I am giving a simple example. Say I have a Product dimension and it is linked to Sales fact table on ProductID.

Hi I am trying to publish the report which has table in it using direct query(standard gateway and activate it).

I have a dataset from uefa euro 2024. I want to have in a graphic bar all goals from each country but it give me diferent numbers if the team is in column ream 1 o team 2

I am trying to get a table put together, and shows the # of Policies, and then the # of Users that makes up that policy count.

I have daily data for a period of time for the same set of assets, stored in 100,000 csv files. I want to aggregate the data for any asset selected by the user, and chart various outputs. I chose powerbi for this task.
These 100,000 files are stored in a single table in powerbi (call it ‘Table 1’)
There is another csv file that has asset level attributes, stored as a different table (call it ‘Table 2’). Thus, my powerbi project has two tables – Table 1 and Table 2.
I have created a custom query and charts based on these tables.

New to Power BI

I have been finding it difficult to use KPI cards effectively. There are so many types that can be explored to show valuable comparison for month over month or yoy data. I’m a beginner and still learning BI. I understand you have to use DAX to work this out but I’d like to know key step by step process to execute the data. Data set I am currently using is fuel consumption and co2 emission data of aircrafts. Due to sensitivity and confidential data unable to share here. Any tips are well appreciated.

I have a requirement to show a burn up chart with two trend lines in a line chart in Power BI. First trend line shows the cumulative sum of epics created in a specific year and second trendline should show cumulative sum of epics closed in that specific year. The two trend lines are based on columns – CreatedDate and ClosedDate.

I am building a report on PowerBI Desktop.

I have 2 measures in my power bi report which show cumulative trend based on two date columns namely created date and closed date. The 2 trend lines show number of bugs created vs number of closed bugs at specific dates.