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Add legend to multiple time-series plot using ggplot

I have two time series data that I want to show on the same graph. Both series have three columns: Date, County and Value. Here is my code:

#Data
Series1 <- data.frame(Date = c(2000,2001,2000,2001), County = c("a", "a", "b", "b"),Total = c(100,150,190,130))
Series2 <- data.frame(Date = c(2000,2001,2000,2001), County = c("a", "a", "b", "b"),Total = c(180,120,140,120))

#Plot data
ggplot() + 
    geom_line(data = Series1, aes(x = Date, y = Total, color = County), linetype="solid") +
    geom_line(data = Series2, aes(x = Date, y = Total, color = County), linetype="dashed")

The plot looks like this:

阴谋

Now I just need to add one legend showing that solid line represents Series1 and dashed line represents Series2. How can I do this?

Legends are created automatically when you use aes() to map a data column to an aesthetic. You don't have a data column that you're mapping to the linetype aesthetic, so we need to create one.

Series1$series = 1
Series2$series = 2
all_series = rbind(Series1, Series2)

Now we've all the data together and plotting is easy:

ggplot(all_series,
       aes(x = Date, y = Total, color = County, linetype = factor(series))) + 
    geom_line()

Automatic legend, only one geom_line call, using ggplot as it's meant to be used: with tidy data.

You are really close...

ggplot() + 
      geom_line(data = Series1, aes(x = Date, y = Total, color = County), linetype="solid") +
      geom_line(data = Series2, aes(x = Date, y = Total, color = County), linetype="dashed")+ scale_linetype_manual()

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