# 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&#x26;token=2c17b617-c914-464b-9703-c44979cdc3d4" alt="" width="311"><figcaption></figcaption></figure>

\
**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.

<br>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.predicteasy.com/data-preprocessing/imputation.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.