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https://github.com/nitesh-18/result-analysis
https://github.com/nitesh-18/result-analysis
Last synced: 7 days ago
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- Host: GitHub
- URL: https://github.com/nitesh-18/result-analysis
- Owner: Nitesh-18
- Created: 2023-08-23T15:02:55.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-06-25T14:29:29.000Z (5 months ago)
- Last Synced: 2024-06-26T15:16:46.692Z (5 months ago)
- Language: Jupyter Notebook
- Size: 24.4 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Result-Analysis
---
## Overview
This program provides an analysis of the results obtained in a unit test exam across six divisions. It is a menu-driven application designed to offer two main functionalities for data display and analysis.
## Features
1. **Individual Student Data**: Select a student from any division to view their detailed result data, including scores, pass/fail status, and other relevant information.
2. **Division-Wide Results**: Display the result data for an entire division, showing aggregated statistics and performance metrics for all students in that division.
3. **Graphical Analysis**: In the division-wide results, the program also includes a graphical representation of the analysis, visually depicting the number of students who passed and failed.
## Usage
1. **Launch the Program**: Start the application to access the main menu.
2. **Choose an Option**:
- **Option 1**: Enter a student's ID or name to view their individual result data.
- **Option 2**: Select a division to view the overall performance data for that division.
3. **View Results**:
- For individual students, detailed information will be displayed.
- For division-wide results, aggregated data will be presented along with a graphical representation of pass and fail rates.
## Requirements
- Ensure you have the necessary dependencies installed.
- The program is compatible with JupiterLab, Jupiter Notebook, GoogleCollab.
## Installation
1. Clone the repository:
```
git clone https://github.com/yourusername/yourrepository.git
```
2. Navigate to the project directory:
```
cd yourrepository
```
3. Install the required dependencies:
```
pip install -r requirements.txt
```
## Running the Program
1. Navigate to the directory containing the main script.
2. Run the script:
```
python main.py
```
## Contributions
Contributions are welcome! Please fork the repository and submit a pull request with your improvements.
## Contact
For any inquiries or issues, please contact [email protected].
---