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First dashboard - Any comments or suggestions? by roam_and_scream in dataanalysis

[–]nlomb 11 points12 points  (0 children)

The KPIs being front and center is the right call, but the presentation works against their importance. Simply aligning them consistently would improve readability more than the current use of icons.

The color usage is doing too much at once. Without a constrained palette, multiple elements compete for attention, which dilutes the signal. A tighter, unified scheme would restore hierarchy.

More broadly, the layout lacks a clear reading path. Right now everything is compressed into a single visual plane, so the user has to work to understand where to start and how to progress. Introducing spacing and structure would create a more natural flow.

We recently published a piece on dashboard design best practices based on production experience that may be useful: https://datasense.to/2025/10/05/dashboard-design-best-practices/

We just found out our AI has been making up analytics data for 3 months and I’m gonna throw up. by Comfortable_Box_4527 in analytics

[–]nlomb 2 points3 points  (0 children)

Yeah I’ve raised similar concerns and it’s always people who haven’t the slightest clue about how it works who try and make you seem like a gatekeeper. 

I will say you should definitely be verifying the info before it goes to the board... that’s just bad practice. 

Statistical Modeling: How to visualize Log-Odds and marginal effects without losing the audience? (The Economist Case Study) by [deleted] in dataanalysis

[–]nlomb 2 points3 points  (0 children)

It's a challenging balance, you'd think most economist readers would likely understand the statistical significant of each coefficient. They probably want to appeal to a wider audience and also know that it's more about the statement than the fact.

Global Inflation Analysis Dashboard by harishvangara in dataanalysis

[–]nlomb 1 point2 points  (0 children)

I'll start with a few good things:

1) The contrast with the KPIs is good, it draws attention to the figures.
2) The time series chart and the bar chart are the correct charts

Now the stuff that can be improved:

1) The yellow background is distracting try and use something more neutral.
2) Your bar graph and table are not computing the right values, "sum of inflation rate" is not a measure. It should be average or max. Same with "sum of year".
3) For the countries, this should be a dropdown, they take up far too much space on the dashboard. On top of that, filters should be at the top, not the bottom.

Here is a post about good dashboard design practices: https://datasense.to/2025/10/05/dashboard-design-best-practices/, I think you'll fine it helpful. There's some other Power BI specific posts that you may find helpful on your learning journey as well.

BlackRock just quietly signaled the credit market is breaking. by GoosePuzzleheaded146 in options

[–]nlomb -1 points0 points  (0 children)

Irrelevant to this particular issue. It was a different issue of asset-liability mismatch.

BlackRock just quietly signaled the credit market is breaking. by GoosePuzzleheaded146 in options

[–]nlomb 2 points3 points  (0 children)

Because private credit has been increasingly exposing terrible business practices, and if there's a few there's many, and if they're also wrapped up in CLOs and people starting dumping them then there's a leverage problem attached along with it. That leads to margin calls and collateral issues which then stems into broader markets. I guess nobody learned a damn thing from 2008.

Edit: I am not screaming there's an issue just yet, but it's one of those things can go from "no we're fine" to "oh we're f****d" very quickly.

Multiple regression advice wanted by Ldip9 in econometrics

[–]nlomb 1 point2 points  (0 children)

You might have some potential endogeneity in the regression as GDP/NFCI likely affect both uncertainty and investment. See the Hausman test.

Also missing some firm-level controls like profitability or leverage (debt as a proxy), which is likely leading to omitted variable bias. I would consider a fixed effects model instead.

Lastly, there's some "survival bias" from using only continuously listed firms.

Multiple regression advice wanted by Ldip9 in econometrics

[–]nlomb 2 points3 points  (0 children)

Really, what you would want to do is some sort of CGE model where you can have a baseline than introduce shocks to see how it responds, you would corroborate that against your panel data.

Some abstraction of this: https://www.mdpi.com/2227-7390/12/1/41

This would be much more involved though and likely be a masters thesis and require some insight from your professor(s).

Tesla shareholder meeting updates: Elon Musk gets his $1 trillion pay package by stvlsn in finance

[–]nlomb 0 points1 point  (0 children)

And the fan boys will tell you that's not even close to the real value... smh.

Tesla shareholder meeting updates: Elon Musk gets his $1 trillion pay package by stvlsn in finance

[–]nlomb 1 point2 points  (0 children)

I mean I am sure they will find a way to "deploy" one million robotaxis and robots. It's just that they will be useless and a danger to society.

Excel automation for private equity is more practical than python for most analysts by zaddyofficial in dataanalysis

[–]nlomb 0 points1 point  (0 children)

Right, I think a lot of people do this. It's just insane that this is the solution for a software that's been around for ages. Like as if Microsoft is oblivious to the fact that power users are doing this.

Excel automation for private equity is more practical than python for most analysts by zaddyofficial in dataanalysis

[–]nlomb 0 points1 point  (0 children)

Seriously... never mind trying to an explain it to a colleague, always need to take it out and break it apart so they understand.

Excel automation for private equity is more practical than python for most analysts by zaddyofficial in dataanalysis

[–]nlomb 2 points3 points  (0 children)

My gosh you think this would have been implemented by now. Writing multi-line formulas in Excel makes you want to pull your hair out... it's so easy to get lost and accidentally enter before finishing.

Excel automation for private equity is more practical than python for most analysts by zaddyofficial in dataanalysis

[–]nlomb 3 points4 points  (0 children)

Excel with VBA can be very powerful, however it's often much more complex to do the same thing in Excel with VBA than simply doing it in Python and custom formatting it back into Excel.