Which policy instruments should we use to cost-effectively reduce greenhouse gas emissions? For a given technological level there are many economic arguments in favour of tradeable emission certificates or a carbon tax: they generate static efficiency ...
Power BI has long had the capability to include custom R charts in dashboards and reports. But in sharp contrast to standard Power BI visuals, these R charts were...
Last Friday marked my two year anniversary working as a data scientist at Stack Overflow. At the end of my first year I wrote a blog post about...
Face Recognition in R OpenCV is an incredibly powerful tool to have in your toolbox. I have had a lot of success using it in Python but very little...
By Yuri Resende Today we will use an online convex optimization technique to build a very simple algorithm for portfolio allocation. Of course this is just an illustrative...
A new version of the nanotime package for working with nanosecond timestamps just arrived on CRAN. nanotime uses the RcppCCTZ package for (efficient) high(er) resolution time...
Among the many R packages, there is the outbreaks package. It contains datasets on epidemics, on of which is from the 2013 outbreak of influenza A H7N9 in China,...
charlatan makes fake data. Excited to annonunce a new package called charlatan. While perusing packages from other programming languages, I saw a neat Python library called faker. charlatan is inspired from and ports...
A new minor version 0.2.3 of RcppCCTZ is now on CRAN. RcppCCTZ uses Rcpp to bring CCTZ to R. CCTZ is a C++ library for translating between absolute and...
Solution to Euler Problem 25 in the R language. What is the index of the first term in the Fibonacci sequence to contain 1000 digits? Continue reading
The Windows edition of the Data Science Virtual Machine (DSVM), the all-in-one virtual machine image with a wide-collection of open-source and Microsoft data science tools, has been updated to...
Neural network have become a corner stone of machine learning in the last decade. Created in the late 1940s with the intention to create computer programs who mimics the...
Dear Fantasy Football Analytics Community, Four years ago, we released web apps to help people make better decisions in fantasy football based on the wisdom of the crowd. Over the...
I'm excited to announce my DataCamp course on importing and managing financial data in R! I'm also honored that...
Analytic administrator is a role that data scientists assume when they onboard new tools, deploy solutions, support existing standards, or train...
Smoothing a time-series with a Bayesian model Recently I looked at fitting a smoother to a time-series using Bayesian modelling. Now I will look at how you can control the smoothness by using...
For the past four years, recruiting firm Burtch Works has conducted a simple survey of data scientists with just one question: "Which do you prefer to use — SAS,...
The first part of this post is a quick update on Tony Cooper’s of Double Digit Numerics’s volatility ETN momentum … Continue reading →
Great painters can teach us a lot about how to compose a good palet for our plot. That is why we look here at a way to algorithmically derive...
Scatter & Bubble chart This is the third part of our data visualization series and at this part we will explore the features of two more of the charts...
Back in February, I wrote some R code to analyse tweets covering the 2017 Lorne Genome conference. It worked pretty well. So I reused the code for two recent...
Below is the latest update to The Popularity of Data Science Software. It contains an analysis of the tools used in the most recent complete year of scholarly articles....
Sorry for the clickbait title. Couldn't resist. The post Counterintuitive problem: Everyone in a room keeps giving dollars to random others. You’ll never guess what happens next. appeared...
Traditionally, statistics like wOBA (weighted on-base average) have been calculated using league averages. While building the baseballDBR package, I thought it would be interesting to group the American and...
A year ago, I used Google’s Vision API to detect brand logos in images. Since then the DIY deep learning possibilities in R have vastly improved. With the release...
In order to get the discount, simply click choose a link below and when paying use the promo code: J17UDEMY203 Udemy is offering readers of R-bloggers access to its global...
The sparklyr package (by RStudio) provides a high-level interface between R and Apache Spark. Among many other things, it allows you to filter and aggregate data in Spark using...
In this post I explore two different methods for computing the relative importance of predictors in regression: Johnson’s Relative Weights and Partial...
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