Analyzing Students' Mental Health in SQL
Problem
Does going to university in a different country affect your mental health? A Japanese international university surveyed its students in 2018 and published a study the following year that was approved by several ethical and regulatory boards.
The study found that international students have a higher risk of mental health difficulties than the general population, and that social connectedness (belonging to a social group) and acculturative stress (stress associated with joining a new culture) are predictive of depression.
Explore the students data using PostgreSQL to find out if you would come to a similar conclusion for international students and see if the length of stay is a contributing factor.
Here is a data description of the columns you may find helpful.
Dataset
| Field Name | Description |
|---|---|
inter_dom | Types of students (international or domestic) |
japanese_cate | Japanese language proficiency |
english_cate | English language proficiency |
academic | Current academic level (undergraduate or graduate) |
age | Current age of student |
stay | Current length of stay in years |
todep | Total score of depression (PHQ-9 test) |
tosc | Total score of social connectedness (SCS test) |
toas | Total score of acculturative stress (ASISS test) |
Data Preprocessing
-- Run this code to save the CSV file as students
SELECT *
FROM 'students.csv';-- Start coding here...
--finding out different types of students without null values
SELECT inter_dom,count(*)
FROM 'students.csv'
where inter_dom is not null
GROUP BY inter_domIt contains 67 domestic and 201 International students. Our analysis is based on International students so it is domestic students are dropped.
Creating Table for International Students
--Creating A CTE for International students for future references.
WITH international as(
SELECT *
FROM 'students.csv'
WHERE inter_dom='Inter'
)
SELECT *
FROM internationalEDA on Test scores
Now, Let's see how student records are categorized and scored based on differnt category.
Region