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

-- Start coding here...
--Count of all students and count of student types
SELECT coalesce(inter_dom, 'No_identity') AS student_type, COUNT(*) AS total_students, 
	   COUNT(inter_dom) AS total_student_types
FROM students
GROUP BY inter_dom;

DataFrameas

df

variable

--Info of International students
SELECT *
FROM students
WHERE inter_dom LIKE 'Inte%';

DataFrameas

df1

variable

--Info of Domestic students
SELECT *
FROM students
WHERE inter_dom LIKE 'Dom%';

DataFrameas

df

variable

--summary statistics by length of stay for all students
SELECT stay,
		sum(todep) AS sum_php, 
	    sum(tosc) AS sum_toscs,
		sum(toas) AS sum_as,
		round(avg(todep),2) AS avg_phq, 
	    round(avg(tosc),2) AS avg_scs, 
		round(avg(toas),2) AS avg_as
FROM students
GROUP BY stay
ORDER BY stay;

DataFrameas

df

variable

--average scores by length of stay for all students
SELECT stay, 
		round(avg(todep),2) AS avg_phq, 
	    round(avg(tosc),2) AS avg_scs, 
		round(avg(toas),2) AS avg_as
FROM students
GROUP BY stay
ORDER BY stay;

DataFrameas

df

variable

--average scores by length of stay for International students
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;