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Hi,
I am new to Power BI and the forums, so apologies if this has been answered but I wasn't sure how to frame the question, and couldn't find anything in search.
Say I have a table:
CustomerID | In | Out
xxxxxx | 2018-04-06 11:02:00 | 2018-04-06 11:16:00
Where In and Out are the time they entered and left the store.
With this, how can I create a line chart for a period of time where it displays the number of customers in the store across, say, 15 minute intervals (that is, the X axis would be 2018-04-06 09:00:00, 2018-04-06 09:15:00 ...., and the Y value would be the number of customers in the store at that interval)
Thanks for any advice.
Hi @lee_,
Based on my test, you can refer to below steps:
1.I have entered some sample data to test for your problem in below picture and I have created a new table to record the time period.
2.
Create a new measure to calculate your customer amount in different period.
Amount of customer = CALCULATE(COUNT(Sheet1[CustomerID]),FILTER('Sheet1','Sheet1'[In]>=MAX('Sheet2'[Time]) && 'Sheet1'[Out]<=MAX('Sheet2'[Time+15])))
3.Create a Line chart visual and add the [Amount of customer] and [Time] field. Now you can see the result.
You can also download the PBIX file to have a view.
https://www.dropbox.com/s/pmxbwhjihin9m40/Displaying%20customer%20population%20over%20time.pbix?dl=0
Regards,
Daniel He
Thanks for the response Daniel,
Unfortunately I don't think this is going to work for my instance where there are 100K+ visits over the course of the year. The chart takes an exceedingly long time to generate.
I tried a different way, creating a table, Times, with a column of 15-minute intervals using:
Time = GENERATESERIES(Date(2017,7,11), DATE(2018,7,1), (1/1440)*15)
and then on that table adding a column
In Store = SUMX(Customers, IF(AND(Customers[In]<=Times[Time], Customers[Out]>Times[Time]),1,0))
Although the extra column took a long time to calculate, the chart was a bit more fluid. Unfortunately, this solution means that I am unable to drill down/slice against other Customer parameters (gender, age, etc).
I suspect I am going to have to re-evaluate my underlying model. But is there a more efficient/dynamic way of doing this in Power BI?
Thanks again.
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