Meg’s interest in data analysis began when tasked with creating visualisations using a dataset of worldwide Open Access (OA) policy information which she helped to create and maintain (ROARMAP).  After graduating with a BA in Gender and Cultural Studies from Warwick University she embarked on a career in libraries and worked in several universities over the course of the following ten years.  She stumbled across Tableau by accident when researching software to create visualisations and infographics during her time as a consultant for the European Commission funded PASTEUR4OA project.  She was immediately blown away by its capabilities and ease of use.

In her spare time Meg enjoys attempting to recreate the culinary masterpieces of Yotam Ottolenghi, baking and decorating ridiculously elaborate cakes, sewing most of her own clothes and painting portraits.  She is partial to loud rock music.

Anatomy of a successful Data Schooler

Following on from the last blog about the most challenging aspects of DS, Andy asked us to reflect on and write about how to be successful in the Data School.  I guess that really depends on how you choose to quantify success.  Being part of a team who get to learn...

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How to make: Simple Control Chart

The last time I heard the phrase "Standard Deviation" was a good twenty years ago during my GCSE Maths classes and to be honest it very much went in one ear and out the other.  So this week it was time for me to go back to school again and revisit those long forgotten...

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Quick Tips in Pics #2: ‘Compute Using’ for Table Calcs

When you're first using Tableau and come across table calculations it can be somewhat daunting.  There's the great Quick Table Calculation option when you right click a Measure but if you have something in columns then this will default to computing across the table....

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Quick Tips in Pics #1: Cross-Database Joins

When you try to join two or more different datasets in Tableau you will see some handy join options in the form of Venn Diagram. But what do they really mean?  Here's a quick, handy guide. Cross-Database Joins at a Glance Don't forget! Joining across databases joins...

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The good stuff: Design from scratch #2

More tips for how to start thinking about creating a viz without even touching a computer.  Here's how to get going when you're not sure where to start! Quick Ideas, Quick Thinking, Quick Sketching Get as many ideas down on paper as quickly as possible.  Try drawing a...

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The Good Stuff: Design from scratch #1

Just over a month in and The Data School thus far has focused relatively heavily on the number crunching side of data viz, and fair play for that - after all what is the point of visualising data if you can't find an interesting story in it? Interesting stories...

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Alteryx Basics: Create Points (Spatial Tools)

Day 4 of Alteryx 101 week and we have been diving head first into spatial analytics.  One of the most useful tools in the set of Spatial tools is the Create Points tool.  This tool creates a point-type spatial object field from a longitude and latitude input which can...

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Alteryx Basics: Generate Rows

Day 3 of Alteryx 101 and today we looked at more prep tools, as well as some parsing and spatial tools.  Although a lot of complex ground was covered, some basic tools are still worth taking the time to explain as they can make a huge difference, and allow you to add...

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Alteryx Basics: Text to Columns

Week 3 at The Data School, and Day 2 of Alteryx 101 training.  We learnt a huge amount about the variety of different tools available, as well as how to create and use macros and apps within the Alteryx environment. The star of the show for me today was the Text to...

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Alteryx Basics: I’m just here to Browse

This week at The Data School is Alteryx 101 - our very first introduction to a really powerful data preparation and analytics tool.  Already from the get-go Alteryx seems, in the same way as Tableau, to be pitched as highly intuitive with a mostly drag-and-drop...

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Data School Day 3: If in doubt, ‘right click’

The end of Day 3 at The Data School is upon us already - time seems to fly by when you're learning Tableau but at the same time it feels so intuitive that already some things feel like second nature after only a couple of days.  Today was a crash course in so many...

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