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Virginia Recagno/

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
record_count
variable
-- Count all of the records in the data
SELECT COUNT(*) AS record_count
FROM students;
This query is taking long to finish...Consider adding a LIMIT clause or switching to Query mode to preview the result.

The total number of records in the 'students' table is 286

Unknown integration
DataFrameavailable as
group_type
variable
-- Count the records per student type to see how the records are categorized and scored
SELECT inter_dom, COUNT(*) AS record_count, 
FROM students
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.

There are 67 domestical students, and 201 international ones. So there are 18 null registrees.

Unknown integration
DataFrameavailable as
data_per_student_type
variable
-- Filter the data to see how it differs between the student types.
SELECT 
	inter_dom,
	ROUND(AVG(age),1) AS avg_age, 
	MIN(stay) AS min_stay, 
	MAX(stay) AS max_stay, 
FROM students
WHERE inter_dom IN('Inter' , 'Dom')
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.

Upon analysis of the numeric fields, we can conclude that international students are slightly older than their domestic counterparts, and they tend to extend the duration of their stay on campus, potentially doubling the number of years compared to domestic students.

Unknown integration
DataFrameavailable as
test_avg
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 
	inter_dom,
	ROUND(AVG(todep),2) AS avg_todep, 
	ROUND(AVG(tosc),2) AS avg_tosc, 
	ROUND(AVG(toas),2) AS avg_toas, 
FROM students
WHERE inter_dom IN('Inter' , 'Dom')
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.

Examining the average scores in each test reveals that domestic students score slightly higher in depressive symptoms (PHQ-9 test) and social connectedness (SCS test). It is important to note that the observed differences may fall within the confidence interval.

However, in the Alcohol, Smoking, and Substance Involvement Screening Test (ASISS test), the average score is higher by more than 12 points for international students compared to domestic students.

Unknown integration
DataFrameavailable as
df1
variable
-- Repeat this to summarize the data for international students only.
SELECT 
	inter_dom,
	ROUND(AVG(todep),2) AS avg_todep, 
	ROUND(AVG(tosc),2) AS avg_tosc, 
	ROUND(AVG(toas),2) AS avg_toas, 
FROM students
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
-- 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
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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