Clean Missing Data

Find, fill, or remove missing data in the Live Editor

Description

The Clean Missing Data task lets you interactively handle missing data values such as NaN or <missing>. The task automatically generates MATLAB^® code for your live script.

Using this task, you can:

• Find, fill, or remove missing data in a workspace variable.

• Customize the method for filling data.

• Automatically visualize the missing data and the cleaned data.

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Open the Task

To add the Clean Missing Data task to a live script in the MATLAB Editor:

• On the Live Editor tab, select Task > Clean Missing Data.

• In a code block in the script, type a relevant keyword, such as missing or remove. Select Clean Missing Data from the suggested command completions.

Examples

Related Examples

• Add Interactive Tasks to a Live Script
• Clean Messy Data and Locate Extrema Using Live Editor Tasks
• Missing Data in MATLAB

Parameters

Input data — Valid input data from workspace

vector | table | timetable | ...

This task operates on data of type single, double, duration, calendarDuration, datetime, categorical, string, char, and cell arrays of character vectors. The data can be contained in a vector or table variables. When providing a table or timetable for the input data, specify All supported variables to clean all variables with a supported type. Choose All numeric variables to clean all variables of type single or double. To choose specific supported variables to clean, select Specified variables and then select the variables individually.

Fill method — Method for filling missing data

Linear interpolation (default) | Constant value | Previous value | Next value | Nearest value | Spline interpolation | Shape-preserving cubic interpolation (PCHIP) | Modified Akima cubic interpolation | Moving median | Moving mean | ...

Specify the method for filling missing data using one of the following options.

Method	Description
Linear interpolation	Linear interpolation of neighboring, nonmissing values.
Constant value	Specified constant value.
Previous value	Previous nonmissing value.
Next value	Next nonmissing value.
Nearest value	Nearest nonmissing value.
Spline interpolation	Piecewise cubic spline interpolation.
Shape-preserving cubic interpolation	Shape-preserving piecewise cubic spline interpolation.
Modified Akima cubic interpolation	Modified Akima cubic Hermite interpolation.
Moving median	Moving median with specified window size.
Moving mean	Moving mean with specified window size.

Window — Window for moving methods

Centered (default) | Asymmetric

Specify the window type and size when the method for filling missing data is Moving median or Moving mean.

Window	Description
Centered	Specified window length centered about the current point
Asymmetric	Specified window containing the number of elements before the current point and the number of elements after the current point

Window sizes are relative to the X-axis variable units.