seaborn.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "49I-XVCQETHS",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 106
        },
        "outputId": "baf1bb8f-8a04-4f32-adbd-54405dd98e3a"
      },
      "outputs": [
        {
          "output_type": "error",
          "ename": "SyntaxError",
          "evalue": "invalid syntax (<ipython-input-4-1f417cc8f341>, line 6)",
          "traceback": [
            "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-4-1f417cc8f341>\"\u001b[0;36m, line \u001b[0;32m6\u001b[0m\n\u001b[0;31m    car_crashes to csv(car_crashes)\u001b[0m\n\u001b[0m                ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
          ]
        }
      ],
      "source": [
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "car_crashes=sns.load_dataset(\"car_crashes\")\n",
        "\n",
        "print(car_crashes)\n",
        "sns.jointplot(x=\"total\",y=\"speeding\",data=car_crashes)\n",
        "plt.title(\"caar crashes \")\n",
        "plt.xlabel(\"total\")\n",
        "plt.ylabel(\"due to speed\")\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "diamonds=sns.load_dataset(\"diamonds\")\n",
        "print(diamonds)\n",
        "sns.jointplot(x=\"carat\",y=\"cut\",data=diamonds)\n",
        "plt.title(\"about diamonds \")\n",
        "plt.xlabel(\"carat\")\n",
        "plt.ylabel(\"cut\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 850
        },
        "id": "ENqPsrwcJMCu",
        "outputId": "20a60a65-5fc0-48e6-92d9-1f49ed1f8f08"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "       carat        cut color clarity  depth  table  price     x     y     z\n",
            "0       0.23      Ideal     E     SI2   61.5   55.0    326  3.95  3.98  2.43\n",
            "1       0.21    Premium     E     SI1   59.8   61.0    326  3.89  3.84  2.31\n",
            "2       0.23       Good     E     VS1   56.9   65.0    327  4.05  4.07  2.31\n",
            "3       0.29    Premium     I     VS2   62.4   58.0    334  4.20  4.23  2.63\n",
            "4       0.31       Good     J     SI2   63.3   58.0    335  4.34  4.35  2.75\n",
            "...      ...        ...   ...     ...    ...    ...    ...   ...   ...   ...\n",
            "53935   0.72      Ideal     D     SI1   60.8   57.0   2757  5.75  5.76  3.50\n",
            "53936   0.72       Good     D     SI1   63.1   55.0   2757  5.69  5.75  3.61\n",
            "53937   0.70  Very Good     D     SI1   62.8   60.0   2757  5.66  5.68  3.56\n",
            "53938   0.86    Premium     H     SI2   61.0   58.0   2757  6.15  6.12  3.74\n",
            "53939   0.75      Ideal     D     SI2   62.2   55.0   2757  5.83  5.87  3.64\n",
            "\n",
            "[53940 rows x 10 columns]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x600 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "dots=sns.load_dataset(\"dots\")\n",
        "print(dots)\n",
        "sns.jointplot(x=\"choice\",y=\"time\",data=dots)\n",
        "plt.title(\" Different variables measured across experimental conditions. \")\n",
        "plt.xlabel(\"choice\")\n",
        "plt.ylabel(\"time\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 850
        },
        "id": "a42zT8gwJUkY",
        "outputId": "e580edf5-b48f-4824-b794-c1a93298cce8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "    align choice  time  coherence  firing_rate\n",
            "0    dots     T1   -80        0.0    33.189967\n",
            "1    dots     T1   -80        3.2    31.691726\n",
            "2    dots     T1   -80        6.4    34.279840\n",
            "3    dots     T1   -80       12.8    32.631874\n",
            "4    dots     T1   -80       25.6    35.060487\n",
            "..    ...    ...   ...        ...          ...\n",
            "843  sacc     T2   300        3.2    33.281734\n",
            "844  sacc     T2   300        6.4    27.583979\n",
            "845  sacc     T2   300       12.8    28.511530\n",
            "846  sacc     T2   300       25.6    27.009804\n",
            "847  sacc     T2   300       51.2    30.959302\n",
            "\n",
            "[848 rows x 5 columns]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x600 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "mpg=sns.load_dataset(\"mpg\")\n",
        "print(mpg)\n",
        "sns.jointplot(x=\"cylinders\",y=\"horsepower\",data=mpg)\n",
        "plt.title(\" Fuel economy data from various car models.\")\n",
        "plt.xlabel(\"cylinders\")\n",
        "plt.ylabel(\"horsepower\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "EnJIEZHypbsE",
        "outputId": "a7009828-f772-44c1-f4f2-30d7116eaf6f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "      mpg  cylinders  displacement  horsepower  weight  acceleration  \\\n",
            "0    18.0          8         307.0       130.0    3504          12.0   \n",
            "1    15.0          8         350.0       165.0    3693          11.5   \n",
            "2    18.0          8         318.0       150.0    3436          11.0   \n",
            "3    16.0          8         304.0       150.0    3433          12.0   \n",
            "4    17.0          8         302.0       140.0    3449          10.5   \n",
            "..    ...        ...           ...         ...     ...           ...   \n",
            "393  27.0          4         140.0        86.0    2790          15.6   \n",
            "394  44.0          4          97.0        52.0    2130          24.6   \n",
            "395  32.0          4         135.0        84.0    2295          11.6   \n",
            "396  28.0          4         120.0        79.0    2625          18.6   \n",
            "397  31.0          4         119.0        82.0    2720          19.4   \n",
            "\n",
            "     model_year  origin                       name  \n",
            "0            70     usa  chevrolet chevelle malibu  \n",
            "1            70     usa          buick skylark 320  \n",
            "2            70     usa         plymouth satellite  \n",
            "3            70     usa              amc rebel sst  \n",
            "4            70     usa                ford torino  \n",
            "..          ...     ...                        ...  \n",
            "393          82     usa            ford mustang gl  \n",
            "394          82  europe                  vw pickup  \n",
            "395          82     usa              dodge rampage  \n",
            "396          82     usa                ford ranger  \n",
            "397          82     usa                 chevy s-10  \n",
            "\n",
            "[398 rows x 9 columns]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x600 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "anscombe=sns.load_dataset(\"anscombe\")\n",
        "print(anscombe)\n",
        "sns.jointplot(x=\"x\",y=\"dataset\",data=anscombe)\n",
        "plt.title(\"dataset vs x\")\n",
        "plt.xlabel(\"x values\")\n",
        "plt.ylabel(\"dataset\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "H7o9ac_1rPJn",
        "outputId": "e4a8accc-9b33-402b-9749-6ef536c61dce"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "   dataset     x      y\n",
            "0        I  10.0   8.04\n",
            "1        I   8.0   6.95\n",
            "2        I  13.0   7.58\n",
            "3        I   9.0   8.81\n",
            "4        I  11.0   8.33\n",
            "5        I  14.0   9.96\n",
            "6        I   6.0   7.24\n",
            "7        I   4.0   4.26\n",
            "8        I  12.0  10.84\n",
            "9        I   7.0   4.82\n",
            "10       I   5.0   5.68\n",
            "11      II  10.0   9.14\n",
            "12      II   8.0   8.14\n",
            "13      II  13.0   8.74\n",
            "14      II   9.0   8.77\n",
            "15      II  11.0   9.26\n",
            "16      II  14.0   8.10\n",
            "17      II   6.0   6.13\n",
            "18      II   4.0   3.10\n",
            "19      II  12.0   9.13\n",
            "20      II   7.0   7.26\n",
            "21      II   5.0   4.74\n",
            "22     III  10.0   7.46\n",
            "23     III   8.0   6.77\n",
            "24     III  13.0  12.74\n",
            "25     III   9.0   7.11\n",
            "26     III  11.0   7.81\n",
            "27     III  14.0   8.84\n",
            "28     III   6.0   6.08\n",
            "29     III   4.0   5.39\n",
            "30     III  12.0   8.15\n",
            "31     III   7.0   6.42\n",
            "32     III   5.0   5.73\n",
            "33      IV   8.0   6.58\n",
            "34      IV   8.0   5.76\n",
            "35      IV   8.0   7.71\n",
            "36      IV   8.0   8.84\n",
            "37      IV   8.0   8.47\n",
            "38      IV   8.0   7.04\n",
            "39      IV   8.0   5.25\n",
            "40      IV  19.0  12.50\n",
            "41      IV   8.0   5.56\n",
            "42      IV   8.0   7.91\n",
            "43      IV   8.0   6.89\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x600 with 3 Axes>"
            ],
            "image/png": 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joczNaZeYOzznJP8s5zgnkXMkhcenzyRJkjCKJEmSAKNIkiQJMIokSZIAo0iSJAkwiiRJkgCjSJIkCTCKJEmSAKNIkiQJMIokSZIAo0iSJAkwiiRJkgCjSJIkCTCKJEmSAKNIkiQJMIokSZIAo0iSJAkwiiRJkgCjSJIkCTCKJEmSAKNIkiQJMIokSZIAo0iSJAkwiiRJkgCjSJIkCTCKJEmSAKNIkiQJMIokSZIAo0iSJAkwiiRJkgCjSJIkCTCKJEmSAKNIkiQJMIokSZIAo0iSJAkwiiRJkgCjSJIkCTCKJEmSAKNIkiQJMIokSZIAo0iSJAkwiiRJkgBICXsBSZIUu63/9zKVO7eFvUZS2V26JabrGUWSJDVj6597JOwVklMkQlVV1VFdxSiSJKkZ63v5JHKOLQp7jaRS8XEJ6xbPJi0t7aiuZxRJktSM5RaeSJei/mGvkVR2ZrSL6Xq+0FqSJAmjSJIkCTCKJEmSAKNIkiQJMIokSZIAo0iSJAkwiiRJkgCjSJIkCTCKJEmSAKNIkiQJMIokSZIAo0iSJAkwiiRJkgCjSJIkCTCKJEmSAKNIkiQJMIokSZIAo0iSJAkwiiRJkgCjSJIkCTCKJEmSAKNIkiQJMIokSZIAo0iSJAkwiiRJkgCjSJIkCTCKJEmSAKNIkiQJMIokSZIAo0iSJAkwiiRJkgCjSJIkCTCKJEmSAKNIkiQJMIokSZIAo0iSJAkwiiRJkgCjSJIkCTCKJEmSAKNIkiQJMIokSZIAo0iSJAlIwigaP348l1xySb0fS5IkNaWUsBdIVmWV1ZRWVBPdW0N2ehtyM1LJaZfqnCSZk8hZznFOIudICo9RdBAf7drD5CWvs3pjae1lg4tymTWyH3nt050T8pxEznKOcxI5R1K4ku7ps7CVVVbXu/MDWLWxlFuWvE5ZZbVzQpyTyFnOcU4i50gKX7OPoqqqKqLRaJ2PxiitqK5353fAqo2llFbE5w7QOck/yznOSeQcqSHx/nqn+pp9FM2cOZOcnJzaj/z8/EbdXnRvzWGPlzdw3DlNOyeRs5zjnETOkRoS7693qq/ZR9GUKVMoKyur/di8eXOjbi+7bZvDHs9q4LhzmnZOImc5xzmJnCM1JN5f71Rfs4+itLQ0srOz63w0Rm5mKoOLcg96bHBRLrmZ8Xm3iXOSf5ZznJPIOVJD4v31TvU1+yiKt5x2qcwa2a/eneDgolxmj+wXt7fgOif5ZznHOYmcIyl8kSAIgrCX+Ffjx49n165dLF26tM6Pj1Q0GiUnJ4eysrJGVfSB70lSvreGrLZtyM1s2u994pzkneUc5yRyjnSkDny9O/sHc+lS1D/sdZLKzpINrJg+gbVr13LKKacc8fWS7vsUPfLIIwf9caLltEvMHZ5zkn+Wc5yTyDmSwuPTZ5IkSRhFkiRJgFEkSZIEGEWSJEmAUSRJkgQYRZIkSYBRJEmSBBhFkiRJgFEkSZIEGEWSJEmAUSRJkgQYRZIkSYBRJEmSBBhFkiRJgFEkSZIEGEWSJEmAUSRJkgQYRZIkSYBRJEmSBMQYRY8++ihVVVX1Lq+urubRRx9t9FKSJEmJFlMUTZgwgbKysnqXl5eXM2HChEYvJUmSlGgxRVEQBEQikXqXf/DBB+Tk5DR6KUmSpERLOZpPHjBgAJFIhEgkwtChQ0lJ+X9X37dvH5s2bWL48OFxX1KSJKmpHVUUXXLJJQCsW7eOYcOGkZmZWXssNTWV7t27M3LkyLguKEmSlAhHFUXTpk0DoHv37owePZq2bds2yVKSJEmJFtNrisaNG8fevXtZsGABU6ZMYefOnQAUFxfz4YcfxnVBSZKkRDiqR4oOeP311zn33HPJycnhvffe49vf/jYdO3bkqaeeoqSkxLflS5KkZiemR4puvPFGxo8fz8aNG+s8hfb1r3+dVatWxW05SZKkRInpkaJXXnmF+fPn17v82GOPZevWrY1eSpIkKdFieqQoLS2NaDRa7/K3336bzp07N3opSZKkRIspii666CJuv/12ampqAIhEIpSUlDB58mTfki9JkpqlmKJozpw5VFRU0KVLF/bs2cOQIUPo2bMnWVlZTJ8+Pd47SpIkNbmYXlOUk5PDihUr+N///V9ee+01KioqOOWUUzj33HPjvZ8kSVJCxBRFBwwaNIhBgwYBsGvXrnjsI0mSFIqYnj6bPXs2TzzxRO3PR40aRadOnTj22GN57bXX4racJElSosQURfPmzSM/Px+AFStWsGLFCp577jnOP/98br755rguKEmSlAgxPX22devW2ih65plnGDVqFOeddx7du3dn4MCBcV1QkiQpEWJ6pKhDhw5s3rwZgOXLl9e+wDoIAvbt2xe/7SRJkhIkpkeKRowYwZVXXklRURE7duzg/PPPB+DVV1+lZ8+ecV1QkiQpEWKKonvvvZfu3buzefNm7rrrLjIzMwHYsmUL3/ve9+K6oCRJUiLEFEVt2rThBz/4Qb3Lb7zxxkYvJEmSFIZGfZ+if/zjH5SUlFBdXV3n8osuuqhRS0mSJCVaTFH07rvvcumll/LGG28QiUQIggD47P9AA3yxtSRJanZiiqIbbriBHj168Pzzz9OjRw9efvllduzYwU033cTdd98d7x0lSdIhbP2/l6ncuS3sNZLK7tItMV0vpih66aWX+POf/0xubi6tWrWiVatWnHnmmcycOZPrr7+eV199NaZlJEnS0Vn/3CNhr5CcIhGqqqqO6ioxRdG+ffvIysoCIDc3l48++ohevXpRWFjIhg0bYrlJSZIUg76XTyLn2KKw10gqFR+XsG7xbNLS0o7qejFF0Ze//GVee+01evTowcCBA7nrrrtITU1l/vz5HH/88bHcpCRJikFu4Yl0Keof9hpJZWdGu5iuF1MU/ed//ie7d+8G4Pbbb+cb3/gGZ511Fp06deLxxx+PaRFJkqQwxRRFw4YNq/1xz549eeutt9i5cycdOnSofQeaJElScxLT/302ceJEysvL61zWsWNHKisrmThxYlwWkyRJSqSYomjhwoXs2bOn3uV79uzh0UcfbfRSkiRJiXZUT59Fo1GCICAIAsrLy2nbtm3tsX379vHss8/SpUuXuC8pSZLU1I4qitq3b08kEiESiXDiiSfWOx6JRLjtttvitpwkSVKiHFUUrVy5kiAIOOecc1iyZAkdO3asPZaamkphYSF5eXlxX1KSJKmpHVUUDRkyBIBNmzaRn59Pq1YxvSRJkiQp6cT0lvzCwkIAKisrKSkpobq6us7xfv36NX4zSZKkBIopirZv386ECRN47rnnDnp83759jVpKkiQp0WJ6/mvSpEns2rWLNWvWkJ6ezvLly1m4cCFFRUUsW7Ys3jtKkiQ1uZgeKfrzn//Mb3/7W0477TRatWpFYWEhX/va18jOzmbmzJlccMEF8d5TkiSpScX0SNHu3btrvx9Rhw4d2L59OwB9+/aluLg4fttJkiQlSExR1KtXLzZs2ADAySefzIMPPsiHH37IvHnz6NatW1wXlCRJSoSYnj674YYb2LJlCwDTpk1j+PDhPPbYY6SmprJw4cK4LihJkpQIMUXR2LFja3986qmn8v777/PWW29RUFBAbm5u3JaTJElKlCOOou9///tHfKP33HNPTMtIkiSF5Yij6NVXX63z8+LiYj799FN69eoFwNtvv03r1q059dRT47uhJElSAhxxFK1cubL2x/fccw9ZWVksXLiQDh06APDJJ58wYcIEzjrrrPhvKUmS1MRievfZnDlzmDlzZm0QwWdvzb/zzjuZM2dO3JaTJElKlJiiKBqN1n5von+1fft2ysvLG72UJElSosUURZdeeikTJkzgqaee4oMPPuCDDz5gyZIlXHPNNYwYMSLeO0qSJDW5mN6SP2/ePH7wgx9w5ZVXUlNT89kNpaRwzTXX8NOf/jSuC0qSJCVCTFHUrl075s6dy09/+lPeeecdAE444QQyMjLiupwkSVKixBRFB2RkZNCvX7947SJJkhSamF5TJEmS1NIYRZIkSRhFkiRJgFEkSZIEGEWSJEmAUSRJkgQYRZIkSYBRJEmSBBhFkiRJgFEkSZIEGEWSJEmAUSRJkgQYRZIkSYBRJEmSBBhFkiRJgFEkSZIEGEWSJEkApIS9wPjx49m1axdLly6t8+PPH0u0sspqSiuqie6tITu9DbkZqeS0S3VOksxJ5CznOCeRcySFJ/QoSkYf7drD5CWvs3pjae1lg4tymTWyH3nt050T8pxEznKOcxI5R1K4fPrsc8oqq+vd+QGs2ljKLUtep6yy2jkhzknkLOc4J5FzJIWv2UdRVVUV0Wi0zkdjlFZU17vzO2DVxlJKK+JzB+ic5J/lHOckco7UkHh/vVN9zT6KZs6cSU5OTu1Hfn5+o24vurfmsMfLGzjunKadk8hZznFOIudIDYn31zvV1+yjaMqUKZSVldV+bN68uVG3l922zWGPZzVw3DlNOyeRs5zjnETOkRoS7693qq/ZR1FaWhrZ2dl1PhojNzOVwUW5Bz02uCiX3Mz4vNvEOck/yznOSeQcqSHx/nqn+pp9FMVbTrtUZo3sV+9OcHBRLrNH9ovbW3Cdk/yznOOcRM6RFD7fkn8Qee3Tuf+KAZRWVFO+t4astm3IzYz/9yRxTvLPco5zEjlHUriMokPIaZeYOzznJP8s5zgnkXMkhSf0KHrkkUcO+uOD/VySJKmp+JoiSZIkjCJJkiTAKJIkSQKMIkmSJMAokiRJAowiSZIkwCiSJEkCjCJJkiTAKJIkSQKMIkmSJMAokiRJAowiSZIkwCiSJEkCjCJJkiTAKJIkSQKMIkmSJMAokiRJAowiSZIkwCiSJEkCjCJJkiTAKJIkSQKMIkmSJMAokiRJAowiSZIkwCiSJEkCjCJJkiTAKJIkSQKMIkmSJMAokiRJAowiSZIkwCiSJEkCjCJJkiTAKJIkSQKMIkmSJMAokiRJAowiSZIkwCiSJEkCjCJJkiTAKJIkSQKMIkmSJMAokiRJAowiSZIkAFLCXkCSJMVu6/+9TOXObWGvkVR2l26J6XpGkSRJzdj65x4Je4XkFIlQVVV1VFcxiiRJasb6Xj6JnGOLwl4jqVR8XMK6xbNJS0s7qusZRZIkNWO5hSfSpah/2GsklZ0Z7WK6ni+0liRJwiiSJEkCjCJJkiTAKJIkSQKMIkmSJMAokiRJAowiSZIkwCiSJEkCjCJJkiTAKJIkSQKMIkmSJMAokiRJAowiSZIkwCiSJEkCjCJJkiTAKJIkSQKMIkmSJMAokiRJAowiSZIkwCiSJEkCjCJJkiTAKJIkSQKMIkmSJMAokiRJAowiSZIkwCiSJEkCjCJJkiTAKJIkSQKMIkmSJMAokiRJAowiSZIkwCiSJEkCjCJJkiTAKJIkSQKMIkmSJMAokiRJAowiSZIkwCiSJEkCjCJJkiTAKJIkSQKMIkmSJMAokiRJAiAlzOHjx49n165d7Nu3j5qaGpYvX17vc1avXs3gwYN57bXX6NevXwhbKll98Ekl5Xs/Jbqnhpz0NmS2TeG4Du3CXktSC1ZWWU1pRTXRvTVkp7chNyOVnHapYa+lOAk1ig645pprGDlyJB988AHHHXdcnWMPP/wwp512mkGkOt7fsZsfPf0G//vPHbWXndmzE9Mv7Uthp4wQN5PUUn20aw+Tl7zO6o2ltZcNLspl1sh+5LVPD3EzxUtSPH32jW98g86dO/PII4/UubyiooInn3ySa665JpzFlJQ++KSyXhABvPjPHdz69Bt88EllSJtJaqnKKqvrBRHAqo2l3LLkdcoqq0PaTPGUFFGUkpLC1VdfzSOPPEIQBLWXP/nkk+zbt48rrrjikNetqqoiGo3W+VDLVr7303pBdMCL/9xB+d5PE7yRpJautKK6XhAdsGpjKaUVTR9Ffr1rekkRRQATJ07knXfe4YUXXqi97OGHH2bkyJHk5OQc8nozZ84kJyen9iM/Pz8R6ypE0T01hz1evvfwxyXpaEUbuF9JxP2OX++aXtJEUe/evTnjjDN46KGHAPjnP//J6tWrG3zqbMqUKZSVldV+bN68ORHrKkTZ6W0Oezyr7eGPS9LRym7gfiUR9zt+vWt6SRNF8NkLrpcsWUJ5eTkPP/wwJ5xwAkOGDDnsddLS0sjOzq7zoZYtq20KZ/bsdNBjZ/bsRFbbpHj/gKQWJDczlcFFuQc9Nrgol9zMpn8Hml/vml5SRdGoUaNo1aoVixcv5tFHH2XixIlEIpGw11KSOa5DO6Zf2rdeGB1495lvy5cUbzntUpk1sl+9MBpclMvskf18W34LkVT/pM7MzGT06NFMmTKFaDTK+PHjw15JSaqwUwazRvajfO+nlO+tIattG7L8PkWSmlBe+3Tuv2IApRXVtfc7uZl+n6KWJKmiCD57Cu1Xv/oVX//618nLywt7HSUxA0hSouW0M4JaslCj6PPflwjgq1/9ap235UuSJCVCUr2mSJIkKSxGkSRJEkaRJEkSYBRJkiQBRpEkSRJgFEmSJAFGkSRJEmAUSZIkAUaRJEkSYBRJkiQBRpEkSRJgFEmSJAFGkSRJEmAUSZIkAUaRJEkSYBRJkiQBRpEkSRJgFEmSJAFGkSRJEmAUSZIkAUaRJEkSYBRJkiQBRpEkSRJgFEmSJAFGkSRJEmAUSZIkAUaRJEkSYBRJkiQBRpEkSRJgFEmSJAFGkSRJEmAUSZIkAUaRJEkSYBRJkiQBRpEkSRJgFEmSJAFGkSRJEmAUSZIkAUaRJEkSYBRJkiQBRpEkSRJgFEmSJAGQEvYCkiQpdtGtJaSkpYe9RlKJbnkvpusZRZIkNWNrH5sV9gpJKT29Hbm5uUd1HaNIkqRm7IUXXiAzMzPsNZJObm4uBQUFR3Udo0iSpGasf//+ZGdnh71Gi+ALrSVJkjCKJEmSAKNIkiQJMIokSZIAo0iSJAkwiiRJkgCjSJIkCTCKJEmSAKNIkiQJMIokSZIAo0iSJAkwiiRJkgCjSJIkCTCKJEmSAKNIkiQJMIokSZIASAl7gXgLggCAaDQa8iaSJB25rKwsIpFI2Gt8obW4KCovLwcgPz8/5E0kSTpyZWVlZGdnh73GF1okOPDQSguxf/9+Pvroo7gUdzQaJT8/n82bN7eIP6gt7Xyg5Z2T55PcPJ/k1tzP52i/bgVBQHl5uY8wxVGLe6SoVatWHHfccXG9zezs7Gb5F+xQWtr5QMs7J88nuXk+ya2lnc+hRCKRL8R5JpIvtJYkScIokiRJAoyiw0pLS2PatGmkpaWFvUpctLTzgZZ3Tp5PcvN8kltLOx8lXot7obUkSVIsfKRIkiQJo0iSJAkwiiRJkgCj6IjMmjWLSCTCpEmTwl4lZh9++CFjx46lU6dOpKen07dvX1555ZWw14rJvn37mDp1Kj169CA9PZ0TTjiBO+64g+by8rhVq1Zx4YUXkpeXRyQSYenSpXWOB0HAj3/8Y7p160Z6ejrnnnsuGzduDGfZI3C486mpqWHy5Mn07duXjIwM8vLyuPrqq/noo4/CW/gINPR79K++853vEIlE+NnPfpaw/Y7WkZzP+vXrueiii8jJySEjI4PTTz+dkpKSxC97BBo6n4qKCq677jqOO+440tPT6dOnD/PmzQtnWTUrRlED/v73v/Pggw/Sr1+/sFeJ2SeffMKgQYNo06YNzz33HP/4xz+YM2cOHTp0CHu1mMyePZsHHniAn//856xfv57Zs2dz1113cf/994e92hHZvXs3J598Mr/4xS8Oevyuu+7ivvvuY968eaxZs4aMjAyGDRvG3r17E7zpkTnc+VRWVlJcXMzUqVMpLi7mqaeeYsOGDVx00UUhbHrkGvo9OuDpp5/mb3/7G3l5eQnaLDYNnc8777zDmWeeSe/evfnLX/7C66+/ztSpU2nbtm2CNz0yDZ3P97//fZYvX85jjz3G+vXrmTRpEtdddx3Lli1L8KZqdgIdUnl5eVBUVBSsWLEiGDJkSHDDDTeEvVJMJk+eHJx55plhrxE3F1xwQTBx4sQ6l40YMSIYM2ZMSBvFDgiefvrp2p/v378/6Nq1a/DTn/609rJdu3YFaWlpwf/8z/+EsOHR+fz5HMzLL78cAMH777+fmKUa6VDn9MEHHwTHHnts8OabbwaFhYXBvffem/DdYnGw8xk9enQwduzYcBZqpIOdz0knnRTcfvvtdS475ZRTgltvvTWBm6k58pGiw7j22mu54IILOPfcc8NepVGWLVvGaaedxuWXX06XLl0YMGAAv/zlL8NeK2ZnnHEGzz//PG+//TYAr732Gi+++CLnn39+yJs13qZNm9i6dWudP3M5OTkMHDiQl156KcTN4qesrIxIJEL79u3DXiVm+/fv56qrruLmm2/mpJNOCnudRtm/fz+///3vOfHEExk2bBhdunRh4MCBh33KMNmdccYZLFu2jA8//JAgCFi5ciVvv/025513XtirKckZRYfw+OOPU1xczMyZM8NepdHeffddHnjgAYqKivjDH/7Ad7/7Xa6//noWLlwY9moxueWWW/jmN79J7969adOmDQMGDGDSpEmMGTMm7NUabevWrQAcc8wxdS4/5phjao81Z3v37mXy5MlcccUVzfr/bJo9ezYpKSlcf/31Ya/SaB9//DEVFRXMmjWL4cOH88c//pFLL72UESNG8MILL4S9Xkzuv/9++vTpw3HHHUdqairDhw/nF7/4BYMHDw57NSW5FvcfwsbD5s2bueGGG1ixYkXSPqd+NPbv389pp53GjBkzABgwYABvvvkm8+bNY9y4cSFvd/R+/etfs2jRIhYvXsxJJ53EunXrmDRpEnl5ec3yfL4oampqGDVqFEEQ8MADD4S9TszWrl3Lf/3Xf1FcXNwi/mfy/fv3A3DxxRdz4403AtC/f3/++te/Mm/ePIYMGRLmejG5//77+dvf/sayZcsoLCxk1apVXHvtteTl5TX7R/7VtHyk6CDWrl3Lxx9/zCmnnEJKSgopKSm88MIL3HfffaSkpLBv376wVzwq3bp1o0+fPnUu+9KXvpS07yxpyM0331z7aFHfvn256qqruPHGG1vEo3pdu3YFYNu2bXUu37ZtW+2x5uhAEL3//vusWLGiWT9KtHr1aj7++GMKCgpq7x/ef/99brrpJrp37x72ekctNzeXlJSUFnMfsWfPHn70ox9xzz33cOGFF9KvXz+uu+46Ro8ezd133x32ekpyPlJ0EEOHDuWNN96oc9mECRPo3bs3kydPpnXr1iFtFptBgwaxYcOGOpe9/fbbFBYWhrRR41RWVtKqVd2eb926de2/eJuzHj160LVrV55//nn69+8PQDQaZc2aNXz3u98Nd7kYHQiijRs3snLlSjp16hT2So1y1VVX1Xu0YdiwYVx11VVMmDAhpK1il5qayumnn95i7iNqamqoqalpsfcRalpG0UFkZWXx5S9/uc5lGRkZdOrUqd7lzcGNN97IGWecwYwZMxg1ahQvv/wy8+fPZ/78+WGvFpMLL7yQ6dOnU1BQwEknncSrr77KPffcw8SJE8Ne7YhUVFTwz3/+s/bnmzZtYt26dXTs2JGCggImTZrEnXfeSVFRET169GDq1Knk5eVxySWXhLf0YRzufLp168Zll11GcXExzzzzDPv27at9bVTHjh1JTU0Na+3Dauj36PNh16ZNG7p27UqvXr0SveoRaeh8br75ZkaPHs3gwYM5++yzWb58Ob/73e/4y1/+Et7Sh9HQ+QwZMoSbb76Z9PR0CgsLeeGFF3j00Ue55557QtxazULYb39rLprzW/KDIAh+97vfBV/+8peDtLS0oHfv3sH8+fPDXilm0Wg0uOGGG4KCgoKgbdu2wfHHHx/ceuutQVVVVdirHZGVK1cGQL2PcePGBUHw2dvyp06dGhxzzDFBWlpaMHTo0GDDhg3hLn0YhzufTZs2HfQYEKxcuTLs1Q+pod+jz0v2t+Qfyfn86le/Cnr27Bm0bds2OPnkk4OlS5eGt3ADGjqfLVu2BOPHjw/y8vKCtm3bBr169QrmzJkT7N+/P9zFlfQiQdBMvg2wJElSE/KF1pIkSRhFkiRJgFEkSZIEGEWSJEmAUSRJkgQYRZIkSYBRJEmSBBhFkiRJgFEk6Sj95S9/IRKJsGvXrrBXkaS4MookSZIwiiRJkgCjSGq2tm/fTteuXZkxY0btZX/9619JTU3l+eefP+h1zjjjDCZPnlzvdtq0acOqVasA+O///m9OO+00srKy6Nq1K1deeSUff/zxIff4yU9+Qv/+/etc9rOf/Yzu3bvXuWzBggV86Utfom3btvTu3Zu5c+fWHquurua6666jW7dutG3blsLCQmbOnHkkvwySFDdGkdRMde7cmYceeoif/OQnvPLKK5SXl3PVVVdx3XXXMXTo0INeZ8yYMTz++OP86/8D/cQTT5CXl8dZZ50FQE1NDXfccQevvfYaS5cu5b333mP8+PGN2nXRokX8+Mc/Zvr06axfv54ZM2YwdepUFi5cCMB9993HsmXL+PWvf82GDRtYtGhRvaiSpKaWEvYCkmL39a9/nW9/+9uMGTOG0047jYyMjMM+wjJq1CgmTZrEiy++WBtBixcv5oorriASiQAwceLE2s8//vjjue+++zj99NOpqKggMzMzpj2nTZvGnDlzGDFiBAA9evTgH//4Bw8++CDjxo2jpKSEoqIizjzzTCKRCIWFhTHNkaTG8JEiqZm7++67+fTTT3nyySdZtGgRaWlph/zczp07c95557Fo0SIANm3axEsvvcSYMWNqP2ft2rVceOGFFBQUkJWVxZAhQwAoKSmJab/du3fzzjvvcM0115CZmVn7ceedd/LOO+8AMH78eNatW0evXr24/vrr+eMf/xjTLElqDKNIaubeeecdPvroI/bv3897773X4OePGTOG3/zmN9TU1LB48WL69u1L3759gc8CZtiwYWRnZ7No0SL+/ve/8/TTTwOfve7nYFq1alXn6Tj47Cm4AyoqKgD45S9/ybp162o/3nzzTf72t78BcMopp7Bp0ybuuOMO9uzZw6hRo7jsssuO+tdCkhrDp8+kZqy6upqxY8cyevRoevXqxbe+9S3eeOMNunTpcsjrXHzxxfzHf/wHy5cvZ/HixVx99dW1x9566y127NjBrFmzyM/PB+CVV1457A6dO3dm69atBEFQ+xTcunXrao8fc8wx5OXl8e6779Z5ROrzsrOzGT16NKNHj+ayyy5j+PDh7Ny5k44dOx7JL4UkNZpRJDVjt956K2VlZdx3331kZmby7LPPMnHiRJ555plDXicjI4NLLrmEqVOnsn79eq644oraYwUFBaSmpnL//ffzne98hzfffJM77rjjsDv8+7//O9u3b+euu+7isssuY/ny5Tz33HNkZ2fXfs5tt93G9ddfT05ODsOHD6eqqopXXnmFTz75hO9///vcc889dOvWjQEDBtCqVSuefPJJunbtSvv27Rv9ayRJRyyQ1CytXLkySElJCVavXl172aZNm4Ls7Oxg7ty5h73us88+GwDB4MGD6x1bvHhx0L179yAtLS346le/GixbtiwAgldffbV2LhB88skntdd54IEHgvz8/CAjIyO4+uqrg+nTpweFhYV1bnfRokVB//79g9TU1KBDhw7B4MGDg6eeeioIgiCYP39+0L9//yAjIyPIzs4Ohg4dGhQXF8f2CyNJMYoEwedeDCBJkvQF5AutJUmSMIokSZIAo0iSJAkwiiRJkgCjSJIkCTCKJEmSAKNIkiQJMIokSZIAo0iSJAkwiiRJkgCjSJIkCTCKJEmSAPj/AJY665x+kBpoAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "attention=sns.load_dataset(\"attention\")\n",
        "print(attention)\n",
        "sns.jointplot(x=\"subject\",y=\"score\",data=attention)\n",
        "plt.title(\"subject vs score\")\n",
        "plt.xlabel(\"subject\")\n",
        "plt.ylabel(\"score\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "MRpbZgu4ruBV",
        "outputId": "01149e78-db99-4ba9-a4f7-49e4b8428a1d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "    Unnamed: 0  subject attention  solutions  score\n",
            "0            0        1   divided          1    2.0\n",
            "1            1        2   divided          1    3.0\n",
            "2            2        3   divided          1    3.0\n",
            "3            3        4   divided          1    5.0\n",
            "4            4        5   divided          1    4.0\n",
            "5            5        6   divided          1    5.0\n",
            "6            6        7   divided          1    5.0\n",
            "7            7        8   divided          1    5.0\n",
            "8            8        9   divided          1    2.0\n",
            "9            9       10   divided          1    6.0\n",
            "10          10       11   focused          1    6.0\n",
            "11          11       12   focused          1    8.0\n",
            "12          12       13   focused          1    6.0\n",
            "13          13       14   focused          1    8.0\n",
            "14          14       15   focused          1    8.0\n",
            "15          15       16   focused          1    6.0\n",
            "16          16       17   focused          1    7.0\n",
            "17          17       18   focused          1    7.0\n",
            "18          18       19   focused          1    5.0\n",
            "19          19       20   focused          1    6.0\n",
            "20          20        1   divided          2    4.0\n",
            "21          21        2   divided          2    4.0\n",
            "22          22        3   divided          2    5.0\n",
            "23          23        4   divided          2    7.0\n",
            "24          24        5   divided          2    5.0\n",
            "25          25        6   divided          2    5.0\n",
            "26          26        7   divided          2    4.5\n",
            "27          27        8   divided          2    7.0\n",
            "28          28        9   divided          2    3.0\n",
            "29          29       10   divided          2    5.0\n",
            "30          30       11   focused          2    5.0\n",
            "31          31       12   focused          2    9.0\n",
            "32          32       13   focused          2    5.0\n",
            "33          33       14   focused          2    8.0\n",
            "34          34       15   focused          2    8.0\n",
            "35          35       16   focused          2    8.0\n",
            "36          36       17   focused          2    7.0\n",
            "37          37       18   focused          2    8.0\n",
            "38          38       19   focused          2    6.0\n",
            "39          39       20   focused          2    6.0\n",
            "40          40        1   divided          3    7.0\n",
            "41          41        2   divided          3    5.0\n",
            "42          42        3   divided          3    6.0\n",
            "43          43        4   divided          3    5.0\n",
            "44          44        5   divided          3    8.0\n",
            "45          45        6   divided          3    6.0\n",
            "46          46        7   divided          3    6.0\n",
            "47          47        8   divided          3    8.0\n",
            "48          48        9   divided          3    7.0\n",
            "49          49       10   divided          3    6.0\n",
            "50          50       11   focused          3    6.0\n",
            "51          51       12   focused          3    8.0\n",
            "52          52       13   focused          3    9.0\n",
            "53          53       14   focused          3    7.0\n",
            "54          54       15   focused          3    7.0\n",
            "55          55       16   focused          3    7.0\n",
            "56          56       17   focused          3    6.0\n",
            "57          57       18   focused          3    6.0\n",
            "58          58       19   focused          3    6.0\n",
            "59          59       20   focused          3    5.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x600 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "brain_networks=sns.load_dataset(\"brain_networks\")\n",
        "print(brain_networks)\n",
        "sns.jointplot(x=\"network\",y=\"1\",data=brain_networks)\n",
        "plt.title(\"network vs 1\")\n",
        "plt.xlabel(\"network\")\n",
        "plt.ylabel(\"1\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "1ufVSi9yr9ix",
        "outputId": "02028f0e-4f92-4a9a-8f95-9d5b5095d98c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "    network                    1                  1.1                   2  \\\n",
            "0      node                    1                    1                   1   \n",
            "1      hemi                   lh                   rh                  lh   \n",
            "2       NaN                  NaN                  NaN                 NaN   \n",
            "3         0    56.05574417114258    92.03103637695312   3.391575574874878   \n",
            "4         1     55.5472526550293     43.6900749206543  -65.49598693847656   \n",
            "..      ...                  ...                  ...                 ...   \n",
            "918     915  -7.4295125007629395    -4.81321907043457  -3.670536518096924   \n",
            "919     916   -33.55413818359375   -38.60562133789063  -25.66480255126953   \n",
            "920     917   -78.53956604003906   -74.19718933105469  -54.04159545898438   \n",
            "921     918  -103.23582458496094    -98.7442855834961  -40.10954284667969   \n",
            "922     919   -36.28886795043945  -10.762069702148438  -30.35626220703125   \n",
            "\n",
            "                     2.1                    3                  3.1  \\\n",
            "0                      1                    1                    1   \n",
            "1                     rh                   lh                   rh   \n",
            "2                    NaN                  NaN                  NaN   \n",
            "3      38.65968322753906   26.203819274902344   -49.71556854248047   \n",
            "4    -13.974522590637207   -28.27496337890625   -39.05012893676758   \n",
            "..                   ...                  ...                  ...   \n",
            "918   1.4422610998153689    -19.6804313659668  -29.109355926513672   \n",
            "919  -30.252351760864254   5.5627851486206055   20.182186126708984   \n",
            "920   -39.97029113769531  -14.277058601379395  -30.606460571289066   \n",
            "921   -44.90773391723633   12.109148025512695   1.6213401556015017   \n",
            "922   -23.31950378417969   14.252187728881836   -27.55986022949219   \n",
            "\n",
            "                       4                  4.1                     5  ...  \\\n",
            "0                      1                    1                     1  ...   \n",
            "1                     lh                   rh                    lh  ...   \n",
            "2                    NaN                  NaN                   NaN  ...   \n",
            "3       47.4610366821289   26.746612548828125   -35.898860931396484  ...   \n",
            "4    -1.2106596231460571  -19.012897491455078    19.568010330200195  ...   \n",
            "..                   ...                  ...                   ...  ...   \n",
            "918  -3.3765623569488525      -8.764892578125  0.017911728471517563  ...   \n",
            "919    17.91124725341797    24.65358161926269    -32.93561172485352  ...   \n",
            "920    60.62852096557617    62.02702331542969    -32.80055618286133  ...   \n",
            "921   33.765560150146484    55.35607147216797   -14.330512046813965  ...   \n",
            "922   17.279512405395508  -19.060152053833008     26.55877685546875  ...   \n",
            "\n",
            "                   16.5                16.6                 16.7  \\\n",
            "0                     3                   4                    4   \n",
            "1                    rh                  lh                   rh   \n",
            "2                   NaN                 NaN                  NaN   \n",
            "3    0.6079040169715881  -70.27054595947266    77.36577606201172   \n",
            "4     57.49507141113281  -76.39321899414062   127.26136016845705   \n",
            "..                  ...                 ...                  ...   \n",
            "918   58.28579330444336   68.55741119384766    22.83304786682129   \n",
            "919   59.86481857299805   23.00457763671875   7.6574625968933105   \n",
            "920   68.76786804199219   49.66401672363281    64.55149841308594   \n",
            "921   103.1552505493164  106.45484924316406     9.04682731628418   \n",
            "922   102.0863037109375   80.05113983154297  -2.6426103115081787   \n",
            "\n",
            "                      17                17.1                 17.2  \\\n",
            "0                      1                   1                    2   \n",
            "1                     lh                  rh                   lh   \n",
            "2                    NaN                 NaN                  NaN   \n",
            "3     -21.73455047607422  1.0282527208328247   7.7917842864990225   \n",
            "4    -13.035799026489258    46.3818244934082  -15.752449989318848   \n",
            "..                   ...                 ...                  ...   \n",
            "918    76.17948913574219    51.9346694946289   -6.614512920379639   \n",
            "919    50.96239852905274  13.696922302246096    63.50361633300781   \n",
            "920    43.80074691772461   8.144479751586914    47.28145980834961   \n",
            "921    46.67441940307617   40.95479583740234   0.8771800398826599   \n",
            "922  -12.229619979858398  -6.596726417541504   17.665163040161133   \n",
            "\n",
            "                   17.3                 17.4                17.5  \\\n",
            "0                     2                    3                   3   \n",
            "1                    rh                   lh                  rh   \n",
            "2                   NaN                  NaN                 NaN   \n",
            "3     68.90372467041016  -10.520872116088867  120.49046325683594   \n",
            "4     31.00033187866211  -39.607521057128906   24.76401138305664   \n",
            "..                  ...                  ...                 ...   \n",
            "918  -6.690762042999268   22.893030166625977   48.27437973022461   \n",
            "919   57.40117645263672    24.97454833984375   51.97215270996094   \n",
            "920   70.49964904785156    66.99440002441406   81.53924560546875   \n",
            "921   37.57715225219727   20.517745971679688   3.124434232711792   \n",
            "922  16.153173446655273    8.300398826599121  33.687530517578125   \n",
            "\n",
            "                    17.6  \n",
            "0                      4  \n",
            "1                     lh  \n",
            "2                    NaN  \n",
            "3    -39.686431884765625  \n",
            "4      -36.7710075378418  \n",
            "..                   ...  \n",
            "918    76.22845458984375  \n",
            "919    64.53878784179689  \n",
            "920    64.96977233886719  \n",
            "921    56.71838760375977  \n",
            "922   17.960655212402344  \n",
            "\n",
            "[923 rows x 63 columns]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x600 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "JYoUqZOx0mtg"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}