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new f804c3c7 fix links and typos in feature
f804c3c7 is described below
commit f804c3c73954ed9e5c2d201f0f77a7b1f230c6e5
Author: plainheart <[email protected]>
AuthorDate: Mon Jan 2 23:14:14 2023 +0800
fix links and typos in feature
---
_jade/en/feature.jade | 12 ++++++------
_jade/zh/feature.jade | 12 ++++++------
2 files changed, 12 insertions(+), 12 deletions(-)
diff --git a/_jade/en/feature.jade b/_jade/en/feature.jade
index fafccc80..12ab07f2 100644
--- a/_jade/en/feature.jade
+++ b/_jade/en/feature.jade
@@ -24,9 +24,9 @@ block content
p.page-detail-desc Apache ECharts<sup>TM</sup> is an
open-sourced JavaScript visualization tool, which can run fluently on PC and
mobile devices. It is compatible with most modern Web Browsers, e.g.,
IE9/10/11, Chrome, Firefox, Safari and so on. ECharts depends on <a
href="https://github.com/ecomfe/zrender"; target="_blank">ZRender</a>, a graphic
rendering engine, to create intuitive, interactive, and highly-customizable
charts.
h2#chart-types Abundant Chart Types
- p The basic chart types ECharts supports include <a
href="option.html#series-line" target="_blank">line series</a>, <a
href="option.html#series-line" target="_blank">bar series</a>, <a
href="option.html#series-scatter" target="_blank">scatter series</a>, <a
href="option.html#series-pie" target="_blank">pie charts</a>, <a
href="option.html#series-candlestick" target="_blank">candle-stick series</a>,
<a href="option.html#series-boxplot" target="_blank">boxplot series</a> fo [...]
- p Besides the built-in chart types, ECharts also provide the
<a href="option.html#series-custom">customed series</a> for users to create a
specific chart types. To use it, you should only pass in a callback function
named <em>renderItem</em>, and return any graphic elements you wish to draw to
according to the data. What makes it even better is that it can interact with
the existing ECharts components and you don't have to worry about the
interaction with them.
- p If the default package size is too large for you, you can
choose the chart types and components you need and download in <a
href="builder.html">the online builder</a>.
+ p The basic chart types ECharts supports include <a
href="option.html#series-line" target="_blank">line series</a>, <a
href="option.html#series-bar" target="_blank">bar series</a>, <a
href="option.html#series-scatter" target="_blank">scatter series</a>, <a
href="option.html#series-pie" target="_blank">pie charts</a>, <a
href="option.html#series-candlestick" target="_blank">candle-stick series</a>,
<a href="option.html#series-boxplot" target="_blank">boxplot series</a> for
[...]
+ p Besides the built-in chart types, ECharts also provide the
<a href="option.html#series-custom" target="_blank">custom series</a> for users
to create a specific chart types. To use it, you should only pass in a callback
function named <em>renderItem</em>, and return any graphic elements you wish to
draw to according to the data. What makes it even better is that it can
interact with the existing ECharts components and you don't have to worry about
the interaction with them.
+ p If the default package size is too large for you, you can
choose the chart types and components you need and download in <a
href="builder.html" target="_blank">the online builder</a>.
h2#dataset Multiple Data Format Ready-To-Use
p The built-in <code>dataset</code> attribute from ECharts
v4.0 supports data formats including two-dimensional table, key-value object,
and so on. The map from data to graphic can be easily set by the
<code>encode</code> attribute. This is a more intuitive way to think when
developing a chart, and it saves much time writing data-converting steps for
developers. Futhermore, it saves memory since different components can share on
piece of data rather than copying.
@@ -50,15 +50,15 @@ block content
p ECharts supports rendering charts in the form of Canvas, SVG
(v4.0+), and VML. VML is compatible with lower versions of IE; SVG reduces the
memory cost on mobiles; and Canvas can easily handle large data visualization
and special rendering effects. Different rendering methods provide more
choices, making ECharts perform better in different scenarios.
- p In addition to PC and mobile browsers, ECharts can also be
used with node-canvas on Node for efficient server-side rendering (SSR). And
ECharts support Wechat Applet rendering since v4.0.
+ p In addition to PC and mobile browsers, ECharts can also be
used with node-canvas on Node for efficient server-side rendering (SSR). And
ECharts supports <a href="https://github.com/ecomfe/echarts-for-weixin";
target="_blank">WeChat MiniProgram</a> since v4.0.
- p Community contributors also provide us with a variety of
different language extensions. For example, <a
href="https://github.com/pyecharts/pyecharts"; target="_blank">pyecharts</a> for
Python, <a href="https://github.com/cosname/recharts";
target="_blank">recharts</a> for R, <a
href="https://github.com/randyzwitch/ECharts.jl";>ECharts.jl</a> for Julia and
so on.
+ p Community contributors also provide us with a variety of
different language extensions. For example, <a
href="https://github.com/pyecharts/pyecharts"; target="_blank">pyecharts</a> for
Python, <a href="https://github.com/cosname/recharts";
target="_blank">recharts</a> for R, <a
href="https://github.com/randyzwitch/ECharts.jl"; target="_blank">ECharts.jl</a>
for Julia and so on.
p We hope that the platform and language will not be the limit
for everyone to use ECharts for visualization!
h2#interaction Interactive Data Exploration In-Depth
p Interaction is an important means of mining information from
data. Overview first, zoom filtering to view details as needed is a basic
requirement for data visualization interaction.
- p ECharts has been on the road of <em>interaction</em>. We
have provided <a href="option.html#legend" target="_blank">legend</a>, <a
href="option.html#visualMap" target="_blank">visualMap</a>, <a
href="option.html#dataZoom" target="_blank">dataZoom</a>, <a
href="option.html#tooltip" target="_blank">tooltip</a>, <a
href="option.html#brush">brushing</a> and other ready-to-use interactive
components, which can perform interactive operations such as multi-dimensional
data scr [...]
+ p ECharts has been on the road of <em>interaction</em>. We
have provided <a href="option.html#legend" target="_blank">legend</a>, <a
href="option.html#visualMap" target="_blank">visualMap</a>, <a
href="option.html#dataZoom" target="_blank">dataZoom</a>, <a
href="option.html#tooltip" target="_blank">tooltip</a>, <a
href="option.html#brush" target="_blank">brushing</a> and other ready-to-use
interactive components, which can perform interactive operations such as
multi-dime [...]
//-
iframe(data-src="#{host}/examples/en/view.html?c=map-parallel-prices&reset=1&edit=1",
width="60%", height="540")
iframe(data-src="#{host}/examples/en/view.html?c=scatter-matrix&reset=1&edit=1",
width="60%", height="540")
diff --git a/_jade/zh/feature.jade b/_jade/zh/feature.jade
index 5573dc26..c18729cb 100644
--- a/_jade/zh/feature.jade
+++ b/_jade/zh/feature.jade
@@ -21,8 +21,8 @@ block content
p.page-detail-desc ECharts，一个使用 JavaScript 实现的开源可视化库，可以流畅的运行在
PC 和移动设备上，兼容当前绝大部分浏览器（IE9/10/11，Chrome，Firefox，Safari等），底层依赖矢量图形库 <a
href="https://github.com/ecomfe/zrender";
target="_blank">ZRender</a>，提供直观，交互丰富，可高度个性化定制的数据可视化图表。
h2#chart-types 丰富的可视化类型
- p ECharts 提供了常规的<a href="option.html#series-line"
target="_blank">折线图</a>、<a href="option.html#series-bar"
target="_blank">柱状图</a>、<a href="option.html#series-scatter"
target="_blank">散点图</a>、<a href="option.html#series-pie"
target="_blank">饼图</a>、<a href="option.html#series-candlestick"
target="_blank">K线图</a>，用于统计的<a href="option.html#series-boxplot"
target="_blank">盒形图</a>，用于地理数据可视化的<a href="option.html#series-map"
target="_blank">地图</a>、<a href="option.html#series-hea [...]
- p 除了已经内置的包含了丰富功能的图表，ECharts 还提供了<a
href="option.html#series-custom">自定义系列</a>，只需要传入一个<em>renderItem</em>函数，就可以从数据映射到任何你想要的图形，更棒的是这些都还能和已有的交互组件结合使用而不需要操心其它事情。
+ p ECharts 提供了常规的<a href="option.html#series-line"
target="_blank">折线图</a>、<a href="option.html#series-bar"
target="_blank">柱状图</a>、<a href="option.html#series-scatter"
target="_blank">散点图</a>、<a href="option.html#series-pie"
target="_blank">饼图</a>、<a href="option.html#series-candlestick"
target="_blank">K线图</a>，用于统计的<a href="option.html#series-boxplot"
target="_blank">盒形图</a>，用于地理数据可视化的<a href="option.html#series-map"
target="_blank">地图</a>、<a href="option.html#series-hea [...]
+ p 除了已经内置的包含了丰富功能的图表，ECharts 还提供了<a
href="option.html#series-custom"
target="_blank">自定义系列</a>，只需要传入一个<em>renderItem</em>函数，就可以从数据映射到任何你想要的图形，更棒的是这些都还能和已有的交互组件结合使用而不需要操心其它事情。
p
你可以在下载界面下载包含所有图表的构建文件，如果只是需要其中一两个图表，又嫌包含所有图表的构建文件太大，也可以在在线构建中选择需要的图表类型后自定义构建。
h2#dataset 多种数据格式无需转换直接使用
@@ -47,15 +47,15 @@ block content
p ECharts 支持以 Canvas、SVG（4.0+）、VML 的形式渲染图表。VML 可以兼容低版本 IE，SVG
使得移动端不再为内存担忧，Canvas 可以轻松应对大数据量和特效的展现。不同的渲染方式提供了更多选择，使得 ECharts 在各种场景下都有更好的表现。
- p 除了 PC 和移动端的浏览器，ECharts 还能在 node 上配合 node-canvas
进行高效的服务端渲染（SSR）。从 4.0 开始我们还和微信小程序的团队合作，提供了 ECharts 对小程序的适配！
+ p 除了 PC 和移动端的浏览器，ECharts 还能在 node 上配合 node-canvas
进行高效的服务端渲染（SSR）。从 4.0 开始我们还和微信小程序的团队合作，提供了 ECharts 对<a
href="https://github.com/ecomfe/echarts-for-weixin";
target="_blank">微信小程序</a>的适配！
- p 社区热心的贡献者也为我们提供了丰富的其它语言扩展，比如 Python 的<a
href="https://github.com/pyecharts/pyecharts"; target="_blank">pyecharts</a>，R
语言的 <a href="https://github.com/cosname/recharts"; target="_blank">recharts</a>,
Julia 的 <a href="https://github.com/randyzwitch/ECharts.jl";>ECharts.jl</a> 等等。
+ p 社区热心的贡献者也为我们提供了丰富的其它语言扩展，比如 Python 的<a
href="https://github.com/pyecharts/pyecharts"; target="_blank">pyecharts</a>，R
语言的 <a href="https://github.com/cosname/recharts"; target="_blank">recharts</a>,
Julia 的 <a href="https://github.com/randyzwitch/ECharts.jl";
target="_blank">ECharts.jl</a> 等等。
p 我们希望平台和语言都不会成为大家使用 ECharts 实现可视化的限制！
h2#interaction 深度的交互式数据探索
p 交互是从数据中发掘信息的重要手段。“总览为先，缩放过滤按需查看细节”是数据可视化交互的基本需求。
- p ECharts 一直在<em>交互</em>的路上前进，我们提供了 <a
href="option.html#legend" target="_blank">图例</a>、<a
href="option.html#visualMap" target="_blank">视觉映射</a>、<a
href="option.html#dataZoom" target="_blank">数据区域缩放</a>、<a
href="option.html#tooltip" target="_blank">tooltip</a>、<a
href="option.html#brush">数据刷选</a>等开箱即用的交互组件，可以对数据进行多维度数据筛取、视图缩放、展示细节等交互操作。
+ p ECharts 一直在<em>交互</em>的路上前进，我们提供了 <a
href="option.html#legend" target="_blank">图例</a>、<a
href="option.html#visualMap" target="_blank">视觉映射</a>、<a
href="option.html#dataZoom" target="_blank">数据区域缩放</a>、<a
href="option.html#tooltip" target="_blank">tooltip</a>、<a
href="option.html#brush"
target="_blank">数据刷选</a>等开箱即用的交互组件，可以对数据进行多维度数据筛取、视图缩放、展示细节等交互操作。
//-
iframe(data-src="#{host}/examples/zh/view.html?c=map-parallel-prices&reset=1&edit=1",
width="60%", height="540")
iframe(data-src="#{host}/examples/zh/view.html?c=scatter-matrix&reset=1&edit=1",
width="60%", height="540")
@@ -83,7 +83,7 @@ block content
h2#aria 无障碍访问（4.0+）
- p 当我们说到“可视化”的时候，我们往往很自然地将它与“看得⻅”联系在一起，但其
实这是片面的。W3C制定了无障碍富互联网应用规范集(WAI-ARIA，the Accessible Rich Internet Applications
Suite)，致力于使得网⻚内容和网⻚应 用能够被更多残障人士访问。
+ p 当我们说到“可视化”的时候，我们往往很自然地将它与“看得⻅”联系在一起，但其 实这是片面的。W3C
制定了无障碍富互联网应用规范集(WAI-ARIA，the Accessible Rich Internet Applications
Suite)，致力于使得网⻚内容和网⻚应 用能够被更多残障人士访问。
p ECharts 4.0 遵从这一规范，支持自动根据图表配置项智能生成描述，使得盲人可
以在朗读设备的帮助下了解图表内容，让图表可以被更多人群访问！
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