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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": 2,
"id": "5923b0d7-c0e0-48fa-b765-4aa6002c2d4f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"6"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Other cells are code cells, containing Python code. (This is a comment, of course!)\n",
"# Try running this cell (again, shift+Enter). You'll see the result of the final statement \n",
"# printed below the cell. \n",
"# Then try changing the Python code and re-run it.\n",
"\n",
"1+5"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "1474543b-a208-4aeb-ad99-411461c31b92",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"12"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#testing\n",
"x=10\n",
"y=2\n",
"x+y\n"
]
},
{
"cell_type": "markdown",
"id": "257ef44f-8f53-4136-9d0d-23a811ec53e9",
"metadata": {},
"source": [
"### 0.1 Cells share state\n",
"\n",
"Even though code cells run one at a time, anything that happens in a cell (like declaring a variable or running a function) affects the whole notebook. Try running these two cells a few times, in different orders. What happens when you run *Cell B* over and over?"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "0e2a2927-f6d1-4b13-97ae-ff97416723e9",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"10"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Cell A\n",
"x = 10\n",
"x"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "69dd7908-b213-4d0f-8016-e46a4a491961",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"20"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Cell B\n",
"x = x * 2\n",
"x"
]
},
{
"cell_type": "markdown",
"id": "adc581ac-db13-40a8-bcfc-bf5d6e5472c5",
"metadata": {},
"source": [
"### 0.2 Saving your work\n",
"\n",
"When you finish working on a notebook, save your work using the icon in the menu bar above. Your notebook is stored in the file `lab_04.ipynb` in the lab directory. You can commit your changes to `ipynb` files just like any other file. Once you finish with Jupyter, you can stop the server by pressing **Control + C** in the Terminal. \n",
"\n",
"*If you're doing this lab on a cloud-based platform like Binder, then you can't save your work. So don't close the tab!*"
]
},
{
"cell_type": "markdown",
"id": "c9c4aec2-949d-4a2e-b736-f5182b1f9ff7",
"metadata": {},
"source": [
"---\n",
"\n",
"## 1. Pandas\n",
"\n",
"Pandas is probably the most important Python library for data science. Pandas provides an object called a **DataFrame**, which is basically a table with rows and columns. Most of the time, you will load data into Pandas using a `.csv` file. CSV files can be exported from Excel or Google Sheets, and are a common format for public data sets. \n",
"\n",
"In this lab, we'll be working with two data sets: The first contains Pokémon characteristics and the second comes from a wide-scale survey conducted by the US Centers for Disease Control ([details](https://www.cdc.gov/brfss/annual_data/annual_2020.html)). We will demonstrate techniques with Pokémon; your job is to replicate these tasks with the CDC dataset. \n",
"\n",
"**Note:** Pandas has *extensive* capabilities, and there's no way we could possibly present them all here. If you have a clearly-formed idea of what you want to do with tabular data, there's a way to do it. This lab introduces *some* of what Pandas can do, but expect to spend time reading the documentation and Stack Overflow when you start working on new tasks. \n",
"\n",
"### 1.0 Getting started\n",
"\n",
"First, we'll import pandas (using the conventional variable name `pd`) and load the two datasets. *Run these cells and every code cell you encounter in this notebook.*"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "ba09a0f8-27d9-456f-aeff-3980e3362d5b",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "a29d508a-2d9a-4d62-9ff6-7a0ecfd5eba4",
"metadata": {},
"outputs": [],
"source": [
"#reads data from the pokemon csv file for use within our code.\n",
"pokemon = pd.read_csv(\"pokemon.csv\")\n",
"#people data from the CDC\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": 16,
"id": "579d8dda-ca39-48b1-8819-b17651029729",
"metadata": {},
"outputs": [
{
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" <th></th>\n",
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" <td>Venusaur</td>\n",
" <td>Grass</td>\n",
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" <td>525</td>\n",
" <td>80</td>\n",
" <td>82</td>\n",
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" <tr>\n",
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" <td>VenusaurMega Venusaur</td>\n",
" <td>Grass</td>\n",
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" <td>625</td>\n",
" <td>80</td>\n",
" <td>100</td>\n",
" <td>123</td>\n",
" <td>122</td>\n",
" <td>120</td>\n",
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" <td>False</td>\n",
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" <th>4</th>\n",
" <td>Charmander</td>\n",
" <td>Fire</td>\n",
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" <td>309</td>\n",
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" <tr>\n",
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" <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",
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" <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",
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" <td>70</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>798</th>\n",
" <td>HoopaHoopa Unbound</td>\n",
" <td>Psychic</td>\n",
" <td>Dark</td>\n",
" <td>680</td>\n",
" <td>80</td>\n",
" <td>160</td>\n",
" <td>60</td>\n",
" <td>170</td>\n",
" <td>130</td>\n",
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" <th>799</th>\n",
" <td>Volcanion</td>\n",
" <td>Fire</td>\n",
" <td>Water</td>\n",
" <td>600</td>\n",
" <td>80</td>\n",
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" <td>90</td>\n",
" <td>70</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
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"<p>800 rows × 12 columns</p>\n",
"</div>"
],
"text/plain": [
" name type subtype total hp attack defense \\\n",
"0 Bulbasaur Grass Poison 318 45 49 49 \n",
"1 Ivysaur Grass Poison 405 60 62 63 \n",
"2 Venusaur Grass Poison 525 80 82 83 \n",
"3 VenusaurMega Venusaur Grass Poison 625 80 100 123 \n",
"4 Charmander Fire NaN 309 39 52 43 \n",
".. ... ... ... ... .. ... ... \n",
"795 Diancie Rock Fairy 600 50 100 150 \n",
"796 DiancieMega Diancie Rock Fairy 700 50 160 110 \n",
"797 HoopaHoopa Confined Psychic Ghost 600 80 110 60 \n",
"798 HoopaHoopa Unbound Psychic Dark 680 80 160 60 \n",
"799 Volcanion Fire Water 600 80 110 120 \n",
"\n",
" special_attack special_defense speed generation legendary \n",
"0 65 65 45 1 False \n",
"1 80 80 60 1 False \n",
"2 100 100 80 1 False \n",
"3 122 120 80 1 False \n",
"4 60 50 65 1 False \n",
".. ... ... ... ... ... \n",
"795 100 150 50 6 True \n",
"796 160 110 110 6 True \n",
"797 150 130 70 6 True \n",
"798 170 130 80 6 True \n",
"799 130 90 70 6 True \n",
"\n",
"[800 rows x 12 columns]"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon\n",
"#pokemon.columns"
]
},
{
"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": 17,
"id": "c9e5e4ec-b197-450c-ae2d-318006fa0a2f",
"metadata": {},
"outputs": [
{
"data": {
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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",
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" <td>55</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
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" <tr>\n",
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" <td>False</td>\n",
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" <tr>\n",
" <th>2</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
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" <tr>\n",
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" <td>55</td>\n",
" <td>male</td>\n",
" <td>8</td>\n",
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" <td>heterosexual</td>\n",
" <td>1.83</td>\n",
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" <td>True</td>\n",
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" <td>55</td>\n",
" <td>female</td>\n",
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" <td>heterosexual</td>\n",
" <td>1.80</td>\n",
" <td>76.66</td>\n",
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" <td>True</td>\n",
" <td>8</td>\n",
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" <td>1.63</td>\n",
" <td>86.18</td>\n",
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" <td>False</td>\n",
" <td>False</td>\n",
" <td>6</td>\n",
" </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": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# call the people variable defined above to show the contents of the CDC information in the brfss csv\n",
"people"
]
},
{
"cell_type": "markdown",
"id": "7fab76ef-d453-4568-a916-4d4c29535a42",
"metadata": {},
"source": [
"### 1.2 Descriptive Statistics\n",
"\n",
"#### Demo\n",
"\n",
"Let's get a sense of the data contained in some of the columns. For categorical data like `generation`, it makes sense to look at value counts--showing us how many of each category there are. You can use the optional keyword `normalize=True` to see percentage of total instead of frequencies. "
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "9afca362-9edc-423c-981b-dc42107d5de0",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"generation\n",
"1 0.20750\n",
"5 0.20625\n",
"3 0.20000\n",
"4 0.15125\n",
"2 0.13250\n",
"6 0.10250\n",
"Name: proportion, dtype: float64"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon.generation.value_counts(normalize = True)"
]
},
{
"cell_type": "markdown",
"id": "a9b98eee-bdc2-4c63-bab2-ee82e2466d0f",
"metadata": {},
"source": [
"For numeric data, we could start by looking at the mean value. We can select multiple columns and get all the column means at once."
]
},
{
"cell_type": "code",
"execution_count": 20,
"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": 20,
"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": 21,
"id": "dc69ef53-70cd-4ae0-80e7-c9c8e28de76f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"np.float64(0.08125)"
]
},
"execution_count": 21,
"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": 24,
"id": "8fbcc766-8399-4f93-a6c8-e0607250a72a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"age\n",
"65 0.336326\n",
"55 0.206369\n",
"45 0.157669\n",
"35 0.135527\n",
"25 0.108866\n",
"18 0.055244\n",
"Name: proportion, dtype: float64"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# percentage of people in each age group of the people surveyed.\n",
"people.age.value_counts(normalize=True)"
]
},
{
"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": 46,
"id": "b7f910c8-3d40-49ae-b270-678734c04100",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Average height of surveyed adults: 1.7 meters tall.\n",
"Average height of surveyed adults: 66.5 inches tall.\n",
"Or 5.54 feet.\n",
"Average weight of surveyed adults: 83.1 kilograms.\n",
"Average weight of surveyed adults: 183.1 pounds.\n"
]
}
],
"source": [
"# average height and weight of people in the survey\n",
"print (f\"Average height of surveyed adults: { people.height.mean():.1f} meters tall.\")\n",
"inches = people.height.mean()*39\n",
"print (f\"Average height of surveyed adults: { inches:.1f} inches tall.\")\n",
"feet = inches/12\n",
"print (f\"Or { feet:.2f} feet.\")\n",
"print(f\"Average weight of surveyed adults: {people.weight.mean():.1f} kilograms.\")\n",
"pounds = people.weight.mean()*2.205\n",
"print(f\"Average weight of surveyed adults: {pounds:.1f} pounds.\")"
]
},
{
"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": 37,
"id": "f3891188-a85f-4089-8388-d4d81c7438ad",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Percentage of people who report having exercised :78.6%\n"
]
}
],
"source": [
"# percentage of people who exercise in this group\n",
"percentage = (people.exercise.mean())*100\n",
"print(f\"Percentage of people who report having exercised :{percentage:.1f}%\")\n"
]
},
{
"cell_type": "markdown",
"id": "f6082e65-321c-4ee0-9457-74f9bb1b0363",
"metadata": {},
"source": [
"### 1.3 Filtering\n",
"\n",
"Sometimes we're just interested in a selection of the data set. The way to do this is to create a boolean series, and then use this to select which rows you want to include. Vocabulary note: A dataframe is two-dimensional, with rows and columns. A series (a single row or a single column) is one-dimensional. \n",
"\n",
"#### Demo\n",
"`pokemon.legendary` is already boolean, so we can use this to select just the legendary pokémon. "
]
},
{
"cell_type": "code",
"execution_count": 47,
"id": "12c0c6c9-c07b-4183-82f6-5e346c74aac9",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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"\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",
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" <tr>\n",
" <th>156</th>\n",
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" </tr>\n",
" <tr>\n",
" <th>158</th>\n",
" <td>Moltres</td>\n",
" <td>Fire</td>\n",
" <td>Flying</td>\n",
" <td>580</td>\n",
" <td>90</td>\n",
" <td>100</td>\n",
" <td>90</td>\n",
" <td>125</td>\n",
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" <tr>\n",
" <th>162</th>\n",
" <td>Mewtwo</td>\n",
" <td>Psychic</td>\n",
" <td>NaN</td>\n",
" <td>680</td>\n",
" <td>106</td>\n",
" <td>110</td>\n",
" <td>90</td>\n",
" <td>154</td>\n",
" <td>90</td>\n",
" <td>130</td>\n",
" <td>1</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>163</th>\n",
" <td>MewtwoMega Mewtwo X</td>\n",
" <td>Psychic</td>\n",
" <td>Fighting</td>\n",
" <td>780</td>\n",
" <td>106</td>\n",
" <td>190</td>\n",
" <td>100</td>\n",
" <td>154</td>\n",
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" <tr>\n",
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" </tr>\n",
" <tr>\n",
" <th>795</th>\n",
" <td>Diancie</td>\n",
" <td>Rock</td>\n",
" <td>Fairy</td>\n",
" <td>600</td>\n",
" <td>50</td>\n",
" <td>100</td>\n",
" <td>150</td>\n",
" <td>100</td>\n",
" <td>150</td>\n",
" <td>50</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>796</th>\n",
" <td>DiancieMega Diancie</td>\n",
" <td>Rock</td>\n",
" <td>Fairy</td>\n",
" <td>700</td>\n",
" <td>50</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>110</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>797</th>\n",
" <td>HoopaHoopa Confined</td>\n",
" <td>Psychic</td>\n",
" <td>Ghost</td>\n",
" <td>600</td>\n",
" <td>80</td>\n",
" <td>110</td>\n",
" <td>60</td>\n",
" <td>150</td>\n",
" <td>130</td>\n",
" <td>70</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>798</th>\n",
" <td>HoopaHoopa Unbound</td>\n",
" <td>Psychic</td>\n",
" <td>Dark</td>\n",
" <td>680</td>\n",
" <td>80</td>\n",
" <td>160</td>\n",
" <td>60</td>\n",
" <td>170</td>\n",
" <td>130</td>\n",
" <td>80</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>799</th>\n",
" <td>Volcanion</td>\n",
" <td>Fire</td>\n",
" <td>Water</td>\n",
" <td>600</td>\n",
" <td>80</td>\n",
" <td>110</td>\n",
" <td>120</td>\n",
" <td>130</td>\n",
" <td>90</td>\n",
" <td>70</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>65 rows × 12 columns</p>\n",
"</div>"
],
"text/plain": [
" name type subtype total hp attack defense \\\n",
"156 Articuno Ice Flying 580 90 85 100 \n",
"157 Zapdos Electric Flying 580 90 90 85 \n",
"158 Moltres Fire Flying 580 90 100 90 \n",
"162 Mewtwo Psychic NaN 680 106 110 90 \n",
"163 MewtwoMega Mewtwo X Psychic Fighting 780 106 190 100 \n",
".. ... ... ... ... ... ... ... \n",
"795 Diancie Rock Fairy 600 50 100 150 \n",
"796 DiancieMega Diancie Rock Fairy 700 50 160 110 \n",
"797 HoopaHoopa Confined Psychic Ghost 600 80 110 60 \n",
"798 HoopaHoopa Unbound Psychic Dark 680 80 160 60 \n",
"799 Volcanion Fire Water 600 80 110 120 \n",
"\n",
" special_attack special_defense speed generation legendary \n",
"156 95 125 85 1 True \n",
"157 125 90 100 1 True \n",
"158 125 85 90 1 True \n",
"162 154 90 130 1 True \n",
"163 154 100 130 1 True \n",
".. ... ... ... ... ... \n",
"795 100 150 50 6 True \n",
"796 160 110 110 6 True \n",
"797 150 130 70 6 True \n",
"798 170 130 80 6 True \n",
"799 130 90 70 6 True \n",
"\n",
"[65 rows x 12 columns]"
]
},
"execution_count": 47,
"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": 48,
"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": 48,
"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": 51,
"id": "510fa0fc-2b38-4725-9bbf-ec57d62792be",
"metadata": {},
"outputs": [
{
"data": {
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" <th>156</th>\n",
" <td>Articuno</td>\n",
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" <tr>\n",
" <th>239</th>\n",
" <td>Piloswine</td>\n",
" <td>Ice</td>\n",
" <td>Ground</td>\n",
" <td>450</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>80</td>\n",
" <td>60</td>\n",
" <td>60</td>\n",
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" <tr>\n",
" <th>243</th>\n",
" <td>Delibird</td>\n",
" <td>Ice</td>\n",
" <td>Flying</td>\n",
" <td>330</td>\n",
" <td>45</td>\n",
" <td>55</td>\n",
" <td>45</td>\n",
" <td>65</td>\n",
" <td>45</td>\n",
" <td>75</td>\n",
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" <td>False</td>\n",
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" <tr>\n",
" <th>257</th>\n",
" <td>Smoochum</td>\n",
" <td>Ice</td>\n",
" <td>Psychic</td>\n",
" <td>305</td>\n",
" <td>45</td>\n",
" <td>30</td>\n",
" <td>15</td>\n",
" <td>85</td>\n",
" <td>65</td>\n",
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" <td>2</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>395</th>\n",
" <td>Snorunt</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>300</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>396</th>\n",
" <td>Glalie</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>480</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>397</th>\n",
" <td>GlalieMega Glalie</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>580</td>\n",
" <td>80</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
" <td>100</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>398</th>\n",
" <td>Spheal</td>\n",
" <td>Ice</td>\n",
" <td>Water</td>\n",
" <td>290</td>\n",
" <td>70</td>\n",
" <td>40</td>\n",
" <td>50</td>\n",
" <td>55</td>\n",
" <td>50</td>\n",
" <td>25</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>399</th>\n",
" <td>Sealeo</td>\n",
" <td>Ice</td>\n",
" <td>Water</td>\n",
" <td>410</td>\n",
" <td>90</td>\n",
" <td>60</td>\n",
" <td>70</td>\n",
" <td>75</td>\n",
" <td>70</td>\n",
" <td>45</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>400</th>\n",
" <td>Walrein</td>\n",
" <td>Ice</td>\n",
" <td>Water</td>\n",
" <td>530</td>\n",
" <td>110</td>\n",
" <td>80</td>\n",
" <td>90</td>\n",
" <td>95</td>\n",
" <td>90</td>\n",
" <td>65</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>415</th>\n",
" <td>Regice</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>580</td>\n",
" <td>80</td>\n",
" <td>50</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>200</td>\n",
" <td>50</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>522</th>\n",
" <td>Glaceon</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>525</td>\n",
" <td>65</td>\n",
" <td>60</td>\n",
" <td>110</td>\n",
" <td>130</td>\n",
" <td>95</td>\n",
" <td>65</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>524</th>\n",
" <td>Mamoswine</td>\n",
" <td>Ice</td>\n",
" <td>Ground</td>\n",
" <td>530</td>\n",
" <td>110</td>\n",
" <td>130</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>60</td>\n",
" <td>80</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>530</th>\n",
" <td>Froslass</td>\n",
" <td>Ice</td>\n",
" <td>Ghost</td>\n",
" <td>480</td>\n",
" <td>70</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>110</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>643</th>\n",
" <td>Vanillite</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>305</td>\n",
" <td>36</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>65</td>\n",
" <td>60</td>\n",
" <td>44</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>644</th>\n",
" <td>Vanillish</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>395</td>\n",
" <td>51</td>\n",
" <td>65</td>\n",
" <td>65</td>\n",
" <td>80</td>\n",
" <td>75</td>\n",
" <td>59</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>645</th>\n",
" <td>Vanilluxe</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>535</td>\n",
" <td>71</td>\n",
" <td>95</td>\n",
" <td>85</td>\n",
" <td>110</td>\n",
" <td>95</td>\n",
" <td>79</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>674</th>\n",
" <td>Cubchoo</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>305</td>\n",
" <td>55</td>\n",
" <td>70</td>\n",
" <td>40</td>\n",
" <td>60</td>\n",
" <td>40</td>\n",
" <td>40</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>675</th>\n",
" <td>Beartic</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>485</td>\n",
" <td>95</td>\n",
" <td>110</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>80</td>\n",
" <td>50</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>676</th>\n",
" <td>Cryogonal</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>485</td>\n",
" <td>70</td>\n",
" <td>50</td>\n",
" <td>30</td>\n",
" <td>95</td>\n",
" <td>135</td>\n",
" <td>105</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>788</th>\n",
" <td>Bergmite</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>304</td>\n",
" <td>55</td>\n",
" <td>69</td>\n",
" <td>85</td>\n",
" <td>32</td>\n",
" <td>35</td>\n",
" <td>28</td>\n",
" <td>6</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>789</th>\n",
" <td>Avalugg</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>514</td>\n",
" <td>95</td>\n",
" <td>117</td>\n",
" <td>184</td>\n",
" <td>44</td>\n",
" <td>46</td>\n",
" <td>28</td>\n",
" <td>6</td>\n",
" <td>False</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name type subtype total hp attack defense \\\n",
"133 Jynx Ice Psychic 455 65 50 35 \n",
"156 Articuno Ice Flying 580 90 85 100 \n",
"238 Swinub Ice Ground 250 50 50 40 \n",
"239 Piloswine Ice Ground 450 100 100 80 \n",
"243 Delibird Ice Flying 330 45 55 45 \n",
"257 Smoochum Ice Psychic 305 45 30 15 \n",
"395 Snorunt Ice NaN 300 50 50 50 \n",
"396 Glalie Ice NaN 480 80 80 80 \n",
"397 GlalieMega Glalie Ice NaN 580 80 120 80 \n",
"398 Spheal Ice Water 290 70 40 50 \n",
"399 Sealeo Ice Water 410 90 60 70 \n",
"400 Walrein Ice Water 530 110 80 90 \n",
"415 Regice Ice NaN 580 80 50 100 \n",
"522 Glaceon Ice NaN 525 65 60 110 \n",
"524 Mamoswine Ice Ground 530 110 130 80 \n",
"530 Froslass Ice Ghost 480 70 80 70 \n",
"643 Vanillite Ice NaN 305 36 50 50 \n",
"644 Vanillish Ice NaN 395 51 65 65 \n",
"645 Vanilluxe Ice NaN 535 71 95 85 \n",
"674 Cubchoo Ice NaN 305 55 70 40 \n",
"675 Beartic Ice NaN 485 95 110 80 \n",
"676 Cryogonal Ice NaN 485 70 50 30 \n",
"788 Bergmite Ice NaN 304 55 69 85 \n",
"789 Avalugg Ice NaN 514 95 117 184 \n",
"\n",
" special_attack special_defense speed generation legendary \n",
"133 115 95 95 1 False \n",
"156 95 125 85 1 True \n",
"238 30 30 50 2 False \n",
"239 60 60 50 2 False \n",
"243 65 45 75 2 False \n",
"257 85 65 65 2 False \n",
"395 50 50 50 3 False \n",
"396 80 80 80 3 False \n",
"397 120 80 100 3 False \n",
"398 55 50 25 3 False \n",
"399 75 70 45 3 False \n",
"400 95 90 65 3 False \n",
"415 100 200 50 3 True \n",
"522 130 95 65 4 False \n",
"524 70 60 80 4 False \n",
"530 80 70 110 4 False \n",
"643 65 60 44 5 False \n",
"644 80 75 59 5 False \n",
"645 110 95 79 5 False \n",
"674 60 40 40 5 False \n",
"675 70 80 50 5 False \n",
"676 95 135 105 5 False \n",
"788 32 35 28 6 False \n",
"789 44 46 28 6 False "
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ice = pokemon[pokemon.type == \"Ice\"]\n",
"ice\n"
]
},
{
"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": 54,
"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>5</th>\n",
" <td>Charmeleon</td>\n",
" <td>Fire</td>\n",
" <td>NaN</td>\n",
" <td>405</td>\n",
" <td>58</td>\n",
" <td>64</td>\n",
" <td>58</td>\n",
" <td>80</td>\n",
" <td>65</td>\n",
" <td>80</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Charizard</td>\n",
" <td>Fire</td>\n",
" <td>Flying</td>\n",
" <td>534</td>\n",
" <td>78</td>\n",
" <td>84</td>\n",
" <td>78</td>\n",
" <td>109</td>\n",
" <td>85</td>\n",
" <td>100</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>CharizardMega Charizard X</td>\n",
" <td>Fire</td>\n",
" <td>Dragon</td>\n",
" <td>634</td>\n",
" <td>78</td>\n",
" <td>130</td>\n",
" <td>111</td>\n",
" <td>130</td>\n",
" <td>85</td>\n",
" <td>100</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>CharizardMega Charizard Y</td>\n",
" <td>Fire</td>\n",
" <td>Flying</td>\n",
" <td>634</td>\n",
" <td>78</td>\n",
" <td>104</td>\n",
" <td>78</td>\n",
" <td>159</td>\n",
" <td>115</td>\n",
" <td>100</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <td>Ninetales</td>\n",
" <td>Fire</td>\n",
" <td>NaN</td>\n",
" <td>505</td>\n",
" <td>73</td>\n",
" <td>76</td>\n",
" <td>75</td>\n",
" <td>81</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64</th>\n",
" <td>Arcanine</td>\n",
" <td>Fire</td>\n",
" <td>NaN</td>\n",
" <td>555</td>\n",
" <td>90</td>\n",
" <td>110</td>\n",
" <td>80</td>\n",
" <td>100</td>\n",
" <td>80</td>\n",
" <td>95</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>83</th>\n",
" <td>Ponyta</td>\n",
" <td>Fire</td>\n",
" <td>NaN</td>\n",
" <td>410</td>\n",
" <td>50</td>\n",
" <td>85</td>\n",
" <td>55</td>\n",
" <td>65</td>\n",
" <td>65</td>\n",
" <td>90</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>84</th>\n",
" <td>Rapidash</td>\n",
" <td>Fire</td>\n",
" <td>NaN</td>\n",
" <td>500</td>\n",
" <td>65</td>\n",
" <td>100</td>\n",
" <td>70</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>105</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" </tr>\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>135</th>\n",
" <td>Magmar</td>\n",
" <td>Fire</td>\n",
" <td>NaN</td>\n",
" <td>495</td>\n",
" <td>65</td>\n",
" <td>95</td>\n",
" <td>57</td>\n",
" <td>100</td>\n",
" <td>85</td>\n",
" <td>93</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>158</th>\n",
" <td>Moltres</td>\n",
" <td>Fire</td>\n",
" <td>Flying</td>\n",
" <td>580</td>\n",
" <td>90</td>\n",
" <td>100</td>\n",
" <td>90</td>\n",
" <td>125</td>\n",
" <td>85</td>\n",
" <td>90</td>\n",
" <td>1</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>170</th>\n",
" <td>Quilava</td>\n",
" <td>Fire</td>\n",
" <td>NaN</td>\n",
" <td>405</td>\n",
" <td>58</td>\n",
" <td>64</td>\n",
" <td>58</td>\n",
" <td>80</td>\n",
" <td>65</td>\n",
" <td>80</td>\n",
" <td>2</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>171</th>\n",
" <td>Typhlosion</td>\n",
" <td>Fire</td>\n",
" <td>NaN</td>\n",
" <td>534</td>\n",
" <td>78</td>\n",
" <td>84</td>\n",
" <td>78</td>\n",
" <td>109</td>\n",
" <td>85</td>\n",
" <td>100</td>\n",
" <td>2</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>238</th>\n",
" <td>Swinub</td>\n",
" <td>Ice</td>\n",
" <td>Ground</td>\n",
" <td>250</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>40</td>\n",
" <td>30</td>\n",
" <td>30</td>\n",
" <td>50</td>\n",
" <td>2</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>239</th>\n",
" <td>Piloswine</td>\n",
" <td>Ice</td>\n",
" <td>Ground</td>\n",
" <td>450</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>80</td>\n",
" <td>60</td>\n",
" <td>60</td>\n",
" <td>50</td>\n",
" <td>2</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>243</th>\n",
" <td>Delibird</td>\n",
" <td>Ice</td>\n",
" <td>Flying</td>\n",
" <td>330</td>\n",
" <td>45</td>\n",
" <td>55</td>\n",
" <td>45</td>\n",
" <td>65</td>\n",
" <td>45</td>\n",
" <td>75</td>\n",
" <td>2</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>257</th>\n",
" <td>Smoochum</td>\n",
" <td>Ice</td>\n",
" <td>Psychic</td>\n",
" <td>305</td>\n",
" <td>45</td>\n",
" <td>30</td>\n",
" <td>15</td>\n",
" <td>85</td>\n",
" <td>65</td>\n",
" <td>65</td>\n",
" <td>2</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>259</th>\n",
" <td>Magby</td>\n",
" <td>Fire</td>\n",
" <td>NaN</td>\n",
" <td>365</td>\n",
" <td>45</td>\n",
" <td>75</td>\n",
" <td>37</td>\n",
" <td>70</td>\n",
" <td>55</td>\n",
" <td>83</td>\n",
" <td>2</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>263</th>\n",
" <td>Entei</td>\n",
" <td>Fire</td>\n",
" <td>NaN</td>\n",
" <td>580</td>\n",
" <td>115</td>\n",
" <td>115</td>\n",
" <td>85</td>\n",
" <td>90</td>\n",
" <td>75</td>\n",
" <td>100</td>\n",
" <td>2</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>270</th>\n",
" <td>Ho-oh</td>\n",
" <td>Fire</td>\n",
" <td>Flying</td>\n",
" <td>680</td>\n",
" <td>106</td>\n",
" <td>130</td>\n",
" <td>90</td>\n",
" <td>110</td>\n",
" <td>154</td>\n",
" <td>90</td>\n",
" <td>2</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>278</th>\n",
" <td>Blaziken</td>\n",
" <td>Fire</td>\n",
" <td>Fighting</td>\n",
" <td>530</td>\n",
" <td>80</td>\n",
" <td>120</td>\n",
" <td>70</td>\n",
" <td>110</td>\n",
" <td>70</td>\n",
" <td>80</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279</th>\n",
" <td>BlazikenMega Blaziken</td>\n",
" <td>Fire</td>\n",
" <td>Fighting</td>\n",
" <td>630</td>\n",
" <td>80</td>\n",
" <td>160</td>\n",
" <td>80</td>\n",
" <td>130</td>\n",
" <td>80</td>\n",
" <td>100</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>395</th>\n",
" <td>Snorunt</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>300</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>396</th>\n",
" <td>Glalie</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>480</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>397</th>\n",
" <td>GlalieMega Glalie</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>580</td>\n",
" <td>80</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
" <td>100</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>398</th>\n",
" <td>Spheal</td>\n",
" <td>Ice</td>\n",
" <td>Water</td>\n",
" <td>290</td>\n",
" <td>70</td>\n",
" <td>40</td>\n",
" <td>50</td>\n",
" <td>55</td>\n",
" <td>50</td>\n",
" <td>25</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>399</th>\n",
" <td>Sealeo</td>\n",
" <td>Ice</td>\n",
" <td>Water</td>\n",
" <td>410</td>\n",
" <td>90</td>\n",
" <td>60</td>\n",
" <td>70</td>\n",
" <td>75</td>\n",
" <td>70</td>\n",
" <td>45</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>400</th>\n",
" <td>Walrein</td>\n",
" <td>Ice</td>\n",
" <td>Water</td>\n",
" <td>530</td>\n",
" <td>110</td>\n",
" <td>80</td>\n",
" <td>90</td>\n",
" <td>95</td>\n",
" <td>90</td>\n",
" <td>65</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>415</th>\n",
" <td>Regice</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>580</td>\n",
" <td>80</td>\n",
" <td>50</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>200</td>\n",
" <td>50</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>436</th>\n",
" <td>Monferno</td>\n",
" <td>Fire</td>\n",
" <td>Fighting</td>\n",
" <td>405</td>\n",
" <td>64</td>\n",
" <td>78</td>\n",
" <td>52</td>\n",
" <td>78</td>\n",
" <td>52</td>\n",
" <td>81</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>437</th>\n",
" <td>Infernape</td>\n",
" <td>Fire</td>\n",
" <td>Fighting</td>\n",
" <td>534</td>\n",
" <td>76</td>\n",
" <td>104</td>\n",
" <td>71</td>\n",
" <td>104</td>\n",
" <td>71</td>\n",
" <td>108</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>518</th>\n",
" <td>Magmortar</td>\n",
" <td>Fire</td>\n",
" <td>NaN</td>\n",
" <td>540</td>\n",
" <td>75</td>\n",
" <td>95</td>\n",
" <td>67</td>\n",
" <td>125</td>\n",
" <td>95</td>\n",
" <td>83</td>\n",
" <td>4</td>\n",
" <td>False</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>573</th>\n",
" <td>Simisear</td>\n",
" <td>Fire</td>\n",
" <td>NaN</td>\n",
" <td>498</td>\n",
" <td>75</td>\n",
" <td>98</td>\n",
" <td>63</td>\n",
" <td>98</td>\n",
" <td>63</td>\n",
" <td>101</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>615</th>\n",
" <td>DarmanitanStandard Mode</td>\n",
" <td>Fire</td>\n",
" <td>NaN</td>\n",
" <td>480</td>\n",
" <td>105</td>\n",
" <td>140</td>\n",
" <td>55</td>\n",
" <td>30</td>\n",
" <td>55</td>\n",
" <td>95</td>\n",
" <td>5</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>723</th>\n",
" <td>Delphox</td>\n",
" <td>Fire</td>\n",
" <td>Psychic</td>\n",
" <td>534</td>\n",
" <td>75</td>\n",
" <td>69</td>\n",
" <td>72</td>\n",
" <td>114</td>\n",
" <td>100</td>\n",
" <td>104</td>\n",
" <td>6</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>730</th>\n",
" <td>Fletchinder</td>\n",
" <td>Fire</td>\n",
" <td>Flying</td>\n",
" <td>382</td>\n",
" <td>62</td>\n",
" <td>73</td>\n",
" <td>55</td>\n",
" <td>56</td>\n",
" <td>52</td>\n",
" <td>84</td>\n",
" <td>6</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>731</th>\n",
" <td>Talonflame</td>\n",
" <td>Fire</td>\n",
" <td>Flying</td>\n",
" <td>499</td>\n",
" <td>78</td>\n",
" <td>81</td>\n",
" <td>71</td>\n",
" <td>74</td>\n",
" <td>69</td>\n",
" <td>126</td>\n",
" <td>6</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>736</th>\n",
" <td>Pyroar</td>\n",
" <td>Fire</td>\n",
" <td>Normal</td>\n",
" <td>507</td>\n",
" <td>86</td>\n",
" <td>68</td>\n",
" <td>72</td>\n",
" <td>109</td>\n",
" <td>66</td>\n",
" <td>106</td>\n",
" <td>6</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",
"5 Charmeleon Fire NaN 405 58 64 58 \n",
"6 Charizard Fire Flying 534 78 84 78 \n",
"7 CharizardMega Charizard X Fire Dragon 634 78 130 111 \n",
"8 CharizardMega Charizard Y Fire Flying 634 78 104 78 \n",
"43 Ninetales Fire NaN 505 73 76 75 \n",
"64 Arcanine Fire NaN 555 90 110 80 \n",
"83 Ponyta Fire NaN 410 50 85 55 \n",
"84 Rapidash Fire NaN 500 65 100 70 \n",
"133 Jynx Ice Psychic 455 65 50 35 \n",
"135 Magmar Fire NaN 495 65 95 57 \n",
"156 Articuno Ice Flying 580 90 85 100 \n",
"158 Moltres Fire Flying 580 90 100 90 \n",
"170 Quilava Fire NaN 405 58 64 58 \n",
"171 Typhlosion Fire NaN 534 78 84 78 \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",
"259 Magby Fire NaN 365 45 75 37 \n",
"263 Entei Fire NaN 580 115 115 85 \n",
"270 Ho-oh Fire Flying 680 106 130 90 \n",
"278 Blaziken Fire Fighting 530 80 120 70 \n",
"279 BlazikenMega Blaziken Fire Fighting 630 80 160 80 \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",
"436 Monferno Fire Fighting 405 64 78 52 \n",
"437 Infernape Fire Fighting 534 76 104 71 \n",
"518 Magmortar Fire NaN 540 75 95 67 \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",
"573 Simisear Fire NaN 498 75 98 63 \n",
"615 DarmanitanStandard Mode Fire NaN 480 105 140 55 \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",
"723 Delphox Fire Psychic 534 75 69 72 \n",
"730 Fletchinder Fire Flying 382 62 73 55 \n",
"731 Talonflame Fire Flying 499 78 81 71 \n",
"736 Pyroar Fire Normal 507 86 68 72 \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",
"5 80 65 80 1 False \n",
"6 109 85 100 1 False \n",
"7 130 85 100 1 False \n",
"8 159 115 100 1 False \n",
"43 81 100 100 1 False \n",
"64 100 80 95 1 False \n",
"83 65 65 90 1 False \n",
"84 80 80 105 1 False \n",
"133 115 95 95 1 False \n",
"135 100 85 93 1 False \n",
"156 95 125 85 1 True \n",
"158 125 85 90 1 True \n",
"170 80 65 80 2 False \n",
"171 109 85 100 2 False \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",
"259 70 55 83 2 False \n",
"263 90 75 100 2 True \n",
"270 110 154 90 2 True \n",
"278 110 70 80 3 False \n",
"279 130 80 100 3 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",
"436 78 52 81 4 False \n",
"437 104 71 108 4 False \n",
"518 125 95 83 4 False \n",
"522 130 95 65 4 False \n",
"524 70 60 80 4 False \n",
"530 80 70 110 4 False \n",
"573 98 63 101 5 False \n",
"615 30 55 95 5 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",
"723 114 100 104 6 False \n",
"730 56 52 84 6 False \n",
"731 74 69 126 6 False \n",
"736 109 66 106 6 False \n",
"788 32 35 28 6 False \n",
"789 44 46 28 6 False "
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"high_speed_ice = pokemon[(pokemon.type == \"Ice\")| (pokemon.type==\"Fire\") & (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": 5,
"id": "198cb0c6-3f43-43c2-9eee-3939c12ea537",
"metadata": {},
"outputs": [
{
"data": {
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" <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": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# list of people with no doctor\n",
"no_doctor = people[people.no_doctor]\n",
"no_doctor"
]
},
{
"cell_type": "markdown",
"id": "9d213707-a15b-4751-8df9-48aa568af209",
"metadata": {},
"source": [
"**1.3.1.** `health` asks people for their general health, with the meanings of numbers shown below. Create a dataframe which contains people whose general health is good or better. \n",
"\n",
"| number | health status | \n",
"| ------ | ----------- |\n",
"| 1 | Poor |\n",
"| 2 | Fair |\n",
"| 3 | Good |\n",
"| 4 | Very good |\n",
"| 5 | Excellent |"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "8a8c1ad6-4c1e-4996-ab5e-5212dadb1851",
"metadata": {},
"outputs": [
{
"data": {
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"\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>age</th>\n",
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" <td>35</td>\n",
" <td>female</td>\n",
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" </tr>\n",
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" <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",
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" <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",
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" <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": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# list of people with good to excellent health\n",
"healthy = people[(people.health >=3)]\n",
"healthy\n"
]
},
{
"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": 6,
"id": "315682ae-7d54-4d78-9a63-d23c83ba1576",
"metadata": {},
"outputs": [
{
"data": {
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" <td>True</td>\n",
" <td>7</td>\n",
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" <tr>\n",
" <th>146</th>\n",
" <td>65</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
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" <td>1.55</td>\n",
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" <td>True</td>\n",
" <td>True</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>259</th>\n",
" <td>65</td>\n",
" <td>female</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.57</td>\n",
" <td>56.70</td>\n",
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" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
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" <tr>\n",
" <th>...</th>\n",
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" <td>True</td>\n",
" <td>5</td>\n",
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" <tr>\n",
" <th>166219</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>other</td>\n",
" <td>1.52</td>\n",
" <td>59.87</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166272</th>\n",
" <td>25</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
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" <td>1.52</td>\n",
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" <td>3</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>8</td>\n",
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" <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": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# List of women with no doctor that graduated college\n",
"no_doc_grad_girls = people[(people.education == 4) & (people.sex == \"female\") & people.no_doctor == True]\n",
"no_doc_grad_girls"
]
},
{
"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": 7,
"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": 7,
"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": 8,
"id": "5c420c0e-b5d2-49ae-ab98-3305ee076169",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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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",
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" <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": 8,
"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": 9,
"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": 9,
"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": 14,
"id": "75c1ac4f-3914-4c0a-a156-2e084002df66",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"income\n",
"1 6.952208\n",
"2 6.985627\n",
"6 7.055784\n",
"8 7.074626\n",
"7 7.078495\n",
"4 7.079627\n",
"3 7.083274\n",
"5 7.100286\n",
"Name: sleep, dtype: float64"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# middle income gets the most sleep, and why aren't these people sleeping 8 hours?!\n",
"people.groupby(\"income\").sleep.mean().sort_values()\n"
]
},
{
"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": 22,
"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>income</th>\n",
" <th>health</th>\n",
" <th>education</th>\n",
" </tr>\n",
" <tr>\n",
" <th>sex</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>male</th>\n",
" <td>6.410121</td>\n",
" <td>3.606668</td>\n",
" <td>3.038464</td>\n",
" </tr>\n",
" <tr>\n",
" <th>female</th>\n",
" <td>5.997003</td>\n",
" <td>3.565111</td>\n",
" <td>3.088697</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" income health education\n",
"sex \n",
"male 6.410121 3.606668 3.038464\n",
"female 5.997003 3.565111 3.088697"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# list average income, health and education based on sex\n",
"sex = people.groupby(\"sex\")\n",
"sex[[\"income\", \"health\", \"education\"]].mean().sort_values(\"education\")"
]
},
{
"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": 23,
"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": 26,
"id": "5ce066fe-f81d-4b78-a394-c5c2f4dc9f46",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='attack', ylabel='Count'>"
]
},
"execution_count": 26,
"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": 27,
"id": "bceb253b-ef4f-4aa2-aef4-cab2b3ca6d59",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='Count', ylabel='attack'>"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.histplot(data=pokemon, y=\"attack\", bins=5)"
]
},
{
"cell_type": "markdown",
"id": "2aac9186-86c0-41db-a1c4-8719bb78b46b",
"metadata": {},
"source": [
"**When you want to compare the distribution of a numeric variable across categories**, a [barplot](https://seaborn.pydata.org/generated/seaborn.barplot.html) is a good choice. Choose one numeric column and one categorical column. \n",
"\n",
"Let's see pokémon hit points by legendary/non-legendary. `ci=\"sd\"` shows the standard deviation for each category. "
]
},
{
"cell_type": "code",
"execution_count": 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. `ci=None` removes the standard deviation bars, because they clutter up the plot with too much detail. "
]
},
{
"cell_type": "code",
"execution_count": 48,
"id": "17f1c289-5990-4420-bfcb-e50eee0b8af6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='type'>"
]
},
"execution_count": 48,
"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": 43,
"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": 44,
"id": "22f78bec-3d18-4133-ba9f-6595d7181ded",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='speed_category', ylabel='count'>"
]
},
"execution_count": 44,
"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": 49,
"id": "444d9832-bd57-4238-9ea4-5ee898847170",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='speed'>"
]
},
"execution_count": 49,
"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": 50,
"id": "86f9747b-00a3-407f-9b73-0bce40bac50d",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='speed'>"
]
},
"execution_count": 50,
"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": 51,
"id": "7385237c-6a5c-4041-af46-559d6d84d1fa",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x7f23ede67ec0>"
]
},
"execution_count": 51,
"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": 56,
"id": "3b268a30-42ff-4ab8-b2cd-c58a76121f9c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='Count', ylabel='height'>"
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.histplot(data=people, y=\"height\", bins=15)"
]
},
{
"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": 62,
"id": "ee30c851-14b1-4901-9182-4304d54d53a6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='age', ylabel='sleep'>"
]
},
"execution_count": 62,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=people, x=\"age\", y=\"sleep\", hue = \"age\", legend = False, errorbar=None, palette=\"muted\")"
]
},
{
"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": 64,
"id": "13eeecd8-2518-4ed9-aac5-727a96b5bf80",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='exercise', ylabel='income'>"
]
},
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=people, x=\"exercise\", y=\"income\", hue = \"exercise\", errorbar=None, palette=\"muted\")"
]
},
{
"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": 68,
"id": "4ee2eb69-2f9a-42e7-b5d3-9499631bfd06",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='age', ylabel='health'>"
]
},
"execution_count": 68,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=people, x=\"age\", y=\"health\", hue = \"exercise\", errorbar=None, palette=\"muted\")"
]
},
{
"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": 72,
"id": "d7e02da8-beab-40e7-95d0-74a5c2bc838e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='education', ylabel='income'>"
]
},
"execution_count": 72,
"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=people, x=\"education\", y=\"income\", alpha=.1)"
]
},
{
"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": 77,
"id": "b00dd7d6-226b-469c-86d8-b71b328aa576",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x7f23ecda77a0>"
]
},
"execution_count": 77,
"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": [
"weight_height = people[people.sex.isin([\"male\", \"female\"])]\n",
"sns.relplot(data = weight_height, x=\"height\", y=\"weight\", col=\"sex\", s=100, alpha = .1, edgecolor = None)"
]
},
{
"cell_type": "markdown",
"id": "e9ff7225-5d08-428b-90e8-ee60f4a4049a",
"metadata": {},
"source": [
"## 2. Crafting a data argument\n",
"\n",
"Everything up to here are just tools, worthless without a clear research question and a convincing argument. Choose a research question that interests you which might be answerable using the `people` dataset. Then do your best to find the answer in the space below. This answer should include data analysis (code cells) as well as written argument (text cells) explaining what the data means and why you believe it answers your question. \n",
"\n",
"Examples of research questions might include:\n",
"\n",
"- Do older people tend to have higher incomes?\n",
"- Do people who sleep at least 6 hours a night tend to report better health? \n",
"- Is it more common for males to be bisexual than females?\n",
"\n",
"**A note of caution:** this lab has given you tools for exploring associations--patterns that tend to co-occur. These tools *do not* equip you to argue that one variable causes another to change. For example: Plot 1.5.4 showed that people who are taller also tend to be heaver, with a lot of individual variation. But are people heavier *because* they are taller? Are they taller because they are heavier? Or maybe neither variable causes the other--perhaps they're both caused by something else. If you want to be able to answer questions like these, take a course on statistics."
]
},
{
"cell_type": "code",
"execution_count": 85,
"id": "eb8fa7d1-29ec-4f7d-967f-1051b58f9ac8",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='health', ylabel='sleep'>"
]
},
"execution_count": 85,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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QBBkAAC4xoaFhevnpGaVO9r0sIUHrP/+b1nzwgY78+KMKCgpK1h05dqzcIOOMjlZCrVpa+PpyZedk66pWrVSrZs2S9QWnTmnXnr0a+ac/yTCMkuUN6tZVrZo19c3+/QQZAABwYex2mxL/8IdSJ/v+7//9n2a8/LJu6tFDQwYMkNMZrRMZJzVlxgwVFhWVO47NZtPTf5miRStWaOb8BSooKNCVl1+uPw8ZrFbJycrOyZFhGJqzaJHmLFpU5v0//fJLlf2MZxBkAACoBjZt2aormjTR+Pv/XLJsx65d531fg3r1NOW//kvFxcXavXevFr6+Qo8/NU2rFr6mqMhI2Ww23X17X3VMTS3z3phop19/hvKY91axAADAb04VFiooqPT8xYZNf6/0+4OCgpTSooX633abcvPy9EtGhsLDwpSUmKjDPxxR4hVXlPmnTkJtf/8YZeuq8k8AAAAB1zYlRTPnz9fyVauV1CxR27Zv17927jznew58/73mLV6i6zp1VN06dZSbm6c33n5bdWrXVt06dSRJI/50rx6aNFlPPPucuqZ1UlRklH4+8Yu279ihP3a7Xq1btqjSn4sgAwDAOdSrHXNJfGavG3vox/R0vbf2Y61+7z21a9Na//3QeI3+r0cqfE98bKziY2P1xpq39UtGhiIjItQyKUmPjhsrh8MhSUpu1kwvT5+mpW+8qWdmzlJxcbFq1qyhq1q1Ur3L6vj95/g9ggwAAOUwDI/cbkOj7uoYkM8vdhsqdhvn3/B37r5niMaOGVPmkTYOh0MjB/9JIwf/qdTyDe+9W+r1ygXzS/49LjZWj44be97PTLziCk2b9PgF1+oPBBkAAMphGB5lZuZV+NDIn07kqLD4wh8fUFnePjSyuiHIAABQAcPwVPgw3IJTRTpF0Ag4rloCAACWRZABAACWRZABAACWRZABAACWRZABAACWRZABAACWRZABAACWRZABAACWxQ3xAACogN1uq/DOvmGhwbI7qm4+4ELv7Hv37d3Pu83DDzygP17fzZeyTIcgAwBAOex2m+LiwmW3O8pd73SGV+nnu91u7d6XXukwM3XaTElSeFiw4p3hGjbsT7r1ppvUrXNayTZnnlh9KSHIAABQjtOzMQ5999GCMg9grGrhNS5Tk173Kchhr3SQ+cOVSZKkqIgQ1Y6PkiTVrlVTSYmJFb7n1KlTCg0N9b3gACLIAABwDvknflR++uFAl+GzpW+8qdXvv6/n/2eqXlm4UPsPfqchA+7WlZdfoYcmTdKc555V4hVXlGw/adp05ebm6oWnnixZduiHH/Ta8uXasWu33G63Ulq00OhhQ1X3sssC8SNJ4mRfAACqjeLiYj31wovq3qWLpk+epLatW1f6vceOH9eYiY/KlZ2j/xrzgB4bP06ZrixNmDxFhUVFVVf0eTAjAwBANVFcXKwh9wxQ106dSpZ9/e9dlXrvslWrFB0VpWen/kUhISGSpORmzXTPiJH6ZP1n6v3/elZJzefDjAwAANXINW3bevW+7V/v0LXt28vhcMjtdsvtdis6KkpXNG2qb/bv93OVlceMDAAA1URYaKjCw7272irL5dLbH36otz/8sMy64KDAxQlTBpl3331XS5cu1YEDBxQREaGWLVvqlVdeUVhYWKBLAwDAumxl74kTEhIs6fRhp7Pl5ObIpt+2j46K0jXt2uqWnmUPIUV4GY78wXRBZu7cuVqwYIFGjhyp1q1b6+TJk/riiy/kdlf+pkAAAKByatWoIUk69MMRJTdrJun07Mu+Awd15eWXl2zXNiVF3x0+rCuaNJHDUf69dQLBVEHm4MGDeuWVVzRnzhx16dKlZPmNN94YwKoAALh01apZU82vvFLLV61SZGSEHHaH3nz3HUVGRpba7t67+uv+CQ9r4tT/0U09eiguNkYZmZnauWu3WiYllbrx3sVkqiDzzjvvqH79+qVCDAAAgRRe4+LfI+Vif+Zj48bq+Tlz9MzMWYqPjdXgAXfr883/q9zc3JJt6l12mWY/+4wWr1ipl199VfkFBaoRF6eWyUlq2rjRRa33bKYKMjt27NCVV16pOXPmaPny5crOzlaLFi306KOPKiUlxaexg4IqvkDLUYXPyqhO/LUf6Yfv6IV50AvzqGgfGkbZ80ZOL/fIMNxq0uu+qiyrQm63W8Vuw+v3f/7xxzKKCkte33tXf917V/9yt6172WV6/oknSi3rllZ2hqV+3bqa9PAEr2s625nTdRwO2zn/Rp+PqYLMzz//rF27dunbb7/VlClTFB4ernnz5mnIkCH661//qhq/Hse7UKeflxF5/g3hk6p+7ggqj16YB70wj4p6UVDg0C+/2Mv9g+pynSr3oZGS9NOJHBUWV935mxf60EirOf0ICLtiYiJ8upjHVEHG4/EoLy9PL7/8spr9esJRSkqKunXrptdff10PPvigV+MahkcuV16F6x0OO79s/MDlypfbh/96OIN++I5emAe9MI+KelFYeEqGYcjt9qi4+Py9stlO96PgVJFOXcJBo6qdnvEylJWVp/z8svvR6Qyv1EykqYKM0+lUbGxsSYiRpNjYWCUlJWm/jzfbqcyXE75xuw32s0nQC/OgF+ZRUS/cbs8FjeO5sM1RgTP7sbIBsiKmOuh6xVkPq/q9U6dOXcRKAACAFZgqyHTt2lWZmZnas2dPybKTJ09q9+7dSk5ODmBlAADAjEx1aKl79+5q2bKlxowZo3Hjxik0NFTz589XSEiI7r777kCXBwC4hHk4ZnRR+Wt/m2pGxm63a/78+WrdurUmT56s8ePHKyoqSitWrFCtWrUCXR4A4BJ05i61hYWcwnAxndnfDodvcyqmmpGRpPj4eD377LOBLgMAUE3Y7Q6Fh0cpJ+ekJCkkJFS2cp5JdDbDsMkwiiWP+a5aMtw2FRaeUrHbLcMw34nmNrdbxdlZysnJVHh4lOx23+ZUTBdkAAC42JzOeEkqCTPnY7fble3K9+mGdVWlqMAhoyhMRTmZ8hjmC1o2u0MhbrciI6MUFRXn83gEGQBAtWez2RQTU0PR0XFyu4vPua3DYVNMTIReXLZJR9NdF6nCymvdvK7u6ZWk/e/O1qkTPwa6nDJCa1ymxDvGyuUq8MutCQgyAAD8ym63y24POec2QUF2hYWFKTvfrYzswnNuGwgFhR6FhYXJXpgr5WUGupwy7NFOvz4921Qn+wIAAFwIggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsggwAALAsUwWZd955R4mJiWX+ee655wJdGgAAMKGgQBdQntdee03R0dElrxMSEgJYDQAAMCtTBpnk5GTFx8cHugwAAGBypjq0BAAAcCFMOSPTq1cvnTx5UnXr1tUdd9yhYcOGyeFw+DRmUFDFmc3hIM/5g7/2I/3wHb0wD3phHvTCXPy1H00VZGrVqqUHHnhAKSkpstls2rhxo1566SWlp6dr8uTJXo9rt9sUFxfpx0pRHqczPNAl4Ff0wjzohXnQC3PxVz9MFWTS0tKUlpZW8rpTp04KDQ3V0qVLNXLkSNWuXdurcQ3DI5crr8L1DoedL7gfuFz5crsNn8ehH76jF+ZBL8yDXpjL+frhdIZXatbGVEGmPD179tSiRYu0Z88er4OMJBUX+/7lxbm53Qb72STohXnQC/OgF+bir35woA8AAFiW6YPM2rVr5XA4lJSUFOhSAACAyZjq0NLQoUOVmpqqxMRESdKGDRu0evVqDRo0SLVq1QpwdQAAwGxMFWSaNGmit99+W8ePH5dhGGrcuLEee+wxDRw4MNClAQAAEzJVkHn88ccDXQIAALAQ058jAwAAUBGCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsKwgXwfIzMzU1q1bdfToUUlSvXr11KFDB8XFxflcHAAAwLn4FGRmzZqlBQsWqKioSB6Pp2R5cHCwhg0bpgcffNDnAgEAACridZCZPXu2Zs+ereuuu04DBgxQ48aNJUnfffedVqxYoXnz5ikoKEijRo3yV60AAACleH2OzJtvvqmuXbtq3rx5SktLU4MGDdSgQQN17txZr776qrp06aI33njD68Jyc3PVuXNnJSYm6t///rfX4wAAgEuX10EmJydHaWlpFa7v3LmzcnNzvR1ec+bMkdvt9vr9AADg0ud1kLnqqqu0c+fOCtfv3LlTV111lVdjHzhwQCtXrtQDDzzgbXkAAKAa8DrI/OUvf9FXX32ladOm6dChQzIMQ4Zh6NChQ3rqqaf09ddfa+rUqV6N/eSTT6p///5q0qSJt+UBAIBqwOuTfW+55RZ5PB4tX75cy5cvl91+OhMZhiFJCgkJ0S233FLqPTabTdu3bz/nuOvWrdO3336rWbNmaffu3d6WV0ZQUMWZzeHgdjr+4K/9SD98Ry/Mg16YB70wF3/tR6+DzI033iibzeaXIs7Iz8/XjBkzNG7cOEVFRfltXLvdpri4SL+Nh/I5neGBLgG/ohfmQS/Mg16Yi7/64XWQmTFjhl8KONvcuXNVo0YN9e3b16/jGoZHLldehesdDjtfcD9wufLldhs+j0M/fEcvzINemAe9MJfz9cPpDK/UrI3Pd/b1l6NHj2rRokWaPXu2srOzJUl5eXkl/5ubm6vISO9nVYqLff/y4tzcboP9bBL0wjzohXnQC3PxVz98CjLHjh3TvHnztG3bNmVkZGjOnDm6+uqrS/79tttuU1JSUqXGOnLkiIqKijR8+PAy6wYNGqSUlBStXr3al3IBAMAlxusgs3//fg0YMECGYahVq1Y6fPiwiouLJUnx8fHavn278vLyNG3atEqN17x5cy1btqzUsj179mj69OmaOnWqWrZs6W2pAADgEuV1kHn22WcVHR1dMkty7bXXllrfpUsXffLJJ5Uez+l0KjU1tdx1ycnJSk5O9rZUAABwifL62qd//vOfuuuuuxQfH1/u1Ut169ZVenq6T8UBAACci9czMh6PR2FhYRWuz8jIUEhIiLfDS5JSU1P1zTff+DQGAAC4dHk9I5OUlKRNmzaVu664uFgff/yxUlJSvC4MAADgfLwOMsOHD9fmzZs1ZcoU7du3T5J04sQJbd26VUOGDNHBgwfLvQIJAADAX7w+tNSlSxdNnz5d06ZNKznh9+GHH5bH41FUVJSefvppXX311X4rFAAA4Pd8uo9Mnz591KNHD23ZsqXkwZENGzZUp06d/PqIAQAAgPL4fGffiIgI3XDDDf6oBQAA4IL4FGTcbrfWrVunbdu26cSJExozZowSExOVnZ2tL774QldddZVq1qzpr1oBAABK8TrIuFwuDRs2TDt37lRERITy8/N1zz33SDo9S/Pkk0+qT58+Gj9+vN+KBQAAOJvXVy0999xz2rdvnxYuXKjPPvtMHo+nZJ3D4dCNN95Y4eXZAAAA/uB1kNmwYYMGDhyojh07lntn38aNG+vo0aM+FQcAAHAuXgeZ7Oxs1a9fv8L1xcXFcrvd3g4PAABwXl4HmYYNG2r37t0Vrt+yZYsuv/xyb4cHAAA4L6+DzO233663335ba9euLTk/xmazqbCwUC+++KI2b96sO++802+FAgAA/J7XVy3de++92r9/v8aPHy+n0ylJmjBhgjIzM1VcXKw777xT/fr181uhAAAAv+d1kLHZbCWXWH/66ael7uzbs2dPHk8AAACqnM939m3Xrp3atWvnj1oAAAAuiNfnyAAAAARapWdkunXrVu79Ys7FZrPps88+u+CiAAAAKqPSQaZ9+/YXHGQAAACqUqWDzIwZM6qyDgAAgAvm9Tkye/bs0UcffVRq2ebNmzVgwAD169dPS5cu9bk4AACAc/E6yDz77LNau3ZtyesffvhBo0eP1pEjRySdnsFZtWqV7xUCAABUwOsgs3fvXrVt27bk9fvvvy+73a53331Xb731lm688Ua9+eabfikSAACgPD49NDI2Nrbk9aZNm9SxY0fFx8dLkjp27KhDhw75XCAAAEBFvA4ytWrV0oEDByRJP/30k3bv3q2OHTuWrM/NzZXdzm1qAABA1fH6zr7XX3+9Xn/9dRUWFmrHjh0KCQnRDTfcULL+m2++UYMGDfxSJAAAQHm8DjJjx45VRkaG3n//fUVHR2v69OmqWbOmJCknJ0fr1q3TgAED/FYoAADA73kdZCIjI/X888+Xuy4iIkJ///vfFRYW5nVhAAAA5+PzQyPLY7fbFR0dXRVDAwAAlOBsXAAAYFkEGQAAYFkEGQAAYFkEGQAAYFkEGQAAYFkEGQAAYFkEGQAAYFkEGQAAYFlVckM8b23atEkLFizQ/v37lZOTo4SEBHXv3l2jR4/mBnsAAKAMUwWZzMxMtWrVSgMHDlRsbKz27dunWbNmad++fVq0aFGgywMAACZjqiDTu3fvUq9TU1MVEhKiSZMmKT09XQkJCQGqDAAAmJHpz5GJjY2VJBUVFQW2EAAAYDqmmpE5w+12q7i4WPv379fs2bPVrVs31a9f36cxg4IqzmwOh+nznCX4az/SD9/RC/OgF+ZBL8zFX/vRlEGma9euSk9PlySlpaXp+eef92k8u92muLhIf5SGc3A6wwNdAn5FL8yDXpgHvTAXf/XDlEFm/vz5ys/P1/79+zV37lyNHDlSixcvlsPh8Go8w/DI5cqrcL3DYecL7gcuV77cbsPnceiH7+iFedAL86AX5nK+fjid4ZWatTFlkGnWrJkkqU2bNmrZsqV69+6t9evX649//KPXYxYX+/7lxbm53Qb72STohXnQC/OgF+bir36Y/kBfYmKigoODdfjw4UCXAgAATMb0QWbHjh0qKiry+WRfAABw6THVoaXRo0erRYsWSkxMVFhYmPbu3auFCxcqMTFR3bt3D3R5AADAZEwVZFq1aqW1a9dq/vz58ng8qlevnvr166ehQ4cqJCQk0OUBAACTMVWQGT58uIYPHx7oMgAAgEWY/hwZAACAihBkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZRFkAACAZQUFuoCzffLJJ/rggw+0e/duuVwuNWrUSAMHDlTfvn1ls9kCXR4AADAZUwWZJUuWqF69epo4caLi4uK0detWTZo0ScePH9fo0aMDXR4AADAZUwWZuXPnKj4+vuR1hw4dlJmZqcWLF+v++++X3c6RMAAA8BtTJYOzQ8wZzZs3V05OjvLy8gJQEQAAMDNTzciUZ/v27UpISFBUVJRP4wQFVZzZHA5T5TnL8td+pB++oxfmQS/Mg16Yi7/2o6mDzJdffqm1a9fqkUce8Wkcu92muLhIP1WFijid4YEuAb+iF+ZBL8yDXpiLv/ph2iBz/PhxjRs3TqmpqRo0aJBPYxmGRy5XxYemHA47X3A/cLny5XYbPo9DP3xHL8yDXpgHvTCX8/XD6Qyv1KyNKYOMy+XSfffdp9jYWM2aNcsvJ/kWF/v+5cW5ud0G+9kk6IV50AvzoBfm4q9+mC7IFBQUaMSIEcrOztaqVasUHR0d6JIAAIBJmSrIFBcXa+zYsTp48KBWrFihhISEQJcEAABMzFRBZurUqfr88881ceJE5eTk6Ouvvy5Zl5SUpJCQkMAVBwAATMdUQWbLli2SpBkzZpRZt2HDBtWvX/9ilwQAAEzMVEFm48aNgS4BAABYCHf1AQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlhUU6ALOdujQIS1cuFA7duzQvn371LRpU3300UeBLgsAAJiUqYLMvn37tGnTJqWkpMgwDHk8nkCXBAAATMxUh5a6deumTZs2aebMmUpOTg50OQAAwORMFWTsdlOVAwAATM5Uh5aqUlBQxSHJ4SBA+YO/9iP98B29MA96YR70wlz8tR+rRZCx222Ki4sMdBmXPKczPNAl4Ff0wjzohXnQC3PxVz+qRZAxDI9crrwK1zscdr7gfuBy5cvtNnweh374jl6YB70wD3phLufrh9MZXqlZm2oRZCSpuNj3Ly/Oze022M8mQS/Mg16YB70wF3/1gwN9AADAsggyAADAskx1aCk/P1+bNm2SJB09elQ5OTlat26dJKl9+/aKj48PZHkAAMBkTBVkTpw4oQcffLDUsjOvly1bptTU1ECUBQAATMpUQaZ+/fr65ptvAl0GAACwCM6RAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlmW6IHPgwAENHjxYrVu3VseOHfXMM8+osLAw0GUBAAATCgp0AWfLysrSvffeq8aNG2vWrFlKT0/XjBkzVFBQoMmTJwe6PAAAYDKmCjJvvvmmcnNz9corryg2NlaS5Ha7NXXqVI0YMUIJCQmBLRAAAJiKqQ4t/f3vf1eHDh1KQowk9ezZU4ZhaMuWLYErDAAAmJLN4/F4Al3EGR06dFDfvn01YcKEUsvT0tLUu3fvMssry+PxyDAq/jFtNslutysrp0But+HVZ1SlkGCHoiJCVZTrksdwB7qcMmx2h4IjnTIMQ/74Npm5H/TCXMzcD3phHvTCXCrbD7vdJpvNdt7xTHVoyeVyyel0llkeExOjrKwsr8e12WxyOM6/M2Kiwrz+jIshOLLsvjETu92/E3xm7ge9MBcz94NemAe9MBd/9cNUh5YAAAAuhKmCjNPpVHZ2dpnlWVlZiomJCUBFAADAzEwVZJo2baqDBw+WWpadna2ff/5ZTZs2DVBVAADArEwVZDp37qytW7fK5XKVLFu3bp3sdrs6duwYwMoAAIAZmeqqpaysLN10001q0qSJRowYUXJDvJtvvpkb4gEAgDJMFWSk048oeOKJJ/TVV18pMjJSvXv31rhx4xQSEhLo0gAAgMmYLsgAAABUlqnOkQEAALgQBBkAAGBZBBkAAGBZBBkAAGBZBBkAAGBZBBkAAGBZBBkTO3TokCZPnqzevXsrKSlJvXr1CnRJ1dYnn3yiP//5z+rcubNat26t3r17a82aNeLuBRffpk2bdM899+iaa65RixYtdP3112v69OnlPqcNF1dubq46d+6sxMRE/fvf/w50OdXKO++8o8TExDL/PPfcc4EurcoFBboAVGzfvn3atGmTUlJSZBgGfzQDaMmSJapXr54mTpyouLg4bd26VZMmTdLx48c1evToQJdXrWRmZqpVq1YaOHCgYmNjtW/fPs2aNUv79u3TokWLAl1etTZnzhy53e5Al1Gtvfbaa4qOji55nZCQEMBqLg6CjIl169ZN3bt3lyRNnDhRu3btCnBF1dfcuXMVHx9f8rpDhw7KzMzU4sWLdf/998tuZ3LzYundu3ep16mpqQoJCdGkSZOUnp5eLX5xm9GBAwe0cuVKPfLII5oyZUqgy6m2kpOTS/2uqg747Wti/HE0j/J+MTRv3lw5OTnKy8sLQEU4W2xsrCSpqKgosIVUY08++aT69++vJk2aBLoUVDP8pQS8tH37diUkJCgqKirQpVRLbrdbp06d0u7duzV79mx169ZN9evXD3RZ1dK6dev07bffatSoUYEupdrr1auXmjdvruuvv16vvvpqtTjUx6ElwAtffvml1q5dq0ceeSTQpVRbXbt2VXp6uiQpLS1Nzz//fIArqp7y8/M1Y8YMjRs3jlAfQLVq1dIDDzyglJQU2Ww2bdy4US+99JLS09M1efLkQJdXpQgywAU6fvy4xo0bp9TUVA0aNCjQ5VRb8+fPV35+vvbv36+5c+dq5MiRWrx4sRwOR6BLq1bmzp2rGjVqqG/fvoEupVpLS0tTWlpayetOnTopNDRUS5cu1ciRI1W7du0AVle1OLQEXACXy6X77rtPsbGxmjVrFucxBVCzZs3Upk0b9evXT3PmzNG2bdu0fv36QJdVrRw9elSLFi3SmDFjlJ2dLZfLVXLOWF5ennJzcwNcYfXWs2dPud1u7dmzJ9ClVClmZIBKKigo0IgRI5Sdna1Vq1aVusQRgZWYmKjg4GAdPnw40KVUK0eOHFFRUZGGDx9eZt2gQYOUkpKi1atXB6AyVCcEGaASiouLNXbsWB08eFArVqzgEl+T2bFjh4qKijjZ9yJr3ry5li1bVmrZnj17NH36dE2dOlUtW7YMUGWQpLVr18rhcCgpKSnQpVQpgoyJ5efna9OmTZJOT+Hm5ORo3bp1kqT27dtXu3sFBNLUqVP1+eefa+LEicrJydHXX39dsi4pKUkhISGBK66aGT16tFq0aKHExESFhYVp7969WrhwoRITE0vuu4SLw+l0KjU1tdx1ycnJSk5OvsgVVV9Dhw5VamqqEhMTJUkbNmzQ6tWrNWjQINWqVSvA1VUtgoyJnThxQg8++GCpZWdeL1u2rMJfIPC/LVu2SJJmzJhRZt2GDRuYCbiIWrVqpbVr12r+/PnyeDyqV6+e+vXrp6FDhxIoUW01adJEb7/9to4fPy7DMNS4cWM99thjGjhwYKBLq3I2D/e9BwAAFsUlFwAAwLIIMgAAwLIIMgAAwLIIMgAAwLIIMgAAwLIIMgAAwLIIMgAAwLIIMgCqzKxZs5SYmKiMjIyAfO6FbHuxawTgHwQZANXCvHnz9NlnnwW6DAB+RpABUC28+uqrBBngEkSQAQAAlkWQAVDlsrOzNXHiRLVr105t27bVo48+qvz8/FLbvP/++7rtttvUqlUrtW/fXuPGjdOPP/5Yapsvv/xSY8aM0XXXXacWLVqoS5cumjZtmgoKCs75+YmJicrLy9O7776rxMREJSYmauLEiRdcIwDz4enXAKrc2LFjVb9+fY0fP17/+c9/9NZbbyk+Pl4PP/ywJGnu3Ll6+eWX1bNnT91+++3KyMjQ66+/rgEDBui9996T0+mUJK1bt04FBQW66667FBsbq507d+r111/X8ePHNXPmzAo//5lnntHjjz+uVq1a6Y477pAkNWzY8IJqBGBOBBkAVa558+aaNm1ayevMzEytWbNGDz/8sI4ePapZs2Zp7NixGjlyZMk2PXr00K233qqVK1eWLJ8wYYLCwsJKtrnzzjvVqFEjvfDCCzp27Jjq1q1b7uf37t1bf/nLX9SgQQP17t37gmsEYF4cWgJQ5fr371/qdbt27ZSZmamcnBytX79ehmGoZ8+eysjIKPmnZs2aatSokbZt21byvrNDTF5enjIyMtSmTRt5PB795z//qbIaAZgXMzIAqtzvZ0rOHCrKysrS999/L4/Hox49epT73qCg335NHTt2TDNnztTGjRuVlZVVajtfA8e5aoyKivJpbABVhyADoMrZ7eVP/no8HhmGIZvNpgULFsjhcJTZJiIiQpLkdrs1ePBgZWVladiwYWratKkiIiKUnp6uiRMnyjCMKqsRgHkRZAAEVMOGDeXxeFS/fn01adKkwu2+/fZbff/993r66afVp0+fkuVbtmy5CFUCMCvOkQEQUD169JDD4dArr7xSZvbD4/Ho5MmTkn6bMTl7G4/Ho2XLllXqcyIiIuRyufxUNQCzYEYGQEA1bNhQY8eO1fPPP6+jR4+qe/fuioyM1JEjR/TZZ5/pjjvu0NChQ9W0aVM1bNhQTz/9tNLT0xUVFaVPP/200uEkOTlZX3zxhRYvXqzatWurfv36SklJqeKfDkBVI8gACLjhw4ercePGWrJkiWbPni1JqlOnjjp27Khu3bpJkoKDgzVv3jw9+eSTevXVVxUaGqobbrhBAwYMqPCS6rNNnDhRkydP1ksvvaSCggLdeuutBBngEmDzcCYbAACwKM6RAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlkWQAQAAlvX/AewHHCq8j8ucAAAAAElFTkSuQmCC",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#Is there a correlation between healthy people who sleep more and exercise?\n",
"sns.barplot(data=people, x=\"health\", y=\"sleep\", hue = \"exercise\", errorbar = None)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6f934273-b829-4bc2-a7f4-a27a3fc44a99",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "8b4b852b-402c-45d4-b3bb-840e47b249ed",
"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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