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A web application developed for the data collection team at the University of the Free State. The app, named MARS combines weekly attendance register files into a single bulk/aggregated attendance file.

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mars.v1.0.0

Tekano Mbonani

System Docs πŸ“ƒ

A web application developed for the data collection team at the Centre fo Teaching and Learning (CTL) of the University of Free State. The app, named MARS: combines weekly attendance register files into a single bulk/aggregated attendance file. The user has the option of adding, removing, renaming data file columns and editing rows prior to downloading the combined files.

Software Requirements πŸ”Œ

You will need to install the following software on your system in order to run/edit the Python script.

  • Mac OS/ Ubuntu 18.04 OS
  • Python 3.10.12
  • Textedit/ IDE - spyder, jupyter-notebook
  • libraries
    • streamlit
    • pandas
    • time

Running the code

To run the MARS locally, one must have an anaconda/conda environment set up. Load the environment, navigate to the directory with the app then run the mars.py code:

$ streamlit run streamlit_app.py

The Web Application has successfully been deployed on the streamlit cloud, users can access it here: https://marsv100-da5bwqvb8pdtbck8yjqdme.streamlit.app/

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A web application developed for the data collection team at the University of the Free State. The app, named MARS combines weekly attendance register files into a single bulk/aggregated attendance file.

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