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Author: Hunter Barrett Publisher: ISBN: 9780998105741 Category : Computers Languages : en Pages : 66
Book Description
Why did you click this book? Maybe you're an executive who wants quick insights into your organization. You're busy. We get that. You'll probably only skim this book in 20 minutes. But we hope you're compelled by its intuitive visual analytics and the chance to track progress and increase your company's impact. How about getting a box of these books to hand out to your data analytics teams across the company? Maybe you're a team lead who relies on data to fulfill your commitments to your organization. Do you need engaging analytics for your technology group? Sales operations? Finance or marketing program? We're betting yes. Then you'll probably settle in and spend a few hours reading this book and relating to the dashboard examples that best match your department. How about getting 10 or more copies for the other people in your team? Or maybe you're an analytics expert. You geek out on software like Tableau and digging deep into the realm of data visualization. We do too! You'll likely spend days on this book pouring over all the incredible practices and concepts embedded in it. We hope so anyway. Our intent is to highlight best practices for dashboard design and empower you to further explore all those data points we know you're obsessed with. We got your back on this. No matter who you are, we're sure you'll agree that successful organizations don't just tell data stories--they use excellent design to do so. They find harmony between data and art. We've done just that by creating our 5 Elements of Dashboard Design: Integrity, Flow, Color, Typeface and Charm. With these powerful standards, we consistently help people use data to realize better outcomes. So be inspired. Partner with us. And take from this collection of 20 custom dashboards what you will. Then don't be shy. Blog about it. Recommend it to friends. Put it on the office coffee table. Whatever you do, know that we are one of you!
Author: Hunter Barrett Publisher: ISBN: 9780998105741 Category : Computers Languages : en Pages : 66
Book Description
Why did you click this book? Maybe you're an executive who wants quick insights into your organization. You're busy. We get that. You'll probably only skim this book in 20 minutes. But we hope you're compelled by its intuitive visual analytics and the chance to track progress and increase your company's impact. How about getting a box of these books to hand out to your data analytics teams across the company? Maybe you're a team lead who relies on data to fulfill your commitments to your organization. Do you need engaging analytics for your technology group? Sales operations? Finance or marketing program? We're betting yes. Then you'll probably settle in and spend a few hours reading this book and relating to the dashboard examples that best match your department. How about getting 10 or more copies for the other people in your team? Or maybe you're an analytics expert. You geek out on software like Tableau and digging deep into the realm of data visualization. We do too! You'll likely spend days on this book pouring over all the incredible practices and concepts embedded in it. We hope so anyway. Our intent is to highlight best practices for dashboard design and empower you to further explore all those data points we know you're obsessed with. We got your back on this. No matter who you are, we're sure you'll agree that successful organizations don't just tell data stories--they use excellent design to do so. They find harmony between data and art. We've done just that by creating our 5 Elements of Dashboard Design: Integrity, Flow, Color, Typeface and Charm. With these powerful standards, we consistently help people use data to realize better outcomes. So be inspired. Partner with us. And take from this collection of 20 custom dashboards what you will. Then don't be shy. Blog about it. Recommend it to friends. Put it on the office coffee table. Whatever you do, know that we are one of you!
Author: Giorgia Lupi Publisher: Chronicle Books ISBN: 1616895462 Category : Design Languages : en Pages : 304
Book Description
Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.
Author: David Spiegelhalter Publisher: Basic Books ISBN: 1541618521 Category : Mathematics Languages : en Pages : 359
Book Description
In this "important and comprehensive" guide to statistical thinking (New Yorker), discover how data literacy is changing the world and gives you a better understanding of life’s biggest problems. Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs.
Author: Kristin H. Jarman Publisher: John Wiley & Sons ISBN: 1118411315 Category : Mathematics Languages : en Pages : 192
Book Description
A friendly and accessible approach to applying statistics in the real world With an emphasis on critical thinking, The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics presents fun and unique examples, guides readers through the entire data collection and analysis process, and introduces basic statistical concepts along the way. Leaving proofs and complicated mathematics behind, the author portrays the more engaging side of statistics and emphasizes its role as a problem-solving tool. In addition, light-hearted case studies illustrate the application of statistics to real data analyses, highlighting the strengths and weaknesses of commonly used techniques. Written for the growing academic and industrial population that uses statistics in everyday life, The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics highlights important issues that often arise when collecting and sifting through data. Featured concepts include: • Descriptive statistics • Analysis of variance • Probability and sample distributions • Confidence intervals • Hypothesis tests • Regression • Statistical correlation • Data collection • Statistical analysis with graphs Fun and inviting from beginning to end, The Art of Data Analysis is an ideal book for students as well as managers and researchers in industry, medicine, or government who face statistical questions and are in need of an intuitive understanding of basic statistical reasoning.
Author: Tryggvi Björgvinsson Publisher: Manning Publications ISBN: 9781617294716 Category : Computers Languages : en Pages : 300
Book Description
With this practical guide, readers will master an iterative process for identifying and refining user data needs and reflecting those requirements in data projects. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats.
Author: Christian Bird Publisher: Elsevier ISBN: 0124115438 Category : Computers Languages : en Pages : 673
Book Description
The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science. The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It covers a wide variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics such as release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions. - Presents best practices, hints, and tips to analyze data and apply tools in data science projects - Presents research methods and case studies that have emerged over the past few years to further understanding of software data - Shares stories from the trenches of successful data science initiatives in industry
Author: Christoph Grunberger Publisher: Niggli ISBN: 9783721210156 Category : Art Languages : en Pages : 400
Book Description
A compendium for everybody who is interested in what art will be like in the upcoming decade: Global pioneers of data-driven design share their projects and give behind-the-scene looks at some of the most genre-redefining work, providing insights and outlooks on how it influences our current and future reality.
Author: Roger D. Peng Publisher: ISBN: 9781365061462 Category : Business & Economics Languages : en Pages : 170
Book Description
"This book describes the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and this book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science."--Leanpub.com.
Author: Heather Houser Publisher: Columbia University Press ISBN: 023154720X Category : Literary Criticism Languages : en Pages : 224
Book Description
How do artists and writers engage with environmental knowledge in the face of overwhelming information about catastrophe? What kinds of knowledge do the arts produce when addressing climate change, extinction, and other environmental emergencies? What happens to scientific data when it becomes art? In Infowhelm, Heather Houser explores the ways contemporary art manages environmental knowledge in an age of climate crisis and information overload. Houser argues that the infowhelm—a state of abundant yet contested scientific information—is an unexpectedly resonant resource for environmental artists seeking to go beyond communicating stories about crises. Infowhelm analyzes how artists transform the techniques of the sciences into aesthetic material, repurposing data on everything from butterfly migration to oil spills and experimenting with data collection, classification, and remote sensing. Houser traces how artists ranging from novelist Barbara Kingsolver to digital memorialist Maya Lin rework knowledge traditions native to the sciences, entangling data with embodiment, quantification with speculation, precision with ambiguity, and observation with feeling. Their works provide new ways of understanding environmental change while also questioning traditional distinctions between types of knowledge. Bridging the environmental humanities, digital media studies, and science and technology studies, this timely book reveals the importance of artistic medium and form to understanding environmental issues and challenges our assumptions about how people arrive at and respond to environmental knowledge.
Author: Kuan-Ching Li Publisher: CRC Press ISBN: 0429018037 Category : Business & Economics Languages : en Pages : 429
Book Description
Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning, Big Data capture and representation, AI for Big Data applications, and more. Features Presents state-of-the-art research in big data and smart computing Provides a broad coverage of topics in data science and machine learning Combines computing methods with domain knowledge and a focus on applications in science, engineering, and business Covers data security and privacy, including AI techniques Includes contributions from leading researchers
Author: Hunter Barrett
Author: Hunter Barrett
Author: Giorgia Lupi
Author: David Spiegelhalter
Author: Kristin H. Jarman
Author: Tryggvi Björgvinsson
Author: Christian Bird
Author: Christoph Grunberger
Author: Roger D. Peng
Author: Heather Houser
Author: Kuan-Ching Li