Jonathan Carter
Jonathan has a scientific background with a master’s degree in Chemistry and extensive experience working in the specialty chemical industry. He has over a decade of professional experience in various roles, ranging from chemist through to account management and business development.
After moving to Australia in 2021, he took the opportunity to use his passion for data and love of problem-solving to follow a new career path into data analytics. A journey of discovery through this period led him to The Data School, and he can’t wait to continue to develop his analytics tool kit.
Jonathan is also passionate about sport, with particular interest in soccer, motorsport, and American football. He previously played touch football for Scotland and is always looking for a new challenge!
Adding Variability with RAND() in Alteryx
As someone who loves precision and completeness, I was a little surprised recently when I came across scenarios where I wanted to introduce some randomness into my data world. In my previous blog I discussed creating mock data, and in a recent project, I needed just...
Creating Mock Data with Mockaroo
Fake Data? Fake Data. It sounds like a bad thing, right? Well, not always. Of course, there are some unscrupulous people out there who use false information for malintent, but there are also some very legitimate times for the use of fake data. Creating a mock data set...
The Data School Chicken Nugget Challenge
The Challenge At a data-driven organisation like MIP & The Data School Down Under, facts, figures, and evidence, are the cornerstone of everything. This doesn't just apply to business solutions and insights, but also to bold, food-eating claims. That's why, when...
The Battle to Brew the World’s Strongest Beer (Dashboard Week – Day 3)
BrewDog started life in a garage in the North East of Scotland back in the mid-00s. Their rise to international brewery superstardom (if such a thing exists) has been meteoric. Their profile has grown so significantly that despite me now residing over 16,000 km from...
The Melbourne Cup Time Machine (Dashboard Week – Day 1)
Not only is it 2022 Melbourne Cup week, it's also infamous Dashboard Week at The Data School Down Under. With that being the case, it wasn't a shock to be given a Melbourne Cup dataset containing the results from recent races. Since everyone is in a party mood, it...
Data in Motorsport: Creating a Race Track Visualization in Tableau
In the previous blog in this series, I used the FastF1 Python package to acquire some Formula 1 telemetry data. Now, I’ll be using that data to create a visualisation of a race track in Tableau. The lap data obtained for this project is the fastest lap by Max...
Data in Motorsport: Acquiring Formula 1 Telemetry Data using Python and FastF1
In part 1 of the Data in Motorsport series, I introduced the amazing FastF1 Python package. In this blog, I’ll show you how you can pull some telemetry data with just a few lines of code. Python is, of course, a prerequisite for creating and running this code, and all...
Data in Motorsport: The Best Online Resources for Formula 1 Data
As an analyst and motorsport enthusiast looking to develop my analytical skills, the idea of getting my hands on real-world telemetry and historic races results is a dream come true. So, as I began to explore the world of data around me, I couldn’t wait to get stuck...
Data: My Future and Yours
Back to School It’s been an interesting year. COVID has, of course, created havoc with my routines. But in addition to that, I also chose to make a big career change. For me, 2021 was a time of self-reflection. I took the opportunity to look back at my career to date;...