Dashboard Design

Interactive visualization and visual analytics tools are used to find insights and knowledge in data. Dashboards are an easy way to get an interactive visualization tool running, typically implemented as webpages that can run in a web browser and are accessible online. This book discusses ways to design and implement dashboards based on Python, Plotly, and Dash, with examples and Python code.

Format: Hardback
Length: 200 pages
Publication date: 01 October 2023
Publisher: River Publishers

Interactive visualization and visual analytics tools have been a focal point of innovation and development in recent years, with a promising future ahead. These tools have been designed to extract insights and knowledge from data, spanning various application domains where data is measured, generated, and recorded. By leveraging the power of visual representation, interactive visualization tools offer a unique way for humans to interact with and explore data, enabling them to identify patterns, trends, and correlations that may be difficult to discern through traditional means.

In each application domain, there exists a potential candidate for an interactive visualization tool, aimed at uncovering valuable information and knowledge hidden within the data. This knowledge can be discovered through both human interventions and algorithmic processes, with the ideal scenario involving a combination of both concepts, known as visual analytics. One of the most straightforward methods to deploy an interactive visualization tool is through the use of dashboards, typically implemented as webpages that can be accessed online through a web browser. These dashboards provide a centralized platform for presenting data in a visually appealing and intuitive manner, enabling users to interact with the information in real-time.

This book serves as a comprehensive guide for designing and implementing dashboards based on the programming language Python, the graphics library Plotly, and the dashboard framework Dash. It provides readers with a solid foundation upon which they can build their own interactive visualization tools. The book covers a wide range of technical topics, including design principles in visualization, interaction principles in information visualization, user interface design, linking Python, Dash, and Plotly, and coding in Python. Additionally, the book includes numerous dashboard examples accompanied by Python code, allowing readers to apply the concepts learned in a practical context.

By leveraging the power of interactive visualization and visual analytics, organizations can gain a deeper understanding of their data, make informed decisions, and drive innovation in their respective industries. Whether it's in the field of finance, healthcare, marketing, or any other domain, these tools offer a powerful means to communicate complex information in a visually appealing and accessible manner, enabling users to make data-driven insights and take action. As the field of data visualization and analytics continues to evolve, it is clear that interactive visualization and visual analytics tools will play an increasingly important role in shaping the future of data-driven decision-making.

Dimension: 234 x 156 (mm)
ISBN-13: 9788770040044