Our company have been at it again. This time from my colleagues and fellow Data Scientist Alfonso Portabales. For this post we look at Draper and Dash’s custom method of highlighting dominant predictors in your machine learning models: If you are interested in our solutions in healthcare then please ... [Read more...]

As a product of a series of training sessions Draper & Dash have been undertaking on Machine Learning using R – a candidate from the course asked “how do you split a model to later be used in a live / production environment?”. This post aims to answer that question: I hope you ... [Read more...]

As part of my companies commitment to allow our users access to some of our code – we have created a visual way you can assess your accuracy in a confusion matrix. The below was posted on our blog site and shows how to interpret a confusion matrix. I hope the ... [Read more...]

There is an offer on with my company Draper & Dash to get a discount on ML training for your organisation. Contact the sales team to find out more about this training opportunity. Plus you get to meet our great data science team at Draper and Dash. The below is me ... [Read more...]

The number of times I have to connect to SQL and I forget part of the RODBC command to connect to an internal data table. As part of a project I am working on I have been connecting to lots of different sources and became tired of typing lots of ... [Read more...]

I was inspired by my friend John Mackintosh to have a muck around with the fabulous gganimate. I have to say…. I am in love. I can remember coding this into Excel VBA, to get my animations to work on my data, and now R has the potential. John will ... [Read more...]

It seems like two seconds ago since I was frantically preparing slides for the first NHS community. Wow – what an experience and kudos to the team @NHS-R Community for arranging it. The full content of the event has been posted: https://nhsrcommunity.com/nhs-r-conference-9-october-2018/. What a fantastic event this ... [Read more...]

The problem I was working with a dataset where I wanted to assess the correlation of different variables in R. As much as I like R – the outputs from the console window leave something to be desired (in terms of data visualisation). Therefore, I wanted a way to visualise these ... [Read more...]

One function to rule the world, or install or load your packages for you I was starting to despair at the amount of packages I end up using during the task of transforming, cleaning, modelling and validating some of my models. I thought there must be a simple approach to ... [Read more...]

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Setting up the plot The box plot, in ggplot2, can be really powerful and useful for analysing variation. I will show a few examples of different types of box plots in ggplot2. Basic Box Plot library(ggplot2) theme_set(theme_classic()) # Plot plot [Read more...]

Histograms (with auto binning) Again, we will use the mtcars dataset and use the fields in that to produce the chart, as we are doing this there is nothing to do on the data preparation side. That leaves us to have fun with the plot. Building the Histogram with auto ... [Read more...]

Creating the Dot Plot Variance chart The data preparation was used in the previous blog entitled: Diverging Bar Charts – Plotting Variance with ggplot2. Refer to that if you need to know how to create the data prior to this tutorial. Setting up the Dot Plot Variance chart library(ggplot2) ggplot(... [Read more...]

Diverging Bar Charts The aim here is to create a diverging bar chart that shows variance above and below an average line. In this example I will use Z Scores to calculate the variance, in terms of standard deviations, as a diverging bar. This example will use the mtcars stock ... [Read more...]