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"grid_auto_flow": null,
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"_model_name": "LayoutModel",
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"justify_items": null,
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"grid_row": null,
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"max_height": null,
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"align_content": null,
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"visibility": null,
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"align_self": null,
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"height": null,
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"min_height": null,
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"padding": null,
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"grid_auto_rows": null,
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"grid_gap": null,
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"_view_module_version": "1.2.0",
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"object_fit": null,
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"margin": null,
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"display": null,
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"left": null
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}
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}
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}
|
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}
|
||
},
|
||
"cells": [
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "view-in-github",
|
||
"colab_type": "text"
|
||
},
|
||
"source": [
|
||
"<a href=\"https://colab.research.google.com/github/Priyatham-sai-chand/Happiness/blob/master/hivemind1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "tQsU9aGhmLPo",
|
||
"colab_type": "text"
|
||
},
|
||
"source": [
|
||
"# **HiveMind Level : 1**\n",
|
||
"\n",
|
||
"# Task 1\n",
|
||
"\n",
|
||
" **The world happiness\n",
|
||
"index dataset for 2015, 2016 and 2017**\n",
|
||
"\n",
|
||
"Datasets source : [https://www.kaggle.com/unsdsn/world-happiness](https://www.kaggle.com/unsdsn/world-happiness)\n",
|
||
"\n",
|
||
"Raw csv files source : [https://github.com/Priyatham-sai-chand/Happiness/tree/master](https://github.com/Priyatham-sai-chand/Happiness/tree/master)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"id": "VP1EHLddnnsE",
|
||
"colab_type": "code",
|
||
"outputId": "50c9d266-0e96-439d-d9d4-26140bf49299",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 34
|
||
}
|
||
},
|
||
"source": [
|
||
"#Packages\n",
|
||
"import pandas as pd\n",
|
||
"from pprint import pprint\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"%matplotlib"
|
||
],
|
||
"execution_count": 1,
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Using matplotlib backend: agg\n"
|
||
],
|
||
"name": "stdout"
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"id": "yUHCdQe2F8ja",
|
||
"colab_type": "code",
|
||
"colab": {}
|
||
},
|
||
"source": [
|
||
"\n",
|
||
"#URLs contaning the raw csv files\n",
|
||
"url_2015 = \"https://raw.githubusercontent.com/Priyatham-sai-chand/Happiness/master/2015.csv\"\n",
|
||
"url_2016 = \"https://raw.githubusercontent.com/Priyatham-sai-chand/Happiness/master/2016.csv\"\n",
|
||
"url_2017 = \"https://raw.githubusercontent.com/Priyatham-sai-chand/Happiness/master/2017.csv\"\n",
|
||
"\n",
|
||
"#intialising dataframes with the URLs Content\n",
|
||
"df_2015 = pd.read_csv(url_2015)\n",
|
||
"df_2016 = pd.read_csv(url_2016)\n",
|
||
"df_2017 = pd.read_csv(url_2017)\n"
|
||
],
|
||
"execution_count": 0,
|
||
"outputs": []
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "S0yp0ObZCAKa",
|
||
"colab_type": "text"
|
||
},
|
||
"source": [
|
||
"# Question 1 \n",
|
||
"\n",
|
||
"**Countries with a happiness score of less than 5.0**\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"id": "QQPc4ZSniHLc",
|
||
"colab_type": "code",
|
||
"colab": {}
|
||
},
|
||
"source": [
|
||
"def happiness_less_than_score(df,score):\n",
|
||
" \"\"\"Gathers the country names with happiness score less than specified.\"\"\"\n",
|
||
" if df.equals(df_2015):\n",
|
||
" return df_2015['Country'][df_2015['Happiness Score'] < score]\n",
|
||
" elif df.equals(df_2016):\n",
|
||
" return df_2016['Country'][df_2016['Happiness Score'] < score]\n",
|
||
" elif df.equals(df_2017):\n",
|
||
" return df_2017['Country'][df_2017['Happiness.Score'] < score]\n",
|
||
" \n",
|
||
"\n"
|
||
],
|
||
"execution_count": 0,
|
||
"outputs": []
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "VMwEAVyyCijU",
|
||
"colab_type": "text"
|
||
},
|
||
"source": [
|
||
"**Answer**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"id": "WoMb20oCvxY4",
|
||
"colab_type": "code",
|
||
"outputId": "15265a3f-127a-4a30-855c-b16d25d7b1ab",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 173
|
||
}
|
||
},
|
||
"source": [
|
||
"### Run this cell ###\n",
|
||
"\n",
|
||
"result = happiness_less_than_score(df_2015,5.0)\n",
|
||
"print(\"In Year 2015: \")\n",
|
||
"print(result.tolist()) #pprint(result.tolist())\n",
|
||
"print()\n",
|
||
"result = happiness_less_than_score(df_2016,5.0)\n",
|
||
"print(\"In Year 2016: \")\n",
|
||
"print(result.tolist()) #pprint(result.tolist())\n",
|
||
"print()\n",
|
||
"result = happiness_less_than_score(df_2017,5.0)\n",
|
||
"print(\"In Year 2017: \")\n",
|
||
"print(result.tolist()) #pprint(result.tolist())"
|
||
],
|
||
"execution_count": 4,
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"text": [
|
||
"In Year 2015: \n",
|
||
"['Mozambique', 'Albania', 'Bosnia and Herzegovina', 'Lesotho', 'Dominican Republic', 'Laos', 'Mongolia', 'Swaziland', 'Greece', 'Lebanon', 'Hungary', 'Honduras', 'Tajikistan', 'Tunisia', 'Palestinian Territories', 'Bangladesh', 'Iran', 'Ukraine', 'Iraq', 'South Africa', 'Ghana', 'Zimbabwe', 'Liberia', 'India', 'Sudan', 'Haiti', 'Congo (Kinshasa)', 'Nepal', 'Ethiopia', 'Sierra Leone', 'Mauritania', 'Kenya', 'Djibouti', 'Armenia', 'Botswana', 'Myanmar', 'Georgia', 'Malawi', 'Sri Lanka', 'Cameroon', 'Bulgaria', 'Egypt', 'Yemen', 'Angola', 'Mali', 'Congo (Brazzaville)', 'Comoros', 'Uganda', 'Senegal', 'Gabon', 'Niger', 'Cambodia', 'Tanzania', 'Madagascar', 'Central African Republic', 'Chad', 'Guinea', 'Ivory Coast', 'Burkina Faso', 'Afghanistan', 'Rwanda', 'Benin', 'Syria', 'Burundi', 'Togo']\n",
|
||
"\n",
|
||
"In Year 2016: \n",
|
||
"['Tajikistan', 'Mongolia', 'Laos', 'Nigeria', 'Honduras', 'Iran', 'Zambia', 'Nepal', 'Palestinian Territories', 'Albania', 'Bangladesh', 'Sierra Leone', 'Iraq', 'Namibia', 'Cameroon', 'Ethiopia', 'South Africa', 'Sri Lanka', 'India', 'Myanmar', 'Egypt', 'Armenia', 'Kenya', 'Ukraine', 'Ghana', 'Congo (Kinshasa)', 'Georgia', 'Congo (Brazzaville)', 'Senegal', 'Bulgaria', 'Mauritania', 'Zimbabwe', 'Malawi', 'Sudan', 'Gabon', 'Mali', 'Haiti', 'Botswana', 'Comoros', 'Ivory Coast', 'Cambodia', 'Angola', 'Niger', 'South Sudan', 'Chad', 'Burkina Faso', 'Uganda', 'Yemen', 'Madagascar', 'Tanzania', 'Liberia', 'Guinea', 'Rwanda', 'Benin', 'Afghanistan', 'Togo', 'Syria', 'Burundi']\n",
|
||
"\n",
|
||
"In Year 2017: \n",
|
||
"['Nepal', 'Mongolia', 'South Africa', 'Tunisia', 'Palestinian Territories', 'Egypt', 'Bulgaria', 'Sierra Leone', 'Cameroon', 'Iran', 'Albania', 'Bangladesh', 'Namibia', 'Kenya', 'Mozambique', 'Myanmar', 'Senegal', 'Zambia', 'Iraq', 'Gabon', 'Ethiopia', 'Sri Lanka', 'Armenia', 'India', 'Mauritania', 'Congo (Brazzaville)', 'Georgia', 'Congo (Kinshasa)', 'Mali', 'Ivory Coast', 'Cambodia', 'Sudan', 'Ghana', 'Ukraine', 'Uganda', 'Burkina Faso', 'Niger', 'Malawi', 'Chad', 'Zimbabwe', 'Lesotho', 'Angola', 'Afghanistan', 'Botswana', 'Benin', 'Madagascar', 'Haiti', 'Yemen', 'South Sudan', 'Liberia', 'Guinea', 'Togo', 'Rwanda', 'Syria', 'Tanzania', 'Burundi', 'Central African Republic']\n"
|
||
],
|
||
"name": "stdout"
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "G81dLVMKHxP4",
|
||
"colab_type": "text"
|
||
},
|
||
"source": [
|
||
"# Question 2\n",
|
||
"\n",
|
||
" **Which is the unhappiest country in Sub-Saharan Africa?**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"id": "PuTbRNV1iKCn",
|
||
"colab_type": "code",
|
||
"colab": {}
|
||
},
|
||
"source": [
|
||
"def unhappiest_in_region(df,region):\n",
|
||
" \"\"\" Finds the least happiness score in the specified region.\"\"\"\n",
|
||
" if df.equals(df_2015):\n",
|
||
" df_temp = df_2015[df_2015['Region'] == region]\n",
|
||
" return df_temp[df_temp['Happiness Score'] == df_temp['Happiness Score'].min()]\n",
|
||
" elif df.equals(df_2016):\n",
|
||
" df_temp = df_2016[df_2016['Region'] == region]\n",
|
||
" return df_temp[df_temp['Happiness Score'] == df_temp['Happiness Score'].min()]\n",
|
||
" elif df.equals(df_2017):\n",
|
||
" # Since 2017 report doesn't contain regions they are explictly taken from the 2015 year's countries under that region.\n",
|
||
"\n",
|
||
" df_region_country = df_2015['Country'][df_2015['Region'] == region].to_frame()\n",
|
||
" df_temp = df_2017[df_2017['Country'].isin(df_region_country['Country'])]\n",
|
||
" return df_temp[df_temp['Happiness.Score'] == df_temp['Happiness.Score'].min()]\n",
|
||
"\n",
|
||
"\n"
|
||
],
|
||
"execution_count": 0,
|
||
"outputs": []
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "KnBWfhCRnLX-",
|
||
"colab_type": "text"
|
||
},
|
||
"source": [
|
||
"**Answer:**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "sAJozClfuzOg",
|
||
"colab_type": "text"
|
||
},
|
||
"source": [
|
||
""
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"id": "Nhg53virJyIg",
|
||
"colab_type": "code",
|
||
"outputId": "50a6e85c-7c9e-431a-b062-07a457a12390",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 153
|
||
}
|
||
},
|
||
"source": [
|
||
"### Run this cell ###\n",
|
||
"\n",
|
||
"result = unhappiest_in_region(df_2015,\"Sub-Saharan Africa\")\n",
|
||
"print(\"In Year 2015: \")\n",
|
||
"print(result['Country'].tolist()) \n",
|
||
"print()\n",
|
||
"result = unhappiest_in_region(df_2016,\"Sub-Saharan Africa\")\n",
|
||
"print(\"In Year 2016: \")\n",
|
||
"print(result['Country'].tolist()) \n",
|
||
"print()\n",
|
||
"result = unhappiest_in_region(df_2017,\"Sub-Saharan Africa\")\n",
|
||
"print(\"In Year 2017: \")\n",
|
||
"print(result['Country'].tolist()) "
|
||
],
|
||
"execution_count": 6,
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"text": [
|
||
"In Year 2015: \n",
|
||
"['Togo']\n",
|
||
"\n",
|
||
"In Year 2016: \n",
|
||
"['Burundi']\n",
|
||
"\n",
|
||
"In Year 2017: \n",
|
||
"['Central African Republic']\n"
|
||
],
|
||
"name": "stdout"
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "4_g7pwTToMFy",
|
||
"colab_type": "text"
|
||
},
|
||
"source": [
|
||
"# Question 3\n",
|
||
"\n",
|
||
"3. Compare the Unhappiest and happiest countries in each region"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"id": "msP1YFy9oRtA",
|
||
"colab_type": "code",
|
||
"colab": {}
|
||
},
|
||
"source": [
|
||
"def happiest_in_region(df,region):\n",
|
||
" \"\"\" Finds the most happiness score in the specified region.\"\"\"\n",
|
||
" if df.equals(df_2015):\n",
|
||
" df_temp = df_2015[df_2015['Region'] == region]\n",
|
||
" return df_temp[df_temp['Happiness Score'] == df_temp['Happiness Score'].max()]\n",
|
||
" elif df.equals(df_2016):\n",
|
||
" df_temp = df_2016[df_2016['Region'] == region]\n",
|
||
" return df_temp[df_temp['Happiness Score'] == df_temp['Happiness Score'].max()]\n",
|
||
" elif df.equals(df_2017):\n",
|
||
" # Since 2017 report doesn't contain regions they are explictly taken from the 2015 year's countries under that region.\n",
|
||
"\n",
|
||
" df_region_country = df_2015['Country'][df_2015['Region'] == region].to_frame()\n",
|
||
" df_temp = df_2017[df_2017['Country'].isin(df_region_country['Country'])]\n",
|
||
" return df_temp[df_temp['Happiness.Score'] == df_temp['Happiness.Score'].max()]"
|
||
],
|
||
"execution_count": 0,
|
||
"outputs": []
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "75LzYGVl_mNB",
|
||
"colab_type": "text"
|
||
},
|
||
"source": [
|
||
"**Answer**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"id": "APYCHnWqoSN4",
|
||
"colab_type": "code",
|
||
"outputId": "6ebc9569-259d-4b41-83eb-c16cfd936ccc",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 1000
|
||
}
|
||
},
|
||
"source": [
|
||
"\n",
|
||
"## Run this cell ##\n",
|
||
"\n",
|
||
"print('In the Year 2015 ')\n",
|
||
"for region in df_2015['Region'].unique():\n",
|
||
" print()\n",
|
||
" print(region )\n",
|
||
" print()\n",
|
||
" result = unhappiest_in_region(df_2015,region) #from question 2\n",
|
||
" result1 = happiest_in_region(df_2015,region)\n",
|
||
" display(result1.append(result))\n",
|
||
"\n",
|
||
"print('In the Year 2016 ')\n",
|
||
"for region in df_2016['Region'].unique():\n",
|
||
" print\n",
|
||
" print(region )\n",
|
||
" print()\n",
|
||
" result = unhappiest_in_region(df_2016,region) #from question 2\n",
|
||
" result1 = happiest_in_region(df_2016,region)\n",
|
||
" display(result1.append(result))\n",
|
||
"\n",
|
||
"print('In the Year 2017 ')\n",
|
||
"for region in df_2015['Region'].unique():\n",
|
||
" print()\n",
|
||
" print(region )\n",
|
||
" print()\n",
|
||
" result = unhappiest_in_region(df_2017,region) #from question 2\n",
|
||
" result1 = happiest_in_region(df_2017,region)\n",
|
||
" display(result1.append(result))\n"
|
||
],
|
||
"execution_count": 8,
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"text": [
|
||
"In the Year 2015 \n",
|
||
"\n",
|
||
"Western Europe\n",
|
||
"\n"
|
||
],
|
||
"name": "stdout"
|
||
},
|
||
{
|
||
"output_type": "display_data",
|
||
"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>Country</th>\n",
|
||
" <th>Region</th>\n",
|
||
" <th>Happiness Rank</th>\n",
|
||
" <th>Happiness Score</th>\n",
|
||
" <th>Standard Error</th>\n",
|
||
" <th>Economy (GDP per Capita)</th>\n",
|
||
" <th>Family</th>\n",
|
||
" <th>Health (Life Expectancy)</th>\n",
|
||
" <th>Freedom</th>\n",
|
||
" <th>Trust (Government Corruption)</th>\n",
|
||
" <th>Generosity</th>\n",
|
||
" <th>Dystopia Residual</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Switzerland</td>\n",
|
||
" <td>Western Europe</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>7.587</td>\n",
|
||
" <td>0.03411</td>\n",
|
||
" <td>1.39651</td>\n",
|
||
" <td>1.34951</td>\n",
|
||
" <td>0.94143</td>\n",
|
||
" <td>0.66557</td>\n",
|
||
" <td>0.41978</td>\n",
|
||
" <td>0.29678</td>\n",
|
||
" <td>2.51738</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>101</th>\n",
|
||
" <td>Greece</td>\n",
|
||
" <td>Western Europe</td>\n",
|
||
" <td>102</td>\n",
|
||
" <td>4.857</td>\n",
|
||
" <td>0.05062</td>\n",
|
||
" <td>1.15406</td>\n",
|
||
" <td>0.92933</td>\n",
|
||
" <td>0.88213</td>\n",
|
||
" <td>0.07699</td>\n",
|
||
" <td>0.01397</td>\n",
|
||
" <td>0.00000</td>\n",
|
||
" <td>1.80101</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Country Region ... Generosity Dystopia Residual\n",
|
||
"0 Switzerland Western Europe ... 0.29678 2.51738\n",
|
||
"101 Greece Western Europe ... 0.00000 1.80101\n",
|
||
"\n",
|
||
"[2 rows x 12 columns]"
|
||
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|
||
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|
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|
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|
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|
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|
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|
||
"\n",
|
||
"North America\n",
|
||
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|
||
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|
||
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|
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>5</td>\n",
|
||
" <td>7.427</td>\n",
|
||
" <td>0.03553</td>\n",
|
||
" <td>1.32629</td>\n",
|
||
" <td>1.32261</td>\n",
|
||
" <td>0.90563</td>\n",
|
||
" <td>0.63297</td>\n",
|
||
" <td>0.32957</td>\n",
|
||
" <td>0.45811</td>\n",
|
||
" <td>2.45176</td>\n",
|
||
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|
||
" <tr>\n",
|
||
" <th>14</th>\n",
|
||
" <td>United States</td>\n",
|
||
" <td>North America</td>\n",
|
||
" <td>15</td>\n",
|
||
" <td>7.119</td>\n",
|
||
" <td>0.03839</td>\n",
|
||
" <td>1.39451</td>\n",
|
||
" <td>1.24711</td>\n",
|
||
" <td>0.86179</td>\n",
|
||
" <td>0.54604</td>\n",
|
||
" <td>0.15890</td>\n",
|
||
" <td>0.40105</td>\n",
|
||
" <td>2.51011</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
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|
||
" Country Region ... Generosity Dystopia Residual\n",
|
||
"4 Canada North America ... 0.45811 2.45176\n",
|
||
"14 United States North America ... 0.40105 2.51011\n",
|
||
"\n",
|
||
"[2 rows x 12 columns]"
|
||
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|
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|
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|
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|
||
"\n",
|
||
"Australia and New Zealand\n",
|
||
"\n"
|
||
],
|
||
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|
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|
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|
||
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <tr>\n",
|
||
" <th>8</th>\n",
|
||
" <td>New Zealand</td>\n",
|
||
" <td>Australia and New Zealand</td>\n",
|
||
" <td>9</td>\n",
|
||
" <td>7.286</td>\n",
|
||
" <td>0.03371</td>\n",
|
||
" <td>1.25018</td>\n",
|
||
" <td>1.31967</td>\n",
|
||
" <td>0.90837</td>\n",
|
||
" <td>0.63938</td>\n",
|
||
" <td>0.42922</td>\n",
|
||
" <td>0.47501</td>\n",
|
||
" <td>2.26425</td>\n",
|
||
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|
||
" <tr>\n",
|
||
" <th>9</th>\n",
|
||
" <td>Australia</td>\n",
|
||
" <td>Australia and New Zealand</td>\n",
|
||
" <td>10</td>\n",
|
||
" <td>7.284</td>\n",
|
||
" <td>0.04083</td>\n",
|
||
" <td>1.33358</td>\n",
|
||
" <td>1.30923</td>\n",
|
||
" <td>0.93156</td>\n",
|
||
" <td>0.65124</td>\n",
|
||
" <td>0.35637</td>\n",
|
||
" <td>0.43562</td>\n",
|
||
" <td>2.26646</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Country Region ... Generosity Dystopia Residual\n",
|
||
"8 New Zealand Australia and New Zealand ... 0.47501 2.26425\n",
|
||
"9 Australia Australia and New Zealand ... 0.43562 2.26646\n",
|
||
"\n",
|
||
"[2 rows x 12 columns]"
|
||
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|
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|
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|
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|
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|
||
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|
||
"\n",
|
||
"Middle East and Northern Africa\n",
|
||
"\n"
|
||
],
|
||
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|
||
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <tr>\n",
|
||
" <th>10</th>\n",
|
||
" <td>Israel</td>\n",
|
||
" <td>Middle East and Northern Africa</td>\n",
|
||
" <td>11</td>\n",
|
||
" <td>7.278</td>\n",
|
||
" <td>0.03470</td>\n",
|
||
" <td>1.22857</td>\n",
|
||
" <td>1.22393</td>\n",
|
||
" <td>0.91387</td>\n",
|
||
" <td>0.41319</td>\n",
|
||
" <td>0.07785</td>\n",
|
||
" <td>0.33172</td>\n",
|
||
" <td>3.08854</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>155</th>\n",
|
||
" <td>Syria</td>\n",
|
||
" <td>Middle East and Northern Africa</td>\n",
|
||
" <td>156</td>\n",
|
||
" <td>3.006</td>\n",
|
||
" <td>0.05015</td>\n",
|
||
" <td>0.66320</td>\n",
|
||
" <td>0.47489</td>\n",
|
||
" <td>0.72193</td>\n",
|
||
" <td>0.15684</td>\n",
|
||
" <td>0.18906</td>\n",
|
||
" <td>0.47179</td>\n",
|
||
" <td>0.32858</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
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|
||
],
|
||
"text/plain": [
|
||
" Country Region ... Generosity Dystopia Residual\n",
|
||
"10 Israel Middle East and Northern Africa ... 0.33172 3.08854\n",
|
||
"155 Syria Middle East and Northern Africa ... 0.47179 0.32858\n",
|
||
"\n",
|
||
"[2 rows x 12 columns]"
|
||
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|
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|
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|
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|
||
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|
||
"Latin America and Caribbean\n",
|
||
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|
||
],
|
||
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|
||
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>11</th>\n",
|
||
" <td>Costa Rica</td>\n",
|
||
" <td>Latin America and Caribbean</td>\n",
|
||
" <td>12</td>\n",
|
||
" <td>7.226</td>\n",
|
||
" <td>0.04454</td>\n",
|
||
" <td>0.95578</td>\n",
|
||
" <td>1.23788</td>\n",
|
||
" <td>0.86027</td>\n",
|
||
" <td>0.63376</td>\n",
|
||
" <td>0.10583</td>\n",
|
||
" <td>0.25497</td>\n",
|
||
" <td>3.17728</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>118</th>\n",
|
||
" <td>Haiti</td>\n",
|
||
" <td>Latin America and Caribbean</td>\n",
|
||
" <td>119</td>\n",
|
||
" <td>4.518</td>\n",
|
||
" <td>0.07331</td>\n",
|
||
" <td>0.26673</td>\n",
|
||
" <td>0.74302</td>\n",
|
||
" <td>0.38847</td>\n",
|
||
" <td>0.24425</td>\n",
|
||
" <td>0.17175</td>\n",
|
||
" <td>0.46187</td>\n",
|
||
" <td>2.24173</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Country Region ... Generosity Dystopia Residual\n",
|
||
"11 Costa Rica Latin America and Caribbean ... 0.25497 3.17728\n",
|
||
"118 Haiti Latin America and Caribbean ... 0.46187 2.24173\n",
|
||
"\n",
|
||
"[2 rows x 12 columns]"
|
||
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|
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|
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|
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|
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|
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|
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|
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|
||
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|
||
"Southeastern Asia\n",
|
||
"\n"
|
||
],
|
||
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|
||
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|
||
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <th>Dystopia Residual</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>23</th>\n",
|
||
" <td>Singapore</td>\n",
|
||
" <td>Southeastern Asia</td>\n",
|
||
" <td>24</td>\n",
|
||
" <td>6.798</td>\n",
|
||
" <td>0.03780</td>\n",
|
||
" <td>1.52186</td>\n",
|
||
" <td>1.02000</td>\n",
|
||
" <td>1.02525</td>\n",
|
||
" <td>0.54252</td>\n",
|
||
" <td>0.49210</td>\n",
|
||
" <td>0.31105</td>\n",
|
||
" <td>1.88501</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>144</th>\n",
|
||
" <td>Cambodia</td>\n",
|
||
" <td>Southeastern Asia</td>\n",
|
||
" <td>145</td>\n",
|
||
" <td>3.819</td>\n",
|
||
" <td>0.05069</td>\n",
|
||
" <td>0.46038</td>\n",
|
||
" <td>0.62736</td>\n",
|
||
" <td>0.61114</td>\n",
|
||
" <td>0.66246</td>\n",
|
||
" <td>0.07247</td>\n",
|
||
" <td>0.40359</td>\n",
|
||
" <td>0.98195</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Country Region ... Generosity Dystopia Residual\n",
|
||
"23 Singapore Southeastern Asia ... 0.31105 1.88501\n",
|
||
"144 Cambodia Southeastern Asia ... 0.40359 0.98195\n",
|
||
"\n",
|
||
"[2 rows x 12 columns]"
|
||
]
|
||
},
|
||
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|
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|
||
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|
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|
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|
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|
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|
||
"\n",
|
||
"Central and Eastern Europe\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
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|
||
" <tr>\n",
|
||
" <th>30</th>\n",
|
||
" <td>Czech Republic</td>\n",
|
||
" <td>Central and Eastern Europe</td>\n",
|
||
" <td>31</td>\n",
|
||
" <td>6.505</td>\n",
|
||
" <td>0.04168</td>\n",
|
||
" <td>1.17898</td>\n",
|
||
" <td>1.20643</td>\n",
|
||
" <td>0.84483</td>\n",
|
||
" <td>0.46364</td>\n",
|
||
" <td>0.02652</td>\n",
|
||
" <td>0.10686</td>\n",
|
||
" <td>2.67782</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>133</th>\n",
|
||
" <td>Bulgaria</td>\n",
|
||
" <td>Central and Eastern Europe</td>\n",
|
||
" <td>134</td>\n",
|
||
" <td>4.218</td>\n",
|
||
" <td>0.04828</td>\n",
|
||
" <td>1.01216</td>\n",
|
||
" <td>1.10614</td>\n",
|
||
" <td>0.76649</td>\n",
|
||
" <td>0.30587</td>\n",
|
||
" <td>0.00872</td>\n",
|
||
" <td>0.11921</td>\n",
|
||
" <td>0.89991</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Country Region ... Generosity Dystopia Residual\n",
|
||
"30 Czech Republic Central and Eastern Europe ... 0.10686 2.67782\n",
|
||
"133 Bulgaria Central and Eastern Europe ... 0.11921 0.89991\n",
|
||
"\n",
|
||
"[2 rows x 12 columns]"
|
||
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|
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|
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|
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|
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|
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|
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|
||
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|
||
"\n",
|
||
"Eastern Asia\n",
|
||
"\n"
|
||
],
|
||
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|
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|
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|
||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>37</th>\n",
|
||
" <td>Taiwan</td>\n",
|
||
" <td>Eastern Asia</td>\n",
|
||
" <td>38</td>\n",
|
||
" <td>6.298</td>\n",
|
||
" <td>0.03868</td>\n",
|
||
" <td>1.29098</td>\n",
|
||
" <td>1.07617</td>\n",
|
||
" <td>0.87530</td>\n",
|
||
" <td>0.39740</td>\n",
|
||
" <td>0.08129</td>\n",
|
||
" <td>0.25376</td>\n",
|
||
" <td>2.32323</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99</th>\n",
|
||
" <td>Mongolia</td>\n",
|
||
" <td>Eastern Asia</td>\n",
|
||
" <td>100</td>\n",
|
||
" <td>4.874</td>\n",
|
||
" <td>0.03313</td>\n",
|
||
" <td>0.82819</td>\n",
|
||
" <td>1.30060</td>\n",
|
||
" <td>0.60268</td>\n",
|
||
" <td>0.43626</td>\n",
|
||
" <td>0.02666</td>\n",
|
||
" <td>0.33230</td>\n",
|
||
" <td>1.34759</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Country Region ... Generosity Dystopia Residual\n",
|
||
"37 Taiwan Eastern Asia ... 0.25376 2.32323\n",
|
||
"99 Mongolia Eastern Asia ... 0.33230 1.34759\n",
|
||
"\n",
|
||
"[2 rows x 12 columns]"
|
||
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|
||
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|
||
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|
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|
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|
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|
||
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|
||
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|
||
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|
||
"\n",
|
||
"Sub-Saharan Africa\n",
|
||
"\n"
|
||
],
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
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|
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|
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|
||
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>70</th>\n",
|
||
" <td>Mauritius</td>\n",
|
||
" <td>Sub-Saharan Africa</td>\n",
|
||
" <td>71</td>\n",
|
||
" <td>5.477</td>\n",
|
||
" <td>0.07197</td>\n",
|
||
" <td>1.00761</td>\n",
|
||
" <td>0.98521</td>\n",
|
||
" <td>0.70950</td>\n",
|
||
" <td>0.56066</td>\n",
|
||
" <td>0.07521</td>\n",
|
||
" <td>0.37744</td>\n",
|
||
" <td>1.76145</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>157</th>\n",
|
||
" <td>Togo</td>\n",
|
||
" <td>Sub-Saharan Africa</td>\n",
|
||
" <td>158</td>\n",
|
||
" <td>2.839</td>\n",
|
||
" <td>0.06727</td>\n",
|
||
" <td>0.20868</td>\n",
|
||
" <td>0.13995</td>\n",
|
||
" <td>0.28443</td>\n",
|
||
" <td>0.36453</td>\n",
|
||
" <td>0.10731</td>\n",
|
||
" <td>0.16681</td>\n",
|
||
" <td>1.56726</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
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|
||
"text/plain": [
|
||
" Country Region ... Generosity Dystopia Residual\n",
|
||
"70 Mauritius Sub-Saharan Africa ... 0.37744 1.76145\n",
|
||
"157 Togo Sub-Saharan Africa ... 0.16681 1.56726\n",
|
||
"\n",
|
||
"[2 rows x 12 columns]"
|
||
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|
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|
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|
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
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|
||
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>78</th>\n",
|
||
" <td>Bhutan</td>\n",
|
||
" <td>Southern Asia</td>\n",
|
||
" <td>79</td>\n",
|
||
" <td>5.253</td>\n",
|
||
" <td>0.03225</td>\n",
|
||
" <td>0.77042</td>\n",
|
||
" <td>1.10395</td>\n",
|
||
" <td>0.57407</td>\n",
|
||
" <td>0.53206</td>\n",
|
||
" <td>0.15445</td>\n",
|
||
" <td>0.47998</td>\n",
|
||
" <td>1.63794</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>152</th>\n",
|
||
" <td>Afghanistan</td>\n",
|
||
" <td>Southern Asia</td>\n",
|
||
" <td>153</td>\n",
|
||
" <td>3.575</td>\n",
|
||
" <td>0.03084</td>\n",
|
||
" <td>0.31982</td>\n",
|
||
" <td>0.30285</td>\n",
|
||
" <td>0.30335</td>\n",
|
||
" <td>0.23414</td>\n",
|
||
" <td>0.09719</td>\n",
|
||
" <td>0.36510</td>\n",
|
||
" <td>1.95210</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Country Region ... Generosity Dystopia Residual\n",
|
||
"78 Bhutan Southern Asia ... 0.47998 1.63794\n",
|
||
"152 Afghanistan Southern Asia ... 0.36510 1.95210\n",
|
||
"\n",
|
||
"[2 rows x 12 columns]"
|
||
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|
||
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|
||
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|
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|
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|
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|
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|
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|
||
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|
||
"In the Year 2016 \n",
|
||
"Western Europe\n",
|
||
"\n"
|
||
],
|
||
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|
||
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|
||
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|
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|
||
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|
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|
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|
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|
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <th>Happiness Rank</th>\n",
|
||
" <th>Happiness Score</th>\n",
|
||
" <th>Lower Confidence Interval</th>\n",
|
||
" <th>Upper Confidence Interval</th>\n",
|
||
" <th>Economy (GDP per Capita)</th>\n",
|
||
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|
||
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|
||
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|
||
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|
||
" <th>Generosity</th>\n",
|
||
" <th>Dystopia Residual</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Denmark</td>\n",
|
||
" <td>Western Europe</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>7.526</td>\n",
|
||
" <td>7.460</td>\n",
|
||
" <td>7.592</td>\n",
|
||
" <td>1.44178</td>\n",
|
||
" <td>1.16374</td>\n",
|
||
" <td>0.79504</td>\n",
|
||
" <td>0.57941</td>\n",
|
||
" <td>0.44453</td>\n",
|
||
" <td>0.36171</td>\n",
|
||
" <td>2.73939</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>98</th>\n",
|
||
" <td>Greece</td>\n",
|
||
" <td>Western Europe</td>\n",
|
||
" <td>99</td>\n",
|
||
" <td>5.033</td>\n",
|
||
" <td>4.935</td>\n",
|
||
" <td>5.131</td>\n",
|
||
" <td>1.24886</td>\n",
|
||
" <td>0.75473</td>\n",
|
||
" <td>0.80029</td>\n",
|
||
" <td>0.05822</td>\n",
|
||
" <td>0.04127</td>\n",
|
||
" <td>0.00000</td>\n",
|
||
" <td>2.12944</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Country Region ... Generosity Dystopia Residual\n",
|
||
"0 Denmark Western Europe ... 0.36171 2.73939\n",
|
||
"98 Greece Western Europe ... 0.00000 2.12944\n",
|
||
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||
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|
||
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|
||
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|
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||
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||
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||
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||
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|
||
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|
||
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||
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|
||
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||
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|
||
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||
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||
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|
||
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|
||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>7.188</td>\n",
|
||
" <td>1.50796</td>\n",
|
||
" <td>1.04782</td>\n",
|
||
" <td>0.7790</td>\n",
|
||
" <td>0.48163</td>\n",
|
||
" <td>0.14868</td>\n",
|
||
" <td>0.41077</td>\n",
|
||
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|
||
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|
||
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|
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|
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|
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|
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|
||
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|
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>7.385</td>\n",
|
||
" <td>1.44443</td>\n",
|
||
" <td>1.10476</td>\n",
|
||
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|
||
" <td>0.56837</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <th>155</th>\n",
|
||
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|
||
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|
||
" <td>156</td>\n",
|
||
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|
||
" <td>2.936</td>\n",
|
||
" <td>3.202</td>\n",
|
||
" <td>0.74719</td>\n",
|
||
" <td>0.14866</td>\n",
|
||
" <td>0.62994</td>\n",
|
||
" <td>0.06912</td>\n",
|
||
" <td>0.17233</td>\n",
|
||
" <td>0.48397</td>\n",
|
||
" <td>0.81789</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
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||
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||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>14</td>\n",
|
||
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|
||
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|
||
" <td>7.175</td>\n",
|
||
" <td>1.06879</td>\n",
|
||
" <td>1.02152</td>\n",
|
||
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|
||
" <td>0.55225</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>136</td>\n",
|
||
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|
||
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|
||
" <td>4.163</td>\n",
|
||
" <td>0.34097</td>\n",
|
||
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|
||
" <td>0.27494</td>\n",
|
||
" <td>0.12072</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
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|
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|
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|
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|
||
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|
||
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|
||
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|
||
],
|
||
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|
||
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|
||
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>21</th>\n",
|
||
" <td>Singapore</td>\n",
|
||
" <td>Southeastern Asia</td>\n",
|
||
" <td>22</td>\n",
|
||
" <td>6.739</td>\n",
|
||
" <td>6.674</td>\n",
|
||
" <td>6.804</td>\n",
|
||
" <td>1.64555</td>\n",
|
||
" <td>0.86758</td>\n",
|
||
" <td>0.94719</td>\n",
|
||
" <td>0.48770</td>\n",
|
||
" <td>0.46987</td>\n",
|
||
" <td>0.32706</td>\n",
|
||
" <td>1.99375</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>139</th>\n",
|
||
" <td>Cambodia</td>\n",
|
||
" <td>Southeastern Asia</td>\n",
|
||
" <td>140</td>\n",
|
||
" <td>3.907</td>\n",
|
||
" <td>3.798</td>\n",
|
||
" <td>4.016</td>\n",
|
||
" <td>0.55604</td>\n",
|
||
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|
||
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|
||
" <td>0.58852</td>\n",
|
||
" <td>0.08092</td>\n",
|
||
" <td>0.40339</td>\n",
|
||
" <td>1.31573</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" Country Region ... Generosity Dystopia Residual\n",
|
||
"21 Singapore Southeastern Asia ... 0.32706 1.99375\n",
|
||
"139 Cambodia Southeastern Asia ... 0.40339 1.31573\n",
|
||
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|
||
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|
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>26</th>\n",
|
||
" <td>Czech Republic</td>\n",
|
||
" <td>Central and Eastern Europe</td>\n",
|
||
" <td>27</td>\n",
|
||
" <td>6.596</td>\n",
|
||
" <td>6.515</td>\n",
|
||
" <td>6.677</td>\n",
|
||
" <td>1.30915</td>\n",
|
||
" <td>1.00793</td>\n",
|
||
" <td>0.76376</td>\n",
|
||
" <td>0.41418</td>\n",
|
||
" <td>0.03986</td>\n",
|
||
" <td>0.09929</td>\n",
|
||
" <td>2.96211</td>\n",
|
||
" </tr>\n",
|
||
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|
||
" <th>128</th>\n",
|
||
" <td>Bulgaria</td>\n",
|
||
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|
||
" <td>129</td>\n",
|
||
" <td>4.217</td>\n",
|
||
" <td>4.104</td>\n",
|
||
" <td>4.330</td>\n",
|
||
" <td>1.11306</td>\n",
|
||
" <td>0.92542</td>\n",
|
||
" <td>0.67806</td>\n",
|
||
" <td>0.21219</td>\n",
|
||
" <td>0.00615</td>\n",
|
||
" <td>0.12793</td>\n",
|
||
" <td>1.15377</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
"128 Bulgaria Central and Eastern Europe ... 0.12793 1.15377\n",
|
||
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|
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|
||
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|
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|
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|
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|
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"Eastern Asia\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
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||
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|
||
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|
||
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|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>34</th>\n",
|
||
" <td>Taiwan</td>\n",
|
||
" <td>Eastern Asia</td>\n",
|
||
" <td>34</td>\n",
|
||
" <td>6.379</td>\n",
|
||
" <td>6.305</td>\n",
|
||
" <td>6.453</td>\n",
|
||
" <td>1.39729</td>\n",
|
||
" <td>0.92624</td>\n",
|
||
" <td>0.79565</td>\n",
|
||
" <td>0.32377</td>\n",
|
||
" <td>0.06630</td>\n",
|
||
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|
||
" <td>2.61523</td>\n",
|
||
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|
||
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|
||
" <th>100</th>\n",
|
||
" <td>Mongolia</td>\n",
|
||
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|
||
" <td>101</td>\n",
|
||
" <td>4.907</td>\n",
|
||
" <td>4.838</td>\n",
|
||
" <td>4.976</td>\n",
|
||
" <td>0.98853</td>\n",
|
||
" <td>1.08983</td>\n",
|
||
" <td>0.55469</td>\n",
|
||
" <td>0.35972</td>\n",
|
||
" <td>0.03285</td>\n",
|
||
" <td>0.34539</td>\n",
|
||
" <td>1.53586</td>\n",
|
||
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|
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|
||
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|
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
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|
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|
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|
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|
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|
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|
||
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|
||
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|
||
"Sub-Saharan Africa\n",
|
||
"\n"
|
||
],
|
||
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|
||
},
|
||
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|
||
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|
||
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>65</th>\n",
|
||
" <td>Mauritius</td>\n",
|
||
" <td>Sub-Saharan Africa</td>\n",
|
||
" <td>66</td>\n",
|
||
" <td>5.648</td>\n",
|
||
" <td>5.507</td>\n",
|
||
" <td>5.789</td>\n",
|
||
" <td>1.14372</td>\n",
|
||
" <td>0.75695</td>\n",
|
||
" <td>0.66189</td>\n",
|
||
" <td>0.46145</td>\n",
|
||
" <td>0.05203</td>\n",
|
||
" <td>0.36951</td>\n",
|
||
" <td>2.20223</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>156</th>\n",
|
||
" <td>Burundi</td>\n",
|
||
" <td>Sub-Saharan Africa</td>\n",
|
||
" <td>157</td>\n",
|
||
" <td>2.905</td>\n",
|
||
" <td>2.732</td>\n",
|
||
" <td>3.078</td>\n",
|
||
" <td>0.06831</td>\n",
|
||
" <td>0.23442</td>\n",
|
||
" <td>0.15747</td>\n",
|
||
" <td>0.04320</td>\n",
|
||
" <td>0.09419</td>\n",
|
||
" <td>0.20290</td>\n",
|
||
" <td>2.10404</td>\n",
|
||
" </tr>\n",
|
||
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|
||
"</table>\n",
|
||
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|
||
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|
||
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|
||
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|
||
"65 Mauritius Sub-Saharan Africa ... 0.36951 2.20223\n",
|
||
"156 Burundi Sub-Saharan Africa ... 0.20290 2.10404\n",
|
||
"\n",
|
||
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|
||
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|
||
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|
||
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|
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|
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|
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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|
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|
||
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>83</th>\n",
|
||
" <td>Bhutan</td>\n",
|
||
" <td>Southern Asia</td>\n",
|
||
" <td>84</td>\n",
|
||
" <td>5.196</td>\n",
|
||
" <td>5.138</td>\n",
|
||
" <td>5.254</td>\n",
|
||
" <td>0.85270</td>\n",
|
||
" <td>0.90836</td>\n",
|
||
" <td>0.49759</td>\n",
|
||
" <td>0.46074</td>\n",
|
||
" <td>0.16160</td>\n",
|
||
" <td>0.48546</td>\n",
|
||
" <td>1.82916</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>153</th>\n",
|
||
" <td>Afghanistan</td>\n",
|
||
" <td>Southern Asia</td>\n",
|
||
" <td>154</td>\n",
|
||
" <td>3.360</td>\n",
|
||
" <td>3.288</td>\n",
|
||
" <td>3.432</td>\n",
|
||
" <td>0.38227</td>\n",
|
||
" <td>0.11037</td>\n",
|
||
" <td>0.17344</td>\n",
|
||
" <td>0.16430</td>\n",
|
||
" <td>0.07112</td>\n",
|
||
" <td>0.31268</td>\n",
|
||
" <td>2.14558</td>\n",
|
||
" </tr>\n",
|
||
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|
||
"</table>\n",
|
||
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|
||
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|
||
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|
||
" Country Region ... Generosity Dystopia Residual\n",
|
||
"83 Bhutan Southern Asia ... 0.48546 1.82916\n",
|
||
"153 Afghanistan Southern Asia ... 0.31268 2.14558\n",
|
||
"\n",
|
||
"[2 rows x 13 columns]"
|
||
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|
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|
||
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|
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|
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|
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|
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|
||
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|
||
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|
||
"In the Year 2017 \n",
|
||
"\n",
|
||
"Western Europe\n",
|
||
"\n"
|
||
],
|
||
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|
||
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|
||
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|
||
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|
||
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Norway</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>7.537</td>\n",
|
||
" <td>7.594445</td>\n",
|
||
" <td>7.479556</td>\n",
|
||
" <td>1.616463</td>\n",
|
||
" <td>1.533524</td>\n",
|
||
" <td>0.796667</td>\n",
|
||
" <td>0.635423</td>\n",
|
||
" <td>0.362012</td>\n",
|
||
" <td>0.315964</td>\n",
|
||
" <td>2.277027</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>88</th>\n",
|
||
" <td>Portugal</td>\n",
|
||
" <td>89</td>\n",
|
||
" <td>5.195</td>\n",
|
||
" <td>5.285042</td>\n",
|
||
" <td>5.104959</td>\n",
|
||
" <td>1.315175</td>\n",
|
||
" <td>1.367043</td>\n",
|
||
" <td>0.795844</td>\n",
|
||
" <td>0.498465</td>\n",
|
||
" <td>0.095103</td>\n",
|
||
" <td>0.015869</td>\n",
|
||
" <td>1.107683</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
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|
||
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|
||
" Country Happiness.Rank ... Trust..Government.Corruption. Dystopia.Residual\n",
|
||
"0 Norway 1 ... 0.315964 2.277027\n",
|
||
"88 Portugal 89 ... 0.015869 1.107683\n",
|
||
"\n",
|
||
"[2 rows x 12 columns]"
|
||
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|
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|
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|
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|
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|
||
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|
||
"North America\n",
|
||
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|
||
],
|
||
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|
||
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|
||
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Country</th>\n",
|
||
" <th>Happiness.Rank</th>\n",
|
||
" <th>Happiness.Score</th>\n",
|
||
" <th>Whisker.high</th>\n",
|
||
" <th>Whisker.low</th>\n",
|
||
" <th>Economy..GDP.per.Capita.</th>\n",
|
||
" <th>Family</th>\n",
|
||
" <th>Health..Life.Expectancy.</th>\n",
|
||
" <th>Freedom</th>\n",
|
||
" <th>Generosity</th>\n",
|
||
" <th>Trust..Government.Corruption.</th>\n",
|
||
" <th>Dystopia.Residual</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>6</th>\n",
|
||
" <td>Canada</td>\n",
|
||
" <td>7</td>\n",
|
||
" <td>7.316</td>\n",
|
||
" <td>7.384403</td>\n",
|
||
" <td>7.247597</td>\n",
|
||
" <td>1.479204</td>\n",
|
||
" <td>1.481349</td>\n",
|
||
" <td>0.834558</td>\n",
|
||
" <td>0.611101</td>\n",
|
||
" <td>0.435540</td>\n",
|
||
" <td>0.287372</td>\n",
|
||
" <td>2.187264</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>13</th>\n",
|
||
" <td>United States</td>\n",
|
||
" <td>14</td>\n",
|
||
" <td>6.993</td>\n",
|
||
" <td>7.074657</td>\n",
|
||
" <td>6.911343</td>\n",
|
||
" <td>1.546259</td>\n",
|
||
" <td>1.419921</td>\n",
|
||
" <td>0.774287</td>\n",
|
||
" <td>0.505741</td>\n",
|
||
" <td>0.392579</td>\n",
|
||
" <td>0.135639</td>\n",
|
||
" <td>2.218113</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Country ... Dystopia.Residual\n",
|
||
"6 Canada ... 2.187264\n",
|
||
"13 United States ... 2.218113\n",
|
||
"\n",
|
||
"[2 rows x 12 columns]"
|
||
]
|
||
},
|
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|
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|
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|
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|
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|
||
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|
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"text": [
|
||
"\n",
|
||
"Australia and New Zealand\n",
|
||
"\n"
|
||
],
|
||
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|
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <tr>\n",
|
||
" <th>7</th>\n",
|
||
" <td>New Zealand</td>\n",
|
||
" <td>8</td>\n",
|
||
" <td>7.314</td>\n",
|
||
" <td>7.379510</td>\n",
|
||
" <td>7.248490</td>\n",
|
||
" <td>1.405706</td>\n",
|
||
" <td>1.548195</td>\n",
|
||
" <td>0.816760</td>\n",
|
||
" <td>0.614062</td>\n",
|
||
" <td>0.500005</td>\n",
|
||
" <td>0.382817</td>\n",
|
||
" <td>2.046456</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>9</th>\n",
|
||
" <td>Australia</td>\n",
|
||
" <td>10</td>\n",
|
||
" <td>7.284</td>\n",
|
||
" <td>7.356651</td>\n",
|
||
" <td>7.211349</td>\n",
|
||
" <td>1.484415</td>\n",
|
||
" <td>1.510042</td>\n",
|
||
" <td>0.843887</td>\n",
|
||
" <td>0.601607</td>\n",
|
||
" <td>0.477699</td>\n",
|
||
" <td>0.301184</td>\n",
|
||
" <td>2.065211</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
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|
||
],
|
||
"text/plain": [
|
||
" Country ... Dystopia.Residual\n",
|
||
"7 New Zealand ... 2.046456\n",
|
||
"9 Australia ... 2.065211\n",
|
||
"\n",
|
||
"[2 rows x 12 columns]"
|
||
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|
||
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|
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|
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|
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|
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|
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|
||
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|
||
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|
||
"\n",
|
||
"Middle East and Northern Africa\n",
|
||
"\n"
|
||
],
|
||
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|
||
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|
||
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>10</th>\n",
|
||
" <td>Israel</td>\n",
|
||
" <td>11</td>\n",
|
||
" <td>7.213</td>\n",
|
||
" <td>7.279853</td>\n",
|
||
" <td>7.146146</td>\n",
|
||
" <td>1.375382</td>\n",
|
||
" <td>1.376290</td>\n",
|
||
" <td>0.838404</td>\n",
|
||
" <td>0.405989</td>\n",
|
||
" <td>0.330083</td>\n",
|
||
" <td>0.085242</td>\n",
|
||
" <td>2.801757</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>151</th>\n",
|
||
" <td>Syria</td>\n",
|
||
" <td>152</td>\n",
|
||
" <td>3.462</td>\n",
|
||
" <td>3.663669</td>\n",
|
||
" <td>3.260331</td>\n",
|
||
" <td>0.777153</td>\n",
|
||
" <td>0.396103</td>\n",
|
||
" <td>0.500533</td>\n",
|
||
" <td>0.081539</td>\n",
|
||
" <td>0.493664</td>\n",
|
||
" <td>0.151347</td>\n",
|
||
" <td>1.061574</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Country Happiness.Rank ... Trust..Government.Corruption. Dystopia.Residual\n",
|
||
"10 Israel 11 ... 0.085242 2.801757\n",
|
||
"151 Syria 152 ... 0.151347 1.061574\n",
|
||
"\n",
|
||
"[2 rows x 12 columns]"
|
||
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|
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|
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|
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|
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|
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|
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|
||
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|
||
"Latin America and Caribbean\n",
|
||
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|
||
],
|
||
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|
||
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|
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <tr>\n",
|
||
" <th>11</th>\n",
|
||
" <td>Costa Rica</td>\n",
|
||
" <td>12</td>\n",
|
||
" <td>7.079</td>\n",
|
||
" <td>7.168112</td>\n",
|
||
" <td>6.989888</td>\n",
|
||
" <td>1.109706</td>\n",
|
||
" <td>1.416404</td>\n",
|
||
" <td>0.759509</td>\n",
|
||
" <td>0.580132</td>\n",
|
||
" <td>0.214613</td>\n",
|
||
" <td>0.100107</td>\n",
|
||
" <td>2.898639</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>144</th>\n",
|
||
" <td>Haiti</td>\n",
|
||
" <td>145</td>\n",
|
||
" <td>3.603</td>\n",
|
||
" <td>3.734715</td>\n",
|
||
" <td>3.471285</td>\n",
|
||
" <td>0.368610</td>\n",
|
||
" <td>0.640450</td>\n",
|
||
" <td>0.277321</td>\n",
|
||
" <td>0.030370</td>\n",
|
||
" <td>0.489204</td>\n",
|
||
" <td>0.099872</td>\n",
|
||
" <td>1.697168</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
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|
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|
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|
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|
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|
||
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|
||
"Southeastern Asia\n",
|
||
"\n"
|
||
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|
||
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|
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|
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|
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|
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|
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|
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|
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|
||
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|
||
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|
||
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||
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||
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|
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|
||
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|
||
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|
||
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||
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|
||
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|
||
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|
||
" <tr>\n",
|
||
" <th>25</th>\n",
|
||
" <td>Singapore</td>\n",
|
||
" <td>26</td>\n",
|
||
" <td>6.572</td>\n",
|
||
" <td>6.636723</td>\n",
|
||
" <td>6.507277</td>\n",
|
||
" <td>1.692278</td>\n",
|
||
" <td>1.353814</td>\n",
|
||
" <td>0.949492</td>\n",
|
||
" <td>0.549841</td>\n",
|
||
" <td>0.345966</td>\n",
|
||
" <td>0.464308</td>\n",
|
||
" <td>1.216362</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>128</th>\n",
|
||
" <td>Cambodia</td>\n",
|
||
" <td>129</td>\n",
|
||
" <td>4.168</td>\n",
|
||
" <td>4.278518</td>\n",
|
||
" <td>4.057483</td>\n",
|
||
" <td>0.601765</td>\n",
|
||
" <td>1.006238</td>\n",
|
||
" <td>0.429783</td>\n",
|
||
" <td>0.633376</td>\n",
|
||
" <td>0.385923</td>\n",
|
||
" <td>0.068106</td>\n",
|
||
" <td>1.042941</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
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|
||
],
|
||
"text/plain": [
|
||
" Country ... Dystopia.Residual\n",
|
||
"25 Singapore ... 1.216362\n",
|
||
"128 Cambodia ... 1.042941\n",
|
||
"\n",
|
||
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|
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|
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|
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|
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|
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|
||
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|
||
"Central and Eastern Europe\n",
|
||
"\n"
|
||
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|
||
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|
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|
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|
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|
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|
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
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|
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|
||
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|
||
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|
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|
||
" <th>Dystopia.Residual</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>22</th>\n",
|
||
" <td>Czech Republic</td>\n",
|
||
" <td>23</td>\n",
|
||
" <td>6.609</td>\n",
|
||
" <td>6.683862</td>\n",
|
||
" <td>6.534138</td>\n",
|
||
" <td>1.352682</td>\n",
|
||
" <td>1.433885</td>\n",
|
||
" <td>0.754444</td>\n",
|
||
" <td>0.490946</td>\n",
|
||
" <td>0.088107</td>\n",
|
||
" <td>0.036873</td>\n",
|
||
" <td>2.451862</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>131</th>\n",
|
||
" <td>Ukraine</td>\n",
|
||
" <td>132</td>\n",
|
||
" <td>4.096</td>\n",
|
||
" <td>4.185410</td>\n",
|
||
" <td>4.006590</td>\n",
|
||
" <td>0.894652</td>\n",
|
||
" <td>1.394538</td>\n",
|
||
" <td>0.575904</td>\n",
|
||
" <td>0.122975</td>\n",
|
||
" <td>0.270061</td>\n",
|
||
" <td>0.023029</td>\n",
|
||
" <td>0.814382</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Country ... Dystopia.Residual\n",
|
||
"22 Czech Republic ... 2.451862\n",
|
||
"131 Ukraine ... 0.814382\n",
|
||
"\n",
|
||
"[2 rows x 12 columns]"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"tags": []
|
||
}
|
||
},
|
||
{
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"Eastern Asia\n",
|
||
"\n"
|
||
],
|
||
"name": "stdout"
|
||
},
|
||
{
|
||
"output_type": "display_data",
|
||
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|
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||
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|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Country</th>\n",
|
||
" <th>Happiness.Rank</th>\n",
|
||
" <th>Happiness.Score</th>\n",
|
||
" <th>Whisker.high</th>\n",
|
||
" <th>Whisker.low</th>\n",
|
||
" <th>Economy..GDP.per.Capita.</th>\n",
|
||
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|
||
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|
||
" <th>Freedom</th>\n",
|
||
" <th>Generosity</th>\n",
|
||
" <th>Trust..Government.Corruption.</th>\n",
|
||
" <th>Dystopia.Residual</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>50</th>\n",
|
||
" <td>Japan</td>\n",
|
||
" <td>51</td>\n",
|
||
" <td>5.920</td>\n",
|
||
" <td>5.990719</td>\n",
|
||
" <td>5.849281</td>\n",
|
||
" <td>1.416915</td>\n",
|
||
" <td>1.436338</td>\n",
|
||
" <td>0.913476</td>\n",
|
||
" <td>0.505626</td>\n",
|
||
" <td>0.120573</td>\n",
|
||
" <td>0.163761</td>\n",
|
||
" <td>1.363224</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99</th>\n",
|
||
" <td>Mongolia</td>\n",
|
||
" <td>100</td>\n",
|
||
" <td>4.955</td>\n",
|
||
" <td>5.021680</td>\n",
|
||
" <td>4.888320</td>\n",
|
||
" <td>1.027236</td>\n",
|
||
" <td>1.493011</td>\n",
|
||
" <td>0.557783</td>\n",
|
||
" <td>0.394144</td>\n",
|
||
" <td>0.338464</td>\n",
|
||
" <td>0.032902</td>\n",
|
||
" <td>1.111292</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Country Happiness.Rank ... Trust..Government.Corruption. Dystopia.Residual\n",
|
||
"50 Japan 51 ... 0.163761 1.363224\n",
|
||
"99 Mongolia 100 ... 0.032902 1.111292\n",
|
||
"\n",
|
||
"[2 rows x 12 columns]"
|
||
]
|
||
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|
||
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|
||
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|
||
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|
||
},
|
||
{
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"Sub-Saharan Africa\n",
|
||
"\n"
|
||
],
|
||
"name": "stdout"
|
||
},
|
||
{
|
||
"output_type": "display_data",
|
||
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|
||
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|
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||
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|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Country</th>\n",
|
||
" <th>Happiness.Rank</th>\n",
|
||
" <th>Happiness.Score</th>\n",
|
||
" <th>Whisker.high</th>\n",
|
||
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|
||
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|
||
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|
||
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|
||
" <th>Freedom</th>\n",
|
||
" <th>Generosity</th>\n",
|
||
" <th>Trust..Government.Corruption.</th>\n",
|
||
" <th>Dystopia.Residual</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>63</th>\n",
|
||
" <td>Mauritius</td>\n",
|
||
" <td>64</td>\n",
|
||
" <td>5.629</td>\n",
|
||
" <td>5.729862</td>\n",
|
||
" <td>5.528138</td>\n",
|
||
" <td>1.189396</td>\n",
|
||
" <td>1.209561</td>\n",
|
||
" <td>0.638007</td>\n",
|
||
" <td>0.491247</td>\n",
|
||
" <td>0.360934</td>\n",
|
||
" <td>0.042182</td>\n",
|
||
" <td>1.697584</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>154</th>\n",
|
||
" <td>Central African Republic</td>\n",
|
||
" <td>155</td>\n",
|
||
" <td>2.693</td>\n",
|
||
" <td>2.864884</td>\n",
|
||
" <td>2.521116</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.000000</td>\n",
|
||
" <td>0.018773</td>\n",
|
||
" <td>0.270842</td>\n",
|
||
" <td>0.280876</td>\n",
|
||
" <td>0.056565</td>\n",
|
||
" <td>2.066005</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Country ... Dystopia.Residual\n",
|
||
"63 Mauritius ... 1.697584\n",
|
||
"154 Central African Republic ... 2.066005\n",
|
||
"\n",
|
||
"[2 rows x 12 columns]"
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
{
|
||
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|
||
"text": [
|
||
"\n",
|
||
"Southern Asia\n",
|
||
"\n"
|
||
],
|
||
"name": "stdout"
|
||
},
|
||
{
|
||
"output_type": "display_data",
|
||
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|
||
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|
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||
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|
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|
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||
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|
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|
||
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>Country</th>\n",
|
||
" <th>Happiness.Rank</th>\n",
|
||
" <th>Happiness.Score</th>\n",
|
||
" <th>Whisker.high</th>\n",
|
||
" <th>Whisker.low</th>\n",
|
||
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|
||
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|
||
" <th>Health..Life.Expectancy.</th>\n",
|
||
" <th>Freedom</th>\n",
|
||
" <th>Generosity</th>\n",
|
||
" <th>Trust..Government.Corruption.</th>\n",
|
||
" <th>Dystopia.Residual</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>79</th>\n",
|
||
" <td>Pakistan</td>\n",
|
||
" <td>80</td>\n",
|
||
" <td>5.269</td>\n",
|
||
" <td>5.359984</td>\n",
|
||
" <td>5.178016</td>\n",
|
||
" <td>0.726884</td>\n",
|
||
" <td>0.672691</td>\n",
|
||
" <td>0.402048</td>\n",
|
||
" <td>0.235215</td>\n",
|
||
" <td>0.315446</td>\n",
|
||
" <td>0.124348</td>\n",
|
||
" <td>2.792489</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>140</th>\n",
|
||
" <td>Afghanistan</td>\n",
|
||
" <td>141</td>\n",
|
||
" <td>3.794</td>\n",
|
||
" <td>3.873661</td>\n",
|
||
" <td>3.714338</td>\n",
|
||
" <td>0.401477</td>\n",
|
||
" <td>0.581543</td>\n",
|
||
" <td>0.180747</td>\n",
|
||
" <td>0.106180</td>\n",
|
||
" <td>0.311871</td>\n",
|
||
" <td>0.061158</td>\n",
|
||
" <td>2.150801</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Country ... Dystopia.Residual\n",
|
||
"79 Pakistan ... 2.792489\n",
|
||
"140 Afghanistan ... 2.150801\n",
|
||
"\n",
|
||
"[2 rows x 12 columns]"
|
||
]
|
||
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|
||
"metadata": {
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "1xTbfYrPD0XC",
|
||
"colab_type": "text"
|
||
},
|
||
"source": [
|
||
"# Question 4\n",
|
||
"\n",
|
||
"**4.Countries that became unhappy between 2015 to 2017** \n",
|
||
"\n",
|
||
"Happiness Score\n",
|
||
"\n",
|
||
"A metric measured in 2015 by asking the sampled people the question: \"How would you rate your happiness on a scale of 0 to 10 where 10 is the happiest.\"\n",
|
||
"\n",
|
||
"As per the Metric, All the countries above 5 are considered to be \"happy\" and all the countries below the score of 5 are considered to be \"unhappy\"."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"id": "4nC62RAOSflj",
|
||
"colab_type": "code",
|
||
"colab": {}
|
||
},
|
||
"source": [
|
||
"def happiness_more_than_score(df,score):\n",
|
||
" \"\"\"Gathers the country names with happiness score greater than specified.\"\"\"\n",
|
||
" \n",
|
||
" if df.equals(df_2015):\n",
|
||
" return df_2015['Country'][df_2015['Happiness Score'] > score]\n",
|
||
" elif df.equals(df_2016):\n",
|
||
" return df_2016['Country'][df_2016['Happiness Score'] > score]\n",
|
||
" elif df.equals(df_2017):\n",
|
||
" return df_2017['Country'][df_2017['Happiness.Score'] > score]"
|
||
],
|
||
"execution_count": 0,
|
||
"outputs": []
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"id": "2hOy7fcHBpPo",
|
||
"colab_type": "code",
|
||
"colab": {}
|
||
},
|
||
"source": [
|
||
""
|
||
],
|
||
"execution_count": 0,
|
||
"outputs": []
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "1da6g3JEFBNz",
|
||
"colab_type": "text"
|
||
},
|
||
"source": [
|
||
"**Answer**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"id": "HlJs38zPEfwS",
|
||
"colab_type": "code",
|
||
"outputId": "073448a3-8891-41ad-bcfa-c8e4124ff325",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 80
|
||
}
|
||
},
|
||
"source": [
|
||
"## Run this cell ##\n",
|
||
"\n",
|
||
"df_happy = happiness_more_than_score(df_2015,5).to_frame()\n",
|
||
"df_unhappy = happiness_less_than_score(df_2017,5).to_frame() #from Question 1\n",
|
||
"\n",
|
||
"display(df_unhappy[df_unhappy['Country'].isin(df_happy['Country'])])\n"
|
||
],
|
||
"execution_count": 10,
|
||
"outputs": [
|
||
{
|
||
"output_type": "display_data",
|
||
"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>Country</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>115</th>\n",
|
||
" <td>Zambia</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Country\n",
|
||
"115 Zambia"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"tags": []
|
||
}
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "Q07fZ_krRAbw",
|
||
"colab_type": "text"
|
||
},
|
||
"source": [
|
||
"# Question 5\n",
|
||
"\n",
|
||
"5. Find the country whose happiness decreased by the most amount\n",
|
||
"\n",
|
||
"**Answer**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "7xgVeGhaDzeh",
|
||
"colab_type": "text"
|
||
},
|
||
"source": [
|
||
""
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"id": "EtqKYWLrBqcu",
|
||
"colab_type": "code",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 80
|
||
},
|
||
"outputId": "e68e404b-d36b-49db-ce1f-75a0777920e9"
|
||
},
|
||
"source": [
|
||
"## Run this cell ##\n",
|
||
"\n",
|
||
"df_before = df_2015[['Country','Happiness Score']]\n",
|
||
"df_after = df_2017[['Country','Happiness.Score']]\n",
|
||
"df_merge = pd.merge(df_before,df_after, on='Country')\n",
|
||
"df_merge['difference'] = df_merge['Happiness.Score'] - df_merge['Happiness Score']\n",
|
||
"display(df_merge[df_merge['difference'] == df_merge['difference'].min()])"
|
||
],
|
||
"execution_count": 11,
|
||
"outputs": [
|
||
{
|
||
"output_type": "display_data",
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
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|
||
"\n",
|
||
" .dataframe 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>Country</th>\n",
|
||
" <th>Happiness Score</th>\n",
|
||
" <th>Happiness.Score</th>\n",
|
||
" <th>difference</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>21</th>\n",
|
||
" <td>Venezuela</td>\n",
|
||
" <td>6.81</td>\n",
|
||
" <td>5.25</td>\n",
|
||
" <td>-1.56</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Country Happiness Score Happiness.Score difference\n",
|
||
"21 Venezuela 6.81 5.25 -1.56"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"tags": []
|
||
}
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "mDHQGyPGL4DQ",
|
||
"colab_type": "text"
|
||
},
|
||
"source": [
|
||
"#Task 2\n",
|
||
"\n",
|
||
"In the same notebook write the script to download UDF101 and\n",
|
||
"bring the training dataset in this format: (Labels can be downloaded\n",
|
||
"from here)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"id": "IFEbl5VURGal",
|
||
"colab_type": "code",
|
||
"outputId": "fa004cf9-4ef5-4d0f-b52f-f20ec76b384b",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 136
|
||
}
|
||
},
|
||
"source": [
|
||
"!pip install pyunpack\n",
|
||
"!pip install patool\n",
|
||
"!pip install clint"
|
||
],
|
||
"execution_count": 12,
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Requirement already satisfied: pyunpack in /usr/local/lib/python3.6/dist-packages (0.2.1)\n",
|
||
"Requirement already satisfied: easyprocess in /usr/local/lib/python3.6/dist-packages (from pyunpack) (0.3)\n",
|
||
"Requirement already satisfied: entrypoint2 in /usr/local/lib/python3.6/dist-packages (from pyunpack) (0.2.1)\n",
|
||
"Requirement already satisfied: argparse in /usr/local/lib/python3.6/dist-packages (from entrypoint2->pyunpack) (1.4.0)\n",
|
||
"Requirement already satisfied: patool in /usr/local/lib/python3.6/dist-packages (1.12)\n",
|
||
"Requirement already satisfied: clint in /usr/local/lib/python3.6/dist-packages (0.5.1)\n",
|
||
"Requirement already satisfied: args in /usr/local/lib/python3.6/dist-packages (from clint) (0.1.0)\n"
|
||
],
|
||
"name": "stdout"
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "y8iOvPEUQpkl",
|
||
"colab_type": "text"
|
||
},
|
||
"source": [
|
||
"Importing and Downloading the files"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"id": "uVWw1hiQB8dT",
|
||
"colab_type": "code",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 115,
|
||
"referenced_widgets": [
|
||
"f24a2c9e820b4249ab63654b9ef56604",
|
||
"e4dc73cf71714fd38dd09fd06a8608c7",
|
||
"652720149f1843cd964a3fae5a32b6d7",
|
||
"a5b643a5d4db43769c04ded49d2ba09e",
|
||
"2859a8220b6340fcba1862b35fbe5b91",
|
||
"cfa563330e4b45cd9a4197bdf9ec6757",
|
||
"838f5f7533314ade8fa3859ef7f46bf1",
|
||
"6a30b268827f42e78da55a27979ddf47",
|
||
"d15b4d02e1d84ce9b218dde279f11c59",
|
||
"446c92b5b92845249477c60af3f63faf",
|
||
"d63d7a10beab42179bcd6b4f5a433a49",
|
||
"771d95358ad64e9c8742e416e61261da",
|
||
"767d69f1b35e4df8bb4e718772c02b20",
|
||
"8741b1c90f514abc950d3cdf4d63b5bf",
|
||
"52f2278bb6f04526a08a75db50680708",
|
||
"15696888463a4d668d7ff7e4f5c93ee3"
|
||
]
|
||
},
|
||
"outputId": "4429783e-b475-4c92-f131-36186ff751f2"
|
||
},
|
||
"source": [
|
||
"import os\n",
|
||
"import requests\n",
|
||
"from tqdm.auto import tqdm\n",
|
||
"from pyunpack import Archive\n",
|
||
"from clint.textui import progress\n",
|
||
"import shutil\n",
|
||
"\n",
|
||
"labels_url = \"https://www.crcv.ucf.edu/data/UCF101/UCF101TrainTestSplits-RecognitionTask.zip\"\n",
|
||
"data_url = \"https://www.crcv.ucf.edu/data/UCF101/UCF101.rar\"\n",
|
||
"\n",
|
||
"\n",
|
||
"os.chdir('/content')\n",
|
||
"\n",
|
||
"# labels file zip download\n",
|
||
"r = requests.get(labels_url, stream=True)\n",
|
||
"file_name = labels_url.split('/')[-1]\n",
|
||
"with tqdm.wrapattr(open(file_name, \"wb\"), \"write\", miniters=1,\n",
|
||
" total=int(r.headers.get('content-length', 0)),\n",
|
||
" desc=file_name) as fout:\n",
|
||
" for chunk in r.iter_content(chunk_size=4096):\n",
|
||
" fout.write(chunk)\n",
|
||
"\n",
|
||
"os.chdir('/content')\n",
|
||
"\n",
|
||
"# data file zip download\n",
|
||
"r = requests.get(data_url, stream=True)\n",
|
||
"file_name = data_url.split('/')[-1]\n",
|
||
"with tqdm.wrapattr(open(file_name, \"wb\"), \"write\", miniters=1,\n",
|
||
" total=int(r.headers.get('content-length', 0)),\n",
|
||
" desc=file_name) as fout:\n",
|
||
" for chunk in r.iter_content(chunk_size=4096):\n",
|
||
" fout.write(chunk)\n",
|
||
"\n",
|
||
" "
|
||
],
|
||
"execution_count": 13,
|
||
"outputs": [
|
||
{
|
||
"output_type": "display_data",
|
||
"data": {
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"model_id": "f24a2c9e820b4249ab63654b9ef56604",
|
||
"version_minor": 0,
|
||
"version_major": 2
|
||
},
|
||
"text/plain": [
|
||
"HBox(children=(FloatProgress(value=0.0, description='UCF101TrainTestSplits-RecognitionTask.zip', max=113943.0,…"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"tags": []
|
||
}
|
||
},
|
||
{
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n"
|
||
],
|
||
"name": "stdout"
|
||
},
|
||
{
|
||
"output_type": "display_data",
|
||
"data": {
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"model_id": "d15b4d02e1d84ce9b218dde279f11c59",
|
||
"version_minor": 0,
|
||
"version_major": 2
|
||
},
|
||
"text/plain": [
|
||
"HBox(children=(FloatProgress(value=0.0, description='UCF101.rar', max=6932971618.0, style=ProgressStyle(descri…"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"tags": []
|
||
}
|
||
},
|
||
{
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n"
|
||
],
|
||
"name": "stdout"
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"id": "I44l5JdWB82u",
|
||
"colab_type": "code",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 34
|
||
},
|
||
"outputId": "98b60e3a-d51f-4873-86f2-249705942754"
|
||
},
|
||
"source": [
|
||
"try:\n",
|
||
" Archive('UCF101.rar').extractall('/content')\n",
|
||
"except Exception:\n",
|
||
" print('The error is due to inconsistency in the rar to patool extractor The contents are safely extracted.')"
|
||
],
|
||
"execution_count": 14,
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"text": [
|
||
"The error is due to inconsistency in the rar to patool extractor The contents are safely extracted.\n"
|
||
],
|
||
"name": "stdout"
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"id": "xEM2TjFNMwpR",
|
||
"colab_type": "code",
|
||
"colab": {}
|
||
},
|
||
"source": [
|
||
"try:\n",
|
||
" Archive('UCF101TrainTestSplits-RecognitionTask.zip').extractall('/content')\n",
|
||
"except Exception:\n",
|
||
" print('The error is due to inconsistency in the rar to patool extractor The contents are safely extracted.')"
|
||
],
|
||
"execution_count": 0,
|
||
"outputs": []
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"metadata": {
|
||
"id": "dapsXkoAMyZ0",
|
||
"colab_type": "code",
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 51
|
||
},
|
||
"outputId": "f879a905-7cd4-452c-a0f7-07b0f8a32e0b"
|
||
},
|
||
"source": [
|
||
"\n",
|
||
"os.chdir('/content/ucfTrainTestlist')\n",
|
||
"ucf_file_list = os.listdir()\n",
|
||
"ucf_temp = ucf_file_list[0:-1]\n",
|
||
"\n",
|
||
"#Finding the names of the actions \n",
|
||
"with open(ucf_file_list[-1],'r') as f:\n",
|
||
" names = []\n",
|
||
" for file in f:\n",
|
||
" res = \"\".join(filter(lambda x: not x.isdigit(), file))\n",
|
||
" names.append(res.strip().replace('\\n',''))\n",
|
||
"#Root directory in content folder of the notebook\n",
|
||
"os.chdir('/content')\n",
|
||
"os.mkdir('ucf101_result')\n",
|
||
"\n",
|
||
"#Creating the subfolders of train and test \n",
|
||
"os.chdir('/content/ucf101_result')\n",
|
||
"for subroot in ucf_temp:\n",
|
||
" subrootname,subrootextension = os.path.splitext(subroot)\n",
|
||
" os.mkdir(subrootname)\n",
|
||
"\n",
|
||
"#Creating names of actions in every train and test folders\n",
|
||
"os.chdir('/content/ucf101_result')\n",
|
||
"for subroot in ucf_temp:\n",
|
||
" subrootname,subrootextension = os.path.splitext(subroot)\n",
|
||
" os.chdir('/content/ucf101_result/'+subrootname)\n",
|
||
" for name in names:\n",
|
||
" os.mkdir(name)\n",
|
||
"\n",
|
||
"print(\"File manipulation started... \")\n",
|
||
"#Loopoing through the videos of UCF-101 to compare with video in the Labels\n",
|
||
"for name in names:\n",
|
||
" os.chdir('/content/UCF-101/' + name)\n",
|
||
" videos = os.listdir()\n",
|
||
" for video in videos: # video in the UCF-101\n",
|
||
" for subroot in ucf_temp:\n",
|
||
" os.chdir('/content/ucfTrainTestlist')\n",
|
||
" subrootname,subrootextension = os.path.splitext(subroot)\n",
|
||
" with open(subroot,'r') as f:\n",
|
||
" for filepath in f:\n",
|
||
" filename = filepath.split('/')[-1].strip()\n",
|
||
" if( filename == video): # Comparison \n",
|
||
" shutil.move('/content/UCF-101/'+name+'/'+video,'/content/ucf101_result/'+subrootname+'/'+name)\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"print(\"File manipulation complete.\")"
|
||
],
|
||
"execution_count": 16,
|
||
"outputs": [
|
||
{
|
||
"output_type": "stream",
|
||
"text": [
|
||
"File manipulation started... \n",
|
||
"File manipulation complete.\n"
|
||
],
|
||
"name": "stdout"
|
||
}
|
||
]
|
||
}
|
||
]
|
||
} |