I conducted an end-to-end statistical

I conducted an end-to-end statistical analysis in R to investigate how everyday factors such as sleep, screen time, weather, temperature, and work schedules relate to productivity and daily behaviour.

I built and analysed a self-collected dataset using exploratory data analysis, statistical visualisation, hypothesis testing, regression, chi-square and Fisher’s exact tests, alongside a Bayesian Beta–Bernoulli analysis.

The analysis uncovered several patterns, including a positive relationship between sleep and productivity, while weather showed little meaningful relationship with sleep or work attendance.

The complete analysis was developed as a reproducible R Markdown report, combining statistical methods with clear, non-technical explanations of the results.

Key skills: R · Statistical Analysis · Data Analysis · Data Visualization · Regression · Hypothesis Testing · Bayesian Statistics · R Markdown