If you don’t agree with it, please, please don’t blame the data.
This blog will be mainly about sport, but will touch on other parts of life also, using data visualisations to tell the story. What I can promise though is it will be filled with my own selfish pleasures. I hope they align with my readers’ interests.
Some of the sports that will be included include Australian Rules Football (AFL), Basketball, American Football, World Football (Soccer) and many more.
The one constant is that the data will tell the story.
If you don’t agree with it, please, please don’t blame the data.
My name is Jason Zivkovic and I’m a Data Scientist at the Reece Group.
Growing up as a sports-mad child and teen, statistics were always in my world. But with the love of sport blinding me, I didn’t even realise it was a love of statistics and data. Then, after meandering (much to my mother’s chagrin) through my early work life, and dabbling with different careers, I discovered edX and DataCamp and the programming-focused data analysis short courses they had available. I started taking them and my love of the data was rekindled! Life was made a lot easier in that I had two managers in a row who’s thirst for analytics was as prominent as mine and they gave me the freedom to learn, explore and discover endless possibilities. To them I will be forever greatful.
Kaggle was where I first started dabbling in small analyses - the datasets are as diverse as any wide-eyed newbie could wish for. I still have a look from time to time and think I should write another kernel. I got some great help from the Kaggle community and the code bases there are really good for any new starter. You can find my profile here.
An R package developed to aid in the extraction of world football (soccer) data from fbref.com
An R package developed to aid in the extraction and analysis of data from popular online chess platforms