With the modeling feature, you can build custom calculations on the existing tables and these columns can be directly presented into Power BI visualizations.
When you think of modelling, what do you think of? A lot of intricate joins, look ups, or maybe just frustrations?
Have you experienced this before? You have a measure, but it doesn’t give you the correct answer. You wonder why. You are not exactly sure why, so you tweak the measure. Perhaps it’s something in the table, maybe a data issue, so you tweak it in Power Query as well. Then you end up with nothing…
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Well, I’ve experienced that. I’ve tried several solutions to a problem, but really the solution is not from anything special.
Rather, the majority of the time the solution is the model itself.
I can think of 3 reasons why modelling is important.
…How? Here we have a model I have encountered before.
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Here, the Cities is joined to the County table in a many to 1 relationship. Then County to Region in another many to 1 relationship.
The Date is joined to the Months table in a many to one relationship. Months to Years in a many to 1 relationship as well.
If I want to get a particular Regional sales, I can write CALCULATE(SUM(FACT[Sales]),FILTER(REGION, REGION[Region] == “North”)).
Data science is omnipresent to advanced statistical and machine learning methods. For whatever length of time that there is data to analyse, the need to investigate is obvious.
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