Lately I’ve been having a lot of fun making maps in Tableau (What? Everybody doesn’t make data visualizations for fun?). Tableau is a pricy piece of software but you can use Tableau Public for free (and if you are a charity in Canada you can get the desktop version at a very, very discounted rate through TechSoup).
Mapping data is a skill that I’ve been wanting to build for awhile. Lately I’ve been working with community health data and bar charts can only tell me so much. Seeing the data on a map has made a world of difference.
In order to try out working with maps I downloaded data from Toronto’s open data catalogue. The first map I made was a schematic of Toronto’s subway (the TTC). I adjusted the size of the circles representing stations to show the number of daily riders and added a filter so that the viewer could drill down on a specific subway line. Much more interesting than simply looking at a bar chart that lists each stop, right?
Next up I took a look at service calls place to 311 (the customer service department of Toronto). You can see that some areas of the city have quite a high call volume whereas other areas are relatively low. If you click on a specific area of the map the bar chart below will automatically filter to show you the top 10 reasons for service calls originating in that area. What strikes me the most is that throughout the city the most common reason for calling 311 by far is issues surrounding garbage, recycling, and compost bins.
The third map that I want to share is neighbourhood safety. I took a look at major crimes and other safety-related incidents by Toronto neighbourhood. The data is a little old (2011) but you can instantly see that the majority of incidents are concentrated in a few neighbourhoods. You can filter the map by incident type on the right. Changing incident map changes the map pretty drastically. For example, filter on murder and you can see that the red areas change. Like the 311 map, clicking on a neighbourhood will filter the bar chart below.
So far I’ve been having a lot of success with these interactive maps. It is much easier for people to instantly see and understand the data vs. having to look at a chart and then convert the words into geography in their head.
What about you – what has been your experience with presenting geospatial data?