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!The Power BI Data Visualization World Championships is back! It's time to submit your entry. Live now!
Hey Everyone,
i just get a database from MongoDb and get 2 columns, _id: we can say its the userid and the skills of that user, the problem is that skill is a array json. Is there some way to split that array(its no problem to repeat the values of _id column since i can get one skill per line)
thanks for the help
Solved! Go to Solution.
Hi @Anonymous ,
you can do it in Power Query like this (PBIX file attached):
// Table
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [_id = _t, skills = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"_id", type text}, {"skills", type text}}),
#"Split Column by Delimiter1" = Table.SplitColumn(#"Changed Type", "skills", Splitter.SplitTextByDelimiter("{", QuoteStyle.None), {"skills.1", "skills.2", "skills.3", "skills.4", "skills.5", "skills.6", "skills.7", "skills.8", "skills.9", "skills.10", "skills.11", "skills.12", "skills.13", "skills.14", "skills.15", "skills.16", "skills.17", "skills.18", "skills.19", "skills.20", "skills.21", "skills.22", "skills.23", "skills.24", "skills.25", "skills.26", "skills.27", "skills.28", "skills.29", "skills.30"}),
#"Removed Columns" = Table.RemoveColumns(#"Split Column by Delimiter1",{"skills.1"}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Removed Columns", {"_id"}, "Attribute", "Value"),
#"Removed Columns1" = Table.RemoveColumns(#"Unpivoted Other Columns",{"Attribute"})
in
#"Removed Columns1"
With kind regards from the town where the legend of the 'Pied Piper of Hamelin' is at home
FrankAT (Proud to be a Datanaut)
Hi @Anonymous ,
you can do it in Power Query like this (PBIX file attached):
// Table
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [_id = _t, skills = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"_id", type text}, {"skills", type text}}),
#"Split Column by Delimiter1" = Table.SplitColumn(#"Changed Type", "skills", Splitter.SplitTextByDelimiter("{", QuoteStyle.None), {"skills.1", "skills.2", "skills.3", "skills.4", "skills.5", "skills.6", "skills.7", "skills.8", "skills.9", "skills.10", "skills.11", "skills.12", "skills.13", "skills.14", "skills.15", "skills.16", "skills.17", "skills.18", "skills.19", "skills.20", "skills.21", "skills.22", "skills.23", "skills.24", "skills.25", "skills.26", "skills.27", "skills.28", "skills.29", "skills.30"}),
#"Removed Columns" = Table.RemoveColumns(#"Split Column by Delimiter1",{"skills.1"}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Removed Columns", {"_id"}, "Attribute", "Value"),
#"Removed Columns1" = Table.RemoveColumns(#"Unpivoted Other Columns",{"Attribute"})
in
#"Removed Columns1"
With kind regards from the town where the legend of the 'Pied Piper of Hamelin' is at home
FrankAT (Proud to be a Datanaut)
Thanks a lot, that solved my problem
The Power BI Data Visualization World Championships is back! It's time to submit your entry.
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 57 | |
| 40 | |
| 27 | |
| 25 | |
| 23 |
| User | Count |
|---|---|
| 127 | |
| 105 | |
| 55 | |
| 39 | |
| 33 |