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Project: Analyzing Students' Mental Health in SQL

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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)
Unknown integration
DataFrameavailable as
students
variable
-- Run this code to save the CSV file as students
SELECT * 
FROM 'students.csv';
This query is taking long to finish...Consider adding a LIMIT clause or switching to Query mode to preview the result.
Unknown integration
DataFrameavailable as
df
variable
SELECT COUNT(*) AS number_of_records
FROM 'students.csv';
This query is taking long to finish...Consider adding a LIMIT clause or switching to Query mode to preview the result.
Unknown integration
DataFrameavailable as
df1
variable
SELECT DISTINCT inter_dom,
		COUNT(*)
FROM 'students.csv'
GROUP BY inter_dom;
This query is taking long to finish...Consider adding a LIMIT clause or switching to Query mode to preview the result.
Unknown integration
DataFrameavailable as
df2
variable
SELECT DISTINCT inter_dom AS 'Type of Student',
		COUNT(*) AS 'Number Of Students',
		ROUND(AVG(todep), 2) AS 'Avg PHQ9 Score',
		ROUND(AVG(tosc), 2) AS 'Avg SCS score',
		ROUND(AVG(toas), 2) AS 'Avg ASISS score'
FROM 'students.csv'
WHERE inter_dom IS NOT NULL
GROUP BY inter_dom;
This query is taking long to finish...Consider adding a LIMIT clause or switching to Query mode to preview the result.
Unknown integration
DataFrameavailable as
df3
variable
SELECT DISTINCT inter_dom AS 'Type of Student',
		COUNT(*) AS 'Number Of Students',
		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 inter_dom;
This query is taking long to finish...Consider adding a LIMIT clause or switching to Query mode to preview the result.
Unknown integration
DataFrameavailable as
df
variable
SELECT DISTINCT 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;
This query is taking long to finish...Consider adding a LIMIT clause or switching to Query mode to preview the result.
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