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Your dashboard didn't do that. You did. 🌊 And 71% of them are failing - here's why.

New episode of unDUBBED is out now 🎧

👉 https://youtu.be/j5wZsghS9NU

#Dashboards #DataCommunication #DataFam #unDUBBED

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A gap chart showing U.S. and Saudi Arabia oil production in terawatt-hours from 1965 to 2024. The area between the two lines is shaded in two colors: warm gray before 2009, labeled "Production tracked closely," and steel blue after 2009, labeled "U.S. pulls ahead." A dashed vertical line marks the inflection point of the 2009 shale boom. The U.S. line ends at 10k TWh in 2024; Saudi Arabia at 5.9k TWh. An annotation notes that U.S. output is approximately 1.7 times that of Saudi Arabia. The chart illustrates a structural shift from decades of competitive parity to clear U.S. dominance following the shale revolution.

A gap chart showing U.S. and Saudi Arabia oil production in terawatt-hours from 1965 to 2024. The area between the two lines is shaded in two colors: warm gray before 2009, labeled "Production tracked closely," and steel blue after 2009, labeled "U.S. pulls ahead." A dashed vertical line marks the inflection point of the 2009 shale boom. The U.S. line ends at 10k TWh in 2024; Saudi Arabia at 5.9k TWh. An annotation notes that U.S. output is approximately 1.7 times that of Saudi Arabia. The chart illustrates a structural shift from decades of competitive parity to clear U.S. dominance following the shale revolution.

📊 #MakeoverMonday – 2026 W14 | Global Oil Production
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🔗: stevenponce.netlify.app/data_visuali...
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#rstats | #DataFam | #dataviz | #ggplot2

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Latest TUG is https://youtu.be/CYTsfnpTDIc

"The Human Elements of Health Data in an AI-obsessed world" by Amanda Makulec

LOTS of awesome content @ h̲t̲t̲p̲s̲://y̲o̲u̲t̲u̲b̲e̲.c̲o̲m̲/@T̲e̲a̲m̲D̲a̲t̲a̲F̲a̲m̲ #tableau #DataFam

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Latest TUG is https://youtu.be/Fhce9AmmN5c

Andrew Gutierrez presents "It's Who You Know": Using Tableau for Relationship Mapping.

LOTS of awesome content @ h̲t̲t̲p̲s̲://y̲o̲u̲t̲u̲b̲e̲.c̲o̲m̲/@T̲e̲a̲m̲D̲a̲t̲a̲F̲a̲m̲ #tableau #DataFam

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These are the tacos you’re looking for.

Sign up for Data+Tacos.

See you on May the 4th.

May the 4th be with you.

🔗 usergroups.tableau.com/events/detai...

#DataPlusTacos #TC26 #DataFam #MayThe4th

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The 2026 Vizzies Award Nominations The Tableau World Podcast established the Vizzies as a way to recognize individuals in the Tableau community who are not recognized through the visionary program. It is our goal that these awards are ...

Hey, #datafam! Voting for the #Vizzies is now open! For any datavizzers out there, take a moment and nominate your favorites for one of the #Tableau community awards!

Vote Here:
docs.google.com/forms/d/e/1F...

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Latest TUG is https://youtu.be/IrEZ_6S3bqk

LOTS of awesome content @ https://youtube.com/@TeamDataFam #tableau #DataFam

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Latest TUG is https://youtu.be/Yx1YGPSRE2s

O Observatório Caliandra é uma plataforma digital do Ministério Público de Mato Grosso.

LOTS of awesome content @ h̲t̲t̲p̲s̲://y̲o̲u̲t̲u̲b̲e̲.c̲o̲m̲/@T̲e̲a̲m̲D̲a̲t̲a̲F̲a̲m̲ #tableau #DataFam

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More data ≠ more value.

Better-curated data = better insights.

High-performing BI teams don’t connect to everything.

They model only what’s needed for decisions.

#datafam #dataanalytics

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A two-panel data visualization titled "Low-quality AI output is common — and it scales into millions in hidden cost." The left panel shows a horizontal stacked bar chart depicting the workforce workslop profile among AI-using workers (n ≈ 952). Segments are color-coded by severity: Heavy (7%, deep crimson), Regular (11%, burnt orange), Occasional (46%, amber), and None (36%, gray-blue). A bracket above the three non-zero segments highlights that 64% of AI-using workers send at least some workslop. The right panel presents a cost cascade in progressively larger typography: 2 hours per incident (average time to resolve), $186 per employee per month (invisible productivity tax), and $9 million per year for a 10,000-person organization (annual organizational cost). A footnote states that 17% of respondents who did not use AI at work are excluded. Source: BetterUp Labs and Stanford Social Media Lab survey of 1,150 U.S. desk workers, September 2025; Niederhoffer, Robichaux, and Hancock (2026), Harvard Business Review.

A two-panel data visualization titled "Low-quality AI output is common — and it scales into millions in hidden cost." The left panel shows a horizontal stacked bar chart depicting the workforce workslop profile among AI-using workers (n ≈ 952). Segments are color-coded by severity: Heavy (7%, deep crimson), Regular (11%, burnt orange), Occasional (46%, amber), and None (36%, gray-blue). A bracket above the three non-zero segments highlights that 64% of AI-using workers send at least some workslop. The right panel presents a cost cascade in progressively larger typography: 2 hours per incident (average time to resolve), $186 per employee per month (invisible productivity tax), and $9 million per year for a 10,000-person organization (annual organizational cost). A footnote states that 17% of respondents who did not use AI at work are excluded. Source: BetterUp Labs and Stanford Social Media Lab survey of 1,150 U.S. desk workers, September 2025; Niederhoffer, Robichaux, and Hancock (2026), Harvard Business Review.

📊 #MakeoverMonday – 2026 W13 | Why People Create AI "Workslop"
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🔗: stevenponce.netlify.app/data_visuali...
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#rstats | #DataFam | #dataviz | #ggplot2

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Latest TUG is https://youtu.be/LstAei4HnNY

Scott Eaton helps us choose and explain charts in Tableau when he presents "Dashboard design - Effective visual communication"

LOTS of awesome content @ https://youtube.com/@TeamDataFam #tableau #DataFam

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Most Tableau performance issues aren’t tooling problems.

They’re design decisions.

Poor scoping 👉 requests for more features, too much data 👉 poor performance.

Performance is a strategy, not a fix.

#datafam

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Latest TUG is https://youtu.be/dqokmB5y_y0

Iron Viz edition - 3 Iron Viz entrants will showcase their entries and explain their work and decisions in crafting their Iron Viz submission.

LOTS of awesome content @ h̲t̲t̲p̲s̲://y̲o̲u̲t̲u̲b̲e̲.c̲o̲m̲/@T̲e̲a̲m̲D̲a̲t̲a̲F̲a̲m̲ #tableau #DataFam

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Latest TUG is https://youtu.be/vSgIywkjwQA

"Turn Your Work Into Opportunity - From Doing the Work to Being Known for It"
Tableau Visionary Hall of Fame member Andy Kriebel shares the journey.

LOTS of awesome content @ h̲t̲t̲p̲s̲://y̲o̲u̲t̲u̲b̲e̲.c̲o̲m̲/@T̲e̲a̲m̲D̲a̲t̲a̲F̲a̲m̲ #tableau #DataFam

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🎉 New @tableaupublic.bsky.social viz for @mlb.com Opening Day! 🎉

With the new season here, I wanted to build a calendar to show the rhythm of the season with Tableau.

Included is location-based visual encoding and estimated team quality (via @baseball-reference.com).

#DataFam #DataViz #SportsViz

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Latest TUG is https://youtu.be/Bnc13THVAW0

Brittany Rosenau presents "Step Right Up - Create Your Own Community Data Project"

LOTS of awesome content @ h̲t̲t̲p̲s̲://y̲o̲u̲t̲u̲b̲e̲.c̲o̲m̲/@T̲e̲a̲m̲D̲a̲t̲a̲F̲a̲m̲ #tableau #DataFam

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Latest TUG is https://youtu.be/nWI2dv5Hj3A

Learn about Scott Eaton's journey in Tableau and how he gives back
See upcoming product improvements from Tableau's Blake Burgess

LOTS of awesome content @ h̲t̲t̲p̲s̲://y̲o̲u̲t̲u̲b̲e̲.c̲o̲m̲/@T̲e̲a̲m̲D̲a̲t̲a̲F̲a̲m̲ #tableau #DataFam

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Line chart showing estimated unemployed counts (thousands) in London from 2019 to early 2026, using 4-quarter rolling averages. Two lines are plotted: 16+ overall unemployment (dark navy) and 16–24 youth unemployment (dark red). Both lines declined through 2022–2023 before rising sharply after late 2024. The overall 16+ count reached 390k, and the youth 16–24 count reached 125.4k in the most recent period, leaving a gap of 264.5k — the largest in that period. Two shaded vertical bands mark the October 2024 Budget announcement and the April 2025 implementation of NIC and minimum wage changes, both of which coincide with the acceleration in unemployment counts.

Line chart showing estimated unemployed counts (thousands) in London from 2019 to early 2026, using 4-quarter rolling averages. Two lines are plotted: 16+ overall unemployment (dark navy) and 16–24 youth unemployment (dark red). Both lines declined through 2022–2023 before rising sharply after late 2024. The overall 16+ count reached 390k, and the youth 16–24 count reached 125.4k in the most recent period, leaving a gap of 264.5k — the largest in that period. Two shaded vertical bands mark the October 2024 Budget announcement and the April 2025 implementation of NIC and minimum wage changes, both of which coincide with the acceleration in unemployment counts.

📊 #MakeoverMonday – 2026 W12 | London Estimated Unemployment Rates
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🔗: stevenponce.netlify.app/data_visuali...
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#rstats | #DataFam | #dataviz | #ggplot2

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Heading to Tableau Conference ? This one's for you 🌊 Sessions, survival tips, and what nobody tells first timers.  

New episode of unDUBBED is out now
🎧👉 https://www.youtube.com/watch?v=Y25Ll6dXvQg

#TC26 #TableauConference #DataFam #unDUBBED

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Hiring vs. consultants isn’t the right question. The real question:

👉 Who can deliver value faster *in your current system*?

New hires learn the system.
Consultants diagnose it.
Different roles. Different speed.

#datafam

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Latest TUG is https://youtu.be/B_UUZzlYNoo

Community Spotlight
Jeffrey Shaffer

VOTD Author
Dennis Kao

LOTS of awesome content @ h̲t̲t̲p̲s̲://y̲o̲u̲t̲u̲b̲e̲.c̲o̲m̲/@T̲e̲a̲m̲D̲a̲t̲a̲F̲a̲m̲ #tableau #DataFam

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Latest TUG is https://youtu.be/P2GWfKTUy3A

Aspire, Inspire & Act with Data & Insights - Shouvik Nandy

Live Demo of Essential Dashboard Techniques - Phyllis

Go from zero to hero with Figma Make

LOTS of awesome content @ h̲t̲t̲p̲s̲://y̲o̲u̲t̲u̲b̲e̲.c̲o̲m̲/@T̲e̲a̲m̲D̲a̲t̲a̲F̲a̲m̲ #tableau #DataFam

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Latest TUG is https://youtu.be/5aJvLpwXrTE

Christina Gorga talks about the job market.

Celia Fryar presents "Action-Packed Dashboards: Designing Smarter User Experiences in Tableau"

LOTS of awesome content @ h̲t̲t̲p̲s̲://y̲o̲u̲t̲u̲b̲e̲.c̲o̲m̲/@T̲e̲a̲m̲D̲a̲t̲a̲F̲a̲m̲ #tableau #DataFam

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A three-panel chart about the world's fastest cars. The top two panels are diverging bar charts showing deviation from the median in cost per horsepower (left) and speed per horsepower (right). Burgundy bars indicate worse value; steel blue indicates better value. The Bugatti Chiron SS 300+ is the most expensive per horsepower at +$1,151 above median, while the Rimac C Two and Hennessey models sit below median cost. The bottom panel is a waffle chart showing the total units produced for all eight cars. Each dark gray square represents one car built against a light gray grid of equal size, making rarity directly comparable. The Rimac C Two leads with 150 units; the Hennessey Venom GT is the rarest at just 13 units.

A three-panel chart about the world's fastest cars. The top two panels are diverging bar charts showing deviation from the median in cost per horsepower (left) and speed per horsepower (right). Burgundy bars indicate worse value; steel blue indicates better value. The Bugatti Chiron SS 300+ is the most expensive per horsepower at +$1,151 above median, while the Rimac C Two and Hennessey models sit below median cost. The bottom panel is a waffle chart showing the total units produced for all eight cars. Each dark gray square represents one car built against a light gray grid of equal size, making rarity directly comparable. The Rimac C Two leads with 150 units; the Hennessey Venom GT is the rarest at just 13 units.

📊 #MakeoverMonday – 2026 W11 | Fastest Cars in the World (2026)
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🔗: stevenponce.netlify.app/data_visuali...
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#rstats | #DataFam | #dataviz | #ggplot2

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Measuring AI-gen code volume is the new vanity metric.
They create the appearance of control and accountability. And that's actually worse than measuring nothing, because it gives everyone permission to stop asking harder questions.

#datafam

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Latest TUG is https://youtu.be/qt2BsHqvSHk

The Community Spotlight is Ann Stolzman.

Cristian Saavedra presents "Dashboard to Dialogue: Getting Started with Tableau MCP"

LOTS of awesome content @ h̲t̲t̲p̲s̲://y̲o̲u̲t̲u̲b̲e̲.c̲o̲m̲/@T̲e̲a̲m̲D̲a̲t̲a̲F̲a̲m̲ #tableau #DataFam

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Latest TUG is https://youtu.be/VrCxvswFRRI

Data Modeling, Connections, and Data Prep

LOTS of awesome content @ h̲t̲t̲p̲s̲://y̲o̲u̲t̲u̲b̲e̲.c̲o̲m̲/@T̲e̲a̲m̲D̲a̲t̲a̲F̲a̲m̲ #tableau #DataFam

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Latest TUG is https://youtu.be/h3ag4g9DRXA

Anish Bhatt presents "Coffee Supplier Dashboard"

LOTS of awesome content @ h̲t̲t̲p̲s̲://y̲o̲u̲t̲u̲b̲e̲.c̲o̲m̲/@T̲e̲a̲m̲D̲a̲t̲a̲F̲a̲m̲ #tableau #DataFam

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Latest TUG is https://youtu.be/8lxPfrplIBE

Jeremy Paytas presents "Approaches to Effective Data Storytelling"

LOTS of awesome content @ h̲t̲t̲p̲s̲://y̲o̲u̲t̲u̲b̲e̲.c̲o̲m̲/@T̲e̲a̲m̲D̲a̲t̲a̲F̲a̲m̲ #tableau #DataFam

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Latest TUG is https://youtu.be/Hq30va_sHr4

Ready for a Women’s Day event that skips the fluff?

Opening Keynote
Eva Fors

Fireside Chat:The Reality Check
Deep-dive on today’s data landscape

LOTS of awesome content @ h̲t̲t̲p̲s̲://y̲o̲u̲t̲u̲b̲e̲.c̲o̲m̲/@T̲e̲a̲m̲D̲a̲t̲a̲F̲a̲m̲ #tableau #DataFam

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