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Connect to the "Global Superstore" data source and use the Orders table. Create a hierarchy of Segment, Category, Region. Create a crosstab using this hierarchy and add profit, profit ratio fields. Which of the following are true from the below options?
Create a hierarchy of Segment, Category, Region and drop it into the rows.
Create profit ratio calculated field:
Drop the profit and profit ratio fields to the view, your view will look like this:
Now let's go through each answer option.
1) The overall lowest profit ratio is of Central Asia region in Furniture Category and Corporate segment - The profit ratio is -142.26% which is lowest overall so it is true.
2) The Southern US is having the third-lowest profit ratio in Technology Category in Home Office Segment and it is having a profit value of $765 - It is true, the profit ratio is 2.06%, which is third-lowest.
3) The Central Africa region is having a profit value of $10,709 in the Office Supplies category in the Corporate Segment - False, it is having a $2,245 profit.
4) The overall highest profit ratio is of North Africa region in Technology Category and Corporate segment - False
Note: This is an easy question but time consuming, so attempt these types of questions in the end.
Connect to the "Global Superstore" data source and find out which region was having the highest percentage of returned orders in 2013?
Create a left outer join, so that we can calculate the percentage of the returned orders
Create a calculated field ''% of returned orders'':
Drop the Order Date to the filters shelf and select the year 2013
Drop the Region to the rows and % of returned orders to the Text:
I have a view that shows the top 5 countries as per the sales, I also have a region filter, but most of the region filter values we don't need. For example - We don't have any country which is part of the Eastern Europe region. So we want to hide all those regions which are not valid here. How to do it?
Larger image
Go to Filter card options, and Select Only Relevant values
Connect to the "Global Superstore" data source and use the Orders table. Find out in which year the furniture sales were more than the average sales of that year?
Drop Order Date to columns, Category to Rows, and Sales to Text.
Go to Analysis -> Totals -> Show Columns Grand Total
Update Total All Using to Average:
In the year 2012, the furniture sales were more than the average sales of that year.
Which of the following are true when you use the cube data source in Tableau?
Cube data sources can only be used as the primary data source for blending data in Tableau.
All others are true.
Refer: https://help.tableau.com/current/pro/desktop/en-us/cubes.htm
