Interactive Visualizations

We have expertise in developing visualizations to communicate complex research data in visually appealing, user-friendly displays using tools such as Shiny and the R packages ggplot2 and plotly.

Relevant projects

Screenshot of the landing page at https://viz.datascience.arizona.edu/gsi-dashboard/

Green Stormwater Infrastructure

We created an interactive dashboard and data wrangling and archiving pipeline for the Campus Living Lab Green Stormwater Infrastructure project.
azmetr logo

AZMet data QA/QC

As a continuation of our Incubator project with Jeremy Weiss, we released a new version of the {azmetr} R package, which facilitates accessing AZMet data and automated QA/QC checks to alert managers to data issues.

AFS Standard Fish App

An interactive tool to visualize trends in fish body size and compare user-generated data with database averages from the American Fisheries Society.
AZMet QA/QC Dashboard

AZMet QA/QC Dashboard

We created a QA/QC dashboard to quickly spot potential errors in weather data collected by AZMet
uace dashboard

Statewide Needs Assessment Dashboard

We created a dashboard to explore the results of the 2022 UA Cooperative Extension Statewide Needs Assessment
voc timeseries

Visualizing high dimension VOC timeseries

Analysis and interactive visualization of volatile organic compound (VOC) time series data.
sankey

Scoping Review Interactive Sankey Diagram

An interactive visualization to facilitate a scoping review of biological feedback literature.
Clostridium difficile CDC

C-Diff Dashboard

An interactive web portal to visualize and download data on C. diff regulatory networks.
soil app screenshot

RainManSR Soil Moisture Dynamics Analysis and Visualization

An interactive visualization for soil moisture data and developed moisture release curves for the RainMan project.
predictive rates

Trends in US Organic Agriculture

We developed a multivariate hierarchical Bayesian regression model that estimates trends by state, handles missing data, and predicts future growth of organic farming in the US from USDA survey data.

Team members