In saiemgilani/recruitR: A College Sports Recruiting Package

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

Offensive Tackle Example

if (!requireNamespace('pacman', quietly = TRUE)){
  install.packages('pacman')
}
pacman::p_load_current_gh("sportsdataverse/recruitR")

pacman::p_load(dplyr, ggplot2)

Let's say that we are interested in seeing how many offensive tackles in the 2020 recruiting cycle were:

located in Florida
located in the states bordering Florida
ranked inside the top 1000

FL_OTs <- cfbd_recruiting_player(2020, recruit_type = 'HighSchool', state='FL', position ='OT')
GA_OTs <- cfbd_recruiting_player(2020, recruit_type = 'HighSchool', state='GA', position ='OT')
AL_OTs <- cfbd_recruiting_player(2020, recruit_type = 'HighSchool', state='AL', position ='OT')
SE_OTs <- dplyr::bind_rows(FL_OTs, GA_OTs, AL_OTs)

SE_OTs_1k <- SE_OTs %>% 
  dplyr::filter(ranking < 1000) %>% 
  dplyr::arrange(ranking)

SE_OTs_1k %>% 
  dplyr::select(ranking, name, school, committed_to, position, 
         height, weight, stars, rating, city, state_province)

Plotting the Offensive Tackles by State

You can also create a plot:

SE_OTs_1k$stars <- factor(SE_OTs_1k$stars,levels = c(5,4,3,2))

SE_OTs_1k_grp <- SE_OTs_1k %>%
  dplyr::group_by(state_province, stars) %>%
  dplyr::summarize(players = dplyr::n()) %>% 
  dplyr::ungroup()

ggplot(SE_OTs_1k_grp ,aes(x = state_province, y = players, fill = factor(stars))) +
  geom_bar(stat = "identity",colour='black') +
  xlab("State") + ylab("Number of Players") +
  labs(title="Top-1000 Offensive Tackles in FL, GA, and AL - Class of 2020",
       subtitle="Figure: @SaiemGilani | Data: @CFB_data with #recruitR")+
  geom_text(aes(label = players),size = 4, position = position_stack(vjust = 0.5))+
  scale_fill_manual(values=c("dodgerblue2","lightskyblue","red3","ghostwhite"))+
  theme(legend.title = element_blank(),
        legend.text = element_text(size = 12, margin=margin(t=0.2,r=0,b=0.2,l=-1.2,unit=c("mm")), 
                                   family = "serif"),
        legend.background = element_rect(fill = "grey99"),
        legend.key.width = unit(.2,"cm"),
        legend.key.size = unit(.3,"cm"),
        legend.position = c(0.25, 0.84),
        legend.margin=margin(t = 0.4,b = 0.4,l=-1.2,r=0.4,unit=c('mm')),
        legend.direction = "horizontal",
        legend.box.background = element_rect(colour = "#500f1b"),
        axis.title.x = element_text(size = 12, margin = margin(0,0,1,0,unit=c("mm")), 
                                    family = "serif",face="bold"),
        axis.text.x = element_text(size = 10, margin=margin(0,0,1,0,unit=c("mm")),
                                   family = "serif"),
        axis.title.y = element_text(size = 12, margin = margin(0,0,0,0,unit=c("mm")), 
                                    family = "serif",face="bold"),
        axis.text.y = element_text(size = 12, margin = margin(1,1,1,1,unit=c("mm")), 
                                    family = "serif"),
        plot.title = element_text(size = 14, margin = margin(t=0,r=0,b=1.5,l=0,unit=c("mm")),
        lineheight=-0.5, family = "serif",face="bold"),
        plot.subtitle = element_text(size = 12, margin = margin(t=0,r=0,b=2,l=0,unit=c("mm")), 
                                     lineheight=-0.5, family = "serif"),
        plot.caption = element_text(size = 12, margin=margin(t=0,r=0,b=0,l=0,unit=c("mm")),
                                    lineheight=-0.5, family = "serif"),
        strip.text = element_text(size = 10, family = "serif",face="bold"),
        panel.background = element_rect(fill = "grey95"),
        plot.background = element_rect(fill = "grey85"),
        plot.margin=unit(c(top=0.4,right=0.4,bottom=0.4,left=0.4),"cm"))