Overview

Dataset statistics

Number of variables22
Number of observations30
Missing cells35
Missing cells (%)5.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory201.4 B

Variable types

Numeric16
Categorical6

Dataset

Description천식환자의 COPD와 Asthma의 진단여부천식환자의 COPD와 Asthma의 진단여부와 진단년도 호기산화질소검사 측정 HDL0, LDL0, TG0, TC0, CBC0_wbc, CBC0_eosinophil, CBC0_neutro, CBC0_platelet, apoA0, apoB0의 결과 값을 확인할 수 있음. COPD진단여부 : 0은 No, 1은 Yes로 구분 하였음_ Asthma의 진단여부 : 0은 No, 1은 Yes로 구분 하였음
Author가톨릭대학교 서울성모병원
URLhttp://cmcdata.net/data/dataset/copd-asthma-condition-measurement

Alerts

TG0 is highly imbalanced (68.6%)Imbalance
APOA0 is highly imbalanced (68.6%)Imbalance
APOB0 is highly imbalanced (68.6%)Imbalance
WT has 1 (3.3%) missing valuesMissing
SBP has 2 (6.7%) missing valuesMissing
DBP has 2 (6.7%) missing valuesMissing
COPD_Yr has 12 (40.0%) missing valuesMissing
ASTHMA_Yr has 7 (23.3%) missing valuesMissing
HDL0 has 2 (6.7%) missing valuesMissing
LDL0 has 2 (6.7%) missing valuesMissing
TC0 has 1 (3.3%) missing valuesMissing
CBC0_WBC has 3 (10.0%) missing valuesMissing
CBC0_PLATELET has 3 (10.0%) missing valuesMissing
PATID has unique valuesUnique

Reproduction

Analysis started2023-10-08 18:57:19.796798
Analysis finished2023-10-08 18:57:20.275815
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

PATID
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:57:20.421179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-10-09T03:57:20.673729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

AGE
Real number (ℝ)

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.1
Minimum37
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:57:20.869429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile41.5
Q158.25
median69
Q375
95-th percentile81.1
Maximum87
Range50
Interquartile range (IQR)16.75

Descriptive statistics

Standard deviation13.217935
Coefficient of variation (CV)0.19996875
Kurtosis-0.23688827
Mean66.1
Median Absolute Deviation (MAD)8
Skewness-0.74371464
Sum1983
Variance174.71379
MonotonicityNot monotonic
2023-10-09T03:57:21.085800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
75 5
 
16.7%
78 2
 
6.7%
67 2
 
6.7%
37 2
 
6.7%
54 1
 
3.3%
72 1
 
3.3%
82 1
 
3.3%
71 1
 
3.3%
58 1
 
3.3%
68 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
37 2
6.7%
47 1
3.3%
48 1
3.3%
49 1
3.3%
52 1
3.3%
54 1
3.3%
58 1
3.3%
59 1
3.3%
62 1
3.3%
64 1
3.3%
ValueCountFrequency (%)
87 1
 
3.3%
82 1
 
3.3%
80 1
 
3.3%
79 1
 
3.3%
78 2
 
6.7%
76 1
 
3.3%
75 5
16.7%
72 1
 
3.3%
71 1
 
3.3%
70 1
 
3.3%

SEX
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
M
17 
F
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF
2nd rowF
3rd rowM
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
M 17
56.7%
F 13
43.3%

Length

2023-10-09T03:57:21.437314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:57:21.610598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 17
56.7%
f 13
43.3%

HT
Real number (ℝ)

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161.51
Minimum140.9
Maximum176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:57:21.794311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140.9
5-th percentile147.45
Q1156.475
median160.75
Q3169
95-th percentile174.775
Maximum176
Range35.1
Interquartile range (IQR)12.525

Descriptive statistics

Standard deviation8.6840063
Coefficient of variation (CV)0.053767608
Kurtosis-0.1647147
Mean161.51
Median Absolute Deviation (MAD)5.65
Skewness-0.22233503
Sum4845.3
Variance75.411966
MonotonicityNot monotonic
2023-10-09T03:57:22.030161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
169.0 3
 
10.0%
161.0 2
 
6.7%
155.0 2
 
6.7%
163.0 2
 
6.7%
159.0 2
 
6.7%
156.3 1
 
3.3%
175.0 1
 
3.3%
157.1 1
 
3.3%
147.0 1
 
3.3%
148.0 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
140.9 1
3.3%
147.0 1
3.3%
148.0 1
3.3%
152.0 1
3.3%
155.0 2
6.7%
155.2 1
3.3%
156.3 1
3.3%
157.0 1
3.3%
157.1 1
3.3%
159.0 2
6.7%
ValueCountFrequency (%)
176.0 1
 
3.3%
175.0 1
 
3.3%
174.5 1
 
3.3%
174.0 1
 
3.3%
171.0 1
 
3.3%
169.7 1
 
3.3%
169.0 3
10.0%
165.0 1
 
3.3%
164.0 1
 
3.3%
163.0 2
6.7%

WT
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)86.2%
Missing1
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean62.746552
Minimum46.9
Maximum77.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:57:22.269686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.9
5-th percentile48.04
Q156
median65
Q368
95-th percentile74.8
Maximum77.2
Range30.3
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.646551
Coefficient of variation (CV)0.13780121
Kurtosis-0.82784945
Mean62.746552
Median Absolute Deviation (MAD)6
Skewness-0.30891082
Sum1819.65
Variance74.762845
MonotonicityNot monotonic
2023-10-09T03:57:22.519698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
68.0 3
 
10.0%
63.0 2
 
6.7%
67.0 2
 
6.7%
60.6 1
 
3.3%
49.0 1
 
3.3%
46.9 1
 
3.3%
51.0 1
 
3.3%
57.0 1
 
3.3%
56.0 1
 
3.3%
65.0 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
46.9 1
3.3%
47.4 1
3.3%
49.0 1
3.3%
51.0 1
3.3%
52.0 1
3.3%
53.0 1
3.3%
55.0 1
3.3%
56.0 1
3.3%
57.0 1
3.3%
59.0 1
3.3%
ValueCountFrequency (%)
77.2 1
 
3.3%
75.3 1
 
3.3%
74.05 1
 
3.3%
74.0 1
 
3.3%
73.0 1
 
3.3%
68.0 3
10.0%
67.9 1
 
3.3%
67.0 2
6.7%
66.2 1
 
3.3%
66.1 1
 
3.3%

SBP
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)60.7%
Missing2
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean125
Minimum100
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:57:22.847005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile107.4
Q1116.5
median122
Q3130
95-th percentile157.55
Maximum165
Range65
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation15.0874
Coefficient of variation (CV)0.1206992
Kurtosis1.4954303
Mean125
Median Absolute Deviation (MAD)8
Skewness1.1194629
Sum3500
Variance227.62963
MonotonicityNot monotonic
2023-10-09T03:57:23.097587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
120 5
16.7%
130 5
16.7%
126 2
 
6.7%
112 2
 
6.7%
111 2
 
6.7%
124 1
 
3.3%
121 1
 
3.3%
100 1
 
3.3%
106 1
 
3.3%
123 1
 
3.3%
Other values (7) 7
23.3%
(Missing) 2
 
6.7%
ValueCountFrequency (%)
100 1
 
3.3%
106 1
 
3.3%
110 1
 
3.3%
111 2
 
6.7%
112 2
 
6.7%
118 1
 
3.3%
120 5
16.7%
121 1
 
3.3%
123 1
 
3.3%
124 1
 
3.3%
ValueCountFrequency (%)
165 1
 
3.3%
160 1
 
3.3%
153 1
 
3.3%
140 1
 
3.3%
132 1
 
3.3%
130 5
16.7%
126 2
 
6.7%
124 1
 
3.3%
123 1
 
3.3%
121 1
 
3.3%

DBP
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)42.9%
Missing2
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean69.285714
Minimum48
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:57:23.301329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile56.05
Q162.25
median70
Q380
95-th percentile80
Maximum80
Range32
Interquartile range (IQR)17.75

Descriptive statistics

Standard deviation9.0384247
Coefficient of variation (CV)0.13045149
Kurtosis-0.56114804
Mean69.285714
Median Absolute Deviation (MAD)10
Skewness-0.38694899
Sum1940
Variance81.693122
MonotonicityNot monotonic
2023-10-09T03:57:23.480890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
80 8
26.7%
70 5
16.7%
60 4
13.3%
68 3
 
10.0%
74 1
 
3.3%
63 1
 
3.3%
66 1
 
3.3%
55 1
 
3.3%
65 1
 
3.3%
48 1
 
3.3%
Other values (2) 2
 
6.7%
(Missing) 2
 
6.7%
ValueCountFrequency (%)
48 1
 
3.3%
55 1
 
3.3%
58 1
 
3.3%
60 4
13.3%
63 1
 
3.3%
65 1
 
3.3%
66 1
 
3.3%
68 3
10.0%
70 5
16.7%
74 1
 
3.3%
ValueCountFrequency (%)
80 8
26.7%
77 1
 
3.3%
74 1
 
3.3%
70 5
16.7%
68 3
 
10.0%
66 1
 
3.3%
65 1
 
3.3%
63 1
 
3.3%
60 4
13.3%
58 1
 
3.3%

Diag_yr
Real number (ℝ)

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2010.4667
Minimum2006
Maximum2016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:57:23.753683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2006
5-th percentile2006
Q12006.25
median2011
Q32013
95-th percentile2015.55
Maximum2016
Range10
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation3.6646808
Coefficient of variation (CV)0.0018228011
Kurtosis-1.6289206
Mean2010.4667
Median Absolute Deviation (MAD)3.5
Skewness-0.013739173
Sum60314
Variance13.429885
MonotonicityNot monotonic
2023-10-09T03:57:23.957590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2006 8
26.7%
2013 6
20.0%
2015 3
 
10.0%
2008 2
 
6.7%
2014 2
 
6.7%
2010 2
 
6.7%
2007 2
 
6.7%
2016 2
 
6.7%
2012 2
 
6.7%
2009 1
 
3.3%
ValueCountFrequency (%)
2006 8
26.7%
2007 2
 
6.7%
2008 2
 
6.7%
2009 1
 
3.3%
2010 2
 
6.7%
2012 2
 
6.7%
2013 6
20.0%
2014 2
 
6.7%
2015 3
 
10.0%
2016 2
 
6.7%
ValueCountFrequency (%)
2016 2
 
6.7%
2015 3
 
10.0%
2014 2
 
6.7%
2013 6
20.0%
2012 2
 
6.7%
2010 2
 
6.7%
2009 1
 
3.3%
2008 2
 
6.7%
2007 2
 
6.7%
2006 8
26.7%

COPD
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
18 
0
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 18
60.0%
0 12
40.0%

Length

2023-10-09T03:57:24.181136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:57:24.358142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 18
60.0%
0 12
40.0%

COPD_Yr
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)61.1%
Missing12
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean2010
Minimum1997
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:57:24.587814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1997
5-th percentile1998.7
Q12006
median2013
Q32013.75
95-th percentile2016.45
Maximum2019
Range22
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation6.0875959
Coefficient of variation (CV)0.0030286547
Kurtosis-0.14409524
Mean2010
Median Absolute Deviation (MAD)3
Skewness-0.75856828
Sum36180
Variance37.058824
MonotonicityNot monotonic
2023-10-09T03:57:25.003623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2013 5
16.7%
2006 3
 
10.0%
2016 2
 
6.7%
2014 1
 
3.3%
2019 1
 
3.3%
2015 1
 
3.3%
2008 1
 
3.3%
2003 1
 
3.3%
1997 1
 
3.3%
1999 1
 
3.3%
(Missing) 12
40.0%
ValueCountFrequency (%)
1997 1
 
3.3%
1999 1
 
3.3%
2003 1
 
3.3%
2006 3
10.0%
2008 1
 
3.3%
2010 1
 
3.3%
2013 5
16.7%
2014 1
 
3.3%
2015 1
 
3.3%
2016 2
 
6.7%
ValueCountFrequency (%)
2019 1
 
3.3%
2016 2
 
6.7%
2015 1
 
3.3%
2014 1
 
3.3%
2013 5
16.7%
2010 1
 
3.3%
2008 1
 
3.3%
2006 3
10.0%
2003 1
 
3.3%
1999 1
 
3.3%

ASTHMA
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
23 
0
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 23
76.7%
0 7
 
23.3%

Length

2023-10-09T03:57:25.315665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:57:25.480798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
76.7%
0 7
 
23.3%

ASTHMA_Yr
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)65.2%
Missing7
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean2007.4783
Minimum1997
Maximum2016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:57:25.615176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1997
5-th percentile1999.2
Q12003
median2006
Q32013
95-th percentile2016
Maximum2016
Range19
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.0292436
Coefficient of variation (CV)0.0030033917
Kurtosis-1.3056446
Mean2007.4783
Median Absolute Deviation (MAD)5
Skewness0.080642694
Sum46172
Variance36.351779
MonotonicityNot monotonic
2023-10-09T03:57:25.819979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2016 3
10.0%
2003 3
10.0%
2001 2
 
6.7%
2006 2
 
6.7%
2015 2
 
6.7%
2013 2
 
6.7%
2007 1
 
3.3%
2009 1
 
3.3%
1999 1
 
3.3%
1997 1
 
3.3%
Other values (5) 5
16.7%
(Missing) 7
23.3%
ValueCountFrequency (%)
1997 1
 
3.3%
1999 1
 
3.3%
2001 2
6.7%
2002 1
 
3.3%
2003 3
10.0%
2004 1
 
3.3%
2005 1
 
3.3%
2006 2
6.7%
2007 1
 
3.3%
2009 1
 
3.3%
ValueCountFrequency (%)
2016 3
10.0%
2015 2
6.7%
2013 2
6.7%
2012 1
 
3.3%
2010 1
 
3.3%
2009 1
 
3.3%
2007 1
 
3.3%
2006 2
6.7%
2005 1
 
3.3%
2004 1
 
3.3%

HDL0
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)82.1%
Missing2
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean52
Minimum28
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:57:26.042620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile31.35
Q140
median49
Q361.75
95-th percentile78
Maximum89
Range61
Interquartile range (IQR)21.75

Descriptive statistics

Standard deviation15.289793
Coefficient of variation (CV)0.29403449
Kurtosis-0.040803256
Mean52
Median Absolute Deviation (MAD)9.5
Skewness0.63303666
Sum1456
Variance233.77778
MonotonicityNot monotonic
2023-10-09T03:57:26.251786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
40 2
 
6.7%
48 2
 
6.7%
64 2
 
6.7%
78 2
 
6.7%
49 2
 
6.7%
61 1
 
3.3%
58 1
 
3.3%
56 1
 
3.3%
54 1
 
3.3%
47 1
 
3.3%
Other values (13) 13
43.3%
(Missing) 2
 
6.7%
ValueCountFrequency (%)
28 1
3.3%
31 1
3.3%
32 1
3.3%
37 1
3.3%
38 1
3.3%
39 1
3.3%
40 2
6.7%
41 1
3.3%
44 1
3.3%
47 1
3.3%
ValueCountFrequency (%)
89 1
3.3%
78 2
6.7%
73 1
3.3%
65 1
3.3%
64 2
6.7%
61 1
3.3%
58 1
3.3%
56 1
3.3%
54 1
3.3%
53 1
3.3%

LDL0
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)82.1%
Missing2
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean102.10714
Minimum52
Maximum141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:57:26.480640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52
5-th percentile57.85
Q188.25
median102
Q3122
95-th percentile137
Maximum141
Range89
Interquartile range (IQR)33.75

Descriptive statistics

Standard deviation24.632618
Coefficient of variation (CV)0.24124285
Kurtosis-0.54630829
Mean102.10714
Median Absolute Deviation (MAD)18.5
Skewness-0.31850933
Sum2859
Variance606.76587
MonotonicityNot monotonic
2023-10-09T03:57:26.775078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
99 3
 
10.0%
106 2
 
6.7%
77 2
 
6.7%
137 2
 
6.7%
75 1
 
3.3%
111 1
 
3.3%
132 1
 
3.3%
86 1
 
3.3%
89 1
 
3.3%
121 1
 
3.3%
Other values (13) 13
43.3%
(Missing) 2
 
6.7%
ValueCountFrequency (%)
52 1
3.3%
54 1
3.3%
65 1
3.3%
75 1
3.3%
77 2
6.7%
86 1
3.3%
89 1
3.3%
90 1
3.3%
95 1
3.3%
97 1
3.3%
ValueCountFrequency (%)
141 1
3.3%
137 2
6.7%
132 1
3.3%
129 1
3.3%
126 1
3.3%
125 1
3.3%
121 1
3.3%
120 1
3.3%
111 1
3.3%
109 1
3.3%

TG0
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
27 
160.0
 
1
331.4
 
1
80.3
 
1

Length

Max length5
Median length4
Mean length4.0666667
Min length4

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row160.0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 27
90.0%
160.0 1
 
3.3%
331.4 1
 
3.3%
80.3 1
 
3.3%

Length

2023-10-09T03:57:27.005658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:57:27.203426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
90.0%
160.0 1
 
3.3%
331.4 1
 
3.3%
80.3 1
 
3.3%

TC0
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)89.7%
Missing1
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean180.89655
Minimum114
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:57:27.392723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum114
5-th percentile127.4
Q1153
median179
Q3207
95-th percentile234
Maximum246
Range132
Interquartile range (IQR)54

Descriptive statistics

Standard deviation34.39824
Coefficient of variation (CV)0.19015421
Kurtosis-0.67188916
Mean180.89655
Median Absolute Deviation (MAD)28
Skewness-0.021193351
Sum5246
Variance1183.2389
MonotonicityNot monotonic
2023-10-09T03:57:27.658018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
179 2
 
6.7%
148 2
 
6.7%
171 2
 
6.7%
225 1
 
3.3%
184 1
 
3.3%
201 1
 
3.3%
170 1
 
3.3%
213 1
 
3.3%
177 1
 
3.3%
114 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
114 1
3.3%
127 1
3.3%
128 1
3.3%
140 1
3.3%
147 1
3.3%
148 2
6.7%
153 1
3.3%
166 1
3.3%
170 1
3.3%
171 2
6.7%
ValueCountFrequency (%)
246 1
3.3%
240 1
3.3%
225 1
3.3%
219 1
3.3%
218 1
3.3%
214 1
3.3%
213 1
3.3%
207 1
3.3%
206 1
3.3%
201 1
3.3%

CBC0_WBC
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)100.0%
Missing3
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean7.7588889
Minimum2.93
Maximum14.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:57:27.967930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.93
5-th percentile3.769
Q16.07
median7.37
Q39.295
95-th percentile13.555
Maximum14.27
Range11.34
Interquartile range (IQR)3.225

Descriptive statistics

Standard deviation2.9135563
Coefficient of variation (CV)0.37551205
Kurtosis0.16391383
Mean7.7588889
Median Absolute Deviation (MAD)1.72
Skewness0.68961489
Sum209.49
Variance8.4888103
MonotonicityNot monotonic
2023-10-09T03:57:28.345050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
6.18 1
 
3.3%
14.27 1
 
3.3%
2.93 1
 
3.3%
9.68 1
 
3.3%
8.48 1
 
3.3%
3.43 1
 
3.3%
4.56 1
 
3.3%
5.97 1
 
3.3%
7.37 1
 
3.3%
6.82 1
 
3.3%
Other values (17) 17
56.7%
(Missing) 3
 
10.0%
ValueCountFrequency (%)
2.93 1
3.3%
3.43 1
3.3%
4.56 1
3.3%
5.03 1
3.3%
5.04 1
3.3%
5.57 1
3.3%
5.97 1
3.3%
6.17 1
3.3%
6.18 1
3.3%
6.31 1
3.3%
ValueCountFrequency (%)
14.27 1
3.3%
14.14 1
3.3%
12.19 1
3.3%
11.22 1
3.3%
10.86 1
3.3%
9.68 1
3.3%
9.5 1
3.3%
9.09 1
3.3%
8.58 1
3.3%
8.48 1
3.3%

CBC0_EOSINOPHIL
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9433333
Minimum0.2
Maximum28.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:57:28.561556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.39
Q11.125
median2.85
Q35.2
95-th percentile8.195
Maximum28.8
Range28.6
Interquartile range (IQR)4.075

Descriptive statistics

Standard deviation5.2319762
Coefficient of variation (CV)1.3267902
Kurtosis18.399787
Mean3.9433333
Median Absolute Deviation (MAD)2
Skewness3.9272724
Sum118.3
Variance27.373575
MonotonicityNot monotonic
2023-10-09T03:57:28.746717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
5.2 2
 
6.7%
3.5 2
 
6.7%
5.3 1
 
3.3%
0.8 1
 
3.3%
0.3 1
 
3.3%
3.3 1
 
3.3%
2.8 1
 
3.3%
2.1 1
 
3.3%
5.7 1
 
3.3%
0.7 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0.2 1
3.3%
0.3 1
3.3%
0.5 1
3.3%
0.6 1
3.3%
0.7 1
3.3%
0.8 1
3.3%
0.9 1
3.3%
1.1 1
3.3%
1.2 1
3.3%
1.5 1
3.3%
ValueCountFrequency (%)
28.8 1
3.3%
9.5 1
3.3%
6.6 1
3.3%
6.5 1
3.3%
6.0 1
3.3%
5.7 1
3.3%
5.3 1
3.3%
5.2 2
6.7%
3.8 1
3.3%
3.6 1
3.3%

CBC0_NEUTRO
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.553333
Minimum40
Maximum77.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:57:29.264269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile41.825
Q148.75
median57.7
Q366.8
95-th percentile74.28
Maximum77.8
Range37.8
Interquartile range (IQR)18.05

Descriptive statistics

Standard deviation10.689335
Coefficient of variation (CV)0.18255724
Kurtosis-0.99532359
Mean58.553333
Median Absolute Deviation (MAD)9.35
Skewness-0.089033155
Sum1756.6
Variance114.26189
MonotonicityNot monotonic
2023-10-09T03:57:29.644503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
56.2 2
 
6.7%
41.6 1
 
3.3%
47.3 1
 
3.3%
75.0 1
 
3.3%
44.1 1
 
3.3%
55.7 1
 
3.3%
61.3 1
 
3.3%
47.6 1
 
3.3%
54.7 1
 
3.3%
55.5 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
40.0 1
3.3%
41.6 1
3.3%
42.1 1
3.3%
44.1 1
3.3%
46.4 1
3.3%
47.3 1
3.3%
47.6 1
3.3%
47.7 1
3.3%
51.9 1
3.3%
54.7 1
3.3%
ValueCountFrequency (%)
77.8 1
3.3%
75.0 1
3.3%
73.4 1
3.3%
71.8 1
3.3%
69.9 1
3.3%
68.4 1
3.3%
67.2 1
3.3%
66.9 1
3.3%
66.5 1
3.3%
64.8 1
3.3%

CBC0_PLATELET
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)96.3%
Missing3
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean225.81481
Minimum117
Maximum318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:57:29.886472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum117
5-th percentile141.8
Q1176.5
median230
Q3256.5
95-th percentile310.8
Maximum318
Range201
Interquartile range (IQR)80

Descriptive statistics

Standard deviation56.954123
Coefficient of variation (CV)0.25221606
Kurtosis-0.89589932
Mean225.81481
Median Absolute Deviation (MAD)53
Skewness-0.056786292
Sum6097
Variance3243.7721
MonotonicityNot monotonic
2023-10-09T03:57:30.213852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
176 2
 
6.7%
137 1
 
3.3%
235 1
 
3.3%
117 1
 
3.3%
225 1
 
3.3%
306 1
 
3.3%
217 1
 
3.3%
259 1
 
3.3%
204 1
 
3.3%
248 1
 
3.3%
Other values (16) 16
53.3%
(Missing) 3
 
10.0%
ValueCountFrequency (%)
117 1
3.3%
137 1
3.3%
153 1
3.3%
157 1
3.3%
168 1
3.3%
176 2
6.7%
177 1
3.3%
178 1
3.3%
204 1
3.3%
217 1
3.3%
ValueCountFrequency (%)
318 1
3.3%
312 1
3.3%
308 1
3.3%
306 1
3.3%
294 1
3.3%
286 1
3.3%
259 1
3.3%
254 1
3.3%
251 1
3.3%
248 1
3.3%

APOA0
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
27 
116
 
1
189
 
1
139
 
1

Length

Max length4
Median length4
Mean length3.9
Min length3

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 27
90.0%
116 1
 
3.3%
189 1
 
3.3%
139 1
 
3.3%

Length

2023-10-09T03:57:30.663105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:57:30.943984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
90.0%
116 1
 
3.3%
189 1
 
3.3%
139 1
 
3.3%

APOB0
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
27 
106.2
 
1
59.0
 
1
62.0
 
1

Length

Max length5
Median length4
Mean length4.0333333
Min length4

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 27
90.0%
106.2 1
 
3.3%
59.0 1
 
3.3%
62.0 1
 
3.3%

Length

2023-10-09T03:57:31.143647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:57:31.320162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
90.0%
106.2 1
 
3.3%
59.0 1
 
3.3%
62.0 1
 
3.3%

Sample

PATIDAGESEXHTWTSBPDBPDiag_yrCOPDCOPD_YrASTHMAASTHMA_YrHDL0LDL0TG0TC0CBC0_WBCCBC0_EOSINOPHILCBC0_NEUTROCBC0_PLATELETAPOA0APOB0
0154F156.375.31107020080<NA>1200740106160.0225<NA>5.341.6<NA><NA><NA>
1275F140.947.4130702014120140<NA><NA><NA><NA><NA>8.580.971.8246<NA><NA>
2348M164.066.11208020090<NA>1200944137<NA>2066.186.051.9237<NA><NA>
3478M161.063.013274201312013120012852<NA>1286.313.566.5178<NA><NA>
4549M169.074.05112702006120191200639109<NA>2197.789.542.1153<NA><NA>
5675F157.064.0130802015120150<NA>53105<NA>17411.221.262.5230<NA><NA>
6775M160.567.911160200812008119995875<NA>1475.572.973.4157<NA><NA>
7866F155.053.0<NA><NA>20100<NA>119976199<NA>2407.923.564.2228<NA><NA>
8952F163.066.0120802007120031201648129331.41955.040.656.2176116106.2
91070M174.574.0165682013120130<NA>4999<NA>1799.50.566.9168<NA><NA>
PATIDAGESEXHTWTSBPDBPDiag_yrCOPDCOPD_YrASTHMAASTHMA_YrHDL0LDL0TG0TC0CBC0_WBCCBC0_EOSINOPHILCBC0_NEUTROCBC0_PLATELETAPOA0APOB0
202176F159.166.211165201312013120134195<NA>12710.863.658.628613962.0
212262M171.055.01234820061200612006<NA><NA><NA>2076.821.564.5312<NA><NA>
222368M169.065.012080200611999120033765<NA>1717.370.277.8248<NA><NA>
232458F152.056.01308020060<NA>120034797<NA>1865.970.755.5204<NA><NA>
242571F155.057.01066020060<NA>120054877<NA>1144.565.754.7259<NA><NA>
252667F159.067.01308020120<NA>1201264106<NA>1773.432.147.6217<NA><NA>
262767F148.068.01007020120<NA>1200478121<NA>2138.482.861.3306<NA><NA>
272875M147.051.0121772006120060<NA>5489<NA>1489.683.355.7225<NA><NA>
282937F157.146.912460201312013120135686<NA>1702.930.344.1117<NA><NA>
293082M163.049.0126582013120101201549132<NA>20114.270.875.0235<NA><NA>