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Feedback on my first data analytics dashboard / portfolio project
▲ 4 r/datavisualization+1 crossposts

Feedback on my first data analytics dashboard / portfolio project

https://preview.redd.it/ntnfxvszivjh1.png?width=1305&format=png&auto=webp&s=4d3d35f66a28bd4629fc8fbb700e1e6ba6f87b1e

Hey everyone,

I've been learning data analysis for about a month now, and this is my first proper portfolio project.

It's a supermarket sales dashboard built entirely in Excel using a Kaggle dataset. The dataset isn't perfect, but I wanted to use it as a starting point to practice cleaning data, building KPIs, PivotTables, slicers and visualizing the results.

I'd really appreciate some feedback on it:

  • Does the dashboard answer useful business questions?
  • Are any of the charts or KPIs misleading/unnecessary?
  • What would you improve about the layout or design?
  • What analysis would you add to make this a stronger portfolio project?

It took me about a week to finish, which felt a bit long, but I'm still new so I'm assuming I'll get faster with practice.

I'm learning SQL now and planning to move into Power BI next, so eventually I'd like to build something similar using SQL + BI.

reddit.com
u/Accurate_Data4642 — 4 days ago
▲ 4 r/datavisualization+1 crossposts

Roast my dashboard - post a screenshot, get an actual teardown

Most feedback threads get you "looks clean, maybe try a different palette." that's politeness, not feedback.

post a screenshot here and I'll take it apart properly.

Screenshot is enough. blur anything confidential, I don't need real numbers to check whether they're internally consistent.

three things to include:

  1. who it's for, exec / analyst / ops team
  2. the one question it's meant to answer
  3. what you already suspect is off

that third one matters. "tell me what you think" gets a worse review than "I think the top left card is doing nothing"

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u/data_daria55 — 4 days ago
▲ 9 r/datavisualization+2 crossposts

Anyone got a good Data Studio dashboard for tracking Search Console and/or Analytics?

I have been experimenting with creating a Data Studio dashboard that pulls Search Console metrics. There a several free templates online, but they are quite basic.

I am trying to figure out which key metrics to include to monitor client sites quickly and easily. I am moving into an SEO role at an agency, and previously I just monitored my own site through Search Console. That is too time consuming yo poke around at scale with multiple client sites.

Some ideas I have are tricky to implement as a beginner, so it’s trial and error with ChatGPt help.

Does anyone have a good dashboard they have created with Search Console and/or Analytics worth sharing?

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u/thinkit_doit — 6 days ago
▲ 34 r/datavisualization+2 crossposts

My Second Dashboard - Review plz!

Hey Guys,

I'm a medical coder transitioning into Data analytics. I've created a dashboard with power BI using a synthetic dataset. This is my second dashboard. ( I tried to implement some of the suggestions that ppl have given for my first dashboard).

Kindly share your review on this? Any tips or suggestions please!

u/roam_and_scream — 7 days ago
▲ 57 r/datavisualization+1 crossposts

Built a Power BI dashboard for supply chain & retail analytics — feedback welcome!

Hi everyone,

I’ve been working on a Power BI dashboard using the DataCo Supply Chain dataset, with the goal of turning supply chain and retail data into actionable business insights.

What do you think of the dashboard and the overall analytical approach?

  • Are there any important KPIs or business questions that I’m missing?
  • Is there anything you would add, remove, or redesign?
  • Do the visualisations communicate the insights clearly?
  • Are there any areas where the analysis could go deeper?
  • Does the dashboard feel useful from a business/decision-making perspective rather than just being a collection of charts?

Any suggestions, criticism, or ideas for improvement would be greatly appreciated. Thanks in advance!

I’ve documented the complete analytical approach, including the data preparation, SQL analysis, DAX measures, dynamic narrative, dashboard design, and business insights, here:

https://medium.com/@daniel.h.nguyen24/from-supply-chain-data-to-strategic-insights-building-a-business-intelligence-dashboard-for-a-57097b6f404d

u/DoorSad4889 — 8 days ago
▲ 1 r/datavisualization

Interactive dashboard

Interactive Dashboard Builder – Looking for Brutally Honest Feedback

Hi everyone,

I've been building a tool that creates interactive dashboards from Excel files in just a few clicks. This is still an early project, and I'm looking for honest feedback and ideas from people who work with data every day.

Current workflow

  1. Upload a clean Excel (.xlsx/.csv) file.

  2. Describe what you want in plain English (or let AI generate the prompt).

  3. Choose:

    - The KPIs you want to track.

    - The filters you need.

    - The chart types you prefer.

  4. The tool automatically builds a shareable interactive dashboard that can be viewed through a link.

My goal

I'm not trying to build "just another dashboard tool."

I want to solve real, everyday reporting problems and save people hours of manual work.

I'd really appreciate your thoughts:

- What reporting task do you repeat every day or every week?

- What dashboard do you wish existed but doesn't?

- Which industry needs this the most?

- What feature would make you switch from Excel, Power BI, Tableau, or Looker?

- If AI could automate one reporting task for you, what would it be?

I'm still learning, so every suggestion good or bad is valuable.

If your idea is practical, I'd love to build it and share the result with the community.

Thank you for your time!

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u/shamimfazlani — 7 days ago
▲ 22 r/datavisualization+1 crossposts

Data Analyst Pointers

If you're a Data analyst or someone experienced in that field help me how to bulid a dashboard first should I look for questions that can be answer if so people online like in linkedin are posting dashboard with multiple pages so I am confused how a real data analyst project looks like.

And give out some pointers like what are the things you guys are dealing with being a data analyst, what's important to learn for a person looking to land a job in that field.

Thank you in advance.

reddit.com
u/Sliversolid — 10 days ago
▲ 51 r/datavisualization+3 crossposts

I made an automated dashboard

I developed a script to automatically download and plot spreadsheet and Garmin fit data to produce a daily dashboard. Feedback on opportunities for improvement welcome. Comments about wasting my time will be treated as junk mail.

Edit: 1000 views later... not. one. upvote. 😆 you folks are like my Scottish grandmother who gave me a nickel after I spent two hours mowing her lawn in 1978. "Now go buy yourself a Coke, dear."

u/No-Committee-7953 — 10 days ago
▲ 18 r/datavisualization+1 crossposts

Made a Power BI table visual with per-column filters, search, and CSV export — free, looking for feedback

Made a custom table visual for Power BI, mainly to get per-column filtering into it — the built-in table doesn't have that, and I kept rebuilding the same slicer workaround on every report. So now there's a visual where you click a column header and get a checkbox filter + search, like an Excel table.

Also threw in while I was in there:

  • global search box across every column
  • CSV export that respects whatever's currently filtered
  • colour scale + data bars on the same column (native only lets you use one, and it doesn't update when you filter)
  • pagination with your own page size, instead of an endless scroll
  • one-column font/colour/background override without needing a conditional-formatting rule for it
  • totals row, drag to resize/reorder columns, saves with the report

Free — download it straight from simplyvisuals.github.io, nothing to sign up for. Email's on there too, but that's for custom work — edits to this one, or a different visual built from scratch.

This one came out of a specific annoyance, not a plan to build a table visual. If you've got your own version of that — some Power BI gap you keep working around instead of fixing — tell me about it. I like building fixes for stuff like this and might take a shot at yours too. Check the site for updates or reach out directly.

Feedback wanted either way: what's broken, what's missing, what looks wrong on your actual data. Thanks!

reddit.com
u/MicroWorkouts — 9 days ago
▲ 1 r/datavisualization

I built a customizable stock market dashboard. Check it out!

I’ve been working on this customizable financial-market dashboard for the past few weeks and would love some feedback specifically from a data visualization perspective.

The idea is that there isn’t really a single “correct” market dashboard. Someone following a handful of tech stocks may want a completely different information hierarchy than someone watching indices, FX, commodities, or their own portfolio.

So I built the interface around a resizable grid where users can decide what gets visual priority and create their own layouts.

The screenshot here is my personal setup. I want it to feel closer to a market command center than a traditional consumer finance app, but without crossing the line into visual noise.

A few things I’m especially curious about:
1. Does your eye naturally find the important information?
2. Are the red/green sparklines doing enough work visually, or is the screen relying too heavily on color?
3. Does the hierarchy between the larger asset cards, individual stock charts, news, watchlist, and positions make sense?
4. At what point does this become too information-dense?

I’m the developer/designer of it, so feel free to tear the UI apart. That’s genuinely useful to me.

It’s called EQDash. I just launched it, but I’m mainly posting here because I’d like feedback on the visualization and dashboard design rather than the finance side of it.

Here’s also a video of me using it and showcasing how to build a dashboard.
https://www.loom.com/share/fa8e474167ae45e99ada9e09bcd8283f

Check it out!
https://eqdash.com

u/l0gicgate — 10 days ago
▲ 7 r/datavisualization

whats the best data visualization tool?

been getting more into data analytics at work and realized I really enjoy the visualization side of things. rn I’m mostly using excel and Google sheets, but I know there are way better tools out there for creating cleaner n more interactive visuals.Used napkin ai ,beautiful ai few weeks back and they were pretty good but I am looking for other tools or more feedback on such ai's if anyone has used them.
what’s the best data visualization software you’ve used and why? hopefully something that’s beginner friendly but still powerful enough to grow with as I get more advanced.

reddit.com
u/unusual_art2021 — 13 days ago
▲ 5 r/datavisualization+1 crossposts

What would be the most interesting visualization of this video-game locations dataset?

I’m collecting structured data about real-world locations represented in video games.

I already have an interactive map, but I’m interested in visualizations that reveal patterns beyond a collection of map markers.

For example, the same city can appear across different games and genres:

Ace Combat Infinity
Tokyo | JP | city | Action | representative

Midnight Club II
Tokyo | JP | city | Racing | representative

Tekken 5
Tokyo | JP | city | Fighting | representative

The dataset also contains very different location types:

The Crew Motorfest
Haleakalā Observatory | US | observatory | exact

2014 FIFA World Cup Brazil
Arena das Dunas | BR | stadium | exact

Battlefield 1
Achi Baba | TR | natural_feature | approximate

I would appreciate feedback from data-visualization practitioners:

  1. Would repeated appearances of the same city across genres make a useful network or matrix visualization?
  2. Would you compare genres with location types, or would that risk overstating patterns in a small sample?
  3. How should exact, representative, and approximate coordinates be visualized together?
  4. Which question would produce a stronger visualization than simply showing the most common countries?
  5. Would a timeline, small multiples, network graph, or map-based analysis be most useful?
  6. What would make the project more than “pins on a map”?

Dataset and map: https://vglocations.org/

Thanks for your feedback!

u/Phaser-Duck — 11 days ago
▲ 1 r/datavisualization

Should we understand the data before building the dashboard?

I’ve been thinking about the way we approach data analytics.
Tools like Power BI make it possible to quickly build interactive reports and dashboards from your data. And that’s great when you already know what you want to measure and communicate.
But sometimes, especially when working with a new dataset, the bigger challenge is different:
What is actually interesting in this data?
Before deciding which visuals belong in a dashboard, I prefer to explore the data first:
• What are the distributions?
• Are there unusual values or outliers?
• Are two variables related?
• Are there interesting correlations?
• What patterns appear across different groups?
• Are there trends I didn’t expect?
For example, a scatter plot or box plot might reveal something you didn’t know was there. Once you discover that pattern, you can decide whether it deserves a place in the final dashboard.
This is the idea behind the Analysis Workspace in Elldy.
The workflow I’m exploring is:
Data → Explore → Find patterns → Understand → Select insights → Dashboard
Rather than starting with:
“Which dashboard should I build?”
Start with:
“What is my data telling me?”
I don’t see this as Power BI vs. Elldy. Both can be useful for different purposes.
I’m more interested in the analysis-first approach.
How do you normally work with a new dataset — explore first, or start building the dashboard?
#DataAnalytics #DataAnalysis #DataVisualization #EDA

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u/SamSurnakanti — 11 days ago
▲ 7 r/datavisualization+1 crossposts

Dashboard review

Lets discuss! u/_lovey28

First, purely analytical arithmetical (thats where you lose a stakeholder's trust)

Your dashboard uses "sales" to mean two different things without saying so. Total Pizza Sales is units, Total Sales by Category is units, but the donut is revenue. You can prove it without leaving the screenshot: Classic is 14,888 of 49,574 units, which is 30.0%, and no slice in the donut goes above 26.91%. So one chart is money and its neighbour is pizzas, under nearly identical titles.

Then, your two time labels follow different rules. "5-7pm" covers hours 17 and 18, two peaks, correct. But "12-1pm" is one hour, while your lunch peak is also two, 12 and 13. Same convention, so it should read 12-2pm.

Your Top 5 axis probably doesn't start at zero, worth opening the file to check, because the bars look like a landslide and the actual gap between first and fifth is 3.3% (2,453 vs 2,371). Force the minimum to zero and then rewrite the takeaway, because there isn't a best seller

Now insights.

Day of week barely matters; hour of day matters! Variation across weekdays is about 9%, across hours about 32%. Four hours (12, 13, 17, 18) carry 45% of all orders against 27% if the day were flat. Your left panel gives both equal billing, but that is not correct

And the one worth digging into: units and revenue don't rank your categories the same way. Classic is the volume leader at 30.0% of pizzas but only 26.91% of revenue, so your biggest seller is your cheapest. Add a revenue-per-pizza column.

u/data_daria55 — 12 days ago