Chris studied physics at university taking particular interest in computational and experimental physics. While there he engaged in many community-related responsibilities, most notably, leading a society to win the Best Academic and Careers Society of the UK in 2018.
Directing a company providing a social media tool, he found how useful Tableau can be in a business setting, which led him to this role. Here, he hopes to become not only proficient in data preparation and visualisation, but also deepen his ability to provide valuable insights.
His other interests include science communication, live music and cooking.
The more charts I find myself making, the more I find myself falling into habitual design choices, which in many cases is a good thing. It's tried and tested, but to continue growing I think we must make conscious efforts to improve our design. In this blog I'm going...
Ever wondered how to create animated gifs for your blogs? Here I discuss a few recommendations to do so
I got half way through my training at the Data School with only having written 1 blog. In the next half I wrote 30. What changed? Why did I do it? When did I fit it in?
Macros come in three main flavours: Standard, Batch and Iterative. These have some parallels in Python, with which I am more familiar. I hope by highlighting the similarities and differences I may be able to help those in a similar position (and myself).
Save your temporary files somewhere appropriate. Use this technique to clear up your desktop and manage these files appropriately.
Come along for the ride of a Friday project with my progress and reflections.
This will just be a quick blog to show a way to create user filters, as demonstrated in training today.
Let’s say we have some chart in Tableau and we want to quickly copy this data and use it elsewhere. There are a couple ways that you can do this and I will briefly show you them.
A tiny tip about dragging and dropping data into Alteryx
If you are regularly using your own Macros across different projects and you’ve found it difficult to keep track of them, then this one is for you.
A look inside a project managers head on their presentation day. But really it’s my head and this is perhaps not a normal one.
As part of my training I delivered a session to the public on Alteryx Macros in webinar format, here is some reflection.
Each data school cohort typically is involved in 8 client projects while training. These are a week long and occupy roughly half of our work hours that week, with each project having a project manager (PM) from the group. We take it in turns so that each of us are the PM at least once. Next week is my week and I wanted to express some of my thoughts going into this process to reflect on at the end of the week.
Check out this whirlwind viz on the state of the word over the last two centuries.
DWD3 – It’s dashboarding time
Welcome to my brain on dashboard week day three.
Dashboard week day 2 (DWD2)Data/ topic: https://pinballmap.com/ Time needed: 8 hours. Here's the captains log for this voyage into the world of pinball. Who, What, Where, When, Why Taking a look at the data before pursuing any specific topic or task.The API has lots...
So here we go. The infamous dashboard week and for the first day I am dueling with data from the Environment Protection Agency (EPA) in the US. Let's see who lives to see another day.1. There's a lot of data. 1.2gb zipped file for all states. Over 12gb once extracted....