How to Preprocess Time Series Data with MATLAB

Versión 1.0.0 (6.38 MB) por Neha Goel
This submission shows how to preprocess time series data in MATLAB using a PMU data analysis example.
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Actualizado 21 Oct 2019

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In this submission we demonstrate how you can process, and clean time series data stored in Excel sheets, in multiple formats, and with multiple sampling rates in MATLAB. We start with importing data from excel sheets using "import tool". Next, we focus on how to prepare the data to convert to "timetable" datatype.
We further deep dive on preprocessing functions available with timetables including synchronizing the data sets to a common time reference, assessing data quality, and dealing with duplicate & missing data. At the end we show the stacked plot of variables with row times.

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Neha Goel (2024). How to Preprocess Time Series Data with MATLAB (https://www.mathworks.com/matlabcentral/fileexchange/73058-how-to-preprocess-time-series-data-with-matlab), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2019b
Compatible con cualquier versión desde R2019b
Compatibilidad con las plataformas
Windows macOS Linux
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Más información sobre Timetables en Help Center y MATLAB Answers.

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HowToPreprocessTimeSeriesData

Versión Publicado Notas de la versión
1.0.0