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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?
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.
Using which options you can automatically add the phone layouts on your dashboard?
Automatically add phone layouts
Two options let you automatically add phone layouts:
To create phone layouts whenever you open old dashboards that lack them, choose Dashboard > Add Phone Layouts to Existing Dashboards
To create phone layouts whenever you create a new dashboard, choose Dashboard > Add Phone Layouts to New Dashboards. (This option is on by default.)
Refer: https://help.tableau.com/current/pro/desktop/en-us/dashboards_dsd_create.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.
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 "Education" data source. Which college(s) average math, verbal, and writing scores are lesser than the overall 70% percentile in these subjects?
Create a bar chart using field college and Math. Change the Math aggregation to AVG.
Drop the Verbal field to Y axis, to create the combined axis chart. And change the aggregation
to Avg.
Follow the same for Writing field.
Now from the Analytics menu, drop the Distribution band to the view, select the scope as
entire table, and select the value as 70 percentiles.
Your view will look like this:
70 percentiles are 547.8
Business and public affairs have all the individual subject values lesser than 547.8.
Connect to the Olympic Athletes data source, find out the average age of players who won at least one gold medal for the country?
Drop the Age to the columns and change the aggregation to AVG.
Drop Gold Medals field to filter and select All values ->
Change 1 from 0.
