Blog Archives

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 this...

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New banxicoR package

August 18, 2016
By
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 this...

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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, see the...

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Voting clusters in the U.N.

July 26, 2016
By
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, see the...

Read more »

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 the...

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Analyzing Mexican votes in the U.N.

July 11, 2016
By
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 the...

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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 one...

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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 to Diego Valle...

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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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