{"version":"1.0","type":"rich","title":"Testing Multiline","description":"This example loads a tab-separated dataset of daily temperatures for New York, San Francisco, and Austin, then parses it into per-city time series using `d3.tsv` and `data.columns`. The SVG canvas displays a single static text instruction, while the parsed city data is logged to the console for inspection. The code demonstrates how to reshape wide-format tabular data into nested arrays of date–value pairs, though it does not render the actual lines or axes. It uses D3 v4’s selection and data-binding methods, with an SVG viewport sized at 960 by 500 pixels.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-28d62a9be121f4c654c7f035f6bebf0e?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}