Reputation: 111
Assume that I have the following dataset
Case ID | Dates Start Date [1] | Dates End Date [1] |
002 | 2020-03-10T00:00:00.000Z | 2020-03-13T00:00:00.000Z |
008 | 2020-03-12T00:00:00.000Z | 2020-03-20T00:00:00.000Z |
322 | 2020-04-20T00:00:00.000Z | 2020-04-25T00:00:00.000Z |
IMP: Dates are formatted as follows: 2020-04-11T00:00:00.000Z
I need to create daily count of individuals that were in that location in that particular date range. I can opt to solve this either in PowerBI Desktop or Excel. For example, with this calculation(using the above dataset) I'm expecting to have daily counts like this:
10/03/20 - 1
11/03/20 - 1
12/03/20 - 2
13/03/20 - 2
14/03/20 - 1
I've tried the following solution but somehow it didn't work in my case: Count columns based on date range
Would appreciate your insight! Thanks in advance.
Upvotes: 0
Views: 60
Reputation: 60334
You can do this easily with Power Query
. I'm not familiar with PowerBI but it might be similar.
let
Source = Excel.CurrentWorkbook(){[Name="Table3"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Case ID", type text}, {"Start Date", Int64.Type}, {"End Date", Int64.Type}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Dates", each {[Start Date]..[End Date]}),
#"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Start Date", "End Date"}),
#"Expanded Dates" = Table.ExpandListColumn(#"Removed Columns", "Dates"),
#"Changed Type1" = Table.TransformColumnTypes(#"Expanded Dates",{{"Dates", type date}}),
#"Grouped Rows" = Table.Group(#"Changed Type1", {"Dates"}, {{"Count", each Table.RowCount(_), type number}})
in
#"Grouped Rows"
Upvotes: 1