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.
lqsl4s|
Find a path to becoming a Charting. Learn more at:
OpenCourser.com/topic/lqsl4s/chartin
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.
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.
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.
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.
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.
Provides practical tips and tutorials for creating data visualizations, with a focus on using programming languages like R, Python, and JavaScript. It's a good resource for those who want to move beyond basic charting tools and create custom visualizations.
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.
Introduces ggplot2, a popular R package for data visualization. It covers topics such as data aesthetics, chart types, and statistical modeling.
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.
Provides a guide to creating better data visualizations specifically for academic and research purposes. It offers practical advice and examples for effectively communicating complex data to a specialized audience.
Another practical book by Nathan Yau that focuses on the principles of creating meaningful data visualizations. It covers various chart types and how to use them effectively to convey insights. It's accessible and provides useful tips for creating impactful charts.
Is specifically for users of Microsoft Power BI and focuses on designing effective dashboards within that software. It's highly relevant for those using Power BI for business intelligence and reporting.
Explores how visual thinking can be applied to design problems, including the design of visualizations. It's valuable for understanding the cognitive processes involved in creating and interpreting visual information. It complements Ware's other book and adds a deeper theoretical perspective on visual design.
Offers a critical perspective on data science and visualization, informed by intersectional feminist thought. It explores how power structures and biases can be embedded in data and how visualization can perpetuate or challenge these. It's important for a contemporary and ethical understanding of charting.
This comprehensive guide covers the fundamentals of data visualization, including chart types, design principles, and best practices. It is suitable for beginners and provides a solid foundation for understanding the topic.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/lqsl4s/chartin
Save
