R Dataset / Package Stat2Data / FinalFourIzzo
On this R-data statistics page, you will find information about the FinalFourIzzo data set which pertains to FinalFourIzzo. The FinalFourIzzo data set is found in the Stat2Data R package. You can load the FinalFourIzzo data set in R by issuing the following command at the console data("FinalFourIzzo"). This will load the data into a variable called FinalFourIzzo. If R says the FinalFourIzzo data set is not found, you can try installing the package by issuing this command install.packages("Stat2Data") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the FinalFourIzzo R data set. The size of this file is about 19,062 bytes.
FinalFourIzzo
Description
NCAA Final Four by seed with indicator for Tom Izzo's teams
Format
A dataset with 1664 observations on the following 4 variables.
Year | Year 1985-2010 |
Seed | Seed in NCAA men's basketball tournament: 1 to 16 |
Final4 | 1=made Final Four or 0=did not make Final Four |
Izzo | 1=team coached by Tom Izzo or 0=not an Izzo team |
Details
Each year 64 college teams are selected for the NCAA Division I Men's Basketball tournament, with 16 teams placed in each of four regions. Within each region the teams are seeded from 1 to 16, with the (presumed) best team as the 1 seed and the (presumed) weakest team as the 16 seed; this practice of seeding teams began in 1979 for the NCAA tournament. Only one team from each region (so four teams each year) advances to the Final Four. This dataset if is the same as FinalFourLong, except the data starts in 1985 and we have a extra column that is an indicator for Michigan State teams coached by Tom Izzo.
Source
Final Four teams and their seed can be found at http://www.championshiphistory.com/ncaahoops.php.
Dataset imported from https://www.r-project.org.
<iframe src="https://pmagunia.com/iframe/r-dataset-package-stat2data-finalfourizzo.html" width="100%" height="100%" style="border:0px"></iframe>