D3.js(Wilkinson型)Dot Plot示例

时间:2014-09-20 00:03:36

标签: javascript r d3.js plot

我已经搜索过,但无法在D3中找到点图的示例。是否有人知道这种类型的绘图已经在任何基于D3构建的图表库中实现,或者基础D3中的示例?

为了清楚起见,点图类似于直方图,只是点被叠加在一起代替直方图的条形图。在R中,可以使用ggplot包创建。

qplot(x=rnorm(200),geom="dotplot")

enter image description here

编辑:

正如Lars所指出的那样,this question的答案解决了当数据聚合成具有列中点数的数组时的问题。在我的情况下,我想显示关于每个点的交互式信息(例如,具有实际底层数据值的工具提示),因此我无法以这种方式聚合。以下是我想要绘制的一些示例数据。

data = [0.4897,0.7685,-0.7367,-0.7483,-0.5149,0.0448,-1.7294,1.8667,1.0116,0.3896,-0.4267,-0.1161,-1.4618,-1.3198,-1.999,1.2883,1.7123,-1.5902,-0.7937,1.0359,-0.485,-0.2391,0.4136,-0.2506,0.7333,1.1902,0.7132,-0.3096,0.4793,-0.7779,-0.19,-0.0855,1.4498,1.0196,0.537,0.5341,0.5363,0.2664,-0.8586,-0.5667,1.2263,1.508,-0.139,-0.3015,-0.3679,0.483,0.9381,-0.1298,-0.1024,1.3079,-0.9554,1.167,0.3245,1.0424,-0.3589,1.3943,2.2537,-1.3225,0.8814,-0.2723,0.3782,0.8982,0.4167,0.1614,0.5659,-0.4672,-0.7634,-0.8591,-1.0887,0.4374,0.3618,-0.7074,-0.9812,-0.6216,1.0774,0.9979,-0.799,1.186,0.5704,1.8626,1.4321,0.3179,1.6356,0.1646,2.1265,-0.2409,0.0043,1.1503,-1.615,-0.677,-0.5573,1.9954,0.8123,-0.8011,0.2088,0.5007,0.9113,-0.8742,-0.5857,0.409,-1.0702,-0.016,0.6822,1.0133,-1.2022,0.0561,0.8704,-1.5982,1.6676,-0.0344,-1.739,-2.0362,-1.1955,0.7838,0.5037,-0.2123,0.2951,1.0192,0.97,0.2384,-0.2223,-0.1448,0.9924,1.5586,1.4238,-2.4781,-0.2456,-1.8822,-0.4424,-0.5941,-0.9948,1.8733,-0.2242,-1.5359,-0.103,0.7378,0.7691,0.069,0.3952,-0.4267,-0.2077,-0.4327,-1.1705,0.0399,-0.6586,0.1043,2.9475,-0.4968,-0.5432,0.4924,1.2173,0.177,0.2861,-0.709,1.4922,-1.1633,-0.084,-1.2275,0.5193,0.2404,-1.4495,-0.3346,0.3153,-0.573,0.4139,-0.9114,1.4844,0.1166,0.8734,2.182,-0.3765,2.0888,1.1178,0.2684,-0.5803,0.893,0.2127,-0.107,0.0569,1.0699,0.2975,1.3017,0.4541,1.8337,0.7915,1.705,-0.2708,-0.9626,1.1994,-1.6666,1.2642,0.5244,-1.1757,0.9278,0.882,-0.8993,1.2435,0.3841,0.6815,-0.1459] 

2 个答案:

答案 0 :(得分:0)

您可以使用d3.histogram功能来存储数据,然后使用嵌套结构绘制圆圈。

请参阅this bl.ocks以获取代码和自动更新点图的实时演示,并在.mouseover点时显示交互式信息(工具提示)。

答案 1 :(得分:-1)

点图与直方图或合并无关。涉及d3.histogram的方法不会产生点图。 Plase在https://www.cs.uic.edu/~wilkinson/Publications/dotplots.pdf阅读了我文章的转载。在那里给出了正确的算法。