Loading all of the packages needed.
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(ggplot2)
library(readr)
Chart_6 <- read_csv("C:/Users/user/Pictures/New folder/Chart--6.csv")
## Rows: 44 Columns: 3
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (2): Domicile, AcademicYear
## dbl (1): Number
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
ggplot(data = Chart_6, aes(x = AcademicYear, y = Number,group=Domicile, color = Domicile)) +
geom_point()+
geom_line()+
ggtitle("Number of students enrolled by Domicile,
Academic years 2017/18 to 2020/21")+
labs(y= "Number of Students")+
theme(legend.position='bottom')