DSV_Vendor_Review.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "vendor_df = pd.read_excel(r'c:\\Users\\Phuong.Ngo\\OneDrive - DSV\\HP Working Folder\\03. Reporting\\02. Spend Analysis SOLUTIONS\\Vendros masterdata (SOL).xlsx', sheet_name='VendorByGroup')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "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>Group Company</th>\n",
       "      <th>Vendor Short Name</th>\n",
       "      <th>Tax code</th>\n",
       "      <th>Creditor/Debtor</th>\n",
       "      <th>Review List Check</th>\n",
       "      <th>Main Service</th>\n",
       "      <th>Main Type of Trucking</th>\n",
       "      <th>Main type Vehicle</th>\n",
       "      <th>Year of Established</th>\n",
       "      <th>Website available</th>\n",
       "      <th>Website</th>\n",
       "      <th>Office in North and South</th>\n",
       "      <th>Head Quarter</th>\n",
       "      <th>Branch</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Phu Thai</td>\n",
       "      <td>Phu Thai</td>\n",
       "      <td>0100368686</td>\n",
       "      <td>6408787290</td>\n",
       "      <td>No</td>\n",
       "      <td>WareHouse</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1993</td>\n",
       "      <td>Yes</td>\n",
       "      <td>https://phuthaigroup.com/</td>\n",
       "      <td>Yes</td>\n",
       "      <td>North</td>\n",
       "      <td>HAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Hop Luc Jsc</td>\n",
       "      <td>Hop Luc Jsc</td>\n",
       "      <td>2300105208</td>\n",
       "      <td>6408792154</td>\n",
       "      <td>No</td>\n",
       "      <td>???</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1998</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>North</td>\n",
       "      <td>HAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>NETCO (Binh Duong)</td>\n",
       "      <td>NETCO (Binh Duong)</td>\n",
       "      <td>0101344790002</td>\n",
       "      <td>6408949817</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Parcel Express</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2003</td>\n",
       "      <td>Yes</td>\n",
       "      <td>https://netco.com.vn/</td>\n",
       "      <td>Yes</td>\n",
       "      <td>North</td>\n",
       "      <td>SGN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>VNTLOGISTICS</td>\n",
       "      <td>VNTLOGISTICS</td>\n",
       "      <td>0101352858</td>\n",
       "      <td>6406187172</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Customs + Trucking</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2003</td>\n",
       "      <td>Yes</td>\n",
       "      <td>http://vntlogistics.com/</td>\n",
       "      <td>Yes</td>\n",
       "      <td>North</td>\n",
       "      <td>HAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Kerry Express VN</td>\n",
       "      <td>Kerry (Da Nang)</td>\n",
       "      <td>0101104372-003</td>\n",
       "      <td>6408871724</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Parcel Express</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2003</td>\n",
       "      <td>Yes</td>\n",
       "      <td>https://www.kerrylogistics.com/</td>\n",
       "      <td>Yes</td>\n",
       "      <td>South</td>\n",
       "      <td>HAN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Group Company   Vendor Short Name        Tax code  Creditor/Debtor  \\\n",
       "0            Phu Thai            Phu Thai      0100368686       6408787290   \n",
       "1         Hop Luc Jsc         Hop Luc Jsc      2300105208       6408792154   \n",
       "2  NETCO (Binh Duong)  NETCO (Binh Duong)   0101344790002       6408949817   \n",
       "3        VNTLOGISTICS        VNTLOGISTICS      0101352858       6406187172   \n",
       "4    Kerry Express VN     Kerry (Da Nang)  0101104372-003       6408871724   \n",
       "\n",
       "  Review List Check        Main Service  Main Type of Trucking  \\\n",
       "0                No           WareHouse                    NaN   \n",
       "1                No                 ???                    NaN   \n",
       "2               Yes      Parcel Express                    NaN   \n",
       "3               Yes  Customs + Trucking                    NaN   \n",
       "4               Yes      Parcel Express                    NaN   \n",
       "\n",
       "   Main type Vehicle  Year of Established Website available  \\\n",
       "0                NaN                 1993               Yes   \n",
       "1                NaN                 1998                No   \n",
       "2                NaN                 2003               Yes   \n",
       "3                NaN                 2003               Yes   \n",
       "4                NaN                 2003               Yes   \n",
       "\n",
       "                           Website Office in North and South Head Quarter  \\\n",
       "0        https://phuthaigroup.com/                       Yes        North   \n",
       "1                               No                        No        North   \n",
       "2            https://netco.com.vn/                       Yes        North   \n",
       "3         http://vntlogistics.com/                       Yes        North   \n",
       "4  https://www.kerrylogistics.com/                       Yes        South   \n",
       "\n",
       "  Branch  \n",
       "0    HAN  \n",
       "1    HAN  \n",
       "2    SGN  \n",
       "3    HAN  \n",
       "4    HAN  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vendor_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x233557f80c8>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#sns.displot(penguins, x=\"flipper_length_mm\")\n",
    "plt.figure(figsize=(12,6))\n",
    "sns.set_context('paper', font_scale=1.4)\n",
    "sns.set_style('darkgrid')\n",
    "sns.distplot(vendor_df['Year of Established'], bins=5,color='darkblue')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'DSV Vendor Year established')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9+eWXGjp0qNq2bWufExkZqU8++USHDh3Siy++qOjoaI0aNUrNmzfXa6+9lmOdMTEx2r17t2JiYnJc0nEjnp6eql+/vv15vzd8+HAFBQWpW7duevLJJ3XhwgV9+umn9mtz87Kffn5+euGFF/TKK6+odevWDsuHDh2q4OBgdenSRU8//bSuXLmiGTNm2H/IsMqLL76oF154QcOHD1d0dLRWr16tuLg4Va5cWe7u7ho5cqS+/fZbRUdH63//+58ef/xxRUREOJxdv5WRI0eqfPny6tq1q5588kmlpaVp8uTJKl68uMqUKaO4uDgtX75cjRo1Us+ePVW/fn116tRJktSiRQv98ssvio6OlqenpwYPHqxZs2YpOjpaQ4cOVZs2beTv7++Qp02bNva7vmzdulUTJ0685f2uGzdurC5duuidd95R/fr1NW7cOA0aNEiPPPLIn95H6bdbDj744INq06aN/vvf/6pNmzZ5fv0AFD4uJq//zgcAAADgljiDDQAAAFiIgg0AAABYiIINAAAAWIiCDQAAAFiIgg0AAABY6C/5TY4nT1640xEAAADwF+fjUyLXcc5gAwAAABaiYAMAAAAWomADAAAAFqJgAwAAABaiYAMAAAAWomADAAAAFqJgAwAAABaiYAMAAAAWomADAAAAFqJgAwAAABbK14L91VdfqUmTJrLZbIqMjNTs2bNznXf06FG1a9fOPm/dunX5GRMAAAC4bflWsE+cOKHY2Fj16dNHP/zwg8aOHauhQ4dq165dOeb27t1bgYGB2rx5s9566y316tVLR44cya+oAAAAwG3Lt4L9z3/+U5s2bVLNmjWVnZ2tc+fOqUiRIipWrJjDvOTkZO3cuVOxsbFyd3dXeHi46tSpo3nz5uVXVAAAAOC2Fc3PjRUvXlxpaWkKDQ3V1atX1bFjRz344IMOc5KSknTffffJ29vbPubr66vExMT8jAoAAADclnwt2JLk4eGhH374Qfv27VOnTp1UtmxZPfXUU/blly5dkqenp8NzvLy8dOXKlTxvo1Qp71tPQr64cOGK0tOz7nSMXHl4FFGJEp63nggA+FspqMcujluFR74XbFdXV7m7uys4OFgtW7bUmjVrHAq2t7e30tPTHZ6TlpbmcEb7Vs6du2xZXvw5GRnZCg4ecadj5GrHjr7KyuK9AgBwVFCPXRy3Ch4fnxK5jufbNdhbtmxR8+bNHcYyMjJUsmRJhzE/Pz8dPXrU4Yz1wYMH5e/vny85AQAAgD8j3wp2hQoVdPz4cU2ePFlZWVnatm2b5s+fryeffNJhnq+vr8qXL68xY8YoIyND3333ndasWaPGjRvnV1QAAADgtuVbwS5RooQmTJigVatWKSwsTAMGDNCQIUMUFhamxYsXy2az2eeOGzdOSUlJCg8PV//+/fX2228rICAgv6ICAAAAt83FGGPudAirnTx54U5HwP8pqNexSb9dy+buzpeZAgAcFdRjF8etgueOX4MNAAAA/B1QsAEAAAALUbABAAAAC1GwAQAAAAtRsAEAAAALUbABAAAAC1GwAQAAAAtRsAEAAAALUbABAAAAC1GwAQAAAAtRsAEAAAALUbABAAAAC1GwAQAAAAtRsAEAAAALUbABAAAAC1GwAQAAAAtRsAEAAAALUbABAAAAC1GwAQAAAAtRsAEAAAALUbABAAAAC1GwAQAAAAtRsAEAAAALUbABAAAAC1GwAQAAAAtRsAEAAAALUbABAAAAC1GwAQAAAAtRsAEAAAALUbABAAAAC1GwAQAAAAtRsAEAAAALUbABAAAAC1GwAQAAAAtRsAEAAAALUbABAAAAC1GwAQAAAAtRsAEAAAALUbABAAAAC1GwAQAAAAtRsAEAAAALUbABAAAAC+Vrwd6wYYOaN2+uKlWqKCoqSrNnz8513rx581SxYkXZbDb7nwULFuRnVAAAAOC2FM2vDR07dkw9evTQ8OHDVbduXe3cuVMdOnTQv//9b9WoUcNh7u7du9WuXTv16dMnv+IBAAAAlsi3M9ipqalq3LixoqKi5OrqqkqVKiksLEzbtm3LMXfXrl2qUKFCfkUDAAAALJNvBTs0NFRvvvmm/fG5c+eUkJCghx9+2GFeVlaW9u3bp0WLFikiIkJRUVGaMGGCjDH5FRUAAAC4bfl2icj1Lly4oC5duigkJER169Z1WHbmzBkFBQWpWbNmev/995WUlKSuXbuqWLFieu655/K0/lKlvJ0RG7fh1KlLdzrCDbm6uvBeAQDkUFCPXRy3Co98L9jJycnq2rWr/P39NWrUKLm6Op5E9/Hx0YwZM+yPK1SooOeff16rVq3Kc8E+d+6ypZlx+7KzC+6/PGRnG94rAIAcCuqxi+NWwePjUyLX8Xy9i8jWrVvVsmVLRUZGKi4uTh4eHjnm/PTTT4qLi3MYy8zMzHUuAAAAUNDkW8FOSUnRSy+9pNjYWL3yyitycXHJdV7JkiU1efJkzZkzR9nZ2dq5c6emT5+u5s2b51dUAAAA4Lbl2yUiM2fO1KVLlzR69GiNHj3aPv7ss8+qRIkSWrJkieLj43Xvvffqww8/1MiRI/XOO+/oH//4h7p27aoGDRrkV1QAAADgtrmYv+DtOU6evHCnI+D/ZGRkKzh4xJ2OkasdO/rK3Z0vMwUAOCqoxy6OWwVPgbgGGwAAAPiro2ADAAAAFqJgAwAAABaiYAMAAAAWomADAAAAFqJgAwAAABaiYAMAAAAWomADAAAAFqJgAwAAABaiYAMAAAAWomADAAAAFqJgAwAAABaiYAMAAAAWomADAAAAFqJgAwAAABaiYAMAAAAWomADAAAAFqJgAwAAABaiYAMAAAAWomADAAAAFqJgAwAAABaiYAMAAAAWomADAAAAFqJgAwAAABaiYAMAAAAWomADAAAAFqJgAwAAABaiYAMAAAAWomADAAAAFqJgAwAAABaiYAMAAAAWomADAAAAFqJgAwAAABaiYAMAAAAWomADAAAAFqJgAwAAABaiYAMAAAAWomADAAAAFqJgAwAAABaiYAMAAAAWomADAAAAFqJgAwAAABbK14K9YcMGNW/eXFWqVFFUVJRmz56d67y9e/fq6aefVuXKldWkSRMlJibmZ0wAAADgtuVbwT527Jh69OihLl26KCEhQe+++65Gjx6tb7/91mFeRkaGunbtqoYNG2rr1q3q3Lmz2rdvr4sXL+ZXVAAAAOC25VvBTk1NVePGjRUVFSVXV1dVqlRJYWFh2rZtm8O8LVu2KDMzU23btpWbm5saNWokf39/LVu2LL+iAgAAALetaH5tKDQ0VKGhofbH586dU0JCgmJiYhzmHThwQH5+fg5jvr6+2r9/f563VaqU958LC8ucOnXpTke4IVdXl1u+Vy5cuKL09Kx8SvTHeHgUUYkSnnc6BgD85RTUY1dejlt/BQX12PtHjrv5VrCvd+HCBXXp0kUhISGqW7euw7LLly/L09MxvJeXl9LS0vK8/nPnLluSE39edra50xFuKDvb3PK9kpGRreDgEfmU6I/ZsaOvsrJ4rwOA1QrqsSsvx62/goJ67M3tuOvjUyLXufl+F5Hk5GS1bNlS99xzj+Li4uTq6hjB29tb6enpDmNpaWny9v7r/8QGAACAwi9fC/bWrVvVsmVLRUZGKi4uTh4eHjnm+Pn5KTk52WHs4MGD8vf3z6+YAAAAwG3Lt4KdkpKil156SbGxsXrllVfk4uKS67xq1arJGKMpU6YoMzNT8fHx2rdvn6KiovIrKgAAAHDb8u0a7JkzZ+rSpUsaPXq0Ro8ebR9/9tlnVaJECS1ZskTx8fFyd3fXxIkTNXDgQI0dO1ZlypTRBx98oNKlS+dXVAAAAOC25VvB7tevn/r163fD5Z07d7b/d0BAgGbNmpUfsQAAAABL8VXpAAAAgIUo2AAAAICFKNgAAACAhSjYAAAAgIUo2AAAAICFKNgAAACAhSjYAAAAgIUo2AAAAICFKNgAAACAhSjYAAAAgIUo2AAAAICFKNgAAACAhSjYAAAAgIUo2AAAAICFKNgAAACAhSjYAAAAgIUo2AAAAICFKNgAAACAhSjYAAAAgIUo2AAAAICFKNgAAACAhSjYAAAAgIUo2AAAAICF8lyw69atq7Nnz+YYP378uMLDwy0NBQAAABRWRW+2cM2aNfr+++8lSampqRo3bpw8PT0d5qSkpDgvHQAAAFDI3LRgly9fXlOnTpUxRpK0e/duubm52Ze7uLjI29tbw4YNc25KAAAAoJC4acH+97//rWnTpkmS+vXrp9dff13FixfPl2AAAABAYXTTgn29d955R1evXtXhw4d19epV+1nta/z9/S0PBwAAABQ2eS7YX3/9tfr166dz587lKNcuLi7as2eP5eEAAACAwibPBXv06NF65JFH1K1bNy4TAQAAAG4gzwU7JSVFY8aMkZ+fnzPzAAAAAIVanu+DHRwcrP379zszCwAAAFDo5fkMdlRUlAYMGKAtW7aobNmyDrfrk6TnnnvO8nAAAABAYZPngj1lyhSVKFFC69aty7HMxcWFgg0AAADoDxTstWvXOjMHAAAA8JeQ54KdlpZ20+VeXl5/OgwAAABQ2OW5YNtsNrm4uNxwOffBBgAAAP5Awb72lenXZGVlKSUlRZ9++qn++9//Wh4MAAAAKIzyXLDDwsJyjIWHh+uBBx7QyJEjFRkZaWkwAAAAoDDK832wb+Sf//ynDhw4YEUWAAAAoNDL8xns3G7Pd+HCBX366acqX768paEAAACAwirPBfull17KMebm5qbg4GANGDDA0lAAAABAYZXngr13717LNpqYmKiXXnpJmzZtynX5pk2b9OKLL8rT09M+1qFDB3Xr1s2yDAAAAIAz5LlgS1J6eroWL16sAwcOKDs7W35+foqOjlbJkiXz9HxjjObNm6fhw4ffdN7u3bvVoEEDjRkz5o/EAwAAAO64PP+SY3Jysho2bKh3331XP/30kw4cOKCxY8cqOjpahw8fztM64uLiNGvWLHXp0uWm83bt2qUKFSrkNRoAAABQYOT5DPbbb7+tChUqaNSoUfZvbUxLS9Orr76qd955R+PHj7/lOlq1aqWePXtq8+bNN523a9cunTlzRrNmzZIxRg0bNlSvXr3k7u6ep6ylSnnnaR6c79SpS3c6wg25urrc8r1S2PMDAP64gvrZ/3f53P8rvP55LtgJCQmaO3euw1eie3l5qXv37mrVqlWe1nHvvffecs7Vq1f1r3/9S1FRUWrevLlOnDihnj17ysXFRX379s3Tds6du5yneXC+7GxzpyPcUHa2ueV7pbDnBwD8cQX1s//v8rlfmF5/H58Suc7N8yUiJUuW1K+//ppj/Ndff5Wbm9sfjHhjRYsW1dSpU/Xcc8/Jy8tLZcuWVefOnbVq1SrLtgEAAAA4S54LdlRUlAYNGqTdu3fbx3bt2qXBgwcrKirKskDHjx/X8OHDlZGRYR/LzMyUh4eHZdsAAAAAnCXPl4j06tVLsbGxatGihf2MdWZmpqKiovS///3PskClSpXSkiVL5OnpqW7duunnn3/WRx99pBYtWli2DQAAAMBZ8lywvby8VKlSJdWpU0elS5eWh4eH+vXrp4CAAHl7/7kL7hcvXqyBAwfqhx9+kIeHhyZOnKihQ4eqWrVq8vLyUsuWLdWuXbs/tQ0AAAAgP+S5YA8bNkxr167Vm2++qerVq0uSXnvtNb3//vvKzMxUr1698rzRatWqKSEhwf64adOmatq0qf1xhQoVNH369DyvDwAAACgo8nwN9vLlyzVq1Ch7uZakZs2aadiwYfriiy+cEg4AAAAobPJcsNPS0nK9FOSuu+7SxYsXLQ0FAAAAFFZ5LtjVqlXTyJEjde7cOfvYr7/+qjFjxigsLMwp4QAAAIDCJs/XYPfv31/t2rXT448/rvvvv18uLi46evSoHnjgAX344YfOzAgAAAAUGnku2Pfff7+WLFmijRs3KikpSW5ubnrwwQcVEREhV9c8nwgHAAAA/tLyXLAlyd3dXbVq1VKtWrWcFAcAAAAo3Dj1DAAAAFiIgg0AAABYiIINAAAAWIiCDQAAAFiIgg0AAABYiIINAAAAWIiCDQAAAFiIgg0AAABYiIINAAAAWIiCDQAAAMu4O1kAACAASURBVFiIgg0AAABYiIINAAAAWIiCDQAAAFiIgg0AAABYiIINAAAAWIiCDQAAAFiIgg0AAABYiIINAAAAWIiCDQAAAFiIgg0AAABYiIINAAAAWIiCDQAAAFiIgg0AAABYiIINAAAAWIiCDQAAAFiIgg0AAABYiIINAAAAWIiCDQAAAFiIgg0AAABYiIINAAAAWIiCDQAAAFiIgg0AAABYiIINAAAAWIiCDQAAAFiIgg0AAABY6I4U7MTERIWHh99w+dGjR9WuXTvZbDZFRkZq3bp1+ZgOAAAAuH35WrCNMZo7d65efPFFZWZm3nBe7969FRgYqM2bN+utt95Sr169dOTIkXxMCgAAANyefC3YcXFxmjVrlrp06XLDOcnJydq5c6diY2Pl7u6u8PBw1alTR/PmzcvHpAAAAMDtydeC3apVK33xxRcKCgq64ZykpCTdd9998vb2to/5+vpq3759+RERAAAA+FOK5ufG7r333lvOuXTpkjw9PR3GvLy8dOXKlTxvp1Qpb4fHFy5cUXp6Vp6fn188PIqoRAnPW84rzPlPnbqUT2n+OFdXlxzvld8r7PkL83tHIr+z/B3yF9TsEvnvpLy+9wvqZ39ePvclXn9nyevrL+Vzwc4Lb29vpaenO4ylpaU5nNG+lXPnLjs8zsjIVnDwCEvyWWnHjr7Kyrp8y3mFOX92tsmnNH9cdrbJ8V7JbU5BlZf8hfm9I5HfWf4O+Qtqdon8d1Je3/sF9bM/L5/7Eq+/s+T2+vv4lMh1boG7TZ+fn5+OHj3qcMb64MGD8vf3v4OpAAAAgLwpcAXb19dX5cuX15gxY5SRkaHvvvtOa9asUePGje90NAAAAOCWCkTBXrx4sWw2m/3xuHHjlJSUpPDwcPXv319vv/22AgIC7mBCAAAAIG/uyDXY1apVU0JCgv1x06ZN1bRpU/vj++67T5988smdiAYAAAD8KQXiDDYAAADwV0HBBgAAACxEwQYAAAAsRMEGAAAALETBBgAAACxEwQYAAAAsRMEGAAAALETBBgAAACxEwQYAAAAsRMEGAAAALETBBgAAACxEwQYAAAAsRMEGAAAALETBBgAAACxEwQYAAAAsRMEGAAAALETBBgAAACxEwQYAAAAsRMEGAAAALETBBgAAACxEwQYAAAAsRMEGAAAALETBBgAAACxEwQYAAAAsRMEGAAAALETBBgAAACxEwQYAAAAsRMEGAAAALETBBgAAACxEwQYAAAAsRMEGAAAALETBBgAAACxEwQYAAAAsRMEGAAAALETBBgAAACxEwQYAAAAsRMEGAAAALETBBgAAACxEwQYAAAAsRMEGAAAALETBBgAAACxEwQYAAAAslK8Fe+/evXr66adVuXJlNWnSRImJibnOmzdvnipWrCibzWb/s2DBgvyMCgAAANyWovm1oYyMDHXt2lVt2rTRjBkztGrVKrVv315fffWVihcv7jB39+7dateunfr06ZNf8QAAAABL5NsZ7C1btigzM1Nt27aVm5ubGjVqJH9/fy1btizH3F27dqlChQr5FQ0AAACwTL4V7AMHDsjPz89hzNfXV/v373cYy8rK0r59+7Ro0SJFREQoKipKEyZMkDEmv6ICAAAAty3fLhG5fPmyPD09Hca8vLyUlpbmMHbmzBkFBQWpWbNmev/995WUlKSuXbuqWLFieu655/K0rVKlvB0enzp16c+FdxJXV5ccWXNTmPMX1OwS+e+kv8N7XyK/sxTm975E/jvp7/Del8jvLHnNL+Vjwfb29lZ6errDWFpamry9HYP6+PhoxowZ9scVKlTQ888/r1WrVuW5YJ87d9nhcXZ2wTz7nZ1tcmS90byCKC/5C2p2ifx30t/hvX9tXkH0d8hfULNL5L+T/g7v/WvzCqK/Yn4fnxK5zs23S0T8/PyUnJzsMHbw4EH5+/s7jP3000+Ki4tzGMvMzJSHh4fTMwIAAAB/Vr4V7GrVqskYoylTpigzM1Px8fHat2+foqKiHOaVLFlSkydP1pw5c5Sdna2dO3dq+vTpat68eX5FBQAAAG5bvhVsd3d3TZw4UStXrlRYWJjGjx+vDz74QKVLl9b48ePVqFEjSdK9996rDz/8ULNnz1bVqlUVGxurrl27qkGDBvkVFQAAALht+XYNtiQFBARo1qxZOcY7d+6szp072x+Hh4friy++yM9oAAAAgCX4qnQAAADAQhRsAAAAwEIUbAAAAMBCFGwAAADAQhRsAAAAwEIUbAAAAMBCFGwAAADAQhRsAAAAwEIUbAAAAMBCFGwAAADAQhRsAAAAwEIUbAAAAMBCFGwAAADAQhRsAAAAwEIUbAAAAMBCFGwAAADAQhRsAAAAwEIUbAAAAMBCFGwAAADAQhRsAAAAwEIUbAAAAMBCFGwAAADAQhRsAAAAwEIUbAAAAMBCFGwAAADAQhRsAAAAwEIUbAAAAMBCFGwAAADAQhRsAAAAwEIUbAAAAMBCFGwAAADAQhRsAAAAwEIUbAAAAMBCFGwAAADAQhRsAAAAwEIUbAAAAMBCFGwAAADAQhRsAAAAwEIUbAAAAMBCFGwAAADAQhRsAAAAwEIUbAAAAMBC+Vqw9+7dq6efflqVK1dWkyZNlJiY+KfmAQAAAAVNvhXsjIwMde3aVQ0bNtTWrVvVuXNntW/fXhcvXryteQAAAEBBlG8Fe8uWLcrMzFTbtm3l5uamRo0ayd/fX8uWLbuteQAAAEBBlG8F+8CBA/Lz83MY8/X11f79+29rHgAAAFAQFc2vDV2+fFmenp4OY15eXkpLS7uteTfj41Mix9iZM2//gbQFT2HOX5izS+S/08h/ZxXm/IU5u0T+O438d1Zhz59vZ7C9vb2Vnp7uMJaWliZvb+/bmgcAAAAURPlWsP38/JScnOwwdvDgQfn7+9/WPAAAAKAgyreCXa1aNRljNGXKFGVmZio+Pl779u1TVFTUbc0DAAAACiIXY4zJr43t379fAwcO1N69e1WmTBm99tprCg8P1/jx47VkyRLFx8ffdB4AAABQ0OVrwQYAAAD+6viqdAAAAMBCFGwAAADAQhRsAAAAwEIUbEmJiYkOv0R55swZvfLKK6pWrZoiIiI0ZswYZWVl2ZdPnz5ddevWVdWqVdWhQwcdOXLEvuyHH35Qy5YtVaVKFT3++OP64IMP5MzL3K3MfvDgQbVp00ahoaGqWbOmPvroI6fl3rBhg5o3b64qVaooKipKs2fPliT9+uuvio2NVdWqVVWjRg3Nnz/f/hxjjMaMGaPw8HCFhoZq6NChunr1qn35hAkTVKtWLdlsNj355JNKSEgoVPmv2b59uypWrKiff/65UOXv27evgoODZbPZ7H+uf38V9Pzbtm1TixYtZLPZVL9+fa1YscIp2Z2Rf8CAAQ6vu81mU2BgoMaPH1/gs0vS/PnzFRkZqapVq+qpp54qdP/v3uxztSDkvyY7O1vdunXTlClTHMa/++47NWnSRJUrV1arVq2UkpJSqPIvXbpU0dHRqlKliho3bqzVq1cXqvzz589XvXr1ZLPZCmX+sWPHKigoyOHzZ/PmzYUie1JSktq0aSObzaZatWpp5syZ1gU2f2PZ2dlmzpw5pmrVqqZq1ar28Q4dOpgXXnjBnDp1ypw9e9a0a9fOjB492hhjTHx8vLHZbGbz5s0mMzPTzJw509StW9dcuXLFpKenm7CwMDN79myTnZ1tUlJSTPXq1c3KlSsLfHZjjHniiSfMRx99ZLKyskxycrIJDw83X375peXZjx49amw2m1m1apXJysoy27dvN4888oj55ptvTK9evUzPnj3N5cuXze7du014eLjZvHmzMcaYWbNmmYYNG5pjx46Z06dPm1atWplx48YZY4xZvny5efzxx82hQ4dMdna2+eyzz8wjjzxirl69WijyX3Px4kVTr149ExAQYI4cOWJ5dmfmb9SokVm3bp1TMjs7//Hjx01oaKj54osvTHZ2tlm/fr0JCgoyqamphSL/782cOdNER0ebCxcuFPjse/bsMaGhoWbfvn0mOzvbTJs2zYSFhZmsrCxLszsr/60+VwtCfmOMOXLkiOnYsaMJCAgwkydPto+fPn3aVKlSxaxYscJkZGSYiRMnmsjIyAL1+t8s//bt202VKlVMQkKCyc7ONl9//bUJCQkx+/fvLzT5bTab2b59uzHGmK+//to8/PDD5uTJk4UivzHGdOrUyXz22WeW53V29rS0NFO7dm3z4YcfmqtXr5rdu3cbm81mvv/+e0sy/63PYMfFxWnWrFnq0qWLfSwtLU3ffvut+vXrp7vvvlulSpVSz549NWfOHBljtGrVKrVs2VJhYWEqWrSonn32Wbm5uWnTpk1yd3fXmjVr9PTTT0uSzp49q6ysLN11110FPrsk+xf8GGPk4uIiFxcXeXh4WJ49NTVVjRs3VlRUlFxdXVWpUiWFhYVp06ZNWrlypXr27CkvLy9VqFBBTz31lD7//HNJ0sKFC/XCCy/oX//6l0qXLq0ePXrYl9WvX1/Lli1T2bJllZ6ervPnz+uuu+6Sq6v1b3Fn5L9myJAhqlevnuWZnZ3/ypUrOnjwoCpUqODU7M7Kv3DhQoWGhuqJJ56Qi4uLqlevrrlz56pkyZKFIv/1UlJSNHLkSL377rsqXrx4gc9++PBhZWdnS/rts8fV1VWenp6W5nZm/lt9rhaE/JcuXVKLFi1Uvnx52Ww2h3WuXr1aDz30kOrXry83Nzd16NBBGRkZhSb/0aNH1aZNG1WtWlUuLi6qWbOmypUrp+3btxeK/JUqVdK3336rSpUqKTMzU2fPnlWxYsXk7u5eKPJL0q5du5z+2e+M7GvXrlXx4sXVpUsXFSlSRBUqVNDcuXPl6+trSeailqylkGrVqpV69uzp8E8Z1z7or/9qdldXV505c0a//vqrsrOz5eXl5bCeIkWK6NChQ5JkP6DVqFFDJ0+eVOPGjfXII48Uiuxdu3bVe++9p7i4OGVlZalt27aKiIiwPHtoaKhCQ0Ptj8+dO6eEhASFhobKxcVFDz74oH2Zr6+v1q5dK0k6cOCA/Pz8HJadOHFC586dU6lSpVSsWDF98803eumll1SkSBG99957cnFxKTT5V6xYoZSUFL366quaMGGC5bmdmT85OVlFihTRG2+8oR9//FH33XefYmNjVbt27UKRf9euXfr3v/+tXr16aePGjbrvvvvUp08flS9fvlDkL1WqlH182LBhatmyZaHJHhERoYceekhNmjRRkSJF5OHhoUmTJjnlh2Nn5L/V52pByO/h4aFly5bp7rvvVuvWrR3W+ft9k6Ry5cpp//79ql69eoHP36BBAzVo0MD++PDhwzpw4IBTCp8z8ktSsWLFlJSUpCZNmig7O1tvvPGGU364d0b+EydO6OTJk5owYYJ+/PFHlSpVSu3bt1eLFi0KfPadO3fqoYce0oABA7R69WqVKlVKXbp0UdOmTS3J/Lc+g33vvffmGCtWrJiqV6+ukSNH6ty5czp79qw++OADSb+dpatfv77mzJmjHTt2KDMzU3PmzNHBgwd15coVh/WsWbNGK1eu1M6dOxUXF1cosru4uOjVV1/VDz/8oEWLFmn16tWaO3eu5dmvd+HCBXXp0kUhISGqWLGi3N3dHUqxl5eXPd/ly5cdDmTXznJd/9o/+uijSkxM1Ntvv61evXopKSmpUOQ/fvy4RowYoeHDhzulWDg7/6VLlxQaGqpu3brp22+/VefOnfXyyy9r7969hSL/+fPnNXfuXDVt2lTr169Xp06d1L17d6dei2pl/mv279+vjRs3qmPHjk7NbWX29PR0lStXTnPmzNGPP/6oPn36qFu3bjp58mShyJ/XY8KdzF+0aFHdfffdua7n9/sm/bZ/aWlpzgsv6/Jf75dfflHnzp3VokULVaxY0WnZJevzP/DAA9q+fbsmTZqkESNGaOPGjYUi/5kzZxQWFqbnn39e69at06BBgzR06FB9/fXXBT77+fPntWLFCgUHB+ubb77RoEGDNHDgQMt+B+RvXbBvZOTIkXJzc1N0dLRat26tyMhISVLJkiXVqFEjderUSb1791atWrW0f/9+PfbYYzl+2vTw8NCDDz6oDh06aM2aNQU++44dOzRlyhS1adNGHh4eKl++vNq3b69Zs2Y5LWtycrJatmype+65R3FxcSpWrJgyMjIcfik0LS3Nfkb++v9ppP9fLK4/Y+/u7i43NzfFxMQoKChI33zzTYHP7+Xlpb59+yo2NlZlypRxWl5n5ff29lZERIQmT56s4OBgubm5qX79+nr00Ued+t63Mr+7u7tq1Kih2rVr2///efjhhwvF++f69//8+fNVt25d3XPPPU7LbXX2999/Xz4+PgoJCZG7u7uee+45/fvf/3bqL5lamT+vx4Q7mf9mfr9v0m/7l5fn3i4r81/z448/6qmnntJjjz2mAQMGOCO2nTPyu7m5yc3NTdWrV1dUVJT9DKwzWJm/fPnymj59uh577DG5ubkpLCxMMTExWrVqVYHP7u7uroCAAD311FNyc3NTtWrVFBkZadlxi4KdixMnTmjw4MHauHGjli5dqnvvvVd+fn7y8vLSiRMnVKdOHa1evVobNmxQv3799NNPPykoKEiHDh1SVFSULl++bF9XRkaGUz9orcr+yy+/KDMz0+FNWrRoURUt6pyriLZu3aqWLVsqMjJScXFx8vDwUNmyZWWMcbh7xsGDB+Xv7y9J8vf3t18nfm2Zj4+PSpYsqYkTJ2rgwIEO28jIyFCJEiUKfP5Lly5p27ZtGjJkiEJDQ+2XVTRt2lRLliwp8PlLliyptWvXasGCBQ7byMzMdMo1/M7I7+vrq/Pnzzts4/q77xT0/NesWbNGjRo1clpuZ2Q/duyYMjIyHLZRmD57bva5WlDy38zv9+2PPPd2WJ1fkpYvX6527drppZde0htvvOHUfwW0Ov+SJUvUuXNnh7GCduy6mYSEhBx35nDWZ7/V2Z3+uW/Jr0oWct99953DnTheeOEFM2TIEJOZmWlSUlJM06ZNzYwZM4wxxixcuNBERUWZEydOmMuXL5uRI0eaJ5980mRnZ5usrCwTHR1t3n77bZORkWF++uknU7t2bbNgwYICn/3UqVMmNDTUvPfeeyYzM9MkJyebevXqmSlTplie+fDhw8Zms5lp06blWBYbG2t69uxpLl68aPbs2WPCw8PN119/bYwxZsaMGaZhw4bm559/tv8m/4gRI4wxxnz//fcmJCTEbN261WRmZprZs2eb8PBwc/r06UKR/3rnz5936l1EnJF/9erVpmrVqmb79u3m6tWrZvHixaZy5cpOuQuHM/Lv2bPHVKxY0SxcuNBkZWWZ+Ph4ExISYo4ePVoo8hvz290gAgICzNmzZy3P7Mzsn3/+uQkNDTU//vijycrKMgsWLDBVqlQpNK/9zT5XC0r+6z3//PMOd1I4deqUqVKliomPjzcZGRnmk08+MTVr1jTp6emFIv+2bdtMUFCQWb16teV5f88Z+VNSUkzlypXNsmXLTFZWllmzZo2x2WwmKSmpUOTfsWOHCQoKMl999ZXJysoyGzZsMJUrV7bfFaUgZz9+/Lix2Wzm448/NlevXjWbN282ISEhlmWnYJucJTUlJcW88MILxmazmZo1a5qJEyfal2VnZ5sRI0aY8PBwExoaanr06OFwO53Dhw+b9u3bm6pVq5qoqCgzc+bMQpP9hx9+MM8884ypWrWqqV27thk/frxTbtU0dOhQExAQYCpXruzwZ8SIEebcuXOmV69eJiwszERERJipU6fan5eVlWXGjh1rIiIiTGhoqOnfv7/DQWDJkiWmXr16pmrVqub55583e/futTy7M/Nf4+yC7az8M2bMMHXr1jUhISHmiSeeMN99912hyr9x40bzxBNPGJvNZho1amS++eabQpV/+/btJigoyCmZnZ39k08+MXXr1jVVqlQxLVu2NAkJCYUm/60+VwtC/uv9vmQYY8yWLVtMTEyMqVy5snnqqafMnj17Ck3+bt26mcDAwBzrvHZiqaDnN8aYDRs2mJiYGFOlShXTvHlzs2XLFsuzOzP/smXLTHR0tAkJCTENGjQwy5cvLzTZd+3aZZ577jlTtWpVU7duXUtPiLoY48RvQQEAAAD+ZrgGGwAAALAQBRsAAACwEAUbAAAAsBAFGwAAALAQBRsAAACwEAUbAAAAsBAFGwD+T69evfToo4/q3LlzOZZ99NFHstlsDt8YdicdP35cTz/9tIKCgvTqq6/mWD5mzBgFBgbm+qdOnTp52saePXu0ZcuWPM29evWqAgMDb/j18r9f3qdPH/Xq1euW6924caMCAwOVnp6epxx5MWXKFEVFRVm2PgD4Ped8Fy0AFEKvvfaaoqOjNXr0aL355pv28SNHjmj8+PHq3bu3ypQpcwcT/n9z587VsWPHtGjRIv3jH//IdU7FihX18ccf5xgvUqRInrbRuXNnde7cWWFhYX8qa24GDhxo+ToBoKCgYAPA//Hx8VHv3r315ptvqkWLFgoJCZEkDRkyRBUqVFDr1q3vcML/79dff1W5cuXk5+d3wzlFixaVj4/PbW/Dmd9DVqJECaetGwDuNC4RAYDrtGrVSiEhIRo8eLCMMfryyy+1YcMGDRkyRK6u//8jc/78+apXr55CQkLUvHlzh0sjrl69qnfffVe1a9dWxYoVVb16dQ0dOlRZWVmSfrs8om/fvmrRooXCwsK0efPmHDnS09P13nvvqU6dOqpUqZKeffZZJSYm2p8/depUfffddwoMDFRCQsJt7++4ceP0+OOPKzg4WE888YTWr18vSXrmmWd0/PhxDRo0SG3btpUkbd++Xa1bt5bNZlNwcLBatmypH3/80WF927dvV6NGjRQcHKwXX3xRx44dy3W7118icuHCBfXu3VvVqlWTzWZTx44dlZKS4jB/wYIF9teiffv2On78uH1ZUlKS2rdvr5CQENWpU0ejRo1SRkaGQ6Ynn3xSlSpVUuvWrXXy5Mnbfr0AIC8o2ABwHRcXF7355pvav3+/5s+frxEjRqhLly7y9/e3z/n66681bNgwvfzyy1q8eLFatGih7t272wvwxx9/rPj4eI0YMUIrV65U7969NX36dH311Vf2dSxevFht2rTRlClTVLly5Rw5Bg0apEWLFmnQoEFasGCBfH199eKLL+rUqVMaOHCgWrZsqdDQUK1fv95+pv2PWr58uWbOnKnRo0dr+fLlql69unr06KFLly7po48+ko+Pj/r06aOxY8fq4sWL6tixo4KDg7V48WJ9/vnn8vDw0KBBgxzWOW3aNPXs2VPz58+Xi4uLOnTooOzs7JvmGD16tI4dO6bp06dr3rx5ys7O1uuvv+4wZ+HChRo3bpxmzJihQ4cOadSoUZKkK1euqEOHDipXrpwWLFigYcOG2f9+JOnMmTPq0KGDgoKCtHDhQjVu3FhTp069rdcLAPKKS0QA4HcCAgLUtm1bDRw4UL6+vurUqZPD8vHjx6tjx46Kjo6WJJUtW1Y7d+7U5MmT7b9c+M477+iRRx6RJJUpU0affPKJkpKSFBkZKUny9/dXTExMrts/e/asvVA+/vjjkqTBgwcrISFBn332mWJjY+Xp6Sk3N7ebXgKyY8cO2Wy2HONdu3ZVx44dlZqaKnd3d91///26//77FRsbq/DwcBUtWlTFihWTq6urihcvrrvuuksnT55Up06d1K5dO/s13M8884z69u3rsO5OnTqpXr16kqRhw4apVq1a2rJli0JDQ2+YMzU1VcWKFVOZMmXk7e2toUOH6ujRow5zBg0apPLly0uSmjVrplWrVkn67QcVLy8v9e/fX5Lk6+urgQMH6oUXXlCfPn0UHx8vb29v9e/fX0WLFpWvr68SExPz/MubAHA7KNgAkIvu3btr4sSJ6tq1q9zc3ByWJSUladeuXfroo4/sY5mZmfaz3JGRkdq0aZOGDx+uQ4cOad++fUpNTbVfIiJJ//nPf2647YMHDyo7O9vhzHaRIkVks9l04MCBPO9DYGCgxo4dm2O8VKlSkn4rqosWLVLdunUVFBSk2rVrq0WLFvLw8MjxHB8fH7Vo0ULTp0/Xvn37lJycrD179uQ4O319offx8dG//vUvHThw4KYFu3PnznrppZf06KOPKiwsTJGR/6+9+wmJqgvjOP5VRDTGDHJhCA34BxeGQe7EFoELA02yWrhyoTuRFuFMDUEqY5ooLsSFokhBTUyGBPkPQR037rTA0WIYMMNpVNLAaJEzc99FeF9HzT+90+r9feAyF+6Ze+45s5jnXp7n3OIDNx8XL14091NSUsxVRXw+H8vLy1H9GoZBOBxmZWUFn89Hbm4uCQn//t3l5+crwBaRv0oBtojIIZKSkqI+9wqFQthsNvPp8q7dQLyzsxOXy0VFRQUlJSXY7Xbq6uoOPf9Rfe9nGMax6RZ7JSYmYrVaf3s8LS2NoaEhZmdn8Xg8DA4O8vTpU168eHGgeHJtbY1bt26Rk5NDUVERZWVlrK+v43A4otrtzVPfveb9Nyj7XblyhampKSYnJ5mZmaGjo4OXL1/idrvNNvtXPtktwAyHwxQUFOB0Og+cNz09PartruOuR0Tkv1IOtojIKWVmZhIIBLBareb29u1bRkZGAHC5XDgcDu7fv095eTnp6ekEAoETr8phtVpJSEiIKiCMRCK8f/+ezMzMmI1jdHSUV69ecfXqVR4+fMj4+DiJiYlmwWZcXJzZdmxsjKSkJAYGBqiurqawsJBgMHhgTB8/fjT319bWCAaDR650Ar/WGF9YWODGjRu0t7fjcrlYWlrC5/MdO4asrCyWl5e5cOGC+Vtsbm7S0dHBzs4Oubm5LC0tRRU9Li4unmh+RET+lAJsEZFTqqmp4fnz57jdblZWVnC5XHR3d5trZKempjI1NcWnT59YWFjg7t27fP/+PSrIO4rFYqGyspLmvd/DngAAAghJREFU5mZmZmbw+/00NjYSDAa5c+fOia8zFAqxsbFx6BaJRAiHw7S1tTExMcHq6irj4+NsbW1x6dIlAM6cOYPf7+fr16+cO3eOjY0NPB4Pq6urDA4O0tPTQyQSIRQKmX12dXUxPT3Nhw8fqK+v5/Lly0emhwB8+fIFp9PJ/Pw8nz9/ZmhoiLNnzx759H1XeXk5hmHw4MEDfD4fc3NzOBwOfv78icViobS0FMMwePToEX6/nzdv3vD69esTz6GIyJ9QioiIyCldv36db9++0dfXR1NTExkZGTQ2NlJSUgLAkydPaGpqoqysjPPnz1NcXExFRQVer/fEfdhsNuLj47Hb7fz48YP8/HyePXt2ZO72fl6vl6KiokOPeTweSktLCQQCtLS0sL6+TkZGBg0NDWZxZlVVFW1tbczPz+N2u3n37h02m41QKEROTg5Op5N79+7h9XrJy8sDfhU5Pn78mGAwSGFhYdQLe37HbrfT3NxMbW0t29vb5OXl0dvbi8ViOfa7FouF/v5+WltbuX37NsnJyVy7ds1MXUlNTWVgYICGhgZu3rxJdnY2VVVVDA8Pn3QaRUROLc74m28SEBERERH5n1GKiIiIiIhIDCnAFhERERGJIQXYIiIiIiIxpABbRERERCSGFGCLiIiIiMSQAmwRERERkRhSgC0iIiIiEkMKsEVEREREYugfinzVcWbYP7gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "sns.set_context('paper', font_scale=1.5)\n",
    "sns.set_style('darkgrid')\n",
    "sns.countplot(x='Year of Established',data=vendor_df,color='darkblue')\n",
    "plt.title('DSV Vendor Year established')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'DSV Vendor by Branch & Head Quater')"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "sns.set_context('paper', font_scale=1.5)\n",
    "sns.set_style('darkgrid')\n",
    "plt.legend(loc=0)\n",
    "sns.countplot(x='Branch',data=vendor_df, hue='Head Quarter')\n",
    "plt.title('DSV Vendor by Branch & Head Quater')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'DSV Vendor by Review List')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "sns.set_context('paper', font_scale=1.5)\n",
    "sns.set_style('darkgrid')\n",
    "plt.legend(loc=0)\n",
    "sns.countplot(x='Review List Check',data=vendor_df, hue='Branch')\n",
    "plt.title('DSV Vendor by Review List')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}