Data_Visualization_Python.ipynb

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      "cell_type": "markdown",
      "source": [
        "# Data Visualization in Python\n"
      ],
      "metadata": {
        "id": "0z0iVnJo_kK-"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "1. Matplotlib\n",
        "- well with python script, shellls, and jupyter notebook\n",
        "- very versatile for graphs and charts\n",
        "- efficient memory and processing\n",
        "\n",
        "2. Seaborn\n",
        "- for statistical graphs\n",
        "- support for numpy and pandas data structures\n",
        "- provides dataset for plotting function\n",
        "\n",
        "3. Plotly\n",
        "- nice API to work\n",
        "- unique 3d plots\n",
        "- support contour plots"
      ],
      "metadata": {
        "id": "R4OGiTFa_8Is"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Lineplot"
      ],
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      }
    },
    {
      "cell_type": "code",
      "source": [
        "# import libraries\n",
        "import seaborn as sns\n",
        "from matplotlib import pyplot as plt"
      ],
      "metadata": {
        "id": "fMrt6HXMBCW1"
      },
      "execution_count": 2,
      "outputs": []
    },
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      "source": [
        "# fmri dataset\n",
        "fmri = sns.load_dataset(\"fmri\")"
      ],
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        "id": "sr7YWnuUBTKI"
      },
      "execution_count": 3,
      "outputs": []
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      "source": [
        "fmri.head()"
      ],
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              "  subject  timepoint event    region    signal\n",
              "0     s13         18  stim  parietal -0.017552\n",
              "1      s5         14  stim  parietal -0.080883\n",
              "2     s12         18  stim  parietal -0.081033\n",
              "3     s11         18  stim  parietal -0.046134\n",
              "4     s10         18  stim  parietal -0.037970"
            ],
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              "      <th>0</th>\n",
              "      <td>s13</td>\n",
              "      <td>18</td>\n",
              "      <td>stim</td>\n",
              "      <td>parietal</td>\n",
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              "      <td>s5</td>\n",
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              "      <th>2</th>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
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              "      <th>4</th>\n",
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              "type": "dataframe",
              "variable_name": "fmri",
              "summary": "{\n  \"name\": \"fmri\",\n  \"rows\": 1064,\n  \"fields\": [\n    {\n      \"column\": \"subject\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 14,\n        \"samples\": [\n          \"s4\",\n          \"s2\",\n          \"s13\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"timepoint\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 0,\n        \"max\": 18,\n        \"num_unique_values\": 19,\n        \"samples\": [\n          18,\n          15,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"event\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"cue\",\n          \"stim\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"region\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"frontal\",\n          \"parietal\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"signal\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.09392971336541267,\n        \"min\": -0.25548585958,\n        \"max\": 0.564984721448,\n        \"num_unique_values\": 1064,\n        \"samples\": [\n          -0.0495870358338,\n          -0.0639606670951\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
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      "cell_type": "markdown",
      "source": [
        "`Lineplot with timepoint and signal`"
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      "source": [
        "sns.lineplot(x=\"timepoint\", y=\"signal\", data=fmri)\n",
        "plt.show()"
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      "execution_count": 5,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Mapping another column with color`"
      ],
      "metadata": {
        "id": "y8DL3iDECO2f"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# mapping with event column\n",
        "sns.lineplot(x=\"timepoint\", y=\"signal\", data=fmri, hue = \"event\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "Nu2www-OCFUw",
        "outputId": "34a0a80c-dc9c-4c8a-c496-1381287c9e31"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Adding styling for event column data`"
      ],
      "metadata": {
        "id": "kJeK7QWoDQS1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.lineplot(x=\"timepoint\", y=\"signal\", data=fmri, hue = \"event\", style = \"event\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "s7YUSvVQCXRY",
        "outputId": "7f654799-2a43-48f2-db64-de8041bbcf30"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Adding markers for value point`"
      ],
      "metadata": {
        "id": "4yd2W3VNDdVi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.lineplot(x=\"timepoint\", y=\"signal\", data=fmri, hue = \"event\", style = \"event\", markers = True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "l0H-Wi6FDYRu",
        "outputId": "273a1369-552f-44b9-9e15-f7be7f137e89"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "v5mNr7FMDwtA"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "7jImVnFgDorN"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Barplot"
      ],
      "metadata": {
        "id": "W7SxRUJfEE_n"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# import libraries and load pokemon dataset\n",
        "import pandas as pd\n",
        "pokemon = pd.read_csv('pokemon.csv')\n",
        "\n"
      ],
      "metadata": {
        "id": "cnH2sLnoEHsC"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pokemon.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 377
        },
        "id": "9faNec7MEmAo",
        "outputId": "d587f3eb-03ee-48b0-896f-533964728e48"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                     abilities  against_bug  against_dark  against_dragon  \\\n",
              "0  ['Overgrow', 'Chlorophyll']          1.0           1.0             1.0   \n",
              "1  ['Overgrow', 'Chlorophyll']          1.0           1.0             1.0   \n",
              "2  ['Overgrow', 'Chlorophyll']          1.0           1.0             1.0   \n",
              "3     ['Blaze', 'Solar Power']          0.5           1.0             1.0   \n",
              "4     ['Blaze', 'Solar Power']          0.5           1.0             1.0   \n",
              "\n",
              "   against_electric  against_fairy  against_fight  against_fire  \\\n",
              "0               0.5            0.5            0.5           2.0   \n",
              "1               0.5            0.5            0.5           2.0   \n",
              "2               0.5            0.5            0.5           2.0   \n",
              "3               1.0            0.5            1.0           0.5   \n",
              "4               1.0            0.5            1.0           0.5   \n",
              "\n",
              "   against_flying  against_ghost  ...  percentage_male  pokedex_number  \\\n",
              "0             2.0            1.0  ...             88.1               1   \n",
              "1             2.0            1.0  ...             88.1               2   \n",
              "2             2.0            1.0  ...             88.1               3   \n",
              "3             1.0            1.0  ...             88.1               4   \n",
              "4             1.0            1.0  ...             88.1               5   \n",
              "\n",
              "   sp_attack  sp_defense  speed  type1   type2  weight_kg  generation  \\\n",
              "0         65          65     45  grass  poison        6.9           1   \n",
              "1         80          80     60  grass  poison       13.0           1   \n",
              "2        122         120     80  grass  poison      100.0           1   \n",
              "3         60          50     65   fire     NaN        8.5           1   \n",
              "4         80          65     80   fire     NaN       19.0           1   \n",
              "\n",
              "   is_legendary  \n",
              "0             0  \n",
              "1             0  \n",
              "2             0  \n",
              "3             0  \n",
              "4             0  \n",
              "\n",
              "[5 rows x 41 columns]"
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "pokemon"
            }
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Checking speed of legendary pokemon`\n",
        "\n",
        "1= Legendary\n",
        "\n",
        "0= not\n"
      ],
      "metadata": {
        "id": "2fQzhTiMFBkL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.barplot(x=\"is_legendary\", y=\"speed\", data=pokemon)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "id": "dr1KSz3IEovs",
        "outputId": "09969927-7090-4b7c-b907-ee1412e34ceb"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Checking weight of legendary pokemon`\n",
        "\n",
        "1= Legendary\n",
        "\n",
        "0= not"
      ],
      "metadata": {
        "id": "hgV2YXhzFgNU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.barplot(x=\"is_legendary\", y=\"weight_kg\", data=pokemon)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "id": "hrXNOvRdFZhG",
        "outputId": "d74a91ed-57e1-4a26-d826-1ba807a59d6d"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Adding hue to show pokemon generation`"
      ],
      "metadata": {
        "id": "0tHUNNw4F_WW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.barplot(x=\"is_legendary\", y=\"speed\", data=pokemon, hue=\"generation\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "id": "PbKIBGNfFofP",
        "outputId": "68943a8b-41c6-4ca8-f074-dcdf2b3dbaa6"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Using pallete to asign different colour element`"
      ],
      "metadata": {
        "id": "Y60jdzveGRd6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.barplot(x=\"is_legendary\", y=\"speed\", data=pokemon, palette=\"vlag\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 557
        },
        "id": "e1mKgwp1GLoy",
        "outputId": "512c6471-e712-473a-b528-716f31c29681"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-22-02bbd871fbfd>:1: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.barplot(x=\"is_legendary\", y=\"speed\", data=pokemon, palette=\"vlag\")\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.barplot(x=\"is_legendary\", y=\"speed\", data=pokemon, color=\"red\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "id": "ZVEevxEUGeJv",
        "outputId": "ec7379a8-8d06-428e-c94c-a111b50e476b"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Scatter Plot"
      ],
      "metadata": {
        "id": "YzQUw3XoHONv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Import iris dataset\n",
        "iris=pd.read_csv('Iris.csv')"
      ],
      "metadata": {
        "id": "t034b4lfHJR4"
      },
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "iris.head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "E4whsEAMHg7O",
        "outputId": "4f9815a4-9890-4e49-d4d2-656e9cee3115"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Id  SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm      Species\n",
              "0   1            5.1           3.5            1.4           0.2  Iris-setosa\n",
              "1   2            4.9           3.0            1.4           0.2  Iris-setosa\n",
              "2   3            4.7           3.2            1.3           0.2  Iris-setosa\n",
              "3   4            4.6           3.1            1.5           0.2  Iris-setosa\n",
              "4   5            5.0           3.6            1.4           0.2  Iris-setosa\n",
              "5   6            5.4           3.9            1.7           0.4  Iris-setosa\n",
              "6   7            4.6           3.4            1.4           0.3  Iris-setosa\n",
              "7   8            5.0           3.4            1.5           0.2  Iris-setosa\n",
              "8   9            4.4           2.9            1.4           0.2  Iris-setosa\n",
              "9  10            4.9           3.1            1.5           0.1  Iris-setosa"
            ],
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              "      <th></th>\n",
              "      <th>Id</th>\n",
              "      <th>SepalLengthCm</th>\n",
              "      <th>SepalWidthCm</th>\n",
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              "      <th>0</th>\n",
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              "      <td>5.1</td>\n",
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              "      <td>Iris-setosa</td>\n",
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              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "      <td>Iris-setosa</td>\n",
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              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6</td>\n",
              "      <td>5.4</td>\n",
              "      <td>3.9</td>\n",
              "      <td>1.7</td>\n",
              "      <td>0.4</td>\n",
              "      <td>Iris-setosa</td>\n",
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              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7</td>\n",
              "      <td>4.6</td>\n",
              "      <td>3.4</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.3</td>\n",
              "      <td>Iris-setosa</td>\n",
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              "      <th>7</th>\n",
              "      <td>8</td>\n",
              "      <td>5.0</td>\n",
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              "      <td>0.2</td>\n",
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              "      <td>9</td>\n",
              "      <td>4.4</td>\n",
              "      <td>2.9</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "      <td>Iris-setosa</td>\n",
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              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>10</td>\n",
              "      <td>4.9</td>\n",
              "      <td>3.1</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.1</td>\n",
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              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-cfe2b236-4d9e-4e9f-bea9-33aae1d1a040 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-cfe2b236-4d9e-4e9f-bea9-33aae1d1a040');\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",
              "\n",
              "\n",
              "<div id=\"df-201dfea2-8c92-45fd-b871-8e5821358df8\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-201dfea2-8c92-45fd-b871-8e5821358df8')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-201dfea2-8c92-45fd-b871-8e5821358df8 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "iris",
              "summary": "{\n  \"name\": \"iris\",\n  \"rows\": 150,\n  \"fields\": [\n    {\n      \"column\": \"Id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 43,\n        \"min\": 1,\n        \"max\": 150,\n        \"num_unique_values\": 150,\n        \"samples\": [\n          74,\n          19,\n          119\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"SepalLengthCm\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.828066127977863,\n        \"min\": 4.3,\n        \"max\": 7.9,\n        \"num_unique_values\": 35,\n        \"samples\": [\n          6.2,\n          4.5,\n          5.6\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"SepalWidthCm\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.4335943113621737,\n        \"min\": 2.0,\n        \"max\": 4.4,\n        \"num_unique_values\": 23,\n        \"samples\": [\n          2.3,\n          4.0,\n          3.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PetalLengthCm\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.7644204199522626,\n        \"min\": 1.0,\n        \"max\": 6.9,\n        \"num_unique_values\": 43,\n        \"samples\": [\n          6.7,\n          3.8,\n          3.7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PetalWidthCm\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7631607417008411,\n        \"min\": 0.1,\n        \"max\": 2.5,\n        \"num_unique_values\": 22,\n        \"samples\": [\n          0.2,\n          1.2,\n          1.3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Species\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Iris-setosa\",\n          \"Iris-versicolor\",\n          \"Iris-virginica\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Plotting sepal and petal length`"
      ],
      "metadata": {
        "id": "2LFZ_52QH-bz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.scatterplot(x=\"SepalLengthCm\", y=\"PetalLengthCm\", data=iris)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "fNiD72qgH7BW",
        "outputId": "008a2dd6-48da-4803-a0c4-df2eefdae29b"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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32nDfpnK3reqL8tLwwowCn69+aHEMokBhNRARUYBkGOO8qvrRYk0drttD4YQTbImI/EyLNXW4bg+FE15ZIQpz1efOw3y+BZbzLTDFx8AYH9PhfAc1EzplnAQayJi0WFNHy3V7ZDx/FF6YrBCFse9qG/CImxbyT0wdhB5uWsirmdAp4yTQQMeUlmTA6Lw0t7dpRvtpTR37uj27PcxZ8de6PTKePwo/vA1EFKaqz513SVSAix1Zl2yuQPW5807PmxttLj9awMX5EcWlB2FutLkcQ81rAk2rmOZenYvC3FSn5wpzUzH36ly/vL8pwYBV0/JdFhq0r9vjjysfMp4/Ck+8skIUpsznWzpsIW8+3+L0X85qJnTKOAlUq8mvc0r2Ys6oXphT2AvNF9oQGx2J8hPnMKdkL967b5Rfxp2VEo8XZhQEbN0eGc8fhScmK0RhynJe2QRNNRM6ZZwEqtXk10ZbK9Z8dCxgx7AL5Lo9Mp4/Ck+8DUQUpozxyiZoqpnQqeUkUG+F2uTXQAqVcVDw45UVohCipGrDFB/TYQt5U7tkRs2EzrQkA8ZfmY6+mUYUZKeg+UIb4mKisK+qDkdOWvw2CVQJLWLSavIrENhKHS3HQdQRXTvYPv7441i2bJnTc3379sXhw4e9ej072BL9QE3Vxne1DVjipoV8R9VAxaUHnX687BM6Mz0co6q2AYvdVBytmDoIOW6OoQUtYlLzWak5hhYt/QM9Dgo/Sn+/dU9W3nnnHezYscPxXHR0NNLS0jp41Q+YrBBd5EvrdXufFfsETZOXfVa8mdApY0t4LWNS8lmpee9QGAeFp6Brtx8dHY3LLrvMq32bm5vR3NzseGyxWAIVFlFQ8aVqIyslXtF/hSuZ0CljNYmWMQVy8muojIPIG7pPsD169CiysrJwxRVXYNasWaiqqvK478qVK2EymRx/2dnZGkZKJC9ZqzZkjEvGmNQIlXEQeUPXZGX48OEoKSnB+++/j7Vr1+L48eMYPXo06uvr3e6/ePFimM1mx9+JEyc0jphITrJWbcgYl4wxqREq4yDyhq63gSZNmuT43/n5+Rg+fDh69OiBt99+G3fddZfL/rGxsYiNjdUyRCJdeVvpIWvVhtq4WOHSuVCpOCLyhq4TbN256qqrMG7cOKxcubLTfTnBlkKZ0koPWas2lMalRYWL0iooWYVKxRGFn6CqBmrParUiJycHjz/+OObNm9fp/kxWKFSprfSQtWrD27i0qHA5bWnC4ncPon+WydFnxd4K/1C1GStuykeGMc6nY2gpVCqOKLwEVTXQQw89hBtuuAE9evRAdXU1li5diqioKMyYMUPPsIh0p7bSQ9aqDW/j0qLCpa7Bho8On8VHh8963B5MyUqoVBwRdUTXZOVf//oXZsyYgdraWnTr1g2jRo3Cp59+im7duukZFpHuwrXSQ5t1ey74tD2chOu/Q5KPrsnKW2+9pefhiaQVrpUe2qzb0/H/7XW2PZyE679Dko/ufVaIyJW90sMdvStWzI02VJ6xoryqDpVnrTA32vz2Gl/G7e0xuiQaMCo31e22Ubmp6JIY+rc1tDgfRP4k1QRbpTjBlkKZjNU9aipDtKhqUnqMqtoGPOKmGkjP9Yq0EipVZhTcgroaSCkmKxTqZKruUVMZokVVk9pjnLY0oa7BBkvTBRjjotEl0RBUE2vVCLUqMwpeQVUNREQdk6m6R01liBZVTWqPkWGMC/nkpL1QqzKj8KE6WWlqasLBgwdx5swZtLW1OW37r//6L58DIyK5qKkM0aa6hxUr3uJnRcFKVbLy/vvv44477kBNjWuGHhERgdbWVp8DIyK5qKkMUVtN4nSLJj4aXRI836JRe4xQaSGvZBxaVveEyudLclCVrNx///2YPn06fvWrXyEjI8PfMRGRhNSsRaPmNVW1DVi8uQJ7vJz8quYYodJCXuk4tFpPKFQ+X5KHqtLl06dPY+HChUxUiMKIKcGAVdPyXUpZ7ZUhnuY6KHnNaUuTS6ICAGXHavHI5gqctjT5fAxzo83lhxS4OGejuPSgV6XYMlAzDjXnUIu4iDqj6srKz372M+zcuRO9e/f2dzxEJLGslHi8MKNAUWWIktfUNdhcEhW7smO1HlvhKzlGqLSQVzsONedQi7iIOqIqWVmzZg2mT5+OTz75BIMGDUJMjPN9Tm8WISSi4KSmMsTb1/jSCt/7Y4TGJFNfxhHI6p5Q+XxJLqqSlU2bNuF///d/ERcXh507dyIiIsKxLSIigskKEamiRSv8UGkhL+s4ZI2Lgpuqb/6SJUuwbNkyFBcXIzKSHfuJyD+6JBpwTb9uuDLLhILsFDRfaENcTBT2VdXhULXZL63wtZpkCqiriPH2NVqOQwlZ46LgpqqDbdeuXbF3717d56ywgy1R6PnuP63w21cDPTF1EHr4qRW+Fi3kZV2aQAuyxkXy0KTd/gMPPIBu3brhkUceURWkvzBZIQotatvBqz1WoCaZyro0gZZkjYvkoEm7/dbWVjz55JPYvn078vPzXSbYPvPMM2relojCnJaVJIGcZCrr0gRakjUuCk6qkpWKigoUFBQAAL766iunbZdOtiUiUiJUKklkXZqAKFipSlY+/vhjf8dBRBQylSRaLk1AFA4UJSutra34+uuvkZeXh/h450lS58+fx9GjRzFw4EBWCIWRcF3/Q6txKz2OrOfD27V+fKkk0WLsgazUYRUNkWeKJtiWlJRgzZo1+OyzzxAVFeW07cKFC/jJT36CBQsW4LbbbvN7oO5wgq2+wnX9D63GraYyRMbzoXStHzWVJFqMXYtKHVbRULgIaDXQ6NGjMXfuXNx6661ut7/99ttYs2YNdu/e7X3EPmCyoh8tqzZkotW4lR5H1vNx2tKEhW/vd9tCf1RuKp6+eYjbKyxKKkm0GLuWlTqsoqFwENBqoCNHjuAnP/mJx+1XXXUVDh06pOQtKUiF6/ofWo1b6XFkPR9q1/pRUkmixdi1rNRhFQ2RK0WTSxoaGmCxWDxur6+vR2Njo89BkfzCtXJBq3ErPY6s58OXtX68P0bgxy7r50sULhRdWcnLy8M//vEP5Ofnu91eVlaGvLw8vwRGcgvXygVfxq1kAqjS48h6PmRe6yeQ58MXoTKpmsifFP0/xcyZM/Hoo49i5MiRLgnLgQMH8Ktf/QoPP/ywXwMkOYVr5YLacSudnKn0OLKejy6JBozKTUWZhzkreq31E+jzoVaoTKom8jdFE2xbWlowYcIElJWVYdy4cejXrx8A4PDhw9ixYwcKCwvxwQcfuHS0DRROsNVXuFYuKB232smZSo8j6/mo+s9aP2VeVgOpoWTsWp0PpUJlUjWRNwK+NlBLSwueffZZbNy4EUePHoUQAn369MHMmTOxYMECGAzafTmYrOgvXCsXlIy78owV1zyzy+N7fbhwDHqnJ/l8HDX7a8Wpz0pcNLokuu+z4gtvx67l+VBCaVy+jINIbwFfGygmJgYPP/wwb/cQgPCtXFAybl8mZyr9fGU9HxnGOL8nJ+15O3Ytz4cSoTKpmigQfJrdZrPZcObMGbS1tTk9n5OT41NQRKFE1smv4UrW8xEqk6qJAkFVX/xvvvkGo0ePRnx8PHr06IFevXqhV69e6NmzJ3r16uXvGImCmn1ypjuhPBlZa+ZGGyrPWFFeVYfKs1aYG21u9/PlfHh7DDWUxsV/VxROFM9ZAYDCwkJER0ejuLgYmZmZListDx482G8BdoRzVihYyDr5NVRo1Qpfi5b+oTCpmqgzAZ9gCwCJiYn48ssvHdVAemGyQsFE1smvwU6LVvhaVt6EyqRqoo4EfIItAPTv3x81Ne5bTxORe7JOfg12WrTC13I5g1CZVE3kT17PWbFYLI6/1atX4+GHH8bOnTtRW1vrtK2jdvxERP7GdvtEoc/rKyspKSlOc1OEELjmmmuc9hFCICIiAq2trf6LkIioA1pUxbDyhkhfXicrH3/8cSDjICI3lK774tR8LT4aXRIC13xNlrVotGiFL+tyBkThQtUE26qqKmRnZ7tUAQkhcOLECc36rHCCLYUypdUnVbUNWLy5AnsC3NZexrVotKiKYeUNkf9oUg0UFRWFkydPIj093en52tpapKena3YbiMkKhSql1SenLU1Y+PZ+p0TFblRuKp6+eYjPV1hkX4tGi6oYVt4Q+Ycm1UD2uSntWa1WxMUFtqU2UThQWn1S12Bzm6gAQNmxWtQ12HxOVrSsiFFDi6oYVt4Q6UNRsrJw4UIAQEREBB577DEkJCQ4trW2tuKzzz7DkCFD/BogUThSvk7MhU7er+PtgYiJiMhfFCUr5eXlAC5eWamoqHBaYdlgMGDw4MF46KGH/BshURhSvk5MNBIMUZgzqhcKslPQfKENcTFR2FdVh9+XHYcxzvNX3dsJs6yIISK9KEpW7BVBd955J55//nnOEyEKkLQkA0bnpbm97TLaTfVJ10QD1s0ehjUfH8Oaj445ni/MTcW62cPQNdH9rQslE2ZZEUNEelG1kOH69euZqBAF2Nyrc1GYm+r0XGFuKuZeneuyb2x0JF76+JjLvJU9x2rx0s5KxEa7ftXNjTaXRAW4OP+kuPSgyyJ9pgQDVk3Ld1k8z14Rw7kcRBQoqibY3nTTTW6fj4iIQFxcHHJzczFz5kz07dvXp+CIwlWN1YY5JXsxZ1QvzCnsheYLbYiNjkT5iXOYU7IX7903yik5qLHa8ImHCbafeJj8qmbCbFZKPF6YUcCKGCLSlKpkxWg0YsuWLUhJScGPfvQjAMC+fftw7tw5TJgwAX/605+wevVqfPjhhygsLPRrwEThwNLUgkZbq9MtnUu5TrBVPvlV7YRZVsQQkdZUJSuXXXYZZs6ciTVr1iAy8uLl5ba2NsyfPx/Jycl46623cM8992DRokUoKyvza8BE4UD5BFvlk185YZaIgoWqZGXdunXYs2ePI1EBgMjISNx///0YOXIkVqxYgfvuuw+jR4/2+j1XrVqFxYsXY/78+XjuuefUhEUkNSWt8JVOZlUz+TUtyYDxV6ajb6bRpYLoyEmLXyfMKm3RL1tLfyLSl6pk5cKFCzh8+DD69Onj9Pzhw4cd3Wvj4uLcNo5zZ+/evXjllVeQn5+vJhwi6SlthW+fzOqpvXv7H26l+9tf89j1/bF4c4XT7SZ7XP5KDpS26Je1pT8R6UdVu/158+Zh06ZNeOSRR3DVVVcBuJhwrFixAjNnzsTzzz+P119/HSUlJZ3eBrJarRg6dCheeuklLF++HEOGDPH6ygrb7VMw8KUVvtL27kr216J9vtJjyN7Sn4j8Q5N2+88++ywyMjLw5JNP4vTp0wCAjIwMPPDAA1i0aBEAYMKECbj22ms7fa+5c+di8uTJGDduHJYvX97hvs3NzWhubnY8tlgsasIn0pQvrfCVTmZVsr8W7fOVHkP2lv5EpA9VyUpUVBSWLFmCJUuWOBKG9pmRNysvv/XWW9i3bx/27t3r1XFXrlyJZcuWKQ+YSEdatMJXQ4v2+cqXDWBLfyJypaop3KWMRqOqWzAnTpzA/Pnz8eabb3q9+OHixYthNpsdfydOnFB8XCKtddTq3pvtgaJFNZAWVU1EFPpUJSunT5/G7bffjqysLERHRyMqKsrpzxtffvklzpw5g6FDhyI6OhrR0dHYtWsXfve73yE6OtoxUfdSsbGxjuRIbZJEoc/caEPlGSvKq+pQedbq0olVa10SDRjVrhOt3ajcVHTx0AofCOxY7BVE7virfb7SY2gRExEFH1UTbCdNmoSqqircd999yMzMdKn6ufHGGzt9j/r6enz33XdOz915553o168fFi1ahIEDB3b6HpxgS+3JWklSVduARzZXoMzLaiBAm7GoiUup6nPnPVYpZXqoBlKyPxEFH6W/36qSleTkZHzyyScYMmSImhg9Gjt2LKuBSDXZK0mc+qzERaNLouc+K1pV6jz45wPod0mfFXtL/yMnLXhq+mC/fV6BrGoiouCjSTVQdnY2VOQ4RAEleyVJhjHOY3LSnlaVOjsOncGOQ2c8bvfX5xXIqiYiCn2qkpXnnnsOxcXFeOWVV9CzZ0+/BbNz506/vReFn1CqJJGxUoeISC+qkpVbbrkFjY2N6N27NxISEhAT4zxD/9///rdfgiNSQvZKEiUt5GWs1CEi0ovqKytEslGzPo5WlE6W1WIsMn9eRESXUjXBVhacYEvtyVhJonayrBZjkfHzIqLQp0k1EABUVlZi/fr1qKysxPPPP4/09HRs27YNOTk5GDBggJq3VIzJCrkjWyVJ5Rkrrnlml8ftHy4cg97pSW63aTEW2T4vIgp9mlQD7dq1C5MmTUJhYSF2796NJ554Aunp6Thw4ADWrVuHd955R83bEvmFbJUkvkxk1WIssn1eRETtqepgW1xcjOXLl+ODDz6AwfDD/8n99Kc/xaeffuq34IhCASeyEhH5RtWVlYqKCmzcuNHl+fT0dNTUuO8NQRSu0pIMGH9lOvpe0nwtLiYK+6rqcOSkhRNZiYg6oSpZSUlJwcmTJ9GrVy+n58vLy3H55Zf7JTCiUGFKMOCx6/tj8eYKrPnomON5e1t73oIhIuqYqttAt956KxYtWoRTp04hIiICbW1t2LNnDx566CHccccd/o6RKKiZG21YsuUr7Llk/R0AKDtWi0e3fKX7QotERLJTlaysWLEC/fr1Q3Z2NqxWK/r374+ioiKMHDkSS5Ys8XeMREHNm9b5RETkmarbQAaDAa+99hp+9atfoaKiAlarFQUFBcjLy/N3fERBj23tiYh8oypZscvOzkZ2drbj8cGDBzFs2DDYbPwvRSI7VgMREflG1W0gT4QQaG1t9edbEgU9e1t7dzpra29utKHyjBXlVXWoPGvl/BYiCks+XVkhos6ZEgxYNS3fY1t7T9VAStcTIiIKVUxWiDSQlRKPF2YUeN3W3txoc0lUgIsTcotLD3pcT4iIKBQpSlYsFkuH2+vr630KhiiUKWlr700FEZMVIgoXipKVlJQUREREeNwuhOhwOxF5hxVEREQ/UJSsfPzxx4GKg4guwQoiIqIfKEpWxowZE6g4KEyYG22osdpgaWqBMT4GaYlc8dcdewXRbje3gjqqIOLnS0ShyOtkpbP5KpcyGo2qgqHQxuoW76mpIOLnS0ShKkIIIbzZMTIystP5KPY5K1r1WrFYLDCZTDCbzUyQJGdutOG+TeVuJ40W5aWxusUD+5WSziqI+PkSUTBR+vvt9ZUVzlchX7C6RR1vK4j4+RJRKPM6WeF8FfIFq1sCi58vEYUyn5rCNTY2oqqqymUtoPz8fJ+CotDD6pbA4udLRKFMVbJy9uxZ3Hnnndi2bZvb7VwfiNpTW91C3uHnS0ShTNVChgsWLMC5c+fw2WefIT4+Hu+//z42bNiAvLw8bN261d8xUgiwV7e0X9Cvs/VxyDv8fIkolHldDXSpzMxM/OUvf8GPf/xjGI1GfPHFF+jTpw+2bt2KJ598EmVlZYGI1QWrgYKPt9UtpA4/XyIKBgGrBrpUQ0MD0tPTAQBdunTB2bNn0adPHwwaNAj79u1T85YUJpSsj0PK8fMlolCk6jZQ3759ceTIEQDA4MGD8corr+D777/Hyy+/jMzMTL8GSEREROFN1ZWV+fPn4+TJkwCApUuX4tprr8Wbb74Jg8GAkpISf8ZHklPa3p3t4ImISClVc1baa2xsxOHDh5GTk4O0tLTOX+AnnLOiL6Xt3dkOnoiIAOW/36puA/36179GY2Oj43FCQgKGDh2KxMRE/PrXv1bzlhRkzI02l8QDuNgttbj0IMyNNp/2JyIislOVrCxbtgxWq9Xl+cbGRixbtsznoEh+3rR392V/IiIiO1XJin3BwvYOHDiArl27+hwUyU9pe3e2gyciIrUUTbDt0qULIiIiEBERgT59+jglLK2trbBarbjnnnv8HiTJR2l7d7aDJyIitRQlK8899xyEEJgzZw6WLVsGk8nk2GYwGNCzZ0+MGDHC70GSfJS2d2c7eCIiUktVNdCuXbtQWFiI6Gif1kH0GauB9FV97jyKSw86JSD29u6ZHqqBlOxPREShSenvt+rS5crKSqxfvx6VlZV4/vnnkZ6ejm3btiEnJwcDBgxQ85aKMVnRn9L27mwHT0REmpQu79q1C4MGDcJnn32Gd99911EZdODAASxdulTNW1KQMiUY0Ds9CUNyuqB3elKniYfS/YmIiFQlK8XFxVi+fDk++OADGAw//Nj89Kc/xaeffuq34IiIiIhUJSsVFRWYOnWqy/Pp6emoqXHfS4OIiIhIDVXJSkpKimNtoEuVl5fj8ssv9zkoIiIiIjtVycqtt96KRYsW4dSpU4iIiEBbWxv27NmDhx56CHfccYe/YyQiIqIwpipZWbFiBa688krk5OTAarWif//+KCoqwsiRI/Hoo4/6O0YiIiIKY4oapbS1teG3v/0ttm7dCpvNhttvvx3Tpk2D1WpFQUEB8vLyAhUnERERhSlFycoTTzyBxx9/HOPGjUN8fDw2btwIIQR+//vfByo+IiIiCnOKbgP94Q9/wEsvvYTt27djy5YteO+99/Dmm2+ira1N1cHXrl2L/Px8GI1GGI1GjBgxAtu2bVP1XhS6zI02VJ6xoryqDpVnrTA3coVmIqJwoujKSlVVFa677jrH43HjxiEiIgLV1dXo3r274oN3794dq1atQl5eHoQQ2LBhA2688UaUl5dr1gWX5FZ97jwWlR7EJ+1a9K+alo8stugnIgoLiq6sXLhwAXFxcU7PxcTEoKWlRdXBb7jhBlx33XXIy8tDnz598MQTTyApKYmN5QjAxSsq7RMVANh9tAbFpQd5hYWIKEwourIihMDPf/5zxMbGOp5ramrCPffcg8TERMdz7777ruJAWltb8ec//xkNDQ0eV25ubm5Gc3Oz47HFYlF8HAoeNVabS6Jit/toDWqsNrbrJyIKA4qSldmzZ7s8d9ttt/kUQEVFBUaMGIGmpiYkJSVh8+bN6N+/v9t9V65ciWXLlvl0PAoelqaOr9jVd7KdiIhCg+pVl/3FZrOhqqoKZrMZ77zzDl5//XXs2rXLbcLi7spKdnY2V10OUZVnrLjmmV0et3+4cAx6pydpGBEREfmD0lWXFV1ZCQSDwYDc3FwAwI9+9CPs3bsXzz//PF555RWXfWNjY51uQVFoS0syoCgvDbvd3AoqyktDWhJvARERhQNVHWwDqa2tzenqCYUvU4IBq6bloygvzen5orw0rJ6Wz/kqRERhQtcrK4sXL8akSZOQk5OD+vp6bNy4ETt37sT27dv1DIskkpUSjxdmFKDGakN9UwuS42KQlmRgokJEFEZ0TVbOnDmDO+64AydPnoTJZEJ+fj62b9+O8ePH6xkWScaUwOSEiCic6ZqsrFu3Ts/DExERURCQbs4KERER0aWYrBAREZHUmKwQERGR1JisEBERkdSYrBAREZHUmKwQERGR1JisEBERkdSYrBAREZHUmKwQERGR1JisEBERkdSYrBAREZHUmKwQERGR1JisEBERkdSYrBAREZHUmKwQERGR1JisEBERkdSYrBAREZHUmKwQERGR1JisEBERkdSYrBAREZHUmKwQERGR1JisEBERkdSYrBAREZHUmKwQERGR1JisEBERkdSYrBAREZHUmKwQERGR1JisEBERkdSYrBAREZHUmKwQERGR1JisEBERkdSYrBAREZHUmKwQERGR1JisEBERkdSYrBAREZHUmKwQERGR1JisEBERkdSYrBAREZHUmKwQERGR1JisEBERkdSYrBAREZHUmKwQERGR1JisEBERkdSYrBAREZHUmKwQERGR1JisEBERkdR0TVZWrlyJq666CsnJyUhPT8eUKVNw5MgRPUMiIiIiyeiarOzatQtz587Fp59+ig8++AAtLS2YMGECGhoa9AyLiIiIJBIhhBB6B2F39uxZpKenY9euXSgqKup0f4vFApPJBLPZDKPRqEGERERE5Culv9/RGsTkNbPZDADo2rWr2+3Nzc1obm52PLZYLJrERURERPqRZoJtW1sbFixYgMLCQgwcONDtPitXroTJZHL8ZWdnaxwlERERaU2a20D33nsvtm3bhrKyMnTv3t3tPu6urGRnZ/M2EBERURAJyttA9913H/76179i9+7dHhMVAIiNjUVsbKyGkYUXc6MNNVYbLE0tMMbHIC3RAFOCQe+wpI2LiIi0oWuyIoTA/fffj82bN2Pnzp3o1auXnuGEtepz57Go9CA+OVrjeK4oLw2rpuUjKyWecRERkW50nbMyd+5cvPHGG9i4cSOSk5Nx6tQpnDp1CufPn9czrLBjbrS5JAQAsPtoDYpLD8LcaGNcRESkG12TlbVr18JsNmPs2LHIzMx0/P3pT3/SM6ywU2O1uSQEdruP1qDGqk9SIGtcRESkLd1vA5H+LE0tHW6v72R7oMgaFxERaUua0mXSjzEupsPtyZ1sDxRZ4yIiIm0xWSGkJRlQlJfmdltRXhrSkvSpvJE1LiIi0haTFYIpwYBV0/JdEoOivDSsnpavW5mwrHEREZG2pGkKpwbXBvIvez+T+qYWJMfFIC1Jjn4mssZFRETqBGVTOJKDKUHOJEDWuIiISBu8DURERERS45UVkp6M7fZPW5pQ12CDpekCjPHR6JJgQIYxTteYADk/KyIiXzFZIanJ2G6/qrYBizdXYM+xWsdzo3JTsWLqIOSkJuoSEyDnZ0VE5A+8DUTSkrHd/mlLk0uiAgBlx2rxyOYKnLY0aR4TIOdnRUTkL0xWSFoyttuva7C5JCp2ZcdqUdfApQmIiPyNyQpJS8Z2+5amCz5tDxQZPysiIn9hskLSkrHdvjGu42lenW0PFBk/KyIif+EE2xCmtDJEiwqX6nPnYT7fAsv5FpjiY2CMj/E4+TMtyYDxV6ajb6YRBdkpaL7QhriYKOyrqsORkxZd2u13STRgVG4qytzcChqVm4ouifouTbDbza0gLk1ARMGOHWxDlNLKEC0qXL6rbcAjbo7xxNRB6OHhGDJW3lT9ZxxlEsUEXDznxaUHnRIW+9IEmawGIiKJKP39ZrISgsyNNty3qdzthMuivDS8MKPA6QrLaUsTFr693+3E0VG5qXj65iE+X2GpPncev3zngMdjPPmzwS5JlNJxaMnpKlRcNLokytVnhUsTEJHM2G6fvKoMufQHzJsKF19/iM3nWzo8hvl8i0uyonQcWsowxkmRnLTHpQmIKBRxgm0IUloZokWFi+W88moVVrgQERHAKytBQ8lkWaWVIb5UuHg7YdYYr7xaRW2Fi5qJwjJORlaD7faJKBQxWQkCSifLKq0MUVvhomTCrCk+psNjmNwkM2lJBozOS3N7K2i0hwoXNRNyZZyMrAbb7RNRqOJtIMmpaaNuSjBg1bR8FOWlOT1vrwxp/1/aGcY4rJg6CKNyU52et/8Au7tiUH3uvEuiAlycf7JkcwWqz513ej7REIXlU9wfY/mUQUg0RLkco9HWiv8Z2xuF7V5TmJuK/xmbi0Zbq9PzalrhK/182W6fiEh7vLIiObWTTLNS4vHCjAKvK0NyUhPx9M1DvK5wUTphtsZqw8/Xf44XZw3FI1GRqD/fguT4GFxobcPt6z5DyZ0/dont3PkW3LXhC8wZ1QtzCnuh+UIbYqMjUX7iHO7asBel9450KslVM1FYxsnIasg8GZmIyFdMViTnyyRTpZUhSipclE6YtTS14ETdefzXmj1e7W8/RqOtFWs+OublMZRPFJZxMrIanIxMRKGMt4EkJ2sbdaUTZtWMQ/kxlE8U1nIyciDJ+u+EiMgfeGXFDwJZgZGWZMD1gy7D1KHdkW6MhbWpFclx0ThtacLmff/yaxt1JRUuSifMqmmdr/QYaiYKazUZGQj8vxO22yeiUMUOtj7SogJDTZt6pdRUuHxX24AlbtrOe4pLzTjUHEPJ/oDyNvVq2u1r8e+E7faJKFiw3b6GtGgHr0UrfDXHMDfasOy9r/Hzwl6IbjdhtmTPcSy9YYBLS/8H397v8YqEu2OctjRh5d//D3NGXeFyjPVl36L4uv5OrzE32vDgnw+g3yVXb+wTco+ctOCp6YM9ng+lbeqVtNvXctkAttsnomDAdvsa0qICQ4vqE7VVNO+WV+Pd8mq3r5t7dZ5LFY27RKWjY9Q12LBl/0ls2X/S7ev+e0yu02tqrDbsOHQGOw6dcbt/R+cjkJORtazUYbt9IgpFnGDrAy0qMDRphS9pFY3S18haESNrXEREwYLJig+0qMDQovpE1ioapa+RtSJG1riIiIIFbwP5wJdKHW8rQ7SoPpG1ikbpa7SsiFFS2aOmEoqIiH7ACbY+UlPhomYtmkBXn6g9hpLqEzWVOkrj0qIiRk1lj6zrCRER6YHVQBpSW0WjpjJEi+oTJce49FjeVJ/4UqmjNK5AVsSo+Wy1rAYiIgoGrAbSkBZr0dhpUX2i5Bh23laf+FKpozSuQFbEqPlsuW4PEZFvOMHWB1pU0aghY/WJjDGpoWYcoTJ2IiK9MFnxgRZVNGrIWH0iY0xqqFrjKETGTkSkFyYrPrBXq7jTWRWNO/6qWNHiGErJGJMaasYh+9jNjTZUnrGivKoOlWetMDfadI2HiKg9Jis+yDDGYcXUQS4Ji73Kw908C1OCAaum5bv8eNkrVvwxd0GLY6iJafmUgW4/q+VTBgbNnA01n62M58Ou+tx53LepHNc8swtTX/oHrnl6F+7fVI7qc+d1i4mIqD1WA/lBIKtofCHTOjG+VAPJSM1nK9P5sMfDKiUi0gOrgXQQyCoaX8i0Towv1UAyUvPZynQ+AFYpEVHw4G0g0gQrYuTDc0JEwYJXVtxQ0kqdvMOKGPnwnBBRsGCy0o6aVurUOS3X7SHv8JwQUbDgbaBLmBttLokKcPH+fXHpQZZ0+kDmiphwxXNCRMGCV1YuwQmHgZWVEo8XZhRIVRET7nhOiCgYMFm5BCccBp5sFTHEc0JE8uNtoEtwwiEREZF8dE1Wdu/ejRtuuAFZWVmIiIjAli1b9AxH6rbobIlOREThStfbQA0NDRg8eDDmzJmDm266Sc9QAPww4bC49KBThYTeEw5ZoUREROFMmnb7ERER2Lx5M6ZMmeL1awLVbl+mtuhsiU5ERKEmpNvtNzc3o7m52fHYYrEE5DgyTThkhRIREYW7oJpgu3LlSphMJsdfdna23iEFHCuUiIgo3AVVsrJ48WKYzWbH34kTJ/QOKeBYoUREROEuqG4DxcbGIjY2Vu8wNMWW6EREFO6C6spKOGJLdCIiCne6XlmxWq04duyY4/Hx48exf/9+dO3aFTk5OTpGJhe2RCcionCma+nyzp07cfXVV7s8P3v2bJSUlHT6+kCVLhMREVHgBFXp8tixYyFJmxciIiKSFOesEBERkdSYrBAREZHUmKwQERGR1JisEBERkdSYrBAREZHUmKwQERGR1JisEBERkdSYrBAREZHUmKwQERGR1IJq1eX27N1vLRaLzpEQERGRt+y/2952sQ/qZKW+vh4AkJ2drXMkREREpFR9fT1MJlOn++m6kKGv2traUF1djeTkZEREROgdjmIWiwXZ2dk4ceJEWC3EGK7jBjj2cBx7uI4b4NjDcezejlsIgfr6emRlZSEysvMZKUF9ZSUyMhLdu3fXOwyfGY3GsPrHbBeu4wY49nAce7iOG+DYw3Hs3ozbmysqdpxgS0RERFJjskJERERSY7Kio9jYWCxduhSxsbF6h6KpcB03wLGH49jDddwAxx6OYw/UuIN6gi0RERGFPl5ZISIiIqkxWSEiIiKpMVkhIiIiqTFZISIiIqkxWdHAqlWrEBERgQULFnjcp6SkBBEREU5/cXFx2gXpJ48//rjLOPr169fha/785z+jX79+iIuLw6BBg/D3v/9do2j9S+nYQ+Wc233//fe47bbbkJqaivj4eAwaNAhffPFFh6/ZuXMnhg4ditjYWOTm5qKkpESbYP1I6bh37tzpct4jIiJw6tQpDaP2Xc+ePd2OY+7cuR5fEyrfdaVjD5XvemtrKx577DH06tUL8fHx6N27N37zm990ur6PP77nQd3BNhjs3bsXr7zyCvLz8zvd12g04siRI47HwbiEAAAMGDAAO3bscDyOjvb8z+wf//gHZsyYgZUrV+L666/Hxo0bMWXKFOzbtw8DBw7UIly/UjJ2IHTOeV1dHQoLC3H11Vdj27Zt6NatG44ePYouXbp4fM3x48cxefJk3HPPPXjzzTfx4Ycf4u6770ZmZiYmTpyoYfTqqRm33ZEjR5w6fKanpwcyVL/bu3cvWltbHY+/+uorjB8/HtOnT3e7fyh915WOHQiN7/rq1auxdu1abNiwAQMGDMAXX3yBO++8EyaTCfPmzXP7Gr99zwUFTH19vcjLyxMffPCBGDNmjJg/f77HfdevXy9MJpNmsQXK0qVLxeDBg73e/+abbxaTJ092em748OHiv//7v/0cWeApHXuonHMhhFi0aJEYNWqUotc8/PDDYsCAAU7P3XLLLWLixIn+DC2g1Iz7448/FgBEXV1dYILSyfz580Xv3r1FW1ub2+2h9F1vr7Oxh8p3ffLkyWLOnDlOz910001i1qxZHl/jr+85bwMF0Ny5czF58mSMGzfOq/2tVit69OiB7Oxs3Hjjjfj6668DHGFgHD16FFlZWbjiiiswa9YsVFVVedz3n//8p8vnM3HiRPzzn/8MdJgBoWTsQOic861bt2LYsGGYPn060tPTUVBQgNdee63D14TCuVczbrshQ4YgMzMT48ePx549ewIcaWDZbDa88cYbmDNnjscrBqFwvt3xZuxAaHzXR44ciQ8//BDffPMNAODAgQMoKyvDpEmTPL7GX+edyUqAvPXWW9i3bx9Wrlzp1f59+/bF73//e/zlL3/BG2+8gba2NowcORL/+te/Ahypfw0fPhwlJSV4//33sXbtWhw/fhyjR49GfX292/1PnTqFjIwMp+cyMjKC7v49oHzsoXLOAeDbb7/F2rVrkZeXh+3bt+Pee+/FvHnzsGHDBo+v8XTuLRYLzp8/H+iQ/ULNuDMzM/Hyyy+jtLQUpaWlyM7OxtixY7Fv3z4NI/evLVu24Ny5c/j5z3/ucZ9Q+q5fypuxh8p3vbi4GLfeeiv69euHmJgYFBQUYMGCBZg1a5bH1/jte67oOgx5paqqSqSnp4sDBw44nuvsNlB7NptN9O7dWzz66KMBiFA7dXV1wmg0itdff93t9piYGLFx40an51588UWRnp6uRXgB1dnY2wvmcx4TEyNGjBjh9Nz9998vfvKTn3h8TV5enlixYoXTc3/7298EANHY2BiQOP1NzbjdKSoqErfddps/Q9PUhAkTxPXXX9/hPqH6Xfdm7O0F63d906ZNonv37mLTpk3i4MGD4g9/+IPo2rWrKCkp8fgaf33PeWUlAL788kucOXMGQ4cORXR0NKKjo7Fr1y787ne/Q3R0tNPELE/sWeuxY8c0iDhwUlJS0KdPH4/juOyyy3D69Gmn506fPo3LLrtMi/ACqrOxtxfM5zwzMxP9+/d3eu7KK6/s8DaYp3NvNBoRHx8fkDj9Tc243fnxj38clOcdAL777jvs2LEDd999d4f7heJ33duxtxes3/Vf/vKXjqsrgwYNwu23344HHnigwzsI/vqeM1kJgGuuuQYVFRXYv3+/42/YsGGYNWsW9u/fj6ioqE7fo7W1FRUVFcjMzNQg4sCxWq2orKz0OI4RI0bgww8/dHrugw8+wIgRI7QIL6A6G3t7wXzOCwsLnSodAOCbb75Bjx49PL4mFM69mnG7s3///qA87wCwfv16pKenY/LkyR3uFwrnuz1vx95esH7XGxsbERnpnDZERUWhra3N42v8dt5VXw8iRdrfBrr99ttFcXGx4/GyZcvE9u3bRWVlpfjyyy/FrbfeKuLi4sTXX3+tQ7TqPfjgg2Lnzp3i+PHjYs+ePWLcuHEiLS1NnDlzRgjhOu49e/aI6Oho8dRTT4lDhw6JpUuXipiYGFFRUaHXEFRTOvZQOedCCPH555+L6Oho8cQTT4ijR4+KN998UyQkJIg33njDsU9xcbG4/fbbHY+//fZbkZCQIH75y1+KQ4cOiRdffFFERUWJ999/X48hqKJm3M8++6zYsmWLOHr0qKioqBDz588XkZGRYseOHXoMwSetra0iJydHLFq0yGVbKH/XhVA29lD5rs+ePVtcfvnl4q9//as4fvy4ePfdd0VaWpp4+OGHHfsE6nvOZEUj7ZOVMWPGiNmzZzseL1iwQOTk5AiDwSAyMjLEddddJ/bt26d9oD665ZZbRGZmpjAYDOLyyy8Xt9xyizh27Jhje/txCyHE22+/Lfr06SMMBoMYMGCA+Nvf/qZx1P6hdOyhcs7t3nvvPTFw4EARGxsr+vXrJ1599VWn7bNnzxZjxoxxeu7jjz8WQ4YMEQaDQVxxxRVi/fr12gXsJ0rHvXr1atG7d28RFxcnunbtKsaOHSs++ugjjaP2j+3btwsA4siRIy7bQvm7LoSysYfKd91isYj58+eLnJwcERcXJ6644gqxZMkS0dzc7NgnUN/zCCE6aT1HREREpCPOWSEiIiKpMVkhIiIiqTFZISIiIqkxWSEiIiKpMVkhIiIiqTFZISIiIqkxWSEiIiKpMVkhIiIiqTFZISK/ioiIwJYtW/QOwyvBFCtROGOyQhQizp49i3vvvRc5OTmIjY3FZZddhokTJ2LPnj26xiVDQvD4449jyJAhql9fWlqKsWPHwmQyISkpCfn5+fj1r3+Nf//73/4Lkog8YrJCFCKmTZuG8vJybNiwAd988w22bt2KsWPHora2Vu/QgtqSJUtwyy234KqrrsK2bdvw1Vdf4emnn8aBAwfwxz/+Ue/wiMKDT6saEZEU6urqBACxc+fODve56667RFpamkhOThZXX3212L9/v2P70qVLxeDBg8XLL78sunfvLuLj48X06dPFuXPnHPt8/vnnYty4cSI1NVUYjUZRVFQkvvzyS6fjABCbN2/2+Li91157TfTr10/ExsaKvn37ihdffNGx7fjx4wKAKC0tFWPHjhXx8fEiPz9f/OMf/3B6j1dffdUR85QpU8TTTz8tTCaTEEKI9evXCwBOf/aF1ACI1157TUyZMkXEx8eL3Nxc8Ze//MXxvp999pkAIJ577jmPn+mln926detEdna2SExMFPfee6+4cOGCWL16tcjIyBDdunUTy5cv9/g5EJFnTFaIQkBLS4tISkoSCxYsEE1NTW73GTdunLjhhhvE3r17xTfffCMefPBBkZqaKmpra4UQF39wExMTxU9/+lNRXl4udu3aJXJzc8XMmTMd7/Hhhx+KP/7xj+LQoUPi//7v/8Rdd90lMjIyhMViceyjJFl54403RGZmpigtLRXffvutKC0tFV27dhUlJSVCiB+SlX79+om//vWv4siRI+JnP/uZ6NGjh2hpaRFCCFFWViYiIyPFb3/7W3HkyBHx4osviq5duzqSlcbGRvHggw+KAQMGiJMnT4qTJ0+KxsZGR2zdu3cXGzduFEePHhXz5s0TSUlJjs/E/thms3X4+S9dulQkJSWJn/3sZ+Lrr78WW7duFQaDQUycOFHcf//94vDhw+L3v/+9ACA+/fTTDt+LiFwxWSEKEe+8847o0qWLiIuLEyNHjhSLFy8WBw4cEEII8cknnwij0eiSyPTu3Vu88sorQoiLP7hRUVHiX//6l2P7tm3bRGRkpDh58qTbY7a2tork5GTx3nvvOZ5Tkqz07t1bbNy40em53/zmN2LEiBFCiB+Slddff92x/euvvxYAxKFDh4QQQtxyyy1i8uTJTu8xa9YsR7JiH9vgwYNdjg9APProo47HVqtVABDbtm0TQggxadIkkZ+f7zb2Sy1dulQkJCQ4JW0TJ04UPXv2FK2trY7n+vbtK1auXNnp+xGRM85ZIQoR06ZNQ3V1NbZu3Yprr70WO3fuxNChQ1FSUoIDBw7AarUiNTUVSUlJjr/jx4+jsrLS8R45OTm4/PLLHY9HjBiBtrY2HDlyBABw+vRp/OIXv0BeXh5MJhOMRiOsViuqqqoUx9vQ0IDKykrcddddTjEtX77cKSYAyM/Pd/zvzMxMAMCZM2cAAEeOHMGPf/xjp/3bP+7Ipe+dmJgIo9HoeG8hhNfv07NnTyQnJzseZ2RkoH///oiMjHR6zv7eROS9aL0DICL/iYuLw/jx4zF+/Hg89thjuPvuu7F06VL8z//8DzIzM7Fz506X16SkpHj9/rNnz0ZtbS2ef/559OjRA7GxsRgxYgRsNpviWK1WKwDgtddew/Dhw522RUVFOT2OiYlx/O+IiAgAQFtbm+JjunPpe9vf3/7effr0QVlZGVpaWlz28+Z9OnpvIvIer6wQhbD+/fujoaEBQ4cOxalTpxAdHY3c3Fynv7S0NMf+VVVVqK6udjz+9NNPERkZib59+wIA9uzZg3nz5uG6667DgAEDEBsbi5qaGlWxZWRkICsrC99++61LTL169fL6ffr27Yu9e/c6Pdf+scFgQGtrq+IYZ86cCavVipdeesnt9nPnzil+TyJSjldWiEJAbW0tpk+fjjlz5iA/Px/Jycn44osv8OSTT+LGG2/EuHHjMGLECEyZMgVPPvkk+vTpg+rqavztb3/D1KlTMWzYMAAXr8zMnj0bTz31FCwWC+bNm4ebb74Zl112GQAgLy8Pf/zjHzFs2DBYLBb88pe/RHx8fKfxHT9+HPv373d6Li8vD8uWLcO8efNgMplw7bXXorm5GV988QXq6uqwcOFCr8Z+//33o6ioCM888wxuuOEGfPTRR9i2bZvjCgxw8RaNPYbu3bsjOTkZsbGxnb738OHD8fDDD+PBBx/E999/j6lTpyIrKwvHjh3Dyy+/jFGjRmH+/PlexUlE6vHKClEISEpKwvDhw/Hss8+iqKgIAwcOxGOPPYZf/OIXWLNmDSIiIvD3v/8dRUVFuPPOO9GnTx/ceuut+O6775CRkeF4n9zcXNx000247rrrMGHCBOTn5ztdVVi3bh3q6uowdOhQ3H777Zg3bx7S09M7jW/hwoUoKChw+isvL8fdd9+N119/HevXr8egQYMwZswYlJSUKLqyUlhYiJdffhnPPPMMBg8ejPfffx8PPPAA4uLiHPtMmzYN1157La6++mp069YNmzZt8vr9V69ejY0bN+Kzzz7DxIkTMWDAACxcuBD5+fmYPXu21+9DROpFCCUzyIgoZD3++OPYsmWLyxWQYPSLX/wChw8fxieffKJ3KETkB7wNRERB76mnnsL48eORmJiIbdu2YcOGDR7nmRBR8GGyQkRB7/PPP8eTTz6J+vp6XHHFFfjd736Hu+++W++wiMhPeBuIiIiIpMYJtkRERCQ1JitEREQkNSYrREREJDUmK0RERCQ1JitEREQkNSYrREREJDUmK0RERCQ1JitEREQktf8P7RqBICTX4ywAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Adding hue on species to discern better`"
      ],
      "metadata": {
        "id": "qLMSMb4xIj0N"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.scatterplot(x=\"SepalLengthCm\", y=\"PetalLengthCm\", data=iris, hue='Species')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "d42Cxj0JIT7e",
        "outputId": "1f53f10d-926b-4773-ed0f-94b096a6d9fb"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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Hq9XSrl071WvpdDosFovdsW7dulXmvpweXdm7dy/5+fl079698rzOnTvTuXNn7rzzTqZPn86HH37IJZdcwrp165g0aRJXXXUVAFarlYMHD9o9VwghRONLL07nvrX3sSVzS+WxWP9Y3hr7Fh1COrilTzKyUo1gPx1PX9qbEUkRdsdHJEXwzKW93bZ8uaoXX3yRTz/9lP3793Pw4EG+/PJLYmJiCAkJqfP5Y8eOZciQIUyePJlff/2VY8eOsX79eh544IHKlTvt2rUjOTmZ7du3k52djclkYuzYsfTq1YsZM2awdetW/vrrL2bOnMnIkSMZOHAgpaWlzJkzh9WrV3P8+HHWrVvH5s2b6datG6Dkr6xYsYL169ezb98+br75ZruVREIIIRpfsbmY5zY/ZxeoAKQVp3HLylvIKHHPv8syslKDuBADr03vR7bRTFFZOYG+PkQEuK/OiprAwECeffZZDh06hLe3N4MGDeLHH3/Ey0s9Fq3p/B9//JEHHniA6667jqysLGJiYhgxYgTR0couoJdeeinLli1j9OjR5Ofn8+GHH3LttdfyzTffcNtttzFixAi8vLy44IILeO211wDw9vYmJyeHmTNnkpGRQUREBFOmTOGxxx4D4MEHH+To0aOMGzcOPz8/brrpJiZPnkxBQfVbpgshhHCdnLIcVqasVG1LK04joziDaD/HHaEbm8ZmszXbmr6FhYUEBwdTUFBAUFCQXVtZWRnJycm0b98eX19fN/VQNEfysyOEaK0O5h7k0u+cV9Z9adRLjE0c2+DrVPf5rUamgYQQQrQaFquFsooyrDaru7vikfx9/PH1dv5HWnxgvNO2xiTTQEIIIVo8U4WJVGMqXx36isP5h+kV0YuJHSfSxr8NWm/5KDwt0i+SmT1m8s7Odxza+kf1J9IQ6YZeSbAihBCihauwVrA5fTNzfpuDxaasZFyfup6Fexby3vnv0Teqr3s76EF03jqu7Hol2OCjvR9RZinDS+PFmIQx3DvoXsIMYW7plwQrQgghWrSskizm/TGvMlA5zWQxMW/tPD6+8GOi/BxLPLRW4YZwbu5zM1OSpmAsN2LQGgj3DcdfV33Nr8YkwYoQQogWLas0i0JzoWpbanEq+WX5EqxUofPW0Sawjbu7UUkSbIUQQrRoFdaKaturjrgIzyPBihBCiBYt2i8anZd6baxgfTChvqFN3CNRVxKsCCGEaNHCDeHcOeBO1bYHz3qQCEOEapvwHJKzIoQQokXz1foyseNEOoZ0ZMH2BaQUpZAUmsScvnPoGNIRrZd8FHo6GVlppjQaDcuXL3d3N+qkXbt2vPzyyx77ekKIlitYH8yQuCG8NuY1vpj4BS+OfJE+UX0I0AW4u2uiFiSc9EDXXnst+fn51QYjaWlphIY2r3nWzZs34+/vvqVvQggRrA92dxdEPUiwUhuleVCcBWWF4BsM/hFgcE+gYDab0el0xMTEuOX6zpzuV3UiI91T+dCZ2vRZCCGE+8k0UE0KTsGX18Prg+C9MfD6QPjqBuV4Exg1ahRz5sxh7ty5REREMG7cOMB+GshsNjNnzhxiY2Px9fUlMTGR+fPnq77ewYMH0Wg07N+/3+74Sy+9RMeOHSu/3r17N+PHjycgIIDo6GiuvvpqsrOzq+2XzWbj0UcfJSEhAb1eT1xcHLfffnvlc6pO2+Tn53PzzTcTHR2Nr68vPXv25Pvvv69sX7p0KT169ECv19OuXTteeOGFat+rlJQUJk2aREBAAEFBQVxxxRVkZPy7nfmjjz5K3759ee+992STQiGaObPFTKoxlZ1ZO9mTvYf04vQalyjXVbmlnFRjKruydrE7ezdpxjSXX6M+CkwFJBcksz1zO0fyj5BXlufuLjU6GVmpTmkefDMHjv5mf/zIKvj2Nrjs/SYZYVm0aBGzZs1i3bp1qu2vvvoq3377LV988QUJCQmcOHGCEydOqJ7buXNnBg4cyOLFi3niiScqjy9evJgrr7wSUIKIc889lxtvvJGXXnqJ0tJS5s2bxxVXXMFvv/37XlTt19KlS3nppZf47LPP6NGjB+np6ezYsUO1H1arlfHjx1NUVMQnn3xCx44d2bt3L97e3gBs2bKFK664gkcffZSpU6eyfv16br31VsLDw7n22mtVX+90oLJmzRoqKiqYPXs2U6dOZfXq1ZXnHT58mKVLl7Js2bLKawkhmpcicxErjq/g6b+eprSiFFCmd5455xkGRg9Er9U3+BrF5cWsPbmWxzY8RnF5MQCBPoE8MewJhrQZgp/Wr8HXqI+M4gwe3/g4a0+urTzWO6I3z458ljYBnlPEzdUkWKlOcZZjoHLakVVKexMEK0lJSTz77LNO21NSUkhKSmL48OFoNBoSExOrfb0ZM2bw+uuvVwYrBw8eZMuWLXzyyScAvP766/Tr14+nnnqq8jkffPAB8fHxHDx4kM6dO6v264cffiAmJoaxY8fi4+NDQkICgwcPVu3DypUr+euvv9i3b1/l63Xo0KGy/cUXX2TMmDE89NBDgBJk7d27l+eee041WFm1ahW7du0iOTmZ+HhlV9CPPvqIHj16sHnzZgYNGgQoo1AfffSRx01JCSFq71DeIR5Z/4jdsQJTAbNXzWbZxcvoENLByTNr71jBMe5de6/dsaLyIu5cfSdfTfyKzmGdG3yNujKajTy7+Vm7QAVgZ/ZO7lp9F2+OedNte/c0NpkGqk6ZennmWre7yIABA6ptv/baa9m+fTtdunTh9ttv59dff61su+WWWwgICKh8AEybNo1jx46xceNGQBlV6d+/P127dgVgx44d/P7773bPO9125MgRp/26/PLLKS0tpUOHDvzf//0fX3/9NRUV6kOm27dvp23btpWBSlX79u1j2LBhdseGDRvGoUOHsFgcq03u27eP+Pj4ykAFoHv37oSEhLBv377KY4mJiRKoCNGMFZmLWLBjgWqbxWbhy4NfNniqpqS8hPd2vafaZsPGR3s/wlRhatA16iOnLIcVx1eotu3J2UNOWU4T96jpSLBSHd+ghrW7SE0raPr3709ycjJPPPEEpaWlXHHFFVx22WUAPP7442zfvr3yARATE8O5557LkiVLAFiyZAkzZsyofD2j0cjEiRPtnrd9+3YOHTrEiBEjnPYrPj6eAwcO8Oabb2IwGLj11lsZMWIE5eXlDn02GAz1ei8aSlYjCdG8lVWUcazwmNP2g3kHMVvMDb5GcmGy0/bD+Ycps5Q16Br1UVxejA2b03YJVlor/0joOEa9reMYpd1DBAUFMXXqVN59910+//xzli5dSm5uLlFRUXTq1KnycdqMGTP4/PPP2bBhA0ePHmXatGmVbf3792fPnj20a9fO7rmdOnWq8cPeYDAwceJEXn31VVavXs2GDRvYtWuXw3m9e/fm5MmTHDx4UPV1unXr5pCjs27dOjp37qyaa9KtWzeHXJ29e/eSn59P9+7dq+2zEKL5MGgNdAxWFgOE6EMY0XYEw9sMx6BV/gDqFt4NvXfDclYMPgY6BXdy2t45tHPl9ZpSgE8AXhrnH9sRvi23Eq8EK9UxhMLFrzkGLB3HKMfdtHy5qhdffJFPP/2U/fv3c/DgQb788ktiYmIICQlx+pwpU6ZQVFTErFmzGD16NHFxcZVts2fPJjc3l+nTp7N582aOHDnCL7/8wnXXXac6BXPawoULef/999m9ezdHjx7lk08+wWAwqObQjBw5khEjRnDppZeyYsUKkpOT+emnn/j5558BuOuuu1i1ahVPPPEEBw8eZNGiRbz++uvcfffdqtceO3YsvXr1YsaMGWzdupW//vqLmTNnMnLkSAYOHFjLd1K0FkazkUN5h3h166s8su4R1p5cS2ZJpru7JWohQBfArX1u5f7B93Pf4PsI8w0j1j+WJ4c/ya19buWypMvw9mpY8rxBa+CGXjegQePQ5q3xZmb3mei8m77sQbhvOOPbjVdt6xvZt8Xmq4AHBCunTp3iqquuIjw8HIPBQK9evfj777/d3a1/BbdRVv3M2Qw3rlL+/7L3leMeIjAwkGeffZaBAwcyaNAgjh07xo8//oiXl/Nvb2BgIBMnTmTHjh12U0AAcXFxrFu3DovFwvnnn0+vXr2YO3cuISEh1b5mSEgI7777LsOGDaN3796sXLmS7777jvDwcNXzly5dyqBBg5g+fTrdu3fn3nvvrQyG+vfvzxdffMFnn31Gz549efjhh3n88cdVk2tBWcr9zTffEBoayogRIxg7diwdOnTg888/r+HdE61NkbmIZYeWMeXbKby7612WHV7G7FWzuXnFzaQXp7u7e6IWIv0j+S3lN+774z6WH17Olwe/5D+r/0NGSYbLKtImBiXy8uiX7YrIhfmG8fq5r9M2sK1LrlFX/jp//jPwP4xLHGcXSJ0VcxbPjniWMN+WG6xobDab8wmwRpaXl0e/fv0YPXo0s2bNIjIykkOHDtGxY0e7mh/OFBYWEhwcTEFBAUFB9vkjZWVlJCcnSz0NUWfys9OyHck/wuRvJqu2zew+k7n95+Lj7dO0nRJ1suzQMofVQKd9OO5DBsa4ZjS1wlpBdmk2uWW5aNAQ6htKlF9UtVMxTaHIXERuWS6F5kICfAII04cR7Nu8KvNW9/mtxq1Ll5955hni4+P58MMPK4+1b9/e6fkmkwmT6d8M7MLCplmNI4RoOX499qvTtq8OfsXM7jOJ9o9uwh6JusgtzeWTvZ84bV+8bzG9Inq5pNaK1ktLjH8MMf6eVTE8UBdIoC7Q3d1oUm4ND7/99lsGDhzI5ZdfTlRUFP369ePdd991ev78+fMJDg6ufJy5TFUIIWqjwFTgtK20ohQr1ibsjagri81SWaRNjbHciNUm38OWxq3BytGjR1mwYAFJSUn88ssvzJo1i9tvv51Fixapnn///fdTUFBQ+XBWpVUIIZwZnTDaadtZsWfhr235y9tLykvIKM4gqyTLoz7Yc0tzySjOqDagDNYHMzJ+pNP2ce3GYfBxT2kE0XjcOg1ktVoZOHBgZaXUfv36sXv3bt566y2uueYah/P1ej16fcOH9oQQrVeH4A70iujFrmz7JfVaLy13DbiLIH3T1E9yhwprBSeKTvDWjrf489Sf+Pn4Mb3LdC7qcBFR/lFu61deWR6b0zfz1o63SCtOo0toF+7ofwdJYUkE+NgnzOq8dVzd7Wq+P/I9ReVFdm1x/nEMi7MvJilaBreOrMTGxjrUwOjWrRspKSlu6pEQoqWL9IvkpdEvMavPLEL0IXhrvBkWN4zPJnzmkjLtniylMIWp30/lx+QfKTQXkl6czktbX+I/q/9DVkmWW/pkNBtZtGcRd625i0P5hzCWG9mSuYWZP89kQ+oG1ZGfNoFtWHLREi5sfyE+Xj74af2Y1nUaH17wIbEBsW64C9HY3DqyMmzYMA4cOGB37ODBgzXubSOEEA0R7RfNTb1v4tKkS7Fhw1/rT6C+ZScsFpcX8+q2Vys3/jvTjuwdHM4/TKRf0xe6zC3L5cM9H6q2PbnxSXpH9HZIePbSeNEuqB2PDHmEOwfcWblSxx21T0TTcOvIyp133snGjRt56qmnOHz4MEuWLOGdd95h9uzZ7uyWEKIV0HppifaPJsY/psUHKqAsd626Ad6Zfkr+qQl786/kwmSneTM5ZTkUmJ3nr/j5+BHjH0O0f7QEKi2cW4OVQYMG8fXXX/Ppp5/Ss2dPnnjiCV5++WWHImVCCCEaRoOm2hLxriqmVlcG7+qTYbUat04ACA/h9p+Ciy66iIsuusjd3RBCCJfLK8sjrywPk8VEsD6YSEOkywvO5ZvyySvLo6yijCBdEBF+Eap744T5hjElaQoL9yxUfZ2LO1zs0n7VVtvAthi0BtXpqc6hnQnRh6g+z2qzklmSSb4pH2+NNyH6ELdMY4mm4fZy+6J+NBoNy5cvb5TXXr16NRqNhvz8/Aa/Vl37uXDhwmr3NBKiuThWcIxbVt7CpG8mccX3V3DJN5ewZP8S8svyXXaNE0UnuG3VbVy8/GKu+P4KJn8zmQ92f0BuWa7DuT7ePszoNoP2wY6FN6/veb3bElMjDZE8N+I5vDX2+/kE+gTy1PCnVPe7KSkvYc2JNUz7fhqXf3c5U76dwsyfZrI9czsVloqm6rpoQm4tt99QLbXc/rXXXkt+fn61H/Lp6emEhoY2ylJus9lMbm4u0dHRaDSOG3nVRV37WVpaSlFREVFR7ltG2Zx/doRnSC9O58ofriSr1HGFzf+G/Y9JnSY1+BqZJZlc89M1nDSedGibN2ge07tOV93QL6M4g13Zu/jh6A8E64O5rPNltA1s63QEoymYKkykFqfy/ZHvOVxwmEHRgxgdP5rYgFjV0va7s3dz5Q9XYsP+40vnpWPZpGUkBskiDU/XrMrtNxcFpgJyy3IpMhcRqAskzDfMbnOrpmQ2m9HpdMTENF7555pe32KxoNFoqt3U8LS69tNgMGAwSEEn0bwdyD2gGqgAvLbtNYbEDSHKr2EB+bGCY6qBCsDbO99mbOJY1TLx0f7RRPtHMzp+NF4arwb/QeIKeq2e9sHtua3/bVRYK9B6Of9oKjYX89b2txwCFQCz1czyw8uZ03dOg3deFp5FpoFqkF6czr1r7+Xi5Rcz48cZXLz8Yuatnddku7OOGjWKOXPmMHfuXCIiIhg3bhxgP71iNpuZM2cOsbGx+Pr6kpiYyPz581Vf7+DBg2g0Gvbv3293/KWXXqrcPLLqNNDpqZlvv/2W7t27o9frSUlJIS0tjQkTJmAwGGjfvj1LliyhXbt2vPzyy5Wve2Y/jx07hkajYdmyZYwePRo/Pz/69OnDhg0bKs9Xmwb67rvvGDRoEL6+vkRERHDJJZdUtn388ccMHDiQwMBAYmJiuPLKK8nMzKzr2yyES+3J2eO0LaMkA5PF5LS9tg7mHXTalm/Kp6yirNrne3t5e0SgUlV1gQpASUUJB/IPOG3fmbXTJe+v8CwSrFSjwFTAI+sfYX3qervj61LX8ej6R6stCe1KixYtQqfTsW7dOt566y2H9ldffZVvv/2WL774ggMHDrB48WLatWun+lqdO3dm4MCBLF682O744sWLufLKK532oaSkhGeeeYb33nuPPXv2EBUVxcyZM0lNTWX16tUsXbqUd955p1aBwgMPPMDdd9/N9u3b6dy5M9OnT6eiQn2e+YcffuCSSy7hwgsvZNu2baxatYrBgwdXtpeXl/PEE0+wY8cOli9fzrFjx7j22mtr7IMQjalDsPPiciH6EHReDV9me+ZUxzltzuHSpEtJDFSO+Wn9WuxSXl+tL20D2jptbx/c3iXvr/AsMg1UjdyyXIdA5bR1qevILcttkumgpKQknn32WaftKSkpJCUlMXz4cDQaTY1F9WbMmMHrr7/OE088ASijLVu2bOGTT5zvZFpeXs6bb75Jnz59ANi/fz8rV65k8+bNDByobMf+3nvvkZSUVOP93H333UyYMAGAxx57jB49enD48GG6du3qcO6TTz7JtGnTeOyxxyqPne4DwPXXX1/53x06dODVV19l0KBBGI1GAgLcsxRTiN6RvfH38VfdcO+6ntcRYYho8DWSQpO4udfNnNfuPLZmbiWzOJN5g+cR6hvKX2l/EWlwzcqYCmsFGcUZbM3cyinjKfpE9qFjSMcGT2PVV6AukFv63MKNv97o0Oal8WJal2loveWjraWRkZVqFJmLGtTuKgMGDKi2/dprr2X79u106dKF22+/nV9//bWy7ZZbbiEgIKDyATBt2jSOHTvGxo0bAWVUpX///qrBwmk6nY7evXtXfn3gwAG0Wi39+/evPNapUydCQ0NrvJ8zXyc2VlmB4GxEZvv27YwZM8bpa23ZsoWJEyeSkJBAYGAgI0cqG5zJlg3CnWL8Y3j//PcJ9w2vPKZBw5SkKUzqOMkl+RRBuiB6RvZk+g/TeWrTU7y3+z1uXXUrD657kLGJY12yRLrCWsGOrB1M+mYS//3zv7yx/Q1uWnET1/18HaeKTjX49eurW1g37h10Lz5e/96jn9aPF0a+QJvANm7rl2g8En5WI1BXfVXLmtpdxd+/+l1g+/fvT3JyMj/99BMrV67kiiuuYOzYsXz11Vc8/vjj3H333Xbnx8TEcO6557JkyRLOPvtslixZwqxZs6q9hsFgcNn8to/Pv//AnH5Nq1W9gmV1ybbFxcWMGzeOcePGsXjxYiIjI0lJSWHcuHGYzWaX9FWI+vDSeNE9vDufX/Q5mSWZGMuNxAXEEeYb5rJ/NzJLMrlr9V2UW8vtjh/JP8Lr21/nwbMebPCmjJklmdy68laHHJCUohSe/utp5p8z3y3F5IL0QVyWdBnnxp/LKeMptF5aYvxjGqWOjfAMMrJSjTDfMKc7eA6LG0aYr+P6f3cJCgpi6tSpvPvuu3z++ecsXbqU3NxcoqKi6NSpU+XjtBkzZvD555+zYcMGjh49yrRp0+p0vS5dulBRUcG2bdsqjx0+fJi8vDyX3RMoozCrVq1Sbdu/fz85OTk8/fTTnHPOOXTt2lWSa4XH0Gg0RPtH0yuyF0PihpAYlOjSP3B2ZO3AbFUPylccX0FOWU6Dr3E0/yglFSWqbWtOriGvzLW/73Vh8DHQJrANg2MH0z+6P3EBcRKotGASrFQjWB/Mo0MfdQhYhsUN49Ghj7pt+XJVL774Ip9++in79+/n4MGDfPnll8TExFRbXG3KlCkUFRUxa9YsRo8eTVxcXJ2u2bVrV8aOHctNN93EX3/9xbZt27jppptcOgID8Mgjj/Dpp5/yyCOPsG/fPnbt2sUzzzwDQEJCAjqdjtdee42jR4/y7bffVubhCNHS5ZQ6D0YqrBUuKY6WZ3IejNiwOQ2WhHA1mQaqQYx/DM+MeMZj6qyoCQwM5Nlnn+XQoUN4e3szaNAgfvzxx2rroAQGBjJx4kS++OILPvjgg3pd96OPPuKGG25gxIgRxMTEMH/+fPbs2ePSQmqjRo3iyy+/5IknnuDpp58mKCiIESNGABAZGcnChQv573//y6uvvkr//v15/vnnufhi95QNF66VV5aH1WYlWBfcaAmTmcWZlFvLCfMNw+BTc32fYnMx+aZ8fLx8iPJ3X+FCgL5RfZ22tQloU6v7qUmX0C5O28J9wwnwkSR20TSkgq1wmZMnTxIfH8/KlSurTYr1dPKz415ZJVlsSN3AJ/s+obSilDEJYyqrrLpKqjGVv9L/4rP9n2EsN3J27NnM6DaD+MB41TofpgoTJ4pO8NHej9iSsYVQ31BmdJtB38i+bitTn2ZMY94f89iWuc2h7fkRzzOu/bgGXyOvLI8H/3yQtaccd2t+cviTXNThItUKs0LUpK4VbCVYEfX222+/YTQa6dWrF2lpadx7772cOnWKgwcP2iXRNjfys+M+2aXZPPDnAw4lA0L1oSyesJj4wPgGXyPNmMZTm55i9cnVdscDfQL5aPxHdArt5PCcPdl7uO6X6xw225vUcRK39buNaP/oBverrgpNhSQXJPPNkW/4/uj3lFaU0i6oHdf3vJ5eEb1U76M+skqyWLJ/CZ/u/5Ti8mLaBrTlzgF3cnbs2Q1O4BWtl5TbF02mvLyc//73vxw9epTAwECGDh3K4sWLm3WgItzraP5R1dpGeaY83t/1PvcPvh+9tmH7YaUaUx0CFYCi8iJe3/Y6jw59lBDfkMrjmSWZPLv5WdVdgb858g1XdrvSLcFKdmk21/58LaPiR/Ho0EfRarRklmSyaO8iDFoDb455k1DfmksJ1CTSL5LZfWYztctUyq3l+Hr7yu7GoslJsCLq7fSyYSFc5Zsj3zht+/nYz8zqM4tobcMCg1+P/+q0bfXJ1RSaC+2CFaPZyNbMrU6f8+epP+ke3r1BfaqPvzP+psJWwcqUlaxMWenQXmQuckmwAqD11qruMyREU5HJRiGEx/DROB+V89a4ZmO66vaeUcu/0PzzP6evp3HP33yuej+EaA5a/MhKM07JEW4iPzPuMzlpMksPL1Vtm9RpkktGCsa1G8dHez9SbTs/8XxC9CF2x4L0QQyNG0pxeTGXdb4Mg9aAt5c3f6X9xfLDyxneZrjTaxnNRvLK8jBbzQT4BBDlF+Wypf0DogegQaO6+/CgmEHVrljMLMmkyFyEj5cPIfoQyT0RHq/FBiun8yZKSkqqrYIqRFUlJUoRLMm9aXoJQQlMaD+BH5J/sDse6x/LVd2ucsnmfNF+0VzS6RK+Pvy13fEIQwS39LnF4YM73BDOvMHz+PPUn7y05SVyynLw0nhxTptzeH+cfUn9M50ynuLpTU+z5uQabNiIMERw98C7OafNOS4JDiIMEdze/3Ze2fqK3fFAn0D+O/i/qsFKsbmYvzP/5smNT5JWnAbAWTFn8dCQh+w2RhTC07TY1UAAaWlp5OfnExUVhZ+fn0duhy48h81mo6SkhMzMTEJCQir3LRJNK6c0hwO5B/hk3ycUlxczvv14RrYd6dIlwunF6RzOO8ynBz7FaDYyou0Izks8j4SgBNXzf07+mXvW3uNwvH1Qe94b957Dpn4ZxRlc98t1nCg64fCcl0e9zJhE1yztP70i6KO9H5FVmsXQuKFc1OEi4gLiVKe0tmRs4dqfr3U4HmGIYMmFS9y2DFu0PrIa6AwxMUpCmJRgF3UREhJS+bMjml64IZyhbYbSL7ofFqulUfaeifGPIcY/hj6RfSi3lhOiD3FaRDGzJJOXtryk2pZcmMyxgmMOwcrRgqOqgQrAC1teoHdkb5esqAnSB9Enqg9PhT1FubW8copKTb4pn5f+Vr+P7NJstmZuZULAhAb3SYjG0KKDFY1GQ2xsLFFRUZSXl9f8BNHq+fj44O0tiYuewKBt/OnbQH3Ne/WUVZSRWpzqtH1n1k4Gxw62O6ZWqO20E0UnKLOU1b6TtaDX6tFT/ZLusooydufsdtq+PnU9EzpIsCI8U4sOVk7z9vaWDyAhRL34ePlg0BpU66yAUtq+qrYBzqvtBvgE4OPV9PlQ3hpvIv0iSS9OV22XnBXhyWTpshCi2cspzWFvzl6WH1rOulPrSDOmYbFaXPLaEYYIpnaZqtrm6+1L78jeDscHRA9A760+0jG963QifCNc0re6iDBEcEPPG1TbvDXenJ94vmqb1WYlrTiNDakbWH5oObuzd1e7iaIQjaFVjKwIIVqujOIM7l17r13htiBdEG+NfYvu4d2d5nDUlo+3D1d3v5pDeYdYl7qu8rif1o83x76pWr022i+aBWMWMPu32XYjMue0OYfpXac32saM1dFoNJyXeB67snfx7ZFvK4/rvHQ8P/J5Yv0dk2utNiv7c/dz04qbKDAVVB7vFdGLF0e9KIXiRJNp0auBhBAtW1lFGU9tesphGTIoS3iXXrzUZStc8krzyCzN5EDeAcL0YXQI6UCUX5TTInMV1goySzI5kn+EPFMeXUK7EOUX5bKqsvVVYCoguzSbvTl7CfAJoHNoZyL9IlWXhacVp3HFd1eQb8p3aLuw/YU8OuRRl+zuLFofWQ0khGg1ckpz+P7o96ptReVFHMo/5LJgJdQQSqghlC5hXWp1vtZLS1xAHHEBcS65vqsE64MJ1gfTMaRjjeceLziuGqgA/HLsF27rdxttfVy3G7YQzkjOihCi2TJZTZRbna/0c5ZMKmonqzTLaZvFZsFkMTVhb0RrJsGKEKLZ8tP6Oa0gC9A1rKtLr1duKSenJIcic5FLX9dTVTf6EqQLws/Hrwl7I1ozCVaEEM1WlF8Ut/W7TbWte3h3l03BWK1WjhUc4+2db3PH6jt44M8H2JS2iczill1wMsYvhr6RfVXbbu17K1GGKNU2IVxNEmyFEM1avimfFcdW8Nq218gz5eGt8WZcu3HcOeBOl61WOZh3kOt+vo5Cc6Hd8et6XMfV3a92STVaT5VRnMErW1/hp+SfqLBVEKwP5tY+tzK+/Xi3JwuL5quun98SrAghmj2L1UJWaRbF5cXovfWE+Ya5bIoipzSH//75X9anrldtXzpxKZ3DOrvkWp6qpLyE3LJcTBYTflo/ovyiGrwkXLRushpICNHqeHt5N1rNj0JTIRtSNzht//PUny0+WPHz8ZP8FOFWkrMihBDVsP3zP2cqbBVN2BshWicJVoQQohoBugAGRA9w2j68zXCnbaYKE6nGVE4Unmi0EvVmi5k0YxonCk+QXZrdKNcQwt1kGkgIIaoR5RfFPQPv4bpfrnPYzHByx8lEGNT3+UkvTufdne/yzZFvMFlMdAjuwH2D76N3RG/8df4u6VtmSSYf7v6QpYeWUlpRSkJgAvcMuocB0QMI1NW8o7QQzYUk2AohRA1MFSZOGk/y8d6P+Tvjb0L0IVzd7Wp6R/VW3VMnqySL2atmsy93n0Pbu+e9y9lxZze4TzmlOdy1+i62ZG5xaHt51MuMSRzT4GsI0VgkwVYIIVxMr9XTMaQj9w66lzxTHjovXbXLlY8XHlcNVACe2fwM753/HuEG58XsaiOtOE01UAF47u/n6BXZiyg/qYMiWgYJVoQQopZquyrmr/S/nLYdzj/sMJ1UHzsydzhtO2U8RUl5SYOvIYSnkARbIYRwsepGNAxag0tqlET4qefKgLKJoo+XT4OvIYSnkJEVIVqxU8ZTFJoKSS9OJ9wQTqhvKPGB8U7Pr7BUkFmaSXpxOuXWcuIC4gg3hOOnrWa0oSQXirOg4CT4hUNgjPJwo9NF5DJKMiguL6ZtQFvCfMMI0AW45PUHxwzGW+ONxWZxaLuk0yWE+YY1+Bo9wnug89Jhtpod2sa3H0+YoeHXOC2rJIus0izyTHnE+sUS7htOsG+wy15fiJpIsCJEK3Wi8AQPrX+ILRn/5j20D27PS6NeUt3AzlRhYmPaRub9MY/i8mIAtBott/a9lcs7X06Ib4jjRQrT4Nvb4PCKf4+Ftocrv4BI9xRSq7BWsCt7F7f/djv5pnwANGiY3m06N/e+2SWBRKQhkudGPMe9a++1q8PSPaw7M3vMRO+tb/A1ovyieG3Ma8xZNcdu5+mkkCRu63cbBq2hwdcAOJp/lFtX3cop46nKYyPbjuThIQ9LToxoMrIaSIhWKKs4iyc2PcHvJ353aGsf1J43xr7hMMKSnJ/MJd9eojpa8OaYNzmn7Tn2B80l8OM9sP0Txw4Ex8MNv0KQazYarIuTRSeZ/M1kTBaTQ9vDZz/MZZ0vQ6PRNOgaqcZUnt/8PJckXcKBvAPkm/LpEd6DInMRZRVlzOg2wyVTQWaLmcySTLZmbCW9JJ1+Uf1oF9TOZXsVZRRnMOPHGWSUZDi0XdH5Cu4ddC96bcMDL9H6yGogIUSNCswFrD6xWrUtuTCZ3LJcu2DFarOy7PAy1UAF4M0db9Iropf96EpxJuz8zEkHTkB+iluClfWp61UDFYC3d77NyPiRDR4x2Jm1kxUpK1iRsoIOwR3w9/Hn60NfU2guJEQfwrh244j2j27QNQB03jraBralbWDbBr+WmhNFJ1QDFYCvD3/N9T2vp01gm0a5thBnkmBFiFaouKK42hLyWSVZdl+XW8o5kn/E6fmpxlTH3InyErBWU4q+4JTztkZ0OP+w07aMkgwsVvWArC6OFhxV/W9QdolWyzPxRKnFqU7byq3llFnKmrA3ojWT1UBCtDBWqxWr1VrtOYE+gWi9nP+tEhdgP+Kh89bRN6qv0/M7h3bGV+trf1AXAKeX+bbpT0XvqdBpDJy+bniHavvYWPpE9gGUVTnnJpzLhPYTaBfUDlCmwHy8G76Kpkd4D6dt0X7RLslZcVBdYFhPp98XNX5aP5flxQhRExlZEaKFyC3N5WjBUZYeXIrZamZK0hQ6h3ZWzV8I1YcyqeMklh5a6tDWN7IvwTr7lR4ajYYL2l3Ae7veU60RMqfvHIJ0VeadA6KxnfsQqVGdWVNwgE35B0mM7c/k4bcRe/A3DEHumT7oF9WPm3vfTNewrqw5uYZCcyFTu0wlwhCBv4+/0/L5ddElrAtRflFklmQ6tN3e73bXJaaaipTptK0fQ0EKJF0AHUdDiPMVXXURFxBHp5BOqqNR1/a4lkiDa3JjhKiJWxNsH330UR577DG7Y126dGH//v21er4k2AqhyCnN4alNT/Hr8V/tjg+IGsCzI59V/XA8VXSKd3cpe9dUWCvQoGFE2xHMGzSP+CDHD7sKawX7c/dz3x/3cbzwOABhvmE8eNaDDG0zFH8fx/1uDuce4JpfrqfQXFh5zEvjxfPnPMuIhFGNM8JQg0JTIR/t/Yi3d75tdzw+MJ53znvHZfkfxwqOcd8f97EnZw+gjETc2vdWLu54MaG+oQ2/gLkYdi9VVludKSAKrvsJwjs1/BooU3yPrH+EjWkbAdB56bi6+9Vc3f3qBlfhFa1XXT+/3R6sfPXVV6xcubLymFarJSKidn/ZSLAihOLPk38ya9Us1bbHhj7GlKQpqm15pXnkmnIxlhvx0/oRrA+u8a/+7NJs8srysNqshOhDiPSLxEvjOKOcV5bHrJWzKj+sz6T31vPNpG/ckpx5MPcgl353qWrbtC7TuGfQPei8dS65Vl5ZHnlleZgsJoL1wUQaIl0yzQRA7lF4bQDYVKb8ks6DSz8AX9f8u1hgKiCvLI/SilICdYFEGiJlFZBokGa3Gkir1RITU7sCUSaTCZPp3yz+wsLCas4WonUoqyhjyf4lTtsX71vM6PjRqn/NhxpCCTXU7a/8CENEraZKCkwFqoEKgMli4mjBUbcEK1VHn860/PBybuh1AzH+rilaF+ob6ppRFDUpG9UDFYDDK6E012XBSrA+mGC9FIET7uP2BNtDhw4RFxdHhw4dmDFjBikpKU7PnT9/PsHBwZWP+HjXzMsK0ZxZrJZq95oxWUxOlxw3pooaEj5dsT9OfZwuaKfGZDFVu0rKo5id3wc2G7hgVZMQnsKtwcpZZ53FwoUL+fnnn1mwYAHJycmcc845FBUVqZ5///33U1BQUPk4ceJEE/dYiKaVU5pDenE62aXZTs/x1/lzUYeLnLafl3geIbqQRuhd9YL0QU5HKDRo6BLWxelzyy3lZBRnkF6cjtFsdGm/xiaOddo2vM1wAnxcU3K/0SUOdd4W3cNloyqAEvwUpinLzYtzXPe6QtSSW6eBxo8fX/nfvXv35qyzziIxMZEvvviCG264weF8vV6PXi/zpKLlKygr4O+Mv3l126skFyQTHxjP7L6zGRI3RHVaYVibYcQHxnOiyD6AD/cN57Kky9B6N/2vepRfFA+f/TCzV812GK24qttVTsvapxens2TfEr46+BWlFaUMazOMuf3n0i64XbXLrWsrMSiRQdGD2Jyx2e643lvPnf3nEqgLbPA1mkRgLPSaCrs+tz/u5Q0TXgR/F63UMWbCnuWw7mUoSoPYvnDe4xDXF/TN5L0SzZ7HldsfNGgQY8eOZf78+TWeKwm2oiUyW8x8ceALntn8jEPbrX1u5dqe16rWt0grTuPLA1/y9eGvsVgtjGs/jmu6X9No1U1ro6S8hCP5R3hl6yvszdlLlH8UN/e+mbNiz1INVjKKM7hl5S0OS2X13no+v+hz1T2L6iqr6CT7C5LZmbWT745+R5G5iEExg7i88+XEGCLoWM2Ij8cxZsLBX2HdS8pmkfGD4dyHIaIz+PjW/PyalObBT/epVyKetgS6Tmj4NUSr1KxWA1VlNBpJSEjg0Ucf5fbbb6/xfAlWREuUakxl8jeTVXM6tF5avpv8ndMApMJSQa4pF5vNRqhvqMtWtTRUkbmIkvIStF7aape7/n7id27/Tf13f2zCWP43/H+qS6TrYtOJtdz422z6Rvbl/HbnY9Aa2Juzl++Pfk/viJ68OPxpgvyb2QZ9xkylKJwuwLXTP5n74c2z1NuC28INKyEo1nXXE61Gs1oNdPfddzNx4kQSExNJTU3lkUcewdvbm+nTp7uzW0K41eklomoqrBVkl2Y7DVa03lqP3Ak3UBdYq+mVn5N/dtr256k/MZqNDQ5Wfj+5BoDtWdvZnrXdru2v9L8priil2f3pE9BI3/O0Hc7bCk6CqRCQYEU0PrcGKydPnmT69Onk5OQQGRnJ8OHD2bhxI5GRUhVRtF4+XtXX4fCU0ZLGEKIPcdrm7+Pf4N2QAUKqCZoMWgNeLrhGi1HTKE0NP6tCuIpbg5XPPnOyI6sQrViob6hqsiwoNU7Cfd1YNdRmU5IsS7KVpbF+ERAYDdUEUMXlxeSU5lBoLsRP61dt7ZFLOl3itGbMtK7TnN57SXkJOWU5FJgK8NX6EqYPI8ygnsB7XrtxvLH7fdW2yzpcTFhLLyFfbgJjBpTkgLcP+EdAoJO6MlHdQesLFSobFrY7B/zU32MhXM3tReGEEPYi/SJ5YeQLXPfLdXY1QQxaAy+Petl90zwWM5z8G766XglYQFkNcsHT0HUiGByLhmWXZvPa1tdYfmQ51n8KmPWK6MWzI55VncqKC4jj1j638uaON+2O94roxZSkKXh7eTs8J6c0h3d2vsMXB76gwqbUdukS2oUXRr1AYlCiw/lRhkju7XcHz257xe54UnAnru4xEx+fFrw5X0ku7PgMfntC2RUbICQRrlgEMb2VlURnCoyFyxfB51fa120JjIGJL4MhpKl6Llo5j0qwrStJsBUtldVmJc2Yxoa0DezM2kn38O4MbzOcGP8YlyzfrZecI/Dm2UrQUtW1P0C74XaHTBUmXt76Mp/s+8Th9PbB7Xn//PdVN1ksNBWSXpzOD8k/UGgqZFy7cXQM6ah6boWlgnd3vesQ3ADE+cfx0fiPiPaPdmgzFmeTXpbFj0d/INdUwJj4kXQJ7UKUyp5ILcr+H+CzKx2P6wJg1noIdQzuKC+DwlOw7zvlZ6DDSEg4W0mwFaKemvVqoLqSYEWIJmKzwe9Pwdpn1dsThsL0T+3+0j5lPMXFX1+M2aoS3ABLJiyhV0SvBnUrzZjGJd9e4rQq7QfjPmBQzKAGXaPFMGbBoosgy8lGsRe+AINvbNo+iVarrp/fbi+3L4RoBipMkLrVeXvOwX+nFf5RUl7iNFABOFl0ssHdKrWUVls+P7kgucHXaDEsZsg55Lz95N9N1xch6qje48llZWXs3LmTzMxMrFb7zbQuvvjiBndMCOFBtHqI6aNskKcmrCNUyfUwaA34ePlQbi1XfUqbgIZvYujr7Yuf1o+SihLVdrWclVbL20f5PmUfVG9v069p+yNEHdQrWPn555+ZOXMm2dmO+5VoNBosFtlAS4gWRaOBvlfChlfBohJ8jH4AquzeHGGI4LKky/j0wKcOpycEJhDr76Q+hzEDijKUEu+mIug6HsI7QUiCw6mRhkiu6n4V7+x8x6Et2i+adkHt1K9hMkJhqpKHUZINnS+AyC7OV8V4qvJS5T4O/KTUPekwCmJ7Q1Cc47kBUcr36ctrHNt8/CBpnOv6ZcxU8lv2fw86f+g+WemTJOSKeqpXzkpSUhLnn38+Dz/8MNHRjslrTUVyVoRoQhUmSNkIS6+H4n/+UPExwPn/g56XqX4QZZVk8fzfz/NT8k+V+wN1Du3MS6NeIiHIMfigKAO2LlTyY87UdjBc9r5qwJJdms3r217n68NfV644ah/cnldGv0L74PaO1zAZYecX8MOd9sdj+8D0z9Q/6D1ReZky0vXlTPuVOqHt4ZpvlFU+VZXkwJaFsOYZ5fsJyoqfqR9DbD9wxR5SRemw7GZIXm1/fNT9cNbNDkGtaJ2aJME2KCiIbdu20bFjw/fpaAgJVoRoYlarsmy5OEsp7x4QBf7R4ON8g9EicxG5Zbnkl+Xj5+NHmG+Y85L7p7bCu6PV20bdD+fcpUxnVGE0G8ktyyXPlIdBayBMH0aEX4T662QdgDcGq7cNmwvnPqh6DY+TdwxeH6g+0tX9Epj8hjKqUVV5qTLyYcxUpvf8I5SAxRXF8Gw22PQ2/DxPvf2m1RAn002iicrtX3bZZaxevdrtwYoQool5eUFwG+VRS6dL7dcqf2S7ekE4ALZ8CL2nQVg7h6YAXQABugASUBmtqWrvt87b/n5f+eu/OYyunNisHqgA7P8Wih9VD1Z8DMoSZbVlyg1lzIRNC5y3//0hTOzrmsBItCr1ClZef/11Lr/8cv744w969eqFj4/9XyG12YRQCCHsWK1Qmuu8vawAsDpvr63iLOdtpiKwueAaTaG698pqUUa+mprN8s/3yYnTlY9dMd0kWpV6/cR8+umn/Prrr/j6+rJ69Wq7/To0Go0EK0KIuvPygi4Xwu6lED9YqYqr1cPJv5TRkHbnQC02Q6xRl/Hw19vqbYnD1UcjGsL4z5SZb1DtXru8BEoLlGqy1W1QGO9kN2SA8I6uea/qSh8MHUbDnmXq7T0ukUBF1Eu9fmoeeOABHnvsMe677z68vKRUixDCRdoMVJJc07Yr0z7lJcqH35WfQ0AsBLhg356orkpp+fSd9se9vGHc/1yXAGrMhEMrYP2ryihIu5Ew8h4I7QBalZwYSwXkJcPa5+Ho7+AbDEPmQOdx6quUgttCxzFwZJVj2/hnlT2bmpreH0bdBwd+dNxPKLQdJAxp+j6JFqFeCbZhYWFs3rzZ7TkrkmArRAtTlK4srU3ZaH/cNxhuXAURSa65TsEp2PimsjLGbITEYXD+kxDVDXx8G/76xdnww39g7zf2x7V6uGGlsry4qsy98O65SgLsmTqPg4vfUA/UitJh60fKvZTmKSuaxj0FsX1BH9Dw+6gPSwVkH4AVDyuBlLdeWfY+/E7V1VyidWqS1UB33nknkZGR/Pe//61XJ11FghUhWpjDv8Enl6i39Z4GF70EOj/XXKvC/G8OhT7AtUtqU7fDOyPV2xKHwbTF9tcrK4Avr1MfJQElUGs7UL3NYoHiDOU+fAzK6h5PUFYIpkJAA/7hyu7NQvyjSVYDWSwWnn32WX755Rd69+7tkGD74osv1udlhRCt3c7Pnbft/w7GPOK6YEWra7xVP84q/QIcX6d8kNsFK4Vw9Dfnz9n3vfNgxdvbM1cv+QYpDyFcoF7Byq5du+jXT1krv3v3brs2jSxJE0LUl081gYhWD83ln5fqRhG8vB2X7mo04OWjvqM1uC5AE6KZqlew8vvvv7u6H6IZstqsZJZkUmgqROutJUQfQphvmLu71TRMxVCcCeZi0AVAYFT1H7T1UV6iJGmajMoqEv8oJYGxOkWZUJqjFOfyC1WKfbmbyagUkjMVKe+RX7jzRNl+M2DLB07aZoK/k+dZypVrlBUoUyF+kWAIdk3/7a6RDmX5SjDiH+F86ijpPPj1AfW2bhcr78GZ/MKg5+WwY7GT50ysd7eFaAnqFKxYLBb27NlDUlISBoP9pmWlpaUcOnSInj17ygqhVqDIXMSG1A08tekpcspyAOgW1o0nhz9Jp5BOLXuErSgNVj2hTFlYK5Rqp/1mwsh7Xbe3TFE6rHkOti1SPiS9tNB7Kpz7EASpBCCWCmUFzfJbIPufnXWD4+Hi1yHhLIdNBptM/knY/J6yVLi8RBlBSBoHFzwNYSql8MPaw8Dr4e8qAUt4Rxj8f+qVZYuzYevH8MfzSrIsQMexMPEl1yV0luTCri/h9yf/rSPS7hy4+DX1+wiMhTEPw6rHqxyP+Wcqq0rQ6eMHo+bBsTXKHj9nGnGPZwSdQrhRnRJsFy5cyOuvv86mTZvw9va2a6uoqODss89m7ty5XHXVVS7vqBpJsHWfzembuf6X6x2OB+mC+GLiFy7ZUdcjlebDN3OU/Imq+l4F459p+CoMkxF+mgfbP3Fs6zoRJr3uuA9PzhFYMNRxuaiXN9y0FmJ6NqxP9WEuUZbh/vmCY1tcf7jiIwiJd2wrzlF2Bt78rpKg2XsqJAxVr5prscDmd+Dn+xzbIrvAzG8bHkDabLDjU1g+y7EtJBGu/1k9Z6Q0H3KPKsGaMQO6XgSdxqrf82kFJ+HI77B3uTKKNOj/ILyD7KcjWpxGTbB9//33ufvuux0CFQCtVsu9997L66+/3mTBinCP/LJ8XtnyimpbobmQ9afWc3mXy5u4V02kOEs9UAHYsQRG3NXwYKU4U3ktNfu/g7GP2gcrFosyslA1UAFlhcja553vE9OYClPhr7fU21K3KqNHah/c/uHgPwTaDlIqomqd7zuEMU3ZlE9N1gFl/5yGBitF6fDbE+pt+ceV66gFK4YQaNMfYl9TRsdqsyQ6uC30vxp6Xa4UT/OSAmpCANRpvubAgQOcffbZTtsHDRrEvn37Gtwp4dlMFhP78/Y7bd+UtqkJe9PESnKct9msyl/TDVWaX33J95Js+6/LS+DERvVzQZkeMhkb3q+6MhuVnB5nsg9W/3xvbfWBCiijN6V5ztsz9lb//NqoKFUCL2dOba3++V7eda/d4uMrgYoQZ6hTsFJcXExhYaHT9qKiIkpKShrcKeHZvL28ifV3PofeKbRTE/amielrGK50RSGumkZAfKskjmr1EFZNgcbgtq4pdFZXPobqP3CD27rgGr7Vr7xxxWZ93rrqv+/hsqGrEI2tTsFKUlIS69evd9r+559/kpTkogqTwmNFGCK4uffNqm1ajZbx7cc3cY+akH8kxPRSb0sYCn5OCnKVFSjTBZvfVx5ZB5xv+OYfqbyWmphejtfQ6uCsW5z3eeQ9jgFOUwiIgu6T1duC4lyT/BoQBf2vUW/zC1PyVtSUl0JuMuz4DDa8qRRxK85WPzcg2vn7qw9UpnpcxZgFp7Ypfdr5uTKNVa4yvXdaRTnkHYc9X8P6NyBlExRluK4/QniIOo0zXnnllTz44IMMHTqU3r3ty0Xv2LGDhx9+mHvvvdelHRSeaWiboczsPpOP936MDSVH20/rxwsjXyDG30UrYjxRQCRc8TF8OlUJOE6L6Q1T3lY+IKsqyYX1r8GfVYolDr8Tht6mvox1ytvw2Qz7/WsiOivXVlv2G9YeLnkbvrsdKkzKMS+tsvIkRqW0e1MwhCorYorS4fif/x4Pbqvs/6O2iqautL5wzp3Kh/qhX/49HhANVy2FIJWkXHMJHF4BX11vvzNxx3Nh8gLHHBdvHxh0g7LKau/X/x73C4cZX6pfoz6K0mHZTZC8xv7aly9S+lZ1RVdFuTL9t+Ry+xL9sX1h2hL1hGQhmqk6rQYqLy/n/PPP588//2Ts2LF07doVgP3797Ny5UqGDRvGihUrHCraNhZZDeReRrOR3LJckguSMWgNtA1sS5QhCm1r2FW1KAOKUpVchuC2ytJSZzvkHl0DH12s3jbzW+jgpCy7MVNZJl1wUhmJCIyrfnO68jJl1UnOEbBVKMGNf2TTJ9ZWVXBKSUzOPQIBMcq9uCJQOVNJrvJ+5R5Vgojgtsp11JbQZx+GNwap5wWNfhCG/0epCltVaZ5yjZwjSiAWEq98T1xRqsFSDmuehbXPOrZ5ecPszY7TTXnH4c2zHPcSAmVl2oXPg85NS9aFqEGj7w1UXl7OSy+9xJIlSzh06BA2m43OnTtz5ZVXMnfuXHQ6Xb07X1cSrAiPZyqGL2c6L7/ecYyyhNddm861RutehRUPqbcZQmHW+qYvX194Ct4c4nxq8IJn4OwqU1F7v4EvZqqf762DOX+7JmdHiEbQ6HsD+fj4cO+998p0jxC1YflntMOZ4kywmAAJVppM/gnnbaV51a/EaixWi/NABRwLxQEUpjk/32IGa3nD+yWEh2jQ+KXZbObkyZOkpKTYPYQQ/9AHQYfRztvbj6x5hZGonQqTkiRrKqr+vE5jnLfF9QdtNVMnlnLlGmU1XKOufPycJ24DdBjleKzNAOfnB8eDj5un/4RwoXolFxw8eJAbbrjBYWWQzWZDo9FgsVhc0jkhmj1vHxh4nVI+3lyl1okuQEncVCshL2rPUgH5x2DTO3DsDyVBdvidEN1TPeE5pjeEtoe8ZPvjGg2Me0opSleV1aIUgNv8Phz5TckFGnYHxPZR9ghqKP8IGDcfFl3k2BbeCaJ7OB4PTYQ2A+HU345t5z+hvi2DEM1UnXNWAIYNG4ZWq+W+++4jNjbWYR+YPn36uKyD1ZGcFdEsWC2QtR9+vAeOr1OOJQ6DC5+DyK5KAqWov7Qd8ME4x0TTkfNgyBzwVfm3If84rHxMKWtvtUBEEox/Tqmaq5Y/lLkP3hvrGHCeNUvZ08cV5fBNRXDiL/jpHiWJ10sLPaYoK6qclegvTFUSc3csUUaWguPh/P8pIzFVt2QQwoM0eoItgL+/P1u2bKlcDeQuEqyIZqUkT9mxF8A3RNkVWTRMSQ58cimkbnNs02hg9t8Q4aRIoblYmdKxliv1UgKcrLQqzYcvrobktertt26EqG716r4qY4YSuHj5KCMuNa3mKi9VVltZzMq5sumhaAYaPcEWoHv37mRnOymgJIRQ5xcqAYqrleapByqgbEB4YpPzYEXnX7tl3WX5zgMVUKaFXBmsBEQ7D5zU+Bhct7u0EB6q1gm2hYWFlY9nnnmGe++9l9WrV5OTk2PXVl05fiGEcC2VOip2zTW0N0UfhBANVuuRlZCQELvcFJvNxpgx9ln1kmArhAtZKsCYrmxUqPVVhvdrSsYtTPtnCaxVWWXkiv13qirN/2eJrwX0weoVdZvK6Z2N1TYT1Ggg/qyGX8M3RFnRdfR39faO5zb8GkKIatU6WPn9dye/qEII1zNmwdZFsP5VJfjQBSj70wy+Sb2KraUCMvcqyZkp/+zAHNsHxj+rrH7R+bmmX9kH4Ye7/y0JH9UdLnpJKfHujs0S/cJh4qvw/vlKUHemUQ+Av5OqwnVhCIELnob3zwNTlZHjobc5lucXQrhcvRJsU1JSiI+Pd1gFZLPZOHHiBAkJTTN/Kgm2okUyl8DvT8KG1x3b+s2EcU86rnDJPgTvnuv4Yeqtg5tWqy99rav8FHhnpFLa/kxeWrhpLcS44Br1YamAghTY/MG/S5eHzVU2MVRbulwfVquygmjbJ0o1Yv8IZelyVA/1pc5CiGo1yWogb29v0tLSiIqy/6slJyeHqKioJpsGkmBFtEi5x+CNgUoBsqo0XkoZ9TP3ibGUw+qn4Y/n1V+v1xVw4QtgaODvyKZ3lJEbNV0nwCXvuHfbAEu5sopGq2+8/ZAsFUpA2JjXEKIVqOvnd70q2J7OTanKaDTi6+uGoWAhWpLSXPVABZRS8MVVVuKV5v9bv0XNyc1QltewPlWY4PCvzttPbKq5cmxj8/ZRRlIaM4jw1jb+NYQQDuq0dPk///kPABqNhoceegg/v3/nwS0WC5s2baJv374u7aAQrY5PDTvlVh290PnZ5034hSuF5oyZytcBUcpIQEN4aSG4mundgGipxCuEaDR1Cla2bVPqGdhsNnbt2mW3w7JOp6NPnz7cfffdru2hEK2Nf6SSHJu2w7EtvCP4VSnvrvNXEm8tZug/E4rSwVqh1N7Y8zV0vsB5EqgxE4pSITdZ2Wk4OF59x2Ev73+2DXhf/XWG3+masvNCCKGiTsHK6RVB1113Ha+88orkiQjRGPwjYMq7SmXWgjN2CA6MgSs+Vl8NFJqolFj//Kp/p5A0XkoQEddf/Tr5J5Tz07b/eyw4Hq5aBpGdHc8PSVRW/vxwl/3OxP2vgfaj6naPQghRB/VKsPUUkmArWqSSHPj2duh2EaCBvGPK3jDeOtjxOUx+U5naOVPaTnj7HPXXu3o5dKyy83NpASy9AQ6vcDw/tD1c/7P6aIzZqIzGnPgLyssg4WxlCkgq8woh6qBJyu1PmTJF9bhGo8HX15dOnTpx5ZVX0qVLl/q8vBCtW3E27P9eeRhClWCgOPPfJcPF2fbBSoUZNr7p/PXWPq+MrhiC/z1WkqUeqICyG3FRmnqwoguAsAAI61D3+xJCiHqq12qgoKAgfvvtN7Zu3YpGo0Gj0bBt2zZ+++03Kioq+Pzzz+nTpw/r1lWzQkEIoc5c/O9/l+YpOzafWdukai2VijJl9MWZwlPKOXbXKFE/97SqK46EEMKN6jWyEhMTw5VXXsnrr7+Ol5cS71itVu644w4CAwP57LPPuOWWW5g3bx5//vmnSzssRLNW9s/yXt9A5+cYQpWEVquTekVVE1l9/CFxKKRsUD+/TX/HFUS+wcoKIUu5Uko+rL2y2++hX5VlysHxtbuf2rJaoaJUmcqq7aqhCpOSKCzLhIVo9eo1svL+++8zd+7cykAFwMvLi9tuu4133nkHjUbDnDlz2L17d61f8+mnn0aj0TB37tz6dEkIz5Z3HHYvg6XXKY/dy5Rjavwjoe9V6m3dL3FcDeTtDf2uUl/y7OUN59zl+IEfEAVjH4cZX0JEklIB1zdESeAd9V/HnJj6slqUlUZ/PA+fTldK9afvBpPR+XOKsyH5D1h6I3w2A7YthoKTrumPEKJZqtfISkVFBfv376dzZ/sVA/v376+sXuvr66taOE7N5s2befvtt+ndu3d9uiOEZ8s7DstughMb/z12aAXEnw1T3obQdvbn6wNg9ANKgPH3+8oIg7dOCWBGzVP2qqkqOAGu+wmW36rsEQRKouzFr0JYR8fzfQzKiMuiifZTRNs/gcs+VHJTXCFzL3xwgZKYC8qeQlsXwuS3oMdkxwCrOAdWPgrbPv732NHflXu55jsl0VgI0erUK1i5+uqrueGGG/jvf//LoEGDACXgeOqpp5g5cyYAa9asoUePmvcKMRqNzJgxg3fffZf//e9/9emOEJ4tea19oHLaiY3KCELVYAWU5cljHlE2LzQXK4XfAqLAx8mGhN5aiOsHM79VKuDarMp0krP6KkUZ8PXNjrksNht8MxtuHaDUaWmI4mxYPuvfQOVM392uTF2FJtofz0u2D1TOPP7XOzDmYSk+J0QrVK9g5aWXXiI6Oppnn32WjIwMAKKjo7nzzjuZN28eAOeffz4XXHBBja81e/ZsJkyYwNixY2sMVkwmEyaTqfLrwsLCas4WwgMUZcC2j5y3b/sIks5TDyp8fB0/zGsSEKk8alKSA7lH1dvMxUoNloYGK6W5kL5Lvc1ihsx9jvenFqic2Xb2LPWidUKIFq1ewYq3tzcPPPAADzzwQGXAUHWddG12Xv7ss8/YunUrmzdvrtV158+fz2OPPVb3DgvhLjaL831+QGmzWp23NxZbDde0mBt+jZruS+0a5WWOxyrPL1dGfoQQrU69EmzPFBQUVK+CbCdOnOCOO+5g8eLFtd788P7776egoKDyceLEiZqfJFofqxUKU5VckaJ09/YlIAa6T3be3uMS51M1oPQ/7zgUprn2g9oQptRvUePto6wOavA1QpRcEzUaL4jp6Xi8z3Tnr9dtkhSfE6KVqlewkpGRwdVXX01cXBxarRZvb2+7R21s2bKFzMxM+vfvj1arRavVsmbNGl599VW0Wm1lou6Z9Hp9ZXBU3yBJtHDGTNi0AN4eAa/0hg/Gwe6l9nVKmpKXF3SfpF5ELbQ9dLtYOaeq4hzYvgTeG6Pcx7uj4O8PoDjLNf0KjIGLXga1JPhzHwJ/F6wGCoyBia8ogUlV59wFfirTVVHdIHG443FDKIy823nOjhCiRatXuf3x48eTkpLCnDlziI2NdVj1M2nSpBpfo6ioiOPH7ZduXnfddXTt2pV58+bRs6fKX11VSLl9YaesAFY8Als+dGwb/5yyEZ+7kjNzk2H7YiVwstmg12XQd4b6CEZ5GWx4HX57wrFt6O0wcp5j3ZS6spTD4ZXKdNDfHyj5IyHxMOCf96jTWKUWS0OVl0LOYVjzDJzaCkGxMGIetB0IfmHqzylKhwM/waa3lPyZrhOUROPQdurBlRCi2anr53e9gpXAwED++OMP+vbtW58+OjVq1Cj69u3Lyy+/XKvzJVgRdnKOwOsD1KdL9EEwa717l75aypXpKWwQ1MZ54JR3HN4Y7LhSB8BLC3P+bvg0Tf4JWDBUGfXofYUSCBRnwc7PlVL7c7YoOzy7ismorArS6pVRktoozlLqtBhClecJIVqMJtkbKD4+nma8/6FoqfKOOc/rMBUqpevdGax4+9RudU9JrnqgAkpFV2Nmw4OVsvx/y/b/9Y5je16ya4MVfUDdR4P8a7GqSQjRKtQrWHn55Ze57777ePvtt2nXrp3LOrN69WqXvZZohfTVlLAH0NYukdvtahpFUKtUW1feuurb9TJSKYTwHPUKVqZOnUpJSQkdO3bEz88PHx/74ezcXDclM4rWLagN+IUrNUSqiuuntLmLxazUXDm9OikwRin8phY0+EX8WwK/quC2rhlx8I9Q3pPUbSrXD1feSyGE8BD1HlkRwuMExsKVn8Oii6H8jF2FA6Jgyjvg76ZgxWSEg78oVVtPV3PVBcDEV6HzOMfpkcAouPwjWHihMnV1mj4Ipi1RklQbyi9ceU8WXqRsYHiaj5/yHga64BpCCOEi9Uqw9RSSYCscWCqg8BQcXwdZB5RVJ3H9lBEJd0ndDu+MVG+7aQ3E9XU8brMpm/ed+lt5fnQPSDgbgtqqL3Wur4KTyujKyb8hsgskDvsn+bdef8cIIUStNMlqIIAjR47w4YcfcuTIEV555RWioqL46aefSEhIqNWeQK4gwYrweOUlsHwO7Fmq3t7jUpj8utQPEUK0KnX9/K7Xn2hr1qyhV69ebNq0iWXLlmE0KkPbO3bs4JFHHqnPSwrRMpWXQs5B5+05B8Fc2nT9EUKIZqhewcp9993H//73P1asWIFO92+C4LnnnsvGjSq7ywrRWvn4Q3Qv5b8NodDlQuVxutZIdE/Q+buvf0II0QzUa2J6165dLFmyxOF4VFQU2dnZDe6UEC2Gjy8MnaPknATGKFVjAS58Xkls7TBaOUcIIYRT9QpWQkJCSEtLo317+8JU27Zto00bWfIohB2/MEjZAPu///fYjk+VMvI9privX0II0UzUaxpo2rRpzJs3j/T0dDQaDVarlXXr1nH33Xczc+ZMV/dRiObt5Bb7QOW0/T/AqS1N3x8hhGhm6hWsPPXUU3Tt2pX4+HiMRiPdu3dnxIgRDB06lAceeMDVfRSi+SorhI1vOG/f+IZyjhBCCKfqNQ2k0+l49913efjhh9m1axdGo5F+/fqRlJTk6v4J0bxZK5Sdg50xF4O1vOn6I4QQzVCDKj/Fx8cTH//vxnA7d+5k4MCBmM3mBndMiBbBNxi6TYK0Hert3SeDb4jz5xdnQ4VJ2S/IP6IxeiiEEB7PhaUwwWazYbFYXPmSQjRvXt7Q+3IIiHZsC4iGXpcp51RVmg+HVsInU+D1AfDRxUqOS4nsuyWEaH1cGqwIIVSEJMANv8LA65WdofWByn/f8KvSVlWFGfYsg8WXKiMy5aWQsQc+uxK2fqR8LYQQrYhsACJEUwhtBxfMhxH3KF/7hYHWSX0VYzr8+pB62+qnoMclEJrYKN0UQghPVKdgpbCw+lULRUVFDeqMEC2a1heC4mo+ryTn392Zq6owKcXkJFgRQrQidQpWQkJC0Gg0TtttNlu17UKIWvDyqb7dW1d9uxBCtDB1ClZ+//33xuqHaC1K8qAkS1my6xuiJJnqZMdhO/7hEJII+cdV2iIhINL5cwvToCQbbDbwC4fAWPCS1DQhRPNWp2Bl5MiRjdUP0Rrkp8DyWXDsT+Vrbx8YcD2MuBsCotzbN08SGAuXfwgLL4Lykn+Pa/VwxUcQEOv4nAoznNwMy/4PCk8px/wjYOKr0GEk6AKapu9CCNEINDabzVabE2vKVzlTUFBQvTtUF4WFhQQHB1NQUNBk1xT1VJQBH0+GzL2ObcPmwuj/Kh/GQmGpgIKTcOBHOLEJ4vpB94shKB60KtNE2YdgwRCwVCkwp9HA/62GuL5N0WshhKiVun5+13pkpaZ8Ffg3Z0VqrQgHhafUAxWAv95WlvJK0ui/vLUQ1g6G3Apnz1KCDmcsFfD3B46BCijTQWufg0veBr2MrgghmqdaByuSryIaJO+Y87by0upL0rd2NSWtl5dC6jbn7Rl7lPdXghUhRDNV62BF8lVEgwS3dd7m7SNJtg3h4wuRXSFlg3p7aDvwkfdXCNF8NagoXElJCSkpKQ57AfXu3btBnRItUHC88xUufa6UBNuG8PaBwTfB1oXKtE9VI+eBb2CTd0sIIVylXsFKVlYW1113HT/99JNqu+SsCAdBsXDVMvhsmpIMelrXi2D0/fKXf0OFtoMrPlZWW5n+Kc6o9YULnobo7m7tmhBCNFS9gpW5c+eSn5/Ppk2bGDVqFF9//TUZGRn873//44UXXnB1H0VLEdEJrvkBijOVjfoCY5TltYZQd/es+dP5QecLYNYGKEoFqxWC2igjVj5OyvoLIUQzUa9g5bfffuObb75h4MCBeHl5kZiYyHnnnUdQUBDz589nwoQJru6naCkCo5WHcD1vHwiJVx5CCNGC1Ku0ZXFxMVFRSo5BaGgoWVlZAPTq1YutW7e6rndCCCGEaPXqFax06dKFAwcOANCnTx/efvttTp06xVtvvUVsrEp1TdFyVZiVjfWKs2v/nNJ8KEoHkyxXFkIIUbN6TQPdcccdpKWlAfDII49wwQUXsHjxYnQ6HQsXLnRl/4SnstmUlT1/vQv7vwedPwy+BTqfr+SiqCnJVeqBrH0WClMhbgCMvAfCOoCPoWn7L4QQotmodbn96pSUlLB//34SEhKIiIhwRb9qRcrtu1HuUXj3XCjNsz/efiRMedcxL8VUBOtfhzVP2x/38oarl0P7EY3aXSGEEJ6jrp/f9ZoGevzxxykp+XeDNT8/P/r374+/vz+PP/54fV5SNCfmUlj7gmOgApC8BrL2Ox43ZikjKlVZLfDdHcq0kBBCCKGiXsHKY489htFodDheUlLCY4891uBOCQ9Xlgf7vnHevn2J47HMPWCzqp+fe1TJYxFCCCFU1CtYOb1hYVU7duwgLCyswZ0SzYBXNelOarsne6nsFHwmTb1+FIUQQrQCdUqwDQ0NRaPRoNFo6Ny5s13AYrFYMBqN3HLLLS7vpPAwfhFKifyNb6i397va8VhUV6UOiNrOwNE9pTCcEEIIp+oUrLz88svYbDauv/56HnvsMYKDgyvbdDod7dq1Y8iQIS7vpPAwWh2cPQsO/OC4m3KfKyGsveNzAqLhopfhm9n2x3X+MPlNCIhsrN4KIYRo5uq1GmjNmjUMGzYMrbZB+yA2mKwGcrOCk3D4N9j9JegC4KxblH1o/J0EHqYiyE2GTW8pQU674dBnOoQkKKuChBBCtAp1/fyu99LlI0eO8OGHH3LkyBFeeeUVoqKi+Omnn0hISKBHjx71eck6k2DFQ5iMSg5LbfegqTCDxaRsXihBihBCtDpNsnR5zZo19OrVi02bNrFs2bLKlUE7duzgkUceqc9LiuZMH1C3zfK0OtAHSqAihBCiVuoVrNx3333873//Y8WKFeh0usrj5557Lhs3bnRZ54QQQggh6hWs7Nq1i0suucTheFRUFNnZddgjRgghhBCiBvUKVkJCQir3BjrTtm3baNOmTYM7JYQQQghxWr2ClWnTpjFv3jzS09PRaDRYrVbWrVvH3XffzcyZM13dRyGEEEK0YvUKVp566im6detGQkICRqOR7t27M2LECIYOHcqDDz7o6j4KIYQQohWrU6EUq9XKc889x7fffovZbObqq6/m0ksvxWg00q9fP5KSkhqrn0IIIYRopeoUrDz55JM8+uijjB07FoPBwJIlS7DZbHzwwQeN1T8hFKX5ylJnfaC7eyKEEKKJ1Wka6KOPPuLNN9/kl19+Yfny5Xz33XcsXrwYq9XJbro1WLBgAb179yYoKIigoCCGDBnCTz/9VK/XEi1UwUn46z1Ycjl8Oh32fQ9FGe7ulRBCiCZUpwq2er2ew4cPEx8fX3nM19eXw4cP07Zt2zpf/LvvvsPb25ukpCRsNhuLFi3iueeeY9u2bbWqgisVbFu4ghOwcCLkJdsf73QeTH5D2W9ICCFEs1PXz+86TQNVVFTg62tfqdTHx4fycpWddGth4sSJdl8/+eSTLFiwgI0bNzZZyX7hoSwVsOVjx0AF4PAKyNgjwYoQQrQSdQpWbDYb1157LXq9vvJYWVkZt9xyC/7+/pXHli1bVueOWCwWvvzyS4qLi53u3GwymTCZTJVfFxYW1vk6opkoyYYdi523b/4A2p0D3j5N1ychhBBuUadg5ZprrnE4dtVVVzWoA7t27WLIkCGUlZUREBDA119/Tffu3VXPnT9/Po899liDrieaEVs1uVA2C9RvD04hhBDNTL13XXYVs9lMSkoKBQUFfPXVV7z33nusWbNGNWBRG1mJj4+XnJWWyFIOv/0P1r2s3n7ll9D5/CbtkhBCCNeoa86K24OVqsaOHUvHjh15++23azxXEmxbuPwT8ME4KDxlfzxxGFz2AQTGuKdfQgghGqRRE2ybgtVqtRs9Ea1YSDxc/wvs+lJ5aH1h8M3QcaQEKkII0Yq4NVi5//77GT9+PAkJCRQVFbFkyRJWr17NL7/84s5uCU8SEg/D7oD+M0HjBX5h7u6REEKIJubWYCUzM5OZM2eSlpZGcHAwvXv35pdffuG8885zZ7eEp/HyBv8Id/dCCCGEm7g1WHn//ffdeXkhhBBCNAP12nVZCCGEEKKpSLAihBBCCI8mwYoQQgghPJoEK0IIIYTwaBKsCCGEEMKjSbAihBBCCI8mwYoQQgghPJoEK0IIIYTwaBKsCCGEEMKjSbAihBBCCI8mwYoQQgghPJoEK0IIIYTwaBKsCCGEEMKjSbAihBBCCI8mwYoQQgghPJoEK0IIIYTwaBKsCCGEEMKjSbAihBBCCI8mwYoQQgghPJoEK0IIIYTwaBKsCCGEEMKjSbAihBBCCI8mwYoQQgghPJoEK0IIIYTwaBKsCCGEEMKjSbAihBBCCI8mwYoQQgghPJoEK0IIIYTwaBKsCCGEEMKjSbAihBBCCI8mwYoQQgghPJoEK0IIIYTwaBKsCCGEEMKjSbAihBBCCI8mwYoQQgghPJoEK0IIIYTwaBKsCCGEEMKjSbAihBBCCI8mwYoQQgghPJoEK0IIIYTwaBKsCCGEEMKjSbAihBBCCI8mwYoQQgghPJoEK0IIIYTwaBKsCCGEEMKjSbAihBBCCI/m1mBl/vz5DBo0iMDAQKKiopg8eTIHDhxwZ5eEEEII4WHcGqysWbOG2bNns3HjRlasWEF5eTnnn38+xcXF7uyWEEIIITyIxmaz2dzdidOysrKIiopizZo1jBgxosbzCwsLCQ4OpqCggKCgoCbooRBCCCEaqq6f39om6FOtFRQUABAWFqbabjKZMJlMlV8XFhY2Sb+EEEII4T4ek2BrtVqZO3cuw4YNo2fPnqrnzJ8/n+Dg4MpHfHx8E/dSCCGEEE3NY6aBZs2axU8//cSff/5J27ZtVc9RG1mJj4+XaSAXKTFVkF1sxlxhwV+vJTrQFy8vjbu7RVaRicKycrw1GkL9fAj207m7S0IIIRqgWU4DzZkzh++//561a9c6DVQA9Ho9er2+CXvWeqTml/LcL/v5bkcaFVYbEQE67hnXhXE9YghxU3BQVm5h58l87l+2myNZRgDOah/K/yb3olNUABqN+wMpIYQQjc+t00A2m405c+bw9ddf89tvv9G+fXt3dqfVyioyccvHf/P1tlQqrMpAW7bRzLylu/h1bwZWq3sG345mFTP93U2VgQrApuQ8Ln97A6fySt3SJyGEEE3PrcHK7Nmz+eSTT1iyZAmBgYGkp6eTnp5Oaal8EDWlU/kl7Dylnqz83M8HyCgqa+IegdFUzksrD2BRCZTyS8r5dV9Gk/dJCCGEe7g1WFmwYAEFBQWMGjWK2NjYysfnn3/uzm61OnucBCoAWUYTJWZLE/ZGYSyzsPV4vtP2tQezMFU0fb+EEEI0PbfmrHhIbm+rFxPs67TNx1uDzrvpY1qdt4aoID05xWbV9vhQA1ovj1nMJoQQohHJv/aCrjGBBOjV49bJfdsQEdj0CbZhAXpmj+7ktP3KsxLx9oCVSkIIIRqfBCuCmGADH10/mMAqAUu/hBD+c35nDD7uGYAb0iGcq85OtDvm7aXhmUt7ER9qcEufhBBCND2PqbNSH1Ju33UsVhvpBaUczDSSUVhG99gg4oINRAS6d6l4QWk5WUUmtqfkoffxpnfbYCID9fjpPGLVvRBCiHpolnVWhPt5e2loE+pHm1A/d3fFTrDBh2CDD52iAtzdFSGEEG4i00BCCCGE8GgSrIhmodhUQWl5hbu7Yaes3EKO0URZuWctoS41WygxedZ7JYQQDSHTQMKjpRWUsu5QNku3ncLXx4trhrSjR1wQkYHOl1s3tsLSck7mlfDxxuMcySqmS3QgM85KID7MgL/ex239yiwqY8eJAj7ecAyLzcbUgfEMbh9GTLAkIwshmjdJsBUeKzW/lKvf38SRrGK74+N6RPPk5F5uSf41lVfw+4Fsbl28hTOL62q9NLx3zUBGJEXg5Yb6L5mFZdz1xQ7+OJxtd7x7XBAfXDNQAhYhhEep6+e3TAMJj2SxWPlqy0mHQAXglz0ZHMgockOvIK3AxL1Ld1B1F4AKq417v9rJCTftWbTjRL5DoAKwN7WQX/ZkSAFGIUSzJsGK8EjZxWa++PuE0/bFG49TbrE2YY8U2UYThaXq+SCZRSbynFTcbUylZgsfbTzutH3xpuNOKwELIURzIMGK8FjVBSNmixV3DBaobax4JndsUG212Sp3y1ZTYbGBDKwIIZoxSbBtwXKLTRSbLHh5aQj31+Hr413t+aXlFWQUmKiw2vDVetE2zPU1V0rNFaQXllFhseGj9aJduL/qeaF+PlzcJ47l21KZOjie7rFB2Gyw7nA2X287xdRBCei0TR9rRwXqMfh4U6qyAijY4EOYf9NvTeCv1zJ1YFs2HMlRbb+kXxtC3dAvIYRwFQlWWqBScwV7Ugt59Ls97D5ViF7rxaX92zLn3E7EhagnWp7MLWHh+mN8tvkERlMFHSL8ufeCLgxMDCXCRStvTuSW8OlfKXyy8TiFZRUkhPnxn/OSGNQuzKEYnU7rzXXD2jG0YwRvrj7M678dRuulYWz3aD68bhAdI9WDnMYWHaTngQndeHD5boe2Ryd2JzbYPRV/z+4QQdeYQPan2+fytAkxMKV/G9lHSQjRrMlqoBZoW0oely5Y7zAlkRQdwMfXn+Wwy3Jqfil3fbGDDUcd/zJ/dVpfLu7bpsF9OpVXwiPf7mHlvkyHticn9+SyAW3RVxn5OZxZxIRX/8RUYT8dFB2kZ9msYbRx0/5A2UVlHMo08sbvRziWU0ynyABmn9uJDhH+hAe4b3uCtIJSftqdzpJNKVisNi7p14ZL+7fxuKrEQggh5fZbubxiM//7YZ9q7sShDCMH0gsdgpWMwjLVQAXgmZ8P0Dc+hAQn0zW1lV9SrhqoALy44iBDOobTIfLfkvolpgpe++2wQ6Ci9NfEH4ezmDYooUF9qq+IQF8iAn3pHB1IibkCf72WMH/37qEEEBts4Lqh7bi4Txw2m40wPx3e3pKWJoRo/uRfshamtNzCluN5Ttt/2+8YMGw/ke/0/FP5pRSbG16hdV96odO2nGIzxioVV4vKKlinshT3tJ93p2OqcG/l2PAAPfFh/h4RqJym0WiICNATGegrgYoQosWQf81aGI0GgnydD5hFBznmn4RXk3zp7aVB54IPvVC/6hM8fbX2U0DeXhqCDc6fExWoR6uRPAwhhGgNZBqomUgvKCWryERRWQVxIQbCA3QE+jqWdo8M0DNzSDte//2wQ5tGA+N6xjgc79kmGL3WS3XKZWy3KKcrXHKKTOSVlnMqvwRfrTdRgXriQgwOuScA7SP8CdRrKVLZs2Zox3ACDfY/ihGBem4e0YF7l+5UvfZVZyc6HTk4mVdCbrGZHKOZ6CA9Yf66aiu4msotZBaZSCsoxUujITbYl8ggPTpv56unUvNLySk2k11kIipQuUask+TlpmK2WMgqNJFWUIbVZiMu2EBEoL7GVWBCCOHpJFjxcDabjb1phdy46G/SCsoAJeiYOiCeu8Z1IbJKyXmttxdXnZ3IpqM5bD5jOkijgecv60OMyshKTJAvC2b055ZPtmI+o7ZJhwh/7h/fTXXZ66m8EhZvSuGdtUcra3yE+PnwyrR+DEgIIaBKIBUbpOetqwdw/cLNdkFR21ADT0zqSaxKMDGkYxhju0U55LrcOTaJ6CD1qZcjWUZu/WSrXYXboR3DefrSXiSEOebdFJaW893OVB7/bm9lv/x13rxwRR9GdI7ET+f4K3Isu5jbPt3GrlMFlccGJIby4hV9SGxgbk99lZgrWHswi7u+2FE5bafXevHwxO5M7B1HkMF9exYJIURDyWogD3cqr5QLX/2DgtJyh7a7z+/MrJEdVUcYsorKSMkt5Y+DWYT66xjROZLoQD1+evX4tMRUTlqBiXVHsknNL2VQuzA6RwcS76TWytdbT3LnFzscjuu8vfjh9uEkRQfaHc8oKOPXvWkM6RjBpqO5HM8tYUBCKJ2iAvhtfwZXDUnE4GPftxV70zmcaaR9RAB/H89Fr/VmQGIov+3L4KqzE+kaa/89P5lXwnUfbuZQptGhX+N6RPPUJb0cVutsPpbL5W9tcDhfo4Gf7ziHLjH210jLL+WWT7aw42SBw3OGdgznpal9VafaGtuB9EIueOUP1UJ5X948hEHtw5q8T0II4YysBmph9qQWqAYqAO/8cZQp/duq1k6JDPQlMtCXAYmhtbqOn96HjlE+dIwKqPHclNxi3lx9RLXNbLHyw8405p5nH6ycyi/loW/2AjB9cDwdI/35eOMx/jycg4+3hnE9Y0kI+/fH8VReCW/+foRtJ/Lx03nTNSaICquVt9YcwWJVCso9ML4r2jNyXbKNJtVABWDF3gzuPr+LXbBSVFbOa6sOqZ5vs8HCdcd4bFJPu+JzuSVm1UAFYP2RHPJLzE0erJgrrCxaf8xpRd9XVx3kzasGqE4bCiFEcyDBiodz9uELUFhagVklz6SxWaw2UnJLnLar9Tk1/98N/j79y37Pn3KLjVKzfS6L2WKtvEaJ2cLWFPsVTslZxZSYLQSdEaxkFpqc9slqw2HFUVm5lWM51d+HqcJiF6wUOgkcTysqU983qDGZKizV/pwczy2lrNyKi2r7CSFEk5PVQC5kbYSNYXrGKcNj/jott53biYcu6sa5XaMAJZlW7+P6b6Glhg0Cfby8SIp2PgLTp22ww7GEcGU6ydtLw9CO4VzUO5Ye/9ybr4+XQ26Ir9a72mv0aBOEv94+cbS6BFcfbw2BVVZJ+em86RbrfPixT3yIQ3JqdauaNBql5H51bDaby3dANvh407ttiNP2brFB+OkkyVYI0XzJyEoDFZaWczK/lC82nyCrqIwLe8XSPzFUNWG0PjpHB/LC5X3oFBXAsq0nOZxp5Lzu0dwzrgvHs4uJdtGfy3nFZtIKSlm65SSpBWUM6xTB8E4RtItwTBhtG+bHnWM7c8Oivx3aAvRaxnSPdjgeG+zLdUMTGdE5ij8OZZFWUMb4nrHceV5nkjOLHKZOYkMM3DGmMxuPbnR4LV8fLy7p1wbvKqt1wv11DEgIZUuKY52ZKf3aElklX8VfrwSAv+5Nd5hC0Xl7MeOsBHyq5AOF+vswIimCtYcca8CM7xHjdOVUdpGJw1lGvtisjCpdMTCeTlEBRAQ2vEaL9p++frzhuF2CNCgB1G3ndsLfSa6SEEI0B5Jg25Drl5Xz6aYU5v+03+54YrgfS2482yXl4HOLTXyzPZXHvttrdzwu2JePbzyLjpE155jUpLC0nJ/3pDNv6U67D+3IAD1L/u8sh2RZgBO5xaw9mM0zv+ynsFSZ+ugQ4c8LV/ShU6Q/gVVqpBSbyll7MJvZS7baVdcN8fPh0/87W3WE42RuCX8dy+WJ7/eSV6JMvySE+fH85b3pEG4gIsg++bfCYiU5u5gnvt9bGUxovTRc3DeO287tRPsIx/eqxFTBuiM53L9sJ9lGM6C8ty9N60u/+BB0WscRiRO5xTzx/T5W7MvAZgMvDVzYK5Z5F3RVTUjOKirjv8t2saLKqqax3aJ4akovolwQcJorLGw/kc/cz7aT+s+qsYgAHfOn9GZYp3DVVU1CCOEudf38lmClAQ5lFHHeS2tV264cnMDDE7s3uMbFwYwixr28VjV58oIe0cyf0rvBO+oeyTQy7uW1lUuQzzSsUzgvT+1L5BkfqBUWK6+uOkRUoJ6zO4RTUFaOj5cXeh8v3vz9MDeO6EivNvZTQUezjIx/5Q/VWi5940N466r+drVQKiqsvP3HUfRaDaO6RFFQWo7WywuDzov3/0hmUr82DO0YYfc6p/JKmPLmeib3a8PAdmGYK6zotBp+35/FluO5LP6/s4lQ2bvHarWRUVRGbrEZL42GMD8d0cHVBxA5RhM5xWaKyioI8tUSHqBzWsn2p11pzFq8VbXtrav6c0HP2GqvVRcZhcp9WG02wvx1RAf64iWbGAohPIysBmpCv+7NcNq2dOvJanc5rq0/DmU5XeWxYl8m95SYGxysbEvJUw1U4PQKl3K7YCXbaGLxphRyis2qzwky6ByClcOZRtVABZRy//ml5XbBSlphGZ9vPkFKbgn/+2G/w3OKzRYGJobajXykFpSRUWTi7bVHeXvtUYfn5BabVYMVLy8NscGGOk3dhQfoa7VpYVFZOR+sS3ba/v6fyQztGOGyOijRQb5uWTothBCNSRJsG8BYzcoPU4XVJYmUxSbn+99YrDaXJPUaq9n7x2ZTrmN3DGUPImeKyhxXzBSbq18lU2Gxv4bVZqv2GiVmi8Nzyqo5X+0aTaHCUvN9VH1/hRBC2JNgpQHO7RaFlxfcdE57ls0awve3Def1K/sRH2pgSIcwAqrZo6ewtJy0/FIyCsuqDTiGd4pw2tazTRAB1SROFpUp10gvLKt2hc/AamqxdIz0d7iPIF+fyhVJaib1beNwrHus4wqh02KDfR32Mwrz1zG6S6TT50zoFetQ4C4hzA9vJ1MeoX4+hPi5ts5IttFEWn4pOUbnS6aDDT5M6BWHztuLSX3jeOHyPrxweR8m922DztuLib3jalxBJIQQrZ1MAzVA+3B/fp07gm93pHLzx1spKC3n7A5hvHZlP4INWtWN+MrKLRzJNPL0z/vZdDSXED8fbhjenkv6tSFKrRR+sC+jukSy+kCW3XFvLw0PX9RddbmuucJCcnYxz/5ygD8OZhNk0DJzSCJXDEwgRiUXIyJAx0W9Y/l+Z5rdcS8NPHRRd9qG2ieN+uu13HleZ37bn0lJlVGZnnFBdI9znH8M8/NhxlkJLN6U4tD2yMTuJFQpUx/o68PNIzry8+50CquMYHWMDGBgO8cAKyJAzy0jO/KGyr5Ij17cw2XTI3nFZjYezeGFFQc5nlNMx8gA7hnXhQGJoYRUWdrs5aVhcr84+rQN5qutJ3n4m92AskfTwusG0T7SX3JKhBCiBpJg2wAn80q449PtDktlfbw1fHHzEPolOH6gbk/J49K3NjgM/Q/vFMHL0/qq5lSczCvhp13pLNpwjNxiM4MSQ/nP+V3oEOmvWpV0b2ohk99Y57CMtX9CCG9dPUB19cmp/BJW7s3kg3XJZBWZ6NM2hLvP70zHKH9C/Bz7VGGxcjy3hFdXHWLVvkwMOm+uPjuRywe2Vc39KCwtZ8vxXI5kFbNkUwppBWX0bBPE9cPbE+6vY1C7MDRVdlGuqLCSnFPMG78fZtW+TPQ+Xkzp35arzkpwCG5Oyy02s+FINq+sOsSJ3FK6xgZy7wVd6REXRJALKriWmiv44M9jPPfrAYe2xy7uwfTB8Q4riE7mlXDJm+vJKrIfgYkM1PP1rKG0dbKlgRBCtFSyGqgJrTuczYz3Nqm2DW4fxmvT+9n9NZ9bbOa6D/9yWq7961uHqgY4AFarlVP5ym66/jpvIpwsdy0sLWf2kq38oVIHBOCz/zubszuGO72nE7klWG02/HRah00S1ZSYKigoK8dLoyHCX+d0J+QjWUbGvLCGbrGBXNKvLWH+PhzNKubLLSfx1mhYPnuo052RC0vNlUuXY4J8VXd1rirbaKLcYsVX693gBOQzncgtYcwLaxwCQVCKzP165wi7kSiL1cZbqw/z3K8HVV/v3nFduHlkR6fTV0II0RLJaqAmtGqf89VAfyXnUlIlqbTYVOE0UAFYezDLabDi5eXldFPBMxlNFfx5WD1QAfh5T3q1wUptrnEmP73W6eaIZzqQpuyCvC+tiH1p+xzaC0sriHGS1hJk0BGkMqVWHbURKlfIKjKpBiqgJMvmFpvtgpXCsnJ+3J3u9PV+2JXG9MEJLg2ohBCipZEE2waobmM4vdYLDfZ/LXtplCkiZ1yRaKlBKb/uTIibkjn9fasfDdFW8754kjP3CVJTteKt1ktTbfVYf7222dy7EEK4iwQrDXBBzxinbZP7xhERaP/XcliAjov7OK6UOW1EZ+erX2orPEDHtEHxTtsv7O26AmR10TEyAF8n+xgNSAytds8dTxIeoHM6PRYfZnAotx/oqyRQO3PD8PZu3Q3ZaCrnWE4xO0/mcyTLSEGJeu0cIYRwJwlWGiAyQMd947s6HO8Q4c+tozsRoLf/EDL4aLnzvCQSVKZanrykp0v2+dFpvbnxnA6qmwDeP74rsW4qGBYVqOe16f0ccjPC/XU8dUmvZjMNEhPky1tX9UdfZYTFX+fNG1f2V11x1D8hlPEqge0FPaLp72TarylkFJbxyDd7OPf51Vz8+jrGvLCGWYu3cuqMHbKFEMITSIJtA2UVlZFRaGLp1pPkGs2c1z2a3m2Dna5WAUgrKGXHiQJ+2ZNOTLAvl/RrQ2ywr0v/wk4vKGN3agE/7UojzF/Ppf3bEBdicFml1LrKKirjlZWHGNs9mvVHckgvKKNHXBAdIv05nFnM9cPboVfZh8cTVVispOaX8evedHafKqBfQiiju0bRJsTgNFE222jieE4xX/59EoDLBrSlXYR/o+XW1KTEVMFj3+/l8382VjxT3/hg3r9mUK0q9AohRH3IaiDhkXacyGfSG+vw0sDAdmGE+ulIzjZyMMOIr48XK+4cWefkXlF/x3OKGfPCGqfbLPw89xy6xsjvlBCicchqIOGRTuSWAGC1KSulzlRWbnVYOSUaV7GpwmmgAsrInAQrQghPITkroklUt6GjztsLg07i5qbkp9NSXWmXqFrU2BFCiKYiwUoV6QVlrDmYyfwf97FowzGOZRfXuEGeqFmbEINqYjHA5QPaEhnYPBJsW4qIQB0X9lJfGdYlOlC1yrEQQriL/Dl7hlN5JVz1/l8kZxdXHvP20vD2VQM4JymiVpVThbroYF8WXT+Ymz76m0OZxsrjF/aK4faxSRh85EexKQXofXhwQjdKzBX8tv/ffad6xAWx4KoBRMjIihDCg0iC7T+KTRXct3Qn31XZzA+UQm6r7hrldGRA1F5WkYmcYhNFZRWE++sID9DLrsNulF9iJsdoJrfETLCvD2EBOretUBJCtB6SYFtPucVmp2XRyy02tqfkS7DiApGB+lrtOSSaRoifjhA/HR3d3REhhKiG5Kz8o8JqddgJ+Uy5xSanbUIIIYRoPBKs/MNfryUx3PnIyYBE91UaPS232ERGYZks8xVCCNGquDVYWbt2LRMnTiQuLg6NRsPy5cvd1peoQF8endhDtW1Yx4hql942tmyjiW+3p3L1+38x6fV1PPj1bg5nFlFeob77rxBCCNGSuDVYKS4upk+fPrzxxhvu7EalQe3DWHzjWXSNCQQgyFfLbed24sWpfdxWejyv2MyTP+zj9s+2sSe1kPTCMpZtO8WEV//kQEaRW/okhBBCNCW3JtiOHz+e8ePHu7MLdgL0WoZ1imDxjWdRWm7B20tDRIAeH2/3xXTphWV8ve2Uw3FThZWHv93NB9cMIqSZ7FgshBBC1EezWg1kMpkwmf5NdC0sLGyU63jSBm5/Hsp22rb1eD4FpeUSrAghhGjRmlWC7fz58wkODq58xMfHu7tLjU6ndf4t8tKAl6aamulCCCFEC9CsgpX777+fgoKCyseJE47b27c0w5MinLad2zWKUBlVEUII0cI1q2BFr9cTFBRk92jpogL1zBvXxeF4uL+OByZ0I8C3Wc3kCSGEEHUmn3QeLtDXhyvPTmRopwgWbjhGVqGJMd2iOK97NG1DpaKuEEKIls+twYrRaOTw4cOVXycnJ7N9+3bCwsJISEhwY888S7DBhz7xITwb15sKiw1fHy80kqsihBCilXBrsPL3338zevToyq//85//AHDNNdewcOFCN/XKc/l4eyEbPwshhGht3BqsjBo1ima86bMQQgghmkCzSrAVQgghROsjwYoQQgghPJoEK0IIIYTwaBKsCCGEEMKjSbAihBBCCI8mwYoQQgghPJoEK0IIIYTwaBKsCCGEEMKjSbAihBBCCI/WrDcyPF39trCw0M09EUIIIURtnf7crm0V+2YdrBQVFQEQHx/v5p4IIYQQoq6KiooIDg6u8TyNrRlvzmO1WklNTSUwMLBZ7kJcWFhIfHw8J06cICgoyN3daTKt9b5B7r013ntrvW+Qe2+N917b+7bZbBQVFREXF4eXV80ZKc16ZMXLy4u2bdu6uxsNFhQU1Kp+mE9rrfcNcu+t8d5b632D3HtrvPfa3HdtRlROkwRbIYQQQng0CVaEEEII4dEkWHEjvV7PI488gl6vd3dXmlRrvW+Qe2+N995a7xvk3lvjvTfWfTfrBFshhBBCtHwysiKEEEIIjybBihBCCCE8mgQrQgghhPBoEqwIIYQQwqNJsNIEnn76aTQaDXPnznV6zsKFC9FoNHYPX1/fpuukizz66KMO99G1a9dqn/Pll1/StWtXfH196dWrFz/++GMT9da16nrvLeV7ftqpU6e46qqrCA8Px2Aw0KtXL/7+++9qn7N69Wr69++PXq+nU6dOLFy4sGk660J1ve/Vq1c7fN81Gg3p6elN2OuGa9eunep9zJ492+lzWsrvel3vvaX8rlssFh566CHat2+PwWCgY8eOPPHEEzXu7+OK3/NmXcG2Odi8eTNvv/02vXv3rvHcoKAgDhw4UPl1c9xCAKBHjx6sXLmy8mut1vmP2fr165k+fTrz58/noosuYsmSJUyePJmtW7fSs2fPpuiuS9Xl3qHlfM/z8vIYNmwYo0eP5qeffiIyMpJDhw4RGhrq9DnJyclMmDCBW265hcWLF7Nq1SpuvPFGYmNjGTduXBP2vv7qc9+nHThwwK7CZ1RUVGN21eU2b96MxWKp/Hr37t2cd955XH755arnt6Tf9breO7SM3/VnnnmGBQsWsGjRInr06MHff//NddddR3BwMLfffrvqc1z2e24TjaaoqMiWlJRkW7FihW3kyJG2O+64w+m5H374oS04OLjJ+tZYHnnkEVufPn1qff4VV1xhmzBhgt2xs846y3bzzTe7uGeNr6733lK+5zabzTZv3jzb8OHD6/Sce++919ajRw+7Y1OnTrWNGzfOlV1rVPW5799//90G2PLy8hqnU25yxx132Dp27GizWq2q7S3pd72qmu69pfyuT5gwwXb99dfbHZsyZYptxowZTp/jqt9zmQZqRLNnz2bChAmMHTu2VucbjUYSExOJj49n0qRJ7Nmzp5F72DgOHTpEXFwcHTp0YMaMGaSkpDg9d8OGDQ7vz7hx49iwYUNjd7NR1OXeoeV8z7/99lsGDhzI5ZdfTlRUFP369ePdd9+t9jkt4Xtfn/s+rW/fvsTGxnLeeeexbt26Ru5p4zKbzXzyySdcf/31TkcMWsL3W01t7h1axu/60KFDWbVqFQcPHgRgx44d/Pnnn4wfP97pc1z1fZdgpZF89tlnbN26lfnz59fq/C5duvDBBx/wzTff8Mknn2C1Whk6dCgnT55s5J661llnncXChQv5+eefWbBgAcnJyZxzzjkUFRWpnp+enk50dLTdsejo6GY3fw91v/eW8j0HOHr0KAsWLCApKYlffvmFWbNmcfvtt7No0SKnz3H2vS8sLKS0tLSxu+wS9bnv2NhY3nrrLZYuXcrSpUuJj49n1KhRbN26tQl77lrLly8nPz+fa6+91uk5Lel3/Uy1ufeW8rt+3333MW3aNLp27YqPjw/9+vVj7ty5zJgxw+lzXPZ7XqdxGFErKSkptqioKNuOHTsqj9U0DVSV2Wy2dezY0fbggw82Qg+bTl5eni0oKMj23nvvqbb7+PjYlixZYnfsjTfesEVFRTVF9xpVTfdeVXP+nvv4+NiGDBlid+y2226znX322U6fk5SUZHvqqafsjv3www82wFZSUtIo/XS1+ty3mhEjRtiuuuoqV3atSZ1//vm2iy66qNpzWurvem3uvarm+rv+6aef2tq2bWv79NNPbTt37rR99NFHtrCwMNvChQudPsdVv+cystIItmzZQmZmJv3790er1aLValmzZg2vvvoqWq3WLjHLmdNR6+HDh5ugx40nJCSEzp07O72PmJgYMjIy7I5lZGQQExPTFN1rVDXde1XN+XseGxtL9+7d7Y5169at2mkwZ9/7oKAgDAZDo/TT1epz32oGDx7cLL/vAMePH2flypXceOON1Z7XEn/Xa3vvVTXX3/V77rmncnSlV69eXH311dx5553VziC46vdcgpVGMGbMGHbt2sX27dsrHwMHDmTGjBls374db2/vGl/DYrGwa9cuYmNjm6DHjcdoNHLkyBGn9zFkyBBWrVpld2zFihUMGTKkKbrXqGq696qa8/d82LBhdisdAA4ePEhiYqLT57SE73197lvN9u3bm+X3HeDDDz8kKiqKCRMmVHteS/h+V1Xbe6+quf6ul5SU4OVlHzZ4e3tjtVqdPsdl3/d6jweJOqk6DXT11Vfb7rvvvsqvH3vsMdsvv/xiO3LkiG3Lli22adOm2Xx9fW179uxxQ2/r76677rKtXr3alpycbFu3bp1t7NixtoiICFtmZqbNZnO873Xr1tm0Wq3t+eeft+3bt8/2yCOP2Hx8fGy7du1y1y3UW13vvaV8z202m+2vv/6yabVa25NPPmk7dOiQbfHixTY/Pz/bJ598UnnOfffdZ7v66qsrvz569KjNz8/Pds8999j27dtne+ONN2ze3t62n3/+2R23UC/1ue+XXnrJtnz5ctuhQ4dsu3btst1xxx02Ly8v28qVK91xCw1isVhsCQkJtnnz5jm0teTfdZutbvfeUn7Xr7nmGlubNm1s33//vS05Odm2bNkyW0REhO3ee++tPKexfs8lWGkiVYOVkSNH2q655prKr+fOnWtLSEiw6XQ6W3R0tO3CCy+0bd26tek72kBTp061xcbG2nQ6na1Nmza2qVOn2g4fPlzZXvW+bTab7YsvvrB17tzZptPpbD169LD98MMPTdxr16jrvf9/e/ca09T9hwH8AZWW0YKCruIQHfeIFkdUwmYQFxjMxYhDp9EsxAEvXGKdkC1ZnMFtJgbmPXNBUcGw4BvJFN3qXqgsXuI1SDIvdSrROPAyxLBqpgyfvTCc2eEF/PMflT2f5CT9nd+v3/PtIU2fnJ7QvvI377Br1y6OHj2aJpOJcXFx3Lhxo8d8Tk4OJ02a5LFv//79HDt2LP38/BgREcHy8vJ/r+Ee0t3XXVxczMjISJrNZgYHBzM1NZX79u37l7vuGT/++CMB0OVydZrry+91snuvva+811tbW7lw4UKGh4fTbDYzIiKCixcv5r1794w1/6/3uQ/5jH89JyIiItKLdM+KiIiIeDWFFREREfFqCisiIiLi1RRWRERExKsprIiIiIhXU1gRERERr6awIiIiIl5NYUVERES8msKKiPQoHx8f7Nixo7fb6JIXqVeR/zKFFZE+4ubNm5g/fz7Cw8NhMpkwdOhQZGRk4NChQ73alzcEgqVLl2Ls2LHP/fzq6mqkpqYiKCgIFosFdrsdX3zxBW7dutVzTYrIEymsiPQR2dnZqKurw9atW3H+/HnU1NQgNTUVzc3Nvd3aC23x4sWYNWsWxo8fD6fTiZ9//hkrV65EfX09Kisre7s9kf+G/+lXjUTEK7S0tBAAa2trn7omNzeXgwcPptVq5eTJk3nq1CljvqioiAkJCSwtLWVYWBj9/f05c+ZM3r5921hz7NgxpqWlMSQkhIGBgUxJSeHJkyc9jgOA33333RPH/1RWVsa4uDiaTCbGxsZy/fr1xlxDQwMBsLq6mqmpqfT396fdbufhw4c9amzcuNHoOSsriytXrmRQUBBJsry8nAA8to4fUgPAsrIyZmVl0d/fn1FRUdy5c6dR9+jRowTANWvWPPGcPnruNm/ezOHDhzMgIIDz58/nn3/+yeLiYtpsNg4ZMoTLli174nkQkSdTWBHpA9ra2mixWPjRRx/xjz/+eOyatLQ0Tp06lcePH+f58+dZWFjIkJAQNjc3k3z4gRsQEMA333yTdXV1/OmnnxgVFcU5c+YYNfbu3cvKykqePXuWZ86cYW5uLm02G1tbW4013Qkr3377LUNDQ1ldXc1Lly6xurqawcHBrKioIPl3WImLi+Pu3bvpcrk4Y8YMjhgxgm1tbSTJgwcP0tfXl1999RVdLhfXr1/P4OBgI6zcvXuXhYWFjI+PZ1NTE5uamnj37l2jt7CwMFZVVfGXX36hw+GgxWIxzknH+P79+089/0VFRbRYLJwxYwZPnz7Nmpoa+vn5MSMjgwsWLOC5c+e4ZcsWAuCRI0eeWktEOlNYEekjtm/fzkGDBtFsNvP111/np59+yvr6epLkgQMHGBgY2CnIREZGcsOGDSQffuD269ePV69eNeadTid9fX3Z1NT02GO2t7fTarVy165dxr7uhJXIyEhWVVV57Pvyyy+ZnJxM8u+wsmnTJmP+9OnTBMCzZ8+SJGfNmsV33nnHo8bcuXONsNLx2hISEjodHwA/++wzY+x2uwmATqeTJPn222/Tbrc/tvdHFRUV8aWXXvIIbRkZGRw5ciTb29uNfbGxsVy+fPkz64mIJ92zItJHZGdno7GxETU1NcjMzERtbS0SExNRUVGB+vp6uN1uhISEwGKxGFtDQwMuXrxo1AgPD8crr7xijJOTk/HgwQO4XC4AwPXr15Gfn4/o6GgEBQUhMDAQbrcbV65c6Xa/d+7cwcWLF5Gbm+vR07Jlyzx6AgC73W48Dg0NBQDcuHEDAOByuTBhwgSP9f8cP82jtQMCAhAYGGjUJtnlOiNHjoTVajXGNpsNo0aNgq+vr8e+jtoi0nX9e7sBEek5ZrMZ6enpSE9Px5IlS5CXl4eioiJ8+OGHCA0NRW1tbafnDBw4sMv1c3Jy0NzcjLVr12LEiBEwmUxITk7G/fv3u92r2+0GAJSVlSEpKcljrl+/fh7jAQMGGI99fHwAAA8ePOj2MR/n0dod9Ttqx8TE4ODBg2hra+u0rit1nlZbRLpOV1ZE+rBRo0bhzp07SExMxLVr19C/f39ERUV5bIMHDzbWX7lyBY2Njcb4yJEj8PX1RWxsLADg0KFDcDgcmDJlCuLj42EymfDbb789V282mw3Dhg3DpUuXOvX06quvdrlObGwsjh8/7rHvn2M/Pz+0t7d3u8c5c+bA7Xbjm2++eez87du3u11TRLpPV1ZE+oDm5mbMnDkTH3zwAex2O6xWK06cOIGSkhJMmzYNaWlpSE5ORlZWFkpKShATE4PGxkZ8//33mD59OsaNGwfg4ZWZnJwcrFixAq2trXA4HHjvvfcwdOhQAEB0dDQqKysxbtw4tLa24uOPP4a/v/8z+2toaMCpU6c89kVHR+Pzzz+Hw+FAUFAQMjMzce/ePZw4cQItLS0oKCjo0mtfsGABUlJSsGrVKkydOhX79u2D0+k0rsAAD7+i6eghLCwMVqsVJpPpmbWTkpLwySefoLCwEL/++iumT5+OYcOG4cKFCygtLcXEiROxcOHCLvUpIs9PV1ZE+gCLxYKkpCSsXr0aKSkpGD16NJYsWYL8/Hx8/fXX8PHxwQ8//ICUlBTMmzcPMTExmD17Ni5fvgybzWbUiYqKwrvvvospU6bgrbfegt1u97iqsHnzZrS0tCAxMRHvv/8+HA4HXn755Wf2V1BQgNdee81jq6urQ15eHjZt2oTy8nKMGTMGkyZNQkVFRbeurLzxxhsoLS3FqlWrkJCQgD179mDRokUwm83GmuzsbGRmZmLy5MkYMmQItm3b1uX6xcXFqKqqwtGjR5GRkYH4+HgUFBTAbrcjJyeny3VE5Pn5sDt3kIlIn7V06VLs2LGj0xWQF1F+fj7OnTuHAwcO9HYrItID9DWQiLzwVqxYgfT0dAQEBMDpdGLr1q1PvM9ERF48Cisi8sI7duwYSkpK8PvvvyMiIgLr1q1DXl5eb7clIj1EXwOJiIiIV9MNtiIiIuLVFFZERETEqymsiIiIiFdTWBERERGvprAiIiIiXk1hRURERLyawoqIiIh4NYUVERER8Wp/Afm7HYf8hJ1UAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Adding hue on petal length to help differentiate`"
      ],
      "metadata": {
        "id": "qeTmzhIdI7Rf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.scatterplot(x=\"SepalLengthCm\", y=\"PetalLengthCm\", data=iris, hue=\"PetalLengthCm\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "ZY3AzVGGItSe",
        "outputId": "2851fae5-3cd5-4314-a152-0ddb652058b9"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Histogram/Dist Plot"
      ],
      "metadata": {
        "id": "F0u7d6cTJMTZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# import diamonds dataset\n",
        "import pandas as pd\n",
        "diamonds=pd.read_csv(\"diamonds.csv\")"
      ],
      "metadata": {
        "id": "VtD6Y2X3JGRt"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "diamonds.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "ZuSr4GvaKJBm",
        "outputId": "f8bde4f5-9cdb-4d15-d0b5-7ecba18300b6"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Unnamed: 0  carat      cut color clarity  depth  table  price     x     y  \\\n",
              "0           1   0.23    Ideal     E     SI2   61.5   55.0    326  3.95  3.98   \n",
              "1           2   0.21  Premium     E     SI1   59.8   61.0    326  3.89  3.84   \n",
              "2           3   0.23     Good     E     VS1   56.9   65.0    327  4.05  4.07   \n",
              "3           4   0.29  Premium     I     VS2   62.4   58.0    334  4.20  4.23   \n",
              "4           5   0.31     Good     J     SI2   63.3   58.0    335  4.34  4.35   \n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "diamonds",
              "summary": "{\n  \"name\": \"diamonds\",\n  \"rows\": 53940,\n  \"fields\": [\n    {\n      \"column\": \"Unnamed: 0\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 15571,\n        \"min\": 1,\n        \"max\": 53940,\n        \"num_unique_values\": 53940,\n        \"samples\": [\n          1389,\n          50053,\n          41646\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"carat\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.4740112444054184,\n        \"min\": 0.2,\n        \"max\": 5.01,\n        \"num_unique_values\": 273,\n        \"samples\": [\n          0.77,\n          1.58,\n          0.65\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cut\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Premium\",\n          \"Fair\",\n          \"Good\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"color\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 7,\n        \"samples\": [\n          \"E\",\n          \"I\",\n          \"G\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"clarity\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 8,\n        \"samples\": [\n          \"SI1\",\n          \"VVS1\",\n          \"SI2\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"depth\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.432621318833661,\n        \"min\": 43.0,\n        \"max\": 79.0,\n        \"num_unique_values\": 184,\n        \"samples\": [\n          61.0,\n          62.9,\n          70.2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"table\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.2344905628213225,\n        \"min\": 43.0,\n        \"max\": 95.0,\n        \"num_unique_values\": 127,\n        \"samples\": [\n          54.8,\n          61.5,\n          57.6\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"price\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3989,\n        \"min\": 326,\n        \"max\": 18823,\n        \"num_unique_values\": 11602,\n        \"samples\": [\n          16368,\n          895,\n          748\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"x\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1217607467924928,\n        \"min\": 0.0,\n        \"max\": 10.74,\n        \"num_unique_values\": 554,\n        \"samples\": [\n          5.88,\n          5.69,\n          4.61\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"y\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1421346741235552,\n        \"min\": 0.0,\n        \"max\": 58.9,\n        \"num_unique_values\": 552,\n        \"samples\": [\n          5.33,\n          5.61,\n          5.25\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"z\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7056988469499941,\n        \"min\": 0.0,\n        \"max\": 31.8,\n        \"num_unique_values\": 375,\n        \"samples\": [\n          3.36,\n          2.45,\n          2.7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Plotting histogram based on price`"
      ],
      "metadata": {
        "id": "mseMmZEwKNPa"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.histplot(diamonds['price'])\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "ye5lFoMWKKu9",
        "outputId": "38cfc299-450a-4e5d-f167-3cd6f532efc1"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Plotting only the frequency curve`"
      ],
      "metadata": {
        "id": "Pmf8falkK13x"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.distplot(diamonds['price'], hist=False)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 640
        },
        "id": "Adpdh6kQKoTX",
        "outputId": "f22dc346-3bfc-48f1-e3af-b29749cf0775"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-49-200d0cff6e5a>:1: UserWarning: \n",
            "\n",
            "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
            "\n",
            "Please adapt your code to use either `displot` (a figure-level function with\n",
            "similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
            "\n",
            "For a guide to updating your code to use the new functions, please see\n",
            "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
            "\n",
            "  sns.distplot(diamonds['price'], hist=False)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Adding color to distribution plot`"
      ],
      "metadata": {
        "id": "AElEZQF4LCW6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.histplot(diamonds['price'], color='green')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "XMMRwZcyK_PF",
        "outputId": "205b0127-606f-4ba8-ce12-d88f753fdc3a"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Plotting only the histogram`"
      ],
      "metadata": {
        "id": "E6SViYIlLVrC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.histplot(diamonds['price'], kde=False, color='red')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "ETf_sP8HLNFG",
        "outputId": "9f3adb9d-3dcd-4e3d-b5db-1a5883d18478"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Changing the number of bins`"
      ],
      "metadata": {
        "id": "ng5t1GnBLmfP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.histplot(diamonds['price'], kde=False, color='blue', bins=10)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "l7RN66M8LjLu",
        "outputId": "de524e52-dc78-458c-e48c-b1ba0ba2d7ec"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Plotting on vertical axis`"
      ],
      "metadata": {
        "id": "uc0_lXe3MT--"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.distplot(diamonds['price'], kde=False, color='blue', bins=5, vertical=True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 621
        },
        "id": "ozW3Lx2fLwFm",
        "outputId": "afb63a62-2938-43a8-88fa-ac03d56bde1f"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-8-a4288f857689>:1: UserWarning: \n",
            "\n",
            "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
            "\n",
            "Please adapt your code to use either `displot` (a figure-level function with\n",
            "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "\n",
            "For a guide to updating your code to use the new functions, please see\n",
            "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
            "\n",
            "  sns.distplot(diamonds['price'], kde=False, color='blue', bins=5, vertical=True)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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t2qSqqiqrJjs7W3FxcWrTpo1Vk5OT47ef7OxseTyeehwNAABoKhr0DNTRo0e1Z88ea72kpEQFBQVq27atoqKi9K//+q/69NNPtWrVKp06dcq6Jqlt27ZyOp3Ky8vTli1bNGDAALVu3Vp5eXmaOHGiHnzwQSscjRgxQtOmTVNKSoomT56soqIizZ8/X88//7z1vE888YR+9KMfac6cORo6dKhWrFihrVu3+t3qAAAAoIbDGGMa6slzc3M1YMCAWttHjx6tjIyMWhd/19iwYYPuuusuffrpp/r5z3+uXbt2qbKyUrGxsXrooYeUlpbm9/ZaYWGhUlNT9cknnygsLEyPP/64Jk+e7LfPlStXasqUKdq3b586d+6sWbNm6e67777osfh8PoWEhGjevAoFB5//bcbL5X/vygAAAC5Szet3RUXFBS8TOlODBqimhAAFAEDjU9cAFdDXQAEAAAQiAhQAAIBNBCgAAACbCFAAAAA2EaAAAABsIkABAADYRIACAACwiQAFAABgEwEKAADAJgIUAACATQQoAAAAmwhQAAAANhGgAAAAbGrR0B1A/Vm8+PLuf9y4y7t/AAAaC85AAQAA2ESAAgAAsIkABQAAYBMBCgAAwCYCFAAAgE0EKAAAAJsIUAAAADYRoAAAAGwiQAEAANhEgAIAALCJAAUAAGATAQoAAMAmAhQAAIBNBCgAAACbCFAAAAA2EaAAAABsIkABAADYRIACAACwiQAFAABgU50D1H/913/pjjvuUHR0tL788ktJ0rx58/TWW2/VW+cAAAACUZ0C1MKFC5WWlqa7775b5eXlOnXqlCQpNDRU8+bNq8/+AQAABJw6Bag//OEP+uMf/6hf//rXat68ubX9lltu0fbt2y96P5s2bdI999yj6OhoORwOZWVl+bUbYzR16lRFRUUpODhYiYmJ2r17t1/N4cOHNXLkSLndboWGhiolJUVHjx71qyksLFS/fv0UFBSkmJgYzZo1q1ZfVq5cqS5duigoKEjx8fFavXr1RY8DAABcXeoUoEpKStS7d+9a210ul44dO3bR+zl27Jh69uypBQsWnLV91qxZ+v3vf69FixZpy5Ytuuaaa5SUlKTvvvvOqhk5cqR27Nih7OxsrVq1Sps2bdK4ceOsdp/Pp0GDBql9+/bKz8/X7NmzlZGRocWLF1s1mzdv1vDhw5WSkqJt27YpOTlZycnJKioquuixAACAq0eLujwoNjZWBQUFat++vd/2NWvW6Oabb77o/QwZMkRDhgw5a5sxRvPmzdOUKVN03333SZL+/Oc/KyIiQllZWRo2bJg+//xzrVmzRp988oluueUWSd+fHbv77rv1u9/9TtHR0Vq+fLlOnjypJUuWyOl0qlu3biooKNDcuXOtoDV//nwNHjxYkyZNkiTNmDFD2dnZeuGFF7Ro0SLb8wMAAJq2Op2BSktLU2pqql577TUZY/Txxx/rP/7jP5Senq6nn366XjpWUlIir9erxMREa1tISIgSEhKUl5cnScrLy1NoaKgVniQpMTFRzZo105YtW6ya/v37y+l0WjVJSUkqLi7Wt99+a9Wc+Tw1NTXPczaVlZXy+Xx+CwAAuDrU6QzUI488ouDgYE2ZMkXHjx/XiBEjFB0drfnz52vYsGH10jGv1ytJioiI8NseERFhtXm9XoWHh/u1t2jRQm3btvWriY2NrbWPmrY2bdrI6/We93nOJjMzU9OmTavDyAAAQGNX59sYjBw5Urt379bRo0fl9Xr11VdfKSUlpT77FtDS09NVUVFhLfv372/oLgEAgCukTmegSkpKVF1drc6dO6tVq1Zq1aqVJGn37t1q2bKlbrzxxkvuWGRkpCSprKxMUVFR1vaysjL16tXLqjl48KDf46qrq3X48GHr8ZGRkSorK/OrqVm/UE1N+9m4XC65XK46jAwAADR2dToDNWbMGG3evLnW9i1btmjMmDGX2idJ31+oHhkZqZycHGubz+fTli1b5PF4JEkej0fl5eXKz8+3atavX6/Tp08rISHBqtm0aZOqqqqsmuzsbMXFxalNmzZWzZnPU1NT8zwAAABnqlOA2rZtm+64445a22+77TYVFBRc9H6OHj2qgoIC6zElJSUqKChQaWmpHA6HnnzySf37v/+73n77bW3fvl2jRo1SdHS0kpOTJUk333yzBg8erLFjx+rjjz/Whx9+qAkTJmjYsGGKjo6WJI0YMUJOp1MpKSnasWOHXnvtNc2fP19paWlWP5544gmtWbNGc+bM0a5du5SRkaGtW7dqwoQJdZkeAADQxNXpLTyHw6EjR47U2l5RUWHdlfxibN26VQMGDLDWa0LN6NGjtWzZMj399NM6duyYxo0bp/Lyct15551as2aNgoKCrMcsX75cEyZM0MCBA9WsWTPdf//9+v3vf2+1h4SEaO3atUpNTVXfvn0VFhamqVOn+t0r6vbbb9crr7yiKVOm6JlnnlHnzp2VlZWl7t2725oXAABwdXAYY4zdB91zzz0KDg7Wq6++at2J/NSpU3rggQd07Ngxvfvuu/Xe0UDn8/kUEhKiefMqFBzsbujuXBZnZE4AAJqEmtfviooKud0X//pdpzNQv/3tb9W/f3/FxcWpX79+kqT3339fPp9P69evr8suAQAAGo06XQPVtWtXFRYW6qc//akOHjyoI0eOaNSoUdq1axdvewEAgCavTmegJCk6Olq/+c1v6rMvAAAAjcJFB6jCwkJ1795dzZo1U2Fh4Xlre/TocckdAwAACFQXHaB69eplfXVKr1695HA4dLbrzx0Oh61P4gEAADQ2Fx2gSkpK1K5dO+tnAACAq9VFB6j27dtLkqqqqjRt2jQ9++yztb6kFwAA4Gpg+1N4LVu21H//939fjr4AAAA0CnW6jUFycrKysrLquSsAAACNQ51uY9C5c2dNnz5dH374ofr27atrrrnGr/0Xv/hFvXQOAAAgENXpq1zOd+2Tw+HQF198cUmdaoz4KhcAABqfK/pVLmd+Cq8mfzkcjrrsCgAAoNGp0zVQkvTyyy+re/fuCgoKUlBQkLp3766XXnqpPvsGAAAQkOp0Bmrq1KmaO3euHn/8cXk8HklSXl6eJk6cqNLSUk2fPr1eOwkAABBI6hSgFi5cqD/+8Y8aPny4te3ee+9Vjx499PjjjxOgAABAk1ant/Cqqqp0yy231Nret29fVVdXX3KnAAAAAlmdAtRDDz2khQsX1tq+ePFijRw58pI7BQAAEMjq9Bae9P1F5GvXrtVtt90mSdqyZYtKS0s1atQopaWlWXVz58699F4CAAAEkDoFqKKiIvXp00eStHfvXklSWFiYwsLCVFRUZNVxawMAANAU1SlAbdiwob77AQAA0GjU+T5QAAAAVysCFAAAgE0EKAAAAJsIUAAAADYRoAAAAGwiQAEAANhEgAIAALCJAAUAAGATAQoAAMAmAhQAAIBNBCgAAACbCFAAAAA2EaAAAABsIkABAADY1KKhO3AhN954o7788sta23/+859rwYIFuuuuu7Rx40a/tkcffVSLFi2y1ktLS/XYY49pw4YNuvbaazV69GhlZmaqRYv/G35ubq7S0tK0Y8cOxcTEaMqUKRozZsxlG1djtHhxQ/cAkjRuXEP3AAAQ8AHqk08+0alTp6z1oqIi/fM//7P+7d/+zdo2duxYTZ8+3Vpv1aqV9fOpU6c0dOhQRUZGavPmzTpw4IBGjRqlli1b6je/+Y0kqaSkREOHDtX48eO1fPly5eTk6JFHHlFUVJSSkpKuwCgBAEBjEvABql27dn7rM2fOVMeOHfWjH/3I2taqVStFRkae9fFr167Vzp07tW7dOkVERKhXr16aMWOGJk+erIyMDDmdTi1atEixsbGaM2eOJOnmm2/WBx98oOeff54ABQAAamlU10CdPHlSf/nLX/Szn/1MDofD2r58+XKFhYWpe/fuSk9P1/Hjx622vLw8xcfHKyIiwtqWlJQkn8+nHTt2WDWJiYl+z5WUlKS8vLxz9qWyslI+n89vAQAAV4eAPwN1pqysLJWXl/tdmzRixAi1b99e0dHRKiws1OTJk1VcXKw33nhDkuT1ev3CkyRr3ev1nrfG5/PpxIkTCg4OrtWXzMxMTZs2rT6HBwAAGolGFaBefvllDRkyRNHR0da2cWdcURsfH6+oqCgNHDhQe/fuVceOHS9bX9LT05WWlmat+3w+xcTEXLbnAwAAgaPRBKgvv/xS69ats84snUtCQoIkac+ePerYsaMiIyP18ccf+9WUlZVJknXdVGRkpLXtzBq3233Ws0+S5HK55HK56jQWAADQuDWaa6CWLl2q8PBwDR069Lx1BQUFkqSoqChJksfj0fbt23Xw4EGrJjs7W263W127drVqcnJy/PaTnZ0tj8dTjyMAAABNRaMIUKdPn9bSpUs1evRov3s37d27VzNmzFB+fr727dunt99+W6NGjVL//v3Vo0cPSdKgQYPUtWtXPfTQQ/rss8/03nvvacqUKUpNTbXOII0fP15ffPGFnn76ae3atUsvvviiXn/9dU2cOLFBxgsAAAJbowhQ69atU2lpqX72s5/5bXc6nVq3bp0GDRqkLl266KmnntL999+vv/3tb1ZN8+bNtWrVKjVv3lwej0cPPvigRo0a5XffqNjYWL3zzjvKzs5Wz549NWfOHL300kvcwgAAAJyVwxhjGroTTYHP51NISIjmzatQcLC7obuDJow7kQNA/al5/a6oqJDbffGv343iDBQAAEAgIUABAADYRIACAACwiQAFAABgEwEKAADAJgIUAACATQQoAAAAmwhQAAAANhGgAAAAbCJAAQAA2ESAAgAAsIkABQAAYBMBCgAAwCYCFAAAgE0EKAAAAJsIUAAAADYRoAAAAGwiQAEAANhEgAIAALCJAAUAAGATAQoAAMAmAhQAAIBNBCgAAACbCFAAAAA2EaAAAABsIkABAADYRIACAACwiQAFAABgEwEKAADAJgIUAACATQQoAAAAmwhQAAAANhGgAAAAbCJAAQAA2BTQASojI0MOh8Nv6dKli9X+3XffKTU1Vdddd52uvfZa3X///SorK/PbR2lpqYYOHapWrVopPDxckyZNUnV1tV9Nbm6u+vTpI5fLpU6dOmnZsmVXYngAAKCRCugAJUndunXTgQMHrOWDDz6w2iZOnKi//e1vWrlypTZu3Kivv/5aP/nJT6z2U6dOaejQoTp58qQ2b96sP/3pT1q2bJmmTp1q1ZSUlGjo0KEaMGCACgoK9OSTT+qRRx7Re++9d0XHCQAAGo8WDd2BC2nRooUiIyNrba+oqNDLL7+sV155Rf/0T/8kSVq6dKluvvlmffTRR7rtttu0du1a7dy5U+vWrVNERIR69eqlGTNmaPLkycrIyJDT6dSiRYsUGxurOXPmSJJuvvlmffDBB3r++eeVlJR0RccKAAAah4A/A7V7925FR0erQ4cOGjlypEpLSyVJ+fn5qqqqUmJiolXbpUsX3XDDDcrLy5Mk5eXlKT4+XhEREVZNUlKSfD6fduzYYdWcuY+ampp9AAAA/KOAPgOVkJCgZcuWKS4uTgcOHNC0adPUr18/FRUVyev1yul0KjQ01O8xERER8nq9kiSv1+sXnmraa9rOV+Pz+XTixAkFBweftW+VlZWqrKy01n0+3yWNFQAANB4BHaCGDBli/dyjRw8lJCSoffv2ev31188ZbK6UzMxMTZs2rUH7AAAAGkbAv4V3ptDQUN10003as2ePIiMjdfLkSZWXl/vVlJWVWddMRUZG1vpUXs36hWrcbvd5Q1p6eroqKiqsZf/+/Zc6PAAA0Eg0qgB19OhR7d27V1FRUerbt69atmypnJwcq724uFilpaXyeDySJI/Ho+3bt+vgwYNWTXZ2ttxut7p27WrVnLmPmpqafZyLy+WS2+32WwAAwNUhoAPUL3/5S23cuFH79u3T5s2b9eMf/1jNmzfX8OHDFRISopSUFKWlpWnDhg3Kz8/Xww8/LI/Ho9tuu02SNGjQIHXt2lUPPfSQPvvsM7333nuaMmWKUlNT5XK5JEnjx4/XF198oaefflq7du3Siy++qNdff10TJ05syKEDAIAAFtDXQH311VcaPny4Dh06pHbt2unOO+/URx99pHbt2kmSnn/+eTVr1kz333+/KisrlZSUpBdffNF6fPPmzbVq1So99thj8ng8uuaaazR69GhNnz7dqomNjdU777yjiRMnav78+br++uv10ksvcQsDAABwTg5jjGnoTjQFPp9PISEhmjevQsHBvJ2Hy2fcuIbuAQA0HTWv3xUVFbYuxwnot/AAAAACEQEKAADAJgIUAACATQQoAAAAmwhQAAAANhGgAAAAbCJAAQAA2ESAAgAAsIkABQAAYBMBCgAAwCYCFAAAgE0B/WXCAGpbvLihewAAV16gfQ8oZ6AAAABsIkABAADYRIACAACwiQAFAABgEwEKAADAJgIUAACATQQoAAAAmwhQAAAANhGgAAAAbCJAAQAA2ESAAgAAsIkABQAAYBMBCgAAwCYCFAAAgE0EKAAAAJsIUAAAADYRoAAAAGwiQAEAANhEgAIAALCJAAUAAGATAQoAAMAmAhQAAIBNBCgAAACbAjpAZWZm6oc//KFat26t8PBwJScnq7i42K/mrrvuksPh8FvGjx/vV1NaWqqhQ4eqVatWCg8P16RJk1RdXe1Xk5ubqz59+sjlcqlTp05atmzZ5R4eAABopAI6QG3cuFGpqan66KOPlJ2draqqKg0aNEjHjh3zqxs7dqwOHDhgLbNmzbLaTp06paFDh+rkyZPavHmz/vSnP2nZsmWaOnWqVVNSUqKhQ4dqwIABKigo0JNPPqlHHnlE77333hUbKwAAaDwcxhjT0J24WN98843Cw8O1ceNG9e/fX9L3Z6B69eqlefPmnfUx7777rv7lX/5FX3/9tSIiIiRJixYt0uTJk/XNN9/I6XRq8uTJeuedd1RUVGQ9btiwYSovL9eaNWsuqm8+n08hISGaN69CwcHuSxsoAADwM27c5dlvzet3RUWF3O6Lf/0O6DNQ/6iiokKS1LZtW7/ty5cvV1hYmLp376709HQdP37casvLy1N8fLwVniQpKSlJPp9PO3bssGoSExP99pmUlKS8vLxz9qWyslI+n89vAQAAV4cWDd2Bi3X69Gk9+eSTuuOOO9S9e3dr+4gRI9S+fXtFR0ersLBQkydPVnFxsd544w1Jktfr9QtPkqx1r9d73hqfz6cTJ04oODi4Vn8yMzM1bdq0eh0jAABoHBpNgEpNTVVRUZE++OADv+3jzjinFx8fr6ioKA0cOFB79+5Vx44dL1t/0tPTlZaWZq37fD7FxMRctucDAACBo1G8hTdhwgStWrVKGzZs0PXXX3/e2oSEBEnSnj17JEmRkZEqKyvzq6lZj4yMPG+N2+0+69knSXK5XHK73X4LAAC4OgR0gDLGaMKECXrzzTe1fv16xcbGXvAxBQUFkqSoqChJksfj0fbt23Xw4EGrJjs7W263W127drVqcnJy/PaTnZ0tj8dTTyMBAABNSUAHqNTUVP3lL3/RK6+8otatW8vr9crr9erEiROSpL1792rGjBnKz8/Xvn379Pbbb2vUqFHq37+/evToIUkaNGiQunbtqoceekifffaZ3nvvPU2ZMkWpqalyuVySpPHjx+uLL77Q008/rV27dunFF1/U66+/rokTJzbY2AEAQOAK6NsYOByOs25funSpxowZo/379+vBBx9UUVGRjh07ppiYGP34xz/WlClT/N5S+/LLL/XYY48pNzdX11xzjUaPHq2ZM2eqRYv/uwQsNzdXEydO1M6dO3X99dfr2Wef1ZgxYy66r9zGAACAyyfQbmMQ0AGqMSFAAQBw+QRagArot/AAAAACEQEKAADAJgIUAACATQQoAAAAmwhQAAAANhGgAAAAbCJAAQAA2ESAAgAAsIkABQAAYBMBCgAAwCYCFAAAgE0EKAAAAJsIUAAAADYRoAAAAGwiQAEAANhEgAIAALCJAAUAAGATAQoAAMAmAhQAAIBNBCgAAACbCFAAAAA2EaAAAABsIkABAADYRIACAACwiQAFAABgEwEKAADAJgIUAACATQQoAAAAmwhQAAAANhGgAAAAbCJAAQAA2ESAAgAAsKlFQ3egqXn4YcntbuheAACAy4kzUAAAADYRoP7BggULdOONNyooKEgJCQn6+OOPG7pLAAAgwBCgzvDaa68pLS1Nzz33nD799FP17NlTSUlJOnjwYEN3DQAABBAC1Bnmzp2rsWPH6uGHH1bXrl21aNEitWrVSkuWLGnorgEAgABCgPpfJ0+eVH5+vhITE61tzZo1U2JiovLy8mrVV1ZWyufz+S0AAODqQID6X3//+9916tQpRURE+G2PiIiQ1+utVZ+ZmamQkBBriYmJuVJdBQAADYwAVUfp6emqqKiwlv379zd0lwAAwBXCfaD+V1hYmJo3b66ysjK/7WVlZYqMjKxV73K55HK5rlT3AABAAOEM1P9yOp3q27evcnJyrG2nT59WTk6OPB5PA/YMAAAEGs5AnSEtLU2jR4/WLbfcoltvvVXz5s3TsWPH9PDDDzd01wAAQAAhQJ3hgQce0DfffKOpU6fK6/WqV69eWrNmTa0LywEAwNXNYYwxDd2JpsDn8ykkJEQVFRVy82V4AAA0CnV9/eYaKAAAAJsIUAAAADYRoAAAAGziIvJ6UnMpGV/pAgBA41Hzum33knACVD05dOiQJPGVLgAANEJHjhxRSEjIRdcToOpJ27ZtJUmlpaW2fgFNlc/nU0xMjPbv38+nEsV8nA1z4o/58Md8+GM+/NXnfBhjdOTIEUVHR9t6HAGqnjRr9v3lZCEhIRzcZ3C73czHGZiP2pgTf8yHP+bDH/Phr77moy4nPriIHAAAwCYCFAAAgE0EqHricrn03HPPyeVyNXRXAgLz4Y/5qI058cd8+GM+/DEf/gJhPvgqFwAAAJs4AwUAAGATAQoAAMAmAhQAAIBNBCgAAACbCFD1ZMGCBbrxxhsVFBSkhIQEffzxxw3dpUuWkZEhh8Pht3Tp0sVq/+6775SamqrrrrtO1157re6//36VlZX57aO0tFRDhw5Vq1atFB4erkmTJqm6utqvJjc3V3369JHL5VKnTp20bNmyKzG8C9q0aZPuueceRUdHy+FwKCsry6/dGKOpU6cqKipKwcHBSkxM1O7du/1qDh8+rJEjR8rtdis0NFQpKSk6evSoX01hYaH69eunoKAgxcTEaNasWbX6snLlSnXp0kVBQUGKj4/X6tWr6328F3Kh+RgzZkyt42Xw4MF+NU1pPjIzM/XDH/5QrVu3Vnh4uJKTk1VcXOxXcyX/Rhr6f9DFzMddd91V6xgZP368X01TmY+FCxeqR48e1o0ePR6P3n33Xav9ajo2pAvPR6M8Ngwu2YoVK4zT6TRLliwxO3bsMGPHjjWhoaGmrKysobt2SZ577jnTrVs3c+DAAWv55ptvrPbx48ebmJgYk5OTY7Zu3Wpuu+02c/vtt1vt1dXVpnv37iYxMdFs27bNrF692oSFhZn09HSr5osvvjCtWrUyaWlpZufOneYPf/iDad68uVmzZs0VHevZrF692vz61782b7zxhpFk3nzzTb/2mTNnmpCQEJOVlWU+++wzc++995rY2Fhz4sQJq2bw4MGmZ8+e5qOPPjLvv/++6dSpkxk+fLjVXlFRYSIiIszIkSNNUVGRefXVV01wcLD5z//8T6vmww8/NM2bNzezZs0yO3fuNFOmTDEtW7Y027dvv+xzcKYLzcfo0aPN4MGD/Y6Xw4cP+9U0pflISkoyS5cuNUVFRaagoMDcfffd5oYbbjBHjx61aq7U30gg/A+6mPn40Y9+ZMaOHet3jFRUVFjtTWk+3n77bfPOO++Y//mf/zHFxcXmmWeeMS1btjRFRUXGmKvr2DDmwvPRGI8NAlQ9uPXWW01qaqq1furUKRMdHW0yMzMbsFeX7rnnnjM9e/Y8a1t5eblp2bKlWblypbXt888/N5JMXl6eMeb7F9xmzZoZr9dr1SxcuNC43W5TWVlpjDHm6aefNt26dfPb9wMPPGCSkpLqeTSX5h8Dw+nTp01kZKSZPXu2ta28vNy4XC7z6quvGmOM2blzp5FkPvnkE6vm3XffNQ6Hw/y///f/jDHGvPjii6ZNmzbWfBhjzOTJk01cXJy1/tOf/tQMHTrUrz8JCQnm0Ucfrdcx2nGuAHXfffed8zFNeT6MMebgwYNGktm4caMx5sr+jQTi/6B/nA9jvn+RfOKJJ875mKY8H8YY06ZNG/PSSy9d9cdGjZr5MKZxHhu8hXeJTp48qfz8fCUmJlrbmjVrpsTEROXl5TVgz+rH7t27FR0drQ4dOmjkyJEqLS2VJOXn56uqqspv3F26dNENN9xgjTsvL0/x8fGKiIiwapKSkuTz+bRjxw6r5sx91NQE+tyVlJTI6/X69T0kJEQJCQl+4w8NDdUtt9xi1SQmJqpZs2basmWLVdO/f385nU6rJikpScXFxfr222+tmsYyR7m5uQoPD1dcXJwee+wxHTp0yGpr6vNRUVEh6f++WPxK/Y0E6v+gf5yPGsuXL1dYWJi6d++u9PR0HT9+3GprqvNx6tQprVixQseOHZPH47nqj41/nI8aje3Y4MuEL9Hf//53nTp1yu+XKkkRERHatWtXA/WqfiQkJGjZsmWKi4vTgQMHNG3aNPXr109FRUXyer1yOp0KDQ31e0xERIS8Xq8kyev1nnVeatrOV+Pz+XTixAkFBwdfptFdmpr+n63vZ44tPDzcr71FixZq27atX01sbGytfdS0tWnT5pxzVLOPQDF48GD95Cc/UWxsrPbu3atnnnlGQ4YMUV5enpo3b96k5+P06dN68skndccdd6h79+6SdMX+Rr799tuA+x90tvmQpBEjRqh9+/aKjo5WYWGhJk+erOLiYr3xxhuSmt58bN++XR6PR999952uvfZavfnmm+ratasKCgquymPjXPMhNc5jgwCFcxoyZIj1c48ePZSQkKD27dvr9ddfD9hgg4YzbNgw6+f4+Hj16NFDHTt2VG5urgYOHNiAPbv8UlNTVVRUpA8++KChuxIQzjUf48aNs36Oj49XVFSUBg4cqL1796pjx45XupuXXVxcnAoKClRRUaG//vWvGj16tDZu3NjQ3Wow55qPrl27Nspjg7fwLlFYWJiaN29e69MTZWVlioyMbKBeXR6hoaG66aabtGfPHkVGRurkyZMqLy/3qzlz3JGRkWedl5q289W43e6ADmk1/T/f7z0yMlIHDx70a6+urtbhw4frZY4C/fjq0KGDwsLCtGfPHklNdz4mTJigVatWacOGDbr++uut7VfqbyTQ/gedaz7OJiEhQZL8jpGmNB9Op1OdOnVS3759lZmZqZ49e2r+/PlX7bFxrvk4m8ZwbBCgLpHT6VTfvn2Vk5NjbTt9+rRycnL83tttCo4ePaq9e/cqKipKffv2VcuWLf3GXVxcrNLSUmvcHo9H27dv93vRzM7Oltvttk7bejwev33U1AT63MXGxioyMtKv7z6fT1u2bPEbf3l5ufLz862a9evX6/Tp09Y/B4/Ho02bNqmqqsqqyc7OVlxcnNq0aWPVNMY5+uqrr3To0CFFRUVJanrzYYzRhAkT9Oabb2r9+vW13nq8Un8jgfI/6ELzcTYFBQWS5HeMNJX5OJvTp0+rsrLyqjs2zqVmPs6mURwbti87Ry0rVqwwLpfLLFu2zOzcudOMGzfOhIaG+n1aoDF66qmnTG5urikpKTEffvihSUxMNGFhYebgwYPGmO8/hnvDDTeY9evXm61btxqPx2M8Ho/1+JqPnQ4aNMgUFBSYNWvWmHbt2p31Y6eTJk0yn3/+uVmwYEHA3MbgyJEjZtu2bWbbtm1Gkpk7d67Ztm2b+fLLL40x39/GIDQ01Lz11lumsLDQ3HfffWe9jUHv3r3Nli1bzAcffGA6d+7s97H98vJyExERYR566CFTVFRkVqxYYVq1alXrY/stWrQwv/vd78znn39unnvuuQb52P755uPIkSPml7/8pcnLyzMlJSVm3bp1pk+fPqZz587mu+++a5Lz8dhjj5mQkBCTm5vr99Hr48ePWzVX6m8kEP4HXWg+9uzZY6ZPn262bt1qSkpKzFtvvWU6dOhg+vfv3yTn41e/+pXZuHGjKSkpMYWFheZXv/qVcTgcZu3atcaYq+vYMOb889FYjw0CVD35wx/+YG644QbjdDrNrbfeaj766KOG7tIle+CBB0xUVJRxOp3mBz/4gXnggQfMnj17rPYTJ06Yn//856ZNmzamVatW5sc//rE5cOCA3z727dtnhgwZYoKDg01YWJh56qmnTFVVlV/Nhg0bTK9evYzT6TQdOnQwS5cuvRLDu6ANGzYYSbWW0aNHG2O+v5XBs88+ayIiIozL5TIDBw40xcXFfvs4dOiQGT58uLn22muN2+02Dz/8sDly5IhfzWeffWbuvPNO43K5zA9+8AMzc+bMWn15/fXXzU033WScTqfp1q2beeeddy7buM/lfPNx/PhxM2jQINOuXTvTsmVL0759ezN27Nha/5Sa0nycbS4k+R2/V/JvpKH/B11oPkpLS03//v1N27ZtjcvlMp06dTKTJk3yu9ePMU1nPn72s5+Z9u3bG6fTadq1a2cGDhxohSdjrq5jw5jzz0djPTYcxhhj/7wVAADA1YtroAAAAGwiQAEAANhEgAIAALCJAAUAAGATAQoAAMAmAhQAAIBNBCgAAACbCFAAAAA2EaAAAABsIkABAADYRIACAACwiQAFAABg0/8H7FKVOgXXdtcAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Boxplot"
      ],
      "metadata": {
        "id": "hJ3pD-M3fEV6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#import telco churn dataset\n",
        "churn=pd.read_csv('Churn.csv')"
      ],
      "metadata": {
        "id": "z_M-zObAMcNm"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "churn.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 342
        },
        "id": "np2xyfGwfy3H",
        "outputId": "c2c0c75a-fe4a-4378-a9f9-aa70ec6bdd46"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   customerID  gender  SeniorCitizen Partner Dependents  tenure PhoneService  \\\n",
              "0  7590-VHVEG  Female              0     Yes         No       1           No   \n",
              "1  5575-GNVDE    Male              0      No         No      34          Yes   \n",
              "2  3668-QPYBK    Male              0      No         No       2          Yes   \n",
              "3  7795-CFOCW    Male              0      No         No      45           No   \n",
              "4  9237-HQITU  Female              0      No         No       2          Yes   \n",
              "\n",
              "      MultipleLines InternetService OnlineSecurity  ... DeviceProtection  \\\n",
              "0  No phone service             DSL             No  ...               No   \n",
              "1                No             DSL            Yes  ...              Yes   \n",
              "2                No             DSL            Yes  ...               No   \n",
              "3  No phone service             DSL            Yes  ...              Yes   \n",
              "4                No     Fiber optic             No  ...               No   \n",
              "\n",
              "  TechSupport StreamingTV StreamingMovies        Contract PaperlessBilling  \\\n",
              "0          No          No              No  Month-to-month              Yes   \n",
              "1          No          No              No        One year               No   \n",
              "2          No          No              No  Month-to-month              Yes   \n",
              "3         Yes          No              No        One year               No   \n",
              "4          No          No              No  Month-to-month              Yes   \n",
              "\n",
              "               PaymentMethod MonthlyCharges  TotalCharges Churn  \n",
              "0           Electronic check          29.85         29.85    No  \n",
              "1               Mailed check          56.95        1889.5    No  \n",
              "2               Mailed check          53.85        108.15   Yes  \n",
              "3  Bank transfer (automatic)          42.30       1840.75    No  \n",
              "4           Electronic check          70.70        151.65   Yes  \n",
              "\n",
              "[5 rows x 21 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-8facb2b8-ea22-4d4c-b439-bf6eeb302118\" 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>customerID</th>\n",
              "      <th>gender</th>\n",
              "      <th>SeniorCitizen</th>\n",
              "      <th>Partner</th>\n",
              "      <th>Dependents</th>\n",
              "      <th>tenure</th>\n",
              "      <th>PhoneService</th>\n",
              "      <th>MultipleLines</th>\n",
              "      <th>InternetService</th>\n",
              "      <th>OnlineSecurity</th>\n",
              "      <th>...</th>\n",
              "      <th>DeviceProtection</th>\n",
              "      <th>TechSupport</th>\n",
              "      <th>StreamingTV</th>\n",
              "      <th>StreamingMovies</th>\n",
              "      <th>Contract</th>\n",
              "      <th>PaperlessBilling</th>\n",
              "      <th>PaymentMethod</th>\n",
              "      <th>MonthlyCharges</th>\n",
              "      <th>TotalCharges</th>\n",
              "      <th>Churn</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>7590-VHVEG</td>\n",
              "      <td>Female</td>\n",
              "      <td>0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>1</td>\n",
              "      <td>No</td>\n",
              "      <td>No phone service</td>\n",
              "      <td>DSL</td>\n",
              "      <td>No</td>\n",
              "      <td>...</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Electronic check</td>\n",
              "      <td>29.85</td>\n",
              "      <td>29.85</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>5575-GNVDE</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>34</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>DSL</td>\n",
              "      <td>Yes</td>\n",
              "      <td>...</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>One year</td>\n",
              "      <td>No</td>\n",
              "      <td>Mailed check</td>\n",
              "      <td>56.95</td>\n",
              "      <td>1889.5</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3668-QPYBK</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>2</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>DSL</td>\n",
              "      <td>Yes</td>\n",
              "      <td>...</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Mailed check</td>\n",
              "      <td>53.85</td>\n",
              "      <td>108.15</td>\n",
              "      <td>Yes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>7795-CFOCW</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>45</td>\n",
              "      <td>No</td>\n",
              "      <td>No phone service</td>\n",
              "      <td>DSL</td>\n",
              "      <td>Yes</td>\n",
              "      <td>...</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>One year</td>\n",
              "      <td>No</td>\n",
              "      <td>Bank transfer (automatic)</td>\n",
              "      <td>42.30</td>\n",
              "      <td>1840.75</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>9237-HQITU</td>\n",
              "      <td>Female</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>2</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>Fiber optic</td>\n",
              "      <td>No</td>\n",
              "      <td>...</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Electronic check</td>\n",
              "      <td>70.70</td>\n",
              "      <td>151.65</td>\n",
              "      <td>Yes</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 21 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8facb2b8-ea22-4d4c-b439-bf6eeb302118')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-8facb2b8-ea22-4d4c-b439-bf6eeb302118 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-8facb2b8-ea22-4d4c-b439-bf6eeb302118');\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",
              "\n",
              "\n",
              "<div id=\"df-0dfc7de9-374b-4503-a5ee-6870d0a0023d\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0dfc7de9-374b-4503-a5ee-6870d0a0023d')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-0dfc7de9-374b-4503-a5ee-6870d0a0023d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "churn"
            }
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Plotting based on churn and tenure column`"
      ],
      "metadata": {
        "id": "wAlJ3Ocgf3eJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.boxplot(x='Churn', y='tenure', data=churn)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "0617J_G_f0mm",
        "outputId": "ce881f73-5189-4a19-9c4e-7d80758d0b11"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Churn', ylabel='tenure'>"
            ]
          },
          "metadata": {},
          "execution_count": 11
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Plotting based on internet service and monthly chargres`"
      ],
      "metadata": {
        "id": "Yb9qfQ5lgZWG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.boxplot(x='InternetService', y='MonthlyCharges', data=churn)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "JEkrVQ6TgU9W",
        "outputId": "899b5daa-bba3-4019-e846-3f5bf0a5c941"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='InternetService', ylabel='MonthlyCharges'>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Plotting based on contract`"
      ],
      "metadata": {
        "id": "hZ2fuENAg-Vd"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.boxplot(x='Contract', y='tenure', data=churn, palette='Set1')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 573
        },
        "id": "pOso-mmNgnvH",
        "outputId": "bbe61ce0-420a-4e8f-8cee-83ba66566a48"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-13-157b8a68204d>:1: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.boxplot(x='Contract', y='tenure', data=churn, palette='Set1')\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Contract', ylabel='tenure'>"
            ]
          },
          "metadata": {},
          "execution_count": 13
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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15MgRNWrUSNdcc422bNmiRo0aSZKeffZZ1atXTwMHDlRxcbESExM1f/58K0sGAAAexNIgs3z58nOu9/f3V0pKilJSUmqpIgAAYCceNUcGAACgKiy/sy8A4MJRlldmdQnwALV5HBBkAAB/mNPplK+vj05s/tXqUuAhfH19auUWKAQZAMAfFh4erhdeeLHOPxYmIyNDycnJmjx5cp2/GavT6VR4eHiN74cgAwBwi/Dw8Fr5wWUHMTExio2NtbqMOoHJvgAAwLYIMgAAwLYIMgAAwLYIMgAAwLYIMgAAwLYIMgAAwLYIMgAAwLYIMgAAwLYIMgAAwLYIMgAAwLYIMgAAwLYIMgAAwLYIMgAAwLYIMgAAwLYIMgAAwLa8rS4AwB/wa67VFcATcBygDiPIADbm2Pe51SUAgKUIMoCNGc3/JAWEWF0GrPZrLqEWdRZBBrCzgBCpQUOrqwAAyzDZFwAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2JbHBJmZM2fK4XDogQceMNuKioqUlJSkhg0bKjAwUAMHDlR2drZ1RQIAAI/iEUHmyy+/1PPPP6/LL7/cpf3BBx/U+++/rxUrVmjDhg06ePCgBgwYYFGVAADA01geZAoLCzVkyBC98MILCg0NNdvz8vK0ePFizZo1S7169VLHjh21ZMkS/fvf/9aWLVsq3V5xcbHy8/NdFgAAcGGqVpD5/PPPdccddyg+Pl6//PKLJOnVV1/VF198UeVtJSUlqW/fvkpISHBpT0tLU2lpqUt7mzZt1LRpU23evLnS7c2YMUPBwcHmEhMTU+WaAACAPVQ5yLzzzjtKTExUQECAvv76axUXF0s6NYIyffr0Km1r+fLl2rZtm2bMmHHGuqysLPn6+iokJMSlPSIiQllZWZVuc8qUKcrLyzOXjIyMKtUEAADso8pB5sknn9TChQv1wgsvyMfHx2zv1q2btm3bdt7bycjI0P3336/XX39d/v7+VS2jUn5+fnI6nS4LAAC4MFU5yOzYsUPdu3c/oz04OFi5ubnnvZ20tDTl5OSoQ4cO8vb2lre3tzZs2KC5c+fK29tbERERKikpOWOb2dnZioyMrGrZAADgAlTlIBMZGaldu3ad0f7FF1+oZcuW572d3r1769tvv9X27dvN5aqrrtKQIUPM1z4+PkpNTTU/s2PHDu3fv1/x8fFVLRsAAFyAvKv6gTFjxuj+++/XSy+9JIfDoYMHD2rz5s2aOHGiHnnkkfPeTlBQkC699FKXtgYNGqhhw4Zm++jRozV+/HiFhYXJ6XRq7Nixio+PV5cuXapaNgAAuABVOcg89NBDKi8vV+/evXXixAl1795dfn5+mjhxosaOHevW4p599lnVq1dPAwcOVHFxsRITEzV//ny37gMAANhXlYJMWVmZNm3apKSkJE2aNEm7du1SYWGh2rZtq8DAwD9czPr1613e+/v7KyUlRSkpKX942wAA4MJTpSDj5eWl66+/Xunp6QoJCVHbtm1rqi4AAIDfVeXJvpdeeqn27NlTE7UAAABUSbXuIzNx4kR98MEHyszM5HEAAADAMlWe7HvDDTdIkv7yl7/I4XCY7YZhyOFwqKyszH3VAQAAnEOVg8xnn31WE3UAAABUWZWDTI8ePWqiDgAAgCqrcpDZuHHjOdef7fEFAAAANaHKQaZnz55ntP12rgxzZAAAQG2p8lVLx44dc1lycnK0Zs0aderUSR9//HFN1AgAAHBWVR6RCQ4OPqPtuuuuk6+vr8aPH6+0tDS3FAYAAPB7qjwiU5mIiAjt2LHDXZsDAAD4XVUekfnvf//r8t4wDGVmZmrmzJm64oor3FUXAADA76pykLniiivkcDhkGIZLe5cuXfTSSy+5rTAAAIDfU+Ugs3fvXpf39erVU6NGjeTv7++2ogAAAM5HlYNMs2bNaqIOAACAKqtykJGk1NRUpaamKicnR+Xl5S7rOL0EAABqS5WDzLRp0/T444/rqquuUuPGjV1uhgcAAFCbqhxkFi5cqKVLl2ro0KE1UQ8AAMB5q/J9ZEpKStS1a9eaqAUAAKBKqhxk7rzzTi1btqwmagEAAKiSKp9aKioq0qJFi7Ru3Tpdfvnl8vHxcVk/a9YstxUHAABwLtW6s2/FHXy/++47l3VM/AUAALWpykHms88+q4k6AAAAqqzaD43ctWuX1q5dq19//VWSznhkAQAAQE2rcpA5cuSIevfurUsuuUQ33HCDMjMzJUmjR4/WhAkT3F4gAABAZaocZB588EH5+Pho//79ql+/vtk+ePBgrVmzxq3FAQAAnEuV58h8/PHHWrt2raKjo13aW7VqpZ9//tlthQEAAPyeKo/IHD9+3GUkpsLRo0fl5+fnlqIAAADOR5WDzJ/+9Ce98sor5nuHw6Hy8nIlJyfr2muvdWtxAAAA51LlU0vJycnq3bu3vvrqK5WUlGjy5Mn6/vvvdfToUW3atKkmagQAADirKo/IOJ1Opaen65prrlH//v11/PhxDRgwQF9//fUZd/kFAACoSVUekWnRooUyMzP1j3/8w6X9yJEjio6OVllZmduKAwAAOJcqj8hUduO7wsJC+fv7/+GCAAAAztd5j8iMHz9e0qnJvY8++qjLlUtlZWXaunWr+QwmAACA2nDeQebrr7+WdGpE5ttvv5Wvr6+5ztfXV+3bt9fEiRPdXyEAAEAlzjvIVDwscuTIkZozZ46cTucf3vmCBQu0YMEC7du3T5LUrl07Pfroo+rTp48kqaioSBMmTNDy5ctVXFysxMREzZ8/XxEREX943wAAwP6qPEdmyZIlbgkxkhQdHa2ZM2cqLS1NX331lXr16qX+/fvr+++/l3TqcQjvv/++VqxYoQ0bNujgwYMaMGCAW/YNAADsr8pXLblTv379XN4/9dRTWrBggbZs2aLo6GgtXrxYy5YtU69evSSdClFxcXHasmWLunTpYkXJAADAg1R5RKamlJWVafny5Tp+/Lji4+OVlpam0tJSJSQkmH3atGmjpk2bavPmzZVup7i4WPn5+S4LAAC4MFkeZL799lsFBgbKz89Pd999t9599121bdtWWVlZ8vX1VUhIiEv/iIgIZWVlVbq9GTNmKDg42FxiYmJq+E8AAACsYnmQad26tbZv366tW7fqnnvu0fDhw/XDDz9Ue3tTpkxRXl6euWRkZLixWgAA4EksnSMjnbp0OzY2VpLUsWNHffnll5ozZ44GDx6skpIS5ebmuozKZGdnKzIystLt+fn58RRuAADqCMtHZE5XXl6u4uJidezYUT4+PkpNTTXX7dixQ/v371d8fLyFFQIAAE9h6YjMlClT1KdPHzVt2lQFBQVatmyZ1q9fr7Vr1yo4OFijR4/W+PHjFRYWJqfTqbFjxyo+Pr7Wr1jKyclh0rBknqbjdN2ph6eGh4dbXQYA1HmWBpmcnBwNGzZMmZmZCg4O1uWXX661a9fquuuukyQ9++yzqlevngYOHOhyQ7zarvGuO+9UcWlpre7XkyUnJ1tdguX8fHy06MUXCTMAYDFLg8zixYvPud7f318pKSlKSUmppYrOlJ+fr+LSUt2SX6BGPNkbkg55eeltZ5Dy8/MJMgBgMcsn+9pFo7IyRZ0kyAAA4Ek8brIvAADA+SLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2+KqJcDOinKtrgCegOMAdRhBBrAhp9MpH19fle793OpS4CF8fH3ldDqtLgOodQQZwIbCw8P14gsv1PlHZ2RkZCg5OVmTJ09WTEyM1eVYisdmoK4iyAA2FR4ezg+u/xUTE6PY2FirywBgASb7AgAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA2yLIAAAA27I0yMyYMUOdOnVSUFCQwsPDddNNN2nHjh0ufYqKipSUlKSGDRsqMDBQAwcOVHZ2tkUVAwAAT2JpkNmwYYOSkpK0ZcsWffLJJyotLdX111+v48ePm30efPBBvf/++1qxYoU2bNiggwcPasCAARZWDQAAPIW3lTtfs2aNy/ulS5cqPDxcaWlp6t69u/Ly8rR48WItW7ZMvXr1kiQtWbJEcXFx2rJli7p06WJF2QAAwEN41ByZvLw8SVJYWJgkKS0tTaWlpUpISDD7tGnTRk2bNtXmzZvPuo3i4mLl5+e7LAAA4MLkMUGmvLxcDzzwgLp166ZLL71UkpSVlSVfX1+FhIS49I2IiFBWVtZZtzNjxgwFBwebS0xMTE2XDgAALOIxQSYpKUnfffedli9f/oe2M2XKFOXl5ZlLRkaGmyoEAACextI5MhXuu+8+ffDBB9q4caOio6PN9sjISJWUlCg3N9dlVCY7O1uRkZFn3Zafn5/8/PxqumQAAOABLB2RMQxD9913n9599119+umnatGihcv6jh07ysfHR6mpqWbbjh07tH//fsXHx9d2uQAAwMNYOiKTlJSkZcuW6V//+peCgoLMeS/BwcEKCAhQcHCwRo8erfHjxyssLExOp1Njx45VfHw8VywBAABrg8yCBQskST179nRpX7JkiUaMGCFJevbZZ1WvXj0NHDhQxcXFSkxM1Pz582u5UgAA4IksDTKGYfxuH39/f6WkpCglJaUWKgIAAHbiMVctAQAAVBVBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2BZBBgAA2Ja31QUAAOAORUVFOnDggGX7z8nJ0fTp0yVJDzzwgP7+978rPDzcsnqio6Pl7+9v2f5rC0EGAHBBOHDggMaOHWt1GZKksrIyPfHEE5bWMG/ePMXGxlpaQ20gyAAALgjR0dGaN29ere933LhxMgxDkuTn56e+fftq9erVKi4uliQ5HA7NnTu31uuKjo6u9X1agSADALgg+Pv71/oIxC+//GKGmJdfftk8lTRmzBjl5ORo+PDhMgxDAQEBatKkSa3WVlcw2RcAgGq65557JEn169c/Yz5MeHi46tev79IP7keQAQCgmkpLSyVJQ4cOVXZ2tm655RbdeOONuuWWW5Sdna2//vWvLv3gfpxaAgCgmnx8fFRaWqrnn39ezz//vNl+/PhxjRgxwqUfagYjMgAAVNOCBQtc3oeGhmrChAkKDQ09Zz+4D0EGAIBq8vZ2PbFRXFys3Nxc84qlyvrBffhmz9MhLy+rS4CH4FgAUCEpKcnl/YkTJ7R48eKz9nv77bdrq6w6hSBznt52BlldAgDAwxQVFUmSJkyYoGbNmmncuHHmurlz52r37t2aM2eO2Q/uR5A5T7fkF6hRWZnVZcADHPLyItgCkHTq3jXHjx/XrFmzzPvJVBg3bpwcDofZDzWDIHOeGpWVKeokQQYA8H9SUlI0YsQIM8R07NhRt99+u5YtW6a0tDSzPSUlxcoyL2hM9gUAoJpOH2nZs2eP9u/frz179pyzH9yHIAMAQDVNmzbN5f2xY8c0Z84cHTt27Jz94D4EGQAAqunQoUOSpIYNG551fVhYmEs/uJ+lQWbjxo3q16+foqKi5HA4tGrVKpf1hmHo0UcfVePGjRUQEKCEhATt3LnTmmIBADhNo0aNJElHjhyRdGqOzD//+U917NhRknT06FGXfnA/S4PM8ePH1b59+0onQSUnJ2vu3LlauHChtm7dqgYNGigxMZHL2AAAHmHSpEnm61dffVVPPvmk2rZtqyeffFKvvvrqWfvBvSy9aqlPnz7q06fPWdcZhqHZs2fr4YcfVv/+/SVJr7zyiiIiIrRq1SrddtttZ/1ccXGxyx0V8/Pz3V84AACSnn76afP10KFD1bFjR912221avny50tLSXPrNmjXLihIveB47R2bv3r3KyspSQkKC2RYcHKzOnTtr8+bNlX5uxowZCg4ONpeYmJjaKBcAUAedPkcmLS1NkyZNMkMMc2RqnscGmaysLElSRESES3tERIS57mymTJmivLw8c8nIyKjROgEAdVfF3JfS0tKzrj958qRLP7ifxwaZ6vLz85PT6XRZAACoCVOnTpV0ahqDl5eXBg0apMWLF2vQoEHy8vIypzdU9IP7eWyQiYyMlCRlZ2e7tGdnZ5vrAACwkq+vr/m6rKxMe/bs0dGjR7Vnzx6V/eaxNr/tB/fy2CDTokULRUZGKjU11WzLz8/X1q1bFR8fb2FlAACc8tJLL0mSGjRoIOnMOTIV7RX94H6WXrVUWFioXbt2me/37t2r7du3KywsTE2bNtUDDzygJ598Uq1atVKLFi30yCOPKCoqSjfddJN1RQMA8L8OHjwo6dSTrvPy8jR+/Hhz3axZsxQUFKQxY8aY/eB+lgaZr776Stdee635vuIAGD58uJYuXarJkyfr+PHjuuuuu5Sbm6trrrlGa9as4ZkVAACPEBUVpW3btmn06NFnrPttqImKiqrNsuoUS08t9ezZU4ZhnLEsXbpUkuRwOPT4448rKytLRUVFWrdunS655BIrSwYAwDRq1CiX9z4+Pho6dKh8fHzO2Q/u47FzZAAA8HQ5OTku72+66SZ17979jCkQp/eD+1h6agkAADu79957Xd6vWLFCK1asOGu/1atX11ZZdQojMgAAVFN5ebkkKTQ09Kzrg4ODXfrB/QgyAABUU716p36MHjt2TA6HQ7169VJKSop69eolh8OhvLw8l35wP75ZAACq6bcPgnzuuec0adIktWzZUpMmTdJzzz131n5wL+bIAABQTcuXLzdfJyUlycfHRwMHDtQ777zj8vyl5cuX85iCGkKQAQCgmk5/iHFpaalLuKmsH9yHU0sAAFRTxbP/KpsD43A4XPrB/QgyAABU04QJEyT931VJERERmjJliiIiIiRJhmG49IP7EWQAAKimX3/91eV9u3btFBUVpXbt2p2zH9yHOTIAAFTTuHHjJEleXl4qKyvTp59+qk8//dRcX9E+btw4vfHGG1aVeUFjRAYAgGo6fvy4JGny5Mlavny54uLidNFFFykuLk7Lly83HxxZ0Q/ux4gMAADV1KBBA+Xm5mr+/Pny9/dXdna2JOnw4cO6//77VVRUZPZDzWBEBgCAapo7d64kKS8vT40bN9asWbO0cuVKzZo1S40bNzbv7FvRD+7HiAwAANUUFhZmvt6+fbsyMzM1bNgwvfLKK+bozOn94F6MyAAAUE3ff/+9JMnHx0eSlJ2draefftoMMRXtFf3gfgQZAACq6ejRo5KkZs2anXV906ZNXfrB/QgyAABUU8Upo127dp316de7d+926Qf3Y44MAADV9NuRmLffflv169eXJE2aNElJSUkaOHDgGf3gXozIAABQTbNnzzZfJycnKz09XSdOnFB6erqSk5PP2g/uxYgMAADVVPFU6zFjxmjVqlXmDfAkKTw8XKNHj9bixYt5+nUNYkQGAIBqqniq9bvvvqtDhw65rMvJydGqVatc+sH9CDIAAFRTxVOtDx8+LG9vbw0aNEiLFy/WoEGD5O3trSNHjrj0g/sRZAAAqCYvLy/z9cmTJ3XkyBGdOHFCR44c0cmTJ8/aD+7FHJnzdIiDEP+LYwFAhZdeekmSFBoaqmPHjp3x9OuK9pdeeklJSUlWlXlBI8j8DqfTKT8fH73tDLK6FHgQPx8fOZ1Oq8sAYLGDBw9Kkp555hk1aNBA06ZN06FDh9SoUSNNnTpVBQUFGjNmjNkP7keQ+R3h4eFa9OKLys/Pt7oUy2VkZCg5OVmTJ09WTEyM1eVYyul0Kjw83OoyAFgsKipK27Zt04svvqg9e/ac8fTrli1bmv1QMwgy5yE8PJwfWr8RExOj2NhYq8sAAMuNGjVKH3zwgTZv3qxOnTrpb3/7m5o3b659+/bpjTfe0ObNm81+qBkEGQAAqsnX11e+vr4qKSnR119/rebNmysoKEibN2/W119/LUny8/OTr6+vxZVeuLhqCQCAavr+++9VUlKiSy+9VCdPntSKFSs0ZswYrVixQidPntSll16q4uJinn5dgwgyAABUU8VTrWNjY+VwOFzWORwOXXzxxS794H6cWgIAoJoqnmq9atUqhYSEaNiwYercubO2bt2qV155Rf/6179c+sH9CDIAAFRTq1atJEne3t56+eWXzbkwffr0Ue/evTVw4ECdPHnS7Af3I8jYRFFRkQ4cOGBpDRkZGS7/tVJ0dLT8/f2tLgNAHbdmzRpJp+7qO336dA0ePFjNmjXTzz//rDfffNO8u++aNWt08803W1nqBYsgYxMHDhzQ2LFjrS5DklweTW+VefPmcQk4AMtlZmZKkh544AG9/PLLLk+/Dg0N1f333685c+aY/eB+tggyKSkpevrpp5WVlaX27dtr3rx5uvrqq60uq1ZFR0dr3rx5VpfhMaKjo60uAQDUuHFjSdKcOXNkGIbLumPHjmnu3Lku/eB+Hh9k3nzzTY0fP14LFy5U586dNXv2bCUmJmrHjh116iZ1/v7+jEAAgIfp27evFi1aZIaYoKAgjRgxQkuXLlVBQYHZ3rdvXyvLvKB5/OXXs2bN0pgxYzRy5Ei1bdtWCxcuVP369c0HdQEAYJUjR46YrwMDAzVy5Eh17txZI0eOVGBg4Fn7wb08ekSmpKREaWlpmjJlitlWr149JSQkmLd9Pl1xcbGKi4vN9zwjCagZTEB3xQT0uunee++VJPn4+OjEiRPmqSRJ8vLyko+Pj0pLS3Xvvffq3XfftarMC5pHB5nDhw+rrKxMERERLu0RERH68ccfz/qZGTNmaNq0abVRHlCnMQHdFRPQ66aKX5zvvvtuJSQkaPXq1crMzFTjxo3Vt29frVmzRgsWLHD5BRvu5dFBpjqmTJniMms8Pz+/zj+pGagJTEB3xQT0usnPz09FRUVaunSpbrjhhjMusX7ttdfMfqgZHh1kLrroInl5eZmPRa+QnZ2tyMjIs37Gz8+PAwaoBUxAB6T58+dr1KhRKigo0OHDh3XRRReZ6w4fPqyCggKzH2qGR0/29fX1VceOHZWammq2lZeXKzU1VfHx8RZWBgDAqcuq69U79aN06NChuvXWW/Xee+/p1ltv1dChQyWdmtvJ5dc1x6ODjCSNHz9eL7zwgl5++WWlp6frnnvu0fHjxzVy5EirSwMAQKtXrzbDTEFBgRYsWGCOxNSrV0+rV6+2srwLnkefWpKkwYMH69ChQ3r00UeVlZWlK664QmvWrDljAjAAAFapmOR77733qri4WH5+fpo/fz4jMbXAYZx+K8ILTH5+voKDg5WXlyen02l1OQAA4Dyc789vjz+1BAAAUBmCDAAAsC2CDAAAsC2CDAAAsC2CDAAAsC2CDAAAsC2CDAAAsC2CDAAAsC2CDAAAsC2Pf0TBH1Vx4+L8/HyLKwEAAOer4uf27z2A4IIPMhUP7oqJibG4EgAAUFUFBQUKDg6udP0F/6yl8vJyHTx4UEFBQXI4HFaXY2v5+fmKiYlRRkYGz62CR+CYhKfhmHQfwzBUUFCgqKgo8+niZ3PBj8jUq1dP0dHRVpdxQXE6nfwPCo/CMQlPwzHpHucaianAZF8AAGBbBBkAAGBbBBmcNz8/P02dOlV+fn5WlwJI4piE5+GYrH0X/GRfAABw4WJEBgAA2BZBBgAA2BZBBgAA2BZB5gLmcDi0atUqq8vwKHwnAHBhIcjUgBEjRsjhcOjuu+8+Y11SUpIcDodGjBjhtv099thjuuKKK9yyraVLlyokJMQt27KSO78TnJ+MjAyNGjVKUVFR8vX1VbNmzXT//ffryJEjVpeGOsjhcJxzeeyxx6wuEW5CkKkhMTExWr58uX799VezraioSMuWLVPTpk0trAxwvz179uiqq67Szp079cYbb2jXrl1auHChUlNTFR8fr6NHj1pdYo0oKSmxugRUIjMz01xmz54tp9Pp0jZx4kSrS3S7uno8EmRqSIcOHRQTE6OVK1eabStXrlTTpk115ZVXmm3FxcUaN26cwsPD5e/vr2uuuUZffvmluX79+vVyOBxKTU3VVVddpfr166tr167asWOHpFMjKNOmTdM333xj/qaxdOlS8/OHDx/WzTffrPr166tVq1Z67733Kq15/fr1GjlypPLy8s74reXYsWMaNmyYQkNDVb9+ffXp00c7d+4853dQUfvatWt15ZVXKiAgQL169VJOTo4++ugjxcXFyel06vbbb9eJEyc88jvB+UlKSpKvr68+/vhj9ejRQ02bNlWfPn20bt06/fLLL/rHP/5h9m3evLmmT5+uUaNGKSgoSE2bNtWiRYtctpeRkaFbb71VISEhCgsLU//+/bVv376z7tswDMXGxuqZZ55xad++fbscDod27dolScrNzdWdd96pRo0ayel0qlevXvrmm2/M/rt371b//v0VERGhwMBAderUSevWrXPZZvPmzfXEE09o2LBhcjqduuuuu/7I14YaFBkZaS7BwcFyOByKjIxUQECAmjRpoh9//FHSqefxhYWFqUuXLuZnX3vtNZcHDX/77bfq1auXAgIC1LBhQ911110qLCw86345Hi1gwO2GDx9u9O/f35g1a5bRu3dvs713797Gs88+a/Tv398YPny4YRiGMW7cOCMqKsr48MMPje+//94YPny4ERoaahw5csQwDMP47LPPDElG586djfXr1xvff/+98ac//cno2rWrYRiGceLECWPChAlGu3btjMzMTCMzM9M4ceKEYRiGIcmIjo42li1bZuzcudMYN26cERgYaG77dMXFxcbs2bMNp9NpbqugoMAwDMP4y1/+YsTFxRkbN240tm/fbiQmJhqxsbFGSUlJpd9DRe1dunQxvvjiC2Pbtm1GbGys0aNHD+P66683tm3bZmzcuNFo2LChMXPmTPNznvSd4PcdOXLEcDgcxvTp08+6fsyYMUZoaKhRXl5uGIZhNGvWzAgLCzNSUlKMnTt3GjNmzDDq1atn/Pjjj4ZhGEZJSYkRFxdnjBo1yvjvf/9r/PDDD8btt99utG7d2iguLj7rPp566imjbdu2Lm3jxo0zunfvbr5PSEgw+vXrZ3z55ZfGTz/9ZEyYMMFo2LCh+Xe/fft2Y+HChca3335r/PTTT8bDDz9s+Pv7Gz///LO5jWbNmhlOp9N45plnjF27dhm7du2q/heHWrNkyRIjODjYfN+hQwfj6aefNgzj1N97WFiY4evra/57d+eddxpDhgwxDMMwCgsLjcaNGxsDBgwwvv32WyM1NdVo0aKF+W/42XA81i6CTA2oCDI5OTmGn5+fsW/fPmPfvn2Gv7+/cejQITPIFBYWGj4+Psbrr79ufrakpMSIiooykpOTDcP4vx/a69atM/usXr3akGT8+uuvhmEYxtSpU4327dufUYck4+GHHzbfFxYWGpKMjz76qNLaT/8f3jAM46effjIkGZs2bTLbDh8+bAQEBBhvvfVWpds6W+0zZswwJBm7d+822/7f//t/RmJiolmjp30nOLctW7YYkox33333rOtnzZplSDKys7MNwzj1j+8dd9xhri8vLzfCw8ONBQsWGIZhGK+++qrRunVrM/gYxqmQHRAQYKxdu/as+/jll18MLy8vY+vWrYZhnDpmLrroImPp0qWGYRjG559/bjidTqOoqMjlcxdffLHx/PPPV/pna9eunTFv3jzzfbNmzYybbrqp0v7wTKf/uzZ+/Hijb9++hmEYxuzZs43Bgwcb7du3N/8diI2NNRYtWmQYhmEsWrTICA0NNQoLC83Pr1692qhXr56RlZV11v1xPNYuTi3VoEaNGqlv375aunSplixZor59++qiiy4y1+/evVulpaXq1q2b2ebj46Orr75a6enpLtu6/PLLzdeNGzeWJOXk5PxuDb/9XIMGDeR0Os3PtWvXToGBgQoMDFSfPn0q3UZ6erq8vb3VuXNns61hw4Zq3bq1WWefPn3MbbVr167SGiIiIlS/fn21bNnSpa2iJqu/E1SfUYWbhP/276BiyL/i7+Cbb77Rrl27FBQUZB5TYWFhKioq0u7du8+6vaioKPXt21cvvfSSJOn9999XcXGxBg0aZG6zsLBQDRs2NLcZGBiovXv3mtssLCzUxIkTFRcXp5CQEAUGBio9PV379+932ddVV111/l8KPFKPHj30xRdfqKysTBs2bFDPnj3Vs2dPrV+/XgcPHtSuXbvUs2dPSaf+/Wvfvr0aNGhgfr5bt24qLy83T2efjuOxdnlbXcCFbtSoUbrvvvskSSkpKdXejo+Pj/na4XBIOnVutyqfq/hsxec+/PBDlZaWSpICAgKqXZskvfjii+bE5tP3eXrt56qpKmriO0HVxcbGyuFwKD09XTfffPMZ69PT0xUaGqpGjRqZbef6OygsLFTHjh31+uuvn7Gt327jdHfeeaeGDh2qZ599VkuWLNHgwYNVv359c5uNGzfW+vXrz/hcxVV6EydO1CeffKJnnnlGsbGxCggI0C233HLGBMrf/kCDPXXv3l0FBQXatm2bNm7cqOnTpysyMlIzZ85U+/btFRUVpVatWv2hfXA81h6CTA3785//rJKSEjkcDiUmJrqsu/jii+Xr66tNmzapWbNmkqTS0lJ9+eWXeuCBB857H76+viorK6tybRX7/L1txcXF6eTJk9q6dau6du0qSTpy5Ih27Nihtm3bSpKaNGlS5f2fjdXfCaquYcOGuu666zR//nw9+OCDLqE4KytLr7/+uoYNG2aGzd/ToUMHvfnmmwoPD5fT6TzvOm644QY1aNBACxYs0Jo1a7Rx40aXbWZlZcnb21vNmzc/6+c3bdqkESNGmGGssLCw0gnGsLeQkBBdfvnleu655+Tj46M2bdooPDxcgwcP1gcffKAePXqYfePi4rR06VIdP37cDA2bNm1SvXr11Lp160r3wfFYezi1VMO8vLyUnp6uH374QV5eXi7rGjRooHvuuUeTJk3SmjVr9MMPP2jMmDE6ceKERo8efd77aN68ufbu3avt27fr8OHDKi4urna9zZs3V2FhoVJTU3X48GGdOHFCrVq1Uv/+/TVmzBh98cUX+uabb3THHXeoSZMm6t+/f7X3dTae+J3g9z333HMqLi5WYmKiNm7cqIyMDK1Zs0bXXXedmjRpoqeeeuq8tzVkyBBddNFF6t+/vz7//HPt3btX69ev17hx43TgwIFKP+fl5aURI0ZoypQpatWqleLj4811CQkJio+P10033aSPP/5Y+/bt07///W/94x//0FdffSVJatWqlVauXKnt27frm2++0e23385I3QWsZ8+eev31183QEhYWpri4OL355psuQWbIkCHy9/fX8OHD9d133+mzzz7T2LFjNXToUEVERFS6fY7H2kOQqQVOp7PS3yxnzpypgQMHaujQoerQoYN27dqltWvXKjQ09Ly3P3DgQP35z3/Wtddeq0aNGumNN96odq1du3bV3XffrcGDB6tRo0ZKTk6WJC1ZskQdO3bUjTfeqPj4eBmGoQ8//PCMUwTu4GnfCX5fq1at9NVXX6lly5a69dZbdfHFF+uuu+7Stddeq82bNyssLOy8t1W/fn1t3LhRTZs21YABAxQXF6fRo0erqKjod0doRo8erZKSEo0cOdKl3eFw6MMPP1T37t01cuRIXXLJJbrtttv0888/mz+MZs2apdDQUHXt2lX9+vVTYmKiOnToUPUvA7bQo0cPlZWVmXNhpFPh5vS2+vXra+3atTp69Kg6deqkW265Rb1799Zzzz33u/vgeKwdDqMqM/QAwIN9/vnn6t27tzIyMs752zJQGzgeawdBBoDtFRcX69ChQxo+fLgiIyPPOlEYqC0cj7WLU0sAbO+NN95Qs2bNlJuba54OBazC8Vi7GJEBAAC2xYgMAACwLYIMAACwLYIMAACwLYIMAACwLYIMAACwLYIMAACwLYIMALfLysrS2LFj1bJlS/n5+SkmJkb9+vVTamqq2/bRs2fPKj1I9I9Yv369HA6HcnNza2V/AM4fT78G4Fb79u1Tt27dFBISoqefflqXXXaZSktLtXbtWiUlJenHH3+stVoMw1BZWZm8vfmnDrhQMSIDwK3uvfdeORwO/ec//9HAgQN1ySWXqF27dho/fry2bNkiSdq/f7/69++vwMBAOZ1O3XrrrcrOzja38dhjj+mKK67Qq6++qubNmys4OFi33XabCgoKJEkjRozQhg0bNGfOHDkcDjkcDu3bt88cOfnoo4/UsWNH+fn56YsvvtDu3bvVv39/RUREKDAwUJ06ddK6detc6i4uLtbf/vY3xcTEyM/PT7GxsVq8eLH27duna6+9VpIUGhoqh8OhESNG1M6XCeB3EWQAuM3Ro0e1Zs0aJSUlqUGDBmesDwkJUXl5ufr376+jR49qw4YN+uSTT7Rnzx4NHjzYpe/u3bu1atUqffDBB/rggw+0YcMGzZw5U5I0Z84cxcfHa8yYMcrMzFRmZqZiYmLMzz700EOaOXOm0tPTdfnll6uwsFA33HCDUlNT9fXXX+vPf/6z+vXrp/3795ufGTZsmN544w3NnTtX6enpev755xUYGKiYmBi98847kqQdO3YoMzNTc+bMqYmvD0A1MN4KwG127dolwzDUpk2bSvukpqbq22+/1d69e83w8corr6hdu3b68ssv1alTJ0lSeXm5li5dqqCgIEnS0KFDlZqaqqeeekrBwcHy9fVV/fr1FRkZecY+Hn/8cV133XXm+7CwMLVv3958/8QTT+jdd9/Ve++9p/vuu08//fST3nrrLX3yySdKSEiQJLVs2dLl85IUHh6ukJCQan47AGoCIzIA3OZ8Ht2Wnp6umJgYlxGUtm3bKiQkROnp6WZb8+bNzRAjSY0bN1ZOTs551XHVVVe5vC8sLNTEiRMVFxenkJAQBQYGKj093RyR2b59u7y8vNSjR4/z2j4Az8GIDAC3adWqlRwOh1sm9Pr4+Li8dzgcKi8vP6/Pnn5aa+LEifrkk0/0zDPPKDY2VgEBAbrllltUUlIiSQoICPjD9QKwBiMyANwmLCxMiYmJSklJ0fHjx89Yn5ubq7i4OGVkZCgjI8Ns/+GHH5Sbm6u2bdue9758fX1VVlZ2Xn03bdqkESNG6Oabb9Zll12myMhI7du3z1x/2WWXqby8XBs2bKh0X5LOe38Aag9BBoBbpaSkqKysTFdffbXeeecd7dy5U+np6Zo7d67i4+OVkJCgyy67TEOGDNG2bdv0n//8R8OGDVOPHj3OOCV0Ls2bN9fWrVu1b98+HT58+JyjNa1atdLKlSu1fft2ffPNN7r99ttd+jdv3lzDhw/XqFGjtGrVKu3du1fr16/XW2+9JUlq1qyZHA6HPvjgAx06dEiFhYXV/4IAuBVBBoBbtWzZUtu2bdO1116rCRMm6NJLL9V1112n1NRULViwQA6HQ//6178UGhqq7t27KyEhQS1bttSbb75Zpf1MnDhRXl5eatu2rRo1auRyBdLpZs2apdDQUHXt2lX9+vVTYmKiOnTo4NJnwYIFuuWWW3TvvfeqTZs2GjNmjDmq1KRJE02bNk0PPfSQIiIidN9991X9iwFQIxzG+czOAwAA8ECMyAAAANsiyAAAANsiyAAAANsiyAAAANsiyAAAANsiyAAAANsiyAAAANsiyAAAANsiyAAAANsiyAAAANsiyAAAANv6/31L6W3Gq6lbAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Changing line width of boxplot`"
      ],
      "metadata": {
        "id": "7IbRKoqlhmte"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.boxplot(x='Contract', y='tenure', data=churn, palette='Set1', linewidth=5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 573
        },
        "id": "vdiTP6yShZ6h",
        "outputId": "bd45dbf8-f2d6-4995-b5cb-40df0cf5efb9"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-14-61f37fc57257>:1: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.boxplot(x='Contract', y='tenure', data=churn, palette='Set1', linewidth=5)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Contract', ylabel='tenure'>"
            ]
          },
          "metadata": {},
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "`Plotting based on custom ordering on x axis`"
      ],
      "metadata": {
        "id": "rW24r7g8icC2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.boxplot(x='Contract', y='tenure', data=churn, palette='Set1', linewidth=3, order=['One year','Two year','Month-to-month'],hue='PaymentMethod')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "dcO7HGT5hw5H",
        "outputId": "fb0e532e-57ae-4bce-84bb-131c56bea42b"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Contract', ylabel='tenure'>"
            ]
          },
          "metadata": {},
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "x7SN0mTkiQml"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}