Actually, I really like these two GUIs which build on the strengths of R by combining the data-exploratory tools that Hadley Wickham created with the visual app

Actually, I really like these two GUIs which build on the strengths of R by combining the data-exploratory tools that Hadley Wickham created with the visual appeal of ggplot2 (also Hadley!), plot.ly, etc; 1. https://exploratory.io/ https://exploratory.io/ 2. Radiant: https://radiant-rstats.github.io/docs/index.html https://radiant-rstats.github.io/docs/index.html Microsoft IDEAR looks good, too: https://github.com/Azure/Azure-TDSP-Utilities/blob/master/DataScienceUtilities/DataReport-Utils/R/team-data-science-process-idear-instructions.md https://github.com/Azure/Azure-TDSP-Utilities/blob/master/Da... In addition, the automatic insights generated by Power BI are another example of how GUIs can help even the hardcore command-line ninja: https://docs.microsoft.com/en-us/power-bi/service-insights https://docs.microsoft.com/en-us/power-bi/service-insights