R dataset access

For this example, we will use the Iris dataset. Iris is built into R installations and is available directly. Let's just pull in the data, gather some simple statistics, and plot the data. This will show R accessing a dataset in Jupyter, using an R built-in package, as well as some available statistics (since we have R), and the interaction with R graphics.

The script we will use is as follows:

data(iris) 
summary(iris) 
plot(iris)

If we enter this small script into a new R Notebook, we get an initial display that looks like the following:

I would expect the standard R statistical summary as output, and I know that the Iris plot is pretty interesting. We can see exactly what happened in the following screenshot:

The plot continues in the following screenshot, as it wouldn't fit into a single page:

A feature of Jupyter is to place larger plots, such as this, into a viewport that only shows a part of the image. I was able to drag the image out of the viewport window in its entirety for this shot. You can eliminate the viewport boundaries and have the entire output displayed by clicking in the viewport and dragging it.
上一章目录下一章