Commit 84e40704 authored by Weigert, Andreas's avatar Weigert, Andreas
Browse files

corrected wrong description of code

parent 2162618c
......@@ -189,7 +189,7 @@ APC$Filter_IsConsumptionOutlier2 <- (is.outlier_sigma(APC$NCons_2011, sigma = 2)
```
When using the IQR-method, `r prop.table(table(APC$Filter_IsConsumptionOutlier))[2]*100` % of the values are identified as outliers.
When using the IQR-method, `r prop.table(table(APC$Filter_IsConsumptionOutlier2))[2]*100` % of the values are identified as outliers.
When using the Sigma-method, `r prop.table(table(APC$Filter_IsConsumptionOutlier2))[2]*100` % of the values are identified as outliers.
After identifiying outliers you need to decide how to deal with them. Typically, you can tim, winsorize, or label outliers. Finally it depends on the business questions what strategy is the best.
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