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625 lines
17 KiB
HTML
625 lines
17 KiB
HTML
3 years ago
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<!DOCTYPE html>
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<html>
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<head>
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<meta charset="utf-8">
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<link rel="shortcut icon" type="image/ico" href="http://www.datatables.net/favicon.ico">
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<meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1.0, user-scalable=no">
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<title>DataTables example - Fuzzy Searching</title>
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<link rel="stylesheet" type="text/css" href="https://cdn.datatables.net/1.10.6/css/jquery.dataTables.min.css">
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<style type="text/css" class="init">
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div.container {
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margin: 0 auto;
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max-width: 980px;
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}
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#resize_wrapper {
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position: relative;
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height: 300px;
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padding: 0.5em 0.5em 1.5em 0.5em;
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border: 1px solid #aaa;
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border-radius: 0.5em;
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background-color: #f9f9f9;
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}
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#resize_handle {
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position: absolute;
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bottom: 0;
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left: 0;
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right: 0;
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height: 1.5em;
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border-bottom-right-radius: 0.5em;
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border-bottom-left-radius: 0.5em;
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text-align: center;
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font-size: 0.8em;
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line-height: 1.5em;
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background-color: #4d90fe;
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color: white;
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cursor: pointer;
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}
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table.dataTable th,
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table.dataTable td {
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white-space: nowrap;
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}
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div.dataTables_length {
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display: none;
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}
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</style>
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<script type="text/javascript" language="javascript" src="https://code.jquery.com/jquery-3.5.1.js"></script>
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<script type="text/javascript" language="javascript" src="https://cdn.datatables.net/1.10.6/js/jquery.dataTables.min.js"></script>
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<script type="text/javascript" language="javascript" src="dataTables.fuzzySearch.js"></script>
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<script type="text/javascript" language="javascript" class="init">
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$(document).ready(function() {
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var table = $('#example').DataTable({
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fuzzySearch: true
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});
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$('#searchVal').on('click', function() {
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let searchVal = $('#searchInput').val();
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console.log('search("'+searchVal+'");');
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table.search(searchVal);
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});
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$('#searchClear').on('click', function() {
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let searchVal = $('#searchInput').val();
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console.log('search("");');
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table.search("");
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});
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$('#fuzzyVal').on('click', function() {
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let searchVal = $('#searchInput').val();
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console.log('search.fuzzy("'+searchVal+'"");');
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table.search.fuzzy(searchVal);
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});
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$('#fuzzyClear').on('click', function() {
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let searchVal = $('#searchInput').val();
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console.log('search.fuzzy("");');
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table.search.fuzzy("");
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});
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$('#draw').on('click', function() {
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console.log('.draw();');
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table.draw();
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});
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} );
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</script>
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</head>
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<body class="dt-example">
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<div class="container">
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<section>
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<h1>DataTables example <span>Fuzzy Searching</span></h1>
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<div class="info">
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<p>Fuzzy searching is used in search engines and databases to perform searches that will match results that are not necessarily exactly the same as the search
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term. This allows spelling mistakes and typos to be accounted for. It also allows small changes in dialect not to affect search results. A commonly used example is
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for surname searching. "Smith" and "Smythe" are pronounced the same way, but using conventional searching typing "Smith" would not return "Smythe".</p>
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<p>This plug-in adds fuzzy search functionality to DataTables. It does this through a combination of exact matching and the <a href=
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"https://github.com/tad-lispy/node-damerau-levenshtein">Damerau-Levenshtein algorithm</a>. There are three initialisation options that are associated with this
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plugin.</p>
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<ul class="markdown">
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<li><code>fuzzySearch.toggleSmart</code> allows the searching to be changed from exact matching to fuzzy searching.</li>
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<li><code>fuzzySearch.rankColumn</code> allows the % match to be set in a column within the datatable. Some examples of use cases could be to display the value
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to the user, or to hide the column and order based on it - as a search engine would.</li>
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<li><code>fuzzySearch.threshold</code> allows the value of similarity that is required from the Damerau-Levenshtein function to display the row to be
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changed.</li>
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</ul>
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<p>This example shows how the API methods can be used to work with fuzzy searching. There are 4 buttons below which implement the following actions</p>
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<ul class="markdown">
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<li><code>.search(value)</code>This button takes the value from the input element to the left of the buttons and passes it into the <code>.search()</code>
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api method. Doing this should update the value in the tables input element, but not yet update the tables records.</li>
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<li><code>.search("")</code>This button again calls the <code>.search()</code> api method, this time with an empty string to clear that value that it stores.
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Doing this should update the value in the tables input element, but not yet update the tables records.</li>
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<li><code>.search.fuzzy(value)</code>This button takes the value from the input element to the left of the buttons and passes it into the <code>.search.fuzzy()</code>
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api method. Doing this should update the value in the tables input element, but not yet update the tables records.</li>
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<li><code>.search.fuzzy("")</code>This button again calls the <code>.search.fuzzy()</code> api method, this time with an empty string to clear that value that
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it stores. Doing this should update the value in the tables input element, but not yet update the tables records.</li>
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<li><code>.draw()</code>This button calls the <code>.draw()</code> api method. Doing this will update the table to display the values that have been returned
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based on the calls to the above api methods. If a value has been set for both exact and fuzzy searching then both must approve a row for it to be displayed.
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Clearing one of these values and drawing again will cause the other to be the sole filter that is applied. If the tables UI is used at any point then the
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exact search is discarded and fuzzy search takes command</li>
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</ul>
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</div>
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<div class="demo-html">
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<input id="searchInput"></input>
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<button id="searchVal">.search(value)</button>
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<button id="searchClear">.search("")</button>
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<button id="fuzzyVal">.search.fuzzy(value)</button>
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<button id="fuzzyClear">.search.fuzzy("")</button>
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<button id="draw">.draw()</button>
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<table id="example" class="display" style="width:100%">
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<thead>
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<tr>
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<th>Name</th>
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<th>Position</th>
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<th>Office</th>
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<th>Age</th>
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<th>Start date</th>
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<th>Salary</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>Tiger Nixon</td>
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<td>System Architect</td>
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<td>Edinburgh</td>
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<td>61</td>
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<td>2011/04/25</td>
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<td>$320,800</td>
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</tr>
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<tr>
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<td>Garrett Winters</td>
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<td>Accountant</td>
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<td>Tokyo</td>
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<td>63</td>
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<td>2011/07/25</td>
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<td>$170,750</td>
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</tr>
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<tr>
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<td>Ashton Cox</td>
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<td>Junior Technical Author</td>
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<td>San Francisco</td>
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<td>66</td>
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<td>2009/01/12</td>
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<td>$86,000</td>
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</tr>
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<tr>
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<td>Cedric Kelly</td>
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<td>Senior Javascript Developer</td>
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<td>Edinburgh</td>
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<td>22</td>
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<td>2012/03/29</td>
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<td>$433,060</td>
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</tr>
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<tr>
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<td>Airi Satou</td>
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<td>Accountant</td>
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<td>Tokyo</td>
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<td>33</td>
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<td>2008/11/28</td>
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<td>$162,700</td>
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</tr>
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<tr>
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<td>Brielle Williamson</td>
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<td>Integration Specialist</td>
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<td>New York</td>
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<td>61</td>
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<td>2012/12/02</td>
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<td>$372,000</td>
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</tr>
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<tr>
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<td>Herrod Chandler</td>
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<td>Sales Assistant</td>
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<td>San Francisco</td>
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<td>59</td>
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<td>2012/08/06</td>
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<td>$137,500</td>
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</tr>
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<tr>
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<td>Rhona Davidson</td>
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<td>Integration Specialist</td>
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<td>Tokyo</td>
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<td>55</td>
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<td>2010/10/14</td>
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<td>$327,900</td>
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</tr>
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<tr>
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<td>Colleen Hurst</td>
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<td>Javascript Developer</td>
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<td>San Francisco</td>
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<td>39</td>
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<td>2009/09/15</td>
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<td>$205,500</td>
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</tr>
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<tr>
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<td>Sonya Frost</td>
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<td>Software Engineer</td>
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<td>Edinburgh</td>
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<td>23</td>
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<td>2008/12/13</td>
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<td>$103,600</td>
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</tr>
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<tr>
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<td>Jena Gaines</td>
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<td>Office Manager</td>
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<td>London</td>
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<td>30</td>
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<td>2008/12/19</td>
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<td>$90,560</td>
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</tr>
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<tr>
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<td>Quinn Flynn</td>
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<td>Support Lead</td>
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<td>Edinburgh</td>
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<td>22</td>
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<td>2013/03/03</td>
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<td>$342,000</td>
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</tr>
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<tr>
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<td>Charde Marshall</td>
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<td>Regional Director</td>
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<td>San Francisco</td>
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<td>36</td>
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<td>2008/10/16</td>
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<td>$470,600</td>
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</tr>
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<tr>
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<td>Haley Kennedy</td>
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<td>Senior Marketing Designer</td>
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<td>London</td>
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<td>43</td>
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<td>2012/12/18</td>
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<td>$313,500</td>
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</tr>
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<tr>
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<td>Tatyana Fitzpatrick</td>
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<td>Regional Director</td>
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<td>London</td>
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<td>19</td>
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<td>2010/03/17</td>
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<td>$385,750</td>
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</tr>
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<tr>
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<td>Michael Silva</td>
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<td>Marketing Designer</td>
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<td>London</td>
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<td>66</td>
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<td>2012/11/27</td>
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<td>$198,500</td>
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</tr>
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<tr>
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<td>Paul Byrd</td>
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<td>Chief Financial Officer (CFO)</td>
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<td>New York</td>
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<td>64</td>
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<td>2010/06/09</td>
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<td>$725,000</td>
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</tr>
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<tr>
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<td>Gloria Little</td>
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<td>Systems Administrator</td>
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<td>New York</td>
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<td>59</td>
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<td>2009/04/10</td>
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<td>$237,500</td>
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</tr>
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<tr>
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<td>Bradley Greer</td>
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<td>Software Engineer</td>
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<td>London</td>
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<td>41</td>
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<td>2012/10/13</td>
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<td>$132,000</td>
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</tr>
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<tr>
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<td>Dai Rios</td>
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<td>Personnel Lead</td>
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<td>Edinburgh</td>
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<td>35</td>
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<td>2012/09/26</td>
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<td>$217,500</td>
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</tr>
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<tr>
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<td>Jenette Caldwell</td>
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<td>Development Lead</td>
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<td>New York</td>
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<td>30</td>
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<td>2011/09/03</td>
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<td>$345,000</td>
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</tr>
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<tr>
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<td>Yuri Berry</td>
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<td>Chief Marketing Officer (CMO)</td>
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<td>New York</td>
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<td>40</td>
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<td>2009/06/25</td>
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<td>$675,000</td>
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</tr>
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<tr>
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<td>Caesar Vance</td>
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<td>Pre-Sales Support</td>
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<td>New York</td>
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<td>21</td>
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<td>2011/12/12</td>
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<td>$106,450</td>
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</tr>
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<tr>
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<td>Doris Wilder</td>
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<td>Sales Assistant</td>
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<td>Sydney</td>
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<td>23</td>
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<td>2010/09/20</td>
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<td>$85,600</td>
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</tr>
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<tr>
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<td>Angelica Ramos</td>
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<td>Chief Executive Officer (CEO)</td>
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<td>London</td>
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<td>47</td>
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<td>2009/10/09</td>
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<td>$1,200,000</td>
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</tr>
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<tr>
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<td>Gavin Joyce</td>
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<td>Developer</td>
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<td>Edinburgh</td>
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<td>42</td>
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||
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<td>2010/12/22</td>
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<td>$92,575</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Jennifer Chang</td>
|
||
|
|
<td>Regional Director</td>
|
||
|
|
<td>Singapore</td>
|
||
|
|
<td>28</td>
|
||
|
|
<td>2010/11/14</td>
|
||
|
|
<td>$357,650</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Brenden Wagner</td>
|
||
|
|
<td>Software Engineer</td>
|
||
|
|
<td>San Francisco</td>
|
||
|
|
<td>28</td>
|
||
|
|
<td>2011/06/07</td>
|
||
|
|
<td>$206,850</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Fiona Green</td>
|
||
|
|
<td>Chief Operating Officer (COO)</td>
|
||
|
|
<td>San Francisco</td>
|
||
|
|
<td>48</td>
|
||
|
|
<td>2010/03/11</td>
|
||
|
|
<td>$850,000</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Shou Itou</td>
|
||
|
|
<td>Regional Marketing</td>
|
||
|
|
<td>Tokyo</td>
|
||
|
|
<td>20</td>
|
||
|
|
<td>2011/08/14</td>
|
||
|
|
<td>$163,000</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Michelle House</td>
|
||
|
|
<td>Integration Specialist</td>
|
||
|
|
<td>Sydney</td>
|
||
|
|
<td>37</td>
|
||
|
|
<td>2011/06/02</td>
|
||
|
|
<td>$95,400</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Suki Burks</td>
|
||
|
|
<td>Developer</td>
|
||
|
|
<td>London</td>
|
||
|
|
<td>53</td>
|
||
|
|
<td>2009/10/22</td>
|
||
|
|
<td>$114,500</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Prescott Bartlett</td>
|
||
|
|
<td>Technical Author</td>
|
||
|
|
<td>London</td>
|
||
|
|
<td>27</td>
|
||
|
|
<td>2011/05/07</td>
|
||
|
|
<td>$145,000</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Gavin Cortez</td>
|
||
|
|
<td>Team Leader</td>
|
||
|
|
<td>San Francisco</td>
|
||
|
|
<td>22</td>
|
||
|
|
<td>2008/10/26</td>
|
||
|
|
<td>$235,500</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Martena Mccray</td>
|
||
|
|
<td>Post-Sales support</td>
|
||
|
|
<td>Edinburgh</td>
|
||
|
|
<td>46</td>
|
||
|
|
<td>2011/03/09</td>
|
||
|
|
<td>$324,050</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Unity Butler</td>
|
||
|
|
<td>Marketing Designer</td>
|
||
|
|
<td>San Francisco</td>
|
||
|
|
<td>47</td>
|
||
|
|
<td>2009/12/09</td>
|
||
|
|
<td>$85,675</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Howard Hatfield</td>
|
||
|
|
<td>Office Manager</td>
|
||
|
|
<td>San Francisco</td>
|
||
|
|
<td>51</td>
|
||
|
|
<td>2008/12/16</td>
|
||
|
|
<td>$164,500</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Hope Fuentes</td>
|
||
|
|
<td>Secretary</td>
|
||
|
|
<td>San Francisco</td>
|
||
|
|
<td>41</td>
|
||
|
|
<td>2010/02/12</td>
|
||
|
|
<td>$109,850</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Vivian Harrell</td>
|
||
|
|
<td>Financial Controller</td>
|
||
|
|
<td>San Francisco</td>
|
||
|
|
<td>62</td>
|
||
|
|
<td>2009/02/14</td>
|
||
|
|
<td>$452,500</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Timothy Mooney</td>
|
||
|
|
<td>Office Manager</td>
|
||
|
|
<td>London</td>
|
||
|
|
<td>37</td>
|
||
|
|
<td>2008/12/11</td>
|
||
|
|
<td>$136,200</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Jackson Bradshaw</td>
|
||
|
|
<td>Director</td>
|
||
|
|
<td>New York</td>
|
||
|
|
<td>65</td>
|
||
|
|
<td>2008/09/26</td>
|
||
|
|
<td>$645,750</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Olivia Liang</td>
|
||
|
|
<td>Support Engineer</td>
|
||
|
|
<td>Singapore</td>
|
||
|
|
<td>64</td>
|
||
|
|
<td>2011/02/03</td>
|
||
|
|
<td>$234,500</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Bruno Nash</td>
|
||
|
|
<td>Software Engineer</td>
|
||
|
|
<td>London</td>
|
||
|
|
<td>38</td>
|
||
|
|
<td>2011/05/03</td>
|
||
|
|
<td>$163,500</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Sakura Yamamoto</td>
|
||
|
|
<td>Support Engineer</td>
|
||
|
|
<td>Tokyo</td>
|
||
|
|
<td>37</td>
|
||
|
|
<td>2009/08/19</td>
|
||
|
|
<td>$139,575</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Thor Walton</td>
|
||
|
|
<td>Developer</td>
|
||
|
|
<td>New York</td>
|
||
|
|
<td>61</td>
|
||
|
|
<td>2013/08/11</td>
|
||
|
|
<td>$98,540</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Finn Camacho</td>
|
||
|
|
<td>Support Engineer</td>
|
||
|
|
<td>San Francisco</td>
|
||
|
|
<td>47</td>
|
||
|
|
<td>2009/07/07</td>
|
||
|
|
<td>$87,500</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Serge Baldwin</td>
|
||
|
|
<td>Data Coordinator</td>
|
||
|
|
<td>Singapore</td>
|
||
|
|
<td>64</td>
|
||
|
|
<td>2012/04/09</td>
|
||
|
|
<td>$138,575</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Zenaida Frank</td>
|
||
|
|
<td>Software Engineer</td>
|
||
|
|
<td>New York</td>
|
||
|
|
<td>63</td>
|
||
|
|
<td>2010/01/04</td>
|
||
|
|
<td>$125,250</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Zorita Serrano</td>
|
||
|
|
<td>Software Engineer</td>
|
||
|
|
<td>San Francisco</td>
|
||
|
|
<td>56</td>
|
||
|
|
<td>2012/06/01</td>
|
||
|
|
<td>$115,000</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Jennifer Acosta</td>
|
||
|
|
<td>Junior Javascript Developer</td>
|
||
|
|
<td>Edinburgh</td>
|
||
|
|
<td>43</td>
|
||
|
|
<td>2013/02/01</td>
|
||
|
|
<td>$75,650</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Cara Stevens</td>
|
||
|
|
<td>Sales Assistant</td>
|
||
|
|
<td>New York</td>
|
||
|
|
<td>46</td>
|
||
|
|
<td>2011/12/06</td>
|
||
|
|
<td>$145,600</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Hermione Butler</td>
|
||
|
|
<td>Regional Director</td>
|
||
|
|
<td>London</td>
|
||
|
|
<td>47</td>
|
||
|
|
<td>2011/03/21</td>
|
||
|
|
<td>$356,250</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Lael Greer</td>
|
||
|
|
<td>Systems Administrator</td>
|
||
|
|
<td>London</td>
|
||
|
|
<td>21</td>
|
||
|
|
<td>2009/02/27</td>
|
||
|
|
<td>$103,500</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Jonas Alexander</td>
|
||
|
|
<td>Developer</td>
|
||
|
|
<td>San Francisco</td>
|
||
|
|
<td>30</td>
|
||
|
|
<td>2010/07/14</td>
|
||
|
|
<td>$86,500</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Shad Decker</td>
|
||
|
|
<td>Regional Director</td>
|
||
|
|
<td>Edinburgh</td>
|
||
|
|
<td>51</td>
|
||
|
|
<td>2008/11/13</td>
|
||
|
|
<td>$183,000</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Michael Bruce</td>
|
||
|
|
<td>Javascript Developer</td>
|
||
|
|
<td>Singapore</td>
|
||
|
|
<td>29</td>
|
||
|
|
<td>2011/06/27</td>
|
||
|
|
<td>$183,000</td>
|
||
|
|
</tr>
|
||
|
|
<tr>
|
||
|
|
<td>Donna Snider</td>
|
||
|
|
<td>Customer Support</td>
|
||
|
|
<td>New York</td>
|
||
|
|
<td>27</td>
|
||
|
|
<td>2011/01/25</td>
|
||
|
|
<td>$112,000</td>
|
||
|
|
</tr>
|
||
|
|
</tbody>
|
||
|
|
<tfoot>
|
||
|
|
<tr>
|
||
|
|
<th>Name</th>
|
||
|
|
<th>Position</th>
|
||
|
|
<th>Office</th>
|
||
|
|
<th>Age</th>
|
||
|
|
<th>Start date</th>
|
||
|
|
<th>Salary</th>
|
||
|
|
</tr>
|
||
|
|
</tfoot>
|
||
|
|
</table>
|
||
|
|
</div>
|
||
|
|
<p>The Javascript shown below is used to initialise the table shown in this example:</p><code class="multiline language-js">$(document).ready(function() {
|
||
|
|
var table = $('#example').DataTable({
|
||
|
|
fuzzySearch: true
|
||
|
|
});
|
||
|
|
} );</code>
|
||
|
|
</div>
|
||
|
|
</section>
|
||
|
|
</body>
|
||
|
|
</html>
|