Data Wrangling

Whether it's a workflow that happens just once, or an automated data pipeline running continuously in the cloud, our team can help gather, clean, re-shape, and combine data from multiple sources to achieve research goals.

Projects that utilize Data Wrangling

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.
A conceptual graphic of the proposed data analysis pipeline. Each step is represented by a stack of maps of the continental US. The top reads: "For each year, 1981-2023; geographic extent of all maps: NE US". Then, from left to right: "Inputs: Daily mean temperature (source: PRISM)", "Intermediat products: DOY maps for GDD thresholds", "Output: Mean DOY for each threshold, 1991-2020". Pointing downward from the intermediate products is an arrow labeled "Calculation of trends and variation for each thres

Estimating Trends in Phenology

In collaboration with the National Phenology Network, we are creating an analytical pipeline to estimate spatial trends in the time to reach different thresholds of growing degree days in the Northeastern USA.
A map of Arizona where the standard deviation in AGB is represented by color. There is high standard deviation in areas that roughly correspond to mountain ranges and low standard deviation in lower elevations.

Estimating Uncertainty in Carbon Stores

We are working with David More and Yang Li of the School of Natural Resources & the Environment to build an analytical pipeline characterizing uncertainty in estimates of above-ground biomass, to help stakeholders make informed decisions about which data products to use for their needs.
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
voc timeseries

Visualizing high dimension VOC timeseries

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

RangeDocs

Automated categorization of rangeland science publications using natural language processing to help rangeland managers find the information they want.
greenhouse

RainManSR Open Data Makeover

We coached the RainMan team on best practices in data management and reproducible research.
ARDN diagram

Agricultural Research Data Network

We joined a cross-institutional collaboration to convert pre-existing agricultural datasets to a standardized format and create an Agricultural Research Data Network, to improve the findability and resuability of agricultural data.
screenshot

SPARC'd

Improved data sharing and search features for the SPARC’d application that manages data from trail cams used to monitor endangered wildcats and other wildlife.

Team Members that specialize in Data Wrangling