Introduction It’s good to be back WOWsers. This week is looking at showing missing selected periods and autosizing bars based on the selected period (Monthly, Weekly, Daily). It also gives Set Actions some love. The dates idea came from Michael McFadden. Click to open in Tableau Public Requirements Dashboard Size: 1000px by 600 px 2 …
Week 12 2020: Can you show missing selected periods and autosize bars? Read More
This week’s workout comes from a recent conversation I had. The goal was to figure out the best periods of sales (whether that was best days, best weeks, or best months) and to understand more context around those dates. Was the increase in sales driven by holidays or other external events, or perhaps it was …
Week 44: Can you build a Sales Calendar with top 3 highlighting? Read More
Congratulations for making it to the end of 2018 and the last workout of the year! This week I’ve spiced things up a bit and decided to use a different data set. The data you’ll be working with is a list of Nobel Prize Laureates from 1901 to 2018 (‘present’ at time of writing). And …
If you’ve ever worked with web Google Analytics then you’ve probably seen the cohort analysis chart. To me its the coolest information provided. This week were back with an intermediate and jedi options. Both look basically the same but the jedi forces your thinking to a higher level! Intermediate Build a cohort analysis heat …
This week Andy is back with a challenge and it’s very straightforward. You need to create two quarters starting with the month selected and show months for everything else. Requirements No Level-of-Detail calculations. No table calculations. The Q2 value must always appear after Q1. There are no spoilers this week. This week utilizes the Superstore …
Introduction EDITOR’S NOTE: This challenge was originally published on Emma Whyte’s Tableau blog which no longer exists. This challenge is republished here with the author’s permissions Working with continuous dates can be tricky in Tableau depending on how you want to display them. This weeks #WorkoutWednesday is inspired by a challenge from Data School superstar Neil Lord. Click …
