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RStudio for data maturity
July 14, 2021

RStudio for data maturity

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with RStudio

It is used to deliver data focused clinical research covering a wide range of clinical areas. It is also being used to develop automated documents and analytics using r markdown documents. This is covering areas of interest within both the university and also our clinical collaborators including hospital, primary care and other healthcare stakeholders.
  • User friendly.
  • Good customer support.
  • Integration of more than R.
  • Good documentation.
  • Automatically advising of updates.
  • The pricing model for RStudio Connect makes it an unfeasible prospect for large public sector organisations.
  • The sales yes can sometimes feel quite pushy.
  • Consistent and reproducible coding output.
  • Improved flexibility over tools used previously e.g. Tableau.
  • Required upskilling of staff.
These all work synergistically and fulfill slightly different roles. In general this is determined by complexity of task and the degree of training and expertise of the end user. RStudio works well for organisations looking to move into doing more complex analytics. In general Spyder or Jupyter are still used more frequently when looking at more complex machine learning.
It is well suited to organisations looking to provide a single IDE which is well laid out for the purpose of data analytics. This format works well for individuals looking to iteratively develop code en block as an alternative to the notebook approach which can sometimes be less well suited to non academic projects.