Added JS dashboard

web/js_dashboard/.gitignore

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+# Dependencies
+node_modules
+.pnp
+.pnp.js
+
+# Testing
+coverage
+
+# Production
+dist
+dist-ssr
+*.local
+
+# Editor directories and files
+.vscode/*
+!.vscode/extensions.json
+.idea
+.DS_Store
+*.suo
+*.ntvs*
+*.njsproj
+*.sln
+*.sw?
+
+# Environment files
+.env
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local
+
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+pnpm-debug.log*
+lerna-debug.log*
+
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+env/
+build/
+develop-eggs/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+venv/
+.venv/
+
+# Backend
+*.parquet

web/js_dashboard/README.md

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+# OpenSciMetrics Javascript Dashboard
+
+## Features
+
+- 📊 Interactive data visualization of open science trends
+- 📈 Time series analysis of open code and data practices
+- 🔍 Advanced filtering capabilities
+- 📱 Responsive design for all devices
+- ⚡ Real-time data processing
+- 🎯 Performance-optimized for large datasets
+
+## Tech Stack
+
+### Frontend
+- React with TypeScript
+- Recharts for data visualization
+- Tailwind CSS for styling
+- Axios for API communication
+- Lucide React for icons
+
+### Backend
+- FastAPI (Python)
+- Pandas for data processing
+- Uvicorn ASGI server
+- Parquet file handling
+
+## Getting Started
+
+### Prerequisites
+
+- Python 3.8 or higher
+- Node.js 16 or higher
+- npm or yarn
+- Virtual environment (recommended)
+
+### Data Setup
+
+1. Place your `matches.parquet` file in the `backend` directory:
+```
+backend/
+  ├── matches.parquet  # Place your Parquet file here
+  ├── main.py
+  ├── routers/
+  └── services/
+```
+
+### Backend Setup
+
+1. Create and activate virtual environment:
+```bash
+python -m venv venv
+source venv/bin/activate  # Unix
+.\venv\Scripts\activate   # Windows
+```
+
+2. Install dependencies:
+```bash
+pip install fastapi uvicorn pandas pyarrow
+```
+
+3. Start the server:
+```bash
+uvicorn main:app --reload
+```
+
+The API will be available at `http://localhost:8000`
+
+### Frontend Setup
+
+1. Install dependencies:
+```bash
+npm install
+```
+
+2. Start development server:
+```bash
+npm run dev
+```
+
+The application will be available at `http://localhost:5173`
+
+## Project Structure
+
+```
+.
+├── backend/
+│   ├── main.py                 # FastAPI application entry point
+│   ├── routers/
+│   │   └── metrics.py         # API route definitions
+│   └── services/
+│       └── data_service.py    # Data processing logic
+│
+├── src/
+│   ├── components/            # React components
+│   │   ├── charts/           # Data visualization components
+│   │   ├── filters/          # Filter components
+│   │   ├── layout/           # Layout components
+│   │   └── metrics/          # Metric display components
+│   ├── hooks/                # Custom React hooks
+│   ├── services/             # API services
+│   ├── types/                # TypeScript type definitions
+│   └── utils/                # Utility functions
+│
+└── public/                   # Static assets
+```
+
+## API Endpoints
+
+- `GET /api/summary` - Get overall metrics summary
+- `GET /api/timeseries` - Get time series data
+- `GET /api/country-distribution` - Get data distribution by country
+- `GET /api/journal-distribution` - Get data distribution by journal
+
+## Development
+
+### Code Style
+
+- Frontend follows TypeScript best practices
+- Backend uses Python type hints
+- ESLint and Prettier for code formatting
+- Pre-commit hooks for code quality
+
+## Acknowledgments
+
+- Data source: [OpenSciMetrics Dataset](https://github.com/nimh-dsst/osm)
+- Built with [FastAPI](https://fastapi.tiangolo.com/) and [React](https://reactjs.org/)
+- Visualization powered by [Recharts](https://recharts.org/)

web/js_dashboard/backend/main.py

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+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+from routers import metrics
+
+app = FastAPI(title="OpenSciMetrics API")
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["http://localhost:5173"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+app.include_router(metrics.router, prefix="/api")

web/js_dashboard/backend/routers/metrics.py

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+from fastapi import APIRouter
+from services.data_service import DataService
+
+router = APIRouter()
+data_service = DataService()
+
+@router.get("/summary")
+async def get_summary():
+    return data_service.get_summary()
+
+@router.get("/timeseries")
+async def get_timeseries():
+    return data_service.get_timeseries()
+
+@router.get("/country-distribution")
+async def get_country_distribution():
+    return data_service.get_country_distribution()
+
+@router.get("/journal-distribution")
+async def get_journal_distribution():
+    return data_service.get_journal_distribution()

web/js_dashboard/backend/services/data_service.py

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+import pandas as pd
+from typing import List, Dict
+
+class DataService:
+    def __init__(self):
+        self.df = pd.read_parquet("matches.parquet")
+
+    def get_summary(self) -> Dict:
+        return {
+            "totalRecords": len(self.df),
+            "openCodePercentage": float(self.df['is_open_code'].mean() * 100),
+            "openDataPercentage": float(self.df['is_open_data'].mean() * 100),
+            "uniqueJournals": int(self.df['journal'].nunique()),
+            "uniqueCountries": int(self.df['affiliation_country'].nunique()),
+        }
+
+    def get_timeseries(self) -> List[Dict]:
+        yearly_stats = self.df.groupby('year').agg({
+            'is_open_code': 'mean',
+            'is_open_data': 'mean'
+        }).reset_index()
+
+        return [
+            {
+                "year": int(row['year']),
+                "openCode": round(float(row['is_open_code'] * 100), 2),
+                "openData": round(float(row['is_open_data'] * 100), 2)
+            }
+            for _, row in yearly_stats.iterrows()
+        ]
+
+    def get_country_distribution(self) -> List[Dict]:
+        return (self.df['affiliation_country']
+                .value_counts()
+                .head(10)
+                .to_dict())
+
+    def get_journal_distribution(self) -> List[Dict]:
+        return (self.df['journal']
+                .value_counts()
+                .head(10)
+                .to_dict())

web/js_dashboard/eslint.config.js

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+import js from '@eslint/js';
+import globals from 'globals';
+import reactHooks from 'eslint-plugin-react-hooks';
+import reactRefresh from 'eslint-plugin-react-refresh';
+import tseslint from 'typescript-eslint';
+
+export default tseslint.config(
+  { ignores: ['dist'] },
+  {
+    extends: [js.configs.recommended, ...tseslint.configs.recommended],
+    files: ['**/*.{ts,tsx}'],
+    languageOptions: {
+      ecmaVersion: 2020,
+      globals: globals.browser,
+    },
+    plugins: {
+      'react-hooks': reactHooks,
+      'react-refresh': reactRefresh,
+    },
+    rules: {
+      ...reactHooks.configs.recommended.rules,
+      'react-refresh/only-export-components': [
+        'warn',
+        { allowConstantExport: true },
+      ],
+    },
+  }
+);

web/js_dashboard/index.html

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+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <link rel="icon" type="image/svg+xml" href="/vite.svg" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>JS Dashboard</title>
+  </head>
+  <body>
+    <div id="root"></div>
+    <script type="module" src="/src/main.tsx"></script>
+  </body>
+</html>