Chart builder: data-aware defaults, one-click hint fixes, canvas preview, fullscreen modal

This commit is contained in:
2026-06-10 17:10:18 +03:00
parent 68a044752f
commit 62d0697f0e
20 changed files with 1133 additions and 73 deletions
+138 -13
View File
@@ -108,16 +108,20 @@ describe('builderWarnings (Tier B advisories)', () => {
expect(w.some((m) => /need both an X and a Y/.test(m.message))).toBe(true);
});
it('warns when two measures are drawn on a non-scatter mark', () => {
const w = builderWarnings({
it('warns when two measures are drawn on a non-scatter mark, offering [Switch to Point]', () => {
const config: BuilderConfig = {
datasetName: 'D',
mark: 'bar',
encodings: {
x: { field: 'a', type: 'quantitative' },
y: { field: 'b', type: 'quantitative' },
},
});
expect(w.some((m) => /scatter/.test(m.message))).toBe(true);
};
const w = builderWarnings(config);
const hint = w.find((m) => /scatter/.test(m.message));
const fix = hint?.fixes?.find((f) => f.label === 'Switch to Point');
expect(fix).toBeDefined();
expect(fix!.apply(config).mark).toBe('point');
});
it('warns when a bar/line/area has no measure on either axis', () => {
@@ -129,8 +133,8 @@ describe('builderWarnings (Tier B advisories)', () => {
expect(w.some((m) => /need a measure/.test(m.message))).toBe(true);
});
it('warns when an area chart is split into colour series', () => {
const w = builderWarnings({
it('warns when an area chart is split into colour series, offering [Stack] / [Remove colour]', () => {
const config: BuilderConfig = {
datasetName: 'D',
mark: 'area',
encodings: {
@@ -138,8 +142,20 @@ describe('builderWarnings (Tier B advisories)', () => {
y: { field: 'v', type: 'quantitative' },
color: { field: 'g', type: 'nominal' },
},
});
expect(w.some((m) => m.channel === 'color')).toBe(true);
};
const w = builderWarnings(config);
const hint = w.find((m) => m.channel === 'color');
expect(hint).toBeDefined();
const labels = hint?.fixes?.map((f) => f.label) ?? [];
expect(labels).toEqual(['Stack', 'Remove colour']); // most-recommended first
// [Remove colour] clears the colour channel, so the hint re-derives away.
const cleared = hint!.fixes!.find((f) => f.label === 'Remove colour')!.apply(config);
expect(cleared.encodings.color).toBeNull();
expect(builderWarnings(cleared).some((m) => m.channel === 'color')).toBe(false);
// [Stack] turns it into a part-to-whole stack, which is no longer flagged.
const stacked = hint!.fixes!.find((f) => f.label === 'Stack')!.apply(config);
expect(stacked.stack).toBe('zero');
expect(builderWarnings(stacked).some((m) => m.channel === 'color')).toBe(false);
});
it('is silent for a clean configuration', () => {
@@ -170,7 +186,29 @@ describe('builderWarnings (Tier B advisories)', () => {
const hint = w.find((m) => /one mark per row/.test(m.message));
expect(hint?.channel).toBe('x'); // the category axis
expect(hint?.message).toContain('406 in this dataset');
expect(hint?.message).toMatch(/Swap X\/Y/); // bar → horizontal-bar remedy
// Remedies are one-click fixes, not prose; most-recommended first.
const labels = hint?.fixes?.map((f) => f.label) ?? [];
expect(labels).toEqual(['Aggregate as Sum', 'Swap X/Y']); // aggregate before swap
});
it('[Aggregate as Sum] resolves the one-mark-per-row hint', () => {
const w = crowded();
const hint = w.find((m) => /one mark per row/.test(m.message));
const fix = hint?.fixes?.find((f) => f.label === 'Aggregate as Sum');
expect(fix).toBeDefined();
const fixed = fix!.apply({
datasetName: 'D',
mark: 'bar',
encodings: {
x: { field: 'name', type: 'nominal' },
y: { field: 'mpg', type: 'quantitative' },
},
});
expect(fixed.encodings.y?.aggregate).toBe('sum');
// and the hint is gone once applied
expect(builderWarnings(fixed, 406).some((m) => /one mark per row/.test(m.message))).toBe(
false,
);
});
it('is silent once the measure is aggregated (one bar per category)', () => {
@@ -219,8 +257,9 @@ describe('builderWarnings (Tier B advisories)', () => {
);
const hint = w.find((m) => /one mark per row/.test(m.message));
expect(hint).toBeDefined();
expect(hint?.message).not.toMatch(/Swap X\/Y/);
expect(hint?.message).toMatch(/reduce the number of categories/);
const labels = hint?.fixes?.map((f) => f.label) ?? [];
expect(labels).not.toContain('Swap X/Y'); // a horizontal line makes no sense
expect(labels).toContain('Aggregate as Sum'); // aggregate still applies
});
});
@@ -262,7 +301,7 @@ describe('builderWarnings (Tier B advisories)', () => {
const hint = w.find((m) => /distinct values/.test(m.message));
expect(hint?.channel).toBe('x');
expect(hint?.message).toMatch(/48 distinct values/);
expect(hint?.message).toMatch(/Swap X\/Y/); // bar → horizontal-bar remedy
expect(hint?.fixes?.map((f) => f.label)).toContain('Swap X/Y'); // horizontal-bar remedy
});
it('reports "more than 50" when the category cardinality hit the profiler cap', () => {
@@ -426,7 +465,8 @@ describe('builderWarnings (Tier B advisories)', () => {
});
describe('defaultBuilderConfig', () => {
it('puts the first column on X and the second on Y, each with derived type', () => {
it('falls back to first-on-X, second-on-Y when the dataset is unprofiled', () => {
// `columns` carries no columnStats → no data-aware pick → positional default.
const config = defaultBuilderConfig('Sales', columns);
expect(config.mark).toBe('bar');
expect(config.datasetName).toBe('Sales');
@@ -467,6 +507,91 @@ describe('defaultBuilderConfig', () => {
});
});
describe('defaultBuilderConfig — data-aware "safest bet" (profiled datasets)', () => {
/** Stats for one column. */
const stat = (name: string, distinct: number, capped = false) => ({
name,
distinct,
distinctCapped: capped,
numericExtent: null,
});
it('opens on a low-cardinality category vs a count of records, not the first two columns', () => {
// Superstore-shaped: an id-like number first, a high-cardinality id, then tidy
// categories — the case a positional first-two-columns default would open as a
// 9994-bar degenerate chart.
const wide: BuilderColumns = {
columns: ['Row ID', 'Order ID', 'Segment', 'Sales'],
columnTypes: [
{ name: 'Row ID', type: 'number' },
{ name: 'Order ID', type: 'string' },
{ name: 'Segment', type: 'string' },
{ name: 'Sales', type: 'number' },
],
columnStats: [
stat('Row ID', 50, true),
stat('Order ID', 50, true), // high cardinality → not a category axis
stat('Segment', 3), // tidy category → the pick
stat('Sales', 50, true),
],
};
const config = defaultBuilderConfig('Superstore', wide);
expect(config.mark).toBe('bar');
expect(config.encodings.x).toEqual({ field: 'Segment', type: 'nominal' });
expect(config.encodings.y).toEqual({ type: 'quantitative', aggregate: 'count' });
});
it('picks the lowest-cardinality readable category among several', () => {
const cols: BuilderColumns = {
columns: ['Region', 'Segment', 'City'],
columnTypes: [
{ name: 'Region', type: 'string' },
{ name: 'Segment', type: 'string' },
{ name: 'City', type: 'string' },
],
columnStats: [stat('Region', 4), stat('Segment', 3), stat('City', 50, true)],
};
const config = defaultBuilderConfig('D', cols);
expect(config.encodings.x).toEqual({ field: 'Segment', type: 'nominal' }); // 3 < 4
});
it('falls through to a time series (date vs count) when no tidy category exists', () => {
const cols: BuilderColumns = {
columns: ['Order ID', 'Order Date', 'Sales'],
columnTypes: [
{ name: 'Order ID', type: 'string' },
{ name: 'Order Date', type: 'date' },
{ name: 'Sales', type: 'number' },
],
columnStats: [
stat('Order ID', 50, true),
stat('Order Date', 50, true),
stat('Sales', 50, true),
],
};
const config = defaultBuilderConfig('D', cols);
expect(config.mark).toBe('line');
expect(config.encodings.x).toEqual({ field: 'Order Date', type: 'temporal' });
expect(config.encodings.y).toEqual({ field: 'Sales', type: 'quantitative' }); // the measure, raw
});
it('falls through to a scatter of two measures when there is no category or date', () => {
const cols: BuilderColumns = {
columns: ['Order ID', 'Sales', 'Profit'],
columnTypes: [
{ name: 'Order ID', type: 'string' },
{ name: 'Sales', type: 'number' },
{ name: 'Profit', type: 'number' },
],
columnStats: [stat('Order ID', 50, true), stat('Sales', 50, true), stat('Profit', 50, true)],
};
const config = defaultBuilderConfig('D', cols);
expect(config.mark).toBe('point');
expect(config.encodings.x).toEqual({ field: 'Sales', type: 'quantitative' });
expect(config.encodings.y).toEqual({ field: 'Profit', type: 'quantitative' });
});
});
describe('isBuilderConfigValid', () => {
const base: BuilderConfig = { datasetName: 'D', mark: 'bar', encodings: {} };
+177 -28
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@@ -230,14 +230,87 @@ function fieldTypeForColumn(name: string, columns: BuilderColumns): FieldType {
return defaultFieldType(match?.type ?? 'string');
}
/**
* Above this many distinct values, a column is too high-cardinality to be a good
* default category axis: its labels overlap into an unreadable axis, and an
* unaggregated chart that wide can exceed the canvas size limit. Matches the
* crowded-axis warning threshold.
*/
const CATEGORY_DEFAULT_MAX_DISTINCT = 30;
/**
* Pick a *sensible, renderable* default X/Y from the data shape, using profiled
* cardinality (`columnStats`). This avoids opening the builder on a degenerate
* one-mark-per-row chart — the shape a positional first-two-columns rule yields when
* the leading columns are an id and a high-cardinality key. Returns `null` when there
* are no stats to reason about (older / URL datasets), so the caller falls back to the
* positional default.
*
* Preference order (each guaranteed to render and read cleanly):
* 1. a low-cardinality **category** vs a **count of records** → a tidy bar;
* 2. else a **temporal** axis vs count → a time series (continuous x, always fits);
* 3. else two **measures** → a scatter (continuous axes, always fit).
*
* The category case pairs with the field-less **count**, not a raw measure: count is
* always meaningful and avoids summing an id-like numeric (Row ID, Postal Code) into
* nonsense. This is the builder's *opening* state only; a later intent-first entry
* point can layer richer recommendations on top.
*/
function smartDefaultEncodings(
columns: BuilderColumns,
): { x: ChannelMapping; y: ChannelMapping } | null {
const stats = columns.columnStats;
if (!stats || stats.length === 0) return null; // no profiling → positional fallback
const typeOf = (name: string): ColumnType =>
columns.columnTypes.find((c) => c.name === name)?.type ?? 'string';
const knownDistinct = (name: string): number | undefined => {
const s = stats.find((x) => x.name === name);
return s && !s.distinctCapped ? s.distinct : undefined;
};
const count: ChannelMapping = { type: 'quantitative', aggregate: 'count' };
const numbers = columns.columns.filter((name) => typeOf(name) === 'number');
// 1. The lowest-cardinality readable category (string/boolean) → a tidy bar. Pair it
// with **count** (not a raw measure): a raw measure would draw one bar per row.
const category = columns.columns
.filter((name) => {
const t = typeOf(name);
if (t !== 'string' && t !== 'boolean') return false;
const d = knownDistinct(name);
return d !== undefined && d >= 2 && d <= CATEGORY_DEFAULT_MAX_DISTINCT;
})
.sort((a, b) => (knownDistinct(a) ?? 0) - (knownDistinct(b) ?? 0))[0];
if (category) return { x: { field: category, type: 'nominal' }, y: count };
// 2. A date → a time series of the first measure (a temporal axis is continuous, so a
// line of raw values always fits); fall back to count if there is no measure.
const temporal = columns.columns.find((name) => typeOf(name) === 'date');
if (temporal) {
const y: ChannelMapping = numbers[0] ? { field: numbers[0], type: 'quantitative' } : count;
return { x: { field: temporal, type: 'temporal' }, y };
}
// 3. Two measures → a scatter (continuous axes, always renderable).
if (numbers.length >= 2) {
return {
x: { field: numbers[0], type: 'quantitative' },
y: { field: numbers[1], type: 'quantitative' },
};
}
return null;
}
/**
* The builder's opening configuration for a dataset (spec §06 → Default
* pre-population, Tier B): the first column on X and the second (if any) on Y, each
* with its derived field type; Color and Size start unmapped, no transforms. The
* mark is the **smart default** for the resulting X/Y shape (`defaultMark`) rather
* than always Bar — a date-vs-number dataset opens as a Line, two measures as a
* Point — so the first preview is already the conventional chart. A dataset with no
* detected columns yields an all-unmapped config (the modal then prompts).
* pre-population, Tier B). When the dataset is profiled, X/Y are chosen as a
* **data-aware "safest bet"** (`smartDefaultEncodings`) — a low-cardinality category
* vs a count of records (a tidy bar), else a time series, else a scatter — so the
* builder never opens on a degenerate one-mark-per-row chart that can't render. When
* there are no stats to reason about, it falls back to the positional rule: first
* column on X, second (if any) on Y, each with its derived field type. Either way the
* mark is the **smart default** for the resulting X/Y shape (`defaultMark`), Color
* and Size start unmapped with no transforms, and a dataset with no detected columns
* yields an all-unmapped config (the modal then prompts).
*/
export function defaultBuilderConfig(datasetName: string, columns: BuilderColumns): BuilderConfig {
const encodings: Partial<Record<ChannelName, ChannelMapping | null>> = {
@@ -246,12 +319,20 @@ export function defaultBuilderConfig(datasetName: string, columns: BuilderColumn
color: null,
size: null,
};
const [first, second] = columns.columns;
if (first !== undefined) {
encodings.x = { field: first, type: fieldTypeForColumn(first, columns) };
}
if (second !== undefined) {
encodings.y = { field: second, type: fieldTypeForColumn(second, columns) };
// Prefer a data-aware "safest bet" (a renderable, readable chart) when the dataset
// is profiled; otherwise fall back to the positional first-on-X, second-on-Y rule.
const smart = smartDefaultEncodings(columns);
if (smart) {
encodings.x = smart.x;
encodings.y = smart.y;
} else {
const [first, second] = columns.columns;
if (first !== undefined) {
encodings.x = { field: first, type: fieldTypeForColumn(first, columns) };
}
if (second !== undefined) {
encodings.y = { field: second, type: fieldTypeForColumn(second, columns) };
}
}
const mark = defaultMark(encodings.x?.type ?? null, encodings.y?.type ?? null);
return { datasetName, mark, encodings };
@@ -329,12 +410,27 @@ export function supportsStack(config: BuilderConfig): boolean {
);
}
/**
* A one-click remedy a warning can offer. `apply` is a pure config→config transform;
* the modal renders `label` as a button that runs it. It is an *offer*, never a forced
* change — once applied, the warning re-derives away. Lives in core so the remedies
* unit-test alongside the warnings.
*/
export interface BuilderWarningFix {
/** The button label naming the remedy, e.g. "Aggregate as Sum". */
label: string;
/** Produce the corrected configuration from the current one (pure). */
apply: (config: BuilderConfig) => BuilderConfig;
}
/** A non-blocking advisory about a configuration (spec §06 → Tier B warnings). */
export interface BuilderWarning {
/** The channel the hint is about, when it's channel-specific. */
channel?: ChannelName;
/** A short, plain-language hint the modal shows inline (not an error). */
message: string;
/** Optional one-click remedies the modal renders as buttons next to the hint. */
fixes?: BuilderWarningFix[];
}
/**
@@ -371,6 +467,41 @@ function cardinalityText(stats: ColumnStats): string {
return stats.distinctCapped ? `more than ${DISTINCT_CAP}` : `${stats.distinct}`;
}
// --- Pure config transforms backing the actionable-hint fixes. They mirror the
// store's setChannelAggregate / swapXY / setStack / setChannelColumn(null) / setMark
// actions, so applying a fix and making the equivalent manual edit land on the same
// config. Kept here (not the store) so the remedies are pure and unit-testable. ---
/** Aggregate one channel's field (clearing any bin — the two are mutually exclusive). */
function withChannelAggregate(
config: BuilderConfig,
channel: ChannelName,
aggregate: AggregateOp,
): BuilderConfig {
const current = config.encodings[channel];
if (!current) return config;
const next: ChannelMapping = { ...current, aggregate };
delete next.bin;
return { ...config, encodings: { ...config.encodings, [channel]: next } };
}
/** Exchange the X and Y mappings (the manual Swap X/Y, as a pure transform). */
function withSwappedXY(config: BuilderConfig): BuilderConfig {
return {
...config,
encodings: {
...config.encodings,
x: config.encodings.y ?? null,
y: config.encodings.x ?? null,
},
};
}
/** Clear one channel back to "None" (drops its mapping from the spec). */
function withChannelCleared(config: BuilderConfig, channel: ChannelName): BuilderConfig {
return { ...config, encodings: { ...config.encodings, [channel]: null } };
}
/**
* Non-blocking advisories for the current configuration (spec §06 → Tier B): the
* encodings that render but read poorly, drawn from the research's soft rules
@@ -427,17 +558,25 @@ export function builderWarnings(
mark !== 'circle'
) {
warnings.push({
message: 'Two measures usually read best as a scatter — try Point or Circle.',
message: 'Two measures usually read best as a scatter.',
fixes: [{ label: 'Switch to Point', apply: (c) => ({ ...c, mark: 'point' }) }],
});
}
// Area split into many series hides per-component change (FT Visual Vocabulary:
// "seeing change in components can be very difficult").
if (mark === 'area' && config.encodings.color) {
// (Stacking turns overlapping series into a cumulative part-to-whole, a valid read,
// so a stacked area is not flagged — applying the [Stack] fix below clears this.)
if (mark === 'area' && config.encodings.color && !config.stack) {
const fixes: BuilderWarningFix[] = [];
if (supportsStack(config)) {
fixes.push({ label: 'Stack', apply: (c) => ({ ...c, stack: 'zero' }) });
}
fixes.push({ label: 'Remove colour', apply: (c) => withChannelCleared(c, 'color') });
warnings.push({
channel: 'color',
message:
'Area charts make per-series change hard to read; consider Line for multiple series.',
message: 'Area charts make per-series change hard to read.',
fixes,
});
}
@@ -455,28 +594,38 @@ export function builderWarnings(
// long category lists belong on a horizontal bar).
if (mark === 'bar' || mark === 'line' || mark === 'area') {
const category = sortableCategoryChannel(config); // discrete axis of a category-vs-measure pair
const measure = category ? config.encodings[category === 'x' ? 'y' : 'x'] : null;
if (category && measure) {
const measureChannel = category ? (category === 'x' ? 'y' : 'x') : null;
const measure = measureChannel ? (config.encodings[measureChannel] ?? null) : null;
if (category && measureChannel && measure) {
const rawMeasure = !measure.aggregate && !measure.bin;
if (rawMeasure && typeof rowCount === 'number' && rowCount > CROWDED_CATEGORY_ROWS) {
const fix =
mark === 'bar'
? 'Aggregate the measure (e.g. Sum or Mean) for one bar per category, or use Swap X/Y for a horizontal bar where long labels stay readable.'
: 'Aggregate the measure (e.g. Sum or Mean) so there is one mark per category, or reduce the number of categories.';
// Aggregating the measure collapses one-mark-per-row to one-per-category; a bar
// can also flip horizontal (Swap X/Y) where long labels stay readable. Offer
// aggregate only for a quantitative measure (Sum is meaningless on a date).
const fixes: BuilderWarningFix[] = [];
if (effectiveType(measure) === 'quantitative') {
fixes.push({
label: 'Aggregate as Sum',
apply: (c) => withChannelAggregate(c, measureChannel, 'sum'),
});
}
if (mark === 'bar') fixes.push({ label: 'Swap X/Y', apply: withSwappedXY });
warnings.push({
channel: category,
message: `This draws one mark per row (${rowCount} in this dataset), so the category-axis labels will overlap. ${fix}`,
message: `This draws one mark per row (${rowCount} in this dataset), so the category-axis labels will overlap.`,
fixes: fixes.length ? fixes : undefined,
});
} else {
const stats = statsFor(config.encodings[category]?.field, columns);
if (stats && stats.distinct > CROWDED_CATEGORY_DISTINCT) {
const fix =
mark === 'bar'
? 'Use Swap X/Y for a horizontal bar where long lists stay readable, or filter to fewer categories.'
: 'Filter to fewer categories, or group the long tail into an "Other".';
// Aggregated already, so the remedy is fewer categories (filter — not yet a
// builder control) or, for a bar, a horizontal flip where long lists fit.
const fixes: BuilderWarningFix[] =
mark === 'bar' ? [{ label: 'Swap X/Y', apply: withSwappedXY }] : [];
warnings.push({
channel: category,
message: `This category axis has ${cardinalityText(stats)} distinct values, so its labels will overlap. ${fix}`,
message: `This category axis has ${cardinalityText(stats)} distinct values, so its labels will overlap.`,
fixes: fixes.length ? fixes : undefined,
});
}
}