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The Data Team @ The Data Lab

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

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We are delighted to announce our complete list of keynote speakers for the upcoming DataTech19 conference (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 . . .

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November 14, 2018

Announcing The Second Keynote of DataTech19: Mine Çetinkaya-Rundel

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We have further updates on DataTech19, Scotland’s first technical data science conference!

We are pleased to announce our second confirmed keynote speaker for DataTech19: Mine Çetinkaya-Rundel (Associate Professor of the Practice, Duke University, and Data Scientist + Professional Educator at RStudio). Mine’s work focuses . . .

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November 14, 2018

Introducing Jared Lander, Keynote Speaker at DataTech19

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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, . . .

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October 18, 2018

Exploring transport routes, journey characteristics and postcode networks using R Shiny

Hi all,

Recently I've finished work on a project intended to visualise the traffic flow within a subsidised transport service, operated by a Scottish council. This visualisation needed to display variations in traffic flow conditional on factors such as the time of day, day of the week, journey purpose, as well as other criteria. . . .

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June 19, 2018

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 to keep using it from a distance. For such reasons, . . .

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November 24, 2017

Dealing with many dimensions in historical data

Tracking cooperation & conflict patterns over space and time in R

For this post, I've managed to find some extremely interesting historical event data offered by the Cline Center on this page. As you will see, this dataset can be quite challenging because of the sheer number of dimensions you could look at. With so many options, it becomes tricky to create visualisations with the 'right' level . . .

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November 03, 2017

Data guidelines

A set of recommendations for clean and usable data

The extent to which a dataset follows a set of commonly expected guidelines will often determine how much time you have left to spend thinking about your analysis. Ideally, you might intend to spend 20% of your time cleaning the data for a project, and 80% planning and carrying out your actual analysis. But often, it might turn out to be the . . .

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October 17, 2017

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