https://github.com/aleksandra-kim/gsa-dashboard
This dashboard attempts to combine the motivation behind Global Sensitivity Analysis of Life Cycle Assessment, with necessary computations and visualization of the results -all in one place.
https://github.com/aleksandra-kim/gsa-dashboard
aleksandra-kim life-cycle-assessment nrp-73 sensitivity-analysis uncertainty
Last synced: 8 months ago
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This dashboard attempts to combine the motivation behind Global Sensitivity Analysis of Life Cycle Assessment, with necessary computations and visualization of the results -all in one place.
- Host: GitHub
- URL: https://github.com/aleksandra-kim/gsa-dashboard
- Owner: aleksandra-kim
- License: mit
- Created: 2022-10-14T14:00:43.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-07-27T11:55:30.000Z (about 2 years ago)
- Last Synced: 2025-01-12T18:15:59.321Z (9 months ago)
- Topics: aleksandra-kim, life-cycle-assessment, nrp-73, sensitivity-analysis, uncertainty
- Language: Python
- Homepage:
- Size: 1.42 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.rst
- Changelog: CHANGELOG.rst
- Contributing: CONTRIBUTING.rst
- License: LICENSE.txt
- Authors: AUTHORS.rst
Awesome Lists containing this project
README
.. image:: https://img.shields.io/badge/-PyScaffold-005CA0?logo=pyscaffold
:alt: Project generated with PyScaffold
:target: https://pyscaffold.org/
==============================================================
Global Sensitivity Analysis of Life Cycle Assessment Dashboard
==============================================================
About this app
==============
This dashboard attempts to combine the motivation behind Global Sensitivity Analysis
of Life Cycle Assessment, with necessary computations and visualization of the results -
all in one place.
The dashboard has been implemented with `Dash `_ - framework for
building data apps that was written on top of Plotly.js and React.js. Non enterprise
version of Dash has the `MIT license `_.
Note that the app is not well tested, but it does work on the example Brightway project
"Uncertainties Chaerhan" that you can import using
`dev/import_chaerhan.py `_
Presentation video
==================
`Video `_ submitted for the `Depart de Sentier visualization contest `_.
Visualizations
==============
.. image:: https://raw.githubusercontent.com/aleksandra-kim/gsa_dash/main/gsa_dash/images/mc.png
:width: 100%
:alt: Monte Carlo simulations
.. image:: https://raw.githubusercontent.com/aleksandra-kim/gsa_dash/main/gsa_dash/images/gsa.png
:width: 100%
:alt: Global sensitivity analysis
How to run this app
===================
1. Clone the repository.
2. Open terminal inside the root folder.
3. Create and activate new virtual environment. For example, with ``conda``:
.. code-block:: bash
$ conda create -y -n gsa-dashboard python=3.10
$ conda activate gsa-dashboard
4. Install the packages:
.. code-block:: bash
$ conda install -y -c conda-forge -c cmutel brightway25
$ conda install -y -c conda-forge intel-openmp=2021.4
$ conda install -y -c anaconda scikit-learn
$ conda install -y -c plotly plotly=5.13.0
$ conda install -y -c conda-forge dash dash-bootstrap-components celery
$ pip install "dash[diskcache]"
5. Run the app:
.. code-block:: bash
$ python gsa_dash/app.py
6. View the app by opening ``_ in a browser.
7. Stop the program with ``CTRL+C`` or ``CTRL+Z`` commands.
8. If you run it again, and see the message Port 8050 is in use by another program,
then find the PID of the process and kill it (very elegant, I know):
.. code-block:: bash
$ lsof -i tcp:8050
$ kill -9
.. _pyscaffold-notes:
Note
====
This project has been set up using PyScaffold 4.4. For details and usage
information on PyScaffold see https://pyscaffold.org/.