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 read, 2026 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.
If you care about conceptual clarity and transfer, the romance tie-ins are useful prompts for further reading. (Side note: if you like WGSL Fundamentals (Paperback), you’ll likely enjoy this too.)
Sophia Rossi • Editor
Feb 8, 2026
Not perfect, but very useful. The time angle kept it grounded in current problems.
Iris Novak • Writer
Feb 12, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The graphics sections feel super practical.
Theo Grant • Security
Feb 9, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the visualization arguments land.
Ethan Brooks • Professor
Feb 14, 2026
The book rewards re-reading. On pass two, the compute connections become more explicit and surprisingly rigorous.
Theo Grant • Security
Feb 8, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the webgpu arguments land.
Benito Silva • Analyst
Feb 11, 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
Feb 17, 2026
I’ve already recommended it twice. The ai chapter alone is worth the price.
Zoe Martin • Designer
Feb 10, 2026
It pairs nicely with what’s trending around stephen—you finish a chapter and think: “okay, I can do something with this.”
Jules Nakamura • QA Lead
Feb 9, 2026
Okay, wow. This is one of those books that makes you want to do things. The compute framing is chef’s kiss.
Zoe Martin • Designer
Feb 12, 2026
I didn’t expect 101 Data Visualization and Analytics Projects (Paperback) to be this approachable. The way it frames compute made me instantly calmer about getting started.
Leo Sato • Automation
Feb 14, 2026
If you care about conceptual clarity and transfer, the read tie-ins are useful prompts for further reading.
Harper Quinn • Librarian
Feb 10, 2026
Okay, wow. This is one of those books that makes you want to do things. The webgpu framing is chef’s kiss.
Iris Novak • Writer
Feb 8, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The ai sections feel super practical.
Harper Quinn • Librarian
Feb 9, 2026
I’ve already recommended it twice. The webgpu chapter alone is worth the price.
Nia Walker • Teacher
Feb 15, 2026
It pairs nicely with what’s trending around 2026—you finish a chapter and think: “okay, I can do something with this.”
Lina Ahmed • Product Manager
Feb 9, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The webgpu sections feel super practical.
Ethan Brooks • Professor
Feb 15, 2026
The book rewards re-reading. On pass two, the webgpu connections become more explicit and surprisingly rigorous.
Sophia Rossi • Editor
Feb 15, 2026
What surprised me: the advice doesn’t collapse under real constraints. The webgpu sections feel field-tested.
Leo Sato • Automation
Feb 8, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the compute arguments land.
Sophia Rossi • Editor
Feb 12, 2026
What surprised me: the advice doesn’t collapse under real constraints. The visualization sections feel field-tested.
Leo Sato • Automation
Feb 16, 2026
The book rewards re-reading. On pass two, the ai connections become more explicit and surprisingly rigorous.
Lina Ahmed • Product Manager
Feb 15, 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 13, 2026
It pairs nicely with what’s trending around time—you finish a chapter and think: “okay, I can do something with this.”
Harper Quinn • Librarian
Feb 12, 2026
The excerpt tie-ins made it feel like it was written for right now. Huge win.
Nia Walker • Teacher
Feb 15, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The compute sections feel super practical. (Side note: if you like WebGPU Data Visualization Cookbook (2nd Edition), you’ll likely enjoy this too.)
Harper Quinn • Librarian
Feb 17, 2026
The excerpt tie-ins made it feel like it was written for right now. Huge win.
Noah Kim • Indie Dev
Feb 13, 2026
Okay, wow. This is one of those books that makes you want to do things. The ai framing is chef’s kiss.
Zoe Martin • Designer
Feb 16, 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.
Maya Chen • UX Researcher
Feb 10, 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.
Lina Ahmed • Product Manager
Feb 17, 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.
Theo Grant • Security
Feb 15, 2026
The book rewards re-reading. On pass two, the visualization connections become more explicit and surprisingly rigorous.
Ethan Brooks • Professor
Feb 16, 2026
The book rewards re-reading. On pass two, the graphics connections become more explicit and surprisingly rigorous.
Noah Kim • Indie Dev
Feb 11, 2026
The read tie-ins made it feel like it was written for right now. Huge win.
Samira Khan • Founder
Feb 9, 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 8, 2026
The romance tie-ins made it feel like it was written for right now. Huge win.
Harper Quinn • Librarian
Feb 8, 2026
I’ve already recommended it twice. The graphics chapter alone is worth the price.
Ethan Brooks • Professor
Feb 10, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the ai arguments land.
Theo Grant • Security
Feb 8, 2026
If you care about conceptual clarity and transfer, the romance tie-ins are useful prompts for further reading.
Maya Chen • UX Researcher
Feb 13, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The webgpu sections feel super practical.
Iris Novak • Writer
Feb 13, 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.
Leo Sato • Automation
Feb 16, 2026
If you care about conceptual clarity and transfer, the excerpt tie-ins are useful prompts for further reading.
Lina Ahmed • Product Manager
Feb 9, 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.
Theo Grant • Security
Feb 16, 2026
If you care about conceptual clarity and transfer, the read tie-ins are useful prompts for further reading.
Nia Walker • Teacher
Feb 14, 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.
Harper Quinn • Librarian
Feb 14, 2026
The romance tie-ins made it feel like it was written for right now. Huge win.
Ava Patel • Student
Feb 16, 2026
Not perfect, but very useful. The stephen angle kept it grounded in current problems.
Benito Silva • Analyst
Feb 16, 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
Feb 14, 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.
Samira Khan • Founder
Feb 10, 2026
Practical, not preachy. Loved the graphics examples.
Noah Kim • Indie Dev
Feb 12, 2026
I’ve already recommended it twice. The visualization chapter alone is worth the price.
Lina Ahmed • Product Manager
Feb 12, 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.
Theo Grant • Security
Feb 12, 2026
The book rewards re-reading. On pass two, the ai connections become more explicit and surprisingly rigorous.
Maya Chen • UX Researcher
Feb 8, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The graphics sections feel super practical.
Leo Sato • Automation
Feb 11, 2026
If you care about conceptual clarity and transfer, the excerpt tie-ins are useful prompts for further reading.
Zoe Martin • Designer
Feb 13, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The compute sections feel super practical.
Harper Quinn • Librarian
Feb 10, 2026
I’ve already recommended it twice. The compute chapter alone is worth the price.
Iris Novak • Writer
Feb 9, 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.
Omar Reyes • Data Engineer
Feb 9, 2026
A friend asked what I learned and I could actually explain it—because the webgpu chapter is built for recall.
Maya Chen • UX Researcher
Feb 8, 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.
Ethan Brooks • Professor
Feb 14, 2026
The book rewards re-reading. On pass two, the compute connections become more explicit and surprisingly rigorous.
Zoe Martin • Designer
Feb 9, 2026
It pairs nicely with what’s trending around stephen—you finish a chapter and think: “okay, I can do something with this.”
Theo Grant • Security
Feb 10, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the visualization arguments land.
Nia Walker • Teacher
Feb 16, 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.
Ethan Brooks • Professor
Feb 16, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the compute arguments land.
Omar Reyes • Data Engineer
Feb 13, 2026
If you enjoyed WGSL Fundamentals (Paperback), this one scratches a similar itch—especially around romance and momentum.
Nia Walker • Teacher
Feb 17, 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.
Samira Khan • Founder
Feb 16, 2026
Practical, not preachy. Loved the ai examples.
Noah Kim • Indie Dev
Feb 17, 2026
I’ve already recommended it twice. The compute chapter alone is worth the price.
Nia Walker • Teacher
Feb 14, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The compute sections feel super practical.
Benito Silva • Analyst
Feb 7, 2026
The read tie-ins made it feel like it was written for right now. Huge win.
Lina Ahmed • Product Manager
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.”
Theo Grant • Security
Feb 14, 2026
The book rewards re-reading. On pass two, the visualization connections become more explicit and surprisingly rigorous.
Maya Chen • UX Researcher
Feb 14, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The webgpu sections feel super practical.
Ethan Brooks • Professor
Feb 11, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the graphics arguments land.
Theo Grant • Security
Feb 9, 2026
If you care about conceptual clarity and transfer, the romance tie-ins are useful prompts for further reading.
Nia Walker • Teacher
Feb 9, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The graphics sections feel super practical.
Ethan Brooks • Professor
Feb 8, 2026
If you care about conceptual clarity and transfer, the read tie-ins are useful prompts for further reading.
Zoe Martin • Designer
Feb 8, 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. (Side note: if you like WGSL Fundamentals (Paperback), you’ll likely enjoy this too.)
Theo Grant • Security
Feb 10, 2026
If you care about conceptual clarity and transfer, the excerpt tie-ins are useful prompts for further reading.
Jules Nakamura • QA Lead
Feb 16, 2026
I’ve already recommended it twice. The ai chapter alone is worth the price.
Ethan Brooks • Professor
Feb 14, 2026
The book rewards re-reading. On pass two, the graphics connections become more explicit and surprisingly rigorous.
Lina Ahmed • Product Manager
Feb 8, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The ai sections feel super practical.
Noah Kim • Indie Dev
Feb 9, 2026
Okay, wow. This is one of those books that makes you want to do things. The visualization framing is chef’s kiss.
Nia Walker • Teacher
Feb 15, 2026
It pairs nicely with what’s trending around stephen—you finish a chapter and think: “okay, I can do something with this.”
Ethan Brooks • Professor
Feb 9, 2026
The book rewards re-reading. On pass two, the compute connections become more explicit and surprisingly rigorous.
Zoe Martin • Designer
Feb 10, 2026
It pairs nicely with what’s trending around 2026—you finish a chapter and think: “okay, I can do something with this.”
Theo Grant • Security
Feb 11, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the visualization arguments land.
Maya Chen • UX Researcher
Feb 16, 2026
It pairs nicely with what’s trending around 2026—you finish a chapter and think: “okay, I can do something with this.”
Ethan Brooks • Professor
Feb 7, 2026
If you care about conceptual clarity and transfer, the excerpt tie-ins are useful prompts for further reading.
Zoe Martin • Designer
Feb 14, 2026
It pairs nicely with what’s trending around 2026—you finish a chapter and think: “okay, I can do something with this.”
Theo Grant • Security
Feb 16, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the compute arguments land.
Nia Walker • Teacher
Feb 16, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The ai sections feel super practical.
Ethan Brooks • Professor
Feb 10, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the webgpu arguments land.
Zoe Martin • Designer
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.”
Harper Quinn • Librarian
Feb 14, 2026
The excerpt tie-ins made it feel like it was written for right now. Huge win.
Noah Kim • Indie Dev
Feb 10, 2026
Okay, wow. This is one of those books that makes you want to do things. The ai framing is chef’s kiss.
Iris Novak • Writer
Feb 13, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The ai sections feel super practical.
Zoe Martin • Designer
Feb 9, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The visualization sections feel super practical.
Theo Grant • Security
Feb 10, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the compute arguments land.
Maya Chen • UX Researcher
Feb 9, 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.
Leo Sato • Automation
Feb 9, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the ai arguments land.
Benito Silva • Analyst
Feb 12, 2026
The romance tie-ins made it feel like it was written for right now. Huge win.
Harper Quinn • Librarian
Feb 10, 2026
The excerpt tie-ins made it feel like it was written for right now. Huge win.
Maya Chen • UX Researcher
Feb 15, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The visualization sections feel super practical.
Leo Sato • Automation
Feb 12, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the ai arguments land.
Zoe Martin • Designer
Feb 9, 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.
Sophia Rossi • Editor
Feb 12, 2026
What surprised me: the advice doesn’t collapse under real constraints. The ai sections feel field-tested.
Iris Novak • Writer
Feb 8, 2026
I didn’t expect 101 Data Visualization and Analytics Projects (Paperback) to be this approachable. The way it frames compute made me instantly calmer about getting started.
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.
Theo Grant • Security
Feb 14, 2026
If you care about conceptual clarity and transfer, the romance tie-ins are useful prompts for further reading.
Maya Chen • UX Researcher
Feb 15, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The webgpu sections feel super practical.
Leo Sato • Automation
Feb 12, 2026
The book rewards re-reading. On pass two, the ai connections become more explicit and surprisingly rigorous.
Samira Khan • Founder
Feb 15, 2026
Fast to start. Clear chapters. Great on ai.
Jules Nakamura • QA Lead
Feb 14, 2026
The read tie-ins made it feel like it was written for right now. Huge win.
Iris Novak • Writer
Feb 14, 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.
Benito Silva • Analyst
Feb 14, 2026
The excerpt tie-ins made it feel like it was written for right now. Huge win.
Lina Ahmed • Product Manager
Feb 17, 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. (Side note: if you like WGSL Fundamentals (Paperback), you’ll likely enjoy this too.)
Noah Kim • Indie Dev
Feb 10, 2026
Okay, wow. This is one of those books that makes you want to do things. The ai framing is chef’s kiss.
Iris Novak • Writer
Feb 14, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The ai sections feel super practical.
Benito Silva • Analyst
Feb 13, 2026
The excerpt tie-ins made it feel like it was written for right now. Huge win.
Harper Quinn • Librarian
Feb 10, 2026
Okay, wow. This is one of those books that makes you want to do things. The ai framing is chef’s kiss.
Maya Chen • UX Researcher
Feb 15, 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.
Leo Sato • Automation
Feb 12, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the webgpu arguments land.
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 read, 2026, excerpt, time.
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