This project explores global life expectancy trends using the Analyst Builder platform. It showcases interactive dashboards and visual analytics to uncover relationships between life expectancy and factors such as GDP, healthcare spending, and country development status.

This dataset explores life expectancy across 193 countries (2000-2015), focusing on immunization, mortality, economic, social, and health factors. Using WHO and UN data, it employs mixed effects and regression models with 20 predictors, such as GDP, immunization rates, and mortality, offering actionable global health insights.

This is an analysis report for life expectancy of humans globally based on dataset taken from Kaggle. Done as part of Foundation in Data Science course group assignment in semester 4 of college.

Data cleaning and exploratory data analysis on global life expectancy and the factors that influence it using SQL.

Exploring the relationship between health spending and life expectancy using Seaborn's healthexp dataset. A beginner-friendly data visualization project that reveals key insights through jointplots, log scale transformations, and country-level highlights.