#r ggplot2

R: ggplot using facets

In this example I am going to teach you to use facets to add another level to your ggplot data visualizations. In this example we will be working with the ChickWeight data set from R Datasets

First, let’s check out the data by running head()

head(ChickWeight)

We have 4 columns in our data, weight, Time, Chick, and Diet.

Now, let’s build our ggplot model. Below, we are setting our model to a…

R: ggplot – Histograms

Let’s make a Histogram using ggplot

First step, import the ggplot2 library

library(ggplot2)

Now let’s look at our data. In this example I am using chickwts from R Data

head(chickwts) str(chickwts)

As you can see above, this data contains 2 columns weight ( numeric) and feed(Factor with 6 levels)

Histogram

In a histogram, we don’t need to worry about assigning a Y axis, the Y axis is the…

R: Intro to ggplot()

ggplot() is a powerful graphing tool in R. While it is more complex to use than qplot(), its added complexity comes with advantages.

Don’t worry about the complexity, we are going to step into it slowly.

Let’s start by getting a data set. I am going to choose airquality from the R data sets package. You can find a list of data sets from that package here: Link

We are going to manipulate some of…

R: Intro to qplot()

qplot() stands for Quick Plot. It is an easy to use plotting tool for R. In order to use qplot(), you need to have ggplot2 installed. To see if you have it, just type the following:

library(ggplot2)

If you get an error, you will need to install the package. To install package:

install.packages("ggplot2") library(ggplot2)

Okay, now let’s get some data. R comes will a great collection of data sets…