Skip to content
Project: Analyzing Students' Mental Health in SQL
  • AI Chat
  • Code
  • Report
  • 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
    SELECT * FROM public.students
    Unknown integration
    DataFrameavailable as
    df3
    variable
    Select * from students where inter_dom like 'Inter%'
    Unknown integration
    DataFrameavailable as
    df4
    variable
    Select * from students where inter_dom like 'Dom%'
    Unknown integration
    DataFrameavailable as
    df5
    variable
    Select * from students where inter_dom Not like 'Inter%' and inter_dom not like 'Dom%'
    Unknown integration
    DataFrameavailable as
    df6
    variable
    Select min(todep) as min_phq, max(todep) as max_phq,
    round(avg(todep),2) as avg_phq from students
    Unknown integration
    DataFrameavailable as
    df7
    variable
    Select min(tosc) as min_scs, max(tosc) as max_scs,
    round(avg(tosc),2) as avg_scs from students
    Unknown integration
    DataFrameavailable as
    df8
    variable
    Select min(toas) as min_as, max(toas) as max_as,
    round(avg(toas),2) as avg_as from students
    Unknown integration
    DataFrameavailable as
    df9
    variable
    Select inter_dom, min(todep) as min_phq, max(todep) as max_phq,
    round(avg(todep),2) as avg_phq from students 
    where inter_dom ='Inter' group by inter_dom
    Unknown integration
    DataFrameavailable as
    df10
    variable
    Select inter_dom,min(tosc) as min_scs, max(tosc) as max_scs,
    round(avg(tosc),2) as avg_scs from students
    where inter_dom ='Inter' group by inter_dom
    Unknown integration
    DataFrameavailable as
    df11
    variable
    Select inter_dom,min(toas) as min_as, max(toas) as max_as,
    round(avg(toas),2) as avg_as from students
    where inter_dom ='Inter' group by inter_dom
    Unknown integration
    DataFrameavailable as
    df12
    variable
    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;
    Unknown integration
    DataFrameavailable as
    df
    variable
    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;