Introduction Thanks to tools like Tableau MCP, AI can now handle deep-dive data analysis for us. Ask it “why is this metric dropping?” and you’ll get a pretty solid answer. But before that step — noticing that something looks off in the first place — that’s still on us, looking at a dashboard. This week, […]
#WOW2026 | Week 5 | KPI Trend Monitor with Period Comparison Read More »
Introduction Cohort analysis is always fun to try and figure out how to show enough information without dumping every cohort onto a chart. This challenge looks at cohorts of when a first purchase was made (Superstore data), and subsequent sales to those customers. Are there certain cohorts that continually spend more money? Do certain cohorts
#WOW2025 | Week 11 | Can you find Sales per Customer by First Purchase Cohort? Read More »
Introduction Deciding how to best use the limited space on a dashboard is always a challenge. I’ve often struggled with practical issues, especially regarding the placement of filters. This time, let’s create a brush filter as one way to use the chart itself as a filter. Enjoy the challenge and have fun trying it out!”
#WOW2024 | Week 40 | Can you create a brush filter? Read More »
Introduction This week’s challenge was inspired by a lively discussion I was a part of, covering what date calculations a data analyst should or should not know. We’ve already covered several common ones, such as the current time period vs the prior time period. So this week, I wanted to add another to the list:
2024 Week 30 | Sigma: Can you show partial or whole months? Read More »
Introduction Hello there! I’m Yoshi and I joined the WOW Tableau coach team this year.I’ve been participating in the WOW challenges since 2020, so I am really honored to be one of the coaches. Here’s my first challenge for you: let’s practice datetime calculations and data densifications. This week, we deal with dummy data regarding
#WOW2024 | Week 10 | Can you visualize when it gets busy? Read More »
