Week 14
Dashboarding with Panel and the Holoviz Ecosystem

Final Project

The final deliverable must include all three of the below items:

1. a web-based data visualization with a URL (public or private)
2. a document describing the project, the results, and the technical methods used in each step (collection, analysis and visualization)
3. all code/spreadsheets/datasets used

The materials for steps #2 an #3 above should be submitted to your own specific GitHub repository, which can be created using the link below:

https://classroom.github.com/g/cQQU9eCr

Important

• The code for your web-based visualization (#1) can be either in the same repository or in a separate public repository. If it is in its own repository, be sure to link to it from the main, submission repository.
• Be sure to include the names of everyone who worked on the final project somewhere in the README, etc!

Office Hours

Office hours next week during the regular class slot: Thursday Dec 12 from 5 to 8pm

Dashboard Examples

We'll walk through two examples of Panel dashboards that can serve as a reference for the final project.

1. Visualizing recent shootings in Philadelphia using Altair, Folium, and Holoviews
2. Visualizing NYC taxi trips with Datashader and Altair

Summary of Web-based Options

• Web visualization options
• Deployment options

References

• Panel
  • Documentation
  • User Guide
  • Reference Gallery
    • Includes examples of different types of Panels, e.g., HTML, Markdown, Vega, etc
  • Example dashboards from the PyViz team
• Datashader dashboard tutorial
  • Including a detailed walk-through of a Datashader-based dashboard
• Holoviews Reference Gallery
  • Streams
  • DynamicMap
• Introduction to Python classes
• Heroku
  • First, signup for a Heroku free account
  • Download and install the command line interface (CLI).
  • See the "Heroku Example" for Dash: https://dash.plot.ly/deployment
  • See the example instructions for deploying the Philadelphia Shootings App on Heroku