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 1.9.3 ──
#> ℹ Data updated: 2023-03-23 02:30:53 UTC
#> # A tibble: 804 × 13
#> venue…¹ name capac…² grass city state zip count…³ locat…⁴ eleva…⁵ year_…⁶
#> <int> <chr> <int> <lgl> <chr> <chr> <chr> <chr> <dbl> <chr> <int>
#> 1 4747 Abbo… 10000 NA Tusk… AL 36083 US 32.4 122.8 1925
#> 2 6091 Abel… 2500 NA Linc… NE 68508 US 40.8 NA NA
#> 3 3599 Ace … 28500 FALSE Bato… LA 70807 US 30.5 20.242… 1928
#> 4 4436 Adam… 6500 NA Brow… PA 15417 US 40.0 NA NA
#> 5 3601 Aggi… 28853 FALSE Las … NM 88003 US 32.3 1208.2… 1978
#> 6 3602 Aggi… 10743 FALSE Davis CA 95616 US 38.5 11.382… 2007
#> 7 3603 Aggi… 21500 TRUE Gree… NC 27411 US 36.1 235.12… 1981
#> 8 4110 A.J.… 0 NA Colu… GA NA US 32.5 NA NA
#> 9 6283 A.J.… 15000 NA High… NC 28806 US 36.0 NA NA
#> 10 3604 Alam… 36582 FALSE San … TX 78299 US 29.4 201.55… 1993
#> # … with 794 more rows, 3 more variables: location$y <dbl>, dome <lgl>,
#> # timezone <chr>, and abbreviated variable names ¹venue_id, ²capacity,
#> # ³country_code, ⁴location$x, ⁵elevation, ⁶year_constructed
# }