[PDF] Looking At The Data eBook

Author : Kieran Healy
Publisher : Princeton University Press
Page : 292 pages
File Size : 48,38 MB
Release : 2018-12-18
Category : Social Science
ISBN : 0691181624

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An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions

Author : Elle Allison
Publisher : Advanced Learning Press
Page : 0 pages
File Size : 28,60 MB
Release : 2010
Category : Educational tests and measurements
ISBN : 9781933196992

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A Data Team is an organized group of teachers and administrators that monitors data, analyzes strengths and obstacles, establishes goals, selects instructional strategies, and evaluates results for individual students. Data Teams are the polar opposite of the old system that was euphemistically called, Wait to Fail where teachers took little or no action until the student failed. This is an anthology covering the major subsets of Data Team functions written by experts in those subsets.

Author : Giorgia Lupi
Publisher : Chronicle Books
Page : 304 pages
File Size : 28,72 MB
Release : 2016-09-13
Category : Design
ISBN : 1616895462

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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 : Kristoffer Bjärkefur
Publisher : World Bank Publications
Page : 388 pages
File Size : 10,99 MB
Release : 2021-07-16
Category : Business & Economics
ISBN : 1464816956

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Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? —Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University “Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? —Ruth E. Levine, PhD, CEO, IDinsight “Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.†? —Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley “The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? —Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University

Author : Paul Bambrick-Santoyo
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 19,3 MB
Release : 2010-04-12
Category : Education
ISBN : 0470548746

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Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD.

Author : Rochelle King
Publisher : "O'Reilly Media, Inc."
Page : 275 pages
File Size : 26,29 MB
Release : 2017-03-29
Category : Computers
ISBN : 1449334954

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On the surface, design practices and data science may not seem like obvious partners. But these disciplines actually work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. While data can enhance design, design can bring deeper meaning to data. This practical guide shows you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts. Complete with real-world examples, this book shows you how to make data-driven design part of your product design workflow. Understand the relationship between data, business, and design Get a firm grounding in data, data types, and components of A/B testing Use an experimentation framework to define opportunities, formulate hypotheses, and test different options Create hypotheses that connect to key metrics and business goals Design proposed solutions for hypotheses that are most promising Interpret the results of an A/B test and determine your next move

Author : Claus O. Wilke
Publisher : O'Reilly Media
Page : 390 pages
File Size : 29,37 MB
Release : 2019-03-18
Category : Computers
ISBN : 1492031054

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Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book’s visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story

Author : Douglas B. Reeves
Publisher : ASCD
Page : 186 pages
File Size : 15,41 MB
Release : 2020-08-31
Category : Education
ISBN : 1416629408

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"We can't do that in our school district." "I don't have time to add that to my curriculum." "We're fighting against impossible odds with these students." Sound familiar? School improvement can often feel like a losing battle, but it doesn't have to be. In this fully revised and updated second edition of The Learning Leader, Douglas B. Reeves helps leadership teams go beyond excuses to capitalize on their strengths, reduce their weaknesses, and reset their mindset and priorities to achieve unprecedented success. A critical key is recognizing student achievement as more than just a set of test scores. Reeves asserts that when leaders focus exclusively on results, they fail to measure and understand the importance of their own actions. He offers an alternative—the Leadership for Learning Framework, which helps leaders identify and distinguish among four different types of educators and provide more effective, tailored support to - "Lucky" educators, who achieve high results but don't understand how their actions influence achievement. - "Losing" educators, who achieve low results yet keep doing the same thing, expecting different outcomes. - "Learning" educators, who have not yet achieved the desired results but are working their way toward excellence. - "Leading" educators, who achieve high results and understand how their actions influence their success. Reeves stresses that effective leadership is neither a unitary skill nor a solitary activity. The Learning Leader helps leaders reconceptualize their roles in the school improvement process and motivate themselves and their colleagues to keep working to better serve their students.

Author : Ben Fry
Publisher : "O'Reilly Media, Inc."
Page : 384 pages
File Size : 48,7 MB
Release : 2008
Category : Computers
ISBN : 0596519303

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Provides information on the methods of visualizing data on the Web, along with example projects and code.

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
Page : 521 pages
File Size : 43,14 MB
Release : 2016-12-12
Category : Computers
ISBN : 1491910364

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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results