{
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      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
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  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "i-lQP5DftNHu"
      },
      "outputs": [],
      "source": [
        "import seaborn as sns"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tipsData = sns.load_dataset('tips')"
      ],
      "metadata": {
        "id": "S-beatwFtYKR"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "tipsData"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "Rb2r5Qkxtf0U",
        "outputId": "9a6c46b9-a545-45e4-b109-d9e0794a1e4b"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     total_bill   tip     sex smoker   day    time  size\n",
              "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
              "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
              "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
              "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
              "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
              "..          ...   ...     ...    ...   ...     ...   ...\n",
              "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
              "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
              "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
              "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
              "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
              "\n",
              "[244 rows x 7 columns]"
            ],
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>total_bill</th>\n",
              "      <th>tip</th>\n",
              "      <th>sex</th>\n",
              "      <th>smoker</th>\n",
              "      <th>day</th>\n",
              "      <th>time</th>\n",
              "      <th>size</th>\n",
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              "      <th>0</th>\n",
              "      <td>16.99</td>\n",
              "      <td>1.01</td>\n",
              "      <td>Female</td>\n",
              "      <td>No</td>\n",
              "      <td>Sun</td>\n",
              "      <td>Dinner</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>10.34</td>\n",
              "      <td>1.66</td>\n",
              "      <td>Male</td>\n",
              "      <td>No</td>\n",
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              "      <td>Dinner</td>\n",
              "      <td>3</td>\n",
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              "      <td>21.01</td>\n",
              "      <td>3.50</td>\n",
              "      <td>Male</td>\n",
              "      <td>No</td>\n",
              "      <td>Sun</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>3</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>23.68</td>\n",
              "      <td>3.31</td>\n",
              "      <td>Male</td>\n",
              "      <td>No</td>\n",
              "      <td>Sun</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>24.59</td>\n",
              "      <td>3.61</td>\n",
              "      <td>Female</td>\n",
              "      <td>No</td>\n",
              "      <td>Sun</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>4</td>\n",
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              "      <th>239</th>\n",
              "      <td>29.03</td>\n",
              "      <td>5.92</td>\n",
              "      <td>Male</td>\n",
              "      <td>No</td>\n",
              "      <td>Sat</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>240</th>\n",
              "      <td>27.18</td>\n",
              "      <td>2.00</td>\n",
              "      <td>Female</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Sat</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>241</th>\n",
              "      <td>22.67</td>\n",
              "      <td>2.00</td>\n",
              "      <td>Male</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Sat</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>242</th>\n",
              "      <td>17.82</td>\n",
              "      <td>1.75</td>\n",
              "      <td>Male</td>\n",
              "      <td>No</td>\n",
              "      <td>Sat</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>243</th>\n",
              "      <td>18.78</td>\n",
              "      <td>3.00</td>\n",
              "      <td>Female</td>\n",
              "      <td>No</td>\n",
              "      <td>Thur</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>244 rows × 7 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7590050f-cbc2-4e40-bbf1-abe68115ef66')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "    .colab-df-convert:hover {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "\n",
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              "        const buttonEl =\n",
              "          document.querySelector('#df-7590050f-cbc2-4e40-bbf1-abe68115ef66 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-7590050f-cbc2-4e40-bbf1-abe68115ef66');\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",
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            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "h1 = sns.histplot(data=tipsData, x='tip', bins=10)\n",
        "h1.set_xlabel('Tip($)')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "8YRMRE0btpcC",
        "outputId": "4804eb04-9d80-48a6-f98d-e572b84c953f"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Tip($)')"
            ]
          },
          "metadata": {},
          "execution_count": 4
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tipsData['tip_percent'] = (tipsData['tip']/tipsData['total_bill']) * 100\n",
        "h2 = sns.histplot(data = tipsData, x='tip_percent', kde = True, bins=20)\n",
        "h2.set_xlabel('Tip/Total Bill(%)')\n",
        "# ked=True : 커널밀도함수추정"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "ts9YyLFvuuJg",
        "outputId": "7e8908ae-4f9a-4fa3-9d35-16a31439bcf0"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Tip/Total Bill(%)')"
            ]
          },
          "metadata": {},
          "execution_count": 5
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "b1 = sns.boxplot(x='sex', y='tip', data=tipsData)\n",
        "b1.set_xlabel('sex')\n",
        "b1.set_ylabel('Tip($)')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "XWDh8FfawOhx",
        "outputId": "05687def-9366-42bb-bbf8-2d307b6e9884"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Tip($)')"
            ]
          },
          "metadata": {},
          "execution_count": 6
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "v1 = sns.violinplot(x='sex', y='tip', data = tipsData)\n",
        "v1.set_xlabel('sex')\n",
        "v1.set_ylabel('tip($)')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "KHtyfEhnxFxY",
        "outputId": "87ff3365-e0ac-4a8a-af35-d001f9f38c8a"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'tip($)')"
            ]
          },
          "metadata": {},
          "execution_count": 7
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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vEW3UGiursN5e18rII1LQnrHjxmmrX30nlmXx7LPP8tZbb3FxqwDXdPQf7dyB+7hd8POTK+nZOMzTTz/NO++8E59iHeJwffwCYIxZaYzZt0KHMabUGLNh/32Ufd555x2qqyoJtexV768dbtGLUCjEm2++We+vrZwhGo3y5z//eV9L/4ZOxx76e3ld8MvulfQuCvOvf/2LV199Vad0OE6Ha/HPEpG7Dj6BKyI+EblIRF4BbopveepwysvLGT1mDJG8tvXa2t+rptV/AuPGjUOvnlbHKhwOM2zYMKZOncrl7f3H1dI/mNcFQ7tVck6zEC+99BLDhw/X8D8Ohwv+y6g5ofumiGwVkRUishFYC1wL/NMY83ICalR1eOONNwgGg4Rbxe/6t1DLXkRiMV599dW4HUOlnlAoxCOPPMzcuXO5rlM1l7cPfOfQ38vtgp+cVMXFrQK89dZbPP300zrU8xh56nrAGBMEngeeFxEvUAgEdEK15LB9+3bGjRtPpHFHrIz8uB3HpOUQLuzC5MmTueqqq2jdunXcjqVSQygU4pGHf8OCBQu5rUsV57cI1fsxXAI3dPKT7ob33nsPy7K47777cLl0iZGjcbR/S92BHwE3iEj9dyarYzZy5EhilkWoRfz/OcItemLEreOo1RFFo1GGDRvGggULuf2kYwv9UWsyGbXm6CcFEIEfdfDz/bZ+Jk+ezAsvvHA8JTvS0UzL/DvgFaAxNa3+l0Xk0XgXpuq2YcMG3p86lVBRF0xadtyPZ7wZBJt2Y86cOaxcqUsnqLr961//Yt68eVx/YjXnNj+2ln5xlYfiqjo7IQ5JBK7sEOCS2m4fHed/dI6mxX8dcJox5jFjzGPAmdRcxatsMmLECMTtI9SiZ8KOGW7WHfFm8MILL+jJNHVI06ZNY8KECfRvHeCSVkc/Tv+7EoHrOvnpVRjm3//+F8uWLUvYsRuqown+rdRcvbtXGrAlPuWoI1myZAmffvopwWYngyf9yE+oL24vgeY9WbJkCZ999tmR91eOUlpayjP//Aed86JcdULd8+/Ei0vgzq5VFKTF+NNTTxIMJu6DpyE6muDfAywXkZdFZCQ1V+6Wi8izIvJsfMtT+7Msi38//zykZRNu2i3hx48UdYaMRjw/fLjOka4OMGLECMKhALd3qcRt0/nVTI/hthMr2LJ1m15xfgRH8080HngYmAXMBh4BJgILav+oBJk5cyZrVq8m0KIXuI6tL7ReuNwEWpxK8aZNTJkyJfHHV0mpuLiY6dM/4NKWAZpm2jussmtBlFMLw4wZ/SbV1dW21pLMjpgexphXElGIOrxAIMDzw4djZRUSbdzRtjqi+e2wcprxfy++yIUXXkhOzrGv9KVSy8SJE3EJ9G8TOPLOCfD9tgEWLvAxffp0hgwZYnc5SelwUza8VftzmYgsPfhP4kpUAK+++iplu3YRbH0G9XYlzPEQIdD6DCorKvjvf/9rXx0qKUSjUWZ8MI1TG4fIPcIUy4nSITdK6xyLabpyV50O19Xzq9qfK4Hv7/dnMLAqznWp/axdu5YxY8YQKexELKep3eVgZTUm3KQrEyZOZPny5XaXo2z05ZdfUl5RyRlNw3aXso8InFEUZPmKFezcufPIT3Cgw03LvHf5pY7GmE37/fkK6JKQ6hShUIgnn3oK40kj2Pp0u8vZJ9SqN/iyePKppwgEkuMrvkq8Tz75BLcLuhckT/AD9CqsqefTTz+1uZLkdLiunp+JyDKg80HdPBsB7epJkBEjRrBxwwaq254DnjS7y/mG24u/XV+2bN7Mc889Z3c1ygbGGD6a+yEn5UXIsGGsweG0yopRmAEff/yR3aUkpcN19bxBTdfOuxzY1dPbGHN9AmpzvBkzZjB27FjCTboSyzuuVS7jKpbbglDzHkyZMoVJkybZXY5KsHXr1rFl6zb6FNX/XDzflQj0Lgww/4svqKystLucpHO4rp49xpivjDHXHtTVU5bIAp1q+fLlPPXUn7BymhFqfZrd5dQp3PJUYo1a8vTT/2DRokV2l6MS6L333sPrgtObJFc3z17nNAsRicZ4//337S4l6ehUdklo/fr1PPjQQ0Q9GfhPuAhcbrtLqpu48He4kFh6Lg8//AirVul5fyfYsWMH7//vf5zdNEi2NzlG8xysXU6MznlR3hozWq/kPYgGf5LZsGEDd999D1VhQ1WnSzHeBE7LcLw8Pqo7XkLAeLjn3ns1/B3g+eefx1gRBrdL7hP7V7SvpnTnLt544w27S0kqGvxJZNmyZdz1y19RGY5RdeJlmPRcu0s6aiYtm6oTLyNgubnnnntZsEAv6k5V77//PrNnz2ZwGz9FGcm9AEqX/ChnNw0xatQonbxtPxr8SWLOnDncc8+9VMdcVJ3Yv0GF/l414d8fv6Tz61//mmnTptldkqpnS5Ys4e9//xtd8qJ8P8lb+3vd1LmawvQYv33kYTZv3mx3OUlBg99msViMl156iccee4xwej5VnQc2yNDfy6RlU9W5P+GsJjz55JMM1wndUsbSpUv5zUMPUuSLcFf3Clw2XkB+LDI8hvt6lBMLVnLvPXdr+KPBb6s9e/bw4EMP8eqrrxIp7ER158saRp/+kXjS8He6lHCTLowZM4Z7772PXbt22V2V+g4++ugjHrj/Phq5AjzQs5ycJD2hW5fmmRYP9CwnsGcndw39heMXFLIt+EXELSKLRMSRA8AXLlzILbfeyvwFCwm2PZtgu772zLgZLy43obZnE2h/HsuWL+eWW2/TefwboFgsxssvv8yjjz5Ky/Qgj/TaTeP05O7Xr0u7nBiP9NqNJ1TOL395F1OmTHHsokJ2tvh/Rc08QI4SiUR44YUXuPe++yjzx6juMpBIky72TrwWR9HCjlR1+T57Ii4efPBBnnnmGUKh5LvgR33bjh07uPeee3j55Zc5p1mQh3uVJ81EbMerRZbF47130yk7yF/+8heeeOL3jrzAy5bgF5FWwEDAUat3r1mzhp/85A5Gjx5NuPBEKk/6PlZWod1lxZ2VmU/VSYMIN+3G+PHjue3223VytyRmWRbvvfceN990E6tWLOUnJ1Vxx0nV+JL4cpJjkeMz/PqUPVzR3s/sWbO45eabmDdvnt1lJZRdfQv/BH4NOGIy90gkwmuvvcaoUaMwnnT8nS5OyikY4srlIdTmDKKNWrF508cMHTqUa665hptvvpm0tCSag8jh1q9fzzPP/JOlS5dxUn6UW3tW2r64Sjy4BIa0D9C9cZgXV1k8/PDDnH/+efz857+gaVP7Z8CNt4QHv4gMAnYYYxaIyAWH2e8O4A6ANm0abkiuXLmSP/35z2z66isijTsSbHNGck22lmCxRi2p7PYD0r7+nDfffJMP587lwV//mh49ethdmqOVl5fzyiuvMHHCBDK9htu6VHFe81Cq9kDu0yE3xu/77GZKcQYTP/qQTz/5hOuuv4GrrrqK9PQUGGhRB0n0yQ0ReQq4AYhSs4h7LjDucBO/9enTx8yfPz9BFdaPQCDAyJEjefvttzG+TPxtzkqKVn7GqpolEwNdBthcCbj3bCGzeB4EKxkyZAh33HEHWVlZdpflKKFQiHfeeYfXR40iEAzQr0WQH3bw2zINw5MLa4YxP3xqRcKPDbAz4OLNdZl8UZpG44J8br3tdi677DLc7obbxyUiC4wxfb613c6z2rUt/vuNMYMOt19DC/6FCxfy57/8he0lJYSLuhBq3QfcPrvLIq34U7w71wIQy2yMlVlAqM2Z9hYVi5C2ZSG+7ctpXFjEA/ffx5ln2lyTA4TDYaZMmcJrr7zMrt3l9CoMc9UJflpmxWyrye7g32t1uYfR67NZv8dNm9atuOXW2zj//PNxuRre6Pe6gj+Fxg/ar7KykhdeeIHJkydDRiP8nfsTy21ud1n7uPxlSCwCgKeyhKS4rMrtJdTmDCIF7TGbPuahhx7ikksu4Re/+AV5eXl2V5dywuEwU6dOZdRrr7J9Rymd86Lc2auaLvlJ8W5ICp3zovzu1HLml/oY91Uxw4YNo0P7dtx4082cd955DfID4GC2Br8xZjYw284a6stnn33Gn/78F3bvLiPUrDvhlr1Sa1x+nFnZTag6aTC+bUv4YPoMPvv8Cx64/z7OPfdcu0tLCaFQiClTpvDG66Mo3bmLExrFuLFnNScXRFK+H/94iMBpTcL0Lgrz6XYfEzdt5PHHH6dd2zbccONNXHDBBQ27C6ghXMCQzF091dXV/Pvf/665GCQzH3/bvljZRXaXdUgZq6bgqSzZdz+a0ywp+voP5vKXkfnVXKR6FxdffDG//OUvyc1tuNNY2Km6upqJEyfy1pjRlO+poFNelMvb+emWn3yBnyxdPYdiGfhsu493i7PYUuWiZYvmXPvj67j00kvx+ezvxq1LUvbxH61kDf7ly5czbNjv2VG6g1DT7oRbnpLUrfyGEvwAWBa+bUtI27aEgoJ8fvvoo/Tq1cvuqhqM3bt3M3bsWMaPG0u1P0D3ggjfb+unc1406QIfYNSaTOZuqxnt1jYnRpvsKNef6Le5qm+zDCzc6eO9TZlsrHDTuCCfq6+5lkGDBpGZmWl3ed+iffz1KBaL8cYbbzBy5EgsXxbVXQZiZTexu6zU4nIRbtmLaF5r2DiHe+69l+uvu46bb74Zj0fftnUpKSlhzJgxTJk8iXA4Qp+iEAO7BuiQa99J26NRXOUhEKvpO19Vnrx96C6BPkVheheG+bLMy6TiKM8//zyvvfoKP7ziSn74wx/SqFEju8s8Iv0NOkaVlZU88cQTfP7550QKOhBsezZ4kverXkNnZRVSedJg0os/ZdSoUXz55Zc8/vjjeuL3IJs2beL1119nxozpYCzOaRpkYJsAzbNS7+KrZCAC3RtH6N54D+v2eJi0Kcwrr7zC6NFvMnjwEK6++moKC5P3qnwN/mOwadMmfvObh9m6bRvBtmcTKeqcsnPsJBW3l2D7c4nmNGPJ0nncccedPPnkH+nYsaPdldlu/fr1vPbaa8yZMxufCy5uEeCy1sEGO5FaQ9SxUZS7e1SyucrN5OIMxr7zNhPGj2PAwEFce+21NGvWzO4Sv0WD/yitXLmS++9/AH8khr/zZcRyku8fM9VFCztRlZ6H2TCToXfdxZ//9Cd69uxpd1m22LhxIy+/PJI5cz4kwwOD2vj5Xutgg59ErSFrlR3jzq5V/LC9n0mbMpj03kQmT5rEgIEDuf7662nSJHm6g5O3My2JLF68mLvvuYfqmIvKLoM09G1kZRdR1WUQQdK4/4EHHDfVc0lJCX/84x+59dZb+PzjDxnSzs/TZ5XxoxMCGvpJoijD4pYu1fztzN2c16yayZPe5bofX8vzzz9PRUVyjFjS4D+C1atX8+tfP0jQlUFV5wGYNEfMK5fUjC+rZpUvbw4PP/IIS5cutbukuPP7/bzwwgvccP11zJ75AQNaB/jbWWVc0SFAVgNbFMUpGqdb3Ny5mr+esZuziqp5++23+PG11zBmzBjbV6XT4D+MkpISHnzwIcIuH9Unfg/jS77hWk5lvBlUnfg9Yt4sfvPwIym7nJ4xhlmzZnHD9dcxevRoziis5i9n7Obqjv4GtwqWUxVmWNx+UjV/PK2cDul7GD58OLfdeguLFy+2rSYN/jpEo1Ee/e1v2VPlp7rjxRivhn7S8aRT1fES/OEoDz/ySMot8FJeXs7vfvc7hg0bRk50F4/13sMdXav1xG0D1So7xv09K7inRwX+0mLuvvtunnnmGYLBYMJr0eCvw8svv8y6tWvxtz0HKyPf7nJUHUx6LtXtzqV40yZGjBhhdzn1ZunSpdxy80188vFcrj6hmsd77+aERjqfTiroVRjhydPL+F7rAOPHj+eOn9xOcXFxQmvQ4D+EdevW8frrrxMp7ES0oJ3d5dSfWJj09HSuvPLKmrnGY2G7K6oXsUatCDfpytixY1NiZa/Jkydzzz13kxYp5/E+5QxsG8Slo4ZTSpobruvk58FT9lC+YzM/vfMOvvjii4QdX4P/IMYYnn32OfCkEWx9ut3l1CuJhhk0aBBDhw5l4MCBSDQ1gh8g1Ko3pGXxzLPPYlkNtytk3Lhx/PWvf6VroxCPnbqbNtnJfcWt+m66FUR5vPduGrv9PPybhxK2BKQG/0E++ugjli5dQqDFqSm3Upbx+Jg0aRLPPfcckydPxqTSFcduL4EWvVmzejXTp0+3u5rjMmfOHJ599llOLQxzT48KHa3jEIXpFr/pVU6rzDCPPfY7Vq1aFfdjavDvJxaL8X8vvggZjYgUnWh3OfXP7SMYDDJ27NiaE0pJsDhMfYo2PgGT1Zj/vvQSkUjE7nKOydatW3nqySfp2CjGL06uxKO/mY6S7TXc12MPjTxRfvvoI1RXV8f1ePr22s+MGTMo3rSJQIteIPpX0+CIEGhxKttLSpgyZYrd1RyTZ/75D4iFGNqtAq++9Rwp12f4edc97Ny5i5EjR8b1WPoWqxWJRHjxvy9hshoTzW9vdznqOMUatcLKacrIl1+xZZjc8Vi1ahWfff4FQ9pWU+DQoZqBqBww8CAQdebZ7I6NopzbPMjEiRMoLy+P23E0+GtNnDiRHdtLCLTsrROvNWQiBFv2pnx3GW+99Zbd1RyVSZMmke4RLmqZWtchHAt/VA4YeOB3aPADDGgTIBKJMm3atLgdQ4Mf2LNnDy+NHEmsUUtiuS3tLkd9R7GcZkTz2/L662+wc+dOu8s5LGMMn8z7mO75QTI8zj2Zm+kxBww8yHTw30WLLIvWORafxHGEjwY/8OKLL+L3+wm2Ol1b+yki2Oo0QpEIL7zwgt2lHFZZWRm7ynZzYp6zL87K8JgDBh44+UMQoFNumNWrVxGvFRIdH/wrVqzgvUmTCDfpipWpV+imCpOeS6jpyUyfPp2FCxfaXU6dSkpqlsJslqHj9dU3mmXG8AeCVFZWxuX1HR38sViMvz/9D/BlEmp5qt3lqHoWbtET0nN5+h//SNrhnXuH7WXqmH21n0x3zfshXsM6HR387777LuvXrSXQ6jRwe+0uR9U3lwd/6zPY/PXXvP3223ZXc0h71w+OOnMwj6pDtLYdEK/1pR0b/NXV1bz44n+J5bbQ4ZspLJbXmmheG1555dW4Do87Xo0bNwagLOTYX0V1CGUhFy4R8vPj0/3s2HfbuHHjqK6uItiqj57QTXGhVr0JhYJJObyzRYsWpPm8bKzQVVDVNzZWeGjdupW2+OuTMYax48YRbdQKK6vQ7nJUnFkZ+UTy2zN+/ATbVz46mNfrpecpp7BwVzqWdvMroCoirNrjo89p8Zsk0pHBv3HjRsp37yZSoF08ThEtaEcg4Gf16tV2l/It/fsPYGdAWFCaWnMnqeMza0sakRj0798/bsdIePCLSGsRmSUiK0RkuYj8KtE17P3lj2Ulz6r3Kr5i2TX/1skY/Oeeey7t2rZh9IZsAsn1hUQl2M6gi/eKszn77LPp2LFj3I5jR4s/CtxnjOkKnAn8QkS6JrKAnJyaBdPFSs4hfqr+Sazm33rvv30y8Xg83HPvfewKuHhxZbZ2+ThUOAbPfZmLy5vG0KFD43qshAe/MWabMWZh7e1KYCWQ0HkSWrRoAYC7clsiD6ts5K6suVCqefPmNldyaD179uSOO+/ki9I0Rq7K0vB3mFAM/rEsl68q3Tz8yKP7MipebO3jF5F2QC/gs0M8doeIzBeR+aWlpfV63Pbt29PntNPI2LYUiQTq9bVVEoqGyNi2iG7dTqZbt252V1Onq6++mhtvvJE529J5blmOY2eodJqyoIunFuWxYreXBx98iL59+8b9mLYFv4hkA2OBu40xFQc/bowZYYzpY4zpU1RUVN/H5q6hQ3GZKJlrP0Ai/np9fZVEokGy1n0AkSB33/0rJImH7ooIt956K0OHDmVRWTqPL8hnQ4Xb7rJUHC3e6eV3C/LZFs7k979/gssuuywhx7Ul+EXES03ov26MGWdHDW3btuWJJ54gPVJJ9qrJuALldpSRUFZmAcbtxbi9RHOaYWUW2F1SXEmwgpxVk/EFdvPYY4/RqVMnu0s6KldeeSV///vfiaQ35vcL8nhrfSahFJ/Kp012lAy3RYbboktehDbZqX2WuzIsjFiRxdNLcylo1obhL/yHc889N2HHl3jN/lbnAWuaXK8AZcaYu4/mOX369DHz58+PSz2rVq3i1w8+RGVlJcFm3Qk36wHu1L2YJmNVzcpUgS4DbK4kjqwovpIvSS9ZSmZ6Ok899SQ9evSwu6pjVllZyfPPP8///vc/CtLhqg6VnNU0nLLXGz65MBeAh0/9VgdAyohaMH1zOhM2ZRGMubjuuuu44YYb8PniM5RXRBYYY/p8a7sNwd8XmAssA/bOUPKwMabOtfLiGfwAO3fuZPjw4cyYMQPSsgm0Oo1ofruUvKI3pYPfGNzlX5O5+XMIVnDeeefx85//nGbNmtld2XeydOlS/vXcs6xZu462ORY/bF/FKY0jKff2TOXgj1nwcUkaE4uzKPULp53Wh6FD76Jt27ZxPW7SBP/xiHfw77V06VKe/sc/+WrjBkxGHqGmJxNp3AFcqfMNICWD34rhKdtI+vYvEX8ZrVu34Ve/+iV9+nzr/d5gWZbF9OnTGfnSf9lWsp0OuTEGtfVzamEYV4p8AKRi8EdqA39ycRbb/cKJnTpy2+0/4fTTT0/I+SYN/qMUjUaZNWsWb44ezYb16xFfJsGik4gUdcZ40xNSQzylVPBHQ3hL15BeugJC1bRp25Zrr7mGSy65JG5znNgtGo3y/vvv8/qo19hWsp3mWYb+ras5u2kIXwM/D5xKwV8dEWZvTWPqlizKg9CpY0duuvlmzjnnnIQOMNDgP0bGGBYuXMjo0WP44ovPweUi0qgNkcJOxBq1BGmYs100+OA3BnfFVrw71+ArL8ZYMU7p1Ytrr7kmYa2oZBCNRvnwww95443XWbduPdk+uKi5n36tguSnJf/v9KGkQvBvq3YxbXMGH5WkE4rBqaf24sc/vo7evXvb8t6sK/hTs1lUD0SE3r1707t3bzZu3MiUKVN4//2pVK79ANKyCRWcQKSwEyY91+5SHUFClXh3riOtbB0EK8nKyubSIYMZOHBgXC9tT1Yej4eLLrqICy+8kMWLFzP2nXd4b97HTC7OpHdRiH4tg3TJi6bceYBkFLNg8S4v07dksLzMi9fjpt8ll3DllVcm7XtTW/zHIBKJ8PHHHzN58hTmz/8CYwxWdhHh/A5EC9pjfJl2l3hEDanFL5EAnrKN+Mo24KraAUCvU09l0MCB9O3bl7S0NJsrTC5bt25l4sSJTJk8icqqalpmW1zYPMA5zUJkNYAVvhpai78s5OLDrWnMKclkVwCKChszeMgPGDRoUNzm0T9W2tVTz3bs2MHMmTP54IPprF+/DkSI5TQnXNCBaH5b8CRnKCV98MfCeHZvwlu2AU/FVjCGtu3acekll3DRRRcl7ZQLySQUCjFz5kwmTBjP6tVr8LmFM4oCXNAyRMfc5P0W0BCC3zKwrMzL7C3pLNrlwzLQp/epDPnB5Zx11llJd25Jgz+ONm3axIwZM5j2wQeUbNsGLhfRnJZECtoTzWsDnuSZbjcpgz8WwVNeXNO6r9iCsWIUNWnCpZdcQr9+/ejQoYPdFTZYa9eu5d1332X6B9MIBEO0yra4IEm/BSRz8B/cus/LzaH/wEEMGjSIli0TOtXYMdHgTwBjDKtXr2bWrFnMmDmTnaWliMtNOLcl0b0fAjav7Zs0wR+L4tnzdU3Y79mMsaLkFxRw0YUXcuGFF9KtWzfHnKhNBL/fz8yZM3nvvXdZvXoNXjecVhjiwpZBTmyUHN8Cki34YxYsLfMye2s6i3f5MLWt+0HfH8w555yD15v863Rr8CeYZVmsXLmSWbNmMXPWLMp27ULcHsK5rYgWdCCa18qW6wNsDX4rhrtiC95dG/Dt+RoTi9AoL29f2J988sm4XA1ztFRDsnbtWiZPnsy0qe/jDwRpkWW4oLmfc5qHyLHxW0CyBP/O4Det+91BKMjPo/+AgQwYMCCpW/eHosFvI8uy+PLLL5k5cyYzZ82mYk854vERbtSaSEEHYrktIUGBl/DgNxbuim14yzbUDL+MhsjOyeHCCy7goosuokePHrjdDXwAegMVCASYPXs27707kRUrV+F1QZ+iEBfZ9C3AzuC3DCzZ5WXmlnSWltV0zfbp04fBg4ckZd/90dLgTxLRaJTFixczc+ZMZs+Zg7+6GvFlEMpvT6RxR6zMxnGdKiJRwe/yl9UMv9y9ARP2k56RwXnnnku/fv3o3bt3g/1FSlXr169n0qRJTJv6PtX+gC0jguwI/vKQMHtr+r6++8b5eQwY9H0GDBiQEgMJNPiTUCQS4bPPPmPatGl8PG8esWgUk5lPuKADkcad4jI8NJ7BL5EAnl3rSNu1HvGX4XK7OfOMM7j00ks566yzdPhlAxAMBpk5cyYTJ05g9eo1pLnh7KZB+rUK0iY7vlOEJir4jYHV5R6mb0lnQWkasSQfmfNdaPAnucrKSmbNmsXUqdNYvvxLECHSqDWRJl1quoLq6VtAvQe/Mbgrt+HdsQpveTEYi85dunDZ977HhRdeSF5eXv0cRyXc6tWrmTBhAjOmTyccidA5L8qlrQKcWhjGHYeeyXgHfzgG87an8cHmTL6ucpGdlcmAgYMYPHgwrVq1issx7abB34Bs3ryZyZMnM2nyFCor9kB6LqHGnYgUnYjxZnyn104r/hSAUJszv1uRe+fJ2bUGAnvIys5h4ID+DBw4MO4zDqrEqqioYMqUKUwYP46S7TtonAGXtKzmghYhMj31lx+j1tR8w73+xPpdGKk8JHywOZ1Z2zKpCkOH9u244sof0a9fP9LTG/78W4ejwd8AhcNhPvroIya++y5LFi9G3B5CjTsRbnYyJs2eRcMlVIVv+3LSdq7BxCJ0O/lkhgwezPnnn69dOSkuFosxb948xr7zDouXLCHDAxe0CPC9VkEK0q0jv0CCbal287/idOZtTydmoG/fvlxxxZX07NnTMUOFNfgbuE2bNjF69GimTZtGzLKI5Lcn3LwnVmZiLg2XwB7SSpbi3bUel0C/fv245pprOOGEExJyfJVcVq9ezZgxY5g9ezaCxbnNggxqG6BJhv0fAF9Vunnvqwzml6bh83npP2AgP/rRjxrcUMz6oMGfInbs2ME777zDxHffJRQMEi7sRLhl77jNEySRAL4ti/DtXI3X6+X7gwbxox/9KCVGPKjvbtu2bYwePZopUyYTi0Y5p2mQH7QPUGTDB8CmSjfjNmayaKePrMwMfnjFlVxxxRWOPs+kwZ9iKioqGDVqFGPHjsVCCDY9uX6XjbRiNcsXbl+GWFEGDx7MTTfdlDSTT6nksmvXLt58800mTpyAFYtyQfMgl7f3k+uLf75s97t4e0Mmn+9IIzsrk6uvuZbLL7+c7OzsuB872Wnwp6gtW7YwYsQI5syZAxl5VLc7Fyu76Du9psu/i8yNcxF/GWefcw4/vfNO2rRpU08Vq1RWWlrKa6+9xqRJk0hzWwxuU833WgfxxGEUkD8qTPwqgw82Z+D2+rjqqqu56qqryMmx5/xXMtLgT3ELFizgySefYlfZLkLNexJuccqxLxZjDL6SZaRtXUhebiMefPDXnHXWWXGpV6W2TZs2MXz483z66We0yDLc0rmCznnRenltY+CLUh+j1uWwJwTf+95l3H777RQWFtbL66cSDX4HqKys5Nlnn+WDDz4gmteaQIcLjn5SOCtK+oYP8e7+ivPOO597773H0X2jqn58+umn/OPpv7N9RykXtwpwzQn+77REZGVYGLk6m/mlPjp2PIH773+ALl261F/BKUaD30EmTpzIP//5T2JZhfg7Xnzksf/REJnrZuCuLOFnP/sZV111lWOGu6n4CwQCvPjii4wdO5aW2RZDu1XQMuvYrwJeudvD8JWNqI66ue32n3DllVem1FW28aDB7zAfffQRw4YNI5SWR3Xn/nXPBGrFyFwzFZ+/lIcffph+/foltlDlGF988QVP/vEPBKv28NOuFfQqjBz1c6dvTmPU2mxatmzJ7x57nE6dOsWx0tRRV/DrHLgpqm/fvjz22GO4qneSvuHDmo7RgxlD+qZ5uCtLNPRV3J122mn8Z8T/0bp9R/65LJePS468QJExMG5DBq+uyeaMM87khf+M0NCvBxr8Kaxv37789M478e7+Cu/ONd963FO2Ee/Otdx4440a+iohmjRpwjPPPscpp5zCiBU5fHKE8J/4VQYTvsqkf//+/OGPfyQrKytBlaY2Df4Ud/XVV3Ny9+5kbFmARILfPBANk7H5czp26sRNN91kX4HKcTIyMvjTn/5M9x7d+b9VOazdc+huyHklPsZtzOTSSy/lgQce0HUb6pEGf4oTEe67914kFsZbsmzfdt+OFRD2c/999+kvlEq4tLQ0/vCHP9KkaTOGr2iEP3rgYILtfhcvr8mlR4/uPPDAA7oyWz2z5W9TRC4TkdUisk5EHrKjBidp3749ffv2JX3XWrCiYFmk7VxNn9NO06Fwyja5ubk8+tvfURYUxm04cOTZa2uzcfvSefTR3zaItW0bmoQHv4i4gX8D/YGuwLUi0jXRdTjN5ZdfjokE8ewuxl2xBULV/PDyy+0uSzlc165dGTBwIDO2ZLAzUBNHK3Z7WLrLy00330KTJk1srjA12TEI9nRgnTFmA4CIjAaGACtsqMUxevToQVZ2DpE9mzFuDz5fGn36fGuUl1IJd+ONNzJlyhSeXppD43SLrdVu8nJzGDJkiN2lpSw7unpaAl/vd39z7bYDiMgdIjJfROaXlpYmrLhU5Xa7Oa1Pb3xVJfiqttOr1yn4fEceTqdUvDVp0oQbbriBrJYnEWzcjYI2Xbjjpz/T9R3iKGkvezPGjABGQM0FXDaXkxK6dOnC7Nmz991WKlnccsst3HLLLXaX4Rh2tPi3AK33u9+qdpuKs27duu273bWrnlZRyqnsaPF/AXQSkfbUBP41wI9tqMNxunfvzptvvollWbRo0cLucpRSNkl48BtjoiIyFJgKuIGXjDHLE12HU+nKWUopW/r4jTFTgCl2HFsppZxOL4dTSimH0eBXSimH0eBXSimH0eBXSimH0eBXSimH0eBXSimHaRBr7opIKbDJ7jpSSCGw0+4ilDoEfW/Wr7bGmKKDNzaI4Ff1S0TmH2oBZqXspu/NxNCuHqWUchgNfqWUchgNfmcaYXcBStVB35sJoH38SinlMNriV0oph9HgV0oph9HgTxEiYkRk1H73PSJSKiKTjvC8C460j1JHQ0RiIrJ4vz/t4nisr0SkMF6vn+qSds1ddcyqgZNFJMMYEwAuQZe0VIkVMMacYncR6si0xZ9apgADa29fC7y59wEROV1EPhGRRSIyT0Q6H/xkEckSkZdE5PPa/YYkqG6VokSkt4jMEZEFIjJVRJrXbp8tIv8QkfkislJEThORcSKyVkT+sN/zJ9Q+d7mI3FHHMa6vfc8uFpH/iIg7Uf9/DZUGf2oZDVwjIulAD+Cz/R5bBZxrjOkF/A548hDPfwSYaYw5HbgQ+KuIZMW5ZpU6Mvbr5hkvIl7gOeBKY0xv4CXgj/vtH669SvcFYCLwC+Bk4GYRaVy7z621z+0D/HK/7QCIyEnA1cA5td82YsB18ftfTA3a1ZNCjDFLa/tVr+XbS1s2Al4RkU6AAbyHeIlLgcEicn/t/XSgDbAyPhWrFHNAV4+InExNkH8gIlCzxva2/fZ/t/bnMmC5MWZb7fM2AK2BXdSE/eW1+7UGOtVu36sf0Bv4ovYYGcCOev2/SkEa/KnnXeBvwAXA/q2jJ4BZxpjLaz8cZh/iuQJcYYxZHecalTMINYF+Vh2Ph2p/Wvvd3nvfIyIXABcDZxlj/CIym5rGyMHHeMUY85v6KtoJtKsn9bwEDDPGLDtoeyO+Odl7cx3PnQrcJbVNJxHpFZcKlVOsBopE5CwAEfGKSLdjeH4jYHdt6HcBzjzEPjOAK0WkSe0xCkSk7XctPNVp8KcYY8xmY8yzh3joL8BTIrKIur/pPUFNF9BSEVlee1+p42KMCQNXAn8WkSXAYuDsY3iJ96lp+a8E/gR8eohjrAAeBaaJyFLgA6D5dyw95emUDUop5TDa4ldKKYfR4FdKKYfR4FdKKYfR4FdKKYfR4FdKKYfR4FdKKYfR4FdKKYfR4FfqMGpnLJ0sIktE5EsRufpQM06KSCMRWb131lMReVNEfmJ3/Uodis7Vo9ThXQZsNcYMBBCRRsD/gCHGmFIRuRr4ozHmVhEZCrwsIs8A+caY/7OvbKXqplfuKnUYInIiMA0YA0wCdgPzgA21u7iBbcaYS2v3HwFcAfQ0xmxOfMVKHZm2+JU6DGPMGhE5FRgA/AGYSR0zToqICzgJ8AP5gAa/Skrax6/UYYhIC8BvjBkF/BU4g7pnnLyHmrULfgyMrF2IRKmkoy1+pQ6vOzUrkVlABPgZEAWere3v9wD/FJEocDtwujGmUkQ+pGbWyMdsqlupOmkfv1JKOYx29SillMNo8CullMNo8CullMNo8CullMNo8CullMNo8CullMNo8CullMP8P0bi/HzTmReYAAAAAElFTkSuQmCC\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "s1 = sns.relplot(data=tipsData, x = 'total_bill', y='tip')\n",
        "s1.set_xlabels('total bill($)')\n",
        "s1.set_ylabels('tip($)')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 387
        },
        "id": "_5h7a3JZxS0X",
        "outputId": "8b1bfa20-dab6-4132-a98a-d196955b9f32"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.FacetGrid at 0x7f7bba157820>"
            ]
          },
          "metadata": {},
          "execution_count": 8
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 선형 추세선이 포함된 산점도\n",
        "\n",
        "lm2 = sns.lmplot(data=tipsData, x = 'total_bill', y='tip', hue='smoker')\n",
        "lm2.set_xlabels('total bill($)')\n",
        "lm2.set_ylabels('tip($)')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 386
        },
        "id": "DLbwLESV4G58",
        "outputId": "90deb470-c9aa-4f5c-b706-a0d44605ee36"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.FacetGrid at 0x7f7bba1578b0>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 412x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 히트맵\n",
        "# 상관계수 행렬 계산 후에 히트맵으로 바꿔야한다\n",
        "corr = tipsData.corr()\n",
        "sns.heatmap(data=corr, cmap='YlGnBu', annot = True) # annot 숫자 표시"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 288
        },
        "id": "0udWfcz05iT1",
        "outputId": "21242b9d-c6ca-4e8e-8a3b-ba86d20c352f"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<AxesSubplot:>"
            ]
          },
          "metadata": {},
          "execution_count": 11
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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N7xTLtIt7MHLWatbvz6ahS3jkvC70jI9GFR74Zjsr9h4KcPTOGhB3Mrf1OAWXwKe703jn59J3II9qn8hlSYkUqpJbWMST67azKzu3ZH1840hmnNuX17ftZuaOfYEOv+bqS3IWkfuAK4H3PYv+IyKzVfUhv0XmI5cI/7iuP9c99jWpmbl8MGUYC9fsZfu+rJIySQnR3DSyO2OmLCDryDFantQIgL6dW9Kvcywj/vo5ADPvHcoZ3eL5bosjI/6FnDdnL2bajPm88s9bgh2K37kEpgzpzO8/Wkdq9lHmjunLlzsz2P7rkVLlmjaM4Ppebfgh9fj3ZWyPVgAMf3c1LaMa8vrInoyatQYN6BE4xwVMPv0U/vzdRtJz85l+dm+WpWWWSr4L9qUzd3cqAGcmtOBP3Tty18qSIYv5U4+OrNz/a6BDP2Hh8PRtX5vNrwV+q6r3q+r9wEDgD/4Ly3e9O7VgV9ph9qTncKywiE9W7OaCfqVH9LvqvE68teAnso4cAyAj6ygAqtCoYQQNG7iIbOiiYYSLA1l5AT+GQFm2cguZB7ODHUZA9Ek4iV2HctmTlcexIuXjn/Zz4Skty5X78xlJTFuzh6OFRSXLOjdvwrfJ7kSUkXuMrKMF9IqPCVjsTjvt5Bj25uSRcuQoBap8tTedwQktSpU5UlBY8jqqzNNBBie0IOXIUXZmlz6xhTQR36cQ5Wty3gc09ppvRPmRmYIioXkUKZnHvzSpmbkkNI8qVaZjYgwdW8Uw696hzLn/As7pmQjAD9szWLF5PyueH82K50fzzfoUfvaqcZu6K6FpJPsOHy2ZT8k+SkLTRqXK9IiLplVMI77elVlq+eaMHC7oGEuEQNuYxvSMj6FVTOn31iWxUZHsz8svmU/Pyyc2qvzxXNohkXfO68tNpyXx7Eb3uD1RES6uObUNM7btDli8jnBuVLqg8TU5HwI2isjrIvIfYANwUESeE5HnKnqD9wDWWT8tdCreExLhEpISYrjmka+Y/K/lPDJ+ADFNGtIhPppOrU/irElzOXPiXAZ2T6B/l7igxmoCQ4B7B3fi4aU/l1s3a1MKqdlH+XhMP+4/uxOrUw5RVFRXGzV89+GuVK75eg3TN//CH091j5I5rkt7Zu/YR67XfxZ1gtRgClG+XhD8wDMVW1TdG7wHsO70h/f89s1O+zWXVi2alMwntogi7dfcUmVSM3NZ+3MGBYVKcnoOO1MPk5QQw8DT4lm7PYMjRwsAWLwuhb6dW7JqW7q/wjUBkpaTT2uv2m6r6Eak5RyvSUdHRtClRVPeu6wPAHFNInllxOnc8OkG1u/P5kGvpP3f3/Vhx8HS36m65EBuPvGNI0vm4xpHciD3aKXlF+47wO09O8GP0P3kaIa0asmNpyUR3bABqkp+UREf/JIaiNBPmKu+9HNW1Rn+DuRErduRSVJiDG3jmpKWmcslA9tz+7+Wlyrz5epkRg7qwH+/2Unz6Eg6JsawJz2b9vFNuercTkR8LIjAGd3i+c/8rUE6EuOkH9OySGoWRduYxqTlHGVk53gmfnG8F8/h/EL6vvptyfx7l/Xm4WU/s35/No0buBAgt6CIwe2aU1Ck5S4k1iVbDh2mbdMoEqMacSAvn/PbxPHgmtLf8zZNG7M3x329ZVB8c5I9r29bvqGkzLgu7cgtKAz5xAwh3ZTssyqTs4jMUtUxIrIeyl+sVtVefovMR4VFygNvrOb1O4fgcrmYs2QHP+3NYvLlp7N+ZyYLf9jHkvWpDO6ZyOdTL6aoSJn63loOZufz2cpkBnVPYN4jw1FgyboUvvqhDnQTOkEznr+NswedRmzzGLZ/9wIPPj2HGTMXBTssvyhUuG/Jdt4Y3ZMIEWZtSuWnzCPcPiCJ9fsPs+CXyofbjY1qyIxRvVBVUnPyuWPBlgBG7rxChWc27uDJM3rgEpi3Zz+/ZOfyv13as+VQNt+mZXJ5Uiv6xZ5MQVER2ccKeXTttmCHXSuuEG5L9pW4hyKtZKVIK1VNEZFZwJ3eq4DHVXWMLzvxZ7NGXbNv8UfBDiFkJNx1U7BDCBkdkux+sGKLLzmr1pn11GlLfM452286JyQzeZXfCFVN8bw8VVV3ea8TkW5+i8oYY2qhPjRr3AzcApwiIuu8VsUAy/wZmDHGnCipBxcE3wE+Ax4F7vFaflhVMyt+izHGBFfY15xV9RDuPs5XByYcY4ypvYh6UHM2xpg6J+xrzsYYUxdJGGRnS87GmLBTHy4IGmNMnRMGFedweNKWMcaU5uSIoSIyXES2ish2EbmninK/ExEVkf5OHIPVnI0xYcep3hoiEgG8CAwDkoHvRWSuqm4qUy4GmAR858yereZsjAlDDtacBwDbVXWHquYD7wGjKyj3IPAY4NjTOiw5G2PCTk2Ss/fY855pgtem2gDeD59M9izz2pf0Bdqp6qdOHoM1axhjwo7UYFQ677Hna7wfERfwNDDuRN5fFUvOxpiw42Bvjb1AO6/5tpR+RF8McDqwyNO3OhGYKyKjVHVVbXZsydkYE3YcTM7fA51FpCPupDwWuKZ4pWeIi9jj+5VFwF9qm5jBkrMxJgw51VtDVQtE5FZgPhABvKaqG0VkCrBKVec6s6fyLDkbY8KOkzehqOo8YF6ZZfdVUvZcp/ZrydkYE3bs9m1jjAlB4XD7tiVnY0zYsVHpjDEmBLmsWcMYY0JPGFScA5Oci+KbBGI3dULCXTcFO4SQkfb4tGCHEDJWbLUnwTmpBjcIhiyrORtjwo4lZ2OMCUEu0WCHUGuWnI0xYcdqzsYYE4IaWM3ZGGNCj9WcjTEmBIVBN2dLzsaY8GM1Z2OMCUFibc7GGBN6rOZsjDEhyHprGGNMCLKaszHGhCDrrWGMMSHIas7GGBOCbGwNY4wJQQ2s5myMMaHHas7GGBOCwqHNORwuahpjTCku8X2qjogMF5GtIrJdRO6pYP0dIrJJRNaJyEIR6eDIMTixEWOMCSWuGkxVEZEI4EXgYqA7cLWIdC9T7Aegv6r2AuYAjzt1DMYYE1Zcoj5P1RgAbFfVHaqaD7wHjPYuoKpfq+oRz+wKoK0jx+BrQRFJEJFXReQzz3x3ERnvRBDGGOOkBuL7JCITRGSV1zTBa1NtgD1e88meZZUZD3zmyDHUoOzrwH+Av3nmtwEzgVedCMQYY5xSkwuCqvoy8HJt9ykivwf6A0Nquy2oWbNGrKrOAooAVLUAKHQiCCed0zWOhXefz9f/byg3nX9qhWVG9G7NF3eex/w7z+WZa/sGOEL/GtK+OQuv/S2Lfj+Am/u2q7Tc8E6x/HLrEHrGRwPQ0CU8MbQrn1/dj8/G9mNgm2aBCjkopj1xI7vWTGPVl440D4Y8VeXZxz7kmpFTuf7Kp9i2ObnCcv9+/jOuuOghhg/6W4XrFy9Yx5A+d7Jl454K14cKEfV5qsZewPsPqa1nWZn9yQW4K66jVPWoE8dQk+ScIyItAfUEMxA45EQQTnEJTLm8F+P+vYILH/+KUb9pw6kJ0aXKJMU25eahnbnihaVc9MQiHvxoQ5CidZ5LYMqQzoz7eD3D3vmeUV3iObV5k3LlmjaM4PpebfghNatk2dgerQAY/u5qfv/ROv52VifCoDdSpd6cvZjRf5wa7DAC5rulW0jefYC3597NX+69gqcffr/CcmcO6c70tyZWuO5ITh5z3llK957t/RmqIxzsrfE90FlEOopIJDAWmOtdQER+A0zHnZj3O3YMNSj7Z09QnURkGfAGUPFvMUh6t2/Orowc9mQe4Vih8vEPexnWI7FUmbEDO/Dmsp1k5R4DICM7Pxih+kWfhJPYdSiXPVl5HCtSPv5pPxee0rJcuT+fkcS0NXs4WlhUsqxz8yZ8m/wrABm5x8g6WkCv+JiAxR5oy1ZuIfNgdrDDCJilizZy0SX9EBF69OpA9uE8MtKzypXr0asDLeNOqnAbr744n2vGnUdkZOjfHuFUbw1PC8GtwHxgMzBLVTeKyBQRGeUp9gQQDcwWkbUiMreSzdX4GHyiqqtxt6WcCdwI9FDVH50IwimJzRqTcjC3ZD71UB6JzaJKlekY15SOcdHMvnUw708czDld4wIdpt8kNI1k3+Hj/1GlZB8loWmjUmV6xEXTKqYRX+/KLLV8c0YOF3SMJUKgbUxjesbH0Cqm9HtN3XVgfxbxiSeXzMclNCN9v+//+G7bnMz+tIMMOuc0P0TnPAd7a6Cq81S1i6p2UtWHPcvuU9W5ntcXqGqCqvbxTKOq3qKPx+BrQRH5GbhBVTeq6gZVPSYin1RRvuQK6OF1852I1RERLiEptilX/2sZE99aw6Nj+hDTOPRrAk4Q4N7BnXh46c/l1s3alEJq9lE+HtOP+8/uxOqUQxQV1f1bYE3tFRUV8eKTH3PLHSODHYrPGrh8n0JVTbLSMeA8ETkDuNHT56/SLiXeV0A7/nluQP7KUw/l0erk4zXlxGaNST2UW7rMwTzW7v6VgiIlOfMIO9Oz6RgXzbo9BwMRol+l5eTT2qu22yq6EWk5x2vS0ZERdGnRlPcu6wNAXJNIXhlxOjd8uoH1+7N50Ctp//d3fdhxsPRnZ+qWD95bxifvfwdA1x7t2J96sGRdetoh4uJ9u+h7JOcoO39OZfIN0wDIzDjMXye/ziPPjKNbj8ovOgdTRLADcEBNkvMRVb1KRO4CvhGRK/FcHAwV6/YcJCm2KW1bNCHtUC4jf9OGSW+tKVXmiw0pjPpNW+Z8v4fmTSPpGBfN7oycIEXsrB/TskhqFkXbmMak5RxlZOd4Jn6xuWT94fxC+r76bcn8e5f15uFlP7N+fzaNG7gQILegiMHtmlNQpGz/9UgFezF1xWVjz+KysWcBsHzJZt6fuYyhw/uwaf1umkY3rrRtuazomCjmLnqgZH7S+Je4+Y5LQjYxQ/0b+EgAVPVxEVkDfAG08EtUJ6iwSLn//fW8MWEgLhFmr9zNT2mHuf2irqxPPsiCjWks2ZrO2V3j+eLO8yhU5dGPN3LwyLFgh+6IQoX7lmznjdE9iRBh1qZUfso8wu0Dkli//zALfsmo9L2xUQ2ZMaoXqkpqTj53LNgSwMgDb8bzt3H2oNOIbR7D9u9e4MGn5zBj5qJgh+U3A8/uxoqlm7lm5FQaNY7kngfGlKwbP+ZpXp11BwAv/fMTFn62lry8Y1xx4UOMuGwA1998YbDCPmHhMPCRqPp2hhGRkar6sdd8B+A6VZ1S3XsD1axRF2jH8O4/XBNpj08LdgghY+fWq4MdQshIjBpV69T6+Lovfc45d/UaFpKpvNqas4h0U9UtwF4RKXvHRqUXBI0xJlgahvCFPl/50qxxBzABeMprmfdZ6XxHIzLGmFoKhzbnas8vqlo8CMhLwGhVPQ/4GvfdgX/xY2zGGHNCnBzPOVhqUvn/u6pmichg3LXlV3AnbGOMCSkRNZhCVU2Sc/EgRyOAf6vqp0Ck8yEZY0zthEPNuSZd6faKyHRgGPCYiDTCBus3xoSgcGhzrklyHgMMB55U1YMi0gq40z9hGWPMiasvvTUA8DyG5X2v+RQgxR9BGWNMbYRyc4Wv6seIP8aYesWSszHGhKCIetbmbIwxdUIYNDlbcjbGhJ9QHqfZV5acjTFhx5o1jDEmBNkFQWOMCUGWnI0xJgRZcjbGmBAUYcnZGGNCTwO7IGiMMaEnHJo1wqA3oDHGlBYhvk/VEZHhIrJVRLaLyD0VrG8kIjM9678TkSQnjsGSszEm7LhEfZ6qIiIRwIvAxUB34GoR6V6m2HjgV1U9Ffgn8Jgjx+DERowxJpQ4ONj+AGC7qu5Q1XzgPWB0mTKjgRme13OAoSJS64YVS87GmLBTk+QsIhNEZJXXNMFrU22APV7zyZ5lVFRGVQtwP1+1ZW2PISAXBHc+1S0Qu6kThnySHuwQQsaKrVcHO4SQ0bHru8EOIWTk7h5V623UpCudqr4MvFzrnTrMas7GmLAjNZiqsRdo5zXf1rOswjIi0gBoBmTUInzAx+QsIgt9WWaMMaFAxPepGt8DnUWko4hEAmOBuWXKzAWu87y+AvhKVWvd0brKZg0RaQw0AWJFpDnHTzQnUb7dxRhjQoJTTQKqWiAitwLzgQjgNVXdKCJTgFWqOhd4FXhTRLYDmbgTeK1V1+Z8IzAZaA2s5nhyzgJecCIAY4xxmjh4h6CqzgPmlVl2n9frPOBKx3boUWVyVtVngWdF5DZVfd7pnRtjjD+Ewx2CPvXWUNXnReRMIMn7Par6hp/iMsaYExYGudm35CwibwKdgLVAoWexApacjTEhp97UnIH+QHcnrkAaY4y/hUFu9vmi5gYg0Z+BGGOMUxzsShc0vtacY4FNIrISOFq8UFVrfyuPMcY4LIRzrs98Tc7/8GcQxhjjpHrzJBRVXSwiHYDOqrpARJrg7pBtjDEhJwxys8+3b/8f7qHwpnsWtQE+9FNMxhhTKyLq8xSqfL0g+CfgLNx3BqKqPwHx/grKGGNqw8GBj4LG1zbno6qaXzx+tGfkpdA95Rhj6rVQ7oXhK19rzotF5K9AlIgMA2YDH/svLGOMOXGuGkyhytfY7gHSgfW4B0OaB/zdX0EZY0xtOPiYqqDxtVkjCvdQef+GkoceRgFH/BWYMcacqPrUrLEQdzIuFgUscD4cY4ypvfp0QbCxqmYXz6hqtqevszHGhJxQbq7wla815xwR6Vs8IyL9gFz/hGSMMbUTDjVnX5PzJGC2iHwjIkuBmcCt/gurZlSVhx6azrBhExg58jY2btxeYbnx4+9n1KjbGDHiFu6770UKCwtLrX/ttQ/o2nUkmZmHAhG2XwyIO5k3z+3L2+f15ZpO5Z8kNqp9Iv85pw+vnN2b58/sSYfoqFLr4xtH8tnwgVx1SutAhew3qsqzj33INSOncv2VT7Ftc3KF5f79/GdccdFDDB/0twrXL16wjiF97mTLxj3+DDdopj1xI7vWTGPVl48HOxTHuER9nkJVtcnZc/HvbKAbcDNwE3Caqq72c2w+W7JkNb/8so8vvpjOgw/+iX/846UKyz377N3Mnfs8n3zyIr/+eojPP19Wsi4lJZ1ly36gdeu4QIXtOBcw+fRTuGvlRq5b9AND28SVS74L9qVz/ZK13PDNj7z7817+1L1jqfV/6tGRlft/DWDU/vPd0i0k7z7A23Pv5i/3XsHTD79fYbkzh3Rn+lsTK1x3JCePOe8spXvP9v4MNajenL2Y0X+cGuwwHBUOo9JVm5xVtRC4WlWPqeoGz3QsALH5bOHCFVx66fmICH36dCMrK4f9+zPLlYuOdjeTFxQUcuxYAeL1m3n00Ve4887rSy2ra047OYa9OXmkHDlKgSpf7U1ncEKLUmWOFBz/byEqovSvf3BCC1KOHGVndnh0wlm6aCMXXdIPEaFHrw5kH84jIz2rXLkevTrQMu6kCrfx6ovzuWbceURG+np5pu5ZtnILmQezqy9Yh9SnZo1lIvKCiJwtIn2LJ79GVgNpaRkkJsaWzCcmtiQtLaPCsuPH38eZZ/6epk2juOiiMwFYsGAF8fEt6datY4XvqStioyLZn5dfMp+el09sVKNy5S7tkMg75/XlptOSeHbjDsCdqK85tQ0ztu0OWLz+dmB/FvGJJ5fMxyU0I32/701W2zYnsz/tIIPOOc0P0Rl/qk83ofQBegBTgKc805N+ismvXn11CkuXvkF+/jFWrFhHbm4e06fPZtKka4MdWsB8uCuVa75ew/TNv/DHU9sBMK5Le2bv2EduYVGQowsNRUVFvPjkx9xyx8hgh2JOQDg0a/g6ZOh5Nd2wiEwAJgBMnz6FCROuqukmqvT2258ya9Z8AHr27Exq6oGSdampGSQktKz0vY0aRTJ06EAWLvyO2NjmJCenMXr0RM97D3D55ZOZPftp4uKaOxqzvx3IzSe+cWTJfFzjSA7kHq20/MJ9B7i9Zyf4EbqfHM2QVi258bQkohs2QFXJLyrig19SAxG6Yz54bxmfvP8dAF17tGN/6sGSdelph4iLb+bTdo7kHGXnz6lMvmEaAJkZh/nr5Nd55JlxdOvRzvG4jdNCOOv6yNcHvCYAjwCtVfViEekODFLVVyt7j6q+DLzsntvm+CXRa68dwbXXjgBg0aLveeutTxgx4hx+/HErMTFNiI8v3daak5NLTk4u8fEtKCgoZNGi7+nfvwdduyaxfPlbJeXOP388c+Y8TYsWvv0Rh5Ithw7TtmkUiVGNOJCXz/lt4nhwzdZSZdo0bczenDwABsU3J9nz+rblG0rKjOvSjtyCwjqXmAEuG3sWl409C4DlSzbz/sxlDB3eh03rd9M0unGlbctlRcdEMXfRAyXzk8a/xM13XGKJuY5wSWCGmxeRFrh7ryUBvwBjVPXXMmX6AC8BJ+F+QPbDqjqzum37epXjdeA/QHFfo22egCpNzoE0ZEh/Fi9exbBhE4iKasQjj0wqWTd69EQ++ug5cnPzuPnmB8nPL0C1iDPO6MXYsRcHMWrnFSo8s3EHT57RA5fAvD37+SU7l//t0p4th7L5Ni2Ty5Na0S/2ZAqKisg+Vsija7cFO2y/GXh2N1Ys3cw1I6fSqHEk9zwwpmTd+DFP8+qsOwB46Z+fsPCzteTlHeOKCx9ixGUDuP7mC4MVdsDNeP42zh50GrHNY9j+3Qs8+PQcZsxcFOywailgNed7gIWqOlVE7vHM312mzBHgj6r6k4i0BlaLyHxVPVjVhsWXB2qLyPeq+lsR+UFVf+NZtlZV+/gWv/M157pqyCfpwQ4hZMwcWvFF2/qoY9d3gx1CyMjd/W6tM+uh/M99zjnNIoef8P5EZCtwrqqmiEgrYJGqdq3mPT8CV3jGxa9UTe4QbIlnDGcRGQjU3Ts1jDFhzvfOdCIyQURWeU0TarCjBFVN8bxOBRKqjEpkABAJ/Fzdhn1t1rgDmAt0EpFlQBxwhY/vNcaYgBLxvZNc6etjFW1LFgCJFawqdUupqqpU8dwrT836TeA6Va22W5SvvTXWiMgQoCvu083WULsRxRhjjnOuzVlVL6h0LyJpItLKq1ljfyXlTgI+Bf6mqit82a+vvTUaA7cAg3E3bXwjItNUNc+X9xtjTCC5And7yVzgOmCq5+dHZQuISCTwAfCGqs7xdcO+HsEbuG9CeR54wfP6TV93YowxgRWwewSnAsNE5CfgAs88ItJfRF7xlBkDnAOME5G1nqlPdRv2tc35dFXt7jX/tYhs8jl8Y4wJoECNkaOqGcDQCpavAm7wvH4LeKtsmer4etpY4+mhAYCInAGsqunOjDEmMOr+0Ee+1pz7Ad+KSPGoOO2BrSKyHvdFyl5+ic4YY06AhHDS9ZWvyXl4VStFpHnZWxaNMSZYhMDcvu1Pvnal21XVehFZA4TMEKLGmPqtLo/LXsypEcTr/idhjAkjdT8lOZWcbewMY0zIkJAeRt834fvsHWNMPWY152J1/5MwxoSNetXm7HlmYPHt28tUdY3X6nKdsI0xJljCobeGTw0zInIfMANoCcQC/xGRvxevV9Xyj7o2xpigqT83oVwL9C4e6EhEpgJrgYf8FJcxxpyw+nQTyj6gMVA8Cl0jYK9fIjLGmFqqT23Oh4CNIvIl7jbnYcBKEXkOQFUn+ik+Y4w5AfWnK90HnqnYIudDMcYYZ9Sbfs6qOsPfgRhjjFPCvllDRGap6pji0efKrrfR6IwxoSn8a86TPD83A3d6LRfgcb9EZIwxtRQOvTVEtfphMURkjar2LbNsXV2rOYvIBM+Tdus9+yyOs8/CzT6H0FJl3V9EbvY0aXQVkXVe005gXWBCdNSEYAcQQuyzOM4+Czf7HEJIdc0a7wCfAY8C93gtP2x3BRpjjP9UmZxV9RDuPs5XByYcY4wxEA6XNGvG2tOOs8/iOPss3OxzCCE+XRA0xhgTWPWt5myMMXWCJWdjjAlBlpzDmIicLCK3eF63FpE5wY4p2ETkFRHpHuw4jKlOSCZn76RSRZkkEbnGh20liciGKtaPE5EXKln3bdltiMi5IvJJdfsNEScDtwCo6j5VvSK44QSfqt6gqpuCHYevwu0EKyKTRaRJsOOoC0IyOeOVVKqQBFSbnGtDVc/05/YDYCrQSUTWishsrxPMOBH5SEQWichPInJ/kOP0CxFpKiKfisiPIrJBRK7yHHN/ERnl+VzWishWz41ViEg/EVksIqtFZL6ItAryYZxMkE+wIuLkg6AnA5acfRCqydk7qTzhmTaIyHoRucqrzNmeMrd7arffiMgaz1STxNquokQlItlOHlQQ3AP8rKp9KD02CsAA4HdAL+BKEekf4NgCYTiwT1V7q+rpwOfFK1R1rqr28Xw2PwJPikhD4HngClXtB7wGPByEuL3V+gTr+dvYIiJvi8hmEZlTXHut7GTk2e4zIrIKmCQivxWRbz0nupUiEiMiEZ6/ze89dw7f6HnvuZ73z/Har4jIRKA18LWIfO3vD67OU9WQm3DXijd4Xv8O+BKIABKA3UAr4FzgE6/3NAEae153BlaV3VYl+xoHpOB+PmIUsAHo71mXXUE8pfYbylOZuL1fjwPe8Co3BZgc7Hj9cPxdgF+Ax4CzPcsWFf9+PfN3ATM8r08HsnA/gm0tsB74IoR/hxV+byvZhgJneeZfA/4CNAS+BeI8y68CXvP6nP7leR0J7AB+65k/CfcNbBOAv3uWNQJWAR09fyOHgLa4K4DLgcGecr8AscH+btSFycl/V/xlMPCuqhYCaSKyGPgt7j8ibw2BF0SkD1CI+w/TV1+qagaAiLzv2eeq2gYe4sp2cA+7Du+quk3cT43/H+AhEVnovV5ELgCuBM4pXgRsVNVBgY30hNXke7tHVZd5Xr8FTMT9n8TpwJfiHv84AnfCLzbT87MrkKKq3wOoapZnnxcCvUSkuKmlGe6KUT6wUlWTPeXW4j5BLK3FsdY7dSE5++p2IA3ojftsnVd18VLCNVEdBmIqWTdMRFoAucClwP8GKqhAEZHWQKaqviUiB4EbvNZ1AF4ELlLVXM/irUCciAxS1eWeZo4uqrox0LH7qCbf24rKVncyyqlm/wLcpqrzSy0UORc46rWokPDKNQERqm3O3knlG+AqT/tWHO5azkrKJ55muM/uRcAfcNcCfDVMRFqISBTuRLWsmvJ1gqdWtczTTvlEmdUrgf/iHl3wv6oajv8p9MT9rMu1wP2Uflr8ONxNAh962nPnqWo+cAXwmIj8iLtpI9gXhas9wfr4vW0vIsVJ+BrctdiSkxGAiDQUkR4VvHcr0EpEfuspF+O5SDgfuNlzEkNEuohI01ocj/ESkmczVc0QkeKk8hnuBPIj7rP9XaqaKiIZQKHnj+h14F/Af0Xkj7j/XavurO+tOFG1Bd4Kp0SlqpX1aElW1UsDGUugeWp088ssPtfzcxXwQAXvWcvxZo6gK/O3sLnM6pp8b7cCfxKR14BNwEuqmu9pknhORJrhzgfPAKX+U/CUuwp43nMiyAUuAF7B3VyxRtztIum4TxJVeRn4XET2qep51ZSt12xsjXpIRMbhvnh0a7BjMSemJr9DEUnCfRH7dH/HZZwTkjVn41+q+jru/zaMMSGq3tScReQi3F2qvO1U1cuCEY8xThORlsDCClYNLe7VYeqOepOcjTGmLgnV3hrGGFOvWXI2xpgQZMnZGGNCkCVnY4wJQf8f0h+Si6VTAoIAAAAASUVORK5CYII=\n"
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          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}