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<h1>ECharts</h1>
<h6>（1.3.0 <a href="doc/changelog.html" target="_blank" class="link">Changelog</a>）</h6>
<p>基于Canvas，纯Javascript图表库，提供直观，生动，可交互，可个性化定制的数据可视化图表。创新的拖拽重计算、数据视图、值域漫游等特性大大增强了用户体验，赋予了用户对数据进行挖掘、整合的能力。</p>
<p style="text-align: right;"><strong>———— 大数据时代，重新定义数据图表的时候到了</strong></p>
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<h1>ZRender</h1>
<p>一个轻量级的Canvas类库，MVC封装，数据驱动，提供类Dom事件模型，让canvas绘图大不同~~</p>
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<a class="btn btn-large btn-primary" href="http://ecomfe.github.io/zrender/" target="_blank">了解更多 &raquo;</a>
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<h2 class="featurette-heading">Architecture</h2>
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<p class="lead">ECharts (Enterprise Charts 商业产品图表库)</p>
<p>提供商业产品常用图表库，底层基于<a href="http://ecomfe.github.io/zrender/" target="_blank">ZRender</a>，创建了坐标系，图例，提示，工具箱等基础组件，并在此上构建出折线图（区域图）、柱状图（条状图）、散点图（气泡图）、K线图、饼图（环形图）、地图、力导向布局图，同时支持任意维度的堆积和多图表混合展现。</p>
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<p>&nbsp;&nbsp;<i>(IE8- supported by <a href="https://code.google.com/p/explorercanvas/" target="_blank">excanvas</a> )</i></p>
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<h2 class="featurette-heading">特色</h2>
<p>我们诚挚邀请你翻阅这份在线文档 《 <a href="doc/slide/whyEcharts.html" target="_blank">Why ECharts ?</a> 》 你可以从中更直观的体验到ECharts的特性以及快速浏览到所有图表类型。<br/>
<small>*文档中展现的个别特性在IE8-中并没有得到支持，所以建议使用IE9+、chrome、safari、firefox或opear等高级浏览器阅读这份文档。</small>
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<img src="doc/asset/img/mix.jpg" />
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<h2 class="featurette-heading">混搭</h2>
<p>混搭的图表会更具表现力也更有有趣味，ECharts提供的图表（共8类13种）支持任意混搭：</p>
<p>折线图（区域图）、柱状图（条状图）、散点图（气泡图）、K线图、<br/>饼图（环形图）、雷达图、地图、力导布局图。</p>
<p>混搭情况下一个标准图表：包含唯一图例、工具箱、数据区域缩放、值域漫游模块，一个直角坐标系（可包含一条或多条类目轴线，一条或多条值轴线，最多上下左右四条）</p>
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<div class="span6 pull-right">
<img src="doc/asset/img/draggable.gif" />
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<h2 class="featurette-heading">拖拽重计算</h2>
<p>拖拽重计算特性（专利）带来了数据统计图表从未有过的用户体验，允许用户对统计数据进行有效的提取、整合，甚至在多个图表间交换数据，赋予了用户对数据进行挖掘、整合的能力。</p>
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<div class="span6 pull-left">
<img src="doc/asset/img/dataView.gif" />
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<h2 class="featurette-heading">数据视图</h2>
<p>如果你所呈现的数据足够让用户所关心，那么他们将不满足于查看可视化的图表，要去逐一迎合他们下载保存，数据分享，加工整合已有数据等等需求？</p>
<p>或许你只要给予一个“,”分隔的数据文本他们就懂了，这就是ECharts的数据视图！当然，你可以重载数据视图的输出方法，用你独特的方式去呈现数据。</p>
<p>如果你的用户足够的高端，你甚至可以打开数据视图的编辑功能，跟拖拽重计算相比，这可是批量的数据修改！</p>
</div>
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<div class="span6 pull-right">
<img src="doc/asset/img/magicType.gif" />
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<h2 class="featurette-heading">动态类型切换</h2>
<p>很多图表类型本身所表现的能力是相似的，但由于数据差异、表现需求和个人喜好的不同导致最终图表所呈现的张力又大不一样，比如折线图和柱状图的选择总是让人头疼。</p>
<p>ECharts提供了动态类型切换，让用户随心所欲的切换到他所需要的图表类型。</p>
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<img src="doc/asset/img/legendSelected.gif" />
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<h2 class="featurette-heading">图例开关</h2>
<p>多系列数据的同时展现呈现出丰富内容，但如何让用户切换到他所关心的个别系列上？</p>
<p>ECharts提供了方便快捷的图例开关，可以随时切换到你所关心的数据系列。</p>
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<img src="doc/asset/img/datazoom.gif" />
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<h2 class="featurette-heading">数据区域选择</h2>
<p>数据可以是无限的，但显示空间总是有限的，数据区域选择组件提供了大数据量中漫游的能力，让用户选择并呈现他所关心的数据区域。</p>
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<div class="featurette">
<div class="span5 pull-left">
<img src="doc/asset/img/dataRange.gif" />
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<h2 class="featurette-heading">值域漫游</h2>
<p>基于坐标的图表（如地图、散点图）通过色彩变化表现数值的大小能直观形象的展示数据分布。</p>
<p>但如何聚焦到我所关心的数值上？我们创造了称为值域漫游的功能，让你可以轻松进行数值筛选。</p>
</div>
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<div class="span5 pull-right">
<img src="doc/asset/img/scatter.gif" />
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<h2 class="featurette-heading">大规模散点图</h2>
<p>如何展现成千上百万的离散数据从而找出他们的分布和聚类？貌似除了用专业的统计工具（如MATLAB）外别无选择？</p>
<p>不，ECharts发明了基于像素的大规模散点图（专利），一个900 x 400的散点区域就能够毫不重复的呈现35万组数据，这对于常规的应用，用现代浏览器就足以轻松展现百万级的散点数据！</p>
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<img src="doc/asset/img/dynamic1.gif"/>
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<img src="doc/asset/img/dynamic2.gif" style="height:175px"/>
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<h2 class="featurette-heading">动态数据添加</h2>
<p>如果你需要展示有实时变化的数据，相信这个动态接口会对你很有帮助。</p>
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<hr class="featurette-divider">
<div class="featurette">
<div class="span6 pull-right">
<img src="doc/asset/img/mark.gif" />
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<h2 class="featurette-heading">标线辅助</h2>
<p>趋势线？平均线？上升通道？支持位？专业的你自然知道该怎么用</p>
<p>提供标线辅助在K线图中可是必要的功能！当然，ECharts中的任何图表都可以使用。</p>
</div>
<hr class="featurette-divider">
<div class="featurette">
<div class="span6 pull-left">
<img src="doc/asset/img/multiStack.png" />
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<h2 class="featurette-heading">多维度堆积</h2>
<p>支持多系列，多维度的数据堆积，配合自动伸缩的图形实体和直角坐标系，能呈现出更有内涵的统计图表~</p>
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<img src="doc/asset/img/doc/multiControl.jpg" style="height:145px"/>
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<img src="doc/asset/img/custom.png"/>
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<h2 class="featurette-heading">个性化定制</h2>
<p>超过500个可配置选项结合多级控制设计满足高度定制的个性化需求。</p>
<a href="doc/doc.html" target="_blank">详细文档 &raquo;</a>
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<h2 class="featurette-heading">事件交互</h2>
<p>可以捕获的用户交互和数据变化事件实现图表与外界的联动。<a href="doc/example/event.html" target="_blank">try this &raquo;</a></p>
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