## Introduction

In the previous post we showed how ggplot2 can be used to effectively and quickly render a periodic table overlaid with near-arbitrary elemental data.

Let’s use this newfound ability to visualise all the datasets we have available to us.

## Available elemental properties

Some properties are not suited for this type of visualisation, and will be excluded (see donotplot vector below). Others are better visualised as discrete variables, although they are numeric in format. Such properties will be converted back to character (see numericasdiscrete below).

Here are all the elemental properties that have been deemed suitable for visualisation.

## Properties, visualised

Note: the physical state at which the values are stated are not always determined in this dataset. This is a weakness of the web-scraping algorithm, which does not record the notes accompanying many datapoints. This means that the usability of these plots are limited in scope. If someone has an open, curated dataset of elemental properties available, let me know!

We can plot periodic tables of all available properties with just one chunk (using some looping, of course).

And that’s all for today.