Lab 4A: Data Visualization (Easy)

Visualizing One Categorical Variable

  1. Create a frequency bar chart of ratings.
plot(
    x = movies$Rating,
    main = "Frequency of Movies by Rating",
    xlab = "Rating",
    ylab = "Count of Movies")

  1. Create a pie chart of ratings.
pie(table(movies$Rating))

Visualizing One Numeric Variable

  1. Create a dot plot of runtime.
plot(
  x = movies$Runtime, 
  y = rep(0, nrow(movies)), 
  main = "Distribution of Movie Runtime",
  xlab = "Runtime (min)",
  ylab = "", 
  yaxt = "n")

  1. Create a boxplot of runtime.
boxplot(
  x = movies$Runtime, 
  main = "Distribution of Movie Runtime",
  xlab = "Runtime (min)",
  horizontal = TRUE)

  1. Create a histogram of runtime.
hist(
    x = movies$Runtime,
    main = "Distribution of Movie Runtime",
    xlab = "Runtime (min)",
    ylab = "Frequency")

  1. Create a density plot of runtime.
plot(
    x = density(movies$Runtime),
    main = "Distribution of Movie Runtime",
    xlab = "Runtime (min)",
    ylab = "Density")

Visualizing Two Categorical Variables

  1. Create a spineplot of genre and rating.
spineplot(
  x = genres$Genre, 
  y = genres$Rating,
  main = "Frequency of Movies by Rating and Genre",
  xlab = "Genre",
  ylab = "Rating")

  1. Create a mosaic plot of genre and rating.
mosaicplot(
  x = table(
    genres$Genre, 
    genres$Rating),
  las = 3,
  main = "Frequency of Movies by Rating and Genre",
  xlab = "Genre",
  ylab = "Rating")

Visualizing Two Numeric Variables

  1. Create a scatterplot of runtime and box office.
plot(
  x = movies$Runtime, 
  y = movies$Box.Office,
  main = "Movie Runtime and Box Office Revenue",
  xlab = "Runtime (min)",
  ylab = "Box Office ($M)")

  1. Create a scatterplot of critic score and box office.
plot(
  x = movies$Critic.Score, 
  y = movies$Box.Office,
  main = "Critic Score and Box Office Revenue",
  xlab = "Critic Score (%)",
  ylab = "Box Office ($M)")

  1. Plot a line chart of count of movies by year.
plot(
  x = table(movies$Year),
  type = "l",
  main = "Count of Movies by Year",
  xlab = "Year",
  ylab = "Count of Movies")

Visualizing a Numeric Variable

Grouped By a Categorical Variable

  1. Create a bar graph of average box office by rating.
barplot(
    height = tapply(movies$Box.Office, movies$Rating, mean),
    main = "Average Box Office Revenue by Rating Category",
    xlab = "Rating",
    ylab = "Box Office ($M)")

  1. Create a bar graph of average box office by genre.
barplot(
  height = tapply(genres$Box.Office, genres$Genre, mean),
  las = 3,
  main = "Average Box Office Revenue by Genre",
  ylab = "Box Office ($M)")

Visualzing Many Variables

  1. Create a scatterplot matrix.
plot(movies)