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Showing posts with label national parks. Show all posts

June 7, 2017

Workout Wednesday: National Parks Have Never Been More Popular

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This week for Makeover Monday, we looked at a great viz from FiveThirtyEight. For Workout Wednesday week 23, your challenge is to rebuild it in Tableau, with a few twists (because I'm like that).

  • Dashboard must be 800x735
  • Everything will need to be floated in the dashboard to make it look right
  • Title, subtitle and viz must all be one worksheet
  • Footers are separate with a line separating them from the viz
  • Rank grid lines must be included at 1st, 25th, 50th and 75th. They must be labeled as I've done it.
  • Year grid lines should only be shown for 1925, 1950, 1975, and 2000.
  • Include an option for the viewer to pick a park to highlight
  • When (None) is picked from the highlighter, then it should show the default view (first image below).
  • When a park is selected from the highlighter, it should be the only line displayed and should be displayed as a black line (second image below) unless it's one of the default parks. In that case, it should retain its default color.
  • Align the highlighter as I've done on the bottom left of the chart.
  • Match the park names
  • Match the tooltips (pay attention to the park names)
  • Match the title and subtitle
  • Match the line labels
  • Viz and highlighter should be limited to National Parks and National Historical Parks
  • OPTIONAL: Use the Raleway font

I suspect will probably find building the bump chart fairly straightforward. The tricky bits are the coloring, highlighter, park names, labels and grid lines. Feel free to ask questions if you get stuck.

Click on either image for the interactive version. I've also included a video demonstrating how the final viz should work.

Get the data here. Good luck!



June 5, 2017

Makeover Monday: America's Most Visited National Parks

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This is a really exciting week for Makeover Monday. It marks the one year anniversary of the first Makeover Monday Live that Andy Cotgreave and I ran last year at TCOT London. This also means that Makeover Monday is live again at this year's TCOT London. These events are so much fun and an amazing way to introduce people to the project.

For week 23, we are looking at the popularity of America's National Parks. As an American, I've learned to cherish the amazing, free natural wonders sprinkled around the country. In particular, when we lived in California, we made it a point to visit Yosemite, Joshua Tree and the Grand Canyon amongst other places. They truly are worth a visit.

The viz that we are making over this week comes from FiveThirtyEight and it really quite fantastic, like most of their vizzes.


What works well?

  • Great use of highlighting
  • Including gridlines to help guide the eye
  • Noting the source
  • Nice use of a bump chart
  • Shows patterns really well
  • Subtitle explains how to interpret the viz
  • Colors are distinct enough to follow through the viz

What could be improved?

  • The title is very boring.
  • Lack of interactivity
  • How can I identify a park that's not highlighted? It would be nice to have a way to choose another park to highlight.
  • The top 6 parks are highlighted, but why are the others highlighted? It seems pretty random.
  • While this shows me the most popular parks, it lacks the context of how many visitors and how that has changed over the years.

What were my goals?

  • Focus on the top 25 parks
  • Focus on the last 50 years
  • Include the visitors to provide more context when comparing parks
  • Use a small multiples layout and try to recreate this viz that I highlighted on Data Viz Done Right
  • Include the total visitors somewhere so the reader doesn't have to figure it out
  • Create the entire viz in a single view (except the footers)

But then I had another question in my head: At State level data, how many States account for 80% of all visitors? For this, I created a simple Pareto chart. Two vizzes for the prices of one! Enjoy! Click on either image for the interactive version.


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