Sleep Patterns of College Students

The dataset consists of **1,222 responses** and includes information on students’ age groups, year of study, average sleep duration, usual bedtime, phone usage before sleeping, perceived sleep quality, frequency of late-night studying or working, daytime tiredness, difficulty concentrating during college hours, and the primary reasons for sleeping late.

The data can be used to investigate relationships between sleep patterns and factors such as smartphone usage, academic workload, entertainment activities, and late-night study habits. It may also support exploratory data analysis, statistical analysis, visualization, and machine learning studies related to student sleep behavior and its potential association with daytime fatigue and concentration. The dataset is provided in **CSV format** and is suitable for educational, academic, and research purposes involving data analysis, machine learning, and student behavioral studies.