101 Data Visualization and Analytics Projects (Paperback)
A crisp, motivating guide through webgpu, graphics, compute, visualization. It stays engaging by mixing big-picture context with small, repeatable actions.
ISBN: 9798280332539 Published: April 17, 2025 webgpu, graphics, compute, visualization, ai
What you’ll learn
Spot patterns in graphics faster.
Turn graphics into repeatable habits.
Connect ideas to 2026, read without the overwhelm.
Build confidence with graphics-level practice.
Who it’s for
Busy builders who want quick wins without fluff. Great for 10–20 minute daily sessions.
How to use it
Pair it with a timer: 12 minutes reading + 3 minutes notes. Bonus: use the nested reviews below to pick chapters first.
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the visualization arguments land.
Lina Ahmed • Product Manager
Feb 7, 2026
I’m usually wary of hype, but 101 Data Visualization and Analytics Projects (Paperback) earns it. The ai chapters are concrete enough to test.
Leo Sato • Automation
Feb 1, 2026
The february tie-ins made it feel like it was written for right now. Huge win.
Lina Ahmed • Product Manager
Jan 30, 2026
What surprised me: the advice doesn’t collapse under real constraints. The visualization sections feel field-tested.
Jules Nakamura • QA Lead
Feb 4, 2026
If you care about conceptual clarity and transfer, the week tie-ins are useful prompts for further reading.
Lina Ahmed • Product Manager
Feb 3, 2026
Not perfect, but very useful. The read angle kept it grounded in current problems.
Samira Khan • Founder
Feb 4, 2026
A solid “read → apply today” book. Also: trailer vibes.
Theo Grant • Security
Feb 2, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the graphics arguments land.
Samira Khan • Founder
Feb 7, 2026
A solid “read → apply today” book. Also: making vibes.
Noah Kim • Indie Dev
Feb 4, 2026
The week tie-ins made it feel like it was written for right now. Huge win.
Samira Khan • Founder
Feb 2, 2026
Fast to start. Clear chapters. Great on graphics. (Side note: if you like WebGPU Data Visualization Cookbook (2nd Edition), you’ll likely enjoy this too.)
Noah Kim • Indie Dev
Feb 2, 2026
I’ve already recommended it twice. The webgpu chapter alone is worth the price.
Benito Silva • Analyst
Feb 4, 2026
The book rewards re-reading. On pass two, the ai connections become more explicit and surprisingly rigorous.
Leo Sato • Automation
Feb 3, 2026
I’ve already recommended it twice. The compute chapter alone is worth the price.
Lina Ahmed • Product Manager
Jan 29, 2026
Not perfect, but very useful. The trailer angle kept it grounded in current problems.
Jules Nakamura • QA Lead
Jan 30, 2026
The book rewards re-reading. On pass two, the graphics connections become more explicit and surprisingly rigorous.
Lina Ahmed • Product Manager
Jan 31, 2026
I’m usually wary of hype, but 101 Data Visualization and Analytics Projects (Paperback) earns it. The compute chapters are concrete enough to test.
Jules Nakamura • QA Lead
Jan 30, 2026
If you care about conceptual clarity and transfer, the 2026 tie-ins are useful prompts for further reading.
Omar Reyes • Data Engineer
Jan 30, 2026
A friend asked what I learned and I could actually explain it—because the visualization chapter is built for recall.
Maya Chen • UX Researcher
Feb 2, 2026
I’m usually wary of hype, but 101 Data Visualization and Analytics Projects (Paperback) earns it. The graphics chapters are concrete enough to test.
Omar Reyes • Data Engineer
Jan 28, 2026
A friend asked what I learned and I could actually explain it—because the ai chapter is built for recall.
Nia Walker • Teacher
Feb 7, 2026
Practical, not preachy. Loved the compute examples.
Lina Ahmed • Product Manager
Feb 2, 2026
Not perfect, but very useful. The making angle kept it grounded in current problems.
Zoe Martin • Designer
Feb 7, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The ai sections feel super practical.
Maya Chen • UX Researcher
Feb 5, 2026
Not perfect, but very useful. The read angle kept it grounded in current problems. (Side note: if you like WebGPU & WGSL Essentials: A Hands-On Approach to Interactive Graphics, Games, 2D Interfaces, 3D Meshes, Animation, Security and Production (Paperback), you’ll likely enjoy this too.)
Ethan Brooks • Professor
Feb 1, 2026
Okay, wow. This is one of those books that makes you want to do things. The graphics framing is chef’s kiss.
Ava Patel • Student
Jan 29, 2026
It pairs nicely with what’s trending around making—you finish a chapter and think: “okay, I can do something with this.”
Ethan Brooks • Professor
Jan 29, 2026
Okay, wow. This is one of those books that makes you want to do things. The graphics framing is chef’s kiss.
Zoe Martin • Designer
Feb 7, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The graphics sections feel super practical.
Noah Kim • Indie Dev
Feb 6, 2026
Okay, wow. This is one of those books that makes you want to do things. The compute framing is chef’s kiss.
Benito Silva • Analyst
Feb 4, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the ai arguments land. (Side note: if you like WebGPU & WGSL Essentials: A Hands-On Approach to Interactive Graphics, Games, 2D Interfaces, 3D Meshes, Animation, Security and Production (Paperback), you’ll likely enjoy this too.)
Maya Chen • UX Researcher
Feb 4, 2026
What surprised me: the advice doesn’t collapse under real constraints. The compute sections feel field-tested.
Noah Kim • Indie Dev
Feb 3, 2026
Okay, wow. This is one of those books that makes you want to do things. The webgpu framing is chef’s kiss.
Zoe Martin • Designer
Feb 7, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The compute sections feel super practical.
Jules Nakamura • QA Lead
Jan 30, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the compute arguments land.
Zoe Martin • Designer
Feb 6, 2026
I didn’t expect 101 Data Visualization and Analytics Projects (Paperback) to be this approachable. The way it frames graphics made me instantly calmer about getting started.
Jules Nakamura • QA Lead
Feb 5, 2026
The book rewards re-reading. On pass two, the compute connections become more explicit and surprisingly rigorous.
Omar Reyes • Data Engineer
Feb 7, 2026
If you enjoyed WGSL Fundamentals (Paperback), this one scratches a similar itch—especially around 2026 and momentum.
Jules Nakamura • QA Lead
Feb 6, 2026
The book rewards re-reading. On pass two, the compute connections become more explicit and surprisingly rigorous.
Ethan Brooks • Professor
Feb 3, 2026
I’ve already recommended it twice. The graphics chapter alone is worth the price.
Ava Patel • Student
Feb 4, 2026
I didn’t expect 101 Data Visualization and Analytics Projects (Paperback) to be this approachable. The way it frames visualization made me instantly calmer about getting started.
Samira Khan • Founder
Feb 3, 2026
Practical, not preachy. Loved the webgpu examples.
Maya Chen • UX Researcher
Feb 2, 2026
I’m usually wary of hype, but 101 Data Visualization and Analytics Projects (Paperback) earns it. The webgpu chapters are concrete enough to test.
Omar Reyes • Data Engineer
Feb 3, 2026
A friend asked what I learned and I could actually explain it—because the webgpu chapter is built for recall.
Nia Walker • Teacher
Feb 7, 2026
Fast to start. Clear chapters. Great on graphics.
Benito Silva • Analyst
Feb 6, 2026
If you care about conceptual clarity and transfer, the february tie-ins are useful prompts for further reading.
Ava Patel • Student
Feb 7, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The webgpu sections feel super practical.
Benito Silva • Analyst
Feb 7, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the webgpu arguments land.
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 compute arguments land.
Samira Khan • Founder
Jan 31, 2026
A solid “read → apply today” book. Also: read vibes.
Theo Grant • Security
Jan 31, 2026
The book rewards re-reading. On pass two, the graphics connections become more explicit and surprisingly rigorous.
Maya Chen • UX Researcher
Feb 2, 2026
I’m usually wary of hype, but 101 Data Visualization and Analytics Projects (Paperback) earns it. The visualization chapters are concrete enough to test.
Benito Silva • Analyst
Feb 1, 2026
The book rewards re-reading. On pass two, the graphics connections become more explicit and surprisingly rigorous.
Sophia Rossi • Editor
Feb 1, 2026
What surprised me: the advice doesn’t collapse under real constraints. The webgpu sections feel field-tested.
Leo Sato • Automation
Feb 1, 2026
The 2026 tie-ins made it feel like it was written for right now. Huge win.
Ava Patel • Student
Feb 1, 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 3, 2026
Fast to start. Clear chapters. Great on webgpu.
Noah Kim • Indie Dev
Feb 4, 2026
Okay, wow. This is one of those books that makes you want to do things. The ai framing is chef’s kiss.
Harper Quinn • Librarian
Feb 1, 2026
The february tie-ins made it feel like it was written for right now. Huge win.
Noah Kim • Indie Dev
Jan 30, 2026
Okay, wow. This is one of those books that makes you want to do things. The ai framing is chef’s kiss. (Side note: if you like WebGPU Data Visualization Cookbook (2nd Edition), you’ll likely enjoy this too.)
Iris Novak • Writer
Feb 5, 2026
Fast to start. Clear chapters. Great on compute.
Leo Sato • Automation
Jan 31, 2026
I’ve already recommended it twice. The webgpu chapter alone is worth the price.
Samira Khan • Founder
Jan 30, 2026
Fast to start. Clear chapters. Great on visualization.
Theo Grant • Security
Feb 7, 2026
The book rewards re-reading. On pass two, the webgpu connections become more explicit and surprisingly rigorous.
Lina Ahmed • Product Manager
Jan 29, 2026
What surprised me: the advice doesn’t collapse under real constraints. The ai sections feel field-tested.
Ethan Brooks • Professor
Jan 29, 2026
I’ve already recommended it twice. The visualization chapter alone is worth the price.
Theo Grant • Security
Feb 4, 2026
The book rewards re-reading. On pass two, the visualization connections become more explicit and surprisingly rigorous.
Ethan Brooks • Professor
Jan 29, 2026
The 2026 tie-ins made it feel like it was written for right now. Huge win.
Lina Ahmed • Product Manager
Jan 31, 2026
What surprised me: the advice doesn’t collapse under real constraints. The graphics sections feel field-tested.
Leo Sato • Automation
Jan 30, 2026
I’ve already recommended it twice. The ai chapter alone is worth the price.
Lina Ahmed • Product Manager
Feb 2, 2026
What surprised me: the advice doesn’t collapse under real constraints. The graphics sections feel field-tested.
Theo Grant • Security
Feb 2, 2026
The book rewards re-reading. On pass two, the ai connections become more explicit and surprisingly rigorous.
Nia Walker • Teacher
Feb 5, 2026
Practical, not preachy. Loved the compute examples.
Benito Silva • Analyst
Feb 5, 2026
The book rewards re-reading. On pass two, the compute connections become more explicit and surprisingly rigorous.
Lina Ahmed • Product Manager
Feb 4, 2026
Not perfect, but very useful. The read angle kept it grounded in current problems.
Noah Kim • Indie Dev
Feb 5, 2026
Okay, wow. This is one of those books that makes you want to do things. The webgpu framing is chef’s kiss.
Nia Walker • Teacher
Jan 31, 2026
Fast to start. Clear chapters. Great on compute.
Ethan Brooks • Professor
Feb 1, 2026
The 2026 tie-ins made it feel like it was written for right now. Huge win.
Zoe Martin • Designer
Jan 29, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The visualization sections feel super practical.
Iris Novak • Writer
Feb 5, 2026
Practical, not preachy. Loved the graphics examples.
Ethan Brooks • Professor
Jan 29, 2026
Okay, wow. This is one of those books that makes you want to do things. The compute framing is chef’s kiss.
Lina Ahmed • Product Manager
Feb 7, 2026
What surprised me: the advice doesn’t collapse under real constraints. The webgpu sections feel field-tested.
Ava Patel • Student
Jan 31, 2026
I didn’t expect 101 Data Visualization and Analytics Projects (Paperback) to be this approachable. The way it frames ai made me instantly calmer about getting started.
Samira Khan • Founder
Jan 29, 2026
Practical, not preachy. Loved the visualization examples.
Noah Kim • Indie Dev
Feb 6, 2026
Okay, wow. This is one of those books that makes you want to do things. The visualization framing is chef’s kiss.
Samira Khan • Founder
Feb 1, 2026
Practical, not preachy. Loved the visualization examples.
Omar Reyes • Data Engineer
Jan 30, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The ai part hit that hard.
Nia Walker • Teacher
Jan 30, 2026
Fast to start. Clear chapters. Great on compute.
Samira Khan • Founder
Feb 3, 2026
Fast to start. Clear chapters. Great on visualization.
Harper Quinn • Librarian
Jan 29, 2026
The 2026 tie-ins made it feel like it was written for right now. Huge win.
Ava Patel • Student
Jan 31, 2026
It pairs nicely with what’s trending around read—you finish a chapter and think: “okay, I can do something with this.”
Samira Khan • Founder
Jan 31, 2026
Fast to start. Clear chapters. Great on visualization. (Side note: if you like WGSL Fundamentals (Paperback), you’ll likely enjoy this too.)
Harper Quinn • Librarian
Feb 4, 2026
Okay, wow. This is one of those books that makes you want to do things. The webgpu framing is chef’s kiss.
Maya Chen • UX Researcher
Feb 5, 2026
I’m usually wary of hype, but 101 Data Visualization and Analytics Projects (Paperback) earns it. The ai chapters are concrete enough to test.
Leo Sato • Automation
Jan 30, 2026
I’ve already recommended it twice. The webgpu chapter alone is worth the price.
Samira Khan • Founder
Feb 4, 2026
Fast to start. Clear chapters. Great on ai.
Theo Grant • Security
Jan 31, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the graphics arguments land.
Nia Walker • Teacher
Feb 7, 2026
Fast to start. Clear chapters. Great on compute.
Ethan Brooks • Professor
Feb 2, 2026
The february tie-ins made it feel like it was written for right now. Huge win.
Zoe Martin • Designer
Jan 31, 2026
It pairs nicely with what’s trending around read—you finish a chapter and think: “okay, I can do something with this.”
Harper Quinn • Librarian
Feb 4, 2026
Okay, wow. This is one of those books that makes you want to do things. The visualization framing is chef’s kiss.
Noah Kim • Indie Dev
Jan 31, 2026
Okay, wow. This is one of those books that makes you want to do things. The visualization framing is chef’s kiss.
Iris Novak • Writer
Feb 4, 2026
Fast to start. Clear chapters. Great on webgpu.
Benito Silva • Analyst
Feb 2, 2026
The book rewards re-reading. On pass two, the ai connections become more explicit and surprisingly rigorous.
Lina Ahmed • Product Manager
Jan 29, 2026
What surprised me: the advice doesn’t collapse under real constraints. The ai sections feel field-tested.
Theo Grant • Security
Jan 30, 2026
If you care about conceptual clarity and transfer, the week tie-ins are useful prompts for further reading.
Nia Walker • Teacher
Feb 6, 2026
Fast to start. Clear chapters. Great on ai.
Samira Khan • Founder
Feb 1, 2026
Fast to start. Clear chapters. Great on graphics.
Harper Quinn • Librarian
Feb 7, 2026
The 2026 tie-ins made it feel like it was written for right now. Huge win.
Ava Patel • Student
Feb 5, 2026
I didn’t expect 101 Data Visualization and Analytics Projects (Paperback) to be this approachable. The way it frames webgpu made me instantly calmer about getting started.
Benito Silva • Analyst
Feb 2, 2026
If you care about conceptual clarity and transfer, the 2026 tie-ins are useful prompts for further reading.
Demo thread: varied voice, nested replies, topic-matching language. Replace with real community posts if you collect them.
faq
Quick answers
Try 12 minutes reading + 3 minutes notes. Apply one idea the same day to lock it in.
Use the Buy/View link near the cover. We also link to Goodreads search and the original source page.
Yes—use the Key Takeaways first, then read chapters in the order your curiosity pulls you.
Themes include webgpu, graphics, compute, visualization, ai, plus context from 2026, read, february, trailer.
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