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Good tool for statistical data scientists
March 30, 2020

Good tool for statistical data scientists

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with RStudio

Since my company is a large financial institution, tools used with some groups might not be shared with other groups and some tools used in some geographical locations might not be used in other locations. R and Rstudio is such a tool. RStudio is basically the default option if you are using R.
  • Easy.
  • Clear.
  • Free.
  • No multi-language.
  • Version control is hard.
  • Manage environment.
  • Quick.
  • Cutting edge stats.
  • Cutting edge visualization.
Comparing RStudio to PyCharm is basically comparing R to Python, since if it is only comparing the IDEs in R, there are almost no competitors that have the same level of ability as RStudio. However, there is a trend of shifting from R to Python and PyCharm would be very strong.
As a free tool, what would you expect to get from RStudio for support? Since RStudio is a well known tool for statistical data scientists, it is very easy to find your support or answer from the R or RStudio community online.

Do you think Posit delivers good value for the price?

Yes

Are you happy with Posit's feature set?

Yes

Did Posit live up to sales and marketing promises?

Yes

Did implementation of Posit go as expected?

Yes

Would you buy Posit again?

Yes

RStudio is well suited for statisticians and companies heavily depending on stats. It is less appropriate for companies focused on black box model or even deep learning models and does not use stats modelling that much. It is also not appropriate for OOP.