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True or False : Bins can be created on dimensions
See the explanation below.
Bin are a user-defined grouping of numerical data in the data source.
According to the official Tableau documentation: It's sometimes useful to convert a continuous measure (or a numeric dimension) into bins.
Have a look at the following image. When we right click a measure, we get the following options:
However, for a dimension (this is because theDATA TYPEof this dimension is a string:
But what if we have a dimension of typeNUMBER (NUMERIC DIMENSION)? See below:
We can clearly create bins from dimensions too - they just have to be numeric :)
True or False: The Highlighting action can be disabled for the entire workbook.
See the explanation below.
Yes, it is possible to disable highlighting for the entire workbook.
For more information :https://help.tableau.com/current/pro/desktop/en-gb/actions_highlight.htm
Is it possible to use measures in the same view multiple times (e.g. SUM of the measure and AVG of the measure)?
See the explanation below.
Yes, it is very much possible to use measures in the same view multiple times. For example, refer to the image below:
We are usingBOTHtheSumof the revenue and theAVGof the revenue in the same view!
By definition, Tableau displays measures over time as a ____________
See the explanation below.
Line charts connect individual data points in a view. They provide a simple way to visualize a sequence of values and are useful when you want to see trends over time, or to forecast future values.
Please refer to the images below:
Which of the following would you use to connect to multiple tables in a single data source at once?
See the explanation below.
The data that you analyze in Tableau is often made up of a collection of tables that are related by specific fields (that is, columns). Joining is a method for combining data on based on those common fields. The result of combining data using a join is a virtual table that is typically extended horizontally by adding columns of data.
For example, consider the following two tables originating from a single data source:
We can combine these 2 tables, simply by joining the tables on ID to answer questions like, 'How much was paid in royalties for authors from a given publisher?'. By combining tables using a join, you can view and use related data from different tables in your analysis.
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