Which should I study, R or Python, for data analysis?
About this article
Speaking of data analysis, I think there are only R and Python these days. Especially Python is very popular with young engineers. It's not just for data analysis, but for many other uses.
Recently I've started working on data analysis, and my senior recommended R, but I have a little more experience with Python. I'm almost a beginner, so I was wondering which one to use.
Let's see the actual data
Therefore, I decided to look at the data and decide immediately. When I searched for Job Trend of R and Python with Indeed, a search engine specialized in work, I got this result (It seems that the latest data as of 2017/07/08 is only until April)
Recruitment trends
--There are more R ――Neither of them has a clear trend.
Job seeker trends
(Image source: https://www.indeed.com/jobtrends/q-R-q-Python.html)
On the other hand, what about those looking for a job?
--Clearly Python is soaring in popularity. --R only fluctuates within a certain range.
Conclusion
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Recruiting torrents haven't changed, but more people can do Python. On the contrary, the number of people who can do R is not increasing. * If you simply pursue the value of the job market, I thought that R would be better.
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However, both are open source, so the more users you have, the more packages you can use and the higher the priority for new technologies to be applied. From the job seeker diagram, the number of Python job seekers exceeded the number of R job seekers. After all it should be popular Python.
The bottom line is that we haven't decided yet.
reference
Indeed Job Trend https://www.indeed.com/jobtrends (Comparison between Data Scientist and Devops as an example is interesting)
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