#setup
library(datasetsICR)
mydata<-data("FIFA")
head(FIFA, 10)
## Name Age Nationality Overall Potential Club
## 1 L. Messi 31 Argentina 94 94 FC Barcelona
## 2 Cristiano Ronaldo 33 Portugal 94 94 Juventus
## 3 Neymar Jr 26 Brazil 92 93 Paris Saint-Germain
## 4 De Gea 27 Spain 91 93 Manchester United
## 5 K. De Bruyne 27 Belgium 91 92 Manchester City
## 6 E. Hazard 27 Belgium 91 91 Chelsea
## 7 L. Modri 32 Croatia 91 91 Real Madrid
## 8 L. Surez 31 Uruguay 91 91 FC Barcelona
## 9 Sergio Ramos 32 Spain 91 91 Real Madrid
## 10 J. Oblak 25 Slovenia 90 93 Atletico Madrid
## Value Wage Special Preferred.Foot International.Reputation Weak.Foot
## 1 110.5 565 2202 Left 5 4
## 2 77 405 2228 Right 5 4
## 3 118.5 290 2143 Right 5 5
## 4 72 260 1471 Right 4 3
## 5 102 355 2281 Right 4 5
## 6 93 340 2142 Right 4 4
## 7 67 420 2280 Right 4 4
## 8 80 455 2346 Right 5 4
## 9 51 380 2201 Right 4 3
## 10 68 94 1331 Right 3 3
## Skill.Moves Work.Rate Position Jersey.Number Contract.Valid.Until
## 1 4 Medium/ Medium RF 10 2021
## 2 5 High/ Low ST 7 2022
## 3 5 High/ Medium LW 10 2022
## 4 1 Medium/ Medium GK 1 2020
## 5 4 High/ High RCM 7 2023
## 6 4 High/ Medium LF 10 2020
## 7 4 High/ High RCM 10 2020
## 8 3 High/ Medium RS 9 2021
## 9 3 High/ Medium RCB 15 2020
## 10 1 Medium/ Medium GK 1 2021
## Height Weight LS ST RS LW LF CF RF RW LAM CAM RAM LM
## 1 170.18 72.12119 88+2 88+2 88+2 92+2 93+2 93+2 93+2 92+2 93+2 93+2 93+2 91+2
## 2 187.96 83.00740 91+3 91+3 91+3 89+3 90+3 90+3 90+3 89+3 88+3 88+3 88+3 88+3
## 3 175.26 68.03886 84+3 84+3 84+3 89+3 89+3 89+3 89+3 89+3 89+3 89+3 89+3 88+3
## 4 193.04 76.20352
## 5 180.34 69.85322 82+3 82+3 82+3 87+3 87+3 87+3 87+3 87+3 88+3 88+3 88+3 88+3
## 6 172.72 73.93556 83+3 83+3 83+3 89+3 88+3 88+3 88+3 89+3 89+3 89+3 89+3 89+3
## 7 172.72 66.22449 77+3 77+3 77+3 85+3 84+3 84+3 84+3 85+3 87+3 87+3 87+3 86+3
## 8 182.88 86.18255 87+5 87+5 87+5 86+5 87+5 87+5 87+5 86+5 85+5 85+5 85+5 84+5
## 9 182.88 82.10022 73+3 73+3 73+3 70+3 71+3 71+3 71+3 70+3 71+3 71+3 71+3 72+3
## 10 187.96 87.08974
## LCM CM RCM RM LWB LDM CDM RDM RWB LB LCB CB RCB RB
## 1 84+2 84+2 84+2 91+2 64+2 61+2 61+2 61+2 64+2 59+2 47+2 47+2 47+2 59+2
## 2 81+3 81+3 81+3 88+3 65+3 61+3 61+3 61+3 65+3 61+3 53+3 53+3 53+3 61+3
## 3 81+3 81+3 81+3 88+3 65+3 60+3 60+3 60+3 65+3 60+3 47+3 47+3 47+3 60+3
## 4
## 5 87+3 87+3 87+3 88+3 77+3 77+3 77+3 77+3 77+3 73+3 66+3 66+3 66+3 73+3
## 6 82+3 82+3 82+3 89+3 66+3 63+3 63+3 63+3 66+3 60+3 49+3 49+3 49+3 60+3
## 7 88+3 88+3 88+3 86+3 82+3 81+3 81+3 81+3 82+3 79+3 71+3 71+3 71+3 79+3
## 8 79+5 79+5 79+5 84+5 69+5 68+5 68+5 68+5 69+5 66+5 63+5 63+5 63+5 66+5
## 9 75+3 75+3 75+3 72+3 81+3 84+3 84+3 84+3 81+3 84+3 87+3 87+3 87+3 84+3
## 10
## Crossing Finishing HeadingAccuracy ShortPassing Volleys Dribbling Curve
## 1 84 95 70 90 86 97 93
## 2 84 94 89 81 87 88 81
## 3 79 87 62 84 84 96 88
## 4 17 13 21 50 13 18 21
## 5 93 82 55 92 82 86 85
## 6 81 84 61 89 80 95 83
## 7 86 72 55 93 76 90 85
## 8 77 93 77 82 88 87 86
## 9 66 60 91 78 66 63 74
## 10 13 11 15 29 13 12 13
## FKAccuracy LongPassing BallControl Acceleration SprintSpeed Agility
## 1 94 87 96 91 86 91
## 2 76 77 94 89 91 87
## 3 87 78 95 94 90 96
## 4 19 51 42 57 58 60
## 5 83 91 91 78 76 79
## 6 79 83 94 94 88 95
## 7 78 88 93 80 72 93
## 8 84 64 90 86 75 82
## 9 72 77 84 76 75 78
## 10 14 26 16 43 60 67
## Reactions Balance ShotPower Jumping Stamina Strength LongShots Aggression
## 1 95 95 85 68 72 59 94 48
## 2 96 70 95 95 88 79 93 63
## 3 94 84 80 61 81 49 82 56
## 4 90 43 31 67 43 64 12 38
## 5 91 77 91 63 90 75 91 76
## 6 90 94 82 56 83 66 80 54
## 7 90 94 79 68 89 58 82 62
## 8 92 83 86 69 90 83 85 87
## 9 85 66 79 93 84 83 59 88
## 10 86 49 22 76 41 78 12 34
## Interceptions Positioning Vision Penalties Composure Marking StandingTackle
## 1 22 94 94 75 96 33 28
## 2 29 95 82 85 95 28 31
## 3 36 89 87 81 94 27 24
## 4 30 12 68 40 68 15 21
## 5 61 87 94 79 88 68 58
## 6 41 87 89 86 91 34 27
## 7 83 79 92 82 84 60 76
## 8 41 92 84 85 85 62 45
## 9 90 60 63 75 82 87 92
## 10 19 11 70 11 70 27 12
## SlidingTackle GKDiving GKHandling GKKicking GKPositioning GKReflexes
## 1 26 6 11 15 14 8
## 2 23 7 11 15 14 11
## 3 33 9 9 15 15 11
## 4 13 90 85 87 88 94
## 5 51 15 13 5 10 13
## 6 22 11 12 6 8 8
## 7 73 13 9 7 14 9
## 8 38 27 25 31 33 37
## 9 91 11 8 9 7 11
## 10 18 86 92 78 88 89
## Release.Clause
## 1 226.5
## 2 127.1
## 3 228.1
## 4 138.6
## 5 196.4
## 6 172.1
## 7 137.4
## 8 164
## 9 104.6
## 10 144.5
tail(FIFA, 10)
## Name Age Nationality Overall Potential
## 18198 D. Holland 18 Republic of Ireland 47 61
## 18199 J. Livesey 18 England 47 70
## 18200 M. Baldisimo 18 Canada 47 69
## 18201 J. Young 18 Scotland 47 62
## 18202 D. Walsh 18 Republic of Ireland 47 68
## 18203 J. Lundstram 19 England 47 65
## 18204 N. Christoffersson 19 Sweden 47 63
## 18205 B. Worman 16 England 47 67
## 18206 D. Walker-Rice 17 England 47 66
## 18207 G. Nugent 16 England 46 66
## Club Value Wage Special Preferred.Foot
## 18198 Cork City 60 1 1362 Right
## 18199 Burton Albion 60 1 792 Right
## 18200 Vancouver Whitecaps FC 70 1 1303 Right
## 18201 Swindon Town 60 1 1203 Left
## 18202 Waterford FC 60 1 1098 Left
## 18203 Crewe Alexandra 60 1 1307 Right
## 18204 Trelleborgs FF 60 1 1098 Right
## 18205 Cambridge United 60 1 1189 Right
## 18206 Tranmere Rovers 60 1 1228 Right
## 18207 Tranmere Rovers 60 1 1321 Right
## International.Reputation Weak.Foot Skill.Moves Work.Rate Position
## 18198 1 3 2 Medium/ Medium CM
## 18199 1 2 1 Medium/ Medium GK
## 18200 1 3 2 Medium/ High CM
## 18201 1 2 2 Medium/ Medium ST
## 18202 1 3 2 Medium/ Medium RB
## 18203 1 2 2 Medium/ Medium CM
## 18204 1 2 2 Medium/ Medium ST
## 18205 1 3 2 Medium/ Medium ST
## 18206 1 3 2 Medium/ Medium RW
## 18207 1 3 2 Medium/ Medium CM
## Jersey.Number Contract.Valid.Until Height Weight LS ST RS LW
## 18198 14 2018 177.80 63.95652 45+2 45+2 45+2 49+2
## 18199 22 2021 180.34 69.85322
## 18200 65 2021 167.64 68.03886 42+2 42+2 42+2 43+2
## 18201 21 2019 175.26 71.21400 45+2 45+2 45+2 44+2
## 18202 29 2018 185.42 76.20352 32+2 32+2 32+2 29+2
## 18203 22 2019 175.26 60.78138 42+2 42+2 42+2 44+2
## 18204 21 2020 190.50 77.11070 45+2 45+2 45+2 39+2
## 18205 33 2021 172.72 67.13167 45+2 45+2 45+2 45+2
## 18206 34 2019 177.80 69.85322 47+2 47+2 47+2 47+2
## 18207 33 2019 177.80 79.83226 43+2 43+2 43+2 45+2
## LF CF RF RW LAM CAM RAM LM LCM CM RCM RM LWB LDM
## 18198 48+2 48+2 48+2 49+2 49+2 49+2 49+2 49+2 47+2 47+2 47+2 49+2 45+2 44+2
## 18199
## 18200 44+2 44+2 44+2 43+2 44+2 44+2 44+2 45+2 45+2 45+2 45+2 45+2 47+2 48+2
## 18201 45+2 45+2 45+2 44+2 44+2 44+2 44+2 41+2 37+2 37+2 37+2 41+2 31+2 28+2
## 18202 30+2 30+2 30+2 29+2 28+2 28+2 28+2 30+2 30+2 30+2 30+2 30+2 39+2 38+2
## 18203 44+2 44+2 44+2 44+2 45+2 45+2 45+2 44+2 45+2 45+2 45+2 44+2 44+2 45+2
## 18204 42+2 42+2 42+2 39+2 40+2 40+2 40+2 38+2 35+2 35+2 35+2 38+2 30+2 31+2
## 18205 46+2 46+2 46+2 45+2 44+2 44+2 44+2 44+2 38+2 38+2 38+2 44+2 34+2 30+2
## 18206 46+2 46+2 46+2 47+2 45+2 45+2 45+2 46+2 39+2 39+2 39+2 46+2 36+2 32+2
## 18207 44+2 44+2 44+2 45+2 45+2 45+2 45+2 46+2 45+2 45+2 45+2 46+2 46+2 46+2
## CDM RDM RWB LB LCB CB RCB RB Crossing Finishing
## 18198 44+2 44+2 45+2 44+2 40+2 40+2 40+2 44+2 44 44
## 18199 14 8
## 18200 48+2 48+2 47+2 47+2 48+2 48+2 48+2 47+2 31 31
## 18201 28+2 28+2 31+2 30+2 27+2 27+2 27+2 30+2 28 47
## 18202 38+2 38+2 39+2 42+2 46+2 46+2 46+2 42+2 22 23
## 18203 45+2 45+2 44+2 45+2 45+2 45+2 45+2 45+2 34 38
## 18204 31+2 31+2 30+2 29+2 32+2 32+2 32+2 29+2 23 52
## 18205 30+2 30+2 34+2 33+2 28+2 28+2 28+2 33+2 25 40
## 18206 32+2 32+2 36+2 35+2 31+2 31+2 31+2 35+2 44 50
## 18207 46+2 46+2 46+2 46+2 47+2 47+2 47+2 46+2 41 34
## HeadingAccuracy ShortPassing Volleys Dribbling Curve FKAccuracy
## 18198 36 53 43 50 48 46
## 18199 14 19 8 10 13 10
## 18200 41 51 26 46 35 31
## 18201 47 42 37 39 32 25
## 18202 45 25 27 21 21 27
## 18203 40 49 25 42 30 34
## 18204 52 43 36 39 32 20
## 18205 46 38 38 45 38 27
## 18206 39 42 40 51 34 32
## 18207 46 48 30 43 40 34
## LongPassing BallControl Acceleration SprintSpeed Agility Reactions
## 18198 52 51 68 62 58 41
## 18199 21 11 18 24 22 36
## 18200 55 47 60 63 53 46
## 18201 30 41 65 48 64 54
## 18202 27 32 52 52 39 43
## 18203 45 43 54 57 60 49
## 18204 25 40 41 39 38 40
## 18205 28 44 70 69 50 47
## 18206 32 52 61 60 52 21
## 18207 44 51 57 55 55 51
## Balance ShotPower Jumping Stamina Strength LongShots Aggression
## 18198 62 50 55 50 38 37 37
## 18199 47 26 56 20 38 5 25
## 18200 55 49 57 42 43 30 53
## 18201 80 44 77 31 31 51 26
## 18202 48 39 74 39 52 16 44
## 18203 76 43 55 40 47 38 46
## 18204 52 41 47 43 67 42 47
## 18205 58 45 60 55 32 45 32
## 18206 71 64 42 40 48 34 33
## 18207 63 43 62 47 60 32 56
## Interceptions Positioning Vision Penalties Composure Marking
## 18198 28 39 48 49 52 41
## 18199 6 5 37 14 34 15
## 18200 49 35 40 36 40 48
## 18201 16 46 37 58 50 15
## 18202 45 20 31 38 43 44
## 18203 46 39 52 43 45 40
## 18204 16 46 33 43 42 22
## 18205 15 48 43 55 41 32
## 18206 22 44 47 50 46 20
## 18207 42 34 49 33 43 40
## StandingTackle SlidingTackle GKDiving GKHandling GKKicking GKPositioning
## 18198 47 38 13 6 9 10
## 18199 11 13 46 52 58 42
## 18200 49 49 7 7 9 14
## 18201 17 14 11 15 12 12
## 18202 47 53 9 10 9 11
## 18203 48 47 10 13 7 8
## 18204 15 19 10 9 9 5
## 18205 13 11 6 5 10 6
## 18206 25 27 14 6 14 8
## 18207 43 50 10 15 9 12
## GKReflexes Release.Clause
## 18198 15 88
## 18199 48 165
## 18200 15 175
## 18201 11 143
## 18202 13 153
## 18203 9 143
## 18204 12 113
## 18205 13 165
## 18206 9 143
## 18207 9 165
str(FIFA)
## 'data.frame': 18207 obs. of 80 variables:
## $ Name : chr "L. Messi" "Cristiano Ronaldo" "Neymar Jr" "De Gea" ...
## $ Age : int 31 33 26 27 27 27 32 31 32 25 ...
## $ Nationality : Factor w/ 164 levels "Afghanistan",..: 7 124 21 141 14 14 36 159 141 138 ...
## $ Overall : int 94 94 92 91 91 91 91 91 91 90 ...
## $ Potential : int 94 94 93 93 92 91 91 91 91 93 ...
## $ Club : Factor w/ 652 levels ""," SSV Jahn Regensburg",..: 218 333 438 380 379 142 475 218 475 65 ...
## $ Value : chr "110.5" "77" "118.5" "72" ...
## $ Wage : chr "565" "405" "290" "260" ...
## $ Special : int 2202 2228 2143 1471 2281 2142 2280 2346 2201 1331 ...
## $ Preferred.Foot : Factor w/ 3 levels "","Left","Right": 2 3 3 3 3 3 3 3 3 3 ...
## $ International.Reputation: int 5 5 5 4 4 4 4 5 4 3 ...
## $ Weak.Foot : int 4 4 5 3 5 4 4 4 3 3 ...
## $ Skill.Moves : int 4 5 5 1 4 4 4 3 3 1 ...
## $ Work.Rate : Factor w/ 10 levels "","High/ High",..: 10 3 4 10 2 4 2 4 4 10 ...
## $ Position : Factor w/ 28 levels "","CAM","CB",..: 23 28 16 7 21 13 21 25 20 7 ...
## $ Jersey.Number : int 10 7 10 1 7 10 10 9 15 1 ...
## $ Contract.Valid.Until : Factor w/ 37 levels "","2018","2019",..: 5 6 6 4 7 4 4 5 4 5 ...
## $ Height : num 170 188 175 193 180 ...
## $ Weight : num 72.1 83 68 76.2 69.9 ...
## $ LS : Factor w/ 94 levels "","31+2","32+2",..: 93 94 88 1 85 87 75 92 67 1 ...
## $ ST : Factor w/ 94 levels "","31+2","32+2",..: 93 94 88 1 85 87 75 92 67 1 ...
## $ RS : Factor w/ 94 levels "","31+2","32+2",..: 93 94 88 1 85 87 75 92 67 1 ...
## $ LW : Factor w/ 106 levels "","25+2","27+2",..: 106 105 105 1 104 105 101 103 71 1 ...
## $ LF : Factor w/ 103 levels "","27+2","29+2",..: 103 102 101 1 98 100 95 99 68 1 ...
## $ CF : Factor w/ 103 levels "","27+2","29+2",..: 103 102 101 1 98 100 95 99 68 1 ...
## $ RF : Factor w/ 103 levels "","27+2","29+2",..: 103 102 101 1 98 100 95 99 68 1 ...
## $ RW : Factor w/ 106 levels "","25+2","27+2",..: 106 105 105 1 104 105 101 103 71 1 ...
## $ LAM : Factor w/ 102 levels "","27+2","28+2",..: 102 100 101 1 100 101 99 97 69 1 ...
## $ CAM : Factor w/ 102 levels "","27+2","28+2",..: 102 100 101 1 100 101 99 97 69 1 ...
## $ RAM : Factor w/ 102 levels "","27+2","28+2",..: 102 100 101 1 100 101 99 97 69 1 ...
## $ LM : Factor w/ 101 levels "","27+2","28+2",..: 101 99 99 1 99 100 98 96 70 1 ...
## $ LCM : Factor w/ 93 levels "","30+2","31+2",..: 88 83 83 1 92 85 93 79 70 1 ...
## $ CM : Factor w/ 93 levels "","30+2","31+2",..: 88 83 83 1 92 85 93 79 70 1 ...
## $ RCM : Factor w/ 93 levels "","30+2","31+2",..: 88 83 83 1 92 85 93 79 70 1 ...
## $ RM : Factor w/ 101 levels "","27+2","28+2",..: 101 99 99 1 99 100 98 96 70 1 ...
## $ LWB : Factor w/ 96 levels "","30+2","31+2",..: 55 58 58 1 83 60 93 67 91 1 ...
## $ LDM : Factor w/ 100 levels "","28+2","29+2",..: 50 51 49 1 84 55 92 66 97 1 ...
## $ CDM : Factor w/ 100 levels "","28+2","29+2",..: 50 51 49 1 84 55 92 66 97 1 ...
## $ RDM : Factor w/ 100 levels "","28+2","29+2",..: 50 51 49 1 84 55 92 66 97 1 ...
## $ RWB : Factor w/ 96 levels "","30+2","31+2",..: 55 58 58 1 83 60 93 67 91 1 ...
## $ LB : Factor w/ 99 levels "","29+2","30+2",..: 49 54 52 1 79 52 91 65 99 1 ...
## $ LCB : Factor w/ 109 levels "","25+2","27+2",..: 30 44 31 1 71 35 81 65 109 1 ...
## $ CB : Factor w/ 109 levels "","25+2","27+2",..: 30 44 31 1 71 35 81 65 109 1 ...
## $ RCB : Factor w/ 109 levels "","25+2","27+2",..: 30 44 31 1 71 35 81 65 109 1 ...
## $ RB : Factor w/ 99 levels "","29+2","30+2",..: 49 54 52 1 79 52 91 65 99 1 ...
## $ Crossing : int 84 84 79 17 93 81 86 77 66 13 ...
## $ Finishing : int 95 94 87 13 82 84 72 93 60 11 ...
## $ HeadingAccuracy : int 70 89 62 21 55 61 55 77 91 15 ...
## $ ShortPassing : int 90 81 84 50 92 89 93 82 78 29 ...
## $ Volleys : int 86 87 84 13 82 80 76 88 66 13 ...
## $ Dribbling : int 97 88 96 18 86 95 90 87 63 12 ...
## $ Curve : int 93 81 88 21 85 83 85 86 74 13 ...
## $ FKAccuracy : int 94 76 87 19 83 79 78 84 72 14 ...
## $ LongPassing : int 87 77 78 51 91 83 88 64 77 26 ...
## $ BallControl : int 96 94 95 42 91 94 93 90 84 16 ...
## $ Acceleration : int 91 89 94 57 78 94 80 86 76 43 ...
## $ SprintSpeed : int 86 91 90 58 76 88 72 75 75 60 ...
## $ Agility : int 91 87 96 60 79 95 93 82 78 67 ...
## $ Reactions : int 95 96 94 90 91 90 90 92 85 86 ...
## $ Balance : int 95 70 84 43 77 94 94 83 66 49 ...
## $ ShotPower : int 85 95 80 31 91 82 79 86 79 22 ...
## $ Jumping : int 68 95 61 67 63 56 68 69 93 76 ...
## $ Stamina : int 72 88 81 43 90 83 89 90 84 41 ...
## $ Strength : int 59 79 49 64 75 66 58 83 83 78 ...
## $ LongShots : int 94 93 82 12 91 80 82 85 59 12 ...
## $ Aggression : int 48 63 56 38 76 54 62 87 88 34 ...
## $ Interceptions : int 22 29 36 30 61 41 83 41 90 19 ...
## $ Positioning : int 94 95 89 12 87 87 79 92 60 11 ...
## $ Vision : int 94 82 87 68 94 89 92 84 63 70 ...
## $ Penalties : int 75 85 81 40 79 86 82 85 75 11 ...
## $ Composure : int 96 95 94 68 88 91 84 85 82 70 ...
## $ Marking : int 33 28 27 15 68 34 60 62 87 27 ...
## $ StandingTackle : int 28 31 24 21 58 27 76 45 92 12 ...
## $ SlidingTackle : int 26 23 33 13 51 22 73 38 91 18 ...
## $ GKDiving : int 6 7 9 90 15 11 13 27 11 86 ...
## $ GKHandling : int 11 11 9 85 13 12 9 25 8 92 ...
## $ GKKicking : int 15 15 15 87 5 6 7 31 9 78 ...
## $ GKPositioning : int 14 14 15 88 10 8 14 33 7 88 ...
## $ GKReflexes : int 8 11 11 94 13 8 9 37 11 89 ...
## $ Release.Clause : chr "226.5" "127.1" "228.1" "138.6" ...
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
FIFA_MANU <- FIFA %>%
filter(Club == "Manchester United") #Claude Sonnet helped me figure this
head(FIFA_MANU, 10)
## Name Age Nationality Overall Potential Club Value Wage
## 1 De Gea 27 Spain 91 93 Manchester United 72 260
## 2 P. Pogba 25 France 87 91 Manchester United 64 210
## 3 R. Lukaku 25 Belgium 87 89 Manchester United 62.5 230
## 4 A. Snchez 29 Chile 85 85 Manchester United 37.5 215
## 5 A. Martial 22 France 84 90 Manchester United 42.5 165
## 6 N. Mati 29 Serbia 84 84 Manchester United 24 165
## 7 Juan Mata 30 Spain 83 83 Manchester United 24.5 160
## 8 Fred 25 Brazil 82 84 Manchester United 26.5 140
## 9 J. Lingard 25 England 82 83 Manchester United 26.5 140
## 10 M. Rashford 20 England 81 89 Manchester United 27 110
## Special Preferred.Foot International.Reputation Weak.Foot Skill.Moves
## 1 1471 Right 4 3 1
## 2 2247 Right 4 4 5
## 3 2031 Left 3 3 3
## 4 2172 Right 4 3 4
## 5 2064 Right 3 3 4
## 6 2100 Left 3 3 3
## 7 1984 Left 3 3 4
## 8 2180 Left 1 4 4
## 9 2095 Right 2 3 4
## 10 2062 Right 2 4 4
## Work.Rate Position Jersey.Number Contract.Valid.Until Height Weight
## 1 Medium/ Medium GK 1 2020 193.04 76.20352
## 2 High/ Low RDM 6 2021 193.04 83.91459
## 3 Medium/ Medium ST 9 2022 190.50 93.89362
## 4 High/ High RW 7 2022 170.18 73.93556
## 5 Medium/ Medium LW 11 2019 182.88 76.20352
## 6 Medium/ High CDM 31 2020 193.04 84.82177
## 7 Medium/ Medium RM 8 2019 170.18 63.04934
## 8 High/ High CM 17 2023 170.18 63.95652
## 9 High/ High CAM 7 2021 175.26 62.14215
## 10 High/ Medium LW 11 2020 185.42 69.85322
## LS ST RS LW LF CF RF RW LAM CAM RAM LM LCM CM RCM
## 1
## 2 81+3 81+3 81+3 82+3 82+3 82+3 82+3 82+3 83+3 83+3 83+3 83+3 84+3 84+3 84+3
## 3 84+3 84+3 84+3 79+3 81+3 81+3 81+3 79+3 78+3 78+3 78+3 79+3 72+3 72+3 72+3
## 4 81+3 81+3 81+3 82+3 82+3 82+3 82+3 82+3 82+3 82+3 82+3 82+3 77+3 77+3 77+3
## 5 81+3 81+3 81+3 82+3 82+3 82+3 82+3 82+3 80+3 80+3 80+3 81+3 73+3 73+3 73+3
## 6 73+3 73+3 73+3 72+3 74+3 74+3 74+3 72+3 74+3 74+3 74+3 74+3 79+3 79+3 79+3
## 7 74+3 74+3 74+3 80+3 80+3 80+3 80+3 80+3 82+3 82+3 82+3 80+3 77+3 77+3 77+3
## 8 74+2 74+2 74+2 77+2 77+2 77+2 77+2 77+2 79+2 79+2 79+2 78+2 80+2 80+2 80+2
## 9 78+2 78+2 78+2 81+2 81+2 81+2 81+2 81+2 81+2 81+2 81+2 80+2 76+2 76+2 76+2
## 10 79+2 79+2 79+2 80+2 80+2 80+2 80+2 80+2 78+2 78+2 78+2 79+2 72+2 72+2 72+2
## RM LWB LDM CDM RDM RWB LB LCB CB RCB RB Crossing Finishing
## 1 17 13
## 2 83+3 77+3 78+3 78+3 78+3 77+3 75+3 74+3 74+3 74+3 75+3 80 73
## 3 79+3 60+3 58+3 58+3 58+3 60+3 57+3 54+3 54+3 54+3 57+3 78 87
## 4 82+3 65+3 64+3 64+3 64+3 65+3 62+3 57+3 57+3 57+3 62+3 77 80
## 5 81+3 64+3 60+3 60+3 60+3 64+3 61+3 54+3 54+3 54+3 61+3 76 84
## 6 74+3 78+3 82+3 82+3 82+3 78+3 77+3 80+3 80+3 80+3 77+3 71 64
## 7 80+3 61+3 60+3 60+3 60+3 61+3 56+3 46+3 46+3 46+3 56+3 83 78
## 8 78+2 78+2 79+2 79+2 79+2 78+2 77+2 73+2 73+2 73+2 77+2 67 74
## 9 80+2 70+2 67+2 67+2 67+2 70+2 67+2 60+2 60+2 60+2 67+2 74 78
## 10 79+2 63+2 59+2 59+2 59+2 63+2 60+2 53+2 53+2 53+2 60+2 75 78
## HeadingAccuracy ShortPassing Volleys Dribbling Curve FKAccuracy LongPassing
## 1 21 50 13 18 21 19 51
## 2 73 86 85 87 84 82 90
## 3 86 77 79 80 74 66 73
## 4 73 77 83 87 79 78 75
## 5 69 77 74 87 84 54 60
## 6 74 84 73 80 72 67 83
## 7 56 85 71 82 84 86 79
## 8 55 85 70 79 70 72 80
## 9 64 78 70 83 80 63 66
## 10 71 75 72 83 77 78 65
## BallControl Acceleration SprintSpeed Agility Reactions Balance ShotPower
## 1 42 57 58 60 90 43 31
## 2 90 71 79 74 81 64 90
## 3 72 77 90 60 86 46 88
## 4 86 86 79 90 83 87 84
## 5 86 88 89 85 81 81 84
## 6 79 52 59 44 83 50 83
## 7 88 69 62 84 85 89 75
## 8 86 77 79 84 82 87 76
## 9 83 84 82 86 83 86 80
## 10 80 90 93 88 79 77 87
## Jumping Stamina Strength LongShots Aggression Interceptions Positioning
## 1 67 43 64 12 38 30 12
## 2 83 88 89 81 78 66 81
## 3 71 84 94 74 75 27 89
## 4 87 83 72 81 79 46 84
## 5 74 75 75 80 58 42 83
## 6 67 84 85 75 80 86 69
## 7 70 71 37 72 50 39 83
## 8 83 87 61 76 73 80 69
## 9 63 87 53 80 73 53 86
## 10 68 79 71 77 70 42 81
## Vision Penalties Composure Marking StandingTackle SlidingTackle GKDiving
## 1 68 40 68 15 21 13 90
## 2 87 81 87 66 70 68 5
## 3 76 78 83 30 30 30 8
## 4 82 77 84 38 44 35 10
## 5 73 81 79 38 39 36 9
## 6 73 64 84 83 84 75 7
## 7 85 81 87 42 31 21 9
## 8 76 65 82 76 78 69 7
## 9 82 65 84 65 50 44 14
## 10 74 74 73 32 40 33 11
## GKHandling GKKicking GKPositioning GKReflexes Release.Clause
## 1 85 87 88 94 138.6
## 2 6 2 4 3 123.2
## 3 15 14 7 10 120.3
## 4 10 15 12 13 69.4
## 5 8 8 15 11 87.1
## 6 15 12 14 9 44.4
## 7 10 14 5 8 45.3
## 8 16 15 11 15 51
## 9 10 8 13 9 51
## 10 6 15 7 14 55.4
tail(FIFA_MANU, 10)
## Name Age Nationality Overall Potential Club Value Wage
## 24 L. Grant 35 England 74 74 Manchester United 1.3 39
## 25 Diogo Dalot 19 Portugal 72 84 Manchester United 4.7 26
## 26 S. McTominay 21 Scotland 71 81 Manchester United 3.8 43
## 27 A. Gomes 17 England 67 87 Manchester United 1.5 15
## 28 T. Chong 18 Netherlands 65 85 Manchester United 1.1 13
## 29 E. Hamilton 19 Scotland 65 78 Manchester United 1 11
## 30 C. Gribbin 19 England 65 80 Manchester United 1.2 11
## 31 R. Poole 20 Wales 64 75 Manchester United 675 13
## 32 R. Williams 19 England 64 79 Manchester United 875 8
## 33 J. Bohui 19 England 63 76 Manchester United 700 10
## Special Preferred.Foot International.Reputation Weak.Foot Skill.Moves
## 24 1300 Right 1 4 1
## 25 1906 Right 1 3 3
## 26 1847 Right 1 3 3
## 27 1722 Right 1 4 4
## 28 1733 Left 1 4 4
## 29 1734 Left 1 3 3
## 30 1669 Left 1 3 3
## 31 1572 Right 1 3 2
## 32 1479 Right 1 3 2
## 33 1556 Right 1 3 3
## Work.Rate Position Jersey.Number Contract.Valid.Until Height Weight
## 24 Medium/ Medium GK 13 2020 193.04 83.00740
## 25 High/ Medium RB 20 2023 182.88 71.21400
## 26 Medium/ Medium CM 17 2021 193.04 87.99692
## 27 Medium/ Medium CAM 47 2021 160.02 60.78138
## 28 High/ High RW 44 2019 182.88 69.85322
## 29 Medium/ High CM 48 2020 185.42 74.84274
## 30 Medium/ Medium CAM 42 2019 182.88 72.12119
## 31 Medium/ Medium CB 50 2019 180.34 73.93556
## 32 Medium/ Medium CB 52 2019 182.88 74.84274
## 33 High/ High ST 46 2019 175.26 74.84274
## LS ST RS LW LF CF RF RW LAM CAM RAM LM LCM CM RCM
## 24
## 25 67+2 67+2 67+2 68+2 68+2 68+2 68+2 68+2 66+2 66+2 66+2 69+2 66+2 66+2 66+2
## 26 66+2 66+2 66+2 66+2 66+2 66+2 66+2 66+2 67+2 67+2 67+2 67+2 69+2 69+2 69+2
## 27 60+2 60+2 60+2 66+2 64+2 64+2 64+2 66+2 66+2 66+2 66+2 65+2 62+2 62+2 62+2
## 28 62+2 62+2 62+2 65+2 63+2 63+2 63+2 65+2 64+2 64+2 64+2 64+2 59+2 59+2 59+2
## 29 62+2 62+2 62+2 61+2 62+2 62+2 62+2 61+2 63+2 63+2 63+2 61+2 63+2 63+2 63+2
## 30 61+2 61+2 61+2 64+2 63+2 63+2 63+2 64+2 64+2 64+2 64+2 64+2 61+2 61+2 61+2
## 31 48+2 48+2 48+2 51+2 51+2 51+2 51+2 51+2 53+2 53+2 53+2 54+2 56+2 56+2 56+2
## 32 46+2 46+2 46+2 47+2 46+2 46+2 46+2 47+2 48+2 48+2 48+2 48+2 49+2 49+2 49+2
## 33 61+2 61+2 61+2 62+2 62+2 62+2 62+2 62+2 61+2 61+2 61+2 60+2 52+2 52+2 52+2
## RM LWB LDM CDM RDM RWB LB LCB CB RCB RB Crossing Finishing
## 24 19 17
## 25 69+2 72+2 69+2 69+2 69+2 72+2 71+2 70+2 70+2 70+2 71+2 75 52
## 26 67+2 68+2 71+2 71+2 71+2 68+2 68+2 70+2 70+2 70+2 68+2 66 58
## 27 65+2 53+2 51+2 51+2 51+2 53+2 51+2 43+2 43+2 43+2 51+2 61 61
## 28 64+2 56+2 53+2 53+2 53+2 56+2 54+2 51+2 51+2 51+2 54+2 66 61
## 29 61+2 59+2 62+2 62+2 62+2 59+2 59+2 60+2 60+2 60+2 59+2 57 58
## 30 64+2 54+2 51+2 51+2 51+2 54+2 51+2 45+2 45+2 45+2 51+2 62 54
## 31 54+2 58+2 61+2 61+2 61+2 58+2 59+2 62+2 62+2 62+2 59+2 34 28
## 32 48+2 55+2 57+2 57+2 57+2 55+2 57+2 62+2 62+2 62+2 57+2 32 27
## 33 60+2 44+2 41+2 41+2 41+2 44+2 41+2 37+2 37+2 37+2 41+2 45 62
## HeadingAccuracy ShortPassing Volleys Dribbling Curve FKAccuracy LongPassing
## 24 14 43 15 11 17 19 40
## 25 65 69 44 73 75 44 58
## 26 72 75 53 65 50 34 69
## 27 51 67 57 68 65 68 65
## 28 50 62 59 68 67 60 58
## 29 64 69 52 61 54 50 64
## 30 54 66 44 69 64 72 63
## 31 60 64 25 55 40 30 62
## 32 63 58 37 51 35 36 55
## 33 51 58 48 62 48 42 35
## BallControl Acceleration SprintSpeed Agility Reactions Balance ShotPower
## 24 34 52 46 56 69 56 24
## 25 74 73 73 69 76 63 76
## 26 73 62 65 61 67 51 71
## 27 68 75 69 83 62 90 61
## 28 61 78 77 76 53 56 60
## 29 65 60 55 62 61 60 70
## 30 67 70 68 62 60 66 65
## 31 61 70 65 69 57 70 32
## 32 50 72 74 58 52 59 43
## 33 65 75 78 71 59 73 59
## Jumping Stamina Strength LongShots Aggression Interceptions Positioning
## 24 73 39 71 19 42 26 14
## 25 78 79 71 59 80 68 68
## 26 66 71 78 61 72 73 61
## 27 55 57 32 64 42 37 58
## 28 64 63 66 62 65 42 66
## 29 61 66 68 68 70 59 59
## 30 54 65 60 62 50 42 62
## 31 78 71 70 32 65 57 44
## 32 65 41 68 30 66 56 29
## 33 66 62 64 59 66 21 64
## Vision Penalties Composure Marking StandingTackle SlidingTackle GKDiving
## 24 50 20 60 12 13 19 74
## 25 54 43 73 72 68 67 10
## 26 71 59 74 68 69 64 9
## 27 68 66 69 36 38 35 14
## 28 65 44 60 43 46 42 13
## 29 63 51 54 57 54 53 7
## 30 64 56 58 22 35 40 7
## 31 47 37 55 61 64 61 16
## 32 43 49 51 63 68 66 7
## 33 57 64 57 20 16 16 9
## GKHandling GKKicking GKPositioning GKReflexes Release.Clause
## 24 72 74 74 76 2.5
## 25 6 10 6 8 9.6
## 26 6 6 10 11 7.8
## 27 15 14 6 14 4.3
## 28 7 14 8 11 3.2
## 29 11 5 9 11 2.5
## 30 11 12 7 14 2.9
## 31 15 13 7 12 1.4
## 32 5 6 6 9 2.2
## 33 7 10 13 11 1.7
str(FIFA_MANU)
## 'data.frame': 33 obs. of 80 variables:
## $ Name : chr "De Gea" "P. Pogba" "R. Lukaku" "A. Snchez" ...
## $ Age : int 27 25 25 29 22 29 30 25 25 20 ...
## $ Nationality : Factor w/ 164 levels "Afghanistan",..: 141 55 14 30 55 135 141 21 47 47 ...
## $ Overall : int 91 87 87 85 84 84 83 82 82 81 ...
## $ Potential : int 93 91 89 85 90 84 83 84 83 89 ...
## $ Club : Factor w/ 652 levels ""," SSV Jahn Regensburg",..: 380 380 380 380 380 380 380 380 380 380 ...
## $ Value : chr "72" "64" "62.5" "37.5" ...
## $ Wage : chr "260" "210" "230" "215" ...
## $ Special : int 1471 2247 2031 2172 2064 2100 1984 2180 2095 2062 ...
## $ Preferred.Foot : Factor w/ 3 levels "","Left","Right": 3 3 2 3 3 2 2 2 3 3 ...
## $ International.Reputation: int 4 4 3 4 3 3 3 1 2 2 ...
## $ Weak.Foot : int 3 4 3 3 3 3 3 4 3 4 ...
## $ Skill.Moves : int 1 5 3 4 4 3 4 4 4 4 ...
## $ Work.Rate : Factor w/ 10 levels "","High/ High",..: 10 3 10 2 10 8 10 2 2 4 ...
## $ Position : Factor w/ 28 levels "","CAM","CB",..: 7 22 28 26 16 4 24 6 2 16 ...
## $ Jersey.Number : int 1 6 9 7 11 31 8 17 7 11 ...
## $ Contract.Valid.Until : Factor w/ 37 levels "","2018","2019",..: 4 5 6 6 3 4 3 7 5 4 ...
## $ Height : num 193 193 190 170 183 ...
## $ Weight : num 76.2 83.9 93.9 73.9 76.2 ...
## $ LS : Factor w/ 94 levels "","31+2","32+2",..: 1 83 88 83 83 67 69 68 76 78 ...
## $ ST : Factor w/ 94 levels "","31+2","32+2",..: 1 83 88 83 83 67 69 68 76 78 ...
## $ RS : Factor w/ 94 levels "","31+2","32+2",..: 1 83 88 83 83 67 69 68 76 78 ...
## $ LW : Factor w/ 106 levels "","25+2","27+2",..: 1 96 90 96 96 75 92 84 93 91 ...
## $ LF : Factor w/ 103 levels "","27+2","29+2",..: 1 91 89 91 91 74 86 79 88 85 ...
## $ CF : Factor w/ 103 levels "","27+2","29+2",..: 1 91 89 91 91 74 86 79 88 85 ...
## $ RF : Factor w/ 103 levels "","27+2","29+2",..: 1 91 89 91 91 74 86 79 88 85 ...
## $ RW : Factor w/ 106 levels "","25+2","27+2",..: 1 96 90 96 96 75 92 84 93 91 ...
## $ LAM : Factor w/ 102 levels "","27+2","28+2",..: 1 93 83 92 88 75 92 84 89 82 ...
## $ CAM : Factor w/ 102 levels "","27+2","28+2",..: 1 93 83 92 88 75 92 84 89 82 ...
## $ RAM : Factor w/ 102 levels "","27+2","28+2",..: 1 93 83 92 88 75 92 84 89 82 ...
## $ LM : Factor w/ 101 levels "","27+2","28+2",..: 1 93 85 91 89 74 87 82 86 84 ...
## $ LCM : Factor w/ 93 levels "","30+2","31+2",..: 1 89 63 74 65 78 74 80 71 62 ...
## $ CM : Factor w/ 93 levels "","30+2","31+2",..: 1 89 63 74 65 78 74 80 71 62 ...
## $ RCM : Factor w/ 93 levels "","30+2","31+2",..: 1 89 63 74 65 78 74 80 71 62 ...
## $ RM : Factor w/ 101 levels "","27+2","28+2",..: 1 93 85 91 89 74 87 82 86 84 ...
## $ LWB : Factor w/ 96 levels "","30+2","31+2",..: 1 83 48 58 56 85 50 84 68 53 ...
## $ LDM : Factor w/ 100 levels "","28+2","29+2",..: 1 86 45 57 49 94 49 87 62 46 ...
## $ CDM : Factor w/ 100 levels "","28+2","29+2",..: 1 86 45 57 49 94 49 87 62 46 ...
## $ RDM : Factor w/ 100 levels "","28+2","29+2",..: 1 86 45 57 49 94 49 87 62 46 ...
## $ RWB : Factor w/ 96 levels "","30+2","31+2",..: 1 83 48 58 56 85 50 84 68 53 ...
## $ LB : Factor w/ 99 levels "","29+2","30+2",..: 1 83 46 56 54 87 44 86 66 51 ...
## $ LCB : Factor w/ 109 levels "","25+2","27+2",..: 1 87 46 52 46 99 29 84 57 43 ...
## $ CB : Factor w/ 109 levels "","25+2","27+2",..: 1 87 46 52 46 99 29 84 57 43 ...
## $ RCB : Factor w/ 109 levels "","25+2","27+2",..: 1 87 46 52 46 99 29 84 57 43 ...
## $ RB : Factor w/ 99 levels "","29+2","30+2",..: 1 83 46 56 54 87 44 86 66 51 ...
## $ Crossing : int 17 80 78 77 76 71 83 67 74 75 ...
## $ Finishing : int 13 73 87 80 84 64 78 74 78 78 ...
## $ HeadingAccuracy : int 21 73 86 73 69 74 56 55 64 71 ...
## $ ShortPassing : int 50 86 77 77 77 84 85 85 78 75 ...
## $ Volleys : int 13 85 79 83 74 73 71 70 70 72 ...
## $ Dribbling : int 18 87 80 87 87 80 82 79 83 83 ...
## $ Curve : int 21 84 74 79 84 72 84 70 80 77 ...
## $ FKAccuracy : int 19 82 66 78 54 67 86 72 63 78 ...
## $ LongPassing : int 51 90 73 75 60 83 79 80 66 65 ...
## $ BallControl : int 42 90 72 86 86 79 88 86 83 80 ...
## $ Acceleration : int 57 71 77 86 88 52 69 77 84 90 ...
## $ SprintSpeed : int 58 79 90 79 89 59 62 79 82 93 ...
## $ Agility : int 60 74 60 90 85 44 84 84 86 88 ...
## $ Reactions : int 90 81 86 83 81 83 85 82 83 79 ...
## $ Balance : int 43 64 46 87 81 50 89 87 86 77 ...
## $ ShotPower : int 31 90 88 84 84 83 75 76 80 87 ...
## $ Jumping : int 67 83 71 87 74 67 70 83 63 68 ...
## $ Stamina : int 43 88 84 83 75 84 71 87 87 79 ...
## $ Strength : int 64 89 94 72 75 85 37 61 53 71 ...
## $ LongShots : int 12 81 74 81 80 75 72 76 80 77 ...
## $ Aggression : int 38 78 75 79 58 80 50 73 73 70 ...
## $ Interceptions : int 30 66 27 46 42 86 39 80 53 42 ...
## $ Positioning : int 12 81 89 84 83 69 83 69 86 81 ...
## $ Vision : int 68 87 76 82 73 73 85 76 82 74 ...
## $ Penalties : int 40 81 78 77 81 64 81 65 65 74 ...
## $ Composure : int 68 87 83 84 79 84 87 82 84 73 ...
## $ Marking : int 15 66 30 38 38 83 42 76 65 32 ...
## $ StandingTackle : int 21 70 30 44 39 84 31 78 50 40 ...
## $ SlidingTackle : int 13 68 30 35 36 75 21 69 44 33 ...
## $ GKDiving : int 90 5 8 10 9 7 9 7 14 11 ...
## $ GKHandling : int 85 6 15 10 8 15 10 16 10 6 ...
## $ GKKicking : int 87 2 14 15 8 12 14 15 8 15 ...
## $ GKPositioning : int 88 4 7 12 15 14 5 11 13 7 ...
## $ GKReflexes : int 94 3 10 13 11 9 8 15 9 14 ...
## $ Release.Clause : chr "138.6" "123.2" "120.3" "69.4" ...
summary(FIFA_MANU$Penalties)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 16.00 49.00 59.00 57.85 66.00 81.00
summary(FIFA_MANU$Agility)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 44.00 60.00 69.00 69.21 78.00 90.00
table(FIFA_MANU$Preferred.Foot)
##
## Left Right
## 0 9 24
#Chart 1;Basic Scatterplot
library(ggplot2)
library(tibble)
library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ forcats 1.0.0 ✔ readr 2.1.5
## ✔ lubridate 1.9.4 ✔ stringr 1.5.1
## ✔ purrr 1.1.0 ✔ tidyr 1.3.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
p <- ggplot(data = FIFA_MANU,
mapping = aes(x = Penalties,
y = Agility, color= Preferred.Foot))+ geom_point(size=3)
p
#Chart 2:
p2<- ggplot(data=FIFA_MANU,mapping = aes(x=Penalties,y=Agility, color=Preferred.Foot))+geom_point()+geom_smooth(method = "loess")+scale_x_log10()
p2
## `geom_smooth()` using formula = 'y ~ x'
#Chart 3
p3<- ggplot(data=FIFA_MANU,mapping = aes(x=Penalties,y=Agility, color=Preferred.Foot))+geom_area()
p3
#Final Chart
finalchart<-ggplot(data=FIFA_MANU,mapping = aes(x=Penalties,y=Agility, color=Preferred.Foot))+geom_point(size=3, alpha=0.7) + labs(x= "Penalty rating",y = "Agility Rating", title = "Penalties and Agility and Primary Foot for Manchester",subtitle = "Players who have high Agility also score high in penalties", color = "Preferred Foot", caption = "Source: FIFA Dataset (datasetsICR package)")+ theme_minimal()
finalchart
#Chart explanation - Agility and Penalty increase together.
-As Penalties increase, so does the rate of Lefties.
- Most players on Manchester United are high in both agility and
penalty.