Slam_top_chart_by_trn$NUM_WINS % filter(NUM_WINS > 10) slam_top_chart_by_trn = slam_win %>% filter(WINNER %in% top_winners_gt4$WINNER) %>% group_by(TOURNAMENT, WINNER) %>% summarise(NUM_WINS=n()) %>% arrange(desc(NUM_WINS)) Scale_fill_gradientn(colours = the_colours)įurther, to facilitate comparison of champions’ performances for each specific tournament, the grouping by TOURNAMENT and WINNER is necessary. Geom_bar(stat='identity') + coord_flip() + guides(fill=FALSE) + Ggplot(data=top_winners_gt4, aes(x=WINNER, y=NUM_WINS, fill=NUM_WINS)) + slam_top_chart$WINNER % filter(NUM_WINS >= 4) Our barplot involves the champions who won at least four Tennis Grand Slam tournaments. In that way, we can evaluate the players performance from the absolute perspective and relative to each other. To graphically introduce such table, a barplot reporting winners ordered by their number of wins is suggestable. library_toload % group_by(WINNER) %>% summarise(NUM_WINS=n()) %>% arrange(desc(NUM_WINS)) Loading R libraries and importing the Tennis Grand Slam Winners dataset. Library(knitr) #for neaty dataset printing Overall, we are going to take advantage of the following R packages: library(ggplot2) #for barplots Our analysis shall involve basic dataset manipulation as well. We are going to use the Tennis Grand Slam Tournaments results as outlined by the ESP site at: ESPN site tennis history table and which has been made available as tab-delimited file at the following link: tennis-grand-slam-winners In this tutorial, we show what plots flavors may help in champions performances comparison, timeline visualization, player-to-player and player-to-tournament relationships. If you want to re-enact your childhood and literally perform tennis strokes live in your living room from a gesture standpoint then Move is where it is at.Data visualization of sports historical results is one of the means by which champions strengths and weaknesses comparison can be outlined. If you want to sit down and relax on your couch and have a very rewarding, intuitive experience with total racquet control on the right stick, then go for it. “It all depends on how you want to play the game. I questioned Singleton about the differences between the control methods. The game was fun to play until I increased the difficulty level to hard and then got absolutely hammered by the AI. The game’s Total Racquet Control system made it easy to perform loads of different shots using either the right stick or tilting and twisting the Move controller. From the perspective of someone who wants to feel like they’re playing tennis, the Move controller wins hands-down. I tested out preview of Grand Slam Tennis 2 using a standard PlayStation 3 and a Move controller. Grand Slam Tennis 2 is benefiting from that change in mind-set and bringing the masses into an experience from a pick-up-and-play standpoint.” He said “We’ve done a disservice to the general public and pushed them away from the gaming market by making things too complex – complex button combinations and modes that are impossible to get through from a navigation stand point when it gets to the UI. I asked Singleton about making tennis as accessible as possible to console players. The game, which is released next month, features all four Grand Slam tournaments, the ability to replay classic matches like Borg vs. I met up with Thomas Singleton, producer for Grand Slam Tennis 2 to get his thoughts on making sports games more accessible, in-game commentary and using the PlayStation Move controller.
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