{"version":"1.0","type":"rich","title":"Streaming blog charts","description":"Three charts compare streaming versus full dataset processing in Python. The first shows runtime and memory tradeoffs across chunk sizes, with runtime and memory on independent y-axes sharing a log-scaled x-axis. The second and third use Vega-Lite line charts to plot memory footprint and runtime against dataset size, colored by method. The visualizations reveal that streaming keeps memory nearly flat while full processing grows linearly, though streaming incurs slightly higher runtime.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-488042d212f6ca0c4d44ab3a8116e15a?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}