Pulls all college football venues and data on capacity, grass, city/state, location, elevation, dome, timezone and construction year.
Value
A data frame with 337 rows and 13 variables:
venue_id:integer.Referencing venue ID.
name:character.Venue name.
capacity:integer.Stadium capacity.
grass:logical.TRUE/FALSE response on whether the field is grass or not (oh, and there are so many others).
city:character.Venue city.
state:character.Venue state.
zip:character.Venue zip.
country_code:character.Venue country code.
location:list.Venue location.
elevation:character.Venue elevation.
year_constructed:integer.Year in which the venue was constructed.
dome:logical.TRUE/FALSE response to whether the venue has a dome or not.
timezone:character.Time zone in which the venue resides (i.e. Eastern Time -> "America/New York").
Examples
# \donttest{
try(cfbd_venues())
#> ── Venue data from CollegeFootballData.com ─────────────────── cfbfastR 1.9.5 ──
#> ℹ Data updated: 2024-09-10 01:24:25 UTC
#> # A tibble: 826 × 13
#> venue_id name capacity grass city state zip country_code location$x
#> <int> <chr> <int> <lgl> <chr> <chr> <chr> <chr> <dbl>
#> 1 4747 Abbott Mem… 10000 NA Tusk… AL 36083 US 32.4
#> 2 6091 Abel Stadi… 2500 NA Linc… NE 68508 US 40.8
#> 3 3599 Ace W. Mum… 28500 FALSE Bato… LA 70807 US 30.5
#> 4 3752 Acrisure S… 68400 TRUE Pitt… PA 15260 US 40.4
#> 5 7496 ACU Footba… 0 NA Glen… AZ NA US NA
#> 6 4436 Adamson St… 6500 NA Brow… PA 15417 US 40.0
#> 7 3601 Aggie Memo… 28853 FALSE Las … NM 88003 US 32.3
#> 8 3603 Aggie Stad… 21500 TRUE Gree… NC 27411 US 36.1
#> 9 3602 Aggie Stad… 10743 FALSE Davis CA 95616 US 38.5
#> 10 4110 A.J. McClu… 0 NA Colu… GA NA US 32.5
#> # ℹ 816 more rows
#> # ℹ 5 more variables: location$y <dbl>, elevation <chr>,
#> # year_constructed <int>, dome <lgl>, timezone <chr>
# }