diff --git a/wk7/tennis.csv b/wk7/tennis.csv
index 334fcca..1dc2f14 100644
--- a/wk7/tennis.csv
+++ b/wk7/tennis.csv
@@ -1,1001 +1,702 @@
-ranking,country,player,age,points,tournplayed,born,weight,height,hand,gender
-1,ESP,Rafael Nadal,31,8770,14,1986,85,185,L,M
-2,SUI,Roger Federer,36,8670,17,1981,85,185,R,M
-3,CRO,Marin Cilic,29,4985,20,1988,89,198,R,M
-4,GER,Alexander Zverev,20,4925,24,1997,86,198,R,M
-5,BUL,Grigor Dimitrov,26,4635,22,1991,80,191,R,M
-6,ARG,Juan Martin del Potro,29,4470,20,1988,97,198,R,M
-7,AUT,Dominic Thiem,24,3665,25,1993,82,185,R,M
-8,RSA,Kevin Anderson,31,3390,22,1986,93,203,R,M
-9,USA,John Isner,32,3125,25,1985,108,208,R,M
-10,BEL,David Goffin,27,3110,24,1990,68,180,R,M
-11,FRA,Lucas Pouille,24,2410,24,1994,81,185,R,M
-12,ESP,Pablo Carreno Busta,26,2395,25,1991,78,188,R,M
-13,SRB,Novak Djokovic,30,2310,15,1987,77,188,R,M
-14,USA,Sam Querrey,30,2220,23,1987,95,198,R,M
-15,ARG,Diego Schwartzman,25,2220,26,1992,64,170,R,M
-16,ESP,Roberto Bautista Agut,30,2175,25,1988,76,183,R,M
-17,USA,Jack Sock,25,2155,22,1992,84,191,R,M
-18,CZE,Tomas Berdych,32,2140,19,1985,91,196,R,M
-19,KOR,Hyeon Chung,21,1897,22,1996,87,188,R,M
-20,ITA,Fabio Fognini,30,1840,24,1987,74,178,R,M
-21,SUI,Stan Wawrinka,33,1785,14,1985,81,183,R,M
-22,CAN,Milos Raonic,27,1765,20,1990,98,196,R,M
-23,GBR,Kyle Edmund,23,1757,25,1995,83,188,R,M
-24,ESP,Albert Ramos-Vinolas,30,1745,29,1988,80,188,L,M
-25,AUS,Nick Kyrgios,22,1720,19,1995,85,193,R,M
-26,FRA,Adrian Mannarino,29,1655,26,1988,70,180,L,M
-27,SRB,Filip Krajinovic,26,1616,25,1992,75,185,R,M
-28,LUX,Gilles Muller,34,1465,22,1983,89,193,L,M
-29,GBR,Andy Murray,30,1450,14,1987,84,191,R,M
-30,ESP,Feliciano Lopez,36,1420,24,1981,88,188,L,M
-31,BIH,Damir Dzumhur,25,1415,29,1992,70,175,R,M
-32,ESP,David Ferrer,36,1405,23,1982,73,175,R,M
-33,RUS,Andrey Rublev,20,1378,23,1997,70,188,R,M
-34,FRA,Richard Gasquet,31,1340,24,1986,75,185,R,M
-35,FRA,Jo-Wilfried Tsonga,32,1300,17,1985,91,188,R,M
-36,JPN,Kei Nishikori,28,1280,20,1989,75,178,R,M
-37,ESP,Fernando Verdasco,34,1280,26,1983,87,185,L,M
-38,RUS,Karen Khachanov,21,1255,26,1996,88,198,R,M
-39,CRO,Borna Coric,21,1251,23,1996,79,185,R,M
-40,GER,Philipp Kohlschreiber,34,1230,21,1983,70,178,R,M
-41,URU,Pablo Cuevas,32,1210,24,1986,80,180,R,M
-42,FRA,Gael Monfils,31,1175,21,1986,80,193,R,M
-43,JPN,Yuichi Sugita,29,1160,27,1988,70,175,R,M
-44,NED,Robin Haase,31,1120,29,1987,71,191,R,M
-45,CAN,Denis Shapovalov,19,1118,22,1999,75,183,L,M
-46,ARG,Leonardo Mayer,30,1073,22,1987,80,191,R,M
-47,USA,Tennys Sandgren,26,1033,31,1991,87,188,R,M
-48,FRA,Benoit Paire,28,1020,30,1989,80,196,R,M
-49,RUS,Daniil Medvedev,22,984,25,1996,81,198,R,M
-50,GER,Peter Gojowczyk,28,979,24,1989,83,188,R,M
-51,USA,Jared Donaldson,21,977,26,1996,75,188,R,M
-52,USA,Steve Johnson,28,975,26,1989,86,188,R,M
-53,UKR,Alexandr Dolgopolov,29,966,20,1988,71,180,R,M
-54,USA,Ryan Harrison,25,945,27,1992,84,185,R,M
-55,GER,Mischa Zverev,30,932,32,1987,88,191,L,M
-56,USA,Frances Tiafoe,20,913,24,1998,77,188,R,M
-57,FRA,Julien Benneteau,36,891,18,1981,79,185,R,M
-58,SLO,Aljaz Bedene,28,877,19,1989,72,183,R,M
-59,HUN,Marton Fucsovics,26,864,27,1992,82,188,R,M
-60,ARG,Guido Pella,27,858,25,1990,83,185,L,M
-61,GER,Jan-Lennard Struff,27,855,30,1990,87,196,R,M
-62,ITA,Andreas Seppi,34,851,25,1984,75,191,R,M
-63,ITA,Paolo Lorenzi,36,850,29,1981,77,183,R,M
-64,POR,Joao Sousa,29,830,32,1989,74,185,R,M
-65,CHI,Nicolas Jarry,22,822,23,1995,90,198,R,M
-66,USA,Taylor Fritz,20,819,25,1997,84,193,R,M
-67,ARG,Horacio Zeballos,32,798,27,1985,83,188,L,M
-68,ESP,Guillermo Garcia-Lopez,34,798,28,1983,80,185,R,M
-69,FRA,Gilles Simon,33,780,30,1984,70,183,R,M
-70,SRB,Viktor Troicki,32,775,28,1986,86,193,R,M
-71,GRE,Stefanos Tsitsipas,19,767,30,1998,83,191,R,M
-72,CZE,Jiri Vesely,24,745,26,1993,92,198,L,M
-73,GER,Maximilian Marterer,22,731,29,1995,84,191,L,M
-74,GER,Florian Mayer,34,729,23,1983,82,191,R,M
-75,ESP,Roberto Carballes Baena,25,718,31,1993,76,180,R,M
-76,CRO,Ivo Karlovic,39,715,23,1979,104,211,R,M
-77,CAN,Vasek Pospisil,27,715,25,1990,84,193,R,M
-78,AUS,Matthew Ebden,30,713,26,1987,80,188,R,M
-79,ARG,Federico Delbonis,27,710,19,1990,88,191,L,M
-80,GEO,Nikoloz Basilashvili,26,700,29,1992,79,185,R,M
-81,CYP,Marcos Baghdatis,32,699,23,1985,82,178,R,M
-82,FRA,Pierre-Hugues Herbert,27,690,25,1991,75,188,R,M
-83,IND,Yuki Bhambri,25,688,22,1992,77,183,R,M
-84,FRA,Jeremy Chardy,31,685,23,1987,75,188,R,M
-85,TUN,Malek Jaziri,34,683,34,1984,82,185,R,M
-86,ROU,Marius Copil,27,680,25,1990,87,191,R,M
-87,RUS,Evgeny Donskoy,27,673,29,1990,74,185,R,M
-88,UZB,Denis Istomin,31,673,24,1986,88,188,R,M
-89,LTU,Ricardas Berankis,27,668,30,1990,70,175,R,M
-90,ARG,Nicolas Kicker,25,650,27,1992,75,178,R,M
-91,AUS,John Millman,28,645,24,1989,79,183,R,M
-92,BIH,Mirza Basic,26,643,21,1991,88,188,R,M
-93,SRB,Dusan Lajovic,27,639,27,1990,78,183,R,M
-94,ISR,Dudi Sela,33,638,23,1985,65,175,R,M
-95,KAZ,Mikhail Kukushkin,30,634,24,1987,72,183,R,M
-96,MDA,Radu Albot,28,626,30,1989,69,175,R,M
-97,RUS,Mikhail Youzhny,35,616,28,1982,73,183,R,M
-98,TPE,Yen-Hsun Lu,34,615,16,1983,74,180,R,M
-99,AUS,Jordan Thompson,23,611,27,1994,73,183,R,M
-100,ITA,Marco Cecchinato,25,606,31,1992,78,185,R,M
-101,GER,Cedrik-Marcel Stebe,27,596,16,1990,70,183,L,M
-102,SRB,Laslo Djere,22,594,25,1995,80,185,R,M
-103,ITA,Thomas Fabbiano,28,586,27,1989,69,173,R,M
-104,GBR,Cameron Norrie,22,581,23,1995,82,188,L,M
-105,ITA,Matteo Berrettini,22,577,21,1996,85,193,R,M
-106,SVK,Lukas Lacko,30,540,26,1987,85,185,R,M
-107,USA,Bjorn Fratangelo,24,536,30,1993,79,183,R,M
-108,BEL,Ruben Bemelmans,30,523,25,1988,75,183,L,M
-109,ITA,Stefano Travaglia,26,515,25,1991,80,185,R,M
-110,POR,Gastao Elias,27,511,30,1990,76,183,R,M
-111,FRA,Nicolas Mahut,36,508,21,1982,80,191,R,M
-112,AUS,Alex de Minaur,19,505,22,1999,69,180,R,M
-113,JPN,Taro Daniel,25,501,27,1993,76,191,R,M
-114,ARG,Carlos Berlocq,35,499,29,1983,81,183,R,M
-115,AUT,Gerald Melzer,27,490,20,1990,80,188,L,M
-116,IND,Ramkumar Ramanathan,23,489,30,1994,77,188,R,M
-117,USA,Denis Kudla,25,481,25,1992,75,180,R,M
-118,FRA,Quentin Halys,21,469,23,1996,78,191,R,M
-119,POR,Pedro Sousa,29,467,20,1988,70,178,R,M
-120,GER,Yannick Hanfmann,26,465,23,1991,86,193,R,M
-121,UKR,Sergiy Stakhovsky,32,463,29,1986,80,193,R,M
-122,BLR,Ilya Ivashka,24,458,18,1994,83,191,R,M
-123,USA,Tim Smyczek,30,450,23,1987,73,175,R,M
-124,CAN,Peter Polansky,29,448,33,1988,80,183,R,M
-125,BRA,Rogerio Dutra Silva,34,442,30,1984,73,178,R,M
-126,BRA,Thiago Monteiro,23,438,27,1994,78,183,L,M
-127,SLO,Blaz Kavcic,31,433,26,1987,78,188,R,M
-128,SVK,Martin Klizan,28,431,18,1989,85,191,L,M
-129,ESP,Marcel Granollers,32,429,24,1986,77,191,R,M
-130,FRA,Calvin Hemery,23,429,28,1995,85,188,R,M
-131,USA,Donald Young,28,426,24,1989,79,183,L,M
-132,GER,Yannick Maden,28,426,26,1989,68,185,R,M
-133,SWE,Elias Ymer,22,418,26,1996,78,183,R,M
-134,GER,Oscar Otte,24,418,26,1993,77,196,R,M
-135,RUS,Andrey Kuznetsov,27,411,18,1991,71,185,R,M
-136,SUI,Henri Laaksonen,26,409,28,1992,78,185,R,M
-137,EST,Jurgen Zopp,30,408,22,1988,88,191,R,M
-138,JPN,Go Soeda,33,408,26,1984,73,178,R,M
-139,AUT,Sebastian Ofner,21,406,23,1996,81,191,R,M
-140,BEL,Steve Darcis,34,406,17,1984,77,178,R,M
-141,RUS,Alexey Vatutin,25,400,31,1992,69,178,R,M
-142,USA,Mackenzie McDonald,23,395,28,1995,73,178,R,M
-143,KAZ,Alexander Bublik,20,390,26,1997,76,196,R,M
-144,ITA,Simone Bolelli,32,389,19,1985,83,183,R,M
-145,SVK,Andrej Martin,28,386,24,1989,72,180,R,M
-146,JPN,Tatsuma Ito,29,386,26,1988,75,180,R,M
-147,SVK,Norbert Gombos,27,385,30,1990,86,193,R,M
-148,FRA,Corentin Moutet,18,384,25,1999,68,175,L,M
-149,USA,Ernesto Escobedo,21,381,25,1996,82,185,R,M
-150,AUS,Thanasi Kokkinakis,22,380,11,1996,82,196,R,M
-151,USA,Michael Mmoh,20,380,23,1998,85,185,R,M
-152,SVK,Jozef Kovalik,25,379,26,1992,82,183,R,M
-153,SRB,Janko Tipsarevic,33,376,11,1984,80,180,R,M
-154,ESP,Pablo Andujar,32,376,7,1986,76,180,R,M
-155,TPE,Jason Jung,28,376,24,1989,69,180,R,M
-156,ESP,Adrian Menendez-Maceiras,32,374,22,1985,75,183,R,M
-157,GBR,Liam Broady,24,359,21,1994,78,183,L,M
-158,GER,Mats Moraing,25,355,29,1992,84,198,L,M
-159,ITA,Lorenzo Sonego,22,352,23,1995,73,,R,M
-160,GER,Matthias Bachinger,31,350,19,1987,83,188,R,M
-161,ARG,Guido Andreozzi,26,346,22,1991,77,183,R,M
-162,GER,Dustin Brown,33,343,26,1984,78,196,R,M
-163,USA,Tommy Paul,20,342,18,1997,78,185,R,M
-164,ITA,Alessandro Giannessi,27,341,24,1990,82,185,L,M
-165,USA,Bradley Klahn,27,335,21,1990,75,183,L,M
-166,SLO,Blaz Rola,27,335,26,1990,85,193,L,M
-167,USA,Dennis Novikov,24,334,30,1993,91,193,R,M
-168,AUS,Akira Santillan,20,331,20,1997,78,180,R,M
-169,FRA,Stephane Robert,37,330,26,1980,77,185,R,M
-170,USA,Stefan Kozlov,20,325,24,1998,79,183,R,M
-171,DOM,Victor Estrella Burgos,37,324,26,1980,77,170,R,M
-172,USA,Kevin King,27,322,24,1991,86,191,L,M
-173,ESP,Jaume Munar,20,322,27,1997,78,183,R,M
-174,FRA,Kenny De Schepper,30,321,27,1987,104,203,L,M
-175,CAN,Felix Auger-Aliassime,17,317,21,2000,84,191,R,M
-176,AUS,Jason Kubler,24,316,18,1993,74,178,R,M
-177,AUS,Alex Bolt,25,316,22,1993,84,183,L,M
-178,POL,Jerzy Janowicz,27,315,14,1990,94,203,R,M
-179,BAR,Darian King,25,314,21,1992,77,188,R,M
-180,CAN,Filip Peliwo,24,314,28,1994,72,180,R,M
-181,ESA,Marcelo Arevalo,27,313,19,1990,86,191,R,M
-182,AUS,Bernard Tomic,25,311,18,1992,91,196,R,M
-183,CRO,Viktor Galovic,27,310,21,1990,88,193,R,M
-184,HUN,Attila Balazs,29,310,30,1988,78,180,R,M
-185,POL,Hubert Hurkacz,21,309,27,1997,79,196,R,M
-186,ESP,Nicolas Almagro,32,308,12,1985,86,183,R,M
-187,ITA,Stefano Napolitano,23,308,21,1995,89,196,R,M
-188,FRA,Gleb Sakharov,29,308,28,1988,80,185,R,M
-189,ARG,Renzo Olivo,26,307,25,1992,73,180,R,M
-190,ESP,Carlos Taberner,20,307,24,1997,78,183,R,M
-191,ARG,Marco Trungelliti,28,303,19,1990,78,180,R,M
-192,USA,Evan King,26,303,31,1992,79,185,L,M
-193,LAT,Ernests Gulbis,29,302,17,1988,88,193,R,M
-194,AUT,Dennis Novak,24,294,27,1993,80,183,R,M
-195,ITA,Salvatore Caruso,25,294,28,1992,80,185,R,M
-196,ESP,Nicola Kuhn,18,292,17,2000,75,185,R,M
-197,SRB,Miomir Kecmanovic,18,292,24,1999,75,183,R,M
-198,SRB,Nikola Milojevic,22,292,25,1995,76,188,R,M
-199,CAN,Brayden Schnur,22,286,22,1995,84,193,R,M
-200,ESP,Enrique Lopez Perez,26,283,29,1991,76,180,R,M
-201,NOR,Casper Ruud,19,281,28,1998,77,183,R,M
-202,ESP,Tommy Robredo,35,281,25,1982,75,180,R,M
-203,FRA,Benjamin Bonzi,21,280,23,1996,75,183,R,M
-204,BLR,Egor Gerasimov,25,279,10,1992,84,183,R,M
-205,POR,Joao Domingues,24,279,20,1993,70,,R,M
-206,ESP,Ricardo Ojeda Lara,25,279,25,1993,76,180,R,M
-207,FRA,Constant Lestienne,25,273,29,1992,72,180,R,M
-208,KOR,Soonwoo Kwon,20,272,20,1997,72,180,R,M
-209,AUS,Marc Polmans,20,272,27,1997,78,188,R,M
-210,CZE,Adam Pavlasek,23,268,22,1994,76,185,R,M
-211,USA,Reilly Opelka,20,268,20,1997,100,211,R,M
-212,POR,Goncalo Oliveira,23,268,43,1995,79,185,L,M
-213,GER,Tobias Kamke,31,265,23,1986,76,178,R,M
-214,KOR,Duckhee Lee,19,262,31,1998,75,175,R,M
-215,IND,Sumit Nagal,20,260,25,1997,69,178,R,M
-216,CHI,Christian Garin,21,256,22,1996,85,185,R,M
-217,BLR,Uladzimir Ignatik,27,256,32,1990,82,183,R,M
-218,ARG,Juan Ignacio Londero,24,255,20,1993,70,180,R,M
-219,USA,Mitchell Krueger,24,252,29,1994,82,188,R,M
-220,FRA,Vincent Millot,32,251,22,1986,75,173,L,M
-221,ESP,Pedro Martinez,20,249,34,1997,70,183,R,M
-222,ITA,Andrea Arnaboldi,30,249,36,1987,72,180,L,M
-223,ARG,Facundo Bagnis,28,247,23,1990,82,183,L,M
-224,BRA,Thomaz Bellucci,30,244,19,1987,82,188,L,M
-225,CZE,Zdenek Kolar,21,244,32,1996,76,185,R,M
-226,EGY,Mohamed Safwat,27,243,24,1990,82,183,R,M
-227,BIH,Aldin Setkic,30,243,28,1987,86,191,R,M
-228,JPN,Yasutaka Uchiyama,25,242,20,1992,78,183,R,M
-229,POL,Kamil Majchrzak,22,242,24,1996,74,183,R,M
-230,GER,Dominik Koepfer,23,241,25,1994,82,180,L,M
-231,BOL,Hugo Dellien,24,237,20,1993,75,178,R,M
-232,SRB,Pedja Krstin,23,234,27,1994,73,183,R,M
-233,COL,Daniel Elahi Galan,21,233,24,1996,72,191,R,M
-234,GER,Jan Choinski,21,233,25,1996,80,196,R,M
-235,USA,Christian Harrison,23,231,24,1994,77,180,R,M
-236,GBR,Jay Clarke,19,231,23,1998,80,183,R,M
-237,ARG,Andrea Collarini,26,230,27,1992,80,185,L,M
-238,AUS,John-Patrick Smith,29,228,17,1989,84,188,L,M
-239,NED,Tallon Griekspoor,21,224,17,1996,82,188,R,M
-240,RSA,Lloyd Harris,21,223,25,1997,80,196,R,M
-241,BRA,Guilherme Clezar,25,222,24,1992,79,183,R,M
-242,KAZ,Aleksandr Nedovyesov,31,221,21,1987,81,193,R,M
-243,FRA,Antoine Hoang,22,220,26,1995,71,183,A,M
-244,TUR,Cem Ilkel,22,215,30,1995,79,185,R,M
-245,FRA,Mathias Bourgue,24,213,28,1994,83,188,R,M
-246,SRB,Danilo Petrovic,26,207,26,1992,86,203,R,M
-247,USA,Noah Rubin,22,205,17,1996,68,175,R,M
-248,CHN,Ze Zhang,27,205,19,1990,85,188,R,M
-249,CHN,Di Wu,26,204,23,1991,65,173,R,M
-250,ITA,Matteo Donati,23,204,26,1995,74,185,R,M
-251,LTU,Laurynas Grigelis,26,203,29,1991,78,183,R,M
-252,UKR,Illya Marchenko,30,202,13,1987,82,185,R,M
-253,ARG,Facundo Arguello,25,202,23,1992,77,178,R,M
-254,TPE,Tsung-Hua Yang,27,202,25,1991,80,178,R,M
-255,AUS,Max Purcell,20,201,25,1998,75,185,R,M
-256,CRO,Nino Serdarusic,21,201,32,1996,79,188,R,M
-257,CZE,Vaclav Safranek,23,199,24,1994,80,185,R,M
-258,BEL,Julien Cagnina,23,199,22,1994,70,183,R,M
-259,KAZ,Dmitry Popko,21,197,27,1996,87,191,R,M
-260,BIH,Tomislav Brkic,28,197,28,1990,80,185,R,M
-261,POR,Joao Monteiro,24,196,23,1993,77,178,R,M
-262,USA,Alexander Sarkissian,28,196,26,1990,79,191,R,M
-263,DOM,Jose Hernandez-Fernandez,28,196,26,1990,77,183,R,M
-264,RUS,Ivan Nedelko,31,196,36,1986,,,,M
-265,ESP,Javier Marti,26,193,24,1992,,,R,M
-266,IND,Prajnesh Gunneswaran,28,193,26,1989,80,188,L,M
-267,ITA,Lorenzo Giustino,26,193,29,1991,80,183,R,M
-268,FRA,David Guez,35,192,25,1982,75,185,R,M
-269,BEL,Christopher Heyman,24,192,26,1993,90,191,L,M
-270,ITA,Matteo Viola,30,192,34,1987,80,185,R,M
-271,NED,Scott Griekspoor,27,190,23,1991,80,188,R,M
-272,ESP,Daniel Gimeno-Traver,32,189,19,1985,80,183,R,M
-273,AUS,Andrew Whittington,24,188,23,1993,82,188,R,M
-274,ESP,Daniel Munoz de la Nava,36,188,18,1982,75,178,L,M
-275,ESP,Carlos Boluda-Purkiss,25,187,22,1993,69,173,R,M
-276,URU,Martin Cuevas,26,187,26,1992,,,,M
-277,JPN,Yusuke Takahashi,20,185,24,1997,68,170,R,M
-278,ESP,Sergio Gutierrez-Ferrol,29,185,24,1989,,,R,M
-279,AUS,Bradley Mousley,22,182,24,1996,82,188,R,M
-280,ECU,Roberto Quiroz,26,180,22,1992,88,193,L,M
-281,FRA,Gregoire Barrere,24,180,25,1994,83,183,R,M
-282,ARG,Hernan Casanova,24,178,27,1994,76,178,R,M
-283,ESP,Bernabe Zapata Miralles,21,178,33,1997,73,185,R,M
-284,CZE,Lukas Rosol,32,177,12,1985,83,193,R,M
-285,FRA,Maxime Janvier,21,175,24,1996,80,193,R,M
-286,AUS,Sam Groth,30,174,10,1987,100,193,R,M
-287,BEL,Arthur De Greef,26,173,21,1992,73,183,R,M
-288,CRO,Ante Pavic,29,173,21,1989,96,196,R,M
-289,FRA,Geoffrey Blancaneaux,19,172,23,1998,68,178,R,M
-290,USA,Christopher Eubanks,21,170,16,1996,82,201,R,M
-291,USA,Austin Krajicek,27,170,27,1990,79,188,L,M
-292,CRO,Franko Skugor,30,169,11,1987,96,198,R,M
-293,COL,Santiago Giraldo,30,168,13,1987,75,188,R,M
-294,SRB,Miljan Zekic,29,168,27,1988,79,185,R,M
-295,ESP,Carlos Gomez-Herrera,27,167,19,1990,85,191,R,M
-296,JPN,Kaichi Uchida,23,167,35,1994,,,,M
-297,POR,Frederico Ferreira Silva,23,166,20,1995,,,L,M
-298,GER,Tommy Haas,40,165,10,1978,84,188,R,M
-299,ISR,Edan Leshem,21,163,23,1997,70,183,R,M
-300,CZE,Marek Jaloviec,24,163,30,1994,72,180,L,M
-301,RUS,Teymuraz Gabashvili,32,162,26,1985,83,188,R,M
-302,ITA,Andrea Basso,24,162,23,1993,72,185,L,M
-303,TUR,Marsel Ilhan,30,162,33,1987,80,191,R,M
-304,BUL,Dimitar Kuzmanov,24,161,23,1993,72,183,R,M
-305,BRA,Joao Souza,29,161,24,1988,92,193,R,M
-306,FRA,Ugo Humbert,19,161,28,1998,68,175,L,M
-307,AUS,Dayne Kelly,27,160,23,1990,,,,M
-308,COL,Alejandro Gonzalez,29,159,21,1989,83,191,R,M
-309,JPN,Hiroki Moriya,27,159,26,1990,65,170,R,M
-310,GER,Tim Puetz,30,158,11,1987,78,185,R,M
-311,NED,Thiemo de Bakker,29,157,18,1988,83,193,R,M
-312,EGY,Youssef Hossam,19,157,24,1998,75,178,R,M
-313,BEL,Kimmer Coppejans,24,156,24,1994,68,180,R,M
-314,SWE,Markus Eriksson,28,155,26,1989,80,188,R,M
-315,GBR,Alexander Ward,27,153,14,1990,85,185,R,M
-316,GER,Daniel Altmaier,19,153,17,1998,88,191,R,M
-317,AUT,Lucas Miedler,21,153,24,1996,77,180,R,M
-318,USA,Marcos Giron,24,151,23,1993,77,180,R,M
-319,ESP,Roberto Ortega-Olmedo,26,150,30,1991,,,,M
-320,ITA,Federico Gaio,26,149,24,1992,84,180,R,M
-321,RUS,Ivan Gakhov,21,149,28,1996,83,193,L,M
-322,BEL,Joris De Loore,24,148,18,1993,86,191,R,M
-323,RUS,Konstantin Kravchuk,33,147,20,1985,80,191,R,M
-324,ITA,Luca Vanni,32,147,20,1985,94,198,R,M
-325,ESP,Inigo Cervantes,28,146,19,1989,78,183,R,M
-326,RUS,Evgeny Karlovskiy,23,146,20,1994,85,191,R,M
-327,ESP,Mario Vilella Martinez,22,145,27,1995,74,178,R,M
-328,CAN,Frank Dancevic,33,144,14,1984,79,185,R,M
-329,USA,Daniel Nguyen,27,144,16,1990,73,173,R,M
-330,CAN,Steven Diez,27,143,29,1991,76,178,R,M
-331,ITA,Andrea Pellegrino,21,142,22,1997,75,185,R,M
-332,EGY,Karim-Mohamed Maamoun,27,142,29,1991,73,175,R,M
-333,CHN,Zhe Li,31,141,26,1986,77,185,R,M
-334,USA,JC Aragone,22,140,18,1995,79,178,R,M
-335,ITA,Gianluigi Quinzi,22,140,13,1996,84,191,L,M
-336,BEL,Yannick Mertens,30,140,31,1987,72,188,R,M
-337,CHN,Yibing Wu,18,139,12,1999,73,183,R,M
-338,AUS,Marinko Matosevic,32,139,16,1985,86,193,R,M
-339,DOM,Roberto Cid Subervi,24,138,13,1993,82,193,R,M
-340,BRA,Daniel Dutra da Silva,29,137,23,1988,76,,L,M
-341,ARG,Juan Pablo Ficovich,21,137,26,1997,78,191,R,M
-342,CHN,Zhizhen Zhang,21,136,19,1996,87,193,R,M
-343,AUS,Maverick Banes,26,136,23,1992,,,,M
-344,ARG,Juan Ignacio Galarza,24,135,22,1994,81,183,R,M
-345,SVK,Filip Horansky,25,135,23,1993,,,R,M
-346,FRA,Yannick Jankovits,31,135,24,1987,72,,R,M
-347,ARG,Patricio Heras,29,134,13,1989,75,183,R,M
-348,FRA,Elliot Benchetrit,19,134,24,1998,80,193,R,M
-349,FRA,Albano Olivetti,26,134,26,1991,104,203,R,M
-350,ARG,Pedro Cachin,23,133,19,1995,77,185,R,M
-351,AUT,Maximilian Neuchrist,26,131,24,1991,,,R,M
-352,ITA,Alessandro Bega,27,130,26,1991,68,173,R,M
-353,ITA,Gian Marco Moroni,20,127,19,1998,85,185,R,M
-354,NZL,Rubin Statham,30,127,26,1987,80,180,R,M
-355,RSA,Nicolaas Scholtz,27,126,20,1991,,,R,M
-356,JPN,Hiroyasu Ehara,26,126,21,1991,,,,M
-357,SWE,Christian Lindell,26,126,23,1991,87,193,R,M
-358,SWE,Mikael Ymer,19,125,17,1998,75,183,R,M
-359,JPN,Yosuke Watanuki,20,125,18,1998,63,180,R,M
-360,BLR,Dzmitry Zhyrmont,29,125,21,1989,85,188,R,M
-361,ARG,Federico Coria,26,125,26,1992,73,180,R,M
-362,BRA,Joao Pedro Sorgi,24,124,24,1993,82,188,R,M
-363,COL,Cristian Rodriguez,27,123,18,1990,76,180,R,M
-364,FRA,Alexandre Muller,21,123,22,1997,73,180,R,M
-365,MON,Lucas Catarina,21,122,29,1996,80,185,R,M
-366,JPN,Yoshihito Nishioka,22,121,11,1995,64,170,L,M
-367,CZE,Jan Satral,27,121,24,1990,82,188,R,M
-368,AUS,Andrew Harris,24,120,15,1994,82,183,R,M
-369,FRA,Antoine Escoffier,26,120,28,1992,,,,M
-370,RUS,Evgeny Tyurnev,21,119,21,1997,,,R,M
-371,ECU,Gonzalo Escobar,29,119,21,1989,,,L,M
-372,FRA,Paul-Henri Mathieu,36,115,10,1982,74,185,R,M
-373,GER,Jeremy Jahn,28,115,24,1990,73,178,R,M
-374,ARG,Facundo Mena,25,113,17,1992,85,183,R,M
-375,KOR,Cheong-Eui Kim,28,113,23,1990,,,,M
-376,FRA,Axel Michon,27,111,15,1990,,,,M
-377,AUT,Michael Linzer,28,111,19,1989,77,180,R,M
-378,USA,Raymond Sarmiento,25,110,10,1992,68,178,R,M
-379,FRA,Johan Tatlot,22,109,16,1996,80,180,R,M
-380,UZB,Sanjar Fayziev,23,109,18,1994,73,0,R,M
-381,RUS,Roman Safiullin,20,109,19,1997,75,185,R,M
-382,ITA,Filippo Baldi,22,109,23,1996,79,183,R,M
-383,ESP,Guillermo Olaso,30,108,14,1988,74,175,R,M
-384,FRA,Sadio Doumbia,27,107,22,1990,78,183,R,M
-385,NED,Boy Westerhof,32,106,20,1985,80,185,R,M
-386,FRA,Hugo Grenier,22,106,24,1996,85,196,R,M
-387,ESP,Eduard Esteve Lobato,23,106,25,1994,83,188,R,M
-388,ESP,Gerard Granollers,29,104,20,1989,,,,M
-389,BRA,Pedro Sakamoto,24,104,21,1993,78,180,R,M
-390,USA,Jared Hiltzik,23,104,23,1994,79,185,R,M
-391,NED,Igor Sijsling,30,103,21,1987,85,191,R,M
-392,ARG,Mariano Kestelboim,22,103,25,1996,79,188,R,M
-393,ESP,Alejandro Davidovich Fokina,18,102,16,1999,,,,M
-394,IND,Arjun Kadhe,24,102,21,1994,83,185,R,M
-395,JPN,Shintaro Imai,24,102,23,1993,74,178,R,M
-396,JPN,Renta Tokuda,20,101,16,1998,69,178,R,M
-397,BEL,Yannick Vandenbulcke,27,101,19,1990,85,193,R,M
-398,FRA,Tristan Lamasine,25,101,21,1993,69,183,R,M
-399,GBR,Brydan Klein,28,101,24,1989,83,188,R,M
-400,ESP,Jordi Samper-Montana,28,101,30,1990,,,R,M
-401,CHI,Marcelo Tomas Barrios Vera,20,100,15,1997,83,,R,M
-402,ESP,Oriol Roca Batalla,24,100,18,1993,,,R,M
-403,FRA,Fabien Reboul,22,99,20,1995,80,188,R,M
-404,GER,Daniel Masur,23,98,19,1994,79,183,R,M
-405,AUT,Lenny Hampel,21,98,27,1996,78,188,R,M
-406,ITA,Liam Caruana,20,97,17,1998,72,180,R,M
-407,CRO,Ivan Dodig,33,96,2,1985,83,183,R,M
-408,GER,Kevin Krawietz,26,96,15,1992,83,191,R,M
-409,CHI,Gonzalo Lama,24,96,17,1993,82,180,R,M
-410,ITA,Gianluca Mager,23,96,23,1994,,,,M
-411,CRO,Mate Delic,24,95,26,1993,86,196,R,M
-412,TPE,Ti Chen,34,94,28,1983,73,178,R,M
-413,SRB,Marko Tepavac,24,93,14,1994,90,193,R,M
-414,GER,Marc Sieber,30,92,19,1988,68,178,L,M
-415,JPN,Sora Fukuda,20,92,24,1997,72,183,L,M
-416,ESP,Marc Giner,26,92,25,1991,76,183,R,M
-417,FRA,Samuel Bensoussan,26,92,34,1991,,,,M
-418,AUT,Andreas Haider-Maurer,31,91,14,1987,89,191,R,M
-419,ROU,Dragos Dima,25,91,20,1992,70,180,R,M
-420,GER,Robin Kern,24,91,21,1993,87,188,R,M
-421,ITA,Riccardo Bonadio,24,91,26,1993,84,183,R,M
-422,USA,Evan Song,25,91,30,1992,75,178,L,M
-423,AUS,Alexei Popyrin,18,90,15,1999,78,196,R,M
-424,RUS,Pavel Kotov,19,90,17,1998,86,191,R,M
-425,GER,Tobias Simon,26,90,29,1991,96,198,R,M
-426,GBR,Edward Corrie,30,89,17,1988,,,,M
-427,ARG,Juan Pablo Paz,23,89,26,1995,,170,R,M
-428,GER,Daniel Brands,30,88,11,1987,92,196,R,M
-429,ITA,Adelchi Virgili,28,88,19,1990,,,,M
-430,ITA,Fabrizio Ornago,25,88,29,1992,83,191,R,M
-431,FRA,Maxime Hamou,22,87,18,1995,75,185,R,M
-432,ITA,Riccardo Bellotti,26,87,17,1991,,,R,M
-433,THA,Wishaya Trongcharoenchaikul,23,87,20,1995,,,R,M
-434,AUS,Harry Bourchier,22,87,27,1996,76,185,R,M
-435,ESP,David Perez Sanz,23,87,27,1994,,,,M
-436,PER,Juan Pablo Varillas,22,87,30,1995,78,185,R,M
-437,POL,Pawel Cias,24,86,17,1994,70,178,R,M
-438,GER,Benjamin Hassan,23,86,18,1995,85,183,R,M
-439,AUT,Thomas Statzberger,25,86,29,1992,80,183,R,M
-440,POR,Fred Gil,33,86,33,1985,75,173,R,M
-441,AUS,Aleksandar Vukic,22,85,11,1996,84,188,R,M
-442,FRA,Baptiste Crepatte,23,84,21,1994,73,185,R,M
-443,CAN,Samuel Monette,24,83,17,1994,84,180,L,M
-444,BLR,Yaraslav Shyla,25,83,18,1993,85,193,R,M
-445,ESP,Pol Toledo Bague,23,83,23,1994,71,178,R,M
-446,FRA,Corentin Denolly,20,83,23,1997,77,185,L,M
-447,SVK,Lukas Klein,20,83,24,1998,85,193,R,M
-448,BEL,Maxime Authom,31,82,17,1987,0,0,R,M
-449,ITA,Alessandro Petrone,27,82,25,1990,,,,M
-450,NOR,Viktor Durasovic,21,82,29,1997,,,,M
-451,BEL,Niels Desein,30,81,17,1987,85,191,R,M
-452,AUS,Luke Saville,24,81,20,1994,83,188,R,M
-453,BRA,Bruno Santanna,24,81,30,1993,80,175,R,M
-454,FIN,Harri Heliovaara,28,80,9,1989,82,188,R,M
-455,USA,Dennis Nevolo,28,80,15,1989,,,R,M
-456,FRA,Maxime Chazal,24,80,26,1993,71,175,R,M
-457,GER,Sebastian Fanselow,26,79,17,1991,,,,M
-458,VIE,Nam Hoang Ly,21,79,20,1997,69,175,R,M
-459,ITA,Roberto Marcora,28,79,22,1989,88,193,R,M
-460,TUN,Moez Echargui,25,79,27,1993,75,180,R,M
-461,ESP,Pablo Vivero Gonzalez,22,78,27,1995,80,193,R,M
-462,FRA,Leny Mitjana,23,78,28,1994,75,183,R,M
-463,UKR,Vladyslav Manafov,24,78,29,1993,,,,M
-464,SUI,Marco Chiudinelli,36,77,15,1981,85,185,R,M
-465,IND,N Vijay Sundar Prashanth,31,77,16,1986,75,178,R,M
-466,SRB,Nikola Cacic,27,77,19,1990,75,185,R,M
-467,BUL,Alexandar Lazov,27,77,19,1990,69,183,L,M
-468,FRA,Thomas Brechemier,21,77,22,1996,72,178,R,M
-469,TPE,Tung-Lin Wu,19,77,22,1998,75,188,R,M
-470,TUR,Altug Celikbilek,21,77,24,1996,72,185,R,M
-471,HUN,Zsombor Piros,18,76,17,1999,65,178,R,M
-472,AUT,David Pichler,22,76,25,1996,70,178,R,M
-473,ITA,Pietro Rondoni,24,76,26,1993,78,185,R,M
-474,IRL,James McGee,30,75,8,1987,80,183,R,M
-475,GBR,Tom Farquharson,26,75,13,1992,,,,M
-476,FRA,Laurent Lokoli,23,75,17,1994,,,R,M
-477,USA,Ryan Shane,24,74,16,1994,89,193,R,M
-478,GBR,Lloyd Glasspool,24,74,17,1993,85,191,R,M
-479,ISR,Igor Smilansky,23,74,23,1995,85,188,R,M
-480,ZIM,Benjamin Lock,25,74,31,1993,86,201,R,M
-481,FRA,Gianni Mina,26,73,18,1992,85,188,R,M
-482,BEL,Clement Geens,22,73,23,1996,68,180,R,M
-483,AUT,Pascal Brunner,28,72,18,1989,75,180,R,M
-484,GER,Julian Lenz,25,71,17,1993,82,188,R,M
-485,NED,Botic Van de Zandschulp,22,71,17,1995,83,188,R,M
-486,GER,Peter Torebko,30,70,20,1988,84,185,R,M
-487,IRL,Sam Barry,26,70,20,1992,83,191,R,M
-488,USA,Ulises Blanch,20,70,22,1998,78,191,R,M
-489,JPN,Kento Takeuchi,30,70,24,1987,,,,M
-490,USA,Ronnie Schneider,23,70,25,1994,70,175,R,M
-491,FRA,Jonathan Kanar,23,70,29,1994,72,180,L,M
-492,ITA,Edoardo Eremin,24,69,13,1993,95,185,R,M
-493,AUS,Blake Ellis,19,69,16,1999,75,191,R,M
-494,JPN,Shuichi Sekiguchi,26,69,19,1991,66,168,R,M
-495,ESP,Andres Artunedo Martinavarro,24,69,20,1993,75,183,R,M
-496,NED,Jelle Sels,22,69,23,1995,83,188,R,M
-497,USA,Sekou Bangoura,26,69,25,1991,77,183,R,M
-498,GER,Elmar Ejupovic,25,69,28,1993,90,193,R,M
-499,NED,Gijs Brouwer,22,68,21,1996,72,191,L,M
-500,BRA,Joao Menezes,21,68,22,1996,80,185,R,M
-1,ROU,Simona Halep,26,8140,18,1991,,168,R,F
-2,DEN,Caroline Wozniacki,27,6790,21,1990,,177,R,F
-3,ESP,Garbiñe Muguruza,24,6065,23,1993,,182,R,F
-4,UKR,Elina Svitolina,23,5630,18,1994,,174,R,F
-5,LAT,Jelena Ostapenko,20,5307,21,1997,,177,R,F
-6,CZE,Karolina Pliskova,26,4730,20,1992,,186,R,F
-7,FRA,Caroline Garcia,24,4615,23,1993,,177,R,F
-8,USA,Venus Williams,37,4276,14,1980,,185,R,F
-9,USA,Sloane Stephens,25,3938,13,1993,,170,R,F
-10,CZE,Petra Kvitova,28,3271,19,1990,,182,L,F
-11,GER,Julia Goerges,29,2980,24,1988,,180,R,F
-12,GER,Angelique Kerber,30,2971,20,1988,,173,L,F
-13,USA,Madison Keys,23,2722,17,1995,,178,R,F
-14,RUS,Daria Kasatkina,20,2570,22,1997,,170,R,F
-15,LAT,Anastasija Sevastova,28,2545,24,1990,,169,R,F
-16,USA,Coco Vandeweghe,26,2488,17,1991,,185,R,F
-17,BEL,Elise Mertens,22,2420,25,1995,,179,R,F
-18,SVK,Magdalena Rybarikova,29,2350,23,1988,,180,R,F
-19,AUS,Ashleigh Barty,21,2318,18,1996,,166,R,F
-20,FRA,Kristina Mladenovic,24,2280,29,1993,,184,R,F
-21,NED,Kiki Bertens,26,2135,26,1991,,182,R,F
-22,JPN,Naomi Osaka,20,2105,24,1997,,180,R,F
-23,GBR,Johanna Konta,26,1995,22,1991,,180,R,F
-24,AUS,Daria Gavrilova,24,1925,23,1994,,166,R,F
-25,ESP,Carla Suárez Navarro,29,1910,24,1988,,162,R,F
-26,CZE,Barbora Strycova,32,1765,24,1986,,164,R,F
-27,RUS,Anastasia Pavlyuchenkova,26,1700,24,1991,,177,R,F
-28,RUS,Svetlana Kuznetsova,32,1613,15,1985,,174,R,F
-29,POL,Agnieszka Radwanska,29,1525,20,1989,,173,R,F
-30,CHN,Shuai Zhang,29,1500,29,1989,,177,R,F
-31,EST,Anett Kontaveit,22,1475,23,1995,,174,R,F
-32,RUS,Ekaterina Makarova,29,1380,21,1988,,180,L,F
-33,SVK,Dominika Cibulkova,28,1380,21,1989,,161,R,F
-34,ROU,Sorana Cirstea,28,1355,24,1990,,176,R,F
-35,FRA,Alizé Cornet,28,1355,28,1990,,173,R,F
-36,CHN,Shuai Peng,32,1320,23,1986,,177,R,F
-37,CRO,Petra Martic,27,1291,14,1991,,181,R,F
-38,ROU,Irina-Camelia Begu,27,1270,27,1990,,181,R,F
-39,HUN,Timea Babos,24,1270,27,1993,,179,R,F
-40,ROU,Mihaela Buzarnescu,29,1263,31,1988,,175,L,F
-41,UKR,Lesia Tsurenko,28,1260,27,1989,,174,R,F
-42,RUS,Maria Sharapova,30,1257,13,1987,,188,R,F
-43,RUS,Elena Vesnina,31,1175,24,1986,,176,R,F
-44,USA,Catherine Bellis,19,1175,20,1999,,168,R,F
-45,USA,Danielle Collins,24,1137,28,1993,,178,R,F
-46,SUI,Timea Bacsinszky,28,1132,12,1989,,170,R,F
-47,BLR,Aryna Sabalenka,19,1128,23,1998,,182,R,F
-48,KAZ,Zarina Diyas,24,1123,24,1993,,172,R,F
-49,GRE,Maria Sakkari,22,1117,25,1995,,172,R,F
-50,BEL,Alison Van Uytvanck,24,1116,22,1994,,173,R,F
-51,CZE,Lucie Safarova,31,1088,18,1987,,177,L,F
-52,CZE,Katerina Siniakova,21,1075,25,1996,,174,R,F
-53,SRB,Aleksandra Krunic,25,1075,22,1993,,163,R,F
-54,CRO,Donna Vekic,21,1060,25,1996,,179,R,F
-55,CHN,Qiang Wang,26,1055,21,1992,,172,R,F
-56,BLR,Aliaksandra Sasnovich,24,1018,22,1994,,174,R,F
-57,GER,Carina Witthoeft,23,993,24,1995,,176,R,F
-58,AUS,Samantha Stosur,34,992,22,1984,,175,R,F
-59,ITA,Camila Giorgi,26,986,19,1991,,168,R,F
-60,TPE,Su-Wei Hsieh,32,975,29,1986,,169,R,F
-61,GER,Tatjana Maria,30,960,34,1987,,172,R,F
-62,EST,Kaia Kanepi,32,957,12,1985,,181,R,F
-63,BRA,Beatriz Haddad Maia,21,948,22,1996,,185,L,F
-64,ROU,Monica Niculescu,30,926,23,1987,,168,R,F
-65,GER,Mona Barthel,27,904,25,1990,,185,R,F
-66,ROU,Ana Bogdan,25,902,24,1992,,172,R,F
-67,PUR,Monica Puig,24,895,21,1993,,170,R,F
-68,UKR,Kateryna Kozlova,24,894,24,1994,,175,R,F
-69,POL,Magda Linette,26,865,27,1992,,171,R,F
-70,BEL,Kirsten Flipkens,32,846,23,1986,,165,R,F
-71,SUI,Belinda Bencic,21,844,11,1997,,175,R,F
-72,CZE,Kristyna Pliskova,26,825,26,1992,,184,L,F
-73,CZE,Marketa Vondrousova,18,822,17,1999,,172,L,F
-74,USA,Varvara Lepchenko,31,815,25,1986,,180,L,F
-75,SLO,Polona Hercog,27,789,23,1991,,185,R,F
-76,USA,Sachia Vickery,22,784,29,1995,,163,R,F
-77,GBR,Heather Watson,25,782,25,1992,,170,R,F
-78,UKR,Kateryna Bondarenko,31,775,24,1986,,175,R,F
-79,ESP,Lara Arruabarrena,26,772,26,1992,,166,R,F
-80,USA,Madison Brengle,28,767,26,1990,,168,R,F
-81,SWE,Johanna Larsson,29,765,26,1988,,174,R,F
-82,RUS,Natalia Vikhlyantseva,21,764,27,1997,,185,R,F
-83,KAZ,Yulia Putintseva,23,760,26,1995,,163,R,F
-84,SVK,Anna Karolina Schmiedlova,23,748,27,1994,,176,R,F
-85,USA,Jennifer Brady,23,746,24,1995,,178,R,F
-86,PAR,Veronica Cepede Royg,26,738,21,1992,,163,R,F
-87,USA,Sofia Kenin,19,733,28,1998,,170,R,F
-88,USA,Christina Mchale,25,730,31,1992,,170,R,F
-89,CRO,Ana Konjuh,20,718,17,1997,,174,R,F
-90,THA,Luksika Kumkhum,24,718,18,1993,,167,R,F
-91,ITA,Sara Errani,30,715,21,1987,,164,R,F
-92,USA,Bernarda Pera,23,714,23,1994,,,,F
-93,USA,Alison Riske,27,710,27,1990,,175,R,F
-94,AUS,Ajla Tomljanovic,24,700,25,1993,,180,R,F
-95,BLR,Victoria Azarenka,28,695,5,1989,,183,R,F
-96,SUI,Stefanie Voegele,28,658,19,1990,,170,R,F
-97,GER,Laura Siegemund,30,656,12,1988,,168,R,F
-98,CHN,Yafan Wang,23,651,20,1994,,170,R,F
-99,RUS,Ekaterina Alexandrova,23,649,23,1994,,,,F
-100,JPN,Kurumi Nara,26,647,32,1991,,155,R,F
-101,CZE,Denisa Allertova,25,642,18,1993,,180,R,F
-102,FRA,Oceane Dodin,21,642,22,1996,,183,R,F
-103,GER,Andrea Petkovic,30,638,25,1987,,180,R,F
-104,CHN,Yingying Duan,28,638,25,1989,,186,R,F
-105,USA,Shelby Rogers,25,619,16,1992,,175,R,F
-106,SVK,Viktoria Kuzmova,19,619,28,1998,,180,R,F
-107,BEL,Yanina Wickmayer,28,616,24,1989,,182,R,F
-108,USA,Taylor Townsend,21,605,24,1996,,170,L,F
-109,CRO,Jana Fett,21,603,29,1996,,168,R,F
-110,NED,Richel Hogenkamp,25,596,29,1992,,168,R,F
-111,BLR,Vera Lapko,19,592,25,1998,,184,R,F
-112,SWE,Rebecca Peterson,22,585,22,1995,,173,R,F
-113,RUS,Anna Blinkova,19,583,27,1998,,179,R,F
-114,USA,Kristie Ahn,25,581,26,1992,,,,F
-115,SUI,Viktorija Golubic,25,575,24,1992,,169,R,F
-116,SVK,Jana Cepelova,24,566,32,1993,,168,R,F
-117,CAN,Eugenie Bouchard,24,565,19,1994,,178,R,F
-118,RUS,Evgeniya Rodina,29,560,34,1989,,170,R,F
-119,USA,Nicole Gibbs,25,559,25,1993,,168,R,F
-120,USA,Caroline Dolehide,19,550,24,1998,,178,R,F
-121,MNE,Danka Kovinic,23,550,31,1994,,169,R,F
-122,FRA,Pauline Parmentier,32,544,29,1986,,175,R,F
-123,NED,Arantxa Rus,27,542,27,1990,,180,L,F
-124,JPN,Nao Hibino,23,529,31,1994,,163,R,F
-125,COL,Mariana Duque-Mariño,28,522,24,1989,,169,R,F
-126,USA,Lauren Davis,24,511,23,1993,,157,R,F
-127,CAN,Francoise Abanda,21,506,19,1997,,178,R,F
-128,RUS,Sofya Zhuk,18,502,19,1999,,,,F
-129,CHN,Lin Zhu,24,502,22,1994,,173,R,F
-130,SLO,Dalila Jakupovic,27,498,31,1991,,,,F
-131,AUS,Arina Rodionova,28,490,31,1989,,168,R,F
-132,ESP,Sara Sorribes Tormo,21,485,26,1996,,176,R,F
-133,BEL,Ysaline Bonaventure,23,475,27,1994,,,,F
-134,GBR,Naomi Broady,28,474,29,1990,,189,R,F
-135,SUI,Jil Teichmann,20,452,28,1997,,,,F
-136,CAN,Carol Zhao,22,451,30,1995,,,,F
-137,JPN,Miyu Kato,23,448,26,1994,,156,R,F
-138,USA,Amanda Anisimova,16,436,14,2001,,18,R,F
-139,CHN,Saisai Zheng,24,433,13,1994,,170,R,F
-140,POL,Magdalena Frech,20,421,25,1997,,,,F
-141,CZE,Barbora Krejcikova,22,414,20,1995,,178,R,F
-142,GER,Tamara Korpatsch,22,414,27,1995,,170,R,F
-143,SLO,Tamara Zidansek,20,413,20,1997,,,,F
-144,RUS,Vera Zvonareva,33,412,16,1984,,172,R,F
-145,ITA,Jasmine Paolini,22,408,30,1996,,,,F
-146,ESP,Georgina Garcia Perez,25,405,21,1992,,187,R,F
-147,RUS,Anna Kalinskaya,19,404,25,1998,,175,R,F
-148,TUN,Ons Jabeur,23,398,23,1994,,167,R,F
-149,SUI,Patty Schnyder,39,398,23,1978,,168,L,F
-150,UKR,Anhelina Kalinina,21,398,20,1997,,,,F
-151,ROU,Irina Bara,23,396,30,1995,,,,F
-152,AUS,Olivia Rogowska,26,393,23,1991,,175,R,F
-153,CRO,Mirjana Lucic-Baroni,36,390,16,1982,,181,R,F
-154,BEL,Maryna Zanevska,24,390,25,1993,,175,R,F
-155,GER,Antonia Lottner,21,388,22,1996,,185,R,F
-156,UKR,Marta Kostyuk,15,381,9,2002,,,,F
-157,ITA,Francesca Schiavone,37,381,15,1980,,166,R,F
-158,CZE,Tereza Martincova,23,375,29,1994,,179,R,F
-159,AUS,Lizette Cabrera,20,374,32,1997,,,,F
-160,GER,Sabine Lisicki,28,372,11,1989,,178,R,F
-161,UKR,Dayana Yastremska,17,371,17,2000,,,,F
-162,TUR,Cagla Buyukakcay,28,369,27,1989,,172,R,F
-163,USA,Jamie Loeb,23,368,26,1995,,168,R,F
-164,BUL,Viktoriya Tomova,23,367,27,1995,,170,R,F
-165,JPN,Misaki Doi,26,365,23,1991,,159,L,F
-166,USA,Irina Falconi,27,362,17,1990,,163,R,F
-167,CZE,Marie Bouzkova,19,361,26,1998,,180,R,F
-168,ITA,Roberta Vinci,35,359,18,1983,,163,R,F
-169,KOR,Su Jeong Jang,23,359,26,1995,,,,F
-170,ROU,Alexandra Cadantu,27,359,25,1990,,170,R,F
-171,GRE,Valentini Grammatikopoulou,21,358,28,1997,,,,F
-172,ITA,Deborah Chiesa,21,357,30,1996,,,,F
-173,CHN,Xinyun Han,27,352,28,1990,,172,L,F
-174,RUS,Vitalia Diatchenko,27,352,18,1990,,180,R,F
-175,CHI,Daniela Seguel,25,351,24,1992,,,,F
-176,CHN,Fangzhou Liu,22,343,25,1995,,,,F
-177,GBR,Gabriella Taylor,20,341,20,1998,,,,F
-178,CHN,Jing-Jing Lu,28,332,25,1989,,,,F
-179,ROU,Alexandra Dulgheru,28,331,22,1989,,172,R,F
-180,JPN,Eri Hozumi,24,329,31,1994,,168,R,F
-181,USA,Claire Liu,17,327,20,2000,,,,F
-182,LIE,Kathinka Von Deichmann,23,327,32,1994,,,,F
-183,USA,Kayla Day,18,322,24,1999,,173,L,F
-184,UZB,Sabina Sharipova,23,317,24,1994,,,,F
-185,SUI,Conny Perrin,27,310,29,1990,,174,R,F
-186,RUS,Valentyna Ivakhnenko,24,308,24,1993,,,,F
-187,AUS,Priscilla Hon,19,299,27,1998,,,,F
-188,BUL,Elitsa Kostova,28,297,34,1990,,,,F
-189,AUT,Barbara Haas,22,293,23,1996,,165,R,F
-190,TUR,Basak Eraydin,23,293,24,1994,,,,F
-191,FRA,Myrtille Georges,27,292,25,1990,,174,R,F
-192,RUS,Veronika Kudermetova,20,290,26,1997,,,,F
-193,RUS,Polina Monova,25,287,25,1993,,,,F
-194,IND,Ankita Raina,25,286,25,1993,,,,F
-195,JPN,Miharu Imanishi,25,282,31,1992,,,,F
-196,GBR,Katie Boulter,21,277,23,1996,,,,F
-197,CAN,Bianca Andreescu,17,276,20,2000,,,,F
-198,CZE,Karolina Muchova,21,276,17,1996,,,,F
-199,MEX,Renata Zarazua,20,275,26,1997,,,,F
-200,AUT,Julia Grabher,21,275,27,1996,,170,R,F
-201,USA,Bethanie Mattek-Sands,33,273,7,1985,,168,R,F
-202,ITA,Martina Trevisan,24,271,18,1993,,,,F
-203,ROU,Jaqueline Cristian,19,269,24,1998,,,,F
-204,FRA,Amandine Hesse,25,267,22,1993,,164,R,F
-205,JPN,Junri Namigata,35,267,27,1982,,,,F
-206,NOR,Ulrikke Eikeri,25,264,30,1992,,,,F
-207,ITA,Georgia Brescia,22,263,23,1996,,,,F
-208,NED,Bibiane Schoofs,29,263,29,1988,,,,F
-209,ESP,Paula Badosa Gibert,20,262,23,1997,,180,R,F
-210,NED,Lesley Kerkhove,26,260,26,1991,,172,R,F
-211,BUL,Tsvetana Pironkova,30,259,7,1987,,180,R,F
-212,AUS,Destanee Aiava,17,259,16,2000,,,,F
-213,RUS,Irina Khromacheva,22,259,25,1995,,170,L,F
-214,ITA,Jessica Pieri,20,257,25,1997,,,,F
-215,RUS,Elena Rybakina,18,255,9,1999,,,,F
-216,HUN,Fanny Stollar,19,253,27,1998,,,,F
-217,TUR,Ipek Soylu,21,252,24,1996,,174,R,F
-218,UKR,Olga Ianchuk,23,252,25,1995,,,,F
-219,USA,Grace Min,23,251,21,1994,,163,R,F
-220,ROU,Elena-Gabriela Ruse,20,250,22,1997,,,,F
-221,GBR,Laura Robson,24,249,25,1994,,180,L,F
-222,ESP,Sílvia Soler-Espinosa,30,246,27,1987,,169,R,F
-223,CRO,Tereza Mrdeza,27,244,31,1990,,173,R,F
-224,CHN,Xinyu Gao,20,243,21,1997,,,,F
-225,GBR,Harriet Dart,21,243,27,1996,,,,F
-226,TUR,Ayla Aksu,21,243,24,1996,,170,R,F
-227,USA,Victoria Duval,22,242,19,1995,,178,R,F
-228,GBR,Katy Dunne,23,242,28,1995,,,,F
-229,SVK,Michaela Honcova,25,242,29,1992,,,,F
-230,CZE,Tereza Smitkova,23,241,25,1994,,176,R,F
-231,SVK,Chantal Skamlova,24,241,25,1993,,169,R,F
-232,THA,Peangtarn Plipuech,25,241,21,1992,,,,F
-233,USA,Chiara Scholl,25,237,23,1992,,,,F
-234,CHN,Jia-Jing Lu,28,236,26,1989,,,,F
-235,USA,Francesca Di Lorenzo,20,236,21,1997,,,,F
-236,BUL,Sesil Karatantcheva,28,235,21,1989,,171,R,F
-237,JPN,Ayano Shimizu,20,233,32,1998,,,,F
-238,USA,Jacqueline Cako,26,232,29,1991,,,,F
-239,FRA,Jessika Ponchet,21,231,27,1996,,,,F
-240,ISR,Deniz Khazaniuk,23,231,24,1994,,,,F
-241,USA,Danielle Lao,26,229,22,1991,,,,F
-242,RUS,Elizaveta Kulichkova,22,229,12,1996,,1795,R,F
-243,USA,Usue Maitane Arconada,19,222,31,1998,,,,F
-244,RUS,Anastasia Potapova,17,221,15,2001,,175,R,F
-245,USA,Louisa Chirico,21,221,22,1996,,175,R,F
-246,ESP,María-Teresa Torró-Flor,25,221,24,1992,,178,R,F
-247,JPN,Mayo Hibi,22,220,24,1996,,165,R,F
-248,VEN,Andrea Gamiz,25,218,28,1992,,,,F
-249,SRB,Dejana Radanovic,21,216,25,1996,,,,F
-250,USA,Julia Boserup,26,215,23,1991,,181,R,F
-251,RUS,Victoria Kamenskaya,26,212,20,1991,,,,F
-252,AUS,Ellen Perez,22,212,19,1995,,169,L,F
-253,SRB,Olga Danilovic,17,211,12,2001,,,,F
-254,AUS,Isabelle Wallace,21,210,27,1996,,,,F
-255,USA,Asia Muhammad,27,208,24,1991,,178,R,F
-256,FRA,Sherazad Reix,29,208,27,1989,,,,F
-257,NZL,Marina Erakovic,30,206,14,1988,,174,R,F
-258,CZE,Lucie Hradecka,32,205,11,1985,,177,R,F
-259,ESP,Olga Saez Larra,23,205,29,1994,,,,F
-260,USA,Emina Bektas,25,204,24,1993,,,,F
-261,AUS,Zoe Hives,21,204,16,1996,,,,F
-262,ITA,Giulia Gatto-Monticone,30,203,27,1987,,,,F
-263,NOR,Melanie Stokke,21,202,23,1996,,,,F
-264,FRA,Fiona Ferro,21,201,21,1997,,170,R,F
-265,USA,Maria Sanchez,28,201,23,1989,,178,R,F
-266,UKR,Ganna Poznikhirenko,24,201,20,1994,,,,F
-267,JPN,Risa Ozaki,24,197,35,1994,,163,R,F
-268,IND,Karman Thandi,19,197,24,1998,,,,F
-269,HUN,Dalma Galfi,19,196,23,1998,,178,R,F
-270,AUS,Jaimee Fourlis,18,195,15,1999,,168,R,F
-271,GER,Anna Zaja,26,194,23,1991,,183,R,F
-272,ITA,Cristiana Ferrando,22,190,25,1995,,,,F
-273,UKR,Katarina Zavatska,18,190,17,2000,,,,F
-274,RUS,Valeria Savinykh,27,187,27,1991,,167,R,F
-275,FRA,Chloe Paquet,23,185,26,1994,,,,F
-276,FRA,Alizé Lim,27,184,24,1990,,173,R,F
-277,GER,Katharina Hobgarski,20,184,22,1997,,,,F
-278,CHN,Fang Ying Xun,23,183,25,1995,,,,F
-279,MEX,Ana Sofia Sánchez,24,183,23,1994,,,,F
-280,SVK,Kristina Kucova,27,182,16,1990,,163,R,F
-281,LAT,Diana Marcinkevica,25,182,28,1992,,,,F
-282,SRB,Jovana Jaksic,24,181,24,1993,,180,R,F
-283,KOR,Na-Lae Han,25,177,19,1992,,,,F
-284,RSA,Chanel Simmonds,25,177,21,1992,,,,F
-285,USA,Ashley Kratzer,19,175,22,1999,,,,F
-286,SRB,Ivana Jorovic,20,172,20,1997,,174,R,F
-287,CAN,Katherine Sebov,19,168,20,1999,,,,F
-288,MEX,Victoria Rodriguez,22,166,25,1995,,,,F
-289,USA,Sophie Chang,20,165,22,1997,,,,F
-290,ITA,Camilla Rosatello,22,164,21,1995,,,,F
-291,HUN,Greta Arn,39,163,10,1979,,180,R,F
-292,TPE,Kai-Chen Chang,27,162,21,1991,,167,R,F
-293,ITA,Anastasia Grymalska,27,159,30,1990,,,,F
-294,FRA,Audrey Albie,23,158,19,1994,,,,F
-295,NED,Quirine Lemoine,26,156,14,1991,,,,F
-296,GBR,Katie Swan,19,155,20,1999,,,,F
-297,ARG,Catalina Pella,25,155,24,1993,,,,F
-298,JPN,Erika Sema,29,154,29,1988,,,,F
-299,LUX,Mandy Minella,32,153,13,1985,,180,R,F
-300,ISR,Julia Glushko,28,153,24,1990,,171,R,F
-301,JPN,Haruka Kaji,23,153,20,1994,,,,F
-302,FRA,Tessah Andrianjafitrimo,19,152,22,1998,,169,R,F
-303,JPN,Mari Osaka,22,152,19,1996,,,,F
-304,CZE,Anastasia Zarycka,20,151,18,1998,,,,F
-305,CZE,Jesika Maleckova,23,149,25,1994,,,,F
-306,RUS,Marina Melnikova,29,148,18,1989,,173,R,F
-307,BEL,Kimberley Zimmermann,22,148,28,1995,,,,F
-308,MKD,Lina Gjorcheska,23,147,9,1994,,,,F
-309,CHN,Hanyu Guo,19,147,18,1998,,,,F
-310,RUS,Ksenia Lykina,27,146,20,1990,,165,R,F
-311,RUS,Olga Doroshina,23,146,14,1994,,,,F
-312,ITA,Stefania Rubini,25,145,26,1992,,,,F
-313,UZB,Nigina Abduraimova,23,143,13,1994,,182,R,F
-314,SRB,Nina Stojanovic,21,143,20,1996,,176,R,F
-315,JPN,Miyabi Inoue,26,143,22,1991,,,,F
-316,GEO,Ekaterine Gorgodze,26,142,23,1991,,,,F
-317,CZE,Petra Krejsova,27,141,22,1990,,,,F
-318,CRO,Tena Lukas,22,140,23,1995,,,,F
-319,FRA,Sara Cakarevic,21,139,23,1997,,,,F
-320,CHN,Yuxuan Zhang,23,138,16,1994,,179,R,F
-321,ITA,Martina Di Giuseppe,27,138,25,1991,,,,F
-322,RUS,Marta Paigina,19,138,15,1999,,,,F
-323,SUI,Amra Sadikovic,28,137,23,1989,,186,R,F
-324,HKG,Ling Zhang,28,137,23,1989,,,,F
-325,SRB,Jelena Jankovic,33,134,10,1985,,177,R,F
-326,CAN,Aleksandra Wozniak,30,134,16,1987,,175,R,F
-327,CHN,Kai-Lin Zhang,28,134,18,1990,,,,F
-328,JPN,Shuko Aoyama,30,132,18,1987,,,,F
-329,ROU,Nicoleta Dascalu,22,132,21,1995,,,,F
-330,GER,Sarah-Rebecca Sekulic,25,129,22,1992,,,,F
-331,JPN,Riko Sawayanagi,23,128,24,1994,,,,F
-332,AUS,Kimberly Birrell,19,128,25,1998,,170,R,F
-333,HUN,Agnes Bukta,24,128,24,1993,,,,F
-334,PAR,Montserrat Gonzalez,23,127,23,1994,,170,R,F
-335,JPN,Hiroko Kuwata,27,127,32,1990,,,,F
-336,JPN,Mai Minokoshi,25,127,31,1992,,,,F
-337,USA,Robin Anderson,25,126,17,1993,,,,F
-338,RUS,Alla Kudryavtseva,30,125,20,1987,,178,R,F
-339,FRA,Manon Arcangioli,23,125,31,1994,,162,R,F
-340,RUS,Anna Morgina,26,125,22,1991,,,,F
-341,GEO,Sofia Shapatava,29,125,27,1989,,,,F
-342,RUS,Amina Anshba,18,123,20,1999,,,,F
-343,ROU,Cristina Dinu,25,123,23,1993,,,,F
-344,USA,Allie Kiick,22,122,18,1995,,170,R,F
-345,COL,Emiliana Arango,17,121,12,2000,,,,F
-346,GER,Vivian Heisen,24,121,14,1993,,,,F
-347,JPN,Momoko Kobori,19,121,19,1998,,,,F
-348,AUS,Tammi Patterson,28,120,18,1990,,167,R,F
-349,BEL,Marie Benoit,23,120,24,1995,,,,F
-350,ESP,Estrella Cabeza Candela,31,119,14,1987,,173,R,F
-351,AUS,Naiktha Bains,20,118,25,1997,,,,F
-352,USA,Katerina Stewart,20,118,13,1997,,,,F
-353,RUS,Alisa Kleybanova,28,118,8,1989,,181,R,F
-354,FRA,Harmony Tan,20,117,27,1997,,,,F
-355,GRE,Despina Papamichail,25,117,23,1993,,,,F
-356,UKR,Valeriya Strakhova,22,116,26,1995,,,,F
-357,CHI,Fernanda Brito,26,116,18,1992,,,,F
-358,SVK,Rebecca Sramkova,21,114,9,1996,,179,R,F
-359,RUS,Alexandra Panova,29,114,12,1989,,179,R,F
-360,ITA,Martina Caregaro,25,114,27,1992,,,,F
-361,BUL,Isabella Shinikova,26,113,32,1991,,,,F
-362,THA,Varatchaya Wongteanchai,28,113,15,1989,,,,F
-363,PNG,Abigail Tere-Apisah,25,113,12,1992,,,,F
-364,CAN,Gabriela Dabrowski,26,112,15,1992,,,,F
-365,CHN,Xiaodi You,21,112,16,1996,,,,F
-366,CZE,Miriam Kolodziejova,21,112,14,1997,,,,F
-367,SVK,Tereza Mihalikova,19,112,27,1998,,179,R,F
-368,KAZ,Yaroslava Shvedova,30,111,7,1987,,180,R,F
-369,ITA,Gaia Sanesi,26,111,22,1992,,170,L,F
-370,GER,Anna-Lena Friedsam,24,110,8,1994,,174,R,F
-371,HUN,Panna Udvardy,19,110,25,1998,,170,R,F
-372,ITA,Federica Di Sarra,27,107,15,1990,,,,F
-373,COL,Maria Herazo Gonzalez,21,107,14,1997,,,,F
-374,TUR,Pemra Ozgen,31,107,23,1986,,170,R,F
-375,MNE,Ana Veselinovic,30,107,24,1988,,,,F
-376,RUS,Yana Sizikova,23,105,24,1994,,,,F
-377,RUS,Anastasia Frolova,23,105,16,1994,,,,F
-378,ROU,Andreea Rosca,19,105,15,1999,,,,F
-379,POL,Katarzyna Piter,27,104,25,1991,,173,R,F
-380,CZE,Monika Kilnarova,18,104,21,1999,,,,F
-381,SLO,Nastja Kolar,23,104,22,1994,,,,F
-382,USA,Jessica Pegula,24,102,14,1994,,170,R,F
-383,ROU,Raluca Serban,20,102,18,1997,,,,F
-384,USA,Jennifer Elie,31,100,23,1986,,,,F
-385,ESP,Aliona Bolsova Zadoinov,20,100,10,1997,,,,F
-386,CHN,Jiaqi Kang,20,99,23,1997,,,,F
-387,JPN,Kyoka Okamura,22,99,26,1995,,,,F
-388,JPN,Chihiro Muramatsu,19,99,24,1998,,,,F
-389,AUS,Sara Tomic,20,98,15,1998,,,,F
-390,CHN,Shilin Xu,20,98,20,1998,,,,F
-391,GER,Katharina Gerlach,20,98,19,1998,,,,F
-392,UKR,Anastasiya Vasylyeva,26,97,22,1992,,,,F
-393,JPN,Shiho Akita,28,97,17,1990,,,,F
-394,AUS,Olivia Tjandramulia,20,97,26,1997,,,,F
-395,AUS,Astra Sharma,22,97,13,1995,,,,F
-396,MEX,Marcela Zacarias,24,97,15,1994,,,,F
-397,EGY,Sandra Samir,20,97,23,1997,,,,F
-398,SRB,Natalija Kostic,23,97,24,1994,,,,F
-399,SWE,Cornelia Lister,23,96,18,1994,,183,R,F
-400,MEX,Giuliana Olmos,25,95,18,1993,,,,F
-401,RUS,Polina Leykina,23,95,20,1994,,,,F
-402,TPE,Chieh-Yu Hsu,26,95,27,1992,,,,F
-403,ARG,Nadia Podoroska,21,94,11,1997,,170,R,F
-404,UZB,Akgul Amanmuradova,33,94,17,1984,,190,R,F
-405,CHI,Alexa Guarachi,27,93,19,1990,,,,F
-406,CHN,Xuliu Sun,24,93,24,1994,,,,F
-407,ESP,Yvonne Cavalle-Reimers,25,93,21,1992,,,,F
-408,JPN,Misa Eguchi,25,92,19,1992,,173,R,F
-409,NED,Cindy Burger,25,92,18,1992,,,,F
-410,BIH,Dea Herdzelas,21,92,20,1996,,,,F
-411,KAZ,Gozal Ainitdinova,19,91,19,1998,,,,F
-412,USA,Maria Mateas,18,90,19,1999,,,,F
-413,ROU,Ilona-Georgiana Ghioroaie,20,90,16,1998,,,,F
-414,UKR,Maryna Chernyshova,18,90,18,1999,,,,F
-415,CHN,Zhaoxuan Yang,23,89,9,1995,,,,F
-416,BEL,An-Sophie Mestach,24,88,19,1994,,170,R,F
-417,ISR,Vlada Ekshibarova,29,88,22,1989,,,,F
-418,SVK,Vivien Juhaszova,24,87,21,1993,,,,F
-419,MDA,Alexandra Perper,26,87,22,1991,,,,F
-420,TPE,Ya-Hsuan Lee,22,86,12,1995,,,,F
-421,GBR,Samantha Murray,30,86,17,1987,,178,R,F
-422,FRA,Estelle Cascino,22,86,14,1996,,,,F
-423,POR,Michelle Larcher De Brito,25,85,12,1993,,165,R,F
-424,CHN,Yue Yuan,19,85,15,1998,,,,F
-425,POL,Marta Lesniak,30,85,10,1988,,,,F
-426,FRA,Elixane Lechemia,26,84,26,1991,,,,F
-427,RUS,Anastasia Gasanova,18,83,18,1999,,,,F
-428,BUL,Aleksandrina Naydenova,26,82,16,1992,,,,F
-429,USA,Sabrina Santamaria,25,82,22,1993,,,,F
-430,ESP,Rebeka Masarova,18,82,13,1999,,186,R,F
-431,ITA,Alice Matteucci,22,82,18,1995,,,,F
-432,ROU,Patricia Maria Tig,23,81,10,1994,,,,F
-433,BEL,Tamaryn Hendler,25,81,9,1992,,,,F
-434,USA,Quinn Gleason,23,80,15,1994,,,,F
-435,SUI,Lisa Sabino,31,80,19,1986,,,,F
-436,SLO,Nina Potocnik,21,80,19,1997,,,,F
-437,GER,Annika Beck,24,79,11,1994,,170,R,F
-438,JPN,Yuuki Tanaka,28,79,23,1990,,,,F
-439,SVK,Lenka Jurikova,27,79,11,1990,,,,F
-440,ITA,Lucrezia Stefanini,19,79,20,1998,,,,F
-441,BRA,Gabriela Ce,25,79,21,1993,,,,F
-442,GER,Lisa Matviyenko,20,79,21,1997,,,,F
-443,ESP,Irene Burillo Escorihuela,20,79,23,1997,,,,F
-444,TPE,Pei-Chi Lee,23,78,18,1994,,,,F
-445,ESP,Nuria Parrizas Diaz,26,78,18,1991,,,,F
-446,AUS,Seone Mendez,18,78,21,1999,,,,F
-447,BEL,Helene Scholsen,22,77,22,1996,,,,F
-448,USA,Ann Li,17,76,12,2000,,,,F
-449,USA,Serena Williams,36,75,9,1981,,175,R,F
-450,LUX,Eleonora Molinaro,17,75,11,2000,,,,F
-451,SUI,Leonie Kung,17,75,16,2000,,,,F
-452,HUN,Anna Bondar,20,75,16,1997,,,,F
-453,AUS,Alexandra Bozovic,19,75,13,1999,,,,F
-454,FRA,Priscilla Heise,27,75,18,1990,,,,F
-455,GER,Laura Schaeder,24,75,22,1993,,,,F
-456,GBR,Maia Lumsden,20,74,17,1998,,,,F
-457,FRA,Marine Partaud,23,74,18,1994,,,,F
-458,USA,Ashley Lahey,18,73,6,1999,,,,F
-459,USA,Hanna Chang,20,73,19,1998,,,,F
-460,ROU,Oana Georgeta Simion,22,73,17,1996,,,,F
-461,BRA,Nathaly Kurata,25,73,19,1993,,,,F
-462,USA,Sanaz Marand,29,72,15,1988,,,,F
-463,ITA,Martina Colmegna,21,72,17,1996,,,,F
-464,RUS,Anastasia Pribylova,22,72,20,1996,,,,F
-465,GBR,Tara Moore,25,71,26,1992,,163,R,F
-466,KOR,Sunam Jeong,21,71,10,1996,,,,F
-467,IND,Pranjala Yadlapalli,19,71,20,1999,,,,F
-468,FRA,Clothilde De Bernardi,23,71,13,1994,,,,F
-469,JPN,Rika Fujiwara,36,71,14,1981,,155,R,F
-470,ROU,Miriam Bulgaru,19,71,16,1998,,,,F
-471,CHN,Ao Gai,23,70,17,1995,,,,F
-472,JPN,Nagi Hanatani,23,70,19,1995,,,,F
-473,KOR,Na-Ri Kim,28,69,12,1990,,,,F
-474,USA,Julia Elbaba,23,69,25,1994,,,,F
-475,BRA,Laura Pigossi,23,69,20,1994,,,,F
-476,RUS,Natela Dzalamidze,25,69,6,1993,,,,F
-477,RUS,Elena Bovina,35,69,8,1983,,189,R,F
-478,ROU,Laura Ioana Andrei,29,69,21,1988,,,,F
-479,SUI,Simona Waltert,17,68,8,2000,,,,F
-480,TUR,Berfu Cengiz,18,68,16,1999,,,,F
-481,SUI,Tess Sugnaux,23,68,21,1995,,,,F
-482,THA,Bunyawi Thamchaiwat,19,68,14,1998,,,,F
-483,ROU,Irina Fetecau,21,68,15,1996,,,,F
-484,ESP,Guiomar Maristany Zuleta De Reales,19,68,18,1999,,,,F
-485,ROU,Georgia Craciun,18,67,12,1999,,,,F
-486,AUS,Alison Bai,28,67,20,1990,,,,F
-487,ESP,Marina Bassols Ribera,18,67,16,1999,,,,F
-488,GER,Julia Wachaczyk,24,67,21,1994,,,,F
-489,USA,Whitney Osuigwe,15,66,7,2002,,,,F
-490,RUS,Anastasiya Komardina,20,66,16,1997,,,,F
-491,CZE,Andrea Sestini Hlavackova,31,66,2,1986,,174,R,F
-492,CHN,Qiu Yu Ye,20,66,16,1997,,,,F
-493,USA,Naomi Cheong,15,66,6,2002,,,,F
-494,BEL,Magali Kempen,20,66,12,1997,,,,F
-495,SUI,Karin Kennel,22,66,20,1995,,,,F
-496,CHN,Xiyu Wang,17,65,8,2001,,,,F
-497,GBR,Eden Silva,22,65,19,1996,,175,R,F
-498,AUS,Jessica Moore,27,65,13,1990,,167,R,F
-499,BLR,Lidziya Marozava,25,65,5,1992,,,,F
-500,RUS,Ekaterina Kazionova,19,65,15,1999,,,,F
+ranking,country,player,age,points,tournplayed,born,weight,height,hand,gender
+1,ESP,Rafael Nadal,31,8770,14,1986,85,185,L,M
+2,SUI,Roger Federer,36,8670,17,1981,85,185,R,M
+3,CRO,Marin Cilic,29,4985,20,1988,89,198,R,M
+4,GER,Alexander Zverev,20,4925,24,1997,86,198,R,M
+5,BUL,Grigor Dimitrov,26,4635,22,1991,80,191,R,M
+6,ARG,Juan Martin del Potro,29,4470,20,1988,97,198,R,M
+7,AUT,Dominic Thiem,24,3665,25,1993,82,185,R,M
+8,RSA,Kevin Anderson,31,3390,22,1986,93,203,R,M
+9,USA,John Isner,32,3125,25,1985,108,208,R,M
+10,BEL,David Goffin,27,3110,24,1990,68,180,R,M
+11,FRA,Lucas Pouille,24,2410,24,1994,81,185,R,M
+12,ESP,Pablo Carreno Busta,26,2395,25,1991,78,188,R,M
+13,SRB,Novak Djokovic,30,2310,15,1987,77,188,R,M
+14,USA,Sam Querrey,30,2220,23,1987,95,198,R,M
+15,ARG,Diego Schwartzman,25,2220,26,1992,64,170,R,M
+16,ESP,Roberto Bautista Agut,30,2175,25,1988,76,183,R,M
+17,USA,Jack Sock,25,2155,22,1992,84,191,R,M
+18,CZE,Tomas Berdych,32,2140,19,1985,91,196,R,M
+19,KOR,Hyeon Chung,21,1897,22,1996,87,188,R,M
+20,ITA,Fabio Fognini,30,1840,24,1987,74,178,R,M
+21,SUI,Stan Wawrinka,33,1785,14,1985,81,183,R,M
+22,CAN,Milos Raonic,27,1765,20,1990,98,196,R,M
+23,GBR,Kyle Edmund,23,1757,25,1995,83,188,R,M
+24,ESP,Albert Ramos-Vinolas,30,1745,29,1988,80,188,L,M
+25,AUS,Nick Kyrgios,22,1720,19,1995,85,193,R,M
+26,FRA,Adrian Mannarino,29,1655,26,1988,70,180,L,M
+27,SRB,Filip Krajinovic,26,1616,25,1992,75,185,R,M
+28,LUX,Gilles Muller,34,1465,22,1983,89,193,L,M
+29,GBR,Andy Murray,30,1450,14,1987,84,191,R,M
+30,ESP,Feliciano Lopez,36,1420,24,1981,88,188,L,M
+31,BIH,Damir Dzumhur,25,1415,29,1992,70,175,R,M
+32,ESP,David Ferrer,36,1405,23,1982,73,175,R,M
+33,RUS,Andrey Rublev,20,1378,23,1997,70,188,R,M
+34,FRA,Richard Gasquet,31,1340,24,1986,75,185,R,M
+35,FRA,Jo-Wilfried Tsonga,32,1300,17,1985,91,188,R,M
+36,JPN,Kei Nishikori,28,1280,20,1989,75,178,R,M
+37,ESP,Fernando Verdasco,34,1280,26,1983,87,185,L,M
+38,RUS,Karen Khachanov,21,1255,26,1996,88,198,R,M
+39,CRO,Borna Coric,21,1251,23,1996,79,185,R,M
+40,GER,Philipp Kohlschreiber,34,1230,21,1983,70,178,R,M
+41,URU,Pablo Cuevas,32,1210,24,1986,80,180,R,M
+42,FRA,Gael Monfils,31,1175,21,1986,80,193,R,M
+43,JPN,Yuichi Sugita,29,1160,27,1988,70,175,R,M
+44,NED,Robin Haase,31,1120,29,1987,71,191,R,M
+45,CAN,Denis Shapovalov,19,1118,22,1999,75,183,L,M
+46,ARG,Leonardo Mayer,30,1073,22,1987,80,191,R,M
+47,USA,Tennys Sandgren,26,1033,31,1991,87,188,R,M
+48,FRA,Benoit Paire,28,1020,30,1989,80,196,R,M
+49,RUS,Daniil Medvedev,22,984,25,1996,81,198,R,M
+50,GER,Peter Gojowczyk,28,979,24,1989,83,188,R,M
+51,USA,Jared Donaldson,21,977,26,1996,75,188,R,M
+52,USA,Steve Johnson,28,975,26,1989,86,188,R,M
+53,UKR,Alexandr Dolgopolov,29,966,20,1988,71,180,R,M
+54,USA,Ryan Harrison,25,945,27,1992,84,185,R,M
+55,GER,Mischa Zverev,30,932,32,1987,88,191,L,M
+56,USA,Frances Tiafoe,20,913,24,1998,77,188,R,M
+57,FRA,Julien Benneteau,36,891,18,1981,79,185,R,M
+58,SLO,Aljaz Bedene,28,877,19,1989,72,183,R,M
+59,HUN,Marton Fucsovics,26,864,27,1992,82,188,R,M
+60,ARG,Guido Pella,27,858,25,1990,83,185,L,M
+61,GER,Jan-Lennard Struff,27,855,30,1990,87,196,R,M
+62,ITA,Andreas Seppi,34,851,25,1984,75,191,R,M
+63,ITA,Paolo Lorenzi,36,850,29,1981,77,183,R,M
+64,POR,Joao Sousa,29,830,32,1989,74,185,R,M
+65,CHI,Nicolas Jarry,22,822,23,1995,90,198,R,M
+66,USA,Taylor Fritz,20,819,25,1997,84,193,R,M
+67,ARG,Horacio Zeballos,32,798,27,1985,83,188,L,M
+68,ESP,Guillermo Garcia-Lopez,34,798,28,1983,80,185,R,M
+69,FRA,Gilles Simon,33,780,30,1984,70,183,R,M
+70,SRB,Viktor Troicki,32,775,28,1986,86,193,R,M
+71,GRE,Stefanos Tsitsipas,19,767,30,1998,83,191,R,M
+72,CZE,Jiri Vesely,24,745,26,1993,92,198,L,M
+73,GER,Maximilian Marterer,22,731,29,1995,84,191,L,M
+74,GER,Florian Mayer,34,729,23,1983,82,191,R,M
+75,ESP,Roberto Carballes Baena,25,718,31,1993,76,180,R,M
+76,CRO,Ivo Karlovic,39,715,23,1979,104,211,R,M
+77,CAN,Vasek Pospisil,27,715,25,1990,84,193,R,M
+78,AUS,Matthew Ebden,30,713,26,1987,80,188,R,M
+79,ARG,Federico Delbonis,27,710,19,1990,88,191,L,M
+80,GEO,Nikoloz Basilashvili,26,700,29,1992,79,185,R,M
+81,CYP,Marcos Baghdatis,32,699,23,1985,82,178,R,M
+82,FRA,Pierre-Hugues Herbert,27,690,25,1991,75,188,R,M
+83,IND,Yuki Bhambri,25,688,22,1992,77,183,R,M
+84,FRA,Jeremy Chardy,31,685,23,1987,75,188,R,M
+85,TUN,Malek Jaziri,34,683,34,1984,82,185,R,M
+86,ROU,Marius Copil,27,680,25,1990,87,191,R,M
+87,RUS,Evgeny Donskoy,27,673,29,1990,74,185,R,M
+88,UZB,Denis Istomin,31,673,24,1986,88,188,R,M
+89,LTU,Ricardas Berankis,27,668,30,1990,70,175,R,M
+90,ARG,Nicolas Kicker,25,650,27,1992,75,178,R,M
+91,AUS,John Millman,28,645,24,1989,79,183,R,M
+92,BIH,Mirza Basic,26,643,21,1991,88,188,R,M
+93,SRB,Dusan Lajovic,27,639,27,1990,78,183,R,M
+94,ISR,Dudi Sela,33,638,23,1985,65,175,R,M
+95,KAZ,Mikhail Kukushkin,30,634,24,1987,72,183,R,M
+96,MDA,Radu Albot,28,626,30,1989,69,175,R,M
+97,RUS,Mikhail Youzhny,35,616,28,1982,73,183,R,M
+98,TPE,Yen-Hsun Lu,34,615,16,1983,74,180,R,M
+99,AUS,Jordan Thompson,23,611,27,1994,73,183,R,M
+100,ITA,Marco Cecchinato,25,606,31,1992,78,185,R,M
+101,GER,Cedrik-Marcel Stebe,27,596,16,1990,70,183,L,M
+102,SRB,Laslo Djere,22,594,25,1995,80,185,R,M
+103,ITA,Thomas Fabbiano,28,586,27,1989,69,173,R,M
+104,GBR,Cameron Norrie,22,581,23,1995,82,188,L,M
+105,ITA,Matteo Berrettini,22,577,21,1996,85,193,R,M
+106,SVK,Lukas Lacko,30,540,26,1987,85,185,R,M
+107,USA,Bjorn Fratangelo,24,536,30,1993,79,183,R,M
+108,BEL,Ruben Bemelmans,30,523,25,1988,75,183,L,M
+109,ITA,Stefano Travaglia,26,515,25,1991,80,185,R,M
+110,POR,Gastao Elias,27,511,30,1990,76,183,R,M
+111,FRA,Nicolas Mahut,36,508,21,1982,80,191,R,M
+112,AUS,Alex de Minaur,19,505,22,1999,69,180,R,M
+113,JPN,Taro Daniel,25,501,27,1993,76,191,R,M
+114,ARG,Carlos Berlocq,35,499,29,1983,81,183,R,M
+115,AUT,Gerald Melzer,27,490,20,1990,80,188,L,M
+116,IND,Ramkumar Ramanathan,23,489,30,1994,77,188,R,M
+117,USA,Denis Kudla,25,481,25,1992,75,180,R,M
+118,FRA,Quentin Halys,21,469,23,1996,78,191,R,M
+119,POR,Pedro Sousa,29,467,20,1988,70,178,R,M
+120,GER,Yannick Hanfmann,26,465,23,1991,86,193,R,M
+121,UKR,Sergiy Stakhovsky,32,463,29,1986,80,193,R,M
+122,BLR,Ilya Ivashka,24,458,18,1994,83,191,R,M
+123,USA,Tim Smyczek,30,450,23,1987,73,175,R,M
+124,CAN,Peter Polansky,29,448,33,1988,80,183,R,M
+125,BRA,Rogerio Dutra Silva,34,442,30,1984,73,178,R,M
+126,BRA,Thiago Monteiro,23,438,27,1994,78,183,L,M
+127,SLO,Blaz Kavcic,31,433,26,1987,78,188,R,M
+128,SVK,Martin Klizan,28,431,18,1989,85,191,L,M
+129,ESP,Marcel Granollers,32,429,24,1986,77,191,R,M
+130,FRA,Calvin Hemery,23,429,28,1995,85,188,R,M
+131,USA,Donald Young,28,426,24,1989,79,183,L,M
+132,GER,Yannick Maden,28,426,26,1989,68,185,R,M
+133,SWE,Elias Ymer,22,418,26,1996,78,183,R,M
+134,GER,Oscar Otte,24,418,26,1993,77,196,R,M
+135,RUS,Andrey Kuznetsov,27,411,18,1991,71,185,R,M
+136,SUI,Henri Laaksonen,26,409,28,1992,78,185,R,M
+137,EST,Jurgen Zopp,30,408,22,1988,88,191,R,M
+138,JPN,Go Soeda,33,408,26,1984,73,178,R,M
+139,AUT,Sebastian Ofner,21,406,23,1996,81,191,R,M
+140,BEL,Steve Darcis,34,406,17,1984,77,178,R,M
+141,RUS,Alexey Vatutin,25,400,31,1992,69,178,R,M
+142,USA,Mackenzie McDonald,23,395,28,1995,73,178,R,M
+143,KAZ,Alexander Bublik,20,390,26,1997,76,196,R,M
+144,ITA,Simone Bolelli,32,389,19,1985,83,183,R,M
+145,SVK,Andrej Martin,28,386,24,1989,72,180,R,M
+146,JPN,Tatsuma Ito,29,386,26,1988,75,180,R,M
+147,SVK,Norbert Gombos,27,385,30,1990,86,193,R,M
+148,FRA,Corentin Moutet,18,384,25,1999,68,175,L,M
+149,USA,Ernesto Escobedo,21,381,25,1996,82,185,R,M
+150,AUS,Thanasi Kokkinakis,22,380,11,1996,82,196,R,M
+151,USA,Michael Mmoh,20,380,23,1998,85,185,R,M
+152,SVK,Jozef Kovalik,25,379,26,1992,82,183,R,M
+153,SRB,Janko Tipsarevic,33,376,11,1984,80,180,R,M
+154,ESP,Pablo Andujar,32,376,7,1986,76,180,R,M
+155,TPE,Jason Jung,28,376,24,1989,69,180,R,M
+156,ESP,Adrian Menendez-Maceiras,32,374,22,1985,75,183,R,M
+157,GBR,Liam Broady,24,359,21,1994,78,183,L,M
+158,GER,Mats Moraing,25,355,29,1992,84,198,L,M
+160,GER,Matthias Bachinger,31,350,19,1987,83,188,R,M
+161,ARG,Guido Andreozzi,26,346,22,1991,77,183,R,M
+162,GER,Dustin Brown,33,343,26,1984,78,196,R,M
+163,USA,Tommy Paul,20,342,18,1997,78,185,R,M
+164,ITA,Alessandro Giannessi,27,341,24,1990,82,185,L,M
+165,USA,Bradley Klahn,27,335,21,1990,75,183,L,M
+166,SLO,Blaz Rola,27,335,26,1990,85,193,L,M
+167,USA,Dennis Novikov,24,334,30,1993,91,193,R,M
+168,AUS,Akira Santillan,20,331,20,1997,78,180,R,M
+169,FRA,Stephane Robert,37,330,26,1980,77,185,R,M
+170,USA,Stefan Kozlov,20,325,24,1998,79,183,R,M
+171,DOM,Victor Estrella Burgos,37,324,26,1980,77,170,R,M
+172,USA,Kevin King,27,322,24,1991,86,191,L,M
+173,ESP,Jaume Munar,20,322,27,1997,78,183,R,M
+174,FRA,Kenny De Schepper,30,321,27,1987,104,203,L,M
+175,CAN,Felix Auger-Aliassime,17,317,21,2000,84,191,R,M
+176,AUS,Jason Kubler,24,316,18,1993,74,178,R,M
+177,AUS,Alex Bolt,25,316,22,1993,84,183,L,M
+178,POL,Jerzy Janowicz,27,315,14,1990,94,203,R,M
+179,BAR,Darian King,25,314,21,1992,77,188,R,M
+180,CAN,Filip Peliwo,24,314,28,1994,72,180,R,M
+181,ESA,Marcelo Arevalo,27,313,19,1990,86,191,R,M
+182,AUS,Bernard Tomic,25,311,18,1992,91,196,R,M
+183,CRO,Viktor Galovic,27,310,21,1990,88,193,R,M
+184,HUN,Attila Balazs,29,310,30,1988,78,180,R,M
+185,POL,Hubert Hurkacz,21,309,27,1997,79,196,R,M
+186,ESP,Nicolas Almagro,32,308,12,1985,86,183,R,M
+187,ITA,Stefano Napolitano,23,308,21,1995,89,196,R,M
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+17,BEL,Elise Mertens,22,2420,25,1995,,179,R,F
+18,SVK,Magdalena Rybarikova,29,2350,23,1988,,180,R,F
+19,AUS,Ashleigh Barty,21,2318,18,1996,,166,R,F
+20,FRA,Kristina Mladenovic,24,2280,29,1993,,184,R,F
+21,NED,Kiki Bertens,26,2135,26,1991,,182,R,F
+22,JPN,Naomi Osaka,20,2105,24,1997,,180,R,F
+23,GBR,Johanna Konta,26,1995,22,1991,,180,R,F
+24,AUS,Daria Gavrilova,24,1925,23,1994,,166,R,F
+25,ESP,Carla Suárez Navarro,29,1910,24,1988,,162,R,F
+26,CZE,Barbora Strycova,32,1765,24,1986,,164,R,F
+27,RUS,Anastasia Pavlyuchenkova,26,1700,24,1991,,177,R,F
+28,RUS,Svetlana Kuznetsova,32,1613,15,1985,,174,R,F
+29,POL,Agnieszka Radwanska,29,1525,20,1989,,173,R,F
+30,CHN,Shuai Zhang,29,1500,29,1989,,177,R,F
+31,EST,Anett Kontaveit,22,1475,23,1995,,174,R,F
+32,RUS,Ekaterina Makarova,29,1380,21,1988,,180,L,F
+33,SVK,Dominika Cibulkova,28,1380,21,1989,,161,R,F
+34,ROU,Sorana Cirstea,28,1355,24,1990,,176,R,F
+35,FRA,Alizé Cornet,28,1355,28,1990,,173,R,F
+36,CHN,Shuai Peng,32,1320,23,1986,,177,R,F
+37,CRO,Petra Martic,27,1291,14,1991,,181,R,F
+38,ROU,Irina-Camelia Begu,27,1270,27,1990,,181,R,F
+39,HUN,Timea Babos,24,1270,27,1993,,179,R,F
+40,ROU,Mihaela Buzarnescu,29,1263,31,1988,,175,L,F
+41,UKR,Lesia Tsurenko,28,1260,27,1989,,174,R,F
+42,RUS,Maria Sharapova,30,1257,13,1987,,188,R,F
+43,RUS,Elena Vesnina,31,1175,24,1986,,176,R,F
+44,USA,Catherine Bellis,19,1175,20,1999,,168,R,F
+45,USA,Danielle Collins,24,1137,28,1993,,178,R,F
+46,SUI,Timea Bacsinszky,28,1132,12,1989,,170,R,F
+47,BLR,Aryna Sabalenka,19,1128,23,1998,,182,R,F
+48,KAZ,Zarina Diyas,24,1123,24,1993,,172,R,F
+49,GRE,Maria Sakkari,22,1117,25,1995,,172,R,F
+50,BEL,Alison Van Uytvanck,24,1116,22,1994,,173,R,F
+51,CZE,Lucie Safarova,31,1088,18,1987,,177,L,F
+52,CZE,Katerina Siniakova,21,1075,25,1996,,174,R,F
+53,SRB,Aleksandra Krunic,25,1075,22,1993,,163,R,F
+54,CRO,Donna Vekic,21,1060,25,1996,,179,R,F
+55,CHN,Qiang Wang,26,1055,21,1992,,172,R,F
+56,BLR,Aliaksandra Sasnovich,24,1018,22,1994,,174,R,F
+57,GER,Carina Witthoeft,23,993,24,1995,,176,R,F
+58,AUS,Samantha Stosur,34,992,22,1984,,175,R,F
+59,ITA,Camila Giorgi,26,986,19,1991,,168,R,F
+60,TPE,Su-Wei Hsieh,32,975,29,1986,,169,R,F
+61,GER,Tatjana Maria,30,960,34,1987,,172,R,F
+62,EST,Kaia Kanepi,32,957,12,1985,,181,R,F
+63,BRA,Beatriz Haddad Maia,21,948,22,1996,,185,L,F
+64,ROU,Monica Niculescu,30,926,23,1987,,168,R,F
+65,GER,Mona Barthel,27,904,25,1990,,185,R,F
+66,ROU,Ana Bogdan,25,902,24,1992,,172,R,F
+67,PUR,Monica Puig,24,895,21,1993,,170,R,F
+68,UKR,Kateryna Kozlova,24,894,24,1994,,175,R,F
+69,POL,Magda Linette,26,865,27,1992,,171,R,F
+70,BEL,Kirsten Flipkens,32,846,23,1986,,165,R,F
+71,SUI,Belinda Bencic,21,844,11,1997,,175,R,F
+72,CZE,Kristyna Pliskova,26,825,26,1992,,184,L,F
+73,CZE,Marketa Vondrousova,18,822,17,1999,,172,L,F
+74,USA,Varvara Lepchenko,31,815,25,1986,,180,L,F
+75,SLO,Polona Hercog,27,789,23,1991,,185,R,F
+76,USA,Sachia Vickery,22,784,29,1995,,163,R,F
+77,GBR,Heather Watson,25,782,25,1992,,170,R,F
+78,UKR,Kateryna Bondarenko,31,775,24,1986,,175,R,F
+79,ESP,Lara Arruabarrena,26,772,26,1992,,166,R,F
+80,USA,Madison Brengle,28,767,26,1990,,168,R,F
+81,SWE,Johanna Larsson,29,765,26,1988,,174,R,F
+82,RUS,Natalia Vikhlyantseva,21,764,27,1997,,185,R,F
+83,KAZ,Yulia Putintseva,23,760,26,1995,,163,R,F
+84,SVK,Anna Karolina Schmiedlova,23,748,27,1994,,176,R,F
+85,USA,Jennifer Brady,23,746,24,1995,,178,R,F
+86,PAR,Veronica Cepede Royg,26,738,21,1992,,163,R,F
+87,USA,Sofia Kenin,19,733,28,1998,,170,R,F
+88,USA,Christina Mchale,25,730,31,1992,,170,R,F
+89,CRO,Ana Konjuh,20,718,17,1997,,174,R,F
+90,THA,Luksika Kumkhum,24,718,18,1993,,167,R,F
+91,ITA,Sara Errani,30,715,21,1987,,164,R,F
+93,USA,Alison Riske,27,710,27,1990,,175,R,F
+94,AUS,Ajla Tomljanovic,24,700,25,1993,,180,R,F
+95,BLR,Victoria Azarenka,28,695,5,1989,,183,R,F
+96,SUI,Stefanie Voegele,28,658,19,1990,,170,R,F
+97,GER,Laura Siegemund,30,656,12,1988,,168,R,F
+98,CHN,Yafan Wang,23,651,20,1994,,170,R,F
+100,JPN,Kurumi Nara,26,647,32,1991,,155,R,F
+101,CZE,Denisa Allertova,25,642,18,1993,,180,R,F
+102,FRA,Oceane Dodin,21,642,22,1996,,183,R,F
+103,GER,Andrea Petkovic,30,638,25,1987,,180,R,F
+104,CHN,Yingying Duan,28,638,25,1989,,186,R,F
+105,USA,Shelby Rogers,25,619,16,1992,,175,R,F
+106,SVK,Viktoria Kuzmova,19,619,28,1998,,180,R,F
+107,BEL,Yanina Wickmayer,28,616,24,1989,,182,R,F
+108,USA,Taylor Townsend,21,605,24,1996,,170,L,F
+109,CRO,Jana Fett,21,603,29,1996,,168,R,F
+110,NED,Richel Hogenkamp,25,596,29,1992,,168,R,F
+111,BLR,Vera Lapko,19,592,25,1998,,184,R,F
+112,SWE,Rebecca Peterson,22,585,22,1995,,173,R,F
+113,RUS,Anna Blinkova,19,583,27,1998,,179,R,F
+115,SUI,Viktorija Golubic,25,575,24,1992,,169,R,F
+116,SVK,Jana Cepelova,24,566,32,1993,,168,R,F
+117,CAN,Eugenie Bouchard,24,565,19,1994,,178,R,F
+118,RUS,Evgeniya Rodina,29,560,34,1989,,170,R,F
+119,USA,Nicole Gibbs,25,559,25,1993,,168,R,F
+120,USA,Caroline Dolehide,19,550,24,1998,,178,R,F
+121,MNE,Danka Kovinic,23,550,31,1994,,169,R,F
+122,FRA,Pauline Parmentier,32,544,29,1986,,175,R,F
+123,NED,Arantxa Rus,27,542,27,1990,,180,L,F
+124,JPN,Nao Hibino,23,529,31,1994,,163,R,F
+125,COL,Mariana Duque-Mariño,28,522,24,1989,,169,R,F
+126,USA,Lauren Davis,24,511,23,1993,,157,R,F
+127,CAN,Francoise Abanda,21,506,19,1997,,178,R,F
+129,CHN,Lin Zhu,24,502,22,1994,,173,R,F
+131,AUS,Arina Rodionova,28,490,31,1989,,168,R,F
+132,ESP,Sara Sorribes Tormo,21,485,26,1996,,176,R,F
+134,GBR,Naomi Broady,28,474,29,1990,,189,R,F
+137,JPN,Miyu Kato,23,448,26,1994,,156,R,F
+139,CHN,Saisai Zheng,24,433,13,1994,,170,R,F
+141,CZE,Barbora Krejcikova,22,414,20,1995,,178,R,F
+142,GER,Tamara Korpatsch,22,414,27,1995,,170,R,F
+144,RUS,Vera Zvonareva,33,412,16,1984,,172,R,F
+146,ESP,Georgina Garcia Perez,25,405,21,1992,,187,R,F
+147,RUS,Anna Kalinskaya,19,404,25,1998,,175,R,F
+148,TUN,Ons Jabeur,23,398,23,1994,,167,R,F
+149,SUI,Patty Schnyder,39,398,23,1978,,168,L,F
+152,AUS,Olivia Rogowska,26,393,23,1991,,175,R,F
+153,CRO,Mirjana Lucic-Baroni,36,390,16,1982,,181,R,F
+154,BEL,Maryna Zanevska,24,390,25,1993,,175,R,F
+155,GER,Antonia Lottner,21,388,22,1996,,185,R,F
+157,ITA,Francesca Schiavone,37,381,15,1980,,166,R,F
+158,CZE,Tereza Martincova,23,375,29,1994,,179,R,F
+160,GER,Sabine Lisicki,28,372,11,1989,,178,R,F
+162,TUR,Cagla Buyukakcay,28,369,27,1989,,172,R,F
+163,USA,Jamie Loeb,23,368,26,1995,,168,R,F
+164,BUL,Viktoriya Tomova,23,367,27,1995,,170,R,F
+165,JPN,Misaki Doi,26,365,23,1991,,159,L,F
+166,USA,Irina Falconi,27,362,17,1990,,163,R,F
+167,CZE,Marie Bouzkova,19,361,26,1998,,180,R,F
+168,ITA,Roberta Vinci,35,359,18,1983,,163,R,F
+170,ROU,Alexandra Cadantu,27,359,25,1990,,170,R,F
+173,CHN,Xinyun Han,27,352,28,1990,,172,L,F
+174,RUS,Vitalia Diatchenko,27,352,18,1990,,180,R,F
+179,ROU,Alexandra Dulgheru,28,331,22,1989,,172,R,F
+180,JPN,Eri Hozumi,24,329,31,1994,,168,R,F
+183,USA,Kayla Day,18,322,24,1999,,173,L,F
+185,SUI,Conny Perrin,27,310,29,1990,,174,R,F
+189,AUT,Barbara Haas,22,293,23,1996,,165,R,F
+191,FRA,Myrtille Georges,27,292,25,1990,,174,R,F
+200,AUT,Julia Grabher,21,275,27,1996,,170,R,F
+201,USA,Bethanie Mattek-Sands,33,273,7,1985,,168,R,F
+204,FRA,Amandine Hesse,25,267,22,1993,,164,R,F
+209,ESP,Paula Badosa Gibert,20,262,23,1997,,180,R,F
+210,NED,Lesley Kerkhove,26,260,26,1991,,172,R,F
+211,BUL,Tsvetana Pironkova,30,259,7,1987,,180,R,F
+213,RUS,Irina Khromacheva,22,259,25,1995,,170,L,F
+217,TUR,Ipek Soylu,21,252,24,1996,,174,R,F
+219,USA,Grace Min,23,251,21,1994,,163,R,F
+221,GBR,Laura Robson,24,249,25,1994,,180,L,F
+222,ESP,Sílvia Soler-Espinosa,30,246,27,1987,,169,R,F
+223,CRO,Tereza Mrdeza,27,244,31,1990,,173,R,F
+226,TUR,Ayla Aksu,21,243,24,1996,,170,R,F
+227,USA,Victoria Duval,22,242,19,1995,,178,R,F
+230,CZE,Tereza Smitkova,23,241,25,1994,,176,R,F
+231,SVK,Chantal Skamlova,24,241,25,1993,,169,R,F
+236,BUL,Sesil Karatantcheva,28,235,21,1989,,171,R,F
+242,RUS,Elizaveta Kulichkova,22,229,12,1996,,1795,R,F
+244,RUS,Anastasia Potapova,17,221,15,2001,,175,R,F
+245,USA,Louisa Chirico,21,221,22,1996,,175,R,F
+246,ESP,María-Teresa Torró-Flor,25,221,24,1992,,178,R,F
+247,JPN,Mayo Hibi,22,220,24,1996,,165,R,F
+250,USA,Julia Boserup,26,215,23,1991,,181,R,F
+252,AUS,Ellen Perez,22,212,19,1995,,169,L,F
+255,USA,Asia Muhammad,27,208,24,1991,,178,R,F
+257,NZL,Marina Erakovic,30,206,14,1988,,174,R,F
+258,CZE,Lucie Hradecka,32,205,11,1985,,177,R,F
+264,FRA,Fiona Ferro,21,201,21,1997,,170,R,F
+265,USA,Maria Sanchez,28,201,23,1989,,178,R,F
+267,JPN,Risa Ozaki,24,197,35,1994,,163,R,F
+269,HUN,Dalma Galfi,19,196,23,1998,,178,R,F
+270,AUS,Jaimee Fourlis,18,195,15,1999,,168,R,F
+271,GER,Anna Zaja,26,194,23,1991,,183,R,F
+274,RUS,Valeria Savinykh,27,187,27,1991,,167,R,F
+276,FRA,Alizé Lim,27,184,24,1990,,173,R,F
+280,SVK,Kristina Kucova,27,182,16,1990,,163,R,F
+282,SRB,Jovana Jaksic,24,181,24,1993,,180,R,F
+286,SRB,Ivana Jorovic,20,172,20,1997,,174,R,F
+291,HUN,Greta Arn,39,163,10,1979,,180,R,F
+292,TPE,Kai-Chen Chang,27,162,21,1991,,167,R,F
+299,LUX,Mandy Minella,32,153,13,1985,,180,R,F
+300,ISR,Julia Glushko,28,153,24,1990,,171,R,F
+302,FRA,Tessah Andrianjafitrimo,19,152,22,1998,,169,R,F
+306,RUS,Marina Melnikova,29,148,18,1989,,173,R,F
+310,RUS,Ksenia Lykina,27,146,20,1990,,165,R,F
+313,UZB,Nigina Abduraimova,23,143,13,1994,,182,R,F
+314,SRB,Nina Stojanovic,21,143,20,1996,,176,R,F
+320,CHN,Yuxuan Zhang,23,138,16,1994,,179,R,F
+323,SUI,Amra Sadikovic,28,137,23,1989,,186,R,F
+325,SRB,Jelena Jankovic,33,134,10,1985,,177,R,F
+326,CAN,Aleksandra Wozniak,30,134,16,1987,,175,R,F
+332,AUS,Kimberly Birrell,19,128,25,1998,,170,R,F
+334,PAR,Montserrat Gonzalez,23,127,23,1994,,170,R,F
+338,RUS,Alla Kudryavtseva,30,125,20,1987,,178,R,F
+339,FRA,Manon Arcangioli,23,125,31,1994,,162,R,F
+344,USA,Allie Kiick,22,122,18,1995,,170,R,F
+348,AUS,Tammi Patterson,28,120,18,1990,,167,R,F
+350,ESP,Estrella Cabeza Candela,31,119,14,1987,,173,R,F
+353,RUS,Alisa Kleybanova,28,118,8,1989,,181,R,F
+358,SVK,Rebecca Sramkova,21,114,9,1996,,179,R,F
+359,RUS,Alexandra Panova,29,114,12,1989,,179,R,F
+367,SVK,Tereza Mihalikova,19,112,27,1998,,179,R,F
+368,KAZ,Yaroslava Shvedova,30,111,7,1987,,180,R,F
+369,ITA,Gaia Sanesi,26,111,22,1992,,170,L,F
+370,GER,Anna-Lena Friedsam,24,110,8,1994,,174,R,F
+371,HUN,Panna Udvardy,19,110,25,1998,,170,R,F
+374,TUR,Pemra Ozgen,31,107,23,1986,,170,R,F
+379,POL,Katarzyna Piter,27,104,25,1991,,173,R,F
+382,USA,Jessica Pegula,24,102,14,1994,,170,R,F
+399,SWE,Cornelia Lister,23,96,18,1994,,183,R,F
+403,ARG,Nadia Podoroska,21,94,11,1997,,170,R,F
+404,UZB,Akgul Amanmuradova,33,94,17,1984,,190,R,F
+408,JPN,Misa Eguchi,25,92,19,1992,,173,R,F
+416,BEL,An-Sophie Mestach,24,88,19,1994,,170,R,F
+421,GBR,Samantha Murray,30,86,17,1987,,178,R,F
+423,POR,Michelle Larcher De Brito,25,85,12,1993,,165,R,F
+430,ESP,Rebeka Masarova,18,82,13,1999,,186,R,F
+437,GER,Annika Beck,24,79,11,1994,,170,R,F
+449,USA,Serena Williams,36,75,9,1981,,175,R,F
+465,GBR,Tara Moore,25,71,26,1992,,163,R,F
+469,JPN,Rika Fujiwara,36,71,14,1981,,155,R,F
+477,RUS,Elena Bovina,35,69,8,1983,,189,R,F
+491,CZE,Andrea Sestini Hlavackova,31,66,2,1986,,174,R,F
+497,GBR,Eden Silva,22,65,19,1996,,175,R,F
+498,AUS,Jessica Moore,27,65,13,1990,,167,R,F
diff --git a/wk7/tennis_data_updated_2018.csv b/wk7/tennis_data_updated_2018.csv
deleted file mode 100644
index 1dc2f14..0000000
--- a/wk7/tennis_data_updated_2018.csv
+++ /dev/null
@@ -1,702 +0,0 @@
-ranking,country,player,age,points,tournplayed,born,weight,height,hand,gender
-1,ESP,Rafael Nadal,31,8770,14,1986,85,185,L,M
-2,SUI,Roger Federer,36,8670,17,1981,85,185,R,M
-3,CRO,Marin Cilic,29,4985,20,1988,89,198,R,M
-4,GER,Alexander Zverev,20,4925,24,1997,86,198,R,M
-5,BUL,Grigor Dimitrov,26,4635,22,1991,80,191,R,M
-6,ARG,Juan Martin del Potro,29,4470,20,1988,97,198,R,M
-7,AUT,Dominic Thiem,24,3665,25,1993,82,185,R,M
-8,RSA,Kevin Anderson,31,3390,22,1986,93,203,R,M
-9,USA,John Isner,32,3125,25,1985,108,208,R,M
-10,BEL,David Goffin,27,3110,24,1990,68,180,R,M
-11,FRA,Lucas Pouille,24,2410,24,1994,81,185,R,M
-12,ESP,Pablo Carreno Busta,26,2395,25,1991,78,188,R,M
-13,SRB,Novak Djokovic,30,2310,15,1987,77,188,R,M
-14,USA,Sam Querrey,30,2220,23,1987,95,198,R,M
-15,ARG,Diego Schwartzman,25,2220,26,1992,64,170,R,M
-16,ESP,Roberto Bautista Agut,30,2175,25,1988,76,183,R,M
-17,USA,Jack Sock,25,2155,22,1992,84,191,R,M
-18,CZE,Tomas Berdych,32,2140,19,1985,91,196,R,M
-19,KOR,Hyeon Chung,21,1897,22,1996,87,188,R,M
-20,ITA,Fabio Fognini,30,1840,24,1987,74,178,R,M
-21,SUI,Stan Wawrinka,33,1785,14,1985,81,183,R,M
-22,CAN,Milos Raonic,27,1765,20,1990,98,196,R,M
-23,GBR,Kyle Edmund,23,1757,25,1995,83,188,R,M
-24,ESP,Albert Ramos-Vinolas,30,1745,29,1988,80,188,L,M
-25,AUS,Nick Kyrgios,22,1720,19,1995,85,193,R,M
-26,FRA,Adrian Mannarino,29,1655,26,1988,70,180,L,M
-27,SRB,Filip Krajinovic,26,1616,25,1992,75,185,R,M
-28,LUX,Gilles Muller,34,1465,22,1983,89,193,L,M
-29,GBR,Andy Murray,30,1450,14,1987,84,191,R,M
-30,ESP,Feliciano Lopez,36,1420,24,1981,88,188,L,M
-31,BIH,Damir Dzumhur,25,1415,29,1992,70,175,R,M
-32,ESP,David Ferrer,36,1405,23,1982,73,175,R,M
-33,RUS,Andrey Rublev,20,1378,23,1997,70,188,R,M
-34,FRA,Richard Gasquet,31,1340,24,1986,75,185,R,M
-35,FRA,Jo-Wilfried Tsonga,32,1300,17,1985,91,188,R,M
-36,JPN,Kei Nishikori,28,1280,20,1989,75,178,R,M
-37,ESP,Fernando Verdasco,34,1280,26,1983,87,185,L,M
-38,RUS,Karen Khachanov,21,1255,26,1996,88,198,R,M
-39,CRO,Borna Coric,21,1251,23,1996,79,185,R,M
-40,GER,Philipp Kohlschreiber,34,1230,21,1983,70,178,R,M
-41,URU,Pablo Cuevas,32,1210,24,1986,80,180,R,M
-42,FRA,Gael Monfils,31,1175,21,1986,80,193,R,M
-43,JPN,Yuichi Sugita,29,1160,27,1988,70,175,R,M
-44,NED,Robin Haase,31,1120,29,1987,71,191,R,M
-45,CAN,Denis Shapovalov,19,1118,22,1999,75,183,L,M
-46,ARG,Leonardo Mayer,30,1073,22,1987,80,191,R,M
-47,USA,Tennys Sandgren,26,1033,31,1991,87,188,R,M
-48,FRA,Benoit Paire,28,1020,30,1989,80,196,R,M
-49,RUS,Daniil Medvedev,22,984,25,1996,81,198,R,M
-50,GER,Peter Gojowczyk,28,979,24,1989,83,188,R,M
-51,USA,Jared Donaldson,21,977,26,1996,75,188,R,M
-52,USA,Steve Johnson,28,975,26,1989,86,188,R,M
-53,UKR,Alexandr Dolgopolov,29,966,20,1988,71,180,R,M
-54,USA,Ryan Harrison,25,945,27,1992,84,185,R,M
-55,GER,Mischa Zverev,30,932,32,1987,88,191,L,M
-56,USA,Frances Tiafoe,20,913,24,1998,77,188,R,M
-57,FRA,Julien Benneteau,36,891,18,1981,79,185,R,M
-58,SLO,Aljaz Bedene,28,877,19,1989,72,183,R,M
-59,HUN,Marton Fucsovics,26,864,27,1992,82,188,R,M
-60,ARG,Guido Pella,27,858,25,1990,83,185,L,M
-61,GER,Jan-Lennard Struff,27,855,30,1990,87,196,R,M
-62,ITA,Andreas Seppi,34,851,25,1984,75,191,R,M
-63,ITA,Paolo Lorenzi,36,850,29,1981,77,183,R,M
-64,POR,Joao Sousa,29,830,32,1989,74,185,R,M
-65,CHI,Nicolas Jarry,22,822,23,1995,90,198,R,M
-66,USA,Taylor Fritz,20,819,25,1997,84,193,R,M
-67,ARG,Horacio Zeballos,32,798,27,1985,83,188,L,M
-68,ESP,Guillermo Garcia-Lopez,34,798,28,1983,80,185,R,M
-69,FRA,Gilles Simon,33,780,30,1984,70,183,R,M
-70,SRB,Viktor Troicki,32,775,28,1986,86,193,R,M
-71,GRE,Stefanos Tsitsipas,19,767,30,1998,83,191,R,M
-72,CZE,Jiri Vesely,24,745,26,1993,92,198,L,M
-73,GER,Maximilian Marterer,22,731,29,1995,84,191,L,M
-74,GER,Florian Mayer,34,729,23,1983,82,191,R,M
-75,ESP,Roberto Carballes Baena,25,718,31,1993,76,180,R,M
-76,CRO,Ivo Karlovic,39,715,23,1979,104,211,R,M
-77,CAN,Vasek Pospisil,27,715,25,1990,84,193,R,M
-78,AUS,Matthew Ebden,30,713,26,1987,80,188,R,M
-79,ARG,Federico Delbonis,27,710,19,1990,88,191,L,M
-80,GEO,Nikoloz Basilashvili,26,700,29,1992,79,185,R,M
-81,CYP,Marcos Baghdatis,32,699,23,1985,82,178,R,M
-82,FRA,Pierre-Hugues Herbert,27,690,25,1991,75,188,R,M
-83,IND,Yuki Bhambri,25,688,22,1992,77,183,R,M
-84,FRA,Jeremy Chardy,31,685,23,1987,75,188,R,M
-85,TUN,Malek Jaziri,34,683,34,1984,82,185,R,M
-86,ROU,Marius Copil,27,680,25,1990,87,191,R,M
-87,RUS,Evgeny Donskoy,27,673,29,1990,74,185,R,M
-88,UZB,Denis Istomin,31,673,24,1986,88,188,R,M
-89,LTU,Ricardas Berankis,27,668,30,1990,70,175,R,M
-90,ARG,Nicolas Kicker,25,650,27,1992,75,178,R,M
-91,AUS,John Millman,28,645,24,1989,79,183,R,M
-92,BIH,Mirza Basic,26,643,21,1991,88,188,R,M
-93,SRB,Dusan Lajovic,27,639,27,1990,78,183,R,M
-94,ISR,Dudi Sela,33,638,23,1985,65,175,R,M
-95,KAZ,Mikhail Kukushkin,30,634,24,1987,72,183,R,M
-96,MDA,Radu Albot,28,626,30,1989,69,175,R,M
-97,RUS,Mikhail Youzhny,35,616,28,1982,73,183,R,M
-98,TPE,Yen-Hsun Lu,34,615,16,1983,74,180,R,M
-99,AUS,Jordan Thompson,23,611,27,1994,73,183,R,M
-100,ITA,Marco Cecchinato,25,606,31,1992,78,185,R,M
-101,GER,Cedrik-Marcel Stebe,27,596,16,1990,70,183,L,M
-102,SRB,Laslo Djere,22,594,25,1995,80,185,R,M
-103,ITA,Thomas Fabbiano,28,586,27,1989,69,173,R,M
-104,GBR,Cameron Norrie,22,581,23,1995,82,188,L,M
-105,ITA,Matteo Berrettini,22,577,21,1996,85,193,R,M
-106,SVK,Lukas Lacko,30,540,26,1987,85,185,R,M
-107,USA,Bjorn Fratangelo,24,536,30,1993,79,183,R,M
-108,BEL,Ruben Bemelmans,30,523,25,1988,75,183,L,M
-109,ITA,Stefano Travaglia,26,515,25,1991,80,185,R,M
-110,POR,Gastao Elias,27,511,30,1990,76,183,R,M
-111,FRA,Nicolas Mahut,36,508,21,1982,80,191,R,M
-112,AUS,Alex de Minaur,19,505,22,1999,69,180,R,M
-113,JPN,Taro Daniel,25,501,27,1993,76,191,R,M
-114,ARG,Carlos Berlocq,35,499,29,1983,81,183,R,M
-115,AUT,Gerald Melzer,27,490,20,1990,80,188,L,M
-116,IND,Ramkumar Ramanathan,23,489,30,1994,77,188,R,M
-117,USA,Denis Kudla,25,481,25,1992,75,180,R,M
-118,FRA,Quentin Halys,21,469,23,1996,78,191,R,M
-119,POR,Pedro Sousa,29,467,20,1988,70,178,R,M
-120,GER,Yannick Hanfmann,26,465,23,1991,86,193,R,M
-121,UKR,Sergiy Stakhovsky,32,463,29,1986,80,193,R,M
-122,BLR,Ilya Ivashka,24,458,18,1994,83,191,R,M
-123,USA,Tim Smyczek,30,450,23,1987,73,175,R,M
-124,CAN,Peter Polansky,29,448,33,1988,80,183,R,M
-125,BRA,Rogerio Dutra Silva,34,442,30,1984,73,178,R,M
-126,BRA,Thiago Monteiro,23,438,27,1994,78,183,L,M
-127,SLO,Blaz Kavcic,31,433,26,1987,78,188,R,M
-128,SVK,Martin Klizan,28,431,18,1989,85,191,L,M
-129,ESP,Marcel Granollers,32,429,24,1986,77,191,R,M
-130,FRA,Calvin Hemery,23,429,28,1995,85,188,R,M
-131,USA,Donald Young,28,426,24,1989,79,183,L,M
-132,GER,Yannick Maden,28,426,26,1989,68,185,R,M
-133,SWE,Elias Ymer,22,418,26,1996,78,183,R,M
-134,GER,Oscar Otte,24,418,26,1993,77,196,R,M
-135,RUS,Andrey Kuznetsov,27,411,18,1991,71,185,R,M
-136,SUI,Henri Laaksonen,26,409,28,1992,78,185,R,M
-137,EST,Jurgen Zopp,30,408,22,1988,88,191,R,M
-138,JPN,Go Soeda,33,408,26,1984,73,178,R,M
-139,AUT,Sebastian Ofner,21,406,23,1996,81,191,R,M
-140,BEL,Steve Darcis,34,406,17,1984,77,178,R,M
-141,RUS,Alexey Vatutin,25,400,31,1992,69,178,R,M
-142,USA,Mackenzie McDonald,23,395,28,1995,73,178,R,M
-143,KAZ,Alexander Bublik,20,390,26,1997,76,196,R,M
-144,ITA,Simone Bolelli,32,389,19,1985,83,183,R,M
-145,SVK,Andrej Martin,28,386,24,1989,72,180,R,M
-146,JPN,Tatsuma Ito,29,386,26,1988,75,180,R,M
-147,SVK,Norbert Gombos,27,385,30,1990,86,193,R,M
-148,FRA,Corentin Moutet,18,384,25,1999,68,175,L,M
-149,USA,Ernesto Escobedo,21,381,25,1996,82,185,R,M
-150,AUS,Thanasi Kokkinakis,22,380,11,1996,82,196,R,M
-151,USA,Michael Mmoh,20,380,23,1998,85,185,R,M
-152,SVK,Jozef Kovalik,25,379,26,1992,82,183,R,M
-153,SRB,Janko Tipsarevic,33,376,11,1984,80,180,R,M
-154,ESP,Pablo Andujar,32,376,7,1986,76,180,R,M
-155,TPE,Jason Jung,28,376,24,1989,69,180,R,M
-156,ESP,Adrian Menendez-Maceiras,32,374,22,1985,75,183,R,M
-157,GBR,Liam Broady,24,359,21,1994,78,183,L,M
-158,GER,Mats Moraing,25,355,29,1992,84,198,L,M
-160,GER,Matthias Bachinger,31,350,19,1987,83,188,R,M
-161,ARG,Guido Andreozzi,26,346,22,1991,77,183,R,M
-162,GER,Dustin Brown,33,343,26,1984,78,196,R,M
-163,USA,Tommy Paul,20,342,18,1997,78,185,R,M
-164,ITA,Alessandro Giannessi,27,341,24,1990,82,185,L,M
-165,USA,Bradley Klahn,27,335,21,1990,75,183,L,M
-166,SLO,Blaz Rola,27,335,26,1990,85,193,L,M
-167,USA,Dennis Novikov,24,334,30,1993,91,193,R,M
-168,AUS,Akira Santillan,20,331,20,1997,78,180,R,M
-169,FRA,Stephane Robert,37,330,26,1980,77,185,R,M
-170,USA,Stefan Kozlov,20,325,24,1998,79,183,R,M
-171,DOM,Victor Estrella Burgos,37,324,26,1980,77,170,R,M
-172,USA,Kevin King,27,322,24,1991,86,191,L,M
-173,ESP,Jaume Munar,20,322,27,1997,78,183,R,M
-174,FRA,Kenny De Schepper,30,321,27,1987,104,203,L,M
-175,CAN,Felix Auger-Aliassime,17,317,21,2000,84,191,R,M
-176,AUS,Jason Kubler,24,316,18,1993,74,178,R,M
-177,AUS,Alex Bolt,25,316,22,1993,84,183,L,M
-178,POL,Jerzy Janowicz,27,315,14,1990,94,203,R,M
-179,BAR,Darian King,25,314,21,1992,77,188,R,M
-180,CAN,Filip Peliwo,24,314,28,1994,72,180,R,M
-181,ESA,Marcelo Arevalo,27,313,19,1990,86,191,R,M
-182,AUS,Bernard Tomic,25,311,18,1992,91,196,R,M
-183,CRO,Viktor Galovic,27,310,21,1990,88,193,R,M
-184,HUN,Attila Balazs,29,310,30,1988,78,180,R,M
-185,POL,Hubert Hurkacz,21,309,27,1997,79,196,R,M
-186,ESP,Nicolas Almagro,32,308,12,1985,86,183,R,M
-187,ITA,Stefano Napolitano,23,308,21,1995,89,196,R,M
-188,FRA,Gleb Sakharov,29,308,28,1988,80,185,R,M
-189,ARG,Renzo Olivo,26,307,25,1992,73,180,R,M
-190,ESP,Carlos Taberner,20,307,24,1997,78,183,R,M
-191,ARG,Marco Trungelliti,28,303,19,1990,78,180,R,M
-192,USA,Evan King,26,303,31,1992,79,185,L,M
-193,LAT,Ernests Gulbis,29,302,17,1988,88,193,R,M
-194,AUT,Dennis Novak,24,294,27,1993,80,183,R,M
-195,ITA,Salvatore Caruso,25,294,28,1992,80,185,R,M
-196,ESP,Nicola Kuhn,18,292,17,2000,75,185,R,M
-197,SRB,Miomir Kecmanovic,18,292,24,1999,75,183,R,M
-198,SRB,Nikola Milojevic,22,292,25,1995,76,188,R,M
-199,CAN,Brayden Schnur,22,286,22,1995,84,193,R,M
-200,ESP,Enrique Lopez Perez,26,283,29,1991,76,180,R,M
-201,NOR,Casper Ruud,19,281,28,1998,77,183,R,M
-202,ESP,Tommy Robredo,35,281,25,1982,75,180,R,M
-203,FRA,Benjamin Bonzi,21,280,23,1996,75,183,R,M
-204,BLR,Egor Gerasimov,25,279,10,1992,84,183,R,M
-206,ESP,Ricardo Ojeda Lara,25,279,25,1993,76,180,R,M
-207,FRA,Constant Lestienne,25,273,29,1992,72,180,R,M
-208,KOR,Soonwoo Kwon,20,272,20,1997,72,180,R,M
-209,AUS,Marc Polmans,20,272,27,1997,78,188,R,M
-210,CZE,Adam Pavlasek,23,268,22,1994,76,185,R,M
-211,USA,Reilly Opelka,20,268,20,1997,100,211,R,M
-212,POR,Goncalo Oliveira,23,268,43,1995,79,185,L,M
-213,GER,Tobias Kamke,31,265,23,1986,76,178,R,M
-214,KOR,Duckhee Lee,19,262,31,1998,75,175,R,M
-215,IND,Sumit Nagal,20,260,25,1997,69,178,R,M
-216,CHI,Christian Garin,21,256,22,1996,85,185,R,M
-217,BLR,Uladzimir Ignatik,27,256,32,1990,82,183,R,M
-218,ARG,Juan Ignacio Londero,24,255,20,1993,70,180,R,M
-219,USA,Mitchell Krueger,24,252,29,1994,82,188,R,M
-220,FRA,Vincent Millot,32,251,22,1986,75,173,L,M
-221,ESP,Pedro Martinez,20,249,34,1997,70,183,R,M
-222,ITA,Andrea Arnaboldi,30,249,36,1987,72,180,L,M
-223,ARG,Facundo Bagnis,28,247,23,1990,82,183,L,M
-224,BRA,Thomaz Bellucci,30,244,19,1987,82,188,L,M
-225,CZE,Zdenek Kolar,21,244,32,1996,76,185,R,M
-226,EGY,Mohamed Safwat,27,243,24,1990,82,183,R,M
-227,BIH,Aldin Setkic,30,243,28,1987,86,191,R,M
-228,JPN,Yasutaka Uchiyama,25,242,20,1992,78,183,R,M
-229,POL,Kamil Majchrzak,22,242,24,1996,74,183,R,M
-230,GER,Dominik Koepfer,23,241,25,1994,82,180,L,M
-231,BOL,Hugo Dellien,24,237,20,1993,75,178,R,M
-232,SRB,Pedja Krstin,23,234,27,1994,73,183,R,M
-233,COL,Daniel Elahi Galan,21,233,24,1996,72,191,R,M
-234,GER,Jan Choinski,21,233,25,1996,80,196,R,M
-235,USA,Christian Harrison,23,231,24,1994,77,180,R,M
-236,GBR,Jay Clarke,19,231,23,1998,80,183,R,M
-237,ARG,Andrea Collarini,26,230,27,1992,80,185,L,M
-238,AUS,John-Patrick Smith,29,228,17,1989,84,188,L,M
-239,NED,Tallon Griekspoor,21,224,17,1996,82,188,R,M
-240,RSA,Lloyd Harris,21,223,25,1997,80,196,R,M
-241,BRA,Guilherme Clezar,25,222,24,1992,79,183,R,M
-242,KAZ,Aleksandr Nedovyesov,31,221,21,1987,81,193,R,M
-243,FRA,Antoine Hoang,22,220,26,1995,71,183,A,M
-244,TUR,Cem Ilkel,22,215,30,1995,79,185,R,M
-245,FRA,Mathias Bourgue,24,213,28,1994,83,188,R,M
-246,SRB,Danilo Petrovic,26,207,26,1992,86,203,R,M
-247,USA,Noah Rubin,22,205,17,1996,68,175,R,M
-248,CHN,Ze Zhang,27,205,19,1990,85,188,R,M
-249,CHN,Di Wu,26,204,23,1991,65,173,R,M
-250,ITA,Matteo Donati,23,204,26,1995,74,185,R,M
-251,LTU,Laurynas Grigelis,26,203,29,1991,78,183,R,M
-252,UKR,Illya Marchenko,30,202,13,1987,82,185,R,M
-253,ARG,Facundo Arguello,25,202,23,1992,77,178,R,M
-254,TPE,Tsung-Hua Yang,27,202,25,1991,80,178,R,M
-255,AUS,Max Purcell,20,201,25,1998,75,185,R,M
-256,CRO,Nino Serdarusic,21,201,32,1996,79,188,R,M
-257,CZE,Vaclav Safranek,23,199,24,1994,80,185,R,M
-258,BEL,Julien Cagnina,23,199,22,1994,70,183,R,M
-259,KAZ,Dmitry Popko,21,197,27,1996,87,191,R,M
-260,BIH,Tomislav Brkic,28,197,28,1990,80,185,R,M
-261,POR,Joao Monteiro,24,196,23,1993,77,178,R,M
-262,USA,Alexander Sarkissian,28,196,26,1990,79,191,R,M
-263,DOM,Jose Hernandez-Fernandez,28,196,26,1990,77,183,R,M
-266,IND,Prajnesh Gunneswaran,28,193,26,1989,80,188,L,M
-267,ITA,Lorenzo Giustino,26,193,29,1991,80,183,R,M
-268,FRA,David Guez,35,192,25,1982,75,185,R,M
-269,BEL,Christopher Heyman,24,192,26,1993,90,191,L,M
-270,ITA,Matteo Viola,30,192,34,1987,80,185,R,M
-271,NED,Scott Griekspoor,27,190,23,1991,80,188,R,M
-272,ESP,Daniel Gimeno-Traver,32,189,19,1985,80,183,R,M
-273,AUS,Andrew Whittington,24,188,23,1993,82,188,R,M
-274,ESP,Daniel Munoz de la Nava,36,188,18,1982,75,178,L,M
-275,ESP,Carlos Boluda-Purkiss,25,187,22,1993,69,173,R,M
-277,JPN,Yusuke Takahashi,20,185,24,1997,68,170,R,M
-279,AUS,Bradley Mousley,22,182,24,1996,82,188,R,M
-280,ECU,Roberto Quiroz,26,180,22,1992,88,193,L,M
-281,FRA,Gregoire Barrere,24,180,25,1994,83,183,R,M
-282,ARG,Hernan Casanova,24,178,27,1994,76,178,R,M
-283,ESP,Bernabe Zapata Miralles,21,178,33,1997,73,185,R,M
-284,CZE,Lukas Rosol,32,177,12,1985,83,193,R,M
-285,FRA,Maxime Janvier,21,175,24,1996,80,193,R,M
-286,AUS,Sam Groth,30,174,10,1987,100,193,R,M
-287,BEL,Arthur De Greef,26,173,21,1992,73,183,R,M
-288,CRO,Ante Pavic,29,173,21,1989,96,196,R,M
-289,FRA,Geoffrey Blancaneaux,19,172,23,1998,68,178,R,M
-290,USA,Christopher Eubanks,21,170,16,1996,82,201,R,M
-291,USA,Austin Krajicek,27,170,27,1990,79,188,L,M
-292,CRO,Franko Skugor,30,169,11,1987,96,198,R,M
-293,COL,Santiago Giraldo,30,168,13,1987,75,188,R,M
-294,SRB,Miljan Zekic,29,168,27,1988,79,185,R,M
-295,ESP,Carlos Gomez-Herrera,27,167,19,1990,85,191,R,M
-298,GER,Tommy Haas,40,165,10,1978,84,188,R,M
-299,ISR,Edan Leshem,21,163,23,1997,70,183,R,M
-300,CZE,Marek Jaloviec,24,163,30,1994,72,180,L,M
-301,RUS,Teymuraz Gabashvili,32,162,26,1985,83,188,R,M
-302,ITA,Andrea Basso,24,162,23,1993,72,185,L,M
-303,TUR,Marsel Ilhan,30,162,33,1987,80,191,R,M
-304,BUL,Dimitar Kuzmanov,24,161,23,1993,72,183,R,M
-305,BRA,Joao Souza,29,161,24,1988,92,193,R,M
-306,FRA,Ugo Humbert,19,161,28,1998,68,175,L,M
-308,COL,Alejandro Gonzalez,29,159,21,1989,83,191,R,M
-309,JPN,Hiroki Moriya,27,159,26,1990,65,170,R,M
-310,GER,Tim Puetz,30,158,11,1987,78,185,R,M
-311,NED,Thiemo de Bakker,29,157,18,1988,83,193,R,M
-312,EGY,Youssef Hossam,19,157,24,1998,75,178,R,M
-313,BEL,Kimmer Coppejans,24,156,24,1994,68,180,R,M
-314,SWE,Markus Eriksson,28,155,26,1989,80,188,R,M
-315,GBR,Alexander Ward,27,153,14,1990,85,185,R,M
-316,GER,Daniel Altmaier,19,153,17,1998,88,191,R,M
-317,AUT,Lucas Miedler,21,153,24,1996,77,180,R,M
-318,USA,Marcos Giron,24,151,23,1993,77,180,R,M
-320,ITA,Federico Gaio,26,149,24,1992,84,180,R,M
-321,RUS,Ivan Gakhov,21,149,28,1996,83,193,L,M
-322,BEL,Joris De Loore,24,148,18,1993,86,191,R,M
-323,RUS,Konstantin Kravchuk,33,147,20,1985,80,191,R,M
-324,ITA,Luca Vanni,32,147,20,1985,94,198,R,M
-325,ESP,Inigo Cervantes,28,146,19,1989,78,183,R,M
-326,RUS,Evgeny Karlovskiy,23,146,20,1994,85,191,R,M
-327,ESP,Mario Vilella Martinez,22,145,27,1995,74,178,R,M
-328,CAN,Frank Dancevic,33,144,14,1984,79,185,R,M
-329,USA,Daniel Nguyen,27,144,16,1990,73,173,R,M
-330,CAN,Steven Diez,27,143,29,1991,76,178,R,M
-331,ITA,Andrea Pellegrino,21,142,22,1997,75,185,R,M
-332,EGY,Karim-Mohamed Maamoun,27,142,29,1991,73,175,R,M
-333,CHN,Zhe Li,31,141,26,1986,77,185,R,M
-334,USA,JC Aragone,22,140,18,1995,79,178,R,M
-335,ITA,Gianluigi Quinzi,22,140,13,1996,84,191,L,M
-336,BEL,Yannick Mertens,30,140,31,1987,72,188,R,M
-337,CHN,Yibing Wu,18,139,12,1999,73,183,R,M
-338,AUS,Marinko Matosevic,32,139,16,1985,86,193,R,M
-339,DOM,Roberto Cid Subervi,24,138,13,1993,82,193,R,M
-341,ARG,Juan Pablo Ficovich,21,137,26,1997,78,191,R,M
-342,CHN,Zhizhen Zhang,21,136,19,1996,87,193,R,M
-344,ARG,Juan Ignacio Galarza,24,135,22,1994,81,183,R,M
-347,ARG,Patricio Heras,29,134,13,1989,75,183,R,M
-348,FRA,Elliot Benchetrit,19,134,24,1998,80,193,R,M
-349,FRA,Albano Olivetti,26,134,26,1991,104,203,R,M
-350,ARG,Pedro Cachin,23,133,19,1995,77,185,R,M
-352,ITA,Alessandro Bega,27,130,26,1991,68,173,R,M
-353,ITA,Gian Marco Moroni,20,127,19,1998,85,185,R,M
-354,NZL,Rubin Statham,30,127,26,1987,80,180,R,M
-357,SWE,Christian Lindell,26,126,23,1991,87,193,R,M
-358,SWE,Mikael Ymer,19,125,17,1998,75,183,R,M
-359,JPN,Yosuke Watanuki,20,125,18,1998,63,180,R,M
-360,BLR,Dzmitry Zhyrmont,29,125,21,1989,85,188,R,M
-361,ARG,Federico Coria,26,125,26,1992,73,180,R,M
-362,BRA,Joao Pedro Sorgi,24,124,24,1993,82,188,R,M
-363,COL,Cristian Rodriguez,27,123,18,1990,76,180,R,M
-364,FRA,Alexandre Muller,21,123,22,1997,73,180,R,M
-365,MON,Lucas Catarina,21,122,29,1996,80,185,R,M
-366,JPN,Yoshihito Nishioka,22,121,11,1995,64,170,L,M
-367,CZE,Jan Satral,27,121,24,1990,82,188,R,M
-368,AUS,Andrew Harris,24,120,15,1994,82,183,R,M
-372,FRA,Paul-Henri Mathieu,36,115,10,1982,74,185,R,M
-373,GER,Jeremy Jahn,28,115,24,1990,73,178,R,M
-374,ARG,Facundo Mena,25,113,17,1992,85,183,R,M
-377,AUT,Michael Linzer,28,111,19,1989,77,180,R,M
-378,USA,Raymond Sarmiento,25,110,10,1992,68,178,R,M
-379,FRA,Johan Tatlot,22,109,16,1996,80,180,R,M
-381,RUS,Roman Safiullin,20,109,19,1997,75,185,R,M
-382,ITA,Filippo Baldi,22,109,23,1996,79,183,R,M
-383,ESP,Guillermo Olaso,30,108,14,1988,74,175,R,M
-384,FRA,Sadio Doumbia,27,107,22,1990,78,183,R,M
-385,NED,Boy Westerhof,32,106,20,1985,80,185,R,M
-386,FRA,Hugo Grenier,22,106,24,1996,85,196,R,M
-387,ESP,Eduard Esteve Lobato,23,106,25,1994,83,188,R,M
-389,BRA,Pedro Sakamoto,24,104,21,1993,78,180,R,M
-390,USA,Jared Hiltzik,23,104,23,1994,79,185,R,M
-391,NED,Igor Sijsling,30,103,21,1987,85,191,R,M
-392,ARG,Mariano Kestelboim,22,103,25,1996,79,188,R,M
-394,IND,Arjun Kadhe,24,102,21,1994,83,185,R,M
-395,JPN,Shintaro Imai,24,102,23,1993,74,178,R,M
-396,JPN,Renta Tokuda,20,101,16,1998,69,178,R,M
-397,BEL,Yannick Vandenbulcke,27,101,19,1990,85,193,R,M
-398,FRA,Tristan Lamasine,25,101,21,1993,69,183,R,M
-399,GBR,Brydan Klein,28,101,24,1989,83,188,R,M
-403,FRA,Fabien Reboul,22,99,20,1995,80,188,R,M
-404,GER,Daniel Masur,23,98,19,1994,79,183,R,M
-405,AUT,Lenny Hampel,21,98,27,1996,78,188,R,M
-406,ITA,Liam Caruana,20,97,17,1998,72,180,R,M
-407,CRO,Ivan Dodig,33,96,2,1985,83,183,R,M
-408,GER,Kevin Krawietz,26,96,15,1992,83,191,R,M
-409,CHI,Gonzalo Lama,24,96,17,1993,82,180,R,M
-411,CRO,Mate Delic,24,95,26,1993,86,196,R,M
-412,TPE,Ti Chen,34,94,28,1983,73,178,R,M
-413,SRB,Marko Tepavac,24,93,14,1994,90,193,R,M
-414,GER,Marc Sieber,30,92,19,1988,68,178,L,M
-415,JPN,Sora Fukuda,20,92,24,1997,72,183,L,M
-416,ESP,Marc Giner,26,92,25,1991,76,183,R,M
-418,AUT,Andreas Haider-Maurer,31,91,14,1987,89,191,R,M
-419,ROU,Dragos Dima,25,91,20,1992,70,180,R,M
-420,GER,Robin Kern,24,91,21,1993,87,188,R,M
-421,ITA,Riccardo Bonadio,24,91,26,1993,84,183,R,M
-422,USA,Evan Song,25,91,30,1992,75,178,L,M
-423,AUS,Alexei Popyrin,18,90,15,1999,78,196,R,M
-424,RUS,Pavel Kotov,19,90,17,1998,86,191,R,M
-425,GER,Tobias Simon,26,90,29,1991,96,198,R,M
-427,ARG,Juan Pablo Paz,23,89,26,1995,,170,R,M
-428,GER,Daniel Brands,30,88,11,1987,92,196,R,M
-430,ITA,Fabrizio Ornago,25,88,29,1992,83,191,R,M
-431,FRA,Maxime Hamou,22,87,18,1995,75,185,R,M
-434,AUS,Harry Bourchier,22,87,27,1996,76,185,R,M
-436,PER,Juan Pablo Varillas,22,87,30,1995,78,185,R,M
-437,POL,Pawel Cias,24,86,17,1994,70,178,R,M
-438,GER,Benjamin Hassan,23,86,18,1995,85,183,R,M
-439,AUT,Thomas Statzberger,25,86,29,1992,80,183,R,M
-440,POR,Fred Gil,33,86,33,1985,75,173,R,M
-441,AUS,Aleksandar Vukic,22,85,11,1996,84,188,R,M
-442,FRA,Baptiste Crepatte,23,84,21,1994,73,185,R,M
-443,CAN,Samuel Monette,24,83,17,1994,84,180,L,M
-444,BLR,Yaraslav Shyla,25,83,18,1993,85,193,R,M
-445,ESP,Pol Toledo Bague,23,83,23,1994,71,178,R,M
-446,FRA,Corentin Denolly,20,83,23,1997,77,185,L,M
-447,SVK,Lukas Klein,20,83,24,1998,85,193,R,M
-451,BEL,Niels Desein,30,81,17,1987,85,191,R,M
-452,AUS,Luke Saville,24,81,20,1994,83,188,R,M
-453,BRA,Bruno Santanna,24,81,30,1993,80,175,R,M
-454,FIN,Harri Heliovaara,28,80,9,1989,82,188,R,M
-456,FRA,Maxime Chazal,24,80,26,1993,71,175,R,M
-458,VIE,Nam Hoang Ly,21,79,20,1997,69,175,R,M
-459,ITA,Roberto Marcora,28,79,22,1989,88,193,R,M
-460,TUN,Moez Echargui,25,79,27,1993,75,180,R,M
-461,ESP,Pablo Vivero Gonzalez,22,78,27,1995,80,193,R,M
-462,FRA,Leny Mitjana,23,78,28,1994,75,183,R,M
-464,SUI,Marco Chiudinelli,36,77,15,1981,85,185,R,M
-465,IND,N Vijay Sundar Prashanth,31,77,16,1986,75,178,R,M
-466,SRB,Nikola Cacic,27,77,19,1990,75,185,R,M
-467,BUL,Alexandar Lazov,27,77,19,1990,69,183,L,M
-468,FRA,Thomas Brechemier,21,77,22,1996,72,178,R,M
-469,TPE,Tung-Lin Wu,19,77,22,1998,75,188,R,M
-470,TUR,Altug Celikbilek,21,77,24,1996,72,185,R,M
-471,HUN,Zsombor Piros,18,76,17,1999,65,178,R,M
-472,AUT,David Pichler,22,76,25,1996,70,178,R,M
-473,ITA,Pietro Rondoni,24,76,26,1993,78,185,R,M
-474,IRL,James McGee,30,75,8,1987,80,183,R,M
-477,USA,Ryan Shane,24,74,16,1994,89,193,R,M
-478,GBR,Lloyd Glasspool,24,74,17,1993,85,191,R,M
-479,ISR,Igor Smilansky,23,74,23,1995,85,188,R,M
-480,ZIM,Benjamin Lock,25,74,31,1993,86,201,R,M
-481,FRA,Gianni Mina,26,73,18,1992,85,188,R,M
-482,BEL,Clement Geens,22,73,23,1996,68,180,R,M
-483,AUT,Pascal Brunner,28,72,18,1989,75,180,R,M
-484,GER,Julian Lenz,25,71,17,1993,82,188,R,M
-485,NED,Botic Van de Zandschulp,22,71,17,1995,83,188,R,M
-486,GER,Peter Torebko,30,70,20,1988,84,185,R,M
-487,IRL,Sam Barry,26,70,20,1992,83,191,R,M
-488,USA,Ulises Blanch,20,70,22,1998,78,191,R,M
-490,USA,Ronnie Schneider,23,70,25,1994,70,175,R,M
-491,FRA,Jonathan Kanar,23,70,29,1994,72,180,L,M
-492,ITA,Edoardo Eremin,24,69,13,1993,95,185,R,M
-493,AUS,Blake Ellis,19,69,16,1999,75,191,R,M
-494,JPN,Shuichi Sekiguchi,26,69,19,1991,66,168,R,M
-495,ESP,Andres Artunedo Martinavarro,24,69,20,1993,75,183,R,M
-496,NED,Jelle Sels,22,69,23,1995,83,188,R,M
-497,USA,Sekou Bangoura,26,69,25,1991,77,183,R,M
-498,GER,Elmar Ejupovic,25,69,28,1993,90,193,R,M
-499,NED,Gijs Brouwer,22,68,21,1996,72,191,L,M
-500,BRA,Joao Menezes,21,68,22,1996,80,185,R,M
-1,ROU,Simona Halep,26,8140,18,1991,,168,R,F
-2,DEN,Caroline Wozniacki,27,6790,21,1990,,177,R,F
-3,ESP,Garbiñe Muguruza,24,6065,23,1993,,182,R,F
-4,UKR,Elina Svitolina,23,5630,18,1994,,174,R,F
-5,LAT,Jelena Ostapenko,20,5307,21,1997,,177,R,F
-6,CZE,Karolina Pliskova,26,4730,20,1992,,186,R,F
-7,FRA,Caroline Garcia,24,4615,23,1993,,177,R,F
-8,USA,Venus Williams,37,4276,14,1980,,185,R,F
-9,USA,Sloane Stephens,25,3938,13,1993,,170,R,F
-10,CZE,Petra Kvitova,28,3271,19,1990,,182,L,F
-11,GER,Julia Goerges,29,2980,24,1988,,180,R,F
-12,GER,Angelique Kerber,30,2971,20,1988,,173,L,F
-13,USA,Madison Keys,23,2722,17,1995,,178,R,F
-14,RUS,Daria Kasatkina,20,2570,22,1997,,170,R,F
-15,LAT,Anastasija Sevastova,28,2545,24,1990,,169,R,F
-16,USA,Coco Vandeweghe,26,2488,17,1991,,185,R,F
-17,BEL,Elise Mertens,22,2420,25,1995,,179,R,F
-18,SVK,Magdalena Rybarikova,29,2350,23,1988,,180,R,F
-19,AUS,Ashleigh Barty,21,2318,18,1996,,166,R,F
-20,FRA,Kristina Mladenovic,24,2280,29,1993,,184,R,F
-21,NED,Kiki Bertens,26,2135,26,1991,,182,R,F
-22,JPN,Naomi Osaka,20,2105,24,1997,,180,R,F
-23,GBR,Johanna Konta,26,1995,22,1991,,180,R,F
-24,AUS,Daria Gavrilova,24,1925,23,1994,,166,R,F
-25,ESP,Carla Suárez Navarro,29,1910,24,1988,,162,R,F
-26,CZE,Barbora Strycova,32,1765,24,1986,,164,R,F
-27,RUS,Anastasia Pavlyuchenkova,26,1700,24,1991,,177,R,F
-28,RUS,Svetlana Kuznetsova,32,1613,15,1985,,174,R,F
-29,POL,Agnieszka Radwanska,29,1525,20,1989,,173,R,F
-30,CHN,Shuai Zhang,29,1500,29,1989,,177,R,F
-31,EST,Anett Kontaveit,22,1475,23,1995,,174,R,F
-32,RUS,Ekaterina Makarova,29,1380,21,1988,,180,L,F
-33,SVK,Dominika Cibulkova,28,1380,21,1989,,161,R,F
-34,ROU,Sorana Cirstea,28,1355,24,1990,,176,R,F
-35,FRA,Alizé Cornet,28,1355,28,1990,,173,R,F
-36,CHN,Shuai Peng,32,1320,23,1986,,177,R,F
-37,CRO,Petra Martic,27,1291,14,1991,,181,R,F
-38,ROU,Irina-Camelia Begu,27,1270,27,1990,,181,R,F
-39,HUN,Timea Babos,24,1270,27,1993,,179,R,F
-40,ROU,Mihaela Buzarnescu,29,1263,31,1988,,175,L,F
-41,UKR,Lesia Tsurenko,28,1260,27,1989,,174,R,F
-42,RUS,Maria Sharapova,30,1257,13,1987,,188,R,F
-43,RUS,Elena Vesnina,31,1175,24,1986,,176,R,F
-44,USA,Catherine Bellis,19,1175,20,1999,,168,R,F
-45,USA,Danielle Collins,24,1137,28,1993,,178,R,F
-46,SUI,Timea Bacsinszky,28,1132,12,1989,,170,R,F
-47,BLR,Aryna Sabalenka,19,1128,23,1998,,182,R,F
-48,KAZ,Zarina Diyas,24,1123,24,1993,,172,R,F
-49,GRE,Maria Sakkari,22,1117,25,1995,,172,R,F
-50,BEL,Alison Van Uytvanck,24,1116,22,1994,,173,R,F
-51,CZE,Lucie Safarova,31,1088,18,1987,,177,L,F
-52,CZE,Katerina Siniakova,21,1075,25,1996,,174,R,F
-53,SRB,Aleksandra Krunic,25,1075,22,1993,,163,R,F
-54,CRO,Donna Vekic,21,1060,25,1996,,179,R,F
-55,CHN,Qiang Wang,26,1055,21,1992,,172,R,F
-56,BLR,Aliaksandra Sasnovich,24,1018,22,1994,,174,R,F
-57,GER,Carina Witthoeft,23,993,24,1995,,176,R,F
-58,AUS,Samantha Stosur,34,992,22,1984,,175,R,F
-59,ITA,Camila Giorgi,26,986,19,1991,,168,R,F
-60,TPE,Su-Wei Hsieh,32,975,29,1986,,169,R,F
-61,GER,Tatjana Maria,30,960,34,1987,,172,R,F
-62,EST,Kaia Kanepi,32,957,12,1985,,181,R,F
-63,BRA,Beatriz Haddad Maia,21,948,22,1996,,185,L,F
-64,ROU,Monica Niculescu,30,926,23,1987,,168,R,F
-65,GER,Mona Barthel,27,904,25,1990,,185,R,F
-66,ROU,Ana Bogdan,25,902,24,1992,,172,R,F
-67,PUR,Monica Puig,24,895,21,1993,,170,R,F
-68,UKR,Kateryna Kozlova,24,894,24,1994,,175,R,F
-69,POL,Magda Linette,26,865,27,1992,,171,R,F
-70,BEL,Kirsten Flipkens,32,846,23,1986,,165,R,F
-71,SUI,Belinda Bencic,21,844,11,1997,,175,R,F
-72,CZE,Kristyna Pliskova,26,825,26,1992,,184,L,F
-73,CZE,Marketa Vondrousova,18,822,17,1999,,172,L,F
-74,USA,Varvara Lepchenko,31,815,25,1986,,180,L,F
-75,SLO,Polona Hercog,27,789,23,1991,,185,R,F
-76,USA,Sachia Vickery,22,784,29,1995,,163,R,F
-77,GBR,Heather Watson,25,782,25,1992,,170,R,F
-78,UKR,Kateryna Bondarenko,31,775,24,1986,,175,R,F
-79,ESP,Lara Arruabarrena,26,772,26,1992,,166,R,F
-80,USA,Madison Brengle,28,767,26,1990,,168,R,F
-81,SWE,Johanna Larsson,29,765,26,1988,,174,R,F
-82,RUS,Natalia Vikhlyantseva,21,764,27,1997,,185,R,F
-83,KAZ,Yulia Putintseva,23,760,26,1995,,163,R,F
-84,SVK,Anna Karolina Schmiedlova,23,748,27,1994,,176,R,F
-85,USA,Jennifer Brady,23,746,24,1995,,178,R,F
-86,PAR,Veronica Cepede Royg,26,738,21,1992,,163,R,F
-87,USA,Sofia Kenin,19,733,28,1998,,170,R,F
-88,USA,Christina Mchale,25,730,31,1992,,170,R,F
-89,CRO,Ana Konjuh,20,718,17,1997,,174,R,F
-90,THA,Luksika Kumkhum,24,718,18,1993,,167,R,F
-91,ITA,Sara Errani,30,715,21,1987,,164,R,F
-93,USA,Alison Riske,27,710,27,1990,,175,R,F
-94,AUS,Ajla Tomljanovic,24,700,25,1993,,180,R,F
-95,BLR,Victoria Azarenka,28,695,5,1989,,183,R,F
-96,SUI,Stefanie Voegele,28,658,19,1990,,170,R,F
-97,GER,Laura Siegemund,30,656,12,1988,,168,R,F
-98,CHN,Yafan Wang,23,651,20,1994,,170,R,F
-100,JPN,Kurumi Nara,26,647,32,1991,,155,R,F
-101,CZE,Denisa Allertova,25,642,18,1993,,180,R,F
-102,FRA,Oceane Dodin,21,642,22,1996,,183,R,F
-103,GER,Andrea Petkovic,30,638,25,1987,,180,R,F
-104,CHN,Yingying Duan,28,638,25,1989,,186,R,F
-105,USA,Shelby Rogers,25,619,16,1992,,175,R,F
-106,SVK,Viktoria Kuzmova,19,619,28,1998,,180,R,F
-107,BEL,Yanina Wickmayer,28,616,24,1989,,182,R,F
-108,USA,Taylor Townsend,21,605,24,1996,,170,L,F
-109,CRO,Jana Fett,21,603,29,1996,,168,R,F
-110,NED,Richel Hogenkamp,25,596,29,1992,,168,R,F
-111,BLR,Vera Lapko,19,592,25,1998,,184,R,F
-112,SWE,Rebecca Peterson,22,585,22,1995,,173,R,F
-113,RUS,Anna Blinkova,19,583,27,1998,,179,R,F
-115,SUI,Viktorija Golubic,25,575,24,1992,,169,R,F
-116,SVK,Jana Cepelova,24,566,32,1993,,168,R,F
-117,CAN,Eugenie Bouchard,24,565,19,1994,,178,R,F
-118,RUS,Evgeniya Rodina,29,560,34,1989,,170,R,F
-119,USA,Nicole Gibbs,25,559,25,1993,,168,R,F
-120,USA,Caroline Dolehide,19,550,24,1998,,178,R,F
-121,MNE,Danka Kovinic,23,550,31,1994,,169,R,F
-122,FRA,Pauline Parmentier,32,544,29,1986,,175,R,F
-123,NED,Arantxa Rus,27,542,27,1990,,180,L,F
-124,JPN,Nao Hibino,23,529,31,1994,,163,R,F
-125,COL,Mariana Duque-Mariño,28,522,24,1989,,169,R,F
-126,USA,Lauren Davis,24,511,23,1993,,157,R,F
-127,CAN,Francoise Abanda,21,506,19,1997,,178,R,F
-129,CHN,Lin Zhu,24,502,22,1994,,173,R,F
-131,AUS,Arina Rodionova,28,490,31,1989,,168,R,F
-132,ESP,Sara Sorribes Tormo,21,485,26,1996,,176,R,F
-134,GBR,Naomi Broady,28,474,29,1990,,189,R,F
-137,JPN,Miyu Kato,23,448,26,1994,,156,R,F
-139,CHN,Saisai Zheng,24,433,13,1994,,170,R,F
-141,CZE,Barbora Krejcikova,22,414,20,1995,,178,R,F
-142,GER,Tamara Korpatsch,22,414,27,1995,,170,R,F
-144,RUS,Vera Zvonareva,33,412,16,1984,,172,R,F
-146,ESP,Georgina Garcia Perez,25,405,21,1992,,187,R,F
-147,RUS,Anna Kalinskaya,19,404,25,1998,,175,R,F
-148,TUN,Ons Jabeur,23,398,23,1994,,167,R,F
-149,SUI,Patty Schnyder,39,398,23,1978,,168,L,F
-152,AUS,Olivia Rogowska,26,393,23,1991,,175,R,F
-153,CRO,Mirjana Lucic-Baroni,36,390,16,1982,,181,R,F
-154,BEL,Maryna Zanevska,24,390,25,1993,,175,R,F
-155,GER,Antonia Lottner,21,388,22,1996,,185,R,F
-157,ITA,Francesca Schiavone,37,381,15,1980,,166,R,F
-158,CZE,Tereza Martincova,23,375,29,1994,,179,R,F
-160,GER,Sabine Lisicki,28,372,11,1989,,178,R,F
-162,TUR,Cagla Buyukakcay,28,369,27,1989,,172,R,F
-163,USA,Jamie Loeb,23,368,26,1995,,168,R,F
-164,BUL,Viktoriya Tomova,23,367,27,1995,,170,R,F
-165,JPN,Misaki Doi,26,365,23,1991,,159,L,F
-166,USA,Irina Falconi,27,362,17,1990,,163,R,F
-167,CZE,Marie Bouzkova,19,361,26,1998,,180,R,F
-168,ITA,Roberta Vinci,35,359,18,1983,,163,R,F
-170,ROU,Alexandra Cadantu,27,359,25,1990,,170,R,F
-173,CHN,Xinyun Han,27,352,28,1990,,172,L,F
-174,RUS,Vitalia Diatchenko,27,352,18,1990,,180,R,F
-179,ROU,Alexandra Dulgheru,28,331,22,1989,,172,R,F
-180,JPN,Eri Hozumi,24,329,31,1994,,168,R,F
-183,USA,Kayla Day,18,322,24,1999,,173,L,F
-185,SUI,Conny Perrin,27,310,29,1990,,174,R,F
-189,AUT,Barbara Haas,22,293,23,1996,,165,R,F
-191,FRA,Myrtille Georges,27,292,25,1990,,174,R,F
-200,AUT,Julia Grabher,21,275,27,1996,,170,R,F
-201,USA,Bethanie Mattek-Sands,33,273,7,1985,,168,R,F
-204,FRA,Amandine Hesse,25,267,22,1993,,164,R,F
-209,ESP,Paula Badosa Gibert,20,262,23,1997,,180,R,F
-210,NED,Lesley Kerkhove,26,260,26,1991,,172,R,F
-211,BUL,Tsvetana Pironkova,30,259,7,1987,,180,R,F
-213,RUS,Irina Khromacheva,22,259,25,1995,,170,L,F
-217,TUR,Ipek Soylu,21,252,24,1996,,174,R,F
-219,USA,Grace Min,23,251,21,1994,,163,R,F
-221,GBR,Laura Robson,24,249,25,1994,,180,L,F
-222,ESP,Sílvia Soler-Espinosa,30,246,27,1987,,169,R,F
-223,CRO,Tereza Mrdeza,27,244,31,1990,,173,R,F
-226,TUR,Ayla Aksu,21,243,24,1996,,170,R,F
-227,USA,Victoria Duval,22,242,19,1995,,178,R,F
-230,CZE,Tereza Smitkova,23,241,25,1994,,176,R,F
-231,SVK,Chantal Skamlova,24,241,25,1993,,169,R,F
-236,BUL,Sesil Karatantcheva,28,235,21,1989,,171,R,F
-242,RUS,Elizaveta Kulichkova,22,229,12,1996,,1795,R,F
-244,RUS,Anastasia Potapova,17,221,15,2001,,175,R,F
-245,USA,Louisa Chirico,21,221,22,1996,,175,R,F
-246,ESP,María-Teresa Torró-Flor,25,221,24,1992,,178,R,F
-247,JPN,Mayo Hibi,22,220,24,1996,,165,R,F
-250,USA,Julia Boserup,26,215,23,1991,,181,R,F
-252,AUS,Ellen Perez,22,212,19,1995,,169,L,F
-255,USA,Asia Muhammad,27,208,24,1991,,178,R,F
-257,NZL,Marina Erakovic,30,206,14,1988,,174,R,F
-258,CZE,Lucie Hradecka,32,205,11,1985,,177,R,F
-264,FRA,Fiona Ferro,21,201,21,1997,,170,R,F
-265,USA,Maria Sanchez,28,201,23,1989,,178,R,F
-267,JPN,Risa Ozaki,24,197,35,1994,,163,R,F
-269,HUN,Dalma Galfi,19,196,23,1998,,178,R,F
-270,AUS,Jaimee Fourlis,18,195,15,1999,,168,R,F
-271,GER,Anna Zaja,26,194,23,1991,,183,R,F
-274,RUS,Valeria Savinykh,27,187,27,1991,,167,R,F
-276,FRA,Alizé Lim,27,184,24,1990,,173,R,F
-280,SVK,Kristina Kucova,27,182,16,1990,,163,R,F
-282,SRB,Jovana Jaksic,24,181,24,1993,,180,R,F
-286,SRB,Ivana Jorovic,20,172,20,1997,,174,R,F
-291,HUN,Greta Arn,39,163,10,1979,,180,R,F
-292,TPE,Kai-Chen Chang,27,162,21,1991,,167,R,F
-299,LUX,Mandy Minella,32,153,13,1985,,180,R,F
-300,ISR,Julia Glushko,28,153,24,1990,,171,R,F
-302,FRA,Tessah Andrianjafitrimo,19,152,22,1998,,169,R,F
-306,RUS,Marina Melnikova,29,148,18,1989,,173,R,F
-310,RUS,Ksenia Lykina,27,146,20,1990,,165,R,F
-313,UZB,Nigina Abduraimova,23,143,13,1994,,182,R,F
-314,SRB,Nina Stojanovic,21,143,20,1996,,176,R,F
-320,CHN,Yuxuan Zhang,23,138,16,1994,,179,R,F
-323,SUI,Amra Sadikovic,28,137,23,1989,,186,R,F
-325,SRB,Jelena Jankovic,33,134,10,1985,,177,R,F
-326,CAN,Aleksandra Wozniak,30,134,16,1987,,175,R,F
-332,AUS,Kimberly Birrell,19,128,25,1998,,170,R,F
-334,PAR,Montserrat Gonzalez,23,127,23,1994,,170,R,F
-338,RUS,Alla Kudryavtseva,30,125,20,1987,,178,R,F
-339,FRA,Manon Arcangioli,23,125,31,1994,,162,R,F
-344,USA,Allie Kiick,22,122,18,1995,,170,R,F
-348,AUS,Tammi Patterson,28,120,18,1990,,167,R,F
-350,ESP,Estrella Cabeza Candela,31,119,14,1987,,173,R,F
-353,RUS,Alisa Kleybanova,28,118,8,1989,,181,R,F
-358,SVK,Rebecca Sramkova,21,114,9,1996,,179,R,F
-359,RUS,Alexandra Panova,29,114,12,1989,,179,R,F
-367,SVK,Tereza Mihalikova,19,112,27,1998,,179,R,F
-368,KAZ,Yaroslava Shvedova,30,111,7,1987,,180,R,F
-369,ITA,Gaia Sanesi,26,111,22,1992,,170,L,F
-370,GER,Anna-Lena Friedsam,24,110,8,1994,,174,R,F
-371,HUN,Panna Udvardy,19,110,25,1998,,170,R,F
-374,TUR,Pemra Ozgen,31,107,23,1986,,170,R,F
-379,POL,Katarzyna Piter,27,104,25,1991,,173,R,F
-382,USA,Jessica Pegula,24,102,14,1994,,170,R,F
-399,SWE,Cornelia Lister,23,96,18,1994,,183,R,F
-403,ARG,Nadia Podoroska,21,94,11,1997,,170,R,F
-404,UZB,Akgul Amanmuradova,33,94,17,1984,,190,R,F
-408,JPN,Misa Eguchi,25,92,19,1992,,173,R,F
-416,BEL,An-Sophie Mestach,24,88,19,1994,,170,R,F
-421,GBR,Samantha Murray,30,86,17,1987,,178,R,F
-423,POR,Michelle Larcher De Brito,25,85,12,1993,,165,R,F
-430,ESP,Rebeka Masarova,18,82,13,1999,,186,R,F
-437,GER,Annika Beck,24,79,11,1994,,170,R,F
-449,USA,Serena Williams,36,75,9,1981,,175,R,F
-465,GBR,Tara Moore,25,71,26,1992,,163,R,F
-469,JPN,Rika Fujiwara,36,71,14,1981,,155,R,F
-477,RUS,Elena Bovina,35,69,8,1983,,189,R,F
-491,CZE,Andrea Sestini Hlavackova,31,66,2,1986,,174,R,F
-497,GBR,Eden Silva,22,65,19,1996,,175,R,F
-498,AUS,Jessica Moore,27,65,13,1990,,167,R,F
diff --git a/wk7/wk7.ipynb b/wk7/wk7.ipynb
index 05462e0..164200c 100644
--- a/wk7/wk7.ipynb
+++ b/wk7/wk7.ipynb
@@ -16,318 +16,132 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Using matplotlib backend: Qt5Agg\n",
+      "Using matplotlib backend: MacOSX\n",
       "Populating the interactive namespace from numpy and matplotlib\n"
      ]
     }
    ],
    "source": [
     "%pylab\n",
-    "%matplotlib inline"
+    "%matplotlib inline\n",
+    "import pandas as pd\n",
+    "import seaborn as sn\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from scipy import stats\n",
+    "\n",
+    "data = pd.read_csv(\"tennis.csv\")"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "import seaborn as sn\n",
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "from scipy import stats"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = pd.read_csv(\"tennis.csv\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'pandas.core.frame.DataFrame'>\n",
-      "RangeIndex: 1000 entries, 0 to 999\n",
-      "Data columns (total 11 columns):\n",
-      "ranking        1000 non-null int64\n",
-      "country        1000 non-null object\n",
-      "player         1000 non-null object\n",
-      "age            1000 non-null int64\n",
-      "points         1000 non-null int64\n",
-      "tournplayed    1000 non-null int64\n",
-      "born           1000 non-null int64\n",
-      "weight         462 non-null float64\n",
-      "height         704 non-null float64\n",
-      "hand           723 non-null object\n",
-      "gender         1000 non-null object\n",
-      "dtypes: float64(2), int64(5), object(4)\n",
-      "memory usage: 86.0+ KB\n"
-     ]
-    }
-   ],
-   "source": [
-    "df.info()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>ranking</th>\n",
-       "      <th>country</th>\n",
-       "      <th>player</th>\n",
-       "      <th>age</th>\n",
-       "      <th>points</th>\n",
-       "      <th>tournplayed</th>\n",
-       "      <th>born</th>\n",
-       "      <th>weight</th>\n",
-       "      <th>height</th>\n",
-       "      <th>hand</th>\n",
-       "      <th>gender</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>ESP</td>\n",
-       "      <td>Rafael Nadal</td>\n",
-       "      <td>31</td>\n",
-       "      <td>8770</td>\n",
-       "      <td>14</td>\n",
-       "      <td>1986</td>\n",
-       "      <td>85.0</td>\n",
-       "      <td>185.0</td>\n",
-       "      <td>L</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2</td>\n",
-       "      <td>SUI</td>\n",
-       "      <td>Roger Federer</td>\n",
-       "      <td>36</td>\n",
-       "      <td>8670</td>\n",
-       "      <td>17</td>\n",
-       "      <td>1981</td>\n",
-       "      <td>85.0</td>\n",
-       "      <td>185.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3</td>\n",
-       "      <td>CRO</td>\n",
-       "      <td>Marin Cilic</td>\n",
-       "      <td>29</td>\n",
-       "      <td>4985</td>\n",
-       "      <td>20</td>\n",
-       "      <td>1988</td>\n",
-       "      <td>89.0</td>\n",
-       "      <td>198.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4</td>\n",
-       "      <td>GER</td>\n",
-       "      <td>Alexander Zverev</td>\n",
-       "      <td>20</td>\n",
-       "      <td>4925</td>\n",
-       "      <td>24</td>\n",
-       "      <td>1997</td>\n",
-       "      <td>86.0</td>\n",
-       "      <td>198.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5</td>\n",
-       "      <td>BUL</td>\n",
-       "      <td>Grigor Dimitrov</td>\n",
-       "      <td>26</td>\n",
-       "      <td>4635</td>\n",
-       "      <td>22</td>\n",
-       "      <td>1991</td>\n",
-       "      <td>80.0</td>\n",
-       "      <td>191.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   ranking country            player  age  points  tournplayed  born  weight  \\\n",
-       "0        1     ESP      Rafael Nadal   31    8770           14  1986    85.0   \n",
-       "1        2     SUI     Roger Federer   36    8670           17  1981    85.0   \n",
-       "2        3     CRO       Marin Cilic   29    4985           20  1988    89.0   \n",
-       "3        4     GER  Alexander Zverev   20    4925           24  1997    86.0   \n",
-       "4        5     BUL   Grigor Dimitrov   26    4635           22  1991    80.0   \n",
-       "\n",
-       "   height hand gender  \n",
-       "0   185.0    L      M  \n",
-       "1   185.0    R      M  \n",
-       "2   198.0    R      M  \n",
-       "3   198.0    R      M  \n",
-       "4   191.0    R      M  "
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
    "outputs": [
     {
      "data": {
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-       "            background-color:  #23888e;\n",
-       "        }    #T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row5_col3 {\n",
-       "            background-color:  #443b84;\n",
-       "        }    #T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row5_col4 {\n",
-       "            background-color:  #26828e;\n",
-       "        }    #T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row5_col5 {\n",
-       "            background-color:  #fde725;\n",
-       "        }    #T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row5_col6 {\n",
-       "            background-color:  #31b57b;\n",
-       "        }    #T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row6_col0 {\n",
-       "            background-color:  #2c728e;\n",
-       "        }    #T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row6_col1 {\n",
-       "            background-color:  #228d8d;\n",
-       "        }    #T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row6_col2 {\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row2_col6 {\n",
+       "            background-color:  #481467;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row3_col0 {\n",
+       "            background-color:  #3f4889;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row3_col1 {\n",
+       "            background-color:  #277f8e;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row3_col2 {\n",
        "            background-color:  #2d708e;\n",
-       "        }    #T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row6_col3 {\n",
-       "            background-color:  #414487;\n",
-       "        }    #T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row6_col4 {\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row3_col3 {\n",
+       "            background-color:  #fde725;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row3_col4 {\n",
+       "            background-color:  #1fa088;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row3_col5 {\n",
+       "            background-color:  #46085c;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row3_col6 {\n",
+       "            background-color:  #440154;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row4_col0 {\n",
+       "            background-color:  #228b8d;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row4_col1 {\n",
+       "            background-color:  #440154;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row4_col2 {\n",
+       "            background-color:  #365c8d;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row4_col3 {\n",
+       "            background-color:  #34608d;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row4_col4 {\n",
+       "            background-color:  #fde725;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row4_col5 {\n",
+       "            background-color:  #440154;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row4_col6 {\n",
+       "            background-color:  #482475;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row5_col0 {\n",
+       "            background-color:  #32648e;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row5_col1 {\n",
+       "            background-color:  #1fa287;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row5_col2 {\n",
+       "            background-color:  #23898e;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row5_col3 {\n",
+       "            background-color:  #481f70;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row5_col4 {\n",
+       "            background-color:  #287c8e;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row5_col5 {\n",
+       "            background-color:  #fde725;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row5_col6 {\n",
+       "            background-color:  #6ccd5a;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row6_col0 {\n",
+       "            background-color:  #2c738e;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row6_col1 {\n",
+       "            background-color:  #228d8d;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row6_col2 {\n",
+       "            background-color:  #2e6f8e;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row6_col3 {\n",
+       "            background-color:  #46307e;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row6_col4 {\n",
        "            background-color:  #20938c;\n",
-       "        }    #T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row6_col5 {\n",
-       "            background-color:  #38b977;\n",
-       "        }    #T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row6_col6 {\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row6_col5 {\n",
+       "            background-color:  #75d054;\n",
+       "        }    #T_85bdf18c_4c33_11e8_ad01_32001d384000row6_col6 {\n",
        "            background-color:  #fde725;\n",
        "        }</style>  \n",
-       "<table id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6\" > \n",
+       "<table id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000\" > \n",
        "<thead>    <tr> \n",
        "        <th class=\"blank level0\" ></th> \n",
        "        <th class=\"col_heading level0 col0\" >ranking</th> \n",
@@ -339,129 +153,82 @@
        "        <th class=\"col_heading level0 col6\" >height</th> \n",
        "    </tr></thead> \n",
        "<tbody>    <tr> \n",
-       "        <th id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6level0_row0\" class=\"row_heading level0 row0\" >ranking</th> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row0_col0\" class=\"data row0 col0\" >1</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row0_col1\" class=\"data row0 col1\" >-0.227788</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row0_col2\" class=\"data row0 col2\" >-0.593329</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row0_col3\" class=\"data row0 col3\" >-0.325373</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row0_col4\" class=\"data row0 col4\" >0.236752</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row0_col5\" class=\"data row0 col5\" >-0.105034</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row0_col6\" class=\"data row0 col6\" >0.0094234</td> \n",
+       "        <th id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000level0_row0\" class=\"row_heading level0 row0\" >ranking</th> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row0_col0\" class=\"data row0 col0\" >1</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row0_col1\" class=\"data row0 col1\" >-0.165935</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row0_col2\" class=\"data row0 col2\" >-0.586707</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row0_col3\" class=\"data row0 col3\" >-0.244073</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row0_col4\" class=\"data row0 col4\" >0.17403</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row0_col5\" class=\"data row0 col5\" >-0.0826093</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row0_col6\" class=\"data row0 col6\" >0.0196139</td> \n",
        "    </tr>    <tr> \n",
-       "        <th id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6level0_row1\" class=\"row_heading level0 row1\" >age</th> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row1_col0\" class=\"data row1 col0\" >-0.227788</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row1_col1\" class=\"data row1 col1\" >1</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row1_col2\" class=\"data row1 col2\" >0.16884</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row1_col3\" class=\"data row1 col3\" >0.015939</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row1_col4\" class=\"data row1 col4\" >-0.994193</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row1_col5\" class=\"data row1 col5\" >0.111297</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row1_col6\" class=\"data row1 col6\" >-0.0215108</td> \n",
+       "        <th id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000level0_row1\" class=\"row_heading level0 row1\" >age</th> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row1_col0\" class=\"data row1 col0\" >-0.165935</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row1_col1\" class=\"data row1 col1\" >1</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row1_col2\" class=\"data row1 col2\" >0.121731</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row1_col3\" class=\"data row1 col3\" >-0.140033</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row1_col4\" class=\"data row1 col4\" >-0.994296</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row1_col5\" class=\"data row1 col5\" >0.157223</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row1_col6\" class=\"data row1 col6\" >-0.0282972</td> \n",
        "    </tr>    <tr> \n",
-       "        <th id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6level0_row2\" class=\"row_heading level0 row2\" >points</th> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row2_col0\" class=\"data row2 col0\" >-0.593329</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row2_col1\" class=\"data row2 col1\" >0.16884</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row2_col2\" class=\"data row2 col2\" >1</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row2_col3\" class=\"data row2 col3\" >0.043939</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row2_col4\" class=\"data row2 col4\" >-0.176584</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row2_col5\" class=\"data row2 col5\" >0.152671</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row2_col6\" class=\"data row2 col6\" >-0.00995652</td> \n",
+       "        <th id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000level0_row2\" class=\"row_heading level0 row2\" >points</th> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row2_col0\" class=\"data row2 col0\" >-0.586707</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row2_col1\" class=\"data row2 col1\" >0.121731</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row2_col2\" class=\"data row2 col2\" >1</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row2_col3\" class=\"data row2 col3\" >-0.004905</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row2_col4\" class=\"data row2 col4\" >-0.129971</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row2_col5\" class=\"data row2 col5\" >0.159385</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row2_col6\" class=\"data row2 col6\" >-0.0153843</td> \n",
        "    </tr>    <tr> \n",
-       "        <th id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6level0_row3\" class=\"row_heading level0 row3\" >tournplayed</th> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row3_col0\" class=\"data row3 col0\" >-0.325373</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row3_col1\" class=\"data row3 col1\" >0.015939</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row3_col2\" class=\"data row3 col2\" >0.043939</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row3_col3\" class=\"data row3 col3\" >1</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row3_col4\" class=\"data row3 col4\" >-0.0219477</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row3_col5\" class=\"data row3 col5\" >-0.0960524</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row3_col6\" class=\"data row3 col6\" >-0.0567095</td> \n",
+       "        <th id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000level0_row3\" class=\"row_heading level0 row3\" >tournplayed</th> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row3_col0\" class=\"data row3 col0\" >-0.244073</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row3_col1\" class=\"data row3 col1\" >-0.140033</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row3_col2\" class=\"data row3 col2\" >-0.004905</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row3_col3\" class=\"data row3 col3\" >1</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row3_col4\" class=\"data row3 col4\" >0.13293</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row3_col5\" class=\"data row3 col5\" >-0.139194</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row3_col6\" class=\"data row3 col6\" >-0.0712482</td> \n",
        "    </tr>    <tr> \n",
-       "        <th id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6level0_row4\" class=\"row_heading level0 row4\" >born</th> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row4_col0\" class=\"data row4 col0\" >0.236752</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row4_col1\" class=\"data row4 col1\" >-0.994193</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row4_col2\" class=\"data row4 col2\" >-0.176584</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row4_col3\" class=\"data row4 col3\" >-0.0219477</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row4_col4\" class=\"data row4 col4\" >1</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row4_col5\" class=\"data row4 col5\" >-0.120376</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row4_col6\" class=\"data row4 col6\" >0.0264355</td> \n",
+       "        <th id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000level0_row4\" class=\"row_heading level0 row4\" >born</th> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row4_col0\" class=\"data row4 col0\" >0.17403</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row4_col1\" class=\"data row4 col1\" >-0.994296</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row4_col2\" class=\"data row4 col2\" >-0.129971</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row4_col3\" class=\"data row4 col3\" >0.13293</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row4_col4\" class=\"data row4 col4\" >1</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row4_col5\" class=\"data row4 col5\" >-0.163677</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row4_col6\" class=\"data row4 col6\" >0.0333731</td> \n",
        "    </tr>    <tr> \n",
-       "        <th id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6level0_row5\" class=\"row_heading level0 row5\" >weight</th> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row5_col0\" class=\"data row5 col0\" >-0.105034</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row5_col1\" class=\"data row5 col1\" >0.111297</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row5_col2\" class=\"data row5 col2\" >0.152671</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row5_col3\" class=\"data row5 col3\" >-0.0960524</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row5_col4\" class=\"data row5 col4\" >-0.120376</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row5_col5\" class=\"data row5 col5\" >1</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row5_col6\" class=\"data row5 col6\" >0.635301</td> \n",
+       "        <th id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000level0_row5\" class=\"row_heading level0 row5\" >weight</th> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row5_col0\" class=\"data row5 col0\" >-0.0826093</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row5_col1\" class=\"data row5 col1\" >0.157223</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row5_col2\" class=\"data row5 col2\" >0.159385</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row5_col3\" class=\"data row5 col3\" >-0.139194</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row5_col4\" class=\"data row5 col4\" >-0.163677</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row5_col5\" class=\"data row5 col5\" >1</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row5_col6\" class=\"data row5 col6\" >0.757689</td> \n",
        "    </tr>    <tr> \n",
-       "        <th id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6level0_row6\" class=\"row_heading level0 row6\" >height</th> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row6_col0\" class=\"data row6 col0\" >0.0094234</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row6_col1\" class=\"data row6 col1\" >-0.0215108</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row6_col2\" class=\"data row6 col2\" >-0.00995652</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row6_col3\" class=\"data row6 col3\" >-0.0567095</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row6_col4\" class=\"data row6 col4\" >0.0264355</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row6_col5\" class=\"data row6 col5\" >0.635301</td> \n",
-       "        <td id=\"T_b0258f1c_4ad1_11e8_82d6_780cb8866ae6row6_col6\" class=\"data row6 col6\" >1</td> \n",
+       "        <th id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000level0_row6\" class=\"row_heading level0 row6\" >height</th> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row6_col0\" class=\"data row6 col0\" >0.0196139</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row6_col1\" class=\"data row6 col1\" >-0.0282972</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row6_col2\" class=\"data row6 col2\" >-0.0153843</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row6_col3\" class=\"data row6 col3\" >-0.0712482</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row6_col4\" class=\"data row6 col4\" >0.0333731</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row6_col5\" class=\"data row6 col5\" >0.757689</td> \n",
+       "        <td id=\"T_85bdf18c_4c33_11e8_ad01_32001d384000row6_col6\" class=\"data row6 col6\" >1</td> \n",
        "    </tr></tbody> \n",
        "</table> "
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x7fa01f4cfcc0>"
+       "<pandas.io.formats.style.Styler at 0x10a484710>"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df.corr().style.background_gradient(cmap='viridis')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Average rank of RH: 219.67185069984447\n",
-      "Average rank of LH: 192.2405063291139\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(\"Average rank of RH:\", df.loc[df[\"hand\"] == \"R\"][\"ranking\"].mean())\n",
-    "print(\"Average rank of LH:\", df.loc[df[\"hand\"] == \"L\"][\"ranking\"].mean())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Average rank of RH: 595.3157076205288\n",
-      "Average rank of LH: 642.2278481012659\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(\"Average rank of RH:\", df.loc[df[\"hand\"] == \"R\"][\"points\"].mean())\n",
-    "print(\"Average rank of LH:\", df.loc[df[\"hand\"] == \"L\"][\"points\"].mean())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dfM = df.loc[df[\"gender\"] == \"M\"]\n"
+    "data.corr().style.background_gradient(cmap='viridis')"
    ]
   },
   {
@@ -471,1198 +238,21 @@
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>ranking</th>\n",
-       "      <th>country</th>\n",
-       "      <th>player</th>\n",
-       "      <th>age</th>\n",
-       "      <th>points</th>\n",
-       "      <th>tournplayed</th>\n",
-       "      <th>born</th>\n",
-       "      <th>weight</th>\n",
-       "      <th>height</th>\n",
-       "      <th>hand</th>\n",
-       "      <th>gender</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>ESP</td>\n",
-       "      <td>Rafael Nadal</td>\n",
-       "      <td>31</td>\n",
-       "      <td>8770</td>\n",
-       "      <td>14</td>\n",
-       "      <td>1986</td>\n",
-       "      <td>85.0</td>\n",
-       "      <td>185.0</td>\n",
-       "      <td>L</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2</td>\n",
-       "      <td>SUI</td>\n",
-       "      <td>Roger Federer</td>\n",
-       "      <td>36</td>\n",
-       "      <td>8670</td>\n",
-       "      <td>17</td>\n",
-       "      <td>1981</td>\n",
-       "      <td>85.0</td>\n",
-       "      <td>185.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3</td>\n",
-       "      <td>CRO</td>\n",
-       "      <td>Marin Cilic</td>\n",
-       "      <td>29</td>\n",
-       "      <td>4985</td>\n",
-       "      <td>20</td>\n",
-       "      <td>1988</td>\n",
-       "      <td>89.0</td>\n",
-       "      <td>198.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4</td>\n",
-       "      <td>GER</td>\n",
-       "      <td>Alexander Zverev</td>\n",
-       "      <td>20</td>\n",
-       "      <td>4925</td>\n",
-       "      <td>24</td>\n",
-       "      <td>1997</td>\n",
-       "      <td>86.0</td>\n",
-       "      <td>198.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5</td>\n",
-       "      <td>BUL</td>\n",
-       "      <td>Grigor Dimitrov</td>\n",
-       "      <td>26</td>\n",
-       "      <td>4635</td>\n",
-       "      <td>22</td>\n",
-       "      <td>1991</td>\n",
-       "      <td>80.0</td>\n",
-       "      <td>191.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>6</td>\n",
-       "      <td>ARG</td>\n",
-       "      <td>Juan Martin del Potro</td>\n",
-       "      <td>29</td>\n",
-       "      <td>4470</td>\n",
-       "      <td>20</td>\n",
-       "      <td>1988</td>\n",
-       "      <td>97.0</td>\n",
-       "      <td>198.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>7</td>\n",
-       "      <td>AUT</td>\n",
-       "      <td>Dominic Thiem</td>\n",
-       "      <td>24</td>\n",
-       "      <td>3665</td>\n",
-       "      <td>25</td>\n",
-       "      <td>1993</td>\n",
-       "      <td>82.0</td>\n",
-       "      <td>185.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>8</td>\n",
-       "      <td>RSA</td>\n",
-       "      <td>Kevin Anderson</td>\n",
-       "      <td>31</td>\n",
-       "      <td>3390</td>\n",
-       "      <td>22</td>\n",
-       "      <td>1986</td>\n",
-       "      <td>93.0</td>\n",
-       "      <td>203.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>9</td>\n",
-       "      <td>USA</td>\n",
-       "      <td>John Isner</td>\n",
-       "      <td>32</td>\n",
-       "      <td>3125</td>\n",
-       "      <td>25</td>\n",
-       "      <td>1985</td>\n",
-       "      <td>108.0</td>\n",
-       "      <td>208.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>10</td>\n",
-       "      <td>BEL</td>\n",
-       "      <td>David Goffin</td>\n",
-       "      <td>27</td>\n",
-       "      <td>3110</td>\n",
-       "      <td>24</td>\n",
-       "      <td>1990</td>\n",
-       "      <td>68.0</td>\n",
-       "      <td>180.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>11</td>\n",
-       "      <td>FRA</td>\n",
-       "      <td>Lucas Pouille</td>\n",
-       "      <td>24</td>\n",
-       "      <td>2410</td>\n",
-       "      <td>24</td>\n",
-       "      <td>1994</td>\n",
-       "      <td>81.0</td>\n",
-       "      <td>185.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>12</td>\n",
-       "      <td>ESP</td>\n",
-       "      <td>Pablo Carreno Busta</td>\n",
-       "      <td>26</td>\n",
-       "      <td>2395</td>\n",
-       "      <td>25</td>\n",
-       "      <td>1991</td>\n",
-       "      <td>78.0</td>\n",
-       "      <td>188.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>13</td>\n",
-       "      <td>SRB</td>\n",
-       "      <td>Novak Djokovic</td>\n",
-       "      <td>30</td>\n",
-       "      <td>2310</td>\n",
-       "      <td>15</td>\n",
-       "      <td>1987</td>\n",
-       "      <td>77.0</td>\n",
-       "      <td>188.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>14</td>\n",
-       "      <td>USA</td>\n",
-       "      <td>Sam Querrey</td>\n",
-       "      <td>30</td>\n",
-       "      <td>2220</td>\n",
-       "      <td>23</td>\n",
-       "      <td>1987</td>\n",
-       "      <td>95.0</td>\n",
-       "      <td>198.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>15</td>\n",
-       "      <td>ARG</td>\n",
-       "      <td>Diego Schwartzman</td>\n",
-       "      <td>25</td>\n",
-       "      <td>2220</td>\n",
-       "      <td>26</td>\n",
-       "      <td>1992</td>\n",
-       "      <td>64.0</td>\n",
-       "      <td>170.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>16</td>\n",
-       "      <td>ESP</td>\n",
-       "      <td>Roberto Bautista Agut</td>\n",
-       "      <td>30</td>\n",
-       "      <td>2175</td>\n",
-       "      <td>25</td>\n",
-       "      <td>1988</td>\n",
-       "      <td>76.0</td>\n",
-       "      <td>183.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>17</td>\n",
-       "      <td>USA</td>\n",
-       "      <td>Jack Sock</td>\n",
-       "      <td>25</td>\n",
-       "      <td>2155</td>\n",
-       "      <td>22</td>\n",
-       "      <td>1992</td>\n",
-       "      <td>84.0</td>\n",
-       "      <td>191.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>18</td>\n",
-       "      <td>CZE</td>\n",
-       "      <td>Tomas Berdych</td>\n",
-       "      <td>32</td>\n",
-       "      <td>2140</td>\n",
-       "      <td>19</td>\n",
-       "      <td>1985</td>\n",
-       "      <td>91.0</td>\n",
-       "      <td>196.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>19</td>\n",
-       "      <td>KOR</td>\n",
-       "      <td>Hyeon Chung</td>\n",
-       "      <td>21</td>\n",
-       "      <td>1897</td>\n",
-       "      <td>22</td>\n",
-       "      <td>1996</td>\n",
-       "      <td>87.0</td>\n",
-       "      <td>188.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>20</td>\n",
-       "      <td>ITA</td>\n",
-       "      <td>Fabio Fognini</td>\n",
-       "      <td>30</td>\n",
-       "      <td>1840</td>\n",
-       "      <td>24</td>\n",
-       "      <td>1987</td>\n",
-       "      <td>74.0</td>\n",
-       "      <td>178.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>21</td>\n",
-       "      <td>SUI</td>\n",
-       "      <td>Stan Wawrinka</td>\n",
-       "      <td>33</td>\n",
-       "      <td>1785</td>\n",
-       "      <td>14</td>\n",
-       "      <td>1985</td>\n",
-       "      <td>81.0</td>\n",
-       "      <td>183.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>22</td>\n",
-       "      <td>CAN</td>\n",
-       "      <td>Milos Raonic</td>\n",
-       "      <td>27</td>\n",
-       "      <td>1765</td>\n",
-       "      <td>20</td>\n",
-       "      <td>1990</td>\n",
-       "      <td>98.0</td>\n",
-       "      <td>196.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>23</td>\n",
-       "      <td>GBR</td>\n",
-       "      <td>Kyle Edmund</td>\n",
-       "      <td>23</td>\n",
-       "      <td>1757</td>\n",
-       "      <td>25</td>\n",
-       "      <td>1995</td>\n",
-       "      <td>83.0</td>\n",
-       "      <td>188.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>24</td>\n",
-       "      <td>ESP</td>\n",
-       "      <td>Albert Ramos-Vinolas</td>\n",
-       "      <td>30</td>\n",
-       "      <td>1745</td>\n",
-       "      <td>29</td>\n",
-       "      <td>1988</td>\n",
-       "      <td>80.0</td>\n",
-       "      <td>188.0</td>\n",
-       "      <td>L</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>25</td>\n",
-       "      <td>AUS</td>\n",
-       "      <td>Nick Kyrgios</td>\n",
-       "      <td>22</td>\n",
-       "      <td>1720</td>\n",
-       "      <td>19</td>\n",
-       "      <td>1995</td>\n",
-       "      <td>85.0</td>\n",
-       "      <td>193.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>26</td>\n",
-       "      <td>FRA</td>\n",
-       "      <td>Adrian Mannarino</td>\n",
-       "      <td>29</td>\n",
-       "      <td>1655</td>\n",
-       "      <td>26</td>\n",
-       "      <td>1988</td>\n",
-       "      <td>70.0</td>\n",
-       "      <td>180.0</td>\n",
-       "      <td>L</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>27</td>\n",
-       "      <td>SRB</td>\n",
-       "      <td>Filip Krajinovic</td>\n",
-       "      <td>26</td>\n",
-       "      <td>1616</td>\n",
-       "      <td>25</td>\n",
-       "      <td>1992</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>185.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27</th>\n",
-       "      <td>28</td>\n",
-       "      <td>LUX</td>\n",
-       "      <td>Gilles Muller</td>\n",
-       "      <td>34</td>\n",
-       "      <td>1465</td>\n",
-       "      <td>22</td>\n",
-       "      <td>1983</td>\n",
-       "      <td>89.0</td>\n",
-       "      <td>193.0</td>\n",
-       "      <td>L</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>28</th>\n",
-       "      <td>29</td>\n",
-       "      <td>GBR</td>\n",
-       "      <td>Andy Murray</td>\n",
-       "      <td>30</td>\n",
-       "      <td>1450</td>\n",
-       "      <td>14</td>\n",
-       "      <td>1987</td>\n",
-       "      <td>84.0</td>\n",
-       "      <td>191.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>29</th>\n",
-       "      <td>30</td>\n",
-       "      <td>ESP</td>\n",
-       "      <td>Feliciano Lopez</td>\n",
-       "      <td>36</td>\n",
-       "      <td>1420</td>\n",
-       "      <td>24</td>\n",
-       "      <td>1981</td>\n",
-       "      <td>88.0</td>\n",
-       "      <td>188.0</td>\n",
-       "      <td>L</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>470</th>\n",
-       "      <td>471</td>\n",
-       "      <td>HUN</td>\n",
-       "      <td>Zsombor Piros</td>\n",
-       "      <td>18</td>\n",
-       "      <td>76</td>\n",
-       "      <td>17</td>\n",
-       "      <td>1999</td>\n",
-       "      <td>65.0</td>\n",
-       "      <td>178.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>471</th>\n",
-       "      <td>472</td>\n",
-       "      <td>AUT</td>\n",
-       "      <td>David Pichler</td>\n",
-       "      <td>22</td>\n",
-       "      <td>76</td>\n",
-       "      <td>25</td>\n",
-       "      <td>1996</td>\n",
-       "      <td>70.0</td>\n",
-       "      <td>178.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>472</th>\n",
-       "      <td>473</td>\n",
-       "      <td>ITA</td>\n",
-       "      <td>Pietro Rondoni</td>\n",
-       "      <td>24</td>\n",
-       "      <td>76</td>\n",
-       "      <td>26</td>\n",
-       "      <td>1993</td>\n",
-       "      <td>78.0</td>\n",
-       "      <td>185.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>473</th>\n",
-       "      <td>474</td>\n",
-       "      <td>IRL</td>\n",
-       "      <td>James McGee</td>\n",
-       "      <td>30</td>\n",
-       "      <td>75</td>\n",
-       "      <td>8</td>\n",
-       "      <td>1987</td>\n",
-       "      <td>80.0</td>\n",
-       "      <td>183.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>474</th>\n",
-       "      <td>475</td>\n",
-       "      <td>GBR</td>\n",
-       "      <td>Tom Farquharson</td>\n",
-       "      <td>26</td>\n",
-       "      <td>75</td>\n",
-       "      <td>13</td>\n",
-       "      <td>1992</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>475</th>\n",
-       "      <td>476</td>\n",
-       "      <td>FRA</td>\n",
-       "      <td>Laurent Lokoli</td>\n",
-       "      <td>23</td>\n",
-       "      <td>75</td>\n",
-       "      <td>17</td>\n",
-       "      <td>1994</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>476</th>\n",
-       "      <td>477</td>\n",
-       "      <td>USA</td>\n",
-       "      <td>Ryan Shane</td>\n",
-       "      <td>24</td>\n",
-       "      <td>74</td>\n",
-       "      <td>16</td>\n",
-       "      <td>1994</td>\n",
-       "      <td>89.0</td>\n",
-       "      <td>193.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>477</th>\n",
-       "      <td>478</td>\n",
-       "      <td>GBR</td>\n",
-       "      <td>Lloyd Glasspool</td>\n",
-       "      <td>24</td>\n",
-       "      <td>74</td>\n",
-       "      <td>17</td>\n",
-       "      <td>1993</td>\n",
-       "      <td>85.0</td>\n",
-       "      <td>191.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>478</th>\n",
-       "      <td>479</td>\n",
-       "      <td>ISR</td>\n",
-       "      <td>Igor Smilansky</td>\n",
-       "      <td>23</td>\n",
-       "      <td>74</td>\n",
-       "      <td>23</td>\n",
-       "      <td>1995</td>\n",
-       "      <td>85.0</td>\n",
-       "      <td>188.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>479</th>\n",
-       "      <td>480</td>\n",
-       "      <td>ZIM</td>\n",
-       "      <td>Benjamin Lock</td>\n",
-       "      <td>25</td>\n",
-       "      <td>74</td>\n",
-       "      <td>31</td>\n",
-       "      <td>1993</td>\n",
-       "      <td>86.0</td>\n",
-       "      <td>201.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>480</th>\n",
-       "      <td>481</td>\n",
-       "      <td>FRA</td>\n",
-       "      <td>Gianni Mina</td>\n",
-       "      <td>26</td>\n",
-       "      <td>73</td>\n",
-       "      <td>18</td>\n",
-       "      <td>1992</td>\n",
-       "      <td>85.0</td>\n",
-       "      <td>188.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>481</th>\n",
-       "      <td>482</td>\n",
-       "      <td>BEL</td>\n",
-       "      <td>Clement Geens</td>\n",
-       "      <td>22</td>\n",
-       "      <td>73</td>\n",
-       "      <td>23</td>\n",
-       "      <td>1996</td>\n",
-       "      <td>68.0</td>\n",
-       "      <td>180.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>482</th>\n",
-       "      <td>483</td>\n",
-       "      <td>AUT</td>\n",
-       "      <td>Pascal Brunner</td>\n",
-       "      <td>28</td>\n",
-       "      <td>72</td>\n",
-       "      <td>18</td>\n",
-       "      <td>1989</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>180.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>483</th>\n",
-       "      <td>484</td>\n",
-       "      <td>GER</td>\n",
-       "      <td>Julian Lenz</td>\n",
-       "      <td>25</td>\n",
-       "      <td>71</td>\n",
-       "      <td>17</td>\n",
-       "      <td>1993</td>\n",
-       "      <td>82.0</td>\n",
-       "      <td>188.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>484</th>\n",
-       "      <td>485</td>\n",
-       "      <td>NED</td>\n",
-       "      <td>Botic Van de Zandschulp</td>\n",
-       "      <td>22</td>\n",
-       "      <td>71</td>\n",
-       "      <td>17</td>\n",
-       "      <td>1995</td>\n",
-       "      <td>83.0</td>\n",
-       "      <td>188.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>485</th>\n",
-       "      <td>486</td>\n",
-       "      <td>GER</td>\n",
-       "      <td>Peter Torebko</td>\n",
-       "      <td>30</td>\n",
-       "      <td>70</td>\n",
-       "      <td>20</td>\n",
-       "      <td>1988</td>\n",
-       "      <td>84.0</td>\n",
-       "      <td>185.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>486</th>\n",
-       "      <td>487</td>\n",
-       "      <td>IRL</td>\n",
-       "      <td>Sam Barry</td>\n",
-       "      <td>26</td>\n",
-       "      <td>70</td>\n",
-       "      <td>20</td>\n",
-       "      <td>1992</td>\n",
-       "      <td>83.0</td>\n",
-       "      <td>191.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>487</th>\n",
-       "      <td>488</td>\n",
-       "      <td>USA</td>\n",
-       "      <td>Ulises Blanch</td>\n",
-       "      <td>20</td>\n",
-       "      <td>70</td>\n",
-       "      <td>22</td>\n",
-       "      <td>1998</td>\n",
-       "      <td>78.0</td>\n",
-       "      <td>191.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>488</th>\n",
-       "      <td>489</td>\n",
-       "      <td>JPN</td>\n",
-       "      <td>Kento Takeuchi</td>\n",
-       "      <td>30</td>\n",
-       "      <td>70</td>\n",
-       "      <td>24</td>\n",
-       "      <td>1987</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>489</th>\n",
-       "      <td>490</td>\n",
-       "      <td>USA</td>\n",
-       "      <td>Ronnie Schneider</td>\n",
-       "      <td>23</td>\n",
-       "      <td>70</td>\n",
-       "      <td>25</td>\n",
-       "      <td>1994</td>\n",
-       "      <td>70.0</td>\n",
-       "      <td>175.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>490</th>\n",
-       "      <td>491</td>\n",
-       "      <td>FRA</td>\n",
-       "      <td>Jonathan Kanar</td>\n",
-       "      <td>23</td>\n",
-       "      <td>70</td>\n",
-       "      <td>29</td>\n",
-       "      <td>1994</td>\n",
-       "      <td>72.0</td>\n",
-       "      <td>180.0</td>\n",
-       "      <td>L</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>491</th>\n",
-       "      <td>492</td>\n",
-       "      <td>ITA</td>\n",
-       "      <td>Edoardo Eremin</td>\n",
-       "      <td>24</td>\n",
-       "      <td>69</td>\n",
-       "      <td>13</td>\n",
-       "      <td>1993</td>\n",
-       "      <td>95.0</td>\n",
-       "      <td>185.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>492</th>\n",
-       "      <td>493</td>\n",
-       "      <td>AUS</td>\n",
-       "      <td>Blake Ellis</td>\n",
-       "      <td>19</td>\n",
-       "      <td>69</td>\n",
-       "      <td>16</td>\n",
-       "      <td>1999</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>191.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>493</th>\n",
-       "      <td>494</td>\n",
-       "      <td>JPN</td>\n",
-       "      <td>Shuichi Sekiguchi</td>\n",
-       "      <td>26</td>\n",
-       "      <td>69</td>\n",
-       "      <td>19</td>\n",
-       "      <td>1991</td>\n",
-       "      <td>66.0</td>\n",
-       "      <td>168.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>494</th>\n",
-       "      <td>495</td>\n",
-       "      <td>ESP</td>\n",
-       "      <td>Andres Artunedo Martinavarro</td>\n",
-       "      <td>24</td>\n",
-       "      <td>69</td>\n",
-       "      <td>20</td>\n",
-       "      <td>1993</td>\n",
-       "      <td>75.0</td>\n",
-       "      <td>183.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>495</th>\n",
-       "      <td>496</td>\n",
-       "      <td>NED</td>\n",
-       "      <td>Jelle Sels</td>\n",
-       "      <td>22</td>\n",
-       "      <td>69</td>\n",
-       "      <td>23</td>\n",
-       "      <td>1995</td>\n",
-       "      <td>83.0</td>\n",
-       "      <td>188.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>496</th>\n",
-       "      <td>497</td>\n",
-       "      <td>USA</td>\n",
-       "      <td>Sekou Bangoura</td>\n",
-       "      <td>26</td>\n",
-       "      <td>69</td>\n",
-       "      <td>25</td>\n",
-       "      <td>1991</td>\n",
-       "      <td>77.0</td>\n",
-       "      <td>183.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>497</th>\n",
-       "      <td>498</td>\n",
-       "      <td>GER</td>\n",
-       "      <td>Elmar Ejupovic</td>\n",
-       "      <td>25</td>\n",
-       "      <td>69</td>\n",
-       "      <td>28</td>\n",
-       "      <td>1993</td>\n",
-       "      <td>90.0</td>\n",
-       "      <td>193.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>498</th>\n",
-       "      <td>499</td>\n",
-       "      <td>NED</td>\n",
-       "      <td>Gijs Brouwer</td>\n",
-       "      <td>22</td>\n",
-       "      <td>68</td>\n",
-       "      <td>21</td>\n",
-       "      <td>1996</td>\n",
-       "      <td>72.0</td>\n",
-       "      <td>191.0</td>\n",
-       "      <td>L</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>499</th>\n",
-       "      <td>500</td>\n",
-       "      <td>BRA</td>\n",
-       "      <td>Joao Menezes</td>\n",
-       "      <td>21</td>\n",
-       "      <td>68</td>\n",
-       "      <td>22</td>\n",
-       "      <td>1996</td>\n",
-       "      <td>80.0</td>\n",
-       "      <td>185.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>500 rows × 11 columns</p>\n",
-       "</div>"
-      ],
       "text/plain": [
-       "     ranking country                        player  age  points  tournplayed  \\\n",
-       "0          1     ESP                  Rafael Nadal   31    8770           14   \n",
-       "1          2     SUI                 Roger Federer   36    8670           17   \n",
-       "2          3     CRO                   Marin Cilic   29    4985           20   \n",
-       "3          4     GER              Alexander Zverev   20    4925           24   \n",
-       "4          5     BUL               Grigor Dimitrov   26    4635           22   \n",
-       "5          6     ARG         Juan Martin del Potro   29    4470           20   \n",
-       "6          7     AUT                 Dominic Thiem   24    3665           25   \n",
-       "7          8     RSA                Kevin Anderson   31    3390           22   \n",
-       "8          9     USA                    John Isner   32    3125           25   \n",
-       "9         10     BEL                  David Goffin   27    3110           24   \n",
-       "10        11     FRA                 Lucas Pouille   24    2410           24   \n",
-       "11        12     ESP           Pablo Carreno Busta   26    2395           25   \n",
-       "12        13     SRB                Novak Djokovic   30    2310           15   \n",
-       "13        14     USA                   Sam Querrey   30    2220           23   \n",
-       "14        15     ARG             Diego Schwartzman   25    2220           26   \n",
-       "15        16     ESP         Roberto Bautista Agut   30    2175           25   \n",
-       "16        17     USA                     Jack Sock   25    2155           22   \n",
-       "17        18     CZE                 Tomas Berdych   32    2140           19   \n",
-       "18        19     KOR                   Hyeon Chung   21    1897           22   \n",
-       "19        20     ITA                 Fabio Fognini   30    1840           24   \n",
-       "20        21     SUI                 Stan Wawrinka   33    1785           14   \n",
-       "21        22     CAN                  Milos Raonic   27    1765           20   \n",
-       "22        23     GBR                   Kyle Edmund   23    1757           25   \n",
-       "23        24     ESP          Albert Ramos-Vinolas   30    1745           29   \n",
-       "24        25     AUS                  Nick Kyrgios   22    1720           19   \n",
-       "25        26     FRA              Adrian Mannarino   29    1655           26   \n",
-       "26        27     SRB              Filip Krajinovic   26    1616           25   \n",
-       "27        28     LUX                 Gilles Muller   34    1465           22   \n",
-       "28        29     GBR                   Andy Murray   30    1450           14   \n",
-       "29        30     ESP               Feliciano Lopez   36    1420           24   \n",
-       "..       ...     ...                           ...  ...     ...          ...   \n",
-       "470      471     HUN                 Zsombor Piros   18      76           17   \n",
-       "471      472     AUT                 David Pichler   22      76           25   \n",
-       "472      473     ITA                Pietro Rondoni   24      76           26   \n",
-       "473      474     IRL                   James McGee   30      75            8   \n",
-       "474      475     GBR               Tom Farquharson   26      75           13   \n",
-       "475      476     FRA                Laurent Lokoli   23      75           17   \n",
-       "476      477     USA                    Ryan Shane   24      74           16   \n",
-       "477      478     GBR               Lloyd Glasspool   24      74           17   \n",
-       "478      479     ISR                Igor Smilansky   23      74           23   \n",
-       "479      480     ZIM                 Benjamin Lock   25      74           31   \n",
-       "480      481     FRA                   Gianni Mina   26      73           18   \n",
-       "481      482     BEL                 Clement Geens   22      73           23   \n",
-       "482      483     AUT                Pascal Brunner   28      72           18   \n",
-       "483      484     GER                   Julian Lenz   25      71           17   \n",
-       "484      485     NED       Botic Van de Zandschulp   22      71           17   \n",
-       "485      486     GER                 Peter Torebko   30      70           20   \n",
-       "486      487     IRL                     Sam Barry   26      70           20   \n",
-       "487      488     USA                 Ulises Blanch   20      70           22   \n",
-       "488      489     JPN                Kento Takeuchi   30      70           24   \n",
-       "489      490     USA              Ronnie Schneider   23      70           25   \n",
-       "490      491     FRA                Jonathan Kanar   23      70           29   \n",
-       "491      492     ITA                Edoardo Eremin   24      69           13   \n",
-       "492      493     AUS                   Blake Ellis   19      69           16   \n",
-       "493      494     JPN             Shuichi Sekiguchi   26      69           19   \n",
-       "494      495     ESP  Andres Artunedo Martinavarro   24      69           20   \n",
-       "495      496     NED                    Jelle Sels   22      69           23   \n",
-       "496      497     USA                Sekou Bangoura   26      69           25   \n",
-       "497      498     GER                Elmar Ejupovic   25      69           28   \n",
-       "498      499     NED                  Gijs Brouwer   22      68           21   \n",
-       "499      500     BRA                  Joao Menezes   21      68           22   \n",
-       "\n",
-       "     born  weight  height hand gender  \n",
-       "0    1986    85.0   185.0    L      M  \n",
-       "1    1981    85.0   185.0    R      M  \n",
-       "2    1988    89.0   198.0    R      M  \n",
-       "3    1997    86.0   198.0    R      M  \n",
-       "4    1991    80.0   191.0    R      M  \n",
-       "5    1988    97.0   198.0    R      M  \n",
-       "6    1993    82.0   185.0    R      M  \n",
-       "7    1986    93.0   203.0    R      M  \n",
-       "8    1985   108.0   208.0    R      M  \n",
-       "9    1990    68.0   180.0    R      M  \n",
-       "10   1994    81.0   185.0    R      M  \n",
-       "11   1991    78.0   188.0    R      M  \n",
-       "12   1987    77.0   188.0    R      M  \n",
-       "13   1987    95.0   198.0    R      M  \n",
-       "14   1992    64.0   170.0    R      M  \n",
-       "15   1988    76.0   183.0    R      M  \n",
-       "16   1992    84.0   191.0    R      M  \n",
-       "17   1985    91.0   196.0    R      M  \n",
-       "18   1996    87.0   188.0    R      M  \n",
-       "19   1987    74.0   178.0    R      M  \n",
-       "20   1985    81.0   183.0    R      M  \n",
-       "21   1990    98.0   196.0    R      M  \n",
-       "22   1995    83.0   188.0    R      M  \n",
-       "23   1988    80.0   188.0    L      M  \n",
-       "24   1995    85.0   193.0    R      M  \n",
-       "25   1988    70.0   180.0    L      M  \n",
-       "26   1992    75.0   185.0    R      M  \n",
-       "27   1983    89.0   193.0    L      M  \n",
-       "28   1987    84.0   191.0    R      M  \n",
-       "29   1981    88.0   188.0    L      M  \n",
-       "..    ...     ...     ...  ...    ...  \n",
-       "470  1999    65.0   178.0    R      M  \n",
-       "471  1996    70.0   178.0    R      M  \n",
-       "472  1993    78.0   185.0    R      M  \n",
-       "473  1987    80.0   183.0    R      M  \n",
-       "474  1992     NaN     NaN  NaN      M  \n",
-       "475  1994     NaN     NaN    R      M  \n",
-       "476  1994    89.0   193.0    R      M  \n",
-       "477  1993    85.0   191.0    R      M  \n",
-       "478  1995    85.0   188.0    R      M  \n",
-       "479  1993    86.0   201.0    R      M  \n",
-       "480  1992    85.0   188.0    R      M  \n",
-       "481  1996    68.0   180.0    R      M  \n",
-       "482  1989    75.0   180.0    R      M  \n",
-       "483  1993    82.0   188.0    R      M  \n",
-       "484  1995    83.0   188.0    R      M  \n",
-       "485  1988    84.0   185.0    R      M  \n",
-       "486  1992    83.0   191.0    R      M  \n",
-       "487  1998    78.0   191.0    R      M  \n",
-       "488  1987     NaN     NaN  NaN      M  \n",
-       "489  1994    70.0   175.0    R      M  \n",
-       "490  1994    72.0   180.0    L      M  \n",
-       "491  1993    95.0   185.0    R      M  \n",
-       "492  1999    75.0   191.0    R      M  \n",
-       "493  1991    66.0   168.0    R      M  \n",
-       "494  1993    75.0   183.0    R      M  \n",
-       "495  1995    83.0   188.0    R      M  \n",
-       "496  1991    77.0   183.0    R      M  \n",
-       "497  1993    90.0   193.0    R      M  \n",
-       "498  1996    72.0   191.0    L      M  \n",
-       "499  1996    80.0   185.0    R      M  \n",
-       "\n",
-       "[500 rows x 11 columns]"
+       "[<matplotlib.lines.Line2D at 0x1124a0400>,\n",
+       " <matplotlib.lines.Line2D at 0x1124a0550>,\n",
+       " <matplotlib.lines.Line2D at 0x1124a09b0>]"
       ]
      },
      "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dfM"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>ranking</th>\n",
-       "      <th>country</th>\n",
-       "      <th>player</th>\n",
-       "      <th>age</th>\n",
-       "      <th>points</th>\n",
-       "      <th>tournplayed</th>\n",
-       "      <th>born</th>\n",
-       "      <th>weight</th>\n",
-       "      <th>height</th>\n",
-       "      <th>hand</th>\n",
-       "      <th>gender</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>ESP</td>\n",
-       "      <td>Rafael Nadal</td>\n",
-       "      <td>31</td>\n",
-       "      <td>8770</td>\n",
-       "      <td>14</td>\n",
-       "      <td>1986</td>\n",
-       "      <td>85.0</td>\n",
-       "      <td>185.0</td>\n",
-       "      <td>L</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2</td>\n",
-       "      <td>SUI</td>\n",
-       "      <td>Roger Federer</td>\n",
-       "      <td>36</td>\n",
-       "      <td>8670</td>\n",
-       "      <td>17</td>\n",
-       "      <td>1981</td>\n",
-       "      <td>85.0</td>\n",
-       "      <td>185.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3</td>\n",
-       "      <td>CRO</td>\n",
-       "      <td>Marin Cilic</td>\n",
-       "      <td>29</td>\n",
-       "      <td>4985</td>\n",
-       "      <td>20</td>\n",
-       "      <td>1988</td>\n",
-       "      <td>89.0</td>\n",
-       "      <td>198.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4</td>\n",
-       "      <td>GER</td>\n",
-       "      <td>Alexander Zverev</td>\n",
-       "      <td>20</td>\n",
-       "      <td>4925</td>\n",
-       "      <td>24</td>\n",
-       "      <td>1997</td>\n",
-       "      <td>86.0</td>\n",
-       "      <td>198.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5</td>\n",
-       "      <td>BUL</td>\n",
-       "      <td>Grigor Dimitrov</td>\n",
-       "      <td>26</td>\n",
-       "      <td>4635</td>\n",
-       "      <td>22</td>\n",
-       "      <td>1991</td>\n",
-       "      <td>80.0</td>\n",
-       "      <td>191.0</td>\n",
-       "      <td>R</td>\n",
-       "      <td>M</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   ranking country            player  age  points  tournplayed  born  weight  \\\n",
-       "0        1     ESP      Rafael Nadal   31    8770           14  1986    85.0   \n",
-       "1        2     SUI     Roger Federer   36    8670           17  1981    85.0   \n",
-       "2        3     CRO       Marin Cilic   29    4985           20  1988    89.0   \n",
-       "3        4     GER  Alexander Zverev   20    4925           24  1997    86.0   \n",
-       "4        5     BUL   Grigor Dimitrov   26    4635           22  1991    80.0   \n",
-       "\n",
-       "   height hand gender  \n",
-       "0   185.0    L      M  \n",
-       "1   185.0    R      M  \n",
-       "2   198.0    R      M  \n",
-       "3   198.0    R      M  \n",
-       "4   191.0    R      M  "
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7fa016ec3f60>,\n",
-       " <matplotlib.lines.Line2D at 0x7fa016ec3e10>,\n",
-       " <matplotlib.lines.Line2D at 0x7fa016ee3390>]"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fa01f4a9a20>"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -1670,8 +260,8 @@
     }
    ],
    "source": [
-    "x = df[\"age\"]\n",
-    "y = df[\"points\"]\n",
+    "x = data[\"age\"]\n",
+    "y = data[\"points\"]\n",
     "plt.scatter(x, y)\n",
     "plt.xlabel(\"age\")\n",
     "plt.ylabel(\"points\")\n",
@@ -1684,44 +274,44 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "-255.78883132530993"
+       "-578.3045372326807"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "poly1d(polyfit(df[\"age\"], df[\"points\"], 2))(0)"
+    "poly1d(polyfit(data[\"age\"], data[\"points\"], 2))(0)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7fa016a61240>]"
+       "[<matplotlib.lines.Line2D at 0x11258da58>]"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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Bdmr/v+Sq8f9cW67zXzu6rzp/ySjJngX0feAP4Qyg94BbiBWVyWY2EFgHXBvazgD6AKuB3aGtSM7RqF+yRVIFwN2XAoUVfNSzgrYODE5mfiKZ7NaJC3np7U1xMXX8ksl0JbBICiSO+ruf1ZinbukcUTYiR0cFQCQJ2t0j2UwFQKSKEjv/e/t24DuXto0oG5FjpwIgcow06pdcoQIgcpT2FR/krHtnxsWeHdSFi9s2iigjkeSoAIgcBY36JRepAIhUYsNHe7hk9Jy42ILhPWl6Ut2IMhJJHRUAkcPQqF9ynQqASIJFH2zn62Nej4u9+8AV1KmV1POTRDKOCoBIGRr1Sz5RARABJs7/gBHPL4+LqeOXXKcCIHkvcdR/RpMTeeXOL0eUjUj1UQGQvHXHpCU8vzT+kRQa9Us+UQGQvJQ46v921zb85L/OjigbkWioAEhe6TjyZXbuORAX06hf8lVSBcDM1gK7gINAsbsXmllD4FmgNbAW+Ia77zAzAx4n9lCY3cDN7r44mfmLHC13p82wGXGxJ64/n6s6fi6ijESil4otgO7uvrXM9FBgtruPNrOhYXoIcAXQLvxdDIwJryJppVM7RSqWjl1A/YBu4f14YB6xAtAPmBCeDDbfzBqUPjw+DTmIsGf/QTr8JP7mbdMGd6VjqwYRZSSSWZItAA68bGYO/H93Hws0Le3U3X2jmTUJbVsA68t8tyjEVAAk5TTqFzmyZAtAV3ffEDr5WWa2spK2VkHMyzUyGwQMAigoKEgyPck3a7d+SrdfzIuLLR5xGQ1PqBNNQiIZLNmHwm8Ir5vN7DmgM7CpdNeOmTUHNofmRUCrMl9vCcSfhB37rbHAWIDCwsJyBULkcDTqFzk2Vb67lZmdYGb1S98DlwPLgenAgNBsADAtvJ8O3GQxXYCd2v8vqTB7xaZynf+ah/qo8xc5gmS2AJoCz8XO7qQW8Ed3n2lmbwCTzWwgsA64NrSfQewU0NXETgO9JYl5iwAa9Ysko8oFwN3fAzpWEN8G9Kwg7sDgqs5PpKyfv7SS38xdExdTxy9ybHQlsGSdxFF/s5PqMn94uTGHiByBCoBkjb5PvMbbGz6Oi2nUL1J1KgCSFRJH/Td0KeCBq8+NKBuR3KACIBlNB3lF0kcFQDJSRTdve7x/J/p1ahFRRiK5RwVAMo5G/SLVQwVAMsauvQc4976X42Iz77iU9s1OiigjkdymAiAZQaN+keqnAiCRen/rp3RPuHnbsvsu56S6taNJSCSPqABIZDTqF4mWCoBUu9krNjFw/MK42PsP9yHcV0pEqokKgFQrjfpFMocKgFSLR2e9y+OzV8XF1PGLREsFQNIucdTf7azGPH1L54iyEZFSKgCSNt948nX+tXZ7XEyjfpHMUeUngpUys5pmtsTMXgjTbcxsgZmtMrNnzaxOiB8XpleHz1snO2/JXK2H/jWu8x/Su706f5EMk4otgNuBFUDp5ZqPAI+6+yQzexIYCIwJrzvc/Qwz6x/aXZeC+UsG0UFekeyR1BaAmbUE+gK/C9MG9ACmhCbjgavD+35hmvB5T9N5fzmjpMTLdf4TB3ZW5y+SwZLdAngMuBuoH6YbAR+5e3GYLgJKb9/YAlgP4O7FZrYztN+aZA4SMY36RbJTlQuAmV0JbHb3RWbWrTRcQVM/is/K/u4gYBBAQUFBVdOTarBz9wE6joq/edtrd3enVcN6EWUkIscimS2ArsBVZtYHqEvsGMBjQAMzqxW2AloCG0L7IqAVUGRmtYCTge2JP+ruY4GxAIWFheUKhGQGjfpFsl+VjwG4+zB3b+nurYH+wBx3/xYwF7gmNBsATAvvp4dpwudz3F0dfJb59392lev8V4zqrc5fJAul4zqAIcAkM3sAWAKMC/FxwEQzW01s5N8/DfOWNNKoXyS3pKQAuPs8YF54/x5Q7jJPd98LXJuK+Un1mvfvzdz81BtxMd28TST76UpgqVTiqP/UE+uw8N7LIspGRFJJBUAqNGbeGh6ZuTIupt09IrlFBUDKSRz1D/xiG0ZceXZE2YhIuqgAyCHfnbCQWe9siotp1C+Su1QABCg/6n/suk5cfX6Lw7QWkVygApDnOoyYyZ4DB+NiGvWL5AcVgDx1sMQ5ffiMuNhfbvsi57Y8OaKMRKS6qQDkIV3QJSKgApBXPt57gPPui79528J7e3HqicdFlJGIREkFIE9o1C8iiVQActzarZ/S7Rfz4mKrHryC2jWTfhqoiGQ5FYAcljjqb9v4BOb8qFs0yYhIxlEByEH/XL2Vb/5uQVxMu3tEJJEKQI5JHPV/o7AlP7umY0TZiEgmUwHIEX95cwPff2ZJXEyjfhGpjApADkgc9Y/q93lu+kLraJIRkayRzEPh6wKvAseF35ni7j81szbAJKAhsBi40d33m9lxwATgQmAbcJ27r00y/7z2m7mr+flL/46LadQvIkcrmS2AfUAPd//EzGoDfzezF4E7gUfdfZKZPQkMBMaE1x3ufoaZ9QceAa5LMv+8lTjqn35bV85r2SCibEQkGyXzUHh390/CZO3w50APYEqIjweuDu/7hWnC5z1NzxQ8Zrf9cXG5zn/t6L7q/EXkmCV1DMDMagKLgDOA3wBrgI/cvTg0KQJK7yncAlgP4O7FZrYTaARsTfjNQcAggIKCgmTSyynFB0s4454X42KvD+tB85OPjygjEcl2SRUAdz8IdDKzBsBzQIeKmoXXikb7Xi7gPhYYC1BYWFju83z0pZ/NZd323XEx7esXkWSl5Cwgd//IzOYBXYAGZlYrbAW0BDaEZkVAK6DIzGoBJwPbUzH/XLVr7wHOTbh529sjv8IJx+nkLRFJXpWPAZhZ4zDyx8yOB3oBK4C5wDWh2QBgWng/PUwTPp/j7hrhH8aF98+K6/zbN6vP2tF91fmLSMok05s0B8aH4wA1gMnu/oKZvQNMMrMHgCXAuNB+HDDRzFYTG/n3T2LeOWvLrn1c9OArcbH3HupDjRo6Xi4iqVXlAuDuy4DzK4i/B3SuIL4XuLaq88sHZ97zIvsPlhyavrdvB75zadsIMxKRXKb9CRlg9eZd9PrVq3ExHeQVkXRTAYhY4jn9T95wIb3PaRZRNiKST1QAIvL6mm1c/9v5cTGN+kWkOqkARCBx1P/84K50aqUreUWkeqkAVKOpi4u4c/KbcTGN+kUkKioA1cDdaTNsRlzstbu706phvYgyEhFRAUi7V97ZxHcmLDw03eykuswf3jPCjEREYlQA0uRgiXP68PhR/4pRvTm+Ts2IMhIRiacCkAaT/rWOoVPfOjR933+dzc1d20SYkYhIeSoAKbT3wEHaj5gZF1v94BXUqlnlWy6JiKSNCkCKPPbKuzz2yqpD0//7rQvoc27zCDMSEamcCkCSdu45QMeR8bdsfv/hPuhhZyKS6VQAknD3lDeZvLDo0PSkQV3o0rZRhBmJiBw9FYAq2LP/IB1+8tm+/sb1j+ONe3pFmJGIyLFTAThGr6/ZxrCpyw5Nz7zjUto3OynCjEREqqbKBcDMWgETgGZACTDW3R83s4bAs0BrYC3wDXffYbGd4o8DfYDdwM3uvji59KvPx3sPMPrFlfxxwTpOa1SPP373Yi45/dSo0xIRqbJktgCKgR+5+2Izqw8sMrNZwM3AbHcfbWZDgaHAEOAKoF34uxgYE14z3pyVmxg+dTmbd+3lu5e24c7LztIFXSKS9ZJ5IthGYGN4v8vMVgAtgH5At9BsPDCPWAHoB0wIzwGeb2YNzKx5+J2MtO2TfYx64R2mLd3AWU3r8+SNF+qunSKSM1JyDMDMWhN7POQCoGlpp+7uG82sSWjWAlhf5mtFIZZxBcDdmf7mBkb+5R127T3AD3udyf90O506tXRBl4jkjqQLgJmdCPwZuMPdP67k/PeKPvAKfm8QMAigoKAg2fSO2cade7j3ueXMXrmZjq0a8LOvn8dZzepXex4iIumWVAEws9rEOv8/uPvUEN5UumvHzJoDm0O8CGhV5ustgQ2Jv+nuY4GxAIWFheUKRLqUlDiT3ljPwzNWcKCkhHv7duCWrm2oWUMXdIlIbkrmLCADxgEr3P1XZT6aDgwARofXaWXit5nZJGIHf3dmyv7/tVs/ZdjUt3j9vW1ccnojHv7auZzW6ISo0xIRSatktgC6AjcCb5nZ0hAbTqzjn2xmA4F1wLXhsxnETgFdTew00FuSmHdKHCxxfv/39/nlrH9Tu0YNRn/tXK67qJVu4yAieSGZs4D+TsX79QHKPfEknP0zuKrzS7WV//mYIVOW8WbRTnp1aMoDV59Ds5PrRp2WiEi1ybsrgfcVH+Q3c9fwv3NXc/Lxtfn19edz5XnNNeoXkbyTVwVgybodDPnzMt7d9AlfPb8FI648m4Yn1Ik6LRGRSORFAdi9v5hfvvwuv//H+zQ7qS6/v7mQHu2bRp2WiEikcr4A/HP1VoZOfYt123dzQ5cChvRuT/26taNOS0QkcjlbAHbuOcDDM1Yw6Y31tG5UT/fqFxFJkJMFYFnRR3x3wkK27NrHrV9uyw97nUnd2rp5m4hIWTlZAAoa1uPMpvX57U2FnNdSN28TEalIThaABvXqMHFgVtxpWkQkMrq9pYhInlIBEBHJUyoAIiJ5SgVARCRPqQCIiOQpFQARkTylAiAikqdUAERE8pTFntOSmcxsC/BBEj9xKrA1Relkg3xbXtAy5wst87E5zd0bH6lRRheAZJnZQncvjDqP6pJvywta5nyhZU4P7QISEclTKgAiInkq1wvA2KgTqGb5trygZc4XWuY0yOljACIicni5vgUgIiKHkRMFwMx+b2abzWx5mdh9ZvahmS0Nf32izDHVzKyVmc01sxVm9raZ3R7iDc1slpmtCq+nRJ1rqlSyzDm7rs2srpn9y8zeDMs8MsTbmNmCsJ6fNbM6UeeaCpUs79Nm9n6Zddwp6lxTzcxqmtkSM3shTKd9HedEAQCeBnpXEH/U3TuFvxnVnFO6FQM/cvcOQBdgsJmdDQwFZrt7O2B2mM4Vh1tmyN11vQ/o4e4dgU5AbzPrAjxCbJnbATuAgRHmmEqHW16Au8qs46XRpZg2twMrykynfR3nRAFw91eB7VHnUZ3cfaO7Lw7vdxH7h9MC6AeMD83GA1dHk2HqVbLMOctjPgmTtcOfAz2AKSGeM+u5kuXNaWbWEugL/C5MG9WwjnOiAFTiNjNbFnYR5cyukERm1ho4H1gANHX3jRDrMIEm0WWWPgnLDDm8rsOugaXAZmAWsAb4yN2LQ5MicqgQJi6vu5eu4wfDOn7UzI6LMMV0eAy4GygJ042ohnWcywVgDHA6sc3IjcAvo00nPczsRODPwB3u/nHU+VSHCpY5p9e1ux90905AS6Az0KGiZtWbVfokLq+ZnQMMA9oDFwENgSERpphSZnYlsNndF5UNV9A05es4ZwuAu28K/5BKgN8S+x8np5hZbWId4R/cfWoIbzKz5uHz5sRGUTmjomXOh3UN4O4fAfOIHf9oYGa1wkctgQ1R5ZUuZZa3d9j95+6+D3iK3FrHXYGrzGwtMInYrp/HqIZ1nLMFoLQTDL4KLD9c22wU9hGOA1a4+6/KfDQdGBDeDwCmVXdu6XK4Zc7ldW1mjc2sQXh/PNCL2LGPucA1oVnOrOfDLO/KMoMaI7YvPGfWsbsPc/eW7t4a6A/McfdvUQ3rOCcuBDOzZ4BuxO6etwn4aZjuRGyzaS1wa+m+8VxgZl8EXgPe4rP9hsOJ7ROfDBQA64Br3T0nDpBXsszXk6Pr2szOI3YAsCaxAdtkdx9lZm2JjRYbAkuAG8LoOKtVsrxzgMbEdo0sBf67zMHinGFm3YAfu/uV1bGOc6IAiIjIscvZXUAiIlI5FQARkTylAiAikqdUAERE8pQKgIhInlIBEBHJUyoAIiJ5SgVARCRP/R+YYSKJORaaoAAAAABJRU5ErkJggg==\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fa01f4a19e8>"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -1734,24 +324,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7fa0169cd518>]"
+       "[<matplotlib.lines.Line2D at 0x1125f28d0>]"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fa016a3d198>"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -1764,24 +354,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.PolyCollection at 0x7fa0169a93c8>"
+       "<matplotlib.collections.PolyCollection at 0x11264d3c8>"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fa016a32518>"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -1796,16 +386,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import matplotlib"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -1814,15 +395,15 @@
        "Text(0,0.5,'points')"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fa016987a20>"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -1839,103 +420,80 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Handedness t-test"
+    "# Handedness t-test\n",
+    "\n",
+    "Initial investigation using simple data aggragation showed that left handed players hold higher ranks within the tennis board and on average they have more points than right handed players:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "scoresL = df.loc[df[\"hand\"] == \"L\"][\"points\"]\n",
-    "scoresR = df.loc[df[\"hand\"] == \"R\"][\"points\"]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "left-handed mean: 642.2278481012659\n",
-      "left-handed var: 1196169.9474196683\n",
-      "right-handed mean: 595.3157076205288\n",
-      "right-handed var: 885851.1384912046\n"
+      "Average rank of right-handed players: 198.5\n",
+      "Average score of right-handed players: 608.775641025641\n",
+      "\n",
+      "Average rank of left-handed players: 186.56578947368422\n",
+      "Average score of left-handed players: 662.0263157894736\n"
      ]
     }
    ],
    "source": [
-    "print(\"left-handed mean:\", scoresL.mean())\n",
-    "print(\"left-handed var:\", scoresL.var())\n",
-    "print(\"right-handed mean:\", scoresR.mean())\n",
-    "print(\"right-handed var:\", scoresR.var())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ttest = (scoresL.mean() - scoresR.mean()) / (np.sqrt(scoresL.var()/(len(scoresL)-1) + scoresR.var()/(len(scoresR)-1)))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.3628504016994108"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ttest"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "720"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "degfree = (len(scoresL) + len(scoresR)) - 2\n",
-    "degfree"
+    "print(\"Average rank of right-handed players:\", data.loc[data[\"hand\"] == \"R\"][\"ranking\"].median())\n",
+    "print(\"Average score of right-handed players:\", data.loc[data[\"hand\"] == \"R\"][\"points\"].mean())\n",
+    "print(\"\\nAverage rank of left-handed players:\", data.loc[data[\"hand\"] == \"L\"][\"ranking\"].mean())\n",
+    "print(\"Average score of left-handed players:\", data.loc[data[\"hand\"] == \"L\"][\"points\"].mean())"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "To investigate if left handed players have a significant advantage, we conduct a T-Test."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "T score: 0.451694, P score: 0.325815\n"
+     ]
+    }
+   ],
+   "source": [
+    "scoresL = data.loc[data[\"hand\"] == \"L\"][\"points\"]\n",
+    "scoresR = data.loc[data[\"hand\"] == \"R\"][\"points\"]\n",
+    "t, p = stats.stats.ttest_ind(scoresL, scoresR)\n",
+    "p = p/2 # Because 1 tailed T-Test\n",
+    "print(\"T score: %f, P score: %f\" % (t, p))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Our $t$-Test reveals a $p$-score of $0.325815$. Generally we reject our null-hypothesis when this score is less that $0.05$. From this data is thus highly unlikely that left-handed players have a significant advantage over right-handed players."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Resources\n",
+    "\n",
     "Links to the converters:\n",
     "- https://surfstat.anu.edu.au/surfstat-home/tables/t.php\n",
     "- http://www.socscistatistics.com/pvalues/tdistribution.aspx\n",
-    "- https://goodcalculators.com/student-t-value-calculator/\n",
-    "\n",
-    "TODO:\n",
-    "- try the stats package imported above to do the t-tests and calculate the alpha and p values"
+    "- https://goodcalculators.com/student-t-value-calculator/"
    ]
   }
  ],
@@ -1955,7 +513,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,