update appendix
This commit is contained in:
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* title_sha: 文章标题的md5唯一标识字符串
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* title_raw: 文章原标题
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* class_name: 文章所属类别名称
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4. class_topic_relation_tree.html # 子研究领域类别与主题对应关系（需要本地下载后用浏览器打开查看）
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4. class_topic_relation_tree.html # 子研究领域类别与主题对应关系（需要本地下载后用浏览器打开查看）
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5. overall_hotness_change_trend.html # 代码克隆领域研究热度随时间变化情况
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6. sub-fields_hotness_change_trend.html # 代码克隆各子研究领域热度随时间变化情况
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"146" "application porting" "应用程序的移植，利用代码克隆检测的方法，将程序移植到新的环境中" "2" "other fields based on clone detection technique"
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"147" "legacy software reuse" "旧版软件重用方法模型，利用代码克隆检测技术，对之前的软件进行复用" "2" "other fields based on clone detection technique"
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"148" "clone avoidance" "有文章通过copy-paste-modify的方法实现为ide的插件，让人在编程的时候就进行修改" "2" "other fields based on clone detection technique"
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"149" "survey and tutorial" "1"
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"150" "technical report" "1. 是对之前相关文章的总结性分析研究
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"149" "repackage application detection" "利用代码克隆检测技术对重新打包的软件应用进行检测" "2" "other fields based on clone detection technique"
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"150" "reprogramming based on code clone" "基于代码克隆方法的重编码方法" "2" "other fields based on clone detection technique"
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"151" "copyright infringement detection" "基于代码克隆检测方法的软件版权侵权检测" "2" "other fields based on clone detection technique"
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"152" "survey and tutorial" "1"
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"153" "technical report" "1. 是对之前相关文章的总结性分析研究
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2. 不是对克隆检测工具的对比研究（这一部分属于analysis based on technique）
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3. 没有严格遵循文献综述的基本规范和要求，并且自己没有声明是文献综述" "2" "survey and tutorial"
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"151" "paper review" "the literature review for code clone" "3" "technical report"
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"152" "literature review" "1. 文献综述的文章
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"154" "paper review" "the literature review for code clone" "3" "technical report"
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"155" "literature review" "1. 文献综述的文章
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2. 提示：严格遵循文献综述的流程 或 在标题等地方明确描述该文章为文献综述（literature review）
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3. 包括工具类、克隆可视化、克隆演化、克隆重构、克隆管理、介绍抄袭检测中存在的问题" "2" "survey and tutorial"
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"153" "clone visualization" "1. 文章提到了自己创建的代码克隆相关可视化技术
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"156" "clone visualization" "1. 文章提到了自己创建的代码克隆相关可视化技术
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2. 提示：这里的可视化是文章的主要贡献，该可视化工具或技术可能解决不同的问题，包括：代码克隆演化分析、代码克隆重构等。但文章的主要贡献还是仅限于可视化工具而已
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3. 包括：用户关系的use case是什么并如何可视化这些use case" "1"
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THIS EXAMPLE WAS DOWNLOADED FROM https://echarts.apache.org/examples/zh/editor.html?c=custom-bar-trend
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-->
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<div id="container" style="height: 100%"></div>
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<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@5/dist/echarts.min.js"></script>
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<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@5/dist/extension/dataTool.min.js"></script>
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-->
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<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts-gl@2/dist/echarts-gl.min.js"></script>
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-->
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<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts-stat@latest/dist/ecStat.min.js"></script>
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-->
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<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@5/map/js/china.js"></script>
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<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@5/map/js/world.js"></script>
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-->
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<script type="text/javascript" src="https://api.map.baidu.com/api?v=2.0&ak=<Your Key Here>"></script>
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<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@5/dist/extension/bmap.min.js"></script>
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var myChart = echarts.init(dom);
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var app = {};
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var option;
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var yearCount = 10;
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var categoryCount = 1;
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var xAxisData = ["All"];
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var customData = [];
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var legendData = ["trend", "2011", "2012", "2013", "2014", "2015", "2016", "2017", "2018", "2019", "2020"];
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var dataList = [];
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dataList.push([97])
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dataList.push([158])
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dataList.push([146])
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dataList.push([159])
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dataList.push([131])
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dataList.push([144])
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dataList.push([141])
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dataList.push([113])
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dataList.push([122])
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dataList.push([83])
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customData.push(['All', 97, 158, 146, 159, 131, 144, 141, 113, 122, 83])
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var encodeY = [1,2,3,4,5,6,7,8,9,10];
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function renderItem(params, api) {
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var xValue = api.value(0);
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var currentSeriesIndices = api.currentSeriesIndices();
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var barLayout = api.barLayout({
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barGap: '30%', barCategoryGap: '20%', count: currentSeriesIndices.length - 1
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var points = [];
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for (var i = 0; i < currentSeriesIndices.length; i++) {
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var seriesIndex = currentSeriesIndices[i];
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if (seriesIndex !== params.seriesIndex) {
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var point = api.coord([xValue, api.value(seriesIndex)]);
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point[0] += barLayout[i - 1].offsetCenter;
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point[1] -= 20;
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points.push(point);
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}
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}
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var style = api.style({
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stroke: api.visual('color'),
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fill: null
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});
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return {
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type: 'polyline',
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shape: {
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points: points
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},
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style: style
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};
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}
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option = {
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tooltip: {
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trigger: 'axis'
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},
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legend: {
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data: legendData
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},
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dataZoom: [{
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show: false,
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type: 'slider',
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start: 50,
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end: 70
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type: 'inside',
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start: 50,
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end: 70
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}],
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data: xAxisData
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name: 'trend',
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renderItem: renderItem,
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itemStyle: {
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borderWidth: 2
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animation: false,
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name: legendData[index + 1],
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itemStyle: {
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opacity: 0.5
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data: data
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}))
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};
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if (option && typeof option === 'object') {
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myChart.setOption(option);
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}
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</script>
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</body>
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</html>
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@ -0,0 +1,160 @@
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<!--
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||||
THIS EXAMPLE WAS DOWNLOADED FROM https://echarts.apache.org/examples/zh/editor.html?c=custom-bar-trend
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-->
|
||||
<!DOCTYPE html>
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||||
<html style="height: 100%">
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||||
<head>
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||||
<meta charset="utf-8">
|
||||
</head>
|
||||
<body style="height: 100%; margin: 0">
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||||
<div id="container" style="height: 100%"></div>
|
||||
|
||||
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@5/dist/echarts.min.js"></script>
|
||||
<!-- Uncomment this line if you want to dataTool extension
|
||||
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@5/dist/extension/dataTool.min.js"></script>
|
||||
-->
|
||||
<!-- Uncomment this line if you want to use gl extension
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||||
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts-gl@2/dist/echarts-gl.min.js"></script>
|
||||
-->
|
||||
<!-- Uncomment this line if you want to echarts-stat extension
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||||
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts-stat@latest/dist/ecStat.min.js"></script>
|
||||
-->
|
||||
<!-- Uncomment this line if you want to use map
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||||
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@5/map/js/china.js"></script>
|
||||
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@5/map/js/world.js"></script>
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||||
-->
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||||
<!-- Uncomment these two lines if you want to use bmap extension
|
||||
<script type="text/javascript" src="https://api.map.baidu.com/api?v=2.0&ak=<Your Key Here>"></script>
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||||
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@5/dist/extension/bmap.min.js"></script>
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||||
-->
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||||
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||||
<script type="text/javascript">
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||||
var dom = document.getElementById("container");
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||||
var myChart = echarts.init(dom);
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var app = {};
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||||
var option;
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||||
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||||
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var yearCount = 10;
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var categoryCount = 10;
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var xAxisData = ["clone detection technique", "clone analysis", "clone evolution", "clone refactoring", "other fields", "survey and tutorial", "clone visualization", "clone evaluation", "benchmark", "clone management"];
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var customData = [];
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var legendData = ["trend", "2011", "2012", "2013", "2014", "2015", "2016", "2017", "2018", "2019", "2020"];
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var encodeY = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
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var dataList = [];
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dataList.push([46, 23, 13, 8, 7, 4, 5, 0, 0, 2])
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dataList.push([90, 27, 23, 10, 15, 6, 6, 0, 1, 1])
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dataList.push([80, 20, 23, 21, 12, 7, 3, 3, 1, 2])
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dataList.push([82, 26, 20, 20, 8, 13, 7, 4, 4, 2])
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dataList.push([89, 13, 8, 11, 9, 11, 7, 5, 3, 2])
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dataList.push([82, 19, 11, 13, 17, 14, 2, 5, 2, 1])
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dataList.push([79, 25, 20, 9, 8, 5, 6, 1, 3, 1])
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dataList.push([74, 17, 12, 8, 8, 8, 2, 2, 3, 1])
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dataList.push([78, 14, 12, 5, 7, 11, 7, 6, 2, 0])
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dataList.push([52, 12, 5, 5, 2, 8, 7, 2, 2, 2])
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customData.push(['clone detection technique', 46, 90, 80, 82, 89, 82, 79, 74, 78, 52])
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customData.push(['clone analysis', 23, 27, 20, 26, 13, 19, 25, 17, 14, 12])
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customData.push(['clone evolution', 13, 23, 23, 20, 8, 11, 20, 12, 12, 5])
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customData.push(['clone refactoring', 8, 10, 21, 20, 11, 13, 9, 8, 5, 5])
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customData.push(['other fields', 7, 15, 12, 8, 9, 17, 8, 8, 7, 2])
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customData.push(['survey and tutorial', 4, 6, 7, 13, 11, 14, 5, 8, 11, 8])
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customData.push(['clone visualization', 5, 6, 3, 7, 7, 2, 6, 2, 7, 7])
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customData.push(['clone evaluation', 0, 0, 3, 4, 5, 5, 1, 2, 6, 2])
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customData.push(['benchmark', 0, 1, 1, 4, 3, 2, 3, 3, 2, 2])
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customData.push(['clone management', 2, 1, 2, 2, 2, 1, 1, 1, 0, 2])
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function renderItem(params, api) {
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var xValue = api.value(0);
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var currentSeriesIndices = api.currentSeriesIndices();
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var barLayout = api.barLayout({
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barGap: '30%', barCategoryGap: '20%', count: currentSeriesIndices.length - 1
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||||
});
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||||
var points = [];
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for (var i = 0; i < currentSeriesIndices.length; i++) {
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var seriesIndex = currentSeriesIndices[i];
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if (seriesIndex !== params.seriesIndex) {
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var point = api.coord([xValue, api.value(seriesIndex)]);
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point[0] += barLayout[i - 1].offsetCenter;
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point[1] -= 20;
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points.push(point);
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}
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||||
}
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var style = api.style({
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||||
stroke: api.visual('color'),
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||||
fill: null
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||||
});
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||||
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return {
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||||
type: 'polyline',
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shape: {
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points: points
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||||
},
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||||
style: style
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||||
};
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||||
}
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||||
option = {
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tooltip: {
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||||
trigger: 'axis'
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||||
},
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||||
legend: {
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||||
data: legendData
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||||
},
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||||
dataZoom: [{
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||||
show: false,
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||||
type: 'slider',
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||||
start: 50,
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||||
end: 70
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||||
}, {
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||||
type: 'inside',
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start: 50,
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end: 70
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}],
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||||
xAxis: {
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||||
show: true,
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||||
data: xAxisData,
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axisLabel: {
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interval: 0
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},
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},
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||||
yAxis: {},
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||||
series: [{
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||||
type: 'custom',
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||||
name: 'trend',
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itemStyle: {
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||||
borderWidth: 2
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||||
},
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encode: {
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x: 0,
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};
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||||
if (option && typeof option === 'object') {
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myChart.setOption(option);
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||||
}
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||||
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||||
</script>
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||||
</body>
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||||
</html>
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upsetplot.png
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upsetplot.png
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Before Width: | Height: | Size: 104 KiB After Width: | Height: | Size: 104 KiB |
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