Check out the Kansas City Tableau User Group
Cerner, T-Mobile, AMC Theaters, YRC Freight What do these companies have in common? They are all Tableau customers and are based in the KC Metro! Click to join our active local community!
Cerner, T-Mobile, AMC Theaters, YRC Freight What do these companies have in common? They are all Tableau customers and are based in the KC Metro! Click to join our active local community!
We all know how amazing and diverse this community is, I want #DataPlusMusic to be this community’s local record shop – join us to discover the new, reminisce the classics, debate the best & the worst. And learn a few things along the way! because this…is #DataFam Vinyl
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Wow! Just WOW! Another TC has come and gone and with it, another week of inspiration, injection and good ‘ole fashioned gumption It’s pretty difficult to come away from TC without having new tips and tricks in your Tableau arsenal or without a few new ideas of how to solve that pesky calculated field that’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.
For week 20 of #MakeoverMonday, we’re looking at traffic data. Europe traffic data to be specific. Check out the original below: What works well Title Axis is labeled Contextual notes are footnoted Columns are easy to read What could be improved I’m constantly confused by the colors, I keep looking for a legend only to
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
After a small hiatus, I’m back. It was a good break but I’m excited to get back into this. It’s week 14 of #MakeoverMonday and we’re taking a look this chart and table on Worldwide Wine Production What works well The title is good The units are shown. They are explained earlier in the PDF
In the essence of sharing knowledge, I wanted to share a way that I got around a problem I was having with a dashboard at work. For this post, I’ll be using the Sample Superstore data source that comes with Tableau. I’ve attempted to isolate and replicate my issues as closely as possible. The Problem
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