An interactive timelapse of the COVID-19 pandemic.

The COVID-19 Global Data Tracker is a Python-based project that visualizes and analyzes global COVID-19 data. It uses the Our World in Data (OWID) dataset to provide insights into cases, deaths, vaccinations, and other key metrics.

Python script to plot time series of data related to COVID19 pandemic. This repository also includes a Python-independent executable (Windows 7+) version of the script.

Mappize turns any geographic dataset into a publication-ready, social-media-optimised map with a single function call. No QGIS. No D3. No GeoJSON wrangling. Just: mappize("co2")

Visualisation of nuclear stockpiles over time.

A full-stack data visualization dashboard for CO₂ emissions analysis of Egypt, built with Flask, Plotly.js, and Pandas. Features real-time AI context, animated timelines, and data from the World Bank & UNDP. 🌱

Covid-19 Cases vs Tests Analysis in Canada and the USA

Documentation for COVID-19 testing data in Italy

OWID electricity: predict recarbonization surge risk (next 1–2 years).

COVID-19 Vaccines in the World is a Twitter bot which tweets the percentage of fully vaccinated people in various countries in the world. Powered by @owid.

OWID excess mortality: predict persistence risk over the next 4–12 weeks.

Bayesian inference on the COVID-19 infection mortality rate using JAGS and STAN.

🤖 CLI utility to fetch Covid-19 data from the OWID Repository and put it into a mysql database.

Global COVID-19 data journalism project: OWID data, Tableau dashboards (TWBX), and a short report. Focus on per-million metrics, temporal patterns (2020–2024), regional disparities, policy stringency & vaccination impact.

OWID MCP — Our World in Data chart/indicator access (free, no auth)