[15] Data Visualization with Plotly in Python (Emma Gouillart)

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Emily Gouillart: Data Visualization with Plotly

## Key Links

## Agenda
00:00 Reshama introduces Data Umbrella
03:33 Emma begins talk
04:50 What is Plotly?
06:19 Talk Agenda
07:05 Use cases of Plotly: Interactive exploration of data
07:30 The structure of Plotly figures
13:15 Introduction to Plotly express
21:01 Example of hierarchical plots
24:03 Subplots in Plotly
26:23 Plotly documentation
27:13 Use cases of Plotly: Publishing visualizations and building interactive applications
31:40 Interactive visualizations with Dash
34:45 Use cases of Plotly: Interactive image annotation and processing
34:55 Image processing
37:05 Example of interactive image processing
43:33 Image annotations - shape annotations
44:35 Advanced Dash app using Plotly-shape annotations
46:58 Q&A with Emma
58:26 Closing thoughts

## Event

Plotly is an interactive web-based visualization library. It is written in Javascript, but is mostly used from its Python API (and it also has an R and a Julia API). plotly has a large variety of traces and is highly customizable. In addition to the low-level API, a higher-level API for dataframe-like data makes it possible to create complex plots as one-liners. My talk will present the plotly library and how to use it for data science projects. I will finish the talk by presenting annotation and drawing tools within plotly figures, which we have developed in particular for image processing tasks.

## About the Speaker

#python #dashboard #datavisualization