Data Dashboard

Data visualization demands a different color discipline than brand or editorial work. Colors must communicate data structure — category membership, sequential magnitude, divergence from a norm — without evoking false emotional associations. This palette builds a minimal but complete categorical foundation for dashboard design: cobalt-tone-vivid as the primary data series anchor, providing clear legibility against both light and dark dashboard backgrounds; teal-ink-muted as the secondary series color, maximally distinguishable from cobalt in both hue and temperature; amber-bloom-soft as the warning state, warm and attention-drawing without the false urgency of red; crimson-tone-soft as the alert state, clearly negative but not alarming; cobalt-tone-muted as the neutral baseline, appropriate for inactive series, disabled states, and zero-value bars. The palette was designed to maintain categorical distinguishability through common forms of color vision deficiency — lightness variation between any two colors exceeds 18 OKLCH L units.

Use cobalt-tone-vivid for the primary data series only — do not use it for UI chrome in the same interface, as mixing data-encoding and UI-encoding roles for the same color is a leading source of user confusion. amber-bloom-soft is the warning token, not a decorative accent. Test this palette in grayscale before finalizing: each color should remain distinguishable by lightness alone. Recommended pairing: use a very light warm white (#f8f7f5) as the chart background with these colors; on dark dashboards, increase all lightness values by 10-15 OKLCH L units.