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# For case studies approach: select one demographic characteristic (hispanic/latino),
p3_targets <- list(

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census_data = p2_perc_census_acs5_layers_sf[[2]],
lim_vals = c(0, 155000),

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percent_leg = FALSE,
outfile_path = "3_visualize/out/med_income_census_2022_en.png",
leg_title = "Median household income, 2022",
viz_config_df = p0_viz_config_df,
viz_config_pal = p0_viz_config_pal$socioeconomic_status,

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width = p0_viz_config_df$width_desktop,
height = p0_viz_config_df$height_desktop,
font_size = p0_viz_config_df$font_size_desktop,

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barheight = 1

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census_data = p2_perc_census_acs5_layers_sf[[4]],
percent_leg = TRUE,
lim_vals = c(0, 100),
break_vals = c(0, 25, 50, 75, 100),

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conus_sf = p1_conus_sf,
outfile_path = "3_visualize/out/perc_hispanic_census_2022_en.png",

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leg_title = "Percent Hispanic, 2022",
viz_config_df = p0_viz_config_df,
viz_config_pal = p0_viz_config_pal$demographic_characteristics,

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width = p0_viz_config_df$width_desktop,
height = p0_viz_config_df$height_desktop,
font_size = p0_viz_config_df$font_size_desktop,

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barheight = 1
p3_avg_household_size_png_en,
census_data = p2_census_acs5sub_household_data[[1]],
percent_leg = FALSE,
outfile_path = "3_visualize/out/avg_household_size_2022_en.png",
leg_title = "Average household size, 2022",
viz_config_df = p0_viz_config_df,
viz_config_pal = p0_viz_config_pal$demographic_characteristics,

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width = p0_viz_config_df$width_desktop,
height = p0_viz_config_df$height_desktop,
font_size = p0_viz_config_df$font_size_desktop,

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barheight = 1

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),
format = "file"
),
tar_target(

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plot_census_map(
census_data = p2_census_acs5sub_household_data[[2]],

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percent_leg = FALSE,
outfile_path = "3_visualize/out/median_rent_2022_en.png",
viz_config_df = p0_viz_config_df,
viz_config_pal = p0_viz_config_pal$land_tenure,

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width = p0_viz_config_df$width_desktop,
height = p0_viz_config_df$height_desktop,
font_size = p0_viz_config_df$font_size_desktop,

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barheight = 1

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),
format = "file"
),
plot_census_map(
census_data = p2_census_acs5sub_disability_data[[1]],
percent_leg = TRUE,
lim_vals = c(0, 50),
break_vals = c(0, 10, 20, 30, 40, 50),
var = 'estimate',
conus_sf = p1_conus_sf,
outfile_path = "3_visualize/out/perc_disabled_census_2022_en.png",

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leg_title = "Percent disabled, 2022",
viz_config_df = p0_viz_config_df,
viz_config_pal = p0_viz_config_pal$demographic_characteristics,
width = p0_viz_config_df$width_desktop,
height = p0_viz_config_df$height_desktop,
font_size = p0_viz_config_df$font_size_desktop,

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barheight = 1

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),
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),
# Spanish version's of maps -----------------------------------------------
tar_target(
p3_med_income_png_es,
plot_census_map(
census_data = p2_perc_census_acs5_layers_sf[[2]],
lim_vals = c(0, 155000),
percent_leg = FALSE,
dollar_leg = TRUE,
var = 'estimate',
conus_sf = p1_conus_sf,
outfile_path = "3_visualize/out/med_income_census_2022_es.png",
leg_title = "Media de ingresos por hogar, 2022",
viz_config_df = p0_viz_config_df,
viz_config_pal = p0_viz_config_pal$socioeconomic_status,
width = p0_viz_config_df$width_desktop,
height = p0_viz_config_df$height_desktop,
font_size = p0_viz_config_df$font_size_desktop,
barwidth = 20,
barheight = 1
),
format = "file"
),
tar_target(
p3_perc_latino_png_es,
plot_census_map(
census_data = p2_perc_census_acs5_layers_sf[[4]],
percent_leg = TRUE,
dollar_leg = FALSE,
lim_vals = c(0, 100),
break_vals = c(0, 25, 50, 75, 100),
var = 'percent',
conus_sf = p1_conus_sf,
outfile_path = "3_visualize/out/perc_hispanic_census_2022_es.png",
leg_title = "Porcentaje de Hispanos, 2022",
viz_config_df = p0_viz_config_df,
viz_config_pal = p0_viz_config_pal$demographic_characteristics,
width = p0_viz_config_df$width_desktop,
height = p0_viz_config_df$height_desktop,
font_size = p0_viz_config_df$font_size_desktop,
barwidth = 20,
barheight = 1
),
format = "file"
),
tar_target(
p3_avg_household_size_png_es,
plot_census_map(
census_data = p2_census_acs5sub_household_data[[1]],
percent_leg = FALSE,
dollar_leg = FALSE,
lim_vals = c(1, 5),
var = 'estimate',
conus_sf = p1_conus_sf,
outfile_path = "3_visualize/out/avg_household_size_2022_es.png",
leg_title = "Tamaño promedio de los hogares, 2022",
viz_config_df = p0_viz_config_df,
viz_config_pal = p0_viz_config_pal$demographic_characteristics,
width = p0_viz_config_df$width_desktop,
height = p0_viz_config_df$height_desktop,
font_size = p0_viz_config_df$font_size_desktop,
barwidth = 20,
barheight = 1
),
format = "file"
),
tar_target(
p3_median_rent_png_es,
plot_census_map(
census_data = p2_census_acs5sub_household_data[[2]],
percent_leg = FALSE,
dollar_leg = TRUE,
lim_vals = c(0, 3000),
var = 'estimate',
conus_sf = p1_conus_sf,
outfile_path = "3_visualize/out/median_rent_2022_es.png",
leg_title = "Alquiler bruto medio, 2022",
viz_config_df = p0_viz_config_df,
viz_config_pal = p0_viz_config_pal$land_tenure,
width = p0_viz_config_df$width_desktop,
height = p0_viz_config_df$height_desktop,
font_size = p0_viz_config_df$font_size_desktop,
barwidth = 20,
barheight = 1
),
format = "file"
),
tar_target(
p3_perc_disable_png_es,
plot_census_map(
census_data = p2_census_acs5sub_disability_data[[1]],
percent_leg = TRUE,
dollar_leg = FALSE,
lim_vals = c(0, 50),
break_vals = c(0, 10, 20, 30, 40, 50),
var = 'estimate',
conus_sf = p1_conus_sf,
outfile_path = "3_visualize/out/perc_disabled_census_2022_es.png",
leg_title = "Porcentaje de discapacitados, 2022",
viz_config_df = p0_viz_config_df,
viz_config_pal = p0_viz_config_pal$demographic_characteristics,
width = p0_viz_config_df$width_desktop,
height = p0_viz_config_df$height_desktop,
font_size = p0_viz_config_df$font_size_desktop,
barwidth = 20,
barheight = 1
),
format = "file"