# bbc/bbplot

R package that helps create and export ggplot2 charts in the style used by the BBC News data team

Repository: https://github.com/bbc/bbplot
Canonical: https://ross.abutalabs.com/products/bbplot
Language: R
License Family: other
Last push: 2021-07-02T16:44:39+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2787, "days_push": 1888, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1637, forks 270 (observed 2026-08-28T04:05:14.984567+00:00)

## What it is
bbplot is an R package providing ggplot2 styling and export functions matching the BBC News data team's visual style. It offers bbc_style() to apply the BBC chart theme and finalise_plot() to save publication-ready graphics with branding elements.

## Use cases
- create charts in BBC News style with ggplot2
- export publication-ready plots with source lines and BBC branding
- apply a consistent house theme to data visualizations
- produce news graphics from R for editorial workflows
- left-align titles and add logo blocks to saved charts

## When to choose
- you need charts matching BBC News visual guidelines
- you work in R with ggplot2 and want a ready-made editorial theme
- you want automated export with source attribution and branding

## When to avoid
- you need a general-purpose theming package with customizable styles
- you want a package available on CRAN with active maintenance
- you don't use R or ggplot2
- you need chart styles other than the BBC house style

## Facets
- artifact type: library
- maturity: maintenance
- function: data-visualization, charts
- domain: data-visualization, data-science, media
- platform: python
- tags: r, ggplot2, bbc-news, theme, publication-graphics

## Member repositories
- bbc/bbplot (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:14.984567+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:46:40.657595+00:00, confidence not recorded.
  - readme: https://github.com/bbc/bbplot (fetched 2026-08-28T04:05:14.984567+00:00, sha 68399b7c244c)
- Data as of 2026-08-30T08:39:29.467469+00:00.
