🌍 Explore and visualize Gapminder data to understand global socioeconomic trends in life expectancy, GDP, and population from 1952 to 2007.

ETL and visualization scripts to develop & display equity indicator trends relevant to VISION 2050 policies.

Socio-Economics of Russia

Mortality data pipeline — weekly/yearly deaths, life expectancy, ASMR for 100+ countries

Track Global Mortality, Life Expectancy & Excess Deaths

A single-page, no-dependency web app that lets a user enter their birth date, country, and gender to estimate remaining days, weeks, months, and years based on life expectancy data, with caching, fallback dataset, and accessible, responsive UI.

An Angular 17 and D3.js application featuring five interactive visualizations to analyze global life expectancy. It examines correlations between longevity and factors such as GDP, immunization, and health expenditure through dynamic dual-axis charts, bubble plots, heatmaps, and linear regression models.

Analysis of life expectancy over the period 2000 - 2015, including demographic, health and economic indicators. The report features life expectancy trends over the reporting period, how life expectancy contrasts with GDP and countries with highest life expectancy in 2015

Comparative analysis of machine learning models for life expectancy prediction using WHO data

R library for the Life Expectancy Monitoring Tool

Comparative analysis of nonparametric regression methods (KNN, LOWESS, Bin, Kernel, Local Linear) to explore the nonlinear relationship between health expenditure and life expectancy using WHO data (2000–2015).

Exploratory data analysis and visualization of the Gapminder dataset, focusing on life expectancy, GDP per capita, and population trends across countries and continents from 1952 to 2007 using Python and Seaborn.

A simple Lua script that calculates your approximate age in years, months, days, hours, and even fun stats like laughs, breaths, and heartbeats based on your birth year.

This project demonstrates how to clean, analyze, and visualize global life expectancy data using Python and pandas. It includes descriptive statistics, trends over time, and comparisons between countries, with clear visualizations for Greece and the top 10 countries in 2023

This project explores global life expectancy data using SQL. It analyzes trends and relationships between life expectancy, GDP, BMI, and adult mortality while applying SQL techniques such as data cleaning, aggregations, grouping, and window functions.

A modern, interactive web application that visualizes your life progress by calculating your age and comparing it to the expected life expectancy based on your gender and location. Built with React, Vite, and Tailwind CSS.

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.

UC Berkeley COGSIC 1 Spring 2020

Проект в рамках программы "Цифровая кафедра университета Иннополис: Сервисы ИИ в Здравоохранении"

A professional and interactive Streamlit dashboard visualizing World Bank indicators (CO₂ emissions, GDP per capita, population, life expectancy) on animated choropleth maps using Plotly.