The PEcAn Status Board is a dashboard that monitors the Predictive Ecosystem Analyzer (PEcAn) system and checks whether sites, models, met are working or not using different forms of visualizations.
- The dashboard uses the PEcAn API for getting the results from the server
- It runs an automatic test of the system at 06:05 UTC using GitHub Actions
- The status board has the visualizations which represents the total success percentage of Sites, Models and Mets.
The PEcan Status Board can be installed locally from GitHub with:
# install.packages("devtools")
devtools::install_github("PecanProject/pecan-status-board")library("statusboard")# Run this code to start the dashboard locally
statusboard::run_app()
Data Visualization refers to the graphical representation of information and data in the form of a graph, or chart, or bar, or any other format. The purpose of Data Visualization is to convey information and results quickly and easily.
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Bar Chart: Bar graphs are visual representations of data in the shape of vertical or horizontal rectangular bars, with bar length proportional to data measure.
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Scatter Plot: Scatter plot is a type of chart used to display and observe the relationship between variables where dots indicate the values of variables.
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Pie Chart: Pie Chart represents the data in the circular graph where the relative size of data is displayed in the form of slices.
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Heatmap: Heatmaps are also a form of graphical representation that uses color-coding to represent different values.
The PEcAn Status board currently has three different tabs, which help monitor the PEcAn system more efficiently and quickly.
The dashboard tab has the visualization of models, sites, Mets, and their success percentage, which represents ṭhe total success of every single Model, Sites, and Mets.
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Scatter Plot: The scatter plot shows which sites and models are running perfectly. The green dots represent the successful tests, the red dots represents all the failed tests on that particular model and site, and the brown dot appears when there are both successful and failed tests on the same sites and models with different input.
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Bar Plot: The bar graphs in the dashboard tab represent the total success percentages of each Models, Sites and Mets using the final status generated by the test run.
The test tab is designed to check the report generated after the test run. The first data table represents the short summary of the last run, and it shows if everything is working or not in the system.
The report tab has two different sections, one for the weekly status of the test run and the second for checking the details of the workflows.
- Weekly Status: The weekly status section has the details of the run for a week, It has pie charts which show the counts of total success & failures of the test, and a data table for checking the time difference and status of the tests.
- Workflow Status: The workflow status section is designed to keep a track of the workflows using heatmaps and data tables. The data table displays the time difference of the stages & the details of Models, Sites, and Mets of the workflows.
Distributed under the NCSA Open Source License. See LICENSE for more information.
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