Electromobility and Charging Infrastructure in Germany
The aim of this project is to investigate if there is a relationship between the charging point infrastructure and electromobility in Germany.
Correlation between rates of accidents in Germany and Münster with respect to bicycle count in Münster
Münster, a city in North Rhine-Westphalia, is the home to an estimated 500,000 bicycles. It is famous for its bike-friendly streets and is hence popularly known as the “Bicycle capital of Germany”.
Impact of Weather on Bicycle Traffic in Köln
Analyzing weather and climate data to assess bicycle traffic suitability in Köln.
Data Science Project: SAKI/AMSE Summer 2023 at FAU
Repository for a data science project in the SAKI/AMSE course at Friedrich-Alexander-Universität Erlangen-Nürnberg
Electric Vehicle Charging Patterns and Infrastructure Analysis in Germany
Analyzing the availability and usage patterns of electric vehicle charging facilities in Germany to provide insights and recommendations for future expansions.
Weather Influence on Train Delays
Analysis of weather impact on train delays using data pipeline and exploratory data analysis.
Analyzing Trees and Speed Limits in Berlin
Correlation analysis of planted trees and speed limits in Berlin
Weather-Music Association Analysis
Exploring the potential connection between music preferences and weather conditions using data science techniques.
Impact of Climate on Renewable Energy Production
Investigating the effect of weather phenomena on a power grid relying on wind/solar energy in Germany
MADE - Data Science Project
AMSE/SAKI 2023 data science project with exploration and report notebooks.
Analysis of German Federal States' GDP and Electric/Hybrid Vehicle Registration
Examining correlation between GDP and electric/hybrid vehicle shares in Germany
FAU Erlangen-Nürnberg: Data Engineering Course
Advanced Software Methods / Software Applications with AI course project repository for data engineering and analysis.
Traffic Accidents in Germany
Explore characteristics of traffic accidents and investigate correlations with road types and regions.