{"version":"1.0","type":"rich","title":"Fork of HTML Starter","description":"This dashboard analyzes semiconductor manufacturing sensor data from the UCI SECOM dataset, visualizing fault detection with a dark-themed layout. It combines four Chart.js (v4.4.1) canvas charts: two donut charts showing class balance and feature quality, a horizontal bar chart ranking top sensors by Cohen's d effect size, and a distribution chart for the strongest feature. The code dynamically loads Chart.js from a CDN and uses custom legends, HTML/CSS stat cards, and responsive grid styling.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/a87ee01ab04344a88634df5c2cdd8550?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}