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Power BIbi_tool~10 mins

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

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Sample Data

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

CellValue
A1CustomerID
B1Age
C1Income
D1Purchased
A2C001
B225
C240000
D2Yes
A3C002
B340
C360000
D3No
A4C003
B435
C450000
D4Yes
A5C004
B550
C570000
D5No
A6C005
B628
C645000
D6Yes
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
Test your understanding
Which column is the target variable in the Key Influencers visual?
AAge
BPurchased
CIncome
DCustomerID
Key Result
Key Influencers visual compares target variable groups to influencer variables to find factors affecting outcomes.