https://padlet.com/preimann_undefined/tghjn8ika5vi Made with an open mind en-us 2020-01-31 10:49:08 UTC 2026-01-11 22:34:29 UTC hello@padlet.com preimann_undefined https://padlet.com/preimann_undefined/tghjn8ika5vi/wish/438669122 The data get loaded into a dashboard which can be controlled with filters etc (on the left). The dashboard is a Shiny R application that can run on a local machine or be hosted on the web.  The data are directly imported from the Worldbank on nations' CO2 emissions]]> 2020-01-31 10:50:42 UTC https://padlet.com/preimann_undefined/tghjn8ika5vi/wish/438669122 preimann_undefined https://padlet.com/preimann_undefined/tghjn8ika5vi/wish/438674803 The blog with the example. Click to view. ]]> 2020-01-31 11:14:56 UTC https://padlet.com/preimann_undefined/tghjn8ika5vi/wish/438674803 preimann_undefined https://padlet.com/preimann_undefined/tghjn8ika5vi/wish/438676279 For a wider audience]]> 2020-01-31 11:21:26 UTC https://padlet.com/preimann_undefined/tghjn8ika5vi/wish/438676279 preimann_undefined https://padlet.com/preimann_undefined/tghjn8ika5vi/wish/438686242 The notebook contains the analysis code behind the dashboard with the state of the dashboard at export time. Below we see how the bargarph can be created. From here, one can perform more advanced analysis which then can be displayed in a  'pretty' format of the notebook (html, pdf, word, ...). This makes the analysis reproducible also.]]> 2020-01-31 12:00:28 UTC https://padlet.com/preimann_undefined/tghjn8ika5vi/wish/438686242 preimann_undefined https://padlet.com/preimann_undefined/tghjn8ika5vi/wish/438686781 2020-01-31 12:02:39 UTC https://padlet.com/preimann_undefined/tghjn8ika5vi/wish/438686781 preimann_undefined https://padlet.com/preimann_undefined/tghjn8ika5vi/wish/438687888 For expert and non-expert audience]]> 2020-01-31 12:07:24 UTC https://padlet.com/preimann_undefined/tghjn8ika5vi/wish/438687888