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Update tutorial-data-science-create-report.md #736

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Nov 5, 2024
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Update tutorial-data-science-create-report.md #736

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6 changes: 3 additions & 3 deletions docs/data-science/tutorial-data-science-create-report.md
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Original file line number Diff line number Diff line change
Expand Up @@ -94,7 +94,7 @@ Now add a few measures to the semantic model:
1. To determine the churn rate for Germany, replace `Measure =` in the formula bar with:

```python
Germany Churn = CALCULATE(customer_churn_test_predictions[Churn Rate], customer_churn_test_predictions[Geography_Germany] = 1)
Germany Churn = CALCULATE(AVERAGE(customer_churn_test_predictions[predictions]),FILTER(customer_churn_test_predictions, customer_churn_test_predictions[Geography_Germany] = TRUE()))
```

This filters the rows down to the ones with Germany as their geography (Geography_Germany equals one).
Expand All @@ -106,13 +106,13 @@ Now add a few measures to the semantic model:
* Spain's churn rate:

```python
Spain Churn = CALCULATE(customer_churn_test_predictions[Churn Rate], customer_churn_test_predictions[Geography_Spain] = 1)
Spain Churn = CALCULATE(AVERAGE(customer_churn_test_predictions[predictions]),FILTER(customer_churn_test_predictions, customer_churn_test_predictions[Geography_Spain] = TRUE()))
```

* France's churn rate:

```python
France Churn = CALCULATE(customer_churn_test_predictions[Churn Rate], customer_churn_test_predictions[Geography_France] = 1)
France Churn = CALCULATE(AVERAGE(customer_churn_test_predictions[predictions]),FILTER(customer_churn_test_predictions, customer_churn_test_predictions[Geography_France] = TRUE()))
```

## Create new report
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