Technical Blog from our Data Science Team

Read the latest technical blogs from our data science team.

New Keynote Announcement for DataTech19: Debbie Bard, and Deadline Extension for Proposals

We are delighted to announce our complete list of keynote speakers for the upcoming DataTech19conference (organised by The Data Lab as part of DataFest), which now includes Debbie Bard, expert in machine learning at scale and data-intensive computing for experimental science, from the National Energy Research Scientific Computing Center (NERSC). Following this essential update, we would like to take the

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Introducing Jared Lander, Keynote Speaker at DataTech19

Join us for DataTech19, Scotland’s first technical data science conference as part of DataFest The Data Lab is delighted to introduce a new event to the DataFest family: DataTech (14 March 2019, Edinburgh). This technical, one-day data science conference will cater to a diverse audience including analysts, developers, engineers and scientists from the public sector, academia and industry.

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An R-based App for Exploring Traffic Accidents in Scotland

Recently I discovered that the UK government collects detailed information about traffic accidents across the country that are being reported to the police. What’s even more interesting is that all these data are being uploaded and made publicly available on the government’s open data website. This dataset, being so rich, immediately caught my attention. I

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Introducing ‘Alteryx’ as a platform for Data Science

What is Alteryx, and why should I care? This guest blog entry was inspired by Richard’s recent post in which he observed that “it is always important to keep an eye on the tools we use as data scientists and forever be on the lookout for new and better ways of doing things.” Just as Python is

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Running R remotely: some options and tips

Why would you need to do this? Say, for instance, you are dealing with sensitive data that should not leave a specific system, or quite simply that you are away on a work retreat – but your laptop is far less powerful than your work desktop computer which you left behind – so you want

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