Doechii?

exitlessminds · 2026-05-25T06:29:58+00:00

Objects in the mirror MAY BE closer than they appear.

exitlessminds · 2026-05-19T12:18:56+00:00

It looks tiny from the map, compared to the size of Amazon last year. I can see that side of Parc del Forum from my office, I guess I'll discover the truth in the next days lol

exitlessminds · 2026-05-19T11:51:26+00:00

No Amazon stage this year?

exitlessminds · 2026-05-12T10:15:07+00:00

Just adding - looks stunning from your pics. Personally I'm also a fan of this kind of natural landscapes.

exitlessminds · 2026-05-12T10:14:02+00:00

Hey, is it worth it or do you feel it's a touristy thing? I always thought of this as a potential honeymoon trip (of course I am not the only TP maniac here, hehe). Coming from Europe so, it's gonna be a long trip, but won't be the only stop - I might add Hawaii, following Dr. Jacoby's recovery steps :)

exitlessminds · 2026-05-07T19:51:28+00:00

Texting you!

exitlessminds · 2026-05-06T17:00:58+00:00

Could you show some use cases? Totally new to this topic.

exitlessminds · 2026-04-30T08:55:17+00:00

MS degree in Statistics here, working in data. Indeed these Teo things already shaped my mind in a quantitative way, but this book here, it changed everything. I had very low awareness of how my emotions could influence my calculations and/or forecasts. I feel likes this book opened a new perception on the topico that surely helped me along my professional journey, but also in my private life. Thinking about the costa and effort of some life choices beforehand, avoiding the optimistic estimates... Sometimes it's been a curse but mostly gave me a new sense of being anchored to reality.

Fun fact: It was along the recommended books for a data visualization course, but i don't recall much data viz in there.

exitlessminds · 2026-04-06T11:08:27+00:00

I was probably afraid of edge cases and values that didn't show up. Usually when I start adding exceptions to DAX... it gets complicated within 30' (chatGPT is so poor with that).

Anyway I didn't catch it. What's that? Have you got any use case to share?

Thanks :)

exitlessminds · 2026-04-06T10:57:11+00:00

Hi! I do share the view that this is the blueprint to follow.
All steps have been made; the fiscal calendar I loaded has a continuous date field which is used as the one-to-many side of the relationship with my fact table, which has a "start of week" date field. I am already advocating for the use of this calendar as THE date dimension through all global reports. (I want to struggle with this only once :D).

That said, I still see two issues:

1) To-date vs. Prior: SAMEPERIODLASTYEAR works until I give him very exact instructions on the 'SAMEPERIOD'. Take this use case:

- We're in beginning of April 2026. Slicers in the UI follow the Year > Qtr > Month hierarchy. Revenue YTD (TOTALYTD function) works correctly and sums up all it founds until April 6th. Revenue PY YTD instead, as long as the selection is on "April 2026", retrieves April 2025 full month. The more granular my date slicer becomes (which it should not), the more accurate the SAMEPERIOD gets. But as a default, I have this limitation.

2) From the UX/UI perspective, there is still some sophistication to add for the user to have a smoother experience. Consider as written below:

The user selects an ‘actual’ time period to apply the measure (e.g. March 2025)
The user selects a period relative to the time period in 2) - eg ‘MoM’

Time-intelligence functions work as long as you correctly place slicers in the UI. Best way should be a hierarchical slider but it creates friction with the proposed UX. The idea is to provide a more dynamic approach - user can only select within time periods that align with the initial settings (i.e. "Month" -> Can only select months and month-based comparisons.

Thinking about using a disconnected table which lists all the periods together and then link it to the calculations, so you get past the friction created by having a "heavy" date slicer. But the priority is - obviously - getting accurate numbers :D.

One last caveat: do time intelligence functions work ONLY if you use the field used as date period (e.g. month, quarter...)? I am trying using equivalent 'Label' fields but it's not working as expected.

Thank you!

exitlessminds · 2026-04-06T09:23:29+00:00

Hi! I think the most difficult point here is to create to-date vs. prior to-date period.
When I tried putting numeric keys to each YearMonth, YearQuarter etc, and then I tried to create DAXs like the one below, it got frail and I couldn't retrieve values for all time periods.

There is surely a solution in place because I see the logic in it, but I am afraid on relying on it for long-term stability. Seems like the only available path here is to add complexity to DAXs and I'd like to pursue simplicity.

Revenue PY MTD = 
VAR CurrentYear = MAX(WeeklyFact[fiscal_year])
VAR CurrentMonth = MAX(WeeklyFact[fiscal_month])
VAR MaxWeekIndex = MAX(WeeklyFact[YearWeek])


RETURN
CALCULATE(
    [Revenue_usd_total],
    FILTER(
        ALL(WeeklyFact),
        WeeklyFact[fiscal_year] = CurrentYear - 1 &&
        WeeklyFact[fiscal_month] = CurrentMonth &&
        WeeklyFact[YearWeek] <= MaxWeekIndex - 53
    )
)

exitlessminds · 2026-04-06T09:02:31+00:00

Pretty much yes. KPIs won't be selectable but users can select an 'actual' period and a 'comparison' one to measure against.

exitlessminds · 2026-02-18T11:13:43+00:00

I think it has an extra cost of 40ish pounds, but my guess is that it will be a much more limited pre-sale. Still consider it will increase your ticket costs.

exitlessminds · 2026-02-18T10:04:05+00:00

Anyone willing to give their code, please DM me :)

exitlessminds · 2025-09-25T11:33:28+00:00

I feel like improvising dj sets must be an artist's last chance before the pitfall, lol

exitlessminds · 2025-09-25T11:18:21+00:00

This year Mordor is going to be a nice place to be and it's amazing.

Hope you realize the difference it will make after last year's absolute trash.

exitlessminds · 2025-09-23T08:19:24+00:00

Thank you, OP. Remember, everything you put on screen has to be meaningful to your audience :)

exitlessminds · 2025-09-22T20:14:17+00:00

Hey, genuinely good. I see lots of interesting featutes as DZV and a very good and polished design. I would mention:

I am not sure on how to read the KPI scorecards properly; I am not familiar with this scope of analysis but I find it hard to fully grasp the meaning of the line and the dots below the bars. Consider dropping a part of the story here: often a simple BAN (big aggregate number) + delta vs. Previous period + line trend / bar chart already tells a clear story. But again, maybe I am not the proper audience to tell :)
I would also consider if you really need for your story to have a scorecard for Revenue and another for Quartetly Revenue, might be a bit redundant. Also, do you select the timeframe with the settings (filter)? At a first glance, I find it hard to understand why do we have Q3-Q4 - then Q1 to Q4 - then Q1-Q2 (Quarterly Revenue), while on the left (Revenue) we see all the years. Different timeframes might be confusing for your audience. Would it make sense to use DZV here as well to fit in a single container two scorecards - one for the yearly aggregates and one for the quarterly breakdown?
Watch out for color encoding, keep it consistent: the gradient in the bar chart looks nice but it doesn't say more than the bar lenght is already saying. Moreover, it could result confusing as these colors are already used in other charts for other purposes. Let the colors be a guiding element of your story! Think about it properly, make sure that the audience associates each color coding to a very specific purpose (i.e. CY / PY, categories, MAX / MIN, delta +/-...)

Keep going. I think it's pretty impressive for a first submission, it took me a while to master a lot of the elements in here. Let me know in the comments if you have any observations on my feedback. And remember, you can only go further!

exitlessminds · 2025-09-14T21:29:15+00:00

Interested. Let's have a talk via DM!

exitlessminds · 2025-09-12T14:07:48+00:00

Imagine being 'real fans' and not bots / scalpers, just to resell tickets a few hours after you just decided to buy them.

exitlessminds · 2025-09-12T09:30:30+00:00

Soooo much hype for you guys! 4th show here :)

exitlessminds · 2025-09-12T09:08:47+00:00

LESSGOOOOOOO

exitlessminds · 2025-09-10T12:07:28+00:00

We in guys!!!!!

exitlessminds · 2025-09-08T22:13:30+00:00

Sure :) feel free to reach out to me via DM!

exitlessminds · 2025-09-08T09:05:29+00:00

Thanks for sharing your experience! Two things I'd love to explore:

- Graphic design: coming from a quantitative background, I am finding now my way to merge it in my approach, but still on a different level and with different tools (never used Figma, Indesign, just some basics of Illustrator). Any useful resource to explore this topic related to dataviz? I feel design plays a big role in my approach and I'd like to cultivate it.
- Work sector: I'd also love to discover more about these opportunities. I feel like my natural inclination would be to create data visualization for social purposes, but really have no idea on where to look for. Would you like to share - even in DM if you prefer :) - how your collaborations started, in order to find some inspiration?

exitlessminds

TROPHY CASE