I want to combine these 2 graphs.
I want to see them in the same panel one on each other.
Plot 1 - shows the % of academics from the total job seekers.
Plot 2 - shows the % of woman seekers from the total job seekers. thanks for the help!
# PLOT 1
academic_plot <- ggplot(q1Subset, aes(MONTH, percAcademics))
geom_point(color="green")
stat_smooth(method = "lm", formula = y ~ x, geom = "smooth")
theme_minimal() ggtitle("Percentage of Academic Seekers")
ylab("Academic Seekers (%)")
academic_plot
# PLOT 2
women_plot <- ggplot(q1Subset, aes(MONTH, percWomen))
geom_point(color="red")
stat_smooth(method = "lm", formula = y ~ x, geom = "smooth")
theme_minimal() ggtitle("Percentage of Women Seekers")
ylab("Women Seekers (%)")
women_plot
CodePudding user response:
If you mean combining them on one grid, rawr's comment is helpful. However, if you mean combining them where you'd like to see a plot for the percentage of academic job seekers and highlighting the percentage of women, then I would suggest having one plot representing the percentage of academics from the total job seekers, and highlight that of women's with some colour. I cannot see your data, but I would assume there are percentages of men and women seekers. I would call it SeekersGender
, and write the code below:
academic_plot <- ggplot(q1Subset, aes(MONTH, percAcademics))
geom_point(aes(colour = factor(SeekersGender)))
stat_smooth(method = "lm", formula = y ~ x, geom = "smooth")
theme_minimal() ggtitle("Percentage of Academic Seekers")
ylab("Academic Seekers (%)")
academic_plot
This shall give each gender a certain colour and show a legend of the genders and their perspective colours, as well as highlight the women points of the academic seekers.