How to Preprocess Time Series Data with MATLAB

Version 1.0.0 (6,38 Mo) par Neha Goel
This submission shows how to preprocess time series data in MATLAB using a PMU data analysis example.
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Mise à jour 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.

Citation pour cette source

Neha Goel (2024). How to Preprocess Time Series Data with MATLAB (, MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2019b
Compatible avec les versions R2019b et ultérieures
Plateformes compatibles
Windows macOS Linux
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