Jason ZivkovicinAnalytics VidhyaEXTRACT FOOTBALL (SOCCER) DATA IN R WITH ZERO R EXPERIENCEGoing from absolutely zero R coding experience to being able to extract data using the R package worldfootballR.Jun 14, 20212Jun 14, 20212
Jason ZivkovicHistorically bad Melbourne Victory as told by EloUsing worldfootballR and Elo to show how the Melbourne Victory are all-time bad this A-League seasonApr 19, 2021Apr 19, 2021
Jason ZivkovicinTowards Data ScienceAnalysing Passing in the Top Five European Domestic LeaguesUsing the worldfootballR R package to analyse different passing behaviour in the top five domestic European Soccer leaguesJan 31, 20211Jan 31, 20211
Jason ZivkovicinAnalytics VidhyaExpected Goals and Liverpool — An Intro to worldfootballRUsing the worldfootballR R package to analyse Liverpool expected goals in the EPLJan 22, 20212Jan 22, 20212
Jason ZivkovicinTowards Data ScienceAn Introduction to the worldfootballR R PackageUsing the worldfootballR R package to extract Premier League substitution dataJan 13, 20211Jan 13, 20211
Jason ZivkovicinTowards Data ScienceThe Agony and the Ecstasy of my First Open Source ContributionMy first open source contribution wasn’t all smooth sailing, but it sure was thoroughly rewardingDec 21, 2019Dec 21, 2019
Jason ZivkovicinTowards Data ScienceWhen the statistic used changes the AFL age narrative for 2020Should we use the mean or median?Dec 9, 2019Dec 9, 2019
Jason ZivkovicinTowards Data ScienceEnhancing Static Plots with AnimationsUsing gganimate to spice up ggplot2 visualisationsAug 30, 2019Aug 30, 2019
Jason ZivkovicinTowards Data ScienceAnalysing Team USA vs Australian Basketball TweetsOn the 24th of August, 2019, the Australian Men’s Basketball team created history against Team USA. We analyse tweets during this period.Aug 29, 2019Aug 29, 2019
Jason ZivkovicinTowards Data ScienceBuilding a Linear Regression Model in R to Predict AFL CrowdsCan this model beat the baseline?Jul 29, 20191Jul 29, 20191
