Amazing open source tools
December 15, 2020
Amazing open source tools
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with RStudio
[Used for] Data management and data analysis in research.
- Data wrangling
- See the data and the environment in IDE
- Rmarkdown output in many forms
- Readable code
- Addins
- Rainbow parentheses
- Encourages open community & diversity
- Fun conference
- Segregation between high end and open source
- Need a clear Shimano-Style trickle down timeline of technology - so that what is available for Pro premium now should be in the open source version in N (5? 10?) years.
- Help teach new, diverse community to become coders and package-makers - pretty good now, but still fairly jargon-y and a steep learning curve. More resources to reach more people & move them from Excel to reproducible research.
- Make writing functions in the tidyverse cleaner and easier. Tidyeval is still a bit of a mess. Much better with curly-curly, but still many exceptions. still a ways to go.
- Ggvis is a neglected appendage. Should it be retired? is there a newer, better framework for interactive plots that can be used?
- Embrace open source package developers who do great stuff, like flextable. Too often RStudio uses its bully pulpit to overrun existing packages (patchwork > cowplot, gt > flextable). Embrace these folks and bring them into the fold (well done with Claus Wilke. Would like to see something like that with David Gohel.
- Would like to see a semi-automated workflow to take a dataset and generate oxygen documentation for each variable.
- More efficient data analysis
- Easier data sharing
- No need for Tableau
[RStudio is] so much more flexible.