> For the complete documentation index, see [llms.txt](https://docs.predicteasy.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.predicteasy.com/data-preprocessing/imputation.md).

# Imputation

Imputation refers to the process of **replacing missing data with substituted values.** The missing data might be filled using different statistical methods such as mean, median, or mode imputation, or even more sophisticated methods like K-nearest neighbors or predictive models to estimate the missing values based on other available information.

<figure><img src="https://2063668468-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9RcwqzNNsjo496JLJ2Ob%2Fuploads%2F3T0krRJWQtbEC6QI2tRh%2Fimage.png?alt=media&amp;token=2c17b617-c914-464b-9703-c44979cdc3d4" alt="" width="311"><figcaption></figcaption></figure>

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**Steps to follow:**

1. Choose the column where you want to perform the "Imputation" operation.&#x20;
2. Look for the "Imputation" option within PredictEasy.&#x20;
3. Select the method of Imputation such as Mean or Median.
4. Initiate the "Imputation" operation. This action triggers the imputation process.

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