You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Using Python to visualize various datasets relating to COVID-19 in New York City. Analyses include: plotting rates by age and sex, geographic maps by zip code, and time-series plots with logarithmic axes.
This project analyzes McDonald's menu nutritional data using Python, Pandas, and Matplotlib. It provides insights into menu category distribution, nutritional correlations, and macronutrient balance, offering actionable information for consumers.
Data analysis of South African labour market trends (QLFS Q1 2025) including provincial, gender, and population group disparities with statistical validation.