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October 2, 2023 01:00
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Plots the costs of disasters over time using data from https://ourworldindata.org/grapher/damage-costs-from-natural-disasters.
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"id": "de20d614", | |
"metadata": {}, | |
"source": [ | |
"# Plots the cost of disasters over time\n", | |
"\n", | |
"Data from https://ourworldindata.org/grapher/damage-costs-from-natural-disasters" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 44, | |
"id": "56e39c11", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import pandas as pd\n", | |
"import matplotlib.pyplot as plt\n", | |
"import numpy as np\n", | |
"from scipy.stats import linregress, t" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"id": "087e200b", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# Download from https://ourworldindata.org/grapher/damage-costs-from-natural-disasters\n", | |
"df = pd.read_csv(\"damage-costs-from-natural-disasters.csv\")" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 36, | |
"id": "4ecefff7", | |
"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>Entity</th>\n", | |
" <th>Code</th>\n", | |
" <th>Year</th>\n", | |
" <th>Total economic damage from natural disasters</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>0</th>\n", | |
" <td>All disasters</td>\n", | |
" <td>NaN</td>\n", | |
" <td>1980</td>\n", | |
" <td>32768708000</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1</th>\n", | |
" <td>All disasters</td>\n", | |
" <td>NaN</td>\n", | |
" <td>1981</td>\n", | |
" <td>13778791000</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2</th>\n", | |
" <td>All disasters</td>\n", | |
" <td>NaN</td>\n", | |
" <td>1982</td>\n", | |
" <td>8501393000</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>3</th>\n", | |
" <td>All disasters</td>\n", | |
" <td>NaN</td>\n", | |
" <td>1983</td>\n", | |
" <td>16727038000</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>4</th>\n", | |
" <td>All disasters</td>\n", | |
" <td>NaN</td>\n", | |
" <td>1984</td>\n", | |
" <td>9356342000</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" Entity Code Year Total economic damage from natural disasters\n", | |
"0 All disasters NaN 1980 32768708000\n", | |
"1 All disasters NaN 1981 13778791000\n", | |
"2 All disasters NaN 1982 8501393000\n", | |
"3 All disasters NaN 1983 16727038000\n", | |
"4 All disasters NaN 1984 9356342000" | |
] | |
}, | |
"execution_count": 36, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"df.head()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 35, | |
"id": "8ed53313", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"year = df[df[\"Entity\"] == \"All disasters\"][\"Year\"].values\n", | |
"cost = df[df[\"Entity\"] == \"All disasters\"][\"Total economic damage from natural disasters\"].values\n", | |
"\n", | |
"year = np.array(year)\n", | |
"cost = np.array(cost)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 49, | |
"id": "47d733f6", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"cost = cost / 1e9" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 50, | |
"id": "1b37f3ad", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"slope, intercept, r_value, p_value, std_err = linregress(year, cost)\n", | |
"r2 = r_value ** 2" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 79, | |
"id": "fdcbbcb4", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"0.47536458352803407" | |
] | |
}, | |
"execution_count": 79, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"r2" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 64, | |
"id": "6c40aaba", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"2.2694351705357522e-07" | |
] | |
}, | |
"execution_count": 64, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"p_value" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 80, | |
"id": "c629d754", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"y_pred = slope * year + intercept\n", | |
"residuals = cost - y_pred\n", | |
"s_residuals = np.std(residuals)\n", | |
"\n", | |
"# 95% confidence interval bounds\n", | |
"alpha = 0.05 # for 95% confidence\n", | |
"dof = len(year) - 2\n", | |
"t_val = t.ppf(1 - alpha/2, dof)\n", | |
"margin_error = t_val * s_residuals * np.sqrt(1/len(year) + (year - np.mean(year))**2 / np.sum((year - np.mean(year))**2))\n", | |
"\n", | |
"lower_bound = y_pred - margin_error\n", | |
"upper_bound = y_pred + margin_error" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 81, | |
"id": "34f6552c", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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", | |
"text/plain": [ | |
"<Figure size 800x600 with 1 Axes>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"fig = plt.figure(figsize=(8,6))\n", | |
"ax = plt.gca()\n", | |
"plt.scatter(year, cost)\n", | |
"plt.plot(year, y_pred, color='red', label='Regression Line')\n", | |
"plt.fill_between(year, lower_bound, upper_bound, color='grey', alpha=0.2, label='95% CI')\n", | |
"plt.ylabel(\"Economic cost\\n(billions, 2022 USD)\", fontsize=16)\n", | |
"plt.yticks(fontsize=14)\n", | |
"plt.xticks(fontsize=15)\n", | |
"ax.spines[\"right\"].set_visible(False)\n", | |
"ax.spines[\"top\"].set_visible(False)\n", | |
"plt.ylim([0,358])\n", | |
"plt.xlim([1980,2024])\n", | |
"plt.text(1982, 325, f\"R2 = {r2:0.2f} (p={p_value:0.4f})\", fontsize=18)\n", | |
"plt.text(1982, 305, \"Source: ourworldindata.org\", fontsize=12, color=\"grey\")\n", | |
"\n", | |
"fig.autofmt_xdate()\n", | |
"plt.show()\n", | |
"plt.close()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "9c09579a", | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3 (ipykernel)", | |
"language": "python", | |
"name": "python3" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.10.10" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 5 | |
} |
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