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MilanoR Staff is happy to announce the 9th MilanoR Meeting! The meeting will take place on November 20th, from 7pm to about 9:30 pm, in Mikamai (close to the Pasteur metro station) [save the date, more info soon]. This time we want to focus on a specific topic: data visualization with ... [Read more...]

Nowadays, a lot of interesting time series data is freely available that allows us to compare important economic, social and environmental trends across countries. I feel that one can learn a lot by surfing through the data sections on the websites of... [Read more...]

Package interfaces A convenient alternative method for acquiring data in R is through package interfaces to web services. These interfaces are built using R code to make connections with resources on the web through Automatic Programming Interfaces (APIs). Websites such as Project Gutenberg, Twitter, Facebook, and many others provide APIs ... [Read more...]

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We’ve got an exciting week ahead of us at Business Science: we’re launching our first ever Business Science Demo Week. Every day this week we are demoing an R package: tidyquant (Monday), timetk (Tuesday), sweep (Wednesday), tibbletime (Thursday) and h2o (Friday)! That’s five packages in five ... [Read more...]

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Way back in July of 2009, the first version of the twitteR package was published by Geoff Jentry in CRAN. Since then it has seen 28 updates, finally breaking the 0.x.y barrier into 1.x.y territory in March of 2013 and receiving it’s last update in July of 2015. For a very ... [Read more...]

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Here’s another innocent-eye exploration, this time about the Tidyverse’s summarise() function. I’d been combining data tables by nesting and joining them, which gave me a tibble with nested tibbles in. I wanted to check the sizes of these inner tibbles, by mapping nrow() over the columns containing ... [Read more...]

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Part 1: Song length distributions with joy plots! Part 2: Breaking down the lyrics, word-by-word with tidytext In Part 3 we get into the core element of our analysis, investigating the various sentiments and emotions expres... [Read more...]

When I wrote the original post, I wasn’t planning on writing a follow-up. Certainly not the week after. But what a difference a week can make in a dynamic system like the US stock market. While re-running the computations testing the latest version of RStudio, I noticed something surprising – ... [Read more...]

Motivation The first part left an open door to analyze Rick and Morty contents using tf-idf, bag-of-words or some other NLP techniques. Here I'm also taking a lot of ideas from Julia Silge's blog. Note: If some images appear too small on your screen you can open them in a ... [Read more...]

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Let’s start with a few observations about linear models. The usual discussion posits a target variable y of length N and a design matrix X with p columns (of full rank, say) and N rows. The linear model equation can be written and the least squ... [Read more...]

How much pollution reduction do we get from a MWh electricity produced by wind or solar power? In principle, this corresponds to the avoided pollution of a fossil fuel plant that reduces its output due to the higher production of renewable electricity.... [Read more...]