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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';
  1. Explore and understand the data
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DataFrameas
df2
variable
SELECT COUNT(*) AS total_records
FROM students;
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DataFrameas
df
variable
SELECT inter_dom, COUNT(*) AS count_inter_dom
FROM students
GROUP BY inter_dom;
  1. Filter to understand the data for each student type
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DataFrameas
df1
variable
SELECT *
FROM students
WHERE inter_dom = 'Inter';
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DataFrameas
df3
variable
SELECT *
FROM students
WHERE inter_dom = 'Dom';
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DataFrameas
df4
variable
SELECT *
FROM students
WHERE inter_dom IS NULL;
  1. Query the summary statistics of the diagnostics scores for all student
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DataFrameas
df5
variable
SELECT inter_dom, MIN(todep) AS min_phq, MAX(todep) AS max_phq, ROUND(AVG(todep)) AS avg_phq
FROM students
GROUP BY inter_dom;
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DataFrameas
df6
variable
SELECT inter_dom, MIN(tosc) AS min_scs, MAX(tosc) AS max_scs, ROUND(AVG(tosc)) AS avg_scs
FROM students
GROUP BY inter_dom;
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DataFrameas
df7
variable
SELECT inter_dom, MIN(toas) AS min_as, MAX(toas) AS max_as, ROUND(AVG(toas)) AS avg_as
FROM students
GROUP BY inter_dom;