This example visualizes a week of San Francisco temperature readings as a single thick line chart, using data loaded from the UCI Machine Learning Repository’s Auto MPG dataset via a GitHub Gist. The visualization is built entirely with the Vega-Lite API, which programmatically registers Vega and Vega-Lite, and uses d3.csv to fetch the data. The line encodes temperature over time, with tooltips enabled through Vega Tooltip, and the chart is styled by a custom config to remove axis domains and adjust font sizes. The visualization auto-fits to the full browser window dimensions.