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{
"cells": [
{
"cell_type": "markdown",
"id": "90041b00-672b-4bd4-a8e8-0cab3f0548af",
"metadata": {},
"source": [
"# Lab 04: Data Science Tools\n",
"\n",
"## 0. Jupyter Notebooks\n",
"\n",
"Welcome to your first Jupyter notebook! Notebooks are made up of cells. Some cells contain text (like this one) and others contain Python code. \n",
"\n",
"Each cell can be in two different modes: editing or running. To edit a cell, double-click on it. When you're done editing, press **shift+Enter** to run it. You can use [Markdown](https://www.markdownguide.org/cheat-sheet/) to add basic formatting to the text. Before you go on, try editing the text in this cell."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "5923b0d7-c0e0-48fa-b765-4aa6002c2d4f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"11"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Other cells are code cells, containing Python code. (This is a comment, of course!)\n",
"# Try running this cell (again, shift+Enter). You'll see the result of the final statement \n",
"# printed below the cell. \n",
"# Then try changing the Python code and re-run it.\n",
"\n",
"1+10"
]
},
{
"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": 3,
"id": "0e2a2927-f6d1-4b13-97ae-ff97416723e9",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"10"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Cell A\n",
"x = 10\n",
"x"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "69dd7908-b213-4d0f-8016-e46a4a491961",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"40"
]
},
"execution_count": 5,
"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": 7,
"id": "ba09a0f8-27d9-456f-aeff-3980e3362d5b",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "a29d508a-2d9a-4d62-9ff6-7a0ecfd5eba4",
"metadata": {},
"outputs": [],
"source": [
"pokemon = pd.read_csv(\"pokemon.csv\")\n",
"people = pd.read_csv(\"brfss_2020.csv\")"
]
},
{
"cell_type": "markdown",
"id": "d4e0b811-b8bf-4e9a-a934-3aad8f0520bb",
"metadata": {},
"source": [
"### 1.1 A first look\n",
"\n",
"#### Demo\n",
"\n",
"Let's start by learning the *shape* of the data. How many columns are there? How many rows? What kinds of data are included?"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "579d8dda-ca39-48b1-8819-b17651029729",
"metadata": {},
"outputs": [
{
"data": {
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" <th></th>\n",
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" <th>subtype</th>\n",
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" <td>Venusaur</td>\n",
" <td>Grass</td>\n",
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" <td>525</td>\n",
" <td>80</td>\n",
" <td>82</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>VenusaurMega Venusaur</td>\n",
" <td>Grass</td>\n",
" <td>Poison</td>\n",
" <td>625</td>\n",
" <td>80</td>\n",
" <td>100</td>\n",
" <td>123</td>\n",
" <td>122</td>\n",
" <td>120</td>\n",
" <td>80</td>\n",
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" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Charmander</td>\n",
" <td>Fire</td>\n",
" <td>NaN</td>\n",
" <td>309</td>\n",
" <td>39</td>\n",
" <td>52</td>\n",
" <td>43</td>\n",
" <td>60</td>\n",
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" <tr>\n",
" <th>795</th>\n",
" <td>Diancie</td>\n",
" <td>Rock</td>\n",
" <td>Fairy</td>\n",
" <td>600</td>\n",
" <td>50</td>\n",
" <td>100</td>\n",
" <td>150</td>\n",
" <td>100</td>\n",
" <td>150</td>\n",
" <td>50</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>796</th>\n",
" <td>DiancieMega Diancie</td>\n",
" <td>Rock</td>\n",
" <td>Fairy</td>\n",
" <td>700</td>\n",
" <td>50</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>110</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>797</th>\n",
" <td>HoopaHoopa Confined</td>\n",
" <td>Psychic</td>\n",
" <td>Ghost</td>\n",
" <td>600</td>\n",
" <td>80</td>\n",
" <td>110</td>\n",
" <td>60</td>\n",
" <td>150</td>\n",
" <td>130</td>\n",
" <td>70</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>798</th>\n",
" <td>HoopaHoopa Unbound</td>\n",
" <td>Psychic</td>\n",
" <td>Dark</td>\n",
" <td>680</td>\n",
" <td>80</td>\n",
" <td>160</td>\n",
" <td>60</td>\n",
" <td>170</td>\n",
" <td>130</td>\n",
" <td>80</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
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" <tr>\n",
" <th>799</th>\n",
" <td>Volcanion</td>\n",
" <td>Fire</td>\n",
" <td>Water</td>\n",
" <td>600</td>\n",
" <td>80</td>\n",
" <td>110</td>\n",
" <td>120</td>\n",
" <td>130</td>\n",
" <td>90</td>\n",
" <td>70</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>800 rows × 12 columns</p>\n",
"</div>"
],
"text/plain": [
" name type subtype total hp attack defense \\\n",
"0 Bulbasaur Grass Poison 318 45 49 49 \n",
"1 Ivysaur Grass Poison 405 60 62 63 \n",
"2 Venusaur Grass Poison 525 80 82 83 \n",
"3 VenusaurMega Venusaur Grass Poison 625 80 100 123 \n",
"4 Charmander Fire NaN 309 39 52 43 \n",
".. ... ... ... ... .. ... ... \n",
"795 Diancie Rock Fairy 600 50 100 150 \n",
"796 DiancieMega Diancie Rock Fairy 700 50 160 110 \n",
"797 HoopaHoopa Confined Psychic Ghost 600 80 110 60 \n",
"798 HoopaHoopa Unbound Psychic Dark 680 80 160 60 \n",
"799 Volcanion Fire Water 600 80 110 120 \n",
"\n",
" special_attack special_defense speed generation legendary \n",
"0 65 65 45 1 False \n",
"1 80 80 60 1 False \n",
"2 100 100 80 1 False \n",
"3 122 120 80 1 False \n",
"4 60 50 65 1 False \n",
".. ... ... ... ... ... \n",
"795 100 150 50 6 True \n",
"796 160 110 110 6 True \n",
"797 150 130 70 6 True \n",
"798 170 130 80 6 True \n",
"799 130 90 70 6 True \n",
"\n",
"[800 rows x 12 columns]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon"
]
},
{
"cell_type": "markdown",
"id": "ee8b0718-56f9-4fc8-bd35-fa0ccb445179",
"metadata": {},
"source": [
"OK, 800 Pokémon, with 12 columns for each. And you can see all the columns. Not all the data is shown in this preview, of course. If there were more columns than could be displayed, you could see them all by typing `pokemon.columns`. \n",
"\n",
"#### Your turn\n",
"\n",
"Now do the same for your data set, `people`."
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "c9e5e4ec-b197-450c-ae2d-318006fa0a2f",
"metadata": {},
"outputs": [
{
"data": {
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" <thead>\n",
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" <th></th>\n",
" <th>age</th>\n",
" <th>sex</th>\n",
" <th>income</th>\n",
" <th>education</th>\n",
" <th>sexual_orientation</th>\n",
" <th>height</th>\n",
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" <td>7</td>\n",
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" <tr>\n",
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" <td>35</td>\n",
" <td>female</td>\n",
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" <td>heterosexual</td>\n",
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" <td>True</td>\n",
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" </tr>\n",
" <tr>\n",
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" <td>55</td>\n",
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" <td>heterosexual</td>\n",
" <td>1.83</td>\n",
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" <td>True</td>\n",
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" <tr>\n",
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" <td>55</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
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" <td>heterosexual</td>\n",
" <td>1.80</td>\n",
" <td>76.66</td>\n",
" <td>4</td>\n",
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" <td>True</td>\n",
" <td>8</td>\n",
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" <tr>\n",
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" <td>45</td>\n",
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" <td>1.63</td>\n",
" <td>86.18</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166421</th>\n",
" <td>25</td>\n",
" <td>male</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.78</td>\n",
" <td>86.18</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166422</th>\n",
" <td>25</td>\n",
" <td>female</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.91</td>\n",
" <td>45.36</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166423</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.60</td>\n",
" <td>68.04</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166424</th>\n",
" <td>35</td>\n",
" <td>male</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.75</td>\n",
" <td>86.18</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>166425 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" age sex income education sexual_orientation height weight \\\n",
"0 55 female 5 2 other 1.55 83.01 \n",
"1 65 female 8 1 heterosexual 1.65 78.02 \n",
"2 35 female 8 4 heterosexual 1.65 77.11 \n",
"3 55 male 8 4 heterosexual 1.83 81.65 \n",
"4 55 female 8 4 heterosexual 1.80 76.66 \n",
"... ... ... ... ... ... ... ... \n",
"166420 45 female 8 3 heterosexual 1.63 86.18 \n",
"166421 25 male 7 2 heterosexual 1.78 86.18 \n",
"166422 25 female 1 2 heterosexual 1.91 45.36 \n",
"166423 35 female 5 4 heterosexual 1.60 68.04 \n",
"166424 35 male 7 2 heterosexual 1.75 86.18 \n",
"\n",
" health no_doctor exercise sleep \n",
"0 2 True True 7 \n",
"1 3 False False 8 \n",
"2 4 True True 7 \n",
"3 5 False True 8 \n",
"4 4 False True 8 \n",
"... ... ... ... ... \n",
"166420 1 False False 6 \n",
"166421 4 False True 6 \n",
"166422 1 False False 8 \n",
"166423 4 True True 6 \n",
"166424 3 False False 8 \n",
"\n",
"[166425 rows x 11 columns]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people\n"
]
},
{
"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": 11,
"id": "9afca362-9edc-423c-981b-dc42107d5de0",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"generation\n",
"1 166\n",
"5 165\n",
"3 160\n",
"4 121\n",
"2 106\n",
"6 82\n",
"Name: count, dtype: int64"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pokemon.generation.value_counts()"
]
},
{
"cell_type": "markdown",
"id": "a9b98eee-bdc2-4c63-bab2-ee82e2466d0f",
"metadata": {},
"source": [
"For numeric data, we could start by looking at the mean value. We can select multiple columns and get all the column means at once."
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "5fe580d0-5939-4152-9f8c-4c32d35a4479",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"hp 69.25875\n",
"attack 79.00125\n",
"defense 73.84250\n",
"speed 68.27750\n",
"dtype: float64"
]
},
"execution_count": 12,
"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": 13,
"id": "dc69ef53-70cd-4ae0-80e7-c9c8e28de76f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"np.float64(0.08125)"
]
},
"execution_count": 13,
"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": 15,
"id": "8fbcc766-8399-4f93-a6c8-e0607250a72a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"age\n",
"65 0.336326\n",
"55 0.206369\n",
"45 0.157669\n",
"35 0.135527\n",
"25 0.108866\n",
"18 0.055244\n",
"Name: proportion, dtype: float64"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people.age.value_counts(normalize=True)\n"
]
},
{
"cell_type": "markdown",
"id": "38006e7b-4771-4c29-86a8-19d04a50fc25",
"metadata": {},
"source": [
"**1.2.1.** What are the mean height and weight of people in this survey?"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "b7f910c8-3d40-49ae-b270-678734c04100",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"height 1.705082\n",
"weight 83.053588\n",
"dtype: float64"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people.height.mean() \n",
"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": 17,
"id": "f3891188-a85f-4089-8388-d4d81c7438ad",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"np.float64(0.7858014120474688)"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people.exercise.mean()\n"
]
},
{
"cell_type": "markdown",
"id": "f6082e65-321c-4ee0-9457-74f9bb1b0363",
"metadata": {},
"source": [
"### 1.3 Filtering\n",
"\n",
"Sometimes we're just interested in a selection of the data set. The way to do this is to create a boolean series, and then use this to select which rows you want to include. Vocabulary note: A dataframe is two-dimensional, with rows and columns. A series (a single row or a single column) is one-dimensional. \n",
"\n",
"#### Demo\n",
"`pokemon.legendary` is already boolean, so we can use this to select just the legendary pokémon. "
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "12c0c6c9-c07b-4183-82f6-5e346c74aac9",
"metadata": {},
"outputs": [
{
"data": {
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>type</th>\n",
" <th>subtype</th>\n",
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" <th>158</th>\n",
" <td>Moltres</td>\n",
" <td>Fire</td>\n",
" <td>Flying</td>\n",
" <td>580</td>\n",
" <td>90</td>\n",
" <td>100</td>\n",
" <td>90</td>\n",
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" <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",
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" <td>780</td>\n",
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" <th>795</th>\n",
" <td>Diancie</td>\n",
" <td>Rock</td>\n",
" <td>Fairy</td>\n",
" <td>600</td>\n",
" <td>50</td>\n",
" <td>100</td>\n",
" <td>150</td>\n",
" <td>100</td>\n",
" <td>150</td>\n",
" <td>50</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>796</th>\n",
" <td>DiancieMega Diancie</td>\n",
" <td>Rock</td>\n",
" <td>Fairy</td>\n",
" <td>700</td>\n",
" <td>50</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>160</td>\n",
" <td>110</td>\n",
" <td>110</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>797</th>\n",
" <td>HoopaHoopa Confined</td>\n",
" <td>Psychic</td>\n",
" <td>Ghost</td>\n",
" <td>600</td>\n",
" <td>80</td>\n",
" <td>110</td>\n",
" <td>60</td>\n",
" <td>150</td>\n",
" <td>130</td>\n",
" <td>70</td>\n",
" <td>6</td>\n",
" <td>True</td>\n",
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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",
" <td>True</td>\n",
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" </tbody>\n",
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"<p>65 rows × 12 columns</p>\n",
"</div>"
],
"text/plain": [
" name type subtype total hp attack defense \\\n",
"156 Articuno Ice Flying 580 90 85 100 \n",
"157 Zapdos Electric Flying 580 90 90 85 \n",
"158 Moltres Fire Flying 580 90 100 90 \n",
"162 Mewtwo Psychic NaN 680 106 110 90 \n",
"163 MewtwoMega Mewtwo X Psychic Fighting 780 106 190 100 \n",
".. ... ... ... ... ... ... ... \n",
"795 Diancie Rock Fairy 600 50 100 150 \n",
"796 DiancieMega Diancie Rock Fairy 700 50 160 110 \n",
"797 HoopaHoopa Confined Psychic Ghost 600 80 110 60 \n",
"798 HoopaHoopa Unbound Psychic Dark 680 80 160 60 \n",
"799 Volcanion Fire Water 600 80 110 120 \n",
"\n",
" special_attack special_defense speed generation legendary \n",
"156 95 125 85 1 True \n",
"157 125 90 100 1 True \n",
"158 125 85 90 1 True \n",
"162 154 90 130 1 True \n",
"163 154 100 130 1 True \n",
".. ... ... ... ... ... \n",
"795 100 150 50 6 True \n",
"796 160 110 110 6 True \n",
"797 150 130 70 6 True \n",
"798 170 130 80 6 True \n",
"799 130 90 70 6 True \n",
"\n",
"[65 rows x 12 columns]"
]
},
"execution_count": 18,
"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": 19,
"id": "5d089acf-7b76-4f91-8803-42a4a9a11e3e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 False\n",
"1 False\n",
"2 False\n",
"3 False\n",
"4 False\n",
" ... \n",
"795 False\n",
"796 False\n",
"797 False\n",
"798 False\n",
"799 False\n",
"Name: type, Length: 800, dtype: bool"
]
},
"execution_count": 19,
"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": 20,
"id": "510fa0fc-2b38-4725-9bbf-ec57d62792be",
"metadata": {},
"outputs": [
{
"data": {
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" <tr>\n",
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" <td>Delibird</td>\n",
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" <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",
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" <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",
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" <td>3</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>398</th>\n",
" <td>Spheal</td>\n",
" <td>Ice</td>\n",
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" <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",
" <td>True</td>\n",
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" <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",
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" <td>65</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>524</th>\n",
" <td>Mamoswine</td>\n",
" <td>Ice</td>\n",
" <td>Ground</td>\n",
" <td>530</td>\n",
" <td>110</td>\n",
" <td>130</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>60</td>\n",
" <td>80</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>530</th>\n",
" <td>Froslass</td>\n",
" <td>Ice</td>\n",
" <td>Ghost</td>\n",
" <td>480</td>\n",
" <td>70</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>110</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>643</th>\n",
" <td>Vanillite</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>305</td>\n",
" <td>36</td>\n",
" <td>50</td>\n",
" <td>50</td>\n",
" <td>65</td>\n",
" <td>60</td>\n",
" <td>44</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>644</th>\n",
" <td>Vanillish</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>395</td>\n",
" <td>51</td>\n",
" <td>65</td>\n",
" <td>65</td>\n",
" <td>80</td>\n",
" <td>75</td>\n",
" <td>59</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>645</th>\n",
" <td>Vanilluxe</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>535</td>\n",
" <td>71</td>\n",
" <td>95</td>\n",
" <td>85</td>\n",
" <td>110</td>\n",
" <td>95</td>\n",
" <td>79</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>674</th>\n",
" <td>Cubchoo</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>305</td>\n",
" <td>55</td>\n",
" <td>70</td>\n",
" <td>40</td>\n",
" <td>60</td>\n",
" <td>40</td>\n",
" <td>40</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>675</th>\n",
" <td>Beartic</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>485</td>\n",
" <td>95</td>\n",
" <td>110</td>\n",
" <td>80</td>\n",
" <td>70</td>\n",
" <td>80</td>\n",
" <td>50</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>676</th>\n",
" <td>Cryogonal</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>485</td>\n",
" <td>70</td>\n",
" <td>50</td>\n",
" <td>30</td>\n",
" <td>95</td>\n",
" <td>135</td>\n",
" <td>105</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>788</th>\n",
" <td>Bergmite</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>304</td>\n",
" <td>55</td>\n",
" <td>69</td>\n",
" <td>85</td>\n",
" <td>32</td>\n",
" <td>35</td>\n",
" <td>28</td>\n",
" <td>6</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>789</th>\n",
" <td>Avalugg</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>514</td>\n",
" <td>95</td>\n",
" <td>117</td>\n",
" <td>184</td>\n",
" <td>44</td>\n",
" <td>46</td>\n",
" <td>28</td>\n",
" <td>6</td>\n",
" <td>False</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name type subtype total hp attack defense \\\n",
"133 Jynx Ice Psychic 455 65 50 35 \n",
"156 Articuno Ice Flying 580 90 85 100 \n",
"238 Swinub Ice Ground 250 50 50 40 \n",
"239 Piloswine Ice Ground 450 100 100 80 \n",
"243 Delibird Ice Flying 330 45 55 45 \n",
"257 Smoochum Ice Psychic 305 45 30 15 \n",
"395 Snorunt Ice NaN 300 50 50 50 \n",
"396 Glalie Ice NaN 480 80 80 80 \n",
"397 GlalieMega Glalie Ice NaN 580 80 120 80 \n",
"398 Spheal Ice Water 290 70 40 50 \n",
"399 Sealeo Ice Water 410 90 60 70 \n",
"400 Walrein Ice Water 530 110 80 90 \n",
"415 Regice Ice NaN 580 80 50 100 \n",
"522 Glaceon Ice NaN 525 65 60 110 \n",
"524 Mamoswine Ice Ground 530 110 130 80 \n",
"530 Froslass Ice Ghost 480 70 80 70 \n",
"643 Vanillite Ice NaN 305 36 50 50 \n",
"644 Vanillish Ice NaN 395 51 65 65 \n",
"645 Vanilluxe Ice NaN 535 71 95 85 \n",
"674 Cubchoo Ice NaN 305 55 70 40 \n",
"675 Beartic Ice NaN 485 95 110 80 \n",
"676 Cryogonal Ice NaN 485 70 50 30 \n",
"788 Bergmite Ice NaN 304 55 69 85 \n",
"789 Avalugg Ice NaN 514 95 117 184 \n",
"\n",
" special_attack special_defense speed generation legendary \n",
"133 115 95 95 1 False \n",
"156 95 125 85 1 True \n",
"238 30 30 50 2 False \n",
"239 60 60 50 2 False \n",
"243 65 45 75 2 False \n",
"257 85 65 65 2 False \n",
"395 50 50 50 3 False \n",
"396 80 80 80 3 False \n",
"397 120 80 100 3 False \n",
"398 55 50 25 3 False \n",
"399 75 70 45 3 False \n",
"400 95 90 65 3 False \n",
"415 100 200 50 3 True \n",
"522 130 95 65 4 False \n",
"524 70 60 80 4 False \n",
"530 80 70 110 4 False \n",
"643 65 60 44 5 False \n",
"644 80 75 59 5 False \n",
"645 110 95 79 5 False \n",
"674 60 40 40 5 False \n",
"675 70 80 50 5 False \n",
"676 95 135 105 5 False \n",
"788 32 35 28 6 False \n",
"789 44 46 28 6 False "
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\n",
"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": 21,
"id": "05d4c5c2-c6b4-4795-9799-c884b15445a1",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>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>1</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>156</th>\n",
" <td>Articuno</td>\n",
" <td>Ice</td>\n",
" <td>Flying</td>\n",
" <td>580</td>\n",
" <td>90</td>\n",
" <td>85</td>\n",
" <td>100</td>\n",
" <td>95</td>\n",
" <td>125</td>\n",
" <td>85</td>\n",
" <td>1</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>396</th>\n",
" <td>Glalie</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>480</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
" <td>80</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>397</th>\n",
" <td>GlalieMega Glalie</td>\n",
" <td>Ice</td>\n",
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" <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",
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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",
" <td>60</td>\n",
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" <tr>\n",
" <th>530</th>\n",
" <td>Froslass</td>\n",
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" <td>Ghost</td>\n",
" <td>480</td>\n",
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" <th>676</th>\n",
" <td>Cryogonal</td>\n",
" <td>Ice</td>\n",
" <td>NaN</td>\n",
" <td>485</td>\n",
" <td>70</td>\n",
" <td>50</td>\n",
" <td>30</td>\n",
" <td>95</td>\n",
" <td>135</td>\n",
" <td>105</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name type subtype total hp attack defense \\\n",
"133 Jynx Ice Psychic 455 65 50 35 \n",
"156 Articuno Ice Flying 580 90 85 100 \n",
"396 Glalie Ice NaN 480 80 80 80 \n",
"397 GlalieMega Glalie Ice NaN 580 80 120 80 \n",
"524 Mamoswine Ice Ground 530 110 130 80 \n",
"530 Froslass Ice Ghost 480 70 80 70 \n",
"676 Cryogonal Ice NaN 485 70 50 30 \n",
"\n",
" special_attack special_defense speed generation legendary \n",
"133 115 95 95 1 False \n",
"156 95 125 85 1 True \n",
"396 80 80 80 3 False \n",
"397 120 80 100 3 False \n",
"524 70 60 80 4 False \n",
"530 80 70 110 4 False \n",
"676 95 135 105 5 False "
]
},
"execution_count": 21,
"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": 23,
"id": "198cb0c6-3f43-43c2-9eee-3939c12ea537",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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" <th></th>\n",
" <th>age</th>\n",
" <th>sex</th>\n",
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" <th>education</th>\n",
" <th>sexual_orientation</th>\n",
" <th>height</th>\n",
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" <th>2</th>\n",
" <td>35</td>\n",
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" <td>8</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",
" <td>...</td>\n",
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" <td>18</td>\n",
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" <td>5</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.68</td>\n",
" <td>68.04</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>8</td>\n",
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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",
" <td>3</td>\n",
" <td>heterosexual</td>\n",
" <td>1.63</td>\n",
" <td>88.45</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166416</th>\n",
" <td>65</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.50</td>\n",
" <td>55.34</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166423</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.60</td>\n",
" <td>68.04</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>13784 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" age sex income education sexual_orientation height weight \\\n",
"0 55 female 5 2 other 1.55 83.01 \n",
"2 35 female 8 4 heterosexual 1.65 77.11 \n",
"24 35 male 8 3 heterosexual 1.73 94.35 \n",
"50 35 female 4 2 heterosexual 1.78 81.65 \n",
"66 45 female 6 4 heterosexual 1.57 72.57 \n",
"... ... ... ... ... ... ... ... \n",
"166407 18 male 5 2 heterosexual 1.68 68.04 \n",
"166409 25 male 6 2 heterosexual 1.57 58.51 \n",
"166414 55 female 8 3 heterosexual 1.63 88.45 \n",
"166416 65 female 5 2 heterosexual 1.50 55.34 \n",
"166423 35 female 5 4 heterosexual 1.60 68.04 \n",
"\n",
" health no_doctor exercise sleep \n",
"0 2 True True 7 \n",
"2 4 True True 7 \n",
"24 4 True False 8 \n",
"50 4 True False 10 \n",
"66 4 True True 7 \n",
"... ... ... ... ... \n",
"166407 3 True True 8 \n",
"166409 4 True False 7 \n",
"166414 3 True False 6 \n",
"166416 3 True False 6 \n",
"166423 4 True True 6 \n",
"\n",
"[13784 rows x 11 columns]"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people[people.no_doctor]"
]
},
{
"cell_type": "markdown",
"id": "9d213707-a15b-4751-8df9-48aa568af209",
"metadata": {},
"source": [
"**1.3.1.** `health` asks people for their general health, with the meanings of numbers shown below. Create a dataframe which contains people whose general health is good or better. \n",
"\n",
"| number | health status | \n",
"| ------ | ----------- |\n",
"| 1 | Poor |\n",
"| 2 | Fair |\n",
"| 3 | Good |\n",
"| 4 | Very good |\n",
"| 5 | Excellent |"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "8a8c1ad6-4c1e-4996-ab5e-5212dadb1851",
"metadata": {},
"outputs": [
{
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" <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": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people[people.health>=3]\n"
]
},
{
"cell_type": "markdown",
"id": "7add542b-bfd2-481a-b5b4-4e1ca744078a",
"metadata": {},
"source": [
"**1.3.2.**. `education` indicates the highest level of education completed, with codes as follows. Create a dataframe which only contains female college graduates who needed a doctor but couldn't afford one. (The survey asked people for their current sex, and only had options for male and female.)\n",
"\n",
"| number | education level | \n",
"| ------ | ----------- |\n",
"| 1 | Did not graduate from high school |\n",
"| 2 | Graduated from high school |\n",
"| 3 | Attended some college |\n",
"| 4 | Graduated from college |"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "315682ae-7d54-4d78-9a63-d23c83ba1576",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<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>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",
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" <th>2</th>\n",
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" <td>7</td>\n",
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" <th>66</th>\n",
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" </tr>\n",
" <tr>\n",
" <th>259</th>\n",
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" <td>1.57</td>\n",
" <td>56.70</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
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" <tr>\n",
" <th>166219</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>other</td>\n",
" <td>1.52</td>\n",
" <td>59.87</td>\n",
" <td>3</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
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" </tr>\n",
" <tr>\n",
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" <td>35</td>\n",
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" <td>5</td>\n",
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" <td>1.60</td>\n",
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" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>2321 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" age sex income education sexual_orientation height weight \\\n",
"2 35 female 8 4 heterosexual 1.65 77.11 \n",
"66 45 female 6 4 heterosexual 1.57 72.57 \n",
"135 55 female 6 4 heterosexual 1.70 81.65 \n",
"146 65 female 5 4 heterosexual 1.55 72.57 \n",
"259 65 female 4 4 heterosexual 1.57 56.70 \n",
"... ... ... ... ... ... ... ... \n",
"166121 35 female 8 4 heterosexual 1.65 136.08 \n",
"166219 55 female 5 4 other 1.52 59.87 \n",
"166272 25 female 8 4 heterosexual 1.52 98.88 \n",
"166381 45 female 5 4 heterosexual 1.52 49.90 \n",
"166423 35 female 5 4 heterosexual 1.60 68.04 \n",
"\n",
" health no_doctor exercise sleep \n",
"2 4 True True 7 \n",
"66 4 True True 7 \n",
"135 4 True True 7 \n",
"146 5 True True 7 \n",
"259 3 True True 6 \n",
"... ... ... ... ... \n",
"166121 4 True True 5 \n",
"166219 3 True True 5 \n",
"166272 3 True True 8 \n",
"166381 5 True True 6 \n",
"166423 4 True True 6 \n",
"\n",
"[2321 rows x 11 columns]"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people[(people.sex==\"female\")&(people.education==4)&(people.no_doctor)]"
]
},
{
"cell_type": "markdown",
"id": "646d1148-7d94-4521-a04a-fbf17ade1235",
"metadata": {},
"source": [
"### 1.4. Grouping\n",
"\n",
"Now things get crazy. You can group a dataframe using one or more columns, and then compare their statistics. \n",
"\n",
"#### Demo\n",
"\n",
"Do different types of pokémon move at different speeds? We'll use `sort_values` to put these in order from slow to fast."
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "069ea0ab-eff6-4985-9f46-db956fe1df91",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"type\n",
"Fairy 48.588235\n",
"Steel 55.259259\n",
"Rock 55.909091\n",
"Bug 61.681159\n",
"Grass 61.928571\n",
"Ice 63.458333\n",
"Poison 63.571429\n",
"Ground 63.906250\n",
"Ghost 64.343750\n",
"Water 65.964286\n",
"Fighting 66.074074\n",
"Normal 71.551020\n",
"Fire 74.442308\n",
"Dark 76.161290\n",
"Psychic 81.491228\n",
"Dragon 83.031250\n",
"Electric 84.500000\n",
"Flying 102.500000\n",
"Name: speed, dtype: float64"
]
},
"execution_count": 26,
"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": 27,
"id": "5c420c0e-b5d2-49ae-ab98-3305ee076169",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>hp</th>\n",
" <th>attack</th>\n",
" <th>defense</th>\n",
" </tr>\n",
" <tr>\n",
" <th>type</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Bug</th>\n",
" <td>56.884058</td>\n",
" <td>70.971014</td>\n",
" <td>70.724638</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Electric</th>\n",
" <td>59.795455</td>\n",
" <td>69.090909</td>\n",
" <td>66.295455</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Ghost</th>\n",
" <td>64.437500</td>\n",
" <td>73.781250</td>\n",
" <td>81.187500</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Steel</th>\n",
" <td>65.222222</td>\n",
" <td>92.703704</td>\n",
" <td>126.370370</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Rock</th>\n",
" <td>65.363636</td>\n",
" <td>92.863636</td>\n",
" <td>100.795455</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Dark</th>\n",
" <td>66.806452</td>\n",
" <td>88.387097</td>\n",
" <td>70.225806</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Poison</th>\n",
" <td>67.250000</td>\n",
" <td>74.678571</td>\n",
" <td>68.821429</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Grass</th>\n",
" <td>67.271429</td>\n",
" <td>73.214286</td>\n",
" <td>70.800000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fighting</th>\n",
" <td>69.851852</td>\n",
" <td>96.777778</td>\n",
" <td>65.925926</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fire</th>\n",
" <td>69.903846</td>\n",
" <td>84.769231</td>\n",
" <td>67.769231</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Psychic</th>\n",
" <td>70.631579</td>\n",
" <td>71.456140</td>\n",
" <td>67.684211</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Flying</th>\n",
" <td>70.750000</td>\n",
" <td>78.750000</td>\n",
" <td>66.250000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Ice</th>\n",
" <td>72.000000</td>\n",
" <td>72.750000</td>\n",
" <td>71.416667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Water</th>\n",
" <td>72.062500</td>\n",
" <td>74.151786</td>\n",
" <td>72.946429</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Ground</th>\n",
" <td>73.781250</td>\n",
" <td>95.750000</td>\n",
" <td>84.843750</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Fairy</th>\n",
" <td>74.117647</td>\n",
" <td>61.529412</td>\n",
" <td>65.705882</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Normal</th>\n",
" <td>77.275510</td>\n",
" <td>73.469388</td>\n",
" <td>59.846939</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Dragon</th>\n",
" <td>83.312500</td>\n",
" <td>112.125000</td>\n",
" <td>86.375000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" hp attack defense\n",
"type \n",
"Bug 56.884058 70.971014 70.724638\n",
"Electric 59.795455 69.090909 66.295455\n",
"Ghost 64.437500 73.781250 81.187500\n",
"Steel 65.222222 92.703704 126.370370\n",
"Rock 65.363636 92.863636 100.795455\n",
"Dark 66.806452 88.387097 70.225806\n",
"Poison 67.250000 74.678571 68.821429\n",
"Grass 67.271429 73.214286 70.800000\n",
"Fighting 69.851852 96.777778 65.925926\n",
"Fire 69.903846 84.769231 67.769231\n",
"Psychic 70.631579 71.456140 67.684211\n",
"Flying 70.750000 78.750000 66.250000\n",
"Ice 72.000000 72.750000 71.416667\n",
"Water 72.062500 74.151786 72.946429\n",
"Ground 73.781250 95.750000 84.843750\n",
"Fairy 74.117647 61.529412 65.705882\n",
"Normal 77.275510 73.469388 59.846939\n",
"Dragon 83.312500 112.125000 86.375000"
]
},
"execution_count": 27,
"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": 28,
"id": "444a580d-e70c-48a1-bf87-77f98b8c9f85",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"type subtype \n",
"Electric Flying 0.600000\n",
"Rock Fairy 0.666667\n",
"Ghost Dragon 1.000000\n",
"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": 28,
"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": 29,
"id": "75c1ac4f-3914-4c0a-a156-2e084002df66",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"income\n",
"1 6.952208\n",
"2 6.985627\n",
"3 7.083274\n",
"4 7.079627\n",
"5 7.100286\n",
"6 7.055784\n",
"7 7.078495\n",
"8 7.074626\n",
"Name: sleep, dtype: float64"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people.groupby(\"income\").sleep.mean()"
]
},
{
"cell_type": "markdown",
"id": "f6413f2b-26a0-4b70-976f-90e45558c4bb",
"metadata": {},
"source": [
"**1.4.0.** Is there a difference in peoples' income or general health, by sex and education level? "
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "d46df8a1-bbc2-45a4-9be1-cee1858cbf21",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th></th>\n",
" <th>income</th>\n",
" <th>health</th>\n",
" </tr>\n",
" <tr>\n",
" <th>sex</th>\n",
" <th>education</th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"4\" valign=\"top\">female</th>\n",
" <th>1</th>\n",
" <td>3.554701</td>\n",
" <td>2.848040</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>5.049022</td>\n",
" <td>3.315797</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>5.779390</td>\n",
" <td>3.483379</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>6.960652</td>\n",
" <td>3.844340</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"4\" valign=\"top\">male</th>\n",
" <th>1</th>\n",
" <td>4.433009</td>\n",
" <td>3.031525</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>5.742876</td>\n",
" <td>3.440818</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>6.270230</td>\n",
" <td>3.549105</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>7.190582</td>\n",
" <td>3.826512</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" income health\n",
"sex education \n",
"female 1 3.554701 2.848040\n",
" 2 5.049022 3.315797\n",
" 3 5.779390 3.483379\n",
" 4 6.960652 3.844340\n",
"male 1 4.433009 3.031525\n",
" 2 5.742876 3.440818\n",
" 3 6.270230 3.549105\n",
" 4 7.190582 3.826512"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people.groupby([\"sex\",\"education\"])[[\"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": 32,
"id": "b1e06e4f-6b9e-42af-a27c-dbb525a259ce",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Matplotlib is building the font cache; this may take a moment.\n"
]
}
],
"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": 33,
"id": "5ce066fe-f81d-4b78-a394-c5c2f4dc9f46",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='attack', ylabel='Count'>"
]
},
"execution_count": 33,
"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": 34,
"id": "bceb253b-ef4f-4aa2-aef4-cab2b3ca6d59",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='Count', ylabel='attack'>"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.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": 35,
"id": "92be1ad0-12bb-49f0-a3f6-85fcfd98e943",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/var/folders/rd/_bw4xxkj5jg58ck8vzx3j9_r0000gn/T/ipykernel_56572/2530434476.py:1: FutureWarning: \n",
"\n",
"The `ci` parameter is deprecated. Use `errorbar='sd'` for the same effect.\n",
"\n",
" sns.barplot(data=pokemon, x=\"legendary\", y=\"hp\", ci=\"sd\")\n"
]
},
{
"data": {
"text/plain": [
"<Axes: xlabel='legendary', ylabel='hp'>"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=pokemon, x=\"legendary\", y=\"hp\", ci=\"sd\")"
]
},
{
"cell_type": "markdown",
"id": "4f75e1fa-a5d7-4d2c-a458-8190a7cd700e",
"metadata": {},
"source": [
"\n",
"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": 36,
"id": "17f1c289-5990-4420-bfcb-e50eee0b8af6",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/var/folders/rd/_bw4xxkj5jg58ck8vzx3j9_r0000gn/T/ipykernel_56572/1967416016.py:1: FutureWarning: \n",
"\n",
"The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n",
"\n",
" sns.barplot(data=pokemon, x=\"hp\", y=\"type\", ci=None, palette=\"muted\")\n",
"/var/folders/rd/_bw4xxkj5jg58ck8vzx3j9_r0000gn/T/ipykernel_56572/1967416016.py:1: FutureWarning: \n",
"\n",
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
"\n",
" sns.barplot(data=pokemon, x=\"hp\", y=\"type\", ci=None, palette=\"muted\")\n"
]
},
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='type'>"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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JCbRq1YqxY8fy1FNPMWbMmHzPKiIiIq7JYuhKnk5jyub3dG9EERHJVeUKl2Ng3ZdJSblIdrbN0eXcFg8PN4oV83P6mgMD/XB3v/W4lcsukDejkr6lHF2CiIiYjP62OJ5GtpyEYRg5FuiLiIjkFqvNRmrKJWw21/iTr5EtyRMWi4W0tAysVuf9oboX7u5uBAT4mDaj2fOBMpqB2fOBMt6MzWa4TKNlRmq2nIjVanPqDj43mD2j2fOBMpqB2fOBMopzUbPlRG5nKNJVXctm1oxmzwfKaAbOnk+jL2JWarachGEYBAT4OLqMPGf2jGbPB8poBs6az2a1kpKaoYZLTEfNlpOwWCzsnzePjJMnHV2KiEi+8ylVigd79MDNzaJmS0xHzZYTyTh5kkvJyY4uQ0RERHJRgWq2oqKiOHbs/y4a6unpSbly5ejUqRO9evVyYGUiIiJiVgWq2QKIjY0lNjYWgMzMTLZv387IkSPx8fGhW7duDq5OREREzKbANVu+vr4EBQXZHwcHB7NhwwYWL16sZktERERynXO+/zefeXt72z+PiYlh2LBhOfb/ddvOnTvp1q0bNWvWJDo6mhUrVlC1alU2bNiQbzWLiIiIayjwzdb27dv54osv6NSp020df/LkSZ555hnKlSvH4sWLef3113n//fexWq15XKmIiIi4ogI3jThjxgzmzJkDQFZWFllZWdSsWZPHH3/8tp6/cOFC/P39GTt2LJ6enlSqVImRI0fyz3/+My/LFhERERdV4Jqtp59+mpiYGACys7M5fPgw77//Pt26dePzzz+/5fN3795N9erV8fT0tG+rV69entUrIiIirq3ANVtFihQhJCTE/rhixYoUKVKErl278t///veGz8nOzrZ/7u7ujs2me1GJiIjI7Snwa7bg6q1yAGw2G56enqSnp9v32Ww2jh49an9cpUoVdu/eTVZWln3b1q1b869YERERcSkFrtm6dOkSp0+f5vTp05w6dYrNmzczbtw4SpYsScOGDalVqxY///wzP/74I4cPH+att94iLS3N/vyuXbuSlpbGqFGjSEpK4r///S9vvfUWcPWWOyIiIiJ/VuCmEefMmWNfIO/m5kbRokWpW7cu7777Lj4+PsTGxnLkyBEGDhyIl5cXTz75JK1bt7aPfhUvXpxZs2Yxbtw42rVrR+nSpenSpQvvvPNOjnVcIiIiIlDAmq21a9fe8pjChQvz7rvv3nT/gQMHMAyDRYsW2bf9+uuvAJQuXfreixQRERFTKXDTiPfqjz/+oEePHixbtoxjx46xdetWxo8fz8MPP0yZMmUcXZ6IiIg4mQI1spUbIiMjGTFiBDNmzGDUqFH4+/sTFRXFkCFD7vncPqVK5UKFIiKuR7//xMwsxrXFSOJQhmFogb2IFGg2q5WU1Axstrv/s+Th4UaxYn6kpFwkO9ucl+lRRucRGOiHu/utJwk1suUkLBYLaWkZWK3O+0N1L9zd3QgI8DFtRrPnA2U0A2fPZ7MZ99RoiTgrNVtOxGq1OXUHnxvMntHs+UAZzcDs+UScjZotJ3I7Q5Gu6lo2s2Y0ez5QRjMwez5QRmeikcr/ozVbTkJrtkRExExsVhspqZfuquHSmi3JExaLhW8/3cC5UxccXYqIiMg9CSzpT4su9XFzs2h0CzVbTuXcqQucOZbq6DJEREQkFznlhG9UVBRRUVE5bgh9zbBhw4iJiXFAVTe3YcMGQkNDSU5OdnQpIiIi4mScstkCOHbsGO+8846jyxARERG5J07bbAUHB7Nw4UL++9//OroUERERkbvmtM1W27ZtadiwISNGjLjhdCJAamoqY8aMoUmTJtSoUYOnn36aDRs22PfHx8fTvXt3Bg0aRO3atXnrrbdYsmQJLVq0YMGCBTRt2pSaNWsyYMAATp48yZAhQwgPD+eRRx7JcaPp8+fPM3LkSBo3bky1atVo2LAhI0eOJCMjI8+/DiIiIuLanLbZslgsjB07lvPnzzNx4sTr9lutVmJjY9m8eTOTJk1iyZIlVK5cmZ49e7J9+3b7cZs2baJEiRIsX77cvtbr+PHjfP3118ycOZOpU6eyZs0aHn/8capVq8bixYt55JFHeOONN0hJSQGurhPbvXs306ZNY/Xq1QwfPpxly5axcOHC/PliiIiIiMty2mYLoFy5cgwdOpTPPvuM9evX59i3fv16du3axXvvvcfDDz9MpUqVGDNmDA8++CCzZ8/OceyAAQMIDg6mfPnyAGRnZzNq1CgqV65MkyZNqFKlChUqVOC5556z/zcrK4tDhw4BEBERwfjx46lZsyb33Xcfbdu2pWrVqiQmJubHl0FERERcmFM3WwCdO3cmIiKCkSNH5phOTExMxN/fn8qVK9u3WSwW6tatm6MJKl68OP7+/ted9/7777d/7uvrm+NxoUKFALhy5QoAXbt25ejRo0yYMIF+/frRvHlztm/fjs3mvBdaExEREefg9M0WwNtvv82FCxcYP368fdvNLnxvGAYeHv93+TBvb+8bHufp6ZnjsZvbjb8UNpuNvn378vbbb+Ph4UGrVq2YMWMGtWvXvtMYIiIiUgC5xEVNy5Yty7Bhwxg5ciTBwcGUKVOG0NBQLly4QGJion10yzAMtmzZQqVKlXLttffs2cOPP/7IZ599Rs2aNQHIysriyJEjBAcH59rriIiIiDm5xMgWQKdOnYiMjOTo0aMAREZG8tBDD/Hyyy+zceNGkpKSePPNN0lMTOSZZ57JtdctUaIEHh4erFq1iqNHj7Jjxw5eeuklTp8+bZ9mFBEREbkZl2m24Op04rX1V+7u7syZM4eqVavSv39/OnbsyP79+5k7dy61atXKtdcsVaoUEyZMYO3atbRq1YqBAwdSqlQpnn32WXbu3JlrryMiIiLmZDFutvhJ8t3CKd/p3ogiIuLySpQrSueBzUlJuUh29p2/mczDw41ixfzu+vn5JTDQD3f3W49bucSarYIisOT175oUERFxNfp7lpOaLSdhGAYtutR3dBkiIiK5wma1YbNp8gzUbDkNi8VCWloGVqvzDpfeC3d3NwICfEyb0ez5QBnNwOz5QBmdic1mqNn6/9RsORGr1ebUc9O5wewZzZ4PlNEMzJ4PlFGci5otJ3I7i+xc1bVsZs1o9nygjGZg9nzgOhk16lOwqNlyEoZhEBDg4+gy8pzZM5o9HyijGZg9Hzh/RqvVSmpqhhquAkLNlpOwWCwsnTmBMyeOOroUERHJQyXKBPNEn2G4uVnUbBUQaracyJkTR/njyAFHlyEiIiK5yKkntaOioggNDbV/VKlShdq1a9O9e3c2bdp0W+dYsmQJoaGheVypiIiIyI05dbMFEBsby/r161m/fj0//vgjCxYsoHDhwvTq1Yvjx4/f8vmtWrVi/fr1+VCpiIiIyPWcvtny9fUlKCiIoKAgSpYsSeXKlRkzZgyZmZl8++23t3y+t7c3QUFB+VCpiIiIyPWcvtm6EQ+Pq0vNvLy8yMzMJC4ujujoaMLCwmjXrh2rV6+2H/vXacR169bRoUMHatasScOGDRk2bBjnz5+3709KSqJfv37Ur1+fOnXqMGDAAI4dO2bfHxMTw7vvvstrr71G3bp1qV27Ni+//DLp6en5kFxERERcjcs1WydPnuTNN9/E19eXJk2aMHjwYJYtW8aoUaNYsWIFzZs3Z+DAgXz33XfXPffcuXP079+fjh078tVXXzFt2jQ2bdrEO++8A8CxY8fo3LkzXl5efPzxx8yZM4fTp0/TvXv3HM3U3LlzKVGiBIsWLWLSpEmsWbOGuXPn5teXQERERFyI078bccaMGcyZMweA7Oxsrly5QsWKFYmLiyMjI4M1a9Ywffp0mjZtCsCLL77I3r17mT59Os2bN89xrpMnT3LlyhXKli1LuXLlKFeuHNOnT8dqtQLwySef4Ovry7vvvouXlxcAU6dOJTo6muXLl9OtWzcAKlWqxODBgwEoX748ERERbN26NT++HCIiIuJinL7Zevrpp4mJiQHAzc2NokWL4u9/9W7iX331FQB16tTJ8Zx69eoxefLk68710EMP0aZNG/r160dQUBARERE0bdqUFi1aAJCYmEj16tXtjRZAUFAQDzzwAImJifZtFSpUyHFef39/0tLSciGtiIiImI3TTyMWKVKEkJAQQkJCCA4Otjdaf8cwDPu6rr967733WLVqFb169SIlJYVXXnmFnj172p93IzabDU9PT/vjPzdjIiIiIn/H6Zutv3Nt4fuWLVtybN+8eTOVKlW67vht27Yxbtw4KlSowLPPPsvMmTMZN24cv/zyC2fPniU0NJQdO3Zw5coV+3POnDnD4cOHqVixYt6GEREREVNy+mnEv1OxYkWaNWvGmDFjsFgshISE8OWXX7JmzRri4uKuO75w4cJ88skneHp68tRTT3H58mW++uorypcvT7FixejSpQuffvopr7zyCs8//zxXrlxh4sSJFCtWjNatW+d/QBEREXF5Lj2yBTB58mSaN2/OiBEjaNu2Ld9//z3x8fG0bNnyumMrVqxIfHw8v/zyC+3bt6dLly64u7vz0Ucf4ebmxn333UdCQgJpaWl07tyZnj17EhQUxKeffkpAQIAD0omIiIirsxg3W6gk+e6jMS/o3ogiIiZX+v5K9B79ASkpF8nOtt3x8z083ChWzO+un+8KXCVjYKAf7u63Hrdy+ZEtEREREWfm0mu2zKZEmWBHlyAiInlMv+sLHjVbTsIwDJ7oM8zRZYiISD6wWq3YbFrFU1Co2XISFouFtLQMrFbnnZu+F+7ubgQE+Jg2o9nzgTKagdnzgetktNkMNVsFiJotJ2K12px6IWBuMHtGs+cDZTQDs+eDgpFRXIeaLSdyO+9ocFXXspk1o9nzgTKagdnzwdVZAhFno2bLSRiGQUCAj6PLyHNmz2j2fKCMZmDmfDabRrPE+ajZchIWi4XDX+zk8tmLji5FRMQlFSruR0ib6o4uQ+Q6aracyOWzF8k4dcHRZYiIiEgucrqJ+5iYGEJDQ2/6ce7cOaKiooiPj8+119yyZQubN2/+22NCQ0NZsmRJrr2miIiIFAxOObL12GOPMWLEiBvuK1asWK6/XteuXRk/fjx169a96THr16/H398/119bREREzM0pmy1vb2+CgoIcXUYOzlaPiIiIuAanm0a8G7/++ivdunWjRo0aNG3alDFjxpCenm7fn5WVxZQpU2jWrBk1a9akQ4cO/Pzzz8DV6UGA4cOHM2zYMJKTkwkNDWXGjBlEREQQHR1Nenr6ddOIK1asoG3bttSoUYPo6Gg+/vjj/A0tIiIiLsHlm629e/fy3HPP0bhxY1asWMG7777Lrl27iI2NxTCuXp137NixLFiwgKFDh7Jy5UoaN25Mv379OHjwIOvXrwfgtddeyzF1uXTpUj7++GPi4uIoXLhwjtf86quvGDp0KO3atWPFihUMHjyYd999V2u6RERE5DpOOY24cuVKVq9efd325s2bM2nSpBzbZs+eTUREBP369QOgfPnyvPfeezRv3pyNGzdSrVo1Fi1axKhRo2jZsiUAgwYNwjAM0tPTqVChAgD+/v74+/tz/vx54Oo6rkqVKt2wvo8//phWrVrRs2dP+2tevHgRb2/v3PkCiIiIiGk4ZbMVFRXFkCFDrtvu6+t73bbdu3dz+PBhwsPDr9uXlJSEr68vWVlZ1KxZM8e+wYMH/20NISEhN92XmJhI69atc2x76qmn/vZ8IiIiUjA5ZbPl5+f3t83On9lsNh5//HH7yNafBQYGcuzYsbuq4e9GqTw8nPLLJiIiIk7I5ddsPfjggxw4cICQkBD7R3Z2NuPHj+fEiROEhITg6enJjh07cjzvqaeeYu7cuXf1mhUrVrzufOPHj2fAgAF3G0NERERMyimHaDIzMzl9+vQN9xUpUiTH49jYWLp168aYMWPo3r07aWlpjBkzhszMTMqXL4+Xlxfdu3dnypQpBAYG8uCDD7Jo0SISExOZMGECcHV6MikpiZSUlNuqr0+fPrz44ovUqFGDJk2asG3bNj799FPefPPNewsuIiIipuOUzdaqVatYtWrVDfdNmTIlx+NatWoxa9YspkyZwhNPPIGvry8NGzZk6NCheHl5AVfXZ7m7uzN69GguXLhAlSpVmDlzpn1xfGxsLLNmzSIpKYmRI0fesr6oqCjefPNNPvroIyZOnEi5cuUYPnw47du3v7fgIiIiYjoW49r1EcThEj/eoHsjiojcJZ+S/lR+pj4AKSkXyc62ObiivOHh4UaxYn7K6AQCA/1wd7/1iiynHNkqqAoV93N0CSIiLku/Q8VZqdlyEoZhENKmuqPLEBFxaTabDTc3l3/vl5iMmi0nYbFYSEvLwGp13uHSe+Hu7kZAgI9pM5o9HyijGZg9H1z9XVq06PXXZBRxJDVbTsRqtTn13HRuMHtGs+cDZTQDM+fz8NColjgfNVtO5HYW2bmqa9nMmtHs+UAZzcDs+UAZ74XNZmCz6T1zeUHvRnQShmFgsVgcXYaIiBRQVquN1NRLTtFw6d2IkicsFgsLFy686cVcRURE8kpQUBCdO3fGzc3iFM2W2ajZciKnT5/m+PHjji5DREREcpF5J7VFREREnIBTNluGYbBkyRJiYmJo0KAB1atXp0WLFowdO9Zpp9ni4+OJiopydBkiIiLiZJyu2bLZbLzwwgtMmDCBZs2aMX/+fL755htGjhzJjh076NixI2fPnnV0mSIiIiK3xenWbM2dO5d169bx2WefUa1aNfv2smXLUr9+fVq3bs3s2bN59dVXHViliIiIyO1xqpEtwzBISEigbdu2ORqta7y9vZk3bx4vvfQSycnJhIaGMmPGDCIiIoiOjiY9PZ3U1FTGjBlDkyZNqFGjBk8//TQbNmywn+NG031/3RYaGsqiRYt49tlnqVGjBpGRkUybNi3HcxYuXEiLFi2oUaMG/fr14/z587n81RAREREzcKpmKzk5mWPHjtGoUaObHlOuXDm8vLzsj5cuXcrHH39MXFwcPj4+xMbGsnnzZiZNmsSSJUuoXLkyPXv2ZPv27XdUy8SJE3niiSf48ssv6d69O/Hx8WzatAmAL774gjfffJNnn32W5cuXU7t2bf7zn//cXWgRERExNadqts6cOQNAYGBgju39+vUjPDzc/tG6dWv7vq5du1KpUiXCwsJYv349u3bt4r333uPhhx+mUqVKjBkzhgcffJDZs2ffUS3t27enXbt2BAcH069fPwICAvj1118BmD9/Pq1ataJbt2488MAD9OnTh2bNmt1jehERETEjp2q2ihUrBnDdlNyYMWNYtmwZy5Yto2PHjmRkZNj3hYSE2D9PTEzE39+fypUr27dZLBbq1q1LYmLiHdVSsWLFHI/9/f3Jysqyv05YWFiO/eHh4Xd0fhERESkYnKrZCg4OJigoKMcaK4BSpUoREhJCSEgIRYoUybHP29vb/vnN7jxkGAYeHjd/L0B2dvZ12/48VXmj89tsOW8f4OnpedPzi4iISMHlVM2Wu7s7PXr0YNmyZezdu/eGx5w4ceKmzw8NDeXChQs5RrEMw2DLli1UqlQJuNoUXbx4McfzDh8+fEd1PvTQQ/YpxWt27NhxR+cQERGRgsGpmi2AXr160axZM7p27cr06dPZu3cvycnJrF27ltjYWBYvXkyDBg1u+NzIyEgeeughXn75ZTZu3EhSUhJvvvkmiYmJPPPMMwDUqlWL1NRUZs+eTXJyMgsWLODHH3+8oxr79OnDt99+y6xZszh06BDz589n9erV95xdREREzMfpmi03Nzfi4uIYO3YsmzdvJjY2lpYtW/Lmm28SGBhIQkIC48aNu+Fz3d3dmTNnDlWrVqV///507NiR/fv3M3fuXGrVqgVAgwYNePHFF5kzZw6tW7fm559/ZsCAAXdUY9OmTXnvvfdYvHgxjz/+ON988w2xsbH3Gl1ERERMyGLcbKGT5Ltp06bpRtQiIpLvypYtS//+/UlJuUh2tu3WT8hjHh5uFCvm5zT13ExgoB/u7rcet3K6K8gXZEFBQY4uQURECiD9/clbGtlyEoZhYLFYHF2GiIgUUFarjdTUS9hsjm8LNLIlecJisZCWloHV6rw/VPfC3d2NgAAf02Y0ez5QRjMwez5QxnthsxlO0WiZkZotJ2K12py6g88NZs9o9nygjGZg9nygjOJc1Gw5kdsZinRV17KZNaPZ84EymoHZ84Ey5gaNcOU+rdlyElqzJSIizsBms5GS4ti1W1qzJXnCYrGwf+unZKSfcnQpIiJSQPkULsmD4V1wc7NodCsXqdlyIhnpp7iUdszRZYiIiEguMt2kdkxMDKGhoTf8mDhx4i2fv2HDBkJDQ0lOTs6HakVERMTsTDmy9dhjjzFixIjrtvv4+NzyueHh4axfv57AwMC8KE1EREQKGFM2W97e3nd9NVwvLy9dSVdERERyzV1NI165coVPPvmE/v3707lzZ5KSkvj000/Zvn17bteX686fP8/IkSNp3Lgx1apVo2HDhowcOZKMjAzg+mnEqKgoJk6cSKtWrahfvz7Tpk2jSpUqHDuWc21V586db2uaUkRERAqWO262zp07R8eOHRk7diyHDx9m+/btZGZm8sMPPxATE8PWrVvzos5cM2zYMHbv3s20adNYvXo1w4cPZ9myZSxcuPCmz0lISGDkyJHMmjWLPn36EBgYyPLly+37f//9d3777Tc6duyYHxFERETEhdxxs/XOO+9w8eJFvvrqK5YuXcq1y3RNnTqVsLAwpk6dmutF3qmVK1cSHh6e46NXr14AREREMH78eGrWrMl9991H27ZtqVq1KomJiTc9X5MmTWjUqBFhYWF4eXnRrl27HM3WsmXLCAsLo1KlSnmeTURERFzLHa/Z+v7773nttdcICQnBarXatxcqVIjY2FiGDRuWqwXejaioKIYMGZJjm7e3NwBdu3Zl7dq1LF26lEOHDnHgwAGSk5OpUKHCTc8XEhKS43HHjh2ZM2cO27Zto0aNGqxYsYLevXvnfhARERFxeXfcbF2+fJmiRYvecJ+7uztZWVn3WtM98/Pzu65BgqtXxe3bty/79++nTZs2tGrVimrVqjFq1Ki/Pd+1Ru2aSpUqUbNmTVasWEFmZiZnzpyhTZs2uZpBREREzOGOm62wsDA++eQTmjRpct2+lStXUr169VwpLC/s2bOHH3/8kc8++4yaNWsCkJWVxZEjRwgODr6jc3Xs2JEPP/wQm81G8+bNCQgIyIuSRURExMXd8ZqtgQMH8vPPP9OuXTumTJmCxWLhiy++oF+/fnz99de88MILeVFnrihRogQeHh6sWrWKo0ePsmPHDl566SVOnz7NlStX7uhcrVu35vz58yxZsoQnnngijyoWERERV3fHzVbdunX597//jY+PD7NmzcIwDObOncvp06eZMWMGDRo0yIs6c0WpUqWYMGECa9eupVWrVgwcOJBSpUrx7LPPsnPnzjs6V+HChWnevDlFihQhIiIijyoWERERV2cxrr2d8C5kZmZy/vx5ChcujJ+fX27W5RJiYmKoXbs2gwYNypXzbf9piu6NKCIiDuMbUI4ajQeSknKR7Gybw+rw8HCjWDE/h9dxK4GBfri733rc6q6vIL9+/Xo2bdpEamoqJUqUoGHDhtStW/duT+dSvvvuO/bs2cNvv/3GO++8k2vn9SlcMtfOJSIicqf0dyhv3PHI1vnz5+nbty+//fYbHh4eFC1alNTUVKxWK4888gjx8fF4eXnlVb1O4emnn+b3339n+PDhtG/fPlfOaRgGFoslV84lIiJyt2w2Gykpl7DZ7nri656ZbWTrjputoUOH8sMPPzB27Fiio6OxWCzYbDa+++47Ro0aRYcOHRg6dOhdF16QpaVlYLU67w/VvXB3dyMgwMe0Gc2eD5TRDMyeD5QxN9hshkMbLTBfs3XH04g//PADQ4YMoXnz5vZtbm5uPProo5w7d45p06ap2bpLVqvNqX+ocoPZM5o9HyijGZg9HyijOJc7fjeiYRiUKFHihvvKlCnDpUuX7rkoEREREbO445GtJ554gn/96188/PDDOd6BmJ2dTUJCgq45dQ9uZyjSVV3LZtaMZs8HymgGZs8HBSOj1ve6njtutnx8fDh06BDR0dFER0dTqlQpUlJSWLduHX/88QdFihRh+PDhwNUfiHHjxuV60WZkGAYBAT6OLiPPmT2j2fOBMpqB2fOBuTM6ej2V3Lk7XiAfFRV1+ye3WFizZs0dF1VQrdp7jHOX7uxK9iIiUnAE+nrxWJVyAE6/ePxeFPgF8mvXrr2rguTWzl26wqn0TEeXISIiIrnojie1X3/9dbZt25ZrBcTExBAaGnrDj4kTJxITE8OwYcNu+3xRUVHEx8f/7THff/89Bw4cAGDDhg2EhoaSnJx8TzlEREREbuSOR7Z++eUXPv/8c8qXL0+HDh1o164dJUve2xVnH3vsMUaMGHHddh8fH7Kzs3F3d7+n8//ZsWPH6NevH/PmzaNSpUqEh4ezfv16AgMDc+01RERERK6542brm2++YcuWLSxbtoyZM2cSFxdHREQEHTp0IDo6Gk9Pzzsuwtvbm6CgoDt+3t346xI1Ly+vfHttERERKXju6r2xderU4a233mL9+vVMnDgRLy8vhg8fTmRkJG+//TaJiYm5VuBfpxHXr1/PE088QVhYGG3atGHx4sXXTQOePn2a/v37U6tWLerXr8/48eOxWq0kJycTHR0NQI8ePYiPj79uGjEqKorZs2fz4osvEh4eTv369Xn77bfJzs6+oxpERERE4C6brWsKFSpEvXr1qFu3LhUrVuT8+fOsXLmSdu3a0bt3b06ePJlbdQKwZ88e+vbtS8OGDVm+fDnPP/88EydOvO64RYsWUa9ePVauXMkrr7zC3LlzWbp0KWXKlOHzzz8HID4+ntjY2Bu+zpQpU6hXrx4rVqzg1VdfJSEhgS+++OKOahARERGBu5hGBLh06RKrV69m+fLlbNy4EV9fXx577DFGjRpFzZo12bZtG4MGDWLgwIEsWLDgludbuXIlq1evzrGtTp06zJo1K8e2uXPnUr16dV599VUAKlSowNmzZxk7dmyO4x599FGeeeYZAIKDg5k3bx47d+7kySeftK/NKlKkSI6Lsv5ZZGQkPXr0sD9//vz5/Prrr7Rv3/62axARERGBu2i2Xn75ZdauXUtGRgZ16tRh7NixtGzZEh+f/7uAXM2aNe2Nye2IiopiyJAhObZ5e3tfd9zu3btp1KhRjm316tW77rjy5cvneFykSBEuX758W7UAVKxYMcdjf39/srKy7qgGEREREbiLZmvDhg107tyZp59++rqmJi0tjZ9++onWrVvToEEDQkNDb+ucfn5+hISE3PI4d3d3bLZbX9zsRu9evJNrt3p5ed30+bdbg4iIiAjcxZqtM2fO0KpVq+saLbg66nPtVj0PP/ww//jHP+65wD+rUqUK27dvz7Ft69atd3SOe72nVG7UICIiIgXHbY1sDR06lBMnTtgfv/HGGxQuXPi64w4dOkSJEiVyr7q/iI2NpX379rz77rt07NiRAwcOMHXqVOD2myhfX18AEhMTqVq1qkNqEBERkYLjtka2/vGPf2AYRo6puGuPr324ublRq1Ytxo8fn2fFVq5cmWnTpvHDDz/w+OOPM3XqVLp37w5w29f3KlasGB07duSdd95hypQpDqlBRERECo47vhF1TEwMb7zxxnWLyPPD9u3b8fDwyDEitXLlSl577TW2bt2Kh8ddvbnSaWr4z6+/696IIiJyUyULe9Ot9gOAbkTtDPLsRtTz58+/q4Jyw549e5g0aRITJ07koYce4vDhw8THx9O6det8abTyuoZA3+sX5ouIiFyjvxOu6Y5HthzJMAw++OADli5dysmTJylevDitW7dmwIABN7xUhCvVYBiG1nyJiMgt2WwGbm4Wpx/1uRdmG9lyqWbL7NLSMrBanfeH6l64u7sREOBj2oxmzwfKaAZmzwcFI6PFYqFoUV+nb0TuhdmarfyZe5PbYrXanPqHKjeYPaPZ84EymoHZ84G5M3p43NOd9sQB1Gw5kdvpjl3VtWxmzWj2fKCMZmD2fFAwM9psBjabJqmcmaYRnYTWbImIyN2wWm2kpl4yVcOlaUTJExaLhQ8W7ebY6UuOLkVERFxEuSBfXniyKm5uFlM1W2ajZsuJHDt9iUMn0h1dhoiIiOQip5jUjoqKIjQ01P5RpUoVateuTffu3dm0aVO+vH58fPxN9y9ZsuS2b6otIiIi8mdO0WzB1XsOrl+/nvXr1/Pjjz+yYMECChcuTK9evTh+/LhDa2vVqhXr1693aA0iIiLimpym2fL19SUoKIigoCBKlixJ5cqVGTNmDJmZmXz77bcOrc3b25ugoCCH1iAiIiKuyWmarRu5dvsbLy8vtm/fTteuXQkPD6devXq8+OKL9hGvF154gR49euR47sGDBwkNDWX//v0A/PTTT3Tu3JmaNWvyyCOP8P7772O1Wu3Hnz59mv79+1OrVi3q16/P+PHj7fv/Oo148eJF3nrrLSIjIwkPD6d79+7s3LkzT78WIiIi4pqcttk6efIkb775Jr6+vjzyyCP07duXevXqsWLFCubOncvx48d57bXXAOjQoQMbN27kxIkT9ucvW7aMsLAwHnzwQbZu3UqfPn2oU6cOS5Ys4e2332bBggV8+OGH9uMXLVpEvXr1WLlyJa+88gpz585l6dKlN6ztpZde4scff2T8+PEsW7aM4OBgYmNjOX/+fN5+UURERMTlOM27EWfMmMGcOXMAyM7O5sqVK1SsWJG4uDgKFy5MSkoKJUuWpFy5cgQHBxMXF8fZs2cBaNKkCSVKlGDFihX07dsXm83G8uXL6dOnD3D15tk1a9bk1VdfBaBixYq8+eab9ucDPProozzzzDMABAcHM2/ePHbu3MmTTz6Zo86DBw/y448/Mnv2bCIjIwF44403CAgIICUlhSJFiuTtF0pERERcitM0W08//TQxMTEAuLm5UbRoUfz9/e37e/XqxVtvvcXUqVNp0KABTZo04bHHHgOuTje2bduW5cuX07dvX3755RfOnTtHmzZtAEhMTCQiIiLH6/3jH//I8bh8+fI5HhcpUoTLly9fV2diYiIAtWrVsm8rVKgQw4cPv7vgIiIiYmpOM41YpEgRQkJCCAkJITg4OEejBTBkyBDWrl3LSy+9hGEYvPXWW3Ts2JErV64A0LFjR5KSkti5cycrVqwgOjraPsp0be3X33F3d79u240urn875xIRERG5xmmarb9z8OBBRo8eTfHixenSpQtTp05l1qxZJCUlsXfvXuDq1GB4eDirVq1izZo1dOjQwf78ihUrsmPHjhzn/Pjjj+nUqdMd11KxYkWAHOfLzs4mKiqKr7/++m7iiYiIiIm5RLNVrFgxvvzyS15//XWSkpL4/fffWbp0KUWKFKFChQr24zp27EhCQgLe3t45pg179erFb7/9xpQpUzh06BDr1q3jww8/pGnTpndcywMPPMCjjz7KmDFj+OWXX/j9998ZNWoUly9f5uGHH86NuCIiImIiLtNsffTRRxw7doynnnqKJ554guTkZP79739TuHBh+3GPPfYYhmHQvn37HNOCDz30EB988AE//PADbdq0YcyYMfTo0YPnn3/+ruoZN24c9erVY+DAgXTo0IETJ04we/ZsAgMD7zmriIiImIvFuNHCJBd19OhRHn30UVatWnXdgndX8Nq/NuveiCIictvKlynMuOfrkpJykexsm6PLyTUeHm4UK+bn9LkCA/1wd7/1uJUpVnufOHGC7du388knn9C4cWOXbLTg6t3bRUREbpf+brgGUzRbKSkpDBs2jPLlyzNt2jRHl3NXDMPghSerOroMERFxMVarDZvNNJNUpmSqaURXl5aWgdXqvMOl98Ld3Y2AAB/TZjR7PlBGMzB7PiiYGW02w3TNlqYRJc9YrTan/qHKDWbPaPZ8oIxmYPZ8oIziXFzi3YgiIiIirkojW07kdoYiXdW1bGbNaPZ8oIxmYPZ84PiMZpzSk3unZstJGIZBQICPo8vIc2bPaPZ8oIxmYPZ84LiMNpuVlJQMNVySg5otJ2GxWDjx5QyunD3u6FJEROQueBUvS5nWfXFzs6jZkhzUbDmRK2ePc/nUYUeXISIiIrnIVM1WTEwMGzduzLHN09OTEiVKEBUVxSuvvIKPz70PLcfExFCuXDkmTJhwz+cSERERczNVswVX7484YsQI++NLly6xfv16xo8fj81m44033nBccSIiIlLgmK7Z8vb2JigoKMe2kJAQdu7cyVdffaVmS0RERPKVed//+xeFChXCw+Nqb5mZmUlcXBzR0dGEhYXRrl07Vq9eneP47du38+yzzxIeHk6jRo0YPXo0GRkZ1503OzubAQMG0LRpU44cOZIvWURERMR1mL7Zys7O5ocffmD58uW0a9cOgMGDB7Ns2TJGjRrFihUraN68OQMHDuS7774D4OjRozzzzDOULFmShQsXEh8fz88//8yYMWNynNtqtfLqq6+yc+dO5s+fz/3335/v+URERMS5mW4aceXKlTlGqTIzMylbtiw9e/akX79+JCUlsWbNGqZPn07Tpk0BePHFF9m7dy/Tp0+nefPmfPbZZxQtWpRx48bZR8Pefvtttm7daj+vzWZj+PDhbNu2jfnz51OuXLl8zSkiIiKuwXTNVlRUFEOGDMEwDLZv387YsWNp1KgR/fr1w8PDg3379gFQp06dHM+rV68ekydPBiAxMZFq1arZGy2ABg0a0KBBA/vjVatWkZWVRcWKFa9bIyYiIiJyjemmEf38/AgJCaF8+fK0bduWKVOmsGjRIt5+++2/fZ5hGPbm6s9N1s1cm2L8448/mDZtWq7ULiIiIuZjumbrrxo0aMBzzz3Hp59+yo8//khoaCgAW7ZsyXHc5s2bqVSpEgCVKlVi9+7dWK1W+/5vv/2WqKgoLl++DFwdCatZsyZDhgxh9uzZ7Ny5M58SiYiIiCsxfbMFMHDgQMqXL88bb7xB6dKladasGWPGjOGHH37g999/Z9q0aaxZs4bY2FgAunbtSkpKCqNHjyYpKYlNmzbxzjvv0KBBAwoVKpTj3E8//TQ1atRg+PDhXLlyxRHxRERExIkViGarUKFCvPXWWxw/fpz333+fyZMn07x5c0aMGEHbtm35/vvviY+Pp2XLlgCUKlWKOXPmcPDgQdq3b8+gQYNo1qwZr7/++nXntlgsvP322/z+++98+OGH+R1NREREnJzFMAzdLdNJHJ43WvdGFBFxUYVKhhDSYwwpKRfJzrbl2et4eLhRrJhfnr+OI7lKxsBAP9zdbz1uZbp3I7oyr+JlHV2CiIjcJf0Ol5tRs+UkDMOgTOu+ji5DRETugc1mxWbThJHkpGbLSVgsFtLSMrBanXe49F64u7sREOBj2oxmzwfKaAZmzweOz2izGWq25DpqtpyI1Wpz6rnp3GD2jGbPB8poBmbPBwUjo7gONVtO5HYW2bmqa9nMmtHs+UAZzcDs+SD/MmoES+6Emi0nYRgGAQE+ji4jz5k9o9nzgTKagdnzQd5ntNpspKZcUsMlt0XNlpOwWCx8ujuBU5dOOroUERH5GyV9S9Glanfc3CxqtuS2qNlyIqcuneRY+jFHlyEiIiK5yKUn7g3DYMmSJcTExNCgQQOqV69OixYtGDt2LKdPnwYgOTmZ0NBQNmzYkKe1fP/99xw4cCBPX0NERERcj8s2WzabjRdeeIEJEybQrFkz5s+fzzfffMPIkSPZsWMHHTt25OzZs/lSy7Fjx+jXr1++vZ6IiIi4DpedRpw7dy7r1q3js88+o1q1avbtZcuWpX79+rRu3ZrZs2fTtWvXPK9FdzwSERGRm3HJkS3DMEhISKBt27Y5Gq1rvL29mTdvHi+99JJ927Zt2+jUqRPVq1cnOjqaxYsX53jOsmXLaNu2LTVq1CAqKooPP/wQq9WaY3/r1q0JCwujcePGjB07litXrpCcnEx0dDQAPXr0ID4+Pm9Ci4iIiEtyyWYrOTmZY8eO0ahRo5seU65cOby8vOyPP/74Y55//nm++uorGjduzMiRIzl8+OpNn+fOncuoUaPo3LkzK1asYODAgcyePZsJEyYAsHfvXkaOHMmLL77I6tWrGTduHMuXL2fWrFmUKVOGzz//HID4+HhiY2PzMLmIiIi4GpecRjxz5gwAgYGBObb369cvx0L4smXLMmPGDABeeOEFoqKiABg0aBCffvopu3bt4v777+ejjz6ie/fudOvWDYDy5cuTmprKpEmTGDBgAMnJyVgsFsqVK0fZsmUpW7Yss2fPpnDhwri7u9vrKFKkCH5+fnmeX0RERFyHSzZbxYoVA+D8+fM5to8ZM4bMzEwA5s+fz9q1a+37HnjgAfvnRYoUAeDy5cucO3eOM2fOUKdOnRznevjhh8nKyuLgwYM0btyY8PBwnnzySe677z4iIiKIjo6mevXqeZJPREREzMMlpxGDg4MJCgq67nIOpUqVIiQkhJCQEHtDdY2b2/VRDcO46eJ2m+3qPbU8PDwoVKgQ8+bNY+nSpXTu3JlDhw7Rr18/XnvttVxKJCIiImblks2Wu7s7PXr0YNmyZezdu/eGx5w4ceK2zlWiRAlKlCjBli1bcmzfvHkznp6e3H///axbt45p06ZRtWpV+vTpw7x58xgwYABfffUVcPXq7yIiIiI34pLTiAC9evVi9+7ddO3alT59+tC0aVMKFy5MYmIiCQkJ/Pzzz3Ts2PG2ztWzZ0/ef/99goODiYiIYPv27UybNo3OnTvj7++Pp6cnH3zwAYULFyY6Oprz58/zww8/EB4eDoCvry8AiYmJVK1aFX9//zzLLSIiIq7FZZstNzc34uLiWLVqFYsXL2bevHmkpaVRokQJ6tatS0JCAvXq1SM5OfmW54qNjcXLy4uPP/6YcePGUbp0aXr37k3Pnj0BaNSoEWPHjmXOnDm8//77eHt706RJE4YNGwZcXUPWsWNH3nnnHQ4fPszIkSPzNLuIiIi4DouhK3I6jSmb39O9EUVEnFy5wuUYWPdlUlIukp1ty/fX9/Bwo1gxP4e9fn5wlYyBgX64u996RZZLrtkSERERcRUuO41oRiV9Szm6BBERuQX9rpY7pWbLSRiGQZeq3R1dhoiI3AarzYbNplU4cnvUbDkJi8VCWloGVqvzzk3fC3d3NwICfEyb0ez5QBnNwOz5IP8y2myGmi25bWq2nIjVanPqhYC5wewZzZ4PlNEMzJ4PCkZGcR1qtpzI7byjwVVdy2bWjGbPB8poBmbPB8p4IxqFczxd+sFJGIahK9GLiEius1mtpKRmuFTDZbZLP2hky0lYLBb2z5tHxsmTji5FRERMwqdUKR7s0QM3N4tLNVtmo2bLiWScPMml27jivYiIiLgO805q36Fhw4YRExPj6DJERETEZNRsiYiIiOQhNVsiIiIieUjN1g1kZWUxZcoUmjVrRs2aNenQoQM///yzfX9SUhK9e/cmPDycyMhIXn75ZU6fPu3AikVERMRZqdm6gbFjx7JgwQKGDh3KypUrady4Mf369ePgwYOcPHmSrl27EhISwqJFi5g+fTrp6el07tyZS5cuObp0ERERcTJ6N+JfpKens2jRIkaNGkXLli0BGDRoEIZhkJ6ezooVKyhdujQjR460PycuLo4GDRrw9ddf06FDB0eVLiIiIk5IzdZf/P7772RlZVGzZs0c2wcPHgzAtGnT2L9/P+Hh4Tn2X758maSkpHyrU0RERFyDmq2/8PT0/Nv9NpuNBg0aMHr06Ov2+fv751VZIiIi4qK0ZusvQkJC8PT0ZMeOHTm2P/XUU8ydO5cHH3yQpKQkypQpQ0hICCEhIRQpUoRx48aRmJjooKpFRETEWanZ+gsfHx+6d+/OlClTWLNmDUeOHGHy5MkkJibyyCOP0LVrVy5cuMCQIUPYu3cve/fuZdCgQezYsYPKlSs7unwRERFxMppGvIHBgwfj7u7O6NGjuXDhAlWqVGHmzJlUqFABgISEBN577z26dOmCu7s7tWvXZt68eQQGBjq4chEREXE2FsMwdGdKJ7F90iTdG1FERHKN7333UeOVV0hJuUh2ts3R5dw2Dw83ihXzc/q6AwP9cHe/9SShRraciE+pUo4uQURETER/V5yDRrachGEYWCwWR5chIiImY7NaSUnNwGZznT/3GtmSPGGxWEhLy8Bqdd4fqnvh7u5GQICPaTOaPR8ooxmYPR8o443YbIZLNVpmpGbLiVitNqfu4HOD2TOaPR8ooxmYPR8oozgXNVtO5HaGIl3VtWxmzWj2fKCMZmD2fKCMZpGbGZ1hZE9rtpyE1myJiIjkPpvVRkrqpTxpuLRmy8VYLBa+/XQD505dcHQpIiIiphBY0p8WXerj5mZx6OiWmi0ncu7UBc4cS3V0GSIiIpKLnK7ZioqK4tixY/bHnp6elChRgiZNmjBw4EBdpV1ERERcitM1WwCxsbHExsYCkJmZSWJiIpMmTaJ79+4sXLgQf39/B1coIiIicnuc8q0Mvr6+BAUFERQURHBwMNHR0cyZM4cTJ04wa9YsR5cnIiIictucstm6kbJly9KiRQu+/PJLAEJDQ5k6dSrNmjUjMjKSQ4cOcfz4cQYNGkTDhg2pVq0ajzzyCJMmTcJm+7/rkKxfv54nnniCsLAw2rRpw+LFiwkNDSX5/9+TMDMzk7i4OKKjowkLC6Ndu3asXr3a/vwlS5bQokUL+3+rV69Ohw4d2LJlS/5+QURERMQluEyzBVC5cmWOHj3KxYsXAfjkk0+YOnUq06ZNo3z58jz//PNcuHCBf//733z99dfExsYya9Ys1q5dC8CePXvo27cvDRs2ZPny5Tz//PNMnDgxx2sMHjyYZcuWMWrUKFasWEHz5s0ZOHAg3333nf2YEydOsGDBAiZNmsTSpUvx8fFh2LBh6CoaIiIi8lcu1WwFBAQAkJ6eDkC7du0ICwujVq1aZGZm0q5dO9566y2qVKlCcHAwzz77LCVKlGDfvn0AzJ07l+rVq/Pqq69SoUIFWrduTf/+/e3nT0pKYs2aNYwePZqmTZvywAMP8OKLLxIdHc306dPtx2VlZTFmzBhq1arFgw8+yHPPPceRI0c4ffp0Pn41RERExBU45QL5m7lw4eo1qAoXLgxASEiIfZ+3tzfdu3fn66+/Zvv27Rw+fJh9+/Zx5swZ+zTi7t27adSoUY5z1qtXz/75taasTp061x0zefLkHNsqVqxo//zagv2srKx7yiciIiLm41LN1q5duyhfvjx+fn7A1QbrmkuXLtG9e3cyMzNp2bIlTzzxBDVq1KBbt272Y9zd3XOs37pdhmHg4ZHzS+Xl5XXD40RERET+zGWarT/++IM1a9bQu3fvG+5fv349u3bt4ueff6ZEiRIApKamcvbsWXsTVKVKFbZv357jeVu3brV/HhoaCsCWLVto1qyZffvmzZupVKlSruYRERGRgsEpm61Lly7Z1z9lZmayb98+4uLiuO+++3juuedu+JzSpUsDsGLFCv7xj39w4sQJJk+eTFZWFleuXAGuXr+rffv2vPvuu3Ts2JEDBw4wdepU4OrtcipWrEizZs0YM2YMFouFkJAQvvzyS9asWUNcXFzeBxcRERHTccpma86cOcyZMwe4egX5MmXK0KpVK2JjY+1TiH9Vo0YNhg8fzty5c4mLi6NUqVK0atWKMmXKsGPHDuDquxmnTZvG5MmTmTt3Lg888ADdu3cnPj4eT09PACZPnszkyZMZMWIEaWlpVK5cmfj4eFq0aJE/4UVERMRULEYBWmi0fft2PDw8qFq1qn3bypUree2119i6det167Ly28Ip3+neiCIiIrmkRLmidB7YnJSUi2Rn3/ma7VsJDPTD3f3WF3ZwqUs/3Ks9e/bQo0cP1qxZw/Hjx/nf//5HfHw8rVu3dnijJSIiIuZUoDqMp556itOnTzNu3DhOnjxJ8eLFad26NQMGDHB0aQAEltQ9H0VERHKLs/xdLVDTiM7MMAwsFoujyxARETEVm9VGSuolbLbcb3dudxqxQI1sOTOLxUJaWgZWa+7PKTsDd3c3AgJ8TJvR7PlAGc3A7PlAGc0iNzPabEaeNFp3Qs2WE7FabXmygM+ZmD2j2fOBMpqB2fOBMpqFWTKq2XIitzMU6aquZTNrRrPnA2U0A7PnA+fP6AyjLJL/1Gw5CcMwCAjwcXQZec7sGc2eD5TRDMyeD5w3o9VqJTU1Qw1XAaNmy0lYLBaWzpzAmRNHHV2KiIjkgRJlgnmizzDc3CxqtgoYNVtO5MyJo/xx5ICjyxAREZFcZNpmKyoqimPHjtkfe3p6UqJECZo0acLAgQMJDAy863MvWbKE4cOHs2/fvtwoVUREREzMtM0WXL3xdGxsLHD1htaJiYlMmjSJ7t27s3DhQvz9neNiZyIiImJezvl2jVzi6+tLUFAQQUFBBAcHEx0dzZw5czhx4gSzZs1ydHkiIiJSAJi62bqRsmXL0qJFC7788ksAEhMT6du3L/Xq1aN69er2huya+Ph4unfvzqBBg6hduzZvvfXWdef8+uuvqV69OgsWLMi3HCIiIuIaClyzBVC5cmWOHj1Keno6sbGxFC1alAULFvDFF1/QsmVLJk6cyJ49e+zHb9q0iRIlSrB8+XJiYmJynOu7777jlVdeYfTo0Tz99NP5HUVEREScXIFstgICAgA4f/48PXr04PXXX6dixYqUL1/eflPqvy5+HzBgAMHBwZQvX96+7YcffmDw4MGMGTOGTp065Vv9IiIi4jpMvUD+Zi5cuABA0aJF6dq1K1988QW7d+/myJEj7N27FwCb7f9uD1C8ePEbLqYfOHAgV65c4b777sufwkVERMTlFMiRrV27dlG+fHkuXbpE27Zt+fzzzylVqhRdu3Zl6dKl1x3v7e19w/O8/fbbPProo4wYMYKMjIy8LltERERcUIEb2frjjz9Ys2YNvXv35osvviA1NZXVq1fj6ekJ/N/0oWHc+uq+jz/+OA0aNKBVq1ZMnjyZESNG5GntIiIi4npMPbJ16dIlTp8+zenTpzl69CjfffcdvXr14r777uO5556jdOnSZGRk8PXXX3P8+HHWr1/P4MGDAbhy5cptvUZQUBCvvPIKCQkJbNmyJS/jiIiIiAsy9cjWnDlz7Jdx8PT0pEyZMrRq1YrY2Fj8/Pxo2bIlu3btYsKECaSnp1OuXDk6derEmjVr2LFjB126dLmt1+nUqRMrVqzgtddeY/ny5TeddhQREZGCx2LcznyZ5IuPxrygeyOKiJhU6fsr0Xv0B6SkXCQ723brJ9yEh4cbxYr53fN5nJmrZAwM9MPd/daThKYe2XI1JcoEO7oEERHJI/odX3Cp2XIShmHwRJ9hji5DRETykNVqxWbThFJBo2bLSVgsFtLSMrBanXe49F64u7sREOBj2oxmzwfKaAZmzwfOn9FmM9RsFUBqtpyI1Wpz6rnp3GD2jGbPB8poBmbPBwUjo7gONVtO5HYW2bmqa9nMmtHs+UAZzcDs+cCxGTVqJTejZstJGIZBQICPo8vIc2bPaPZ8oIxmYPZ84JiMNpuNlJRLarjkOmq2nITFYuHwFzu5fPaio0sREZE7VKi4HyFtquPmZlGzJddRs+VELp+9SMapC44uQ0RERHKRKSfuV6xYwVNPPUWtWrUIDw+nY8eOLFiwwL4/JSWFzz//PFdfMyYmhmHDdOkGERERycl0I1uLFi1i7NixjBgxgjp16mAYBj///DNvv/02Z86coX///rzzzjskJyfTqVMnR5crIiIiJme6ZuuTTz6hY8eOPPnkk/ZtFSpU4OTJk8ybN4/+/fujOxSJiIhIfjHdNKKbmxtbt27l/PnzObb36dOHhQsXMmzYMJYuXcrGjRsJDQ0Frr4T8KOPPiI6OpqaNWvSrl07VqxYkeP5SUlJ9O7dm/DwcCIjI3n55Zc5ffp0vuUSERER12S6ZqtXr17s3r2bRx55hD59+jBz5ky2b9+Ov78/DzzwACNGjOCxxx4jPDyc9evXA/D+++/z6aefMmrUKFauXEmPHj144403+M9//gPAyZMn6dq1KyEhISxatIjp06eTnp5O586duXTpkiPjioiIiJMz3TRiy5YtKV26NPPmzePnn39m3bp1AJQvX55x48ZRp04dvL298fT0JCgoiEuXLjF37lwmT55M06ZNAbj//vs5duwYs2fPplu3bnz66aeULl2akSNH2l8nLi6OBg0a8PXXX9OhQwdHRBUREREXYLpmC6BWrVrUqlULm83G3r17WbduHQkJCfTu3Ztvv/02x7EHDhzg8uXLvPzyy7i5/d9AX3Z2NleuXCEzM5Pdu3ezf/9+wsPDczz38uXLJCUl5UsmERERcU2marb++OMPZsyYQd++fSldujRubm5UrVqVqlWr0rx5c9q0acOmTZtyPOfaYvm4uDgqVKhw3Tm9vLyw2Ww0aNCA0aNHX7ff398/b8KIiIiIKZhqzZaXlxeff/75dYvbAQICAgAoUaIEFovFvr1ChQp4eHhw/PhxQkJC7B/r1q1j9uzZuLm58eCDD5KUlESZMmXs+4sUKcK4ceNITEzMt3wiIiLiekzVbAUGBtKrVy+mTJnC+++/z549ezh69Cjff/89/fv3p379+tStWxdfX19OnTrF0aNH8ff35+mnn2bKlCksX76co0ePsmjRIiZNmkTJkiUB6Nq1KxcuXGDIkCHs3buXvXv3MmjQIHbs2EHlypUdnFpEREScmammEQFeeuklypcvz2effcZ//vMfMjMzKVu2LI899hh9+/YFoH379nz77be0adOGb775huHDh1OsWDGmTJnCqVOnKFOmDAMGDKBXr14ABAcHk5CQwHvvvUeXLl1wd3endu3azJs3j8DAQEfGFRERESdnMXSFT6eR+PEG3RtRRMQF+ZT0p/Iz9UlJuUh2ti1PX8vDw41ixfzy5bUcxVUyBgb64e5+60lCU00jioiIiDgb000jurJCxf0cXYKIiNwF/f6Wv6Nmy0kYhkFIm+qOLkNERO6SzWbDZtPKHLmemi0nYbFYSEvLwGp13rnpe+Hu7kZAgI9pM5o9HyijGZg9Hzg2o81mqNmSG1Kz5USsVptTLwTMDWbPaPZ8oIxmYPZ8UDAyiutQs+VEbucdDa7qWjazZjR7PlBGMzB7Pii4GTWq5tx06QcnYRhGjivbi4iI3C6r1UZq6iXTNFxmu/SDRrachMViYeHChZw+fdrRpYiIiAsJCgqic+fOuLlZTNNsmY2aLSdy+vRpjh8/7ugyREREJBe5ZLMVExPDxo0bb7gvNjaWnTt3Uq5cOSZMmHDLcw0bNoxjx44xf/783C5TRERExDWbLYDHHnuMESNGXLfdx8eH559//rbPM2LECKxWa26WJiIiImLnss2Wt7c3QUFB93wef3//XKhGRERE5MbM+97Y/699+/YMHz48x7affvqJsLAwUlNTGTZsGDExMQBs2LCBqlWrsm7dOtq0aUP16tVp2bIl3333nf25VquV999/n8jISGrVqsWAAQMYO3as/RwiIiIif2b6ZqtDhw6sXr2azMxM+7Zly5YRFRVF0aJFrzvearUyadIkRowYwRdffEHlypUZOnQoFy9eBODdd99l4cKFjB49msWLFxMUFKT1XiIiInJTLttsrVy5kvDw8BwfvXr1uu64xx9/nCtXrthHp9LT0/nuu+/o0KHDTc/90ksv0bBhQ8qXL88///lP0tPTSUxMJCMjg08++YSXXnqJFi1aULFiRUaOHEnVqlXzLKeIiIi4NpddsxUVFcWQIUNybPP29r7uuGLFihEdHc2yZcto06YNq1atwt/fn8jIyJueu0KFCvbPCxcuDEBWVhZJSUlkZmZSq1Yt+36LxUKdOnXYu3fvPSYSERERM3LZZsvPz4+QkJDbOrZjx47069ePs2fPsmLFCtq1a4e7u/tNj/fy8rpum2EYeHh42D8XERERuR0uO414JyIjIwkKCuKzzz5j8+bNfzuF+HdCQkLw9vbmt99+y7F927ZtuVCliIiImJHLjmzdCTc3N9q3b8/06dMJCwujYsWKd3UeHx8fYmJimDp1KkFBQVSsWJHPPvuMbdu28fDDD+dy1SIiImIGBaLZgqvvSpw+ffpdj2pdM3DgQLKyshg5ciQZGRk0a9aM6OhoLl++nEuVioiIiJlYjAKyAGnDhg307duXn3766Z4uZPrtt99Sp04dAgMD7dtiY2MpXbo048aNu6cap02bpnsjiojIHSlbtiz9+/cnJeUi2dk2R5eTKzw83ChWzM/pMwUG+uHufusVWaYf2UpKSiIxMZHp06fzxBNP3PMV42fPns0nn3zCq6++SuHChVmzZg2//PILc+bMuedac+OK+CIiUrDob4fzM/3I1tq1axk8eDA1a9YkPj6egICAezpfcnIyEyZMYNOmTWRmZlKpUiX69etHixYt7um8hmFgsVju6RwiIlIwWa02UlMvYbOZ40+62Ua2TN9suRKbzYZZvxsWy9U3Kpg1o9nzgTKagdnzgTKaibu7G1ar8zZaAG5ultsaKFGzJSIiIpKHCsR1tkREREQcRc2WiIiISB5SsyUiIiKSh9RsiYiIiOQhNVsiIiIieUjNloiIiEgeUrMlIiIikofUbImIiIjkITVbIiIiInlIzZaIiIhIHlKzJSIiIpKH1GyJiIiI5CE1WyIiIiJ5SM2WA9lsNqZOnUrjxo2pVasWvXv35ujRo44uK9fMmDGDmJiYHNv27NlD9+7dqVWrFlFRUcybN89B1d2d1NRUXn/9dR555BFq165Nly5d2Lx5s33///73Pzp06EDNmjVp2bIlX375pQOrvTtnz57llVdeoUGDBoSHh9OnTx+SkpLs+139e/hXv//+O+Hh4SxZssS+zQwZT548SWho6HUf13KaIeOyZcto1aoVYWFhtG7dmlWrVtn3JScn07dvX2rXrk1kZCRxcXFYrVYHVntnNmzYcMPvX2hoKNHR0YDrZwTIzs5mypQpNGvWjPDwcLp168Zvv/1m32+Gn1MADHGY+Ph4o379+sb3339v7Nmzx4iNjTUeffRR4/Lly44u7Z4lJCQYVapUMbp3727fdu7cOaN+/frG8OHDjQMHDhiLFi0ywsLCjEWLFjmw0jvz3HPPGW3atDE2bdpkHDx40BgzZoxRo0YNIykpyThw4IARFhZmTJ482Thw4IAxa9Yso2rVqsZ///tfR5d9Rzp37mx06tTJ2LZtm3HgwAHjxRdfNCIjI41Lly6Z4nv4Z1euXDE6dOhgVK5c2Vi8eLFhGOb4OTUMw/jhhx+MsLAw4+TJk8apU6fsHxkZGabIuGzZMqNq1apGQkKCcfjwYePDDz80qlSpYvz666/GlStXjEcffdTo06ePsW/fPuPbb781Hn74YWPKlCmOLvu2Xb58Ocf37dSpU8Y333xjhIaGGosWLTJFRsMwjKlTpxoRERHGTz/9ZBw6dMgYMWKEUadOHePkyZOm+Dm9Rs2Wg1y+fNkIDw83/vOf/9i3nT9/3qhRo4axcuVKB1Z2b/744w+jb9++Rq1atYyWLVvmaLamT59uREZGGllZWfZt7733nvHoo486otQ7dujQIaNy5crG5s2b7dtsNpvRvHlzIy4uzhg1apTx5JNP5njO4MGDjdjY2Pwu9a6lpqYagwcPNvbt22fftmfPHqNy5crGtm3bXP57+Ffvvfee0aNHjxzNllkyzpw503j88cdvuM/VM9psNqNZs2bGhAkTcmyPjY01pk+fbqxcudKoXr26kZqaat+3YMECo3bt2i77P7MXL140mjVrZgwbNswwDMM0Gdu2bWuMHz/e/vjChQtG5cqVjdWrV7v8z+mfaRrRQfbu3cvFixdp2LChfVtAQABVq1Zl06ZNDqzs3uzatQtPT09WrFhBzZo1c+zbvHkzDz/8MB4eHvZtDRo04NChQ5w5cya/S71jxYoVY+bMmYSFhdm3WSwWLBYLaWlpbN68Ocf3E67m27JlC4Zh5He5d6VIkSK89957VK5cGYBz584xd+5cSpcuTaVKlVz+e/hnmzZtYuHChUyYMCHHdrNk3LdvHxUrVrzhPlfP+Pvvv3Ps2DEef/zxHNtnz55N37592bx5M9WqVaNIkSL2fQ0aNCA9PZ09e/bkd7m5Yvr06WRkZDB06FAA02QsXrw433//PcnJyVitVhYuXIiXlxdVqlRx+Z/TP1Oz5SB//PEHAGXKlMmxvWTJkvZ9rigqKor4+HiCg4Ov2/fHH39QunTpHNtKliwJwIkTJ/KlvnsREBBAkyZN8PLysm9bvXo1hw8fpnHjxjfNl5GRQUpKSn6Xe89GjRpFw4YN+fLLLxk7diy+vr4u/z28Ji0tjVdffZWRI0de92/QLBkTExM5d+4c3bp1o1GjRnTp0oUff/wRcP2Mv//+OwCXLl2iZ8+eNGzYkE6dOrF27VrA9fP91bX/6enXrx9FixYFzJNxxIgReHp6Eh0dTVhYGO+//z5Tp07l/vvvN01GULPlMBkZGQA5/nADFCpUiMuXLzuipDyXmZl5w7yAS2b+9ddfGT58OI8++ihNmza9Yb5rj69cueKIEu/JM888w+LFi2nTpg0vvPACu3btMs338I033iA8PPy6kREwx89pdnY2Bw8e5Pz587z44ovMnDmTWrVq0adPH/73v/+5fMb09HQAhg4dSps2bZgzZw4RERH885//NEW+v/rkk0/w9/enc+fO9m1myXjgwAH8/f354IMPWLhwIR06dGDIkCHs2bPHNBkBPG59iOQFb29v4Oof4Wufw9UfIB8fH0eVlae8vb2vazqu/YPx9fV1REl37bvvvmPIkCHUrl2bd999F7j6S+Cv+a49dsXvaaVKlQAYO3Ys27ZtIyEhwRTfw2XLlrF582ZWrlx5w/1myOjh4cGGDRtwd3e3/36pXr06+/fvZ/bs2S6f0dPTE4CePXvyxBNPAPDQQw+xe/du/v3vf7t8vr9atmwZ7du3z/G3wgwZT5w4wcsvv8zcuXOpW7cuAGFhYRw4cID4+HhTZLxGI1sOcm3q4tSpUzm2nzp1ilKlSjmipDxXunTpG+YFXCpzQkICL774Is2aNWP69On2/9MqU6bMDfP5+vri7+/viFLv2Llz5/jyyy/Jzs62b3Nzc6NSpUqcOnXKFN/DxYsXc/bsWZo2bUp4eDjh4eEAjB49ml69epkiI4Cfn1+OP84ADz74ICdPnnT5jNdqvLa28JpKlSqRnJzs8vn+bO/evRw9evS6UVgzZNy2bRtZWVk51sEC1KxZk8OHD5si4zVqthykSpUqFC5cmA0bNti3paWlsXv3burVq+fAyvJOvXr12LJlS47rwPzyyy888MADFC9e3IGV3b5PPvmEt956i27dujF58uQcQ9x169Zl48aNOY7/5ZdfqF27Nm5urvFP7cyZMwwePJj//e9/9m1ZWVns3r2bihUrmuJ7+O677/LVV1+xbNky+wfAgAEDGDt2rCky7t+/n9q1a+f4/QKwc+dOKlWq5PIZq1Wrhp+fH9u2bcuxPTExkfvvv5969eqxe/du+3QjXM3n5+dHlSpV8rvce7J582aKFy9+Xd1myHhtPda+fftybE9MTKR8+fIu/3Oag6PfDlmQTZ482Xj44YeN7777Lsd1tq5cueLo0nLF0KFDc1z64cyZM0a9evWMoUOHGvv37zcWL15shIWFGUuWLHFglbfv4MGDRrVq1YwXXnjhuuvfpKWlGYmJiUa1atWMSZMmGQcOHDBmz57tktfZ6tWrl/Hoo48aGzduNPbt22cMHjzYqFevnnHs2DGX/x7ezJ8v/WCGjFar1ejYsaPRqlUrY9OmTcaBAweMcePGGdWrVzf27dtniowffPCBER4ebqxcuTLHdbZ++eUXIzMz02jevLnRs2dPY8+ePfZrUMXHxzu67Ds2fPhw49lnn71uuxkyWq1Wo0uXLkbLli2N//3vf8bvv/9uvP/++8ZDDz1k/Pbbb6b4Ob1GzZYDZWdnG++8847RoEEDo1atWkbv3r2No0ePOrqsXPPXZsswDGPbtm3GU089ZVSvXt1o1qyZMX/+fAdVd+f+9a9/GZUrV77hx9ChQw3DMIx169YZbdq0MapXr260bNnS+PLLLx1c9Z1LS0szRo8ebURERBg1atQwYmNjjcTERPt+V/4e3syfmy3DMEfG06dPG8OGDTMiIiKMsLAwo3PnzsamTZvs+82Qcc6cOUZUVJRRrVo1o23btsa3335r33fo0CHjueeeM8LCwozIyEgjLi7OsFqtDqz27vTq1ct46aWXbrjPDBlTU1ONN954w2jatKkRHh5udO7c2diwYYN9vxl+Tg3DMCyG4SIXABIRERFxQa6xkERERETERanZEhEREclDarZERERE8pCaLREREZE8pGZLREREJA+p2RIRERHJQ2q2RERERPKQmi0RkXsUFRXFsGHDHF2GiDgpNVsiIiIieUjNloiIiEgeUrMlIpILsrKyeOedd4iIiKBWrVrExsZy+PBhAIYNG0ZMTAyLFi2iWbNmhIeH88wzz7B3714HVy0i+UHNlohILvjqq6/Yv38/EyZMYPTo0ezcuZNBgwbZ9+/Zs4f333+f/v37M2nSJFJSUujevTunTp1yYNUikh88HF2AiIgZlCpVig8//BBPT08ADh8+zL/+9S/S09MBuHDhAtOnT6du3boA1KhRg+bNmzNv3jyGDBnisLpFJO9pZEtEJBfUqFHD3mgB3HfffQCkpaXZH19rtABKlixJeHg4mzZtyt9CRSTfqdkSEckFvr6+OR67uV399Wqz2YCrI19/Vbx4cVJTU/O8NhFxLDVbIiL5ICUl5bptZ86coXjx4g6oRkTyk5otEZF8cOjQIZKSkuyPT548ydatW2nYsKEDqxKR/KAF8iIi+cAwDPr168egQYNwd3dn2rRpFClShJiYGEeXJiJ5TM2WiEg+KFu2LLGxsYwbN46MjAwaNWrEv/71L4oWLero0kQkj1kMwzAcXYSIiJkNGzaMjRs3snbtWkeXIiIOoDVbIiIiInlIzZaIiIhIHtI0ooiIiEge0siWiIiISB5SsyUiIiKSh9RsiYiIiOQhNVsiIiIieUjNloiIiEgeUrMlIiIikofUbImIiIjkITVbIiIiInlIzZaIiIhIHvp/3AL/dHcR2k4AAAAASUVORK5CYII=",
"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": 37,
"id": "3c8e9f47-9aea-4bf0-a628-7aa1a66a8eee",
"metadata": {},
"outputs": [],
"source": [
"bins = [0, 50, 100, 200]\n",
"labels = [\"slow\", \"medium\", \"fast\"]\n",
"pokemon[\"speed_category\"] = pd.cut(pokemon.speed, bins=bins, labels=labels)\n"
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "22f78bec-3d18-4133-ba9f-6595d7181ded",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='speed_category', ylabel='count'>"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"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": 39,
"id": "444d9832-bd57-4238-9ea4-5ee898847170",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='speed'>"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.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": 40,
"id": "86f9747b-00a3-407f-9b73-0bce40bac50d",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='hp', ylabel='speed'>"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.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": 41,
"id": "7385237c-6a5c-4041-af46-559d6d84d1fa",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x1142bcda0>"
]
},
"execution_count": 41,
"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": 42,
"id": "3b268a30-42ff-4ab8-b2cd-c58a76121f9c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='height', ylabel='Count'>"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.histplot(data=people,x=\"height\")"
]
},
{
"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": 43,
"id": "ee30c851-14b1-4901-9182-4304d54d53a6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='age', ylabel='sleep'>"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=people, x=\"age\", y=\"sleep\")"
]
},
{
"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": 44,
"id": "13eeecd8-2518-4ed9-aac5-727a96b5bf80",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='income', ylabel='exercise'>"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.barplot(data=people, x=\"income\", y=\"exercise\")"
]
},
{
"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": 47,
"id": "4ee2eb69-2f9a-42e7-b5d3-9499631bfd06",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='age', ylabel='health'>"
]
},
"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=people, x=\"age\", y=\"health\", hue=\"exercise\")"
]
},
{
"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": 49,
"id": "d7e02da8-beab-40e7-95d0-74a5c2bc838e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='income', ylabel='count'>"
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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+/4nOFBTV6L5DGjZQqzu6yDAspgPUuHGjVVBwXOPHZygysqHefvtNDRkySIsXL1eTJk2rp2AAAKoBAaoWO1NQpFPHCrxdhlu+//6wtm3bqtmzF6hNmyRJUlraCG3dulkbNvxN/fs/5d0CAQAwgUHkqBENGlyhqVNfVsuWrZ3LLBaLLBaLTp4s9mJlAACYR4BCjQgPD1enTrcoICDAueyf//xI339/WL/61a+9WBkAAOZ5PUAdP35cw4cPV8eOHZWcnKwnn3xS+/btc7anp6crMTHR5ZOamupst9vtevXVV9W5c2clJSXpiSee0OHDh132sXPnTvXu3VtJSUlKTU3V0qVLXdrd6QNV6+uvv9SLL07Urbf+Rr/+9S3eLgcAAFO8HqAGDRqkQ4cOaf78+Xr77bcVFBSkPn36qKSkRJL07bff6qmnntLGjRudn7ffftu5/ezZs7VixQpNmjRJb775pux2u/r376/y8nJJUmFhofr27asmTZpo9erVGjRokDIzM7V69Wq3+0DV+vTTfyotbZCuv/4GPf/8C94uBwAA07waoIqKitS4cWO98MILatOmjeLj4zVw4EDl5eVpz549cjgc2rt3r2644QZFR0c7Pw0bNpQklZeXa9GiRRo8eLC6du2qli1basaMGcrNzdWGDRskSatWrZK/v78mTpyo+Ph49erVS3369NH8+fPd7gNVZ/XqlRozZoRuvrmzpkx5WYGBgd4uCQAA07waoBo0aKBp06YpISFBklRQUKCsrCzFxcWpefPm+u6773TmzBldd911F91+165dOn36tDp16uRcFhERodatW2vbtm2SpOzsbHXo0EF+fj89cNixY0cdPHhQ+fn5bvWBqvHXv76tGTOm6t57H9D48S/K39/f2yUBAOARn5nGYOzYsVq1apUCAgI0Z84chYSEaPfu3ZKkZcuW6ZNPPpFhGOrSpYvS0tIUHh6u3NxcSVKjRo1c+oqJiXG25ebmOgPa+e2SdOTIEbf68JSf38Xzqd3unRnEvem77w7plVcy1aXLb/Too31UUHDc2RYYGKSwsLDL3ofVavnFcw4AqLusVs/+7fd0O8mHAtTjjz+uBx98UMuXL9egQYO0YsUK7d69W4ZhKCYmRnPnztV3332nKVOmaM+ePVqyZIlznNT5T3ZJUmBgoIqKzk0wWVpaetF2SSorK3OrD0+cmy089KJtpaVW5ecbHn/hV/6BhzRs4HF9nqrcp9n/6T755B+qqKjQJ598rE8++dil7c4779Lzz0/wuCa7/dzEog0ahCgoKMjjfgAA9UtERLDH2/pMgGrevLkkKSMjQ19++aVef/11ZWRk6OGHH1ZkZKQkKSEhQdHR0XrggQf09ddfO78sy8vLXb44y8rKFBx87qQEBQVdMBi8rKxMkhQSEuJWH56w2x0qLj5z0bby8jLZ7XbZbA5VVNg96ttut6vVHV08ru9y2O12nT1rMzUTee/efdW7d99fbPfkPFSy2c6dj6KiMyopsXncDwCgdrJaDY/CUHFxiWy2n75/IiKC3b5A4NUAVVBQoM2bN+v22293jlEyDEPNmzdXXl6eDMNwhqdKLVq0kHTu1lzlbbe8vDw1adLEuU5eXp4SExMlSXFxccrLy3Ppo/Ln2NhYVVRUXLIPT/1SKLDZLu9FvHa7Q4WFZ3iZ8M94GkgBAPWTzWb3+HvDqwNG8vPzNWTIEG3evNm57OzZs8rJyVF8fLxGjBihPn36uGzz9ddfSzp3xaply5YKCwvT1q1bne3FxcXKyclRSkqKJCklJUXbt2+XzfbTlYktW7aoWbNmioqKcqsPX2S3nwsL3vj4YngCAKAmeTVAJSQkqEuXLnrhhRe0bds27d69W88995yKi4vVp08f3X777dq8ebNmzZql7777Tv/61780evRo9ejRQ/Hx8QoICFDv3r2VmZmpjz76SLt27VJaWpri4uLUrVs3SVKvXr106tQpjRkzRnv37tWaNWuUlZWlAQMGSJJbfQAAAJzP62Ogpk+frmnTpiktLU0nT55U+/bttXz5cl111VW66qqr9PLLL2v+/Pl67bXXFB4errvuukvPPvusc/vBgweroqJC6enpKi0tVUpKihYuXOh8RD4qKkoLFixQRkaGevbsqejoaI0YMUI9e/Z0uw8AAIDzWRwOB/djqoHNZldBwemLtp09W67jx48oKqqR/P0DLroO3Mf5BID6zc/PUGRkqB68u692frP7kuu3uj5BK99drMLC0y5joBo2DHV7EDmT5gAAAJhEgAIAADCJAAUAAGASAQoAAMAkrz+FB88YhoWJNAEA8BICVC1kGBZdcUXIZb0E8XLYbHadOHHGdIgqLCzQrFkztHXrZpWVlSkpqZ3++Mc0XXtt0+opFACAakKAqoUMwyKr1dBbr6zUse/zLr1BFYq+Okb3/+lBGYbFdIAaNWqY7Ha7pk59RcHBIVqwYI7+9Ken9eabf+UlwACAWoUAVYsd+z5PRw786O0y3FJcXKy4uEZ67LG+uu66cy+Ofvzx/urb92EdOLBPrVpd7+UKAQBwHwEKNSIiIkLjx2c4fy4sLNSqVSsUExOrpk2v82JlAACYR4BCjfvznzO0bt1fFRAQoMmTpys4ONjbJQEAYArTGKDGPfDAH7RgwTL9z//crlGjhurbb3d5uyQAAEwhQKHGNWt2nVq2bKXnnhurRo2u0urVK71dEgAAphCgUCNOnDihDz/8QBUVFc5lhmGoadPrlJ9/zIuVAQBgHgEKNaKgIF/jx4/R9u3bnMsqKiq0e/cuNW3azIuVAQBgHoPIa7Hoq2NqzT6vu665Onb8tWbMmKrnnktXRESEli5drJMnT+qBBx6p4ioBAKheBKhayG53yGaz6/4/PeiV/dtsdo9e5TJ+/IuaO3eWxo0brVOnTqpt22T95S+vKS4urhqqBACg+hCgaiG73aETJ87UunfhhYWFadiw5zRs2HPVUBUAADWHAFVL8UJfAAC8h0HkAAAAJhGgAAAATCJAAQAAmESAAgAAMIkABQAAYBIBCgAAwCQCFAAAgEnMA1VLGYal1k2kCQBAXUGAqoUMw6IrGgTL6mf1yv5tFTadKCq5rBD13XeH1K9fb6WljdCdd95VhdUBAFD9CFC1kGFYZPWz6rm0CTqw72CN7rtZfFNNnjFOhmHxOEBVVFRo4sSxKikpqeLqAACoGQSoWuzAvoPa+c1ub5dh2sKF8xQaGurtMgAA8BiDyFGjduz4XO+8s0ajR4/zdikAAHiMAIUac/LkSU2a9LyefXa4YmPjvF0OAAAe83qAOn78uIYPH66OHTsqOTlZTz75pPbt2+ds37lzp3r37q2kpCSlpqZq6dKlLtvb7Xa9+uqr6ty5s5KSkvTEE0/o8OHDLutURR+4fJmZL+mGG9qoW7fu3i4FAIDL4vUANWjQIB06dEjz58/X22+/raCgIPXp00clJSUqLCxU37591aRJE61evVqDBg1SZmamVq9e7dx+9uzZWrFihSZNmqQ333xTdrtd/fv3V3l5uSRVSR+4fH/723p99dUODR36nLdLAQDgsnl1EHlRUZEaN26sAQMGKCEhQZI0cOBA/f73v9eePXu0efNm+fv7a+LEifLz81N8fLwzbPXq1Uvl5eVatGiRhg0bpq5du0qSZsyYoc6dO2vDhg3q0aOHVq1addl94PKtX/+uCgqOq1ev37ksz8x8SR999HdNm/aqlyoDAMA8rwaoBg0aaNq0ac6fCwoKlJWVpbi4ODVv3lwzZ85Uhw4d5Of3U5kdO3bUvHnzlJ+frx9//FGnT59Wp06dnO0RERFq3bq1tm3bph49eig7O/uy+8Dle/75SSorK3NZ9tBDPdWv3wB163aHl6oCAMAzPjONwdixY7Vq1SoFBARozpw5CgkJUW5urvPKVKWYmBhJ0pEjR5SbmytJatSo0QXrVLZVRR+e8vO7+B1Su907M4h7U3R0zEWXR0Y2/MU2s6xWyy+ecwBA3WW1evZvv6fbST4UoB5//HE9+OCDWr58uQYNGqQVK1aotLRUAQEBLusFBgZKksrKypwTMV5snaKiIkmqkj48YRgWRUZefK6j0lKr8vMNj7/wK//Am8U39bg+T1Xu83L+pzufYVx+6LHbLTIMQw0ahCgoKKhK6gIA1H0REcEeb+szAap58+aSpIyMDH355Zd6/fXXFRQUdMFA7srbQCEhP31ZlpeXu3xxlpWVKTj43Empij48Ybc7VFx85qJt5eVlstvtstkcqqiwe9S3rcKmyTO8M5eSrcKms2dtl/0+vI0bsyXJo3PgUo/NIbvdrqKiMyopsV1WXwCA2sdqNTwKQ8XFJbLZfvoOiogIdvsCgVcDVEFBgTZv3qzbb7/dOUbJMAw1b95ceXl5iouLU15enss2lT/HxsaqoqLCuaxJkyYu6yQmJkpSlfThqV8KBjbb5QUPu92hE0UlvEz4ZzwNpACA+slms3v8veHVASP5+fkaMmSINm/e7Fx29uxZ5eTkKD4+XikpKdq+fbtstp+uKmzZskXNmjVTVFSUWrZsqbCwMG3dutXZXlxcrJycHKWkpEhSlfThi+z2c2HBGx9fDE8AANQkrwaohIQEdenSRS+88IK2bdum3bt367nnnlNxcbH69OmjXr166dSpUxozZoz27t2rNWvWKCsrSwMGDJB0btxS7969lZmZqY8++ki7du1SWlqa4uLi1K1bN0mqkj4AAADO5/UxUNOnT9e0adOUlpamkydPqn379lq+fLmuuuoqSdKCBQuUkZGhnj17Kjo6WiNGjFDPnj2d2w8ePFgVFRVKT09XaWmpUlJStHDhQvn7+0uSoqKiLrsPAACA81kcDgf3Y6qBzWZXQcHpi7adPVuu48ePKCqqkfz9Ay66DtzH+QSA+s3Pz1BkZKgevLuvdn6z+5Lrt7o+QSvfXazCwtMuY6AaNgx1exA5k+Z4Edm1anAeAQA1jQDlBVarVdK56Qxw+SrPo9Xq9TvSAIB6gm8cLzAMq4KDw3TqVKEkKSAgUBZL/Zud/HI5HA6Vl5fp1KlCBQeHyTD4fQAAUDMIUF4SEdFQkpwhCp4LDg5znk8AAGoCAcpLLBaLGjSIUnh4pGy2Cm+XU2tZrX5ceQIA1DgClJcZhiHD4MkxAABqE351BwAAMIkABQAAYBIBCgAAwCQCFAAAgEkEKAAAAJMIUAAAACYRoAAAAEwiQAEAAJhEgAIAADCJAAUAAGASAQoAAMAkAhQAAIBJBCgAAACTCFAAAAAmEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJhGgAAAATCJAAQAAmESAAgAAMMnrAerEiRN6/vnn1aVLF7Vr105/+MMflJ2d7Wzv27evEhMTXT6PPvqos72srEwTJkxQp06dlJycrKFDh6qgoMBlH5s3b9a9996rtm3bqnv37lq/fr1Luzt9AAAAVPJ6gBoyZIi++OILTZ8+XatXr1arVq3Ur18/7d+/X5L07bffavz48dq4caPzM3PmTOf2lW0zZ87UkiVLtH//fg0ePNjZvm/fPg0YMECdO3fWmjVrdP/992vEiBHavHmz230AAACcz8+bOz906JA2bdqkFStW6KabbpIkjR07Vp9++qnWrVun3r176/jx42rbtq2io6Mv2P7o0aNau3at5s6dq/bt20uSpk+fru7du+uLL75QcnKylixZosTERKWlpUmS4uPjlZOTowULFqhTp05u9QEAAHA+r16BioyM1Pz583XjjTc6l1ksFlksFhUXF+vbb7+VxWJRs2bNLrr99u3bJUkdO3Z0LmvWrJliY2O1bds2SVJ2drY6derksl3Hjh21fft2ORwOt/oAAAA4n1evQEVEROjWW291WfbBBx/o0KFDGj16tHbv3q3w8HBNnDhRmzZtUkhIiLp3766BAwcqICBAR48eVWRkpAIDA136iImJUW5uriQpNzdXcXFxF7SXlJSosLDQrT485efn9TukAADUeVarZ9+3nm4neTlA/dznn3+uUaNGqVu3buratatGjx6tsrIytWnTRn379tXOnTs1ZcoU/fjjj5oyZYpKSkoUEBBwQT+BgYEqKyuTJJWWll6wTuXP5eXlbvXhCcOwKDIy1OPtAQBA9YqICPZ4W58JUB9++KGGDRumdu3aKTMzU5I0ceJEjRw5Ug0aNJAkJSQkyN/fX2lpaRoxYoSCgoJUXl5+QV9lZWUKDj53UgIDAy9Yp/Ln4OBgt/rwhN3uUHHxGY+3BwAA7rFaDY/CUHFxiWw2u/PniIhgt69K+USAev3115WRkaHu3bvrz3/+s/OKkJ+fnzM8VWrRooWkn27NnThxQuXl5S5XkfLy8hQbGytJatSokfLy8lz6yMvLU0hIiMLDw93qw1MVFfZLrwQAALzCZrN7/F3t9UE6K1as0KRJk/TII49o+vTpLiHm0Ucf1ahRo1zW//rrr+Xv76+mTZvqpptukt1udw4El6QDBw7o6NGjSklJkSS1b99en332mUsfW7ZsUbt27WQYhlt9AAAAnM+rAerAgQN68cUXddttt2nAgAHKz8/XsWPHdOzYMZ08eVK333673nnnHb3xxhs6fPiw3nvvPU2ZMkX9+vVTWFiYYmNj9bvf/U7p6enaunWrvvrqKw0ZMkQdOnRQUlKSpHMh7KuvvlJmZqb27dunRYsW6W9/+5v69+8vSW71AQAAcD6Lw+FweGvnc+fO1YwZMy7a1rNnT02ePFnLly/X8uXLdfjwYUVHR+uBBx7Qk08+KcM4l/3OnDmjF198UR988IEkqUuXLkpPT1dkZKSzr08++URTp07VwYMHdfXVV+uZZ57RnXfe6Wx3pw+zbDa7CgpOe7w9AABwj5+focjIUD14d1/t/Gb3JddvdX2CVr67WIWFp11u4TVsGOr2GCivBqi6jAAFAEDN8EaA8voYKAAAgNqGAAUAAGASAQoAAMAkAhQAAIBJBCgAAACTPApQ27Zt0+nTF3/CrLi4WOvXr7+sogAAAHyZRwHqscce0759+y7alpOTc8Hs4QAAAHWJ2+/CGzlypI4cOSJJcjgcGj9+vMLCwi5Y7+DBg7ryyiurrkIAAAAf4/YVqNtvv10Oh0Pnz7tZ+XPlxzAMJSUl6aWXXqqWYgEAAHyB21egUlNTlZqaKunc++XGjx+v+Pj4aisMAADAV7kdoM63bNmyqq4DAACg1vAoQJWWlmrOnDn6+OOPVVJSIrvd7tJusVj04YcfVkmBAAAAvsajAJWRkaG3335bHTp0UKtWrWQYTCcFAADqD48C1IYNG5SWlqYnn3yyqusBAADweR5dOjp79qzatGlT1bUAAADUCh4FqFtuuUWffPJJVdcCAABQK3h0C+/OO+/UuHHjVFBQoLZt2yo4OPiCde65557LrQ0AAMAneRSgnn32WUnS2rVrtXbt2gvaLRYLAQoAANRZHgWojz76qKrrAAAAqDU8ClCNGzeu6joAAABqDY8C1KxZsy65zh//+EdPugYAAPB5VR6gwsLCFBMTQ4ACAAB1lkcBateuXRcsO3PmjLKzszV+/HiNHTv2sgsDAADwVVX2DpaQkBB16dJFgwYN0pQpU6qqWwAAAJ9T5S+xu+qqq7Rv376q7hYAAMBneHQL72IcDodyc3O1YMECntIDAAB1mkcBqmXLlrJYLBdtczgc3MIDAAB1mkcBatCgQRcNUGFhYeratauaNm16uXUBAAD4LI8C1DPPPFPVdQAAANQaHo+BKigo0KJFi/TZZ5+puLhYkZGRat++vfr06aOoqKiqrBEAAMCnePQUXm5urnr27KklS5YoMDBQrVu3lp+fnxYvXqx77rlHR48ereo6AQAAfIZHAWrq1Kny8/PTe++9p2XLlmn69OlatmyZ3n//fQUFBWnGjBlu93XixAk9//zz6tKli9q1a6c//OEPys7OdrZv3rxZ9957r9q2bavu3btr/fr1LtuXlZVpwoQJ6tSpk5KTkzV06FAVFBS4rFMVfQAAAFTyKEBt3LhRgwcP1jXXXOOy/JprrtGgQYP0ySefuN3XkCFD9MUXX2j69OlavXq1WrVqpX79+mn//v3at2+fBgwYoM6dO2vNmjW6//77NWLECG3evNm5/fjx47Vx40bNnDlTS5Ys0f79+zV48GBne1X0AQAAcD6PxkDZbDZFRkZetK1hw4Y6deqUW/0cOnRImzZt0ooVK3TTTTdJksaOHatPP/1U69at0/Hjx5WYmKi0tDRJUnx8vHJycrRgwQJ16tRJR48e1dq1azV37ly1b99ekjR9+nR1795dX3zxhZKTk7VkyZLL7gMAAOB8Hl2BSkxM1Lp16y7a9s477yghIcGtfiIjIzV//nzdeOONzmUWi0UWi0XFxcXKzs5Wp06dXLbp2LGjtm/fLofDoe3btzuXVWrWrJliY2O1bds2SaqSPgAAAM7n0RWogQMHql+/fioqKtKdd96p6OhoHTt2TOvXr9fGjRv16quvutVPRESEbr31VpdlH3zwgQ4dOqTRo0frr3/9q+Li4lzaY2JiVFJSosLCQh09elSRkZEKDAy8YJ3c3FxJ5wa8X24fnvLzq/I35QAAgJ+xWj37vvV0O8nDAHXzzTdr8uTJyszMdBnvFB0drZdeekm33XabR8V8/vnnGjVqlLp166auXbuqtLRUAQEBLutU/lxeXq6SkpIL2iUpMDBQZWVlklQlfXjCMCyKjAz1eHsAAFC9IiKCPd7W43mg8vLy1Lp1a40cOVJFRUXatWuXZs6c6fb4p5/78MMPNWzYMLVr106ZmZmSzoWY8vJyl/Uqfw4ODlZQUNAF7dK5p+qCg4OrrA9P2O0OFRef8Xh7AADgHqvV8CgMFReXyGazO3+OiAh2+6qURwFq0aJFevnll9W7d2/Fx8dLkho1aqT9+/dr8uTJCgwM1P333+92f6+//royMjLUvXt3/fnPf3ZeEWrUqJHy8vJc1s3Ly1NISIjCw8MVFxenEydOqLy83OUqUl5enmJjY6usD09VVNgvvRIAAPAKm83u8Xe1Rzf/3nzzTT377LMaPXq0c1mjRo2Unp6uP/7xj8rKynK7rxUrVmjSpEl65JFHNH36dJcQ0759e3322Wcu62/ZskXt2rWTYRi66aabZLfbnQPBJenAgQM6evSoUlJSqqwPAACA83kUoI4ePery5Nz52rZtq++//96tfg4cOKAXX3xRt912mwYMGKD8/HwdO3ZMx44d08mTJ/Xoo4/qq6++UmZmpvbt26dFixbpb3/7m/r37y9Jio2N1e9+9zulp6dr69at+uqrrzRkyBB16NBBSUlJklQlfQAAAJzPo1t4jRs31ubNmy+YHkCStm3bdsFTb7/kgw8+0NmzZ/X3v/9df//7313aevbsqcmTJ2v27NmaOnWqlixZoquvvlpTp0512e+kSZP04osv6o9//KMkqUuXLkpPT3e2t2jR4rL7AAAAOJ/F4XA4zG6UlZWlqVOn6rHHHtP//M//KCoqSgUFBfr444+1ePFiDR06VH379q2OemsNm82ugoLT3i4DAIA6z8/PUGRkqB68u692frP7kuu3uj5BK99drMLC0y5joBo2DK3eQeR9+vTR0aNHtWzZMpfxTlarVY8//ni9D08AAKBu83gag5EjR2rgwIHasWOHTpw4oYiICLVp0+YXX/ECAABQV3gcoCQpPDxcnTt3rqpaAAAAagXeNQIAAGASAQoAAMAkAhQAAIBJBCgAAACTCFAAAAAmEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJhGgAAAATCJAAQAAmESAAgAAMIkABQAAYBIBCgAAwCQCFAAAgEkEKAAAAJMIUAAAACYRoAAAAEwiQAEAAJhEgAIAADCJAAUAAGASAQoAAMAkAhQAAIBJBCgAAACTfCpAzZs3T48++qjLsvT0dCUmJrp8UlNTne12u12vvvqqOnfurKSkJD3xxBM6fPiwSx87d+5U7969lZSUpNTUVC1dutSl3Z0+AAAAKvlMgFq+fLlefvnlC5Z/++23euqpp7Rx40bn5+2333a2z549WytWrNCkSZP05ptvym63q3///iovL5ckFRYWqm/fvmrSpIlWr16tQYMGKTMzU6tXr3a7DwAAgPN5PUAdPXpUTz31lDIzM9W0aVOXNofDob179+qGG25QdHS089OwYUNJUnl5uRYtWqTBgwera9euatmypWbMmKHc3Fxt2LBBkrRq1Sr5+/tr4sSJio+PV69evdSnTx/Nnz/f7T4AAADO5/UA9c0338jf31/vvvuu2rZt69L23Xff6cyZM7ruuusuuu2uXbt0+vRpderUybksIiJCrVu31rZt2yRJ2dnZ6tChg/z8/JzrdOzYUQcPHlR+fr5bfQAAAJzP79KrVK/U1FSXMU3n2717tyRp2bJl+uSTT2QYhrp06aK0tDSFh4crNzdXktSoUSOX7WJiYpxtubm5SkhIuKBdko4cOeJWH57y8/N6PgUAoM6zWj37vvV0O8kHAtR/s3v3bhmGoZiYGM2dO1ffffedpkyZoj179mjJkiUqKSmRJAUEBLhsFxgYqKKiIklSaWnpRdslqayszK0+PGEYFkVGhnq8PQAAqF4REcEeb+vTAerpp5/Www8/rMjISElSQkKCoqOj9cADD+jrr79WUFCQpHPjmCr/WzoXjIKDz52UoKCgCwaDl5WVSZJCQkLc6sMTdrtDxcVnPN4eAAC4x2o1PApDxcUlstnszp8jIoLdvirl0wHKMAxneKrUokULSeduzVXedsvLy1OTJk2c6+Tl5SkxMVGSFBcXp7y8PJc+Kn+OjY1VRUXFJfvwVEWF/dIrAQAAr7DZ7B5/V/v0IJ0RI0aoT58+Lsu+/vprSVLz5s3VsmVLhYWFaevWrc724uJi5eTkKCUlRZKUkpKi7du3y2azOdfZsmWLmjVrpqioKLf6AAAANccwLPLzM9z+XM5YJk/59BWo22+/XQMHDtSsWbN0991368CBA5o4caJ69Oih+Ph4SVLv3r2VmZmphg0bqnHjxpo6dari4uLUrVs3SVKvXr20YMECjRkzRv3799dXX32lrKwsTZgwQdK5sU+X6gMAANQMw7DoiitCvBKKzPDpAPXb3/5WL7/8subPn6/XXntN4eHhuuuuu/Tss8861xk8eLAqKiqUnp6u0tJSpaSkaOHChfL395ckRUVFacGCBcrIyFDPnj0VHR2tESNGqGfPnm73AQAAaoZhWGS1GnrrlZU69n3epTeQ1CI5Ubc9XLMXPSwOh8NRo3usJ2w2uwoKTnu7DAAAahU/P0ORkaGaPXymjhz40a1tbrylrR549iE9eHdf7fxm9yXXb3V9gla+u1iFhaddxkA1bBjq9pUv374+BgAA4IMIUAAAACYRoAAAAEwiQAEAAJhEgAIAADCJAAUAAGASAQoAAMAkAhQAAIBJBCgAAACTCFAAAAAmEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJvl5uwAAAFB1DMMiw7C4vb7d7pDd7qjGiuomAhQAAHWEYVh0RYNgWf2sbm9jq7DpRFEJIcokAhQAAHWEYVhk9bPqubQJOrDv4CXXbxbfVJNnjJNhWAhQJhGgAACoYw7sO6id3+z2dhl1GoPIAQAATCJAAQAAmESAAgAAMIkABQAAYBIBCgAAwCQCFAAAgEkEKAAAAJMIUAAAACYRoAAAAEzyqQA1b948Pfrooy7Ldu7cqd69eyspKUmpqalaunSpS7vdbterr76qzp07KykpSU888YQOHz5c5X0AAABU8pkAtXz5cr388ssuywoLC9W3b181adJEq1ev1qBBg5SZmanVq1c715k9e7ZWrFihSZMm6c0335Tdblf//v1VXl5eZX0AAACcz+vvwjt69KjGjRunrVu3qmnTpi5tq1atkr+/vyZOnCg/Pz/Fx8fr0KFDmj9/vnr16qXy8nItWrRIw4YNU9euXSVJM2bMUOfOnbVhwwb16NGjSvoAAAA4n9evQH3zzTfy9/fXu+++q7Zt27q0ZWdnq0OHDvLz+ynndezYUQcPHlR+fr527dql06dPq1OnTs72iIgItW7dWtu2bauyPgAAAM7n9StQqampSk1NvWhbbm6uEhISXJbFxMRIko4cOaLc3FxJUqNGjS5Yp7KtKvrwlJ+f1/MpAKAesVo9+97xdLvqUJO1XM6+vB6g/pvS0lIFBAS4LAsMDJQklZWVqaSkRJIuuk5RUVGV9eEJw7AoMjLU4+0BAKgpERHB3i7BKy7nuH06QAUFBV0wkLusrEySFBISoqCgIElSeXm5878r1wkODq6yPjxhtztUXHzG4+0BADDLajU8CgXFxSWy2ezVUJF5nh6DJ35+3BERwW5flfLpABUXF6e8vDyXZZU/x8bGqqKiwrmsSZMmLuskJiZWWR+eqqjwjf8ZAQD4b2w2e738zrqc4/adm54XkZKSou3bt8tmszmXbdmyRc2aNVNUVJRatmypsLAwbd261dleXFysnJwcpaSkVFkfAAAA5/PpANWrVy+dOnVKY8aM0d69e7VmzRplZWVpwIABks6NW+rdu7cyMzP10UcfadeuXUpLS1NcXJy6detWZX0AAACcz6dv4UVFRWnBggXKyMhQz549FR0drREjRqhnz57OdQYPHqyKigqlp6ertLRUKSkpWrhwofz9/ausDwAAgPP5VICaPHnyBcvatGmjlStX/uI2VqtVw4cP1/Dhw39xnaroAwAAoJJP38IDAADwRQQoAAAAkwhQAAAAJvnUGCgAAPATw7DIMCxur+9Lr2Q5n5nj8NVj+DkCFAAAPsgwLLriipBaEyh+yblXm4XIMGr3cfwcAQoAAB9kGBZZrYbeemWljn2fd+kNJLVITtRtD/vWHIbnrj4Z2vn+JzpTcOl3zDZs2ljNbm5XA5VdHgIUAAA+7Nj3eTpy4Ee31r2ycXQ1V+O5MwVFOnWs4JLrBUc2qIFqLl/dup4GAABQAwhQAAAAJhGgAAAATCJAAQAAmMQgcgCAzzM7H5Ik2e0O2e2OaqoI9R0BCgDg0zydD8lms+vEiTOEKFQLAhQAwKd5Mh9S9NUxuv9PD8owLAQoVAsCFACgVjAzHxJQ3QhQAIA6y8xtP8ZMwQwCFACgzgm7Ikw2m00REcFub2OrsOlEUQkhCm4hQAEA6pyg0GBZrVY9lzZBB/YdvOT6zeKbavKMcYyZgtsIUACAOuvAvoPa+c1ub5eBOoiJNAEAAEziChQAoMaZmRjT7PxPQE0gQAEAapRhWBQZGSLDIBih9iJAAQBq1LmrT4Z2vv+JzhQUXXL9hk0bq9nN7WqgMsB9BCgAgFecKSjSqWMFl1wvOLJBDVRTM7h1WXcQoAAAqAHcuqxbCFAAANQAbl3WLQQoAABqUH28dVkXcR0RAADAJAIUAACASQQoAAAAkxgDBQBeZOaxdkmy2x287BbwAbXiCtTRo0eVmJh4wWfNmjWSpJ07d6p3795KSkpSamqqli5d6rK93W7Xq6++qs6dOyspKUlPPPGEDh8+7LLOpfoAgKpW+Vh7ZGSoiU+IqcAFoHrUiitQu3btUmBgoD788ENZLD/9wxEeHq7CwkL17dtXqampmjBhgnbs2KEJEyYoNDRUvXr1kiTNnj1bK1as0OTJkxUXF6epU6eqf//+WrdunQICAtzqAwCqmtnH2kMaNlCrO7rI398qm83u9n64agVUvVoRoHbv3q2mTZsqJibmgrYlS5bI399fEydOlJ+fn+Lj43Xo0CHNnz9fvXr1Unl5uRYtWqRhw4apa9eukqQZM2aoc+fO2rBhg3r06KFVq1b91z4AVL/6fCvL3cfa/UOCZbfbFRERbKp/m82uEyfO1JnzBfiCWhGgvv32W8XHx1+0LTs7Wx06dJCf30+H0rFjR82bN0/5+fn68ccfdfr0aXXq1MnZHhERodatW2vbtm3q0aPHJfu48sorq+/gAHg0Q7PdbldhYf0KBX6BATIMQ2+9slLHvs9za5voq2N0/58elGFY6tW5AqpbrQhQu3fvVmRkpB555BEdOHBA1157rZ5++ml16dJFubm5SkhIcFm/8krVkSNHlJubK0lq1KjRBetUtl2qD08DlJ9frRhiBnid1WrUyK0sX+Ppu86OfZ+nIwd+rJF9VQdfquXnqrM2jtv3XE5tPh+gKioqtH//fjVv3lzPPfecwsLCtH79ej355JNavHixSktLFRAQ4LJNYGCgJKmsrEwlJSWSdNF1iorO/UN9qT48ce436lCPtgXqK3dvZVUyeyurPuNcuae+nieO2zyfD1B+fn7aunWrrFargoKCJEk33HCD9uzZo4ULFyooKEjl5eUu21SGnpCQEOc25eXlzv+uXCc4+NyJu1QfnrDbHSouPuPRtkB9Y7UaHv1DVlxcUuuvQNXUF5cvnauaPG6zqvM8cdy+5+fHHRER7PZVKZ8PUJIUGnrhlZwWLVpo48aNiouLU16e61iAyp9jY2NVUVHhXNakSROXdRITEyXpkn14qqLCN/6xAuoqm83O3zM3ca7cU1/PE8dtnu/emPyPPXv2qF27dtq6davL8n//+99q3ry5UlJStH37dtlsNmfbli1b1KxZM0VFRally5YKCwtz2b64uFg5OTlKSUmRpEv2AQAAcD6fD1Dx8fG67rrrNHHiRGVnZ2vfvn166aWXtGPHDj399NPq1auXTp06pTFjxmjv3r1as2aNsrKyNGDAAEnnxj717t1bmZmZ+uijj7Rr1y6lpaUpLi5O3bp1k6RL9gEAAHA+n7+FZxiG5s6dq2nTpunZZ59VcXGxWrdurcWLFzufnFuwYIEyMjLUs2dPRUdHa8SIEerZs6ezj8GDB6uiokLp6ekqLS1VSkqKFi5cKH9/f0lSVFTUJfsA4HvMPkFTl+aOAuBdPh+gJOnKK6/USy+99Ivtbdq00cqVK3+x3Wq1avjw4Ro+fLjHfQDwHUwoCcDbakWAAuqT+jwjt7uYUBKAtxGgAB/CjNzmeDKhJABUBQIU4EM8fbksV1UAoGYRoAAfZHZGbgBAzfL5aQwAAAB8DVegAKAeMDPlQ318MAEwiwAFAHVY2BVhstlspqZ8sFXYdKKohBAF/BcEKACow4JCg2W1WvVc2gQd2Hfwkus3i2+qyTPG8WACcAkEKACoBw7sO6id3+z2dhlAncEgcgAAAJO4AgXUAbwTDgBqFgEKqMV4JxwAeAcBCqjFeCccAHgHAQo+i5fquo93wgFAzSJAwSfxUl0AgC8jQMEn8VJdVBdm5AZQFQhQ8Gm8VBdVhRm5AVQlAlQtwFgg4PIxIzeAqkSA8nGMBQKqFjNyA6gKBCgfx1ggc5hQEgBQEwhQtQRjgf47JpQEANQkAhTqBCaUBADUJAJUHVVfb2UxoSQAoCYQoOoYbmX5FrNPUJoNvpejOudD8uXjBoCqQICqY7iV5TsMw6KGkaGymAgSNaG650Py1eMGgKpEgKphNfWbObeyvM8wLLIYFhV9f0i2sjK3tvEPC1d4bKNqrau650Py1eOuCVx5A+oPAlQNqs+/mdfnLxZbWZkqSkvcWtcaEFjN1fykuudD8tXjri71+e83UB8RoGpQff3NnC8W1Af19e83UF8RoLygPv5m7stfLLxcFlWpvv39lur3FWbUXwQoOFV3kPC1LxZeLgtcPq4w1z8E5nMIUKi3QYKXywKXz9evMFen+hgkCMw/IUD9h91u16xZs/TWW2/p5MmTSklJ0fPPP69rrrnG26VVu/oeJHi5LHD5fO0Kc3Wrr0GiPgfmnyNA/cfs2bO1YsUKTZ48WXFxcZo6dar69++vdevWKSAgwNvl1QiCBAC4p74HifoWmC+m9l9PrALl5eVatGiRBg8erK5du6ply5aaMWOGcnNztWHDBm+XBwDwUZVBwp2Pvbzc2+WiChGgJO3atUunT59Wp06dnMsiIiLUunVrbdu2zYuVAQAAX2RxOBy1fxDLZdqwYYOeeeYZffnllwoKCnIu/9Of/qTS0lLNmzfPdJ8Ox4VPqVkskmEYsleclbun3WIxZPj5qfxMiRw2+yXXN/z95B8UqFNFp2SrsLm1D/9Af4WEhej48UJVnD17yfX9/P0VFRUpu90udw6D4+a4L70Nx81x/zKOm+O+lKo6bsOwyGJxb1wbY6AklZScu4/787FOgYGBKioq8qhPi8Uiq/XifwiGn7/p/gJCzL0cOKxBmOl9REVFmlrfMMxdwOS43cdxu4fjdh/H7R6O28316+lxu2zr8ZZ1SOVVp/Kf3Z8uKytTcLC5P3AAAFD3EaAkNWp07qmIvLw8l+V5eXmKjY31RkkAAMCHEaAktWzZUmFhYdq6datzWXFxsXJycpSSkuLFygAAgC9iDJTOjX3q3bu3MjMz1bBhQzVu3FhTp05VXFycunXr5u3yAACAjyFA/cfgwYNVUVGh9PR0lZaWKiUlRQsXLpS/v/mBcgAAoG5jGgMAAACTGAMFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJhGgAAAATCJAAQAAmESAqqPmzZunRx991NtlVLsTJ07o+eefV5cuXdSuXTv94Q9/UHZ2trfLqhHHjx/X8OHD1bFjRyUnJ+vJJ5/Uvn37vF1WjTlw4ICSk5O1Zs0ab5dSI44eParExMQLPvXh+NeuXas777xTN954o373u9/p/fff93ZJ1Wrr1q0X/bNOTEzUb3/7W2+XV60qKir0yiuv6De/+Y2Sk5P1yCOPaMeOHd4u66KYibwOWr58uV5++WW1b9/e26VUuyFDhujYsWOaPn26oqKitGzZMvXr109//etfdd1113m7vGo1aNAg2e12zZ8/X6GhoXrllVfUp08fbdiwQcHBwd4ur1qdPXtWw4YN05kzZ7xdSo3ZtWuXAgMD9eGHH8pisTiXh4eHe7Gq6vfOO+9ozJgxGj16tDp37qz169dryJAhiouLU3JysrfLqxbJycnauHGjy7IdO3bomWee0cCBA71UVc2YM2eO3nrrLU2ePFnXXHONXnvtNfXv31/vvfeeYmJivF2eC65A1SFHjx7VU089pczMTDVt2tTb5VS7Q4cOadOmTRo/frzat2+vZs2aaezYsYqJidG6deu8XV61KioqUuPGjfXCCy+oTZs2io+P18CBA5WXl6c9e/Z4u7xqN3PmTIWFhXm7jBq1e/duNW3aVDExMYqOjnZ+goKCvF1atXE4HHrllVf02GOP6ZFHHlGTJk309NNP69e//rU+++wzb5dXbQICAlz+jENDQ/XSSy+pZ8+e6tWrl7fLq1YffvihevTooVtuuUXXXnutnnvuOZ08edInr0IRoOqQb775Rv7+/nr33XfVtm1bb5dT7SIjIzV//nzdeOONzmUWi0UWi0XFxcVerKz6NWjQQNOmTVNCQoIkqaCgQFlZWYqLi1Pz5s29XF312rZtm1auXKnJkyd7u5Qa9e233yo+Pt7bZdSoAwcO6IcfftBdd93lsnzhwoUaMGCAl6qqeXPnzlVJSYlGjhzp7VKqXVRUlD7++GN9//33stlsWrlypQICAtSyZUtvl3YBbuHVIampqUpNTfV2GTUmIiJCt956q8uyDz74QIcOHdLo0aO9VFXNGzt2rFatWqWAgADNmTNHISEh3i6p2hQXF2vEiBFKT09Xo0aNvF1Ojdq9e7ciIyP1yCOP6MCBA7r22mv19NNPq0uXLt4urdocOHBAknTmzBn169dPOTk5uvrqq/X000/Xm3/rKn85Gjp0qK644gpvl1PtxowZoz/96U/67W9/K6vVKsMwNHPmTDVp0sTbpV2AK1CoMz7//HONGjVK3bp1U9euXb1dTo15/PHHtXr1avXo0UODBg3SN9984+2Sqs348eOVnJx8wRWJuq6iokL79+9XUVGRnnnmGc2fP19JSUl68skntXnzZm+XV21OnTolSRo5cqR69OihRYsW6eabb9bAgQPr9HGfb8WKFQoPD9eDDz7o7VJqxN69exUeHq6//OUvWrlype69914NGzZMO3fu9HZpF+AKFOqEDz/8UMOGDVO7du2UmZnp7XJqVOUtu4yMDH355Zd6/fXX9dJLL3m5qqq3du1aZWdn1/nxbRfj5+enrVu3ymq1Osc83XDDDdqzZ48WLlyoTp06ebnC6uHv7y9J6tevn3r27ClJatWqlXJycrR48eI6e9znW7t2re655546Pdat0pEjRzR06FBlZWU5H4K68cYbtXfvXs2cOVOzZ8/2coWuuAKFWu/111/XM888o9/85jeaO3euAgMDvV1StSsoKND69etVUVHhXGYYhpo3b668vDwvVlZ9Vq9erePHj6tr165KTk52PoE1btw49e/f38vVVb/Q0NALvkRbtGiho0ePeqmi6hcbGytJzrF+lZo3b67vv//eGyXVqF27dunw4cP15orrl19+qbNnz7qMa5Wktm3b6tChQ16q6pcRoFCrrVixQpMmTdIjjzyi6dOnKyAgwNsl1Yj8/HwNGTLE5TbG2bNnlZOTU2cHGmdmZuq9997T2rVrnR9JGjx4sDIyMrxbXDXbs2eP2rVrp61bt7os//e//12nHxq4/vrrFRoaqi+//NJl+e7du31yTExVy87OVlRUlE8OoK4OcXFxks49MHG+yidQfQ238FBrHThwQC+++KJuu+02DRgwQPn5+c62oKCgOj0/TkJCgrp06aIXXnhBL7zwgho0aKB58+apuLhYffr08XZ51aLyasTPRUVF/WJbXREfH6/rrrtOEydO1IQJExQZGalVq1Zpx44dWr16tbfLqzZBQUHq37+//vKXvyg2NlZt2rTR+vXrtWnTJmVlZXm7vGqXk5OjxMREb5dRY9q0aaObbrpJI0eO1Lhx4xQXF6e1a9dq8+bNeuONN7xd3gUIUKi1PvjgA509e1Z///vf9fe//92lrWfPnnX+Mffp06dr2rRpSktL08mTJ9W+fXstX75cV111lbdLQxUzDENz587VtGnT9Oyzz6q4uFitW7fW4sWLL7i9VdcMHDhQwcHBmjFjho4ePar4+HjNnDlTv/rVr7xdWrU7duxYvXjyrpJhGJozZ45efvlljRo1SkVFRUpISFBWVpZPTs1jcTgcDm8XAQAAUJswBgoAAMAkAhQAAIBJBCgAAACTCFAAAAAmEaAAAABMIkABAACYRIACAAAwiQAFoM5ITU3Vc8895+0yANQDTKQJoM7IyclRWFhYvXhPGgDvIkABAACYxC08AHVG5S2877//XomJiXr//fc1ePBgJScnq0OHDkpPT9eZM2ec6zscDmVlZemOO+5QmzZtdNttt2nhwoU6//fKTZs26eGHH9ZNN92kX/3qVxo6dKiOHDnibF+zZo1uvPFGZWdnq1evXrrxxht1++236x//+If279+vxx9/XG3bttVtt92m9evXu9T7448/asiQIerQoYPatm2rxx9/XDk5OdV/ogBcNgIUgDpr3Lhxaty4sWbPnq1+/frp7bff1pw5c5ztU6ZM0ZQpU5Samqq5c+fqvvvuU2ZmpubPny9JWrt2rf73f/9XjRo10vTp0zVq1Ch98cUXevDBB3X8+HFnPxUVFRo6dKgeeughzZkzR8HBwRo2bJieeuopde3aVXPnzlVMTIxGjhyp3NxcSVJBQYEeeughffPNNxo7dqymTZsmu92uRx55RPv27avZEwXAND9vFwAA1eXWW2/VyJEjJUmdOnXSpk2b9M9//lNDhw5VcXGxli5dqt69e2v48OGSpF//+tc6duyYtm3bpieeeEKZmZm65ZZbNG3aNGef7dq105133qmFCxdqxIgRkiS73a6nnnpK999/vySpuLhYaWlpevzxx9W3b19JUnh4uHr16qV///vfiouL05IlS3TixAm98cYbaty4sSSpS5cuuvPOO/XKK6/o1VdfrbHzBMA8AhSAOispKcnl57i4OP3www+SpB07dqiiokLdunVzWSc9PV2StG/fPh07dkxDhw51aW/SpImSk5P12WefuSxPTk52/ndUVJQkqW3bts5lV1xxhaRz4UqSNm/erFatWik2NlYVFRWSJMMw1KVLF7377rueHC6AGkSAAlBnBQcHu/xsGIZzfNOJEyckSQ0bNrzotpXtV1555QVtV1555QVjlcLCwi65/5/3f+jQIV1//fUXbS8pKfmv2wPwLgIUgHopIiJC0rmxSNddd51z+Y8//qjvvvtOkZGRkqT8/PwLtj127Jiz3VPh4eHq0KGD8zbgzwUEBFxW/wCqF4PIAdRLbdq0kb+/vz7++GOX5YsWLdKQIUPUokULRUdH6//+7/9c2g8fPqwdO3aoXbt2l7X/Dh066MCBA2rWrJluvPFG5+edd97R22+/LavVeln9A6heXIECUC81bNhQjz32mLKyshQQEKAOHTroyy+/1BtvvKERI0bIMAwNGTJEo0aN0tChQ3X33XersLBQs2bNUoMGDZyDwz3Vp08fvfPOO+rTp4/+93//V5GRkXrvvfe0atUqjRo1qoqOEkB1IUABqLeGDx+uqKgovfnmm1qwYIGuvvpqjR07Vg899JAk6d5771VoaKjmzZunQYMGKSwsTJ07d9aQIUMUHR19WfuOjY3Vm2++qWnTpmn8+PEqKytT06ZNlZGRofvuu68qDg9ANWImcgAAAJMYAwUAAGASAQoAAMAkAhQAAIBJBCgAAACTCFAAAAAmEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAk/4/UIbjUb6pF7oAAAAASUVORK5CYII=",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.countplot(data=people, x=\"income\",hue=\"education\")\n"
]
},
{
"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": 57,
"id": "b00dd7d6-226b-469c-86d8-b71b328aa576",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x116ec95b0>"
]
},
"execution_count": 57,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x500 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.relplot(data=people, x=\"height\", y=\"weight\", col=\"sex\", s=30, alpha=0.1)"
]
},
{
"cell_type": "markdown",
"id": "e9ff7225-5d08-428b-90e8-ee60f4a4049a",
"metadata": {},
"source": [
"## 2. Crafting a data argument\n",
"\n",
"Everything up to here are just tools, worthless without a clear research question and a convincing argument. Choose a research question that interests you which might be answerable using the `people` dataset. Then do your best to find the answer in the space below. This answer should include data analysis (code cells) as well as written argument (text cells) explaining what the data means and why you believe it answers your question. \n",
"\n",
"Examples of research questions might include:\n",
"\n",
"- Do older people tend to have higher incomes?\n",
"- Do people who sleep at least 6 hours a night tend to report better health? \n",
"- Is it more common for males to be bisexual than females?\n",
"\n",
"**A note of caution:** this lab has given you tools for exploring associations--patterns that tend to co-occur. These tools *do not* equip you to argue that one variable causes another to change. For example: Plot 1.5.4 showed that people who are taller also tend to be heaver, with a lot of individual variation. But are people heavier *because* they are taller? Are they taller because they are heavier? Or maybe neither variable causes the other--perhaps they're both caused by something else. If you want to be able to answer questions like these, take a course on statistics."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6f934273-b829-4bc2-a7f4-a27a3fc44a99",
"metadata": {},
"outputs": [],
"source": [
"Do higher income people excersie more and tend to have doctor? "
]
},
{
"cell_type": "code",
"execution_count": 58,
"id": "8b4b852b-402c-45d4-b3bb-840e47b249ed",
"metadata": {},
"outputs": [
{
"data": {
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"<style scoped>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>age</th>\n",
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" <th>income</th>\n",
" <th>education</th>\n",
" <th>sexual_orientation</th>\n",
" <th>height</th>\n",
" <th>weight</th>\n",
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" <th>no_doctor</th>\n",
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" <th>0</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>other</td>\n",
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" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>65</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
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" <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",
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" <td>35</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.65</td>\n",
" <td>77.11</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>55</td>\n",
" <td>male</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.83</td>\n",
" <td>81.65</td>\n",
" <td>5</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>55</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.80</td>\n",
" <td>76.66</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166420</th>\n",
" <td>45</td>\n",
" <td>female</td>\n",
" <td>8</td>\n",
" <td>3</td>\n",
" <td>heterosexual</td>\n",
" <td>1.63</td>\n",
" <td>86.18</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166421</th>\n",
" <td>25</td>\n",
" <td>male</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.78</td>\n",
" <td>86.18</td>\n",
" <td>4</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166422</th>\n",
" <td>25</td>\n",
" <td>female</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.91</td>\n",
" <td>45.36</td>\n",
" <td>1</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166423</th>\n",
" <td>35</td>\n",
" <td>female</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>heterosexual</td>\n",
" <td>1.60</td>\n",
" <td>68.04</td>\n",
" <td>4</td>\n",
" <td>True</td>\n",
" <td>True</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166424</th>\n",
" <td>35</td>\n",
" <td>male</td>\n",
" <td>7</td>\n",
" <td>2</td>\n",
" <td>heterosexual</td>\n",
" <td>1.75</td>\n",
" <td>86.18</td>\n",
" <td>3</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>8</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>166425 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" age sex income education sexual_orientation height weight \\\n",
"0 55 female 5 2 other 1.55 83.01 \n",
"1 65 female 8 1 heterosexual 1.65 78.02 \n",
"2 35 female 8 4 heterosexual 1.65 77.11 \n",
"3 55 male 8 4 heterosexual 1.83 81.65 \n",
"4 55 female 8 4 heterosexual 1.80 76.66 \n",
"... ... ... ... ... ... ... ... \n",
"166420 45 female 8 3 heterosexual 1.63 86.18 \n",
"166421 25 male 7 2 heterosexual 1.78 86.18 \n",
"166422 25 female 1 2 heterosexual 1.91 45.36 \n",
"166423 35 female 5 4 heterosexual 1.60 68.04 \n",
"166424 35 male 7 2 heterosexual 1.75 86.18 \n",
"\n",
" health no_doctor exercise sleep \n",
"0 2 True True 7 \n",
"1 3 False False 8 \n",
"2 4 True True 7 \n",
"3 5 False True 8 \n",
"4 4 False True 8 \n",
"... ... ... ... ... \n",
"166420 1 False False 6 \n",
"166421 4 False True 6 \n",
"166422 1 False False 8 \n",
"166423 4 True True 6 \n",
"166424 3 False False 8 \n",
"\n",
"[166425 rows x 11 columns]"
]
},
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"people"
]
},
{
"cell_type": "code",
"execution_count": 59,
"id": "3597a140-b2c2-4780-b3b5-cb854b786fbc",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='income', ylabel='count'>"
]
},
"execution_count": 59,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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/19KlSxUQEKCSkopXa5XfMLFBg1++DEtKSip8MRYXFysw8MIH74oxqsNud8hqPX/JbSUlxbLb7bLZHDV+frc+stkcstvtKig4r8JCm6fLAYBay2Ix11iwsVoLZbPV7HdkaGhglWe+PH4KLyio8ixNy5Yt9dlnnykmJka5ubkVtpW/jo6OVllZmbOtSZMmFfq0bt1aklwyRnX9Wjiy2Vhr5AkEVgCoPWw2u1f/m+3R80fff/+9OnXqpB07dlRo/+abb9SiRQslJibqiy++kM32y6zB9u3b1bx5c0VGRqpNmzYKDg6u8H6r1aq9e/cqMfHCZe2uGAMAAOBiHg1Q8fHxuvrqq/Xss89q165dOnDggJ5//nnt3r1bQ4YMUd++fXX27FmNHz9eP/zwg9555x1lZWVp8ODBki6sW0pNTVVmZqY+/vhj7du3T8OHD1dMTIx69eolSS4ZAwAA4GIePYVnNpu1cOFCzZw5U08++aSsVqvatm2r5cuXO6+cW7JkiTIyMpSSkqLGjRtrzJgxSklJcY6Rnp6usrIyTZgwQUVFRUpMTNTSpUudz0aLjIy87DEAAAAu5vEbadZV3EjTe3AjTQBwDW6k+QuPLyLHLy7c+iBQZrPFI/u3223KyyuscojKyJisDz74+2/2+eyzXa4oDQAAr0KA8iIXZp8sOvj3V1R46liN7jswMlbN+zwis9lU5QA1bNgoPfbY487X//Vff1J6+kjdcktPd5UJAIBXIEB5ocJTx1R4/CdPl/G7goODFRwcXKktMrKRhyoCAKBmcBtsuM3Gjet177136sUXM3XbbTdr3LiR+vLLXbrpps46duxnZ7//bHM4HHrjjVd1zz3/pVtuuVH9+/9Vmzd/4KnDAACgEmag4FbZ2Ud18uQJLVv2hoqLi5Wf//uLDhcvnq8tWzZp+PAxatq0mXbv/lKZmdN19uxZ3XXXPTVQNQAAv40ABbfr33+Q4uKulHRhtum3FBYW6s03V2ry5AzdcMNNkqS4uCuVk3NMK1e+RoACAHgFAhTc7qqrrqpy30OHflRJSbGmTBkvs/mXM8w2m00lJSUqLi6Svz8PBAYAeBYBCm73e4Hn4sfslF8B+Oyz09W0abNKfbmPEwDAG7CIHDWq/O7u5879cpPRo0ePOP/ctGkzWSwWHT+eoyuvvMr5s23bVq1a9XqFWSkAADyFbyPUqPj4FgoMbKDXX1+u7Oyj2rFjm1avXuHcHhwcrDvv7KtXXlmgTZs2Kjv7qP7+9/e0YMFcbo8AAPAanMLzQoGRsXV2nw0aBGnixGe1cOE8pabeoxYtWurxx5/UuHGjnH2eeGKEGjYM15IlC3Xy5AlFRUVr4MDB+utfH6yRGgEA+D08C89NqvMsvNr2KJfagmfhAYBr8Cy8XzAD5UXsdofy8gp5mDAAAF6OAOVlCDEAAHg/FpEDAAAYRIACAAAwiAAFAABgEAHKg7gAsmbwOQMAXI0A5QEWy4XbFJSUFHu4kvqh/HO2WLhmAgDgGnyjeIDZbFFgYLDOnr1wDw0/P3+ZTJ65dUFd5nA4VFJSrLNn8xQYGMxjYAAALkOA8pDQ0AhJcoYouE9gYLDz8wYAwBUIUB5iMpkUFhapkJBw2Wxlni6nzrJYfJh5AgC4HAHKw8xms8xmHi8CAEBtwq/mAAAABhGgAAAADCJAAQAAGESAAgAAMIgABQAAYBABCgAAwCACFAAAgEEEKAAAAIMIUAAAAAYRoAAAAAwiQAEAABhEgAIAADCIAAUAAGAQAQoAAMAgAhQAAIBBBCgAAACDCFAAAAAGEaAAAAAMIkABAAAYRIACAAAwiAAFAABgEAEKAADAIAIUAACAQQQoAAAAgwhQAAAABhGgAAAADCJAAQAAGESAAgAAMMirAtTBgweVkJCgd955x9n23XffKTU1VR07dlRycrJee+21Cu+x2+2aO3euunXrpo4dO+qRRx7RkSNHKvRxxRgAAADlvCZAlZaWatSoUTp//ryzLS8vTwMGDFCTJk20du1apaWlKTMzU2vXrnX2mT9/vlauXKnnnntOq1evlt1u16BBg1RSUuKyMQAAAC7mNQFq3rx5Cg4OrtC2Zs0a+fr66tlnn1V8fLz69u2r/v37a/HixZKkkpISLVu2TOnp6erRo4fatGmj2bNnKycnR5s3b3bZGAAAABfzigC1c+dOvfnmm5o+fXqF9l27dikpKUk+Pj7Oti5duujQoUM6efKk9u3bp3Pnzqlr167O7aGhoWrbtq127tzpsjEAAAAu5vEAZbVaNWbMGE2YMEGxsbEVtuXk5CgmJqZCW1RUlCTp2LFjysnJkaRK74uKinJuc8UYAAAAF/P5/S7uNXnyZCUkJOj222+vtK2oqEh+fn4V2vz9/SVJxcXFKiwslKRL9ikoKHDZGNXl4+PxfAoAgMtYLDX3vVaT+6oOjwaodevWadeuXVq/fv0ltwcEBFRayF1cXCxJatCggQICAiRdWMdU/ufyPoGBgS4bozrMZpPCw4Oq/X4AAOqz0NDqfwfXBI8GqLVr1+rUqVPq0aNHhfZJkyZp48aNiomJUW5uboVt5a+jo6NVVlbmbGvSpEmFPq1bt5Ykl4xRHXa7Q1br+d/vCABALWGxmGss2FithbLZ7DWyr3KhoYFVnvnyaIDKzMxUUVFRhbZevXopPT1dd9xxh9577z2tXr1aNptNFotFkrR9+3Y1b95ckZGRCgkJUXBwsHbs2OEMP1arVXv37lVqaqokKTEx8bLHqK6yspr9iwcAoK6w2exe/T3q0ROM0dHRatq0aYUfSYqMjFR0dLT69u2rs2fPavz48frhhx/0zjvvKCsrS4MHD5Z0Yd1SamqqMjMz9fHHH2vfvn0aPny4YmJi1KtXL0lyyRgAAAAX8/gi8t8SGRmpJUuWKCMjQykpKWrcuLHGjBmjlJQUZ5/09HSVlZVpwoQJKioqUmJiopYuXSpfX1+XjQEAAHAxk8PhcHi6iLrIZrPr9Olzni4DAACX8fExKzw8SE/P2ahD2Xlu2UezuHBNG9ZbeXnnavwUXkREUJXXQHn3NYIAAABeiAAFAABgEAEKAADAIAIUAACAQQQoAAAAgwhQAAAABhGgAAAADCJAAQAAGESAAgAAMIgABQAAYBABCgAAwCACFAAAgEEEKAAAAIMIUAAAAAYRoAAAAAwiQAEAABhEgAIAADCIAAUAAGAQAQoAAMAgAhQAAIBBBCgAAACDCFAAAAAGEaAAAAAMIkABAAAYRIACAAAwiAAFAABgEAEKAADAIAIUAACAQQQoAAAAgwhQAAAABhGgAAAADCJAAQAAGESAAgAAMIgABQAAYBABCgAAwCACFAAAgEEEKAAAAIMIUAAAAAYRoAAAAAwiQAEAABhEgAIAADCIAAUAAGAQAQoAAMAgAhQAAIBBBCgAAACDqhWgdu7cqXPnzl1ym9Vq1YYNGy6rKAAAAG9WrQD14IMP6sCBA5fctnfvXo0bN+6yigIAAPBmPlXtOHbsWB07dkyS5HA4NHnyZAUHB1fqd+jQITVq1Mh1FQIAAHiZKs9A3XbbbXI4HHI4HM628tflP2azWR07dtTzzz/vlmIBAAC8QZVnoJKTk5WcnCxJeuCBBzR58mTFx8e7rTAAAABvVeUAdbHXX3/d1XUAAADUGtUKUEVFRVqwYIE++eQTFRYWym63V9huMpm0ZcsWlxQIAADgbap1FV5GRoYWL16s8PBwderUSUlJSRV+EhMTqzzWqVOnNHr0aHXp0kUJCQl69NFHK1zh99133yk1NVUdO3ZUcnKyXnvttQrvt9vtmjt3rrp166aOHTvqkUce0ZEjRyr0ccUYAAAA5ao1A7V582YNHz5cjz766GUXkJaWJrvdrsWLFysoKEhz5sxR//79tXnzZhUVFWnAgAFKTk7WlClTtHv3bk2ZMkVBQUHq27evJGn+/PlauXKlpk+frpiYGM2YMUODBg3S+vXr5efnp7y8vMseAwAA4GLVmoEqLS1V+/btL3vnBQUFiouL09SpU9W+fXvFx8dr6NChys3N1ffff681a9bI19dXzz77rOLj49W3b1/1799fixcvliSVlJRo2bJlSk9PV48ePdSmTRvNnj1bOTk52rx5syS5ZAwAAICLVStA3XTTTfrnP/952TsPCwvTzJkz1apVK0nS6dOnlZWVpZiYGLVo0UK7du1SUlKSfHx+mSjr0qWLDh06pJMnT2rfvn06d+6cunbt6tweGhqqtm3baufOnZLkkjEAAAAuVq1TeL1799akSZN0+vRpdejQQYGBgZX63HnnnYbGnDhxotasWSM/Pz8tWLBADRo0UE5OjjNclYuKipIkHTt2TDk5OZKk2NjYSn3Kt7lijOry8eFRgwCAusNiqbnvtZrcV3VUK0A9+eSTkqR169Zp3bp1lbabTCbDAeqhhx7SvffeqzfeeENpaWlauXKlioqKKq1B8vf3lyQVFxersLBQki7Zp6CgQJJcMkZ1mM0mhYcHVfv9AADUZ6GhlSdnvEm1AtTHH3/s6jrUokULSReu8NuzZ49WrFihgIAAlZSUVOhXXFwsSWrQoIECAgIkXVjHVP7n8j7ls2KuGKM67HaHrNbz1X4/AADexmIx11iwsVoLZbPZf7+jC4WGBlZ55qtaASouLq46b6vk9OnT2rZtm2677TbnGiWz2awWLVooNzdXMTExys3NrfCe8tfR0dEqKytztjVp0qRCn9atW0uSS8aorrKymv2LBwCgrrDZ7F79PVqtAPXSSy/9bp/HH3/8d/ucPHlSI0aM0JIlS9StWzdJF67w27t3r5KTk9WoUSOtXr1aNptNFotFkrR9+3Y1b95ckZGRCgkJUXBwsHbs2OEMP1arVXv37lVqaqokKTEx8bLHAAAAuJjLA1RwcLCioqKqFKBatWql7t27a+rUqZo6darCwsK0aNEiWa1W9e/fX/7+/lqyZInGjx+vQYMG6euvv1ZWVpamTJki6cK6pdTUVGVmZioiIkJxcXGaMWOGYmJi1KtXL0lS3759L3sMAACAi1UrQO3bt69S2/nz57Vr1y5NnjxZEydOrPJYs2bN0syZMzV8+HCdOXNGnTt31htvvKErrrhCkrRkyRJlZGQoJSVFjRs31pgxY5SSkuJ8f3p6usrKyjRhwgQVFRUpMTFRS5cula+vryQpMjLysscAAAC4mMnhcDhcOeDatWu1YsUKvfvuu64cttax2ew6ffqcp8sAAMBlfHzMCg8P0tNzNupQdp5b9tEsLlzThvVWXt65Gl8DFRERVOVF5C6/ycIVV1xR4Vl2AAAAdU21TuFdisPhUE5OjpYsWeKyq/QAAAC8UbUCVJs2bWQymS65zeFw6IUXXrisogAAALxZtQJUWlraJQNUcHCwevTooWbNml1uXQAAAF6rWgHqiSeecHUdAAAAtUa110CdPn1ay5Yt0+effy6r1arw8HB17txZ/fv3V2RkpCtrBAAA8CrVugovJydHKSkpevXVV+Xv76+2bdvKx8dHy5cv15133qnjx4+7uk4AAACvUa0ZqBkzZsjHx0cbN27UVVdd5Ww/cuSIHn74Yc2ePVvTp093WZEAAADepFozUJ999pnS09MrhCdJuuqqq5SWlqZ//vOfLikOAADAG1UrQNlsNoWHh19yW0REhM6ePXtZRQEAAHizagWo1q1ba/369Zfc9t5776lVq1aXVRQAAIA3q9YaqKFDh2rgwIEqKChQ79691bhxY504cUIbNmzQZ599prlz57q6TgAAAK9RrQB14403avr06crMzKyw3qlx48Z6/vnn1bNnT5cVCAAA4G2qfR+o3NxctW3bVmPHjlVBQYH27dunefPmsf4JAADUedUKUMuWLdOLL76o1NRUxcfHS5JiY2P1448/avr06fL399c999zj0kIBAAC8RbUC1OrVq/Xkk0/q0UcfdbbFxsZqwoQJatSokbKysghQAACgzqrWVXjHjx9Xu3btLrmtQ4cOOnr06GUVBQAA4M2qFaDi4uK0bdu2S27buXOnYmJiLqsoAAAAb1atU3j//d//rRkzZqi0tFS33nqrIiMjdfr0aX3yySdavny5Ro4c6eo6AQAAvEa1AlT//v11/Phxvf7668rKynK2WywWPfTQQxowYICr6gMAAPA61b6NwdixYzV06FDt3r1b+fn5Cg0NVfv27X/1ES8AAAB1RbUDlCSFhISoW7durqoFAACgVqjWInIAAID6jAAFAABgEAEKAADAIAIUAACAQQQoAAAAgwhQAAAABhGgAAAADCJAAQAAGESAAgAAMIgABQAAYBABCgAAwCACFAAAgEEEKAAAAIMIUAAAAAYRoAAAAAwiQAEAABhEgAIAADCIAAUAAGAQAQoAAMAgAhQAAIBBBCgAAACDCFAAAAAGEaAAAAAMIkABAAAYRIACAAAwiAAFAABgEAEKAADAIAIUAACAQT6eLgAAgNrIbDbJbDa5dR92u0N2u8Ot+0D1EKAAADDIbDapYcMGsljceyLHZrMrP/88IcoLeTxA5efna9asWfr000919uxZtW7dWiNHjlTnzp0lSdu2bdOMGTN04MABxcbG6oknntBf/vIX5/uLi4s1ffp0ffjhhyoqKlJycrLGjx+viIgIZx9XjAEAQDmz2SSLxayXV21Vdm6BW/YRFxWmtPtvlNlsIkB5IY8HqBEjRujEiROaNWuWIiMj9frrr2vgwIF699135XA4NHjwYA0YMEAzZszQp59+qjFjxigiIkJdu3aVJE2ePFm7du3SvHnz5Ofnp0mTJik9PV0rVqyQJB04cOCyxwAA4FKycwt0KDvP02XAAzwaoA4fPqytW7dq5cqVuu666yRJEydO1L/+9S+tX79ep06dUuvWrTV8+HBJUnx8vPbu3aslS5aoa9euOn78uNatW6eFCxc6Z6xmzZqlP/3pT/rqq6+UkJCgV1999bLHAAAAuJhHr8ILDw/X4sWL1a5dO2ebyWSSyWSS1WrVrl27nLNE5bp06aIvvvhCDodDX3zxhbOtXPPmzRUdHa2dO3dKkkvGAAAAuJhHZ6BCQ0N18803V2jbtGmTDh8+rKefflrvvvuuYmJiKmyPiopSYWGh8vLydPz4cYWHh8vf379Sn5ycHElSTk7OZY9RXT4+3CUCAOoidy8e99S+fk99Pe5L8fgaqIt9+eWXGjdunHr16qUePXqoqKhIfn5+FfqUvy4pKVFhYWGl7ZLk7++v4uJiSXLJGNVhNpsUHh5U7fcDACBJoaGBni7BI7z9uL0mQG3ZskWjRo1Sp06dlJmZKelCiCkpKanQr/x1YGCgAgICKm2XLlxVFxgY6LIxqsNud8hqPV/t9wMAvJfFYq6xL3irtVA2m71G9vV76vpxh4YGVnnmyysC1IoVK5SRkaE//elP+tvf/uacEYqNjVVubm6Fvrm5uWrQoIFCQkIUExOj/Px8lZSUVJhFys3NVXR0tMvGqK6yMu/4Dx4AUHvZbPZ6+X3i7cft8ROMK1eu1HPPPad+/fpp1qxZFUJM586d9fnnn1fov337dnXq1Elms1nXXXed7Ha7cyG4JB08eFDHjx9XYmKiy8YAAAC4mEcD1MGDBzVt2jT17NlTgwcP1smTJ3XixAmdOHFCZ86c0QMPPKCvv/5amZmZOnDggJYtW6YPP/xQgwYNkiRFR0frL3/5iyZMmKAdO3bo66+/1ogRI5SUlKSOHTtKkkvGAAAAuJhHT+Ft2rRJpaWl+uijj/TRRx9V2JaSkqLp06dr/vz5mjFjhl599VVdeeWVmjFjRoXbEjz33HOaNm2aHn/8cUlS9+7dNWHCBOf2li1bXvYYAAAAFzM5HA7uD+8GNptdp0+f83QZAAA38PExKzw8SE/P2ei2O5E3iwvXtGG9lZd3zmvWAtX1446ICKryInKPr4ECAACobQhQAAAABhGgAAAADCJAAQAAGESAAgAAMIgABQAAYBABCgAAwCACFAAAgEEEKAAAAIMIUAAAAAYRoAAAAAwiQAEAABhEgAIAADCIAAUAAGAQAQoAAMAgAhQAAIBBBCgAAACDCFAAAAAGEaAAAAAM8vF0AQCA2s1sNslsNrl1H3a7Q3a7w637AIwgQAEAqs1sNqlhwwayWNx7QsNmsys//zwhCl6DAAUAqDaz2SSLxayXV21Vdm6BW/YRFxWmtPtvlNlsIkDBaxCgAACXLTu3QIey8zxdBlBjWEQOAABgEAEKAADAIAIUAACAQQQoAAAAgwhQAAAABhGgAAAADCJAAQAAGESAAgAAMIgABQAAYBABCgAAwCACFAAAgEEEKAAAAIMIUAAAAAYRoAAAAAwiQAEAABhEgAIAADCIAAUAAGAQAQoAAMAgAhQAAIBBBCgAAACDCFAAAAAGEaAAAAAMIkABAAAYRIACAAAwiAAFAABgEAEKAADAIAIUAACAQQQoAAAAg7wqQC1atEgPPPBAhbbvvvtOqamp6tixo5KTk/Xaa69V2G632zV37lx169ZNHTt21COPPKIjR464fAwAAIByXhOg3njjDb344osV2vLy8jRgwAA1adJEa9euVVpamjIzM7V27Vpnn/nz52vlypV67rnntHr1atntdg0aNEglJSUuGwMAAOBiPp4u4Pjx45o0aZJ27NihZs2aVdi2Zs0a+fr66tlnn5WPj4/i4+N1+PBhLV68WH379lVJSYmWLVumUaNGqUePHpKk2bNnq1u3btq8ebP69OnjkjEAAAAu5vEZqG+//Va+vr56//331aFDhwrbdu3apaSkJPn4/JLzunTpokOHDunkyZPat2+fzp07p65duzq3h4aGqm3bttq5c6fLxgAAALiYx2egkpOTlZycfMltOTk5atWqVYW2qKgoSdKxY8eUk5MjSYqNja3Up3ybK8YAAAC4mMcD1G8pKiqSn59fhTZ/f39JUnFxsQoLCyXpkn0KCgpcNkZ1+fh4fIIPANzKYqm5f+dqcl+/h+OuW/uqDq8OUAEBAZUWchcXF0uSGjRooICAAElSSUmJ88/lfQIDA102RnWYzSaFhwdV+/0AgIpCQ6v/b3JtxnF7J68OUDExMcrNza3QVv46OjpaZWVlzrYmTZpU6NO6dWuXjVEddrtDVuv5ar8fQO1iMpkUEhLg9t+abTa7zpwpksPhcOt+qspiMdfYF53VWiibzV4j+/o9HLf7eeK4Q0MDq/z/sFcHqMTERK1evVo2m00Wi0WStH37djVv3lyRkZEKCQlRcHCwduzY4Qw/VqtVe/fuVWpqqsvGqK6yMu/4Dx6A+/n4mGWxmPXyqq3Kzr280/+/Ji4qTGn33yiHw1Ev/32x2ewcdz3i7cft1QGqb9++WrJkicaPH69Bgwbp66+/VlZWlqZMmSLpwrql1NRUZWZmKiIiQnFxcZoxY4ZiYmLUq1cvl40BAFWVnVugQ9l5ni4DgJt5dYCKjIzUkiVLlJGRoZSUFDVu3FhjxoxRSkqKs096errKyso0YcIEFRUVKTExUUuXLpWvr6/LxgAAALiYVwWo6dOnV2pr37693nzzzV99j8Vi0ejRozV69Ohf7eOKMQAAAMp59zWCAAAAXogABQAAYBABCgAAwCACFAAAgEEEKAAAAIMIUAAAAAYRoAAAAAwiQAEAABjkVTfSBFA3mM0mmc0mt+7DbnfIbveOB+oCqH8IUABcymw2qWHDBlV+onl12Wx25eefJ0QB8AgCFACXMptNsljMennVVmXnFrhlH3FRYUq7/0aZzSYCFACPIEABcIvs3AIdys7zdBkA4BYsIgcAADCIAAUAAGAQAQoAAMAgAhQAAIBBBCgAAACDCFAAAAAGEaAAAAAMIkABAAAYRIACAAAwiAAFAABgEI9yAdzIbDbJbDa5dR92u4PnwQFADSNAAW5iNpvUsGEDWSzunei12ezKzz9PiAKAGkSAAtzEbDbJYjHr5VVblZ1b4JZ9xEWFKe3+G2U2mwhQAFCDCFCAm2XnFuhQdp6nywAAuBCLyAEAAAwiQAEAABhEgAIAADCIAAUAAGAQAQoAAMAgAhQAAIBBBCgAAACDCFAAAAAGEaAAAAAMIkABAAAYxKNcUCPMZpPMZpNb92G3O3geHACgRhCg4HZms0kNGzaQxeLeCU+bza78/POEKACA2xGg4HZms0kWi1kvr9qq7NwCt+wjLipMafffKLPZRIACALgdAaqG1edTWdm5BTqUnefpMgAAuGwEqBrEqSwAAOoGAlQN4lQWAAB1AwHKAziVBQBA7UaAAgAAXsfdy10ud70wAQoAAHiNsJAAOex2hYYGunU/drtNeXmF1Q5RBCgAAOA1ggL8ZDKbdfDvr6jw1DG37CMwMlbN+zxyWeuFCVAAgFrB20/puEt9Pe7CU8dUePwnT5fxqwhQAACvVltO6bhafT3u2oIABaDWqq+/mde3464tp3Rcrb4ed21BgAJQ69TX38zr63GX8/ZTOu5SX4/b2xGggDqAGQnX88bfzOvrcQPeiAAF1GLMSNTP38zr63ED3oQA9X/sdrteeuklvfXWWzpz5owSExP1zDPP6KqrrvJ0adVS32Yk6itmJADAMwhQ/2f+/PlauXKlpk+frpiYGM2YMUODBg3S+vXr5efn5+nyqqy+z0jU1+DIjAQA1CwClKSSkhItW7ZMo0aNUo8ePSRJs2fPVrdu3bR582b16dPHswUaUF9nJOp7cAQA1CwClKR9+/bp3Llz6tq1q7MtNDRUbdu21c6dO2tVgCpX32Yk6mtwBAB4hsnhcNT7b4LNmzfriSee0J49exQQEOBsHzZsmIqKirRo0SLDYzoclU/1mEyS2WxWwdki2Wz2y677Uvx8LQpu4K/Sc1Y57Da37MNktsg3KFR2u11V+a+H4+a4XY3j5rhdjePmuCXJbDbJZDJVaQxmoCQVFhZKUqW1Tv7+/iooKKjWmCaTSRbLpf8SwoIDLtnuSr5BoW7fh9lsbL0Rx+0+HLf7cNxVw3G7D8ftPkaPu8J7XVhHrVU+61RSUlKhvbi4WIGB7l1TAwAAah8ClKTY2FhJUm5uboX23NxcRUdHe6IkAADgxQhQktq0aaPg4GDt2LHD2Wa1WrV3714lJiZ6sDIAAOCNWAOlC2ufUlNTlZmZqYiICMXFxWnGjBmKiYlRr169PF0eAADwMgSo/5Oenq6ysjJNmDBBRUVFSkxM1NKlS+Xr6+vp0gAAgJfhNgYAAAAGsQYKAADAIAIUAACAQQQoAAAAgwhQAAAABhGgAAAADCJAAQAAGESAAgAAMIgAVUctWrRIDzzwgKfLcLv8/Hw988wz6t69uzp16qT7779fu3bt8nRZNeLUqVMaPXq0unTpooSEBD366KM6cOCAp8uqMQcPHlRCQoLeeecdT5dSI44fP67WrVtX+qkPx79u3Tr17t1b7dq101/+8hd98MEHni7JrXbs2HHJv+vWrVvrlltu8XR5blVWVqY5c+boj3/8oxISEtSvXz/t3r3b02VdEncir4PeeOMNvfjii+rcubOnS3G7ESNG6MSJE5o1a5YiIyP1+uuva+DAgXr33Xd19dVXe7o8t0pLS5PdbtfixYsVFBSkOXPmqH///tq8ebMCAwM9XZ5blZaWatSoUTp//rynS6kx+/btk7+/v7Zs2SKTyeRsDwkJ8WBV7vfee+9p/Pjxevrpp9WtWzdt2LBBI0aMUExMjBISEjxdnlskJCTos88+q9C2e/duPfHEExo6dKiHqqoZCxYs0FtvvaXp06frqquu0iuvvKJBgwZp48aNioqK8nR5FTADVYccP35cjz32mDIzM9WsWTNPl+N2hw8f1tatWzV58mR17txZzZs318SJExUVFaX169d7ujy3KigoUFxcnKZOnar27dsrPj5eQ4cOVW5urr7//ntPl+d28+bNU3BwsKfLqFH79+9Xs2bNFBUVpcaNGzt/AgICPF2a2zgcDs2ZM0cPPvig+vXrpyZNmmjIkCG64YYb9Pnnn3u6PLfx8/Or8HccFBSk559/XikpKerbt6+ny3OrLVu2qE+fPrrpppvUtGlTPfXUUzpz5oxXzkIRoOqQb7/9Vr6+vnr//ffVoUMHT5fjduHh4Vq8eLHatWvnbDOZTDKZTLJarR6szP3CwsI0c+ZMtWrVSpJ0+vRpZWVlKSYmRi1atPBwde61c+dOvfnmm5o+fbqnS6lR//73vxUfH+/pMmrUwYMHlZ2drdtvv71C+9KlSzV48GAPVVXzFi5cqMLCQo0dO9bTpbhdZGSkPvnkEx09elQ2m01vvvmm/Pz81KZNG0+XVgmn8OqQ5ORkJScne7qMGhMaGqqbb765QtumTZt0+PBhPf300x6qquZNnDhRa9askZ+fnxYsWKAGDRp4uiS3sVqtGjNmjCZMmKDY2FhPl1Oj9u/fr/DwcPXr108HDx5U06ZNNWTIEHXv3t3TpbnNwYMHJUnnz5/XwIEDtXfvXl155ZUaMmRIvfm3rvyXo5EjR6phw4aeLsftxo8fr2HDhumWW26RxWKR2WzWvHnz1KRJE0+XVgkzUKgzvvzyS40bN069evVSjx49PF1OjXnooYe0du1a9enTR2lpafr22289XZLbTJ48WQkJCZVmJOq6srIy/fjjjyooKNATTzyhxYsXq2PHjnr00Ue1bds2T5fnNmfPnpUkjR07Vn369NGyZct04403aujQoXX6uC+2cuVKhYSE6N577/V0KTXihx9+UEhIiF5++WW9+eabuuuuuzRq1Ch99913ni6tEmagUCds2bJFo0aNUqdOnZSZmenpcmpU+Sm7jIwM7dmzRytWrNDzzz/v4apcb926ddq1a1edX992KT4+PtqxY4csFotzzdO1116r77//XkuXLlXXrl09XKF7+Pr6SpIGDhyolJQUSdIf/vAH7d27V8uXL6+zx32xdevW6c4776zTa93KHTt2TCNHjlRWVpbzIqh27drphx9+0Lx58zR//nwPV1gRM1Co9VasWKEnnnhCf/zjH7Vw4UL5+/t7uiS3O336tDZs2KCysjJnm9lsVosWLZSbm+vBytxn7dq1OnXqlHr06KGEhATnFViTJk3SoEGDPFyd+wUFBVX6Em3ZsqWOHz/uoYrcLzo6WpKca/3KtWjRQkePHvVESTVq3759OnLkSL2Zcd2zZ49KS0srrGuVpA4dOujw4cMequrXEaBQq61cuVLPPfec+vXrp1mzZsnPz8/TJdWIkydPasSIERVOY5SWlmrv3r11dqFxZmamNm7cqHXr1jl/JCk9PV0ZGRmeLc7Nvv/+e3Xq1Ek7duyo0P7NN9/U6YsGrrnmGgUFBWnPnj0V2vfv3++Va2JcbdeuXYqMjPTKBdTuEBMTI+nCBRMXK78C1dtwCg+11sGDBzVt2jT17NlTgwcP1smTJ53bAgIC6vT9cVq1aqXu3btr6tSpmjp1qsLCwrRo0SJZrVb179/f0+W5RflsxH+KjIz81W11RXx8vK6++mo9++yzmjJlisLDw7VmzRrt3r1ba9eu9XR5bhMQEKBBgwbp5ZdfVnR0tNq3b68NGzZo69atysrK8nR5brd37161bt3a02XUmPbt2+u6667T2LFjNWnSJMXExGjdunXatm2bVq1a5enyKiFAodbatGmTSktL9dFHH+mjjz6qsC0lJaXOX+Y+a9YszZw5U8OHD9eZM2fUuXNnvfHGG7riiis8XRpczGw2a+HChZo5c6aefPJJWa1WtW3bVsuXL690equuGTp0qAIDAzV79mwdP35c8fHxmjdvnq6//npPl+Z2J06cqBdX3pUzm81asGCBXnzxRY0bN04FBQVq1aqVsrKyvPLWPCaHw+HwdBEAAAC1CWugAAAADCJAAQAAGESAAgAAMIgABQAAYBABCgAAwCACFAAAgEEEKAAAAIMIUADqjOTkZD311FOeLgNAPcCNNAHUGXv37lVwcHC9eE4aAM8iQAEAABjEKTwAdUb5KbyjR4+qdevW+uCDD5Senq6EhAQlJSVpwoQJOn/+vLO/w+FQVlaW/vznP6t9+/bq2bOnli5dqot/r9y6dav++te/6rrrrtP111+vkSNH6tixY87t77zzjtq1a6ddu3apb9++ateunW677Tb94x//0I8//qiHHnpIHTp0UM+ePbVhw4YK9f78888aMWKEkpKS1KFDBz300EPau3ev+z8oAJeNAAWgzpo0aZLi4uI0f/58DRw4UG+//bYWLFjg3P7CCy/ohRdeUHJyshYuXKi7775bmZmZWrx4sSRp3bp1evjhhxUbG6tZs2Zp3Lhx+uqrr3Tvvffq1KlTznHKyso0cuRI3XfffVqwYIECAwM1atQoPfbYY+rRo4cWLlyoqKgojR07Vjk5OZKk06dP67777tO3336riRMnaubMmbLb7erXr58OHDhQsx8UAMN8PF0AALjLzTffrLFjx0qSunbtqq1bt+rTTz/VyJEjZbVa9dprryk1NVWjR4+WJN1www06ceKEdu7cqUceeUSZmZm66aabNHPmTOeYnTp1Uu/evbV06VKNGTNGkmS32/XYY4/pnnvukSRZrVYNHz5cDz30kAYMGCBJCgkJUd++ffXNN98oJiZGr776qvLz87Vq1SrFxcVJkrp3767evXtrzpw5mjt3bo19TgCMI0ABqLM6duxY4XVMTIyys7MlSbt371ZZWZl69epVoc+ECRMkSQcOHNCJEyc0cuTICtubNGmihIQEff755xXaExISnH+OjIyUJHXo0MHZ1rBhQ0kXwpUkbdu2TX/4wx8UHR2tsrIySZLZbFb37t31/vvvV+dwAdQgAhSAOiswMLDCa7PZ7FzflJ+fL0mKiIi45HvLtzdq1KjStkaNGlVaqxQcHPy7+//P8Q8fPqxrrrnmktsLCwt/8/0APIsABaBeCg0NlXRhLdLVV1/tbP/555/1008/KTw8XJJ08uTJSu89ceKEc3t1hYSEKCkpyXka8D/5+fld1vgA3ItF5ADqpfbt28vX11effPJJhfZly5ZpxIgRatmypRo3bqy///3vFbYfOXJEu3fvVqdOnS5r/0lJSTp48KCaN2+udu3aOX/ee+89vf3227JYLJc1PgD3YgYKQL0UERGhBx98UFlZWfLz81NSUpL27NmjVatWacyYMTKbzRoxYoTGjRunkSNH6o477lBeXp5eeuklhYWFOReHV1f//v313nvvqX///nr44YcVHh6ujRs3as2aNRo3bpyLjhKAuxCgANRbo0ePVmRkpFavXq0lS5boyiuv1MSJE3XfffdJku666y4FBQVp0aJFSktLU3BwsLp166YRI0aocePGl7Xv6OhorV69WjNnztTkyZNVXFysZs2aKSMjQ3fffbcrDg+AG3EncgAAAINYAwUAAGAQAQoAAMAgAhQAAIBBBCgAAACDCFAAAAAGEaAAAAAMIkABAAAYRIACAAAwiAAFAABgEAEKAADAIAIUAACAQQQoAAAAg/4/mIlhjKw1ztgAAAAASUVORK5CYII=",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.countplot(data=people[people.exercise],x=\"income\", hue=\"no_doctor\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "10722c56-13ea-4e86-a30d-59239b40e540",
"metadata": {},
"outputs": [],
"source": [
"Peopel with high income who exercise mostly have doctors, but some with high income do exersise but do not have a doctor. Reglardless of income level, there are always some poeple who do exercise but somehow do not have doctor. I wonder how some of high income people cannot have doctor last year. I wonder if this was case for the last year only or it has been this way for some high income people. "
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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