This is the repository of my work based on the Tidy Tuesday Beach Volleyball Data Set. I have tried to create some creative graphs on the data set. Hope you will like them too. The data set can be accessed from the Git Hub Link - https://github.com/rfordatascience/tidytuesday/blob/master/data/2020/2020-05-19/readme.md
The R Plots prepared in this repository are:-
- Winning/Loosing Strategies as a graph which can indicate the predictors of wins/lossed as against the moves made in the games by the winning or the loosing teams
- Frequency Distributions of Wins after a 1st Set loss versus the difference in the rankings between the two teams
- Age Distribution of players in the winning and the loosing teams. If age can be thought of as a predictor for a win. Violin maps are added as a learning demo.
- Height distribution of the players in the winning and the loosing teamsn. If height can be thought of as a predictor for a win. Violin maps are added as a learning demo.
- Moves and Strategies adopted in the different rounds. This graph shows how the competitions tend to become more and more competitive as the tournament progresses through Rounds
- The duration of the matches as against the rounds. The outliers indicate how certain matches tend to get lengthy as we get to more tougher phases of the tournament.