Overview

Dataset statistics

Number of variables10
Number of observations917
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory73.6 KiB
Average record size in memory82.1 B

Variable types

Numeric1
Categorical6
Text3

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-13 23:56:53.059727
Analysis finished2024-03-13 23:56:53.884763
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct917
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean459
Minimum1
Maximum917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-03-14T08:56:53.944103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile46.8
Q1230
median459
Q3688
95-th percentile871.2
Maximum917
Range916
Interquartile range (IQR)458

Descriptive statistics

Standard deviation264.8594
Coefficient of variation (CV)0.57703572
Kurtosis-1.2
Mean459
Median Absolute Deviation (MAD)229
Skewness0
Sum420903
Variance70150.5
MonotonicityStrictly increasing
2024-03-14T08:56:54.058761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
604 1
 
0.1%
606 1
 
0.1%
607 1
 
0.1%
608 1
 
0.1%
609 1
 
0.1%
610 1
 
0.1%
611 1
 
0.1%
612 1
 
0.1%
613 1
 
0.1%
Other values (907) 907
98.9%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
917 1
0.1%
916 1
0.1%
915 1
0.1%
914 1
0.1%
913 1
0.1%
912 1
0.1%
911 1
0.1%
910 1
0.1%
909 1
0.1%
908 1
0.1%

시군명
Categorical

Distinct14
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
전주시
360 
군산시
141 
익산시
131 
정읍시
53 
김제시
39 
Other values (9)
193 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전주시
2nd row김제시
3rd row전주시
4th row군산시
5th row김제시

Common Values

ValueCountFrequency (%)
전주시 360
39.3%
군산시 141
 
15.4%
익산시 131
 
14.3%
정읍시 53
 
5.8%
김제시 39
 
4.3%
남원시 35
 
3.8%
부안군 33
 
3.6%
완주군 30
 
3.3%
고창군 29
 
3.2%
무주군 17
 
1.9%
Other values (4) 49
 
5.3%

Length

2024-03-14T08:56:54.178092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 360
39.3%
군산시 141
 
15.4%
익산시 131
 
14.3%
정읍시 53
 
5.8%
김제시 39
 
4.3%
남원시 35
 
3.8%
부안군 33
 
3.6%
완주군 30
 
3.3%
고창군 29
 
3.2%
무주군 17
 
1.9%
Other values (4) 49
 
5.3%

병원명칭
Text

Distinct872
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2024-03-14T08:56:54.649477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length7.2322792
Min length3

Characters and Unicode

Total characters6632
Distinct characters347
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique839 ?
Unique (%)91.5%

Sample

1st row(사)인구보건복지협회전북지회가족보건의원
2nd row(의)동아의료재단 동아병원
3rd row21세기한의원
4th row333-5군산시선유도보건지소
5th row8대정성한의원
ValueCountFrequency (%)
현대의원 6
 
0.7%
현대가정의학과의원 4
 
0.4%
연세의원 3
 
0.3%
중앙의원 3
 
0.3%
중앙가정의학과의원 3
 
0.3%
하나의원 3
 
0.3%
우리가정의학과의원 3
 
0.3%
성심의원 3
 
0.3%
으뜸정형외과의원 2
 
0.2%
현대치과의원 2
 
0.2%
Other values (867) 890
96.5%
2024-03-14T08:56:54.971732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 919
 
13.9%
원 899
 
13.6%
과 552
 
8.3%
한 211
 
3.2%
치 152
 
2.3%
내 150
 
2.3%
정 145
 
2.2%
소 123
 
1.9%
학 90
 
1.4%
이 80
 
1.2%
Other values (337) 3311
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6606
99.6%
Decimal Number 9
 
0.1%
Space Separator 5
 
0.1%
Other Punctuation 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 919
 
13.9%
원 899
 
13.6%
과 552
 
8.4%
한 211
 
3.2%
치 152
 
2.3%
내 150
 
2.3%
정 145
 
2.2%
소 123
 
1.9%
학 90
 
1.4%
이 80
 
1.2%
Other values (323) 3285
49.7%
Decimal Number
ValueCountFrequency (%)
3 3
33.3%
1 2
22.2%
2 2
22.2%
8 1
 
11.1%
5 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
. 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
r 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6606
99.6%
Common 23
 
0.3%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 919
 
13.9%
원 899
 
13.6%
과 552
 
8.4%
한 211
 
3.2%
치 152
 
2.3%
내 150
 
2.3%
정 145
 
2.2%
소 123
 
1.9%
학 90
 
1.4%
이 80
 
1.2%
Other values (323) 3285
49.7%
Common
ValueCountFrequency (%)
5
21.7%
3 3
13.0%
( 2
 
8.7%
) 2
 
8.7%
& 2
 
8.7%
- 2
 
8.7%
1 2
 
8.7%
2 2
 
8.7%
. 1
 
4.3%
8 1
 
4.3%
Latin
ValueCountFrequency (%)
e 1
33.3%
D 1
33.3%
r 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6606
99.6%
ASCII 26
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 919
 
13.9%
원 899
 
13.6%
과 552
 
8.4%
한 211
 
3.2%
치 152
 
2.3%
내 150
 
2.3%
정 145
 
2.2%
소 123
 
1.9%
학 90
 
1.4%
이 80
 
1.2%
Other values (323) 3285
49.7%
ASCII
ValueCountFrequency (%)
5
19.2%
3 3
11.5%
( 2
 
7.7%
) 2
 
7.7%
& 2
 
7.7%
- 2
 
7.7%
1 2
 
7.7%
2 2
 
7.7%
. 1
 
3.8%
e 1
 
3.8%
Other values (4) 4
15.4%

전화번호
Text

Distinct913
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2024-03-14T08:56:55.195384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.001091
Min length12

Characters and Unicode

Total characters11005
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

Unique909 ?
Unique (%)99.1%

Sample

1st row063-240-2345
2nd row063-770-7700
3rd row063-273-3080
4th row063-454-5149
5th row063-544-7510
ValueCountFrequency (%)
063-452-1175 2
 
0.2%
063-270-1201 2
 
0.2%
063-545-8700 2
 
0.2%
063-220-8750 2
 
0.2%
063-861-0010 1
 
0.1%
063-842-9385 1
 
0.1%
063-862-4521 1
 
0.1%
063-859-4252 1
 
0.1%
063-836-8476 1
 
0.1%
063-858-8192 1
 
0.1%
Other values (903) 903
98.5%
2024-03-14T08:56:55.565480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1834
16.7%
0 1562
14.2%
3 1544
14.0%
6 1430
13.0%
2 1031
9.4%
5 960
8.7%
8 648
 
5.9%
7 610
 
5.5%
4 603
 
5.5%
1 523
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9171
83.3%
Dash Punctuation 1834
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1562
17.0%
3 1544
16.8%
6 1430
15.6%
2 1031
11.2%
5 960
10.5%
8 648
7.1%
7 610
 
6.7%
4 603
 
6.6%
1 523
 
5.7%
9 260
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 1834
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11005
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1834
16.7%
0 1562
14.2%
3 1544
14.0%
6 1430
13.0%
2 1031
9.4%
5 960
8.7%
8 648
 
5.9%
7 610
 
5.5%
4 603
 
5.5%
1 523
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11005
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1834
16.7%
0 1562
14.2%
3 1544
14.0%
6 1430
13.0%
2 1031
9.4%
5 960
8.7%
8 648
 
5.9%
7 610
 
5.5%
4 603
 
5.5%
1 523
 
4.8%

도로명주소
Text

Distinct891
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2024-03-14T08:56:55.853483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length20.210469
Min length10

Characters and Unicode

Total characters18533
Distinct characters295
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique865 ?
Unique (%)94.3%

Sample

1st row전주시 덕진구 백제대로 720(인후동2가)
2nd row김제시 요촌1길 97(요촌동)
3rd row전주시 완산구 팔달로 255(서노송동)
4th row군산시 옥도면 선유북길 68
5th row김제시 만경읍 만경4길 6
ValueCountFrequency (%)
전주시 360
 
9.5%
완산구 206
 
5.4%
덕진구 154
 
4.0%
군산시 141
 
3.7%
익산시 131
 
3.4%
2층 87
 
2.3%
정읍시 53
 
1.4%
김제시 39
 
1.0%
남원시 35
 
0.9%
3층 35
 
0.9%
Other values (1370) 2564
67.4%
2024-03-14T08:56:56.301388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2888
 
15.6%
1 794
 
4.3%
로 790
 
4.3%
동 785
 
4.2%
시 776
 
4.2%
) 692
 
3.7%
( 692
 
3.7%
2 649
 
3.5%
산 640
 
3.5%
주 431
 
2.3%
Other values (285) 9396
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10756
58.0%
Decimal Number 3294
 
17.8%
Space Separator 2888
 
15.6%
Close Punctuation 692
 
3.7%
Open Punctuation 692
 
3.7%
Dash Punctuation 111
 
0.6%
Other Punctuation 88
 
0.5%
Lowercase Letter 5
 
< 0.1%
Uppercase Letter 4
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 790
 
7.3%
동 785
 
7.3%
시 776
 
7.2%
산 640
 
6.0%
주 431
 
4.0%
전 384
 
3.6%
구 381
 
3.5%
가 328
 
3.0%
군 303
 
2.8%
완 241
 
2.2%
Other values (259) 5697
53.0%
Decimal Number
ValueCountFrequency (%)
1 794
24.1%
2 649
19.7%
3 383
11.6%
4 262
 
8.0%
0 231
 
7.0%
5 226
 
6.9%
6 199
 
6.0%
8 189
 
5.7%
7 183
 
5.6%
9 178
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
v 1
20.0%
e 1
20.0%
n 1
20.0%
s 1
20.0%
u 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
25.0%
B 1
25.0%
C 1
25.0%
N 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 84
95.5%
. 4
 
4.5%
Space Separator
ValueCountFrequency (%)
2888
100.0%
Close Punctuation
ValueCountFrequency (%)
) 692
100.0%
Open Punctuation
ValueCountFrequency (%)
( 692
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10756
58.0%
Common 7768
41.9%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 790
 
7.3%
동 785
 
7.3%
시 776
 
7.2%
산 640
 
6.0%
주 431
 
4.0%
전 384
 
3.6%
구 381
 
3.5%
가 328
 
3.0%
군 303
 
2.8%
완 241
 
2.2%
Other values (259) 5697
53.0%
Common
ValueCountFrequency (%)
2888
37.2%
1 794
 
10.2%
) 692
 
8.9%
( 692
 
8.9%
2 649
 
8.4%
3 383
 
4.9%
4 262
 
3.4%
0 231
 
3.0%
5 226
 
2.9%
6 199
 
2.6%
Other values (7) 752
 
9.7%
Latin
ValueCountFrequency (%)
K 1
11.1%
B 1
11.1%
C 1
11.1%
N 1
11.1%
v 1
11.1%
e 1
11.1%
n 1
11.1%
s 1
11.1%
u 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10756
58.0%
ASCII 7777
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2888
37.1%
1 794
 
10.2%
) 692
 
8.9%
( 692
 
8.9%
2 649
 
8.3%
3 383
 
4.9%
4 262
 
3.4%
0 231
 
3.0%
5 226
 
2.9%
6 199
 
2.6%
Other values (16) 761
 
9.8%
Hangul
ValueCountFrequency (%)
로 790
 
7.3%
동 785
 
7.3%
시 776
 
7.2%
산 640
 
6.0%
주 431
 
4.0%
전 384
 
3.6%
구 381
 
3.5%
가 328
 
3.0%
군 303
 
2.8%
완 241
 
2.2%
Other values (259) 5697
53.0%

실시여부
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
-
555 
실시중
362 

Length

Max length3
Median length1
Mean length1.7895311
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
- 555
60.5%
실시중 362
39.5%

Length

2024-03-14T08:56:56.420665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:56:56.522657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
555
60.5%
실시중 362
39.5%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
건강안전과
917 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강안전과 917
100.0%

Length

2024-03-14T08:56:56.601522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:56:56.667165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강안전과 917
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
공개
917 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 917
100.0%

Length

2024-03-14T08:56:56.735615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:56:56.803558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 917
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
2015.1
917 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015.1
2nd row2015.1
3rd row2015.1
4th row2015.1
5th row2015.1

Common Values

ValueCountFrequency (%)
2015.1 917
100.0%

Length

2024-03-14T08:56:56.870900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:56:56.935723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 917
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
1년
917 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 917
100.0%

Length

2024-03-14T08:56:57.005714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:56:57.069787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 917
100.0%

Interactions

2024-03-14T08:56:53.526349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T08:56:57.113409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명실시여부
순번1.0000.2970.000
시군명0.2971.0000.046
실시여부0.0000.0461.000
2024-03-14T08:56:57.186326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명실시여부
시군명1.0000.036
실시여부0.0361.000
2024-03-14T08:56:57.254460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명실시여부
순번1.0000.1240.000
시군명0.1241.0000.036
실시여부0.0000.0361.000

Missing values

2024-03-14T08:56:53.672919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T08:56:53.837617image/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

순번시군명병원명칭전화번호도로명주소실시여부자료출처공개여부작성일갱신주기
01전주시(사)인구보건복지협회전북지회가족보건의원063-240-2345전주시 덕진구 백제대로 720(인후동2가)-건강안전과공개2015.11년
12김제시(의)동아의료재단 동아병원063-770-7700김제시 요촌1길 97(요촌동)-건강안전과공개2015.11년
23전주시21세기한의원063-273-3080전주시 완산구 팔달로 255(서노송동)-건강안전과공개2015.11년
34군산시333-5군산시선유도보건지소063-454-5149군산시 옥도면 선유북길 68-건강안전과공개2015.11년
45김제시8대정성한의원063-544-7510김제시 만경읍 만경4길 6-건강안전과공개2015.11년
56익산시Dr한치과의원063-852-2766익산시 고현로 114 3층 (모현동1가)실시중건강안전과공개2015.11년
67전주시e-플러스치과의원063-223-2871전주시 완산구 거마평로 189-11 2층 (효자동1가,홈플러스)실시중건강안전과공개2015.11년
78군산시가을의원063-467-7343군산시 문화로 21 2층 (문화동,문화빌딩)실시중건강안전과공개2015.11년
89익산시가인치과의원063-831-2835익산시 궁동로 124(부송동)실시중건강안전과공개2015.11년
910익산시가정의원063-862-6998익산시 함열읍 상조석재길 35실시중건강안전과공개2015.11년
순번시군명병원명칭전화번호도로명주소실시여부자료출처공개여부작성일갱신주기
907908전주시효자내과의원063-227-1081전주시 완산구 효자천변2길 7(효자동1가)실시중건강안전과공개2015.11년
908909전주시효자비뇨기과의원063-222-0075전주시 완산구 용머리로 57 201호 (효자동1가)-건강안전과공개2015.11년
909910전주시효자한의원063-222-3129전주시 완산구 백제대로 52(삼천동1가)-건강안전과공개2015.11년
910911전주시효정내과의원063-211-1175전주시 덕진구 쪽구름로 63(여의동)-건강안전과공개2015.11년
911912남원시효치과의원063-633-2882남원시 용성로 90(죽항동)-건강안전과공개2015.11년
912913전주시휴가정의학과의원063-246-7975전주시 덕진구 안덕원로 252 2층 (인후동1가)실시중건강안전과공개2015.11년
913914전주시휴먼키즈소아청소년과의원063-278-3203전주시 완산구 호암로 59 2층 (효자동2가)-건강안전과공개2015.11년
914915고창군흥덕제일의원063-561-3535고창군 흥덕면 선운대로 3728실시중건강안전과공개2015.11년
915916고창군흥덕한의원063-561-1175고창군 흥덕면 선운대로 3720-2-건강안전과공개2015.11년
916917전주시흰돌치과의원063-242-2756전주시 덕진구 안덕원로 275(인후동1가)-건강안전과공개2015.11년