Quantitative

display_carto_all(type = "quantitative")

Colorblind friendly palettes

TealGrn

TealGrn = carto_pal(7, "TealGrn")
colorblindcheck::palette_check(TealGrn, plot = TRUE)

#>           name n tolerance ncp ndcp min_dist mean_dist max_dist
#> 1       normal 7  4.525989  21   21 4.525989  20.41736 43.86276
#> 2 deuteranopia 7  4.525989  21   19 3.678936  21.46518 45.56837
#> 3   protanopia 7  4.525989  21   19 3.011912  20.41439 43.70189
#> 4   tritanopia 7  4.525989  21   19 4.490613  14.35030 31.12904

Teal

Teal = carto_pal(7, "Teal")
colorblindcheck::palette_check(Teal, plot = TRUE)

#>           name n tolerance ncp ndcp min_dist mean_dist max_dist
#> 1       normal 7  6.862176  21   21 6.862176  23.00297 50.28819
#> 2 deuteranopia 7  6.862176  21   20 6.586668  22.69854 50.82805
#> 3   protanopia 7  6.862176  21   19 5.115249  21.91917 48.71779
#> 4   tritanopia 7  6.862176  21   20 6.680020  21.77377 47.95321

SunsetDark

SunsetDark = carto_pal(7, "SunsetDark")
colorblindcheck::palette_check(SunsetDark, plot = TRUE)

#>           name n tolerance ncp ndcp min_dist mean_dist max_dist
#> 1       normal 7  6.671338  21   21 6.671338  31.85827 71.68336
#> 2 deuteranopia 7  6.671338  21   20 6.529856  26.89899 62.60736
#> 3   protanopia 7  6.671338  21   21 8.092279  31.50976 71.15744
#> 4   tritanopia 7  6.671338  21   20 3.751602  22.68229 52.68331

Sunset

Sunset = carto_pal(7, "Sunset")
colorblindcheck::palette_check(Sunset, plot = TRUE)

#>           name n tolerance ncp ndcp  min_dist mean_dist max_dist
#> 1       normal 7  13.55652  21   21 13.556520  35.18554 67.75598
#> 2 deuteranopia 7  13.55652  21   16  4.817718  30.41789 64.35937
#> 3   protanopia 7  13.55652  21   16  6.197629  30.99078 62.74440
#> 4   tritanopia 7  13.55652  21   15  6.548290  25.97751 49.36367

RedOr

RedOr = carto_pal(7, "RedOr")
colorblindcheck::palette_check(RedOr, plot = TRUE)

#>           name n tolerance ncp ndcp min_dist mean_dist max_dist
#> 1       normal 7  8.223173  21   21 8.223173  21.81904 46.51079
#> 2 deuteranopia 7  8.223173  21   16 4.430089  15.31267 33.43432
#> 3   protanopia 7  8.223173  21   18 5.844756  21.05581 45.99601
#> 4   tritanopia 7  8.223173  21   15 5.965075  16.97291 37.03430

PurpOr

PurpOr = carto_pal(7, "PurpOr")
colorblindcheck::palette_check(PurpOr, plot = TRUE)

#>           name n tolerance ncp ndcp min_dist mean_dist max_dist
#> 1       normal 7   9.80217  21   21 9.802170  26.51601 56.36869
#> 2 deuteranopia 7   9.80217  21   18 5.842245  26.86104 58.02712
#> 3   protanopia 7   9.80217  21   17 7.408276  25.41084 55.90280
#> 4   tritanopia 7   9.80217  21   18 7.535735  24.80570 51.50918

Purp

Purp = carto_pal(7, "Purp")
colorblindcheck::palette_check(Purp, plot = TRUE)

#>           name n tolerance ncp ndcp min_dist mean_dist max_dist
#> 1       normal 7  6.622445  21   21 6.622445  19.66350 42.97008
#> 2 deuteranopia 7  6.622445  21   20 6.552324  19.64883 43.34512
#> 3   protanopia 7  6.622445  21   19 6.375359  18.72890 41.40263
#> 4   tritanopia 7  6.622445  21   18 5.440534  19.94127 43.22955

PinkYl

PinkYl = carto_pal(7, "PinkYl")
colorblindcheck::palette_check(PinkYl, plot = TRUE)

#>           name n tolerance ncp ndcp min_dist mean_dist max_dist
#> 1       normal 7  8.848948  21   21 8.848948  26.35793 55.69140
#> 2 deuteranopia 7  8.848948  21   13 3.949366  13.35798 28.45087
#> 3   protanopia 7  8.848948  21   17 4.976601  20.65887 45.56306
#> 4   tritanopia 7  8.848948  21   16 5.085890  17.79717 37.74187

Peach

Peach = carto_pal(7, "Peach")
colorblindcheck::palette_check(Peach, plot = TRUE)

#>           name n tolerance ncp ndcp min_dist mean_dist max_dist
#> 1       normal 7   6.16765  21   21 6.167650  16.86487 36.14542
#> 2 deuteranopia 7   6.16765  21   15 4.245641  11.71132 25.83392
#> 3   protanopia 7   6.16765  21   17 5.268062  16.00891 35.09700
#> 4   tritanopia 7   6.16765  21   18 6.019857  16.27539 35.20418

OrYel

OrYel = carto_pal(7, "OrYel")
colorblindcheck::palette_check(OrYel, plot = TRUE)

#>           name n tolerance ncp ndcp min_dist mean_dist max_dist
#> 1       normal 7  7.124452  21   21 7.124452 21.637876 45.72253
#> 2 deuteranopia 7  7.124452  21   12 3.128252  9.203966 19.66362
#> 3   protanopia 7  7.124452  21   16 4.875324 15.048204 32.20346
#> 4   tritanopia 7  7.124452  21   16 3.463169 15.280775 32.72327

Mint

Mint = carto_pal(7, "Mint")
colorblindcheck::palette_check(Mint, plot = TRUE)

#>           name n tolerance ncp ndcp min_dist mean_dist max_dist
#> 1       normal 7  8.183972  21   21 8.183972  23.74098 52.40978
#> 2 deuteranopia 7  8.183972  21   20 7.918225  23.97997 54.02411
#> 3   protanopia 7  8.183972  21   18 6.090769  22.20069 49.80076
#> 4   tritanopia 7  8.183972  21   21 8.334030  23.52143 50.98059

Magenta

Magenta = carto_pal(7, "Magenta")
colorblindcheck::palette_check(Magenta, plot = TRUE)

#>           name n tolerance ncp ndcp min_dist mean_dist max_dist
#> 1       normal 7  8.634503  21   21 8.634503  24.48868 56.17640
#> 2 deuteranopia 7  8.634503  21   19 6.240005  23.83291 54.77806
#> 3   protanopia 7  8.634503  21   18 7.367580  25.13488 59.43953
#> 4   tritanopia 7  8.634503  21   19 7.951172  23.44744 53.69520

Emrld

Emrld = carto_pal(7, "Emrld")
colorblindcheck::palette_check(Emrld, plot = TRUE)

#>           name n tolerance ncp ndcp min_dist mean_dist max_dist
#> 1       normal 7  8.861165  21   21 8.861165  31.95098 68.80566
#> 2 deuteranopia 7  8.861165  21   19 6.503686  32.48570 70.48066
#> 3   protanopia 7  8.861165  21   19 4.667245  31.24464 67.05621
#> 4   tritanopia 7  8.861165  21   20 8.081308  27.48230 59.77307

DarkMint

DarkMint = carto_pal(7, "DarkMint")
colorblindcheck::palette_check(DarkMint, plot = TRUE)

#>           name n tolerance ncp ndcp min_dist mean_dist max_dist
#> 1       normal 7  9.080145  21   21 9.080145  29.83704 67.63179
#> 2 deuteranopia 7  9.080145  21   20 9.076035  30.00635 68.69055
#> 3   protanopia 7  9.080145  21   20 8.478984  29.20026 65.84099
#> 4   tritanopia 7  9.080145  21   19 8.670233  26.58184 60.00357

BurgYl

BurgYl = carto_pal(7, "BurgYl")
colorblindcheck::palette_check(BurgYl, plot = TRUE)

#>           name n tolerance ncp ndcp min_dist mean_dist max_dist
#> 1       normal 7  7.593621  21   21 7.593621  28.83648 64.07379
#> 2 deuteranopia 7  7.593621  21   19 6.601211  24.18231 55.87988
#> 3   protanopia 7  7.593621  21   21 8.090984  27.71622 65.09348
#> 4   tritanopia 7  7.593621  21   19 6.308693  25.28367 57.67424

Burg

Burg = carto_pal(7, "Burg")
colorblindcheck::palette_check(Burg, plot = TRUE)

#>           name n tolerance ncp ndcp min_dist mean_dist max_dist
#> 1       normal 7   8.15224  21   21 8.152240  25.13510 58.32481
#> 2 deuteranopia 7   8.15224  21   19 6.282657  24.25541 56.24346
#> 3   protanopia 7   8.15224  21   19 6.549891  25.87252 62.30903
#> 4   tritanopia 7   8.15224  21   21 8.217553  24.37281 56.35172

BrwnYl

BrwnYl = carto_pal(7, "BrwnYl")
colorblindcheck::palette_check(BrwnYl, plot = TRUE)

#>           name n tolerance ncp ndcp  min_dist mean_dist max_dist
#> 1       normal 7  11.09279  21   21 11.092795  32.40575 71.82486
#> 2 deuteranopia 7  11.09279  21   18  7.770323  28.25186 64.83553
#> 3   protanopia 7  11.09279  21   18  8.918230  31.09327 71.87131
#> 4   tritanopia 7  11.09279  21   17 10.452544  28.96021 66.83156

BluYl

BluYl = carto_pal(7, "BluYl")
colorblindcheck::palette_check(BluYl, plot = TRUE)

#>           name n tolerance ncp ndcp  min_dist mean_dist max_dist
#> 1       normal 7  11.39398  21   21 11.393982  31.96155 68.18041
#> 2 deuteranopia 7  11.39398  21   17  8.779715  32.49931 70.54182
#> 3   protanopia 7  11.39398  21   18  6.842825  30.33416 65.82140
#> 4   tritanopia 7  11.39398  21   16  8.365870  26.24824 55.78708

BluGrn

BluGrn = carto_pal(7, "BluGrn")
colorblindcheck::palette_check(BluGrn, plot = TRUE)

#>           name n tolerance ncp ndcp min_dist mean_dist max_dist
#> 1       normal 7  7.171832  21   21 7.171832  25.39330 55.01384
#> 2 deuteranopia 7  7.171832  21   19 6.543992  25.68916 56.90337
#> 3   protanopia 7  7.171832  21   19 6.098638  24.69452 54.01651
#> 4   tritanopia 7  7.171832  21   21 7.436599  22.53958 50.01628

Diverging

display_carto_all(type = "diverging")

Colorblind friendly palettes

Earth

Earth = carto_pal(7, "Earth")
colorblindcheck::palette_check(Earth, plot = TRUE)

#>           name n tolerance ncp ndcp  min_dist mean_dist max_dist
#> 1       normal 7   12.5245  21   21 12.524500  27.12465 42.52298
#> 2 deuteranopia 7   12.5245  21   19  9.836314  26.00989 45.67681
#> 3   protanopia 7   12.5245  21   17 10.737623  24.63111 40.05255
#> 4   tritanopia 7   12.5245  21   20 11.551740  30.63456 48.25222

ArmyRose

ArmyRose = carto_pal(7, "ArmyRose")
colorblindcheck::palette_check(ArmyRose, plot = TRUE)

#>           name n tolerance ncp ndcp  min_dist mean_dist max_dist
#> 1       normal 7  10.75289  21   21 10.752894  31.11200 49.52187
#> 2 deuteranopia 7  10.75289  21   17  8.752870  17.58832 35.99437
#> 3   protanopia 7  10.75289  21   21 11.429036  22.62514 36.69118
#> 4   tritanopia 7  10.75289  21   20  9.519174  23.07556 37.83034

Geyser

Geyser = carto_pal(7, "Geyser")
colorblindcheck::palette_check(Geyser, plot = TRUE)

#>           name n tolerance ncp ndcp  min_dist mean_dist max_dist
#> 1       normal 7  13.88224  21   21 13.882238  30.98809 48.71079
#> 2 deuteranopia 7  13.88224  21   16  9.246076  23.10743 45.43465
#> 3   protanopia 7  13.88224  21   16  7.263361  21.45174 38.13983
#> 4   tritanopia 7  13.88224  21   18 12.624682  34.50760 58.13490

Other

Tropic

Tropic = carto_pal(7, "Tropic")
colorblindcheck::palette_check(Tropic, plot = TRUE)

#>           name n tolerance ncp ndcp min_dist mean_dist max_dist
#> 1       normal 7  8.818466  21   21 8.818466  30.64224 48.18967
#> 2 deuteranopia 7  8.818466  21   16 1.299920  14.01971 30.50393
#> 3   protanopia 7  8.818466  21   16 5.825911  16.47466 37.82262
#> 4   tritanopia 7  8.818466  21   20 8.078213  35.46264 66.78515

Temps

Temps = carto_pal(7, "Temps")
colorblindcheck::palette_check(Temps, plot = TRUE)

#>           name n tolerance ncp ndcp  min_dist mean_dist max_dist
#> 1       normal 7  15.00693  21   21 15.006928  37.11484 67.19813
#> 2 deuteranopia 7  15.00693  21   12  5.280416  18.96737 42.01367
#> 3   protanopia 7  15.00693  21   12  2.708943  19.86819 42.73267
#> 4   tritanopia 7  15.00693  21   17  7.815793  36.11531 64.43239

TealRose

TealRose = carto_pal(7, "TealRose")
colorblindcheck::palette_check(TealRose, plot = TRUE)

#>           name n tolerance ncp ndcp  min_dist mean_dist max_dist
#> 1       normal 7  11.77803  21   21 11.778027  32.65683 58.37099
#> 2 deuteranopia 7  11.77803  21   16  5.060102  17.34755 38.50320
#> 3   protanopia 7  11.77803  21   12  1.372032  16.63210 39.68967
#> 4   tritanopia 7  11.77803  21   20  8.874624  33.14922 60.27321

Fall

Fall = carto_pal(7, "Fall")
colorblindcheck::palette_check(Fall, plot = TRUE)

#>           name n tolerance ncp ndcp  min_dist mean_dist max_dist
#> 1       normal 7  13.76708  21   21 13.767081  30.25280 50.40550
#> 2 deuteranopia 7  13.76708  21   15  8.026617  22.24685 50.19581
#> 3   protanopia 7  13.76708  21   15  4.956151  21.68845 47.76283
#> 4   tritanopia 7  13.76708  21   20 12.624682  31.40722 55.83232

Qualitative

display_carto_all(type = "qualitative")

Colorblind friendly palettes

Safe

Safe = carto_pal(7, "Safe")
colorblindcheck::palette_check(Safe, plot = TRUE)

#>           name n tolerance ncp ndcp  min_dist mean_dist max_dist
#> 1       normal 7  19.81317  21   21 19.813167  44.29825 83.53756
#> 2 deuteranopia 7  19.81317  21   18 10.762263  34.93196 79.44862
#> 3   protanopia 7  19.81317  21   18  5.766448  34.91517 76.03409
#> 4   tritanopia 7  19.81317  21   20 11.649905  40.28392 68.21656

Other

Vivid

Vivid = carto_pal(7, "Vivid")
colorblindcheck::palette_check(Vivid, plot = TRUE)

#>           name n tolerance ncp ndcp  min_dist mean_dist max_dist
#> 1       normal 7  19.09441  21   21 19.094412  38.74835 75.06609
#> 2 deuteranopia 7  19.09441  21   15  6.198432  28.21671 58.54371
#> 3   protanopia 7  19.09441  21   17  2.760351  29.27414 58.65574
#> 4   tritanopia 7  19.09441  21   17 10.561731  34.24638 66.35274

Prism

Prism = carto_pal(7, "Prism")
colorblindcheck::palette_check(Prism, plot = TRUE)

#>           name n tolerance ncp ndcp  min_dist mean_dist max_dist
#> 1       normal 7  18.70177  21   21 18.701769  36.68691 67.26953
#> 2 deuteranopia 7  18.70177  21   18  4.108265  31.85911 66.56869
#> 3   protanopia 7  18.70177  21   16  6.460115  31.21851 64.38565
#> 4   tritanopia 7  18.70177  21   16  9.007619  29.53662 54.88382

Pastel

Pastel = carto_pal(7, "Pastel")
colorblindcheck::palette_check(Pastel, plot = TRUE)

#>           name n tolerance ncp ndcp  min_dist mean_dist max_dist
#> 1       normal 7  18.11564  21   21 18.115642  33.19801 63.55396
#> 2 deuteranopia 7  18.11564  21   13  2.377127  25.32044 48.77099
#> 3   protanopia 7  18.11564  21   14  0.332895  24.93691 47.03721
#> 4   tritanopia 7  18.11564  21   13  9.922699  28.57479 57.00884

Bold

Bold = carto_pal(7, "Bold")
colorblindcheck::palette_check(Bold, plot = TRUE)

#>           name n tolerance ncp ndcp  min_dist mean_dist max_dist
#> 1       normal 7  16.72723  21   21 16.727231  44.47418 76.61599
#> 2 deuteranopia 7  16.72723  21   14  4.717364  30.12514 65.77121
#> 3   protanopia 7  16.72723  21   16  7.568855  32.18689 65.93970
#> 4   tritanopia 7  16.72723  21   20 11.373456  38.64371 67.87750

Antique

Antique = carto_pal(7, "Antique")
colorblindcheck::palette_check(Antique, plot = TRUE)

#>           name n tolerance ncp ndcp  min_dist mean_dist max_dist
#> 1       normal 7  10.70734  21   21 10.707344  27.24781 50.59054
#> 2 deuteranopia 7  10.70734  21   16  4.110076  22.83042 50.26350
#> 3   protanopia 7  10.70734  21   17  3.730907  21.98242 49.36000
#> 4   tritanopia 7  10.70734  21   19  9.505846  23.57850 46.39265

Aggregation

display_carto_all(type = "aggregation")

Colorblind friendly palettes

ag_Sunset

ag_Sunset = carto_pal(7, "ag_Sunset")
colorblindcheck::palette_check(ag_Sunset, plot = TRUE)

#>           name n tolerance ncp ndcp  min_dist mean_dist max_dist
#> 1       normal 7  11.29042  21   21 11.290421  37.45088 75.02318
#> 2 deuteranopia 7  11.29042  21   18  6.945054  35.52877 72.37286
#> 3   protanopia 7  11.29042  21   17  5.889912  34.43109 70.43866
#> 4   tritanopia 7  11.29042  21   19  6.125403  28.91659 57.75962

ag_GrnYl

ag_GrnYl = carto_pal(7, "ag_GrnYl")
colorblindcheck::palette_check(ag_GrnYl, plot = TRUE)

#>           name n tolerance ncp ndcp  min_dist mean_dist max_dist
#> 1       normal 7  11.29211  21   21 11.292112  31.02678 64.17769
#> 2 deuteranopia 7  11.29211  21   17  8.063681  31.13498 65.95512
#> 3   protanopia 7  11.29211  21   17  6.364113  28.99400 61.68246
#> 4   tritanopia 7  11.29211  21   17  8.017867  26.51521 56.48330