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Filled maps (choropleth) in Tableau - Practice Problems & Coding Challenges

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Challenge - 5 Problems
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Test your skills under time pressure!
visualization
intermediate
2:00remaining
Identify the correct step to create a filled map in Tableau

You want to create a filled map (choropleth) showing sales by state in Tableau. Which step is essential to convert the map into a filled map?

ADrag the 'Sales' measure to Color on the Marks card and change the mark type to 'Filled Map'.
BDrag the 'State' dimension to the Detail on the Marks card and change the mark type to 'Map'.
CDrag the 'State' dimension to the Rows shelf and 'Sales' to the Columns shelf.
DDrag the 'Sales' measure to Tooltip and set the mark type to 'Circle'.
Attempts:
2 left
💡 Hint

Think about how color fills the areas on the map to represent data.

dax_lod_result
intermediate
2:00remaining
Calculate total sales per state ignoring filters

In Tableau, you want to calculate total sales per state ignoring any filters applied on the dashboard. Which Tableau calculation will achieve this?

A{ FIXED [State] : SUM([Sales]) }
BSUM([Sales])
C{ INCLUDE [State] : SUM([Sales]) }
D{ EXCLUDE [State] : SUM([Sales]) }
Attempts:
2 left
💡 Hint

Think about how to fix the calculation at the state level regardless of filters.

🧠 Conceptual
advanced
2:00remaining
Why use filled maps instead of symbol maps?

Which reason best explains why you would choose a filled map (choropleth) over a symbol map in Tableau?

AFilled maps use symbols to represent data points, which is better for showing exact locations.
BFilled maps are faster to create because they require fewer data fields.
CFilled maps show data distribution by coloring entire geographic areas, making it easier to compare regions visually.
DFilled maps always display data labels automatically, unlike symbol maps.
Attempts:
2 left
💡 Hint

Consider how color fills help in understanding data across regions.

🔧 Formula Fix
advanced
2:00remaining
Troubleshoot missing filled map colors

You created a filled map in Tableau, but some states show no color fill even though data exists. What is the most likely cause?

AThe filter on the dashboard excludes those states, so they do not appear.
BThe geographic role for the state field is not set correctly, so Tableau cannot map the data.
CThe measure used for color has null values for those states, so Tableau leaves them blank.
DThe map background is turned off, hiding the filled areas.
Attempts:
2 left
💡 Hint

Check how Tableau recognizes your geographic data.

🎯 Scenario
expert
3:00remaining
Optimize performance for a filled map with many regions

You have a filled map showing sales by thousands of small geographic regions. The map loads slowly and is hard to interpret. What is the best approach to improve performance and clarity?

ARemove the color encoding and use labels instead to show sales values.
BIncrease the size of the marks to make each region more visible.
CAdd more color categories to show finer differences in sales values.
DAggregate the data to a higher geographic level (e.g., state instead of zip code) and use filters to limit visible regions.
Attempts:
2 left
💡 Hint

Think about simplifying the data and reducing detail for better speed and readability.

Practice

(1/5)
1. What is the main purpose of a filled map (choropleth) in Tableau?
easy
A. To color geographic areas based on data values
B. To display detailed street-level maps
C. To show individual data points as dots
D. To create 3D maps with elevation

Solution

  1. Step 1: Understand filled map concept

    A filled map colors entire geographic areas (like states or countries) based on data values.
  2. Step 2: Compare with other map types

    Unlike dot maps or 3D maps, filled maps focus on coloring regions, not points or elevation.
  3. Final Answer:

    To color geographic areas based on data values -> Option A
  4. Quick Check:

    Filled maps = color areas by data [OK]
Hint: Remember: filled maps color regions, not points or lines [OK]
Common Mistakes:
  • Confusing filled maps with point maps
  • Thinking filled maps show street details
  • Assuming filled maps create 3D effects
2. Which of the following is the correct way to create a filled map in Tableau?
easy
A. Drag a geographic field to Filters and a measure to Size
B. Drag a measure to Rows and a geographic field to Tooltip
C. Drag a geographic field to Rows and a measure to Color on the Marks card
D. Drag a measure to Columns and a geographic field to Detail

Solution

  1. Step 1: Identify how to build filled maps

    In Tableau, dragging a geographic field (like State) to Rows or Columns creates the map base.
  2. Step 2: Add color by measure

    Placing a measure on Color in the Marks card colors the geographic areas based on data values.
  3. Final Answer:

    Drag a geographic field to Rows and a measure to Color on the Marks card -> Option C
  4. Quick Check:

    Geo field + Color measure = filled map [OK]
Hint: Put geography on Rows/Columns and measure on Color [OK]
Common Mistakes:
  • Putting geographic fields in Tooltip instead of Rows/Columns
  • Using Size instead of Color for data values
  • Not dragging any measure to Color
3. Given a filled map showing sales by state, what will happen if you drag the Sales measure to the Color shelf and set the aggregation to SUM?
medium
A. Each state will be colored based on total sales in that state
B. The map will show individual sales transactions as dots
C. The map will display sales as labels on each state
D. The map will become blank because SUM is invalid here

Solution

  1. Step 1: Understand SUM aggregation on measure

    SUM aggregates all sales values per state, giving total sales per state.
  2. Step 2: Effect on filled map coloring

    Coloring by SUM(Sales) colors each state area based on its total sales amount.
  3. Final Answer:

    Each state will be colored based on total sales in that state -> Option A
  4. Quick Check:

    SUM(Sales) colors states by total sales [OK]
Hint: SUM on measure colors areas by total values [OK]
Common Mistakes:
  • Thinking dots appear instead of colored areas
  • Expecting labels instead of colors
  • Assuming SUM aggregation causes errors
4. You created a filled map but the colors do not change when you drag your measure to Color. What is the most likely reason?
medium
A. The measure is not numeric
B. The map type is set to Symbol Map instead of Filled Map
C. You forgot to add the geographic field to Detail or Rows/Columns
D. The geographic field is not recognized correctly

Solution

  1. Step 1: Check map type setting

    If the map type is Symbol Map, colors apply to points, not areas, so filled colors won't appear.
  2. Step 2: Confirm filled map selection

    Switching to Filled Map enables coloring of geographic areas by measure values.
  3. Final Answer:

    The map type is set to Symbol Map instead of Filled Map -> Option B
  4. Quick Check:

    Symbol Map ≠ filled colors; choose Filled Map [OK]
Hint: Check map type: must be Filled Map for area colors [OK]
Common Mistakes:
  • Assuming measure type causes no color change
  • Not verifying map type in Marks card
  • Ignoring geographic field placement
5. You want to create a filled map showing population density by US state, but your data only has total population and land area separately. How should you prepare your data in Tableau to color states by population density?
hard
A. Use total population as Color and filter states by land area
B. Drag total population to Color and land area to Size
C. Create a parameter for land area and use it to filter states
D. Create a calculated field dividing total population by land area, then drag it to Color

Solution

  1. Step 1: Calculate population density

    Create a calculated field: Population Density = Total Population / Land Area.
  2. Step 2: Use calculated field for coloring

    Drag this new field to Color on the Marks card to color states by density.
  3. Final Answer:

    Create a calculated field dividing total population by land area, then drag it to Color -> Option D
  4. Quick Check:

    Calculated field = density, use on Color [OK]
Hint: Calculate density first, then color map by it [OK]
Common Mistakes:
  • Using raw population without area for color
  • Using Size for land area instead of calculation
  • Filtering states instead of calculating density