May 1, 2024
3 minute read
Dash is an open-source Python framework used for building analytical web applications. Dash allows users to create interactive data visualizations and dashboards quickly and easily. It is built on top of Plotly.js, a popular JavaScript library for creating interactive charts and graphs. Dash is widely used in data science, machine learning, and data analytics to create interactive visualizations and dashboards for data exploration, analysis, and presentation.
Dash is particularly well-suited for building applications that require real-time data updates and user interactions. It enables developers to create interactive dashboards that allow users to filter, sort, and interact with data in real-time. This makes Dash a powerful tool for building data-driven applications that can provide insights and drive decision-making.
Why Learn Dash
There are several reasons why you might want to learn Dash:
4li5ag|
Find a path to becoming a Dash. Learn more at:
OpenCourser.com/topic/4li5ag/das
Reading list
We've selected six 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
Dash.
Comprehensive guide to creating interactive data visualizations with R, plotly, and Shiny. It covers a wide range of topics, from basic concepts to advanced techniques, and includes many code examples.
Comprehensive guide to data visualization with Python and JavaScript. It covers a wide range of topics, from basic concepts to advanced techniques, and includes many code examples.
Classic guide to data visualization. It covers the principles of effective data visualization and provides guidance on how to choose the right chart for every situation.
Classic work on data visualization. It covers the principles of good data visualization and provides many examples of excellent data visualizations.
Practical guide to data visualization for data analysts and business professionals. It covers a wide range of topics, from basic concepts to advanced techniques, and includes many code examples.
Guide to creating interactive data visualizations for the web. It covers a wide range of topics, from basic concepts to advanced techniques, and includes many code examples.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/4li5ag/das
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