我是R的新手,我很乐意为此提供一些帮助。我正在使用以下数据集:https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2019/2019-01-29/clean_cheese.csv
我正试图首先找到以下奶酪的平均值:切达奶酪,美洲奶酪,莫扎里拉奶酪,意大利奶酪,瑞士奶酪,明斯特奶酪和蓝色奶酪。然后,我想将它们放置到折线图中,但同时显示它们。我想显示这些奶酪的平均消费量。
以下是我的代码以及到目前为止的内容。我是新来的,所以这对某些人来说可能是可怕的。
line_3 <- clean_cheese %>%
select(c(Year, Cheddar, Mozzarella, `American Other`, `Italian other`, Swiss, Muenster, Blue)) %>%
group_by(Year) %>%
summarise(avg_cheddar_cheese = mean(Cheddar), avg_mozz_cheese = mean(Mozzarella), avg_american_other = mean(`American Other`), avg_italin_other = mean(`Italian other`), avg_swiss_cheese = mean(Swiss), avg_muenster = mean(Muenster), avg_blue = mean(Blue)) %>%
pivot_longer(-c(Year)) +
ggplot(aes(x = Year, y = value, color=name,group=name)) +
geom_line() +
facet_wrap(.~name,scales = 'free_y')
ggplotly(line_3)
答案 0 :(得分:1)
您可以尝试:
library(tidyverse)
clean_cheese <- read.csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2019/2019-01-29/clean_cheese.csv')
line_3 <- clean_cheese %>%
group_by(Year) %>%
summarise(across(Cheddar:Blue, mean)) %>%
pivot_longer(cols = -Year) %>%
ggplot(aes(x = Year, y = value, color=name,group=name)) +
geom_line() +
facet_wrap(.~name,scales = 'free_y')
line_3