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Anonymous's avatar
Anonymous
Not applicable
6 years ago

Filled Map has gaps

I'm using the google community mobility dataset and want to visualise the data using the "filled map" visual. Mostly, it works fine. Some regions though have gaps, either because they are being mistaken as cities or countries or because they're not being found altogether.

 

"North Rhine-Westphalia" for example isn't visualised at all unless I recode the data to "NRW". "Canton of Zug" is mistaken for the city "Zug" unless I recode it as "Kanton Zug".

 

When I search the regions using Bing Maps though I always get the correct result. Also, I get different results in Power BI Desktop versus published online Power BI reports.

4 Replies

  • Anonymous check this post for tips and tricks on Power BI visualization hope it helps.

     

    I would  Kudos if my solution helped. 👉 If you can spend time posting the question, you can also make efforts to give Kudos whoever helped to solve your problem. It is a token of appreciation!

     

     

    • Anonymous's avatar
      Anonymous
      Not applicable

      thanks parry2k , I did try the first and second tip but setting the category to "County" or "State or Province" made it worse. Power BI then puts Kent to Kentucky and half of the UK becomes "Redcar and Cleveland".  Also, I'm not sure how to go about the second tip. I classified the Country in the dataset accordingly and added it to the location hierarchy of the visual. Is that all you need to do? I'd imagine that you somehow have to add it to the more finegranular region column for it to be used?

  • dax's avatar
    dax
    Icon for Community Support rankCommunity Support

    Hi Anonymous , 

    I download the global dataset in above link to test this, I could find "North Rhine-Westphalia" in Germany(is it should in Germany?). You could change category like below to see whether it works or not

    Best Regards,
    Zoe Zhi

    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.