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Dear Data

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Dear Data

Dear Data Book
Author : Giorgia Lupi,Stefanie Posavec
Publisher : Chronicle Books
Release : 2016-09-13
ISBN : 1616895462
Language : En, Es, Fr & De

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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.

Dear Data

Dear Data Book
Author : Giorgia Lupi
Publisher : Particular Books
Release : 2016-09-01
ISBN : 9781846149061
Language : En, Es, Fr & De

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Book Description :

From an award-winning project comes an inspiring, collaborative book that makes data artistic, personal - and open to all Each week for a year, Giorgia and Stefanie sent each other a postcard describing what had happened to them during that week around a particular theme. But they didn't write it, they drew it: a week of smiling, a week of apologies, a week of desires. Presenting their fifty-two cards, along with thoughts and ideas about the data-drawing process, Dear Data hopes to inspire you to draw, slow down and make connections with other people, to see the world through a new lens, where everything and anything can be a creative starting point for play and expression.

Dear Data

Dear Data Book
Author : Giorgia Lupi,Stefanie Posavec
Publisher : Princeton Architectural Press
Release : 2016-09-06
ISBN : 9781616895327
Language : En, Es, Fr & De

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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.

Observe Collect Draw

Observe  Collect  Draw  Book
Author : Giorgia Lupi
Publisher : Unknown
Release : 2018-09-25
ISBN : 9781616897147
Language : En, Es, Fr & De

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Book Description :

A guided journal with a fresh approach to the trendof journal-as-tool-for-self-examination. The journal is delightfully illustrated in the authors' trademark style-- accessible, whimsical, detailed. Blending inspiring examples with engaging instruction, this journal asks: What do we learn about ourselves when we measure our gratitude, confidence, and distraction levels? What do our collections say about who we are: our books, music, the clothes we wear? Observe, Collect, Draw! functions as a mini-course in information design, as accessible to beginners as it is engaging to seasoned info designers.

Dear Data Postcard Kit

Dear Data Postcard Kit Book
Author : Giorgia Lupi,Stefanie Posavec
Publisher : Unknown
Release : 2017-09-12
ISBN : 9781616896324
Language : En, Es, Fr & De

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Book Description :

Download Dear Data Postcard Kit book written by Giorgia Lupi,Stefanie Posavec, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

I Am a Book I Am a Portal to the Universe

I Am a Book  I Am a Portal to the Universe Book
Author : Stefanie Posavec,Miriam Quick
Publisher : Particular Books
Release : 2020-09-03
ISBN : 9780241408759
Language : En, Es, Fr & De

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Book Description :

Hello. I am a book. But I'm also a portal to the universe. I have 112 pages, measuring twenty centimetres high and twenty centimetres wide. I weigh 450 grams. And I have the power to show you the wonders of the world.

Data Science in Education Using R

Data Science in Education Using R Book
Author : Ryan A. Estrellado,Emily A. Freer,Jesse Mostipak,Joshua M. Rosenberg,Isabella C. Velásquez
Publisher : Routledge
Release : 2020-10-26
ISBN : 1000200906
Language : En, Es, Fr & De

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Book Description :

Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.

W E B Du Bois s Data Portraits

W  E  B  Du Bois s Data Portraits Book
Author : The W.E.B. Du Bois Center at the University of Massachusetts Amherst
Publisher : Chronicle Books
Release : 2018-11-06
ISBN : 1616897775
Language : En, Es, Fr & De

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Book Description :

The colorful charts, graphs, and maps presented at the 1900 Paris Exposition by famed sociologist and black rights activist W. E. B. Du Bois offered a view into the lives of black Americans, conveying a literal and figurative representation of "the color line." From advances in education to the lingering effects of slavery, these prophetic infographics —beautiful in design and powerful in content—make visible a wide spectrum of black experience. W. E. B. Du Bois's Data Portraits collects the complete set of graphics in full color for the first time, making their insights and innovations available to a contemporary imagination. As Maria Popova wrote, these data portraits shaped how "Du Bois himself thought about sociology, informing the ideas with which he set the world ablaze three years later in The Souls of Black Folk."

An Introduction to Statistical Learning

An Introduction to Statistical Learning Book
Author : Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani
Publisher : Springer Science & Business Media
Release : 2013-06-24
ISBN : 1461471389
Language : En, Es, Fr & De

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Book Description :

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

Data Sketches

Data Sketches Book
Author : Nadieh Bremer,Shirley Wu
Publisher : CRC Press
Release : 2021-02-09
ISBN : 0429816820
Language : En, Es, Fr & De

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Book Description :

In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine this with powerful technical insights which reveal the mindset behind coding creatively. Exploring 12 different themes – from the Olympics to Presidents & Royals and from Movies to Myths & Legends – each pair of visualizations explores different technologies and forms, blurring the boundary between visualization as an exploratory tool and an artform in its own right. This beautiful book provides an intimate, behind-the-scenes account of all 24 projects and shares the authors’ personal notes and drafts every step of the way. The book features: Detailed information on data gathering, sketching, and coding data visualizations for the web, with screenshots of works-in-progress and reproductions from the authors’ notebooks Never-before-published technical write-ups, with beginner-friendly explanations of core data visualization concepts Practical lessons based on the data and design challenges overcome during each project Full-color pages, showcasing all 24 final data visualizations This book is perfect for anyone interested or working in data visualization and information design, and especially those who want to take their work to the next level and are inspired by unique and compelling data-driven storytelling.

Disrupting Data Governance

Disrupting Data Governance Book
Author : Laura B. Madsen
Publisher : Technics Publications
Release : 2019-12-06
ISBN : 1634626559
Language : En, Es, Fr & De

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Book Description :

Data governance is broken. It’s time we fix it. Why is data governance so ineffective? The truth is data governance programs aren’t designed for the way we run our data teams, they aren’t even designed for a modern organization at all. They were designed when reports still came through inter-office mail. The flow of data into, within, and out of today’s organizations is a tsunami breaking through rigid data governance methods. Yet our programs still rely on that command and control approach. Have you ever tried to control a tsunami? Every organization that uses data knows that they need a data governance program. Data literacy efforts and legislation like GDPR have become the bellwethers for our governance functions. But we still sit in data governance meetings without enough people and too many questions to move things forward. There’s no agility to the program because we imply a degree of frailty to the data that doesn’t exist. We continue to insist on archaic methods that bring no value to our organizations. Achieving deep insights from data can’t happen without good governance practices. All indicators point to the need to create a resilient and responsive data governance function. Where we go from here, and how we achieve success in data governance requires a radically different way. The hard truth: it’s time to challenge everything we know about data governance. Laura Madsen shows you how to redefine governance for the modern age. With a casual, witty style Madsen taps on her decades of experience, shares interviews with other best-in-field experts and grounds her perspective in research. Witness where it all fell apart, challenge long-held beliefs, and commit to a fundamental shift—that governance is not about stopping or preventing usage but about supporting the usage of data. Be able to bring back trust and value to our data governance functions, and learn the: · People-driven approach to governance · Processes that support the tsunami of data · Cutting edge technology that’s enabling data governance

Dear Science and Other Stories

Dear Science and Other Stories Book
Author : Katherine McKittrick
Publisher : Duke University Press
Release : 2020-12-14
ISBN : 1478012579
Language : En, Es, Fr & De

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Book Description :

In Dear Science and Other Stories Katherine McKittrick presents a creative and rigorous study of black and anticolonial methodologies. Drawing on black studies, studies of race, cultural geography, and black feminism as well as a mix of methods, citational practices, and theoretical frameworks, she positions black storytelling and stories as strategies of invention and collaboration. She analyzes a number of texts from intellectuals and artists ranging from Sylvia Wynter to the electronica band Drexciya to explore how narratives of imprecision and relationality interrupt knowledge systems that seek to observe, index, know, and discipline blackness. Throughout, McKittrick offers curiosity, wonder, citations, numbers, playlists, friendship, poetry, inquiry, song, grooves, and anticolonial chronologies as interdisciplinary codes that entwine with the academic form. Suggesting that black life and black livingness are, in themselves, rebellious methodologies, McKittrick imagines without totally disclosing the ways in which black intellectuals invent ways of living outside prevailing knowledge systems.

What Algorithms Want

What Algorithms Want Book
Author : Ed Finn
Publisher : MIT Press
Release : 2017-03-10
ISBN : 0262035928
Language : En, Es, Fr & De

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Book Description :

The gap between theoretical ideas and messy reality, as seen in Neal Stephenson, Adam Smith, and Star Trek. We depend on—we believe in—algorithms to help us get a ride, choose which book to buy, execute a mathematical proof. It's as if we think of code as a magic spell, an incantation to reveal what we need to know and even what we want. Humans have always believed that certain invocations—the marriage vow, the shaman's curse—do not merely describe the world but make it. Computation casts a cultural shadow that is shaped by this long tradition of magical thinking. In this book, Ed Finn considers how the algorithm—in practical terms, “a method for solving a problem”—has its roots not only in mathematical logic but also in cybernetics, philosophy, and magical thinking. Finn argues that the algorithm deploys concepts from the idealized space of computation in a messy reality, with unpredictable and sometimes fascinating results. Drawing on sources that range from Neal Stephenson's Snow Crash to Diderot's Encyclopédie, from Adam Smith to the Star Trek computer, Finn explores the gap between theoretical ideas and pragmatic instructions. He examines the development of intelligent assistants like Siri, the rise of algorithmic aesthetics at Netflix, Ian Bogost's satiric Facebook game Cow Clicker, and the revolutionary economics of Bitcoin. He describes Google's goal of anticipating our questions, Uber's cartoon maps and black box accounting, and what Facebook tells us about programmable value, among other things. If we want to understand the gap between abstraction and messy reality, Finn argues, we need to build a model of “algorithmic reading” and scholarship that attends to process, spearheading a new experimental humanities.

Ask a Manager

Ask a Manager Book
Author : Alison Green
Publisher : Ballantine Books
Release : 2018-05-01
ISBN : 0399181822
Language : En, Es, Fr & De

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Book Description :

From the creator of the popular website Ask a Manager and New York’s work-advice columnist comes a witty, practical guide to 200 difficult professional conversations—featuring all-new advice! There’s a reason Alison Green has been called “the Dear Abby of the work world.” Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don’t know what to say. Thankfully, Green does—and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You’ll learn what to say when • coworkers push their work on you—then take credit for it • you accidentally trash-talk someone in an email then hit “reply all” • you’re being micromanaged—or not being managed at all • you catch a colleague in a lie • your boss seems unhappy with your work • your cubemate’s loud speakerphone is making you homicidal • you got drunk at the holiday party Praise for Ask a Manager “A must-read for anyone who works . . . [Alison Green’s] advice boils down to the idea that you should be professional (even when others are not) and that communicating in a straightforward manner with candor and kindness will get you far, no matter where you work.”—Booklist (starred review) “The author’s friendly, warm, no-nonsense writing is a pleasure to read, and her advice can be widely applied to relationships in all areas of readers’ lives. Ideal for anyone new to the job market or new to management, or anyone hoping to improve their work experience.”—Library Journal (starred review) “I am a huge fan of Alison Green’s Ask a Manager column. This book is even better. It teaches us how to deal with many of the most vexing big and little problems in our workplaces—and to do so with grace, confidence, and a sense of humor.”—Robert Sutton, Stanford professor and author of The No Asshole Rule and The Asshole Survival Guide “Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.”—Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together

Dare to Lead

Dare to Lead Book
Author : Brené Brown
Publisher : Random House
Release : 2018-10-09
ISBN : 0399592520
Language : En, Es, Fr & De

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Book Description :

#1 NEW YORK TIMES BESTSELLER • Brené Brown has taught us what it means to dare greatly, rise strong, and brave the wilderness. Now, based on new research conducted with leaders, change makers, and culture shifters, she’s showing us how to put those ideas into practice so we can step up and lead. Look for Brené Brown’s new podcast, Dare to Lead, as well as her ongoing podcast Unlocking Us! NAMED ONE OF THE BEST BOOKS OF THE YEAR BY BLOOMBERG Leadership is not about titles, status, and wielding power. A leader is anyone who takes responsibility for recognizing the potential in people and ideas, and has the courage to develop that potential. When we dare to lead, we don’t pretend to have the right answers; we stay curious and ask the right questions. We don’t see power as finite and hoard it; we know that power becomes infinite when we share it with others. We don’t avoid difficult conversations and situations; we lean into vulnerability when it’s necessary to do good work. But daring leadership in a culture defined by scarcity, fear, and uncertainty requires skill-building around traits that are deeply and uniquely human. The irony is that we’re choosing not to invest in developing the hearts and minds of leaders at the exact same time as we’re scrambling to figure out what we have to offer that machines and AI can’t do better and faster. What can we do better? Empathy, connection, and courage, to start. Four-time #1 New York Times bestselling author Brené Brown has spent the past two decades studying the emotions and experiences that give meaning to our lives, and the past seven years working with transformative leaders and teams spanning the globe. She found that leaders in organizations ranging from small entrepreneurial startups and family-owned businesses to nonprofits, civic organizations, and Fortune 50 companies all ask the same question: How do you cultivate braver, more daring leaders, and how do you embed the value of courage in your culture? In this new book, Brown uses research, stories, and examples to answer these questions in the no-BS style that millions of readers have come to expect and love. Brown writes, “One of the most important findings of my career is that daring leadership is a collection of four skill sets that are 100 percent teachable, observable, and measurable. It’s learning and unlearning that requires brave work, tough conversations, and showing up with your whole heart. Easy? No. Because choosing courage over comfort is not always our default. Worth it? Always. We want to be brave with our lives and our work. It’s why we’re here.” Whether you’ve read Daring Greatly and Rising Strong or you’re new to Brené Brown’s work, this book is for anyone who wants to step up and into brave leadership.

Mobile Data Visualization

Mobile Data Visualization Book
Author : Bongshin Lee,Raimund Dachselt,Petra Isenberg
Publisher : Unknown
Release : 2021-12-23
ISBN : 9780367534714
Language : En, Es, Fr & De

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Book Description :

Mobile Data Visualization is the first book to provide an overview of how to e-ffectively visualize, analyze, and communicate data on mobile devices. This accessible book is a valuable and rich resource for visualization designers, practitioners, researchers, and students alike.

Dear Librarian

Dear Librarian Book
Author : Lydia M. Sigwarth
Publisher : Farrar, Straus and Giroux (BYR)
Release : 2021-06-01
ISBN : 037438990X
Language : En, Es, Fr & De

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Book Description :

When Lydia was five years old, she and her family had to leave their home. They hopped from Grandma's house to Aunt Linda's house to Cousin Alice's house, but no place was permanent. Then one day, everything changed. Lydia's mom took her to a new place — not a house, but a big building with stone columns, and tall, tall steps. The library. In the library, Lydia found her special spot across from the sunny window, at a round desk. For behind that desk was her new friend, the librarian. Together, Lydia and the librarian discovered a world beyond their walls, one that sparkled with spectacular joy. Paired with warm art by newcomer Romina Galotta and a foreword by Ira Glass, Dear Librarian is a "thank you" to anyone who has offered a child love and support during a difficult time.

Sharing Clinical Trial Data

Sharing Clinical Trial Data Book
Author : Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Responsible Sharing of Clinical Trial Data
Publisher : National Academies Press
Release : 2015-04-20
ISBN : 0309316324
Language : En, Es, Fr & De

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Book Description :

Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research--from funders, to researchers, to journals, to physicians, and ultimately, to patients.

Storytelling with Data

Storytelling with Data Book
Author : Cole Nussbaumer Knaflic
Publisher : John Wiley & Sons
Release : 2019-10-22
ISBN : 1119621496
Language : En, Es, Fr & De

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Book Description :

Influence action through data! This is not a book. It is a one-of-a-kind immersive learning experience through which you can become—or teach others to be—a powerful data storyteller. Let’s practice! helps you build confidence and credibility to create graphs and visualizations that make sense and weave them into action-inspiring stories. Expanding upon best seller storytelling with data’s foundational lessons, Let’s practice! delivers fresh content, a plethora of new examples, and over 100 hands-on exercises. Author and data storytelling maven Cole Nussbaumer Knaflic guides you along the path to hone core skills and become a well-practiced data communicator. Each chapter includes: ● Practice with Cole: exercises based on real-world examples first posed for you to consider and solve, followed by detailed step-by-step illustration and explanation ● Practice on your own: thought-provoking questions and even more exercises to be assigned or worked through individually, without prescribed solutions ● Practice at work: practical guidance and hands-on exercises for applying storytelling with data lessons on the job, including instruction on when and how to solicit useful feedback and refine for greater impact The lessons and exercises found within this comprehensive guide will empower you to master—or develop in others—data storytelling skills and transition your work from acceptable to exceptional. By investing in these skills for ourselves and our teams, we can all tell inspiring and influential data stories!

Avoiding Data Pitfalls

Avoiding Data Pitfalls Book
Author : Ben Jones
Publisher : John Wiley & Sons
Release : 2019-11-19
ISBN : 1119278163
Language : En, Es, Fr & De

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Book Description :

Avoid data blunders and create truly useful visualizations Avoiding Data Pitfalls is a reputation-saving handbook for those who work with data, designed to help you avoid the all-too-common blunders that occur in data analysis, visualization, and presentation. Plenty of data tools exist, along with plenty of books that tell you how to use them—but unless you truly understand how to work with data, each of these tools can ultimately mislead and cause costly mistakes. This book walks you step by step through the full data visualization process, from calculation and analysis through accurate, useful presentation. Common blunders are explored in depth to show you how they arise, how they have become so common, and how you can avoid them from the outset. Then and only then can you take advantage of the wealth of tools that are out there—in the hands of someone who knows what they're doing, the right tools can cut down on the time, labor, and myriad decisions that go into each and every data presentation. Workers in almost every industry are now commonly expected to effectively analyze and present data, even with little or no formal training. There are many pitfalls—some might say chasms—in the process, and no one wants to be the source of a data error that costs money or even lives. This book provides a full walk-through of the process to help you ensure a truly useful result. Delve into the "data-reality gap" that grows with our dependence on data Learn how the right tools can streamline the visualization process Avoid common mistakes in data analysis, visualization, and presentation Create and present clear, accurate, effective data visualizations To err is human, but in today's data-driven world, the stakes can be high and the mistakes costly. Don't rely on "catching" mistakes, avoid them from the outset with the expert instruction in Avoiding Data Pitfalls.