Great Product for Data Analysis
September 01, 2022

Great Product for Data Analysis

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

Overall Satisfaction with RStudio

RStudio helps our large team of conservation researchers address problems relating to data management, cleaning, and processing. In addition, it also helps our team with database management as we often manage large and historical sets of data. In many cases, our teams are using RStudio for the analysis of field data to assist with international conservation programs.
  • Data analysis
  • Data sharing
  • Graphs
  • User interface
  • Cleaner file storage in desktop
  • Collaboration
  • Speeds up data processing
  • Improved data quality
  • Improved ability to run advanced statistics
I've used ArcGIS and ESRI for similar analysis and while both have their advantages, RStudio is much better suited for running advanced statistics and processing large volumes of data. It can also produce quality maps, however, for visually attractive maps and graphs, ArcGIS is the better option. Another benefit of ArcGIS over RStudio is the ability to visualize the data.
RStudio online support is fantastic. In addition to their online support, there are tons of different platforms on the web for people to ask for help, troubleshoot, and work with other RStudio users when they run into a problem.
Open source data science allows us to share our code and process with multiple users. This is especially helpful when publishing papers that we want to be shared with as large of an audience as possible. It makes our work replicable and reproducible, which is very important to the field of conservation.
I am not a current user of RStudio's commercial offerings.
I am not a current user of RStudio's hosted offerings.

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RStudio is well suited for professionals who need to interpret and analyze large sets of data. It can have a step-learning curve though so maybe less functional and not appropriate for an inexperienced user. Additionally, if users are trying to collaborate on a set of data, additional programs or software may be needed in addition to RStudio in order to collaborate.

Posit Feature Ratings

Connect to Multiple Data Sources
Extend Existing Data Sources
Automatic Data Format Detection
Interactive Data Analysis
Interactive Data Cleaning and Enrichment
Data Transformations
Multiple Model Development Languages and Tools
Single platform for multiple model development
Self-Service Model Delivery
Flexible Model Publishing Options
Not Rated
Security, Governance, and Cost Controls
Not Rated