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https://github.com/ac12644/fractz-ai-data-analyst
Analyze data and gain insights instantly with FRACTZ's AI Data Analyst. Flexible, fast analytics tailored to your needs.
https://github.com/ac12644/fractz-ai-data-analyst
ai data-analysis data-visualization
Last synced: 3 days ago
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Analyze data and gain insights instantly with FRACTZ's AI Data Analyst. Flexible, fast analytics tailored to your needs.
- Host: GitHub
- URL: https://github.com/ac12644/fractz-ai-data-analyst
- Owner: ac12644
- Created: 2024-10-27T12:59:39.000Z (21 days ago)
- Default Branch: main
- Last Pushed: 2024-10-27T13:24:47.000Z (21 days ago)
- Last Synced: 2024-10-27T15:09:23.751Z (21 days ago)
- Topics: ai, data-analysis, data-visualization
- Language: TypeScript
- Homepage: https://data-analyst.fractz.com/
- Size: 866 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# FRACTZ AI Data Analyst
A sophisticated Next.js application that combines Claude's capabilities with interactive data visualization to analyze financial data via chat.
## Features
- **Intelligent Data Analysis**: Powered by Claude (Using Claude 3 Haiku & Claude 3.5 Sonnet)
- **Multi-Format File Upload Support**:
- Text/Code files (.txt, .md, .html, .py, .csv, etc)
- PDF documents (Regular PDF with text, scanned documents not supported)
- Images
- **Interactive Data Visualization**: Based on the context and data analyzed, Claude can generate the following charts:
- Line Charts (Time series data & trends)
- Bar Charts (Single metric comparisons)
- Multi-Bar Charts (Multiple metrics comparison)
- Area Charts (Volume/quantity over time)
- Stacked Area Charts (Component breakdowns)
- Pie Charts (Distribution analysis)
## Getting Started
### Prerequisites
- Node.js 18+ installed
- Anthropic API key (For Claude integration)
### Installation
1. Clone the repository:
```bash
git clone https://github.com/ac12644/fractz-ai-data-analyst.git
cd fractz-ai-data-analyst
```
2. Install dependencies:
```bash
npm install
```
3. Create a `.env.local` file in the root directory:
```env
ANTHROPIC_API_KEY=your_api_key_here
```
4. Run the development server:
```bash
npm run dev
```
Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
## Technology Stack
- **Frontend**:
- Next.js 14
- React
- TailwindCSS
- Shadcn/ui Components
- Recharts (For data visualization)
- PDF.js (For PDF processing)
- **Backend**:
- Next.js API Routes
- Edge Runtime
- Anthropic SDK
## Usage Examples
The assistant can help with various financial analysis tasks:
1. **Data Extraction & Analysis**:
- Upload financial documents
- Extract key metrics
- Analyze trends and patterns
2. **Visualization Creation**:
- Generate charts based on data
- Customize visualizations
- Compare multiple metrics
3. **Interactive Analysis**:
- Ask questions about the data
- Request specific visualizations
- Get detailed explanations
## Interesting Use Cases
While primarily designed for financial analysis, the AI assistant can be adapted for various intriguing applications:
1. **Environmental Data Analysis**:
- Analyze climate change trends
- Visualize pollution levels over time
- Compare renewable energy adoption across regions
2. **Sports Performance Tracking**:
- Upload athlete performance data
- Generate visualizations of key metrics
- Analyze trends and patterns in team statistics
3. **Social Media Analytics**:
- Process engagement data from various platforms
- Create charts showing follower growth and interaction rates
- Analyze sentiment trends in user comments
4. **Educational Progress Tracking**:
- Upload student performance data
- Visualize learning progress over time
- Compare different teaching methods or curriculums
5. **Health and Fitness Monitoring**:
- Process personal health data from wearables
- Create charts for metrics like steps, heart rate, and sleep patterns
- Analyze long-term health trends and provide insights
You can even use charts and images to create interesting results, like the ability to see what's most common inside a picture using a pie chart.
