Measure filters in Tableau - Step-by-Step Guide

Introduction

Measure filters let you control which data values appear in your view based on numbers. This helps you focus on important data, like showing only sales above a certain amount.

When you want to show only products with sales greater than $1000 on your dashboard

When you need to exclude customers with low purchase amounts from your report

When your chart should display only months where profit was positive

When you want to highlight top-performing regions by filtering on revenue

When you want to remove zero or null values from a calculation in your visualization

Steps

Step 1: Open your Tableau workbook and go to the worksheet with your data

- Tableau workspace

You see your current chart or table with data displayed

Step 2: Drag the measure you want to filter on (for example, Sales) from the Data pane

- Data pane

The measure appears on the Filters shelf

💡 If you don’t see the Filters shelf, look below the Columns and Rows shelves

Step 3: In the Filter Field dialog, select the filter type (e.g., Range of values)

- Filter Field dialog

You see options to set minimum and maximum values for the measure

Step 4: Set the filter range or condition (for example, minimum sales = 1000)

- Filter Field dialog

Only data points with sales above 1000 will be included in the view

Step 5: Click OK to apply the filter

- Filter Field dialog

The chart updates to show only data that meets the measure filter condition

Step 6: Optionally, right-click the filter on the Filters shelf and select Show Filter

- Filters shelf

A filter control appears on the worksheet for interactive filtering by users

Before vs After

Before

The worksheet shows sales data for all products, including those with sales below $1000

After

The worksheet shows sales data only for products with sales above $1000

Settings Reference

Filter Type

📍 Filter Field dialog after dragging measure to Filters shelf

Choose how to filter the measure values (by range or condition)

Default: Range of values

Range Minimum and Maximum

📍 Filter Field dialog when Range of values is selected

Set the lower and upper bounds for the measure filter

Default: Full range of measure values

Show Filter

📍 Right-click filter on Filters shelf

Display a filter control on the worksheet for user interaction

Default: Hide Filter

Common Mistakes

Dragging a dimension instead of a measure to the Filters shelf when intending to filter by numbers

Dimensions filter categories or labels, not numeric values, so measure filtering won't work

Always drag the numeric measure (like Sales or Profit) to the Filters shelf for measure filtering

Setting filter range too narrow or too wide without checking data distribution

This can exclude important data or include irrelevant data, misleading the analysis

Review data summary or histogram before setting filter ranges to choose meaningful limits

Not clicking OK after setting filter conditions

Changes won’t apply until confirmed, so the view remains unchanged

Always click OK to apply the filter settings

Summary

Measure filters let you show only data points that meet numeric conditions.

You apply measure filters by dragging a measure to the Filters shelf and setting conditions.

Remember to confirm filter settings and use Show Filter for interactive dashboards.

Practice

1. What is the main purpose of a measure filter in Tableau?

easy

A. To filter data based on numeric values in measures

B. To change the color of a chart

C. To add labels to dimensions

D. To create new calculated fields

Solution

1. Step 1: Understand what measure filters do

   Measure filters focus on numeric data, allowing you to filter based on values like sales or profit.

2. Step 2: Compare with other options

   Changing colors, adding labels, or creating fields are different Tableau features unrelated to filtering measures.

3. Final Answer:

   To filter data based on numeric values in measures -> Option A

4. Quick Check:

   Measure filters = numeric value filtering [OK]

Hint: Measure filters always work on numbers, not text [OK]

Common Mistakes:

• Confusing measure filters with dimension filters
• Thinking measure filters change visuals only
• Believing measure filters create new data

2. Which of the following is the correct way to apply a measure filter in Tableau?

easy

A. Drag a dimension to the Filters shelf

B. Right-click a worksheet and select 'Add Filter'

C. Double-click a measure in the Data pane

D. Drag a measure to the Filters shelf

Solution

1. Step 1: Identify how to apply measure filters

   Measure filters are applied by dragging a measure (numeric field) to the Filters shelf.

2. Step 2: Eliminate incorrect options

   Dragging a dimension filters categories, not measures; right-clicking worksheet doesn't add filters; double-clicking measure adds it to view, not filter.

3. Final Answer:

   Drag a measure to the Filters shelf -> Option D

4. Quick Check:

   Measure filter = drag measure to Filters [OK]

Hint: Only measures go to Filters shelf for measure filtering [OK]

Common Mistakes:

• Dragging dimensions instead of measures to Filters
• Trying to add filters from worksheet menu
• Double-clicking measures expecting filter dialog

3. Given a sales measure filter set to show only sales greater than 1000, what will happen to a product with sales of 900?

medium

A. It will be excluded from the view

B. It will cause an error

C. It will show as zero sales

D. It will be included in the view

Solution

1. Step 1: Understand the filter condition

   The filter shows only sales > 1000, so any sales less or equal to 1000 are excluded.

2. Step 2: Apply condition to product sales

   Product with sales 900 is less than 1000, so it will be excluded from the view.

3. Final Answer:

   It will be excluded from the view -> Option A

4. Quick Check:

   Sales 900 < 1000 -> excluded [OK]

Hint: Filters exclude data not meeting condition, no errors [OK]

Common Mistakes:

• Thinking filtered-out data shows as zero
• Assuming filter includes all data
• Expecting error on excluded data

4. You applied a measure filter on Profit > 0 but still see negative profit values in your view. What is the likely cause?

medium

A. The filter condition was set incorrectly as Profit < 0

B. The filter was applied on a dimension instead of the Profit measure

C. The data source has errors causing wrong values

D. The filter is applied after aggregation, so negative values remain

Solution

1. Step 1: Check filter application

   If the filter was applied on a dimension, it won't filter numeric Profit values correctly.

2. Step 2: Understand why negative profits appear

   Applying filter on dimension does not remove negative profits; measure filter on Profit is needed.

3. Final Answer:

   The filter was applied on a dimension instead of the Profit measure -> Option B

4. Quick Check:

   Filter on dimension ≠ filter on measure [OK]

Hint: Always apply measure filters on measures, not dimensions [OK]

Common Mistakes:

• Applying measure filter on dimension field
• Setting wrong filter condition
• Assuming data source errors cause filter issues

5. You want to create a dashboard showing only customers with total sales above 5000. Which approach using measure filters is best?

hard

A. Apply a measure filter on individual sales transactions > 5000

B. Use a dimension filter on customer names containing '5'

C. Create a calculated field for total sales per customer and filter > 5000

D. Filter the data source to exclude sales below 5000

Solution

1. Step 1: Understand the requirement

   We want customers with total sales above 5000, so aggregation per customer is needed.

2. Step 2: Choose correct filtering method

   Applying filter on individual transactions won't sum sales; dimension filter on names is unrelated; filtering data source excludes data prematurely.

3. Step 3: Use calculated field and filter

   Create a calculated field summing sales per customer, then apply measure filter > 5000 to show only those customers.

4. Final Answer:

   Create a calculated field for total sales per customer and filter > 5000 -> Option C

5. Quick Check:

   Aggregate then filter for totals [OK]

Hint: Aggregate measure per group before filtering totals [OK]

Common Mistakes:

• Filtering individual transactions instead of totals
• Using dimension filters unrelated to sales
• Filtering data source instead of view