# data[].attributes.body
Ken Rosewall | 33
Rod Laver | 29
Arthur Ashe | 25
Jan Kodeš | 24
John Newcombe | 26
Stan Smith | 24
Andrés Gimeno | 34
Ilie Năstase | 26
Jimmy Connors | 21
Björn Borg | 18
Manuel Orantes | 26
Mark Edmondson | 21
Adriano Panatta | 25
Roscoe Tanner | 25
Guillermo Vilas | 24
Vitas Gerulaitis | 23
John McEnroe | 20
Brian Teacher | 26
Johan Kriek | 23
Mats Wilander | 17
Yannick Noah | 23
Ivan Lendl | 24
Boris Becker | 17
Stefan Edberg | 19
Pat Cash | 22
Michael Chang | 17
Andrés Gómez | 30
Pete Sampras | 19
Jim Courier | 20
Michael Stitch | 22
Andre Agassi | 22
Sergi Bruguera | 22
Thomas Muster | 27
Yevgeny Kafelnikov | 22
Richard Krajicek | 24
Gustavo Kuerten | 20
Patrick Rafter | 24
Petr Korda | 30
Carlos Moyá | 21
Marat Safin | 20
Goran Ivanišević | 29
Lleyton Hewitt | 20
Thomas Johansson | 26
Albert Costa | 26
Juan Carlos Ferrero | 23
Roger Federer | 21
Andy Roddick | 21
Gastón Gaudio | 25
Rafael Nadal | 19
Novak Djokovic | 20
Juan Martín del Potro | 20
Andy Murray | 25
Stan Wawrinka | 28
Marin Čilić | 25
Dominic Thiem | 27

# data[].attributes.body
Looking at the one variable statistics, I noticed there is a wide range of ages for the male winner of the grand slam titles. The youngest players to win were only 17, while the oldest player was 34. Even though there was a range of 17 years the standard deviation was quite low. It was roughly only a 3.8. This makes sense due to the mean being at about 23.5. Even though the data is skewed to the right, it is still roughly between the minimum and the maximum.

Looking at the line graph there appears to be slight peaks throughout the years. The highest peak within this data set was during the year 1972. This is when Andrés Gimeno won the French open. There are some troughs on the graph, however, the lowest drop is in 1974. This is when Björn Borg won the French Open. Although he was not the minimum age for winning a grand slam, he won only a couple years after the maximum age so the trough looks a lot lower visually on the graph.

It did not surprise me that most of the winners were between the ages of 21 and 24. This was most obvious in the either the histogram or the pie chart. I feel that these two were the best graphical representations of this data set. Both graphs showed that at this point in a person's tennis career they have enough experience, however, are still very in shape and have the agility to keep up with younger players. I was surprised that some people still win in their late twenties and thirties. It just shows that staying in shape and lots of practicing can help the players still perform well later in their careers.

The reason I chose this data set was due to the fact that I am a tennis fan. I have been to Wimbledon and I watch the grand slams and I wanted to learn more about the ages of the players. It always amazes me the players on either end of the spectrum winning a grand slam. I cannot even imagine being only 17 and being good enough to compete with people who have 10+ more years of experience.