Data analytics, R and Python

This week's discussion is an opportunity to share and exchange new knowledge.

Note: This weeks discussion has multiple parts (all parts are required for credit).

(a). Provide a very brief summary of the strengths and weaknesses of both R and Python.

(b) Share a summary of an actual study where R and/or Python were used for data analytics. 

            - Include a description of the problem that was the catalyst for the study 

            - Include the APA citation

            - Include the .pdf of the academic paper so others can share your knowledge

(c) Provide your research-based opinion on whether the use of R, Python, or another analytical tool was the right choice for the problem that was to be solved.

Guidance: 

Use your own words, cite & reference as appropriate. When exchanging information with your peers, be sure to do so within the context of the conversation.