diff --git a/3_visualize.R b/3_visualize.R
index 6a4f6c4b1961a808fdd9d4ffdb5b894936e3a9cf..401d42c5efabe5049fbecfbdf87d8593f73fe767 100644
--- a/3_visualize.R
+++ b/3_visualize.R
@@ -1,6 +1,151 @@
-# source('1_fetch/src/file_utils.R')
-# source('3_visualize/src/plot_utils.R')
+source('3_visualize/src/plot_utils.R')
p3_targets <- list(
+ tar_target(
+ p3_med_income_png,
+ plot_census_map(
+ census_data = p2_med_income_sf,
+ var = 'estimate',
+ conus_sf = p1_conus_sf,
+ outfile_path = "3_visualize/out/med_income_census_2022.png",
+ pal = "OrRd",
+ leg_title = "Median household income\n2022",
+ width = 6,
+ height = 4,
+ dpi = 300,
+ counties_outline_col = "grey80",
+ conus_outline_col = 'grey50',
+ bg_col = "white",
+ load_font = 'Source Sans Pro',
+ font_size = 10
+ ),
+ format = "file"
+ ),
+ tar_target(
+ p3_tot_black_png,
+ plot_census_map(
+ census_data = p2_tot_black_sf,
+ var = 'estimate',
+ conus_sf = p1_conus_sf,
+ outfile_path = "3_visualize/out/tot_black_census_2022.png",
+ pal = "OrRd",
+ leg_title = "Total Black\n2022",
+ width = 6,
+ height = 4,
+ dpi = 300,
+ counties_outline_col = "grey80",
+ conus_outline_col = 'grey50',
+ bg_col = "white",
+ load_font = 'Source Sans Pro',
+ font_size = 10
+ ),
+ format = "file"
+ ),
+
+
+ tar_target(
+ p3_perc_black_png,
+ plot_census_map(
+ census_data = p2_perc_black_sf,
+ var = 'percent',
+ conus_sf = p1_conus_sf,
+ outfile_path = "3_visualize/out/perc_black_census_2022.png",
+ pal = "OrRd",
+ leg_title = "Percent Black\n2022",
+ width = 6,
+ height = 4,
+ dpi = 300,
+ counties_outline_col = "grey80",
+ conus_outline_col = 'grey50',
+ bg_col = "white",
+ load_font = 'Source Sans Pro',
+ font_size = 10
+ ),
+ format = "file"
+ ),
+
+ tar_target(
+ p3_tot_latino_png,
+ plot_census_map(
+ census_data = p2_tot_latino_sf,
+ var = 'estimate',
+ conus_sf = p1_conus_sf,
+ outfile_path = "3_visualize/out/tot_latino_census_2022.png",
+ pal = "OrRd",
+ leg_title = "Total Latino\n2022",
+ width = 6,
+ height = 4,
+ dpi = 300,
+ counties_outline_col = "grey80",
+ conus_outline_col = 'grey50',
+ bg_col = "white",
+ load_font = 'Source Sans Pro',
+ font_size = 10
+ ),
+ format = "file"
+ ),
+
+ tar_target(
+ p3_perc_latino_png,
+ plot_census_map(
+ census_data = p2_perc_latino_sf,
+ var = 'percent',
+ conus_sf = p1_conus_sf,
+ outfile_path = "3_visualize/out/perc_latino_census_2022.png",
+ pal = "OrRd",
+ leg_title = "Percent Latino\n2022",
+ width = 6,
+ height = 4,
+ dpi = 300,
+ counties_outline_col = "grey80",
+ conus_outline_col = 'grey50',
+ bg_col = "white",
+ load_font = 'Source Sans Pro',
+ font_size = 10
+ ),
+ format = "file"
+ ),
+
+ tar_target(
+ p3_tot_male_png,
+ plot_census_map(
+ census_data = p2_tot_male_sf,
+ var = 'estimate',
+ conus_sf = p1_conus_sf,
+ outfile_path = "3_visualize/out/tot_male_census_2022.png",
+ pal = "OrRd",
+ leg_title = "Total Male\n2022",
+ width = 6,
+ height = 4,
+ dpi = 300,
+ counties_outline_col = "grey80",
+ conus_outline_col = 'grey50',
+ bg_col = "white",
+ load_font = 'Source Sans Pro',
+ font_size = 10
+ ),
+ format = "file"
+ ),
+
+ tar_target(
+ p3_tot_female_png,
+ plot_census_map(
+ census_data = p2_tot_female_sf,
+ var = 'estimate',
+ conus_sf = p1_conus_sf,
+ outfile_path = "3_visualize/out/tot_female_census_2022.png",
+ pal = "OrRd",
+ leg_title = "Total Female\n2022",
+ width = 6,
+ height = 4,
+ dpi = 300,
+ counties_outline_col = "grey80",
+ conus_outline_col = 'grey50',
+ bg_col = "white",
+ load_font = 'Source Sans Pro',
+ font_size = 10
+ ),
+ format = "file"
+ )
)
\ No newline at end of file
diff --git a/3_visualize/src/plot_utils.R b/3_visualize/src/plot_utils.R
new file mode 100644
index 0000000000000000000000000000000000000000..89e1440f41be5ae1dfd6086944c9b7fdfd95f6bd
--- /dev/null
+++ b/3_visualize/src/plot_utils.R
@@ -0,0 +1,45 @@
+# Map census data
+#'
+#' @param census_data, dataframe of census data for specified variable of interest
+#' @param conus_sf, sf of conus states outline
+#' @param pal, assign map palette
+#' @param leg_title, character string for legend title
+#' @param outfile_path, outfile path for pngs
+#' @param width, set png width
+#' @param height, set png height
+#' @param dpi, set png dots per inches
+#' @param counties_outline_col, assign color to counties outline
+#' @param conus_outline_col, assign color to conus outline
+#' @param bg_col, assign background color for maps
+#' @param load_font, assign font name
+plot_census_map <- function(census_data, conus_sf, pal, leg_title, outfile_path, width, height, dpi,
+ counties_outline_col, conus_outline_col, bg_col, load_font, font_size, var){
+
+ font_legend <- load_font
+ font_add_google(font_legend)
+ showtext_opts(dpi = 300, regular.wt = 200, bold.wt = 700)
+ showtext_auto(enable = TRUE)
+
+ census_map <- census_data |>
+ ggplot(aes(fill = .data[[var]])) +
+ geom_sf(color = counties_outline_col,
+ linewidth = 0.05) +
+ geom_sf(data = conus_sf,
+ fill = NA,
+ color = conus_outline_col,
+ linewidth = 0.2,
+ linetype = "solid") +
+ theme_void() +
+ scale_fill_distiller(
+ palette = pal,
+ direction = 1,
+ name = leg_title,
+ limits = c(0, max(census_data[[var]], na.rm = TRUE)),
+ labels = scales::comma) +
+ theme(text = element_text(family = font_legend, size = font_size),
+ legend.margin = margin(r = 10))
+
+ ggsave(outfile_path, census_map, width = width, height = height, dpi = dpi, bg = bg_col)
+
+ return(outfile_path)
+}