The Data Cleaning component gives you quick strategies to deal with missing values across selected features.Documentation Index
Fetch the complete documentation index at: https://docs.clickml.app/llms.txt
Use this file to discover all available pages before exploring further.
Configuration
| Option | Description |
|---|---|
| Features | Columns to apply the strategy to. Select individual columns, All Numerical Features, or All Categorical Features. |
| Strategy | How to handle missing values (see table below). |
Strategies
| Strategy | What it does |
|---|---|
| Drop Rows | Remove rows that have a missing value in any selected column |
| Drop Columns | Remove the selected columns entirely |
| Fill with Mean | Replace missing values with the column mean (numerical only) |
| Fill with Median | Replace missing values with the column median (numerical only) |
| Fill with Mode | Replace missing values with the most frequent value |
| Fill with ffill, bfill | Forward-fill then backward-fill missing values |
Input / Output
| Type | |
|---|---|
| Input | DataFrame |
| Output | DataFrame |
If no features are selected or Strategy is left at “Select”, the component passes the DataFrame through unchanged.