> library(readr)
> pitch_table <- read_csv("~/pitchFxScraper/pitch_table.csv")
Parsed with column specification:
cols(
  .default = col_character(),
  year = col_integer(),
  st_fl = col_logical(),
  regseason_fl = col_logical(),
  playoffs_fl = col_logical(),
  game_id = col_integer(),
  interleague_fl = col_logical(),
  inning = col_integer(),
  bat_home_id = col_integer(),
  park_id = col_integer(),
  pit_id = col_integer(),
  bat_id = col_integer(),
  pa_ball_ct = col_integer(),
  pa_strike_ct = col_integer(),
  outs_ct = col_integer(),
  pa_terminal_fl = col_logical(),
  pa_event_cd = col_integer(),
  start_bases_cd = col_integer(),
  end_bases_cd = col_integer(),
  event_outs_ct = col_integer(),
  ab_number = col_integer()
  # ... with 5 more columns
)
See spec(...) for full column specifications.
|==================================================================| 100%  408 MB
> View(pitch_table)
> library(ggplot2)