Overview

Brought to you by YData

Dataset statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Number of variables3030
Number of observations8678012560
Missing cells13140120212
Missing cells (%)5.0%5.4%
Total size in memory13.0 MiB1.9 MiB
Average record size in memory157.0 B157.2 B

Variable types

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Categorical1313
Text44
Numeric1313

Alerts

Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Readmitted within 30 Days_Value has constant value "0"Readmitted within 30 Days_Value has constant value "1"Constant
A1Cresult is highly imbalanced (53.9%)A1Cresult is highly imbalanced (58.1%)Imbalance
admission_type_id is highly imbalanced (50.5%)Alert not present in this datasetImbalance
metformin is highly imbalanced (58.6%)metformin is highly imbalanced (62.5%)Imbalance
race is highly imbalanced (55.5%)race is highly imbalanced (57.9%)Imbalance
Race is highly imbalanced (55.5%)Race is highly imbalanced (57.9%)Imbalance
A1C is highly imbalanced (53.9%)A1C is highly imbalanced (58.1%)Imbalance
Taking Metformin is highly imbalanced (58.6%)Taking Metformin is highly imbalanced (62.5%)Imbalance
CaseManager_Feedback_30day_30_80_Threshold_Clarity has 19329 (22.3%) missing valuesCaseManager_Feedback_30day_30_80_Threshold_Clarity has 3081 (24.5%) missing valuesMissing
CaseManager_Feedback_30day_30_80_Threshold_Effectiveness has 32053 (36.9%) missing valuesCaseManager_Feedback_30day_30_80_Threshold_Effectiveness has 5201 (41.4%) missing valuesMissing
CaseManager_Feedback_30day_30_80_Threshold_Impact has 32565 (37.5%) missing valuesCaseManager_Feedback_30day_30_80_Threshold_Impact has 4994 (39.8%) missing valuesMissing
PatientSatisfaction_ReadmissionFollowup has 47454 (54.7%) missing valuesPatientSatisfaction_ReadmissionFollowup has 6936 (55.2%) missing valuesMissing
ExpectedHospitalStay has unique valuesAlert not present in this datasetUnique
RiskLongStay has unique valuesRiskLongStay has unique valuesUnique
num_procedures has 39941 (46.0%) zerosnum_procedures has 5738 (45.7%) zerosZeros
Readmitted within 30 Days_Value has 86780 (100.0%) zerosAlert not present in this datasetZeros
Readmitted (Any)_Value has 52524 (60.5%) zerosAlert not present in this datasetZeros
Long Hospital Stay (>7 days)_Value has 74296 (85.6%) zerosLong Hospital Stay (>7 days)_Value has 10333 (82.3%) zerosZeros
Taking Metformin_Value has 68551 (79.0%) zerosTaking Metformin_Value has 10307 (82.1%) zerosZeros
Alert not present in this datasetReadmitted (Any)_Value has constant value "1"Constant
Alert not present in this datasetRisk30DayReadmission has unique valuesUnique
Alert not present in this datasetRiskAnyReadmission has unique valuesUnique

Reproduction

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Analysis started2025-09-25 18:21:39.8950222025-09-25 18:21:40.510377
Analysis finished2025-09-25 18:21:40.5078072025-09-25 18:21:40.674633
Duration0.61 seconds0.16 seconds
Software versionydata-profiling vv4.17.0ydata-profiling vv4.17.0
Download configurationconfig.jsonconfig.json

Variables

A1Cresult
Categorical

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct44
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Memory size762.9 KiB110.6 KiB
None
71835 
>8
7216 
Norm
 
4390
>7
 
3339
None
10671 
>8
 
921
Norm
 
532
>7
 
436

Unique

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
1st rowNoneNorm
2nd rowNoneNone
3rd rowNorm>8
4th row>7None
5th rowNoneNone

Common Values

ValueCountFrequency (%)
None71835
82.8%
>87216
 
8.3%
Norm4390
 
5.1%
>73339
 
3.8%
ValueCountFrequency (%)
None10671
85.0%
>8921
 
7.3%
Norm532
 
4.2%
>7436
 
3.5%

Common Values (Plot)

Readmitted within 30 Days_Value=0

2025-09-25T18:21:41.052259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Readmitted within 30 Days_Value=1

2025-09-25T18:21:41.100719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct55
Distinct (%)< 0.1%0.1%
Missing193293081
Missing (%)22.3%24.5%
Memory size1.3 MiB196.2 KiB
2025-09-25T18:21:41.234054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Max length99
Median length77
Mean length6.56.5
Min length44

Characters and Unicode

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Total characters43825462032
Distinct characters1818
Distinct categories11 ?
Distinct scripts11 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
1st rowVery PoorGood
2nd rowNeutralNeutral
3rd rowPoorExcellent
4th rowNeutralExcellent
5th rowPoorExcellent
ValueCountFrequency (%)
good21919
29.7%
excellent19508
26.4%
poor13174
17.8%
neutral12850
17.4%
very6472
 
8.8%
ValueCountFrequency (%)
good3033
29.3%
excellent2909
28.1%
poor1785
17.3%
neutral1752
16.9%
very863
 
8.3%
2025-09-25T18:21:41.455415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o70186
 
16.0%
e58338
 
13.3%
l51866
 
11.8%
r32496
 
7.4%
t32358
 
7.4%
Other values (13)193010
44.0%
ValueCountFrequency (%)
o9636
 
15.5%
e8433
 
13.6%
l7570
 
12.2%
t4661
 
7.5%
r4400
 
7.1%
Other values (13)27332
44.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)438254
100.0%
ValueCountFrequency (%)
(unknown)62032
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o70186
 
16.0%
e58338
 
13.3%
l51866
 
11.8%
r32496
 
7.4%
t32358
 
7.4%
Other values (13)193010
44.0%
ValueCountFrequency (%)
o9636
 
15.5%
e8433
 
13.6%
l7570
 
12.2%
t4661
 
7.5%
r4400
 
7.1%
Other values (13)27332
44.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)438254
100.0%
ValueCountFrequency (%)
(unknown)62032
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o70186
 
16.0%
e58338
 
13.3%
l51866
 
11.8%
r32496
 
7.4%
t32358
 
7.4%
Other values (13)193010
44.0%
ValueCountFrequency (%)
o9636
 
15.5%
e8433
 
13.6%
l7570
 
12.2%
t4661
 
7.5%
r4400
 
7.1%
Other values (13)27332
44.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)438254
100.0%
ValueCountFrequency (%)
(unknown)62032
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o70186
 
16.0%
e58338
 
13.3%
l51866
 
11.8%
r32496
 
7.4%
t32358
 
7.4%
Other values (13)193010
44.0%
ValueCountFrequency (%)
o9636
 
15.5%
e8433
 
13.6%
l7570
 
12.2%
t4661
 
7.5%
r4400
 
7.1%
Other values (13)27332
44.1%
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct55
Distinct (%)< 0.1%0.1%
Missing320535201
Missing (%)36.9%41.4%
Memory size1.3 MiB196.2 KiB
2025-09-25T18:21:41.595596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Max length99
Median length77
Mean length6.56.5
Min length44

Characters and Unicode

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Total characters35638847985
Distinct characters1818
Distinct categories11 ?
Distinct scripts11 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
1st rowGoodGood
2nd rowExcellentExcellent
3rd rowNeutralPoor
4th rowExcellentPoor
5th rowGoodNeutral
ValueCountFrequency (%)
good17444
29.1%
excellent15712
26.2%
poor10796
18.0%
neutral10775
17.9%
very5319
 
8.9%
ValueCountFrequency (%)
good2363
29.4%
excellent2119
26.3%
neutral1503
18.7%
poor1374
17.1%
very689
 
8.6%
2025-09-25T18:21:41.808271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o56480
 
15.8%
e47518
 
13.3%
l42199
 
11.8%
r26890
 
7.5%
t26487
 
7.4%
Other values (13)156814
44.0%
ValueCountFrequency (%)
o7474
 
15.6%
e6430
 
13.4%
l5741
 
12.0%
t3622
 
7.5%
r3566
 
7.4%
Other values (13)21152
44.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)356388
100.0%
ValueCountFrequency (%)
(unknown)47985
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o56480
 
15.8%
e47518
 
13.3%
l42199
 
11.8%
r26890
 
7.5%
t26487
 
7.4%
Other values (13)156814
44.0%
ValueCountFrequency (%)
o7474
 
15.6%
e6430
 
13.4%
l5741
 
12.0%
t3622
 
7.5%
r3566
 
7.4%
Other values (13)21152
44.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)356388
100.0%
ValueCountFrequency (%)
(unknown)47985
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o56480
 
15.8%
e47518
 
13.3%
l42199
 
11.8%
r26890
 
7.5%
t26487
 
7.4%
Other values (13)156814
44.0%
ValueCountFrequency (%)
o7474
 
15.6%
e6430
 
13.4%
l5741
 
12.0%
t3622
 
7.5%
r3566
 
7.4%
Other values (13)21152
44.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)356388
100.0%
ValueCountFrequency (%)
(unknown)47985
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o56480
 
15.8%
e47518
 
13.3%
l42199
 
11.8%
r26890
 
7.5%
t26487
 
7.4%
Other values (13)156814
44.0%
ValueCountFrequency (%)
o7474
 
15.6%
e6430
 
13.4%
l5741
 
12.0%
t3622
 
7.5%
r3566
 
7.4%
Other values (13)21152
44.1%
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct55
Distinct (%)< 0.1%0.1%
Missing325654994
Missing (%)37.5%39.8%
Memory size1.3 MiB196.2 KiB
2025-09-25T18:21:41.948730image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Max length99
Median length77
Mean length6.56.5
Min length44

Characters and Unicode

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Total characters35273349489
Distinct characters1818
Distinct categories11 ?
Distinct scripts11 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
1st rowExcellentVery Poor
2nd rowNeutralGood
3rd rowGoodNeutral
4th rowGoodGood
5th rowVery PoorNeutral
ValueCountFrequency (%)
good17386
29.2%
excellent15443
25.9%
poor10765
18.1%
neutral10621
17.8%
very5359
 
9.0%
ValueCountFrequency (%)
good2429
29.5%
excellent2337
28.4%
neutral1420
17.3%
poor1380
16.8%
very656
 
8.0%
2025-09-25T18:21:42.164279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o56302
 
16.0%
e46866
 
13.3%
l41507
 
11.8%
r26745
 
7.6%
t26064
 
7.4%
Other values (13)155249
44.0%
ValueCountFrequency (%)
o7618
 
15.4%
e6750
 
13.6%
l6094
 
12.3%
t3757
 
7.6%
r3456
 
7.0%
Other values (13)21814
44.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)352733
100.0%
ValueCountFrequency (%)
(unknown)49489
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o56302
 
16.0%
e46866
 
13.3%
l41507
 
11.8%
r26745
 
7.6%
t26064
 
7.4%
Other values (13)155249
44.0%
ValueCountFrequency (%)
o7618
 
15.4%
e6750
 
13.6%
l6094
 
12.3%
t3757
 
7.6%
r3456
 
7.0%
Other values (13)21814
44.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)352733
100.0%
ValueCountFrequency (%)
(unknown)49489
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o56302
 
16.0%
e46866
 
13.3%
l41507
 
11.8%
r26745
 
7.6%
t26064
 
7.4%
Other values (13)155249
44.0%
ValueCountFrequency (%)
o7618
 
15.4%
e6750
 
13.6%
l6094
 
12.3%
t3757
 
7.6%
r3456
 
7.0%
Other values (13)21814
44.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)352733
100.0%
ValueCountFrequency (%)
(unknown)49489
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o56302
 
16.0%
e46866
 
13.3%
l41507
 
11.8%
r26745
 
7.6%
t26064
 
7.4%
Other values (13)155249
44.0%
ValueCountFrequency (%)
o7618
 
15.4%
e6750
 
13.6%
l6094
 
12.3%
t3757
 
7.6%
r3456
 
7.0%
Other values (13)21814
44.1%

ExpectedHospitalStay
Real number (ℝ)

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct8678012559
Distinct (%)100.0%> 99.9%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean4.34.7
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum0.570.65
Maximum1313
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size1.3 MiB196.2 KiB
2025-09-25T18:21:42.279402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum0.570.65
5-th percentile1.92.1
Q12.93.3
median3.94.4
Q35.45.8
95-th percentile8.28.7
Maximum1313
Range1313
Interquartile range (IQR)2.52.6

Descriptive statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Standard deviation1.92
Coefficient of variation (CV)0.450.42
Kurtosis0.580.38
Mean4.34.7
Median Absolute Deviation (MAD)1.21.3
Skewness0.940.83
Sum3.8 × 1056 × 104
Variance3.74
MonotonicityNot monotonicNot monotonic
2025-09-25T18:21:42.426721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0045878611
 
< 0.1%
7.4206196881
 
< 0.1%
4.7635349191
 
< 0.1%
8.1155947741
 
< 0.1%
10.854278211
 
< 0.1%
Other values (86775)86775
> 99.9%
ValueCountFrequency (%)
1.6864070992
 
< 0.1%
3.7216118041
 
< 0.1%
3.9939556211
 
< 0.1%
3.3340049031
 
< 0.1%
3.4641216491
 
< 0.1%
Other values (12554)12554
> 99.9%
ValueCountFrequency (%)
0.56656170941
< 0.1%
0.6388334111
< 0.1%
0.70743187271
< 0.1%
0.70828869941
< 0.1%
0.7165622321
< 0.1%
ValueCountFrequency (%)
0.65240521991
< 0.1%
0.75405913121
< 0.1%
0.82292848321
< 0.1%
0.82667693181
< 0.1%
0.85976592581
< 0.1%
ValueCountFrequency (%)
0.65240521991
< 0.1%
0.75405913121
< 0.1%
0.82292848321
< 0.1%
0.82667693181
< 0.1%
0.85976592581
< 0.1%
ValueCountFrequency (%)
0.56656170941
< 0.1%
0.6388334111
< 0.1%
0.70743187271
< 0.1%
0.70828869941
< 0.1%
0.7165622321
< 0.1%
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct55
Distinct (%)< 0.1%0.1%
Missing474546936
Missing (%)54.7%55.2%
Memory size1.3 MiB196.2 KiB
2025-09-25T18:21:42.599917image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Max length99
Median length77
Mean length6.56.5
Min length44

Characters and Unicode

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Total characters25566036579
Distinct characters1818
Distinct categories11 ?
Distinct scripts11 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
1st rowNeutralGood
2nd rowExcellentPoor
3rd rowGoodExcellent
4th rowVery PoorPoor
5th rowNeutralVery Poor
ValueCountFrequency (%)
poor10265
23.3%
good10235
23.2%
neutral9822
22.3%
excellent9004
20.4%
very4774
10.8%
ValueCountFrequency (%)
neutral1506
23.9%
poor1442
22.9%
good1428
22.7%
excellent1248
19.8%
very665
10.6%
2025-09-25T18:21:42.822231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o41000
 
16.0%
e32604
 
12.8%
l27830
 
10.9%
r24861
 
9.7%
t18826
 
7.4%
Other values (13)110539
43.2%
ValueCountFrequency (%)
o5740
 
15.7%
e4667
 
12.8%
l4002
 
10.9%
r3613
 
9.9%
t2754
 
7.5%
Other values (13)15803
43.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)255660
100.0%
ValueCountFrequency (%)
(unknown)36579
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o41000
 
16.0%
e32604
 
12.8%
l27830
 
10.9%
r24861
 
9.7%
t18826
 
7.4%
Other values (13)110539
43.2%
ValueCountFrequency (%)
o5740
 
15.7%
e4667
 
12.8%
l4002
 
10.9%
r3613
 
9.9%
t2754
 
7.5%
Other values (13)15803
43.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)255660
100.0%
ValueCountFrequency (%)
(unknown)36579
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o41000
 
16.0%
e32604
 
12.8%
l27830
 
10.9%
r24861
 
9.7%
t18826
 
7.4%
Other values (13)110539
43.2%
ValueCountFrequency (%)
o5740
 
15.7%
e4667
 
12.8%
l4002
 
10.9%
r3613
 
9.9%
t2754
 
7.5%
Other values (13)15803
43.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)255660
100.0%
ValueCountFrequency (%)
(unknown)36579
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o41000
 
16.0%
e32604
 
12.8%
l27830
 
10.9%
r24861
 
9.7%
t18826
 
7.4%
Other values (13)110539
43.2%
ValueCountFrequency (%)
o5740
 
15.7%
e4667
 
12.8%
l4002
 
10.9%
r3613
 
9.9%
t2754
 
7.5%
Other values (13)15803
43.2%

Risk30DayReadmission
Real number (ℝ)

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct8672312560
Distinct (%)99.9%100.0%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.10.18
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum0.0160.021
Maximum0.620.82
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size1.3 MiB196.2 KiB
2025-09-25T18:21:42.937294image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum0.0160.021
5-th percentile0.040.061
Q10.0640.1
median0.0890.15
Q30.130.22
95-th percentile0.220.39
Maximum0.620.82
Range0.60.8
Interquartile range (IQR)0.0670.12

Descriptive statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Standard deviation0.0590.11
Coefficient of variation (CV)0.570.6
Kurtosis5.23
Mean0.10.18
Median Absolute Deviation (MAD)0.0310.059
Skewness1.81.5
Sum9.1 × 1032.2 × 103
Variance0.00350.011
MonotonicityNot monotonicNot monotonic
2025-09-25T18:21:43.087026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.023527511516
 
< 0.1%
0.022526796754
 
< 0.1%
0.021966215923
 
< 0.1%
0.021030478783
 
< 0.1%
0.079530609273
 
< 0.1%
Other values (86718)86761
> 99.9%
ValueCountFrequency (%)
0.082843253011
 
< 0.1%
0.33922961321
 
< 0.1%
0.18699568541
 
< 0.1%
0.33871669241
 
< 0.1%
0.079334782531
 
< 0.1%
Other values (12555)12555
> 99.9%
ValueCountFrequency (%)
0.015524674631
< 0.1%
0.015712900721
< 0.1%
0.016354168761
< 0.1%
0.01723173911
< 0.1%
0.017359795611
< 0.1%
ValueCountFrequency (%)
0.020605706341
< 0.1%
0.023273143671
< 0.1%
0.025154211911
< 0.1%
0.025681446551
< 0.1%
0.026110838741
< 0.1%
ValueCountFrequency (%)
0.020605706341
< 0.1%
0.023273143671
< 0.1%
0.025154211911
< 0.1%
0.025681446551
< 0.1%
0.026110838741
< 0.1%
ValueCountFrequency (%)
0.015524674631
< 0.1%
0.015712900721
< 0.1%
0.016354168761
< 0.1%
0.01723173911
< 0.1%
0.017359795611
< 0.1%
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct6177
Distinct (%)0.1%0.6%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean1017
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum12
Maximum6182
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size1.3 MiB196.2 KiB
2025-09-25T18:21:43.233707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum12
5-th percentile46
Q169
median815
Q31322
95-th percentile2138
Maximum6182
Range6080
Interquartile range (IQR)713

Descriptive statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Standard deviation5.911
Coefficient of variation (CV)0.60.61
Kurtosis5.13
Mean1017
Median Absolute Deviation (MAD)36
Skewness1.81.5
Sum8.7 × 1052.2 × 105
Variance351.1 × 102
MonotonicityNot monotonicNot monotonic
2025-09-25T18:21:43.382820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69051
 
10.4%
78533
 
9.8%
58109
 
9.3%
87734
 
8.9%
96600
 
7.6%
Other values (56)46753
53.9%
ValueCountFrequency (%)
8710
 
5.7%
9701
 
5.6%
10647
 
5.2%
11622
 
5.0%
7621
 
4.9%
Other values (72)9259
73.7%
ValueCountFrequency (%)
147
 
0.1%
21037
 
1.2%
33202
 
3.7%
46078
7.0%
58109
9.3%
ValueCountFrequency (%)
210
 
0.1%
355
 
0.4%
4174
 
1.4%
5331
2.6%
6542
4.3%
ValueCountFrequency (%)
210
 
< 0.1%
355
 
0.1%
4174
 
0.2%
5331
0.4%
6542
0.6%
ValueCountFrequency (%)
147
 
0.4%
21037
 
8.3%
33202
 
25.5%
46078
48.4%
58109
64.6%

RiskAnyReadmission
Real number (ℝ)

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct8677712560
Distinct (%)> 99.9%100.0%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.460.56
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum0.0430.081
Maximum0.970.97
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size1.3 MiB196.2 KiB
2025-09-25T18:21:43.533095image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum0.0430.081
5-th percentile0.170.25
Q10.310.42
median0.450.58
Q30.60.7
95-th percentile0.760.85
Maximum0.970.97
Range0.930.89
Interquartile range (IQR)0.290.28

Descriptive statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Standard deviation0.180.18
Coefficient of variation (CV)0.40.33
Kurtosis-0.81-0.73
Mean0.460.56
Median Absolute Deviation (MAD)0.140.14
Skewness0.14-0.13
Sum4 × 1047 × 103
Variance0.0340.033
MonotonicityNot monotonicNot monotonic
2025-09-25T18:21:43.681518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.54726442772
 
< 0.1%
0.63613439632
 
< 0.1%
0.68854469232
 
< 0.1%
0.33662078311
 
< 0.1%
0.47694173251
 
< 0.1%
Other values (86772)86772
> 99.9%
ValueCountFrequency (%)
0.32858635061
 
< 0.1%
0.71617589131
 
< 0.1%
0.31437089721
 
< 0.1%
0.82933639311
 
< 0.1%
0.14072655091
 
< 0.1%
Other values (12555)12555
> 99.9%
ValueCountFrequency (%)
0.042914160721
< 0.1%
0.047188465631
< 0.1%
0.050530594961
< 0.1%
0.053423416331
< 0.1%
0.054997311731
< 0.1%
ValueCountFrequency (%)
0.081024071791
< 0.1%
0.096850975241
< 0.1%
0.097017706371
< 0.1%
0.10505702161
< 0.1%
0.10620927691
< 0.1%
ValueCountFrequency (%)
0.081024071791
< 0.1%
0.096850975241
< 0.1%
0.097017706371
< 0.1%
0.10505702161
< 0.1%
0.10620927691
< 0.1%
ValueCountFrequency (%)
0.042914160721
< 0.1%
0.047188465631
< 0.1%
0.050530594961
< 0.1%
0.053423416331
< 0.1%
0.054997311731
< 0.1%

RiskLongStay
Real number (ℝ)

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct8678012560
Distinct (%)100.0%100.0%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.140.18
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum0.00250.0029
Maximum0.950.94
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size1.3 MiB196.2 KiB
2025-09-25T18:21:43.829196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum0.00250.0029
5-th percentile0.00910.012
Q10.0240.035
median0.0630.091
Q30.180.25
95-th percentile0.590.65
Maximum0.950.94
Range0.950.94
Interquartile range (IQR)0.160.21

Descriptive statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Standard deviation0.180.2
Coefficient of variation (CV)1.31.1
Kurtosis3.31.9
Mean0.140.18
Median Absolute Deviation (MAD)0.0480.069
Skewness1.91.6
Sum1.2 × 1042.2 × 103
Variance0.0340.041
MonotonicityNot monotonicNot monotonic
2025-09-25T18:21:44.177915image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.033188156491
 
< 0.1%
0.42742724091
 
< 0.1%
0.097723621891
 
< 0.1%
0.54603840231
 
< 0.1%
0.84552936861
 
< 0.1%
Other values (86775)86775
> 99.9%
ValueCountFrequency (%)
0.021659147781
 
< 0.1%
0.0089218341921
 
< 0.1%
0.036019780691
 
< 0.1%
0.085007634391
 
< 0.1%
0.015247303071
 
< 0.1%
Other values (12555)12555
> 99.9%
ValueCountFrequency (%)
0.0025491973361
< 0.1%
0.0025640219011
< 0.1%
0.0025696161571
< 0.1%
0.0027625701921
< 0.1%
0.002853768831
< 0.1%
ValueCountFrequency (%)
0.0028597530521
< 0.1%
0.0028869775521
< 0.1%
0.0029888642021
< 0.1%
0.0033788009831
< 0.1%
0.0033945177531
< 0.1%
ValueCountFrequency (%)
0.0028597530521
< 0.1%
0.0028869775521
< 0.1%
0.0029888642021
< 0.1%
0.0033788009831
< 0.1%
0.0033945177531
< 0.1%
ValueCountFrequency (%)
0.0025491973361
< 0.1%
0.0025640219011
< 0.1%
0.0025696161571
< 0.1%
0.0027625701921
< 0.1%
0.002853768831
< 0.1%

admission_type_id
Categorical

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct54
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Memory size762.9 KiB110.6 KiB
Emergency
61342 
Elective
16518 
Unknown
8893 
Trauma Center
 
18
New Born
 
9
Emergency
9159 
Elective
2149 
Unknown
1251 
New Born
 
1

Unique

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Unique01 ?
Unique (%)0.0%< 0.1%

Sample

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
1st rowElectiveEmergency
2nd rowUnknownUnknown
3rd rowUnknownEmergency
4th rowUnknownEmergency
5th rowUnknownEmergency

Common Values

ValueCountFrequency (%)
Emergency61342
70.7%
Elective16518
 
19.0%
Unknown8893
 
10.2%
Trauma Center18
 
< 0.1%
New Born9
 
< 0.1%
ValueCountFrequency (%)
Emergency9159
72.9%
Elective2149
 
17.1%
Unknown1251
 
10.0%
New Born1
 
< 0.1%

Common Values (Plot)

Readmitted within 30 Days_Value=0

2025-09-25T18:21:44.266290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Readmitted within 30 Days_Value=1

2025-09-25T18:21:44.324733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

age
Categorical

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct55
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Memory size762.9 KiB110.6 KiB
70+
38369 
[50-70)
34453 
[20-50)
13160 
[10-20)
 
642
[0-10)
 
156
70+
5983 
[50-70)
4665 
[20-50)
1860 
[10-20)
 
48
[0-10)
 
4

Unique

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
1st row70+70+
2nd row[20-50)70+
3rd row70+70+
4th row70+[50-70)
5th row70+70+

Common Values

ValueCountFrequency (%)
70+38369
44.2%
[50-70)34453
39.7%
[20-50)13160
 
15.2%
[10-20)642
 
0.7%
[0-10)156
 
0.2%
ValueCountFrequency (%)
70+5983
47.6%
[50-70)4665
37.1%
[20-50)1860
 
14.8%
[10-20)48
 
0.4%
[0-10)4
 
< 0.1%

Common Values (Plot)

Readmitted within 30 Days_Value=0

2025-09-25T18:21:44.382556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Readmitted within 30 Days_Value=1

2025-09-25T18:21:44.442152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

gender
Categorical

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Memory size762.8 KiB110.5 KiB
Female
46603 
Male
40177 
Female
6851 
Male
5709 

Unique

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
1st rowFemaleMale
2nd rowMaleFemale
3rd rowFemaleMale
4th rowFemaleFemale
5th rowFemaleMale

Common Values

ValueCountFrequency (%)
Female46603
53.7%
Male40177
46.3%
ValueCountFrequency (%)
Female6851
54.5%
Male5709
45.5%

Common Values (Plot)

Readmitted within 30 Days_Value=0

2025-09-25T18:21:44.492532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Readmitted within 30 Days_Value=1

2025-09-25T18:21:44.528314image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

insulin
Categorical

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct44
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Memory size762.9 KiB110.6 KiB
No
41084 
Steady
26289 
Down
10049 
Up
9358 
No
5292 
Steady
3780 
Down
1859 
Up
1629 

Unique

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
1st rowDownUp
2nd rowNoSteady
3rd rowNoDown
4th rowUpSteady
5th rowDownSteady

Common Values

ValueCountFrequency (%)
No41084
47.3%
Steady26289
30.3%
Down10049
 
11.6%
Up9358
 
10.8%
ValueCountFrequency (%)
No5292
42.1%
Steady3780
30.1%
Down1859
 
14.8%
Up1629
 
13.0%

Common Values (Plot)

Readmitted within 30 Days_Value=0

2025-09-25T18:21:44.571398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Readmitted within 30 Days_Value=1

2025-09-25T18:21:44.626632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

metformin
Categorical

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct44
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Memory size762.9 KiB110.6 KiB
No
69109 
Steady
16213 
Up
 
964
Down
 
494
No
10388 
Steady
1993 
Up
 
99
Down
 
80

Unique

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
1st rowSteadyNo
2nd rowSteadyNo
3rd rowSteadySteady
4th rowNoNo
5th rowNoNo

Common Values

ValueCountFrequency (%)
No69109
79.6%
Steady16213
 
18.7%
Up964
 
1.1%
Down494
 
0.6%
ValueCountFrequency (%)
No10388
82.7%
Steady1993
 
15.9%
Up99
 
0.8%
Down80
 
0.6%

Common Values (Plot)

Readmitted within 30 Days_Value=0

2025-09-25T18:21:44.682059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Readmitted within 30 Days_Value=1

2025-09-25T18:21:44.730323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

num_medications
Real number (ℝ)

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct7369
Distinct (%)0.1%0.5%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean1617
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum11
Maximum7981
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size1.3 MiB196.2 KiB
2025-09-25T18:21:44.838913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum11
5-th percentile56
Q11011
median1516
Q32021
95-th percentile3031
Maximum7981
Range7880
Interquartile range (IQR)1010

Descriptive statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Standard deviation8.18.1
Coefficient of variation (CV)0.510.48
Kurtosis3.53.7
Mean1617
Median Absolute Deviation (MAD)55
Skewness1.31.3
Sum1.4 × 1062.1 × 105
Variance6565
MonotonicityNot monotonicNot monotonic
2025-09-25T18:21:44.985590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135221
 
6.0%
125171
 
6.0%
115031
 
5.8%
154946
 
5.7%
144919
 
5.7%
Other values (68)61492
70.9%
ValueCountFrequency (%)
13755
 
6.0%
15748
 
6.0%
12717
 
5.7%
16686
 
5.5%
14673
 
5.4%
Other values (64)8981
71.5%
ValueCountFrequency (%)
1247
 
0.3%
2412
 
0.5%
3805
0.9%
41254
1.4%
51796
2.1%
ValueCountFrequency (%)
113
 
0.1%
245
 
0.4%
369
0.5%
4129
1.0%
5168
1.3%
ValueCountFrequency (%)
113
 
< 0.1%
245
 
0.1%
369
0.1%
4129
0.1%
5168
0.2%
ValueCountFrequency (%)
1247
 
2.0%
2412
 
3.3%
3805
6.4%
41254
10.0%
51796
14.3%

num_procedures
Real number (ℝ)

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct77
Distinct (%)< 0.1%0.1%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean1.31.3
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum00
Maximum66
Zeros399415738
Zeros (%)46.0%45.7%
Negative00
Negative (%)0.0%0.0%
Memory size1.3 MiB196.2 KiB
2025-09-25T18:21:45.080659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum00
5-th percentile00
Q100
median11
Q322
95-th percentile55
Maximum66
Range66
Interquartile range (IQR)22

Descriptive statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Standard deviation1.71.6
Coefficient of variation (CV)1.31.3
Kurtosis0.841.1
Mean1.31.3
Median Absolute Deviation (MAD)11
Skewness1.31.4
Sum1.2 × 1051.6 × 104
Variance2.92.7
MonotonicityNot monotonicNot monotonic
2025-09-25T18:21:45.145453image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
039941
46.0%
117482
20.1%
210805
 
12.5%
38082
 
9.3%
64268
 
4.9%
Other values (2)6202
 
7.1%
ValueCountFrequency (%)
05738
45.7%
12767
22.0%
21567
 
12.5%
31121
 
8.9%
6533
 
4.2%
Other values (2)834
 
6.6%
ValueCountFrequency (%)
039941
46.0%
117482
20.1%
210805
 
12.5%
38082
 
9.3%
43538
 
4.1%
ValueCountFrequency (%)
05738
45.7%
12767
22.0%
21567
 
12.5%
31121
 
8.9%
4511
 
4.1%
ValueCountFrequency (%)
05738
6.6%
12767
3.2%
21567
 
1.8%
31121
 
1.3%
4511
 
0.6%
ValueCountFrequency (%)
039941
318.0%
117482
139.2%
210805
 
86.0%
38082
 
64.3%
43538
 
28.2%

race
Categorical

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct66
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Memory size762.9 KiB110.6 KiB
Caucasian
64716 
AfricanAmerican
16394 
Unknown
 
2015
Hispanic
 
1787
Other
 
1311
Caucasian
9504 
AfricanAmerican
2378 
Hispanic
 
230
Unknown
 
217
Other
 
160

Unique

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
1st rowCaucasianCaucasian
2nd rowCaucasianCaucasian
3rd rowCaucasianCaucasian
4th rowCaucasianAfricanAmerican
5th rowCaucasianCaucasian

Common Values

ValueCountFrequency (%)
Caucasian64716
74.6%
AfricanAmerican16394
 
18.9%
Unknown2015
 
2.3%
Hispanic1787
 
2.1%
Other1311
 
1.5%
ValueCountFrequency (%)
Caucasian9504
75.7%
AfricanAmerican2378
 
18.9%
Hispanic230
 
1.8%
Unknown217
 
1.7%
Other160
 
1.3%

Common Values (Plot)

Readmitted within 30 Days_Value=0

2025-09-25T18:21:45.216168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Readmitted within 30 Days_Value=1

2025-09-25T18:21:45.283311image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct11
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean01
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum01
Maximum01
Zeros867800
Zeros (%)100.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size1.3 MiB196.2 KiB
2025-09-25T18:21:45.344672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum01
5-th percentile01
Q101
median01
Q301
95-th percentile01
Maximum01
Range00
Interquartile range (IQR)00

Descriptive statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Standard deviation00
Coefficient of variation (CV)nan0
Kurtosis00
Mean01
Median Absolute Deviation (MAD)00
Skewness00
Sum01.3 × 104
Variance00
MonotonicityIncreasingIncreasing
2025-09-25T18:21:45.405260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
086780
100.0%
ValueCountFrequency (%)
112560
100.0%
ValueCountFrequency (%)
086780
100.0%
ValueCountFrequency (%)
112560
100.0%
ValueCountFrequency (%)
112560
14.5%
ValueCountFrequency (%)
086780
690.9%

Readmitted (Any)_Value
Real number (ℝ)

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct21
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.391
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum01
Maximum11
Zeros525240
Zeros (%)60.5%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size1.3 MiB196.2 KiB
2025-09-25T18:21:45.462770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum01
5-th percentile01
Q101
median01
Q311
95-th percentile11
Maximum11
Range10
Interquartile range (IQR)10

Descriptive statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Standard deviation0.490
Coefficient of variation (CV)1.20
Kurtosis-1.80
Mean0.391
Median Absolute Deviation (MAD)00
Skewness0.430
Sum3.4 × 1041.3 × 104
Variance0.240
MonotonicityNot monotonicIncreasing
2025-09-25T18:21:45.523012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
052524
60.5%
134256
39.5%
ValueCountFrequency (%)
112560
100.0%
ValueCountFrequency (%)
052524
60.5%
134256
39.5%
ValueCountFrequency (%)
112560
100.0%
ValueCountFrequency (%)
112560
14.5%
ValueCountFrequency (%)
052524
418.2%
134256
272.7%
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.140.18
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum00
Maximum11
Zeros7429610333
Zeros (%)85.6%82.3%
Negative00
Negative (%)0.0%0.0%
Memory size1.3 MiB196.2 KiB
2025-09-25T18:21:45.584279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum00
5-th percentile00
Q100
median00
Q300
95-th percentile11
Maximum11
Range11
Interquartile range (IQR)00

Descriptive statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Standard deviation0.350.38
Coefficient of variation (CV)2.42.2
Kurtosis2.10.86
Mean0.140.18
Median Absolute Deviation (MAD)00
Skewness21.7
Sum1.2 × 1042.2 × 103
Variance0.120.15
MonotonicityDecreasingDecreasing
2025-09-25T18:21:45.647501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
074296
85.6%
112484
 
14.4%
ValueCountFrequency (%)
010333
82.3%
12227
 
17.7%
ValueCountFrequency (%)
074296
85.6%
112484
 
14.4%
ValueCountFrequency (%)
010333
82.3%
12227
 
17.7%
ValueCountFrequency (%)
010333
11.9%
12227
 
2.6%
ValueCountFrequency (%)
074296
591.5%
112484
 
99.4%
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct1414
Distinct (%)< 0.1%0.1%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean4.34.7
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum11
Maximum1414
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size1.3 MiB196.2 KiB
2025-09-25T18:21:45.722067image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum11
5-th percentile11
Q122
median44
Q366
95-th percentile1111
Maximum1414
Range1313
Interquartile range (IQR)44

Descriptive statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Standard deviation33
Coefficient of variation (CV)0.680.64
Kurtosis0.960.49
Mean4.34.7
Median Absolute Deviation (MAD)22
Skewness1.20.99
Sum3.8 × 1056 × 104
Variance8.79.1
MonotonicityDecreasingDecreasing
2025-09-25T18:21:45.806700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
315357
17.7%
214993
17.3%
112484
14.4%
411850
13.7%
58433
 
9.7%
Other values (9)23663
27.3%
ValueCountFrequency (%)
32075
16.5%
21898
15.1%
41834
14.6%
11338
 
10.7%
51316
 
10.5%
Other values (9)4099
32.6%
ValueCountFrequency (%)
112484
14.4%
214993
17.3%
315357
17.7%
411850
13.7%
58433
9.7%
ValueCountFrequency (%)
11338
10.7%
21898
15.1%
32075
16.5%
41834
14.6%
51316
10.5%
ValueCountFrequency (%)
11338
1.5%
21898
2.2%
32075
2.4%
41834
2.1%
51316
1.5%
ValueCountFrequency (%)
112484
99.4%
214993
119.4%
315357
122.3%
411850
94.3%
58433
67.1%
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct1414
Distinct (%)< 0.1%0.1%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean4.34.7
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum11
Maximum1414
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size1.3 MiB196.2 KiB
2025-09-25T18:21:45.887031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum11
5-th percentile11
Q122
median44
Q366
95-th percentile1111
Maximum1414
Range1313
Interquartile range (IQR)44

Descriptive statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Standard deviation33
Coefficient of variation (CV)0.680.64
Kurtosis0.960.49
Mean4.34.7
Median Absolute Deviation (MAD)22
Skewness1.20.99
Sum3.8 × 1056 × 104
Variance8.79.1
MonotonicityDecreasingDecreasing
2025-09-25T18:21:45.971030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
315357
17.7%
214993
17.3%
112484
14.4%
411850
13.7%
58433
 
9.7%
Other values (9)23663
27.3%
ValueCountFrequency (%)
32075
16.5%
21898
15.1%
41834
14.6%
11338
 
10.7%
51316
 
10.5%
Other values (9)4099
32.6%
ValueCountFrequency (%)
112484
14.4%
214993
17.3%
315357
17.7%
411850
13.7%
58433
9.7%
ValueCountFrequency (%)
11338
10.7%
21898
15.1%
32075
16.5%
41834
14.6%
51316
10.5%
ValueCountFrequency (%)
11338
1.5%
21898
2.2%
32075
2.4%
41834
2.1%
51316
1.5%
ValueCountFrequency (%)
112484
99.4%
214993
119.4%
315357
122.3%
411850
94.3%
58433
67.1%

Taking Metformin_Value
Real number (ℝ)

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct33
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.210.18
 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum00
Maximum22
Zeros6855110307
Zeros (%)79.0%82.1%
Negative00
Negative (%)0.0%0.0%
Memory size1.3 MiB196.2 KiB
2025-09-25T18:21:46.039260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Minimum00
5-th percentile00
Q100
median00
Q300
95-th percentile11
Maximum22
Range22
Interquartile range (IQR)00

Descriptive statistics

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Standard deviation0.410.39
Coefficient of variation (CV)1.92.1
Kurtosis0.170.98
Mean0.210.18
Median Absolute Deviation (MAD)00
Skewness1.41.7
Sum1.8 × 1042.3 × 103
Variance0.170.15
MonotonicityNot monotonicNot monotonic
2025-09-25T18:21:46.108503image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
068551
79.0%
118177
 
20.9%
252
 
0.1%
ValueCountFrequency (%)
010307
82.1%
12246
 
17.9%
27
 
0.1%
ValueCountFrequency (%)
068551
79.0%
118177
 
20.9%
252
 
0.1%
ValueCountFrequency (%)
010307
82.1%
12246
 
17.9%
27
 
0.1%
ValueCountFrequency (%)
010307
11.9%
12246
 
2.6%
27
 
< 0.1%
ValueCountFrequency (%)
068551
545.8%
118177
 
144.7%
252
 
0.4%

Age
Categorical

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct55
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Memory size762.9 KiB110.6 KiB
70+
38369 
[50-70)
34453 
[20-50)
13160 
[10-20)
 
642
[0-10)
 
156
70+
5983 
[50-70)
4665 
[20-50)
1860 
[10-20)
 
48
[0-10)
 
4

Unique

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
1st row70+70+
2nd row[20-50)70+
3rd row70+70+
4th row70+[50-70)
5th row70+70+

Common Values

ValueCountFrequency (%)
70+38369
44.2%
[50-70)34453
39.7%
[20-50)13160
 
15.2%
[10-20)642
 
0.7%
[0-10)156
 
0.2%
ValueCountFrequency (%)
70+5983
47.6%
[50-70)4665
37.1%
[20-50)1860
 
14.8%
[10-20)48
 
0.4%
[0-10)4
 
< 0.1%

Common Values (Plot)

Readmitted within 30 Days_Value=0

2025-09-25T18:21:46.174927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Readmitted within 30 Days_Value=1

2025-09-25T18:21:46.241653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Race
Categorical

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct66
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Memory size762.9 KiB110.6 KiB
Caucasian
64716 
AfricanAmerican
16394 
Unknown
 
2015
Hispanic
 
1787
Other
 
1311
Caucasian
9504 
AfricanAmerican
2378 
Hispanic
 
230
Unknown
 
217
Other
 
160

Unique

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
1st rowCaucasianCaucasian
2nd rowCaucasianCaucasian
3rd rowCaucasianCaucasian
4th rowCaucasianAfricanAmerican
5th rowCaucasianCaucasian

Common Values

ValueCountFrequency (%)
Caucasian64716
74.6%
AfricanAmerican16394
 
18.9%
Unknown2015
 
2.3%
Hispanic1787
 
2.1%
Other1311
 
1.5%
ValueCountFrequency (%)
Caucasian9504
75.7%
AfricanAmerican2378
 
18.9%
Hispanic230
 
1.8%
Unknown217
 
1.7%
Other160
 
1.3%

Common Values (Plot)

Readmitted within 30 Days_Value=0

2025-09-25T18:21:46.306000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Readmitted within 30 Days_Value=1

2025-09-25T18:21:46.371636image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gender
Categorical

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct22
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Memory size762.8 KiB110.5 KiB
Female
46603 
Male
40177 
Female
6851 
Male
5709 

Unique

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
1st rowFemaleMale
2nd rowMaleFemale
3rd rowFemaleMale
4th rowFemaleFemale
5th rowFemaleMale

Common Values

ValueCountFrequency (%)
Female46603
53.7%
Male40177
46.3%
ValueCountFrequency (%)
Female6851
54.5%
Male5709
45.5%

Common Values (Plot)

Readmitted within 30 Days_Value=0

2025-09-25T18:21:46.426155image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Readmitted within 30 Days_Value=1

2025-09-25T18:21:46.461815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

A1C
Categorical

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct44
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Memory size762.9 KiB110.6 KiB
None
71835 
>8
7216 
Norm
 
4390
>7
 
3339
None
10671 
>8
 
921
Norm
 
532
>7
 
436

Unique

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
1st rowNoneNorm
2nd rowNoneNone
3rd rowNorm>8
4th row>7None
5th rowNoneNone

Common Values

ValueCountFrequency (%)
None71835
82.8%
>87216
 
8.3%
Norm4390
 
5.1%
>73339
 
3.8%
ValueCountFrequency (%)
None10671
85.0%
>8921
 
7.3%
Norm532
 
4.2%
>7436
 
3.5%

Common Values (Plot)

Readmitted within 30 Days_Value=0

2025-09-25T18:21:46.503464image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Readmitted within 30 Days_Value=1

2025-09-25T18:21:46.550715image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Taking Insulin
Categorical

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct44
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Memory size762.9 KiB110.6 KiB
No
41084 
Steady
26289 
Down
10049 
Up
9358 
No
5292 
Steady
3780 
Down
1859 
Up
1629 

Unique

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
1st rowDownUp
2nd rowNoSteady
3rd rowNoDown
4th rowUpSteady
5th rowDownSteady

Common Values

ValueCountFrequency (%)
No41084
47.3%
Steady26289
30.3%
Down10049
 
11.6%
Up9358
 
10.8%
ValueCountFrequency (%)
No5292
42.1%
Steady3780
30.1%
Down1859
 
14.8%
Up1629
 
13.0%

Common Values (Plot)

Readmitted within 30 Days_Value=0

2025-09-25T18:21:46.600878image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Readmitted within 30 Days_Value=1

2025-09-25T18:21:46.657069image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Taking Metformin
Categorical

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Distinct44
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Memory size762.9 KiB110.6 KiB
No
69109 
Steady
16213 
Up
 
964
Down
 
494
No
10388 
Steady
1993 
Up
 
99
Down
 
80

Unique

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
Unique00 ?
Unique (%)0.0%0.0%

Sample

 Readmitted within 30 Days_Value=0Readmitted within 30 Days_Value=1
1st rowSteadyNo
2nd rowSteadyNo
3rd rowSteadySteady
4th rowNoNo
5th rowNoNo

Common Values

ValueCountFrequency (%)
No69109
79.6%
Steady16213
 
18.7%
Up964
 
1.1%
Down494
 
0.6%
ValueCountFrequency (%)
No10388
82.7%
Steady1993
 
15.9%
Up99
 
0.8%
Down80
 
0.6%

Common Values (Plot)

Readmitted within 30 Days_Value=0

2025-09-25T18:21:46.711730image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Readmitted within 30 Days_Value=1

2025-09-25T18:21:46.762341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/