š How Food Habits & Lifestyle Impact Student GPA ā Dataset + Python Code
This package contains the complete dataset and Python analysis code used in the project:
āHow Food Habits and Lifestyle Impact Student GPAā ā a real-world data science case study.
Itās designed for students, beginners, educators, and analysts who want to learn applied data analysis with meaningful data ā not toy examples.
š What Youāll Get
ā Cleaned CSV dataset on student food habits & lifestyle
ā Full Jupyter Notebook / Python script with step-by-step analysis
ā Data preprocessing & cleaning logic
ā Exploratory Data Analysis (EDA)
ā Correlation analysis between lifestyle factors & GPA
ā Visualization code (charts & graphs)
ā Clearly commented, beginner-friendly Python code
š Dataset Includes Features Like
⢠GPA
⢠Diet type (healthy / unhealthy)
⢠Breakfast habit
⢠Sleep duration
⢠Physical activity
⢠Stress level
⢠Screen time
⢠Junk food frequency
⢠Study hours
⢠Water intake
(Exact fields included in the dataset may vary slightly.)
š Technologies Used
⢠Python 3
⢠Pandas
⢠NumPy
⢠Matplotlib / Seaborn
⢠Jupyter Notebook
šÆ Who Is This For?
ā Students learning data science
ā Python beginners practicing real projects
ā Teachers looking for classroom material
ā Data analysts building portfolios
ā Anyone interested in how lifestyle affects academic performance
š§ What You Will Learn
⢠How to clean messy real-world data
⢠How to perform EDA step-by-step
⢠How to visualize relationships between variables
⢠How to interpret correlations and insights
⢠How to present data-driven conclusions
š Why Buy This Instead of Free Content?
Most tutorials show perfect data. This project shows real, imperfect data and teaches you how to:
⢠Handle missing values
⢠Convert categories to numbers
⢠Detect bias and limitations
⢠Interpret results responsibly
This makes it far more valuable for learning real-world analysis.
š¦ Delivery Format
⢠Downloadable ZIP file
⢠Includes dataset + code + instructions
⢠Lifetime access after purchase
ā Disclaimer
This dataset is for educational and research purposes only.
It does not represent medical, psychological, or academic advice.
ā¤ļø Support
If you have any questions or issues after purchase, feel free to contact me ā Iām happy to help you learn and improve š