<!DOCTYPE html> <html lang="zh-CN"> <head> <meta charset="utf-8"> <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1, user-scalable=no"> <title>Why Echarts?</title> <link rel="stylesheet" href="css/why-echarts-m.css"> <script src="../asset/js/jquery.min.js"></script> <script src="js/dist/echarts.js"></script> <style type="text/css"> .error { color: #f66; } .success { color: orange; } .echarts-tooltip { text-align: left; } </style> </head> <body> <div class="page"> <div id="p-up" class="page-up disabled">《 上一页</div> <div id="p-down" class="page-down">下一页 》</div> </div> <div id="content"> <section class="section active" style="left:0" id="first"> <img src="../asset/img/about/HelloWorld2.png" alt="ECharts" style="max-width:100%;max-height:100%;margin-bottom:10px;"> <h1>- ECharts Mobile Launch -</h1> <small style="line-height:38px;">ECharts-m 1.0.0 ( beta )</small> </section> <section class="section"> <h1 style="padding:20px 0">业界已经有多如牛毛的图表库了!</h1> <hr/> <h2 style="padding:20px 0"> Why <strong style="color:#9acd32">ECharts</strong> ? </2> </section> <section class="section"> <h1 style="padding:20px 0">深度数据互动可视化</h1> <p class="fragment"> <small>打破单纯的视觉呈现,拥有<strong>互动图形用户界面(GUI)</strong>的数据可视化。数据呈现<strong>不仅是诉说</strong>,而是允许用户对所呈现数据进行<strong>挖掘、整合</strong>,让可视化成为<strong>辅助人们进行视觉化思考</strong>的方式。 </small> </p> <br/> <hr> <p style="padding:20px 0"> <small>让我们看看<a href="http://ecomfe.github.io/echarts/" target="_blank">ECharts</a>为此目标做了什么?</small> </p> </section> <section class="section"> <div class="main" optionKey="calculable"></div> </section> <section class="section"> <div class="main" optionKey="magicType"></div> </section> <section class="section"> <div class="main" optionKey="dataRange"></div> </section> <section class="section"> <div class="main" optionKey="dataZoom"></div> </section> <section class="section"> <div class="main" optionKey="timeline"></div> </section> <section class="section"> <div class="main" optionKey="scatter"></div> </section> <section class="section"> <div class="main" optionKey="force"></div> </section> <section class="section"> <div class="main" optionKey="gauge"></div> </section> <section class="section"> <div class="main" optionKey="funnel"></div> </section> <section class="section"> <div class="main" optionKey="mix"></div> </section> <section class="section"> <div class="main" style="height:500px;background-color:transparent" optionKey="effect2"></div> </section> <section class="section"> <div class="main" style="height:500px;background-color:transparent" optionKey="effect3"></div> </section> <section class="section"> <h4>ECharts VS Excel</h4> <p class="fragment"> <small>虽说Excel输出的图表毫无交互性可言,但其丰富的图表类型和配置项,简单易用,无疑是最常用的制作数据统计的工具。那看看ECharts和Excel都支持哪些图表类型?</small> </p> <div> <table style="margin-top:20px;"> <thead> <tr><th>#</th><th>ECharts</th><th>Excel</th></tr> </thead> <tbody> <tr><td>柱状图</td><td>Yes</td><td>Yes</td></tr> <tr><td>条形图</td><td>Yes</td><td>Yes</td></tr> <tr><td>折线图</td><td>Yes</td><td>Yes</td></tr> <tr><td>面积图</td><td>Yes</td><td>Yes</td></tr> <tr><td>散点图</td><td>Yes</td><td>Yes</td></tr> <tr><td>气泡图</td><td>Yes</td><td>Yes</td></tr> <tr><td>K线图</td><td>Yes</td><td>Yes</td></tr> <tr><td>饼图</td><td>Yes</td><td>Yes</td></tr> <tr><td>环形图</td><td>Yes</td><td>Yes</td></tr> <tr><td>雷达图</td><td>Yes</td><td>Yes</td></tr> <tr><td>力导布局图</td><td>Yes</td><td class='error'>No</td></tr> <tr><td>和弦图</td><td>Yes</td><td class='error'>No</td></tr> <tr><td>曲面图</td><td class='error'>No</td><td>Yes</td></tr> <tr><td>地图</td><td>Yes</td><td class='error'>No</td></tr> <tr><td>事件河流图</td><td>Yes</td><td class='error'>No</td></tr> </tbody> </table> </div> </section> <section class="section"> <h4>ECharts VS Highcharts (1)</h4> <p class="fragment"> <small>业界有无数js图表库,不乏优秀的代表,如chartjs,amCharts,FusionCharts,flot,gRaphaël等等。有的是免费甚至开源的,有的则是商业的,百度一下就能找到他们。</small> <br/> <small>无法跟他们一一对比,在这选择了知名度很高的Highcharts,一个优秀,成熟的商业图表库。 <br/>先看看ECharts和Highcharts都支持哪些图表类型? </small> </p> <div> <table> <thead> <tr><th>#</th><th>ECharts</th><th>Highcharts</th></tr> </thead> <tbody> <tr><td>柱状图(条形图)</td><td>Yes</td><td>Yes</td></tr> <tr><td>折线图(面积图)</td><td>Yes</td><td>Yes</td></tr> <tr><td>饼图(环形图)</td><td>Yes</td><td>Yes</td></tr> <tr><td>散点图(气泡图)</td><td>Yes</td><td>Yes</td></tr> <tr><td>雷达图</td><td>Yes</td><td>Yes</td></tr> <tr><td>K线图</td><td>Yes</td><td class='success'>Highstock</td></tr> <tr><td>力导布局图</td><td>Yes</td><td class='error'>No</td></tr> <tr><td>和弦图</td><td>Yes</td><td class='error'>No</td></tr> <tr><td>地图</td><td>Yes</td><td class='success'>Highmap</td></tr> <tr><td>事件河流图</td><td>Yes</td><td class='error'>No</td></tr> <tr><td>特色图表(如仪表盘)</td><td>Yes</td><td>Yes</td></tr> </tbody> </table> </div> </section> <section class="section"> <h4>ECharts VS Highcharts (2)</h4> <p class="fragment"> <small>再来看看ECharts和Highcharts都有哪些特性?</small> </p> <div> <table style="width:105%"> <thead> <tr><th>#</th><th>ECharts</th><th>Highcharts</th></tr> </thead> <tbody> <tr><td>拖拽重计算</td><td>Yes</td><td class='error'>No</td></tr> <tr><td>数据视图</td><td>Yes</td><td class='error'>No</td></tr> <tr><td>动态类型切换</td><td>Yes</td><td class='error'>No</td></tr> <tr><td>值域漫游</td><td>Yes</td><td class='error'>No</td></tr> <tr><td>大规模散点</td><td>Yes</td><td class='error'>No</td></tr> <tr><td>炫光特效</td><td>Yes</td><td class='error'>No</td></tr> <tr><td>多图联动</td><td>Yes</td><td class='error'>No</td></tr> <tr><td>数据区域缩放</td><td>Yes</td><td>Yes</td></tr> <tr><td>图例开关</td><td>Yes</td><td>Yes</td></tr> <tr><td>多维度堆积</td><td>Yes</td><td>Yes</td></tr> <tr><td>混搭</td><td>Yes</td><td>Yes</td></tr> <tr><td>图片导出</td><td>Yes</td><td>Yes</td></tr> <tr> <td>License<br/>&<br/>Pricing</td> <td class='success'>Baidu<br/><a href="https://github.com/ecomfe/echarts/blob/master/LICENSE.txt" target="_blank">BSD</a><br/>Free</td> <td class='success'>Non-commercial<br/>free under CC3.0<br/>Commercial licenses<br/>$90~$3600</td> </tr> </tbody> </table> </div> </section> <section class="section"> <h4>这就是ECharts</h4> <p class="fragment"> <small>我们只是尽我们所能为你呈现数据<span style="color:#f50">真实</span>的一面,</small> </p> <p class="fragment"> <small>并且提供了一些直观、易用的交互方式以方便你对所展现数据进行<span style="color:#f50">挖掘、提取、修正或整合</span>,<br/><strong>(拖拽重计算、数据视图)</strong></small> </p> <p class="fragment"> <small>让你可以更加<span style="color:#f50">专注</span>于你所关心地方,无论是系列选择、区域缩放还是数值筛选,<br/><strong>(图例开关、数据区域缩放、值域漫游)</strong></small> </p> <p class="fragment"> <small>让你可以有<span style="color:#f50">不同的方式解读同样的数据</span>。<br/><strong>(动态类型切换,多维度堆积,多图联动,混搭)</strong></small> </p> <hr/> <div class="fragment"> <p> <small><strong>重新定义数据图表的时候到了</strong>,浏览ECharts所输出的图表,你不再只是个“读者”,你可以参与其中。 <br/><br/>这就是<a href="http://ecomfe.github.io/echarts/" target="_blank" sdtyle="margin:0">ECharts</a>,我们正在打造的一个拥有<strong>互动图形用户界面(GUI)</strong>的数据可视化工具。</small> </p> </div> </section> <section class="section"> <h4>致谢</h4> <p class="fragment"><small> <a href="http://ecomfe.github.io/echarts/" target="_blank">ECharts</a>的发展离不开他们的卓越贡献:<br/> <a href="http://weibo.com/kenerlinfeng" target="_blank">@Kener-林峰</a> <a href="http://weibo.com/pissang" target="_blank">@pissang</a> <a href="http://weibo.com/errorrik" target="_blank">@errorrik</a> <a href="http://weibo.com/forain" target="_blank">@diysimon</a> <a href="http://weibo.com/u/2113446991" target="_blank">@宿爽</a> <a href="http://weibo.com/u/2810393271" target="_blank">@邓红启</a> <a href="http://weibo.com/wind108369" target="_blank">@杨骥wind108369</a> <a href="http://weibo.com/loutongbing" target="_blank">@娄同兵</a> </small></p><br/> <p class="fragment"> <small>以及他们的摇旗呐喊、推波助澜、煽风点火...<br/> <a href="http://weibo.com/taiyun" target="_blank">@cloud_wei</a> <a href="http://weibo.com/u/2042635201" target="_blank">@李湛lizhan</a> <a href="http://weibo.com/wfsr" target="_blank">@i我佛山人</a> <a href="http://weibo.com/firede" target="_blank">@赵雷_Firede</a> <a href="http://weibo.com/zhouyummy" target="_blank">@Yummy_zhou</a> </small></p><br/> <p class="fragment"> <small>还有,能得到你们的支持,真好...<br/> <a href="http://weibo.com/u/2006785117" target="_blank">@财财某</a> <a href="http://weibo.com/shenhaolaoshi" target="_blank">@沈浩老师</a> <a href="http://weibo.com/cosname" target="_blank">@统计之都</a> <a href="http://weibo.com/u/1494921451" target="_blank">@大数据文摘</a> </small></p><br/> <p class="fragment"> <small>当然,我们期待你的<a href="https://github.com/ecomfe/echarts" target="_blank">加入</a>~</small> </p> </section> <section class="section"> <img src="../asset/img/echarts-logo2.png" alt="ECharts" style="width:100px;margin-top:50px;"> <h1 style="padding:50px 0 20px;">- THE END -</h1> <p>Thank you</p> <br/> <div> <small>Created by <a href="http://weibo.com/kenerlinfeng" target="_blank">@Kener-林峰</a></small> </div> </section> </div> <script src="./js/why-echarts-m.js"></script> </body> </html>