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implement an R function to generate a line graph depicting the trend of a time-series dataset with separate lines for each group, utilizing ggplot2’s group aesthetic.
STEP 1 :
library(ggplot2)
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(tidyr)STEP 2 : Load the built-in AirPassengers dataset
data<- data.frame(
Date= seq(as.Date("1949-01-01"),
by="month",
length.out = length(AirPassengers)),
Passengers = as.numeric(AirPassengers),
Year = as.factor(format(seq(as.Date("1949-01-01"),by
= "month", length.out = length(AirPassengers)), "%Y"))
)
#display first few row
head(data,n=20) Date Passengers Year
1 1949-01-01 112 1949
2 1949-02-01 118 1949
3 1949-03-01 132 1949
4 1949-04-01 129 1949
5 1949-05-01 121 1949
6 1949-06-01 135 1949
7 1949-07-01 148 1949
8 1949-08-01 148 1949
9 1949-09-01 136 1949
10 1949-10-01 119 1949
11 1949-11-01 104 1949
12 1949-12-01 118 1949
13 1950-01-01 115 1950
14 1950-02-01 126 1950
15 1950-03-01 141 1950
16 1950-04-01 135 1950
17 1950-05-01 125 1950
18 1950-06-01 149 1950
19 1950-07-01 170 1950
20 1950-08-01 170 1950
#function to plot time-series
plot_time_series <- function(data,x_col,y_col,group_col, title="Air Passenger Trends"){
ggplot(data,aes_string(x= x_col, y= y_col, color= group_col,group= group_col))+
geom_line(size= 1.2)+
geom_point(size= 2)+
labs(title=title,
x="Year",
y="Number of Passenges",
color= "Year")+
theme_minimal()+
theme(legend.position = "top")
}
plot_time_series(data, "Date", "Passengers","Year", "Trends of Airline Passengers Over Time")Warning: `aes_string()` was deprecated in ggplot2 3.0.0.
ℹ Please use tidy evaluation idioms with `aes()`.
ℹ See also `vignette("ggplot2-in-packages")` for more information.
Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
ℹ Please use `linewidth` instead.