Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Earn the coveted Fabric Analytics Engineer certification. 100% off your exam for a limited time only!

Reply
Anonymous
Not applicable

Transform data_Select start date and end date

Dear all,

 

Please your help to advise how can I convert below data.

 

Original data includes 2 columns: activities and date. I want to define the start date and end date of each activities.

 

Original data:

 

ActivitiesDate
Plan1/2/2020
Plan1/3/2020
Plan1/4/2020
Plan1/5/2020
Plan1/6/2020
Produce1/7/2020
Produce1/8/2020
Produce1/9/2020
Produce1/10/2020
Produce1/11/2020
Delivery1/12/2020
Delivery1/13/2020
Delivery1/14/2020
Delivery1/15/2020
Delivery1/16/2020
Receive1/17/2020
Receive1/18/2020
Receive1/19/2020
Receive1/20/2020

 

 

What I expect:

 

ActivitiesStart dateEnd date
Plan1/2/20201/6/2020
Produce1/7/20201/11/2020
Delivery1/12/20201/16/2020
Receive1/17/20201/20/2020

 

 

Thanks for your support!

 

1 ACCEPTED SOLUTION
Fowmy
Super User
Super User

@Anonymous 

Group it:

Fowmy_0-1598528059797.png

Fowmy_1-1598528069750.png

________________________

If my answer was helpful, please consider Accept it as the solution to help the other members find it

Click on the Thumbs-Up icon if you like this reply 🙂

YouTube  LinkedIn

 



 

Did I answer your question? Mark my post as a solution! and hit thumbs up


Subscribe and learn Power BI from these videos

Website LinkedIn PBI User Group

View solution in original post

3 REPLIES 3
Fowmy
Super User
Super User

@Anonymous 

Group it:

Fowmy_0-1598528059797.png

Fowmy_1-1598528069750.png

________________________

If my answer was helpful, please consider Accept it as the solution to help the other members find it

Click on the Thumbs-Up icon if you like this reply 🙂

YouTube  LinkedIn

 



 

Did I answer your question? Mark my post as a solution! and hit thumbs up


Subscribe and learn Power BI from these videos

Website LinkedIn PBI User Group

Anonymous
Not applicable

a non natural way to get the same result  (I use the table.pivot function with a user defined aggregation function to get multiple aggregation result and collapsed the combine and split column function to only one expression) :

 

 

 

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("dc+xCoAgEIDhd3EO1MtK9x4gWsUh6oZACoSC3r5IIoe79fun33sxxGkTldASJChQIlSF1YQZwhrC2sLSvhwzvtzRbGl2NGvFuP69x7iemK4cgAs1FwwXGi4UxyPO+JTsHeOWcUc7fNPhBg==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Activities = _t, Date = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Activities", type text}, {"Date", type date}},"en-US"),

    #"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[Activities]), "Activities", "Date", (x)=>{List.Min(x),List.Max(x)}),
    #"Demoted Headers" = Table.DemoteHeaders(#"Pivoted Column"),
    #"Transposed Table" = Table.Transpose(#"Demoted Headers"),
    #"Combine and Split Column" = Table.SplitColumn(#"Transposed Table", "Column2", each Splitter.SplitTextByDelimiter(";", QuoteStyle.Csv)(Text.Combine(List.Transform(_,Text.From), ";")), {"Start", "End"})
in
    #"Combine and Split Column"

 

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("dc+xCoAgEIDhd3EO1MtK9x4gWsUh6oZACoSC3r5IIoe79fun33sxxGkTldASJChQIlSF1YQZwhrC2sLSvhwzvtzRbGl2NGvFuP69x7iemK4cgAs1FwwXGi4UxyPO+JTsHeOWcUc7fNPhBg==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Activities = _t, Date = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Activities", type text}, {"Date", type date}},"en-US"),
    #"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[Activities]), "Activities", "Date",(x)=>Text.From(List.Min(x))&";"&Text.From(List.Max(x))),
    #"Demoted Headers" = Table.DemoteHeaders(#"Pivoted Column"),
    #"Transposed Table" = Table.Transpose(#"Demoted Headers"),
    #"Split Column" = Table.SplitColumn(#"Transposed Table", "Column2", Splitter.SplitTextByDelimiter(";", QuoteStyle.Csv), {"Start", "End"}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Split Column",{{"Start", type date}, {"End", type date}})
in
    #"Changed Type1"

 

 

 

 

 

Greg_Deckler
Super User
Super User

@Anonymous - So put Activities in a table visualization and then put date in twice, once with a min (first) aggregation and then with a max (last) aggregation.


@ me in replies or I'll lose your thread!!!
Instead of a Kudo, please vote for this idea
Become an expert!: Enterprise DNA
External Tools: MSHGQM
YouTube Channel!: Microsoft Hates Greg
Latest book!:
Mastering Power BI 2nd Edition

DAX is easy, CALCULATE makes DAX hard...

Helpful resources

Announcements
April AMA free

Microsoft Fabric AMA Livestream

Join us Tuesday, April 09, 9:00 – 10:00 AM PST for a live, expert-led Q&A session on all things Microsoft Fabric!

March Fabric Community Update

Fabric Community Update - March 2024

Find out what's new and trending in the Fabric Community.

Top Solution Authors
Top Kudoed Authors