Big West FG Scorers

Figure 1: Using cbbdata, a package developed by Andrew Weatherman, field goal percentage data for the Big West Conference was retrieved for the 2024-2025 season. The table was created with gt, incorporating styling enhancements from gtExtras and gtUtils to improve formatting and visualization.

How This Table Was Made

1. 📦 Load Packages & Setup

library(tidyverse)  # Data manipulation and visualization
library(cbbdata)    # College basketball data
library(gt)         # Table formatting
library(gtExtras)   # Extra styling for gt tables
library(gtUtils)    # Additional gt table utilities
library(skimr)      # Data summarization

2. 📖 Read in the Data

df <- cbd_torvik_player_season(year = 2025, conf = "BW")  # Get 2025 player stats for Big West Conference from Torvik database

API Key set!

3. 🕵️ Examine the Data

glimpse(df)  # Quick overview of the dataframe structure and column types
skim(df)     # Detailed summary statistics for each column

4. 🤼 Wrangle Data

# Filter players with at least 150 FGA, select top 10 by FG%, add rank and logo path
df_cleaned <- df %>%
  filter(fga >= 150) %>%
  slice_max(fg_pct, n = 10, with_ties = FALSE) %>%
  mutate(rank = row_number(),
         logo = here::here(paste0("Data/NCAA Big West/", team, ".png"))) %>%
  relocate(rank) %>%
  select(rank, logo, player, exp, hgt, fga, fg_pct)

5. 📊 Table

# Create and format a gt table for the top 10 most efficient scorers in the Big West
t <- df_cleaned %>%
  gt() %>%
  tab_header(
    title = md("**Big West's** Most Efficient Scorers of 2024-2025 (Feb. 7)"),
    subtitle = "Top 10 Players by Field Goal Percentage (Min. 150 Attempts)"
  ) %>%
  cols_label(
    rank = "",
    logo = "",
    player = "",
    exp = "",
    hgt = md("**Height**"),
    fga = md("**FGA**"),
    fg_pct = md("**FG%**")
  ) %>%
  fmt_integer(columns = rank, pattern = "{x}.") %>%
  fmt_percent(columns = fg_pct, decimals = 1) %>%
  gt_img_rows(columns = logo, img_source = "local", height = 27) %>%
  gt_color_rows(columns = fg_pct, palette = "ggsci::blue_grey_material") %>%
  opt_table_font(
    font = google_font(name = "Chivo")
  ) %>%
  cols_align(align = "center",
             columns = hgt:fg_pct) %>%
  tab_style(
    style = cell_borders(
      sides = "b",
      color = "black",
      weight = px(3)
    ),
    locations = cells_column_labels()
  ) %>%
  tab_style(
    style = list(
      cell_text(weight = "bold")
    ),
    locations = cells_title(groups = "title")
  ) %>%
  tab_source_note(source_note = md(
    paste0(
      "Data: cbbdata || ", "<span style='font-family: \"Font Awesome 6 Brands\";'>&#xe61b;</span> ",
      "@AndresAnalytics ",
      "<span style='color: white;'>..</span>",
      "<span style='font-family: \"Font Awesome 6 Brands\";'>&#xf09b;</span> ",
      "OKcomputer626"
    )
  )
  ) %>%
  tab_style(
    style = cell_text(
      color = "gray30", size = px(12)
    ),
    locations = cells_source_notes()
  ) %>%
  tab_footnote(
    footnote = md("**FTA:** Free throws attempted"),
    locations = cells_column_labels(columns = fga)
  ) %>% 
  tab_footnote(
    footnote = md("**FG:** Field goal percentage"),
    locations = cells_column_labels(columns = fg_pct)
  ) %>%
  tab_style(
    style = cell_text(
      color = "gray30", size = px(12)
    ),
    locations = cells_footnotes()
  ) %>%
  cols_width(
    exp ~ px(125),
    hgt ~ px(50),
    fga ~ px(50),
    fg_pct ~ px(75)
  ) %>%
  tab_options(table_body.border.bottom.width = '1px', 
              table_body.border.bottom.color = "gray90", 
              data_row.padding = '5px',
              table.background.color = "#FBFBFB",
              heading.align = "left",
              table.border.top.style = "hidden",
              column_labels.border.top.style = "hidden")

6. 💾 Save

# Save the formatted gt table as an image with cropped whitespace
gt_save_crop(data = t, "Big West FG Scorers Feb 8th.png", whitespace = 10, bg = "#FBFBFB")

8. 🚀 GitHub Repository

TipExpand for GitHub Repo

The complete code for this analysis is available in Big West FG Scorers Feb 8th.qmd.

For the full repository, click here.