Project: Analyzing Students' Mental Health in SQL

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.

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)

DataFrameas

students

variable

-- Run this code to save the CSV file as students
SELECT * 
FROM 'students.csv';

DataFrameas

df

variable

SELECT * 
FROM students;

DataFrameas

df1

variable

SELECT COUNT(*) AS total_records,
COUNT(inter_dom) AS count_inter_dom, inter_dom
FROM students
GROUP BY inter_dom;

DataFrameas

df

variable

SELECT inter_dom, gender , age 
FROM
students
WHERE gender='Female'
AND 
age BETWEEN 24 AND 31;

DataFrameas

df

variable

SELECT inter_dom, gender, region
FROM
students
WHERE inter_dom IS NULL;

DataFrameas

df

variable

SELECT ROUND(AVG(todep), 2) AS average_phq, MIN(todep) AS min_phq, MAX (todep) AS max_phq,
ROUND(AVG(tosc), 2) AS avgerage_scs, MIN(tosc) AS min_scs, MAX (tosc) AS max_scs,
ROUND(AVG(toas), 2) AS average_as, MIN(toas) AS min_as, MAX (toas) AS max_as
FROM 
students;

DataFrameas

df

variable

SELECT ROUND(AVG(todep), 2) AS average_phq, MIN(todep) AS min_phq, MAX (todep) AS max_phq,
ROUND(AVG(tosc), 2) AS avgerage_scs, MIN(tosc) AS min_scs, MAX (tosc) AS max_scs,
ROUND(AVG(toas), 2) AS average_as, MIN(toas) AS min_as, MAX (toas) AS max_as
FROM students
WHERE inter_dom = 'Inter';

DataFrameas

df

variable

SELECT stay, ROUND(AVG(todep),2) AS average_phq, ROUND(AVG(tosc),2) as average_scs, ROUND(AVG(toas),2) AS average_as
FROM students
WHERE inter_dom='Inter'
GROUP BY stay
ORDER BY stay DESC;