Information designer, data visualization engineer📈, 🇺🇦🇺🇦🇺🇦
Day 29: #30DayChartChallenge. Annual global corporate investment in artificial intelligenceDay 27: #30DayChartChallenge. Highway to Hell. russian ruble vs. US DollarDay 25: #30DayChartChallenge. Global Internet users, 1990-2017. Gapminder StyleDay 26: #30DayChartChallenge. Pattern of Chornobyl disaster. Local change which changed the worldDay 24: #30DayChartChallenge. Proportion of seats held by women in national parliamentsDay 23: #30DayChartChallenge. Highest point of each region of UkraineDay 22: #30DayChartChallenge. Renewable energy in UkraineDay 18: #30DayChartChallenge. Eurostat Data. Population in EuropeDay 21: #30DayChartChallenge. russian losses in Ukraine. Small multiples line chartsDay 19: #30DayChartChallenge. Is our world population graying?Day 11: Circular #30DayChartChallenge. Ukrainian oblasts by areaDay 17: #30DayChartChallenge. Family Guy. Collaboration among directors and writers by number of episodesDay 16: #30DayChartChallenge. Family Guy TV ShowDay 15: #30DayChartChallenge. Yearly Min and Max Air Temperature in Kyiv Since 1881Day 14: #30DayChartChallenge. Anscombe's quartet. Vega-LiteDay 13: #30DayChartChallenge. Notable Pop Art ArtistsDay 10: Hybrid war #30DayChartChallenge Word CloudDay 9: Hight/Low #30DayChartChallengeDay 8: Humans #30DayChartChallengeDay 7: Hazards #30DayChartChallenge. Guess what it meansDay 6: OWID #30DayChartChallenge. Number of nuclear weapons tests, 1945 to 2019Day 5: Slope #30DayChartChallengeDay 4: Historical #30DayChartChallenge. Wars and conflicts in EuropeDay 3: Fauna/Flora #30DayChartChallengeDay 1: Part-to-whole #30DayChartChallengeDay2 #30DayChartChallenge, Waffle chart. Aerial target losses
Day 12: #30DayChartChallenge. Number of news articles about Ukraine at BBC News
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.