Music Hackathon

This is my attempt at the Kaggle EMI Music Hackathon in R.

Data Cleanup

I wrote some shell script to clean up the data files. Some values were repeated with slight formatting vartiations. I replaced them all with integers to cut down on filesize and normalize the values.

Users: clean_users

WORKING

• 0 "Employed 30+ hours a week"
• 1 "Employed 8-29 hours per week"
• 2 "Employed part-time less than 8 hours per week"
• 3 "Full-time housewife / househusband"
• 4 "Full-time student
• 5 "In unpaid employment (e.g. voluntary work)"
• 6 "Other"
• 7 "Part-time student"
• 8 "Prefer not to state"
• 9 "Retired from full-time employment (30+ hours per week)"
• 10 "Retired from self-employment"
• 11 "Self-employed"
• 12 "Temporarily unemployed"

MUSIC

• 0 "Music has no particular interest for me"
• 1 "Music is no longer as important as it used to be to me"
• 2 "I like music but it does not feature heavily in my life"
• 3 "Music is important to me but not necessarily more important than other hobbies or interests"
• 3 "Music is important to me but not necessarily more important"
• 4 "Music means a lot to me and is a passion of mine"

LIST_{OWN,BACK}

Cleans columns up to only have integer value representing hours. Drops the rows with variations of "More than..."

Words: clean_words

HEARD_OF

• 0 Never heard of
• 1 Ever heard of
• 3 Ever heard music by
• 4 Heard of and listened to music EVER
• 5 Heard of and listened to music RECENTLY
• 2 Heard of
• 6 Listened to recently

OWN_ARTIST_MUSIC

• 0 [dD]on.t know
• 1 Own none of their music
• 2 Own a little of their music
• 3 Own a lot of their music
• 4 Own all or most of their music