scraping – anderswallin.net

Jämsä-Jukola statistics

Here's the distribution of total time for teams in the Jämsä-Jukola relay:

Here are the distributions of individual times for the seven legs of the relay.

The histogram from the first leg shows bunching of runners into groups - this is different from all the remaining legs.

The 2nd and 3rd leg look quite similar. Note how the histograms lean to the left - there are many amateurs of varying ability which contribute to the long tail to the right.

The 4th and 5th legs are shorter and faster.

The 6th leg is again longer with the final 7th leg being the longest of them all.

Scraping scripts (requires minor modifications to downloaded results html file): jukola_scrape

Stockholm Marathon statistics

Histrogams of finishing times scraped from the official website with these scripts: sthlm_scrape

Some more of these over here: https://picasaweb.google.com/106188605401091280402/StockholmMarathonJune22012

HCR2011 statistics

Using the same scraping scripts I wrote after last years marathon, it was fairly easy to scrape the HCR website and produce some histograms.

There are two python scripts, one that crawls the web (urllib) and finds the time-data (BeautifulSoup and re) and writes to a file (cPickle), and another that reads the files and plots (matplotlib) histograms: hcr2011_scrape

Helsinki City Marathon

Been there, done that, have the medal, have the T-shirt!

It was hot and it was humid. I also had a strange ache in both my knees and my ankles which towards the end made each step forward painful. I was doing OKish through 30km and a bit further, but after that the walks at the drinking stations became longer, and I walked the uphills towards the end. Finished in 4h 42min. The breakup into 20k/10k/5k times shows how I got more tired towards the end:

The first 20k took 2h1min and the second 2h 23min.

The first 10k took 59min, 2nd 62min, 3rd 67min, and 4th 76min.

5k times: 29min, 30min, 30min, 31min, 33min, 34min, 36min, 40min

Temp(left) and humidity(right) data from FMI for around 15-19 o'clock shows T=23-25 C and RH=70-80% at least.

In colder weather, with a bit more training, and without the knee-ache, the next goal must be to break 4h!

Update: the finishing times are distributed like this:

This histogram was produced by scraping the results website with one python script and the plotting the results with another.

Download the scripts hcm_scrape.tar (works on Ubuntu 10.04LTS) hcm_scrape.tar

A whole series of histograms are on picasa: http://picasaweb.google.com/anders.e.e.wallin/HCM2010Statistics#