Overview

Dataset statistics

Number of variables7
Number of observations74
Missing cells42
Missing cells (%)8.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory57.7 B

Variable types

Categorical2
Text5

Dataset

Description전라북도 정읍시에 소재한 행정기관 현황중(구분, 기관명, 소재지도로명주소, 소재지지번주소, 전화번호, 팩스번호)등의 자료를 제공합니다.
Author전북특별자치도 정읍시
URLhttps://www.data.go.kr/data/15013707/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
팩스번호 has 42 (56.8%) missing valuesMissing
기관명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 16:58:05.047793
Analysis finished2024-03-14 16:58:06.220744
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct6
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size720.0 B
보건진료소
26 
읍면동
23 
보건지소
16 
사업소
직속기관
 
2

Length

Max length5
Median length4
Mean length3.9324324
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row본청
2nd row직속기관
3rd row직속기관
4th row사업소
5th row사업소

Common Values

ValueCountFrequency (%)
보건진료소 26
35.1%
읍면동 23
31.1%
보건지소 16
21.6%
사업소 6
 
8.1%
직속기관 2
 
2.7%
본청 1
 
1.4%

Length

2024-03-15T01:58:06.356561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:58:06.733853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건진료소 26
35.1%
읍면동 23
31.1%
보건지소 16
21.6%
사업소 6
 
8.1%
직속기관 2
 
2.7%
본청 1
 
1.4%

기관명
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size720.0 B
2024-03-15T01:58:07.906978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length8.1351351
Min length4

Characters and Unicode

Total characters602
Distinct characters99
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

Unique74 ?
Unique (%)100.0%

Sample

1st row정읍시청
2nd row정읍시 보건소
3rd row정읍시 농업기술센터
4th row정읍시 체육진흥사업소
5th row정읍시립중앙도서관
ValueCountFrequency (%)
보건진료소 25
 
21.0%
보건지소 16
 
13.4%
정읍시 4
 
3.4%
산내 1
 
0.8%
북면장학 1
 
0.8%
북면복흥 1
 
0.8%
북면태곡 1
 
0.8%
신태인양괴(구두지)보건진료소 1
 
0.8%
신태인백산 1
 
0.8%
신태인화호 1
 
0.8%
Other values (67) 67
56.3%
2024-03-15T01:58:09.773685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65
 
10.8%
47
 
7.8%
45
 
7.5%
43
 
7.1%
27
 
4.5%
26
 
4.3%
18
 
3.0%
18
 
3.0%
17
 
2.8%
15
 
2.5%
Other values (89) 281
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 555
92.2%
Space Separator 45
 
7.5%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
65
 
11.7%
47
 
8.5%
43
 
7.7%
27
 
4.9%
26
 
4.7%
18
 
3.2%
18
 
3.2%
17
 
3.1%
15
 
2.7%
14
 
2.5%
Other values (86) 265
47.7%
Space Separator
ValueCountFrequency (%)
45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 555
92.2%
Common 47
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
65
 
11.7%
47
 
8.5%
43
 
7.7%
27
 
4.9%
26
 
4.7%
18
 
3.2%
18
 
3.2%
17
 
3.1%
15
 
2.7%
14
 
2.5%
Other values (86) 265
47.7%
Common
ValueCountFrequency (%)
45
95.7%
) 1
 
2.1%
( 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 555
92.2%
ASCII 47
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
65
 
11.7%
47
 
8.5%
43
 
7.7%
27
 
4.9%
26
 
4.7%
18
 
3.2%
18
 
3.2%
17
 
3.1%
15
 
2.7%
14
 
2.5%
Other values (86) 265
47.7%
ASCII
ValueCountFrequency (%)
45
95.7%
) 1
 
2.1%
( 1
 
2.1%
Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size720.0 B
2024-03-15T01:58:11.040266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length23.148649
Min length19

Characters and Unicode

Total characters1713
Distinct characters98
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

Unique74 ?
Unique (%)100.0%

Sample

1st row전북특별자치도 정읍시 충정로 234
2nd row전북특별자치도 정읍시 수성1로 61
3rd row전북특별자치도 정읍시 정우면 정우남로 282
4th row전북특별자치도 정읍시 용흥1길 78-6
5th row전북특별자치도 정읍시 벚꽃로 511
ValueCountFrequency (%)
전북특별자치도 74
21.0%
정읍시 74
21.0%
신태인읍 6
 
1.7%
북면 5
 
1.4%
감곡면 4
 
1.1%
정읍북로 4
 
1.1%
황토현로 4
 
1.1%
이평면 4
 
1.1%
태인면 4
 
1.1%
옹동면 4
 
1.1%
Other values (134) 170
48.2%
2024-03-15T01:58:12.569863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
279
 
16.3%
90
 
5.3%
86
 
5.0%
85
 
5.0%
74
 
4.3%
74
 
4.3%
74
 
4.3%
74
 
4.3%
74
 
4.3%
74
 
4.3%
Other values (88) 729
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1187
69.3%
Space Separator 279
 
16.3%
Decimal Number 229
 
13.4%
Dash Punctuation 18
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
90
 
7.6%
86
 
7.2%
85
 
7.2%
74
 
6.2%
74
 
6.2%
74
 
6.2%
74
 
6.2%
74
 
6.2%
74
 
6.2%
74
 
6.2%
Other values (76) 408
34.4%
Decimal Number
ValueCountFrequency (%)
1 53
23.1%
3 30
13.1%
2 29
12.7%
8 25
10.9%
4 24
10.5%
5 20
 
8.7%
6 14
 
6.1%
7 12
 
5.2%
0 12
 
5.2%
9 10
 
4.4%
Space Separator
ValueCountFrequency (%)
279
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1187
69.3%
Common 526
30.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
90
 
7.6%
86
 
7.2%
85
 
7.2%
74
 
6.2%
74
 
6.2%
74
 
6.2%
74
 
6.2%
74
 
6.2%
74
 
6.2%
74
 
6.2%
Other values (76) 408
34.4%
Common
ValueCountFrequency (%)
279
53.0%
1 53
 
10.1%
3 30
 
5.7%
2 29
 
5.5%
8 25
 
4.8%
4 24
 
4.6%
5 20
 
3.8%
- 18
 
3.4%
6 14
 
2.7%
7 12
 
2.3%
Other values (2) 22
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1187
69.3%
ASCII 526
30.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
279
53.0%
1 53
 
10.1%
3 30
 
5.7%
2 29
 
5.5%
8 25
 
4.8%
4 24
 
4.6%
5 20
 
3.8%
- 18
 
3.4%
6 14
 
2.7%
7 12
 
2.3%
Other values (2) 22
 
4.2%
Hangul
ValueCountFrequency (%)
90
 
7.6%
86
 
7.2%
85
 
7.2%
74
 
6.2%
74
 
6.2%
74
 
6.2%
74
 
6.2%
74
 
6.2%
74
 
6.2%
74
 
6.2%
Other values (76) 408
34.4%
Distinct71
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size720.0 B
2024-03-15T01:58:14.090623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length24.027027
Min length20

Characters and Unicode

Total characters1778
Distinct characters98
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

Unique68 ?
Unique (%)91.9%

Sample

1st row전북특별자치도 정읍시 수성동 440-1
2nd row전북특별자치도 정읍시 수성동 958-2
3rd row전북특별자치도 정읍시 정우면 우산리 661
4th row전북특별자치도 정읍시 상평동 산19-6
5th row전북특별자치도 정읍시 상동 274-9
ValueCountFrequency (%)
정읍시 74
21.0%
전북특별자치도 73
20.7%
신태인읍 6
 
1.7%
북면 5
 
1.4%
수성동 5
 
1.4%
정우면 4
 
1.1%
옹동면 4
 
1.1%
칠보면 4
 
1.1%
태인면 4
 
1.1%
감곡면 4
 
1.1%
Other values (135) 170
48.2%
2024-03-15T01:58:15.903082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
279
 
15.7%
81
 
4.6%
80
 
4.5%
79
 
4.4%
77
 
4.3%
76
 
4.3%
74
 
4.2%
73
 
4.1%
73
 
4.1%
73
 
4.1%
Other values (88) 813
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1132
63.7%
Decimal Number 300
 
16.9%
Space Separator 279
 
15.7%
Dash Punctuation 67
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
81
 
7.2%
80
 
7.1%
79
 
7.0%
77
 
6.8%
76
 
6.7%
74
 
6.5%
73
 
6.4%
73
 
6.4%
73
 
6.4%
73
 
6.4%
Other values (76) 373
33.0%
Decimal Number
ValueCountFrequency (%)
1 63
21.0%
2 52
17.3%
4 42
14.0%
7 27
9.0%
3 25
 
8.3%
6 23
 
7.7%
5 21
 
7.0%
9 17
 
5.7%
8 16
 
5.3%
0 14
 
4.7%
Space Separator
ValueCountFrequency (%)
279
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1132
63.7%
Common 646
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
81
 
7.2%
80
 
7.1%
79
 
7.0%
77
 
6.8%
76
 
6.7%
74
 
6.5%
73
 
6.4%
73
 
6.4%
73
 
6.4%
73
 
6.4%
Other values (76) 373
33.0%
Common
ValueCountFrequency (%)
279
43.2%
- 67
 
10.4%
1 63
 
9.8%
2 52
 
8.0%
4 42
 
6.5%
7 27
 
4.2%
3 25
 
3.9%
6 23
 
3.6%
5 21
 
3.3%
9 17
 
2.6%
Other values (2) 30
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1132
63.7%
ASCII 646
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
279
43.2%
- 67
 
10.4%
1 63
 
9.8%
2 52
 
8.0%
4 42
 
6.5%
7 27
 
4.2%
3 25
 
3.9%
6 23
 
3.6%
5 21
 
3.3%
9 17
 
2.6%
Other values (2) 30
 
4.6%
Hangul
ValueCountFrequency (%)
81
 
7.2%
80
 
7.1%
79
 
7.0%
77
 
6.8%
76
 
6.7%
74
 
6.5%
73
 
6.4%
73
 
6.4%
73
 
6.4%
73
 
6.4%
Other values (76) 373
33.0%

전화번호
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size720.0 B
2024-03-15T01:58:16.989862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters888
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

Unique74 ?
Unique (%)100.0%

Sample

1st row063-539-7114
2nd row063-539-6071
3rd row063-539-6141
4th row063-539-5241
5th row063-539-6431
ValueCountFrequency (%)
063-539-7114 1
 
1.4%
063-534-0755 1
 
1.4%
063-535-0719 1
 
1.4%
063-535-5042 1
 
1.4%
063-571-2017 1
 
1.4%
063-571-3742 1
 
1.4%
063-571-6216 1
 
1.4%
063-539-6664 1
 
1.4%
063-539-6607 1
 
1.4%
063-539-6604 1
 
1.4%
Other values (64) 64
86.5%
2024-03-15T01:58:18.254982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 161
18.1%
- 148
16.7%
6 124
14.0%
5 99
11.1%
0 96
10.8%
9 63
 
7.1%
7 63
 
7.1%
1 58
 
6.5%
4 31
 
3.5%
8 30
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 740
83.3%
Dash Punctuation 148
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 161
21.8%
6 124
16.8%
5 99
13.4%
0 96
13.0%
9 63
 
8.5%
7 63
 
8.5%
1 58
 
7.8%
4 31
 
4.2%
8 30
 
4.1%
2 15
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 888
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 161
18.1%
- 148
16.7%
6 124
14.0%
5 99
11.1%
0 96
10.8%
9 63
 
7.1%
7 63
 
7.1%
1 58
 
6.5%
4 31
 
3.5%
8 30
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 888
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 161
18.1%
- 148
16.7%
6 124
14.0%
5 99
11.1%
0 96
10.8%
9 63
 
7.1%
7 63
 
7.1%
1 58
 
6.5%
4 31
 
3.5%
8 30
 
3.4%

팩스번호
Text

MISSING 

Distinct30
Distinct (%)93.8%
Missing42
Missing (%)56.8%
Memory size720.0 B
2024-03-15T01:58:18.960613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters384
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

Unique29 ?
Unique (%)90.6%

Sample

1st row063-531-8187
2nd row063-539-6531
3rd row063-539-6533
4th row063-539-6538
5th row063-539-6540
ValueCountFrequency (%)
063-539-6540 3
 
9.4%
063-531-8187 1
 
3.1%
063-539-6559 1
 
3.1%
063-539-6574 1
 
3.1%
063-539-6573 1
 
3.1%
063-539-6572 1
 
3.1%
063-539-6571 1
 
3.1%
063-539-6570 1
 
3.1%
063-539-6568 1
 
3.1%
063-539-6567 1
 
3.1%
Other values (20) 20
62.5%
2024-03-15T01:58:20.159963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 76
19.8%
6 72
18.8%
3 72
18.8%
- 64
16.7%
0 39
10.2%
9 31
8.1%
7 8
 
2.1%
4 7
 
1.8%
1 6
 
1.6%
8 6
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
83.3%
Dash Punctuation 64
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 76
23.8%
6 72
22.5%
3 72
22.5%
0 39
12.2%
9 31
9.7%
7 8
 
2.5%
4 7
 
2.2%
1 6
 
1.9%
8 6
 
1.9%
2 3
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 76
19.8%
6 72
18.8%
3 72
18.8%
- 64
16.7%
0 39
10.2%
9 31
8.1%
7 8
 
2.1%
4 7
 
1.8%
1 6
 
1.6%
8 6
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 76
19.8%
6 72
18.8%
3 72
18.8%
- 64
16.7%
0 39
10.2%
9 31
8.1%
7 8
 
2.1%
4 7
 
1.8%
1 6
 
1.6%
8 6
 
1.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size720.0 B
2024-01-23
74 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-23
2nd row2024-01-23
3rd row2024-01-23
4th row2024-01-23
5th row2024-01-23

Common Values

ValueCountFrequency (%)
2024-01-23 74
100.0%

Length

2024-03-15T01:58:20.395646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:58:20.610105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-23 74
100.0%

Correlations

2024-03-15T01:58:20.801013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분기관명소재지도로명주소소재지지번주소전화번호팩스번호
구분1.0001.0001.0000.7511.0001.000
기관명1.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.000
소재지지번주소0.7511.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.000

Missing values

2024-03-15T01:58:05.680169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:58:06.137565image/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

구분기관명소재지도로명주소소재지지번주소전화번호팩스번호데이터기준일자
0본청정읍시청전북특별자치도 정읍시 충정로 234전북특별자치도 정읍시 수성동 440-1063-539-7114063-531-81872024-01-23
1직속기관정읍시 보건소전북특별자치도 정읍시 수성1로 61전북특별자치도 정읍시 수성동 958-2063-539-6071063-539-65312024-01-23
2직속기관정읍시 농업기술센터전북특별자치도 정읍시 정우면 정우남로 282전북특별자치도 정읍시 정우면 우산리 661063-539-6141063-539-65332024-01-23
3사업소정읍시 체육진흥사업소전북특별자치도 정읍시 용흥1길 78-6전북특별자치도 정읍시 상평동 산19-6063-539-5241063-539-65382024-01-23
4사업소정읍시립중앙도서관전북특별자치도 정읍시 벚꽃로 511전북특별자치도 정읍시 상동 274-9063-539-6431063-539-65402024-01-23
5사업소정읍신태인도서관전북특별자치도 정읍시 신태인읍 신태인중앙로 47전북특별자치도 정읍시 신태인읍 신태인리 214-2063-539-6441063-539-65402024-01-23
6사업소정읍기적의도서관전북특별자치도 정읍시 수성5로 45-5전북특별자치도 정읍시 수성동 1014-1063-539-6451063-539-65402024-01-23
7사업소정읍시립박물관전북특별자치도 정읍시 내장산로 370-12전북특별자치도 정읍시 부전동 1009063-539-6417063-535-65082024-01-23
8사업소정읍시 상하수도사업소전북특별자치도 정읍시 충정로 237전북특별자치도 정읍시 수성동 620-2063-539-6461063-539-65432024-01-23
9읍면동신태인읍사무소전북특별자치도 정읍시 신태인읍 신태인중앙로 14전북특별자치도 정읍시 신태인읍 신태인리 142-26063-539-7031063-539-65502024-01-23
구분기관명소재지도로명주소소재지지번주소전화번호팩스번호데이터기준일자
64보건진료소태인매계 보건진료소전북특별자치도 정읍시 태인면 북태길 181-3전북특별자치도 정읍시 태인면 매계리 439-3063-536-7802<NA>2024-01-23
65보건진료소감곡유정 보건진료소전북특별자치도 정읍시 감곡면 감곡동서로 9전북특별자치도 정읍시 감곡면 유정리 1187-12063-571-1309<NA>2024-01-23
66보건진료소감곡통석 보건진료소전북특별자치도 정읍시 감곡면 백산감산로 684전북특별자치도 정읍시 감곡면 통석리 799-21063-571-0705<NA>2024-01-23
67보건진료소옹동용호 보건진료소전북특별자치도 정읍시 옹동면 용이길 31전북특별자치도 정읍시 옹동면 용호리 247-7063-538-8368<NA>2024-01-23
68보건진료소옹동산성 보건진료소전북특별자치도 정읍시 옹동면 태산로 2382전북특별자치도 정읍시 옹동면 산성리 221-7063-537-8168<NA>2024-01-23
69보건진료소칠보백암 보건진료소전북특별자치도 정읍시 칠보면 흥삼이1길 3전북특별자치도 정읍시 칠보면 백암리 810-12063-534-3447<NA>2024-01-23
70보건진료소칠보반곡 보건진료소전북특별자치도 정읍시 칠보면 칠보산로 1171전북특별자치도 정읍시 칠보면 반곡리 473-6063-534-3689<NA>2024-01-23
71보건진료소산내장금 보건진료소전북특별자치도 정읍시 산내면 평내길 13전북특별자치도 정읍시 산내면 장금리 784-1063-538-4169<NA>2024-01-23
72보건진료소산외종산 보건진료소전북특별자치도 정읍시 산외면 종운로 424-4전북특별자치도 정읍시 산외면 종산리 436-13063-538-5477<NA>2024-01-23
73보건진료소과교신정 보건진료소전북특별자치도 정읍시 신정마을길 38전북특별자치도 정읍시 신정동 1454063-535-0871<NA>2024-01-23