Welcome to the AirSensor DataViewer repository!
AirSensor DataViewer provides an interface web application for visualizing time series PurpleAir air sensor data. The package is an extension of the AirSensor R package with support by Mazama Science and the South Coast Air Quality Management District.
There are a couple of ways to launch and use AirSensor DataViewer - either through R itself, interactively, or hosted with a ready-to-serve docker image for server use, which can be created using this guide.
To install and test from RStudio.
install.packages(“remotes”)
remotes::install_github(“MazamaScience/AirSensorDataViewer”)
AirSensorDataViewer::run_app()
Yup, thats it.
To create the docker image, navigate to the project root directory and use make
to build the docker image. The docker image should contain all necessary
libraries and dependencies, as well as being preconfigured for shiny-server.
Create docker image :
make airsensordataviewer_build
Run desktop client:
make desktop_build
make desktop_up
By default, the desktop_* version will be available at localhost:8080/asdv/test.
To shut the close and exit the docker image:
make desktop_down
You can check the logs on the running docker container with:
docker exec -ti airsensor-dataviewer-desktop /bin/bash
...
cd /var/log/shiny-server/
ls
AirSensor DataViewer is built with Shiny utilizing {golem} framework. The AirSensor and tiotemp R packages for data processing and visualization.