How to Preprocess Time Series Data with MATLAB

Version 1.0.0 (6,38 MB) von Neha Goel
This submission shows how to preprocess time series data in MATLAB using a PMU data analysis example.
370 Downloads
Aktualisiert 21 Okt 2019

Lizenz anzeigen

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.

Zitieren als

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. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2019b
Kompatibel mit R2019b und späteren Versionen
Plattform-Kompatibilität
Windows macOS Linux
Kategorien
Mehr zu Timetables finden Sie in Help Center und MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

HowToPreprocessTimeSeriesData

Version Veröffentlicht Versionshinweise
1.0.0