OkCupid Data for Introductory Statistics and Data Science Courses

被引：6
|
作者：
Kim, Albert Y. [1 ]
Escobedo-Land, Adriana [2 ]
机构：
[1] Middlebury Coll, Dept Math, Warner Hall,303 Coll St, Middlebury, VT 05753 USA
[2] Reed Coll, Reed Coll Environm Studies, Biol Program, Portland, OR 97202 USA
来源：
JOURNAL OF STATISTICS EDUCATION | 2015年 / 23卷 / 02期
关键词：
OkCupid; Online dating; Data science; Big data; Logistic regression; Text mining;
D O I：
10.1080/10691898.2015.11889737
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
We present a data set consisting of user profile data for 59,946 San Francisco OkCupid users (a free online dating website) from June 2012. The data set includes typical user information, lifestyle variables, and text responses to 10 essay questions. We present four example analyses suitable for use in undergraduate introductory probability and statistics and data science courses that use R. The statistical and data science concepts covered include basic data visualization, exploratory data analysis, multivariate relationships, text analysis, and logistic regression for prediction.
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页数：25
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