Automated Dashboard Update

Last updated: Mar 31, 2025, 5:01:47 AM

Table of Contents

Notebooks 📖

• PCA Index Interactive Visualization Examples
• PCA Index Dashboard Examples

Pipeline Charts 📈

• Chart List

• Chart: Unnormalized Series

• Chart: Principal Component 1 Line Plot

• Chart: Normalized Series

Pipeline Dataframes 📊

• Dataframe: DASH_normalized_series - Normalized Series
• Dataframe: DASH_pc1 - Principal Component 1

Appendix 💡

• MyST Markdown Demos
• API Reference

Pipeline Specs

Pipeline Name	Automated Dashboard Update
Pipeline ID	DASH
Lead Pipeline Developer	Jeremiah Bejarano
Contributors	Jeremiah Bejarano
Bitbucket Repo URL	jmbejara/example-updating-dashboard
Pipeline Web Page	https://github.com/jmbejara/example-updating-dashboard
Date of Last Code Update	2025-03-31 05:01:44
Runs on Linux, Windows, Both, or Other?	Windows/Linux/MacOS
Linked Dataframes	DASH_normalized_series DASH_pc1

In addition to the requirements.txt and r_requirements.txt, the pipeline code relies on first loading modules using the following command:

module load anaconda3/3.11.4

About this project

This example uses GitHub Actions to automatically update a dashboard. The dashboard consists of a Sphinx site that is published to GitHub Pages. The Sphinx site is generated using a custom tool called ChartBook: jmbejara/chartbook

Quick Start

To quickest way to run code in this repo is to use the following steps. First, note that you must have TexLive installed on your computer and available in your path. You can do this by downloading and installing it from here (windows and mac installers). Having installed LaTeX, open a terminal and navigate to the root directory of the project and create a conda environment using the following command:

conda create -n blank python=3.12
conda activate blank

and then install the dependencies with pip

pip install -r requirements.txt

You can then navigate to the src directory and then run

doit