Introduction to R : A 12 month Air Quality Plot

Here is my completed visualization analysis of the year 2015 using R and ggplot. I also experimented with the ggExtra package to see what additional information it would give.

The density plot on the right margin helps to point out that the most common 2.5AQI was between 10 and 100.

As you can see, there is a downward trend until September and then the AQI heads back up during the winter months. Many people here outside the city proper burn coal and I think that has something to do with it.

Here is the plot without the ggExtra. It’s the same information, just without the marginal plots. Which one do like better?

In IB Mathematics this week, my students are using R and ggplot to complete their research papers. We had to google for some solutions on how to change the y axis label and values.

I’ll have a post on how we figured it out in a few days.

Also, as I get more experience with R and R Markdown, I find myself just working in R markdown files because it’s easier and saves me time. Sometimes I’ll have an R script open and copy and paste code into the Rmd file, but it seems using just the Rmd file is faster and more efficient.

Till then…

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Kevin

AP Statistics & IB Math Teacher at QSI International

Kevin Smith is an AP Statistics, AP Physics and IB Mathematics teacher in Chengdu, China. When not teaching, Kevin is living in the Philippines either in Mindoro or Mindanao. Kevin is an Internet Entrepreneur and is building an online teaching business that will be offering R programming courses through this website. Kevin's interests are in scientific modeling using the R statistical programming language, teaching math and statistics, and scuba diving.

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