Week1_doc1.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Week1_doc1.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyO/0pyoKN9rQs0ws0cHl8tV",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/rkloe5813/MS-Data-Science_Analytical-Methods/blob/main/Week1_doc1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CQtOzBYLERhg"
      },
      "source": [
        "# import libraries\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import io"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-_29X-x50oLX"
      },
      "source": [
        "# import csv from GitHub\n",
        "url = 'https://raw.githubusercontent.com/rkloe5813/MS-Data-Science_Analytical-Methods/main/week1RandomData.csv'"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fHcrz9hN7uP1"
      },
      "source": [
        "# store imported csv as data frame\n",
        "df1 = pd.read_csv(url, header=None)"
      ],
      "execution_count": 47,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KLuQ4xGD_F1W",
        "outputId": "7d169b97-8172-4e51-bde4-abe3a4d2e345",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 439
        }
      },
      "source": [
        "df1"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "      <th>7</th>\n",
              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>10</th>\n",
              "      <th>11</th>\n",
              "      <th>12</th>\n",
              "      <th>13</th>\n",
              "      <th>14</th>\n",
              "      <th>15</th>\n",
              "      <th>16</th>\n",
              "      <th>17</th>\n",
              "      <th>18</th>\n",
              "      <th>19</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.965407</td>\n",
              "      <td>0.325236</td>\n",
              "      <td>0.865122</td>\n",
              "      <td>0.614286</td>\n",
              "      <td>0.222255</td>\n",
              "      <td>0.575947</td>\n",
              "      <td>0.231403</td>\n",
              "      <td>0.681387</td>\n",
              "      <td>0.517103</td>\n",
              "      <td>0.679634</td>\n",
              "      <td>0.693789</td>\n",
              "      <td>0.575021</td>\n",
              "      <td>0.180728</td>\n",
              "      <td>0.680331</td>\n",
              "      <td>0.895085</td>\n",
              "      <td>0.477046</td>\n",
              "      <td>0.542005</td>\n",
              "      <td>0.483025</td>\n",
              "      <td>0.388160</td>\n",
              "      <td>0.486676</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.301188</td>\n",
              "      <td>0.195493</td>\n",
              "      <td>0.299203</td>\n",
              "      <td>0.032313</td>\n",
              "      <td>0.788408</td>\n",
              "      <td>0.294673</td>\n",
              "      <td>0.369811</td>\n",
              "      <td>0.586087</td>\n",
              "      <td>0.469979</td>\n",
              "      <td>0.315589</td>\n",
              "      <td>0.538411</td>\n",
              "      <td>0.284305</td>\n",
              "      <td>0.975142</td>\n",
              "      <td>0.357425</td>\n",
              "      <td>0.713438</td>\n",
              "      <td>0.415843</td>\n",
              "      <td>0.543725</td>\n",
              "      <td>0.883275</td>\n",
              "      <td>0.552690</td>\n",
              "      <td>0.647865</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.314684</td>\n",
              "      <td>0.075564</td>\n",
              "      <td>0.262861</td>\n",
              "      <td>0.198651</td>\n",
              "      <td>0.398343</td>\n",
              "      <td>0.628168</td>\n",
              "      <td>0.080079</td>\n",
              "      <td>0.805342</td>\n",
              "      <td>0.272845</td>\n",
              "      <td>0.853957</td>\n",
              "      <td>0.495092</td>\n",
              "      <td>0.720198</td>\n",
              "      <td>0.433635</td>\n",
              "      <td>0.151329</td>\n",
              "      <td>0.802913</td>\n",
              "      <td>0.330908</td>\n",
              "      <td>0.574135</td>\n",
              "      <td>0.923513</td>\n",
              "      <td>0.262362</td>\n",
              "      <td>0.063139</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.912251</td>\n",
              "      <td>0.542659</td>\n",
              "      <td>0.280400</td>\n",
              "      <td>0.326647</td>\n",
              "      <td>0.775581</td>\n",
              "      <td>0.299645</td>\n",
              "      <td>0.887288</td>\n",
              "      <td>0.946287</td>\n",
              "      <td>0.115188</td>\n",
              "      <td>0.771202</td>\n",
              "      <td>0.605146</td>\n",
              "      <td>0.356103</td>\n",
              "      <td>0.551579</td>\n",
              "      <td>0.564430</td>\n",
              "      <td>0.428436</td>\n",
              "      <td>0.348539</td>\n",
              "      <td>0.157204</td>\n",
              "      <td>0.094348</td>\n",
              "      <td>0.769356</td>\n",
              "      <td>0.737296</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.617178</td>\n",
              "      <td>0.315484</td>\n",
              "      <td>0.243953</td>\n",
              "      <td>0.905871</td>\n",
              "      <td>0.880875</td>\n",
              "      <td>0.368156</td>\n",
              "      <td>0.709896</td>\n",
              "      <td>0.181098</td>\n",
              "      <td>0.107790</td>\n",
              "      <td>0.841832</td>\n",
              "      <td>0.951268</td>\n",
              "      <td>0.828969</td>\n",
              "      <td>0.129700</td>\n",
              "      <td>0.598130</td>\n",
              "      <td>0.819744</td>\n",
              "      <td>0.678377</td>\n",
              "      <td>0.871557</td>\n",
              "      <td>0.312019</td>\n",
              "      <td>0.185321</td>\n",
              "      <td>0.113801</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>995</th>\n",
              "      <td>0.765133</td>\n",
              "      <td>0.899000</td>\n",
              "      <td>0.280460</td>\n",
              "      <td>0.202006</td>\n",
              "      <td>0.620244</td>\n",
              "      <td>0.016303</td>\n",
              "      <td>0.254293</td>\n",
              "      <td>0.555188</td>\n",
              "      <td>0.277249</td>\n",
              "      <td>0.434235</td>\n",
              "      <td>0.252321</td>\n",
              "      <td>0.430828</td>\n",
              "      <td>0.618172</td>\n",
              "      <td>0.485365</td>\n",
              "      <td>0.125009</td>\n",
              "      <td>0.505620</td>\n",
              "      <td>0.382469</td>\n",
              "      <td>0.152274</td>\n",
              "      <td>0.539564</td>\n",
              "      <td>0.778288</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>996</th>\n",
              "      <td>0.722835</td>\n",
              "      <td>0.592591</td>\n",
              "      <td>0.007103</td>\n",
              "      <td>0.175189</td>\n",
              "      <td>0.960470</td>\n",
              "      <td>0.573313</td>\n",
              "      <td>0.756707</td>\n",
              "      <td>0.613999</td>\n",
              "      <td>0.319601</td>\n",
              "      <td>0.210612</td>\n",
              "      <td>0.452364</td>\n",
              "      <td>0.389515</td>\n",
              "      <td>0.393098</td>\n",
              "      <td>0.336135</td>\n",
              "      <td>0.314156</td>\n",
              "      <td>0.826046</td>\n",
              "      <td>0.914263</td>\n",
              "      <td>0.740086</td>\n",
              "      <td>0.665188</td>\n",
              "      <td>0.022152</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>997</th>\n",
              "      <td>0.742247</td>\n",
              "      <td>0.576259</td>\n",
              "      <td>0.053720</td>\n",
              "      <td>0.561018</td>\n",
              "      <td>0.806069</td>\n",
              "      <td>0.127097</td>\n",
              "      <td>0.322180</td>\n",
              "      <td>0.688650</td>\n",
              "      <td>0.819447</td>\n",
              "      <td>0.952820</td>\n",
              "      <td>0.961219</td>\n",
              "      <td>0.214295</td>\n",
              "      <td>0.187119</td>\n",
              "      <td>0.972189</td>\n",
              "      <td>0.930907</td>\n",
              "      <td>0.182772</td>\n",
              "      <td>0.633774</td>\n",
              "      <td>0.316045</td>\n",
              "      <td>0.377090</td>\n",
              "      <td>0.649652</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>998</th>\n",
              "      <td>0.828206</td>\n",
              "      <td>0.082772</td>\n",
              "      <td>0.386395</td>\n",
              "      <td>0.190909</td>\n",
              "      <td>0.554432</td>\n",
              "      <td>0.924140</td>\n",
              "      <td>0.343754</td>\n",
              "      <td>0.235683</td>\n",
              "      <td>0.462465</td>\n",
              "      <td>0.417861</td>\n",
              "      <td>0.044340</td>\n",
              "      <td>0.857879</td>\n",
              "      <td>0.458023</td>\n",
              "      <td>0.155305</td>\n",
              "      <td>0.156026</td>\n",
              "      <td>0.580599</td>\n",
              "      <td>0.652123</td>\n",
              "      <td>0.410950</td>\n",
              "      <td>0.841952</td>\n",
              "      <td>0.722636</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>999</th>\n",
              "      <td>0.572474</td>\n",
              "      <td>0.109395</td>\n",
              "      <td>0.795823</td>\n",
              "      <td>0.379951</td>\n",
              "      <td>0.693887</td>\n",
              "      <td>0.472265</td>\n",
              "      <td>0.398785</td>\n",
              "      <td>0.722137</td>\n",
              "      <td>0.722547</td>\n",
              "      <td>0.195253</td>\n",
              "      <td>0.727344</td>\n",
              "      <td>0.153886</td>\n",
              "      <td>0.176292</td>\n",
              "      <td>0.127811</td>\n",
              "      <td>0.643503</td>\n",
              "      <td>0.352872</td>\n",
              "      <td>0.121735</td>\n",
              "      <td>0.210659</td>\n",
              "      <td>0.312958</td>\n",
              "      <td>0.886042</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 20 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           0         1         2   ...        17        18        19\n",
              "0    0.965407  0.325236  0.865122  ...  0.483025  0.388160  0.486676\n",
              "1    0.301188  0.195493  0.299203  ...  0.883275  0.552690  0.647865\n",
              "2    0.314684  0.075564  0.262861  ...  0.923513  0.262362  0.063139\n",
              "3    0.912251  0.542659  0.280400  ...  0.094348  0.769356  0.737296\n",
              "4    0.617178  0.315484  0.243953  ...  0.312019  0.185321  0.113801\n",
              "..        ...       ...       ...  ...       ...       ...       ...\n",
              "995  0.765133  0.899000  0.280460  ...  0.152274  0.539564  0.778288\n",
              "996  0.722835  0.592591  0.007103  ...  0.740086  0.665188  0.022152\n",
              "997  0.742247  0.576259  0.053720  ...  0.316045  0.377090  0.649652\n",
              "998  0.828206  0.082772  0.386395  ...  0.410950  0.841952  0.722636\n",
              "999  0.572474  0.109395  0.795823  ...  0.210659  0.312958  0.886042\n",
              "\n",
              "[1000 rows x 20 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "08pwv7cCASRz",
        "outputId": "37b0388c-cfb5-46e2-af17-3875e9cbf725",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(df1)"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "           0         1         2   ...        17        18        19\n",
            "0    0.965407  0.325236  0.865122  ...  0.483025  0.388160  0.486676\n",
            "1    0.301188  0.195493  0.299203  ...  0.883275  0.552690  0.647865\n",
            "2    0.314684  0.075564  0.262861  ...  0.923513  0.262362  0.063139\n",
            "3    0.912251  0.542659  0.280400  ...  0.094348  0.769356  0.737296\n",
            "4    0.617178  0.315484  0.243953  ...  0.312019  0.185321  0.113801\n",
            "..        ...       ...       ...  ...       ...       ...       ...\n",
            "995  0.765133  0.899000  0.280460  ...  0.152274  0.539564  0.778288\n",
            "996  0.722835  0.592591  0.007103  ...  0.740086  0.665188  0.022152\n",
            "997  0.742247  0.576259  0.053720  ...  0.316045  0.377090  0.649652\n",
            "998  0.828206  0.082772  0.386395  ...  0.410950  0.841952  0.722636\n",
            "999  0.572474  0.109395  0.795823  ...  0.210659  0.312958  0.886042\n",
            "\n",
            "[1000 rows x 20 columns]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5g2ASNdtAYub",
        "outputId": "3df6a23a-703a-4104-d38a-2cff0a9fdb98",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(df1.corr())"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "          0         1         2   ...        17        18        19\n",
            "0   1.000000 -0.076352 -0.017477  ... -0.063927  0.009770 -0.054276\n",
            "1  -0.076352  1.000000  0.028620  ... -0.001437 -0.064650  0.049632\n",
            "2  -0.017477  0.028620  1.000000  ... -0.046702 -0.034526  0.004737\n",
            "3   0.027813 -0.036457 -0.008738  ...  0.001523 -0.010131  0.036041\n",
            "4   0.054841 -0.016201 -0.034204  ... -0.057095  0.032845 -0.015249\n",
            "5  -0.057968  0.033099 -0.012613  ...  0.033065  0.024439 -0.028006\n",
            "6   0.038822 -0.001405  0.007072  ... -0.020442  0.005558  0.048566\n",
            "7  -0.002075 -0.030454 -0.004356  ... -0.019937 -0.007429  0.021733\n",
            "8   0.009208  0.055364  0.031888  ... -0.049003 -0.029078  0.038008\n",
            "9   0.000975 -0.015559  0.021687  ... -0.009557 -0.038986 -0.028766\n",
            "10  0.040011 -0.019788 -0.023350  ... -0.008713 -0.043591  0.021649\n",
            "11 -0.010583 -0.051842  0.078042  ...  0.008201 -0.032452 -0.060198\n",
            "12  0.029566 -0.015830  0.040275  ... -0.003423 -0.021364  0.010179\n",
            "13  0.030487 -0.027075 -0.007573  ... -0.051477  0.024959 -0.042057\n",
            "14  0.018793 -0.003554  0.018923  ...  0.018609 -0.059035 -0.042425\n",
            "15  0.028240 -0.014728 -0.009821  ...  0.024124  0.004108 -0.001687\n",
            "16 -0.018901 -0.020549 -0.022126  ... -0.000486 -0.006052  0.010631\n",
            "17 -0.063927 -0.001437 -0.046702  ...  1.000000 -0.053840 -0.015263\n",
            "18  0.009770 -0.064650 -0.034526  ... -0.053840  1.000000  0.025289\n",
            "19 -0.054276  0.049632  0.004737  ... -0.015263  0.025289  1.000000\n",
            "\n",
            "[20 rows x 20 columns]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_cHQk0gcAeX_"
      },
      "source": [
        "testwrite = df1.corr()"
      ],
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DSMiDk9ZAltb",
        "outputId": "c91fc368-e2a5-44ae-bea1-f241e9f953d4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ERZrBugaCA_9"
      },
      "source": [
        "testwrite.to_csv(\"/content/drive/My Drive/Colab Notebooks/testwrite.csv\")"
      ],
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5W_TIDaPCnzl",
        "outputId": "d7cef449-a3a6-4c83-cb81-2572a8054052",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        }
      },
      "source": [
        "plt.figure()\n",
        "sns.heatmap(df1.corr(),\n",
        "            vmin=-1,\n",
        "            cmap='coolwarm');"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "05Nnm16FEeh3",
        "outputId": "5a3f1cbc-b0ee-42f1-c889-b3e3cc5044b0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 439
        }
      },
      "source": [
        "df1"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "      <th>7</th>\n",
              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>10</th>\n",
              "      <th>11</th>\n",
              "      <th>12</th>\n",
              "      <th>13</th>\n",
              "      <th>14</th>\n",
              "      <th>15</th>\n",
              "      <th>16</th>\n",
              "      <th>17</th>\n",
              "      <th>18</th>\n",
              "      <th>19</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.965407</td>\n",
              "      <td>0.325236</td>\n",
              "      <td>0.865122</td>\n",
              "      <td>0.614286</td>\n",
              "      <td>0.222255</td>\n",
              "      <td>0.575947</td>\n",
              "      <td>0.231403</td>\n",
              "      <td>0.681387</td>\n",
              "      <td>0.517103</td>\n",
              "      <td>0.679634</td>\n",
              "      <td>0.693789</td>\n",
              "      <td>0.575021</td>\n",
              "      <td>0.180728</td>\n",
              "      <td>0.680331</td>\n",
              "      <td>0.895085</td>\n",
              "      <td>0.477046</td>\n",
              "      <td>0.542005</td>\n",
              "      <td>0.483025</td>\n",
              "      <td>0.388160</td>\n",
              "      <td>0.486676</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.301188</td>\n",
              "      <td>0.195493</td>\n",
              "      <td>0.299203</td>\n",
              "      <td>0.032313</td>\n",
              "      <td>0.788408</td>\n",
              "      <td>0.294673</td>\n",
              "      <td>0.369811</td>\n",
              "      <td>0.586087</td>\n",
              "      <td>0.469979</td>\n",
              "      <td>0.315589</td>\n",
              "      <td>0.538411</td>\n",
              "      <td>0.284305</td>\n",
              "      <td>0.975142</td>\n",
              "      <td>0.357425</td>\n",
              "      <td>0.713438</td>\n",
              "      <td>0.415843</td>\n",
              "      <td>0.543725</td>\n",
              "      <td>0.883275</td>\n",
              "      <td>0.552690</td>\n",
              "      <td>0.647865</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.314684</td>\n",
              "      <td>0.075564</td>\n",
              "      <td>0.262861</td>\n",
              "      <td>0.198651</td>\n",
              "      <td>0.398343</td>\n",
              "      <td>0.628168</td>\n",
              "      <td>0.080079</td>\n",
              "      <td>0.805342</td>\n",
              "      <td>0.272845</td>\n",
              "      <td>0.853957</td>\n",
              "      <td>0.495092</td>\n",
              "      <td>0.720198</td>\n",
              "      <td>0.433635</td>\n",
              "      <td>0.151329</td>\n",
              "      <td>0.802913</td>\n",
              "      <td>0.330908</td>\n",
              "      <td>0.574135</td>\n",
              "      <td>0.923513</td>\n",
              "      <td>0.262362</td>\n",
              "      <td>0.063139</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.912251</td>\n",
              "      <td>0.542659</td>\n",
              "      <td>0.280400</td>\n",
              "      <td>0.326647</td>\n",
              "      <td>0.775581</td>\n",
              "      <td>0.299645</td>\n",
              "      <td>0.887288</td>\n",
              "      <td>0.946287</td>\n",
              "      <td>0.115188</td>\n",
              "      <td>0.771202</td>\n",
              "      <td>0.605146</td>\n",
              "      <td>0.356103</td>\n",
              "      <td>0.551579</td>\n",
              "      <td>0.564430</td>\n",
              "      <td>0.428436</td>\n",
              "      <td>0.348539</td>\n",
              "      <td>0.157204</td>\n",
              "      <td>0.094348</td>\n",
              "      <td>0.769356</td>\n",
              "      <td>0.737296</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.617178</td>\n",
              "      <td>0.315484</td>\n",
              "      <td>0.243953</td>\n",
              "      <td>0.905871</td>\n",
              "      <td>0.880875</td>\n",
              "      <td>0.368156</td>\n",
              "      <td>0.709896</td>\n",
              "      <td>0.181098</td>\n",
              "      <td>0.107790</td>\n",
              "      <td>0.841832</td>\n",
              "      <td>0.951268</td>\n",
              "      <td>0.828969</td>\n",
              "      <td>0.129700</td>\n",
              "      <td>0.598130</td>\n",
              "      <td>0.819744</td>\n",
              "      <td>0.678377</td>\n",
              "      <td>0.871557</td>\n",
              "      <td>0.312019</td>\n",
              "      <td>0.185321</td>\n",
              "      <td>0.113801</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>995</th>\n",
              "      <td>0.765133</td>\n",
              "      <td>0.899000</td>\n",
              "      <td>0.280460</td>\n",
              "      <td>0.202006</td>\n",
              "      <td>0.620244</td>\n",
              "      <td>0.016303</td>\n",
              "      <td>0.254293</td>\n",
              "      <td>0.555188</td>\n",
              "      <td>0.277249</td>\n",
              "      <td>0.434235</td>\n",
              "      <td>0.252321</td>\n",
              "      <td>0.430828</td>\n",
              "      <td>0.618172</td>\n",
              "      <td>0.485365</td>\n",
              "      <td>0.125009</td>\n",
              "      <td>0.505620</td>\n",
              "      <td>0.382469</td>\n",
              "      <td>0.152274</td>\n",
              "      <td>0.539564</td>\n",
              "      <td>0.778288</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>996</th>\n",
              "      <td>0.722835</td>\n",
              "      <td>0.592591</td>\n",
              "      <td>0.007103</td>\n",
              "      <td>0.175189</td>\n",
              "      <td>0.960470</td>\n",
              "      <td>0.573313</td>\n",
              "      <td>0.756707</td>\n",
              "      <td>0.613999</td>\n",
              "      <td>0.319601</td>\n",
              "      <td>0.210612</td>\n",
              "      <td>0.452364</td>\n",
              "      <td>0.389515</td>\n",
              "      <td>0.393098</td>\n",
              "      <td>0.336135</td>\n",
              "      <td>0.314156</td>\n",
              "      <td>0.826046</td>\n",
              "      <td>0.914263</td>\n",
              "      <td>0.740086</td>\n",
              "      <td>0.665188</td>\n",
              "      <td>0.022152</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>997</th>\n",
              "      <td>0.742247</td>\n",
              "      <td>0.576259</td>\n",
              "      <td>0.053720</td>\n",
              "      <td>0.561018</td>\n",
              "      <td>0.806069</td>\n",
              "      <td>0.127097</td>\n",
              "      <td>0.322180</td>\n",
              "      <td>0.688650</td>\n",
              "      <td>0.819447</td>\n",
              "      <td>0.952820</td>\n",
              "      <td>0.961219</td>\n",
              "      <td>0.214295</td>\n",
              "      <td>0.187119</td>\n",
              "      <td>0.972189</td>\n",
              "      <td>0.930907</td>\n",
              "      <td>0.182772</td>\n",
              "      <td>0.633774</td>\n",
              "      <td>0.316045</td>\n",
              "      <td>0.377090</td>\n",
              "      <td>0.649652</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>998</th>\n",
              "      <td>0.828206</td>\n",
              "      <td>0.082772</td>\n",
              "      <td>0.386395</td>\n",
              "      <td>0.190909</td>\n",
              "      <td>0.554432</td>\n",
              "      <td>0.924140</td>\n",
              "      <td>0.343754</td>\n",
              "      <td>0.235683</td>\n",
              "      <td>0.462465</td>\n",
              "      <td>0.417861</td>\n",
              "      <td>0.044340</td>\n",
              "      <td>0.857879</td>\n",
              "      <td>0.458023</td>\n",
              "      <td>0.155305</td>\n",
              "      <td>0.156026</td>\n",
              "      <td>0.580599</td>\n",
              "      <td>0.652123</td>\n",
              "      <td>0.410950</td>\n",
              "      <td>0.841952</td>\n",
              "      <td>0.722636</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>999</th>\n",
              "      <td>0.572474</td>\n",
              "      <td>0.109395</td>\n",
              "      <td>0.795823</td>\n",
              "      <td>0.379951</td>\n",
              "      <td>0.693887</td>\n",
              "      <td>0.472265</td>\n",
              "      <td>0.398785</td>\n",
              "      <td>0.722137</td>\n",
              "      <td>0.722547</td>\n",
              "      <td>0.195253</td>\n",
              "      <td>0.727344</td>\n",
              "      <td>0.153886</td>\n",
              "      <td>0.176292</td>\n",
              "      <td>0.127811</td>\n",
              "      <td>0.643503</td>\n",
              "      <td>0.352872</td>\n",
              "      <td>0.121735</td>\n",
              "      <td>0.210659</td>\n",
              "      <td>0.312958</td>\n",
              "      <td>0.886042</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 20 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           0         1         2   ...        17        18        19\n",
              "0    0.965407  0.325236  0.865122  ...  0.483025  0.388160  0.486676\n",
              "1    0.301188  0.195493  0.299203  ...  0.883275  0.552690  0.647865\n",
              "2    0.314684  0.075564  0.262861  ...  0.923513  0.262362  0.063139\n",
              "3    0.912251  0.542659  0.280400  ...  0.094348  0.769356  0.737296\n",
              "4    0.617178  0.315484  0.243953  ...  0.312019  0.185321  0.113801\n",
              "..        ...       ...       ...  ...       ...       ...       ...\n",
              "995  0.765133  0.899000  0.280460  ...  0.152274  0.539564  0.778288\n",
              "996  0.722835  0.592591  0.007103  ...  0.740086  0.665188  0.022152\n",
              "997  0.742247  0.576259  0.053720  ...  0.316045  0.377090  0.649652\n",
              "998  0.828206  0.082772  0.386395  ...  0.410950  0.841952  0.722636\n",
              "999  0.572474  0.109395  0.795823  ...  0.210659  0.312958  0.886042\n",
              "\n",
              "[1000 rows x 20 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uihSSg1ykeOu",
        "outputId": "bb57066f-717e-4f33-d764-9515b6d3d58d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 673
        }
      },
      "source": [
        "# show histogram of the correlated data\n",
        "plt.hist(df1.corr())"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(array([[12.,  7.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [15.,  4.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [15.,  4.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [12.,  7.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [14.,  5.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [11.,  8.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [12.,  7.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [15.,  4.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [13.,  6.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [16.,  3.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [11.,  8.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [15.,  4.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [14.,  5.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [14.,  5.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [14.,  5.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [14.,  5.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [15.,  4.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [17.,  2.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [15.,  4.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.],\n",
              "        [14.,  5.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1.]]),\n",
              " array([-0.08560475,  0.02295572,  0.1315162 ,  0.24007667,  0.34863715,\n",
              "         0.45719762,  0.5657581 ,  0.67431857,  0.78287905,  0.89143952,\n",
              "         1.        ]),\n",
              " <a list of 20 Lists of Patches objects>)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 50
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RZvqDdQidjY_",
        "outputId": "a79a3b01-add4-4895-e18a-ef63d4472fad",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "# check datatype\n",
        "type(df1)"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "pandas.core.frame.DataFrame"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uB-v7w5KdyCL"
      },
      "source": [
        "# transpose the dataframe to flip rows and columns\n",
        "df2 = pd.DataFrame.transpose(df1)"
      ],
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UYifzR_feb3s",
        "outputId": "274434d8-5b4a-4f41-9b0f-f753fb37db1b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        }
      },
      "source": [
        "df2.head()"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "      <th>7</th>\n",
              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>10</th>\n",
              "      <th>11</th>\n",
              "      <th>12</th>\n",
              "      <th>13</th>\n",
              "      <th>14</th>\n",
              "      <th>15</th>\n",
              "      <th>16</th>\n",
              "      <th>17</th>\n",
              "      <th>18</th>\n",
              "      <th>19</th>\n",
              "      <th>20</th>\n",
              "      <th>21</th>\n",
              "      <th>22</th>\n",
              "      <th>23</th>\n",
              "      <th>24</th>\n",
              "      <th>25</th>\n",
              "      <th>26</th>\n",
              "      <th>27</th>\n",
              "      <th>28</th>\n",
              "      <th>29</th>\n",
              "      <th>30</th>\n",
              "      <th>31</th>\n",
              "      <th>32</th>\n",
              "      <th>33</th>\n",
              "      <th>34</th>\n",
              "      <th>35</th>\n",
              "      <th>36</th>\n",
              "      <th>37</th>\n",
              "      <th>38</th>\n",
              "      <th>39</th>\n",
              "      <th>...</th>\n",
              "      <th>960</th>\n",
              "      <th>961</th>\n",
              "      <th>962</th>\n",
              "      <th>963</th>\n",
              "      <th>964</th>\n",
              "      <th>965</th>\n",
              "      <th>966</th>\n",
              "      <th>967</th>\n",
              "      <th>968</th>\n",
              "      <th>969</th>\n",
              "      <th>970</th>\n",
              "      <th>971</th>\n",
              "      <th>972</th>\n",
              "      <th>973</th>\n",
              "      <th>974</th>\n",
              "      <th>975</th>\n",
              "      <th>976</th>\n",
              "      <th>977</th>\n",
              "      <th>978</th>\n",
              "      <th>979</th>\n",
              "      <th>980</th>\n",
              "      <th>981</th>\n",
              "      <th>982</th>\n",
              "      <th>983</th>\n",
              "      <th>984</th>\n",
              "      <th>985</th>\n",
              "      <th>986</th>\n",
              "      <th>987</th>\n",
              "      <th>988</th>\n",
              "      <th>989</th>\n",
              "      <th>990</th>\n",
              "      <th>991</th>\n",
              "      <th>992</th>\n",
              "      <th>993</th>\n",
              "      <th>994</th>\n",
              "      <th>995</th>\n",
              "      <th>996</th>\n",
              "      <th>997</th>\n",
              "      <th>998</th>\n",
              "      <th>999</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.965407</td>\n",
              "      <td>0.301188</td>\n",
              "      <td>0.314684</td>\n",
              "      <td>0.912251</td>\n",
              "      <td>0.617178</td>\n",
              "      <td>0.210482</td>\n",
              "      <td>0.053056</td>\n",
              "      <td>0.492318</td>\n",
              "      <td>0.921586</td>\n",
              "      <td>0.085210</td>\n",
              "      <td>0.996575</td>\n",
              "      <td>0.510156</td>\n",
              "      <td>0.171229</td>\n",
              "      <td>0.740689</td>\n",
              "      <td>0.891473</td>\n",
              "      <td>0.263644</td>\n",
              "      <td>0.067242</td>\n",
              "      <td>0.692440</td>\n",
              "      <td>0.518318</td>\n",
              "      <td>0.884471</td>\n",
              "      <td>0.438260</td>\n",
              "      <td>0.094849</td>\n",
              "      <td>0.557677</td>\n",
              "      <td>0.227586</td>\n",
              "      <td>0.837445</td>\n",
              "      <td>0.733859</td>\n",
              "      <td>0.086273</td>\n",
              "      <td>0.415709</td>\n",
              "      <td>0.885658</td>\n",
              "      <td>0.394853</td>\n",
              "      <td>0.444969</td>\n",
              "      <td>0.585574</td>\n",
              "      <td>0.931502</td>\n",
              "      <td>0.637103</td>\n",
              "      <td>0.350854</td>\n",
              "      <td>0.776838</td>\n",
              "      <td>0.393679</td>\n",
              "      <td>0.186230</td>\n",
              "      <td>0.288453</td>\n",
              "      <td>0.636965</td>\n",
              "      <td>...</td>\n",
              "      <td>0.072759</td>\n",
              "      <td>0.311316</td>\n",
              "      <td>0.531640</td>\n",
              "      <td>0.989139</td>\n",
              "      <td>0.462893</td>\n",
              "      <td>0.971019</td>\n",
              "      <td>0.390768</td>\n",
              "      <td>0.280758</td>\n",
              "      <td>0.938210</td>\n",
              "      <td>0.946571</td>\n",
              "      <td>0.222508</td>\n",
              "      <td>0.421252</td>\n",
              "      <td>0.567613</td>\n",
              "      <td>0.189528</td>\n",
              "      <td>0.124786</td>\n",
              "      <td>0.869266</td>\n",
              "      <td>0.477932</td>\n",
              "      <td>0.153227</td>\n",
              "      <td>0.390440</td>\n",
              "      <td>0.069649</td>\n",
              "      <td>0.467947</td>\n",
              "      <td>0.983344</td>\n",
              "      <td>0.505841</td>\n",
              "      <td>0.462114</td>\n",
              "      <td>0.506780</td>\n",
              "      <td>0.176263</td>\n",
              "      <td>0.624191</td>\n",
              "      <td>0.487497</td>\n",
              "      <td>0.036198</td>\n",
              "      <td>0.023520</td>\n",
              "      <td>0.038204</td>\n",
              "      <td>0.283227</td>\n",
              "      <td>0.908667</td>\n",
              "      <td>0.678986</td>\n",
              "      <td>0.369113</td>\n",
              "      <td>0.765133</td>\n",
              "      <td>0.722835</td>\n",
              "      <td>0.742247</td>\n",
              "      <td>0.828206</td>\n",
              "      <td>0.572474</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.325236</td>\n",
              "      <td>0.195493</td>\n",
              "      <td>0.075564</td>\n",
              "      <td>0.542659</td>\n",
              "      <td>0.315484</td>\n",
              "      <td>0.036144</td>\n",
              "      <td>0.328574</td>\n",
              "      <td>0.034166</td>\n",
              "      <td>0.285028</td>\n",
              "      <td>0.696037</td>\n",
              "      <td>0.781636</td>\n",
              "      <td>0.225835</td>\n",
              "      <td>0.080995</td>\n",
              "      <td>0.089989</td>\n",
              "      <td>0.976381</td>\n",
              "      <td>0.247971</td>\n",
              "      <td>0.748097</td>\n",
              "      <td>0.023185</td>\n",
              "      <td>0.068750</td>\n",
              "      <td>0.247669</td>\n",
              "      <td>0.062251</td>\n",
              "      <td>0.397591</td>\n",
              "      <td>0.220350</td>\n",
              "      <td>0.818981</td>\n",
              "      <td>0.735334</td>\n",
              "      <td>0.025507</td>\n",
              "      <td>0.399636</td>\n",
              "      <td>0.591290</td>\n",
              "      <td>0.407850</td>\n",
              "      <td>0.757572</td>\n",
              "      <td>0.790850</td>\n",
              "      <td>0.863612</td>\n",
              "      <td>0.861259</td>\n",
              "      <td>0.660398</td>\n",
              "      <td>0.099574</td>\n",
              "      <td>0.137143</td>\n",
              "      <td>0.799627</td>\n",
              "      <td>0.393019</td>\n",
              "      <td>0.974422</td>\n",
              "      <td>0.133971</td>\n",
              "      <td>...</td>\n",
              "      <td>0.788086</td>\n",
              "      <td>0.438648</td>\n",
              "      <td>0.951995</td>\n",
              "      <td>0.865303</td>\n",
              "      <td>0.416883</td>\n",
              "      <td>0.131700</td>\n",
              "      <td>0.535657</td>\n",
              "      <td>0.620728</td>\n",
              "      <td>0.265111</td>\n",
              "      <td>0.379426</td>\n",
              "      <td>0.326589</td>\n",
              "      <td>0.960614</td>\n",
              "      <td>0.983486</td>\n",
              "      <td>0.738272</td>\n",
              "      <td>0.938720</td>\n",
              "      <td>0.215989</td>\n",
              "      <td>0.509104</td>\n",
              "      <td>0.738751</td>\n",
              "      <td>0.207948</td>\n",
              "      <td>0.181976</td>\n",
              "      <td>0.234285</td>\n",
              "      <td>0.174809</td>\n",
              "      <td>0.156421</td>\n",
              "      <td>0.929386</td>\n",
              "      <td>0.555581</td>\n",
              "      <td>0.064116</td>\n",
              "      <td>0.143177</td>\n",
              "      <td>0.244553</td>\n",
              "      <td>0.507971</td>\n",
              "      <td>0.433039</td>\n",
              "      <td>0.262650</td>\n",
              "      <td>0.668609</td>\n",
              "      <td>0.093698</td>\n",
              "      <td>0.737877</td>\n",
              "      <td>0.648118</td>\n",
              "      <td>0.899000</td>\n",
              "      <td>0.592591</td>\n",
              "      <td>0.576259</td>\n",
              "      <td>0.082772</td>\n",
              "      <td>0.109395</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.865122</td>\n",
              "      <td>0.299203</td>\n",
              "      <td>0.262861</td>\n",
              "      <td>0.280400</td>\n",
              "      <td>0.243953</td>\n",
              "      <td>0.178490</td>\n",
              "      <td>0.145121</td>\n",
              "      <td>0.998268</td>\n",
              "      <td>0.143106</td>\n",
              "      <td>0.787501</td>\n",
              "      <td>0.178904</td>\n",
              "      <td>0.220604</td>\n",
              "      <td>0.089973</td>\n",
              "      <td>0.012255</td>\n",
              "      <td>0.683330</td>\n",
              "      <td>0.106224</td>\n",
              "      <td>0.264863</td>\n",
              "      <td>0.412359</td>\n",
              "      <td>0.817189</td>\n",
              "      <td>0.687955</td>\n",
              "      <td>0.566063</td>\n",
              "      <td>0.818974</td>\n",
              "      <td>0.298766</td>\n",
              "      <td>0.182233</td>\n",
              "      <td>0.102740</td>\n",
              "      <td>0.259072</td>\n",
              "      <td>0.197781</td>\n",
              "      <td>0.159642</td>\n",
              "      <td>0.640313</td>\n",
              "      <td>0.658412</td>\n",
              "      <td>0.891720</td>\n",
              "      <td>0.837548</td>\n",
              "      <td>0.605780</td>\n",
              "      <td>0.952763</td>\n",
              "      <td>0.528816</td>\n",
              "      <td>0.942460</td>\n",
              "      <td>0.988976</td>\n",
              "      <td>0.716486</td>\n",
              "      <td>0.034446</td>\n",
              "      <td>0.231186</td>\n",
              "      <td>...</td>\n",
              "      <td>0.641291</td>\n",
              "      <td>0.717959</td>\n",
              "      <td>0.198429</td>\n",
              "      <td>0.021880</td>\n",
              "      <td>0.321536</td>\n",
              "      <td>0.201891</td>\n",
              "      <td>0.344580</td>\n",
              "      <td>0.920458</td>\n",
              "      <td>0.044753</td>\n",
              "      <td>0.687600</td>\n",
              "      <td>0.908613</td>\n",
              "      <td>0.389610</td>\n",
              "      <td>0.950108</td>\n",
              "      <td>0.438794</td>\n",
              "      <td>0.336525</td>\n",
              "      <td>0.932965</td>\n",
              "      <td>0.048372</td>\n",
              "      <td>0.032545</td>\n",
              "      <td>0.937127</td>\n",
              "      <td>0.117669</td>\n",
              "      <td>0.098986</td>\n",
              "      <td>0.061918</td>\n",
              "      <td>0.931475</td>\n",
              "      <td>0.362795</td>\n",
              "      <td>0.735586</td>\n",
              "      <td>0.564461</td>\n",
              "      <td>0.118498</td>\n",
              "      <td>0.529902</td>\n",
              "      <td>0.989042</td>\n",
              "      <td>0.438882</td>\n",
              "      <td>0.110968</td>\n",
              "      <td>0.042817</td>\n",
              "      <td>0.223349</td>\n",
              "      <td>0.364199</td>\n",
              "      <td>0.490654</td>\n",
              "      <td>0.280460</td>\n",
              "      <td>0.007103</td>\n",
              "      <td>0.053720</td>\n",
              "      <td>0.386395</td>\n",
              "      <td>0.795823</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.614286</td>\n",
              "      <td>0.032313</td>\n",
              "      <td>0.198651</td>\n",
              "      <td>0.326647</td>\n",
              "      <td>0.905871</td>\n",
              "      <td>0.622889</td>\n",
              "      <td>0.724831</td>\n",
              "      <td>0.701295</td>\n",
              "      <td>0.931880</td>\n",
              "      <td>0.240488</td>\n",
              "      <td>0.198319</td>\n",
              "      <td>0.297087</td>\n",
              "      <td>0.533152</td>\n",
              "      <td>0.066104</td>\n",
              "      <td>0.628987</td>\n",
              "      <td>0.810231</td>\n",
              "      <td>0.094712</td>\n",
              "      <td>0.412548</td>\n",
              "      <td>0.467801</td>\n",
              "      <td>0.068896</td>\n",
              "      <td>0.744730</td>\n",
              "      <td>0.389054</td>\n",
              "      <td>0.594671</td>\n",
              "      <td>0.216098</td>\n",
              "      <td>0.581075</td>\n",
              "      <td>0.532796</td>\n",
              "      <td>0.544278</td>\n",
              "      <td>0.822513</td>\n",
              "      <td>0.964344</td>\n",
              "      <td>0.502499</td>\n",
              "      <td>0.476386</td>\n",
              "      <td>0.326509</td>\n",
              "      <td>0.636626</td>\n",
              "      <td>0.487173</td>\n",
              "      <td>0.925003</td>\n",
              "      <td>0.974070</td>\n",
              "      <td>0.362581</td>\n",
              "      <td>0.028316</td>\n",
              "      <td>0.745768</td>\n",
              "      <td>0.881578</td>\n",
              "      <td>...</td>\n",
              "      <td>0.040677</td>\n",
              "      <td>0.498920</td>\n",
              "      <td>0.576707</td>\n",
              "      <td>0.379934</td>\n",
              "      <td>0.939241</td>\n",
              "      <td>0.311323</td>\n",
              "      <td>0.022336</td>\n",
              "      <td>0.250358</td>\n",
              "      <td>0.480185</td>\n",
              "      <td>0.619706</td>\n",
              "      <td>0.987430</td>\n",
              "      <td>0.698882</td>\n",
              "      <td>0.283072</td>\n",
              "      <td>0.509923</td>\n",
              "      <td>0.166048</td>\n",
              "      <td>0.035788</td>\n",
              "      <td>0.984495</td>\n",
              "      <td>0.710940</td>\n",
              "      <td>0.109238</td>\n",
              "      <td>0.000813</td>\n",
              "      <td>0.573939</td>\n",
              "      <td>0.476270</td>\n",
              "      <td>0.782433</td>\n",
              "      <td>0.511335</td>\n",
              "      <td>0.298128</td>\n",
              "      <td>0.172401</td>\n",
              "      <td>0.574468</td>\n",
              "      <td>0.582154</td>\n",
              "      <td>0.022071</td>\n",
              "      <td>0.019603</td>\n",
              "      <td>0.115890</td>\n",
              "      <td>0.098443</td>\n",
              "      <td>0.465449</td>\n",
              "      <td>0.411045</td>\n",
              "      <td>0.587962</td>\n",
              "      <td>0.202006</td>\n",
              "      <td>0.175189</td>\n",
              "      <td>0.561018</td>\n",
              "      <td>0.190909</td>\n",
              "      <td>0.379951</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.222255</td>\n",
              "      <td>0.788408</td>\n",
              "      <td>0.398343</td>\n",
              "      <td>0.775581</td>\n",
              "      <td>0.880875</td>\n",
              "      <td>0.438301</td>\n",
              "      <td>0.431644</td>\n",
              "      <td>0.940196</td>\n",
              "      <td>0.698806</td>\n",
              "      <td>0.909356</td>\n",
              "      <td>0.991967</td>\n",
              "      <td>0.548967</td>\n",
              "      <td>0.893518</td>\n",
              "      <td>0.250736</td>\n",
              "      <td>0.605324</td>\n",
              "      <td>0.435948</td>\n",
              "      <td>0.888602</td>\n",
              "      <td>0.047768</td>\n",
              "      <td>0.096559</td>\n",
              "      <td>0.062028</td>\n",
              "      <td>0.410556</td>\n",
              "      <td>0.489343</td>\n",
              "      <td>0.312982</td>\n",
              "      <td>0.646653</td>\n",
              "      <td>0.979266</td>\n",
              "      <td>0.135537</td>\n",
              "      <td>0.761165</td>\n",
              "      <td>0.222409</td>\n",
              "      <td>0.160751</td>\n",
              "      <td>0.159911</td>\n",
              "      <td>0.191271</td>\n",
              "      <td>0.781065</td>\n",
              "      <td>0.685701</td>\n",
              "      <td>0.849814</td>\n",
              "      <td>0.159302</td>\n",
              "      <td>0.363548</td>\n",
              "      <td>0.843312</td>\n",
              "      <td>0.357246</td>\n",
              "      <td>0.424201</td>\n",
              "      <td>0.798425</td>\n",
              "      <td>...</td>\n",
              "      <td>0.755265</td>\n",
              "      <td>0.735775</td>\n",
              "      <td>0.482199</td>\n",
              "      <td>0.035223</td>\n",
              "      <td>0.886404</td>\n",
              "      <td>0.889310</td>\n",
              "      <td>0.250090</td>\n",
              "      <td>0.239664</td>\n",
              "      <td>0.007311</td>\n",
              "      <td>0.314186</td>\n",
              "      <td>0.668396</td>\n",
              "      <td>0.304759</td>\n",
              "      <td>0.038336</td>\n",
              "      <td>0.330919</td>\n",
              "      <td>0.806246</td>\n",
              "      <td>0.430111</td>\n",
              "      <td>0.984721</td>\n",
              "      <td>0.523628</td>\n",
              "      <td>0.728429</td>\n",
              "      <td>0.755102</td>\n",
              "      <td>0.986147</td>\n",
              "      <td>0.527757</td>\n",
              "      <td>0.059099</td>\n",
              "      <td>0.639452</td>\n",
              "      <td>0.850557</td>\n",
              "      <td>0.896502</td>\n",
              "      <td>0.604690</td>\n",
              "      <td>0.239622</td>\n",
              "      <td>0.399358</td>\n",
              "      <td>0.194613</td>\n",
              "      <td>0.010306</td>\n",
              "      <td>0.516081</td>\n",
              "      <td>0.793547</td>\n",
              "      <td>0.438121</td>\n",
              "      <td>0.794347</td>\n",
              "      <td>0.620244</td>\n",
              "      <td>0.960470</td>\n",
              "      <td>0.806069</td>\n",
              "      <td>0.554432</td>\n",
              "      <td>0.693887</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 1000 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        0         1         2    ...       997       998       999\n",
              "0  0.965407  0.301188  0.314684  ...  0.742247  0.828206  0.572474\n",
              "1  0.325236  0.195493  0.075564  ...  0.576259  0.082772  0.109395\n",
              "2  0.865122  0.299203  0.262861  ...  0.053720  0.386395  0.795823\n",
              "3  0.614286  0.032313  0.198651  ...  0.561018  0.190909  0.379951\n",
              "4  0.222255  0.788408  0.398343  ...  0.806069  0.554432  0.693887\n",
              "\n",
              "[5 rows x 1000 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EfnmkcciedMG"
      },
      "source": [
        "# write the transposed data to a csv\n",
        "# path = '/content/drive/MyDrive/Colab Notebooks/RandDataTrsp.csv'\n",
        "df2.to_csv(\"/content/drive/My Drive/Colab Notebooks/RandDataTrsp.csv\")"
      ],
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bqueSwxAinBc",
        "outputId": "43d9f073-96e6-45e6-9f77-1bcf8926a6f5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "# show correlation matrix\n",
        "print(df2.corr())"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "          0         1         2    ...       997       998       999\n",
            "0    1.000000 -0.336618  0.287422  ...  0.306464 -0.087250  0.316350\n",
            "1   -0.336618  1.000000  0.340119  ...  0.040834  0.027526  0.137951\n",
            "2    0.287422  0.340119  1.000000  ...  0.058201  0.057838 -0.122038\n",
            "3   -0.066108  0.030187 -0.190830  ...  0.308816 -0.018652  0.209162\n",
            "4    0.199528 -0.268115  0.198525  ...  0.349120 -0.170420 -0.190220\n",
            "..        ...       ...       ...  ...       ...       ...       ...\n",
            "995 -0.246832  0.051786 -0.414016  ...  0.147524  0.107993 -0.071138\n",
            "996 -0.384056  0.240364  0.129336  ... -0.082442  0.226797 -0.277569\n",
            "997  0.306464  0.040834  0.058201  ...  1.000000 -0.437737  0.194979\n",
            "998 -0.087250  0.027526  0.057838  ... -0.437737  1.000000 -0.026636\n",
            "999  0.316350  0.137951 -0.122038  ...  0.194979 -0.026636  1.000000\n",
            "\n",
            "[1000 rows x 1000 columns]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1R5MH6vVihNM",
        "outputId": "4c906109-5cc6-4bfd-8cc1-ecd32628679f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 278
        }
      },
      "source": [
        "# show heatmap of the transposed correlation\n",
        "plt.figure()\n",
        "sns.heatmap(df2.corr(),\n",
        "            vmin=-1,\n",
        "            cmap='coolwarm');  "
      ],
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UUTiRSjJkBaK",
        "outputId": "75e83f0c-2613-436e-bcec-e5cab9869fb5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 452
        }
      },
      "source": [
        "# show a histogram of the transposed correlation data\n",
        "plt.hist(df2.corr())"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(array([[  1.,   9.,  90., ...,  25.,   1.,   1.],\n",
              "        [  0.,  14.,  77., ...,  26.,   2.,   1.],\n",
              "        [  1.,  19., 107., ...,  28.,   3.,   1.],\n",
              "        ...,\n",
              "        [  1.,  18.,  89., ...,  21.,   4.,   1.],\n",
              "        [  1.,  17.,  94., ...,  14.,   3.,   1.],\n",
              "        [  1.,  13.,  84., ...,  29.,   2.,   1.]]),\n",
              " array([-0.85094479, -0.66585031, -0.48075583, -0.29566135, -0.11056687,\n",
              "         0.07452761,  0.25962209,  0.44471656,  0.62981104,  0.81490552,\n",
              "         1.        ]),\n",
              " <a list of 1000 Lists of Patches objects>)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}