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.
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.
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Clone the repository:
git clone https://github.com/kambiz00/Data-processing-of-students-of-unit-46.git
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Navigate to the project directory:
cd Data-processing-of-students-of-unit-46 -
Install the required packages:
pip install -r requirements.txt
Execute the cells in order to generate visualizations and insights.
- Descriptive statistics, gender analysis, academic year analysis, correlation insights, score distribution, and term-wise performance visualizations.
- Key insights and recommendations based on the analysis.
- pandas
- numpy
- matplotlib
- seaborn
- plotly
- dash (if using Dash for a dashboard)