Better Data Visualizations
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Better Data Visualizations
Author: Jonathan Schwabish
language: en
Publisher: Columbia University Press
Release Date: 2021-02-09
Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do’s and don’ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart’s design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message.
Data Visualization in Excel
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 Hacks
Data Visualization Hacks: Tricks for Clear Insights explores the vital role of data visualization in making sense of vast amounts of information. In our digital age, data has become abundant and cheap, yet processing and understanding it can be challenging. This book guides readers through the steps of the data science process, emphasizing the importance of visualizing data to draw meaningful conclusions. We explain how to discover new patterns and spot trends using various visualization techniques. Beyond traditional methods like pie charts and histograms, we delve into advanced representations such as heat maps and fever charts. We also differentiate between data science and data visualization, highlighting the career opportunities in this field. Our book is designed for both beginners and seasoned professionals, making complex concepts easy to understand and apply. By the end, readers will have the knowledge to effectively visualize data and harness its power for business and personal insights.