Charting Intelligence & Data-to-Viz Pipeline Engineering

Enable any agent to (1) instantly identify the exact chart needed from raw data, (2) generate the precise path of queries/transforms to materialize that chart, and (3) evaluate and choose the optimal charting library/stack based on performance, scale, and interactivity requirements.

This is not "just call a library" — it is full-stack visualization strategy.

1. Core Decision Framework — Choosing the Chart That Fits the Data AND the Story

Before any code runs, answer these questions in order:

What is the goal of the viewer?

Goal	Chart Type
Compare values	Bar/Column (grouped or stacked)
Show trend over time	Line or Area
Show distribution / spread	Histogram, Box Plot, Violin
Show relationship / correlation	Scatter, Bubble, Heatmap
Show composition / parts-of-whole	Stacked Bar or Area (never pie if >5 slices)