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  1. Welcome

   1. Introduction.srt

   1.2 Introduction().pdf

  2. Data manipulation with dplyr

   1. Filtering data.srt

   1.2 Module 1 Lecture 1 filter().pdf

   10. Additional dplyr tips.srt

   10.2 Module 1 Lecture 10 tips.pdf

   2. Selecting variables in data.srt

   2.2 Module 1 Lecture 2 select().pdf

   3. Extracting rows in data.srt

   3.2 Module 1 Lecture 3 slice().pdf

   4. Creating new variables from data.srt

   4.2 Module 1 Lecture 4 mutate().pdf

   5. Sorting data.srt

   5.2 Module 1 Lecture 5 arrange().pdf

   6. Grouping variables.srt

   6.2 Module 1 Lecture 6 group_by().pdf

   7. Summarising data.srt

   7.2 Module 1 Lecture 7 summarise().pdf

   8. Magrittr forward pipe (%%).srt

   8.2 Module 1 Lecture 8 magrittr.pdf

   9. Joining or merging several data sets.srt

   9.2 Module 1 Lecture 9 join().pdf

  3. Data re-shaping with tidyr

   1. Introducing tidy data.srt

   2. Gathering variables.mp4

   2.1 Module 2 Lecture 2 gather.pdf

   3. Spreading variables.mp4

   3.1 Module 2 Lecture 3 spread.pdf

   4. Separating values within a cell.mp4

   4.1 Module 2 Lecture 4 separate.pdf

  4. Data visualisation with ggplot2

   1. Principles of a ggplot function call.srt

   1.2 Module 3 Lecture 1 layers within ggplot2().pdf

   2. Creating scatterplots.srt

   2.2 Module 3 Lecture 2 scatterplots().pdf

   3. Creating boxplots.srt

   3.2 Module 3 Lecture 3 boxplots().pdf

   4. Creating barcharts.srt

   4.2 Module 3 Lecture 4 barcharts().pdf

   5. Creating line charts.srt

   5.2 Module 3 Lecture 5 line graphs().pdf

   6. Creating a panel of graphs.srt

   6.2 Module 3 Lecture 6 facets().pdf

   7. Additional ggplot2 tips.srt

   7.2 Module 3 Lecture 7 tips.pdf