Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback)
A high-signal read built around data visualization, psychology, analytics, storytelling. It feels current because it aligns with read, 2026, excerpt, yet timeless because it focuses on fundamentals.
ISBN: 9798286983858 Published: May 12, 2025 data visualization, psychology, analytics, storytelling, communication
What you’ll learn
Turn psychology into repeatable habits.
Build confidence with communication-level practice.
Connect ideas to read, 2026 without the overwhelm.
Spot patterns in communication faster.
Who it’s for
Curious beginners who like gentle explanations. Ideal if you like practical notes and action lists.
How to use it
Use it as a reference: revisit highlights before big tasks. Bonus: share one quote with a friend—teaching locks it in.
The book rewards re-reading. On pass two, the analytics connections become more explicit and surprisingly rigorous.
Omar Reyes • Data Engineer
Feb 14, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The storytelling sections feel super practical.
Nia Walker • Teacher
Feb 11, 2026
If you care about conceptual clarity and transfer, the 2026 tie-ins are useful prompts for further reading.
Omar Reyes • Data Engineer
Feb 14, 2026
It pairs nicely with what’s trending around excerpt—you finish a chapter and think: “okay, I can do something with this.”
Jules Nakamura • QA Lead
Feb 16, 2026
I didn’t expect Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback) to be this approachable. The way it frames data visualization made me instantly calmer about getting started. (Side note: if you like WebGL Compute (Paperback), you’ll likely enjoy this too.)
Lina Ahmed • Product Manager
Feb 13, 2026
The stephen tie-ins made it feel like it was written for right now. Huge win.
Nia Walker • Teacher
Feb 16, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the psychology arguments land.
Lina Ahmed • Product Manager
Feb 9, 2026
I’ve already recommended it twice. The data visualization chapter alone is worth the price.
Leo Sato • Automation
Feb 7, 2026
I didn’t expect Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback) to be this approachable. The way it frames communication made me instantly calmer about getting started.
Lina Ahmed • Product Manager
Feb 8, 2026
Okay, wow. This is one of those books that makes you want to do things. The psychology framing is chef’s kiss.
Nia Walker • Teacher
Feb 9, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the data visualization arguments land.
Omar Reyes • Data Engineer
Feb 8, 2026
It pairs nicely with what’s trending around romance—you finish a chapter and think: “okay, I can do something with this.”
Nia Walker • Teacher
Feb 17, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the storytelling arguments land.
Harper Quinn • Librarian
Feb 13, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The data visualization sections feel super practical.
Iris Novak • Writer
Feb 16, 2026
Okay, wow. This is one of those books that makes you want to do things. The communication framing is chef’s kiss.
Sophia Rossi • Editor
Feb 9, 2026
I’ve already recommended it twice. The psychology chapter alone is worth the price.
Iris Novak • Writer
Feb 10, 2026
I’ve already recommended it twice. The analytics chapter alone is worth the price. (Side note: if you like Wired Minds: Reverse Psychology and Manipulation in the Digital Age (Paperback), you’ll likely enjoy this too.)
Theo Grant • Security
Feb 15, 2026
Practical, not preachy. Loved the communication examples.
Samira Khan • Founder
Feb 13, 2026
The book rewards re-reading. On pass two, the storytelling connections become more explicit and surprisingly rigorous.
Noah Kim • Indie Dev
Feb 12, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The analytics sections feel super practical.
Samira Khan • Founder
Feb 16, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the psychology arguments land.
Harper Quinn • Librarian
Feb 11, 2026
I didn’t expect Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback) to be this approachable. The way it frames communication made me instantly calmer about getting started.
Ava Patel • Student
Feb 13, 2026
A friend asked what I learned and I could actually explain it—because the communication chapter is built for recall.
Benito Silva • Analyst
Feb 12, 2026
Practical, not preachy. Loved the storytelling examples.
Maya Chen • UX Researcher
Feb 15, 2026
The book rewards re-reading. On pass two, the data visualization connections become more explicit and surprisingly rigorous.
Zoe Martin • Designer
Feb 14, 2026
If you care about conceptual clarity and transfer, the stephen tie-ins are useful prompts for further reading.
Jules Nakamura • QA Lead
Feb 13, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The storytelling sections feel super practical.
Iris Novak • Writer
Feb 11, 2026
Okay, wow. This is one of those books that makes you want to do things. The storytelling framing is chef’s kiss.
Harper Quinn • Librarian
Feb 15, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The communication sections feel super practical.
Nia Walker • Teacher
Feb 15, 2026
If you care about conceptual clarity and transfer, the time tie-ins are useful prompts for further reading.
Harper Quinn • Librarian
Feb 9, 2026
I didn’t expect Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback) to be this approachable. The way it frames psychology made me instantly calmer about getting started.
Ethan Brooks • Professor
Feb 11, 2026
A solid “read → apply today” book. Also: romance vibes.
Sophia Rossi • Editor
Feb 15, 2026
The 2026 tie-ins made it feel like it was written for right now. Huge win.
Ethan Brooks • Professor
Feb 8, 2026
Fast to start. Clear chapters. Great on communication.
Ava Patel • Student
Feb 16, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The communication part hit that hard.
Benito Silva • Analyst
Feb 11, 2026
A solid “read → apply today” book. Also: read vibes.
Maya Chen • UX Researcher
Feb 11, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the communication arguments land.
Omar Reyes • Data Engineer
Feb 13, 2026
I didn’t expect Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback) to be this approachable. The way it frames storytelling made me instantly calmer about getting started.
Ethan Brooks • Professor
Feb 15, 2026
A solid “read → apply today” book. Also: excerpt vibes. (Side note: if you like WebGL Compute (Paperback), you’ll likely enjoy this too.)
Noah Kim • Indie Dev
Feb 16, 2026
I didn’t expect Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback) to be this approachable. The way it frames psychology made me instantly calmer about getting started.
Iris Novak • Writer
Feb 13, 2026
I’ve already recommended it twice. The storytelling chapter alone is worth the price.
Harper Quinn • Librarian
Feb 12, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The analytics sections feel super practical.
Noah Kim • Indie Dev
Feb 15, 2026
I didn’t expect Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback) to be this approachable. The way it frames analytics made me instantly calmer about getting started.
Omar Reyes • Data Engineer
Feb 13, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The psychology sections feel super practical.
Jules Nakamura • QA Lead
Feb 7, 2026
I didn’t expect Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback) to be this approachable. The way it frames storytelling made me instantly calmer about getting started.
Samira Khan • Founder
Feb 12, 2026
The book rewards re-reading. On pass two, the psychology connections become more explicit and surprisingly rigorous.
Theo Grant • Security
Feb 10, 2026
Practical, not preachy. Loved the analytics examples.
Iris Novak • Writer
Feb 16, 2026
The time tie-ins made it feel like it was written for right now. Huge win. (Side note: if you like Game Design and Development: Code, Psychology and Analytics (Paperback), you’ll likely enjoy this too.)
Ava Patel • Student
Feb 16, 2026
If you enjoyed WebGL Compute (Paperback), this one scratches a similar itch—especially around stephen and momentum.
Benito Silva • Analyst
Feb 16, 2026
Fast to start. Clear chapters. Great on communication.
Lina Ahmed • Product Manager
Feb 12, 2026
Okay, wow. This is one of those books that makes you want to do things. The storytelling framing is chef’s kiss.
Theo Grant • Security
Feb 7, 2026
Fast to start. Clear chapters. Great on storytelling.
Benito Silva • Analyst
Feb 17, 2026
Fast to start. Clear chapters. Great on analytics.
Ava Patel • Student
Feb 16, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The analytics part hit that hard.
Benito Silva • Analyst
Feb 12, 2026
Fast to start. Clear chapters. Great on psychology.
Ava Patel • Student
Feb 12, 2026
If you enjoyed WebGL Compute (Paperback), this one scratches a similar itch—especially around 2026 and momentum.
Benito Silva • Analyst
Feb 12, 2026
A solid “read → apply today” book. Also: romance vibes.
Sophia Rossi • Editor
Feb 15, 2026
I’ve already recommended it twice. The psychology chapter alone is worth the price.
Noah Kim • Indie Dev
Feb 13, 2026
I didn’t expect Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback) to be this approachable. The way it frames analytics made me instantly calmer about getting started.
Nia Walker • Teacher
Feb 13, 2026
The book rewards re-reading. On pass two, the storytelling connections become more explicit and surprisingly rigorous.
Ethan Brooks • Professor
Feb 13, 2026
Fast to start. Clear chapters. Great on data visualization.
Theo Grant • Security
Feb 17, 2026
Fast to start. Clear chapters. Great on data visualization.
Nia Walker • Teacher
Feb 8, 2026
If you care about conceptual clarity and transfer, the 2026 tie-ins are useful prompts for further reading.
Ethan Brooks • Professor
Feb 15, 2026
A solid “read → apply today” book. Also: romance vibes.
Zoe Martin • Designer
Feb 9, 2026
The book rewards re-reading. On pass two, the data visualization connections become more explicit and surprisingly rigorous.
Sophia Rossi • Editor
Feb 12, 2026
Okay, wow. This is one of those books that makes you want to do things. The analytics framing is chef’s kiss.
Ethan Brooks • Professor
Feb 14, 2026
Fast to start. Clear chapters. Great on psychology.
Lina Ahmed • Product Manager
Feb 15, 2026
Okay, wow. This is one of those books that makes you want to do things. The data visualization framing is chef’s kiss.
Jules Nakamura • QA Lead
Feb 9, 2026
It pairs nicely with what’s trending around read—you finish a chapter and think: “okay, I can do something with this.”
Lina Ahmed • Product Manager
Feb 14, 2026
The time tie-ins made it feel like it was written for right now. Huge win.
Noah Kim • Indie Dev
Feb 17, 2026
I didn’t expect Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback) to be this approachable. The way it frames analytics made me instantly calmer about getting started.
Nia Walker • Teacher
Feb 8, 2026
The book rewards re-reading. On pass two, the communication connections become more explicit and surprisingly rigorous.
Omar Reyes • Data Engineer
Feb 11, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The psychology sections feel super practical.
Sophia Rossi • Editor
Feb 15, 2026
I’ve already recommended it twice. The communication chapter alone is worth the price.
Ethan Brooks • Professor
Feb 12, 2026
Practical, not preachy. Loved the data visualization examples.
Noah Kim • Indie Dev
Feb 8, 2026
It pairs nicely with what’s trending around romance—you finish a chapter and think: “okay, I can do something with this.”
Leo Sato • Automation
Feb 12, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The analytics sections feel super practical.
Zoe Martin • Designer
Feb 10, 2026
If you care about conceptual clarity and transfer, the stephen tie-ins are useful prompts for further reading.
Theo Grant • Security
Feb 8, 2026
Practical, not preachy. Loved the psychology examples.
Ethan Brooks • Professor
Feb 11, 2026
Practical, not preachy. Loved the communication examples.
Omar Reyes • Data Engineer
Feb 10, 2026
I didn’t expect Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback) to be this approachable. The way it frames data visualization made me instantly calmer about getting started.
Theo Grant • Security
Feb 7, 2026
A solid “read → apply today” book. Also: romance vibes.
Nia Walker • Teacher
Feb 15, 2026
If you care about conceptual clarity and transfer, the stephen tie-ins are useful prompts for further reading.
Ethan Brooks • Professor
Feb 10, 2026
Fast to start. Clear chapters. Great on analytics.
Zoe Martin • Designer
Feb 10, 2026
The book rewards re-reading. On pass two, the data visualization connections become more explicit and surprisingly rigorous.
Theo Grant • Security
Feb 16, 2026
Practical, not preachy. Loved the psychology examples.
Maya Chen • UX Researcher
Feb 10, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the analytics arguments land.
Benito Silva • Analyst
Feb 14, 2026
A solid “read → apply today” book. Also: read vibes.
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faq
Quick answers
Yes—use the Key Takeaways first, then read chapters in the order your curiosity pulls you.
Try 12 minutes reading + 3 minutes notes. Apply one idea the same day to lock it in.
Themes include data visualization, psychology, analytics, storytelling, communication, plus context from read, 2026, excerpt, time.
Use the Buy/View link near the cover. We also link to Goodreads search and the original source page.
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