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.
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the communication arguments land. (Side note: if you like WebGL Compute (Paperback), you’ll likely enjoy this too.)
Iris Novak • Writer
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 storytelling made me instantly calmer about getting started.
Theo Grant • Security
Feb 10, 2026
I’ve already recommended it twice. The communication chapter alone is worth the price.
Iris Novak • Writer
Feb 8, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The storytelling sections feel super practical.
Harper Quinn • Librarian
Feb 8, 2026
If you care about conceptual clarity and transfer, the trailer tie-ins are useful prompts for further reading.
Iris Novak • Writer
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 data visualization made me instantly calmer about getting started.
Harper Quinn • Librarian
Feb 12, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the data visualization arguments land.
Nia Walker • Teacher
Feb 14, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The psychology sections feel super practical.
Omar Reyes • Data Engineer
Feb 14, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the analytics arguments land.
Nia Walker • Teacher
Feb 11, 2026
It pairs nicely with what’s trending around 2026—you finish a chapter and think: “okay, I can do something with this.”
Omar Reyes • Data Engineer
Feb 14, 2026
If you care about conceptual clarity and transfer, the excerpt tie-ins are useful prompts for further reading.
Maya Chen • UX Researcher
Feb 12, 2026
Fast to start. Clear chapters. Great on psychology.
Zoe Martin • Designer
Feb 11, 2026
What surprised me: the advice doesn’t collapse under real constraints. The communication sections feel field-tested.
Jules Nakamura • QA Lead
Feb 16, 2026
A friend asked what I learned and I could actually explain it—because the data visualization chapter is built for recall.
Zoe Martin • Designer
Feb 14, 2026
Not perfect, but very useful. The february angle kept it grounded in current problems.
Jules Nakamura • QA Lead
Feb 17, 2026
If you enjoyed Wired Minds: Reverse Psychology and Manipulation in the Digital Age (Paperback), this one scratches a similar itch—especially around trailer and momentum.
Zoe Martin • Designer
Feb 14, 2026
I’m usually wary of hype, but Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback) earns it. The communication chapters are concrete enough to test. (Side note: if you like Wired Minds: Reverse Psychology and Manipulation in the Digital Age (Paperback), you’ll likely enjoy this too.)
Jules Nakamura • QA Lead
Feb 17, 2026
A friend asked what I learned and I could actually explain it—because the storytelling chapter is built for recall.
Omar Reyes • Data Engineer
Feb 7, 2026
The book rewards re-reading. On pass two, the psychology connections become more explicit and surprisingly rigorous.
Leo Sato • Automation
Feb 11, 2026
The book rewards re-reading. On pass two, the data visualization connections become more explicit and surprisingly rigorous.
Lina Ahmed • Product Manager
Feb 13, 2026
It pairs nicely with what’s trending around february—you finish a chapter and think: “okay, I can do something with this.”
Jules Nakamura • QA Lead
Feb 10, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The communication part hit that hard.
Zoe Martin • Designer
Feb 13, 2026
What surprised me: the advice doesn’t collapse under real constraints. The data visualization sections feel field-tested. (Side note: if you like Wired Minds: Reverse Psychology and Manipulation in the Digital Age (Paperback), you’ll likely enjoy this too.)
Jules Nakamura • QA Lead
Feb 16, 2026
If you enjoyed Game Design and Development: Code, Psychology and Analytics (Paperback), this one scratches a similar itch—especially around excerpt and momentum.
Lina Ahmed • Product Manager
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 14, 2026
Okay, wow. This is one of those books that makes you want to do things. The communication framing is chef’s kiss.
Iris Novak • Writer
Feb 9, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The analytics sections feel super practical.
Sophia Rossi • Editor
Feb 14, 2026
Practical, not preachy. Loved the communication examples.
Iris Novak • Writer
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 communication made me instantly calmer about getting started.
Ava Patel • Student
Feb 8, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The communication sections feel super practical.
Ava Patel • Student
Feb 8, 2026
It pairs nicely with what’s trending around time—you finish a chapter and think: “okay, I can do something with this.”
Ethan Brooks • Professor
Feb 15, 2026
A friend asked what I learned and I could actually explain it—because the communication chapter is built for recall.
Sophia Rossi • Editor
Feb 15, 2026
A solid “read → apply today” book. Also: time vibes.
Leo Sato • Automation
Feb 14, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the psychology arguments land.
Ava Patel • Student
Feb 16, 2026
It pairs nicely with what’s trending around time—you finish a chapter and think: “okay, I can do something with this.”
Nia Walker • Teacher
Feb 12, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The data visualization sections feel super practical.
Harper Quinn • Librarian
Feb 8, 2026
The book rewards re-reading. On pass two, the analytics connections become more explicit and surprisingly rigorous.
Leo Sato • Automation
Feb 12, 2026
The book rewards re-reading. On pass two, the storytelling connections become more explicit and surprisingly rigorous.
Theo Grant • Security
Feb 11, 2026
Okay, wow. This is one of those books that makes you want to do things. The data visualization framing is chef’s kiss.
Ethan Brooks • Professor
Feb 15, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The communication part hit that hard.
Zoe Martin • Designer
Feb 9, 2026
Not perfect, but very useful. The 2026 angle kept it grounded in current problems.
Jules Nakamura • QA Lead
Feb 11, 2026
If you enjoyed WebGL Compute (Paperback), this one scratches a similar itch—especially around trailer and momentum.
Zoe Martin • Designer
Feb 16, 2026
I’m usually wary of hype, but Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback) earns it. The analytics chapters are concrete enough to test.
Jules Nakamura • QA Lead
Feb 14, 2026
If you enjoyed Game Design and Development: Code, Psychology and Analytics (Paperback), this one scratches a similar itch—especially around read and momentum.
Lina Ahmed • Product Manager
Feb 16, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The psychology sections feel super practical. (Side note: if you like Game Design and Development: Code, Psychology and Analytics (Paperback), you’ll likely enjoy this too.)
Noah Kim • Indie Dev
Feb 13, 2026
The book rewards re-reading. On pass two, the analytics connections become more explicit and surprisingly rigorous.
Iris Novak • Writer
Feb 10, 2026
It pairs nicely with what’s trending around february—you finish a chapter and think: “okay, I can do something with this.”
Benito Silva • Analyst
Feb 9, 2026
Okay, wow. This is one of those books that makes you want to do things. The psychology framing is chef’s kiss.
Ava Patel • Student
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 data visualization made me instantly calmer about getting started.
Leo Sato • Automation
Feb 8, 2026
The book rewards re-reading. On pass two, the communication connections become more explicit and surprisingly rigorous.
Sophia Rossi • Editor
Feb 8, 2026
Practical, not preachy. Loved the communication examples.
Noah Kim • Indie Dev
Feb 7, 2026
If you care about conceptual clarity and transfer, the read tie-ins are useful prompts for further reading.
Harper Quinn • Librarian
Feb 15, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the storytelling arguments land.
Samira Khan • Founder
Feb 8, 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.
Jules Nakamura • QA Lead
Feb 14, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The communication part hit that hard.
Iris Novak • Writer
Feb 11, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The storytelling sections feel super practical.
Omar Reyes • Data Engineer
Feb 11, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the analytics arguments land.
Ava Patel • Student
Feb 15, 2026
It pairs nicely with what’s trending around time—you finish a chapter and think: “okay, I can do something with this.”
Jules Nakamura • QA Lead
Feb 11, 2026
If you enjoyed Wired Minds: Reverse Psychology and Manipulation in the Digital Age (Paperback), this one scratches a similar itch—especially around excerpt and momentum.
Zoe Martin • Designer
Feb 7, 2026
Not perfect, but very useful. The february angle kept it grounded in current problems.
Sophia Rossi • Editor
Feb 9, 2026
Practical, not preachy. Loved the psychology examples.
Ethan Brooks • Professor
Feb 13, 2026
If you enjoyed Game Design and Development: Code, Psychology and Analytics (Paperback), this one scratches a similar itch—especially around trailer and momentum.
Noah Kim • Indie Dev
Feb 15, 2026
If you care about conceptual clarity and transfer, the trailer tie-ins are useful prompts for further reading.
Nia Walker • Teacher
Feb 11, 2026
It pairs nicely with what’s trending around time—you finish a chapter and think: “okay, I can do something with this.”
Ethan Brooks • Professor
Feb 9, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The communication part hit that hard.
Zoe Martin • Designer
Feb 8, 2026
What surprised me: the advice doesn’t collapse under real constraints. The psychology sections feel field-tested.
Maya Chen • UX Researcher
Feb 13, 2026
Practical, not preachy. Loved the storytelling examples. (Side note: if you like Wired Minds: Reverse Psychology and Manipulation in the Digital Age (Paperback), you’ll likely enjoy this too.)
Omar Reyes • Data Engineer
Feb 16, 2026
If you care about conceptual clarity and transfer, the excerpt tie-ins are useful prompts for further reading.
Ava Patel • Student
Feb 14, 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.
Jules Nakamura • QA Lead
Feb 12, 2026
A friend asked what I learned and I could actually explain it—because the analytics chapter is built for recall.
Omar Reyes • Data Engineer
Feb 15, 2026
If you care about conceptual clarity and transfer, the read tie-ins are useful prompts for further reading.
Theo Grant • Security
Feb 11, 2026
The excerpt tie-ins made it feel like it was written for right now. Huge win.
Samira Khan • Founder
Feb 12, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The communication sections feel super practical.
Lina Ahmed • Product Manager
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.
Noah Kim • Indie Dev
Feb 15, 2026
The book rewards re-reading. On pass two, the communication connections become more explicit and surprisingly rigorous.
Nia Walker • Teacher
Feb 14, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The data visualization sections feel super practical.
Ethan Brooks • Professor
Feb 11, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The psychology part hit that hard.
Ava Patel • Student
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.
Jules Nakamura • QA Lead
Feb 8, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The analytics part hit that hard. (Side note: if you like WebGL Compute (Paperback), you’ll likely enjoy this too.)
Theo Grant • Security
Feb 13, 2026
The read tie-ins made it feel like it was written for right now. Huge win.
Ethan Brooks • Professor
Feb 7, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The storytelling part hit that hard.
Ava Patel • Student
Feb 15, 2026
It pairs nicely with what’s trending around february—you finish a chapter and think: “okay, I can do something with this.”
Jules Nakamura • QA Lead
Feb 14, 2026
If you enjoyed WebGL Compute (Paperback), this one scratches a similar itch—especially around excerpt and momentum. (Side note: if you like WebGL Compute (Paperback), you’ll likely enjoy this too.)
Lina Ahmed • Product Manager
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 data visualization made me instantly calmer about getting started.
Ava Patel • Student
Feb 11, 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
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 12, 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.
Harper Quinn • Librarian
Feb 16, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the communication arguments land.
Maya Chen • UX Researcher
Feb 10, 2026
Fast to start. Clear chapters. Great on data visualization.
Omar Reyes • Data Engineer
Feb 16, 2026
If you care about conceptual clarity and transfer, the trailer tie-ins are useful prompts for further reading.
Sophia Rossi • Editor
Feb 9, 2026
A solid “read → apply today” book. Also: time vibes.
Noah Kim • Indie Dev
Feb 11, 2026
The book rewards re-reading. On pass two, the analytics connections become more explicit and surprisingly rigorous.
Leo Sato • Automation
Feb 15, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the psychology arguments land.
Benito Silva • Analyst
Feb 16, 2026
I’ve already recommended it twice. The data visualization chapter alone is worth the price.
Maya Chen • UX Researcher
Feb 10, 2026
Practical, not preachy. Loved the data visualization examples. (Side note: if you like Game Design and Development: Code, Psychology and Analytics (Paperback), you’ll likely enjoy this too.)
Lina Ahmed • Product Manager
Feb 12, 2026
It pairs nicely with what’s trending around 2026—you finish a chapter and think: “okay, I can do something with this.”
Noah Kim • Indie Dev
Feb 9, 2026
If you care about conceptual clarity and transfer, the read tie-ins are useful prompts for further reading.
Nia Walker • Teacher
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.
Ethan Brooks • Professor
Feb 13, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The communication part hit that hard.
Zoe Martin • Designer
Feb 9, 2026
What surprised me: the advice doesn’t collapse under real constraints. The analytics sections feel field-tested.
Maya Chen • UX Researcher
Feb 10, 2026
A solid “read → apply today” book. Also: february vibes.
Omar Reyes • Data Engineer
Feb 13, 2026
The book rewards re-reading. On pass two, the data visualization connections become more explicit and surprisingly rigorous.
Sophia Rossi • Editor
Feb 15, 2026
Fast to start. Clear chapters. Great on communication.
Ethan Brooks • Professor
Feb 12, 2026
A friend asked what I learned and I could actually explain it—because the data visualization chapter is built for recall. (Side note: if you like Game Design and Development: Code, Psychology and Analytics (Paperback), you’ll likely enjoy this too.)
Lina Ahmed • Product Manager
Feb 11, 2026
It pairs nicely with what’s trending around february—you finish a chapter and think: “okay, I can do something with this.”
Ava Patel • Student
Feb 12, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The psychology sections feel super practical.
Leo Sato • Automation
Feb 10, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the analytics arguments land.
Samira Khan • Founder
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 psychology made me instantly calmer about getting started.
Ava Patel • Student
Feb 8, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The storytelling sections feel super practical.
Demo thread: varied voice, nested replies, topic-matching language. Replace with real community posts if you collect them.
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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