STA5092Z EDA Lecture Content
| Lecture | Material | Possible resources |
|---|---|---|
| 1-2 [html], [slides], [pdf] | R installation, basics, workflows | JB2 |
| Visualizing raw data with ggplot | HW3, RP6 | |
| 3-4 [html], [slides], [pdf] | Managing data frames with dplyr | JB5–7, HW5, RP3 |
| Filter, select, arrange, mutate, summarize | Some from DSFI | |
| 5-6 [html], [slides], [pdf] | EDA checklist | RP4, HW7 |
| Right questions, correlation, missing values, outliers | ||
| 7-8 [html], [slides], [pdf] | Reshaping, tidying, joining dataframes | JB8, JB14–16, HW12–13 |
| tidyr, more dplyr | ||
| 9–10 | Principles of good graphics | JB24–27, RP5, RP14–15 |
| 11–12 | Exploring time series data | JB10–13, HW14–16 |
| 13 | Exploring spatial data | |
| 14 | mapview, leaflet, sf | |
| 15 | Functional programming with R | |
| 16 | Writing functions, purrr | |
| 17 | Visualising data using animations | RP11–12 |
| 18 | gganimate | |
| 19–20 | Version control with Git and GitHub | JB3, some from DSFI |
| 21 | Dashboards | JB42 |
| 22 | flexdashboard, shiny | |
| 23–24 | Dimensionality reduction and Clustering | RP13 |
STA5092Z EDA Lecture Content STA5092Z EDA Lecture Content STA5092Z EDA Lecture Content