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r2dii.match vs r2dii.plot

A side-by-side editorial comparison of r2dii.match and r2dii.plot — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:climate-financepactar-package

r2dii.match vs r2dii.plot: at a glance

Featurer2dii.matchr2dii.plot
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesclimate-finance, entity-matching, pacta, loan-booksclimate-finance, data-visualization, pacta, ggplot2
Last editorial update37m ago39m ago
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What is r2dii.match?

PACTA's loan-book matcher opened up to sector taxonomies other than its own.

r2dii.match links entries in a bank's loan book to companies in the asset-based company data, combining an optional exact join on a shared ID with fuzzy name matching. Since 0.3.0 the sector classification used for that matching is an explicit argument rather than a fixed default, letting institutions bring their own taxonomy. Recent releases have been documentation and messaging work under a new maintainer.

Read the full r2dii.match trajectory →

What is r2dii.plot?

PACTA's climate-alignment charting layer split prep from plotting, then settled into stable.

r2dii.plot renders the standard PACTA climate-alignment charts — trajectory, tech mix, emission intensity — as ggplot2 objects, paired with the 2DII colour palettes and theme. Since 0.4.0 the package has exposed a two-step pipeline where prep_*() shapes the data before plot_*() draws it, while qplot_*() remains the one-call convenience path. It declared itself stable in early 2025.

Read the full r2dii.plot trajectory →

r2dii.match vs r2dii.plot: editorial side-by-side

R
r2dii.match
ANALYTICS
0.0

PACTA's loan-book matcher opened up to sector taxonomies other than its own.

◆ Current state

r2dii.match links entries in a bank's loan book to companies in the asset-based company data, combining an optional exact join on a shared ID with fuzzy name matching. Since 0.3.0 the sector classification used for that matching is an explicit argument rather than a fixed default, letting institutions bring their own taxonomy. Recent releases have been documentation and messaging work under a new maintainer.

◆ Where it's heading

The package has spent its releases removing assumptions. The ald to abcd migration completed the move to the current data vocabulary, join_id gave users a way to bypass fuzzy matching where they already hold a reliable identifier, and sector_classification opened the taxonomy itself. Each of these hands control back to the user for a decision the package previously made. Activity has since shifted to hygiene — a data_dictionary describing every column, cli-based messaging, documentation edits — and the maintainer handover in 0.4.0 fits that pattern. The data_dictionary landed here two days after the same addition to r2dii.plot, so this is a family-wide convention rather than one package's idea.

◆ Prediction

With the API opened up and a new maintainer settling in, expect continued alignment work across the r2dii family rather than changes to the matching algorithm itself.

R
r2dii.plot
ANALYTICS
0.0

PACTA's climate-alignment charting layer split prep from plotting, then settled into stable.

◆ Current state

r2dii.plot renders the standard PACTA climate-alignment charts — trajectory, tech mix, emission intensity — as ggplot2 objects, paired with the 2DII colour palettes and theme. Since 0.4.0 the package has exposed a two-step pipeline where prep_*() shapes the data before plot_*() draws it, while qplot_*() remains the one-call convenience path. It declared itself stable in early 2025.

◆ Where it's heading

The package has been converging on a settled contract for years. Early releases chased visual polish and label handling, then 0.2.0 exposed the palette scales as reusable ggplot2 components, and 0.4.0 made the prepared data a first-class artefact rather than something hidden inside a plotting call. Recent releases are documentation and hygiene: a data_dictionary describing every column, definitions filled in, demo datasets renamed to say they are demos. It also moved organisations, from 2DII to RMI-PACTA, and its releases stay pinned to r2dii.analysis and to ggplot2's deprecation schedule.

◆ Prediction

With the lifecycle marked stable and the last two releases confined to dataset naming and documentation, the next release is most likely another ggplot2 compatibility pass or a sibling-package alignment rather than new chart types.

Alternatives to r2dii.match and r2dii.plot

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 r2dii.match or r2dii.plot.

See all r2dii.match alternatives → · See all r2dii.plot alternatives →

Recent activity from r2dii.match and r2dii.plot

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

  1. 1y agor2dii.plotBundled datasets renamed to mark them as demos
  2. 1y agor2dii.matchDocumentation edits and cli-based messaging
  3. 1y agor2dii.plotColumn definitions added to the data dictionary
  4. 1y agor2dii.matchData dictionary added under a new maintainer
  5. 1y agor2dii.plotData dictionary lands and the package declares itself stable
  6. 1y agor2dii.matchr2dii.match 0.3.0
  7. 2y agor2dii.matchOptional exact join by ID before fuzzy matching
  8. 2y agor2dii.plotr2dii.plot 0.4.0
  9. 2y agor2dii.matchAlias handling fixed for unusual encodings
  10. 3y agor2dii.plotPACTA colour palettes exposed as datasets after org move
  11. 4y agor2dii.plotTrajectory plots move to percentage scaling alongside r2dii.analysis
  12. 4y agor2dii.matchabcd argument supersedes ald in match_name()

Frequently asked questions

What is the difference between r2dii.match and r2dii.plot?

Both compete on the same themes — climate-finance, pacta, r-package — within Analytics. r2dii.match and r2dii.plot 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 r2dii.match better than r2dii.plot?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. r2dii.match and r2dii.plot 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 r2dii.match?

Top r2dii.match alternatives in Analytics are ranked by recent ship velocity. Browse the "r2dii.match alternatives" section above for the current picks, or visit /alternatives/r2dii-match for the full list with editorial commentary on each.

What are the best alternatives to r2dii.plot?

Top r2dii.plot alternatives in Analytics are ranked by recent ship velocity. Browse the "r2dii.plot alternatives" section above for the current picks, or visit /alternatives/r2dii-plot for the full list with editorial commentary on each.