Overview

Dataset statistics

Number of variables11
Number of observations70
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory90.9 B

Variable types

Numeric1
Text3
Categorical7

Dataset

Description부산광역시_기장군_예방접종관련정보_20230215
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15026790

Alerts

폐렴구균(어르신) is highly overall correlated with 연번 and 6 other fieldsHigh correlation
B형주산기감염 지원사업 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
인플(어르신) is highly overall correlated with 연번 and 6 other fieldsHigh correlation
어린이 국가예방접종 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
인플(임신부) is highly overall correlated with 연번 and 6 other fieldsHigh correlation
HPV 국가예방접종 지원사업 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
인플(어린이_13세이하) is highly overall correlated with 연번 and 6 other fieldsHigh correlation
연번 is highly overall correlated with 어린이 국가예방접종 and 6 other fieldsHigh correlation
인플(어르신) is highly imbalanced (89.2%)Imbalance
연번 has unique valuesUnique
의료기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:19:47.359382
Analysis finished2023-12-10 17:19:49.647176
Duration2.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.5
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-11T02:19:49.887512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.45
Q118.25
median35.5
Q352.75
95-th percentile66.55
Maximum70
Range69
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation20.351085
Coefficient of variation (CV)0.57327
Kurtosis-1.2
Mean35.5
Median Absolute Deviation (MAD)17.5
Skewness0
Sum2485
Variance414.16667
MonotonicityStrictly increasing
2023-12-11T02:19:50.289386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
46 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
45 1
 
1.4%
54 1
 
1.4%
Other values (60) 60
85.7%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%
61 1
1.4%

의료기관명
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-11T02:19:50.833856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length8.5142857
Min length4

Characters and Unicode

Total characters596
Distinct characters144
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)100.0%

Sample

1st row(의)서일의료재단기장병원
2nd row(의)피터의료재단새소망요양병원
3rd row(재)한호기독선교회 정관일신기독병원
4th row경동정형외과의원
5th row국민건강의원
ValueCountFrequency (%)
의)서일의료재단기장병원 1
 
1.4%
기장정형외과의원 1
 
1.4%
정관바른내과의원 1
 
1.4%
정관늘편한내과의원 1
 
1.4%
장안성모의원 1
 
1.4%
장미영산부인과의원 1
 
1.4%
일광한방병원 1
 
1.4%
정원택내과의원 1
 
1.4%
일광척정형외과의원 1
 
1.4%
일광아동병원 1
 
1.4%
Other values (62) 62
86.1%
2023-12-11T02:19:51.881168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 73
 
12.2%
의 71
 
11.9%
과 47
 
7.9%
정 20
 
3.4%
내 19
 
3.2%
소 16
 
2.7%
이 13
 
2.2%
아 12
 
2.0%
인 11
 
1.8%
병 10
 
1.7%
Other values (134) 304
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 588
98.7%
Open Punctuation 3
 
0.5%
Close Punctuation 3
 
0.5%
Space Separator 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 73
 
12.4%
의 71
 
12.1%
과 47
 
8.0%
정 20
 
3.4%
내 19
 
3.2%
소 16
 
2.7%
이 13
 
2.2%
아 12
 
2.0%
인 11
 
1.9%
병 10
 
1.7%
Other values (131) 296
50.3%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 588
98.7%
Common 8
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 73
 
12.4%
의 71
 
12.1%
과 47
 
8.0%
정 20
 
3.4%
내 19
 
3.2%
소 16
 
2.7%
이 13
 
2.2%
아 12
 
2.0%
인 11
 
1.9%
병 10
 
1.7%
Other values (131) 296
50.3%
Common
ValueCountFrequency (%)
( 3
37.5%
) 3
37.5%
2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 588
98.7%
ASCII 8
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 73
 
12.4%
의 71
 
12.1%
과 47
 
8.0%
정 20
 
3.4%
내 19
 
3.2%
소 16
 
2.7%
이 13
 
2.2%
아 12
 
2.0%
인 11
 
1.9%
병 10
 
1.7%
Other values (131) 296
50.3%
ASCII
ValueCountFrequency (%)
( 3
37.5%
) 3
37.5%
2
25.0%

전화번호
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-11T02:19:52.515119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters840
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

Unique70 ?
Unique (%)100.0%

Sample

1st row051-723-0171
2nd row051-722-4848
3rd row051-780-0600
4th row051-722-8500
5th row051-723-0300
ValueCountFrequency (%)
051-723-0171 1
 
1.4%
051-791-2997 1
 
1.4%
051-911-9988 1
 
1.4%
051-714-6846 1
 
1.4%
051-921-3355 1
 
1.4%
051-724-8686 1
 
1.4%
051-724-9000 1
 
1.4%
051-722-7579 1
 
1.4%
051-927-7582 1
 
1.4%
051-727-7812 1
 
1.4%
Other values (60) 60
85.7%
2023-12-11T02:19:53.563611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 140
16.7%
0 119
14.2%
5 118
14.0%
1 118
14.0%
7 110
13.1%
2 92
11.0%
8 41
 
4.9%
3 31
 
3.7%
4 27
 
3.2%
9 25
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 700
83.3%
Dash Punctuation 140
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 119
17.0%
5 118
16.9%
1 118
16.9%
7 110
15.7%
2 92
13.1%
8 41
 
5.9%
3 31
 
4.4%
4 27
 
3.9%
9 25
 
3.6%
6 19
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 840
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 140
16.7%
0 119
14.2%
5 118
14.0%
1 118
14.0%
7 110
13.1%
2 92
11.0%
8 41
 
4.9%
3 31
 
3.7%
4 27
 
3.2%
9 25
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 140
16.7%
0 119
14.2%
5 118
14.0%
1 118
14.0%
7 110
13.1%
2 92
11.0%
8 41
 
4.9%
3 31
 
3.7%
4 27
 
3.2%
9 25
 
3.0%

어린이 국가예방접종
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
√
41 
<NA>
29 

Length

Max length4
Median length1
Mean length2.2428571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
√ 41
58.6%
<NA> 29
41.4%

Length

2023-12-11T02:19:54.003681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:19:54.309463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
√ 41
58.6%
na 29
41.4%

HPV 국가예방접종 지원사업
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
40 
√
30 

Length

Max length4
Median length4
Mean length2.7142857
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
57.1%
√ 30
42.9%

Length

2023-12-11T02:19:54.648226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:19:54.918779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
57.1%
√ 30
42.9%

B형주산기감염 지원사업
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
56 
√
14 

Length

Max length4
Median length4
Mean length3.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
80.0%
√ 14
 
20.0%

Length

2023-12-11T02:19:55.202340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:19:55.490987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
80.0%
√ 14
 
20.0%

인플(어린이_13세이하)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
√
39 
<NA>
31 

Length

Max length4
Median length1
Mean length2.3285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
√ 39
55.7%
<NA> 31
44.3%

Length

2023-12-11T02:19:55.789193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:19:56.058522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
√ 39
55.7%
na 31
44.3%

인플(어르신)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
√
69 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0428571
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
√ 69
98.6%
<NA> 1
 
1.4%

Length

2023-12-11T02:19:56.314042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:19:56.584571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
√ 69
98.6%
na 1
 
1.4%

인플(임신부)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
37 
√
33 

Length

Max length4
Median length4
Mean length2.5857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
52.9%
√ 33
47.1%

Length

2023-12-11T02:19:56.858557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:19:57.123912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
52.9%
√ 33
47.1%

폐렴구균(어르신)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
√
60 
<NA>
10 

Length

Max length4
Median length1
Mean length1.4285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
√ 60
85.7%
<NA> 10
 
14.3%

Length

2023-12-11T02:19:57.405056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:19:57.659945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
√ 60
85.7%
na 10
 
14.3%

주소
Text

Distinct69
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-11T02:19:58.340863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length30.671429
Min length21

Characters and Unicode

Total characters2147
Distinct characters131
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

Unique68 ?
Unique (%)97.1%

Sample

1st row부산광역시 기장군 기장읍 대청로72번길 6-6, 6
2nd row부산광역시 기장군 기장읍 기장해안로 552
3rd row부산광역시 기장군 정관읍 정관6로 31, 4층 접수실
4th row부산광역시 기장군 기장읍 차성로288번길 57, 지하1, 2, 3층
5th row부산광역시 기장군 기장읍 기장대로 83-10, 1~4층
ValueCountFrequency (%)
부산광역시 70
 
15.0%
기장군 70
 
15.0%
기장읍 28
 
6.0%
정관읍 23
 
4.9%
정관로 18
 
3.9%
일광읍 13
 
2.8%
2층 11
 
2.4%
읍내로 10
 
2.1%
3층 10
 
2.1%
201호 6
 
1.3%
Other values (146) 207
44.4%
2023-12-11T02:19:59.595680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
405
 
18.9%
장 106
 
4.9%
기 101
 
4.7%
광 89
 
4.1%
읍 79
 
3.7%
산 71
 
3.3%
부 70
 
3.3%
역 70
 
3.3%
시 70
 
3.3%
군 70
 
3.3%
Other values (121) 1016
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1267
59.0%
Space Separator 405
 
18.9%
Decimal Number 363
 
16.9%
Other Punctuation 66
 
3.1%
Dash Punctuation 13
 
0.6%
Close Punctuation 12
 
0.6%
Open Punctuation 12
 
0.6%
Math Symbol 5
 
0.2%
Uppercase Letter 3
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 106
 
8.4%
기 101
 
8.0%
광 89
 
7.0%
읍 79
 
6.2%
산 71
 
5.6%
부 70
 
5.5%
역 70
 
5.5%
시 70
 
5.5%
군 70
 
5.5%
로 65
 
5.1%
Other values (101) 476
37.6%
Decimal Number
ValueCountFrequency (%)
1 60
16.5%
3 52
14.3%
5 46
12.7%
2 45
12.4%
0 43
11.8%
6 35
9.6%
4 33
9.1%
7 17
 
4.7%
8 17
 
4.7%
9 15
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
S 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
405
100.0%
Other Punctuation
ValueCountFrequency (%)
, 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1267
59.0%
Common 876
40.8%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 106
 
8.4%
기 101
 
8.0%
광 89
 
7.0%
읍 79
 
6.2%
산 71
 
5.6%
부 70
 
5.5%
역 70
 
5.5%
시 70
 
5.5%
군 70
 
5.5%
로 65
 
5.1%
Other values (101) 476
37.6%
Common
ValueCountFrequency (%)
405
46.2%
, 66
 
7.5%
1 60
 
6.8%
3 52
 
5.9%
5 46
 
5.3%
2 45
 
5.1%
0 43
 
4.9%
6 35
 
4.0%
4 33
 
3.8%
7 17
 
1.9%
Other values (6) 74
 
8.4%
Latin
ValueCountFrequency (%)
G 1
25.0%
S 1
25.0%
Ⅱ 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1267
59.0%
ASCII 879
40.9%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
405
46.1%
, 66
 
7.5%
1 60
 
6.8%
3 52
 
5.9%
5 46
 
5.2%
2 45
 
5.1%
0 43
 
4.9%
6 35
 
4.0%
4 33
 
3.8%
7 17
 
1.9%
Other values (9) 77
 
8.8%
Hangul
ValueCountFrequency (%)
장 106
 
8.4%
기 101
 
8.0%
광 89
 
7.0%
읍 79
 
6.2%
산 71
 
5.6%
부 70
 
5.5%
역 70
 
5.5%
시 70
 
5.5%
군 70
 
5.5%
로 65
 
5.1%
Other values (101) 476
37.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

Interactions

2023-12-11T02:19:48.696505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:19:59.854385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번의료기관명전화번호주소
연번1.0001.0001.0000.938
의료기관명1.0001.0001.0001.000
전화번호1.0001.0001.0001.000
주소0.9381.0001.0001.000
2023-12-11T02:20:00.127897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐렴구균(어르신)B형주산기감염 지원사업인플(어르신)어린이 국가예방접종인플(임신부)HPV 국가예방접종 지원사업인플(어린이_13세이하)
폐렴구균(어르신)1.0001.0001.0001.0001.0001.0001.000
B형주산기감염 지원사업1.0001.0001.0001.0001.0001.0001.000
인플(어르신)1.0001.0001.0001.0001.0001.0001.000
어린이 국가예방접종1.0001.0001.0001.0001.0001.0001.000
인플(임신부)1.0001.0001.0001.0001.0001.0001.000
HPV 국가예방접종 지원사업1.0001.0001.0001.0001.0001.0001.000
인플(어린이_13세이하)1.0001.0001.0001.0001.0001.0001.000
2023-12-11T02:20:00.446124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번어린이 국가예방접종HPV 국가예방접종 지원사업B형주산기감염 지원사업인플(어린이_13세이하)인플(어르신)인플(임신부)폐렴구균(어르신)
연번1.0001.0001.0001.0001.0001.0001.0001.000
어린이 국가예방접종1.0001.0001.0001.0001.0001.0001.0001.000
HPV 국가예방접종 지원사업1.0001.0001.0001.0001.0001.0001.0001.000
B형주산기감염 지원사업1.0001.0001.0001.0001.0001.0001.0001.000
인플(어린이_13세이하)1.0001.0001.0001.0001.0001.0001.0001.000
인플(어르신)1.0001.0001.0001.0001.0001.0001.0001.000
인플(임신부)1.0001.0001.0001.0001.0001.0001.0001.000
폐렴구균(어르신)1.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-11T02:19:49.028503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:19:49.478271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번의료기관명전화번호어린이 국가예방접종HPV 국가예방접종 지원사업B형주산기감염 지원사업인플(어린이_13세이하)인플(어르신)인플(임신부)폐렴구균(어르신)주소
01(의)서일의료재단기장병원051-723-0171√√<NA>√√<NA>√부산광역시 기장군 기장읍 대청로72번길 6-6, 6
12(의)피터의료재단새소망요양병원051-722-4848<NA><NA><NA><NA>√<NA>√부산광역시 기장군 기장읍 기장해안로 552
23(재)한호기독선교회 정관일신기독병원051-780-0600√√√√√√√부산광역시 기장군 정관읍 정관6로 31, 4층 접수실
34경동정형외과의원051-722-8500<NA><NA><NA><NA>√<NA>√부산광역시 기장군 기장읍 차성로288번길 57, 지하1, 2, 3층
45국민건강의원051-723-0300√√<NA>√√<NA>√부산광역시 기장군 기장읍 기장대로 83-10, 1~4층
56권태경내과의원051-723-8275√√<NA>√√√√부산광역시 기장군 기장읍 차성동로 94, 2, 3층
67기장연세요양병원051-741-7525<NA><NA><NA><NA>√<NA>√부산광역시 기장군 기장읍 반송로 1644 기장연세요양병원
78기장연합신경외과마취통증의학과의원051-715-0225<NA><NA><NA><NA>√<NA><NA>부산광역시 기장군 기장읍 읍내로 92, 우리은행 3(301호),5층
89기장정형외과의원051-758-4119<NA><NA><NA><NA>√<NA><NA>부산광역시 기장군 기장읍 차성동로 63, (석천빌딩) 2,5층
910김동규내과의원051-727-7587<NA><NA><NA><NA>√<NA><NA>부산광역시 기장군 정관읍 정관로 560, 마치빌딩 203호
연번의료기관명전화번호어린이 국가예방접종HPV 국가예방접종 지원사업B형주산기감염 지원사업인플(어린이_13세이하)인플(어르신)인플(임신부)폐렴구균(어르신)주소
6061참바른내과의원051-543-3700√√<NA><NA>√√√부산광역시 기장군 일광읍 해빛6로 85-16, 일광청보리더스 5층
6162최정숙내과의원051-724-0008<NA><NA><NA><NA>√<NA>√부산광역시 기장군 기장읍 읍내로 93 최정숙내과의원 (미래약국)
6263코엔이비인후과의원051-728-1026√√√√√√√부산광역시 기장군 정관읍 정관로 395, 2,3,5층
6364평거요양병원051-747-0079<NA><NA><NA><NA>√<NA>√부산광역시 기장군 기장읍 대청로36번길 11-33
6465플레르의원051-723-1122√<NA><NA>√√√<NA>부산광역시 기장군 일광읍 해빛1로 5, 센텀타워 5층
6566하늘산부인과의원051-727-5955√√<NA>√√√√부산광역시 기장군 정관읍 정관로 565, (진우빌딩) 2층 202호
6667행복이비인후과의원051-727-1402√<NA><NA>√√√√부산광역시 기장군 정관읍 정관로 561, 정관타워 7층 701호
6768현대메디의원051-721-0707√√<NA>√√√√부산광역시 기장군 정관읍 정관로 702, 2층
6869현대요양병원051-721-7582<NA><NA><NA><NA>√<NA>√부산광역시 기장군 기장읍 반송로 1555
6970효정의료소비자생활협동조합연세한마음의원051-727-6963<NA><NA><NA><NA>√<NA>√부산광역시 기장군 장안읍 해맞이로 432 길천리 227-8