The winners have been announced.
Visualize Big Apples
See Yourself in New York
Food. It shapes our lives, mood and behaviors. What do we eat, and why do we eat it? We're challenging you to come up with great visualizations of diet and nutrition that make it easier to understand how food relates to our life. We have a panel of great datasets, two killer challenges and some of the best judges in the business. You could win a trip to the Strata Conference in New York or other great prizes.
There are two datasets that can be used for the challenges below.
Nutrition Data: This table contains nutrition and ingredients data for 125 randomly selected grocery store items.
Ingredients: This table contains detailed ingredients about the 125 randomly selected grocery store items listed above.
Data provided by foodfacts.com.
There are two challenges. You may enter either, both, or neither. If your choose neither, don't complain if you don't win.
This is a real contest with official rules. Commit them to memory, put them on flashcards. Whatever strikes your fancy, but do take them seriously.
If you’ve read the rules in their entirety and gone over the FAQ’s, you have a question that needs clarification, please email us.
Challenge 1) Delicious Storylines
For this challenge, your goal is to present a clear, compelling story that engages and opens a reader’s mind to new ideas and raises questions, or answers them. Entries may be interactive, but don’t need to be. Static images, videos, or interactive websites can all accomplish the goal.
Your Visualization in this category should tell a story and will be judged on the following criteria: clear development of a data-based storyline, properly use of data presentation fundamentals, artistic quality, and innovative and impactful conclusions.
Here are some examples that we feel represent this category well:
- Mint.com's A Visual Guide to the Federal Reserve
- David McCandless’ Radiation Dosage Chart
- Oil'd on Vimeo
Challenge 2) Dig in
The challenge for this category is to enable freestyle exploration of the food data. The goal of this portion of the challenge is to allow the user to explore and form their own conclusions about one or more of the food datasets. You may allow the viewer to filter the data or select subsets in which they are interested.
Your entry in this category must be interactive and will be judged on the following criteria: flexibility to explore multiple questions, breadth and depth of data exposed, ease of use, proper use of data presentation fundamentals, and innovative use of interactivity.
The goal of this challenge is to allow a viewer to explore and find their own conclusions about one or more of the food datasets. You may allow the viewer to filter the data or select subsets they are interested in.
Your creation will be judged on ease of use, the ability to for viewers to flexibly ask and answer multiple questions, artistic design, and properly and accurately represented data.
The following examples represent this category of visualization well:
Each of the challenges will be judged by a trio of good eggs.
Nathan Yau: Nathan provokes and inspires discussion about vizualization at flowingdata.com. Nathan is a PhD candidate in Statistics in his spare time.
Amanda Cox: As graphics editor of the New York Times, Amanda has advanced the art of data presentation. She has done more to get good data stories in the hands of curious readers than anyone.
Chris Gemignani: Chris is a co-founder of Juice Analytics and a disciplined and opinionated pixel-bender.