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Using Rstudio Using the NBA data points load it into R Studio into matrix. Analysis and provide charts or diagram (ggplot or others) to find

Using Rstudio

Using the NBA data points load it into R Studio into matrix.

Analysis and provide charts or diagram (ggplot or others) to find out which NBA player

1) Who is the most efficient player? (2.5 points) (hint: points vs. minutes played)

2) Who is the 'best value" player (hint: in terms of productivity vs. salary paid). (2.5 points).

You are welcome to use any plotting functions and charts to support your position. You are also welcome to modify the data point/matrices, or create your own data point from the original data set.

You need to submit your code, your chart (screenshot) and your answers to the above two questions. No points will be awarded without code and chart to support your answer.

#Dear Student, # #Welcome to the world of Basketball Data! #I'm sure you will enjoy this section of the R Programming course. # #Instructions for this dataset: # Simply select ALL the lines in this script by pressing # CTRL+A on Windows or CMND+A on a Mac and execute them # Once you have executed the commands the following objects # will be created: # Matrices: # - FieldGoalAttempts # - FieldGoals # - Games # - MinutesPlayed # - Salary # Vectors: # - Players # - Seasons #We will go understand these inside the course. # #Sincerely, #Kirill Eremenko #www.superdatascience.com

#Copyright: These datasets were prepared using publicly available data. # However, theses scripts are subject to Copyright Laws. # If you wish to use these R scripts outside of the R Programming Course # by Kirill Eremenko, you may do so by referencing www.superdatascience.com in your work.

#Comments: #Seasons are labeled based on the first year in the season #E.g. the 2012-2013 season is preseneted as simply 2012

#Notes and Corrections to the data: #Kevin Durant: 2006 - College Data Used #Kevin Durant: 2005 - Proxied With 2006 Data #Derrick Rose: 2012 - Did Not Play #Derrick Rose: 2007 - College Data Used #Derrick Rose: 2006 - Proxied With 2007 Data #Derrick Rose: 2005 - Proxied With 2007 Data

#Seasons Seasons <- c("2005","2006","2007","2008","2009","2010","2011","2012","2013","2014")

#Players Players <- c("KobeBryant","JoeJohnson","LeBronJames","CarmeloAnthony","DwightHoward","ChrisBosh","ChrisPaul","KevinDurant","DerrickRose","DwayneWade")

#Salaries KobeBryant_Salary <- c(15946875,17718750,19490625,21262500,23034375,24806250,25244493,27849149,30453805,23500000) JoeJohnson_Salary <- c(12000000,12744189,13488377,14232567,14976754,16324500,18038573,19752645,21466718,23180790) LeBronJames_Salary <- c(4621800,5828090,13041250,14410581,15779912,14500000,16022500,17545000,19067500,20644400) CarmeloAnthony_Salary <- c(3713640,4694041,13041250,14410581,15779912,17149243,18518574,19450000,22407474,22458000) DwightHoward_Salary <- c(4493160,4806720,6061274,13758000,15202590,16647180,18091770,19536360,20513178,21436271) ChrisBosh_Salary <- c(3348000,4235220,12455000,14410581,15779912,14500000,16022500,17545000,19067500,20644400) ChrisPaul_Salary <- c(3144240,3380160,3615960,4574189,13520500,14940153,16359805,17779458,18668431,20068563) KevinDurant_Salary <- c(0,0,4171200,4484040,4796880,6053663,15506632,16669630,17832627,18995624) DerrickRose_Salary <- c(0,0,0,4822800,5184480,5546160,6993708,16402500,17632688,18862875) DwayneWade_Salary <- c(3031920,3841443,13041250,14410581,15779912,14200000,15691000,17182000,18673000,15000000) #Matrix Salary <- rbind(KobeBryant_Salary, JoeJohnson_Salary, LeBronJames_Salary, CarmeloAnthony_Salary, DwightHoward_Salary, ChrisBosh_Salary, ChrisPaul_Salary, KevinDurant_Salary, DerrickRose_Salary, DwayneWade_Salary) rm(KobeBryant_Salary, JoeJohnson_Salary, CarmeloAnthony_Salary, DwightHoward_Salary, ChrisBosh_Salary, LeBronJames_Salary, ChrisPaul_Salary, DerrickRose_Salary, DwayneWade_Salary, KevinDurant_Salary) colnames(Salary) <- Seasons rownames(Salary) <- Players

#Games KobeBryant_G <- c(80,77,82,82,73,82,58,78,6,35) JoeJohnson_G <- c(82,57,82,79,76,72,60,72,79,80) LeBronJames_G <- c(79,78,75,81,76,79,62,76,77,69) CarmeloAnthony_G <- c(80,65,77,66,69,77,55,67,77,40) DwightHoward_G <- c(82,82,82,79,82,78,54,76,71,41) ChrisBosh_G <- c(70,69,67,77,70,77,57,74,79,44) ChrisPaul_G <- c(78,64,80,78,45,80,60,70,62,82) KevinDurant_G <- c(35,35,80,74,82,78,66,81,81,27) DerrickRose_G <- c(40,40,40,81,78,81,39,0,10,51) DwayneWade_G <- c(75,51,51,79,77,76,49,69,54,62) #Matrix Games <- rbind(KobeBryant_G, JoeJohnson_G, LeBronJames_G, CarmeloAnthony_G, DwightHoward_G, ChrisBosh_G, ChrisPaul_G, KevinDurant_G, DerrickRose_G, DwayneWade_G) rm(KobeBryant_G, JoeJohnson_G, CarmeloAnthony_G, DwightHoward_G, ChrisBosh_G, LeBronJames_G, ChrisPaul_G, DerrickRose_G, DwayneWade_G, KevinDurant_G) colnames(Games) <- Seasons rownames(Games) <- Players

#Minutes Played KobeBryant_MP <- c(3277,3140,3192,2960,2835,2779,2232,3013,177,1207) JoeJohnson_MP <- c(3340,2359,3343,3124,2886,2554,2127,2642,2575,2791) LeBronJames_MP <- c(3361,3190,3027,3054,2966,3063,2326,2877,2902,2493) CarmeloAnthony_MP <- c(2941,2486,2806,2277,2634,2751,1876,2482,2982,1428) DwightHoward_MP <- c(3021,3023,3088,2821,2843,2935,2070,2722,2396,1223) ChrisBosh_MP <- c(2751,2658,2425,2928,2526,2795,2007,2454,2531,1556) ChrisPaul_MP <- c(2808,2353,3006,3002,1712,2880,2181,2335,2171,2857) KevinDurant_MP <- c(1255,1255,2768,2885,3239,3038,2546,3119,3122,913) DerrickRose_MP <- c(1168,1168,1168,3000,2871,3026,1375,0,311,1530) DwayneWade_MP <- c(2892,1931,1954,3048,2792,2823,1625,2391,1775,1971) #Matrix MinutesPlayed <- rbind(KobeBryant_MP, JoeJohnson_MP, LeBronJames_MP, CarmeloAnthony_MP, DwightHoward_MP, ChrisBosh_MP, ChrisPaul_MP, KevinDurant_MP, DerrickRose_MP, DwayneWade_MP) rm(KobeBryant_MP, JoeJohnson_MP, CarmeloAnthony_MP, DwightHoward_MP, ChrisBosh_MP, LeBronJames_MP, ChrisPaul_MP, DerrickRose_MP, DwayneWade_MP, KevinDurant_MP) colnames(MinutesPlayed) <- Seasons rownames(MinutesPlayed) <- Players

#Field Goals KobeBryant_FG <- c(978,813,775,800,716,740,574,738,31,266) JoeJohnson_FG <- c(632,536,647,620,635,514,423,445,462,446) LeBronJames_FG <- c(875,772,794,789,768,758,621,765,767,624) CarmeloAnthony_FG <- c(756,691,728,535,688,684,441,669,743,358) DwightHoward_FG <- c(468,526,583,560,510,619,416,470,473,251) ChrisBosh_FG <- c(549,543,507,615,600,524,393,485,492,343) ChrisPaul_FG <- c(407,381,630,631,314,430,425,412,406,568) KevinDurant_FG <- c(306,306,587,661,794,711,643,731,849,238) DerrickRose_FG <- c(208,208,208,574,672,711,302,0,58,338) DwayneWade_FG <- c(699,472,439,854,719,692,416,569,415,509) #Matrix FieldGoals <- rbind(KobeBryant_FG, JoeJohnson_FG, LeBronJames_FG, CarmeloAnthony_FG, DwightHoward_FG, ChrisBosh_FG, ChrisPaul_FG, KevinDurant_FG, DerrickRose_FG, DwayneWade_FG) rm(KobeBryant_FG, JoeJohnson_FG, LeBronJames_FG, CarmeloAnthony_FG, DwightHoward_FG, ChrisBosh_FG, ChrisPaul_FG, KevinDurant_FG, DerrickRose_FG, DwayneWade_FG) colnames(FieldGoals) <- Seasons rownames(FieldGoals) <- Players

#Field Goal Attempts KobeBryant_FGA <- c(2173,1757,1690,1712,1569,1639,1336,1595,73,713) JoeJohnson_FGA <- c(1395,1139,1497,1420,1386,1161,931,1052,1018,1025) LeBronJames_FGA <- c(1823,1621,1642,1613,1528,1485,1169,1354,1353,1279) CarmeloAnthony_FGA <- c(1572,1453,1481,1207,1502,1503,1025,1489,1643,806) DwightHoward_FGA <- c(881,873,974,979,834,1044,726,813,800,423) ChrisBosh_FGA <- c(1087,1094,1027,1263,1158,1056,807,907,953,745) ChrisPaul_FGA <- c(947,871,1291,1255,637,928,890,856,870,1170) KevinDurant_FGA <- c(647,647,1366,1390,1668,1538,1297,1433,1688,467) DerrickRose_FGA <- c(436,436,436,1208,1373,1597,695,0,164,835) DwayneWade_FGA <- c(1413,962,937,1739,1511,1384,837,1093,761,1084) #Matrix FieldGoalAttempts <- rbind(KobeBryant_FGA, JoeJohnson_FGA, LeBronJames_FGA, CarmeloAnthony_FGA, DwightHoward_FGA, ChrisBosh_FGA, ChrisPaul_FGA, KevinDurant_FGA, DerrickRose_FGA, DwayneWade_FGA) rm(KobeBryant_FGA, JoeJohnson_FGA, LeBronJames_FGA, CarmeloAnthony_FGA, DwightHoward_FGA, ChrisBosh_FGA, ChrisPaul_FGA, KevinDurant_FGA, DerrickRose_FGA, DwayneWade_FGA) colnames(FieldGoalAttempts) <- Seasons rownames(FieldGoalAttempts) <- Players

#Points KobeBryant_PTS <- c(2832,2430,2323,2201,1970,2078,1616,2133,83,782) JoeJohnson_PTS <- c(1653,1426,1779,1688,1619,1312,1129,1170,1245,1154) LeBronJames_PTS <- c(2478,2132,2250,2304,2258,2111,1683,2036,2089,1743) CarmeloAnthony_PTS <- c(2122,1881,1978,1504,1943,1970,1245,1920,2112,966) DwightHoward_PTS <- c(1292,1443,1695,1624,1503,1784,1113,1296,1297,646) ChrisBosh_PTS <- c(1572,1561,1496,1746,1678,1438,1025,1232,1281,928) ChrisPaul_PTS <- c(1258,1104,1684,1781,841,1268,1189,1186,1185,1564) KevinDurant_PTS <- c(903,903,1624,1871,2472,2161,1850,2280,2593,686) DerrickRose_PTS <- c(597,597,597,1361,1619,2026,852,0,159,904) DwayneWade_PTS <- c(2040,1397,1254,2386,2045,1941,1082,1463,1028,1331) #Matrix Points <- rbind(KobeBryant_PTS, JoeJohnson_PTS, LeBronJames_PTS, CarmeloAnthony_PTS, DwightHoward_PTS, ChrisBosh_PTS, ChrisPaul_PTS, KevinDurant_PTS, DerrickRose_PTS, DwayneWade_PTS) rm(KobeBryant_PTS, JoeJohnson_PTS, LeBronJames_PTS, CarmeloAnthony_PTS, DwightHoward_PTS, ChrisBosh_PTS, ChrisPaul_PTS, KevinDurant_PTS, DerrickRose_PTS, DwayneWade_PTS) colnames(Points) <- Seasons rownames(Points) <- Players

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