Learning Excel for Economics & Business: Data Visualization Topics

The authors 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. The book addresses processes like data gathering, sketching, and coding data visualizations for the web, with screenshots of works-in-progress and reproductions from the authors' notebooks. 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.

This item examines the interdependent relationship between method and practice. Data Verbalization is about communicating and disseminating research data using performance approaches and techniques such as; spoken word, jazz, hip-hop, and reggae theatrics. Martin Glynn calls for the development of performance-driven research dissemination that seeks to bring urgent attention to minority, excluded, and marginalized perspectives within research dissemination as a whole. Employing the data verbalization method creates an exciting new proposition that can give progressive researchers a unique and distinct voice, alongside generating significant reach and impact beyond the academy, conference, and peer reviewed journal. The book will be an invaluable resource for researchers, scholars, and related practitioners who want to strengthen their ability to communicate and disseminate research data using live performance / spoken word approaches and techniques. It will also provide guidance for students and researchers wanting to generate wider environmental, social, and cultural impact using research data creatively.

Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. This book illustrates 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? Topics covered include use of color, redundand coding, good and bad examples, using figures to tell a compelling story. The book also contains a vizualizations directory, a graphic guide to commonly-used types of visualizations.

This book show how to make choices about portraying your data through asking high-level questions, well-defined data analysis tasks, and visualizations to clarify understanding. When incorporated into the process early and often, iterative visualization can help you refine the questions you ask of your data. The authors provide detailed case studies that demonstrate how this process can evolve in the real world.

This book provides a comprehensive reference for those tasked with building or overseeing the development of business dashboards. It includes examples that address different industries and departments (healthcare, transportation, finance, human resources, marketing, customer service, sports, etc.) and platforms (print, desktop, tablet, smartphone, and conference room display) The Big Book of Dashboards is the only book that matches great dashboards with real-world business scenarios.

Contents: Introduction -- Understanding data -- Visualization: the medium -- Representing data -- Exploring data visually -- Visualizing with clarity -- Designing for an audience -- Where to go from here

A visually intuitive approach to statistical data analysis, Visual Statistics brings the most complex and advanced statistical methods within reach of those with little statistical training by using animated graphics of the data.

Brand tracking, CRM programs, trade shows, online behavior tracking, satisfaction studies. Mounds of marketing metrics are generated across touchpoints and channels. Analytic dashboards are transformative web-based tools that gather, synthesize, and visually display essential data in real time, directly connecting marketing with performance.

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, and 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. This book builds the reader's expertise in ggplot2, a versatile visualization library for the R programming language through a series of examples, and shows how the "tidyverse" of data analysis tools makes working with R easier and more consistent.

This book highlights methodological developments in the way that data analytics is both learned and taught. Featuring extensive coverage on emerging relevant topics such as data complexity, statistics education, and curriculum development, this publication is geared toward teachers, academicians, students, engineers, professionals, and researchers that are interested in expanding their knowledge of data examination and analysis.