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Well, it’s been an interesting election season so far, right?
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In my last post, I did some natural language processing and sentiment analysis for Jane Austen’s most well-known novel, Pride and Prejudice.
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It is a truth universally acknowledged that sentiment analysis is super fun, and Pride and Prejudice is probably my very favorite book in all of literature, so let’s do some Jane Austen natural language processing.
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I have always loved learning and thinking about names, how they are chosen and used, and how people feel about their names and the names around them.
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I saw this analysis at Flowing Data about the most common consumer products involved in hospital ER visits and was delighted, interested, etc.
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In a previous post, I used water consumption data from Utah’s Open Data Catalog to explore what kind of users consume the most water in my home here in Salt Lake City, what the annual pattern of water use is, and how the drought of the past few years has…
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I have been working with a data set on causes of death in my adopted home state of Utah for a little while now, and I had been struggling with the best way to visualize it.
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I have my second guest post up today at Ari Lamstein’s blog where I conclude my exploration of the Religious Congregations and Membership Study at the ARDA.
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I have a guest post up today at Ari Lamstein’s blog where I show some more fun things that can be done with the Religious Congregations and Membership Study at the ARDA that I used to look at Utah.
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I live in Utah, an extremely dry state.
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The state of Utah (my adopted home) has an Open Data Catalog with lots of interesting data sets, including a collection of health care indicators from 2014 for the 29 counties in Utah.
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My family and I moved to Utah about 5 years ago and we have found ourselves thoroughly in love in with our new home state.
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In my previous blog post, I analyzed my Twitter archive and explored some aspects of my tweeting behavior.
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I started learning the statistical programming language R this past summer, and discovering Hadley Wickham’s data visualization package ggplot2 has been a joy and a revelation.