Overview
The Kaggle Sample Superstore dataset models a US retail business — orders, customers, products, and shipping across four regions. It's a common BI starting point because it's messy in instructive ways: some sub-categories are top-line revenue drivers that quietly lose money, and regional performance varies in ways that are invisible in aggregate totals.
This was primarily a Tableau learning project — connect a real business dataset, build calculated measures, and arrange visuals into a dashboard that a non-technical viewer can actually read.
Skills Demonstrated
- Tableau workflow — connecting data, defining calculated measures, assembling a dashboard
- BI judgment — deciding what information belongs together and what should be easy to compare
- Designing for the reader — keeping the result understandable for a non-technical viewer
Dashboard
Published on Tableau Public — the main artifact for the project. It gives a clear overview of the dataset and shows how layout and filtering choices decide whether a set of charts reads as a usable BI dashboard or just separate visuals.
Code & Artifacts
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Tableau Public: Sample Superstore Dashboard
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Dataset: Kaggle — Sample Superstore