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Tableaubi_tool~10 mins

Why maps visualize location data in Tableau - Test Your Understanding

Choose your learning style9 modes available
Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to create a map visualization by dragging the correct geographic role.

Tableau
Assign the [1] role to the 'City' field to visualize locations on the map.
Drag options to blanks, or click blank then click option'
ALatitude
BLongitude
CMeasure
DGeographic Role
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing Latitude or Longitude directly instead of setting Geographic Role.
2fill in blank
medium

Complete the sentence to explain why maps are useful in BI dashboards.

Tableau
Maps help users quickly understand [1] patterns and trends in data.
Drag options to blanks, or click blank then click option'
Ageographic
Bfinancial
Ctemporal
Dtextual
Attempts:
3 left
💡 Hint
Common Mistakes
Confusing geographic with financial or temporal patterns.
3fill in blank
hard

Fix the error in the Tableau map setup by choosing the correct field type for location data.

Tableau
Use the [1] field type for 'Country' to enable map visualization.
Drag options to blanks, or click blank then click option'
AGeographic Role
BMeasure
CCalculated Field
DDimension
Attempts:
3 left
💡 Hint
Common Mistakes
Using Measure or Calculated Field instead of Geographic Role.
4fill in blank
hard

Fill both blanks to complete the explanation of map benefits in BI.

Tableau
Maps provide [1] context and help identify [2] clusters in data.
Drag options to blanks, or click blank then click option'
Aspatial
Btemporal
Cdata
Dgeographic
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing temporal or data instead of spatial and geographic.
5fill in blank
hard

Fill all three blanks to complete the sentence about map visualization in BI tools.

Tableau
To create a map, assign [1] to location fields, use [2] to plot points, and apply [3] to show data intensity.
Drag options to blanks, or click blank then click option'
AGeographic Role
BMarks
CColor
DFilters
Attempts:
3 left
💡 Hint
Common Mistakes
Using Filters instead of Color for data intensity.