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{
"cells": [
{
"cell_type": "markdown",
"id": "90041b00-672b-4bd4-a8e8-0cab3f0548af",
"metadata": {},
"source": [
"# Lab 04: Data Science Tools\n",
"\n",
"## 0. Jupyter Notebooks\n",
"\n",
"Welcome to your first Jupyter notebook! Notebooks are made up of cells. Some cells contain text (like this one) and others contain Python code. \n",
"\n",
"Each cell can be in two different modes: editing or running. To edit a cell, double-click on it. When you're done editing, press **shift+Enter** to run it. You can use [Markdown](https://www.markdownguide.org/cheat-sheet/) to add basic formatting to the text. Before you go on, try editing the text in this cell."
]
},
{
"cell_type": "code",
"execution_count": 91,
"id": "5923b0d7-c0e0-48fa-b765-4aa6002c2d4f",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"2"
]
},
"execution_count": 91,
"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",
"5-3"
]
},
{
"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": 92,
"id": "0e2a2927-f6d1-4b13-97ae-ff97416723e9",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"10"
]
},
"execution_count": 92,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Cell A\n",
"x = 10\n",
"x"
]
},
{
"cell_type": "code",
"execution_count": 93,
"id": "69dd7908-b213-4d0f-8016-e46a4a491961",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"20"
]
},
"execution_count": 93,
"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": 12,
"id": "ba09a0f8-27d9-456f-aeff-3980e3362d5b",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 13,
"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": 14,
"id": "579d8dda-ca39-48b1-8819-b17651029729",
"metadata": {
"tags": []
},
"outputs": [
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" <td>VenusaurMega Venusaur</td>\n",
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" <td>Diancie</td>\n",
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" <td>100</td>\n",
" <td>150</td>\n",
" <td>100</td>\n",
" <td>150</td>\n",
" <td>50</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
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" <tr>\n",
" <th>796</th>\n",
" <td>DiancieMega Diancie</td>\n",
" <td>Rock</td>\n",
" <td>Fairy</td>\n",
" <td>700</td>\n",
" <td>50</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
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" <tr>\n",
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" <td>HoopaHoopa Confined</td>\n",
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" <tr>\n",
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" <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",
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" <td>Fire</td>\n",
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" <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",
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"<p>800 rows × 12 columns</p>\n",
"</div>"
],
"text/plain": [
" name type subtype total hp attack defense \\\n",
"0 Bulbasaur Grass Poison 318 45 49 49 \n",
"1 Ivysaur Grass Poison 405 60 62 63 \n",
"2 Venusaur Grass Poison 525 80 82 83 \n",
"3 VenusaurMega Venusaur Grass Poison 625 80 100 123 \n",
"4 Charmander Fire NaN 309 39 52 43 \n",
".. ... ... ... ... .. ... ... \n",
"795 Diancie Rock Fairy 600 50 100 150 \n",
"796 DiancieMega Diancie Rock Fairy 700 50 160 110 \n",
"797 HoopaHoopa Confined Psychic Ghost 600 80 110 60 \n",
"798 HoopaHoopa Unbound Psychic Dark 680 80 160 60 \n",
"799 Volcanion Fire Water 600 80 110 120 \n",
"\n",
" special_attack special_defense speed generation legendary \n",
"0 65 65 45 1 False \n",
"1 80 80 60 1 False \n",
"2 100 100 80 1 False \n",
"3 122 120 80 1 False \n",
"4 60 50 65 1 False \n",
".. ... ... ... ... ... \n",
"795 100 150 50 6 True \n",
"796 160 110 110 6 True \n",
"797 150 130 70 6 True \n",
"798 170 130 80 6 True \n",
"799 130 90 70 6 True \n",
"\n",
"[800 rows x 12 columns]"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
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],
"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": 15,
"id": "c9e5e4ec-b197-450c-ae2d-318006fa0a2f",
"metadata": {
"tags": []
},
"outputs": [
{
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" <tr>\n",
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" <td>25</td>\n",
" <td>male</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.78</td>\n",
" <td>86.18</td>\n",
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" <td>True</td>\n",
" <td>6</td>\n",
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" <td>25</td>\n",
" <td>female</td>\n",
" <td>1</td>\n",
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" <td>1.91</td>\n",
" <td>45.36</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
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" <tr>\n",
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" <td>35</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.60</td>\n",
" <td>68.04</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
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" <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": 15,
"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": 18,
"id": "9afca362-9edc-423c-981b-dc42107d5de0",
"metadata": {
"tags": []
},
"outputs": [
{
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"1 0.20750\n",
"5 0.20625\n",
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"4 0.15125\n",
"2 0.13250\n",
"6 0.10250\n",
"Name: generation, dtype: float64"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon.generation.value_counts(normalize=True)"
]
},
{
"cell_type": "markdown",
"id": "a9b98eee-bdc2-4c63-bab2-ee82e2466d0f",
"metadata": {},
"source": [
"For numeric data, we could start by looking at the mean value. We can select multiple columns and get all the column means at once."
]
},
{
"cell_type": "code",
"execution_count": 19,
"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": 19,
"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": 20,
"id": "dc69ef53-70cd-4ae0-80e7-c9c8e28de76f",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"0.08125"
]
},
"execution_count": 20,
"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": 21,
"id": "8fbcc766-8399-4f93-a6c8-e0607250a72a",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"age\n",
"65 0.336326\n",
"55 0.206369\n",
"45 0.157669\n",
"35 0.135527\n",
"25 0.108866\n",
"18 0.055244\n",
"dtype: float64"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people[[\"age\"]].value_counts(normalize=True)"
]
},
{
"cell_type": "markdown",
"id": "38006e7b-4771-4c29-86a8-19d04a50fc25",
"metadata": {},
"source": [
"**1.2.1.** What are the mean height and weight of people in this survey?"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "b7f910c8-3d40-49ae-b270-678734c04100",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"height 1.705082\n",
"weight 83.053588\n",
"dtype: float64"
]
},
"execution_count": 22,
"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": 23,
"id": "f3891188-a85f-4089-8388-d4d81c7438ad",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"0.7858014120474688"
]
},
"execution_count": 23,
"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": 24,
"id": "12c0c6c9-c07b-4183-82f6-5e346c74aac9",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
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" }\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",
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" <tr>\n",
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" <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",
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" <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",
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" <td>MewtwoMega Mewtwo X</td>\n",
" <td>Psychic</td>\n",
" <td>Fighting</td>\n",
" <td>780</td>\n",
" <td>106</td>\n",
" <td>190</td>\n",
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" <tr>\n",
" <th>795</th>\n",
" <td>Diancie</td>\n",
" <td>Rock</td>\n",
" <td>Fairy</td>\n",
" <td>600</td>\n",
" <td>50</td>\n",
" <td>100</td>\n",
" <td>150</td>\n",
" <td>100</td>\n",
" <td>150</td>\n",
" <td>50</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>796</th>\n",
" <td>DiancieMega Diancie</td>\n",
" <td>Rock</td>\n",
" <td>Fairy</td>\n",
" <td>700</td>\n",
" <td>50</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>110</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>797</th>\n",
" <td>HoopaHoopa Confined</td>\n",
" <td>Psychic</td>\n",
" <td>Ghost</td>\n",
" <td>600</td>\n",
" <td>80</td>\n",
" <td>110</td>\n",
" <td>60</td>\n",
" <td>150</td>\n",
" <td>130</td>\n",
" <td>70</td>\n",
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" <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",
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"<p>65 rows × 12 columns</p>\n",
"</div>"
],
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" 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": 24,
"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": 25,
"id": "5d089acf-7b76-4f91-8803-42a4a9a11e3e",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"0 False\n",
"1 False\n",
"2 False\n",
"3 False\n",
"4 False\n",
" ... \n",
"795 False\n",
"796 False\n",
"797 False\n",
"798 False\n",
"799 False\n",
"Name: type, Length: 800, dtype: bool"
]
},
"execution_count": 25,
"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": 26,
"id": "510fa0fc-2b38-4725-9bbf-ec57d62792be",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
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" <th>238</th>\n",
" <td>Swinub</td>\n",
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" <tr>\n",
" <th>239</th>\n",
" <td>Piloswine</td>\n",
" <td>Ice</td>\n",
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" <td>450</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
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" <th>243</th>\n",
" <td>Delibird</td>\n",
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" <td>330</td>\n",
" <td>45</td>\n",
" <td>55</td>\n",
" <td>45</td>\n",
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" <tr>\n",
" <th>257</th>\n",
" <td>Smoochum</td>\n",
" <td>Ice</td>\n",
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" <td>305</td>\n",
" <td>45</td>\n",
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" <td>15</td>\n",
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" <tr>\n",
" <th>395</th>\n",
" <td>Snorunt</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>300</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>396</th>\n",
" <td>Glalie</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>480</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>3</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>397</th>\n",
" <td>GlalieMega Glalie</td>\n",
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" <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",
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" <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",
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" </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",
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" <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",
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" <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": 26,
"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": 27,
"id": "05d4c5c2-c6b4-4795-9799-c884b15445a1",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
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"<div>\n",
"<style scoped>\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>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",
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" <tr>\n",
" <th>133</th>\n",
" <td>Jynx</td>\n",
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" <td>455</td>\n",
" <td>65</td>\n",
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" <td>115</td>\n",
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" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>156</th>\n",
" <td>Articuno</td>\n",
" <td>Ice</td>\n",
" <td>Flying</td>\n",
" <td>580</td>\n",
" <td>90</td>\n",
" <td>85</td>\n",
" <td>100</td>\n",
" <td>95</td>\n",
" <td>125</td>\n",
" <td>85</td>\n",
" <td>1</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>396</th>\n",
" <td>Glalie</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>480</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
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" <tr>\n",
" <th>397</th>\n",
" <td>GlalieMega Glalie</td>\n",
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" <td>80</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
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" <tr>\n",
" <th>524</th>\n",
" <td>Mamoswine</td>\n",
" <td>Ice</td>\n",
" <td>Ground</td>\n",
" <td>530</td>\n",
" <td>110</td>\n",
" <td>130</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
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" <td>Ghost</td>\n",
" <td>480</td>\n",
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" <th>676</th>\n",
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" <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": 27,
"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": 29,
"id": "198cb0c6-3f43-43c2-9eee-3939c12ea537",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
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"<div>\n",
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" }\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>age</th>\n",
" <th>sex</th>\n",
" <th>income</th>\n",
" <th>education</th>\n",
" <th>sexual_orientation</th>\n",
" <th>height</th>\n",
" <th>weight</th>\n",
" <th>health</th>\n",
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" <th>exercise</th>\n",
" <th>sleep</th>\n",
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" <td>5</td>\n",
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" <td>2</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
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" <tr>\n",
" <th>2</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
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" <td>heterosexual</td>\n",
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" <th>24</th>\n",
" <td>35</td>\n",
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" <td>10</td>\n",
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" <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",
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" <td>18</td>\n",
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" <td>5</td>\n",
" <td>2</td>\n",
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" <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",
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" <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",
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" <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",
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" <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",
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" <tr>\n",
" <th>166423</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.60</td>\n",
" <td>68.04</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>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": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"no_doctor = people[people.no_doctor]\n",
"no_doctor"
]
},
{
"cell_type": "markdown",
"id": "9d213707-a15b-4751-8df9-48aa568af209",
"metadata": {},
"source": [
"**1.3.1.** `health` asks people for their general health, with the meanings of numbers shown below. Create a dataframe which contains people whose general health is good or better. \n",
"\n",
"| number | health status | \n",
"| ------ | ----------- |\n",
"| 1 | Poor |\n",
"| 2 | Fair |\n",
"| 3 | Good |\n",
"| 4 | Very good |\n",
"| 5 | Excellent |"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "8a8c1ad6-4c1e-4996-ab5e-5212dadb1851",
"metadata": {
"tags": []
},
"outputs": [
{
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" <th></th>\n",
" <th>age</th>\n",
" <th>sex</th>\n",
" <th>income</th>\n",
" <th>education</th>\n",
" <th>sexual_orientation</th>\n",
" <th>height</th>\n",
" <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": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"good_health = people[people.health >= 3]\n",
"good_health"
]
},
{
"cell_type": "markdown",
"id": "7add542b-bfd2-481a-b5b4-4e1ca744078a",
"metadata": {},
"source": [
"**1.3.2.**. `education` indicates the highest level of education completed, with codes as follows. Create a dataframe which only contains female college graduates who needed a doctor but couldn't afford one. (The survey asked people for their current sex, and only had options for male and female.)\n",
"\n",
"| number | education level | \n",
"| ------ | ----------- |\n",
"| 1 | Did not graduate from high school |\n",
"| 2 | Graduated from high school |\n",
"| 3 | Attended some college |\n",
"| 4 | Graduated from college |"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "315682ae-7d54-4d78-9a63-d23c83ba1576",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>age</th>\n",
" <th>sex</th>\n",
" <th>income</th>\n",
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" <th>sexual_orientation</th>\n",
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" <th>166404</th>\n",
" <td>65</td>\n",
" <td>female</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.60</td>\n",
" <td>68.04</td>\n",
" <td>3</td>\n",
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" <td>True</td>\n",
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" </tbody>\n",
"</table>\n",
"<p>34021 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" age sex income education sexual_orientation height weight \\\n",
"4 55 female 8 4 heterosexual 1.80 76.66 \n",
"6 65 female 5 4 other 1.63 90.72 \n",
"8 55 female 6 4 heterosexual 1.73 63.50 \n",
"9 45 female 8 4 heterosexual 1.68 124.74 \n",
"10 55 female 7 4 other 1.55 76.66 \n",
"... ... ... ... ... ... ... ... \n",
"166393 25 female 7 4 heterosexual 1.73 61.69 \n",
"166397 65 female 8 4 heterosexual 1.57 66.68 \n",
"166398 55 female 7 4 heterosexual 1.40 63.50 \n",
"166402 65 female 6 4 other 1.55 58.97 \n",
"166404 65 female 1 4 heterosexual 1.60 68.04 \n",
"\n",
" health no_doctor exercise sleep \n",
"4 4 False True 8 \n",
"6 3 False True 7 \n",
"8 5 False True 7 \n",
"9 2 False False 6 \n",
"10 4 False True 6 \n",
"... ... ... ... ... \n",
"166393 5 False True 7 \n",
"166397 5 False True 8 \n",
"166398 3 False False 5 \n",
"166402 5 False True 7 \n",
"166404 3 False True 8 \n",
"\n",
"[34021 rows x 11 columns]"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dataframe_onethreetwo = people[(people.education == 4) & (people.sex == \"female\") & (~people.no_doctor)]\n",
"dataframe_onethreetwo"
]
},
{
"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": 36,
"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": 36,
"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": 37,
"id": "5c420c0e-b5d2-49ae-ab98-3305ee076169",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
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"<div>\n",
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" }\n",
"\n",
" .dataframe thead th {\n",
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" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>hp</th>\n",
" <th>attack</th>\n",
" <th>defense</th>\n",
" </tr>\n",
" <tr>\n",
" <th>type</th>\n",
" <th></th>\n",
" <th></th>\n",
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" <tr>\n",
" <th>Bug</th>\n",
" <td>56.884058</td>\n",
" <td>70.971014</td>\n",
" <td>70.724638</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Electric</th>\n",
" <td>59.795455</td>\n",
" <td>69.090909</td>\n",
" <td>66.295455</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Ghost</th>\n",
" <td>64.437500</td>\n",
" <td>73.781250</td>\n",
" <td>81.187500</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Steel</th>\n",
" <td>65.222222</td>\n",
" <td>92.703704</td>\n",
" <td>126.370370</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Rock</th>\n",
" <td>65.363636</td>\n",
" <td>92.863636</td>\n",
" <td>100.795455</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Dark</th>\n",
" <td>66.806452</td>\n",
" <td>88.387097</td>\n",
" <td>70.225806</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Poison</th>\n",
" <td>67.250000</td>\n",
" <td>74.678571</td>\n",
" <td>68.821429</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Grass</th>\n",
" <td>67.271429</td>\n",
" <td>73.214286</td>\n",
" <td>70.800000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fighting</th>\n",
" <td>69.851852</td>\n",
" <td>96.777778</td>\n",
" <td>65.925926</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fire</th>\n",
" <td>69.903846</td>\n",
" <td>84.769231</td>\n",
" <td>67.769231</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Psychic</th>\n",
" <td>70.631579</td>\n",
" <td>71.456140</td>\n",
" <td>67.684211</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Flying</th>\n",
" <td>70.750000</td>\n",
" <td>78.750000</td>\n",
" <td>66.250000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Ice</th>\n",
" <td>72.000000</td>\n",
" <td>72.750000</td>\n",
" <td>71.416667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Water</th>\n",
" <td>72.062500</td>\n",
" <td>74.151786</td>\n",
" <td>72.946429</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Ground</th>\n",
" <td>73.781250</td>\n",
" <td>95.750000</td>\n",
" <td>84.843750</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fairy</th>\n",
" <td>74.117647</td>\n",
" <td>61.529412</td>\n",
" <td>65.705882</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Normal</th>\n",
" <td>77.275510</td>\n",
" <td>73.469388</td>\n",
" <td>59.846939</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Dragon</th>\n",
" <td>83.312500</td>\n",
" <td>112.125000</td>\n",
" <td>86.375000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" hp attack defense\n",
"type \n",
"Bug 56.884058 70.971014 70.724638\n",
"Electric 59.795455 69.090909 66.295455\n",
"Ghost 64.437500 73.781250 81.187500\n",
"Steel 65.222222 92.703704 126.370370\n",
"Rock 65.363636 92.863636 100.795455\n",
"Dark 66.806452 88.387097 70.225806\n",
"Poison 67.250000 74.678571 68.821429\n",
"Grass 67.271429 73.214286 70.800000\n",
"Fighting 69.851852 96.777778 65.925926\n",
"Fire 69.903846 84.769231 67.769231\n",
"Psychic 70.631579 71.456140 67.684211\n",
"Flying 70.750000 78.750000 66.250000\n",
"Ice 72.000000 72.750000 71.416667\n",
"Water 72.062500 74.151786 72.946429\n",
"Ground 73.781250 95.750000 84.843750\n",
"Fairy 74.117647 61.529412 65.705882\n",
"Normal 77.275510 73.469388 59.846939\n",
"Dragon 83.312500 112.125000 86.375000"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ptypes = pokemon.groupby(\"type\")\n",
"ptypes[[\"hp\", \"attack\", \"defense\"]].mean().sort_values(\"hp\")"
]
},
{
"cell_type": "markdown",
"id": "cc9a3d19-0ecd-487b-b34f-b748c44fc9c9",
"metadata": {},
"source": [
"Which type/subtype combinations are most likely to have legendary pokémon?"
]
},
{
"cell_type": "code",
"execution_count": 38,
"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",
"Ghost Dragon 1.000000\n",
"Ground Fire 1.000000\n",
"Fire Water 1.000000\n",
" Steel 1.000000\n",
"Steel Dragon 1.000000\n",
"Dragon Electric 1.000000\n",
"Psychic Ghost 1.000000\n",
"Dragon Psychic 1.000000\n",
" Ice 1.000000\n",
"Rock Fighting 1.000000\n",
"Steel Fighting 1.000000\n",
"Dragon Fire 1.000000\n",
"Psychic Dark 1.000000\n",
" Fire 1.000000\n",
"Name: legendary, dtype: float64"
]
},
"execution_count": 38,
"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": 40,
"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": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sleep_by_income = people.groupby(\"income\").sleep.mean()\n",
"sleep_by_income"
]
},
{
"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": 43,
"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": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"income_or_health = people.groupby([\"sex\",\"education\"])\n",
"income_or_health[[\"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": 44,
"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": 45,
"id": "5ce066fe-f81d-4b78-a394-c5c2f4dc9f46",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='attack', ylabel='Count'>"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.histplot(data=pokemon, x=\"attack\")"
]
},
{
"cell_type": "code",
"execution_count": 46,
"id": "bceb253b-ef4f-4aa2-aef4-cab2b3ca6d59",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='Count', ylabel='attack'>"
]
},
"execution_count": 46,
"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": 47,
"id": "92be1ad0-12bb-49f0-a3f6-85fcfd98e943",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='legendary', ylabel='hp'>"
]
},
"execution_count": 47,
"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": 48,
"id": "17f1c289-5990-4420-bfcb-e50eee0b8af6",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='type'>"
]
},
"execution_count": 48,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=pokemon, x=\"hp\", y=\"type\", 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": 60,
"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": 50,
"id": "22f78bec-3d18-4133-ba9f-6595d7181ded",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='speed_category', ylabel='count'>"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.countplot(data=pokemon, x=\"speed_category\", hue=\"legendary\")"
]
},
{
"cell_type": "markdown",
"id": "fd508c13-9900-4be1-958f-4f9e9e9b633a",
"metadata": {},
"source": [
"**When you want to show the relationship between two numeric variables**, a [scatterplot](https://seaborn.pydata.org/generated/seaborn.scatterplot.html) is a good choice. \n",
"\n",
"Here, we plot pokémon hit points against their speed. "
]
},
{
"cell_type": "code",
"execution_count": 51,
"id": "444d9832-bd57-4238-9ea4-5ee898847170",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='speed'>"
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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PugEWju1w4KPFlkQUVORZFi1uHmebnWh18+BZ+oghCCLxoMwPQUBdwFDrmO5mSyR4GAYb36xARU27TUW5ViycXgiOsl8EQSQQ9LOMSHnUBAwFhtE0prvZEgk8y2LjrsqgwAcAKmrqsHFXJWWACIJIKOgTiUh51AQM7W6vpjHdzZZIsDk9YYGPSEWNTwSSIAgiUaDgh0h5VAUMHR5NY7qbLYEIDINmhxdVtQ246PSGZZda7W5lm1REIAmCIOIJ1fwQKY+qgKEGgcJoiRgmki0iWuqL0sx6ZZtURCAJgiDiCWV+iJRHTcDQrNdpGtPdbAG01SABgMXIoShX2qaiXJ8IJEEQRKJAwQ+R8qgJGDKCoGlMd7MF0FaDBAAsz2Ph9MKwAEhc7cXyfNRsIgiC6Cz0c4wgoE2gMNYihgLD+OeeO7EA3GQGF20umI3xt0VES32RJd0AAOAEAYtnFMHm9MBm98Bi5mAxchT4EASRcCRU8LN582bs378f27dv92/7+9//jo0bN+LUqVPIzMzED37wA/zkJz+ByWQCAHz22Wf43//937C5Xn31VYwcOTJuthPJjyhQKH6ZQyKQ0DKmI6jW1cTRlkBMKo+rQvezPI90PYt0fZtNFPgQBJGAJEzw89prr2HdunUYPny4f9vBgwexaNEiPPDAA7j55ptRW1uLlStX4sKFC3j66acBAFVVVbjiiiuwc+fOoPl69uwZV/uJ5Ccw89LRTArPsrA5PWi1u5Fu1sOsIfOhVlezqAt7g7EMg6Jcq+Qy9qJcK9gEUJUmCIKIlC4Pfs6ePYvHH38c5eXlGDBgQNC+P/zhDxg5ciTuv/9+AMCAAQPw0EMPYcWKFXjiiSdgMBhQXV2NK6+8ElardLElQWghGorJHVU41lJXY+G6pjyPYQSUluQAQNh5lZbkgGEEABQAEQSRXHR5wfMXX3wBvV6PsrIyFBUVBe2bM2cOli1bFrSNZVm43W60tLQA8GV+Bg0aFDd7ie5HNBSTO6Nw3BW6PVoxcTq8X34a+dmZWDl3JJbPHoGVc0ciPzsT75efhomL3soygiCIeNHlmZ9x48Zh3LhxkvuGDBkS9Lfb7cZvf/tbFBQUICsrCwBQU1ODzMxMTJ06FWfPnkVeXh4eeughFBYWdsouLoq/tHU6Nuj/RPTpjI+bHWqZFx4ZJuUv+Qt2dYXjXjJaNxaTikaOSR/V+zFS5pUWYNPuSryxt9q/rTjfigXTCqFnGVDmJzrQ50TsIR/HnmTxcZcHP1rxeDx45JFHUFNTg9deew0A8O233+LixYuw2WxYsWIFdDodduzYgVmzZmH37t248sorO3QslmWQmZkWTfMBABkZ5qjPSQTTER+fq21Q3O9weZDdP0NxzDeN5xX32xweDLxUug6Ns7lQnG/Foarw4Kk434qsnib0sBjC9l20udDU4kSr3Y00sx49042S46LB0lnD43asVIc+J2IP+Tj2JLqPkyL4aWlpwYMPPoh//etf2LBhgz+r079/fxw4cABmsxl6ve/X89ChQ3H06FFs374dTzzxRIeOx/MCmpttUbNfp2ORkWFGc7MdXi+tfokFnfGxyaCyosnAobGxVXGMFmVmpTkWTC3Ept2VQQGQmF3xON1odAa3j3B6BdkaJaMuNpmYDBOHy/r2QHOzXdImonPQ50TsIR/Hnq70cUaGWXPGKeGDn3PnzuGee+7B119/jW3btmHEiBFB+zMygn+RsyyLQYMG4ezZs506rscT/Yvm9fIxmZdopyM+NutZxcyLWc+qzikqHAc++jIZdCgdMwiFV/aBw+lBMwPZFWQ6QFq3hxfg4YPHd/XqMLqPYwv5N/aQj2NPovs4oR/KNTU14c4770RDQwNee+21sMBn3759KC4uxldffeXf5vF4cPz48Q4/8iJSj2goJocqHJsMOiydNRxVtY1Y8dLHeGTDfixa8wE27K6EV6aAWtTt6ZNugIVjZY+biF3dCYIgkomEzvw8/fTT+Oqrr7B161ZkZWWhrq79Az8rKwvXXHMNMjMzsWzZMjz22GPQ6/XYsmULLly4gLvuuqvrDCeSjmgoJgcqHDNg8Mofj4QVQatlZ5S0hsR9F20qHdQDVJcJgiCIcBI2+PF6vfjLX/4Ct9uNO++8M2z/3/72N1x22WX47W9/izVr1mDu3LlwOp34n//5H+zYsQN9+vTpAquJZCYaismiwrHNw0es3aOkNcQA2Ni2b+VcZeXyaHd1JwiC6G4k1KfkM8884/+3TqdDZWWl6muuuOIKrF+/PpZmER0gGmrJyWhPR7MzanU8NxRe6t93vLZRVnXZ39U9gnNLtGulRrLZSxBE4pFQwQ/RPYiGWnIy2hN4nEizM2p1PBNH5/j/Ltt3Ektn+drABAZAHenqnmjXSo1ks5cgiMQkoQueieQjGmrJyWhP6HHE7IwU/uxMAGoqzi53+6oJh8uL1TsO+lWXn1kwGhuWjMWiCAOARLtWaiSbvQRBJC6U+SGiSqL1qYqXPaHHiTQ7k2bmMHN8HgZnZ8Ll5mHQszhe24iyfSfhcHlh0Afb6HB5/YrLG5aM9Z1DhJmPRLtWaiSbvQRBJC4U/BBRRUufqniuRIqXPaHHEbMzpWMGYdKYHFiMeqRb5OtT9JwOVbWNQS0kinKtWDprON4vP42GZofkcTtS4yNns9T+RFo1lmz2EgSRuFDwQ0QVLUrH8SRe9kjNozU7IzAMXnxLuikqACyaUQRGEMKEGDtS46NmcyT7402y2UsQROJCnxZEVDHrdSpqyR3LUiS6PZ05jtLjnIqaOjhdHlg4ttM6RNG0uStINnsJgkhc6AE5EVWioZbcVfYIDAObh0d9iws2Dx9RAW1njqPlcY54DC0K0LGwORFINnsJgkhcKPNDRJ1oqCXH255oLKHu6HF+ef/1ivPG8nFOol0rNZLNXoIgEhMKfoiYEA215HgRSaNQnmVhc3rQancj3ayH2ciB5duXoSudt8Aw2LrnCHKvyMTEkhz/qi6Hy4thuVZ8HqFooRaxPy1jonWt4iU+mEz3FkEQiQkFP0S3Ry2ro3UJtYdhsPHNiqDC5KJcKxZOLwSn4QvY4fHipusGoOzDU0GrukZc1Q/zJhdgW9kRzQXNWjJV8RQEJPFBgiCSCQp+iG6NlqyOlpobU4YpKPAxGXQoHTMIg7Mz8dXZFvTLssCsV67DEQQGZR+eClvVdeDYWQDAfZML4fGqZ060nBMAzdmszhJJ5owgCCIRoOCH6NZoyeqYjMpvA5ORg83pCQp8ls4aHpbBUct08IIg2Y8L8AVAd9x6FdL16o9ztJwTgLgJApL4IEEQyQZ9IhHdGi1ZHZZhZFtRFOVawTIMWu3tjUpLxwySzOCotVlQs8Wusl/rPDaHR/MKsmgQz2MRBEFEAwp+iG6NFmE8hhFQWpITFgAV5VpRWpIDhhGQZtb7tw/OzpTN4ARmXiK1xaxxVZeWc4qnICCJDxIEkWxQ8EN0a0RhPCnElVQmTod/fPYfTCzJwfMP3Yin5t+A5x+6ERNLcvCPz/4DE6eDxcj5g6PAJqNStNo9qG9xodXNw+YRYPf6NIMsRg7DZDJMw3KtsKg8fovknLSMiRbxPBZBEEQ0oOCH6NZoEcZjBAGzbx2CP354Cg89/0889uJHeOj5f+KPH57C7FuHgBEEsDyPhdMLUZRrDWsyGkqrw41HNuzH4uc+wMt7juDMeTu2lB2Bw+3FRJkM08SSHDjd2h4PaT2neAkCkvggQRDJBiMI9MkUitfLo6GhNWrzcRyLzMw0NDa2wuNRzhoQHUPNx0oaNALDYIPEaiXA9wUeqvPj8fLY/M5hyTYLRblW5GdnhjUozc/ORH52JlZvP+hfJRbavf2X949Cr3SToo6Q1nOKZIxWOuNjQh36nIg95OPY05U+zspKg06nLadDD+OJlEBJGC+S1Uosz8PAAAumFmLT7sqgAEisEVq942DQHBU1dZg0JgdAcLPTQHqlG9AjzYgXItAR0iL2F09BQBIfJAgiWaDgh0h6BIZBs8OLc7UNMBs5mCLse6VltZL4hS5mN+xOD+6bPBQerwCbww2TkYPbw4NlgVX3jkLjRSf0XHtWx+XmceqbJoy8uh+y+/cMy/xck2/Fpl3Snd037qrE4hlFshmgRIKyPwRBJAMU/BBJTTSUhbWuVgo9lsmgw8q51+HNv1Xj2OkGv/ZPaOZm6azh0LEM3v/0NH61uASbdlWGPRYbXXSp7Aqyipo6tNjdsJg4TUrSXQWpPBMEkSxQwTORtKgpC6t1ZRe7q9scHjx5//WYOT4PJoMOJoMOM8fnYeXckfjZnJEAGPAsi617jgQdq3TMILy+txqHqutktX8qaupQ9uEpeHgBs265Ci++JZ3dabG5oYTN4cHGXZXg2cR8y3b2WhAEQcQTyvwQSUtnlIWlshRFuVYsmz0CgiBgz75w9eYJN+Sg4kQ9HC6fjs/ggMLmwSFFzoFU1NRh5vhc9MvKwoY3KyTHqGn8mE0cKmrqYHN6kK6y2qwrIJVngiCSCQp+iKQlklqdQOSyFBU1dSgZdik+qvhGUr2Z533ZHjHICdT7cbn5oH5foSu59DoWLTaXrK3nmxwoyrVKPvoqyrXifJMDgE9DKF0ffk5qqHWj7ywdvRYEQRBdAQU/RNLSUWVhpSxFVoZJdl/gqi0AQXo/cv2+xJqfNDMHr0KsseGNQ/jVohJsCnksVpRrxT2TC7DixY8AAGnmyN+yne1GrwVSeSYIIpmgTyQiaRGVhaX0dvzKwhJf7kpZCjX15sD9x2sb/dkaDy/gjzI1PwCweEYRAMhmd7L798RHlV/jR9/PxZyJV6PV7obZxOF8kwMrXvwIF1pcKBJVoCPI2PAsGxb4iHZFcxVZR68FQRBEV0AP4YmkpaPKwkpZCDX15nRLe4+vsn0ncdv4PBTnW8EyUFyt5XB5/CrRofaK+kBv7K3Bo5s+BssyeH1vNR56/p/45Svl/sBn4fTCiAOVwG70UnbZnNFpOkoqzwRBJBOU+SGSGp0gYNHUQtjdPBwuD0wGDma9ss6PUpaiodmhmMHolW7ECw+PBcMwYBgBZk6HRVMLUd/sVLRTrHnhBAFzJxbg3GhbUF3Q6h0H/YXUdocbi2cUtdXoeJBm5mDpoNJzYDd6KTpaQyRF+7UgnR+CIBIbCn6ILiNagniMICDDpEN2/wxNkupiliJUobk434qhg/rg6oG9sWXP4TD15omjc/Dx4W9w5WW9IADom2kBzzBgeR5pZk6x4Dk42yRg1bZyWfssJl+gk65n2wMTmcBHTVsnsBu9FB2pIVKCVJ4JgkgGKPghuoSuFsQLzVKYTXocP92An6z9AIBvVde07+bCwLFwe3kcOXUeDMPgi1MN2PleVbvNeVbMn1YIi94nePj63uqwgueVc6+DJaDmJVr1MWraOoumFvq70cutIou0hoggCKI7QI1NJaDGprElkkaiWumMj3mWDeupFWhP7uWZAICq2kbZIGLxjCJs3FUhe04Lp/kKiwOXnKeZ9eB0DD498i3e2FuDqwZmRRT82Tw8Fq35QHb/hiVjYeFY32qvXeGryCJd7UX3cWwh/8Ye8nHsocamBCFDogniKRUFH6qqw8TRvuXtSiKGNqdH8Zwcbg8MnE5yyfl9U4ZidOF3wDGI6DGRVm0dThAiqiEiCILo7tBqLyLuaPnSjjZiK4v6FhdsHj6o3YJaUbDLzasugVebg2N1YdkXwBc4bX77MM432xFpCjYSbR2xhqhfhgHpepYCH4IgUhrK/BBxJ96CeJ0tCk636OFyexXHqM3h8ngVl5zfNWFIxBkv0tYhCILoGJT5IeKO+KUthf9LO0poabgpFgVLMSzXin5ZFjQ0O2THiIXDSvvVMkN2hyfijFcyaOsoZdwIgiC6Csr8EHFHaal5tL+0tdYXLZxeKFkUvGB6IXQ8j2uu7IOCQX2weXd4M1RRfFBujoXTC/0aPnKkm/XQdSDmS2Rtna5e0UcQBCGHpuDnm2++iWjSSy+9tEPGEKlDvL60O1IUbLN7YAktChYEGAAsnO4bY3d40DPdALdXwIWLTr/9D8woQqtEYbHakvMWhwt9e1kgCIKsT+R0kaS0daKlodRRtCzDT4QAjSCI1ERT8DNu3DgwEaSrjx071iFjNm/ejP3792P79u1Bcz355JM4cuQIsrKycNddd2H27Nn+/TzPY8OGDXjzzTdx8eJFjBgxAitXrsTll1/eIRuI+BEPQbyOFAUrCQuKY8wGo2xWQ2oOluexYHohNklkhsTGpb+4/wa8UnZEck4GwEaNWZREyLgk2oo+giCIQDQFP0899ZQ/+GlqasKaNWswatQo3HLLLbBarbhw4QL+/ve/44MPPsDy5cs7ZMhrr72GdevWYfjw4f5tjY2NuPvuuzFu3Dg88cQT+Pzzz/HEE08gLS0N06ZNAwBs2rQJO3fuxDPPPINLLrkEq1evxrx58/DHP/4RBkN0ZPuJ2BCP7EQkRcGBGjzpZj3MEsvBBYaBmxfCHn8B7VkNUdMn9HXNrU5MLMnxFTc7PGGNS8812mTnnD+1EOeb7P7tvdIN+OENOWh1eGB3evz2MoKgmHGRsk3LefMsiwt2D75uqFf0jXg9Qy9jqPq1l/eND73eXZ2x6ioEhkGzw4tztQ0wGzmYOOUWLQRBdA5Nwc/UqVP9/164cCEmT56MX/7yl0FjJk6ciCeffBJ//etfcdttt2k24OzZs3j88cdRXl6OAQMGBO174403oNfrsWrVKnAch0GDBqG2thZbtmzBtGnT4HK58Morr2DJkiUYO3YsAOD5559HSUkJ3n//fUyYMEGzHUR8iVd2Qmt9kYdhJDV4AoUARZsnluQoZjXONNjQL9PsPw/xdXdPvBq/fGW/vK0y2w9V1eFcox3/b85IPPlKOZpbXfjl/Bvw8jtHwuydN6lA1ba+mWb/OWk570h8Ix575dyR/rEmgw5LZw1H2YengrSSQq93ImSsuoJUPW+C6Eoizjt/9NFHuOWWWyT3jR07FocOHYpovi+++AJ6vR5lZWUoKioK2nfw4EFce+214Lj2GO26667D6dOnUV9fj+PHj6O1tRWjRo3y78/IyMCQIUNw4MCBiOwg4oeWFVjRRCcIWDitCOsfHounF9yAFx4ei4XTivxfLDzLymrwbNxVCZ5lg2zWovlTcaIeNo+A+hYXzl2wI/eKTLAMZFeEFedZcby2UXbOFpsbm3ZVYtmdI7BoZnFY4CPae67Bpmhbi83tPyct5x2pb0SO1zb6z7V0zCCUfXgqbI7A6x2re4JnWbS4eZxtdqLV7VPYTiTi/V4gCMJHxKu9MjMzUVlZiRtuuCFs36effop+/fpFNN+4ceMwbtw4yX1nzpxBXl5e0La+ffsCAL799lucOXMGANC/f/+wMeK+jsJFsR5BlNvWKrvd3Wl2qNWD8MgwRbb0ScnHTq+ATSGtJ8Rf1kYdgwt2eYVnUb2ZZRj/6w165evYN9OCv3x8GhverPBvK8q14nvDL8ekMTn+eQP3zZtUgId/vU92ToOeRUVNHbxeAb17mmTtVfuuFOexOT1hdgQSyZhA34iU7TuJpbN8j7AHZ2fKqmOL1xtA1O8Jh1eQzViZdIkRVMTivUDIQ5/FsSdZfBxx8DNjxgxs3LgRDocDY8eORWZmJurr6/Huu+/i97//PR577LGoGedwOMLqdoxGIwDA6XTCbvfVQEiNaWpq6vBxWZZBZmZah18vR0aGOepzJiPnahsU9ztcHmT3z+jQ3KE+vmhz4fkdB2V/WS+dNRy2RofinDaHB1zAl6WY1ZDsBZZnxYmvL0hmSl56uxJjiy+TrPs58dUFXDUwS7I2qSi3PSvUaneDV3gScry2UbbGaVieFb16GLF89ggIgu8+Nxl0ssvwfbU7yo9dWu0e6LnwQMLh8mL1joMoHTMIFpOyAKTDpa5vFOk9cb7Zjo2vH5LNWD30v8XonQDvx1i+Fwh56LM49iS6jyMOfubPn4+LFy9i27Zt2LJlCwBAEASYTCb85Cc/we233x4140wmE1wuV9A2p9MJALBYLDCZTAAAl8vl/7c4xmzuuON5XkBzs/Ljg0jQ6VhkZJjR3GyH10ttBUwG5dvOZODQ2BhZY1k5Hzc7vJKBAOALgBqaHJpWhLEBKRUxq8EywdmK4jwr7pk8FD9d90/Z482ZWICte8JrdRZNL0Rmhsk/LnBfaUkOVu84CMCnJO1ViH7K9p3Eup+Oxea3Q2qc8qyY8b08PLbpI3+wU5xvxdJZw7F6x0HJAEiL0naaOdg3gThcXryxtxqji5SlL9TuB3FMJPdEs0o2r7nFBTYB3ouxeC8Q8tBncezpSh9nZJhj19iUYRgsW7YMCxYswOeff46mpiZkZmaiuLgYFoslYmOVuOSSS3Du3LmgbeLf/fr1g8fj8W+74oorgsbk5+d36tix6Ebr9fLUSRiAWc9KZidMBh3mTSoAAJy54OjQap9QH9scysrKNocbWRkmRQ0eS9sqKtFmMauxZNZwTBuXixabG1kZRtSeuYj/nmtRFDQ812hDRU1d2Oqnc412eHgBd9w6BNO+60aLzQ2DnsXx2kZ/cFKUa4XZyMHrFWTtzc/Ogp5lsHBaEc402IJsW7Xt0yDbDlXVged9NTmhj6XE8xb/rdU3oRTn+8Yor7hj/f9WGhPJe0dNUdtm9yBd5fFlPJB7LwAdO29CG/RZHHsS3ccdfvenpaXBarUiIyMDRUVFYRmaaDBixAh89tln8HrbP7A//fRTDBw4EL1798bgwYORnp6O8vJy//7m5mYcPXoUI0aMiLo9RHSQastgMuiwcu51+KjiGyxa8w88smE/Fq35ABt2V8LbwaJPL8PApfLms5g4vzpzaDFyoHpzqM0OlxdrdhwEyzB4r/w0WuxubNxVEfR4TPLc0b76qaq2Eau2leOZVw/g/730Mf744Uk0X3QiM8OIv35yGqu2leONvdX+wGdhm9q0gREU7WV4HizPo2+mGX/9pN02qaCsoqYOhVf2kT3vjvhGRKyrYnletQ1HtFt1qPVas5gTQ9w+GVqUEER3hBHUHupLsGfPHjz33HOoq6sDwzB488038cILL0Cv1+O5557rsL7O8uXL8fXXX/tFDs+fP49bbrkF48aNw7x581BZWYmf//zneOKJJzBlyhQAvqXtf/jDH/DUU0/hO9/5DlavXo3//ve/+NOf/gS9XvkDUA6vl0dDQ/RSzRzHIjMzDY2NrQkdCcebQE2XjDQDNr99WLL4szjfqqoIHOpjgWGw4a1K5F6RiaraRtnMxeIZ7bo3ot6NpMKzhM0WEweLXgcBQH2zE8s27sfM8XmyxyvOsyL3ikwAkB+Tb8W8iQXQ61k4XN4wpehAtNjLsyzqmxxYvlF+if2zi0bDZORU57FJKFcr+SY0a6dFwydaOj88y+KFkGJnkdDrngj4zpuHw+WBycDBrCedn1hAn8Wxpyt9nJWVpvmxV8SZn7/85S9YtmwZrrvuOqxduxZ82wfI97//ffzzn//Epk2bIp1Slt69e2Pr1q348ssvMWXKFGzYsAGPPPKIP/ABgAceeADTp0/HihUr8OMf/xg6nQ7btm3rcOBDxA9R4blPugEeL6+qCBwJosJw2b6TKC3JCctcFOf5ammc7vZiW1G9uW+GAel6VvLLMdBmC8cCbVmLtLZMgni84rzwTMm8SQUo23cSg7MzZetRDlXVQYAAThCQrmfRT8EWLfayPI90lSyHxcRpmqeXmUPBoN7oZQ4PfKR8E/rlrbZf6xgtaMlYJRKMICDDpEN+dhYyTKkh7EgQXUnEud+XXnoJP/rRj/Dzn/886HHUtGnT0NDQgDfeeAMPPvhgh4x55plnwrYVFhbi9ddfl32NTqfD0qVLsXTp0g4dM1no7sq3aj24LtrcEBSUhUPVccX5AlcdTRqTA5ebh0HPIiPNiBUvfYRV946Cua29hlalY6kxgUrSq3ccxC/vvwETS9qPd7y2ER9VfoP87CxVnSCbwwNzD6Pm6610bwgMA06nVleii0prkVDfWIwcoNCrLJbwLAuX24P5U4fC5eEVs1oEQaQeEQc/X375JZYtWya5r6ioCC+88EKnjSKCSQUFWLWVRXanB49u+khVWRjw+WbOxAL/3+Kqo0BWzh0Jh8vrP240lI7nT23v6t7c6sSqbeVBxxRrfYwGZd0Ws0mPDVHo4yX2Azt2ugFLZw0Hzwdr9kSzriTUN2IN15t/q477fat0nSjwIQgC6MBjr969e+PkyZOS+06ePInevXt32iiinVRRgBUzJ1IE6tyoKQsDPt9U1TaozidmPaKldPzyO0eQn52JlXNHIiPNGPboS8xCsSxkbSvOt6KqtkHT9Va7Nz4/UY9D1e2r00TbfjZ3JDYs+S4WRSkIkfJN6ZhBeH1vddzvWy3XiSAIIuJPgltvvRXr16/Hu+++61/hxTAMjhw5gk2bNuHmm2+OupGpjJbu2N0BuVUvos5N2b72gFtUFlbyzdY9R3DfFPn5ar9t8mc9bE51hWctYw4cO4s39lZj1bZyrHjpI0wYHV5rlJ+dBaeLx0SJfcX5Vtw/pRBb9xyRPE7o9Va7N7Iy2rWvxOzXqm3l+MW2cgBC1B4/SflGra4pVvetlutEEAQR8WOvBx98ENXV1XjwwQfBtv2KuuOOO2Cz2TB8+HD85Cc/ibqRqYxaLYzN4YElvXt0r9cJAhZNLYTd7cVFmxt2pydI5yYQm90DpR/xDpcXF1ud/vlsDg9MRp8gH8MIuLe0wP/lr6YJ02r3AFBTOg6eI7TWyGzUw2zS4ePKb/GrV31950LrkKy9LGhudSrqBAVeb7V7Q6m2KJr3jZT/tNQ1xeK+1XIt0/Xd4/1CEETHiTj4MRgM2Lp1Kz766CN88sknaGpqQo8ePXDttdfixhtvBNNNHsMkClrUh7sT4mof3qzHo5s+kh1nMXNgVW41c5sAn4VjQ75omaACXzVNmDQNmjBScwTWGq1/eCyAttVgAeKGAHDqmyaU7TuJZxeXwGxU0acJaBWhdu2VepAFvrazxfRS567W/yxW9200riVBEN2fDn8S3HDDDbjhhhvgdDqh1+v9WSAiugSuIgolmit1Eg2Lkeu0srBW32g5lgBlpWOzFnsBrJx7HV7fWx1UgF2Ua8XKudchzcjB7eUV5wkUUVS7NxqapXuWBfomGsX0Uv5T7H8Ww/tWy7UEFT0TRMrTIZHDU6dOYf369fj444/R0tKCN998E7t27UJOTg7uuOOOWNgZVxJN5NDLMNi0O6RXUzdb7SWFh2HCildDV2DxDIPPT9QjK8Pkf3zU0OzAsCv7gI3AN2rHarS7kGY24sW3wscsmFYIu8uJNJMJZ9taSojL27/8ugn3TC4AJwh+4UVZIcdpRWi46EBzqxtlH54KO05pSQ4y0vTondaexZK6N0Ze3Q/zJg2Fw+XFuUYbGPiCkbJ9J3HVwCz/faNqT8hKMKX7ONR/cqu9inKtuG18Hi7pZYpZ0K7lvklESIAv9pCPY0+yiBxGnPk5duwYbr/9dvTu3RsTJkzA73//ewA+vZ2nnnoK6enpQSKEROcJrIXprjo/UnCCgMUzihRVjAUAH1V8E5a5KApp2aB6LADzSq+GAF/dSJpZDwbtbxCjnsPjWz7GI7NHQK+72j/G7eXx5G/K8djdI7FpV0WYHfOntn/hqhUof9tgQ890I362+ZOweiCx9mnNAyVBrwu9N9LMHPScTtKWdT8dCwMDf9ChpZjewmn8IJG4Vp8e+RaDB2aF6R2t2vYp1jxQonnuSAm0RUmRmiCI1CXi4OdXv/oVCgoK8MorrwAAdu7cCQBYsWIFnE4nXn31VQp+YkBY7UoMA59oCCpqmUOLqKCoYuwvUg0MfFSWequ1xAic5zd/Poqxw69A754m8ALA8wLqmxz44LP/4O5bh8Cs1+FSazoeXrcv7PWLZhRh826fns7M8Xn+eh6DnkXliXpcc2WftqBKuUC5xebGmfOtuGpgVpguERD+uCjUf1kZJjCCIJnNOVRVh81vV2LhtCJ/RiySYnqeZXHB7sHXDfXy10oQYOBYCCYdWu1u7HyvStPcsUDpvklERP9+03geaWYOZgMFawQRSyIOfj7//HOsXbsWHMcFKTwDvmXwf/rTn6JmHBF/olEDomUOLaKCakQrc+H0evGjHwzGy+8cCbPnnskFcHq9MLFskIhh4Jj87Cxs3XMES2cNR9mHp8LqeQoG9cGOvxzFuBFXKNph0LPY+ocjWPfTsZKP1+YHBHNy/ps3qUDRJ2cabOiXaYZOEDQX02u5VjzD4NwFB17fW42KmjqsnDtS09xEdN4LBEFERsR5Z6PRCIdDupDywoULHW5qSnQ90RBU1DJHtITotGQutMAyurDAR7Tn5XeOgGV0EBgG2/a0ixgunz0CK+eORH52JuoabSgdMyisTkecY/PuSowdfoW/CFgKUXjR4fLi7HkbJpbk4PmHbsST82/AuoduxMSSHLz6l6Oq/jvXYFM81xab238dlIQlIxGAFNrqrsTAB4DiufozWASJMhJEFxHxz68bbrgB69evxzXXXAOr1ffhxjAMWltb8corr+D666+PupFEfIhGJkXLHLwAydU4QLsQXbrKUmkAMBmVb1+1/SIuj1fRHpfHCw8DlB89i/KjZ8PGrJw7EoOzMyUfVQHAoeo6zP7hEJTtO4mls4aDZRBWBFxakoPVOw7CZNChTy8TtkhkoUpLcuDweOHl5f2nFp8a9GzQtVwwtVC2mJ4RBLS6lH1jc3rAMkBWhilonHiu4jipuQltooxa3gsEQURGxMHP0qVLcdttt+Hmm2/G4MGDwTAMnnnmGXz55ZcQBAFr166NhZ1EHIiGoKKWOby8mmCgNiE6BsrLzxlo05xSE8ZTE1Q8XtuI/OxMxTnsDo9f+HDJrOGYNi43aFWYKOS4aEYRXt4jnYUCgHsmFaDV7lK0RW75e2CbEPFaqhXTaxEN1LHhooahIo/pJj0y0g3weAU0XnSmTNG+GlruPRJlJIjoE/FPiv79+2PPnj248847IQgCrrjiCthsNkyYMAG7d+/G5ZdfHgs7iTgQDUFFLXNETYiOAUpLwttEiFkSMNq+WNXssZg5xfMq23cSfTMtinOY217vcHmxZsdBOF1e/PWT01i1rRxv7K2Gw+VFcb6vfuhzmcxZRU0deEFQtLds30nFth5im5DA8xGL6fukG2Dh2KCARMu1spg4SVFDUeTx2e0HkdHDiM1vH8aiNf/AIxv2Y9GaD7BhdyW8KS6KquXeIwgi+nTonZWZmYmHHnoo2rYQXUw0BBW1zCEwTFSE6MwGDu99chr52Zlhy8Lf++Q07p0yVNM8nRVUvGpgFswGHYrzrJKP/IpyrTjf1F4nJ2ZF5pYW4PYf5KOh2Yl0ix6XZFlkhQn9r3V6kJVhkrU3PzsLepbBwmlFOBOiOSRml6ItAMkIAhqaHbLj5k0qwObdnV+V1x0hUUaC6Bo69DC5vr4ea9euxY9+9CPccsstmDVrFjZu3Ijm5uZo20fEEbnmopHUaWiZg+V5LJxeKJmxWTi9UPMSX5bnMW9yAapqG7FqWzmeefUAVm0rR1VtI+ZNLohoHjV71M6L5XnMnyY/xwef/Sdoe352FrIyTFi55RO8V34a/TLNYHleU+ZMzV6G58HyPPplmvFeeXh2KZKaG62+GXZlH9w2Pk+yWWt+dlZKNOftCNF6LxAEERkRKzwfP34cs2fPhtPpRHFxMXr37o36+nocOnQImZmZ+P3vf49LL700VvbGhURTeI438df56ZgQncAwKNt/ChNGD4Ld1a53YzJw+NNHJ1F6Q05Edov2yAkqajkvuXMKfp0enI7BRZsLZmPwHALDYENIAbJIqOpyNOyN1DeK14ph4OIFON1eOJxepJn1MOtZnL/oxCMb9svO/eyi0ejTTZrzdhT/tWy7TiTKGBuS7bM4GUkWheeIg5+77roLjY2N2Lp1q3+1FwCcPXsW8+bNQ05ODn79619HZnGCkerBT7LgBg+G0cm2MhAEL/QdS252KYnazqSj97HNw2PRmg9k929YMjZmas/JBH1OxB7ycexJluAn4pqfiooKrFmzJijwAYB+/fph0aJFWLFiRaRTEklG9LMJ8grPSrAshw0h4nBAu0bKohlF/noJLceKhiq13H5xbrvTgx4WI9xeL1ptvhYZoXPoBAELpxX550kz62E2cBAEHjaPAJvDrdnv0bpWAsOg2eHFudoGmI0cTCGF0UpEuzlvtM6JIIjUJeLgJzMzExcvXpTc5/V6YTKZOm0UkbhEQwEa6LyqrZdhYFfRSLG3aaRoOVY0VKml9g/LtWLB9EJs23MEFSfqsXTWcOx4t0rRltB55JqEqvk9Wteqs/OI9VJKekLxsoUgCALowGOvt956C88//7xf6FDk1KlTmD9/PubMmYPbbrst6obGE3rsJU2kXcDl4FkWL0hkbABfILB4RpFiBki0Y+b4PDy66SPZcU8vGA1rL5PqsUL7YZkMOpSOGYTB2ZkQAPTLtMBk0OGVP36By/r1COrdJXZuv2/KUMXjiDpAVbWNirYACJtn5vg82dfJ+T1a10puHpNBh3mTCjA4O0tzJqqzGZtonVOi0l0+JxIZ8nHs6baPvd555x04nU7cfvvtuOyyy9CvXz80Njbi9OnT4HkeW7ZswZYtWwD4lJ/37t0b6SGIBCVavbQ6q2or2nH3xKsVj5Nm5jQdK1Bx2WTQSfboGnl1P9xx6xC8/M6RsN5dpSU5sLuUjzNpTA4AyKpAi7aI/w5EUT1axu/RulZS8wT6aMObFf7tahmYzjbnjWYXeoIgUpuIg5/LLrsMl112WdC2yy+/HIWFhVEzikhMoqEADUSmaiuVLRDtMOp1qhopdRfsKrb4FIrFbM91BZfg1b8cC5szu39P2f5fADCvVDkQC1VAlsJm90BAeECg9lopv0frWknNI9fHLNa6PdE6J4IgiIiDn6effhotLS1obW1Fv3794HK5sH37dnz77be46aabcO2118bCTiIBiIYCNKBd1VauvmPOxAIAwJodB7H0juGyq71YntekUKxj4c9kDM7OlFRYVsq+VNTUSYQswUgpIEvZIjWP2mul/B6tayU1riOZqGgQrXMiCIKI+BOqoqIC3/3ud7Fjxw4AwJNPPok1a9agrKwMd911F/72t79F3UgiMdDSBVwLoqqtFGLGRqk7fFVtA4rzraj5bxNWbz+IBdMKsf7hsXh6wQ1Y//BYLJ5R5C8e1nIso57zZzLksixq2Re7w4OfzRmJlXNHYub4PJgM7b4Qe2rxAhRtMRs5SXs70iE9WtdKah4tmahYEK1zIgiCiDj4WbduHQYNGoSZM2fCbrdjz549+PGPf4x//etfmD59Ol566aVY2EkkANFQgAa0qdoq1Xds3XPE37+q5r9NuO+Zv+GB5z7AG3+rhtmoCyqW1nIsR0C9jlyWRS370upw4xevlPsVppfOGg6TQYdhbcep/bYJHMso9iJzuj2S9pbtO4nbxudF5PdoXSupeTqSiYoG0TongiCIDun8PP/887j88suxd+9eOJ1OTJo0CQBw6623oqysLOpGEomDWhdwrXCCgMUzimQVipWyBw6XFxdbnSF26JHV0wSP0w1PSNf4wGNJKRQHHkvMsoTWs8htB4K7pQO+x2AsC6x76EZwOhYsz+Pe0gLUNzvx+Muf+DudB64YW73jIFbdOwrmdIOkb4x6He6fMhTuCHR+tF4rNe2i9nl8gWK62RBV3Z5IiNb9RxBEahNx8MOyLIxGIwDgww8/REZGhr/YuaWlhXR+EpzOCgtGE5bnka5n/cXNgQ0c1bIH5raGmuLqIY5j0cNiQKNTuZgaEODvI86yaHF6YDDo/AXPQwZkoWTYd/BK2ZGgzNOXXzfhnskFYUXPRblWzL71KlxsdWH57BH+YKZs30l4vDwMbQdjBAFpZs7f6VwKqXMW2uzVsQxYXoCeY/xFvTzDoNXlVRVu5AXAywsQBMDNA7zAw6jzBQwd0Vvy8jwWTCvC1j2HUf7FWf92tQxMtO69zq4aS0Q6IyJJEETkRBz8FBQU4M0334TJZMK7776LsWPHgmEYnD9/Hi+//DIKCgpiYScRBTorLAjET2QumqrAcud935ShWLn5Y0wck4OVc6/D63ur8cbean8gNG1cLnQsA4Neh/IvzmDFix/hpusG+LM2/XpbIAgCfv9eFQ4cOxs099JZw2F3emDh2lcfaT0nLdepM2PumVyA3/zlKO784dVh+4F2hWxRb0nums+fWojZt16FVrt6BiYa9153hYQbCSL+RCxy+MUXX2DevHlobGxEVlYWdu7ciQEDBmDUqFHgeR7btm1L+gCoO4ocdlZYEIi/yFwkPa7kfKx23hNLcqBjgLIPT8me1+ABWfj9e1Vh+9Y+OAa/+3P4sniTQYe5pQUYPCAL9sBHVAyDM412vL63OiwIuG18HvplmiEgXOQwcJycEGKkYyaW5MBk0GHFSx+H7RdZ//BYpBl0nb7m0bj3uivdXbgx0UiEz+LuTrcVObz66qvxf//3fzh58iRyc3NhsVgAAD//+c9xzTXXhPX8IhKDzgoLAvEXmYtGfYfaed81YQgAKJ7XxNE5kvs8Hl4y8BGXzW/cFSwAeN+UQjy7/UBQ9kh8TLZq26d4dnGJ3y45e+WEECMdc9eEITh73ia5X6TVHiwAGYrWax6Ne6+7QsKNBNE1dGhZRnp6OoqKioK2/eAHP4iKQURsiERYUHZMF4jMdba+Q+287Q6PqkaP3NLuxovOsG1KAoCb367ETdcNkK35kRM5DKTV7gEgBLXgCAyiyvad1DSP3eFRXbWVZuaics2jce91V0i4kSC6BlIFSxG0CgsqjklCkTm18zZrsDndIj2H1NxqAoByWSRA2zVIM3NgGEi24BBrjdIsnGqMaDZx+LymTrYGSdRAYhmJFwfarMF/0bj3uivJ+J4iiO4A5VNTBC1if2oko8ic2nmfb3LgfJMDw2TGDMu1ol+WRVJbpl+WJex1agKAckFJUa4VLXYXzBquk9nASWaXKmrqUPbhKZgN0mKJgbbzgoBv6i5i/lRlDaRoXPNo3HvdlWR8TxFEdyDigudUoDsWPANtK25kWkFEtNpLYxFyPFHysdx53zdlKB7btB9Ggw5P3Hs9XnxL3jdyHclD5145dyRWbSuXtfOFJd/F1j3hy+UXTi/EIy98iIGXZmD+tCLF69Tq5rH4uQ/kj/HwWKTpWXgYBpt2VeLzkHlKS3Lw3ienMW9yAThBCFiCHq6BBETnmkfj3uuuJOp7qjuSKJ/F3ZlkKXim4EeC7hr8AO1aK1LCglqRCwRigZZj+cb4BPjkNFIkzxtAi9MDBgx2/PUosi/tGVZDU/ttE+4tLVA8v8C5e/UwYPM7h2WXsy+aWgiBYcJsaWi245ENH/nG5fXBgunDYG/TxElr08TRtV2ns81OPLrpI1l7nlkwGn0zDH7bzjTY0GJzB9UFOVzeiFYTBfrYZOBg1keuQxONe6+7Eg3/Euok0mdxdyVZgp+EzzeXl5dj9uzZkvsuu+wy/O1vf8OLL76IdevWhe2vqgpfnpzqKAkLaiVeInNa9E+0aqTInXe6noXNw6P86FmUH23X6gnkjluuUlxxEzr3gqmFsr/kGUEAIwhhtpiM7XUxh6rrcc9Te4OOsf7hsf4VUZE0hj3bYJNdzh7JaiJGEJBh0iG7f0aHP9Sice91V6LhX4IgtJPwwU9xcTH2798ftO3zzz/H4sWLsWDBAgC+IGfSpElYunRpV5hISNDZ7JBSY9NNuyuxaKpPVVxtjHhMMetgd7jRM90It1fwa/AADHqlG3DTdQOkV085PDD3MMLh8UIQGPCCALvDl70wG4KzFwLDwOXxYu7EAvATBDic2s4/zchh4fQi9O5pgsfLw5ppgVGvQ1OLExaTL0siBgtiDY2cbo7FyEEQBGx6qxI/uG6Aop9pNRFBEKlIwgc/BoMhSDvIZrPh6aefxpQpUzBt2jQAQHV1NWbOnEkaQwlCNBRrteifANo0aER14araBiydNRw73w8WGSzOt+KX82/A7/50VHL1lMWsx5Y9R3DTdQPCCo2H5VqxoK1uRem8VYUABQEfV34T9FqxPueJrZ8iPzvLXx8jNj+Vq6FheR42D49D1XWYWCK/ugyg1UQEQaQmSbfa66WXXoLdbseyZcsAAC6XC6dPn0ZOjvKHPBEf1DI2AqOydroNLfonWsbwLOsPEpQ0eF5+5wgGfqdn0PaKmjr88cNT0LEMbh3tU0TOz86EydC+AufztlYQPMt2+LzlfCau3iodM8jfcoJnfW9Zsfnp+ofH4pkFo7H+4bFYPKPIXzws+kZsyCpFtFcTCQwDm4dHfYsLNg+v+VoTBEHEm6T62dfQ0IDf/va3ePjhh9GrVy8AwIkTJ+D1evHee+/hySefhNPpxIgRI7B06VL07du3w8fioqlU3FaApbUQK5lpdqhlbHhkmNS/cE0qy59NRg6syperxaQPUhdW0uCpqKnDpDHhAfTnNXU4e96Gn2/9FEB7Nmj1joNwuLz+19qcng6ft5LPAu0Sj9MrQBfHYOaC/kZbcGQx+eqCyvadxNJZw/2vFynOt2LBtELoWQaAtiBF6T52egXZrJdRR0GQFlLpc6KrIB/HnmTxcVIFPzt37kSPHj1w2223+bdVV/u+zMxmM37961/j/PnzWLt2LWbPno133nmnQ13mWZZBZmZa1OwWycgwR33ORONcbYPifofLg+z+GarzNDmaFetaGIZBVk+TYqPQrJ4m1H7b7N+mpsFjMnBYOXdk0IoowHc/iIj2lI4ZFBRI+ZSX5VE6bzWfBdptc3gw8NLgDNVFmwtNLU7/yrCe6UZkGfV+36zecRClYwb5W2qkW/S4rF86enfwfgy9jy/aXHh+x0HZrNfSWcPRw0J1RVpJhc+JroZ8HHsS3cdJFfy88847mDx5clBAM3nyZIwZMwZZWVn+bbm5uRgzZgz+/ve/49Zbb434ODwvoLlZue9RJOh0LDIyzGhutsPr7d6rOEwGlYyNgUNjoxYZAQGlJe0ZDxGxDgYQ4HG65VdWTSuEx+kOWhml1s7B4fJg1bbysOxOj7TgL26pLFGaikqx0nmr+SzQbospeB6ljMvCqYXY2OYbMVATfcN6eY3XoR25+7jZ4ZUMQAFfANTQ5IDHqdzigkitz4mugnwce7rSxxkZ5u6z1F3k+PHj+OqrrzBx4sSwfYGBDwD07dsXvXr1wpkzZzp8vFgsNfV6+W6xhFVpJZdZzypmY8x6VpMPzAYO735yGvnZmWFNQN/95DTumzIUHg8PHdDW/DREI4UX4OEFWIwchuVa8XlNnb/+RS6bdLy2EQBQVduAhqJLsereUbhoc0PHMJg5Pi8oGxSYjRFXWHX0vJV8VpRrxYn/XsDM8XkovLIPHE4Pmhn4a3XUVrtJNoZt801HCb2PbQ6V3l0ONywcPfrSSnf5nEhkyMexJ9F9nDTBz8GDB9G7d28MHjw4aPvzzz+Pd999F++++y6YthqQ//73v2hsbMSVV17ZFaZ2a9RWcjGCoKpzowWW53HP5AJs3FUZtgJLXNEkoqSRwvI8FrStjJKrfxGzSat3HAzpyh48JjAbJGZjxNVeLM93+LzlfFaUa8XkGwdBEATs2Rfcx6s434o5Ews0rXaLtSYT9aciCCLZSBqF58ceewzffvstfvOb3wRtP3LkCH70ox9h2rRpuOuuu1BfX4+nnnoKJpMJO3fu9AdEkdCdFZ47g8Aw2CCRaQAQphYcic6P0litqsByPhYYBlv2HPGrN3u8Avr0MsHj4eHxCnC4PEE1PjPH56GqtlE2O5SfnYmarxoxd2IBBEGA2Riu89NRfSNR5bfV4YbZyMHAsfB4BWz/i7T69FUDsvBEWyG2FM8uGo0+UdLw8V8Hh68FRqC+kcAw2BASuIlEoiKd6nSXz4lEhnwce0jhOcrU1dX5V3gFUlBQgJdffhm//vWvMXXqVBgMBnzve9/DsmXLOhT4EPJo0d4R1YK1qkCrZZI6qwpsd3tl1Zul+nCprQib8b1cjB9xeduScibMns6oX/MAtpUdCfLFU/Ov9+sLhWbAbiz+DkwGnf9RXCjRyriIOklyfbmile0jCIKIF0kT/Lz88suy+0aNGoVRo0bF0ZrUxObwwGTQoXTMIFklZPFLX0sGhGdZbNpVERZQHfuyARUn6jE4O8tXL6KSQeFZFhfsHnzdUI/0tj5YYlZCyeaa/14Iq7VRWxGm51g4XF602t1hxxJtsbX15JLaL0eg1k+/LDMemT0Ceh2LVrsbfXqZMLEkB7XfNuFCiwuALxB7ec8RzJtUgA1vVoTNJ2r48G19xJTsUcu8hQY+4vE37arEohlFYHkeOkGQri+iwIcgiAQkaYIfoutJM3P+ehgpJeS0gJ5SagrPHobBuQZbWOATWHMT+KUupxCtlpVQsnnyjYMwtvgyvPR2e8ZCbUWY28Nj2YYPJI+lZosSYlatX5ZZtsP8L+ffgBUvfuQPgD6vrsPc0oKwAE70FQ9gg4o9atfKHqCTFMrnNXWwOz1I00eW7SMIguhqEluFiEgojHpOUiFZVCI26jlNCs+i6nKLLXyVkJIKc6hScqB6c6g9ohqyks3v/PMkOJbBwmlF+OX912P57BHo1cOIYXnSishFuVZUnqiXPZaaLYF2t7h5nG12otXNg2dZOFw+naBHZo8IC3zEeV5+5wgWzSwO2m53uLFoaiE2LBmLZxeNxoYlY7FoaiFYhsEGFXu0XCstKtoEQRDJBmV+CM04XPJZgIqaOv8XuFpdEC/IKyor1dyE1hXZFLISohoyy0BxjN3lAS8Av3ylHKVjBsFk0GHepAIcP92ArAyT/zFZQ7MDvXua8atXD8geK/Q4gY/b6psc6GHhoOd0ktmhBdML0SvdAL2OVbT3rglDgrZZTJxkxqXF5dXkG7VrZVapGzKbuE43sY0GiWADQRDJAwU/hGaikQWwOTzwtmnMSOnuqNXcBNYVtdqV9WVa7R6oFf7bHB4IguB/NFa27yQeuWM49ld8g89DHgVNHC3fPy7UlsDHd2IwJ7eSTKyfWTZ7uOo52QN87O/NJfElHy3fWEx6RW0kk14XtgIw0ia2nSUajXQJgkgt6LEXoRktei5axoiqy2X7TqK0JCeo8aZazU3g/IHqzVKkmbXZ0zPd6H80VjpmEPbsOxUU+AC+TMiefb4mo9LHCrZF6vHd4OxMxWxMmtmgek5iJkb8cnd4vJKNRKPlG1FpO7Q5alGuFbNvvSpsdRoQeRPbzqD26M7mEajJKkEQYVDmh9CMWa9TUTHW+f+tNEZgGH82IbTvVO+eZvVjtP2atxg5xayExeh7JKQ2n83Nd6r5aVGuFWYjhxFX9cOBY2dl51HNatk96N3LpHhOZgOHDUvGwmjgsPWdw0FL+AOzHdHyjcAweE9Gadvp8khKCADhjyhjhZr8wrnRNqzaVk6ZIIIggqDMD6EZUc+lOD84CxCo56JlDMvzWDS9EAunF+GRO4bj6pzeyMowoW+WGXqOwXyV1wfaM29SAX42ZyRWzh2JmePzYDLoglSgtdhjD2jPoBaghH53iurQW/ccxr1ThmLh9CKsnDsSRol+XapZLTOHFrsDC6cXSmZaFk4vhN3lhFmvw6ZdFWGBR2DGheV5xXm0+oblecybXICq2kas2laOZ149gFXbylFV26gqJhaPYmi1Y4jXM57ZKIIgEh/K/BARoUXPRavmy8eV3wT9ahcDiX989h8smFYEp8sj+3q5Oo91Px0LPcuACdCyUbMn8PGPWoDSw6LHyrkjgzIgYsuLWbcM8Z/Tyrkjw16r1lvMZNDB5QZWbz+IJbOGw+n2+ju1G/U6rN5+ED/5UbFmsUlOELB4RlGbzo9PmTlUIVvLtQqcRxxjMXL+Anc54tHWQu0YgdczXtkogiASHwp+iIjplJ4Lw8ADBtv2HEbuFZmYWBLetHTgd3pi01sVWDy1ECYDB5vTg3NNjnaRPkGQFQR0ub3gjBxCf98r2Rz4OE8pQCnOt+Lg8XOyj8XqGm3+c8pIM6I4zxoUpCj1FlswrRAXLjpgMRnwg1ED8JO1H4QpN4uPos5fdGoWm+ysQrYIy/PoZeYw8NKeftl6TY9BA/zcUQFIJZRsCGxWKxKpEGd3JFXPmyACoeCHiDpyWZn5UwvR0OQAGMi2bCgtyYGOZVC27yRcAvDirvBl4fOnFeLY6QZFQUAtwoIijCBg/lT15qf3TSnEg2s/kJ0ns4cJVbWNeGNvtX+1l7isHwAcLi/e/eQ07p1cALeXh93hQZpZjxa7C8s2fOgXLyzOt2Ll3Ouwatun/gAo8FGUVrFJLXRmpVQkbS06IwDZERsCm9UGImaKUnWFWKqeN0GEkjSNTeMJNTbtOIrNT/OsuL7wUgwekIWte47IPv6545ar8K+jZ1D9n8awVVfiPLlXZGJkwSV49c/HZOdZ3NZ6QQ2eZbH57cMY+J2eGD64L1odHvRMN8Dj4dF40Qk958uqXJJlwb7Pv5a2Kd+K64deio272lWpxexM4ZV9wOlY2BzuoCaqC6cX4aPKb2Tnu2/yUDS3uiRbTrwg0XLCZNBhbmkBBg/Igl1DW5BIGtUCys1jlTIJcvYCkV0nJQJtcHl4VJ6o9/s59JwARHTe8SLWnxORXu/uSCp9FncV1NiUSEkU61Gq6zCxJAeCIKgK+SmKHbbNoyYIaHN6kK5SwwP4xBIPHDuLA8fOYnB2ZlizUxGTQYfnfjIGW945oikr5HB58cbearyxtxrPP3Qjlm/cH7S/d0+TZOAD+OpTPF6+vSt7wJeSlNhkoK5QYACm9Ks+kka1Sqg9BtUiRqnlOmm1wcswqPmqMSzwEbNRNg8flfNONqJ1vQmiO0DBDxFVtKy+URtzsdUFtd+fArQJ+flrXRTHaVvt5XB58XVdq+Sy76aLDtnu6oDvnEKJRNAxdHsoam1BpH7VaxGtlDp+pKhdJ5vG66QVtSLueJ13opGq500QUlDwQ0QVLatv1MbodAwyMyyKY/pmWqD2xFZr7UugIKDaai9Ox0hmpEYXXar4Oo83PNCJRNBRbXskbUHU5te6XytqgouWCGqUtKKUjYrXeScaqXreBCEF5TiJqCKuvpGiOM+K800O6HQMhuXKjMm3ol+mBWaDDiOu6oeZ4/Owcu5ILJ89wq/lM+KqfjAbdH5NHyl8S8e1fZiLgoBA+3J0uTlDVw+J2y1GTvachsm87nyTQ7aJaqBoZChSPtaSRdIyj5bjR0qgf0MRfRdP4nXeiUaqnjdBSEHBDxFVlITz5k8rxOV90/H2P05gvowA3/ypPgE+p8eDOycMkRTXu3PCEDg9Hri9XsyfJj3PgmmFcHu1iewFCgJKtdwAfAHMgmmF+PLrprBjiaKBCyTOaVhb09Lab8Nf16eXWfJYUqulApHycUeySFpEDqOBFsHFeBKv8040UvW8CUIKWu0lAa326jyyK4AYBi4e8AoeGDg97DICfDaPgJcVVoTNKy2A2ajD9r8eQ+mNg/w6P2lmPdxeHmX/PIk7brkqoi9WUYfG3rbay+0V/KumTAYObq8HDHRwebyw2T2wSIgGinOE7g/2hx6cjsFFm28ll1HvEwyMVHclcM6MNAM2v3NYVnNHaSWPFt0X3xgeDpcHZiMHE8dG/GUp55uuItH0buL1OZFo5x1PUvGzON4ky2ovCn4koOCna/EyDFodHjz4/D9lx6x/eCzS9axPP2ZX53R+ugtehpHV3OmMhgtpw8QH+pyIPeTj2JMswQ9VuKUY0VDZ1TKH3K9LcbvT7UFGmqkt8+MOU2+ePPZKRRscTt8KoeAWDr55TEYOrQ4HOLb9uFps7sgYi5EDBCEsq9PU4oTF1PHjKBHoW7ORA8MwYBgBZk4XtsrJZODgdPuya3K/8pXsERgGv/vzUfxwdA5m/3AIbA4P0kwc6psc+N1fjuLuW4dozhokWsYhForT3YVEu1YEEW0o+EkhoqGyq2UOJYXnbXuO4PSZZjxx7/XYIDPPN/UtEHhle8QaFjl77plcgBUvfoT87EzMLS1QtVnLeYWOMRl0WDn3Orz5t2rJHmWPv/wp8rOzIj6OElK+FY/3fvlpzCstCNK72birQjFjo2aP0+vFj34wGC9LaBvdM7kATq8XJlb9l1aiZY9ipTjdHUi0a0UQsYAee0nQHR97RUNlV8scjCDIqsgW5VqRn62uzDz7h1ehsdmJP0ro1gQeC4CsPcX5Vsy65SocPHYWR081dHgepTEzx+ehqrZR8nXD8qyYfetVONdgRw+LHv2yLGAArO/ENVBS6BV9W/NVo2YVY4FhVM/b4xXw4u5K2THzpxbCwCh/hCSasnA8FKc7QiJ8TiTatYo2ieDj7k6yPPai1V4pghaV3WjMoaQiW1FTh8HZmarKzHodC45lJFdCiVkOp9ujaM+hqjrYHR5ce9UlqjZrOS+pMYOzM2Vf93l1HS5cdOKZVw/g/730MTa+VQE3L6CqtkHxOEpo8a2o6aNFzVfLebs8XsUxLo+8sKMWu0Vb4kk03gvdlUS7VgQRK+ixV4oQDZVdLXOoPQFxuXkNysxuOFxerPvDv1E6ZlCYmvLqHQex6t5R8Ko8GmuxueFUUF0WbRZU9KRb7R4AQlgndTUdoUDtnUNVddj8diWWzBqONTsOSqpBq10DLerZWsaJY9T8Z3N4wKjNo+G+iYeycCQ1KvFWnE4mSAWaSBUo+EkRoqGyq2UOVuXb0qBnVedJM+vh5QV/byzJY5k4qHx3q2rfAFrPmwPDIKyT+sq5IyM6/qGqOkz7bi6WzhqO1RIBkJotWtSztYwTx6g9vbA53DCoCN9p8V+slYUjrVHpCsXpZIFUoIlUgR57pQjRUNm1GDlF1WWLkVNUkR1xVT/wgq/TwM/mjPS/1mRo/4IVbbkky6KoRmsycEhTOafjtY04XtuIYhkV5aJcK1rtLpgN6r4xG7iw3lkdUYNusblR9uEplI4ZJHkcJZR8Kx5PVOrVouZrVvEfLwCVJ+o7fd/EUllYkAh8gPaeZgITHo0nmuJ0IkEq0ESqQMFPihANlV2W53HP5AJJ1eV7JheA5XlZFdmRV/fDPZML8McPT+Enaz/AL14p97926azh/lYVoi0sz0vOU5RrxYQbcvDynsPgBQGLpkuPKS3JQdm+kyjbdxL3TS0Maz0hHutXrx7Euj/8W9Y3900ZCkYQJDupy6lBBx4/FIOe9dfnhNqidg3kfCser/bbJr9SrxY1X6fbo2g/xzL+c5Q6ptb7JpbKwh2pUUk0xelEglSgiVSBVntJ0B1Xe4l0RmU3kpUgoTUYJgMXtuw68LX3TR4KTscG6cuIrzcadHB7BLTYXDh6ugFl+07C4fIGrVo602BDi83trwsKHLN4aiF4hgk77wstDixZvx8AsGDqUFx+SQ+YjHrYHR6YTRzONzmw4Y1DGPidnpgz4Wosfu6DMNvFOqDrCvrj/AU7LultQdV/GrF1z5Gwx1riiqw39lbjVwtHQxDQIaVjgWHg8HghCAx4QYDd4Tsns0G73hIA1Le4sHLLJ0F1TIH+e/BH1+CZVw/AZNBhzQNjwAuCf56OqDPHQjumvsWFRzbsl93/7KLR6CNTo5JoitOJ9DnRXXV+EsnH3ZVkWe2VuvndFIXleaTr2faCzgg+7LX8yg7tHC7icAW/NrR42O3hwbIMWIaBF5DVshGDmsBjmg0c+vQy461/1EiqG0MQwABgGYBlff9nBAHmgMcb/Xqn4dFNH8ueGyb6bA4NaMS6pMHZmXjyt/+CyaDDup+OxVUDs4JsEe1fveMgAF8dkd9XEX7hMoIAA6dTrHMJFUIUz1VgGP+XmMXEKdZViTVEDpc3qCRc4kmSf26lL0ylTusdpTM1Kp15L3R3YnGtCAJInMCagh9CM1pXgkgVoP4soDjYZNCFFQ8D7Y8dtu05EhZkiY+cSscMCnqNzeHBy3u+QFVtA0rHDMLE0TkQBKBvlgUWva//lJLo4sir++H0t80wqdR5nGu0Y+Xc67Bq26eSGR2xvic/Owv7Dv0XP7whB9O+mxuUjRKLnP21Ex18w6vVuSyYVoRNIVk2Mfh695PTuGdyAThBgNnAoTjfKt0PLM+Kmv9e8P0734rjpxuwcVdF0HxahC1jLYwn1qjI9TTrjJ8JgoguiSSgScEPoRmLSWWVjEkv+8UcmCwoHTMorHgY8AU4L+6uRO7lmSg/ejZs/oqaOkwakxO0zeXh/fOEBlKiOKFcoPBiW6DgcHrQ1OpSPDcGwJt/q/apRYcEAWJGJzS7s3TWcPz1k9NB5xmtOpdjpxswc3ye5OOqsw022eAxPzsTG3dVYvGMInh5ATPG5YHnEWRjUa4VM76XhyOn6lGcb8WMcXlYte3TsPnEeZi2liRywVgshfHEGhW5nmbd4VENQXQH1H60xVtAk4IfQjOcjkFRrlVWGZfTMbKPxsSVUWKxr9yjlkNVdZg4OkdyHxCsnVOcb0XliXrJcaJYHctA8VGd0+WBgPZVTZJq0Xm+zM6h6jr8+KZ8rJw7EhaTr68XyzL49nwrnl1cgv0V3wQtYV+946BfpyjNpEeaOTopXrvTI5s5WzpruGyGTgwe39hbDZvTA0EQsGrbp5JaSqu2fYpnF5dgzLDv4MHn/ympS6TVx0qPQ6OBThDCepp1lxoVgugudKZsIhZQ8ENo5qLNhdISX2ASmikoLcnBRZtL9glD2b6TWDprOFg2OICRQmm/WIdSnG/FPZOG4qfr5Du/axFdFMX+RPuA8HObU1qApev3AQAamn2qzctnj8Dyje2Ftk8vuCEsoAusp3lmwWjfGzsKX8g9LAbseLdKMnMGAHf+8CrZ14q+bbV7wDBQrPmxOTxoFQTJwMc/RqOPYy2MRzUqBJHYJJqAJgU/hGbMRg4/2/yJrOrymgdKZF/rcHmxesdBrHvoRrhUVgCkW6QfrxXnWZGRZsTKuSNxaZ80uL284hezFtFFUSxRtE/q3M5fsPuPIwZfoQKG8RTO83gFxfYMHk++7GtFu0XhRiXSzOpCiFp9TBBEapNoApr0qURoxqzX4aqBWZKZgkABNLkC1KsGZkHPMuDaROYkG4LmWtGvTeAwdLXUhNE5WPHSR7hqYBYWTS0Ep5OfpyjXijQjBwHAU/OvB8D4gypBEFB3wYEPPvsPzHodBKb9cV7ouQVqwRTlWnHivxewcHoR0s16LJ89AgY9i4Zmh19wUc4Wi5GL2moim0O5PUOLTPsGsTBbtIeB/LUqzrfCYvD5T+28GEGgomOCIBRJtMUJpPMjQXfW+eksXoaRLS7VBa78URnjYRhs3FUZ9ohJXEEkMAxsbh7nGm1gAH8x71UDszTNs2i6r7O53JL5wFVPSvOIBcz52VmYfOMgmAw6vL63Gp9LrFYAgA0K5xQtbB4ei9Z8ILv/hSXfxSt/PCK51F7qvF8MXX2RZ8X8aYWqvglb7aVyzQllutPnRKJCPo49Sj6O9edEJDo/FPxIQMGPMlp0GrSMEUXmWu0en+6NhMic0jyhWja+5zi+JdyMIMgKMopig1W1jVg8o8h/zEDRuzQLB71Oh4s2J4wGDizDQM8xeGn3YUWRR6FNTLHV7kaaWR8T4TyBYbAh5AMk1A4Aft+YjBwYMAAjSAohKon9hQkqOj2+dh8RXitCne72OZGIkI9jj5qPY/k50e1EDs+ePYsxY8aEbX/66acxdepUHDt2DE8++SSOHDmCrKws3HXXXZg9e3YXWJoaaCku1TJGi8ic3DxKehEsz8Pm4WVXFoSuekpvq4MJswcCeqe1F+ApzXmoqg42N49Xyo7EXMNC6/LuIL/5XinpY7nroOZjKbuo6JggCCUS5XMiKYKf48ePw2g0Yu/evWACqjR79OiBxsZG3H333Rg3bhyeeOIJfP7553jiiSeQlpaGadOmdaHV3ZfOZH6Ct+uh5xh4vAJ4QQADX3bB4Wx/DRgGrW2ZlHSzHiYDB6BdVyZUKfrcBTv6ZVrgcCnr9oirnmx2j/9Lvz0T5TuWOSQD0mpXXq1w/oId8yYXwOsV/HOwOgZv/r0at43L8/tI6TgiamN0goCF04pU2zN0+FoBij7un2kBD4TZ6PJ40GKTPlYqZoZS8ZyJ1EVgGDQ7vDhX2wCzkYOJYxP2fk+K4Ke6uhoDBgxA3759w/b97ne/g16vx6pVq8BxHAYNGoTa2lps2bKFgp8YoEWhU2rMyKv7YW5pgWR9yW3j82BzerBn36kwQUBRYE9cbVWcb8WdPxzi/1KW0rspzrfi/qmF6JVuwIUW6SBIXPUkrsLyMAw2vlkhWdfCAtj4ViUmlsjrDwFA715mbHn7SNgcC6YXwi14YQCreJygGhuVMV6GCVNx1nIdtI65b0ohjp1ukPRxr3QDnlowGpvfPhxm4z2TC/DUb/+FCy2uoGMlkrJrvEjFcyZSl2S735Oiq3tVVRUGDRokue/gwYO49tprwXHtcdx1112H06dPo75eWgCP6BhqCp0Cw8iOye7fExt3Sby2ug5fnWuRVHw+VFWH1/dWo3TMoKBt5y84AMgrRR+qqsOmXZVYNnu45HmErnriWTaooNdk0GHm+DxMGpODr861oMnmRu4VmTjx3wthncBFxBYQUto7m3ZVQseGHydwzMZdleBZVtOYzlwHrWM2v12J0jGDJH28aGZxWOAj2vjyO0ewaGZx0LF4llW1pbuhxf8E0V1Ixvs9aTI/mZmZuP322/Hll18iOzsb8+fPx5gxY3DmzBnk5eUFjRczRN9++y369OnToWNyUVSaFAuwtBZiJSrNDjWFTt8jF6kxSqrOvXuaglZPBSLV0kJ8HynNWVFTh7mlV0sumRdXPS2cXggDC1ywe4ICHzn15EljcpB7eaZ//sB9900pxINrP5C1xe70hL0udIxN4xiWYTp8HSIZIypth/q4d0+Too13TRgSNI/N6VG1JcOkk9yfrGh5r4Sec3f5nEhkyMexoSP3e1eT8MGPx+PBqVOncOWVV2L58uVIT0/Hn//8Z9x77734zW9+A4fDAYMhWBXSaDQCAJxOZ4eOybIMMjPTOm17KBkZ5qjPGU/O1TYo7ne45GtilFSbI1V8Pl7biOI8q+rrWu2+NhBNLU5ctLlhMujAMAwYRsDCmUUwcDo0tTjRandj5dyROF7bCE7HyPYdA4AhOVnIz870CyH2zbLg0yPfoumiQ1FwUVRUDiWwnqbV7obFpMfM8XlB3etD5+F0yr+ilK5DJGMEAG4JH6sptdpD9quNd7g8yO6foWpPMqHlvSJ3zsn+OZEMkI+jS2fu964i4YMfjuNQXl4OnU4Hk8kEACgoKEBNTQ22bdsGk8kEV0hxqxj0WCyWDh2T5wU0N9s6Z3gAOh2LjAwzmpvt8HqTd3mlr9i4Y/tDFZG17pPaX7bvJJ77yRg0XlQObtPMHDxON9L0LNJ6GoP2OV1e/Pr3h8I0gO6dXIDd/zghOZ+YhVq1rdy/beXckXhjbzVGF12qaksoSlmmpbOGB/UJC5ynWaUJq9p10jqmb6YFTS3hPlZTYjWH7FcbbzJwaGyMnrREIqDlvRJ6zt3lcyKRIR/Hho7c77EgI8PcvZa6p6WFZ2Fyc3Oxf/9+XHLJJTh37lzQPvHvfv36dfiYsdCA8Hr5pNaWMOtZFYXO9r5boWMCG5sCwRmPXj2MsvOK9TmB5Gdn4aPKb3BD0aWKr7MYOVmdCann0xU1ddi65whKxwySfZwWmG0SbSvO9x1LVeEZwWrJSt3txf2hQREDlSasKtchkjEWPQuzhNr2+SaH4rmeb/LVZJkMOsybVAADp6bsyib1+0IKLe8VuXNO9s+JZIB8HF06c793FQn/4LOmpgbXXHMNysvLg7YfOXIEV155JUaMGIHPPvsMXm/7L+RPP/0UAwcORO/eveNtbrdG1Jcpzg8u+g3Ul5EbU/ttExZO920XMx5VtY1Yta0cj236CBNuyAkrJi7O960EK9t3Mmzb7n+cwPlGB+aWFoS9Tlx15PJIP25R7C5c7es6L4eYhRJrh2q/bfLr3iycXihpy8Lpvv2hYwZnZyrWzgTaIc7zy9+Uo2zfSZSWSPtL7TpEOoblecyfGnxeG944hPumDJX1+4Y3DsFk0GHl3OvwUcU3ePD5D2Svb6AuUXdCi28JoruQjPd7wis88zyPmTNnwm6344knnkBmZibeeOMN7Ny5E2+99RZ69+6NW265BePGjcO8efNQWVmJn//853jiiScwZcqUDh2TFJ6V6azOj5sXsPntYKVkMRNUeGUfGDhWQufHpwLt4QUcrjmHy/tlwGjgsHr7ASyaWYzePU2wOzwwmzicb3JgwxuH8P/uvhZZ6cYwOxpanFj6wv7Q0/Lzs7kj8Ytt5WHbi/OtmDuxALwggG2rHTJxweeuplottu1obeu/9fOXPwnS0BGbqZbtO4kn7hkFXoB/nqZWBx7+9f4gfwW+rm+mBRYuuB4oVmrc6UbOr/MTqDMk6vxkpBmCrnGgvQKAfpkWmPWJqwESLSLR+elunxOJCPk4tvjudx4OlwcmAxf393i3a29RX1+P5557Dh9++CGam5sxZMgQLFmyBMOH+5YyV1ZW4sknn8TRo0dhtVoxZ84czJo1q8PHo+Antqj1ptqwZCwsEqvtWtw8Hniu/XUr544Mqr8JxGTQYd1Px2LzbmkNmwfXfiBboCzVGysaehWhOhg/n3cdvLwQ9uhLzCpd0tsMc8AbuaN+ixaR3MddbWsyQp8TsYd8HHu60sfdrr1Fnz598PTTT8vuLywsxOuvvx5Hi7o3sValVVv9Y3N4YO5hhFvwQsdysAeoCG959HtYvf0gav7bFFZHJGIy6PD4vJFhgQ/QrmEzb1IBNrxZEXbs4nwrGAi4b/JQuL0C7A53kA/UlJfl9kvVGXl4AX9UqPlZOL0QZ5sc/nnMeibirsha1KS1oEW5NfC+MRo4xVVrNocnpPVGZLYkkmpyotlDEIQ6SRH8EPEjHiqd6quF9Hj9b9WY9r08bJBQOl56x3Cs3n4QZftOYuksX/YvsJB65VxfRkVJd+LOHw6R1ACacEMOlqz/EA6XN1hVWRBUlZeV9rs94XVGLKOs6fPfcy3+zJbYqV5LTy8RLUrRWuioUrTSqjW1e6AztsSTRLOHIAhtJMVjr3iTqo+9BIaR7YQudguP9BetXN+oFxS6kt9QeCmuGpgV1ipCpCjXikUzinD+ggPpaRxMes5Xe+LwIM2sR1VtA3pYDHj6dwdk7Xr0zhG4aHNhcHYWbA43XB4elSfqwzIVRblWLJ5RBADY/PZhDPxOz7D6nC+/bsJ9U4bihZBAI3COeyYVYNGafwRtXz57BJ55Vd7G0P1FuVY8MKMIEARNNTpK9gR2s1dCyz0BQHZMUa4V+SFilJ25l6J9f3aGaNuTLJ8TyQz5OPbQYy8i6VBcBVVVB7vbG1GdhtKv4oVTC7FRIoNx/5RC/GTtB3h2cYliVsTu9KBvhgFehsHGkB5XRblW3PXDIZKvFdFzLDa8WYENS8bCZOTwyIYPZI9lc/oECm8eNSC8j1ieFXNKC+BweZCfnYmq2oawLEdFTR14iS/BSPWNKmrq0NrWhT6wK7IAX41NYDBkc3oU/RfYzV4JLfcEIK8UHarQ3ZnVH9G+PztLotlDEIR2KPgh/GipxdFap6HW62XR1EIsmloouRLL4fL6V0PJ0Wr3IM1glNXrOfHfCxiWZ5VsmxGoHWRzeODllb+IbW0rnCT7iFX7tIF8gU+j7GMeu8MT9phNrmYp1MZQW8Qu9IB8gPmj8fmK59QaMo8cWu4JNdJMejy7aHSn62GieX9Gg0SzhyAI7dDPEsKPWh1GJHUaWn4VM4IAC8eiT7oBlrYCWrNRD5NBh8weRqycOxLLZ4/AyrkjMXN8HkyG9t4waWYONjcve4xtZUdwz6RwDaDifJ+KM6djYDLoYDJyYBhG8hj+8zZzEKBcnyNq9pR9eCqoEat/DhOH+6YE6+WU7TuJ28bnoTgvXC+ntCQnSN8o0BYRpQDTraJeK6U4LYWWe0JtTJqZC7rGHSWa92c0SDR7CILQDr07CT9mvZoSb/hqIjk6+qtYzzFYOfe6MB2gwOLZqwZmIc3Ioa5NSVgKh8uLr+tag/pwpVv0cLi8ePjX+5CfnYWVc6/Dp0e+xc73qsKOIWZuivOtSDNyON8sfyygXflZqhFrUa4VZiMHBsDookv99hj0LI6cqsfggVmYNi4XBo6F2aTH8dMNktkjv1J0W62OUoBZeaJeVf0aGmp+NN0TUFOT1n7fdNqWONb8JJo9BEFohzI/hJ9oqnR29FexxyPgjb9VSz7KKvvwFOaWFmDGuDwAgMmo3CWY0zF4Y281Vm0rx18/OQ2ny4s1bUFFRU0d3vxbNXQ6BjPH52Hl3JG4ZdQAmAw6LJk1HCaDDkW5VswYl+fLUKmcT2B9TmgLDFHhmeF5FOX2wZ59p/DMqwewals5dr5XhaOnGtA304w+6QakcQyKcvsgPzsraP7AeUSUAsyyfSdx7yRpFebQeZSIllJ0NEg0FdlEs4cgCO3Qai8JUnW1l0g0dEsEhsEGhRVdcithQoUMQ3l20Wis3PIJnl1cAgPH4sXdhyUfRw3Ls+L+KUPR1OJCq8PtV00OzKaYDDo895Mx2PJO8Kqy4nwr5pUW4KPKb7D7Hyew5oESmPU62fMJXdG0/uGxQarHoYGGqL3T2TFqQoIbl46FsW0lnJzitFa0KLfGS+8m0XR1omVPsn1OJCPk49hDq72IIC7aXGh2eGELEc1LRMRaHP9jqba2FO0f8HroOQYejwCvIMDhDP/QF38Va9WkEXE427MZUi0cWNZ3Y9vsHqT1MuG28b4sUKiWzczv5YFhGPCCgPWvH8KimcV4euFo33J4E4f6Jgdqv23Cy3vCl9MfqqrD1rIjWDCtCBXVdb5z5ljJ8xHrc1bvOOg/PwPHohUCghtNhCMojGF5Hul6tr0oWSJgMRk4/PL+69Ficwe1xXC4vL4eapzvsQvLADrWpyvU0XuOEQRkmHTI7p8R0w81LYGE1P3ZlSSaPQRBqEOZHwminfnxMoxsEJAMQmihK4pEIcE3/lYdtJpK6pwi/VUsZjPE5qehK6yK86yYMDoHfbPM0LGAAAZHTzWgd0+TP0BqaHbgMms6fr71Uzx257XI6mXCyyHZnaJcK+aWXq2YZfrl/dejb6YZELzgwMLLMPi8ph69e5pgMnDgBSFIG6g43/eYbNW2T/0ZplBRQQ/DYOOuypgID4qB2PvlpzGvtAAMgI1RFOBT+kUXDbG/VBcMpKxE7CEfx55kyfxQzU+M8a/IqQrPLmzaXQmBUcsPdC1SK4pKxwzC63urw5aRS52T1IouJcQi0tIxg2SXlpd9eApmAweeZ/DbPx5F3QW7f3+6WQ9BAH6+1ReApKXpwwIfwJcpqmu0Q4kWmxsbd1WCZTnwLIsNuyqxcVcFVm0rx6ptn6LyRD0GZ2di6azheGHJd3H90EuDAh/xOBt3VYJnWfAsGxb4hI7Rgtwqr4qaOvzpo1O4Z9JQ6BAe+ACxue/UZA1CjyUwDGweHvUtLtg8vtYfkc5BEATRGeixV4xJdiE0KfsHhyj2BtLZcxIfl51ttMseo6KmDg6XB7wAHDh2FgeOnfXvWzl3JDbuau/ZxTKM7BJ1te9Tg571CwKKxxVxuLxB9q1/eGzQcUPtlZpDakw0hAcdLt+x4nXfRXKPy2V35kwsSOr3CUEQyQUFPzEm2YXQpOwPXM0k95rONK10ur3QsT7tHalCZfEYodqEJoMOGWk+fSDxEZiO9en5OFzesBqiXj2MisvBRZHBVrsHPh1lebSIMqrNESpgKDsuCsKD0bzvtN7jStmdc6NtmuYgCIKIBhT8xJhkF0KTsk+tLUM0m1bKNce0mLig4EesEdrx7rGwOqSls4bjhTcOYfHM4qD2FGLtEgDFImYtgoBpZr3KfvU5LFEUHuzsHJGg1R6lDJHaQ61Ef58QBJFcUB45xog1LFIEisQlKlL2i20ZpOjoOSnVsYSqJovHsBg5DGuzQ6wRkqpDKvvwFBa1BT6hj65WbfsUNxReiud+MsavJp2fnekPtkRBQIuRkz1ncYzafi1jtKDlnornfaf1WEoZouO1jUn9PiEIIrmg4CfGJLsQmpT9cm0ZYtW0UmwfEXoMluexYLqvZYTYXkLu9X16miT3O1xebHizAga9Dn/95DRWbSvHG3ur/YGPKAjI8jwWTi9UFA1U269ljBYSSXhQqz2AcvambN9J3Dcled8nBEEkF7TUXYJYiBxyRj0amhxJofMjRaQ6P5HOKQjAso37Zcc+s2A00i3Sx+BZFvVNDixXeP3TC27Ao5s+kt3/7KLRyMowtQkCupFm1ndIfFDcryQq2D5G/jha0CIjEE1BQLUlrGrHUhO+XDy1EAKQUAKG8YSWYcce8nHsSZal7vQgPU70sBjgcbph4dqqG5LsAz1MyA2+PlwA016k2wmdmpVzRyqOT7dwvtU+EsdgeR7pqjU3yvvNJj1eeLNCVX9HTXxQbb+XYbBpV0VUtGy0iOvFU4BP7VhqwpcQfKKPJBhIEESsoeCHiAmB2Y10sx7mtuyG2CbhbGMrJpbkIPeKTJTtO+mvI5J6NFWcb4UgAK1u3j9P6LE4Ha/YZNJi5CT3mww6zJtUAEEQMHN8Hu6eMAT1TQ5seOOQX39n8YwizZkZufMGfJmPrXuOIPeKTEwsaW9uery2EVvLjuDe0oIuyXLEs12EThCwaGphymZ3CIJIDCj4IaKOh2GwMSSLMuKqfrhncgFelFnNJa7GAsJbVUy4IQdLX/gwqA4nSDH5zQpU1TZg6azh4HmE9emaP7UQr/zxC0y4ISdov7ja682/VWPDmxVBx/zl/Buw4sWPItLfkTrvQHsdHi9uum5A0IozcUxpSQ4cHi/MGlO20aIrVJWpHQRBEF0N1fxIkOqNTTsDz7Jhj48AYOb4PFTVNkpmdsTGoGX7TqJ0zCBcV9AfLTYXWJYJah8ROH7xjCIACDpWoI6PIAB9sywwG3TY/PZhHDh2Nkzn5/J+6Xh5z5GwFWLiMSaW5OCXr5Tj6QWj0S9DWWNG7rwD7XW4vJK9xABf2477phTCwMTv7SgwDDZIrLADpJvPptJ93BWQf2MP+Tj2UM0PkZLYnB7JL3clVeiKmjpMGpODN9pUk8WVXau2lMuO16q6bHN6/ArQofuff+hGycBHnPeuCUMAaNPokTtvJXsDOVRdh/omO/plmuPWxyrZ1ccJgiA6Cn2yEVFFTulYTRVa3C8qK6uqSNs9mlSVlcaoKRPbHR4U5VphMkgHP4E9qgTBl90yGaT1aGx2T1DHeilabO649rGKhlI0QcQaqV5wBNFZKPNDRBW5VVVqqtAGPRukrPzIHcMVx2tRQ1bL2GhRJl4wrRBurwdcSNPRSNSoRXtZDb3E4plxSXb1caL70xU1aURqQJ9uRFSxGDmMuKofBn6np7+2xqBnwQvAsFwrPpepd+mbacHookv9gYPS6q9ANeTOjLE73YqvNxs57HzvOO645aqgJeuBatShdUQmgw5LZg3HmoAASLSFFQQsmlGErAxT0Eqvsn0nkZ+d5e8lFq8+VqIys9wKObNeF7Vi5HiuKCO6B0q94DbtrgyrSSOISKDgh4gqLM/jnskF2LirMqi+ZsRV/bBgeiFeDNF4Kcq1YsLoHKx46SM8cscIXDUwy9eSYt9JLJ3ly/5IrZ4Sl48vnF6IjbsqOzSmb0+z7L57Jhfgd38+irsmDAlb5i7Wyoj9xEJXbxXntWeA8rOz/LZ4GQYfVXwTli1aOfc6ON1e/OrVAwDil3FR092J1hcL/XonOgLVpBGxhFZ7SUCrvTqO0gqikVf3wz2ThsLh8viVojkdg4s2F8xGDha9LkjhN83MwajnYG9TTJZSVAYiV1UO1d8Jfb3JwMHt9cDISSsv17e48MiG/Yor2Irzrbhv8lBwOtavbyTnl2F5Vlw1MAu/f69KcpVVrNGalenIfRzpirJUJpU+J7Qgvs/keHbRaPSJMENKPo49tNqL6LYoBRLKPbrq4fH6xjEMwOlYuL1eeLwCBAHgGQYszwdpwPAABAACBNXO35AZwzMMPq+p8z9usjs9aGpxonBQH9hcXpxrvAiWYeDlBThdHngFAX0zLdJHYBiYjByWzx6BS3r7xlTVNoTV+ByqqoPLw0PfVuij5JfPq+tQWpITkz5WStcq8Jx4AfDyvusgMIxkm4xmhxfnahtgNnIwcawmOyP59U6PxjpPd/Ih1aQRsYTuHiIi1IT85FYIiY+INr99GMdO+wQJd7xbpdhOQu1YmsYwDM5dcODDz78JFj/Ms6JfVhpWbfs0qDZHLLh2uLwozrNi/rT2Y0Va5PxNXSveKz+NBVMLVVdOpZn0Uc+CRMV/6NxjKy0ryizpBno0FgW6mw/jWZNGpB70wJTQDM+yYfUxAPxtIHiWlf01VjpmEMo+PIVD1XX+fyvNw7MsXn7nCPKzM7Fy7kgsnz0CK+eORH52Jl5+54h/jJo9Ll7A63urw8Ycqq7D63urUTpmUNDryj485d92qLp9Hrniy9DXBCKu3tq0uxIWk3JvMbc3ukt4tfhGyxjxvI+dbsDM8Xn+azFxdA4qTtT7UngKqP06d3l48CyrWNjqastGEfKoFQcno//EmrTifGvQ9lhkSInUgzI/hGa0CPmlGaR/rQWKHKoJHtqcHjAMcPMo+VYQdpevE7yaPYIgKI6ZNCZHcZs4D8tA4XFe+DyiXhHg+wLiJjOyv2KLcq2oPFGPjKJLNbXR0EJnRRcDz1vM1Eldi4JBfaBUdaH06z3wvJUejX1T34o/7j+VtBmMeNBdi4OpFxwRKyj4ITSjRVQwXc9KriAK/KhSEzBstXuQbubw7ienkZ+diUljgpuAvvvJacy+dQha7S7VeVgGYcvRA5eYS9kSus1m94BV+d4IfE3g4zORizYX7pk0FJvfPhz2iEkcW5zXt70bfCdRu1Y2uwcCBEXftNo90LFQzNRtflt5yTEjCLh30lC8pHjeVsnXirjcPC1vVkHr48VkhHrBEbGAgh9CM3IChu37fbeT1K81BJQiqwkeppk5QCXzA0bQZI+OZWSzFktnDYdOQnkw1L40ix5NLU7FY11qTcPy2SP8wUNoDZDZyMHL85LBnDhWSxsNraj5xmLmwDBQ9E26hQMD5UydlqwCL6idt7Kt4vVI5gxGrKHiYIKIDHpHEJqxGDl1UcG2lUShv9YEpv2xjxYBQ4fLK5ttAIB7JhXAbNRpEjlUmmdiifzjKsBXGF1V24BzjXbZYxXn+471XvlpxeJMgWFQVdsoGUiE+q+zaLpWUPbN4hlFYAQBar+z1bIKJk6Hmq+kz1v0ndKjscDrkcwZjFhCxcEEERn0E4rQDMvzWDi9EEW5wY8pQkUFpQgsXizbdxKlJTmK8/AqtTq8IGiyx+FSrn0JTPyIWaWyfSf9f983tRBb9xyRtVksvmR5XrU4szP+i5Ro+Mbh8oBRWPYvopZVUCtclfNd6PXQcqxUhYqDCSIySORQAhI5VEaLqKAcog6J3elBD4sRbq8XrbZwAcNIBM6U7FGb51cLR4NhfF+qJgMHu8uDFlv7PI0XHVj6gu/1UvUxfTMtsHDtEZQWnZXO+C9SxGPZJEQitfpYYBhsCKnhEolEqFDNN779PM422sAA/toj8fFhdxdFjMbnRHfS+YkF3e2zOBEhkcMocuHCBaxduxYffPABWlpakJ+fj4cffhjDh/vaH9x99934+OOPg15z7bXXYvv27V1hbreH5Xmk69n24twIvrj9j8M4AwABBo5FWkb4PJHUMLA8j15mDgMv7Rn2hlObJ83MtdeQ8DzSQuwxG9tf73B5wx7dbFgyFoH1TFqKMzvjv0hROpZWH0erDYaab3z7GVzRNz3mLTe6K1QcTBDaSIrg56c//Snq6uqwdu1a9O7dG9u3b8fcuXPx9ttvIycnB1VVVfj5z3+O8ePH+1+j1ysXUaYq8fplGHgcsU1Fe1uLtuMCsMnYEkkNg5L6cGdrISJ9fah/TQYOTndbe44I/K1Vmbkz1zKSc9MJAh6YXgSHh8fFVldM7x1a3kwQRKxJ+MdetbW1uOmmm7Bz5078z//8DwBAEATcdNNNmDBhAmbNmoXrr78eb7/9NoYMGRKVY3bXx17xUoANPE5g888gheV8K2aMywtSWA61xcswshmAoDEq56RlHtXz0fB6OQXoINVoDcf1MIxss9ZoqC535NyAxLmPuyvk39hDPo49yfLYK+GDn+bmZhw6dAijRo2CwdC+yuOmm25CSUkJvve972HOnDk4dOgQzGZzVI7ZHYOfeDWYDD2OUvPPolwr8kOWUYfaopTdiOScOpsl0VKvImdL6HkW51uxeGphUBNXcU4wDNaHtJsInEdcgRXNaxnLxqaEdsi/sYd8HHuSJfhJ+MdeGRkZuPHGG4O2vffee6itrcVjjz2G6upq9OjRA6tWrcJHH30Ei8WCm2++GQsWLAgKliKFi6KWiHgxtF6UWNDsUFOA5ZFh0kX9OGpqzqHKyFK26HUcMoLqUxjJY3V0Hq0ovV7JltDzPPZlA1wCsHl3eObmvimFqKptkJ3Hp7rMRP1aavFNItzH3Rnyb+whH8eeZPFxwgc/ofz73//Go48+iptuugljx47FY489BqfTicLCQtx99904duwYnn32WXzzzTd49tlnO3QMlmWQmZkWZcuBjIzoZKY6wjmZL1QRh8uD7P4ZUT+Ompqz1H6ttnT0nC7aXGhqcaLV7kaaWY+e6Ub0sGgPlKVe72hWFkEMPM/SMYPCAh+TQYfcyzNRf8GOR++6Fl4vH7baCfDp3HA65aAt0msZqT+68j5OBci/sYd8HHsS3cdJFfzs3bsXS5YswTXXXIM1a9YAAFatWoVly5ahZ8+eAIC8vDzo9Xo89NBDeOSRR9CnT5+Ij8PzApqbbVGzW6djkZFhRnOzHV5v16RaTQblS20ycGhs7PyjvtDjqKk5S+3XaktHzsnpFWRrZYwqQYXS6+dMLFB8XeB5hmbDAuuipJSWA9WiLSYOrEqTykiuZST+SIT7uDtD/o095OPY05U+zsgwd5/HXiI7duzAk08+iZtvvhm/+tWv/I+0OI7zBz4iubm5AIAzZ850KPgBEJNnlV4v32XPmc16VmVlDxsV20KPo6bmHKjeG6ktWs7J7RUC6ln0OF7bgGOngzNGWvtGKXXOrips0KxSHHoEpd5Z4v439lb7lZkZQYjKtVTrBC7nj668j1MB8m/sIR/HnkT3cWI/lGtj586d+MUvfoHbb78da9euDarlueOOO/Doo48GjT98+DD0ej0GDBgQZ0sTl3gpwIYeR0kZ+bbxeUHqvR3RjVE6JwHAhrcqsWjNB3hkw34sWvMPfPj5N1g6azhMhuCaGLFvlBJKnbO37jmC+6aoqxQX51vDFJMHZ2cqKi0Pzs4MUmaO1rXU0gmcIAiiO5LwmZ8vv/wSTz31FL7//e/jvvvuQ319vX+fyWTCD37wAzz11FMoLCzE6NGjcfjwYTz77LOYO3cu0tPTu9DyxCNe+imhx0kzc1g8o0hS52fNAyWdsqX9WL52DSYDB7OeBQPgBYmsRmg2JRC1vlFKnbMdLi8utjrD/Cvq/Ky6d1T7ii4gKHOjVheVZtJj8YyiIJ2faFzL7twJnCAIQomED37ee+89uN1u/N///R/+7//+L2jflClT8Mwzz4BhGGzfvh1PPfUUrFYr7rrrLtx7771dZHFiEy8F2LDj8LzkcaNhCyMIyDDpkN0/w7+80ubhNa++EulsZ2xz2yOp0PM261iYQ84xUDFZS5d7qfYXnb2W1AmcIIhUJeE/3e6//37cf//9imNuv/123H777XGyiNCCFoXiaI65YPfg64Z6/xi706VoX2i2JRpqzxa9DjzDKNobqKkzd2IBuMkMvF61Gp7YdOROxE7g1JuKIIh4kPDBD5F8eBgGG0OE+kIVimM9Zv60QpgMuqBl4oEEZlu01soo9bhaNLUQHkDRXjlV5oVTC6PSOytSotWzK1rES4GcIAgi4RWeu4LuqPAcL3iWxQsqCsUAYj6mOM+KG4ouxYY3K8L35Vtx3+ShaO5gjyqp7ITAMKr2btxVIavKLKf4HI8AJBEUnuOlQJ7IpNLnRFdBPo49yaLwnBSrvYjkweb0KK5csjk9cRlzqLoO+dlZsiuiDAzQJ90AS0ATVK2ItTaBr9dir9LKKpvbKzlvPOiq4wZCK88Igogn9NiLiCqtdrfifpvdAyFM6SY2Y1pt7rh1B1c7b1W/pPjKKlp5RhBEPKHgh4gqaWa94n6LWf2Wi+aYeK1uUztvVb+k+MoqWnlGEEQ8ocdeRFSxGLkwQUMRUaE4nmPihRZbQh/BifhXVqUw4sozKcg/BEFEGwp+iKjC8jwWTi8MCwQCFYrjOSZeaLElHgrbyUq8FMgJgiAAWu0lCa326jyiPo/N7oHF7MvSyGn4RGtMq92nJi01Jl6o2ZLMOjbxuI+T2T+dJRU/J+IN+Tj2JMtqL3qQTsQElueRrmeRrm9XOo7VmHYEyPU71yKW2FkEhoHD5YHD6UEPS9sXd8gx4lWDJBKP844m8fYPQRCpCQU/RFITLbHEzpKIAn3xOG+CIIhkhGp+iKSFZ1ls3FUZpq9TUVOHjbsqwbOspjGdRZAIfACfPs2m3ZUQGLl8VOyIx3kTBEEkK/QJSCQt0RJL7CyJKNAXj/MmCIJIVij4IZIWdWFBjybRxc6iRaAv3sTjvAmCIJIVqvkhkhZ1YcHoiCWqzpGAAn3REJskCILorlDmh0haEkUIMREF+hJJAJIgCCLRoOCHSFoSRQgxEQX6EkkAkiAIItEgkUMJSOQwudAicqhFLLGzJKJAXzTPm+7j2EL+jT3k49hDIocEESdYnkcvM4eBl/aUfcNFJpbYMRJRoC8e500QBJFsUPBDJCSBWRSzkQPDMGAYASYuPJsiMAyaHV6cq22A2cjBxLFdnnEhCIIgEhcKfoiEQ0otuSjXitKSHLxffhrzSgv8qsmJqKxMEARBJDZU8EwkFHJqyRU1dSj78BSy+/f0qyYnorIyQRAEkfhQ8EMkFEpqyRU1dRicnelXTU5EZWWCIAgi8aHgh0go1NSQXW7ePy4RlZUJgiCIxIdqfoiEQk0N2aBnNY3TOoYgCIJIPSjzQyQUSmrJRblWHK9t9KsmJ6KyMkEQBJH4UPBDJBRyasniaq/ab5v8qsmJqKxMEARBJD6k8CwBKTx3PYE6PyYjB1ZF58fu5uFweWAycDDrSecnFtB9HFvIv7GHfBx7SOGZSEgSsQWDFGFqyb6tkqrJjCAgw6RDdv8M+lAjokqyvF8IgogMCn5SCBIEJAjt0PuFILovVPOTIpAgIEFoh94vBNG9oeAnRSBBQILQDr1fCKJ7Q8FPikCCgAShHXq/EET3hoKfFEFN8I8EAQmiHXq/EET3hoKfFIEEAQlCO/R+IYjuDQU/KQIJAhKEduj9QhDdG8rdphA6QcCiqYWkW0IQGqD3C0F0X7pF5ofneaxfvx4lJSUYNmwY7rnnHnz11VddbVZCIooH9kk3wMKREjJBKEHvF4LonnSL4GfTpk3YuXMnfvGLX+APf/gDeJ7HvHnz4HK5uto0giAIgiASjKQPflwuF1555RU88MADGDt2LAYPHoznn38eZ86cwfvvv9/V5hEEQRAEkWAkffBz/PhxtLa2YtSoUf5tGRkZGDJkCA4cONCFlhEEQRAEkYgkfcHzmTNnAAD9+/cP2t63b1//vo7AcdGLC8Uus1q7zRKRQz6OPeTj2EL+jT3k49iTLD5O+uDHbrcDAAwGQ9B2o9GIpqamDs3JsgwyM9M6bVsoGRnmqM9JBEM+jj3k49hC/o095OPYk+g+Tvrgx2QyAfDV/oj/BgCn0wmzuWPO53kBzc22qNgH+CLgjAwzmpvt8Hr5qM1LtEM+jj3k49hC/o095OPY05U+zsgwa844JX3wIz7uOnfuHK644gr/9nPnziE/P7/D83o80b9oXi8fk3mJdsjHsYd8HFvIv7GHfBx7Et3Hif1QTgODBw9Geno6ysvL/duam5tx9OhRjBgxogstIwiCIAgiEUn6zI/BYMCsWbOwZs0aZGVl4Tvf+Q5Wr16NSy65BDfddFNXm0cQBEEQRIKR9MEPADzwwAPweDxYsWIFHA4HRowYgW3btkGv13e1aQRBEARBJBiMIJBeeyiCIIDno+sWnY6lArsYQz6OPeTj2EL+jT3k49jTVT5mWQYMw2gaS8EPQRAEQRApRdIXPBMEQRAEQUQCBT8EQRAEQaQUFPwQBEEQBJFSUPBDEARBEERKQcEPQRAEQRApBQU/BEEQBEGkFBT8EARBEASRUlDwQxAEQRBESkHBD0EQBEEQKQUFPwRBEARBpBQU/BAEQRAEkVJQ8EMQBEEQREpBwQ9BEARBECkFBT8xhud5rF+/HiUlJRg2bBjuuecefPXVV11tVtJy9uxZ5Ofnh/23e/duAMCxY8cwa9YsDBs2DOPGjcOrr77axRYnF5s3b8Ydd9wRtE3Np3SPa0fKvytWrAi7n8eNG+ffT/5V58KFC1i5ciXGjBmDa665Bj/+8Y9x8OBB//5PPvkEU6dORVFREW6++Wb8+c9/Dnq90+nEE088gVGjRqG4uBgPP/wwGhoa4n0aCY2aj+++++6w+zjwXk84HwtETHnhhReEkSNHCv/4xz+EY8eOCXPmzBFuuukmwel0drVpSckHH3wgDB06VDh79qxw7tw5/392u11oaGgQRo4cKTz66KPCiRMnhF27dglDhw4Vdu3a1dVmJwU7duwQBg8eLMyaNcu/TYtP6R7XhpR/BUEQpk+fLqxduzbofj5//rx/P/lXnbvvvluYMGGCcODAAeHUqVPCE088IRQWFgonT54UTpw4IQwdOlRYu3atcOLECWHr1q3CkCFDhI8//tj/+uXLlwvjx48XDhw4IFRUVAiTJ08Wbr/99i48o8RDyceCIAijRo0Sdu7cGXQfNzY2+l+faD6m4CeGOJ1Oobi4WHjttdf825qamoTCwkLhj3/8Yxdalrxs2bJFmDhxouS+l156SRg9erTgdrv925577jnhpptuipd5ScmZM2eE++67Txg2bJhw8803B305q/mU7nF1lPzL87wwbNgw4f3335d8LflXndOnTwt5eXnCwYMH/dt4nhfGjx8vrFu3TvjZz34mTJ8+Peg1P/3pT4U5c+YIguC7PoMHDxY++OAD//5Tp04JeXl5wr///e/4nESCo+bj+vp6IS8vT/jiiy8kX5+IPqbHXjHk+PHjaG1txahRo/zbMjIyMGTIEBw4cKALLUteqqqqMGjQIMl9Bw8exLXXXguO4/zbrrvuOpw+fRr19fXxMjHp+OKLL6DX61FWVoaioqKgfWo+pXtcHSX//uc//4HNZkNOTo7ka8m/6mRmZmLLli0YOnSofxvDMGAYBs3NzTh48GCQ/wDfPfzZZ59BEAR89tln/m0iAwcORL9+/cjHbaj5uKqqCgzDYODAgZKvT0QfU/ATQ86cOQMA6N+/f9D2vn37+vcRkVFdXY2GhgbcfvvtuP766/HjH/8Y+/btA+Dz9yWXXBI0vm/fvgCAb7/9Nu62Jgvjxo3DCy+8gMsvvzxsn5pP6R5XR8m/1dXVAIDt27dj3LhxGD9+PFatWoWLFy8CoM8QLWRkZODGG2+EwWDwb3vvvfdQW1uLkpIS2XvYbrejsbERZ8+eRWZmJoxGY9gY8rEPNR9XV1ejR48eWLVqFcaMGYObb74Z69atg8vlAoCE9DEFPzHEbrcDQNANAwBGoxFOp7MrTEpqPB4PTp06haamJixevBhbtmzBsGHDcO+99+KTTz6Bw+GQ9DUA8ncHUfMp3eOdo7q6GizLom/fvnjppZewfPly7N+/HwsWLADP8+TfDvDvf/8bjz76KG666SaMHTtW8h4W/3a5XLDb7WH7AfKxEqE+rq6uhtPpRGFhIbZu3Yr58+fjzTffxIoVKwAgIX3MqQ8hOorJZALge4OJ/wZ8Xxpms7mrzEpaOI5DeXk5dDqd358FBQWoqanBtm3bYDKZ/L80RMQ3lsViibu93QE1n9I93jnmz5+P//3f/0VmZiYAIC8vD1arFTNnzsThw4fJvxGyd+9eLFmyBNdccw3WrFkDwPcFG3oPi3+bzWbJexwgH8sh5eNVq1Zh2bJl6NmzJwDffazX6/HQQw/hkUceSUgfU+Ynhoip6nPnzgVtP3fuHPr169cVJiU9aWlpQV8CAJCbm4uzZ8/ikksukfQ1APJ3B1HzKd3jnYNlWX/gI5KbmwvA98iL/KudHTt2YPHixfjud7+Ll156yZ+h7N+/v6T/LBYLevTogUsuuQQXLlwI+3ImH4cj52OO4/yBj0jgfZyIPqbgJ4YMHjwY6enpKC8v929rbm7G0aNHMWLEiC60LDmpqanBNddcE+RPADhy5AiuvPJKjBgxAp999hm8Xq9/36effoqBAweid+/e8Ta3W6DmU7rHO8cjjzyCu+66K2jb4cOHAQBXXnkl+VcjO3fuxC9+8QvcfvvtWLt2bdAjluHDh+Nf//pX0PhPP/0U11xzDViWxf/8z/+A53l/US4AfPnllzh79iz5OAAlH99xxx149NFHg8YfPnwYer0eAwYMSEwfd8kasxRi7dq1wrXXXivs3bs3SKPD5XJ1tWlJh9frFaZNmybceuutwoEDB4QTJ04ITz31lFBQUCBUVVUJ9fX1wogRI4Rly5YJNTU1wltvvSUMHTpU2L17d1ebnjQsW7YsaCm2Fp/SPa6dUP/u3btXyMvLE1544QWhtrZW+OCDD4Rx48YJP/3pT/1jyL/KnDp1Srj66quFhQsXBmnMnDt3Tmhubhaqq6uFq6++Wli9erVw4sQJYdu2bWE6Pz/96U+FcePGCZ9++qlfgyZUjymVUfPx9u3bhauuukrYuXOn8J///Ef485//LIwcOVJYu3atf45E8zEjCILQNWFXauD1erF27Vrs3r0bDocDI0aMwMqVK3HZZZd1tWlJSX19PZ577jl8+OGHaG5uxpAhQ7BkyRIMHz4cAFBZWYknn3wSR48ehdVqxZw5czBr1qwutjp5WL58Ob7++mts377dv03Np3SPa0fKv3/961+xZcsWnDp1Cj169MDEiRPx4IMP+h8pkH+Veemll/D8889L7psyZQqeeeYZ7Nu3D6tXr8bp06dx2WWXYfHixbj11lv942w2G5566im89957AIAxY8ZgxYoVYY8kUxUtPn7ttdfw2muv4auvvvLXrd17771gWd8DpkTzMQU/BEEQBEGkFFTzQxAEQRBESkHBD0EQBEEQKQUFPwRBEARBpBQU/BAEQRAEkVJQ8EMQBEEQREpBwQ9BEARBECkFBT8EQRAEQaQUFPwQBNGtGDduHJYvX97VZhAEkcBQ8EMQBEEQREpBwQ9BEARBECkFBT8EQXQ73G43nn32Wdxwww0YNmwY5syZg9raWgC+/lp33HEHdu3ahe9+97soLi7GnXfeiePHj3ex1QRBxAsKfgiC6Hb85S9/QU1NDZ555hk8/vjjOHLkCB566CH//mPHjuH555/HokWLsHr1ajQ2NmLWrFk4d+5cF1pNEES84LraAIIgiGjTr18/bNq0CXq9HgBQW1uLF198ES0tLQCAixcv4qWXXsLw4cMBAIWFhRg/fjxeffVVLFmypMvsJggiPlDmhyCIbkdhYaE/8AGAyy67DADQ3Nzs/1sMfACgb9++KC4uxoEDB+JrKEEQXQIFPwRBdDssFkvQ3yzr+6jjeR6ALzMUSu/evXHhwoWY20YQRNdDwQ9BEClHY2Nj2Lb6+nr07t27C6whCCLeUPBDEETKcfr0aZw8edL/99mzZ3Ho0CGMGjWqC60iCCJeUMEzQRAphyAIuP/++/HQQw9Bp9Nhw4YN6NmzJ+64446uNo0giDhAwQ9BECnHpZdeijlz5uCpp56C3W7H9ddfjxdffBG9evXqatMIgogDjCAIQlcbQRAEES+WL1+Of/3rX/j73//e1aYQBNFFUM0PQRAEQRApBQU/BEEQBEGkFPTYiyAIgiCIlIIyPwRBEARBpBQU/BAEQRAEkVJQ8EMQBEEQREpBwQ9BEARBECkFBT8EQRAEQaQUFPwQBEEQBJFSUPBDEARBEERKQcEPQRAEQRApBQU/BEEQBEGkFP8fWODwPVkSw14AAAAASUVORK5CYII=",
"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": 52,
"id": "86f9747b-00a3-407f-9b73-0bce40bac50d",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='speed'>"
]
},
"execution_count": 52,
"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": 53,
"id": "7385237c-6a5c-4041-af46-559d6d84d1fa",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/Cory/Library/Caches/pypoetry/virtualenvs/lab-pokemon-f7_67gh8-py3.11/lib/python3.11/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 0x129c16f90>"
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1592.5x500 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"favorite_types = pokemon[pokemon.type.isin([\"Fire\", \"Water\", \"Grass\"])]\n",
"sns.relplot(data=favorite_types, x=\"hp\", y=\"speed\", hue=\"legendary\", col=\"type\", s=100)"
]
},
{
"cell_type": "markdown",
"id": "c6a20904-416d-44be-a4f3-2107200fb3c2",
"metadata": {},
"source": [
"#### Your turn\n",
"\n",
"**1.5.0.** Plot a histogram of peoples' heights."
]
},
{
"cell_type": "code",
"execution_count": 55,
"id": "3b268a30-42ff-4ab8-b2cd-c58a76121f9c",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='height', ylabel='Count'>"
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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MUGlpqdavX69p06Zp8ODBkqSlS5dq4MCB2rVrl26++WZT1gAAAPCUz89cffrppwoNDdVrr72mXr16ue3LzMxUYmKirNb/y4D9+/fXV199pXPnzunYsWO6dOmSkpKSXPujoqLUvXt3HThwwLQ1AAAAPOXzM1fJyclKTk6udF92drbi4uLctrVt21aSdObMGWVnZ0uS2rVrV2FM+T4z1vCW1erz7FpnFkuI29/BhN4bV++GIdfb3lithpzOiq87YBiSvttssYTI6az9Wp4ex5Dh/dw6HLuqcZ72Xl39gawxPuZrI5j7r4/efR6uqlNcXKwmTZq4bQsLC5MklZSUqKioSJIqHXPhwgXT1vBGSIihVq0ivZ7vb6KiInxdgs/Qe+NR/ky4li2r/t60Wq6Mad68+t6rW8uj41gtdZpbl2NXNc7T3svn13SMQNTYHvO1Fcz9m9m7X4er8PDwCjeVl5SUSJKaNm2q8PBwSVJpaanr4/IxERERpq3hDYfDqYKCy17P9xcWS4iioiJUUFAku93h63IaFL03rt4NQ7LZ7JKk/PxLlZ6ZMQzJZrfLarHo4sUi2WyV917dWh4fx2av01xvj13VOE97r67+QNYYH/O1Ecz9f7/3yMgwU85g+XW4io2NVW5urtu28s9jYmJks9lc2zp06OA2pmvXrqat4a3qfjgFGrvd0aj6qQ16bxy9G4Yh53dJwGZzuj6+eoy+21xd79Wt5elxnHJ6P7cOx65qnKe9V1d/Y9CYHvPeCOb+zQyVfn1xNSEhQQcPHpTdbndt27t3rzp37qzWrVurW7duatasmfbt2+faX1BQoKNHjyohIcG0NQAAADzl1+FqxIgRKiws1MyZM3X8+HFt375dGRkZSk1NlXTlPqmUlBSlp6fr3Xff1bFjxzRlyhTFxsZqyJAhpq0BAADgKb++LNi6dWutXbtWCxYs0PDhw9WmTRvNmDFDw4cPd41JS0uTzWbTrFmzVFxcrISEBK1bt06hoaGmrQEAAOApvwpXixYtqrCtZ8+eevnll6ucY7FYNH36dE2fPr3KMWasAQAA4Am/viwIAAAQaAhXAAAAJiJcAQAAmIhwBQAAYCLCFQAAgIkIVwAAACYiXAEAAJiIcAUAAGAiwhUAAICJCFcAAAAmIlwBAACYiHAFAABgIsIVAACAiQhXAAAAJiJcAQAAmIhwBQAAYCLCFQAAgIkIVwAAACYiXAEAAJiIcAUAAGAiwhUAAICJCFcAAAAmIlwBAACYiHAFAABgIsIVAACAiQhXAAAAJiJcAQAAmIhwBQAAYKJ6CVfZ2dn1sSwAAIDf8ypcXXfddTpy5Eil+zIzM3XTTTfVqSgAAIBAZfV04Pr163X58mVJktPp1NatW/Xhhx9WGHfo0CE1adLEvAoBAAACiMfhqqSkRCtWrJAkGYahrVu3VhgTEhKi5s2b65577jGvQgAAgADicbi65557XKGpW7du2rJli3r27FlvhQEAAAQij8PV9x07dszsOgAAABoFr8KVJH388cd6//33VVRUJIfD4bbPMAwtXLiwzsUBAAAEGq/C1fr16/XEE08oLCxM0dHRMgzDbf/VnwMAAAQLr8LVSy+9pFtuuUULFixokGcG2mw2PfPMM9qxY4fy8/PVvXt3TZ8+XfHx8ZKkrKwsLViwQP/6178UHR2t0aNH66677nLNdzgcWrFihbZu3aqLFy8qISFBjz76qK699lrXmJrWAAAA8IRXr3N17tw53X777Q32kgurVq3S1q1bNW/ePO3YsUOdO3fW+PHjlZubq7y8PI0ZM0YdOnTQtm3bdO+99yo9PV3btm1zzV+5cqU2bdqkefPmafPmzXI4HBo/frxKS0slyaM1AAAAPOFVuOrevbs+//xzs2up0u7du3XzzTdrwIAB6tixox566CFdvHhR//znP7VlyxaFhobqscceU5cuXTRixAiNHj1aa9askSSVlpZq/fr1SktL0+DBg9WtWzctXbpU2dnZ2rVrlyTVuAYAAICnvApXjzzyiNavX6/t27friy++0OnTpyv8MVPr1q31/vvv6+uvv5bdbtfLL7+sJk2aqFu3bsrMzFRiYqKs1v+7wtm/f3999dVXOnfunI4dO6ZLly4pKSnJtT8qKkrdu3fXgQMHJKnGNQAAADzl1T1XI0eOlMPh0COPPFLlzetZWVl1Kuz7Zs6cqfvuu08///nPZbFYFBISouXLl6tDhw7Kzs5WXFyc2/i2bdtKks6cOeN6n8N27dpVGFO+r6Y1rrnmGq/qtloD/32xLZYQt7+DCb03rt4N4/+ebGO1GnI6K/7sMgxJ3222WELkdNZ+LU+PY8jwfm4djl3VOE97r67+QNYYH/O1Ecz910fvXoWrefPmNegzAo8fP67mzZvrmWeeUUxMjLZu3app06bppZdeUnFxcYV7v8LCwiRdeVX5oqIiSap0zIULFySpxjW8ERJiqFWrSK/m+qOoqAhfl+Az9N54WK0WSVLLllV/b1otV8Y0b15979Wt5dFxrJY6za3Lsasa52nv5fNrOkYgamyP+doK5v7N7N2rcHXbbbeZVkBNzpw5owceeEAZGRnq16+fJKlHjx46fvy4li9frvDwcNeN6eXKA1HTpk0VHh4u6cq9V+Ufl4+JiLjyD1nTGt5wOJwqKLjs1Vx/YrGEKCoqQgUFRbLbHTVPaETovXH1bhiSzWaXJOXnX6r0zIxhSDa7XVaLRRcvFslmq7z36tby+Dg2e53menvsqsZ52nt19QeyxviYr41g7v/7vUdGhplyBsurcFV+r1J1EhISvFm6gsOHD6usrEw9evRw296rVy99+OGH+sEPfqDc3Fy3feWfx8TEyGazubZ16NDBbUzXrl0lSbGxsdWu4a3qfjgFGrvd0aj6qQ16bxy9G4Yh53dJwGZzuj6+eoy+21xd79Wt5elxnHJ6P7cOx65qnKe9V1d/Y9CYHvPeCOb+zQyVXoWrUaNGuX1zShVfONSse65iY2MlSf/+97/d3svws88+U6dOndSrVy9t3rxZdrtdlu9Oae/du1edO3dW69at1bx5czVr1kz79u1zhauCggIdPXpUKSkpkq4EwerWAAAA8JRX4eqFF16osO3y5cvKzMzUq6++quXLl9e5sHI9e/ZU37599eCDD2r27NmKjY3Vjh07tGfPHv35z39W+/bttXbtWs2cOVPjx4/XkSNHlJGRoblz50q6cq9VSkqK0tPTFR0drR/+8IdavHixYmNjNWTIEEnSiBEjql0DAADAU16Fq8TExEq3Dx48WE2bNtWqVau0evXqOhVWLiQkRKtWrdKyZcv08MMP68KFC4qLi1NGRoZ69eolSVq7dq0WLFig4cOHq02bNpoxY4aGDx/uWiMtLU02m02zZs1ScXGxEhIStG7dOoWGhkq68lIPNa0BAADgCa/fuLkq/fr103PPPWfqmi1atNDs2bM1e/bsSvf37NlTL7/8cpXzLRaLpk+frunTp1c5pqY1AAAAPGH6C1q89957ioxsfE/PBQAA8IRXZ64qe0Njh8Oh7OxsffPNN5owYUKdCwMAAAhEXoWryp56GxISori4OKWmpmrEiBF1LgwAACAQeRWuXnzxRbPrAAAAaBTqdEP7hx9+qP3796ugoEDR0dHq27evBg4caFZtAAAAAcercFVaWqpJkybpo48+ksViUatWrZSXl6fVq1erf//+Wr16dYX36gMAAAgGXj1bcPny5Tp48KCeeOIJHTlyRB999JEOHz6sP/3pT/rnP/+pVatWmV0nAABAQPAqXO3cuVOTJ0/Wrbfe6nq7GKvVqt/85jeaPHmyXn/9dVOLBAAACBRehavz58+re/fule7r3r27cnJy6lQUAABAoPIqXHXo0EEHDx6sdN+BAwfUrl27OhUFAAAQqLy6of33v/+9Fi1apPDwcA0bNkzXXHONzp07p507d+q5557T5MmTza4TAAAgIHgVrkaOHKmjR48qPT1dTz75pGu70+nU8OHD9Yc//MG0AgEAAAKJ1y/FsGDBAo0dO1b79+/XhQsXZBiGbrzxRnXp0sXsGgEAAAJGre65+ve//60RI0Zow4YNkqQuXbpo5MiRuuOOO/TUU09p6tSpOnHiRL0UCgAAEAg8Dldff/217rrrLp07d06dO3d22xcaGqoZM2YoPz9fd9xxB88WBAAAQcvjcLVmzRq1bNlSr7zyioYOHeq2LyIiQqNHj9Zf/vIXhYWFafXq1aYXCgAAEAg8Dld79uzR+PHjFR0dXeWYNm3aaOzYsfr4449NKQ4AACDQeByucnNz1alTpxrHxcXFKTs7uy41AQAABCyPw1V0dLRyc3NrHJeXl6cWLVrUqSgAAIBA5XG4SkhI0Pbt22sct2PHjirfGgcAAKCx8zhcjRo1Svv27dOiRYtUUlJSYX9paameeOIJffjhh7rzzjtNLRIAACBQePwioj169NDDDz+shQsX6tVXX1VSUpLat28vu92u06dPa9++fcrLy9N9992ngQMH1mfNAAAAfqtWr9B+5513qlu3blq3bp3effdd1xmsyMhIDRgwQGPHjlWvXr3qpVAAAIBAUOu3v+nbt6/69u0rSTp//rysVquioqJMLwwAACAQefXeguWqe80rAACAYFSr9xYEAABA9QhXAAAAJiJcAQAAmIhwBQAAYCLCFQAAgIkIVwAAACYiXAEAAJiIcAUAAGAiwhUAAICJCFcAAAAmIlwBAACYKGDC1Y4dO/SrX/1KPXr00LBhw/TWW2+59n399ddKTU1Vnz59NGDAAC1btkx2u91t/saNG/Xzn/9cPXv21B133KGjR4+67fdkDQAAgJoERLh69dVXNXPmTN1555164403dPPNN2vq1Kk6dOiQysrKNG7cOEnS5s2bNWfOHP35z3/WM88845r/yiuv6IknntB9992n7du3q3379hozZozOnz8vSR6tAQAA4AmrrwuoidPp1FNPPaW77rpLd955pyTpnnvuUWZmpvbv369vvvlGp0+f1pYtW9SiRQvFxcXp22+/1RNPPKGJEyeqSZMmevbZZ5WSkqJbb71VkrRw4ULdeOON2rp1q1JTU/X222/XuAYAAIAn/P7M1YkTJ/TNN9/olltucdu+bt06paamKjMzU9dff71atGjh2te/f38VFhYqKytL3377rb766islJSW59lutVvXr108HDhyQpBrXAAAA8JTfn7k6ceKEJOny5csaN26cjh49qvbt2+uee+5RcnKysrOzFRsb6zanbdu2kqQzZ87Iar3SYrt27SqMOXbsmCTVuEavXr28qt1q9fvsWiOLJcTt72BC742rd8OQDMOQJFmthpxOo9Ix+m6zxRIip7P2a3l6HEOG93PrcOyqxnnae3X1B7LG+JivjWDuvz569/twVVhYKEl68MEHNXnyZE2bNk1vv/22Jk2apA0bNqi4uFhRUVFuc8LCwiRJJSUlKioqkqQKl/bCwsJUUlIiSTWu4Y2QEEOtWkV6NdcfRUVF+LoEn6H3xsNqtUiSWras+nvTarkypnnz6nuvbi2PjmO11GluXY5d1ThPey+fX9MxAlFje8zXVjD3b2bvfh+uQkNDJUnjxo3T8OHDJUnXXXedjh49qg0bNig8PFylpaVuc8oDUdOmTRUeHi5JlY6JiLjyD1nTGt5wOJwqKLjs1Vx/YrGEKCoqQgUFRbLbHb4up0HRe+Pq3TAkm+3KM4Dz8y9VembGMCSb3S6rxaKLF4tks1Xee3VreXwcm71Oc709dlXjPO29uvoDWWN8zNdGMPf//d4jI8NMOYPl9+EqJiZGkhQXF+e2/b/+67/0wQcfKDExUZ999pnbvtzcXNfc8suBubm56tKli9uY8rVjY2OrXcNb1f1wCjR2u6NR9VMb9N44ejcMQ87vkoDN5nR9fPUYfbe5ut6rW8vT4zjl9H5uHY5d1ThPe6+u/sagMT3mvRHM/ZsZKv3+4ur111+vyMhIHT582G37Z599pg4dOighIUFHjx51XT6UpL179yoyMlLdunVT69at1blzZ+3bt8+132azKTMzUwkJCZJU4xoAAACe8vtwFR4ervHjx+uZZ57Rzp079Z///EerVq3Sxx9/rDFjxujGG29UmzZtdP/99+vYsWPavXu3lixZorFjx7rusxo7dqw2bNigV155RcePH9cjjzyi4uJi3X777ZLk0RoAgOqV3yQPBDu/vywoSZMmTVJERISWLl2qnJwcdenSRcuXL9cNN9wgSVq7dq3mzp2r3/3ud2rRooXuuOMOTZo0yTX/d7/7nS5evKhly5YpPz9fP/nJT7RhwwZFR0dLunLzek1rAACqZhiGtn5wXL8d/F+N7lIhUFsBEa4kacyYMRozZkyl+zp27Kj169dXO3/cuHGuV2H3dg0AQNUuFZf5ugTAL/j9ZUEAAIBAQrgCAAAwEeEKAADARIQrAAAAExGuAAAATES4AtCoGIbB6y0B8CnCFYBGwzAMZbyVpYy3sghYAHwmYF7nCgA8UVjEay0B8C3OXAEAAJiIcAUAAGAiwhUAAICJCFcAAAAmIlwBAACYiHAFIKDwOlYA/B3hCkDA4HWsAAQCXucKQEDhdawA+DvOXAEAAJiIcAUAAGAiwhUAAICJCFcAAAAmIlwBABoUL6eBxo5wBQBoMLycBoIBL8UAAGhQvJwGGjvOXAEAAJiIcAUAAGAiwhUAAICJCFcAAAAmIlwBAACYiHAFAABgIsIVAACAiQhXAAAAJiJcAQAAmIhwBQAAYCLCFQAAgIkIVwAAACYiXAEAAJgooMLViRMn1Lt3b23fvt21LSsrSykpKYqPj1dycrJeeOEFtzkOh0NPP/20Bg4cqPj4eE2YMEGnTp1yG1PTGgAAAJ4KmHBVVlamadOm6fLly65teXl5GjNmjDp06KBt27bp3nvvVXp6urZt2+Yas3LlSm3atEnz5s3T5s2b5XA4NH78eJWWlnq8BgAAgKesvi7AU8uXL1ezZs3ctm3ZskWhoaF67LHHZLVa1aVLF508eVJr1qzRiBEjVFpaqvXr12vatGkaPHiwJGnp0qUaOHCgdu3apZtvvrnGNQAAAGojIM5cHThwQC+//LIWLVrktj0zM1OJiYmyWv8vI/bv319fffWVzp07p2PHjunSpUtKSkpy7Y+KilL37t114MABj9YAAACoDb8/c1VQUKAZM2Zo1qxZateundu+7OxsxcXFuW1r27atJOnMmTPKzs6WpArz2rZt69pX0xrXXHON17VbrQGRXatlsYS4/R1M6N3/ejcMyTAMSZLVasjpNDzeX9Pc8jH6brPFEiKns/Z1eHocQ4b3c+tw7KrGedp7VfVX1VNt6vclf33MN5Rg7r8+evf7cDVnzhz17t1bt9xyS4V9xcXFatKkidu2sLAwSVJJSYmKiookqdIxFy5c8GgNb4WEGGrVKtLr+f4mKirC1yX4DL37F6vVIklq2bLy76/q9tc0V5Kslitjmjevvvc6H8dqqdPcuhy7qnGe9l4+/+pjVNWTtzX6gj8+5htSMPdvZu9+Ha527NihzMxMvf7665XuDw8Pd92YXq48EDVt2lTh4eGSpNLSUtfH5WMiIiI8WsNbDodTBQWXax7o5yyWEEVFRaigoEh2u8PX5TQoeve/3g1DstnskqT8/EsVzq5Ut7+mua4xdrusFosuXiySzVZ576Ycx2av01xvj13VOE97r6r+qnqqTf2+5K+P+YYSzP1/v/fIyDBTzmD5dbjatm2bvv32W9fN6OVmz56tN998U7GxscrNzXXbV/55TEyMbDaba1uHDh3cxnTt2lWSalyjLqr74RRo7HZHo+qnNujdf3o3DEPO7/43ttmcro892V/T3PIx+m5zdb2bcRynnN7PrcOxqxrnae9V1V9VT7Wp3x/422O+oQVz/2aGSr8OV+np6SouLnbbNmTIEKWlpenWW2/Vq6++qs2bN8tut8vy3ensvXv3qnPnzmrdurWaN2+uZs2aad++fa5wVVBQoKNHjyolJUWSlJCQUO0aAAAAteHXd67FxMSoY8eObn8kqXXr1oqJidGIESNUWFiomTNn6vjx49q+fbsyMjKUmpoq6cq9VikpKUpPT9e7776rY8eOacqUKYqNjdWQIUMkqcY1AAAAasOvz1zVpHXr1lq7dq0WLFig4cOHq02bNpoxY4aGDx/uGpOWliabzaZZs2apuLhYCQkJWrdunUJDQz1eAwAAwFMBF67+/e9/u33es2dPvfzyy1WOt1gsmj59uqZPn17lmJrWAAAA8JRfXxYEAAAINIQrAAAAExGuAAAATES4AgAAMBHhCgAAwESEKwAAABMRrgAAAExEuAIAADAR4QoAAMBEhCsAAAATEa4AAABMRLgCAAAwEeEKAADARIQrAAAAExGuAAAATES4AgAAMBHhCgAAwESEKwAAABMRrgAAAExEuAIAADAR4QoAAMBEhCsAAAATEa4AAABMRLgCAAAwEeEKAADARIQrAIDfMQzD1yUAXiNcAQD8imEY2vrBcQIWAhbhCgDgdy4Vl/m6BMBrhCsAAAATEa4AAABMRLgCAAAwEeEKAADARIQrAAAAExGuAAAATES4AgAAMBHhCgAAwEQBEa7y8/P16KOPatCgQerTp49GjhypzMxM1/49e/botttuU69evTR06FC98cYbbvNLSko0d+5cJSUlqXfv3nrggQd0/vx5tzE1rQEAAOCJgAhXU6dO1aFDh7RkyRJt27ZN1113ncaNG6cvv/xSX3zxhVJTUzVw4EBt375dv/3tbzVjxgzt2bPHNX/OnDn66KOPtHz5cj3//PP68ssvlZaW5trvyRoAAACesPq6gJqcPHlSH3/8sTZt2qS+fftKkv74xz/q73//u15//XV9++236tq1q6ZMmSJJ6tKli44ePaq1a9cqKSlJOTk52rFjh5599ln169dPkrRkyRINHTpUhw4dUu/evfX8889XuwYAAICn/P7MVatWrbRmzRr16NHDtc0wDBmGoYKCAmVmZlYIQP3799fBgwfldDp18OBB17ZynTt3VkxMjA4cOCBJNa4BAADgKb8/cxUVFaWf/vSnbtvefvttnTx5Uo888oheeeUVxcbGuu1v27atioqKlJeXp5ycHLVq1UphYWEVxmRnZ0uSsrOzq10jOjraq9qtVr/PrjWyWELc/g4m9O5/vRvGlV+uJMlqNeR0Gh7vr2lu+Rh9t9liCVFVv1uZcRxDhvdz63DsqsZ52ntV9VfVU23qr279+uavj/mGEsz910fvfh+urvbJJ5/o4Ycf1pAhQzR48GAVFxerSZMmbmPKPy8tLVVRUVGF/ZIUFhamkpISSapxDW+EhBhq1SrSq7n+KCoqwtcl+Ay9+xer1SJJatmy8u+v6vbXNFeSrJYrY5o3r773Oh/HaqnT3Locu6pxnvZePv/qY1TVkzc1erqW2fzxMd+Qgrl/M3sPqHC1e/duTZs2TX369FF6erqkKyHp6gBU/nlERITCw8MrDUglJSWKiIjwaA1vOBxOFRRc9mquP7FYQhQVFaGCgiLZ7Q5fl9Og6N3/ejcMyWazS5Ly8y9VOLtS3f6a5rrG2O2yWiy6eLFINlvlvZtyHJu9TnO9PXZV4zztvar6q+qpNvVXt35989fHfEMJ5v6/33tkZJgpZ7ACJly99NJLWrBggYYOHarHH3/cdWapXbt2ys3NdRubm5urpk2bqnnz5oqNjVV+fr5KS0vdzk7l5uYqJibGozW8Vd0Pp0BjtzsaVT+1Qe/+07thGK77IG02Z4V7IqvbX9Pc8jH6bnN1vZtxHKec3s+tw7GrGudp71XVX1VPtam/uvUbir895htaMPdvZqgMiIurmzZt0rx583TnnXdqyZIlbiGpX79+2r9/v9v4vXv3qk+fPgoJCVHfvn3lcDhcN7ZL0okTJ5STk6OEhASP1gAAAPCU3yeHEydOaOHChfrFL36h1NRUnTt3TmfPntXZs2d18eJFjRo1SkeOHFF6erq++OILrV+/Xn/96181fvx4SVJMTIyGDRumWbNmad++fTpy5IimTp2qxMRExcfHS1KNawAAAHjK7y8Lvv322yorK9M777yjd955x23f8OHDtWjRIq1cuVKLFy/W888/r/bt22vx4sVuL60wb948LVy4UJMnT5YkDRo0SLNmzXLt//GPf1zjGgAAAJ7w+3A1ceJETZw4sdoxgwYN0qBBg6rc37RpU82fP1/z58/3eg0ADaf8qfq8zhyuxmMDgcDvLwsCCC6GYSjjrSxlvJXl+o8UkHhsIHD4/ZkrAMGnsKjM1yXAT/HYQCDgzBUAAICJCFcAAAAmIlwBAACYiHAFAABgIsIVAACAiQhXAAAAJiJcAQAAmIhwBQAAYCLCFQAAgIkIVwAAACYiXAEAAJiIcAUAAGAiwhUAAICJCFcAAAAmIlwBAACYiHAFAABgIsIVAACAiQhXAAAAJiJcAQAAmIhwBQAAYCLCFQAAgIkIVwCARskwDF+XgCBFuAIANDqGYWjrB8cJWPAJwhUAoFG6VFzm6xIQpAhXABoMZxEABAPCFYAGwWUaAMGCcAWgwXCZBkAwIFwBAACYiHAFAABgIsIVAACAiQhXAOoFN67DHxmGwWMT9Y5wBcB0PDMQ/sgwDGW8laWMt7J4bKJeWX1dAIDGiWcGwh8VFvG4RP3jzBUAAICJCFffcTgcevrppzVw4EDFx8drwoQJOnXqlK/LAgAAAYZw9Z2VK1dq06ZNmjdvnjZv3iyHw6Hx48ertLTU16UBfoObgREseKyjLghXkkpLS7V+/XqlpaVp8ODB6tatm5YuXars7Gzt2rXL1+UBfoGbgREsqnqsE7jgKcKVpGPHjunSpUtKSkpybYuKilL37t114MABH1YGeMes/wSuXqKwqIwbghEUrn6s1/aXC0JYcDOcTqfT10X42q5du/Q///M/Onz4sMLDw13b77vvPhUXF2v16tW1XtPpdMrhCPx/WsOQQkJC5HA4FGyPlEDt3TD+7xlRzSJCvar9yho2SU7XGoYhFVy6sm5UZPXrltfw/eNXtq2quVUdp6Ya6jL3+2MMQ2retOo6zThOZf8WtanR22NXNc7T3quq34yvb3Xr16a/6mqs7t+u/Ptdqvrfx9NjXyqyKTLCGjA/OwL1550Zvt+7Wb+Y8lIMkoqKiiRJTZo0cdseFhamCxcueLWmYRiyWBrPby4hIcF7kjMQe4+KDDNhjSYVtrVs7vm6ldXgaV3VHaemGuoy19MxZhynqn+LutZYl/r94etb01p1rbGm+eXf73X992leyfdPIAjEn3dmMbP34P1X/J7ys1VX37xeUlKiiIgIX5QEAAACFOFKUrt27SRJubm5bttzc3MVExPji5IAAECAIlxJ6tatm5o1a6Z9+/a5thUUFOjo0aNKSEjwYWUAACDQcM+VrtxrlZKSovT0dEVHR+uHP/yhFi9erNjYWA0ZMsTX5QEAgABCuPpOWlqabDabZs2apeLiYiUkJGjdunUKDQ31dWkAACCA8FIMAAAAJuKeKwAAABMRrgAAAExEuAIAADAR4QoAAMBEhCsAAAATEa4AAABMRLgCAAAwEeEKLqtXr9aoUaOqHZOXl6cHHnhACQkJSkxM1Ny5c1VUVNRAFdYfT3r//PPP9Yc//EE33HCDkpKSlJaWptOnTzdQhfXHk96/77XXXlPXrl319ddf12NVDcOT3svKyvTkk09q4MCBio+PV0pKirKyshqowvrjSe/ffvutHnjgAfXv31833HCDpkyZopycnAaq0Fz5+fl69NFHNWjQIPXp00cjR45UZmZmleO//vprpaamqk+fPhowYICWLVsmu93egBWbp7a9f/LJJxo1apT69u2rgQMHaubMmcrPz2+4gk1U296/b9WqVeratatXxyVcQZK0ceNGLVu2rMZxaWlpOnnypDIyMvTUU0/pb3/7m+bMmVPv9dUnT3rPy8vTmDFjFB4erhdffFHPPfeczp8/r/Hjx6ukpKRhCq0Hnn7dy33zzTd67LHH6q+gBuRp73PmzNH27du1cOFCbdu2TdHR0ZowYYIuXrxY/0XWE097v//++3X69Glt2LBBGzZs0OnTp3XvvffWf4H1YOrUqTp06JCWLFmibdu26brrrtO4ceP05ZdfVhhbVlamcePGSZI2b96sOXPm6M9//rOeeeaZhi7bFLXp/cSJExo3bpy6du2qLVu2aOnSpTpy5Ijuu+8+H1Red7Xp/fuOHDmiFStWeH9gJ4Jadna2MzU11RkfH+8cOnSoMyUlpcqxn3zyiTMuLs55/Phx17a///3vzq5duzqzs7MbolxT1ab3LVu2OHv37u0sKipybTt9+rQzLi7O+Y9//KMhyjVVbXovZ7fbnSNHjnTeddddzri4OOepU6caoFLz1ab3//znP86uXbs633//fde2CxcuOH/2s581+q/7hQsXnHFxcc53333XtW337t3OuLg4Z15eXgNUa56vvvrKGRcX58zMzHRtczgczhtvvNG5bNmyCuNff/11509+8hNnfn6+a9vmzZudffr0cZaUlDRIzWapbe9LlixxDhkyxOlwOFzbDhw44IyLi3P+5z//aZCazVLb3stdunTJOWTIENfPOm9w5irIffrppwoNDdVrr72mXr16VTs2MzNTbdq0UZcuXVzbEhMTZRiGDh48WN+lmq42vSclJWnlypUKDw93bQsJufLtU1BQUK911ofa9F7u2WefVVlZmVJTU+u5uvpVm94//vhjNW/eXIMGDXJti4qK0nvvvaekpKT6LtV0tek9PDxckZGR2rFjhwoLC1VYWKhXX31VnTt3VlRUVANVbI5WrVppzZo16tGjh2ubYRgyDKPS79/MzExdf/31atGihWtb//79VVhYGHCXhGvb+6233qrHH39chmG4jZekCxcu1H/BJqpt7+UWLFiguLg4/frXv/b62Lxxc5BLTk5WcnKyR2NzcnLUrl07t21NmjRRy5YtdebMmfoor17Vpvf27durffv2btvWrFmj8PBwJSQk1Ed59ao2vUtXTpGvX79ef/nLXwL2nptyten9xIkTuvbaa7Vr1y6tWbNGOTk56t69ux566CG3XzICRW16b9KkiRYtWqRHH31U/fr1k2EYatu2rV566SXXLxaBIioqSj/96U/dtr399ts6efKkHnnkkQrjs7OzFRsb67atbdu2kqQzZ854/AuJP6ht75U9rp977jm1adPG6/uPfKW2vUvSrl279Le//U2vv/663n//fa+PHVjfIfCpoqIiNWnSpML2sLCwgL7vyBsvvviiXnrpJU2bNk3R0dG+LqdeXb58WdOmTdO0adPUqVMnX5fToAoLC3Xy5EmtXLlSU6dO1apVq2S1WnXHHXfo22+/9XV59crpdCorK0u9e/fWxo0b9fzzz+sHP/iBJk2apMLCQl+XVyeffPKJHn74YQ0ZMkSDBw+usL+4uLjCz7qwsDBJCvifdTX1frXHH39cH3zwgebMmaPQ0ND6L7Ae1dR7Tk6OHn30US1cuFCtWrWq07EIV/BYeHi4SktLK2wvKSlR06ZNfVBRw3M6nVq2bJnmz5+ve+65p1bPsgtU8+fPV+fOnfX73//e16U0OKvVqsLCQi1dulQDBgxQz549tXTpUknSK6+84uPq6tdbb72ll156SYsXL1bfvn2VmJioZ599Vt98843+8pe/+Lo8r+3evVtjx45VfHy80tPTKx1T2c+68lAVyD/rPOm9XFlZmR5++GFlZGRo3rx5uvHGGxuoyvpRU+9Op1MPPfSQbrrpJrfbALzFZUF4LDY2Vrt373bbVlpaqvz8fNcp88as/IfNzp079fDDD2v06NG+LqlBbNu2TU2aNFHv3r0lyfV09JtvvlkTJ07UxIkTfVlevYqNjZXVanW7VBIeHq5rr722UbwURXUyMzPVuXNnNWvWzLWtRYsW6ty5s06ePOnDyrz30ksvacGCBRo6dKgef/zxSs/ES1e+7p999pnbttzcXElSTExMvddZHzztXbpyxnby5MnKzMzUkiVLdNNNNzVgpebzpPfTp0/rH//4hz755BPt2LFDkmSz2SRJvXv31ty5c3Xrrbd6fEzCFTyWkJCg9PR0nTx5Uh07dpQk7d+/X5LUt29fX5bWIGbMmKF33nlHTz75pIYNG+brchrMrl273D4/fPiwpk+frjVr1iguLs5HVTWMhIQE2Ww2/e///q/rptji4mKdOnWq0T8GYmNj9cYbb6ikpMR1Sezy5cv6+uuva/WfjL/YtGmT5s2bp1GjRmnmzJluN2xfLSEhwXUjf3m43Lt3ryIjI9WtW7eGKtk0tem9tLRUqampysrK0rp163TDDTc0YKXm87T3mJiYCj/rdu3apfT0dO3YsUOtW7eu1XG5LIgq2e12nT17VsXFxZKkXr16qU+fPpoyZYqOHDmivXv36tFHH9VvfvObgP1tripX9759+3a9+eabmjJlihITE3X27FnXn/IxjcXVvXfs2NHtT/nX+gc/+IFatmzpw0rNd3Xv/fr103//93/rwQcfVGZmpo4fP64ZM2bIYrHU6ZlE/ujq3n/zm99IuvJaV8eOHdOxY8c0depUhYWF6bbbbvNhpbV34sQJLVy4UL/4xS+Umpqqc+fOub5/L168qNLSUp09e9Z1KfDGG29UmzZtXL3v3r1bS5Ys0dixY6s94+OPatv76tWrdfDgQc2bN08/+tGP3H7WVXZbiD+rTe9Wq7XCz7ryQNWxY0e3M7ieIFyhSmfOnNGAAQP05ptvSrryFNYVK1aoffv2uvvuu3X//fdr0KBBAf8iopW5uvedO3dKkp544gkNGDDA7U/5mMbi6t6DSWW9L1++XImJiZo8ebJuv/12FRYW6oUXXmh0T2S4uve2bdtq06ZNcjqduvvuuzVmzBiFhoZq06ZNat68uY+rrZ23335bZWVleueddyp8/y5YsECHDh3SgAEDdOjQIUlXbl5fu3atHA6Hfve732nu3Lm64447NGnSJB93Unu17X3nzp1yOp2aOnVqhfHlYwJFbXs3k+F0Op2mrwoAABCkOHMFAABgIsIVAACAiQhXAAAAJiJcAQAAmIhwBQAAYCLCFQAAgIkIVwDgY7wiDtC4EK4ANGrJycl66KGH6rTG9u3b1bVr11q9n6Cnc1auXKl169bVqT4A/oVwBQA1GDx4sF5++eV6eYPyp556SkVFRaavC8B3eONmAKhBdHR0o3u7GwD1hzNXABq9srIyPfHEE/p//+//KT4+XmPHjtXJkydd+zMzM5WSkqJevXopMTFRDz74oM6fP+/aX9klvldeeUW/+tWv1KNHD916663as2ePunfvru3bt7sd+/Dhw/r973+vHj16aPDgwVq7dq1rX9euXSVJK1ascH0MIPARrgA0em+++aY+//xzLVq0SLNnz9a//vUvTZkyRZJ04MABjR49WuHh4Vq2bJkeeeQR7d+/X3fddZeKi4srXW/Hjh166KGH1KdPH61cuVK//OUvNWnSJNnt9gpj58yZo2HDhmnNmjXq3bu3Fi9erPfff1+S9PLLL0uSbr/9dtfHAAIflwUBNHoxMTFauXKlQkNDJUknT57UqlWrVFhYqCeffFKdO3fW6tWrZbFYJEm9evXSsGHDtG3bNt15550V1nvqqaf0s5/9TPPnz5ckDRw4UKGhoXryyScrjJ06dapGjhwpSYqPj9c777yjvXv36mc/+5ni4+MlSbGxsa6PAQQ+zlwBaPR69uzpClaS1L59e0lSQUGBDh8+rJ/+9KdyOp2y2Wyy2Wy69tpr1aVLF3388ccV1jp58qROnz6toUOHum0fNmxYpcfu16+f6+OIiAhdc801KigoMKMtAH6KM1cAGr2mTZu6fR4ScuX3yjNnzsjhcOi5557Tc889V2FeWFhYhW3l92K1bt3abfs111xT6bEjIiIqHJvXtQIaN8IVgKDVrFkzGYah0aNHV3rm6epgJF25hCdJ3377rdv2qz8HELy4LAggaEVGRqp79+768ssv1aNHD9efH//4x1q+fLn27dtXYU5sbKw6dOigd955x237rl27vKqh/CwagMaD72oAQW3q1Kn66KOP9MADD+hvf/ub3nvvPY0fP1579uzR9ddfX2G8YRhKS0vT7t27NXv2bH300Udau3atnnrqKUm1D0tRUVH65JNPdODAAS4XAo0E4QpAUBswYIDWrVun7OxspaWlacaMGbJYLNqwYUOVz+C75ZZb9Nhjj2nPnj2aOHGi3njjDc2cOVNSxfu7ajJx4kT961//0oQJE3TmzJm6tgPADxhOflUCgFrZuXOnunfvrh/96EeubR988IFSU1P16quvqlu3bj6sDoCvEa4AoJb+8Ic/6IsvvtD999+vdu3a6eTJk3r66afVoUMHvfjii74uD4CPEa4AoJby8vL05JNP6sMPP9T58+d1zTXX6Je//KXS0tIUGRnp6/IA+BjhCgAAwETc0A4AAGAiwhUAAICJCFcAAAAmIlwBAACYiHAFAABgIsIVAACAiQhXAAAAJiJcAQAAmIhwBQAAYKL/D6lBbfjIDw3gAAAAAElFTkSuQmCC",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.histplot(data=people, x=\"height\")"
]
},
{
"cell_type": "markdown",
"id": "9b0c9120-fff4-42b2-8ab6-3aa2eba47806",
"metadata": {},
"source": [
"**1.5.1.** Plot a bar chart showing peoples' average hours of sleep by age. "
]
},
{
"cell_type": "code",
"execution_count": 57,
"id": "ee30c851-14b1-4901-9182-4304d54d53a6",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='age', ylabel='sleep'>"
]
},
"execution_count": 57,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=people, x=\"age\", y=\"sleep\", ci=None)"
]
},
{
"cell_type": "markdown",
"id": "15d94323-2d65-4100-9916-101516f6ccf1",
"metadata": {},
"source": [
"**1.5.2.** Plot a bar chart showing peoples' likelihood of getting exercise by income. "
]
},
{
"cell_type": "code",
"execution_count": 59,
"id": "13eeecd8-2518-4ed9-aac5-727a96b5bf80",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='income', ylabel='exercise'>"
]
},
"execution_count": 59,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=people, x=\"income\", y=\"exercise\", ci=None)"
]
},
{
"cell_type": "markdown",
"id": "b2705fef-470d-494c-86c1-8b3bd34b3660",
"metadata": {},
"source": [
"**1.5.3.** Plot a bar chart showing average reported health by age. For each age, show average health for those who get exercise and those who don't."
]
},
{
"cell_type": "code",
"execution_count": 64,
"id": "4ee2eb69-2f9a-42e7-b5d3-9499631bfd06",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='age', ylabel='health'>"
]
},
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=people, x=\"age\", y=\"health\", hue=\"exercise\", ci=None)"
]
},
{
"cell_type": "markdown",
"id": "84b1e240-4f75-4c86-8c1f-1026aa223717",
"metadata": {},
"source": [
"**1.5.4.** Create a plot showing the number of people at each income level, for each education level. "
]
},
{
"cell_type": "code",
"execution_count": 68,
"id": "d7e02da8-beab-40e7-95d0-74a5c2bc838e",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='income', ylabel='count'>"
]
},
"execution_count": 68,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.countplot(data=people, x=\"income\", hue=\"education\")"
]
},
{
"cell_type": "markdown",
"id": "ac717580-4157-402c-9262-b2b50dfe606f",
"metadata": {},
"source": [
"**1.5.5.** Plot side-by-side scatter plots showing the relationship between height and weight for males and females. (There are so many overlapping dots that the plot will be more informative if you lower the opacity of each dot. Try using `alpha=0.1` and `edgecolor=None`.)"
]
},
{
"cell_type": "code",
"execution_count": 70,
"id": "b00dd7d6-226b-469c-86d8-b71b328aa576",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/Cory/Library/Caches/pypoetry/virtualenvs/lab-pokemon-f7_67gh8-py3.11/lib/python3.11/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 0x12b0d7a50>"
]
},
"execution_count": 70,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 1000x500 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sex = people[people.sex.isin([\"male\",\"female\"])]\n",
"sns.relplot(data=sex, x=\"height\", y=\"weight\", col=\"sex\", alpha=0.1, edgecolor=None)"
]
},
{
"cell_type": "markdown",
"id": "e9ff7225-5d08-428b-90e8-ee60f4a4049a",
"metadata": {},
"source": [
"## 2. Crafting a data argument\n",
"\n",
"Everything up to here are just tools, worthless without a clear research question and a convincing argument. Choose a research question that interests you which might be answerable using the `people` dataset. Then do your best to find the answer in the space below. This answer should include data analysis (code cells) as well as written argument (text cells) explaining what the data means and why you believe it answers your question. \n",
"\n",
"Examples of research questions might include:\n",
"\n",
"- Do older people tend to have higher incomes?\n",
"- Do people who sleep at least 6 hours a night tend to report better health? \n",
"- Is it more common for males to be bisexual than females?\n",
"\n",
"**A note of caution:** this lab has given you tools for exploring associations--patterns that tend to co-occur. These tools *do not* equip you to argue that one variable causes another to change. For example: Plot 1.5.4 showed that people who are taller also tend to be heaver, with a lot of individual variation. But are people heavier *because* they are taller? Are they taller because they are heavier? Or maybe neither variable causes the other--perhaps they're both caused by something else. If you want to be able to answer questions like these, take a course on statistics."
]
},
{
"cell_type": "markdown",
"id": "43872f9b-b7d0-4d79-aed7-da7cf1dc6ed4",
"metadata": {},
"source": [
"Research Question: Is it more common for males to be bisexual than females?"
]
},
{
"cell_type": "markdown",
"id": "0c9f9e21-7f56-49cb-a7c9-dcfb77245aec",
"metadata": {},
"source": [
"We will look at the percentage of males that are bisexual and the percentage of females that are bisexual to see if there is a difference."
]
},
{
"cell_type": "code",
"execution_count": 90,
"id": "69d2dc5f-0891-4999-9e21-00a6403c4add",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"sex sexual_orientation\n",
"female heterosexual 0.924042\n",
" bisexual 0.031818\n",
" other 0.029620\n",
" homosexual 0.014521\n",
"male heterosexual 0.937084\n",
" other 0.024501\n",
" homosexual 0.022451\n",
" bisexual 0.015963\n",
"Name: sexual_orientation, dtype: float64"
]
},
"execution_count": 90,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people.groupby(\"sex\").sexual_orientation.value_counts(normalize=True)"
]
},
{
"cell_type": "markdown",
"id": "fb245799-ac0d-4ed2-823a-c9cd0e7d39c0",
"metadata": {},
"source": [
"3.1818% of females in the sample identify as bisexual, and 1.5963% of males in the sample identify as bisexual. The probability a randomly selected male from the sample is bisexual is about half the probability a randomly selected female from the sample is bisexual."
]
},
{
"cell_type": "markdown",
"id": "8f1a20e8-b1be-460a-acc7-acba1652f0f1",
"metadata": {},
"source": [
"It is not more common for males to be bisexual than females."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fad5a7f1-1923-420e-bbe4-fa2b8eab449f",
"metadata": {
"tags": []
},
"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": "3.11.4"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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