RStudio from a Grad Student's POV
April 14, 2022

RStudio from a Grad Student's POV

Anonymous | TrustRadius Reviewer
Score 6 out of 10
Vetted Review
Verified User

Overall Satisfaction with RStudio

RStudio is used as a supporting program for graduate-level courses, such as Experimental Research Methods. It helps students understand how to clean, analyze, and visualize quantitative data. The scope of my use case is 10-week courses that have used RStudio in different ways, i.e., information visualization and data transformation.
  • Cleaning large datasets
  • Automating the data transformation process
  • Customizing datasets, plots, etc.
  • Unintuitive importing/exporting CSVs and/or datasets
  • Console errors are difficult to understand and not informative
  • Steep learning curve, especially for those unfamiliar with R and programming
  • Cutting down on time
  • Lower costs of data exploration
  • Facilitating data insights
The most similar products to RStudio that I have used include IBM SPSS and Tableau Prep. In my experience, SPSS is more intuitive and has less of a learning curve; I used it extensively in my undergraduate career in Statistics and Cognitive Science research. While RStudio has more of a learning curve, I'd say that I am more rewarded by learning how to use it. It is valuable and easily applicable in my industry, which is why I would recommend it over SPSS and Tableau Prep for data cleaning. However, if your goal is information visualization, I'd recommend Tableau Prep.

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Figma, Adobe Illustrator CC, Notion, Slack, Zoom, IBM SPSS, Miro, MURAL (formerly
RStudio is the best option I've seen for data cleaning, prep, and transformation. Other tools, such as Tableau or Excel, are not easily transferrable to other formats or are manual and take too much time. RStudio is less appropriate for small datasets and academic courses that won't dedicate as much time to learning the fundamentals of R.

Posit Feature Ratings

Connect to Multiple Data Sources
Extend Existing Data Sources
Automatic Data Format Detection
Not Rated
Interactive Data Analysis
Not Rated
Interactive Data Cleaning and Enrichment
Data Transformations
Multiple Model Development Languages and Tools
Single platform for multiple model development
Self-Service Model Delivery
Flexible Model Publishing Options
Not Rated
Security, Governance, and Cost Controls
Not Rated