Effective Data Visualisation For Researchers Principles Tools And Applications
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Effective Data Visualisation for Researchers: Principles, Tools and Applications
Author: Daniel Amoah-Oppong
language: en
Publisher: Deep Science Publishing
Release Date: 2025-06-19
The growing need for researchers to present their findings in a visually striking and academically rigorous way led to the development of this book. As PhD students in physical education and health promotion at the University of Cape Coast, we have seen firsthand the difficulties many students face in choosing the right visual tools to communicate their data effectively. This book has been written with a deliberate focus on accessibility and practicality. We tried to distil complex principles and technologies of visualisation into simplified, actionable knowledge, suitable for those at the beginning of their academic research careers. While the focus is on academic research, the principles and procedures described in this piece can be extended to professional reports, trade presentations, and policy documents where data-driven reporting is essential. We hope that this book will not only improve the technical skills of the reader but also give them a deeper understanding of the role of visual literacy in the research process. We are grateful to our mentors, colleagues, and students for giving us feedback and support throughout this process. This book is for all researchers and readers who seek truth, meaning, and progress through the written word.
Fundamentals of Data Visualization
Author: Claus O. Wilke
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2019-03-18
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
The Grammar of Graphics
Author: Leland Wilkinson
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-03-09
Before writing the graphics for SYSTAT in the 1980's, I began by teaching a seminar in statistical graphics and collecting as many different quantitative graphics as I could find. I was determined to produce a package that could draw every statistical graphic I had ever seen. The structure of the program was a collection of procedures named after the basic graph types they p- duced. The graphics code was roughly one and a half megabytes in size. In the early 1990's, I redesigned the SYSTAT graphics package using - ject-based technology. I intended to produce a more comprehensive and - namic package. I accomplished this by embedding graphical elements in a tree structure. Rendering graphics was done by walking the tree and editing worked by adding and deleting nodes. The code size fell to under a megabyte. In the late 1990's, I collaborated with Dan Rope at the Bureau of Labor Statistics and Dan Carr at George Mason University to produce a graphics p- duction library called GPL, this time in Java. Our goal was to develop graphics components. This book was nourished by that project. So far, the GPL code size is under half a megabyte.