Rent Prices are Soaring in Most of Colorado Call it gentrification, supply-and-demand, call it whatever you’d like… the fact is, rent prices have gone up in Colorado in the last decade. Chip Oglesby – GitHub – did a nice analysis on the data provided by colorado.gov. Chip’s analysis can be seen here. His analysis states,
What Type of Data Visualization Do You Choose (if any)? Determining whether or not you need a visualization is step one. While it seems silly, this is probably something everyone (including myself) should be doing more often. A lot of times, it seems like a great way to showcase the amount of work you have
A Quick Overview of the ggplot2 Package in R While it will be important to focus on theory, I want to explain the ggplot2 package because I will be using it throughout the rest of this series. Knowing how it works will keep the focus on the results rather than the code. It’s an incredibly
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
A post on how to use the randomForest package in R to classify data. This focuses on classifying mushrooms as edible or poisonous.
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. As always, I loaded the required
The Situation You are a consultant who has been hired by a business that sells one commodity product. On December 31st the price is $100 per unit. The business owner wants to know what to expect by the end of January. Your client gave you the message: Prices are based off the the sales the
You are a consultant who has been hired by a business that sells one commodity. The business owner wants to know what to expect by the end of January.
In the spirit of Seinfeld, this post will also "be about nothing." Data visualizations in R may shed some light on how these characters are related.
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
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