Recently Published
R notebook for preliminary skate project
The skate project dataset contains skateboard trick consistency scores of 18 tricks. Not all the tricks,the skateboarder is capable of doing are indicated in the dataset. The data was collected by the skateboarder via recording how many times they did the trick basedon a randomised set of tricks. Each trick was given a number and using python (programming language) import random module the tricks were randomised and the skateboarder followed the numbers each time he went to skate in the different places you see in the column place.
Furthermore, other covariates that seemed to have an effect on the consistency scores were the randomised column and board. Sometimes the skateboarder forgot which trick they were to do and did another trick instead of the one listed. Then reviewed the list and tried again.
Hierarchical cluster analysis of the worldwide Highest Ollie contest
A report about a contest held on 7th January 2017. It involved skateboarders from all over the world performing an ollie over an obstacle as well recording the heights achieved - this was calibrated on the obstacle. The event was organized by skate-aid (http://www.skate-aid.org). For more information check out the document.