sketch-example
cynthiahqy
2022-11-22
Last updated: 2022-11-22
Checks: 6 1
Knit directory: viz-panel-maps/
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For SoDa presentation
Setup Sketch Example
# sample data
df_data_in <- tibble::tribble(~source_code, ~value_in,
"x1111", 100,
"x2222", 30,
"x3333", 20,
"x4444", 80,
"x5555", 30,
"x6666", 40,
"x7777", 15
)df_concordance <- tibble::tribble(~source_code, ~target_code,
"x1111", "A1",
"x2222", "B2",
"x2222", "B3",
"x3333", "C5",
"x4444", "C5",
"x5555", "D6",
"x5555", "D7",
"x6666", "D6",
"x6666", "D7",
"x7777", "D6"
)
(df_pm <- df_concordance |>
conformr::make_panel_map_equal(code_in = source_code, code_out = target_code, "weights"))# A tibble: 10 × 3
source_code target_code weights
<chr> <chr> <dbl>
1 x1111 A1 1
2 x2222 B2 0.5
3 x2222 B3 0.5
4 x3333 C5 1
5 x4444 C5 1
6 x5555 D6 0.5
7 x5555 D7 0.5
8 x6666 D6 0.5
9 x6666 D7 0.5
10 x7777 D6 1 (data_out <-
conformr::use_panel_map(map = df_pm,
data = df_data_in, values_from = value_in,
from_code = source_code, to_code = target_code,
weights = weights, .suffix = "_out"))# A tibble: 6 × 2
target_code value_in_out
<chr> <dbl>
1 A1 100
2 B2 15
3 B3 15
4 C5 100
5 D6 50
6 D7 35Visualisations
# viz panel map
plt_panel_map <- function(pm, from, to, weighted){
require(dplyr)
require(ggplot2)
require(ggbump)
edges <- pm |>
transmute(from = {{from}}, to = {{to}}, weighted = {{weighted}})
## calculate positions for nodes
from_nodes <- distinct(edges, from) |> mutate(from_y = row_number())
to_nodes <- distinct(edges, to) |> mutate(to_y = row_number() - 1 + 0.5)
## generate df for ggplot
df <- edges |>
## generate mapping type/case variables
group_by(from) |>
mutate(n_dest = n()) |>
ungroup() |>
group_by(to) |>
mutate(n_origin = n(),
min_weight = min(weighted)) |>
ungroup() |>
mutate(value_case = case_when(n_dest == 1 ~ "one-to-one",
n_dest > 1 ~ "one-to-many")) |>
left_join(tribble(~value_case, ~line_type, ~font_type,
"one-to-one", "solid", "bold",
"one-to-many", "dashed", "italic"),
by = "value_case") |>
mutate(from_case = case_when(n_origin == 1 ~ "one-from-one",
n_origin > 1 ~ "one-from-many",
n_origin < 1 ~ "ERROR! origin codes < 1"),
dest_case = case_when(min_weight < 1 ~ "contains split",
min_weight == 1 ~ "aggregation only",
min_weight > 1 ~ "ERROR! weight > 1")
) |>
## add y-coordinates
left_join(from_nodes, by = "from") |>
left_join(to_nodes, by = "to") |>
## add x-coordinates
mutate(from_x = 0,
to_x = 5) |>
## give each from-out instruction a unique id
mutate(idx = row_number())
plt_uw <- df |>
ggplot(aes(x = from_x, xend = to_x, y = from_y, yend = to_y, group = idx)) +
## edges as sigmoid curves with line type
geom_sigmoid(aes(linetype = I(line_type))) +
# to/from nodes
scale_y_reverse() +
geom_text(aes(x = from_x - 0.5, label=from, fontface=I(font_type))) +
geom_label(aes(x = to_x + 0.5, y = to_y, label=to, fill = dest_case)) +
# edge labels
geom_label(data = filter(df, value_case == "one-to-many"),
aes(x = (((from_x + to_x) / 2) + to_x) / 2,
y = to_y,
label = weighted)) +
geom_label(data = filter(df, value_case == "one-to-one"),
aes(x = (from_x + to_x) / 4,
y = from_y,
label = weighted)) +
# theme
scale_fill_manual(values = wesanderson::wes_palette(n = 4, name = "GrandBudapest2")) +
scale_color_manual(values = wesanderson::wes_palette(n = 4, name = "GrandBudapest2")) +
cowplot::theme_minimal_grid(font_size = 14, line_size = 0) +
theme(legend.position = "bottom",
panel.grid.major = element_blank(),
axis.text.y = element_blank(),
axis.text.x = element_blank(),
plot.background = element_rect(fill = "white")) +
labs(x = NULL, y = NULL, fill = "Output Relation")
return(plt_uw)
}
df_pm |>
plt_panel_map(from = source_code, to = target_code, weighted = weights)Loading required package: dplyr
Attaching package: 'dplyr'The following objects are masked from 'package:stats':
filter, lagThe following objects are masked from 'package:base':
intersect, setdiff, setequal, unionLoading required package: ggplot2Loading required package: ggbump
without code…
Pretty Tables
Sorted by target_code
df_pm |>
dplyr::arrange(target_code)# A tibble: 10 × 3
source_code target_code weights
<chr> <chr> <dbl>
1 x1111 A1 1
2 x2222 B2 0.5
3 x2222 B3 0.5
4 x3333 C5 1
5 x4444 C5 1
6 x5555 D6 0.5
7 x6666 D6 0.5
8 x7777 D6 1
9 x5555 D7 0.5
10 x6666 D7 0.5
sessionInfo()R version 4.2.1 (2022-06-23)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Big Sur ... 10.16
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib
locale:
[1] en_AU.UTF-8/en_AU.UTF-8/en_AU.UTF-8/C/en_AU.UTF-8/en_AU.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggbump_0.1.0 ggplot2_3.3.6 dplyr_1.0.10
loaded via a namespace (and not attached):
[1] Rcpp_1.0.9 highr_0.9 pillar_1.8.1
[4] compiler_4.2.1 bslib_0.3.1 later_1.3.0
[7] jquerylib_0.1.4 git2r_0.30.1 workflowr_1.7.0
[10] tools_4.2.1 digest_0.6.30 gtable_0.3.1
[13] jsonlite_1.8.2 evaluate_0.16 lifecycle_1.0.3
[16] tibble_3.1.8 pkgconfig_2.0.3 rlang_1.0.6
[19] DBI_1.1.3 cli_3.4.1 rstudioapi_0.13
[22] yaml_2.3.5 xfun_0.31 fastmap_1.1.0
[25] withr_2.5.0 stringr_1.4.1 conformr_0.0.0.9001
[28] knitr_1.39 generics_0.1.3 fs_1.5.2
[31] vctrs_0.4.2 sass_0.4.2.9000 cowplot_1.1.1
[34] grid_4.2.1 rprojroot_2.0.3 tidyselect_1.2.0
[37] glue_1.6.2 R6_2.5.1 fansi_1.0.3
[40] wesanderson_0.3.6 rmarkdown_2.14 farver_2.1.1
[43] magrittr_2.0.3 scales_1.2.1 promises_1.2.0.1
[46] htmltools_0.5.2 assertthat_0.2.1 colorspace_2.0-3
[49] httpuv_1.6.5 labeling_0.4.2 utf8_1.2.2
[52] stringi_1.7.8 munsell_0.5.0