Project: Analyzing Students' Mental Health

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 inter_dom, japanese_cate, english_cate, academic, age, stay, todep, tosc, toas
FROM 'students.csv';

DataFrameas

df1

variable

-- Start coding here...
SELECT *
FROM students;

DataFrameas

df

variable

SELECT MIN(age) AS min_age, MAX(age) AS max_age, ROUND(AVG(age), 2) AS avg_age
FROM students
WHERE inter_dom = 'Inter';

DataFrameas

df2

variable

SELECT MIN(stay) AS min_stay, MAX(stay) AS max_stay, ROUND(AVG(stay), 2) AS avg_stay
FROM students
WHERE inter_dom = 'Inter';

DataFrameas

df3

variable

SELECT MIN(todep) AS min_todep, MAX(todep) AS max_todep, ROUND(AVG(todep), 2) AS avg_todep
FROM students
WHERE inter_dom = 'Inter';

DataFrameas

df4

variable

SELECT MIN(tosc) AS min_tosc, MAX(tosc) AS max_tosc, ROUND(AVG(tosc), 2) AS avg_tosc
FROM students
WHERE inter_dom = 'Inter';

DataFrameas

df5

variable

SELECT MIN(toas) AS min_toas, MAX(toas) AS max_toas, ROUND(AVG(toas), 2) AS avg_toas
FROM students
WHERE inter_dom = 'Inter';

DataFrameas

df

variable

SELECT stay, COUNT(*) AS count_int,
	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;