Student Performance Analysis Overview This project analyzes student academic performance using Python. The dataset of student records is explored to understand subject-wise performance differences and the relationship between attendance and academic results.
Technologies Used:
- Python
- Pandas
- Matplotlib
Project Features:
- Data cleaning and preprocessing using Pandas
- Handling missing values in the dataset
- Subject-wise performance comparison
- Data visualization using graphs and charts
- Analysis of patterns between attendance and academic performance
Dataset: The dataset contains student information including:
- Name
- Subject scores (Math, Science, English)
- Attendance percentage
Visualizations: The project includes visualizations such as:
- Bar chart showing average marks by subject
- Scatter plot showing relationship between attendance and total marks
How to Run the Project
- Install required libraries: pip install pandas matplotlib
- Run the Python script: python student_analysis.py
N Ananya Simha Computer Science Engineering Student