prg 3

Author

likhitha

Implement an R function to generate a line graph depicting the trend of a time-series dataset , with separate lines for each graoup, utilizing ggplot2’s group aesthetic.

Step1: Load necessary libraries

library(ggplot2)

Warning: package 'ggplot2' was built under R version 4.4.3

library(dplyr)

Warning: package 'dplyr' was built under R version 4.4.3


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)

Warning: package 'tidyr' was built under R version 4.4.3

Step 2: Load the Built-in AirPassengers Dataset

#convert time series data to a dataframe
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 rows
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

Step 3:

plot_time_series <- function(data, x_col, y_col, group_col, title ="AirPassenger Trends") {
  ggplot(data, aes_string(x = x_col, y = y_col, color = group_col, group  = group_col)) +
    geom_line(size = 1.2) + #line graph
    geom_point(size = 2) + #add points for clarity
    labs(title = title,
         x = "Year",
         y = "Number of Passengers",
         color = "Year") + 
    theme_minimal() +
    theme(legend.position = "top")
}

#call the function
plot_time_series(data, "Date", "Passengers", "Year", "Trend 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.