Subject Level Sleep Analysis

This simple data analysis project analyzes the sleeping data of a single subject with the aim of revealing interesting subject-level observations. More specifically, the analysis focuses on the sleep quality affecting factors and temporal patterns in the data. The dataset is a Kaggle dataset from Dana Diotte, obtained from: https://www.kaggle.com/datasets/danagerous/sleep-data?select=sleepdata_2.csv. The analysis was performed with Python and the utilized libraries are: Pandas, NumPy, scikit-learn, Matplotlib, and Seaborn.

Files

• The jupyter notebook containing the Python data-analysis code can be found in the /code folder.
• The project report is located in the /report folder.
• The /data folder contains the original unprocessed dataset.

Credits

This project was carried out in the Aalto University CS-C4100 - Digital Health and Human Behaviour course during the fall of 2023. The responsible teacher of the course was Talayeh Aledavood.