Data_Dive_Summaries
Rohan Royal
04/09/2023
Data Documentation
The data we are gonna use if of the NBA Player from the season 1996 to 2021.The data set contains over two decades of data on each player who has been part of an NBA teams’ roster. It captures demographic variables such as age, height, weight and place of birth, biographical details like the team played for, draft year and round. In addition, it has basic box score statistics such as games played, average number of points, rebounds, assists, etc.
Analysis Ideas The data set can be used to explore how age/height/weight tendencies have changed over time due to changes in game philosophy and player development strategies. Also, it could be interesting to see how geographically diverse the NBA is and how oversees talents have influenced it. A longitudinal study on players’ career arches can also be performed.
df<-read.csv('C:/Users/rohan/OneDrive/Desktop/INTRO TO STATISTICS IN R/DATA SETS/Datasets/Data/Nba_all_seasons_1996_2021.csv')Summary of continuous data
summary(df[,c(4,5,6,12,13,14,15,16,17,18,19,20,21)])## age player_height player_weight gp
## Min. :18.00 Min. :160.0 Min. : 60.33 Min. : 1.00
## 1st Qu.:24.00 1st Qu.:193.0 1st Qu.: 90.72 1st Qu.:31.00
## Median :26.00 Median :200.7 Median : 99.79 Median :57.00
## Mean :27.08 Mean :200.6 Mean :100.37 Mean :51.29
## 3rd Qu.:30.00 3rd Qu.:208.3 3rd Qu.:108.86 3rd Qu.:73.00
## Max. :44.00 Max. :231.1 Max. :163.29 Max. :85.00
## pts reb ast net_rating
## Min. : 0.000 Min. : 0.000 Min. : 0.000 Min. :-250.000
## 1st Qu.: 3.600 1st Qu.: 1.800 1st Qu.: 0.600 1st Qu.: -6.400
## Median : 6.700 Median : 3.000 Median : 1.200 Median : -1.300
## Mean : 8.173 Mean : 3.559 Mean : 1.814 Mean : -2.256
## 3rd Qu.:11.500 3rd Qu.: 4.700 3rd Qu.: 2.400 3rd Qu.: 3.200
## Max. :36.100 Max. :16.300 Max. :11.700 Max. : 300.000
## oreb_pct dreb_pct usg_pct ts_pct
## Min. :0.00000 Min. :0.000 Min. :0.0000 Min. :0.0000
## 1st Qu.:0.02100 1st Qu.:0.096 1st Qu.:0.1490 1st Qu.:0.4800
## Median :0.04100 Median :0.131 Median :0.1810 Median :0.5240
## Mean :0.05447 Mean :0.141 Mean :0.1849 Mean :0.5111
## 3rd Qu.:0.08400 3rd Qu.:0.180 3rd Qu.:0.2170 3rd Qu.:0.5610
## Max. :1.00000 Max. :1.000 Max. :1.0000 Max. :1.5000
## ast_pct
## Min. :0.0000
## 1st Qu.:0.0660
## Median :0.1030
## Mean :0.1314
## 3rd Qu.:0.1780
## Max. :1.0000Sumary of categorical data
You can also embed plots, for example:
library(dplyr)## Warning: package 'dplyr' was built under R version 4.1.3##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unioncount(df, 'team_abbreviation')## "team_abbreviation" n
## 1 team_abbreviation 12305count(df, 'college')## "college" n
## 1 college 12305count(df, 'country')## "country" n
## 1 country 12305count(df, 'drat_year')## "drat_year" n
## 1 drat_year 12305count(df, 'player_name')## "player_name" n
## 1 player_name 12305n_distinct(df$team_abbreviation)## [1] 36n_distinct(df$college)## [1] 347n_distinct(df$country)## [1] 82n_distinct(df$season)## [1] 265 Novel Questions
Question 1) What is a player’s maximum age? Answer: From the summary we can see player’s maximum age is 44.
Question 2) What is a palyer’s minimum age? Answer: From the summary we can see that the player’s minimum age is 18.
Question 3) Most players represent which country? Answer:
Question 4) Which player has the maximum rebounds in the 2020-2021 season? Answer:
Question 5) Which player has the minimum assists in the 2020-2021 season? Answer:
Aggregations
Average rebounds by teams
Average_Rebouds_per_team <- aggregate(df$reb, list(df$team_abbreviation), FUN=mean)
Average_Rebouds_per_team <- Average_Rebouds_per_team[order(Average_Rebouds_per_team$x, decreasing = TRUE), ]
print(Average_Rebouds_per_team)## Group.1 x
## 11 GSW 3.775550
## 15 LAL 3.766667
## 23 NOP 3.725786
## 22 NOK 3.718750
## 12 HOU 3.669856
## 30 SAC 3.669598
## 9 DEN 3.652913
## 24 NYK 3.631951
## 6 CHI 3.630542
## 18 MIL 3.629584
## 25 OKC 3.605439
## 19 MIN 3.603759
## 13 IND 3.588780
## 28 PHX 3.584712
## 17 MIA 3.573709
## 29 POR 3.571253
## 27 PHI 3.550000
## 20 NJN 3.540856
## 7 CLE 3.540416
## 14 LAC 3.533019
## 2 BKN 3.530556
## 4 CHA 3.519097
## 3 BOS 3.517690
## 5 CHH 3.512360
## 21 NOH 3.511189
## 36 WAS 3.509716
## 26 ORL 3.504380
## 8 DAL 3.483649
## 1 ATL 3.472922
## 33 TOR 3.460748
## 34 UTA 3.447607
## 35 VAN 3.443056
## 10 DET 3.431750
## 31 SAS 3.420339
## 16 MEM 3.395170
## 32 SEA 3.341758aggregate(df$team_abbreviation, list(df$country,df$team_abbreviation), FUN = length)## Group.1 Group.2 x
## 1 Angola ATL 2
## 2 Argentina ATL 1
## 3 Australia ATL 1
## 4 Brazil ATL 1
## 5 Cabo Verde ATL 1
## 6 Congo ATL 4
## 7 Croatia ATL 2
## 8 Dominican Republic ATL 9
## 9 Finland ATL 2
## 10 France ATL 5
## 11 Georgia ATL 8
## 12 Germany ATL 5
## 13 Haiti ATL 1
## 14 Italy ATL 2
## 15 Macedonia ATL 2
## 16 Mexico ATL 1
## 17 Nigeria ATL 1
## 18 Senegal ATL 2
## 19 Serbia ATL 3
## 20 Spain ATL 1
## 21 Switzerland ATL 6
## 22 Turkey ATL 1
## 23 Ukraine ATL 2
## 24 Uruguay ATL 2
## 25 USA ATL 354
## 26 Yugoslavia ATL 2
## 27 Argentina BKN 1
## 28 Australia BKN 4
## 29 Bosnia BKN 3
## 30 Bosnia and Herzegovina BKN 2
## 31 Canada BKN 3
## 32 Croatia BKN 2
## 33 France BKN 2
## 34 Georgia BKN 1
## 35 Italy BKN 1
## 36 Jamaica BKN 1
## 37 Japan BKN 1
## 38 Latvia BKN 2
## 39 Mexico BKN 1
## 40 Russia BKN 5
## 41 Slovenia BKN 1
## 42 USA BKN 149
## 43 Venezuela BKN 1
## 44 Argentina BOS 1
## 45 Australia BOS 4
## 46 Belize BOS 1
## 47 Brazil BOS 3
## 48 Canada BOS 8
## 49 Croatia BOS 1
## 50 Czech Republic BOS 1
## 51 Dominican Republic BOS 5
## 52 Egypt BOS 1
## 53 France BOS 6
## 54 Germany BOS 4
## 55 Italy BOS 1
## 56 Montenegro BOS 2
## 57 Nigeria BOS 2
## 58 Puerto Rico BOS 1
## 59 Senegal BOS 2
## 60 Serbia BOS 1
## 61 Serbia and Montenegro BOS 1
## 62 Sweden BOS 3
## 63 Turkey BOS 2
## 64 Ukraine BOS 4
## 65 USA BOS 353
## 66 Australia CHA 1
## 67 Bahamas CHA 1
## 68 Canada CHA 1
## 69 Democratic Republic of the Congo CHA 5
## 70 DRC CHA 2
## 71 France CHA 11
## 72 Italy CHA 1
## 73 Jamaica CHA 2
## 74 Lithuania CHA 1
## 75 Mexico CHA 3
## 76 Senegal CHA 5
## 77 Serbia CHA 1
## 78 Slovenia CHA 3
## 79 Spain CHA 3
## 80 Sweden CHA 3
## 81 U.S. Virgin Islands CHA 1
## 82 USA CHA 244
## 83 Canada CHH 2
## 84 France CHH 1
## 85 Serbia and Montenegro CHH 2
## 86 USA CHH 84
## 87 Argentina CHI 4
## 88 Australia CHI 1
## 89 Brazil CHI 6
## 90 Canada CHI 1
## 91 Croatia CHI 6
## 92 Czech Republic CHI 2
## 93 Finland CHI 4
## 94 France CHI 4
## 95 Georgia CHI 1
## 96 Germany CHI 3
## 97 Italy CHI 1
## 98 Lithuania CHI 1
## 99 Montenegro CHI 6
## 100 Russia CHI 2
## 101 Serbia CHI 1
## 102 Spain CHI 2
## 103 Switzerland CHI 2
## 104 Turkey CHI 3
## 105 United Kingdom CHI 9
## 106 USA CHI 347
## 107 Australia CLE 14
## 108 Belize CLE 1
## 109 Brazil CLE 12
## 110 Cabo Verde CLE 1
## 111 Canada CLE 13
## 112 Congo CLE 1
## 113 Croatia CLE 3
## 114 Czech Republic CLE 1
## 115 Finland CLE 1
## 116 France CLE 1
## 117 Germany CLE 1
## 118 Israel CLE 2
## 119 Jamaica CLE 3
## 120 Lithuania CLE 13
## 121 Montenegro CLE 5
## 122 Russia CLE 4
## 123 Senegal CLE 5
## 124 South Sudan CLE 2
## 125 Spain CLE 1
## 126 Turkey CLE 7
## 127 Ukraine CLE 2
## 128 United Kingdom CLE 1
## 129 USA CLE 339
## 130 Argentina DAL 1
## 131 Australia DAL 3
## 132 Canada DAL 15
## 133 China DAL 2
## 134 Croatia DAL 2
## 135 Democratic Republic of the Congo DAL 3
## 136 England DAL 1
## 137 France DAL 9
## 138 Georgia DAL 1
## 139 Germany DAL 26
## 140 Ghana DAL 1
## 141 Greece DAL 1
## 142 Haiti DAL 1
## 143 Israel DAL 2
## 144 Italy DAL 1
## 145 Latvia DAL 3
## 146 Mexico DAL 5
## 147 Nigeria DAL 2
## 148 Puerto Rico DAL 12
## 149 Russia DAL 2
## 150 Senegal DAL 2
## 151 Serbia DAL 3
## 152 Serbia and Montenegro DAL 1
## 153 Slovenia DAL 4
## 154 Spain DAL 1
## 155 Tunisia DAL 4
## 156 U.S. Virgin Islands DAL 1
## 157 USA DAL 313
## 158 Argentina DEN 2
## 159 Bosnia & Herzegovina DEN 2
## 160 Brazil DEN 9
## 161 Canada DEN 5
## 162 China DEN 1
## 163 Czech Republic DEN 1
## 164 Democratic Republic of the Congo DEN 2
## 165 France DEN 10
## 166 Georgia DEN 2
## 167 Greece DEN 1
## 168 Italy DEN 6
## 169 Lithuania DEN 4
## 170 Mexico DEN 4
## 171 Netherlands DEN 3
## 172 Panama DEN 1
## 173 Puerto Rico DEN 1
## 174 Russia DEN 4
## 175 Serbia DEN 7
## 176 Slovenia DEN 3
## 177 Spain DEN 4
## 178 Sudan DEN 2
## 179 Trinidad and Tobago DEN 1
## 180 USA DEN 336
## 181 Yugoslavia DEN 1
## 182 Argentina DET 4
## 183 Australia DET 3
## 184 Canada DET 5
## 185 Dominican Republic DET 1
## 186 France DET 4
## 187 Georgia DET 1
## 188 Italy DET 1
## 189 Lithuania DET 2
## 190 Mali DET 1
## 191 Puerto Rico DET 1
## 192 Serbia DET 3
## 193 Slovenia DET 1
## 194 South Sudan DET 2
## 195 Spain DET 2
## 196 Sweden DET 4
## 197 Turkey DET 2
## 198 Ukraine DET 3
## 199 USA DET 357
## 200 Yugoslavia DET 3
## 201 Australia GSW 5
## 202 Bosnia GSW 2
## 203 Brazil GSW 4
## 204 Canada GSW 6
## 205 Croatia GSW 1
## 206 Czech Republic GSW 1
## 207 DRC GSW 1
## 208 England GSW 4
## 209 France GSW 7
## 210 Georgia GSW 3
## 211 Israel GSW 1
## 212 Italy GSW 3
## 213 Latvia GSW 9
## 214 Nigeria GSW 3
## 215 Serbia GSW 6
## 216 Serbia and Montenegro GSW 2
## 217 St. Vincent & Grenadines GSW 10
## 218 Sweden GSW 1
## 219 U.S. Virgin Islands GSW 1
## 220 USA GSW 337
## 221 USSR GSW 1
## 222 Venezuela GSW 1
## 223 Angola HOU 1
## 224 Argentina HOU 7
## 225 Australia HOU 1
## 226 Brazil HOU 5
## 227 Cameroon HOU 2
## 228 Canada HOU 2
## 229 China HOU 10
## 230 Congo HOU 5
## 231 Dominican Republic HOU 3
## 232 France HOU 1
## 233 Germany HOU 4
## 234 Greece HOU 2
## 235 Haiti HOU 1
## 236 Israel HOU 1
## 237 Lithuania HOU 4
## 238 Nigeria HOU 5
## 239 Poland HOU 1
## 240 Slovenia HOU 4
## 241 Spain HOU 1
## 242 Switzerland HOU 6
## 243 Tanzania HOU 1
## 244 Turkey HOU 3
## 245 USA HOU 347
## 246 Venezuela HOU 1
## 247 Argentina IND 2
## 248 Bahamas IND 1
## 249 Brazil IND 1
## 250 Canada IND 5
## 251 Croatia IND 5
## 252 Dominican Republic IND 1
## 253 France IND 5
## 254 Georgia IND 3
## 255 Germany IND 1
## 256 Lithuania IND 4
## 257 Serbia and Montenegro IND 1
## 258 Slovenia IND 4
## 259 Spain IND 1
## 260 Ukraine IND 1
## 261 USA IND 374
## 262 USSR IND 1
## 263 Argentina LAC 1
## 264 Cameroon LAC 3
## 265 Canada LAC 2
## 266 China LAC 1
## 267 Croatia LAC 4
## 268 Dominican Republic LAC 1
## 269 France LAC 3
## 270 Germany LAC 1
## 271 Italy LAC 2
## 272 Nigeria LAC 6
## 273 Poland LAC 1
## 274 Republic of the Congo LAC 1
## 275 Russia LAC 2
## 276 Senegal LAC 2
## 277 Serbia LAC 7
## 278 Slovenia LAC 1
## 279 Turkey LAC 2
## 280 USA LAC 381
## 281 Yugoslavia LAC 3
## 282 Australia LAL 1
## 283 Brazil LAL 2
## 284 Canada LAL 15
## 285 Congo LAL 1
## 286 Croatia LAL 2
## 287 Democratic Republic of the Congo LAL 3
## 288 France LAL 4
## 289 Germany LAL 4
## 290 Greece LAL 2
## 291 Mali LAL 1
## 292 Russia LAL 1
## 293 Serbia LAL 2
## 294 Serbia and Montenegro LAL 1
## 295 Slovenia LAL 6
## 296 South Sudan LAL 1
## 297 Spain LAL 8
## 298 Ukraine LAL 6
## 299 United Kingdom LAL 2
## 300 USA LAL 349
## 301 Brazil MEM 1
## 302 Canada MEM 8
## 303 France MEM 3
## 304 Greece MEM 4
## 305 Iran MEM 4
## 306 Israel MEM 1
## 307 Jamaica MEM 1
## 308 Japan MEM 2
## 309 Lithuania MEM 3
## 310 New Zealand MEM 1
## 311 Poland MEM 1
## 312 Scotland MEM 1
## 313 Senegal MEM 1
## 314 Serbia MEM 4
## 315 Slovenia MEM 3
## 316 Spain MEM 18
## 317 Tanzania MEM 1
## 318 USA MEM 294
## 319 Venezuela MEM 1
## 320 Canada MIA 14
## 321 China MIA 2
## 322 France MIA 1
## 323 Gabon MIA 3
## 324 Georgia MIA 2
## 325 Lithuania MIA 1
## 326 New Zealand MIA 2
## 327 Nigeria MIA 1
## 328 Puerto Rico MIA 1
## 329 Serbia MIA 1
## 330 Slovenia MIA 8
## 331 Turkey MIA 1
## 332 United Kingdom MIA 2
## 333 USA MIA 387
## 334 Argentina MIL 3
## 335 Australia MIL 9
## 336 Bosnia MIL 1
## 337 Bosnia and Herzegovina MIL 1
## 338 Cameroon MIL 5
## 339 Canada MIL 4
## 340 Croatia MIL 4
## 341 Czech Republic MIL 1
## 342 France MIL 2
## 343 Georgia MIL 4
## 344 Greece MIL 12
## 345 Guinea MIL 1
## 346 Haiti MIL 1
## 347 Latvia MIL 1
## 348 Mexico MIL 2
## 349 Montenegro MIL 1
## 350 Netherlands MIL 9
## 351 Puerto Rico MIL 2
## 352 Republic of the Congo MIL 1
## 353 Serbia MIL 1
## 354 Slovenia MIL 2
## 355 South Sudan MIL 2
## 356 Spain MIL 1
## 357 Turkey MIL 9
## 358 USA MIL 329
## 359 Venezuela MIL 1
## 360 Argentina MIN 1
## 361 Australia MIN 2
## 362 Cameroon MIN 1
## 363 Canada MIN 6
## 364 Croatia MIN 2
## 365 Dominican Republic MIN 2
## 366 France MIN 2
## 367 Israel MIN 1
## 368 Montenegro MIN 7
## 369 Nigeria MIN 6
## 370 Puerto Rico MIN 3
## 371 Russia MIN 3
## 372 Senegal MIN 6
## 373 Serbia MIN 10
## 374 Serbia and Montenegro MIN 1
## 375 Slovenia MIN 5
## 376 Spain MIN 9
## 377 Ukraine MIN 1
## 378 United Kingdom MIN 1
## 379 USA MIN 330
## 380 Canada NJN 1
## 381 Congo NJN 1
## 382 Croatia NJN 3
## 383 France NJN 2
## 384 Georgia NJN 1
## 385 Mali NJN 1
## 386 Mexico NJN 1
## 387 Netherlands NJN 1
## 388 Senegal NJN 1
## 389 Serbia and Montenegro NJN 4
## 390 Slovenia NJN 4
## 391 Turkey NJN 1
## 392 USA NJN 236
## 393 Canada NOH 3
## 394 Democratic Republic of the Congo NOH 1
## 395 France NOH 1
## 396 Italy NOH 2
## 397 Lithuania NOH 1
## 398 Mexico NOH 1
## 399 New Zealand NOH 2
## 400 Poland NOH 1
## 401 Serbia and Montenegro NOH 3
## 402 Slovenia NOH 1
## 403 USA NOH 125
## 404 Venezuela NOH 2
## 405 Lithuania NOK 1
## 406 Serbia and Montenegro NOK 1
## 407 USA NOK 30
## 408 Australia NOP 1
## 409 Brazil NOP 1
## 410 Canada NOP 2
## 411 France NOP 5
## 412 Italy NOP 1
## 413 Latvia NOP 1
## 414 Lithuania NOP 2
## 415 Mali NOP 3
## 416 Montenegro NOP 1
## 417 New Zealand NOP 1
## 418 South Sudan NOP 1
## 419 Spain NOP 2
## 420 Turkey NOP 3
## 421 USA NOP 135
## 422 Argentina NYK 2
## 423 Canada NYK 5
## 424 Congo NYK 1
## 425 Croatia NYK 3
## 426 Democratic Republic of the Congo NYK 2
## 427 France NYK 7
## 428 Greece NYK 1
## 429 Haiti NYK 1
## 430 Italy NYK 4
## 431 Jamaica NYK 5
## 432 Latvia NYK 3
## 433 Lithuania NYK 2
## 434 Netherlands NYK 1
## 435 Poland NYK 1
## 436 Russia NYK 1
## 437 Senegal NYK 2
## 438 Slovenia NYK 2
## 439 Spain NYK 4
## 440 Turkey NYK 1
## 441 USA NYK 362
## 442 Argentina OKC 2
## 443 Australia OKC 1
## 444 Canada OKC 6
## 445 Czech Republic OKC 1
## 446 Democratic Republic of the Congo OKC 7
## 447 Egypt OKC 2
## 448 France OKC 5
## 449 Germany OKC 2
## 450 Greece OKC 1
## 451 Guinea OKC 1
## 452 Italy OKC 1
## 453 Lithuania OKC 1
## 454 New Zealand OKC 7
## 455 Serbia OKC 2
## 456 Serbia and Montenegro OKC 2
## 457 Spain OKC 3
## 458 Switzerland OKC 6
## 459 Tanzania OKC 2
## 460 Turkey OKC 3
## 461 Ukraine OKC 1
## 462 USA OKC 183
## 463 Argentina ORL 1
## 464 Canada ORL 9
## 465 Croatia ORL 7
## 466 Democratic Republic of the Congo ORL 2
## 467 England ORL 2
## 468 France ORL 8
## 469 Georgia ORL 1
## 470 Germany ORL 3
## 471 Ireland ORL 1
## 472 Jamaica ORL 1
## 473 Montenegro ORL 8
## 474 Nigeria ORL 1
## 475 Poland ORL 3
## 476 Puerto Rico ORL 3
## 477 Senegal ORL 1
## 478 Serbia ORL 2
## 479 Slovenia ORL 1
## 480 St. Vincent & Grenadines ORL 2
## 481 Sudan ORL 1
## 482 Turkey ORL 9
## 483 United Kingdom ORL 1
## 484 USA ORL 344
## 485 Argentina PHI 3
## 486 Australia PHI 6
## 487 Brazil PHI 2
## 488 Cameroon PHI 7
## 489 Canada PHI 6
## 490 Congo PHI 2
## 491 Croatia PHI 3
## 492 Dominican Republic PHI 1
## 493 France PHI 3
## 494 Greece PHI 1
## 495 Haiti PHI 8
## 496 Italy PHI 1
## 497 Lithuania PHI 1
## 498 Montenegro PHI 1
## 499 Netherlands PHI 2
## 500 Nigeria PHI 1
## 501 Serbia PHI 1
## 502 Spain PHI 1
## 503 Sudan (UK) PHI 1
## 504 Turkey PHI 7
## 505 U.S. Virgin Islands PHI 2
## 506 USA PHI 360
## 507 Argentina PHX 1
## 508 Australia PHX 2
## 509 Bahamas PHX 4
## 510 Belize PHX 1
## 511 Bosnia PHX 1
## 512 Brazil PHX 9
## 513 Canada PHX 10
## 514 Croatia PHX 6
## 515 Denmark PHX 1
## 516 DRC PHX 1
## 517 Egypt PHX 2
## 518 France PHX 6
## 519 Georgia PHX 1
## 520 Greece PHX 3
## 521 Iran PHX 1
## 522 Ireland PHX 2
## 523 Mali PHX 1
## 524 New Zealand PHX 2
## 525 Poland PHX 4
## 526 Puerto Rico PHX 2
## 527 Serbia and Montenegro PHX 1
## 528 Slovenia PHX 6
## 529 Spain PHX 1
## 530 U.S. Virgin Islands PHX 3
## 531 Ukraine PHX 6
## 532 USA PHX 322
## 533 Argentina POR 1
## 534 Australia POR 3
## 535 Bosnia & Herzegovina POR 1
## 536 Bosnia and Herzegovina POR 5
## 537 Brazil POR 1
## 538 Canada POR 1
## 539 Croatia POR 1
## 540 Dominican Republic POR 1
## 541 France POR 8
## 542 Georgia POR 1
## 543 Great Britain POR 3
## 544 Greece POR 1
## 545 Haiti POR 1
## 546 Lithuania POR 6
## 547 Montenegro POR 1
## 548 New Zealand POR 1
## 549 Russia POR 2
## 550 South Korea POR 2
## 551 South Sudan POR 1
## 552 Spain POR 9
## 553 Tanzania POR 1
## 554 Turkey POR 2
## 555 USA POR 354
## 556 Argentina SAC 2
## 557 Bahamas SAC 5
## 558 Brazil SAC 1
## 559 Canada SAC 4
## 560 Croatia SAC 1
## 561 Democratic Republic of the Congo SAC 1
## 562 Dominican Republic SAC 7
## 563 France SAC 2
## 564 Gabon SAC 1
## 565 Greece SAC 1
## 566 Haiti SAC 3
## 567 Israel SAC 4
## 568 Italy SAC 1
## 569 Lithuania SAC 3
## 570 Portugal SAC 1
## 571 Russia SAC 1
## 572 Senegal SAC 1
## 573 Serbia SAC 5
## 574 Serbia and Montenegro SAC 13
## 575 Slovenia SAC 4
## 576 Turkey SAC 3
## 577 Ukraine SAC 4
## 578 USA SAC 330
## 579 Argentina SAS 21
## 580 Australia SAS 14
## 581 Austria SAS 4
## 582 Brazil SAS 5
## 583 Canada SAS 8
## 584 China SAS 1
## 585 Croatia SAS 2
## 586 France SAS 26
## 587 Italy SAS 4
## 588 Latvia SAS 3
## 589 Lithuania SAS 1
## 590 Netherlands SAS 1
## 591 New Zealand SAS 2
## 592 Senegal SAS 1
## 593 Serbia SAS 1
## 594 Slovenia SAS 6
## 595 Spain SAS 2
## 596 Turkey SAS 1
## 597 US Virgin Islands SAS 19
## 598 USA SAS 291
## 599 Argentina SEA 1
## 600 France SEA 3
## 601 Georgia SEA 2
## 602 Jamaica SEA 1
## 603 Netherlands SEA 1
## 604 Nigeria SEA 2
## 605 Senegal SEA 2
## 606 Serbia SEA 4
## 607 Ukraine SEA 3
## 608 USA SEA 161
## 609 Yugoslavia SEA 2
## 610 Argentina TOR 2
## 611 Australia TOR 2
## 612 Austria TOR 2
## 613 Belize TOR 2
## 614 Brazil TOR 10
## 615 Cameroon TOR 6
## 616 Canada TOR 9
## 617 China TOR 1
## 618 Democratic Republic of the Congo TOR 4
## 619 France TOR 4
## 620 Germany TOR 1
## 621 Italy TOR 8
## 622 Japan TOR 2
## 623 Lithuania TOR 9
## 624 New Zealand TOR 2
## 625 Nigeria TOR 4
## 626 Panama TOR 1
## 627 Republic of the Congo TOR 1
## 628 Saint Lucia TOR 3
## 629 Scotland TOR 1
## 630 Senegal TOR 6
## 631 Slovenia TOR 4
## 632 Spain TOR 9
## 633 Turkey TOR 1
## 634 Ukraine TOR 1
## 635 United Kingdom TOR 5
## 636 USA TOR 326
## 637 Venezuela TOR 2
## 638 Australia UTA 11
## 639 Belize UTA 1
## 640 Brazil UTA 5
## 641 Canada UTA 3
## 642 Croatia UTA 7
## 643 DRC UTA 1
## 644 England UTA 2
## 645 France UTA 10
## 646 Germany UTA 1
## 647 Latvia UTA 1
## 648 Montenegro UTA 1
## 649 Netherlands UTA 1
## 650 Nigeria UTA 2
## 651 Puerto Rico UTA 2
## 652 Russia UTA 10
## 653 Spain UTA 5
## 654 Sweden UTA 1
## 655 Switzerland UTA 2
## 656 Turkey UTA 11
## 657 U.S. Virgin Islands UTA 4
## 658 Ukraine UTA 6
## 659 USA UTA 310
## 660 Belize VAN 1
## 661 Dominican Republic VAN 2
## 662 Nigeria VAN 1
## 663 USA VAN 68
## 664 Argentina WAS 1
## 665 Brazil WAS 7
## 666 Colombia WAS 1
## 667 Croatia WAS 1
## 668 Czech Republic WAS 6
## 669 France WAS 10
## 670 Germany WAS 3
## 671 Israel WAS 2
## 672 Japan WAS 3
## 673 Latvia WAS 5
## 674 Lithuania WAS 3
## 675 Poland WAS 5
## 676 Puerto Rico WAS 2
## 677 Senegal WAS 2
## 678 Ukraine WAS 3
## 679 United Kingdom WAS 1
## 680 USA WAS 367Season_one <- subset(df, df$season == '2000-01')
library(ggplot2)
plot(Season_one$pts,Season_one$rebs,xlim=c(0,10),ylim=c(0,10)
)