# Impute missing values

This task is to replace missing data in the data with estimated values based on selected method.

<figure><img src="/files/Rfz1nmMsfd3TfBMypU8g" alt=""><figcaption><p>Figure 1. Select methods to replace missing values in the data</p></figcaption></figure>

First select the computation is based on samples/cells or features, and click **Finish** to replace missing values. Some functions will generate the same results no matter which transform option is selected, e.g. constant value. Others will generate different results:

* Constant values: specify a value to replace the missing data
* Maximum: use maximum value of samples/cells or features to replace missing data depends transform option
* Mean: use mean value of samples/cells or features to replace missing data depends transform option
* Median: use median value of samples/cells or features to replace missing data depends transform option
* Minimum: use minimum value of samples/cells or features to replace missing data depends transform option
* K-nearest neighbor (mean): specify number of neighbors (N), Euclidean metric is used to compute neighbors, use mean of (N) neighbors to replace missing data
* K-nearest neighbor (median): specify number of neighbors (N), Euclidean metric is used to compute neighbors, use median of (N) neighbors to replace missing data

## Additional Assistance

If you need additional assistance, please visit [our support page](http://www.partek.com/support) to submit a help ticket or find phone numbers for regional support.


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