![]() Throughout this post, we’ll be using the Orange dataset that’s built into R. It’s the tool I use to create nearly every graph I make these days, and I think you should use it too! Investigating our dataset This makes ggplot a powerful and flexible tool for creating all kinds of graphs in R. ![]() When components are unspecified, ggplot uses sensible defaults. You can then modify each of those components in a way that’s both flexible and user-friendly. ![]() Ggplot takes each component of a graph–axes, scales, colors, objects, etc–and allows you to build graphs up sequentially one component at a time. Ggplot is a package for creating graphs in R, but it’s also a method of thinking about and decomposing complex graphs into logical subunits. Introduction to ggplotīefore we dig into creating line graphs with the ggplot geom_line function, I want to briefly touch on ggplot and why I think it’s the best choice for plotting graphs in R. There are many different ways to use R to plot line graphs, but the one I prefer is the ggplot geom_line function. Line graph of average monthly temperatures for four major cities The price of Netflix stock (NFLX) displayed as a line graph In fact, one of the most powerful ways to communicate the relationship between two variables is the simple line graph.Ī line graph is a type of graph that displays information as a series of data points connected by straight line segments. But if you’re trying to convey information, flashy isn’t always the way to go. When it comes to data visualization, it can be fun to think of all the flashy and exciting ways to display a dataset.
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