Measure

Quartile1StdDevOfNumericAtts

DataQuality extracted from Fantail Library

Value per dataset

MercuryinBass (1) 0.34103562501982
mv (1) 1.8060873817739
kdd_ipums_la_98-small (1) 1.0000000068086
qqdefects_numeric (1) 40.727415921409
gina_prior2 (1) 3.7764398002652
ar1 (1) 0.31433935662111
analcatdata_challenger (2) 1.000000007786
datatrieve (1) 0.33085855309192
puma32H (1) 0.34267567325055
kc1-top5 (1) 0.30489242153396
sylva_prior (1) 0.29365586153442
nasa_numeric (1) 9.5587284068252
mw1 (1) 0.32871000929869
mc1 (1) 0.31377214715751
ar6 (1) 0.32032704369742
glass (2) 1.0000000075585
mfeat-pixel (2) 0
soybean (2) 0
ar5 (1) 0.31896403473562
FacultySalaries (1) 2.524585074516
Brainsize (1) 17.851949542778
analcatdata_germangss (2) 0
kdd_ipums_la_99-small (1) 1.0000000073278
dermatology (2) 1.000000007963
primary-tumor (2) 0
white-clover (1) 5.3774960672132
kdd_synthetic_control (1) 1.0000000079395
bridges (5) 1.0000000075401
vowel (3) 1.0000000071823
pc2 (1) 0.32813789782247
white-clover (2) 1.0000000079609
ar3 (1) 0.31637654024151
jEdit_4.0_4.2 (1) 0.32951365602624
cm1_req (1) 0.31257565409509
walking-activity (1) 2.7959189827622
sonar (1) 1.486370683116
cylinder-bands (1) 2.3479287482044
skin-segmentation (1) 59.941197173529
ionosphere (1) 0.88345849537562
lymph (1) 0.31355654268499
vowel (1) 0.99789120896611
colic (1) 3.3201893141
autoUniv-au1-1000 (1) 0.49097582106719
autoUniv-au4-2500 (1) 0.50009666929578
autoUniv-au6-750 (1) 0.18293315042378
autoUniv-au7-1100 (1) 0.54670124502437
autoUniv-au7-700 (1) 0.55831769759437
autoUniv-au7-500 (1) 0.52835592847502
autoUniv-au6-1000 (1) 0.18220595748267
abalone (3) 0.099239866133659
bank-marketing (2) 3.1098066601886