├── README.md └── CO2 AND Temperature.ipynb /README.md: -------------------------------------------------------------------------------- 1 | # Climate-Change-Impact-Analysis 2 | Climate Change Impact Analysis is a Python-based application designed to explore and analyze datasets related to temperature, precipitation, and sea level rise. 3 | -------------------------------------------------------------------------------- /CO2 AND Temperature.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "nbformat": 4, 3 | "nbformat_minor": 0, 4 | "metadata": { 5 | "colab": { 6 | "provenance": [], 7 | "authorship_tag": "ABX9TyNknWOhICYLcOK/Ph2fJkU8", 8 | "include_colab_link": true 9 | }, 10 | "kernelspec": { 11 | "name": "python3", 12 | "display_name": "Python 3" 13 | }, 14 | "language_info": { 15 | "name": "python" 16 | } 17 | }, 18 | "cells": [ 19 | { 20 | "cell_type": "markdown", 21 | "metadata": { 22 | "id": "view-in-github", 23 | "colab_type": "text" 24 | }, 25 | "source": [ 26 | "\"Open" 27 | ] 28 | }, 29 | { 30 | "cell_type": "code", 31 | "execution_count": 1, 32 | "metadata": { 33 | "colab": { 34 | "base_uri": "https://localhost:8080/", 35 | "height": 1000 36 | }, 37 | "id": "m04ex1HitdRl", 38 | "outputId": "c4f52a24-4467-4c02-dd4b-22dfcea629cb" 39 | }, 40 | "outputs": [ 41 | { 42 | "output_type": "stream", 43 | "name": "stdout", 44 | "text": [ 45 | "Dataset Preview:\n", 46 | " Year CO2_Emissions Avg_Temperature\n", 47 | "0 2000 24.5 14.5\n", 48 | "1 2001 25.1 14.6\n", 49 | "2 2002 25.8 14.7\n", 50 | "3 2003 26.5 14.7\n", 51 | "4 2004 27.3 14.8\n", 52 | "\n", 53 | "Statistical Summary:\n", 54 | " Year CO2_Emissions Avg_Temperature\n", 55 | "count 23.00000 23.000000 23.000000\n", 56 | "mean 2011.00000 36.100000 15.630435\n", 57 | "std 6.78233 8.654531 0.810407\n", 58 | "min 2000.00000 24.500000 14.500000\n", 59 | "25% 2005.50000 28.650000 14.950000\n", 60 | "50% 2011.00000 34.900000 15.500000\n", 61 | "75% 2016.50000 42.800000 16.250000\n", 62 | "max 2022.00000 52.000000 17.100000\n" 63 | ] 64 | }, 65 | { 66 | "output_type": "display_data", 67 | "data": { 68 | "text/plain": [ 69 | "
" 70 | ], 71 | "image/png": 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\n" 72 | }, 73 | "metadata": {} 74 | }, 75 | { 76 | "output_type": "stream", 77 | "name": "stdout", 78 | "text": [ 79 | "Root Mean Squared Error (RMSE): 0.04\n" 80 | ] 81 | }, 82 | { 83 | "output_type": "display_data", 84 | "data": { 85 | "text/plain": [ 86 | "
" 87 | ], 88 | "image/png": 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\n" 89 | }, 90 | "metadata": {} 91 | }, 92 | { 93 | "output_type": "stream", 94 | "name": "stdout", 95 | "text": [ 96 | "Predicted Avg Temperature for CO2 Emissions of 55 Gt: 17.40 °C\n", 97 | "Predicted Avg Temperature for CO2 Emissions of 60 Gt: 17.87 °C\n", 98 | "Predicted Avg Temperature for CO2 Emissions of 65 Gt: 18.34 °C\n", 99 | "\n", 100 | "This analysis demonstrates how CO2 emissions correlate with average temperature changes and predicts potential future impacts. Replace the dataset with real data for practical insights.\n" 101 | ] 102 | } 103 | ], 104 | "source": [ 105 | "import pandas as pd\n", 106 | "import numpy as np\n", 107 | "import matplotlib.pyplot as plt\n", 108 | "from sklearn.linear_model import LinearRegression\n", 109 | "from sklearn.metrics import mean_squared_error\n", 110 | "from sklearn.model_selection import train_test_split\n", 111 | "\n", 112 | "# Step 1: Load the Dataset\n", 113 | "# Example: Simulated dataset with CO2 emissions and average temperature\n", 114 | "# Replace this with actual data for real-world applications\n", 115 | "data = {\n", 116 | " \"Year\": np.arange(2000, 2023),\n", 117 | " \"CO2_Emissions\": [24.5, 25.1, 25.8, 26.5, 27.3, 28.2, 29.1, 30.1, 31.2, 32.4, 33.6, 34.9, 36.2, 37.6, 39.0, 40.5, 42.0, 43.6, 45.2, 46.8, 48.5, 50.2, 52.0],\n", 118 | " \"Avg_Temperature\": [14.5, 14.6, 14.7, 14.7, 14.8, 14.9, 15.0, 15.1, 15.2, 15.3, 15.4, 15.5, 15.6, 15.8, 15.9, 16.0, 16.2, 16.3, 16.5, 16.6, 16.8, 17.0, 17.1]\n", 119 | "}\n", 120 | "\n", 121 | "# Convert to DataFrame\n", 122 | "df = pd.DataFrame(data)\n", 123 | "\n", 124 | "# Step 2: Data Exploration\n", 125 | "print(\"Dataset Preview:\")\n", 126 | "print(df.head())\n", 127 | "print(\"\\nStatistical Summary:\")\n", 128 | "print(df.describe())\n", 129 | "\n", 130 | "# Step 3: Data Visualization\n", 131 | "plt.figure(figsize=(10, 6))\n", 132 | "plt.plot(df['Year'], df['CO2_Emissions'], label=\"CO2 Emissions\", marker='o')\n", 133 | "plt.plot(df['Year'], df['Avg_Temperature'], label=\"Avg Temperature\", marker='s')\n", 134 | "plt.title(\"CO2 Emissions and Average Temperature Over Time\")\n", 135 | "plt.xlabel(\"Year\")\n", 136 | "plt.ylabel(\"Value\")\n", 137 | "plt.legend()\n", 138 | "plt.grid(True)\n", 139 | "plt.show()\n", 140 | "\n", 141 | "# Step 4: Prepare Data for Regression Analysis\n", 142 | "X = df['CO2_Emissions'].values.reshape(-1, 1) # CO2 Emissions as predictor\n", 143 | "y = df['Avg_Temperature'].values # Avg Temperature as target\n", 144 | "\n", 145 | "# Split the data into training and testing sets\n", 146 | "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", 147 | "\n", 148 | "# Step 5: Train a Linear Regression Model\n", 149 | "model = LinearRegression()\n", 150 | "model.fit(X_train, y_train)\n", 151 | "\n", 152 | "# Step 6: Evaluate the Model\n", 153 | "predictions = model.predict(X_test)\n", 154 | "rmse = np.sqrt(mean_squared_error(y_test, predictions))\n", 155 | "print(f\"Root Mean Squared Error (RMSE): {rmse:.2f}\")\n", 156 | "\n", 157 | "# Step 7: Plot Regression Line\n", 158 | "plt.figure(figsize=(10, 6))\n", 159 | "plt.scatter(df['CO2_Emissions'], df['Avg_Temperature'], color='blue', label=\"Data Points\")\n", 160 | "plt.plot(df['CO2_Emissions'], model.predict(X), color='red', label=\"Regression Line\")\n", 161 | "plt.title(\"Linear Regression: CO2 Emissions vs. Avg Temperature\")\n", 162 | "plt.xlabel(\"CO2 Emissions\")\n", 163 | "plt.ylabel(\"Avg Temperature\")\n", 164 | "plt.legend()\n", 165 | "plt.grid(True)\n", 166 | "plt.show()\n", 167 | "\n", 168 | "# Step 8: Prediction Example\n", 169 | "future_emissions = np.array([55, 60, 65]).reshape(-1, 1) # Hypothetical future CO2 emissions\n", 170 | "future_temperatures = model.predict(future_emissions)\n", 171 | "for co2, temp in zip(future_emissions.flatten(), future_temperatures):\n", 172 | " print(f\"Predicted Avg Temperature for CO2 Emissions of {co2} Gt: {temp:.2f} °C\")\n", 173 | "\n", 174 | "# Conclusion\n", 175 | "print(\"\\nThis analysis demonstrates how CO2 emissions correlate with average temperature changes and predicts potential future impacts. Replace the dataset with real data for practical insights.\")\n" 176 | ] 177 | } 178 | ] 179 | } --------------------------------------------------------------------------------