Pandas Profiling Report

Dataset statistics

Number of variables	46
Number of observations	98053
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	34.4 MiB
Average record size in memory	368.0 B

Variable types

Numeric	12
Categorical	30
Boolean	4

Warnings

`examide` has constant value "False"	Constant
`citoglipton` has constant value "False"	Constant
`metformin-rosiglitazone` has constant value "False"	Constant
`diag_1` has a high cardinality: 713 distinct values	High cardinality
`diag_2` has a high cardinality: 740 distinct values	High cardinality
`diag_3` has a high cardinality: 786 distinct values	High cardinality
`tolbutamide` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`insulin` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`A1Cresult` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`diabetesMed` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`max_glu_serum` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`glyburide` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`metformin` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`metformin-pioglitazone` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`metformin-rosiglitazone` is highly correlated with `tolbutamide` and 29 other fields	High correlation
`race` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`miglitol` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`gender` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`chlorpropamide` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`repaglinide` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`examide` is highly correlated with `tolbutamide` and 29 other fields	High correlation
`acetohexamide` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`age` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`troglitazone` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`change` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`glipizide` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`readmitted` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`acarbose` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`glimepiride-pioglitazone` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`pioglitazone` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`glimepiride` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`citoglipton` is highly correlated with `tolbutamide` and 29 other fields	High correlation
`glipizide-metformin` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`glyburide-metformin` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`tolazamide` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`rosiglitazone` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`nateglinide` is highly correlated with `metformin-rosiglitazone` and 2 other fields	High correlation
`number_emergency` is highly skewed (γ1 = 22.71034016)	Skewed
`df_index` has unique values	Unique
`num_procedures` has 44574 (45.5%) zeros	Zeros
`number_outpatient` has 81680 (83.3%) zeros	Zeros
`number_emergency` has 86846 (88.6%) zeros	Zeros
`number_inpatient` has 64634 (65.9%) zeros	Zeros

Reproduction

Analysis started	2021-05-05 21:22:20.387978
Analysis finished	2021-05-05 21:23:16.876767
Duration	56.49 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

df_index
Real number (ℝ_≥0)

UNIQUE

Distinct	98053
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	51115.56242
Minimum	1
Maximum	101765
Zeros	0
Zeros (%)	0.0%
Memory size	766.2 KiB

Quantile statistics

Minimum	1
5-th percentile	5180.6
Q1	25575
median	51369
Q3	76379
95-th percentile	96683.4
Maximum	101765
Range	101764
Interquartile range (IQR)	50804

Descriptive statistics

Standard deviation	29307.25248
Coefficient of variation (CV)	0.573352832
Kurtosis	-1.191414224
Mean	51115.56242
Median Absolute Deviation (MAD)	25399
Skewness	-0.01478077774
Sum	5012034242
Variance	858915047.7
Monotocity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2047	1	< 0.1%
80562	1	< 0.1%
29339	1	< 0.1%
19100	1	< 0.1%
17053	1	< 0.1%
23198	1	< 0.1%
21151	1	< 0.1%
101028	1	< 0.1%
98981	1	< 0.1%
76464	1	< 0.1%
Other values (98043)	98043	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%

Value	Count	Frequency (%)
101765	1	< 0.1%
101764	1	< 0.1%
101763	1	< 0.1%
101762	1	< 0.1%
101761	1	< 0.1%

race
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

Caucasian	75079
AfricanAmerican	18881
Hispanic	1984
Other	1484
Asian	625

Length

Max length	15
Median length	9
Mean length	10.0490857
Min length	5

Characters and Unicode

Total characters	985343
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Caucasian
2nd row	AfricanAmerican
3rd row	Caucasian
4th row	Caucasian
5th row	Caucasian

Value	Count	Frequency (%)
Caucasian	75079	76.6%
AfricanAmerican	18881	19.3%
Hispanic	1984	2.0%
Other	1484	1.5%
Asian	625	0.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
caucasian	75079	76.6%
africanamerican	18881	19.3%
hispanic	1984	2.0%
other	1484	1.5%
asian	625	0.6%

Most occurring characters

Value	Count	Frequency (%)
a	265608	27.0%
i	117434	11.9%
n	115450	11.7%
c	114825	11.7%
s	77688	7.9%
C	75079	7.6%
u	75079	7.6%
r	39246	4.0%
A	38387	3.9%
e	20365	2.1%
Other values (7)	46182	4.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	868409	88.1%
Uppercase Letter	116934	11.9%

Most frequent character per category

Value	Count	Frequency (%)
a	265608	30.6%
i	117434	13.5%
n	115450	13.3%
c	114825	13.2%
s	77688	8.9%
u	75079	8.6%
r	39246	4.5%
e	20365	2.3%
f	18881	2.2%
m	18881	2.2%
Other values (3)	4952	0.6%

Value	Count	Frequency (%)
C	75079	64.2%
A	38387	32.8%
H	1984	1.7%
O	1484	1.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	985343	100.0%

Most frequent character per script

Value	Count	Frequency (%)
a	265608	27.0%
i	117434	11.9%
n	115450	11.7%
c	114825	11.7%
s	77688	7.9%
C	75079	7.6%
u	75079	7.6%
r	39246	4.0%
A	38387	3.9%
e	20365	2.1%
Other values (7)	46182	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	985343	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	265608	27.0%
i	117434	11.9%
n	115450	11.7%
c	114825	11.7%
s	77688	7.9%
C	75079	7.6%
u	75079	7.6%
r	39246	4.0%
A	38387	3.9%
e	20365	2.1%
Other values (7)	46182	4.7%

gender
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

Female	52833
Male	45219
Unknown/Invalid	1

Length

Max length	15
Median length	6
Mean length	5.077753868
Min length	4

Characters and Unicode

Total characters	497889
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Female
2nd row	Female
3rd row	Male
4th row	Male
5th row	Male

Value	Count	Frequency (%)
Female	52833	53.9%
Male	45219	46.1%
Unknown/Invalid	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
female	52833	53.9%
male	45219	46.1%
unknown/invalid	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	150885	30.3%
a	98053	19.7%
l	98053	19.7%
F	52833	10.6%
m	52833	10.6%
M	45219	9.1%
n	4	< 0.1%
U	1	< 0.1%
k	1	< 0.1%
o	1	< 0.1%
Other values (6)	6	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	399834	80.3%
Uppercase Letter	98054	19.7%
Other Punctuation	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	150885	37.7%
a	98053	24.5%
l	98053	24.5%
m	52833	13.2%
n	4	< 0.1%
k	1	< 0.1%
o	1	< 0.1%
w	1	< 0.1%
v	1	< 0.1%
i	1	< 0.1%

Value	Count	Frequency (%)
F	52833	53.9%
M	45219	46.1%
U	1	< 0.1%
I	1	< 0.1%

Value	Count	Frequency (%)
/	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	497888	> 99.9%
Common	1	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
e	150885	30.3%
a	98053	19.7%
l	98053	19.7%
F	52833	10.6%
m	52833	10.6%
M	45219	9.1%
n	4	< 0.1%
U	1	< 0.1%
k	1	< 0.1%
o	1	< 0.1%
Other values (5)	5	< 0.1%

Value	Count	Frequency (%)
/	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	497889	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	150885	30.3%
a	98053	19.7%
l	98053	19.7%
F	52833	10.6%
m	52833	10.6%
M	45219	9.1%
n	4	< 0.1%
U	1	< 0.1%
k	1	< 0.1%
o	1	< 0.1%
Other values (6)	6	< 0.1%

age
Categorical

HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

[70-80)	25306
[60-70)	21809
[80-90)	16702
[50-60)	16697
[40-50)	9265
Other values (5)	8274

Length

Max length	8
Median length	7
Mean length	7.027046597
Min length	6

Characters and Unicode

Total characters	689023
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	[10-20)
2nd row	[20-30)
3rd row	[30-40)
4th row	[40-50)
5th row	[50-60)

Value	Count	Frequency (%)
[70-80)	25306	25.8%
[60-70)	21809	22.2%
[80-90)	16702	17.0%
[50-60)	16697	17.0%
[40-50)	9265	9.4%
[30-40)	3548	3.6%
[90-100)	2717	2.8%
[20-30)	1478	1.5%
[10-20)	466	0.5%
[0-10)	65	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
70-80	25306	25.8%
60-70	21809	22.2%
80-90	16702	17.0%
50-60	16697	17.0%
40-50	9265	9.4%
30-40	3548	3.6%
90-100	2717	2.8%
20-30	1478	1.5%
10-20	466	0.5%
0-10	65	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	198823	28.9%
[	98053	14.2%
-	98053	14.2%
)	98053	14.2%
7	47115	6.8%
8	42008	6.1%
6	38506	5.6%
5	25962	3.8%
9	19419	2.8%
4	12813	1.9%
Other values (3)	10218	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	394864	57.3%
Open Punctuation	98053	14.2%
Dash Punctuation	98053	14.2%
Close Punctuation	98053	14.2%

Most frequent character per category

Value	Count	Frequency (%)
0	198823	50.4%
7	47115	11.9%
8	42008	10.6%
6	38506	9.8%
5	25962	6.6%
9	19419	4.9%
4	12813	3.2%
3	5026	1.3%
1	3248	0.8%
2	1944	0.5%

Value	Count	Frequency (%)
[	98053	100.0%

Value	Count	Frequency (%)
-	98053	100.0%

Value	Count	Frequency (%)
)	98053	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	689023	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	198823	28.9%
[	98053	14.2%
-	98053	14.2%
)	98053	14.2%
7	47115	6.8%
8	42008	6.1%
6	38506	5.6%
5	25962	3.8%
9	19419	2.8%
4	12813	1.9%
Other values (3)	10218	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	689023	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	198823	28.9%
[	98053	14.2%
-	98053	14.2%
)	98053	14.2%
7	47115	6.8%
8	42008	6.1%
6	38506	5.6%
5	25962	3.8%
9	19419	2.8%
4	12813	1.9%
Other values (3)	10218	1.5%

admission_type_id
Real number (ℝ_≥0)

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.025812571
Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Memory size	766.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	3
95-th percentile	6
Maximum	8
Range	7
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.450117239
Coefficient of variation (CV)	0.7158200418
Kurtosis	1.912034312
Mean	2.025812571
Median Absolute Deviation (MAD)	0
Skewness	1.587030686
Sum	198637
Variance	2.102840007
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	52178	53.2%
3	18194	18.6%
2	17543	17.9%
6	5135	5.2%
5	4661	4.8%
8	312	0.3%
7	20	< 0.1%
4	10	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	52178	53.2%
2	17543	17.9%
3	18194	18.6%
4	10	< 0.1%
5	4661	4.8%

Value	Count	Frequency (%)
8	312	0.3%
7	20	< 0.1%
6	5135	5.2%
5	4661	4.8%
4	10	< 0.1%

discharge_disposition_id
Real number (ℝ_≥0)

Distinct	26
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.753368076
Minimum	1
Maximum	28
Zeros	0
Zeros (%)	0.0%
Memory size	766.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	4
95-th percentile	18
Maximum	28
Range	27
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	5.309391793
Coefficient of variation (CV)	1.414567313
Kurtosis	5.838277851
Mean	3.753368076
Median Absolute Deviation (MAD)	0
Skewness	2.534770768
Sum	368029
Variance	28.18964121
Monotocity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
1	57610	58.8%
3	13564	13.8%
6	12626	12.9%
18	3624	3.7%
2	2049	2.1%
22	1970	2.0%
11	1606	1.6%
5	1127	1.1%
25	941	1.0%
4	756	0.8%
Other values (16)	2180	2.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	57610	58.8%
2	2049	2.1%
3	13564	13.8%
4	756	0.8%
5	1127	1.1%

Value	Count	Frequency (%)
28	137	0.1%
27	5	< 0.1%
25	941	1.0%
24	48	< 0.1%
23	400	0.4%

admission_source_id
Real number (ℝ_≥0)

Distinct	17
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.776692197
Minimum	1
Maximum	25
Zeros	0
Zeros (%)	0.0%
Memory size	766.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	7
Q3	7
95-th percentile	17
Maximum	25
Range	24
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.071639573
Coefficient of variation (CV)	0.7048392807
Kurtosis	1.733779297
Mean	5.776692197
Median Absolute Deviation (MAD)	0
Skewness	1.027278586
Sum	566422
Variance	16.57824881
Monotocity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
7	55951	57.1%
1	28356	28.9%
17	6602	6.7%
4	2945	3.0%
6	1893	1.9%
2	1031	1.1%
5	846	0.9%
3	179	0.2%
20	160	0.2%
9	49	< 0.1%
Other values (7)	41	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	28356	28.9%
2	1031	1.1%
3	179	0.2%
4	2945	3.0%
5	846	0.9%

Value	Count	Frequency (%)
25	2	< 0.1%
22	12	< 0.1%
20	160	0.2%
17	6602	6.7%
14	2	< 0.1%

time_in_hospital
Real number (ℝ_≥0)

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.42197587
Minimum	1
Maximum	14
Zeros	0
Zeros (%)	0.0%
Memory size	766.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	11
Maximum	14
Range	13
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.993074463
Coefficient of variation (CV)	0.6768635902
Kurtosis	0.817949426
Mean	4.42197587
Median Absolute Deviation (MAD)	2
Skewness	1.123569649
Sum	433588
Variance	8.958494742
Monotocity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
3	17049	17.4%
2	16441	16.8%
1	13490	13.8%
4	13434	13.7%
5	9699	9.9%
6	7320	7.5%
7	5694	5.8%
8	4276	4.4%
9	2928	3.0%
10	2287	2.3%
Other values (4)	5435	5.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	13490	13.8%
2	16441	16.8%
3	17049	17.4%
4	13434	13.7%
5	9699	9.9%

Value	Count	Frequency (%)
14	1017	1.0%
13	1185	1.2%
12	1424	1.5%
11	1809	1.8%
10	2287	2.3%

num_lab_procedures
Real number (ℝ_≥0)

Distinct	118
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	43.14807298
Minimum	1
Maximum	132
Zeros	0
Zeros (%)	0.0%
Memory size	766.2 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	31
median	44
Q3	57
95-th percentile	73
Maximum	132
Range	131
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	19.71203294
Coefficient of variation (CV)	0.4568461945
Kurtosis	-0.2451976515
Mean	43.14807298
Median Absolute Deviation (MAD)	13
Skewness	-0.2355346172
Sum	4230798
Variance	388.5642427
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	3096	3.2%
43	2724	2.8%
44	2414	2.5%
45	2306	2.4%
38	2131	2.2%
46	2120	2.2%
40	2113	2.2%
41	2046	2.1%
42	2031	2.1%
47	2028	2.1%
Other values (108)	75044	76.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3096	3.2%
2	1062	1.1%
3	647	0.7%
4	364	0.4%
5	277	0.3%

Value	Count	Frequency (%)
132	1	< 0.1%
129	1	< 0.1%
126	1	< 0.1%
121	1	< 0.1%
120	1	< 0.1%

num_procedures
Real number (ℝ_≥0)

ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.350749085
Minimum	0
Maximum	6
Zeros	44574
Zeros (%)	45.5%
Memory size	766.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	5
Maximum	6
Range	6
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.708505881
Coefficient of variation (CV)	1.264858071
Kurtosis	0.8236555027
Mean	1.350749085
Median Absolute Deviation (MAD)	1
Skewness	1.303916989
Sum	132445
Variance	2.918992346
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	44574	45.5%
1	20029	20.4%
2	12383	12.6%
3	9210	9.4%
6	4811	4.9%
4	4076	4.2%
5	2970	3.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	44574	45.5%
1	20029	20.4%
2	12383	12.6%
3	9210	9.4%
4	4076	4.2%

Value	Count	Frequency (%)
6	4811	4.9%
5	2970	3.0%
4	4076	4.2%
3	9210	9.4%
2	12383	12.6%

num_medications
Real number (ℝ_≥0)

Distinct	75
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	16.11964958
Minimum	1
Maximum	81
Zeros	0
Zeros (%)	0.0%
Memory size	766.2 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	11
median	15
Q3	20
95-th percentile	31
Maximum	81
Range	80
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	8.108475918
Coefficient of variation (CV)	0.5030181257
Kurtosis	3.493505174
Mean	16.11964958
Median Absolute Deviation (MAD)	5
Skewness	1.332695065
Sum	1580580
Variance	65.74738171
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13	5885	6.0%
12	5816	5.9%
15	5621	5.7%
11	5592	5.7%
14	5520	5.6%
16	5271	5.4%
10	5167	5.3%
17	4783	4.9%
9	4711	4.8%
18	4399	4.5%
Other values (65)	45288	46.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	236	0.2%
2	397	0.4%
3	785	0.8%
4	1269	1.3%
5	1835	1.9%

Value	Count	Frequency (%)
81	1	< 0.1%
79	1	< 0.1%
75	2	< 0.1%
74	1	< 0.1%
72	3	< 0.1%

number_outpatient
Real number (ℝ_≥0)

ZEROS

Distinct	39
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.3763780812
Minimum	0
Maximum	42
Zeros	81680
Zeros (%)	83.3%
Memory size	766.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	42
Range	42
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.28335944
Coefficient of variation (CV)	3.409761365
Kurtosis	145.5912818
Mean	0.3763780812
Median Absolute Deviation (MAD)	0
Skewness	8.78170539
Sum	36905
Variance	1.647011452
Monotocity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
0	81680	83.3%
1	8340	8.5%
2	3514	3.6%
3	2005	2.0%
4	1078	1.1%
5	521	0.5%
6	297	0.3%
7	153	0.2%
8	98	0.1%
9	83	0.1%
Other values (29)	284	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	81680	83.3%
1	8340	8.5%
2	3514	3.6%
3	2005	2.0%
4	1078	1.1%

Value	Count	Frequency (%)
42	1	< 0.1%
40	1	< 0.1%
39	1	< 0.1%
38	1	< 0.1%
37	1	< 0.1%

number_emergency
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	33
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.2024619339
Minimum	0
Maximum	76
Zeros	86846
Zeros (%)	88.6%
Memory size	766.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	76
Range	76
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.94289229
Coefficient of variation (CV)	4.657133675
Kurtosis	1171.637565
Mean	0.2024619339
Median Absolute Deviation (MAD)	0
Skewness	22.71034016
Sum	19852
Variance	0.8890458704
Monotocity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
0	86846	88.6%
1	7550	7.7%
2	2011	2.1%
3	716	0.7%
4	372	0.4%
5	190	0.2%
6	93	0.1%
7	72	0.1%
8	50	0.1%
10	34	< 0.1%
Other values (23)	119	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	86846	88.6%
1	7550	7.7%
2	2011	2.1%
3	716	0.7%
4	372	0.4%

Value	Count	Frequency (%)
76	1	< 0.1%
64	1	< 0.1%
63	1	< 0.1%
54	1	< 0.1%
46	1	< 0.1%

number_inpatient
Real number (ℝ_≥0)

ZEROS

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.6468644509
Minimum	0
Maximum	21
Zeros	64634
Zeros (%)	65.9%
Memory size	766.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	21
Range	21
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.271020492
Coefficient of variation (CV)	1.964894639
Kurtosis	19.94332538
Mean	0.6468644509
Median Absolute Deviation (MAD)	0
Skewness	3.554829592
Sum	63427
Variance	1.61549309
Monotocity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
0	64634	65.9%
1	19067	19.4%
2	7421	7.6%
3	3346	3.4%
4	1597	1.6%
5	802	0.8%
6	474	0.5%
7	266	0.3%
8	147	0.1%
9	111	0.1%
Other values (10)	188	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	64634	65.9%
1	19067	19.4%
2	7421	7.6%
3	3346	3.4%
4	1597	1.6%

Value	Count	Frequency (%)
21	1	< 0.1%
19	2	< 0.1%
18	1	< 0.1%
16	5	< 0.1%
15	8	< 0.1%

diag_1
Categorical

HIGH CARDINALITY

Distinct	713
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

428	6730
414	6374
786	3900
410	3514
486	3412
Other values (708)	74123

Length

Max length	6
Median length	3
Mean length	3.162167399
Min length	1

Characters and Unicode

Total characters	310060
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	87 ?
Unique (%)	0.1%

Sample

1st row	276
2nd row	648
3rd row	8
4th row	197
5th row	414

Value	Count	Frequency (%)
428	6730	6.9%
414	6374	6.5%
786	3900	4.0%
410	3514	3.6%
486	3412	3.5%
427	2701	2.8%
491	2210	2.3%
715	2073	2.1%
434	1983	2.0%
780	1976	2.0%
Other values (703)	63180	64.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
428	6730	6.9%
414	6374	6.5%
786	3900	4.0%
410	3514	3.6%
486	3412	3.5%
427	2701	2.8%
491	2210	2.3%
715	2073	2.1%
434	1983	2.0%
780	1976	2.0%
Other values (703)	63180	64.4%

Most occurring characters

Value	Count	Frequency (%)
4	53841	17.4%
2	37924	12.2%
8	36767	11.9%
5	35509	11.5%
7	27739	8.9%
1	26791	8.6%
0	23459	7.6%
6	22453	7.2%
9	19352	6.2%
3	16850	5.4%
Other values (3)	9375	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	300685	97.0%
Other Punctuation	7774	2.5%
Uppercase Letter	1601	0.5%

Most frequent character per category

Value	Count	Frequency (%)
4	53841	17.9%
2	37924	12.6%
8	36767	12.2%
5	35509	11.8%
7	27739	9.2%
1	26791	8.9%
0	23459	7.8%
6	22453	7.5%
9	19352	6.4%
3	16850	5.6%

Value	Count	Frequency (%)
V	1600	99.9%
E	1	0.1%

Value	Count	Frequency (%)
.	7774	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	308459	99.5%
Latin	1601	0.5%

Most frequent character per script

Value	Count	Frequency (%)
4	53841	17.5%
2	37924	12.3%
8	36767	11.9%
5	35509	11.5%
7	27739	9.0%
1	26791	8.7%
0	23459	7.6%
6	22453	7.3%
9	19352	6.3%
3	16850	5.5%

Value	Count	Frequency (%)
V	1600	99.9%
E	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	310060	100.0%

Most frequent character per block

Value	Count	Frequency (%)
4	53841	17.4%
2	37924	12.2%
8	36767	11.9%
5	35509	11.5%
7	27739	8.9%
1	26791	8.6%
0	23459	7.6%
6	22453	7.2%
9	19352	6.2%
3	16850	5.4%
Other values (3)	9375	3.0%

diag_2
Categorical

HIGH CARDINALITY

Distinct	740
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

428	6517
276	6513
250	5412
427	4919
401	3613
Other values (735)	71079

Length

Max length	6
Median length	3
Mean length	3.172274178
Min length	1

Characters and Unicode

Total characters	311051
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	120 ?
Unique (%)	0.1%

Sample

1st row	250.01
2nd row	250
3rd row	250.43
4th row	157
5th row	411

Value	Count	Frequency (%)
428	6517	6.6%
276	6513	6.6%
250	5412	5.5%
427	4919	5.0%
401	3613	3.7%
496	3233	3.3%
599	3225	3.3%
403	2781	2.8%
414	2574	2.6%
411	2496	2.5%
Other values (730)	56770	57.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
428	6517	6.6%
276	6513	6.6%
250	5412	5.5%
427	4919	5.0%
401	3613	3.7%
496	3233	3.3%
599	3225	3.3%
403	2781	2.8%
414	2574	2.6%
411	2496	2.5%
Other values (730)	56770	57.9%

Most occurring characters

Value	Count	Frequency (%)
4	49919	16.0%
2	47802	15.4%
5	36582	11.8%
0	32414	10.4%
8	27942	9.0%
7	27749	8.9%
1	25358	8.2%
9	21289	6.8%
6	19412	6.2%
3	13683	4.4%
Other values (3)	8901	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	302150	97.1%
Other Punctuation	6450	2.1%
Uppercase Letter	2451	0.8%

Most frequent character per category

Value	Count	Frequency (%)
4	49919	16.5%
2	47802	15.8%
5	36582	12.1%
0	32414	10.7%
8	27942	9.2%
7	27749	9.2%
1	25358	8.4%
9	21289	7.0%
6	19412	6.4%
3	13683	4.5%

Value	Count	Frequency (%)
V	1735	70.8%
E	716	29.2%

Value	Count	Frequency (%)
.	6450	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	308600	99.2%
Latin	2451	0.8%

Most frequent character per script

Value	Count	Frequency (%)
4	49919	16.2%
2	47802	15.5%
5	36582	11.9%
0	32414	10.5%
8	27942	9.1%
7	27749	9.0%
1	25358	8.2%
9	21289	6.9%
6	19412	6.3%
3	13683	4.4%

Value	Count	Frequency (%)
V	1735	70.8%
E	716	29.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	311051	100.0%

Most frequent character per block

Value	Count	Frequency (%)
4	49919	16.0%
2	47802	15.4%
5	36582	11.8%
0	32414	10.4%
8	27942	9.0%
7	27749	8.9%
1	25358	8.2%
9	21289	6.8%
6	19412	6.2%
3	13683	4.4%
Other values (3)	8901	2.9%

diag_3
Categorical

HIGH CARDINALITY

Distinct	786
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

250	11208
401	8090
276	5097
428	4491
427	3865
Other values (781)	65302

Length

Max length	6
Median length	3
Mean length	3.142188408
Min length	1

Characters and Unicode

Total characters	308101
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	126 ?
Unique (%)	0.1%

Sample

1st row	255
2nd row	V27
3rd row	403
4th row	250
5th row	250

Value	Count	Frequency (%)
250	11208	11.4%
401	8090	8.3%
276	5097	5.2%
428	4491	4.6%
427	3865	3.9%
414	3567	3.6%
496	2552	2.6%
403	2322	2.4%
585	1949	2.0%
272	1910	1.9%
Other values (776)	53002	54.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
250	11208	11.4%
401	8090	8.3%
276	5097	5.2%
428	4491	4.6%
427	3865	3.9%
414	3567	3.6%
496	2552	2.6%
403	2322	2.4%
585	1949	2.0%
272	1910	1.9%
Other values (776)	53002	54.1%

Most occurring characters

Value	Count	Frequency (%)
2	50082	16.3%
4	48157	15.6%
5	40276	13.1%
0	38773	12.6%
7	25936	8.4%
1	24108	7.8%
8	23281	7.6%
9	16938	5.5%
6	16112	5.2%
3	13976	4.5%
Other values (3)	10462	3.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	297639	96.6%
Other Punctuation	5488	1.8%
Uppercase Letter	4974	1.6%

Most frequent character per category

Value	Count	Frequency (%)
2	50082	16.8%
4	48157	16.2%
5	40276	13.5%
0	38773	13.0%
7	25936	8.7%
1	24108	8.1%
8	23281	7.8%
9	16938	5.7%
6	16112	5.4%
3	13976	4.7%

Value	Count	Frequency (%)
V	3757	75.5%
E	1217	24.5%

Value	Count	Frequency (%)
.	5488	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	303127	98.4%
Latin	4974	1.6%

Most frequent character per script

Value	Count	Frequency (%)
2	50082	16.5%
4	48157	15.9%
5	40276	13.3%
0	38773	12.8%
7	25936	8.6%
1	24108	8.0%
8	23281	7.7%
9	16938	5.6%
6	16112	5.3%
3	13976	4.6%

Value	Count	Frequency (%)
V	3757	75.5%
E	1217	24.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	308101	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	50082	16.3%
4	48157	15.6%
5	40276	13.1%
0	38773	12.6%
7	25936	8.4%
1	24108	7.8%
8	23281	7.6%
9	16938	5.5%
6	16112	5.2%
3	13976	4.5%
Other values (3)	10462	3.4%

number_diagnoses
Real number (ℝ_≥0)

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.512059804
Minimum	3
Maximum	16
Zeros	0
Zeros (%)	0.0%
Memory size	766.2 KiB

Quantile statistics

Minimum	3
5-th percentile	4
Q1	6
median	8
Q3	9
95-th percentile	9
Maximum	16
Range	13
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.832496822
Coefficient of variation (CV)	0.2439406593
Kurtosis	-0.3451201144
Mean	7.512059804
Median Absolute Deviation (MAD)	1
Skewness	-0.8175023377
Sum	736580
Variance	3.358044602
Monotocity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
9	48687	49.7%
5	10592	10.8%
8	10388	10.6%
7	10179	10.4%
6	9988	10.2%
4	5361	5.5%
3	2751	2.8%
16	40	< 0.1%
13	16	< 0.1%
10	16	< 0.1%
Other values (4)	35	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3	2751	2.8%
4	5361	5.5%
5	10592	10.8%
6	9988	10.2%
7	10179	10.4%

Value	Count	Frequency (%)
16	40	< 0.1%
15	8	< 0.1%
14	7	< 0.1%
13	16	< 0.1%
12	9	< 0.1%

max_glu_serum
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

None	92845
Norm	2532
>200	1449
>300	1227

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	392212
Distinct characters	10
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	None
2nd row	None
3rd row	None
4th row	None
5th row	None

Value	Count	Frequency (%)
None	92845	94.7%
Norm	2532	2.6%
>200	1449	1.5%
>300	1227	1.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
none	92845	94.7%
norm	2532	2.6%
200	1449	1.5%
300	1227	1.3%

Most occurring characters

Value	Count	Frequency (%)
N	95377	24.3%
o	95377	24.3%
n	92845	23.7%
e	92845	23.7%
0	5352	1.4%
>	2676	0.7%
r	2532	0.6%
m	2532	0.6%
2	1449	0.4%
3	1227	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	286131	73.0%
Uppercase Letter	95377	24.3%
Decimal Number	8028	2.0%
Math Symbol	2676	0.7%

Most frequent character per category

Value	Count	Frequency (%)
o	95377	33.3%
n	92845	32.4%
e	92845	32.4%
r	2532	0.9%
m	2532	0.9%

Value	Count	Frequency (%)
0	5352	66.7%
2	1449	18.0%
3	1227	15.3%

Value	Count	Frequency (%)
N	95377	100.0%

Value	Count	Frequency (%)
>	2676	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	381508	97.3%
Common	10704	2.7%

Most frequent character per script

Value	Count	Frequency (%)
N	95377	25.0%
o	95377	25.0%
n	92845	24.3%
e	92845	24.3%
r	2532	0.7%
m	2532	0.7%

Value	Count	Frequency (%)
0	5352	50.0%
>	2676	25.0%
2	1449	13.5%
3	1227	11.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392212	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	95377	24.3%
o	95377	24.3%
n	92845	23.7%
e	92845	23.7%
0	5352	1.4%
>	2676	0.7%
r	2532	0.6%
m	2532	0.6%
2	1449	0.4%
3	1227	0.3%

A1Cresult
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

None	81860
>8	7631
Norm	4854
>7	3708

Length

Max length	4
Median length	4
Mean length	3.768716918
Min length	2

Characters and Unicode

Total characters	369534
Distinct characters	9
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	None
2nd row	None
3rd row	None
4th row	None
5th row	None

Value	Count	Frequency (%)
None	81860	83.5%
>8	7631	7.8%
Norm	4854	5.0%
>7	3708	3.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
none	81860	83.5%
8	7631	7.8%
norm	4854	5.0%
7	3708	3.8%

Most occurring characters

Value	Count	Frequency (%)
N	86714	23.5%
o	86714	23.5%
n	81860	22.2%
e	81860	22.2%
>	11339	3.1%
8	7631	2.1%
r	4854	1.3%
m	4854	1.3%
7	3708	1.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	260142	70.4%
Uppercase Letter	86714	23.5%
Math Symbol	11339	3.1%
Decimal Number	11339	3.1%

Most frequent character per category

Value	Count	Frequency (%)
o	86714	33.3%
n	81860	31.5%
e	81860	31.5%
r	4854	1.9%
m	4854	1.9%

Value	Count	Frequency (%)
8	7631	67.3%
7	3708	32.7%

Value	Count	Frequency (%)
N	86714	100.0%

Value	Count	Frequency (%)
>	11339	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	346856	93.9%
Common	22678	6.1%

Most frequent character per script

Value	Count	Frequency (%)
N	86714	25.0%
o	86714	25.0%
n	81860	23.6%
e	81860	23.6%
r	4854	1.4%
m	4854	1.4%

Value	Count	Frequency (%)
>	11339	50.0%
8	7631	33.6%
7	3708	16.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	369534	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	86714	23.5%
o	86714	23.5%
n	81860	22.2%
e	81860	22.2%
>	11339	3.1%
8	7631	2.1%
r	4854	1.3%
m	4854	1.3%
7	3708	1.0%

metformin
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	78808
Steady	17677
Up	1017
Down	551

Length

Max length	6
Median length	2
Mean length	2.73235903
Min length	2

Characters and Unicode

Total characters	267916
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
No	78808	80.4%
Steady	17677	18.0%
Up	1017	1.0%
Down	551	0.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	78808	80.4%
steady	17677	18.0%
up	1017	1.0%
down	551	0.6%

Most occurring characters

Value	Count	Frequency (%)
o	79359	29.6%
N	78808	29.4%
S	17677	6.6%
t	17677	6.6%
e	17677	6.6%
a	17677	6.6%
d	17677	6.6%
y	17677	6.6%
U	1017	0.4%
p	1017	0.4%
Other values (3)	1653	0.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	169863	63.4%
Uppercase Letter	98053	36.6%

Most frequent character per category

Value	Count	Frequency (%)
o	79359	46.7%
t	17677	10.4%
e	17677	10.4%
a	17677	10.4%
d	17677	10.4%
y	17677	10.4%
p	1017	0.6%
w	551	0.3%
n	551	0.3%

Value	Count	Frequency (%)
N	78808	80.4%
S	17677	18.0%
U	1017	1.0%
D	551	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	267916	100.0%

Most frequent character per script

Value	Count	Frequency (%)
o	79359	29.6%
N	78808	29.4%
S	17677	6.6%
t	17677	6.6%
e	17677	6.6%
a	17677	6.6%
d	17677	6.6%
y	17677	6.6%
U	1017	0.4%
p	1017	0.4%
Other values (3)	1653	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	267916	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	79359	29.6%
N	78808	29.4%
S	17677	6.6%
t	17677	6.6%
e	17677	6.6%
a	17677	6.6%
d	17677	6.6%
y	17677	6.6%
U	1017	0.4%
p	1017	0.4%
Other values (3)	1653	0.6%

repaglinide
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	96530
Steady	1371
Up	107
Down	45

Length

Max length	6
Median length	2
Mean length	2.056846807
Min length	2

Characters and Unicode

Total characters	201680
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
No	96530	98.4%
Steady	1371	1.4%
Up	107	0.1%
Down	45	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	96530	98.4%
steady	1371	1.4%
up	107	0.1%
down	45	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
o	96575	47.9%
N	96530	47.9%
S	1371	0.7%
t	1371	0.7%
e	1371	0.7%
a	1371	0.7%
d	1371	0.7%
y	1371	0.7%
U	107	0.1%
p	107	0.1%
Other values (3)	135	0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	103627	51.4%
Uppercase Letter	98053	48.6%

Most frequent character per category

Value	Count	Frequency (%)
o	96575	93.2%
t	1371	1.3%
e	1371	1.3%
a	1371	1.3%
d	1371	1.3%
y	1371	1.3%
p	107	0.1%
w	45	< 0.1%
n	45	< 0.1%

Value	Count	Frequency (%)
N	96530	98.4%
S	1371	1.4%
U	107	0.1%
D	45	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	201680	100.0%

Most frequent character per script

Value	Count	Frequency (%)
o	96575	47.9%
N	96530	47.9%
S	1371	0.7%
t	1371	0.7%
e	1371	0.7%
a	1371	0.7%
d	1371	0.7%
y	1371	0.7%
U	107	0.1%
p	107	0.1%
Other values (3)	135	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	201680	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	96575	47.9%
N	96530	47.9%
S	1371	0.7%
t	1371	0.7%
e	1371	0.7%
a	1371	0.7%
d	1371	0.7%
y	1371	0.7%
U	107	0.1%
p	107	0.1%
Other values (3)	135	0.1%

nateglinide
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	97362
Steady	657
Up	23
Down	11

Length

Max length	6
Median length	2
Mean length	2.0270262
Min length	2

Characters and Unicode

Total characters	198756
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
No	97362	99.3%
Steady	657	0.7%
Up	23	< 0.1%
Down	11	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	97362	99.3%
steady	657	0.7%
up	23	< 0.1%
down	11	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
o	97373	49.0%
N	97362	49.0%
S	657	0.3%
t	657	0.3%
e	657	0.3%
a	657	0.3%
d	657	0.3%
y	657	0.3%
U	23	< 0.1%
p	23	< 0.1%
Other values (3)	33	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	100703	50.7%
Uppercase Letter	98053	49.3%

Most frequent character per category

Value	Count	Frequency (%)
o	97373	96.7%
t	657	0.7%
e	657	0.7%
a	657	0.7%
d	657	0.7%
y	657	0.7%
p	23	< 0.1%
w	11	< 0.1%
n	11	< 0.1%

Value	Count	Frequency (%)
N	97362	99.3%
S	657	0.7%
U	23	< 0.1%
D	11	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	198756	100.0%

Most frequent character per script

Value	Count	Frequency (%)
o	97373	49.0%
N	97362	49.0%
S	657	0.3%
t	657	0.3%
e	657	0.3%
a	657	0.3%
d	657	0.3%
y	657	0.3%
U	23	< 0.1%
p	23	< 0.1%
Other values (3)	33	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	198756	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	97373	49.0%
N	97362	49.0%
S	657	0.3%
t	657	0.3%
e	657	0.3%
a	657	0.3%
d	657	0.3%
y	657	0.3%
U	23	< 0.1%
p	23	< 0.1%
Other values (3)	33	< 0.1%

chlorpropamide
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	97970
Steady	76
Up	6
Down	1

Length

Max length	6
Median length	2
Mean length	2.003120761
Min length	2

Characters and Unicode

Total characters	196412
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
No	97970	99.9%
Steady	76	0.1%
Up	6	< 0.1%
Down	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	97970	99.9%
steady	76	0.1%
up	6	< 0.1%
down	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
o	97971	49.9%
N	97970	49.9%
S	76	< 0.1%
t	76	< 0.1%
e	76	< 0.1%
a	76	< 0.1%
d	76	< 0.1%
y	76	< 0.1%
U	6	< 0.1%
p	6	< 0.1%
Other values (3)	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	98359	50.1%
Uppercase Letter	98053	49.9%

Most frequent character per category

Value	Count	Frequency (%)
o	97971	99.6%
t	76	0.1%
e	76	0.1%
a	76	0.1%
d	76	0.1%
y	76	0.1%
p	6	< 0.1%
w	1	< 0.1%
n	1	< 0.1%

Value	Count	Frequency (%)
N	97970	99.9%
S	76	0.1%
U	6	< 0.1%
D	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	196412	100.0%

Most frequent character per script

Value	Count	Frequency (%)
o	97971	49.9%
N	97970	49.9%
S	76	< 0.1%
t	76	< 0.1%
e	76	< 0.1%
a	76	< 0.1%
d	76	< 0.1%
y	76	< 0.1%
U	6	< 0.1%
p	6	< 0.1%
Other values (3)	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	196412	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	97971	49.9%
N	97970	49.9%
S	76	< 0.1%
t	76	< 0.1%
e	76	< 0.1%
a	76	< 0.1%
d	76	< 0.1%
y	76	< 0.1%
U	6	< 0.1%
p	6	< 0.1%
Other values (3)	3	< 0.1%

glimepiride
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	93066
Steady	4488
Up	315
Down	184

Length

Max length	6
Median length	2
Mean length	2.186837731
Min length	2

Characters and Unicode

Total characters	214426
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
No	93066	94.9%
Steady	4488	4.6%
Up	315	0.3%
Down	184	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	93066	94.9%
steady	4488	4.6%
up	315	0.3%
down	184	0.2%

Most occurring characters

Value	Count	Frequency (%)
o	93250	43.5%
N	93066	43.4%
S	4488	2.1%
t	4488	2.1%
e	4488	2.1%
a	4488	2.1%
d	4488	2.1%
y	4488	2.1%
U	315	0.1%
p	315	0.1%
Other values (3)	552	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	116373	54.3%
Uppercase Letter	98053	45.7%

Most frequent character per category

Value	Count	Frequency (%)
o	93250	80.1%
t	4488	3.9%
e	4488	3.9%
a	4488	3.9%
d	4488	3.9%
y	4488	3.9%
p	315	0.3%
w	184	0.2%
n	184	0.2%

Value	Count	Frequency (%)
N	93066	94.9%
S	4488	4.6%
U	315	0.3%
D	184	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	214426	100.0%

Most frequent character per script

Value	Count	Frequency (%)
o	93250	43.5%
N	93066	43.4%
S	4488	2.1%
t	4488	2.1%
e	4488	2.1%
a	4488	2.1%
d	4488	2.1%
y	4488	2.1%
U	315	0.1%
p	315	0.1%
Other values (3)	552	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	214426	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	93250	43.5%
N	93066	43.4%
S	4488	2.1%
t	4488	2.1%
e	4488	2.1%
a	4488	2.1%
d	4488	2.1%
y	4488	2.1%
U	315	0.1%
p	315	0.1%
Other values (3)	552	0.3%

acetohexamide
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	98052
Steady	1

Length

Max length	6
Median length	2
Mean length	2.000040794
Min length	2

Characters and Unicode

Total characters	196110
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
No	98052	> 99.9%
Steady	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	98052	> 99.9%
steady	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
N	98052	50.0%
o	98052	50.0%
S	1	< 0.1%
t	1	< 0.1%
e	1	< 0.1%
a	1	< 0.1%
d	1	< 0.1%
y	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	98057	50.0%
Uppercase Letter	98053	50.0%

Most frequent character per category

Value	Count	Frequency (%)
o	98052	> 99.9%
t	1	< 0.1%
e	1	< 0.1%
a	1	< 0.1%
d	1	< 0.1%
y	1	< 0.1%

Value	Count	Frequency (%)
N	98052	> 99.9%
S	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	196110	100.0%

Most frequent character per script

Value	Count	Frequency (%)
N	98052	50.0%
o	98052	50.0%
S	1	< 0.1%
t	1	< 0.1%
e	1	< 0.1%
a	1	< 0.1%
d	1	< 0.1%
y	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	196110	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	98052	50.0%
o	98052	50.0%
S	1	< 0.1%
t	1	< 0.1%
e	1	< 0.1%
a	1	< 0.1%
d	1	< 0.1%
y	1	< 0.1%

glipizide
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	85769
Steady	10991
Up	752
Down	541

Length

Max length	6
Median length	2
Mean length	2.459404608
Min length	2

Characters and Unicode

Total characters	241152
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	Steady
3rd row	No
4th row	Steady
5th row	No

Value	Count	Frequency (%)
No	85769	87.5%
Steady	10991	11.2%
Up	752	0.8%
Down	541	0.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	85769	87.5%
steady	10991	11.2%
up	752	0.8%
down	541	0.6%

Most occurring characters

Value	Count	Frequency (%)
o	86310	35.8%
N	85769	35.6%
S	10991	4.6%
t	10991	4.6%
e	10991	4.6%
a	10991	4.6%
d	10991	4.6%
y	10991	4.6%
U	752	0.3%
p	752	0.3%
Other values (3)	1623	0.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	143099	59.3%
Uppercase Letter	98053	40.7%

Most frequent character per category

Value	Count	Frequency (%)
o	86310	60.3%
t	10991	7.7%
e	10991	7.7%
a	10991	7.7%
d	10991	7.7%
y	10991	7.7%
p	752	0.5%
w	541	0.4%
n	541	0.4%

Value	Count	Frequency (%)
N	85769	87.5%
S	10991	11.2%
U	752	0.8%
D	541	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	241152	100.0%

Most frequent character per script

Value	Count	Frequency (%)
o	86310	35.8%
N	85769	35.6%
S	10991	4.6%
t	10991	4.6%
e	10991	4.6%
a	10991	4.6%
d	10991	4.6%
y	10991	4.6%
U	752	0.3%
p	752	0.3%
Other values (3)	1623	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	241152	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	86310	35.8%
N	85769	35.6%
S	10991	4.6%
t	10991	4.6%
e	10991	4.6%
a	10991	4.6%
d	10991	4.6%
y	10991	4.6%
U	752	0.3%
p	752	0.3%
Other values (3)	1623	0.7%

glyburide
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	87792
Steady	8932
Up	791
Down	538

Length

Max length	6
Median length	2
Mean length	2.375348026
Min length	2

Characters and Unicode

Total characters	232910
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
No	87792	89.5%
Steady	8932	9.1%
Up	791	0.8%
Down	538	0.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	87792	89.5%
steady	8932	9.1%
up	791	0.8%
down	538	0.5%

Most occurring characters

Value	Count	Frequency (%)
o	88330	37.9%
N	87792	37.7%
S	8932	3.8%
t	8932	3.8%
e	8932	3.8%
a	8932	3.8%
d	8932	3.8%
y	8932	3.8%
U	791	0.3%
p	791	0.3%
Other values (3)	1614	0.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	134857	57.9%
Uppercase Letter	98053	42.1%

Most frequent character per category

Value	Count	Frequency (%)
o	88330	65.5%
t	8932	6.6%
e	8932	6.6%
a	8932	6.6%
d	8932	6.6%
y	8932	6.6%
p	791	0.6%
w	538	0.4%
n	538	0.4%

Value	Count	Frequency (%)
N	87792	89.5%
S	8932	9.1%
U	791	0.8%
D	538	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	232910	100.0%

Most frequent character per script

Value	Count	Frequency (%)
o	88330	37.9%
N	87792	37.7%
S	8932	3.8%
t	8932	3.8%
e	8932	3.8%
a	8932	3.8%
d	8932	3.8%
y	8932	3.8%
U	791	0.3%
p	791	0.3%
Other values (3)	1614	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	232910	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	88330	37.9%
N	87792	37.7%
S	8932	3.8%
t	8932	3.8%
e	8932	3.8%
a	8932	3.8%
d	8932	3.8%
y	8932	3.8%
U	791	0.3%
p	791	0.3%
Other values (3)	1614	0.7%

tolbutamide
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	98031
Steady	22

Length

Max length	6
Median length	2
Mean length	2.000897474
Min length	2

Characters and Unicode

Total characters	196194
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
No	98031	> 99.9%
Steady	22	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	98031	> 99.9%
steady	22	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
N	98031	50.0%
o	98031	50.0%
S	22	< 0.1%
t	22	< 0.1%
e	22	< 0.1%
a	22	< 0.1%
d	22	< 0.1%
y	22	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	98141	50.0%
Uppercase Letter	98053	50.0%

Most frequent character per category

Value	Count	Frequency (%)
o	98031	99.9%
t	22	< 0.1%
e	22	< 0.1%
a	22	< 0.1%
d	22	< 0.1%
y	22	< 0.1%

Value	Count	Frequency (%)
N	98031	> 99.9%
S	22	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	196194	100.0%

Most frequent character per script

Value	Count	Frequency (%)
N	98031	50.0%
o	98031	50.0%
S	22	< 0.1%
t	22	< 0.1%
e	22	< 0.1%
a	22	< 0.1%
d	22	< 0.1%
y	22	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	196194	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	98031	50.0%
o	98031	50.0%
S	22	< 0.1%
t	22	< 0.1%
e	22	< 0.1%
a	22	< 0.1%
d	22	< 0.1%
y	22	< 0.1%

pioglitazone
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	90955
Steady	6756
Up	227
Down	115

Length

Max length	6
Median length	2
Mean length	2.27795172
Min length	2

Characters and Unicode

Total characters	223360
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
No	90955	92.8%
Steady	6756	6.9%
Up	227	0.2%
Down	115	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	90955	92.8%
steady	6756	6.9%
up	227	0.2%
down	115	0.1%

Most occurring characters

Value	Count	Frequency (%)
o	91070	40.8%
N	90955	40.7%
S	6756	3.0%
t	6756	3.0%
e	6756	3.0%
a	6756	3.0%
d	6756	3.0%
y	6756	3.0%
U	227	0.1%
p	227	0.1%
Other values (3)	345	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	125307	56.1%
Uppercase Letter	98053	43.9%

Most frequent character per category

Value	Count	Frequency (%)
o	91070	72.7%
t	6756	5.4%
e	6756	5.4%
a	6756	5.4%
d	6756	5.4%
y	6756	5.4%
p	227	0.2%
w	115	0.1%
n	115	0.1%

Value	Count	Frequency (%)
N	90955	92.8%
S	6756	6.9%
U	227	0.2%
D	115	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	223360	100.0%

Most frequent character per script

Value	Count	Frequency (%)
o	91070	40.8%
N	90955	40.7%
S	6756	3.0%
t	6756	3.0%
e	6756	3.0%
a	6756	3.0%
d	6756	3.0%
y	6756	3.0%
U	227	0.1%
p	227	0.1%
Other values (3)	345	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	223360	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	91070	40.8%
N	90955	40.7%
S	6756	3.0%
t	6756	3.0%
e	6756	3.0%
a	6756	3.0%
d	6756	3.0%
y	6756	3.0%
U	227	0.1%
p	227	0.1%
Other values (3)	345	0.2%

rosiglitazone
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	91887
Steady	5908
Up	174
Down	84

Length

Max length	6
Median length	2
Mean length	2.242725873
Min length	2

Characters and Unicode

Total characters	219906
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
No	91887	93.7%
Steady	5908	6.0%
Up	174	0.2%
Down	84	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	91887	93.7%
steady	5908	6.0%
up	174	0.2%
down	84	0.1%

Most occurring characters

Value	Count	Frequency (%)
o	91971	41.8%
N	91887	41.8%
S	5908	2.7%
t	5908	2.7%
e	5908	2.7%
a	5908	2.7%
d	5908	2.7%
y	5908	2.7%
U	174	0.1%
p	174	0.1%
Other values (3)	252	0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	121853	55.4%
Uppercase Letter	98053	44.6%

Most frequent character per category

Value	Count	Frequency (%)
o	91971	75.5%
t	5908	4.8%
e	5908	4.8%
a	5908	4.8%
d	5908	4.8%
y	5908	4.8%
p	174	0.1%
w	84	0.1%
n	84	0.1%

Value	Count	Frequency (%)
N	91887	93.7%
S	5908	6.0%
U	174	0.2%
D	84	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	219906	100.0%

Most frequent character per script

Value	Count	Frequency (%)
o	91971	41.8%
N	91887	41.8%
S	5908	2.7%
t	5908	2.7%
e	5908	2.7%
a	5908	2.7%
d	5908	2.7%
y	5908	2.7%
U	174	0.1%
p	174	0.1%
Other values (3)	252	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	219906	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	91971	41.8%
N	91887	41.8%
S	5908	2.7%
t	5908	2.7%
e	5908	2.7%
a	5908	2.7%
d	5908	2.7%
y	5908	2.7%
U	174	0.1%
p	174	0.1%
Other values (3)	252	0.1%

acarbose
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	97754
Steady	286
Up	10
Down	3

Length

Max length	6
Median length	2
Mean length	2.011728351
Min length	2

Characters and Unicode

Total characters	197256
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
No	97754	99.7%
Steady	286	0.3%
Up	10	< 0.1%
Down	3	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	97754	99.7%
steady	286	0.3%
up	10	< 0.1%
down	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
o	97757	49.6%
N	97754	49.6%
S	286	0.1%
t	286	0.1%
e	286	0.1%
a	286	0.1%
d	286	0.1%
y	286	0.1%
U	10	< 0.1%
p	10	< 0.1%
Other values (3)	9	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	99203	50.3%
Uppercase Letter	98053	49.7%

Most frequent character per category

Value	Count	Frequency (%)
o	97757	98.5%
t	286	0.3%
e	286	0.3%
a	286	0.3%
d	286	0.3%
y	286	0.3%
p	10	< 0.1%
w	3	< 0.1%
n	3	< 0.1%

Value	Count	Frequency (%)
N	97754	99.7%
S	286	0.3%
U	10	< 0.1%
D	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	197256	100.0%

Most frequent character per script

Value	Count	Frequency (%)
o	97757	49.6%
N	97754	49.6%
S	286	0.1%
t	286	0.1%
e	286	0.1%
a	286	0.1%
d	286	0.1%
y	286	0.1%
U	10	< 0.1%
p	10	< 0.1%
Other values (3)	9	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	197256	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	97757	49.6%
N	97754	49.6%
S	286	0.1%
t	286	0.1%
e	286	0.1%
a	286	0.1%
d	286	0.1%
y	286	0.1%
U	10	< 0.1%
p	10	< 0.1%
Other values (3)	9	< 0.1%

miglitol
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	98016
Steady	31
Down	4
Up	2

Length

Max length	6
Median length	2
Mean length	2.001346211
Min length	2

Characters and Unicode

Total characters	196238
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
No	98016	> 99.9%
Steady	31	< 0.1%
Down	4	< 0.1%
Up	2	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	98016	> 99.9%
steady	31	< 0.1%
down	4	< 0.1%
up	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
o	98020	49.9%
N	98016	49.9%
S	31	< 0.1%
t	31	< 0.1%
e	31	< 0.1%
a	31	< 0.1%
d	31	< 0.1%
y	31	< 0.1%
D	4	< 0.1%
w	4	< 0.1%
Other values (3)	8	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	98185	50.0%
Uppercase Letter	98053	50.0%

Most frequent character per category

Value	Count	Frequency (%)
o	98020	99.8%
t	31	< 0.1%
e	31	< 0.1%
a	31	< 0.1%
d	31	< 0.1%
y	31	< 0.1%
w	4	< 0.1%
n	4	< 0.1%
p	2	< 0.1%

Value	Count	Frequency (%)
N	98016	> 99.9%
S	31	< 0.1%
D	4	< 0.1%
U	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	196238	100.0%

Most frequent character per script

Value	Count	Frequency (%)
o	98020	49.9%
N	98016	49.9%
S	31	< 0.1%
t	31	< 0.1%
e	31	< 0.1%
a	31	< 0.1%
d	31	< 0.1%
y	31	< 0.1%
D	4	< 0.1%
w	4	< 0.1%
Other values (3)	8	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	196238	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	98020	49.9%
N	98016	49.9%
S	31	< 0.1%
t	31	< 0.1%
e	31	< 0.1%
a	31	< 0.1%
d	31	< 0.1%
y	31	< 0.1%
D	4	< 0.1%
w	4	< 0.1%
Other values (3)	8	< 0.1%

troglitazone
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	98050
Steady	3

Length

Max length	6
Median length	2
Mean length	2.000122383
Min length	2

Characters and Unicode

Total characters	196118
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
No	98050	> 99.9%
Steady	3	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	98050	> 99.9%
steady	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
N	98050	50.0%
o	98050	50.0%
S	3	< 0.1%
t	3	< 0.1%
e	3	< 0.1%
a	3	< 0.1%
d	3	< 0.1%
y	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	98065	50.0%
Uppercase Letter	98053	50.0%

Most frequent character per category

Value	Count	Frequency (%)
o	98050	> 99.9%
t	3	< 0.1%
e	3	< 0.1%
a	3	< 0.1%
d	3	< 0.1%
y	3	< 0.1%

Value	Count	Frequency (%)
N	98050	> 99.9%
S	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	196118	100.0%

Most frequent character per script

Value	Count	Frequency (%)
N	98050	50.0%
o	98050	50.0%
S	3	< 0.1%
t	3	< 0.1%
e	3	< 0.1%
a	3	< 0.1%
d	3	< 0.1%
y	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	196118	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	98050	50.0%
o	98050	50.0%
S	3	< 0.1%
t	3	< 0.1%
e	3	< 0.1%
a	3	< 0.1%
d	3	< 0.1%
y	3	< 0.1%

tolazamide
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	98016
Steady	36
Up	1

Length

Max length	6
Median length	2
Mean length	2.001468594
Min length	2

Characters and Unicode

Total characters	196250
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
No	98016	> 99.9%
Steady	36	< 0.1%
Up	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	98016	> 99.9%
steady	36	< 0.1%
up	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
N	98016	49.9%
o	98016	49.9%
S	36	< 0.1%
t	36	< 0.1%
e	36	< 0.1%
a	36	< 0.1%
d	36	< 0.1%
y	36	< 0.1%
U	1	< 0.1%
p	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	98197	50.0%
Uppercase Letter	98053	50.0%

Most frequent character per category

Value	Count	Frequency (%)
o	98016	99.8%
t	36	< 0.1%
e	36	< 0.1%
a	36	< 0.1%
d	36	< 0.1%
y	36	< 0.1%
p	1	< 0.1%

Value	Count	Frequency (%)
N	98016	> 99.9%
S	36	< 0.1%
U	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	196250	100.0%

Most frequent character per script

Value	Count	Frequency (%)
N	98016	49.9%
o	98016	49.9%
S	36	< 0.1%
t	36	< 0.1%
e	36	< 0.1%
a	36	< 0.1%
d	36	< 0.1%
y	36	< 0.1%
U	1	< 0.1%
p	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	196250	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	98016	49.9%
o	98016	49.9%
S	36	< 0.1%
t	36	< 0.1%
e	36	< 0.1%
a	36	< 0.1%
d	36	< 0.1%
y	36	< 0.1%
U	1	< 0.1%
p	1	< 0.1%

examide
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	95.9 KiB

False	98053

Common Values
Chart

Value	Count	Frequency (%)
False	98053	100.0%

citoglipton
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	95.9 KiB

False	98053

Common Values
Chart

Value	Count	Frequency (%)
False	98053	100.0%

insulin
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	45943
Steady	29368
Down	11843
Up	10899

Length

Max length	6
Median length	2
Mean length	3.439609191
Min length	2

Characters and Unicode

Total characters	337264
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Up
2nd row	No
3rd row	Up
4th row	Steady
5th row	Steady

Value	Count	Frequency (%)
No	45943	46.9%
Steady	29368	30.0%
Down	11843	12.1%
Up	10899	11.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	45943	46.9%
steady	29368	30.0%
down	11843	12.1%
up	10899	11.1%

Most occurring characters

Value	Count	Frequency (%)
o	57786	17.1%
N	45943	13.6%
S	29368	8.7%
t	29368	8.7%
e	29368	8.7%
a	29368	8.7%
d	29368	8.7%
y	29368	8.7%
D	11843	3.5%
w	11843	3.5%
Other values (3)	33641	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	239211	70.9%
Uppercase Letter	98053	29.1%

Most frequent character per category

Value	Count	Frequency (%)
o	57786	24.2%
t	29368	12.3%
e	29368	12.3%
a	29368	12.3%
d	29368	12.3%
y	29368	12.3%
w	11843	5.0%
n	11843	5.0%
p	10899	4.6%

Value	Count	Frequency (%)
N	45943	46.9%
S	29368	30.0%
D	11843	12.1%
U	10899	11.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	337264	100.0%

Most frequent character per script

Value	Count	Frequency (%)
o	57786	17.1%
N	45943	13.6%
S	29368	8.7%
t	29368	8.7%
e	29368	8.7%
a	29368	8.7%
d	29368	8.7%
y	29368	8.7%
D	11843	3.5%
w	11843	3.5%
Other values (3)	33641	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	337264	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	57786	17.1%
N	45943	13.6%
S	29368	8.7%
t	29368	8.7%
e	29368	8.7%
a	29368	8.7%
d	29368	8.7%
y	29368	8.7%
D	11843	3.5%
w	11843	3.5%
Other values (3)	33641	10.0%

glyburide-metformin
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	97384
Steady	660
Up	6
Down	3

Length

Max length	6
Median length	2
Mean length	2.026985406
Min length	2

Characters and Unicode

Total characters	198752
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
No	97384	99.3%
Steady	660	0.7%
Up	6	< 0.1%
Down	3	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	97384	99.3%
steady	660	0.7%
up	6	< 0.1%
down	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
o	97387	49.0%
N	97384	49.0%
S	660	0.3%
t	660	0.3%
e	660	0.3%
a	660	0.3%
d	660	0.3%
y	660	0.3%
U	6	< 0.1%
p	6	< 0.1%
Other values (3)	9	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	100699	50.7%
Uppercase Letter	98053	49.3%

Most frequent character per category

Value	Count	Frequency (%)
o	97387	96.7%
t	660	0.7%
e	660	0.7%
a	660	0.7%
d	660	0.7%
y	660	0.7%
p	6	< 0.1%
w	3	< 0.1%
n	3	< 0.1%

Value	Count	Frequency (%)
N	97384	99.3%
S	660	0.7%
U	6	< 0.1%
D	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	198752	100.0%

Most frequent character per script

Value	Count	Frequency (%)
o	97387	49.0%
N	97384	49.0%
S	660	0.3%
t	660	0.3%
e	660	0.3%
a	660	0.3%
d	660	0.3%
y	660	0.3%
U	6	< 0.1%
p	6	< 0.1%
Other values (3)	9	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	198752	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	97387	49.0%
N	97384	49.0%
S	660	0.3%
t	660	0.3%
e	660	0.3%
a	660	0.3%
d	660	0.3%
y	660	0.3%
U	6	< 0.1%
p	6	< 0.1%
Other values (3)	9	< 0.1%

glipizide-metformin
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	98040
Steady	13

Length

Max length	6
Median length	2
Mean length	2.000530325
Min length	2

Characters and Unicode

Total characters	196158
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
No	98040	> 99.9%
Steady	13	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	98040	> 99.9%
steady	13	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
N	98040	50.0%
o	98040	50.0%
S	13	< 0.1%
t	13	< 0.1%
e	13	< 0.1%
a	13	< 0.1%
d	13	< 0.1%
y	13	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	98105	50.0%
Uppercase Letter	98053	50.0%

Most frequent character per category

Value	Count	Frequency (%)
o	98040	99.9%
t	13	< 0.1%
e	13	< 0.1%
a	13	< 0.1%
d	13	< 0.1%
y	13	< 0.1%

Value	Count	Frequency (%)
N	98040	> 99.9%
S	13	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	196158	100.0%

Most frequent character per script

Value	Count	Frequency (%)
N	98040	50.0%
o	98040	50.0%
S	13	< 0.1%
t	13	< 0.1%
e	13	< 0.1%
a	13	< 0.1%
d	13	< 0.1%
y	13	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	196158	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	98040	50.0%
o	98040	50.0%
S	13	< 0.1%
t	13	< 0.1%
e	13	< 0.1%
a	13	< 0.1%
d	13	< 0.1%
y	13	< 0.1%

glimepiride-pioglitazone
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	98052
Steady	1

Length

Max length	6
Median length	2
Mean length	2.000040794
Min length	2

Characters and Unicode

Total characters	196110
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
No	98052	> 99.9%
Steady	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	98052	> 99.9%
steady	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
N	98052	50.0%
o	98052	50.0%
S	1	< 0.1%
t	1	< 0.1%
e	1	< 0.1%
a	1	< 0.1%
d	1	< 0.1%
y	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	98057	50.0%
Uppercase Letter	98053	50.0%

Most frequent character per category

Value	Count	Frequency (%)
o	98052	> 99.9%
t	1	< 0.1%
e	1	< 0.1%
a	1	< 0.1%
d	1	< 0.1%
y	1	< 0.1%

Value	Count	Frequency (%)
N	98052	> 99.9%
S	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	196110	100.0%

Most frequent character per script

Value	Count	Frequency (%)
N	98052	50.0%
o	98052	50.0%
S	1	< 0.1%
t	1	< 0.1%
e	1	< 0.1%
a	1	< 0.1%
d	1	< 0.1%
y	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	196110	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	98052	50.0%
o	98052	50.0%
S	1	< 0.1%
t	1	< 0.1%
e	1	< 0.1%
a	1	< 0.1%
d	1	< 0.1%
y	1	< 0.1%

metformin-rosiglitazone
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	95.9 KiB

False	98053

Common Values
Chart

Value	Count	Frequency (%)
False	98053	100.0%

metformin-pioglitazone
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	98052
Steady	1

Length

Max length	6
Median length	2
Mean length	2.000040794
Min length	2

Characters and Unicode

Total characters	196110
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
No	98052	> 99.9%
Steady	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	98052	> 99.9%
steady	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
N	98052	50.0%
o	98052	50.0%
S	1	< 0.1%
t	1	< 0.1%
e	1	< 0.1%
a	1	< 0.1%
d	1	< 0.1%
y	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	98057	50.0%
Uppercase Letter	98053	50.0%

Most frequent character per category

Value	Count	Frequency (%)
o	98052	> 99.9%
t	1	< 0.1%
e	1	< 0.1%
a	1	< 0.1%
d	1	< 0.1%
y	1	< 0.1%

Value	Count	Frequency (%)
N	98052	> 99.9%
S	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	196110	100.0%

Most frequent character per script

Value	Count	Frequency (%)
N	98052	50.0%
o	98052	50.0%
S	1	< 0.1%
t	1	< 0.1%
e	1	< 0.1%
a	1	< 0.1%
d	1	< 0.1%
y	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	196110	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	98052	50.0%
o	98052	50.0%
S	1	< 0.1%
t	1	< 0.1%
e	1	< 0.1%
a	1	< 0.1%
d	1	< 0.1%
y	1	< 0.1%

change
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

No	52774
Ch	45279

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	196106
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ch
2nd row	No
3rd row	Ch
4th row	Ch
5th row	No

Value	Count	Frequency (%)
No	52774	53.8%
Ch	45279	46.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	52774	53.8%
ch	45279	46.2%

Most occurring characters

Value	Count	Frequency (%)
N	52774	26.9%
o	52774	26.9%
C	45279	23.1%
h	45279	23.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	98053	50.0%
Lowercase Letter	98053	50.0%

Most frequent character per category

Value	Count	Frequency (%)
N	52774	53.8%
C	45279	46.2%

Value	Count	Frequency (%)
o	52774	53.8%
h	45279	46.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	196106	100.0%

Most frequent character per script

Value	Count	Frequency (%)
N	52774	26.9%
o	52774	26.9%
C	45279	23.1%
h	45279	23.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	196106	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	52774	26.9%
o	52774	26.9%
C	45279	23.1%
h	45279	23.1%

diabetesMed
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	95.9 KiB

True	75351
False	22702

Common Values
Chart

Value	Count	Frequency (%)
True	75351	76.8%
False	22702	23.2%

readmitted
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	766.2 KiB

NO	52338
>30	34649
<30	11066

Length

Max length	3
Median length	2
Mean length	2.466227448
Min length	2

Characters and Unicode

Total characters	241821
Distinct characters	6
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	>30
2nd row	NO
3rd row	NO
4th row	NO
5th row	>30

Value	Count	Frequency (%)
NO	52338	53.4%
>30	34649	35.3%
<30	11066	11.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	52338	53.4%
30	45715	46.6%

Most occurring characters

Value	Count	Frequency (%)
N	52338	21.6%
O	52338	21.6%
3	45715	18.9%
0	45715	18.9%
>	34649	14.3%
<	11066	4.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	104676	43.3%
Decimal Number	91430	37.8%
Math Symbol	45715	18.9%

Most frequent character per category

Value	Count	Frequency (%)
>	34649	75.8%
<	11066	24.2%

Value	Count	Frequency (%)
3	45715	50.0%
0	45715	50.0%

Value	Count	Frequency (%)
N	52338	50.0%
O	52338	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	137145	56.7%
Latin	104676	43.3%

Most frequent character per script

Value	Count	Frequency (%)
3	45715	33.3%
0	45715	33.3%
>	34649	25.3%
<	11066	8.1%

Value	Count	Frequency (%)
N	52338	50.0%
O	52338	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	241821	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	52338	21.6%
O	52338	21.6%
3	45715	18.9%
0	45715	18.9%
>	34649	14.3%
<	11066	4.6%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	race	gender	age	admission_type_id	discharge_disposition_id	admission_source_id	time_in_hospital	num_lab_procedures	num_procedures	num_medications	number_outpatient	number_inpatient	diag_1	diag_2	diag_3	number_diagnoses	max_glu_serum	A1Cresult	metformin	repaglinide	nateglinide	chlorpropamide	glimepiride	acetohexamide	glipizide	glyburide	tolbutamide	pioglitazone	rosiglitazone	acarbose	miglitol	troglitazone	tolazamide	examide	citoglipton	insulin	glyburide-metformin	glipizide-metformin	glimepiride-pioglitazone	metformin-rosiglitazone	metformin-pioglitazone	change	diabetesMed	readmitted
0	1	Caucasian	Female	[10-20)	1	1	7	3	59	0	18	0	0	276	250.01	255	9	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Up	No	No	No	No	No	Ch	Yes	>30
1	2	AfricanAmerican	Female	[20-30)	1	1	7	2	11	5	13	2	1	648	250	V27	6	None	None	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	NO
2	3	Caucasian	Male	[30-40)	1	1	7	2	44	1	16	0	0	8	250.43	403	7	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Up	No	No	No	No	No	Ch	Yes	NO
3	4	Caucasian	Male	[40-50)	1	1	7	1	51	0	8	0	0	197	157	250	5	None	None	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	Ch	Yes	NO
4	5	Caucasian	Male	[50-60)	2	1	2	3	31	6	16	0	0	414	411	250	9	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	Yes	>30
5	6	Caucasian	Male	[60-70)	3	1	2	4	70	1	21	0	0	414	411	V45	7	None	None	Steady	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	Ch	Yes	NO
6	7	Caucasian	Male	[70-80)	1	1	7	5	73	0	12	0	0	428	492	250	8	None	None	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	>30
7	8	Caucasian	Female	[80-90)	2	1	4	13	68	2	28	0	0	398	427	38	8	None	None	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	Ch	Yes	NO
8	9	Caucasian	Female	[90-100)	3	3	4	12	33	3	18	0	0	434	198	486	8	None	None	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	Steady	No	No	No	No	No	Ch	Yes	NO
9	10	AfricanAmerican	Female	[40-50)	1	1	7	9	47	2	17	0	0	250.7	403	996	9	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	Yes	>30

Last rows

	df_index	race	gender	age	admission_type_id	discharge_disposition_id	admission_source_id	time_in_hospital	num_lab_procedures	num_procedures	num_medications	number_outpatient	number_emergency	number_inpatient	diag_1	diag_2	diag_3	number_diagnoses	max_glu_serum	A1Cresult	metformin	repaglinide	nateglinide	chlorpropamide	glimepiride	acetohexamide	glipizide	glyburide	tolbutamide	pioglitazone	rosiglitazone	acarbose	miglitol	troglitazone	tolazamide	examide	citoglipton	insulin	glyburide-metformin	glipizide-metformin	glimepiride-pioglitazone	metformin-rosiglitazone	metformin-pioglitazone	change	diabetesMed	readmitted
98043	101756	Other	Female	[60-70)	1	1	7	2	46	6	17	1	1	1	996	585	403	9	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	Yes	>30
98044	101757	Caucasian	Female	[70-80)	1	1	7	5	21	1	16	0	0	1	491	518	511	9	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	Yes	NO
98045	101758	Caucasian	Female	[80-90)	1	1	7	5	76	1	22	0	1	0	292	8	304	9	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Up	No	No	No	No	No	Ch	Yes	NO
98046	101759	Caucasian	Male	[80-90)	1	1	7	1	1	0	15	3	0	0	435	784	250	7	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Up	No	No	No	No	No	Ch	Yes	NO
98047	101760	AfricanAmerican	Female	[60-70)	1	1	7	6	45	1	25	3	1	2	345	438	412	9	None	None	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	Down	No	No	No	No	No	Ch	Yes	>30
98048	101761	AfricanAmerican	Male	[70-80)	1	3	7	3	51	0	16	0	0	0	250.13	291	458	9	None	>8	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Down	No	No	No	No	No	Ch	Yes	>30
98049	101762	AfricanAmerican	Female	[80-90)	1	4	5	5	33	3	18	0	0	1	560	276	787	9	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	Yes	NO
98050	101763	Caucasian	Male	[70-80)	1	1	7	1	53	0	9	1	0	0	38	590	296	13	None	None	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Down	No	No	No	No	No	Ch	Yes	NO
98051	101764	Caucasian	Female	[80-90)	2	3	7	10	45	2	21	0	0	1	996	285	998	9	None	None	No	No	No	No	No	No	Steady	No	No	Steady	No	No	No	No	No	No	No	Up	No	No	No	No	No	Ch	Yes	NO
98052	101765	Caucasian	Male	[70-80)	1	1	7	6	13	3	3	0	0	0	530	530	787	9	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	NO

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters