From the course: Data Visualizations with Plotly

Unlock the full course today

Join today to access over 22,600 courses taught by industry experts or purchase this course individually.

Creating dashboards with Dash

Creating dashboards with Dash - Plotly Tutorial

From the course: Data Visualizations with Plotly

Start my 1-month free trial

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…

Contents