FILTER function in Power BI - Dashboard Guide

Dashboard Mode - FILTER function

Business Question

Which sales transactions had sales amounts greater than $200? Show the filtered sales data and total sales for these transactions.

Sample Data: Sales Transactions

Transaction ID	Product	Sales Amount	Region
1	Notebook	150	East
2	Pen	250	West
3	Desk	300	East
4	Chair	100	South
5	Lamp	400	West

Dashboard Components

• KPI Card: Total Sales (Filtered)
  Formula:
  Total Sales Filtered = SUMX(FILTER(Sales, Sales[Sales Amount] > 200), Sales[Sales Amount])
  Result: 250 + 300 + 400 = 950
• Table Visual: Filtered Sales Transactions
  Formula:
  Filtered Sales = FILTER(Sales, Sales[Sales Amount] > 200)
  Shows rows where Sales Amount > 200:
  Transaction IDs 2, 3, 5 with their Product, Sales Amount, and Region

Dashboard Layout

+----------------------+-------------------------+
|  KPI Card: Total     |  Table: Filtered Sales   |
|  Sales (Filtered)    |  Transactions            |
|  (Total = 950)       |  (3 rows shown)          |
+----------------------+-------------------------+

Interactivity

The filter condition in the DAX FILTER function automatically limits the data shown in both the KPI card and the table to only transactions with sales amounts greater than $200. If you add slicers for Region or Product, these will further filter the data before the FILTER function applies, updating both components dynamically.

Self Check

Add a slicer filter for Region = West. Which transactions remain in the filtered table and what is the new total sales amount?

Answer: Transactions with IDs 2 and 5 remain (Pen and Lamp). New total sales = 250 + 400 = 650.

Key Result

Dashboard shows sales transactions filtered to amounts greater than $200 with total sales and detailed table.

Practice

1. What does the FILTER function do in Power BI?

easy

A. It calculates the sum of a column.

B. It creates a new table by combining two tables.

C. It selects rows from a table that meet a specific condition.

D. It changes the data type of a column.

Solution

1. Step 1: Understand the purpose of FILTER

   The FILTER function is designed to pick rows from a table based on a condition you specify.

2. Step 2: Compare with other options

   Options B, C, and D describe different functions like JOIN, SUM, or data type changes, which FILTER does not do.

3. Final Answer:

   It selects rows from a table that meet a specific condition. -> Option C

4. Quick Check:

   FILTER picks rows = A [OK]

Hint: FILTER always returns rows matching a condition [OK]

Common Mistakes:

• Thinking FILTER changes data types
• Confusing FILTER with aggregation functions
• Assuming FILTER combines tables

2. Which of the following is the correct syntax for the FILTER function in DAX?

easy

A. FILTER(Table; Condition)

B. FILTER(Table, Condition)

C. FILTER(Condition, Table)

D. FILTER[Table, Condition]

Solution

1. Step 1: Recall FILTER syntax

   The correct syntax is FILTER(table, condition) where the first argument is the table and the second is the condition.

2. Step 2: Check each option

   FILTER(Table, Condition) matches the correct syntax. FILTER(Condition, Table) reverses arguments. FILTER(Table; Condition) uses a semicolon instead of a comma. FILTER[Table, Condition] uses brackets incorrectly.

3. Final Answer:

   FILTER(Table, Condition) -> Option B

4. Quick Check:

   FILTER syntax = FILTER(table, condition) [OK]

Hint: Table first, condition second in FILTER [OK]

Common Mistakes:

• Swapping table and condition order
• Using semicolons instead of commas
• Using brackets instead of parentheses

3. Given the table Sales with a column Amount, what does this DAX expression return?

FILTER(Sales, Sales[Amount] > 100)

medium

A. All rows where Amount is greater than 100

B. A single value showing the max Amount

C. Sum of Amount values greater than 100

D. All rows where Amount is less than or equal to 100

Solution

1. Step 1: Analyze the FILTER condition

   The condition Sales[Amount] > 100 means only rows with Amount greater than 100 are kept.

2. Step 2: Understand FILTER output

   FILTER returns a table with rows meeting the condition, not sums or single values.

3. Final Answer:

   All rows where Amount is greater than 100 -> Option A

4. Quick Check:

   FILTER with Amount > 100 returns matching rows [OK]

Hint: FILTER returns rows matching condition, not aggregates [OK]

Common Mistakes:

• Thinking FILTER returns sums or single values
• Confusing > with <=
• Assuming FILTER changes data

4. Identify the error in this DAX expression:

FILTER(Sales, Sales[Amount] => 50)

medium

A. The comparison operator => is invalid

B. The table name is incorrect

C. Missing closing parenthesis

D. FILTER requires three arguments

Solution

1. Step 1: Check the comparison operator

   The operator => is not valid in DAX; the correct operator for 'greater than or equal' is >=.

2. Step 2: Verify other parts

   The table name Sales is correct, parentheses are balanced, and FILTER takes two arguments, so no other errors.

3. Final Answer:

   The comparison operator => is invalid -> Option A

4. Quick Check:

   Use >=, not => for comparisons [OK]

Hint: Use >= for 'greater or equal', not => [OK]

Common Mistakes:

• Using => instead of >=
• Assuming FILTER needs more arguments
• Ignoring syntax errors in operators

5. You want to calculate the total sales amount only for products in the 'Electronics' category. Which DAX measure correctly uses FILTER to do this?

Options:
A) TotalElectronics = CALCULATE(SUM(Sales[Amount]), FILTER(Sales, Sales[Category] = "Electronics"))
B) TotalElectronics = SUM(FILTER(Sales, Sales[Category] = "Electronics"))
C) TotalElectronics = FILTER(Sales, Sales[Category] = "Electronics")
D) TotalElectronics = CALCULATE(FILTER(Sales, Sales[Category] = "Electronics"), SUM(Sales[Amount]))

hard

A. TotalElectronics = CALCULATE(FILTER(Sales, Sales[Category] = "Electronics"), SUM(Sales[Amount]))

B. TotalElectronics = SUM(FILTER(Sales, Sales[Category] = "Electronics"))

C. TotalElectronics = FILTER(Sales, Sales[Category] = "Electronics")

D. TotalElectronics = CALCULATE(SUM(Sales[Amount]), FILTER(Sales, Sales[Category] = "Electronics"))

Solution

1. Step 1: Understand the goal

   You want the sum of Amount but only for rows where Category is 'Electronics'.

2. Step 2: Analyze each option

   TotalElectronics = CALCULATE(SUM(Sales[Amount]), FILTER(Sales, Sales[Category] = "Electronics")) uses CALCULATE with SUM and FILTER correctly to filter rows before summing.
   TotalElectronics = SUM(FILTER(Sales, Sales[Category] = "Electronics")) tries to SUM a table, which is invalid.
   TotalElectronics = FILTER(Sales, Sales[Category] = "Electronics") returns a table, not a sum.
   TotalElectronics = CALCULATE(FILTER(Sales, Sales[Category] = "Electronics"), SUM(Sales[Amount])) misuses CALCULATE arguments order.

3. Final Answer:

   TotalElectronics = CALCULATE(SUM(Sales[Amount]), FILTER(Sales, Sales[Category] = "Electronics")) -> Option D

4. Quick Check:

   Use CALCULATE with FILTER for conditional sums [OK]

Hint: Use CALCULATE with FILTER to sum filtered rows [OK]

Common Mistakes:

• Trying to SUM a filtered table directly
• Returning a table instead of a number
• Incorrect argument order in CALCULATE