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kbdw's avatar
kbdw
New Member
3 years ago

Wind Direction Aster Plot

Hello,

 

I am trying to create an aster plot (or similar) showing wind direction at a weather station. The measurements were every 15 minutes, from which I have created an average daily measurement. I have then created a column converting the measurement (presented in degrees) into a direction i.e. N, E, NW, SSW etc. Therefore I want to present a plot of showing the number of averaged days within each category of wind speed direction. Below shows my output so far.

 

 

There are two main issues with this output :

 

  • I cannot sort the "order" of direction categories on the plot to match the compass layout.
  • Any direction categories without any datapoints e.g., N, NE, do not plot at all.

 

Hope someone can assist.

 

11 Replies

  • both issues can be mitigated. Easiest is to have  a static dimension table with all desired directions in the right order (add an index column if needed and "sort a column by another column").  Then choose the direction from that table and say "show items with no data".

     

    Please provide sample data that fully covers your issue.
    Please show the expected outcome based on the sample data you provided.

    • kbdw's avatar
      kbdw
      New Member

      Thank you for your response. I'm a beginner to Power BI so please let me know if any further information is needed.

       

      Below is a sample dataset showing the daily averaged wind direction in degrees, converted to a direction.

       

      Dt.1CountDirection

      20/06/2023218.255102SW
      19/06/2023225.3489583SW
      18/06/2023204.5104167SSW
      17/06/2023194.9947917SSW
      16/06/2023198.8020833SSW
      15/06/2023179.8125S
      14/06/2023191.6041667SSW
      13/06/2023197.2447917SSW
      12/06/2023185.725625S
      11/06/2023184.21875S
      10/06/2023183.609375S
      9/06/2023118.2463542ESE
      8/06/202389.62833333E
      7/06/2023128.9645833SE
      6/06/2023168.300625SSE
      5/06/2023207.6360417SSW
      4/06/2023246.9727083WSW
      3/06/2023286.3077083WNW
      2/06/2023297.9644792WNW
      1/06/2023211.5104167SSW
      31/05/2023199.5104167SSW
      30/05/2023228.2552083SW
      29/05/2023278.5677083W
      28/05/2023208.4166667SSW
      27/05/2023193.6979167SSW
      26/05/2023214.1041667SW
      25/05/2023188.5729167S
      24/05/2023190.0677083S
      23/05/2023189.8020833S
      22/05/2023198.7135417SSW
      21/05/2023201.9947917SSW
      20/05/2023229.9427083SW
      19/05/2023217.9583333SW
      18/05/2023209.640625SSW
      17/05/2023177.4895833S
      16/05/2023190.2291667S
      15/05/2023189.8385417S
      14/05/2023187.9895833S
      13/05/2023188.953125S
      12/05/2023208.9166667SSW
      11/05/2023194.9791667SSW
      10/05/2023204.390625SSW
      9/05/2023284.578125WNW
      8/05/2023260.7239583W
      7/05/2023241.5729167WSW
      6/05/2023318.96875NW
      5/05/2023238.125WSW
      4/05/2023222.0260417SW
      3/05/2023272.6875W
      2/05/2023300.546875WNW
      1/05/2023218.6041667SW
      30/04/2023186.3541667S
      29/04/2023176.21875S
      28/04/2023196.7760417SSW
      27/04/2023184.8125S
      26/04/2023175.640625S
      25/04/2023173.4791667S
      24/04/2023191.921875SSW
      23/04/2023176.0625S
      22/04/2023204.0520833SSW
      21/04/2023213.0052083SSW
      20/04/2023214.5104167SW
      19/04/2023226.3177083SW
      18/04/2023220.5260417SW
      17/04/2023177.5104167S
      16/04/2023190.2604167S
      15/04/2023206SSW
      14/04/2023177.8177083S
      13/04/2023179.9635417S
      12/04/2023201.4010417SSW
      11/04/2023262.8854167W
      10/04/2023211.82125SSW
      9/04/2023220.2760417SW
      8/04/2023194.7916667SSW
      7/04/2023170.5364583S
      6/04/2023189.1458333S
      5/04/2023154.34375SSE
      4/04/2023195.390625SSW
      3/04/2023198.109375SSW
      2/04/2023181.595S
      1/04/2023257.9895833WSW
      31/03/2023198.75SSW
      30/03/2023220.5260417SW
      29/03/2023207.7291667SSW
      28/03/2023195.4427083SSW
      27/03/2023229.9583333SW
      26/03/2023164.5885417SSE
      25/03/2023189.21875S
      24/03/2023226.28125SW
      23/03/2023215.75SW
      22/03/2023144.5681818SE

       

      The expected outcome would resemble the below, except the directions would be arranged so as to resemble a compass rose.

       

       


      lbendlin wrote:

      Easiest is to have  a static dimension table with all desired directions in the right order (add an index column if needed and "sort a column by another column").  Then choose the direction from that table and say "show items with no data".

       


      Understand this in principle but would be grateful for directions as to how to achieve this.

      • lbendlin's avatar
        lbendlin
        Super User

        The standard Aster plot is not entirely satisfactory.  Probable would make sense to use Deneb for this instead.

         

        See attached.