In this post I explain how to use Google Maps APIs to retrieve useful information out of Google Maps. The use case scenario could be getting address, postal code, etc. from existing latitude and longitude values. The data could be generated by any sort of GPS tracking device like your Garmin cycling GPS computer, your Fitbit watch etc. I know you can load your GPS tracking data into athletic social networks to analyse your activities. But, if you want to do some more specific data analytics like in which area of the city you created more power during your cycling activities then those websites might not give you what you want for free.
For instance, you can export your device data to CSV then import and append all CSV files into a Power BI model and create amazing analytical reports. How to import your CSV files into a Power BI model is out of scope of this article so I leave it to you for any further investigations.
GPS tracking devices are creating lots of data including geographic coordinates which can be easily used in Power BI. You can simply put latitude and longitude on a Map visualisation and you’re good to go.
You can also concatenate the latitude and longitude data and use it as Location in your Map visualisation.
This can be done from Query Editor in M language.
But, in some cases you need some more geo-information like Country, City, Post Code and Street Address in a table as well. Or you might want to use postal code in a slicer. In this article I show you how to get all of these information out of Google Maps by passing existing coordinates to Google Maps geocoding API.
Continue reading “Power BI and Google Maps API (Address Lookup)”
) rather than a normal table icon (
) which makes the measure groups more recognisable for the end users. For instance, you can easily find any calculated measure related to “Internet Sales” under the “Internet Sales” measure group.
