OpenData Analysis - Ein paar Beispiele
A few quantitative thoughts on parking in Marburg
What is your car’s favourite spare time hobby? It parks around. In this project, I investigated the parking behaviour for the case of Marburg (a city 1h from Frankfurt known for its university). The analyses comprise of a time series analysis, day-time usage of parking spots and the computation of periodicities in the parking signal with autocorrelations. Lastly, I used a Gaussian Process to predict the parking demand at locations that do not feature a parking deck - such as the university Mensa.
Mensalysis
… was a Friday evening project to investigate the variety, pricing and ingredients of german mensa food. We set a focus on Marburg University, as we thought there was not that much of a variety. We ended up pulling the Data from OpenMensa and starting analysis, but never stepped too deep into it.
The code for pulling the data and the analysis is available in the respective GitHub repository.
Data-Mining in Python
- BeautifulSoup - Web Scraping
- Pandas - Data analysis and manipulation Tool
- Seaborn - Statistical data visualization
- Plotly - Interactive Graphing Libraries
- Jupyter Lab / Notebook - Interactive Python Development
Data-Mining in Java
- JSoup - Web Scraping
- jfreechart - Diagrams
- OpenCSV - CSV Parser
- ApacheCommonCSV - alternative CSV parser