Category: data-science

Improve your functions with helpful dataframe evaluation patterns.

Using the tidycensus package to access and visualize American Community Survey (ACS) data.

hyswap is an open-source Python package that is designed to enable cooperators, stakeholders and the public to calculate summary hydrologic statistics and create maps, tables and visualizations for critical decision-making. Access the package at https://github.com/DOI-USGS/hyswap .

Iterate your R code using the map() function from the purrr package.

Write functions in R that run better and are easier to understand.

Learn the ropes building your own functions in R using water data examples.

Submit to the river chlorophyll forecasting challenge, co-hosted by the USGS Water Mission Area and Ecological Forecasting Initiative.

Reflections on my time as a data science manager in the U.S. Geological Survey

A pipeline-based approach for making large data pulls from Water Quality Portal

USGS water data science in 2022

Introduction to HASP package for groundwater data.

Large pull for all total nitrogen data for streams in the contiguous United States with sites that have at least 40 measurements between 1995 and 2020.