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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)
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DataFrameas
students
variable
-- Run this code to save the CSV file as students
SELECT * 
FROM 'students.csv';
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DataFrameas
df
variable
-- Start coding here...
/*Count the number of records*/
SELECT COUNT(*) AS total_records
FROM students;

/*Count by student type*/
SELECT inter_dom, COUNT(*) As count_inter_dom
FROM students
GROUP BY inter_dom;

/*Count by student type*/
SELECT inter_dom, COUNT(*) As count_inter_dom
FROM students
GROUP BY inter_dom;

/*Count of international students*/
SELECT COUNT(*) As student_type_inter
FROM students
WHERE inter_dom = 'Inter';

/*Count of domestic students*/
SELECT COUNT(*) As student_type_dom
FROM students
WHERE inter_dom = 'Dom';

/*Count of entries with null student type*/
SELECT COUNT(*) As student_type_null
FROM students
WHERE inter_dom IS NULL;

/*Summary stats for _phq for all students*/
SELECT MIN(todep) As min_phq, MAX(todep) As max_phq,
ROUND(AVG(todep), 2) As avg_phq
FROM students;

/*Summary stats for _scs for all students*/
SELECT MIN(tosc) As min_scs, MAX(tosc) As max_scs, ROUND(AVG(tosc), 2) As avg_scs
FROM students;

/*Summary stats for _as for all students*/
SELECT MIN(toas) As min_as, MAX(toas) As max_as, ROUND(AVG(toas), 2) As avg_as
FROM students;

/*Summary stats for _as for international students only*/
SELECT inter_dom, MIN(todep) As min_tophq, MAX(todep) As max_tophq,
ROUND(AVG(todep), 2) As avg_phq
FROM students
WHERE inter_dom = 'Inter'
GROUP BY inter_dom;

SELECT inter_dom, MIN(tosc) As min_sc, MAX(tosc) As max_sc,
ROUND(AVG(tosc), 2) As avg_sc
FROM students
WHERE inter_dom = 'Inter'
GROUP BY inter_dom;

SELECT inter_dom, MIN(toas) As min_as, MAX(toas) As max_as,
ROUND(AVG(toas), 2) As avg_as
FROM students
WHERE inter_dom = 'Inter'
GROUP BY inter_dom;


/*Impact of length of stay*/
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;