This data set from Kaggle aims to find a relationship between external factors of a student which are more likely to make them drink as a student.
This data set found lists each subject and some of the following information: sex, age, family size, address type, parental status, parent education, study time, failures, internet access, free time, and daily alcohol consumption among other things. There is a total of 382 students listed in this data set.
My goal of this data set is to find a relationship between those external factors and the excessive daily alcohol consumption of a student. This can help determine what students are more likely to partake in riskier activities like drinking. Not just to flag the students, but to determine what schools need more drinking-related education within their school to help combat the high predicted percentage of drinkers. This could help the community by decreasing the prevalence of drinking in the future society and make our population healthier.
Garrett's Blog 