Data_visualization_Pokemon_Dataset

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      "source": [
        "#Python and Data visualization Bootcamp using Matplotlib & Seaborn - PROJECT WORK submitted by - HARSEES KAUR "
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Importing_Packages\n",
        "\n",
        "import numpy as np \n",
        "import pandas as pd  \n",
        "import matplotlib.pyplot as plt \n",
        "import seaborn as sb \n",
        "\n",
        "#ToViewVisualizations\n",
        "%matplotlib inline "
      ],
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        "id": "WbBFdFq1rLrf"
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      "execution_count": 4,
      "outputs": []
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      "source": [
        ""
      ],
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    {
      "cell_type": "code",
      "source": [
        "#Loading_Dataset\n",
        "\n",
        "pokemon = pd.read_csv('/content/pokemon_dataset.csv')\n",
        "print(pokemon)"
      ],
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        "colab": {
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        "outputId": "f7384135-06de-425e-f63d-d2ea64264a12"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "      id      species  generation_id  height  weight  base_experience  \\\n",
            "0      1    bulbasaur              1     0.7     6.9               64   \n",
            "1      2      ivysaur              1     1.0    13.0              142   \n",
            "2      3     venusaur              1     2.0   100.0              236   \n",
            "3      4   charmander              1     0.6     8.5               62   \n",
            "4      5   charmeleon              1     1.1    19.0              142   \n",
            "..   ...          ...            ...     ...     ...              ...   \n",
            "802  803      poipole              7     0.6     1.8              189   \n",
            "803  804    naganadel              7     3.6   150.0              243   \n",
            "804  805    stakataka              7     5.5   820.0              257   \n",
            "805  806  blacephalon              7     1.8    13.0              257   \n",
            "806  807      zeraora              7     1.5    44.5              270   \n",
            "\n",
            "       type_1  type_2  hp  attack  defense  speed  special-attack  \\\n",
            "0       grass  poison  45      49       49     45              65   \n",
            "1       grass  poison  60      62       63     60              80   \n",
            "2       grass  poison  80      82       83     80             100   \n",
            "3        fire     NaN  39      52       43     65              60   \n",
            "4        fire     NaN  58      64       58     80              80   \n",
            "..        ...     ...  ..     ...      ...    ...             ...   \n",
            "802    poison     NaN  67      73       67     73              73   \n",
            "803    poison  dragon  73      73       73    121             127   \n",
            "804      rock   steel  61     131      211     13              53   \n",
            "805      fire   ghost  53     127       53    107             151   \n",
            "806  electric     NaN  88     112       75    143             102   \n",
            "\n",
            "     special-defense  \n",
            "0                 65  \n",
            "1                 80  \n",
            "2                100  \n",
            "3                 50  \n",
            "4                 65  \n",
            "..               ...  \n",
            "802               67  \n",
            "803               73  \n",
            "804              101  \n",
            "805               79  \n",
            "806               80  \n",
            "\n",
            "[807 rows x 14 columns]\n"
          ]
        }
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    {
      "cell_type": "code",
      "source": [
        "#Understanding_Structure_of_Dataset\n",
        "\n",
        "pokemon.shape\n",
        "pokemon.head(10)"
      ],
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            "text/plain": [
              "   id     species  generation_id  height  weight  base_experience type_1  \\\n",
              "0   1   bulbasaur              1     0.7     6.9               64  grass   \n",
              "1   2     ivysaur              1     1.0    13.0              142  grass   \n",
              "2   3    venusaur              1     2.0   100.0              236  grass   \n",
              "3   4  charmander              1     0.6     8.5               62   fire   \n",
              "4   5  charmeleon              1     1.1    19.0              142   fire   \n",
              "5   6   charizard              1     1.7    90.5              240   fire   \n",
              "6   7    squirtle              1     0.5     9.0               63  water   \n",
              "7   8   wartortle              1     1.0    22.5              142  water   \n",
              "8   9   blastoise              1     1.6    85.5              239  water   \n",
              "9  10    caterpie              1     0.3     2.9               39    bug   \n",
              "\n",
              "   type_2  hp  attack  defense  speed  special-attack  special-defense  \n",
              "0  poison  45      49       49     45              65               65  \n",
              "1  poison  60      62       63     60              80               80  \n",
              "2  poison  80      82       83     80             100              100  \n",
              "3     NaN  39      52       43     65              60               50  \n",
              "4     NaN  58      64       58     80              80               65  \n",
              "5  flying  78      84       78    100             109               85  \n",
              "6     NaN  44      48       65     43              50               64  \n",
              "7     NaN  59      63       80     58              65               80  \n",
              "8     NaN  79      83      100     78              85              105  \n",
              "9     NaN  45      30       35     45              20               20  "
            ],
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              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>species</th>\n",
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              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>bulbasaur</td>\n",
              "      <td>1</td>\n",
              "      <td>0.7</td>\n",
              "      <td>6.9</td>\n",
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              "      <td>63</td>\n",
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              "      <td>venusaur</td>\n",
              "      <td>1</td>\n",
              "      <td>2.0</td>\n",
              "      <td>100.0</td>\n",
              "      <td>236</td>\n",
              "      <td>grass</td>\n",
              "      <td>poison</td>\n",
              "      <td>80</td>\n",
              "      <td>82</td>\n",
              "      <td>83</td>\n",
              "      <td>80</td>\n",
              "      <td>100</td>\n",
              "      <td>100</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>charmander</td>\n",
              "      <td>1</td>\n",
              "      <td>0.6</td>\n",
              "      <td>8.5</td>\n",
              "      <td>62</td>\n",
              "      <td>fire</td>\n",
              "      <td>NaN</td>\n",
              "      <td>39</td>\n",
              "      <td>52</td>\n",
              "      <td>43</td>\n",
              "      <td>65</td>\n",
              "      <td>60</td>\n",
              "      <td>50</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>charmeleon</td>\n",
              "      <td>1</td>\n",
              "      <td>1.1</td>\n",
              "      <td>19.0</td>\n",
              "      <td>142</td>\n",
              "      <td>fire</td>\n",
              "      <td>NaN</td>\n",
              "      <td>58</td>\n",
              "      <td>64</td>\n",
              "      <td>58</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>65</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6</td>\n",
              "      <td>charizard</td>\n",
              "      <td>1</td>\n",
              "      <td>1.7</td>\n",
              "      <td>90.5</td>\n",
              "      <td>240</td>\n",
              "      <td>fire</td>\n",
              "      <td>flying</td>\n",
              "      <td>78</td>\n",
              "      <td>84</td>\n",
              "      <td>78</td>\n",
              "      <td>100</td>\n",
              "      <td>109</td>\n",
              "      <td>85</td>\n",
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              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7</td>\n",
              "      <td>squirtle</td>\n",
              "      <td>1</td>\n",
              "      <td>0.5</td>\n",
              "      <td>9.0</td>\n",
              "      <td>63</td>\n",
              "      <td>water</td>\n",
              "      <td>NaN</td>\n",
              "      <td>44</td>\n",
              "      <td>48</td>\n",
              "      <td>65</td>\n",
              "      <td>43</td>\n",
              "      <td>50</td>\n",
              "      <td>64</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>8</td>\n",
              "      <td>wartortle</td>\n",
              "      <td>1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>22.5</td>\n",
              "      <td>142</td>\n",
              "      <td>water</td>\n",
              "      <td>NaN</td>\n",
              "      <td>59</td>\n",
              "      <td>63</td>\n",
              "      <td>80</td>\n",
              "      <td>58</td>\n",
              "      <td>65</td>\n",
              "      <td>80</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>9</td>\n",
              "      <td>blastoise</td>\n",
              "      <td>1</td>\n",
              "      <td>1.6</td>\n",
              "      <td>85.5</td>\n",
              "      <td>239</td>\n",
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              "      <td>79</td>\n",
              "      <td>83</td>\n",
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              "      <td>78</td>\n",
              "      <td>85</td>\n",
              "      <td>105</td>\n",
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              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>10</td>\n",
              "      <td>caterpie</td>\n",
              "      <td>1</td>\n",
              "      <td>0.3</td>\n",
              "      <td>2.9</td>\n",
              "      <td>39</td>\n",
              "      <td>bug</td>\n",
              "      <td>NaN</td>\n",
              "      <td>45</td>\n",
              "      <td>30</td>\n",
              "      <td>35</td>\n",
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    {
      "cell_type": "code",
      "source": [
        "#Data_Visualization\n",
        "#Bar_Charts\n",
        "\n",
        "#Counting_no._of_pokemons_in_each_category\n",
        "sb.countplot(data=pokemon, x='generation_id');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 280
        },
        "id": "-BJe_T2suDJK",
        "outputId": "3439bdac-4909-4282-a336-a8596bcaa6e8"
      },
      "execution_count": 8,
      "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": [
        "#Improving_uniformity_of_bar_graph_since_no_precedence \n",
        "base_color = sb.color_palette()[3]\n",
        "print(sb.color_palette())\n",
        "sb.countplot(data=pokemon, x='generation_id', color=base_color);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 317
        },
        "id": "YSgFmw1t_apQ",
        "outputId": "b41243d1-51a4-45fd-a11e-a24d94065744"
      },
      "execution_count": 167,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[(0.12156862745098039, 0.4666666666666667, 0.7058823529411765), (1.0, 0.4980392156862745, 0.054901960784313725), (0.17254901960784313, 0.6274509803921569, 0.17254901960784313), (0.8392156862745098, 0.15294117647058825, 0.1568627450980392), (0.5803921568627451, 0.403921568627451, 0.7411764705882353), (0.5490196078431373, 0.33725490196078434, 0.29411764705882354), (0.8901960784313725, 0.4666666666666667, 0.7607843137254902), (0.4980392156862745, 0.4980392156862745, 0.4980392156862745), (0.7372549019607844, 0.7411764705882353, 0.13333333333333333), (0.09019607843137255, 0.7450980392156863, 0.8117647058823529)]\n"
          ]
        },
        {
          "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": [
        "#Sorting_data\n",
        "base_color = sb.color_palette()[3]\n",
        "gen_order = pokemon['generation_id'].value_counts().index\n",
        "sb.countplot(data=pokemon, x='generation_id', color=base_color,\n",
        "             order=gen_order);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 280
        },
        "id": "K-LgHiPj_iup",
        "outputId": "a391270e-1b3c-4f5a-fd37-a59ec0112faf"
      },
      "execution_count": 168,
      "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": [
        "#application_of_vale_counts\n",
        "pokemon['generation_id'].value_counts().index"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dKlGl0JL_paX",
        "outputId": "779e06cd-53e5-421c-88ac-6e29dd7096ee"
      },
      "execution_count": 169,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Int64Index([5, 1, 3, 4, 2, 7, 6], dtype='int64')"
            ]
          },
          "metadata": {},
          "execution_count": 169
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#avoiding_overcrowding_of_ticklabels\n",
        "#method1_changing_orientation\n",
        "base_color=sb.color_palette()[2]\n",
        "sb.countplot(data=pokemon, x='type_1', color=base_color)\n",
        "plt.xticks(rotation=90);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 309
        },
        "id": "ShXkwZvjcSLJ",
        "outputId": "7b033f48-ee8f-405f-fc31-9422c963112e"
      },
      "execution_count": 26,
      "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": [
        "#method2_plotting_on_yaxis\n",
        "base_color=sb.color_palette()[2]\n",
        "type1_order=pokemon['type_1'].value_counts().index\n",
        "sb.countplot(data=pokemon, y='type_1', color=base_color,\n",
        "             order=type1_order);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "akOhC5BgddnY",
        "outputId": "89816b1a-a8ab-402a-b8d6-9c6d8f8e89c7"
      },
      "execution_count": 94,
      "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": [
        "#handling_missing_data\n",
        "pokemon.isna().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xTcPli7SeKTA",
        "outputId": "a6401719-8b13-4828-f746-1611a59b7162"
      },
      "execution_count": 187,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "id                   0\n",
              "species              0\n",
              "generation_id        0\n",
              "height               0\n",
              "weight               0\n",
              "base_experience      0\n",
              "type_1               0\n",
              "type_2             402\n",
              "hp                   0\n",
              "attack               0\n",
              "defense              0\n",
              "speed                0\n",
              "special-attack       0\n",
              "special-defense      0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 187
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "outputId": "8faf2857-a4b3-420e-a3ac-4f15affd1364",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "JXEMMP3AFyu_"
      },
      "source": [
        "#visualization_bar_plot_missing_values \n",
        "na_counts = pokemon.isna().sum()\n",
        "base_color = sb.color_palette()[0]\n",
        "sb.barplot(na_counts.index.values, na_counts, color = base_color)\n",
        "plt.xticks(rotation=90);"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "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": [
        "#pie_chart\n",
        "sorted_counts=pokemon['generation_id'].value_counts()\n",
        "plt.pie (sorted_counts, labels = sorted_counts.index, startangle=90,\n",
        "         counterclock=False)\n",
        "plt.axis('square');\n",
        "#sorted_counts.index_gives_values"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 249
        },
        "id": "ybmLAI6rmD4K",
        "outputId": "26c6906f-00f3-4b9b-b8dd-b63b9934e0f9"
      },
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#donut_plot\n",
        "sorted_counts = pokemon['generation_id'].value_counts()\n",
        "plt.pie(sorted_counts, labels=sorted_counts.index, startangle=90\n",
        "        , counterclock=False, wedgeprops={'width':0.5})\n",
        "plt.axis('square');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 249
        },
        "id": "2Y5-2zflmLwg",
        "outputId": "c4e162d4-eab5-4f36-9d7c-cd40c477e7c3"
      },
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#histogram\n",
        "plt.hist(data=pokemon, x='speed', bins=20, color ='orange');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "N-Q4JxAypz0j",
        "outputId": "99c10766-4510-46a1-a92e-0815c529e277"
      },
      "execution_count": 101,
      "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": [
        "organised_bins=np.arange(5,pokemon['speed'].max()+1,5)\n",
        "plt.hist(data=pokemon, x='speed',bins=organised_bins, \n",
        "         color='orange');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "horKH-XDj5y8",
        "outputId": "72b51ac0-20f2-4a35-b64d-6f405e2f56e3"
      },
      "execution_count": 104,
      "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": [
        "#alternative_approach_using_seaborn\n",
        "sb.distplot(pokemon['speed']);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 335
        },
        "id": "pP1ZiomyysOl",
        "outputId": "9d1255c7-7567-451c-cf7d-ade9b1ef0ec4"
      },
      "execution_count": 112,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n"
          ]
        },
        {
          "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": [
        "#to_plot_histogram_without_denisty\n",
        "sb.distplot(pokemon['speed'],kde=False, hist_kws={'alpha':0.9});"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 334
        },
        "id": "2eJfHSXH0ipW",
        "outputId": "5c82b1b6-5228-4e0f-d743-60fa2c5f3f18"
      },
      "execution_count": 113,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}