Data

Timeline of the most popular programming languages since 1965 to 2019. So far the most intense ranking I've ever done :) For recent years I've used multiple programming languages popularity indexes with adjustments thanks to the data from GitHub repositories access frequency. For historical ranking I've used aggregation of multiple national surveys to establish several data points, plus a world wide publications rate of occurrence. In this ranking popularity is defined by percentage of programmers with either proficiency in specific language or currently learning/mastering one. Y axis a relative value to define ranking popularity between all other items. Have fun! ***** 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: aggregated statistics from several indexes, GitHub repository access, multiple surveys