This is my first assignment, I was told to get into R and load my data that i found/made into R. Im using Rstudio with R markdown to do this project in.
I used data from from pro football reference and nfl website. The website that I used can be found here https://www.pro-football-reference.com/years/2020/opp.htm and here https://www.nfl.com/standings/ . What i did is basically made my own data sheet because the nfl was to simple and the PFR was missing stuff that i wanted.so I made my own data sheet in excel then the turn it into a csv and upload it to git hub.
data = read.csv('https://raw.githubusercontent.com/jacmantooth/applied_stats-/main/2020%20nfl%20defense%20.csv')What I think my data will show is a correlation between a team defense and a team record. Last semester I did this with NFL offenses and found that running the ball lead to a greater chance of having a winning record.
head(data)## Tm G Att Cmp Yds TD DADOT Air YAC Bltz Bltz. Hrry Hrry.
## 1 Arizona Cardinals 16 570 365 3623 26 7.7 1920 2057 256 39.30% 66 10.10%
## 2 Atlanta Falcons 16 625 425 4697 34 8.5 2757 2248 224 32.80% 73 10.70%
## 3 Baltimore Ravens 16 596 380 3536 22 7.9 2078 1787 290 44.10% 60 9.10%
## 4 Buffalo Bills 16 573 369 3726 23 7.0 2192 1758 230 35.80% 51 7.90%
## 5 Carolina Panthers 16 585 398 3825 28 7.4 2372 1971 153 24.00% 60 9.40%
## 6 Chicago Bears 16 547 350 3705 28 8.6 2377 1751 131 21.40% 50 8.20%
## QBKD QBKD. Sk Prss Prss. MTkl win lose tie rank PF Y.P TO FL X1stD Int
## 1 54 9.50% 48 168 25.80% 111 8 8 0 12 367 5.3 21 10 363 11
## 2 59 9.40% 29 161 23.60% 100 4 12 0 19 414 6.2 21 9 367 12
## 3 71 11.90% 39 170 25.90% 135 11 5 0 2 303 5.2 22 12 347 10
## 4 46 8.00% 38 135 21.00% 127 13 3 0 16 375 5.5 26 11 351 15
## 5 45 7.70% 29 134 21.00% 119 5 11 0 18 402 5.6 22 15 360 7
## 6 48 8.80% 35 133 21.80% 89 8 8 0 14 370 5.4 18 8 331 10
## X1stDP RushAtt Yds.1 TD.1 Y.A X1stDR playoff winning.record.
## 1 207 436 2008 13 4.6 118 no no
## 2 239 380 1677 15 4.4 97 no no
## 3 213 382 1740 12 4.6 96 yes yes
## 4 199 414 1914 21 4.6 125 yes yes
## 5 211 408 1936 17 4.7 114 no no
## 6 190 438 1814 11 4.1 104 yes noThe difficulties that I will face are 1.the load time and 2.figuring out what data will I use. Do i go really specific or simple. The data that i am using has thing like time sacked then it goes into detail like time in pocket and first down gained by running. i might even do both for the fun of it.
Using the the summary command I was able to produce the following
summary(data)## Tm G Att Cmp Yds
## Length:32 Min. :16 Min. :494.0 Min. :298.0 Min. :3051
## Class :character 1st Qu.:16 1st Qu.:540.0 1st Qu.:342.5 1st Qu.:3573
## Mode :character Median :16 Median :557.0 Median :367.0 Median :3807
## Mean :16 Mean :563.1 Mean :367.4 Mean :3842
## 3rd Qu.:16 3rd Qu.:581.2 3rd Qu.:380.8 3rd Qu.:4113
## Max. :16 Max. :674.0 Max. :450.0 Max. :4697
## TD DADOT Air YAC Bltz
## Min. :17.00 Min. :7.000 Min. :1604 Min. :1376 Min. : 98.0
## 1st Qu.:22.75 1st Qu.:7.700 1st Qu.:2141 1st Qu.:1750 1st Qu.:145.8
## Median :28.00 Median :8.100 Median :2366 Median :1858 Median :180.0
## Mean :27.22 Mean :8.181 Mean :2332 Mean :1870 Mean :187.2
## 3rd Qu.:30.25 3rd Qu.:8.625 3rd Qu.:2502 3rd Qu.:2040 3rd Qu.:225.5
## Max. :38.00 Max. :9.500 Max. :2970 Max. :2282 Max. :290.0
## Bltz. Hrry Hrry. QBKD
## Length:32 Min. :40.00 Length:32 Min. :29.00
## Class :character 1st Qu.:50.00 Class :character 1st Qu.:41.75
## Mode :character Median :59.50 Mode :character Median :47.00
## Mean :59.84 Mean :48.47
## 3rd Qu.:69.25 3rd Qu.:55.25
## Max. :80.00 Max. :71.00
## QBKD. Sk Prss Prss.
## Length:32 Min. :17.00 Min. :101.0 Length:32
## Class :character 1st Qu.:28.50 1st Qu.:132.5 Class :character
## Mode :character Median :36.50 Median :143.0 Mode :character
## Mean :35.47 Mean :143.8
## 3rd Qu.:42.75 3rd Qu.:160.2
## Max. :56.00 Max. :202.0
## MTkl win lose tie
## Min. : 68.00 Min. : 1.000 Min. : 2.000 Min. :0.0000
## 1st Qu.: 96.25 1st Qu.: 5.000 1st Qu.: 5.000 1st Qu.:0.0000
## Median :109.00 Median : 7.500 Median : 8.500 Median :0.0000
## Mean :107.72 Mean : 7.969 Mean : 7.969 Mean :0.0625
## 3rd Qu.:120.50 3rd Qu.:11.000 3rd Qu.:11.000 3rd Qu.:0.0000
## Max. :147.00 Max. :14.000 Max. :15.000 Max. :1.0000
## rank PF Y.P TO
## Min. : 1.00 Min. :296.0 Min. :4.600 Min. : 9.00
## 1st Qu.: 8.75 1st Qu.:356.5 1st Qu.:5.300 1st Qu.:18.75
## Median :16.50 Median :382.5 Median :5.500 Median :22.00
## Mean :16.50 Mean :396.6 Mean :5.572 Mean :20.78
## 3rd Qu.:24.25 3rd Qu.:440.8 3rd Qu.:5.900 3rd Qu.:23.00
## Max. :32.00 Max. :519.0 Max. :6.300 Max. :29.00
## FL X1stD Int X1stDP
## Min. : 4.000 Min. :280.0 Min. : 3.00 Min. :161.0
## 1st Qu.: 6.750 1st Qu.:330.5 1st Qu.:10.00 1st Qu.:186.8
## Median : 8.000 Median :349.0 Median :12.00 Median :205.0
## Mean : 8.438 Mean :347.1 Mean :12.34 Mean :204.6
## 3rd Qu.:10.000 3rd Qu.:366.2 3rd Qu.:15.00 3rd Qu.:215.0
## Max. :15.000 Max. :415.0 Max. :18.00 Max. :253.0
## RushAtt Yds.1 TD.1 Y.A
## Min. :358.0 Min. :1289 Min. :10.00 Min. :3.600
## 1st Qu.:405.2 1st Qu.:1765 1st Qu.:13.00 1st Qu.:4.100
## Median :429.0 Median :1888 Median :16.00 Median :4.500
## Mean :431.0 Mean :1902 Mean :16.62 Mean :4.388
## 3rd Qu.:449.5 3rd Qu.:2030 3rd Qu.:19.25 3rd Qu.:4.600
## Max. :517.0 Max. :2564 Max. :27.00 Max. :5.200
## X1stDR playoff winning.record.
## Min. : 78.00 Length:32 Length:32
## 1st Qu.: 97.75 Class :character Class :character
## Median :113.00 Mode :character Mode :character
## Mean :111.28
## 3rd Qu.:120.50
## Max. :145.00ngl R is hard it took me about three days to figure out how to get a data sheet on here. turns out its honestly it is really simple if you just upload it to git hub.maybe im just secertly a blonde, i hope this is what you wanted.