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Update data-visualize.qmd (#1072) 

A few small fixes.
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Y. Yu 2022-08-17 15:33:25 -04:00 committed by GitHub
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data-visualize.qmd
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@ -13,7 +13,7 @@ source("_common.R")
This chapter will teach you how to visualize your data using ggplot2.
R has several systems for making graphs, but ggplot2 is one of the most elegant and most versatile.
ggplot2 implements the **grammar of graphics**, a coherent system for describing and building graphs.
With ggplot2, you can do more faster by learning one system and applying it in many places.
With ggplot2, you can do more and faster by learning one system and applying it in many places.
If you'd like to learn more about the theoretical underpinnings of ggplot2, you might enjoy reading "The Layered Grammar of Graphics", <http://vita.had.co.nz/papers/layered-grammar.pdf>, the scientific paper that discusses the theoretical underpinnings..
@ -95,7 +95,7 @@ So `ggplot(data = mpg)` creates an empty graph, but it's not very interesting so
You complete your graph by adding one or more layers to `ggplot()`.
The function `geom_point()` adds a layer of points to your plot, which creates a scatterplot.
ggplot2 comes with many geom functions that each add a different type of layer to a plot.
ggplot2 comes with many geom functions that each adds a different type of layer to a plot.
You'll learn a whole bunch of them throughout this chapter.
Each geom function in ggplot2 takes a `mapping` argument.
@ -796,7 +796,7 @@ ggplot(data = mpg, mapping = aes(x = displ, y = hwy)) +
Next, let's take a look at a bar chart.
Bar charts seem simple, but they are interesting because they reveal something subtle about plots.
Consider a basic bar chart, as drawn with `geom_bar()`.
Consider a basic bar chart, as drawn with `geom_bar()` or `geom_col()`.
The following chart displays the total number of diamonds in the `diamonds` dataset, grouped by `cut`.
The `diamonds` dataset is in the ggplot2 package and contains information on \~54,000 diamonds, including the `price`, `carat`, `color`, `clarity`, and `cut` of each diamond.
The chart shows that more diamonds are available with high quality cuts than with low quality cuts.
@ -1111,7 +1111,7 @@ To learn more about a position adjustment, look up the help page associated with
Coordinate systems are probably the most complicated part of ggplot2.
The default coordinate system is the Cartesian coordinate system where the x and y positions act independently to determine the location of each point.
There are a three other coordinate systems that are occasionally helpful.
There are three other coordinate systems that are occasionally helpful.
- `coord_flip()` switches the x and y axes.
This is useful (for example), if you want horizontal boxplots.