Item: Posit
Rating: 9
Author: Verified User

Overall Satisfaction with RStudio

Use Cases and Deployment Scope

It’s used for data analysis, data visualization and data visualization app and machine learning.
It is used across whole organization.

The type of Uses from analyzing the injuries, and violence data. The death data from different sources and visualization. Also, analyzing disease data like HIV, STD and other Infectious diseases and visualization analysis!
Developing Machine Learning Analysis on predicting/ identify cases from the free text fields. Performing Natural Language Processing and other AI analysis!

Pros and Cons

Pros

The tool provides vie of Code, log, data and library , plots on same places!
Lots of predestined code , projects and samples available to ready to use with little modifications!
Lots of Machine Learning algorithms, Artificial Intelligence related samples, and projects available.
RShiny is great tool to develop a web applications and data visualization.
Free of cost tool, easy to install and manage libraries. Does not take too much expertise to install or maintain RStudio tool!

Cons

The dropdown menus or tool in order to test or select some of basic Machine Learning algorithms for analysis. Which requires No to very little coding.
Some ready to use tool or menus in order to create different types of charts, GIS maps or other data visualization like MS Excel!

Return on Investment

The free version of RStudio is great advantage for large numbers of users and to train the new entry level users or college students.
Does not require very advanced or expensive computing powered computer.
Tool can be installed on any Operating Systems, which is great benefits between users from Windows to Apple or Linux users!

Alternatives Considered

Spyder and Jupyter Notebook

Python IDEs like Spyder or Jupyter Notebooks are not steady and stable as compared to RStudio.
The newer version of Python or Installing new Library corrupted the Spyder or Jupyter Notebook versions, not same with RStudio!
There are not easily available tools like RShiny in order to develop web applications or data visualization!

Other Software Used

Jupyter Notebook, Spyder, Python IDLE

Likelihood to Recommend

It is Free of cost, easy to install, very little maintenance required.

It is very secured and did not heard about vulnerability compared to other tools!
The tool provides the cloud connection and easy to share projects between team members.
The RShiny is great tool on development of web applications and data Visualization!
The Machine Learning algorithms are easily accessible and designed on normal computer!
It will be great if users are able to select RAM size or GPU for advanced machine learning projects.

Comments

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Lou Bajuk
(Vendor Representative) commented 4 years ago
Thank you for the review, and your feedback.

RStudio free IDE data analysis to AI