--- product_id: 123387270 title: "Data Visualization: A Practical Introduction" brand: "princeton university press" price: "FREE" currency: AED in_stock: false reviews_count: 10 category: "Digital Ebook Purchas" url: https://www.desertcart.ae/products/123387270-data-visualization-a-practical-introduction store_origin: AE region: United Arab Emirates --- # Data Visualization: A Practical Introduction **Brand:** princeton university press **Price:** FREE **Availability:** ❌ Out of Stock ## Quick Answers - **What is this?** Data Visualization: A Practical Introduction by princeton university press - **How much does it cost?** FREE with free shipping - **Is it available?** Currently out of stock - **Where can I buy it?** [www.desertcart.ae](https://www.desertcart.ae/products/123387270-data-visualization-a-practical-introduction) ## Best For - princeton university press enthusiasts ## Why This Product - Trusted princeton university press brand quality - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description Full description not available ## Images ![Data Visualization: A Practical Introduction - Image 1](https://m.media-amazon.com/images/I/410TgmQuARL.jpg) ## Customer Reviews ### ⭐⭐⭐ Needs a competent proofreader & copy-editor *by J***. on Reviewed in the United States on April 9, 2019* While generally clear, there there are enough cases where Healy uses terms & notations before explaining them, and at least one where they're not explained _after_ they're used either. If there were a more comprehensive index, or a section explaining these, it wouldn't be a problem, but there isn't.There's also one case where the text associated with a figure is both inaccurate and essentially "left as an execise for the reader.The example I'll give is from p.47, but it's not the first instance of this problem -- just the straw that broke my back.FWIW, I'm not a newbie: I've been a programmer for 40 years, and have worked in at least a dozen high-level languages, including APL, FORTRAN, COBOL, Pascal, C/C++, Java, Lisp, Prolog, and Perl. Some of these (e.g., Perl & APL) have pretty exotic sytaxes, so I'm not unfamiliar with compact and hieroglyphic notation. I'm not bragging -- after 40 years, I'd be a slacker if I hadn't accumulated a decent amount of experience -- just saying that I do have (at least in theory) enough background that I don't think I'm just being stupid.In this example, Healy has presented a data frame, and then a tibble created from it. He says "Look carefully at the top and bottom of the output to see what additional information the tibble class gives you over and above the data frame version."The only _substantive_ difference at the top is a row between the first row (var names) and the first observation that reads as follows: "dbl" is easy, but WTF is fct? "function"? "fact"? looks like string data (perished, survived; male, female), but my intuition says that we have two defined enumerated data types, each with two values ... but ...I should not have to rely on guesswork: the meaning of should be easily accessible.There's no index entry for "fct"; I see one for "facet" -- is this a facet? I won't find out for another 30 pages. If this were the Kindle version, I could search for , and for fct if I find nothing for -- but (a) this if the paperback and (b) I shouldn't _have to_ search for the meaning of a notation in an example.Returning to the tibble, there is _nothing_ added at the bottom: the last row is the same as the last row of the data frame (modulo the addition of a decimal point after 344, the value of the "n" variable).I haven't decided yet whether to return it, but I'm put off by sloppy proofreading & copy-editing, partly because it's unprofessional, but largely because I'm a publisher and have _done_ proofing & copy-editing for 6 books, and I am scrupulous about it (and have at least 2 other people check me before I release a title). It's hard, and time-consuming, but to have an otherwise decent book marred by random glitches like this decreases the value & utility of the book.If I can find errata for this book, and they address the many glitches I've found, I may keep it; o/w I'll wait for the 2nd edition. ### ⭐⭐⭐⭐⭐ Beautiful, well written, and comprehensive in a way that's very unusual for technical books *by S***Y on Reviewed in the United States on December 19, 2018* The world of data visualization has always been a bit bifurcated; you could look at wonderful pretty pictures of graphs and learn theory, or you could learn statistical software packages, but connecting the two was left as an exercise for the oft-confused reader. This book is beautiful, and full of exceptionally clear and practically useful graphs, but it also walks through all the steps of getting up and running with visual scientific communication, from installing R through downloading data sets through plain-text manuscript generation. Every element of this book is an incredibly important component of what beginning researchers need to learn to communicate scientific ideas, and having them rolled into a single attractive and carefully composed package is a delight and fairly revelatory. I want -- but realize I will not get -- all technical books to find as elegant a balance as this one does. ### ⭐⭐⭐⭐⭐ Excellent guide for beginners and experts alike *by M***A on Reviewed in the United States on January 3, 2019* In the preface to the Data Visualization: A Practical Introduction author Kieran Healy writes:My main goal is to introduce you to both the ideas and the methods of data visualization in a sensible, comprehensible, reproducible way.Well, mission accomplished. The book is at once enormously readable, and sufficiently technically detailed as to make it easy to implement the principles introduced.The book itself is also beautifully designed. The use of figures and margin notes give you a sense of being guided through the ideas rather than just being told what they are. I've had lots of fun going back to some of my own visualizations made with R and ggplot2 and improving them based on what I learned here.I absolutely recommend this to beginners and experts alike. Healy gives you everything you'd need to know if you're starting from scratch, but in such a way as to not slow things down for the more experienced reader. For that reason, it would also make a great book for a course on applied use of R. --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.ae/products/123387270-data-visualization-a-practical-introduction](https://www.desertcart.ae/products/123387270-data-visualization-a-practical-introduction) --- *Product available on Desertcart United Arab Emirates* *Store origin: AE* *Last updated: 2026-05-17*