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Tableaubi_tool~10 mins

Why Tableau is the leader in visual analytics - Test Your Understanding

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to create a basic bar chart in Tableau.

Tableau
Drag the [1] field to Columns and the Sales field to Rows.
Drag options to blanks, or click blank then click option'
ACategory
BProfit
CDate
DRegion
Attempts:
3 left
💡 Hint
Common Mistakes
Using a measure like Profit instead of a dimension for Columns.
Choosing Date which is usually on Rows or Filters.
2fill in blank
medium

Complete the code to filter data for the year 2023 in Tableau.

Tableau
Drag the [1] field to Filters and select 2023.
Drag options to blanks, or click blank then click option'
ARegion
BOrder Date
CCategory
DCustomer Name
Attempts:
3 left
💡 Hint
Common Mistakes
Using a dimension like Region which is not a date.
Trying to filter on Customer Name which is not related to date.
3fill in blank
hard

Fix the error in the calculated field to compute profit ratio.

Tableau
Profit Ratio = SUM([Profit]) / SUM([1])
Drag options to blanks, or click blank then click option'
ACategory
BQuantity
CDiscount
DSales
Attempts:
3 left
💡 Hint
Common Mistakes
Using Quantity or Discount which do not represent total sales.
Using Category which is a dimension, not a measure.
4fill in blank
hard

Fill both blanks to create a calculated field that shows sales growth percentage.

Tableau
Sales Growth % = (SUM([Sales]) - SUM([1])) / SUM([2]) * 100
Drag options to blanks, or click blank then click option'
A[Previous Year Sales]
B[Sales]
D[Profit]
Attempts:
3 left
💡 Hint
Common Mistakes
Using Profit instead of previous sales.
Using current Sales in denominator instead of previous sales.
5fill in blank
hard

Fill the blanks to create a Level of Detail (LOD) expression that calculates average sales per customer.

Tableau
{ FIXED [1] : AVG([2]) }
Drag options to blanks, or click blank then click option'
A[Customer ID]
B[Sales]
C[Order Date]
D[Profit]
Attempts:
3 left
💡 Hint
Common Mistakes
Fixing on Order Date instead of Customer ID.
Averaging Profit instead of Sales.