You start with a blank worksheet and add a continuous field to the row shelf. How will this new field change your view?
→ It will add a vertical axis
You have a scatter plot showing sales on the x-axis and profit on the y-axis, with each dot representing a different product subcategory. You want to show how the points on the scatter plot vary based on Net Profit, a third continuous variable. Which would be most appropriate?
→ Size, Color
(Size would be most appropriate, because with size it is clear that larger values are respresened by larger points on the plot. This is easier for the eye to process than understanding which color or size is associated with the larger values than it is to read a label or tooltip value on each point in the scatter plot. The Visual Analysis Best Practices Guidebook explains, “a rule of thumb is to put the most important data on the X- or Y- axis and less important data on color, size, or shape.”)
If you have bar chart with a single bar, but you want to subdivide that bar into multiple categories, what should you add to your view?
→ A dimension
Which of the following describes the Measure Names field
→ When you create a view with multiple measures on a single continuous axis, Tableau will
automatically add Measure Names to the view.
→ When you add Measure Names to a view, all of the measure names appear as row or
column headers in the view. The headers include each measure name. This feature
becomes useful when you are working with a text table that shows multiple measures.
In Tableau, a discrete field is shown in which color?
→ Blue
Which of the following is true for Measures in Tableau?
→ Measures contain numeric, quantitative values(정량적인 값)
→ Measures can be aggregated
(In Tableau, Measures contain numeric, quantitative values that we can measure. Measures can be aggregated. When we drag a measure into the view, Tableau applies an aggregation to that measure (by default).)
Which of the following are the differences between dimensions and measures? – [Select all that Apply]
→ Measures contain quantitative values whereas Dimensions contain names, dates or Geographical data
→ Dimensions increase the level of detail in the view while measures are aggregated when added to the view.