dashboard_docentes_UFOB_2025.html
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12/06/2026 08h20
dashboard_docentes_UFOB_2025.html
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<!DOCTYPE html>
<html lang="pt-BR">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Dashboard – Avaliação dos Docentes | UFOB 2025.2</title>
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/4.4.1/chart.umd.min.js"></script>
<style>
@import url('https://fonts.googleapis.com/css2?family=Montserrat:wght@400;600;700;800&family=Source+Sans+3:wght@400;600&display=swap');
:root{--blue:#003366;--orange:#E8641A;--orange-l:#F5A05A;--d1:#1976D2;--d3:#2E7D32;--d4:#7B1FA2;
--bg:#F4F6FA;--white:#fff;--g100:#F0F2F7;--g200:#DDE2EE;--g500:#8898AA;--g700:#3D4B63;--text:#1A2540;}
*{margin:0;padding:0;box-sizing:border-box}
body{font-family:'Source Sans 3',sans-serif;background:var(--bg);color:var(--text);min-height:100vh}
.header{background:var(--blue);display:flex;align-items:stretch;min-height:78px}
.ha{width:8px;background:linear-gradient(180deg,var(--orange) 0%,var(--orange-l) 100%);flex-shrink:0}
.hc{flex:1;display:flex;align-items:center;justify-content:space-between;padding:0 28px;gap:20px}
.ht{display:flex;flex-direction:column;gap:3px}
.hl{font-family:'Montserrat',sans-serif;font-size:10px;font-weight:700;letter-spacing:3px;text-transform:uppercase;color:var(--orange-l)}
.htt{font-family:'Montserrat',sans-serif;font-size:19px;font-weight:800;color:#fff;line-height:1.2}
.hm{text-align:right;color:rgba(255,255,255,.5);font-size:13px}
.hm strong{color:rgba(255,255,255,.85);font-weight:600}
.tbar{background:var(--white);border-bottom:1px solid var(--g200);padding:10px 28px;display:flex;align-items:center;gap:16px}
.tlabel{font-family:'Montserrat',sans-serif;font-size:10px;font-weight:700;letter-spacing:2px;text-transform:uppercase;color:var(--g500)}
.tval{font-family:'Montserrat',sans-serif;font-size:30px;font-weight:800;color:var(--blue);line-height:1}
.tsub{font-size:12px;color:var(--g500);margin-top:2px}
.fbar{background:var(--white);border-bottom:2px solid var(--g200);padding:12px 28px;display:flex;align-items:flex-end;gap:16px;flex-wrap:wrap}
.fg{display:flex;flex-direction:column;gap:4px}
.fl{font-family:'Montserrat',sans-serif;font-size:9px;font-weight:700;letter-spacing:2px;text-transform:uppercase;color:var(--g500)}
.fs{appearance:none;background:var(--g100);border:1.5px solid var(--g200);border-radius:6px;padding:7px 32px 7px 11px;font-family:'Source Sans 3',sans-serif;font-size:13px;font-weight:600;color:var(--text);cursor:pointer;min-width:210px;transition:border-color .2s;background-image:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='12' height='8' viewBox='0 0 12 8'%3E%3Cpath d='M1 1l5 5 5-5' stroke='%238898AA' stroke-width='1.5' fill='none' stroke-linecap='round'/%3E%3C/svg%3E");background-repeat:no-repeat;background-position:right 9px center}
.fs:focus{outline:none;border-color:var(--orange)}
.freset{background:none;border:1.5px solid var(--g200);border-radius:6px;padding:7px 12px;font-family:'Montserrat',sans-serif;font-size:11px;font-weight:700;color:var(--g500);cursor:pointer;transition:all .2s}
.freset:hover{border-color:var(--orange);color:var(--orange)}
.fstats{margin-left:auto}
.schip{background:var(--blue);color:#fff;font-family:'Montserrat',sans-serif;font-size:12px;font-weight:700;padding:7px 15px;border-radius:20px;white-space:nowrap}
.tabs{background:var(--white);padding:0 28px;display:flex;border-bottom:2px solid var(--g200);overflow-x:auto;-ms-overflow-style:none;scrollbar-width:none}
.tabs::-webkit-scrollbar{display:none}
.tab{background:none;border:none;padding:12px 14px 10px;font-family:'Montserrat',sans-serif;font-size:10px;font-weight:700;color:var(--g500);cursor:pointer;border-bottom:3px solid transparent;margin-bottom:-2px;white-space:nowrap;transition:color .15s,border-color .15s;letter-spacing:.3px}
.tab:hover{color:var(--orange)}.tab.active{color:var(--blue);border-bottom-color:var(--orange)}
.dsep{width:1px;background:var(--g200);margin:8px 4px;flex-shrink:0}
.main{padding:24px 28px;max-width:1500px;margin:0 auto}
.page{display:none}.page.active{display:block}
.charts-row{display:grid;grid-template-columns:repeat(3,1fr);gap:20px}
.charts-row-2{display:grid;grid-template-columns:1fr 1fr;gap:20px}
.cc{background:var(--white);border-radius:11px;box-shadow:0 2px 12px rgba(0,51,102,.07);padding:20px 18px 16px;display:flex;flex-direction:column}
.ci{font-family:'Montserrat',sans-serif;font-size:9px;font-weight:700;letter-spacing:2px;text-transform:uppercase;color:var(--orange);margin-bottom:4px}
.ct{font-family:'Montserrat',sans-serif;font-size:11px;font-weight:700;color:var(--blue);text-transform:uppercase;letter-spacing:.2px;line-height:1.35;margin-bottom:14px}
.cw{position:relative;flex:1;min-height:220px}
.cf{display:flex;align-items:center;justify-content:space-between;margin-top:12px;padding-top:10px;border-top:1px solid var(--g100)}
.cavg{font-family:'Montserrat',sans-serif;font-size:12px;font-weight:700;color:var(--blue)}
.cavg span{font-size:20px;color:var(--orange)}
.cna{font-size:11px;color:var(--g500)}.cna strong{color:var(--g700)}
.cnote{font-size:10px;color:var(--g500);margin-top:4px;font-style:italic}
.donut-area{display:flex;align-items:center;justify-content:center;gap:24px;width:100%;flex:1}
.donut-wrap{position:relative;width:200px;height:200px;flex-shrink:0}
.donut-center{position:absolute;top:50%;left:50%;transform:translate(-50%,-50%);display:flex;flex-direction:column;align-items:center;justify-content:center;pointer-events:none}
.d-avg-label{font-family:'Montserrat',sans-serif;font-size:8px;font-weight:700;letter-spacing:1.5px;text-transform:uppercase;color:var(--g500)}
.d-avg-val{font-family:'Montserrat',sans-serif;font-size:26px;font-weight:800;color:var(--blue);line-height:1}
.legend{display:flex;flex-direction:column;gap:7px}
.li{display:flex;align-items:center;gap:8px}
.ld{width:11px;height:11px;border-radius:50%;flex-shrink:0}
.lt{font-family:'Montserrat',sans-serif;font-size:11px;font-weight:700;color:var(--g700)}
.lp{font-family:'Montserrat',sans-serif;font-size:12px;font-weight:800;color:var(--text);margin-left:auto;padding-left:10px}
.ov-grid{display:grid;grid-template-columns:repeat(5,1fr);gap:14px;margin-bottom:20px}
.kpi{background:var(--white);border-radius:10px;box-shadow:0 2px 8px rgba(0,51,102,.06);padding:18px 16px;display:flex;flex-direction:column;gap:5px;border-top:3px solid var(--orange)}
.kl{font-family:'Montserrat',sans-serif;font-size:9px;font-weight:700;letter-spacing:2px;text-transform:uppercase;color:var(--g500)}
.kv{font-family:'Montserrat',sans-serif;font-size:28px;font-weight:800;color:var(--blue);line-height:1}
.ks{font-size:12px;color:var(--g500)}
.sum-wrap{background:var(--white);border-radius:11px;box-shadow:0 2px 12px rgba(0,51,102,.06);padding:20px}
.sum-title{font-family:'Montserrat',sans-serif;font-size:11px;font-weight:700;color:var(--blue);text-transform:uppercase;letter-spacing:.5px;margin-bottom:16px}
.sum-table{width:100%;border-collapse:collapse}
.sum-table th{font-family:'Montserrat',sans-serif;font-size:9px;font-weight:700;letter-spacing:1.5px;text-transform:uppercase;color:var(--g500);text-align:left;padding:7px 10px;background:var(--g100);border-bottom:1px solid var(--g200)}
.sum-table td{padding:9px 10px;font-size:12px;border-bottom:1px solid var(--g100);color:var(--g700)}
.sum-table tr:last-child td{border-bottom:none}.sum-table tr:hover td{background:#fafbfe}
.tdavg{font-family:'Montserrat',sans-serif;font-weight:700;font-size:15px;color:var(--orange)!important}
.bm{width:100%;height:6px;background:var(--g100);border-radius:3px;overflow:hidden}
.bmf{height:100%;background:linear-gradient(90deg,#C4521A 0%,var(--orange-l) 100%);border-radius:3px}
.inn{display:inline-flex;align-items:center;justify-content:center;padding:2px 7px;border-radius:10px;background:var(--blue);color:#fff;font-family:'Montserrat',sans-serif;font-size:9px;font-weight:700;margin-right:8px;flex-shrink:0;white-space:nowrap}
.tdi{display:flex;align-items:center}
.dim-badge{display:inline-flex;align-items:center;padding:2px 8px;border-radius:10px;font-family:'Montserrat',sans-serif;font-size:9px;font-weight:700;margin-right:6px;flex-shrink:0;white-space:nowrap}
.db1{background:#BBDEFB;color:#1565C0}.db2{background:#F8BBD9;color:#880E4F}.db3{background:#C8E6C9;color:#1B5E20}.db4{background:#E1BEE7;color:#4A148C}
@media print{.fbar,.tabs,.tbar{display:none!important}.header{-webkit-print-color-adjust:exact;print-color-adjust:exact}.main{padding:0;max-width:100%}.page{display:block!important}.charts-row,.charts-row-2{break-inside:avoid}.cc{break-inside:avoid;box-shadow:none;border:1px solid #dde}.page{page-break-after:always;padding:12px}.page:last-child{page-break-after:avoid}body{background:white}.ov-grid{grid-template-columns:repeat(5,1fr)}}
@media(max-width:1100px){.charts-row{grid-template-columns:1fr 1fr}}
@media(max-width:760px){.charts-row,.charts-row-2{grid-template-columns:1fr}.ov-grid{grid-template-columns:repeat(2,1fr)}.hc,.fbar,.main,.tabs{padding-left:14px;padding-right:14px}}
</style>
</head>
<body>
<header class="header">
<div class="ha"></div>
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<div class="hc">
<div class="ht"><div class="hl">Universidade Federal do Oeste da Bahia</div><div class="htt">Avaliação dos Docentes — 2025.2</div></div>
<div class="hm"><div>Núcleo de Avaliação de Cursos · <strong>NAC</strong></div><div>Pró-Reitoria de Graduação · <strong>PROGRAD / UFOB</strong></div></div>
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<div class="tlabel">Docentes Respondentes</div>
<div class="tval" id="totalDocentes">–</div>
<div class="tsub" id="totalSub">Todos os centros e cursos</div>
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<div class="fg"><div class="fl">Centro</div>
<select class="fs" id="fCentro" onchange="onCentroChange()"><option value="__ALL__">Todos os Centros</option></select>
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<div class="fg"><div class="fl">Curso</div>
<select class="fs" id="fCurso" onchange="applyFilters()"><option value="__ALL__">Todos os Cursos</option></select>
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<button class="freset" onclick="resetFilters()">↺ Limpar</button>
<div class="fstats"><div class="schip" id="schip">– docentes</div></div>
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<button class="tab active" onclick="showPage(0,this)">Visão Geral</button>
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<button class="tab" onclick="showPage(1,this)">Dim.1 – IND 1 a 3</button>
<button class="tab" onclick="showPage(2,this)">Dim.1 – IND 4 a 6</button>
<button class="tab" onclick="showPage(3,this)">Dim.1 – IND 7 a 9</button>
<button class="tab" onclick="showPage(4,this)">Dim.1 – IND 10 a 12</button>
<button class="tab" onclick="showPage(5,this)">Dim.1 – Orient. e Pesq.</button>
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<button class="tab" onclick="showPage(6,this)">Dim.2 – Percepções</button>
<div class="dsep"></div>
<button class="tab" onclick="showPage(7,this)">Dim.3 – Gestão</button>
<div class="dsep"></div>
<button class="tab" onclick="showPage(8,this)">Dim.4 – IND 1 a 3</button>
<button class="tab" onclick="showPage(9,this)">Dim.4 – IND 4 a 7</button>
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<div class="sum-wrap"><div class="sum-title">Resultado por Indicador</div>
<table class="sum-table"><thead><tr><th>Indicador</th><th>Código</th><th>Docentes</th><th>Válidas</th><th>N/A</th><th>Média</th><th style="width:180px">Dist.</th></tr></thead>
<tbody id="sumBody"></tbody></table>
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INTERDISCIPLINAR EM HUMANIDADES", "CI\u00caNCIAS BIOL\u00d3GICAS - LICENCIATURA", "DIREITO", "GEOGRAFIA - BACHARELADO", "GEOGRAFIA - LICENCIATURA", "HIST\u00d3RIA - BACHARELADO", "HIST\u00d3RIA - LICENCIATURA", "MATEM\u00c1TICA - BACHARELADO", "MATEM\u00c1TICA - LICENCIATURA", "MEDICINA", "NUTRI\u00c7\u00c3O"], "CENTRO MULTIDISCIPLINAR DE BARRA": ["AGRONOMIA", "MEDICINA VETERIN\u00c1RIA"], "CENTRO MULTIDISCIPLINAR DE BOM JESUS DA LAPA": ["ENGENHARIA EL\u00c9TRICA", "ENGENHARIA MEC\u00c2NICA"], "CENTRO MULTIDISCIPLINAR DE LU\u00cdS EDUARDO MAGALH\u00c3ES": ["ENGENHARIA DE BIOTECNOLOGIA", "ENGENHARIA DE PRODU\u00c7\u00c3O", "ENGENHARIA MEC\u00c2NICA"], "CENTRO MULTIDISCIPLINAR DE SANTA MARIA DA VIT\u00d3RIA": ["ARTES VISUAIS - LICENCIATURA", "PUBLICIDADE E PROPAGANDA"]}, "totais": {"__ALL__": {"__ALL__": 323}, "CENTRO DAS CI\u00caNCIAS BIOL\u00d3GICAS E DA SA\u00daDE": {"__ALL__": 77, "CI\u00caNCIAS BIOL\u00d3GICAS - BACHARELADO": 10, "CI\u00caNCIAS BIOL\u00d3GICAS - LICENCIATURA": 15, "FARM\u00c1CIA": 16, "MEDICINA": 34, "NUTRI\u00c7\u00c3O": 14}, "CENTRO DAS CI\u00caNCIAS EXATAS E DAS TECNOLOGIAS": {"__ALL__": 75, "ADMINISTRA\u00c7\u00c3O": 2, "BACH. INTERDISCIPLINAR EM CI\u00caNCIA E TECNOLOGIA": 6, "ENGENHARIA CIVIL": 16, "ENGENHARIA SANIT\u00c1RIA E AMBIENTAL": 9, "F\u00cdSICA - BACHARELADO": 5, "F\u00cdSICA - LICENCIATURA": 6, "GEOGRAFIA - BACHARELADO": 1, "GEOLOGIA": 8, "MATEM\u00c1TICA - BACHARELADO": 7, "MATEM\u00c1TICA - LICENCIATURA": 12, "QU\u00cdMICA - BACHARELADO": 10, "QU\u00cdMICA - LICENCIATURA": 14}, "CENTRO DAS HUMANIDADES": {"__ALL__": 77, "ADMINISTRA\u00c7\u00c3O": 12, "BACH. INTERDISCIPLINAR EM CI\u00caNCIA E TECNOLOGIA": 1, "BACH. INTERDISCIPLINAR EM HUMANIDADES": 12, "CI\u00caNCIAS BIOL\u00d3GICAS - LICENCIATURA": 2, "DIREITO": 18, "GEOGRAFIA - BACHARELADO": 8, "GEOGRAFIA - LICENCIATURA": 12, "HIST\u00d3RIA - BACHARELADO": 12, "HIST\u00d3RIA - LICENCIATURA": 13, "MATEM\u00c1TICA - BACHARELADO": 1, "MATEM\u00c1TICA - LICENCIATURA": 4, "MEDICINA": 2, "NUTRI\u00c7\u00c3O": 1}, "CENTRO MULTIDISCIPLINAR DE BARRA": {"__ALL__": 30, "AGRONOMIA": 14, "MEDICINA VETERIN\u00c1RIA": 16}, "CENTRO MULTIDISCIPLINAR DE BOM JESUS DA LAPA": {"__ALL__": 23, "ENGENHARIA EL\u00c9TRICA": 11, "ENGENHARIA MEC\u00c2NICA": 10}, "CENTRO MULTIDISCIPLINAR DE LU\u00cdS EDUARDO MAGALH\u00c3ES": {"__ALL__": 23, "ENGENHARIA DE BIOTECNOLOGIA": 11, "ENGENHARIA DE PRODU\u00c7\u00c3O": 12, "ENGENHARIA MEC\u00c2NICA": 1}, "CENTRO MULTIDISCIPLINAR DE SANTA MARIA DA VIT\u00d3RIA": {"__ALL__": 18, "ARTES VISUAIS - LICENCIATURA": 11, "PUBLICIDADE E PROPAGANDA": 10}}};
const DB=APPDATA.result,CENTROS=APPDATA.centros,CURSOS_POR_CENTRO=APPDATA.cursosPorCentro,TOTAIS=APPDATA.totais;
const QUESTIONS={
'1.1.1':'Assiduidade e Pontualidade','1.1.2':'Entrega e Cumprimento do Plano de Ensino',
'1.1.3':'Referências Disponibilizadas','1.1.4':'Domínio do Conteúdo',
'1.1.5':'Metodologias de Ensino','1.1.6':'Utilização de TIC',
'1.1.7':'Estímulo à Participação dos Estudantes','1.1.8':'Estratégias de Avaliação da Aprendizagem',
'1.1.9':'Divulgação e Discussão dos Resultados','1.1.10':'Interações Professor-Aluno',
'1.1.11':'Contribuição do Componente para a Formação','1.1.12':'Empenho enquanto Docente',
'1.2.1':'Condução da Orientação Acadêmica','1.2.2':'Condução da Orientação de TCC',
'1.2.3':'Condução da Orientação de Estágios','1.2.4':'Pesquisa','1.2.5':'Extensão',
'2.qualidade':'Qualidade do Curso (Bacharelado e Licenciatura)',
'2.interdisciplinar':'Atividades Interdisciplinares com Outros Docentes',
'3.disponibilidade':'Disponibilidade para Atendimento das Demandas',
'3.orientacoes':'Orientações aos Docentes',
'3.acesso':'Acesso ao Coordenador de Curso',
'3.relacao':'Relação com os Docentes',
'3.satisfacao':'Satisfação com a Atuação da Coordenação do Curso',
'4.1.1':'Espaços Físicos – Aulas Teóricas','4.1.2':'Espaços Físicos – Aulas Práticas',
'4.1.3':'Recursos para Aulas Teóricas','4.1.4':'Recursos para Aulas Práticas',
'4.1.5':'Espaços para Estágio Curricular Supervisionado',
'4.1.6':'Acervo Bibliográfico Físico','4.1.7':'Acervo Bibliográfico Digital'
};
const ALL_INDS=Object.keys(QUESTIONS);
const DIM_OF=k=>k.startsWith('1.')?1:k.startsWith('2.')?2:k.startsWith('3.')?3:4;
const DIM_LABEL={1:'Dimensão 1',2:'Dimensão 2',3:'Dimensão 3',4:'Dimensão 4'};
const DIM_BADGE={1:'db1',2:'db2',3:'db3',4:'db4'};
const NOTE_COLORS={1:'#B71C1C',2:'#1565C0',3:'#E65100',4:'#6A1B9A',5:'#E91E8C',na:'#78909C'};
let chartInstances={};
function populateFilters(){
const fc=document.getElementById('fCentro');
CENTROS.forEach(c=>{const o=document.createElement('option');o.value=c;o.textContent=c;fc.appendChild(o);});
}
function populateCursos(centro){
const fc2=document.getElementById('fCurso');
fc2.innerHTML='<option value="__ALL__">Todos os Cursos</option>';
const list=centro==='__ALL__'?[...new Set(Object.values(CURSOS_POR_CENTRO).flat())].sort():(CURSOS_POR_CENTRO[centro]||[]);
list.forEach(c=>{const o=document.createElement('option');o.value=c;o.textContent=c;fc2.appendChild(o);});
}
function onCentroChange(){populateCursos(document.getElementById('fCentro').value);applyFilters();}
function resetFilters(){document.getElementById('fCentro').value='__ALL__';populateCursos('__ALL__');applyFilters();}
function getDataForContext(centro,curso){
if(centro==='__ALL__'&&curso==='__ALL__') return DB['__ALL__']['__ALL__'];
if(centro!=='__ALL__'&&curso==='__ALL__') return DB[centro]?.['__ALL__']||null;
if(centro!=='__ALL__'&&curso!=='__ALL__') return DB[centro]?.[curso]||null;
let combined=null;
CENTROS.forEach(c=>{
if(DB[c]?.[curso]){
if(!combined){combined={};ALL_INDS.forEach(ind=>combined[ind]={counts:{1:0,2:0,3:0,4:0,5:0,na:0},total:0});}
ALL_INDS.forEach(ind=>{
const d=DB[c][curso][ind];if(!d)return;
Object.keys(d.counts).forEach(k=>combined[ind].counts[k]=(combined[ind].counts[k]||0)+(d.counts[k]||0));
combined[ind].total+=d.total;
});
}
});
return combined;
}
function getTotalDocentes(centro,curso){
if(centro==='__ALL__'&&curso==='__ALL__') return TOTAIS['__ALL__']['__ALL__'];
if(centro!=='__ALL__'&&curso==='__ALL__') return TOTAIS[centro]?.['__ALL__']||0;
if(centro!=='__ALL__'&&curso!=='__ALL__') return TOTAIS[centro]?.[curso]||0;
let s=0;CENTROS.forEach(c=>{if(TOTAIS[c]?.[curso])s+=TOTAIS[c][curso];});return s;
}
function getDist(data,ind){
if(!data||!data[ind]) return {counts:{1:0,2:0,3:0,4:0,5:0,na:0},total:0,valid:0,avg:'-',pct:{1:0,2:0,3:0,4:0,5:0,na:0}};
const d=data[ind];const c=d.counts;const tot=d.total;
let valid=0,sum=0;[1,2,3,4,5].forEach(k=>{valid+=(c[k]||0);sum+=k*(c[k]||0);});
const avg=valid>0?(sum/valid).toFixed(2):'-';
const denom=tot||1;const pct={};
[1,2,3,4,5].forEach(k=>pct[k]=(c[k]||0)/denom*100);pct.na=(c.na||0)/denom*100;
return {counts:c,total:tot,valid,avg,pct};
}
function renderBar(cardEl,ind,data,color,dimNum){
const dist=getDist(data,ind);
const cid='cv-'+ind.replace(/[.\-]/g,'_');
const vals=[dist.pct[1],dist.pct[2],dist.pct[3],dist.pct[4],dist.pct[5],dist.pct.na];
const rawC=[dist.counts[1],dist.counts[2],dist.counts[3],dist.counts[4],dist.counts[5],dist.counts.na||0];
cardEl.innerHTML=`<div class="ci">${ind} · ${DIM_LABEL[dimNum]}</div>
<div class="ct">${QUESTIONS[ind]}</div>
<div class="cw"><canvas id="${cid}"></canvas></div>
<div class="cf"><div class="cavg">Média: <span>${dist.avg}</span></div>
<div class="cna">Válidas: <strong>${dist.valid.toLocaleString('pt-BR')}</strong> · N/A: <strong>${(dist.counts.na||0).toLocaleString('pt-BR')}</strong></div></div>
<div class="cnote">Base: docentes únicos (n=${dist.total.toLocaleString('pt-BR')})</div>`;
if(chartInstances[ind]){chartInstances[ind].destroy();delete chartInstances[ind];}
const ctx=document.getElementById(cid).getContext('2d');
chartInstances[ind]=new Chart(ctx,{type:'bar',
data:{labels:['1','2','3','4','5','N/A'],datasets:[{data:vals,backgroundColor:['1','2','3','4','5','N/A'].map((_,i)=>i<5?color:'rgba(120,144,156,0.7)'),borderRadius:4,borderSkipped:false}]},
options:{responsive:true,maintainAspectRatio:false,plugins:{legend:{display:false},tooltip:{callbacks:{label:(c)=>`${c.raw.toFixed(1)}% (${rawC[c.dataIndex].toLocaleString('pt-BR')} resp.)`}}},scales:{y:{beginAtZero:true,max:100,ticks:{callback:v=>v+'%',font:{family:"'Source Sans 3',sans-serif",size:10},color:'#8898AA'},grid:{color:'#F0F2F7'},border:{display:false}},x:{ticks:{font:{family:"'Montserrat',sans-serif",size:11,weight:'700'},color:'#3D4B63'},grid:{display:false},border:{display:false}}},animation:{duration:350}},
plugins:[{id:'lbl',afterDatasetDraw(chart){const{ctx,data}=chart;data.datasets[0].data.forEach((v,i)=>{if(v<0.5)return;const bar=chart.getDatasetMeta(0).data[i];ctx.save();ctx.fillStyle='#1A2540';ctx.font="bold 10px 'Montserrat',sans-serif";ctx.textAlign='center';ctx.textBaseline='bottom';ctx.fillText(v.toFixed(1)+'%',bar.x,bar.y-3);ctx.restore();});}}]
});
}
function renderArea(cardEl,ind,data){
const dist=getDist(data,ind);
const cid='cv-'+ind.replace(/[.\-]/g,'_');
const vals=[dist.pct[1],dist.pct[2],dist.pct[3],dist.pct[4],dist.pct[5],dist.pct.na];
const rawC=[dist.counts[1],dist.counts[2],dist.counts[3],dist.counts[4],dist.counts[5],dist.counts.na||0];
cardEl.innerHTML=`<div class="ci">${ind} · Dimensão 3</div>
<div class="ct">${QUESTIONS[ind]}</div>
<div class="cw"><canvas id="${cid}"></canvas></div>
<div class="cf"><div class="cavg">Média: <span>${dist.avg}</span></div>
<div class="cna">Válidas: <strong>${dist.valid.toLocaleString('pt-BR')}</strong> · N/A: <strong>${(dist.counts.na||0).toLocaleString('pt-BR')}</strong></div></div>
<div class="cnote">Base: docentes únicos (n=${dist.total.toLocaleString('pt-BR')})</div>`;
if(chartInstances[ind]){chartInstances[ind].destroy();delete chartInstances[ind];}
const ctx=document.getElementById(cid).getContext('2d');
chartInstances[ind]=new Chart(ctx,{type:'line',
data:{labels:['1','2','3','4','5','N/A'],datasets:[{data:vals,borderColor:'rgba(46,125,50,1)',backgroundColor:'rgba(46,125,50,0.15)',fill:true,tension:0.4,pointBackgroundColor:'rgba(46,125,50,1)',pointRadius:5,pointHoverRadius:7}]},
options:{responsive:true,maintainAspectRatio:false,plugins:{legend:{display:false},tooltip:{callbacks:{label:(c)=>`${c.raw.toFixed(1)}% (${rawC[c.dataIndex].toLocaleString('pt-BR')} resp.)`}}},scales:{y:{beginAtZero:true,max:100,ticks:{callback:v=>v+'%',font:{family:"'Source Sans 3',sans-serif",size:10},color:'#8898AA'},grid:{color:'#F0F2F7'},border:{display:false}},x:{ticks:{font:{family:"'Montserrat',sans-serif",size:11,weight:'700'},color:'#3D4B63'},grid:{display:false},border:{display:false}}},animation:{duration:350}},
plugins:[{id:'lbl',afterDatasetDraw(chart){const{ctx,data}=chart;data.datasets[0].data.forEach((v,i)=>{if(v<0.3)return;const pt=chart.getDatasetMeta(0).data[i];ctx.save();ctx.fillStyle='#1B5E20';ctx.font="bold 10px 'Montserrat',sans-serif";ctx.textAlign='center';ctx.textBaseline='bottom';ctx.fillText(v.toFixed(1)+'%',pt.x,pt.y-8);ctx.restore();});}}]
});
}
function renderDonut(cardEl,ind,data){
const dist=getDist(data,ind);
const cid='cv-'+ind.replace(/[.\-]/g,'_');
const nc=NOTE_COLORS;const keys=[1,2,3,4,5,'na'];
const sk=keys.filter(k=>(dist.counts[k]||0)>0);
const sv=sk.map(k=>dist.pct[k]);const sb=sk.map(k=>nc[k]);
const dk=keys.filter(k=>dist.pct[k]>0);
cardEl.innerHTML=`<div class="ci">${ind} · Dimensão 2</div>
<div class="ct">${QUESTIONS[ind]}</div>
<div class="donut-area">
<div class="donut-wrap"><canvas id="${cid}" width="200" height="200"></canvas>
<div class="donut-center"><div class="d-avg-label">Média</div><div class="d-avg-val">${dist.avg}</div></div>
</div>
<div class="legend" id="leg-${cid}"></div>
</div>
<div class="cf"><div class="cna">Válidas: <strong>${dist.valid.toLocaleString('pt-BR')}</strong> · N/A: <strong>${(dist.counts.na||0).toLocaleString('pt-BR')}</strong></div></div>
<div class="cnote">Base: docentes únicos (n=${dist.total.toLocaleString('pt-BR')})</div>`;
document.getElementById('leg-'+cid).innerHTML=dk.map(k=>`<div class="li"><div class="ld" style="background:${nc[k]}"></div><div class="lt">Conceito ${k==='na'?'N/A':k}</div><div class="lp">${dist.pct[k].toFixed(1)}%</div></div>`).join('');
if(chartInstances[ind]){chartInstances[ind].destroy();delete chartInstances[ind];}
const ctx=document.getElementById(cid).getContext('2d');
chartInstances[ind]=new Chart(ctx,{type:'doughnut',
data:{labels:sk.map(k=>k==='na'?'N/A':String(k)),datasets:[{data:sv,backgroundColor:sb,borderWidth:2,borderColor:'#fff',hoverOffset:5}]},
options:{responsive:false,cutout:'60%',plugins:{legend:{display:false},tooltip:{callbacks:{label:(c)=>`${c.parsed.toFixed(1)}%`}}},animation:{duration:350}},
plugins:[{id:'dlbl',afterDatasetDraw(chart){const{ctx,data}=chart;chart.getDatasetMeta(0).data.forEach((arc,i)=>{const v=data.datasets[0].data[i];if(v<3)return;const angle=(arc.startAngle+arc.endAngle)/2;const r=(arc.innerRadius+arc.outerRadius)/2;const x=arc.x+Math.cos(angle)*r;const y=arc.y+Math.sin(angle)*r;ctx.save();ctx.fillStyle='#fff';ctx.font="bold 11px 'Montserrat',sans-serif";ctx.textAlign='center';ctx.textBaseline='middle';ctx.fillText(v.toFixed(1)+'%',x,y);ctx.restore();});}}]
});
}
function renderOverview(data,totalDoc){
const MERGED_INDS=['2.qualidade','2.interdisciplinar','3.disponibilidade','3.orientacoes','3.acesso','3.relacao','3.satisfacao'];
let s=0,n=0;ALL_INDS.forEach(ind=>{const v=parseFloat(getDist(data,ind).avg)||0;if(v>0){s+=v;n++;}});
const gAvg=n>0?(s/n).toFixed(2):'-';
const dimAvg=inds=>{let s2=0,n2=0;inds.forEach(k=>{const v=parseFloat(getDist(data,k).avg)||0;if(v>0){s2+=v;n2++;}});return n2>0?(s2/n2).toFixed(2):'-';};
const d1=ALL_INDS.filter(k=>k.startsWith('1.')),d2=ALL_INDS.filter(k=>k.startsWith('2.')),d3=ALL_INDS.filter(k=>k.startsWith('3.')),d4=ALL_INDS.filter(k=>k.startsWith('4.'));
document.getElementById('kpiGrid').innerHTML=`
<div class="kpi"><div class="kl">Docentes Respondentes</div><div class="kv">${totalDoc.toLocaleString('pt-BR')}</div><div class="ks">professores únicos</div></div>
<div class="kpi"><div class="kl">Média Geral</div><div class="kv" style="color:var(--orange)">${gAvg}</div><div class="ks">sobre 5,00</div></div>
<div class="kpi"><div class="kl">Dim.1 – Org. Didático-Ped.</div><div class="kv" style="color:var(--d1)">${dimAvg(d1)}</div><div class="ks">${d1.length} indicadores</div></div>
<div class="kpi"><div class="kl">Dim.2 – Percepções</div><div class="kv" style="color:#E91E8C">${dimAvg(d2)}</div><div class="ks">${d2.length} indicadores</div></div>
<div class="kpi"><div class="kl">Dim.3 – Gestão do Curso</div><div class="kv" style="color:var(--d3)">${dimAvg(d3)}</div><div class="ks">${d3.length} indicadores</div></div>`;
const tbody=document.getElementById('sumBody');tbody.innerHTML='';
ALL_INDS.forEach(ind=>{
const dist=getDist(data,ind);const dim=DIM_OF(ind);
const fill=dist.avg!=='-'?((parseFloat(dist.avg)/5)*100).toFixed(0):0;
const tr=document.createElement('tr');
tr.innerHTML=`<td><div class="tdi"><span class="dim-badge ${DIM_BADGE[dim]}">${DIM_LABEL[dim]}</span>${QUESTIONS[ind]}</div></td>
<td><span class="inn">${ind}</span></td>
<td>${(MERGED_INDS.includes(ind)?totalDoc:dist.total).toLocaleString('pt-BR')}</td>
<td>${dist.valid.toLocaleString('pt-BR')}</td>
<td>${(dist.counts.na||0).toLocaleString('pt-BR')}</td>
<td class="tdavg">${dist.avg}</td>
<td><div class="bm"><div class="bmf" style="width:${fill}%"></div></div></td>`;
tbody.appendChild(tr);
});
}
function renderAll(data,totalDoc){
renderOverview(data,totalDoc);
['1.1.1','1.1.2','1.1.3','1.1.4','1.1.5','1.1.6','1.1.7','1.1.8','1.1.9','1.1.10','1.1.11','1.1.12','1.2.1','1.2.2','1.2.3','1.2.4','1.2.5'].forEach(ind=>{
const el=document.getElementById('c-'+ind);if(el&&el.id) renderBar(el,ind,data,'rgba(25,118,210,0.75)',1);
});
['2.qualidade','2.interdisciplinar'].forEach(ind=>{const el=document.getElementById('c-'+ind);if(el&&el.id) renderDonut(el,ind,data);});
['3.disponibilidade','3.orientacoes','3.acesso','3.relacao','3.satisfacao'].forEach(ind=>{const el=document.getElementById('c-'+ind);if(el&&el.id) renderArea(el,ind,data);});
['4.1.1','4.1.2','4.1.3','4.1.4','4.1.5','4.1.6','4.1.7'].forEach(ind=>{const el=document.getElementById('c-'+ind);if(el&&el.id) renderBar(el,ind,data,'rgba(123,31,162,0.75)',4);});
}
function applyFilters(){
const centro=document.getElementById('fCentro').value;
const curso=document.getElementById('fCurso').value;
const data=getDataForContext(centro,curso);
const totalDoc=getTotalDocentes(centro,curso);
document.getElementById('totalDocentes').textContent=totalDoc.toLocaleString('pt-BR');
document.getElementById('schip').textContent=totalDoc.toLocaleString('pt-BR')+' docentes';
const sub=centro==='__ALL__'?'Todos os centros e cursos':curso==='__ALL__'?centro:`${curso} · ${centro}`;
document.getElementById('totalSub').textContent=sub;
if(data) renderAll(data,totalDoc);
}
function showPage(idx,btn){
document.querySelectorAll('.page').forEach(p=>p.classList.remove('active'));
document.querySelectorAll('.tab').forEach(b=>b.classList.remove('active'));
document.getElementById('page-'+idx).classList.add('active');
btn.classList.add('active');
}
document.addEventListener('DOMContentLoaded',()=>{
populateFilters();populateCursos('__ALL__');
applyFilters(); // carrega com dados corretos desde o início
});
</script>
</body>
</html>
Todo o conteúdo deste site está publicado sob a licença Creative Commons Atribuição-SemDerivações 3.0 Não Adaptada.