May 1, 2024
Updated May 10, 2025
20 minute read
Charting, at its core, is the visual representation of data. It involves creating graphical displays like charts and graphs to make complex information easier to understand and analyze. Think of it as a way to tell a story with data, revealing patterns, trends, and relationships that might otherwise be hidden in a sea of numbers. Charting is not just about making data look pretty; it's a powerful tool for gaining insights and making informed decisions across a multitude of disciplines.
Working with charts can be an engaging and exciting endeavor. For instance, in the fast-paced world of finance, charting is instrumental in technical analysis, helping traders and investors identify potential market movements and make strategic decisions. Beyond finance, charting is crucial in fields like data science, where visualizing complex datasets can unlock groundbreaking discoveries, and in business intelligence, where charts help organizations track performance and identify opportunities for growth. The ability to transform raw data into clear, actionable insights is a valuable skill in today's data-driven world.
Introduction to Charting
This section will lay the groundwork for understanding what charting is, how it has evolved, and where it's commonly used. It's designed to be accessible even if you have no prior experience with data visualization.
Definition and Basic Purpose of Charting
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Reading list
We've selected 44 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Charting.
This influential book presents a comprehensive framework for understanding the structure and principles of data graphics. It valuable resource for anyone who wants to create effective and meaningful visualizations.
Focuses on the use of statistical graphics in research. It provides guidelines for choosing appropriate chart types, interpreting data, and communicating findings effectively.
This foundational text is essential for gaining a broad understanding of charting and data visualization principles. It presents timeless concepts on designing effective graphics and is considered a classic in the field. While first published in 1983, its principles remain highly relevant today and it must-read for anyone serious about creating clear and accurate charts.
Considered a bible of technical analysis, this book is crucial for understanding charting in the context of financial markets. It covers a wide range of charting methods and applications used by traders. This must-read for anyone interested in using charts for financial analysis and trading.
Is highly recommended for those looking to apply charting to business contexts and effectively communicate insights. It focuses on the 'why' behind data visualization and provides practical guidance on creating compelling narratives with data. It's widely used by business professionals and is excellent for solidifying understanding of practical data storytelling.
Is the definitive guide to candlestick charting, a widely used technical analysis tool. It provides a thorough explanation of various candlestick patterns and their interpretation. It's essential for those focusing on financial charting and is considered a classic in this specific area.
Considered the original bible of technical analysis, this book lays out the foundational principles of analyzing stock trends through charting. While older, its concepts are still highly regarded and provide essential historical context.
Focuses on the principles of designing effective dashboards for monitoring data, which heavily relies on charting. It provides practical examples of good and bad dashboard design and is highly relevant for those interested in business intelligence and reporting.
Another excellent book by Stephen Few, this resource provides clear and practical guidance on designing tables and graphs to effectively communicate quantitative information. It's a great companion to 'Information Dashboard Design' and reinforces best practices in charting.
This practical book provides numerous examples of dashboards across various business scenarios, showing how to apply charting principles to real-world problems. It's valuable for professionals who design and use dashboards regularly. It serves as a great reference tool for practical application.
Offers a practical introduction to creating informative and compelling figures, covering a wide range of visualization problems. It's a good resource for gaining a broad understanding of different chart types and their applications. The book is relatively recent and provides a solid foundation for those new to the field.
Collection of real-world dashboard examples across various industries. It's an excellent resource for inspiration and understanding how charting is used in business intelligence dashboards. It's more of a reference tool than a theoretical text.
Delves into the science behind data visualization, focusing on human perception and cognitive psychology. Understanding these principles is crucial for creating effective charts that accurately convey information. It's a more academic text but highly valuable for those wanting to deepen their understanding.
In this book, Alberto Cairo explores how charts can be misleading and teaches readers how to critically evaluate visual information. It's a crucial read for developing data literacy and understanding the potential pitfalls of charting.
Written by a data journalist, this book emphasizes the importance of both functionality and aesthetics in data visualization. It's a valuable resource for understanding how to create charts that are not only accurate but also engaging for the audience.
A comprehensive guide to technical analysis, this book covers a wide range of tools and techniques for identifying market trends and turning points. It's suitable for those who want to deepen their understanding beyond the basics. The book has been updated through multiple editions.
Based on a popular course, this book provides specific guidance on creating everyday charts for reports and presentations. It focuses on practical application and avoiding common design mistakes, making it highly useful for business professionals.
Builds on the concepts introduced in 'The Functional Art' and focuses on data literacy and the ethical considerations of creating charts. It's highly relevant for understanding how charts can be misleading and how to create trustworthy visualizations.
Introduces ggplot2, a popular R package for data visualization. It covers topics such as data aesthetics, chart types, and statistical modeling.
Provides a comprehensive guide to data visualization using the R programming language. It covers a wide range of chart types, customization options, and statistical techniques.
This handbook offers a comprehensive guide to the process of creating data visualizations, from understanding the data to designing the final chart. It's a practical resource for anyone involved in data-driven design and charting.
Good starting point for those new to technical analysis and financial charting. It introduces the basic concepts and tools used in the field in an accessible manner.
An excellent starting point for beginners in technical analysis, this book covers the basics of charts, indicators, and key concepts. It's a good prerequisite for more in-depth technical analysis books. Schwager provides a clear introduction to the field.
For more information about how these books relate to this course, visit:
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