This mini project focuses on analyzing student academic performance using Python. The project demonstrates how data analysis and visualization techniques can be used to extract meaningful insights from educational data.
- Python
- Pandas
- Matplotlib
- Jupyter Notebook
The dataset contains marks of students in three subjects:
- Maths
- Science
- English
Each student's total marks and subject-wise performance are analyzed.
- Data loading using Pandas DataFrame
- Calculation of total and average marks
- Statistical analysis using
describe() - Identification of topper and slow learner
- Visualization using line plots and bar charts
- Chitra is the top-performing student overall
- English has the highest subject average
- Performance variations are clearly observed across subjects
Graphs include:
- Subject-wise line plot
- Total marks bar chart
Manikandan P B.Tech – Artificial Intelligence & Data Science