A must have tool for data analysts
January 13, 2022

A must have tool for data analysts

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

Overall Satisfaction with RStudio

I am working with an Australian supermarket giant and helping them analyze data for their e-commerce business. RStudio helps me in getting the raw data from various sources and cleaning them up so that they can be aggregated and visualized in a BI tool for insight generation to improve the business performance.
  • It's super quick.
  • It has inbuilt functions for most of the analytics procedures.
  • It has great visualizations.
  • It has lots of libraries and sometimes it shows errors while importing them.
  • Its UI can be improved.
  • It takes a lot of time exporting files.
  • It has reduced the cost of operations as the tool is free.
  • It has helped clean data to better visualize it.
  • It has made ML operation implementation easy.
RStudio is as good as any software available in the market and is better off than some as it is free. Since it is open source it is improving day by day. I would prefer RStudio over any other tool any day. I would recommend every data analyst to give RStudio a try.
I have not used R studio support yet.
Yes, I have used various open-source R tools. Open-source data science is advantageous as people can contribute to its growth freely and is not centralized by a company. Even students.
I have used the R server in particular. It is extremely good and pretty fast. It allows multiple users to use the tool at the same time. It can be easily connected to a git repo and processes can be automated.
Result sets from R can be shared in the form of extracts to your teammates or any user in the organization.

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It's is best suited for data cleaning and analytics. It is an awesome tool if you want to apply some statistics operations. It can handle large amounts of data It is not the best tool if you want to start with coding in general as concepts are a little tough.

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
Security, Governance, and Cost Controls