Hans Rosling is one of the reasons why this blog exists. He defined himself as a “edutainer” and his way of explaining statistics to the public was simply mind blowing. I have been directed to the web site of his foundation, gapminder.org, by one of the courses I was following, I think it was “Analytic …
In the words of its creators, SQLite is a self-contained, high-reliability, embedded, full-featured, public-domain, SQL database engine. And apparently is the most used in the world. Libraries exist for interfacing R with SLQLite, the minimum requirement being DBI (A Common Database Interface) and RSQLite (SQLite interface for R). The keyword here is “embedded”. You do …
I just went through the experience of completing the Johns Hopkins University Data Science Specialization on Coursera. The last course of this specialization was the Capstone project, which consists basically in learning about a new subject, Natural Language Processing (or NLP in short) and producing a Shiny application hosted on Shinyapps.io that predicts the next word a …
This JH Data Science capstone project is transforming into a nightmare, especially because of R and tm, which do not do what they are supposed to do. True I have changed architecture and PC in the middle, but this is not the problem. R and R packages like tm evolve fast and sometimes too fast …
R provides several libraries to format tabular output. As I have had the problem of finding one that worked well in all occasions and without too much hassle, I would like to compare, from the point of view of aesthetic and ease of use. I will not use any of the options and parameters. Just …
As I have been playing with R quite a bit and I become rusty with Python, I wanted to see how good the language detection libraries in this environment are and also how they compare with R. I have made a quick search and I found out that langdetect is one derived directly from Google …
I have played a bit with two language detection libraries in R, without going too much in the details of how they work. These are: textcat CLRD The second package does not seem actively maintained, as the last update (version 1.1.0) is now over three years old. It can be however obtained and installed …
I am now aiming at the Capstone project in the Coursera’s Data Science Specialization from Johns Hopkins, to finish the Specialization. The project is focused on predicting the next word that somebody is going to type, based on several databases to be used to build up the prediction algorithm. There is a lot of previous …
This post follows a few older ones I have published on Word Clouds, until now all of them were based on Python code. I like word clouds, not for the information they can communicate, but just for their aesthetics, and until now I was a bit disappointed because in R I could not get the …
This tutorial by Tim D’Auria on Youtube, is shorter than 30 minutes. Without pretending too much background it gives you the basic tools and knowledge to build a basic document classification system. The classifier uses a simple KNN classification algorithm and text mining techniques to learn to distinguish the candidate who pronounced the speeches of …