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Hello guys,
I'd need a hand with the model below. Table 1 shows uniques titles (movies, series, etc.) with its corresponding index "tconst". Table 2, shows uniques Names with its index "nconst". Table 3 shows every title (tconst), a person (nconst) and its role in the title.
Table 4 shows every title (tconst) and its director and writer (both are indexes nconst).
Which would be the best way to make a visual with: a title -> Name (from table 2) of Director -> Name (from table 2) of Writer?
Thanks!!
Solved! Go to Solution.
That's quite a handful.
This part needs cleaning up. Combine Location,Country and Region into one table, and clean up your "region" terminology. Your title region seems to be different from your geographic region.
Bidirectional 1:1 relationships most of the time mean you should fold the tables into a single table.
I think you have more than two fact tables. In fact (pun intended) you may not have fact tables at all. This gets close to a graph, and frankly is not something Power BI is good at. The Qlik associative model is more suited for such a scenario.
Can you try to formulate the main questions that your report should be answering for your intended audience? That may help to modify the data model in a meaningful way.
That's quite a handful.
This part needs cleaning up. Combine Location,Country and Region into one table, and clean up your "region" terminology. Your title region seems to be different from your geographic region.
Bidirectional 1:1 relationships most of the time mean you should fold the tables into a single table.
I think you have more than two fact tables. In fact (pun intended) you may not have fact tables at all. This gets close to a graph, and frankly is not something Power BI is good at. The Qlik associative model is more suited for such a scenario.
Can you try to formulate the main questions that your report should be answering for your intended audience? That may help to modify the data model in a meaningful way.
Many thanks for the help and advice @lbendlin . I modify the questions in order to ease the help of the audience.
Please post a sample pbix if possible.
in a "normal" data model the filter direction is singular, from the 1 table ("dimension") to the * table ("fact").
Can you explain why you chose bidirectional?
If filter direction is singular, visualizatons are showing totals and not individual quantities for each dimension. See examplen below on genre visual:
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