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.
Do you think Posit delivers good value for the price?
Are you happy with Posit's feature set?
Did Posit live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Posit go as expected?
Would you buy Posit again?
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.