depression.ipynb

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      "name": "depression.ipynb",
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        "<a href=\"https://colab.research.google.com/github/naruivo/home/blob/master/depression.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "execution_count": 1,
      "metadata": {
        "id": "B5hiLCSUkb0w"
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      "outputs": [],
      "source": [
        "import pandas as pd"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv(\"https://raw.githubusercontent.com/naruivo/Depression/main/Depression.csv?token=GHSAT0AAAAAABULM5ZIU54SAII2A7AZDKD6YUC7DKQ\")"
      ],
      "metadata": {
        "id": "8aU6-STcke18"
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      "execution_count": 7,
      "outputs": []
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        "df"
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      "execution_count": 8,
      "outputs": [
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              "    id  simplicity  fatalism  depression  adjsimp  adjfatal   adjdep\n",
              "0    1     0.92983   0.35589     0.59870  0.75934   0.10673  0.41865\n",
              "1    2     0.91097   1.18439     0.72787  0.72717   0.99915  0.51688\n",
              "2    3     0.53366  -0.05837     0.53411  0.62176   0.03811  0.70699\n",
              "3    4     0.74118   0.35589     0.56641  0.83522   0.42218  0.65639\n",
              "4    5     0.53366   0.77014     0.50182  0.47697   0.81423  0.53518\n",
              "..  ..         ...       ...         ...      ...       ...      ...\n",
              "77  78     1.04302   1.80577     1.47061  0.72117   1.50039  1.14913\n",
              "78  79     1.79763   2.22003     1.40603  1.59752   2.05016  1.16443\n",
              "79  80     2.11834   0.77014     2.01960  2.39515   0.88910  2.24452\n",
              "80  81     1.42033   1.18439     1.47061  1.31493   1.04058  1.37153\n",
              "81  82     0.98643   1.18439     1.56749  0.97903   1.23973  1.65687\n",
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              "      <th>77</th>\n",
              "      <td>78</td>\n",
              "      <td>1.04302</td>\n",
              "      <td>1.80577</td>\n",
              "      <td>1.47061</td>\n",
              "      <td>0.72117</td>\n",
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              "      <th>78</th>\n",
              "      <td>79</td>\n",
              "      <td>1.79763</td>\n",
              "      <td>2.22003</td>\n",
              "      <td>1.40603</td>\n",
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              "      <td>2.05016</td>\n",
              "      <td>1.16443</td>\n",
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              "      <th>79</th>\n",
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              "      <td>2.11834</td>\n",
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              "      <td>2.01960</td>\n",
              "      <td>2.39515</td>\n",
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              "      <td>1.23973</td>\n",
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          "metadata": {},
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Numerical libraries\n",
        "import numpy as np   \n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "from sklearn.cluster import KMeans\n",
        "\n",
        "# to handle data in form of rows and columns \n",
        "import pandas as pd    \n",
        "\n",
        "# importing ploting libraries\n",
        "import matplotlib.pyplot as plt   \n",
        "\n",
        "#importing seaborn for statistical plots\n",
        "import seaborn as sns\n",
        "\n",
        "from sklearn import metrics\n",
        "\n",
        "import pandas as pd\n",
        "\n",
        "from sklearn.metrics import silhouette_samples, silhouette_score\n",
        "from mpl_toolkits.mplot3d import Axes3D"
      ],
      "metadata": {
        "id": "TwpwjRgokqIo"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.drop('id', axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "Ni_zuVokpQLO"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.describe()"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "98kkEpUQpTiz",
        "outputId": "6e603282-9f28-4ea7-d482-73c32cdbaf69"
      },
      "execution_count": 12,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "       simplicity   fatalism  depression    adjsimp   adjfatal     adjdep\n",
              "count   82.000000  82.000000   82.000000  82.000000  82.000000  82.000000\n",
              "mean     1.000000   1.000000    1.000001   1.000000   1.000000   1.000000\n",
              "std      0.500000   0.500001    0.500000   0.499999   0.500000   0.500000\n",
              "min      0.250680  -0.058370    0.469530   0.235690   0.030120   0.234540\n",
              "25%      0.656282   0.563010    0.566410   0.697958   0.731598   0.596565\n",
              "50%      0.882665   0.977270    0.824750   0.968490   0.924290   0.967845\n",
              "75%      1.269400   1.391520    1.373730   1.201790   1.299120   1.261750\n",
              "max      2.854080   2.220030    2.245650   2.949770   2.249310   2.787630"
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              "      <th></th>\n",
              "      <th>simplicity</th>\n",
              "      <th>fatalism</th>\n",
              "      <th>depression</th>\n",
              "      <th>adjsimp</th>\n",
              "      <th>adjfatal</th>\n",
              "      <th>adjdep</th>\n",
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              "      <th>count</th>\n",
              "      <td>82.000000</td>\n",
              "      <td>82.000000</td>\n",
              "      <td>82.000000</td>\n",
              "      <td>82.000000</td>\n",
              "      <td>82.000000</td>\n",
              "      <td>82.000000</td>\n",
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              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000001</td>\n",
              "      <td>1.000000</td>\n",
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              "      <th>std</th>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.500001</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.499999</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.500000</td>\n",
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              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.250680</td>\n",
              "      <td>-0.058370</td>\n",
              "      <td>0.469530</td>\n",
              "      <td>0.235690</td>\n",
              "      <td>0.030120</td>\n",
              "      <td>0.234540</td>\n",
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              "      <th>25%</th>\n",
              "      <td>0.656282</td>\n",
              "      <td>0.563010</td>\n",
              "      <td>0.566410</td>\n",
              "      <td>0.697958</td>\n",
              "      <td>0.731598</td>\n",
              "      <td>0.596565</td>\n",
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              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>0.882665</td>\n",
              "      <td>0.977270</td>\n",
              "      <td>0.824750</td>\n",
              "      <td>0.968490</td>\n",
              "      <td>0.924290</td>\n",
              "      <td>0.967845</td>\n",
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              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>1.269400</td>\n",
              "      <td>1.391520</td>\n",
              "      <td>1.373730</td>\n",
              "      <td>1.201790</td>\n",
              "      <td>1.299120</td>\n",
              "      <td>1.261750</td>\n",
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              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2.854080</td>\n",
              "      <td>2.220030</td>\n",
              "      <td>2.245650</td>\n",
              "      <td>2.949770</td>\n",
              "      <td>2.249310</td>\n",
              "      <td>2.787630</td>\n",
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              "    .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",
              "    [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-a598028f-18a4-4e25-9447-bde405afd483 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-a598028f-18a4-4e25-9447-bde405afd483');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns\n",
        "sns.pairplot(df, diag_kind='kde') "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "TuLo_deipWAq",
        "outputId": "e25d1c6f-f180-4c34-aeda-de6fdcfac2e8"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.PairGrid at 0x7fe7477f6790>"
            ]
          },
          "metadata": {},
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x1080 with 42 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Finding optimal no. of clusters\n",
        "from scipy.spatial.distance import cdist\n",
        "clusters=range(1,10)\n",
        "meanDistortions=[]\n",
        "\n",
        "for k in clusters:\n",
        "    model=KMeans(n_clusters=k)\n",
        "    model.fit(df)\n",
        "    prediction=model.predict(df)\n",
        "    meanDistortions.append(sum(np.min(cdist(df, model.cluster_centers_, 'euclidean'), axis=1)) / df\n",
        "                           .shape[0])\n",
        "\n",
        "\n",
        "plt.plot(clusters, meanDistortions, 'bx-')\n",
        "plt.xlabel('k')\n",
        "plt.ylabel('Average distortion')\n",
        "plt.title('Selecting k with the Elbow Method')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        },
        "id": "fGnJ8qGxpZ5a",
        "outputId": "57ac8b50-7a9c-491b-b112-9f1a91d929cb"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Selecting k with the Elbow Method')"
            ]
          },
          "metadata": {},
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "kmeans = KMeans(n_clusters=2, n_init = 15, random_state=2345)\n",
        "df[\"Cluster\"] = kmeans.fit_predict(mydata_z)\n",
        "df[\"Cluster\"] = df[\"Cluster\"].astype(\"category\")"
      ],
      "metadata": {
        "id": "9xCRinxopkKa"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df['Cluster'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SNWTNzsIpyMx",
        "outputId": "3fb530ec-0c68-44e2-88d9-84cba3ae2e2a"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1    53\n",
              "0    29\n",
              "Name: Cluster, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "lJ0kNtjHqELu",
        "outputId": "b207cbfb-243f-4be8-c927-9b46e342dd49"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    simplicity  fatalism  depression  adjsimp  adjfatal   adjdep Cluster\n",
              "0      0.92983   0.35589     0.59870  0.75934   0.10673  0.41865       1\n",
              "1      0.91097   1.18439     0.72787  0.72717   0.99915  0.51688       1\n",
              "2      0.53366  -0.05837     0.53411  0.62176   0.03811  0.70699       1\n",
              "3      0.74118   0.35589     0.56641  0.83522   0.42218  0.65639       1\n",
              "4      0.53366   0.77014     0.50182  0.47697   0.81423  0.53518       1\n",
              "..         ...       ...         ...      ...       ...      ...     ...\n",
              "77     1.04302   1.80577     1.47061  0.72117   1.50039  1.14913       0\n",
              "78     1.79763   2.22003     1.40603  1.59752   2.05016  1.16443       0\n",
              "79     2.11834   0.77014     2.01960  2.39515   0.88910  2.24452       0\n",
              "80     1.42033   1.18439     1.47061  1.31493   1.04058  1.37153       0\n",
              "81     0.98643   1.18439     1.56749  0.97903   1.23973  1.65687       0\n",
              "\n",
              "[82 rows x 7 columns]"
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              "      <th>78</th>\n",
              "      <td>1.79763</td>\n",
              "      <td>2.22003</td>\n",
              "      <td>1.40603</td>\n",
              "      <td>1.59752</td>\n",
              "      <td>2.05016</td>\n",
              "      <td>1.16443</td>\n",
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              "      <th>79</th>\n",
              "      <td>2.11834</td>\n",
              "      <td>0.77014</td>\n",
              "      <td>2.01960</td>\n",
              "      <td>2.39515</td>\n",
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              "      <td>0.97903</td>\n",
              "      <td>1.23973</td>\n",
              "      <td>1.65687</td>\n",
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              "<p>82 rows × 7 columns</p>\n",
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              "        buttonEl.style.display =\n",
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              "          const element = document.querySelector('#df-4b38731e-1c16-4b3c-b99d-49af927b657e');\n",
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              "            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",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.scatterplot(\n",
        "    x='simplicity', y=\"depression\", hue=\"Cluster\", data=df\n",
        ");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "f2lu_IBbpz3z",
        "outputId": "4476f360-b105-45a8-f832-eebc8da27dc6"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from scipy.stats import zscore\n",
        "\n",
        "mydata_z = df.apply(zscore)"
      ],
      "metadata": {
        "id": "edVKJaA1qLRy"
      },
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "mydata_z"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "dAlsQvwMrJBO",
        "outputId": "cbd3c294-7c2f-4f9a-db64-f410fc502a33"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    simplicity  fatalism  depression   adjsimp  adjfatal    adjdep   Cluster\n",
              "0    -0.141205 -1.296147   -0.807541 -0.484282 -1.797534 -1.169856  0.739709\n",
              "1    -0.179157  0.371048   -0.547611 -0.549018 -0.001710 -0.972187  0.739709\n",
              "2    -0.938421 -2.129764   -0.937516 -0.761136 -1.935619 -0.589627  0.739709\n",
              "3    -0.520827 -1.296147   -0.872518 -0.331588 -1.162751 -0.691450  0.739709\n",
              "4    -0.938421 -0.462549   -1.002493 -1.052499 -0.373826 -0.935361  0.739709\n",
              "..         ...       ...         ...       ...       ...       ...       ...\n",
              "77    0.086569  1.621454    0.947011 -0.561092  1.006939  0.300095 -1.351882\n",
              "78    1.605076  2.455072    0.817056  1.202396  2.113246  0.330884 -1.351882\n",
              "79    2.250443 -0.462549    2.051748  2.807475 -0.223164  2.504358 -1.351882\n",
              "80    0.845832  0.371048    0.947011  0.633737  0.081660  0.747633 -1.351882\n",
              "81   -0.027308  0.371048    1.141964 -0.042198  0.482411  1.321825 -1.351882\n",
              "\n",
              "[82 rows x 7 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-5ebc3b6e-cde5-4554-8366-e4521c7f9aea\">\n",
              "    <div 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>simplicity</th>\n",
              "      <th>fatalism</th>\n",
              "      <th>depression</th>\n",
              "      <th>adjsimp</th>\n",
              "      <th>adjfatal</th>\n",
              "      <th>adjdep</th>\n",
              "      <th>Cluster</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>-0.141205</td>\n",
              "      <td>-1.296147</td>\n",
              "      <td>-0.807541</td>\n",
              "      <td>-0.484282</td>\n",
              "      <td>-1.797534</td>\n",
              "      <td>-1.169856</td>\n",
              "      <td>0.739709</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>-0.179157</td>\n",
              "      <td>0.371048</td>\n",
              "      <td>-0.547611</td>\n",
              "      <td>-0.549018</td>\n",
              "      <td>-0.001710</td>\n",
              "      <td>-0.972187</td>\n",
              "      <td>0.739709</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>-0.938421</td>\n",
              "      <td>-2.129764</td>\n",
              "      <td>-0.937516</td>\n",
              "      <td>-0.761136</td>\n",
              "      <td>-1.935619</td>\n",
              "      <td>-0.589627</td>\n",
              "      <td>0.739709</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>-0.520827</td>\n",
              "      <td>-1.296147</td>\n",
              "      <td>-0.872518</td>\n",
              "      <td>-0.331588</td>\n",
              "      <td>-1.162751</td>\n",
              "      <td>-0.691450</td>\n",
              "      <td>0.739709</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>-0.938421</td>\n",
              "      <td>-0.462549</td>\n",
              "      <td>-1.002493</td>\n",
              "      <td>-1.052499</td>\n",
              "      <td>-0.373826</td>\n",
              "      <td>-0.935361</td>\n",
              "      <td>0.739709</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>0.086569</td>\n",
              "      <td>1.621454</td>\n",
              "      <td>0.947011</td>\n",
              "      <td>-0.561092</td>\n",
              "      <td>1.006939</td>\n",
              "      <td>0.300095</td>\n",
              "      <td>-1.351882</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>1.605076</td>\n",
              "      <td>2.455072</td>\n",
              "      <td>0.817056</td>\n",
              "      <td>1.202396</td>\n",
              "      <td>2.113246</td>\n",
              "      <td>0.330884</td>\n",
              "      <td>-1.351882</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>2.250443</td>\n",
              "      <td>-0.462549</td>\n",
              "      <td>2.051748</td>\n",
              "      <td>2.807475</td>\n",
              "      <td>-0.223164</td>\n",
              "      <td>2.504358</td>\n",
              "      <td>-1.351882</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>0.845832</td>\n",
              "      <td>0.371048</td>\n",
              "      <td>0.947011</td>\n",
              "      <td>0.633737</td>\n",
              "      <td>0.081660</td>\n",
              "      <td>0.747633</td>\n",
              "      <td>-1.351882</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>81</th>\n",
              "      <td>-0.027308</td>\n",
              "      <td>0.371048</td>\n",
              "      <td>1.141964</td>\n",
              "      <td>-0.042198</td>\n",
              "      <td>0.482411</td>\n",
              "      <td>1.321825</td>\n",
              "      <td>-1.351882</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>82 rows × 7 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5ebc3b6e-cde5-4554-8366-e4521c7f9aea')\"\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 0 24 24\"\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
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              "            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",
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              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
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          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "6-DMF_J-rLMb",
        "outputId": "5269e29e-cd75-40ab-8f3a-28213623f1a6"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    simplicity  fatalism  depression  adjsimp  adjfatal   adjdep Cluster\n",
              "0      0.92983   0.35589     0.59870  0.75934   0.10673  0.41865       1\n",
              "1      0.91097   1.18439     0.72787  0.72717   0.99915  0.51688       1\n",
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              "3      0.74118   0.35589     0.56641  0.83522   0.42218  0.65639       1\n",
              "4      0.53366   0.77014     0.50182  0.47697   0.81423  0.53518       1\n",
              "..         ...       ...         ...      ...       ...      ...     ...\n",
              "77     1.04302   1.80577     1.47061  0.72117   1.50039  1.14913       0\n",
              "78     1.79763   2.22003     1.40603  1.59752   2.05016  1.16443       0\n",
              "79     2.11834   0.77014     2.01960  2.39515   0.88910  2.24452       0\n",
              "80     1.42033   1.18439     1.47061  1.31493   1.04058  1.37153       0\n",
              "81     0.98643   1.18439     1.56749  0.97903   1.23973  1.65687       0\n",
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              "\n",
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              "          document.querySelector('#df-ae5bd54b-5a4a-4474-bc63-27b001750a8b 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-ae5bd54b-5a4a-4474-bc63-27b001750a8b');\n",
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              "          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",
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              "  "
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          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "7O9WJmPerMSr"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}