Welcome to TSCC’s documentation!#

Welcome to TSCC (Time Series Check and Correct), the package for data quality management. You can determine and improve the accuracy of your data quality for right-skewed timeseries. This is a comprehensive guide to using our software.

Getting started#

The following links guide you through for your first steps in using TSCC, including an installation guide.

Getting Started

Usage#

The below sections provide you with basic examples of using the different kinds of functionalities.

Usage

API-Reference#

You can look up the specific parameter options, output and example code within the API-Reference.

API-Reference

Feedback#

We appreciate your feedback! If you have any questions, suggestions or think of a collaboration, please contact us at surname.name@uni-due.de (Karen Schulz), Institute of Hydraulic Engineering and Water Resources Management at University Duisburg-Essen.

Acknowledgements#

This package was developed with funding from the KIWaSuS research project (https://kiwasus.de/), supported by the Federal Ministry of Education and Research Germany, grant nr. 13N15559.

Citation#

Please cite the following when using TSCC in your academic publication.

 @software{TSCC,
   author = {Karen Schulz, Jan Erik Kunze, Dominik Martin, Thorsten Mietzel, Andre Niemann},
   title = {TSCC: Time Series Check and Correct},
   year = {2024},
   version = {0.1.0},
   organization = {Institute of Hydraulic Engineering and Water Resources Management, University Duisburg-Essen},
   url = {https://pypi.org/project/TSCC/},
   note = {Licensed under the GNU General Public License v3 (GPLv3) License. See https://www.gnu.org/licenses/gpl-3.0.en.html for details.}
}