Key influencers visual in Power BI - Cell-by-Cell Formula Trace

Sample Data

Sample customer data showing Age, Income, and whether they Purchased a product.

Cell	Value
A1	CustomerID
B1	Age
C1	Income
D1	Purchased
A2	C001
B2	25
C2	40000
D2	Yes
A3	C002
B3	40
C3	60000
D3	No
A4	C003
B4	35
C4	50000
D4	Yes
A5	C004
B5	50
C5	70000
D5	No
A6	C005
B6	28
C6	45000
D6	Yes

Formula Trace

Key Influencers visual analyzes which factors (Age, Income) influence Purchased = 'Yes'

Step 1: Identify target variable: Purchased

Step 2: Analyze Age values for Purchased = Yes

Step 3: Analyze Age values for Purchased = No

Step 4: Compare average Age for Purchased = Yes vs No

Step 5: Analyze Income values for Purchased = Yes

Step 6: Analyze Income values for Purchased = No

Step 7: Compare average Income for Purchased = Yes vs No

Step 8: Determine key influencers

Cell Reference Map

    A        B       C         D
1 CustomerID  Age    Income  Purchased
2    C001     25     40000      Yes
3    C002     40     60000      No
4    C003     35     50000      Yes
5    C004     50     70000      No
6    C005     28     45000      Yes

Arrows: Purchased (D2:D6) is target; Age (B2:B6) and Income (C2:C6) are influencers.

The visual uses Purchased column as the target variable and Age and Income as influencer variables.

Result

Key Influencers Visual Output:

Influencer: Age
  - Younger customers (around 29 years) are more likely to purchase.
Influencer: Income
  - Customers with lower income (around 45000) are more likely to purchase.

This means Age and Income are key factors influencing purchase decisions.

The Key Influencers visual highlights Age and Income as main factors affecting whether customers purchase.

Sheet Trace Quiz - 3 Questions

Which column is the target variable in the Key Influencers visual?

A Age

B Purchased

C Income

D CustomerID

Key Result

Key Influencers visual compares target variable groups to influencer variables to find factors affecting outcomes.

Practice

1. What is the main purpose of the Key influencers visual in Power BI?

easy

A. To identify which factors most affect a selected outcome

B. To create detailed tables of raw data

C. To build complex DAX formulas automatically

D. To design custom report layouts

Solution

1. Step 1: Understand the visual's function

   The Key influencers visual analyzes data to find factors that impact a specific result.

2. Step 2: Compare options to this function

   Only To identify which factors most affect a selected outcome describes identifying factors affecting an outcome, which matches the visual's purpose.

3. Final Answer:

   To identify which factors most affect a selected outcome -> Option A

4. Quick Check:

   Key influencers = Identify factors [OK]

Hint: Remember: Key influencers find what affects the result [OK]

Common Mistakes:

• Confusing it with table or layout visuals
• Thinking it creates formulas automatically
• Assuming it designs reports

2. Which of the following is the correct way to set up a Key influencers visual in Power BI?

easy

A. Drag the factor fields to 'Analyze' and the result field to 'Explain by'

B. Drag the result field to 'Analyze' and factor fields to 'Explain by'

C. Drag all fields to 'Explain by' only

D. Drag all fields to 'Analyze' only

Solution

1. Step 1: Recall the setup roles in Key influencers visual

   The result field goes to 'Analyze' and the factors go to 'Explain by'.

2. Step 2: Match this with the options

   Drag the result field to 'Analyze' and factor fields to 'Explain by' correctly states this setup, while others reverse or misuse the roles.

3. Final Answer:

   Drag the result field to 'Analyze' and factor fields to 'Explain by' -> Option B

4. Quick Check:

   Result in Analyze, factors in Explain by = A [OK]

Hint: Result goes to Analyze; factors go to Explain by [OK]

Common Mistakes:

• Swapping Analyze and Explain by fields
• Putting all fields in one bucket
• Ignoring the visual's field roles

3. Given a dataset with sales data, you create a Key influencers visual with Sales Amount in 'Analyze' and Region and Product Category in 'Explain by'. What will the visual show?

medium

A. Which regions and product categories most influence sales amount

B. A list of all sales transactions by region and category

C. The total sales amount per region only

D. A trend line of sales amount over time

Solution

1. Step 1: Understand the visual setup

   Sales Amount is the result to analyze; Region and Product Category are factors to explain it.

2. Step 2: Interpret what Key influencers visual does

   It finds which factors (Region, Product Category) influence the Sales Amount most.

3. Final Answer:

   Which regions and product categories most influence sales amount -> Option A

4. Quick Check:

   Analyze result with factors = Influencers found [OK]

Hint: Analyze shows result influence by factors [OK]

Common Mistakes:

• Confusing it with simple tables or charts
• Expecting totals or trends instead of influencers
• Ignoring the role of Analyze vs Explain by

4. You created a Key influencers visual but it shows no influencers. Which of these is the most likely cause?

medium

A. You used too many factor fields in 'Explain by'

B. The dataset has missing values in the factor fields

C. The result field is numeric but placed in 'Explain by' instead of 'Analyze'

D. The visual requires a date field in 'Analyze'

Solution

1. Step 1: Check field placement rules

   The result field must be in 'Analyze'; numeric fields in 'Explain by' won't work properly.

2. Step 2: Evaluate options

   The result field is numeric but placed in 'Explain by' instead of 'Analyze' explains a common setup error causing no influencers to appear.

3. Final Answer:

   The result field is numeric but placed in 'Explain by' instead of 'Analyze' -> Option C

4. Quick Check:

   Result field must be in Analyze [OK]

Hint: Put result in Analyze, not Explain by [OK]

Common Mistakes:

• Ignoring field placement importance
• Assuming missing values always cause no influencers
• Thinking date field is mandatory in Analyze

5. You want to analyze customer churn using a Key influencers visual. You have Churned (Yes/No), Age, Contract Type, and Monthly Charges. How should you set up the visual to find what influences churn?

hard

A. Put all fields in 'Analyze' only

B. Put Age in 'Analyze' and Churned, Contract Type, Monthly Charges in 'Explain by'

C. Put Contract Type in 'Analyze' and Churned, Age, Monthly Charges in 'Explain by'

D. Put Churned in 'Analyze' and Age, Contract Type, Monthly Charges in 'Explain by'

Solution

1. Step 1: Identify the result to analyze

   Customer churn (Yes/No) is the outcome to explain, so it goes in 'Analyze'.

2. Step 2: Assign factors to explain churn

   Age, Contract Type, and Monthly Charges are factors that might influence churn, so they go in 'Explain by'.

3. Final Answer:

   Put Churned in 'Analyze' and Age, Contract Type, Monthly Charges in 'Explain by' -> Option D

4. Quick Check:

   Result in Analyze, factors in Explain by = D [OK]

Hint: Put outcome in Analyze, factors in Explain by [OK]

Common Mistakes:

• Putting factors in Analyze instead of result
• Mixing up categorical and numeric fields incorrectly
• Placing all fields in one bucket