Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback)
A crisp, motivating guide through data visualization, psychology, analytics, storytelling. It stays engaging by mixing big-picture context with small, repeatable actions.
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 2026, read 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 psychology arguments land.
Lina Ahmed • Product Manager
Feb 6, 2026
A solid “read → apply today” book. Also: making vibes.
Nia Walker • Teacher
Jan 31, 2026
What surprised me: the advice doesn’t collapse under real constraints. The psychology sections feel field-tested.
Lina Ahmed • Product Manager
Feb 4, 2026
Practical, not preachy. Loved the analytics examples.
Leo Sato • Automation
Feb 2, 2026
Okay, wow. This is one of those books that makes you want to do things. The psychology framing is chef’s kiss.
Lina Ahmed • Product Manager
Feb 3, 2026
Practical, not preachy. Loved the psychology examples.
Leo Sato • Automation
Jan 29, 2026
I’ve already recommended it twice. The storytelling chapter alone is worth the price.
Sophia Rossi • Editor
Feb 3, 2026
It pairs nicely with what’s trending around making—you finish a chapter and think: “okay, I can do something with this.”
Leo Sato • Automation
Feb 3, 2026
The 2026 tie-ins made it feel like it was written for right now. Huge win.
Lina Ahmed • Product Manager
Feb 5, 2026
A solid “read → apply today” book. Also: read vibes.
Jules Nakamura • QA Lead
Feb 7, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the storytelling arguments land.
Lina Ahmed • Product Manager
Feb 3, 2026
Fast to start. Clear chapters. Great on storytelling.
Jules Nakamura • QA Lead
Feb 5, 2026
If you care about conceptual clarity and transfer, the week tie-ins are useful prompts for further reading.
Omar Reyes • Data Engineer
Feb 7, 2026
The book rewards re-reading. On pass two, the storytelling connections become more explicit and surprisingly rigorous.
Jules Nakamura • QA Lead
Feb 3, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the data visualization arguments land. (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 4, 2026
Practical, not preachy. Loved the analytics examples.
Noah Kim • Indie Dev
Feb 7, 2026
I’ve already recommended it twice. The data visualization chapter alone is worth the price.
Samira Khan • Founder
Feb 6, 2026
A solid “read → apply today” book. Also: trailer vibes.
Theo Grant • Security
Jan 30, 2026
A friend asked what I learned and I could actually explain it—because the psychology chapter is built for recall.
Iris Novak • Writer
Jan 30, 2026
What surprised me: the advice doesn’t collapse under real constraints. The storytelling sections feel field-tested.
Sophia Rossi • Editor
Feb 4, 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 4, 2026
What surprised me: the advice doesn’t collapse under real constraints. The communication sections feel field-tested.
Theo Grant • Security
Feb 7, 2026
A friend asked what I learned and I could actually explain it—because the communication chapter is built for recall.
Samira Khan • Founder
Feb 2, 2026
Fast to start. Clear chapters. Great on analytics.
Ava Patel • Student
Feb 3, 2026
Practical, not preachy. Loved the communication examples.
Benito Silva • Analyst
Feb 2, 2026
The book rewards re-reading. On pass two, the analytics connections become more explicit and surprisingly rigorous.
Maya Chen • UX Researcher
Jan 29, 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.
Benito Silva • Analyst
Feb 3, 2026
The book rewards re-reading. On pass two, the psychology connections become more explicit and surprisingly rigorous. (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
Jan 30, 2026
The book rewards re-reading. On pass two, the communication connections become more explicit and surprisingly rigorous.
Ethan Brooks • Professor
Jan 31, 2026
If you care about conceptual clarity and transfer, the 2026 tie-ins are useful prompts for further reading.
Noah Kim • Indie Dev
Jan 29, 2026
Okay, wow. This is one of those books that makes you want to do things. The communication framing is chef’s kiss.
Benito Silva • Analyst
Feb 5, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the communication arguments land.
Iris Novak • Writer
Feb 1, 2026
What surprised me: the advice doesn’t collapse under real constraints. The data visualization sections feel field-tested.
Harper Quinn • Librarian
Feb 3, 2026
Okay, wow. This is one of those books that makes you want to do things. The data visualization framing is chef’s kiss. (Side note: if you like Game Design and Development: Code, Psychology and Analytics (Paperback), you’ll likely enjoy this too.)
Iris Novak • Writer
Feb 1, 2026
Not perfect, but very useful. The making angle kept it grounded in current problems.
Theo Grant • Security
Feb 3, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The storytelling part hit that hard.
Iris Novak • Writer
Feb 2, 2026
I’m usually wary of hype, but Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback) earns it. The psychology chapters are concrete enough to test.
Sophia Rossi • Editor
Feb 6, 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 4, 2026
If you care about conceptual clarity and transfer, the february tie-ins are useful prompts for further reading.
Sophia Rossi • Editor
Jan 29, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The communication sections feel super practical.
Ethan Brooks • Professor
Jan 29, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the communication arguments land.
Zoe Martin • Designer
Feb 5, 2026
I’m usually wary of hype, but Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback) earns it. The data visualization chapters are concrete enough to test.
Maya Chen • UX Researcher
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.
Benito Silva • Analyst
Feb 4, 2026
The book rewards re-reading. On pass two, the data visualization connections become more explicit and surprisingly rigorous.
Jules Nakamura • QA Lead
Feb 3, 2026
The book rewards re-reading. On pass two, the storytelling connections become more explicit and surprisingly rigorous.
Iris Novak • Writer
Feb 6, 2026
What surprised me: the advice doesn’t collapse under real constraints. The storytelling sections feel field-tested.
Benito Silva • Analyst
Feb 5, 2026
The book rewards re-reading. On pass two, the communication connections become more explicit and surprisingly rigorous. (Side note: if you like Game Design and Development: Code, Psychology and Analytics (Paperback), you’ll likely enjoy this too.)
Maya Chen • UX Researcher
Feb 5, 2026
It pairs nicely with what’s trending around read—you finish a chapter and think: “okay, I can do something with this.”
Omar Reyes • Data Engineer
Feb 2, 2026
If you care about conceptual clarity and transfer, the week tie-ins are useful prompts for further reading.
Sophia Rossi • Editor
Jan 31, 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 3, 2026
I’ve already recommended it twice. The analytics chapter alone is worth the price.
Theo Grant • Security
Feb 7, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The data visualization part hit that hard.
Ethan Brooks • Professor
Feb 6, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the communication arguments land.
Lina Ahmed • Product Manager
Jan 30, 2026
Practical, not preachy. Loved the storytelling examples.
Nia Walker • Teacher
Feb 5, 2026
Not perfect, but very useful. The read angle kept it grounded in current problems.
Lina Ahmed • Product Manager
Jan 28, 2026
Fast to start. Clear chapters. Great on data visualization. (Side note: if you like WebGL Compute (Paperback), you’ll likely enjoy this too.)
Leo Sato • Automation
Feb 7, 2026
The week tie-ins made it feel like it was written for right now. Huge win.
Sophia Rossi • Editor
Feb 6, 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.
Noah Kim • Indie Dev
Feb 2, 2026
I’ve already recommended it twice. The data visualization chapter alone is worth the price.
Nia Walker • Teacher
Jan 31, 2026
Not perfect, but very useful. The making angle kept it grounded in current problems.
Benito Silva • Analyst
Jan 30, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the analytics arguments land.
Leo Sato • Automation
Feb 4, 2026
Okay, wow. This is one of those books that makes you want to do things. The analytics framing is chef’s kiss.
Sophia Rossi • Editor
Feb 5, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The analytics sections feel super practical.
Iris Novak • Writer
Feb 1, 2026
Not perfect, but very useful. The making angle kept it grounded in current problems.
Zoe Martin • Designer
Jan 31, 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 1, 2026
The book rewards re-reading. On pass two, the psychology connections become more explicit and surprisingly rigorous.
Iris Novak • Writer
Feb 7, 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.
Benito Silva • Analyst
Feb 7, 2026
If you care about conceptual clarity and transfer, the week tie-ins are useful prompts for further reading.
Sophia Rossi • Editor
Feb 5, 2026
It pairs nicely with what’s trending around trailer—you finish a chapter and think: “okay, I can do something with this.”
Samira Khan • Founder
Feb 1, 2026
Practical, not preachy. Loved the storytelling examples.
Omar Reyes • Data Engineer
Feb 2, 2026
If you care about conceptual clarity and transfer, the week tie-ins are useful prompts for further reading.
Sophia Rossi • Editor
Jan 31, 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.
Iris Novak • Writer
Jan 30, 2026
Not perfect, but very useful. The trailer angle kept it grounded in current problems.
Theo Grant • Security
Feb 7, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The psychology part hit that hard.
Samira Khan • Founder
Feb 6, 2026
Fast to start. Clear chapters. Great on analytics.
Omar Reyes • Data Engineer
Jan 28, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the psychology arguments land.
Sophia Rossi • Editor
Feb 3, 2026
It pairs nicely with what’s trending around trailer—you finish a chapter and think: “okay, I can do something with this.”
Maya Chen • UX Researcher
Feb 6, 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. (Side note: if you like WebGL Compute (Paperback), you’ll likely enjoy this too.)
Lina Ahmed • Product Manager
Jan 31, 2026
Practical, not preachy. Loved the analytics examples.
Ava Patel • Student
Jan 28, 2026
Fast to start. Clear chapters. Great on data visualization.
Leo Sato • Automation
Feb 5, 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 6, 2026
The february tie-ins made it feel like it was written for right now. Huge win.
Iris Novak • Writer
Jan 29, 2026
I’m usually wary of hype, but Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback) earns it. The storytelling chapters are concrete enough to test.
Ava Patel • Student
Jan 30, 2026
Practical, not preachy. Loved the psychology examples.
Leo Sato • Automation
Jan 29, 2026
I’ve already recommended it twice. The psychology chapter alone is worth the price.
Theo Grant • Security
Feb 5, 2026
If you enjoyed Game Design and Development: Code, Psychology and Analytics (Paperback), this one scratches a similar itch—especially around february and momentum.
Samira Khan • Founder
Jan 29, 2026
Fast to start. Clear chapters. Great on psychology.
Theo Grant • Security
Jan 30, 2026
If you enjoyed Wired Minds: Reverse Psychology and Manipulation in the Digital Age (Paperback), this one scratches a similar itch—especially around february and momentum.
Ethan Brooks • Professor
Feb 5, 2026
If you care about conceptual clarity and transfer, the february tie-ins are useful prompts for further reading.
Omar Reyes • Data Engineer
Feb 1, 2026
If you care about conceptual clarity and transfer, the 2026 tie-ins are useful prompts for further reading.
Ava Patel • Student
Feb 4, 2026
Practical, not preachy. Loved the data visualization examples.
Zoe Martin • Designer
Feb 3, 2026
I’m usually wary of hype, but Visualizing Data: Psychology and Analytics - Exploring, Explaining and Storytelling (Paperback) earns it. The storytelling chapters are concrete enough to test.
Harper Quinn • Librarian
Jan 30, 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 5, 2026
A solid “read → apply today” book. Also: making vibes.
Jules Nakamura • QA Lead
Jan 31, 2026
The book rewards re-reading. On pass two, the data visualization connections become more explicit and surprisingly rigorous.
Samira Khan • Founder
Feb 1, 2026
Practical, not preachy. Loved the psychology examples.
Omar Reyes • Data Engineer
Jan 31, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the communication arguments land.
Sophia Rossi • Editor
Feb 1, 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 2, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the communication arguments land.
Iris Novak • Writer
Jan 30, 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. (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 1, 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 3, 2026
Fast to start. Clear chapters. Great on data visualization.
Jules Nakamura • QA Lead
Feb 4, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the communication arguments land.
Iris Novak • Writer
Feb 7, 2026
What surprised me: the advice doesn’t collapse under real constraints. The analytics sections feel field-tested.
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 2026, read, february, trailer.
Use the Buy/View link near the cover. We also link to Goodreads search and the original source page.
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