mgunsolus
/
lab_pokemon
generated from mwc/lab_pokemon
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
lab_pokemon/lab_pokemon.ipynb

3969 lines
768 KiB
Plaintext
Raw Permalink Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

{
"cells": [
{
"cell_type": "markdown",
"id": "90041b00-672b-4bd4-a8e8-0cab3f0548af",
"metadata": {},
"source": [
"# Lab 04: Data Science Tools\n",
"\n",
"## 0. Jupyter Notebooks\n",
"\n",
"Welcome to your first Jupyter notebook! Notebooks are made up of cells. Some cells contain text (like this one) and others contain Python code. \n",
"\n",
"Each cell can be in two different modes: editing or running. To edit a cell, double-click on it. When you're done editing, press **shift+Enter** to run it. You can use [Markdown](https://www.markdownguide.org/cheat-sheet/) to add basic formatting to the text. Before you go on, try editing the text in this cell."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "5923b0d7-c0e0-48fa-b765-4aa6002c2d4f",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"3"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Other cells are code cells, containing Python code. (This is a comment, of course!)\n",
"# Try running this cell (again, shift+Enter). You'll see the result of the final statement \n",
"# printed below the cell. \n",
"# Then try changing the Python code and re-run it.\n",
"\n",
"1+1+1"
]
},
{
"cell_type": "markdown",
"id": "257ef44f-8f53-4136-9d0d-23a811ec53e9",
"metadata": {},
"source": [
"### 0.1 Cells share state\n",
"\n",
"Even though code cells run one at a time, anything that happens in a cell (like declaring a variable or running a function) affects the whole notebook. Try running these two cells a few times, in different orders. What happens when you run *Cell B* over and over?"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "0e2a2927-f6d1-4b13-97ae-ff97416723e9",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"10"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Cell A\n",
"x = 10\n",
"x"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "69dd7908-b213-4d0f-8016-e46a4a491961",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"40"
]
},
"execution_count": 4,
"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": 6,
"id": "ba09a0f8-27d9-456f-aeff-3980e3362d5b",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "a29d508a-2d9a-4d62-9ff6-7a0ecfd5eba4",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"pokemon = pd.read_csv(\"pokemon.csv\")\n",
"people = pd.read_csv(\"brfss_2020.csv\")"
]
},
{
"cell_type": "markdown",
"id": "d4e0b811-b8bf-4e9a-a934-3aad8f0520bb",
"metadata": {},
"source": [
"### 1.1 A first look\n",
"\n",
"#### Demo\n",
"\n",
"Let's start by learning the *shape* of the data. How many columns are there? How many rows? What kinds of data are included?"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "579d8dda-ca39-48b1-8819-b17651029729",
"metadata": {
"tags": []
},
"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>0</th>\n",
" <td>Bulbasaur</td>\n",
" <td>Grass</td>\n",
" <td>Poison</td>\n",
" <td>318</td>\n",
" <td>45</td>\n",
" <td>49</td>\n",
" <td>49</td>\n",
" <td>65</td>\n",
" <td>65</td>\n",
" <td>45</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Ivysaur</td>\n",
" <td>Grass</td>\n",
" <td>Poison</td>\n",
" <td>405</td>\n",
" <td>60</td>\n",
" <td>62</td>\n",
" <td>63</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>60</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Venusaur</td>\n",
" <td>Grass</td>\n",
" <td>Poison</td>\n",
" <td>525</td>\n",
" <td>80</td>\n",
" <td>82</td>\n",
" <td>83</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>80</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>VenusaurMega Venusaur</td>\n",
" <td>Grass</td>\n",
" <td>Poison</td>\n",
" <td>625</td>\n",
" <td>80</td>\n",
" <td>100</td>\n",
" <td>123</td>\n",
" <td>122</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Charmander</td>\n",
" <td>Fire</td>\n",
" <td>NaN</td>\n",
" <td>309</td>\n",
" <td>39</td>\n",
" <td>52</td>\n",
" <td>43</td>\n",
" <td>60</td>\n",
" <td>50</td>\n",
" <td>65</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </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>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": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon"
]
},
{
"cell_type": "markdown",
"id": "ee8b0718-56f9-4fc8-bd35-fa0ccb445179",
"metadata": {},
"source": [
"OK, 800 Pokémon, with 12 columns for each. And you can see all the columns. Not all the data is shown in this preview, of course. If there were more columns than could be displayed, you could see them all by typing `pokemon.columns`. \n",
"\n",
"#### Your turn\n",
"\n",
"Now do the same for your data set, `people`."
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "c9e5e4ec-b197-450c-ae2d-318006fa0a2f",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>age</th>\n",
" <th>sex</th>\n",
" <th>income</th>\n",
" <th>education</th>\n",
" <th>sexual_orientation</th>\n",
" <th>height</th>\n",
" <th>weight</th>\n",
" <th>health</th>\n",
" <th>no_doctor</th>\n",
" <th>exercise</th>\n",
" <th>sleep</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>other</td>\n",
" <td>1.55</td>\n",
" <td>83.01</td>\n",
" <td>2</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>65</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>1</td>\n",
" <td>heterosexual</td>\n",
" <td>1.65</td>\n",
" <td>78.02</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.65</td>\n",
" <td>77.11</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>55</td>\n",
" <td>male</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.83</td>\n",
" <td>81.65</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.80</td>\n",
" <td>76.66</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166420</th>\n",
" <td>45</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>3</td>\n",
" <td>heterosexual</td>\n",
" <td>1.63</td>\n",
" <td>86.18</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166421</th>\n",
" <td>25</td>\n",
" <td>male</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.78</td>\n",
" <td>86.18</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166422</th>\n",
" <td>25</td>\n",
" <td>female</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.91</td>\n",
" <td>45.36</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166423</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.60</td>\n",
" <td>68.04</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166424</th>\n",
" <td>35</td>\n",
" <td>male</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.75</td>\n",
" <td>86.18</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>166425 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" age sex income education sexual_orientation height weight \\\n",
"0 55 female 5 2 other 1.55 83.01 \n",
"1 65 female 8 1 heterosexual 1.65 78.02 \n",
"2 35 female 8 4 heterosexual 1.65 77.11 \n",
"3 55 male 8 4 heterosexual 1.83 81.65 \n",
"4 55 female 8 4 heterosexual 1.80 76.66 \n",
"... ... ... ... ... ... ... ... \n",
"166420 45 female 8 3 heterosexual 1.63 86.18 \n",
"166421 25 male 7 2 heterosexual 1.78 86.18 \n",
"166422 25 female 1 2 heterosexual 1.91 45.36 \n",
"166423 35 female 5 4 heterosexual 1.60 68.04 \n",
"166424 35 male 7 2 heterosexual 1.75 86.18 \n",
"\n",
" health no_doctor exercise sleep \n",
"0 2 True True 7 \n",
"1 3 False False 8 \n",
"2 4 True True 7 \n",
"3 5 False True 8 \n",
"4 4 False True 8 \n",
"... ... ... ... ... \n",
"166420 1 False False 6 \n",
"166421 4 False True 6 \n",
"166422 1 False False 8 \n",
"166423 4 True True 6 \n",
"166424 3 False False 8 \n",
"\n",
"[166425 rows x 11 columns]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people"
]
},
{
"cell_type": "markdown",
"id": "7fab76ef-d453-4568-a916-4d4c29535a42",
"metadata": {},
"source": [
"### 1.2 Descriptive Statistics\n",
"\n",
"#### Demo\n",
"\n",
"Let's get a sense of the data contained in some of the columns. For categorical data like `generation`, it makes sense to look at value counts--showing us how many of each category there are. You can use the optional keyword `normalize=True` to see percentage of total instead of frequencies. "
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "9afca362-9edc-423c-981b-dc42107d5de0",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"1 166\n",
"5 165\n",
"3 160\n",
"4 121\n",
"2 106\n",
"6 82\n",
"Name: generation, dtype: int64"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon.generation.value_counts()"
]
},
{
"cell_type": "markdown",
"id": "a9b98eee-bdc2-4c63-bab2-ee82e2466d0f",
"metadata": {},
"source": [
"For numeric data, we could start by looking at the mean value. We can select multiple columns and get all the column means at once."
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "8fbd5f4d-0fad-462c-9fa0-8793047120bc",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"0 45\n",
"1 60\n",
"2 80\n",
"3 80\n",
"4 39\n",
" ..\n",
"795 50\n",
"796 50\n",
"797 80\n",
"798 80\n",
"799 80\n",
"Name: hp, Length: 800, dtype: int64"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon [\"hp\"]"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "5fe580d0-5939-4152-9f8c-4c32d35a4479",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"hp 69.25875\n",
"attack 79.00125\n",
"defense 73.84250\n",
"speed 68.27750\n",
"dtype: float64"
]
},
"execution_count": 15,
"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": 17,
"id": "dc69ef53-70cd-4ae0-80e7-c9c8e28de76f",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"0.08125"
]
},
"execution_count": 17,
"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": 23,
"id": "8fbcc766-8399-4f93-a6c8-e0607250a72a",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"65 0.336326\n",
"55 0.206369\n",
"45 0.157669\n",
"35 0.135527\n",
"25 0.108866\n",
"18 0.055244\n",
"Name: age, dtype: float64"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people.age.value_counts()/len(people)"
]
},
{
"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": 25,
"id": "b7f910c8-3d40-49ae-b270-678734c04100",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"height 1.705082\n",
"weight 83.053588\n",
"dtype: float64"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people[[\"height\", \"weight\"]].mean()"
]
},
{
"cell_type": "markdown",
"id": "f74634bb-8664-46e4-b371-6f45cbb7c8ef",
"metadata": {},
"source": [
"**1.2.2.** The `exercise` column indicates whether a person has done any physical activity or exercise in the last 30 days, outside of work. What percentage of people have done exercise?"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "f3891188-a85f-4089-8388-d4d81c7438ad",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"0.7858014120474688"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people.exercise.mean()"
]
},
{
"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": 28,
"id": "12c0c6c9-c07b-4183-82f6-5e346c74aac9",
"metadata": {
"tags": []
},
"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>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>157</th>\n",
" <td>Zapdos</td>\n",
" <td>Electric</td>\n",
" <td>Flying</td>\n",
" <td>580</td>\n",
" <td>90</td>\n",
" <td>90</td>\n",
" <td>85</td>\n",
" <td>125</td>\n",
" <td>90</td>\n",
" <td>100</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>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",
" <td>True</td>\n",
" </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",
" <td>100</td>\n",
" <td>130</td>\n",
" <td>1</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </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": 28,
"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": 33,
"id": "5d089acf-7b76-4f91-8803-42a4a9a11e3e",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"0.03"
]
},
"execution_count": 33,
"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": 34,
"id": "510fa0fc-2b38-4725-9bbf-ec57d62792be",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>type</th>\n",
" <th>subtype</th>\n",
" <th>total</th>\n",
" <th>hp</th>\n",
" <th>attack</th>\n",
" <th>defense</th>\n",
" <th>special_attack</th>\n",
" <th>special_defense</th>\n",
" <th>speed</th>\n",
" <th>generation</th>\n",
" <th>legendary</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>133</th>\n",
" <td>Jynx</td>\n",
" <td>Ice</td>\n",
" <td>Psychic</td>\n",
" <td>455</td>\n",
" <td>65</td>\n",
" <td>50</td>\n",
" <td>35</td>\n",
" <td>115</td>\n",
" <td>95</td>\n",
" <td>95</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>156</th>\n",
" <td>Articuno</td>\n",
" <td>Ice</td>\n",
" <td>Flying</td>\n",
" <td>580</td>\n",
" <td>90</td>\n",
" <td>85</td>\n",
" <td>100</td>\n",
" <td>95</td>\n",
" <td>125</td>\n",
" <td>85</td>\n",
" <td>1</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>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>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": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ice = pokemon[pokemon.type == \"Ice\"]\n",
"ice"
]
},
{
"cell_type": "markdown",
"id": "0af5f534-0bec-4577-beee-29b350102265",
"metadata": {},
"source": [
"Let's get the high-speed ice pokémon. You can join conditions together using the `&` (and) and `|` (or) operators. `~` means \"not\", so `pokemon[~(pokemon.type == \"Ice\")]` would select all the non-ice pokémon. Due to order of operations, each condition needs to be wrapped in parentheses."
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "05d4c5c2-c6b4-4795-9799-c884b15445a1",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>type</th>\n",
" <th>subtype</th>\n",
" <th>total</th>\n",
" <th>hp</th>\n",
" <th>attack</th>\n",
" <th>defense</th>\n",
" <th>special_attack</th>\n",
" <th>special_defense</th>\n",
" <th>speed</th>\n",
" <th>generation</th>\n",
" <th>legendary</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>133</th>\n",
" <td>Jynx</td>\n",
" <td>Ice</td>\n",
" <td>Psychic</td>\n",
" <td>455</td>\n",
" <td>65</td>\n",
" <td>50</td>\n",
" <td>35</td>\n",
" <td>115</td>\n",
" <td>95</td>\n",
" <td>95</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>156</th>\n",
" <td>Articuno</td>\n",
" <td>Ice</td>\n",
" <td>Flying</td>\n",
" <td>580</td>\n",
" <td>90</td>\n",
" <td>85</td>\n",
" <td>100</td>\n",
" <td>95</td>\n",
" <td>125</td>\n",
" <td>85</td>\n",
" <td>1</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>396</th>\n",
" <td>Glalie</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>480</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>397</th>\n",
" <td>GlalieMega Glalie</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>580</td>\n",
" <td>80</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
" <td>100</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>524</th>\n",
" <td>Mamoswine</td>\n",
" <td>Ice</td>\n",
" <td>Ground</td>\n",
" <td>530</td>\n",
" <td>110</td>\n",
" <td>130</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>60</td>\n",
" <td>80</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" </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>676</th>\n",
" <td>Cryogonal</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>485</td>\n",
" <td>70</td>\n",
" <td>50</td>\n",
" <td>30</td>\n",
" <td>95</td>\n",
" <td>135</td>\n",
" <td>105</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name type subtype total hp attack defense \\\n",
"133 Jynx Ice Psychic 455 65 50 35 \n",
"156 Articuno Ice Flying 580 90 85 100 \n",
"396 Glalie Ice NaN 480 80 80 80 \n",
"397 GlalieMega Glalie Ice NaN 580 80 120 80 \n",
"524 Mamoswine Ice Ground 530 110 130 80 \n",
"530 Froslass Ice Ghost 480 70 80 70 \n",
"676 Cryogonal Ice NaN 485 70 50 30 \n",
"\n",
" special_attack special_defense speed generation legendary \n",
"133 115 95 95 1 False \n",
"156 95 125 85 1 True \n",
"396 80 80 80 3 False \n",
"397 120 80 100 3 False \n",
"524 70 60 80 4 False \n",
"530 80 70 110 4 False \n",
"676 95 135 105 5 False "
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"high_speed_ice = pokemon[(pokemon.type == \"Ice\") & (pokemon.speed >= 80)]\n",
"high_speed_ice"
]
},
{
"cell_type": "markdown",
"id": "c84dc7ce-24f2-4ac7-92d7-99ed331488e0",
"metadata": {},
"source": [
"You could get the pokémon who are fire or ice by selecting `pokemon[(pokemon.type == \"Fire\") | (pokemon.type == \"Ice\")]`."
]
},
{
"cell_type": "markdown",
"id": "1f0e9625-b194-450d-b003-b88798cc2f45",
"metadata": {},
"source": [
"#### Your turn\n",
"\n",
"**1.3.0.** `no_doctor` indicates whether there was a time in the last year when the person needed to see a doctor, but could not afford to do so. Create a dataframe containing only these people. "
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "198cb0c6-3f43-43c2-9eee-3939c12ea537",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>age</th>\n",
" <th>sex</th>\n",
" <th>income</th>\n",
" <th>education</th>\n",
" <th>sexual_orientation</th>\n",
" <th>height</th>\n",
" <th>weight</th>\n",
" <th>health</th>\n",
" <th>no_doctor</th>\n",
" <th>exercise</th>\n",
" <th>sleep</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>other</td>\n",
" <td>1.55</td>\n",
" <td>83.01</td>\n",
" <td>2</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.65</td>\n",
" <td>77.11</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>35</td>\n",
" <td>male</td>\n",
" <td>8</td>\n",
" <td>3</td>\n",
" <td>heterosexual</td>\n",
" <td>1.73</td>\n",
" <td>94.35</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.78</td>\n",
" <td>81.65</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>66</th>\n",
" <td>45</td>\n",
" <td>female</td>\n",
" <td>6</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.57</td>\n",
" <td>72.57</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166407</th>\n",
" <td>18</td>\n",
" <td>male</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.68</td>\n",
" <td>68.04</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166409</th>\n",
" <td>25</td>\n",
" <td>male</td>\n",
" <td>6</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.57</td>\n",
" <td>58.51</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166414</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>3</td>\n",
" <td>heterosexual</td>\n",
" <td>1.63</td>\n",
" <td>88.45</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166416</th>\n",
" <td>65</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.50</td>\n",
" <td>55.34</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166423</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.60</td>\n",
" <td>68.04</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>13784 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" age sex income education sexual_orientation height weight \\\n",
"0 55 female 5 2 other 1.55 83.01 \n",
"2 35 female 8 4 heterosexual 1.65 77.11 \n",
"24 35 male 8 3 heterosexual 1.73 94.35 \n",
"50 35 female 4 2 heterosexual 1.78 81.65 \n",
"66 45 female 6 4 heterosexual 1.57 72.57 \n",
"... ... ... ... ... ... ... ... \n",
"166407 18 male 5 2 heterosexual 1.68 68.04 \n",
"166409 25 male 6 2 heterosexual 1.57 58.51 \n",
"166414 55 female 8 3 heterosexual 1.63 88.45 \n",
"166416 65 female 5 2 heterosexual 1.50 55.34 \n",
"166423 35 female 5 4 heterosexual 1.60 68.04 \n",
"\n",
" health no_doctor exercise sleep \n",
"0 2 True True 7 \n",
"2 4 True True 7 \n",
"24 4 True False 8 \n",
"50 4 True False 10 \n",
"66 4 True True 7 \n",
"... ... ... ... ... \n",
"166407 3 True True 8 \n",
"166409 4 True False 7 \n",
"166414 3 True False 6 \n",
"166416 3 True False 6 \n",
"166423 4 True True 6 \n",
"\n",
"[13784 rows x 11 columns]"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people[people.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": 40,
"id": "8a8c1ad6-4c1e-4996-ab5e-5212dadb1851",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>age</th>\n",
" <th>sex</th>\n",
" <th>income</th>\n",
" <th>education</th>\n",
" <th>sexual_orientation</th>\n",
" <th>height</th>\n",
" <th>weight</th>\n",
" <th>health</th>\n",
" <th>no_doctor</th>\n",
" <th>exercise</th>\n",
" <th>sleep</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>65</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>1</td>\n",
" <td>heterosexual</td>\n",
" <td>1.65</td>\n",
" <td>78.02</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.65</td>\n",
" <td>77.11</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>55</td>\n",
" <td>male</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.83</td>\n",
" <td>81.65</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.80</td>\n",
" <td>76.66</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>55</td>\n",
" <td>male</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.80</td>\n",
" <td>74.84</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166418</th>\n",
" <td>55</td>\n",
" <td>male</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.57</td>\n",
" <td>63.50</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166419</th>\n",
" <td>45</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.52</td>\n",
" <td>68.04</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166421</th>\n",
" <td>25</td>\n",
" <td>male</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.78</td>\n",
" <td>86.18</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166423</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.60</td>\n",
" <td>68.04</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166424</th>\n",
" <td>35</td>\n",
" <td>male</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.75</td>\n",
" <td>86.18</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>142249 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" age sex income education sexual_orientation height weight \\\n",
"1 65 female 8 1 heterosexual 1.65 78.02 \n",
"2 35 female 8 4 heterosexual 1.65 77.11 \n",
"3 55 male 8 4 heterosexual 1.83 81.65 \n",
"4 55 female 8 4 heterosexual 1.80 76.66 \n",
"5 55 male 8 4 heterosexual 1.80 74.84 \n",
"... ... ... ... ... ... ... ... \n",
"166418 55 male 7 2 heterosexual 1.57 63.50 \n",
"166419 45 female 8 2 heterosexual 1.52 68.04 \n",
"166421 25 male 7 2 heterosexual 1.78 86.18 \n",
"166423 35 female 5 4 heterosexual 1.60 68.04 \n",
"166424 35 male 7 2 heterosexual 1.75 86.18 \n",
"\n",
" health no_doctor exercise sleep \n",
"1 3 False False 8 \n",
"2 4 True True 7 \n",
"3 5 False True 8 \n",
"4 4 False True 8 \n",
"5 5 False True 7 \n",
"... ... ... ... ... \n",
"166418 3 False True 8 \n",
"166419 3 False True 7 \n",
"166421 4 False True 6 \n",
"166423 4 True True 6 \n",
"166424 3 False False 8 \n",
"\n",
"[142249 rows x 11 columns]"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people[people.health >=3]"
]
},
{
"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": 44,
"id": "315682ae-7d54-4d78-9a63-d23c83ba1576",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>age</th>\n",
" <th>sex</th>\n",
" <th>income</th>\n",
" <th>education</th>\n",
" <th>sexual_orientation</th>\n",
" <th>height</th>\n",
" <th>weight</th>\n",
" <th>health</th>\n",
" <th>no_doctor</th>\n",
" <th>exercise</th>\n",
" <th>sleep</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.65</td>\n",
" <td>77.11</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>66</th>\n",
" <td>45</td>\n",
" <td>female</td>\n",
" <td>6</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.57</td>\n",
" <td>72.57</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>135</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>6</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.70</td>\n",
" <td>81.65</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>146</th>\n",
" <td>65</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.55</td>\n",
" <td>72.57</td>\n",
" <td>5</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>259</th>\n",
" <td>65</td>\n",
" <td>female</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.57</td>\n",
" <td>56.70</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166121</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.65</td>\n",
" <td>136.08</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166219</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>other</td>\n",
" <td>1.52</td>\n",
" <td>59.87</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166272</th>\n",
" <td>25</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.52</td>\n",
" <td>98.88</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166381</th>\n",
" <td>45</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.52</td>\n",
" <td>49.90</td>\n",
" <td>5</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166423</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.60</td>\n",
" <td>68.04</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>2321 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" age sex income education sexual_orientation height weight \\\n",
"2 35 female 8 4 heterosexual 1.65 77.11 \n",
"66 45 female 6 4 heterosexual 1.57 72.57 \n",
"135 55 female 6 4 heterosexual 1.70 81.65 \n",
"146 65 female 5 4 heterosexual 1.55 72.57 \n",
"259 65 female 4 4 heterosexual 1.57 56.70 \n",
"... ... ... ... ... ... ... ... \n",
"166121 35 female 8 4 heterosexual 1.65 136.08 \n",
"166219 55 female 5 4 other 1.52 59.87 \n",
"166272 25 female 8 4 heterosexual 1.52 98.88 \n",
"166381 45 female 5 4 heterosexual 1.52 49.90 \n",
"166423 35 female 5 4 heterosexual 1.60 68.04 \n",
"\n",
" health no_doctor exercise sleep \n",
"2 4 True True 7 \n",
"66 4 True True 7 \n",
"135 4 True True 7 \n",
"146 5 True True 7 \n",
"259 3 True True 6 \n",
"... ... ... ... ... \n",
"166121 4 True True 5 \n",
"166219 3 True True 5 \n",
"166272 3 True True 8 \n",
"166381 5 True True 6 \n",
"166423 4 True True 6 \n",
"\n",
"[2321 rows x 11 columns]"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people[(people.no_doctor) & (people.sex == \"female\") & (people.education == 4)]"
]
},
{
"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": 49,
"id": "069ea0ab-eff6-4985-9f46-db956fe1df91",
"metadata": {
"tags": []
},
"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": 49,
"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": 54,
"id": "5c420c0e-b5d2-49ae-ab98-3305ee076169",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"type\n",
"Electric 195.181818\n",
"Bug 198.579710\n",
"Fairy 201.352941\n",
"Psychic 209.771930\n",
"Normal 210.591837\n",
"Poison 210.750000\n",
"Grass 211.285714\n",
"Flying 215.750000\n",
"Ice 216.166667\n",
"Water 219.160714\n",
"Ghost 219.406250\n",
"Fire 222.442308\n",
"Dark 225.419355\n",
"Fighting 232.555556\n",
"Ground 254.375000\n",
"Rock 259.022727\n",
"Dragon 281.812500\n",
"Steel 284.296296\n",
"dtype: float64"
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ptypes = pokemon.groupby(\"type\")\n",
"ptypes[[\"hp\", \"attack\", \"defense\"]].mean().sum(axis=1).sort_values()"
]
},
{
"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": 55,
"id": "444a580d-e70c-48a1-bf87-77f98b8c9f85",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"type subtype \n",
"Electric Flying 0.600000\n",
"Rock Fairy 0.666667\n",
"Psychic Ghost 1.000000\n",
"Ground Fire 1.000000\n",
"Ghost Dragon 1.000000\n",
"Fire Water 1.000000\n",
" Steel 1.000000\n",
"Psychic Dark 1.000000\n",
" Fire 1.000000\n",
"Steel Dragon 1.000000\n",
"Rock Fighting 1.000000\n",
"Dragon Psychic 1.000000\n",
" Ice 1.000000\n",
" Fire 1.000000\n",
"Steel Fighting 1.000000\n",
"Dragon Electric 1.000000\n",
"Name: legendary, dtype: float64"
]
},
"execution_count": 55,
"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": 59,
"id": "75c1ac4f-3914-4c0a-a156-2e084002df66",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"income\n",
"1 6.952208\n",
"2 6.985627\n",
"3 7.083274\n",
"4 7.079627\n",
"5 7.100286\n",
"6 7.055784\n",
"7 7.078495\n",
"8 7.074626\n",
"Name: sleep, dtype: float64"
]
},
"execution_count": 59,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people.groupby(\"income\").sleep.mean()"
]
},
{
"cell_type": "markdown",
"id": "f6413f2b-26a0-4b70-976f-90e45558c4bb",
"metadata": {},
"source": [
"**1.4.0.** Is there a difference in peoples' income or general health, by sex and education level? "
]
},
{
"cell_type": "code",
"execution_count": 61,
"id": "d46df8a1-bbc2-45a4-9be1-cee1858cbf21",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th></th>\n",
" <th>income</th>\n",
" <th>health</th>\n",
" </tr>\n",
" <tr>\n",
" <th>sex</th>\n",
" <th>education</th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"4\" valign=\"top\">female</th>\n",
" <th>1</th>\n",
" <td>3.554701</td>\n",
" <td>2.848040</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>5.049022</td>\n",
" <td>3.315797</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>5.779390</td>\n",
" <td>3.483379</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>6.960652</td>\n",
" <td>3.844340</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"4\" valign=\"top\">male</th>\n",
" <th>1</th>\n",
" <td>4.433009</td>\n",
" <td>3.031525</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>5.742876</td>\n",
" <td>3.440818</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>6.270230</td>\n",
" <td>3.549105</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>7.190582</td>\n",
" <td>3.826512</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" income health\n",
"sex education \n",
"female 1 3.554701 2.848040\n",
" 2 5.049022 3.315797\n",
" 3 5.779390 3.483379\n",
" 4 6.960652 3.844340\n",
"male 1 4.433009 3.031525\n",
" 2 5.742876 3.440818\n",
" 3 6.270230 3.549105\n",
" 4 7.190582 3.826512"
]
},
"execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = people.groupby([\"sex\", \"education\"])\n",
"df[[\"income\", \"health\"]].mean()"
]
},
{
"cell_type": "markdown",
"id": "931d602b-ddf4-4c8b-80e0-f886267cce76",
"metadata": {},
"source": [
"### 1.5. Plotting \n",
"\n",
"Pandas has excellent built-in plotting capabilities, but \n",
"we are going to use the [seaborn](https://seaborn.pydata.org/) library because it's a bit \n",
"more intuitive and produces more beautiful plots. `set_theme`, called here without any arguments, assigns the default color palette. "
]
},
{
"cell_type": "code",
"execution_count": 63,
"id": "b1e06e4f-6b9e-42af-a27c-dbb525a259ce",
"metadata": {
"tags": []
},
"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": 64,
"id": "5ce066fe-f81d-4b78-a394-c5c2f4dc9f46",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='attack', ylabel='Count'>"
]
},
"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.histplot(data=pokemon, x=\"attack\")"
]
},
{
"cell_type": "code",
"execution_count": 65,
"id": "bceb253b-ef4f-4aa2-aef4-cab2b3ca6d59",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='Count', ylabel='attack'>"
]
},
"execution_count": 65,
"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": 66,
"id": "92be1ad0-12bb-49f0-a3f6-85fcfd98e943",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='legendary', ylabel='hp'>"
]
},
"execution_count": 66,
"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\", ci=\"sd\")"
]
},
{
"cell_type": "markdown",
"id": "4f75e1fa-a5d7-4d2c-a458-8190a7cd700e",
"metadata": {},
"source": [
"Here, we use a barplot to show average hit points by type. `ci=None` removes the standard deviation bars, because they clutter up the plot with too much detail. "
]
},
{
"cell_type": "code",
"execution_count": 69,
"id": "17f1c289-5990-4420-bfcb-e50eee0b8af6",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='type'>"
]
},
"execution_count": 69,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAmUAAAG5CAYAAADPm0PuAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAABppklEQVR4nO3de3zP9f//8dv7vYMd2GbM+ZDjMJvNCHMYk5yPH9JpKIWYyjEqpBTpI7JRyClUPg5JKfoiPn1KPgmpdJBSDo2xI2Ps/X7//vDb+9PbCLN5v9+v3a+Xyy4X79fxcd8Wj57P18Fks9lsiIiIiIhTmZ1dgIiIiIioKRMRERFxCWrKRERERFyAmjIRERERF6CmTERERMQFqCkTERERcQFqykRERERcgJoyERERERegpkxERETEBXg6uwC5OTabDavVuC9hMJtNhs4HymgERs8HymgURs/oLvnMZhMmk+m626kpczMmk4lz5y5gsVidXUqh8/AwExDga9h8oIxGYPR8oIyuxGot+P+Ie3qaKV3an8zMbHJzXTdjQblTvuBgfzw81JQZjs1mIyDA19llFCmj5wNlNAKj5wNldAUWi5X09Gy3GA2SW6emzM2YTCbmrT3I8ZRsZ5ciIiJFqHKIHyP6NnCbKTq5dYZuynbu3MnKlSv59ttvycrKIjAwkIYNG9KjRw+6dOmC2eye9zkcT8nmyJ9nnV2GiIiIFCLDNmWvvvoqCxYsoEOHDkyePJmQkBBOnz7N1q1bGTduHIGBgbRu3drZZYqIiIgABm3KduzYwYIFC0hISGDkyJEO6zp37szAgQPx9Lx6dIvFgtVqxcvL63aUKiIiIgIYtClbunQpISEhPPbYY1ddHxERYf9zfHw8fn5+dOrUiTfeeIOjR4+yevVqypcvz+zZs/nvf/9LSkoKFSpUoFOnTiQkJODt7W3ff+3atSxdupSjR4/i6+tLzZo1mThxov0c11svIiIiAgZsynJzc9m7dy8dO3a85mjYlb777juOHz/OE088QUBAABUrVuTMmTMEBQUxceJEAgICOHLkCImJiaSkpDB9+nQAvvrqK5555hkefvhhYmNjuXDhAgcOHCArK+uG1ouIiIjkMVxTlp6ezsWLF6lYsaLDcpvNhsVisX82m832C/0zMjJYu3atwz5ly5blqaeesn9u3Lgxvr6+TJgwgcmTJ+Pr68uBAwcICgpy2K5t27b2P19vvYiIiEge97z98AZc+eTcLVu2EBYWZv+aNm2afV3dunWv2sQtW7aMLl26EBERQVhYGGPHjiU3N5ejR48C0KBBA9LT05kwYQKff/4558+fdzjG9daLiIiI5DFcUxYUFIS3tzfJyckOy1u0aMHatWtZu3YtISEhDuvKli2b7zjLly/n5Zdfpn379syfP581a9YwefJkAHJycuzHnDlzJocOHWLw4ME0b96c8ePHk56efkPrRURERPIYbvrS09OTxo0bs2vXLiwWCx4eHgAEBgYSHh4O4HChPuQfVQPYvHkzcXFxjBkzxr7s8OHD+bbr2bMnPXv2JDU1lW3btjF9+nQ8PT156aWXbmi9iIiICBhwpAzgoYce4tSpU7zxxhsFPsaFCxfyPRbjgw8+uOb2wcHB9OvXj5YtW/Lrr7/e9HoREREp3gw3UgaXL6YfMmQIc+fO5ccff6Rz586UK1eOrKws9uzZQ0pKCv7+/n97jJiYGN566y1WrlzJHXfcwcaNG/n9998dtpk7dy7p6enceeedlClThp9//pnPPvuMQYMG3dB6ERERkTyGbMoAxowZQ3R0NKtWrWLq1KmcPXuWwMBAwsLCeOmll+jatevf7j9ixAjS0tKYO3cuAB07duTZZ59l2LBh9m3Cw8NZvnw5H3/8MWfPnqVChQoMHjzY/ny0660XERERyWOy2Wx6y6mbefr1PXr3pYiIwd1RsSQvPdaEtLRz5OZab3p/T08zpUv7F3h/V+dO+YKD/fHwuP4VY4YdKTOyyiF+zi5BRESKmP6uL37UlLkZm83GiL4NnF2GiIjcBhaLFatVE1rFhZoyN2MymcjMPI/F4tpDtQXh4WEmIMDXsPlAGY3A6PlAGV2J1WpTU1aMqClzQxaL1eXnz2+F0fOBMhqB0fOBMorcbmrK3NCNXCzojvJyGTUfKKMRGD0fKKNRXO3B6OLadPelm7HZbPoPTURErstmtWAye7jF3YkFobsvxelMJhN/blrAxTMnnF2KiIi4KO8ylajYdaizy5CbpKbMDV08c4KcU79ff0MRERFxG2rKriIxMZGkpKR8y+vUqcOhQ4cYP348gwcPdkJlIiIiYlRqyq7Bx8eH5cuX51t24cIFKlWq5KSqRERExKjUlF2D2WwmMjLypvezWCxYrVa8vLwKvygRERExLOPeC1xEQkNDWbx4sf1zfHw8Q4cO5b333qNjx46Eh4fz448/ArBjxw769etHREQEzZs3Z8qUKWRnZzurdBEREXFhGin7G7m5uQ6fPTw8rrrdd999x/Hjx3niiScICAigYsWKbN68mVGjRtGnTx9GjhxJSkoKs2bNIjMzk9mzZ9+O8kVERMSNqCm7huzsbMLCwhyWzZw586rbZmRksHbtWipWrAhcfpbYzJkz6dKlCy+++KJ9u5CQEIYMGcLw4cOpU6dO0RUvIiIibkdN2TX4+PiwcuVKh2VVq1a96rZ169a1N2QAv/32G8ePH+fpp592GG278847MZvNfPfdd2rKRERExIGasmswm82Eh4ff0LZly5Z1+JyWlgbAiBEjrrr9n3/+eWvFiYiIiOGoKSsEV772KCgoCIDJkycTERGRb/ty5crdjrJERETEjagpKwI1a9akQoUKHD16lAceeMDZ5YiIiIgbUFNWBEwmExMmTGDs2LFkZ2fTtm1bfH19OXHiBDt37mTUqFHUqFHD2WWKiIiIC1FTVkQ6d+5MQEAAb7zxBh988AEAlStXpnXr1vmuQRMREREx2Ww2m7OLkJvz+1tT9EJyERG5phLlqlN9wFQA0tLOkZtrdXJFhc/T00zp0v5ukS842B8Pj+s/r18jZW7Iu4zevSkiItemfyfck5oyN2Oz2ajYdaizyxARERdns1owma/+JhpxTWrK3IzJZCIz8zwWi2sP1RaEh4eZgABfw+YDZTQCo+cDZTQKk8lEUJCfs8uQm6CmzA1ZLFaXnz+/FUbPB8poBEbPB8ro7jw9r38Nk7gWNWVu6EYuFnRHebmMmg+U0QiMng+U0ShuNqPVasNq1b1/zqS7L92MzWbL9wYBERGRW2WxWklPy3abxkx3X4rTmUwm3jm4klPZJ51dioiIGEQ5v/Lc1+BBzGaT2zRlRmSYpmzt2rU888wzbNmyhTvuuMO+fMWKFUybNo0RI0bw+OOP25enp6fTvHlzxowZw6OPPvq3x87MzGT58uV07tyZ2rVrF1WEG3Yq+yTHzx53dhkiIiJSiAwzmd64cWMA9u3b57B87969+Pr65lu+b98+bDYb0dHR1z12ZmYmSUlJ/PLLL4VXsIiIiMhfGKYpq1mzJsHBwezdu9dh+d69e+nduzf79+/HYrE4LC9RogQNGza83aVis9m4ePHibT+viIiIuC7DNGVwebTsr03ZiRMnSE5OZsCAAVy8eJGffvrJvm7v3r00bNiQo0ePMmrUKGJjY2nUqBFdunRhyZIlWK2XLxo8duwY7du3B+CJJ54gNDSU0NBQjh07BsDFixd59dVXadeuHQ0bNqRz5872d13mmTBhAt26dWPnzp306NGD8PBwtm/fXtTfDhEREXEjhrmmDC43Zdu2bSMjI4PAwED27t1LxYoVqVGjBqGhoezdu5cGDRpw6dIlvv32WwYOHMipU6eoUaMG3bt3x9/fnx9++IHExESys7NJSEigXLlyJCUlkZCQwOjRo2nWrBkA5cqVAy43anv37mXEiBHUqlWLnTt3Mm7cOAICAoiNjbXXdurUKaZNm8Zjjz1GxYoVqVRJr8AQERGR/zFUUxYdHY3NZmP//v3Exsayb98+oqKigMsN2759+3jwwQc5ePAgOTk5REdH06JFC1q0aAFgv8bswoULrFy5koSEBLy9valfvz4A1atXJzIy0n6+L7/8ku3bt7N48WJatWoFQMuWLUlJSSExMdGhKcvIyGDRokU0atToNn03RERExJ0YavoyLCwMHx8f+xTm3r177U1ZZGSkw3KTyURUVBQ5OTnMnTuXDh06EB4eTlhYGLNnzyYlJYVz58797fk+//xzgoKCaN68Obm5ufavmJgYfvjhB4dr2IKCgtSQiYiIyDUZaqTMy8uL8PBw9u7dy7lz5/jpp5/sTVlUVJT9GrO9e/dSu3ZtAgMDmTZtGmvWrGHEiBE0bNiQUqVKsW3bNl5//XVycnLw9/e/5vnS0tJIT08nLCzsqutTUlKoUKECAGXLli38wCIiImIYhmrK4PIU5vLly/n6668dph4rV65MSEgIe/fuZd++fcTFxQGwefNm+vfvz5AhQ+zH2Llz5w2dKzAwkODgYBYuXHjV9cHBwfY/6yn8IiIi8ncM15Q1btyYN954g1WrVhEeHo6np6fDuvfff5+UlBT7c81ycnLw8vKyb2OxWNi0aZPDMfPW5+TkOCyPiYnhzTffxMvLi3r16hVVJBERESkGDNeURUVFYTab2blzp8PoF1y+rmzmzJkA9ofGxsTEsGbNGmrXrk3p0qV5++238z1DLCQkhICAADZt2kSVKlXw9vYmNDSUli1b0q5dOx555BEeeeQRQkNDOX/+PL/88gu///47L7744u0JLSIiIm7PUBf6AwQEBFC7dm1sNpv9erI8UVFR2Gw2ypUrR9WqVQGYNGkSTZs25YUXXuCZZ56hbt26DBs2zGE/s9nM9OnTOXbsGIMGDaJv376cOnUKgLlz53Lvvffyzjvv8Oijj/LMM8/wn//8h6ZNm96ewCIiImIIJpvNpjePupnX9szSuy9FRKTQVC5ZmSeajCEt7Ry5uVZnl3NDPD3NlC7t7xY1Bwf74+Fx/XEww01fFgfl/Mo7uwQRETEQ/bviGjRS5mZsNpvu5BQRkUJnsVpJT8vGanWPtkAjZeJ0JpOJzMzzWCyu/QtYEB4eZgICfA2bD5TRCIyeD5TRKG42o9Vqc5uGzKjUlLkhi8Xq8v9XcCuMng+U0QiMng+U0SiKQ0ajUFPmhm5kCNQd5eUyaj5QRiMwej5w/Ywa0RGjUlPmZmw2GwEBvs4uo0gZPR8ooxEYPR+4bkarxUJa+nk1ZmI4asrcjMlk4tBbb3H+5ElnlyIictv5li9PnQEDMJtNasrEcNSUuaHzJ0+SfeyYs8sQERGRQqSm7P9LTEwkKSnJ/tnb25sqVarQp08fBg8ejNnsmtdWiIiIiDGoKfsLHx8fli9fDsCFCxfYvXs3s2bNwmaz5XuPpoiIiEhhUlP2F2azmcjISPvn5s2b8/PPP/PJJ5+oKRMREZEipTm56/D39yc3NxeA3bt3ExoayrfffuuwzfDhw4mPj3dY9n//93907NiR8PBw7rnnHr7//nuaNGlCYmLibatdRERE3Ieasivk5uaSm5vL2bNn2bZtG5988gkdO3a8qWMcPHiQJ554gtq1a5OUlESvXr0YNWoUFy9eLKKqRURExN1p+vIvsrOzCQsLc1jWpUuXm566XLBgAVWqVCExMdF+g4C/vz/jx48vtFpFRETEWNSU/YWPjw8rV64E4OLFi3z//ffMnTuXZ599lunTp9/wcb799lvuuusuhzs227dvX+j1ioiIiHGoKfsLs9lMeHi4/XN0dDQWi4UZM2bw0EMP3fBxUlJSCA4OdlhWsmRJSpQoUWi1ioiIiLHomrLrqFmzJgC//PKLvam6dOmSwzaZmZkOn0NCQkhNTXVYdvbsWXJycoqwUhEREXFnasqu49ChQwCULl2aChUqAHD48GH7+tTUVL7//nuHfcLDw9mxYwdWq9W+bOvWrbehWhEREXFXmr78C6vVyv79+4HLo2Hff/89r7/+OrVr16ZJkyZ4eXnRqFEj5s2bR6lSpfD09GTRokWUKlXK4ThDhw6lb9++jBw5knvuuYcTJ06wZMkSSpQogclkckIyERERcXVqyv7iwoUL9O/fHwBPT08qVKhAjx49SEhIwMvLC4B//vOfPPvss0ycOJGyZcvy5JNPsmnTJrKysuzHadCgAXPmzGHWrFkkJCRQp04dZsyYwYABA/I1cCIiIiKgpsxu5MiRjBw58rrbVatWjbfeesthWdeuXfNtd/fdd3P33XfbP+/atYvc3Fzq169/68WKiIiI4agpKyLPPfccLVq0ICgoiF9++YX58+fToEEDmjRpcsvH9i1fvhAqFBFxP/r7T4xMTVkRyczM5IUXXiA9PZ2SJUvSunVrnnrqKYdnlxWEzWajzoABhVSliIj7sVosWK02Z5chUujUlBWRV199tUiOazKZyMw8j8Vivf7GbsbDw0xAgK9h84EyGoHR84HrZ7RabWrKxJDUlLkhi8VKbq7r/UVZWIyeD5TRCIyeD4pHRhFXoqbMDXl4GPPxcnm5jJoPlNEIjJ4PlNEo3CWjRj7/x2Sz2fSdcCM2m03POhMREcOwWqykpWffdGPm6WmmdGl/0tLOufyIbnCw/w01xxopczMmk4n/e2c3qaeyrr+xiIiICwsuV4oO9zXDbDZptAw3acoSExNJSkqiSZMmrFq1ymHdiy++yLZt29i+fbuTqrtxiYmJLFmyhH379t3ScVJPZXH6eHrhFCUiIiIuwbUnmq+wZ88edu/e7ewyRERERAqd2zRlfn5+REREMH/+/EI/9sWLFx1eHi4iIiJyu7lNUwYwfPhwvvzyS/bu3XvNbY4fP87jjz9OdHQ0kZGRDB48mJ9++slhm7i4OJ5//nkWLVpEu3btiIiIID09nfj4eIYOHcqHH37I3XffTaNGjRg2bBgZGRkcP36cwYMHExUVRdeuXfON2G3YsIH77ruPO++8k6ZNmxIfH8+BAweK5PsgIiIixuMW15TladeuHQ0aNGDevHksXrw43/qzZ88SHx+P2Wxm6tSplChRgtdff50HH3yQjRs3UrFiRfu2n3zyCdWrV+eZZ57BbDbj5+cHwMGDB0lLS2P8+PGcPXuWadOmMWnSJI4fP06vXr146KGHWLBgASNHjuTTTz/F398fgGPHjtGrVy+qVavGxYsX2bRpEw888AAbN26kRo0at+cbJCIiIm7LrZoygMcee4yRI0dy4MABIiIiHNatX7+eEydOsGnTJmrVqgVA06ZNadeuHcuXL2fChAn2bS9dusSiRYvszVies2fP8sYbbxAcHAzATz/9xJIlS3juuee47777AChXrhzdu3dn165d3HXXXQAkJCTYj2G1WmnZsiUHDhzgvffeY/To0YX/jRARERFDcavpS4AOHTpQt25d5s2bl2/dnj17qFOnjr0hAwgKCiImJoavv/7aYdtmzZrla8gA6tWrZ2/IAO644w4AYmJi8i1LTk62Lzt8+DAjRowgJiaG+vXrExYWxm+//caRI0cKElNERESKGbdrykwmE8OGDWPHjh18//33DusyMzMpW7Zsvn3KlClDRkZGvmVXExAQ4PDZy8sLgFKlStmXeXt7A5CTkwNcHl17+OGHOXHiBBMmTGDVqlWsXbuWevXq2bcRERER+TtuN30J0LlzZxITE5k/fz6VKlWyLw8MDOS3337Lt/2ZM2cIDAx0WFaYT8Xfv38/ycnJLFiwgHr16tmXZ2VlUaFChUI7j4iIiBiX242UAZjNZoYNG8a2bdsc7qyMjo7m559/5tdff7Uvy8jI4IsvviA6OrrI6rlw4QLwv1E1gL1793L8+PEiO6eIiIgYi1s2ZQDdu3enatWqDo+m6NOnD5UqVWLo0KFs2rSJrVu38vDDD+Pp6cnAgQOLrJbIyEj8/PyYOnUq//nPf1i3bh2jR4+mfPnyRXZOERERMRa3bco8PDwYMmSIw7KSJUuyYsUK6tWrx6RJkxg7diyBgYGsXLnS4XEYha1s2bK89tprpKamMnz4cJYvX87UqVOpXr16kZ1TREREjMVks9n0BlA3s/q1rXr3pYiIuL2ylYPo/8RdpKWdIzf35t6s4+lppnRp/wLte7sFB/vj4XH9cTC3vNC/uAsuV+r6G4mIiLg4/XvmSE2Zm7HZbHS4r5mzyxARESkUVosVq1WTdqCmzO2YTCYyM89jsbj2UG1BeHiYCQjwNWw+UEYjMHo+UEajcJeMVqtNTdn/p6bMDVksVpefP78VRs8HymgERs8HymgUxSGjUagpc0M3crGgO8rLZdR8oIxGYPR8oIyuRKNIxYuaMjdjs9kICPB1dhlFyuj5QBmNwOj5QBldgcViIT39vBqzYkJNmZsxmUy8t3AGp/886uxSRESkCJWtWJXeQyZgNpvUlBUTasrc0Ok/j5L8xy/OLkNEREQKkWtPpl9HYmIioaGh9q/mzZszYMAA9uzZc1PHiIqKKsIqRURERK7P7UfKfHx8WL58OQDJycnMnz+fQYMGsX79eurWrXvd/fv160dsbGxRlykiIiLyt9y+KTObzURGRto/R0REEBcXx7vvvsvkyZOvu3+FChWoUKFCEVYoIiIicn1uPX15NZUqVSI4OJhjx45htVqZP38+cXFxNGzYkE6dOvHuu+86bH/l9OWlS5d4+eWXadu2LQ0bNqRVq1YMGzaMrKws+zbHjx/n8ccfJzo6msjISAYPHsxPP/3kcNy4uDief/55Vq1aRbt27YiOjmb48OGkpqYW7TdARERE3JLbj5Rd6ezZs6Snp1OuXDlmzpzJW2+9xWOPPUZUVBQ7duxgypQp5Obm8uCDD151/wULFvDuu+8yduxY6tSpQ1paGp9//jkXL160Hz8+Ph6z2czUqVMpUaIEr7/+Og8++CAbN26kYsWK9mNt376d33//ncmTJ5OWlsb06dN54YUXmD179m35XoiIiIj7MERTlpubC1y+puzll1/GYrEQExPD+PHjGTx4MCNHjgSgVatWpKWlMW/ePO677z48PDzyHevbb7+lVatWPPDAA/ZlHTt2tP95/fr1nDhxgk2bNlGrVi0AmjZtSrt27Vi+fDkTJkywb2uz2Xj99dfx9vYGLo+wLViwAKvVitlsuEFKERERuQVu3xlkZ2cTFhZGWFgY7du3Z/fu3UyePBk/Pz8uXbpEp06dHLbv3LkzqampHDly5KrHa9CgATt37iQxMZEDBw5gtTq+mmLPnj3UqVPH3pABBAUFERMTw9dff+2wbdOmTe0NGUCtWrW4dOkSZ86cucXUIiIiYjRuP1Lm4+PDypUrMZlMlC5dmooVK2I2m3n//fcBKFu2rMP2eZ/T09OverzHHnsMs9nMe++9R1JSEsHBwTzwwAOMGDHi/78MPDPfMQHKlCnDoUOHHJYFBAQ4fM5r0HJycgqUVURERIzL7Zsys9lMeHh4vuVBQUEAnDlzhvLly9uXnz592mH9lby9vRk5ciQjR47k999/Z926dSQmJlKlShV69epFYGAgv/32W779zpw5Q2Bg4K0HEhERkWLJ7acvryU8PBwvLy82b97ssPzjjz+mTJky3HHHHdc9RvXq1Rk9ejRBQUH8+uuvAERHR/Pzzz/bPwNkZGTwxRdfEB0dXagZREREpPhw+5GyawkODubBBx9k8eLFeHt7ExkZyc6dO/nwww+ZNGnSVS/yBxg+fDhhYWE0aNAAX19fPv30UzIyMmjevDkAffr0YdmyZQwdOpQnn3zSfvelp6cnAwcOvJ0RRURExEAM25QBjB8/nlKlSrF27VreeOMNKleuzNSpU7n33nuvuU/jxo35+OOPWbp0KRaLhRo1avDPf/6TmJgYAEqWLMmKFSuYMWMGkyZNwmq10rhxY1auXOnwOAwRERGRm2Gy2Wx69bybWTR1hF5ILiJicBWq1ebRKfNISztHbq71+jtcwdPTTOnS/gXe39W5U77gYH88PK5/xZihR8qMqmzFqs4uQUREipj+ri9+1JS5GZvNRu8hE66/oYiIuD2LxYLVqgmt4kJNmZu5/Ky081gsrj1UWxAeHmYCAnwNmw+U0QiMng+U0ZVYrTY1ZcWImjI3ZLFYXX7+/FYYPR8ooxEYPR8oo8jtpqbMDd3IxYLuKC+XUfOBMhqB0fNB8choMpmcXYJIPmrK3IzNZiMgwNfZZRQpo+cDZTQCo+cDY2e88r3GIq5ATZmbMZlM/P7hd+ScOefsUkRE3FKJMv5U79bQ2WWI5OPSTVliYiJJSUlXXTdmzBiGDBlCaGgo48ePZ/DgwYV67vXr1+Pl5UX37t1vePuJEyeya9cugoODC7WWK+WcOcf5U1lFeg4RERG5vVy6KQPw8fFh+fLl+ZYX9dPz33vvPfz8/G64KWvbti2rV68mICCgSOsSERERY3L5psxsNhMZGensMq7p8jNkrAQHBxf5CJmIiIgYlyFvrdmxYwf9+vUjIiKC5s2bM2XKFLKzsx22yczM5IUXXqBNmzY0bNiQuLg4Zs2aBUB8fDz//e9/2bFjB6GhoYSGhpKYmGhfN3ToUN577z06duxIeHg4P/74I+vXryc0NJTU1FT7OS5evMjs2bNp3749DRs2pE2bNkyYoAe/ioiISH4uP1IGkJubm2+Zp+fVS9+8eTOjRo2iT58+jBw5kpSUFGbNmkVmZiazZ88GLjdLAwcO5Pjx44wYMYK6deuSnJzM119/DcCUKVMYN24cPj4+PPXUUwBUqFDBfo7vvvuO48eP88QTTxAQEEDFihU5dOhQvlpGjhzJl19+ydChQ4mMjCQ1NZVPPvnklr8fIiIiYjwu35RlZ2cTFhaWb/mqVato0qSJwzKbzcbMmTPp0qULL774on15SEgIQ4YMYfjw4dSpU4cNGzZw8OBB3n33XaKiouzb9e7dG4DatWtTsmRJ/Pz8rjp1mpGRwdq1a//2urbPP/+cHTt2MGvWLLp162Zf/tc/i4iIiORx+abMx8eHlStX5ltes2bNfMt+++03jh8/ztNPP+0wunbnnXdiNpv57rvvqFOnDrt27aJWrVoODdnNqFu37nVvNNi1axe+vr507dq1QOcQERGR4sXlmzKz2Ux4ePgNbZuWlgbAiBEjrrr+zz//BCA9PZ1y5coVuKayZcted5v09HRCQkL01GgRERG5IS7flN2MoKAgACZPnkxERES+9XmNWFBQED/99FOBz3MjjVZQUBApKSnYbDY1ZiIiInJdhrr7smbNmlSoUIGjR48SHh6e76t8+fIAxMTEcPjwYb755ptrHsvLy4ucnJwC1xITE8P58+f5+OOPC3wMERERKT5cfqTMarWyf//+fMvLlClD1apVHZaZTCYmTJjA2LFjyc7Opm3btvj6+nLixAl27tzJqFGjqFGjBj179uTtt99myJAhJCQkUKdOHU6ePMmePXt44YUXgMsN3oYNG9i+fTshISGUK1fO3tTdiJiYGGJjY3n66af5448/aNSoEenp6WzZsoU5c+bcyrdEREREDMjlm7ILFy7Qv3//fMv79u3rcIdlns6dOxMQEMAbb7zBBx98AEDlypVp3bq1/Vowb29vli1bxuzZs1mwYAHp6elUqFDB4aL8Rx99lD/++IOnnnqKzMxMEhISGDly5E3VnveaqNWrV5OUlESZMmVo2bLlTR1DREREigeTzWazObsIuTk/L9+td1+KiBSQb7lS1B3YDIC0tHPk5lqdXFHR8PQ0U7q0v2EzulO+4GB/PDyuf8WYy4+USX4lyvg7uwQREbelv0PFVakpczM2m43q3Ro6uwwREbdmtVoxmw11r5sYgJoyN2MymcjMPI/F4tpDtQXh4WEmIMDXsPlAGY3A6PmgeGQ0mUwEBfk5uwwRB2rK3JDFYnX5+fNbYfR8oIxGYPR8YOyMnp4aJRPXo6bMDd3IxYLuKC+XUfOBMhqB0fOBMhpFUWW0Wm1YrbpHsCjo7ks3ozcEiIiIM1ksVtLTs53emOnuS3E6k8nE6tWrSUlJcXYpIiJSzISEhNC/f3/MZpPTmzIjUlPmhlJSUjhx4oSzyxAREZFC5DZN2c6dO1m5ciXffvstWVlZBAYG0rBhQ3r06EGXLl3c4tbmF198kW3btrF9+3ZnlyIiIiIuxi2asldffZUFCxbQoUMHJk+eTEhICKdPn2br1q2MGzeOwMBAWrdu7ewyRURERArM5ZuyHTt2sGDBgqu+e7Jz584MHDgQT8+rx7BYLFitVry8vG5HqSIiIiIF5vJzfkuXLiUkJITHHnvsqusjIiJo0KABAPHx8QwdOpT33nuPjh07Eh4ezo8//gjAu+++S8eOHWnYsCFxcXHMnz8fq/V/d2skJiYSFRWV7/hNmjQhMTHR/jnvHJs3b6Zjx45ERUUxYMAA/vjjD4f9Tp48ybBhw2jUqBGtW7dm0aJFt/y9EBEREeNy6ZGy3Nxc9u7dS8eOHa85Gnal7777juPHj/PEE08QEBBAxYoVWbFiBdOmTSM+Pp62bduyb98+kpKSyMrK4qmnnrrpun744QdSU1MZO3YsFouFGTNmMG7cOFavXm3fZvjw4Zw8eZLnnnuOUqVKsWjRIv78888bziEiIiLFi0t3COnp6Vy8eJGKFSs6LLfZbFgsFvtns9lsv9A/IyODtWvX2vexWCzMmzePrl278uyzzwLQqlUrLl26xJIlSxgyZAilS5e+qbqysrLYsGEDwcHBAGRnZzNx4kSSk5OpUKEC//73v/nuu+9YtmwZLVq0AKBZs2bExsYSFBRUoO+FiIiIGJvLT18C+R6WumXLFsLCwuxf06ZNs6+rW7euQxP366+/kpaWRqdOnRyO0aVLFy5dusSBAwduup569erZGzKA2rVrA5CcnAzAgQMHKFWqlL0hAyhVqhQxMTE3fS4REREpHly6KQsKCsLb29ve7ORp0aIFa9euZe3atYSEhDisK1u2rMPnjIwMAMqUKeOwPO9z3vqbERAQ4PA570aCnJwcAE6dOuXQtF15ThEREZErufT0paenJ40bN2bXrl1YLBY8PDwACAwMJDw8HABvb2+Hfa4cVcubLkxNTXVYfubMGfuxAEqUKMGlS5cctrl06RLZ2dk3XXe5cuXyne+v5xQRERG5kkuPlAE89NBDnDp1ijfeeKNA+9eoUYPg4GA2b97ssPzjjz/Gy8uLiIgIAMqXL8+lS5cc7qL88ssvHa5du1Hh4eFkZWWxa9cu+7KsrCy++OKLAmUQERER43PpkTKAtm3bMmTIEObOncuPP/5I586dKVeuHFlZWezZs4eUlBT8/f2vub+HhwfDhw9n2rRpBAcHExsby/79+1m0aBEDBw60X+Tfpk0b/Pz8ePbZZ3n00UdJTk7mrbfeokSJEjddc5s2bQgLC2PcuHGMHTuWUqVKsXDhQkqWLFng74OIiIgYm8s3ZQBjxowhOjqaVatWMXXqVM6ePUtgYCBhYWG89NJLdO3a9W/3j4+Px9PTk2XLlvHOO+8QEhJCQkICw4YNs29TunRp5s6dy8svv8yIESOoX78+M2fOJD4+/qbrNZlMzJ8/nylTpjB58mQCAgKIj4/n9OnTbNu27aaPJyIiIsZnstlses27m0lKStILyUVE5LarVKkSCQkJpKWdIzfXev0dipCnp5nSpf1dopbrCQ72x8Pj+leMucVImTi68o5TERGR20H//hQtjZS5GZvNlu8OUxERkdvFYrGSnp6N1erc9kEjZeJ0JpOJzMzzWCyu/QtYEB4eZgICfA2bD5TRCIyeD5TRKIoqo9Vqc3pDZlRqytyQxWJ1+f8ruBVGzwfKaARGzwfKaBTFIaNRqClzQzcyBOqO8nIZNR8ooxEYPR8oo1EUdUaNmBU+XVPmZnRNmYiIuAKr1UpamvOuLdM1ZeJ0JpOJQ/ve4fzZU84uRUREiinfkuWoE3UfZrNJo2WF6JabslOnTpGamkq1atXw8/MrjJrkOs6fPUV25nFnlyEiIiKFqMATzVu3bqVTp07ExsbSu3dvvvnmG+Dyi7979erF1q1bC63IwpSYmEhoaGi+r27dut3Q/nFxcTz//PNFXKWIiIgUNwUaKdu+fTsjR44kMjKSbt26kZSUZF8XHBxM+fLlWbduHXfddVehFVqYfHx8WL58eb5lNyIpKYmAgICiKEtERESKsQI1ZfPmzaNJkyasWLGCtLQ0h6YMIDIyktWrVxdKgUXBbDYTGRlZoH0bNGjwt+ttNhuXLl3C29u7QMcXERGR4qlA05eHDh2ic+fO11xftmxZzpw5U+CinCE7O5vnn3+ejh070qhRI+Li4pg8eTJZWVkO2105fTlhwgS6devGzp076dGjB+Hh4Wzbto2WLVsye/bsfOd58skn6du3b5HnEREREfdSoKbM19eX8+fPX3P90aNHCQoKKmhNt0Vubq7D14ULF7BYLIwaNYpFixbxxBNP8NVXXzF8+PDrHuvUqVNMmzaNQYMGsWjRIho0aEDv3r3ZsGEDVuv/btNNT09n27ZtaspEREQknwJNXzZr1owNGzYwcODAfOtSUlL417/+Rbt27W65uKKSnZ1NWFiYw7KZM2cydepU++fc3FyqVKnC/fffz2+//UaNGjWuebyMjAwWLVpEo0aN7Mv69evHm2++yWeffUZsbCwAH3zwAWaz+YZvKhAREZHio0BN2ZNPPkn//v3p27cvnTp1wmQy8Z///Icvv/yS1atXY7PZGDFiRGHXWmh8fHxYuXKlw7KqVauyYcMGli1bxu+//052drZ93ZEjR/62KQsKCnJoyACqV6/OnXfeybp16+xN2fr16+nYsSMlS5YsxDQiIiJiBAWavqxZsyZvv/02QUFBvPbaa9hsNhYvXsyCBQuoW7cub7/9NlWqVCnsWguN2WwmPDzc4eurr77iqaeeIiIigjlz5vCvf/2LefPmAZCTk/O3xytbtuxVl99zzz1s376d1NRUfvzxRw4ePMg//vGPQs8jIiIi7q/AD4+tU6cOy5YtIyMjg99//x2bzUbVqlUJDg4uzPpum82bN1O/fn2Hi/j/+9//3tC+13rt0d13380LL7zAxo0bOXbsGNWqVePOO+8slHpFRETEWG75if6BgYFEREQURi1OdeHCBby8vByWffDBB7d0TG9vb3r27MmaNWs4ffo0gwYN0nsrRURE5KoK3JSlpqayaNEidu7cyfHjl1/5U7lyZWJjYxk8ePA1p/RcVUxMDM8//zzz5s0jKiqKnTt3smvXrls+7j333MPy5cvx8PCgT58+hVCpiIiIGFGBn1PWvXt3li5dSqlSpejUqROdOnWiVKlSLF26lB49evDzzz8Xdq1F6t577+Xhhx9m5cqVJCQk8OeffzJr1qxbPm7t2rW54447aNmyJeXLly+ESkVERMSITDab7aZf7x4fH8+hQ4dYuHBhvqnLAwcO8Oijj1K3bl1WrFhRaIW6qz/++IO7776b1157jY4dOxbKMQ/te4fzZ08VyrFERERulm/JctSJuo+0tHPk5lqvv0MR8PQ0U7q0v1NruFHBwf54eFx/HKxA05cHDhxg6NChV72WLCIiggEDBrBw4cKCHNow0tLS+O2335g3bx6VKlWiffv2hXJcm81Gnaj7CuVYIiIiBWW1WrFab3pcR/5GgZqyMmXKUKJEiWuuL1GiBGXKlClwUUbw6aef8vTTT1O9enVeeeUVPD1v+Z4K4PKdnpmZ57FYXPv/CgrCw8NMQICvYfOBMhqB0fOBMhpFUWe0Wm1qygpZgTqFAQMGsHLlSnr06EFISIjDupMnT/LOO+8wYMCAQinQXfXp06fILuy3WKwuP1R7K4yeD5TRCIyeD5TRKIpDRqMoUFNms9nw8/Pj7rvv5q677qJ69erA5Sffb9u2jWrVqmGz2Vi6dKl9H5PJxKBBgwqlaBERERGjKdCF/vXq1bv5E5lM/PDDDze9n+Rn1OF2TScYg9EzGj0fKKNRmEwmgoL83OJC+IIw4oX+BWrK8p5LdrMqV65coP3kf2w2mx5AKyIi12W12jCbTW7RtBSEEZuyAk1fqrlyHpPJxMc/Hic1+6KzSxERERcV7OdN53r6t9rdFKgpe+SRR+jZsycdOnTAx8en0IpJTEwkKSkp3/I6depw6NAhxo8fz+DBg2/qmKGhodfd74cffmDr1q088sgj+Pr62pevX7+eiRMnsmvXLpd6p2dq9kVOnb3g7DJERESkEBWoKTt69Cjjxo3Dz8+PDh060LNnT1q0aFEo02o+Pj4sX74837ILFy5QqVKlWz7+1fzwww8kJSXxwAMPODRlbdu2ZfXq1QQEBBTJeUVERETyFKgp27JlCwcOHGDjxo1s3ryZjRs3UrZsWbp160aPHj2oX79+gQsym81ERkYWeP/CFBwc7FIjZCIiImJcBXr3JVx+cv+zzz7Lv//9bxYuXEjz5s1ZvXo1ffr0oVu3bixatIjk5ORCKzQ0NJTFixfbP9tsNpKSkmjZsiVRUVE8/vjjfPHFF4SGhrJ7926Hfa1WK4mJicTExNCsWTMmTpxIdnY28L8pSoAWLVoQGhpKXFycfV1oaCipqakAHDt2jNDQUN5//32ef/55mjZtSqtWrXj55ZfJzc11OOf//d//0bFjR8LDw7nnnnv4/vvvadKkCYmJiYX2PRERERHjKHBTZj+A2Uzr1q155ZVX2LFjBx07duSXX35h1qxZxMXFMWjQIHbs2HFTx8zNzXX4utoNoitWrCApKYnevXuTmJhItWrVePbZZ696vFWrVnHkyBFmzJjBiBEj+OCDD5g/fz5weYryscceA+DNN99k9erVV72u7a/mzJmD2Wxmzpw53HvvvSxZsoQ1a9bY1x88eJAnnniC2rVrk5SURK9evRg1ahQXL+rifBEREbm6Qnn3z549e9i4cSNbtmwhIyODOnXq0KtXLzw9PVm3bh2PPfYYw4YN44knnrjusbKzswkLC3NYNnPmTIfPFouFhQsX0qdPH8aOHQtAq1atSEtLY+3atfmOGRISwqxZswBo06YNBw8eZMuWLYwdO5bg4GCqVasGQFhY2A1NV+aNEgK0bNmS3bt3s2XLFu677/I7KRcsWECVKlVITEzEbL7c9/r7+zN+/PjrHltERESKpwI3Zb/88gsbN27kww8/5M8//6RMmTL07t2bnj17OlxTNnDgQCZNmsTbb799Q02Zj48PK1eudFhWtWpVh8/JycmkpKTYpxnztG/f/qpNWUxMjMPnWrVqsWnTpuvWci2tWrXKd7wvv/zS/vnbb7/lrrvusjdkebWJiIiIXEuBmrKePXvy888/4+3tTfv27ZkyZQqtW7d2aEL+qlmzZg7Te3/HbDYTHh7+t9ukpKQA5BvVutZL0K+8e9LLy+uWphJLlSr1t8dLSUnJV1vJkiX/9iXuIiIiUrwVqCnLysri6aefpnfv3pQsWTLf+gsXLpCammp/hEX79u3Ztm3brVX6F3kvQc+7AD/PmTNnCu0ctyIkJCRfbWfPniUnJ8dJFYmIiIirK9CF/idOnCAoKOiqDRnA9u3bHabrfH19C/UtABUqVCAkJCRfo7d169YCHc/Lywug0C7EDw8PZ8eOHVit/3vtQ0FrExERkeKhUC70v9KlS5euOZVZGDw8PBgyZAgvvfQSZcuWpVmzZuzevZtdu3YB3PS5a9WqBVy+S/Ouu+7Cx8eH0NDQAtc3dOhQ+vbty8iRI7nnnns4ceIES5YsoUSJEnpvpYiIiFzVDTdlZ8+eJTMz0/45PT2dEydO5NsuMzOTjz76yD7FWFTi4+PJzMzk7bffZsWKFbRo0YJx48YxatSofNd8XU+DBg0YOXIka9as4c0336RixYps3769wLU1aNCAOXPmMGvWLBISEqhTpw4zZsxgwIABN12biIiIFA8m29UeAnYVSUlJzJs374YOarPZePLJJxk2bNgtFXez5syZw9KlS9m9e3ehvpOzMOzatYtBgwaxYsUK7rzzzls61qq9v+ndlyIick3lSvrwQOMaAKSlnSM313qdPdyPp6eZ0qX93SJfcLA/Hh7Xn8W74ZGyli1b4ufnh81m45VXXqFr1675nidmMpnw9fUlLCzsundQ3qrDhw+zceNGoqKi8PLy4r///S+LFy/mvvvuc4mG7LnnnqNFixYEBQXxyy+/MH/+fBo0aECTJk1u+djBft6FUKGIiBiV/p1wTzfclEVFRREVFQXA+fPnufvuu6lbt26RFXY9Pj4+7Nu3j3feeYdz585Rvnx5Bg8ezMiRI51W019lZmbywgsvkJ6eTsmSJWndujVPPfXULV9rZ7PZ6Fyv8G6aEBERY7JabZjNuo7Zndzw9KW4jszM81gsrj1UWxAeHmYCAnwNmw+U0QiMng+U0ShMJhNBQX5uMb1XEMV6+lJch8VidflfwFth9HygjEZg9HygjO7O07PonoIgRUNNmRu6kW7bHeXlMmo+UEYjMHo+UEajuDKj1WrDatXkmCvT9KWbsdlsetaZiIjcNIvFSnp6tmEaM01fitOZTCbmrT3I8ZRsZ5ciIiJuonKIHyP6NsBsNhmmKTMiNWVu6HhKNkf+POvsMkRERKQQufRkemJiIqGhofav5s2bM2DAAPbs2XPbajh27BihoaFs3rz5b7dLTEy0PzJERERE5Ga5/EiZj48Py5cvByA5OZn58+czaNAg1q9f79TnpF2pX79+xMbGOrsMERERcVMu35SZzWYiIyPtnyMiIoiLi+Pdd99l8uTJzivsChUqVKBChQrOLkNERETclEtPX15NpUqVCA4O5tixYxw6dIhHH32UZs2a0ahRIzp27MiiRYsA2L59O6GhoRw5csRh/4yMDCIiIli1apV92b59+3j44Ydp3LgxUVFR9OvXj88//9xhv5ycHJ5//nmaNm1Kq1atePnll8nNzbWvv9r0Zd5T/du0aUPDhg2Ji4tj1qxZhfwdERERESNw+ZGyK509e5b09HTKlSvHsGHDKFu2LC+++CIlS5bkjz/+IDk5GYDY2FjKly/PunXrGDNmjH3/Dz/8EIDu3bsD8PXXXzNw4EAiIyOZNm0aAQEBfPfdd5w4ccLhvHPmzKF9+/bMmTOHffv2kZiYSLVq1bjvvvuuWufFixcZOHAgx48fZ8SIEdStW5fk5GS+/vrrovi2iIiIiJtzi6Ysb0QqOTmZl19+GYvFQkxMDGvWrOGZZ54hLi4OgObNm9v38fDwoE+fPqxbt44nn3wSDw8PANatW0eHDh0ICAgA4JVXXqF69eosX77cvk2rVq3y1RAREcGzzz4LXH45++7du9myZcs1m7INGzZw8OBB3n33XYcRtN69e9/qt0NEREQMyOWnL7OzswkLCyMsLIz27duze/duJk+eTOfOnalcuTKvvvoq7733nn2E7K/69u1LSkoKn332GQA//vgj33//PX379gUuv1j9m2++oVevXvaG7FqubNRq1ap11XPm2bVrF7Vq1dIdmSIiInJDXH6kzMfHh5UrV2IymShdujQVK1bEbL7cSy5evJjZs2fz/PPP25u3iRMn0rRpUwCqVKlCy5YtWbt2LW3btmXdunVUqVLFPqKWmZmJ1WqlXLly162jVKlSDp+9vLy4ePHiNbfPm2IVERERuREuP1JmNpsJDw+nYcOGVK5c2d6QAdSoUYO5c+fy3//+lxUrVuDt7c2wYcM4d+6cfZt+/fqxY8cOTp48yQcffECfPn3srykqVaoUZrOZU6dOFXrdQUFBRXJcERERMSaXb8puhJeXF3feeSdDhgzh7NmzDs1Q+/btCQgIYMyYMWRkZNCnTx/7Oj8/PyIjI3n//fexWCyFWlNMTAyHDx/mm2++KdTjioiIiDG5bVP2448/8tBDD7FmzRq+/PJLtm7dyuuvv07lypWpVq2afTsvLy969erFV199RUxMDBUrVnQ4zpgxYzhy5AiDBg3i448/5osvvmDRokWsXbv2lurr2bMnDRo0YMiQIaxYsYIvv/yS999/n0mTJt3ScUVERMSYXP6asmsJCQmhbNmyLFiwgJMnT1KqVCmaNGnCK6+8ku+i/Q4dOrB48WL+8Y9/5DtOkyZNeOutt5gzZw4TJ07EbDZTp04dnnzyyVuqz9vbm2XLljF79mwWLFhAeno6FSpUoGvXrrd0XBERETEmk81mM/zr4l977TXefvttPvvsM7y9vZ1dzi2bt/Ygx1OynV2GiIi4icohfozo24C0tHPk5lqdXU6h8PQ0U7q0v1tkCg72x8Pj+pOTbjtSdiN+/fVXfvvtN1auXMn9999viIbMZrMxom8DZ5chIiJuxmKxYrUafhzGrRm6KZsyZQr79++ndevWDB061NnlFAqTyURm5nksFtf+v4KC8PAwExDga9h8oIxGYPR8oIxGcWVGq9WmpszFGbopW7FihbNLKBIWi9Xlh2pvhdHzgTIagdHzgTIaRXHIaBRue/eliIiIiJEYeqTMqG7kYkF3lJfLqPlAGY3A6PlAGYuaphHlWtSUuRmbzUZAgK+zyyhSRs8HymgERs8HylhUrFYLaWnn1ZhJPmrK3IzJZOLPTQu4eOaEs0sREZGb5F2mEhW7DsVsNqkpk3yKVVOWmJhIUlKS/XNQUBA1a9Zk2LBhxMbGFuq54uPj8fPzY8GCBYV6XICLZ06Qc+r3Qj+uiIiIOI9xLxi4Bh8fH1avXs3q1at54YUXyMnJYdiwYezdu9fZpYmIiEgxVqxGygDMZjORkZH2z40aNSI2NpYNGzbQuHFj5xUmIiIixVqxGym7Uvny5QkODubEif9do/XJJ5/Qs2dPwsPDadWqFdOnTycnJ8dhv8zMTF544QXatGlDw4YNiYuLY9asWdc8z4ULFxgyZAjt27fn6NGjRZZHRERE3FOxGym70rlz58jIyKBKlSoAbNu2jccff5yuXbsyZswYfv31V2bPns2ff/7J3LlzAbh48SIDBw7k+PHjjBgxgrp165KcnMzXX399zXMMGzaMlJQU3n77bcqXL3/b8omIiIh7KJZNWW5uLgCnTp3ilVdewd/fnwEDBgCQlJREZGSkfdSrTZs2+Pr6MnnyZH766SdCQ0PZsGEDBw8e5N133yUqKsp+3N69e+c7V0ZGBo8++ig5OTmsWrWKMmXK3IaEIiIi4m6K3fRldnY2YWFhhIWF0a5dO7Zs2cLMmTOpWbMm586d44cffqBjx44O+3Tp0gXAPhK2a9cuatWq5dCQXU1aWpq92XvrrbfUkImIiMg1FbuRMh8fH1auXInNZuPIkSPMmjWLp556ig8++ACr1YrNZsvXPJUqVQpvb28yMjIASE9Pp1y5ctc915EjR8jIyODpp58mMDCwSPKIiIiIMRS7psxsNhMeHg5AREQENWrU4J577mHevHmMHz8ek8lEamqqwz5ZWVlcvHjR3lgFBQXx008/XfdcUVFRtGjRghkzZhAUFETPnj0LP5CIiIgYQrGbvrxSeHg4Xbt2Zf369WRnZ1O/fn02b97ssM3HH38MQHR0NAAxMTEcPnyYb7755rrHHzRoEE8++SQTJ07Md1wRERGRPMW+KQMYPnw4FouF5cuXk5CQwP79+xk7diz//ve/Wb58OS+99BIdO3YkNDQUgJ49e9KgQQOGDBnCihUr+PLLL3n//feZNGnSVY8/dOhQhg4dytixY/n0009vZzQRERFxE8Vu+vJqatasSZcuXXjnnXcYOnQor732GvPmzWP48OEEBQVxzz33MGbMGPv23t7eLFu2jNmzZ7NgwQLS09OpUKECXbt2veY5nnjiCS5cuMDjjz/OggULiImJuR3RRERExE2YbDab3ojqZn5/a4refSki4oZKlKtO9QFTSUs7R26utUjP5elppnRp/9tyLmdwp3zBwf54eFx/clIjZW7Iu0wlZ5cgIiIFoL+/5e+oKXMzNpuNil2HOrsMEREpIKvVgtWqSSrJT02ZmzGZTGRmnsdice2h2oLw8DATEOBr2HygjEZg9HygjEXNarWpKZOrUlPmhiwWq8vPn98Ko+cDZTQCo+cDZRS53dSUuaEbuVjQHeXlMmo+UEYjMHo+UMbCpFExuRlqytyMzWYjIMDX2WUUKaPnA2U0AqPnA2UsDBarlfS0bDVmckPUlLkZk8nEOwdXcir7pLNLERGRv1HOrzz3NXgQs9mkpkxuiJoyN3Qq+yTHzx53dhkiIiJSiAzZlO3cuZOVK1fy7bffkpWVRWBgIA0bNqRHjx506dIFs9lMfHw8fn5+LFiwoMjrWb9+PV5eXnTv3r3IzyUiIiLuyXBN2auvvsqCBQvo0KEDkydPJiQkhNOnT7N161bGjRtHYGAgrVu3vq01vffee/j5+akpExERkWsyVFO2Y8cOFixYQEJCAiNHjnRY17lzZwYOHIinp6Eii4iIiEEY6n7npUuXEhISwmOPPXbV9RERETRo0MBh2ebNm+nYsSNRUVEMGDCAP/74w2F9eno6EydOpFmzZkRERHDvvffy1VdfOWzz9ddf88ADDxAdHU1UVBTdu3fnvffeAyA+Pp7//ve/7Nixg9DQUEJDQ0lMTCzE1CIiImIEhhk2ys3NZe/evXTs2PGGR8N++OEHUlNTGTt2LBaLhRkzZjBu3DhWr14NgMVi4dFHH+Xo0aOMHTuWsmXLsmLFCh566CHeffddGjZsyNmzZxk6dCjR0dG8+uqreHt788svv5CZmQnAlClTGDduHD4+Pjz11FMAVKhQoWi+CSIiIuK2DNOUpaenc/HiRSpWrOiw3GazYbFY7J/NZjNm8+UBwqysLDZs2EBwcDAA2dnZTJw4keTkZCpUqMCOHTs4cOAAb775pv06tFatWnH33XezYMECEhMT+e2338jKymL06NGEhoYC0KJFC/v5ateuTcmSJfHz8yMyMrIovwUiIiLixgw1fQmXn+P1V1u2bCEsLMz+NW3aNPu6evXq2RsyuNxAASQnJwOwZ88eSpYs6XBjgJeXFx06dODrr78GoFq1apQsWZLnnnuOjz76iNTU1CLLJiIiIsZlmKYsKCgIb29ve0OVp0WLFqxdu5a1a9cSEhLisC4gIMDhs5eXFwA5OTkAZGZmUqZMmXznKlu2LBkZGQAEBgaydOlS/P39GT9+PC1btiQ+Pp6ffvqp0LKJiIiI8RmmKfP09KRx48bs2rXLYboyMDCQ8PBwwsPD8fb2vqljBgYGcubMmXzLT58+TWBgoP1zREQEb775Jnv27OGNN97gzJkzjBgxouBhREREpNgxTFMG8NBDD3Hq1CneeOONQjledHQ0Z8+e5T//+Y99WW5uLlu3biU6Ojrf9j4+PsTGxnLfffdx7Ngx+4ibl5eX/c8iIiIiV2OYC/0B2rZty5AhQ5g7dy4//vgjnTt3ply5cmRlZbFnzx5SUlLw9/e/qeNFREQwbtw4xowZY7/78tSpU8ydOxe4/Gy0tWvXctddd1GpUiVOnz7NypUrady4MSVKlACgZs2abNiwge3btxMSEkK5cuUoX758kXwPRERExD0ZqikDGDNmDNHR0axatYqpU6dy9uxZAgMDCQsL46WXXqJr1643fCwPDw8WLlzIzJkzeeWVV8jOziYsLIwlS5bQsGFD4PKF/mazmTlz5nDmzBmCgoJo1aoVo0ePth/n0Ucf5Y8//uCpp54iMzPzqg+3FRERkeLNZLPZ9Op6N/Panll6IbmIiIurXLIyTzQZQ1raOXJzrbf9/J6eZkqX9nfa+YuaO+ULDvbHw+P6V4wZbqSsOCjnp6lPERFXp7+r5WapKXMzNpuN+xo86OwyRETkBlisVqxWTUjJjVFT5mZMJhOZmeexWFx7qLYgPDzMBAT4GjYfKKMRGD0fKGNhslptasrkhqkpc0MWi9Xl589vhdHzgTIagdHzgTKK3G5qytzQjVws6I7ychk1HyijERg9HyijUdxsRo3qOZ/uvnQzNpst3/s9RUREbpXVYiEt/bzbNGa6+1KczmQyceittzh/8qSzSxEREYPwLV+eOgMGYDab3KYpMyI1ZTcgMTGRJUuWsG/fPmeXAsD5kyfJPnbM2WWIiIhIITLuZLqIiIiIG1FTJiIiIuIC1JQVwMWLF5k9ezbt27enYcOGtGnThgkTJjhss2/fPgYMGEBkZCTR0dGMGTOGM2fOOKliERERcXW6pqwARo4cyZdffsnQoUOJjIwkNTWVTz75xL5+3759xMfHExsby+zZszl//jxz5sxh+PDhrF692omVi4iIiKtSU3aTPv/8c3bs2MGsWbPo1q2bfflf/zxr1iwaNmxIUlKS/fEVdevWpVu3buzcuZPY2NjbXreIiIi4Nk1f3qRdu3bh6+tL165dr7r+/Pnz7N27l06dOmGxWMjNzSU3N5c77riDihUr8u23397mikVERMQdaKTsJqWnpxMSEnLNB7hmZmZisViYPn0606dPz7f+zz//LOoSRURExA2pKbtJQUFBpKSkXPPJ+qVKlcJkMjF06FDuuuuufOtLly59O8oUERERN6Om7CbFxMSwaNEiPv74Y7p06ZJvvZ+fH5GRkfz666+Eh4c7oUIRERFxR2rKblJMTAyxsbE8/fTT/PHHHzRq1Ij09HS2bNnCnDlzABg/fjwDBw7kySefpGvXrgQEBJCcnMwXX3xBnz59aNasmXNDiIiIiMtRU1YAiYmJJCUlsXr1apKSkihTpgwtW7a0r2/cuDFvv/02iYmJTJw4kUuXLlGhQgWaN29O9erVnVi5iIiIuCqTzWbTm0fdzIFXXtG7L0VEpND4ValCxLhxpKWdIzfX6uxyboinp5nSpf3doubgYH88PK7/wAuNlLkh3/LlnV2CiIgYiP5dcQ0aKXMz17rrU0RE5FZYLRbS0s9jtbpHW6CRMnE6k8lEZuZ5LBbX/gUsCA8PMwEBvobNB8poBEbPB8poFDeb0Wq1uU1DZlRqytyQxWJ1+f8ruBVGzwfKaARGzwfKaBTFIaNRqClzQzcyBOqO8nIZNR8ooxEYPR8oo1EYPWNh53OFkUJdU+ZmdE2ZiIhI4bNarKSlZxdJY6ZrygzKZDLxf+/sJvVUlrNLERERMYTgcqXocF8zzGaTU0fL1JS5odRTWZw+nu7sMkRERKQQuXxTlvf0fLg8SuTv70+lSpVo2rQpDzzwALVq1XJyhSIiIiK3zuWbMgAfHx+WL18OwLlz5/j5559ZvXo1//rXv3jxxRfp2bOnkysUERERuTVu0ZSZzWYiIyPtn1u2bMn999/PkCFDeOaZZ2jcuDFVq1bNt9/Fixfx9PTEbDbmnSciIiJiHG7brZQoUYJJkyZx6dIl1qxZA0BcXBzPP/88ixYtol27dkRERJCens7hw4cZNWoUsbGxNGrUiC5durBkyRKsVsfntiQnJzN06FAaNWpEbGwsy5Yt48UXXyQuLs5hu59++onBgwcTGRlJdHQ0jz/+OCdOnHDYJjQ0lEWLFpGYmEhMTAzNmjVj4sSJZGdnF+03RkRERNySW4yUXUvt2rUpX748+/btsy/75JNPqF69Os888wxmsxk/Pz9++uknatSoQffu3fH39+eHH34gMTGR7OxsEhISgMuPmhg+fDinT59m6tSplCpVisWLF3PixAmHkbY///yTBx98kKpVq/LKK6+Qk5PD7NmzefDBB9m4cSMlS5a0b7tq1Sqio6OZMWMGR44cYebMmZQpU4axY8fevm+SiIiIuAW3bsoAKlasyOnTp+2fL126xKJFi/Dz87Mva9GiBS1atAAuN1/R0dFcuHCBlStX2puyf//733z//fesWrWKJk2aANC8eXNiY2MJCAiwH2vZsmXk5uayZMkSgoKCAKhfvz5du3blvffeIz4+3r5tSEgIs2bNAqBNmzYcPHiQLVu2qCkTERGRfNx2+jLPlQ9TbdasmUNDBpCTk8PcuXPp0KED4eHhhIWFMXv2bFJSUjh37hwA3377LQEBAfaGDMDf39/ezOXZs2cPzZo1szdkALVq1aJevXp8/fXXDtvGxMQ4fK5VqxbJycm3lFdERESMye1HypKTk7njjjvsn8uUKZNvm1deeYU1a9YwYsQIGjZsSKlSpdi2bRuvv/46OTk5+Pv7c+rUKYKDg/Pte+WyzMxM6tevn2+7MmXKkJGR4bDsryNsAF5eXly8ePFm4omIiEgx4dYjZYcOHeLkyZNERUXZl13tFUSbN2+mf//+DBkyhJiYGMLDw/H0dOxHy5UrR2pqar59r1wWGBjImTNn8m135swZAgMDCxpFREREijm3bcpycnJ44YUX8Pb2pl+/ftfd1svLy/7ZYrGwadMmh23Cw8PJzMzkq6++si87d+4cu3btctguOjqaL7/80mFU7Ndff+Wnn34iOjr6ViKJiIhIMeYW05dWq5X9+/cDkJ2dbX947NGjR5kxYwZVqlT52/1jYmJYs2YNtWvXpnTp0rz99tv5phHbtGlDWFgYY8aMYfTo0QQEBPDmm2/i7+/vMPo2aNAg1q9fz8MPP8xjjz1GTk4Oc+bMoWLFivTu3bvQs4uIiEjx4BZN2YULF+jfvz8Afn5+VKlShRYtWpCUlHRDr1maNGkSU6ZM4YUXXsDX15fevXvToUMHnn32Wfs2JpOJ+fPnM3nyZCZPnkxAQAADBgzgt99+44cffrBvV7FiRVasWMHMmTMZO3YsZrOZli1bMmHCBIfHYYiIiIjcDJPNZnPe69Bd3MWLF+natStNmjRh+vTpzi7HbvVrW/VCchERkUJStnIQ/Z+4i7S0c+TmWq+/w00KDvbHw+P6V4y5xUjZ7bJ69WqsVis1atQgMzOTd955h+PHj/Pqq686uzQHweVKObsEERERw3CVf1fVlP1FiRIlWLhwIcePHwegXr16LFiwgPDwcCdX9j82m40O9zVzdhkiIiKGYrVYsVqdO3mo6Us3lJl5Houl8IdXnc3Dw0xAgK9h84EyGoHR84EyGoXRMxZ2PqvVVmRNmaYvDcxisRbJnLerMHo+UEYjMHo+UEajMHpGI+VTU+aGbqTbdkd5uYyaD5TRCIyeD5TR2YpyxEZcm5oyN2Oz2QgI8HV2GUXK6PlAGY3A6PlAGZ3FYrGQnn5ejVkxpKbMzZhMJt5bOIPTfx51dikiIlLIylasSu8hEzCbTWrKiqFi15QlJiaSlJQEXG5w/P39qVSpEk2bNuWBBx64oYfR3ohjx47Rvn17XnvtNTp16lQox8xz+s+jJP/xS6EeU0RERJyr2DVlAD4+Pixfvhy4/H7LvNc2/etf/+LFF1+kZ8+eTq5QREREipti2ZSZzWYiIyPtn1u2bMn999/PkCFDeOaZZ2jcuDFVq1Yt8PEvXLhQCFWKiIhIceJ6t504SYkSJZg0aRKXLl1izZo1AGzYsIH77ruPO++8k6ZNmxIfH8+BAwcc9ktMTCQqKooDBw7Qv39/wsPDWbVq1VXP8f3339O8eXMmTpyI1WqM23dFRESkcBTLkbJrqV27NuXLl2ffvn3A5evCevXqRbVq1bh48SKbNm3igQceYOPGjdSoUcO+36VLlxgzZgyDBg1i1KhRBAUF5Tv2119/zdChQ+nVqxfPPPMMJpPpdsUSERERN6Cm7AoVK1bk9OnTACQkJNiXW61WWrZsyYEDB3jvvfcYPXq0fd2lS5cYNWoUXbp0sS87duyY/c9ffPEFI0aMID4+3mE/ERERkTxqyq5gs9nso1iHDx/m1VdfZd++fZw5c8a+zZEjR/LtFxsbe9Xj7dixg02bNpGQkMDQoUOLpGYRERFxf2rKrpCcnMwdd9zB2bNnefjhhwkODmbChAlUqlSJEiVK8Oyzz5KTk+Owj6+vL/7+/lc93qeffoqvr6/DKJqIiIjIlXSh/18cOnSIkydPEhUVxf79+0lOTmb69On06NGDJk2aEB4eTlZWVr79/u76sAkTJlCrVi0GDRpEcnJyUZYvIiIibkxN2f+Xk5PDCy+8gLe3N/369bM/1sLLy8u+zd69ezl+/PhNHdfX15dFixYRFBTEwIED7deriYiIiPxVsZy+tFqt7N+/H4Ds7Gz7w2OPHj3KjBkzqFKlCj4+Pvj5+TF16lSGDBnCyZMnSUxMpHz58jd9vpIlS7JkyRIGDBjAQw89xFtvvUXp0qULOZWIiIi4s2I5UnbhwgX69+9P//79GTFiBOvWraNFixa8//77dOvWDYCyZcvy2muvkZqayvDhw1m+fDlTp06levXqBTpnYGAgS5cuxWKxMHjw4KtOg4qIiEjxZbLZbHrjqZtZNHWE3n0pImJAFarV5tEp80hLO0du7q09ZNzT00zp0v6FcixX5E75goP98fC4/jhYsZy+dHdlKxb8FVAiIuK69Pd78aamzM3YbDZ6D5ng7DJERKSIWCwWrFZNYhVHasrcjMlkIjPzPBaLaw/VFoSHh5mAAF/D5gNlNAKj5wNldDar1aamrJhSU+aGLBary8+f3wqj5wNlNAKj5wNlFLnd1JS5oRu5WNAd5eUyaj5QRiMwej5QxqKkUTD5O2rK3IzNZiMgwNfZZRQpo+cDZTQCo+cDZSwKVquVtLRsNWZyVWrK3IzJZOL3D78j58w5Z5ciIiI3oUQZf6p3a4jZbFJTJlelpswN5Zw5x/lTevisiIiIkRj3goG/2LhxI3379iU6OprGjRvTuXNnnnnmGc6cOWPfZtmyZezcubNI64iLi+P5558v0nOIiIiIezL8SNmiRYuYNWsWgwYN4vHHH8dms3Ho0CE++OADTp06RZkyZQB46623aNu2LbGxsU6uWERERIojwzdlK1asoHfv3kyY8L8HrsbGxvLII49gteo2aBEREXENhp++zMzMpFy5clddZzZfjh8XF8fx48dZtWoVoaGhhIaGsn79evt269evp3v37oSHh9O6dWtmz56NxWJxOFZycjJjx46lWbNmRERE8MADD/Ddd98VXTARERExFMOPlIWFhfHuu+9SpUoV2rZtS0hISL5tkpKSGDJkCI0bN+bhhx8GoFq1agAsXbqUV155hYEDBzJhwgQOHz5sb8rGjh0LQEZGBvfffz9+fn5MmjSJUqVKsWLFCgYOHMgnn3xinyIVERERuRbDN2VTpkwhISGBZ599FoAqVarQrl07Bg0aRJUqVQBo0KAB3t7elC1blsjISPu+Z8+eZe7cuTzyyCOMHj0agJYtW+Ll5cWMGTMYPHgwpUuXZvny5WRmZrJmzRp7A9aiRQs6duzI4sWLGT9+/O0NLSIiIm7H8NOXdevW5cMPP2ThwoUMGDDAPorVo0cPfvjhh7/dd9++fWRnZ9OpUydyc3PtXzExMVy4cIFDhw4B8Pnnn9OsWTMCAwPt25jNZpo2bcq33357O2KKiIiImzP8SBmAt7c3sbGx9jsrP/vsM4YOHcq8efNISkq65n5paWkA9O7d+6rr//zzT/t2+/fvJywsLN82edOgIiIiIn+nWDRlV2rdujX16tXj8OHDf7tdYGAgcPmaswoVKuRbnzf9GRgYSOvWrXniiSfybePt7V0IFYuIiIjRGb4pO336NGXLlnVYduHCBf78809q165tX+bl5UVOTo7DdlFRUfj6+pKcnEyHDh2ueY6YmBg2btxIrVq18PPzK9wAIiIiUiwYvinr3r077dq1o1WrVpQrV46TJ0+ycuVK0tLSGDhwoH27mjVr8uWXX/L5558TEBBAlSpVKF26NI8//jivvPIKycnJ3HnnnXh4eHD06FG2bdtGYmIivr6+DBo0iA8++IAHH3yQAQMGUKlSJVJTU/nmm28oX748gwYNct43QERERNyC4ZuyhIQEPv30U2bMmEFqaiqlS5cmNDSUZcuW0bx5c/t2o0eP5rnnnmPkyJGcO3eO6dOn06dPHx5++GHKly/P0qVLWblyJZ6enlSrVo22bdvi5eUFQOnSpVm9ejVz5szhn//8J+np6ZQpU4ZGjRr97QibiIiISB6TzWbTq+rdzM/Ld+uF5CIibsa3XCnqDmxGWto5cnOL/o0ynp5mSpf2v23nu93cKV9wsD8eHtd/4IXhR8qMqEQZf2eXICIiN0l/d8v1qClzMzabjerdGjq7DBERKQCr1YrVqgkquTo1ZW7GZDKRmXkei8W1h2oLwsPDTECAr2HzgTIagdHzgTIWJavVpqZMrklNmRuyWKwuP39+K4yeD5TRCIyeD5RR5HZTU+aGbuRiQXeUl8uo+UAZjcDo+UAZjeJqGTVS59p096WbsdlsmEwmZ5chIiJuyGKxkp6ebYjGTHdfitOZTCZWr15NSkqKs0sRERE3EhISQv/+/TGbTYZoyozIME1ZYmLiVV8uXqdOHT788EPi4uJo27YtkydPvuFjTpgwge+++44PP/ywMEu9ZSkpKZw4ccLZZYiIiEghMkxTBuDj48Py5cvzLSuo4cOHk52dfatliYiIiFyXoZoys9lMZGRkoR2vWrVqhXYsERERkb9j3NtO/sb27dsJDQ3lyJEjDsszMjKIiIhg1apVwOXpy27dutnXr1+/ntDQUA4ePMgjjzxCZGQkd999Nxs2bHA4js1mIykpiZYtWxIVFcXjjz/OF198QWhoKLt37y7qeCIiIuKGDNeU5ebmOnxd7ebS2NhYypcvz7p16xyW51071r179789x9ixY2nVqhXz5s2jfv36TJgwgcOHD9vXr1ixgqSkJHr37k1iYiLVqlXj2WefLYR0IiIiYlSGasqys7MJCwtz+Nq4cWO+7Tw8POjTpw8bNmzAYrHYl69bt44OHToQEBDwt+d54IEHGDRoEC1btmT69On4+PiwZcsWACwWCwsXLqRPnz725m3s2LG0aNGicMOKiIiIoRjqmjIfHx9WrlzpsKxq1apX3bZv37688cYbfPbZZ7Rt25Yff/yR77//nnHjxl33PK1atbL/2c/Pj0qVKpGcnAxAcnIyKSkpxMXFOezTvn171q5de7ORREREpJgwVFNmNpsJDw+/oW2rVKlCy5YtWbt2LW3btmXdunVUqVKF5s2bX3ffUqVKOXz28vLi4sWLAPbnhwUHBztsU6ZMmRuqS0RERIonQ01f3qx+/fqxY8cOTp48yQcffECfPn1u+Wn5ISEhAKSmpjosP3PmzC0dV0RERIytWDdl7du3JyAggDFjxpCRkUGfPn1u+ZgVKlQgJCSEbdu2OSzfunXrLR9bREREjMtQ05c3y8vLi169erF48WJatWpFxYoVb/mYHh4eDBkyhJdeeomyZcvSrFkzdu/eza5du4DLU6wiIiIiVyr2HUKHDh0A+Mc//lFox4yPjychIYF169aRkJDAL7/8Yr+B4Mrr0UREREQATLarPcirGHnttdd4++23+eyzz/D29i6y88yZM4elS5eye/fuW3r1E0BSUpLefSkiIjelUqVKJCQkkJZ2jtxcq7PLuWWenmZKl/Z3izzBwf54eFx/HKzYTl/++uuv/Pbbb6xcuZL777+/UBuyw4cPs3HjRqKiovDy8uK///0vixcv5r777rvlhgz+dzOBiIjIjdK/Ha6v2I6UxcfHs3//flq3bs0///lP/Pz8Cu3Yx48fZ+LEifz444+cO3eO8uXL0717d0aOHImn5631wTab7ZbvEBURkeLJYrGSnp6N1er+//QbcaSs2DZl7sxqtWLEn5rJdPlGCKPmA2U0AqPnA2U0iuKQ0cPDjMXi2g0ZgNlsuqEBFTVlIiIiIi6g2N99KSIiIuIK1JSJiIiIuAA1ZSIiIiIuQE2ZiIiIiAtQUyYiIiLiAtSUiYiIiLgANWUiIiIiLkBNmYiIiIgLUFMmIiIi4gLUlImIiIi4ADVlIiIiIi5ATZmIiIiIC1BTJiIiIuIC1JS5gcOHD/PQQw8RGRlJy5YtmTlzJhcvXnR2WQXy+++/M3nyZHr27EmDBg3o1q3bVbdbs2YNHTt2JDw8nB49evDpp5/e5koL7uOPP+axxx6jTZs2REZG0rNnT9auXYvNZnPYzl0z7ty5kwcffJDmzZvTsGFD2rdvz/Tp08nKynLYbvv27fTo0YPw8HA6duzIunXrnFTxrTt37hxt2rQhNDSUb7/91mGdu/4c169fT2hoaL6vf/7znw7buWu+PO+99x69evUiPDycZs2a8cgjj3DhwgX7enf+PY2Pj7/qzzA0NJRNmzbZt3P3n+G2bdvo168fUVFRtGrViieeeIKjR4/m287dcwJ4OrsA+XsZGRkMHDiQO+64g8TERE6ePMmMGTO4cOECkydPdnZ5N+3QoUPs3LmTRo0aYbVa8zUqAJs2bWLSpEkMGzaM5s2b89FHH5GQkMCqVauIjIy8/UXfpGXLllG5cmUmTJhA6dKl+eKLL5g0aRLJyckkJCQA7p0xPT2diIgI4uPjCQoK4tChQyQmJnLo0CGWLFkCwJ49e0hISKBv3748/fTTfPnllzzzzDP4+/vTqVMnJye4efPnz8diseRb7s4/xzxvvvkmpUqVsn8uX768/c/unu/1119n0aJFDBs2jMjISNLS0ti1a5f9Z+nuv6dTpkzh7NmzDsuWL1/OJ598QosWLQD3/xnu3r2bhIQEevXqxahRo0hPT+e1117j4Ycf5oMPPsDHxwdw/5x2NnFpb7zxhi0yMtKWlpZmX/buu+/a6tevb0tOTnZeYQVksVjsf37qqadsXbt2zbfN3XffbRs9erTDsv79+9seeeSRIq+vMJw5cybfsmeffdbWuHFje353z3il1atX2+rWrWv/nXz44Ydt/fv3d9hm9OjRts6dOzujvFvyyy+/2CIjI23vvPOOrW7durYDBw7Y17nzz3HdunW2unXrXvX3NY875zt8+LCtQYMGth07dlxzGyP9nuaJi4uzPfroo/bP7vwztNlstkmTJtni4uJsVqvVvmzXrl22unXr2r766iv7MnfPmUfTly7u3//+Ny1atCAoKMi+rHPnzlitVj7//HPnFVZAZvPf/8odPXqUI0eO0LlzZ4flXbp0YdeuXW4xbRscHJxvWf369Tl79izZ2dmGyHilvN/PS5cucfHiRXbv3p1vpKFLly4cPnyYY8eOOaHCgps2bRr33nsvNWrUcFhuxJ/jX7l7vvXr11OlShViY2Ovut5ov6cAe/fu5dixY3Tv3h1w/58hQG5uLv7+/phMJvuyvJFd2/+faTFCzjxqylzcr7/+Ss2aNR2WBQQEEBISwq+//uqkqopOXqYr/wGsVasWly5duup1BO7g66+/pnz58pQsWdIwGS0WCzk5OXz//ffMmzePuLg4qlSpwh9//MGlS5fy/d7WqlULwK1+bzdv3szPP//MiBEj8q0zys+xW7du1K9fn/bt27NgwQL71J675/vmm2+oW7cu8+fPp0WLFjRs2JB7772Xb775BsBQv6d5PvzwQ/z8/Gjfvj3g/j9DgD59+nD48GFWrVpFVlYWR48e5dVXX6VBgwY0btwYMEbOPLqmzMVlZmYSEBCQb3lgYCAZGRlOqKho5WW6MnPeZ3fMvGfPHj766COeeuopwDgZ27Vrx8mTJwFo3bo1s2bNAoyT7/z588yYMYNRo0ZRsmTJfOvdPWdISAgjR46kUaNGmEwmtm/fzpw5czh58iSTJ092+3wpKSl89913/Pzzz0yZMgVfX1/eeOMNHn74YT755BO3z3el3NxcPv74Y+Li4vDz8wPc/3cUoEmTJiQlJTFmzBief/554PLMw5tvvomHhwdgjJx51JSJFKHk5GRGjRpFs2bNGDBggLPLKVQLFy7k/Pnz/PLLL7z++usMGzaMpUuXOrusQvP6669TpkwZ/vGPfzi7lCLRunVrWrdubf/cqlUrSpQowfLlyxk2bJgTKyscNpuN7OxsXnvtNerVqwdAo0aNiIuLY+XKlbRq1crJFRauzz//nNTU1Gve0e6u9u7dy/jx47nnnnto27Yt6enpzJ8/nyFDhvD222/bL/Q3Ck1furiAgIB8jxqAy51/YGCgEyoqWnmZrsycmZnpsN4dZGZm8uijjxIUFERiYqL9ejqjZKxXrx5RUVH069eP+fPns3v3bv7v//7PEPmOHz/OkiVLePzxx8nKyiIzM5Ps7GwAsrOzOXfunCFyXqlz585YLBZ++OEHt88XEBBAUFCQvSGDy9c+NmjQgF9++cXt813pww8/JCgoyKHZNELGadOm0bx5cyZMmEDz5s3p1KkTCxcu5ODBg7z//vuAMXLmUVPm4mrWrJnv2oasrCxSUlLyXQthBHmZrsz866+/4uXlRdWqVZ1R1k27cOECQ4cOJSsrK98jB4yS8a9CQ0Px8vLijz/+oFq1anh5eV01H+AWv7fHjh3j0qVLDBkyhKZNm9K0aVP76NGAAQN46KGHDPlz/Ct3z1e7du1rrsvJyTHE72meCxcusHXrVjp16oSXl5d9ubv/DOHyczr/2lgDVKhQgdKlS/PHH38AxsiZR02Zi2vTpg1ffPGFveOHyxcfm81mWrZs6cTKikbVqlW544472Lx5s8Pyjz76iBYtWuDt7e2kym5cbm4uTz75JL/++itvvvmmw3OfwBgZr/TNN99w6dIlqlSpgre3N82aNWPLli0O23z00UfUqlWLKlWqOKnKG1e/fn3eeusth6+JEycCMHXqVKZMmWLIn+NHH32Eh4cHDRo0cPt87dq1Iz09nR9++MG+LC0tje+//56wsDBD/J7m2b59O9nZ2fa7LvO4+88QoFKlShw8eNBh2fHjx0lLS6Ny5cqAMXLm0TVlLu7ee+9lxYoVjBgxgqFDh3Ly5ElmzpzJvffem+8fe3dw/vx5du7cCVz+D+vs2bP2/5DuvPNOgoODGTlyJGPHjqVatWo0a9aMjz76iAMHDrBy5Upnln7Dpk6dyqeffsqECRM4e/Ys+/fvt69r0KAB3t7ebp0xISGBhg0bEhoaio+PDz/++COLFy8mNDSUu+66C4DHHnuMAQMG8Nxzz9G5c2d2797Nhx9+yOzZs51c/Y0JCAigWbNmV10XFhZGWFgYgFv/HAcPHkyzZs0IDQ0FLj81/V//+hcDBgwgJCQEcO98d911F+Hh4Tz++OOMGjWKEiVKsHDhQry9vbn//vsB9/89zfPBBx9QqVIloqOj861z558hXP438KWXXmLatGnExcWRnp5uv97zr4/AcPeceUw221UeqS4u5fDhw7zwwgvs27cPf39/evbsyahRo9yq+89z7Ngx++3aV3rrrbfs/xCuWbOGRYsWceLECWrUqMHo0aNp167d7Sy1wOLi4jh+/PhV123bts3+f+DumnHhwoV89NFH/PHHH9hsNipXrkyHDh0YPHiww12K27ZtY86cOfz2229UqlSJIUOG0LdvXydWfmt2797NgAEDWLt2LeHh4fbl7vpznDZtGp999hnJyclYrVbuuOMO+vXrR3x8vMMzodw1H0BqairTp0/n008/5dKlSzRp0oSJEyc6TG26++9pRkYGLVu2ZODAgYwbN+6q27jzz9Bms/Huu+/yzjvvcPToUfz9/YmMjGTUqFH2x5fkceecedSUiYiIiLgAXVMmIiIi4gLUlImIiIi4ADVlIiIiIi5ATZmIiIiIC1BTJiIiIuIC1JSJiIiIuAA1ZSIiIiIuQE2ZiMhtkJiYSGhoKKmpqc4uRURclJoyERERERegpkxERETEBagpExEREXEBaspERG6jrKwsJkyYQJMmTYiOjmbixImcP3/evj40NJTnn3+ejRs30rFjR8LDw+nTpw9fffWVE6sWkdtBTZmIyG305JNPcu7cOUaPHk3nzp1Zv349SUlJDtt89dVXvPTSS/To0YPHH3+c9PR0HnnkEX7++WcnVS0it4OnswsQESlO6tevz0svvWT/nJ6eztq1axk3bpx92c8//8y6deto2LAhAF27dqVTp07MnTs3XwMnIsahkTIRkdvo3nvvdfjcpEkT0tPTOXv2rH1ZVFSUvSEDqFSpEu3bt+c///kPFovlttUqIreXmjIRkduoUqVKDp8DAgIAyMjIsC+rXr16vv3uuOMOzp8/r+eciRiYmjIRkdvIbL76X7s2m+02VyIirkZNmYiIi/n999/zLTty5Ai+vr4EBwc7oSIRuR3UlImIuJh9+/bx/fff2z//+eefbNu2jZYtW+Lh4eHEykSkKOnuSxERF1O3bl0GDx5MfHw83t7evPPOOwCMHDnSyZWJSFFSUyYi4mKaNm1KZGQk8+bN48SJE9SuXZvp06dTr149Z5cmIkXIZNPVpSIiLiM0NJQHHniAyZMnO7sUEbnNdE2ZiIiIiAtQUyYiIiLiAtSUiYiIiLgAXVMmIiIi4gI0UiYiIiLiAtSUiYiIiLgANWUiIiIiLkBNmYiIiIgLUFMmIiIi4gLUlImIiIi4ADVlIiIiIi5ATZmIiIiIC1BTJiIiIuIC/h/jTGs4gTqpvwAAAABJRU5ErkJggg==",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=pokemon, x=\"hp\", y=\"type\", ci=None, palette=\"muted\")"
]
},
{
"cell_type": "markdown",
"id": "213d6139-203f-4d81-a4b1-6f98cb184662",
"metadata": {},
"source": [
"**When you want to show how many observations are the intersection of multiple categories,** a [countplot](https://seaborn.pydata.org/generated/seaborn.countplot.html) is a good choice. \n",
"\n",
"To demonstrate this, let's convert the numeric variable `speed` into a categorical variable, `speed_category`, using the built-in function [cut](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.cut.html). "
]
},
{
"cell_type": "code",
"execution_count": 70,
"id": "3c8e9f47-9aea-4bf0-a628-7aa1a66a8eee",
"metadata": {
"tags": []
},
"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": 75,
"id": "22f78bec-3d18-4133-ba9f-6595d7181ded",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='speed_category', ylabel='count'>"
]
},
"execution_count": 75,
"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=\"type\")"
]
},
{
"cell_type": "code",
"execution_count": 71,
"id": "c0a51d39-3890-4508-9eba-2777da377ee6",
"metadata": {
"tags": []
},
"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",
" <th>speed_category</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Bulbasaur</td>\n",
" <td>Grass</td>\n",
" <td>Poison</td>\n",
" <td>318</td>\n",
" <td>45</td>\n",
" <td>49</td>\n",
" <td>49</td>\n",
" <td>65</td>\n",
" <td>65</td>\n",
" <td>45</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" <td>slow</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Ivysaur</td>\n",
" <td>Grass</td>\n",
" <td>Poison</td>\n",
" <td>405</td>\n",
" <td>60</td>\n",
" <td>62</td>\n",
" <td>63</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>60</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" <td>medium</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Venusaur</td>\n",
" <td>Grass</td>\n",
" <td>Poison</td>\n",
" <td>525</td>\n",
" <td>80</td>\n",
" <td>82</td>\n",
" <td>83</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>80</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" <td>medium</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>VenusaurMega Venusaur</td>\n",
" <td>Grass</td>\n",
" <td>Poison</td>\n",
" <td>625</td>\n",
" <td>80</td>\n",
" <td>100</td>\n",
" <td>123</td>\n",
" <td>122</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" <td>medium</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Charmander</td>\n",
" <td>Fire</td>\n",
" <td>NaN</td>\n",
" <td>309</td>\n",
" <td>39</td>\n",
" <td>52</td>\n",
" <td>43</td>\n",
" <td>60</td>\n",
" <td>50</td>\n",
" <td>65</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" <td>medium</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </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",
" <td>slow</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",
" <td>fast</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",
" <td>medium</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",
" <td>medium</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",
" <td>medium</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>800 rows × 13 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",
" speed_category \n",
"0 slow \n",
"1 medium \n",
"2 medium \n",
"3 medium \n",
"4 medium \n",
".. ... \n",
"795 slow \n",
"796 fast \n",
"797 medium \n",
"798 medium \n",
"799 medium \n",
"\n",
"[800 rows x 13 columns]"
]
},
"execution_count": 71,
"metadata": {},
"output_type": "execute_result"
}
],
"source": []
},
{
"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": 76,
"id": "444d9832-bd57-4238-9ea4-5ee898847170",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='speed'>"
]
},
"execution_count": 76,
"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": 77,
"id": "86f9747b-00a3-407f-9b73-0bce40bac50d",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='speed'>"
]
},
"execution_count": 77,
"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": 79,
"id": "7385237c-6a5c-4041-af46-559d6d84d1fa",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/mgunsolus/.cache/pypoetry/virtualenvs/lab-pokemon-nl2CIROP-py3.10/lib/python3.10/site-packages/seaborn/axisgrid.py:88: UserWarning: The figure layout has changed to tight\n",
" self._figure.tight_layout(*args, **kwargs)\n"
]
},
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x7f64b2a07e80>"
]
},
"execution_count": 79,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 1500x1000 with 6 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\", row=\"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": 81,
"id": "3b268a30-42ff-4ab8-b2cd-c58a76121f9c",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='height', ylabel='Count'>"
]
},
"execution_count": 81,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.histplot(data=people, x=\"height\", bins=7)"
]
},
{
"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": 83,
"id": "ee30c851-14b1-4901-9182-4304d54d53a6",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='age', ylabel='sleep'>"
]
},
"execution_count": 83,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=people, x=\"age\", y=\"sleep\", ci=None, 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": 85,
"id": "13eeecd8-2518-4ed9-aac5-727a96b5bf80",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='income', ylabel='exercise'>"
]
},
"execution_count": 85,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=people, x=\"income\", y=\"exercise\", ci=None, 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": 88,
"id": "4ee2eb69-2f9a-42e7-b5d3-9499631bfd06",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='age', ylabel='health'>"
]
},
"execution_count": 88,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=people, x=\"age\", y=\"health\", hue=\"exercise\", ci=None, 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": 89,
"id": "d7e02da8-beab-40e7-95d0-74a5c2bc838e",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='education', ylabel='count'>"
]
},
"execution_count": 89,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.countplot(data=people, x=\"education\", hue=\"income\")"
]
},
{
"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": 92,
"id": "b00dd7d6-226b-469c-86d8-b71b328aa576",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/mgunsolus/.cache/pypoetry/virtualenvs/lab-pokemon-nl2CIROP-py3.10/lib/python3.10/site-packages/seaborn/axisgrid.py:88: UserWarning: The figure layout has changed to tight\n",
" self._figure.tight_layout(*args, **kwargs)\n"
]
},
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x7f64b21a7550>"
]
},
"execution_count": 92,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 1000x500 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.relplot(data=people, x=\"height\", y=\"weight\", col=\"sex\", alpha=0.01, 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": null,
"id": "6f934273-b829-4bc2-a7f4-a27a3fc44a99",
"metadata": {},
"outputs": [],
"source": [
"# Your code here. Feel free to add new text cells and code cells as necessary."
]
},
{
"cell_type": "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": "3.10.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
Reference in New Issue View Git Blame Copy Permalink