This project aims to compare the performance and usability of two different input devices (Eingabegerät A and Eingabegerät B). Using a dataset of study results, the script generates statistical visualizations to identify trends and performance gaps.
Based on the generated boxplot, the study reveals significant differences:
- Central Tendency (Median): Eingabegerät A (Median ≈ 2.0) performed significantly better than Eingabegerät B (Median ≈ 4.5).
- Data Spread (Variance): Eingabegerät B has a much larger Interquartile Range (IQR), indicating that user performance was inconsistent and highly variable.
- Range: * Eingabegerät A: Results are tightly clustered between 1.0 and 4.0.
- Eingabegerät B: Results are widely dispersed, ranging from 2.0 to 7.0.
- Conclusion: Eingabegerät A is the more efficient and reliable device for this task, producing lower values with higher consistency.
- Language: Python 3.12.2
- Libraries: Pandas, Matplotlib
1.Clone the repository:
git clone https://github.com/demgn/Quantitative_analyse.git
2. Install dependencies:
pip install pandas matplotlib
3. Ensure you have the data file study_results.csv in the root folder.
4. Run the script:
python main.py
Developed as part of my Software Engineering studies @ University of Duisburg-Essen.