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{
"cells": [
{
"cell_type": "markdown",
"id": "90041b00-672b-4bd4-a8e8-0cab3f0548af",
"metadata": {},
"source": [
"# Lab 04: Data Science Tools\n",
"\n",
"## 0. Jupyter Notebooks\n",
"\n",
"Welcome to your first Jupyter notebook! Notebooks are made up of cells. Some cells contain text (like this one) and others contain Python code. \n",
"\n",
"Each cell can be in two different modes: editing or running. To edit a cell, double-click on it. When you're done editing, press **shift+Enter** to run it. You can use [Markdown](https://www.markdownguide.org/cheat-sheet/) to add basic formatting to the text. Before you go on, try editing the text in this cell."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "5923b0d7-c0e0-48fa-b765-4aa6002c2d4f",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"8"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Other cells are code cells, containing Python code. (This is a comment, of course!)\n",
"# Try running this cell (again, shift+Enter). You'll see the result of the final statement \n",
"# printed below the cell. \n",
"# Then try changing the Python code and re-run it.\n",
"\n",
"1+7"
]
},
{
"cell_type": "markdown",
"id": "257ef44f-8f53-4136-9d0d-23a811ec53e9",
"metadata": {},
"source": [
"### 0.1 Cells share state\n",
"\n",
"Even though code cells run one at a time, anything that happens in a cell (like declaring a variable or running a function) affects the whole notebook. Try running these two cells a few times, in different orders. What happens when you run *Cell B* over and over?"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "0e2a2927-f6d1-4b13-97ae-ff97416723e9",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"10"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Cell A\n",
"x = 10\n",
"x"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "69dd7908-b213-4d0f-8016-e46a4a491961",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"20"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Cell B\n",
"x = x * 2\n",
"x"
]
},
{
"cell_type": "markdown",
"id": "adc581ac-db13-40a8-bcfc-bf5d6e5472c5",
"metadata": {},
"source": [
"### 0.2 Saving your work\n",
"\n",
"When you finish working on a notebook, save your work using the icon in the menu bar above. Your notebook is stored in the file `lab_04.ipynb` in the lab directory. You can commit your changes to `ipynb` files just like any other file. Once you finish with Jupyter, you can stop the server by pressing **Control + C** in the Terminal. \n",
"\n",
"*If you're doing this lab on a cloud-based platform like Binder, then you can't save your work. So don't close the tab!*"
]
},
{
"cell_type": "markdown",
"id": "c9c4aec2-949d-4a2e-b736-f5182b1f9ff7",
"metadata": {},
"source": [
"---\n",
"\n",
"## 1. Pandas\n",
"\n",
"Pandas is probably the most important Python library for data science. Pandas provides an object called a **DataFrame**, which is basically a table with rows and columns. Most of the time, you will load data into Pandas using a `.csv` file. CSV files can be exported from Excel or Google Sheets, and are a common format for public data sets. \n",
"\n",
"In this lab, we'll be working with two data sets: The first contains Pokémon characteristics and the second comes from a wide-scale survey conducted by the US Centers for Disease Control ([details](https://www.cdc.gov/brfss/annual_data/annual_2020.html)). We will demonstrate techniques with Pokémon; your job is to replicate these tasks with the CDC dataset. \n",
"\n",
"**Note:** Pandas has *extensive* capabilities, and there's no way we could possibly present them all here. If you have a clearly-formed idea of what you want to do with tabular data, there's a way to do it. This lab introduces *some* of what Pandas can do, but expect to spend time reading the documentation and Stack Overflow when you start working on new tasks. \n",
"\n",
"### 1.0 Getting started\n",
"\n",
"First, we'll import pandas (using the conventional variable name `pd`) and load the two datasets. *Run these cells and every code cell you encounter in this notebook.*"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "ba09a0f8-27d9-456f-aeff-3980e3362d5b",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "a29d508a-2d9a-4d62-9ff6-7a0ecfd5eba4",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"pokemon = pd.read_csv(\"pokemon.csv\")\n",
"people = pd.read_csv(\"brfss_2020.csv\")"
]
},
{
"cell_type": "markdown",
"id": "d4e0b811-b8bf-4e9a-a934-3aad8f0520bb",
"metadata": {},
"source": [
"### 1.1 A first look\n",
"\n",
"#### Demo\n",
"\n",
"Let's start by learning the *shape* of the data. How many columns are there? How many rows? What kinds of data are included?"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "579d8dda-ca39-48b1-8819-b17651029729",
"metadata": {},
"outputs": [
{
"data": {
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" <td>VenusaurMega Venusaur</td>\n",
" <td>Grass</td>\n",
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" <td>625</td>\n",
" <td>80</td>\n",
" <td>100</td>\n",
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" <td>Charmander</td>\n",
" <td>Fire</td>\n",
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" <td>Diancie</td>\n",
" <td>Rock</td>\n",
" <td>Fairy</td>\n",
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" <td>50</td>\n",
" <td>100</td>\n",
" <td>150</td>\n",
" <td>100</td>\n",
" <td>150</td>\n",
" <td>50</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
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" <tr>\n",
" <th>796</th>\n",
" <td>DiancieMega Diancie</td>\n",
" <td>Rock</td>\n",
" <td>Fairy</td>\n",
" <td>700</td>\n",
" <td>50</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>110</td>\n",
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" <td>True</td>\n",
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" <tr>\n",
" <th>797</th>\n",
" <td>HoopaHoopa Confined</td>\n",
" <td>Psychic</td>\n",
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" <tr>\n",
" <th>798</th>\n",
" <td>HoopaHoopa Unbound</td>\n",
" <td>Psychic</td>\n",
" <td>Dark</td>\n",
" <td>680</td>\n",
" <td>80</td>\n",
" <td>160</td>\n",
" <td>60</td>\n",
" <td>170</td>\n",
" <td>130</td>\n",
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" <th>799</th>\n",
" <td>Volcanion</td>\n",
" <td>Fire</td>\n",
" <td>Water</td>\n",
" <td>600</td>\n",
" <td>80</td>\n",
" <td>110</td>\n",
" <td>120</td>\n",
" <td>130</td>\n",
" <td>90</td>\n",
" <td>70</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>800 rows × 12 columns</p>\n",
"</div>"
],
"text/plain": [
" name type subtype total hp attack defense \\\n",
"0 Bulbasaur Grass Poison 318 45 49 49 \n",
"1 Ivysaur Grass Poison 405 60 62 63 \n",
"2 Venusaur Grass Poison 525 80 82 83 \n",
"3 VenusaurMega Venusaur Grass Poison 625 80 100 123 \n",
"4 Charmander Fire NaN 309 39 52 43 \n",
".. ... ... ... ... .. ... ... \n",
"795 Diancie Rock Fairy 600 50 100 150 \n",
"796 DiancieMega Diancie Rock Fairy 700 50 160 110 \n",
"797 HoopaHoopa Confined Psychic Ghost 600 80 110 60 \n",
"798 HoopaHoopa Unbound Psychic Dark 680 80 160 60 \n",
"799 Volcanion Fire Water 600 80 110 120 \n",
"\n",
" special_attack special_defense speed generation legendary \n",
"0 65 65 45 1 False \n",
"1 80 80 60 1 False \n",
"2 100 100 80 1 False \n",
"3 122 120 80 1 False \n",
"4 60 50 65 1 False \n",
".. ... ... ... ... ... \n",
"795 100 150 50 6 True \n",
"796 160 110 110 6 True \n",
"797 150 130 70 6 True \n",
"798 170 130 80 6 True \n",
"799 130 90 70 6 True \n",
"\n",
"[800 rows x 12 columns]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon"
]
},
{
"cell_type": "markdown",
"id": "ee8b0718-56f9-4fc8-bd35-fa0ccb445179",
"metadata": {},
"source": [
"OK, 800 Pokémon, with 12 columns for each. And you can see all the columns. Not all the data is shown in this preview, of course. If there were more columns than could be displayed, you could see them all by typing `pokemon.columns`. \n",
"\n",
"#### Your turn\n",
"\n",
"Now do the same for your data set, `people`."
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "c9e5e4ec-b197-450c-ae2d-318006fa0a2f",
"metadata": {},
"outputs": [
{
"data": {
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" <th></th>\n",
" <th>age</th>\n",
" <th>sex</th>\n",
" <th>income</th>\n",
" <th>education</th>\n",
" <th>sexual_orientation</th>\n",
" <th>height</th>\n",
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" <td>1.80</td>\n",
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" <td>1.63</td>\n",
" <td>86.18</td>\n",
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" <td>False</td>\n",
" <td>False</td>\n",
" <td>6</td>\n",
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" <tr>\n",
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" <td>25</td>\n",
" <td>male</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.78</td>\n",
" <td>86.18</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
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" <tr>\n",
" <th>166422</th>\n",
" <td>25</td>\n",
" <td>female</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.91</td>\n",
" <td>45.36</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166423</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.60</td>\n",
" <td>68.04</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166424</th>\n",
" <td>35</td>\n",
" <td>male</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.75</td>\n",
" <td>86.18</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>166425 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" age sex income education sexual_orientation height weight \\\n",
"0 55 female 5 2 other 1.55 83.01 \n",
"1 65 female 8 1 heterosexual 1.65 78.02 \n",
"2 35 female 8 4 heterosexual 1.65 77.11 \n",
"3 55 male 8 4 heterosexual 1.83 81.65 \n",
"4 55 female 8 4 heterosexual 1.80 76.66 \n",
"... ... ... ... ... ... ... ... \n",
"166420 45 female 8 3 heterosexual 1.63 86.18 \n",
"166421 25 male 7 2 heterosexual 1.78 86.18 \n",
"166422 25 female 1 2 heterosexual 1.91 45.36 \n",
"166423 35 female 5 4 heterosexual 1.60 68.04 \n",
"166424 35 male 7 2 heterosexual 1.75 86.18 \n",
"\n",
" health no_doctor exercise sleep \n",
"0 2 True True 7 \n",
"1 3 False False 8 \n",
"2 4 True True 7 \n",
"3 5 False True 8 \n",
"4 4 False True 8 \n",
"... ... ... ... ... \n",
"166420 1 False False 6 \n",
"166421 4 False True 6 \n",
"166422 1 False False 8 \n",
"166423 4 True True 6 \n",
"166424 3 False False 8 \n",
"\n",
"[166425 rows x 11 columns]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people"
]
},
{
"cell_type": "markdown",
"id": "7fab76ef-d453-4568-a916-4d4c29535a42",
"metadata": {},
"source": [
"### 1.2 Descriptive Statistics\n",
"\n",
"#### Demo\n",
"\n",
"Let's get a sense of the data contained in some of the columns. For categorical data like `generation`, it makes sense to look at value counts--showing us how many of each category there are. You can use the optional keyword `normalize=True` to see percentage of total instead of frequencies. "
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "9afca362-9edc-423c-981b-dc42107d5de0",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1 0.20750\n",
"5 0.20625\n",
"3 0.20000\n",
"4 0.15125\n",
"2 0.13250\n",
"6 0.10250\n",
"Name: generation, dtype: float64"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon.generation.value_counts(normalize=True)"
]
},
{
"cell_type": "markdown",
"id": "a9b98eee-bdc2-4c63-bab2-ee82e2466d0f",
"metadata": {},
"source": [
"For numeric data, we could start by looking at the mean value. We can select multiple columns and get all the column means at once."
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "5fe580d0-5939-4152-9f8c-4c32d35a4479",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"hp 69.25875\n",
"attack 79.00125\n",
"defense 73.84250\n",
"speed 68.27750\n",
"dtype: float64"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon[[\"hp\", \"attack\", \"defense\", \"speed\"]].mean()"
]
},
{
"cell_type": "markdown",
"id": "0d8e6e78-fcfc-4c38-a418-545fe4216a44",
"metadata": {},
"source": [
"We can also compute the mean of boolean data. In this case, True will map to 1 and False will map to 0. So the mean value equals the percentage of data which is True. "
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "dc69ef53-70cd-4ae0-80e7-c9c8e28de76f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.08125"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon.legendary.mean()"
]
},
{
"cell_type": "markdown",
"id": "69333e87-8df2-4b46-9005-2b8c9df3a7b4",
"metadata": {},
"source": [
"Just over 8% of Pokemon are legendary."
]
},
{
"cell_type": "markdown",
"id": "f563d97d-d9d3-4f2d-a46a-5d5dfc6382de",
"metadata": {},
"source": [
"#### Your turn\n",
"\n",
"**1.2.0.** In this survey, people are grouped into age bands of 18-24, 25-34, 35-44, 45-54, 55-64, and 65+, with the lower bound reported. What percentage of people are in each age band? (When we talk about \"people\" in this lab, we're referring to the people who responded to the survey, not the whole US population.)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "8fbcc766-8399-4f93-a6c8-e0607250a72a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"65 0.336326\n",
"55 0.206369\n",
"45 0.157669\n",
"35 0.135527\n",
"25 0.108866\n",
"18 0.055244\n",
"Name: age, dtype: float64"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people.age.value_counts(normalize=True)\n",
"\n"
]
},
{
"cell_type": "markdown",
"id": "38006e7b-4771-4c29-86a8-19d04a50fc25",
"metadata": {},
"source": [
"**1.2.1.** What are the mean height and weight of people in this survey?"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "b7f910c8-3d40-49ae-b270-678734c04100",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(1.7050816283611236, 83.05358750187773)"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people.height.mean(), people.weight.mean()"
]
},
{
"cell_type": "markdown",
"id": "f74634bb-8664-46e4-b371-6f45cbb7c8ef",
"metadata": {},
"source": [
"**1.2.2.** The `exercise` column indicates whether a person has done any physical activity or exercise in the last 30 days, outside of work. What percentage of people have done exercise?"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "f3891188-a85f-4089-8388-d4d81c7438ad",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.7858014120474688"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people.exercise.mean()\n"
]
},
{
"cell_type": "markdown",
"id": "f6082e65-321c-4ee0-9457-74f9bb1b0363",
"metadata": {},
"source": [
"### 1.3 Filtering\n",
"\n",
"Sometimes we're just interested in a selection of the data set. The way to do this is to create a boolean series, and then use this to select which rows you want to include. Vocabulary note: A dataframe is two-dimensional, with rows and columns. A series (a single row or a single column) is one-dimensional. \n",
"\n",
"#### Demo\n",
"`pokemon.legendary` is already boolean, so we can use this to select just the legendary pokémon. "
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "12c0c6c9-c07b-4183-82f6-5e346c74aac9",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>type</th>\n",
" <th>subtype</th>\n",
" <th>total</th>\n",
" <th>hp</th>\n",
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" <th>defense</th>\n",
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" <tr>\n",
" <th>156</th>\n",
" <td>Articuno</td>\n",
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" <td>90</td>\n",
" <td>85</td>\n",
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" <td>95</td>\n",
" <td>125</td>\n",
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" <tr>\n",
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" <td>90</td>\n",
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" <tr>\n",
" <th>158</th>\n",
" <td>Moltres</td>\n",
" <td>Fire</td>\n",
" <td>Flying</td>\n",
" <td>580</td>\n",
" <td>90</td>\n",
" <td>100</td>\n",
" <td>90</td>\n",
" <td>125</td>\n",
" <td>85</td>\n",
" <td>90</td>\n",
" <td>1</td>\n",
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" <tr>\n",
" <th>162</th>\n",
" <td>Mewtwo</td>\n",
" <td>Psychic</td>\n",
" <td>NaN</td>\n",
" <td>680</td>\n",
" <td>106</td>\n",
" <td>110</td>\n",
" <td>90</td>\n",
" <td>154</td>\n",
" <td>90</td>\n",
" <td>130</td>\n",
" <td>1</td>\n",
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" </tr>\n",
" <tr>\n",
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" <td>MewtwoMega Mewtwo X</td>\n",
" <td>Psychic</td>\n",
" <td>Fighting</td>\n",
" <td>780</td>\n",
" <td>106</td>\n",
" <td>190</td>\n",
" <td>100</td>\n",
" <td>154</td>\n",
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" <tr>\n",
" <th>795</th>\n",
" <td>Diancie</td>\n",
" <td>Rock</td>\n",
" <td>Fairy</td>\n",
" <td>600</td>\n",
" <td>50</td>\n",
" <td>100</td>\n",
" <td>150</td>\n",
" <td>100</td>\n",
" <td>150</td>\n",
" <td>50</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>796</th>\n",
" <td>DiancieMega Diancie</td>\n",
" <td>Rock</td>\n",
" <td>Fairy</td>\n",
" <td>700</td>\n",
" <td>50</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>110</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>797</th>\n",
" <td>HoopaHoopa Confined</td>\n",
" <td>Psychic</td>\n",
" <td>Ghost</td>\n",
" <td>600</td>\n",
" <td>80</td>\n",
" <td>110</td>\n",
" <td>60</td>\n",
" <td>150</td>\n",
" <td>130</td>\n",
" <td>70</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>798</th>\n",
" <td>HoopaHoopa Unbound</td>\n",
" <td>Psychic</td>\n",
" <td>Dark</td>\n",
" <td>680</td>\n",
" <td>80</td>\n",
" <td>160</td>\n",
" <td>60</td>\n",
" <td>170</td>\n",
" <td>130</td>\n",
" <td>80</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>799</th>\n",
" <td>Volcanion</td>\n",
" <td>Fire</td>\n",
" <td>Water</td>\n",
" <td>600</td>\n",
" <td>80</td>\n",
" <td>110</td>\n",
" <td>120</td>\n",
" <td>130</td>\n",
" <td>90</td>\n",
" <td>70</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>65 rows × 12 columns</p>\n",
"</div>"
],
"text/plain": [
" name type subtype total hp attack defense \\\n",
"156 Articuno Ice Flying 580 90 85 100 \n",
"157 Zapdos Electric Flying 580 90 90 85 \n",
"158 Moltres Fire Flying 580 90 100 90 \n",
"162 Mewtwo Psychic NaN 680 106 110 90 \n",
"163 MewtwoMega Mewtwo X Psychic Fighting 780 106 190 100 \n",
".. ... ... ... ... ... ... ... \n",
"795 Diancie Rock Fairy 600 50 100 150 \n",
"796 DiancieMega Diancie Rock Fairy 700 50 160 110 \n",
"797 HoopaHoopa Confined Psychic Ghost 600 80 110 60 \n",
"798 HoopaHoopa Unbound Psychic Dark 680 80 160 60 \n",
"799 Volcanion Fire Water 600 80 110 120 \n",
"\n",
" special_attack special_defense speed generation legendary \n",
"156 95 125 85 1 True \n",
"157 125 90 100 1 True \n",
"158 125 85 90 1 True \n",
"162 154 90 130 1 True \n",
"163 154 100 130 1 True \n",
".. ... ... ... ... ... \n",
"795 100 150 50 6 True \n",
"796 160 110 110 6 True \n",
"797 150 130 70 6 True \n",
"798 170 130 80 6 True \n",
"799 130 90 70 6 True \n",
"\n",
"[65 rows x 12 columns]"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"legendary = pokemon[pokemon.legendary]\n",
"legendary"
]
},
{
"cell_type": "markdown",
"id": "b4ad804a-f5f0-441f-bb83-51f360c1c154",
"metadata": {},
"source": [
"Let's get all the ice pokémon. We can create a boolean series from another series..."
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "5d089acf-7b76-4f91-8803-42a4a9a11e3e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 False\n",
"1 False\n",
"2 False\n",
"3 False\n",
"4 False\n",
" ... \n",
"795 False\n",
"796 False\n",
"797 False\n",
"798 False\n",
"799 False\n",
"Name: type, Length: 800, dtype: bool"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon.type == \"Ice\""
]
},
{
"cell_type": "markdown",
"id": "a5ea9e89-f466-48de-9133-346c99f4a6c1",
"metadata": {},
"source": [
"And then use this series to select just the ice pokémon. "
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "510fa0fc-2b38-4725-9bbf-ec57d62792be",
"metadata": {},
"outputs": [
{
"data": {
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" <th>133</th>\n",
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" <th>238</th>\n",
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" <td>250</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>239</th>\n",
" <td>Piloswine</td>\n",
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" <td>450</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
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" <tr>\n",
" <th>243</th>\n",
" <td>Delibird</td>\n",
" <td>Ice</td>\n",
" <td>Flying</td>\n",
" <td>330</td>\n",
" <td>45</td>\n",
" <td>55</td>\n",
" <td>45</td>\n",
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" <tr>\n",
" <th>257</th>\n",
" <td>Smoochum</td>\n",
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" <td>305</td>\n",
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" <td>30</td>\n",
" <td>15</td>\n",
" <td>85</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>395</th>\n",
" <td>Snorunt</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>300</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>396</th>\n",
" <td>Glalie</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>480</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>397</th>\n",
" <td>GlalieMega Glalie</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>580</td>\n",
" <td>80</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
" <td>100</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>398</th>\n",
" <td>Spheal</td>\n",
" <td>Ice</td>\n",
" <td>Water</td>\n",
" <td>290</td>\n",
" <td>70</td>\n",
" <td>40</td>\n",
" <td>50</td>\n",
" <td>55</td>\n",
" <td>50</td>\n",
" <td>25</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>399</th>\n",
" <td>Sealeo</td>\n",
" <td>Ice</td>\n",
" <td>Water</td>\n",
" <td>410</td>\n",
" <td>90</td>\n",
" <td>60</td>\n",
" <td>70</td>\n",
" <td>75</td>\n",
" <td>70</td>\n",
" <td>45</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>400</th>\n",
" <td>Walrein</td>\n",
" <td>Ice</td>\n",
" <td>Water</td>\n",
" <td>530</td>\n",
" <td>110</td>\n",
" <td>80</td>\n",
" <td>90</td>\n",
" <td>95</td>\n",
" <td>90</td>\n",
" <td>65</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>415</th>\n",
" <td>Regice</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>580</td>\n",
" <td>80</td>\n",
" <td>50</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>200</td>\n",
" <td>50</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>522</th>\n",
" <td>Glaceon</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>525</td>\n",
" <td>65</td>\n",
" <td>60</td>\n",
" <td>110</td>\n",
" <td>130</td>\n",
" <td>95</td>\n",
" <td>65</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>524</th>\n",
" <td>Mamoswine</td>\n",
" <td>Ice</td>\n",
" <td>Ground</td>\n",
" <td>530</td>\n",
" <td>110</td>\n",
" <td>130</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>60</td>\n",
" <td>80</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>530</th>\n",
" <td>Froslass</td>\n",
" <td>Ice</td>\n",
" <td>Ghost</td>\n",
" <td>480</td>\n",
" <td>70</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>110</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>643</th>\n",
" <td>Vanillite</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>305</td>\n",
" <td>36</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>65</td>\n",
" <td>60</td>\n",
" <td>44</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>644</th>\n",
" <td>Vanillish</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>395</td>\n",
" <td>51</td>\n",
" <td>65</td>\n",
" <td>65</td>\n",
" <td>80</td>\n",
" <td>75</td>\n",
" <td>59</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>645</th>\n",
" <td>Vanilluxe</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>535</td>\n",
" <td>71</td>\n",
" <td>95</td>\n",
" <td>85</td>\n",
" <td>110</td>\n",
" <td>95</td>\n",
" <td>79</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>674</th>\n",
" <td>Cubchoo</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>305</td>\n",
" <td>55</td>\n",
" <td>70</td>\n",
" <td>40</td>\n",
" <td>60</td>\n",
" <td>40</td>\n",
" <td>40</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>675</th>\n",
" <td>Beartic</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>485</td>\n",
" <td>95</td>\n",
" <td>110</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>80</td>\n",
" <td>50</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>676</th>\n",
" <td>Cryogonal</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>485</td>\n",
" <td>70</td>\n",
" <td>50</td>\n",
" <td>30</td>\n",
" <td>95</td>\n",
" <td>135</td>\n",
" <td>105</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>788</th>\n",
" <td>Bergmite</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>304</td>\n",
" <td>55</td>\n",
" <td>69</td>\n",
" <td>85</td>\n",
" <td>32</td>\n",
" <td>35</td>\n",
" <td>28</td>\n",
" <td>6</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>789</th>\n",
" <td>Avalugg</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>514</td>\n",
" <td>95</td>\n",
" <td>117</td>\n",
" <td>184</td>\n",
" <td>44</td>\n",
" <td>46</td>\n",
" <td>28</td>\n",
" <td>6</td>\n",
" <td>False</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name type subtype total hp attack defense \\\n",
"133 Jynx Ice Psychic 455 65 50 35 \n",
"156 Articuno Ice Flying 580 90 85 100 \n",
"238 Swinub Ice Ground 250 50 50 40 \n",
"239 Piloswine Ice Ground 450 100 100 80 \n",
"243 Delibird Ice Flying 330 45 55 45 \n",
"257 Smoochum Ice Psychic 305 45 30 15 \n",
"395 Snorunt Ice NaN 300 50 50 50 \n",
"396 Glalie Ice NaN 480 80 80 80 \n",
"397 GlalieMega Glalie Ice NaN 580 80 120 80 \n",
"398 Spheal Ice Water 290 70 40 50 \n",
"399 Sealeo Ice Water 410 90 60 70 \n",
"400 Walrein Ice Water 530 110 80 90 \n",
"415 Regice Ice NaN 580 80 50 100 \n",
"522 Glaceon Ice NaN 525 65 60 110 \n",
"524 Mamoswine Ice Ground 530 110 130 80 \n",
"530 Froslass Ice Ghost 480 70 80 70 \n",
"643 Vanillite Ice NaN 305 36 50 50 \n",
"644 Vanillish Ice NaN 395 51 65 65 \n",
"645 Vanilluxe Ice NaN 535 71 95 85 \n",
"674 Cubchoo Ice NaN 305 55 70 40 \n",
"675 Beartic Ice NaN 485 95 110 80 \n",
"676 Cryogonal Ice NaN 485 70 50 30 \n",
"788 Bergmite Ice NaN 304 55 69 85 \n",
"789 Avalugg Ice NaN 514 95 117 184 \n",
"\n",
" special_attack special_defense speed generation legendary \n",
"133 115 95 95 1 False \n",
"156 95 125 85 1 True \n",
"238 30 30 50 2 False \n",
"239 60 60 50 2 False \n",
"243 65 45 75 2 False \n",
"257 85 65 65 2 False \n",
"395 50 50 50 3 False \n",
"396 80 80 80 3 False \n",
"397 120 80 100 3 False \n",
"398 55 50 25 3 False \n",
"399 75 70 45 3 False \n",
"400 95 90 65 3 False \n",
"415 100 200 50 3 True \n",
"522 130 95 65 4 False \n",
"524 70 60 80 4 False \n",
"530 80 70 110 4 False \n",
"643 65 60 44 5 False \n",
"644 80 75 59 5 False \n",
"645 110 95 79 5 False \n",
"674 60 40 40 5 False \n",
"675 70 80 50 5 False \n",
"676 95 135 105 5 False \n",
"788 32 35 28 6 False \n",
"789 44 46 28 6 False "
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ice = pokemon[pokemon.type == \"Ice\"]\n",
"ice"
]
},
{
"cell_type": "markdown",
"id": "0af5f534-0bec-4577-beee-29b350102265",
"metadata": {},
"source": [
"Let's get the high-speed ice pokémon. You can join conditions together using the `&` (and) and `|` (or) operators. `~` means \"not\", so `pokemon[~(pokemon.type == \"Ice\")]` would select all the non-ice pokémon. Due to order of operations, each condition needs to be wrapped in parentheses."
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "05d4c5c2-c6b4-4795-9799-c884b15445a1",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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" vertical-align: middle;\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>type</th>\n",
" <th>subtype</th>\n",
" <th>total</th>\n",
" <th>hp</th>\n",
" <th>attack</th>\n",
" <th>defense</th>\n",
" <th>special_attack</th>\n",
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" <th>speed</th>\n",
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" <tr>\n",
" <th>133</th>\n",
" <td>Jynx</td>\n",
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" <td>455</td>\n",
" <td>65</td>\n",
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" <td>115</td>\n",
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" <td>95</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>156</th>\n",
" <td>Articuno</td>\n",
" <td>Ice</td>\n",
" <td>Flying</td>\n",
" <td>580</td>\n",
" <td>90</td>\n",
" <td>85</td>\n",
" <td>100</td>\n",
" <td>95</td>\n",
" <td>125</td>\n",
" <td>85</td>\n",
" <td>1</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>396</th>\n",
" <td>Glalie</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>480</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
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" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>397</th>\n",
" <td>GlalieMega Glalie</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>580</td>\n",
" <td>80</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
" <td>100</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
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" <tr>\n",
" <th>524</th>\n",
" <td>Mamoswine</td>\n",
" <td>Ice</td>\n",
" <td>Ground</td>\n",
" <td>530</td>\n",
" <td>110</td>\n",
" <td>130</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
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" <th>530</th>\n",
" <td>Froslass</td>\n",
" <td>Ice</td>\n",
" <td>Ghost</td>\n",
" <td>480</td>\n",
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" <td>4</td>\n",
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" <th>676</th>\n",
" <td>Cryogonal</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>485</td>\n",
" <td>70</td>\n",
" <td>50</td>\n",
" <td>30</td>\n",
" <td>95</td>\n",
" <td>135</td>\n",
" <td>105</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name type subtype total hp attack defense \\\n",
"133 Jynx Ice Psychic 455 65 50 35 \n",
"156 Articuno Ice Flying 580 90 85 100 \n",
"396 Glalie Ice NaN 480 80 80 80 \n",
"397 GlalieMega Glalie Ice NaN 580 80 120 80 \n",
"524 Mamoswine Ice Ground 530 110 130 80 \n",
"530 Froslass Ice Ghost 480 70 80 70 \n",
"676 Cryogonal Ice NaN 485 70 50 30 \n",
"\n",
" special_attack special_defense speed generation legendary \n",
"133 115 95 95 1 False \n",
"156 95 125 85 1 True \n",
"396 80 80 80 3 False \n",
"397 120 80 100 3 False \n",
"524 70 60 80 4 False \n",
"530 80 70 110 4 False \n",
"676 95 135 105 5 False "
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"high_speed_ice = pokemon[(pokemon.type == \"Ice\") & (pokemon.speed >= 80)]\n",
"high_speed_ice"
]
},
{
"cell_type": "markdown",
"id": "c84dc7ce-24f2-4ac7-92d7-99ed331488e0",
"metadata": {},
"source": [
"You could get the pokémon who are fire or ice by selecting `pokemon[(pokemon.type == \"Fire\") | (pokemon.type == \"Ice\")]`."
]
},
{
"cell_type": "markdown",
"id": "1f0e9625-b194-450d-b003-b88798cc2f45",
"metadata": {},
"source": [
"#### Your turn\n",
"\n",
"**1.3.0.** `no_doctor` indicates whether there was a time in the last year when the person needed to see a doctor, but could not afford to do so. Create a dataframe containing only these people. "
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "198cb0c6-3f43-43c2-9eee-3939c12ea537",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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" <thead>\n",
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" <th></th>\n",
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" <th>sex</th>\n",
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" <th>education</th>\n",
" <th>sexual_orientation</th>\n",
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" <th>sleep</th>\n",
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" <th>2</th>\n",
" <td>35</td>\n",
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" <th>24</th>\n",
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" <td>10</td>\n",
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" <th>66</th>\n",
" <td>45</td>\n",
" <td>female</td>\n",
" <td>6</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.57</td>\n",
" <td>72.57</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
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" <tr>\n",
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" <td>18</td>\n",
" <td>male</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.68</td>\n",
" <td>68.04</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166409</th>\n",
" <td>25</td>\n",
" <td>male</td>\n",
" <td>6</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.57</td>\n",
" <td>58.51</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166414</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>3</td>\n",
" <td>heterosexual</td>\n",
" <td>1.63</td>\n",
" <td>88.45</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166416</th>\n",
" <td>65</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.50</td>\n",
" <td>55.34</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166423</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.60</td>\n",
" <td>68.04</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>13784 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" age sex income education sexual_orientation height weight \\\n",
"0 55 female 5 2 other 1.55 83.01 \n",
"2 35 female 8 4 heterosexual 1.65 77.11 \n",
"24 35 male 8 3 heterosexual 1.73 94.35 \n",
"50 35 female 4 2 heterosexual 1.78 81.65 \n",
"66 45 female 6 4 heterosexual 1.57 72.57 \n",
"... ... ... ... ... ... ... ... \n",
"166407 18 male 5 2 heterosexual 1.68 68.04 \n",
"166409 25 male 6 2 heterosexual 1.57 58.51 \n",
"166414 55 female 8 3 heterosexual 1.63 88.45 \n",
"166416 65 female 5 2 heterosexual 1.50 55.34 \n",
"166423 35 female 5 4 heterosexual 1.60 68.04 \n",
"\n",
" health no_doctor exercise sleep \n",
"0 2 True True 7 \n",
"2 4 True True 7 \n",
"24 4 True False 8 \n",
"50 4 True False 10 \n",
"66 4 True True 7 \n",
"... ... ... ... ... \n",
"166407 3 True True 8 \n",
"166409 4 True False 7 \n",
"166414 3 True False 6 \n",
"166416 3 True False 6 \n",
"166423 4 True True 6 \n",
"\n",
"[13784 rows x 11 columns]"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"no_doctor= people[people.no_doctor]\n",
"no_doctor"
]
},
{
"cell_type": "markdown",
"id": "9d213707-a15b-4751-8df9-48aa568af209",
"metadata": {},
"source": [
"**1.3.1.** `health` asks people for their general health, with the meanings of numbers shown below. Create a dataframe which contains people whose general health is good or better. \n",
"\n",
"| number | health status | \n",
"| ------ | ----------- |\n",
"| 1 | Poor |\n",
"| 2 | Fair |\n",
"| 3 | Good |\n",
"| 4 | Very good |\n",
"| 5 | Excellent |"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "8a8c1ad6-4c1e-4996-ab5e-5212dadb1851",
"metadata": {},
"outputs": [
{
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" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>65</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>1</td>\n",
" <td>heterosexual</td>\n",
" <td>1.65</td>\n",
" <td>78.02</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.65</td>\n",
" <td>77.11</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>55</td>\n",
" <td>male</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.83</td>\n",
" <td>81.65</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.80</td>\n",
" <td>76.66</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>55</td>\n",
" <td>male</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.80</td>\n",
" <td>74.84</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166418</th>\n",
" <td>55</td>\n",
" <td>male</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.57</td>\n",
" <td>63.50</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166419</th>\n",
" <td>45</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.52</td>\n",
" <td>68.04</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166421</th>\n",
" <td>25</td>\n",
" <td>male</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.78</td>\n",
" <td>86.18</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166423</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.60</td>\n",
" <td>68.04</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166424</th>\n",
" <td>35</td>\n",
" <td>male</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.75</td>\n",
" <td>86.18</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>142249 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" age sex income education sexual_orientation height weight \\\n",
"1 65 female 8 1 heterosexual 1.65 78.02 \n",
"2 35 female 8 4 heterosexual 1.65 77.11 \n",
"3 55 male 8 4 heterosexual 1.83 81.65 \n",
"4 55 female 8 4 heterosexual 1.80 76.66 \n",
"5 55 male 8 4 heterosexual 1.80 74.84 \n",
"... ... ... ... ... ... ... ... \n",
"166418 55 male 7 2 heterosexual 1.57 63.50 \n",
"166419 45 female 8 2 heterosexual 1.52 68.04 \n",
"166421 25 male 7 2 heterosexual 1.78 86.18 \n",
"166423 35 female 5 4 heterosexual 1.60 68.04 \n",
"166424 35 male 7 2 heterosexual 1.75 86.18 \n",
"\n",
" health no_doctor exercise sleep \n",
"1 3 False False 8 \n",
"2 4 True True 7 \n",
"3 5 False True 8 \n",
"4 4 False True 8 \n",
"5 5 False True 7 \n",
"... ... ... ... ... \n",
"166418 3 False True 8 \n",
"166419 3 False True 7 \n",
"166421 4 False True 6 \n",
"166423 4 True True 6 \n",
"166424 3 False False 8 \n",
"\n",
"[142249 rows x 11 columns]"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"good_health = people[people.health >=3]\n",
"good_health"
]
},
{
"cell_type": "markdown",
"id": "7add542b-bfd2-481a-b5b4-4e1ca744078a",
"metadata": {},
"source": [
"**1.3.2.**. `education` indicates the highest level of education completed, with codes as follows. Create a dataframe which only contains female college graduates who needed a doctor but couldn't afford one. (The survey asked people for their current sex, and only had options for male and female.)\n",
"\n",
"| number | education level | \n",
"| ------ | ----------- |\n",
"| 1 | Did not graduate from high school |\n",
"| 2 | Graduated from high school |\n",
"| 3 | Attended some college |\n",
"| 4 | Graduated from college |"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "315682ae-7d54-4d78-9a63-d23c83ba1576",
"metadata": {},
"outputs": [
{
"data": {
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"<div>\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>age</th>\n",
" <th>sex</th>\n",
" <th>income</th>\n",
" <th>education</th>\n",
" <th>sexual_orientation</th>\n",
" <th>height</th>\n",
" <th>weight</th>\n",
" <th>health</th>\n",
" <th>no_doctor</th>\n",
" <th>exercise</th>\n",
" <th>sleep</th>\n",
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" <td>6</td>\n",
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" <td>heterosexual</td>\n",
" <td>1.70</td>\n",
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" <td>65</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>259</th>\n",
" <td>65</td>\n",
" <td>female</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.57</td>\n",
" <td>56.70</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
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" <tr>\n",
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" <td>True</td>\n",
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" <tr>\n",
" <th>166219</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>other</td>\n",
" <td>1.52</td>\n",
" <td>59.87</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166272</th>\n",
" <td>25</td>\n",
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" <td>1.52</td>\n",
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" <tr>\n",
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" <td>45</td>\n",
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" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.52</td>\n",
" <td>49.90</td>\n",
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" <td>True</td>\n",
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" <tr>\n",
" <th>166423</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.60</td>\n",
" <td>68.04</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>2321 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" age sex income education sexual_orientation height weight \\\n",
"2 35 female 8 4 heterosexual 1.65 77.11 \n",
"66 45 female 6 4 heterosexual 1.57 72.57 \n",
"135 55 female 6 4 heterosexual 1.70 81.65 \n",
"146 65 female 5 4 heterosexual 1.55 72.57 \n",
"259 65 female 4 4 heterosexual 1.57 56.70 \n",
"... ... ... ... ... ... ... ... \n",
"166121 35 female 8 4 heterosexual 1.65 136.08 \n",
"166219 55 female 5 4 other 1.52 59.87 \n",
"166272 25 female 8 4 heterosexual 1.52 98.88 \n",
"166381 45 female 5 4 heterosexual 1.52 49.90 \n",
"166423 35 female 5 4 heterosexual 1.60 68.04 \n",
"\n",
" health no_doctor exercise sleep \n",
"2 4 True True 7 \n",
"66 4 True True 7 \n",
"135 4 True True 7 \n",
"146 5 True True 7 \n",
"259 3 True True 6 \n",
"... ... ... ... ... \n",
"166121 4 True True 5 \n",
"166219 3 True True 5 \n",
"166272 3 True True 8 \n",
"166381 5 True True 6 \n",
"166423 4 True True 6 \n",
"\n",
"[2321 rows x 11 columns]"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"female_no_doctor = people[(people.education ==4) & (people.sex == \"female\") & (people.no_doctor)]\n",
"female_no_doctor"
]
},
{
"cell_type": "markdown",
"id": "646d1148-7d94-4521-a04a-fbf17ade1235",
"metadata": {},
"source": [
"### 1.4. Grouping\n",
"\n",
"Now things get crazy. You can group a dataframe using one or more columns, and then compare their statistics. \n",
"\n",
"#### Demo\n",
"\n",
"Do different types of pokémon move at different speeds? We'll use `sort_values` to put these in order from slow to fast."
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "069ea0ab-eff6-4985-9f46-db956fe1df91",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"type\n",
"Fairy 48.588235\n",
"Steel 55.259259\n",
"Rock 55.909091\n",
"Bug 61.681159\n",
"Grass 61.928571\n",
"Ice 63.458333\n",
"Poison 63.571429\n",
"Ground 63.906250\n",
"Ghost 64.343750\n",
"Water 65.964286\n",
"Fighting 66.074074\n",
"Normal 71.551020\n",
"Fire 74.442308\n",
"Dark 76.161290\n",
"Psychic 81.491228\n",
"Dragon 83.031250\n",
"Electric 84.500000\n",
"Flying 102.500000\n",
"Name: speed, dtype: float64"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon.groupby(\"type\").speed.mean().sort_values()"
]
},
{
"cell_type": "markdown",
"id": "bdc801b7-d3ae-45bb-80f4-ebeb474e20a1",
"metadata": {},
"source": [
"Do types differ in other stats? Let's sort by hit points. "
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "5c420c0e-b5d2-49ae-ab98-3305ee076169",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
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" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>hp</th>\n",
" <th>attack</th>\n",
" <th>defense</th>\n",
" </tr>\n",
" <tr>\n",
" <th>type</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Bug</th>\n",
" <td>56.884058</td>\n",
" <td>70.971014</td>\n",
" <td>70.724638</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Electric</th>\n",
" <td>59.795455</td>\n",
" <td>69.090909</td>\n",
" <td>66.295455</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Ghost</th>\n",
" <td>64.437500</td>\n",
" <td>73.781250</td>\n",
" <td>81.187500</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Steel</th>\n",
" <td>65.222222</td>\n",
" <td>92.703704</td>\n",
" <td>126.370370</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Rock</th>\n",
" <td>65.363636</td>\n",
" <td>92.863636</td>\n",
" <td>100.795455</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Dark</th>\n",
" <td>66.806452</td>\n",
" <td>88.387097</td>\n",
" <td>70.225806</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Poison</th>\n",
" <td>67.250000</td>\n",
" <td>74.678571</td>\n",
" <td>68.821429</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Grass</th>\n",
" <td>67.271429</td>\n",
" <td>73.214286</td>\n",
" <td>70.800000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fighting</th>\n",
" <td>69.851852</td>\n",
" <td>96.777778</td>\n",
" <td>65.925926</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fire</th>\n",
" <td>69.903846</td>\n",
" <td>84.769231</td>\n",
" <td>67.769231</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Psychic</th>\n",
" <td>70.631579</td>\n",
" <td>71.456140</td>\n",
" <td>67.684211</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Flying</th>\n",
" <td>70.750000</td>\n",
" <td>78.750000</td>\n",
" <td>66.250000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Ice</th>\n",
" <td>72.000000</td>\n",
" <td>72.750000</td>\n",
" <td>71.416667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Water</th>\n",
" <td>72.062500</td>\n",
" <td>74.151786</td>\n",
" <td>72.946429</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Ground</th>\n",
" <td>73.781250</td>\n",
" <td>95.750000</td>\n",
" <td>84.843750</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fairy</th>\n",
" <td>74.117647</td>\n",
" <td>61.529412</td>\n",
" <td>65.705882</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Normal</th>\n",
" <td>77.275510</td>\n",
" <td>73.469388</td>\n",
" <td>59.846939</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Dragon</th>\n",
" <td>83.312500</td>\n",
" <td>112.125000</td>\n",
" <td>86.375000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" hp attack defense\n",
"type \n",
"Bug 56.884058 70.971014 70.724638\n",
"Electric 59.795455 69.090909 66.295455\n",
"Ghost 64.437500 73.781250 81.187500\n",
"Steel 65.222222 92.703704 126.370370\n",
"Rock 65.363636 92.863636 100.795455\n",
"Dark 66.806452 88.387097 70.225806\n",
"Poison 67.250000 74.678571 68.821429\n",
"Grass 67.271429 73.214286 70.800000\n",
"Fighting 69.851852 96.777778 65.925926\n",
"Fire 69.903846 84.769231 67.769231\n",
"Psychic 70.631579 71.456140 67.684211\n",
"Flying 70.750000 78.750000 66.250000\n",
"Ice 72.000000 72.750000 71.416667\n",
"Water 72.062500 74.151786 72.946429\n",
"Ground 73.781250 95.750000 84.843750\n",
"Fairy 74.117647 61.529412 65.705882\n",
"Normal 77.275510 73.469388 59.846939\n",
"Dragon 83.312500 112.125000 86.375000"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ptypes = pokemon.groupby(\"type\")\n",
"ptypes[[\"hp\", \"attack\", \"defense\"]].mean().sort_values(\"hp\")"
]
},
{
"cell_type": "markdown",
"id": "cc9a3d19-0ecd-487b-b34f-b748c44fc9c9",
"metadata": {},
"source": [
"Which type/subtype combinations are most likely to have legendary pokémon?"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "444a580d-e70c-48a1-bf87-77f98b8c9f85",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"type subtype \n",
"Electric Flying 0.600000\n",
"Rock Fairy 0.666667\n",
" Fighting 1.000000\n",
"Psychic Ghost 1.000000\n",
" Fire 1.000000\n",
"Steel Dragon 1.000000\n",
"Psychic Dark 1.000000\n",
"Steel Fighting 1.000000\n",
"Ground Fire 1.000000\n",
"Ghost Dragon 1.000000\n",
"Fire Water 1.000000\n",
" Steel 1.000000\n",
"Dragon Psychic 1.000000\n",
" Ice 1.000000\n",
" Fire 1.000000\n",
" Electric 1.000000\n",
"Name: legendary, dtype: float64"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"legendary_percentages = pokemon.groupby([\"type\", \"subtype\"]).legendary.mean().sort_values() \n",
"legendary_percentages[legendary_percentages > 0.5]"
]
},
{
"cell_type": "markdown",
"id": "de23775b-8670-4371-913d-d8fa1d1f3a76",
"metadata": {},
"source": [
"#### Your turn\n",
"\n",
"**1.4.0.** `income` records peoples' annual income, in the following bands. `sleep` records the average hours of sleep someone gets per night. Is there a difference in the average hours of sleep by income level?\n",
"\n",
"| number | annual income, in $1000 | \n",
"| ------ | ----------- |\n",
"| 1 | Less than 10 |\n",
"| 2 | 10-15 |\n",
"| 3 | 15-20 |\n",
"| 4 | 20-25 |\n",
"| 5 | 25-35 |\n",
"| 6 | 35-50 |\n",
"| 7 | 50-75 |\n",
"| 8 | More than 75 |"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "75c1ac4f-3914-4c0a-a156-2e084002df66",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"income\n",
"1 6.952208\n",
"2 6.985627\n",
"3 7.083274\n",
"4 7.079627\n",
"5 7.100286\n",
"6 7.055784\n",
"7 7.078495\n",
"8 7.074626\n",
"Name: sleep, dtype: float64"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"income = people.groupby([\"income\"])\n",
"income[\"sleep\"].mean()"
]
},
{
"cell_type": "markdown",
"id": "f6413f2b-26a0-4b70-976f-90e45558c4bb",
"metadata": {},
"source": [
"**1.4.0.** Is there a difference in peoples' income or general health, by sex and education level? "
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "d46df8a1-bbc2-45a4-9be1-cee1858cbf21",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th></th>\n",
" <th>income</th>\n",
" <th>health</th>\n",
" </tr>\n",
" <tr>\n",
" <th>education</th>\n",
" <th>sex</th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"2\" valign=\"top\">1</th>\n",
" <th>female</th>\n",
" <td>3.554701</td>\n",
" <td>2.848040</td>\n",
" </tr>\n",
" <tr>\n",
" <th>male</th>\n",
" <td>4.433009</td>\n",
" <td>3.031525</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"2\" valign=\"top\">2</th>\n",
" <th>female</th>\n",
" <td>5.049022</td>\n",
" <td>3.315797</td>\n",
" </tr>\n",
" <tr>\n",
" <th>male</th>\n",
" <td>5.742876</td>\n",
" <td>3.440818</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"2\" valign=\"top\">3</th>\n",
" <th>female</th>\n",
" <td>5.779390</td>\n",
" <td>3.483379</td>\n",
" </tr>\n",
" <tr>\n",
" <th>male</th>\n",
" <td>6.270230</td>\n",
" <td>3.549105</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"2\" valign=\"top\">4</th>\n",
" <th>female</th>\n",
" <td>6.960652</td>\n",
" <td>3.844340</td>\n",
" </tr>\n",
" <tr>\n",
" <th>male</th>\n",
" <td>7.190582</td>\n",
" <td>3.826512</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" income health\n",
"education sex \n",
"1 female 3.554701 2.848040\n",
" male 4.433009 3.031525\n",
"2 female 5.049022 3.315797\n",
" male 5.742876 3.440818\n",
"3 female 5.779390 3.483379\n",
" male 6.270230 3.549105\n",
"4 female 6.960652 3.844340\n",
" male 7.190582 3.826512"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"income_health = people.groupby([\"education\",\"sex\"])\n",
"list = [\"income\",\"health\"]\n",
"income_health[list].mean()"
]
},
{
"cell_type": "markdown",
"id": "931d602b-ddf4-4c8b-80e0-f886267cce76",
"metadata": {},
"source": [
"### 1.5. Plotting \n",
"\n",
"Pandas has excellent built-in plotting capabilities, but \n",
"we are going to use the [seaborn](https://seaborn.pydata.org/) library because it's a bit \n",
"more intuitive and produces more beautiful plots. `set_theme`, called here without any arguments, assigns the default color palette. "
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "b1e06e4f-6b9e-42af-a27c-dbb525a259ce",
"metadata": {},
"outputs": [],
"source": [
"import seaborn as sns\n",
"sns.set_theme()"
]
},
{
"cell_type": "markdown",
"id": "a15ad672-13e8-4bdd-bc31-a489a1730daf",
"metadata": {},
"source": [
"#### Demo\n",
"\n",
"**When you want to visualize the distribution of a series**, a [histogram](https://seaborn.pydata.org/generated/seaborn.histplot.html) puts data into bins and plots the number of data points in each bin.\n",
"\n",
"Let's see the distribution of pokémon attack values. Note how assigning `x=\"attack\"` spreads attack values over the x-axis, while `y=\"attack\"` spreads attack values over the y-axis. The number of bins is selected automatically, but you can specify this with the optional `bins` argument. "
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "5ce066fe-f81d-4b78-a394-c5c2f4dc9f46",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='attack', ylabel='Count'>"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.histplot(data=pokemon, x=\"attack\")"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "bceb253b-ef4f-4aa2-aef4-cab2b3ca6d59",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='Count', ylabel='attack'>"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.histplot(data=pokemon, y=\"attack\", bins=5)"
]
},
{
"cell_type": "markdown",
"id": "2aac9186-86c0-41db-a1c4-8719bb78b46b",
"metadata": {},
"source": [
"**When you want to compare the distribution of a numeric variable across categories**, a [barplot](https://seaborn.pydata.org/generated/seaborn.barplot.html) is a good choice. Choose one numeric column and one categorical column. \n",
"\n",
"Let's see pokémon hit points by legendary/non-legendary. `ci=\"sd\"` shows the standard deviation for each category. "
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "92be1ad0-12bb-49f0-a3f6-85fcfd98e943",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='legendary', ylabel='hp'>"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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AgFGIHwAAYBTiBwAAGIX4AQAARiF+AACAUYgfAABgFOIHAAAYhfgBAABG8a7qHc+cOaO1a9dqz549unDhgsLCwtSpUycNHDhQISEhd3NGSVJGRoZWrlyp3NxcRUdHa+zYsfrFL34hSTp+/Lhmz56tvXv3KjAwUE8//bT++7//W15eXnd9DgAA4NmqdOXnu+++U69evbRmzRr5+/urZcuW8vLy0ooVK9SnTx+dOHHirg65detWTZ06Vf3799eHH36o3r1768UXX9Rf/vIXXblyRcOGDZMkbdiwQTNmzNDvfvc7LV++/K7OAAAAaocqXfmZN2+eGjRooNTUVNWvX9+xPj8/X8OHD9f8+fO1ZMmSuzKg3W7XkiVL9Nxzz6l///6SpBdeeEHZ2dnas2eP8vLydOLECW3atEl169ZVs2bNdPbsWf3v//6vRo0aJV9f37syBwAAqB2qFD9fffWVUlJSnMJHkiIiIjR27FglJyffleEk6fDhw8rLy1OfPn2c1q9atUqSNGPGDLVq1Up169Z1bIuPj1dxcbFycnLUtm3bKh3X27v63g7l5cVbrYCf4unnh6fPD1Qndzk/qhQ/oaGhunjx4g23VVZWyt/f/46Gutbhw4clSZcvX9awYcN04MABRUVF6YUXXlBCQoJOnTqlyMhIp/uEh4dLkk6ePFml+LFaLQoNDbrz4QHctpCQAFePAKCauMv5XaX4GTNmjFJSUhQdHa0OHTo41h86dEhLlizR2LFj79qAxcXFkqTJkydr7NixmjhxorZt26bRo0dr9erVKi0tve4N1n5+fpKksrKyKh3TZrOrqOjynQ1+E15eVrf5AwC4m6KiElVW2lw9RpVxfgM/rTrP75CQgFu+slSl+MnIyFBZWZn69++vqKgoRUREqLCwUEeOHJHNZtPKlSu1cuVKSZLFYtGOHTuqchhJko+PjyRp2LBhSkxMlCQ9+OCDOnDggFavXi1/f3+Vl5c73edq9AQGBlb5uBUVnvvFF/BklZU2zj+glnKX87tK8RMVFaWoqCindY0bN1abNm3uylDXioiIkCQ1a9bMaf0DDzygTz/9VHFxcfrhhx+cthUUFDjdFwAA4Koqxc+rr74qSbp06ZIuXrwom+36imvYsOGdTfb/tWrVSkFBQfrqq6/08MMPO9b/8MMPio6OVmxsrDIyMlRcXKzg4GBJUmZmpoKCgtSiRYu7MgMAAKg9qhQ/ubm5SkpK0rfffvuT++Tk5FR5qGv5+/tr+PDhWr58uSIiItSmTRt9+OGH+vzzz5WWlqZ27dpp8eLFGj9+vCZOnKjjx4/rtdde09ChQ/k2dwAAcJ0qxc+MGTOUm5urUaNGKSoqSlZr9X7r2ujRoxUQEKBFixYpPz9fMTExWrp0qf793/9dkpSamqqZM2fqmWeeUd26dfWrX/1Ko0ePrtaZAACAZ6pS/Ozbt0/Tp0/XU089dZfH+WlDhgzRkCFDbrjtvvvu09tvv11jswAAAM9VpUs2QUFB1/2AQwAAAE9Qpfh58skntXbtWlVWVt7teQAAAKrVLb/s9dJLLzmWKyoqtGvXLvXo0UNt2rRRQIDzD/SyWCyaO3fu3ZsSAADgLrnl+MnKynK6ffVXSnz99dfX7WuxWO5wLAAAgOpxy/Gzc+fO6pwDAACgRrjHr1cFAACoIcQPAAAwCvEDAACMQvwAAACjED8AAMAoxA8AADAK8QMAAIxC/AAAAKMQPwAAwCjEDwAAMArxAwAAjEL8AAAAoxA/AADAKMQPAAAwCvEDAACMQvwAAACjED8AAMAoxA8AADAK8QMAAIxC/AAAAKMQPwAAwCjEDwAAMArxAwAAjEL8AAAAoxA/AADAKMQPAAAwCvEDAACMQvwAAACjED8AAMAoxA8AADAK8QMAAIxC/AAAAKMQPwAAwCjEDwAAMArxAwAAjEL8AAAAoxA/AADAKMQPAAAwCvEDAACMQvwAAACjED8AAMAoxA8AADAK8QNjefvXvWb5HtcNAgCoUcQPjFWncbx8QxrJN6SR6jT+d1ePAwCoIR4VP4cPH1b79u21efNmx7qcnBwNGDBA7dq1U0JCgtauXevCCeFJvP3rKvTfHlfovz3udBUIAFC7eUz8XLlyRRMnTtTly5cd6woLCzVkyBBFR0crPT1dY8aMUUpKitLT0104KQAAcGferh7gVi1dulTBwcFO6zZt2iQfHx/NmjVL3t7eiomJ0dGjR7Vy5Ur169fPRZMCAAB35hFXfvbu3auNGzdq3rx5Tuuzs7MVFxcnb+9/NFx8fLyOHDmiM2fO1PSYAADAA7j9lZ+ioiJNmjRJycnJatCggdO2U6dOqVmzZk7rwsPDJUknT57UvffeW+XjentXXxd6eXlEcwIu4ennh6fPD1Qndzk/3D5+ZsyYofbt26tPnz7XbSstLZWvr6/TOj8/P0lSWVlZlY9ptVoUGhpU5fsDqLqQkABXjwCgmrjL+e3W8ZORkaHs7Gy9//77N9zu7++v8vJyp3VXoycwMLDKx7XZ7Coquvyvd6wiLy+r2/wBANxNUVGJKittrh6jyji/gZ9Wned3SEjALV9Zcuv4SU9P19mzZ9W1a1en9dOnT9dHH32kyMhIFRQUOG27ejsiIuKOjl1R4blffAFPVllp4/wDail3Ob/dOn5SUlJUWlrqtK5nz54aN26c/vM//1Nbt27Vhg0bVFlZKS8vL0lSZmammjZtqrCwMFeMDAAA3Jx7vPPoJ0REROi+++5z+k+SwsLCFBERoX79+qm4uFhTp07VwYMHtXnzZqWlpWnkyJEunhwAALgrt46ffyUsLEypqak6fPiwEhMTtWzZMk2aNEmJiYmuHg0AALgpt37Z60a+//57p9tt2rTRxo0bXTQNAADwNB595QcAAOB2ET8AAMAoxA8AADAK8QMAAIxC/AAAAKMQPwAAwCjEDwAAMArxAwAAjEL8AAAAoxA/AADAKMQPAAAwCvEDAACMQvwAAACjED8AAMAoxA8AADAK8QMAAIxC/AAAAKMQPwAAwCjEDwAAMArxAwAAjEL8AAAAoxA/AADAKMQPAAAwCvEDAACMQvwAAACjED8AAMAoxA8AADAK8QMAAIxC/AAAAKMQPwAAwCjEDwAAMArxAwAAjEL8AAAAoxA/AADAKMQPAAAwCvEDAACMQvwAAACjED8AAMAoxA8AADAK8QMAAIxC/AAAAKMQPwAAwCjEDwAAMArxAwAAjEL8AAAAoxA/AADAKMQPAAAwCvEDAACMQvwAAACjED8AAMAoHhE/58+f17Rp09SlSxd16NBBzz77rLKzsx3bd+/erb59+6pt27Z64okn9OGHH7pwWgAA4M48In5efPFF/eUvf9Frr72m9PR0Pfjggxo2bJgOHTqkv//97xo5cqQ6d+6szZs365e//KUmTZqk3bt3u3psAADghrxdPcC/cvToUX3++edav369OnbsKEl65ZVXtGvXLr3//vs6e/asmjdvrqSkJElSTEyMDhw4oNTUVHXq1MmVowMAADfk9ld+QkNDtXLlSrVu3dqxzmKxyGKxqKioSNnZ2ddFTnx8vL788kvZ7faaHhcAALg5t7/yExISoscee8xp3bZt23T06FG9/PLL2rJliyIjI522h4eHq6SkRIWFhapXr16VjuvtXX1d6OXl9s0JuIynnx+ePj9Qndzl/HD7+Pln+/bt00svvaSePXuqa9euKi0tla+vr9M+V2+Xl5dX6RhWq0WhoUF3PCuA2xcSEuDqEQBUE3c5vz0qfnbs2KGJEyeqQ4cOSklJkST5+fldFzlXbwcEVO2DbLPZVVR0+c6GvQkvL6vb/AEA3E1RUYkqK22uHqPKOL+Bn1ad53dISMAtX1nymPh55513NGfOHD3xxBOaP3++4+pOgwYNVFBQ4LRvQUGBAgMDVadOnSofr6LCc7/4Ap6sstLG+QfUUu5yfrvHi2//wvr16zV79mz1799fr732mtPLXA8//LD27NnjtH9mZqY6dOggq9Ujnh4AAKhBbn/l5/Dhw5o7d6569OihkSNH6syZM45t/v7+GjhwoBITE5WSkqLExER99tln+uMf/6jU1FQXTg0AANyV28fPtm3bdOXKFX388cf6+OOPnbYlJiZq3rx5euONN7RgwQKtWbNGUVFRWrBgAT/jBwAA3JDbx8+oUaM0atSom+7TpUsXdenSpYYmAgAAnow3xQAAAKMQPwAAwCjEDwAAMArxAwAAjEL8AAAAoxA/AADAKMQPAAAwCvEDAACMQvwAAACjED8AAMAoxA8AADAK8QMAAIxC/AAAAKMQPwAAwCjEDwAAMArxAwAAjEL8AAAAoxA/AADAKMQPAAAwCvEDAACMQvwAAACjED8AAMAoxA8AADAK8QMAAIxC/AAAAKMQPwAAwCjEDwAAMArxAwAAjEL8AAAAoxA/AADAKMQPAAAwCvEDAACMQvwAAACjED8AAMAoxA8AADAK8QMAAIxC/AAAAKMQPwAAwCjEDwAAMArxAwAAjEL8AAAAoxA/AADAKMQPAAAwCvEDAACMQvwAAACjED8AAMAoxA8AADAK8QMAAIxC/AAAAKMQPwAAwCi1In5sNptef/11de7cWe3atdOIESOUm5vr6rEAAIAbqhXx88Ybb2j9+vWaPXu2NmzYIJvNpuHDh6u8vNzVowEAADfj8fFTXl6ut99+W+PGjVPXrl3VokULLVq0SKdOndL27dtdPR4AAHAz3q4e4E599913unTpkjp16uRYFxISopYtW2rv3r3q3bv3bT+m1WpRvXpBd3NMJxbLj/+fPCxBlZW2ajsO4Em8vH78t1jdugGy2108zB24en7/29PjZbdVunYYwE1YrF6Sqvf8tlott7yvx8fPqVOnJEkNGjRwWh8eHu7YdrssFou8vG79g1hVdYP9q/0YgKexWj3+grQkyScoxNUjAG7HXc5v95jiDpSUlEiSfH19ndb7+fmprKzMFSMBAAA35vHx4+//49WTf35zc1lZmQICAlwxEgAAcGMeHz9XX+4qKChwWl9QUKCIiAhXjAQAANyYx8dPixYtFBwcrKysLMe6oqIiHThwQLGxsS6cDAAAuCOPf8Ozr6+vBgwYoJSUFNWrV0+NGjXSggULFBkZqZ49e7p6PAAA4GY8Pn4kady4caqoqFBycrJKS0sVGxurVatWycfHx9WjAQAAN2Ox2z35J2oAAADcHo9/zw8AAMDtIH4AAIBRiB8AAGAU4gcAABiF+AEAAEYhfgAAgFFqxc/5gbkGDhyoPXv23HDb0KFDNXny5JvePysrS88995w++eQTRUVFVceIAO7QlClTtGXLlpvu8/3339fQNKgNiB94vF/84heaOnXqdev5xbZA7TB16lRNmDDBcftnP/uZXn75ZfXq1cuFU8GTET/weP7+/qpfv76rxwBQTerUqaM6depct47zHlXFe35Qq124cEHJycnq3LmzWrVqpU6dOik5OVklJSU33P/IkSMaNmyYOnbsqPbt22vYsGFOl9MvXryoV155RfHx8erYsaOee+45ffPNNzX1dADcwObNm9WjRw/9+te/VseOHTV69GhlZWWpefPmOn78uGO/f15nt9v11ltvqXv37mrbtq2efPJJvffee656GqhBXPlBrTZlyhTl5+dr2bJlCgsL0759+/Tyyy/rgQce0ODBg6/b/8UXX1SLFi2Unp6uiooKzZ8/X2PHjtXHH38su92uESNGyN/fXytWrFBwcLC2bt2qZ599Vps2bVLLli1r/gkCkCQdO3ZMBQUFysjIUGlpqc6dO/cv77No0SJ98MEHmjZtmu6//37t3btXM2bM0MWLF9W/f/8amBquQvzA473//vvatm2b07qOHTsqNTVVjz76qGJjY9W8eXNJUlRUlN555x398MMPN3ysY8eO6ZFHHlGjRo3k4+OjuXPn6tChQ7LZbMrKytL+/fuVmZmpe+65R9KPsbRv3z6tXbtW8+bNq9bnCeDmRo8ercaNG0v68SrPzVy+fFlpaWl67bXX1LVrV0lSdHS08vLytGrVKuKnliN+4PESEhI0ceJEp3X+/v6SpF/96lfauXOntmzZoiNHjujgwYM6fvy47r///hs+VlJSkubOnav169crLi5OnTt3Vu/evWW1WvXtt9/KbrerW7duTvcpLy9XWVlZ9Tw5ALesSZMmt7zvwYMHVVZWpgkTJshq/cc7QCoqKlReXq7S0lLH1xHUPsQPPF5QUJDuu+++69bbbDaNHDlSf/vb39S7d2/16tVLrVq10iuvvPKTj9W/f3898cQT+uyzz7R79269/vrrevPNN5WRkSGbzabg4GBt3rz5uvv5+vre1ecE4Pb9q1iprKx0LNvtdknS4sWLb/iPIc7p2o34Qa2Vk5OjP//5z9q0aZPatm0rSbpy5YqOHTvmuDR+rbNnz2r58uV6/vnn1bdvX/Xt21f5+fnq0qWL9uzZo2bNmqm4uFhXrlzRAw884LhfcnKyWrRooQEDBtTYcwNwcz4+PpKk4uJix7ojR444lu+//355e3vrxIkTTldz165dq4MHD2rWrFk1NitqHt/thVrr3nvvlbe3t/7whz8oNzdX33zzjcaPH6/Tp0+rvLz8uv3r1q2rTz/9VMnJycrJyVFubq42bNggHx8fPfTQQ+rcubMefPBBJSUlKTMzU0ePHtWrr76qzZs3KyYmxgXPEMBPadasmQIDA7Vy5UodO3ZMu3bt0urVqx3b69Spo//6r//SkiVLtHXrVuXm5ur3v/+9FixYoPDwcBdOjprAlR/UWhEREZo3b56WLl2qdevWqX79+uratasGDx6snTt3Xre/t7e33nrrLc2fP1+DBw9WSUmJHnzwQa1cuVLR0dGSpLffflsLFizQ+PHjVVJSopiYGC1btkydOnWq6acH4CaCg4O1YMECpaSkqFevXmrRooUmT56sMWPGOPZ56aWXFBoaqiVLlqigoEANGjTQuHHjNHz4cBdOjppgsV994RMAAMAAvOwFAACMQvwAAACjED8AAMAoxA8AADAK8QMAAIxC/AAAAKMQPwAAwCjEDwAAMArxA6DaNW/eXEuXLnX1GLdt4MCBGjhwoKvHAHCXET8AAMAoxA8AADAK8QOgxp0/f17Tpk3TI488otatW+uZZ57R7t27nfYpLi7WtGnT1KlTJ7Vv315JSUlKS0tT8+bNnfbbsWOH+vbtq9atW+vRRx/Vr3/9a12+fNmxfenSperRo4c+/fRT9enTRw899JAef/xxZWRkOD3OiRMnNHbsWHXs2FGPPvqo028Av6q0tFQLFy5Uz5499dBDD6lDhw4aMmSIcnJyHPtMmTJFgwYN0vTp09WhQwf16tVL48aNU5cuXWSz2Zweb+rUqXr88cer+mEEUEX8VncANaqsrEyDBg3SmTNnlJSUpPDwcKWnp2v48OFKTU1Vp06dJEmjR49WTk6OkpKS1LBhQ61fv14LFy50eqz3339fEydOVJ8+fTR+/Hjl5eVp0aJFOnjwoFavXi2LxSJJOn36tGbNmqUXXnhBjRo10qpVqzR58mS1bt1aMTExunz5sgYMGCBvb2/Nnj1bVqtVr7/+uo4dO6b27ds7jjdp0iRlZ2frxRdfVHR0tI4ePaolS5ZowoQJ+vDDDx3Hy87Olp+fn5YvX67Lly/Lx8dH27ZtU1ZWluP5lZaW6o9//KNGjBhREx92ANcgfgDUqK1bt+q7777Tpk2b1LZtW0lSly5dNHDgQKWkpCg9PV27d+9WVlaWli5dqp49ezr26d27t/7+979Lkux2u1JSUtS5c2elpKQ4Hr9JkyYaPHiwPvvsM3Xt2lWSVFJSojlz5jjCo0mTJurWrZs+++wzxcTEaMuWLTpx4oQ++OADPfDAA5Kktm3bqkePHo7HLS8v16VLl5ScnKxevXpJkuLi4lRcXKx58+bpzJkzql+/viSpoqJCs2bNUmRkpCTJZrMpMjJSGRkZjhk+/vhjXb58WU899VR1fJgB3AQvewGoUbt371b9+vXVqlUrVVRUqKKiQpWVlerWrZv++te/6sKFC8rMzJSPj49+/vOfO+5ntVod0SFJhw4d0qlTp5SQkOB4nIqKCsXGxio4OFiff/6503HbtWvnWL4aJVdfHsvOzlZ0dLQjfCSpQYMGTvfx9fXVqlWr1KtXL+Xn5yszM1MbNmzQn/70J0k/xtFV99xzj+MYV2dPTEzU9u3bVVJSIknasmWLHnnkEaf9ANQMrvwAqFHnz5/X6dOn1apVqxtuP336tAoLC3XPPffIanX+91lYWJjT40jSzJkzNXPmzOsep6CgwOl2QECAY/nq49rtdknShQsXFBoaet1j1K9fX2fOnHHc3rVrl+bOnatDhw4pKChILVq0UGBgoNNjSVJQUNB1j9WvXz/95je/0fbt2xUfH6/du3c7XbECUHOIHwA1qk6dOmrSpMlP/sUfFRWliIgIFRYWymazOQXQ2bNnHcshISGSfnwfTlxc3HWPU7du3VueKTQ0VEePHr1u/dXAkqRjx45pzJgx+vnPf64VK1aocePGslgsWrdunXbt2vUvj9G4cWPFxcXpD3/4g86fP6/g4GCnK1sAag4vewGoUXFxcTp58qTCwsLUunVrx3+ff/65UlNT5eXlpbi4OFVUVGjnzp2O+9ntdu3YscNx+/7771dYWJiOHz/u9DgRERFauHChDhw4cMszxcfH6/jx4/rmm28c686dO6f9+/c7bv/1r39VWVmZnn/+eUVHRzve3Hw1fK698vNTnn76aX3xxRf64IMP1KtXL/n5+d3yjADuHq78AKhRffv21TvvvKMhQ4Zo1KhRatCggb744gu99dZbGjBggHx8fBQbG6tHH31UU6dO1ZkzZ9SwYUP9/ve/1/fff++IDi8vLyUlJWnatGny8vJSt27dVFRUpDfeeEP5+fk/+bLajTz55JNau3atxo4dq6SkJAUHB+vNN990+tb0Vq1aydvbWwsWLNDQoUNVXl6uzZs369NPP5Ukp2+v/ymPP/64Zs+era+//lqvvPLK7X3gANw1xA+AGhUYGKh169Zp4cKFWrBggS5evKhGjRppwoQJGjp0qGO/RYsWad68eVq4cKEqKirUvXt3Pfvss04/n+eXv/ylgoKClJqaqo0bNyowMFAdOnRQSkqKGjdufMsz+fr6as2aNZo7d67mzJkji8WiZ555Ro0bN3a81Hbfffdp4cKFWrZsmV544QXVrVtX7dq1029/+1sNHDhQ2dnZ1/0Mon/m5+en+Ph4HTp0SG3atLm9DxyAu8Ziv5VrtQBQg/Ly8rR//351795d/v7+jvXjxo1Tbm6utmzZ4sLpqq60tFSPPfaYRo8erUGDBrl6HMBYXPkB4HasVqumTJmi7t276+mnn5aXl5d27dql7du369VXX3X1eLctLy9PW7Zs0RdffCGLxaJ+/fq5eiTAaFz5AeCWMjMztXz5cuXk5KiiokIxMTEaMmSIevfu7erRbtvJkyf11FNPKSgoyOmHLQJwDeIHAAAYhW91BwAARiF+AACAUYgfAABgFOIHAAAYhfgBAABGIX4AAIBRiB8AAGAU4gcAABjl/wGQ7jW/cfi6ywAAAABJRU5ErkJggg==",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=pokemon, x=\"legendary\", y=\"hp\", ci=\"sd\")"
]
},
{
"cell_type": "markdown",
"id": "4f75e1fa-a5d7-4d2c-a458-8190a7cd700e",
"metadata": {},
"source": [
"Here, we use a barplot to show average hit points by type. `ci=None` removes the standard deviation bars, because they clutter up the plot with too much detail. "
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "17f1c289-5990-4420-bfcb-e50eee0b8af6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='type'>"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=pokemon, x=\"hp\", y=\"type\", ci=None, palette=\"muted\")"
]
},
{
"cell_type": "markdown",
"id": "213d6139-203f-4d81-a4b1-6f98cb184662",
"metadata": {},
"source": [
"**When you want to show how many observations are the intersection of multiple categories,** a [countplot](https://seaborn.pydata.org/generated/seaborn.countplot.html) is a good choice. \n",
"\n",
"To demonstrate this, let's convert the numeric variable `speed` into a categorical variable, `speed_category`, using the built-in function [cut](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.cut.html). "
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "3c8e9f47-9aea-4bf0-a628-7aa1a66a8eee",
"metadata": {},
"outputs": [],
"source": [
"bins = [0, 50, 100, 200]\n",
"labels = [\"slow\", \"medium\", \"fast\"]\n",
"pokemon[\"speed_category\"] = pd.cut(pokemon.speed, bins=bins, labels=labels)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "22f78bec-3d18-4133-ba9f-6595d7181ded",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='speed_category', ylabel='count'>"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.countplot(data=pokemon, x=\"speed_category\", hue=\"legendary\")"
]
},
{
"cell_type": "markdown",
"id": "fd508c13-9900-4be1-958f-4f9e9e9b633a",
"metadata": {},
"source": [
"**When you want to show the relationship between two numeric variables**, a [scatterplot](https://seaborn.pydata.org/generated/seaborn.scatterplot.html) is a good choice. \n",
"\n",
"Here, we plot pokémon hit points against their speed. "
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "444d9832-bd57-4238-9ea4-5ee898847170",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='speed'>"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.scatterplot(data=pokemon, x=\"hp\", y=\"speed\")"
]
},
{
"cell_type": "markdown",
"id": "03e81709-393d-4c41-bce5-2dffc9cf5553",
"metadata": {},
"source": [
"You can distinguish between categories within a scatter plot by assigning a categorical variable to `hue`. We set the marker size with `s` and their opacity with `alpha`. "
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "86f9747b-00a3-407f-9b73-0bce40bac50d",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='speed'>"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.scatterplot(data=pokemon, x=\"hp\", y=\"speed\", hue=\"legendary\", alpha=0.5, s=60)"
]
},
{
"cell_type": "markdown",
"id": "f3741251-2a2b-437e-b68f-084fb4399e9f",
"metadata": {},
"source": [
"Finally, if you want scatter plots across multiple categories, a [relplot](https://seaborn.pydata.org/generated/seaborn.relplot.html) lets you distribute categories across rows and colums in a grid. "
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "7385237c-6a5c-4041-af46-559d6d84d1fa",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x11dc3b0b0>"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1592.5x500 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"favorite_types = pokemon[pokemon.type.isin([\"Fire\", \"Water\", \"Grass\"])]\n",
"sns.relplot(data=favorite_types, x=\"hp\", y=\"speed\", hue=\"legendary\", col=\"type\", s=100)"
]
},
{
"cell_type": "markdown",
"id": "c6a20904-416d-44be-a4f3-2107200fb3c2",
"metadata": {},
"source": [
"#### Your turn\n",
"\n",
"**1.5.0.** Plot a histogram of peoples' heights."
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "3b268a30-42ff-4ab8-b2cd-c58a76121f9c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='height', ylabel='Count'>"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.histplot(data= people, x=\"height\", bins=20)"
]
},
{
"cell_type": "markdown",
"id": "9b0c9120-fff4-42b2-8ab6-3aa2eba47806",
"metadata": {},
"source": [
"**1.5.1.** Plot a bar chart showing peoples' average hours of sleep by age. "
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "ee30c851-14b1-4901-9182-4304d54d53a6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='age', ylabel='sleep'>"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=people, x=\"age\", y=\"sleep\", ci= None)"
]
},
{
"cell_type": "markdown",
"id": "15d94323-2d65-4100-9916-101516f6ccf1",
"metadata": {},
"source": [
"**1.5.2.** Plot a bar chart showing peoples' likelihood of getting exercise by income. "
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "13eeecd8-2518-4ed9-aac5-727a96b5bf80",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='income', ylabel='exercise'>"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=people, x=\"income\", y=\"exercise\", ci=None)"
]
},
{
"cell_type": "markdown",
"id": "b2705fef-470d-494c-86c1-8b3bd34b3660",
"metadata": {},
"source": [
"**1.5.3.** Plot a bar chart showing average reported health by age. For each age, show average health for those who get exercise and those who don't."
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "4ee2eb69-2f9a-42e7-b5d3-9499631bfd06",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='age', ylabel='health'>"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=people, x=\"age\",y=\"health\", hue = \"exercise\", ci=None)"
]
},
{
"cell_type": "markdown",
"id": "84b1e240-4f75-4c86-8c1f-1026aa223717",
"metadata": {},
"source": [
"**1.5.4.** Create a plot showing the number of people at each income level, for each education level. "
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "d7e02da8-beab-40e7-95d0-74a5c2bc838e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='income', ylabel='count'>"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.countplot(data=people, x=\"income\", hue=\"education\")"
]
},
{
"cell_type": "markdown",
"id": "ac717580-4157-402c-9262-b2b50dfe606f",
"metadata": {},
"source": [
"**1.5.5.** Plot side-by-side scatter plots showing the relationship between height and weight for males and females. (There are so many overlapping dots that the plot will be more informative if you lower the opacity of each dot. Try using `alpha=0.1` and `edgecolor=None`.)"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "b00dd7d6-226b-469c-86d8-b71b328aa576",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x11e1405c0>"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x500 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.relplot(data=people, x=\"height\",y=\"weight\", col=\"sex\", s=100, alpha=0.1, edgecolor=None)"
]
},
{
"cell_type": "markdown",
"id": "e9ff7225-5d08-428b-90e8-ee60f4a4049a",
"metadata": {},
"source": [
"## 2. Crafting a data argument\n",
"\n",
"Everything up to here are just tools, worthless without a clear research question and a convincing argument. Choose a research question that interests you which might be answerable using the `people` dataset. Then do your best to find the answer in the space below. This answer should include data analysis (code cells) as well as written argument (text cells) explaining what the data means and why you believe it answers your question. \n",
"\n",
"Examples of research questions might include:\n",
"\n",
"- Do older people tend to have higher incomes?\n",
"- Do people who sleep at least 6 hours a night tend to report better health? \n",
"- Is it more common for males to be bisexual than females?\n",
"\n",
"**A note of caution:** this lab has given you tools for exploring associations--patterns that tend to co-occur. These tools *do not* equip you to argue that one variable causes another to change. For example: Plot 1.5.4 showed that people who are taller also tend to be heaver, with a lot of individual variation. But are people heavier *because* they are taller? Are they taller because they are heavier? Or maybe neither variable causes the other--perhaps they're both caused by something else. If you want to be able to answer questions like these, take a course on statistics."
]
},
{
"cell_type": "markdown",
"id": "4a274316-a134-4bd8-88fd-e0cd455c09d5",
"metadata": {},
"source": [
"Research question: At what point (if any) does reduced sleep outweigh the health benefit of exercise?\n",
"\n",
"Have you ever wondered if you should really do that morning or evening workout at the expense of sleep? Is it healthier to skip that 5 AM gym session for some extra zzz's?\n",
"\n",
"This question can best be analyzed using a barplot that shows sleep and exercise on the x axis and health on the y-axis.\n",
"\n",
"First sleep is going to be categorized into 6 categories: Less than 5 hours, 5 hours, 6 hours, 7 hours, 8 hours, or 9 or more hours\""
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "83155603-33ac-4d80-b74e-b4cdb6ced5a1",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"bins = [0,5,6,7,8,9,10]\n",
"labels = [\"less than 5\", \"5 hours\", \"6 hours\", \"7 hours\", \"8 hours\", \"9 or more hours\"]\n",
"people[\"sleep\"] = pd.cut(people.sleep, bins=bins, labels=labels)"
]
},
{
"cell_type": "raw",
"id": "ac4ddb7d-4aac-4ac1-8866-9d06098d7676",
"metadata": {},
"source": [
"Then a barplot can be constructed using sleep categories on the x-axis and mean health on the y-axis. This is further classified by bars for exercise (true) and non-exercise (false)."
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "0668eb7c-8cca-421e-b51f-ac942a0063b9",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='sleep', ylabel='health'>"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=people, x=\"sleep\", y=\"health\", hue=\"exercise\")"
]
},
{
"cell_type": "raw",
"id": "24dd8d12-439b-4e75-9a5f-331d8565a45a",
"metadata": {},
"source": [
"Within each sleep category, the exercise group always has a higher health score than the non-exercise group. \n",
"\n",
"The health scores of the exercise groups are also always higher than the non-exercise groups, even when you look across sleep categories. Even among the lowest health score group that exercises (sleeps less than 5 hours and exercises), they still have a higher health score than the highest health score group that doesn't exercise (sleeps 6 hours and does not exercise)\n",
"\n",
"So skip those zzz's and get out for that run or to the gym! (Caution: Correalation does not prove causation; use this advice at your own risk.)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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