> For the complete documentation index, see [llms.txt](https://hwasumok.gitbook.io/r-flow/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hwasumok.gitbook.io/r-flow/r/data-preprocess/data-cleansing-missing-duplicate-data/imputate-outliers.md).

# Outlier Imputer

Imputate Outliers

## Imputate Outliers

### Input Data

|                   | Input                                    |
| ----------------- | ---------------------------------------- |
| **Target Data**   | Input data that may contain outliers     |
| **Output Name**   | Name of the data after imputation        |
| **Replace Value** | Choose one of the methods for imputation |

### Replace Value

The program will automatically detect if there are any outliers. Click the cell under 'Replace Value' column for imputation method selection.

![\[Task Information of Imputate Outliers\]](https://3929524962-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MGaxNdSdRN_L_WNiX4I%2F-MLNev0vIW7b613JTo-u%2F-MLNfxMCxX0ViJAKqulS%2Fimage.png?alt=media\&token=c03a1c90-76e4-4394-a051-204db8ac16a6)

## Workflow Example 

![](https://3929524962-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MGaxNdSdRN_L_WNiX4I%2F-MLSoDCRRfUPUCCaEw4s%2F-MLSswgn6zM6EoVtr7i9%2Fimage.png?alt=media\&token=31b1efde-3b86-4d8b-be70-2c94b0cee3d9)

## R Package

<https://cran.r-project.org/web/packages/dlookr/index.html>