Hello Sergei Tswetkow, Thank You for question. We appreciate your time. We haven't explored that option yet. But you can average out the numbers based on the data that you've and interpolate the missing numbers. The main difference will be based on DAX measures those numbers are nowhere added as a data into the model since those figures are calculated and stored virtually and therefore you might to create calculated column or a table. Hence, it's quite easy to perform these simulations in Python in comparison to the DAX in Power BI. For more queries, you can also reach out to us through our Community Forum where our members as well as Experts Team will be able to assist you, in a better and efficient manner. I hope this helps. Please make sure that you're subscribed to our UA-cam channel so you don't miss out any updates regarding Power BI. Along with it, you may also be interested to join our Power BI group on LinkedIn to receive latest updates. Links provided below for your reference. Happy Learning!!! Thanks and Warm Regards, Enterprise DNA forum.enterprisedna.co/ ua-cam.com/channels/y2rBgj4M1tzK-urTZ28zcA.html www.linkedin.com/groups/12004506/
@@EnterpriseDNA Thank you for response. No need for virtual tables or calculated columns. Interpolation can be created on measure only using VAR +SUMX/ADDCOLUMNS/SUMMARIZE.
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Great tutorial!
Hi Douglas Balkin, Glad you appreciated the video. We are so grateful to have had such positive feedback.
great tutorial. How can I do that for tiff image which has the missing value to be -3.4e38 in python.
Can be done with DAX as well😉
Hello Sergei Tswetkow,
Thank You for question. We appreciate your time.
We haven't explored that option yet. But you can average out the numbers based on the data that you've and interpolate the missing numbers. The main difference will be based on DAX measures those numbers are nowhere added as a data into the model since those figures are calculated and stored virtually and therefore you might to create calculated column or a table. Hence, it's quite easy to perform these simulations in Python in comparison to the DAX in Power BI.
For more queries, you can also reach out to us through our Community Forum where our members as well as Experts Team will be able to assist you, in a better and efficient manner.
I hope this helps.
Please make sure that you're subscribed to our UA-cam channel so you don't miss out any updates regarding Power BI. Along with it, you may also be interested to join our Power BI group on LinkedIn to receive latest updates. Links provided below for your reference.
Happy Learning!!!
Thanks and Warm Regards,
Enterprise DNA
forum.enterprisedna.co/
ua-cam.com/channels/y2rBgj4M1tzK-urTZ28zcA.html
www.linkedin.com/groups/12004506/
@@EnterpriseDNA Thank you for response. No need for virtual tables or calculated columns. Interpolation can be created on measure only using VAR +SUMX/ADDCOLUMNS/SUMMARIZE.