Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowJuly 7 - July 17 | Round 2 of the Power BI Dataviz World Championships. Don't miss your chance! Learn more
Dear Friends!
Your assistance will much appreaciated,
I have a column where each cell is a table with different number of rows and quantities. The cell is presented in HTML format.
I wish to extract two measurements:
<table border=""1"" cellpadding=""1"" cellspacing=""1"" style=""width:500px""><tbody><tr><td><strong>CODE</strong></td><td><strong>DC</strong></td><td><strong>TDM</strong></td><td><strong>QTY</strong></td><td><strong>TYPE</strong></td></tr><tr><td>118EM1</td><td>1234</td><td>AAAA</td><td>5000</td><td>CCCC</td></tr><tr><td>114EM1</td><td>1432</td><td>BBBB</td><td>8000</td><td>DDDD</td></tr></tbody></table>
Can you please help with a visual of function?
Thank you
You can't really do that in DAX unless you want to do some serious string gymnastics. However this is rather easy to achieve in Power Query as it has an XML parser.
Note that your HTML is suspicious. instead of <th> it uses <td><strong> . Not cool.
let
Source = "<table border=""1"" cellpadding=""1"" cellspacing=""1"" style=""width:500px""><tbody><tr><td><strong>CODE</strong></td><td><strong>DC</strong></td><td><strong>TDM</strong></td><td><strong>QTY</strong></td><td><strong>TYPE</strong></td></tr><tr><td>118EM1</td><td>1234</td><td>AAAA</td><td>5000</td><td>CCCC</td></tr><tr><td>114EM1</td><td>1432</td><td>BBBB</td><td>8000</td><td>DDDD</td></tr></tbody></table>",
#"Parsed XML" = Xml.Tables(Source),
#"Changed Type" = Table.TransformColumnTypes(#"Parsed XML",{{"Attribute:border", Int64.Type}, {"Attribute:cellpadding", Int64.Type}, {"Attribute:cellspacing", Int64.Type}, {"Attribute:style", type text}}),
tbody = #"Changed Type"{0}[tbody],
tr = tbody{0}[tr],
#"Expanded td" = Table.ExpandTableColumn(tr, "td", {"strong", "Element:Text"}, {"strong", "Element:Text"}),
#"Added Index" = Table.AddIndexColumn(#"Expanded td", "Index", 0, 1, Int64.Type),
#"Replaced Value" = Table.ReplaceValue(#"Added Index",null,each #"Added Index"[strong]{Number.Mod([Index],5)},Replacer.ReplaceValue,{"strong"}),
#"Filtered Rows" = Table.SelectRows(#"Replaced Value", each ([#"Element:Text"] <> null)),
#"Replaced Value1" = Table.ReplaceValue(#"Filtered Rows",each [Index],each Number.RoundDown([Index]/5),Replacer.ReplaceValue,{"Index"}),
#"Pivoted Column" = Table.Pivot(#"Replaced Value1", List.Distinct(#"Replaced Value1"[strong]), "strong", "Element:Text"),
#"Changed Type1" = Table.TransformColumnTypes(#"Pivoted Column",{{"QTY", Int64.Type}})
in
#"Changed Type1"
Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.
Check out the July 2026 Power BI update to learn about new features.
Join Data Days 2026: 60 days of free live/on-demand sessions, challenges, study groups, and certification opportunities.
| User | Count |
|---|---|
| 2 | |
| 2 | |
| 1 | |
| 1 | |
| 1 |