Embedded Files
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>数据分析报告生成器</title>
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jstat/1.9.5/jstat.min.js"></script>
<style>
body {
font-family: Arial, sans-serif;
background: linear-gradient(45deg, #3498db, #8e44ad);
margin: 0;
padding: 20px;
display: flex;
justify-content: center;
align-items: center;
min-height: 100vh;
}
.container {
background-color: rgba(255, 255, 255, 0.9);
border-radius: 10px;
padding: 20px;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
width: 80%;
max-width: 800px;
}
h1 {
text-align: center;
color: #2c3e50;
}
textarea {
width: 100%;
height: 150px;
margin-bottom: 10px;
padding: 10px;
border: 1px solid #bdc3c7;
border-radius: 5px;
resize: vertical;
}
button {
display: block;
width: 100%;
padding: 10px;
margin-bottom: 10px;
border: none;
border-radius: 5px;
background-color: #3498db;
color: white;
cursor: pointer;
transition: background-color 0.3s;
}
button:hover {
background-color: #2980b9;
}
#report {
background-color: #ecf0f1;
border-radius: 5px;
padding: 10px;
margin-top: 20px;
}
canvas {
max-width: 100%;
height: auto;
margin-top: 20px;
}
</style>
</head>
<body>
<div class="container">
<h1>数据分析报告生成器</h1>
<textarea id="dataInput" placeholder="请输入数据，每行一个数值"></textarea>
<button onclick="generateReport()">生成报告</button>
<div id="report"></div>
<canvas id="chart"></canvas>
</div>
<script>
function generateReport() {
const input = document.getElementById('dataInput').value;
const data = input.split('\n').map(Number).filter(n => !isNaN(n));
if (data.length === 0) {
alert('请输入有效的数据');
return;
}
const report = document.getElementById('report');
report.innerHTML = '';
// 基本统计
const mean = jstat.mean(data);
const median = jstat.median(data);
const mode = jstat.mode(data);
const variance = jstat.variance(data);
const stdDev = jstat.stdev(data);
const min = Math.min(...data);
const max = Math.max(...data);
report.innerHTML += `
<h2>基本统计</h2>
<p>平均值: ${mean.toFixed(2)}</p>
<p>中位数: ${median.toFixed(2)}</p>
<p>众数: ${mode.join(', ')}</p>
<p>方差: ${variance.toFixed(2)}</p>
<p>标准差: ${stdDev.toFixed(2)}</p>
<p>最小值: ${min}</p>
<p>最大值: ${max}</p>
`;
// 分布分析
const histogram = jstat.histogram(data, 10);
const chartCtx = document.getElementById('chart').getContext('2d');
new Chart(chartCtx, {
type: 'bar',
data: {
labels: histogram.map((_, i) => `Bin ${i + 1}`),
datasets: [{
label: '频率',
data: histogram,
backgroundColor: 'rgba(54, 162, 235, 0.6)'
}]
},
options: {
responsive: true,
scales: {
y: {
beginAtZero: true
}
}
}
});
// 相关性分析（如果数据量足够）
if (data.length > 1) {
const correlation = jstat.corrcoeff(data.slice(0, -1), data.slice(1));
report.innerHTML += `
<h2>相关性分析</h2>
<p>相邻数据点的相关系数: ${correlation.toFixed(4)}</p>
`;
}
// 异常值检测
const q1 = jstat.quartiles(data)[0];
const q3 = jstat.quartiles(data)[2];
const iqr = q3 - q1;
const lowerBound = q1 - 1.5 * iqr;
const upperBound = q3 + 1.5 * iqr;
const outliers = data.filter(x => x < lowerBound || x > upperBound);
report.innerHTML += `
<h2>异常值检测</h2>
<p>检测到的异常值: ${outliers.join(', ') || '无'}</p>
`;
}
</script>
</body>
</html>
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