RStudio is great but needs some improvements
April 19, 2022

RStudio is great but needs some improvements

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

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.
  • Data cleaning
  • Statistical packages
  • Machine learning algorithms
  • 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.
I don't really have experience using customer success support from RStudio before. Still, I have used the documentation provided for R Shiny, which I found pretty useful when developing interactive visualization. I felt other tools like Plotly for Python had better documentation, so RStudio could learn from them.
There are many resources out there for open sources packages, and it is free to use. The good thing about open source in data science is transparency and flexibility. We can see how the packages are written so we know the underlying assumptions in the models and how we can customize them for our needs. Data science is a quickly developing field. We need the flexibility and adaptability of open source tools to implement changes quickly when new research comes out and not rely on large corporations to update their products.
I don't have experience using these tools.

Do you think RStudio delivers good value for the price?

Yes

Are you happy with RStudio's feature set?

Yes

Did RStudio live up to sales and marketing promises?

Yes

Did implementation of RStudio go as expected?

Yes

Would you buy RStudio again?

Yes

Atlassian JIRA Align (formerly AgileCraft), Asana, GitHub
Based on my experience, I would like to recommend RStudio to anyone that needs to run small to medium-sized statistical analysis quickly and cost-effectively. Many packages are written pretty friendly for producing readable output for regressions results. However, it is less suited to large-scale big data projects that require large processing power.

RStudio Feature Ratings

Connect to Multiple Data Sources
7
Extend Existing Data Sources
7
Automatic Data Format Detection
7
Visualization
8
Interactive Data Analysis
8
Interactive Data Cleaning and Enrichment
6
Data Transformations
8
Multiple Model Development Languages and Tools
8
Single platform for multiple model development
8
Self-Service Model Delivery
8
Flexible Model Publishing Options
7
Security, Governance, and Cost Controls
6