Lily Unsworth

Lily Unsworth

Lily Unsworth

Lily has come from a background in Nursing, having spent the past two years in research where she witnessed first-hand the impact that data has on people’s lives. Understanding of the volume of data we now have access to and the insights to be gained from it, combined with a passion for communicating concepts in an accessible format, she wanted to apply this in a more creative and challenging environment.

She discovered data visualisation through a Meet Up and realised that it could provide everything she was looking for in a new career. Upon discovering the Data School, she started playing with Tableau for her application and enjoyed it so much, she knew she’d made the right decision to move into data analysis.

In the outside world Lily likes to try her hand at anything, from carpentry to floristry. She has a new-found interest in cycling, a rekindled love for swimming, and a strong desire to fuel them both with good food and wine.

Dashboard Week, day 5: Striking sets

1000 meteorites + 4 hours + 2 new features = 1 final day. The data for today came from NASA and looked at Meteorite landings for the last 1000 or so years. Andy specifically said there was no Alteryx involved, so the first thing I did was open Alteryx to download the...

Dashboard Week, Day 4: Andy decides to make us ‘appy

Three down, two days to go and our task for Thursday was to create an app in Alteryx which allowed the user to specify five locations from the COORD Bike Sharing API, then visualise the data in Tableau. We were allowed to work as a team for the app, so the work was...

Dashboard Week, Day 3: We Need To Talk about Tableau 8.

Andy didn’t call in to set us today’s task, instead it was through his blog post that he released the details of his plan. Turns out it was to make Tableau v9 look good, because today we worked in version 8. At this rate maybe we’ll be in Tableau -1 by Friday (or...

Dashboard Week, Day 2: Less haste, more speed.

For Tuesday’s task, Andy asked us to download and analyse daily summary weather observations from the National Weather Service’s Cooperative Observer Program. His specific instructions were: “The team needs to download weather observations from every station for every...

Dashboard Week, Day 1: Off to an insulting start

Day one of the infamous dashboard week at the Data School. We’ve all heard about it, read about, had nightmares about it, and so we sat down somewhat apprehensively for the 9am call with Andy to give us the task for the day. Our mission was to use the FOAAS Api to...

Web Scraping and APIs Part III: Web Scraping for dummies

Last time we discussed APIs, and what can be gained through using them. But what do you do if a website has no API? Don’t panic! You can just download the HTML from the site itself. Not as bad as it sounds, trust me. Before you start scraping a website, the first...

Web Scraping and APIs Part I: What even is the Internet?

The last few weeks in the Data School have seen us learning lots about APIs and web scrapping in Alteryx. I thought it might be useful to do a quick series introducing some of the concepts and discuss where and how they can be useful. First let’s go back to basics and...

Playing cupid: Filtering across data sources.

This week has focused on extending and improving our Tableau knowledge, firstly with learning some Tableau Server and then followed by with Tableau Intermediate training. With Andy busy interviewing for the next DS, he left us in the capable hands of Peter Silvester...

Long live the Post-It™

Monday this week consisted of our session with Caroline Beavon, who is a really engaging infographics wiz. Laptops away, we instead had crayons and Post-Its to work with. Caroline gave us some great ideas to help focus your design, along with tools to use, and...