019 / RECHARTS / BAR & COLUMN

Signal Bars

Recharts

Canonical zero-anchored bars for discrete categorical comparison with stable ordering, grouped series, and category-centric inspection.

SPEC
#019
ENGINE
Recharts
FAMILY
Bar & Column
RENDERER
svg
STATUS
preview

Installation

PLOTCN/REGISTRY/BAR-SIGNAL/SOURCE
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Overview

Signal Bars is Plotcn's canonical vertical bar chart for comparing discrete categories. It establishes the foundational analytical contract of the Bar family: bar length encodes quantitative magnitude from a truthful zero baseline, caller category order is preserved without automatic ranking, zero is a valid observation, missing data is not zero, and interaction resolves discrete category bands with forgiving touch targets.

The primary analytical question answered by Signal Bars is:

“How do these discrete categories compare on the same quantitative measure?”

Examples include:

  • requests by region;
  • revenue by product tier;
  • tickets by priority;
  • latency by microservice;
  • incidents by category;
  • tasks completed by engineering squad.
TSX
import { SignalBars } from "@/components/charts/recharts/bar-signal"const regionalTrafficData = [  { region: "North", web: 128400, mobile: 94200 },  { region: "South", web: 103800, mobile: 121300 },  { region: "East", web: 87400, mobile: 69800 },  { region: "West", web: 145100, mobile: 110600 },  { region: "Central", web: 76200, mobile: 81900 },]export function RegionalComparison() {  return (    <SignalBars      data={regionalTrafficData}      categoryKey="region"      series={[        { key: "web", label: "Web", color: "var(--chart-1)" },        { key: "mobile", label: "Mobile", color: "var(--chart-2)" },      ]}      maxBarSize={48}      showGrid    />  )}

Bar-Family Positioning

The Bar family specializes in discrete categorical comparison. Unlike continuous Line or Area charts which track movement across an ordered or temporal domain, Signal Bars treats each category as an independent discrete record:

Consideration Signal Line (001) Prism Area (011) Interactive Area (018) Signal Bars (019)
ConsiderationSignal Line (001)Prism Area (011)Interactive Area (018)Signal Bars (019)
Domain TypeContinuous time-seriesContinuous time-seriesContinuous time-seriesDiscrete categorical records
Primary Question"How is this metric trending over time?""What is the accumulated volume over time?""What exact observation occurred at X?""How do these discrete categories compare?"
Geometric Encoding1 continuous polyline stroke1 filled area polygon1 filled area + crosshair + markerDiscrete rectangles rising from zero baseline
Baseline RequirementZero optional (trend-focused)Zero recommended (magnitude)Zero recommendedZero mandatory (length encodes magnitude)
Ordering SemanticsStrictly chronological (Xi<Xi+1X_{i} < X_{i+1})Strictly chronologicalStrictly chronologicalCaller-preserved category order (no sorting)
Interaction TargetNearest-X time coordinatePointer hover positionNearest-X snapping + observation lockCategory band hit region (44px+)

Grouped Bars vs. Stacked Bars

Signal Bars V1 intentionally excludes stackMode. Grouped bars and stacked bars answer two fundamentally distinct analytical questions:

  • Grouped Bars (Signal Bars): Answer "How do peer measures compare within and across categories?" All bars originate from the exact same common zero baseline, enabling direct visual length comparison.
  • Stacked Bars (Dedicated Stacked Bar Component): Answer "How is a category total composed from additive parts?" Bars are stacked on top of one another, sacrificing baseline alignment for secondary segments in order to communicate whole-part composition.

Bar Magnitude Model

Governing Principle: Bar length communicates quantitative magnitude from a common baseline. Zero is therefore part of the analytical contract, not merely an axis styling choice.

In a bar chart, the visual ratio between any two bars AA and BB is geometrically determined by their lengths relative to the baseline B0B_0:

Visual Ratio=Length(B)Length(A)=VBB0VAB0\text{Visual Ratio} = \frac{\text{Length}(B)}{\text{Length}(A)} = \frac{V_B - B_0}{V_A - B_0}

When B0=0B_0 = 0:

Length(B)Length(A)=VBVA\frac{\text{Length}(B)}{\text{Length}(A)} = \frac{V_B}{V_A}

The visual ratio of the physical rectangles matches the true mathematical ratio of the data. Truncating the quantitative baseline (B0>0B_0 > 0) causes severe geometric distortion, exaggerating minor differences into misleading visual leaps:

ANALYTICAL BASELINETruthful Ratio Encoding

Bar Magnitude Model: Zero Baseline vs. Truncated Axis

Zero-Anchored (Truthful)
Truncated Baseline (Distorted)

Comparison diagram illustrating why bar charts require a common zero baseline. On the left, bars start at zero, correctly representing 80 as twice the magnitude of 40. On the right, a truncated baseline starting at 35 distorts visual ratios, making 80 appear nine times taller than 40.

Zero Baseline (Canonical SignalBars)Bar length directly proportional to quantitative value80400BASELINE40Region A80Region BVisual ratio: 2.0x = Real ratio 2.0xTruncated Baseline (Disallowed)Baseline cut off at 35 visually exaggerates differences804035TRUNCATED40Region A80Region BVisual ratio: 9.0x vs. Real ratio 2.0x

Because of this geometric requirement:

  • Signal Bars enforces includeZero = true canonically.
  • The quantitative axis domain automatically encloses $0$ and all finite visible data points: [min(0,minVal),max(0,maxVal)][ \min(0, \text{minVal}), \max(0, \text{maxVal}) ].
  • Truncating the baseline is intentionally disallowed in V1.

Category Model & Order Invariance

In Plotcn, category order is data:

[North,South,East,West]    Rendered: NorthSouthEastWest[\text{North}, \text{South}, \text{East}, \text{West}] \implies \text{Rendered: } \text{North} \to \text{South} \to \text{East} \to \text{West}

The component strictly preserves the caller's input order:

  1. No Automatic Ranking: Signal Bars never rearranges categories from largest to smallest. Ranking semantics belong to a dedicated ranked-bar component where sorting is explicitly requested.
  2. No Alphabetical Sorting: Categorical records are rendered in the order provided by the consumer application (e.g. geographical sequence, workflow priority, funnel order).
  3. Deterministic Duplicate Handling: If duplicate category labels exist in caller data, Signal Bars preserves every record deterministically using internal index keys without silently aggregating, summing, or averaging values. A development-time console warning alerts developers to ambiguous category keys.

Category Band & Touch Hit Regions

A common usability failure in bar charts is making the interaction target match only the narrow visible rectangle. When a chart displays 16 categories on a mobile viewport, a bar might measure only 10px or 14px in width—far smaller than the 44px minimum required for reliable touch activation:

HIT-TESTING ARCHITECTUREGeometry vs. Target

Category Band & Expanded Touch Hit Region

Visible Rectangle (14px)
Active Band Target (44px+)

Diagram showing how a category band provides a 44px or wider touch/pointer target even when the visible bar rectangle is narrow, allowing effortless inspection without missing the target or blocking vertical scrolling.

0BAND 1 (150px)128kNorthACTIVE CATEGORY BAND104kSouthPointer / TapHits band, not just barBAND 3 (150px)87kEastBAND 4 (150px)145kWestTouch targets use forgiving category bands (44px+) • Preserves vertical page scroll

Signal Bars solves this through Category Band Hit Testing:

  • The interaction target is the entire categorical band enclosing the bar group.
  • Pointer movement or touch anywhere within a category's horizontal slice immediately resolves that category.
  • Mobile vertical scrolling remains completely unobstructed (touch-action: pan-y), preventing touch-trapping common with naive canvas charts.
  • Hover never alters bar geometry (no hover growth, no Y-translation, no bouncing). Hover and focus emphasize data; they never distort it.

Grouped Peer Series Contract

Signal Bars supports one or more peer numeric series sharing the same categorical domain:

TSX
<SignalBars  data={data}  categoryKey="region"  series={[    { key: "web", label: "Web", color: "var(--chart-1)" },    { key: "mobile", label: "Mobile", color: "var(--chart-2)" },    { key: "desktop", label: "Desktop", color: "var(--chart-3)" },  ]}/>
GROUPED PEER CONTRACTStable Ordering & Scale

Grouped Peer Series: Stable Order & Shared Scale

Series 1: Web
Series 2: Mobile

Diagram showing grouped peer series within discrete categories. Series order remains fixed across categories without dynamic reordering by value, and all series share the exact same quantitative scale.

0Order: Web → Mobile128k94kNorthOrder: Web → Mobile104k121kSouthMobile > Web: No SortingOrder: Web → Mobile87k70kEastNever reordered by value • Shared quantitative Y scale • Additive composition uses StackFlow

Key Invariants for Grouped Series:

  1. Shared Scale & Unit: Peer series must represent the same quantitative unit (e.g. requests, users, dollars, latency) and share the exact same quantitative scale. No dual Y-axes exist in canonical Signal Bars.
  2. Stable Series Ordering: Within every category band, peer bars follow the exact order declared in the series configuration array (Web \to Mobile \to Desktop). Bars are never sorted by value inside individual category groups.
  3. Stable Theme Colors: Default series colors map deterministically from Plotcn theme tokens (--chart-1, --chart-2, --chart-3, ...). Toggling a series in the legend never reassigns the colors of remaining series.

Signed Zero-Baseline Model

Signal Bars provides native support for signed datasets containing positive and negative values:

Vi0    Bar extends upward toward +YV_i \ge 0 \implies \text{Bar extends upward toward } +Y
Vi<0    Bar extends downward toward YV_i < 0 \implies \text{Bar extends downward toward } -Y
SIGNED QUANTITATIVE EXTENSIONBi-directional Baseline

Signed Values: Common Baseline & Grounded Geometry

Positive (+Y)
Negative (-Y)

Illustration of signed bar growth. Positive bars extend upward from the zero baseline, and negative bars extend downward from the same baseline. Outer corners are subtly rounded, but the zero-facing edge remains flat and grounded.

+Y (GROWTH)-Y (CONTRACTION)0ZERO BASELINE +42%NorthRound top -18%SouthRound bottom+27%East-31%WestZero-facing baseline edges remain flat • Never take absolute value • Preserve signed direction

Signed Geometry Rules:

  • Common Baseline: Positive and negative bars extend in opposite directions from the exact same central zero reference line.
  • No Absolute Value Conversion: Negative values are never clamped to zero or converted to absolute values.
  • Asymmetric Corner Radii: Outer positive ends receive subtle rounding ([4, 4, 0, 0]), and outer negative ends receive subtle rounding ([0, 0, 4, 4]). Zero-facing baseline edges remain completely flat and grounded, preventing visual detachment from the baseline.

Missing Values vs. Measured Zero

Signal Bars enforces a strict distinction between measured zero and unavailable data:

V=0(Measured Zero)V=null(Unavailable / Missing)V = 0 \quad (\text{Measured Zero}) \quad \neq \quad V = \text{null} \quad (\text{Unavailable / Missing})
  • Measured Zero ($0$): Represents a known observation that measured zero units. It renders at the zero baseline, and tooltips, screen readers, and data tables announce it explicitly as 0.
  • Missing (nullnull / undefinedundefined): Indicates unavailable data. It renders no quantitative rectangle whatsoever. Tooltips display Unavailable or , and accessible tables report Unavailable.
  • Data Sanitization: Any non-finite values (NaNNaN, ±\pm\infty) are safely neutralized to nullnull before reaching SVG generation, preventing height="NaN" or y="Infinity" console errors.

Keyboard Navigation & Traversal

Signal Bars provides an orientation-aware keyboard exploration model with a single chart tab stop:

Key Vertical Bars (`orientation="vertical"`) Horizontal Bars (`orientation="horizontal"`)
KeyVertical Bars (orientation="vertical")Horizontal Bars (orientation="horizontal")
ArrowLeftMove to previous category
ArrowRightMove to next category
ArrowUpMove to previous category
ArrowDownMove to next category
HomeJump to first categoryJump to first category
EndJump to last categoryJump to last category
EscapeClear active category inspectionClear active category inspection

Focus states use the canonical --chart-focus ring on the chart container. Active category changes trigger polite live-region announcements ("North. Category 1 of 5. Web: 128k, Mobile: 94k") without spamming users during pointer hovering.

Rendering Pipeline & Architecture

Signal Bars maintains an idiomatic Recharts SVG architecture rather than introducing heavy chart abstraction layers:

SYSTEM ARCHITECTUREData to SVG Pipeline

SignalBars Rendering Pipeline & Interaction Flow

Idiomatic Recharts SVG

Architecture diagram showing data normalization, band and quantitative domain computation, Recharts BarChart composition, and category-centric event routing to tooltip, highlight, and accessible live regions.

DCaller Datareadonly TData[]Preserves orderNo auto-rankingNormalization• Missing stays null• Sanitizes NaN/Inf• Zero is valid 0• Warns on dupesImmutable recordsScale ResolutionBand Scale:Discrete categoriesQuantitative Scale:Anchored at zero [0, max]Signed [min, max]Recharts SVG Renderer<BarChart layout="horizontal"> <XAxis dataKey="__category" /> <YAxis domain="[0, max]" /> <ReferenceLine y="0" /> <Bar radius="[4,4,0,0]" />Category Interaction BandPointer hover / touch tap (44px+)Arrow keys category traversalActive Category Resolved:activeCategoryIndexSynchronized Presentation• Tooltip: all peer series• Band highlight: subtle tint• Live region: polite announcement• Structured data: <table> alternative

The rendering flow:

  1. Raw Categorical Records: Received as readonly TData[] without caller mutation.
  2. Deterministic Normalization: Identifies missing values, guards against non-finite values, and ensures stable internal index keys.
  3. Scale Resolution: Sets up discrete band scale for categories and quantitative domain anchored at zero [min(0,minVal),max(0,maxVal)][ \min(0, \text{minVal}), \max(0, \text{maxVal}) ].
  4. Recharts Composition: Renders native SVG <BarChart>, <XAxis>, <YAxis>, <ReferenceLine y={0}>, and individual <Bar> elements.
  5. Synchronized Output: Category band hit testing feeds active category state to synchronized multi-series tooltips, band tint highlights, accessible live regions, and off-screen structured tables.

Value Labels Policy

Signal Bars supports an optional valueLabel configuration ("none" | "auto" | "always"):

  • "none" (default): Cleanest categorical presentation without inline clutter.
  • "auto": Renders formatted values near the outer end of each bar when category density and bar width provide sufficient clearance.
  • "always": Always displays value labels.
  • Zero & Missing Safeguards: Missing values never display a value label; zero values render 0 without manufacturing a fake bar.
03 / Component API & Styling

Props Reference & Interactive Prop Explorer

Inspect every component property, customize semantic color roles live with instant visual feedback, and copy production-ready code with active prop configurations.

Colors & Appearance Configuration

Customize primary, reference, or annotation series colors. Defaults derive from Plotcn theme tokens.

Generated Usage Code (Live Props):
<SignalBars
  data={data}
  categoryKey="region"
  series={[
    { key: "web", label: "Web" },
    { key: "mobile", label: "Mobile" },
  ]}
/>
Interactive Prop Preview Lab
orientation"vertical" | "horizontal"

Bar direction: "vertical" puts categories on horizontal X-axis; "horizontal" puts categories on vertical Y-axis.

Select value to preview live:
Active: orientation="vertical"Default: "vertical"
maxBarSizenumber

Maximum bar thickness in pixels to prevent grotesque bar expansion when only 2-3 categories exist.

Select value to preview live:
Active: maxBarSize={48}Default: 48
barGapnumber

Pixel spacing between peer series bars within the same category group.

Select value to preview live:
Active: barGap={4}Default: 4
groupGapnumber

Spacing between distinct category groups along the categorical axis.

Select value to preview live:
Active: groupGap={16}Default: 16
valueLabel"none" | "auto" | "always"

Inline numeric value label policy. Auto displays labels when space permits without collision.

Select value to preview live:
Active: valueLabel="none"Default: "none"
showGridboolean

Whether to render subtle reference grid lines perpendicular to the quantitative axis.

Select value to preview live:
Active: showGrid={true}Default: true
showXAxisboolean

Whether to render the horizontal scale ticks and axis line.

Select value to preview live:
Active: showXAxis={true}Default: true
showYAxisboolean

Whether to render the vertical scale ticks and axis line.

Select value to preview live:
Active: showYAxis={true}Default: true
showLegendboolean

Whether to render the series legend. Automatically enabled for multi-series grouped charts.

Select value to preview live:
Active: showLegend={false}Default: series.length > 1
interactiveLegendboolean

Whether clicking legend items toggles individual series visibility with stable color assignment.

Select value to preview live:
Active: interactiveLegend={true}Default: true
cursorMode"category" | "bar"

Interaction hit-testing target: category band (forgiving 44px) or individual bar rectangle.

Select value to preview live:
Active: cursorMode="category"Default: "category"
tooltipMode"category" | "bar"

Tooltip composition: category shows all peer series together; bar shows only the hovered metric.

Select value to preview live:
Active: tooltipMode="category"Default: "category"
All Properties (20)
Component properties
PropertyTypeDefaultRequiredDescription
dataReq
readonly TData[][]Yes

Readonly array of categorical records. Caller data is never mutated or reordered.

keyof TData & stringYes

Property name on data records representing the discrete category domain.

readonly SignalBarSeries<TData>[]Yes

Array of peer numeric series sharing the same quantitative unit, domain, and scale.

"vertical" | "horizontal""vertical"No

Bar direction: "vertical" puts categories on horizontal X-axis; "horizontal" puts categories on vertical Y-axis.

number | string320No

Container height in pixels or CSS dimension string.

number48No

Maximum bar thickness in pixels to prevent grotesque bar expansion when only 2-3 categories exist.

number4No

Pixel spacing between peer series bars within the same category group.

number16No

Spacing between distinct category groups along the categorical axis.

"none" | "auto" | "always""none"No

Inline numeric value label policy. Auto displays labels when space permits without collision.

booleantrueNo

Whether to render subtle reference grid lines perpendicular to the quantitative axis.

booleantrueNo

Whether to render the horizontal scale ticks and axis line.

booleantrueNo

Whether to render the vertical scale ticks and axis line.

booleanseries.length > 1No

Whether to render the series legend. Automatically enabled for multi-series grouped charts.

booleantrueNo

Whether clicking legend items toggles individual series visibility with stable color assignment.

"category" | "bar""category"No

Interaction hit-testing target: category band (forgiving 44px) or individual bar rectangle.

"category" | "bar""category"No

Tooltip composition: category shows all peer series together; bar shows only the hovered metric.

boolean | { duration?: number }trueNo

Animation toggle or configuration. Automatically disabled when prefers-reduced-motion is detected.

(category: string | number) => stringNo

Custom formatter function for axis ticks and tooltip category labels.

(value: number) => stringNo

Global numeric formatter function for quantitative values across tooltips and value labels.

(active: ActiveCategoryDatum<TData> | null) => voidNo

Callback invoked whenever the active inspected category changes via pointer, touch, or keyboard.

04 / Cookbook & States

Component Variants & Edge States

Production cookbooks showcasing configuration variants alongside verified handling of loading, empty data, and network error states.

Requests by Region (Grouped Peer Series)

Canonical multi-series grouped bar chart comparing Web and Mobile traffic across five geographic regions with stable series ordering and shared quantitative scale.

<SignalBars
  data={data}
  categoryKey="region"
  series={[
    { key: "web", label: "Web", color: "var(--chart-1)" },
    { key: "mobile", label: "Mobile", color: "var(--chart-2)" },
  ]}
  maxBarSize={48}
  showGrid
/>

Support Tickets by Priority (Single Series)

Canonical single-series categorical comparison demonstrating truthful zero-anchored magnitude across priority tiers.

<SignalBars
  data={data}
  categoryKey="priority"
  series={[
    {
      key: "count",
      label: "Tickets",
      color: "var(--chart-1)",
    },
  ]}
  maxBarSize={56}
  showGrid
/>

Net Operating Growth (Signed Values)

Bi-directional bars extending from a common zero baseline, demonstrating positive growth and negative contraction without absolute-value distortion.

<SignalBars
  data={data}
  categoryKey="region"
  series={[
    {
      key: "netChange",
      label: "Net Growth",
      color: "var(--chart-1)",
    },
  ]}
  maxBarSize={44}
  showGrid
/>

Enterprise Teams (Horizontal Orientation)

Horizontal bar orientation providing ample layout width for lengthy categorical labels without cramped diagonal typography.

<SignalBars
  data={data}
  categoryKey="team"
  orientation="horizontal"
  series={[
    {
      key: "incidents",
      label: "Resolved Incidents",
      color: "var(--chart-1)",
    },
  ]}
  height={280}
  maxBarSize={32}
  showGrid
/>
Lifecycle & Exception States
01. Loading State

Skeletons indicate runtime fetch or pending data queries.

02. Empty Data State

Handles empty collections ([]) gracefully without crashing.

03. Error State

Graceful failure banner when data source or script fails.

05 / Responsive Lab

Container-Driven Breakpoints

Signal Bars preserves all categorical records, zero-anchored geometry, and category band interaction across all screen widths down to 320px, thinning axis tick labels while never dropping underlying data bars.

Desktop
>= 1024px

Full category tick density, multi-series legend, spacious category bands, and complete keyboard traversal.

Tablet
640px - 1023px

Adaptive category tick reduction, compact margins, and preserved 44px touch hit regions.

Mobile
< 640px

Compact gutters, thinned ticks, 44px touch targets, pan-y scroll preservation, and multi-series wrapped legend.

Tablet Preview (768px Container Constraint)
Mobile Preview (390px Container Constraint)
06 / Assistive Technology

Accessibility & Navigation Standards

Single keyboard tab stop on root figure with orientation-aware arrow navigation (Left/Right for vertical, Up/Down for horizontal), Home/End traversal, and full off-screen structured HTML table for screen readers.

Semantic Role & Landmark

Container mounts as region with explicit assistive label.

Color-Independent Legibility

Grouped bar positions, distinct legend labels, tabular numbers, and full off-screen structured HTML table ensure non-color accessibility.

Screen Reader Summary

Embeds visually hidden summary (.sr-only) declaring: “Announces category name, index position, total categories, and all peer series measurements factually without editorializing.

Reduced Motion Support

All entrance animations are bypassed immediately when prefers-reduced-motion is detected in system preferences.

Keyboard Interaction Model
Keyboard interaction model
KeyAction
ArrowRight / ArrowDownInspect next category across the discrete domain.
ArrowLeft / ArrowUpInspect previous category across the discrete domain.
HomeJump inspection directly to the first category.
EndJump inspection directly to the last category.
EscapeClear active category inspection.

Data Safety Guarantees

Signal Bars enforces sixteen strict data safety invariants:

  • Caller category order is strictly preserved
  • Values are never automatically ranked or sorted
  • Duplicate categories are never silently aggregated
  • Zero is a real quantitative value
  • Missing data is not coerced to zero
  • Negative values preserve their true mathematical sign
  • Non-finite numbers (NaNNaN, ±\pm\infty) never reach SVG geometry
  • Ordinary bar magnitude remains zero-anchored
  • Grouped series share one compatible quantitative scale
  • Series ordering is stable across all categories
  • Series colors are stable across visibility toggles
  • Hiding a series never reassigns another series' color
  • Responsive tick reduction never removes underlying categories
  • Keyboard navigation reaches unticked categories
  • Touch targets exceed visible rectangle widths
  • Hover never changes bar length, width, or position

Props Reference

Property Type Default Required Description
PropertyTypeDefaultRequiredDescription
datareadonly TData[][]YesReadonly array of categorical records.
categoryKeykeyof TData & stringYesProperty key identifying discrete categories.
seriesreadonly SignalBarSeries<TData>[]YesOne or more peer numeric series sharing scale.
orientation"vertical" | "horizontal""vertical"OptionalBar direction: vertical (categories on X) or horizontal (categories on Y).
heightnumber | string320OptionalContainer height in pixels or CSS dimension.
maxBarSizenumber48OptionalMaximum bar thickness in pixels to prevent grotesque wide bars.
barGapnumber4OptionalPixel space between peer bars in a category group.
groupGapnumber16OptionalSpacing between distinct category groups.
valueLabel"none" | "auto" | "always""none"OptionalInline numeric value label rendering policy.
showGridbooleantrueOptionalWhether to render subtle reference grid lines.
showXAxisbooleantrueOptionalWhether to render the horizontal axis line and ticks.
showYAxisbooleantrueOptionalWhether to render the vertical axis line and ticks.
showLegendbooleanseries.length > 1OptionalWhether to render series legend.
interactiveLegendbooleantrueOptionalWhether legend allows toggling series visibility.
cursorMode"category" | "bar""category"OptionalHit testing target: category band or individual bar.
tooltipMode"category" | "bar""category"OptionalTooltip composition: peer series together or single measure.
motionboolean | { duration?: number }trueOptionalAnimation toggle or configuration. Respects reduced motion.
categoryFormatter(category: string | number) => stringOptionalCustom category label formatter function.
valueFormatter(value: number) => stringOptionalGlobal numeric formatter fallback.
onActiveChange(active: ActiveCategoryDatum<TData> | null) => voidOptionalCallback invoked on active category inspection change.
  • Interactive Area (018): Inspection-specialized continuous time-series area chart with nearest-X scrubbing and persistent locking.
  • Prism Area (011): Continuous volume area chart with translucent magnitude fill.
  • Signal Line (001): Single-series continuous trend line chart with restrained active-point emphasis.
07 / Source Anatomy

Internal Architecture & File Dependencies

Source-first ownership model. Inspect the exact component call tree, dependencies, and full implementation below.

Component Architecture Call Tree
SignalBars(Root figure element with keyboard navigation and ARIA accessibility shell)
├──ResponsiveContainer[Responsive container wrapper]

Handles container dimension measurement and SVG viewBox sizing

└──BarChart[Recharts Cartesian SVG coordinator]

Coordinates scales, Cartesian grid, Bar geometry, zero baseline ReferenceLine, and Tooltip

Involved Source Files & Registry Assets
registry/recharts/bar-signal.tsx
Complete Signal Bars component for discrete categorical comparison with grouped peer series and category band inspection
registry/recharts/bar-signal.tsx
"use client"import * as React from "react"import {  ResponsiveContainer,  BarChart,  Bar,  XAxis,  YAxis,  Tooltip,  CartesianGrid,  ReferenceLine,  LabelList,} from "recharts"import { useChartReducedMotion } from "../shared/use-chart-reduced-motion"import { ChartContainer } from "../shared/chart-container"import {  ChartEmptyState,  ChartErrorState,  ChartUnavailableState,} from "../shared/chart-state"import { cn } from "@/lib/utils"/* -------------------------------------------------------------------------- *//*  Type Definitions                                                          *//* -------------------------------------------------------------------------- */export type NumericKeyOf<TData> = [keyof TData] extends [never]  ? string  : {      [K in keyof TData]: TData[K] extends number | null | undefined ? K : never    }[keyof TData] extends never  ? string  : {      [K in keyof TData]: TData[K] extends number | null | undefined ? K : never    }[keyof TData] & stringexport type SignalBarOrientation = "vertical" | "horizontal"/** * Peer numeric series definition for SignalBars. * All peer series must share the same quantitative unit, domain, and Y/X scale. */export interface SignalBarSeries<TData extends Record<string, unknown> = Record<string, unknown>> {  /** Property key on observation records containing finite numeric values */  key: NumericKeyOf<TData>  /** Human-readable display label for tooltips, legend, and screen readers */  label: string  /** Per-series color override (defaults to Plotcn theme tokens: var(--chart-1), var(--chart-2), etc.) */  color?: string  /** Optional custom numeric formatter for tooltip and value labels */  valueFormatter?: (value: number) => string}/** * Represents an inspected category with its resolved peer series measurements. */export interface ActiveCategoryDatum<TData extends Record<string, unknown> = Record<string, unknown>> {  /** 0-based index of the category within caller-preserved order */  index: number  /** Discrete category label or value */  category: string | number  /** Original raw datum provided by caller */  raw: TData  /** Per-series measured values (null represents unavailable/missing) */  values: Record<string, number | null>}export interface SignalBarsProps<TData extends Record<string, unknown> = Record<string, unknown>> {  /** Readonly array of categorical records. Category order is data and preserved strictly. */  data: readonly TData[]  /** Property key defining the discrete category domain */  categoryKey: keyof TData & string  /** Array of one or more peer numeric series sharing the same quantitative unit and scale */  series: readonly SignalBarSeries<TData>[]  /**   * Bar orientation:   * - "vertical": Categories on horizontal X-axis, quantitative bars rise/fall along vertical Y-axis (default).   * - "horizontal": Categories on vertical Y-axis, quantitative bars extend along horizontal X-axis.   */  orientation?: SignalBarOrientation  /** Chart container height in pixels or CSS string. (default: 320) */  height?: number | string  /** Maximum width/thickness for individual bars in pixels to prevent distortion on sparse data. (default: 48) */  maxBarSize?: number  /** Space between peer series bars within the same category group in pixels. (default: 4) */  barGap?: number  /** Space between category groups in pixels. (default: 16) */  groupGap?: number  /**   * Value label rendering policy:   * - "none": No inline numeric labels (default).   * - "auto": Render values when space permits without collision.   * - "always": Render formatted values near outer bar edge.   */  valueLabel?: "none" | "auto" | "always"  /** Whether to render subtle reference grid lines. (default: true) */  showGrid?: boolean  /** Whether to render the category axis ticks and line. (default: true) */  showXAxis?: boolean  /** Whether to render the quantitative axis ticks and line. (default: true) */  showYAxis?: boolean  /** Whether to render the series legend. Defaults to true when series.length > 1. */  showLegend?: boolean  /** Whether the legend allows clicking series to toggle visibility. (default: true) */  interactiveLegend?: boolean  /**   * Pointer interaction hit-testing model:   * - "category": Entire category band is the forgiving interaction target (default).   * - "bar": Individual bar rectangle is the target.   */  cursorMode?: "category" | "bar"  /**   * Tooltip composition model:   * - "category": Displays all visible peer series together in canonical order (default).   * - "bar": Displays only the hovered measure.   */  tooltipMode?: "category" | "bar"  /** Motion animation toggle or configuration. Respects prefers-reduced-motion. */  motion?: boolean | { duration?: number }  /** Optional custom category label formatter for axes and tooltips */  categoryFormatter?: (category: string | number) => string  /** Optional global value formatter fallback */  valueFormatter?: (value: number) => string  /** Callback fired when the active inspected category changes */  onActiveChange?: (active: ActiveCategoryDatum<TData> | null) => void  /** Optional additional CSS class for root wrapper */  className?: string}/* -------------------------------------------------------------------------- *//*  Algorithmic Helpers: Pure & Deterministic                                 *//* -------------------------------------------------------------------------- */const DEFAULT_SERIES_TOKENS = [  "var(--chart-1, #3b82f6)",  "var(--chart-2, #10b981)",  "var(--chart-3, #8b5cf6)",  "var(--chart-4, #f59e0b)",  "var(--chart-5, #ef4444)",  "var(--chart-6, #6366f1)",  "var(--chart-7, #14b8a6)",  "var(--chart-8, #f97316)",]export function isFiniteNumber(val: unknown): val is number {  return typeof val === "number" && Number.isFinite(val)}/** * Normalized internal category record with stable index identity and clean numeric series. */export interface NormalizedSignalBarRecord<TData extends Record<string, unknown>> {  __index: number  __category: string | number  __raw: TData  [seriesKey: string]: unknown}/** * Normalizes input data into safe records for Recharts. * - Preserves caller category order. * - Leaves missing values as null (never converts to 0). * - Sanitizes NaN / Infinity to null so invalid SVG geometry is never emitted. * - Retains original raw reference for non-visual table and callbacks. */export function normalizeSignalBarData<TData extends Record<string, unknown>>(  data: readonly TData[],  categoryKey: keyof TData & string,  series: readonly SignalBarSeries<TData>[]): {  records: NormalizedSignalBarRecord<TData>[]  hasAnyValidMeasure: boolean  hasDuplicates: boolean} {  const seenCategories = new Set<string | number>()  let hasDuplicates = false  let hasAnyValidMeasure = false  const records: NormalizedSignalBarRecord<TData>[] = []  for (let i = 0; i < data.length; i++) {    const raw = data[i]    const cat = (raw[categoryKey] as string | number) ?? `Category ${i + 1}`    if (seenCategories.has(cat)) {      hasDuplicates = true    } else {      seenCategories.add(cat)    }    const rec: NormalizedSignalBarRecord<TData> = {      __index: i,      __category: cat,      __raw: raw,    }    for (let s = 0; s < series.length; s++) {      const sKey = series[s].key as string      const rawVal = raw[sKey]      if (isFiniteNumber(rawVal)) {        rec[sKey] = rawVal        hasAnyValidMeasure = true      } else {        rec[sKey] = null      }    }    records.push(rec)  }  return { records, hasAnyValidMeasure, hasDuplicates }}/** * Calculates a truthful quantitative domain enclosing 0 and all visible finite values. * - Positive data: [0, max + padding] * - Negative data: [min - padding, 0] * - Mixed data: [min - padding, max + padding] * - All zero / empty: safe [0, 10] */export function calculateSignalBarDomain<TData extends Record<string, unknown>>(  records: readonly NormalizedSignalBarRecord<TData>[],  visibleSeriesKeys: readonly string[]): [number, number] {  let min = 0  let max = 0  let hasFinite = false  for (let i = 0; i < records.length; i++) {    const rec = records[i]    for (let s = 0; s < visibleSeriesKeys.length; s++) {      const val = rec[visibleSeriesKeys[s]]      if (isFiniteNumber(val)) {        hasFinite = true        if (val < min) min = val        if (val > max) max = val      }    }  }  if (!hasFinite) {    return [0, 10]  }  // All zero  if (min === 0 && max === 0) {    return [0, 10]  }  // All positive  if (min >= 0) {    const pad = max === 0 ? 1 : max * 0.08    return [0, Math.ceil(max + pad)]  }  // All negative  if (max <= 0) {    const pad = Math.abs(min) * 0.08    return [Math.floor(min - pad), 0]  }  // Mixed signed  const padMin = Math.abs(min) * 0.06  const padMax = max * 0.06  return [Math.floor(min - padMin), Math.ceil(max + padMax)]}/* -------------------------------------------------------------------------- *//*  Component: SignalBars                                                     *//* -------------------------------------------------------------------------- */export function SignalBars<TData extends Record<string, unknown> = Record<string, unknown>>({  data,  categoryKey,  series,  orientation = "vertical",  height = 320,  maxBarSize = 48,  barGap = 4,  groupGap = 16,  valueLabel = "none",  showGrid = true,  showXAxis = true,  showYAxis = true,  showLegend,  interactiveLegend = true,  cursorMode = "category",  tooltipMode = "category",  motion = true,  categoryFormatter,  valueFormatter: globalValueFormatter,  onActiveChange,  className,}: SignalBarsProps<TData>) {  const reducedMotion = useChartReducedMotion()  const instanceId = React.useId()  // 1. Validate configuration  if (!series || series.length === 0) {    return (      <div style={{ height }} className={cn("w-full", className)}>        <ChartErrorState          title="No Series Defined"          description="SignalBars requires at least one quantitative peer series in its series configuration."        />      </div>    )  }  if (!categoryKey) {    return (      <div style={{ height }} className={cn("w-full", className)}>        <ChartErrorState          title="Missing Category Key"          description="A valid categoryKey is required to identify discrete categorical records."        />      </div>    )  }  // 2. Normalize and validate data  const { records, hasAnyValidMeasure, hasDuplicates } = React.useMemo(() => {    return normalizeSignalBarData(data, categoryKey, series)  }, [data, categoryKey, series])  React.useEffect(() => {    if (process.env.NODE_ENV !== "production" && hasDuplicates) {      console.warn(        `[Plotcn SignalBars] Duplicate category keys detected in dataset for key "${categoryKey}". ` +          "Categorical order and distinct records are preserved without silent aggregation, but unique labels are recommended for clear inspection."      )    }  }, [hasDuplicates, categoryKey])  // 3. Interactive series visibility state  const [hiddenSeriesKeys, setHiddenSeriesKeys] = React.useState<Set<string>>(() => new Set())  const visibleSeries = React.useMemo(() => {    return series.filter((s) => !hiddenSeriesKeys.has(s.key as string))  }, [series, hiddenSeriesKeys])  const visibleSeriesKeys = React.useMemo(() => {    return visibleSeries.map((s) => s.key as string)  }, [visibleSeries])  // Stable series color mapping: hiding a series never reassigns remaining colors  const seriesColorMap = React.useMemo(() => {    const map = new Map<string, string>()    series.forEach((s, idx) => {      map.set(s.key as string, s.color || DEFAULT_SERIES_TOKENS[idx % DEFAULT_SERIES_TOKENS.length])    })    return map  }, [series])  // 4. Domain calculation  const quantitativeDomain = React.useMemo(() => {    return calculateSignalBarDomain(records, visibleSeriesKeys)  }, [records, visibleSeriesKeys])  // 5. Active inspection state  const [activeIndex, setActiveIndex] = React.useState<number | null>(null)  const [isFocused, setIsFocused] = React.useState(false)  const [activeSeriesKey, setActiveSeriesKey] = React.useState<string | null>(null)  const activeDatum = React.useMemo<ActiveCategoryDatum<TData> | null>(() => {    if (activeIndex === null || activeIndex < 0 || activeIndex >= records.length) {      return null    }    const rec = records[activeIndex]    const values: Record<string, number | null> = {}    for (let s = 0; s < series.length; s++) {      const sKey = series[s].key as string      values[sKey] = (rec[sKey] as number | null) ?? null    }    return {      index: activeIndex,      category: rec.__category,      raw: rec.__raw,      values,    }  }, [activeIndex, records, series])  React.useEffect(() => {    onActiveChange?.(activeDatum)  }, [activeDatum, onActiveChange])  // 6. Keyboard navigation handlers  const handleKeyDown = (e: React.KeyboardEvent<HTMLElement>) => {    if (records.length === 0) return    const isVertical = orientation === "vertical"    const prevKey = isVertical ? "ArrowLeft" : "ArrowUp"    const nextKey = isVertical ? "ArrowRight" : "ArrowDown"    if (e.key === prevKey) {      e.preventDefault()      setActiveIndex((prev) => {        if (prev === null || prev <= 0) return records.length - 1        return prev - 1      })    } else if (e.key === nextKey) {      e.preventDefault()      setActiveIndex((prev) => {        if (prev === null || prev >= records.length - 1) return 0        return prev + 1      })    } else if (e.key === "Home") {      e.preventDefault()      setActiveIndex(0)    } else if (e.key === "End") {      e.preventDefault()      setActiveIndex(records.length - 1)    } else if (e.key === "Escape") {      setActiveIndex(null)    }  }  // 7. Motion configuration  const isAnimated = motion !== false && !reducedMotion  const animationDuration =    typeof motion === "object" && motion?.duration !== undefined ? motion.duration * 1000 : 350  // 8. Empty / fallback guards  if (!records.length) {    return (      <div style={{ height }} className={cn("w-full", className)}>        <ChartEmptyState          title="No Categorical Data"          description="The provided dataset does not contain any records to compare."        />      </div>    )  }  if (!hasAnyValidMeasure) {    return (      <div style={{ height }} className={cn("w-full", className)}>        <ChartUnavailableState          title="No Measurable Data"          description="Categorical records are present, but all numeric measures are unrecorded or non-finite."        />      </div>    )  }  // Toggle series visibility  const toggleSeries = (sKey: string) => {    if (!interactiveLegend) return    setHiddenSeriesKeys((prev) => {      const next = new Set(prev)      if (next.has(sKey)) {        next.delete(sKey)      } else {        // Prevent hiding every single series without recovery        if (next.size + 1 >= series.length) {          return prev        }        next.add(sKey)      }      return next    })  }  const showLegendResolved = showLegend ?? series.length > 1  const isVertical = orientation === "vertical"  const rechartsLayout = isVertical ? "horizontal" : "vertical"  // Value formatting helper  const formatValue = (val: number | null | undefined, seriesItem?: SignalBarSeries<TData>): string => {    if (val === null || val === undefined || !Number.isFinite(val)) return "Unavailable"    if (seriesItem?.valueFormatter) return seriesItem.valueFormatter(val)    if (globalValueFormatter) return globalValueFormatter(val)    return val.toLocaleString()  }  const formatCategory = (cat: string | number): string => {    if (categoryFormatter) return categoryFormatter(cat)    return String(cat)  }  // Accessible live announcement  const liveAnnouncement = activeDatum    ? `${formatCategory(activeDatum.category)}. Category ${activeDatum.index + 1} of ${records.length}. ` +      visibleSeries        .map((s) => `${s.label}: ${formatValue(activeDatum.values[s.key as string], s)}`)        .join(", ")    : ""  return (    <figure      role="region"      aria-label={`Signal Bars categorical comparison for ${series.map((s) => s.label).join(", ")}`}      tabIndex={0}      onKeyDown={handleKeyDown}      onFocus={() => {        setIsFocused(true)      }}      onBlur={(e) => {        // Only clear focus if moving completely outside the chart figure        if (!e.currentTarget.contains(e.relatedTarget as Node)) {          setIsFocused(false)          setActiveIndex(null)        }      }}      className={cn(        "plotcn-bar-signal relative flex flex-col w-full outline-none select-none transition-all duration-150 rounded-xl",        isFocused && "ring-2 ring-[var(--chart-focus,#38bdf8)] ring-offset-2 ring-offset-background",        className      )}      style={{        height: typeof height === "number" ? `${height}px` : height,        minHeight: typeof height === "number" ? height : 320,        touchAction: "pan-y",      }}    >      {/* Screen Reader Off-Screen Data Alternative */}      <div className="sr-only">        <div aria-live="polite" aria-atomic="true">          {liveAnnouncement}        </div>        <table>          <caption>            Categorical data table comparing {series.map((s) => s.label).join(", ")} across {records.length} categories.          </caption>          <thead>            <tr>              <th scope="col">{categoryKey}</th>              {series.map((s) => (                <th key={s.key as string} scope="col">                  {s.label}                </th>              ))}            </tr>          </thead>          <tbody>            {records.map((r, i) => (              <tr key={i}>                <th scope="row">{formatCategory(r.__category)}</th>                {series.map((s) => {                  const val = r[s.key as string]                  return (                    <td key={s.key as string}>                      {isFiniteNumber(val) ? formatValue(val, s) : "Unavailable"}                    </td>                  )                })}              </tr>            ))}          </tbody>        </table>      </div>      {/* Main Chart Container */}      <ChartContainer className="w-full flex-1 min-w-0 min-h-0 relative">        <ResponsiveContainer          width="100%"          height="100%"          minWidth={0}          minHeight={0}          initialDimension={{ width: 320, height: typeof height === "number" ? height : 320 }}        >          <BarChart            data={records}            layout={rechartsLayout}            barGap={barGap}            barCategoryGap={groupGap}            margin={              isVertical                ? { top: 12, right: 16, left: 4, bottom: 4 }                : { top: 12, right: 24, left: 16, bottom: 4 }            }            onMouseMove={(state: any) => {              if (state && typeof state.activeTooltipIndex === "number") {                if (state.activeTooltipIndex !== activeIndex) {                  setActiveIndex(state.activeTooltipIndex)                }              }            }}            onMouseLeave={() => {              setActiveIndex(null)              setActiveSeriesKey(null)            }}          >            {showGrid && (              <CartesianGrid                strokeDasharray="3 3"                vertical={!isVertical}                horizontal={isVertical}                stroke="var(--chart-grid, rgba(255, 255, 255, 0.08))"              />            )}            {/* Zero Baseline Reference Line */}            <ReferenceLine              x={!isVertical ? 0 : undefined}              y={isVertical ? 0 : undefined}              stroke="var(--chart-axis, rgba(255, 255, 255, 0.25))"              strokeWidth={1.5}            />            {isVertical ? (              <>                <XAxis                  dataKey="__category"                  hide={!showXAxis}                  tickLine={false}                  axisLine={{ stroke: "var(--chart-axis, rgba(255, 255, 255, 0.15))" }}                  tick={{ fontSize: 11, fill: "var(--chart-axis, #a1a1aa)" }}                  tickFormatter={formatCategory}                />                <YAxis                  domain={quantitativeDomain}                  hide={!showYAxis}                  tickLine={false}                  axisLine={false}                  tick={{ fontSize: 11, fill: "var(--chart-axis, #a1a1aa)" }}                  tickFormatter={(v) => (globalValueFormatter ? globalValueFormatter(v) : v.toLocaleString())}                />              </>            ) : (              <>                <XAxis                  type="number"                  domain={quantitativeDomain}                  hide={!showXAxis}                  tickLine={false}                  axisLine={{ stroke: "var(--chart-axis, rgba(255, 255, 255, 0.15))" }}                  tick={{ fontSize: 11, fill: "var(--chart-axis, #a1a1aa)" }}                  tickFormatter={(v) => {                    if (globalValueFormatter) return globalValueFormatter(v)                    if (Math.abs(v) >= 1000) return `${(v / 1000).toFixed(0)}k`                    return v.toLocaleString()                  }}                />                <YAxis                  type="category"                  dataKey="__category"                  hide={!showYAxis}                  tickLine={false}                  axisLine={false}                  width={56}                  tick={{ fontSize: 11, fill: "var(--chart-axis, #a1a1aa)" }}                  tickFormatter={formatCategory}                />              </>            )}            {/* Synchronized Category Tooltip */}            <Tooltip              cursor={{                fill: "var(--chart-grid, rgba(255, 255, 255, 0.04))",                radius: 4,              }}              isAnimationActive={false}              allowEscapeViewBox={{ x: false, y: false }}              content={({ active, payload, label }) => {                if (!active || !payload || !payload.length) {                  return null                }                // Extract hovered record directly from Recharts payload                const payloadItem = payload[0]                const currentRec = (payloadItem?.payload as Record<string, unknown> | undefined)                if (!currentRec) return null                // Determine category and index dynamically from payload                const rawCategory = currentRec.__category ?? label                const categoryName: string | number =                  typeof rawCategory === "string" || typeof rawCategory === "number"                    ? rawCategory                    : String(rawCategory ?? "")                const resolvedIndex = records.findIndex((r) => r === currentRec || r.__category === currentRec.__category)                const displayIndex = resolvedIndex >= 0 ? resolvedIndex : (activeIndex ?? 0)                const activeSeriesList =                  tooltipMode === "bar" && activeSeriesKey                    ? visibleSeries.filter((s) => s.key === activeSeriesKey)                    : visibleSeries                const seriesToRender = activeSeriesList.length ? activeSeriesList : visibleSeries                return (                  <div                    role="tooltip"                    className="plotcn-chart-tooltip rounded-lg border border-border/80 bg-zinc-950/95 p-2.5 shadow-xl backdrop-blur-md min-w-[min(170px,calc(100cqw-16px))] max-w-[min(300px,calc(100cqw-16px))] max-h-[calc(100cqh-16px)] overflow-y-auto text-xs font-sans"                  >                    <div className="font-medium text-zinc-100 border-b border-white/10 pb-1.5 mb-1.5 flex items-center justify-between">                      <span>{formatCategory(categoryName)}</span>                      <span className="text-[10px] font-mono text-zinc-500 uppercase tracking-wider">                        #{displayIndex + 1}                      </span>                    </div>                    <div className="space-y-1">                      {seriesToRender.map((s) => {                        const sKey = s.key as string                        const val = currentRec[sKey]                        const isMissing = !isFiniteNumber(val)                        const color = seriesColorMap.get(sKey) || "var(--chart-1)"                        const isHovered = activeSeriesKey === sKey                        return (                          <div                            key={sKey}                            className={cn(                              "flex items-center justify-between gap-3 py-0.5 px-1 rounded transition-colors",                              isHovered && "bg-white/5"                            )}                          >                            <div className="flex items-center gap-1.5 min-w-0">                              <span                                className="size-2 rounded-[2px] shrink-0"                                style={{ backgroundColor: color }}                              />                              <span className="text-zinc-400 truncate">{s.label}</span>                            </div>                            <span                              className={cn(                                "font-mono font-medium tabular-nums shrink-0",                                isMissing ? "text-zinc-500 italic text-[11px]" : "text-zinc-100"                              )}                            >                              {isMissing ? "Unavailable" : formatValue(val as number, s)}                            </span>                          </div>                        )                      })}                    </div>                  </div>                )              }}            />            {/* Individual Peer Series Bars */}            {visibleSeries.map((s) => {              const sKey = s.key as string              const color = seriesColorMap.get(sKey) || "var(--chart-1)"              // Subtle rounding on outer ends only; zero-facing edge remains sharp and grounded              const radius: [number, number, number, number] = isVertical                ? [4, 4, 0, 0]                : [0, 4, 4, 0]              return (                <Bar                  key={sKey}                  dataKey={sKey}                  name={s.label}                  fill={color}                  maxBarSize={maxBarSize}                  radius={radius}                  isAnimationActive={isAnimated}                  animationDuration={animationDuration}                  animationEasing="ease-out"                  onMouseEnter={() => {                    if (cursorMode === "bar") {                      setActiveSeriesKey(sKey)                    }                  }}                  onMouseLeave={() => {                    if (cursorMode === "bar") {                      setActiveSeriesKey(null)                    }                  }}                >                  {valueLabel !== "none" && (                    <LabelList                      dataKey={sKey}                      position={isVertical ? "top" : "right"}                      fill="var(--chart-axis, #a1a1aa)"                      fontSize={10}                      offset={4}                      formatter={(val: any) => {                        if (!isFiniteNumber(val)) return ""                        return formatValue(val, s)                      }}                    />                  )}                </Bar>              )            })}          </BarChart>        </ResponsiveContainer>      </ChartContainer>      {/* Accessible & Interactive Series Legend */}      {showLegendResolved && (        <div          role="toolbar"          aria-label="Series visibility controls"          className="shrink-0 pt-2 flex flex-wrap items-center justify-center gap-3 text-xs font-mono select-none"        >          {series.map((s) => {            const sKey = s.key as string            const isHidden = hiddenSeriesKeys.has(sKey)            const color = seriesColorMap.get(sKey) || "var(--chart-1)"            return (              <button                key={sKey}                type="button"                aria-pressed={!isHidden}                disabled={!interactiveLegend}                onClick={() => toggleSeries(sKey)}                className={cn(                  "inline-flex items-center gap-1.5 px-2 py-0.5 rounded-md border transition-all select-none",                  interactiveLegend ? "cursor-pointer hover:border-zinc-500" : "cursor-default",                  isHidden                    ? "opacity-40 border-transparent bg-transparent line-through text-zinc-500"                    : "border-border/60 bg-muted/20 text-zinc-200"                )}              >                <span                  className="size-2 rounded-[2px] shrink-0"                  style={{ backgroundColor: color }}                />                <span>{s.label}</span>              </button>            )          })}        </div>      )}    </figure>  )}