Show Me the Numbers: Designing Tables and Graphs to Enlighten

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A must-read for anyone developing reports or dashboards." --Cindi Howson, founder, BI Scorecard, and author, Successful Business Intelligence: Secrets to Making BI a Killer App

Show Me The Numbers - Stehen Few.pdf Download PDF - Show Me The Numbers - Stehen Few.pdf

The Presentation Guild promotes the presentation design and production industry as a profession, recognizes the skills and expertise of presentation creation specialists, and provides opportunities for members to expand their knowledge and abilities.Making data simple is not so simple. Making data visually appealing can lead to misunderstandings. Data is not only about numbers but the meaning behind those numbers—their story. The solution, then, is to tell the right story about the data and guide the audience’s understanding of it. This leads to a shared interpretation. Some design professionals wonder what the future holds for our industry. Will we be supported or threatened by so many template companies that are popping around the world? A dedicated portion of the book for building good tables, which are generally ignored in these books in favor of graph design Surveys show that most patients have difficulty understanding one of the most significant documents they are likely to encounter in the course of treatment – their dentist’s treatment plan. The treatment plans are presented based on ADA codes and abbreviated procedure names, not it layman terms you can understand. Unless someone in the clinic explains it thoroughly, it’s a struggle. Big Data, Big Dupe is a little book about a big bunch of nonsense. The story of David and Goliath inspires us to hope that something little, when armed with truth, can topple something big that is a lie. This is the author's hope. While others have written about the dangers of Big Data, Stephen Few reveals the deceit that belies its illusory nature. If "data is the new oil," Big Data is the new snake oil. It isn't real. It's a marketing campaign that has distracted us for years from the real and important work of deriving value from data.

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A necessary book for those that are presenting and are concerned with the designs used for graphs, and tables. In other words, if you are a professor or involved in delivering reports to the management or public audiences it is a very useful resource. The book in a very detailed and sometimes even academic style explains the type of data, tables, graphs, designs, fonts, colours, patterns etc. used for presenting info to various audiences. It contains tons of examples, and every error in tables and graphs is shown and explained why it is a bad idea to use it. The book can be used as well for learning and testing your skills in this area by providing exercises and tests where you can see if you understood and are ready to apply the stuff you just read. A truly useful tool from the author that also helped Hans Rosling with his TED talk and presentation with the animated bubbles presenting advanced statistical data in time - the penultimate chapter is my favorite and is focusing on presenting animated data. In September, Nancy Duarte—CEO of Duarte, Inc. and Guild Advisor—will publish her next book DataStory: Explain Data and Inspire Action Through Story. The Presentation Guild interviewed her about how to be accurate in the creative process of data storytelling: I also think there will always be a place for more bespoke data visualizations and designs, because something that’s unique is more engaging and grabs attention.” The Guild asked Amy Cesal, Community Director at Data Visualization Society, to share her point of view about creating a meaningful experience in data presentations: However, there are a lot of benefits to less traditional, more creative methods of visualization. I experimented with visualizing information with Play-Doh, and the project really resonated with people. A unique design has the ability to grab people’s attention the way a simple bar chart might not.”Additionally, different tools have different uses and features. An organization or presenter might need to use several different ones depending on the data and analyses they are conducting. If we rely on only built-in templates, our outputs look like the tool that created. You can often spot an Excel or Tableau chart by sight. These tools are immensely useful, but the end goal should be to produce cohesive, branded visuals across the full suite of content produced by the organization, and this often requires more than built-in templates. Show me the numbers sounds clichéd, but numbers are what a data-oriented society expects. For designers and content professionals, this expectation comes with an additional challenge to represent the data in an impactful way. We want to help you take charge of your own dental care. So let’s start at the fundamentals – teeth numbers and names. Teeth Numbers Chart

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As presentation professionals, we know that there is no single formula for communicating numbers and meanings. But how do we establish a dialogue with clients who are only now beginning to appreciate data visualization techniques as an effective tool to communicate?

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Amy suggests subscribing to e-zines that include inspirational data visualization like Flowing Data by Nathan Yau and Fair Warning by Sophie Warnes. When you see what’s possible, then you can apply that inspiration to your own projects. She also suggests joining the Data Visualization Society, which she helped start. This organization is collecting resources and establishing best practices around data visualization to help mature the industry as a whole. Super boring. I skipped over almost all of it except the end-of-chapter summaries and image captions. Nancy wants designers to keep in mind that “data is finite and factual and should be visually represented as such.” She doesn’t like applying creative expression to data unless it enhances clarity or “builds important context for what you’re trying to convey.” Investing the time to create a really effective chart—especially if your company never had one before—can help stakeholders realize the value of good data design. As Amy noted, “You can’t expect people without much experience with data visualization to be able to imagine the value of data that hasn’t been viz-ed yet!”urn:lcp:showmenumbersdes0000fews:epub:9fce1801-6cf1-4eb8-bb44-6040b6d4363b Foldoutcount 0 Identifier showmenumbersdes0000fews Identifier-ark ark:/13960/s24k6stn222 Invoice 1652 Isbn 9780970601995 Access-restricted-item true Addeddate 2022-06-17 06:08:21 Autocrop_version 0.0.14_books-20220331-0.2 Bookplateleaf 0006 Boxid IA40572219 Camera Sony Alpha-A6300 (Control) Collection_set printdisabled External-identifier Excellent references: Edward R. Tufte (design of graphs and visual information elements), William S. Cleveland (design and interpretation of visual information artifacts), Colin Ware (human perception and memory model associated with visualization), John W. Tukey (statistics). Also some good references, less known: Gene Zelazny (practical guidelines on charts and slideware), Jonathan G. Koomey (high-level process from data to knowledge, Robert L. Harris (reference), Manfredo Massironi (psychology), Nancy Duarte (slideware presentations).