Hi everyone,
I just published a new visualization analyzing the relationship between logistics and regional profitability using a classic Superstore dataset, and I would love to get your feedback and critiques!
I wanted to explore: How does the relationship between shipping costs and profit margins vary across different US states? My goal was to test whether high shipping rates are driving specific regional markets into negative profitability.
How I Built It:
- X-Axis: AVG(Shipping Cost) to look at the typical expense of shipping a package to that state.
- Y-Axis: AGG(Profit Margin) using a custom calculation (SUM(Profit) / SUM(Sales)).
- Color: Red-Green Diverging palette based on profit margin to highlight the baseline break-even mark.
- Size: SUM(Sales) to show the total revenue volume and risk scale for each state.
What I’d love feedback on:
- Clarity: Is the scatter plot format easy to interpret for proving a relationship, or would a map style view actually have been better?
- Visual Encoding: Does using the size of the bubbles for total sales make the financial impact clear, or does it make the grid feel too cluttered?
- Design/Formatting: Any tips on improving the label placements or formatting to make it look cleaner and more professional?
I appreciate any notes, pointers, or formatting tricks you can share!
Thanks!
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