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r - Making the X_axis more visible?

This is the code I used, the goal is to visualize the evolution of covid in north africa

library(readr)
library(ggplot2)
library(dplyr)
covid <- read.csv("owid-covid-data.csv")
covid
covid %>%
  filter(location %in% c("Tunisia", "Morocco", "Libya")) %>%
  ggplot(aes(x = date, y= new_cases,color = location, group = location)) +
  geom_line()

This is the dataset I useddataset

as you can see the X_axis is day-to-day therefore it's a bit condensed dataset

And this is the plotplot

you can't see anything in the X_axis, I want to be able to discern the dates maybe use weeks or months to scale instead of days plot.

r

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by (71.8m points)

I converted string columns to date type as the comments suggested and it all worked out

library(readr)
library(ggplot2)
library(dplyr)
covid <- read.csv("owid-covid-data.csv")
covid
covid %>%
  filter(location %in% c("Tunisia", "Morocco", "Libya")) %>%
  mutate(date = as.Date(date))%>%
  ggplot(aes(x = date, y= new_cases,color = location, group = location)) +
  geom_line()

this is the plot after modification. plot


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