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Parameterized Quarto Reports Improve Understanding of Soil Health

Slides

Wed, September 20, 2023

posit::conf(2023)

Jadey Ryan, Data Scientist, WA Dept. of Agriculture

Abstract

Soil sampling data are notoriously challenging to tidy and effectively communicate to farmers. We used functional programming with the tidyverse to reproducibly streamline data cleaning and summarization. To improve project outreach, we developed a Quarto project to dynamically create interactive HTML reports and printable PDFs. Custom to every farmer, reports include project goals, measured parameter descriptions, summary statistics, maps, tables, and graphs.

Our case study presents a workflow for data preparation and parameterized reporting, with best practices for effective data visualization, interpretation, and accessibility.

See an example HTML report.

Bio

Jadey is a self-taught R user working at the intersections of environmental sciences, agriculture, state government, and data science. She supports two statewide agriculture-focused soil and climate programs by collecting and processing data, managing the soil health database, and developing visualization and reporting tools. She is passionate about creating data products that contribute sound science to inform decision making that balances environmental quality and agricultural production.

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Parameterized Quarto Reports Improve Understanding of Soil Health presented at posit::conf(2023)

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