I've written some mockups below - would any of these work?
Elise is a graduate student studying population genetics. She is working with population data collected over several decades and needs to generate figures to summarize the data and visualize trends over time. She has taken a handful of classes and workshops introducing her to Python and R, but she doesn't feel confident and wants a refresher. She is interested in learning to use the ggplot2 package to help her make figures and customize them for her needs.
Luke works for a state government agency and has been assigned to work on a project cleaning up health records and surveys and turning them into quantifiable data. He wants to learn how to read different types of data files into RStudio and what commands he can use to modify the data. He has some experience with other programming languages and file formats, and wants to learn how to use R like the rest of his team to standardize their approach and output.
Jamie is an undergraduate student with no coding experience. They are interested in joining a genetics research lab at their university that does statistical analysis using R. Their prospective advisor has asked them to start becoming familiar with R and its capabilities so they can prepare to shadow current students in the lab as they conduct their analyses. Jamie is also eager to learn the basics so they can decide whether they want to take a full course on programming next semester.
Which part of the content does your suggestion apply to?
How could the content be improved?
This is an issue on multiple (if not all) Carpentries lessons - the "Learner Profiles" tab at the top links to a page with no content. @bencomp provided some excellent resources in a thread about the same problem in the social sciences equivalent (https://github.com/datacarpentry/openrefine-socialsci/issues/151). And specifically, this link was shared with examples of learner profiles: https://carpentries-incubator.github.io/docker-introduction/guide/index.html#learner-profiles
I've written some mockups below - would any of these work?
Elise is a graduate student studying population genetics. She is working with population data collected over several decades and needs to generate figures to summarize the data and visualize trends over time. She has taken a handful of classes and workshops introducing her to Python and R, but she doesn't feel confident and wants a refresher. She is interested in learning to use the ggplot2 package to help her make figures and customize them for her needs.
Luke works for a state government agency and has been assigned to work on a project cleaning up health records and surveys and turning them into quantifiable data. He wants to learn how to read different types of data files into RStudio and what commands he can use to modify the data. He has some experience with other programming languages and file formats, and wants to learn how to use R like the rest of his team to standardize their approach and output.
Jamie is an undergraduate student with no coding experience. They are interested in joining a genetics research lab at their university that does statistical analysis using R. Their prospective advisor has asked them to start becoming familiar with R and its capabilities so they can prepare to shadow current students in the lab as they conduct their analyses. Jamie is also eager to learn the basics so they can decide whether they want to take a full course on programming next semester.
Which part of the content does your suggestion apply to?
https://datacarpentry.org/R-ecology-lesson/profiles.html