Student Performance Analysis

Overview

This project focuses on the analysis and visualization of student performance based on a provided dataset. The dataset includes information about students, including their name, age, score, gender, term, and academic year. The objective is to gain insights into factors influencing academic performance and provide visualizations for a comprehensive understanding.

Project Structure

• data/: Contains the dataset file (e.g., student_data.xlsx).
• requirements.txt: List of Python packages required for the project.
• README.md: Project documentation with an overview, instructions, and findings.

Setup

1. Clone the repository:

   git clone https://github.com/kambiz00/Data-processing-of-students-of-unit-46.git

2. Navigate to the project directory:

   cd Data-processing-of-students-of-unit-46

3. Install the required packages:

   pip install -r requirements.txt

Usage

Execute the cells in order to generate visualizations and insights.

Project Findings

• Descriptive statistics, gender analysis, academic year analysis, correlation insights, score distribution, and term-wise performance visualizations.
• Key insights and recommendations based on the analysis.

Dependencies

• pandas
• numpy
• matplotlib
• seaborn
• plotly
• dash (if using Dash for a dashboard)

Acknowledgments

This project was created by [Kambiz]. Feel free to explore, modify, and contribute👍.