Line plots (geom_line) in R Programming - Mini Project: Build & Apply

Line plots (geom_line)

📖 Scenario: You are a data analyst working with monthly sales data for a small store. You want to create a simple line plot to see how sales change over the months.

🎯 Goal: Build a line plot using geom_line() in R with ggplot2 to visualize monthly sales data.

📋 What You'll Learn

Create a data frame called sales_data with two columns: month and sales with exact values.

Create a variable called plot_title with the exact string 'Monthly Sales Over Time'.

Use ggplot() with geom_line() to create a line plot using sales_data.

Add the title stored in plot_title to the plot using ggtitle().

Print the plot.

💡 Why This Matters

🌍 Real World

Line plots are used to show trends over time, like sales, temperature, or stock prices.

💼 Career

Data analysts and scientists use line plots to communicate changes and patterns clearly to others.

1

Create the sales data frame

Create a data frame called sales_data with two columns: month and sales. Use these exact values: month as c('Jan', 'Feb', 'Mar', 'Apr', 'May') and sales as c(150, 200, 180, 220, 210).

R Programming

# Create the sales_data data frame with month and sales columns
# Your code here

Need a hint?

Use data.frame() to create the data frame with the exact column names and values.

2

Create the plot title variable

Create a variable called plot_title and assign it the string 'Monthly Sales Over Time'.

R Programming

sales_data <- data.frame(
  month = c('Jan', 'Feb', 'Mar', 'Apr', 'May'),
  sales = c(150, 200, 180, 220, 210)
)

# Create the plot_title variable
# Your code here

Need a hint?

Assign the exact string to plot_title using the assignment operator <-.

3

Create the line plot with ggplot2

Use ggplot() with sales_data as data. Map month to the x-axis and sales to the y-axis. Add geom_line() to create the line plot. Store the plot in a variable called sales_plot. Then add the title stored in plot_title using ggtitle().

R Programming

sales_data <- data.frame(
  month = c('Jan', 'Feb', 'Mar', 'Apr', 'May'),
  sales = c(150, 200, 180, 220, 210)
)

plot_title <- 'Monthly Sales Over Time'

# Create the sales_plot using ggplot, geom_line, and ggtitle
# Your code here

Need a hint?

Remember to load ggplot2 with library(ggplot2) before creating the plot.

4

Display the line plot

Print the plot stored in sales_plot to display the line plot.

R Programming

library(ggplot2)

sales_data <- data.frame(
  month = c('Jan', 'Feb', 'Mar', 'Apr', 'May'),
  sales = c(150, 200, 180, 220, 210)
)

plot_title <- 'Monthly Sales Over Time'

sales_plot <- ggplot(sales_data, aes(x = month, y = sales)) +
  geom_line() +
  ggtitle(plot_title)

# Print the sales_plot to display the line plot
# Your code here

Need a hint?

Use print() to show the plot in the R console or script.