Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreWe've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
Hello,
I have the following question related to data quality and data density. Is there anyway to build an Overview for data?
For example, I have a huge table with many columns, and I want to another table or even a graphic that showes me, like what is my datatype in the columns ,what is my max and min value in certain culomns that i choose from an exisiting table. any idea how to do such a thing, or even Power bi support such views and staticistics.
Solved! Go to Solution.
@Anonymous i just found this which might help
https://blog.crossjoin.co.uk/2016/01/19/the-table-schema-function-in-power-bim/
Proud to be a Super User!
Hi @Anonymous,
Check this post and use the Table.Schema(YourTable) formula to make a summary of you table, you can the also add the max and minimuns value os calculate the statistc you need to have the data for a summary, even a
Any question please tell me
Regards,
MFelix
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em Portuguêsthnxx, with my low expreiance in Power Query Formula Language, i am not sure how to do it, but any guidlines might help me to do it .
@Anonymous i just found this which might help
https://blog.crossjoin.co.uk/2016/01/19/the-table-schema-function-in-power-bim/
Proud to be a Super User!
@Anonymous i think that is something you woudl have to prebuild
you can get data profiler tools to do this but i dont think power bi does this automatically, is something you would have to profile yourself and write the code for
Proud to be a Super User!
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 55 | |
| 34 | |
| 32 | |
| 19 | |
| 17 |
| User | Count |
|---|---|
| 75 | |
| 72 | |
| 38 | |
| 35 | |
| 25 |