Data scaffolding allows you to generate missing data for visualization purposes.
In June, 2018 I wrote a blog post about three things Tableau Prep couldn’t do. One of those was the ability to transpose (unpivot) data. That is no longer the case.
Working with data that isn’t clean can be a pain. One of the most frequent data issues I come across is dealing with duplicated rows of data.
You might never have heard of a self join but you might need one. Occasionally, tables in a database are structured so that it makes sense to join a copy of a table to itself…
Sometimes you need to use data in Tableau that isn’t in a clean, denormalized format. It might have been exported from an application or prepared by a coworker in a way that Tableau doesn’t like.
I frequently hear the question, “Can Tableau show my missing data?”. Generally when I get this question, people want to either see a 0 or a blank where there should be missing data.
It’s more complicated than you think. Let me explain.
In my first sample data set I have just the two columns of data below and 365 rows, one for each day of 2018.
You might have heard a lot of noise about the new Tableau Prep product that just released.
Newsflash: You automatically get it with your Tableau Desktop license
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Imagine you are living your best life and run a company that owns an ice cream parlor and a chocolate store. You have data for both companies that looks like this: