St. Louis River Summit Data Workshop

This is a custom curriculum which uses data from the Lake Superior National Estuarine Research Reserve to teach data visualization with ggplot2. This lesson was developed by Augustus Pendleton, but draws on material adapted from lessons by the University of Michigan Carpentries. While it is based on The Carpentries curriculum and teaching practices, it is not officially overseen by The Carpentries organization. We welcome any feedback or questions to us through GitHub.

The curriculum is developed for complete beginners interested in learning reproducible data science techniques and data visualization. For more details, please see Introduction to the Workshop.

This lesson is a subset of a larger, two-day workshop which includes data cleaning, RMarkdown, and basic statistics. We encourage learners who enjoyed this lesson to view these additional lessons here.

Schedule

	Setup	Download files required for the lesson
00:00	1. Introduction to the Workshop	What will the workshop cover? What else do I need to know about the workshop?
00:15	2. R for Plotting	What are R and R Studio? How do I write code in R? What is the tidyverse? How do I read data into R? What are geometries and aesthetics? How can I use R to create and save professional data visualizations?
03:05	3. Conclusion	What do I do after the workshop to apply what I learned and keep learning more? Where can I learn more coding skills? How do I deal with coding errors (i.e. debug)? What other coding resources do we have at Cornell? What other coding concepts should I learn?
03:20	Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.