This workshop will be appropriate for attendees who answer yes to these questions:
Are you an Excel user who wants to expand your data analysis toolset with R?
Do you want to bridge analyses between Excel and R, whether working independently or to more easily collaborate with others who use Excel or R?
Are you new to data analysis, and looking for a good place to get started?
[ADD YOUR ABSTRACT HERE USING MARKDOWN]
Excel is a widely used and powerful tool for working with data. As automation, reproducibility, collaboration, and frequent reporting become increasingly expected in data analysis, a good option for Excel users is to extend their workflows with R. Integrating R into data analysis with Excel can bridge the technical gap between collaborators using either software. R enables use of existing tools built for specific tasks and overcomes some limitations that arise when working with large datasets or repeated analyses.
This course is for Excel users who want to add or integrate R and RStudio into their existing data analysis toolkit. Participants will get hands-on experience working with data across R, Excel, and Google Sheets, focusing on: data import and export, basic wrangling, visualization, and reporting with RMarkdown. Throughout, we will emphasize conventions and best practices for working reproducibly and collaboratively with data, including naming conventions, documentation, organization, all while “keeping the raw data raw”. Whether you are working in Excel and want to get started in R, already working in R and want tools for working more seamlessly with collaborators who use Excel, or whether you are new to data analysis entirely, this is the course for you!
[ADD YOUR LEARNING OBJECTIVES HERE USING MARKDOWN]
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