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santiagobasulto/esg_vs_gdp.ipynb

Created July 21, 2022 09:37
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esg_vs_gdp.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 53,
"id": "3745040e-4403-4397-8f60-43875fc45492",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 112,
"id": "43a10d15-9670-4b87-b0b3-7ebd5a930906",
"metadata": {},
"outputs": [],
"source": [
"from pyod.models.knn import KNN"
]
},
{
"cell_type": "markdown",
"id": "ea9f1219-9247-4cff-b640-3bdc6237da1f",
"metadata": {},
"source": [
"#### ESG Data"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "9982656d-c30f-4560-9708-5c47d222bd63",
"metadata": {},
"outputs": [],
"source": [
"headers_df, esg_df = pd.read_html(\"https://worldeconomics.com/Rankings/ESG-Environment.aspx\", attrs={'class': 'tableData'})"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "f63d1cd3-aff6-48a1-9e93-e06e8e26bb63",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>0</th>\n",
" <th>1</th>\n",
" <th>2</th>\n",
" <th>3</th>\n",
" <th>4</th>\n",
" <th>5</th>\n",
" <th>6</th>\n",
" <th>7</th>\n",
" <th>8</th>\n",
" <th>9</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Country</td>\n",
" <td>GlobalRank</td>\n",
" <td>RegionRank</td>\n",
" <td>EnvironmentIndex</td>\n",
" <td>CarbonEmissions(Total MtCO2e)</td>\n",
" <td>MethaneEmissions(Total MtCO2e)</td>\n",
" <td>CarbonEmissions(Per Cap MtCO2e)</td>\n",
" <td>MethaneEmissions(Per Cap MtCO2e)</td>\n",
" <td>AirQuality(PM2.5)</td>\n",
" <td>WaterAccess(%)</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 0 1 2 3 \\\n",
"0 Country GlobalRank RegionRank EnvironmentIndex \n",
"\n",
" 4 5 \\\n",
"0 CarbonEmissions(Total MtCO2e) MethaneEmissions(Total MtCO2e) \n",
"\n",
" 6 7 \\\n",
"0 CarbonEmissions(Per Cap MtCO2e) MethaneEmissions(Per Cap MtCO2e) \n",
"\n",
" 8 9 \n",
"0 AirQuality(PM2.5) WaterAccess(%) "
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"headers_df"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "24cb66d7-d1a0-4d2a-91a0-f90db6a58733",
"metadata": {},
"outputs": [],
"source": [
"esg_df.columns = headers_df.iloc[0].values"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "c9636d65-c278-4d29-ad4e-6f57ec40c70d",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Country</th>\n",
" <th>GlobalRank</th>\n",
" <th>RegionRank</th>\n",
" <th>EnvironmentIndex</th>\n",
" <th>CarbonEmissions(Total MtCO2e)</th>\n",
" <th>MethaneEmissions(Total MtCO2e)</th>\n",
" <th>CarbonEmissions(Per Cap MtCO2e)</th>\n",
" <th>MethaneEmissions(Per Cap MtCO2e)</th>\n",
" <th>AirQuality(PM2.5)</th>\n",
" <th>WaterAccess(%)</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>China</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>43.2</td>\n",
" <td>101747</td>\n",
" <td>12390</td>\n",
" <td>7.1</td>\n",
" <td>0.9</td>\n",
" <td>46.0</td>\n",
" <td>94.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Russia</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>53.9</td>\n",
" <td>16784</td>\n",
" <td>8530</td>\n",
" <td>11.5</td>\n",
" <td>5.9</td>\n",
" <td>10.0</td>\n",
" <td>97.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>United States</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>58.7</td>\n",
" <td>52847</td>\n",
" <td>6238</td>\n",
" <td>15.9</td>\n",
" <td>1.9</td>\n",
" <td>7.0</td>\n",
" <td>99.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Bahrain</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>61.5</td>\n",
" <td>344</td>\n",
" <td>149</td>\n",
" <td>19.7</td>\n",
" <td>8.5</td>\n",
" <td>63.0</td>\n",
" <td>99.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Turkmenistan</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>65.6</td>\n",
" <td>856</td>\n",
" <td>496</td>\n",
" <td>14.0</td>\n",
" <td>8.1</td>\n",
" <td>18.0</td>\n",
" <td>99.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Country GlobalRank RegionRank EnvironmentIndex \\\n",
"0 China 1 1 43.2 \n",
"1 Russia 2 1 53.9 \n",
"2 United States 3 1 58.7 \n",
"3 Bahrain 4 1 61.5 \n",
"4 Turkmenistan 5 2 65.6 \n",
"\n",
" CarbonEmissions(Total MtCO2e) MethaneEmissions(Total MtCO2e) \\\n",
"0 101747 12390 \n",
"1 16784 8530 \n",
"2 52847 6238 \n",
"3 344 149 \n",
"4 856 496 \n",
"\n",
" CarbonEmissions(Per Cap MtCO2e) MethaneEmissions(Per Cap MtCO2e) \\\n",
"0 7.1 0.9 \n",
"1 11.5 5.9 \n",
"2 15.9 1.9 \n",
"3 19.7 8.5 \n",
"4 14.0 8.1 \n",
"\n",
" AirQuality(PM2.5) WaterAccess(%) \n",
"0 46.0 94.0 \n",
"1 10.0 97.0 \n",
"2 7.0 99.0 \n",
"3 63.0 99.0 \n",
"4 18.0 99.0 "
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"esg_df.head()"
]
},
{
"cell_type": "markdown",
"id": "2be3e805-dc25-49ca-9578-e7dc67b8b3ce",
"metadata": {},
"source": [
"#### GDP"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "dccec60b-a089-4378-87dc-b8c09e688bec",
"metadata": {},
"outputs": [],
"source": [
"gdp_df = pd.read_html(\"https://worldeconomics.com/Indicator-Data/Wealth/GDP-Per-Capita-PPP.aspx\")[0]"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "da308cdb-fe85-4be3-a97a-3d27568ce0ba",
"metadata": {},
"outputs": [],
"source": [
"gdp_df.columns = ['Country', 'GDP PPP']"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "fcd940a0-7c46-4570-b355-766148cb33ee",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Country</th>\n",
" <th>GDP PPP</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Afghanistan</td>\n",
" <td>$1,983</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Albania</td>\n",
" <td>$14,144</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Algeria</td>\n",
" <td>$10,972</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Angola</td>\n",
" <td>$5,957</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Argentina</td>\n",
" <td>$21,590</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>151</th>\n",
" <td>Uzbekistan</td>\n",
" <td>$7,945</td>\n",
" </tr>\n",
" <tr>\n",
" <th>152</th>\n",
" <td>Vietnam</td>\n",
" <td>$8,340</td>\n",
" </tr>\n",
" <tr>\n",
" <th>153</th>\n",
" <td>Yemen, Rep.</td>\n",
" <td>$1,298</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154</th>\n",
" <td>Zambia</td>\n",
" <td>$3,322</td>\n",
" </tr>\n",
" <tr>\n",
" <th>155</th>\n",
" <td>Zimbabwe</td>\n",
" <td>$3,512</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>156 rows × 2 columns</p>\n",
"</div>"
],
"text/plain": [
" Country GDP PPP\n",
"0 Afghanistan $1,983\n",
"1 Albania $14,144\n",
"2 Algeria $10,972\n",
"3 Angola $5,957\n",
"4 Argentina $21,590\n",
".. ... ...\n",
"151 Uzbekistan $7,945\n",
"152 Vietnam $8,340\n",
"153 Yemen, Rep. $1,298\n",
"154 Zambia $3,322\n",
"155 Zimbabwe $3,512\n",
"\n",
"[156 rows x 2 columns]"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gdp_df"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "ae7c5fd2-d87d-4f2b-b0c7-7c6eade59f01",
"metadata": {},
"outputs": [],
"source": [
"gdp_df['GDP PPP'] = pd.to_numeric(gdp_df['GDP PPP'].str.replace(\"[$,]\", \"\", regex=True))"
]
},
{
"cell_type": "markdown",
"id": "0b7e3a36-4a73-422c-8d69-028dbf68f96c",
"metadata": {},
"source": [
"### Merge"
]
},
{
"cell_type": "code",
"execution_count": 110,
"id": "e01e00af-ba65-4384-89df-929324f8bbac",
"metadata": {},
"outputs": [],
"source": [
"df = esg_df.merge(gdp_df, how='inner', left_on='Country', right_on='Country')"
]
},
{
"cell_type": "code",
"execution_count": 111,
"id": "666ab177-6035-461c-b2b3-228bf0525e7b",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Country</th>\n",
" <th>GlobalRank</th>\n",
" <th>RegionRank</th>\n",
" <th>EnvironmentIndex</th>\n",
" <th>CarbonEmissions(Total MtCO2e)</th>\n",
" <th>MethaneEmissions(Total MtCO2e)</th>\n",
" <th>CarbonEmissions(Per Cap MtCO2e)</th>\n",
" <th>MethaneEmissions(Per Cap MtCO2e)</th>\n",
" <th>AirQuality(PM2.5)</th>\n",
" <th>WaterAccess(%)</th>\n",
" <th>GDP PPP</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>China</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>43.2</td>\n",
" <td>101747</td>\n",
" <td>12390</td>\n",
" <td>7.1</td>\n",
" <td>0.9</td>\n",
" <td>46.0</td>\n",
" <td>94.0</td>\n",
" <td>17228</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Russia</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>53.9</td>\n",
" <td>16784</td>\n",
" <td>8530</td>\n",
" <td>11.5</td>\n",
" <td>5.9</td>\n",
" <td>10.0</td>\n",
" <td>97.0</td>\n",
" <td>27810</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>United States</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>58.7</td>\n",
" <td>52847</td>\n",
" <td>6238</td>\n",
" <td>15.9</td>\n",
" <td>1.9</td>\n",
" <td>7.0</td>\n",
" <td>99.0</td>\n",
" <td>63053</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Bahrain</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>61.5</td>\n",
" <td>344</td>\n",
" <td>149</td>\n",
" <td>19.7</td>\n",
" <td>8.5</td>\n",
" <td>63.0</td>\n",
" <td>99.0</td>\n",
" <td>41271</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Turkmenistan</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>65.6</td>\n",
" <td>856</td>\n",
" <td>496</td>\n",
" <td>14.0</td>\n",
" <td>8.1</td>\n",
" <td>18.0</td>\n",
" <td>99.0</td>\n",
" <td>17550</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Country GlobalRank RegionRank EnvironmentIndex \\\n",
"0 China 1 1 43.2 \n",
"1 Russia 2 1 53.9 \n",
"2 United States 3 1 58.7 \n",
"3 Bahrain 4 1 61.5 \n",
"4 Turkmenistan 5 2 65.6 \n",
"\n",
" CarbonEmissions(Total MtCO2e) MethaneEmissions(Total MtCO2e) \\\n",
"0 101747 12390 \n",
"1 16784 8530 \n",
"2 52847 6238 \n",
"3 344 149 \n",
"4 856 496 \n",
"\n",
" CarbonEmissions(Per Cap MtCO2e) MethaneEmissions(Per Cap MtCO2e) \\\n",
"0 7.1 0.9 \n",
"1 11.5 5.9 \n",
"2 15.9 1.9 \n",
"3 19.7 8.5 \n",
"4 14.0 8.1 \n",
"\n",
" AirQuality(PM2.5) WaterAccess(%) GDP PPP \n",
"0 46.0 94.0 17228 \n",
"1 10.0 97.0 27810 \n",
"2 7.0 99.0 63053 \n",
"3 63.0 99.0 41271 \n",
"4 18.0 99.0 17550 "
]
},
"execution_count": 111,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "markdown",
"id": "60997c27-0df1-4167-b995-5427e0b2dd5e",
"metadata": {},
"source": [
"### Analysis"
]
},
{
"cell_type": "code",
"execution_count": 56,
"id": "f60129be-71a0-4157-86f7-eedb5f2da48b",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:xlabel='EnvironmentIndex'>"
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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1k8yuiBjbjvBq4MFSyjHg2Yj4t6a6Jh2/lLIlIt5D9eTzptMcWwPMANZ0/KD+fIzxn6H/AoYj4iLgN4CRFtf9XgdjnGgvpRyPiCNl/L30x+vjAniylHJVm/2ezlyo+59Ky/EjYg7ws1T/5eN8qv0GNIu5BKGuqIPwYeCvgd2llNFTXGUvsDiqf2ED8NvAl7swlb3ARRFxFVRLAhHxc6e4zneB17Q5zr9TrRvPrdeY334a499B9S+jfpNqE/15bY6pAWMAq5WJa8B3n/oqPAT8Fq2XH04opXwf+F3gU/VywnFg0r+YaEe9pns9cE9EPEG1SfhbTnG1R4E3TvZLuCk8TLVD1i5gA9UrgJbj1798uxn4g1LKY1QBflcbpWkAuRuaJCXxDFiSkhjAkpTEAJakJAawJCUxgCUpiQEsSUkMYElK8v9ETTliljk0PwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.boxplot(data=df, x='EnvironmentIndex')"
]
},
{
"cell_type": "code",
"execution_count": 58,
"id": "9d75b616-d5ae-45bc-ae7b-92a322b5fcc8",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:xlabel='GDP PPP'>"
]
},
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.boxplot(data=df, x='GDP PPP')"
]
},
{
"cell_type": "code",
"execution_count": 218,
"id": "55aa8750-d027-434d-8faa-2b2147814352",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'ESG Index vs GDP Per Capita')"
]
},
"execution_count": 218,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1728x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(24, 10))\n",
"\n",
"sns.regplot(data=df, x='EnvironmentIndex', y='GDP PPP', ax=ax)\n",
"ax.set_title(\"ESG Index vs GDP Per Capita\")"
]
},
{
"cell_type": "markdown",
"id": "48a2083c-f126-484e-8906-7d76de1d4a81",
"metadata": {},
"source": [
"---"
]
},
{
"cell_type": "code",
"execution_count": 204,
"id": "8c6bac5e-52b9-4929-ab7c-58551d86dcf7",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"KNN(algorithm='auto', contamination=0.05, leaf_size=30, method='mean',\n",
" metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=15, p=2,\n",
" radius=1.0)"
]
},
"execution_count": 204,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"knn = KNN(contamination=.05, n_neighbors=15, method='mean')\n",
"knn.fit(df[['EnvironmentIndex', 'GDP PPP']])"
]
},
{
"cell_type": "code",
"execution_count": 205,
"id": "1872efc9-201a-448f-a7c3-e2e7c6c8bfcc",
"metadata": {},
"outputs": [
{
"data": {
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" <th>CarbonEmissions(Total MtCO2e)</th>\n",
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" <td>1</td>\n",
" <td>43.2</td>\n",
" <td>101747</td>\n",
" <td>12390</td>\n",
" <td>7.1</td>\n",
" <td>0.9</td>\n",
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" <td>94.0</td>\n",
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" <tr>\n",
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" <td>Russia</td>\n",
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" <td>53.9</td>\n",
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" <td>8530</td>\n",
" <td>11.5</td>\n",
" <td>5.9</td>\n",
" <td>10.0</td>\n",
" <td>97.0</td>\n",
" <td>27810</td>\n",
" <td>0</td>\n",
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" <td>Bahrain</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>61.5</td>\n",
" <td>344</td>\n",
" <td>149</td>\n",
" <td>19.7</td>\n",
" <td>8.5</td>\n",
" <td>63.0</td>\n",
" <td>99.0</td>\n",
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" <td>0</td>\n",
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" <th>4</th>\n",
" <td>Turkmenistan</td>\n",
" <td>5</td>\n",
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" <td>65.6</td>\n",
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" <td>496</td>\n",
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],
"text/plain": [
" Country GlobalRank RegionRank EnvironmentIndex \\\n",
"0 China 1 1 43.2 \n",
"1 Russia 2 1 53.9 \n",
"2 United States 3 1 58.7 \n",
"3 Bahrain 4 1 61.5 \n",
"4 Turkmenistan 5 2 65.6 \n",
"\n",
" CarbonEmissions(Total MtCO2e) MethaneEmissions(Total MtCO2e) \\\n",
"0 101747 12390 \n",
"1 16784 8530 \n",
"2 52847 6238 \n",
"3 344 149 \n",
"4 856 496 \n",
"\n",
" CarbonEmissions(Per Cap MtCO2e) MethaneEmissions(Per Cap MtCO2e) \\\n",
"0 7.1 0.9 \n",
"1 11.5 5.9 \n",
"2 15.9 1.9 \n",
"3 19.7 8.5 \n",
"4 14.0 8.1 \n",
"\n",
" AirQuality(PM2.5) WaterAccess(%) GDP PPP KNN_score Outlier \n",
"0 46.0 94.0 17228 0 False \n",
"1 10.0 97.0 27810 0 False \n",
"2 7.0 99.0 63053 1 True \n",
"3 63.0 99.0 41271 0 False \n",
"4 18.0 99.0 17550 0 False "
]
},
"execution_count": 205,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 206,
"id": "ef7b511d-5130-406b-86c7-267e21facc7e",
"metadata": {},
"outputs": [],
"source": [
"df['KNN_score'] = knn.labels_"
]
},
{
"cell_type": "code",
"execution_count": 207,
"id": "e3b2d43d-56a3-40fc-807b-909d5aeb10d7",
"metadata": {},
"outputs": [],
"source": [
"df['Outlier'] = df['KNN_score'] == 1"
]
},
{
"cell_type": "code",
"execution_count": 212,
"id": "2fb75d2c-bbe7-44ce-8532-0309cde4592b",
"metadata": {},
"outputs": [],
"source": [
"outlier_countries = set(df.loc[df['Outlier'], 'Country'].values) | set(df.loc[df['EnvironmentIndex'] <= 75, 'Country'].values)"
]
},
{
"cell_type": "code",
"execution_count": 213,
"id": "20d9b46b-3f56-4bc8-8cf8-ba164dd9f0b8",
"metadata": {},
"outputs": [
{
"data": {
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" <td>149</td>\n",
" <td>19.7</td>\n",
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],
"text/plain": [
" Country GlobalRank RegionRank EnvironmentIndex \\\n",
"0 China 1 1 43.2 \n",
"1 Russia 2 1 53.9 \n",
"2 United States 3 1 58.7 \n",
"3 Bahrain 4 1 61.5 \n",
"4 Turkmenistan 5 2 65.6 \n",
"\n",
" CarbonEmissions(Total MtCO2e) MethaneEmissions(Total MtCO2e) \\\n",
"0 101747 12390 \n",
"1 16784 8530 \n",
"2 52847 6238 \n",
"3 344 149 \n",
"4 856 496 \n",
"\n",
" CarbonEmissions(Per Cap MtCO2e) MethaneEmissions(Per Cap MtCO2e) \\\n",
"0 7.1 0.9 \n",
"1 11.5 5.9 \n",
"2 15.9 1.9 \n",
"3 19.7 8.5 \n",
"4 14.0 8.1 \n",
"\n",
" AirQuality(PM2.5) WaterAccess(%) GDP PPP KNN_score Outlier \n",
"0 46.0 94.0 17228 0 False \n",
"1 10.0 97.0 27810 0 False \n",
"2 7.0 99.0 63053 1 True \n",
"3 63.0 99.0 41271 0 False \n",
"4 18.0 99.0 17550 0 False "
]
},
"execution_count": 213,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.sort_values(by='EnvironmentIndex').head()"
]
},
{
"cell_type": "code",
"execution_count": 220,
"id": "d66bf119-9018-4400-a66d-ab7b3bc3f2e4",
"metadata": {},
"outputs": [
{
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\n",
"text/plain": [
"<Figure size 1728x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(24, 10))\n",
"sns.scatterplot(data=df, x='EnvironmentIndex', y='GDP PPP', hue='Outlier')\n",
"countries = df.loc[df['Country'].isin(outlier_countries)]\n",
"for idx, country in countries.iterrows():\n",
" ax.text(country['EnvironmentIndex'] + .5, country['GDP PPP']+50, country['Country'])"
]
},
{
"cell_type": "markdown",
"id": "bbbddb3e-e850-43d2-8a20-630e3d78ff1c",
"metadata": {},
"source": [
"### All in one image"
]
},
{
"cell_type": "code",
"execution_count": 226,
"id": "44470c8f-4d9a-47d8-9030-0a4eb2adf259",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1728x1008 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(24, 14))\n",
"\n",
"# Regplot\n",
"sns.regplot(data=df, x='EnvironmentIndex', y='GDP PPP', ax=ax1)\n",
"ax1.set_title(\"ESG Index vs GDP Per Capita\")\n",
"\n",
"# Scatterplot\n",
"sns.scatterplot(data=df, x='EnvironmentIndex', y='GDP PPP', hue='Outlier', ax=ax2)\n",
"countries = df.loc[df['Country'].isin(outlier_countries)]\n",
"for idx, country in countries.iterrows():\n",
" ax2.text(country['EnvironmentIndex'] + .5, country['GDP PPP']+50, country['Country'])"
]
},
{
"cell_type": "code",
"execution_count": 230,
"id": "11f6b634-4012-4a19-b854-555f9b5b0849",
"metadata": {},
"outputs": [],
"source": [
"fig.patch.set_facecolor('white')\n",
"fig.tight_layout()\n",
"fig.savefig('esg_vs_gdp.png')"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.0"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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