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Hi all,
I'm very new to power BI and although there were similar questions in the forum already, I couldn't figure out how to apply them to my problem. I'm trying to graph the frequency an event occurs over the course of a day/month. The data I'm working with looks similar to this:
| Date | Time | Event |
| 1/1/22 | 9:00am | Event A |
| 1/1/22 | 9:10am | Event A |
| 1/1/22 | 9:20am | Event C |
| 1/1/22 | 9:30am | Event B |
| 1/1/22 | 10:00am | Event C |
| 1/2/22 | 9:00am | Event A |
| 1/2/22 | 10:00am | Event C |
1/3/22 | 9:10am | Event C |
1/3/22 | 9:20am | Event B |
1/3/22 | 10:00am | Event A |
1/4/22 | 9:00am | Event B |
1/4/22 | 9:30am | Event B |
1/5/22 | 10:00am | Event C |
Because each day/time of day is unevenly represented, a count of each event is misleading. Below is the graph I'm getting with my full data set:
Each time periods lines should always add up to 100%. For example, in the table above you would have:
| Time | Event A | Event B | Event C |
| 9:00am | 66% | 33% | 0% |
| 9:10am | 50% | 0% | 50% |
| 9:20am | 0% | 50% | 50% |
| 9:30am | 0% | 100& | 0% |
| 10:00am | 25% | 0% | 75% |
In excel, I'd use a pivot table and just use the % of row function to show frequency of a particular event. How do I do this in Power BI?
Thank you for any information!
Solved! Go to Solution.
Hi @jfg28282,
Use this formula to calculate the percentage first:
% = SUMX('Table',IF('Table'[Time]=EARLIER('Table'[Time]) && 'Table'[Event]=EARLIER('Table'[Event]),1,0)) / SUMX('Table',IF('Table'[Time]=EARLIER('Table'[Time]),1,0))
Then add a matrix visual and use time as rows, event as columns and % as values.
Works for you? Mark this post as a solution if it does!
Consider taking a look at my blog: Forecast Period - Previous Forecasts
Hi @jfg28282,
Use this formula to calculate the percentage first:
% = SUMX('Table',IF('Table'[Time]=EARLIER('Table'[Time]) && 'Table'[Event]=EARLIER('Table'[Event]),1,0)) / SUMX('Table',IF('Table'[Time]=EARLIER('Table'[Time]),1,0))
Then add a matrix visual and use time as rows, event as columns and % as values.
Works for you? Mark this post as a solution if it does!
Consider taking a look at my blog: Forecast Period - Previous Forecasts
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