Data is Beautiful

One of the most requested videos by my subscribers. Money grossing comparison of Star Wars franchise movies versus Marvel and DC from 1977 to 2019. Numbers are worldwide gross revenue adjusted for ticket price inflation. Hence continuous growing of numbers after initial release.

Timeline history of baby names from 1880 to 2019.

Biggest city populations from 1950 to 2015, extended to the year 2035 based on UN World Urbanization projections.

Estimates of early world population from 10000 BC to 1900 relative to present day countries boundaries. Data is based on historical censuses and archaeological findings projection.

Sorry guys! Had to re-upload it due to some errors in the parsed data. Thanks to sharp-sighted commentators :) Popularity score of the largest YouTube channels since 2012 to 2019 ranked by subscribers count.

That was super fun to do :) The highest-grossing movie franchises of all time. Measured worldwide unadjusted for ticket price inflation. Only film series are included here, in case anyone will ask where the hell is Avatar? *** I am a first year PhD student, data geek and I love visualizations. As always your feedback is welcome. Please support my channel. It can buy me another cup of coffee :) Data source: worldwide ticket sales reports