for data analysis i should learn
- R18.6%
- python51.1%
- javascript3.8%
- idk/other/results26.4%
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I have used Stata, SAS, and R, and currently have Stata, but for most simple/quick analysis use wizardmac.com and really like it.
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Everything you can do with R you can also do with Python, but not the other way around. Actually i think you should start by playing a bit with R's GUI - there is not that much to learn - and maybe it is all you need for now. Later you can always "upgrade" to Python.
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"Data analysis" is pretty broad. For analyzing your survey data Python is really overkill. R is the standard but is not very novice-friendly. I would start with an R-based GUI like JASP, which more likely than not will have everything you need.
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Or, if you are willing to pay a few hundred dollars, Stata is really excellent.
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almost 100% Python + pandas
R will only make sense if you have a billion dimensions to your data
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retracted after further consideration, would just try R and bail for Python hellhole if you struggle
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Replying to @ctjlewis @monodevice and 2 others
cause really by “use python and pandas” i mean “install python (3 not 2) and then install pip and then run ‘pip install pandas seaborn matplotlib jupyter notebook ipykernel’ and then create a new directory and run ‘jupyter notebook’ and start working”
so yeah maybe R is the move
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