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Showing posts with label vegetarian. Show all posts

June 8, 2020

#MakeoverMonday Week 23 - Frequency of Meat-Free Consumption by Brits in 2019

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Week 23 was a pretty straight forward data set. It focuses on the frequency with which Brits of different diet types have consumed meat-free foods. Somehow meat-eaters have NEVER eaten meat-free food. No fruits or veggies? Ever? 

And what about the vegans? This data says they most frequently eat meat-free food weekly. Huh? They're vegan; they eat meat-free food every meal. 

I'm skeptical of this data. Anyway, here's my viz.

December 9, 2018

Makeover Monday: How much land is needed to produce our food?

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This week Eva chose a data set about the amount of land it takes to make one gram of protein. For example:

  1. A 9oz/251g steak contains 62g of protein. 
  2. Multiply that by 1.02m² (the amount of land needed to produce 1g of steak) 
  3. It takes 63.25m² of land to produce ONE STEAK. That's 678ft² for my American friends. 

SERIOUSLY! WTF! 


That's like a one bedroom apartment for every 10oz steak. That's ridiculous and a major reason why I went vegetarian 18 months ago.

Let's have a look at this week's chart:


What works well?

  • Using a descending bar chart for ranking from largest to smallest
  • Labeling the ends of the lines for more precision
  • Simple title

What could be improved?

  • It took me several times to read the subtitle to make sense of it. Something simpler would be helpful.
  • Remove the gridlines
  • Remove the axis

What I did

  • Recreated the waterfall chart that I had to create for Workout Wednesday week 49
  • Used color to highlight the food types that come from animals; I used red to represent bad (my opinion)
  • Change the title into the form of a question
  • Included a BAN to summarize the findings

With that, here's my Makeover Monday week 50.

September 24, 2017

Makeover Monday: Restricted Dietary Requirements Around the Globe

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This week we head back to a simpler data set. The data this week comes from Nielsen's "What's in our food and on our minds?" report. Specifically, we're taking a look at this visualisation on page 8:


What works well?

  • Consistent ordering of the countries within each diet type
  • Colors are easy to distinguish from one another
  • Arcs, while not best practice, are engaging and capture your attention
  • Subtitle that explains what the viz is about

What could be improved?

  • Comparing the length of arc is difficult, especially across diet types.
  • The icons are not needed since each diet is already labeled.
  • The story in the data is lost as it's not included along with the charts.

My goals

  • Simplify the visualisation; bar charts are a good place to start.
  • Turn the text from the previous page that explains the findings into a story of some sort, probably long form and not story points.
  • Remove the icons

With those goals in mind, here's my Makeover Monday week 39.

June 11, 2017

Viva Las Vegans! An Iron Viz Entry

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Whenever Eva is in town we do our best to go to lunch together. One of our challenges is finding places she can eat as a vegan. So when the latest Iron Viz qualifier was announced and the data had to be about animals or plants I thought I would take a bit of creative license and create a viz that can be used by any vegans or vegetarians headed to DATA17 in Vegas.

This also gave me a chance to test the new web data connector from data.world. One of the data sets is a list of over 18,000 restaurants that serve vegetarian or vegan food in the US. I took this list, narrowed it down to Las Vegas, eliminated and closed restaurants and joined it to a Excel files that has the websites for each restaurant.

It's not anything too complicated nor flashy, but here's to hoping that practicality and usefulness is important to the judges as well. I've also designed it for mobile!

Enjoy!

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