【发布时间】:2022-01-07 18:23:57
【问题描述】:
您好,如果这篇文章的格式有误,我很抱歉,我从未在此表单上发布过。我正在寻求在一个图表上创建条形图和折线图的帮助。我下面的代码是我到目前为止所拥有的。但是,当我实际绘制图表时,我会附上图表。我哪里错了?
applemusic_subs_rev <- read_csv("apple_music_revenue_and_subs.csv", show_col_types = F)
applemusic_subs_rev2 <- subset(applemusic_subs_rev, select = c(1:3)) [-c(7),]
applemusic_subs_rev2 <- applemusic_subs_rev2 |> filter(!is.na(Revenue)) |>
mutate(Revenue = gsub("[\\$,]", "", Revenue),
Revenue = gsub("billion", "", Revenue),
Users = gsub("million", "", Users))
applemusic_subs_rev2$Revenue <- as.numeric(as.character(applemusic_subs_rev2$Revenue))
applemusic_subs_rev2$Users <- as.numeric(as.character(applemusic_subs_rev2$Users)) |>
mutate(Revenue = Revenue*1000)
applemusic_subs_rev2 <- applemusic_subs_rev2|>
mutate(Revenue = Revenue*1000)
#Revenue in Millions
df <- data.frame(applemusic_subs_rev2)
#Data frame for graph
ggplot(df) +
geom_bar(aes(x = Year , weight = Users), fill = "grey70") +
geom_line(aes(x = Year, y = Revenue, colour = "yellow")) +
scale_colour_manual(name = "Legend", labels = c("Value in 100"), values = c("black"))
输入数据
structure(list(Year = c(2015, 2016, 2017, 2018, 2019, 2020, NA
), Revenue = c(NA, "$0.6 billion", "$1.1 billion", "$1.8 billion",
"$2.8 billion", "$4.1 billion", NA), Users = c("11 million",
"20 million", "27 million", "40 million", "50 million", "72 million",
NA), ...4 = c(NA, NA, NA, NA, NA, NA, NA)), row.names = c(NA,
-7L), spec = structure(list(cols = list(Year = structure(list(), class = c("collector_double",
"collector")), Revenue = structure(list(), class = c("collector_character",
"collector")), Users = structure(list(), class = c("collector_character",
"collector")), ...4 = structure(list(), class = c("collector_logical",
"collector"))), default = structure(list(), class = c("collector_guess",
"collector")), delim = ","), class = "col_spec"), problems = <pointer: 0x00000250d76dea50>, class = c("spec_tbl_df",
"tbl_df", "tbl", "data.frame"))
【问题讨论】:
-
欢迎来到 SO!它有助于提供数据以提供帮助。您可以使用
dput(applemusic_subs_rev)来做到这一点,然后编辑您的问题并粘贴结果。另外,看看:How to create a Minimal, Reproducible Example