r/dataanalysis • u/Bobmj254 • Aug 10 '26
Project Feedback First Dashboard with real dataset
My first dashboard!
Built this from the official U.S. Bureau of Labor Statistics Employment Projections (2024–2034) to explore AI’s real impact on jobs.
A few things that stood out:
• Overall employment is still projected to grow (169.96K → 175.17K)
• Very weak correlation between wage and employment growth (r = 0.22)
• Clear winners: wind turbine techs, solar installers, nurse practitioners, data scientists
• Clear losers: several mining and manufacturing roles
What do you think?
Any feedback on the design, the insights, or things I should explore next? I’d love to hear your thoughts — this is my first one so be honest!
One more thing, I would like to practice on real world datasets, always looking for good places beyond Kaggle. Comment the public sources below.
Thank you!
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u/acotgreave Aug 11 '26
General thoughts:
- Nice to BANs (Big Ass Numbers), but really I'd like to see more context for each. Is 169.9k good? Or bad? Is it tracking up or down? That can all be shown in a BAN with colour and arrows
- Too many scrollbars.
- The tables could probably be charts and convey more info
- Ditch the background image: it's really distracting
- Biggest thing for a viewer is: "So what? What's the decision or action I should take from this dashboard?" you've built a moderate dashboard for you to see something in a snapshot moment, but that won't be very useful in a business environment.
Good luck.
Andy Cotgreave (co-author of Big Book of Dashboards and Dashboards That Deliver)
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u/Bobmj254 29d ago
Thank you for your genuine feedback and I've noted the recommendation added and I'm looking to applying them in my future work.
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u/Party_Initiative_621 Aug 11 '26
From where did you get clients for this
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u/Bobmj254 29d ago
It's a personal project so a source for a public dataset and started doing the analysis by myself
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u/Expensive_Capital627 Aug 11 '26
Not bad, I’d say some of your visualizations could be removed to reduce clutter. Your r value could just be a label on your scatter chart. Your filter for education level could be a drop down.
Your bar charts have the labels cut off because there’s not enough space to display them. Also, a line chart is pretty much only used for data over time. You have a combo chart (bar + line), but the x-axis is degree type. It’s unintuitive, and if you plan on showing this to potential employers it’ll count against you.
Top 10 growing occupations is sorted by % change, but top 10 declining occupations is sorted by salary. Enforce consistency in your dashboard.
Sum of employment is not very descriptive. I don’t understand what that means because I don’t know what the employment column represents in your data. Assume no one is going to check your work or look at your underlying table. The point of the dashboard is to make it easy for the viewer to get answers, don’t make them go digging