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Hello,
I have 3 separate data sets which all pretty much have the same columns except for table 1 (2018 Year-End). Table 3 (Exits) does have some employees which are found in the other two tables. The end result I will need to produce a waterfall graph showing using the Category columns, but will need to use dates, org level 1 and org level 2 as data slicers.
Because all tables are very similar, would the best approach be to simply merge them together to form one master table?
I had thought about creating a calendar table to connect all three tables, but even if I do that, I'm not sure how I would be able to create one graph with all the details required for the data slicer so my next thought was to merge all three tables together.
Hoping for some guidance here as these tables could reach over 5,000 records.
Thank you,
Solved! Go to Solution.
Not very clear about your requirement. But generally, I suggest you to create a calendar table using dax and build relationships between the three tables because simply merging tables together will slow down the performace of power bi. You can create slicer based on the created calendar table if you have one-many relationship between calendar and these tables.
Community Support Team _ Jimmy Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Not very clear about your requirement. But generally, I suggest you to create a calendar table using dax and build relationships between the three tables because simply merging tables together will slow down the performace of power bi. You can create slicer based on the created calendar table if you have one-many relationship between calendar and these tables.
Community Support Team _ Jimmy Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
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