{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# IBM Data Science Capstone Project\n",
    "## New York City Current Job Postings Exploration\n",
    "### by Nuttaphat Arunoprayoch\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Objectives\n",
    "Looking for a job to earn a living is challenging and time consuming, and it might not end up well as expected. Therefore, in order to effectively plan for a career, one must know which career path should be taken. This report analyses job opening positions in NY, USA with a hope that it may be useful individually and socially.\n",
    "\n",
    "### Data\n",
    "the data was derived from https://www.kaggle.com/new-york-city/new-york-city-current-job-postings; its metadata can be found at the link provided.\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Libraries and Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Standard Libraries\n",
    "import requests\n",
    "import calendar\n",
    "from dateutil import parser\n",
    "import json, requests\n",
    "from IPython.display import display, HTML, clear_output, IFrame\n",
    "\n",
    "# Data Manipulation\n",
    "from pandas.io.json import json_normalize\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import pandas_profiling\n",
    "\n",
    "# Data Visualization\n",
    "%matplotlib inline\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from pywaffle import Waffle\n",
    "\n",
    "mpl.style.use(['ggplot']) # optional: for ggplot-like style\n",
    "sns.set(rc={'figure.figsize':(11.7,8.27)})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "code_show=true; \n",
       "function code_toggle() {\n",
       " if (code_show){\n",
       " $('div.input').hide();\n",
       " } else {\n",
       " $('div.input').show();\n",
       " }\n",
       " code_show = !code_show\n",
       "}\n",
       "$( document ).ready(code_toggle);\n",
       "</script>\n",
       "<form action=\"javascript:code_toggle()\"><input type=\"submit\" value=\"Click here to toggle on/off the raw code.\"></form>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Hide code cells for clean presentation and import display table\n",
    "\n",
    "HTML('''<script>\n",
    "code_show=true; \n",
    "function code_toggle() {\n",
    " if (code_show){\n",
    " $('div.input').hide();\n",
    " } else {\n",
    " $('div.input').show();\n",
    " }\n",
    " code_show = !code_show\n",
    "}\n",
    "$( document ).ready(code_toggle);\n",
    "</script>\n",
    "<form action=\"javascript:code_toggle()\"><input type=\"submit\" value=\"Click here to toggle on/off the raw code.\"></form>''')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Geolocation Libraries\n",
    "from geopy.geocoders import Nominatim # module to convert an address into latitude and longitude values\n",
    "import folium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set FourSquare\n",
    "CLIENT_ID = '#' # your Foursquare ID\n",
    "CLIENT_SECRET = '#' # your Foursquare Secret\n",
    "VERSION = '20180604'\n",
    "LIMIT = 30"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('dataset/new-york-city-current-job-postings/nyc-jobs.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>Job ID</th>\n",
       "      <th>Agency</th>\n",
       "      <th>Posting Type</th>\n",
       "      <th># Of Positions</th>\n",
       "      <th>Business Title</th>\n",
       "      <th>Civil Service Title</th>\n",
       "      <th>Title Code No</th>\n",
       "      <th>Level</th>\n",
       "      <th>Job Category</th>\n",
       "      <th>Full-Time/Part-Time indicator</th>\n",
       "      <th>...</th>\n",
       "      <th>Additional Information</th>\n",
       "      <th>To Apply</th>\n",
       "      <th>Hours/Shift</th>\n",
       "      <th>Work Location 1</th>\n",
       "      <th>Recruitment Contact</th>\n",
       "      <th>Residency Requirement</th>\n",
       "      <th>Posting Date</th>\n",
       "      <th>Post Until</th>\n",
       "      <th>Posting Updated</th>\n",
       "      <th>Process Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>87990</td>\n",
       "      <td>DEPARTMENT OF BUSINESS SERV.</td>\n",
       "      <td>Internal</td>\n",
       "      <td>1</td>\n",
       "      <td>Account Manager</td>\n",
       "      <td>CONTRACT REVIEWER (OFFICE OF L</td>\n",
       "      <td>40563</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Salary range for this position is: $42,405 - $...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York City residency is generally required ...</td>\n",
       "      <td>2011-06-24T00:00:00.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2011-06-24T00:00:00.000</td>\n",
       "      <td>2019-07-30T00:00:00.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>97899</td>\n",
       "      <td>DEPARTMENT OF BUSINESS SERV.</td>\n",
       "      <td>Internal</td>\n",
       "      <td>1</td>\n",
       "      <td>EXECUTIVE DIRECTOR, BUSINESS DEVELOPMENT</td>\n",
       "      <td>ADMINISTRATIVE BUSINESS PROMOT</td>\n",
       "      <td>10009</td>\n",
       "      <td>M3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>F</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>In addition to applying through this website, ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York City residency is generally required ...</td>\n",
       "      <td>2012-01-26T00:00:00.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012-01-26T00:00:00.000</td>\n",
       "      <td>2019-07-30T00:00:00.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>132292</td>\n",
       "      <td>NYC HOUSING AUTHORITY</td>\n",
       "      <td>External</td>\n",
       "      <td>52</td>\n",
       "      <td>Maintenance Worker - Technical Services-Heatin...</td>\n",
       "      <td>MAINTENANCE WORKER</td>\n",
       "      <td>90698</td>\n",
       "      <td>0</td>\n",
       "      <td>Maintenance &amp; Operations</td>\n",
       "      <td>F</td>\n",
       "      <td>...</td>\n",
       "      <td>1.  A Motor Vehicle Driver’s License valid i...</td>\n",
       "      <td>Click the \"Apply Now\" button.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYCHA has no residency requirements.</td>\n",
       "      <td>2013-10-24T00:00:00.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013-12-12T00:00:00.000</td>\n",
       "      <td>2019-07-30T00:00:00.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>132292</td>\n",
       "      <td>NYC HOUSING AUTHORITY</td>\n",
       "      <td>Internal</td>\n",
       "      <td>52</td>\n",
       "      <td>Maintenance Worker - Technical Services-Heatin...</td>\n",
       "      <td>MAINTENANCE WORKER</td>\n",
       "      <td>90698</td>\n",
       "      <td>0</td>\n",
       "      <td>Maintenance &amp; Operations</td>\n",
       "      <td>F</td>\n",
       "      <td>...</td>\n",
       "      <td>1.  A Motor Vehicle Driver’s License valid i...</td>\n",
       "      <td>Click the \"Apply Now\" button.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYCHA has no residency requirements.</td>\n",
       "      <td>2013-10-24T00:00:00.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013-12-12T00:00:00.000</td>\n",
       "      <td>2019-07-30T00:00:00.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>133921</td>\n",
       "      <td>NYC HOUSING AUTHORITY</td>\n",
       "      <td>Internal</td>\n",
       "      <td>50</td>\n",
       "      <td>Temporary Painter</td>\n",
       "      <td>PAINTER</td>\n",
       "      <td>91830</td>\n",
       "      <td>0</td>\n",
       "      <td>Maintenance &amp; Operations</td>\n",
       "      <td>F</td>\n",
       "      <td>...</td>\n",
       "      <td>SPECIAL NOTE:    1.  This is a temporary assig...</td>\n",
       "      <td>Click the \"Apply Now\" button.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYCHA has no residency requirement.</td>\n",
       "      <td>2014-01-09T00:00:00.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014-01-08T00:00:00.000</td>\n",
       "      <td>2019-07-30T00:00:00.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Job ID                        Agency Posting Type  # Of Positions  \\\n",
       "0   87990  DEPARTMENT OF BUSINESS SERV.     Internal               1   \n",
       "1   97899  DEPARTMENT OF BUSINESS SERV.     Internal               1   \n",
       "2  132292         NYC HOUSING AUTHORITY     External              52   \n",
       "3  132292         NYC HOUSING AUTHORITY     Internal              52   \n",
       "4  133921         NYC HOUSING AUTHORITY     Internal              50   \n",
       "\n",
       "                                      Business Title  \\\n",
       "0                                    Account Manager   \n",
       "1           EXECUTIVE DIRECTOR, BUSINESS DEVELOPMENT   \n",
       "2  Maintenance Worker - Technical Services-Heatin...   \n",
       "3  Maintenance Worker - Technical Services-Heatin...   \n",
       "4                                  Temporary Painter   \n",
       "\n",
       "              Civil Service Title Title Code No Level  \\\n",
       "0  CONTRACT REVIEWER (OFFICE OF L         40563     1   \n",
       "1  ADMINISTRATIVE BUSINESS PROMOT         10009    M3   \n",
       "2              MAINTENANCE WORKER         90698     0   \n",
       "3              MAINTENANCE WORKER         90698     0   \n",
       "4                         PAINTER         91830     0   \n",
       "\n",
       "               Job Category Full-Time/Part-Time indicator  ...  \\\n",
       "0                       NaN                           NaN  ...   \n",
       "1                       NaN                             F  ...   \n",
       "2  Maintenance & Operations                             F  ...   \n",
       "3  Maintenance & Operations                             F  ...   \n",
       "4  Maintenance & Operations                             F  ...   \n",
       "\n",
       "                              Additional Information  \\\n",
       "0  Salary range for this position is: $42,405 - $...   \n",
       "1                                                NaN   \n",
       "2  1.  A Motor Vehicle Driver’s License valid i...   \n",
       "3  1.  A Motor Vehicle Driver’s License valid i...   \n",
       "4  SPECIAL NOTE:    1.  This is a temporary assig...   \n",
       "\n",
       "                                            To Apply Hours/Shift  \\\n",
       "0                                                NaN         NaN   \n",
       "1  In addition to applying through this website, ...         NaN   \n",
       "2                      Click the \"Apply Now\" button.         NaN   \n",
       "3                      Click the \"Apply Now\" button.         NaN   \n",
       "4                      Click the \"Apply Now\" button.         NaN   \n",
       "\n",
       "  Work Location 1 Recruitment Contact  \\\n",
       "0             NaN                 NaN   \n",
       "1             NaN                 NaN   \n",
       "2             NaN                 NaN   \n",
       "3             NaN                 NaN   \n",
       "4             NaN                 NaN   \n",
       "\n",
       "                               Residency Requirement             Posting Date  \\\n",
       "0  New York City residency is generally required ...  2011-06-24T00:00:00.000   \n",
       "1  New York City residency is generally required ...  2012-01-26T00:00:00.000   \n",
       "2               NYCHA has no residency requirements.  2013-10-24T00:00:00.000   \n",
       "3               NYCHA has no residency requirements.  2013-10-24T00:00:00.000   \n",
       "4                NYCHA has no residency requirement.  2014-01-09T00:00:00.000   \n",
       "\n",
       "  Post Until          Posting Updated             Process Date  \n",
       "0        NaN  2011-06-24T00:00:00.000  2019-07-30T00:00:00.000  \n",
       "1        NaN  2012-01-26T00:00:00.000  2019-07-30T00:00:00.000  \n",
       "2        NaN  2013-12-12T00:00:00.000  2019-07-30T00:00:00.000  \n",
       "3        NaN  2013-12-12T00:00:00.000  2019-07-30T00:00:00.000  \n",
       "4        NaN  2014-01-08T00:00:00.000  2019-07-30T00:00:00.000  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "\n",
    "## Data pre-processing and Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "headers = df.columns.tolist()\n",
    "# headers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Select only Annual Paying\n",
    "df = df[df['Salary Frequency'] == 'Annual']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                                    Salary Range From  \\\n",
      "Business Title                                                          \n",
      "Deputy Commissioner, Bureau of Customer Services             218587.0   \n",
      "Deputy Commissioner, Water and Sewer Operations              209585.0   \n",
      "DHS FIRST DEPUTY COMMISSIONER                                200931.0   \n",
      "Executive Deputy Commissioner of Operations                  200000.0   \n",
      "BUDGET ANALYST (OMB)-MANAGERIA                               180472.0   \n",
      "Deputy Commissioner, Wastewater Treatment                    198518.0   \n",
      "Deputy Commissioner, Office of Development                   180000.0   \n",
      "Deputy Commissioner, Office of Policy and Strategy           180000.0   \n",
      "Chief Compliance Officer                                     185000.0   \n",
      "Assistant Commissioner, Capital Planning & Deli...           175000.0   \n",
      "\n",
      "                                                    Salary Range To  \\\n",
      "Business Title                                                        \n",
      "Deputy Commissioner, Bureau of Customer Services           218587.0   \n",
      "Deputy Commissioner, Water and Sewer Operations            209585.0   \n",
      "DHS FIRST DEPUTY COMMISSIONER                              214848.0   \n",
      "Executive Deputy Commissioner of Operations                210000.0   \n",
      "BUDGET ANALYST (OMB)-MANAGERIA                             225217.0   \n",
      "Deputy Commissioner, Wastewater Treatment                  198518.0   \n",
      "Deputy Commissioner, Office of Development                 201121.0   \n",
      "Deputy Commissioner, Office of Policy and Strategy         201121.0   \n",
      "Chief Compliance Officer                                   195000.0   \n",
      "Assistant Commissioner, Capital Planning & Deli...         190000.0   \n",
      "\n",
      "                                                    avg_salary  \n",
      "Business Title                                                  \n",
      "Deputy Commissioner, Bureau of Customer Services      218587.0  \n",
      "Deputy Commissioner, Water and Sewer Operations       209585.0  \n",
      "DHS FIRST DEPUTY COMMISSIONER                         207889.5  \n",
      "Executive Deputy Commissioner of Operations           205000.0  \n",
      "BUDGET ANALYST (OMB)-MANAGERIA                        202844.5  \n",
      "Deputy Commissioner, Wastewater Treatment             198518.0  \n",
      "Deputy Commissioner, Office of Development            190560.5  \n",
      "Deputy Commissioner, Office of Policy and Strategy    190560.5  \n",
      "Chief Compliance Officer                              190000.0  \n",
      "Assistant Commissioner, Capital Planning & Deli...    182500.0  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xe5cd690>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_grp = df.groupby('Business Title')['Salary Range From', 'Salary Range To'].mean()\n",
    "df_grp['avg_salary'] = (df_grp['Salary Range From'] + df_grp['Salary Range To']) / 2\n",
    "df_grp = df_grp.sort_values(by=['avg_salary'], ascending=False)\n",
    "\n",
    "print(df_grp.head(10))\n",
    "df_grp['avg_salary'].hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As can be seen, the average annual salary is ranged mostly between 50000 and 90000 USD. And the most frequently-paid salary per year is about 60000 USD; which means 5000 USD per month in New York city."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              Business Title  counts\n",
      "0            Project Manager      38\n",
      "1   Assistant Civil Engineer      26\n",
      "2        ACCOUNTABLE MANAGER      26\n",
      "3   Engineering Technician I      20\n",
      "4                   Director      20\n",
      "5  Assistant General Counsel      19\n",
      "6             Budget Analyst      14\n",
      "7      Community Coordinator      14\n",
      "8               Investigator      14\n",
      "9  Confidential Investigator      14\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Waffle size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_count = df.groupby('Business Title').size().reset_index(name='counts')\n",
    "df_count_top_10 = df_count.sort_values(by=['counts'], ascending=False)[:10].reset_index(drop=True)\n",
    "\n",
    "keys = [i for i in df_count_top_10['Business Title']]\n",
    "values = [i for i in df_count_top_10['counts']]\n",
    "waffle_data = dict(zip(keys, values))\n",
    "\n",
    "ax = plt.figure(\n",
    "    FigureClass=Waffle, \n",
    "    rows=10, \n",
    "    values=waffle_data,\n",
    "    legend={'loc': 'upper left', 'bbox_to_anchor': (1.1, 1)}\n",
    ")\n",
    "\n",
    "plt.title('Top 10 Wanted Positions')\n",
    "print(df_count_top_10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The waffle chart above indicates that the most wanted position is <b>Project manager</b> followed by <b>Assistant Civil Engineer</b>, <b>Accoutable Manager</b>, and so on. Additionally, as can be observed, the positions are widely ranged from various professional areas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_job = df.groupby('Job Category').size().reset_index(name='counts')\n",
    "df_job_top_10 = df_job.sort_values(by=['counts'], ascending=False)[:10].set_index('Job Category')\n",
    "\n",
    "ax = df_job_top_10.plot(kind='barh')\n",
    "ax.invert_yaxis()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "According to the collected data, the most wanted job areas are <b>Engineering</b>, closely followed by <b> Techonology and Data Related Job</b>. Therefore, one should be considering taking a career path in Engineering and Technology seriously."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                                   Salary Range From  \\\n",
      "new Job Category                                                       \n",
      "Administration & Human Resources Finance                    218587.0   \n",
      "Administration & Human Resources Constituent                200000.0   \n",
      "Communications & Intergovernmental Affairs                  180472.0   \n",
      "Engineering, Architecture, & Planning Maintenance           198518.0   \n",
      "Engineering, Architecture, & Planning Finance               192292.5   \n",
      "\n",
      "                                                   Salary Range To       avg  \n",
      "new Job Category                                                              \n",
      "Administration & Human Resources Finance                  218587.0  218587.0  \n",
      "Administration & Human Resources Constituent              210000.0  205000.0  \n",
      "Communications & Intergovernmental Affairs                225217.0  202844.5  \n",
      "Engineering, Architecture, & Planning Maintenance         198518.0  198518.0  \n",
      "Engineering, Architecture, & Planning Finance             199792.5  196042.5  \n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_job_salary = df.groupby('Job Category')['Salary Range From', 'Salary Range To'].mean()\n",
    "df_job_salary['avg'] = (df_job_salary['Salary Range From'] + df_job_salary['Salary Range To']) / 2\n",
    "df_job_salary = df_job_salary.sort_values(by=['avg'], ascending=False)[:5]\n",
    "df_job_salary['new Job Category'] = ['Administration & Human Resources Finance',\n",
    "                                'Administration & Human Resources Constituent',\n",
    "                                'Communications & Intergovernmental Affairs',\n",
    "                                'Engineering, Architecture, & Planning Maintenance',\n",
    "                                'Engineering, Architecture, & Planning Finance']\n",
    "df_job_salary = df_job_salary.set_index('new Job Category')\n",
    "print(df_job_salary.head())\n",
    "\n",
    "ax = df_job_salary['avg'].plot.bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Furthermore, the most well-paid job areas including <b> Administration, HR, Accounting, Legal, Engineering, Architecture, etc. </b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xaee5af0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_date = df[['Job Category', 'Posting Date']].dropna().reset_index(drop=True)\n",
    "df_date['Posting Date'] = df_date['Posting Date'].apply(lambda s: parser.parse(s))\n",
    "df_date['month'] = df_date['Posting Date'].apply(lambda t: calendar.month_name[t.month])\n",
    "df_date['year'] = df_date['Posting Date'].apply(lambda t: t.year)\n",
    "\n",
    "df_date_grp = df_date.groupby(['month', 'year'])['Job Category'].size().reset_index(name='counts')\n",
    "df_date_grp = df_date_grp.sort_values(by=['month'])\n",
    "\n",
    "df_date_grp = df_date_grp.pivot('month', 'year', 'counts')\n",
    "sns.heatmap(df_date_grp, annot=True, fmt='.2f', linewidths=.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Additionally, the job seekers should bear in mind that positions are widely in <b> May, June, July </b>. Hence, it is a good time for applying for your desired positions. Especially, in <b> July </b> which holds a significantly high number of job posting (2019)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "NY_area = list(set(df['Work Location'].tolist())) # Gather Work Locations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "latitude, longitude = 40.7128, -74.0060\n",
    "search_query = 'Coffee'\n",
    "radius = 500\n",
    "\n",
    "url = 'https://api.foursquare.com/v2/venues/search?client_id={}&client_secret={}&ll={},{}&v={}&query={}&radius={}&limit={}'.format(CLIENT_ID, CLIENT_SECRET, latitude, longitude, VERSION, search_query, radius, LIMIT)\n",
    "results = requests.get(url).json()\n",
    "\n",
    "# assign relevant part of JSON to venues\n",
    "venues = results['response']['venues']\n",
    "\n",
    "# tranform venues into a dataframe\n",
    "dataframe = json_normalize(venues)\n",
    "# dataframe.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "# keep only columns that include venue name, and anything that is associated with location\n",
    "filtered_columns = ['name', 'categories'] + [col for col in dataframe.columns if col.startswith('location.')] + ['id']\n",
    "dataframe_filtered = dataframe.loc[:, filtered_columns]\n",
    "\n",
    "# function that extracts the category of the venue\n",
    "def get_category_type(row):\n",
    "    try:\n",
    "        categories_list = row['categories']\n",
    "    except:\n",
    "        categories_list = row['venue.categories']\n",
    "        \n",
    "    if len(categories_list) == 0:\n",
    "        return None\n",
    "    else:\n",
    "        return categories_list[0]['name']\n",
    "\n",
    "# filter the category for each row\n",
    "dataframe_filtered['categories'] = dataframe_filtered.apply(get_category_type, axis=1)\n",
    "\n",
    "# clean column names by keeping only last term\n",
    "dataframe_filtered.columns = [column.split('.')[-1] for column in dataframe_filtered.columns]\n",
    "\n",
    "# dataframe_filtered"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And just in case, you're in New York City and looking for a job. I would recommend you to warm up your day by taking a good cup of coffee before your interview or else. Enjoy your day."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
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</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x5f73d70>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venues_map = folium.Map(location=[latitude, longitude], zoom_start=13) # generate map centred around the Conrad Hotel\n",
    "\n",
    "# add a red circle marker to represent the Conrad Hotel\n",
    "folium.features.Marker(\n",
    "    [latitude, longitude],\n",
    "    radius=10,\n",
    "    color='red',\n",
    "    popup='Conrad Hotel',\n",
    "    fill = True,\n",
    "    fill_color = 'red',\n",
    "    fill_opacity = 0.6\n",
    ").add_to(venues_map)\n",
    "\n",
    "# add the Italian restaurants as blue circle markers\n",
    "for lat, lng, label in zip(dataframe_filtered.lat, dataframe_filtered.lng, dataframe_filtered.categories):\n",
    "    folium.features.Marker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        color='blue',\n",
    "        popup=label,\n",
    "        fill = True,\n",
    "        fill_color='blue',\n",
    "        fill_opacity=0.6\n",
    "    ).add_to(venues_map)\n",
    "\n",
    "\n",
    "# display map\n",
    "venues_map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "\n",
    "## Summary\n",
    "\n",
    "Exploratoy Data Analysis reveals various interesting points from the job market. It is clearly that <b>Project Managers</b> were highlly wanted. Furthermore, the area of <b>Engineering and Technology </b> have frequently dominated the job market in NY city.\n",
    "\n",
    "In a nutshell, <b>Engineering and Technology</b> career might give you an upper-hand in job searching, and don't forget to apply a job during May, June, July for better chance of getting a job due to its high number of job posting. Good luck."
   ]
  }
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