md_indeed_08_10_2021.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 5,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.5"
    },
    "colab": {
      "name": "md_indeed_08_10_2021.ipynb",
      "provenance": [],
      "include_colab_link": true
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/catabia/cs391_spring21/blob/main/md_indeed_08_10_2021.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "moved-regular"
      },
      "source": [
        "import pandas as pd\n",
        "from matplotlib import pyplot as plt\n",
        "plt.style.use('ggplot')\n",
        "from matplotlib.pyplot import figure\n",
        "import seaborn as sns\n",
        "import numpy as np\n",
        "import math\n",
        "from matplotlib import dates"
      ],
      "id": "moved-regular",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LnLEmNnIjOTG"
      },
      "source": [
        "Montgomery County:  https://dcwagelaw.com/montgomery-county-minimum-wage/\n",
        "\n",
        "MD: https://www.dol.gov/agencies/whd/state/minimum-wage/history\n"
      ],
      "id": "LnLEmNnIjOTG"
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cPDCVJZD410G",
        "outputId": "47dc9704-c419-473f-954e-79e086d6cb50"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "id": "cPDCVJZD410G",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "superior-villa",
        "outputId": "0b855327-328b-48d3-fce8-f82045989988"
      },
      "source": [
        "df = pd.read_csv(\"/content/drive/MyDrive/hannah_research/data/indeed_md_08_03_21.txt\", sep='\\t')\n",
        "df.shape"
      ],
      "id": "superior-villa",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(43813, 47)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "numerous-neighbor",
        "outputId": "5c5e6d20-fe9b-4747-fd48-8e43386a4d27"
      },
      "source": [
        "#pandas!\n",
        "pd.set_option('display.max_rows', 500) \n",
        "\n",
        "#dates!\n",
        "df['review_date'] = pd.to_datetime(df['review_date'])\n",
        "df.set_index(pd.DatetimeIndex(df['review_date']))\n",
        "\n",
        "df.info()"
      ],
      "id": "numerous-neighbor",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 43813 entries, 0 to 43812\n",
            "Data columns (total 47 columns):\n",
            " #   Column                Non-Null Count  Dtype         \n",
            "---  ------                --------------  -----         \n",
            " 0   platform              43813 non-null  object        \n",
            " 1   scrape_company_num    43813 non-null  int64         \n",
            " 2   date_scraped          43813 non-null  object        \n",
            " 3   scrape_folder_name    43813 non-null  object        \n",
            " 4   scrape_file_name      43813 non-null  object        \n",
            " 5   base_url              43813 non-null  object        \n",
            " 6   page_num              43813 non-null  int64         \n",
            " 7   parent_company        43813 non-null  object        \n",
            " 8   be_careful            43813 non-null  int64         \n",
            " 9   company_name          43813 non-null  object        \n",
            " 10  scraped_from_url      43813 non-null  object        \n",
            " 11  empid                 43813 non-null  object        \n",
            " 12  language              0 non-null      float64       \n",
            " 13  id                    43813 non-null  object        \n",
            " 14  review_url            43813 non-null  object        \n",
            " 15  uid                   43813 non-null  object        \n",
            " 16  review_date           43813 non-null  datetime64[ns]\n",
            " 17  review_month          43813 non-null  int64         \n",
            " 18  review_day            43813 non-null  int64         \n",
            " 19  review_year           43813 non-null  int64         \n",
            " 20  parsable_loc          43813 non-null  int64         \n",
            " 21  state                 43813 non-null  object        \n",
            " 22  city                  43813 non-null  object        \n",
            " 23  country               43813 non-null  object        \n",
            " 24  location              43813 non-null  object        \n",
            " 25  job_title             43809 non-null  object        \n",
            " 26  norm_job_title        43652 non-null  object        \n",
            " 27  current               43813 non-null  int64         \n",
            " 28  length_of_employment  0 non-null      float64       \n",
            " 29  overall_rating        43813 non-null  int64         \n",
            " 30  work_life_rating      43813 non-null  int64         \n",
            " 31  compensation_rating   43813 non-null  int64         \n",
            " 32  job_security_rating   43813 non-null  int64         \n",
            " 33  management_rating     43813 non-null  int64         \n",
            " 34  culture_rating        43813 non-null  int64         \n",
            " 35  review_title          43679 non-null  object        \n",
            " 36  review_text           43813 non-null  object        \n",
            " 37  pros                  19914 non-null  object        \n",
            " 38  cons                  19138 non-null  object        \n",
            " 39  advice_to_management  0 non-null      float64       \n",
            " 40  helpful_yes           43813 non-null  int64         \n",
            " 41  helpful_no            43813 non-null  int64         \n",
            " 42  recommend             0 non-null      float64       \n",
            " 43  ceo_approval          0 non-null      float64       \n",
            " 44  business_outlook      0 non-null      float64       \n",
            " 45  redacted              43813 non-null  int64         \n",
            " 46  is_deletable          43813 non-null  int64         \n",
            "dtypes: datetime64[ns](1), float64(6), int64(18), object(22)\n",
            "memory usage: 15.7+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 316
        },
        "id": "defined-marine",
        "outputId": "ee375ebe-425b-48d4-b51c-3574d7e57c7c"
      },
      "source": [
        "sns.countplot(data=df, x='review_year')\n",
        "plt.title(\"Reviews in IL\")"
      ],
      "id": "defined-marine",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Reviews in IL')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "absolute-projector"
      },
      "source": [
        "\n",
        "#df = df[df.be_careful!=1]"
      ],
      "id": "absolute-projector",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": false,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 316
        },
        "id": "velvet-treaty",
        "outputId": "6a3c8306-3140-4542-ca91-cc29be9c8b56"
      },
      "source": [
        "# Cut off before 2012, after 2020\n",
        "\n",
        "df = df[df.review_year>=2012]\n",
        "#df = df[df.review_year<2021]\n",
        "sns.countplot(data=df, x='review_year')\n",
        "plt.title(\"Reviews in OR\")"
      ],
      "id": "velvet-treaty",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Reviews in OR')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "double-demand"
      },
      "source": [
        "districts = [ 'Ashton',\n",
        "'Barnesville',\n",
        "'Beallsville',\n",
        "'Bethesda',\n",
        "'Boyds',\n",
        "'Brinklow',\n",
        "'Brookeville',\n",
        "'Burtonsville',\n",
        "'Cabin John',\n",
        "'Chevy Chase',\n",
        "'Clarksburg',\n",
        "'Damascus',\n",
        "'Derwood',\n",
        "'Dickerson',\n",
        "'Gaithersburg',\n",
        "'Garrett Park',\n",
        "'Germantown',\n",
        "'Glen Echo',\n",
        "'Kensington',\n",
        "'Montgomery Village',\n",
        "'Olney',\n",
        "'Poolesville',\n",
        "'Potomac',\n",
        "'Rockville',\n",
        "'Sandy Spring',\n",
        "'Silver Spring',\n",
        "'Spencerville',\n",
        "'Takoma Park',\n",
        "'Washington Groves']"
      ],
      "id": "double-demand",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "97cs6--ik2t8",
        "outputId": "2f2e5615-8888-4d42-e0e7-b8c99576fd9f"
      },
      "source": [
        "\n",
        "df.count()"
      ],
      "id": "97cs6--ik2t8",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "platform                43805\n",
              "scrape_company_num      43805\n",
              "date_scraped            43805\n",
              "scrape_folder_name      43805\n",
              "scrape_file_name        43805\n",
              "base_url                43805\n",
              "page_num                43805\n",
              "parent_company          43805\n",
              "be_careful              43805\n",
              "company_name            43805\n",
              "scraped_from_url        43805\n",
              "empid                   43805\n",
              "language                    0\n",
              "id                      43805\n",
              "review_url              43805\n",
              "uid                     43805\n",
              "review_date             43805\n",
              "review_month            43805\n",
              "review_day              43805\n",
              "review_year             43805\n",
              "parsable_loc            43805\n",
              "state                   43805\n",
              "city                    43805\n",
              "country                 43805\n",
              "location                43805\n",
              "job_title               43801\n",
              "norm_job_title          43644\n",
              "current                 43805\n",
              "length_of_employment        0\n",
              "overall_rating          43805\n",
              "work_life_rating        43805\n",
              "compensation_rating     43805\n",
              "job_security_rating     43805\n",
              "management_rating       43805\n",
              "culture_rating          43805\n",
              "review_title            43671\n",
              "review_text             43805\n",
              "pros                    19907\n",
              "cons                    19132\n",
              "advice_to_management        0\n",
              "helpful_yes             43805\n",
              "helpful_no              43805\n",
              "recommend                   0\n",
              "ceo_approval                0\n",
              "business_outlook            0\n",
              "redacted                43805\n",
              "is_deletable            43805\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "synthetic-dress",
        "outputId": "86b289ae-bcaa-40a1-f09a-bd149b6c40b8"
      },
      "source": [
        "df['treat_loc'] = 0\n",
        "df.loc[df.city.isin(districts),'treat_loc']= 1\n",
        "df.treat_loc.sum()\n"
      ],
      "id": "synthetic-dress",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "4937"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "forced-sector"
      },
      "source": [
        "df['month_year'] = pd.to_datetime(df['review_date']).dt.strftime('%Y-%m')"
      ],
      "id": "forced-sector",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RYy0MR0WhB1T",
        "outputId": "b2650056-7ca8-44e7-9d05-ed4d697317ef"
      },
      "source": [
        "df.review_date.min()"
      ],
      "id": "RYy0MR0WhB1T",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Timestamp('2012-01-02 00:00:00')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 655
        },
        "id": "immediate-strength",
        "outputId": "f094fa86-305c-41fb-8059-e96412e8fcba"
      },
      "source": [
        "\n",
        "print('Total number of reviews:', df.shape[0])\n",
        "print('Total reviews in Portland:', df.treat_loc.sum())\n",
        "\n",
        "data_viz = df[['month_year', 'treat_loc']]\n",
        "data_viz = data_viz.groupby(['month_year', 'treat_loc']).size().reset_index(name='count')\n",
        "#data_viz = data_viz.groupby(['review_year', 'seattle']).agg({'count'})\n",
        "\n",
        "#print(data_viz)\n",
        "\n",
        "figure(figsize=(12, 8), dpi=80)\n",
        "sns.lineplot(data=data_viz, x='month_year', y='count', hue = 'treat_loc', linewidth=2, style = 'treat_loc')\n",
        "plt.title(\"Indeed.com Data Set\\nOregon\", fontsize=20)\n",
        "plt.xlabel('Time', fontsize=20)\n",
        "plt.ylabel('Number of Reviews', fontsize=20)\n",
        "#ticks, labels = plt.xticks()\n",
        "\n",
        "plt.xticks(ticks=[0,12, 24, 36, 48, 60, 72, 84, 96, 108, 120], labels=[ '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020', '2021'])\n",
        "plt.legend(['Not Montgomery County', 'Montgomery County'])\n"
      ],
      "id": "immediate-strength",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Total number of reviews: 43805\n",
            "Total reviews in Portland: 4937\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f19de274750>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 960x640 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 545
        },
        "id": "cordless-prayer",
        "outputId": "33209ffa-e577-4e83-c0a1-6229d514978e"
      },
      "source": [
        "figure(figsize=(12, 6), dpi=80)\n",
        "top_jobs = df.norm_job_title.value_counts()[:10].index.tolist()\n",
        "job_df = df[df.norm_job_title.isin(top_jobs)]\n",
        "print(job_df.shape[0])\n",
        "sns.countplot(data=job_df, x='norm_job_title', hue = 'treat_loc', order = top_jobs)\n",
        "plt.title(\"Top 10 Jobs\")\n",
        "plt.xlabel('Job Title')\n",
        "locs, labs = plt.xticks()\n",
        "l= ['Cashier', 'Sales Associate', 'Crew Member', 'Customer Service\\nRepresentative', 'Barista', 'Customer Service\\nAssociate / Cashier', 'Retail Sales\\nAssociate', 'Shift Manager', 'Associate', 'Team Member']\n",
        "plt.xticks(ticks=locs, labels=l, rotation=30)\n",
        "plt.ylabel('Number of Reviews')\n",
        "plt.legend(['Not Montgomery County', 'Montgomery County'])"
      ],
      "id": "cordless-prayer",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "15191\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f19dbe67250>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 960x480 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 529
        },
        "id": "opposite-denver",
        "outputId": "9c10e7c9-34a3-428b-d49f-aeb2483531b6"
      },
      "source": [
        "figure(figsize=(12, 6), dpi=80)\n",
        "top_comp = df.company_name.value_counts()[:10].index.tolist()\n",
        "comp_df = df[df.company_name.isin(top_comp)]\n",
        "print(job_df.shape[0])\n",
        "sns.countplot(data=comp_df, x='company_name', hue = 'treat_loc', order = top_comp)\n",
        "plt.title(\"Top 10 Companies\")\n",
        "plt.xlabel('Company name')\n",
        "locs, labs = plt.xticks()\n",
        "plt.xticks(rotation=30)\n",
        "plt.ylabel('Number of Reviews')\n",
        "plt.legend(['Not Montgomery County', 'Montgomery County'])"
      ],
      "id": "opposite-denver",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "15191\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f19dbda9350>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 960x480 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "acknowledged-seeker",
        "outputId": "37ff00dd-1f88-4fed-fb8a-33ae207c8dc1"
      },
      "source": [
        "comp = df.groupby(['month_year', 'treat_loc']).agg({'overall_rating':['mean', 'count']})\n",
        "comp.columns = ['mean', 'count']\n",
        "comp.reset_index(inplace=True)\n",
        "comp"
      ],
      "id": "acknowledged-seeker",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>month_year</th>\n",
              "      <th>treat_loc</th>\n",
              "      <th>mean</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2012-01</td>\n",
              "      <td>0</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2012-01</td>\n",
              "      <td>1</td>\n",
              "      <td>4.500000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2012-02</td>\n",
              "      <td>0</td>\n",
              "      <td>4.210526</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2012-02</td>\n",
              "      <td>1</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2012-03</td>\n",
              "      <td>0</td>\n",
              "      <td>3.713115</td>\n",
              "      <td>122</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2012-03</td>\n",
              "      <td>1</td>\n",
              "      <td>4.350000</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>2012-04</td>\n",
              "      <td>0</td>\n",
              "      <td>3.820690</td>\n",
              "      <td>145</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>2012-04</td>\n",
              "      <td>1</td>\n",
              "      <td>3.750000</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>2012-05</td>\n",
              "      <td>0</td>\n",
              "      <td>3.694118</td>\n",
              "      <td>170</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>2012-05</td>\n",
              "      <td>1</td>\n",
              "      <td>3.571429</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>2012-06</td>\n",
              "      <td>0</td>\n",
              "      <td>3.638889</td>\n",
              "      <td>180</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>2012-06</td>\n",
              "      <td>1</td>\n",
              "      <td>3.805556</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>2012-07</td>\n",
              "      <td>0</td>\n",
              "      <td>3.633065</td>\n",
              "      <td>248</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>2012-07</td>\n",
              "      <td>1</td>\n",
              "      <td>4.045455</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>2012-08</td>\n",
              "      <td>0</td>\n",
              "      <td>3.745098</td>\n",
              "      <td>204</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>2012-08</td>\n",
              "      <td>1</td>\n",
              "      <td>3.620690</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>2012-09</td>\n",
              "      <td>0</td>\n",
              "      <td>3.605882</td>\n",
              "      <td>170</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>2012-09</td>\n",
              "      <td>1</td>\n",
              "      <td>3.750000</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>2012-10</td>\n",
              "      <td>0</td>\n",
              "      <td>3.700000</td>\n",
              "      <td>170</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>2012-10</td>\n",
              "      <td>1</td>\n",
              "      <td>3.680000</td>\n",
              "      <td>25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>2012-11</td>\n",
              "      <td>0</td>\n",
              "      <td>3.573770</td>\n",
              "      <td>122</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>2012-11</td>\n",
              "      <td>1</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>2012-12</td>\n",
              "      <td>0</td>\n",
              "      <td>3.807229</td>\n",
              "      <td>166</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>2012-12</td>\n",
              "      <td>1</td>\n",
              "      <td>3.434783</td>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>2013-01</td>\n",
              "      <td>0</td>\n",
              "      <td>3.763713</td>\n",
              "      <td>237</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>2013-01</td>\n",
              "      <td>1</td>\n",
              "      <td>4.058824</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>2013-02</td>\n",
              "      <td>0</td>\n",
              "      <td>3.545946</td>\n",
              "      <td>185</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>2013-02</td>\n",
              "      <td>1</td>\n",
              "      <td>3.800000</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>2013-03</td>\n",
              "      <td>0</td>\n",
              "      <td>3.737968</td>\n",
              "      <td>187</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>2013-03</td>\n",
              "      <td>1</td>\n",
              "      <td>3.966667</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>2013-04</td>\n",
              "      <td>0</td>\n",
              "      <td>3.620853</td>\n",
              "      <td>211</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>2013-04</td>\n",
              "      <td>1</td>\n",
              "      <td>3.742857</td>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>2013-05</td>\n",
              "      <td>0</td>\n",
              "      <td>3.587379</td>\n",
              "      <td>206</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>2013-05</td>\n",
              "      <td>1</td>\n",
              "      <td>3.925926</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>2013-06</td>\n",
              "      <td>0</td>\n",
              "      <td>3.620833</td>\n",
              "      <td>240</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>2013-06</td>\n",
              "      <td>1</td>\n",
              "      <td>3.952381</td>\n",
              "      <td>42</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>2013-07</td>\n",
              "      <td>0</td>\n",
              "      <td>3.578544</td>\n",
              "      <td>261</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>2013-07</td>\n",
              "      <td>1</td>\n",
              "      <td>4.027778</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>2013-08</td>\n",
              "      <td>0</td>\n",
              "      <td>3.661818</td>\n",
              "      <td>275</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>2013-08</td>\n",
              "      <td>1</td>\n",
              "      <td>3.727273</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>2013-09</td>\n",
              "      <td>0</td>\n",
              "      <td>3.648069</td>\n",
              "      <td>233</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>2013-09</td>\n",
              "      <td>1</td>\n",
              "      <td>3.708333</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>2013-10</td>\n",
              "      <td>0</td>\n",
              "      <td>3.771536</td>\n",
              "      <td>267</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>2013-10</td>\n",
              "      <td>1</td>\n",
              "      <td>3.931034</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>2013-11</td>\n",
              "      <td>0</td>\n",
              "      <td>3.650655</td>\n",
              "      <td>229</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>2013-11</td>\n",
              "      <td>1</td>\n",
              "      <td>3.827586</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>2013-12</td>\n",
              "      <td>0</td>\n",
              "      <td>3.616162</td>\n",
              "      <td>198</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>2013-12</td>\n",
              "      <td>1</td>\n",
              "      <td>3.562500</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>2014-01</td>\n",
              "      <td>0</td>\n",
              "      <td>3.643087</td>\n",
              "      <td>311</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>2014-01</td>\n",
              "      <td>1</td>\n",
              "      <td>3.972222</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>2014-02</td>\n",
              "      <td>0</td>\n",
              "      <td>3.635071</td>\n",
              "      <td>211</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51</th>\n",
              "      <td>2014-02</td>\n",
              "      <td>1</td>\n",
              "      <td>3.937500</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>2014-03</td>\n",
              "      <td>0</td>\n",
              "      <td>3.749064</td>\n",
              "      <td>267</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>2014-03</td>\n",
              "      <td>1</td>\n",
              "      <td>3.861111</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>54</th>\n",
              "      <td>2014-04</td>\n",
              "      <td>0</td>\n",
              "      <td>3.702830</td>\n",
              "      <td>212</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>55</th>\n",
              "      <td>2014-04</td>\n",
              "      <td>1</td>\n",
              "      <td>3.806452</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>2014-05</td>\n",
              "      <td>0</td>\n",
              "      <td>3.692982</td>\n",
              "      <td>228</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>2014-05</td>\n",
              "      <td>1</td>\n",
              "      <td>3.700000</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>2014-06</td>\n",
              "      <td>0</td>\n",
              "      <td>3.633333</td>\n",
              "      <td>210</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>2014-06</td>\n",
              "      <td>1</td>\n",
              "      <td>3.962963</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>60</th>\n",
              "      <td>2014-07</td>\n",
              "      <td>0</td>\n",
              "      <td>3.765690</td>\n",
              "      <td>239</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>61</th>\n",
              "      <td>2014-07</td>\n",
              "      <td>1</td>\n",
              "      <td>3.400000</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62</th>\n",
              "      <td>2014-08</td>\n",
              "      <td>0</td>\n",
              "      <td>3.554113</td>\n",
              "      <td>231</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>63</th>\n",
              "      <td>2014-08</td>\n",
              "      <td>1</td>\n",
              "      <td>3.434783</td>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>64</th>\n",
              "      <td>2014-09</td>\n",
              "      <td>0</td>\n",
              "      <td>3.717073</td>\n",
              "      <td>205</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>65</th>\n",
              "      <td>2014-09</td>\n",
              "      <td>1</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>66</th>\n",
              "      <td>2014-10</td>\n",
              "      <td>0</td>\n",
              "      <td>3.896154</td>\n",
              "      <td>260</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>67</th>\n",
              "      <td>2014-10</td>\n",
              "      <td>1</td>\n",
              "      <td>3.871795</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68</th>\n",
              "      <td>2014-11</td>\n",
              "      <td>0</td>\n",
              "      <td>3.687831</td>\n",
              "      <td>189</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>69</th>\n",
              "      <td>2014-11</td>\n",
              "      <td>1</td>\n",
              "      <td>4.111111</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>70</th>\n",
              "      <td>2014-12</td>\n",
              "      <td>0</td>\n",
              "      <td>3.611111</td>\n",
              "      <td>198</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71</th>\n",
              "      <td>2014-12</td>\n",
              "      <td>1</td>\n",
              "      <td>3.285714</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>2015-01</td>\n",
              "      <td>0</td>\n",
              "      <td>3.675676</td>\n",
              "      <td>333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>73</th>\n",
              "      <td>2015-01</td>\n",
              "      <td>1</td>\n",
              "      <td>3.833333</td>\n",
              "      <td>42</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>74</th>\n",
              "      <td>2015-02</td>\n",
              "      <td>0</td>\n",
              "      <td>3.759494</td>\n",
              "      <td>237</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75</th>\n",
              "      <td>2015-02</td>\n",
              "      <td>1</td>\n",
              "      <td>4.551724</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>2015-03</td>\n",
              "      <td>0</td>\n",
              "      <td>3.790441</td>\n",
              "      <td>272</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>2015-03</td>\n",
              "      <td>1</td>\n",
              "      <td>4.066667</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>2015-04</td>\n",
              "      <td>0</td>\n",
              "      <td>3.716667</td>\n",
              "      <td>240</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>2015-04</td>\n",
              "      <td>1</td>\n",
              "      <td>3.750000</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>2015-05</td>\n",
              "      <td>0</td>\n",
              "      <td>3.684647</td>\n",
              "      <td>241</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>81</th>\n",
              "      <td>2015-05</td>\n",
              "      <td>1</td>\n",
              "      <td>3.756757</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>2015-06</td>\n",
              "      <td>0</td>\n",
              "      <td>3.633700</td>\n",
              "      <td>273</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>2015-06</td>\n",
              "      <td>1</td>\n",
              "      <td>3.864865</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>2015-07</td>\n",
              "      <td>0</td>\n",
              "      <td>3.529617</td>\n",
              "      <td>287</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85</th>\n",
              "      <td>2015-07</td>\n",
              "      <td>1</td>\n",
              "      <td>3.437500</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>86</th>\n",
              "      <td>2015-08</td>\n",
              "      <td>0</td>\n",
              "      <td>3.753788</td>\n",
              "      <td>264</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>87</th>\n",
              "      <td>2015-08</td>\n",
              "      <td>1</td>\n",
              "      <td>3.925926</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>88</th>\n",
              "      <td>2015-09</td>\n",
              "      <td>0</td>\n",
              "      <td>3.674242</td>\n",
              "      <td>264</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>89</th>\n",
              "      <td>2015-09</td>\n",
              "      <td>1</td>\n",
              "      <td>3.888889</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90</th>\n",
              "      <td>2015-10</td>\n",
              "      <td>0</td>\n",
              "      <td>3.607018</td>\n",
              "      <td>285</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>91</th>\n",
              "      <td>2015-10</td>\n",
              "      <td>1</td>\n",
              "      <td>3.794872</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>92</th>\n",
              "      <td>2015-11</td>\n",
              "      <td>0</td>\n",
              "      <td>3.762712</td>\n",
              "      <td>236</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>2015-11</td>\n",
              "      <td>1</td>\n",
              "      <td>3.843750</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>94</th>\n",
              "      <td>2015-12</td>\n",
              "      <td>0</td>\n",
              "      <td>3.691589</td>\n",
              "      <td>214</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>95</th>\n",
              "      <td>2015-12</td>\n",
              "      <td>1</td>\n",
              "      <td>3.933333</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>2016-01</td>\n",
              "      <td>0</td>\n",
              "      <td>3.737828</td>\n",
              "      <td>267</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>97</th>\n",
              "      <td>2016-01</td>\n",
              "      <td>1</td>\n",
              "      <td>4.250000</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>2016-02</td>\n",
              "      <td>0</td>\n",
              "      <td>3.775229</td>\n",
              "      <td>218</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>2016-02</td>\n",
              "      <td>1</td>\n",
              "      <td>3.600000</td>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>100</th>\n",
              "      <td>2016-03</td>\n",
              "      <td>0</td>\n",
              "      <td>3.606742</td>\n",
              "      <td>267</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>101</th>\n",
              "      <td>2016-03</td>\n",
              "      <td>1</td>\n",
              "      <td>3.774194</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>102</th>\n",
              "      <td>2016-04</td>\n",
              "      <td>0</td>\n",
              "      <td>3.752988</td>\n",
              "      <td>251</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>103</th>\n",
              "      <td>2016-04</td>\n",
              "      <td>1</td>\n",
              "      <td>3.652174</td>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>104</th>\n",
              "      <td>2016-05</td>\n",
              "      <td>0</td>\n",
              "      <td>3.599222</td>\n",
              "      <td>257</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>105</th>\n",
              "      <td>2016-05</td>\n",
              "      <td>1</td>\n",
              "      <td>3.934783</td>\n",
              "      <td>46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>106</th>\n",
              "      <td>2016-06</td>\n",
              "      <td>0</td>\n",
              "      <td>3.585551</td>\n",
              "      <td>263</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>107</th>\n",
              "      <td>2016-06</td>\n",
              "      <td>1</td>\n",
              "      <td>3.810811</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>108</th>\n",
              "      <td>2016-07</td>\n",
              "      <td>0</td>\n",
              "      <td>3.680162</td>\n",
              "      <td>247</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>109</th>\n",
              "      <td>2016-07</td>\n",
              "      <td>1</td>\n",
              "      <td>3.344828</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>110</th>\n",
              "      <td>2016-08</td>\n",
              "      <td>0</td>\n",
              "      <td>3.597122</td>\n",
              "      <td>278</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>111</th>\n",
              "      <td>2016-08</td>\n",
              "      <td>1</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>112</th>\n",
              "      <td>2016-09</td>\n",
              "      <td>0</td>\n",
              "      <td>3.642308</td>\n",
              "      <td>260</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>113</th>\n",
              "      <td>2016-09</td>\n",
              "      <td>1</td>\n",
              "      <td>3.880952</td>\n",
              "      <td>42</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114</th>\n",
              "      <td>2016-10</td>\n",
              "      <td>0</td>\n",
              "      <td>3.648551</td>\n",
              "      <td>276</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>115</th>\n",
              "      <td>2016-10</td>\n",
              "      <td>1</td>\n",
              "      <td>3.951220</td>\n",
              "      <td>41</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>116</th>\n",
              "      <td>2016-11</td>\n",
              "      <td>0</td>\n",
              "      <td>3.610592</td>\n",
              "      <td>321</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>117</th>\n",
              "      <td>2016-11</td>\n",
              "      <td>1</td>\n",
              "      <td>3.878788</td>\n",
              "      <td>33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>118</th>\n",
              "      <td>2016-12</td>\n",
              "      <td>0</td>\n",
              "      <td>3.581218</td>\n",
              "      <td>394</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>119</th>\n",
              "      <td>2016-12</td>\n",
              "      <td>1</td>\n",
              "      <td>4.043478</td>\n",
              "      <td>46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>120</th>\n",
              "      <td>2017-01</td>\n",
              "      <td>0</td>\n",
              "      <td>3.703647</td>\n",
              "      <td>658</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>121</th>\n",
              "      <td>2017-01</td>\n",
              "      <td>1</td>\n",
              "      <td>3.629032</td>\n",
              "      <td>62</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>122</th>\n",
              "      <td>2017-02</td>\n",
              "      <td>0</td>\n",
              "      <td>3.712941</td>\n",
              "      <td>425</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>123</th>\n",
              "      <td>2017-02</td>\n",
              "      <td>1</td>\n",
              "      <td>3.911111</td>\n",
              "      <td>45</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>124</th>\n",
              "      <td>2017-03</td>\n",
              "      <td>0</td>\n",
              "      <td>3.663774</td>\n",
              "      <td>461</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125</th>\n",
              "      <td>2017-03</td>\n",
              "      <td>1</td>\n",
              "      <td>4.018868</td>\n",
              "      <td>53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>126</th>\n",
              "      <td>2017-04</td>\n",
              "      <td>0</td>\n",
              "      <td>3.556684</td>\n",
              "      <td>591</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127</th>\n",
              "      <td>2017-04</td>\n",
              "      <td>1</td>\n",
              "      <td>3.731343</td>\n",
              "      <td>67</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>128</th>\n",
              "      <td>2017-05</td>\n",
              "      <td>0</td>\n",
              "      <td>3.707113</td>\n",
              "      <td>717</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>129</th>\n",
              "      <td>2017-05</td>\n",
              "      <td>1</td>\n",
              "      <td>3.642857</td>\n",
              "      <td>112</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>130</th>\n",
              "      <td>2017-06</td>\n",
              "      <td>0</td>\n",
              "      <td>3.667139</td>\n",
              "      <td>706</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>131</th>\n",
              "      <td>2017-06</td>\n",
              "      <td>1</td>\n",
              "      <td>3.946809</td>\n",
              "      <td>94</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>132</th>\n",
              "      <td>2017-07</td>\n",
              "      <td>0</td>\n",
              "      <td>3.554745</td>\n",
              "      <td>685</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>133</th>\n",
              "      <td>2017-07</td>\n",
              "      <td>1</td>\n",
              "      <td>3.705128</td>\n",
              "      <td>78</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>134</th>\n",
              "      <td>2017-08</td>\n",
              "      <td>0</td>\n",
              "      <td>3.633941</td>\n",
              "      <td>713</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>135</th>\n",
              "      <td>2017-08</td>\n",
              "      <td>1</td>\n",
              "      <td>3.513158</td>\n",
              "      <td>76</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>136</th>\n",
              "      <td>2017-09</td>\n",
              "      <td>0</td>\n",
              "      <td>3.525483</td>\n",
              "      <td>569</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>137</th>\n",
              "      <td>2017-09</td>\n",
              "      <td>1</td>\n",
              "      <td>3.701299</td>\n",
              "      <td>77</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>138</th>\n",
              "      <td>2017-10</td>\n",
              "      <td>0</td>\n",
              "      <td>3.407080</td>\n",
              "      <td>565</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>139</th>\n",
              "      <td>2017-10</td>\n",
              "      <td>1</td>\n",
              "      <td>3.787500</td>\n",
              "      <td>80</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>140</th>\n",
              "      <td>2017-11</td>\n",
              "      <td>0</td>\n",
              "      <td>3.535849</td>\n",
              "      <td>530</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>141</th>\n",
              "      <td>2017-11</td>\n",
              "      <td>1</td>\n",
              "      <td>3.833333</td>\n",
              "      <td>72</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>142</th>\n",
              "      <td>2017-12</td>\n",
              "      <td>0</td>\n",
              "      <td>3.533563</td>\n",
              "      <td>581</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>143</th>\n",
              "      <td>2017-12</td>\n",
              "      <td>1</td>\n",
              "      <td>3.862069</td>\n",
              "      <td>58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>144</th>\n",
              "      <td>2018-01</td>\n",
              "      <td>0</td>\n",
              "      <td>3.543938</td>\n",
              "      <td>899</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>145</th>\n",
              "      <td>2018-01</td>\n",
              "      <td>1</td>\n",
              "      <td>3.722772</td>\n",
              "      <td>101</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>146</th>\n",
              "      <td>2018-02</td>\n",
              "      <td>0</td>\n",
              "      <td>3.575707</td>\n",
              "      <td>601</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>147</th>\n",
              "      <td>2018-02</td>\n",
              "      <td>1</td>\n",
              "      <td>3.770115</td>\n",
              "      <td>87</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>148</th>\n",
              "      <td>2018-03</td>\n",
              "      <td>0</td>\n",
              "      <td>3.525847</td>\n",
              "      <td>561</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>149</th>\n",
              "      <td>2018-03</td>\n",
              "      <td>1</td>\n",
              "      <td>3.631068</td>\n",
              "      <td>103</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>150</th>\n",
              "      <td>2018-04</td>\n",
              "      <td>0</td>\n",
              "      <td>3.448517</td>\n",
              "      <td>573</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>151</th>\n",
              "      <td>2018-04</td>\n",
              "      <td>1</td>\n",
              "      <td>3.682927</td>\n",
              "      <td>82</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>152</th>\n",
              "      <td>2018-05</td>\n",
              "      <td>0</td>\n",
              "      <td>3.556391</td>\n",
              "      <td>665</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>153</th>\n",
              "      <td>2018-05</td>\n",
              "      <td>1</td>\n",
              "      <td>3.592105</td>\n",
              "      <td>76</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>154</th>\n",
              "      <td>2018-06</td>\n",
              "      <td>0</td>\n",
              "      <td>3.473950</td>\n",
              "      <td>595</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>155</th>\n",
              "      <td>2018-06</td>\n",
              "      <td>1</td>\n",
              "      <td>3.623188</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>156</th>\n",
              "      <td>2018-07</td>\n",
              "      <td>0</td>\n",
              "      <td>3.536232</td>\n",
              "      <td>621</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>157</th>\n",
              "      <td>2018-07</td>\n",
              "      <td>1</td>\n",
              "      <td>3.769231</td>\n",
              "      <td>78</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>158</th>\n",
              "      <td>2018-08</td>\n",
              "      <td>0</td>\n",
              "      <td>3.482173</td>\n",
              "      <td>589</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>159</th>\n",
              "      <td>2018-08</td>\n",
              "      <td>1</td>\n",
              "      <td>3.903846</td>\n",
              "      <td>52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>160</th>\n",
              "      <td>2018-09</td>\n",
              "      <td>0</td>\n",
              "      <td>3.489758</td>\n",
              "      <td>537</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>161</th>\n",
              "      <td>2018-09</td>\n",
              "      <td>1</td>\n",
              "      <td>3.464286</td>\n",
              "      <td>84</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>162</th>\n",
              "      <td>2018-10</td>\n",
              "      <td>0</td>\n",
              "      <td>3.483168</td>\n",
              "      <td>505</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>163</th>\n",
              "      <td>2018-10</td>\n",
              "      <td>1</td>\n",
              "      <td>3.931034</td>\n",
              "      <td>58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>164</th>\n",
              "      <td>2018-11</td>\n",
              "      <td>0</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>446</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>165</th>\n",
              "      <td>2018-11</td>\n",
              "      <td>1</td>\n",
              "      <td>3.714286</td>\n",
              "      <td>56</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>166</th>\n",
              "      <td>2018-12</td>\n",
              "      <td>0</td>\n",
              "      <td>3.534118</td>\n",
              "      <td>425</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>167</th>\n",
              "      <td>2018-12</td>\n",
              "      <td>1</td>\n",
              "      <td>3.517241</td>\n",
              "      <td>58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>168</th>\n",
              "      <td>2019-01</td>\n",
              "      <td>0</td>\n",
              "      <td>3.494382</td>\n",
              "      <td>534</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>169</th>\n",
              "      <td>2019-01</td>\n",
              "      <td>1</td>\n",
              "      <td>3.405405</td>\n",
              "      <td>74</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>170</th>\n",
              "      <td>2019-02</td>\n",
              "      <td>0</td>\n",
              "      <td>3.479592</td>\n",
              "      <td>392</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>171</th>\n",
              "      <td>2019-02</td>\n",
              "      <td>1</td>\n",
              "      <td>3.893617</td>\n",
              "      <td>47</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>172</th>\n",
              "      <td>2019-03</td>\n",
              "      <td>0</td>\n",
              "      <td>3.453333</td>\n",
              "      <td>525</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>173</th>\n",
              "      <td>2019-03</td>\n",
              "      <td>1</td>\n",
              "      <td>3.285714</td>\n",
              "      <td>63</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>174</th>\n",
              "      <td>2019-04</td>\n",
              "      <td>0</td>\n",
              "      <td>3.365751</td>\n",
              "      <td>473</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>175</th>\n",
              "      <td>2019-04</td>\n",
              "      <td>1</td>\n",
              "      <td>3.431034</td>\n",
              "      <td>58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>176</th>\n",
              "      <td>2019-05</td>\n",
              "      <td>0</td>\n",
              "      <td>3.274090</td>\n",
              "      <td>467</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>177</th>\n",
              "      <td>2019-05</td>\n",
              "      <td>1</td>\n",
              "      <td>3.619048</td>\n",
              "      <td>63</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>178</th>\n",
              "      <td>2019-06</td>\n",
              "      <td>0</td>\n",
              "      <td>3.342912</td>\n",
              "      <td>522</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>179</th>\n",
              "      <td>2019-06</td>\n",
              "      <td>1</td>\n",
              "      <td>3.740000</td>\n",
              "      <td>50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>180</th>\n",
              "      <td>2019-07</td>\n",
              "      <td>0</td>\n",
              "      <td>3.300664</td>\n",
              "      <td>602</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>181</th>\n",
              "      <td>2019-07</td>\n",
              "      <td>1</td>\n",
              "      <td>3.246377</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>182</th>\n",
              "      <td>2019-08</td>\n",
              "      <td>0</td>\n",
              "      <td>3.306818</td>\n",
              "      <td>616</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>183</th>\n",
              "      <td>2019-08</td>\n",
              "      <td>1</td>\n",
              "      <td>3.701149</td>\n",
              "      <td>87</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>184</th>\n",
              "      <td>2019-09</td>\n",
              "      <td>0</td>\n",
              "      <td>3.516393</td>\n",
              "      <td>610</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>185</th>\n",
              "      <td>2019-09</td>\n",
              "      <td>1</td>\n",
              "      <td>3.650602</td>\n",
              "      <td>83</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>186</th>\n",
              "      <td>2019-10</td>\n",
              "      <td>0</td>\n",
              "      <td>3.311475</td>\n",
              "      <td>549</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>187</th>\n",
              "      <td>2019-10</td>\n",
              "      <td>1</td>\n",
              "      <td>3.617284</td>\n",
              "      <td>81</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>188</th>\n",
              "      <td>2019-11</td>\n",
              "      <td>0</td>\n",
              "      <td>3.467327</td>\n",
              "      <td>505</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>189</th>\n",
              "      <td>2019-11</td>\n",
              "      <td>1</td>\n",
              "      <td>3.695652</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>190</th>\n",
              "      <td>2019-12</td>\n",
              "      <td>0</td>\n",
              "      <td>3.543046</td>\n",
              "      <td>604</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>191</th>\n",
              "      <td>2019-12</td>\n",
              "      <td>1</td>\n",
              "      <td>3.689189</td>\n",
              "      <td>74</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>192</th>\n",
              "      <td>2020-01</td>\n",
              "      <td>0</td>\n",
              "      <td>3.546392</td>\n",
              "      <td>776</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>193</th>\n",
              "      <td>2020-01</td>\n",
              "      <td>1</td>\n",
              "      <td>3.879121</td>\n",
              "      <td>91</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>194</th>\n",
              "      <td>2020-02</td>\n",
              "      <td>0</td>\n",
              "      <td>3.497569</td>\n",
              "      <td>617</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>195</th>\n",
              "      <td>2020-02</td>\n",
              "      <td>1</td>\n",
              "      <td>3.413333</td>\n",
              "      <td>75</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>196</th>\n",
              "      <td>2020-03</td>\n",
              "      <td>0</td>\n",
              "      <td>3.491597</td>\n",
              "      <td>476</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>197</th>\n",
              "      <td>2020-03</td>\n",
              "      <td>1</td>\n",
              "      <td>3.942308</td>\n",
              "      <td>52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>198</th>\n",
              "      <td>2020-04</td>\n",
              "      <td>0</td>\n",
              "      <td>3.576000</td>\n",
              "      <td>250</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>199</th>\n",
              "      <td>2020-04</td>\n",
              "      <td>1</td>\n",
              "      <td>4.323529</td>\n",
              "      <td>34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>200</th>\n",
              "      <td>2020-05</td>\n",
              "      <td>0</td>\n",
              "      <td>3.639594</td>\n",
              "      <td>197</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>201</th>\n",
              "      <td>2020-05</td>\n",
              "      <td>1</td>\n",
              "      <td>4.162791</td>\n",
              "      <td>43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>202</th>\n",
              "      <td>2020-06</td>\n",
              "      <td>0</td>\n",
              "      <td>3.386364</td>\n",
              "      <td>220</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>203</th>\n",
              "      <td>2020-06</td>\n",
              "      <td>1</td>\n",
              "      <td>3.370370</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>204</th>\n",
              "      <td>2020-07</td>\n",
              "      <td>0</td>\n",
              "      <td>3.250000</td>\n",
              "      <td>224</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>205</th>\n",
              "      <td>2020-07</td>\n",
              "      <td>1</td>\n",
              "      <td>3.777778</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>206</th>\n",
              "      <td>2020-08</td>\n",
              "      <td>0</td>\n",
              "      <td>3.171171</td>\n",
              "      <td>222</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>207</th>\n",
              "      <td>2020-08</td>\n",
              "      <td>1</td>\n",
              "      <td>3.692308</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>208</th>\n",
              "      <td>2020-09</td>\n",
              "      <td>0</td>\n",
              "      <td>3.040000</td>\n",
              "      <td>225</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>209</th>\n",
              "      <td>2020-09</td>\n",
              "      <td>1</td>\n",
              "      <td>2.958333</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>210</th>\n",
              "      <td>2020-10</td>\n",
              "      <td>0</td>\n",
              "      <td>3.057269</td>\n",
              "      <td>227</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>211</th>\n",
              "      <td>2020-10</td>\n",
              "      <td>1</td>\n",
              "      <td>3.473684</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>212</th>\n",
              "      <td>2020-11</td>\n",
              "      <td>0</td>\n",
              "      <td>3.011765</td>\n",
              "      <td>170</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>213</th>\n",
              "      <td>2020-11</td>\n",
              "      <td>1</td>\n",
              "      <td>2.550000</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>214</th>\n",
              "      <td>2020-12</td>\n",
              "      <td>0</td>\n",
              "      <td>3.084416</td>\n",
              "      <td>154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>215</th>\n",
              "      <td>2020-12</td>\n",
              "      <td>1</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>216</th>\n",
              "      <td>2021-01</td>\n",
              "      <td>0</td>\n",
              "      <td>3.060606</td>\n",
              "      <td>198</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>217</th>\n",
              "      <td>2021-01</td>\n",
              "      <td>1</td>\n",
              "      <td>2.692308</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>218</th>\n",
              "      <td>2021-02</td>\n",
              "      <td>0</td>\n",
              "      <td>2.856250</td>\n",
              "      <td>160</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>219</th>\n",
              "      <td>2021-02</td>\n",
              "      <td>1</td>\n",
              "      <td>3.173913</td>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>220</th>\n",
              "      <td>2021-03</td>\n",
              "      <td>0</td>\n",
              "      <td>3.030612</td>\n",
              "      <td>196</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>221</th>\n",
              "      <td>2021-03</td>\n",
              "      <td>1</td>\n",
              "      <td>3.541667</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>222</th>\n",
              "      <td>2021-04</td>\n",
              "      <td>0</td>\n",
              "      <td>3.217172</td>\n",
              "      <td>198</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>223</th>\n",
              "      <td>2021-04</td>\n",
              "      <td>1</td>\n",
              "      <td>3.277778</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>224</th>\n",
              "      <td>2021-05</td>\n",
              "      <td>0</td>\n",
              "      <td>3.013158</td>\n",
              "      <td>76</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>225</th>\n",
              "      <td>2021-05</td>\n",
              "      <td>1</td>\n",
              "      <td>3.687500</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    month_year  treat_loc      mean  count\n",
              "0      2012-01          0  3.357143     14\n",
              "1      2012-01          1  4.500000      2\n",
              "2      2012-02          0  4.210526     19\n",
              "3      2012-02          1  4.000000      2\n",
              "4      2012-03          0  3.713115    122\n",
              "5      2012-03          1  4.350000     20\n",
              "6      2012-04          0  3.820690    145\n",
              "7      2012-04          1  3.750000     20\n",
              "8      2012-05          0  3.694118    170\n",
              "9      2012-05          1  3.571429     28\n",
              "10     2012-06          0  3.638889    180\n",
              "11     2012-06          1  3.805556     36\n",
              "12     2012-07          0  3.633065    248\n",
              "13     2012-07          1  4.045455     22\n",
              "14     2012-08          0  3.745098    204\n",
              "15     2012-08          1  3.620690     29\n",
              "16     2012-09          0  3.605882    170\n",
              "17     2012-09          1  3.750000     20\n",
              "18     2012-10          0  3.700000    170\n",
              "19     2012-10          1  3.680000     25\n",
              "20     2012-11          0  3.573770    122\n",
              "21     2012-11          1  4.000000     22\n",
              "22     2012-12          0  3.807229    166\n",
              "23     2012-12          1  3.434783     23\n",
              "24     2013-01          0  3.763713    237\n",
              "25     2013-01          1  4.058824     17\n",
              "26     2013-02          0  3.545946    185\n",
              "27     2013-02          1  3.800000     30\n",
              "28     2013-03          0  3.737968    187\n",
              "29     2013-03          1  3.966667     30\n",
              "30     2013-04          0  3.620853    211\n",
              "31     2013-04          1  3.742857     35\n",
              "32     2013-05          0  3.587379    206\n",
              "33     2013-05          1  3.925926     27\n",
              "34     2013-06          0  3.620833    240\n",
              "35     2013-06          1  3.952381     42\n",
              "36     2013-07          0  3.578544    261\n",
              "37     2013-07          1  4.027778     36\n",
              "38     2013-08          0  3.661818    275\n",
              "39     2013-08          1  3.727273     22\n",
              "40     2013-09          0  3.648069    233\n",
              "41     2013-09          1  3.708333     24\n",
              "42     2013-10          0  3.771536    267\n",
              "43     2013-10          1  3.931034     29\n",
              "44     2013-11          0  3.650655    229\n",
              "45     2013-11          1  3.827586     29\n",
              "46     2013-12          0  3.616162    198\n",
              "47     2013-12          1  3.562500     32\n",
              "48     2014-01          0  3.643087    311\n",
              "49     2014-01          1  3.972222     36\n",
              "50     2014-02          0  3.635071    211\n",
              "51     2014-02          1  3.937500     32\n",
              "52     2014-03          0  3.749064    267\n",
              "53     2014-03          1  3.861111     36\n",
              "54     2014-04          0  3.702830    212\n",
              "55     2014-04          1  3.806452     31\n",
              "56     2014-05          0  3.692982    228\n",
              "57     2014-05          1  3.700000     30\n",
              "58     2014-06          0  3.633333    210\n",
              "59     2014-06          1  3.962963     27\n",
              "60     2014-07          0  3.765690    239\n",
              "61     2014-07          1  3.400000     20\n",
              "62     2014-08          0  3.554113    231\n",
              "63     2014-08          1  3.434783     23\n",
              "64     2014-09          0  3.717073    205\n",
              "65     2014-09          1  4.000000     25\n",
              "66     2014-10          0  3.896154    260\n",
              "67     2014-10          1  3.871795     39\n",
              "68     2014-11          0  3.687831    189\n",
              "69     2014-11          1  4.111111     27\n",
              "70     2014-12          0  3.611111    198\n",
              "71     2014-12          1  3.285714     28\n",
              "72     2015-01          0  3.675676    333\n",
              "73     2015-01          1  3.833333     42\n",
              "74     2015-02          0  3.759494    237\n",
              "75     2015-02          1  4.551724     29\n",
              "76     2015-03          0  3.790441    272\n",
              "77     2015-03          1  4.066667     30\n",
              "78     2015-04          0  3.716667    240\n",
              "79     2015-04          1  3.750000     36\n",
              "80     2015-05          0  3.684647    241\n",
              "81     2015-05          1  3.756757     37\n",
              "82     2015-06          0  3.633700    273\n",
              "83     2015-06          1  3.864865     37\n",
              "84     2015-07          0  3.529617    287\n",
              "85     2015-07          1  3.437500     32\n",
              "86     2015-08          0  3.753788    264\n",
              "87     2015-08          1  3.925926     27\n",
              "88     2015-09          0  3.674242    264\n",
              "89     2015-09          1  3.888889     27\n",
              "90     2015-10          0  3.607018    285\n",
              "91     2015-10          1  3.794872     39\n",
              "92     2015-11          0  3.762712    236\n",
              "93     2015-11          1  3.843750     32\n",
              "94     2015-12          0  3.691589    214\n",
              "95     2015-12          1  3.933333     30\n",
              "96     2016-01          0  3.737828    267\n",
              "97     2016-01          1  4.250000     32\n",
              "98     2016-02          0  3.775229    218\n",
              "99     2016-02          1  3.600000     35\n",
              "100    2016-03          0  3.606742    267\n",
              "101    2016-03          1  3.774194     31\n",
              "102    2016-04          0  3.752988    251\n",
              "103    2016-04          1  3.652174     23\n",
              "104    2016-05          0  3.599222    257\n",
              "105    2016-05          1  3.934783     46\n",
              "106    2016-06          0  3.585551    263\n",
              "107    2016-06          1  3.810811     37\n",
              "108    2016-07          0  3.680162    247\n",
              "109    2016-07          1  3.344828     29\n",
              "110    2016-08          0  3.597122    278\n",
              "111    2016-08          1  3.666667     27\n",
              "112    2016-09          0  3.642308    260\n",
              "113    2016-09          1  3.880952     42\n",
              "114    2016-10          0  3.648551    276\n",
              "115    2016-10          1  3.951220     41\n",
              "116    2016-11          0  3.610592    321\n",
              "117    2016-11          1  3.878788     33\n",
              "118    2016-12          0  3.581218    394\n",
              "119    2016-12          1  4.043478     46\n",
              "120    2017-01          0  3.703647    658\n",
              "121    2017-01          1  3.629032     62\n",
              "122    2017-02          0  3.712941    425\n",
              "123    2017-02          1  3.911111     45\n",
              "124    2017-03          0  3.663774    461\n",
              "125    2017-03          1  4.018868     53\n",
              "126    2017-04          0  3.556684    591\n",
              "127    2017-04          1  3.731343     67\n",
              "128    2017-05          0  3.707113    717\n",
              "129    2017-05          1  3.642857    112\n",
              "130    2017-06          0  3.667139    706\n",
              "131    2017-06          1  3.946809     94\n",
              "132    2017-07          0  3.554745    685\n",
              "133    2017-07          1  3.705128     78\n",
              "134    2017-08          0  3.633941    713\n",
              "135    2017-08          1  3.513158     76\n",
              "136    2017-09          0  3.525483    569\n",
              "137    2017-09          1  3.701299     77\n",
              "138    2017-10          0  3.407080    565\n",
              "139    2017-10          1  3.787500     80\n",
              "140    2017-11          0  3.535849    530\n",
              "141    2017-11          1  3.833333     72\n",
              "142    2017-12          0  3.533563    581\n",
              "143    2017-12          1  3.862069     58\n",
              "144    2018-01          0  3.543938    899\n",
              "145    2018-01          1  3.722772    101\n",
              "146    2018-02          0  3.575707    601\n",
              "147    2018-02          1  3.770115     87\n",
              "148    2018-03          0  3.525847    561\n",
              "149    2018-03          1  3.631068    103\n",
              "150    2018-04          0  3.448517    573\n",
              "151    2018-04          1  3.682927     82\n",
              "152    2018-05          0  3.556391    665\n",
              "153    2018-05          1  3.592105     76\n",
              "154    2018-06          0  3.473950    595\n",
              "155    2018-06          1  3.623188     69\n",
              "156    2018-07          0  3.536232    621\n",
              "157    2018-07          1  3.769231     78\n",
              "158    2018-08          0  3.482173    589\n",
              "159    2018-08          1  3.903846     52\n",
              "160    2018-09          0  3.489758    537\n",
              "161    2018-09          1  3.464286     84\n",
              "162    2018-10          0  3.483168    505\n",
              "163    2018-10          1  3.931034     58\n",
              "164    2018-11          0  3.500000    446\n",
              "165    2018-11          1  3.714286     56\n",
              "166    2018-12          0  3.534118    425\n",
              "167    2018-12          1  3.517241     58\n",
              "168    2019-01          0  3.494382    534\n",
              "169    2019-01          1  3.405405     74\n",
              "170    2019-02          0  3.479592    392\n",
              "171    2019-02          1  3.893617     47\n",
              "172    2019-03          0  3.453333    525\n",
              "173    2019-03          1  3.285714     63\n",
              "174    2019-04          0  3.365751    473\n",
              "175    2019-04          1  3.431034     58\n",
              "176    2019-05          0  3.274090    467\n",
              "177    2019-05          1  3.619048     63\n",
              "178    2019-06          0  3.342912    522\n",
              "179    2019-06          1  3.740000     50\n",
              "180    2019-07          0  3.300664    602\n",
              "181    2019-07          1  3.246377     69\n",
              "182    2019-08          0  3.306818    616\n",
              "183    2019-08          1  3.701149     87\n",
              "184    2019-09          0  3.516393    610\n",
              "185    2019-09          1  3.650602     83\n",
              "186    2019-10          0  3.311475    549\n",
              "187    2019-10          1  3.617284     81\n",
              "188    2019-11          0  3.467327    505\n",
              "189    2019-11          1  3.695652     69\n",
              "190    2019-12          0  3.543046    604\n",
              "191    2019-12          1  3.689189     74\n",
              "192    2020-01          0  3.546392    776\n",
              "193    2020-01          1  3.879121     91\n",
              "194    2020-02          0  3.497569    617\n",
              "195    2020-02          1  3.413333     75\n",
              "196    2020-03          0  3.491597    476\n",
              "197    2020-03          1  3.942308     52\n",
              "198    2020-04          0  3.576000    250\n",
              "199    2020-04          1  4.323529     34\n",
              "200    2020-05          0  3.639594    197\n",
              "201    2020-05          1  4.162791     43\n",
              "202    2020-06          0  3.386364    220\n",
              "203    2020-06          1  3.370370     27\n",
              "204    2020-07          0  3.250000    224\n",
              "205    2020-07          1  3.777778     27\n",
              "206    2020-08          0  3.171171    222\n",
              "207    2020-08          1  3.692308     26\n",
              "208    2020-09          0  3.040000    225\n",
              "209    2020-09          1  2.958333     24\n",
              "210    2020-10          0  3.057269    227\n",
              "211    2020-10          1  3.473684     19\n",
              "212    2020-11          0  3.011765    170\n",
              "213    2020-11          1  2.550000     20\n",
              "214    2020-12          0  3.084416    154\n",
              "215    2020-12          1  3.500000     20\n",
              "216    2021-01          0  3.060606    198\n",
              "217    2021-01          1  2.692308     26\n",
              "218    2021-02          0  2.856250    160\n",
              "219    2021-02          1  3.173913     23\n",
              "220    2021-03          0  3.030612    196\n",
              "221    2021-03          1  3.541667     24\n",
              "222    2021-04          0  3.217172    198\n",
              "223    2021-04          1  3.277778     18\n",
              "224    2021-05          0  3.013158     76\n",
              "225    2021-05          1  3.687500     16"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        },
        "id": "detailed-russell",
        "outputId": "adb37772-7b17-42b8-b787-db7e957b1736"
      },
      "source": [
        "figure(figsize=(12, 8), dpi=80)\n",
        "sns.lineplot(data=comp, x='month_year', y='mean', hue = 'treat_loc', linewidth=2, style = 'treat_loc')\n",
        "plt.title(\"Overall Job Satisfaction\", fontsize=20)\n",
        "plt.xlabel('Time', fontsize=20)\n",
        "plt.ylabel('Average Rating', fontsize=20)\n",
        "#ticks, labels = plt.xticks()\n",
        "\n",
        "plt.xticks(ticks=[0,12, 24, 36, 48, 60, 72, 84, 96, 108, 120], labels=[ '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020', '2021'])\n",
        "plt.legend(['Not Cook County', 'Chicago & Cook County'])\n",
        "plt.axvline(x=80, color = 'black')"
      ],
      "id": "detailed-russell",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.lines.Line2D at 0x7f19d3387610>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 960x640 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "lesser-forum",
        "outputId": "fd7816bd-dd80-413d-a642-872da63ff093"
      },
      "source": [
        "f = df[df.company_name.isin(['Amazon.com', 'Walmart', 'McDonalds', 'Starbucks'])]\n",
        "domp = f.groupby(['month_year', 'company_name']).agg({'overall_rating':['mean', 'count']})\n",
        "domp.columns = ['mean', 'count']\n",
        "domp.reset_index(inplace=True)\n",
        "domp"
      ],
      "id": "lesser-forum",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>month_year</th>\n",
              "      <th>company_name</th>\n",
              "      <th>mean</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2012-01</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.333333</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2012-03</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>4.200000</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2012-03</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.111111</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2012-04</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2012-04</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2012-05</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.647059</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>2012-05</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.272727</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>2012-06</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.272727</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>2012-06</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>2012-06</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.642857</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>2012-07</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>2012-07</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>2012-07</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.388889</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>2012-08</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.555556</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>2012-08</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.857143</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>2012-08</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.764706</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>2012-09</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>2012-09</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.500000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>2012-09</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>4.125000</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>2012-10</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>4.083333</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>2012-10</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>2012-10</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.473684</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>2012-11</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>2.428571</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>2012-11</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>2012-11</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.600000</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>2012-12</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.636364</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>2012-12</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>2012-12</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.687500</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>2013-01</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.375000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>2013-01</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>2013-01</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.750000</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>2013-02</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>2013-02</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.333333</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>2013-03</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.437500</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>2013-03</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.315789</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>2013-04</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.692308</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>2013-04</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.600000</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>2013-04</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.461538</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>2013-05</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.550000</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>2013-05</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.500000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>2013-05</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>4.100000</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>2013-06</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.750000</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>2013-06</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.500000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>2013-06</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.125000</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>2013-07</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.789474</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>2013-07</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>2013-07</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.214286</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>2013-08</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.333333</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>2013-08</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.392857</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>2013-09</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.428571</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>2013-09</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.666667</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51</th>\n",
              "      <td>2013-09</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.875000</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>2013-10</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.625000</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>2013-10</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>54</th>\n",
              "      <td>2013-10</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.466667</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>55</th>\n",
              "      <td>2013-11</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.368421</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>2013-11</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>2013-11</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.588235</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>2013-12</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.222222</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>2013-12</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.250000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>60</th>\n",
              "      <td>2013-12</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.333333</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>61</th>\n",
              "      <td>2014-01</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.437500</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62</th>\n",
              "      <td>2014-01</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.400000</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>63</th>\n",
              "      <td>2014-01</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.611111</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>64</th>\n",
              "      <td>2014-02</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.333333</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>65</th>\n",
              "      <td>2014-02</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>66</th>\n",
              "      <td>2014-02</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.333333</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>67</th>\n",
              "      <td>2014-03</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.411765</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68</th>\n",
              "      <td>2014-03</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>69</th>\n",
              "      <td>2014-03</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.705882</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>70</th>\n",
              "      <td>2014-04</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71</th>\n",
              "      <td>2014-04</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>2014-04</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.692308</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>73</th>\n",
              "      <td>2014-05</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>74</th>\n",
              "      <td>2014-05</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75</th>\n",
              "      <td>2014-05</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>4.111111</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>2014-06</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.411765</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>2014-06</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>2014-06</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>2014-07</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.533333</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>2014-07</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>81</th>\n",
              "      <td>2014-07</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>4.166667</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>2014-08</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>2.692308</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>2014-08</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>2.851852</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>2014-09</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.800000</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85</th>\n",
              "      <td>2014-09</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>86</th>\n",
              "      <td>2014-09</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.142857</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>87</th>\n",
              "      <td>2014-10</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>88</th>\n",
              "      <td>2014-10</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.722222</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>89</th>\n",
              "      <td>2014-10</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.750000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90</th>\n",
              "      <td>2014-10</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>4.166667</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>91</th>\n",
              "      <td>2014-11</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.555556</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>92</th>\n",
              "      <td>2014-11</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>2014-11</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.636364</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>94</th>\n",
              "      <td>2014-12</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.285714</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>95</th>\n",
              "      <td>2014-12</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.350000</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>2015-01</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.571429</td>\n",
              "      <td>21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>97</th>\n",
              "      <td>2015-01</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>2015-01</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.230769</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>2015-02</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>100</th>\n",
              "      <td>2015-02</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.272727</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>101</th>\n",
              "      <td>2015-02</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>102</th>\n",
              "      <td>2015-02</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.105263</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>103</th>\n",
              "      <td>2015-03</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>104</th>\n",
              "      <td>2015-03</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.583333</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>105</th>\n",
              "      <td>2015-03</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.750000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>106</th>\n",
              "      <td>2015-03</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>107</th>\n",
              "      <td>2015-04</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>108</th>\n",
              "      <td>2015-04</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.285714</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>109</th>\n",
              "      <td>2015-04</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>110</th>\n",
              "      <td>2015-04</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.823529</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>111</th>\n",
              "      <td>2015-05</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>4.500000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>112</th>\n",
              "      <td>2015-05</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.625000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>113</th>\n",
              "      <td>2015-05</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114</th>\n",
              "      <td>2015-05</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.187500</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>115</th>\n",
              "      <td>2015-06</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>116</th>\n",
              "      <td>2015-06</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>2.904762</td>\n",
              "      <td>21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>117</th>\n",
              "      <td>2015-06</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.250000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>118</th>\n",
              "      <td>2015-06</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.466667</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>119</th>\n",
              "      <td>2015-07</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>120</th>\n",
              "      <td>2015-07</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.411765</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>121</th>\n",
              "      <td>2015-07</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>122</th>\n",
              "      <td>2015-07</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.105263</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>123</th>\n",
              "      <td>2015-08</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>4.750000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>124</th>\n",
              "      <td>2015-08</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>125</th>\n",
              "      <td>2015-08</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>126</th>\n",
              "      <td>2015-08</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.409091</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>127</th>\n",
              "      <td>2015-09</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.200000</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>128</th>\n",
              "      <td>2015-09</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>4.090909</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>129</th>\n",
              "      <td>2015-09</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>130</th>\n",
              "      <td>2015-09</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.312500</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>131</th>\n",
              "      <td>2015-10</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.166667</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>132</th>\n",
              "      <td>2015-10</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>133</th>\n",
              "      <td>2015-10</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.541667</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>134</th>\n",
              "      <td>2015-11</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>135</th>\n",
              "      <td>2015-11</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.461538</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>136</th>\n",
              "      <td>2015-11</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>137</th>\n",
              "      <td>2015-11</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.818182</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>138</th>\n",
              "      <td>2015-12</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.800000</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>139</th>\n",
              "      <td>2015-12</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>140</th>\n",
              "      <td>2015-12</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>141</th>\n",
              "      <td>2015-12</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.700000</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>142</th>\n",
              "      <td>2016-01</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.333333</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>143</th>\n",
              "      <td>2016-01</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>144</th>\n",
              "      <td>2016-01</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.333333</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>145</th>\n",
              "      <td>2016-01</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.444444</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>146</th>\n",
              "      <td>2016-02</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>147</th>\n",
              "      <td>2016-02</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.300000</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>148</th>\n",
              "      <td>2016-02</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.750000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>149</th>\n",
              "      <td>2016-02</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.928571</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>150</th>\n",
              "      <td>2016-03</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.785714</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>151</th>\n",
              "      <td>2016-03</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.272727</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>152</th>\n",
              "      <td>2016-03</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>153</th>\n",
              "      <td>2016-03</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.411765</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>154</th>\n",
              "      <td>2016-04</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>4.250000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>155</th>\n",
              "      <td>2016-04</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>156</th>\n",
              "      <td>2016-04</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>157</th>\n",
              "      <td>2016-04</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.473684</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>158</th>\n",
              "      <td>2016-05</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>159</th>\n",
              "      <td>2016-05</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.384615</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>160</th>\n",
              "      <td>2016-05</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>161</th>\n",
              "      <td>2016-05</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>162</th>\n",
              "      <td>2016-06</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.714286</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>163</th>\n",
              "      <td>2016-06</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.058824</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>164</th>\n",
              "      <td>2016-06</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.333333</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>165</th>\n",
              "      <td>2016-06</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.333333</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>166</th>\n",
              "      <td>2016-07</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.375000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>167</th>\n",
              "      <td>2016-07</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.692308</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>168</th>\n",
              "      <td>2016-07</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.500000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>169</th>\n",
              "      <td>2016-07</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.750000</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>170</th>\n",
              "      <td>2016-08</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.625000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>171</th>\n",
              "      <td>2016-08</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.461538</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>172</th>\n",
              "      <td>2016-08</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.333333</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>173</th>\n",
              "      <td>2016-08</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.384615</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>174</th>\n",
              "      <td>2016-09</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.846154</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>175</th>\n",
              "      <td>2016-09</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.523810</td>\n",
              "      <td>21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>176</th>\n",
              "      <td>2016-09</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.666667</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>177</th>\n",
              "      <td>2016-09</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.714286</td>\n",
              "      <td>21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>178</th>\n",
              "      <td>2016-10</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>4.300000</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>179</th>\n",
              "      <td>2016-10</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.291667</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>180</th>\n",
              "      <td>2016-10</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.800000</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>181</th>\n",
              "      <td>2016-10</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>182</th>\n",
              "      <td>2016-11</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>183</th>\n",
              "      <td>2016-11</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.450000</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>184</th>\n",
              "      <td>2016-11</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>185</th>\n",
              "      <td>2016-11</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.461538</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>186</th>\n",
              "      <td>2016-12</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.470588</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>187</th>\n",
              "      <td>2016-12</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.772727</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>188</th>\n",
              "      <td>2016-12</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.800000</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>189</th>\n",
              "      <td>2016-12</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.379310</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>190</th>\n",
              "      <td>2017-01</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.366667</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>191</th>\n",
              "      <td>2017-01</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.729730</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>192</th>\n",
              "      <td>2017-01</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.750000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>193</th>\n",
              "      <td>2017-01</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.603774</td>\n",
              "      <td>53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>194</th>\n",
              "      <td>2017-02</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.375000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>195</th>\n",
              "      <td>2017-02</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.333333</td>\n",
              "      <td>21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>196</th>\n",
              "      <td>2017-02</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.800000</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>197</th>\n",
              "      <td>2017-02</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.310345</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>198</th>\n",
              "      <td>2017-03</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.266667</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>199</th>\n",
              "      <td>2017-03</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.310345</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>200</th>\n",
              "      <td>2017-03</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>201</th>\n",
              "      <td>2017-03</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.950000</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>202</th>\n",
              "      <td>2017-04</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.750000</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>203</th>\n",
              "      <td>2017-04</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.312500</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>204</th>\n",
              "      <td>2017-04</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>205</th>\n",
              "      <td>2017-04</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.193548</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>206</th>\n",
              "      <td>2017-05</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.760000</td>\n",
              "      <td>25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>207</th>\n",
              "      <td>2017-05</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.600000</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>208</th>\n",
              "      <td>2017-05</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.333333</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>209</th>\n",
              "      <td>2017-05</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.720000</td>\n",
              "      <td>50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>210</th>\n",
              "      <td>2017-06</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.760000</td>\n",
              "      <td>25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>211</th>\n",
              "      <td>2017-06</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.027778</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>212</th>\n",
              "      <td>2017-06</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.363636</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>213</th>\n",
              "      <td>2017-06</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.423077</td>\n",
              "      <td>52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>214</th>\n",
              "      <td>2017-07</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.343750</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>215</th>\n",
              "      <td>2017-07</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.527778</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>216</th>\n",
              "      <td>2017-07</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.727273</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>217</th>\n",
              "      <td>2017-07</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.183673</td>\n",
              "      <td>49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>218</th>\n",
              "      <td>2017-08</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.555556</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>219</th>\n",
              "      <td>2017-08</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.371429</td>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>220</th>\n",
              "      <td>2017-08</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>221</th>\n",
              "      <td>2017-08</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.512821</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>222</th>\n",
              "      <td>2017-09</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.785714</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>223</th>\n",
              "      <td>2017-09</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.304348</td>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>224</th>\n",
              "      <td>2017-09</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.600000</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>225</th>\n",
              "      <td>2017-09</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.484848</td>\n",
              "      <td>33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>226</th>\n",
              "      <td>2017-10</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>2.583333</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>227</th>\n",
              "      <td>2017-10</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>228</th>\n",
              "      <td>2017-10</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.083333</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>229</th>\n",
              "      <td>2017-10</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.384615</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>230</th>\n",
              "      <td>2017-11</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.785714</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>231</th>\n",
              "      <td>2017-11</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>232</th>\n",
              "      <td>2017-11</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.250000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>233</th>\n",
              "      <td>2017-11</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.171429</td>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>234</th>\n",
              "      <td>2017-12</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.586207</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>235</th>\n",
              "      <td>2017-12</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.111111</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>236</th>\n",
              "      <td>2017-12</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>237</th>\n",
              "      <td>2017-12</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.611111</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>238</th>\n",
              "      <td>2018-01</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.250000</td>\n",
              "      <td>44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>239</th>\n",
              "      <td>2018-01</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.490909</td>\n",
              "      <td>55</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>240</th>\n",
              "      <td>2018-01</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.055556</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>241</th>\n",
              "      <td>2018-01</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.368421</td>\n",
              "      <td>57</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>242</th>\n",
              "      <td>2018-02</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.250000</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>243</th>\n",
              "      <td>2018-02</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.206897</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>244</th>\n",
              "      <td>2018-02</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>245</th>\n",
              "      <td>2018-02</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.562500</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>246</th>\n",
              "      <td>2018-03</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.615385</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>247</th>\n",
              "      <td>2018-03</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.485714</td>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>248</th>\n",
              "      <td>2018-03</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.461538</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>249</th>\n",
              "      <td>2018-03</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.486486</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>250</th>\n",
              "      <td>2018-04</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.565217</td>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>251</th>\n",
              "      <td>2018-04</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.434783</td>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>252</th>\n",
              "      <td>2018-04</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.166667</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>253</th>\n",
              "      <td>2018-04</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.238095</td>\n",
              "      <td>42</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>254</th>\n",
              "      <td>2018-05</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.615385</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>255</th>\n",
              "      <td>2018-05</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.387097</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>256</th>\n",
              "      <td>2018-05</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.714286</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>257</th>\n",
              "      <td>2018-05</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.578947</td>\n",
              "      <td>38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>258</th>\n",
              "      <td>2018-06</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.322581</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>259</th>\n",
              "      <td>2018-06</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.636364</td>\n",
              "      <td>44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>260</th>\n",
              "      <td>2018-06</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.600000</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>261</th>\n",
              "      <td>2018-06</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.319149</td>\n",
              "      <td>47</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>262</th>\n",
              "      <td>2018-07</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.594595</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>263</th>\n",
              "      <td>2018-07</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.363636</td>\n",
              "      <td>33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>264</th>\n",
              "      <td>2018-07</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.266667</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>265</th>\n",
              "      <td>2018-07</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.319149</td>\n",
              "      <td>47</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>266</th>\n",
              "      <td>2018-08</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.647059</td>\n",
              "      <td>34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>267</th>\n",
              "      <td>2018-08</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.522727</td>\n",
              "      <td>44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>268</th>\n",
              "      <td>2018-08</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>269</th>\n",
              "      <td>2018-08</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.410256</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>270</th>\n",
              "      <td>2018-09</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.350000</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>271</th>\n",
              "      <td>2018-09</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.387097</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>272</th>\n",
              "      <td>2018-09</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>273</th>\n",
              "      <td>2018-09</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.437500</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>274</th>\n",
              "      <td>2018-10</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.611111</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>275</th>\n",
              "      <td>2018-10</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.809524</td>\n",
              "      <td>21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>276</th>\n",
              "      <td>2018-10</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.125000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>277</th>\n",
              "      <td>2018-10</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.021739</td>\n",
              "      <td>46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>278</th>\n",
              "      <td>2018-11</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.625000</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>279</th>\n",
              "      <td>2018-11</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.850000</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>280</th>\n",
              "      <td>2018-11</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.500000</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>281</th>\n",
              "      <td>2018-11</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.896552</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>282</th>\n",
              "      <td>2018-12</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.437500</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>283</th>\n",
              "      <td>2018-12</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.161290</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>284</th>\n",
              "      <td>2018-12</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.600000</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>285</th>\n",
              "      <td>2018-12</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.230769</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>286</th>\n",
              "      <td>2019-01</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.576923</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>287</th>\n",
              "      <td>2019-01</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.103448</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>288</th>\n",
              "      <td>2019-01</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.538462</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>289</th>\n",
              "      <td>2019-01</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.628571</td>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>290</th>\n",
              "      <td>2019-02</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.434783</td>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>291</th>\n",
              "      <td>2019-02</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.120000</td>\n",
              "      <td>25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>292</th>\n",
              "      <td>2019-02</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>293</th>\n",
              "      <td>2019-02</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.185185</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>294</th>\n",
              "      <td>2019-03</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.400000</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>295</th>\n",
              "      <td>2019-03</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.357143</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>296</th>\n",
              "      <td>2019-03</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.500000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>297</th>\n",
              "      <td>2019-03</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>298</th>\n",
              "      <td>2019-04</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.473684</td>\n",
              "      <td>38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>299</th>\n",
              "      <td>2019-04</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>2.960000</td>\n",
              "      <td>25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>300</th>\n",
              "      <td>2019-04</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.909091</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>301</th>\n",
              "      <td>2019-04</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.361111</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>302</th>\n",
              "      <td>2019-05</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.388889</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>303</th>\n",
              "      <td>2019-05</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.480000</td>\n",
              "      <td>25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>304</th>\n",
              "      <td>2019-05</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.923077</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>305</th>\n",
              "      <td>2019-05</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.434783</td>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>306</th>\n",
              "      <td>2019-06</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>307</th>\n",
              "      <td>2019-06</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>308</th>\n",
              "      <td>2019-06</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.222222</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>309</th>\n",
              "      <td>2019-06</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>2.933333</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>310</th>\n",
              "      <td>2019-07</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.289474</td>\n",
              "      <td>38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>311</th>\n",
              "      <td>2019-07</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>312</th>\n",
              "      <td>2019-07</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>313</th>\n",
              "      <td>2019-07</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>2.680000</td>\n",
              "      <td>25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>314</th>\n",
              "      <td>2019-08</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.487179</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>315</th>\n",
              "      <td>2019-08</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.650000</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>316</th>\n",
              "      <td>2019-08</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.800000</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>317</th>\n",
              "      <td>2019-08</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.294118</td>\n",
              "      <td>34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>318</th>\n",
              "      <td>2019-09</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.583333</td>\n",
              "      <td>48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>319</th>\n",
              "      <td>2019-09</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.645161</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>320</th>\n",
              "      <td>2019-09</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.692308</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>321</th>\n",
              "      <td>2019-09</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.142857</td>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>322</th>\n",
              "      <td>2019-10</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>323</th>\n",
              "      <td>2019-10</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.592593</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>324</th>\n",
              "      <td>2019-10</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.125000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>325</th>\n",
              "      <td>2019-10</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.096774</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>326</th>\n",
              "      <td>2019-11</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.571429</td>\n",
              "      <td>42</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>327</th>\n",
              "      <td>2019-11</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.892857</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>328</th>\n",
              "      <td>2019-11</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.700000</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>329</th>\n",
              "      <td>2019-11</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.729730</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>330</th>\n",
              "      <td>2019-12</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.434783</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>331</th>\n",
              "      <td>2019-12</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.806452</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>332</th>\n",
              "      <td>2019-12</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.333333</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>333</th>\n",
              "      <td>2019-12</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.645161</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>334</th>\n",
              "      <td>2020-01</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.579710</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>335</th>\n",
              "      <td>2020-01</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.540541</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>336</th>\n",
              "      <td>2020-01</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.058824</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>337</th>\n",
              "      <td>2020-01</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.704545</td>\n",
              "      <td>44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>338</th>\n",
              "      <td>2020-02</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.673469</td>\n",
              "      <td>49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>339</th>\n",
              "      <td>2020-02</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.888889</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>340</th>\n",
              "      <td>2020-02</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>341</th>\n",
              "      <td>2020-02</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.343750</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>342</th>\n",
              "      <td>2020-03</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.218750</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>343</th>\n",
              "      <td>2020-03</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.920000</td>\n",
              "      <td>25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>344</th>\n",
              "      <td>2020-03</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.200000</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>345</th>\n",
              "      <td>2020-03</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.162162</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>346</th>\n",
              "      <td>2020-04</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.423077</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>347</th>\n",
              "      <td>2020-04</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>2.700000</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>348</th>\n",
              "      <td>2020-04</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.500000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>349</th>\n",
              "      <td>2020-04</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.947368</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>350</th>\n",
              "      <td>2020-05</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.416667</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>351</th>\n",
              "      <td>2020-05</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>4.083333</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>352</th>\n",
              "      <td>2020-05</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.800000</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>353</th>\n",
              "      <td>2020-05</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.769231</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>354</th>\n",
              "      <td>2020-06</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.523810</td>\n",
              "      <td>21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>355</th>\n",
              "      <td>2020-06</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>356</th>\n",
              "      <td>2020-06</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.333333</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>357</th>\n",
              "      <td>2020-06</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>358</th>\n",
              "      <td>2020-07</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.315789</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>359</th>\n",
              "      <td>2020-07</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>360</th>\n",
              "      <td>2020-07</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.250000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>361</th>\n",
              "      <td>2020-07</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.333333</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>362</th>\n",
              "      <td>2020-08</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.125000</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>363</th>\n",
              "      <td>2020-08</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.625000</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>364</th>\n",
              "      <td>2020-08</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.750000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>365</th>\n",
              "      <td>2020-08</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>2.833333</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>366</th>\n",
              "      <td>2020-09</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.423077</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>367</th>\n",
              "      <td>2020-09</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.461538</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>368</th>\n",
              "      <td>2020-09</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>369</th>\n",
              "      <td>2020-09</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>2.615385</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>370</th>\n",
              "      <td>2020-10</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>2.923077</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>371</th>\n",
              "      <td>2020-10</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.230769</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>372</th>\n",
              "      <td>2020-10</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>373</th>\n",
              "      <td>2020-10</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>2.769231</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>374</th>\n",
              "      <td>2020-11</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.066667</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>375</th>\n",
              "      <td>2020-11</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>2.250000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>376</th>\n",
              "      <td>2020-11</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>377</th>\n",
              "      <td>2020-11</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>2.545455</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>378</th>\n",
              "      <td>2020-12</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>2.583333</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>379</th>\n",
              "      <td>2020-12</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.571429</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>380</th>\n",
              "      <td>2020-12</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.400000</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>381</th>\n",
              "      <td>2020-12</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.076923</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>382</th>\n",
              "      <td>2021-01</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>2.846154</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>383</th>\n",
              "      <td>2021-01</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.100000</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>384</th>\n",
              "      <td>2021-01</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.333333</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>385</th>\n",
              "      <td>2021-01</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>386</th>\n",
              "      <td>2021-02</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>2.571429</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>387</th>\n",
              "      <td>2021-02</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>388</th>\n",
              "      <td>2021-02</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>2.333333</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>389</th>\n",
              "      <td>2021-02</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>1.875000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>390</th>\n",
              "      <td>2021-03</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>2.444444</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>391</th>\n",
              "      <td>2021-03</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.125000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>392</th>\n",
              "      <td>2021-03</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>4.500000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>393</th>\n",
              "      <td>2021-03</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>394</th>\n",
              "      <td>2021-04</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.470588</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>395</th>\n",
              "      <td>2021-04</td>\n",
              "      <td>McDonalds</td>\n",
              "      <td>3.250000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>396</th>\n",
              "      <td>2021-04</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.400000</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>397</th>\n",
              "      <td>2021-04</td>\n",
              "      <td>Walmart</td>\n",
              "      <td>2.666667</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>398</th>\n",
              "      <td>2021-05</td>\n",
              "      <td>Amazon.com</td>\n",
              "      <td>3.166667</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>399</th>\n",
              "      <td>2021-05</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    month_year company_name      mean  count\n",
              "0      2012-01    McDonalds  3.333333      3\n",
              "1      2012-03    McDonalds  4.200000      5\n",
              "2      2012-03      Walmart  3.111111      9\n",
              "3      2012-04    McDonalds  3.500000      8\n",
              "4      2012-04      Walmart  3.000000     12\n",
              "5      2012-05    McDonalds  3.647059     17\n",
              "6      2012-05      Walmart  3.272727     11\n",
              "7      2012-06    McDonalds  3.272727     11\n",
              "8      2012-06    Starbucks  5.000000      1\n",
              "9      2012-06      Walmart  3.642857     14\n",
              "10     2012-07    McDonalds  3.666667     12\n",
              "11     2012-07    Starbucks  4.000000      1\n",
              "12     2012-07      Walmart  3.388889     18\n",
              "13     2012-08    McDonalds  3.555556      9\n",
              "14     2012-08    Starbucks  4.857143      7\n",
              "15     2012-08      Walmart  3.764706     17\n",
              "16     2012-09    McDonalds  3.000000     10\n",
              "17     2012-09    Starbucks  4.500000      2\n",
              "18     2012-09      Walmart  4.125000     16\n",
              "19     2012-10    McDonalds  4.083333     12\n",
              "20     2012-10    Starbucks  4.000000      1\n",
              "21     2012-10      Walmart  3.473684     19\n",
              "22     2012-11    McDonalds  2.428571      7\n",
              "23     2012-11    Starbucks  5.000000      2\n",
              "24     2012-11      Walmart  3.600000     10\n",
              "25     2012-12    McDonalds  3.636364     11\n",
              "26     2012-12    Starbucks  2.000000      1\n",
              "27     2012-12      Walmart  3.687500     16\n",
              "28     2013-01    McDonalds  3.375000      8\n",
              "29     2013-01    Starbucks  3.500000      2\n",
              "30     2013-01      Walmart  3.750000     12\n",
              "31     2013-02    McDonalds  3.000000     17\n",
              "32     2013-02      Walmart  3.333333     12\n",
              "33     2013-03    McDonalds  3.437500     16\n",
              "34     2013-03      Walmart  3.315789     19\n",
              "35     2013-04    McDonalds  3.692308     13\n",
              "36     2013-04    Starbucks  4.600000      5\n",
              "37     2013-04      Walmart  3.461538     13\n",
              "38     2013-05    McDonalds  3.550000     20\n",
              "39     2013-05    Starbucks  4.500000      4\n",
              "40     2013-05      Walmart  4.100000     10\n",
              "41     2013-06    McDonalds  3.750000     12\n",
              "42     2013-06    Starbucks  4.500000      2\n",
              "43     2013-06      Walmart  3.125000     16\n",
              "44     2013-07    McDonalds  3.789474     19\n",
              "45     2013-07    Starbucks  3.500000      4\n",
              "46     2013-07      Walmart  3.214286     14\n",
              "47     2013-08    McDonalds  3.333333     24\n",
              "48     2013-08      Walmart  3.392857     28\n",
              "49     2013-09    McDonalds  3.428571     14\n",
              "50     2013-09    Starbucks  4.666667      3\n",
              "51     2013-09      Walmart  3.875000     16\n",
              "52     2013-10    McDonalds  3.625000     16\n",
              "53     2013-10    Starbucks  3.500000      2\n",
              "54     2013-10      Walmart  3.466667     15\n",
              "55     2013-11    McDonalds  3.368421     19\n",
              "56     2013-11    Starbucks  5.000000      1\n",
              "57     2013-11      Walmart  3.588235     17\n",
              "58     2013-12    McDonalds  3.222222      9\n",
              "59     2013-12    Starbucks  4.250000      4\n",
              "60     2013-12      Walmart  3.333333      9\n",
              "61     2014-01    McDonalds  3.437500     16\n",
              "62     2014-01    Starbucks  4.400000      5\n",
              "63     2014-01      Walmart  3.611111     18\n",
              "64     2014-02    McDonalds  3.333333     18\n",
              "65     2014-02    Starbucks  5.000000      1\n",
              "66     2014-02      Walmart  3.333333     12\n",
              "67     2014-03    McDonalds  3.411765     17\n",
              "68     2014-03    Starbucks  3.000000      2\n",
              "69     2014-03      Walmart  3.705882     17\n",
              "70     2014-04    McDonalds  3.666667     12\n",
              "71     2014-04    Starbucks  4.000000      2\n",
              "72     2014-04      Walmart  3.692308     13\n",
              "73     2014-05    McDonalds  3.666667     15\n",
              "74     2014-05    Starbucks  4.000000      2\n",
              "75     2014-05      Walmart  4.111111      9\n",
              "76     2014-06    McDonalds  3.411765     17\n",
              "77     2014-06    Starbucks  5.000000      1\n",
              "78     2014-06      Walmart  3.666667     12\n",
              "79     2014-07    McDonalds  3.533333     15\n",
              "80     2014-07    Starbucks  5.000000      1\n",
              "81     2014-07      Walmart  4.166667      6\n",
              "82     2014-08    McDonalds  2.692308     13\n",
              "83     2014-08      Walmart  2.851852     27\n",
              "84     2014-09    McDonalds  3.800000     10\n",
              "85     2014-09    Starbucks  5.000000      1\n",
              "86     2014-09      Walmart  3.142857      7\n",
              "87     2014-10   Amazon.com  5.000000      1\n",
              "88     2014-10    McDonalds  3.722222     18\n",
              "89     2014-10    Starbucks  4.750000      4\n",
              "90     2014-10      Walmart  4.166667     12\n",
              "91     2014-11    McDonalds  3.555556      9\n",
              "92     2014-11    Starbucks  5.000000      2\n",
              "93     2014-11      Walmart  3.636364     11\n",
              "94     2014-12    McDonalds  3.285714     14\n",
              "95     2014-12      Walmart  3.350000     20\n",
              "96     2015-01    McDonalds  3.571429     21\n",
              "97     2015-01    Starbucks  4.000000      3\n",
              "98     2015-01      Walmart  3.230769     26\n",
              "99     2015-02   Amazon.com  5.000000      1\n",
              "100    2015-02    McDonalds  3.272727     11\n",
              "101    2015-02    Starbucks  4.000000      4\n",
              "102    2015-02      Walmart  3.105263     19\n",
              "103    2015-03   Amazon.com  5.000000      2\n",
              "104    2015-03    McDonalds  3.583333     12\n",
              "105    2015-03    Starbucks  3.750000      4\n",
              "106    2015-03      Walmart  3.500000     18\n",
              "107    2015-04   Amazon.com  5.000000      1\n",
              "108    2015-04    McDonalds  3.285714     14\n",
              "109    2015-04    Starbucks  4.000000      2\n",
              "110    2015-04      Walmart  3.823529     17\n",
              "111    2015-05   Amazon.com  4.500000      2\n",
              "112    2015-05    McDonalds  3.625000      8\n",
              "113    2015-05    Starbucks  4.000000      5\n",
              "114    2015-05      Walmart  3.187500     16\n",
              "115    2015-06   Amazon.com  4.000000      1\n",
              "116    2015-06    McDonalds  2.904762     21\n",
              "117    2015-06    Starbucks  4.250000      4\n",
              "118    2015-06      Walmart  3.466667     15\n",
              "119    2015-07   Amazon.com  5.000000      1\n",
              "120    2015-07    McDonalds  3.411765     17\n",
              "121    2015-07    Starbucks  5.000000      1\n",
              "122    2015-07      Walmart  3.105263     19\n",
              "123    2015-08   Amazon.com  4.750000      4\n",
              "124    2015-08    McDonalds  3.666667     12\n",
              "125    2015-08    Starbucks  5.000000      3\n",
              "126    2015-08      Walmart  3.409091     22\n",
              "127    2015-09   Amazon.com  3.200000      5\n",
              "128    2015-09    McDonalds  4.090909     11\n",
              "129    2015-09    Starbucks  5.000000      1\n",
              "130    2015-09      Walmart  3.312500     16\n",
              "131    2015-10   Amazon.com  3.166667      6\n",
              "132    2015-10    McDonalds  4.000000     18\n",
              "133    2015-10      Walmart  3.541667     24\n",
              "134    2015-11   Amazon.com  4.000000      7\n",
              "135    2015-11    McDonalds  3.461538     13\n",
              "136    2015-11    Starbucks  4.000000      3\n",
              "137    2015-11      Walmart  3.818182     11\n",
              "138    2015-12   Amazon.com  3.800000      5\n",
              "139    2015-12    McDonalds  3.500000      8\n",
              "140    2015-12    Starbucks  3.500000      2\n",
              "141    2015-12      Walmart  3.700000     10\n",
              "142    2016-01   Amazon.com  3.333333      9\n",
              "143    2016-01    McDonalds  3.500000     16\n",
              "144    2016-01    Starbucks  4.333333      3\n",
              "145    2016-01      Walmart  3.444444     18\n",
              "146    2016-02   Amazon.com  3.000000      8\n",
              "147    2016-02    McDonalds  3.300000     10\n",
              "148    2016-02    Starbucks  3.750000      4\n",
              "149    2016-02      Walmart  3.928571     14\n",
              "150    2016-03   Amazon.com  3.785714     14\n",
              "151    2016-03    McDonalds  3.272727     11\n",
              "152    2016-03    Starbucks  3.666667      3\n",
              "153    2016-03      Walmart  3.411765     17\n",
              "154    2016-04   Amazon.com  4.250000      4\n",
              "155    2016-04    McDonalds  4.000000      8\n",
              "156    2016-04    Starbucks  3.500000      2\n",
              "157    2016-04      Walmart  3.473684     19\n",
              "158    2016-05   Amazon.com  3.500000     10\n",
              "159    2016-05    McDonalds  3.384615     13\n",
              "160    2016-05    Starbucks  4.000000      2\n",
              "161    2016-05      Walmart  3.500000     16\n",
              "162    2016-06   Amazon.com  3.714286      7\n",
              "163    2016-06    McDonalds  3.058824     17\n",
              "164    2016-06    Starbucks  4.333333      6\n",
              "165    2016-06      Walmart  3.333333     18\n",
              "166    2016-07   Amazon.com  3.375000      8\n",
              "167    2016-07    McDonalds  3.692308     13\n",
              "168    2016-07    Starbucks  4.500000      2\n",
              "169    2016-07      Walmart  3.750000     16\n",
              "170    2016-08   Amazon.com  3.625000      8\n",
              "171    2016-08    McDonalds  3.461538     13\n",
              "172    2016-08    Starbucks  4.333333      3\n",
              "173    2016-08      Walmart  3.384615     13\n",
              "174    2016-09   Amazon.com  3.846154     13\n",
              "175    2016-09    McDonalds  3.523810     21\n",
              "176    2016-09    Starbucks  4.666667      3\n",
              "177    2016-09      Walmart  3.714286     21\n",
              "178    2016-10   Amazon.com  4.300000     10\n",
              "179    2016-10    McDonalds  3.291667     24\n",
              "180    2016-10    Starbucks  3.800000      5\n",
              "181    2016-10      Walmart  4.000000     11\n",
              "182    2016-11   Amazon.com  3.000000     11\n",
              "183    2016-11    McDonalds  3.450000     20\n",
              "184    2016-11    Starbucks  2.000000      1\n",
              "185    2016-11      Walmart  3.461538     26\n",
              "186    2016-12   Amazon.com  3.470588     17\n",
              "187    2016-12    McDonalds  3.772727     22\n",
              "188    2016-12    Starbucks  4.800000      5\n",
              "189    2016-12      Walmart  3.379310     29\n",
              "190    2017-01   Amazon.com  3.366667     30\n",
              "191    2017-01    McDonalds  3.729730     37\n",
              "192    2017-01    Starbucks  4.750000      4\n",
              "193    2017-01      Walmart  3.603774     53\n",
              "194    2017-02   Amazon.com  3.375000      8\n",
              "195    2017-02    McDonalds  3.333333     21\n",
              "196    2017-02    Starbucks  4.800000      5\n",
              "197    2017-02      Walmart  3.310345     29\n",
              "198    2017-03   Amazon.com  3.266667     15\n",
              "199    2017-03    McDonalds  3.310345     29\n",
              "200    2017-03    Starbucks  4.000000      1\n",
              "201    2017-03      Walmart  3.950000     40\n",
              "202    2017-04   Amazon.com  3.750000     24\n",
              "203    2017-04    McDonalds  3.312500     32\n",
              "204    2017-04    Starbucks  4.000000      3\n",
              "205    2017-04      Walmart  3.193548     31\n",
              "206    2017-05   Amazon.com  3.760000     25\n",
              "207    2017-05    McDonalds  3.600000     40\n",
              "208    2017-05    Starbucks  4.333333      6\n",
              "209    2017-05      Walmart  3.720000     50\n",
              "210    2017-06   Amazon.com  3.760000     25\n",
              "211    2017-06    McDonalds  3.027778     36\n",
              "212    2017-06    Starbucks  4.363636     11\n",
              "213    2017-06      Walmart  3.423077     52\n",
              "214    2017-07   Amazon.com  3.343750     32\n",
              "215    2017-07    McDonalds  3.527778     36\n",
              "216    2017-07    Starbucks  3.727273     11\n",
              "217    2017-07      Walmart  3.183673     49\n",
              "218    2017-08   Amazon.com  3.555556     27\n",
              "219    2017-08    McDonalds  3.371429     35\n",
              "220    2017-08    Starbucks  4.000000     18\n",
              "221    2017-08      Walmart  3.512821     39\n",
              "222    2017-09   Amazon.com  3.785714     28\n",
              "223    2017-09    McDonalds  3.304348     23\n",
              "224    2017-09    Starbucks  4.600000      5\n",
              "225    2017-09      Walmart  3.484848     33\n",
              "226    2017-10   Amazon.com  2.583333     24\n",
              "227    2017-10    McDonalds  3.500000     30\n",
              "228    2017-10    Starbucks  4.083333     12\n",
              "229    2017-10      Walmart  3.384615     39\n",
              "230    2017-11   Amazon.com  3.785714     14\n",
              "231    2017-11    McDonalds  3.500000     28\n",
              "232    2017-11    Starbucks  3.250000      8\n",
              "233    2017-11      Walmart  3.171429     35\n",
              "234    2017-12   Amazon.com  3.586207     29\n",
              "235    2017-12    McDonalds  3.111111     36\n",
              "236    2017-12    Starbucks  3.000000      5\n",
              "237    2017-12      Walmart  3.611111     36\n",
              "238    2018-01   Amazon.com  3.250000     44\n",
              "239    2018-01    McDonalds  3.490909     55\n",
              "240    2018-01    Starbucks  4.055556     18\n",
              "241    2018-01      Walmart  3.368421     57\n",
              "242    2018-02   Amazon.com  3.250000     28\n",
              "243    2018-02    McDonalds  3.206897     29\n",
              "244    2018-02    Starbucks  4.000000     13\n",
              "245    2018-02      Walmart  3.562500     32\n",
              "246    2018-03   Amazon.com  3.615385     26\n",
              "247    2018-03    McDonalds  3.485714     35\n",
              "248    2018-03    Starbucks  4.461538     13\n",
              "249    2018-03      Walmart  3.486486     37\n",
              "250    2018-04   Amazon.com  3.565217     23\n",
              "251    2018-04    McDonalds  3.434783     23\n",
              "252    2018-04    Starbucks  4.166667      6\n",
              "253    2018-04      Walmart  3.238095     42\n",
              "254    2018-05   Amazon.com  3.615385     26\n",
              "255    2018-05    McDonalds  3.387097     31\n",
              "256    2018-05    Starbucks  3.714286      7\n",
              "257    2018-05      Walmart  3.578947     38\n",
              "258    2018-06   Amazon.com  3.322581     31\n",
              "259    2018-06    McDonalds  3.636364     44\n",
              "260    2018-06    Starbucks  3.600000     10\n",
              "261    2018-06      Walmart  3.319149     47\n",
              "262    2018-07   Amazon.com  3.594595     37\n",
              "263    2018-07    McDonalds  3.363636     33\n",
              "264    2018-07    Starbucks  4.266667     15\n",
              "265    2018-07      Walmart  3.319149     47\n",
              "266    2018-08   Amazon.com  3.647059     34\n",
              "267    2018-08    McDonalds  3.522727     44\n",
              "268    2018-08    Starbucks  3.500000      8\n",
              "269    2018-08      Walmart  3.410256     39\n",
              "270    2018-09   Amazon.com  3.350000     20\n",
              "271    2018-09    McDonalds  3.387097     31\n",
              "272    2018-09    Starbucks  4.000000     12\n",
              "273    2018-09      Walmart  3.437500     32\n",
              "274    2018-10   Amazon.com  3.611111     18\n",
              "275    2018-10    McDonalds  3.809524     21\n",
              "276    2018-10    Starbucks  4.125000      8\n",
              "277    2018-10      Walmart  3.021739     46\n",
              "278    2018-11   Amazon.com  3.625000     16\n",
              "279    2018-11    McDonalds  3.850000     20\n",
              "280    2018-11    Starbucks  4.500000      6\n",
              "281    2018-11      Walmart  3.896552     29\n",
              "282    2018-12   Amazon.com  3.437500     16\n",
              "283    2018-12    McDonalds  3.161290     31\n",
              "284    2018-12    Starbucks  3.600000     10\n",
              "285    2018-12      Walmart  3.230769     26\n",
              "286    2019-01   Amazon.com  3.576923     26\n",
              "287    2019-01    McDonalds  3.103448     29\n",
              "288    2019-01    Starbucks  4.538462     13\n",
              "289    2019-01      Walmart  3.628571     35\n",
              "290    2019-02   Amazon.com  3.434783     23\n",
              "291    2019-02    McDonalds  3.120000     25\n",
              "292    2019-02    Starbucks  3.000000      7\n",
              "293    2019-02      Walmart  3.185185     27\n",
              "294    2019-03   Amazon.com  3.400000     15\n",
              "295    2019-03    McDonalds  3.357143     28\n",
              "296    2019-03    Starbucks  4.500000      8\n",
              "297    2019-03      Walmart  3.500000     38\n",
              "298    2019-04   Amazon.com  3.473684     38\n",
              "299    2019-04    McDonalds  2.960000     25\n",
              "300    2019-04    Starbucks  3.909091     11\n",
              "301    2019-04      Walmart  3.361111     36\n",
              "302    2019-05   Amazon.com  3.388889     36\n",
              "303    2019-05    McDonalds  3.480000     25\n",
              "304    2019-05    Starbucks  3.923077     13\n",
              "305    2019-05      Walmart  3.434783     23\n",
              "306    2019-06   Amazon.com  3.666667     27\n",
              "307    2019-06    McDonalds  3.000000     26\n",
              "308    2019-06    Starbucks  4.222222      9\n",
              "309    2019-06      Walmart  2.933333     30\n",
              "310    2019-07   Amazon.com  3.289474     38\n",
              "311    2019-07    McDonalds  3.500000     30\n",
              "312    2019-07    Starbucks  3.666667      9\n",
              "313    2019-07      Walmart  2.680000     25\n",
              "314    2019-08   Amazon.com  3.487179     39\n",
              "315    2019-08    McDonalds  3.650000     40\n",
              "316    2019-08    Starbucks  3.800000     15\n",
              "317    2019-08      Walmart  3.294118     34\n",
              "318    2019-09   Amazon.com  3.583333     48\n",
              "319    2019-09    McDonalds  3.645161     31\n",
              "320    2019-09    Starbucks  3.692308     13\n",
              "321    2019-09      Walmart  3.142857     35\n",
              "322    2019-10   Amazon.com  3.500000     30\n",
              "323    2019-10    McDonalds  3.592593     27\n",
              "324    2019-10    Starbucks  4.125000      8\n",
              "325    2019-10      Walmart  3.096774     31\n",
              "326    2019-11   Amazon.com  3.571429     42\n",
              "327    2019-11    McDonalds  3.892857     28\n",
              "328    2019-11    Starbucks  3.700000     10\n",
              "329    2019-11      Walmart  3.729730     37\n",
              "330    2019-12   Amazon.com  3.434783     69\n",
              "331    2019-12    McDonalds  3.806452     31\n",
              "332    2019-12    Starbucks  4.333333      6\n",
              "333    2019-12      Walmart  3.645161     31\n",
              "334    2020-01   Amazon.com  3.579710     69\n",
              "335    2020-01    McDonalds  3.540541     37\n",
              "336    2020-01    Starbucks  4.058824     17\n",
              "337    2020-01      Walmart  3.704545     44\n",
              "338    2020-02   Amazon.com  3.673469     49\n",
              "339    2020-02    McDonalds  3.888889     36\n",
              "340    2020-02    Starbucks  4.000000     14\n",
              "341    2020-02      Walmart  3.343750     32\n",
              "342    2020-03   Amazon.com  3.218750     32\n",
              "343    2020-03    McDonalds  3.920000     25\n",
              "344    2020-03    Starbucks  4.200000     10\n",
              "345    2020-03      Walmart  3.162162     37\n",
              "346    2020-04   Amazon.com  3.423077     26\n",
              "347    2020-04    McDonalds  2.700000     10\n",
              "348    2020-04    Starbucks  4.500000      4\n",
              "349    2020-04      Walmart  3.947368     19\n",
              "350    2020-05   Amazon.com  3.416667     12\n",
              "351    2020-05    McDonalds  4.083333     12\n",
              "352    2020-05    Starbucks  3.800000      5\n",
              "353    2020-05      Walmart  3.769231     13\n",
              "354    2020-06   Amazon.com  3.523810     21\n",
              "355    2020-06    McDonalds  3.666667     15\n",
              "356    2020-06    Starbucks  4.333333      3\n",
              "357    2020-06      Walmart  3.000000      8\n",
              "358    2020-07   Amazon.com  3.315789     19\n",
              "359    2020-07    McDonalds  3.666667      9\n",
              "360    2020-07    Starbucks  3.250000      4\n",
              "361    2020-07      Walmart  3.333333      9\n",
              "362    2020-08   Amazon.com  3.125000     16\n",
              "363    2020-08    McDonalds  3.625000     16\n",
              "364    2020-08    Starbucks  3.750000      4\n",
              "365    2020-08      Walmart  2.833333     18\n",
              "366    2020-09   Amazon.com  3.423077     26\n",
              "367    2020-09    McDonalds  3.461538     13\n",
              "368    2020-09    Starbucks  3.000000      1\n",
              "369    2020-09      Walmart  2.615385     13\n",
              "370    2020-10   Amazon.com  2.923077     26\n",
              "371    2020-10    McDonalds  3.230769     13\n",
              "372    2020-10    Starbucks  2.000000      2\n",
              "373    2020-10      Walmart  2.769231     13\n",
              "374    2020-11   Amazon.com  3.066667     15\n",
              "375    2020-11    McDonalds  2.250000      8\n",
              "376    2020-11    Starbucks  4.000000      5\n",
              "377    2020-11      Walmart  2.545455     11\n",
              "378    2020-12   Amazon.com  2.583333     12\n",
              "379    2020-12    McDonalds  3.571429      7\n",
              "380    2020-12    Starbucks  3.400000      5\n",
              "381    2020-12      Walmart  3.076923     13\n",
              "382    2021-01   Amazon.com  2.846154     13\n",
              "383    2021-01    McDonalds  3.100000     10\n",
              "384    2021-01    Starbucks  3.333333      6\n",
              "385    2021-01      Walmart  3.000000     18\n",
              "386    2021-02   Amazon.com  2.571429      7\n",
              "387    2021-02    McDonalds  3.000000     10\n",
              "388    2021-02    Starbucks  2.333333      3\n",
              "389    2021-02      Walmart  1.875000      8\n",
              "390    2021-03   Amazon.com  2.444444     18\n",
              "391    2021-03    McDonalds  3.125000      8\n",
              "392    2021-03    Starbucks  4.500000      2\n",
              "393    2021-03      Walmart  2.000000      8\n",
              "394    2021-04   Amazon.com  3.470588     17\n",
              "395    2021-04    McDonalds  3.250000      4\n",
              "396    2021-04    Starbucks  3.400000      5\n",
              "397    2021-04      Walmart  2.666667      6\n",
              "398    2021-05   Amazon.com  3.166667     12\n",
              "399    2021-05    Starbucks  3.000000      4"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 884
        },
        "id": "suburban-morning",
        "outputId": "8ec70eba-9926-4212-f6f3-4bb8e6d63ab6"
      },
      "source": [
        "### plt.clf()\n",
        "fig, ax = plt.subplots(figsize=(12, 8))\n",
        "sns.lineplot(data=domp, x='month_year', y='mean', hue='company_name',linewidth=2, style = 'company_name')\n",
        "plt.title(\"Four Most-Reviewed Companies\", fontsize=20)\n",
        "plt.xlabel('Time', fontsize=20)\n",
        "plt.ylabel('Average Rating', fontsize=20)\n",
        "plt.legend(title='')\n",
        "#ticks, labels = plt.xticks()\n",
        "\n",
        "plt.xticks(ticks=[0,12, 24, 36, 48, 60, 72, 84, 96, 108, 120], labels=[ '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020', '2021'])\n",
        "#plt.legend(['Not Seattle', 'Seattle'])"
      ],
      "id": "suburban-morning",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "([<matplotlib.axis.XTick at 0x7f19d327fa90>,\n",
              "  <matplotlib.axis.XTick at 0x7f19d327f450>,\n",
              "  <matplotlib.axis.XTick at 0x7f19d32085d0>,\n",
              "  <matplotlib.axis.XTick at 0x7f19d3239550>,\n",
              "  <matplotlib.axis.XTick at 0x7f19d31c8610>,\n",
              "  <matplotlib.axis.XTick at 0x7f19d31c8550>,\n",
              "  <matplotlib.axis.XTick at 0x7f19d31ca190>,\n",
              "  <matplotlib.axis.XTick at 0x7f19d31ca650>,\n",
              "  <matplotlib.axis.XTick at 0x7f19d31ca590>,\n",
              "  <matplotlib.axis.XTick at 0x7f19d31d0190>,\n",
              "  <matplotlib.axis.XTick at 0x7f19d31d0610>],\n",
              " [Text(0, 0, '2012'),\n",
              "  Text(0, 0, '2013'),\n",
              "  Text(0, 0, '2014'),\n",
              "  Text(0, 0, '2015'),\n",
              "  Text(0, 0, '2016'),\n",
              "  Text(0, 0, '2017'),\n",
              "  Text(0, 0, '2018'),\n",
              "  Text(0, 0, '2019'),\n",
              "  Text(0, 0, '2020'),\n",
              "  Text(0, 0, '2021')])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 686
        },
        "id": "classical-sequence",
        "outputId": "b089aa93-4e90-48c7-b58f-cf51c9505c51"
      },
      "source": [
        "df2 = df[df.compensation_rating!=0]\n",
        "print(df2.shape[0])\n",
        "comp = df2.groupby(['review_year', 'treat_loc']).agg({'compensation_rating':['mean', 'count']})\n",
        "comp.columns = ['mean', 'count']\n",
        "comp.reset_index(inplace=True)\n",
        "comp"
      ],
      "id": "classical-sequence",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "40055\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>review_year</th>\n",
              "      <th>treat_loc</th>\n",
              "      <th>mean</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2012</td>\n",
              "      <td>0</td>\n",
              "      <td>3.312375</td>\n",
              "      <td>1495</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2012</td>\n",
              "      <td>1</td>\n",
              "      <td>3.434978</td>\n",
              "      <td>223</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2013</td>\n",
              "      <td>0</td>\n",
              "      <td>3.215040</td>\n",
              "      <td>2367</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2013</td>\n",
              "      <td>1</td>\n",
              "      <td>3.483333</td>\n",
              "      <td>300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2014</td>\n",
              "      <td>0</td>\n",
              "      <td>3.228512</td>\n",
              "      <td>2385</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2014</td>\n",
              "      <td>1</td>\n",
              "      <td>3.392283</td>\n",
              "      <td>311</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>2015</td>\n",
              "      <td>0</td>\n",
              "      <td>3.247183</td>\n",
              "      <td>2751</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>2015</td>\n",
              "      <td>1</td>\n",
              "      <td>3.508571</td>\n",
              "      <td>350</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>2016</td>\n",
              "      <td>0</td>\n",
              "      <td>3.279292</td>\n",
              "      <td>2936</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>2016</td>\n",
              "      <td>1</td>\n",
              "      <td>3.481959</td>\n",
              "      <td>388</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>2017</td>\n",
              "      <td>0</td>\n",
              "      <td>3.224447</td>\n",
              "      <td>6741</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>2017</td>\n",
              "      <td>1</td>\n",
              "      <td>3.329630</td>\n",
              "      <td>810</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>2018</td>\n",
              "      <td>0</td>\n",
              "      <td>3.120464</td>\n",
              "      <td>6641</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>2018</td>\n",
              "      <td>1</td>\n",
              "      <td>3.419204</td>\n",
              "      <td>854</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>2019</td>\n",
              "      <td>0</td>\n",
              "      <td>3.117727</td>\n",
              "      <td>5895</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>2019</td>\n",
              "      <td>1</td>\n",
              "      <td>3.318063</td>\n",
              "      <td>764</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>2020</td>\n",
              "      <td>0</td>\n",
              "      <td>3.188873</td>\n",
              "      <td>3505</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>2020</td>\n",
              "      <td>1</td>\n",
              "      <td>3.491954</td>\n",
              "      <td>435</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>2021</td>\n",
              "      <td>0</td>\n",
              "      <td>2.880299</td>\n",
              "      <td>802</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>2021</td>\n",
              "      <td>1</td>\n",
              "      <td>3.137255</td>\n",
              "      <td>102</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    review_year  treat_loc      mean  count\n",
              "0          2012          0  3.312375   1495\n",
              "1          2012          1  3.434978    223\n",
              "2          2013          0  3.215040   2367\n",
              "3          2013          1  3.483333    300\n",
              "4          2014          0  3.228512   2385\n",
              "5          2014          1  3.392283    311\n",
              "6          2015          0  3.247183   2751\n",
              "7          2015          1  3.508571    350\n",
              "8          2016          0  3.279292   2936\n",
              "9          2016          1  3.481959    388\n",
              "10         2017          0  3.224447   6741\n",
              "11         2017          1  3.329630    810\n",
              "12         2018          0  3.120464   6641\n",
              "13         2018          1  3.419204    854\n",
              "14         2019          0  3.117727   5895\n",
              "15         2019          1  3.318063    764\n",
              "16         2020          0  3.188873   3505\n",
              "17         2020          1  3.491954    435\n",
              "18         2021          0  2.880299    802\n",
              "19         2021          1  3.137255    102"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 534
        },
        "id": "level-reaction",
        "outputId": "fa49de96-bf64-423b-f896-b398cf8a34e7"
      },
      "source": [
        "fig, ax = plt.subplots(figsize=(12, 8))\n",
        "sns.barplot(data=comp, x='review_year', y='mean', hue='treat_loc')\n",
        "\n",
        "\n",
        "plt.title(\"Compensation Satisfaction\")\n",
        "plt.xlabel('Year')\n",
        "plt.ylabel('Average Rating')\n",
        "#plt.legend(['Not Seattle', 'Seattle'])\n",
        "plt.ylim(2.8, 3.8)"
      ],
      "id": "level-reaction",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2.8, 3.8)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "endless-terry",
        "outputId": "7c2c211e-869d-4668-bf4c-f3c8459599a9"
      },
      "source": [
        "# create output for R\n",
        "df['post'] = 0\n",
        "# different treatment times for Chicago and Cook\n",
        "mask = (df['review_date']>='07/01/2018')\n",
        "\n",
        "df.post[mask]=1\n",
        "\n",
        "print(df.treat_loc)\n",
        "\n",
        "df['month_year'] = pd.to_datetime(df['review_date']).dt.to_period('M')\n",
        "\n",
        "rdf = df[['overall_rating', 'work_life_rating', 'compensation_rating', 'job_security_rating',\n",
        "          'management_rating', 'culture_rating', 'post', 'treat_loc', 'review_year', \n",
        "          'company_name', 'norm_job_title', 'review_date', 'city', 'month_year']]\n",
        "rdf.to_csv('/content/drive/MyDrive/hannah_research/data/md_rdf.csv', index=False)"
      ],
      "id": "endless-terry",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:6: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "0        0\n",
            "1        0\n",
            "2        0\n",
            "3        1\n",
            "4        0\n",
            "        ..\n",
            "43808    0\n",
            "43809    0\n",
            "43810    0\n",
            "43811    0\n",
            "43812    1\n",
            "Name: treat_loc, Length: 43805, dtype: int64\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}