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A number of reasons can be attributed to when a predictive model crumples such as: Inadequate data pre-processing Inadequate model validation Unjustified extrapolation Over-fitting (Kuhn, 2013) Before we dive into data preprocessing, let me quickly define a few terms that I will be commonly using. Predictor/Independent/Attributes/Descriptors – are the ... [Read more...]

There are various ways to output text in RStudio.   Without New Line: cat("#9....") cat("times") Output: #9....times With New Line: print("Happy Birthday") print("dearie") Output: Happy Birthday dearie If you want to add any more methods to the list, please leave a comment below. [Read more...]

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One year ago (tomorrow) drat 0.1.0 was released. It held up rather well, but a number of small fixes and enhancements piled up, along with somewhat-finished to still-raw additions to the examples/ sections. With that, we are happy to announce drat re... [Read more...]

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The R package seasonal makes it easy to use X-13ARIMA-SEATS, the seasonal adjustment software by the United States Census Bureau. Thanks to the x13binary package, installing it from CRAN is now as easy as installing any other R package: install.packages("seasonal") The latest version 1.3 comes with a ... [Read more...]

The second release of littler as a CRAN package is now available, following in the now more than ten-year history as a package started by Jeff in the summer of 2006, and joined by me a few weeks later. littler is the first command-line interface for R and predates Rscript. It ... [Read more...]

Over the last few months I have been spending my nights taking care of my newly born second daughter. Keeping me company during the sleepless wee hours of the morning was the Reconcilable Differences Podcast. In episode 17 of this podcast, It's Devastating, there was an open question placed by John ... [Read more...]

Over the last few months I have been spending my nights taking care of my newly born second daughter. Keeping me company during the sleepless wee hours of the morning was the Reconcilable Differences Podcast. In episode 17 of this podcast, It's Devastating, there was an open question placed by John ... [Read more...]

Monads are a formal theory of composition where programmers get to invoke some very abstract mathematics (category theory) to argue the minutia of annotating, scheduling, sequencing operations, and side effects. On the positive side the monad axioms are a guarantee that related ways of writing code are in fact substitutable ... [Read more...]

In this post, we’ll be using k-means clustering in R to segment customers into distinct groups based on purchasing habits. k-means clustering is an unsupervised learning technique, which means we don’t need to have a target for clustering. All we need is to format the data in a ... [Read more...]

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We all will accept the fact that we all have required at least once in our life to comment the previously written codes. To comment a single line in RStudio, we can put “#” before each line. But when we want to comment multiple lines at one go, we can use ... [Read more...]

This is the excerpt for your very first post. [Read more...]

Part of our mission at The Data Lab is to create jobs in Data Science. This got us thinking that perhaps we should find a systematic way of quantifying the job market in Scotland and generally. We stumbled upon Adzuna, never heard of it? It’s quite c... [Read more...]

Ah, the numbers! The Olympic Games are back in high style in Rio. Despite Brazil’s sluggish economy and unfulfilled promises for this Summer Olympic Games, I’d say, my expectations were met yesterday with such a beautiful opening ceremony. Let’s ... [Read more...]

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Recently, I become interested to grasp the data from webpages, such as Wikipedia, and to visualize it with R. As I did in my previous post, I use rvest package to get the data from webpage and ggplot package to visualize the data. In this post, I will map the ... [Read more...]