antitoine / adaepfl-project Goto Github PK

under task #7.
Compute informations about weather, altitude, ... on selected races

This part of the study will focus on all runnings of Lausanne Marathon, between 1999 and 2016.

Examples of analysis to be done:

• evolution following the years (performance);
• potential effects of groups on the performance of runners (comparison between single runner/groups of runners);
• global visualisation including weather, sex of participants, distance, speed, ...;
• influence of the weather (this analysis will be detailed in #5).

Study over the years on the individual performance.
Effect of the weather, altitude on the performance.
Visualisation using multiple variable such that weather, altitude, distance, speed.

Under tasks of #7
Compute new attributes (age, distance, gender, speed)
Performance analysis

Chose some people from previous scraping #2 and #3, and extend data by searching with the unique identifier of the runner (acode) to get all data of him.
See extraction of runs with an acode

Get and store all "Lausanne Marathon" between 1999 and 2016:

• Lausanne Marathon 2016 #2
• Lausanne Marathon 2015
• Lausanne Marathon 2014
• Lausanne Marathon 2013
• Lausanne Marathon 2012
• Lausanne Marathon 2011
• Lausanne Marathon 2010
• Lausanne Marathon 2009
• Lausanne Marathon 2008
• Lausanne Marathon 2007
• Lausanne Marathon 2006
• Lausanne Marathon 2005
• Lausanne Marathon 2004
• Lausanne Marathon 2003
• Lausanne Marathon 2002
• Lausanne Marathon 2001 ⚠️
• Lausanne Marathon 2000 ⚠️
• Lausanne Marathon 1999 ⚠️

Make some prototypes on new technologies.
The idea is to choose the most efficient one and have some samples to share code to other members of team.

Review of the about section on the website #6.

After finish the Lausanne 2016 study #1, we need to review all comments of the notebook/website (#6).

After #2 scraping data from datasport focus on Lausanne Marathon 2016:

• Study around Women/Men differences in running time
• Categorical analysis (distance) with the speed

Under tasks of #7

Study parameters who have an impact on the performance of runners.

Website of project: https://antitoine.github.io/ADAEPFL-Project/

Create a website which will include two main parts:

• project presentation (introduction, description of pipeline, summary of data scheme, ...);
• results (detailed statistics for Lausanne marathon (2016), analysis of marathon over the years, final and global graph).

Website will use JavaScript libraries and, if possible, use multiple pages.

Example of website: https://sites.google.com/site/atb10kbridgerace/home

In the presentation website #6 :
When we resize the window the left menu have a strange behavior.
In addition, in some position, the text is cut on the right.

Add dynamic graphics in the last part of the Lausanne 2016 study of the presentation website #6 , using mainly ng2-charts ( #4 ).

Get and store data from the datasport website, focus on:
DataSport Lausanne Marathon 2016

Review of comments on notebook and website (#6) of #7 and #15.

After finish the Lausanne 1999-2016 study #8, we need to review all comments of the notebook/website (#6).

The presentation website #6:
When we change the current page displayed, there is no scroll to the top (of the new page).

Review of the main section on the website #6.