From the course: Data Visualizations with Plotly
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Creating dashboards with Dash - Plotly Tutorial
From the course: Data Visualizations with Plotly
Creating dashboards with Dash
- [Instructor] To bridge the gap from data visualization to a fully fledged analytics app, Plotly has developed something called Dash. On it's surface, Dash looks like a dashboarding framework, but it's especially geared towards deploying data science apps. Dash is certainly a course unto itself, but it's useful for us to explore to see what's possible with Plotly visuals. To begin, you'll need to install Dash via pip. Also, if you plan on developing in a notebook environment, you'll also want to install Jupyter Dash, which will make it possible to develop and host an app from a notebook instance. Now let's look at some of the examples that Plotly has online. You can see these apps span from simple reporting dashboards to complex deployments of machine learning models. This currency dashboard is constantly querying new data and updating live. To get started on our sample dashboard, we import a series of Dash packages…
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