By default, measures placed in a view are aggregated. The type of aggregation applied ______________
By default, measures placed in a view are aggregated. Mostly you'll notice that the aggregation is SUM, but notALWAYS.
The type of aggregation applied varies depending on the context of the view.
In Tree maps, the size begins with the largest rectangle on the ________________ and the smallest rectangle on the ________________.
Tree maps size begins from maximum in top left to smallest in bottom right.
See below to learn how to create a TreeMap and add colours to it:
Suppose you have a bar chart. When we group by labels in a view, which of the following happens?
*Very important question*
If we select the labels in the view and then group, a new consolidated mark is created - in our case bar since we are talking about a bar chart in the question. See below:
Then on grouping, a new bar is created, and the colour of all bars remain the same.
Had we grouped by choosing the marks instead of the labels, the following would be the result:
If you are working with a huge dataset, which of the following are strong reasons to use a context filter?
By default, all filters that you set in Tableau are computedindependently. That is, each filter accesses all rows in your data source without regard to other filters. However, you can set one or more categorical filters as context filters for the view.You can think of a context filter as being an independent filter (Option stating - To create a dependent filter eliminated here).Any other filters that you set are defined as dependent filters because they process only the data that passes through the context filter.
You may create a context filter to:
1) Improve performance --If you set a lot of filters or have a large data source, the queries can be slow. You can set one or more context filters to improve performance.
2) Create a dependent numerical or top N filter --You can set a context filter to include only the data of interest, and then set a numerical or a top N filter.
For example, suppose you're in charge of breakfast products for a large grocery chain. Your task is to find the top 10 breakfast products by profitability for all stores. If the data source isvery large, you can set a context filter to includeonlybreakfast products. Then you can create a top 10 filter by profit as a dependent filter, which would process only the data that passes through the context filter.
