Course Schedule

This page displays an outline of the topics, content, and assignments for the term. Each module starts on a Wednesday. Note that all of your coding and project assignments are due on the Monday after they are assigned at 11:59 p.m.

Module	Date	Skills	Packages	Functions	Readings	Reference	Slides	Videos	Assignments
	Aug 23	Course Intro
GS	Aug 28	RStudio and Quarto				📖	🖥️	🖥️
	Aug 30	More with Quarto				📖	🖥️	🖥️🖥️
1.1	Sep 4	Read data into R	`readr`, `dplyr`	`read_csv()`, `glimpse()`		📖	🖥️	🖥️🖥️
	Sep 6	Reshape, clean data	`tidyr, dplyr`	`pivot_longer(), mutate()`, `mutate_at()`, `substring()`		📖	🖥️	🖥️🖥️🖥️
1.2	Sep 11	Download data	`wbstats`, `vdemdata`, `dplyr`, `janitor`	`wb_data()`, `vdem`, `select_()`, `filter()`, `case_match()`, `round_to_fraction()`	📖		🖥️	🖥️🖥️
	Sep 13	Merge data frames, group, summarize and arrange	`countrycode`, `dplyr` , `readr`	`countrycode()`, `left_join()`, `write_csv()`, `group_by()`, `summarize()`, `arrange()`		📖 📖	🖥️	🖥️🖥️🖥️	🧮
2.1	Sep 18	Bar charts & histograms	`ggplot2`	`ggplot()`, `geom_col()`, `geom_histogram()`, `aes()`, `labs()`		📖📖	🖥️	🖥️🖥️
	Sep 27	Line charts & scatter plots	`ggplot2`, `scales`	`geom_line()` , `geom_point()`, `geom_smooth()`, `scale_x_log10(),` `label_number()`, `geom_text()`		📖	🖥️	🖥️🖥️
2.2	Sep 25	Color schemes	`tidyr`, `colorBlindess`, `dplyr`, `viridis`, `RColorBrewer`	`drop_na()`, `cvdPlot()`, `scale_fill_manual()`, `scale_fill_viridis_d()`, `scale_fill_brewer()`, `scale_color_manual()`, `scale_color_viridis_d()`, `scale_color_brewer`	📖	📖	🖥️	🖥️
	Sep 27	Themes, annotations & interactivity	`ggplot2` , `plotly`	`theme_dark()`, `theme_minimal()`, `annotate()`, `geom_hline()`, geom_vline(),``ggplotly(), `layout()`		📖	🖥️	🖥️🖥️🖥️	🧮
3.1	Oct 2	Map data with choropleth maps	`rnaturalearth`, `ggplot2`, `ggthemes` , `virids`	`ne_countries()`, `geom_sf()`, `theme_map()` , `theme()` , `scale_fill_viridis_c()`			🖥️	🖥️🖥️
	Oct 4	Turn your map into a function		`souce()`, `function()`	📖	📖	🖥️	🖥️
3.2	Oct 9	Make a leaflet map	`states`, `sf` , `leaflet,` `htmltools`	`leaflet()`, `st_as_sf()` , `addTiles()`, `addMarkers()`,`addProviderTiles()`			🖥️	🖥️🖥️🖥️	🧮
	Oct 11	No class, fall break		🍁🍂🎃
4.1	Oct 16	Exploring tabular data	`tidycensus`, `dplyr`, `stringr`, `kableExtra`	`census_api_key()`, `load_variables()`, `get_acs()`, `rename()`, `rename_with`, `str_remove()`, `kable()`, `slice_max()`, `slice_min()`, `slice_sample()`, `bind_rows()`			🖥️	🖥️🖥️
	Oct 18	Make a `gt` table, make confidence intervals with ggplot2	`gt` , `ggplot2`	`gt()`, `tab_header()`, `cols_label()`, `fmt_currency()`, `tab_source_note()`, `cols_width()`, `opt_table_font()`, `cols_align()`, `tab_options()`, `gtsave()` , `geom_errorbar()`			🖥️	🖥️🖥️
4.2	Oct 23	Display regression tables	`peacesciencer`, `broom`, `dplyr`	`create_stateyears()`, `add_ucdp_acd()`, `add_democracy()`, `add_creg_fractionalization()`, `add_sdp_gdp()`, `add_rugged_terrain()`, `tidy()`, `mutate_if()`, `glm()`, `binomial()`	📖		🖥️	🖥️
	Oct 25	Make regression tables and coefficient plots	`modelsummary`	`list()`, `modelsummary()`, `modelplot()`, `rev()`				🖥️🖥️	🧮
5.1	Oct 30	Scatter plot app setup, building the UI	`dplyr` , `shiny`	`summarize_all()`, `fluidPage()`, `titlePanel()`, `sidebarLayout()`, `sidebarPanel()`, `selectInput()`, `mainPanel()`, `plotOutput()`			🖥️	🖥️🖥️
	Nov 1	Building the server	`shiny`	`renderPlot()`, `shinyApp()`			🖥️	🖥️	✍️
5.2	Nov 6	Line chart app setup, building the UI	`fredr` , `shiny`	`fredr_set_key()` , `as.Date()` , `Sys.Date()` , `column()`, `wellPanel()`, `helpText()`, `sliderInput()`	📖		🖥️	🖥️🖥️
	Nov 8	Building the server	`fredr` , `shiny`	`reactive()`, `fredr()`, `fred_indicator()`			🖥️	🖥️	🧮
6.1	Nov 13	Building your app					🖥️	🖥️
	Nov 15	Troubleshooting your app					🖥️		✍️
6.2	Nov 20	Sharing your app						🖥️
	Nov 22	Shinylive
	Nov 27	No class, Thanksgiving break		🦃🥧🍂
	Nov 29	No class, Thanksgiving break
	Dec 4	Lightning talks
	Dec 6	Lightning talks							✍️