When we create a filter action in a dashboard, what all we must specify so that it will work?
Answer : A, B, C
Even if you don't select the target filters, your filter action will work. Rest all you need to provide so that it will work.
Connect to the "Global Superstore" data source and use the Orders table. Find out the customers who placed their first order in 2013 and what is the total sales value of these customers in the same year?
Answer : C
Find the minimum order date for each customer
Drop the order date, Min Order date, and Sales to the view
$2,263,137 is the sales value in 2013 of the customers who placed their first order in 2013.
Using the Profit Analysis Dashboard twbx file, find out the 5th most profitable product in the state of New York? You can add the functionality to the dashboard.
Answer : A
Select New York State, you are getting only 3 products, and not 5.
You need to add State as a Context filter in the Top 5 profitable products View. For that, go to the Top 5 profitable products sheet. (click on small arrow)
Select Add to Context on the State filter
Which of the following is true about spatial files?
Answer : D
All are false here.
Refer: https://help.tableau.com/current/pro/desktop/en-us/maps_shapefiles.htm
Connect to the "Covid data" source. Create a line chart using continuous months and new deaths. Find the Excess Kurtosis for the sum of new deaths.
Answer : B
Drop the Date to the columns and select the continuous month. Drop New Deaths to rows.
Click on the Show/Hide card and enable the Summary Card.
You will see the Summary Card on the right, if Excess Kurtosis is not enabled, click on the drop-down and select the Excess Kurtosis.
Connect to the "Life Expectancy at birth" data source, combine sheets Data_20th century and Data_21st century. Find the moving average for the average life expectancy for 10 years before 2000 and 10 years after 2000 for New Zealand.
Answer : B
Connect to the 'Life Expectancy at birth' excel file, drag Data_20th Century sheet to the canvas. If you find data columns are not correct.
Use the data Interpreter, it will correct the data.
Select the column 1960 to 2000. And Click on the Pivot option
Rename the two new columns as 'Years' and 'Life Expectancy'
Create a Union by dragging the sheet Data_21st Century to Data_20th Century, once you see the orange block for union.
Now, select column 2001 to 2013 and Select Add data to Pivot.
Select Country and Country Name field, Merge these fields.
Rename the merged field as Country.
Let's create the view.
Drop the country to the Filters and Select New Zealand. Drop the years to the columns and 'Life Expectancy' to the Text marks card. Change the aggregation to Avg (it won't make a difference here).
Right-Click on Life Expectancy -> Quick Table Calc -> Moving Average
Again, right-click on it and edit the table calculation.
Update the values as:
Result is:
Connect to the "Global Superstore" data source and use the Orders table. Create a view using Profit and Sales. Find out which sub-category is above the profit median but below the sales median value?
Answer : B
Drop Sales to columns and profit to rows, and Sub-Category to details.
Add two reference lines, one on the sales axis:
Add similarly on profit axis as well.
Out of the following options, only the Binders sub-category is above the profit median but below the sales median value.