UpSet plots are a data visualization method for showing set data with more than three intersecting sets. UpSet shows intersections in a matrix, with the rows of the matrix corresponding to the sets, and the columns to the intersections between these sets (or vice versa). The size of the sets and of the intersections are shown as bar charts.
In this #WOW challenge, watch me as I build this upset plot in Tableau.
Needing to create a high-level dashboard for the c-suite? Check out my 4 tips for corporate dashboards.
#WorkoutWednesday2019 week 6 is here | don't get fooled by the pretty trees, this chart can easily be re-purposed for a business setting and includes a few little formatting tricks for good measure | blog: https://t.co/5slLIhIukT | full viz: https://t.co/ueS0wPAOEC pic.twitter.com/8RfwrAKx1s — Ann Jackson (@AnnUJackson) February 6, 2019 Well this looks fun and new! TREES?!
Hello again! Welcome back and as always, thanks for reading!
For week 5 of #MakeoverMonday 2019, Andy has given us a stacked bar chart from the European Commission looking at the Digital Economy and Society Index scores for countries in the EU across 5 categories.
I think there’s a way that we preserve the ability to see and compare the cumulative indices AS WELL AS being able to compare each the individual parts.
I think a multi-dimensional dot plot is the best way to visualize this data. I remember WAY back in week 17 of 2017 (Apr. 24) of #MakeoverMonday that Tableau Zen Master, Matt Chambers created a dashboard that is extremely close to the one I want to build for this week. Back then we were comparing a list, compiled by LinkedIn, of skills in high demand. Here is what Matt created, click the picture for the interactive version:
He even wrote up a blog about highlight action piece.
I’m going to #StealLikeAnArtist and use this as a framework for what I’m going to build. Here is what I built. If you want to learn how I built it complete with data prep and calculations, I encourage you to continue reading below, otherwise, click the screenshot for the interactive version
After 51 weeks, we’ve finally made it to the last week #WorkoutWednesday for 2018. Ann is back for this challenge and she’s GONE ROGUE!!! No, just kidding, but she did stray away from the Superstore Sales dataset which is pretty cool. So here’s the challenge and a screenshot of the final dashboard: I’ve noticed this
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
I’m going back in time for this #WorkoutWednesday challenge to Andy’s 2017 week 53 which is being included in week 1 for 2018. This is all part of my goal of completing all 52 weekly challenges in 2018 along with all my other 2018 dataviz goals. So here we go, a few weeks late. The
It’s been a few weeks since I’ve blogged about #MakeoverMonday. But I’m back for this week. This week we’re looking at interesting dataset by the Fraser Institute who is responsible for determining and measuring the economic freedom of every country in the world. This is no small task. They score them on 5 different metrics
Week 6 of #WorkoutWednesday has us taking a looking at a dot plot across a product hierarchy. Here’s our challenge Requirements The dashboard size is 600px by 800px You must use Category and Sub-Category in your product hierarchy. Right-align each member in the hierarchy. Sort each level in the hierarchy descending by sum of sales.
How are NFL teams spending their money on player salaries?