R bloggers

Multi-Dimensional Reduction and Visualisation with t-SNE

September 22, 2017
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Multi-Dimensional Reduction and Visualisation with t-SNE

t-SNE is a very powerful technique that can be used for visualising (looking for patterns) in multi-dimensional data. Great things have been said about this technique. In this blog post I did a few experiments with t-SNE in R to learn about this technique and its uses. Its power to visualise complex multi-dimensional data is Related Post Comparing Trump and...

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My advice on dplyr::mutate()

September 22, 2017
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My advice on dplyr::mutate()

There are substantial differences between ad-hoc analyses (be they: machine learning research, data science contests, or other demonstrations) and production worthy systems. Roughly: ad-hoc analyses have to be correct only at the moment they are run (and often once they are correct, that is the last time they are run; obviously the idea of reproducible … Continue reading My...

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Mining USPTO full text patent data – Analysis of machine learning and AI related patents granted in 2017 so far – Part 1

September 21, 2017
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Mining USPTO full text patent data – Analysis of machine learning and AI related patents granted in 2017 so far – Part 1

The United States Patent and Trademark office (USPTO) provides immense amounts of data (the data I used are in the form of XML files). After coming across these datasets, I thought that it would be a good idea to explore where and how my areas of interest fall into the intellectual property space; my areas of interest being machine...

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Will Stanton hit 61 home runs this season?

September 21, 2017
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Will Stanton hit 61 home runs this season?

So far, Giancarlo Stanton has hit 56 home runs in 555 at bats over 149 games. Miami has 10 games left to play. What’s the chance he’ll The post Will Stanton...

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Pirating Pirate Data for Pirate Day

September 21, 2017
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Pirating Pirate Data for Pirate Day

This past Tuesday was Talk Like A Pirate Date, the unofficial holiday of R (aRRR!) users worldwide. In recognition of the day, Bob Rudis used R to create this map of worldwide piracy incidents from 2013 to 2017. The post provides a useful and practical example of extracting data from a website without an API, otherwise known as "scraping"...

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Exploratory Data Analysis of Tropical Storms in R

September 21, 2017
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Exploratory Data Analysis of Tropical Storms in R

Exploratory Data Analysis of Tropical Storms in R The disastrous impact of recent hurricanes, Harvey and Irma, generated a large influx of data within the online community. I was curious about the history of hurricanes and tropical storms so I found a data set on data.world and started some basic Exploratory data analysis (EDA). EDA

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Gold-Mining – Week 3 (2017)

September 21, 2017
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Week 3 Gold Mining and Fantasy Football Projection Roundup now available. Go get that free agent gold! The post Gold-Mining – Week 3 (2017) appeared first on Fantasy Football Analytics.

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Don’t teach students the hard way first

September 21, 2017
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Imagine you were going to a party in an unfamiliar area, and asked the host for directions to their house. It takes you thirty minutes to get there, on a path that takes you on a long winding road with slow traffic. As the party ends, the host tells you “You can take the highway on your way back,...

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ggformula: another option for teaching graphics in R to beginners

September 21, 2017
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ggformula: another option for teaching graphics in R to beginners

A previous entry (http://sas-and-r.blogspot.com/2017/07/options-for-teaching-r-to-beginners.html) describes an approach to teaching graphics in R that also “get students doing powerful things quickly”, as David Robinson suggested. In this guest blog entry, Randall Pruim offers an alternative way based on a different formula interface. Here's Randall: For a number of years I and several of my colleagues have been teaching R to beginners...

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Comparing Trump and Clinton’s Facebook pages during the US presidential election, 2016

September 21, 2017
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R has a lot of packages for users to analyse posts on social media. As an experiment in this field, I decided to start with the biggest one: Facebook. I decided to look at the Facebook activity of Donald Trump and Hillary Clinton during the 2016 presidential election in the United States. The winner may Related Post Analyzing Obesity across...

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