This repository is used to analyze the workshops of the DLR internal workshop series on software engineering. These workshops are two-day events of the DLR software engineering community and focus on different main topics every year. The Juypter notebook gives an overview about the basic workshop data and insights into the participant attendance behavior.
The analysis has been performed on Windows 7 using Python 3.5.4 and Jupyter notebook. The analysis code makes use of the libraries pandas (BSD 3-Clause License) and matplotlib (Matplotlib License).
- Install Jupyter: https://jupyter.readthedocs.io/en/latest/install.html
- We used Python 3.5.4 on Windows 7. The dependencies are captured in the requirements.txt
file which we installed in a Python virtual environment as follows:
python -m venv envenv\Scripts\activate.batpip install -r requirements.txt
- Start Jupyter:
jupyter notebook - Your browser should start and you can select the analysis notebook.
If you use this work, please cite it using the metadata provided in the CITATION file. For more information on the format, please see Citation File Format (CFF).
The whole material including data sets and analysis code is licensed under the terms of the MIT License.
- Final corrections for a clean Zenodo version
- Corrected publication date in citation file
- Initial version
- Overview of workshop and participant data from five workshops performed between 2014 and 2018
- Basic analysis of participant attendance behavior