Dataset name: abalone
The dataset has N=250 rows and 10 columns. 250 rows have no missing values on any column.
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#Variables
Dataset name: aciar
The dataset has N=80 rows and 6 columns. 80 rows have no missing values on any column.
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#Variables
Dataset name: amazon_top_50_books
The dataset has N=700 rows and 7 columns. 700 rows have no missing values on any column.
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#Variables
Dataset name: amylase
The dataset has N=96 rows and 17 columns. 96 rows have no missing values on any column.
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#Variables
Dataset name: antipodes
The dataset has N=127 rows and 11 columns. 127 rows have no missing values on any column.
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#Variables
Dataset name: autism
The dataset has N=206 rows and 3 columns. 206 rows have no missing values on any column.
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#Variables
Dataset name: bacteria
The dataset has N=141 rows and 3 columns. 140 rows have no missing values on any column.
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#Variables
Dataset name: bats
The dataset has N=436 rows and 6 columns. 333 rows have no missing values on any column.
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#Variables
Dataset name: biomarker
The dataset has N=206 rows and 25 columns. 206 rows have no missing values on any column.
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#Variables
Dataset name: bird_abundance
The dataset has N=40 rows and 96 columns. 40 rows have no missing values on any column.
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#Variables
Dataset name: BMI
The dataset has N=1786 rows and 3 columns. 1786 rows have no missing values on any column.
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#Variables
Dataset name: cannabis
The dataset has N=2351 rows and 6 columns. 2351 rows have no missing values on any column.
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#Variables
Dataset name: chicago
The dataset has N=5114 rows and 14 columns. 3778 rows have no missing values on any column.
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#Variables
Dataset name: condensed_order
The dataset has N=303 rows and 15 columns. 303 rows have no missing values on any column.
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#Variables
Dataset name: crd_rats_data
The dataset has N=12 rows and 3 columns. 12 rows have no missing values on any column.
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#Variables
Dataset name: darwin
The dataset has N=15 rows and 6 columns. 15 rows have no missing values on any column.
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#Variables
Dataset name: diabetes
The dataset has N=144 rows and 7 columns. 144 rows have no missing values on any column.
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#Variables
Dataset name: dicots_proportions
The dataset has N=24 rows and 42 columns. 24 rows have no missing values on any column.
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#Variables
Dataset name: dna_forensic
The dataset has N=765 rows and 16 columns. 765 rows have no missing values on any column.
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#Variables
Dataset name: ekman
The dataset has N=14 rows and 14 columns. 14 rows have no missing values on any column.
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#Variables
Dataset name: factorial_expt
The dataset has N=12 rows and 5 columns. 12 rows have no missing values on any column.
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#Variables
Dataset name: fries
The dataset has N=100 rows and 3 columns. 100 rows have no missing values on any column.
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#Variables
Dataset name: glass
The dataset has N=214 rows and 10 columns. 214 rows have no missing values on any column.
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#Variables
Dataset name: howls
The dataset has N=132 rows and 14 columns. 132 rows have no missing values on any column.
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#Variables
Dataset name: lizards
The dataset has N=216 rows and 13 columns. 72 rows have no missing values on any column.
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#Variables
Dataset name: lizards2
The dataset has N=25 rows and 4 columns. 25 rows have no missing values on any column.
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#Variables
Dataset name: lobster
The dataset has N=159 rows and 2 columns. 159 rows have no missing values on any column.
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#Variables
Dataset name: mammals
The dataset has N=2044 rows and 9 columns. 2044 rows have no missing values on any column.
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#Variables
Dataset name: mammals2
The dataset has N=322 rows and 6 columns. 322 rows have no missing values on any column.
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#Variables
Dataset name: medley
The dataset has N=34 rows and 4 columns. 34 rows have no missing values on any column.
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#Variables
Dataset name: monkey
The dataset has N=47310 rows and 5 columns. 47310 rows have no missing values on any column.
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#Variables
Dataset name: munsingen
The dataset has N=60 rows and 70 columns. 60 rows have no missing values on any column.
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#Variables
Dataset name: mussel_metabolomics
The dataset has N=19 rows and 37 columns. 19 rows have no missing values on any column.
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#Variables
Dataset name: north_islands_distances
The dataset has N=11 rows and 12 columns. 11 rows have no missing values on any column.
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#Variables
Dataset name: NZ
The dataset has N=54 rows and 9 columns. 54 rows have no missing values on any column.
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#Variables
Dataset name: open_access
The dataset has N=169 rows and 14 columns. 164 rows have no missing values on any column.
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#Variables
Dataset name: paua
The dataset has N=60 rows and 3 columns. 60 rows have no missing values on any column.
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#Variables
Dataset name: pitfalls
The dataset has N=30 rows and 8 columns. 30 rows have no missing values on any column.
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#Variables
Dataset name: plant_vigour
The dataset has N=64 rows and 4 columns. 64 rows have no missing values on any column.
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#Variables
Dataset name: pokemon
The dataset has N=1072 rows and 13 columns. 573 rows have no missing values on any column.
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#Variables
Dataset name: potato
The dataset has N=80 rows and 6 columns. 80 rows have no missing values on any column.
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#Variables
Dataset name: pumpkins
The dataset has N=17 rows and 3 columns. 17 rows have no missing values on any column.
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#Variables
Dataset name: rcbd
The dataset has N=12 rows and 5 columns. 12 rows have no missing values on any column.
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#Variables
Dataset name: repeated_measures_liver
The dataset has N=210 rows and 4 columns. 210 rows have no missing values on any column.
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#Variables
Dataset name: split_plot
The dataset has N=12 rows and 5 columns. 12 rows have no missing values on any column.
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#Variables
Dataset name: swift_kelce
The dataset has N=18 rows and 6 columns. 18 rows have no missing values on any column.
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#Variables
Dataset name: teddys
The dataset has N=395 rows and 32 columns. 76 rows have no missing values on any column.
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#Variables
Dataset name: thc
The dataset has N=84 rows and 11 columns. 38 rows have no missing values on any column.
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#Variables