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exercise question for part 1
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‎exercises/Untitled.ipynb‎

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{
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"cells": [
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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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"# Part 1 -- Intro"
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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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"Load the tips dataset from seaborn"
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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": 3,
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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>total_bill</th>\n",
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" <th>tip</th>\n",
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" <th>sex</th>\n",
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" <th>smoker</th>\n",
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" <th>day</th>\n",
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" <th>time</th>\n",
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" <th>size</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>16.99</td>\n",
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" <td>1.01</td>\n",
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" <td>Female</td>\n",
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" <td>No</td>\n",
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" <td>Sun</td>\n",
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" <td>Dinner</td>\n",
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" <td>2</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>10.34</td>\n",
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" <td>1.66</td>\n",
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" <td>Male</td>\n",
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" <td>No</td>\n",
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" <td>Sun</td>\n",
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" <td>Dinner</td>\n",
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" <td>3</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>21.01</td>\n",
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" <td>3.50</td>\n",
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" <td>Male</td>\n",
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" <td>No</td>\n",
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" <td>Sun</td>\n",
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" <td>Dinner</td>\n",
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" <td>3</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>23.68</td>\n",
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" <td>3.31</td>\n",
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" <td>Male</td>\n",
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" <td>No</td>\n",
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" <td>Sun</td>\n",
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" <td>Dinner</td>\n",
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" <td>2</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>24.59</td>\n",
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" <td>3.61</td>\n",
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" <td>Female</td>\n",
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" <td>No</td>\n",
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" <td>Sun</td>\n",
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" <td>Dinner</td>\n",
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" <td>4</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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" total_bill tip sex smoker day time size\n",
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"0 16.99 1.01 Female No Sun Dinner 2\n",
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"1 10.34 1.66 Male No Sun Dinner 3\n",
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"2 21.01 3.50 Male No Sun Dinner 3\n",
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"3 23.68 3.31 Male No Sun Dinner 2\n",
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"4 24.59 3.61 Female No Sun Dinner 4"
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]
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},
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"execution_count": 3,
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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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"import seaborn as sns\n",
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"\n",
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"tips = sns.load_dataset('tips')\n",
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"tips.head()"
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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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"### Filter rows by `smoker == 'No'` and `total_bill >= 10`"
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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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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### What is the average `total_bill` for each value of `smoker`, `day`, and `time`"
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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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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Part 2 -- Tidy"
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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": "Python 3",
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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": "3.7.3"
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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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