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Claude Financial Data Analyst

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Claude Financial 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
  • Claude API key (For Claude integration)

Installation

  1. Clone the repository:
bash
git clone https://github.com/anthropics/anthropic-quickstarts.git
cd anthropic-quickstarts/financial-data-analyst
  1. Install dependencies:
bash
npm install
  1. Create a .env.local file in the root directory:
env
ANTHROPIC_API_KEY=your_api_key_here
  1. Run the development server:
bash
npm run dev

Open 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.