{"version":"1.0","type":"rich","title":"example random access formats","description":"This example compares random-access file formats for geospatial and tabular data, using a table that evaluates Nimble, Lance v2, Apache Avro, Parquet, ORC, SQLite, Arrow, NetCDF, Zarr, FlatGeoBuf, and PMTiles across criteria like indexing, sharding, compression, and performance. The visualization, built with D3.js, renders each format as a row with colored cells encoding metrics, while hover interactions reveal details via tooltips. It draws from a Markdown source file by andrewxhill, highlighting trade-offs between formats for Basin-specific use cases.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-2315ff1be3b272022d9141e2ff02a180?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}