Infographics
An argument, not a chart: a headline that states the finding and one view built to prove it.
What happened, and when?
"What happened, and when?" — a 20-week LineChart whose events are declarative annotations anchored to the exact data point they explain, inside a ChartFrame that carries the finding, the method note, a byline and the source row. Under 480 px the notes become numbered markers with a key.
Who improved, who slipped?
"Who improved, who slipped?" — a DumbbellChart slope chart of 6 depots, Q2 → Q3, with the biggest riser and biggest faller emphasised and every other depot on a shared muted line; direction is carried by the line's own slope, never colour alone.
Do customers stay?
"Do customers stay?" — a triangular cohort retention heatmap: one row per monthly signup cohort, one column per month since signup, shaded by the share still active. A cohort younger than N months draws an empty cell, never a fabricated zero. One cohort is called out with a peak ring and a stated, computed gap against its named peers.
What depends on what?
"What depends on what?" — a platform's call graph as a NetworkChart (node size is traffic, colour is tier) beside the same services as a TreeChart of ownership. The headline counts inbound links and names the service most others lean on.
How far from the benchmark?
"How far from the benchmark?" — a sorted DumbbellChart, one row per depot, hollow benchmark marker vs filled actual marker, worst gap first, with the widest gaps emphasised; the gap's sign correctly flips for a lower-is-better metric.
Where do they drop off?
"Where do they drop off?" — a SankeyChart from the channel a request came in on, through what happened to its quote, to how it ended, with a FunnelChart beside it that counts each step. The headline names the channel that loses the largest share of its own requests.
What drives the number?
"What drives the number?" — operating profit as a TreeChart of the metrics it is built from, each node a card with its latest value, a 12-month sparkline and its month-over-month and year-over-year moves. Every parent is computed from its drivers, so the tree always adds up; the headline splits the year's change exactly across the measured drivers and names the one that moved it most. Branches open and close, the tree grows down or across, and selecting a card restates it in words.
Where does the money go?
"Where does the money go?" — a two-level treemap of Q3 cost, category → sub-category, drawn in one neutral mono shade except for the single highlighted tile, outlined and named with a Leader + HaloText callout stating its share and the change from last quarter. Tile area is exactly proportional to cost.
How do the options compare?
"How do the options compare?" — a RadarChart with one shape per option across five scored promises, beside a ParallelCoordinatesChart of the raw measures behind the scores. The headline names the strongest profile and the promise it is weakest on.
Give me the whole picture in one table.
The Power BI-style scorecard, done with an honest baseline on every number: one row per KPI — actual, target, a signed delta, a BulletChart progress-to-target, a 13-week trend, and a named status — in a horizontally scrollable Table.
Which one is the outlier?
"Which depot is the outlier?" — twelve depots in a ChartMultiples grid, one 13-week line per panel on one shared y-axis so height compares directly, each panel title showing its latest reading (or the hovered week’s, synced across every panel), with the outlier ringed (PeakRing), thicker and glyphed while every other depot stays on a muted neutral.
What drove the change?
"What drove the change?" — a revenue bridge from last quarter's total to this quarter's, split into price, volume, mix, FX and other, built with WaterfallChart and a Leader callout on the one or two steps that actually explain the move. Steps sum exactly to the ending total; every step states its own sign in words, never colour alone.