This repository contains an exploratory data analysis (EDA) of pedestrian flows in Würzburg's city center. The goal of the project is to recognize patterns in visitor density, identify seasonal trends, and verify hypotheses regarding influencing factors.
The analysis helps to understand how the city moves – from the quiet morning hours to the hustle and bustle of the Christmas market.
- Temporal Patterns: Identification of peak times (Hourly, Weekdays, Monthly).
- Location Comparison: Comparison of central measurement points (e.g., Domstraße vs. Schönbornstraße).
- Event Impact: Analysis of the effects of local events and public holidays.
- Weather Impact: Investigation of the correlation between pedestrian numbers and weather conditions (if weather data is integrated).
The data foundation consists of pedestrian frequency counts.
- Source: [Würzburg Open Data Portal]
- Timeframe: [01/01/2024 to 12/31/2024]
- Granularity: [Hourly values across 3 measurement points]
- File Format:
.csv
Note: The raw data can be found in
passanten_wuerzburg.csv.
GitHub: @kargfel