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Create index.html
Browse files- index.html +169 -0
index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>CSV Table Viewer</title>
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<style>
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body {
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font-family: Arial, sans-serif;
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background-color: #fdf6fb;
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color: #333;
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margin: 0;
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padding: 20px;
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}
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h1 {
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text-align: center;
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color: #d16ba5;
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}
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.table-container {
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overflow-x: auto;
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margin-top: 20px;
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}
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table {
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width: 100%;
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border-collapse: collapse;
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margin: 0 auto;
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background-color: #fff;
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box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
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}
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th, td {
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padding: 10px;
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text-align: left;
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border: 1px solid #ddd;
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}
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th {
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background-color: #f7d9eb;
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color: #333;
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font-weight: bold;
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}
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td {
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white-space: nowrap;
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overflow: hidden;
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text-overflow: ellipsis;
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}
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td.expandable {
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cursor: pointer;
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}
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.filter {
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margin-bottom: 20px;
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text-align: center;
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}
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.filter label {
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font-size: 16px;
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margin-right: 10px;
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color: #d16ba5;
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}
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.filter select {
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padding: 5px;
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font-size: 16px;
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border: 1px solid #ccc;
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border-radius: 5px;
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}
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.expanded {
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white-space: normal;
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background-color: #fcebf7;
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}
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</style>
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</head>
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<body>
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<h1>CSV Table Viewer</h1>
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<div class="filter">
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<label for="metricFilter">Filter by Metric Type:</label>
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<select id="metricFilter">
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<option value="">All</option>
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</select>
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</div>
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<div class="table-container">
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<table id="csvTable">
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<thead>
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<tr>
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<th>Metric Type</th>
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<th>Benchmark</th>
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<th>Output Type</th>
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<th>Details</th>
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<th>Metric Example</th>
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<th>Question + Context Example</th>
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<th>Answer Example</th>
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</tr>
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</thead>
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<tbody>
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<!-- Rows will be dynamically added here -->
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</tbody>
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</table>
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</div>
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<script>
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// Function to parse CSV file
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function parseCSV(content) {
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const rows = content.split("\n").filter(row => row.trim() !== "");
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const headers = rows.shift().split(",");
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return rows.map(row => {
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const values = row.split(",");
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const obj = {};
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headers.forEach((header, index) => {
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obj[header.trim()] = values[index]?.trim() || "";
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});
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return obj;
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});
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}
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// Load CSV file
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async function loadCSV(filePath) {
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const response = await fetch(filePath);
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const content = await response.text();
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return parseCSV(content);
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}
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// Populate filter options
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const metricFilter = document.getElementById('metricFilter');
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const tableBody = document.getElementById('csvTable').querySelector('tbody');
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function populateFilterOptions(data) {
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const uniqueMetricTypes = [...new Set(data.map(row => row["Metric Type"]))];
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uniqueMetricTypes.forEach(type => {
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const option = document.createElement('option');
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option.value = type;
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option.textContent = type;
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metricFilter.appendChild(option);
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});
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}
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// Populate table
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function populateTable(filteredData) {
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tableBody.innerHTML = '';
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filteredData.forEach(row => {
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const tr = document.createElement('tr');
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Object.values(row).forEach((value, index) => {
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const td = document.createElement('td');
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td.textContent = value;
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if (index >= 4) { // Long content
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td.classList.add('expandable');
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td.title = 'Click to expand';
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td.addEventListener('click', () => {
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td.classList.toggle('expanded');
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});
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}
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tr.appendChild(td);
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});
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tableBody.appendChild(tr);
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});
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}
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metricFilter.addEventListener('change', () => {
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const filterValue = metricFilter.value;
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const filteredData = filterValue ? tableData.filter(row => row["Metric Type"] === filterValue) : tableData;
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populateTable(filteredData);
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});
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// Initial load
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let tableData = [];
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loadCSV('data.csv').then(data => {
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tableData = data;
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populateFilterOptions(data);
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populateTable(data);
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});
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</script>
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</body>
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</html>
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