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ggstatsplot vs spanishoddata

A side-by-side editorial comparison of ggstatsplot and spanishoddata — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

ggstatsplot vs spanishoddata: at a glance

Featureggstatsplotspanishoddata
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesstatistical-plots, ggplot2, contingency-tables, hypothesis-testingmobility-data, origin-destination, duckdb, open-data
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is ggstatsplot?

ggstatsplot reached 1.0 by adding tests, having outsourced its statistics years ago.

ggstatsplot produces ggplot2 graphics with statistical test results embedded in the subtitle and caption — comparisons, correlations, contingency tables, histograms. Since the 2019 refactoring that moved all statistical computation into the separate statsExpressions package, its own release notes have been dominated by upstream tracking: adapting to ggplot2, dplyr, purrr and easystats changes. The 1.0.0 release in April 2026 breaks that run with real additions to the contingency-table functions.

Read the full ggstatsplot trajectory →

What is spanishoddata?

spanishoddata spent a year finding out its 2020-2021 data was quietly incomplete.

spanishoddata provides access to Spain's open mobility origin-destination datasets from the Ministry of Transport, converting them into DuckDB and parquet for analysis at scale. Nearly every release in this window is a data-fidelity fix rather than a feature: district-to-municipal reaggregation was wrong for the 2020-2021 vintage, literal 'NA' strings in the source CSVs broke DuckDB enum casting, and the Amazon S3 metadata bucket turned out to be truncated at March 2021, silently hiding data.

Read the full spanishoddata trajectory →

ggstatsplot vs spanishoddata: editorial side-by-side

G
ggstatsplot
ANALYTICS
0.0

ggstatsplot reached 1.0 by adding tests, having outsourced its statistics years ago.

◆ Current state

ggstatsplot produces ggplot2 graphics with statistical test results embedded in the subtitle and caption — comparisons, correlations, contingency tables, histograms. Since the 2019 refactoring that moved all statistical computation into the separate statsExpressions package, its own release notes have been dominated by upstream tracking: adapting to ggplot2, dplyr, purrr and easystats changes. The 1.0.0 release in April 2026 breaks that run with real additions to the contingency-table functions.

◆ Where it's heading

The architecture explains the cadence. With statistics living in statsExpressions, ggstatsplot's own releases are mostly the tax of sitting on top of a fast-moving plotting and tidyverse stack — five of the six most recent entries change nothing a user would notice. When substantive work does arrive it clusters in the plotting layer's coverage of test families, as in 1.0.0's one-sample goodness-of-fit support and pairwise contingency analyses. The maintainer is also visibly deliberate about scope, having removed the normality-curve overlay in 0.12.4 for being unrelated to the analysis in question.

◆ Prediction

Expect continued parity work across the plot family — features that exist in one function being extended to its siblings, as goodness-of-fit support moved from ggpiestats to ggbarstats — punctuated by maintenance releases tracking ggplot2 and easystats.

S
spanishoddata
ANALYTICS
0.0

spanishoddata spent a year finding out its 2020-2021 data was quietly incomplete.

◆ Current state

spanishoddata provides access to Spain's open mobility origin-destination datasets from the Ministry of Transport, converting them into DuckDB and parquet for analysis at scale. Nearly every release in this window is a data-fidelity fix rather than a feature: district-to-municipal reaggregation was wrong for the 2020-2021 vintage, literal 'NA' strings in the source CSVs broke DuckDB enum casting, and the Amazon S3 metadata bucket turned out to be truncated at March 2021, silently hiding data.

◆ Where it's heading

The package is in a trust-building phase. The pattern across 0.2.1 through 0.2.6 is the maintainers repeatedly discovering that upstream metadata and the package's own aggregation were misrepresenting what data existed, then fixing it and adding a check so it surfaces next time. That is now backed by infrastructure: comprehensive unit tests plus weekly live-data runs on GitHub workers that alert maintainers when the upstream ministry changes something. The last feature release sits outside the six-entry window, which is itself the story.

◆ Prediction

Expect continued upstream-tracking fixes as the ministry's API and S3 layout shift, with the experimental quick-access and checksum functions the most likely candidates for promotion to stable.

Alternatives to ggstatsplot and spanishoddata

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either ggstatsplot or spanishoddata.

See all ggstatsplot alternatives → · See all spanishoddata alternatives →

Recent activity from ggstatsplot and spanishoddata

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 2mo agospanishoddataRedirected district files identified in v1 metadata
  2. 2mo agospanishoddataS3 metadata truncation at March 2021 bypassed via XML feed
  3. 3mo agoggstatsplotPairwise contingency tests and one-sample goodness-of-fit
  4. 4mo agospanishoddataLiteral NA strings no longer break DuckDB casting
  5. 4mo agoggstatsplotInternal maintenance only
  6. 4mo agospanishoddataLarge urban area zones can be reloaded again
  7. 5mo agospanishoddatatime_slot column removed; test coverage goes live-weekly
  8. 6mo agoggstatsplotAdapted to dplyr 1.2.0 and purrr 1.2.1
  9. 8mo agoggstatsplotContributor list updated in DESCRIPTION
  10. 10mo agoggstatsplotSecondary axis label parsing fixed in gghistostats
  11. 11mo agoggstatsplotAdapted to the latest ggplot2 release
  12. 1y agospanishoddataDistrict-to-municipal reaggregation corrected for 2020-2021

Frequently asked questions

What is the difference between ggstatsplot and spanishoddata?

Both compete on the same themes — r-package — within Analytics. ggstatsplot and spanishoddata are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is ggstatsplot better than spanishoddata?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggstatsplot and spanishoddata are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to ggstatsplot?

Top ggstatsplot alternatives in Analytics are ranked by recent ship velocity. Browse the "ggstatsplot alternatives" section above for the current picks, or visit /alternatives/ggstatsplot for the full list with editorial commentary on each.

What are the best alternatives to spanishoddata?

Top spanishoddata alternatives in Analytics are ranked by recent ship velocity. Browse the "spanishoddata alternatives" section above for the current picks, or visit /alternatives/spanishoddata for the full list with editorial commentary on each.