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Common repository of projects for Playfair

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2016 Olympic athletes #203

Closed kbennion closed 7 years ago

kbennion commented 8 years ago

Update: using a new data source that will be easier to scrape (building a function to scrape the athlete URLs for each sport, then running them through requests and compiling the data into a dataframe). Collecting name, gender, birthdate, height, weight, and events. http://www.nbcolympics.com/api/v1/athletes.json?sport=AR

Graphic inspiration (height, weight, color-coded by event):

Story issue checklist

My pitch was (use the number): #177

[ ] My pitch has been approved (see PITCHING.md)
[ ] My story issue links to my pitch issue
[ ] I link to my finalized (ish) data source(s)
[ ] I've included a brief summary of my story
[ ] I've included some possible headlines or findings
[ ] I've included some links or images as inspiration (if you have any)
[ ] I have received two comments of peer feedback
[ ] I've included an update of my visualization/story in a comment
[ ] I have received two comments of peer feedback after posting an update
[ ] I have received editorial feedback

playfairbot commented 8 years ago

Hi there, I'm the Playfair Bot!

Thanks for posting your story issue, but would you mind adding editing the original issue to add the first draft of your image? You have my sincere apologies, but it's easier for dumb robots like me when the comments are only used for updates.

Thanks! :pray:

playfairbot commented 8 years ago

Hi there, I'm the Playfair Bot!

Would you mind linking to your pitch issue by using the '#1' method (but with your actual pitch issue number)? It'll hopefully help us keep things neat and organized.

Thanks a zillion! :pray:

skkandrach commented 8 years ago

I really like this idea! I think once you can get through the gritty part of collecting the data (which is obviously a pain) there is virtually an infinite amount of things you could analyze with this data set! I think it would be interesting to country's height and weight in certain sports since genetics often play a role in specific countries physical characteristics and compare it to the amount of athletes that country has in that sport. I look forward to seeing how this project turns out!

oargueso commented 8 years ago

Amazing... Once you have built the database, you will be able to use it a s many different ways! I would say if you want to compare athletes' weight and height for each sport, you may want to split it by gender: for certain sports, the differences between men and women can be huge and that may make the visualization hard if you are to plot it as a scatter plot.

mercybenzaquen commented 8 years ago

I love the idea! As I suggested in our discussion I would use small multiples to represent each sport and compare weights and heights for females and males. I think it could be cool to see how the difference is in sports like weight lifting compared to soccer. :)