Repo oficial de la comunidad de Hazla con Datos
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Updated
Jun 28, 2024 - R
Data visualization is the visual depiction of data through the use of graphs, plots, and informational graphics. Its practitioners use statistics and data science to convey the meaning behind data in ethical and accurate ways.
Repo oficial de la comunidad de Hazla con Datos
My contributions to the #TidyTuesday challenge
R package extending 'ggplot2' with manipulation and debugging tools.
A repository containing contributions to the TidyTuesday project
Label elements within user drawn gates
Enhancing {ggplot2} plots with statistical analysis 📊📣
Visualizing bilateral links between Euro squads and players clubs
Simple parliament plots using ggplot2
A highly specialized suite of standardized plotting routines based on the "Grammar of Graphics" framework of mapping variables to aesthetics used in 'ggplot2'. Graphics types are biased towards visualizing SomaScan (proteomic) data.
Small package to support UMBC's GES 778 course on data visualization
An R package for creating Fresnel Maps, a new thematic mapping technique in which spatial data is visualised to equal-area concentric circular zones (or annuli).
An R package for charting density potentials in the built environment using Space Ratio and the Space Ratio Chart.
This repo shows all the 2024 Tidy Tuesday dataviz created with R programming 😊
W.E.B. Du Bois Challenge plots
This repo contains data visualizations for #TidyTuesday.
Created by Charles Joseph Minard