Rstudio - The most convenient ML tool
May 31, 2022

Rstudio - The most convenient ML tool

Akshat Garg | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with RStudio

We use RStudio to build data science and machine learning pipelines for AI models. The pipeline that we create on R studio help in end-to-end data processing, cleaning, RDA, model training, and prediction. The scripts that we write on RStudio are also used for automation and creating machine learning tools using R shiny as well.
  • Data processing
  • Data visualization
  • Machine learning
  • Tool development (Rshiny)
  • User interface
  • Faster data processing
  • consistent pipeline creation
RStudio works really well compared to competitors such as Jupyter Notebook where there is no environment to visualize variables. RStudio on the other hand is much easier to use and provides the right set of environments for users.

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

RStudio is well suited for data processing and visualization. The tool provided a very interactive and user-friendly environment to understand each step in the data processing. However, RStudio lacks in adoption among the data science community as python is not available and most of the machine learning libraries are custom built for python.

RStudio Feature Ratings

Connect to Multiple Data Sources
8
Extend Existing Data Sources
9
Automatic Data Format Detection
7
Visualization
9
Interactive Data Analysis
8
Interactive Data Cleaning and Enrichment
10
Data Transformations
10
Multiple Model Development Languages and Tools
8
Single platform for multiple model development
9
Self-Service Model Delivery
8
Flexible Model Publishing Options
7
Security, Governance, and Cost Controls
7