GLOBAL DATA SET WORK.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "HbXn25WSMcmq"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn.linear_model import LinearRegression\n",
        "import matplotlib.pyplot as plt"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data = pd.read_csv('/content/global_co2.csv')\n",
        "print(data.head())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BJ2bDWtnOTDX",
        "outputId": "d0ba32a3-c9b7-4c60-e9f5-7a3633d14102"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "   Year  Total  Gas Fuel  Liquid Fuel  Solid Fuel  Cement  Gas Flaring  \\\n",
            "0  1751      3         0            0           3       0            0   \n",
            "1  1752      3         0            0           3       0            0   \n",
            "2  1753      3         0            0           3       0            0   \n",
            "3  1754      3         0            0           3       0            0   \n",
            "4  1755      3         0            0           3       0            0   \n",
            "\n",
            "   Per Capita  \n",
            "0         NaN  \n",
            "1         NaN  \n",
            "2         NaN  \n",
            "3         NaN  \n",
            "4         NaN  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 6))\n",
        "plt.plot(data['Year'], marker='1', label='Historical Data')\n",
        "plt.title('CO2 Production per Capita (1970-2010)')\n",
        "plt.xlabel('Year')\n",
        "plt.ylabel('CO2 per Capita')\n",
        "plt.grid()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "tCTPdubhOXDT",
        "outputId": "009cbefd-2e5b-45ca-9af6-f6a2c8a1146f"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X = data[['Year']]\n",
        "y = data['Gas Flaring']"
      ],
      "metadata": {
        "id": "UBRvwnFCOY2x"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model = LinearRegression()\n",
        "model.fit(X, y)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "id": "e-bAoG9tOZVu",
        "outputId": "23bb059f-0ad4-4de8-ef9f-6c8665e32593"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LinearRegression()"
            ],
            "text/html": [
              "<style>#sk-container-id-1 {color: black;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "future_years = np.array([[2011], [2012], [2013]])\n",
        "predictions = model.predict(future_years)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CYB-P2JhObqu",
        "outputId": "e07f622f-f607-4ae7-c97e-21cc8450e969"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/base.py:465: UserWarning: X does not have valid feature names, but LinearRegression was fitted with feature names\n",
            "  warnings.warn(\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for year, prediction in zip(future_years.flatten(), predictions):\n",
        "    print(f\"Predicted CO2 production per capita for {year}: {prediction:.2f}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rLxCVb4QOicR",
        "outputId": "1f8d7b1e-f0bd-4eba-a02a-90329edb0ba1"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicted CO2 production per capita for 2011: 43.39\n",
            "Predicted CO2 production per capita for 2012: 43.63\n",
            "Predicted CO2 production per capita for 2013: 43.86\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 6))\n",
        "plt.plot(data['Year'], marker='o', label='Historical Data')\n",
        "plt.plot(future_years, predictions, 'ro', label='Predictions')\n",
        "plt.title('CO2 Production per Capita with Predictions')\n",
        "plt.xlabel('Year')\n",
        "plt.ylabel('CO2 per Capita')\n",
        "plt.legend()\n",
        "plt.grid()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "psplEy7UOl27",
        "outputId": "8af7475a-9f44-4415-a0af-1972bc59206e"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}