--- license: cc0-1.0 --- ## Student Alcohol Consumption Dataset A dataset on social, gender and study data from secondary school students. Following was retrieved from [UCI machine learning repository](https://www.kaggle.com/datasets/uciml/student-alcohol-consumption). **Context:** The data were obtained in a survey of students math and portuguese language courses in secondary school. It contains a lot of interesting social, gender and study information about students. You can use it for some EDA or try to predict students final grade. **Content:** Attributes for both student-mat.csv (Math course) and student-por.csv (Portuguese language course) datasets: - school - student's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira) - sex - student's sex (binary: 'F' - female or 'M' - male) - age - student's age (numeric: from 15 to 22) - address - student's home address type (binary: 'U' - urban or 'R' - rural) - famsize - family size (binary: 'LE3' - less or equal to 3 or 'GT3' - greater than 3) - Pstatus - parent's cohabitation status (binary: 'T' - living together or 'A' - apart) - Medu - mother's education (numeric: 0 - none, 1 - primary education (4th grade), 2 – 5th to 9th grade, 3 – secondary education or 4 – higher education) - Fedu - father's education (numeric: 0 - none, 1 - primary education (4th grade), 2 – 5th to 9th grade, 3 – secondary education or 4 – higher education) - Mjob - mother's job (nominal: 'teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other') - Fjob - father's job (nominal: 'teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other') - reason - reason to choose this school (nominal: close to 'home', school 'reputation', 'course' preference or 'other') - guardian - student's guardian (nominal: 'mother', 'father' or 'other') - traveltime - home to school travel time (numeric: 1 - <15 min., 2 - 15 to 30 min., 3 - 30 min. to 1 hour, or 4 - >1 hour) - studytime - weekly study time (numeric: 1 - <2 hours, 2 - 2 to 5 hours, 3 - 5 to 10 hours, or 4 - >10 hours) - failures - number of past class failures (numeric: n if 1<=n<3, else 4) - schoolsup - extra educational support (binary: yes or no) - famsup - family educational support (binary: yes or no) - paid - extra paid classes within the course subject (Math or Portuguese) (binary: yes or no) - activities - extra-curricular activities (binary: yes or no) - nursery - attended nursery school (binary: yes or no) - higher - wants to take higher education (binary: yes or no) - internet - Internet access at home (binary: yes or no) - romantic - with a romantic relationship (binary: yes or no) - famrel - quality of family relationships (numeric: from 1 - very bad to 5 - excellent) - freetime - free time after school (numeric: from 1 - very low to 5 - very high) - goout - going out with friends (numeric: from 1 - very low to 5 - very high) - Dalc - workday alcohol consumption (numeric: from 1 - very low to 5 - very high) - Walc - weekend alcohol consumption (numeric: from 1 - very low to 5 - very high) - health - current health status (numeric: from 1 - very bad to 5 - very good) - absences - number of school absences (numeric: from 0 to 93) These grades are related with the course subject, Math or Portuguese: - G1 - first period grade (numeric: from 0 to 20) - G2 - second period grade (numeric: from 0 to 20) - G3 - final grade (numeric: from 0 to 20, output target) **Additional note:** there are several (382) students that belong to both datasets. These students can be identified by searching for identical attributes that characterize each student, as shown in the annexed R file.