Note 21-12-2016:
For stats (made with R and Power BI) of last edition of this race, see this post:
http://worktimesheet2014.blogspot.com.es/2016/12/carrera-de-la-empresas-2016-madrid.html
Yesterday, so Sun. 13 Dec. 2015, the 10K run "Carrera de las Empresas" was held here in Madrid.
In this 'business run', companies (teams of collegues) compete in 18 categories (dimensions: number of runners in team (2,3,4), gender team-members (men, women, mix) and distance (6, 10 km)). I also wanted to participate with my company, Ilunion (coparate group ONCE), like I did last year, but unfortunately this time I could´t because I was injured. For the 2014 edition of this run I made an Excel with the results but I never published it because of time problems, but I thought to finish it last sunday, so although I did´t participate, my mind was with the race..
In the 2014-edition there were in total about 9000 runners (about 300 teams) from about 800 companies, For more info about the run, see:
http://www.carreradelasempresas.com/
http://www.expansion.com/2014/12/14/entorno/1418574269.html
and for some photos:
http://www.expansion.com/albumes/2014/12/15/xvi_carrera_de_las_empresas/index.html
and for some statistics:
http://www.runedia.com/cursa/201419683/carrera-de-las-empresas-10k-actualidad-economica/2014/
In fig.1 you can see the result, and, as always, in the end of this post you can find the
download-URL´s of the Excel(s).
fig.1 statistics result (finish times) 10K run
So my Excel only has statistics of the 10K run, which (netto/chip-) finish-times I got from this PDF:
http://estaticos.expansion.com/opinion/documentosWeb/2014/12/23/ABSOLUTA%2010K.pdf
As you can see in this PDF, for each runner his team is normally specified as:
Name company +´'-' + number or letter, e.g. my team was named Ílunion-26.
I wanted to create also statistics about the companies (number of runners per company), so first I transformed the data of this PDF to get the company of a runner, so for my row in this Excel the transformation was: team Ílunion-26 -> company Ílunion. Then I calculated in the Power Pivot datamodel, with a DAX-formula 'distinct count' the number of companies (687) derived from the field team (total: 1848), see fig.2.
fig.2: calculating data 'Company' (EquipoDef) from field 'Team' (Equipo).
And then I created a statistic 'total runners per company', see fig.3 for top 25 companies
(with most runners). NB: I don´t know if 'TR' is a company-name or maybe a dummy-value.
fig.3: total runners per company
I wondered if there was a correlation between the number of runners of a company and the best 'total-times' of a team (of 2,3 or 4 members). I used the category '10K - 2 (male) runners per team' to test this, see fig.4 for the result, which shows the correlation is weak (-0.15, so far for the max (negative) correlation of -1). And in the graph (scatter-plot) you can see that companies with about 30 runners or more always have a total-time (sum of time of runner 1 (best runner of company) and runner-2 (2nd best runner of company) lower then 5000 sec, which is not the case for smaller companies (in the 'bin' of companies with 2 to 10 runners, the slowest total-time is about 8000 sec.). Although in this category, the winner was a team of a company with only 2 runners, from New Balance. I guess they run on NB-shoes, so this run can be a nice way to get some free promotion...
fig.4: correlation between the number of runners of a company and the best 'total-times' of a team
Downloads:
#Mirror 1: Google Drive (zip files with 2 Excel and PDF files):
#Mirror 2: Microsoft Onedrive (1 Excel file):
NB: this site has 'Excel-Online', so you can view my Excel-doc if you don´t have MS Excel on your PC
#Mirror 3: Scribd.com (1 PDF file):
https://es.scribd.com/doc/293387909/Statistics-10km-Run-CarreraEmpresas2014-v2-R1
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