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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';
    Unknown integration
    DataFrameavailable as
    df
    variable
    -- Start coding here...
    --Count of all students and count of student types
    SELECT coalesce(inter_dom, 'No_identity') AS student_type, COUNT(*) AS total_students, 
    	   COUNT(inter_dom) AS total_student_types
    FROM students
    GROUP BY inter_dom;
    Unknown integration
    DataFrameavailable as
    df
    variable
    --Info of International students
    SELECT *
    FROM students
    WHERE inter_dom LIKE 'Inte%';
    Unknown integration
    DataFrameavailable as
    df1
    variable
    --Info of Domestic students
    SELECT *
    FROM students
    WHERE inter_dom LIKE 'Dom%';
    Unknown integration
    DataFrameavailable as
    df
    variable
    --summary statistics by length of stay for all students
    SELECT stay,
    		sum(todep) AS sum_php, 
    	    sum(tosc) AS sum_toscs,
    		sum(toas) AS sum_as,
    		round(avg(todep),2) AS avg_phq, 
    	    round(avg(tosc),2) AS avg_scs, 
    		round(avg(toas),2) AS avg_as
    FROM students
    GROUP BY stay
    ORDER BY stay;
    Unknown integration
    DataFrameavailable as
    df
    variable
    --average scores by length of stay for all students
    SELECT stay, 
    		round(avg(todep),2) AS avg_phq, 
    	    round(avg(tosc),2) AS avg_scs, 
    		round(avg(toas),2) AS avg_as
    FROM students
    GROUP BY stay
    ORDER BY stay;
    Unknown integration
    DataFrameavailable as
    df
    variable
    --average scores by length of stay for International students
    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;