{"version":"1.0","type":"rich","title":"Data Viz P","description":"This example presents a multi-page agricultural data analysis interface. It uses a web application structure with HTML, CSS, and JavaScript to create a landing page and a separate page containing an embedded visualization. The code loads Plotly, a graphing library, to render a candlestick chart of Apple stock data (AAPL) from a CSV file, fetched via `Plotly.d3.csv`. The interface includes navigation, a \"Home\" link, and an \"ENTER\" button that reveals the visualization iframe, loading its content from a GitHub-hosted HTML file.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/c5b8efbd0cb84fc8bcec795043104884?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}