Measure

Quartile3SkewnessOfNumericAtts

DataQuality extracted from Fantail Library

Value per dataset

MercuryinBass (1) 1.3818190862661
mv (1) 0.0043581788014688
kdd_ipums_la_98-small (1) 0.75069684395746
qqdefects_numeric (1) 1.7365819913867
gina_prior2 (1) 8.946313204344
ar1 (1) 3.6142143687329
analcatdata_challenger (2) 0.75111873352486
datatrieve (1) 3.7159815527009
puma32H (1) 0.46227753225377
kc1-top5 (1) 3.5407056305308
sylva_prior (1) 3.3008613931243
nasa_numeric (1) 4.1229361587348
mw1 (1) 3.7159815527009
mc1 (1) 3.6169638864873
ar6 (1) 3.6236625482618
glass (2) 0.74269856256337
mfeat-pixel (2) 0
soybean (2) 0
ar5 (1) 3.6086371701471
FacultySalaries (1) 1.1579376447405
Brainsize (1) 0.39680594611518
analcatdata_germangss (2) 0
kdd_ipums_la_99-small (1) 0.7797146322892
dermatology (2) 0.74993286494569
primary-tumor (2) 0
white-clover (1) 2.0369716882888
kdd_synthetic_control (1) 0.73714569728331
bridges (5) 0.7453247405186
vowel (3) 0.75018752461628
pc2 (1) 3.7296444931484
white-clover (2) 0.75018752461628
ar3 (1) 3.6086371701471
jEdit_4.0_4.2 (1) 3.7293984789917
cm1_req (1) 3.5896852417077
walking-activity (1) 1.1908008436312
sonar (1) 1.8004542312671
cylinder-bands (1) 1.5156531522368
skin-segmentation (1) -0.037671448318833
ionosphere (1) 2.1227567464585
lymph (1) 5.4423616944938
vowel (1) 2.2797792729407
colic (1) 1.2636352977287
autoUniv-au1-1000 (1) 0.34082906787449
autoUniv-au4-2500 (1) 0.26288067703913
autoUniv-au6-750 (1) 0.39741960354064
autoUniv-au7-1100 (1) 0.15893263000721
autoUniv-au7-700 (1) 0.2711791340062
autoUniv-au7-500 (1) 0.23497379156812
autoUniv-au6-1000 (1) 0.38192054436963
abalone (3) 0.71909792176127
bank-marketing (2) 5.8752586778964