Stack Overflow Asked by user13953317 on December 20, 2021
my data
is
year female male unknown
1929 0 50 0
1930 2 70 7
1931 0 400 1
1932 20 40 15
1933 25 120 0
I need to create a simple line chart with 3 lines where I can see gender changes over years.
I have tried something like
data <- melt(data, id.vars = 'year', variable.name = 'Gender')
ggplot(data, aes(year, value)) + geom_line(aes(colour = Gender))
but it shows me an empty chart and a comment
geom_path: Each group consists of only one observation. Do you need to
adjust the group aesthetic?
How can I create a chart where I will have three lines, one for each gender?
Also, my date is bigger than this one, it contains 92 years so when I plot something, I get a huge mess of years on the x-axis
Is there a way to somehow fix it?
With tidyverse
, we pivot to 'long' format, specify the group
and color
with the column name 'name' column (default naming)
library(dplyr)
library(tidyr)
library(ggplot2)
data %>%
pivot_longer(cols = -year) %>%
ggplot(aes(x = year, y = value, group = name, color = name)) +
geom_line()
data <- structure(list(year = 1929:1933, female = c(0L, 2L, 0L, 20L,
25L), male = c(50L, 70L, 400L, 40L, 120L), unknown = c(0L, 7L,
1L, 15L, 0L)), class = "data.frame", row.names = c(NA, -5L))
Answered by akrun on December 20, 2021
How about
matplot(data$year,data[,-1], type="l")
?
Answered by Ben Bolker on December 20, 2021
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