Connected scatterplot with R
A connected scatterplot is a type of visualization that displays the evolution of a series of data points that are connected by straight line segments. In some cases, it is not the most intuitive to read; but it is impressive for storytelling.
More about: Connected scatterplot
Connected scatterplot
# Loading required packages
library(unhcrthemes)
library(tidyverse)
library(scales)
library(ggrepel)
# Loading data
df <- read_csv("https://raw.githubusercontent.com/GDS-ODSSS/unhcr-dataviz-platform/master/data/correlation/scatterplot_connected.csv")
# Plot
ggplot(
df,
aes(
x = refugee_number,
y = idp_number
)
) +
geom_segment(aes(
xend = c(tail(refugee_number, n = -1), NA),
yend = c(tail(idp_number, n = -1), NA)
),
color = unhcr_pal(n = 1, "pal_grey")
) +
geom_point(
color = unhcr_pal(n = 1, "pal_blue"),
size = 3
) +
geom_text_repel(
data = df[seq(1, nrow(df), 2), ],
aes(label = year),
size = 8 / .pt,
point.padding = 5
) +
labs(
title = "Evolution of refugee vs IDP population in Afghanistan\n2001-2021",
y = "Number of IDPs",
x = "Number of refugees",
caption = "Source: Data source here\n© UNHCR, The UN Refugee Agency"
) +
scale_x_continuous(labels = label_number_si()) +
scale_y_continuous(labels = label_number_si()) +
theme_unhcr(
grid = "XY",
axis = FALSE,
axis_title = "xy"
)
