RStudio from a Grad Student's POV
April 14, 2022
RStudio from a Grad Student's POV
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
- Tableau Desktop, MURAL (formerly Mural.ly), Miro, Adobe Illustrator CC, Figma, IBM SPSS and Tableau Prep
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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