Overview

Dataset statistics

Number of variables30
Number of observations89
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.2 KiB
Average record size in memory243.5 B

Variable types

Numeric2
Categorical4
Text3
Boolean21

Dataset

Description경상남도 양산시에서 지정된 국가예방접종이 가능한 위탁의료기관 명단(기관코드,의료기관명,주소지,전화번호,종별구분,접종백신종류)입니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15103419

Alerts

시도 has constant value ""Constant
관할보건소 has constant value ""Constant
BCG(피내) has constant value ""Constant
종별구분 is highly imbalanced (72.4%)Imbalance
순번(NO) has unique valuesUnique
기관코드 has unique valuesUnique
의료기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:51:11.097488
Analysis finished2023-12-10 22:51:11.543061
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번(NO)
Real number (ℝ)

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45
Minimum1
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2023-12-11T07:51:11.615092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.4
Q123
median45
Q367
95-th percentile84.6
Maximum89
Range88
Interquartile range (IQR)44

Descriptive statistics

Standard deviation25.836021
Coefficient of variation (CV)0.57413381
Kurtosis-1.2
Mean45
Median Absolute Deviation (MAD)22
Skewness0
Sum4005
Variance667.5
MonotonicityStrictly increasing
2023-12-11T07:51:11.741242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
68 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
Other values (79) 79
88.8%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
경상남도
89 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 89
100.0%

Length

2023-12-11T07:51:11.876875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:11.988746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 89
100.0%

관할보건소
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
경상남도양산시보건소
89 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도양산시보건소 89
100.0%

Length

2023-12-11T07:51:12.109733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:12.215001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도양산시보건소 89
100.0%

기관코드
Real number (ℝ)

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38324693
Minimum38100347
Maximum38353857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2023-12-11T07:51:12.331142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38100347
5-th percentile38205296
Q138325098
median38345137
Q338349086
95-th percentile38351815
Maximum38353857
Range253510
Interquartile range (IQR)23988

Descriptive statistics

Standard deviation53692.461
Coefficient of variation (CV)0.0014009886
Kurtosis9.5187793
Mean38324693
Median Absolute Deviation (MAD)5814
Skewness-3.1295158
Sum3.4108977 × 109
Variance2.8828803 × 109
MonotonicityNot monotonic
2023-12-11T07:51:12.470752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38327759 1
 
1.1%
38325098 1
 
1.1%
38205254 1
 
1.1%
38344645 1
 
1.1%
38313723 1
 
1.1%
38347083 1
 
1.1%
38322480 1
 
1.1%
38351528 1
 
1.1%
38100681 1
 
1.1%
38205360 1
 
1.1%
Other values (79) 79
88.8%
ValueCountFrequency (%)
38100347 1
1.1%
38100509 1
1.1%
38100681 1
1.1%
38203090 1
1.1%
38205254 1
1.1%
38205360 1
1.1%
38205432 1
1.1%
38205513 1
1.1%
38312336 1
1.1%
38313618 1
1.1%
ValueCountFrequency (%)
38353857 1
1.1%
38353059 1
1.1%
38352427 1
1.1%
38352141 1
1.1%
38351854 1
1.1%
38351757 1
1.1%
38351528 1
1.1%
38351404 1
1.1%
38351021 1
1.1%
38350793 1
1.1%

의료기관명
Text

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size844.0 B
2023-12-11T07:51:12.716557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12
Mean length8.011236
Min length3

Characters and Unicode

Total characters713
Distinct characters150
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)100.0%

Sample

1st row강경순의원
2nd row강소아청소년과의원
3rd row고운누리의원
4th row굿모닝의원
5th row길이비인후과의원
ValueCountFrequency (%)
의원 2
 
2.0%
강경순의원 1
 
1.0%
웅상센텀힐병원 1
 
1.0%
아이병원 1
 
1.0%
이레 1
 
1.0%
이동일소아청소년과의원 1
 
1.0%
이내과의원 1
 
1.0%
윤이비인후과의원 1
 
1.0%
윤소아청소년과의원 1
 
1.0%
유창훈내과의원 1
 
1.0%
Other values (87) 87
88.8%
2023-12-11T07:51:13.146470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 89
 
12.5%
의 88
 
12.3%
과 59
 
8.3%
소 32
 
4.5%
이 28
 
3.9%
아 25
 
3.5%
인 19
 
2.7%
내 18
 
2.5%
비 16
 
2.2%
청 15
 
2.1%
Other values (140) 324
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 704
98.7%
Space Separator 9
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 89
 
12.6%
의 88
 
12.5%
과 59
 
8.4%
소 32
 
4.5%
이 28
 
4.0%
아 25
 
3.6%
인 19
 
2.7%
내 18
 
2.6%
비 16
 
2.3%
청 15
 
2.1%
Other values (139) 315
44.7%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 704
98.7%
Common 9
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 89
 
12.6%
의 88
 
12.5%
과 59
 
8.4%
소 32
 
4.5%
이 28
 
4.0%
아 25
 
3.6%
인 19
 
2.7%
내 18
 
2.6%
비 16
 
2.3%
청 15
 
2.1%
Other values (139) 315
44.7%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 704
98.7%
ASCII 9
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 89
 
12.6%
의 88
 
12.5%
과 59
 
8.4%
소 32
 
4.5%
이 28
 
4.0%
아 25
 
3.6%
인 19
 
2.7%
내 18
 
2.6%
비 16
 
2.3%
청 15
 
2.1%
Other values (139) 315
44.7%
ASCII
ValueCountFrequency (%)
9
100.0%

주소지
Text

Distinct88
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size844.0 B
2023-12-11T07:51:13.422380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length30.067416
Min length15

Characters and Unicode

Total characters2676
Distinct characters166
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)97.8%

Sample

1st row경상남도 양산시 신기서길 23, (신기동, 주공아파트상가) 202,203호
2nd row경상남도 양산시 동면 금오13길 20, 센텀빌딩 501,502호
3rd row경상남도 양산시 삼호1길 34, (삼호동, 롯데마트) 2층
4th row경상남도 양산시 두전길 40 삼성파크빌아파트
5th row경상남도 양산시 동면 금오13길 4, 네오스퀘어 4층 402,403호
ValueCountFrequency (%)
경상남도 89
 
15.4%
양산시 89
 
15.4%
물금읍 33
 
5.7%
2층 16
 
2.8%
중부동 11
 
1.9%
덕계로 9
 
1.6%
덕계동 8
 
1.4%
3층 8
 
1.4%
청운로 8
 
1.4%
동면 8
 
1.4%
Other values (192) 300
51.8%
2023-12-11T07:51:13.863837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
504
 
18.8%
산 111
 
4.1%
양 106
 
4.0%
시 96
 
3.6%
, 96
 
3.6%
상 96
 
3.6%
남 92
 
3.4%
경 90
 
3.4%
도 90
 
3.4%
1 82
 
3.1%
Other values (156) 1313
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1497
55.9%
Space Separator 504
 
18.8%
Decimal Number 453
 
16.9%
Other Punctuation 101
 
3.8%
Close Punctuation 48
 
1.8%
Open Punctuation 48
 
1.8%
Uppercase Letter 10
 
0.4%
Dash Punctuation 5
 
0.2%
Math Symbol 5
 
0.2%
Lowercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 111
 
7.4%
양 106
 
7.1%
시 96
 
6.4%
상 96
 
6.4%
남 92
 
6.1%
경 90
 
6.0%
도 90
 
6.0%
로 67
 
4.5%
동 54
 
3.6%
호 49
 
3.3%
Other values (126) 646
43.2%
Decimal Number
ValueCountFrequency (%)
1 82
18.1%
2 72
15.9%
0 66
14.6%
3 58
12.8%
4 54
11.9%
5 38
8.4%
6 28
 
6.2%
8 25
 
5.5%
7 21
 
4.6%
9 9
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
20.0%
Y 2
20.0%
B 2
20.0%
F 1
10.0%
E 1
10.0%
S 1
10.0%
H 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 96
95.0%
· 3
 
3.0%
. 1
 
1.0%
& 1
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
a 2
40.0%
z 1
20.0%
l 1
20.0%
p 1
20.0%
Space Separator
ValueCountFrequency (%)
504
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1497
55.9%
Common 1164
43.5%
Latin 15
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 111
 
7.4%
양 106
 
7.1%
시 96
 
6.4%
상 96
 
6.4%
남 92
 
6.1%
경 90
 
6.0%
도 90
 
6.0%
로 67
 
4.5%
동 54
 
3.6%
호 49
 
3.3%
Other values (126) 646
43.2%
Common
ValueCountFrequency (%)
504
43.3%
, 96
 
8.2%
1 82
 
7.0%
2 72
 
6.2%
0 66
 
5.7%
3 58
 
5.0%
4 54
 
4.6%
) 48
 
4.1%
( 48
 
4.1%
5 38
 
3.3%
Other values (9) 98
 
8.4%
Latin
ValueCountFrequency (%)
C 2
13.3%
Y 2
13.3%
B 2
13.3%
a 2
13.3%
F 1
6.7%
z 1
6.7%
l 1
6.7%
p 1
6.7%
E 1
6.7%
S 1
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1497
55.9%
ASCII 1176
43.9%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
504
42.9%
, 96
 
8.2%
1 82
 
7.0%
2 72
 
6.1%
0 66
 
5.6%
3 58
 
4.9%
4 54
 
4.6%
) 48
 
4.1%
( 48
 
4.1%
5 38
 
3.2%
Other values (19) 110
 
9.4%
Hangul
ValueCountFrequency (%)
산 111
 
7.4%
양 106
 
7.1%
시 96
 
6.4%
상 96
 
6.4%
남 92
 
6.1%
경 90
 
6.0%
도 90
 
6.0%
로 67
 
4.5%
동 54
 
3.6%
호 49
 
3.3%
Other values (126) 646
43.2%
None
ValueCountFrequency (%)
· 3
100.0%

전화번호
Text

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size844.0 B
2023-12-11T07:51:14.137961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1068
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)100.0%

Sample

1st row055-365-7582
2nd row055-365-7585
3rd row055-386-7582
4th row055-386-8626
5th row055-364-5550
ValueCountFrequency (%)
055-365-7582 1
 
1.1%
055-360-6700 1
 
1.1%
055-781-1175 1
 
1.1%
055-367-8275 1
 
1.1%
055-383-4182 1
 
1.1%
055-367-9873 1
 
1.1%
055-366-2671 1
 
1.1%
055-785-6000 1
 
1.1%
055-912-8000 1
 
1.1%
055-603-2070 1
 
1.1%
Other values (79) 79
88.8%
2023-12-11T07:51:14.537033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 247
23.1%
- 178
16.7%
0 152
14.2%
3 97
 
9.1%
8 87
 
8.1%
6 73
 
6.8%
7 70
 
6.6%
2 59
 
5.5%
1 54
 
5.1%
9 28
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 890
83.3%
Dash Punctuation 178
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 247
27.8%
0 152
17.1%
3 97
 
10.9%
8 87
 
9.8%
6 73
 
8.2%
7 70
 
7.9%
2 59
 
6.6%
1 54
 
6.1%
9 28
 
3.1%
4 23
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1068
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 247
23.1%
- 178
16.7%
0 152
14.2%
3 97
 
9.1%
8 87
 
8.1%
6 73
 
6.8%
7 70
 
6.6%
2 59
 
5.5%
1 54
 
5.1%
9 28
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1068
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 247
23.1%
- 178
16.7%
0 152
14.2%
3 97
 
9.1%
8 87
 
8.1%
6 73
 
6.8%
7 70
 
6.6%
2 59
 
5.5%
1 54
 
5.1%
9 28
 
2.6%

종별구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size844.0 B
의원
81 
병원
 
5
종합병원
 
2
상급종합병원
 
1

Length

Max length6
Median length2
Mean length2.0898876
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 81
91.0%
병원 5
 
5.6%
종합병원 2
 
2.2%
상급종합병원 1
 
1.1%

Length

2023-12-11T07:51:14.699163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:14.816600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 81
91.0%
병원 5
 
5.6%
종합병원 2
 
2.2%
상급종합병원 1
 
1.1%

표시과목
Categorical

Distinct7
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size844.0 B
기타 또는 전체
30 
내과
18 
소아청소년과
16 
이비인후과
14 
산부인과
5 
Other values (2)
6 

Length

Max length8
Median length6
Mean length5.4606742
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타 또는 전체
2nd row소아청소년과
3rd row기타 또는 전체
4th row기타 또는 전체
5th row이비인후과

Common Values

ValueCountFrequency (%)
기타 또는 전체 30
33.7%
내과 18
20.2%
소아청소년과 16
18.0%
이비인후과 14
15.7%
산부인과 5
 
5.6%
가정의학과 4
 
4.5%
외과 2
 
2.2%

Length

2023-12-11T07:51:14.990618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:51:15.163928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 30
20.1%
또는 30
20.1%
전체 30
20.1%
내과 18
12.1%
소아청소년과 16
10.7%
이비인후과 14
9.4%
산부인과 5
 
3.4%
가정의학과 4
 
2.7%
외과 2
 
1.3%

BCG(피내)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size221.0 B
False
89 
ValueCountFrequency (%)
False 89
100.0%
2023-12-11T07:51:15.273173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

B형간염
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
True
48 
False
41 
ValueCountFrequency (%)
True 48
53.9%
False 41
46.1%
2023-12-11T07:51:15.359286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

DTaP
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
True
47 
False
42 
ValueCountFrequency (%)
True 47
52.8%
False 42
47.2%
2023-12-11T07:51:15.448582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Td
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
True
50 
False
39 
ValueCountFrequency (%)
True 50
56.2%
False 39
43.8%
2023-12-11T07:51:15.586691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Tdap
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
True
53 
False
36 
ValueCountFrequency (%)
True 53
59.6%
False 36
40.4%
2023-12-11T07:51:15.711169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

폴리오
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
True
47 
False
42 
ValueCountFrequency (%)
True 47
52.8%
False 42
47.2%
2023-12-11T07:51:15.831803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

MMR
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
True
50 
False
39 
ValueCountFrequency (%)
True 50
56.2%
False 39
43.8%
2023-12-11T07:51:15.934866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

DTaP-IPV
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
True
47 
False
42 
ValueCountFrequency (%)
True 47
52.8%
False 42
47.2%
2023-12-11T07:51:16.034242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Hib
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
True
46 
False
43 
ValueCountFrequency (%)
True 46
51.7%
False 43
48.3%
2023-12-11T07:51:16.162273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

DTaP-IPV_Hib
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
False
45 
True
44 
ValueCountFrequency (%)
False 45
50.6%
True 44
49.4%
2023-12-11T07:51:16.271066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

폐렴구균(PCV10)
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
False
62 
True
27 
ValueCountFrequency (%)
False 62
69.7%
True 27
30.3%
2023-12-11T07:51:16.383241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

폐렴구균(PCV13)
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
True
49 
False
40 
ValueCountFrequency (%)
True 49
55.1%
False 40
44.9%
2023-12-11T07:51:16.788202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

폐렴구균(PPSV23)
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
False
55 
True
34 
ValueCountFrequency (%)
False 55
61.8%
True 34
38.2%
2023-12-11T07:51:16.897122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

수두
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
True
50 
False
39 
ValueCountFrequency (%)
True 50
56.2%
False 39
43.8%
2023-12-11T07:51:17.025382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

A형간염
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
True
51 
False
38 
ValueCountFrequency (%)
True 51
57.3%
False 38
42.7%
2023-12-11T07:51:17.150461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일본뇌염(사백신-쥐뇌조직)
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
False
49 
True
40 
ValueCountFrequency (%)
False 49
55.1%
True 40
44.9%
2023-12-11T07:51:17.273400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일본뇌염(사백신-베로세포)
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
True
51 
False
38 
ValueCountFrequency (%)
True 51
57.3%
False 38
42.7%
2023-12-11T07:51:17.381126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

일본뇌염(생백신)
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
False
49 
True
40 
ValueCountFrequency (%)
False 49
55.1%
True 40
44.9%
2023-12-11T07:51:17.503614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Hpv
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
True
61 
False
28 
ValueCountFrequency (%)
True 61
68.5%
False 28
31.5%
2023-12-11T07:51:17.617007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인플루엔자(13세이하)
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
True
79 
False
10 
ValueCountFrequency (%)
True 79
88.8%
False 10
 
11.2%
2023-12-11T07:51:17.748613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인플루엔자(임신부)
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
True
58 
False
31 
ValueCountFrequency (%)
True 58
65.2%
False 31
34.8%
2023-12-11T07:51:17.861611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

순번(NO)시도관할보건소기관코드의료기관명주소지전화번호종별구분표시과목BCG(피내)B형간염DTaPTdTdap폴리오MMRDTaP-IPVHibDTaP-IPV_Hib폐렴구균(PCV10)폐렴구균(PCV13)폐렴구균(PPSV23)수두A형간염일본뇌염(사백신-쥐뇌조직)일본뇌염(사백신-베로세포)일본뇌염(생백신)Hpv인플루엔자(13세이하)인플루엔자(임신부)
01경상남도경상남도양산시보건소38327759강경순의원경상남도 양산시 신기서길 23, (신기동, 주공아파트상가) 202,203호055-365-7582의원기타 또는 전체NYYYYYYYYYYYYYYYYYYYY
12경상남도경상남도양산시보건소38320622강소아청소년과의원경상남도 양산시 동면 금오13길 20, 센텀빌딩 501,502호055-365-7585의원소아청소년과NYYYYYYYYYYYYYYYYYYYY
23경상남도경상남도양산시보건소38339323고운누리의원경상남도 양산시 삼호1길 34, (삼호동, 롯데마트) 2층055-386-7582의원기타 또는 전체NYYYYYYYYYNYYYYYYNYYY
34경상남도경상남도양산시보건소38329549굿모닝의원경상남도 양산시 두전길 40 삼성파크빌아파트055-386-8626의원기타 또는 전체NYYYYYYYYYNYYYYYYYYYY
45경상남도경상남도양산시보건소38346800길이비인후과의원경상남도 양산시 동면 금오13길 4, 네오스퀘어 4층 402,403호055-364-5550의원이비인후과NYYYYYYYYYNYNYYYYYYYY
56경상남도경상남도양산시보건소38313618김동훈의원경상남도 양산시 상북면 반회서6길 18 석계리 238-12 2층055-374-1563의원기타 또는 전체NNNNNNNNNNNNNNNNNNNYN
67경상남도경상남도양산시보건소38342898김영록이비인후과의원경상남도 양산시 양산역1길 24, (중부동, 영동프라자) 403호055-388-7543의원이비인후과NNNNNNNNNNNNNNNNNNNYY
78경상남도경상남도양산시보건소38347130김혜린의 아름다운 내과 의원경상남도 양산시 덕계로 23, (덕계동)055-365-6688의원내과NNNNNNNNNNNNNNNNNNYYY
89경상남도경상남도양산시보건소38346401낙동연합의원경상남도 양산시 상북면 양산대로 1400 낙동연합의원055-374-1224의원기타 또는 전체NYYYYYYYYNYYNYYYYYNYN
910경상남도경상남도양산시보건소38324849늘푸른가정의학과의원경상남도 양산시 소주회야로 85, (소주동, 늘푸른가정의학과) 2층055-385-2011의원가정의학과NYYYYYYYYYNYYYYYYNYYN
순번(NO)시도관할보건소기관코드의료기관명주소지전화번호종별구분표시과목BCG(피내)B형간염DTaPTdTdap폴리오MMRDTaP-IPVHibDTaP-IPV_Hib폐렴구균(PCV10)폐렴구균(PCV13)폐렴구균(PPSV23)수두A형간염일본뇌염(사백신-쥐뇌조직)일본뇌염(사백신-베로세포)일본뇌염(생백신)Hpv인플루엔자(13세이하)인플루엔자(임신부)
7980경상남도경상남도양산시보건소38320835최선용소아청소년과의원경상남도 양산시 덕계로 115, (덕계동)055-367-1216의원소아청소년과NYYYYYYYYYYYYYYYYYYYY
8081경상남도경상남도양산시보건소38349477코앤이비인후과의원경상남도 양산시 물금읍 새실로 42, 3층 301호055-820-7575의원이비인후과NYYYYYYYYYNYNYYYYYYYY
8182경상남도경상남도양산시보건소38353059탑이비인후과의원경상남도 양산시 서창로 186, (삼호동)055-366-5802의원이비인후과NNNNNNNNNNNNNNNNNNNYY
8283경상남도경상남도양산시보건소38316498하은소아청소년과의원경상남도 양산시 물금읍 새실로 38 402호055-381-6003의원소아청소년과NYYYYYYYYYNYNYYNYYYYN
8384경상남도경상남도양산시보건소38343193한사랑이비인후과의원경상남도 양산시 덕계로 117, (덕계동) 2층055-388-3966의원이비인후과NNNNNNNNNNNNNNNNNNNYY
8485경상남도경상남도양산시보건소38335204행복한가정의원경상남도 양산시 상북면 반회서4길 12-23, 2층055-374-7582의원기타 또는 전체NYYYYYYYYYNYYYYYYYYYY
8586경상남도경상남도양산시보건소38344696현대의료소비자생활협동조합 현대메디컬의원경상남도 양산시 서일동2길 37-1, (중부동)055-384-8880의원기타 또는 전체NNNNNNNNNNNNNNNNNNNYN
8687경상남도경상남도양산시보건소38349639홈즈가정의학과의원경상남도 양산시 물금읍 새실로 38, 301호055-387-1233의원가정의학과NYYYYYYNYNNYNYYNYNYYY
8788경상남도경상남도양산시보건소38346991홍내과의원경상남도 양산시 양산역6길 9, (중부동, BYC빌딩) 3층055-912-1004의원내과NNNNNNNNNNNNNNNNNNNNY
8889경상남도경상남도양산시보건소38323419황외과의원경상남도 양산시 덕계로 41, (덕계동)055-366-7582의원외과NNNNNNNNNNNNNNNNNNNYN