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Update format of objectives in intro lesson
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cforgaci authored Jan 22, 2024
1 parent 1b9b03a commit b6516ec
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2 changes: 2 additions & 0 deletions episodes/01-intro-to-r.Rmd
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Expand Up @@ -38,6 +38,8 @@ invisible(lapply(packages, library, character.only = TRUE))

::::::::::::::::::::::::::::::::::::: objectives

After completing this episode, participants should be able to…

- Create self-contained projects in RStudio
- Install additional packages using R code.
- Manage packages
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2 changes: 2 additions & 0 deletions episodes/02-data-structures.Rmd
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Expand Up @@ -13,6 +13,8 @@ exercises: 2

::::::::::::::::::::::::::::::::::::: objectives

After completing this episode, participants should be able to…

- To be aware of the different types of data.
- To begin exploring data frames, and understand how they are related to vectors, factors and lists.
- To be able to ask questions from R about the type, class, and structure of an object.
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2 changes: 2 additions & 0 deletions episodes/03-explore-data.Rmd
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Expand Up @@ -33,6 +33,8 @@ invisible(lapply(packages, library, character.only = TRUE))

::::::::::::::::::::::::::::::::::::: objectives

After completing this episode, participants should be able to…

- Describe what a data frame is.
- Load external data from a .csv file into a data frame.
- Summarize the contents of a data frame.
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2 changes: 2 additions & 0 deletions episodes/04-intro-to-visualisation.Rmd
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Expand Up @@ -36,6 +36,8 @@ gapminder <- read.csv("data/gapminder_data.csv")

::::::::::::::::::::::::::::::::::::: objectives

After completing this episode, participants should be able to…

- Generate plots to visualise data with `ggplot2`.
- Add plot layers to incrementally build a more complex plot.
- Use the `fill` argument for colouring surfaces, and modify colours with the viridis or scale_manual packages.
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