Course Schedule

This page displays an outline of the topics, content, and assignments for the term. Each module starts on a Monday. There are no assignments due on Sundays.

Module	Date	Skills	Packages	Functions	Readings	Videos	Assignments
GS	May 17	R, RStudio, GitHub				📖 📖 📖
1.1	May 18	Read data into R	`readr`, `dplyr`	`read_csv()`, `glimpse()`	📖	🖥️
	May 19	Reshape data	`tidyr`	`pivot_longer()`	📖	🖥️
	May 20	Clean data	`dplyr`	`mutate()`, `mutate_at()`, `substring()`		🖥️	📘
1.2	May 21	Download data from an API	`wbstats`, `vdemdata`, `dplyr`, `janitor`	`wb_data()`, `vdem`, `select_()`, `filter()`, `case_match()`, `round_to_fraction()`		🖥️ 🖥️
	May 22	Merge data frames	`countrycode`, `dplyr` , `readr`	`countrycode()`, `left_join()`, `write_csv()`	📖	🖥️
	May 23	Group, summarize and arrange	`dplyr`	`group_by()`, `summarize()`, `arrange()`	📖 📖	🖥️	📘 🧮
2.1	May 25	Bar charts & histograms	`ggplot2`	`ggplot()`, `geom_col()`, `geom_histogram()`, `aes()`, `labs()`	📖📖	🖥️ 🖥️
	May 26	Line charts	`ggplot2`	`geom_line()`		🖥️
	May 27	Scatter plots	`ggplot2`, `scales`	`geom_point()`, `geom_smooth()`, `scale_x_log10(),` `label_number()`, `geom_text()`	📖	🖥️	📘
2.2	May 28	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`	📖	🖥️
	May 29	Themes & annotations	`ggplot2`	`theme_dark()`, `theme_minimal()`, `annotate()`, `geom_hline()`, `geom_vline()`	📖	🖥️ 🖥️
	May 30	Interactivity	`plotly`	`ggplotly()`, `layout()`	📖	🖥️	📘 🧮
3.1	Jun 1	Choropleth maps	`rnaturalearth`, `ggplot2`, `ggthemes`	`ne_countries()`, `geom_sf()`, `theme_map()`		🖥️
	Jun 2	Map data	`ggplot2`, `viridis`	`theme()`, `scale_fill_viridis_c()`		🖥️
	Jun 3	Make a map function		`eval()`, `parse()`, `function()`, `source()`		🖥️	📘
3 .2	Jun 4	Upload UCDP data	`states`, `sf`	`sfind()`, `st_as_sf()`		🖥️
	Jun 5	Make a leaflet map	`leaflet`	`leaflet()`, `addTiles()`, `addMarkers()`, `setView()`		🖥️
	Jun 6	Customize your map	`leaflet`, `htmltools`	`awesomeIcons()`, `addAwesomeMarkers(),` `addProviderTiles()`, `sprintf()`, `lapply()`, `HTML`	📖	🖥️	📘 🧮
4.1	Jun 8	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()`		🖥️ 🖥️
	Jun 9	Make a `gt` table	`gt`	`gt()`, `tab_header()`, `cols_label()`, `fmt_currency()`, `tab_source_note()`, `cols_width()`, `opt_table_font()`, `cols_align()`, `tab_options()`, `gtsave()`		🖥️
	Jun 10	Confidence intervals	`ggplot2`	`geom_errorbar()`		🖥️	📘
4.2	Jun 11	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()`		🖥️
	Jun 12	Make regression tables	`modelsummary`	`list()`, `modelsummary()`		🖥️	✍️
	Jun 13	Coefficient plots	`modelsummary`	`modelplot()`, `rev()`	📖	🖥️	📘 🧮
5.1	Jun 15	Scatter plot app setup	`dplyr`	`summarize_all()`		🖥️
	Jun 16	Building the UI	`shiny`	`fluidPage()`, `titlePanel()`, `sidebarLayout()`, `sidebarPanel()`, `selectInput()`, `mainPanel()`, `plotOutput()`		🖥️
	Jun 17	Building the server	`shiny`	`renderPlot()`, `shinyApp()`		🖥️	📘
5.2	Jun 18	Line chart app setup	`fredr`	`fredr_set_key()` , `as.Date()` , `Sys.Date()` ,		🖥️
	Jun 19	Building the UI	`shiny`	`column()`, `wellPanel()`, `helpText()`, `sliderInput()`		🖥️	✍️
	Jun 20	Building the server	`shiny`, `fredr`	`reactive()`, `fredr()`, `fred_indicator()`	📖	🖥️	📘 🧮
6.1	Jun 22	Final Project				🖥️
	Jun 23	Final Project
	Jun 24	Final Project
6.2	Jun 25	Final Project				🖥️
	Jun 26	Final Project
	Jun 27	Final Project					✍️