We'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.
| User | Count |
|---|---|
| 56 | |
| 40 | |
| 36 | |
| 18 | |
| 18 |
| User | Count |
|---|---|
| 70 | |
| 67 | |
| 38 | |
| 34 | |
| 23 |