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Spectrum Monitor Chart

When to use

• You need to show a range (low–high) and a current value against it — prices, temperatures, readings, benchmarks
• A dashboard needs a compact visual that says "this value is inside / outside the healthy band" at a glance
• You're comparing several items on the same scale and a bar chart would hide the spread
• A report needs a visual that non-technical readers can read without a legend tutorial
• You want one chart type that works for monitoring — readings that update over time against fixed bands

Workflow

1. Define the scale and the bands (input: metric + healthy/expected range → output: axis with labeled bands)
   Set the axis min and max from the data's real extremes (plus a small margin), then mark the bands that matter: e.g., low / normal / high, or below-target / on-target / above-target. Each band gets a label and a color step on a single gradient (light → strong), not a rainbow. If a reader can't say what each band means without asking you, relabel until they can.
2. Pick what each row shows (input: items to monitor → output: one row per item with value + range)
   One row per item: a dot or marker for the current value, a bar for the observed range (min–max), and the band background behind both. Sort rows by something meaningful — current value, distance from target, or alphabetical — and say which in the chart note. Rows that show only a single number with no range don't belong here; that's a bar chart's job.
3. Encode status without shouting (input: rows + bands → output: marker colors and callouts for out-of-band items)
   The marker's position already says most of it: inside the band = fine, outside = attention. Use a single accent (a darker marker or a small flag) for out-of-band rows only; everything else stays quiet. If half the chart is flagged, the bands are wrong, not the data — recalibrate the bands before adding more flags.
4. Label directly, keep the legend tiny (input: chart draft → output: labeled chart with axis ticks + unit note)
   Put values next to markers ("24.6°C"), band labels inside the bands, and the unit once in the axis title. Axis ticks: 4–6 evenly spaced numbers, no more. A spectrum chart should be readable in five seconds by someone who has never seen one; if it needs a paragraph of explanation, simplify the chart, not the reader.
5. Check it updates cleanly (input: finished chart → output: chart + update checklist)
   For a monitor chart, the design must survive new data: confirm the axis doesn't need rescaling every update, bands stay fixed unless the definition of "normal" genuinely changed, and out-of-band flags appear automatically from the rule, not by hand-editing. Write the update rule down ("flag when marker leaves the normal band for two consecutive readings") so the next person updates it the same way.

テンプレートのプレビュー

Spectrum Monitor Chart — Template

One metric, one axis, one glance. Fill this in before drawing the chart.

Metric

Metric: {e.g. warehouse temperature, server response time, unit price} Unit: {e.g. °C, ms, $} Source + period: {where the numbers come from, e.g. sensor log, this week}

Axis + bands

Axis min: {real data extreme − small margin} Axis max: {real data extreme + small margin} Axis title: {metric + unit, e.g. "Warehouse temperature (°C)"}

Band source: {who defined "normal" — e.g. published spec, team agreement, regulation}

Rows (one per item)

Row sort order: {by current value / by distance from target / alphabetical}

Labels

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