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https://github.com/2003harsh/bca-result-analysis
BCA Result Analysis: ๐ Dive into student performance trends with data-driven insights. Clean, visualize, and analyze data for informed decisions in education. ๐๐ก
https://github.com/2003harsh/bca-result-analysis
analytics plotly visualization
Last synced: about 2 months ago
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BCA Result Analysis: ๐ Dive into student performance trends with data-driven insights. Clean, visualize, and analyze data for informed decisions in education. ๐๐ก
- Host: GitHub
- URL: https://github.com/2003harsh/bca-result-analysis
- Owner: 2003HARSH
- License: mit
- Created: 2024-03-24T07:13:13.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-07-06T06:06:25.000Z (6 months ago)
- Last Synced: 2024-07-06T07:24:36.426Z (6 months ago)
- Topics: analytics, plotly, visualization
- Language: Python
- Homepage: https://mlk-bca-result-analysis.streamlit.app/
- Size: 480 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# BCA Result Analysis Project ๐๐
## Overview
This project aims to analyze BCA (Bachelor of Computer Applications) results using data visualization techniques. It provides insights into student performance trends over time, helping educators and administrators make informed decisions.### Screenshots:
![](https://github.com/2003HARSH/BCA-Result-Analysis/blob/main/docs/static/1.png)
![](https://github.com/2003HARSH/BCA-Result-Analysis/blob/main/docs/static/2.png)
![](https://github.com/2003HARSH/BCA-Result-Analysis/blob/main/docs/static/3.png)
![](https://github.com/2003HARSH/BCA-Result-Analysis/blob/main/docs/static/4.png)
![](https://github.com/2003HARSH/BCA-Result-Analysis/blob/main/docs/static/5.png)
![](https://github.com/2003HARSH/BCA-Result-Analysis/blob/main/docs/static/6.png)
![](https://github.com/2003HARSH/BCA-Result-Analysis/blob/main/docs/static/7.png)
![](https://github.com/2003HARSH/BCA-Result-Analysis/blob/main/docs/static/8.png)
![](https://github.com/2003HARSH/BCA-Result-Analysis/blob/main/docs/static/9.png)## Features
- Interactive dashboards using Streamlit ๐
- Visualizations created with Plotly library ๐
- Data cleaning and preprocessing ๐งน
- Statistical analysis of BCA results ๐## How to Use
1. **Clone Repository:**
```
git clone https://github.com/your-username/bca-result-analysis.git
cd bca-result-analysis
```2. **Install Dependencies:**
```
pip install -r requirements.txt
```3. **Run the Streamlit App:**
```
streamlit run app.py
```4. **Access the App:**
Open your browser and go to `http://localhost:8501`.
5. **Live Demo:**
[Click here](https://mlk-bca-result-analysis.streamlit.app/)## Technologies Used
- Python ๐
- Streamlit ๐
- Plotly ๐
- Pandas ๐ผ#DataAnalysis #Education #Streamlit #Plotly #Python #BCA #DataVisualization