Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Get Fabric Certified for FREE during Fabric Data Days. Don't miss your chance! Request now
I have a facebook post that has hundres of entries in it that i want to pull into different rows and columns. I think mostly what i am struggling with is, a removing the first 2 lines that are highlighted, then splitting the date and % into 2 columns and different rows for each line. Any tips would be great.
Proud to be a Super User!
Solved! Go to Solution.
Remove top three lines (or four, hard to tell from picture) and then split column delimited by "- ". That would generate the M code below.
let
Source = Table.FromColumns({Lines.FromBinary(File.Contents("C:\testdata.txt"), null, null, 1252)}),
#"Removed Top Rows" = Table.Skip(Source,3),
#"Split Column by Delimiter" = Table.SplitColumn(#"Removed Top Rows", "Column1", Splitter.SplitTextByDelimiter("- ", QuoteStyle.Csv), {"Column1.1", "Column1.2"}),
#"Changed Type" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Column1.1", type text}, {"Column1.2", Percentage.Type}})
in
#"Changed Type"
Remove top three lines (or four, hard to tell from picture) and then split column delimited by "- ". That would generate the M code below.
let
Source = Table.FromColumns({Lines.FromBinary(File.Contents("C:\testdata.txt"), null, null, 1252)}),
#"Removed Top Rows" = Table.Skip(Source,3),
#"Split Column by Delimiter" = Table.SplitColumn(#"Removed Top Rows", "Column1", Splitter.SplitTextByDelimiter("- ", QuoteStyle.Csv), {"Column1.1", "Column1.2"}),
#"Changed Type" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Column1.1", type text}, {"Column1.2", Percentage.Type}})
in
#"Changed Type"
thanks ill give it a bash.
Proud to be a Super User!
If you dont want the first column but only the percentages you can delete it in the query editor of course.
Check out the November 2025 Power BI update to learn about new features.
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!