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cholera vs errors

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

cholera vs errors: at a glance

Featurecholeraerrors
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeshistorical-epidemiology, geospatial, r-package, reproducible-researchuncertainty-propagation, measurement, r-quantities, formatting
Last editorial update46m ago1h ago
WebsiteVisit →Visit →

What is cholera?

John Snow's 1854 cholera map is being rebuilt on real geographic coordinates.

cholera packages the Broad Street cholera outbreak data with tools to recompute pump neighbourhoods by Voronoi and walking distance. The last two releases carried the dataset from Snow's original plate coordinates onto georeferenced longitude and latitude, exposed through a latlong = TRUE argument on most functions. Function naming and plotting APIs are being tidied at the same pace.

Read the full cholera trajectory →

What is errors?

errors keeps making uncertainty print the way each scientific field expects.

errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.

Read the full errors trajectory →

cholera vs errors: editorial side-by-side

C
cholera
ANALYTICS
0.0

John Snow's 1854 cholera map is being rebuilt on real geographic coordinates.

◆ Current state

cholera packages the Broad Street cholera outbreak data with tools to recompute pump neighbourhoods by Voronoi and walking distance. The last two releases carried the dataset from Snow's original plate coordinates onto georeferenced longitude and latitude, exposed through a latlong = TRUE argument on most functions. Function naming and plotting APIs are being tidied at the same pace.

◆ Where it's heading

The direction is clear and sustained: convert a historical, self-referential coordinate system into one that interoperates with modern GIS. Each release extends latlong coverage to more datasets — pumps, roads, landmarks, and now the plague pit and map frame — while archiving the older prototypes. Parallelisation and the walking-distance solver were reworked along the way to keep the heavier computations usable.

◆ Prediction

Remaining non-georeferenced pieces and the archived latlong prototypes are the obvious next targets, alongside continued consolidation of the add*()/plot*() function pairs.

E
errors
ANALYTICS
0.0

errors keeps making uncertainty print the way each scientific field expects.

◆ Current state

errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.

◆ Where it's heading

Two threads run through this history. One is formatting convergence: uncertainty has field-specific conventions, and the package has been absorbing them one contributed pull request at a time rather than imposing a single style. The other is keeping the errors class first-class everywhere R users work — vctrs methods for dplyr 1.0, a geom_errors() layer for ggplot2, missing-value and duplicate handling. Both are integration work, which is what a type-extension package mostly is.

◆ Prediction

Expect further formatting conventions to arrive as contributions, following PDG rounding and the decimals option, plus continued upkeep against ggplot2 aesthetic deprecations that have forced two of the last four releases.

Alternatives to cholera and errors

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 cholera or errors.

See all cholera alternatives → · See all errors alternatives →

Recent activity from cholera and errors

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

  1. 1y agoerrorserrors 0.4.4 replaces deprecated geom_errorbarh()
  2. 1y agocholeraGeoreferences the plague pit and road segments
  3. 1y agocholeraLongitude and latitude support across nearly all data and functions
  4. 1y agoerrorserrors 0.4.3 supports decimals in parenthesis notation
  5. 2y agoerrorserrors 0.4.2 adds PDG rounding rules
  6. 2y agoerrorserrors 0.4.1 handles missing values, fixes na.rm
  7. 3y agocholeraFirst longitude/latitude prototypes and new distance functions
  8. 3y agoerrorserrors 0.4.0 adds geom_errors() for automatic errorbars
  9. 4y agocholeraAdds streetNames(); fixes Delaunay and pump-token plotting
  10. 5y agocholeraIsochrone helpers, weather data and Voronoi location options
  11. 5y agoerrorserrors 0.3.6
  12. 6y agocholeraParallel computation support on Windows

Frequently asked questions

What is the difference between cholera and errors?

They serve adjacent needs but don't currently overlap on shipped themes. cholera and errors 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 cholera better than errors?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cholera and errors 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 cholera?

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

What are the best alternatives to errors?

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