* Principal Component Analysis or Factor Analysis; * Please indicate the frequency of application you use for a tablet, 0-10 scale. Q1. Books (novels, eBook, the Bible, cartoon etc.) Q2. Business or Personal Information management (scheduler, business card manager, sales manager, time manager, planner etc.) Q3. Education (language, vocabulary, tests etc.) Q4. Entertainment (games, broadcasts, humor etc.) Q5. Finance (banking, money manager, stocks etc.) Q6. Medical & Healthcare (hospital searches, infant care, general medical information etc.) Q7. Fitness (calorie manager, diet, stress checker etc.) Q8. Lifestyle (fashion, religion, cooking, pets, interior design etc.) Q9. Music (learning an instrument, song maker, radio, etc.) Q10. Navigation (traffic information, maps, transportation info, etc.) Q11. News (newspaper etc.) Q12. Photography (camera, photo manager, etc.) Q13. Reference (dictionary, lexicon, fact book, etc.) Q14. Social networking (messenger, Twitter, Skype, etc.) Q15. Sports (live sports, learning a sport, etc.) Q16. Travel (tour information, travel guides, etc.) Q17. Utilities (flashlight, calendar, clock, calculator, etc.) Q18. Weather (local / country weather information, etc.) ; data tablet; title ’Tablet usage’; input Respondent $ Q1-Q18; datalines; R1 6 4 3 7 4 3 4 4 4 3 4 5 5 9 4 6 2 5 R2 7 2 1 7 6 3 8 8 7 5 5 6 7 4 6 7 3 6 R3 3 5 6 3 4 5 3 2 3 4 4 3 4 2 5 4 3 5 R4 5 3 4 6 7 3 3 2 4 7 7 5 8 8 7 4 3 7 R5 5 6 6 6 4 5 6 6 5 4 4 5 4 3 4 5 2 5 R6 5 7 6 6 0 7 6 6 6 0 0 4 0 8 0 4 2 0 R7 5 9 8 5 5 9 5 6 5 4 6 6 4 5 4 6 3 5 R8 5 8 9 5 8 8 6 5 5 9 7 6 8 0 9 6 4 8 R9 2 5 4 1 6 4 4 4 4 7 6 3 6 3 6 2 2 6 R10 4 2 2 4 5 2 2 2 2 5 4 5 4 2 4 4 3 4 R11 4 5 5 4 4 6 6 6 7 3 4 5 4 4 4 4 3 5 R12 2 5 6 2 2 5 6 7 6 3 1 3 2 6 2 2 3 1 R13 5 3 3 5 10 3 4 4 3 1 10 6 1 5 9 5 4 1 R14 3 5 4 2 6 5 6 5 6 6 6 3 7 4 5 2 2 7 R15 2 3 4 2 6 3 8 8 8 5 7 3 6 2 6 3 4 5 R16 5 5 5 4 5 6 4 4 4 6 4 6 4 5 5 6 4 4 R17 3 5 5 3 4 4 3 4 3 4 5 3 3 3 4 4 2 4 R18 4 7 8 3 6 7 5 4 5 6 5 4 6 3 6 3 3 6 R19 1 7 6 0 5 8 5 5 5 5 4 2 6 3 5 2 2 6 R20 6 5 5 6 4 6 8 8 9 5 5 6 5 4 4 6 2 4 R21 6 8 7 6 5 8 7 8 8 5 4 6 5 6 4 6 3 4 R22 8 5 4 7 7 4 3 3 2 6 7 8 7 3 6 9 3 6 R23 6 5 6 7 7 5 4 5 3 7 6 6 6 2 7 7 3 8 R24 8 6 7 8 5 7 8 8 9 4 4 7 6 8 6 9 3 5 R25 7 4 4 7 7 3 3 3 4 7 6 6 7 4 6 7 4 7 R26 3 4 4 3 7 3 6 7 5 7 8 4 6 6 7 4 4 8 R27 7 6 5 7 5 5 5 6 5 5 5 6 4 3 6 8 2 6 R28 4 4 5 5 5 3 6 7 5 5 6 4 6 1 6 3 3 4 R29 5 5 6 4 7 5 8 8 9 6 6 4 7 5 6 6 3 7 R30 6 8 8 7 1 7 6 6 6 1 2 6 2 3 1 6 3 1 R31 6 3 3 6 4 3 5 4 4 3 4 6 3 7 4 6 4 4 R32 3 10 9 4 5 10 5 5 4 5 5 3 4 5 5 3 2 5 R33 5 5 5 6 7 5 7 7 6 6 7 4 7 3 6 5 2 7 R34 5 5 6 6 6 5 4 4 4 7 6 6 6 4 7 4 2 6 R35 2 3 2 1 4 2 4 4 4 5 4 3 4 5 5 2 3 4 R36 5 5 5 4 4 5 7 8 8 4 5 5 3 5 5 5 2 4 R37 6 4 4 7 2 3 6 5 5 2 1 5 1 2 3 7 2 1 R38 4 5 5 5 5 6 6 6 6 4 6 3 5 6 5 4 3 4 R39 5 3 3 6 5 4 10 10 1 4 4 6 6 5 6 5 2 5 R40 2 2 2 2 4 3 3 4 3 5 5 3 5 7 4 2 3 4 R41 7 4 4 6 5 4 8 8 7 6 6 8 5 6 5 8 2 5 R42 2 6 6 3 3 6 5 5 5 4 3 1 4 6 3 3 3 3 R43 4 6 6 4 4 6 5 6 5 5 4 4 4 3 4 4 2 5 R44 4 4 4 4 2 4 7 7 8 3 2 5 1 4 2 5 2 2 R45 3 5 4 3 3 5 8 8 7 2 3 3 3 3 3 3 1 2 R46 2 6 6 3 6 7 1 1 0 6 6 2 6 6 5 3 4 5 R47 4 3 4 4 7 2 4 5 4 7 7 4 8 3 7 4 3 7 R48 5 6 7 4 4 7 6 7 5 3 5 5 3 3 4 4 5 5 R49 4 6 5 4 8 7 4 4 5 7 9 4 7 4 8 3 2 7 R50 3 9 8 3 3 9 4 4 3 2 3 4 3 10 3 3 2 3 R51 6 6 5 7 7 6 3 3 2 8 6 5 6 4 8 7 4 7 R52 8 6 7 8 3 6 5 5 4 3 3 9 2 2 3 9 3 2 R53 6 6 6 5 7 7 6 6 5 6 8 5 7 5 6 5 3 7 R54 8 3 3 7 4 4 2 3 3 5 4 8 3 4 4 8 4 5 R55 3 4 5 4 5 3 6 5 5 5 6 3 6 2 4 2 3 4 R56 4 6 6 4 5 5 6 5 7 5 5 5 4 4 4 3 2 5 R57 3 5 4 2 8 5 5 5 5 8 9 3 8 9 8 2 2 9 R58 5 4 3 5 4 3 5 5 6 4 3 6 4 4 4 6 4 4 R59 6 8 7 6 6 9 4 4 4 6 6 6 7 4 6 6 2 6 R60 5 6 6 5 6 6 3 2 2 6 5 4 6 8 6 4 2 6 R61 4 6 5 5 4 6 4 4 5 3 4 4 5 5 3 4 1 4 R62 5 4 4 4 5 3 5 5 5 5 6 6 4 8 4 5 2 5 R63 7 3 2 8 5 2 6 6 5 5 4 6 5 4 5 7 3 4 R64 4 5 4 4 5 4 5 6 4 4 5 3 6 5 5 4 4 5 R65 6 3 4 7 3 3 5 4 4 4 4 6 4 3 4 7 3 4 R66 4 6 6 3 7 5 4 3 5 8 8 3 6 3 8 3 3 8 R67 7 9 10 8 5 10 5 5 5 4 5 8 6 3 5 7 4 5 R68 6 7 7 5 3 8 4 4 3 3 4 6 4 3 2 6 1 3 R69 4 7 6 4 4 7 6 5 5 4 4 4 3 7 3 4 3 3 R70 7 4 5 6 8 4 3 4 4 8 8 6 7 5 9 8 3 8 R71 2 6 6 1 6 6 5 5 6 7 6 2 7 2 6 3 3 6 R72 3 5 4 2 6 5 5 6 6 5 5 3 5 5 5 4 4 5 R73 3 3 3 2 4 2 4 3 4 4 3 2 5 4 4 4 3 5 R74 6 5 6 7 5 5 1 1 1 4 6 5 6 3 4 6 4 4 R75 5 0 1 6 6 0 5 6 4 7 6 5 7 6 6 5 3 7 R76 5 6 5 5 1 5 4 3 3 2 1 5 0 1 0 6 4 1 R77 7 4 4 6 4 5 7 6 7 3 5 6 5 5 4 8 1 5 R78 5 6 7 6 4 5 6 5 7 3 4 6 5 6 4 4 2 4 R79 4 7 7 5 4 6 6 6 7 4 4 4 3 7 5 4 2 5 R80 3 5 4 2 3 6 5 5 5 4 4 4 2 6 4 3 4 4 R81 8 4 5 8 3 4 3 4 3 3 3 9 4 7 2 8 4 3 R82 3 4 5 4 4 3 4 4 4 4 5 2 3 4 4 2 4 3 R83 7 3 2 8 6 3 6 5 5 5 6 8 6 4 6 7 5 6 R84 5 5 6 5 4 5 4 3 4 4 5 4 4 9 3 5 1 4 R85 2 7 6 2 3 8 5 4 6 3 4 3 2 4 2 3 3 4 R86 4 6 6 3 1 5 5 5 6 1 0 5 0 3 0 5 3 1 R87 6 4 4 5 5 5 6 6 7 6 5 7 5 4 4 7 3 5 R88 3 4 4 2 0 5 6 6 7 0 1 3 1 5 0 3 4 1 R89 3 3 3 3 4 2 3 3 2 3 4 2 5 8 4 3 3 4 R90 7 4 5 7 2 3 5 4 5 1 1 7 3 5 1 7 3 2 R91 7 4 4 7 4 4 5 6 5 5 3 8 5 3 3 8 3 4 R92 7 4 4 6 7 4 4 4 4 6 7 6 7 2 7 7 3 7 R93 5 7 7 5 2 7 6 6 5 2 1 5 2 4 1 5 3 1 R94 6 10 10 6 6 10 7 7 8 7 7 6 6 5 6 6 3 6 R95 3 6 5 2 1 6 5 5 5 1 1 3 2 6 1 3 2 0 R96 1 4 5 0 5 5 5 4 5 5 5 1 4 8 5 1 3 6 R97 5 4 4 4 4 4 5 4 5 4 5 4 5 8 3 4 2 4 R98 2 4 4 1 3 3 3 3 3 3 4 2 3 5 3 3 5 3 R99 1 5 4 0 5 4 7 7 7 4 6 2 4 3 5 1 3 6 R100 6 4 4 5 3 5 8 7 7 3 3 7 3 7 3 6 3 3 ; * Use princomp; proc princomp data=tablet out=tablet_Components; run; * Use factor, you can set number of factors; proc factor data=tablet method=principal nfactors=7; run;