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https://github.com/swapno963/analyzehub-frontend
AnalyzeHub: Dashboard App is a React-based frontend application designed for data visualization using D3.js. The app integrates with a built-in backend using Django. The dashboard features real-time, interactive visualizations including bar charts, pie charts, line charts, box plots, and tables.
https://github.com/swapno963/analyzehub-frontend
d3js reactjs tailwind-css
Last synced: 26 days ago
JSON representation
AnalyzeHub: Dashboard App is a React-based frontend application designed for data visualization using D3.js. The app integrates with a built-in backend using Django. The dashboard features real-time, interactive visualizations including bar charts, pie charts, line charts, box plots, and tables.
- Host: GitHub
- URL: https://github.com/swapno963/analyzehub-frontend
- Owner: Swapno963
- Created: 2024-08-02T18:42:29.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-08-22T11:08:53.000Z (4 months ago)
- Last Synced: 2024-08-22T12:38:41.071Z (4 months ago)
- Topics: d3js, reactjs, tailwind-css
- Language: JavaScript
- Homepage: https://analyze-hub-frontend.vercel.app
- Size: 234 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# AnalyzeHub: Dashboard App Frontend
This is the frontend of the Dashboard App, built with React and utilizing D3.js for data visualization.
## Live Site
You can access the live site [here](https://analyze-hub-frontend.vercel.app/)
## Features
1. Interactive data visualizations with D3.js
2. Dynamic dashboards with bar charts, pie charts, line charts, box plots, and tables
3. API integration for data analysis
4. **Basic summary**
- Hear we showing total data count,average of likelihod,intensity,relevance
- Hear we showing maximun of likelihod,intensity,relevance
- Hear we showing minimun of likelihod,intensity,relevance
5. **Count summary**
- Analyzing the total number of records grouped by sector, topic, region, and country.
6. **Top Data**
- Top 5 records ordered by intensity, impact, relevance, and likelihood from the dashbordModel
- After retrieving the records, they are serialized using Django’s MyModelSerializer to convert the queryset into a JSON format for API response
## set up and Installation
1. Clone the repository:
```sh
git clone https://github.com/Swapno963/AnalyzeHub-Frontend.git
cd AnalyzeHub-Frontend
```
2. Install dependencies:
```sh
npm install
```
3. Run the development server:
```sh
npm run start
```
## Usage
- Access the application at `http://localhost:3000/`
## Contact
If you have any questions or feedback, feel free to contact me:
- Swapno Mondol - [Linkedin](https://www.linkedin.com/in/swapno-mondol/)- [Facebook](https://www.facebook.com/profile.php?id=100090206887787) - [email protected]