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Projects

SPACE AHEAD

A framework for effective and bespoke data visualizations

A practical guide to conceptualize data visualizations for scientific communications, science outreach and other purposes. This helps to adapt the data story to the audience and the setting, while focusing on key messages and accessibility.

Key features:
  • A checklist to avoid common issues in visualizations
  • In-depth posts on each aspect of the framework
  • Practical examples, comparisons and links to useful ressources and tools

Basic concept & checklist In-depth series

{webpea}

R package, experimental

Enables R users to easily export / save plots in the WebP image file format.

R-CMD-check

Key features:
  • Output plots as WebP
  • Significant file size reduction
  • Use as drop-in replacement for {ggplot}’s ggsave()

Documentation Source code

{namedropR}

R package, available on CRAN

Enables R users to convert a bibliography into a collection of legible, well formatted banners to cite scientific literature on conference slides and posters.

Monthly Downloads

Key features:
  • Output as PNG or HTML object
  • QR code to make citation scannable
  • Predefined styles and individual adjustments

Documentation View on CRAN Source code

30 Day Chart Challenge

2022 edition

A data visualization community-challenge. Each day in April has a new prompt for a visualization from five different categories: Comparisons, Distributions, Relationships, Timeseries, Uncertainties.
I contributed 20 visualizations, learned new technologies and enjoyed the great contributions of the many other participants.

My contributions’ code Explore interactive plots 30DayChartChallenge on github and on Twitter

Bundestag-Series

A collection of posts analysing open data of the German National Parliament

The German National Parliament, the “Bundestag”, provides open datasets, that contain information on elected representatives over time and data on public votes.
In this series I analyse several aspects of the Bundestag, ranging from age and gender distribution over the decades to a network analysis of parliamentarians according to their voting behavior.

Show series

Christian A. Gebhard 2020-2025
made with , and quarto

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