I would need a data analysis using Principal component analysis (probably even Multiple Correspondence Analysis, since the data I use is categorical ).
The goal is to reduce a survey of 60 questions down to around 20-30 questions by identifying the most important 20-30 questions using PCA (or MCA). The questions are in the form of: which clothing style do you have? Answer: a) modern / b) old-fashioned / c) extravagant / d) classic.
Preferably in R.
Low rate bids will be my preference and newbies are welcomed