Visualizing Geographical Data with Scatterplots in Python.ipynb

Visualizing Geographical Data with Scatterplots in Python.ipynb

{
  "cells": [
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Visualizing Geographical Data with heatmaps, and scatter density maps in Python\n\n### New York Motor Vehicle Collisions Open Data - Visual Analysis of Persons Injured\n\n##### Question: How do we map incidents in New York city using just the longitude, latitude and number of motor incident values? \n\nData Source: https://data.cityofnewyork.us/Public-Safety/NYPD-Motor-Vehicle-Collisions/h9gi-nx95"
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": false
      },
      "cell_type": "code",
      "source": "#Created June 2017 @John Ryan\n#-------------------\n#Import required libs\n#-------------------\nimport pandas as pd\nimport seaborn as sns\nimport numpy as np\nimport matplotlib.pyplot as plt\n%matplotlib inline\ndata = pd.read_csv(\"C://Clusters//NYPD_Motor_Vehicle_Collisions_sample.csv\")",
      "execution_count": 89,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": false
      },
      "cell_type": "code",
      "source": "from IPython.display import Image\nImage(\"C:\\\\Clusters\\\\new-york-city.PNG\",  width=500, height=600)\nsource: www.pixabay.com",
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {