Curve Fitting Toolbox

Previewing and Preprocessing Data

Curve Fitting Toolbox supports a comprehensive workflow that progresses from exploratory data analysis (EDA) through model development and comparison to postprocessing analysis.

You can plot a data set in two or three dimensions. The toolbox provides options to remove outliers, section data series, and weight or exclude data points.

Curve Fitting Toolbox lets you automatically center and scale a data set to normalize the data and improve fit quality. The Center and scale option can be used when there are dramatic differences in variable scales or the distance between data points varies across dimensions.

Normalizing data with the Center and scale option to improve fit quality.

Normalizing data with the Center and scale option to improve fit quality.

Outlier exclusion using the Curve Fitting app.

Outlier exclusion using the Curve Fitting app (top). You can create exclusion rules (middle) to remove all data points that match some specific criteria, and use the graphical exclusion option (bottom) to click on a data point and remove it from the sample.

Weighting data points using the Curve Fitting app.

Weighting data points using the Curve Fitting app.

Next: Developing, Comparing, and Managing Models

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Battery Data Acquisition and Analysis Using MATLAB

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