RStudio: Best Bang for Your Buck
January 19, 2022

RStudio: Best Bang for Your Buck

Ogechi Nwadinobi | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with RStudio

I use RStudio to produce descriptive and predictive analytics surrounding various business products. My analytics help higher-ups understand the efficiencies and problem areas in business processes and make evidence-based decisions. The data visualizations I generate in [RStudio] are especially instrumental in presenting accurate, easily consumable metrics for lay audiences.
  • Visualizing data
  • Integration with other programming languages and tools
  • Variety of inbuilt functions and packages
  • Dashboard publishing
  • Processing is slow when working with large datasets
  • Description of bugs could be clearer
  • More tutorials on capabilities
  • Business decisions based on empirical data promotes growth
  • Collaboration across teams saves time
  • RStudio's integration with other languages eliminates [the] need for other software, saving money
Using [RStudio] requires greater knowledge of statistics and code than SPSS, which has a more simple "point and click" interface. [RStudio] is similar to SAS in its user interface and [requires] the user to write their own queries. [RStudio]'s main advantage is an open-source tool [that] is frequently updated. SAS is better when working with large datasets, and SPSS has better data imaging. [RStudio] is the most compatible with python code in my opinion, and is better for collaboration.
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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?

I wasn't involved with the selection/purchase process

Did implementation of RStudio go as expected?

Yes

Would you buy RStudio again?

Yes

I would definitely recommend RStudio for business analytics. The interface is extremely user-friendly and intuitive. There are a wide array of inbuilt functions and limitless packages available to support almost any analysis desired. The only caveat is processing tends to be slow for datasets larger than about 2 GB.

RStudio Feature Ratings

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