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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';

Start by counting all of the records in the data, then all records per student type to see how the records are categorized and scored.

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DataFrameas
df0
variable
SELECT COUNT(*) AS total_records
FROM students;
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DataFrameas
df1
variable
SELECT inter_dom, COUNT(*) AS count_inter_dom
FROM students
GROUP BY inter_dom;

Filter the data to see how it differs between the student types.

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DataFrameas
df2
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; 

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.

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DataFrameas
df5
variable
SELECT MIN(todep) AS min_phq, MAX(todep) AS max_phq , ROUND(AVG(todep), 2) AS avg_phq
FROM students;
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DataFrameas
df6
variable
SELECT MIN(tosc) AS min_scs, MAX(tosc) AS max_scs , ROUND(AVG(tosc), 2) AS avg_scs
FROM students;