Day difference bettween dates (and matching ids)

[Anonymous]

id	date visited	days passed	next visit
1	01/01/2018	0	06/07/2018
2	03/02/2018	0	05/08/2018
3	01/02/2018	0	01/03/2018
3	01/03/2018	28	05/02/2018
4	19/01/2018	0	-
5	15/01/2018	0	-
1	06/07/2018	186	-
3	05/02/2018	4	-
2	05/08/2018	183	-

Hi, i want to do something like that table

1- it looks for the same id

2- dates passed : if it is the first visit (it goes a 0) if there is a visit before, it looks the previous visit and it calculates the date difference

3- it calculates the next visit by looking the id so i can make a visual with the amount that of days that is going to take

So how can i calculate the:

-days passed

-next visit

Thanks for your help

[v-frfei-msft · Accepted solution]

Hi @Anonymous,

I made one sample for your reference. Please check the steps as below. 

1. Enter the sample data and sort the date visited and id columns in power query.

2. Insert an index column, Plese refer to the M code as below.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("hY9LDsAgCETvwppEPtXSsxjvfw2ttga6acKGecMAtQIDghBbIh41GtrCmahAwwqyJUmkwTMqT496T8zRW4geXR4xP7WCDncQX0/QJNmT7AnHmxHYyss0rsC54POWLcKmv6x1", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [id = _t, #"date visited" = _t, #"days passed" = _t, #"next visit" = _t]),
    #"Changed Type1" = Table.TransformColumnTypes(Source,{{"date visited", type date}, {"next visit", type date}, {"days passed", type number}}),
    #"Changed Type" = Table.TransformColumnTypes(#"Changed Type1",{{"id", Int64.Type}, {"date visited", type text}, {"days passed", Int64.Type}, {"next visit", type date}}),
    #"Changed Type2" = Table.TransformColumnTypes(#"Changed Type",{{"date visited", type date}}),
    #"Sorted Rows" = Table.Sort(#"Changed Type2",{{"id", Order.Ascending}, {"date visited", Order.Ascending}}),
    #"Added Index" = Table.AddIndexColumn(#"Sorted Rows", "Index", 1, 1)
in
    #"Added Index"

3. Create the measures as below.

dayps = 
VAR minind =
    CALCULATE ( MIN ( Table1[Index] ), ALL ( Table1 ), VALUES ( Table1[id] ) )
VAR mindate =
    CALCULATE (
        MIN ( 'Table1'[date visited] ),
        ALL ( Table1 ),
        VALUES ( Table1[id] )
    )
VAR maxid =
    MAX ( Table1[id] )
VAR maxindex =
    MAX ( Table1[Index] )
VAR nextid =
    CALCULATE (
        MAX ( Table1[id] ),
        FILTER ( ALL ( Table1 ), Table1[Index] = maxindex - 1 )
    )
VAR maxdate =
    MAX ( 'Table1'[date visited] )
RETURN
    IF (
        minind = maxindex,
        0,
        IF ( nextid = maxid, DATEDIFF ( mindate, maxdate, DAY ) )
    )

next = 
VAR maxid =
    MAX ( Table1[id] )
VAR maxindex =
    MAX ( Table1[Index] )
VAR nextid =
    CALCULATE (
        MAX ( Table1[id] ),
        FILTER ( ALL ( Table1 ), Table1[Index] = maxindex + 1 )
    )
VAR result =
    CALCULATE (
        MAX ( Table1[date visited] ),
        FILTER ( ALL ( Table1 ), Table1[Index] = maxindex + 1 )
    )
RETURN
    IF (
        maxid = nextid
            && MAX ( Table1[date visited] ) <> result,
        result,
        BLANK ()
    )

For more details, please check the pbix as attached.

Regards,

Frank

[v-frfei-msft]

Hi @Anonymous,

Does that make sense? If so, kindly mark my answer as the solution to close the case please. Thanks in advance.

Regards,
Frank

[lnz]

May be this article would helpful for you
calculate avg time - between multiple rows