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Oct 18, 2024
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ENV 332 Visualizing Environmental Data in R (3 credits)Hours: 3 classroom + 0 lab/studio Prerequisite(s): Sophomore standing or permission of instructor. Taught: Spring only-even years In this course students will analyze and visualize environmental, ecological and geospatial data using R programming tools and skills. This course is designed as workshop style with extensive hands-on practices starting from the basic syntax to advanced skills including data management, visualization and analysis of spatial data. Repeatable: No
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