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8d:T578a,[V0_FILE]typescriptreact:file="app/page.tsx" isMerged="true" import { DataWorkbench } from "@/components/data-workbench" export default function Home() { return } [V0_FILE]typescriptreact:file="components/data-workbench.tsx" isMerged="true" "use client" import { useState } from "react" import { Header } from "./workbench/header" import { RecommendedSection } from "./workbench/recommended-section" import { TrendingSection } from "./workbench/trending-section" import { CategorySection } from "./workbench/category-section" import { DatasetsSection } from "./workbench/datasets-section" export function DataWorkbench() { const [activeTab, setActiveTab] = useState<"public" | "private">("public") return (

) } [V0_FILE]typescriptreact:file="components/workbench/header.tsx" isMerged="true" "use client" interface HeaderProps { activeTab: "public" | "private" setActiveTab: (tab: "public" | "private") => void } export function Header({ activeTab, setActiveTab }: HeaderProps) { return (

Data Workbench

Enterprise Data Intelligence Platform

) } [V0_FILE]typescriptreact:file="app/layout.tsx" isMerged="true" import type React from "react" import type { Metadata } from "next" import { Geist, Geist_Mono } from "next/font/google" import { Analytics } from "@vercel/analytics/next" import "./globals.css" const _geist = Geist({ subsets: ["latin"] }) const _geistMono = Geist_Mono({ subsets: ["latin"] }) export const metadata: Metadata = { title: "Data Workbench", description: "Enterprise Data Intelligence Platform", generator: "v0.app", icons: { icon: [ { url: "/icon-light-32x32.png", media: "(prefers-color-scheme: light)", }, { url: "/icon-dark-32x32.png", media: "(prefers-color-scheme: dark)", }, { url: "/icon.svg", type: "image/svg+xml", }, ], apple: "/apple-icon.png", }, } export default function RootLayout({ children, }: Readonly<{ children: React.ReactNode }>) { return ( {children} ) } [V0_FILE]json:file="package.json" isMerged="true" { "name": "my-v0-project", "version": "0.1.0", "private": true, "scripts": { "dev": "next dev", "build": "next build", "start": "next start", "lint": "eslint ." }, "dependencies": { "@hookform/resolvers": "^3.10.0", "@radix-ui/react-accordion": "1.2.2", "@radix-ui/react-alert-dialog": "1.1.4", "@radix-ui/react-aspect-ratio": "1.1.1", "@radix-ui/react-avatar": "1.1.2", "@radix-ui/react-checkbox": "1.1.3", "@radix-ui/react-collapsible": "1.1.2", "@radix-ui/react-context-menu": "2.2.4", "@radix-ui/react-dialog": "1.1.4", "@radix-ui/react-dropdown-menu": "2.1.4", "@radix-ui/react-hover-card": "1.1.4", "@radix-ui/react-label": "2.1.1", "@radix-ui/react-menubar": "1.1.4", "@radix-ui/react-navigation-menu": "1.2.3", "@radix-ui/react-popover": "1.1.4", "@radix-ui/react-progress": "1.1.1", "@radix-ui/react-radio-group": "1.2.2", "@radix-ui/react-scroll-area": "1.2.2", "@radix-ui/react-select": "2.1.4", "@radix-ui/react-separator": "1.1.1", "@radix-ui/react-slider": "1.2.2", "@radix-ui/react-slot": "1.1.1", "@radix-ui/react-switch": "1.1.2", "@radix-ui/react-tabs": "1.1.2", "@radix-ui/react-toast": "1.2.4", "@radix-ui/react-toggle": "1.1.1", "@radix-ui/react-toggle-group": "1.1.1", "@radix-ui/react-tooltip": "1.1.6", "@vercel/analytics": "1.3.1", "autoprefixer": "^10.4.20", "class-variance-authority": "^0.7.1", "clsx": "^2.1.1", "cmdk": "1.0.4", "date-fns": "4.1.0", "embla-carousel-react": "8.5.1", "input-otp": "1.4.1", "lucide-react": "^0.454.0", "next": "16.0.10", "next-themes": "^0.4.6", "react": "19.2.0", "react-day-picker": "9.8.0", "react-dom": "19.2.0", "react-hook-form": "^7.60.0", "react-resizable-panels": "^2.1.7", "recharts": "2.15.4", "sonner": "^1.7.4", "tailwind-merge": "^3.3.1", "tailwindcss-animate": "^1.0.7", "vaul": "^1.1.2", "zod": "3.25.76" }, "devDependencies": { "@tailwindcss/postcss": "^4.1.9", "@types/node": "^22", "@types/react": "^19", "@types/react-dom": "^19", "postcss": "^8.5", "tailwindcss": "^4.1.9", "tw-animate-css": "1.3.3", "typescript": "^5" } } [V0_FILE]typescriptreact:file="lib/category-colors.ts" isEdit="true" isMerged="true" import { DollarSign, ShoppingCart, Plane, Smartphone, Globe, Building2, GraduationCap } from "lucide-react" export type Category = "financial" | "ecommerce" | "travel" | "mobile" | "geospatial" | "company" | "research" export const categoryColors: Record = { financial: { text: "text-blue-600", bg: "bg-blue-50", full: "text-blue-600 bg-blue-50", }, ecommerce: { text: "text-orange-600", bg: "bg-orange-50", full: "text-orange-600 bg-orange-50", }, travel: { text: "text-red-500", bg: "bg-red-50", full: "text-red-500 bg-red-50", }, mobile: { text: "text-slate-600", bg: "bg-slate-100", full: "text-slate-600 bg-slate-100", }, geospatial: { text: "text-green-600", bg: "bg-green-50", full: "text-green-600 bg-green-50", }, company: { text: "text-purple-600", bg: "bg-purple-50", full: "text-purple-600 bg-purple-50", }, research: { text: "text-teal-600", bg: "bg-teal-50", full: "text-teal-600 bg-teal-50", }, } export const categoryNames: Record = { financial: "Financial", ecommerce: "E-Commerce", travel: "Travel", mobile: "Mobile Apps", geospatial: "Geospatial", company: "Company", research: "Research", } export const categoryIcons: Record = { financial: DollarSign, ecommerce: ShoppingCart, travel: Plane, mobile: Smartphone, geospatial: Globe, company: Building2, research: GraduationCap, } [V0_FILE]typescriptreact:file="components/workbench/recommended-section.tsx" isEdit="true" isQuickEdit="true" isMerged="true" import { Sparkles } from "lucide-react" import { DatasetCard } from "./dataset-card" import type { Category } from "@/lib/category-colors" const recommendedData: { id: string title: string subtitle?: string description: string tags: string[] recommendation: string category: Category }[] = [ { id: "1", title: "Google Flights", subtitle: "Global Airfare Dynamics", description: "Exploring airfares across routes and dates to reveal booking sweet spots, nonstop premiums, and route-level price patterns.", tags: ["Fare Trends", "Price Calendar", "Route-Level Analytics", "Stops & Cabin Options", "Booking Sweet Spots"], recommendation: "Similar to 'Amazon Orders'", category: "travel", }, { id: "2", title: "Google Maps", subtitle: "Geospatial Business Intelligence", description: "Mapping business quality across neighborhoods with ratings, review volumes, and evolving customer feedback.", tags: ["Places Search", "Geospatial Insights", "Area Benchmarking", "POI Categorization"], recommendation: "Based on recent search 'POI'", category: "geospatial", }, { id: "3", title: "Financial Market Data", subtitle: "Company Info•Stock•Macro•News Data", description: "Combining real-time & authoritative data to gain multi-dimensional, market-focused insights.", tags: ["Balance Sheet", "Market Prices & Volume", "Macro Indicator"], recommendation: "Trending in your team", category: "financial", }, ] export function RecommendedSection() { return (

Recommended for you

Personalized picks based on your usage

{recommendedData.map((item) => ( ))}

) } [V0_FILE]typescriptreact:file="components/workbench/dataset-card.tsx" isEdit="true" isQuickEdit="true" isMerged="true" import { Card, CardContent } from "@/components/ui/card" import { type Category, categoryColors, categoryIcons } from "@/lib/category-colors" import { Sparkle } from "lucide-react" interface DatasetCardProps { title: string subtitle?: string description: string tags: string[] recommendation?: string category: Category showRecommendation?: boolean } export function DatasetCard({ title, subtitle, description, tags, recommendation, category, showRecommendation, }: DatasetCardProps) { const IconComponent = categoryIcons[category] const colors = categoryColors[category] return (

{showRecommendation && recommendation && (

{recommendation}

)}

{title}

{subtitle &&

{subtitle}

}

{description}

{tags.slice(0, 5).map((tag, idx) => ( {tag} ))}

) } [V0_FILE]typescriptreact:file="components/workbench/trending-section.tsx" isEdit="true" isQuickEdit="true" isMerged="true" "use client" import { TrendingUp, ChevronLeft, ChevronRight } from "lucide-react" import { DatasetCard } from "./dataset-card" import { Button } from "@/components/ui/button" import type { Category } from "@/lib/category-colors" const trendingData: { id: string title: string subtitle?: string description: string tags: string[] category: Category }[] = [ { id: "1", title: "Amazon Search", subtitle: "Retail Pricing & Rankings", description: "Comparing product prices, discounts, ratings, and review volumes across categories and sellers.", tags: ["Pricing", "Rankings", "Deals", "Reviews", "Prime Shipping"], category: "ecommerce", }, { id: "2", title: "Tripadvisor Search", subtitle: "Traveler Sentiment & POIs", description: "Exploring destinations, hotels, restaurants, and attractions with ratings, reviews, and popularity signals from travelers.", tags: ["Destinations", "Hotels and Stays", "Restaurants", "Ratings and Reviews", "Travelers' Choice"], category: "travel", }, { id: "3", title: "Google Play Store", subtitle: "Android App Ecosystem", description: "Exploring app categories, pricing models, ratings, and popularity across markets and devices.", tags: ["Category Rankings", "Pricing Models", "Ratings and Reviews", "Installs and Growth", "Market Segments"], category: "mobile", }, ] export function TrendingSection() { return (

Trending this week

{trendingData.map((item) => ( ))}

) } [V0_FILE]typescriptreact:file="components/workbench/datasets-section.tsx" isEdit="true" isQuickEdit="true" "use client" import { useState } from "react" import { Search } from "lucide-react" import { Input } from "@/components/ui/input" import { DatasetCard } from "./dataset-card" import type { Category } from "@/lib/category-colors" const allDatasets: { id: string title: string subtitle?: string description: string tags: string[] category: Category }[] = [ // Travel (红色 - Plane icon) { id: "1", title: "Google Flights", subtitle: "Global Airfare Dynamics", description: "Exploring airfares across routes and dates to reveal booking sweet spots, nonstop premiums, and route-level price patterns.", tags: ["Fare Trends", "Price Calendar", "Route-Level Analytics", "Stops & Cabin Options", "Booking Sweet Spots"], category: "travel", }, { id: "2", title: "Tripadvisor Search", subtitle: "Traveler Sentiment & POIs", description: "Exploring destinations, hotels, restaurants, and attractions with ratings, reviews, and popularity signals from travelers.", tags: ["Destinations", "Hotels and Stays", "Restaurants", "Ratings and Reviews", "Travelers' Choice"], category: "travel", }, // Geospatial (绿色 - Globe icon) { id: "3", title: "Google Maps", subtitle: "Geospatial Business Intelligence", description: "Mapping business quality across neighborhoods with ratings, review volumes, and evolving customer feedback.", tags: ["Places Search", "Geospatial Insights", "Area Benchmarking", "POI Categorization"], category: "geospatial", }, { id: "4", title: "Google Trends", subtitle: "Global Realtime Attention", description: "Tracking search dynamics across time and geography, revealing rising topics and comparative keyword patterns.", tags: ["Hot Topics", "Interest Over Time", "Volume Peak", "Regional Distribution"], category: "geospatial", }, // Mobile Apps (灰色 - Smartphone icon) { id: "5", title: "Google Play Store", subtitle: "Android App Ecosystem", description: "Exploring app categories, pricing models, ratings, and popularity across markets and devices.", tags: ["Category Rankings", "Pricing Models", "Ratings and Reviews", "Installs and Growth", "Market Segments"], category: "mobile", }, { id: "6", title: "Apple App Store", subtitle: "iOS Market Performance", description: "Exploring iOS app categories, pricing models, ratings, and release patterns across regions.", tags: ["Apps", "Pricing Models", "Ratings and Reviews", "Release Updates"], category: "mobile", }, // E-Commerce (橙色 - ShoppingCart icon) { id: "7", title: "Amazon Search", subtitle: "Retail Pricing & Rankings", description: "Comparing product prices, discounts, ratings, and review volumes across categories and sellers.", tags: ["Pricing", "Rankings", "Deals", "Reviews", "Prime Shipping"], category: "ecommerce", }, // Financial (蓝色 - DollarSign icon) { id: "8", title: "Financial Market Data", subtitle: "Company Info•Stock•Macro•News Data", description: "Combining real-time & authoritative data to gain multi-dimensional, market-focused insights.", tags: ["Balance Sheet", "Market Prices & Volume", "Macro Indicator", "Cash Flow&Earnings"], category: "financial", }, { id: "9", title: "Financial Report", subtitle: "Company Reports from U.S. SEC", description: "Provides corporate info from SEC-sourced data on performance, risks, executive compensation, and key events.", tags: ["Annual Report", "Quarterly Reports", "Proxy Statements", "Events Report"], category: "financial", }, // Company (紫色 - Building2 icon) { id: "10", title: "Company Information", subtitle: "Company Structure & Dynamics", description: "Verified company infos on operations, leadership, products, and market positioning from trusted sources.", tags: ["Leadership", "Product Portfolio", "Scope", "Working Culture", "Branding"], category: "company", }, { id: "11", title: "LinkedIn Post", subtitle: "Professional Network Insights", description: "Delivering structured data across profiles, company pages, posts, articles, job listing and other career-related infos.", tags: ["Hiring Trend", "Company Structure", "Team Dynamics", "Career History"], category: "company", }, // Research (青色 - GraduationCap icon) { id: "12", title: "Industry Paper", subtitle: "PDF-based industry content", description: "Gain insights on trends and frameworks from authoritative PDFs—whitepapers, research, and filings.", tags: ["Whitepapers", "Consulting Firm Reports", "Vendor Documentation", "Manuals"], category: "research", }, { id: "13", title: "Academic Research", subtitle: "Academic & Technical Publication", description: "Structured access to peer-reviewed research and institutional studies, offering insights in academia.", tags: ["Benchmarks", "Domain-Specific Focus", "Citation Network", "Co-author Clusters"], category: "research", }, ] export function DatasetsSection() { const [searchQuery, setSearchQuery] = useState("") const filteredDatasets = allDatasets.filter( (dataset) => dataset.title.toLowerCase().includes(searchQuery.toLowerCase()) || dataset.description.toLowerCase().includes(searchQuery.toLowerCase()) || dataset.tags.some((tag) => tag.toLowerCase().includes(searchQuery.toLowerCase())), ) return (

All Datasets

setSearchQuery(e.target.value)} className="pl-9" />

{filteredDatasets.map((dataset) => ( ))}

) } [V0_FILE]typescriptreact:file="components/workbench/category-section.tsx" isEdit="true" isQuickEdit="true" import { DollarSign, ShoppingCart, Plane, Smartphone, Globe, Building2, GraduationCap } from "lucide-react" import { type Category, categoryColors, categoryNames } from "@/lib/category-colors" const categories: { key: Category; count: number; icon: typeof DollarSign }[] = [ { key: "financial", count: 2, icon: DollarSign }, { key: "ecommerce", count: 1, icon: ShoppingCart }, { key: "travel", count: 2, icon: Plane }, { key: "mobile", count: 2, icon: Smartphone }, { key: "geospatial", count: 2, icon: Globe }, { key: "company", count: 2, icon: Building2 }, { key: "research", count: 2, icon: GraduationCap }, ] export function CategorySection() { return (

Browse by Category

{categories.map((category) => ( ))}

) }84:["$","$L8b",null,{"chatId":"eSN4tVbuKET","children":["$","$L8c",null,{"data":{"@\"active-block\",\"eSN4tVbuKET\",":{"id":"b_mxPBILcBLWs","messageId":"SFCfbKkt6NEmdP5yO9K5AW9Ih5V3Cn0y","source":"$8d","language":"typescriptreact","type":"code-project","closed":true,"meta":{"type":"code-project","project":"Code","taskNameActive":"Changing APIs to Datasets","taskNameComplete":"Changed APIs to Datasets"},"hasSourceBeenEdited":false,"forkedFromBlockId":"$undefined"},"@\"chat:vm-mode\",\"eSN4tVbuKET\",":false,"":null},"children":"$L8e"}]}]

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