Introduction I am using waterfall charts drawn in ggplot2 to visualize GLM coefficients, for regression and classification. Source Rmd file can be found here. Waterfall chart: inspired by their commonplace use in finance1, a simple visualization t...

We recently have published two blogs on animating data transformations. The first, Animating Data Transformations, illustrated the spread() and gather() functions for going between wide and tall representations of data. The second, Animating Data Transformations II, covered the unnest() function for transforming a list column into a one value per ...

A “he said-she said” Le Monde mathematical puzzle (again in the spirit of the famous Singapore high-school birthdate problem): Abigail and Corentin are both given a positive integer, a and b, such that a+b is either 19 or 20. They are asked one after the other and repeatedly if they are ...

I’ve just started doing one of my favourite parts of my job – teaching a term of Data Analysis in R to about three hundred Bioscientists in their first year of higher education. My blog last week included a figure of their expected level of enjoyment: However,  I find they ...

It’s the New Year and we’re kicking off 2019 with our first LondonR! The meetup took place on the 15th of January, and we were delighted to have about 100 people in attendance. With excellent speakers lined-up and a free bar for networking, we started 2019 with a BANG! Please find ...

Introduction Installing sparklyr Installing spark Connecting to spark Importing data Manipulating data Disconnecting saving data Example of modeling in spark Streaming Introduction The programming language R has very powerful tools and functions to do almost every thing we want to do, such as wrangling , visualizing, modeling…etc. However, R such ...

Why Management Loves Overfitting The role of a data scientist involves building and fine-tuning of models and improve processes and products in various business areas. Typical use cases involve marketing campaigns, customer churn prediction or fraud d...

Why Management Loves Overfitting The role of a data scientist involves building and fine-tuning of models and improve processes and products in various business areas. Typical use cases involve marketing campaigns, customer churn prediction or fraud d...

In the past, I have written and taught quite a bit about image classification with Keras (e.g. here). Text classification isn’t too different in terms of using the Keras principles to train a sequential or function model. You can even use Convolutional Neural Nets (CNNs) for text classification. ...

RStudio Server Pro is now available on the Azure Marketplace, the company announced on the RStudio Blog earlier this month. This means you can launch RStudio Server Pro on an virtual machine with the memory, disk, and CPU configuration of your choice, and pay by the minute for the VM ...

This is an annual event organised jointly by a “consortium” of academics and modellers working in health economic evaluation. Academic institutions involved include UCL, the University of Bristol, the University of York, the University of...