来源：Python数据科学 原创
作者：东哥起飞
最近日常逛逛技术平台，偶然间发现了一个非常牛逼的可视化学习网站。东哥之前在和技术群里也推荐过一些，但和这个相比我觉得真是太逊色了。
好了，话不多说，我迫不及待地想分享下这个神器。
这个网站的名字叫 图之典，它是由一群数据可视化爱好者共同建立起来的，这些人来自各大公司，利用工作之余的时间攒起的这个网站，这里由衷地敬佩下。
下面我们看看究竟什么样。
1. 图之典主页
http://tuzhidian.com/
首先，这个主页的设计就是我非常喜欢的风格，简单清晰，第一眼就让人有特别清爽的感觉，不愧是专业的前端可视化工程师做出来的东西。
可看到，网站共罗列了22种可视化图形。东哥仔细看了下，这些已经基本涵盖了我们日常的大部分需求了。
图形上方是按照不同维度对可视化图形进行筛选的项，有常用、形状、图类、功能几个维度。
如果你脑海中有了某种构思或者模糊的概念，确又不知道该用什么图比较合适的时候，就可以通过筛选功能来挑选。当然，如果你对某种图形早就耳熟能详，那也可以直接找到并点开学习。
2. 可视化学习
然后我重点说下图之典的内容。
首先，每种图形都会按照一定的目录顺序进行介绍，目录包括：
-
图表简介 -
图表属性 -
图表详解 -
相似图表 -
设计案例 -
使用场景 -
制作教程 -
专项工具 -
学习资源 -
参考文献 -
贡献者
为了更好的给大家展示，我们选一个桑吉图介绍下。这个一般搞数据分析或者可视化都知道，是一个流量分配的图形，在具体的业务分析上常用到。
图表简介
首先就是介绍桑基图的基本介绍。
图表属性/图表详解
然后说明了图表的所属类别、功能和元素构成，像桑基图就包含了流量、节点、边三个基本元素。下图中的小例子已经很清晰了。
适用场景
这里就会提到了桑基图不适合什么场景，比如：
-
不适合边的宽度不等，因为桑基图遵循能力守恒原则
-
变量太多不适合，建议先归类
相似图表
按照不同维度分类相似图形，比如漏斗图从功能上和桑基图是相似的，都有流量转化的功能，而外型上则与平行坐标系更相似。
3. 总结
这个精巧的小网站非常适合初学者学习，尤其是理解数据如何通过可视化展示的，有哪些常用的可视化图形，这些对于分析使用非常有帮助。
不足的地方就是仅仅是文字教程，不能在线制作图形或者实操，不过已经非常不错了。在线制图的可视化工具下次我再介绍一个
原创不易，留下你的三连是对我最大的支持
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255, 255)" data-darkmode-color-15860613985508="rgb(51, 51, 51)" data-darkmode-original-color-15860613985508="rgb(51, 51, 51)" data-darkmode-bgimage-15860613985508="1" data-darkmode-bgcolor-15870356070738="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15870356070738="rgb(255, 255, 255)" data-darkmode-color-15870356070738="rgb(51, 51, 51)" data-darkmode-original-color-15870356070738="rgb(51, 51, 51)" data-darkmode-bgimage-15870356070738="1" data-darkmode-bgcolor-15870356071023="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15870356071023="rgb(255, 255, 255)" data-darkmode-color-15870356071023="rgb(51, 51, 51)" data-darkmode-original-color-15870356071023="rgb(51, 51, 51)" data-darkmode-bgimage-15870356071023="1" data-darkmode-bgcolor-15882384789136="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15882384789136="rgb(255, 255, 255)" data-darkmode-color-15882384789136="rgb(51, 51, 51)" data-darkmode-original-color-15882384789136="rgb(51, 51, 51)" data-darkmode-bgimage-15882384789136="1" data-darkmode-bgcolor-15882396318564="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15882396318564="rgb(255, 255, 255)" data-darkmode-color-15882396318564="rgb(51, 51, 51)" data-darkmode-original-color-15882396318564="rgb(51, 51, 51)" data-darkmode-bgimage-15882396318564="1" data-darkmode-bgcolor-15900529136199="rgb(36, 36, 36)" data-darkmode-original-bgcolor-15900529136199="rgb(255, 255, 255)" data-darkmode-color-15900529136199="rgb(51, 51, 51)" data-darkmode-original-color-15900529136199="rgb(51, 51, 51)" data-darkmode-bgimage-15900529136199="1" style="caret-color: rgb(255, 0, 0);font-size: 14px;color: rgb(51, 51, 51);text-align: left;"><span style="font-family: 楷体, 楷体_GB2312, SimKai;">点这里，进菜鸟学PythonB站大本营</span><span style="color: rgb(63, 63, 63);font-size: 16px;letter-spacing: 0.544px;caret-color: rgb(51, 51, 51);font-family: mp-quote, -apple-system-font, BlinkMacSystemFont, "Helvetica Neue", "PingFang SC", "Hiragino Sans GB", "Microsoft YaHei UI", "Microsoft YaHei", Arial, sans-serif;"></span></section></section></section></section></section></section></section>本篇文章来源于: 菜鸟学Python
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