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README.md

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+## 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.