TED Data Analysis.html

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  content: "\e252";
}
.glyphicon-triangle-top:before {
  content: "\e253";
}
.glyphicon-console:before {
  content: "\e254";
}
.glyphicon-superscript:before {
  content: "\e255";
}
.glyphicon-subscript:before {
  content: "\e256";
}
.glyphicon-menu-left:before {
  content: "\e257";
}
.glyphicon-menu-right:before {
  content: "\e258";
}
.glyphicon-menu-down:before {
  content: "\e259";
}
.glyphicon-menu-up:before {
  content: "\e260";
}
* {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
*:before,
*:after {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
html {
  font-size: 10px;
  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
}
body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-size: 13px;
  line-height: 1.42857143;
  color: #000;
  background-color: #fff;
}
input,
button,
select,
textarea {
  font-family: inherit;
  font-size: inherit;
  line-height: inherit;
}
a {
  color: #337ab7;
  text-decoration: none;
}
a:hover,
a:focus {
  color: #23527c;
  text-decoration: underline;
}
a:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
figure {
  margin: 0;
}
img {
  vertical-align: middle;
}
.img-responsive,
.thumbnail > img,
.thumbnail a > img,
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  display: block;
  max-width: 100%;
  height: auto;
}
.img-rounded {
  border-radius: 3px;
}
.img-thumbnail {
  padding: 4px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: all 0.2s ease-in-out;
  -o-transition: all 0.2s ease-in-out;
  transition: all 0.2s ease-in-out;
  display: inline-block;
  max-width: 100%;
  height: auto;
}
.img-circle {
  border-radius: 50%;
}
hr {
  margin-top: 18px;
  margin-bottom: 18px;
  border: 0;
  border-top: 1px solid #eeeeee;
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  margin: -1px;
  padding: 0;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
[role="button"] {
  cursor: pointer;
}
h1,
h2,
h3,
h4,
h5,
h6,
.h1,
.h2,
.h3,
.h4,
.h5,
.h6 {
  font-family: inherit;
  font-weight: 500;
  line-height: 1.1;
  color: inherit;
}
h1 small,
h2 small,
h3 small,
h4 small,
h5 small,
h6 small,
.h1 small,
.h2 small,
.h3 small,
.h4 small,
.h5 small,
.h6 small,
h1 .small,
h2 .small,
h3 .small,
h4 .small,
h5 .small,
h6 .small,
.h1 .small,
.h2 .small,
.h3 .small,
.h4 .small,
.h5 .small,
.h6 .small {
  font-weight: normal;
  line-height: 1;
  color: #777777;
}
h1,
.h1,
h2,
.h2,
h3,
.h3 {
  margin-top: 18px;
  margin-bottom: 9px;
}
h1 small,
.h1 small,
h2 small,
.h2 small,
h3 small,
.h3 small,
h1 .small,
.h1 .small,
h2 .small,
.h2 .small,
h3 .small,
.h3 .small {
  font-size: 65%;
}
h4,
.h4,
h5,
.h5,
h6,
.h6 {
  margin-top: 9px;
  margin-bottom: 9px;
}
h4 small,
.h4 small,
h5 small,
.h5 small,
h6 small,
.h6 small,
h4 .small,
.h4 .small,
h5 .small,
.h5 .small,
h6 .small,
.h6 .small {
  font-size: 75%;
}
h1,
.h1 {
  font-size: 33px;
}
h2,
.h2 {
  font-size: 27px;
}
h3,
.h3 {
  font-size: 23px;
}
h4,
.h4 {
  font-size: 17px;
}
h5,
.h5 {
  font-size: 13px;
}
h6,
.h6 {
  font-size: 12px;
}
p {
  margin: 0 0 9px;
}
.lead {
  margin-bottom: 18px;
  font-size: 14px;
  font-weight: 300;
  line-height: 1.4;
}
@media (min-width: 768px) {
  .lead {
    font-size: 19.5px;
  }
}
small,
.small {
  font-size: 92%;
}
mark,
.mark {
  background-color: #fcf8e3;
  padding: .2em;
}
.text-left {
  text-align: left;
}
.text-right {
  text-align: right;
}
.text-center {
  text-align: center;
}
.text-justify {
  text-align: justify;
}
.text-nowrap {
  white-space: nowrap;
}
.text-lowercase {
  text-transform: lowercase;
}
.text-uppercase {
  text-transform: uppercase;
}
.text-capitalize {
  text-transform: capitalize;
}
.text-muted {
  color: #777777;
}
.text-primary {
  color: #337ab7;
}
a.text-primary:hover,
a.text-primary:focus {
  color: #286090;
}
.text-success {
  color: #3c763d;
}
a.text-success:hover,
a.text-success:focus {
  color: #2b542c;
}
.text-info {
  color: #31708f;
}
a.text-info:hover,
a.text-info:focus {
  color: #245269;
}
.text-warning {
  color: #8a6d3b;
}
a.text-warning:hover,
a.text-warning:focus {
  color: #66512c;
}
.text-danger {
  color: #a94442;
}
a.text-danger:hover,
a.text-danger:focus {
  color: #843534;
}
.bg-primary {
  color: #fff;
  background-color: #337ab7;
}
a.bg-primary:hover,
a.bg-primary:focus {
  background-color: #286090;
}
.bg-success {
  background-color: #dff0d8;
}
a.bg-success:hover,
a.bg-success:focus {
  background-color: #c1e2b3;
}
.bg-info {
  background-color: #d9edf7;
}
a.bg-info:hover,
a.bg-info:focus {
  background-color: #afd9ee;
}
.bg-warning {
  background-color: #fcf8e3;
}
a.bg-warning:hover,
a.bg-warning:focus {
  background-color: #f7ecb5;
}
.bg-danger {
  background-color: #f2dede;
}
a.bg-danger:hover,
a.bg-danger:focus {
  background-color: #e4b9b9;
}
.page-header {
  padding-bottom: 8px;
  margin: 36px 0 18px;
  border-bottom: 1px solid #eeeeee;
}
ul,
ol {
  margin-top: 0;
  margin-bottom: 9px;
}
ul ul,
ol ul,
ul ol,
ol ol {
  margin-bottom: 0;
}
.list-unstyled {
  padding-left: 0;
  list-style: none;
}
.list-inline {
  padding-left: 0;
  list-style: none;
  margin-left: -5px;
}
.list-inline > li {
  display: inline-block;
  padding-left: 5px;
  padding-right: 5px;
}
dl {
  margin-top: 0;
  margin-bottom: 18px;
}
dt,
dd {
  line-height: 1.42857143;
}
dt {
  font-weight: bold;
}
dd {
  margin-left: 0;
}
@media (min-width: 541px) {
  .dl-horizontal dt {
    float: left;
    width: 160px;
    clear: left;
    text-align: right;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
  }
  .dl-horizontal dd {
    margin-left: 180px;
  }
}
abbr[title],
abbr[data-original-title] {
  cursor: help;
  border-bottom: 1px dotted #777777;
}
.initialism {
  font-size: 90%;
  text-transform: uppercase;
}
blockquote {
  padding: 9px 18px;
  margin: 0 0 18px;
  font-size: inherit;
  border-left: 5px solid #eeeeee;
}
blockquote p:last-child,
blockquote ul:last-child,
blockquote ol:last-child {
  margin-bottom: 0;
}
blockquote footer,
blockquote small,
blockquote .small {
  display: block;
  font-size: 80%;
  line-height: 1.42857143;
  color: #777777;
}
blockquote footer:before,
blockquote small:before,
blockquote .small:before {
  content: '\2014 \00A0';
}
.blockquote-reverse,
blockquote.pull-right {
  padding-right: 15px;
  padding-left: 0;
  border-right: 5px solid #eeeeee;
  border-left: 0;
  text-align: right;
}
.blockquote-reverse footer:before,
blockquote.pull-right footer:before,
.blockquote-reverse small:before,
blockquote.pull-right small:before,
.blockquote-reverse .small:before,
blockquote.pull-right .small:before {
  content: '';
}
.blockquote-reverse footer:after,
blockquote.pull-right footer:after,
.blockquote-reverse small:after,
blockquote.pull-right small:after,
.blockquote-reverse .small:after,
blockquote.pull-right .small:after {
  content: '\00A0 \2014';
}
address {
  margin-bottom: 18px;
  font-style: normal;
  line-height: 1.42857143;
}
code,
kbd,
pre,
samp {
  font-family: monospace;
}
code {
  padding: 2px 4px;
  font-size: 90%;
  color: #c7254e;
  background-color: #f9f2f4;
  border-radius: 2px;
}
kbd {
  padding: 2px 4px;
  font-size: 90%;
  color: #888;
  background-color: transparent;
  border-radius: 1px;
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
}
kbd kbd {
  padding: 0;
  font-size: 100%;
  font-weight: bold;
  box-shadow: none;
}
pre {
  display: block;
  padding: 8.5px;
  margin: 0 0 9px;
  font-size: 12px;
  line-height: 1.42857143;
  word-break: break-all;
  word-wrap: break-word;
  color: #333333;
  background-color: #f5f5f5;
  border: 1px solid #ccc;
  border-radius: 2px;
}
pre code {
  padding: 0;
  font-size: inherit;
  color: inherit;
  white-space: pre-wrap;
  background-color: transparent;
  border-radius: 0;
}
.pre-scrollable {
  max-height: 340px;
  overflow-y: scroll;
}
.container {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
@media (min-width: 768px) {
  .container {
    width: 768px;
  }
}
@media (min-width: 992px) {
  .container {
    width: 940px;
  }
}
@media (min-width: 1200px) {
  .container {
    width: 1140px;
  }
}
.container-fluid {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
.row {
  margin-left: 0px;
  margin-right: 0px;
}
.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
  position: relative;
  min-height: 1px;
  padding-left: 0px;
  padding-right: 0px;
}
.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
  float: left;
}
.col-xs-12 {
  width: 100%;
}
.col-xs-11 {
  width: 91.66666667%;
}
.col-xs-10 {
  width: 83.33333333%;
}
.col-xs-9 {
  width: 75%;
}
.col-xs-8 {
  width: 66.66666667%;
}
.col-xs-7 {
  width: 58.33333333%;
}
.col-xs-6 {
  width: 50%;
}
.col-xs-5 {
  width: 41.66666667%;
}
.col-xs-4 {
  width: 33.33333333%;
}
.col-xs-3 {
  width: 25%;
}
.col-xs-2 {
  width: 16.66666667%;
}
.col-xs-1 {
  width: 8.33333333%;
}
.col-xs-pull-12 {
  right: 100%;
}
.col-xs-pull-11 {
  right: 91.66666667%;
}
.col-xs-pull-10 {
  right: 83.33333333%;
}
.col-xs-pull-9 {
  right: 75%;
}
.col-xs-pull-8 {
  right: 66.66666667%;
}
.col-xs-pull-7 {
  right: 58.33333333%;
}
.col-xs-pull-6 {
  right: 50%;
}
.col-xs-pull-5 {
  right: 41.66666667%;
}
.col-xs-pull-4 {
  right: 33.33333333%;
}
.col-xs-pull-3 {
  right: 25%;
}
.col-xs-pull-2 {
  right: 16.66666667%;
}
.col-xs-pull-1 {
  right: 8.33333333%;
}
.col-xs-pull-0 {
  right: auto;
}
.col-xs-push-12 {
  left: 100%;
}
.col-xs-push-11 {
  left: 91.66666667%;
}
.col-xs-push-10 {
  left: 83.33333333%;
}
.col-xs-push-9 {
  left: 75%;
}
.col-xs-push-8 {
  left: 66.66666667%;
}
.col-xs-push-7 {
  left: 58.33333333%;
}
.col-xs-push-6 {
  left: 50%;
}
.col-xs-push-5 {
  left: 41.66666667%;
}
.col-xs-push-4 {
  left: 33.33333333%;
}
.col-xs-push-3 {
  left: 25%;
}
.col-xs-push-2 {
  left: 16.66666667%;
}
.col-xs-push-1 {
  left: 8.33333333%;
}
.col-xs-push-0 {
  left: auto;
}
.col-xs-offset-12 {
  margin-left: 100%;
}
.col-xs-offset-11 {
  margin-left: 91.66666667%;
}
.col-xs-offset-10 {
  margin-left: 83.33333333%;
}
.col-xs-offset-9 {
  margin-left: 75%;
}
.col-xs-offset-8 {
  margin-left: 66.66666667%;
}
.col-xs-offset-7 {
  margin-left: 58.33333333%;
}
.col-xs-offset-6 {
  margin-left: 50%;
}
.col-xs-offset-5 {
  margin-left: 41.66666667%;
}
.col-xs-offset-4 {
  margin-left: 33.33333333%;
}
.col-xs-offset-3 {
  margin-left: 25%;
}
.col-xs-offset-2 {
  margin-left: 16.66666667%;
}
.col-xs-offset-1 {
  margin-left: 8.33333333%;
}
.col-xs-offset-0 {
  margin-left: 0%;
}
@media (min-width: 768px) {
  .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
    float: left;
  }
  .col-sm-12 {
    width: 100%;
  }
  .col-sm-11 {
    width: 91.66666667%;
  }
  .col-sm-10 {
    width: 83.33333333%;
  }
  .col-sm-9 {
    width: 75%;
  }
  .col-sm-8 {
    width: 66.66666667%;
  }
  .col-sm-7 {
    width: 58.33333333%;
  }
  .col-sm-6 {
    width: 50%;
  }
  .col-sm-5 {
    width: 41.66666667%;
  }
  .col-sm-4 {
    width: 33.33333333%;
  }
  .col-sm-3 {
    width: 25%;
  }
  .col-sm-2 {
    width: 16.66666667%;
  }
  .col-sm-1 {
    width: 8.33333333%;
  }
  .col-sm-pull-12 {
    right: 100%;
  }
  .col-sm-pull-11 {
    right: 91.66666667%;
  }
  .col-sm-pull-10 {
    right: 83.33333333%;
  }
  .col-sm-pull-9 {
    right: 75%;
  }
  .col-sm-pull-8 {
    right: 66.66666667%;
  }
  .col-sm-pull-7 {
    right: 58.33333333%;
  }
  .col-sm-pull-6 {
    right: 50%;
  }
  .col-sm-pull-5 {
    right: 41.66666667%;
  }
  .col-sm-pull-4 {
    right: 33.33333333%;
  }
  .col-sm-pull-3 {
    right: 25%;
  }
  .col-sm-pull-2 {
    right: 16.66666667%;
  }
  .col-sm-pull-1 {
    right: 8.33333333%;
  }
  .col-sm-pull-0 {
    right: auto;
  }
  .col-sm-push-12 {
    left: 100%;
  }
  .col-sm-push-11 {
    left: 91.66666667%;
  }
  .col-sm-push-10 {
    left: 83.33333333%;
  }
  .col-sm-push-9 {
    left: 75%;
  }
  .col-sm-push-8 {
    left: 66.66666667%;
  }
  .col-sm-push-7 {
    left: 58.33333333%;
  }
  .col-sm-push-6 {
    left: 50%;
  }
  .col-sm-push-5 {
    left: 41.66666667%;
  }
  .col-sm-push-4 {
    left: 33.33333333%;
  }
  .col-sm-push-3 {
    left: 25%;
  }
  .col-sm-push-2 {
    left: 16.66666667%;
  }
  .col-sm-push-1 {
    left: 8.33333333%;
  }
  .col-sm-push-0 {
    left: auto;
  }
  .col-sm-offset-12 {
    margin-left: 100%;
  }
  .col-sm-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-sm-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-sm-offset-9 {
    margin-left: 75%;
  }
  .col-sm-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-sm-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-sm-offset-6 {
    margin-left: 50%;
  }
  .col-sm-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-sm-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-sm-offset-3 {
    margin-left: 25%;
  }
  .col-sm-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-sm-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-sm-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 992px) {
  .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
    float: left;
  }
  .col-md-12 {
    width: 100%;
  }
  .col-md-11 {
    width: 91.66666667%;
  }
  .col-md-10 {
    width: 83.33333333%;
  }
  .col-md-9 {
    width: 75%;
  }
  .col-md-8 {
    width: 66.66666667%;
  }
  .col-md-7 {
    width: 58.33333333%;
  }
  .col-md-6 {
    width: 50%;
  }
  .col-md-5 {
    width: 41.66666667%;
  }
  .col-md-4 {
    width: 33.33333333%;
  }
  .col-md-3 {
    width: 25%;
  }
  .col-md-2 {
    width: 16.66666667%;
  }
  .col-md-1 {
    width: 8.33333333%;
  }
  .col-md-pull-12 {
    right: 100%;
  }
  .col-md-pull-11 {
    right: 91.66666667%;
  }
  .col-md-pull-10 {
    right: 83.33333333%;
  }
  .col-md-pull-9 {
    right: 75%;
  }
  .col-md-pull-8 {
    right: 66.66666667%;
  }
  .col-md-pull-7 {
    right: 58.33333333%;
  }
  .col-md-pull-6 {
    right: 50%;
  }
  .col-md-pull-5 {
    right: 41.66666667%;
  }
  .col-md-pull-4 {
    right: 33.33333333%;
  }
  .col-md-pull-3 {
    right: 25%;
  }
  .col-md-pull-2 {
    right: 16.66666667%;
  }
  .col-md-pull-1 {
    right: 8.33333333%;
  }
  .col-md-pull-0 {
    right: auto;
  }
  .col-md-push-12 {
    left: 100%;
  }
  .col-md-push-11 {
    left: 91.66666667%;
  }
  .col-md-push-10 {
    left: 83.33333333%;
  }
  .col-md-push-9 {
    left: 75%;
  }
  .col-md-push-8 {
    left: 66.66666667%;
  }
  .col-md-push-7 {
    left: 58.33333333%;
  }
  .col-md-push-6 {
    left: 50%;
  }
  .col-md-push-5 {
    left: 41.66666667%;
  }
  .col-md-push-4 {
    left: 33.33333333%;
  }
  .col-md-push-3 {
    left: 25%;
  }
  .col-md-push-2 {
    left: 16.66666667%;
  }
  .col-md-push-1 {
    left: 8.33333333%;
  }
  .col-md-push-0 {
    left: auto;
  }
  .col-md-offset-12 {
    margin-left: 100%;
  }
  .col-md-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-md-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-md-offset-9 {
    margin-left: 75%;
  }
  .col-md-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-md-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-md-offset-6 {
    margin-left: 50%;
  }
  .col-md-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-md-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-md-offset-3 {
    margin-left: 25%;
  }
  .col-md-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-md-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-md-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 1200px) {
  .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
    float: left;
  }
  .col-lg-12 {
    width: 100%;
  }
  .col-lg-11 {
    width: 91.66666667%;
  }
  .col-lg-10 {
    width: 83.33333333%;
  }
  .col-lg-9 {
    width: 75%;
  }
  .col-lg-8 {
    width: 66.66666667%;
  }
  .col-lg-7 {
    width: 58.33333333%;
  }
  .col-lg-6 {
    width: 50%;
  }
  .col-lg-5 {
    width: 41.66666667%;
  }
  .col-lg-4 {
    width: 33.33333333%;
  }
  .col-lg-3 {
    width: 25%;
  }
  .col-lg-2 {
    width: 16.66666667%;
  }
  .col-lg-1 {
    width: 8.33333333%;
  }
  .col-lg-pull-12 {
    right: 100%;
  }
  .col-lg-pull-11 {
    right: 91.66666667%;
  }
  .col-lg-pull-10 {
    right: 83.33333333%;
  }
  .col-lg-pull-9 {
    right: 75%;
  }
  .col-lg-pull-8 {
    right: 66.66666667%;
  }
  .col-lg-pull-7 {
    right: 58.33333333%;
  }
  .col-lg-pull-6 {
    right: 50%;
  }
  .col-lg-pull-5 {
    right: 41.66666667%;
  }
  .col-lg-pull-4 {
    right: 33.33333333%;
  }
  .col-lg-pull-3 {
    right: 25%;
  }
  .col-lg-pull-2 {
    right: 16.66666667%;
  }
  .col-lg-pull-1 {
    right: 8.33333333%;
  }
  .col-lg-pull-0 {
    right: auto;
  }
  .col-lg-push-12 {
    left: 100%;
  }
  .col-lg-push-11 {
    left: 91.66666667%;
  }
  .col-lg-push-10 {
    left: 83.33333333%;
  }
  .col-lg-push-9 {
    left: 75%;
  }
  .col-lg-push-8 {
    left: 66.66666667%;
  }
  .col-lg-push-7 {
    left: 58.33333333%;
  }
  .col-lg-push-6 {
    left: 50%;
  }
  .col-lg-push-5 {
    left: 41.66666667%;
  }
  .col-lg-push-4 {
    left: 33.33333333%;
  }
  .col-lg-push-3 {
    left: 25%;
  }
  .col-lg-push-2 {
    left: 16.66666667%;
  }
  .col-lg-push-1 {
    left: 8.33333333%;
  }
  .col-lg-push-0 {
    left: auto;
  }
  .col-lg-offset-12 {
    margin-left: 100%;
  }
  .col-lg-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-lg-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-lg-offset-9 {
    margin-left: 75%;
  }
  .col-lg-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-lg-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-lg-offset-6 {
    margin-left: 50%;
  }
  .col-lg-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-lg-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-lg-offset-3 {
    margin-left: 25%;
  }
  .col-lg-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-lg-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-lg-offset-0 {
    margin-left: 0%;
  }
}
table {
  background-color: transparent;
}
caption {
  padding-top: 8px;
  padding-bottom: 8px;
  color: #777777;
  text-align: left;
}
th {
  text-align: left;
}
.table {
  width: 100%;
  max-width: 100%;
  margin-bottom: 18px;
}
.table > thead > tr > th,
.table > tbody > tr > th,
.table > tfoot > tr > th,
.table > thead > tr > td,
.table > tbody > tr > td,
.table > tfoot > tr > td {
  padding: 8px;
  line-height: 1.42857143;
  vertical-align: top;
  border-top: 1px solid #ddd;
}
.table > thead > tr > th {
  vertical-align: bottom;
  border-bottom: 2px solid #ddd;
}
.table > caption + thead > tr:first-child > th,
.table > colgroup + thead > tr:first-child > th,
.table > thead:first-child > tr:first-child > th,
.table > caption + thead > tr:first-child > td,
.table > colgroup + thead > tr:first-child > td,
.table > thead:first-child > tr:first-child > td {
  border-top: 0;
}
.table > tbody + tbody {
  border-top: 2px solid #ddd;
}
.table .table {
  background-color: #fff;
}
.table-condensed > thead > tr > th,
.table-condensed > tbody > tr > th,
.table-condensed > tfoot > tr > th,
.table-condensed > thead > tr > td,
.table-condensed > tbody > tr > td,
.table-condensed > tfoot > tr > td {
  padding: 5px;
}
.table-bordered {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > tbody > tr > th,
.table-bordered > tfoot > tr > th,
.table-bordered > thead > tr > td,
.table-bordered > tbody > tr > td,
.table-bordered > tfoot > tr > td {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > thead > tr > td {
  border-bottom-width: 2px;
}
.table-striped > tbody > tr:nth-of-type(odd) {
  background-color: #f9f9f9;
}
.table-hover > tbody > tr:hover {
  background-color: #f5f5f5;
}
table col[class*="col-"] {
  position: static;
  float: none;
  display: table-column;
}
table td[class*="col-"],
table th[class*="col-"] {
  position: static;
  float: none;
  display: table-cell;
}
.table > thead > tr > td.active,
.table > tbody > tr > td.active,
.table > tfoot > tr > td.active,
.table > thead > tr > th.active,
.table > tbody > tr > th.active,
.table > tfoot > tr > th.active,
.table > thead > tr.active > td,
.table > tbody > tr.active > td,
.table > tfoot > tr.active > td,
.table > thead > tr.active > th,
.table > tbody > tr.active > th,
.table > tfoot > tr.active > th {
  background-color: #f5f5f5;
}
.table-hover > tbody > tr > td.active:hover,
.table-hover > tbody > tr > th.active:hover,
.table-hover > tbody > tr.active:hover > td,
.table-hover > tbody > tr:hover > .active,
.table-hover > tbody > tr.active:hover > th {
  background-color: #e8e8e8;
}
.table > thead > tr > td.success,
.table > tbody > tr > td.success,
.table > tfoot > tr > td.success,
.table > thead > tr > th.success,
.table > tbody > tr > th.success,
.table > tfoot > tr > th.success,
.table > thead > tr.success > td,
.table > tbody > tr.success > td,
.table > tfoot > tr.success > td,
.table > thead > tr.success > th,
.table > tbody > tr.success > th,
.table > tfoot > tr.success > th {
  background-color: #dff0d8;
}
.table-hover > tbody > tr > td.success:hover,
.table-hover > tbody > tr > th.success:hover,
.table-hover > tbody > tr.success:hover > td,
.table-hover > tbody > tr:hover > .success,
.table-hover > tbody > tr.success:hover > th {
  background-color: #d0e9c6;
}
.table > thead > tr > td.info,
.table > tbody > tr > td.info,
.table > tfoot > tr > td.info,
.table > thead > tr > th.info,
.table > tbody > tr > th.info,
.table > tfoot > tr > th.info,
.table > thead > tr.info > td,
.table > tbody > tr.info > td,
.table > tfoot > tr.info > td,
.table > thead > tr.info > th,
.table > tbody > tr.info > th,
.table > tfoot > tr.info > th {
  background-color: #d9edf7;
}
.table-hover > tbody > tr > td.info:hover,
.table-hover > tbody > tr > th.info:hover,
.table-hover > tbody > tr.info:hover > td,
.table-hover > tbody > tr:hover > .info,
.table-hover > tbody > tr.info:hover > th {
  background-color: #c4e3f3;
}
.table > thead > tr > td.warning,
.table > tbody > tr > td.warning,
.table > tfoot > tr > td.warning,
.table > thead > tr > th.warning,
.table > tbody > tr > th.warning,
.table > tfoot > tr > th.warning,
.table > thead > tr.warning > td,
.table > tbody > tr.warning > td,
.table > tfoot > tr.warning > td,
.table > thead > tr.warning > th,
.table > tbody > tr.warning > th,
.table > tfoot > tr.warning > th {
  background-color: #fcf8e3;
}
.table-hover > tbody > tr > td.warning:hover,
.table-hover > tbody > tr > th.warning:hover,
.table-hover > tbody > tr.warning:hover > td,
.table-hover > tbody > tr:hover > .warning,
.table-hover > tbody > tr.warning:hover > th {
  background-color: #faf2cc;
}
.table > thead > tr > td.danger,
.table > tbody > tr > td.danger,
.table > tfoot > tr > td.danger,
.table > thead > tr > th.danger,
.table > tbody > tr > th.danger,
.table > tfoot > tr > th.danger,
.table > thead > tr.danger > td,
.table > tbody > tr.danger > td,
.table > tfoot > tr.danger > td,
.table > thead > tr.danger > th,
.table > tbody > tr.danger > th,
.table > tfoot > tr.danger > th {
  background-color: #f2dede;
}
.table-hover > tbody > tr > td.danger:hover,
.table-hover > tbody > tr > th.danger:hover,
.table-hover > tbody > tr.danger:hover > td,
.table-hover > tbody > tr:hover > .danger,
.table-hover > tbody > tr.danger:hover > th {
  background-color: #ebcccc;
}
.table-responsive {
  overflow-x: auto;
  min-height: 0.01%;
}
@media screen and (max-width: 767px) {
  .table-responsive {
    width: 100%;
    margin-bottom: 13.5px;
    overflow-y: hidden;
    -ms-overflow-style: -ms-autohiding-scrollbar;
    border: 1px solid #ddd;
  }
  .table-responsive > .table {
    margin-bottom: 0;
  }
  .table-responsive > .table > thead > tr > th,
  .table-responsive > .table > tbody > tr > th,
  .table-responsive > .table > tfoot > tr > th,
  .table-responsive > .table > thead > tr > td,
  .table-responsive > .table > tbody > tr > td,
  .table-responsive > .table > tfoot > tr > td {
    white-space: nowrap;
  }
  .table-responsive > .table-bordered {
    border: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:first-child,
  .table-responsive > .table-bordered > tbody > tr > th:first-child,
  .table-responsive > .table-bordered > tfoot > tr > th:first-child,
  .table-responsive > .table-bordered > thead > tr > td:first-child,
  .table-responsive > .table-bordered > tbody > tr > td:first-child,
  .table-responsive > .table-bordered > tfoot > tr > td:first-child {
    border-left: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:last-child,
  .table-responsive > .table-bordered > tbody > tr > th:last-child,
  .table-responsive > .table-bordered > tfoot > tr > th:last-child,
  .table-responsive > .table-bordered > thead > tr > td:last-child,
  .table-responsive > .table-bordered > tbody > tr > td:last-child,
  .table-responsive > .table-bordered > tfoot > tr > td:last-child {
    border-right: 0;
  }
  .table-responsive > .table-bordered > tbody > tr:last-child > th,
  .table-responsive > .table-bordered > tfoot > tr:last-child > th,
  .table-responsive > .table-bordered > tbody > tr:last-child > td,
  .table-responsive > .table-bordered > tfoot > tr:last-child > td {
    border-bottom: 0;
  }
}
fieldset {
  padding: 0;
  margin: 0;
  border: 0;
  min-width: 0;
}
legend {
  display: block;
  width: 100%;
  padding: 0;
  margin-bottom: 18px;
  font-size: 19.5px;
  line-height: inherit;
  color: #333333;
  border: 0;
  border-bottom: 1px solid #e5e5e5;
}
label {
  display: inline-block;
  max-width: 100%;
  margin-bottom: 5px;
  font-weight: bold;
}
input[type="search"] {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
input[type="radio"],
input[type="checkbox"] {
  margin: 4px 0 0;
  margin-top: 1px \9;
  line-height: normal;
}
input[type="file"] {
  display: block;
}
input[type="range"] {
  display: block;
  width: 100%;
}
select[multiple],
select[size] {
  height: auto;
}
input[type="file"]:focus,
input[type="radio"]:focus,
input[type="checkbox"]:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
output {
  display: block;
  padding-top: 7px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
}
.form-control {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
}
.form-control:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.form-control::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.form-control:-ms-input-placeholder {
  color: #999;
}
.form-control::-webkit-input-placeholder {
  color: #999;
}
.form-control::-ms-expand {
  border: 0;
  background-color: transparent;
}
.form-control[disabled],
.form-control[readonly],
fieldset[disabled] .form-control {
  background-color: #eeeeee;
  opacity: 1;
}
.form-control[disabled],
fieldset[disabled] .form-control {
  cursor: not-allowed;
}
textarea.form-control {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: none;
}
@media screen and (-webkit-min-device-pixel-ratio: 0) {
  input[type="date"].form-control,
  input[type="time"].form-control,
  input[type="datetime-local"].form-control,
  input[type="month"].form-control {
    line-height: 32px;
  }
  input[type="date"].input-sm,
  input[type="time"].input-sm,
  input[type="datetime-local"].input-sm,
  input[type="month"].input-sm,
  .input-group-sm input[type="date"],
  .input-group-sm input[type="time"],
  .input-group-sm input[type="datetime-local"],
  .input-group-sm input[type="month"] {
    line-height: 30px;
  }
  input[type="date"].input-lg,
  input[type="time"].input-lg,
  input[type="datetime-local"].input-lg,
  input[type="month"].input-lg,
  .input-group-lg input[type="date"],
  .input-group-lg input[type="time"],
  .input-group-lg input[type="datetime-local"],
  .input-group-lg input[type="month"] {
    line-height: 45px;
  }
}
.form-group {
  margin-bottom: 15px;
}
.radio,
.checkbox {
  position: relative;
  display: block;
  margin-top: 10px;
  margin-bottom: 10px;
}
.radio label,
.checkbox label {
  min-height: 18px;
  padding-left: 20px;
  margin-bottom: 0;
  font-weight: normal;
  cursor: pointer;
}
.radio input[type="radio"],
.radio-inline input[type="radio"],
.checkbox input[type="checkbox"],
.checkbox-inline input[type="checkbox"] {
  position: absolute;
  margin-left: -20px;
  margin-top: 4px \9;
}
.radio + .radio,
.checkbox + .checkbox {
  margin-top: -5px;
}
.radio-inline,
.checkbox-inline {
  position: relative;
  display: inline-block;
  padding-left: 20px;
  margin-bottom: 0;
  vertical-align: middle;
  font-weight: normal;
  cursor: pointer;
}
.radio-inline + .radio-inline,
.checkbox-inline + .checkbox-inline {
  margin-top: 0;
  margin-left: 10px;
}
input[type="radio"][disabled],
input[type="checkbox"][disabled],
input[type="radio"].disabled,
input[type="checkbox"].disabled,
fieldset[disabled] input[type="radio"],
fieldset[disabled] input[type="checkbox"] {
  cursor: not-allowed;
}
.radio-inline.disabled,
.checkbox-inline.disabled,
fieldset[disabled] .radio-inline,
fieldset[disabled] .checkbox-inline {
  cursor: not-allowed;
}
.radio.disabled label,
.checkbox.disabled label,
fieldset[disabled] .radio label,
fieldset[disabled] .checkbox label {
  cursor: not-allowed;
}
.form-control-static {
  padding-top: 7px;
  padding-bottom: 7px;
  margin-bottom: 0;
  min-height: 31px;
}
.form-control-static.input-lg,
.form-control-static.input-sm {
  padding-left: 0;
  padding-right: 0;
}
.input-sm {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-sm {
  height: 30px;
  line-height: 30px;
}
textarea.input-sm,
select[multiple].input-sm {
  height: auto;
}
.form-group-sm .form-control {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.form-group-sm select.form-control {
  height: 30px;
  line-height: 30px;
}
.form-group-sm textarea.form-control,
.form-group-sm select[multiple].form-control {
  height: auto;
}
.form-group-sm .form-control-static {
  height: 30px;
  min-height: 30px;
  padding: 6px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.input-lg {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-lg {
  height: 45px;
  line-height: 45px;
}
textarea.input-lg,
select[multiple].input-lg {
  height: auto;
}
.form-group-lg .form-control {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.form-group-lg select.form-control {
  height: 45px;
  line-height: 45px;
}
.form-group-lg textarea.form-control,
.form-group-lg select[multiple].form-control {
  height: auto;
}
.form-group-lg .form-control-static {
  height: 45px;
  min-height: 35px;
  padding: 11px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.has-feedback {
  position: relative;
}
.has-feedback .form-control {
  padding-right: 40px;
}
.form-control-feedback {
  position: absolute;
  top: 0;
  right: 0;
  z-index: 2;
  display: block;
  width: 32px;
  height: 32px;
  line-height: 32px;
  text-align: center;
  pointer-events: none;
}
.input-lg + .form-control-feedback,
.input-group-lg + .form-control-feedback,
.form-group-lg .form-control + .form-control-feedback {
  width: 45px;
  height: 45px;
  line-height: 45px;
}
.input-sm + .form-control-feedback,
.input-group-sm + .form-control-feedback,
.form-group-sm .form-control + .form-control-feedback {
  width: 30px;
  height: 30px;
  line-height: 30px;
}
.has-success .help-block,
.has-success .control-label,
.has-success .radio,
.has-success .checkbox,
.has-success .radio-inline,
.has-success .checkbox-inline,
.has-success.radio label,
.has-success.checkbox label,
.has-success.radio-inline label,
.has-success.checkbox-inline label {
  color: #3c763d;
}
.has-success .form-control {
  border-color: #3c763d;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-success .form-control:focus {
  border-color: #2b542c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
}
.has-success .input-group-addon {
  color: #3c763d;
  border-color: #3c763d;
  background-color: #dff0d8;
}
.has-success .form-control-feedback {
  color: #3c763d;
}
.has-warning .help-block,
.has-warning .control-label,
.has-warning .radio,
.has-warning .checkbox,
.has-warning .radio-inline,
.has-warning .checkbox-inline,
.has-warning.radio label,
.has-warning.checkbox label,
.has-warning.radio-inline label,
.has-warning.checkbox-inline label {
  color: #8a6d3b;
}
.has-warning .form-control {
  border-color: #8a6d3b;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-warning .form-control:focus {
  border-color: #66512c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
}
.has-warning .input-group-addon {
  color: #8a6d3b;
  border-color: #8a6d3b;
  background-color: #fcf8e3;
}
.has-warning .form-control-feedback {
  color: #8a6d3b;
}
.has-error .help-block,
.has-error .control-label,
.has-error .radio,
.has-error .checkbox,
.has-error .radio-inline,
.has-error .checkbox-inline,
.has-error.radio label,
.has-error.checkbox label,
.has-error.radio-inline label,
.has-error.checkbox-inline label {
  color: #a94442;
}
.has-error .form-control {
  border-color: #a94442;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-error .form-control:focus {
  border-color: #843534;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
}
.has-error .input-group-addon {
  color: #a94442;
  border-color: #a94442;
  background-color: #f2dede;
}
.has-error .form-control-feedback {
  color: #a94442;
}
.has-feedback label ~ .form-control-feedback {
  top: 23px;
}
.has-feedback label.sr-only ~ .form-control-feedback {
  top: 0;
}
.help-block {
  display: block;
  margin-top: 5px;
  margin-bottom: 10px;
  color: #404040;
}
@media (min-width: 768px) {
  .form-inline .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .form-inline .form-control-static {
    display: inline-block;
  }
  .form-inline .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .form-inline .input-group .input-group-addon,
  .form-inline .input-group .input-group-btn,
  .form-inline .input-group .form-control {
    width: auto;
  }
  .form-inline .input-group > .form-control {
    width: 100%;
  }
  .form-inline .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio,
  .form-inline .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio label,
  .form-inline .checkbox label {
    padding-left: 0;
  }
  .form-inline .radio input[type="radio"],
  .form-inline .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .form-inline .has-feedback .form-control-feedback {
    top: 0;
  }
}
.form-horizontal .radio,
.form-horizontal .checkbox,
.form-horizontal .radio-inline,
.form-horizontal .checkbox-inline {
  margin-top: 0;
  margin-bottom: 0;
  padding-top: 7px;
}
.form-horizontal .radio,
.form-horizontal .checkbox {
  min-height: 25px;
}
.form-horizontal .form-group {
  margin-left: 0px;
  margin-right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .control-label {
    text-align: right;
    margin-bottom: 0;
    padding-top: 7px;
  }
}
.form-horizontal .has-feedback .form-control-feedback {
  right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .form-group-lg .control-label {
    padding-top: 11px;
    font-size: 17px;
  }
}
@media (min-width: 768px) {
  .form-horizontal .form-group-sm .control-label {
    padding-top: 6px;
    font-size: 12px;
  }
}
.btn {
  display: inline-block;
  margin-bottom: 0;
  font-weight: normal;
  text-align: center;
  vertical-align: middle;
  touch-action: manipulation;
  cursor: pointer;
  background-image: none;
  border: 1px solid transparent;
  white-space: nowrap;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  border-radius: 2px;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}
.btn:focus,
.btn:active:focus,
.btn.active:focus,
.btn.focus,
.btn:active.focus,
.btn.active.focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
.btn:hover,
.btn:focus,
.btn.focus {
  color: #333;
  text-decoration: none;
}
.btn:active,
.btn.active {
  outline: 0;
  background-image: none;
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn.disabled,
.btn[disabled],
fieldset[disabled] .btn {
  cursor: not-allowed;
  opacity: 0.65;
  filter: alpha(opacity=65);
  -webkit-box-shadow: none;
  box-shadow: none;
}
a.btn.disabled,
fieldset[disabled] a.btn {
  pointer-events: none;
}
.btn-default {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.btn-default:focus,
.btn-default.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.btn-default:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active:hover,
.btn-default.active:hover,
.open > .dropdown-toggle.btn-default:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.open > .dropdown-toggle.btn-default:focus,
.btn-default:active.focus,
.btn-default.active.focus,
.open > .dropdown-toggle.btn-default.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  background-image: none;
}
.btn-default.disabled:hover,
.btn-default[disabled]:hover,
fieldset[disabled] .btn-default:hover,
.btn-default.disabled:focus,
.btn-default[disabled]:focus,
fieldset[disabled] .btn-default:focus,
.btn-default.disabled.focus,
.btn-default[disabled].focus,
fieldset[disabled] .btn-default.focus {
  background-color: #fff;
  border-color: #ccc;
}
.btn-default .badge {
  color: #fff;
  background-color: #333;
}
.btn-primary {
  color: #fff;
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary:focus,
.btn-primary.focus {
  color: #fff;
  background-color: #286090;
  border-color: #122b40;
}
.btn-primary:hover {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active:hover,
.btn-primary.active:hover,
.open > .dropdown-toggle.btn-primary:hover,
.btn-primary:active:focus,
.btn-primary.active:focus,
.open > .dropdown-toggle.btn-primary:focus,
.btn-primary:active.focus,
.btn-primary.active.focus,
.open > .dropdown-toggle.btn-primary.focus {
  color: #fff;
  background-color: #204d74;
  border-color: #122b40;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  background-image: none;
}
.btn-primary.disabled:hover,
.btn-primary[disabled]:hover,
fieldset[disabled] .btn-primary:hover,
.btn-primary.disabled:focus,
.btn-primary[disabled]:focus,
fieldset[disabled] .btn-primary:focus,
.btn-primary.disabled.focus,
.btn-primary[disabled].focus,
fieldset[disabled] .btn-primary.focus {
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary .badge {
  color: #337ab7;
  background-color: #fff;
}
.btn-success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success:focus,
.btn-success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.btn-success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active:hover,
.btn-success.active:hover,
.open > .dropdown-toggle.btn-success:hover,
.btn-success:active:focus,
.btn-success.active:focus,
.open > .dropdown-toggle.btn-success:focus,
.btn-success:active.focus,
.btn-success.active.focus,
.open > .dropdown-toggle.btn-success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  background-image: none;
}
.btn-success.disabled:hover,
.btn-success[disabled]:hover,
fieldset[disabled] .btn-success:hover,
.btn-success.disabled:focus,
.btn-success[disabled]:focus,
fieldset[disabled] .btn-success:focus,
.btn-success.disabled.focus,
.btn-success[disabled].focus,
fieldset[disabled] .btn-success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.btn-info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info:focus,
.btn-info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.btn-info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active:hover,
.btn-info.active:hover,
.open > .dropdown-toggle.btn-info:hover,
.btn-info:active:focus,
.btn-info.active:focus,
.open > .dropdown-toggle.btn-info:focus,
.btn-info:active.focus,
.btn-info.active.focus,
.open > .dropdown-toggle.btn-info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  background-image: none;
}
.btn-info.disabled:hover,
.btn-info[disabled]:hover,
fieldset[disabled] .btn-info:hover,
.btn-info.disabled:focus,
.btn-info[disabled]:focus,
fieldset[disabled] .btn-info:focus,
.btn-info.disabled.focus,
.btn-info[disabled].focus,
fieldset[disabled] .btn-info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.btn-warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning:focus,
.btn-warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.btn-warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active:hover,
.btn-warning.active:hover,
.open > .dropdown-toggle.btn-warning:hover,
.btn-warning:active:focus,
.btn-warning.active:focus,
.open > .dropdown-toggle.btn-warning:focus,
.btn-warning:active.focus,
.btn-warning.active.focus,
.open > .dropdown-toggle.btn-warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  background-image: none;
}
.btn-warning.disabled:hover,
.btn-warning[disabled]:hover,
fieldset[disabled] .btn-warning:hover,
.btn-warning.disabled:focus,
.btn-warning[disabled]:focus,
fieldset[disabled] .btn-warning:focus,
.btn-warning.disabled.focus,
.btn-warning[disabled].focus,
fieldset[disabled] .btn-warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.btn-danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger:focus,
.btn-danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.btn-danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active:hover,
.btn-danger.active:hover,
.open > .dropdown-toggle.btn-danger:hover,
.btn-danger:active:focus,
.btn-danger.active:focus,
.open > .dropdown-toggle.btn-danger:focus,
.btn-danger:active.focus,
.btn-danger.active.focus,
.open > .dropdown-toggle.btn-danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  background-image: none;
}
.btn-danger.disabled:hover,
.btn-danger[disabled]:hover,
fieldset[disabled] .btn-danger:hover,
.btn-danger.disabled:focus,
.btn-danger[disabled]:focus,
fieldset[disabled] .btn-danger:focus,
.btn-danger.disabled.focus,
.btn-danger[disabled].focus,
fieldset[disabled] .btn-danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger .badge {
  color: #d9534f;
  background-color: #fff;
}
.btn-link {
  color: #337ab7;
  font-weight: normal;
  border-radius: 0;
}
.btn-link,
.btn-link:active,
.btn-link.active,
.btn-link[disabled],
fieldset[disabled] .btn-link {
  background-color: transparent;
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn-link,
.btn-link:hover,
.btn-link:focus,
.btn-link:active {
  border-color: transparent;
}
.btn-link:hover,
.btn-link:focus {
  color: #23527c;
  text-decoration: underline;
  background-color: transparent;
}
.btn-link[disabled]:hover,
fieldset[disabled] .btn-link:hover,
.btn-link[disabled]:focus,
fieldset[disabled] .btn-link:focus {
  color: #777777;
  text-decoration: none;
}
.btn-lg,
.btn-group-lg > .btn {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.btn-sm,
.btn-group-sm > .btn {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-xs,
.btn-group-xs > .btn {
  padding: 1px 5px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-block {
  display: block;
  width: 100%;
}
.btn-block + .btn-block {
  margin-top: 5px;
}
input[type="submit"].btn-block,
input[type="reset"].btn-block,
input[type="button"].btn-block {
  width: 100%;
}
.fade {
  opacity: 0;
  -webkit-transition: opacity 0.15s linear;
  -o-transition: opacity 0.15s linear;
  transition: opacity 0.15s linear;
}
.fade.in {
  opacity: 1;
}
.collapse {
  display: none;
}
.collapse.in {
  display: block;
}
tr.collapse.in {
  display: table-row;
}
tbody.collapse.in {
  display: table-row-group;
}
.collapsing {
  position: relative;
  height: 0;
  overflow: hidden;
  -webkit-transition-property: height, visibility;
  transition-property: height, visibility;
  -webkit-transition-duration: 0.35s;
  transition-duration: 0.35s;
  -webkit-transition-timing-function: ease;
  transition-timing-function: ease;
}
.caret {
  display: inline-block;
  width: 0;
  height: 0;
  margin-left: 2px;
  vertical-align: middle;
  border-top: 4px dashed;
  border-top: 4px solid \9;
  border-right: 4px solid transparent;
  border-left: 4px solid transparent;
}
.dropup,
.dropdown {
  position: relative;
}
.dropdown-toggle:focus {
  outline: 0;
}
.dropdown-menu {
  position: absolute;
  top: 100%;
  left: 0;
  z-index: 1000;
  display: none;
  float: left;
  min-width: 160px;
  padding: 5px 0;
  margin: 2px 0 0;
  list-style: none;
  font-size: 13px;
  text-align: left;
  background-color: #fff;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.15);
  border-radius: 2px;
  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  background-clip: padding-box;
}
.dropdown-menu.pull-right {
  right: 0;
  left: auto;
}
.dropdown-menu .divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.dropdown-menu > li > a {
  display: block;
  padding: 3px 20px;
  clear: both;
  font-weight: normal;
  line-height: 1.42857143;
  color: #333333;
  white-space: nowrap;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
  text-decoration: none;
  color: #262626;
  background-color: #f5f5f5;
}
.dropdown-menu > .active > a,
.dropdown-menu > .active > a:hover,
.dropdown-menu > .active > a:focus {
  color: #fff;
  text-decoration: none;
  outline: 0;
  background-color: #337ab7;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  color: #777777;
}
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  text-decoration: none;
  background-color: transparent;
  background-image: none;
  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
  cursor: not-allowed;
}
.open > .dropdown-menu {
  display: block;
}
.open > a {
  outline: 0;
}
.dropdown-menu-right {
  left: auto;
  right: 0;
}
.dropdown-menu-left {
  left: 0;
  right: auto;
}
.dropdown-header {
  display: block;
  padding: 3px 20px;
  font-size: 12px;
  line-height: 1.42857143;
  color: #777777;
  white-space: nowrap;
}
.dropdown-backdrop {
  position: fixed;
  left: 0;
  right: 0;
  bottom: 0;
  top: 0;
  z-index: 990;
}
.pull-right > .dropdown-menu {
  right: 0;
  left: auto;
}
.dropup .caret,
.navbar-fixed-bottom .dropdown .caret {
  border-top: 0;
  border-bottom: 4px dashed;
  border-bottom: 4px solid \9;
  content: "";
}
.dropup .dropdown-menu,
.navbar-fixed-bottom .dropdown .dropdown-menu {
  top: auto;
  bottom: 100%;
  margin-bottom: 2px;
}
@media (min-width: 541px) {
  .navbar-right .dropdown-menu {
    left: auto;
    right: 0;
  }
  .navbar-right .dropdown-menu-left {
    left: 0;
    right: auto;
  }
}
.btn-group,
.btn-group-vertical {
  position: relative;
  display: inline-block;
  vertical-align: middle;
}
.btn-group > .btn,
.btn-group-vertical > .btn {
  position: relative;
  float: left;
}
.btn-group > .btn:hover,
.btn-group-vertical > .btn:hover,
.btn-group > .btn:focus,
.btn-group-vertical > .btn:focus,
.btn-group > .btn:active,
.btn-group-vertical > .btn:active,
.btn-group > .btn.active,
.btn-group-vertical > .btn.active {
  z-index: 2;
}
.btn-group .btn + .btn,
.btn-group .btn + .btn-group,
.btn-group .btn-group + .btn,
.btn-group .btn-group + .btn-group {
  margin-left: -1px;
}
.btn-toolbar {
  margin-left: -5px;
}
.btn-toolbar .btn,
.btn-toolbar .btn-group,
.btn-toolbar .input-group {
  float: left;
}
.btn-toolbar > .btn,
.btn-toolbar > .btn-group,
.btn-toolbar > .input-group {
  margin-left: 5px;
}
.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
  border-radius: 0;
}
.btn-group > .btn:first-child {
  margin-left: 0;
}
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn:last-child:not(:first-child),
.btn-group > .dropdown-toggle:not(:first-child) {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group > .btn-group {
  float: left;
}
.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group .dropdown-toggle:active,
.btn-group.open .dropdown-toggle {
  outline: 0;
}
.btn-group > .btn + .dropdown-toggle {
  padding-left: 8px;
  padding-right: 8px;
}
.btn-group > .btn-lg + .dropdown-toggle {
  padding-left: 12px;
  padding-right: 12px;
}
.btn-group.open .dropdown-toggle {
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn-group.open .dropdown-toggle.btn-link {
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn .caret {
  margin-left: 0;
}
.btn-lg .caret {
  border-width: 5px 5px 0;
  border-bottom-width: 0;
}
.dropup .btn-lg .caret {
  border-width: 0 5px 5px;
}
.btn-group-vertical > .btn,
.btn-group-vertical > .btn-group,
.btn-group-vertical > .btn-group > .btn {
  display: block;
  float: none;
  width: 100%;
  max-width: 100%;
}
.btn-group-vertical > .btn-group > .btn {
  float: none;
}
.btn-group-vertical > .btn + .btn,
.btn-group-vertical > .btn + .btn-group,
.btn-group-vertical > .btn-group + .btn,
.btn-group-vertical > .btn-group + .btn-group {
  margin-top: -1px;
  margin-left: 0;
}
.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.btn-group-vertical > .btn:first-child:not(:last-child) {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn:last-child:not(:first-child) {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.btn-group-justified {
  display: table;
  width: 100%;
  table-layout: fixed;
  border-collapse: separate;
}
.btn-group-justified > .btn,
.btn-group-justified > .btn-group {
  float: none;
  display: table-cell;
  width: 1%;
}
.btn-group-justified > .btn-group .btn {
  width: 100%;
}
.btn-group-justified > .btn-group .dropdown-menu {
  left: auto;
}
[data-toggle="buttons"] > .btn input[type="radio"],
[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
[data-toggle="buttons"] > .btn input[type="checkbox"],
[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
  position: absolute;
  clip: rect(0, 0, 0, 0);
  pointer-events: none;
}
.input-group {
  position: relative;
  display: table;
  border-collapse: separate;
}
.input-group[class*="col-"] {
  float: none;
  padding-left: 0;
  padding-right: 0;
}
.input-group .form-control {
  position: relative;
  z-index: 2;
  float: left;
  width: 100%;
  margin-bottom: 0;
}
.input-group .form-control:focus {
  z-index: 3;
}
.input-group-lg > .form-control,
.input-group-lg > .input-group-addon,
.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-group-lg > .form-control,
select.input-group-lg > .input-group-addon,
select.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  line-height: 45px;
}
textarea.input-group-lg > .form-control,
textarea.input-group-lg > .input-group-addon,
textarea.input-group-lg > .input-group-btn > .btn,
select[multiple].input-group-lg > .form-control,
select[multiple].input-group-lg > .input-group-addon,
select[multiple].input-group-lg > .input-group-btn > .btn {
  height: auto;
}
.input-group-sm > .form-control,
.input-group-sm > .input-group-addon,
.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-group-sm > .form-control,
select.input-group-sm > .input-group-addon,
select.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  line-height: 30px;
}
textarea.input-group-sm > .form-control,
textarea.input-group-sm > .input-group-addon,
textarea.input-group-sm > .input-group-btn > .btn,
select[multiple].input-group-sm > .form-control,
select[multiple].input-group-sm > .input-group-addon,
select[multiple].input-group-sm > .input-group-btn > .btn {
  height: auto;
}
.input-group-addon,
.input-group-btn,
.input-group .form-control {
  display: table-cell;
}
.input-group-addon:not(:first-child):not(:last-child),
.input-group-btn:not(:first-child):not(:last-child),
.input-group .form-control:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.input-group-addon,
.input-group-btn {
  width: 1%;
  white-space: nowrap;
  vertical-align: middle;
}
.input-group-addon {
  padding: 6px 12px;
  font-size: 13px;
  font-weight: normal;
  line-height: 1;
  color: #555555;
  text-align: center;
  background-color: #eeeeee;
  border: 1px solid #ccc;
  border-radius: 2px;
}
.input-group-addon.input-sm {
  padding: 5px 10px;
  font-size: 12px;
  border-radius: 1px;
}
.input-group-addon.input-lg {
  padding: 10px 16px;
  font-size: 17px;
  border-radius: 3px;
}
.input-group-addon input[type="radio"],
.input-group-addon input[type="checkbox"] {
  margin-top: 0;
}
.input-group .form-control:first-child,
.input-group-addon:first-child,
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group > .btn,
.input-group-btn:first-child > .dropdown-toggle,
.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.input-group-addon:first-child {
  border-right: 0;
}
.input-group .form-control:last-child,
.input-group-addon:last-child,
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group > .btn,
.input-group-btn:last-child > .dropdown-toggle,
.input-group-btn:first-child > .btn:not(:first-child),
.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.input-group-addon:last-child {
  border-left: 0;
}
.input-group-btn {
  position: relative;
  font-size: 0;
  white-space: nowrap;
}
.input-group-btn > .btn {
  position: relative;
}
.input-group-btn > .btn + .btn {
  margin-left: -1px;
}
.input-group-btn > .btn:hover,
.input-group-btn > .btn:focus,
.input-group-btn > .btn:active {
  z-index: 2;
}
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group {
  margin-right: -1px;
}
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group {
  z-index: 2;
  margin-left: -1px;
}
.nav {
  margin-bottom: 0;
  padding-left: 0;
  list-style: none;
}
.nav > li {
  position: relative;
  display: block;
}
.nav > li > a {
  position: relative;
  display: block;
  padding: 10px 15px;
}
.nav > li > a:hover,
.nav > li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.nav > li.disabled > a {
  color: #777777;
}
.nav > li.disabled > a:hover,
.nav > li.disabled > a:focus {
  color: #777777;
  text-decoration: none;
  background-color: transparent;
  cursor: not-allowed;
}
.nav .open > a,
.nav .open > a:hover,
.nav .open > a:focus {
  background-color: #eeeeee;
  border-color: #337ab7;
}
.nav .nav-divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.nav > li > a > img {
  max-width: none;
}
.nav-tabs {
  border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
  float: left;
  margin-bottom: -1px;
}
.nav-tabs > li > a {
  margin-right: 2px;
  line-height: 1.42857143;
  border: 1px solid transparent;
  border-radius: 2px 2px 0 0;
}
.nav-tabs > li > a:hover {
  border-color: #eeeeee #eeeeee #ddd;
}
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
  color: #555555;
  background-color: #fff;
  border: 1px solid #ddd;
  border-bottom-color: transparent;
  cursor: default;
}
.nav-tabs.nav-justified {
  width: 100%;
  border-bottom: 0;
}
.nav-tabs.nav-justified > li {
  float: none;
}
.nav-tabs.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-tabs.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-tabs.nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs.nav-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs.nav-justified > .active > a,
  .nav-tabs.nav-justified > .active > a:hover,
  .nav-tabs.nav-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.nav-pills > li {
  float: left;
}
.nav-pills > li > a {
  border-radius: 2px;
}
.nav-pills > li + li {
  margin-left: 2px;
}
.nav-pills > li.active > a,
.nav-pills > li.active > a:hover,
.nav-pills > li.active > a:focus {
  color: #fff;
  background-color: #337ab7;
}
.nav-stacked > li {
  float: none;
}
.nav-stacked > li + li {
  margin-top: 2px;
  margin-left: 0;
}
.nav-justified {
  width: 100%;
}
.nav-justified > li {
  float: none;
}
.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs-justified {
  border-bottom: 0;
}
.nav-tabs-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs-justified > .active > a,
  .nav-tabs-justified > .active > a:hover,
  .nav-tabs-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.tab-content > .tab-pane {
  display: none;
}
.tab-content > .active {
  display: block;
}
.nav-tabs .dropdown-menu {
  margin-top: -1px;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar {
  position: relative;
  min-height: 30px;
  margin-bottom: 18px;
  border: 1px solid transparent;
}
@media (min-width: 541px) {
  .navbar {
    border-radius: 2px;
  }
}
@media (min-width: 541px) {
  .navbar-header {
    float: left;
  }
}
.navbar-collapse {
  overflow-x: visible;
  padding-right: 0px;
  padding-left: 0px;
  border-top: 1px solid transparent;
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
  -webkit-overflow-scrolling: touch;
}
.navbar-collapse.in {
  overflow-y: auto;
}
@media (min-width: 541px) {
  .navbar-collapse {
    width: auto;
    border-top: 0;
    box-shadow: none;
  }
  .navbar-collapse.collapse {
    display: block !important;
    height: auto !important;
    padding-bottom: 0;
    overflow: visible !important;
  }
  .navbar-collapse.in {
    overflow-y: visible;
  }
  .navbar-fixed-top .navbar-collapse,
  .navbar-static-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    padding-left: 0;
    padding-right: 0;
  }
}
.navbar-fixed-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
  max-height: 340px;
}
@media (max-device-width: 540px) and (orientation: landscape) {
  .navbar-fixed-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    max-height: 200px;
  }
}
.container > .navbar-header,
.container-fluid > .navbar-header,
.container > .navbar-collapse,
.container-fluid > .navbar-collapse {
  margin-right: 0px;
  margin-left: 0px;
}
@media (min-width: 541px) {
  .container > .navbar-header,
  .container-fluid > .navbar-header,
  .container > .navbar-collapse,
  .container-fluid > .navbar-collapse {
    margin-right: 0;
    margin-left: 0;
  }
}
.navbar-static-top {
  z-index: 1000;
  border-width: 0 0 1px;
}
@media (min-width: 541px) {
  .navbar-static-top {
    border-radius: 0;
  }
}
.navbar-fixed-top,
.navbar-fixed-bottom {
  position: fixed;
  right: 0;
  left: 0;
  z-index: 1030;
}
@media (min-width: 541px) {
  .navbar-fixed-top,
  .navbar-fixed-bottom {
    border-radius: 0;
  }
}
.navbar-fixed-top {
  top: 0;
  border-width: 0 0 1px;
}
.navbar-fixed-bottom {
  bottom: 0;
  margin-bottom: 0;
  border-width: 1px 0 0;
}
.navbar-brand {
  float: left;
  padding: 6px 0px;
  font-size: 17px;
  line-height: 18px;
  height: 30px;
}
.navbar-brand:hover,
.navbar-brand:focus {
  text-decoration: none;
}
.navbar-brand > img {
  display: block;
}
@media (min-width: 541px) {
  .navbar > .container .navbar-brand,
  .navbar > .container-fluid .navbar-brand {
    margin-left: 0px;
  }
}
.navbar-toggle {
  position: relative;
  float: right;
  margin-right: 0px;
  padding: 9px 10px;
  margin-top: -2px;
  margin-bottom: -2px;
  background-color: transparent;
  background-image: none;
  border: 1px solid transparent;
  border-radius: 2px;
}
.navbar-toggle:focus {
  outline: 0;
}
.navbar-toggle .icon-bar {
  display: block;
  width: 22px;
  height: 2px;
  border-radius: 1px;
}
.navbar-toggle .icon-bar + .icon-bar {
  margin-top: 4px;
}
@media (min-width: 541px) {
  .navbar-toggle {
    display: none;
  }
}
.navbar-nav {
  margin: 3px 0px;
}
.navbar-nav > li > a {
  padding-top: 10px;
  padding-bottom: 10px;
  line-height: 18px;
}
@media (max-width: 540px) {
  .navbar-nav .open .dropdown-menu {
    position: static;
    float: none;
    width: auto;
    margin-top: 0;
    background-color: transparent;
    border: 0;
    box-shadow: none;
  }
  .navbar-nav .open .dropdown-menu > li > a,
  .navbar-nav .open .dropdown-menu .dropdown-header {
    padding: 5px 15px 5px 25px;
  }
  .navbar-nav .open .dropdown-menu > li > a {
    line-height: 18px;
  }
  .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-nav .open .dropdown-menu > li > a:focus {
    background-image: none;
  }
}
@media (min-width: 541px) {
  .navbar-nav {
    float: left;
    margin: 0;
  }
  .navbar-nav > li {
    float: left;
  }
  .navbar-nav > li > a {
    padding-top: 6px;
    padding-bottom: 6px;
  }
}
.navbar-form {
  margin-left: 0px;
  margin-right: 0px;
  padding: 10px 0px;
  border-top: 1px solid transparent;
  border-bottom: 1px solid transparent;
  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  margin-top: -1px;
  margin-bottom: -1px;
}
@media (min-width: 768px) {
  .navbar-form .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .navbar-form .form-control-static {
    display: inline-block;
  }
  .navbar-form .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .navbar-form .input-group .input-group-addon,
  .navbar-form .input-group .input-group-btn,
  .navbar-form .input-group .form-control {
    width: auto;
  }
  .navbar-form .input-group > .form-control {
    width: 100%;
  }
  .navbar-form .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio,
  .navbar-form .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio label,
  .navbar-form .checkbox label {
    padding-left: 0;
  }
  .navbar-form .radio input[type="radio"],
  .navbar-form .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .navbar-form .has-feedback .form-control-feedback {
    top: 0;
  }
}
@media (max-width: 540px) {
  .navbar-form .form-group {
    margin-bottom: 5px;
  }
  .navbar-form .form-group:last-child {
    margin-bottom: 0;
  }
}
@media (min-width: 541px) {
  .navbar-form {
    width: auto;
    border: 0;
    margin-left: 0;
    margin-right: 0;
    padding-top: 0;
    padding-bottom: 0;
    -webkit-box-shadow: none;
    box-shadow: none;
  }
}
.navbar-nav > li > .dropdown-menu {
  margin-top: 0;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
  margin-bottom: 0;
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.navbar-btn {
  margin-top: -1px;
  margin-bottom: -1px;
}
.navbar-btn.btn-sm {
  margin-top: 0px;
  margin-bottom: 0px;
}
.navbar-btn.btn-xs {
  margin-top: 4px;
  margin-bottom: 4px;
}
.navbar-text {
  margin-top: 6px;
  margin-bottom: 6px;
}
@media (min-width: 541px) {
  .navbar-text {
    float: left;
    margin-left: 0px;
    margin-right: 0px;
  }
}
@media (min-width: 541px) {
  .navbar-left {
    float: left !important;
    float: left;
  }
  .navbar-right {
    float: right !important;
    float: right;
    margin-right: 0px;
  }
  .navbar-right ~ .navbar-right {
    margin-right: 0;
  }
}
.navbar-default {
  background-color: #f8f8f8;
  border-color: #e7e7e7;
}
.navbar-default .navbar-brand {
  color: #777;
}
.navbar-default .navbar-brand:hover,
.navbar-default .navbar-brand:focus {
  color: #5e5e5e;
  background-color: transparent;
}
.navbar-default .navbar-text {
  color: #777;
}
.navbar-default .navbar-nav > li > a {
  color: #777;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
  color: #333;
  background-color: transparent;
}
.navbar-default .navbar-nav > .active > a,
.navbar-default .navbar-nav > .active > a:hover,
.navbar-default .navbar-nav > .active > a:focus {
  color: #555;
  background-color: #e7e7e7;
}
.navbar-default .navbar-nav > .disabled > a,
.navbar-default .navbar-nav > .disabled > a:hover,
.navbar-default .navbar-nav > .disabled > a:focus {
  color: #ccc;
  background-color: transparent;
}
.navbar-default .navbar-toggle {
  border-color: #ddd;
}
.navbar-default .navbar-toggle:hover,
.navbar-default .navbar-toggle:focus {
  background-color: #ddd;
}
.navbar-default .navbar-toggle .icon-bar {
  background-color: #888;
}
.navbar-default .navbar-collapse,
.navbar-default .navbar-form {
  border-color: #e7e7e7;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
  background-color: #e7e7e7;
  color: #555;
}
@media (max-width: 540px) {
  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
    color: #777;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #333;
    background-color: transparent;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #555;
    background-color: #e7e7e7;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #ccc;
    background-color: transparent;
  }
}
.navbar-default .navbar-link {
  color: #777;
}
.navbar-default .navbar-link:hover {
  color: #333;
}
.navbar-default .btn-link {
  color: #777;
}
.navbar-default .btn-link:hover,
.navbar-default .btn-link:focus {
  color: #333;
}
.navbar-default .btn-link[disabled]:hover,
fieldset[disabled] .navbar-default .btn-link:hover,
.navbar-default .btn-link[disabled]:focus,
fieldset[disabled] .navbar-default .btn-link:focus {
  color: #ccc;
}
.navbar-inverse {
  background-color: #222;
  border-color: #080808;
}
.navbar-inverse .navbar-brand {
  color: #9d9d9d;
}
.navbar-inverse .navbar-brand:hover,
.navbar-inverse .navbar-brand:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-text {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a:hover,
.navbar-inverse .navbar-nav > li > a:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-nav > .active > a,
.navbar-inverse .navbar-nav > .active > a:hover,
.navbar-inverse .navbar-nav > .active > a:focus {
  color: #fff;
  background-color: #080808;
}
.navbar-inverse .navbar-nav > .disabled > a,
.navbar-inverse .navbar-nav > .disabled > a:hover,
.navbar-inverse .navbar-nav > .disabled > a:focus {
  color: #444;
  background-color: transparent;
}
.navbar-inverse .navbar-toggle {
  border-color: #333;
}
.navbar-inverse .navbar-toggle:hover,
.navbar-inverse .navbar-toggle:focus {
  background-color: #333;
}
.navbar-inverse .navbar-toggle .icon-bar {
  background-color: #fff;
}
.navbar-inverse .navbar-collapse,
.navbar-inverse .navbar-form {
  border-color: #101010;
}
.navbar-inverse .navbar-nav > .open > a,
.navbar-inverse .navbar-nav > .open > a:hover,
.navbar-inverse .navbar-nav > .open > a:focus {
  background-color: #080808;
  color: #fff;
}
@media (max-width: 540px) {
  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
    border-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
    color: #9d9d9d;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #fff;
    background-color: transparent;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #fff;
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #444;
    background-color: transparent;
  }
}
.navbar-inverse .navbar-link {
  color: #9d9d9d;
}
.navbar-inverse .navbar-link:hover {
  color: #fff;
}
.navbar-inverse .btn-link {
  color: #9d9d9d;
}
.navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link:focus {
  color: #fff;
}
.navbar-inverse .btn-link[disabled]:hover,
fieldset[disabled] .navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link[disabled]:focus,
fieldset[disabled] .navbar-inverse .btn-link:focus {
  color: #444;
}
.breadcrumb {
  padding: 8px 15px;
  margin-bottom: 18px;
  list-style: none;
  background-color: #f5f5f5;
  border-radius: 2px;
}
.breadcrumb > li {
  display: inline-block;
}
.breadcrumb > li + li:before {
  content: "/\00a0";
  padding: 0 5px;
  color: #5e5e5e;
}
.breadcrumb > .active {
  color: #777777;
}
.pagination {
  display: inline-block;
  padding-left: 0;
  margin: 18px 0;
  border-radius: 2px;
}
.pagination > li {
  display: inline;
}
.pagination > li > a,
.pagination > li > span {
  position: relative;
  float: left;
  padding: 6px 12px;
  line-height: 1.42857143;
  text-decoration: none;
  color: #337ab7;
  background-color: #fff;
  border: 1px solid #ddd;
  margin-left: -1px;
}
.pagination > li:first-child > a,
.pagination > li:first-child > span {
  margin-left: 0;
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.pagination > li:last-child > a,
.pagination > li:last-child > span {
  border-bottom-right-radius: 2px;
  border-top-right-radius: 2px;
}
.pagination > li > a:hover,
.pagination > li > span:hover,
.pagination > li > a:focus,
.pagination > li > span:focus {
  z-index: 2;
  color: #23527c;
  background-color: #eeeeee;
  border-color: #ddd;
}
.pagination > .active > a,
.pagination > .active > span,
.pagination > .active > a:hover,
.pagination > .active > span:hover,
.pagination > .active > a:focus,
.pagination > .active > span:focus {
  z-index: 3;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
  cursor: default;
}
.pagination > .disabled > span,
.pagination > .disabled > span:hover,
.pagination > .disabled > span:focus,
.pagination > .disabled > a,
.pagination > .disabled > a:hover,
.pagination > .disabled > a:focus {
  color: #777777;
  background-color: #fff;
  border-color: #ddd;
  cursor: not-allowed;
}
.pagination-lg > li > a,
.pagination-lg > li > span {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.pagination-lg > li:first-child > a,
.pagination-lg > li:first-child > span {
  border-bottom-left-radius: 3px;
  border-top-left-radius: 3px;
}
.pagination-lg > li:last-child > a,
.pagination-lg > li:last-child > span {
  border-bottom-right-radius: 3px;
  border-top-right-radius: 3px;
}
.pagination-sm > li > a,
.pagination-sm > li > span {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.pagination-sm > li:first-child > a,
.pagination-sm > li:first-child > span {
  border-bottom-left-radius: 1px;
  border-top-left-radius: 1px;
}
.pagination-sm > li:last-child > a,
.pagination-sm > li:last-child > span {
  border-bottom-right-radius: 1px;
  border-top-right-radius: 1px;
}
.pager {
  padding-left: 0;
  margin: 18px 0;
  list-style: none;
  text-align: center;
}
.pager li {
  display: inline;
}
.pager li > a,
.pager li > span {
  display: inline-block;
  padding: 5px 14px;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 15px;
}
.pager li > a:hover,
.pager li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.pager .next > a,
.pager .next > span {
  float: right;
}
.pager .previous > a,
.pager .previous > span {
  float: left;
}
.pager .disabled > a,
.pager .disabled > a:hover,
.pager .disabled > a:focus,
.pager .disabled > span {
  color: #777777;
  background-color: #fff;
  cursor: not-allowed;
}
.label {
  display: inline;
  padding: .2em .6em .3em;
  font-size: 75%;
  font-weight: bold;
  line-height: 1;
  color: #fff;
  text-align: center;
  white-space: nowrap;
  vertical-align: baseline;
  border-radius: .25em;
}
a.label:hover,
a.label:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.label:empty {
  display: none;
}
.btn .label {
  position: relative;
  top: -1px;
}
.label-default {
  background-color: #777777;
}
.label-default[href]:hover,
.label-default[href]:focus {
  background-color: #5e5e5e;
}
.label-primary {
  background-color: #337ab7;
}
.label-primary[href]:hover,
.label-primary[href]:focus {
  background-color: #286090;
}
.label-success {
  background-color: #5cb85c;
}
.label-success[href]:hover,
.label-success[href]:focus {
  background-color: #449d44;
}
.label-info {
  background-color: #5bc0de;
}
.label-info[href]:hover,
.label-info[href]:focus {
  background-color: #31b0d5;
}
.label-warning {
  background-color: #f0ad4e;
}
.label-warning[href]:hover,
.label-warning[href]:focus {
  background-color: #ec971f;
}
.label-danger {
  background-color: #d9534f;
}
.label-danger[href]:hover,
.label-danger[href]:focus {
  background-color: #c9302c;
}
.badge {
  display: inline-block;
  min-width: 10px;
  padding: 3px 7px;
  font-size: 12px;
  font-weight: bold;
  color: #fff;
  line-height: 1;
  vertical-align: middle;
  white-space: nowrap;
  text-align: center;
  background-color: #777777;
  border-radius: 10px;
}
.badge:empty {
  display: none;
}
.btn .badge {
  position: relative;
  top: -1px;
}
.btn-xs .badge,
.btn-group-xs > .btn .badge {
  top: 0;
  padding: 1px 5px;
}
a.badge:hover,
a.badge:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.list-group-item.active > .badge,
.nav-pills > .active > a > .badge {
  color: #337ab7;
  background-color: #fff;
}
.list-group-item > .badge {
  float: right;
}
.list-group-item > .badge + .badge {
  margin-right: 5px;
}
.nav-pills > li > a > .badge {
  margin-left: 3px;
}
.jumbotron {
  padding-top: 30px;
  padding-bottom: 30px;
  margin-bottom: 30px;
  color: inherit;
  background-color: #eeeeee;
}
.jumbotron h1,
.jumbotron .h1 {
  color: inherit;
}
.jumbotron p {
  margin-bottom: 15px;
  font-size: 20px;
  font-weight: 200;
}
.jumbotron > hr {
  border-top-color: #d5d5d5;
}
.container .jumbotron,
.container-fluid .jumbotron {
  border-radius: 3px;
  padding-left: 0px;
  padding-right: 0px;
}
.jumbotron .container {
  max-width: 100%;
}
@media screen and (min-width: 768px) {
  .jumbotron {
    padding-top: 48px;
    padding-bottom: 48px;
  }
  .container .jumbotron,
  .container-fluid .jumbotron {
    padding-left: 60px;
    padding-right: 60px;
  }
  .jumbotron h1,
  .jumbotron .h1 {
    font-size: 59px;
  }
}
.thumbnail {
  display: block;
  padding: 4px;
  margin-bottom: 18px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: border 0.2s ease-in-out;
  -o-transition: border 0.2s ease-in-out;
  transition: border 0.2s ease-in-out;
}
.thumbnail > img,
.thumbnail a > img {
  margin-left: auto;
  margin-right: auto;
}
a.thumbnail:hover,
a.thumbnail:focus,
a.thumbnail.active {
  border-color: #337ab7;
}
.thumbnail .caption {
  padding: 9px;
  color: #000;
}
.alert {
  padding: 15px;
  margin-bottom: 18px;
  border: 1px solid transparent;
  border-radius: 2px;
}
.alert h4 {
  margin-top: 0;
  color: inherit;
}
.alert .alert-link {
  font-weight: bold;
}
.alert > p,
.alert > ul {
  margin-bottom: 0;
}
.alert > p + p {
  margin-top: 5px;
}
.alert-dismissable,
.alert-dismissible {
  padding-right: 35px;
}
.alert-dismissable .close,
.alert-dismissible .close {
  position: relative;
  top: -2px;
  right: -21px;
  color: inherit;
}
.alert-success {
  background-color: #dff0d8;
  border-color: #d6e9c6;
  color: #3c763d;
}
.alert-success hr {
  border-top-color: #c9e2b3;
}
.alert-success .alert-link {
  color: #2b542c;
}
.alert-info {
  background-color: #d9edf7;
  border-color: #bce8f1;
  color: #31708f;
}
.alert-info hr {
  border-top-color: #a6e1ec;
}
.alert-info .alert-link {
  color: #245269;
}
.alert-warning {
  background-color: #fcf8e3;
  border-color: #faebcc;
  color: #8a6d3b;
}
.alert-warning hr {
  border-top-color: #f7e1b5;
}
.alert-warning .alert-link {
  color: #66512c;
}
.alert-danger {
  background-color: #f2dede;
  border-color: #ebccd1;
  color: #a94442;
}
.alert-danger hr {
  border-top-color: #e4b9c0;
}
.alert-danger .alert-link {
  color: #843534;
}
@-webkit-keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
@keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
.progress {
  overflow: hidden;
  height: 18px;
  margin-bottom: 18px;
  background-color: #f5f5f5;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
}
.progress-bar {
  float: left;
  width: 0%;
  height: 100%;
  font-size: 12px;
  line-height: 18px;
  color: #fff;
  text-align: center;
  background-color: #337ab7;
  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  -webkit-transition: width 0.6s ease;
  -o-transition: width 0.6s ease;
  transition: width 0.6s ease;
}
.progress-striped .progress-bar,
.progress-bar-striped {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-size: 40px 40px;
}
.progress.active .progress-bar,
.progress-bar.active {
  -webkit-animation: progress-bar-stripes 2s linear infinite;
  -o-animation: progress-bar-stripes 2s linear infinite;
  animation: progress-bar-stripes 2s linear infinite;
}
.progress-bar-success {
  background-color: #5cb85c;
}
.progress-striped .progress-bar-success {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-info {
  background-color: #5bc0de;
}
.progress-striped .progress-bar-info {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-warning {
  background-color: #f0ad4e;
}
.progress-striped .progress-bar-warning {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-danger {
  background-color: #d9534f;
}
.progress-striped .progress-bar-danger {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.media {
  margin-top: 15px;
}
.media:first-child {
  margin-top: 0;
}
.media,
.media-body {
  zoom: 1;
  overflow: hidden;
}
.media-body {
  width: 10000px;
}
.media-object {
  display: block;
}
.media-object.img-thumbnail {
  max-width: none;
}
.media-right,
.media > .pull-right {
  padding-left: 10px;
}
.media-left,
.media > .pull-left {
  padding-right: 10px;
}
.media-left,
.media-right,
.media-body {
  display: table-cell;
  vertical-align: top;
}
.media-middle {
  vertical-align: middle;
}
.media-bottom {
  vertical-align: bottom;
}
.media-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.media-list {
  padding-left: 0;
  list-style: none;
}
.list-group {
  margin-bottom: 20px;
  padding-left: 0;
}
.list-group-item {
  position: relative;
  display: block;
  padding: 10px 15px;
  margin-bottom: -1px;
  background-color: #fff;
  border: 1px solid #ddd;
}
.list-group-item:first-child {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
}
.list-group-item:last-child {
  margin-bottom: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
a.list-group-item,
button.list-group-item {
  color: #555;
}
a.list-group-item .list-group-item-heading,
button.list-group-item .list-group-item-heading {
  color: #333;
}
a.list-group-item:hover,
button.list-group-item:hover,
a.list-group-item:focus,
button.list-group-item:focus {
  text-decoration: none;
  color: #555;
  background-color: #f5f5f5;
}
button.list-group-item {
  width: 100%;
  text-align: left;
}
.list-group-item.disabled,
.list-group-item.disabled:hover,
.list-group-item.disabled:focus {
  background-color: #eeeeee;
  color: #777777;
  cursor: not-allowed;
}
.list-group-item.disabled .list-group-item-heading,
.list-group-item.disabled:hover .list-group-item-heading,
.list-group-item.disabled:focus .list-group-item-heading {
  color: inherit;
}
.list-group-item.disabled .list-group-item-text,
.list-group-item.disabled:hover .list-group-item-text,
.list-group-item.disabled:focus .list-group-item-text {
  color: #777777;
}
.list-group-item.active,
.list-group-item.active:hover,
.list-group-item.active:focus {
  z-index: 2;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.list-group-item.active .list-group-item-heading,
.list-group-item.active:hover .list-group-item-heading,
.list-group-item.active:focus .list-group-item-heading,
.list-group-item.active .list-group-item-heading > small,
.list-group-item.active:hover .list-group-item-heading > small,
.list-group-item.active:focus .list-group-item-heading > small,
.list-group-item.active .list-group-item-heading > .small,
.list-group-item.active:hover .list-group-item-heading > .small,
.list-group-item.active:focus .list-group-item-heading > .small {
  color: inherit;
}
.list-group-item.active .list-group-item-text,
.list-group-item.active:hover .list-group-item-text,
.list-group-item.active:focus .list-group-item-text {
  color: #c7ddef;
}
.list-group-item-success {
  color: #3c763d;
  background-color: #dff0d8;
}
a.list-group-item-success,
button.list-group-item-success {
  color: #3c763d;
}
a.list-group-item-success .list-group-item-heading,
button.list-group-item-success .list-group-item-heading {
  color: inherit;
}
a.list-group-item-success:hover,
button.list-group-item-success:hover,
a.list-group-item-success:focus,
button.list-group-item-success:focus {
  color: #3c763d;
  background-color: #d0e9c6;
}
a.list-group-item-success.active,
button.list-group-item-success.active,
a.list-group-item-success.active:hover,
button.list-group-item-success.active:hover,
a.list-group-item-success.active:focus,
button.list-group-item-success.active:focus {
  color: #fff;
  background-color: #3c763d;
  border-color: #3c763d;
}
.list-group-item-info {
  color: #31708f;
  background-color: #d9edf7;
}
a.list-group-item-info,
button.list-group-item-info {
  color: #31708f;
}
a.list-group-item-info .list-group-item-heading,
button.list-group-item-info .list-group-item-heading {
  color: inherit;
}
a.list-group-item-info:hover,
button.list-group-item-info:hover,
a.list-group-item-info:focus,
button.list-group-item-info:focus {
  color: #31708f;
  background-color: #c4e3f3;
}
a.list-group-item-info.active,
button.list-group-item-info.active,
a.list-group-item-info.active:hover,
button.list-group-item-info.active:hover,
a.list-group-item-info.active:focus,
button.list-group-item-info.active:focus {
  color: #fff;
  background-color: #31708f;
  border-color: #31708f;
}
.list-group-item-warning {
  color: #8a6d3b;
  background-color: #fcf8e3;
}
a.list-group-item-warning,
button.list-group-item-warning {
  color: #8a6d3b;
}
a.list-group-item-warning .list-group-item-heading,
button.list-group-item-warning .list-group-item-heading {
  color: inherit;
}
a.list-group-item-warning:hover,
button.list-group-item-warning:hover,
a.list-group-item-warning:focus,
button.list-group-item-warning:focus {
  color: #8a6d3b;
  background-color: #faf2cc;
}
a.list-group-item-warning.active,
button.list-group-item-warning.active,
a.list-group-item-warning.active:hover,
button.list-group-item-warning.active:hover,
a.list-group-item-warning.active:focus,
button.list-group-item-warning.active:focus {
  color: #fff;
  background-color: #8a6d3b;
  border-color: #8a6d3b;
}
.list-group-item-danger {
  color: #a94442;
  background-color: #f2dede;
}
a.list-group-item-danger,
button.list-group-item-danger {
  color: #a94442;
}
a.list-group-item-danger .list-group-item-heading,
button.list-group-item-danger .list-group-item-heading {
  color: inherit;
}
a.list-group-item-danger:hover,
button.list-group-item-danger:hover,
a.list-group-item-danger:focus,
button.list-group-item-danger:focus {
  color: #a94442;
  background-color: #ebcccc;
}
a.list-group-item-danger.active,
button.list-group-item-danger.active,
a.list-group-item-danger.active:hover,
button.list-group-item-danger.active:hover,
a.list-group-item-danger.active:focus,
button.list-group-item-danger.active:focus {
  color: #fff;
  background-color: #a94442;
  border-color: #a94442;
}
.list-group-item-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.list-group-item-text {
  margin-bottom: 0;
  line-height: 1.3;
}
.panel {
  margin-bottom: 18px;
  background-color: #fff;
  border: 1px solid transparent;
  border-radius: 2px;
  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
}
.panel-body {
  padding: 15px;
}
.panel-heading {
  padding: 10px 15px;
  border-bottom: 1px solid transparent;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel-heading > .dropdown .dropdown-toggle {
  color: inherit;
}
.panel-title {
  margin-top: 0;
  margin-bottom: 0;
  font-size: 15px;
  color: inherit;
}
.panel-title > a,
.panel-title > small,
.panel-title > .small,
.panel-title > small > a,
.panel-title > .small > a {
  color: inherit;
}
.panel-footer {
  padding: 10px 15px;
  background-color: #f5f5f5;
  border-top: 1px solid #ddd;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .list-group,
.panel > .panel-collapse > .list-group {
  margin-bottom: 0;
}
.panel > .list-group .list-group-item,
.panel > .panel-collapse > .list-group .list-group-item {
  border-width: 1px 0;
  border-radius: 0;
}
.panel > .list-group:first-child .list-group-item:first-child,
.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
  border-top: 0;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .list-group:last-child .list-group-item:last-child,
.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
  border-bottom: 0;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.panel-heading + .list-group .list-group-item:first-child {
  border-top-width: 0;
}
.list-group + .panel-footer {
  border-top-width: 0;
}
.panel > .table,
.panel > .table-responsive > .table,
.panel > .panel-collapse > .table {
  margin-bottom: 0;
}
.panel > .table caption,
.panel > .table-responsive > .table caption,
.panel > .panel-collapse > .table caption {
  padding-left: 15px;
  padding-right: 15px;
}
.panel > .table:first-child,
.panel > .table-responsive:first-child > .table:first-child {
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
  border-top-left-radius: 1px;
  border-top-right-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
  border-top-right-radius: 1px;
}
.panel > .table:last-child,
.panel > .table-responsive:last-child > .table:last-child {
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
  border-bottom-left-radius: 1px;
  border-bottom-right-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
  border-bottom-right-radius: 1px;
}
.panel > .panel-body + .table,
.panel > .panel-body + .table-responsive,
.panel > .table + .panel-body,
.panel > .table-responsive + .panel-body {
  border-top: 1px solid #ddd;
}
.panel > .table > tbody:first-child > tr:first-child th,
.panel > .table > tbody:first-child > tr:first-child td {
  border-top: 0;
}
.panel > .table-bordered,
.panel > .table-responsive > .table-bordered {
  border: 0;
}
.panel > .table-bordered > thead > tr > th:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
.panel > .table-bordered > tbody > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
.panel > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-bordered > thead > tr > td:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
.panel > .table-bordered > tbody > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
.panel > .table-bordered > tfoot > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
  border-left: 0;
}
.panel > .table-bordered > thead > tr > th:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
.panel > .table-bordered > tbody > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
.panel > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-bordered > thead > tr > td:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
.panel > .table-bordered > tbody > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
.panel > .table-bordered > tfoot > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
  border-right: 0;
}
.panel > .table-bordered > thead > tr:first-child > td,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
.panel > .table-bordered > tbody > tr:first-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
.panel > .table-bordered > thead > tr:first-child > th,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
.panel > .table-bordered > tbody > tr:first-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
  border-bottom: 0;
}
.panel > .table-bordered > tbody > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
.panel > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-bordered > tbody > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
.panel > .table-bordered > tfoot > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
  border-bottom: 0;
}
.panel > .table-responsive {
  border: 0;
  margin-bottom: 0;
}
.panel-group {
  margin-bottom: 18px;
}
.panel-group .panel {
  margin-bottom: 0;
  border-radius: 2px;
}
.panel-group .panel + .panel {
  margin-top: 5px;
}
.panel-group .panel-heading {
  border-bottom: 0;
}
.panel-group .panel-heading + .panel-collapse > .panel-body,
.panel-group .panel-heading + .panel-collapse > .list-group {
  border-top: 1px solid #ddd;
}
.panel-group .panel-footer {
  border-top: 0;
}
.panel-group .panel-footer + .panel-collapse .panel-body {
  border-bottom: 1px solid #ddd;
}
.panel-default {
  border-color: #ddd;
}
.panel-default > .panel-heading {
  color: #333333;
  background-color: #f5f5f5;
  border-color: #ddd;
}
.panel-default > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ddd;
}
.panel-default > .panel-heading .badge {
  color: #f5f5f5;
  background-color: #333333;
}
.panel-default > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ddd;
}
.panel-primary {
  border-color: #337ab7;
}
.panel-primary > .panel-heading {
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #337ab7;
}
.panel-primary > .panel-heading .badge {
  color: #337ab7;
  background-color: #fff;
}
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #337ab7;
}
.panel-success {
  border-color: #d6e9c6;
}
.panel-success > .panel-heading {
  color: #3c763d;
  background-color: #dff0d8;
  border-color: #d6e9c6;
}
.panel-success > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #d6e9c6;
}
.panel-success > .panel-heading .badge {
  color: #dff0d8;
  background-color: #3c763d;
}
.panel-success > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #d6e9c6;
}
.panel-info {
  border-color: #bce8f1;
}
.panel-info > .panel-heading {
  color: #31708f;
  background-color: #d9edf7;
  border-color: #bce8f1;
}
.panel-info > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #bce8f1;
}
.panel-info > .panel-heading .badge {
  color: #d9edf7;
  background-color: #31708f;
}
.panel-info > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #bce8f1;
}
.panel-warning {
  border-color: #faebcc;
}
.panel-warning > .panel-heading {
  color: #8a6d3b;
  background-color: #fcf8e3;
  border-color: #faebcc;
}
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #faebcc;
}
.panel-warning > .panel-heading .badge {
  color: #fcf8e3;
  background-color: #8a6d3b;
}
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #faebcc;
}
.panel-danger {
  border-color: #ebccd1;
}
.panel-danger > .panel-heading {
  color: #a94442;
  background-color: #f2dede;
  border-color: #ebccd1;
}
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ebccd1;
}
.panel-danger > .panel-heading .badge {
  color: #f2dede;
  background-color: #a94442;
}
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ebccd1;
}
.embed-responsive {
  position: relative;
  display: block;
  height: 0;
  padding: 0;
  overflow: hidden;
}
.embed-responsive .embed-responsive-item,
.embed-responsive iframe,
.embed-responsive embed,
.embed-responsive object,
.embed-responsive video {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  height: 100%;
  width: 100%;
  border: 0;
}
.embed-responsive-16by9 {
  padding-bottom: 56.25%;
}
.embed-responsive-4by3 {
  padding-bottom: 75%;
}
.well {
  min-height: 20px;
  padding: 19px;
  margin-bottom: 20px;
  background-color: #f5f5f5;
  border: 1px solid #e3e3e3;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
}
.well blockquote {
  border-color: #ddd;
  border-color: rgba(0, 0, 0, 0.15);
}
.well-lg {
  padding: 24px;
  border-radius: 3px;
}
.well-sm {
  padding: 9px;
  border-radius: 1px;
}
.close {
  float: right;
  font-size: 19.5px;
  font-weight: bold;
  line-height: 1;
  color: #000;
  text-shadow: 0 1px 0 #fff;
  opacity: 0.2;
  filter: alpha(opacity=20);
}
.close:hover,
.close:focus {
  color: #000;
  text-decoration: none;
  cursor: pointer;
  opacity: 0.5;
  filter: alpha(opacity=50);
}
button.close {
  padding: 0;
  cursor: pointer;
  background: transparent;
  border: 0;
  -webkit-appearance: none;
}
.modal-open {
  overflow: hidden;
}
.modal {
  display: none;
  overflow: hidden;
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1050;
  -webkit-overflow-scrolling: touch;
  outline: 0;
}
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, -25%);
  -ms-transform: translate(0, -25%);
  -o-transform: translate(0, -25%);
  transform: translate(0, -25%);
  -webkit-transition: -webkit-transform 0.3s ease-out;
  -moz-transition: -moz-transform 0.3s ease-out;
  -o-transition: -o-transform 0.3s ease-out;
  transition: transform 0.3s ease-out;
}
.modal.in .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
.modal-open .modal {
  overflow-x: hidden;
  overflow-y: auto;
}
.modal-dialog {
  position: relative;
  width: auto;
  margin: 10px;
}
.modal-content {
  position: relative;
  background-color: #fff;
  border: 1px solid #999;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  background-clip: padding-box;
  outline: 0;
}
.modal-backdrop {
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1040;
  background-color: #000;
}
.modal-backdrop.fade {
  opacity: 0;
  filter: alpha(opacity=0);
}
.modal-backdrop.in {
  opacity: 0.5;
  filter: alpha(opacity=50);
}
.modal-header {
  padding: 15px;
  border-bottom: 1px solid #e5e5e5;
}
.modal-header .close {
  margin-top: -2px;
}
.modal-title {
  margin: 0;
  line-height: 1.42857143;
}
.modal-body {
  position: relative;
  padding: 15px;
}
.modal-footer {
  padding: 15px;
  text-align: right;
  border-top: 1px solid #e5e5e5;
}
.modal-footer .btn + .btn {
  margin-left: 5px;
  margin-bottom: 0;
}
.modal-footer .btn-group .btn + .btn {
  margin-left: -1px;
}
.modal-footer .btn-block + .btn-block {
  margin-left: 0;
}
.modal-scrollbar-measure {
  position: absolute;
  top: -9999px;
  width: 50px;
  height: 50px;
  overflow: scroll;
}
@media (min-width: 768px) {
  .modal-dialog {
    width: 600px;
    margin: 30px auto;
  }
  .modal-content {
    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
  }
  .modal-sm {
    width: 300px;
  }
}
@media (min-width: 992px) {
  .modal-lg {
    width: 900px;
  }
}
.tooltip {
  position: absolute;
  z-index: 1070;
  display: block;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 12px;
  opacity: 0;
  filter: alpha(opacity=0);
}
.tooltip.in {
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.tooltip.top {
  margin-top: -3px;
  padding: 5px 0;
}
.tooltip.right {
  margin-left: 3px;
  padding: 0 5px;
}
.tooltip.bottom {
  margin-top: 3px;
  padding: 5px 0;
}
.tooltip.left {
  margin-left: -3px;
  padding: 0 5px;
}
.tooltip-inner {
  max-width: 200px;
  padding: 3px 8px;
  color: #fff;
  text-align: center;
  background-color: #000;
  border-radius: 2px;
}
.tooltip-arrow {
  position: absolute;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.tooltip.top .tooltip-arrow {
  bottom: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-left .tooltip-arrow {
  bottom: 0;
  right: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-right .tooltip-arrow {
  bottom: 0;
  left: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.right .tooltip-arrow {
  top: 50%;
  left: 0;
  margin-top: -5px;
  border-width: 5px 5px 5px 0;
  border-right-color: #000;
}
.tooltip.left .tooltip-arrow {
  top: 50%;
  right: 0;
  margin-top: -5px;
  border-width: 5px 0 5px 5px;
  border-left-color: #000;
}
.tooltip.bottom .tooltip-arrow {
  top: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-left .tooltip-arrow {
  top: 0;
  right: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-right .tooltip-arrow {
  top: 0;
  left: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.popover {
  position: absolute;
  top: 0;
  left: 0;
  z-index: 1060;
  display: none;
  max-width: 276px;
  padding: 1px;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 13px;
  background-color: #fff;
  background-clip: padding-box;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
}
.popover.top {
  margin-top: -10px;
}
.popover.right {
  margin-left: 10px;
}
.popover.bottom {
  margin-top: 10px;
}
.popover.left {
  margin-left: -10px;
}
.popover-title {
  margin: 0;
  padding: 8px 14px;
  font-size: 13px;
  background-color: #f7f7f7;
  border-bottom: 1px solid #ebebeb;
  border-radius: 2px 2px 0 0;
}
.popover-content {
  padding: 9px 14px;
}
.popover > .arrow,
.popover > .arrow:after {
  position: absolute;
  display: block;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.popover > .arrow {
  border-width: 11px;
}
.popover > .arrow:after {
  border-width: 10px;
  content: "";
}
.popover.top > .arrow {
  left: 50%;
  margin-left: -11px;
  border-bottom-width: 0;
  border-top-color: #999999;
  border-top-color: rgba(0, 0, 0, 0.25);
  bottom: -11px;
}
.popover.top > .arrow:after {
  content: " ";
  bottom: 1px;
  margin-left: -10px;
  border-bottom-width: 0;
  border-top-color: #fff;
}
.popover.right > .arrow {
  top: 50%;
  left: -11px;
  margin-top: -11px;
  border-left-width: 0;
  border-right-color: #999999;
  border-right-color: rgba(0, 0, 0, 0.25);
}
.popover.right > .arrow:after {
  content: " ";
  left: 1px;
  bottom: -10px;
  border-left-width: 0;
  border-right-color: #fff;
}
.popover.bottom > .arrow {
  left: 50%;
  margin-left: -11px;
  border-top-width: 0;
  border-bottom-color: #999999;
  border-bottom-color: rgba(0, 0, 0, 0.25);
  top: -11px;
}
.popover.bottom > .arrow:after {
  content: " ";
  top: 1px;
  margin-left: -10px;
  border-top-width: 0;
  border-bottom-color: #fff;
}
.popover.left > .arrow {
  top: 50%;
  right: -11px;
  margin-top: -11px;
  border-right-width: 0;
  border-left-color: #999999;
  border-left-color: rgba(0, 0, 0, 0.25);
}
.popover.left > .arrow:after {
  content: " ";
  right: 1px;
  border-right-width: 0;
  border-left-color: #fff;
  bottom: -10px;
}
.carousel {
  position: relative;
}
.carousel-inner {
  position: relative;
  overflow: hidden;
  width: 100%;
}
.carousel-inner > .item {
  display: none;
  position: relative;
  -webkit-transition: 0.6s ease-in-out left;
  -o-transition: 0.6s ease-in-out left;
  transition: 0.6s ease-in-out left;
}
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  line-height: 1;
}
@media all and (transform-3d), (-webkit-transform-3d) {
  .carousel-inner > .item {
    -webkit-transition: -webkit-transform 0.6s ease-in-out;
    -moz-transition: -moz-transform 0.6s ease-in-out;
    -o-transition: -o-transform 0.6s ease-in-out;
    transition: transform 0.6s ease-in-out;
    -webkit-backface-visibility: hidden;
    -moz-backface-visibility: hidden;
    backface-visibility: hidden;
    -webkit-perspective: 1000px;
    -moz-perspective: 1000px;
    perspective: 1000px;
  }
  .carousel-inner > .item.next,
  .carousel-inner > .item.active.right {
    -webkit-transform: translate3d(100%, 0, 0);
    transform: translate3d(100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.prev,
  .carousel-inner > .item.active.left {
    -webkit-transform: translate3d(-100%, 0, 0);
    transform: translate3d(-100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.next.left,
  .carousel-inner > .item.prev.right,
  .carousel-inner > .item.active {
    -webkit-transform: translate3d(0, 0, 0);
    transform: translate3d(0, 0, 0);
    left: 0;
  }
}
.carousel-inner > .active,
.carousel-inner > .next,
.carousel-inner > .prev {
  display: block;
}
.carousel-inner > .active {
  left: 0;
}
.carousel-inner > .next,
.carousel-inner > .prev {
  position: absolute;
  top: 0;
  width: 100%;
}
.carousel-inner > .next {
  left: 100%;
}
.carousel-inner > .prev {
  left: -100%;
}
.carousel-inner > .next.left,
.carousel-inner > .prev.right {
  left: 0;
}
.carousel-inner > .active.left {
  left: -100%;
}
.carousel-inner > .active.right {
  left: 100%;
}
.carousel-control {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  width: 15%;
  opacity: 0.5;
  filter: alpha(opacity=50);
  font-size: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
  background-color: rgba(0, 0, 0, 0);
}
.carousel-control.left {
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
}
.carousel-control.right {
  left: auto;
  right: 0;
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
}
.carousel-control:hover,
.carousel-control:focus {
  outline: 0;
  color: #fff;
  text-decoration: none;
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.carousel-control .icon-prev,
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-left,
.carousel-control .glyphicon-chevron-right {
  position: absolute;
  top: 50%;
  margin-top: -10px;
  z-index: 5;
  display: inline-block;
}
.carousel-control .icon-prev,
.carousel-control .glyphicon-chevron-left {
  left: 50%;
  margin-left: -10px;
}
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-right {
  right: 50%;
  margin-right: -10px;
}
.carousel-control .icon-prev,
.carousel-control .icon-next {
  width: 20px;
  height: 20px;
  line-height: 1;
  font-family: serif;
}
.carousel-control .icon-prev:before {
  content: '\2039';
}
.carousel-control .icon-next:before {
  content: '\203a';
}
.carousel-indicators {
  position: absolute;
  bottom: 10px;
  left: 50%;
  z-index: 15;
  width: 60%;
  margin-left: -30%;
  padding-left: 0;
  list-style: none;
  text-align: center;
}
.carousel-indicators li {
  display: inline-block;
  width: 10px;
  height: 10px;
  margin: 1px;
  text-indent: -999px;
  border: 1px solid #fff;
  border-radius: 10px;
  cursor: pointer;
  background-color: #000 \9;
  background-color: rgba(0, 0, 0, 0);
}
.carousel-indicators .active {
  margin: 0;
  width: 12px;
  height: 12px;
  background-color: #fff;
}
.carousel-caption {
  position: absolute;
  left: 15%;
  right: 15%;
  bottom: 20px;
  z-index: 10;
  padding-top: 20px;
  padding-bottom: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
}
.carousel-caption .btn {
  text-shadow: none;
}
@media screen and (min-width: 768px) {
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-prev,
  .carousel-control .icon-next {
    width: 30px;
    height: 30px;
    margin-top: -10px;
    font-size: 30px;
  }
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .icon-prev {
    margin-left: -10px;
  }
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-next {
    margin-right: -10px;
  }
  .carousel-caption {
    left: 20%;
    right: 20%;
    padding-bottom: 30px;
  }
  .carousel-indicators {
    bottom: 20px;
  }
}
.clearfix:before,
.clearfix:after,
.dl-horizontal dd:before,
.dl-horizontal dd:after,
.container:before,
.container:after,
.container-fluid:before,
.container-fluid:after,
.row:before,
.row:after,
.form-horizontal .form-group:before,
.form-horizontal .form-group:after,
.btn-toolbar:before,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:before,
.btn-group-vertical > .btn-group:after,
.nav:before,
.nav:after,
.navbar:before,
.navbar:after,
.navbar-header:before,
.navbar-header:after,
.navbar-collapse:before,
.navbar-collapse:after,
.pager:before,
.pager:after,
.panel-body:before,
.panel-body:after,
.modal-header:before,
.modal-header:after,
.modal-footer:before,
.modal-footer:after,
.item_buttons:before,
.item_buttons:after {
  content: " ";
  display: table;
}
.clearfix:after,
.dl-horizontal dd:after,
.container:after,
.container-fluid:after,
.row:after,
.form-horizontal .form-group:after,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:after,
.nav:after,
.navbar:after,
.navbar-header:after,
.navbar-collapse:after,
.pager:after,
.panel-body:after,
.modal-header:after,
.modal-footer:after,
.item_buttons:after {
  clear: both;
}
.center-block {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.pull-right {
  float: right !important;
}
.pull-left {
  float: left !important;
}
.hide {
  display: none !important;
}
.show {
  display: block !important;
}
.invisible {
  visibility: hidden;
}
.text-hide {
  font: 0/0 a;
  color: transparent;
  text-shadow: none;
  background-color: transparent;
  border: 0;
}
.hidden {
  display: none !important;
}
.affix {
  position: fixed;
}
@-ms-viewport {
  width: device-width;
}
.visible-xs,
.visible-sm,
.visible-md,
.visible-lg {
  display: none !important;
}
.visible-xs-block,
.visible-xs-inline,
.visible-xs-inline-block,
.visible-sm-block,
.visible-sm-inline,
.visible-sm-inline-block,
.visible-md-block,
.visible-md-inline,
.visible-md-inline-block,
.visible-lg-block,
.visible-lg-inline,
.visible-lg-inline-block {
  display: none !important;
}
@media (max-width: 767px) {
  .visible-xs {
    display: block !important;
  }
  table.visible-xs {
    display: table !important;
  }
  tr.visible-xs {
    display: table-row !important;
  }
  th.visible-xs,
  td.visible-xs {
    display: table-cell !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-block {
    display: block !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline {
    display: inline !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm {
    display: block !important;
  }
  table.visible-sm {
    display: table !important;
  }
  tr.visible-sm {
    display: table-row !important;
  }
  th.visible-sm,
  td.visible-sm {
    display: table-cell !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-block {
    display: block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline {
    display: inline !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md {
    display: block !important;
  }
  table.visible-md {
    display: table !important;
  }
  tr.visible-md {
    display: table-row !important;
  }
  th.visible-md,
  td.visible-md {
    display: table-cell !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-block {
    display: block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline {
    display: inline !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg {
    display: block !important;
  }
  table.visible-lg {
    display: table !important;
  }
  tr.visible-lg {
    display: table-row !important;
  }
  th.visible-lg,
  td.visible-lg {
    display: table-cell !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-block {
    display: block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline {
    display: inline !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline-block {
    display: inline-block !important;
  }
}
@media (max-width: 767px) {
  .hidden-xs {
    display: none !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .hidden-sm {
    display: none !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .hidden-md {
    display: none !important;
  }
}
@media (min-width: 1200px) {
  .hidden-lg {
    display: none !important;
  }
}
.visible-print {
  display: none !important;
}
@media print {
  .visible-print {
    display: block !important;
  }
  table.visible-print {
    display: table !important;
  }
  tr.visible-print {
    display: table-row !important;
  }
  th.visible-print,
  td.visible-print {
    display: table-cell !important;
  }
}
.visible-print-block {
  display: none !important;
}
@media print {
  .visible-print-block {
    display: block !important;
  }
}
.visible-print-inline {
  display: none !important;
}
@media print {
  .visible-print-inline {
    display: inline !important;
  }
}
.visible-print-inline-block {
  display: none !important;
}
@media print {
  .visible-print-inline-block {
    display: inline-block !important;
  }
}
@media print {
  .hidden-print {
    display: none !important;
  }
}
/*!
*
* Font Awesome
*
*/
/*!
 *  Font Awesome 4.2.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */
/* FONT PATH
 * -------------------------- */
@font-face {
  font-family: 'FontAwesome';
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.2.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.2.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.2.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.2.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.2.0#fontawesomeregular') format('svg');
  font-weight: normal;
  font-style: normal;
}
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: 0.75em;
  vertical-align: -15%;
}
.fa-2x {
  font-size: 2em;
}
.fa-3x {
  font-size: 3em;
}
.fa-4x {
  font-size: 4em;
}
.fa-5x {
  font-size: 5em;
}
.fa-fw {
  width: 1.28571429em;
  text-align: center;
}
.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none;
}
.fa-ul > li {
  position: relative;
}
.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: 0.14285714em;
  text-align: center;
}
.fa-li.fa-lg {
  left: -1.85714286em;
}
.fa-border {
  padding: .2em .25em .15em;
  border: solid 0.08em #eee;
  border-radius: .1em;
}
.pull-right {
  float: right;
}
.pull-left {
  float: left;
}
.fa.pull-left {
  margin-right: .3em;
}
.fa.pull-right {
  margin-left: .3em;
}
.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear;
}
@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
.fa-rotate-90 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=1);
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2);
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=3);
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1);
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1);
}
.fa-flip-vertical {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1);
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1);
}
:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none;
}
.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.fa-stack-1x {
  line-height: inherit;
}
.fa-stack-2x {
  font-size: 2em;
}
.fa-inverse {
  color: #fff;
}
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass:before {
  content: "\f000";
}
.fa-music:before {
  content: "\f001";
}
.fa-search:before {
  content: "\f002";
}
.fa-envelope-o:before {
  content: "\f003";
}
.fa-heart:before {
  content: "\f004";
}
.fa-star:before {
  content: "\f005";
}
.fa-star-o:before {
  content: "\f006";
}
.fa-user:before {
  content: "\f007";
}
.fa-film:before {
  content: "\f008";
}
.fa-th-large:before {
  content: "\f009";
}
.fa-th:before {
  content: "\f00a";
}
.fa-th-list:before {
  content: "\f00b";
}
.fa-check:before {
  content: "\f00c";
}
.fa-remove:before,
.fa-close:before,
.fa-times:before {
  content: "\f00d";
}
.fa-search-plus:before {
  content: "\f00e";
}
.fa-search-minus:before {
  content: "\f010";
}
.fa-power-off:before {
  content: "\f011";
}
.fa-signal:before {
  content: "\f012";
}
.fa-gear:before,
.fa-cog:before {
  content: "\f013";
}
.fa-trash-o:before {
  content: "\f014";
}
.fa-home:before {
  content: "\f015";
}
.fa-file-o:before {
  content: "\f016";
}
.fa-clock-o:before {
  content: "\f017";
}
.fa-road:before {
  content: "\f018";
}
.fa-download:before {
  content: "\f019";
}
.fa-arrow-circle-o-down:before {
  content: "\f01a";
}
.fa-arrow-circle-o-up:before {
  content: "\f01b";
}
.fa-inbox:before {
  content: "\f01c";
}
.fa-play-circle-o:before {
  content: "\f01d";
}
.fa-rotate-right:before,
.fa-repeat:before {
  content: "\f01e";
}
.fa-refresh:before {
  content: "\f021";
}
.fa-list-alt:before {
  content: "\f022";
}
.fa-lock:before {
  content: "\f023";
}
.fa-flag:before {
  content: "\f024";
}
.fa-headphones:before {
  content: "\f025";
}
.fa-volume-off:before {
  content: "\f026";
}
.fa-volume-down:before {
  content: "\f027";
}
.fa-volume-up:before {
  content: "\f028";
}
.fa-qrcode:before {
  content: "\f029";
}
.fa-barcode:before {
  content: "\f02a";
}
.fa-tag:before {
  content: "\f02b";
}
.fa-tags:before {
  content: "\f02c";
}
.fa-book:before {
  content: "\f02d";
}
.fa-bookmark:before {
  content: "\f02e";
}
.fa-print:before {
  content: "\f02f";
}
.fa-camera:before {
  content: "\f030";
}
.fa-font:before {
  content: "\f031";
}
.fa-bold:before {
  content: "\f032";
}
.fa-italic:before {
  content: "\f033";
}
.fa-text-height:before {
  content: "\f034";
}
.fa-text-width:before {
  content: "\f035";
}
.fa-align-left:before {
  content: "\f036";
}
.fa-align-center:before {
  content: "\f037";
}
.fa-align-right:before {
  content: "\f038";
}
.fa-align-justify:before {
  content: "\f039";
}
.fa-list:before {
  content: "\f03a";
}
.fa-dedent:before,
.fa-outdent:before {
  content: "\f03b";
}
.fa-indent:before {
  content: "\f03c";
}
.fa-video-camera:before {
  content: "\f03d";
}
.fa-photo:before,
.fa-image:before,
.fa-picture-o:before {
  content: "\f03e";
}
.fa-pencil:before {
  content: "\f040";
}
.fa-map-marker:before {
  content: "\f041";
}
.fa-adjust:before {
  content: "\f042";
}
.fa-tint:before {
  content: "\f043";
}
.fa-edit:before,
.fa-pencil-square-o:before {
  content: "\f044";
}
.fa-share-square-o:before {
  content: "\f045";
}
.fa-check-square-o:before {
  content: "\f046";
}
.fa-arrows:before {
  content: "\f047";
}
.fa-step-backward:before {
  content: "\f048";
}
.fa-fast-backward:before {
  content: "\f049";
}
.fa-backward:before {
  content: "\f04a";
}
.fa-play:before {
  content: "\f04b";
}
.fa-pause:before {
  content: "\f04c";
}
.fa-stop:before {
  content: "\f04d";
}
.fa-forward:before {
  content: "\f04e";
}
.fa-fast-forward:before {
  content: "\f050";
}
.fa-step-forward:before {
  content: "\f051";
}
.fa-eject:before {
  content: "\f052";
}
.fa-chevron-left:before {
  content: "\f053";
}
.fa-chevron-right:before {
  content: "\f054";
}
.fa-plus-circle:before {
  content: "\f055";
}
.fa-minus-circle:before {
  content: "\f056";
}
.fa-times-circle:before {
  content: "\f057";
}
.fa-check-circle:before {
  content: "\f058";
}
.fa-question-circle:before {
  content: "\f059";
}
.fa-info-circle:before {
  content: "\f05a";
}
.fa-crosshairs:before {
  content: "\f05b";
}
.fa-times-circle-o:before {
  content: "\f05c";
}
.fa-check-circle-o:before {
  content: "\f05d";
}
.fa-ban:before {
  content: "\f05e";
}
.fa-arrow-left:before {
  content: "\f060";
}
.fa-arrow-right:before {
  content: "\f061";
}
.fa-arrow-up:before {
  content: "\f062";
}
.fa-arrow-down:before {
  content: "\f063";
}
.fa-mail-forward:before,
.fa-share:before {
  content: "\f064";
}
.fa-expand:before {
  content: "\f065";
}
.fa-compress:before {
  content: "\f066";
}
.fa-plus:before {
  content: "\f067";
}
.fa-minus:before {
  content: "\f068";
}
.fa-asterisk:before {
  content: "\f069";
}
.fa-exclamation-circle:before {
  content: "\f06a";
}
.fa-gift:before {
  content: "\f06b";
}
.fa-leaf:before {
  content: "\f06c";
}
.fa-fire:before {
  content: "\f06d";
}
.fa-eye:before {
  content: "\f06e";
}
.fa-eye-slash:before {
  content: "\f070";
}
.fa-warning:before,
.fa-exclamation-triangle:before {
  content: "\f071";
}
.fa-plane:before {
  content: "\f072";
}
.fa-calendar:before {
  content: "\f073";
}
.fa-random:before {
  content: "\f074";
}
.fa-comment:before {
  content: "\f075";
}
.fa-magnet:before {
  content: "\f076";
}
.fa-chevron-up:before {
  content: "\f077";
}
.fa-chevron-down:before {
  content: "\f078";
}
.fa-retweet:before {
  content: "\f079";
}
.fa-shopping-cart:before {
  content: "\f07a";
}
.fa-folder:before {
  content: "\f07b";
}
.fa-folder-open:before {
  content: "\f07c";
}
.fa-arrows-v:before {
  content: "\f07d";
}
.fa-arrows-h:before {
  content: "\f07e";
}
.fa-bar-chart-o:before,
.fa-bar-chart:before {
  content: "\f080";
}
.fa-twitter-square:before {
  content: "\f081";
}
.fa-facebook-square:before {
  content: "\f082";
}
.fa-camera-retro:before {
  content: "\f083";
}
.fa-key:before {
  content: "\f084";
}
.fa-gears:before,
.fa-cogs:before {
  content: "\f085";
}
.fa-comments:before {
  content: "\f086";
}
.fa-thumbs-o-up:before {
  content: "\f087";
}
.fa-thumbs-o-down:before {
  content: "\f088";
}
.fa-star-half:before {
  content: "\f089";
}
.fa-heart-o:before {
  content: "\f08a";
}
.fa-sign-out:before {
  content: "\f08b";
}
.fa-linkedin-square:before {
  content: "\f08c";
}
.fa-thumb-tack:before {
  content: "\f08d";
}
.fa-external-link:before {
  content: "\f08e";
}
.fa-sign-in:before {
  content: "\f090";
}
.fa-trophy:before {
  content: "\f091";
}
.fa-github-square:before {
  content: "\f092";
}
.fa-upload:before {
  content: "\f093";
}
.fa-lemon-o:before {
  content: "\f094";
}
.fa-phone:before {
  content: "\f095";
}
.fa-square-o:before {
  content: "\f096";
}
.fa-bookmark-o:before {
  content: "\f097";
}
.fa-phone-square:before {
  content: "\f098";
}
.fa-twitter:before {
  content: "\f099";
}
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-rss:before {
  content: "\f09e";
}
.fa-hdd-o:before {
  content: "\f0a0";
}
.fa-bullhorn:before {
  content: "\f0a1";
}
.fa-bell:before {
  content: "\f0f3";
}
.fa-certificate:before {
  content: "\f0a3";
}
.fa-hand-o-right:before {
  content: "\f0a4";
}
.fa-hand-o-left:before {
  content: "\f0a5";
}
.fa-hand-o-up:before {
  content: "\f0a6";
}
.fa-hand-o-down:before {
  content: "\f0a7";
}
.fa-arrow-circle-left:before {
  content: "\f0a8";
}
.fa-arrow-circle-right:before {
  content: "\f0a9";
}
.fa-arrow-circle-up:before {
  content: "\f0aa";
}
.fa-arrow-circle-down:before {
  content: "\f0ab";
}
.fa-globe:before {
  content: "\f0ac";
}
.fa-wrench:before {
  content: "\f0ad";
}
.fa-tasks:before {
  content: "\f0ae";
}
.fa-filter:before {
  content: "\f0b0";
}
.fa-briefcase:before {
  content: "\f0b1";
}
.fa-arrows-alt:before {
  content: "\f0b2";
}
.fa-group:before,
.fa-users:before {
  content: "\f0c0";
}
.fa-chain:before,
.fa-link:before {
  content: "\f0c1";
}
.fa-cloud:before {
  content: "\f0c2";
}
.fa-flask:before {
  content: "\f0c3";
}
.fa-cut:before,
.fa-scissors:before {
  content: "\f0c4";
}
.fa-copy:before,
.fa-files-o:before {
  content: "\f0c5";
}
.fa-paperclip:before {
  content: "\f0c6";
}
.fa-save:before,
.fa-floppy-o:before {
  content: "\f0c7";
}
.fa-square:before {
  content: "\f0c8";
}
.fa-navicon:before,
.fa-reorder:before,
.fa-bars:before {
  content: "\f0c9";
}
.fa-list-ul:before {
  content: "\f0ca";
}
.fa-list-ol:before {
  content: "\f0cb";
}
.fa-strikethrough:before {
  content: "\f0cc";
}
.fa-underline:before {
  content: "\f0cd";
}
.fa-table:before {
  content: "\f0ce";
}
.fa-magic:before {
  content: "\f0d0";
}
.fa-truck:before {
  content: "\f0d1";
}
.fa-pinterest:before {
  content: "\f0d2";
}
.fa-pinterest-square:before {
  content: "\f0d3";
}
.fa-google-plus-square:before {
  content: "\f0d4";
}
.fa-google-plus:before {
  content: "\f0d5";
}
.fa-money:before {
  content: "\f0d6";
}
.fa-caret-down:before {
  content: "\f0d7";
}
.fa-caret-up:before {
  content: "\f0d8";
}
.fa-caret-left:before {
  content: "\f0d9";
}
.fa-caret-right:before {
  content: "\f0da";
}
.fa-columns:before {
  content: "\f0db";
}
.fa-unsorted:before,
.fa-sort:before {
  content: "\f0dc";
}
.fa-sort-down:before,
.fa-sort-desc:before {
  content: "\f0dd";
}
.fa-sort-up:before,
.fa-sort-asc:before {
  content: "\f0de";
}
.fa-envelope:before {
  content: "\f0e0";
}
.fa-linkedin:before {
  content: "\f0e1";
}
.fa-rotate-left:before,
.fa-undo:before {
  content: "\f0e2";
}
.fa-legal:before,
.fa-gavel:before {
  content: "\f0e3";
}
.fa-dashboard:before,
.fa-tachometer:before {
  content: "\f0e4";
}
.fa-comment-o:before {
  content: "\f0e5";
}
.fa-comments-o:before {
  content: "\f0e6";
}
.fa-flash:before,
.fa-bolt:before {
  content: "\f0e7";
}
.fa-sitemap:before {
  content: "\f0e8";
}
.fa-umbrella:before {
  content: "\f0e9";
}
.fa-paste:before,
.fa-clipboard:before {
  content: "\f0ea";
}
.fa-lightbulb-o:before {
  content: "\f0eb";
}
.fa-exchange:before {
  content: "\f0ec";
}
.fa-cloud-download:before {
  content: "\f0ed";
}
.fa-cloud-upload:before {
  content: "\f0ee";
}
.fa-user-md:before {
  content: "\f0f0";
}
.fa-stethoscope:before {
  content: "\f0f1";
}
.fa-suitcase:before {
  content: "\f0f2";
}
.fa-bell-o:before {
  content: "\f0a2";
}
.fa-coffee:before {
  content: "\f0f4";
}
.fa-cutlery:before {
  content: "\f0f5";
}
.fa-file-text-o:before {
  content: "\f0f6";
}
.fa-building-o:before {
  content: "\f0f7";
}
.fa-hospital-o:before {
  content: "\f0f8";
}
.fa-ambulance:before {
  content: "\f0f9";
}
.fa-medkit:before {
  content: "\f0fa";
}
.fa-fighter-jet:before {
  content: "\f0fb";
}
.fa-beer:before {
  content: "\f0fc";
}
.fa-h-square:before {
  content: "\f0fd";
}
.fa-plus-square:before {
  content: "\f0fe";
}
.fa-angle-double-left:before {
  content: "\f100";
}
.fa-angle-double-right:before {
  content: "\f101";
}
.fa-angle-double-up:before {
  content: "\f102";
}
.fa-angle-double-down:before {
  content: "\f103";
}
.fa-angle-left:before {
  content: "\f104";
}
.fa-angle-right:before {
  content: "\f105";
}
.fa-angle-up:before {
  content: "\f106";
}
.fa-angle-down:before {
  content: "\f107";
}
.fa-desktop:before {
  content: "\f108";
}
.fa-laptop:before {
  content: "\f109";
}
.fa-tablet:before {
  content: "\f10a";
}
.fa-mobile-phone:before,
.fa-mobile:before {
  content: "\f10b";
}
.fa-circle-o:before {
  content: "\f10c";
}
.fa-quote-left:before {
  content: "\f10d";
}
.fa-quote-right:before {
  content: "\f10e";
}
.fa-spinner:before {
  content: "\f110";
}
.fa-circle:before {
  content: "\f111";
}
.fa-mail-reply:before,
.fa-reply:before {
  content: "\f112";
}
.fa-github-alt:before {
  content: "\f113";
}
.fa-folder-o:before {
  content: "\f114";
}
.fa-folder-open-o:before {
  content: "\f115";
}
.fa-smile-o:before {
  content: "\f118";
}
.fa-frown-o:before {
  content: "\f119";
}
.fa-meh-o:before {
  content: "\f11a";
}
.fa-gamepad:before {
  content: "\f11b";
}
.fa-keyboard-o:before {
  content: "\f11c";
}
.fa-flag-o:before {
  content: "\f11d";
}
.fa-flag-checkered:before {
  content: "\f11e";
}
.fa-terminal:before {
  content: "\f120";
}
.fa-code:before {
  content: "\f121";
}
.fa-mail-reply-all:before,
.fa-reply-all:before {
  content: "\f122";
}
.fa-star-half-empty:before,
.fa-star-half-full:before,
.fa-star-half-o:before {
  content: "\f123";
}
.fa-location-arrow:before {
  content: "\f124";
}
.fa-crop:before {
  content: "\f125";
}
.fa-code-fork:before {
  content: "\f126";
}
.fa-unlink:before,
.fa-chain-broken:before {
  content: "\f127";
}
.fa-question:before {
  content: "\f128";
}
.fa-info:before {
  content: "\f129";
}
.fa-exclamation:before {
  content: "\f12a";
}
.fa-superscript:before {
  content: "\f12b";
}
.fa-subscript:before {
  content: "\f12c";
}
.fa-eraser:before {
  content: "\f12d";
}
.fa-puzzle-piece:before {
  content: "\f12e";
}
.fa-microphone:before {
  content: "\f130";
}
.fa-microphone-slash:before {
  content: "\f131";
}
.fa-shield:before {
  content: "\f132";
}
.fa-calendar-o:before {
  content: "\f133";
}
.fa-fire-extinguisher:before {
  content: "\f134";
}
.fa-rocket:before {
  content: "\f135";
}
.fa-maxcdn:before {
  content: "\f136";
}
.fa-chevron-circle-left:before {
  content: "\f137";
}
.fa-chevron-circle-right:before {
  content: "\f138";
}
.fa-chevron-circle-up:before {
  content: "\f139";
}
.fa-chevron-circle-down:before {
  content: "\f13a";
}
.fa-html5:before {
  content: "\f13b";
}
.fa-css3:before {
  content: "\f13c";
}
.fa-anchor:before {
  content: "\f13d";
}
.fa-unlock-alt:before {
  content: "\f13e";
}
.fa-bullseye:before {
  content: "\f140";
}
.fa-ellipsis-h:before {
  content: "\f141";
}
.fa-ellipsis-v:before {
  content: "\f142";
}
.fa-rss-square:before {
  content: "\f143";
}
.fa-play-circle:before {
  content: "\f144";
}
.fa-ticket:before {
  content: "\f145";
}
.fa-minus-square:before {
  content: "\f146";
}
.fa-minus-square-o:before {
  content: "\f147";
}
.fa-level-up:before {
  content: "\f148";
}
.fa-level-down:before {
  content: "\f149";
}
.fa-check-square:before {
  content: "\f14a";
}
.fa-pencil-square:before {
  content: "\f14b";
}
.fa-external-link-square:before {
  content: "\f14c";
}
.fa-share-square:before {
  content: "\f14d";
}
.fa-compass:before {
  content: "\f14e";
}
.fa-toggle-down:before,
.fa-caret-square-o-down:before {
  content: "\f150";
}
.fa-toggle-up:before,
.fa-caret-square-o-up:before {
  content: "\f151";
}
.fa-toggle-right:before,
.fa-caret-square-o-right:before {
  content: "\f152";
}
.fa-euro:before,
.fa-eur:before {
  content: "\f153";
}
.fa-gbp:before {
  content: "\f154";
}
.fa-dollar:before,
.fa-usd:before {
  content: "\f155";
}
.fa-rupee:before,
.fa-inr:before {
  content: "\f156";
}
.fa-cny:before,
.fa-rmb:before,
.fa-yen:before,
.fa-jpy:before {
  content: "\f157";
}
.fa-ruble:before,
.fa-rouble:before,
.fa-rub:before {
  content: "\f158";
}
.fa-won:before,
.fa-krw:before {
  content: "\f159";
}
.fa-bitcoin:before,
.fa-btc:before {
  content: "\f15a";
}
.fa-file:before {
  content: "\f15b";
}
.fa-file-text:before {
  content: "\f15c";
}
.fa-sort-alpha-asc:before {
  content: "\f15d";
}
.fa-sort-alpha-desc:before {
  content: "\f15e";
}
.fa-sort-amount-asc:before {
  content: "\f160";
}
.fa-sort-amount-desc:before {
  content: "\f161";
}
.fa-sort-numeric-asc:before {
  content: "\f162";
}
.fa-sort-numeric-desc:before {
  content: "\f163";
}
.fa-thumbs-up:before {
  content: "\f164";
}
.fa-thumbs-down:before {
  content: "\f165";
}
.fa-youtube-square:before {
  content: "\f166";
}
.fa-youtube:before {
  content: "\f167";
}
.fa-xing:before {
  content: "\f168";
}
.fa-xing-square:before {
  content: "\f169";
}
.fa-youtube-play:before {
  content: "\f16a";
}
.fa-dropbox:before {
  content: "\f16b";
}
.fa-stack-overflow:before {
  content: "\f16c";
}
.fa-instagram:before {
  content: "\f16d";
}
.fa-flickr:before {
  content: "\f16e";
}
.fa-adn:before {
  content: "\f170";
}
.fa-bitbucket:before {
  content: "\f171";
}
.fa-bitbucket-square:before {
  content: "\f172";
}
.fa-tumblr:before {
  content: "\f173";
}
.fa-tumblr-square:before {
  content: "\f174";
}
.fa-long-arrow-down:before {
  content: "\f175";
}
.fa-long-arrow-up:before {
  content: "\f176";
}
.fa-long-arrow-left:before {
  content: "\f177";
}
.fa-long-arrow-right:before {
  content: "\f178";
}
.fa-apple:before {
  content: "\f179";
}
.fa-windows:before {
  content: "\f17a";
}
.fa-android:before {
  content: "\f17b";
}
.fa-linux:before {
  content: "\f17c";
}
.fa-dribbble:before {
  content: "\f17d";
}
.fa-skype:before {
  content: "\f17e";
}
.fa-foursquare:before {
  content: "\f180";
}
.fa-trello:before {
  content: "\f181";
}
.fa-female:before {
  content: "\f182";
}
.fa-male:before {
  content: "\f183";
}
.fa-gittip:before {
  content: "\f184";
}
.fa-sun-o:before {
  content: "\f185";
}
.fa-moon-o:before {
  content: "\f186";
}
.fa-archive:before {
  content: "\f187";
}
.fa-bug:before {
  content: "\f188";
}
.fa-vk:before {
  content: "\f189";
}
.fa-weibo:before {
  content: "\f18a";
}
.fa-renren:before {
  content: "\f18b";
}
.fa-pagelines:before {
  content: "\f18c";
}
.fa-stack-exchange:before {
  content: "\f18d";
}
.fa-arrow-circle-o-right:before {
  content: "\f18e";
}
.fa-arrow-circle-o-left:before {
  content: "\f190";
}
.fa-toggle-left:before,
.fa-caret-square-o-left:before {
  content: "\f191";
}
.fa-dot-circle-o:before {
  content: "\f192";
}
.fa-wheelchair:before {
  content: "\f193";
}
.fa-vimeo-square:before {
  content: "\f194";
}
.fa-turkish-lira:before,
.fa-try:before {
  content: "\f195";
}
.fa-plus-square-o:before {
  content: "\f196";
}
.fa-space-shuttle:before {
  content: "\f197";
}
.fa-slack:before {
  content: "\f198";
}
.fa-envelope-square:before {
  content: "\f199";
}
.fa-wordpress:before {
  content: "\f19a";
}
.fa-openid:before {
  content: "\f19b";
}
.fa-institution:before,
.fa-bank:before,
.fa-university:before {
  content: "\f19c";
}
.fa-mortar-board:before,
.fa-graduation-cap:before {
  content: "\f19d";
}
.fa-yahoo:before {
  content: "\f19e";
}
.fa-google:before {
  content: "\f1a0";
}
.fa-reddit:before {
  content: "\f1a1";
}
.fa-reddit-square:before {
  content: "\f1a2";
}
.fa-stumbleupon-circle:before {
  content: "\f1a3";
}
.fa-stumbleupon:before {
  content: "\f1a4";
}
.fa-delicious:before {
  content: "\f1a5";
}
.fa-digg:before {
  content: "\f1a6";
}
.fa-pied-piper:before {
  content: "\f1a7";
}
.fa-pied-piper-alt:before {
  content: "\f1a8";
}
.fa-drupal:before {
  content: "\f1a9";
}
.fa-joomla:before {
  content: "\f1aa";
}
.fa-language:before {
  content: "\f1ab";
}
.fa-fax:before {
  content: "\f1ac";
}
.fa-building:before {
  content: "\f1ad";
}
.fa-child:before {
  content: "\f1ae";
}
.fa-paw:before {
  content: "\f1b0";
}
.fa-spoon:before {
  content: "\f1b1";
}
.fa-cube:before {
  content: "\f1b2";
}
.fa-cubes:before {
  content: "\f1b3";
}
.fa-behance:before {
  content: "\f1b4";
}
.fa-behance-square:before {
  content: "\f1b5";
}
.fa-steam:before {
  content: "\f1b6";
}
.fa-steam-square:before {
  content: "\f1b7";
}
.fa-recycle:before {
  content: "\f1b8";
}
.fa-automobile:before,
.fa-car:before {
  content: "\f1b9";
}
.fa-cab:before,
.fa-taxi:before {
  content: "\f1ba";
}
.fa-tree:before {
  content: "\f1bb";
}
.fa-spotify:before {
  content: "\f1bc";
}
.fa-deviantart:before {
  content: "\f1bd";
}
.fa-soundcloud:before {
  content: "\f1be";
}
.fa-database:before {
  content: "\f1c0";
}
.fa-file-pdf-o:before {
  content: "\f1c1";
}
.fa-file-word-o:before {
  content: "\f1c2";
}
.fa-file-excel-o:before {
  content: "\f1c3";
}
.fa-file-powerpoint-o:before {
  content: "\f1c4";
}
.fa-file-photo-o:before,
.fa-file-picture-o:before,
.fa-file-image-o:before {
  content: "\f1c5";
}
.fa-file-zip-o:before,
.fa-file-archive-o:before {
  content: "\f1c6";
}
.fa-file-sound-o:before,
.fa-file-audio-o:before {
  content: "\f1c7";
}
.fa-file-movie-o:before,
.fa-file-video-o:before {
  content: "\f1c8";
}
.fa-file-code-o:before {
  content: "\f1c9";
}
.fa-vine:before {
  content: "\f1ca";
}
.fa-codepen:before {
  content: "\f1cb";
}
.fa-jsfiddle:before {
  content: "\f1cc";
}
.fa-life-bouy:before,
.fa-life-buoy:before,
.fa-life-saver:before,
.fa-support:before,
.fa-life-ring:before {
  content: "\f1cd";
}
.fa-circle-o-notch:before {
  content: "\f1ce";
}
.fa-ra:before,
.fa-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.fa-hacker-news:before {
  content: "\f1d4";
}
.fa-tencent-weibo:before {
  content: "\f1d5";
}
.fa-qq:before {
  content: "\f1d6";
}
.fa-wechat:before,
.fa-weixin:before {
  content: "\f1d7";
}
.fa-send:before,
.fa-paper-plane:before {
  content: "\f1d8";
}
.fa-send-o:before,
.fa-paper-plane-o:before {
  content: "\f1d9";
}
.fa-history:before {
  content: "\f1da";
}
.fa-circle-thin:before {
  content: "\f1db";
}
.fa-header:before {
  content: "\f1dc";
}
.fa-paragraph:before {
  content: "\f1dd";
}
.fa-sliders:before {
  content: "\f1de";
}
.fa-share-alt:before {
  content: "\f1e0";
}
.fa-share-alt-square:before {
  content: "\f1e1";
}
.fa-bomb:before {
  content: "\f1e2";
}
.fa-soccer-ball-o:before,
.fa-futbol-o:before {
  content: "\f1e3";
}
.fa-tty:before {
  content: "\f1e4";
}
.fa-binoculars:before {
  content: "\f1e5";
}
.fa-plug:before {
  content: "\f1e6";
}
.fa-slideshare:before {
  content: "\f1e7";
}
.fa-twitch:before {
  content: "\f1e8";
}
.fa-yelp:before {
  content: "\f1e9";
}
.fa-newspaper-o:before {
  content: "\f1ea";
}
.fa-wifi:before {
  content: "\f1eb";
}
.fa-calculator:before {
  content: "\f1ec";
}
.fa-paypal:before {
  content: "\f1ed";
}
.fa-google-wallet:before {
  content: "\f1ee";
}
.fa-cc-visa:before {
  content: "\f1f0";
}
.fa-cc-mastercard:before {
  content: "\f1f1";
}
.fa-cc-discover:before {
  content: "\f1f2";
}
.fa-cc-amex:before {
  content: "\f1f3";
}
.fa-cc-paypal:before {
  content: "\f1f4";
}
.fa-cc-stripe:before {
  content: "\f1f5";
}
.fa-bell-slash:before {
  content: "\f1f6";
}
.fa-bell-slash-o:before {
  content: "\f1f7";
}
.fa-trash:before {
  content: "\f1f8";
}
.fa-copyright:before {
  content: "\f1f9";
}
.fa-at:before {
  content: "\f1fa";
}
.fa-eyedropper:before {
  content: "\f1fb";
}
.fa-paint-brush:before {
  content: "\f1fc";
}
.fa-birthday-cake:before {
  content: "\f1fd";
}
.fa-area-chart:before {
  content: "\f1fe";
}
.fa-pie-chart:before {
  content: "\f200";
}
.fa-line-chart:before {
  content: "\f201";
}
.fa-lastfm:before {
  content: "\f202";
}
.fa-lastfm-square:before {
  content: "\f203";
}
.fa-toggle-off:before {
  content: "\f204";
}
.fa-toggle-on:before {
  content: "\f205";
}
.fa-bicycle:before {
  content: "\f206";
}
.fa-bus:before {
  content: "\f207";
}
.fa-ioxhost:before {
  content: "\f208";
}
.fa-angellist:before {
  content: "\f209";
}
.fa-cc:before {
  content: "\f20a";
}
.fa-shekel:before,
.fa-sheqel:before,
.fa-ils:before {
  content: "\f20b";
}
.fa-meanpath:before {
  content: "\f20c";
}
/*!
*
* IPython base
*
*/
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
code {
  color: #000;
}
pre {
  font-size: inherit;
  line-height: inherit;
}
label {
  font-weight: normal;
}
/* Make the page background atleast 100% the height of the view port */
/* Make the page itself atleast 70% the height of the view port */
.border-box-sizing {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.corner-all {
  border-radius: 2px;
}
.no-padding {
  padding: 0px;
}
/* Flexible box model classes */
/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
/* This file is a compatability layer.  It allows the usage of flexible box 
model layouts accross multiple browsers, including older browsers.  The newest,
universal implementation of the flexible box model is used when available (see
`Modern browsers` comments below).  Browsers that are known to implement this 
new spec completely include:

    Firefox 28.0+
    Chrome 29.0+
    Internet Explorer 11+ 
    Opera 17.0+

Browsers not listed, including Safari, are supported via the styling under the
`Old browsers` comments below.
*/
.hbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
.hbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.vbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
.vbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.hbox.reverse,
.vbox.reverse,
.reverse {
  /* Old browsers */
  -webkit-box-direction: reverse;
  -moz-box-direction: reverse;
  box-direction: reverse;
  /* Modern browsers */
  flex-direction: row-reverse;
}
.hbox.box-flex0,
.vbox.box-flex0,
.box-flex0 {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
  width: auto;
}
.hbox.box-flex1,
.vbox.box-flex1,
.box-flex1 {
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex,
.vbox.box-flex,
.box-flex {
  /* Old browsers */
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex2,
.vbox.box-flex2,
.box-flex2 {
  /* Old browsers */
  -webkit-box-flex: 2;
  -moz-box-flex: 2;
  box-flex: 2;
  /* Modern browsers */
  flex: 2;
}
.box-group1 {
  /*  Deprecated */
  -webkit-box-flex-group: 1;
  -moz-box-flex-group: 1;
  box-flex-group: 1;
}
.box-group2 {
  /* Deprecated */
  -webkit-box-flex-group: 2;
  -moz-box-flex-group: 2;
  box-flex-group: 2;
}
.hbox.start,
.vbox.start,
.start {
  /* Old browsers */
  -webkit-box-pack: start;
  -moz-box-pack: start;
  box-pack: start;
  /* Modern browsers */
  justify-content: flex-start;
}
.hbox.end,
.vbox.end,
.end {
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
}
.hbox.center,
.vbox.center,
.center {
  /* Old browsers */
  -webkit-box-pack: center;
  -moz-box-pack: center;
  box-pack: center;
  /* Modern browsers */
  justify-content: center;
}
.hbox.baseline,
.vbox.baseline,
.baseline {
  /* Old browsers */
  -webkit-box-pack: baseline;
  -moz-box-pack: baseline;
  box-pack: baseline;
  /* Modern browsers */
  justify-content: baseline;
}
.hbox.stretch,
.vbox.stretch,
.stretch {
  /* Old browsers */
  -webkit-box-pack: stretch;
  -moz-box-pack: stretch;
  box-pack: stretch;
  /* Modern browsers */
  justify-content: stretch;
}
.hbox.align-start,
.vbox.align-start,
.align-start {
  /* Old browsers */
  -webkit-box-align: start;
  -moz-box-align: start;
  box-align: start;
  /* Modern browsers */
  align-items: flex-start;
}
.hbox.align-end,
.vbox.align-end,
.align-end {
  /* Old browsers */
  -webkit-box-align: end;
  -moz-box-align: end;
  box-align: end;
  /* Modern browsers */
  align-items: flex-end;
}
.hbox.align-center,
.vbox.align-center,
.align-center {
  /* Old browsers */
  -webkit-box-align: center;
  -moz-box-align: center;
  box-align: center;
  /* Modern browsers */
  align-items: center;
}
.hbox.align-baseline,
.vbox.align-baseline,
.align-baseline {
  /* Old browsers */
  -webkit-box-align: baseline;
  -moz-box-align: baseline;
  box-align: baseline;
  /* Modern browsers */
  align-items: baseline;
}
.hbox.align-stretch,
.vbox.align-stretch,
.align-stretch {
  /* Old browsers */
  -webkit-box-align: stretch;
  -moz-box-align: stretch;
  box-align: stretch;
  /* Modern browsers */
  align-items: stretch;
}
div.error {
  margin: 2em;
  text-align: center;
}
div.error > h1 {
  font-size: 500%;
  line-height: normal;
}
div.error > p {
  font-size: 200%;
  line-height: normal;
}
div.traceback-wrapper {
  text-align: left;
  max-width: 800px;
  margin: auto;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
body {
  background-color: #fff;
  /* This makes sure that the body covers the entire window and needs to
       be in a different element than the display: box in wrapper below */
  position: absolute;
  left: 0px;
  right: 0px;
  top: 0px;
  bottom: 0px;
  overflow: visible;
}
body > #header {
  /* Initially hidden to prevent FLOUC */
  display: none;
  background-color: #fff;
  /* Display over codemirror */
  position: relative;
  z-index: 100;
}
body > #header #header-container {
  padding-bottom: 5px;
  padding-top: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
body > #header .header-bar {
  width: 100%;
  height: 1px;
  background: #e7e7e7;
  margin-bottom: -1px;
}
@media print {
  body > #header {
    display: none !important;
  }
}
#header-spacer {
  width: 100%;
  visibility: hidden;
}
@media print {
  #header-spacer {
    display: none;
  }
}
#ipython_notebook {
  padding-left: 0px;
  padding-top: 1px;
  padding-bottom: 1px;
}
@media (max-width: 991px) {
  #ipython_notebook {
    margin-left: 10px;
  }
}
[dir="rtl"] #ipython_notebook {
  float: right !important;
}
#noscript {
  width: auto;
  padding-top: 16px;
  padding-bottom: 16px;
  text-align: center;
  font-size: 22px;
  color: red;
  font-weight: bold;
}
#ipython_notebook img {
  height: 28px;
}
#site {
  width: 100%;
  display: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  overflow: auto;
}
@media print {
  #site {
    height: auto !important;
  }
}
/* Smaller buttons */
.ui-button .ui-button-text {
  padding: 0.2em 0.8em;
  font-size: 77%;
}
input.ui-button {
  padding: 0.3em 0.9em;
}
span#login_widget {
  float: right;
}
span#login_widget > .button,
#logout {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button:focus,
#logout:focus,
span#login_widget > .button.focus,
#logout.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
span#login_widget > .button:hover,
#logout:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active:hover,
#logout:active:hover,
span#login_widget > .button.active:hover,
#logout.active:hover,
.open > .dropdown-togglespan#login_widget > .button:hover,
.open > .dropdown-toggle#logout:hover,
span#login_widget > .button:active:focus,
#logout:active:focus,
span#login_widget > .button.active:focus,
#logout.active:focus,
.open > .dropdown-togglespan#login_widget > .button:focus,
.open > .dropdown-toggle#logout:focus,
span#login_widget > .button:active.focus,
#logout:active.focus,
span#login_widget > .button.active.focus,
#logout.active.focus,
.open > .dropdown-togglespan#login_widget > .button.focus,
.open > .dropdown-toggle#logout.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  background-image: none;
}
span#login_widget > .button.disabled:hover,
#logout.disabled:hover,
span#login_widget > .button[disabled]:hover,
#logout[disabled]:hover,
fieldset[disabled] span#login_widget > .button:hover,
fieldset[disabled] #logout:hover,
span#login_widget > .button.disabled:focus,
#logout.disabled:focus,
span#login_widget > .button[disabled]:focus,
#logout[disabled]:focus,
fieldset[disabled] span#login_widget > .button:focus,
fieldset[disabled] #logout:focus,
span#login_widget > .button.disabled.focus,
#logout.disabled.focus,
span#login_widget > .button[disabled].focus,
#logout[disabled].focus,
fieldset[disabled] span#login_widget > .button.focus,
fieldset[disabled] #logout.focus {
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button .badge,
#logout .badge {
  color: #fff;
  background-color: #333;
}
.nav-header {
  text-transform: none;
}
#header > span {
  margin-top: 10px;
}
.modal_stretch .modal-dialog {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  min-height: 80vh;
}
.modal_stretch .modal-dialog .modal-body {
  max-height: calc(100vh - 200px);
  overflow: auto;
  flex: 1;
}
@media (min-width: 768px) {
  .modal .modal-dialog {
    width: 700px;
  }
}
@media (min-width: 768px) {
  select.form-control {
    margin-left: 12px;
    margin-right: 12px;
  }
}
/*!
*
* IPython auth
*
*/
.center-nav {
  display: inline-block;
  margin-bottom: -4px;
}
/*!
*
* IPython tree view
*
*/
/* We need an invisible input field on top of the sentense*/
/* "Drag file onto the list ..." */
.alternate_upload {
  background-color: none;
  display: inline;
}
.alternate_upload.form {
  padding: 0;
  margin: 0;
}
.alternate_upload input.fileinput {
  text-align: center;
  vertical-align: middle;
  display: inline;
  opacity: 0;
  z-index: 2;
  width: 12ex;
  margin-right: -12ex;
}
.alternate_upload .btn-upload {
  height: 22px;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
[dir="rtl"] #tabs li {
  float: right;
}
ul#tabs {
  margin-bottom: 4px;
}
[dir="rtl"] ul#tabs {
  margin-right: 0px;
}
ul#tabs a {
  padding-top: 6px;
  padding-bottom: 4px;
}
ul.breadcrumb a:focus,
ul.breadcrumb a:hover {
  text-decoration: none;
}
ul.breadcrumb i.icon-home {
  font-size: 16px;
  margin-right: 4px;
}
ul.breadcrumb span {
  color: #5e5e5e;
}
.list_toolbar {
  padding: 4px 0 4px 0;
  vertical-align: middle;
}
.list_toolbar .tree-buttons {
  padding-top: 1px;
}
[dir="rtl"] .list_toolbar .tree-buttons {
  float: left !important;
}
[dir="rtl"] .list_toolbar .pull-right {
  padding-top: 1px;
  float: left !important;
}
[dir="rtl"] .list_toolbar .pull-left {
  float: right !important;
}
.dynamic-buttons {
  padding-top: 3px;
  display: inline-block;
}
.list_toolbar [class*="span"] {
  min-height: 24px;
}
.list_header {
  font-weight: bold;
  background-color: #EEE;
}
.list_placeholder {
  font-weight: bold;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
}
.list_container {
  margin-top: 4px;
  margin-bottom: 20px;
  border: 1px solid #ddd;
  border-radius: 2px;
}
.list_container > div {
  border-bottom: 1px solid #ddd;
}
.list_container > div:hover .list-item {
  background-color: red;
}
.list_container > div:last-child {
  border: none;
}
.list_item:hover .list_item {
  background-color: #ddd;
}
.list_item a {
  text-decoration: none;
}
.list_item:hover {
  background-color: #fafafa;
}
.list_header > div,
.list_item > div {
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
.list_header > div input,
.list_item > div input {
  margin-right: 7px;
  margin-left: 14px;
  vertical-align: baseline;
  line-height: 22px;
  position: relative;
  top: -1px;
}
.list_header > div .item_link,
.list_item > div .item_link {
  margin-left: -1px;
  vertical-align: baseline;
  line-height: 22px;
}
.new-file input[type=checkbox] {
  visibility: hidden;
}
.item_name {
  line-height: 22px;
  height: 24px;
}
.item_icon {
  font-size: 14px;
  color: #5e5e5e;
  margin-right: 7px;
  margin-left: 7px;
  line-height: 22px;
  vertical-align: baseline;
}
.item_buttons {
  line-height: 1em;
  margin-left: -5px;
}
.item_buttons .btn,
.item_buttons .btn-group,
.item_buttons .input-group {
  float: left;
}
.item_buttons > .btn,
.item_buttons > .btn-group,
.item_buttons > .input-group {
  margin-left: 5px;
}
.item_buttons .btn {
  min-width: 13ex;
}
.item_buttons .running-indicator {
  padding-top: 4px;
  color: #5cb85c;
}
.item_buttons .kernel-name {
  padding-top: 4px;
  color: #5bc0de;
  margin-right: 7px;
  float: left;
}
.toolbar_info {
  height: 24px;
  line-height: 24px;
}
.list_item input:not([type=checkbox]) {
  padding-top: 3px;
  padding-bottom: 3px;
  height: 22px;
  line-height: 14px;
  margin: 0px;
}
.highlight_text {
  color: blue;
}
#project_name {
  display: inline-block;
  padding-left: 7px;
  margin-left: -2px;
}
#project_name > .breadcrumb {
  padding: 0px;
  margin-bottom: 0px;
  background-color: transparent;
  font-weight: bold;
}
#tree-selector {
  padding-right: 0px;
}
[dir="rtl"] #tree-selector a {
  float: right;
}
#button-select-all {
  min-width: 50px;
}
#select-all {
  margin-left: 7px;
  margin-right: 2px;
}
.menu_icon {
  margin-right: 2px;
}
.tab-content .row {
  margin-left: 0px;
  margin-right: 0px;
}
.folder_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f114";
}
.folder_icon:before.pull-left {
  margin-right: .3em;
}
.folder_icon:before.pull-right {
  margin-left: .3em;
}
.notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
}
.notebook_icon:before.pull-left {
  margin-right: .3em;
}
.notebook_icon:before.pull-right {
  margin-left: .3em;
}
.running_notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
  color: #5cb85c;
}
.running_notebook_icon:before.pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.pull-right {
  margin-left: .3em;
}
.file_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f016";
  position: relative;
  top: -2px;
}
.file_icon:before.pull-left {
  margin-right: .3em;
}
.file_icon:before.pull-right {
  margin-left: .3em;
}
#notebook_toolbar .pull-right {
  padding-top: 0px;
  margin-right: -1px;
}
ul#new-menu {
  left: auto;
  right: 0;
}
[dir="rtl"] #new-menu {
  text-align: right;
}
.kernel-menu-icon {
  padding-right: 12px;
  width: 24px;
  content: "\f096";
}
.kernel-menu-icon:before {
  content: "\f096";
}
.kernel-menu-icon-current:before {
  content: "\f00c";
}
#tab_content {
  padding-top: 20px;
}
#running .panel-group .panel {
  margin-top: 3px;
  margin-bottom: 1em;
}
#running .panel-group .panel .panel-heading {
  background-color: #EEE;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
#running .panel-group .panel .panel-heading a:focus,
#running .panel-group .panel .panel-heading a:hover {
  text-decoration: none;
}
#running .panel-group .panel .panel-body {
  padding: 0px;
}
#running .panel-group .panel .panel-body .list_container {
  margin-top: 0px;
  margin-bottom: 0px;
  border: 0px;
  border-radius: 0px;
}
#running .panel-group .panel .panel-body .list_container .list_item {
  border-bottom: 1px solid #ddd;
}
#running .panel-group .panel .panel-body .list_container .list_item:last-child {
  border-bottom: 0px;
}
[dir="rtl"] #running .col-sm-8 {
  float: right !important;
}
.delete-button {
  display: none;
}
.duplicate-button {
  display: none;
}
.rename-button {
  display: none;
}
.shutdown-button {
  display: none;
}
.dynamic-instructions {
  display: inline-block;
  padding-top: 4px;
}
/*!
*
* IPython text editor webapp
*
*/
.selected-keymap i.fa {
  padding: 0px 5px;
}
.selected-keymap i.fa:before {
  content: "\f00c";
}
#mode-menu {
  overflow: auto;
  max-height: 20em;
}
.edit_app #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.edit_app #menubar .navbar {
  /* Use a negative 1 bottom margin, so the border overlaps the border of the
    header */
  margin-bottom: -1px;
}
.dirty-indicator {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator.pull-left {
  margin-right: .3em;
}
.dirty-indicator.pull-right {
  margin-left: .3em;
}
.dirty-indicator-dirty {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-dirty.pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-clean.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f00c";
}
.dirty-indicator-clean:before.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.pull-right {
  margin-left: .3em;
}
#filename {
  font-size: 16pt;
  display: table;
  padding: 0px 5px;
}
#current-mode {
  padding-left: 5px;
  padding-right: 5px;
}
#texteditor-backdrop {
  padding-top: 20px;
  padding-bottom: 20px;
}
@media not print {
  #texteditor-backdrop {
    background-color: #EEE;
  }
}
@media print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container {
    padding: 0px;
    background-color: #fff;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
/*!
*
* IPython notebook
*
*/
/* CSS font colors for translated ANSI colors. */
.ansibold {
  font-weight: bold;
}
/* use dark versions for foreground, to improve visibility */
.ansiblack {
  color: black;
}
.ansired {
  color: darkred;
}
.ansigreen {
  color: darkgreen;
}
.ansiyellow {
  color: #c4a000;
}
.ansiblue {
  color: darkblue;
}
.ansipurple {
  color: darkviolet;
}
.ansicyan {
  color: steelblue;
}
.ansigray {
  color: gray;
}
/* and light for background, for the same reason */
.ansibgblack {
  background-color: black;
}
.ansibgred {
  background-color: red;
}
.ansibggreen {
  background-color: green;
}
.ansibgyellow {
  background-color: yellow;
}
.ansibgblue {
  background-color: blue;
}
.ansibgpurple {
  background-color: magenta;
}
.ansibgcyan {
  background-color: cyan;
}
.ansibggray {
  background-color: gray;
}
div.cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  border-radius: 2px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  border-width: 1px;
  border-style: solid;
  border-color: transparent;
  width: 100%;
  padding: 5px;
  /* This acts as a spacer between cells, that is outside the border */
  margin: 0px;
  outline: none;
  border-left-width: 1px;
  padding-left: 5px;
  background: linear-gradient(to right, transparent -40px, transparent 1px, transparent 1px, transparent 100%);
}
div.cell.jupyter-soft-selected {
  border-left-color: #90CAF9;
  border-left-color: #E3F2FD;
  border-left-width: 1px;
  padding-left: 5px;
  border-right-color: #E3F2FD;
  border-right-width: 1px;
  background: #E3F2FD;
}
@media print {
  div.cell.jupyter-soft-selected {
    border-color: transparent;
  }
}
div.cell.selected {
  border-color: #ababab;
  border-left-width: 0px;
  padding-left: 6px;
  background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 5px, transparent 5px, transparent 100%);
}
@media print {
  div.cell.selected {
    border-color: transparent;
  }
}
div.cell.selected.jupyter-soft-selected {
  border-left-width: 0;
  padding-left: 6px;
  background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 7px, #E3F2FD 7px, #E3F2FD 100%);
}
.edit_mode div.cell.selected {
  border-color: #66BB6A;
  border-left-width: 0px;
  padding-left: 6px;
  background: linear-gradient(to right, #66BB6A -40px, #66BB6A 5px, transparent 5px, transparent 100%);
}
@media print {
  .edit_mode div.cell.selected {
    border-color: transparent;
  }
}
.prompt {
  /* This needs to be wide enough for 3 digit prompt numbers: In[100]: */
  min-width: 14ex;
  /* This padding is tuned to match the padding on the CodeMirror editor. */
  padding: 0.4em;
  margin: 0px;
  font-family: monospace;
  text-align: right;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
  /* Don't highlight prompt number selection */
  -webkit-touch-callout: none;
  -webkit-user-select: none;
  -khtml-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
  /* Use default cursor */
  cursor: default;
}
@media (max-width: 540px) {
  .prompt {
    text-align: left;
  }
}
div.inner_cell {
  min-width: 0;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_area {
  border: 1px solid #cfcfcf;
  border-radius: 2px;
  background: #f7f7f7;
  line-height: 1.21429em;
}
/* This is needed so that empty prompt areas can collapse to zero height when there
   is no content in the output_subarea and the prompt. The main purpose of this is
   to make sure that empty JavaScript output_subareas have no height. */
div.prompt:empty {
  padding-top: 0;
  padding-bottom: 0;
}
div.unrecognized_cell {
  padding: 5px 5px 5px 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.unrecognized_cell .inner_cell {
  border-radius: 2px;
  padding: 5px;
  font-weight: bold;
  color: red;
  border: 1px solid #cfcfcf;
  background: #eaeaea;
}
div.unrecognized_cell .inner_cell a {
  color: inherit;
  text-decoration: none;
}
div.unrecognized_cell .inner_cell a:hover {
  color: inherit;
  text-decoration: none;
}
@media (max-width: 540px) {
  div.unrecognized_cell > div.prompt {
    display: none;
  }
}
div.code_cell {
  /* avoid page breaking on code cells when printing */
}
@media print {
  div.code_cell {
    page-break-inside: avoid;
  }
}
/* any special styling for code cells that are currently running goes here */
div.input {
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.input {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_prompt {
  color: #303F9F;
  border-top: 1px solid transparent;
}
div.input_area > div.highlight {
  margin: 0.4em;
  border: none;
  padding: 0px;
  background-color: transparent;
}
div.input_area > div.highlight > pre {
  margin: 0px;
  border: none;
  padding: 0px;
  background-color: transparent;
}
/* The following gets added to the <head> if it is detected that the user has a
 * monospace font with inconsistent normal/bold/italic height.  See
 * notebookmain.js.  Such fonts will have keywords vertically offset with
 * respect to the rest of the text.  The user should select a better font.
 * See: https://github.com/ipython/ipython/issues/1503
 *
 * .CodeMirror span {
 *      vertical-align: bottom;
 * }
 */
.CodeMirror {
  line-height: 1.21429em;
  /* Changed from 1em to our global default */
  font-size: 14px;
  height: auto;
  /* Changed to auto to autogrow */
  background: none;
  /* Changed from white to allow our bg to show through */
}
.CodeMirror-scroll {
  /*  The CodeMirror docs are a bit fuzzy on if overflow-y should be hidden or visible.*/
  /*  We have found that if it is visible, vertical scrollbars appear with font size changes.*/
  overflow-y: hidden;
  overflow-x: auto;
}
.CodeMirror-lines {
  /* In CM2, this used to be 0.4em, but in CM3 it went to 4px. We need the em value because */
  /* we have set a different line-height and want this to scale with that. */
  padding: 0.4em;
}
.CodeMirror-linenumber {
  padding: 0 8px 0 4px;
}
.CodeMirror-gutters {
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.CodeMirror pre {
  /* In CM3 this went to 4px from 0 in CM2. We need the 0 value because of how we size */
  /* .CodeMirror-lines */
  padding: 0;
  border: 0;
  border-radius: 0;
}
/*

Original style from softwaremaniacs.org (c) Ivan Sagalaev <Maniac@SoftwareManiacs.Org>
Adapted from GitHub theme

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul {
  list-style: disc;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ul ul {
  list-style: square;
  margin: 0em 2em;
}
.rendered_html ul ul ul {
  list-style: circle;
  margin: 0em 2em;
}
.rendered_html ol {
  list-style: decimal;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
  margin: 0em 2em;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  background-color: #fff;
  color: #000;
  font-size: 100%;
  padding: 0px;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: 1px solid black;
  border-collapse: collapse;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  border: 1px solid black;
  border-collapse: collapse;
  margin: 1em 2em;
}
.rendered_html td,
.rendered_html th {
  text-align: left;
  vertical-align: middle;
  padding: 4px;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget {
  float: right !important;
  float: right;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  margin-top: 6px;
}
span.save_widget span.filename {
  height: 1em;
  line-height: 1em;
  padding: 3px;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
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<h3 id="Importing-all-the-Libraries">Importing all the Libraries<a class="anchor-link" href="#Importing-all-the-Libraries">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">matplotlib</span> inline
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">from</span> <span class="nn">scipy</span> <span class="k">import</span> <span class="n">stats</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
<span class="kn">import</span> <span class="nn">json</span>
<span class="kn">from</span> <span class="nn">pandas.io.json</span> <span class="k">import</span> <span class="n">json_normalize</span>
<span class="kn">from</span> <span class="nn">wordcloud</span> <span class="k">import</span> <span class="n">WordCloud</span><span class="p">,</span> <span class="n">STOPWORDS</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">month_order</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Jan&#39;</span><span class="p">,</span> <span class="s1">&#39;Feb&#39;</span><span class="p">,</span> <span class="s1">&#39;Mar&#39;</span><span class="p">,</span> <span class="s1">&#39;Apr&#39;</span><span class="p">,</span> <span class="s1">&#39;May&#39;</span><span class="p">,</span> <span class="s1">&#39;Jun&#39;</span><span class="p">,</span> <span class="s1">&#39;Jul&#39;</span><span class="p">,</span> <span class="s1">&#39;Aug&#39;</span><span class="p">,</span> <span class="s1">&#39;Sep&#39;</span><span class="p">,</span> 
              <span class="s1">&#39;Oct&#39;</span><span class="p">,</span> <span class="s1">&#39;Nov&#39;</span><span class="p">,</span> <span class="s1">&#39;Dec&#39;</span><span class="p">]</span>
<span class="n">day_order</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Mon&#39;</span><span class="p">,</span> <span class="s1">&#39;Tue&#39;</span><span class="p">,</span> <span class="s1">&#39;Wed&#39;</span><span class="p">,</span> <span class="s1">&#39;Thu&#39;</span><span class="p">,</span> <span class="s1">&#39;Fri&#39;</span><span class="p">,</span> <span class="s1">&#39;Sat&#39;</span><span class="p">,</span> <span class="s1">&#39;Sun&#39;</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;../TED_TALKS/Data/ted_main.csv&#39;</span><span class="p">)</span>
<span class="n">df</span><span class="o">.</span><span class="n">columns</span>
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<pre>Index([&#39;comments&#39;, &#39;description&#39;, &#39;duration&#39;, &#39;event&#39;, &#39;film_date&#39;,
       &#39;languages&#39;, &#39;main_speaker&#39;, &#39;name&#39;, &#39;num_speaker&#39;, &#39;published_date&#39;,
       &#39;ratings&#39;, &#39;related_talks&#39;, &#39;speaker_occupation&#39;, &#39;tags&#39;, &#39;title&#39;,
       &#39;url&#39;, &#39;views&#39;],
      dtype=&#39;object&#39;)</pre>
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<h3 id="Features-Available">Features Available<a class="anchor-link" href="#Features-Available">&#182;</a></h3><ul>
<li>name: The official name of the TED Talk. Includes the title and the speaker</li>
<li>title: The title of the talk</li>
<li>description: A blurb of what the talk is about</li>
<li>main_speaker: The first named speaker of the talk </li>
<li>speaker_occupation: The occupation of the main speaker</li>
<li>num_speaker: The number of speakers in the talk</li>
<li>duration: The duration of the talk in seconds</li>
<li>event: The TED/TEDx event where the talk took place</li>
<li>film_date: The Unix timestamp of the filming </li>
<li>published_date: The Unix timestamp of the publication of the talk on TED.com</li>
<li>comments: The number of first level comments made on the talk</li>
<li>tags: The themes associated with the talk</li>
<li>languages: The number of languages in which the talk is available</li>
<li>ratings: A stringified dictionary of the various ratings given to the talk(For ex: inspiring, fascinating, jaw dropping etc.)</li>
<li>related_talks: A list of dictionaries of recommended talks to watch next</li>
<li>url: The URL of the talk</li>
<li>views: Number of views on the talk</li>
</ul>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="p">[[</span><span class="s1">&#39;name&#39;</span><span class="p">,</span> <span class="s1">&#39;title&#39;</span><span class="p">,</span> <span class="s1">&#39;description&#39;</span><span class="p">,</span> <span class="s1">&#39;main_speaker&#39;</span><span class="p">,</span> <span class="s1">&#39;speaker_occupation&#39;</span><span class="p">,</span>
       <span class="s1">&#39;num_speaker&#39;</span><span class="p">,</span> <span class="s1">&#39;duration&#39;</span><span class="p">,</span> <span class="s1">&#39;event&#39;</span><span class="p">,</span> <span class="s1">&#39;film_date&#39;</span><span class="p">,</span> <span class="s1">&#39;published_date&#39;</span><span class="p">,</span> <span class="s1">&#39;comments&#39;</span><span class="p">,</span> 
       <span class="s1">&#39;tags&#39;</span><span class="p">,</span> <span class="s1">&#39;languages&#39;</span><span class="p">,</span> <span class="s1">&#39;ratings&#39;</span><span class="p">,</span> <span class="s1">&#39;related_talks&#39;</span><span class="p">,</span> <span class="s1">&#39;url&#39;</span><span class="p">,</span> <span class="s1">&#39;views&#39;</span><span class="p">]]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">datetime</span>
<span class="n">df</span><span class="p">[</span><span class="s1">&#39;film_date&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;film_date&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">datetime</span><span class="o">.</span><span class="n">datetime</span><span class="o">.</span>
                                      <span class="n">fromtimestamp</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">x</span><span class="p">))</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">%d</span><span class="s1">-%m-%Y&#39;</span><span class="p">))</span>
<span class="n">df</span><span class="p">[</span><span class="s1">&#39;published_date&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;published_date&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">datetime</span><span class="o">.</span><span class="n">datetime</span><span class="o">.</span>
                                                  <span class="n">fromtimestamp</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">x</span><span class="p">))</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">%d</span><span class="s1">-%m-%Y&#39;</span><span class="p">))</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>name</th>
      <th>title</th>
      <th>description</th>
      <th>main_speaker</th>
      <th>speaker_occupation</th>
      <th>num_speaker</th>
      <th>duration</th>
      <th>event</th>
      <th>film_date</th>
      <th>published_date</th>
      <th>comments</th>
      <th>tags</th>
      <th>languages</th>
      <th>ratings</th>
      <th>related_talks</th>
      <th>url</th>
      <th>views</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>Ken Robinson: Do schools kill creativity?</td>
      <td>Do schools kill creativity?</td>
      <td>Sir Ken Robinson makes an entertaining and pro...</td>
      <td>Ken Robinson</td>
      <td>Author/educator</td>
      <td>1</td>
      <td>1164</td>
      <td>TED2006</td>
      <td>25-02-2006</td>
      <td>27-06-2006</td>
      <td>4553</td>
      <td>['children', 'creativity', 'culture', 'dance',...</td>
      <td>60</td>
      <td>[{'id': 7, 'name': 'Funny', 'count': 19645}, {...</td>
      <td>[{'id': 865, 'hero': 'https://pe.tedcdn.com/im...</td>
      <td>https://www.ted.com/talks/ken_robinson_says_sc...</td>
      <td>47227110</td>
    </tr>
    <tr>
      <th>1</th>
      <td>Al Gore: Averting the climate crisis</td>
      <td>Averting the climate crisis</td>
      <td>With the same humor and humanity he exuded in ...</td>
      <td>Al Gore</td>
      <td>Climate advocate</td>
      <td>1</td>
      <td>977</td>
      <td>TED2006</td>
      <td>25-02-2006</td>
      <td>27-06-2006</td>
      <td>265</td>
      <td>['alternative energy', 'cars', 'climate change...</td>
      <td>43</td>
      <td>[{'id': 7, 'name': 'Funny', 'count': 544}, {'i...</td>
      <td>[{'id': 243, 'hero': 'https://pe.tedcdn.com/im...</td>
      <td>https://www.ted.com/talks/al_gore_on_averting_...</td>
      <td>3200520</td>
    </tr>
    <tr>
      <th>2</th>
      <td>David Pogue: Simplicity sells</td>
      <td>Simplicity sells</td>
      <td>New York Times columnist David Pogue takes aim...</td>
      <td>David Pogue</td>
      <td>Technology columnist</td>
      <td>1</td>
      <td>1286</td>
      <td>TED2006</td>
      <td>24-02-2006</td>
      <td>27-06-2006</td>
      <td>124</td>
      <td>['computers', 'entertainment', 'interface desi...</td>
      <td>26</td>
      <td>[{'id': 7, 'name': 'Funny', 'count': 964}, {'i...</td>
      <td>[{'id': 1725, 'hero': 'https://pe.tedcdn.com/i...</td>
      <td>https://www.ted.com/talks/david_pogue_says_sim...</td>
      <td>1636292</td>
    </tr>
    <tr>
      <th>3</th>
      <td>Majora Carter: Greening the ghetto</td>
      <td>Greening the ghetto</td>
      <td>In an emotionally charged talk, MacArthur-winn...</td>
      <td>Majora Carter</td>
      <td>Activist for environmental justice</td>
      <td>1</td>
      <td>1116</td>
      <td>TED2006</td>
      <td>26-02-2006</td>
      <td>27-06-2006</td>
      <td>200</td>
      <td>['MacArthur grant', 'activism', 'business', 'c...</td>
      <td>35</td>
      <td>[{'id': 3, 'name': 'Courageous', 'count': 760}...</td>
      <td>[{'id': 1041, 'hero': 'https://pe.tedcdn.com/i...</td>
      <td>https://www.ted.com/talks/majora_carter_s_tale...</td>
      <td>1697550</td>
    </tr>
    <tr>
      <th>4</th>
      <td>Hans Rosling: The best stats you've ever seen</td>
      <td>The best stats you've ever seen</td>
      <td>You've never seen data presented like this. Wi...</td>
      <td>Hans Rosling</td>
      <td>Global health expert; data visionary</td>
      <td>1</td>
      <td>1190</td>
      <td>TED2006</td>
      <td>22-02-2006</td>
      <td>28-06-2006</td>
      <td>593</td>
      <td>['Africa', 'Asia', 'Google', 'demo', 'economic...</td>
      <td>48</td>
      <td>[{'id': 9, 'name': 'Ingenious', 'count': 3202}...</td>
      <td>[{'id': 2056, 'hero': 'https://pe.tedcdn.com/i...</td>
      <td>https://www.ted.com/talks/hans_rosling_shows_t...</td>
      <td>12005869</td>
    </tr>
  </tbody>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">len</span><span class="p">(</span><span class="n">df</span><span class="p">)</span>
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<pre>2550</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pop_talks</span> <span class="o">=</span> <span class="n">df</span><span class="p">[[</span><span class="s1">&#39;title&#39;</span><span class="p">,</span> <span class="s1">&#39;main_speaker&#39;</span><span class="p">,</span> <span class="s1">&#39;views&#39;</span><span class="p">,</span> <span class="s1">&#39;comments&#39;</span><span class="p">,</span>
               <span class="s1">&#39;film_date&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;views&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)[:</span><span class="mi">15</span><span class="p">]</span>
<span class="n">pop_talks</span>
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    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>title</th>
      <th>main_speaker</th>
      <th>views</th>
      <th>comments</th>
      <th>film_date</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>Do schools kill creativity?</td>
      <td>Ken Robinson</td>
      <td>47227110</td>
      <td>4553</td>
      <td>25-02-2006</td>
    </tr>
    <tr>
      <th>1346</th>
      <td>Your body language may shape who you are</td>
      <td>Amy Cuddy</td>
      <td>43155405</td>
      <td>2290</td>
      <td>26-06-2012</td>
    </tr>
    <tr>
      <th>677</th>
      <td>How great leaders inspire action</td>
      <td>Simon Sinek</td>
      <td>34309432</td>
      <td>1930</td>
      <td>17-09-2009</td>
    </tr>
    <tr>
      <th>837</th>
      <td>The power of vulnerability</td>
      <td>Brené Brown</td>
      <td>31168150</td>
      <td>1927</td>
      <td>06-06-2010</td>
    </tr>
    <tr>
      <th>452</th>
      <td>10 things you didn't know about orgasm</td>
      <td>Mary Roach</td>
      <td>22270883</td>
      <td>354</td>
      <td>06-02-2009</td>
    </tr>
    <tr>
      <th>1776</th>
      <td>How to speak so that people want to listen</td>
      <td>Julian Treasure</td>
      <td>21594632</td>
      <td>297</td>
      <td>10-06-2013</td>
    </tr>
    <tr>
      <th>201</th>
      <td>My stroke of insight</td>
      <td>Jill Bolte Taylor</td>
      <td>21190883</td>
      <td>2877</td>
      <td>27-02-2008</td>
    </tr>
    <tr>
      <th>5</th>
      <td>Why we do what we do</td>
      <td>Tony Robbins</td>
      <td>20685401</td>
      <td>672</td>
      <td>02-02-2006</td>
    </tr>
    <tr>
      <th>2114</th>
      <td>This is what happens when you reply to spam email</td>
      <td>James Veitch</td>
      <td>20475972</td>
      <td>150</td>
      <td>08-12-2015</td>
    </tr>
    <tr>
      <th>1416</th>
      <td>Looks aren't everything. Believe me, I'm a model.</td>
      <td>Cameron Russell</td>
      <td>19787465</td>
      <td>846</td>
      <td>27-10-2012</td>
    </tr>
    <tr>
      <th>500</th>
      <td>The puzzle of motivation</td>
      <td>Dan Pink</td>
      <td>18830983</td>
      <td>1094</td>
      <td>24-07-2009</td>
    </tr>
    <tr>
      <th>1163</th>
      <td>The power of introverts</td>
      <td>Susan Cain</td>
      <td>17629275</td>
      <td>1155</td>
      <td>28-02-2012</td>
    </tr>
    <tr>
      <th>1036</th>
      <td>How to spot a liar</td>
      <td>Pamela Meyer</td>
      <td>16861578</td>
      <td>561</td>
      <td>13-07-2011</td>
    </tr>
    <tr>
      <th>2109</th>
      <td>What makes a good life? Lessons from the longe...</td>
      <td>Robert Waldinger</td>
      <td>16601927</td>
      <td>527</td>
      <td>14-11-2015</td>
    </tr>
    <tr>
      <th>1129</th>
      <td>The happy secret to better work</td>
      <td>Shawn Achor</td>
      <td>16209727</td>
      <td>754</td>
      <td>11-05-2011</td>
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<h3 id="Observations">Observations<a class="anchor-link" href="#Observations">&#182;</a></h3><ul>
<li>Ken Robinson's talk on <strong>Do schools kill creativity?</strong> is the most popular TED Talk with 47.2 million views</li>
<li>Also, it is the first ever talk to be uploaded on TED</li>
<li>Robinson's talk is closely followed by Amy Cuddy's talk on <strong>Your body language may shape who you are</strong> </li>
<li>There are only 2 talks above 40 million views abd 4 talks above 30 million</li>
</ul>
<p>Lets create a bar chart to visualize these 15 talks in terms of the number of views they garnered</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pop_talks</span><span class="p">[</span><span class="s1">&#39;abbr&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pop_talks</span><span class="p">[</span><span class="s1">&#39;main_speaker&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[:</span><span class="mi">3</span><span class="p">])</span>
<span class="n">sns</span><span class="o">.</span><span class="n">set_style</span><span class="p">(</span><span class="s2">&quot;whitegrid&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>
<span class="n">sns</span><span class="o">.</span><span class="n">barplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s1">&#39;abbr&#39;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s1">&#39;views&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">pop_talks</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x99e1810&gt;</pre>
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<div class="prompt input_prompt">In&nbsp;[10]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">distplot</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;views&#39;</span><span class="p">])</span>
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<div class="prompt output_prompt">Out[10]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x143c02d0&gt;</pre>
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<div class="prompt input_prompt">In&nbsp;[11]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">distplot</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;views&#39;</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mf">4e6</span><span class="p">][</span><span class="s1">&#39;views&#39;</span><span class="p">])</span>
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<div class="prompt output_prompt">Out[11]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1466e8d0&gt;</pre>
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>
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<div class="prompt input_prompt">In&nbsp;[12]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;views&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
</pre></div>

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<pre>count    2.550000e+03
mean     1.698297e+06
std      2.498479e+06
min      5.044300e+04
25%      7.557928e+05
50%      1.124524e+06
75%      1.700760e+06
max      4.722711e+07
Name: views, dtype: float64</pre>
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<h3 id="Comments">Comments<a class="anchor-link" href="#Comments">&#182;</a></h3>
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<pre>count    2550.000000
mean      191.562353
std       282.315223
min         2.000000
25%        63.000000
50%       118.000000
75%       221.750000
max      6404.000000
Name: comments, dtype: float64</pre>
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<h3 id="Observations">Observations<a class="anchor-link" href="#Observations">&#182;</a></h3><ul>
<li>On average, there are 191.5 comments on every TED talk. Assuming the comments are constructive criticism, we can conclude that the TED Online Community is highly involved in discussions revolving TED Talks</li>
<li>There is a huge standard deviation associated with the comments. In fact, it is even larger than the mean suggesting that the measures may be sensitive to outliers. We shall plot this to check the nature of the distribution</li>
<li>The minimum number of comments on a talk is <strong>2</strong> and the maximum is <strong>6404</strong>. The range is 6404. The min number, though, may be as a result of the talk being posted extremely recently</li>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7adccd0&gt;</pre>
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<div class="prompt input_prompt">In&nbsp;[15]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">distplot</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;comments&#39;</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mi">500</span><span class="p">][[</span><span class="s1">&#39;comments&#39;</span><span class="p">]])</span>
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<div class="prompt output_prompt">Out[15]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x146276b0&gt;</pre>
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JycfM5RfWZm5kD0bUhVVlZecN2723vmvtvL2xkZbSIpMWkwS7sg9Q3156wjCfjg+EE+ae7i+qxUtBoNmZn+OSffn5+BP5L61RXI9ZeWlvbZ5nO6Jicnh5KSEgDKysrIyMjobZs6dSqlpaW4XC5sNhs1NTVkZGSQk5PD1q1bASgpKWHatGn86Ec/4s9//jOFhYXcdttt3HPPPcN62sbT7aXF4fabk67nc2V6LM12Nwcb7WqXIoToJ58j+Xnz5rF9+3YWLVqEoiisWrWKjRs3YrVamTt3LosXLyY/Px9FUViyZAlGo5GCggKWLVtGcXEx0dHRrF27dij6ElCaHW4U/Pek6+dNHhnJX40N7Dx0iowRFt9PEEL4DZ8hr9VqWbFixVnH0tPTe7/Oy8sjLy/vrPa4uDg2bNjQ52t+97vf7W+dQeez5ZP+H/J6nZYZY2J4r7qRFodb7XKEEP0gF0OppNHmRENghDzAjNQYNBrYeeiU2qUIIfpBQl4lTTYXUeEhhPjRnjXnExkWwuTkSD463EK7s0vtcoQQFygwEiYINdlcJATASdfPyx0bj8vjldsDChFAJORV4FUUmmyugJmqOSM5Ooy0OBPPvX8Yt8erdjlCiAsgIa+C1o4uPF4lIFbWfFHuuHga2p28vkd2pxQiEEjIq6DR1nM3qEAbyQNkjDAzfoSF3287hKIoapcjhPBBQl4Fn21MFlhz8tBze8D7clOparCxdX+T2uUIIXyQkFdBo82F2agnzKBTu5SLcmtWMiMijDy9tUbtUoQQPkjIqyAQT7p+nkGv5f7cNHYeauGjw7INsRD+TEJ+iCkBurLmi75xRQpxZgO//ucBtUsRQpyHhPwQO93RRWdXN3HmwA75MIOO+3PT2HagmY+Pnla7HCFEHyTkh1htc8/WzHFm/7xRSH/cNTOFGJOM5oXwZxLyQ+zwmZA3BfZIHsBk1HNfbirvVTex51ir2uUIIc5BQn6I1TY70Grw21v+9dfdV44hKjxERvNC+CkJ+SFWe8pBdLgBnVajdikDwmzUc39uGv+saqT0iMzNC+FvJOSH2OFmB7FBMB//efdcNYY4s4FfvFUlV8EK4Wck5IeQoijUNjuIDfCVNV9kMup5aM5Ydh5qYduBZrXLEUJ8joT8EGqyuehwB/7yyXO58woryVFh/OKtahnNC+FHJOSHUO/yySA56fp5Rr2OJfMy2Huijb9XNKhdjhDiUxLyQ+hMyAfbdM0Zt2UnMzbBzC//UY2nW/abF8IfSMgPodpTDgw6LVHhIWqXMih0Wg0/nD+eQ00Oiv91XO1yhBCAXu0ChpPDzQ6sseFoNYG9fHLTrr5v/6coCikx4fzPlv3cmjUSk1F+xYRQk4zkh1Bts4MxsSa1yxhUGo2Gr0xOpMnm4tlttWqXI8SwJyE/RLxehSOnOkiLD+6QB7DGmrhhUiLPlNT03iBFCKEOCfkhUt/uxOXxBv1I/owf3TAep8cr2x0IoTIJ+SFS29SzsmZMXLjKlQyNtHgz+TOsbPrwKDVNdrXLEWLYkpAfIrWnekI+Lc6sciVD53tzxxGq1/LzN6vULkWIYUuWPgyR2iYHYSE6RkQE5xr5LzqzAufK9Fje2neS1X+rJOUcU1X5V1iHujQhhhWfI3mv18tjjz3GHXfcweLFizly5MhZ7cXFxSxcuJC8vDzeffddAFpaWrj33nvJz8/n+9//Pp2dnQC88MILfO1rX+P222/vfexwcfiUg5TYcDQBvnyyv2aNjccSqufvFQ2y3YEQKvAZ8lu2bMHtdlNUVMTDDz/MmjVretuampooLCxk8+bNbNiwgXXr1uF2u1m/fj0LFixg06ZNTJw4kaKiIlpaWti0aRObN2/m+eefZ/ny5cPqQ3+42TEsVtZ8kUGv5brMERxt6WBfXbva5Qgx7PgM+dLSUnJzcwHIysqioqKit628vJzs7GwMBgMWiwWr1UpVVdVZz5k9ezY7duwgJiaGv/zlL4SEhNDc3ExERMSwGdV6ur0cbekYNitrvijHGk2Cxchb+xro9g6fP+xC+AOfc/J2ux2z+bOThTqdDo/Hg16vx263Y7FYettMJhN2u/2s4yaTCZvN1vNmej1/+tOfePLJJ1m8eHGf71lZWXnRHVKL0+nss+669i48XgWju53KykrqG/xvROvp6qK+oX7QXn9GspE3qtrZUl7L1MSw3uOVlY4Be4/z/QwCgdSvrkCvvy8+Q95sNuNwfPZB9Hq96PX6c7Y5HA4sFkvv8dDQUBwOBxEREb2Pueuuu8jLy+P+++9n586dzJw580vvmZmZeUmdUkNlZWWfdZ+sbgSOceWUsWSmxrC7ve9tAdRS31BPUmLSoL1+4giFfc21/KvOxbWTUjCG6ADIzBy4E6/n+xkEAqlfXYFcf2lpaZ9tPqdrcnJyKCkpAaCsrIyMjIzetqlTp1JaWorL5cJms1FTU0NGRgY5OTls3boVgJKSEqZNm8ahQ4d46KGHUBSFkJAQDAYDWu3wWMF55ubdw2WN/LloNBpumJSIw+Vh20G5sYgQQ8XnSH7evHls376dRYsWoSgKq1atYuPGjVitVubOncvixYvJz89HURSWLFmC0WikoKCAZcuWUVxcTHR0NGvXriU8PJwJEyZwxx13oNFoyM3NZcaMGUPRR9UdPtWByaAjPki3GL5Qo2PCmZwcyfsHmrkiNQZLaHDuximEP/EZ8lqtlhUrVpx1LD09vffrvLw88vLyzmqPi4tjw4YNX3qthx56iIceeuhiaw1YPcsnTcPmRPP5zJ84gk/q2ninqpFbs5LVLkeIoDc85ktUdrjZQWrc8FxZ80WxZiMzUmP46HALzbJ5mRCDTkJ+kHV1ezl+unNYz8d/0ZzxCei1Wv5ReVLtUoQIehLyg+zE6U48XuWcl/QPV5bQEGaNi6PiRBt7jrWqXY4QQU1CfpCd2ZhMpmvOljs2DpNBxxNvVg2rK5+FGGoS8oPsyJnlkzKSP4sxRMecCQnsqDnFtgOypFKIwSIhP8jOLJ+MMxvULsXvzBgTw+iYMNb8vQqvbHcgxKCQkB9ktc0OxsTJ8slz0eu0PDxvPJ/Ut/N6eZ3a5QgRlCTkB9mRUz0hL87tlstGMmlkBL94qxqXp1vtcoQIOhLyg6ir28ux052MiZXlk33RajU88pVMjp/upPCDI76fIIToFwn5QXT8dCfdXkVOuvowa1wcuePi+M27B2nr7FK7HCGCioT8IDosyycv2I+/MoG2zi5++16N2qUIEVQk5AfRmd0n5UIo3yaNjOS2rGQ2bq+lrrVT7XKECBpyI+9BdLjZgdmol+WT53Hmht8A6Qlmur0K33nhY/Kmj+49Ljf7FuLiyUh+EB0+1cGYuOF38+6LFR1uYNa4OMqOtXK0pUPtcoQIChLyg+jMFsPiwl2TEY8lVM8b5XV4ZbsDIS6ZhPwgObP7ZKqEfL8Y9TrmT0rk+OlO2bxMiAEgIT9IjrZ09CyflJU1/ZY1OopR0WG8ta9BLpAS4hJJyA+S2qaelTVp8RLy/aXVaLhpShLtTg/vVDWqXY4QAU1CfpAcarYDkCYj+YuSEmtieko02w82s6+uTe1yhAhYEvKDpLbZQYzJQFS4LJ+8WDdMTiTMoOeRV/bSLbtUCnFRJOQHSU2TQ0bxlyjcoGfB1CTKj7fxxw8Oq12OEAFJQn6QHGpyyHz8AJiaHMmc8fH84q1qTsiVsEL0m4T8IGh3dtFsd5EaZ1a7lICn0Wj42VcnA/CDojKZthGinyTkB4GsrBlYo6LDWXHrZHbVtvDUuwfVLkeIgCIhPwjOrKxJl5AfMF/LSearWSP51Zb9fHS4Re1yhAgYEvKDoLbJgVYDo2PkZiEDRaPRsPK2KYyOCec/X9xNa4db7ZKECAiyC+UAOrOj4rvVTUSFG3i59ITKFQUXs1HPk3dm87Xf7uC7L+7muXsuJ0Qn4xQhzkc+IYOg2e4i3mxUu4ygNHVUFP/91SlsO9DMT/6vAkU2MRPivHyO5L1eL8uXL6e6uhqDwcDKlStJSUnpbS8uLmbz5s3o9XoKCgqYM2cOLS0tLF26FKfTSUJCAqtXryYsLIznn3+ev/71rwBcc801PPTQQ4PXM5V4FYVmu0vWyA+ivMtHc+x0B0++cxBrbDj/MWes2iUJ4bd8hvyWLVtwu90UFRVRVlbGmjVr+O1vfwtAU1MThYWFvPzyy7hcLvLz87n66qtZv349CxYsYOHChTzzzDMUFRUxd+5cXnvtNf785z+j0WjIz8/nuuuuY8KECYPeyaHU3tlFV7dCnEVG8oPpB/MyONrSwS/eqiYxIpSvTRvF3/a3s7v9qM/nyk1IxHDic7qmtLSU3NxcALKysqioqOhtKy8vJzs7G4PBgMViwWq1UlVVddZzZs+ezY4dO0hMTOTZZ59Fp9Oh1WrxeDwYjcEXhM32nhOCcTJdM6g0Gg0/v30qV6XHsvSlPbxUelztkoTwSz5H8na7HbP5s4t6dDodHo8HvV6P3W7HYrH0tplMJux2+1nHTSYTNpuNkJAQYmJiUBSFn//850ycOJHU1NRzvmdlZeWl9mvIOZ1O6hvaqWnouSrT29FKfYNN5aounKeri/qGerXLOKfKSkefbT+caWFFRwc//PMerhkTBvjuw/leT01OpzMgf/fPkPr9k8+QN5vNOByffSi8Xi96vf6cbQ6HA4vF0ns8NDQUh8NBREQEAC6Xi0cffRSTycTjjz/e53tmZmZedIfUUllZSVJiLP9qrMOg62SsNTmgbvtX31BPUmKS2mWcU2bm+adXXpwwgQcKS3lvfxMRkdHMTIu9pNdTS2VlZUD+7p8h9auntLS0zzaf0zU5OTmUlJQAUFZWRkZGRm/b1KlTKS0txeVyYbPZqKmpISMjg5ycHLZu3QpASUkJ06ZNQ1EUvvOd7zB+/HhWrFiBTqe71H75pVN2F3FmQ0AFfKALDdHxu8XTSI028NqeOt7+pEFW3QjxKZ8j+Xnz5rF9+3YWLVqEoiisWrWKjRs3YrVamTt3LosXLyY/Px9FUViyZAlGo5GCggKWLVtGcXEx0dHRrF27li1btvDhhx/idrvZtm0bAD/4wQ/Izs4e9E4OpSabSy6CUkFoiI4bx1vYVe/l3eom2jo93JadjE4rf2zF8OYz5LVaLStWrDjrWHp6eu/XeXl55OXlndUeFxfHhg0bzjo2b9489u7deym1+j1Pt5fWji6yrXLSVQ1ajYbbspOJDAvhn1WN2F1d3DnDilEfnP9qFOJCyMVQA6jZ4UZBVtaoSaPRMDdzBLdlJ3Ow0c7vtx3C5uxSuywhVCMhP4BOtjsBGBEhIa+2y8fEcNfMFJpsLp7eWkOTzaV2SUKoQkJ+ADW2O9FqkC0N/MSExAjuz03D7fHyu5Ia6uSmI2IYkg3KBtDJdhexJiN62TTLb4yKDueBa9LZ8H4tz75/iHuuSu3dSO585KpYESwk5AfQyXYniZGhapcRdC4klM8nzmzk27PT2PB+Lc9tr+XumSmkxctdu8TwIEPOAeLyeGlxuBkRISHvj6LDDXx7dhpRYSH84YPD1Db751WvQgw0CfkBcqytCwUk5P1YRGgI9+WmERVm4A8fHOZYS4faJQkx6CTkB8jR1p6NyUbI7pN+zWzU861ZqZiNejbuqJWTsSLoScgPkMOtbnQaDbGyssbvRYSF8K1ZqRj1Op7bXkuzLK8UQUxCfoAcae0i3mKUy+gDRHS4gW/NSkUDPLejlvZOuWBKBCcJ+QFypNVNglwEFVDizEbuuSqVDnc3z+84TKe7W+2ShBhwEvIDwOHycNLukZOuASg5Ooy7rui5MrZw52G6ur1qlyTEgJKQHwAHGu2AnHQNVGMTzHx9+iiOnOqg6KNjeGWbYhFEJOQHwP6TPXeAkpF84Jo6KoqbpibxSX07fyk7IfvRi6AhIT8A9jfYMOg0RJsMapciLsFV6XFcmxHPR4dPs+7t/WqXI8SAkG0NBsD+RjvWyBC0cjeogDdv4gjsLg9PvnMQS6ieb89O9/0kIfyYhPwA2N9gY1KcjOKDgUaj4dasZEZEhrLqb1UYdFruufrcN5wXIhBIyF+its4uGtqd3DguRu1SxADRaTX86o4sujxelr/+CQa9TnalFAFL5uQvUXVDz0nXlCgZyQeTEJ0O44QWAAAUAUlEQVSWJ/OzmTM+nkf/by/Pb69VuyQhLoqE/CUqP94KwNhYCflgY9Tr+O1d07h+4giWv/4Jv3irSlbdiIAjIX+J9p5oIykylJgwmfkKRqEhPUF/5wwrT71bw7KXy+WCKRFQJJku0d7jbUxJjlS7DDGIdFoNq26bTILFyP/+8wAHG+38Jj+HkVFhapcmhE8ykr8EbZ1dHGp2cNnoKLVLEYNMo9GwZF4Gv8nPZv9JOzf+ehv/rDypdllC+CQj+Uuw70QbQM9IvrtZ5WrEUFgwdSSTRkbyHy98zLf+8C+mpURzw6RETMa+P0qyMkeoSUbyl2DP8Z6QnzpKpmuGk9Q4E6985yoemJ3G7qM9V8fuqj0le94IvyQj+Uuw90Qr1phwosIN1KtdjBhSoSE6Hrkxk9AQHa/tqeMvZXVsP9jMtRkJXDY6Su4rIPyGjOQvwZ5jbUyRUfywNiIilPtmpZI/w0qITstLHx9n3dvVbD/YLPvTC78gI/mLdMru4kRrJ9+8KkXtUoTKNBoNk5MjmTQyguoGG+/tb+Kve+t5a18DU0dFMm6Emekp0WhkbyOhAp8h7/V6Wb58OdXV1RgMBlauXElKymfBVlxczObNm9Hr9RQUFDBnzhxaWlpYunQpTqeThIQEVq9eTVhYz3KzlpYWFi1axOuvv47RGLj7r+/tPekqK2tED41Gw4SkCCYkRVDX2smHh1soO9bK15/+gDGx4SzMGcXCnGRGRYerXaoYRnxO12zZsgW3201RUREPP/wwa9as6W1ramqisLCQzZs3s2HDBtatW4fb7Wb9+vUsWLCATZs2MXHiRIqKigDYtm0b9957L83Ngb8Spfx4GxoNTE6OULsU4YdGRoXx1axkHvnKBH759ctIigxj3dv7yf35u3zj2Z28uvsEzi6ZzhGDz2fIl5aWkpubC0BWVhYVFRW9beXl5WRnZ2MwGLBYLFitVqqqqs56zuzZs9mxY0fPm2m1bNy4kaiowB/9lh9vIy3OhCU0RO1ShB8z6nXcPm0UL357Jtt+NIfvz83gyKkOvl9UxszV/2TV3yo5eqpD7TJFEPM5XWO32zGbzb3f63Q6PB4Per0eu92OxWLpbTOZTNjt9rOOm0wmbLaeTbyuvvrqCyqqsrKyX51Qw8eHm8lKCuut1el0Ut/QrnJVF8/T1UV9Q2CvERrIPqz9y8D9v6isdPR+fX0yXDcykT0NTv5W3c6z2w7x+5JDXDE6nNvGhwP+/7vfF6fTGRCf3b4Eev198RnyZrMZh+OzX1Kv14terz9nm8PhwGKx9B4PDQ3F4XAQEdG/KY3MzMx+PX6onWx30tJ5iNxJVjIze/Yar6ysJCkxVuXKLl59Qz1JiUlql3FJ/LUPmZlfvhhq0kTI/zeob+tk066jFO48wrItzVyVrvDdfxvHlemB97tUWVnp95/d8wnk+ktLS/ts8xnyOTk5vPvuu9x4442UlZWRkZHR2zZ16lR+9atf4XK5cLvd1NTUkJGRQU5ODlu3bmXhwoWUlJQwbdq0gemJn9h99DQgF0GJC7Np19HztidFhvGfc8expfww5cfbuPP3O8kYYWb+pESSIr+8P45cQSv6w2fIz5s3j+3bt7No0SIURWHVqlVs3LgRq9XK3LlzWbx4Mfn5+SiKwpIlSzAajRQUFLBs2TKKi4uJjo5m7dq1Q9GXIbP94CnCDTpZWSMGjFGvI2dkONdflsrOQ6d4r7qJ37xzkMtGRzF/UiKRYXLuR1wcnyGv1WpZsWLFWcfS0z+772VeXh55eXlntcfFxbFhw4Y+X/Odd97pb51+ZXtNMzNSYzDo5VoyMbBCdFpyx8UzPSWGkgNNbD/YzL66Nq7JiCd3XDwhOvmdE/0jF0P1U31bJ4eaHOTPkH8yi8ETZtAxf1Iil4+J4c2KerZUNvKvI6f5yuQkFEWRC6vEBZNhQT9tP3gKgKvS41SuRAwHMSYD+VekcN+sVEL1Ol788Ch3/n4nVQG8kksMLQn5ftpxsJlYk4EJiRbfDxZigKTFm/mPOWO55bKRVDXYuPF/t/HIK+U0tjvVLk34OQn5flAUhfcPNnNleixa2WVQDDGdVsPMtFjeW3ot91yVykulx7n2l+/xP2/vp93ZpXZ5wk9JyPdDTZOdRpuLWWNlqkaoJyrcwGM3T2TLD65hzvgE/vefB7h6zTuse3s/rR1utcsTfkZCvh/eP9Cz587VEvLCD6TEmnjqGzm88d1ZXJUey68/DfvH/lLBgZM2tcsTfkJW1/TD9ppTWGPCGR0juwgK9Zzr4qprMhIYPyKCkgNNvLDrKH/84Agz02JYmDNK1tkPcxLyF8jT7WVnzSkWXOZ/l80LAZAYGUre9NHcOCWJbq/Cix8e5UcvlfOT/6vg2vHxXD8pkWvHxxNnDtwtvkX/SchfoL0n2rC5PDJVI/ye2agn/worD16Txp7jbby+p46/ltfzj09OotHAZaOimJ0RT+64OKrqbT5vVSjbKAQ2CfkL9Oa+BvRajayPFwFDo9GQNTqKrNFR/OSmTPbVtfNOVSPvVDXym3cO8Ot/HsCo15IaZyI93kx6gpkRFqNcaBVkJOQvQLdX4S+767gmI54Yk0HtcoTwqa9N0eLMRvKmj+bmqSOpabJzsNFOTZOdqoaeE7Vmo56xCWbGxpsZO8JMhNwvIeBJyF+AnYdO0dDu5CcLAnMbUiG+KMygY3JyJJOTe3ZSbe1wc7DRzsEmOwdO2ig71gpAYkQoh085uCYjnuljojHqdWqWLS6ChPwFeOXjE1iMeq7LHKF2KUIMiqhwA9PHxDB9TAxeRaGhzcmBRjsHGm08v/0wz5QcItyg46r0WK4Zn8Cc8fFyr9oAISHvQ4fbw98r6rl56khCQ2QUI4KfVqNhZFQYI6PCuCYjnq9mj+SDmp7tj9/b38iWykYAxiWY+bcJCfzbhASmpUSrXLXoi4S8D//Yd5IOdze35SSrXYoQqgg36JmbOYK5mSNQFIVDzQ7erWrk3epGnttey+9KDhERqifRpCP7ky7Gj7D0OSCSlTpDT0Leh1d2nyA5KowZY2LULkUI1Wk0mp6VOPFm7stNw+bs4v0DzfyzqpE39pxg/0fH0Gk0pMabmJgUwcSkCCLkQixVScifR2O7k/cPNFFwbbpsSCaGLV+3LwTIsUYzIqQTjyGST+rb+aSundf21PHanjpGR4cxcWQkE5P6d69nMTAk5M+j6KNjeBW4LXuU2qUI4fe0Gg0psSZSYk3cMCmRRpurN/Df2tfAW/saeL28jrmZCcydMIIcaxR6udPVoJOQ78Nph5tnSg4xb+IIxiaY1S5HiICi0WgYERHKiIhQ5oxPoLXDTWV9Oy0dbp57v5bfbT1EZFgIV6bFctXYWK5KjyM93iQXYg0CCfk+PPXuQRxuDz+aP17tUoQIeFHhBq5MjyP/CmvvPP47VY3sqDnFm/saALCE6pmSHMmU5EjS482kxIaTEmsi3mLsc+uFC5lKGu4neyXkz+H46Q7++MERbp82inEj5A5QQgwkS2gIX5mSxFem9Nyv9lhLJx8caqb8eBt7T7Sxcfth3N3e3sdrNBAdbiDGZCAyLASzUd/734nWTowhWkwGPRGheiyhIUSF9zxG/lXQQ0L+HP7n7QOgge9fl6F2KUIENY1GgzU2HGuslTsu7znW1e3l6fdqaHG4OeVwY3N6cLg9OFweWjvcnGx34uzqxuXx4uzqpqtb+dLrhht0jIgIZWRkKJ/UtZMaZyLMcP7rXLKD9LywhPwXVDW088ru43w7N42RUWFqlyNEULmQ6RWAWLORWLORcRfw2G6vgsPtweb0YOvs4pTDTaPNycl2F7tqW9hecwoNkBwdxuSRPdNB0cNoDyoJ+c9pd3bxvRd3ExkWQsG16WqXI4S4ADqthojQkJ7N1L4wMPN0ezl6uoNDTQ6qG2y8ua+BN/c1MDo6jGkpMUwdFRn0V7JLyH/K0+3lP174mENNDv547wyiwofPX3ohgpVepyUtzkxanJnrMkfQ4nCz90Qbu4+e5tWyE/x1bx1Tk6OYkRpDluXL0z7BQEIeUBSFx1/bx7YDzTzxtSlcJTcGESIoxZgMXJMRz+xxcRw/3cm/jrSw51gbpUdP83aMgfvsZm7JGkm4IXiiMXh6cpG6ur388h/VvLDrKA9ek84dlw/v5VZCDAcajYbRn96v+SuTkyg71kr5kSZ+/MpeVv61kluyRnLn5VYmJ0cE/CqdYR3yB07aWFJcRsWJdu6cMVrWxAsxDIWG6JiZFsuDlxlxhCfy4odHebn0OJt2HWVcgplbLhvJLVkjSYk1qV3qRfEZ8l6vl+XLl1NdXY3BYGDlypWkpKT0thcXF7N582b0ej0FBQXMmTOHlpYWli5ditPpJCEhgdWrVxMWFnbOx6rhyCkHxf86xu+31WIy6Hj6rhxumCw36BZiONNoNFw+JobLx8Tw+IJJvFZex+tldax9ez9r397PuAQz146P59rxCeRYo30uyfQXPkN+y5YtuN1uioqKKCsrY82aNfz2t78FoKmpicLCQl5++WVcLhf5+flcffXVrF+/ngULFrBw4UKeeeYZioqKuOmmm875WINh8E9wtju7+KSunX2f7qHxYW0LGg3cMCmR/7p1EgmW0EGvQQgROCLDQ1g8M4XFM1M40drJ3/fW8151E3/YcYTfb6tFp9WQMcJC1uhIMkZYSI0zkRpnIjEy1O/unuUz5EtLS8nNzQUgKyuLioqK3rby8nKys7MxGAwYDAasVitVVVWUlpbywAMPADB79mzWrVvH6NGjz/nYqVOnDkhH3iiv4+MjrXR2ddPp9nC6o4tmu4tmu4uT7a7ex6XFmfjh/PEszEkmKVLWwQshzi85Koz7ctO4LzcNh8vDrtpT7D7aStmxVv62t4EXPzx21uOjwkOIMxuJ/vTKW3NoCOEhOgx6LUa9lhC9Fr1Wg06rQafR9O5wm22N4qr0gV/04TPk7XY7ZvNnG3TpdDo8Hg96vR673Y7F8tll/yaTCbvdftZxk8mEzWbr87HnUlpa2u+OJAE3jfz8ER0Q/ul/X9RG3cE26vr9Luc3Xt8xwK84dMaP0gNNapdxSQK9D1K/ujo6Lix7IoFrY+HaWD1kxV7AK3s//c+H1jZKS49cwOv1j8+QN5vNOByO3u+9Xi96vf6cbQ6HA4vF0ns8NDQUh8NBREREn4/9omnTpl1Sh4QQQnzG52bOOTk5lJSUAFBWVkZGxmf7uUydOpXS0lJcLhc2m42amhoyMjLIyclh69atAJSUlDBt2rQ+HyuEEGLwaBRFOe9lXmdW1+zfvx9FUVi1ahUlJSVYrVbmzp1LcXExRUVFKIrCAw88wPz582lubmbZsmU4HA6io6NZu3Yt4eHh53ysEEKIweMz5MX5+Vpi6m/27NnDL3/5SwoLCzly5Ag//vGP0Wg0jBs3jscffxytVstvfvMb3nvvPfR6PY8++uiAnRy/VF1dXTz66KOcOHECt9tNQUEBY8eODZg+dHd385Of/ITa2lp0Oh2rV69GUZSAqf+MU6dOsXDhQp577jn0en3A1f/Vr361d6p41KhR3HHHHfz3f/83Op2OWbNm8dBDDwXc5/q8FHFJ3nrrLWXZsmWKoijK7t27lQcffFDlivr2zDPPKAsWLFC+/vWvK4qiKA888ICyc+dORVEU5ac//anyj3/8Q6moqFAWL16seL1e5cSJE8rChQvVLPksL730krJy5UpFURSlpaVFueaaawKqD2+//bby4x//WFEURdm5c6fy4IMPBlT9iqIobrdb+c53vqNcf/31ysGDBwOufqfTqdx6661nHbvllluUI0eOKF6vV7nvvvuUioqKgPpc+yI3WLxE51ti6m+sVitPPvlk7/f79u1jxowZQM9S1x07dlBaWsqsWbPQaDSMHDmS7u5uWlpa1Cr5LDfccAP/+Z//2fu9TqcLqD5cd911/OxnPwOgrq6OuLi4gKof4IknnmDRokUkJCQAgfc7VFVVRWdnJ/feey933303H330EW63G6vVikajYdasWXzwwQcB9bn2RUL+EvW1xNQfzZ8/v3dlFPRszHZmX47PL3X9fH/OHPcHJpMJs9mM3W7ne9/7Ht///vcDrg96vZ5ly5bxs5/9jPnz5wdU/a+88goxMTG94QeB9zsUGhrKt771LTZs2MB//dd/8cgjjxAW9tn1Mn31wZ8/175IyF+i8y0x9Xda7Wc//v4udVVLfX09d999N7feeis333xzQPbhiSee4K233uKnP/0pLtdnF+r5e/0vv/wyO3bsYPHixVRWVrJs2bKzRuj+Xj9Aamoqt9xyCxqNhtTUVCwWC62trb3tffUhkD7XXyQhf4nOt8TU302cOJFdu3YBPUtdp0+fTk5ODu+//z5er5e6ujq8Xi8xMTEqV9qjubmZe++9lx/+8IfcfvvtQGD14dVXX+V3v/sdAGFhYWg0GiZPnhww9b/wwgv86U9/orCwkMzMTJ544glmz54dMPUDvPTSS6xZswaAkydP0tnZSXh4OEePHkVRFN5///3ePgTq5/qLAvNPkx+ZN28e27dvZ9GiRb1LTAPFsmXL+OlPf8q6detIS0tj/vz56HQ6pk+fzh133IHX6+Wxxx5Tu8xeTz/9NO3t7axfv57169cD8P/+3/9j5cqVAdGH66+/nkceeYRvfOMbeDweHn30UdLT0wPqZ/BFgfY7dPvtt/PII49w5513otFoWLVqFVqtlqVLl9Ld3c2sWbO47LLLmDJlSsB+rr9IllAKIUQQk+kaIYQIYhLyQggRxCTkhRAiiEnICyFEEJOQF0KIICYhL4QQQUxCXgghgpiEvBBCBLH/D4KJixZkyLn0AAAAAElFTkSuQmCC
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<p>From the plot above, we can see that the bulk of the talks have fewer than 500 comments. This clearly suggests that the mean obtained above has been heavily influenced by outliers. This is possible because the number of samples is only 2550 talks.</p>
<p>Another question emerges that if the number of views is correlated with the number of comments then as more popular the videos tend to be then do they have more comments?</p>

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<div class="prompt input_prompt">In&nbsp;[16]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">jointplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s1">&#39;views&#39;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s1">&#39;comments&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">df</span><span class="p">)</span>
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<pre>&lt;seaborn.axisgrid.JointGrid at 0x15771a90&gt;</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[[</span><span class="s1">&#39;views&#39;</span><span class="p">,</span> <span class="s1">&#39;comments&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">corr</span><span class="p">()</span>
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      <th>views</th>
      <th>comments</th>
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      <th>views</th>
      <td>1.000000</td>
      <td>0.530939</td>
    </tr>
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      <th>comments</th>
      <td>0.530939</td>
      <td>1.000000</td>
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<p>As the scatterplot and the correlation matrix show, the pearson coefficient is slightly more than 0.5. This suggests a medium to strong correlation between the two quantities. This result was pretty expected as mentioned above. Let us now check the number of views and comments on the 10 most commented TED Talks of all time.</p>

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<div class="prompt input_prompt">In&nbsp;[18]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[[</span><span class="s1">&#39;title&#39;</span><span class="p">,</span> <span class="s1">&#39;main_speaker&#39;</span><span class="p">,</span> <span class="s1">&#39;views&#39;</span><span class="p">,</span> <span class="s1">&#39;comments&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;comments&#39;</span><span class="p">,</span> <span class="n">ascending</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>title</th>
      <th>main_speaker</th>
      <th>views</th>
      <th>comments</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>96</th>
      <td>Militant atheism</td>
      <td>Richard Dawkins</td>
      <td>4374792</td>
      <td>6404</td>
    </tr>
    <tr>
      <th>0</th>
      <td>Do schools kill creativity?</td>
      <td>Ken Robinson</td>
      <td>47227110</td>
      <td>4553</td>
    </tr>
    <tr>
      <th>644</th>
      <td>Science can answer moral questions</td>
      <td>Sam Harris</td>
      <td>3433437</td>
      <td>3356</td>
    </tr>
    <tr>
      <th>201</th>
      <td>My stroke of insight</td>
      <td>Jill Bolte Taylor</td>
      <td>21190883</td>
      <td>2877</td>
    </tr>
    <tr>
      <th>1787</th>
      <td>How do you explain consciousness?</td>
      <td>David Chalmers</td>
      <td>2162764</td>
      <td>2673</td>
    </tr>
    <tr>
      <th>954</th>
      <td>Taking imagination seriously</td>
      <td>Janet Echelman</td>
      <td>1832930</td>
      <td>2492</td>
    </tr>
    <tr>
      <th>840</th>
      <td>On reading the Koran</td>
      <td>Lesley Hazleton</td>
      <td>1847256</td>
      <td>2374</td>
    </tr>
    <tr>
      <th>1346</th>
      <td>Your body language may shape who you are</td>
      <td>Amy Cuddy</td>
      <td>43155405</td>
      <td>2290</td>
    </tr>
    <tr>
      <th>661</th>
      <td>The danger of science denial</td>
      <td>Michael Specter</td>
      <td>1838628</td>
      <td>2272</td>
    </tr>
    <tr>
      <th>677</th>
      <td>How great leaders inspire action</td>
      <td>Simon Sinek</td>
      <td>34309432</td>
      <td>1930</td>
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<p>As we can see, Richard Dawkins'talk on Militant Atheism generated the greatest amount of discussion and opinions despite having significantly lesser views than Ken Robinson's talk, which is second in the list.</p>
<p>So, Which talks tend to attract the largest amount of discussion?</p>
<p>To answer this question, lets define a new feature discussion quotient which is simply the ratio of the number of comments to the number of views. We will then check which talks have the largest discussion quotient.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;dis_quo&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;comments&#39;</span><span class="p">]</span><span class="o">/</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;views&#39;</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[[</span><span class="s1">&#39;title&#39;</span><span class="p">,</span> <span class="s1">&#39;main_speaker&#39;</span><span class="p">,</span> <span class="s1">&#39;views&#39;</span><span class="p">,</span> <span class="s1">&#39;comments&#39;</span><span class="p">,</span> <span class="s1">&#39;dis_quo&#39;</span><span class="p">,</span> <span class="s1">&#39;film_date&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;dis_quo&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
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      <th></th>
      <th>title</th>
      <th>main_speaker</th>
      <th>views</th>
      <th>comments</th>
      <th>dis_quo</th>
      <th>film_date</th>
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      <th>744</th>
      <td>The case for same-sex marriage</td>
      <td>Diane J. Savino</td>
      <td>292395</td>
      <td>649</td>
      <td>0.002220</td>
      <td>02-12-2009</td>
    </tr>
    <tr>
      <th>803</th>
      <td>E-voting without fraud</td>
      <td>David Bismark</td>
      <td>543551</td>
      <td>834</td>
      <td>0.001534</td>
      <td>14-07-2010</td>
    </tr>
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      <th>96</th>
      <td>Militant atheism</td>
      <td>Richard Dawkins</td>
      <td>4374792</td>
      <td>6404</td>
      <td>0.001464</td>
      <td>02-02-2002</td>
    </tr>
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      <th>694</th>
      <td>Inside a school for suicide bombers</td>
      <td>Sharmeen Obaid-Chinoy</td>
      <td>1057238</td>
      <td>1502</td>
      <td>0.001421</td>
      <td>10-02-2010</td>
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      <th>954</th>
      <td>Taking imagination seriously</td>
      <td>Janet Echelman</td>
      <td>1832930</td>
      <td>2492</td>
      <td>0.001360</td>
      <td>03-03-2011</td>
    </tr>
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      <th>840</th>
      <td>On reading the Koran</td>
      <td>Lesley Hazleton</td>
      <td>1847256</td>
      <td>2374</td>
      <td>0.001285</td>
      <td>10-10-2010</td>
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      <th>876</th>
      <td>Curating humanity's heritage</td>
      <td>Elizabeth Lindsey</td>
      <td>439180</td>
      <td>555</td>
      <td>0.001264</td>
      <td>08-12-2010</td>
    </tr>
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      <th>1787</th>
      <td>How do you explain consciousness?</td>
      <td>David Chalmers</td>
      <td>2162764</td>
      <td>2673</td>
      <td>0.001236</td>
      <td>18-03-2014</td>
    </tr>
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      <th>661</th>
      <td>The danger of science denial</td>
      <td>Michael Specter</td>
      <td>1838628</td>
      <td>2272</td>
      <td>0.001236</td>
      <td>11-02-2010</td>
    </tr>
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      <th>561</th>
      <td>Dance to change the world</td>
      <td>Mallika Sarabhai</td>
      <td>481834</td>
      <td>595</td>
      <td>0.001235</td>
      <td>04-11-2009</td>
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<p>As we can see, the discussion quotient for <strong>The Case for Same Sex Marriage</strong> is 0.00222 which has relatively less views and comments as compared to Militant atheism which is highest number of comments.</p>
<h3 id="Ananlysing-TED-Talks-by-the-month-and-the-year">Ananlysing TED Talks by the month and the year<a class="anchor-link" href="#Ananlysing-TED-Talks-by-the-month-and-the-year">&#182;</a></h3><p>TED (especially TEDx) Talks tend to occur all throughout the year. Is there a hot month as far is TED is concerned? In other words, how are the talks distributed throughout the months since its inception? Let us find out.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;month&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;film_date&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">month_order</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;-&#39;</span><span class="p">)[</span><span class="mi">1</span><span class="p">])</span> <span class="o">-</span> <span class="mi">1</span><span class="p">])</span>
<span class="n">month_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;month&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">())</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
<span class="n">month_df</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;month&#39;</span><span class="p">,</span> <span class="s1">&#39;talks&#39;</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">barplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s1">&#39;month&#39;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s1">&#39;talks&#39;</span><span class="p">,</span> <span class="n">data</span> <span class="o">=</span> <span class="n">month_df</span><span class="p">,</span> <span class="n">order</span> <span class="o">=</span> <span class="n">month_order</span><span class="p">)</span>
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<p>February is clearly the most popular month for TED Conferences wheresas August and January are the least popular. February's popularity is largely due to the official TED Conferences which are held in this month. Let us check the distribution for TEDx talks only.</p>

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<div class="prompt input_prompt">In&nbsp;[23]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_x</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;event&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">contains</span><span class="p">(</span><span class="s1">&#39;TEDx&#39;</span><span class="p">)]</span>
<span class="n">x_month_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">df_x</span><span class="p">[</span><span class="s1">&#39;month&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span><span class="o">.</span><span class="n">reset_index</span><span class="p">())</span>
<span class="n">x_month_df</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;month&#39;</span><span class="p">,</span> <span class="s1">&#39;talks&#39;</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">barplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s1">&#39;month&#39;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s1">&#39;talks&#39;</span><span class="p">,</span><span class="n">data</span> <span class="o">=</span> <span class="n">x_month_df</span><span class="p">,</span> <span class="n">order</span> <span class="o">=</span> <span class="n">month_order</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x15b0d5b0&gt;</pre>
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<p>As far as TEDx talks are concerned, <strong>November</strong> is the most popular month. However, we cannot take this result at face value as very few of the TEDx talks are actually uploaded to the TED website and therefore, it is entirely possible that the sample in our dataset is not at all representative of all TEDx talks. A slightly more accurate statement would be that <strong>the most popular TEDx talks take place the most in October and November</strong>.</p>
<p>The next question that arises is the most popular days for conducting TED and TEDx conferences. The tools applied are very sensible to the procedure applied for months.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">getday</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
    <span class="n">day</span><span class="p">,</span> <span class="n">month</span><span class="p">,</span> <span class="n">year</span> <span class="o">=</span> <span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">i</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">x</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;-&#39;</span><span class="p">))</span>
    <span class="n">answer</span> <span class="o">=</span> <span class="n">datetime</span><span class="o">.</span><span class="n">date</span><span class="p">(</span><span class="n">year</span><span class="p">,</span> <span class="n">month</span><span class="p">,</span> <span class="n">day</span><span class="p">)</span><span class="o">.</span><span class="n">weekday</span><span class="p">()</span>
    <span class="k">return</span> <span class="n">day_order</span><span class="p">[</span><span class="n">answer</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;day&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;film_date&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">getday</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">day_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;day&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">())</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
<span class="n">day_df</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;day&#39;</span><span class="p">,</span> <span class="s1">&#39;talks&#39;</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">barplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="s1">&#39;day&#39;</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span><span class="s1">&#39;talks&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">day_df</span><span class="p">,</span> <span class="n">order</span> <span class="o">=</span> <span class="n">day_order</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x15b6c770&gt;</pre>
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<p>The distribution of days is almost a bell curve with <strong>Wednesday and Thursday</strong> being the most popular days and Sunday being the least popular. This is pretty interesting because most TED Conferences would happen sometime in the weekend.</p>
<p>Let's visualize the number of TED talks through the years and check the integrity of our analysis.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;year&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;film_date&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;-&#39;</span><span class="p">)[</span><span class="mi">2</span><span class="p">])</span>
<span class="n">year_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;year&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span><span class="o">.</span><span class="n">reset_index</span><span class="p">())</span>
<span class="n">year_df</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;year&#39;</span><span class="p">,</span> <span class="s1">&#39;talks&#39;</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">18</span><span class="p">,</span><span class="mi">5</span><span class="p">))</span>
<span class="n">sns</span><span class="o">.</span><span class="n">pointplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="s1">&#39;year&#39;</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span><span class="s1">&#39;talks&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">year_df</span><span class="p">)</span>
</pre></div>

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<div class="prompt output_prompt">Out[30]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x16b81690&gt;</pre>
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<img 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<h3 id="Observations">Observations<a class="anchor-link" href="#Observations">&#182;</a></h3><ul>
<li>As expected, the number of TED Talks have gradually increased over the years since its inception in 1984</li>
<li>There was sharp increase in the number of talks in 2009. It might be interesting to know the reasons behind 2009 being the tipping point wher the number of talks increased more than twofold. </li>
<li>The number of talks have been pretty much constant since 2009.</li>
</ul>
<p>Finally, to put it all together, lets construct a heat map that shows the number of talks by month and year. This will give us a good summary of the distribution of talks.</p>
<h4 id="Heat-Map">Heat Map<a class="anchor-link" href="#Heat-Map">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">months</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;Jan&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s1">&#39;Feb&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;Mar&#39;</span><span class="p">:</span> <span class="mi">3</span><span class="p">,</span> <span class="s1">&#39;Apr&#39;</span><span class="p">:</span> <span class="mi">4</span><span class="p">,</span> <span class="s1">&#39;May&#39;</span><span class="p">:</span> <span class="mi">5</span><span class="p">,</span> <span class="s1">&#39;Jun&#39;</span><span class="p">:</span> <span class="mi">6</span><span class="p">,</span> 
         <span class="s1">&#39;Jul&#39;</span><span class="p">:</span> <span class="mi">7</span><span class="p">,</span> <span class="s1">&#39;Aug&#39;</span><span class="p">:</span> <span class="mi">8</span><span class="p">,</span> <span class="s1">&#39;Sep&#39;</span><span class="p">:</span> <span class="mi">9</span><span class="p">,</span> <span class="s1">&#39;Oct&#39;</span><span class="p">:</span> <span class="mi">10</span><span class="p">,</span> <span class="s1">&#39;Nov&#39;</span><span class="p">:</span> <span class="mi">11</span><span class="p">,</span> <span class="s1">&#39;Dec&#39;</span><span class="p">:</span> <span class="mi">12</span><span class="p">}</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">hmap_df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
<span class="n">hmap_df</span><span class="p">[</span><span class="s1">&#39;film_date&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">hmap_df</span><span class="p">[</span><span class="s1">&#39;film_date&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">month_order</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;-&#39;</span><span class="p">)[</span><span class="mi">1</span><span class="p">])</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="s2">&quot; &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;-&#39;</span><span class="p">)[</span><span class="mi">2</span><span class="p">]))</span>
<span class="n">hmap_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">pivot_table</span><span class="p">(</span><span class="n">hmap_df</span><span class="p">[[</span><span class="s1">&#39;film_date&#39;</span><span class="p">,</span> <span class="s1">&#39;title&#39;</span><span class="p">]],</span> <span class="n">index</span><span class="o">=</span><span class="s1">&#39;film_date&#39;</span><span class="p">,</span> <span class="n">aggfunc</span><span class="o">=</span><span class="s1">&#39;count&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
<span class="n">hmap_df</span><span class="p">[</span><span class="s1">&#39;month_num&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">hmap_df</span><span class="p">[</span><span class="s1">&#39;film_date&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">months</span><span class="p">[</span><span class="n">x</span><span class="o">.</span><span class="n">split</span><span class="p">()[</span><span class="mi">0</span><span class="p">]])</span>
<span class="n">hmap_df</span><span class="p">[</span><span class="s1">&#39;year&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">hmap_df</span><span class="p">[</span><span class="s1">&#39;film_date&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">split</span><span class="p">()[</span><span class="mi">1</span><span class="p">])</span>
<span class="n">hmap_df</span> <span class="o">=</span> <span class="n">hmap_df</span><span class="o">.</span><span class="n">sort_values</span><span class="p">([</span><span class="s1">&#39;year&#39;</span><span class="p">,</span> <span class="s1">&#39;month_num&#39;</span><span class="p">])</span>
<span class="n">hmap_df</span> <span class="o">=</span> <span class="n">hmap_df</span><span class="p">[[</span><span class="s1">&#39;month_num&#39;</span><span class="p">,</span> <span class="s1">&#39;year&#39;</span><span class="p">,</span> <span class="s1">&#39;title&#39;</span><span class="p">]]</span>
<span class="n">hmap_df</span> <span class="o">=</span> <span class="n">hmap_df</span><span class="o">.</span><span class="n">pivot</span><span class="p">(</span><span class="s1">&#39;month_num&#39;</span><span class="p">,</span> <span class="s1">&#39;year&#39;</span><span class="p">,</span> <span class="s1">&#39;title&#39;</span><span class="p">)</span>
<span class="n">hmap_df</span> <span class="o">=</span> <span class="n">hmap_df</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">f</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span><span class="mi">8</span><span class="p">))</span>
<span class="n">sns</span><span class="o">.</span><span class="n">heatmap</span><span class="p">(</span><span class="n">hmap_df</span><span class="p">,</span> <span class="n">annot</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">linewidths</span><span class="o">=.</span><span class="mi">5</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">,</span> <span class="n">fmt</span><span class="o">=</span><span class="s1">&#39;n&#39;</span><span class="p">,</span> <span class="n">yticklabels</span><span class="o">=</span> <span class="n">month_order</span><span class="p">)</span>
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<h3 id="TED-Speakers">TED Speakers<a class="anchor-link" href="#TED-Speakers">&#182;</a></h3><p>In this section, we will check the most popular TED speakers and who has given the maximum number of talks</p>

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<div class="prompt input_prompt">In&nbsp;[34]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">speaker_df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;main_speaker&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">count</span><span class="p">()</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()[[</span><span class="s1">&#39;main_speaker&#39;</span><span class="p">,</span> <span class="s1">&#39;comments&#39;</span><span class="p">]]</span>
<span class="n">speaker_df</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;main_speaker&#39;</span><span class="p">,</span> <span class="s1">&#39;appearences&#39;</span><span class="p">]</span>
<span class="n">speaker_df</span> <span class="o">=</span> <span class="n">speaker_df</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;appearences&#39;</span><span class="p">,</span> <span class="n">ascending</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)</span>
<span class="n">speaker_df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
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<div class="prompt output_prompt">Out[34]:</div>


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      <th></th>
      <th>main_speaker</th>
      <th>appearences</th>
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    <tr>
      <th>770</th>
      <td>Hans Rosling</td>
      <td>9</td>
    </tr>
    <tr>
      <th>1066</th>
      <td>Juan Enriquez</td>
      <td>7</td>
    </tr>
    <tr>
      <th>1693</th>
      <td>Rives</td>
      <td>6</td>
    </tr>
    <tr>
      <th>1278</th>
      <td>Marco Tempest</td>
      <td>6</td>
    </tr>
    <tr>
      <th>397</th>
      <td>Clay Shirky</td>
      <td>5</td>
    </tr>
    <tr>
      <th>1487</th>
      <td>Nicholas Negroponte</td>
      <td>5</td>
    </tr>
    <tr>
      <th>1075</th>
      <td>Julian Treasure</td>
      <td>5</td>
    </tr>
    <tr>
      <th>424</th>
      <td>Dan Ariely</td>
      <td>5</td>
    </tr>
    <tr>
      <th>850</th>
      <td>Jacqueline Novogratz</td>
      <td>5</td>
    </tr>
    <tr>
      <th>248</th>
      <td>Bill Gates</td>
      <td>5</td>
    </tr>
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<p><strong>Hans Rosling</strong>, the Swiss Health Professor is clearly the most popular TED speaker, with 9 appearances on the TED Forum. Followed by Juan Enriquez with 7 appearances. Rives and Macro Tempest have graced the TED platform 6 times.</p>
<p>Let's check which occupation you should choose to become a TED speaker. Lets have a look at what kind of people TED is most interested in inviting to its events.</p>

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<div class="prompt input_prompt">In&nbsp;[35]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">occupation_df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;speaker_occupation&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">count</span><span class="p">()</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()[[</span><span class="s1">&#39;speaker_occupation&#39;</span><span class="p">,</span> <span class="s1">&#39;comments&#39;</span><span class="p">]]</span>
<span class="n">occupation_df</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;occupation&#39;</span><span class="p">,</span> <span class="s1">&#39;appearances&#39;</span><span class="p">]</span>
<span class="n">occupation_df</span> <span class="o">=</span> <span class="n">occupation_df</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;appearances&#39;</span><span class="p">,</span> <span class="n">ascending</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span><span class="mi">5</span><span class="p">))</span>
<span class="n">sns</span><span class="o">.</span><span class="n">barplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s1">&#39;occupation&#39;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s1">&#39;appearances&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">occupation_df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<h3 id="Observations">Observations<a class="anchor-link" href="#Observations">&#182;</a></h3><ul>
<li><strong>Writers</strong> are the most popular with more than 45 speakers identifying themselves as the aforementioned</li>
</ul>
<ul>
<li><strong>Artists</strong> and <strong>Designers</strong> come a distant second with around 35 speakers in each category.</li>
</ul>
<ul>
<li>This result must be taken with a pinch of salt as a considerable number of speakers identify themeselves with multiple professions (for example, writer/entrepreneur). Performing an analysis taking this intro consideration is left as an exercise to the reader.</li>
</ul>
<p>Do some professions tend to attract a larger number of viewers? Lets visualize the relationship the relationship between the top 10 most popular professions and the views that generate in the form of a box plot.</p>

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<div class="prompt input_prompt">In&nbsp;[37]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">nrows</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span> <span class="n">ncols</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span> <span class="o">=</span> <span class="p">(</span><span class="mi">15</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
<span class="n">sns</span><span class="o">.</span><span class="n">boxplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="s1">&#39;speaker_occupation&#39;</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="s1">&#39;views&#39;</span><span class="p">,</span> <span class="n">data</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;speaker_occupation&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">isin</span><span class="p">(</span><span class="n">occupation_df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)[</span><span class="s1">&#39;occupation&#39;</span><span class="p">])],</span> <span class="n">palette</span><span class="o">=</span><span class="s1">&#39;muted&#39;</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mf">0.4e7</span><span class="p">])</span>
</pre></div>

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<pre>(0, 4000000.0)</pre>
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<p>On average, out of the top 10 most popular professions, <strong>Psychologists</strong> tend to garner the most views. <strong>Writers</strong> have the greatest range of views between the first an the third quartile.</p>
<p>Finally, let us check the number of talks which have had more than one speaker.</p>

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<div class="prompt input_prompt">In&nbsp;[38]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;num_speaker&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>1    2492
2      49
3       5
4       3
5       1
Name: num_speaker, dtype: int64</pre>
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<p>Almost every talk has one speaker. There are close to 50 talks where two people shared the stage. The max number of speakers to share a single stage was 5. I suspect this was a dance performance. Lets have a look.</p>

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<div class="prompt input_prompt">In&nbsp;[39]:</div>
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      <th>2507</th>
      <td>A dance to honor Mother Earth</td>
      <td>Movement artists Jon Boogz and Lil Buck debut ...</td>
      <td>Jon Boogz and Lil Buck</td>
      <td>TED2017</td>
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<p>I was correct. It is a talk titled <strong>A dance to honor Mother Earth</strong> by Jon Boogz and Lil Buck at the TED 2017 COnference.</p>
<h3 id="TED-Events">TED Events<a class="anchor-link" href="#TED-Events">&#182;</a></h3><p>Which TED Events tend to hold the most number of TED.com upload worthy events? We will try to answer that question in this section.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">events_df</span> <span class="o">=</span> <span class="n">df</span><span class="p">[[</span><span class="s1">&#39;title&#39;</span><span class="p">,</span> <span class="s1">&#39;event&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;event&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">count</span><span class="p">()</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
<span class="n">events_df</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;event&#39;</span><span class="p">,</span> <span class="s1">&#39;talks&#39;</span><span class="p">]</span>
<span class="n">events_df</span> <span class="o">=</span> <span class="n">events_df</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;talks&#39;</span><span class="p">,</span> <span class="n">ascending</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)</span>
<span class="n">events_df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
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      <th>64</th>
      <td>TED2014</td>
      <td>84</td>
    </tr>
    <tr>
      <th>59</th>
      <td>TED2009</td>
      <td>83</td>
    </tr>
    <tr>
      <th>63</th>
      <td>TED2013</td>
      <td>77</td>
    </tr>
    <tr>
      <th>66</th>
      <td>TED2016</td>
      <td>77</td>
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    <tr>
      <th>65</th>
      <td>TED2015</td>
      <td>75</td>
    </tr>
    <tr>
      <th>99</th>
      <td>TEDGlobal 2012</td>
      <td>70</td>
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      <th>61</th>
      <td>TED2011</td>
      <td>70</td>
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      <th>60</th>
      <td>TED2010</td>
      <td>68</td>
    </tr>
    <tr>
      <th>98</th>
      <td>TEDGlobal 2011</td>
      <td>68</td>
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      <th>57</th>
      <td>TED2007</td>
      <td>68</td>
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<h3 id="TED-Languages">TED Languages<a class="anchor-link" href="#TED-Languages">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;languages&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
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<pre>count    2550.000000
mean       27.326275
std         9.563452
min         0.000000
25%        23.000000
50%        28.000000
75%        33.000000
max        72.000000
Name: languages, dtype: float64</pre>
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<p>On average, a TED talk is available in 27 different languages. The maximum number of languages a TED talk is available is a staggering 72. Let us check which talk this is.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;languages&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="mi">72</span><span class="p">]</span>
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<table border="1" class="dataframe">
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      <th></th>
      <th>name</th>
      <th>title</th>
      <th>description</th>
      <th>main_speaker</th>
      <th>speaker_occupation</th>
      <th>num_speaker</th>
      <th>duration</th>
      <th>event</th>
      <th>film_date</th>
      <th>published_date</th>
      <th>...</th>
      <th>tags</th>
      <th>languages</th>
      <th>ratings</th>
      <th>related_talks</th>
      <th>url</th>
      <th>views</th>
      <th>dis_quo</th>
      <th>month</th>
      <th>day</th>
      <th>year</th>
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      <th>973</th>
      <td>Matt Cutts: Try something new for 30 days</td>
      <td>Try something new for 30 days</td>
      <td>Is there something you've always meant to do, ...</td>
      <td>Matt Cutts</td>
      <td>Technologist</td>
      <td>1</td>
      <td>207</td>
      <td>TED2011</td>
      <td>03-03-2011</td>
      <td>01-07-2011</td>
      <td>...</td>
      <td>['culture', 'success']</td>
      <td>72</td>
      <td>[{'id': 10, 'name': 'Inspiring', 'count': 6171...</td>
      <td>[{'id': 947, 'hero': 'https://pe.tedcdn.com/im...</td>
      <td>https://www.ted.com/talks/matt_cutts_try_somet...</td>
      <td>8838874</td>
      <td>0.000083</td>
      <td>Mar</td>
      <td>Thu</td>
      <td>2011</td>
    </tr>
  </tbody>
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<p>1 rows × 21 columns</p>
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<p>The most translated TED talk of all time is <strong>Matt Cutts: Try something new for 30 days</strong>. The talk does have a very universal theme of exploration. The sheer number of languages it's available in demands a little more inspection though as it has just over 80 million views, far fewer than the most popular TED Talk.</p>
<p>Finally, let us check there is a correlation between the number of views and the number of languages a talk is available in. We would think that this should be the case since the talk is more accessible to a larger number of people but as Matt Cutt's talk shows, it may be not really be the case.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">jointplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span> <span class="s1">&#39;languages&#39;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s1">&#39;views&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">df</span><span class="p">)</span>
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<pre>&lt;seaborn.axisgrid.JointGrid at 0x16cae530&gt;</pre>
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<p>The pearson coefficient is 0.38 suggesting a medium correlation between the aforementioned quatities.</p>
<h3 id="TED-Themes">TED Themes<a class="anchor-link" href="#TED-Themes">&#182;</a></h3><p>In this section, we will try to find out the most popular themes in the TED conferences. Although TED started out as a conference about technology, entertainment and design, it has since diversified into virtually every field of study and walk of life. It will be interesting to see if this conference with Silicon Valley origins has a bias towards certain topics.</p>
<p>To answer this question, we need to wrangle our data in a way that it is suitable for analysis. More specifically, we need to split the related_tags list into separate rows.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">ast</span>
<span class="n">df</span><span class="p">[</span><span class="s1">&#39;tags&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;tags&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">ast</span><span class="o">.</span><span class="n">literal_eval</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">s</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="s1">&#39;tags&#39;</span><span class="p">]),</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">stack</span><span class="p">()</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">s</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">&#39;theme&#39;</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">theme_df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">&#39;tags&#39;</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">s</span><span class="p">)</span>
<span class="n">theme_df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<table border="1" class="dataframe">
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    <tr style="text-align: right;">
      <th></th>
      <th>name</th>
      <th>title</th>
      <th>description</th>
      <th>main_speaker</th>
      <th>speaker_occupation</th>
      <th>num_speaker</th>
      <th>duration</th>
      <th>event</th>
      <th>film_date</th>
      <th>published_date</th>
      <th>...</th>
      <th>languages</th>
      <th>ratings</th>
      <th>related_talks</th>
      <th>url</th>
      <th>views</th>
      <th>dis_quo</th>
      <th>month</th>
      <th>day</th>
      <th>year</th>
      <th>theme</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>Ken Robinson: Do schools kill creativity?</td>
      <td>Do schools kill creativity?</td>
      <td>Sir Ken Robinson makes an entertaining and pro...</td>
      <td>Ken Robinson</td>
      <td>Author/educator</td>
      <td>1</td>
      <td>1164</td>
      <td>TED2006</td>
      <td>25-02-2006</td>
      <td>27-06-2006</td>
      <td>...</td>
      <td>60</td>
      <td>[{'id': 7, 'name': 'Funny', 'count': 19645}, {...</td>
      <td>[{'id': 865, 'hero': 'https://pe.tedcdn.com/im...</td>
      <td>https://www.ted.com/talks/ken_robinson_says_sc...</td>
      <td>47227110</td>
      <td>0.000096</td>
      <td>Feb</td>
      <td>Sat</td>
      <td>2006</td>
      <td>children</td>
    </tr>
    <tr>
      <th>0</th>
      <td>Ken Robinson: Do schools kill creativity?</td>
      <td>Do schools kill creativity?</td>
      <td>Sir Ken Robinson makes an entertaining and pro...</td>
      <td>Ken Robinson</td>
      <td>Author/educator</td>
      <td>1</td>
      <td>1164</td>
      <td>TED2006</td>
      <td>25-02-2006</td>
      <td>27-06-2006</td>
      <td>...</td>
      <td>60</td>
      <td>[{'id': 7, 'name': 'Funny', 'count': 19645}, {...</td>
      <td>[{'id': 865, 'hero': 'https://pe.tedcdn.com/im...</td>
      <td>https://www.ted.com/talks/ken_robinson_says_sc...</td>
      <td>47227110</td>
      <td>0.000096</td>
      <td>Feb</td>
      <td>Sat</td>
      <td>2006</td>
      <td>creativity</td>
    </tr>
    <tr>
      <th>0</th>
      <td>Ken Robinson: Do schools kill creativity?</td>
      <td>Do schools kill creativity?</td>
      <td>Sir Ken Robinson makes an entertaining and pro...</td>
      <td>Ken Robinson</td>
      <td>Author/educator</td>
      <td>1</td>
      <td>1164</td>
      <td>TED2006</td>
      <td>25-02-2006</td>
      <td>27-06-2006</td>
      <td>...</td>
      <td>60</td>
      <td>[{'id': 7, 'name': 'Funny', 'count': 19645}, {...</td>
      <td>[{'id': 865, 'hero': 'https://pe.tedcdn.com/im...</td>
      <td>https://www.ted.com/talks/ken_robinson_says_sc...</td>
      <td>47227110</td>
      <td>0.000096</td>
      <td>Feb</td>
      <td>Sat</td>
      <td>2006</td>
      <td>culture</td>
    </tr>
    <tr>
      <th>0</th>
      <td>Ken Robinson: Do schools kill creativity?</td>
      <td>Do schools kill creativity?</td>
      <td>Sir Ken Robinson makes an entertaining and pro...</td>
      <td>Ken Robinson</td>
      <td>Author/educator</td>
      <td>1</td>
      <td>1164</td>
      <td>TED2006</td>
      <td>25-02-2006</td>
      <td>27-06-2006</td>
      <td>...</td>
      <td>60</td>
      <td>[{'id': 7, 'name': 'Funny', 'count': 19645}, {...</td>
      <td>[{'id': 865, 'hero': 'https://pe.tedcdn.com/im...</td>
      <td>https://www.ted.com/talks/ken_robinson_says_sc...</td>
      <td>47227110</td>
      <td>0.000096</td>
      <td>Feb</td>
      <td>Sat</td>
      <td>2006</td>
      <td>dance</td>
    </tr>
    <tr>
      <th>0</th>
      <td>Ken Robinson: Do schools kill creativity?</td>
      <td>Do schools kill creativity?</td>
      <td>Sir Ken Robinson makes an entertaining and pro...</td>
      <td>Ken Robinson</td>
      <td>Author/educator</td>
      <td>1</td>
      <td>1164</td>
      <td>TED2006</td>
      <td>25-02-2006</td>
      <td>27-06-2006</td>
      <td>...</td>
      <td>60</td>
      <td>[{'id': 7, 'name': 'Funny', 'count': 19645}, {...</td>
      <td>[{'id': 865, 'hero': 'https://pe.tedcdn.com/im...</td>
      <td>https://www.ted.com/talks/ken_robinson_says_sc...</td>
      <td>47227110</td>
      <td>0.000096</td>
      <td>Feb</td>
      <td>Sat</td>
      <td>2006</td>
      <td>education</td>
    </tr>
  </tbody>
</table>
<p>5 rows × 21 columns</p>
</div>
</div>

</div>

</div>
</div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">len</span><span class="p">(</span><span class="n">theme_df</span><span class="p">[</span><span class="s1">&#39;theme&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">())</span>
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<pre>416</pre>
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<p>TED defines a staggering <strong>416 different categories</strong> for its talks. Let us now check the most popular themes.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pop_themes</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">theme_df</span><span class="p">[</span><span class="s1">&#39;theme&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">())</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
<span class="n">pop_themes</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;theme&#39;</span><span class="p">,</span> <span class="s1">&#39;talks&#39;</span><span class="p">]</span>
<span class="n">pop_themes</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
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<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>theme</th>
      <th>talks</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>technology</td>
      <td>727</td>
    </tr>
    <tr>
      <th>1</th>
      <td>science</td>
      <td>567</td>
    </tr>
    <tr>
      <th>2</th>
      <td>global issues</td>
      <td>501</td>
    </tr>
    <tr>
      <th>3</th>
      <td>culture</td>
      <td>486</td>
    </tr>
    <tr>
      <th>4</th>
      <td>TEDx</td>
      <td>450</td>
    </tr>
    <tr>
      <th>5</th>
      <td>design</td>
      <td>418</td>
    </tr>
    <tr>
      <th>6</th>
      <td>business</td>
      <td>348</td>
    </tr>
    <tr>
      <th>7</th>
      <td>entertainment</td>
      <td>299</td>
    </tr>
    <tr>
      <th>8</th>
      <td>health</td>
      <td>236</td>
    </tr>
    <tr>
      <th>9</th>
      <td>innovation</td>
      <td>229</td>
    </tr>
  </tbody>
</table>
</div>
</div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span> <span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span><span class="mi">5</span><span class="p">))</span>
<span class="n">sns</span><span class="o">.</span><span class="n">barplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s1">&#39;theme&#39;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s1">&#39;talks&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">pop_themes</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">))</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x17001c90&gt;</pre>
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<p>As may have been expected, Technology is the most popular topic for talks. The other two original factions, Design and Entertainment, also make it to the list of top 10 themes. Science and Global Issues are the second and the third most popular themes respectively.</p>
<p>The next question arises is the trends in the share of topics of TED Talks across the world. Has the demand for Technology talks increased? Do certain years have a disproportionate  share of talks related to global issues? Let's find out!</p>
<p>We will only consider the top 7 themes, excluding TEDx and talks after 2009, the year when the number of TED talks really peaked.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pop_theme_talks</span> <span class="o">=</span> <span class="n">theme_df</span><span class="p">[(</span><span class="n">theme_df</span><span class="p">[</span><span class="s1">&#39;theme&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">isin</span><span class="p">(</span><span class="n">pop_themes</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">8</span><span class="p">)[</span><span class="s1">&#39;theme&#39;</span><span class="p">]))</span> <span class="o">&amp;</span> 
                          <span class="p">(</span><span class="n">theme_df</span><span class="p">[</span><span class="s1">&#39;theme&#39;</span><span class="p">]</span> <span class="o">!=</span> <span class="s1">&#39;TEDx&#39;</span><span class="p">)]</span>
<span class="n">pop_theme_talks</span><span class="p">[</span><span class="s1">&#39;year&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pop_theme_talks</span><span class="p">[</span><span class="s1">&#39;year&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">&#39;int&#39;</span><span class="p">)</span>
<span class="n">pop_theme_talks</span> <span class="o">=</span> <span class="n">pop_theme_talks</span><span class="p">[</span><span class="n">pop_theme_talks</span><span class="p">[</span><span class="s1">&#39;year&#39;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">2008</span><span class="p">]</span>
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<pre>c:\users\arnab tarwani\appdata\local\programs\python\python36-32\lib\site-packages\ipykernel_launcher.py:3: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
  This is separate from the ipykernel package so we can avoid doing imports until
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">themes</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">pop_themes</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">8</span><span class="p">)[</span><span class="s1">&#39;theme&#39;</span><span class="p">])</span>
<span class="n">themes</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="s1">&#39;TEDx&#39;</span><span class="p">)</span>
<span class="n">ctab</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">crosstab</span><span class="p">([</span><span class="n">pop_theme_talks</span><span class="p">[</span><span class="s1">&#39;year&#39;</span><span class="p">]],</span> <span class="n">pop_theme_talks</span><span class="p">[</span><span class="s1">&#39;theme&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span>
<span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">/</span><span class="n">x</span><span class="o">.</span><span class="n">sum</span><span class="p">(),</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">ctab</span><span class="p">[</span><span class="n">themes</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">&#39;bar&#39;</span><span class="p">,</span> <span class="n">stacked</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">colormap</span><span class="o">=</span><span class="s1">&#39;rainbow&#39;</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span><span class="mi">8</span><span class="p">))</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s1">&#39;center left&#39;</span><span class="p">,</span> <span class="n">bbox_to_anchor</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">))</span>
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<pre>&lt;matplotlib.legend.Legend at 0x179b6090&gt;</pre>
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dWAAQMuO7fMbrdrwoQJmjVrlpYuXarq1au77mMMAAAAAIUpdIUkPT1dTZs2lSRFRUVpx44drm3ffvutIiMjNW7cOB06dEidOnVyPekRAAAA8DZ3jMxx6/G2J5Z2y3F2796t9evXq3fv3m453o2k0EJit9tdj5uXJD8/P+Xn58tmsykrK0ubN2/WypUrVbZsWXXv3l1RUVGqXbt2gePs3r37+qetd/2HcDe3fC5PICtryMkaL8xJIiurvDKn3zyEy1t4ZU4SWVlFTtZ4YU6Sl2ZVxOrVq6d69bzw/0SKQKGFJCgoSNnZ2a6vHQ6HbLZf3hYSEqI77rhDVapUkfTL4+Z37959xULinoAz3XAM9/LeHxyysoacrPG+nCSyssorc8okJ8vIyhpyssYLc5Lcl1V6erpbjuNuP/zwg4YMGSKbzSY/Pz+NHz9eb7/9trZt26aLFy+qT58+Cg4O1pIlSzR58mStXbtWCxYskK+vr2JiYjRw4EBNnTpVhw8f1qlTp3TkyBENGTJETZs21SeffKJp06ZJ+uV67sTERG3ZskWTJ0+Wn5+fatasqaSkJPn7+xtO4Y8Veg1JdHS00tLSJElbt25VZGSka9vtt9+ujIwMnT59Wvn5+fruu+906623em5aAAAA4Abz+eefq0GDBpo/f7569uyp5cuXKysrS8uXL9fcuXO1fft2175nzpzR1KlTtWDBAi1evFjHjh1zPbk9ICBAc+fO1bBhw7RgwQLl5+fr9ddf1+zZs/Wvf/1LVatW1dGjRzV8+HBNmzZNixYtUtWqVfX++++b+uiWFLpC0qZNG23atEldunSR0+lUcnKy5s+fr7CwMLVu3VoDBgzQs88+K0l64IEHLissAAAAQEnXsWNHzZkzR88++6yCg4N15513KioqStIvDyns16+fNm/eLEn68ccfdfr0aT333HOSpOzsbB06dEjS/1aSbr75ZuXl5SkrK0vlypVTpUqVJEm9e/fWqVOndPz4cfXt21eSlJOToyZNmhTp571ahRYSX19fJSUlXfZaRESE68/t27dX+/bt3T8ZAAAAUAysX79eMTEx6t27tz788ENNmjRJ0dHRkqRz586pb9++rgJSo0YNhYaGat68efL399eKFStUr149rVu3rsCjNSpVqqSzZ8/qzJkzCgkJ0ahRo/TQQw/p5ptv1owZMxQcHKz169erbNmyRf6Zr0ahhQQAAADAtbv99tv1yiuvaOrUqfL19dWUKVP0/vvvq2vXrrp06ZJefPFF174VK1bUk08+qfj4eF26dEnVq1dX27Ztr3hcX19fjRw5Us8//7x8fX1Vv3593XHHHRo2bJiee+45OZ1OBQYGavz48UX1Ua8JhQQAAAAlhrtu03s1wsLClJqaetlrt99+e4H9GjVqJEl6+OGH9fDDD1+2rU+fPq4/R0REKCUlRZLUvHlzNW/e/LJ97733Xt17771umb0oFHpROwAAAAB4CoUEAAAAgDEUEgAAAADGcA0JgEKlZnrhw70kjQg3PQEAALherJAAAAAAMIZCAgAAAMAYTtkCAABAidEgM9Otx9sZfm3nD8fHxyshIeGyB47/VqtWrbR27VqVKlXqmo41evRoPfXUU6pWrdo1zVeUKCQAAABAMTNs2DDTI1hGIQEAAAA8JCcnR6+++qqOHz+u0NBQff3119q4caNr+9mzZ/XKK6/Ibrfr0qVLevnll/W3v/1NkjRixAj99NNPqlSpksaNG6f8/HwNGzZM586dU1ZWljp16qRu3bpd8fv+umpy5swZjRs3TjabTeXKldPEiRN14sQJDRkyRDabTX5+fho/frwOHDigJUuWaPLkyZKkJk2aaNOmTTp69KiGDx+u3NxclSpVSq+//roqVqyol19+WXa7XTk5OXrllVdcD3W8FhQSAAAAwENSU1NVo0YNTZkyRfv379eDDz542faZM2eqcePG6tGjh44dO6auXbtq3bp1kqSuXbsqKipK48eP19KlSxUTE6P27dvr73//u44dO6b4+Pg/LCS/Wrdundq0aaNnnnlGGzZs0NmzZ/X555+rQYMGGjx4sLZs2aKff/75D98/btw4xcfHq3nz5vriiy80ceJE9ezZUydPntSCBQt06tQpHThw4Loy4qJ2AAAAwEP279+v6OhoSVJERIQqVqxYYPvdd98tSapataqCgoJ0+vRp+fv7KyoqSpIUHR2tH374QZUrV9a6des0cOBAzZw5U/n5+YV+/549e+r06dPq0aOHPvroI9lsNnXs2FEVKlTQs88+q3fffVd+fn4F3ud0OiVJGRkZevvttxUfH6/p06fr9OnTqlOnjrp3767+/fsrMTFRDofjujKikAAAAAAeEhkZqW+//VaS9OOPPyorK+uy7REREdqyZYsk6dixYzp79qxCQkJ08eJF7d69W5K0ZcsW1alTR/PmzVNUVJQmTpyoBx54wFUa/szq1av16KOPKiUlRXXq1NHSpUu1fv16xcTEaOHChXrggQc0d+5clSpVSidOnJAk/fTTT65Vk/DwcA0cOFApKSlKTEzU/fffr7179yo7O1uzZ8/W2LFj9frrr19XRpyyBQAAAHhIx44dNXjwYHXv3l3VqlUrcNes559/XkOHDtXHH3+snJwcJSUlyWazyd/fXykpKTp48KCqVaumAQMGKD09XQkJCVq9erVCQkLk5+envLy8P/3+d9xxhwYPHqyyZcvK399fSUlJcjqdeuWVVzR16lT5+vpqyJAhqlu3roKDg9WpUydFRESoRo0akqRBgwYpISFBubm5ysnJ0bBhw1SrVi1Nnz5dK1eulL+/v1566aXryohCAgAAgBLjWm/Te6127dqljh076t5779WBAwdcqyUpKSmufWbMmFHgfR9//HGB1/7617/qo48+KvD6b491pddWrFhRYHtqamqB12bOnFngtZo1a+qdd94p8PqUKVMKvHatKCQAAACAh9SsWVP9+/fXtGnTlJ+frxEjRpgeyevcUIUkNbOe6REKGFG0JRsAAAA3kCpVqlxxBQP/w0XtAAAAAIyhkAAAAAAwhkICAAAAwBgKCQAAAABjbqiL2gEAAIDrkaQ1bj3eCLV327Hi4+OVkJCgSpUq6bPPPlNsbKzbju3NWCEBAAAAvMjevXu1YcMG02MUGVZIUKJxK2kAAOBpOTk5GjJkiI4cOaKLFy/q/vvv17lz5zRw4EDl5uaqbdu2lxWQWbNmac+ePUpNTdW3336rdu3aqVmzZkpLS9O///1vjR07Vi1btlR4eLjCw8P19NNPa/jw4crNzVWpUqX0+uuvKzQ01OAnvjoUEgAAAMCDlixZourVq2vy5MnKyMjQ559/rnPnzv3h/j179tSSJUvUuXNn15Pdf+/o0aNasWKFKlSooL59+yo+Pl7NmzfXF198oYkTJ+qNN97w1MdxOwoJAAAA4EGZmZlq1qyZJCkyMlI7duzQyZMnJUlOp9PycX67b4UKFVShQgVJUkZGht5++23NnTtXTqdT/v7+bpze8ygkAAAAgAdFRERo+/btuu+++3To0CENHTpUDz/8sCRp586dBfb39fWVw+GQJAUEBOjEiROSpF27dl22z69+PW0rOjpa+/fv19dff+3Jj+N2FBIAAADAg7p06aKhQ4cqLi5Oly5d0rJlyzRu3Dh17dpVDRo0UGBg4GX7h4WFKSMjQwsWLFCnTp00dOhQrV69WrVq1bri8QcNGqSEhATl5uYqJydHw4YNK4JP5T4UEgAAAJQY7rxNr1WlSpUqcE3HokWLCuyXkpLi+vPatWtdf169enWBfTdt2uT6c82aNfXOO++4Y1QjuO0vAAAAAGMoJAAAAACM4ZQtAAC8mO/CaqZHKCjR9AAAihNWSAAAAAAYQyEBAAAAYAyFBAAAAIAxXEMCAACAEmNnpnsvgmoQPvKq9s/NzVXbtm21YcMGS/ufOHFC06dPV0JCwjVMd2OgkBRTqZn1TI9QwIhw0xMAAADcWKpUqVKsy4hEIQEAt+IfAwAzuBsZvFl2drYGDhyos2fPKiwsTJK0d+9ejRo1SpIUEhKi5ORkXbx4UX379pXT6dTFixeVmJiowMBA9e/fX0uXLtUnn3yiKVOmKCgoSOXLl1fdunV1zz33aM6cOfL399fhw4fVrl079erVy+THvWoUEgAAgBLCK4ubVOzL2/vvv6/IyEj169dP3333nTZv3qzhw4crOTlZt956q5YtW6a5c+eqYcOGCg4O1htvvKHvv/9edrtdgYGBkqRLly5p1KhRSk1NVeXKlTVgwADX8Y8cOaJVq1YpLy9PTZs2pZAAAAAA+J99+/apadOmkqS77rpLNptN+/fvV2LiL03s4sWLql27tpo1a6YDBw7ohRdekM1mu6xYnD59WkFBQapcubIk6S9/+YtOnjwpSYqMjJTNZpPNZlPp0qWL+NNdP+6yBQAAAHhQeHi4tm7dKknatWuX8vPzVbt2bY0bN04pKSl65ZVX1Lx5c23evFk33XST5s2bp169emnSpEmuY1SqVEnZ2dk6ffq0JOm7775zbfPx8SnaD+RmrJAAAAAAHtS9e3cNGTJEXbt2VXh4uPz9/ZWQkKBBgwbp0qVLkqTRo0crJCRE/fr108KFC+Xr66sXX3zRdQxfX18NHz5c//jHPxQcHCyHw6FbbrnF1EdyKwoJAAAASoyrvU2vO9hsNk2YMKHA6ykpKQVeW7BgQYHXli5dKknas2ePFi9erICAAA0cOFChoaFq1KiRGjVq5Np306ZN7hu8iFBIAAAAgBtAYGCgHn/8cZUuXVrVq1dXu3btTI/kFhQSAAAA4AYQFxenuLg402O4HRe1AwAAADCGQgIAAADAGAoJAAAAAGMoJAAAAACM4aJ2AAAAlBwjW7n3eIkbCt1lxYoVyszM1MCBA6/68CdOnND06dOVkJBwDcPdGFghAQAAALxUlSpVinUZkVghAQAAADxu69at6tGjh+x2u/r06aOkpCStXbtWpUqV0sSJExUeHq4WLVqob9++cjqdunjxohITExUYGKj+/ftr6dKlio2N1T333KO9e/fKx8dHM2bMUHBwsN544w19/fXXcjqdevLJJ9W2bVu9++67WrlypXx9fRUdHa1BgwbpP//5j+bMmSObzabq1atr/Pjx8vU1vz5BIQEAAAA8rEyZMpo9e7ZOnz6tTp06yeFwFNhn27ZtroLx/fffy263KzAw0LU9Oztb7du31/DhwzVgwAClpaUpKChIhw8f1pIlS5Sbm6vHH39cTZo00YoVKzR8+HBFRUXpvffeU35+vj788EM9+eSTat++vVauXCm73a5y5coVZQxXZL4SAQAAAMVcTEyMfHx8VKlSJQUHB+vMmTOubU6nU5LUrFkz3X333XrhhRc0ZcqUK65e1K9fX5IUGhqq3NxcZWRkaOfOnYqPj9ezzz6r/Px8HTlyRGPGjNGSJUsUFxenI0eOyOl0asiQIfr6668VFxenb775xitWRyQKCQAAAOBx27dvl/TLRernz59X1apVdfz4cTmdTu3Zs0eStHnzZt10002aN2+eevXqpUmTJhU4jo+Pz2Vfh4eHq1GjRkpJSdHChQvVtm1b1ahRQ0uXLlViYqIWLVqk3bt369tvv1Vqaqr69OmjRYsWSZL++9//evhTW8MpWwAAAICH5eTk6IknntD58+eVlJSkn376Sc8995yqV6/uOm3qtttuU79+/bRw4UL5+vrqxRdfLPS4rVq10ldffaVu3brp/Pnzuu+++xQUFKS6deuqY8eOqlChgqpWraq77rpLdrtdTz31lEJCQhQYGKgWLVp4+FNb4+P8dY3Ig9LT0xUTE3Pdx2mQmemGadxrZ3i46RGuiKysISdrvDEniaysIidrvDEnSbpjZI7pEQrYnlja9AgFkJM13piT5L6s3PU7J4oWp2wBAAAAMIZCAgAAAMAYCgkAAAAAYygkAAAAAIyhkAAAAAAwhkICAAAAwBieQwIAKHK+C6uZHqGgRNMDACgSv3uw4HVz8xM0Fi1apLi4OEv7njlzRp999pliY2P/cJ/evXtr2rRp7hrvTx05ckR79uxRq1atrup9rJAAAAAAXmLmzJmW9927d682bNjwp/sUVRmRpC+//FLffPPNVb+PFRIAAADAgy5evKiRI0fq4MFv9B8HAAAW8UlEQVSDcjgc6tu3r0aNGqV77rlHe/fulY+Pj2bMmKFFixbp559/VkJCgoYNG1bgPY0aNdKDDz6oWrVqKSAgQFlZWdqzZ49SU1PVsGFDjR07Vg6HQ2fPntVrr72m6OhoNWnSRJs2bVJ8fLxuu+027du3T3a7XW+99ZacTqf69eun0NBQHT58WO3bt9e+ffu0a9cutWjRQv3799fevXs1atQoSVJISIiSk5O1a9cuzZkzR/7+/jp8+LDatWun5557TrNnz1ZOTo4aNmyo1q1bW86HQgIAAAB40LJly1ShQgUlJycrKytLcXFxunDhgtq3b6/hw4drwIABSktLU69evbRo0SIlJCTovffeK/CeNWvW6Pz583rhhRdUv359bd68WUuWLFHnzp3173//W4MGDVLdunW1evVqrVixQtHR0ZfNceedd2rYsGGaPHmy1qxZo3bt2unQoUOaN2+ecnJy1Lp1a6WlpalMmTJq2bKl+vfvr+HDhys5OVm33nqrli1bprlz56px48Y6cuSIVq1apby8PDVt2lS9evXSc889p8zMzKsqIxKFBAAAAPCojIwMpaena9u2bZKk/Px8ZWVlqX79+pKk0NBQ5ebmWnqPJNWuXbvA97jppps0Y8YMlS5dWtnZ2QoKCiqwz6/f7+abb9bJkyclSTVr1lRwcLACAgJUuXJlhYSESJJ8/u9am/379ysx8ZeL7C5evOj63pGRkbLZbLLZbCpduvR1pEMhAQAAADwqPDxcN998s3r27KmcnBzNnDlTH3zwgeuX/t9y/t9F8ld6T/ny5SVJvr6+rv90OBySpNGjR2vixImKiIjQlClT9NNPP1ma7Uoz/Fbt2rU1btw4VatWTenp6Tpx4sQfvu+381wNLmoHAAAAPKhLly7KzMxUXFycunTpourVq7tKxe9FRERo4MCBlt4TFhamjIwMLViwQA899JBeeOEFdevWTQcOHNDx48fdMntCQoIGDRqkbt266Y033lDdunX/cN/IyEitX79ea9asuarv4eN0uvleZVeQnp6umJiY6z5Og8xMN0zjXjvDw02PcEVkZQ05WeONOUlkZZU35nTHyBzTIxSwPfH6TjnwFLKyhpys8cacJPdl5a7fOVG0WCEBAAAAYAyFBAAAAIAxXNQOoFBe+VRtiSdrAwBQDBS6QuJwODRixAh17txZ8fHxOnjw4BX3efbZZ7V48WKPDAkAAACgeCq0kKxbt055eXlKTU3VgAEDNHbs2AL7vPnmm/r55589MiAAAACA4qvQQpKenq6mTZtKkqKiorRjx47Ltn/00Ufy8fFRs2bNPDMhAAAAgGKr0GtI7Hb7ZU969PPzU35+vmw2mzIyMvThhx9qypQpmj59+p8eZ/fu3dc/balS138MN3PL5/IEsrKGnCwq+ERYb+CVWfEzZZH3/Ux5Z04SWVlFTtZ4X06St2aFolJoIQkKClJ2drbra4fDIZvtl7etXLlSx44dU48ePfTTTz/J399f1atXv+JqSb169a5/Wi+8v79bPpcnkJUlvl54P/Z6Xnjfesn7cpK882eK/+1Z5X0/U96Zk0RWVpGTNd6Xk+S+rNLT091yHBStQgtJdHS0PvnkE7Vr105bt25VZGSka9urr77q+vPUqVNVuXJlTt0CAAAAYFmhhaRNmzbatGmTunTpIqfTqeTkZM2fP19hYWFq3bp1UcwIAAAAoJgqtJD4+voqKSnpstciIiIK7NenTx/3TQUAAACgRLihHozolQ9n48FsAAAAwDUr9La/AAAAAOApFBIAAAAAxlBIAAAAABhDIQEAAABgDIUEAAAAgDEUEgAAAADGUEgAAAAAGEMhAQAAAGAMhQQAAACAMRQSAAAAAMZQSAAAAAAYQyEBAAAAYAyFBAAAAIAxNtMDAEBx4ruwmukRCko0PQAAAH+MFRIAAAAAxlBIAAAAABhDIQEAAABgDIUEAAAAgDEUEgAAAADGUEgAAAAAGEMhAQAAAGAMhQQAAACAMRQSAAAAAMbwpPZiiqdFAwAA4EbACgkAAAAAYygkAAAAAIyhkAAAAAAwhkICAAAAwBgKCQAAAABjKCQAAAAAjOG2vwAAACVEx6TSpke4Mh4NUKKxQgIAAADAGAoJAAAAAGMoJAAAAACMoZAAAAAAMIZCAgAAAMAYCgkAAAAAYygkAAAAAIyhkAAAAAAwhkICAAAAwBgKCQAAAABjKCQAAAAAjKGQAAAAADCGQgIAAADAGJvpAQAAAK5Xx6TSpkcoKNH0AMCNgRUSAAAAAMZQSAAAAAAYQyEBAAAAYAyFBAAAAIAxFBIAAAAAxlBIAAAAABhDIQEAAABgDIUEAAAAgDEUEgAAAADG8KR2AECR46naAIBfsUICAAAAwBgKCQAAAABjKCQAAAAAjOEaEgAAvBjX2wAo7lghAQAAAGAMhQQAAACAMRQSAAAAAMZQSAAAAAAYQyEBAAAAYAyFBAAAAIAx3PYXANyIW7QCAHB1WCEBAAAAYMwNtULCvzwCAAAAxcsNVUgAmOGV/xgg8Q8CAAAUA5yyBQAAAMAYCgkAAAAAYygkAAAAAIzhGhKUaF55bQTXRQAAgBKEFRIAAAAAxhS6QuJwOJSQkKC9e/cqICBAo0aN0i233OLavmDBAq1Zs0aS1Lx5c/Xu3dtz0wIAAAAoVgpdIVm3bp3y8vKUmpqqAQMGaOzYsa5thw4d0qpVq7RkyRKlpqZq48aN2rNnj0cHBgAAAFB8FLpCkp6erqZNm0qSoqKitGPHDte2m2++WXPnzpWfn58kKT8/X6VKlfLQqAAAAACKm0ILid1uV1BQkOtrPz8/5efny2azyd/fXxUrVpTT6dT48eNVv3591a5d+4rH2b17txvGreeGY7iXez6XJ1z5vweTvDMrfqas8b6cJLKyipys8c6cJLKyipys8b6cJG/NCkWl0EISFBSk7Oxs19cOh0M22//elpubq6FDhyowMFAjR478w+PUq+ed/wO4Xt77uXJMD1CA92blXcjJOrKyhpysISfryMoacrLOXVmlp6e75TgoWoVeQxIdHa20tDRJ0tatWxUZGena5nQ69cILL6hu3bpKSkpynboFAAAAAFYUukLSpk0bbdq0SV26dJHT6VRycrLmz5+vsLAwORwOffXVV8rLy9Nnn30mSerfv78aNmzo8cEBAAAA3PgKLSS+vr5KSkq67LWIiAjXn7dv3+7+qQAAAACUCDwYEQAAAIAxFBIAAAAAxlBIAAAAABhDIQEAAABgDIUEAAAAgDEUEgAAAADGUEgAAAAAGEMhAQAAAGAMhQQAAACAMRQSAAAAAMbYTA8Az+iYVNr0CAUlmh4AAAAA3oYVEgAAAADGUEgAAAAAGEMhAQAAAGAMhQQAAACAMRQSAAAAAMZQSAAAAAAYQyEBAAAAYAyFBAAAAIAxFBIAAAAAxlBIAAAAABhDIQEAAABgDIUEAAAAgDEUEgAAAADGUEgAAAAAGEMhAQAAAGAMhQQAAACAMRQSAAAAAMZQSAAAAAAYQyEBAAAAYAyFBAAAAIAxFBIAAAAAxlBIAAAAABhDIQEAAABgDIUEAAAAgDEUEgAAAADGUEgAAAAAGEMhAQAAAGAMhQQAAACAMRQSAAAAAMZQSAAAAAAYQyEBAAAAYAyFBAAAAIAxFBIAAAAAxlBIAAAAABhDIQEAAABgDIUEAAAAgDEUEgAAAADGUEgAAAAAGEMhAQAAAGAMhQQAAACAMRQSAAAAAMZQSAAAAAAYQyEBAAAAYAyFBAAAAIAxFBIAAAAAxlBIAAAAABhDIQEAAABgDIUEAAAAgDEUEgAAAADGUEgAAAAAGEMhAQAAAGAMhQQAAACAMRQSAAAAAMZQSAAAAAAYQyEBAAAAYAyFBAAAAIAxFBIAAAAAxlBIAAAAABhDIQEAAABgDIUEAAAAgDEUEgAAAADGUEgAAAAAGEMhAQAAAGAMhQQAAACAMYUWEofDoREjRqhz586Kj4/XwYMHL9u+dOlSdejQQY8//rg++eQTjw0KAAAAoPixFbbDunXrlJeXp9TUVG3dulVjx47VzJkzJUknTpxQSkqK/vWvfyk3N1fdunVTkyZNFBAQ4PHBAQAAANz4Cl0hSU9PV9OmTSVJUVFR2rFjh2vbtm3b1LBhQwUEBCg4OFhhYWHas2eP56YFAAAAUKwUukJit9sVFBTk+trPz0/5+fmy2Wyy2+0KDg52bQsMDJTdbr/icdLT06972Ae3XPch3M4NH8sjyMoacrLGG3OSyMoqcrLGG3OSyMoqcrLGG3OSvDMrFJ1CC0lQUJCys7NdXzscDtlstituy87Ovqyg/ComJsYdswIAAAAoZgo9ZSs6OlppaWmSpK1btyoyMtK17c4771R6erpyc3N17tw57d+//7LtAAAAAPBnfJxOp/PPdnA4HEpISFBGRoacTqeSk5OVlpamsLAwtW7dWkuXLlVqaqqcTqeef/553X///UU1OwAAAIAbXKGFBAAAAAA8hQcjAgAAADCmxBSS1atXKyEhQYMGDdLYsWNd18Xgf3Jzc7VgwQL17NlT3bt3V8+ePTV37lzl5OSYHg03qAMHDqhPnz4aOHCgDhw44Hp95MiR5obyQrm5uVq4cKHWrFmjo0ePKj4+Xj169FBmZqbp0bzegAEDTI/glVJSUiT98rywl156SX//+9/Vr18/nTx50vBk3mX79u1atWqVTp8+rUGDBunBBx9U3759deTIEdOjeZ0uXbro+++/Nz0GiqkSccrWqFGjFBwcrIYNG+qTTz5RpUqVdObMGQUFBalv376mx/Ma/fv312233aZmzZopMDBQ2dnZSktL03fffafp06ebHs9rTJo06Q+39e/fvwgn8X7x8fF6/vnnlZ+frwkTJmjChAmqX7++4uPjXb8wQerXr58iIiJ09OhRffXVV0pKSlLZsmX15ptvav78+abH8yotWrRQfn6+6+szZ84oJCREkrRx40ZTY3mdJ554Qv/85z/Vt29ftW7dWm3atNHnn3+upUuXatasWabH8xqdO3dWUlKSZs6cqRYtWqhVq1b66quvtHDhQv6O+p22bduqXLlyatKkiZ5++unLHgkBXK9Cb/tbHOzZs0eLFi2SJDVr1kw9e/bUrFmz1LVrV8OTeZfjx48X+GX7tttuU7du3QxN5J0qVqyoxYsXq1evXioBff663XvvvZKksLAw9enTR3PnzpWPj4/hqbzLiRMnNHnyZDkcDsXGxupvf/ubpF9uKoLLTZgwQfPnz1dCQoJuuukmym0hTp06pdjYWElSq1attGDBArMDeRl/f3/VrVtX586d0yOPPCJJuu+++zR37lzDk3mfKlWqaN68eUpJSVHHjh11zz33qFmzZqpRo4Zuu+020+PhBlciCklubq6+++473XXXXdqyZYvy8/N14sQJXbhwwfRoXqVUqVJauXKlmjZtquDgYNntdqWlpals2bKmR/MqTz75pHbu3KmbbrpJjRs3Nj2OV7PZbNqwYYOaN2+u8PBwDR8+3LVigv+x2WxatWqVHnroIX3wwQeSpM2bN1NIruDuu+9WzZo1NWLECD399NOU2z+QkZGhUaNGKT8/X1988YUaNWqkjz/+2PRYXqd69ep655131Lx5c02bNk2tWrXSp59+qipVqpgezes4nU7ZbDY99dRTiouL0+eff64vvvhCy5cvZ9UN161EnLK1c+dOjRgxQseOHVPNmjWVnJysTz/9VLfccotatmxpejyvkZWVpenTp+ubb75Rdna2AgMDFR0drV69eqlSpUqmx/Mqubm5ys3NVbly5UyP4tWOHj2qt956S4MHD3adVvPll19qzJgxrl+8IZ08eVKzZ8/W0KFDXa8lJiYqPj5e4eHhBifzXnl5eUpKSlJ6errWrl1rehyv8/PPP2vXrl3asWOHIiIi1KhRI7322msaOHCgqlevbno8r3HhwgW988472rhxo7KyshQSEqKYmBg9//zzKl++vOnxvEpycvJlf0cB7lQiCsmvTp8+LbvdrnLlyrl+OQIA3LiOHz+um266yfQYAIDrUCIKybZt25SUlCSHw6HAwEDZ7XY5nU6NHDlSDRs2ND0eAAAAUGKViELStWtXTZo0SaGhoa7Xjhw5opdfflnLli0zOJl3iY2NVVZW1hW3cfea/yEn68jKGnKyjqysISdryMk6soJHOUuAjh07FnjN4XA4O3XqZGAa73XgwAFnhw4dnBcuXDA9ilcjJ+vIyhpyso6srCEna8jJOrKCJ/klJCQkmC5Fnnb8+HHNmDFDJ06c0L59+/Tll19q2rRp+tvf/qZ77rnH9HheIyQkRKVLl9apU6dUq1Yt0+N4LXKyjqysISfryMoacrKGnKwjK3hSiThlS5J27dql9PR0ZWdnKygoSA0bNlSDBg1MjwUAAACUaCXiOSTSL9eM/PDDDzp37pzKly+vSpUqqX79+tzD/nfWrVunL774QufOnVO5cuUUExOjBx54gJx+h5ysIytryMk6srKGnKwhJ+vICp5SIlZIEhMT5XA41KxZMwUGBio7O1tpaWnKz8/X6NGjTY/nNcjJGnKyjqysISfryMoacrKGnKwjK3hSiVgh2bdvnxYtWnTZa61bt1aXLl0MTeSdyMkacrKOrKwhJ+vIyhpysoacrCMreJKv6QGKgsPh0JYtWy577euvv5a/v7+hibwTOVlDTtaRlTXkZB1ZWUNO1pCTdWQFTyoRp2z9+OOPGjNmjHbt2iWn0ylfX1/Vq1dPffv2Vd26dU2P5zXIyRpyso6srCEn68jKGnKyhpysIyt4Uok4Zev777/Xnj175O/vr379+ql9+/aSpCeeeEL//Oc/DU/nPcjJGnKyjqysISfryMoacrKGnKwjK3hSiSgks2bN0sqVK+VwOPTyyy8rLy9Pjz76qErA4tBVISdryMk6srKGnKwjK2vIyRpyso6s4EklopD4+/urfPnykqQZM2aoR48eCg0N5TZ1v0NO1pCTdWRlDTlZR1bWkJM15GQdWcGTSsRF7dWrV9eYMWN0/vx5BQUFadq0aUpKSlJmZqbp0bwKOVlDTtaRlTXkZB1ZWUNO1pCTdWQFT/JLSEhIMD2Ep7Vs2VKnTp1SnTp15O/vr+DgYN1///36+eef1axZM9PjeQ1ysoacrCMra8jJOrKyhpysISfryAqeVCLusgUAAADAO5WIU7YAAAAAeCcKCQAAAABjKCQAAAAAjKGQAAAAADCmRDyHBAC8yYABAxQbG6sWLVpo//79GjdunCpXrqyDBw/K4XCob9++atSokT766CO9++67rve99dZb2rdvnyZOnCh/f389/vjjeuSRRwx+EgAArh+FBACKWKdOnbR48WK1aNFCy5cvV8OGDWW325WcnKysrCzFxcVpzZo1OnDggGbPnq0yZcpoxIgR2rhxo6pWrarc3FwtW7bM9McAAMAtKCQAUMQaNWqk0aNH69SpU9q0aZMaNmyob775Rtu2bZMk5efnKysrS5UqVdKgQYMUGBiozMxMRUVFSZJq165tcnwAANyKQgIARczHx0exsbEaPXq0mjRpotDQUIWGhqpnz57KycnRzJkzZbPZNGXKFP2///f/JElPPfWUfn1slK8vl/8BAIoPCgkAGNChQwe1aNFCH3zwgWrWrKnXXntNcXFxstvt6tatm4KCghQdHa1HH31UZcuWVbly5XT8+HHVqFHD9OgAALgVT2oHAAOOHTumV199VQsXLjQ9CgAARrHuDwBF7OOPP9azzz6rAQMGmB4FAADjWCEBAAAAYAwrJAAAAACMoZAAAAAAMIZCAgAAAMAYCgkAAAAAYygkAAAAAIyhkAAAAAAw5v8DkxSIGiIULfkAAAAASUVORK5CYII=
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<div class="prompt input_prompt">In&nbsp;[52]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">ctab</span><span class="p">[</span><span class="n">themes</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">&#39;line&#39;</span><span class="p">,</span> <span class="n">stacked</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">colormap</span><span class="o">=</span><span class="s1">&#39;rainbow&#39;</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span><span class="mi">8</span><span class="p">))</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s1">&#39;center left&#39;</span><span class="p">,</span> <span class="n">bbox_to_anchor</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span> 
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<p>The proportion of technology talks has steadily increased over the years with a slight dip in 2010. This is understandable considering the boom of technologies such as blockchain, deep learning and augmented reality capturing people's imagination.</p>
<p>Talks on culture have witnessed a dip, decreasing steadily starting 2013. The share of culture talks has been the least in 2017. Entertainment talks seem to have witnessed a slight decline in popularity since 2009.</p>
<p>Like with the speaker occupations, let us investigate if certain topics tend to garner more views than a certain other topics. We will be doing this analysis for the top ten categories that we discovered in an earlier cell. As with the speaker occupations, the box plot will be used to deduce this relation.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pop_theme_talks</span> <span class="o">=</span> <span class="n">theme_df</span><span class="p">[</span><span class="n">theme_df</span><span class="p">[</span><span class="s1">&#39;theme&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">isin</span><span class="p">(</span><span class="n">pop_themes</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)[</span><span class="s1">&#39;theme&#39;</span><span class="p">])]</span>
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">nrows</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">ncols</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span> <span class="o">=</span> <span class="p">(</span><span class="mi">15</span><span class="p">,</span><span class="mi">10</span><span class="p">))</span>
<span class="n">sns</span><span class="o">.</span><span class="n">boxplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span> <span class="s1">&#39;theme&#39;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s1">&#39;views&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">pop_theme_talks</span><span class="p">,</span> <span class="n">palette</span><span class="o">=</span><span class="s1">&#39;muted&#39;</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span><span class="mf">0.4e7</span><span class="p">])</span>
</pre></div>

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<pre>(0, 4000000.0)</pre>
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<p>Although culture has lost share in the number of TED talks over the years, they garner the highest number of views.</p>
<h3 id="TED-Duration-and-Word-Counts">TED Duration and Word Counts<a class="anchor-link" href="#TED-Duration-and-Word-Counts">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Convert to minutes</span>
<span class="n">df</span><span class="p">[</span><span class="s1">&#39;duration&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;duration&#39;</span><span class="p">]</span><span class="o">/</span><span class="mi">60</span>
<span class="n">df</span><span class="p">[</span><span class="s1">&#39;duration&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
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<pre>count    2550.000000
mean       13.775170
std         6.233486
min         2.250000
25%         9.616667
50%        14.133333
75%        17.445833
max        87.600000
Name: duration, dtype: float64</pre>
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<p>TED Talks, on an average are 13.7 minutes long. Whis is surprising as TED Talks are often 18 minutes or longer and the average is a good 3 minutes shorter than that.</p>
<p>The shortest TED talk on record is 2.25 minutes long whereas the longest talk is 87.6 minutes. The longest talk was not actually a TED talk. Lets take a look at both the shortest and longest talks.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;duration&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="mf">2.25</span><span class="p">]</span>
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>name</th>
      <th>title</th>
      <th>description</th>
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      <th>film_date</th>
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      <th>239</th>
      <td>Murray Gell-Mann: The ancestor of language</td>
      <td>The ancestor of language</td>
      <td>After speaking at TED2007 on elegance in physi...</td>
      <td>Murray Gell-Mann</td>
      <td>Physicist</td>
      <td>1</td>
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      <td>TED2007</td>
      <td>03-03-2007</td>
      <td>11-06-2008</td>
      <td>...</td>
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      <td>61</td>
      <td>[{'id': 22, 'name': 'Fascinating', 'count': 78...</td>
      <td>[{'id': 161, 'hero': 'https://pe.tedcdn.com/im...</td>
      <td>https://www.ted.com/talks/murray_gell_mann_on_...</td>
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      <td>0.000097</td>
      <td>Mar</td>
      <td>Sat</td>
      <td>2007</td>
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<p>1 rows × 21 columns</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;duration&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="mf">87.6</span><span class="p">]</span>
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      <th></th>
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      <th>num_speaker</th>
      <th>duration</th>
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      <th>film_date</th>
      <th>published_date</th>
      <th>...</th>
      <th>tags</th>
      <th>languages</th>
      <th>ratings</th>
      <th>related_talks</th>
      <th>url</th>
      <th>views</th>
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      <th>day</th>
      <th>year</th>
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      <th>640</th>
      <td>Douglas Adams: Parrots, the universe and every...</td>
      <td>Parrots, the universe and everything</td>
      <td>Blind river dolphins, reclusive lemurs, a parr...</td>
      <td>Douglas Adams</td>
      <td>Author, satirist</td>
      <td>1</td>
      <td>87.6</td>
      <td>University of California</td>
      <td>16-05-2001</td>
      <td>16-03-2010</td>
      <td>...</td>
      <td>[biodiversity, biology, comedy, humor, life, r...</td>
      <td>0</td>
      <td>[{'id': 22, 'name': 'Fascinating', 'count': 29...</td>
      <td>[{'id': 635, 'hero': 'https://pe.tedcdn.com/im...</td>
      <td>https://www.ted.com/talks/douglas_adams_parrot...</td>
      <td>473220</td>
      <td>0.000213</td>
      <td>May</td>
      <td>Wed</td>
      <td>2001</td>
    </tr>
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<p>1 rows × 21 columns</p>
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<p>The shortest talk was at TED2007 titled <strong>The ancestor of language</strong> by Murray Gell-Mann. The longest talk on TED.com, as we had guessed, it is not a TED Talk at all. Rather, it was a talk titled <strong>Parrots, the universe and everything</strong> delivered by Douglas Adams at the University of California in 2001.</p>
<p>Let us now check for any correlation between the popularity and the duration of TED Talk. To make sure we only include TED Talks, we will consider only those talks which have a duration less than 25 minutes.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">jointplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span> <span class="s1">&#39;duration&#39;</span><span class="p">,</span><span class="n">y</span><span class="o">=</span><span class="s1">&#39;views&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;duration&#39;</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mi">25</span><span class="p">])</span>
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<pre>Text(336.971,0.5,&#39;Views&#39;)</pre>
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<p>There seems to be almost no correlation between these two quantities. This strongly suggests that there is no tangible correlation between the length of and the length and the popularity of a TED Talk. Content is king at TED.</p>
<p>Next, we'll look at transcripts to get an idea of word count. For this, we'll introduce our second dataset, the one which contains all the transcripts.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df2</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;../TED_TALKS/Data/transcripts.csv&#39;</span><span class="p">)</span>
<span class="n">df2</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>transcript</th>
      <th>url</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>Good morning. How are you?(Laughter)It's been ...</td>
      <td>https://www.ted.com/talks/ken_robinson_says_sc...</td>
    </tr>
    <tr>
      <th>1</th>
      <td>Thank you so much, Chris. And it's truly a gre...</td>
      <td>https://www.ted.com/talks/al_gore_on_averting_...</td>
    </tr>
    <tr>
      <th>2</th>
      <td>(Music: "The Sound of Silence," Simon &amp; Garfun...</td>
      <td>https://www.ted.com/talks/david_pogue_says_sim...</td>
    </tr>
    <tr>
      <th>3</th>
      <td>If you're here today — and I'm very happy that...</td>
      <td>https://www.ted.com/talks/majora_carter_s_tale...</td>
    </tr>
    <tr>
      <th>4</th>
      <td>About 10 years ago, I took on the task to teac...</td>
      <td>https://www.ted.com/talks/hans_rosling_shows_t...</td>
    </tr>
  </tbody>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">len</span><span class="p">(</span><span class="n">df2</span><span class="p">)</span>
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<pre>2467</pre>
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<p>It seems that we have data available for 2467 talks. Lets perform a join of the two dataframes on the url feature to include word counts for every talk.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df3</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">left</span><span class="o">=</span><span class="n">df</span><span class="p">,</span> <span class="n">right</span><span class="o">=</span><span class="n">df2</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;left&#39;</span><span class="p">,</span> <span class="n">left_on</span><span class="o">=</span><span class="s1">&#39;url&#39;</span><span class="p">,</span> <span class="n">right_on</span><span class="o">=</span><span class="s1">&#39;url&#39;</span><span class="p">)</span>
<span class="n">df3</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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    }

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        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>name</th>
      <th>title</th>
      <th>description</th>
      <th>main_speaker</th>
      <th>speaker_occupation</th>
      <th>num_speaker</th>
      <th>duration</th>
      <th>event</th>
      <th>film_date</th>
      <th>published_date</th>
      <th>...</th>
      <th>languages</th>
      <th>ratings</th>
      <th>related_talks</th>
      <th>url</th>
      <th>views</th>
      <th>dis_quo</th>
      <th>month</th>
      <th>day</th>
      <th>year</th>
      <th>transcript</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>Ken Robinson: Do schools kill creativity?</td>
      <td>Do schools kill creativity?</td>
      <td>Sir Ken Robinson makes an entertaining and pro...</td>
      <td>Ken Robinson</td>
      <td>Author/educator</td>
      <td>1</td>
      <td>19.400000</td>
      <td>TED2006</td>
      <td>25-02-2006</td>
      <td>27-06-2006</td>
      <td>...</td>
      <td>60</td>
      <td>[{'id': 7, 'name': 'Funny', 'count': 19645}, {...</td>
      <td>[{'id': 865, 'hero': 'https://pe.tedcdn.com/im...</td>
      <td>https://www.ted.com/talks/ken_robinson_says_sc...</td>
      <td>47227110</td>
      <td>0.000096</td>
      <td>Feb</td>
      <td>Sat</td>
      <td>2006</td>
      <td>Good morning. How are you?(Laughter)It's been ...</td>
    </tr>
    <tr>
      <th>1</th>
      <td>Al Gore: Averting the climate crisis</td>
      <td>Averting the climate crisis</td>
      <td>With the same humor and humanity he exuded in ...</td>
      <td>Al Gore</td>
      <td>Climate advocate</td>
      <td>1</td>
      <td>16.283333</td>
      <td>TED2006</td>
      <td>25-02-2006</td>
      <td>27-06-2006</td>
      <td>...</td>
      <td>43</td>
      <td>[{'id': 7, 'name': 'Funny', 'count': 544}, {'i...</td>
      <td>[{'id': 243, 'hero': 'https://pe.tedcdn.com/im...</td>
      <td>https://www.ted.com/talks/al_gore_on_averting_...</td>
      <td>3200520</td>
      <td>0.000083</td>
      <td>Feb</td>
      <td>Sat</td>
      <td>2006</td>
      <td>Thank you so much, Chris. And it's truly a gre...</td>
    </tr>
    <tr>
      <th>2</th>
      <td>David Pogue: Simplicity sells</td>
      <td>Simplicity sells</td>
      <td>New York Times columnist David Pogue takes aim...</td>
      <td>David Pogue</td>
      <td>Technology columnist</td>
      <td>1</td>
      <td>21.433333</td>
      <td>TED2006</td>
      <td>24-02-2006</td>
      <td>27-06-2006</td>
      <td>...</td>
      <td>26</td>
      <td>[{'id': 7, 'name': 'Funny', 'count': 964}, {'i...</td>
      <td>[{'id': 1725, 'hero': 'https://pe.tedcdn.com/i...</td>
      <td>https://www.ted.com/talks/david_pogue_says_sim...</td>
      <td>1636292</td>
      <td>0.000076</td>
      <td>Feb</td>
      <td>Fri</td>
      <td>2006</td>
      <td>(Music: "The Sound of Silence," Simon &amp; Garfun...</td>
    </tr>
    <tr>
      <th>3</th>
      <td>Majora Carter: Greening the ghetto</td>
      <td>Greening the ghetto</td>
      <td>In an emotionally charged talk, MacArthur-winn...</td>
      <td>Majora Carter</td>
      <td>Activist for environmental justice</td>
      <td>1</td>
      <td>18.600000</td>
      <td>TED2006</td>
      <td>26-02-2006</td>
      <td>27-06-2006</td>
      <td>...</td>
      <td>35</td>
      <td>[{'id': 3, 'name': 'Courageous', 'count': 760}...</td>
      <td>[{'id': 1041, 'hero': 'https://pe.tedcdn.com/i...</td>
      <td>https://www.ted.com/talks/majora_carter_s_tale...</td>
      <td>1697550</td>
      <td>0.000118</td>
      <td>Feb</td>
      <td>Sun</td>
      <td>2006</td>
      <td>If you're here today — and I'm very happy that...</td>
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    <tr>
      <th>4</th>
      <td>Hans Rosling: The best stats you've ever seen</td>
      <td>The best stats you've ever seen</td>
      <td>You've never seen data presented like this. Wi...</td>
      <td>Hans Rosling</td>
      <td>Global health expert; data visionary</td>
      <td>1</td>
      <td>19.833333</td>
      <td>TED2006</td>
      <td>22-02-2006</td>
      <td>28-06-2006</td>
      <td>...</td>
      <td>48</td>
      <td>[{'id': 9, 'name': 'Ingenious', 'count': 3202}...</td>
      <td>[{'id': 2056, 'hero': 'https://pe.tedcdn.com/i...</td>
      <td>https://www.ted.com/talks/hans_rosling_shows_t...</td>
      <td>12005869</td>
      <td>0.000049</td>
      <td>Feb</td>
      <td>Wed</td>
      <td>2006</td>
      <td>About 10 years ago, I took on the task to teac...</td>
    </tr>
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<p>5 rows × 22 columns</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df3</span><span class="p">[</span><span class="s1">&#39;transcript&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df3</span><span class="p">[</span><span class="s1">&#39;transcript&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="s1">&#39;&#39;</span><span class="p">)</span>
<span class="n">df3</span><span class="p">[</span><span class="s1">&#39;wc&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df3</span><span class="p">[</span><span class="s1">&#39;transcript&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">split</span><span class="p">()))</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df3</span><span class="p">[</span><span class="s1">&#39;wc&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
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<pre>count    2553.000000
mean     1971.550725
std      1009.494329
min         0.000000
25%      1235.000000
50%      1983.000000
75%      2681.000000
max      9044.000000
Name: wc, dtype: float64</pre>
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<p>We can see that the average TED Talk has around 1971 words and there is a significantly large standard deviation of a 1009 words. The longest talk is about 9044 words on length.</p>
<p>Like duration, there shouldn;t be any correlation betweem number of words and views. We will proceed to look at a more interesting statistic: the number of words per minute.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df3</span><span class="p">[</span><span class="s1">&#39;wpm&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df3</span><span class="p">[</span><span class="s1">&#39;wc&#39;</span><span class="p">]</span><span class="o">/</span><span class="n">df3</span><span class="p">[</span><span class="s1">&#39;duration&#39;</span><span class="p">]</span>
<span class="n">df3</span><span class="p">[</span><span class="s1">&#39;wpm&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
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<pre>count    2553.000000
mean      142.147752
std        39.635348
min         0.000000
25%       131.069182
50%       149.018182
75%       164.984615
max       247.364865
Name: wpm, dtype: float64</pre>
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<p>The average words per minute a TED speaker enunciates are about 142. The fastest speaker spoke a staggering 247 words per minute which is much higher than the average 125-150 words per minute in English. Let us see who this is!</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df3</span><span class="p">[</span><span class="n">df3</span><span class="p">[</span><span class="s1">&#39;wpm&#39;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">245</span><span class="p">]</span>
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<style scoped>
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        vertical-align: top;
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<table border="1" class="dataframe">
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    <tr style="text-align: right;">
      <th></th>
      <th>name</th>
      <th>title</th>
      <th>description</th>
      <th>main_speaker</th>
      <th>speaker_occupation</th>
      <th>num_speaker</th>
      <th>duration</th>
      <th>event</th>
      <th>film_date</th>
      <th>published_date</th>
      <th>...</th>
      <th>related_talks</th>
      <th>url</th>
      <th>views</th>
      <th>dis_quo</th>
      <th>month</th>
      <th>day</th>
      <th>year</th>
      <th>transcript</th>
      <th>wc</th>
      <th>wpm</th>
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    <tr>
      <th>441</th>
      <td>Mae Jemison: Teach arts and sciences together</td>
      <td>Teach arts and sciences together</td>
      <td>Mae Jemison is an astronaut, a doctor, an art ...</td>
      <td>Mae Jemison</td>
      <td>Astronaut, engineer, entrepreneur, physician a...</td>
      <td>1</td>
      <td>14.8</td>
      <td>TED2002</td>
      <td>02-02-2002</td>
      <td>05-05-2009</td>
      <td>...</td>
      <td>[{'id': 66, 'hero': 'https://pe.tedcdn.com/ima...</td>
      <td>https://www.ted.com/talks/mae_jemison_on_teach...</td>
      <td>744257</td>
      <td>0.000133</td>
      <td>Feb</td>
      <td>Sat</td>
      <td>2002</td>
      <td>What I want to do today is to spend some time ...</td>
      <td>3661</td>
      <td>247.364865</td>
    </tr>
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<p>1 rows × 24 columns</p>
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<p>The person is <strong>Mae Jemison</strong> with a talk on <strong>Teach arts and sciences together</strong> at the TED2002 conference. We should take this result with a pinch of salt as the speaker wasn't quite as fast as it seems.</p>
<p>Finally, in this section, we'll see the correlation between words per minute and popularity.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">jointplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s1">&#39;wpm&#39;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s1">&#39;views&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">df3</span><span class="p">[</span><span class="n">df3</span><span class="p">[</span><span class="s1">&#39;duration&#39;</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mi">25</span><span class="p">])</span>
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<pre>&lt;seaborn.axisgrid.JointGrid at 0x174c42b0&gt;</pre>
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<p>Again, there is practically no correlation.If you are going to give a TED Talk, you probably shouldn't worry if you're speaking a little faster or slower than usual.</p>
<h3 id="TED-Ratings">TED Ratings<a class="anchor-link" href="#TED-Ratings">&#182;</a></h3>
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<div class="prompt input_prompt">In&nbsp;[66]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">1</span><span class="p">][</span><span class="s1">&#39;ratings&#39;</span><span class="p">]</span>
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<pre>&#34;[{&#39;id&#39;: 7, &#39;name&#39;: &#39;Funny&#39;, &#39;count&#39;: 544}, {&#39;id&#39;: 3, &#39;name&#39;: &#39;Courageous&#39;, &#39;count&#39;: 139}, {&#39;id&#39;: 2, &#39;name&#39;: &#39;Confusing&#39;, &#39;count&#39;: 62}, {&#39;id&#39;: 1, &#39;name&#39;: &#39;Beautiful&#39;, &#39;count&#39;: 58}, {&#39;id&#39;: 21, &#39;name&#39;: &#39;Unconvincing&#39;, &#39;count&#39;: 258}, {&#39;id&#39;: 11, &#39;name&#39;: &#39;Longwinded&#39;, &#39;count&#39;: 113}, {&#39;id&#39;: 8, &#39;name&#39;: &#39;Informative&#39;, &#39;count&#39;: 443}, {&#39;id&#39;: 10, &#39;name&#39;: &#39;Inspiring&#39;, &#39;count&#39;: 413}, {&#39;id&#39;: 22, &#39;name&#39;: &#39;Fascinating&#39;, &#39;count&#39;: 132}, {&#39;id&#39;: 9, &#39;name&#39;: &#39;Ingenious&#39;, &#39;count&#39;: 56}, {&#39;id&#39;: 24, &#39;name&#39;: &#39;Persuasive&#39;, &#39;count&#39;: 268}, {&#39;id&#39;: 23, &#39;name&#39;: &#39;Jaw-dropping&#39;, &#39;count&#39;: 116}, {&#39;id&#39;: 26, &#39;name&#39;: &#39;Obnoxious&#39;, &#39;count&#39;: 131}, {&#39;id&#39;: 25, &#39;name&#39;: &#39;OK&#39;, &#39;count&#39;: 203}]&#34;</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;ratings&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;ratings&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">ast</span><span class="o">.</span><span class="n">literal_eval</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
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<p>In this talk we'll find which talks were rated the funniest, the most beautiful, the most confusing and most jaw dropping of all time. The rest is left to the reader to explore. We now need to define three extra features to accomplish this task.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;funny&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;ratings&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="s1">&#39;count&#39;</span><span class="p">])</span>
<span class="n">df</span><span class="p">[</span><span class="s1">&#39;jawdrop&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;ratings&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[</span><span class="o">-</span><span class="mi">3</span><span class="p">][</span><span class="s1">&#39;count&#39;</span><span class="p">])</span>
<span class="n">df</span><span class="p">[</span><span class="s1">&#39;beautiful&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;ratings&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[</span><span class="mi">3</span><span class="p">][</span><span class="s1">&#39;count&#39;</span><span class="p">])</span>
<span class="n">df</span><span class="p">[</span><span class="s1">&#39;confusing&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;ratings&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[</span><span class="mi">2</span><span class="p">][</span><span class="s1">&#39;count&#39;</span><span class="p">])</span>
<span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<table border="1" class="dataframe">
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    <tr style="text-align: right;">
      <th></th>
      <th>name</th>
      <th>title</th>
      <th>description</th>
      <th>main_speaker</th>
      <th>speaker_occupation</th>
      <th>num_speaker</th>
      <th>duration</th>
      <th>event</th>
      <th>film_date</th>
      <th>published_date</th>
      <th>...</th>
      <th>url</th>
      <th>views</th>
      <th>dis_quo</th>
      <th>month</th>
      <th>day</th>
      <th>year</th>
      <th>funny</th>
      <th>jawdrop</th>
      <th>beautiful</th>
      <th>confusing</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>Ken Robinson: Do schools kill creativity?</td>
      <td>Do schools kill creativity?</td>
      <td>Sir Ken Robinson makes an entertaining and pro...</td>
      <td>Ken Robinson</td>
      <td>Author/educator</td>
      <td>1</td>
      <td>19.400000</td>
      <td>TED2006</td>
      <td>25-02-2006</td>
      <td>27-06-2006</td>
      <td>...</td>
      <td>https://www.ted.com/talks/ken_robinson_says_sc...</td>
      <td>47227110</td>
      <td>0.000096</td>
      <td>Feb</td>
      <td>Sat</td>
      <td>2006</td>
      <td>19645</td>
      <td>1174</td>
      <td>3253</td>
      <td>6073</td>
    </tr>
    <tr>
      <th>1</th>
      <td>Al Gore: Averting the climate crisis</td>
      <td>Averting the climate crisis</td>
      <td>With the same humor and humanity he exuded in ...</td>
      <td>Al Gore</td>
      <td>Climate advocate</td>
      <td>1</td>
      <td>16.283333</td>
      <td>TED2006</td>
      <td>25-02-2006</td>
      <td>27-06-2006</td>
      <td>...</td>
      <td>https://www.ted.com/talks/al_gore_on_averting_...</td>
      <td>3200520</td>
      <td>0.000083</td>
      <td>Feb</td>
      <td>Sat</td>
      <td>2006</td>
      <td>544</td>
      <td>116</td>
      <td>58</td>
      <td>62</td>
    </tr>
    <tr>
      <th>2</th>
      <td>David Pogue: Simplicity sells</td>
      <td>Simplicity sells</td>
      <td>New York Times columnist David Pogue takes aim...</td>
      <td>David Pogue</td>
      <td>Technology columnist</td>
      <td>1</td>
      <td>21.433333</td>
      <td>TED2006</td>
      <td>24-02-2006</td>
      <td>27-06-2006</td>
      <td>...</td>
      <td>https://www.ted.com/talks/david_pogue_says_sim...</td>
      <td>1636292</td>
      <td>0.000076</td>
      <td>Feb</td>
      <td>Fri</td>
      <td>2006</td>
      <td>964</td>
      <td>230</td>
      <td>60</td>
      <td>183</td>
    </tr>
    <tr>
      <th>3</th>
      <td>Majora Carter: Greening the ghetto</td>
      <td>Greening the ghetto</td>
      <td>In an emotionally charged talk, MacArthur-winn...</td>
      <td>Majora Carter</td>
      <td>Activist for environmental justice</td>
      <td>1</td>
      <td>18.600000</td>
      <td>TED2006</td>
      <td>26-02-2006</td>
      <td>27-06-2006</td>
      <td>...</td>
      <td>https://www.ted.com/talks/majora_carter_s_tale...</td>
      <td>1697550</td>
      <td>0.000118</td>
      <td>Feb</td>
      <td>Sun</td>
      <td>2006</td>
      <td>760</td>
      <td>230</td>
      <td>59</td>
      <td>32</td>
    </tr>
    <tr>
      <th>4</th>
      <td>Hans Rosling: The best stats you've ever seen</td>
      <td>The best stats you've ever seen</td>
      <td>You've never seen data presented like this. Wi...</td>
      <td>Hans Rosling</td>
      <td>Global health expert; data visionary</td>
      <td>1</td>
      <td>19.833333</td>
      <td>TED2006</td>
      <td>22-02-2006</td>
      <td>28-06-2006</td>
      <td>...</td>
      <td>https://www.ted.com/talks/hans_rosling_shows_t...</td>
      <td>12005869</td>
      <td>0.000049</td>
      <td>Feb</td>
      <td>Wed</td>
      <td>2006</td>
      <td>3202</td>
      <td>2542</td>
      <td>318</td>
      <td>942</td>
    </tr>
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<p>5 rows × 25 columns</p>
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<h3 id="Funniest-Talks-of-all-time">Funniest Talks of all time<a class="anchor-link" href="#Funniest-Talks-of-all-time">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[[</span><span class="s1">&#39;title&#39;</span><span class="p">,</span> <span class="s1">&#39;main_speaker&#39;</span><span class="p">,</span> <span class="s1">&#39;views&#39;</span><span class="p">,</span> <span class="s1">&#39;published_date&#39;</span><span class="p">,</span> <span class="s1">&#39;funny&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;funny&#39;</span><span class="p">,</span> <span class="n">ascending</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)[:</span><span class="mi">10</span><span class="p">]</span>
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      <th>published_date</th>
      <th>funny</th>
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      <th>837</th>
      <td>The power of vulnerability</td>
      <td>Brené Brown</td>
      <td>31168150</td>
      <td>23-12-2010</td>
      <td>21444</td>
    </tr>
    <tr>
      <th>0</th>
      <td>Do schools kill creativity?</td>
      <td>Ken Robinson</td>
      <td>47227110</td>
      <td>27-06-2006</td>
      <td>19645</td>
    </tr>
    <tr>
      <th>1030</th>
      <td>How to live before you die</td>
      <td>Steve Jobs</td>
      <td>8744428</td>
      <td>06-10-2011</td>
      <td>17290</td>
    </tr>
    <tr>
      <th>201</th>
      <td>My stroke of insight</td>
      <td>Jill Bolte Taylor</td>
      <td>21190883</td>
      <td>12-03-2008</td>
      <td>14447</td>
    </tr>
    <tr>
      <th>1129</th>
      <td>The happy secret to better work</td>
      <td>Shawn Achor</td>
      <td>16209727</td>
      <td>01-02-2012</td>
      <td>11213</td>
    </tr>
    <tr>
      <th>1940</th>
      <td>The price of shame</td>
      <td>Monica Lewinsky</td>
      <td>11443190</td>
      <td>21-03-2015</td>
      <td>8668</td>
    </tr>
    <tr>
      <th>2109</th>
      <td>What makes a good life? Lessons from the longe...</td>
      <td>Robert Waldinger</td>
      <td>16601927</td>
      <td>23-12-2015</td>
      <td>8590</td>
    </tr>
    <tr>
      <th>1747</th>
      <td>Why good leaders make you feel safe</td>
      <td>Simon Sinek</td>
      <td>6803938</td>
      <td>19-05-2014</td>
      <td>8569</td>
    </tr>
    <tr>
      <th>553</th>
      <td>The thrilling potential of SixthSense technology</td>
      <td>Pranav Mistry</td>
      <td>16097077</td>
      <td>16-11-2009</td>
      <td>8416</td>
    </tr>
    <tr>
      <th>176</th>
      <td>Underwater astonishments</td>
      <td>David Gallo</td>
      <td>13926113</td>
      <td>11-01-2008</td>
      <td>8328</td>
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<h3 id="Most-beautiful-talks-of-all-time">Most beautiful talks of all time<a class="anchor-link" href="#Most-beautiful-talks-of-all-time">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[[</span><span class="s1">&#39;title&#39;</span><span class="p">,</span> <span class="s1">&#39;main_speaker&#39;</span><span class="p">,</span> <span class="s1">&#39;views&#39;</span><span class="p">,</span> <span class="s1">&#39;published_date&#39;</span><span class="p">,</span> <span class="s1">&#39;beautiful&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;beautiful&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span> <span class="kc">False</span><span class="p">)[:</span><span class="mi">10</span><span class="p">]</span>
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      <th></th>
      <th>title</th>
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      <th>views</th>
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      <th>beautiful</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>201</th>
      <td>My stroke of insight</td>
      <td>Jill Bolte Taylor</td>
      <td>21190883</td>
      <td>12-03-2008</td>
      <td>9437</td>
    </tr>
    <tr>
      <th>677</th>
      <td>How great leaders inspire action</td>
      <td>Simon Sinek</td>
      <td>34309432</td>
      <td>04-05-2010</td>
      <td>8845</td>
    </tr>
    <tr>
      <th>381</th>
      <td>Your elusive creative genius</td>
      <td>Elizabeth Gilbert</td>
      <td>13155478</td>
      <td>09-02-2009</td>
      <td>8130</td>
    </tr>
    <tr>
      <th>2161</th>
      <td>Inside the mind of a master procrastinator</td>
      <td>Tim Urban</td>
      <td>14745406</td>
      <td>16-03-2016</td>
      <td>7445</td>
    </tr>
    <tr>
      <th>1129</th>
      <td>The happy secret to better work</td>
      <td>Shawn Achor</td>
      <td>16209727</td>
      <td>01-02-2012</td>
      <td>7315</td>
    </tr>
    <tr>
      <th>1779</th>
      <td>Which country does the most good for the world?</td>
      <td>Simon Anholt</td>
      <td>4548276</td>
      <td>02-07-2014</td>
      <td>6390</td>
    </tr>
    <tr>
      <th>1346</th>
      <td>Your body language may shape who you are</td>
      <td>Amy Cuddy</td>
      <td>43155405</td>
      <td>01-10-2012</td>
      <td>6217</td>
    </tr>
    <tr>
      <th>500</th>
      <td>The puzzle of motivation</td>
      <td>Dan Pink</td>
      <td>18830983</td>
      <td>24-08-2009</td>
      <td>4797</td>
    </tr>
    <tr>
      <th>614</th>
      <td>Teach every child about food</td>
      <td>Jamie Oliver</td>
      <td>7638978</td>
      <td>11-02-2010</td>
      <td>4779</td>
    </tr>
    <tr>
      <th>553</th>
      <td>The thrilling potential of SixthSense technology</td>
      <td>Pranav Mistry</td>
      <td>16097077</td>
      <td>16-11-2009</td>
      <td>4702</td>
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<h3 id="Most-Jaw-Dropping-Talks-of-all-time">Most Jaw Dropping Talks of all time<a class="anchor-link" href="#Most-Jaw-Dropping-Talks-of-all-time">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[[</span><span class="s1">&#39;title&#39;</span><span class="p">,</span> <span class="s1">&#39;views&#39;</span><span class="p">,</span> <span class="s1">&#39;main_speaker&#39;</span><span class="p">,</span> <span class="s1">&#39;published_date&#39;</span><span class="p">,</span> <span class="s1">&#39;jawdrop&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;jawdrop&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)[:</span><span class="mi">10</span><span class="p">]</span>
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      <th></th>
      <th>title</th>
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      <th>published_date</th>
      <th>jawdrop</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>4</th>
      <td>The best stats you've ever seen</td>
      <td>12005869</td>
      <td>Hans Rosling</td>
      <td>28-06-2006</td>
      <td>2542</td>
    </tr>
    <tr>
      <th>1163</th>
      <td>The power of introverts</td>
      <td>17629275</td>
      <td>Susan Cain</td>
      <td>03-03-2012</td>
      <td>2467</td>
    </tr>
    <tr>
      <th>381</th>
      <td>Your elusive creative genius</td>
      <td>13155478</td>
      <td>Elizabeth Gilbert</td>
      <td>09-02-2009</td>
      <td>2093</td>
    </tr>
    <tr>
      <th>1030</th>
      <td>How to live before you die</td>
      <td>8744428</td>
      <td>Steve Jobs</td>
      <td>06-10-2011</td>
      <td>1368</td>
    </tr>
    <tr>
      <th>0</th>
      <td>Do schools kill creativity?</td>
      <td>47227110</td>
      <td>Ken Robinson</td>
      <td>27-06-2006</td>
      <td>1174</td>
    </tr>
    <tr>
      <th>677</th>
      <td>How great leaders inspire action</td>
      <td>34309432</td>
      <td>Simon Sinek</td>
      <td>04-05-2010</td>
      <td>1161</td>
    </tr>
    <tr>
      <th>29</th>
      <td>The surprising science of happiness</td>
      <td>14689301</td>
      <td>Dan Gilbert</td>
      <td>26-09-2006</td>
      <td>1047</td>
    </tr>
    <tr>
      <th>117</th>
      <td>New insights on poverty</td>
      <td>3243784</td>
      <td>Hans Rosling</td>
      <td>25-06-2007</td>
      <td>828</td>
    </tr>
    <tr>
      <th>500</th>
      <td>The puzzle of motivation</td>
      <td>18830983</td>
      <td>Dan Pink</td>
      <td>24-08-2009</td>
      <td>825</td>
    </tr>
    <tr>
      <th>1170</th>
      <td>Why you will fail to have a great career</td>
      <td>5917201</td>
      <td>Larry Smith</td>
      <td>11-03-2012</td>
      <td>752</td>
    </tr>
  </tbody>
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<h3 id="Most-Confusing-Talks-of-all-time">Most Confusing Talks of all time<a class="anchor-link" href="#Most-Confusing-Talks-of-all-time">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[[</span><span class="s1">&#39;title&#39;</span><span class="p">,</span> <span class="s1">&#39;views&#39;</span><span class="p">,</span> <span class="s1">&#39;main_speaker&#39;</span><span class="p">,</span> <span class="s1">&#39;published_date&#39;</span><span class="p">,</span> <span class="s1">&#39;confusing&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;confusing&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)[:</span><span class="mi">10</span><span class="p">]</span>
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<h3 id="Related-Videos">Related Videos<a class="anchor-link" href="#Related-Videos">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;related_talks&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;related_talks&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">ast</span><span class="o">.</span><span class="n">literal_eval</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">s</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="s1">&#39;related_talks&#39;</span><span class="p">]),</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">stack</span><span class="p">()</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">level</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">drop</span><span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
<span class="n">s</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">&#39;related&#39;</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">related_df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">&#39;related_talks&#39;</span><span class="p">,</span> <span class="n">axis</span> <span class="o">=</span> <span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">s</span><span class="p">)</span>
<span class="n">related_df</span><span class="p">[</span><span class="s1">&#39;related&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">related_df</span><span class="p">[</span><span class="s1">&#39;related&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[</span><span class="s1">&#39;title&#39;</span><span class="p">])</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">d</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="n">related_df</span><span class="p">[</span><span class="s1">&#39;title&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">drop_duplicates</span><span class="p">())</span>
<span class="n">d</span> <span class="o">=</span> <span class="p">{</span><span class="n">v</span><span class="p">:</span> <span class="n">k</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">d</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">related_df</span><span class="p">[</span><span class="s1">&#39;title&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">related_df</span><span class="p">[</span><span class="s1">&#39;title&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">d</span><span class="p">[</span><span class="n">x</span><span class="p">])</span>
<span class="n">related_df</span><span class="p">[</span><span class="s1">&#39;related&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">related_df</span><span class="p">[</span><span class="s1">&#39;related&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">d</span><span class="p">[</span><span class="n">x</span><span class="p">])</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">related_df</span> <span class="o">=</span> <span class="n">related_df</span><span class="p">[[</span><span class="s1">&#39;title&#39;</span><span class="p">,</span> <span class="s1">&#39;related&#39;</span><span class="p">]]</span>
<span class="n">related_df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">edges</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">related_df</span><span class="p">[</span><span class="s1">&#39;title&#39;</span><span class="p">],</span> <span class="n">related_df</span><span class="p">[</span><span class="s1">&#39;related&#39;</span><span class="p">]))</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">networkx</span> <span class="k">as</span> <span class="nn">nx</span>
<span class="n">G</span> <span class="o">=</span> <span class="n">nx</span><span class="o">.</span><span class="n">Graph</span><span class="p">()</span>
<span class="n">G</span><span class="o">.</span><span class="n">add_edges_from</span><span class="p">(</span><span class="n">edges</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">25</span><span class="p">,</span><span class="mi">25</span><span class="p">))</span>
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<p>The graph is reasonably dense with every node connected to at least 3 other nodes. This shows us the real beauty of the conference. No matter how different the subjects of the talks are, the common theme of spreading ideas and inspiring people seems to be a adhesive force between them.</p>
<h3 id="The-TED-Word-Cloud">The TED Word Cloud<a class="anchor-link" href="#The-TED-Word-Cloud">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">corpus</span> <span class="o">=</span> <span class="s1">&#39; &#39;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">df2</span><span class="p">[</span><span class="s1">&#39;transcript&#39;</span><span class="p">])</span>
<span class="n">corpus</span> <span class="o">=</span> <span class="n">corpus</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;.&#39;</span><span class="p">,</span><span class="s1">&#39;, &#39;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">wordcloud</span> <span class="o">=</span> <span class="n">WordCloud</span><span class="p">(</span><span class="n">stopwords</span> <span class="o">=</span> <span class="n">STOPWORDS</span><span class="p">,</span> <span class="n">background_color</span> <span class="o">=</span> <span class="s1">&#39;white&#39;</span><span class="p">,</span> <span class="n">width</span> <span class="o">=</span> <span class="mi">2400</span><span class="p">,</span>
                     <span class="n">height</span><span class="o">=</span> <span class="mi">2000</span><span class="p">)</span><span class="o">.</span><span class="n">generate</span><span class="p">(</span><span class="n">corpus</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span><span class="mi">15</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">wordcloud</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">&#39;off&#39;</span><span class="p">)</span>
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<p>The word <strong>One</strong> is the most popular across the corpus of all TED Transcripts which I think encapsulates the idea of TED pretty well. <strong>Now, Think, See, People, Laughter</strong> and <strong>Now</strong> are among the most popular words used in TED speeches. TED speeches seem to play a lot emphasis on knowledge, insight, the present and of course, the people.</p>

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