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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 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
df
variable
-- Start coding here...
SELECT COUNT(*)
FROM 'students.csv'
Spinner
DataFrameavailable as
df1
variable
SELECT inter_dom, COUNT(*) AS record_count
FROM 'students.csv'
GROUP BY inter_dom;
Spinner
DataFrameavailable as
df2
variable
-- Filter the data to see how it differs between the student types.
SELECT *
FROM 'students.csv'
WHERE inter_dom = 'Inter'
Spinner
DataFrameavailable as
df3
variable
-- Filter the data to see how it differs between the student types.
SELECT *
FROM 'students.csv'
WHERE inter_dom = 'Dom'
Spinner
DataFrameavailable as
df4
variable
-- Find the summary statistics of the diagnostic tests for all students using aggregate functions, rounding the test scores to two decimal places, remembering to use aliases.
SELECT ROUND(AVG(todep),2) AS average_depression, ROUND(AVG(tosc),2) AS average_social_connectedness, ROUND(AVG(toas),2) AS average_acc_stress
FROM 'students.csv'
Spinner
DataFrameavailable as
df5
variable
-- Repeat this to summarize the data for international students only.
SELECT ROUND(AVG(todep),2) AS average_depression, ROUND(AVG(tosc),2) AS average_social_connectedness, ROUND(AVG(toas),2) AS average_acc_stress
FROM 'students.csv'
WHERE inter_dom = 'Inter'
Spinner
DataFrameavailable as
df
variable
-- See if length of stay impacts the average diagnostic scores rounded to two decimal places for international students, and order the results by descending order of the 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.csv'
WHERE inter_dom = 'Inter'
GROUP BY stay
ORDER BY stay DESC;