Overall Satisfaction with RStudio
Most of the DNA teams within our organization are using RStudio right from data pulls to visualization & reporting. UI/UX for shiny applications has been phenomenal and has been utilized in broader initiatives that enabled huge dollar savings. 'RMarkdown' has eased report generation to a great extent and 'odbc' drivers have made connecting to databases an easy task.
- Abundant development on statistical and data science libraries.
- Interaction with other programming languages and BI tools.
- Customized application building and reporting framework through shiny and markdown.
- Simple IDE with competent and robust functionalities.
- Strong and active community.
- Highly approachable core members and teams @Rstudio.
- Integration with Google Cloud Platform.
- Flexibility of choosing a remote R-interpreter (as is present in IntelliJ/PyCharm).
- Memory issues and slowdowns when it comes to working with large datasets.
- Orchestration of production workflows with Airflow.
- Production pipelines for RStudio Connect content.
- Shiny applications enabled huge dollar savings along with ease of access for statistical solutions.
- Single platform (RStudio Connect) to deploy Pins, Shiny, Dash, Plumber and Flask has increased collaboration opportunities within R-Python community.
- Project management and version control was enabled and eased within R-initiatives.
RStudio is the only R-friendly IDE. None of the IDEs, even though they offer R-plugins, are as intuitive as RStudio.
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
Using RStudio
500 - RStudio is leveraged by almost all the major functions within the organization. The usage ranges from occasional to critical. Although there hasn't been well established production workflows in many departments, RStudio acts as a go-to tool for data cleaning, analysis and reporting. With the expansion of RStudio connect' support for hosting various contents, it is anticipated to affect the usage positively!
10 - The support is required at two stages - System and Product. While each department relies on their own resources to handle the product level tickets, system support is something which needs a central team. System requirements often see requests for installation of packages at an OS-level and debugging of issues related the connection drivers.
- Data Cleaning
- Model APIs
- Dashboards for change review of systems and alerts
- Report generations
- Enabling login-screens for Shiny applications thus allowing for use of anonymous users while keeping the content secured
- System command calls through R allows for RDS files refresh through applications thus addressing the data connection latency.
- Integrations with GCP to allow for familiar environment for R-developers within the cloud platform