Analysis of US Wine AVAs using Wikipedia Pageview Data
This project analyzes the Wikipedia pageviews of U.S. wine American Viticultural Areas (AVAs) using data from Wikimedia's API. By tracking trends in page traffic, we extract insights regarding consumer interest, industry impact, and potential external factors influencing awareness of different AVAs over time.
Interactive AVA Analysis Tool
This interactive tool allows you to analyze the popularity and interest levels for different American Viticultural Areas over time based on Wikipedia pageview data. Select multiple AVAs to compare their trends, adjust time ranges, and discover insights about consumer interest patterns.
Key Features
AVA Selection
Search and select multiple AVAs from a comprehensive list of Wikipedia articles for comparison.
Time Range Customization
Define specific analysis periods with historical data and choose different aggregation levels.
Interactive Visualizations
View dynamic line charts with tooltips and hover details for trend analysis and comparison.
Technical Approach
- Frontend: Developed using React and Material-UI for an interactive user experience.
- Data Fetching: API calls to Wikimedia's REST API for pageview statistics.
- State Management: Context API for managing selected articles, date ranges, and analysis frequency.
- Data Processing: JavaScript functions to transform raw API data into structured time series format.
- Visualization: LineChart components from Material-UI's X-Chart library for trend visualization.
- AI-Driven Analysis: AI-powered insights on trends, anomalies, and recommendations.
Key Insights
- Identification of seasonal patterns in AVA interest throughout the year.
- Correlation between media events and spikes in Wikipedia traffic for specific regions.
- Comparative analysis revealing emerging AVAs with growing consumer awareness.
- Patterns showing how major wine events impact consumer research behavior.
- Trend analysis for marketing opportunity identification based on historical interest.
Try the Interactive AVA Analysis Tool
Explore trends in Wikipedia pageviews for different AVAs and discover consumer interest patterns.