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<!DOCTYPE html>
<html lang="it">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Dashboard Corsa - Fabri</title>
<script src="https://cdn.jsdelivr.net/npm/chart.js@4.5.1" integrity="sha384-jb8JQMbMoBUzgWatfe6COACi2ljcDdZQ2OxczGA3bGNeWe+6DChMTBJemed7ZnvJ" crossorigin="anonymous"></script>
<script src="https://cdn.jsdelivr.net/npm/chartjs-adapter-date-fns@3.0.0" integrity="sha384-cVMg8E3QFwTvGCDuK+ET4PD341jF3W8nO1auiXfuZNQkzbUUiBGLsIQUE+b1mxws" crossorigin="anonymous"></script>
<style>
:root {
--bg: #f0f2f5;
--card: #ffffff;
--header-bg: #1a1a2e;
--accent: #e94560;
--accent2: #0f3460;
--accent3: #16213e;
--text: #212529;
--text2: #6c757d;
--text-light: #ffffff;
--border: #e9ecef;
--positive: #28a745;
--negative: #dc3545;
--neutral: #6c757d;
--gap: 16px;
--radius: 10px;
--shadow: 0 2px 8px rgba(0,0,0,0.07);
}
* { margin: 0; padding: 0; box-sizing: border-box; }
body {
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
background: var(--bg);
color: var(--text);
line-height: 1.5;
min-height: 100vh;
}
.container {
max-width: 1400px;
margin: 0 auto;
padding: var(--gap);
}
/* ── Header ── */
.header {
background: linear-gradient(135deg, var(--header-bg) 0%, var(--accent3) 60%, var(--accent2) 100%);
color: var(--text-light);
padding: 22px 28px;
border-radius: var(--radius);
margin-bottom: var(--gap);
display: flex;
justify-content: space-between;
align-items: center;
flex-wrap: wrap;
gap: 14px;
}
.header-left h1 {
font-size: 22px;
font-weight: 700;
letter-spacing: -0.3px;
}
.header-left h1 span { color: var(--accent); }
.header-left .subtitle {
font-size: 13px;
color: rgba(255,255,255,0.6);
margin-top: 2px;
}
.filters {
display: flex;
gap: 12px;
align-items: center;
flex-wrap: wrap;
}
.filter-group {
display: flex;
align-items: center;
gap: 6px;
}
.filter-group label {
font-size: 12px;
color: rgba(255,255,255,0.65);
white-space: nowrap;
}
.filter-group select,
.filter-group input[type="date"] {
padding: 6px 10px;
border: 1px solid rgba(255,255,255,0.2);
border-radius: 6px;
background: rgba(255,255,255,0.1);
color: var(--text-light);
font-size: 13px;
cursor: pointer;
}
.filter-group select option { background: #1a1a2e; }
.btn-reset {
padding: 6px 14px;
border: 1px solid rgba(255,255,255,0.3);
border-radius: 6px;
background: rgba(233,69,96,0.2);
color: var(--text-light);
font-size: 12px;
cursor: pointer;
transition: background .2s;
}
.btn-reset:hover { background: rgba(233,69,96,0.4); }
/* ── KPI Row ── */
.kpi-row {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(180px, 1fr));
gap: var(--gap);
margin-bottom: var(--gap);
}
.kpi-card {
background: var(--card);
border-radius: var(--radius);
padding: 20px 22px;
box-shadow: var(--shadow);
border-left: 4px solid var(--accent);
position: relative;
overflow: hidden;
}
.kpi-card:nth-child(2) { border-left-color: #4C72B0; }
.kpi-card:nth-child(3) { border-left-color: #55A868; }
.kpi-card:nth-child(4) { border-left-color: #DD8452; }
.kpi-card:nth-child(5) { border-left-color: #8172B3; }
.kpi-card:nth-child(6) { border-left-color: #937860; }
.kpi-card .icon {
position: absolute;
right: 16px;
top: 50%;
transform: translateY(-50%);
font-size: 32px;
opacity: 0.1;
}
.kpi-label {
font-size: 11px;
color: var(--text2);
text-transform: uppercase;
letter-spacing: 0.7px;
margin-bottom: 6px;
}
.kpi-value {
font-size: 26px;
font-weight: 700;
color: var(--text);
margin-bottom: 4px;
line-height: 1.1;
}
.kpi-sub {
font-size: 12px;
color: var(--text2);
}
/* ── Chart grid ── */
.chart-grid-2 {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(420px, 1fr));
gap: var(--gap);
margin-bottom: var(--gap);
}
.chart-grid-3 {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
gap: var(--gap);
margin-bottom: var(--gap);
}
.chart-card {
background: var(--card);
border-radius: var(--radius);
padding: 20px 22px;
box-shadow: var(--shadow);
}
.chart-card.wide {
grid-column: 1 / -1;
}
.chart-card h3 {
font-size: 13px;
font-weight: 600;
color: var(--text);
margin-bottom: 4px;
}
.chart-card .chart-sub {
font-size: 11px;
color: var(--text2);
margin-bottom: 16px;
}
.chart-card canvas {
max-height: 280px;
}
/* ── Table ── */
.table-card {
background: var(--card);
border-radius: var(--radius);
padding: 20px 22px;
box-shadow: var(--shadow);
margin-bottom: var(--gap);
overflow-x: auto;
}
.table-card h3 {
font-size: 13px;
font-weight: 600;
color: var(--text);
margin-bottom: 4px;
}
.table-card .chart-sub {
font-size: 11px;
color: var(--text2);
margin-bottom: 16px;
}
.data-table {
width: 100%;
border-collapse: collapse;
font-size: 13px;
}
.data-table thead th {
text-align: left;
padding: 9px 12px;
border-bottom: 2px solid var(--border);
color: var(--text2);
font-weight: 600;
font-size: 11px;
text-transform: uppercase;
letter-spacing: 0.5px;
white-space: nowrap;
cursor: pointer;
user-select: none;
}
.data-table thead th:hover { color: var(--text); background: #f8f9fa; }
.data-table tbody td {
padding: 9px 12px;
border-bottom: 1px solid var(--border);
white-space: nowrap;
}
.data-table tbody tr:last-child td { border-bottom: none; }
.data-table tbody tr:hover { background: #f8f9fa; }
.note-tag {
display: inline-block;
background: #e8f4f8;
color: #0369a1;
border-radius: 4px;
padding: 1px 7px;
font-size: 11px;
}
.pace-good { color: var(--positive); font-weight: 600; }
.pace-ok { color: #d97706; font-weight: 600; }
.pace-slow { color: var(--negative); font-weight: 600; }
/* ── Streak ── */
.heatmap-row {
display: flex;
flex-wrap: wrap;
gap: 4px;
margin-top: 12px;
}
.heat-cell {
width: 20px;
height: 20px;
border-radius: 3px;
background: #ebedf0;
position: relative;
cursor: default;
}
.heat-cell[title]:hover::after {
content: attr(title);
position: absolute;
bottom: 26px;
left: 50%;
transform: translateX(-50%);
background: #333;
color: #fff;
padding: 3px 7px;
border-radius: 4px;
font-size: 11px;
white-space: nowrap;
z-index: 10;
}
.heat-cell.level-1 { background: #c6e48b; }
.heat-cell.level-2 { background: #7bc96f; }
.heat-cell.level-3 { background: #239a3b; }
.heat-cell.level-4 { background: #196127; }
/* ── Footer ── */
.footer {
text-align: center;
font-size: 11px;
color: var(--text2);
padding: 12px 0 20px;
}
/* ── Responsive ── */
@media (max-width: 768px) {
.kpi-row { grid-template-columns: repeat(2, 1fr); }
.chart-grid-2, .chart-grid-3 { grid-template-columns: 1fr; }
.header { flex-direction: column; align-items: flex-start; }
}
@media print {
body { background: white; }
.filters, .btn-reset { display: none; }
}
</style>
</head>
<body>
<div class="container">
<!-- HEADER -->
<header class="header">
<div class="header-left">
<h1>🏃 Dashboard <span>Corse</span></h1>
<div class="subtitle">Aggiornato al <span id="last-update"></span> · Dati da file Numbers</div>
</div>
<div class="filters">
<div class="filter-group">
<label>Mese</label>
<select id="filter-month" onchange="dash.applyFilters()">
<option value="all">Tutti i mesi</option>
</select>
</div>
<div class="filter-group">
<label>Distanza min (km)</label>
<select id="filter-dist" onchange="dash.applyFilters()">
<option value="0">Tutte</option>
<option value="5">≥ 5 km</option>
<option value="8">≥ 8 km</option>
<option value="10">≥ 10 km</option>
</select>
</div>
<button class="btn-reset" onclick="dash.resetFilters()">✕ Reset</button>
</div>
</header>
<!-- KPI -->
<section class="kpi-row" id="kpi-row">
<div class="kpi-card"><span class="icon">📏</span><div class="kpi-label">Km totali</div><div class="kpi-value" id="kpi-total-km">-</div><div class="kpi-sub" id="kpi-total-km-sub">-</div></div>
<div class="kpi-card"><span class="icon">🏆</span><div class="kpi-label">Distanza massima</div><div class="kpi-value" id="kpi-max-dist">-</div><div class="kpi-sub" id="kpi-max-dist-sub">-</div></div>
<div class="kpi-card"><span class="icon">⚡</span><div class="kpi-label">Ritmo medio</div><div class="kpi-value" id="kpi-pace">-</div><div class="kpi-sub" id="kpi-pace-sub">-</div></div>
<div class="kpi-card"><span class="icon">❤️</span><div class="kpi-label">BPM medio</div><div class="kpi-value" id="kpi-bpm">-</div><div class="kpi-sub" id="kpi-bpm-sub">-</div></div>
<div class="kpi-card"><span class="icon">🔄</span><div class="kpi-label">Cadenza media</div><div class="kpi-value" id="kpi-cad">-</div><div class="kpi-sub">passi/min</div></div>
<div class="kpi-card"><span class="icon">🥇</span><div class="kpi-label">Best ritmo</div><div class="kpi-value" id="kpi-best-pace">-</div><div class="kpi-sub" id="kpi-best-pace-sub">-</div></div>
</section>
<!-- CHARTS ROW 1 -->
<div class="chart-grid-2">
<div class="chart-card">
<h3>Distanza per corsa</h3>
<div class="chart-sub">km percorsi per ogni uscita</div>
<canvas id="chart-dist"></canvas>
</div>
<div class="chart-card">
<h3>Ritmo (min/km)</h3>
<div class="chart-sub">andamento nel tempo - valori più bassi = più veloce</div>
<canvas id="chart-pace"></canvas>
</div>
</div>
<!-- CHARTS ROW 2 -->
<div class="chart-grid-2">
<div class="chart-card">
<h3>Km mensili</h3>
<div class="chart-sub">volume totale per mese</div>
<canvas id="chart-monthly-km"></canvas>
</div>
<div class="chart-card">
<h3>Battito cardiaco medio</h3>
<div class="chart-sub">BPM per ogni corsa</div>
<canvas id="chart-bpm"></canvas>
</div>
</div>
<!-- CHARTS ROW 3 -->
<div class="chart-grid-3">
<div class="chart-card">
<h3>Cadenza per corsa</h3>
<div class="chart-sub">passi/min</div>
<canvas id="chart-cadenza"></canvas>
</div>
<div class="chart-card">
<h3>Durata per corsa</h3>
<div class="chart-sub">minuti</div>
<canvas id="chart-duration"></canvas>
</div>
<div class="chart-card">
<h3>Corse per mese</h3>
<div class="chart-sub">frequenza mensile</div>
<canvas id="chart-count"></canvas>
</div>
</div>
<!-- SCATTER: Distanza vs Ritmo -->
<div class="chart-grid-2">
<div class="chart-card">
<h3>Distanza vs Ritmo</h3>
<div class="chart-sub">ogni punto = una corsa. Zona verde = ritmo sotto 6:30</div>
<canvas id="chart-scatter"></canvas>
</div>
<div class="chart-card">
<h3>BPM vs Ritmo</h3>
<div class="chart-sub">correlazione battito - velocità</div>
<canvas id="chart-scatter-bpm"></canvas>
</div>
</div>
<!-- HEATMAP -->
<div class="chart-card" style="margin-bottom: var(--gap);">
<h3>Mappa attività settimanale</h3>
<div class="chart-sub">ogni cella = un giorno. Colore più scuro = più km</div>
<div class="heatmap-row" id="heatmap"></div>
</div>
<!-- TABLE -->
<div class="table-card">
<h3>Storico corse</h3>
<div class="chart-sub">clicca sulle intestazioni per ordinare</div>
<table class="data-table" id="runs-table">
<thead>
<tr>
<th onclick="dash.sortTable('data')">Data ↕</th>
<th onclick="dash.sortTable('distanza')">Dist. km ↕</th>
<th onclick="dash.sortTable('durata_sec')">Durata ↕</th>
<th onclick="dash.sortTable('ritmo_sec')">Ritmo ↕</th>
<th onclick="dash.sortTable('cadenza')">Cadenza ↕</th>
<th onclick="dash.sortTable('battito')">BPM ↕</th>
<th>Note</th>
</tr>
</thead>
<tbody id="table-body"></tbody>
</table>
</div>
<div class="footer">
Dashboard generata il 2026-03-12 · Dati: Corsa Statistiche.numbers · <span id="filtered-count"></span>
</div>
</div>
<script>
// ── DATI INCORPORATI ──────────────────────────────────────────────────────────
const RAW_DATA = [{"data": "2025-09-19", "durata_str": "0:28:13", "durata_sec": 1693.0, "distanza": 3.79, "ritmo_sec": 446.701847, "ritmo_str": "7:26", "cadenza": 161.0, "battito": 129.0, "note": ""}, {"data": "2025-09-20", "durata_str": "0:27:50", "durata_sec": 1670.0, "distanza": 3.85, "ritmo_sec": 433.766234, "ritmo_str": "7:13", "cadenza": 163.0, "battito": 128.0, "note": ""}, {"data": "2025-09-22", "durata_str": "0:27:32", "durata_sec": 1652.0, "distanza": 3.93, "ritmo_sec": 420.356234, "ritmo_str": "7:00", "cadenza": 160.0, "battito": 128.0, "note": ""}, {"data": "2025-09-24", "durata_str": "0:26:51", "durata_sec": 1611.0, "distanza": 3.98, "ritmo_sec": 404.773869, "ritmo_str": "6:44", "cadenza": 164.0, "battito": 124.0, "note": ""}, {"data": "2025-09-26", "durata_str": "0:25:51", "durata_sec": 1551.0, "distanza": 3.95, "ritmo_sec": 392.658228, "ritmo_str": "6:32", "cadenza": 167.0, "battito": 128.0, "note": ""}, {"data": "2025-09-28", "durata_str": "0:39:13", "durata_sec": 2353.0, "distanza": 5.76, "ritmo_sec": 408.506944, "ritmo_str": "6:48", "cadenza": 170.0, "battito": 131.0, "note": ""}, {"data": "2025-10-03", "durata_str": "0:32:07", "durata_sec": 1927.0, "distanza": 4.63, "ritmo_sec": 416.198704, "ritmo_str": "6:56", "cadenza": 163.0, "battito": 130.0, "note": ""}, {"data": "2025-10-05", "durata_str": "0:37:01", "durata_sec": 2221.0, "distanza": 5.73, "ritmo_sec": 387.609075, "ritmo_str": "6:27", "cadenza": 171.0, "battito": 141.0, "note": ""}, {"data": "2025-10-07", "durata_str": "0:34:10", "durata_sec": 2050.0, "distanza": 4.78, "ritmo_sec": 428.870293, "ritmo_str": "7:08", "cadenza": 164.0, "battito": 127.0, "note": ""}, {"data": "2025-10-08", "durata_str": "0:39:25", "durata_sec": 2365.0, "distanza": 5.62, "ritmo_sec": 420.818505, "ritmo_str": "7:00", "cadenza": 167.0, "battito": 128.0, "note": ""}, {"data": "2025-10-11", "durata_str": "0:58:20", "durata_sec": 3500.0, "distanza": 8.13, "ritmo_sec": 430.504305, "ritmo_str": "7:10", "cadenza": 168.0, "battito": 130.0, "note": ""}, {"data": "2025-10-14", "durata_str": "0:32:19", "durata_sec": 1939.0, "distanza": 4.71, "ritmo_sec": 411.677282, "ritmo_str": "6:51", "cadenza": 167.0, "battito": 127.0, "note": ""}, {"data": "2025-10-17", "durata_str": "0:31:36", "durata_sec": 1896.0, "distanza": 4.68, "ritmo_sec": 405.128205, "ritmo_str": "6:45", "cadenza": 168.0, "battito": 127.0, "note": ""}, {"data": "2025-10-18", "durata_str": "0:58:01", "durata_sec": 3481.0, "distanza": 8.05, "ritmo_sec": 432.42236, "ritmo_str": "7:12", "cadenza": 169.0, "battito": 131.0, "note": ""}, {"data": "2025-10-21", "durata_str": "0:39:35", "durata_sec": 2375.0, "distanza": 5.52, "ritmo_sec": 430.253623, "ritmo_str": "7:10", "cadenza": 168.0, "battito": 125.0, "note": ""}, {"data": "2025-10-22", "durata_str": "0:27:03", "durata_sec": 1623.0, "distanza": 4.31, "ritmo_sec": 376.566125, "ritmo_str": "6:16", "cadenza": 167.0, "battito": 133.0, "note": ""}, {"data": "2025-10-28", "durata_str": "0:35:40", "durata_sec": 2140.0, "distanza": 5.84, "ritmo_sec": 366.438356, "ritmo_str": "6:06", "cadenza": 171.0, "battito": 137.0, "note": ""}, {"data": "2025-10-31", "durata_str": "0:29:03", "durata_sec": 1743.0, "distanza": 4.73, "ritmo_sec": 368.498943, "ritmo_str": "6:08", "cadenza": 172.0, "battito": 139.0, "note": ""}, {"data": "2025-11-02", "durata_str": "1:13:29", "durata_sec": 4409.0, "distanza": 10.41, "ritmo_sec": 423.535062, "ritmo_str": "7:03", "cadenza": 168.0, "battito": 131.0, "note": "Donato"}, {"data": "2025-11-04", "durata_str": "0:39:52", "durata_sec": 2392.0, "distanza": 5.88, "ritmo_sec": 406.802721, "ritmo_str": "6:46", "cadenza": 167.0, "battito": 125.0, "note": ""}, {"data": "2025-11-07", "durata_str": "0:30:30", "durata_sec": 1830.0, "distanza": 4.73, "ritmo_sec": 386.892178, "ritmo_str": "6:26", "cadenza": 168.0, "battito": 127.0, "note": ""}, {"data": "2025-11-10", "durata_str": "1:18:05", "durata_sec": 4685.0, "distanza": 10.44, "ritmo_sec": 448.754789, "ritmo_str": "7:28", "cadenza": 165.0, "battito": 126.0, "note": "Donato"}, {"data": "2025-11-12", "durata_str": "0:43:29", "durata_sec": 2609.0, "distanza": 6.24, "ritmo_sec": 418.108974, "ritmo_str": "6:58", "cadenza": 164.0, "battito": 128.0, "note": ""}, {"data": "2025-11-15", "durata_str": "1:41:43", "durata_sec": 6103.0, "distanza": 13.34, "ritmo_sec": 457.496252, "ritmo_str": "7:37", "cadenza": 167.0, "battito": 128.0, "note": "Villa Chigi"}, {"data": "2025-11-18", "durata_str": "0:41:07", "durata_sec": 2467.0, "distanza": 5.98, "ritmo_sec": 412.541806, "ritmo_str": "6:52", "cadenza": 168.0, "battito": 132.0, "note": ""}, {"data": "2025-11-21", "durata_str": "1:13:18", "durata_sec": 4398.0, "distanza": 10.27, "ritmo_sec": 428.237585, "ritmo_str": "7:08", "cadenza": 170.0, "battito": 134.0, "note": "Donato"}, {"data": "2025-11-27", "durata_str": "0:28:24", "durata_sec": 1704.0, "distanza": 4.69, "ritmo_sec": 363.326226, "ritmo_str": "6:03", "cadenza": 173.0, "battito": 135.0, "note": ""}, {"data": "2025-11-28", "durata_str": "0:38:05", "durata_sec": 2285.0, "distanza": 5.97, "ritmo_sec": 382.747069, "ritmo_str": "6:22", "cadenza": 171.0, "battito": 131.0, "note": ""}, {"data": "2025-11-30", "durata_str": "1:43:05", "durata_sec": 6185.0, "distanza": 13.35, "ritmo_sec": 463.29588, "ritmo_str": "7:43", "cadenza": 169.0, "battito": 128.0, "note": "Villa Chigi"}, {"data": "2025-12-02", "durata_str": "0:32:47", "durata_sec": 1967.0, "distanza": 4.71, "ritmo_sec": 417.622081, "ritmo_str": "6:57", "cadenza": 171.0, "battito": 129.0, "note": ""}, {"data": "2025-12-03", "durata_str": "0:43:24", "durata_sec": 2604.0, "distanza": 6.21, "ritmo_sec": 419.323671, "ritmo_str": "6:59", "cadenza": 167.0, "battito": 136.0, "note": "Gardens"}, {"data": "2025-12-04", "durata_str": "0:31:39", "durata_sec": 1899.0, "distanza": 4.65, "ritmo_sec": 408.387097, "ritmo_str": "6:48", "cadenza": 170.0, "battito": 133.0, "note": ""}, {"data": "2025-12-09", "durata_str": "0:27:55", "durata_sec": 1675.0, "distanza": 4.67, "ritmo_sec": 358.672377, "ritmo_str": "5:58", "cadenza": 172.0, "battito": 135.0, "note": ""}, {"data": "2025-12-10", "durata_str": "0:35:24", "durata_sec": 2124.0, "distanza": 5.91, "ritmo_sec": 359.390863, "ritmo_str": "5:59", "cadenza": 175.0, "battito": 138.0, "note": ""}, {"data": "2025-12-11", "durata_str": "0:26:16", "durata_sec": 1576.0, "distanza": 4.71, "ritmo_sec": 334.607219, "ritmo_str": "5:34", "cadenza": 177.0, "battito": 150.0, "note": ""}, {"data": "2025-12-17", "durata_str": "0:40:55", "durata_sec": 2455.0, "distanza": 6.26, "ritmo_sec": 392.172524, "ritmo_str": "6:32", "cadenza": 169.0, "battito": 131.0, "note": "Gardens"}, {"data": "2025-12-18", "durata_str": "0:40:57", "durata_sec": 2457.0, "distanza": 6.16, "ritmo_sec": 398.863636, "ritmo_str": "6:38", "cadenza": 168.0, "battito": 130.0, "note": "Gardens"}, {"data": "2025-12-26", "durata_str": "0:39:43", "durata_sec": 2383.0, "distanza": 6.32, "ritmo_sec": 377.056962, "ritmo_str": "6:17", "cadenza": 171.0, "battito": 138.0, "note": "Gardens"}, {"data": "2025-12-28", "durata_str": "1:12:43", "durata_sec": 4363.0, "distanza": 10.41, "ritmo_sec": 419.116234, "ritmo_str": "6:59", "cadenza": 173.0, "battito": 135.0, "note": "Donato"}, {"data": "2026-01-02", "durata_str": "0:27:50", "durata_sec": 1670.0, "distanza": 4.68, "ritmo_sec": 356.837607, "ritmo_str": "5:56", "cadenza": 177.0, "battito": 153.0, "note": ""}, {"data": "2026-01-04", "durata_str": "1:10:18", "durata_sec": 4218.0, "distanza": 10.42, "ritmo_sec": 404.798464, "ritmo_str": "6:44", "cadenza": 174.0, "battito": 134.0, "note": "Donato"}, {"data": "2026-01-08", "durata_str": "0:30:58", "durata_sec": 1858.0, "distanza": 4.73, "ritmo_sec": 392.811839, "ritmo_str": "6:32", "cadenza": 174.0, "battito": 144.0, "note": ""}, {"data": "2026-01-09", "durata_str": "0:29:51", "durata_sec": 1791.0, "distanza": 4.69, "ritmo_sec": 381.876333, "ritmo_str": "6:21", "cadenza": 175.0, "battito": 147.0, "note": ""}, {"data": "2026-01-13", "durata_str": "0:37:41", "durata_sec": 2261.0, "distanza": 6.0, "ritmo_sec": 376.833333, "ritmo_str": "6:16", "cadenza": 175.0, "battito": 134.0, "note": ""}, {"data": "2026-01-15", "durata_str": "0:39:16", "durata_sec": 2356.0, "distanza": 5.98, "ritmo_sec": 393.979933, "ritmo_str": "6:33", "cadenza": 174.0, "battito": 138.0, "note": ""}, {"data": "2026-01-20", "durata_str": "0:39:30", "durata_sec": 2370.0, "distanza": 5.97, "ritmo_sec": 396.984925, "ritmo_str": "6:36", "cadenza": 175.0, "battito": 137.0, "note": ""}, {"data": "2026-01-26", "durata_str": "0:40:48", "durata_sec": 2448.0, "distanza": 6.23, "ritmo_sec": 392.9374, "ritmo_str": "6:32", "cadenza": 173.0, "battito": 147.0, "note": ""}, {"data": "2026-02-01", "durata_str": "1:16:17", "durata_sec": 4577.0, "distanza": 10.62, "ritmo_sec": 430.979284, "ritmo_str": "7:10", "cadenza": 174.0, "battito": 134.0, "note": "Donato"}, {"data": "2026-02-03", "durata_str": "0:33:26", "durata_sec": 2006.0, "distanza": 5.17, "ritmo_sec": 388.007737, "ritmo_str": "6:28", "cadenza": 172.0, "battito": 129.0, "note": ""}, {"data": "2026-02-10", "durata_str": "0:32:07", "durata_sec": 1927.0, "distanza": 5.08, "ritmo_sec": 379.330709, "ritmo_str": "6:19", "cadenza": 173.0, "battito": 125.0, "note": ""}, {"data": "2026-02-12", "durata_str": "0:30:07", "durata_sec": 1807.0, "distanza": 4.97, "ritmo_sec": 363.581489, "ritmo_str": "6:03", "cadenza": 176.0, "battito": 143.0, "note": ""}, {"data": "2026-02-13", "durata_str": "0:37:07", "durata_sec": 2227.0, "distanza": 5.85, "ritmo_sec": 380.683761, "ritmo_str": "6:20", "cadenza": 174.0, "battito": 146.0, "note": ""}, {"data": "2026-02-17", "durata_str": "0:35:22", "durata_sec": 2122.0, "distanza": 5.87, "ritmo_sec": 361.499148, "ritmo_str": "6:01", "cadenza": 175.0, "battito": 134.0, "note": ""}, {"data": "2026-02-18", "durata_str": "1:10:55", "durata_sec": 4255.0, "distanza": 10.37, "ritmo_sec": 410.318226, "ritmo_str": "6:50", "cadenza": 173.0, "battito": 132.0, "note": "Donato"}, {"data": "2026-02-20", "durata_str": "0:30:35", "durata_sec": 1835.0, "distanza": 5.12, "ritmo_sec": 358.398438, "ritmo_str": "5:58", "cadenza": 175.0, "battito": 147.0, "note": ""}, {"data": "2026-02-24", "durata_str": "0:30:34", "durata_sec": 1834.0, "distanza": 5.18, "ritmo_sec": 354.054054, "ritmo_str": "5:54", "cadenza": 176.0, "battito": 139.0, "note": ""}, {"data": "2026-02-26", "durata_str": "0:34:31", "durata_sec": 2071.0, "distanza": 5.95, "ritmo_sec": 348.067227, "ritmo_str": "5:48", "cadenza": 175.0, "battito": 148.0, "note": ""}, {"data": "2026-02-27", "durata_str": "0:28:39", "durata_sec": 1719.0, "distanza": 5.12, "ritmo_sec": 335.742188, "ritmo_str": "5:35", "cadenza": 176.0, "battito": 140.0, "note": ""}, {"data": "2026-03-04", "durata_str": "0:27:15", "durata_sec": 1635.0, "distanza": 4.89, "ritmo_sec": 334.355828, "ritmo_str": "5:34", "cadenza": 176.0, "battito": 149.0, "note": ""}, {"data": "2026-03-06", "durata_str": "0:29:03", "durata_sec": 1743.0, "distanza": 5.01, "ritmo_sec": 347.904192, "ritmo_str": "5:47", "cadenza": 175.0, "battito": 134.0, "note": ""}, {"data": "2026-03-08", "durata_str": "1:07:53", "durata_sec": 4073.0, "distanza": 10.23, "ritmo_sec": 398.142717, "ritmo_str": "6:38", "cadenza": 175.0, "battito": 138.0, "note": "Donato - Migliore tempo su 10KM"}, {"data": "2026-03-12", "durata_str": "0:29:28", "durata_sec": 1768.0, "distanza": 4.69, "ritmo_sec": 376.972281, "ritmo_str": "6:16", "cadenza": 174.0, "battito": 131.0, "note": ""}];
// ── HELPERS ──────────────────────────────────────────────────────────────────
const COLORS = ['#4C72B0','#DD8452','#55A868','#C44E52','#8172B3','#937860','#DA8BC3','#8C8C8C','#CCB974','#64B5CD'];
const ACCENT = '#e94560';
const ACCENT2 = '#4C72B0';
function secsToPace(s) {
if (!s) return '-';
const m = Math.floor(s / 60);
const sec = Math.round(s % 60);
return `${m}:${String(sec).padStart(2,'0')}`;
}
function secsToTime(s) {
if (!s) return '-';
const h = Math.floor(s / 3600);
const m = Math.floor((s % 3600) / 60);
const sec = Math.round(s % 60);
if (h > 0) return `${h}:${String(m).padStart(2,'0')}:${String(sec).padStart(2,'0')}`;
return `${m}:${String(sec).padStart(2,'0')}`;
}
function fmtDate(d) {
const p = d.split('-');
return `${p[2]}/${p[1]}/${p[0].slice(2)}`;
}
function monthLabel(d) {
const months = ['Gen','Feb','Mar','Apr','Mag','Giu','Lug','Ago','Set','Ott','Nov','Dic'];
const p = d.split('-');
return `${months[parseInt(p[1])-1]} ${p[0].slice(2)}`;
}
function avg(arr) { return arr.length ? arr.reduce((a,b) => a+b, 0) / arr.length : 0; }
function paceClass(s) {
if (s <= 370) return 'pace-good';
if (s <= 420) return 'pace-ok';
return 'pace-slow';
}
// ── DASHBOARD CLASS ───────────────────────────────────────────────────────────
class Dashboard {
constructor(data) {
this.rawData = data;
this.filtered = [...data];
this.charts = {};
this.sortCol = 'data';
this.sortDir = 'desc';
this.init();
}
init() {
this.populateFilters();
this.render();
document.getElementById('last-update').textContent = fmtDate(this.rawData[this.rawData.length - 1].data);
}
populateFilters() {
const months = [...new Set(this.rawData.map(r => r.data.slice(0,7)))].sort();
const sel = document.getElementById('filter-month');
const monthNames = ['Gen','Feb','Mar','Apr','Mag','Giu','Lug','Ago','Set','Ott','Nov','Dic'];
months.forEach(m => {
const opt = document.createElement('option');
opt.value = m;
const [y, mo] = m.split('-');
opt.textContent = `${monthNames[parseInt(mo)-1]} ${y}`;
sel.appendChild(opt);
});
}
applyFilters() {
const month = document.getElementById('filter-month').value;
const dist = parseFloat(document.getElementById('filter-dist').value);
this.filtered = this.rawData.filter(r => {
if (month !== 'all' && !r.data.startsWith(month)) return false;
if (dist > 0 && r.distanza < dist) return false;
return true;
});
this.render();
}
resetFilters() {
document.getElementById('filter-month').value = 'all';
document.getElementById('filter-dist').value = '0';
this.filtered = [...this.rawData];
this.render();
}
render() {
this.renderKPIs();
this.renderCharts();
this.renderTable();
this.renderHeatmap();
document.getElementById('filtered-count').textContent = `${this.filtered.length} corse visualizzate`;
}
renderKPIs() {
const d = this.filtered;
const totalKm = d.reduce((s, r) => s + (r.distanza || 0), 0);
const paces = d.filter(r => r.ritmo_sec).map(r => r.ritmo_sec);
const bpms = d.filter(r => r.battito).map(r => r.battito);
const cads = d.filter(r => r.cadenza).map(r => r.cadenza);
const bestPace = paces.length ? Math.min(...paces) : null;
const bestPaceRun = bestPace ? d.find(r => Math.abs(r.ritmo_sec - bestPace) < 0.01) : null;
document.getElementById('kpi-total-km').textContent = totalKm.toFixed(1);
document.getElementById('kpi-total-km-sub').textContent = `media ${(totalKm / Math.max(d.length, 1)).toFixed(1)} km/corsa`;
const maxDist = d.length ? Math.max(...d.filter(r => r.distanza).map(r => r.distanza)) : 0;
const maxDistRun = d.find(r => r.distanza === maxDist);
document.getElementById('kpi-max-dist').textContent = maxDist.toFixed(2) + ' km';
document.getElementById('kpi-max-dist-sub').textContent = maxDistRun ? fmtDate(maxDistRun.data) : '';
document.getElementById('kpi-pace').textContent = secsToPace(avg(paces));
document.getElementById('kpi-pace-sub').textContent = 'min/km';
document.getElementById('kpi-bpm').textContent = bpms.length ? Math.round(avg(bpms)) : '-';
document.getElementById('kpi-bpm-sub').textContent = `min ${Math.min(...bpms)} / max ${Math.max(...bpms)}`;
document.getElementById('kpi-cad').textContent = cads.length ? Math.round(avg(cads)) : '-';
document.getElementById('kpi-best-pace').textContent = bestPace ? secsToPace(bestPace) : '-';
document.getElementById('kpi-best-pace-sub').textContent = bestPaceRun ? fmtDate(bestPaceRun.data) : '';
}
renderCharts() {
const d = this.filtered;
const labels = d.map(r => fmtDate(r.data));
this._updateChart('chart-dist', {
type: 'bar',
data: {
labels,
datasets: [{
label: 'Distanza (km)',
data: d.map(r => r.distanza),
backgroundColor: '#5ba3c9CC',
borderColor: '#5ba3c9',
borderWidth: 0,
borderRadius: 3,
}]
},
options: {
responsive: true, maintainAspectRatio: false, animation: false,
plugins: { legend: { display: false }, tooltip: { callbacks: { label: ctx => `${ctx.parsed.y} km - ritmo ${d[ctx.dataIndex].ritmo_str}` } } },
scales: { y: { beginAtZero: true, ticks: { callback: v => v + ' km' } }, x: { ticks: { maxTicksLimit: 10 } } }
}
});
// Pace chart (invert y: lower = faster = better = top)
this._updateChart('chart-pace', {
type: 'line',
data: {
labels,
datasets: [{
label: 'Ritmo (min/km)',
data: d.map(r => r.ritmo_sec ? +(r.ritmo_sec/60).toFixed(3) : null),
borderColor: ACCENT,
backgroundColor: ACCENT + '20',
borderWidth: 2,
fill: true,
tension: 0.3,
pointRadius: 3,
pointHoverRadius: 6,
spanGaps: true,
}]
},
options: {
responsive: true, maintainAspectRatio: false, animation: false,
plugins: {
legend: { display: false },
tooltip: { callbacks: { label: ctx => {
const run = d[ctx.dataIndex];
return `Ritmo: ${run.ritmo_str} min/km - ${run.distanza} km`;
}}}
},
scales: {
y: {
reverse: true,
ticks: { callback: v => {
const m = Math.floor(v);
const s = Math.round((v - m) * 60);
return `${m}:${String(s).padStart(2,'0')}`;
}}
},
x: { ticks: { maxTicksLimit: 10 } }
}
}
});
// Monthly km
const months = [...new Set(this.rawData.map(r => r.data.slice(0,7)))].sort();
const monthKm = months.map(m => {
const runs = d.filter(r => r.data.startsWith(m));
return runs.reduce((s, r) => s + (r.distanza || 0), 0);
});
const monthLabels = months.map(m => { const p = m.split('-'); return ['Gen','Feb','Mar','Apr','Mag','Giu','Lug','Ago','Set','Ott','Nov','Dic'][parseInt(p[1])-1] + ' ' + p[0].slice(2); });
this._updateChart('chart-monthly-km', {
type: 'bar',
data: {
labels: monthLabels,
datasets: [{
label: 'Km',
data: monthKm,
backgroundColor: COLORS.map(c => c + 'CC'),
borderColor: COLORS,
borderWidth: 1,
borderRadius: 4,
}]
},
options: {
responsive: true, maintainAspectRatio: false, animation: false,
plugins: { legend: { display: false }, tooltip: { callbacks: { label: ctx => `${ctx.parsed.y.toFixed(1)} km` } } },
scales: { y: { beginAtZero: true, ticks: { callback: v => v + ' km' } } }
}
});
// BPM
this._updateChart('chart-bpm', {
type: 'line',
data: {
labels,
datasets: [{
label: 'BPM medio',
data: d.map(r => r.battito),
borderColor: '#C44E52',
backgroundColor: '#C44E5215',
borderWidth: 2,
fill: true,
tension: 0.3,
pointRadius: 3,
pointHoverRadius: 6,
spanGaps: true,
}]
},
options: {
responsive: true, maintainAspectRatio: false, animation: false,
plugins: { legend: { display: false }, tooltip: { callbacks: { label: ctx => `${ctx.parsed.y} bpm - ${d[ctx.dataIndex].distanza} km` } } },
scales: {
y: { min: 120, ticks: { callback: v => v + ' bpm' } },
x: { ticks: { maxTicksLimit: 10 } }
}
}
});
// Cadenza
this._updateChart('chart-cadenza', {
type: 'line',
data: {
labels,
datasets: [{
label: 'Cadenza',
data: d.map(r => r.cadenza),
borderColor: '#8172B3',
backgroundColor: '#8172B315',
borderWidth: 2,
fill: true,
tension: 0.3,
pointRadius: 2,
spanGaps: true,
}]
},
options: {
responsive: true, maintainAspectRatio: false, animation: false,
plugins: { legend: { display: false } },
scales: {
y: { min: 155, ticks: { callback: v => v + ' spm' } },
x: { ticks: { maxTicksLimit: 8 } }
}
}
});
// Durata
this._updateChart('chart-duration', {
type: 'bar',
data: {
labels,
datasets: [{
label: 'Durata (min)',
data: d.map(r => r.durata_sec ? +(r.durata_sec/60).toFixed(1) : null),
backgroundColor: '#937860CC',
borderColor: '#937860',
borderWidth: 1,
borderRadius: 3,
}]
},
options: {
responsive: true, maintainAspectRatio: false, animation: false,
plugins: { legend: { display: false }, tooltip: { callbacks: { label: ctx => `${secsToTime(d[ctx.dataIndex].durata_sec)}` } } },
scales: { y: { beginAtZero: false, ticks: { callback: v => v + ' min' } }, x: { ticks: { maxTicksLimit: 8 } } }
}
});
// Count per month
const monthCount = months.map(m => d.filter(r => r.data.startsWith(m)).length);
this._updateChart('chart-count', {
type: 'bar',
data: {
labels: monthLabels,
datasets: [{
label: 'Corse',
data: monthCount,
backgroundColor: '#55A868CC',
borderColor: '#55A868',
borderWidth: 1,
borderRadius: 4,
}]
},
options: {
responsive: true, maintainAspectRatio: false, animation: false,
plugins: { legend: { display: false } },
scales: { y: { beginAtZero: true, ticks: { stepSize: 1 } } }
}
});
// Scatter: dist vs pace
const scatterData = d.filter(r => r.distanza && r.ritmo_sec).map(r => ({
x: r.distanza,
y: +(r.ritmo_sec/60).toFixed(3),
label: `${fmtDate(r.data)} - ${r.distanza}km @ ${r.ritmo_str}`
}));
this._updateChart('chart-scatter', {
type: 'scatter',
data: {
datasets: [{
label: 'Corse',
data: scatterData,
backgroundColor: scatterData.map(p => p.y <= 6.5 ? '#55A86899' : p.y <= 7.0 ? '#DD845299' : '#C44E5299'),
pointRadius: 5,
pointHoverRadius: 8,
}]
},
options: {
responsive: true, maintainAspectRatio: false, animation: false,
plugins: {
legend: { display: false },
tooltip: { callbacks: { label: ctx => ctx.raw.label } }
},
scales: {
x: { title: { display: true, text: 'Distanza (km)' } },
y: {
reverse: true,
title: { display: true, text: 'Ritmo (min/km)' },
ticks: { callback: v => { const m = Math.floor(v); const s = Math.round((v-m)*60); return `${m}:${String(s).padStart(2,'0')}`; } }
}
}
}
});
// Scatter BPM vs pace
const scatterBpm = d.filter(r => r.battito && r.ritmo_sec).map(r => ({
x: r.battito,
y: +(r.ritmo_sec/60).toFixed(3),
label: `${fmtDate(r.data)} - ${r.battito}bpm @ ${r.ritmo_str}`
}));
this._updateChart('chart-scatter-bpm', {
type: 'scatter',
data: {
datasets: [{
label: 'BPM vs Ritmo',
data: scatterBpm,
backgroundColor: ACCENT2 + '88',
pointRadius: 5,
pointHoverRadius: 8,
}]
},
options: {
responsive: true, maintainAspectRatio: false, animation: false,
plugins: {
legend: { display: false },
tooltip: { callbacks: { label: ctx => ctx.raw.label } }
},
scales: {
x: { title: { display: true, text: 'BPM' } },
y: {
reverse: true,
title: { display: true, text: 'Ritmo (min/km)' },
ticks: { callback: v => { const m = Math.floor(v); const s = Math.round((v-m)*60); return `${m}:${String(s).padStart(2,'0')}`; } }
}
}
}
});
}
_updateChart(id, config) {
const canvas = document.getElementById(id);
if (this.charts[id]) {
this.charts[id].destroy();
}
this.charts[id] = new Chart(canvas.getContext('2d'), config);
}
renderTable() {
const sorted = [...this.filtered].sort((a, b) => {
const av = a[this.sortCol], bv = b[this.sortCol];
if (av == null && bv == null) return 0;
if (av == null) return 1;
if (bv == null) return -1;
const cmp = av < bv ? -1 : av > bv ? 1 : 0;
return this.sortDir === 'asc' ? cmp : -cmp;
});
const tbody = document.getElementById('table-body');
tbody.innerHTML = sorted.map(r => `
<tr>
<td><strong>${fmtDate(r.data)}</strong></td>
<td>${r.distanza ? r.distanza.toFixed(2) : '-'} km</td>
<td>${secsToTime(r.durata_sec)}</td>
<td><span class="${paceClass(r.ritmo_sec)}">${r.ritmo_str || '-'}</span></td>
<td>${r.cadenza ? Math.round(r.cadenza) : '-'}</td>
<td>${r.battito ? Math.round(r.battito) : '-'}</td>
<td>${r.note ? `<span class="note-tag">${r.note}</span>` : ''}</td>
</tr>
`).join('');
}
sortTable(col) {
if (this.sortCol === col) {
this.sortDir = this.sortDir === 'asc' ? 'desc' : 'asc';
} else {
this.sortCol = col;
this.sortDir = 'desc';
}
this.renderTable();
// Update header arrows
document.querySelectorAll('.data-table thead th').forEach(th => {
const t = th.textContent.replace(' ▲','').replace(' ▼','').replace(' ↕','');
th.textContent = t + ' ↕';
});
}
renderHeatmap() {
const container = document.getElementById('heatmap');
const runMap = {};
this.rawData.forEach(r => { runMap[r.data] = r.distanza; });
// Generate all days from first run to today
const startDate = new Date(this.rawData[0].data);
const endDate = new Date('2026-03-12');
const cells = [];
let cur = new Date(startDate);
while (cur <= endDate) {
const key = cur.toISOString().slice(0,10);
cells.push({ date: key, km: runMap[key] || 0 });
cur.setDate(cur.getDate() + 1);
}
const maxKm = Math.max(...cells.map(c => c.km));
container.innerHTML = cells.map(c => {
let level = 0;
const active = this.filtered.some(r => r.data === c.date);
if (c.km > 0) {
const ratio = c.km / maxKm;
if (ratio < 0.2) level = 1;
else if (ratio < 0.4) level = 2;
else if (ratio < 0.7) level = 3;
else level = 4;
}
const style = !active && c.km > 0 ? 'opacity:0.3;' : '';
const title = c.km > 0 ? `${c.date}: ${c.km.toFixed(1)} km` : c.date;
return `<div class="heat-cell level-${level}" title="${title}" style="${style}"></div>`;
}).join('');
}
}
// ── INIT ──────────────────────────────────────────────────────────────────────
const dash = new Dashboard(RAW_DATA);
</script>
</body>
</html>