Blog Archives

Shiny App for MBA Interviews

December 20, 2016
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A couple of weeks ago I attended some interviews as part of my process for admission into an MBA program. While most candidates would pore over the possible questions and then try to teach them to a third party to help them with a mock interview, I decided to expedite the process by building a shiny app in R. In...

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When Trump visits… tweets from his trip to Mexico

September 25, 2016
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When Trump visits… tweets from his trip to Mexico

I’m sure many of my fellow Mexicans will remember the historically ill-advised (to say the least) decision by our President to invite Donald Trump for a meeting. Talking to some fellow colleagues, we couldn’t help but notice that maybe in another era this decision would have been good policy. The problem, some concluded, was the influence of social media today....

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New banxicoR package

August 18, 2016
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New banxicoR package

The banxicoR package is now available on CRAN. Much like inegiR this package aims to bring official Mexican data easily into R, in this case by scrapping iqy calls to the SIE (Sistema de Información Económica) webservice of the Bank of Mexico. Introduction The major difference with inegiR is that the Bank of Mexico does not have an API, so...

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Voting clusters in the U.N.

July 26, 2016
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Voting clusters in the U.N.

After some more digging, and a suggestion by @theMexIndian I decided to see more in the depth the unvotes database that I wrote about some weeks ago. This time, amit suggested I do some hierarchical clustering of the votes. So here goes a very dirty first attempt… Data and setup Nothing too impressive here… (for a discussion of the package,...

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Analyzing Mexican votes in the U.N.

July 11, 2016
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Analyzing Mexican votes in the U.N.

Last week I discovered the unvotes package on github so I thought i’d do some number-crunching to see if I find anything interesting. The package provides the voting history of countries in the United Nations General Assembly, along with information such as date, description, and topics for each vote. The author makes it clear to reference the original publication of...

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satRday in Monterrey

satRday in Monterrey

I recently volunteered to host a satRday event in Monterrey through the email form and was surprised to find out it was shortlisted as an international destination. I’m writing this to convince others to vote for Monterrey. If you’re nearby, like the north of Mexico, the benefits are clear (the next option is currently South Africa!). Overview about Monterrey Monterrey is...

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New nasadata R package

April 30, 2016
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New nasadata R package

This package intends to provide a hassle-free way to access some of NASA’s open-source API’s to build applications or models. Because the documentation seems inconsistent and there are tons of API’s, I have concentrated my efforts on three which I believe provide the best “bang for my money”. The source package is built around these three API’s, but for the sake...

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inegiR version 1.2

February 21, 2016
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inegiR version 1.2

Version 1.2 of inegiR is now on CRAN so I thought I’d write a few words/vignette about what’s new or different, if at all. By the way, i’m writing in english because more people seem to read r-bloggers than my blog (no surprise there), however the pdf manual and most documentation is still in spanish. Bug fixes Thanks...

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South Carolina Republican Debate with R

January 19, 2016
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South Carolina Republican Debate with R

Continuing with the series analyzing republican debates, the latest in South Carolina confirms a few of the trends i’ve been observing, mainly that: Trump likes to repeat himself (maybe he likes to stick with what has worked so far?). Trump also likes to keep it short: everyone else says more things for longer at a time. The most...

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More republican debate analysis with R

January 6, 2016
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More republican debate analysis with R

A few weeks late, here is a follow-up analysis using R, of the transcript of the latest Republican primary debate held at Las Vegas, Nevada. Like the previous post, it should be interesting to see some word-clouds and some trends from the front-runners (and of course, Donald Trump). Getting and cleaning the data As in the last post, we’re going to import...

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