5,816 comparisons among 706 agents.
| Description | College football results from 2021-2022. |
|---|---|
| Licence | CC0 1.0 |
| Source data | https://www.kaggle.com/datasets/thedevastator/analyzing-college-football-2022-wins-losses-rank?resource=download&select=games2020.csv |
| Comparisons | 5,816 |
|---|---|
| Agents | 706 |
agent_aagent_bdatehomefieldscore_ascore_bwinner
Or load it directly in R (no account needed with irw 1.4.0 or later) or Python (needs a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("irw")
library(irw)
df <- irw_fetch("collegefb_2021and2022", source = "comp")
# Python
pip install irw
import irw
df = irw.fetch("collegefb_2021and2022", source="comp")
Or in Stata, which reads the same no-account CSV as the button above:
* Stata
net install irw, from("https://raw.githubusercontent.com/itemresponsewarehouse/Stata-pkg/main/")
irw_fetch collegefb_2021and2022, clear source(comp)
@misc{analyzing_college_football_2022,
title = {Analyzing College Football 2022 Wins Losses Rank},
url = {https://www.kaggle.com/datasets/thedevastator/analyzing-college-football-2022-wins-losses-rank?resource=download&select=games2020.csv},
note = {Accessed: 2023-10-01}
}
| IRW version | v712 |
|---|---|
| Redivis dataset | irw_competitions v7.1 |
| Redivis dataset DOI | 10.57761/3r1w-t660 |
| Manifest pin for this IRW version | v7.1 |
| Metadata source | irw_meta v68.0 |