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okcupid_codebook_revised.txt
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okcupid_codebook_revised.txt
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NAME: San Francisco OKCupid Users
TYPE: Volunteered sample
SIZE: 59946 cases (users active on date X in the 2010's who had active accounts on 4 days earlier), 19 variables
ARTICLE TITLE: OkCupid Profile Data for Introductory Statistics and Data Science Courses
DESCRIPTIVE ABSTRACT: This dataset was created with the use of a python script that pulled the data from public profiles on www.okcupid.com. It has an n=59946, which includes people within a 25 mile radius of San Francisco, who were online in the last year prior to date X, with at least one profile picture.
SOURCES: Data scraped from public profiles on www.okcupid.com on date X. Permission to use this data was obtained from OkCupid president and co-founder Christian Rudder under the condition that the dataset remains public.
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DATASET #1: profiles_revised.csv
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VARIABLE DESCRIPTIONS:
Missing data is blank. Some variables have two factors, which are denoted in this codebook by a semicolon (e.g. "graduated from; two-year college) though they are found without punctuation in the dataset. Details for specific variables are found in parenthesis.
age: age of user with random noise added for anonymization
body_type- rather not say, thin, overweight, skinny, average, fit, athletic, jacked, a little extra, curvy, full figured, used up
diet- mostly/strictly; anything, vegetarian, vegan, kosher, halal, other
drinks- very often, often, socially, rarely, desperately, not at all
drugs- never, sometimes, often
education- graduated from, working on, dropped out of; high school, two-year college, university, masters program, law school, med school, Ph.D program, space camp
ethnicity- Asian, middle eastern, black, native American, indian, pacific islander, Hispanic/latin, white, other
height- inches
income- (US $, -1 means rather not say) -1, 20000, 30000, 40000, 50000, 60000 70000, 80000, 100000, 150000, 250000, 500000, 1000000,
job- student, art/music/writing, banking/finance, administration, technology, construction, education, entertainment/media, management, hospitality, law, medicine, military, politics/government, sales/marketing, science/engineering, transportation, unemployed, other, rather not say, retire
offspring- has a kid, has kids, doesnt have a kid, doesn't want kids; ,and/,but might want them, wants them, doesnt want any, doesnt want more
orientation- straight, gay, bisexual
pets- has dogs, likes dogs, dislikes dogs; and has cats, likes cats, dislikes cats
religion- agnosticism, atheism, Christianity, Judaism, Catholicism, Islam, Hinduism, Buddhism, Other; and very serious about it, and somewhat serious about it, but not too serious about it, and laughing about it
sex- m, f
sign- aquarius, pices, aries, Taurus, Gemini, cancer, leo, virgo, libra, scorpio, saggitarius, Capricorn; but it doesn’t matter, and it matters a lot, and it’s fun to think about
smokes- yes, sometimes, when drinking, trying to quit, no
speaks- English (fluently, okay, poorly). Afrikaans, Albanian, Arabic, Armenian, Basque, Belarusan, Bengali, Breton, Bulgarian, Catalan, Cebuano, Chechen, Chinese, C++, Croatian, Czech, Danish, Dutch, Esperanto, Estonian, Farsi, Finnish, French, Frisian, Georgian, German, Greek, Gujarati, Ancient Greek, Hawaiian, Hebrew, Hindi, Hungarian, Icelandic, Ilongo, Indonesian, Irish, Italian, Japanese, Khmer, Korean, Latin, Latvian, LISP, Lithuanian, Malay, Maori, Mongolian, Norwegian, Occitan, Other, Persian, Polish, Portuguese, Romanian, Rotuman, Russian, Sanskrit, Sardinian, Serbian, Sign Language, Slovak, Slovenian, Spanish, Swahili, Swedish, Tagalog, Tamil, Thai, Tibetan, Turkish, Ukranian, Urdu, Vietnamese, Welsh, Yiddish (fluently, okay, poorly)
status- single, seeing someone, married, in an open relationship
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DATASET #2: essays_revised_and_randomized.csv
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Note that the essay data has been randomdized by rows to decouple them from the
profiles data. In other words, the user represented in the first row of
profiles_revised.csv does not necessarily correspond to the user that wrote the
responses in the first row of essays_revised_and_randomized.csv.
Furthermore, any links to Facebook, Instagram, Twitter, Pinterest, and Flickr
profiles have been redacted.
essay0- My self summary
essay1- What I’m doing with my life
essay2- I’m really good at
essay3- The first thing people usually notice about me
essay4- Favorite books, movies, show, music, and food
essay5- The six things I could never do without
essay6- I spend a lot of time thinking about
essay7- On a typical Friday night I am
essay8- The most private thing I am willing to admit
essay9- You should message me if...
SPECIAL NOTES: All essay questions are fill-in the blank, answers are not summarized here.
SUBMITTED BY:
Albert Y. Kim and Adriana Escobedo-Land
Reed College
3203 SE Woodstock Blvd
Portland, OR 97202