Where does all the money go?
Of the top 97 US metropolitan areas, five are spending more than half of their median income on a mortgage.
Of the top 97 US metropolitan areas, five are spending more than half of their median income on a mortgage.
Another #WorkoutWednesday challenge and Rody’s back. One of the reason’s I really like #WorkoutWednesday is the authors do a great of creating challenges to: Challenge you to grow your technical skills Explore new or lesser known functionalities of the Tableau This week is no exception as Rody is challenging us, piggy-backing off of last week’s
Scenario: Your chilling at home one evening scrolling through Twitter when you read an interesting tweet. Something about that tweet piques your interest and if you’re a #dataviz person like me, your first thought is “how can I visualize this?” then you might ask yourself “does data exist?” or “how hard would it be to
For week 24 of #MakeoverMonday, we’re looking at Tourism Density for select countries around the world. The data comes to us from Intrepid Travel. Here’s how they originally visualized this data: What works well I like the panel/grid look They did a good job separating the two categories of countries There’s a lot of text
Sports predictions are pretty worthless but it gives us fans something to debate but there’s no value and should not be trusted.
Week 16 of #MakeoverMonday was a special one. Eva and Andy were doing a live makeover session at the London Tableau User Group. The fine folks who run that group, Sarah Bartlett & Pablo Gomez, decided to live stream the event! So after figuring out the time difference and clearing my schedule, I was able
For week 15, we’re looking at a very topical dataset. The National Snow & Ice Data Center has taken daily sea ice coverage measurements dating back to the late 1970’s. Recently, they created the visual below from the data: What works well The time to insight is very low with this visual. I know exactly
It’s March which means it’s time for another #SWDChallenge from Cole Knaflic, author of the widely popular “Storytelling With Data” book and blog. Each month in 2018, Cole challenges the dataviz community to create a visualization following a specific theme. This month, the challenge is bar charts. Bar charts are simple and probably the most
March is Women’s History Month and #MakeoverMonday has partnered with Equal Measures 2030 for week 10. And we’re looking at what and how well policymakers know about issues concerning women and girls around the world. Here’s the original: What works well The layout is easy to read The colors are consistent The labels/legends are easily/quickly
A good challenge that was not as hard as I was making it.