如何使饼图仅命名为前n位性能 [英] how to make a pie graph only name top n performance

问题描述

我在r中没有经常使用饼图，有没有办法制作饼图并只显示前10个带有百分比的名称?

I haven't been using pie graph a lot in r, is there a way to make a pie graph and only show the top 10 names with percentage?

例如，这是我的数据的简单版本:

For example, here's a simple version of my data:

> data
   count    METRIC_ID
1      8           71
2      2         1035
3      5         1219
4      4         1277
5      1         1322
6      3         1444
7      5         1462
8     17         1720
9      6         2019
10     2         2040
11     1         2413
12    11         2489
13    24         2610
14    29         2737
15     1         2907
16     1         2930
17     2         2992
18     1         2994
19     2         3020
20     4         3045
21    35         3222
22     2         3245
23     5         3306
24     2         3348
25     2         3355
26     2         3381
27     3         3383
28     4         3389
29     6         3404
30     1         3443
31    22         3465
32     3         3558
33    15         3600
34     3         3730
35     6         3750
36     1         3863
37     1         3908
38     5         3913
39     3         3968
40     9         3972
41     2         3978
42     5         4077
43     4         4086
44     3         4124
45     2         4165
46     3         4205
47     8         4206
48     4         4210
49    12         4222
50     4         4228

我想查看每个METRIC_ID分布的计数:

and I want to see the count of each METRIC_ID's distribution:

pie(data$count, data$METRIC_ID)

但是此图表标记了图形上的每个METRIC_ID，当我有100多个METRIC_ID时，它看起来就像一团糟.如何仅在图形上标记前n个(例如n = 5)METRIC_ID，并仅显示该n个METRIC_ID的计数?

But this Chart marks every single METRIC_ID on the graph, when I have over 100 METRIC_ID, it looks like a mess. How can I only mark the top n (for example, n=5) METRIC_ID on the graph, and show the count of that n METRIC_ID only?

谢谢您的帮助！

推荐答案

要禁止打印某些标签，请将它们设置为NA.试试这个:

To suppress plotting of some labels, set them to NA. Try this:

labls <- data$METRIC_ID
labls[data$count <  3] <- NA
pie(data$count, paste(labls))

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