When you map the right data, you can find fascinating insights. Simple analyses shown on a map can help you see patterns you couldn't see elsewhere, which can help you make decisions. Adam Mullett and Dion Fleming join Sarah Butler to discuss their analysis which uses a map to help answer the question of where it is best to use ride-sharing instead of a taxi.
In this episode:
0:30 What is the analysis you performed?
1:44 What did you learn from the analysis?
4:05 Why is a map the best way to show and share this data?
7:18 What do you need in order to do analysis like this and how hard is it to take it to the next level?
9:33 If people want to learn more about this, what are some of the tools they can look up to get themselves started?
Links:
Open data sources from government - https://www.data.gov.au
CARTO 5 - https://go.carto.com/subscribe-to-the-carto-5
80 Data Visualization Examples Using Location Data and Maps - https://carto.com/blog/eighty-data-visualizations-examples-using-location-data-maps/
Uber developer console - https://developer.uber.com/docs/riders/references/api/v1.2/estimates-price-get
