crude_oil_data_collection_and_processing.ipynb

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      "name": "crude_oil_data_collection_and_processing.ipynb"
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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "#Crude Brent Oil Prices Forecasting - Part 1: Data Collection and Processing"
      ],
      "metadata": {
        "id": "8FAxljtuqMXo"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Importing Necessary Packages\n"
      ],
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        "id": "YZSCT7xwmk0L"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 64,
      "metadata": {
        "id": "Avksaikc62Ir"
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      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib as mpl\n",
        "import seaborn as sns\n",
        "import numpy as np\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Reads specific columns (close prices) from multiple sheets of an Excel file and merges them into a single DataFrame on the 'Date' column. Each sheet represnts timeseries for a stock or index (USD Dollar, Gold, Natural Gas ... etc)"
      ],
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      "cell_type": "code",
      "source": [
        "\n",
        "# Define the columns you want to read from each sheet\n",
        "brent_columns = ['Date', 'Close']\n",
        "usd_columns = ['Date', 'Close']\n",
        "sa_energ_columns = ['Date', 'Close']\n",
        "sentiment_columns = ['Date', 'Csum_CrudeBERT_Plus_GT']\n",
        "gold_future_columns = ['Date', 'Close']\n",
        "natural_gas_columns = ['Date', 'Close']\n",
        "\n",
        "# Load the data from the Excel file sheets, specifying only the required columns\n",
        "DATAPATH_Features = 'Features.xlsx'\n",
        "brent = pd.read_excel(open(DATAPATH_Features, 'rb'), sheet_name='Brent', engine='openpyxl', usecols=brent_columns, parse_dates=True)\n",
        "usd = pd.read_excel(open(DATAPATH_Features, 'rb'), sheet_name='USD', engine='openpyxl', usecols=usd_columns, parse_dates=True)\n",
        "TENT = pd.read_excel(open(DATAPATH_Features, 'rb'), sheet_name='SAUDI_ENERG', engine='openpyxl', usecols=sa_energ_columns, parse_dates=True)\n",
        "SENTI = pd.read_excel(open(DATAPATH_Features, 'rb'), sheet_name='Sentiment', engine='openpyxl', usecols=sentiment_columns, parse_dates=True)\n",
        "gold = pd.read_excel(open(DATAPATH_Features, 'rb'), sheet_name='GOLD_Future', engine='openpyxl', usecols=gold_future_columns, parse_dates=True)\n",
        "gas = pd.read_excel(open(DATAPATH_Features, 'rb'), sheet_name='Natural Gas Future', engine='openpyxl', usecols=natural_gas_columns, parse_dates=True)\n",
        "\n",
        "# load all the dataset in one data frame\n",
        "merged_data = brent.merge(usd, on='Date', how='left', suffixes=('', '_usd'))\n",
        "merged_data = merged_data.merge(TENT, on='Date', how='left', suffixes=('', '_tent'))\n",
        "merged_data = merged_data.merge(SENTI, on='Date', how='left', suffixes=('', '_senti'))\n",
        "merged_data = merged_data.merge(gold, on='Date', how='left', suffixes=('', '_gold'))\n",
        "merged_data = merged_data.merge(gas, on='Date', how='left', suffixes=('', '_gas'))\n",
        "\n",
        "print(merged_data.head(3))"
      ],
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      "execution_count": 71,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "        Date  Close  Close_usd  Close_tent  Csum_CrudeBERT_Plus_GT  \\\n",
            "0 2005-01-04  41.04      82.57         NaN                     NaN   \n",
            "1 2005-01-05  40.51      82.54         NaN                     NaN   \n",
            "2 2005-01-06  42.85      83.15         NaN                     NaN   \n",
            "\n",
            "   Close_gold  Close_gas  \n",
            "0       429.2      5.902  \n",
            "1       427.3      5.833  \n",
            "2       421.6      6.049  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Display a concise summary of the merged dataframe, including the number of non-null entries and data types for each column.\n",
        "merged_data.info()"
      ],
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      },
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 4715 entries, 0 to 4714\n",
            "Data columns (total 7 columns):\n",
            " #   Column                  Non-Null Count  Dtype         \n",
            "---  ------                  --------------  -----         \n",
            " 0   Date                    4715 non-null   datetime64[ns]\n",
            " 1   Close                   4715 non-null   float64       \n",
            " 2   Close_usd               4691 non-null   float64       \n",
            " 3   Close_tent              2947 non-null   float64       \n",
            " 4   Csum_CrudeBERT_Plus_GT  2384 non-null   float64       \n",
            " 5   Close_gold              4698 non-null   float64       \n",
            " 6   Close_gas               4663 non-null   float64       \n",
            "dtypes: datetime64[ns](1), float64(6)\n",
            "memory usage: 258.0 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### verify that data has not been changed with the merge operation"
      ],
      "metadata": {
        "id": "uWhOqB1xohf-"
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    },
    {
      "cell_type": "code",
      "source": [
        "# make sure the orginal dates in dataframe have not been chnaged by compare\n",
        "#the date column on data to merged_data\n",
        "# I did it only for brent as example\n",
        "\n",
        "merged_dates__ = pd.DataFrame(merged_data.index.values)\n",
        "print(merged_dates__.tail())\n",
        "orginal_dates= pd.DataFrame(brent.index.values)\n",
        "print(orginal_dates.tail())\n",
        "\n",
        "res1= merged_dates__[0].equals(orginal_dates[0])\n",
        "print(res1)\n",
        "\n"
      ],
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      "execution_count": 73,
      "outputs": [
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          "text": [
            "         0\n",
            "4710  4710\n",
            "4711  4711\n",
            "4712  4712\n",
            "4713  4713\n",
            "4714  4714\n",
            "         0\n",
            "4710  4710\n",
            "4711  4711\n",
            "4712  4712\n",
            "4713  4713\n",
            "4714  4714\n",
            "True\n"
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    },
    {
      "cell_type": "markdown",
      "source": [
        "### We will extract  a specific duration (from 2012-01-0 to 2021-04-01)\n"
      ],
      "metadata": {
        "id": "OwsOFuu-oqzm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "print(SENTI.head(1))\n",
        "print(SENTI.tail(1))\n",
        "\n",
        "# as I have only sentimental score for specific duration (2012-01-0 to 2021-04-01), I need to filter the dataset based on this duration\n",
        "\n",
        "\n",
        "# Define the date range\n",
        "start_date = '2012-01-01'\n",
        "end_date = '2021-04-01'\n",
        "\n",
        "# Convert the Date column to datetime if it is not already\n",
        "merged_data['Date'] = pd.to_datetime(merged_data['Date'])\n",
        "\n",
        "# Filter the dataframe based on the date range\n",
        "filtered_data = merged_data[(merged_data['Date'] >= start_date) & (merged_data['Date'] <= end_date)]\n",
        "\n",
        "# Verify the filtering\n",
        "print(filtered_data.head(1))\n",
        "print(filtered_data.tail(1))\n",
        "\n",
        "# Optional: Display a summary to verify the filtering\n",
        "print(filtered_data.info())"
      ],
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      "execution_count": 74,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "        Date  Csum_CrudeBERT_Plus_GT\n",
            "0 2012-01-01                2.413095\n",
            "           Date  Csum_CrudeBERT_Plus_GT\n",
            "3378 2021-04-01            -7288.124587\n",
            "           Date   Close  Close_usd  Close_tent  Csum_CrudeBERT_Plus_GT  \\\n",
            "1801 2012-01-03  112.13      79.61     6228.69              -34.296692   \n",
            "\n",
            "      Close_gold  Close_gas  \n",
            "1801      1600.5      2.993  \n",
            "           Date  Close  Close_usd  Close_tent  Csum_CrudeBERT_Plus_GT  \\\n",
            "4186 2021-04-01  64.86      92.93     5523.82            -7288.124587   \n",
            "\n",
            "      Close_gold  Close_gas  \n",
            "4186      1728.4      2.639  \n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Index: 2386 entries, 1801 to 4186\n",
            "Data columns (total 7 columns):\n",
            " #   Column                  Non-Null Count  Dtype         \n",
            "---  ------                  --------------  -----         \n",
            " 0   Date                    2386 non-null   datetime64[ns]\n",
            " 1   Close                   2386 non-null   float64       \n",
            " 2   Close_usd               2386 non-null   float64       \n",
            " 3   Close_tent              1783 non-null   float64       \n",
            " 4   Csum_CrudeBERT_Plus_GT  2384 non-null   float64       \n",
            " 5   Close_gold              2386 non-null   float64       \n",
            " 6   Close_gas               2378 non-null   float64       \n",
            "dtypes: datetime64[ns](1), float64(6)\n",
            "memory usage: 149.1 KB\n",
            "None\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Let's drop the first 6 rows\n",
        "filtered_data = filtered_data[6:]\n",
        "filtered_data.info()"
      ],
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      },
      "execution_count": 75,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Index: 2380 entries, 1807 to 4186\n",
            "Data columns (total 7 columns):\n",
            " #   Column                  Non-Null Count  Dtype         \n",
            "---  ------                  --------------  -----         \n",
            " 0   Date                    2380 non-null   datetime64[ns]\n",
            " 1   Close                   2380 non-null   float64       \n",
            " 2   Close_usd               2380 non-null   float64       \n",
            " 3   Close_tent              1779 non-null   float64       \n",
            " 4   Csum_CrudeBERT_Plus_GT  2378 non-null   float64       \n",
            " 5   Close_gold              2380 non-null   float64       \n",
            " 6   Close_gas               2372 non-null   float64       \n",
            "dtypes: datetime64[ns](1), float64(6)\n",
            "memory usage: 148.8 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Check and fill missing values"
      ],
      "metadata": {
        "id": "a34mZeWco_Nr"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# check null values\n",
        "print(filtered_data.isna().sum())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LyzQrTT0JclU",
        "outputId": "81960322-fe9b-4f5c-f0d1-82b93ae346fd"
      },
      "execution_count": 76,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Date                        0\n",
            "Close                       0\n",
            "Close_usd                   0\n",
            "Close_tent                601\n",
            "Csum_CrudeBERT_Plus_GT      2\n",
            "Close_gold                  0\n",
            "Close_gas                   8\n",
            "dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Fill Missing Values\n",
        "\n"
      ],
      "metadata": {
        "id": "0NBY1OwV8TRO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Fill NaN values with linear interpolation\n",
        "filtered_data.interpolate(method='linear', inplace=True)\n",
        "\n",
        "\n",
        "# Forward fill to handle leading NaNs\n",
        "filtered_data.ffill(inplace=True)\n",
        "\n",
        "# Backward fill to handle trailing NaNs\n",
        "filtered_data.bfill(inplace=True)\n",
        "\n",
        "# Verify that NaN values are filled\n",
        "print(filtered_data.isna().sum())  # This will print the count of NaN values in each column, which should be 0 if all NaNs were filled correctly.\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
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        "id": "JEPTvraSFh2V",
        "outputId": "1fe95a32-ec40-487c-ba12-82666f9232c6"
      },
      "execution_count": 77,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Date                      0\n",
            "Close                     0\n",
            "Close_usd                 0\n",
            "Close_tent                0\n",
            "Csum_CrudeBERT_Plus_GT    0\n",
            "Close_gold                0\n",
            "Close_gas                 0\n",
            "dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Crude Oil Price and Volume from 2005 - April 3023"
      ],
      "metadata": {
        "id": "kZRBBIHU_Q-h"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "filtered_data.head(3)"
      ],
      "metadata": {
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          "base_uri": "https://localhost:8080/",
          "height": 144
        },
        "id": "kL9-22R5DTXb",
        "outputId": "376e96f2-cb4a-451a-d361-5ff0a0c46c36"
      },
      "execution_count": 85,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "           Date   Close  Close_usd   Close_tent  Csum_CrudeBERT_Plus_GT  \\\n",
              "1807 2012-01-11  112.24      81.35  6155.590000              -32.191320   \n",
              "1808 2012-01-12  111.26      80.77  6148.413333             -149.519954   \n",
              "1809 2012-01-13  110.44      81.52  6141.236667             -198.907999   \n",
              "\n",
              "      Close_gold  Close_gas  \n",
              "1807      1639.6      2.774  \n",
              "1808      1647.7      2.697  \n",
              "1809      1630.8      2.670  "
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              "      <th>Date</th>\n",
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              "<div id=\"df-3abf00d8-cf29-4d05-a745-d0286965fe75\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-3abf00d8-cf29-4d05-a745-d0286965fe75')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-3abf00d8-cf29-4d05-a745-d0286965fe75 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "filtered_data",
              "summary": "{\n  \"name\": \"filtered_data\",\n  \"rows\": 2380,\n  \"fields\": [\n    {\n      \"column\": \"Date\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2012-01-11 00:00:00\",\n        \"max\": \"2021-04-01 00:00:00\",\n        \"num_unique_values\": 2380,\n        \"samples\": [\n          \"2017-07-04 00:00:00\",\n          \"2020-06-08 00:00:00\",\n          \"2019-10-15 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 26.581542273321276,\n        \"min\": 19.33,\n        \"max\": 126.22,\n        \"num_unique_values\": 1980,\n        \"samples\": [\n          75.33,\n          122.88,\n          109.09\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close_usd\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7.249718089716976,\n        \"min\": 78.27,\n        \"max\": 103.25,\n        \"num_unique_values\": 1274,\n        \"samples\": [\n          80.63,\n          99.15,\n          79.81\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close_tent\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1145.2629193795449,\n        \"min\": 3459.53,\n        \"max\": 9119.82,\n        \"num_unique_values\": 2362,\n        \"samples\": [\n          4768.49,\n          4754.04,\n          4976.68\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Csum_CrudeBERT_Plus_GT\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3229.5830221070532,\n        \"min\": -14033.46606933275,\n        \"max\": -32.19132013581189,\n        \"num_unique_values\": 2380,\n        \"samples\": [\n          -6667.501540250772,\n          -10595.09849214517,\n          -10086.06239302287\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close_gold\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 223.13500131391842,\n        \"min\": 1049.6,\n        \"max\": 2069.4,\n        \"num_unique_values\": 1905,\n        \"samples\": [\n          1311.5,\n          1565.5,\n          1890.4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close_gas\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7380782413048752,\n        \"min\": 1.482,\n        \"max\": 6.149,\n        \"num_unique_values\": 1520,\n        \"samples\": [\n          4.905,\n          2.202,\n          2.426\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 85
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#save your work\n",
        "filtered_data.to_csv(\"data.csv\", encoding='utf-8', index=False)\n"
      ],
      "metadata": {
        "id": "YCQuXR7-jqze"
      },
      "execution_count": 95,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Data Analysis and Exploration"
      ],
      "metadata": {
        "id": "snBqBjhviBZz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Import the final prepared dataset\n",
        "\n",
        "df= pd.read_csv('data.csv')\n"
      ],
      "metadata": {
        "id": "sVg512XCqzgT"
      },
      "execution_count": 80,
      "outputs": []
    },
    {
      "source": [
        "# some plots\n",
        "\n",
        "\n",
        "# Create a figure with subplots arranged in 2 rows and 2 columns\n",
        "fig, axs = plt.subplots(2, 2, figsize=(10, 6))\n",
        "\n",
        "# Plot the first histogram\n",
        "axs[0, 0].hist(df['Close'], bins=20)\n",
        "axs[0, 0].set_title('Brent')\n",
        "axs[0, 0].spines['top'].set_visible(False)\n",
        "axs[0, 0].spines['right'].set_visible(False)\n",
        "\n",
        "\n",
        "# Plot the second  histogram\n",
        "axs[0, 1].hist(df['Csum_CrudeBERT_Plus_GT'], bins=20)\n",
        "axs[0, 1].set_title('SENTI')\n",
        "axs[0, 1].spines['top'].set_visible(False)\n",
        "axs[0, 1].spines['right'].set_visible(False)\n",
        "\n",
        "# Plot the first scatter plot\n",
        "axs[1, 0].scatter(df['Close'], df['Close_usd'], s=32, alpha=0.8)\n",
        "axs[1, 0].set_title('Brent  vs USD')\n",
        "axs[1, 0].set_xlabel('Brent')\n",
        "axs[1, 0].set_ylabel('USD')\n",
        "axs[1, 0].spines['top'].set_visible(False)\n",
        "axs[1, 0].spines['right'].set_visible(False)\n",
        "\n",
        "# Plot the second scatter plot\n",
        "axs[1, 1].scatter(df['Close'], df['Csum_CrudeBERT_Plus_GT'], s=32, alpha=0.8)\n",
        "axs[1, 1].set_title('Brent vs SENTI')\n",
        "axs[1, 1].set_xlabel('Close')\n",
        "axs[1, 1].set_ylabel('SENTI')\n",
        "axs[1, 1].spines['top'].set_visible(False)\n",
        "axs[1, 1].spines['right'].set_visible(False)\n",
        "\n",
        "# Adjust layout to prevent overlap\n",
        "plt.tight_layout()\n",
        "\n",
        "# Show the plot\n",
        "plt.show()\n"
      ],
      "cell_type": "code",
      "execution_count": 96,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "3Xonix3TQLMY",
        "outputId": "2d75fecf-f9a7-4e31-c3d6-cd9a7ae716a6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3sA-irvJrh1q",
        "outputId": "fcc72a9f-c742-48cf-f625-4406fc4cb7ae"
      },
      "execution_count": 97,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 2380 entries, 0 to 2379\n",
            "Data columns (total 7 columns):\n",
            " #   Column                  Non-Null Count  Dtype  \n",
            "---  ------                  --------------  -----  \n",
            " 0   Date                    2380 non-null   object \n",
            " 1   Close                   2380 non-null   float64\n",
            " 2   Close_usd               2380 non-null   float64\n",
            " 3   Close_tent              2380 non-null   float64\n",
            " 4   Csum_CrudeBERT_Plus_GT  2380 non-null   float64\n",
            " 5   Close_gold              2380 non-null   float64\n",
            " 6   Close_gas               2380 non-null   float64\n",
            "dtypes: float64(6), object(1)\n",
            "memory usage: 130.3+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "#Scaling the data\n",
        "from sklearn import preprocessing\n",
        "\n",
        "# Separate the 'Date' column from the rest of the data\n",
        "date_column = df[['Date']]\n",
        "data_columns = df.drop('Date', axis=1)\n",
        "\n",
        "# Initialize the MinMaxScaler\n",
        "scaler = preprocessing.MinMaxScaler()\n",
        "\n",
        "# Fit and transform the data columns\n",
        "scaled_data = scaler.fit_transform(data_columns)\n",
        "\n",
        "# Convert the scaled data back to a dataframe\n",
        "scaled_df = pd.DataFrame(scaled_data, columns=data_columns.columns)\n",
        "\n",
        "# Concatenate the 'Date' column back to the scaled dataframe\n",
        "scaled_df = pd.concat([date_column.reset_index(drop=True), scaled_df], axis=1)\n",
        "\n",
        "# Display the scaled dataframe\n",
        "print(scaled_df.head())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FTMQEs02sCm9",
        "outputId": "34d12896-6e15-4e20-cd95-20197e823315"
      },
      "execution_count": 99,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "         Date     Close  Close_usd  Close_tent  Csum_CrudeBERT_Plus_GT  \\\n",
            "0  2012-01-11  0.869211   0.123299    0.476311                1.000000   \n",
            "1  2012-01-12  0.860043   0.100080    0.475043                0.991620   \n",
            "2  2012-01-13  0.852372   0.130104    0.473775                0.988093   \n",
            "3  2012-01-16  0.859482   0.130104    0.472508                0.979677   \n",
            "4  2012-01-17  0.862569   0.116493    0.454583                0.980018   \n",
            "\n",
            "   Close_gold  Close_gas  \n",
            "0    0.578545   0.276837  \n",
            "1    0.586488   0.260339  \n",
            "2    0.569916   0.254553  \n",
            "3    0.594234   0.235055  \n",
            "4    0.595509   0.215556  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#To decompose the Brent price components into trend, seasonality,\n",
        "#and residuals, you can use the seasonal_decompose function from the statsmodels library.\n",
        "\n",
        "from statsmodels.tsa.seasonal import seasonal_decompose\n",
        "\n",
        "brent = df [['Date', 'Close']]\n",
        "brent.set_index('Date', inplace=True)\n",
        "\n",
        "# Decompose the Brent price data\n",
        "decomposition = seasonal_decompose(brent['Close'], model='additive', period=7)\n",
        "\n",
        "# Extract the components\n",
        "trend = decomposition.trend\n",
        "seasonal = decomposition.seasonal\n",
        "residual = decomposition.resid\n",
        "\n",
        "# Plot the decomposed components\n",
        "plt.figure(figsize=(10, 6))\n",
        "\n",
        "plt.subplot(411)\n",
        "plt.plot(brent['Close'], label='Original', color='blue')\n",
        "plt.legend(loc='upper left')\n",
        "plt.title('Original Brent Price')\n",
        "\n",
        "plt.subplot(412)\n",
        "plt.plot(trend, label='Trend', color='orange')\n",
        "plt.legend(loc='upper left')\n",
        "plt.title('Trend')\n",
        "\n",
        "plt.subplot(413)\n",
        "plt.plot(seasonal, label='Seasonal', color='green')\n",
        "plt.legend(loc='upper left')\n",
        "plt.title('Seasonal')\n",
        "\n",
        "plt.subplot(414)\n",
        "plt.plot(residual, label='Residual', color='red')\n",
        "plt.legend(loc='upper left')\n",
        "plt.title('Residual')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "uHyd4Muy1eME",
        "outputId": "1283c2f6-cdac-4f40-9129-a13cdd392032"
      },
      "execution_count": 104,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.head(3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 144
        },
        "id": "VZtyz8ehdKZi",
        "outputId": "c55c2a4b-07b5-4d86-dc71-19b5155b4fd6"
      },
      "execution_count": 114,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         Date   Close  Close_usd   Close_tent  Csum_CrudeBERT_Plus_GT  \\\n",
              "0  2012-01-11  112.24      81.35  6155.590000              -32.191320   \n",
              "1  2012-01-12  111.26      80.77  6148.413333             -149.519954   \n",
              "2  2012-01-13  110.44      81.52  6141.236667             -198.907999   \n",
              "\n",
              "   Close_gold  Close_gas     SENT1  \n",
              "0      1639.6      2.774  1.000000  \n",
              "1      1647.7      2.697  0.991620  \n",
              "2      1630.8      2.670  0.988093  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6a5f5b61-67c8-448a-9773-3d6b529a49a2\" class=\"colab-df-container\">\n",
              "    <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>Date</th>\n",
              "      <th>Close</th>\n",
              "      <th>Close_usd</th>\n",
              "      <th>Close_tent</th>\n",
              "      <th>Csum_CrudeBERT_Plus_GT</th>\n",
              "      <th>Close_gold</th>\n",
              "      <th>Close_gas</th>\n",
              "      <th>SENT1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2012-01-11</td>\n",
              "      <td>112.24</td>\n",
              "      <td>81.35</td>\n",
              "      <td>6155.590000</td>\n",
              "      <td>-32.191320</td>\n",
              "      <td>1639.6</td>\n",
              "      <td>2.774</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2012-01-12</td>\n",
              "      <td>111.26</td>\n",
              "      <td>80.77</td>\n",
              "      <td>6148.413333</td>\n",
              "      <td>-149.519954</td>\n",
              "      <td>1647.7</td>\n",
              "      <td>2.697</td>\n",
              "      <td>0.991620</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2012-01-13</td>\n",
              "      <td>110.44</td>\n",
              "      <td>81.52</td>\n",
              "      <td>6141.236667</td>\n",
              "      <td>-198.907999</td>\n",
              "      <td>1630.8</td>\n",
              "      <td>2.670</td>\n",
              "      <td>0.988093</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6a5f5b61-67c8-448a-9773-3d6b529a49a2')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-6a5f5b61-67c8-448a-9773-3d6b529a49a2 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-6a5f5b61-67c8-448a-9773-3d6b529a49a2');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
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              "\n",
              "\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-69abad2c-b651-49ba-923a-a7a70bd818f6')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-69abad2c-b651-49ba-923a-a7a70bd818f6 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 2380,\n  \"fields\": [\n    {\n      \"column\": \"Date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 2380,\n        \"samples\": [\n          \"2017-07-04\",\n          \"2020-06-08\",\n          \"2019-10-15\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 26.581542273321276,\n        \"min\": 19.33,\n        \"max\": 126.22,\n        \"num_unique_values\": 1980,\n        \"samples\": [\n          75.33,\n          122.88,\n          109.09\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close_usd\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7.249718089716976,\n        \"min\": 78.27,\n        \"max\": 103.25,\n        \"num_unique_values\": 1274,\n        \"samples\": [\n          80.63,\n          99.15,\n          79.81\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close_tent\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1145.2629193795449,\n        \"min\": 3459.53,\n        \"max\": 9119.82,\n        \"num_unique_values\": 2362,\n        \"samples\": [\n          4768.49,\n          4754.04,\n          4976.68\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Csum_CrudeBERT_Plus_GT\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3229.5830221070532,\n        \"min\": -14033.46606933275,\n        \"max\": -32.19132013581189,\n        \"num_unique_values\": 2380,\n        \"samples\": [\n          -6667.501540250772,\n          -10595.09849214517,\n          -10086.06239302287\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close_gold\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 223.13500131391842,\n        \"min\": 1049.6,\n        \"max\": 2069.4,\n        \"num_unique_values\": 1905,\n        \"samples\": [\n          1311.5,\n          1565.5,\n          1890.4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close_gas\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7380782413048752,\n        \"min\": 1.482,\n        \"max\": 6.149,\n        \"num_unique_values\": 1517,\n        \"samples\": [\n          2.935,\n          2.364,\n          2.153\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"SENT1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.2306634988569373,\n        \"min\": 0.0,\n        \"max\": 0.9999999999999999,\n        \"num_unique_values\": 2380,\n        \"samples\": [\n          0.5260924209422047,\n          0.2455753235886461,\n          0.28193173457554543\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 114
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Visualizing The Price and Volume\n",
        "\n",
        "\n",
        "plt.figure(figsize=(10, 5), dpi=150)\n",
        "\n",
        "scaled_df['Close'].plot(label='Price')\n",
        "scaled_df['Close_usd'].plot(label='USD')\n",
        "scaled_df['Csum_CrudeBERT_Plus_GT'].plot(label='SENT')\n",
        "\n",
        "# adding title\n",
        "plt.title('Brent Oil Price Plot compared to others')\n",
        "\n",
        "#plt.ylabel('Prices & Volume')\n",
        "plt.xlabel('Date')\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 735
        },
        "id": "2--BF1wdwvhr",
        "outputId": "a89454c3-2ae6-4dd0-c010-b5d61694253b"
      },
      "execution_count": 117,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7dbfe7b27850>"
            ]
          },
          "metadata": {},
          "execution_count": 117
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x750 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Heatmap Spearman Correlation for the data 2007-2023 without Sentiment variable\n",
        "\n",
        "df_scaled_no_dat = scaled_df.drop('Date', axis=1)\n",
        "\n",
        "plt.figure(figsize=(10,8))\n",
        "matrix = np.triu(df_scaled_no_dat.corr(method='spearman'))\n",
        "heat_map = sns.heatmap(df_scaled_no_dat.corr(method='spearman'),annot=True,annot_kws={\"size\":14},cmap= 'YlGnBu',mask=matrix)\n",
        "heat_map.set_yticklabels(heat_map.get_yticklabels(), rotation=60)\n",
        "heat_map.set_xticklabels(heat_map.get_xticklabels(), rotation=60)\n",
        "plt.tick_params(labelsize=12)\n",
        "plt.title('Heatmap Spearman Correlation')\n",
        "plt.style.use('fivethirtyeight')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 920
        },
        "id": "VJIk6D8xZjrH",
        "outputId": "a9785257-bd42-405b-d830-f768cd8f9e6d"
      },
      "execution_count": 123,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_scaled_no_dat.corr(method='spearman')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "1zw4HjNQdUug",
        "outputId": "a89e86d9-4912-493a-e8d0-3f6c25b7e735"
      },
      "execution_count": 124,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                           Close  Close_usd  Close_tent  \\\n",
              "Close                   1.000000  -0.739532    0.632651   \n",
              "Close_usd              -0.739532   1.000000   -0.660820   \n",
              "Close_tent              0.632651  -0.660820    1.000000   \n",
              "Csum_CrudeBERT_Plus_GT  0.767166  -0.735409    0.340652   \n",
              "Close_gold              0.181335  -0.349891    0.121391   \n",
              "Close_gas               0.540040  -0.479352    0.385374   \n",
              "\n",
              "                        Csum_CrudeBERT_Plus_GT  Close_gold  Close_gas  \n",
              "Close                                 0.767166    0.181335   0.540040  \n",
              "Close_usd                            -0.735409   -0.349891  -0.479352  \n",
              "Close_tent                            0.340652    0.121391   0.385374  \n",
              "Csum_CrudeBERT_Plus_GT                1.000000    0.299859   0.573248  \n",
              "Close_gold                            0.299859    1.000000  -0.206814  \n",
              "Close_gas                             0.573248   -0.206814   1.000000  "
            ],
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              "      <th></th>\n",
              "      <th>Close</th>\n",
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              "      <td>-0.735409</td>\n",
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              "      const buttonEl =\n",
              "        document.querySelector('#df-024f8350-85c1-44d1-ac82-4aa2b7ef8792 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-024f8350-85c1-44d1-ac82-4aa2b7ef8792');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-56de55be-3e9f-456a-85b9-216b634fbb11\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-56de55be-3e9f-456a-85b9-216b634fbb11')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-56de55be-3e9f-456a-85b9-216b634fbb11 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df_scaled_no_dat\",\n  \"rows\": 6,\n  \"fields\": [\n    {\n      \"column\": \"Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.6188441932575789,\n        \"min\": -0.73953226473329,\n        \"max\": 1.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          1.0,\n          -0.73953226473329,\n          0.5400401167534915\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close_usd\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.6682932165333852,\n        \"min\": -0.73953226473329,\n        \"max\": 1.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          -0.73953226473329,\n          1.0,\n          -0.47935242121295835\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close_tent\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5593947294833432,\n        \"min\": -0.6608198087916194,\n        \"max\": 1.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          0.63265102113753,\n          -0.6608198087916194,\n          0.38537431997481736\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Csum_CrudeBERT_Plus_GT\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.6039126233734926,\n        \"min\": -0.7354088842804261,\n        \"max\": 1.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          0.7671661904764531,\n          -0.7354088842804261,\n          0.5732483268348282\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close_gold\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.47337486624262687,\n        \"min\": -0.3498912596566541,\n        \"max\": 1.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          0.18133539756856978,\n          -0.3498912596566541,\n          -0.20681417951679396\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close_gas\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5465889613976997,\n        \"min\": -0.47935242121295835,\n        \"max\": 1.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          0.5400401167534915,\n          -0.47935242121295835,\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 124
        }
      ]
    }
  ]
}