ggrepel saves hours of manual label adjustment.

I use it on every multi-line chart — country labels that never overlap.

geom_text_repel(direction = "y", segment.color = "grey30")

energtx.com/visualizations

#RStats #ggplot2 #ggrepel #DataViz #TidyTuesday

Day 24 | Timeseries – Data Day – WHO | #30DayChartChallenge. Visualization made with R using #ggplot2, #dplyr, #showtext, #patchwork, #ggrepel, #glue, #ggtext, #sf and #rnaturalearth. | Source: WHO.

Day 21 | Timeseries – Fossils| #30DayChartChallenge. Visualization made with R using #ggplot2, #dplyr, #showtext, #ggrepel and #janitor. | Source: Our World in Data

Día 1 | Comparaciones – Fracciones | #30DayChartChallenge. La visualización fue creada usando R basado en los paquetes #ggplot2, #dplyr, #scales, #ggtext, #patchwork, #showtext, #sf, #rnaturalearth, #rnaturalearthdata y #ggrepel. Fuente HDX - data.humdata.org/dataset/cod-...

#ggrepel lives in RWorld, which shares a border with Coronaland, Celltopia, and Genomic Haven.

#maplibre #github

How to directly add labels on a plot with ggrepel - Data Viz with Python and R In this tutorial, we will learn how to add legends to a plot made with ggplot2 directly on the plot, so that it is much easier to understand the plot. When you make a plot with ggplot, adding legends ...

directly add labels on a plot with #ggrepel #rstats #ggplot2 datavizpyr.com/how-to-direc...

Cross-posting a new portfolio piece!

Anyone keeping track of how much larger LLMs have been getting? I just compiled this data set of various LLM model sizes and made a visualization of a subset of them (using #Rstats #ggplot2 of course, with #ggrepel and #patchwork)

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Plot time! From a DIF analysis in an in-progress manuscript - #ggrepel and #cowplot are just wonderful tools.

#30DayMapChallenge Day 13: Tracks. Where the world's northernmost metro system meets Finland's southernmost coastline. Code: github.com/tts/mapchallenge/blob/ma... #Rstats #sf #ggplot #ggrepel