Since it is showing each date on the X axis it is not able to display the entire chart without scrolling. Is there a way to change the X axis spacing to say 2 days instead of 1 day? X Axis has Categorical Type.
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X axis interval length
I am plotting the TSA Checkpoint throughput data available at https://www.tsa.gov/coronavirus/passenger-throughput using Power BI. I have restricted the data from March 1st until the latest available date and the X axis has the date values. Chart as it looks now is at https://imgur.com/a/mbYBWrF
You can add columns to your table to get week, month, etc. Here is a quick way to get approximately half the number of dates in a calculated column (use your Date column instead of what is shown), and when you use it on the X axis, use a SUM( ) measure (so both rows with that "date" are added)..
OddDays = If(ISODD(Day('Date'[Date])), 'Date'[Date], 'Date'[Date]-1)If this works for you, please mark it as the solution. Kudos are appreciated too. Please let me know if not.
Regards,
Pat
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You can add columns to your table to get week, month, etc. Here is a quick way to get approximately half the number of dates in a calculated column (use your Date column instead of what is shown), and when you use it on the X axis, use a SUM( ) measure (so both rows with that "date" are added)..
OddDays = If(ISODD(Day('Date'[Date])), 'Date'[Date], 'Date'[Date]-1)If this works for you, please mark it as the solution. Kudos are appreciated too. Please let me know if not.
Regards,
Pat
Suggested solution is not exact since it causes averaging of values.
it's not averaging, it's aggregating. I think it's a wholly acceptable solution. The ask was to show more of your data in the visual. You can either have day level granularity and only plot a small part of the data, or you can have week level granularity and show 7x as much etc.
You could consider adding a date hierarchy so that the aggregations happen automatically, and you still have the option to drill down in the hierarchy as needed.
Have you got the solution for this ever? It looks simple but so tricky to get exact values.
