Overview

Dataset statistics

Number of variables22
Number of observations30
Missing cells58
Missing cells (%)8.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory192.4 B

Variable types

Categorical9
Numeric11
Text2

Dataset

Description- 간염 관리 및 간암 발생 중재법 도출
Author병무청
URLhttps://www.data.go.kr/data/15100313/fileData.do

Alerts

성명 has constant value ""Constant
생년월일 has constant value ""Constant
B형 간염(결과) has constant value ""Constant
뇨침사(백혈구) has constant value ""Constant
뇨침사(적혈구) has constant value ""Constant
당화혈색소(HBA1C) is highly imbalanced (78.9%)Imbalance
뇨당 is highly imbalanced (78.9%)Imbalance
혈뇨 is highly imbalanced (64.6%)Imbalance
단백뇨 is highly imbalanced (64.7%)Imbalance
뇨침사(백혈구) has 29 (96.7%) missing valuesMissing
뇨침사(적혈구) has 29 (96.7%) missing valuesMissing
체중 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:27:17.251538
Analysis finished2023-12-12 10:27:17.536648
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

성명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
***
30 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row***
2nd row***
3rd row***
4th row***
5th row***

Common Values

ValueCountFrequency (%)
*** 30
100.0%

Length

2023-12-12T19:27:17.610246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:17.745939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30
100.0%

생년월일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
********
30 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row********
2nd row********
3rd row********
4th row********
5th row********

Common Values

ValueCountFrequency (%)
******** 30
100.0%

Length

2023-12-12T19:27:17.873789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:17.984888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30
100.0%

신장
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean173.39333
Minimum162.6
Maximum182.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T19:27:18.108296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum162.6
5-th percentile165.5
Q1169.25
median173.2
Q3176.925
95-th percentile182.165
Maximum182.9
Range20.3
Interquartile range (IQR)7.675

Descriptive statistics

Standard deviation5.4009535
Coefficient of variation (CV)0.031148565
Kurtosis-0.60211886
Mean173.39333
Median Absolute Deviation (MAD)3.95
Skewness0.16206585
Sum5201.8
Variance29.170299
MonotonicityNot monotonic
2023-12-12T19:27:18.318684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
169.1 2
 
6.7%
173.2 2
 
6.7%
179.2 1
 
3.3%
168.0 1
 
3.3%
181.2 1
 
3.3%
173.3 1
 
3.3%
169.7 1
 
3.3%
182.9 1
 
3.3%
162.6 1
 
3.3%
182.0 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
162.6 1
3.3%
164.6 1
3.3%
166.6 1
3.3%
168.0 1
3.3%
168.2 1
3.3%
168.3 1
3.3%
169.1 2
6.7%
169.7 1
3.3%
170.9 1
3.3%
171.2 1
3.3%
ValueCountFrequency (%)
182.9 1
3.3%
182.3 1
3.3%
182.0 1
3.3%
181.5 1
3.3%
181.2 1
3.3%
179.2 1
3.3%
178.3 1
3.3%
177.0 1
3.3%
176.7 1
3.3%
175.2 1
3.3%

체중
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.953333
Minimum50.7
Maximum118.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T19:27:18.469972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.7
5-th percentile61.455
Q169.45
median78.9
Q385.525
95-th percentile102.28
Maximum118.4
Range67.7
Interquartile range (IQR)16.075

Descriptive statistics

Standard deviation14.14776
Coefficient of variation (CV)0.17919143
Kurtosis1.0538101
Mean78.953333
Median Absolute Deviation (MAD)9.2
Skewness0.70344015
Sum2368.6
Variance200.15913
MonotonicityNot monotonic
2023-12-12T19:27:18.630915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
80.1 1
 
3.3%
73.9 1
 
3.3%
98.1 1
 
3.3%
66.0 1
 
3.3%
95.0 1
 
3.3%
82.3 1
 
3.3%
73.2 1
 
3.3%
73.6 1
 
3.3%
86.3 1
 
3.3%
90.1 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
50.7 1
3.3%
60.6 1
3.3%
62.5 1
3.3%
64.8 1
3.3%
66.0 1
3.3%
66.9 1
3.3%
68.9 1
3.3%
69.2 1
3.3%
70.2 1
3.3%
72.0 1
3.3%
ValueCountFrequency (%)
118.4 1
3.3%
105.7 1
3.3%
98.1 1
3.3%
95.0 1
3.3%
92.3 1
3.3%
90.5 1
3.3%
90.1 1
3.3%
86.3 1
3.3%
83.2 1
3.3%
82.4 1
3.3%

체질량지수(BMI)
Real number (ℝ)

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.203333
Minimum17.9
Maximum37.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T19:27:18.795662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.9
5-th percentile21.05
Q123.2
median25.2
Q328.25
95-th percentile35.375
Maximum37.7
Range19.8
Interquartile range (IQR)5.05

Descriptive statistics

Standard deviation4.5304703
Coefficient of variation (CV)0.17289672
Kurtosis1.0488489
Mean26.203333
Median Absolute Deviation (MAD)2.65
Skewness0.88381164
Sum786.1
Variance20.525161
MonotonicityNot monotonic
2023-12-12T19:27:18.952715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
24.1 3
 
10.0%
23.2 2
 
6.7%
29.8 2
 
6.7%
25.3 1
 
3.3%
21.9 1
 
3.3%
32.9 1
 
3.3%
24.6 1
 
3.3%
27.6 1
 
3.3%
22.2 1
 
3.3%
29.0 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
17.9 1
 
3.3%
20.6 1
 
3.3%
21.6 1
 
3.3%
21.8 1
 
3.3%
21.9 1
 
3.3%
22.2 1
 
3.3%
22.5 1
 
3.3%
23.2 2
6.7%
24.1 3
10.0%
24.6 1
 
3.3%
ValueCountFrequency (%)
37.7 1
3.3%
37.4 1
3.3%
32.9 1
3.3%
30.5 1
3.3%
29.8 2
6.7%
29.0 1
3.3%
28.4 1
3.3%
27.8 1
3.3%
27.7 1
3.3%
27.6 1
3.3%

B형 간염(결과)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
음성
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음성
2nd row음성
3rd row음성
4th row음성
5th row음성

Common Values

ValueCountFrequency (%)
음성 30
100.0%

Length

2023-12-12T19:27:19.130662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:19.243037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음성 30
100.0%

B형 간염(검사결과값)
Real number (ℝ)

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2244
Minimum0.1
Maximum0.558
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T19:27:19.346017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.1185
median0.165
Q30.2925
95-th percentile0.4872
Maximum0.558
Range0.458
Interquartile range (IQR)0.174

Descriptive statistics

Standard deviation0.13913268
Coefficient of variation (CV)0.62002087
Kurtosis-0.16081144
Mean0.2244
Median Absolute Deviation (MAD)0.065
Skewness1.0279839
Sum6.732
Variance0.019357903
MonotonicityNot monotonic
2023-12-12T19:27:19.486805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.1 7
23.3%
0.13 3
 
10.0%
0.22 2
 
6.7%
0.406 1
 
3.3%
0.27 1
 
3.3%
0.366 1
 
3.3%
0.558 1
 
3.3%
0.123 1
 
3.3%
0.118 1
 
3.3%
0.413 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0.1 7
23.3%
0.118 1
 
3.3%
0.12 1
 
3.3%
0.123 1
 
3.3%
0.13 3
10.0%
0.15 1
 
3.3%
0.16 1
 
3.3%
0.17 1
 
3.3%
0.18 1
 
3.3%
0.22 2
 
6.7%
ValueCountFrequency (%)
0.558 1
3.3%
0.489 1
3.3%
0.485 1
3.3%
0.413 1
3.3%
0.406 1
3.3%
0.404 1
3.3%
0.366 1
3.3%
0.3 1
3.3%
0.27 1
3.3%
0.26 1
3.3%

C형간염
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
22 
음성
8 

Length

Max length4
Median length4
Mean length3.4666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
73.3%
음성 8
 
26.7%

Length

2023-12-12T19:27:19.627275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:19.759486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
73.3%
음성 8
 
26.7%

전이효소(AST)
Real number (ℝ)

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.566667
Minimum11
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T19:27:19.874746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile13
Q117.25
median21
Q327.5
95-th percentile51.4
Maximum111
Range100
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation18.755566
Coefficient of variation (CV)0.70598116
Kurtosis14.458706
Mean26.566667
Median Absolute Deviation (MAD)5
Skewness3.4729417
Sum797
Variance351.77126
MonotonicityNot monotonic
2023-12-12T19:27:20.026503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
21 4
 
13.3%
17 2
 
6.7%
13 2
 
6.7%
22 2
 
6.7%
20 2
 
6.7%
16 2
 
6.7%
26 2
 
6.7%
18 2
 
6.7%
24 1
 
3.3%
30 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
11 1
 
3.3%
13 2
6.7%
15 1
 
3.3%
16 2
6.7%
17 2
6.7%
18 2
6.7%
20 2
6.7%
21 4
13.3%
22 2
6.7%
24 1
 
3.3%
ValueCountFrequency (%)
111 1
3.3%
55 1
3.3%
47 1
3.3%
42 1
3.3%
32 1
3.3%
30 1
3.3%
29 1
3.3%
28 1
3.3%
26 2
6.7%
25 1
3.3%

분해효소(ALT)
Real number (ℝ)

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.333333
Minimum10
Maximum171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T19:27:20.163127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile11
Q120.25
median27.5
Q342
95-th percentile104.75
Maximum171
Range161
Interquartile range (IQR)21.75

Descriptive statistics

Standard deviation35.349812
Coefficient of variation (CV)0.89872403
Kurtosis6.1679415
Mean39.333333
Median Absolute Deviation (MAD)10.5
Skewness2.3740278
Sum1180
Variance1249.6092
MonotonicityNot monotonic
2023-12-12T19:27:20.296216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
22 3
 
10.0%
38 3
 
10.0%
21 2
 
6.7%
11 2
 
6.7%
18 2
 
6.7%
43 2
 
6.7%
34 2
 
6.7%
25 1
 
3.3%
102 1
 
3.3%
52 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
10 1
 
3.3%
11 2
6.7%
13 1
 
3.3%
15 1
 
3.3%
18 2
6.7%
20 1
 
3.3%
21 2
6.7%
22 3
10.0%
24 1
 
3.3%
25 1
 
3.3%
ValueCountFrequency (%)
171 1
 
3.3%
107 1
 
3.3%
102 1
 
3.3%
94 1
 
3.3%
52 1
 
3.3%
44 1
 
3.3%
43 2
6.7%
39 1
 
3.3%
38 3
10.0%
34 2
6.7%

혈당(GLUCOSE)
Real number (ℝ)

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.63333
Minimum68
Maximum277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T19:27:20.472480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68
5-th percentile87.35
Q197.25
median103.5
Q3109.75
95-th percentile124
Maximum277
Range209
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation33.871444
Coefficient of variation (CV)0.31179605
Kurtosis22.674887
Mean108.63333
Median Absolute Deviation (MAD)6.5
Skewness4.44639
Sum3259
Variance1147.2747
MonotonicityNot monotonic
2023-12-12T19:27:20.595490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
103 3
 
10.0%
124 2
 
6.7%
106 2
 
6.7%
110 2
 
6.7%
100 2
 
6.7%
105 2
 
6.7%
104 2
 
6.7%
115 1
 
3.3%
91 1
 
3.3%
121 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
68 1
3.3%
86 1
3.3%
89 1
3.3%
91 1
3.3%
93 1
3.3%
94 1
3.3%
96 1
3.3%
97 1
3.3%
98 1
3.3%
99 1
3.3%
ValueCountFrequency (%)
277 1
3.3%
124 2
6.7%
121 1
3.3%
119 1
3.3%
115 1
3.3%
110 2
6.7%
109 1
3.3%
106 2
6.7%
105 2
6.7%
104 2
6.7%

당화혈색소(HBA1C)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
8.9
 
1

Length

Max length4
Median length4
Mean length3.9666667
Min length3

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
8.9 1
 
3.3%

Length

2023-12-12T19:27:20.751448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:20.891164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
8.9 1
 
3.3%

백혈구(혈_WBC)
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5943333
Minimum3.27
Maximum13.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T19:27:21.005000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.27
5-th percentile5.205
Q16.515
median7.485
Q38.365
95-th percentile10.283
Maximum13.09
Range9.82
Interquartile range (IQR)1.85

Descriptive statistics

Standard deviation1.917291
Coefficient of variation (CV)0.25246337
Kurtosis1.4962897
Mean7.5943333
Median Absolute Deviation (MAD)0.965
Skewness0.49100727
Sum227.83
Variance3.6760047
MonotonicityNot monotonic
2023-12-12T19:27:21.137870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
8.12 2
 
6.7%
10.58 1
 
3.3%
5.16 1
 
3.3%
13.09 1
 
3.3%
6.93 1
 
3.3%
6.98 1
 
3.3%
5.77 1
 
3.3%
8.88 1
 
3.3%
3.27 1
 
3.3%
7.5 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
3.27 1
3.3%
5.16 1
3.3%
5.26 1
3.3%
5.32 1
3.3%
5.77 1
3.3%
5.86 1
3.3%
6.12 1
3.3%
6.46 1
3.3%
6.68 1
3.3%
6.93 1
3.3%
ValueCountFrequency (%)
13.09 1
3.3%
10.58 1
3.3%
9.92 1
3.3%
9.89 1
3.3%
9.57 1
3.3%
8.94 1
3.3%
8.88 1
3.3%
8.39 1
3.3%
8.29 1
3.3%
8.19 1
3.3%

적혈구(RBC)
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.508
Minimum4.71
Maximum6.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T19:27:21.260947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.71
5-th percentile4.945
Q15.2175
median5.41
Q35.625
95-th percentile6.4985
Maximum6.68
Range1.97
Interquartile range (IQR)0.4075

Descriptive statistics

Standard deviation0.47826122
Coefficient of variation (CV)0.086830287
Kurtosis0.8125343
Mean5.508
Median Absolute Deviation (MAD)0.21
Skewness1.0510598
Sum165.24
Variance0.22873379
MonotonicityNot monotonic
2023-12-12T19:27:21.431480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
5.41 2
 
6.7%
5.0 1
 
3.3%
5.38 1
 
3.3%
5.5 1
 
3.3%
6.46 1
 
3.3%
5.56 1
 
3.3%
5.14 1
 
3.3%
5.15 1
 
3.3%
4.9 1
 
3.3%
6.53 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
4.71 1
3.3%
4.9 1
3.3%
5.0 1
3.3%
5.09 1
3.3%
5.1 1
3.3%
5.14 1
3.3%
5.15 1
3.3%
5.21 1
3.3%
5.24 1
3.3%
5.26 1
3.3%
ValueCountFrequency (%)
6.68 1
3.3%
6.53 1
3.3%
6.46 1
3.3%
6.37 1
3.3%
5.94 1
3.3%
5.81 1
3.3%
5.68 1
3.3%
5.63 1
3.3%
5.61 1
3.3%
5.56 1
3.3%

혈색소(HB)
Real number (ℝ)

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.96
Minimum13.9
Maximum18.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T19:27:21.853133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.9
5-th percentile14.68
Q115.4
median15.85
Q316.375
95-th percentile17.31
Maximum18.2
Range4.3
Interquartile range (IQR)0.975

Descriptive statistics

Standard deviation0.89234291
Coefficient of variation (CV)0.05591121
Kurtosis0.69391928
Mean15.96
Median Absolute Deviation (MAD)0.5
Skewness0.17288461
Sum478.8
Variance0.79627586
MonotonicityNot monotonic
2023-12-12T19:27:21.963031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
15.7 4
13.3%
16.3 4
13.3%
15.3 3
 
10.0%
14.9 2
 
6.7%
16.2 2
 
6.7%
15.4 2
 
6.7%
16.4 1
 
3.3%
18.2 1
 
3.3%
14.5 1
 
3.3%
17.1 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
13.9 1
 
3.3%
14.5 1
 
3.3%
14.9 2
6.7%
15.3 3
10.0%
15.4 2
6.7%
15.6 1
 
3.3%
15.7 4
13.3%
15.8 1
 
3.3%
15.9 1
 
3.3%
16.2 2
6.7%
ValueCountFrequency (%)
18.2 1
 
3.3%
17.4 1
 
3.3%
17.2 1
 
3.3%
17.1 1
 
3.3%
16.8 1
 
3.3%
16.6 1
 
3.3%
16.5 1
 
3.3%
16.4 1
 
3.3%
16.3 4
13.3%
16.2 2
6.7%

혈소판(PLT)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean259.36667
Minimum178
Maximum369
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T19:27:22.085376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum178
5-th percentile184.6
Q1238
median255.5
Q3283.25
95-th percentile365.75
Maximum369
Range191
Interquartile range (IQR)45.25

Descriptive statistics

Standard deviation49.243577
Coefficient of variation (CV)0.18986086
Kurtosis0.59634715
Mean259.36667
Median Absolute Deviation (MAD)23
Skewness0.63745989
Sum7781
Variance2424.9299
MonotonicityNot monotonic
2023-12-12T19:27:22.210616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
241 2
 
6.7%
287 2
 
6.7%
237 1
 
3.3%
178 1
 
3.3%
243 1
 
3.3%
181 1
 
3.3%
263 1
 
3.3%
306 1
 
3.3%
303 1
 
3.3%
189 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
178 1
3.3%
181 1
3.3%
189 1
3.3%
192 1
3.3%
211 1
3.3%
221 1
3.3%
228 1
3.3%
237 1
3.3%
241 2
6.7%
243 1
3.3%
ValueCountFrequency (%)
369 1
3.3%
368 1
3.3%
363 1
3.3%
306 1
3.3%
303 1
3.3%
289 1
3.3%
287 2
6.7%
272 1
3.3%
268 1
3.3%
266 1
3.3%

뇨침사(백혈구)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
2023-12-12T19:27:22.325542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row0 ~ 1
ValueCountFrequency (%)
0 1
33.3%
1
33.3%
1 1
33.3%
2023-12-12T19:27:22.555961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
40.0%
0 1
20.0%
~ 1
20.0%
1 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Space Separator 2
40.0%
Decimal Number 2
40.0%
Math Symbol 1
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2
40.0%
0 1
20.0%
~ 1
20.0%
1 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2
40.0%
0 1
20.0%
~ 1
20.0%
1 1
20.0%

뇨침사(적혈구)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
2023-12-12T19:27:22.635657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row1 ~ 4
ValueCountFrequency (%)
1 1
33.3%
1
33.3%
4 1
33.3%
2023-12-12T19:27:22.831530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
40.0%
1 1
20.0%
~ 1
20.0%
4 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Space Separator 2
40.0%
Decimal Number 2
40.0%
Math Symbol 1
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2
40.0%
1 1
20.0%
~ 1
20.0%
4 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2
40.0%
1 1
20.0%
~ 1
20.0%
4 1
20.0%

뇨당
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
미검출
29 
+/-
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row미검출
2nd row미검출
3rd row미검출
4th row미검출
5th row미검출

Common Values

ValueCountFrequency (%)
미검출 29
96.7%
+/- 1
 
3.3%

Length

2023-12-12T19:27:22.962265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:23.096351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미검출 29
96.7%
1
 
3.3%

혈뇨
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
미검출
27 
+/-
 
2
1+
 
1

Length

Max length3
Median length3
Mean length2.9666667
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row미검출
2nd row+/-
3rd row미검출
4th row미검출
5th row미검출

Common Values

ValueCountFrequency (%)
미검출 27
90.0%
+/- 2
 
6.7%
1+ 1
 
3.3%

Length

2023-12-12T19:27:23.262278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:23.389131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미검출 27
90.0%
2
 
6.7%
1 1
 
3.3%

단백뇨
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
미검출
28 
+/-
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미검출
2nd row미검출
3rd row미검출
4th row미검출
5th row미검출

Common Values

ValueCountFrequency (%)
미검출 28
93.3%
+/- 2
 
6.7%

Length

2023-12-12T19:27:23.512033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:23.617169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미검출 28
93.3%
2
 
6.7%

검사반
Categorical

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
수원
10 
경기북부
7 
전북
6 
대구.경북
2 
서울2검사장
2 
Other values (3)
3 

Length

Max length6
Median length2
Mean length3.0666667
Min length2

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row경기북부
2nd row경기북부
3rd row경기북부
4th row수원
5th row수원

Common Values

ValueCountFrequency (%)
수원 10
33.3%
경기북부 7
23.3%
전북 6
20.0%
대구.경북 2
 
6.7%
서울2검사장 2
 
6.7%
서울1검사장 1
 
3.3%
인천 1
 
3.3%
경남 1
 
3.3%

Length

2023-12-12T19:27:23.759139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:23.970792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수원 10
33.3%
경기북부 7
23.3%
전북 6
20.0%
대구.경북 2
 
6.7%
서울2검사장 2
 
6.7%
서울1검사장 1
 
3.3%
인천 1
 
3.3%
경남 1
 
3.3%

Sample

성명생년월일신장체중체질량지수(BMI)B형 간염(결과)B형 간염(검사결과값)C형간염전이효소(AST)분해효소(ALT)혈당(GLUCOSE)당화혈색소(HBA1C)백혈구(혈_WBC)적혈구(RBC)혈색소(HB)혈소판(PLT)뇨침사(백혈구)뇨침사(적혈구)뇨당혈뇨단백뇨검사반
0***********179.280.124.9음성0.1<NA>1722115<NA>6.465.015.7237<NA><NA>미검출미검출미검출경기북부
1***********173.992.330.5음성0.1<NA>1834103<NA>10.585.4115.6266<NA><NA>미검출+/-미검출경기북부
2***********168.378.727.7음성0.12<NA>1721109<NA>5.865.0914.9221<NA><NA>미검출미검출미검출경기북부
3***********171.260.620.6음성0.26<NA>131094<NA>7.226.6813.9261<NA><NA>미검출미검출미검출수원
4***********170.983.228.4음성0.22음성284499<NA>8.196.3716.2256<NA><NA>미검출미검출미검출수원
5***********168.250.717.9음성0.15<NA>2211124<NA>8.945.9415.43690 ~ 11 ~ 4미검출1+미검출수원
6***********169.172.025.1음성0.18<NA>2115106<NA>6.124.7115.9211<NA><NA>미검출미검출미검출수원
7***********169.162.521.8음성0.3<NA>2024103<NA>5.325.8117.4228<NA><NA>미검출미검출미검출수원
8***********173.264.821.6음성0.485<NA>1620119<NA>5.265.4316.3248<NA><NA>미검출미검출미검출전북
9***********174.190.529.8음성0.16<NA>263893<NA>8.395.6116.8192<NA><NA>미검출미검출+/-수원
성명생년월일신장체중체질량지수(BMI)B형 간염(결과)B형 간염(검사결과값)C형간염전이효소(AST)분해효소(ALT)혈당(GLUCOSE)당화혈색소(HBA1C)백혈구(혈_WBC)적혈구(RBC)혈색소(HB)혈소판(PLT)뇨침사(백혈구)뇨침사(적혈구)뇨당혈뇨단백뇨검사반
20***********181.579.424.1음성0.17<NA>2130105<NA>7.985.2115.7255<NA><NA>미검출미검출미검출경기북부
21***********171.681.927.8음성0.23음성4210796<NA>7.56.5317.1368<NA><NA>미검출미검출미검출수원
22***********182.390.127.1음성0.13<NA>1318110<NA>3.274.915.3189<NA><NA>미검출미검출미검출수원
23***********172.486.329.0음성0.413<NA>1621110<NA>8.885.4115.7241<NA><NA>미검출미검출+/-전북
24***********182.073.622.2음성0.118<NA>262286<NA>5.775.1514.5303<NA><NA>미검출미검출미검출인천
25***********162.673.227.6음성0.123<NA>2118105<NA>6.985.1416.2306<NA><NA>미검출미검출미검출경남
26***********182.982.324.6음성0.558음성2952104<NA>6.935.5616.3287<NA><NA>미검출미검출미검출전북
27***********169.795.032.9음성0.366음성471022778.913.096.4618.2263<NA><NA>+/-미검출미검출전북
28***********173.366.021.9음성0.13<NA>152297<NA>5.165.516.3181<NA><NA>미검출미검출미검출경기북부
29***********181.298.129.8음성0.27음성3043121<NA>8.125.3815.3243<NA><NA>미검출미검출미검출수원