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
# Loading required packages library(unhcrthemes) library(tidyverse) library(scales) library(ggrepel) # Loading data <- read_csv("https://raw.githubusercontent.com/GDS-ODSSS/unhcr-dataviz-platform/master/data/correlation/scatterplot_connected.csv") df # 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" )