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    {
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      "execution_count": 1,
      "metadata": {
        "id": "iUlUv-HLD9cn"
      },
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      "source": [
        "import pandas as pd\n",
        "df = pd.read_csv('/content/electricity.csv')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
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          "height": 226
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        "id": "XfYIxRQUELcV",
        "outputId": "9cf18efb-67c3-47e9-c6b8-f2b9cb9622f2"
      },
      "execution_count": 2,
      "outputs": [
        {
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              "   date   day    period  nswprice  nswdemand  vicprice  vicdemand  transfer  \\\n",
              "0   0.0  b'2'  0.000000  0.056443   0.439155  0.003467   0.422915  0.414912   \n",
              "1   0.0  b'2'  0.021277  0.051699   0.415055  0.003467   0.422915  0.414912   \n",
              "2   0.0  b'2'  0.042553  0.051489   0.385004  0.003467   0.422915  0.414912   \n",
              "3   0.0  b'2'  0.063830  0.045485   0.314639  0.003467   0.422915  0.414912   \n",
              "4   0.0  b'2'  0.085106  0.042482   0.251116  0.003467   0.422915  0.414912   \n",
              "\n",
              "     class  \n",
              "0    b'UP'  \n",
              "1    b'UP'  \n",
              "2    b'UP'  \n",
              "3    b'UP'  \n",
              "4  b'DOWN'  "
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        "df.info()"
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        "id": "fEnQSpcUENgi",
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      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 45312 entries, 0 to 45311\n",
            "Data columns (total 9 columns):\n",
            " #   Column     Non-Null Count  Dtype  \n",
            "---  ------     --------------  -----  \n",
            " 0   date       45312 non-null  float64\n",
            " 1   day        45312 non-null  object \n",
            " 2   period     45312 non-null  float64\n",
            " 3   nswprice   45312 non-null  float64\n",
            " 4   nswdemand  45312 non-null  float64\n",
            " 5   vicprice   45312 non-null  float64\n",
            " 6   vicdemand  45312 non-null  float64\n",
            " 7   transfer   45312 non-null  float64\n",
            " 8   class      45312 non-null  object \n",
            "dtypes: float64(7), object(2)\n",
            "memory usage: 3.1+ MB\n"
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      "source": [
        "df.describe()"
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        "id": "U_kqvcdpEPCe",
        "outputId": "db63b846-ea80-4924-8298-14e8fb5c7178"
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      "execution_count": 4,
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              "               date        period      nswprice     nswdemand      vicprice  \\\n",
              "count  45312.000000  45312.000000  45312.000000  45312.000000  45312.000000   \n",
              "mean       0.499080      0.500000      0.057868      0.425418      0.003467   \n",
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              "25%        0.031934      0.250000      0.035127      0.309134      0.002277   \n",
              "50%        0.456329      0.500000      0.048652      0.443693      0.003467   \n",
              "75%        0.880547      0.750000      0.074336      0.536001      0.003467   \n",
              "max        1.000000      1.000000      1.000000      1.000000      1.000000   \n",
              "\n",
              "          vicdemand      transfer  \n",
              "count  45312.000000  45312.000000  \n",
              "mean       0.422915      0.500526  \n",
              "std        0.120965      0.153373  \n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>period</th>\n",
              "      <th>nswprice</th>\n",
              "      <th>nswdemand</th>\n",
              "      <th>vicprice</th>\n",
              "      <th>vicdemand</th>\n",
              "      <th>transfer</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>45312.000000</td>\n",
              "      <td>45312.000000</td>\n",
              "      <td>45312.000000</td>\n",
              "      <td>45312.000000</td>\n",
              "      <td>45312.000000</td>\n",
              "      <td>45312.000000</td>\n",
              "      <td>45312.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>0.499080</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.057868</td>\n",
              "      <td>0.425418</td>\n",
              "      <td>0.003467</td>\n",
              "      <td>0.422915</td>\n",
              "      <td>0.500526</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.340308</td>\n",
              "      <td>0.294756</td>\n",
              "      <td>0.039991</td>\n",
              "      <td>0.163323</td>\n",
              "      <td>0.010213</td>\n",
              "      <td>0.120965</td>\n",
              "      <td>0.153373</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>0.031934</td>\n",
              "      <td>0.250000</td>\n",
              "      <td>0.035127</td>\n",
              "      <td>0.309134</td>\n",
              "      <td>0.002277</td>\n",
              "      <td>0.372346</td>\n",
              "      <td>0.414912</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>0.456329</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.048652</td>\n",
              "      <td>0.443693</td>\n",
              "      <td>0.003467</td>\n",
              "      <td>0.422915</td>\n",
              "      <td>0.414912</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>0.880547</td>\n",
              "      <td>0.750000</td>\n",
              "      <td>0.074336</td>\n",
              "      <td>0.536001</td>\n",
              "      <td>0.003467</td>\n",
              "      <td>0.469252</td>\n",
              "      <td>0.605702</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</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-0acdcb62-809a-4cbd-9030-351eca65d247')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\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",
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              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-0acdcb62-809a-4cbd-9030-351eca65d247 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-0acdcb62-809a-4cbd-9030-351eca65d247');\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",
              "<div id=\"df-d90ab044-465f-4e94-86cb-66993343c124\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d90ab044-465f-4e94-86cb-66993343c124')\"\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",
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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-d90ab044-465f-4e94-86cb-66993343c124 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"date\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16020.049200037409,\n        \"min\": 0.0,\n        \"max\": 45312.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.4990795572033898,\n          0.456329,\n          45312.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"period\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16020.04482718291,\n        \"min\": 0.0,\n        \"max\": 45312.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          45312.0,\n          0.5,\n          0.75\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"nswprice\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16020.147801808478,\n        \"min\": 0.0,\n        \"max\": 45312.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.057868310138594635,\n          0.048652,\n          45312.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"nswdemand\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16020.06589812015,\n        \"min\": 0.0,\n        \"max\": 45312.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.42541789525953394,\n          0.44369250000000005,\n          45312.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vicprice\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16020.159574554327,\n        \"min\": 0.0,\n        \"max\": 45312.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          45312.0,\n          0.003467033898305085,\n          0.003467\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vicdemand\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16020.069391982126,\n        \"min\": 0.0,\n        \"max\": 45312.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.4229150757194562,\n          0.422915,\n          45312.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"transfer\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16020.055197768741,\n        \"min\": 0.0,\n        \"max\": 45312.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          45312.0,\n          0.5005263909118999,\n          0.605702\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    }
  ]
}