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index.Rmd
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<ul class="navibar">
<li><a href="./index.html" class="current" >Schedule</a></li>
<li><a href="./syllabus.html" class="navibar" >Syllabus</a></li>
<li><a href="./homework.html" class="navibar" >Homework</a></li>
</ul>
<!--- Start Main Page --->
<br><br>
### Schedule
-----------
--------------------------------------------------------------------------------
Class Date Day Topic Reading Notes
([R4DS])
----- ------ ---- ---------------------------- -------------- -------------
1 Jan 11 Wed [Intro]
Jan 16 Mon <font color="orange">
*No Class: MLK Jr Day*
</font>
2 Jan 18 Wed [R and RStudio] 1; 2; 6 **HW 1 Due**;<br>
[salary.csv]
3 Jan 23 Mon [Data Visualization] 3.1-3.6 **HW 2 Due**
4 Jan 25 Wed Data Visualization con\'t 3.7-3.10; 4
5 Jan 30 Mon [Data Transformation I] 5.1-5.5 **HW 3 Due**; <br>
[Logical and Relational Operators]
[transform lab]
6 Feb 01 Wed [Data Transformation II: 5.6-5.7; 8 [aggregate lab]
aggregate]
7 Feb 06 Mon [Data Visualization part 2] 7 **HW 4 Due**; <br>
[dataviz2 lab]
8 Feb 08 Wed Data Visualization part 2,
con\'t
9 Feb 13 Mon Special Guest: Joshua Review 1-8 **HW 5 Due**
Jones from
[Strategywise](
http://strategywise.com/)
10 Feb 15 Wed [Data Explore Challenge] 10; [data-explore.R]
20.1-20.4
11 Feb 20 Mon [R Basics I] 20.5-20.7; **HW 6 Due**
15
12 Feb 22 Wed [R Basics II]
13 Feb 27 Mon [Relational Data] 13 **HW 7 Due**;
[relational lab]
14 Mar 01 Wed Relational Data, con\'t 19;
21.1-21.4
15 Mar 06 Mon [Exam Review] **HW 8 Due**
[midterm 2106.R]
16 Mar 08 Wed Midterm Exam
Mar 13 Mon <font color="orange">
*No Class: Spring Break*
</font>
Mar 15 Wed <font color="orange">
*No Class: Spring Break*
</font>
17 Mar 20 Mon [Data Import] 11.1-11.3
18 Mar 22 Wed Data Import, con\'t 11.4-11.6
19 Mar 27 Mon [Tidy Data] 12 **HW 9 Due** <br>
[Tidy Data Paper];
[tidy lab]
20 Mar 29 Wed [Spatial Data]
21 Apr 03 Mon Spatial Data, con\'t **HW 10 Due**
22 Apr 05 Wed [Strings] 14 No class: University closed for storms
23 Apr 10 Mon ~~HTML Data~~ [rvest **HW 11 Due**
package]
24 Apr 12 Wed [Linear Regression] 23
~~Text Mining I~~
25 Apr 17 Mon [HTML Data] [rvest **HW 12 Due**
~~Text Mining II~~ package]
26 Apr 19 Wed [Text Mining]
~~Network Data~~
27 Apr 24 Mon Project Presentations **HW 13 Due** <br>
[project description](./projects.html)
28 Apr 26 Wed Project Presentations [Peer Assessment form](docs/PeerEval.doc)
--------------------------------------------------------------------------------
<!--- Lectures --->
[Intro]: lectures/01-Intro.pdf
[R and RStudio]: lectures/02-Rintro.pdf
[Data Visualization]: lectures/03-dataviz.pdf
[Data Transformation I]: lectures/04-transform.pdf
[Data Transformation II: aggregate]: lectures/05-aggregate.pdf
[Data Visualization part 2]: lectures/06-dataviz2.pdf
[Data Explore Challenge]: lectures/07-dataexplore-challenge.html
[R Basics I]: lectures/08-rbasics.pdf
[R Basics II]: lectures/09-rbasics2.pdf
[Relational Data]: lectures/10-relational.pdf
[Data Import]: lectures/11-import.pdf
[Tidy Data]: lectures/12-tidy.pdf
[Spatial Data]: lectures/13-spatial.pdf
[Strings]: lectures/14-strings.pdf
[Linear Regression]: lectures/16-regression.pdf
[HTML Data]: lectures/15-webdata.pdf
[Text Mining]: lectures/17-wordcloud.pdf
<!--- Notes --->
[salary.csv]: data/salary.csv
[R4DS]: http://r4ds.had.co.nz
[rvest package]: http://blog.rstudio.org/2014/11/24/rvest-easy-web-scraping-with-r/
[Logical and Relational Operators]: lectures/logic-sets-control.html
[transform lab]: lectures/04-transform-lab.R
[aggregate lab]: lectures/05-aggregate-lab.R
[dataviz2 lab]: lectures/06-dataviz2-lab.R
[data-explore.R]: lectures/07-dataexplore-challenge.R
[relational lab]: lectures/10-relational-lab.R
[Exam Review]: lectures/midterm16.pdf
[midterm 2106.R]: lectures/midterm16.R
[Tidy Data Paper]: http://www.jstatsoft.org/v59/i10/paper
[tidy lab]: lectures/12-tidy-lab.R
----