Student habits performance analysis using mysql to stored data then connect with python to retrive data
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Data collection: Student habits performance dataset (1000 data) collected from kaggle.
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Data handle:
Pandas
to read the dataset and checked null values. -
Data store: Mysqlconnetor to connect with python then
create database,create tables
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Dataset detalis: student_id,age ,gender,study_hours_per_day,social_media_hours,netflix_hours,part_time_job,attendance_percentage ,sleep_hours diet_quality,exercise_frequency,parental_education_level,internet_quality,mental_health_rating,extracurricular_participation,exam_score
insert data to mysql. -
Data retrive: streamlit UI for web based SQL query to retrive data.
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Streamlit:
Students who are more then spend in their studies they are got 100% exam score and mostly female got exam score 100%.