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Visualizing Video Games Sales Data

In this code-along, we'll use ggplot2 to visualize sales of popular video games in North America, Europe, and Japan.

The dataset used here is a subset of the "Video Games Sales Data" dataset available in Workspace. The dataset was originally sourced from Kaggle.

  • Every video game in this dataset has at least 100k global sales.
  • We'll look at games from some of the most popular desktop consoles in the 4th to 8th console generations.
  • Since the dataset is from Kaggle, the trustworthiness is questionable. This is for fun, not for real-world business decisions.

Loading packages

In this code-along, we'll use readr to import the dataset, dplyr and forcats to manipulate the data, and ggplot2 to visualize the data.

Instructions
  • Load the readr, dplyr, forcats and ggplot2 packages.
# Load readr, dplyr, forcats, ggplot2
library(readr)
library(dplyr)
library(forcats)
library(ggplot2)

The following lines of code make it easier to see the visualizations during the webinar.

# Set the default figure font size to 20 (and use the gray theme for plot colors)
theme_set(theme_gray(20))

# Display plots in the workspace with a width of 10 inches and a height of 7 inches
opts <- options(repr.plot.width = 10, repr.plot.height = 8)

Import the dataset

The dataset is stored in a CSV file named vgsales.csv in the data directory.

Instructions
  • Read the CSV file "data/vgsales.csv". Assign the result to vgsales.
  • Glimpse at the column information in vgsales.
# Load necessary library
library(dplyr)

# Read the CSV file "data/vgsales.csv"
vgsales <- read.csv("data/vgsales.csv")

# Glimpse the result
glimpse(vgsales)
Data dictionary
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