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sprints-dashboard

Data Umbrella Open Source Sprints Dashboard

Prep work: https://github.com/Vancouver-Datajam/dashboard-workshop-dash#setup-prep

Starting

The layouts for the dashboard were cloned from:
https://github.com/Vancouver-Datajam/dashboard-workshop-dash

Conda virtual environment instructions

Clone the dashboards repo

git clone https://github.com/Vancouver-Datajam/dashboard-workshop-dash.git
cd dashboard-workshop-dash/

Set up virtual environment using conda

requirements.txt

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# create virtual environment with name "plotlyenv"
conda create -n plotlyenv python=3.9

# activate the virtual environment
conda activate plotlyenv

# install the dependencies
pip install --upgrade pip setuptools wheel
pip install -r requirements.txt

Initial graphs were done in Jupyter

cd notebooks
jupyter notebook

Use VSCode for development work

(plotlydash) 
my_repos/data-umbrella-projects/data-umbrella-sprints-dashboard  main ✗                               22m ⚑  
▶ 
my_repos/data-umbrella-projects/data-umbrella-sprints-dashboard  try_tab2 ✔                              2m  
▶ cd scripts
(plotlydash) 
data-umbrella-projects/data-umbrella-sprints-dashboard/scripts  try_tab2 ✔                               2m  
▶ ls
README.md                 app_1_pie_afme_example.py app_4_try_map_afme.py     old_examples
__init.py__               app_2_bar_afme_example.py app_ter_help.py
app.py                    app_3_funnel_afme.py      app_try_tabs.py
(plotlydash) 
data-umbrella-projects/data-umbrella-sprints-dashboard/scripts  try_tab2 ✔                               2m  
▶ python app.py
Dash is running on http://127.0.0.1:8050/

 * Serving Flask app 'app' (lazy loading)
 * Environment: production
   WARNING: This is a development server. Do not use it in a production deployment.
   Use a production WSGI server instead.
 * Debug mode: on

Testing App

http://127.0.0.1:8050/

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