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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
-- counting all of the records in the data
select count(*) as total_records
from students;
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DataFrameas
df1
variable
-- Query to retrieve the count of records per student type, categorizing and scoring the records.
SELECT inter_dom, COUNT(inter_dom) AS count_inter_dom
FROM students
GROUP BY inter_dom;
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DataFrameas
df2
variable
-- Filter the data to see how it differs between the student types.
SELECT *
FROM students
WHERE inter_dom NOT LIKE 'D%' AND inter_dom NOT LIKE 'I%' OR inter_dom IS NULL;
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DataFrameas
df3
variable
-- international students form
SELECT "region", COUNT(inter_dom) AS total_inter_dom
FROM students
WHERE inter_dom = 'Inter'
GROUP BY "region";
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DataFrameas
df4
variable
-- Query the basics summary statistics of the diagnostics scores for all students
SELECT
    MIN(todep) AS min_phq,
    MAX(todep) AS max_phq,
    ROUND(AVG(todep), 2) AS avg_phq,
    MIN(ToSc) AS min_scs,
    MAX(ToSc) AS max_scs,
    ROUND(AVG(ToSc), 2) AS avg_scs,
    MIN(ToAs) AS min_as,
    MAX(ToAs) AS max_as,
    ROUND(AVG(ToAs), 2) AS avg_as
FROM students;
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DataFrameas
df6
variable
-- summary statistics for domestic and inter students
SELECT
    MIN(todep) AS min_phq,
    MAX(todep) AS max_phq,
    ROUND(AVG(todep), 2) AS avg_phq,
    MIN(ToSc) AS min_scs,
    MAX(ToSc) AS max_scs,
    ROUND(AVG(ToSc), 2) AS avg_scs,
    MIN(ToAs) AS min_as,
    MAX(ToAs) AS max_as,
    ROUND(AVG(ToAs), 2) AS avg_as
FROM students
WHERE inter_dom IN ('Inter', 'Dom')
GROUP BY inter_dom;
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DataFrameas
df
variable
-- Find the average scores by length of stay for international students, and view them in descending order
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;