Fundamentals of plotly and dash for interactive data visualization

sure! here is an informative tutorial about the fundamentals of plotly and dash for interactive data visualization:

### plotly:
plotly is a python graphing library that makes interactive, publication-quality graphs online. it can create a wide variety of interactive plots and data visualizations, including line plots, scatter plots, bar charts, and 3d plots.

#### key features of plotly:
1. easy-to-use syntax for creating interactive plots.
2. supports a wide range of plot types and customization options.
3. allows for easy integration with web applications.

#### example code for creating a basic line plot using plotly:

### dash:
dash is a python web application framework for building interactive web applications with plotly visualizations. it allows you to create interactive web-based dashboards, data visualization tools, and more, all using python.

#### key features of dash:
1. easy-to-use framework for building web applications with python.
2. integrated with plotly for creating interactive visualizations.
3. supports interactive components like sliders, dropdowns, and input fields.

#### example code for creating a basic dash web application with interactive components:

### summary:
- plotly is a python graphing library for creating interactive plots.
- dash is a python web application framework for building interactive web applications with plotly visualizations.
- by combining plotly and dash, you can create powerful and interactive data visualization tools in python.

i hope this tutorial helps you get started with plotly and dash for interactive data visualization! let me know if you have any questions.

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