Excel Dashboards E Visualiza O De Dados

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Data Visualization With Excel Dashboards And Reports

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Author : Dick Kusleika
language : en
Publisher: John Wiley & Sons
Release Date : 2021-02-04

Data Visualization With Excel Dashboards And Reports written by Dick Kusleika and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-04 with Computers categories.

Large corporations like IBM and Oracle are using Excel dashboards and reports as a Business Intelligence tool, and many other smaller businesses are looking to these tools in order to cut costs for budgetary reasons. An effective analyst not only has to have the technical skills to use Excel in a productive manner but must be able to synthesize data into a story, and then present that story in the most impactful way. Microsoft shows its recognition of this with Excel. In Excel, there is a major focus on business intelligence and visualization. Data Visualization with Excel Dashboards and Reports fills the gap between handling data and synthesizing data into meaningful reports. This title will show readers how to think about their data in ways other than columns and rows. Most Excel books do a nice job discussing the individual functions and tools that can be used to create an "Excel Report". Titles on Excel charts, Excel pivot tables, and other books that focus on "Tips and Tricks" are useful in their own right; however they don't hit the mark for most data analysts. The primary reason these titles miss the mark is they are too focused on the mechanical aspects of building a chart, creating a pivot table, or other functionality. They don't offer these topics in the broader picture by showing how to present and report data in the most effective way. What are the most meaningful ways to show trending? How do you show relationships in data? When is showing variances more valuable than showing actual data values? How do you deal with outliers? How do you bucket data in the most meaningful way? How do you show impossible amounts of data without inundating your audience? In Data Visualization with Excel Reports and Dashboards, readers will get answers to all of these questions. Part technical manual, part analytical guidebook; this title will help Excel users go from reporting data with simple tables full of dull numbers, to creating hi-impact reports and dashboards that will wow management both visually and substantively. This book offers a comprehensive review of a wide array of technical and analytical concepts that will help users create meaningful reports and dashboards. After reading this book, the reader will be able to: Analyze large amounts of data and report their data in a meaningful way Get better visibility into data from different perspectives Quickly slice data into various views on the fly Automate redundant reporting and analyses Create impressive dashboards and What-If analyses Understand the fundamentals of effective visualization Visualize performance comparisons Visualize changes and trends over time

Data Visualization And Statistical Literacy For Open And Big Data

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Author : Prodromou, Theodosia
language : en
Publisher: IGI Global
Release Date : 2017-03-20

Data Visualization And Statistical Literacy For Open And Big Data written by Prodromou, Theodosia and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-20 with Computers categories.

Data visualization has emerged as a serious scholarly topic, and a wide range of tools have recently been developed at an accelerated pace to aid in this research area. Examining different ways of analyzing big data can result in increased efficiency for many corporations and organizations. Data Visualization and Statistical Literacy for Open and Big Data 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.

Data Visualization In Excel

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Author : Jonathan Schwabish
language : en
Publisher: CRC Press
Release Date : 2023-05-30

Data Visualization In Excel written by Jonathan Schwabish and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-30 with Computers categories.

This book closes the gap between what people think Excel can do and what they can achieve in the tool. Over the past few years, recognition of the importance of effectively visualizing data has led to an explosion of data analysis and visualization software tools. But for many people, Microsoft Excel continues to be the workhorse for their data visualization needs, not to mention the only tool that many data workers have access to. Although Excel is not a specialist data visualization platform, it does have strong capabilities. The default chart types do not need to be the limit of the tool’s data visualization capabilities, and users can extend its features by understanding some key elements and strategies. Data Visualization in Excel provides a step-by-step guide to creating more advanced and often more effective data visualizations in Excel and is the perfect guide for anyone who wants to create better, more effective, and more engaging data visualizations.

Data Visualization Presentation With Microsoft Office

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Author : Valerie M. Sue
language : en
Publisher: SAGE Publications
Release Date : 2015-10-09

Data Visualization Presentation With Microsoft Office written by Valerie M. Sue and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-09 with Social Science categories.

Written for students, professionals, and social scientists with little or no knowledge of data visualization principles, Data Visualization & Presentation With Microsoft Office by Valerie M. Sue and Matthew T. Griffin presents step-by-step instructions for clearly and effectively presenting data using MS Office programs. Throughout the book, the focus is on turning raw, quantitative data into attractive, well-designed charts and tables that tell an accurate narrative about underlying information. Helpful illustrations, expert tips for solving common issues, and discussions about working efficiently are included to equip readers with the tools they need to engage their audience using a visual format.

Data Visualization Part 2

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Author : Tarek Azzam
language : en
Publisher: John Wiley & Sons
Release Date : 2013-12-31

Data Visualization Part 2 written by Tarek Azzam and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-31 with Education categories.

This issue delivers concrete suggestions for optimally using data visualization in evaluation, as well as suggestions for best practices in data visualization design. It focuses on specific quantitative and qualitative data visualization approaches that include data dashboards, graphic recording, and geographic information systems (GIS). Readers will get a step-by-step process for designing an effective data dashboard system for programs and organizations, and various suggestions to improve their utility. The next section illustrates the role that graphic recording can play in helping programs and evaluators understand and communicate the mission and impact that an intervention is having in a democratic and culturally competent way. The GIS section provides specific examples of how mapped data can be used to understand program implementation and effectiveness, and the influence that the environment has on these outcomes. Discusses best practices that inform and shape our data visualization design choices Highlights the best use of each tool/approach Provides suggestions for effective practice Discuss the strengths and limitations of each approach in evaluation practice This is the 140th volume of the Jossey-Bass quarterly report series New Directions for Evaluation, an official publication of the American Evaluation Association.

Effective Data Visualization

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Author : Stephanie D. H. Evergreen
language : en
Publisher: SAGE Publications
Release Date : 2019-04-03

Effective Data Visualization written by Stephanie D. H. Evergreen and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-03 with Social Science categories.

NOW IN FULL COLOR! Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate their data findings. This comprehensive how-to guide functions as a set of blueprints—supported by both research and the author’s extensive experience with clients in industries all over the world—for conveying data in an impactful way. Delivered in Evergreen’s humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for building the chosen graph in Excel. Now in full color with new examples throughout, the Second Edition includes a revamped chapter on qualitative data, nine new quantitative graph types, new shortcuts in Excel, and an entirely new chapter on Sharing Your Data With the World, which provides advice on using dashboards. New from Stephanie Evergreen! The Data Visualization Sketchbook provides advice on getting started with sketching and offers tips, guidance, and completed sample sketches for a number of reporting formats. Bundle Effective Data Visualization, 2e, and The Data Visualization Sketchbook, using ISBN 978-1-5443-7178-8!

Hr Analytics Data Driven Techniques

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Author : Manish Soni
language : en
Publisher:
Release Date : 2024-11-13

Hr Analytics Data Driven Techniques written by Manish Soni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Study Aids categories.

In the ever-evolving world of human resources, the emergence of HR analytics has revolutionized the way we understand and manage our workforce. "HR Analytics: Data-Driven Techniques" is a comprehensive guide designed to navigate you through the complexities of HR analytics, leveraging the power of Microsoft Excel. This book begins with a deep dive into the "Factors to Measure in HR Analytics", where we explore the fundamental aspects of HR analytics, including key factors, objectives, and the influence of human biases like naivety, entomologist, confirmation, projection, and stereotyping biases. Our journey then transitions into the basics with "Analytics — Introduction", providing a foundational understanding of analytics, including how to define, collect, organize, and visualize data using Excel's diverse charting capabilities such as pie charts, column charts, and the latest additions like histograms and treemaps. "Hiring Analytics and Challenges" addresses the practical application of analytics in hiring processes, discussing benchmarking, competency-based recruitment, and the critical role of interviewer bias. This section is essential for anyone looking to refine their hiring practices using data-driven strategies. "Introduction to HR Analytics" sets the stage for the rest of the book, outlining the definition, scope, and importance of HR analytics in modern business. As we delve into the "Fundamentals of Microsoft Excel for HR Analytics", readers will gain practical skills in utilizing Excel for data management and analysis – a critical tool in any HR professional's arsenal. The book then guides you through various analytical techniques, starting with "Descriptive Analytics in HR", where you learn to perform basic statistical analysis and data interpretation. "Performance Metrics" provides insights into structuring and applying performance metrics effectively, while "Compensation and HR Analytics" delves into creating comprehensive compensation frameworks and policies. For those interested in more advanced topics, chapters like "Diagnostic Analytics in HR", "Predictive Analytics in HR", and "Prescriptive Analytics in HR" cover everything from regression analysis to predictive modelling and strategic planning using Excel. We also explore "Advanced Excel Functions for HR Analytics" for more seasoned Excel users, aiming to automate and enhance their data analysis. The book does not stop at analytics within Excel; "Integrating Excel with Other HR Systems" provides valuable insights into how Excel can interact with various HRIS and other tools, emphasizing the importance of integration in modern HR practices. A highlight of this book is the "Case Study - Hiring Through Numbers — Using Hands-On Excel", offering a practical, step-by-step approach to applying HR analytics in real-world scenarios. This is complemented by "Case Studies and Real-World Applications", where we explore industry-specific examples across healthcare, technology, retail, and manufacturing sectors. "HR Analytics: Data-Driven Techniques" is not just a book; it's a journey into the heart of HR analytics. Whether you're an HR professional seeking to enhance your analytical skills, a student aspiring to enter the HR field, or a business leader looking to implement data-driven HR practices, this book is your comprehensive guide to mastering HR analytics with Microsoft Excel.

Future Proof Accounting

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Author : Mfon Akpan
language : en
Publisher: Emerald Group Publishing
Release Date : 2024-07-19

Future Proof Accounting written by Mfon Akpan and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-19 with Business & Economics categories.

Future-Proof Accounting: Data and Technology Strategies equips accounting students, professors, and industry experts with the knowledge needed to navigate the dynamic realm of accounting.

Business Analytics

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Author : Jeffrey D. Camm
language : en
Publisher: Cengage AU
Release Date : 2020-03-10

Business Analytics written by Jeffrey D. Camm and has been published by Cengage AU this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-10 with Business & Economics categories.

Present the full range of analytics -- from descriptive and predictive to prescriptive analytics -- with Camm/Cochran/Fry/Ohlmann's market-leading BUSINESS ANALYTICS, 4E. Clear, step-by-step instructions teach students how to use Excel, Tableau, R and JMP Pro to solve more advanced analytics concepts. As instructor, you have the flexibility to choose your preferred software for teaching concepts. Extensive solutions to problems and cases save grading time, while providing students with critical practice. This edition covers topics beyond the traditional quantitative concepts, such as data visualization and data mining, which are increasingly important in today's analytical problem solving. In addition, MindTap and WebAssign customizable digital course solutions offer an interactive eBook, auto-graded exercises from the printed book, algorithmic practice problems with solutions and Exploring Analytics visualizations to strengthen students' understanding of course concepts.

Designing User Interfaces With A Data Science Approach

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Author : Banubakode, Abhijit Narayanrao
language : en
Publisher: IGI Global
Release Date : 2022-03-18

Designing User Interfaces With A Data Science Approach written by Banubakode, Abhijit Narayanrao and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-18 with Computers categories.

Data science has been playing a vital role in almost all major fields. Many researchers are interested in the development of IT applications, which are user-driven with a focus on issues. This can be addressed using data science. User-driven research and data science have gained much attention from many private, public, and government organizations and research institutions. Designing User Interfaces With a Data Science Approach promotes the inclusion of more diversified users for user-centered designs of applications across domains and analyzes user data with a data science approach for effective and user-friendly user interface designs. It introduces the foundations of advanced topics of human-computer interaction, particularly with user-centered designs and techniques. Covering topics such as artificial neural networks, natural dialog systems, and machine learning, this book is an essential resource for faculty, research scholars, industry professionals, students of higher education, mathematicians, data scientists, interaction designers, visual designers, software engineers, user experience researchers, accessibility engineers, cognitive system engineers, academicians, and libraries.