Andrés Camilo Zúñiga González 11/5/2021
This is the code of my submission for the 2021 SDG Hackathon organized by CORRELAID and the University of Basel, which took place in November 5th and 6th virtually.
Original Repository with the data used for the visualization can be found here.
library(tidyverse)
library(glue)
library(patchwork)
library(ggbump)
library(ggtext)
library(ggimage)
library(emojifont)
library(RColorBrewer)Reading and filtering the source data.
df <- read_csv('sdg_hackathon_data.csv') %>%
mutate(approved_amount = case_when(approved_amount == 'data not included in P3' ~ NA_real_,
T ~ as.numeric(approved_amount))) %>%
filter(!is.na(hits)) %>%
arrange(system, sdg, hits)
supp <- read_csv('supplementary_data.csv') %>%
left_join(df %>%
select(project_number, project_title, keywords,
start_date, end_date, funding_instrument,
approved_amount, responsible_applicant, university,
discipline_name) %>%
distinct(),
by = 'project_number')Linking Icon files (SDGs and System types) with their names and colours for HTML rendering.
sdg_values <- df %>% pull(sdg) %>% sort() %>% unique()
sdg_icons_files <- list.files('SDG Icons 2019/', pattern = '*.jpg', full.names = T)
sdg_labels <- glue("<img src='{sdg_icons_files}'width='15'/>")
# sdg_labels <- paste0("<img src='", sdg_icons_files, "'width='16'/>")
names(sdg_labels) <- sdg_values
system_values <- df %>% pull(system) %>% sort() %>% unique()
system_icons_files <- list.files('system_icons/', pattern = '*.png', full.names = T)
system_sizes <- c(25, 20, 20, 25, 25)
system_labels <- glue("<img src='{system_icons_files}'width='{system_sizes}'/>")
# system_labels <- paste0("<img src='", system_icons_files, "'width='20'/>")
names(system_labels) <- system_values
un_color <- '#00ADEF'
sdg_colors <- c('#fc0014', '#ce9f00', '#2fd400', '#c60021', '#c60021',
'#2eede8', '#ffb000', '#840038', '#ff4a05', '#f005e8',
'#ff8c0a', '#cc8200', '#358c0a', '#0a96f0', '#40f500',
'#0046bc', '#001b8b')
names(sdg_colors) <- sdg_valuesAggregating data for minimum and maximum values, and adding the path to the SDG wheel icon as a column
df_summary <- df %>%
filter(!is.na(approved_amount)) %>%
select(sdg, system, approved_amount, hits) %>%
group_by(sdg, system, ) %>%
summarise(min = min(approved_amount), max = max(approved_amount),
mean = mean(approved_amount), median = median(approved_amount),
n_projects = sum(!is.na(hits)), mean_hits = mean(hits)) %>%
ungroup() %>%
mutate(wheel_path = 'SDG-Wheel_WEB.png',
system_path = case_when(system == 'aurora' ~ 'system_icons/aurora.jpg',
system == 'elsevier' ~ 'system_icons/elsevier.jpg',
system == 'ontology' ~ 'system_icons/ontology.png',
system == 'sdsn' ~ 'system_icons/sdsn.jpg',
system == 'siris' ~ 'system_icons/siris.jpg'))Creating the ranking dataframe using the aggregated data
df_rank <- df_summary %>%
pivot_wider(id_cols = sdg, names_from = system, values_from = n_projects) %>%
arrange(desc(aurora)) %>%
mutate(aurora_rank = 1:17, .after = aurora) %>%
arrange(desc(elsevier)) %>%
mutate(elsevier_rank = 1:17, .after = elsevier) %>%
arrange(desc(ontology)) %>%
mutate(ontology_rank = 1:17, .after = ontology) %>%
arrange(desc(sdsn)) %>%
mutate(sdsn_rank = 1:17, .after = sdsn) %>%
arrange(desc(siris)) %>%
mutate(siris_rank = 1:17, .after = siris) %>%
arrange(sdg) %>%
# select(sdg, ends_with('rank')) %>%
pivot_longer(cols = ends_with('rank'), names_to = 'system', values_to = 'rank') %>%
mutate(system = factor(system,
levels = c('aurora_rank', 'elsevier_rank',
'ontology_rank', 'sdsn_rank',
'siris_rank'))) %>%
mutate(system_num = as.numeric(system),
sdg_icon = sdg_labels[sdg],
sdg_color = sdg_colors[sdg])Creating the dataframe for the systems
# n_labels <- df_rank %>% pull(system) %>% unique()
# names(system_labels) <- 1:5
system_icon_df <- tibble(
x = 1:5,
y = rep(18, 5),
icon = system_labels
)Dataframes for the numbers displayed as maximum and minimum for each system
df_rank_range <- df_rank %>%
filter(rank %in% c(1, 17)) %>%
pivot_longer(aurora:siris, names_to = 'system_name', values_to = 'projects') %>%
mutate(projects = case_when(is.na(projects) ~ 0L, T ~ projects)) %>%
arrange(rank)
df_rank_range2 <- df_rank %>%
filter(rank %in% c(1, 16)) %>%
pivot_longer(aurora:siris, names_to = 'system_name', values_to = 'projects') %>%
mutate(projects = case_when(is.na(projects) ~ 0L, T ~ projects)) %>%
arrange(rank)Dataframe for textboxes used with arrows
df_textbox <- tibble(
x = c(2.5, 4.5),
y = c(2.5, 14.5),
xstart = c(2.5, 4.5),
xend = c(2.3, 4.7),
ystart = c(1.7, 15.3),
yend = c(0.8, 16.2),
text = c("<span style='font-size:20pt; color:#1f1a1a'> Max number<br style='line-height:5px;'> of projects</span>",
"<span style='font-size:20pt; color:#1f1a1a'> Min number<br style='line-height:5px;'> of projects</span>")
)plot <- df_rank %>%
ggplot(aes(x = system_num, y = rank, color = sdg)) +
geom_bump(alpha = .7) +
geom_point(size = 2, color = '#1f1a1a') +
# scale_x_discrete(labels = system_labels) +
geom_richtext(inherit.aes = F, data = df_rank %>%
filter(system == 'aurora_rank'), fill = NA, label.color = NA,
mapping = aes(x = system_num - 0.2, y = rank, label = sdg_icon)) +
geom_richtext(inherit.aes = F, data = df_rank_range %>%
filter(system_name == 'aurora' & system_num == 1 & rank %in% c(1, 17)),
fill = NA, label.color = NA, size = 8, color = '#f5e6bc',
mapping = aes(x = system_num + .2, y = rank + c(-.3, .3), label = projects)) +
geom_richtext(inherit.aes = F, data = df_rank_range2 %>%
filter(system_name == 'elsevier' & system_num == 2 & rank %in% c(1, 16)),
fill = NA, label.color = NA, size = 8, color = '#f5e6bc',
mapping = aes(x = system_num + .2, y = rank + c(-.3, .3), label = projects)) +
geom_richtext(inherit.aes = F, data = df_rank_range %>%
filter(system_name == 'ontology' & system_num == 3 & rank %in% c(1, 17)),
fill = NA, label.color = NA, size = 8, color = '#f5e6bc',
mapping = aes(x = system_num + .2, y = rank + c(-.3, .3), label = projects)) +
geom_richtext(inherit.aes = F, data = df_rank_range %>%
filter(system_name == 'sdsn' & system_num == 4 & rank %in% c(1, 17)),
fill = NA, label.color = NA, size = 8, color = '#f5e6bc',
mapping = aes(x = system_num + .2, y = rank + c(-.3, .3), label = projects)) +
geom_richtext(inherit.aes = F, data = df_rank_range2 %>%
filter(system_name == 'siris' & system_num == 5 & rank %in% c(1, 16)),
fill = NA, label.color = NA, size = 8, color = '#f5e6bc',
mapping = aes(x = system_num - .2, y = rank + c(-.3, .3), label = projects)) +
geom_richtext(inherit.aes = F, data = df_rank %>%
filter(system == 'siris_rank'), fill = NA, label.color = NA,
mapping = aes(x = system_num + 0.2, y = rank, label = sdg_icon)) +
geom_richtext(inherit.aes = F, data = system_icon_df, fill = NA, label.color = NA,
mapping = aes(x = x, y = y + .1, label = icon)) +
geom_curve(data = df_textbox, aes(x = xstart, y = ystart, xend = xend, yend = yend),
color = '#f5e6bc', alpha = .5, arrow = arrow(length = unit(0.01, "npc"))) +
geom_richtext(inherit.aes = F, data = df_textbox, mapping = aes(x = x, y = y, label = text),
fill = '#f5e6bc', color = '#1f1a1a', alpha = .8) +
geom_image(image = 'SDG-Wheel_WEB.png', inherit.aes = F,
mapping = aes(x = system_num, y = rank), size = .02, asp = 1.78) +
scale_color_manual(values = sdg_colors) +
scale_x_continuous(expand = c(.025, .025)) +
scale_y_reverse(breaks = seq(1, 17, 1),
sec.axis = sec_axis(trans = ~.*1, name = NULL,
breaks = seq(1, 17, 1))) +
labs(title = 'Swiss Research Projects Associated with SDGs: A Rank Perspective',
subtitle = "Below is shown the ranking of SDGs according to the number of projects where they were found using different detection systems from <img src='text2sdg_logo.png' width='10'> package",
x = NULL,
y = NULL,
caption = 'Andrés Camilo Zúñiga González (@ancazugo) | Data: SDG Hackathon') +
theme(
panel.background = element_rect(fill = '#1f1a1a'),
plot.background = element_rect(fill = '#1f1a1a'),
panel.grid = element_blank(),
axis.ticks = element_blank(),
axis.text.x = element_blank(),
axis.text.y = element_text(color = '#f5e6bc', size = 20, hjust = 0.5),
axis.text.y.right = element_text(color = '#f5e6bc', size = 20, hjust = 0.5),
plot.margin = unit(c(.1, .5, .1, .5), "cm"),
plot.title = element_textbox_simple(face = 'bold', color = '#f5e6bc',
size = 30, halign = 0, hjust = 0.5,
margin = unit(c(.1, .1, .1, .1), "cm")),
plot.subtitle = element_textbox_simple(color = '#f5e6bc',
size = 20, halign = 0, hjust = 0.5,
margin = unit(c(.1, .1, .1, .1), "cm")),
plot.caption = element_textbox_simple(color = '#f5e6bc',
size = 15, halign = 1, hjust = 0.5,
margin = unit(c(.1, .1, .1, .1), "cm")),
legend.position = 'none')
ggsave('sdg_viz.png', plot, dpi = 300, width = 2560, height = 1440, units = 'px')