Описание: New edition of a classic reference work recognizes recent developments in information literacy--including finding, evaluating, and citing a wide range of digital sources--and the evolving use of software for citation management, graphics, and paper format and submission while continuing to reflect best practices for research and writing.
Описание: Designed for presenters of scholarly or data-intensive content, Better Presentations details essential strategies for developing clear, sophisticated, and visually captivating presentations. With a range of clear examples for what to do (and what not to do), Jonathan Schwabish shares the best techniques to display work and win over audiences.
The only data visualization book written by and for health and healthcare professionals.
In health and healthcare, data and information are coming at organizations faster than they can consume and interpret it. Health providers, payers, public health departments, researchers, and health information technology groups know the ability to analyze and communicate this vast array of data in a clear and compelling manner is paramount to success. However, they simply cannot find experienced people with the necessary qualifications. The quickest (and often the only) route to meeting this challenge is to hire smart people and train them.
Visualizing Health and Healthcare Data: Creating Clear and Compelling Visualizations to "See how You're Doing" is a one-of-a-kind book for health and healthcare professionals to learn the best practices of data visualization specific to their field. It provides a high-level summary of health and healthcare data, an overview of relevant visual intelligence research, strategies and techniques to gather requirements, and how to build strong teams with the expertise required to create dashboards and reports that people love to use. Clear and detailed explanations of data visualization best practices will help you understand the how and the why.
Learn how to build beautiful and useful data products that deliver powerful insights for the end user
Follow along with examples of data visualization best practices, including table and graph design for health and healthcare data
Learn the difference between dashboards, reports, multidimensional exploratory displays and infographics (and why it matters)
Avoid common mistakes in data visualization by learning why they do not work and better ways to display the data
Written by a top leader in the field of health and healthcare data visualization, this book is an excellent resource for top management in healthcare, as well as entry-level to experienced data analysts in any health-related organization.
Описание: Designed for presenters of scholarly or data-intensive content, Better Presentations details essential strategies for developing clear, sophisticated, and visually captivating presentations. With a range of clear examples for what to do (and what not to do), Jonathan Schwabish shares the best techniques to display work and win over audiences.
Establish business agility in your organization by applying industry-proven scaling strategies from popular Scrum frameworks such as Scrum of Scrums (SoS), Scrum@Scale, Nexus, Large-Scale Scrum (LeSS), Disciplined Agile, and SAFe
Key Features
Learn how to be Agile at scale by implementing best practices
Understand how Lean-Agile practices are incorporated in Disciplined Agile and the Scaled Agile Framework (SAFe)
Customize Scrum and Lean-Agile practices to support portfolio and large product development needs
Book Description
Scaled Scrum and Lean-Agile practices provide essential strategies to address large and complex product development challenges not addressed in traditional Scrum. This Scrum/ Lean-Agile handbook provides a comprehensive review and analysis of industry-proven scaling strategies that enable business agility on an enterprise scale. Free of marketing hype or vendor bias, this book helps you decide which practices best fit your situation.
You'll start with an introduction to Scrum as a lightweight software development framework and then explore common approaches to scaling it for more complex development scenarios. The book will then guide you through systems theory, lean development, and the application of holistic thinking to more complex software and system development activities. Throughout, you'll learn how to support multiple teams working in collaboration to develop large and complex products and explore how to manage cross-team integration, dependency, and synchronization issues. Later, you'll learn how to improve enterprise operational efficiency across value creation and value delivery activities, before discovering how to align product portfolio investments with corporate strategies.
By the end of this Scrum book, you and your product teams will be able to get the most value out of Agile at scale, even in complex cyber-physical system development environments.
What you will learn
Understand the limitations of traditional Scrum practices
Explore the roles and responsibilities in a scaled Scrum and Lean-Agile development environment
Tailor your Scrum approach to support portfolio and large product development needs
Apply systems thinking to evaluate the impacts of changes in the interdependent parts of a larger development and delivery system
Scale Scrum practices at both the program and portfolio levels of management
Understand how DevOps, test automation, and CI/CD capabilities help in scaling Scrum practices
Who this book is for
Executives, product owners, Scrum masters, development team members, and other stakeholders who need to learn how to scale Agile to support large, complex projects and large enterprise portfolios and programs will find this book useful. A basic understanding of the values and principles of Agile and the Scrum-based framework for Agile development practices is required before you get started with this Agile Scrum book.
The Fullstack D3 book is the complete guide to D3. With dozens of code examples showing each step, you can gain new insights into your data by creating visualizations.
Learn how to quickly turn data into insights with D3
We have the data. But it needs to be understood by humans. The best way to convert this data into an understandable format is to mold it into a data visualization.
And D3 is the best tool for job if you need to create custom data visualizations.
With Fullstack D3 and Data Visualization you and your team will be able to share key insights, uncover problems before they start, and impress your boss by creating gorgeous visualizations.
What's Inside
Chapter 0: Introduction When would you want to use D3.js?
There is a spectrum of libraries to create charts on the web: on one end, you have easy-to-use, basic libraries that will create a standard chart type.
Chapter 1: Making your first chart In this chapter we make a line chart. Line charts are a great starting place because of their popularity, but also because of their simplicity.
Chapter 2: Making a scatterplot When looking at the relationship between two metrics, a scatterplot is a good choice. In this chapter we show how to create a scatterplot.
Chapter 3: Making a bar chart In this chapter we cover how to create a histogram, which is a bar chart that shows the distribution of one metric, with the metric values on the x axis and the frequency of values on the y axis.
Chapter 4: Animations and Transitions When we update our charts, we can animate elements from their old to their new positions. These animations can be visually exciting, but more importantly, they have functional benefits.
Chapter 5: Interactions The biggest advantage of creating charts with JavaScript is the ability to respond to user input.
Chapter 6: Making a map Maps are also uniquely good at answering geography-based questions. In this chapter, we'll build a map and learn how to plot values within a location.
Chapter 7: Data Visualization Basics Now that we're comfortable with how to create a chart, we should zoom out a bit and talk about what chart to create.
Chapter 8: Common Charts In this chapter, we talk about common chart types and when to use them.
Chapter 9: Dashboard Design
A dashboard is any web interface that makes sense out of dynamic data, and in this chapter we learn how to make one.
Chapter 10: Advanced Visualization: Marginal Histogram First, we'll focus on enhancing a chart we've already made: our scatter plot. This chart will have multiple goals, all exploring the daily temperature ranges in our weather dataset.
Chapter 11: Advanced Visualization: Radial Weather Chart We talked about radar charts in Chapter 10. For this project, we'll build a more complex radar chart.
Chapter 12: Advanced Visualization: Animated Sankey Diagram In this project, we'll be simulating real data and creating an animated diagram to engage our viewers.
Chapter 13: D3 and React What's the best way to draw a chart within React? It turns out that there is a fair bit of overlap in functionality between a React and D3 - we'll discuss how we can create blazing fast charts using the two together.
Chapter 14: D3 and Angular In this chapter we show how to create optimized SVG charts using D3 and Angular.
Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R’s syntax, you will work through data visualizations such as histograms and boxplot charting, descriptive statistics, and inferential statistics such as t-test, chi-square test, ANOVA, non-parametric test, and linear regressions.
Learn R for Applied Statistics is a timely skills-migration book that equips you with the R programming fundamentals and introduces you to applied statistics for data explorations.
What You Will Learn
Discover R, statistics, data science, data mining, and big dataMaster the fundamentals of R programming, including variables and arithmetic, vectors, lists, data frames, conditional statements, loops, and functionsWork with descriptive statistics Create data visualizations, including bar charts, line charts, scatter plots, boxplots, histograms, and scatterplotsUse inferential statistics including t-tests, chi-square tests, ANOVA, non-parametric tests, linear regressions, and multiple linear regressions
Who This Book Is For
Those who are interested in data science, in particular data exploration using applied statistics, and the use of R programming for data visualizations.
Описание: Data visualization is an efficient and effective medium for communicating large amounts of information. This book aims to demystify the design process for those who are already comfortable with data analysis, showing the reader how to encode information visually via a linear process of decision-making.
Описание: 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.
Автор: Meyer Miriah, Fisher Danyel Название: Making Sense of Data: Designing Effective Visualizations ISBN: 1491928468 ISBN-13(EAN): 9781491928462 Издательство: Wiley Рейтинг: Цена: 5067.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: If you`re a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level questions, well-defined data analysis tasks, and visualizations to clarify understanding and gain insights along the way.
Описание: Qlik Sense is powerful and creative visual analytics software that allows users to discover data, explore it, and dig out meaningful insights in order to make a profit and make decisions for your business. This course begins by introducing you to the features and functions of the most modern edition of Qlik Sense so you get to grips with the ...
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