So, I have a table with a date column, and I want to quickly fill it up to and including 2025. And manually it is too inefficient.

I have 2 tables. Table1 has static data as below:

I have a report that has been pulling in hourly power measures. I need to be able to show these measures by the minute. I have a table with transaction dates in hours and kWh. I also have a table with the transaction date in minutes but no kW data. the row counts have increased greatly with the small granularity. How can I connect these tables so that I can make a graph showing the kW for each hour and be able to drill through to get Kw per min?

I have a report that has been pulling in hourly power measures. I need to be able to show these measures by the minute. I have a table with transaction dates in hours and kWh. I also have a table with the transaction date in minutes but no kW data. the row counts have increased greatly with the small granularity. How can I connect these tables so that I can make a graph showing the kW for each hour and be able to drill through to get Kw per min?

My URL is https://www.sourcingmachine.co.uk/login

I have a rather complex Semantic Model with over 20 dimensions. At the heart of it I have a Direct Query detail table and an imported aggregation table as my facts. The detail table has daily dates and the aggregation table is by month. These work great if I have a separate month dimension to my day dimension.

I have the following chart in PowerBI

I have this Power BI measure

I’ve got a table imported from a csv with multiple rows.

Our team is parallelly working on two separate pages within a Power BI Report. Is there a way to merge these pages together? Additionally, we need to combine different bookmarks and report-level measures from both pages.