# Analyse der Tübinger Studentendaten

> Hackathon project: We show beautiful visualizations, such as graphs, relationships, maps and bubble charts to the Tübingen student data.

**Wikidata**: [Q113592817](https://www.wikidata.org/wiki/Q113592817)  
**Source**: https://4ort.xyz/entity/analyse-der-tubinger-studentendaten

## Summary
**Analyse der Tübinger Studentendaten** is a data visualization and storytelling project created for the hackathon **Coding Da Vinci Baden-Württemberg 2022**. It focuses on enriching and visualizing historical student data from the University of Tübingen spanning from 1829 to 1906. The project presents this information through interactive visual formats, including graphs, maps, and bubble charts.

## Key Facts
- **Event:** Created for **Coding Da Vinci Baden-Württemberg 2022**.
- **Data Source:** Uses **Studierendendaten der Universität Tübingen 1829-1906** (Student data of the University of Tübingen).
- **License:** Released under the **MIT License**.
- **Project Type:** Classified as a project, data enrichment, storytelling, visualization, and website.
- **Visualizations:** Features graphs, relationships, maps, and bubble charts.
- **Copyright Status:** Copyrighted.
- **Language:** Described in German at `codingdavinci.de`.

## FAQs
### Q: What specific data does this project analyze?
A: The project analyzes the "Studierendendaten der Universität Tübingen 1829-1906," which consists of historical student records from the University of Tübingen covering the years 1829 to 1906.

### Q: What was the purpose of creating this project?
A: It was developed as a hackathon project for "Coding Da Vinci Baden-Württemberg 2022" to transform raw historical data into "beautiful visualizations" and storytelling elements.

### Q: What types of visualizations are included in the project?
A: The project utilizes graphs, relationship diagrams, maps, and bubble charts to display the data.

## Why It Matters
This project serves as a significant example of digital humanities and open data usage, demonstrating how historical records can be transformed into accessible, interactive experiences. By focusing on the **University of Tübingen's student data from 1829 to 1906**, it unlocks nearly eight decades of academic and social history that might otherwise remain inaccessible in raw archival formats.

The project matters because it bridges the gap between static historical data and modern digital literacy. Through **data enrichment** and **visualization**, it allows users to identify patterns, relationships, and trends in the student body that would be difficult to discern from text lists alone. As a submission for **Coding Da Vinci**, a prominent German cultural hackathon, it highlights the potential of combining cultural heritage with coding skills to create educational and engaging web tools. Its release under the **MIT License** further ensures that the methodology and code can be reused and adapted by other researchers and developers.

## Notable For
- **Historical Data Visualization:** Transforming 19th-century university records into modern charts and maps.
- **Multi-Format Display:** Utilizing a diverse range of visual tools including bubble charts and relationship graphs.
- **Hackathon Recognition:** Being an official project developed for Coding Da Vinci Baden-Württemberg 2022.
- **Data Enrichment:** Enhancing incomplete or missing historical datasets to create a fuller picture of the past.

## Body

### Project Overview
**Analyse der Tübinger Studentendaten** is a digital project defined by its role in data enrichment, storytelling, and visualization. It operates as a web-based interface designed to make historical datasets comprehensible and visually engaging.

### Development and Context
The project was specifically developed for the **Coding Da Vinci Baden-Württemberg 2022** hackathon. It functions as a "data enrichment" initiative, suggesting that the team not only visualized existing data but also supplemented it to fill gaps or create new connections. The project is accessible via a website and is fully described on the Coding Da Vinci project page.

### Data Scope
The core subject of the analysis is the **Studierendendaten der Universität Tübingen 1829-1906**. This dataset provides a retrospective look at the student body of one of Germany's prominent universities during the 19th and early 20th centuries.

### Visual and Technical Features
The project distinguishes itself through a variety of visualization techniques designed to reveal different aspects of the data:
*   **Graphs and Relationships:** Used to show connections between students, faculties, or time periods.
*   **Maps:** Likely utilized to visualize the geographical origins of the students.
*   **Bubble Charts:** Employed to display quantitative relationships or hierarchies within the student data.

The project code or assets are shared under the **MIT License**, while the project content maintains a copyrighted status. An image representing the project is archived at `https://commons.wikimedia.org/wiki/Special:FilePath/Analyse_Tübinger_Studentendaten_Projektbild.jpg`.