我有一个按邮政编码和月份分隔数据的组列表。我无法在折线图中绘制数据。
data <- read.csv("./data/rental_12_11_2015_365.csv")
data$Listing.Contract.Date <- as.Date(data$Listing.Contract.Date, format = "%Y-%m-%d")
data$Month_Int <- as.numeric(strftime(data$Listing.Contract.Date,"%m"))
data$Month_Char <- month.abb[data$Month_Int]
groups_zipcode <- with(data, split(data, list(Zip.Code, Month_Char)))
summaryofgroups <- lapply(groups_zipcode, function(group){nrow(group)})
ggplot(data = groups_zipcode,aes(x = Month_Char,y = summaryofgroups,group = Zip.Code,col = Zip.Code))+ geom_line()
输出是我在下面但是在所有月份等等。我没有粘贴所有内容。 ggplot正在生成“错误:ggplot2不知道如何处理类列表的数据”。
$`75013.Apr`
[1] 11
$`75025.Apr`
[1] 39
$`75035.Apr`
[1] 71
$`75070.Apr`
[1] 103
$`75071.Apr`
[1] 43
$`75075.Apr`
[1] 15
$`75093.Apr`
[1] 13
$`75013.Aug`
[1] 18
$`75025.Aug`
[1] 39
$`75035.Aug`
[1] 80
$`75070.Aug`
[1] 93
$`75071.Aug`
[1] 49
$`75075.Aug`
[1] 16
$`75093.Aug`
[1] 19
解决方案:
您好我能找到解决方案。这就是我想要做的。祝他们在类似情况下好运。
inventory_graph <- ggplot(data = data, aes(x=Month_Char, fill = as.factor(Zip.Code))) + geom_histogram(position = "dodge")
答案 0 :(得分:2)
您的数据格式正确,您只需使用ggplot
:
#Some fake data in the same format as you pasted
fake_data <- data.frame("Zip" = factor(rep(c(12345, 98765, 56473), 4)),
"Month" = factor(rep(c("April", "May", "June", "July"), each=3), levels=c("April", "May", "June", "July")),
"Count" = sample(20:50, 12))
library(ggplot2)
ggplot(data = fake_data, aes(x=Month, y=Count, group=Zip, col=Zip)) + geom_line()