Ggplot2 line chart gives “geom_path: Each group consist of only one observation. Do you need to adjust the group aesthetic?

931    Asked by AryanTandon in Python , Asked on Apr 14, 2021
With this data frame ("df"):
year   pollution
1 1999 346.82000
2 2002 134.30882
3 2005 130.43038
4 2008  88.27546
I try to create a line chart like this:
 plot5 <- ggplot(df, aes(year, pollution)) +
           geom_point() +
           geom_line() +
           labs(x = "Year", y = "Particulate matter emissions (tons)", title = "Motor vehicle emissions in Baltimore")
The error I get is:
geom_path: Each group consist of only one observation. Do you need to adjust the group aesthetic?
The chart appears as a scatter plot even though I want a line chart. I tried to replace geom_line() with geom_line(aes(group = year)) but that didn't work.
In an answer, I was told to convert the year to a factor variable. I did and the problem persists. This is the output of str(df) and dput(df):
'data.frame':   4 obs. of  2 variables:
 $ year     : num  1 2 3 4
 $ pollution: num [1:4(1d)] 346.8 134.3 130.4 88.3
  ..- attr(*, "dimnames")=List of 1
  .. ..$ : chr  "1999" "2002" "2005" "2008"
structure(list(year = c(1, 2, 3, 4), pollution = structure(c(346.82, 
134.308821199349, 130.430379885892, 88.275457392443), .Dim = 4L, .Dimnames = list(
    c("1999", "2002", "2005", "2008")))), .Names = c("year", 
"pollution"), row.names = c(NA, -4L), class = "data.frame")

Answered by Aryan Tandon

To remove geom_path: each group consists of only one observation. Do you need to adjust the group aesthetic? error, use any one of the following ways:



Convert factor columns to numeric:

In the data frame below the year column requires to be converted to a numeric to get rid of this error:

df <- data.frame(year = c("1999", "2002", "2005", "2008"), 
                 pollution = c(346.82,134.308821199349, 130.430379885892, 88.275457392443))
 str(df)
'data.frame': 4 obs. of 2 variables:
 $ year : Factor w/ 4 levels "1999","2002",..: 1 2 3 4
 $ pollution: num 346.8 134.3 130.4 88.3
To convert to numeric:
df$year = as.numeric(as.character(df$year))
str(df)
'data.frame': 4 obs. of 2 variables:
 $ year : num 1999 2002 2005 2008
 $ pollution: num 346.8 134.3 130.4 88.3
Plotting the values:
ggplot(df, aes(year, pollution)) +
  geom_point() +
  geom_line() +
  labs(x = "Year", y = "Particulate matter emissions (tons)",title = "Motor vehicle emissions in Baltimore")
Output:
You can also add group = 1 into the ggplot or geom_line aes() because for line graphs, the data points must be grouped so that it knows which points to connect.i.e.,
ggplot(df, aes(year, pollution, group = 1)) + geom_point() + geom_line() + labs(x = "Year", y = "Particulate matter emissions (tons)", title = "Motor vehicle emissions in Baltimore")

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