Map in R In this article, you will learn how to create a really cool data visualization that appeared in the Economist. This chart looks like a map, but instead of your typical filled in maps a.k.a. choropleths, you see an area plot where a state should be. This chart gives you a lot of […]
Continue readingIntroduction When computer science is making rapid advances, one may ask “what new knowledge can be gained by reviewing previous work?” Cataloging previous work offers many benefits: a) we can notice the gaps to build upon, b) we can sense the future direction of research, and c) we can learn what has worked and what […]
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In this post, you will learn how to repeat certain analysis using R and RMarkdown. Recently, I saw many dissertations on higher education fundraising in which the researchers had used a data set, selected some variables, ran correlation or association as well as significance tests, and built a logistic regression model on the selected variables. […]
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All Data Has A Story. Here’s How to Tell it As data scientists, we all know the power of data. It provides hard evidence for things that are working (or not), it allows us to test our assumptions, and it helps us make better decisions. But there’s one thing data can help with that often gets […]
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In a recent article, I wrote about using Markov Chains and OpenAI’s GPT-2 to generate text. After writing that article, I wondered: how can I use the GPT-2 models to train my own AI writer to mimic someone else’s writing? I didn’t have to search for too long. Using these fascinating and helpful articles on creating poetry and writing […]
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