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MimanshaKaurMimanshaKaur
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dataset
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‎Introduction.ipynb

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‎analysis/analysis.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"- Ways to create dataset\n",
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" - dictionary of items\n",
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" - list of items\n",
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" - importing csv files\n",
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" - importing excel files\n",
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" - importing json files\n",
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"- reading data\n",
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"- selection of data\n",
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"- manipulating the data\n",
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"- visualizing the data"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Title</th>\n",
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" <th>Author</th>\n",
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" <th>Published</th>\n",
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" <th>price</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>The Hobbit</td>\n",
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" <td>J.R.R Tolkien</td>\n",
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" <td>1937</td>\n",
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" <td>399</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>The Catcher in the Rye</td>\n",
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" <td>J.D Salinger</td>\n",
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" <td>1951</td>\n",
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" <td>199</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>1984</td>\n",
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" <td>George Orwell</td>\n",
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" <td>1949</td>\n",
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" <td>299</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>The Little Prince</td>\n",
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" <td>Antoine de Saint- Exupery</td>\n",
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" <td>1943</td>\n",
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" <td>199</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>The Da Vinci Code</td>\n",
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" <td>Dan Brown</td>\n",
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" <td>2003</td>\n",
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" <td>499</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Title Author Published price\n",
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"0 The Hobbit J.R.R Tolkien 1937 399\n",
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"1 The Catcher in the Rye J.D Salinger 1951 199\n",
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"2 1984 George Orwell 1949 299\n",
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"3 The Little Prince Antoine de Saint- Exupery 1943 199\n",
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"4 The Da Vinci Code Dan Brown 2003 499"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# creating dataset from dictionary items\n",
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"books ={\n",
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" 'Title': ['The Hobbit','The Catcher in the Rye','1984','The Little Prince','The Da Vinci Code'],\n",
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" 'Author':['J.R.R Tolkien','J.D Salinger','George Orwell','Antoine de Saint- Exupery','Dan Brown'],\n",
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" 'Published': [1937,1951,1949,1943,2003],\n",
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" 'price': [399,199,299,199,499]\n",
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"}\n",
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"pd.DataFrame(books)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "base",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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