ARTICLES

2711, 2018

Visualizing Large Wildfire Activity in Montana from 1980-2016

By | November 27th, 2018|articles, Data Visualization, Latest Articles, R, tidyverse, wildfires|

The 2017 wildfire season shattered records and cost the U.S. Forest Service an unprecedented $2 billion. From the Oregon wildfires to late season fires in Montana, and the highly unusual timing of the California fires in December, it was a busy year in the Western United States. While 2017 was [...]

1511, 2018

Introduction to tidyverse

By | November 15th, 2018|articles, R, tidyverse|

While the base R package includes many useful functions and data structures that you can use to accomplish a wide variety of data science tasks, the third-party tidyverse package supports a comprehensive data science workflow as illustrated in the diagram below. The tidyverse ecosystem includes many sub-packages designed to address [...]

2609, 2018

My New Book – Data Visualization and Exploration with R

By | September 26th, 2018|articles, Data Visualization, Latest Articles, R|

My new book, Data Visualization and Exploration with R, has been published in digital format and printed paperback versions.  This book is a practical guide to using R, RStudio, and tidyverse for data visualization, exploration, and data science applications. $39.00 Digital Version   $44.00 Printed Paperback Version Chapters include: Chapter 1: Introduction [...]

2609, 2018

Introducing JupyterLab

By | September 26th, 2018|JupyterLab, Python|

 What exactly is JupyterLab and how does it compare to the Jupyter Notebook environment?  JupyterLab is a next-generation interface for Project Jupyter. The JuypterLab Github repo describes it as “an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture”. You could call it an upgrade [...]

1101, 2018

Narrowing the Search for Investment Property using Price-Rent Ratio Maps

By | January 11th, 2018|articles, real estate|

Price-rent ratios are a common metric used by investors to determine if a residential property investment will be profitable.  The price-to-rent ratio is a measure of the relative affordability of renting and buying in a given housing market. It is calculated as the ratio of home prices to annual rental rates. [...]

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Introducing JupyterLab

September 26th, 2018|0 Comments

 What exactly is JupyterLab and how does it compare to the Jupyter Notebook environment?  JupyterLab is a next-generation interface for Project Jupyter. The JuypterLab Github repo describes it as “an extensible environment for interactive and [...]

  • 1768

Narrowing the Search for Investment Property using Price-Rent Ratio Maps

January 11th, 2018|0 Comments

Price-rent ratios are a common metric used by investors to determine if a residential property investment will be profitable.  The price-to-rent ratio is a measure of the relative affordability of renting and buying in a given [...]

  • 1727

What Can Spatial Analytics Tell Us About 30 Years of Large Wildfires in the Pacific Northwest?

December 5th, 2017|0 Comments

Studies suggest that over the past few decades, the number and size of wildfires have increased throughout the western United States.  The average length of wildfire season has increased significantly as well.  According to the Union of [...]

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