Tag Archives: ggplot2

Data Visualization – Part 1


Introduction to Data Visualization – Theory, R & ggplot2

The topic of data visualization is very popular in the data science community. The market size for visualization products is valued at $4 Billion and is projected to reach $7 Billion by the end of 2022 according to Mordor Intelligence. While we have seen amazing advances in the technology to display information, the understanding of how, why, and when to use visualization techniques has not kept up. Unfortunately, people are often taught how to make a chart before even thinking about whether or not it’s appropriate.

In short, are you adding value to your work or are you simply adding this to make it seem less boring? Let’s take a look at some examples before going through the Stoltzmaniac Data Visualization Philosophy.

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Random Forest Classification of Mushrooms

There is a plethora of classification algorithms available to people who have a bit of coding experience and a set of data. A common machine learning method is the random forest, which is a good place to start.

This is a use case in R of the randomForest package used on a data set from UCI’s Machine Learning Data Repository.

Are These Mushrooms Edible? Continue reading

City of Fort Collins Spending Analysis

Stoltzmaniac is going local in today’s blog post! I dug into the City of Fort Collins open data and published my findings below.

The data was surprisingly clean and laid out in JSON format on Amazon S3. This post shows my exploration of the data along with some observations. Continue reading

Seinfeld Characters – A Post About Nothing

This post is dedicated to my mother – Seinfeld’s greatest fan.

Seinfeld is a classic TV sitcom. It featured four main characters surrounded by relatively normal, everyday, run of the mill scenarios. In the spirit of Seinfeld, this post will also “be about nothing.” Continue reading

Crime Analysis – Denver-Part 3

Marijuana, Alcohol, and Other Drugs


Continuing our Exploration of the Data
After identifying the sources of crime growth, it’s time to investigate specific crime rates. This blog post addresses drug and alcohol crimes in Denver over the past few years.

This is a very simplistic view because it will only focus on trend data, which never tells the whole story. Continue reading