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)

DataFrameavailable as

students

variable

-- Run this code to save the CSV file as students
SELECT * 
FROM 'students.csv';

DataFrameavailable as

df

variable

-- Start coding here...
SELECT COUNT(*) AS total_records
FROM students;

DataFrameavailable as

df1

variable

SELECT COUNT(*) AS count_inter_dom
FROM students
GROUP BY Inter_dom;

DataFrameavailable as

df2

variable

SELECT Inter_dom, ROUND(AVG(todep),2) AS avg_phq
FROM students
GROUP BY Inter_dom;

DataFrameavailable as

df3

variable

SELECT Inter_dom, MIN(todep) AS min_phq
FROM students
GROUP BY Inter_dom;

DataFrameavailable as

df4

variable

SELECT Inter_dom, MAX(todep) AS max_phq
FROM students
GROUP BY Inter_dom;

DataFrameavailable as

df5

variable

SELECT Inter_dom, ROUND(AVG(tosc),2) AS avg_scs
FROM students
GROUP BY Inter_dom;

DataFrameavailable as

df6

variable

SELECT Inter_dom, MIN(tosc) AS min_scs
FROM students
GROUP BY Inter_dom;

DataFrameavailable as

df7

variable

SELECT Inter_dom, MAX(tosc) AS max_scs
FROM students
GROUP BY Inter_dom;

DataFrameavailable as

df8

variable

SELECT Inter_dom, ROUND(AVG(toas),2) AS avg_as
FROM students
GROUP BY Inter_dom;

DataFrameavailable as

df9

variable

SELECT Inter_dom, MAX(toas) AS max_as
FROM students
GROUP BY Inter_dom;

DataFrameavailable as

df10

variable

SELECT Inter_dom, MIN(toas) AS min_as
FROM students
GROUP BY Inter_dom;

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