Information Dashboard Design: Displaying Data for At-a-Glance Monitoring $ (60) . Get your Kindle here, or download a FREE Kindle Reading App. Information Dashboard Design: Displaying Data for At-a-Glance Monitoring [ Stephen Few] on Get your Kindle here, or download a FREE Kindle Reading App. sidi-its.info emerged from this effort in recent years is the information dashboard. This single-screen display of the only when the visual design of dashboards is central to the development process and is informed by a solid.
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Information Dashboard Design: Displaying Data for At-a-glance Monitoring, Second Edition, Stephen Few, $ MSRP, August , Analytics Press. Dec 14, Download Read Information Dashboard Design (Stephen Few) PDF Free PDF Free Donwload Here. May 2, Free eBooks ePUB download Information Dashboard Design on any device Get Free.
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Information Dashboard Design
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Information Dashboard Design: The Effective Visual Communication of Data by Stephen Few
Are you sure you want to Yes No. Be the first to like this. No Downloads. Views Total views. Actions Shares. Embeds 0 No embeds. No notes for slide. Book details Author: Stephen Few Pages: Analytics Press Language: English ISBN Description this book A leader in the field of data visualization, Stephen Few exposes the common problems in dashboard design and describes its best practices in great detail and with a multitude of examples in this updated second edition. Examples of graphics and dashboards have been updated throughout, including additional samples of well- designed dashboards.
Download Here https: Este libro me fue dado en un viaje que realizaba. Lo principal que uno debe de aprender es: Jan 01, Laurian rated it really liked it Shelves: Just seeing the title of this book I knew that I had to do my due diligence and read it - after all, one of the products that I work on is creating the dashboard on which different little items reside on.
The last thing I wanted is for anyone to say "Hey have you read this book about information dashboard designs? I was a bit skeptical. Luckily the book ended up being pretty good. The Just seeing the title of this book I knew that I had to do my due diligence and read it - after all, one of the products that I work on is creating the dashboard on which different little items reside on.
The tone was right, the examples were well used, the layout was well designed, and I learned a good amount from it. I event wrote to my team and recommended that they give it a read. It is Friday, I'm tired, so I won't write more than this.
Oct 30, Nick rated it it was ok Shelves: While the underlying principles of effective data visual communication are well expressed and remain unchanged, the rest of this book—from —is seriously dated. In this field, no text can go without a complete catalog of chart types, and complaints of why radar graphs are obscure and hard to read; this book is no exception.
Advances in design systems and component libraries make many of the tactical recommendations moot. Interesting from an historical perspective, I suppose. Not recommended. Jan 12, Margie rated it liked it Recommended to Margie by: I'm not the best person to review this book.
I definitely started with the wrong Stephen Few book. This is the one my library had, but it focuses as might be expected quite narrowly on dashboards.
What I've seen referred to as dashboards are apparently far from the reality, so I was clearly in the wrong book. I appreciate his ability to discuss visual perception and effective display of data, so I'll read one of his other books and hope to get more out of it. Nov 15, Meagan rated it it was amazing.
This should be required reading for anyone involved in reporting or dashboard design. This book adresses dashboard content as well as user interface design.
He references Edward Tufte as well as some psychology studies about how people read and interpret information. This book is full of tips on what to do and what to avoid. He gives great examples and even picks on the major BI vendors in how they market and present "dashboards".
It's a pretty easy and enjoyable read. Apr 16, Felix rated it it was amazing Shelves: The book starts off with a definition of a dashboard before smoothly proceeding to expound on different types available.
The author then demonstrates how to tap into the powers of visual perception, expounds on the importance of simplicity and discusses common mistakes in dashboard design. Topics on the effective use of dashboard display media, designing for usability and making the viewing experience aesthetically pleasing are all covered in detail.
The book closes by putting all the concepts discussed together through a critique of sample dashboards. Stephen Few has over 30 years of experience in Information Technology as an innovator, teacher and consultant.
He has written several books on data visualization, among them: Show me the numbers, Big data- big dupe, Now you see it and Signal. The clients he serves fall in different sectors including; education, government, private sector, health care, technology etc.
There is no doubt that he is an authority in the field. I highly recommend this book to all people who want to visualize data. The book is written for beginners but goes into considerable length to expound on the thinking behind best practices. The fact that the discussion is vendor neutral makes the principles learned applicable to all data visualization tools.
Jan 08, Nicholas rated it really liked it. Really glad he included examples of the dashboards he wanted too fix from the early s, because if I just saw the recommended dashboards I wouldn't have really trusted his design choices. But when I compare what he recommends with what was actually out in the world, I can totally see how he knew what he was talking about.
I think he focused a bit to much on his weird bullet graph and his friend's spark line graphs, they both haven't caught on obviously.
I also didn't like his recommendations of Really glad he included examples of the dashboards he wanted too fix from the early s, because if I just saw the recommended dashboards I wouldn't have really trusted his design choices.
I also didn't like his recommendations of color. The muted Earth tones made everything kind of blurry and hard to parse.
But maybe on a computer screen they're be different. His recommendations on using whitespace to delineate things, avoiding tons of random colors and icons, using appropriate visualizations, avoiding stupid illustrations and graphics, and reducing nose are all totally things I see the value in though. I especially find the idea that everything should be visible and comprehensible without having to scroll or drill down interesting.
First, a major caveat - this is for dashboard as a single screen, invariant performance monitoring tool where the stakeholders glance at it frequently and need to be alerted about. Nowadays, dashboards tend to be a lot more about self-service drilldowns, a topic that this book touches on only very briefly.
But for design of a single-screen front page, this has a lot of useful and actionable tips. One sour note is that Few likes to really harp on negative examples. While this is a very useful tea First, a major caveat - this is for dashboard as a single screen, invariant performance monitoring tool where the stakeholders glance at it frequently and need to be alerted about. While this is a very useful teaching aid in moderation, he sometimes crosses over the threshold to just running up the score on design patterns like skeuomorphism that we're already well convinced against.
But despite this occasionally disrupting the books rhythm, the positive examples are well done and I intend to keep it at work as a desk reference.
Read this book if your job is to design dashboards or you want it to be - just be aware that more interactive dashboards, with drilldowns and live criteria filtering, are out of the scope of this book. Jan 20, Daniil Bratchenko rated it really liked it.
This book is a collection of best practices, things to do and not to do when building a dashboard. So far, I was building dashboards using my personal taste and intuition. This is my first book on the topic. It was informative and inspirational, a good source of ideas I did not figure out on my own.
The first part of the book was the most useful. It contains general ideas of what dashboards are and what purpose they serve. The idea of dashboard matching the user's mental model and being used to This book is a collection of best practices, things to do and not to do when building a dashboard.
The idea of dashboard matching the user's mental model and being used to refresh the model at a glance is now stuck with me. If I ever feel like putting a lot of time into designing a great dashboard, I will definitely return to this book. I quite like this book for a clear and organized presentation of what makes a good dashboard; I find it superior to Tufte in that the latter gives examples but fails to generalize them into principles that you can actually apply to new designs.
Few is my favorite author on the topic of graphical presentation. If dashboards are not relevant to your work, he also has another book, Now You See It: Simple Visualization Techniques for Quantitative Analysis ; reading one or the other of them will suffi I quite like this book for a clear and organized presentation of what makes a good dashboard; I find it superior to Tufte in that the latter gives examples but fails to generalize them into principles that you can actually apply to new designs.
Simple Visualization Techniques for Quantitative Analysis ; reading one or the other of them will suffice for most people. Oct 23, Alexey rated it really liked it Shelves: Jul 16, Supriya Raghavendra rated it liked it. Good but not the best. A good overview of fundamental ideas that one needs to be mindful of while designing dashboards and rather thorough at that!
However, the book falls short given how far dashboards have come since the time the book was written. Perhaps, this book needs revision of examples cited and addition of new chapters to keep it relevant to today's time. Essential reading for anyone dealing with dashboards and reports.
Oct 20, Jerzy rated it liked it Shelves: As usual for Stephen Few, the advice is generally good but the graph examples are almost all fake data devoid of context.
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We can't learn anything about the world from them Also, there's considerable overlap here with his other books, talking about visual perception and other principles that apply to any dataviz not just dashboards.
That's handy if you don't plan to read any dataviz book beyond this As usual for Stephen Few, the advice is generally good but the graph examples are almost all fake data devoid of context. That's handy if you don't plan to read any dataviz book beyond this one.
Just be aware you can skim most of this if you've seen it before. Still, there is some solid advice specifically about dashboards. Scrolling or switching tabs will make the dashboard useless. A good dashboard must be designed for a specific purpose. The intended user will need specific, customized info to meet their needsyou can't just make a general-purpose dashboard. Also, it must fit on a single screen and be designed to be monitored at a glance. Allowing interaction to show multiple screens is OK for details-on-demand, but the main screen must show the global overview.
You can't have everything fragmented with no global summary. Excessive detail is not just unneededit's harmful by wasting the busy reader's cognitive load. Don't use skeumorphic displays like gauges or thermometers unless they really are necessaryusually a simple bar or line will take up less space AND allow for better comparisons.
Good to remember that sometimes we DO need a table, not a graph, e. Shows the same content as the thermometers or gauges popular in dashboards, but in less space and with better usability.
This is almost always a bad idea, causing misleading interpretations unless you are only showing one dataset on two scales, such as Celsius and Fahrenheit. Good discussion of icons. Don't bother putting icons next to items that are doing well e. Just flag the problem cases e.
Your design should not only support meaningful comparisons e.
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