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lab_pokemon/lab_pokemon.ipynb
jwberent db4bda5c14 I completed the pokemon lab. 
I was thinking about using some kind of sports data.  I could use a NBA data set that discusses players stats.  I could look at players heights and see if that means they get more rebounds.
2025-10-17 13:05:56 -04:00

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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": {},
"outputs": [
{
"data": {
"text/plain": [
"6"
]
},
"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. I changed the Python code.\n",
"\n",
"1+1*5"
]
},
{
"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?\n",
"\n",
"### The value of x changes depending on if Cell A or B is run first."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "0e2a2927-f6d1-4b13-97ae-ff97416723e9",
"metadata": {},
"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": {},
"outputs": [
{
"data": {
"text/plain": [
"20"
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},
"execution_count": 3,
"metadata": {},
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],
"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_pokemon.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": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "a29d508a-2d9a-4d62-9ff6-7a0ecfd5eba4",
"metadata": {},
"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",
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" <td>DiancieMega Diancie</td>\n",
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" <td>Fire</td>\n",
" <td>Water</td>\n",
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" <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>"
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"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": [
{
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" <th>age</th>\n",
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"</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",
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"3 5 False True 8 \n",
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"166421 4 False True 6 \n",
"166422 1 False False 8 \n",
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"166424 3 False False 8 \n",
"\n",
"[166425 rows x 11 columns]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Your code here\n",
"people"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "dcc04e5b-2670-4ea4-b95e-b2061d99e15c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['age', 'sex', 'income', 'education', 'sexual_orientation', 'height',\n",
" 'weight', 'health', 'no_doctor', 'exercise', 'sleep'],\n",
" dtype='object')"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people.columns"
]
},
{
"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": 9,
"id": "9afca362-9edc-423c-981b-dc42107d5de0",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"generation\n",
"1 166\n",
"5 165\n",
"3 160\n",
"4 121\n",
"2 106\n",
"6 82\n",
"Name: count, dtype: int64"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon.generation.value_counts()"
]
},
{
"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": 10,
"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": 10,
"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": 11,
"id": "dc69ef53-70cd-4ae0-80e7-c9c8e28de76f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"np.float64(0.08125)"
]
},
"execution_count": 11,
"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": 12,
"id": "8fbcc766-8399-4f93-a6c8-e0607250a72a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"age\n",
"65 55973\n",
"55 34345\n",
"45 26240\n",
"35 22555\n",
"25 18118\n",
"18 9194\n",
"Name: count, dtype: int64"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Your code here\n",
"people.age.value_counts()"
]
},
{
"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": 13,
"id": "b7f910c8-3d40-49ae-b270-678734c04100",
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"(np.float64(1.7050816283611236),\n",
" 'meaning the mean height of people in this survey is 1.7')"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Your code here\n",
"people.height.mean(), \"meaning the mean height of people in this survey is 1.7\""
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "4d6ddae2-5792-4534-be05-f849dfe3cb48",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(np.float64(83.05358750187773),\n",
" 'meaning the mean weight of people in this survey is 83')"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people.weight.mean(), \"meaning the mean weight of people in this survey is 83\""
]
},
{
"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": 15,
"id": "f3891188-a85f-4089-8388-d4d81c7438ad",
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"(np.float64(0.7858014120474688),\n",
" 'meaning 79% of people have done exercise in the last 30 days')"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Your code here\n",
"people.exercise.mean(), \"meaning 79% of people have done exercise in the last 30 days\""
]
},
{
"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": 16,
"id": "12c0c6c9-c07b-4183-82f6-5e346c74aac9",
"metadata": {},
"outputs": [
{
"data": {
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"</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",
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" <td>Moltres</td>\n",
" <td>Fire</td>\n",
" <td>Flying</td>\n",
" <td>580</td>\n",
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" <td>100</td>\n",
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" <td>680</td>\n",
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" <td>MewtwoMega Mewtwo X</td>\n",
" <td>Psychic</td>\n",
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" <td>780</td>\n",
" <td>106</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",
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" <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",
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" <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",
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" </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": 16,
"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": 17,
"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": 17,
"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": 18,
"id": "510fa0fc-2b38-4725-9bbf-ec57d62792be",
"metadata": {},
"outputs": [
{
"data": {
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" <tr>\n",
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" <td>Piloswine</td>\n",
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" <td>100</td>\n",
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" <tr>\n",
" <th>243</th>\n",
" <td>Delibird</td>\n",
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" <td>330</td>\n",
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" <td>55</td>\n",
" <td>45</td>\n",
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" <td>45</td>\n",
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" <tr>\n",
" <th>257</th>\n",
" <td>Smoochum</td>\n",
" <td>Ice</td>\n",
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" <td>30</td>\n",
" <td>15</td>\n",
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" <td>False</td>\n",
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" <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",
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" <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",
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" <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": 18,
"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": 19,
"id": "05d4c5c2-c6b4-4795-9799-c884b15445a1",
"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>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",
" <th>special_defense</th>\n",
" <th>speed</th>\n",
" <th>generation</th>\n",
" <th>legendary</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>133</th>\n",
" <td>Jynx</td>\n",
" <td>Ice</td>\n",
" <td>Psychic</td>\n",
" <td>455</td>\n",
" <td>65</td>\n",
" <td>50</td>\n",
" <td>35</td>\n",
" <td>115</td>\n",
" <td>95</td>\n",
" <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",
" <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>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",
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" <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>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": 19,
"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": 20,
"id": "198cb0c6-3f43-43c2-9eee-3939c12ea537",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
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" 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>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",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>other</td>\n",
" <td>1.55</td>\n",
" <td>83.01</td>\n",
" <td>2</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</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>24</th>\n",
" <td>35</td>\n",
" <td>male</td>\n",
" <td>8</td>\n",
" <td>3</td>\n",
" <td>heterosexual</td>\n",
" <td>1.73</td>\n",
" <td>94.35</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
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" <tr>\n",
" <th>50</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.78</td>\n",
" <td>81.65</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <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",
" <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",
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" </tr>\n",
" <tr>\n",
" <th>166407</th>\n",
" <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": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# YOUR CODE HERE\n",
"no_doc = people[people.no_doctor]\n",
"no_doc"
]
},
{
"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": 21,
"id": "8a8c1ad6-4c1e-4996-ab5e-5212dadb1851",
"metadata": {},
"outputs": [
{
"data": {
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"\n",
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"<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",
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" <th>education</th>\n",
" <th>sexual_orientation</th>\n",
" <th>height</th>\n",
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" <th>exercise</th>\n",
" <th>sleep</th>\n",
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" <th>1</th>\n",
" <td>65</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>1</td>\n",
" <td>heterosexual</td>\n",
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" <td>False</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
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" <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",
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" <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": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# YOUR CODE HERE\n",
"healthy = people[people.health>=3]\n",
"healthy"
]
},
{
"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": 22,
"id": "315682ae-7d54-4d78-9a63-d23c83ba1576",
"metadata": {},
"outputs": [
{
"data": {
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" <td>True</td>\n",
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" <th>66</th>\n",
" <td>45</td>\n",
" <td>female</td>\n",
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" <tr>\n",
" <th>146</th>\n",
" <td>65</td>\n",
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" <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",
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" <tr>\n",
" <th>...</th>\n",
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" <td>1.65</td>\n",
" <td>136.08</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <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",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
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" <td>1.52</td>\n",
" <td>98.88</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166381</th>\n",
" <td>45</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.52</td>\n",
" <td>49.90</td>\n",
" <td>5</td>\n",
" <td>True</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",
" </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": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# YOUR CODE HERE\n",
"no_doc_female_grad = people[(people.sex=='female') & (people.education==4) & (people.no_doctor==True)]\n",
"no_doc_female_grad"
]
},
{
"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": 23,
"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": 23,
"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": 24,
"id": "5c420c0e-b5d2-49ae-ab98-3305ee076169",
"metadata": {},
"outputs": [
{
"data": {
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"</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": 24,
"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": 25,
"id": "444a580d-e70c-48a1-bf87-77f98b8c9f85",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"type subtype \n",
"Electric Flying 0.600000\n",
"Rock Fairy 0.666667\n",
"Ghost Dragon 1.000000\n",
"Fire Water 1.000000\n",
"Dragon Fire 1.000000\n",
" Electric 1.000000\n",
" Ice 1.000000\n",
" Psychic 1.000000\n",
"Steel Dragon 1.000000\n",
" Fighting 1.000000\n",
"Psychic Ghost 1.000000\n",
"Rock Fighting 1.000000\n",
"Psychic Fire 1.000000\n",
" Dark 1.000000\n",
"Ground Fire 1.000000\n",
"Fire Steel 1.000000\n",
"Name: legendary, dtype: float64"
]
},
"execution_count": 25,
"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": 26,
"id": "75c1ac4f-3914-4c0a-a156-2e084002df66",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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" }\n",
"\n",
" .dataframe thead th {\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>sleep</th>\n",
" </tr>\n",
" <tr>\n",
" <th>income</th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>6.952208</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>6.985627</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>7.083274</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>7.079627</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>7.100286</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>7.055784</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>7.078495</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>7.074626</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" sleep\n",
"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"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# YOUR CODE HERE\n",
"sleep_income = people.groupby(\"income\")\n",
"sleep_income[[\"sleep\"]].mean()"
]
},
{
"cell_type": "markdown",
"id": "3b3de936-bc73-4061-be81-e816cbf656c0",
"metadata": {},
"source": [
"There is not a huge difference in average hours of sleep by income level since they are all around 7 hours."
]
},
{
"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": 27,
"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>sex</th>\n",
" <th>education</th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"4\" valign=\"top\">female</th>\n",
" <th>1</th>\n",
" <td>3.554701</td>\n",
" <td>2.848040</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>5.049022</td>\n",
" <td>3.315797</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>5.779390</td>\n",
" <td>3.483379</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>6.960652</td>\n",
" <td>3.844340</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"4\" valign=\"top\">male</th>\n",
" <th>1</th>\n",
" <td>4.433009</td>\n",
" <td>3.031525</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>5.742876</td>\n",
" <td>3.440818</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>6.270230</td>\n",
" <td>3.549105</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>7.190582</td>\n",
" <td>3.826512</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" income health\n",
"sex education \n",
"female 1 3.554701 2.848040\n",
" 2 5.049022 3.315797\n",
" 3 5.779390 3.483379\n",
" 4 6.960652 3.844340\n",
"male 1 4.433009 3.031525\n",
" 2 5.742876 3.440818\n",
" 3 6.270230 3.549105\n",
" 4 7.190582 3.826512"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# YOUR CODE HERE\n",
"grou = people.groupby([\"sex\",\"education\"])\n",
"grou[[\"income\",\"health\"]].mean()"
]
},
{
"cell_type": "markdown",
"id": "5eb06cdc-acd0-4dd7-8bf9-a0dadd6a3d57",
"metadata": {},
"source": [
"Accross all education levels men have a higher income than women.\n",
"For education levels 1,2, and 3 men have a higher general health.\n",
"For education level 4 women have a higher general health."
]
},
{
"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": 28,
"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": 29,
"id": "5ce066fe-f81d-4b78-a394-c5c2f4dc9f46",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='attack', ylabel='Count'>"
]
},
"execution_count": 29,
"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": 30,
"id": "bceb253b-ef4f-4aa2-aef4-cab2b3ca6d59",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='Count', ylabel='attack'>"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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KAADAAsoUAACABZQpAAAACyhTAAAAFlCmAAAALKBMAQAAWNCkbtoZLNq3jQ70CE2LIdltNrncbim83ufYeyzY7f7/XlK13Gx9OCMb/8jFXGNk43Z75HaH2Q8yWGZ4qt72HrXi8XhkGEagx0AT4nZ7ZLNxTAChwOV26+yZ0qArVBERNrVp00JnzpxTZaU70OM0KVXZNOhzNOjeQ5BhGMp957BOF5UFepQmwzAM7ytT4djNz39TqeLSCr/rDMOQ3W6TyxWe2VwO2fhHLuYaOpv2baN1102JstmMoCtTCCzKVB0cOHJGxwuLAz1Gk2EYhiIi7KqsdPHD/xJkY45s/CMXc2SDpoqT8gAAABZQpgAAACygTAEAAFhAmQIAALCAMgUAAGABZQoAAMACyhQAAIAFdS5Tb7zxRo3b/PGPf6zr7gEAAIJCncvUzJkztWPHDtP1c+fO1cqVK+u6ewAAgKBQ5zL1s5/9TFOnTtWuXbt8lrvdbv3617/WunXrNHfuXMsDAgAANGV1LlOPPPKIbrrpJj3wwAP64IMPJEnl5eWaPHmyNm3apMcff1yjR4+ut0EBAACaIkvvzbdgwQKVl5fr/vvv11NPPaUVK1boww8/1JIlSzRs2LD6mhEAAKDJsvSv+Ww2m5544gmlpqZqwoQJ2rdvn5YtW0aRAgAAYaPWr0ytWrXKdF3v3r21a9cuDRo0SJ999pk+++wzSRfe4fuee+6xPCQAAEBTVesy9fjjj9e4zaZNm7Rp0ybvY8oUAAAIdbUuU1u3bm3IOQAAAIJSrctUp06dGnIOAACAoFTnC9CPHTumbdu2ma7ftm2bjh8/XtfdAwAABIU63xph0aJFKikpUXp6ut/1L774ohwOhxYvXlzn4QAAAJq6Or8ytXfvXv3oRz8yXZ+amuq9mScAAECoqnOZcjqdatGihen66OhonT179or2eeTIEc2dO1cjR47Uddddp4yMDL/brVu3TjfeeKOSkpJ0yy23aPv27dW2KS4u1uzZs9WvXz+lpKRo2rRpKiwsvKJ5AAAAalLnMvXd735XH374oen6PXv26Oqrr76ifR48eFB5eXnq2rWr4uPj/W7z2muv6eGHH9bw4cO1fPlyJScna8qUKfroo498tpsxY4Z27typefPm6YknntDhw4c1YcIEVVZWXtFMAAAAl1PnMpWRkaHXXntNL7zwgtxut3e5y+XS6tWrlZOTY/rKkpn09HTl5eXpqaee0ve//32/2zz11FO6+eabNWPGDA0YMEC///3vlZSUpGeffda7zd69e/X222/r0Ucf1YgRIzR06FA9+eSTOnDggDZv3ly3LxgAAMCPOl+APnHiRO3Zs0ePPfaYli5dqu7du0uSDh8+rK+//lr9+vXTr371qyvap812+W537NgxffHFF/p//+//+SwfMWKEFi1apPLyckVGRmrHjh1yOBwaOHCgd5u4uDglJiZqx44dGjFixBXNBQAAYKbOZSoyMlIrV67Uhg0btGXLFh09elSS1KtXL91www362c9+VmM5ulL5+fmS5C1uVeLj41VRUaFjx44pPj5e+fn56t69uwzD8NkuLi7Ouw8AAID6UOcyJV14Jem2227TbbfdVl/zXFZRUZEkyeFw+Cyvely13ul0qlWrVtU+PyYmRvv377c+iKFqRS2sGd/+aYhcfJCNObLxj1zMNXA2VT/X7fb6fSGgMVTNHIyzN7TGyMRSmQpXdptNERH2QI/R5ETYycQM2ZgjG//IxVxDZVP1S9fhiGqQ/TeGYJ49mFkqU6dOndLf//53ffrppyouLva5EF260PJXr15tacCLxcTESLpw24N27dp5lzudTp/1DodDJ06cqPb5RUVF3m2scLndqqx0Wd5PyDAu/HCrdLkkT6CHaWLIxhzZ+Ecu5ho4G5frwu8wp7PM+3GwsNttcjiignL2hlaVTUOqc5n67LPPNHbsWJ0/f17du3fXf/7zH11zzTVyOp06efKkunTpcsW3RqhJXFycpAvXTlV9XPW4WbNm6ty5s3e7Xbt2yePx+JyOO3z4sHr06GF9EI/k8fBTror35XZyqYZszJGNf+RirqGzqdqny+VWZWVwFpJgnj2Y1flE4p/+9CdFR0crNzdXq1atksfj0ezZs5WXl6fFixerqKhIDz30UH3Oqs6dO6tbt27Kzc31WZ6Tk6PU1FRFRkZKkgYPHqyioiLt2rXLu83hw4f16aefavDgwfU6EwAACG91fmXqww8/1H333aeOHTt673Re1eqHDx+uPXv2aNGiRfrb3/5W632WlZUpLy9PklRQUKCSkhJvcerXr5/atm2rqVOn6qGHHlKXLl3Uv39/5eTkaN++fT7Pk5KSorS0NM2ePVuzZs1S8+bNtXjxYiUkJOiGG26o65cMAABQTZ3LlNvt1lVXXSXpwjVKdrvd5+1jEhIStH79+iva5+nTpzV9+nSfZVWPX3jhBfXv318ZGRkqKyvT8uXL9fzzz6t79+565plnlJKS4vN5S5Ys0YIFCzR37lxVVlYqLS1Nc+bMUUQE19wDAID6U+dmERsbq+PHj0u6cIuE2NhY7dq1y3tDzA8//NDv7Qlq2ueBAwdq3C4zM1OZmZmX3aZVq1Z67LHH9Nhjj13RDAAAAFeizmUqLS1Nubm5mjlzpiRp9OjRWrhwoY4dOyaPx6Pdu3dr/Pjx9TYoAABAU1TnMjVp0iTdfPPNqqioULNmzTRu3DiVlpZq8+bNstlseuCBBzRx4sT6nBUAAKDJqXOZiomJ8blnk2EYeuCBB/TAAw/Uy2AAAADBoM63Rhg7dqzPrQcu9e6772rs2LF13T0AAEBQqHOZ2r17t7766ivT9V9//bXef//9uu4eAAAgKFh697/LvdnvkSNH1KJFCyu7BwAAaPKu6JqpDRs2aMOGDd7Hf/nLX7R27dpq2xUXF+vAgQPcbRwAAIS8KypTZWVlOnPmjPfxuXPnZLNVf3ErOjpao0aN0uTJk61PCAAA0IRdUZm66667dNddd0mS0tPT9dvf/lZDhw5tkMEAAACCQZ2vmXr88cervYXLxbgAHQAAhANLt0bYuXOn6XpujQAAAMJBncuUx+O57Pry8nLZ7fa67h4AACAoXNE1U19++aUKCgq8j/Pz8/2eynM6nXr55ZfVsWNH6xMCAAA0YVdUpl599VU988wzMgxDhmFo6dKlWrp0abXtPB6P7Ha75s+fX2+DAgAANEVXVKaGDx+ua6+9Vh6PRzNmzNCYMWP0wx/+0GcbwzAUFRWlxMREXXXVVfU6LAAAQFNzRWUqPj5e8fHxkqQFCxaob9++io2NbZDBAAAAgsEVlamL3XrrrfU5BwAAQFCqc5mSpG+++UabNm3Sp59+quLiYrndbp/1hmHoscceszQgAABAU1bnMlVQUKCxY8eqoKBADodDxcXFiomJUXFxsVwul9q0aaPo6Oj6nBUAAKDJqfN9phYtWqSSkhKtXbtWubm58ng8Wrx4sfbu3auHHnpI3/nOd5SdnV2fswIAADQ5dS5T7777rkaPHq1evXr5vNlxZGSk7rvvPg0YMIBTfAAAIOTVuUydP39enTp1kiS1bNlShmGouLjYuz4lJUV79uyxPiEAAEATVucy9d3vflcnT56UJEVERKhDhw766KOPvOs///xzNW/e3PKAAAAATVmdL0AfMGCAtm7dqilTpki6cKuE559/Xk6nU263W//4xz80cuTIehsUAACgKapzmbr//vv1r3/9S+Xl5YqMjNSkSZNUWFioTZs2yWazKSMjQ7/5zW/qc1YAAIAmp85lqmPHjj5vZNy8eXM9+uijevTRR+tlMAAAgGBQ52umAAAAQJkCAACwhDIFAABgAWUKAADAAktvdByu2rflPQd9GJLdZpPL7ZY8gR6miSEbc2TjH7mYa+Bsqn622+3B9zpD1czBOHsVt9sjtzs4D3rD4/EE5+QB4vF4ZBhGoMcAADQAt9sjm42f8YHgcrt19kxpvReqiAib2rRpUa/7rPYcDbr3EGQYhnLfOazTRWWBHqXJMAzD+7dFurkvsjFHNv6Ri7nGyOb8N5UqLq1okH03JMMwZLfb5HIF53HTvm207ropUTabEZSvTgVdmRozZox2797td92f//xn3Xzzzabb5OTkKD4+3vIMB46c0fHC4po3DBOGYSgiwq7KSldQfhM3JLIxRzb+kYs5sjFHNoEVdGXqd7/7nUpKSnyWrV69Wps3b1Zqaqp3WZ8+fTRr1iyf7WJjYxtlRgAAED6Crkxdc8011Zb9+te/1sCBA9W2bVvvMofDoeTk5EacDAAAhKPgvez//3z44Yc6fvy4fvrTnwZ6FAAAEIaC7pWpS23cuFHR0dEaOnSoz/Ldu3crOTlZLpdLvXv31vTp09W3b9/6eVJD/Iu+ixnf/mmIXHyQjTmy8Y9czJGNuSDPpup3akPc2qExbhcR1GWqsrJSr7/+utLT0xUd/e29n/r27auRI0eqW7duKiwsVHZ2tsaPH681a9YoJSXF8vPabTZFRNgt7yfURNjJxAzZmCMb/8jFHNmYC9ZsqgqPwxEV4EnqJqjL1M6dO/X1118rIyPDZ/m0adN8Hv/4xz9WRkaGnnvuOS1fvtzy87rcblVWuizvJ2QYF76BK10ubjJ4KbIxRzb+kYs5sjEX5Nm4XG5JktNZ5v24vtjttgYvaUFdpjZu3KjWrVsrLS3tsttFR0dryJAh2rRpU/08sUf809OLeF9SJpdqyMYc2fhHLubIxlywZ1M1s8vlVmVl/ZapxhC0F6CfP39eb7zxhm666SY1a9Ys0OMAAIAwFbRlatu2bSotLa3Vv+IrLS3Vm2++qaSkpEaYDAAAhJOgPc33z3/+Ux07dtQPfvADn+UffPCBVqxYoeuvv16dOnVSYWGhVq1apVOnTunJJ58M0LQAACBUBWWZKioq0ltvvaVx48ZVu0VBu3btVFFRocWLF+vs2bOKiopSSkqK5s+fr169egVoYgAAEKqCskzFxMRo//79ftd17dpV2dnZjTwRAAAIV0F7zRQAAEBTQJkCAACwgDIFAABgAWUKAADAAsoUAACABZQpAAAACyhTAAAAFlCmAAAALKBMAQAAWECZAgAAsIAyBQAAYAFlCgAAwALKFAAAgAWUKQAAAAsoUwAAABZQpgAAACygTAEAAFhAmQIAALCAMgUAAGABZQoAAMACyhQAAIAFlCkAAAALKFMAAAAWUKYAAAAsoEwBAABYQJkCAACwgDIFAABgAWUKAADAAsoUAACABZQpAAAACyhTAAAAFlCmAAAALAi6MvXqq68qISGh2n9PPPGEz3br1q3TjTfeqKSkJN1yyy3avn17gCYGAAChLCLQA9TVihUr1KpVK+/jDh06eD9+7bXX9PDDD2vSpEkaMGCAcnJyNGXKFL344otKTk4OwLQAACBUBW2Z+v73v6+2bdv6XffUU0/p5ptv1owZMyRJAwYM0H/+8x89++yzWr58eSNOCQAAQl3QnearybFjx/TFF19o+PDhPstHjBihXbt2qby8PECTAQCAUBS0ZSojI0OJiYkaOnSoli1bJpfLJUnKz8+XJHXv3t1n+/j4eFVUVOjYsWONPisAAAhdQXear127dpo6dap69+4twzC0bds2LVmyRCdPntTcuXNVVFQkSXI4HD6fV/W4ar0lhmQYhvX9hArj2z8NkYsPsjFHNv6RizmyMRfk2VT9TrXb6/81nobY56WCrkwNGjRIgwYN8j5OS0tT8+bNtXr1ak2aNKlRZrDbbIqIsDfKcwWTCDuZmCEbc2TjH7mYIxtzwZpNVeFxOKICPEndBF2Z8mf48OFauXKl/v3vfysmJkaSVFxcrHbt2nm3cTqdkuRdb4XL7VZlpcvyfkKGceEbuNLlkjyBHqaJIRtzZOMfuZgjG3NBno3L5ZYkOZ1l3o/ri91ua/CSFhJl6mJxcXGSLlw7VfVx1eNmzZqpc+fO1p/EI3k8QXi0NhDvS8rkUg3ZmCMb/8jFHNmYC/ZsqmZ2udyqrKzfMtUYgvYC9Ivl5OTIbrfruuuuU+fOndWtWzfl5uZW2yY1NVWRkZEBmhIAAISioHtl6t5771X//v2VkJAgSdq6davWrl2rsWPHek/rTZ06VQ899JC6dOmi/v37KycnR/v27dPf/va3QI4OAABCUNCVqe7du2v9+vU6ceKE3G63unXrptmzZ2vMmDHebTIyMlRWVqbly5fr+eefV/fu3fXMM88oJSUlgJMDAIBQFHRlas6cObXaLjMzU5mZmQ08DQAACHchcc0UAABAoFCmAAAALKBMAQAAWECZAgAAsIAyBQAAYAFlCgAAwIKguzVCU9C+bXSgR2hajAtv/uxyu4PyPaHM1MdbMhiGIbvdJpfLHZRv8dCQyMY/cjFHNuaCPZtg/71qeIIx9QDyeDwyDCPQYwAAEFJcbrfOnimV212/tSQiwqY2bVrU6z6rPUeD7j0EGYah3HcO63RRWaBHaTIMw/C+MhUq3bxtTJSG/6i75Xcwr3q38oZ4J/RgRzb+kYs5sjEXCtm43Z56L1KNhTJVBweOnNHxwuJAj9FkGIahiAi7KitdIVOmOrVrqeE/6l5v72AerO+E3hjIxj9yMUc25sgmMLgAHQAAwALKFAAAgAWUKQAAAAsoUwAAABZQpgAAACygTAEAAFhAmQIAALCAMgUAAGABZQoAAMACyhQAAIAFlCkAAAALKFMAAAAWUKYAAAAsoEwBAABYQJkCAACwgDIFAABgAWUKAADAAsoUAACABZQpAAAACyhTAAAAFlCmAAAALKBMAQAAWBAR6AGu1Ouvv65//OMf+uSTT+R0OtW1a1eNGTNGt912mwzDkCSNGTNGu3fvrva5OTk5io+Pb+yRAQBACAu6MvXXv/5VnTp1UlZWltq0aaN33nlHDz/8sE6cOKEpU6Z4t+vTp49mzZrl87mxsbGNPS4AAAhxQVem/vKXv6ht27bex6mpqTp79qxWrVqlBx54QDbbhTOXDodDycnJAZoSAACEi6C7ZuriIlUlMTFRJSUlKi0tDcBEAAAgnAVdmfJnz5496tChg1q2bOldtnv3biUnJyspKUl333233n///QBOCAAAQlXQnea71AcffKCcnByf66P69u2rkSNHqlu3biosLFR2drbGjx+vNWvWKCUlxfqTGvJe7A5Jxrd/GgqNXKr+/9rt1v6+UfX5VvcTisjGP3IxRzbmyMZcY2RieDweT4M/SwM5ceKEMjMzFR8fr5UrV3qvl7pUaWmpMjIyFB8fr+XLl1t+3mfWfqQvvzpneT9oujpe1UJT7kgO9BgAgCAQtK9MOZ1OTZgwQa1bt9bTTz9tWqQkKTo6WkOGDNGmTZvq5bldbrcqK131sq+QYEgRdrsqXS4paKu5L5fLLUlyOsu8H9eF3W6TwxFleT+hiGz8IxdzZGOObMxVZdOQgrJMnT9/XhMnTlRxcbFeeeUVtWrVqnEH8EhB/IJevfOe2guhXKq+DpfLrcpK6z+Y6ms/oYhs/CMXc2RjjmwCI+jKVGVlpWbMmKH8/Hy9+OKL6tChQ42fU1paqjfffFNJSUmNMCEAAAgnQVem5s+fr+3btysrK0slJSX66KOPvOuuu+467du3TytWrND111+vTp06qbCwUKtWrdKpU6f05JNPBm5wAAAQkoKuTO3cuVOStHDhwmrrtm7dqnbt2qmiokKLFy/W2bNnFRUVpZSUFM2fP1+9evVq7HEBAECIC7oytW3bthq3yc7OboRJAAAAQuSmnQAAAIFCmQIAALCAMgUAAGABZQoAAMACyhQAAIAFlCkAAAALKFMAAAAWUKYAAAAsoEwBAABYQJkCAACwgDIFAABgAWUKAADAAsoUAACABZQpAAAACyhTAAAAFlCmAAAALKBMAQAAWECZAgAAsIAyBQAAYAFlCgAAwALKFAAAgAWUKQAAAAsoUwAAABZQpgAAACygTAEAAFhAmQIAALCAMgUAAGABZQoAAMCCiEAPEIzat42Wx+MJ9BhNhmEYstttcrncIZNL+7bRgR4BABAkKFNXyOPxaPSN3wv0GGgELrdbbndolEMAQMOhTF0hwzDkdJbJ5XIHepQmw263yeGICrlc3G4PZQoAUCPKVB24XG5VVoZOaagv5AIACEdcgA4AAGBBSJepQ4cOafz48UpOTtbAgQO1aNEilZeXB3osAAAQQkL2NF9RUZHGjRunbt266emnn9bJkye1cOFCnT9/XnPnzg30eAAAIESEbJl6+eWXde7cOT3zzDNq3bq1JMnlcmn+/PmaOHGiOnToENgBAQBASAjZ03w7duxQamqqt0hJ0vDhw+V2u7Vz587ADQYAAEJKyJap/Px8xcXF+SxzOBxq166d8vPzAzQVAAAINSF7ms/pdMrhcFRbHhMTo6KiIkv7tttDtoPWSVUe5FId2ZgjG//IxRzZmCMbc42RSciWqYbkcEQFeoQmiVzMkY05svGPXMyRjTmyCYyQLVMOh0PFxcXVlhcVFSkmJsbSvkPtTt9Wheod0OsD2ZgjG//IxRzZmCMbc1XZNKSQLVNxcXHVro0qLi7WqVOnql1LdaW407d/5GKObMyRjX/kYo5szJFNYITsydXBgwfrnXfekdPp9C7Lzc2VzWbTwIEDAzgZAAAIJSFbpkaNGqUWLVpo8uTJevvtt7V+/XotWrRIo0aN4h5TAACg3oRsmYqJidHq1atlt9s1efJk/elPf9Ltt9+urKysQI8GAABCiOHxeDyBHiLYcHFfdXa7jVxMkI05svGPXMyRjTmyMdfQt0egTAEAAFgQsqf5AAAAGgNlCgAAwALKFAAAgAWUKQAAAAsoUwAAABZQpgAAACygTAEAAFhAmQIAALCAMgUAAGABZQoAAMACyhQAAIAFlCkAAAALKFMAAAAWUKZq4dChQxo/frySk5M1cOBALVq0SOXl5YEeq1G9+uqrSkhIqPbfE0884bPdunXrdOONNyopKUm33HKLtm/fHqCJG8aRI0c0d+5cjRw5Utddd50yMjL8blebHIqLizV79mz169dPKSkpmjZtmgoLCxv6S2gwtclmzJgxfo+jQ4cO+WwXStm8/vrr+tWvfqXBgwcrOTlZI0eO1N///nd5PB6f7cLxmKlNNuF4zEhSXl6e7r77bg0YMEA9e/bU0KFDtWDBAhUXF/tst23bNt1yyy1KSkrSjTfeqPXr11fbV3l5uR5//HENHDhQycnJGj9+vPLz8xvrS6lXtcklKyvL7zGzY8cOn33VZy4Rlr6qMFBUVKRx48apW7duevrpp3Xy5EktXLhQ58+f19y5cwM9XqNbsWKFWrVq5X3coUMH78evvfaaHn74YU2aNEkDBgxQTk6OpkyZohdffFHJyckBmLb+HTx4UHl5eerdu7fcbne1X4hS7XOYMWOGPv/8c82bN0/NmzfXkiVLNGHCBK1fv14REcH3rVmbbCSpT58+mjVrls+y2NhYn8ehlM1f//pXderUSVlZWWrTpo3eeecdPfzwwzpx4oSmTJkiKXyPmdpkI4XfMSNJZ8+eVa9evTRmzBi1bt1aBw8e1NNPP62DBw9q5cqVkqQPPvhAU6ZM0e23367Zs2fr3Xff1W9/+1u1aNFCN910k3dff/jDH5STk6OsrCx16NBBS5cu1T333KPXXnvN5+d5MKhNLpLUuXPnan/Zj4+P93lcr7l4cFlLly71JCcne86cOeNd9vLLL3sSExM9J06cCNxgjWz9+vWeHj16eE6fPm26zQ033OB58MEHfZbdeeednvvuu6+hx2s0LpfL+/GsWbM8N998c7VtapPDhx9+6OnRo4fnrbfe8i47dOiQJyEhwfPaa681wOQNrzbZ3H333Z7777//svsJtWz8fc/MmTPH06dPH29m4XrM1CabcDxmzLzyyiueHj16eH/3/PKXv/TceeedPts8+OCDnuHDh3sf/+///q8nMTHR8/LLL3uXnTlzxpOcnOx5/vnnG2fwBnZpLmY/fy5W37lwmq8GO3bsUGpqqlq3bu1dNnz4cLndbu3cuTNwgzUxx44d0xdffKHhw4f7LB8xYoR27doVMqdFbbbLf8vUNocdO3bI4XBo4MCB3m3i4uKUmJhY7aXoYFFTNrUVatm0bdu22rLExESVlJSotLQ0rI+ZmrKprVDMxp+q30MVFRUqLy/Xe++95/MKlHThuDl06JCOHz8uSXr77bfldrt9tmvdurUGDhwYMtlcnEtt1XculKka5OfnKy4uzmeZw+FQu3btgvacsxUZGRlKTEzU0KFDtWzZMrlcLknyZtG9e3ef7ePj41VRUaFjx441+qyBUNsc8vPz1b17dxmG4bNdXFxcyB9Xu3fvVnJyspKSknT33Xfr/fff91kfDtns2bNHHTp0UMuWLTlmLnFxNlXC+ZhxuVz65ptv9Mknn+jZZ59Venq6YmNjdfToUVVUVFT7/VR1Kqvq687Pz9d//dd/KSYmptp2wZyNWS5Vjhw5oh/84Afq2bOnfv7zn+uNN97w+fz6ziX4TiQ3MqfTKYfDUW15TEyMioqKAjBRYLRr105Tp05V7969ZRiGtm3bpiVLlujkyZOaO3euN4tLs6p6HC5Z1TYHp9Pp95x8TEyM9u/f38BTBk7fvn01cuRIdevWTYWFhcrOztb48eO1Zs0apaSkSAr9bD744APl5OR4rwHimPnWpdlIHDM/+clPdPLkSUnSoEGD9Kc//UmS9ePG4XAE9c9ls1ykC69uJiUl6ZprrlFxcbFeeuklTZ48WU8++aT3laj6zoUyhVoZNGiQBg0a5H2clpam5s2ba/Xq1Zo0aVIAJ0MwmTZtms/jH//4x8rIyNBzzz2n5cuXB2iqxnPixAnNnDlT/fv319ixYwM9TpNilk24HzPPP/+8ysrK9Pnnn+svf/mLJk2apFWrVgV6rIAzy8Vut2vcuHE+26anp2vUqFF66qmnqp0WrS+c5quBw+Go9k9RpQut/9KXB8PN8OHD5XK59O9//9ubxaVZOZ1OSQqbrGqbg8PhUElJSbXPD7fjKjo6WkOGDNEnn3ziXRaq2TidTk2YMEGtW7fW008/7b3GjGPGPBt/wumYkaTvfe97SklJUWZmpp577jm999572rJli+Xjxul0BnU2Zrn4Y7PZdMMNN+jQoUM6f/68pPrPhTJVA3/n3IuLi3Xq1Klq56rDWVUWl2aVn5+vZs2aqXPnzoEYq9HVNoe4uDgdPny42u0DDh8+HPbHVShmc/78eU2cOFHFxcXVbi8S7sfM5bKprVDN5lIJCQlq1qyZjh49qi5duqhZs2Z+jxvp2+MqLi5OX331VbVTV/6uBw5WF+dSW/WdC2WqBoMHD9Y777zjbfuSlJubK5vN5vMvR8JRTk6O7Ha7rrvuOnXu3FndunVTbm5utW1SU1MVGRkZoCkbV21zGDx4sIqKirRr1y7vNocPH9ann36qwYMHN+rMgVRaWqo333xTSUlJ3mWhlk1lZaVmzJih/Px8rVixwufebFJ4HzM1ZeNPOBwzZj7++GNVVFQoNjZWkZGR6t+/vzZt2uSzTU5OjuLj470XY6elpclms2nz5s3ebYqKivT222+HTDYX5+KP2+1Wbm6urr32Wn3nO9+RVP+5cM1UDUaNGqU1a9Zo8uTJmjhxok6ePKlFixZp1KhRtfrGDxX33nuv+vfvr4SEBEnS1q1btXbtWo0dO1bt2rWTJE2dOlUPPfSQunTpov79+ysnJ0f79u3T3/72t0COXq/KysqUl5cnSSooKFBJSYn3l2C/fv3Utm3bWuWQkpKitLQ0zZ49W7NmzVLz5s21ePFiJSQk6IYbbgjI12ZVTdlU/cK8/vrr1alTJxUWFmrVqlU6deqUnnzySe9+Qi2b+fPna/v27crKylJJSYk++ugj77rrrrtOkZGRYXvM1JTNvn37wvKYkaQpU6aoZ8+eSkhI0He+8x199tlnys7OVkJCgoYNGyZJ+tWvfqWxY8dq3rx5Gj58uN577z1t3LhRixcv9u7n6quv1u23365FixbJZrOpQ4cOWrZsmVq1aqVRo0YF6surs5pyKSgoUFZWlm6++WZ17dpVRUVFeumll7R//349/fTT3v3Udy6G59LXRVHNoUOH9Mgjj2jv3r1q0aKFRo4cqZkzZ4bNqy3ShTvFvvXWWzpx4oTcbre6deumzMxMjRkzxuefI69bt07Lly/Xl19+qe7du+vBBx/UT37ykwBOXr+OHz+uoUOH+l33wgsvqH///pJql0NxcbEWLFigLVu2qLKyUmlpaZozZ07QlvSasrn66qv1+9//XgcOHNDZs2cVFRWllJQUTZkyRb169fLZPpSySU9PV0FBgd91W7du9f5tOhyPmZqycblcYXnMSBcusM7JydHRo0fl8XjUqVMnXX/99br33nt9bhuxdetWLVmyRIcPH1bHjh11//336/bbb/fZV3l5uRYvXqz/+Z//0blz59SnTx/NmTOn2h3Bg0FNuZw9e1a/+c1v9Omnn+r06dNq1qyZevbsqfvvv9/nH1FJ9ZsLZQoAAMACrpkCAACwgDIFAABgAWUKAADAAsoUAACABZQpAAAACyhTAAAAFlCmAAAALKBMAQAAWMDbyQAISkePHtWKFSu0c+dOFRYWqlmzZurRo4eGDx+uO++80/seXIHy4osvKioqSj//+c8DOgeAhscd0AEEnTfffFPTp09XZGSkRo4cqR49eqiiokJ79uzR5s2bdeutt+qRRx4J6IwZGRlq06aN1qxZE9A5ADQ8XpkCEFSOHTummTNnqmPHjlq9erXat2/vXfeLX/xCR44c0Ztvvhm4AQGEHa6ZAhBUVqxYodLSUj366KM+RapK165dNW7cOElSZWWlnn32WQ0bNkw9e/ZUenq6/vznP6u8vNzncxISEnzeUb5Kenq6srKyvI9fffVVJSQkaM+ePVqwYIEGDBig5ORkTZ48WV9//bXP5x08eFC7d+9WQkKCEhISNGbMmPqKAEATwytTAILK9u3b1blzZ/Xp06fGbefMmaMNGzboxhtv1Pjx47Vv3z4tW7ZMhw4d0rPPPlvnGf7whz/I4XBoypQpKigo0OrVq/X73/9eS5YskSTNnj1bjzzyiKKjozVp0iRJ0lVXXVXn5wPQtFGmAASNkpISnTx5UkOHDq1x288++0wbNmxQZmam/vCHP0i6cBqwbdu2Wrlypd59910NGDCgTnO0bt1aK1eulGEYkiS32601a9aouLhYrVq10rBhw7RkyRK1adNGI0eOrNNzAAgenOYDEDRKSkokSS1atKhx27y8PEnS+PHjfZb/8pe/9FlfF3fccYe3SEnSD3/4Q7lcLhUUFNR5nwCCF2UKQNBo2bKlJOncuXM1bltQUCCbzaYuXbr4LG/Xrp0cDoel4tOxY0efxw6HQ5LkdDrrvE8AwYsyBSBotGzZUu3bt9fBgwdr/TkXv4J0pVwul9/lNpv/H53caQYIT5QpAEHlJz/5iY4ePaq9e/dedrtOnTrJ7XbryJEjPsu/+uorOZ1OderUybssJiam2qtK5eXlOnXqVJ3ntFLiAAQXyhSAoHLfffcpOjpac+bM0VdffVVt/dGjR7V69WoNGTJEkrR69Wqf9atWrZIk73pJ6ty5sz744AOf7dauXWv6ylRtREVFcdoPCBP8az4AQaVLly564oknNHPmTI0YMcJ7B/Ty8nLt3btXubm5+vnPf65x48bp1ltv1SuvvCKn06m+ffvqX//6lzZs2KBhw4b5/Eu+zMxM/e53v9PUqVP1ox/9SJ999pnefvtttWnTps5zfv/739dLL72k5557Tl27dlXbtm2VmppaHxEAaGIoUwCCztChQ/WPf/xD2dnZ2rp1q1566SVFRkYqISFBWVlZuuOOOyRduB9UbGysNmzYoDfeeENXXXWVJk6cqClTpvjs74477tDx48f197//XW+99ZZ+8IMfaNWqVbrnnnvqPOPkyZP15ZdfasWKFTp37pz69etHmQJCFO/NBwAAYAHXTAEAAFhAmQIAALCAMgUAAGABZQoAAMACyhQAAIAFlCkAAAALKFMAAAAWUKYAAAAsoEwBAABYQJkCAACwgDIFAABgAWUKAADAAsoUAACABf8ftkwtA2DlyW8AAAAASUVORK5CYII=",
"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. `errorbar=\"sd\"` shows the standard deviation for each category. "
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "92be1ad0-12bb-49f0-a3f6-85fcfd98e943",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='legendary', ylabel='hp'>"
]
},
"execution_count": 31,
"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=\"legendary\", y=\"hp\", errorbar=\"sd\")"
]
},
{
"cell_type": "markdown",
"id": "4f75e1fa-a5d7-4d2c-a458-8190a7cd700e",
"metadata": {},
"source": [
"Here, we use a barplot to show average hit points by type. `errorbar=None` removes the standard deviation bars, because they clutter up the plot with too much detail. "
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "17f1c289-5990-4420-bfcb-e50eee0b8af6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='type'>"
]
},
"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.barplot(data=pokemon, x=\"hp\", y=\"type\", hue=\"type\", errorbar=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": 33,
"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": 34,
"id": "22f78bec-3d18-4133-ba9f-6595d7181ded",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='speed_category', ylabel='count'>"
]
},
"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.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": 35,
"id": "444d9832-bd57-4238-9ea4-5ee898847170",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='speed'>"
]
},
"execution_count": 35,
"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": 36,
"id": "86f9747b-00a3-407f-9b73-0bce40bac50d",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='speed'>"
]
},
"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.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": 37,
"id": "7385237c-6a5c-4041-af46-559d6d84d1fa",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x7f284573e8a0>"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1595.72x500 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": 38,
"id": "3b268a30-42ff-4ab8-b2cd-c58a76121f9c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='height', ylabel='Count'>"
]
},
"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": [
"# Your code here\n",
"sns.histplot(data=people, x=\"height\")"
]
},
{
"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": 39,
"id": "ee30c851-14b1-4901-9182-4304d54d53a6",
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='age', ylabel='sleep'>"
]
},
"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": [
"# Your code here\n",
"sns.barplot(data=people, x=\"age\", y=\"sleep\",errorbar=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": 40,
"id": "13eeecd8-2518-4ed9-aac5-727a96b5bf80",
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='income', ylabel='exercise'>"
]
},
"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": [
"# Your code here\n",
"sns.barplot(data=people, x=\"income\", y=\"exercise\",errorbar=None)"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "96d72f7a-94b7-4961-a32e-89a782d8d582",
"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>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",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>other</td>\n",
" <td>1.55</td>\n",
" <td>83.01</td>\n",
" <td>2</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\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>...</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>166420</th>\n",
" <td>45</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>3</td>\n",
" <td>heterosexual</td>\n",
" <td>1.63</td>\n",
" <td>86.18</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>6</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>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": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people"
]
},
{
"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": 51,
"id": "4ee2eb69-2f9a-42e7-b5d3-9499631bfd06",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='age', ylabel='health'>"
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Your code here\n",
"age_exercise = people.groupby([\"age\",\"exercise\"])\n",
"age_exercise[\"health\"].mean()\n",
"age_ex = people[(people.age) & (people.exercise)]\n",
"sns.barplot(data=age_ex, x=\"age\",y=\"health\",errorbar=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": 55,
"id": "d7e02da8-beab-40e7-95d0-74a5c2bc838e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='education', ylabel='Count'>"
]
},
"execution_count": 55,
"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": [
"# Your code here\n",
"ed_1=people[(people.education==1) & (people.income==1)]\n",
"ed_1\n",
"sns.histplot(data=ed_1, x=\"education\")\n",
"ed_2=people[(people.education==1) & (people.income==2)]\n",
"ed_2\n",
"sns.histplot(data=ed_2, x=\"education\")\n",
"ed_3=people[(people.education==1) & (people.income==3)]\n",
"ed_3\n",
"sns.histplot(data=ed_3, x=\"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": 44,
"id": "b00dd7d6-226b-469c-86d8-b71b328aa576",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x7f283f1cbcb0>"
]
},
"execution_count": 44,
"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": [
"# Your code here\n",
"male_female = people[people.sex.isin([\"male\", \"female\"])]\n",
"sns.relplot(data=male_female, x=\"weight\", y=\"height\", col=\"sex\", s=5)"
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "e0c6c8e1-d0d1-41d4-a255-febd1b097193",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='weight', ylabel='height'>"
]
},
"execution_count": 45,
"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": [
"male = people[people.sex==\"male\"]\n",
"sns.scatterplot(data=male, x=\"weight\", y=\"height\", alpha=0.1, s=60,edgecolor=None)\n",
"female = people[people.sex==\"female\"]\n",
"sns.scatterplot(data=female, x=\"weight\", y=\"height\", alpha=0.1, s=60,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": "code",
"execution_count": 46,
"id": "6f934273-b829-4bc2-a7f4-a27a3fc44a99",
"metadata": {},
"outputs": [],
"source": [
"# Your code here. Feel free to add new text cells and code cells as necessary."
]
},
{
"cell_type": "markdown",
"id": "01781aaa-2fd4-41af-a807-35534a74163d",
"metadata": {},
"source": [
"# Do people who exercise more, sleep more"
]
},
{
"cell_type": "code",
"execution_count": 47,
"id": "e9e796a9-5283-4eca-be46-6c7ea3265a22",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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" <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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" <tr>\n",
" <th>0</th>\n",
" <td>55</td>\n",
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" <td>2</td>\n",
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" <td>65</td>\n",
" <td>female</td>\n",
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" <td>1.65</td>\n",
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" <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",
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" </tr>\n",
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" <td>male</td>\n",
" <td>8</td>\n",
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" <td>1.83</td>\n",
" <td>81.65</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
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" <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",
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" <td>...</td>\n",
" <td>...</td>\n",
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" <td>45</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
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" <td>heterosexual</td>\n",
" <td>1.63</td>\n",
" <td>86.18</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>6</td>\n",
" </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",
" </tr>\n",
" <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",
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" <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",
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" <td>True</td>\n",
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" <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",
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" <td>False</td>\n",
" <td>8</td>\n",
" </tr>\n",
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"<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": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people"
]
},
{
"cell_type": "code",
"execution_count": 48,
"id": "bd5917b9-b3e5-401e-8cd3-1bc880b6cea8",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='exercise', ylabel='sleep'>"
]
},
"execution_count": 48,
"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.barplot(data=people, x=\"exercise\",y=\"sleep\",errorbar=None)"
]
},
{
"cell_type": "code",
"execution_count": 49,
"id": "ff607845-d85b-4b08-b942-ebbe0ba93675",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"np.float64(7.045416292639138)"
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ex_false = people[people.exercise==False]\n",
"ex_false.sleep.mean()"
]
},
{
"cell_type": "code",
"execution_count": 50,
"id": "db637b88-3507-47e4-ad7b-ef41abaa9d87",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"np.float64(7.074860258302301)"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ex_true = people[people.exercise==True]\n",
"ex_true.sleep.mean()"
]
},
{
"cell_type": "markdown",
"id": "bbf0edda-39b0-47fe-92cc-53dca66c85e3",
"metadata": {},
"source": [
"Just barely people who exercise more, sleep more. This is true since the barplot shows the True rectangle a little higher than the False rectangle. Also, the mean number of hours slept of people who answered False to the exercise question is 7.045416292639138 and the mean number of hours slept of people who answered True to the exercise question is 7.074860258302301."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "57b51f0f-f7a9-474b-8fce-963eda4d4836",
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.12.3"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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