Comments
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hey @user0010231, for this map I did two-level mapping 1. From post code to city name and state name (clean up of city name and state name) 2. From post code to lat and long For the second mapping, you can find the mapping file here > https://www.aggdata.com/free/australia-postal-codes
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@RGranada, yes that is right, the data structure looks like the table below Currently, it is displaying all points as a different colour, was wondering if we can 'group' the colours, to display all 'Australia' as one colour, all 'Singapore' as another, etc Post /…
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Hi @RGranada, Thanks for helping! The series used in the card are the different posts from facebook Each post belongs to a country Regards, mylee
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Thank you! This is really cool and the video is very helpful
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Hi @Wolfram, @amnel, Thanks for the solution. I tried @Wolfram method but it still doesn't zoom in enough to get a meaningful understanding of the data. For instance, I have a large cluster near Sydney and Newcastle but I am not able to zoom in to see which location have the highest number of orders. Any ideas on how to…
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You are amazing Godiepi, thank you very much!!
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Thanks HTH for answering! In your solution, there will be many different filters for each country, one for Poland, one for Germany, etc, each with a binary outcome, yes or no. Do you know if there's any possibility to merge the different filters into a single filter? Such that in this one filter, if I click on Poland, it…
