Map Your Community!

Do you want to know how safe your community is and how it compares to other communities in Montgomery County? You can visualize this information using a region map. In this example, you will be walking through the steps to plot on a map crime incidents by communities.  We are using the Crime dataset from the dataMontgomery catalog to illustrate this example.
Go to the dataMontgomery website to access the Crime data set to work through this tutorial.
Note: Maps can only be plotted for datasets which have a 'Location' column.
Are you new to dataMontgomery?  Please, review this How To Tutorial to learn how to access and use an open data set.
Step 1: Open the visualization canvas
From the Crime data set page, select the Visualize option on the top right hand corner.  Then in the 'Chart' section select the 'Launch New Visualization' option.
LaunchNewVisualization
Choose a name for your new visualization and select "Create Visualization".
CreateNewVisualization
Step 2: Setup for creating a Map
Select the 'Map' icon from the list of available plotting options.  Then select the 'Location' column from the Geo Column in the Data Selection menu.
MappingSetup
Step 3: Plotting your community
dataMontgomery provides the option to create plots with data items aggregated by communities, zip codes, councils or municipalities! For this example, we will be plotting by communities.
Select the 'Communities' option from the Region box in the Data Selection menu to map by community.
The resulting region map shows crime incidents aggregated by Community.
MapPlottingByCommunity
Step 4: Adding Filter to Map 
You can also filter your map for specific crimes like 'simple assault on citizens.' To filter your map for specific crimes, click on 'Add a Filter' and select the 'Crime 2' column.  
SelectingFilterOption
Step 5: Adding condition for Filtering
Click on the 'Crime Name 2' filter and set option to 'IS'.  Then select 'Simple Assault', then click on Apply.
The region map will automatically refresh to show data aggregated by community.
You can compare and contrast the number of incidents in and near your community.  As you move your pointer over the communities, you will see a fly out showing details for each community.
AddingFilterConditionAndFlyout

This is the resulting visualization obtained in this example. Click on the View Source Data link below to try it yourself! 

Try this visualization challenge!

Create a heat map for food inspections in your city.
  • Use the ‘Food Inspection’ data set to create the visualization.
  • Hint: Filter the dataset by your city name.

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