HoloViz Tutorial

Website

https://holoviz-community.github.io/HoloViz_KDD2022/

Authors

Sophia Yang, Anaconda
Marc Skov Madsen, datamodelsanalytics.com
James A. Bednar, Anaconda
Philipp Rudiger, Anaconda
Jean-Luc Stevens, Anaconda
Maxime Liquet, Anaconda

Abstract

This tutorial will show you how to do visualization and build interactive dashboards using HoloViz, which is an open-source visualization ecosystem comprising seven packages. You will learn how to turn nearly any notebook into a deployable dashboard, how to build visualizations easily even for big, streaming, and multidimensional data, how to build interactive drill-down exploratory tools for your data and models without having to run a web-technology software development project, and finally how to deploy your dashboard.

Outline

Outline	Colab
Overview Python visualization ecosystem Python dashboarding ecosystem Seven packages in HoloViz	Slides
Plotting Basic plotting with `hvplot` Grouping Combine plots Interlinked plots
Big Data Visualization Considerations with big data analytics Big data visualization with `Datashader` and `hvplot`
Dashboard Turn Pandas pipelines into a dashboard using `hvPlot .interactive`
Real Time Dashboard Create streaming dataframe with `streamz` Create databoard with `pn.bind`
Deployment Local deployment Save to .html files Cloud deployment PyScript	Slides

Set up

You can run the tutorials through the links above. To run this tutorial locally, you will need to do the following steps:

Download Anaconda or Miniconda
Git clone this repository and navigate to the folder

git clone git@github.com:holoviz-community/HoloViz_KDD2022.git
cd HoloViz_KDD2022

Create a new Conda enviornment with needed packages and activate this enviornment

conda create --name holoviz -c conda-forge hvplot panel pandas jupyterlab streamz
conda activate holoviz

Start Jupyter Notebook jupyter notebook or Jupyter Lab jupyterlab

References

https://holoviz.org
https://hvplot.holoviz.org
https://datashader.org
https://panel.holoviz.org
Tutorial Easily build interactive plots and apps with hvPlot by Philipp Rudiger and Maxime Liquet
Tutorial Easy Plotting for Streaming Data by James A. Bednar
Blog post Python Dashboarding Ecosystem and Landscape: Plotly Dash, Panel, Voila, and Streamlit by Sophia Yang
Blog post The Easiest Way to Create an Interactive Dashboard in Python Visualization: Turn Pandas pipelines into a dashboard using hvPlot .interactive by Sophia Yang and Marc Skov Madsen
Blog post Big Data Visualization Using Datashader in Python by Sophia Yang