假设有以下数据框:
我想做的是为每个“Number_Flows”、“Number_srcaddr”等绘制“最小值”、“最大值”和“平均值”。我希望用柱状图显示值,但也可以采用其他方法,只要我得到(例如下面发布的可重复示例)总共22个图表(每天11个)。
我尝试了各种方法,但没有成功。
head(df, 9)
Day variable value
1 2015-10-18 Number_Flows.minimum 401.0000
2 2015-10-18 Number_Flows.maximum 2068.0000
3 2015-10-18 Number_Flows.average 1578.9474
4 2015-10-18 Number_srcaddr.minimum 95.0000
5 2015-10-18 Number_srcaddr.maximum 292.0000
6 2015-10-18 Number_srcaddr.average 222.6316
7 2015-10-18 Number_dstaddr.minimum 65.0000
8 2015-10-18 Number_dstaddr.maximum 411.0000
9 2015-10-18 Number_dstaddr.average 202.5789
我想做的是为每个“Number_Flows”、“Number_srcaddr”等绘制“最小值”、“最大值”和“平均值”。我希望用柱状图显示值,但也可以采用其他方法,只要我得到(例如下面发布的可重复示例)总共22个图表(每天11个)。
我尝试了各种方法,但没有成功。
library(dplyr)
library(ggplot2)
ggplot(df %>% mutate(group = paste(Day, gsub('\\..*', '', variable), sep = '-')), aes(x = Day, y = value))+geom_bar(stat = 'identity')+facet_wrap(~group)
ggplot(df %>% mutate(group = paste(Day, gsub('\\..*', '', variable), sep = '-')), aes(x = Day, y = value))+geom_bar(stat = 'identity')+facet_wrap(~group)
ggplot(df %>% mutate(group = paste(Day, gsub('\\..*', '', variable), sep = '-')), aes(x = Day, y = value))+geom_line()+facet_wrap(~group)
数据
dput(df)
structure(list(Day = structure(c(1445115600, 1445115600, 1445115600,
1445115600, 1445115600, 1445115600, 1445115600, 1445115600, 1445115600,
1445115600, 1445115600, 1445115600, 1445115600, 1445115600, 1445115600,
1445115600, 1445115600, 1445115600, 1445115600, 1445115600, 1445115600,
1445115600, 1445115600, 1445115600, 1445115600, 1445115600, 1445115600,
1445115600, 1445115600, 1445115600, 1445115600, 1445115600, 1445115600,
1445202000, 1445202000, 1445202000, 1445202000, 1445202000, 1445202000,
1445202000, 1445202000, 1445202000, 1445202000, 1445202000, 1445202000,
1445202000, 1445202000, 1445202000, 1445202000, 1445202000, 1445202000,
1445202000, 1445202000, 1445202000, 1445202000, 1445202000, 1445202000,
1445202000, 1445202000, 1445202000, 1445202000, 1445202000, 1445202000,
1445202000, 1445202000, 1445202000), class = c("POSIXct", "POSIXt"
), tzone = ""), variable = c("Number_Flows.minimum", "Number_Flows.maximum",
"Number_Flows.average", "Number_srcaddr.minimum", "Number_srcaddr.maximum",
"Number_srcaddr.average", "Number_dstaddr.minimum", "Number_dstaddr.maximum",
"Number_dstaddr.average", "Sum_packets.minimum", "Sum_packets.maximum",
"Sum_packets.average", "Sum_duration_nannosecs.minimum", "Sum_duration_nannosecs.maximum",
"Sum_duration_nannosecs.average", "Average_Duration.minimum",
"Average_Duration.maximum", "Average_Duration.average", "Average_Bytes.minimum",
"Average_Bytes.maximum", "Average_Bytes.average", "Bytes_per_packet.minimum",
"Bytes_per_packet.maximum", "Bytes_per_packet.average", "Sum_of_Bytes.minimum",
"Sum_of_Bytes.maximum", "Sum_of_Bytes.average", "Actual_Batch_Duration_secs.minimum",
"Actual_Batch_Duration_secs.maximum", "Actual_Batch_Duration_secs.average",
"packets_per_second.minimum", "packets_per_second.maximum", "packets_per_second.average",
"Number_Flows.minimum", "Number_Flows.maximum", "Number_Flows.average",
"Number_srcaddr.minimum", "Number_srcaddr.maximum", "Number_srcaddr.average",
"Number_dstaddr.minimum", "Number_dstaddr.maximum", "Number_dstaddr.average",
"Sum_packets.minimum", "Sum_packets.maximum", "Sum_packets.average",
"Sum_duration_nannosecs.minimum", "Sum_duration_nannosecs.maximum",
"Sum_duration_nannosecs.average", "Average_Duration.minimum",
"Average_Duration.maximum", "Average_Duration.average", "Average_Bytes.minimum",
"Average_Bytes.maximum", "Average_Bytes.average", "Bytes_per_packet.minimum",
"Bytes_per_packet.maximum", "Bytes_per_packet.average", "Sum_of_Bytes.minimum",
"Sum_of_Bytes.maximum", "Sum_of_Bytes.average", "Actual_Batch_Duration_secs.minimum",
"Actual_Batch_Duration_secs.maximum", "Actual_Batch_Duration_secs.average",
"packets_per_second.minimum", "packets_per_second.maximum", "packets_per_second.average"
), value = c(401, 2068, 1578.94736842105, 95, 292, 222.631578947368,
65, 411, 202.578947368421, 4181, 130567, 33860.2631578947, 2647278,
10876533, 5438303.63157895, 1543.937984, 20335.58603, 4202.062837,
692.4193548, 77207.90476, 14689.4305788105, 231.6654261, 943.7592654,
465.315475931579, 1244970, 123223816, 19865244, 9, 30, 27.1578947368421,
179, 4352, 1265.94736842105, 609, 2352, 1578.94736842105, 89,
299, 219.105263157895, 92, 402, 193.578947368421, 1124, 60473,
19022.6842105263, 944317, 20088618, 5254959.84210526, 1550.602627,
9749.356239, 3236.99523905263, 258.9441708, 17451.96293, 5789.86937011053,
140.2998221, 717.4807734, 424.926870810526, 157697, 33505216,
9510806.21052632, 5, 30, 24.9473684210526, 114, 2179, 772.947368421053
)), .Names = c("Day", "variable", "value"), row.names = c(NA,
66L), class = "data.frame")
ggplot(aes(x = as.character(Day), y = value, color = var))
。 - talat