Analyzing World Running Times

Andrie de Vries looks at average speed for different mens’ running events:

However, it seems that there might be two kinks in the line:

  • The first kink occurs somewhere between the 800m distance and the mile. It seems that the sprinting distances (and the 800m is sometimes called a long sprint) has different dynamics from the events up to the marathon.

  • And then there is another kink for the ultra-marathon distances. The standard marathon is 42.2km, and distances longer than this are called ultramarathons.

The analysis is done in R, and the code is available in the post.  Check it out.

Related Posts

CSV Import Speeds With H2O

WenSui Liu benchmarks three CSV loading methods in R: The importFile() function in H2O is extremely efficient due to the parallel reading. The benchmark comparison below shows that it is comparable to the read.df() in SparkR and significantly faster than the generic read.csv(). I’d wonder if there are cases where this would vary significantly; regardless, […]

Read More

Spark And H2O

Avkash Chauhan shows how to use sparklyr and rsparkling to tie Spark together with the H2O library in R: In order to work with Spark H2O using rsparkling and sparklyr in R, you must first ensure that you have both sparklyr and rsparkling installed. Once you’ve done that, you can check out the working script, the […]

Read More

Categories

January 2016
MTWTFSS
« Dec Feb »
 123
45678910
11121314151617
18192021222324
25262728293031