feat(stats): add frequency heat-map to KanjiBreakdown

- Replace opacity scale with log-scale color tiers (Catppuccin Macchiato)
- Add rare→frequent legend with color swatches
- Show unique kanji count and total occurrences in header

changes/stats-updates.md

@@ -5,4 +5,5 @@ area: stats
 - Improved Stats mining from Search and vocabulary examples: empty `ankiConnect.deck` can use Yomitan's mining deck, sentence cards are created before slow media generation finishes, stored/requested secondary subtitles are preserved before falling back to sidecar files or temporary alass-retimed English sidecars for sentence Selection Text, invalid stored timings are blocked before FFmpeg runs, future out-of-order subtitle timing pairs are skipped until valid timings arrive, and partial media failures are shown.
 - Fixed Stats mining field/audio behavior so sentence clips update `SentenceAudio`, word audio uses the configured Yomitan sources, English subtitle text is not written onto word cards, and secondary subtitle auto-selection prefers regular English tracks over Signs/Songs tracks.
 - Improved vocabulary review with remembered Hide Known/Hide Kana filters, duplicate-collapsed exclusions across token variants, and Related Seen Words matching based on shared readings or kanji.
+- Reorganized the Stats Trends tab into clearer Activity, Cumulative Totals, Efficiency, Patterns, and Library sections, disambiguated per-period vs cumulative charts, and added Reading Speed (words/min) and Cards/Hour efficiency charts.
 - Improved Stats browsing reliability by remembering library card size, retrying stored cover art without extra AniList lookups, preserving PNG/WebP cover MIME types, honoring custom AnkiConnect URLs for Browse, showing progress during session deletes, and making session deletes refresh faster.

docs-site/immersion-tracking.md

@@ -54,7 +54,7 @@ When YouTube channel metadata is available, the Library tab groups videos by cre
 
 #### Trends
 
-Watch time, sessions, words seen, and per-anime progress/pattern charts with configurable date ranges and grouping.
+Grouped into Activity (per-day/month watch time, cards, words, sessions), Cumulative Totals (running totals incl. new words learned and episodes), Efficiency (reading speed, cards/hour, lookups per 100 words), Patterns (watch time by day of week and hour), and per-anime Library charts — all with configurable date ranges and grouping.
 
 ![Stats Trends](/screenshots/stats-trends.png)
 

src/core/services/immersion-tracker/__tests__/query.test.ts

@@ -761,6 +761,10 @@ test('getTrendsDashboard returns chart-ready aggregated series', () => {
     assert.equal(dashboard.progress.watchTime[1]?.value, 75);
     assert.equal(dashboard.progress.lookups[1]?.value, 18);
     assert.equal(dashboard.ratios.lookupsPerHundred[0]?.value, +((8 / 120) * 100).toFixed(1));
+    assert.equal(dashboard.ratios.cardsPerHour[0]?.value, +(2 / (30 / 60)).toFixed(1));
+    assert.equal(dashboard.ratios.cardsPerHour[1]?.value, +(3 / (45 / 60)).toFixed(1));
+    assert.equal(dashboard.ratios.readingSpeed[0]?.value, +(120 / 30).toFixed(1));
+    assert.equal(dashboard.ratios.readingSpeed[1]?.value, +(140 / 45).toFixed(1));
     assert.equal(dashboard.librarySummary[0]?.title, 'Trend Dashboard Anime');
     assert.equal(dashboard.animeCumulative.watchTime[1]?.value, 75);
     assert.equal(

src/core/services/immersion-tracker/query-trends.ts

@@ -74,6 +74,8 @@ export interface TrendsDashboardQueryResult {
   };
   ratios: {
     lookupsPerHundred: TrendChartPoint[];
+    cardsPerHour: TrendChartPoint[];
+    readingSpeed: TrendChartPoint[];
   };
   animeCumulative: {
     watchTime: TrendPerAnimePoint[];
@@ -225,6 +227,26 @@ function buildAggregatedTrendRows(rollups: ImmersionSessionRollupRow[]) {
     }));
 }
 
+function buildEfficiencyRates(rows: ReturnType<typeof buildAggregatedTrendRows>): {
+  cardsPerHour: TrendChartPoint[];
+  readingSpeed: TrendChartPoint[];
+} {
+  const cardsPerHour: TrendChartPoint[] = [];
+  const readingSpeed: TrendChartPoint[] = [];
+  for (const row of rows) {
+    const hours = row.activeMin / 60;
+    cardsPerHour.push({
+      label: row.label,
+      value: hours > 0 ? +(row.cards / hours).toFixed(1) : 0,
+    });
+    readingSpeed.push({
+      label: row.label,
+      value: row.activeMin > 0 ? +(row.words / row.activeMin).toFixed(1) : 0,
+    });
+  }
+  return { cardsPerHour, readingSpeed };
+}
+
 function buildWatchTimeByDayOfWeek(sessions: TrendSessionMetricRow[]): TrendChartPoint[] {
   const totals = new Array(7).fill(0);
   for (const session of sessions) {
@@ -675,6 +697,7 @@ export function getTrendsDashboard(
   );
 
   const aggregatedRows = buildAggregatedTrendRows(chartRollups);
+  const efficiency = buildEfficiencyRates(aggregatedRows);
   const activity = {
     watchTime: aggregatedRows.map((row) => ({ label: row.label, value: row.activeMin })),
     cards: aggregatedRows.map((row) => ({ label: row.label, value: row.cards })),
@@ -724,6 +747,8 @@ export function getTrendsDashboard(
     },
     ratios: {
       lookupsPerHundred: buildLookupsPerHundredWords(sessions, groupBy),
+      cardsPerHour: efficiency.cardsPerHour,
+      readingSpeed: efficiency.readingSpeed,
     },
     animeCumulative: {
       watchTime: buildCumulativePerAnime(animePerDay.watchTime),

stats/src/components/trends/TrendsTab.tsx

@@ -148,7 +148,7 @@ export function TrendsTab() {
         onGroupByChange={setGroupBy}
       />
       <div className="grid grid-cols-1 md:grid-cols-2 gap-4">
-        <SectionHeader>Activity</SectionHeader>
+        <SectionHeader>Activity (per {groupBy === 'month' ? 'month' : 'day'})</SectionHeader>
         <TrendChart
           title="Watch Time (min)"
           data={data.activity.watchTime}
@@ -163,6 +163,72 @@ export function TrendsTab() {
         />
         <TrendChart title="Words Seen" data={data.activity.words} color="#8bd5ca" type="bar" />
         <TrendChart title="Sessions" data={data.activity.sessions} color="#b7bdf8" type="bar" />
+
+        <SectionHeader>Cumulative Totals</SectionHeader>
+        <TrendChart
+          title="Watch Time, cumulative (min)"
+          data={data.progress.watchTime}
+          color="#8aadf4"
+          type="line"
+        />
+        <TrendChart
+          title="Words Seen (cumulative)"
+          data={data.progress.words}
+          color="#8bd5ca"
+          type="line"
+        />
+        <TrendChart
+          title="New Words Learned (cumulative)"
+          data={data.progress.newWords}
+          color="#c6a0f6"
+          type="line"
+        />
+        <TrendChart
+          title="Cards Mined (cumulative)"
+          data={data.progress.cards}
+          color={cardsMinedColor}
+          type="line"
+        />
+        <TrendChart
+          title="Episodes Watched (cumulative)"
+          data={data.progress.episodes}
+          color="#91d7e3"
+          type="line"
+        />
+        <TrendChart
+          title="Sessions (cumulative)"
+          data={data.progress.sessions}
+          color="#b7bdf8"
+          type="line"
+        />
+        <TrendChart
+          title="Lookups (cumulative)"
+          data={data.progress.lookups}
+          color="#f5bde6"
+          type="line"
+        />
+
+        <SectionHeader>Efficiency</SectionHeader>
+        <TrendChart
+          title="Reading Speed (words / min)"
+          data={data.ratios.readingSpeed}
+          color="#a6da95"
+          type="line"
+        />
+        <TrendChart
+          title="Cards / Hour"
+          data={data.ratios.cardsPerHour}
+          color={cardsMinedColor}
+          type="line"
+        />
+        <TrendChart
+          title="Lookups / 100 Words"
+          data={data.ratios.lookupsPerHundred}
+          color="#f5a97f"
+          type="line"
+        />
+
+        <SectionHeader>Patterns</SectionHeader>
         <TrendChart
           title="Watch Time by Day of Week (min)"
           data={data.patterns.watchTimeByDayOfWeek}
@@ -176,41 +242,6 @@ export function TrendsTab() {
           type="bar"
         />
 
-        <SectionHeader>Period Trends</SectionHeader>
-        <TrendChart
-          title="Watch Time (min)"
-          data={data.progress.watchTime}
-          color="#8aadf4"
-          type="line"
-        />
-        <TrendChart title="Sessions" data={data.progress.sessions} color="#b7bdf8" type="line" />
-        <TrendChart title="Words Seen" data={data.progress.words} color="#8bd5ca" type="line" />
-        <TrendChart
-          title="New Words Seen"
-          data={data.progress.newWords}
-          color="#c6a0f6"
-          type="line"
-        />
-        <TrendChart
-          title="Cards Mined"
-          data={data.progress.cards}
-          color={cardsMinedColor}
-          type="line"
-        />
-        <TrendChart
-          title="Episodes Watched"
-          data={data.progress.episodes}
-          color="#91d7e3"
-          type="line"
-        />
-        <TrendChart title="Lookups" data={data.progress.lookups} color="#f5bde6" type="line" />
-        <TrendChart
-          title="Lookups / 100 Words"
-          data={data.ratios.lookupsPerHundred}
-          color="#f5a97f"
-          type="line"
-        />
-
         <SectionHeader>Library — Cumulative</SectionHeader>
         <AnimeVisibilityFilter
           animeTitles={animeTitles}

stats/src/components/vocabulary/KanjiBreakdown.tsx

@@ -1,4 +1,6 @@
+import { useMemo } from 'react';
 import type { KanjiEntry } from '../../types/stats';
+import { formatNumber } from '../../lib/formatters';
 
 interface KanjiBreakdownProps {
   kanji: KanjiEntry[];
@@ -6,34 +8,75 @@ interface KanjiBreakdownProps {
   onSelectKanji?: (entry: KanjiEntry) => void;
 }
 
+// Heat scale from rare (cool) to very frequent (warm). Catppuccin Macchiato.
+const FREQ_TIERS = [
+  { min: 0.85, color: 'text-ctp-peach', swatch: 'bg-ctp-peach', label: 'Very frequent' },
+  { min: 0.6, color: 'text-ctp-yellow', swatch: 'bg-ctp-yellow', label: 'Frequent' },
+  { min: 0.35, color: 'text-ctp-green', swatch: 'bg-ctp-green', label: 'Common' },
+  { min: 0.15, color: 'text-ctp-teal', swatch: 'bg-ctp-teal', label: 'Occasional' },
+  { min: 0, color: 'text-ctp-subtext0', swatch: 'bg-ctp-subtext0', label: 'Rare' },
+] as const;
+
+function tierFor(intensity: number) {
+  return FREQ_TIERS.find((tier) => intensity >= tier.min) ?? FREQ_TIERS[FREQ_TIERS.length - 1];
+}
+
 export function KanjiBreakdown({
   kanji,
   selectedKanjiId = null,
   onSelectKanji,
 }: KanjiBreakdownProps) {
-  if (kanji.length === 0) return null;
+  const { totalOccurrences, maxLogFreq } = useMemo(() => {
+    let total = 0;
+    let maxFreq = 1;
+    for (const entry of kanji) {
+      total += entry.frequency;
+      if (entry.frequency > maxFreq) maxFreq = entry.frequency;
+    }
+    return { totalOccurrences: total, maxLogFreq: Math.log(maxFreq + 1) };
+  }, [kanji]);
 
-  const maxFreq = kanji.reduce((max, entry) => Math.max(max, entry.frequency), 1);
+  if (kanji.length === 0) return null;
 
   return (
     <div className="bg-ctp-surface0 border border-ctp-surface1 rounded-lg p-4">
-      <h3 className="text-sm font-semibold text-ctp-text mb-3">Kanji Encountered</h3>
+      <div className="mb-3 flex flex-wrap items-center justify-between gap-2">
+        <h3 className="text-sm font-semibold text-ctp-text">
+          Kanji Encountered
+          <span className="ml-2 font-normal text-ctp-subtext0">
+            {formatNumber(kanji.length)} unique · {formatNumber(totalOccurrences)} seen
+          </span>
+        </h3>
+        <div className="flex items-center gap-1.5 text-[11px] text-ctp-subtext0">
+          <span>rare</span>
+          <div className="flex items-center gap-1">
+            {[...FREQ_TIERS].reverse().map((tier) => (
+              <span
+                key={tier.label}
+                className={`h-2 w-2 rounded-full ${tier.swatch}`}
+                title={tier.label}
+              />
+            ))}
+          </div>
+          <span>frequent</span>
+        </div>
+      </div>
       <div className="flex flex-wrap gap-1">
         {kanji.map((k) => {
-          const ratio = k.frequency / maxFreq;
-          const opacity = Math.max(0.3, ratio);
+          // Log scale keeps the heavily-skewed frequency distribution readable.
+          const intensity = maxLogFreq > 0 ? Math.log(k.frequency + 1) / maxLogFreq : 0;
+          const tier = tierFor(intensity);
+          const selected = selectedKanjiId === k.kanjiId;
           return (
             <button
               type="button"
               key={k.kanji}
-              className={`cursor-pointer rounded px-1 text-lg text-ctp-teal transition ${
-                selectedKanjiId === k.kanjiId
-                  ? 'bg-ctp-teal/10 ring-1 ring-ctp-teal'
-                  : 'hover:bg-ctp-surface1/80'
+              className={`cursor-pointer rounded-md px-1.5 py-0.5 text-xl leading-none font-medium transition-colors duration-150 ${tier.color} ${
+                selected ? 'bg-ctp-surface2 ring-1 ring-ctp-lavender' : 'hover:bg-ctp-surface1'
               }`}
-              style={{ opacity }}
-              title={`${k.kanji} — seen ${k.frequency}x`}
+              title={`${k.kanji} — seen ${formatNumber(k.frequency)}×`}
               aria-label={`${k.kanji} — seen ${k.frequency} times`}
+              aria-pressed={selected}
               onClick={() => onSelectKanji?.(k)}
             >
               {k.kanji}

stats/src/types/stats.ts

@@ -349,6 +349,8 @@ export interface TrendsDashboardData {
   };
   ratios: {
     lookupsPerHundred: TrendChartPoint[];
+    cardsPerHour: TrendChartPoint[];
+    readingSpeed: TrendChartPoint[];
   };
   librarySummary: LibrarySummaryRow[];
   animeCumulative: {