The text comprehensively discusses the representation of visual data and design principles of interactive and dynamic dashboards. It further covers the theoretical concept of inference and Machine Learning algorithms for making the concepts clear to the reader. The book illustrates important topics such as data testing a parametric hypothesis, data testing a non-parametric hypothesis, exploratory data analysis, outlier detection and interpretation. A dynamic interactive dashboard is a vital resource in a variety of fields, such as business, finance, healthcare, and education, since it enables users to interact with data in real–time. With the ability to update data in real–time or on a regular basis, dynamic interactive dashboards guarantee that users always have access to the most recent information. A well–liked Python framework called Plotly Dash was created especially for creating interactive dashboards and data visualizations that are accessible online. It makes use of Plotly.js’s capabilities to produce aesthetically pleasing graphs and charts with a great degree of customization and interactivity. Tableau, a top platform for business intelligence and data visualization, users can build interactive dashboards with a variety of analytics and visualization options. With the help of the well–known data visualization tool Tableau, users can create dynamic, informative dashboards and reports from their data.

Interactive and Dynamic Dashboard PDF

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