![]() In top of that I provided an additional distribution context, using a KDE piled plot () with an orthogonal arrangement of the dots. In the absence of poor/rich definition, I split the countries list in two, using the median calculation and I highlighted top/bottom 25 countries from both ends of the range. ![]() This design uses Global Finance article contents found with the title: The World's Richest and Poorest Countries. The article describes their reasons for using per capita GDP, adjusted for purchasing power parity (PPP) to rank the world’s richest and poorest countries for 2016 followed by a table showing the computed values.Īs the title suggests, the reader is invited to explore the list of Richest and Poorest countries, so I decided to show how a variation of Zvinca plot can be used to provide this information in a compact space, providing the full context of all values. This chart can encode far more values than a regular dot plot or any other categorical related chart by using a layering/wrapping technique. For this purpose I used an alternative to Cleveland dot plot that was introduced by Stephen Few in 2017 under Zvinca plot. This is one of the reasons I am using the dot charts family way more often than any other form of display and when I have the time I study and write about different ways to improve that. For this month I decided to submit you a second design that shows an exploratory approach for simultaneous access to both distribution tails. Being involved in making sense of business ERP data, I always face high cardinality of data (many distinct values) that makes the usual categorical graphs to fail. I rarely have the luxury to deal with small amount of values. Scroll below to see this month's deluge of dots! The next monthly challenge will be announced here after the Labor Day holiday in the states on September 5th and will run through September 12th. Check out the #SWDchallenge page for the latest, including a recap of previous months' challenges and submissions. png) to we'll work to include any late entries this week (just a reminder that tweeting on its own isn't enough-we unfortunately don't have time to scrape Twitter for entries, so emailing is the sure way to get your creations included). If you tweeted or thought you submitted one but but don't see it here, email your submission (including your graph attached as. ![]() To everyone who submitted examples: THANK YOU for taking the time to create and share your work! The makeovers are posted below in alphabetical order by first name (+ last initial when needed we omitted full last names in respect of those who would rather remain anonymous). While I encourage you to browse through all, a few others that caught my eye in particular were Silvia's "natural listeners," Tiago V's exit poll breakdown, Paul W's "LeBron effect", and weather in Kat's new home city. Some of the examples graph a ton of data without feeling overwhelming (see Dan's poorest & richest countries, Jason's MLB best and worst, and Nick's wintertime golf weather). There were several examples of tails used well to show directionality (check out David, Louise, and Tom's submissions, also Brett uses empty and filled in circles to clearly depict then vs. ![]() those they are interested in developing, Ella uses a dot plot to depict staff engagement, James shows varying handling time across call centers, and Lea makes her client happy with a dot plot illustrating their apps outperforming competitors'.Ī handful got creative, replacing the standard dot with flowers made of Play Doh ( Amy), team logos ( Charles), tomatoes, popcorn & trophies ( RJ), and flags ( Tim). There were a number of work examples shared: Courtney finds some interesting gaps between the skills employees see as important vs. More than 50 people shared their creations, many using their dots to depict point in time and group comparisons. I always enjoy seeing the variety of topics, and in this month's challenge we saw a good amount of sports (MLB, college football, NBA, soccer, Tour de France), currency comparisons, wine and movie ratings, gender inequality, elections, facts from Factfulness ( Lisa) a guitar chord chooser ( Ben) and even Yahtzee game scores ( Chris). This month, you were challenged to plot data with a dot-a dot plot, to be exact.
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