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Showing posts with label wages. Show all posts

December 1, 2019

#MakeoverMonday: How have annual wages changed for union vs. non-union employees?

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Four weeks to go with Makeover Monday 2019. We've had lots of interesting vizzes to makeover and lots of interesting data. This week, I wanted to pick a simple visualization and simple data.


What works well?

  • I like the handwriting font. It makes the viz look fun.
  • The colors are distinct enough.
  • Using shading on the title as a legend

What could be improved?

  • Some hands are holding another, some are not. What does that mean? Does two hands mean union? If so, I don't understand why they join where they do.
  • Using weekly wages is a tough concept to grasp. Why not convert it to annual wages?
  • The viz is clearly not designed for any sort of precision or comparison.

What I did

  • I really liked this Viz of the Day recently by Spencer Bauke and thought this was a good data set to try to emulate his work.
  • I wanted to use parameter actions to allow the user to change the comparison year.
  • I also wanted to use set actions like Spencer did, but this data wasn't structured in a way that made sense to try to do that.
  • This turned out to be very good practice for LOD expressions.
  • I loved using containers to lay all of this out!! It's a lot of work, but much easier to get everything to line up and all be the same size.

Here's my Makeover Monday week 49. Click on the image for the interactive version.

January 14, 2019

Makeover Monday: Workers Making Minimum Wage or Less in America

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For Makeover Monday week 3, the Community is making over the viz below from Business Insider. I had bookmarked this data set back in 2016 and stumbled across it again over the weekend. I was then able to get more data from the Bureau of Labor Statistics for 2002-2017. Win!


What works well?

  • Maps are easy to understand
  • Positioning of Alaska and Hawaii in the available space
  • Including notes about the data in the footer
  • Simple, effective title
  • Using a single color gradient; a diverging palette would not be appropriate

What could be improved?

  • Ranges are not the same size
  • Smaller States are nearly impossible to compare; this is a good use case for a hex or tile map
  • No context for good vs. bad

What I did

  • Looked at the data over time
  • Included a comparison to the US average for context
  • Included all States for context
  • Allowed the user to highlight the State they are interested in
  • Included labels on the ends to the lines to show change over the entire period

August 10, 2015

Makeover Monday: 12 Ways to Visualize the Gender Gap of Federal Workers

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Good friend Nelson Davis provided another great makeover example for this week. It started with this tweet from Jon Schwabish:

As I was thinking about this makeover, I couldn't settle on a single best way to visualize this data. I did know, though, that these moons/pies/donuts/dots needed to communicate more effectively. I've come up with 12 alternatives, each of which works way better than the original. The reason there are 12 is because there are multiple ways to display the dimensions based on the story you want to emphasize. And yes, I could have come up with another 12.

Special thanks for Carl Allchin for his feedback and help with the text on the tabs in the story points.