Provide what you believe are the pros and cons of using a tool such as R instead of Python, another popular too

Data Analytics and R – Language

a. Provide what you believe are the pros and cons of using a tool such as R instead of Python, another popular tool.

b. Discuss how R & Python are different tools than tools that are used for data prep such as Hadoop, Alpine Miner, OpenRefine, and Data Wrangler.

Answer Preview……………..

R is a programming language that visualizes and provides mathematical statistics. Developed in 1992, R has been the preferred programing language for all analytics and statistical data. With R, a user can create great visualization reports and present perfect research findings (Müllner, 2013). On the other hand, python is a programming language that can be used to produce statistics and visualized data. Python is easier to learn and use and doesn’t require skills…………………

APA 334 words