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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 NameDescription
inter_domTypes of students (international or domestic)
japanese_cateJapanese language proficiency
english_cateEnglish language proficiency
academicCurrent academic level (undergraduate or graduate)
ageCurrent age of student
stayCurrent length of stay in years
todepTotal score of depression (PHQ-9 test)
toscTotal score of social connectedness (SCS test)
toasTotal score of acculturative stress (ASISS test)
Spinner
DataFrameavailable as
students
variable
-- Run this code to save the CSV file as students
SELECT * 
FROM 'students.csv';
Spinner
DataFrameavailable as
df1
variable
-- Find out total records/rows of the data --
SELECT COUNT(*) AS total_records
FROM students;
Spinner
DataFrameavailable as
df2
variable
-- Find out total of international & national students --
SELECT inter_dom, COUNT(inter_dom) AS total_records
FROM students
GROUP BY inter_dom;
Spinner
DataFrameavailable as
df3
variable
-- Filter the data to see all records where inter_dom is neither "Dom" nor "In" or null values--
SELECT *
FROM students
WHERE inter_dom NOT LIKE 'D%' AND inter_dom NOT LIKE 'I' OR inter_dom IS NULL;
Spinner
DataFrameavailable as
df4
variable
-- Find out the total records of all international students by region --
SELECT region, COUNT (inter_dom) AS count_inter_dom
FROM students
WHERE inter_dom = 'Inter'
GROUP BY region;
Spinner
DataFrameavailable as
df4
variable
-- Find out the basic summary statistics for all test score (Depresion Test, Social Connectedness Test and Acculturative Stress Test) --
SELECT 
	MIN(todep) AS min_phq,
	MAX(todep) AS max_phq,
	ROUND(AVG(todep),2) AS avg_phq,
	MIN(tosc) AS min_scs,
	MAX(tosc) AS max_scs,
	ROUND(AVG(tosc),2) AS avg_scs,
	MIN(toas) AS min_as,
	MAX(toas) AS max_as,
	ROUND(AVG(toas),2) AS avg_as
FROM students;
Spinner
DataFrameavailable as
df5
variable
-- Summarize the statistics score from International Students and Domestic Students --
SELECT
	MIN(todep) AS min_phq,
	MAX(todep) AS max_phq,
	ROUND(AVG(todep),2) AS avg_phq,
	MIN (tosc) AS min_scs,
	MAX (tosc) AS max_scs,
	ROUND(AVG(tosc),2) AS avg_scs,
	MIN(toas) AS min_as,
	MAX(toas) AS max_as,
	ROUND(AVG(toas),2) AS avg_as
FROM students
WHERE inter_dom IN ('Inter','Dom')
GROUP BY inter_dom;
	
Spinner
DataFrameavailable as
df6
variable
-- Find outs all average test scores for International Students group and ordered by age --
SELECT age,
		ROUND(AVG(todep),2) AS avg_phq,
		ROUND(AVG(tosc),2) AS avg_scs,
		ROUND(AVG(toas),2) AS avg_as
FROM students
WHERE inter_dom = 'Inter'
GROUP BY age
ORDER BY age ASC;
Spinner
DataFrameavailable as
df
variable
-- Find out how length of stay factor affects the score of all test (average and rounded by 2 decimal) --
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;