RStudio is great but needs some improvements
April 19, 2022
RStudio is great but needs some improvements
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with RStudio
RStudio is used in my organization to build machine learning models, such as linear regression, logistic regression, decision trees, random forest, k-mean clustering, and more. It solves our business problem of having a low-cost, open-source tool for building statistical models and running models for data analysis. We can also use this for data visualization and data cleaning.
Pros
- Data cleaning
- Statistical packages
- Machine learning algorithms
Cons
- Installation process is a bit confusing
- Steep learning curve for non technical person
- Better UI
- Better visualization output
- Quick implementation of statistical models
- Improved analytical capacity
RStudio stacks up pretty well against its competition. For me, it is really up to personal preference and what you are used to when deciding between the competitions. I like that Python packages have the most external resources, so it's easier to troubleshoot. But RStudio does have some advantages when it comes to optimized outputs for statistics.
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
Comments
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