Overview

Dataset statistics

Number of variables16
Number of observations70
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory135.8 B

Variable types

Text5
DateTime2
Categorical3
Numeric6

Dataset

Description전북특별자치도 전주시 내 병원을 제공하며 사업장명, 인허가일자, 영업상황, 전화번호, 주소 등을 제공합니다.병원, 종합병원, 치과병원 등 의사가 환자를 진찰 및 진료하는데 필요한 설비가 갖춰있으며, 30명 이상의 환자를 수용할 수 있는 시설을 갖춘 의료기관항목 : 사업장명, 인허가일자, 상세영업상태, 소재지전화번호, 도로명주소, 지번주소, 위도, 경도 등담당부서: 보건행정과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15060746/fileData.do

Alerts

상세영업상태명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
의료기관종별명 is highly overall correlated with 업태구분명High correlation
업태구분명 is highly overall correlated with 의료기관종별명High correlation
의료인수 is highly overall correlated with 입원실수 and 2 other fieldsHigh correlation
입원실수 is highly overall correlated with 의료인수 and 2 other fieldsHigh correlation
병상수 is highly overall correlated with 의료인수 and 2 other fieldsHigh correlation
총면적 is highly overall correlated with 의료인수 and 2 other fieldsHigh correlation
진료과목내용명 has 1 (1.4%) missing valuesMissing
사업장명 has unique valuesUnique
인허가일자 has unique valuesUnique
총면적 has unique valuesUnique
의료인수 has 1 (1.4%) zerosZeros
입원실수 has 2 (2.9%) zerosZeros
병상수 has 2 (2.9%) zerosZeros

Reproduction

Analysis started2024-03-14 10:00:49.552369
Analysis finished2024-03-14 10:01:01.147646
Duration11.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size688.0 B
2024-03-14T19:01:01.871530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length8.2857143
Min length3

Characters and Unicode

Total characters580
Distinct characters137
Distinct categories3 ?
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 row가람한방병원
2nd row나은요양병원
3rd row누가한방병원
4th row다사랑병원
5th row대자인병원
ValueCountFrequency (%)
의료법인 4
 
4.7%
가람한방병원 1
 
1.2%
전일한방병원 1
 
1.2%
전주시립요양병원 1
 
1.2%
전주수한방병원 1
 
1.2%
전주늘사랑요양병원 1
 
1.2%
전주기독병원 1
 
1.2%
전주고려병원 1
 
1.2%
지리산한방병원 1
 
1.2%
정드림요양병원 1
 
1.2%
Other values (72) 72
84.7%
2024-03-14T19:01:03.277401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 72
 
12.4%
병 71
 
12.2%
양 28
 
4.8%
요 27
 
4.7%
한 20
 
3.4%
전 20
 
3.4%
의 19
 
3.3%
주 16
 
2.8%
료 15
 
2.6%
15
 
2.6%
Other values (127) 277
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 563
97.1%
Space Separator 15
 
2.6%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 72
 
12.8%
병 71
 
12.6%
양 28
 
5.0%
요 27
 
4.8%
한 20
 
3.6%
전 20
 
3.6%
의 19
 
3.4%
주 16
 
2.8%
료 15
 
2.7%
재 12
 
2.1%
Other values (124) 263
46.7%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 563
97.1%
Common 17
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 72
 
12.8%
병 71
 
12.6%
양 28
 
5.0%
요 27
 
4.8%
한 20
 
3.6%
전 20
 
3.6%
의 19
 
3.4%
주 16
 
2.8%
료 15
 
2.7%
재 12
 
2.1%
Other values (124) 263
46.7%
Common
ValueCountFrequency (%)
15
88.2%
1 1
 
5.9%
2 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 563
97.1%
ASCII 17
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 72
 
12.8%
병 71
 
12.6%
양 28
 
5.0%
요 27
 
4.8%
한 20
 
3.6%
전 20
 
3.6%
의 19
 
3.4%
주 16
 
2.8%
료 15
 
2.7%
재 12
 
2.1%
Other values (124) 263
46.7%
ASCII
ValueCountFrequency (%)
15
88.2%
1 1
 
5.9%
2 1
 
5.9%

인허가일자
Date

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size688.0 B
Minimum1974-05-09 00:00:00
Maximum2022-02-25 00:00:00
2024-03-14T19:01:03.666677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:01:04.096455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size688.0 B
영업중
70 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 70
100.0%

Length

2024-03-14T19:01:04.527200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:01:04.841700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 70
100.0%

소재지전화
Text

Distinct69
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size688.0 B
2024-03-14T19:01:05.645055image/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

Unique68 ?
Unique (%)97.1%

Sample

1st row063-270-8600
2nd row063-715-2300
3rd row063-252-9111
4th row063-228-5540
5th row063-240-2000
ValueCountFrequency (%)
063-220-8300 2
 
2.9%
063-279-0900 1
 
1.4%
063-220-9700 1
 
1.4%
063-247-9999 1
 
1.4%
063-224-0081 1
 
1.4%
063-220-7000 1
 
1.4%
063-240-7300 1
 
1.4%
063-270-5200 1
 
1.4%
063-270-8600 1
 
1.4%
063-276-7122 1
 
1.4%
Other values (59) 59
84.3%
2024-03-14T19:01:06.912565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 201
23.9%
- 140
16.7%
2 111
13.2%
3 102
12.1%
6 81
9.6%
1 60
 
7.1%
7 44
 
5.2%
5 33
 
3.9%
8 30
 
3.6%
4 23
 
2.7%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 201
28.7%
2 111
15.9%
3 102
14.6%
6 81
11.6%
1 60
 
8.6%
7 44
 
6.3%
5 33
 
4.7%
8 30
 
4.3%
4 23
 
3.3%
9 15
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 840
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 201
23.9%
- 140
16.7%
2 111
13.2%
3 102
12.1%
6 81
9.6%
1 60
 
7.1%
7 44
 
5.2%
5 33
 
3.9%
8 30
 
3.6%
4 23
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 201
23.9%
- 140
16.7%
2 111
13.2%
3 102
12.1%
6 81
9.6%
1 60
 
7.1%
7 44
 
5.2%
5 33
 
3.9%
8 30
 
3.6%
4 23
 
2.7%

도로명주소
Text

Distinct69
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size688.0 B
2024-03-14T19:01:08.438811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length42
Mean length32.957143
Min length28

Characters and Unicode

Total characters2307
Distinct characters144
Distinct categories8 ?
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 (%)97.1%

Sample

1st row전북특별자치도 전주시 덕진구 송천중앙로 60, 3~6층 (송천동1가)
2nd row전북특별자치도 전주시 덕진구 기린대로 951 (여의동)
3rd row전북특별자치도 전주시 덕진구 안덕원로 218 (인후동1가)
4th row전북특별자치도 전주시 완산구 백제대로 74 (삼천동1가)
5th row전북특별자치도 전주시 덕진구 견훤로 390 (우아동3가)
ValueCountFrequency (%)
전북특별자치도 70
 
16.2%
전주시 70
 
16.2%
완산구 45
 
10.4%
덕진구 25
 
5.8%
백제대로 11
 
2.5%
중화산동2가 9
 
2.1%
금암동 6
 
1.4%
안덕원로 4
 
0.9%
평화동1가 4
 
0.9%
송천동1가 4
 
0.9%
Other values (137) 185
42.7%
2024-03-14T19:01:10.923197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
363
 
15.7%
전 146
 
6.3%
자 86
 
3.7%
주 75
 
3.3%
구 73
 
3.2%
북 72
 
3.1%
동 72
 
3.1%
( 71
 
3.1%
) 71
 
3.1%
치 71
 
3.1%
Other values (134) 1207
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1517
65.8%
Space Separator 363
 
15.7%
Decimal Number 262
 
11.4%
Open Punctuation 71
 
3.1%
Close Punctuation 71
 
3.1%
Other Punctuation 16
 
0.7%
Dash Punctuation 6
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 146
 
9.6%
자 86
 
5.7%
주 75
 
4.9%
구 73
 
4.8%
북 72
 
4.7%
동 72
 
4.7%
치 71
 
4.7%
도 70
 
4.6%
별 70
 
4.6%
특 70
 
4.6%
Other values (118) 712
46.9%
Decimal Number
ValueCountFrequency (%)
1 58
22.1%
2 48
18.3%
3 35
13.4%
7 23
 
8.8%
0 19
 
7.3%
6 19
 
7.3%
4 18
 
6.9%
5 16
 
6.1%
8 15
 
5.7%
9 11
 
4.2%
Space Separator
ValueCountFrequency (%)
363
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1517
65.8%
Common 790
34.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 146
 
9.6%
자 86
 
5.7%
주 75
 
4.9%
구 73
 
4.8%
북 72
 
4.7%
동 72
 
4.7%
치 71
 
4.7%
도 70
 
4.6%
별 70
 
4.6%
특 70
 
4.6%
Other values (118) 712
46.9%
Common
ValueCountFrequency (%)
363
45.9%
( 71
 
9.0%
) 71
 
9.0%
1 58
 
7.3%
2 48
 
6.1%
3 35
 
4.4%
7 23
 
2.9%
0 19
 
2.4%
6 19
 
2.4%
4 18
 
2.3%
Other values (6) 65
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1517
65.8%
ASCII 790
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
363
45.9%
( 71
 
9.0%
) 71
 
9.0%
1 58
 
7.3%
2 48
 
6.1%
3 35
 
4.4%
7 23
 
2.9%
0 19
 
2.4%
6 19
 
2.4%
4 18
 
2.3%
Other values (6) 65
 
8.2%
Hangul
ValueCountFrequency (%)
전 146
 
9.6%
자 86
 
5.7%
주 75
 
4.9%
구 73
 
4.8%
북 72
 
4.7%
동 72
 
4.7%
치 71
 
4.7%
도 70
 
4.6%
별 70
 
4.6%
특 70
 
4.6%
Other values (118) 712
46.9%

지번주소
Text

Distinct68
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size688.0 B
2024-03-14T19:01:12.109033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length26.6
Min length23

Characters and Unicode

Total characters1862
Distinct characters55
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

Unique66 ?
Unique (%)94.3%

Sample

1st row전북특별자치도 전주시 덕진구 송천동1가 270-1
2nd row전북특별자치도 전주시 덕진구 여의동 558-4
3rd row전북특별자치도 전주시 덕진구 인후동1가 594-14
4th row전북특별자치도 전주시 완산구 삼천동1가 732-3
5th row전북특별자치도 전주시 덕진구 우아동3가 734-17
ValueCountFrequency (%)
전북특별자치도 70
19.9%
전주시 70
19.9%
완산구 45
 
12.8%
덕진구 25
 
7.1%
중화산동2가 9
 
2.6%
송천동1가 4
 
1.1%
평화동1가 4
 
1.1%
효자동1가 4
 
1.1%
효자동2가 4
 
1.1%
금암동 4
 
1.1%
Other values (92) 113
32.1%
2024-03-14T19:01:13.587793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
282
 
15.1%
전 140
 
7.5%
자 81
 
4.4%
1 73
 
3.9%
북 71
 
3.8%
시 70
 
3.8%
동 70
 
3.8%
구 70
 
3.8%
주 70
 
3.8%
도 70
 
3.8%
Other values (45) 865
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1192
64.0%
Decimal Number 333
 
17.9%
Space Separator 282
 
15.1%
Dash Punctuation 55
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 140
 
11.7%
자 81
 
6.8%
북 71
 
6.0%
시 70
 
5.9%
동 70
 
5.9%
구 70
 
5.9%
주 70
 
5.9%
도 70
 
5.9%
치 70
 
5.9%
별 70
 
5.9%
Other values (33) 410
34.4%
Decimal Number
ValueCountFrequency (%)
1 73
21.9%
2 61
18.3%
3 31
9.3%
5 31
9.3%
8 28
 
8.4%
4 27
 
8.1%
9 27
 
8.1%
7 24
 
7.2%
6 17
 
5.1%
0 14
 
4.2%
Space Separator
ValueCountFrequency (%)
282
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1192
64.0%
Common 670
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 140
 
11.7%
자 81
 
6.8%
북 71
 
6.0%
시 70
 
5.9%
동 70
 
5.9%
구 70
 
5.9%
주 70
 
5.9%
도 70
 
5.9%
치 70
 
5.9%
별 70
 
5.9%
Other values (33) 410
34.4%
Common
ValueCountFrequency (%)
282
42.1%
1 73
 
10.9%
2 61
 
9.1%
- 55
 
8.2%
3 31
 
4.6%
5 31
 
4.6%
8 28
 
4.2%
4 27
 
4.0%
9 27
 
4.0%
7 24
 
3.6%
Other values (2) 31
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1192
64.0%
ASCII 670
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
282
42.1%
1 73
 
10.9%
2 61
 
9.1%
- 55
 
8.2%
3 31
 
4.6%
5 31
 
4.6%
8 28
 
4.2%
4 27
 
4.0%
9 27
 
4.0%
7 24
 
3.6%
Other values (2) 31
 
4.6%
Hangul
ValueCountFrequency (%)
전 140
 
11.7%
자 81
 
6.8%
북 71
 
6.0%
시 70
 
5.9%
동 70
 
5.9%
구 70
 
5.9%
주 70
 
5.9%
도 70
 
5.9%
치 70
 
5.9%
별 70
 
5.9%
Other values (33) 410
34.4%

위도
Real number (ℝ)

Distinct68
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.822421
Minimum35.767077
Maximum35.872576
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size758.0 B
2024-03-14T19:01:13.836113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.767077
5-th percentile35.791964
Q135.80575
median35.818407
Q335.838919
95-th percentile35.862596
Maximum35.872576
Range0.10549888
Interquartile range (IQR)0.033168962

Descriptive statistics

Standard deviation0.022202006
Coefficient of variation (CV)0.00061977961
Kurtosis-0.31992987
Mean35.822421
Median Absolute Deviation (MAD)0.01535846
Skewness0.23581757
Sum2507.5695
Variance0.00049292909
MonotonicityNot monotonic
2024-03-14T19:01:14.088516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.81741014 2
 
2.9%
35.84788528 2
 
2.9%
35.85093335 1
 
1.4%
35.85822916 1
 
1.4%
35.80408206 1
 
1.4%
35.83930266 1
 
1.4%
35.79847829 1
 
1.4%
35.80871229 1
 
1.4%
35.84009687 1
 
1.4%
35.85243751 1
 
1.4%
Other values (58) 58
82.9%
ValueCountFrequency (%)
35.76707707 1
1.4%
35.78686647 1
1.4%
35.79056737 1
1.4%
35.79189899 1
1.4%
35.79204365 1
1.4%
35.79365647 1
1.4%
35.79459473 1
1.4%
35.79599558 1
1.4%
35.79614908 1
1.4%
35.79705086 1
1.4%
ValueCountFrequency (%)
35.87257595 1
1.4%
35.87001072 1
1.4%
35.86442664 1
1.4%
35.86333293 1
1.4%
35.86169453 1
1.4%
35.85822916 1
1.4%
35.85243751 1
1.4%
35.85093335 1
1.4%
35.84788528 2
2.9%
35.84700562 1
1.4%

경도
Real number (ℝ)

Distinct68
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.12528
Minimum127.07318
Maximum127.16817
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size758.0 B
2024-03-14T19:01:14.339141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.07318
5-th percentile127.07945
Q1127.11623
median127.12683
Q3127.1401
95-th percentile127.15631
Maximum127.16817
Range0.0949941
Interquartile range (IQR)0.02386435

Descriptive statistics

Standard deviation0.021532152
Coefficient of variation (CV)0.00016937742
Kurtosis0.28983745
Mean127.12528
Median Absolute Deviation (MAD)0.0113806
Skewness-0.59502116
Sum8898.7699
Variance0.00046363358
MonotonicityNot monotonic
2024-03-14T19:01:14.804273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1285633 2
 
2.9%
127.1411043 2
 
2.9%
127.1195564 1
 
1.4%
127.1205777 1
 
1.4%
127.0857351 1
 
1.4%
127.1681718 1
 
1.4%
127.1162915 1
 
1.4%
127.1153751 1
 
1.4%
127.1673162 1
 
1.4%
127.1202239 1
 
1.4%
Other values (58) 58
82.9%
ValueCountFrequency (%)
127.0731777 1
1.4%
127.0752271 1
1.4%
127.0767305 1
1.4%
127.0784751 1
1.4%
127.0806498 1
1.4%
127.0857351 1
1.4%
127.0887394 1
1.4%
127.0946211 1
1.4%
127.101448 1
1.4%
127.1027052 1
1.4%
ValueCountFrequency (%)
127.1681718 1
1.4%
127.1673162 1
1.4%
127.159232 1
1.4%
127.1587682 1
1.4%
127.1533161 1
1.4%
127.1509241 1
1.4%
127.1500603 1
1.4%
127.1491124 1
1.4%
127.1480813 1
1.4%
127.1468816 1
1.4%

업태구분명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size688.0 B
요양병원(일반요양병원)
27 
병원
23 
한방병원
12 
종합병원
5 
치과병원
 
2

Length

Max length12
Median length10
Mean length6.5142857
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row한방병원
2nd row요양병원(일반요양병원)
3rd row한방병원
4th row병원
5th row종합병원

Common Values

ValueCountFrequency (%)
요양병원(일반요양병원) 27
38.6%
병원 23
32.9%
한방병원 12
17.1%
종합병원 5
 
7.1%
치과병원 2
 
2.9%
요양병원(노인병원) 1
 
1.4%

Length

2024-03-14T19:01:15.187406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:01:15.528784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요양병원(일반요양병원 27
38.6%
병원 23
32.9%
한방병원 12
17.1%
종합병원 5
 
7.1%
치과병원 2
 
2.9%
요양병원(노인병원 1
 
1.4%

의료기관종별명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size688.0 B
요양병원(일반요양병원)
27 
병원
23 
한방병원
12 
종합병원
5 
치과병원
 
2

Length

Max length12
Median length10
Mean length6.5142857
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row한방병원
2nd row요양병원(일반요양병원)
3rd row한방병원
4th row병원
5th row종합병원

Common Values

ValueCountFrequency (%)
요양병원(일반요양병원) 27
38.6%
병원 23
32.9%
한방병원 12
17.1%
종합병원 5
 
7.1%
치과병원 2
 
2.9%
요양병원(노인병원) 1
 
1.4%

Length

2024-03-14T19:01:15.927926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:01:16.266512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요양병원(일반요양병원 27
38.6%
병원 23
32.9%
한방병원 12
17.1%
종합병원 5
 
7.1%
치과병원 2
 
2.9%
요양병원(노인병원 1
 
1.4%

의료인수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct37
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.214286
Minimum0
Maximum1505
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size758.0 B
2024-03-14T19:01:16.635275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median14
Q326
95-th percentile106.8
Maximum1505
Range1505
Interquartile range (IQR)17

Descriptive statistics

Standard deviation200.50407
Coefficient of variation (CV)3.6983622
Kurtosis43.150612
Mean54.214286
Median Absolute Deviation (MAD)8
Skewness6.4003058
Sum3795
Variance40201.881
MonotonicityNot monotonic
2024-03-14T19:01:17.059530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
14 6
 
8.6%
9 5
 
7.1%
4 4
 
5.7%
19 4
 
5.7%
10 4
 
5.7%
26 4
 
5.7%
13 3
 
4.3%
3 3
 
4.3%
12 3
 
4.3%
5 2
 
2.9%
Other values (27) 32
45.7%
ValueCountFrequency (%)
0 1
 
1.4%
2 1
 
1.4%
3 3
4.3%
4 4
5.7%
5 2
 
2.9%
6 1
 
1.4%
7 2
 
2.9%
8 1
 
1.4%
9 5
7.1%
10 4
5.7%
ValueCountFrequency (%)
1505 1
1.4%
795 1
1.4%
177 1
1.4%
123 1
1.4%
87 1
1.4%
57 1
1.4%
55 1
1.4%
48 1
1.4%
41 1
1.4%
38 1
1.4%

입원실수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct41
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.642857
Minimum0
Maximum297
Zeros2
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size758.0 B
2024-03-14T19:01:17.463912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.9
Q124
median33
Q347.25
95-th percentile123.45
Maximum297
Range297
Interquartile range (IQR)23.25

Descriptive statistics

Standard deviation47.401472
Coefficient of variation (CV)1.061793
Kurtosis15.463458
Mean44.642857
Median Absolute Deviation (MAD)11.5
Skewness3.6912673
Sum3125
Variance2246.8996
MonotonicityNot monotonic
2024-03-14T19:01:17.891006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
24 6
 
8.6%
37 5
 
7.1%
45 3
 
4.3%
18 3
 
4.3%
31 2
 
2.9%
56 2
 
2.9%
39 2
 
2.9%
30 2
 
2.9%
29 2
 
2.9%
38 2
 
2.9%
Other values (31) 41
58.6%
ValueCountFrequency (%)
0 2
 
2.9%
6 1
 
1.4%
10 1
 
1.4%
12 1
 
1.4%
15 2
 
2.9%
18 3
4.3%
19 1
 
1.4%
20 2
 
2.9%
21 1
 
1.4%
24 6
8.6%
ValueCountFrequency (%)
297 1
1.4%
241 1
1.4%
164 1
1.4%
159 1
1.4%
80 1
1.4%
78 1
1.4%
68 1
1.4%
66 1
1.4%
59 1
1.4%
58 1
1.4%

병상수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct64
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.15714
Minimum0
Maximum1199
Zeros2
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size758.0 B
2024-03-14T19:01:18.243737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35.85
Q180.75
median126
Q3209.5
95-th percentile453.7
Maximum1199
Range1199
Interquartile range (IQR)128.75

Descriptive statistics

Standard deviation190.58686
Coefficient of variation (CV)1.0405647
Kurtosis13.419649
Mean183.15714
Median Absolute Deviation (MAD)62
Skewness3.2961819
Sum12821
Variance36323.352
MonotonicityNot monotonic
2024-03-14T19:01:18.501696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
178 2
 
2.9%
0 2
 
2.9%
99 2
 
2.9%
188 2
 
2.9%
30 2
 
2.9%
279 2
 
2.9%
111 1
 
1.4%
144 1
 
1.4%
206 1
 
1.4%
83 1
 
1.4%
Other values (54) 54
77.1%
ValueCountFrequency (%)
0 2
2.9%
30 2
2.9%
43 1
1.4%
48 1
1.4%
49 1
1.4%
51 1
1.4%
56 1
1.4%
57 1
1.4%
58 1
1.4%
61 1
1.4%
ValueCountFrequency (%)
1199 1
1.4%
803 1
1.4%
793 1
1.4%
568 1
1.4%
314 1
1.4%
311 1
1.4%
298 1
1.4%
289 1
1.4%
288 1
1.4%
287 1
1.4%

총면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31063.791
Minimum844.9
Maximum1651865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size758.0 B
2024-03-14T19:01:18.751587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum844.9
5-th percentile1347.8845
Q12173.6175
median3575.115
Q35310.335
95-th percentile21891.6
Maximum1651865
Range1651020.1
Interquartile range (IQR)3136.7175

Descriptive statistics

Standard deviation197719.57
Coefficient of variation (CV)6.3649531
Kurtosis68.261373
Mean31063.791
Median Absolute Deviation (MAD)1638.345
Skewness8.2219006
Sum2174465.3
Variance3.9093029 × 1010
MonotonicityNot monotonic
2024-03-14T19:01:19.010821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1530.26 1
 
1.4%
9836.74 1
 
1.4%
4172.79 1
 
1.4%
1629.34 1
 
1.4%
5244.56 1
 
1.4%
3058.39 1
 
1.4%
3230.0 1
 
1.4%
4024.0 1
 
1.4%
3843.42 1
 
1.4%
849.62 1
 
1.4%
Other values (60) 60
85.7%
ValueCountFrequency (%)
844.9 1
1.4%
849.62 1
1.4%
1149.16 1
1.4%
1289.56 1
1.4%
1419.17 1
1.4%
1428.4 1
1.4%
1432.55 1
1.4%
1476.7 1
1.4%
1530.26 1
1.4%
1558.68 1
1.4%
ValueCountFrequency (%)
1651865.0 1
1.4%
178570.86 1
1.4%
45884.0 1
1.4%
23025.6 1
1.4%
20505.6 1
1.4%
11584.96 1
1.4%
10707.53 1
1.4%
9836.74 1
1.4%
8163.52 1
1.4%
8053.59 1
1.4%

진료과목내용명
Text

MISSING 

Distinct64
Distinct (%)92.8%
Missing1
Missing (%)1.4%
Memory size688.0 B
2024-03-14T19:01:19.695606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length191
Median length64
Mean length45.536232
Min length8

Characters and Unicode

Total characters3142
Distinct characters67
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)88.4%

Sample

1st row가정의학과+한방내과+한방부인과+한방소아과+한방안·이비인후·피부과+한방신경정신과+한방재활의학과+사상체질과+침구과
2nd row내과+외과+가정의학과+한방내과+침구과
3rd row마취통증의학과+한방내과+한방부인과+한방소아과+한방안·이비인후·피부과+한방신경정신과+한방재활의학과+사상체질과+침구과
4th row내과+외과+정형외과+소아청소년과+응급의학과
5th row내과+신경과+정신건강의학과+외과+정형외과+신경외과+흉부외과+마취통증의학과+산부인과+소아청소년과+안과+피부과+비뇨의학과+영상의학과+병리과+진단검사의학과+재활의학과+가정의학과+핵의학과+직업환경의학과+응급의학과+한방내과+한방부인과+한방신경정신과+한방재활의학과+사상체질과+침구과+구강악안면외과+치과보철과+치과교정과+소아치과+치주과+치과보존과+구강내과
ValueCountFrequency (%)
가정의학과+한방내과+한방부인과+한방소아과+한방안·이비인후·피부과+한방신경정신과+한방재활의학과+사상체질과+침구과 4
 
5.8%
내과+외과+정형외과+피부과+가정의학과+한방내과 2
 
2.9%
내과+정형외과+마취통증의학과+영상의학과 2
 
2.9%
내과+외과+정형외과+재활의학과+가정의학과+한방내과+한방부인과+한방소아과+한방안·이비인후·피부과+한방신경정신과+한방재활의학과+사상체질과+침구과 1
 
1.4%
내과+외과+가정의학과+한방내과 1
 
1.4%
내과+신경과+외과+신경외과+재활의학과+가정의학과+한방내과+치주과+구강내과 1
 
1.4%
신경외과+마취통증의학과+영상의학과 1
 
1.4%
내과+신경과+외과+정형외과+신경외과+마취통증의학과+영상의학과 1
 
1.4%
내과+정형외과+신경외과+마취통증의학과+영상치의학과 1
 
1.4%
정신건강의학과+재활의학과+가정의학과+한방내과 1
 
1.4%
Other values (54) 54
78.3%
2024-03-14T19:01:21.026810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 581
18.5%
+ 501
15.9%
학 174
 
5.5%
의 171
 
5.4%
방 137
 
4.4%
한 134
 
4.3%
정 107
 
3.4%
외 99
 
3.2%
내 91
 
2.9%
신 83
 
2.6%
Other values (57) 1064
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2607
83.0%
Math Symbol 501
 
15.9%
Other Punctuation 34
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 581
22.3%
학 174
 
6.7%
의 171
 
6.6%
방 137
 
5.3%
한 134
 
5.1%
정 107
 
4.1%
외 99
 
3.8%
내 91
 
3.5%
신 83
 
3.2%
부 65
 
2.5%
Other values (55) 965
37.0%
Math Symbol
ValueCountFrequency (%)
+ 501
100.0%
Other Punctuation
ValueCountFrequency (%)
· 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2607
83.0%
Common 535
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 581
22.3%
학 174
 
6.7%
의 171
 
6.6%
방 137
 
5.3%
한 134
 
5.1%
정 107
 
4.1%
외 99
 
3.8%
내 91
 
3.5%
신 83
 
3.2%
부 65
 
2.5%
Other values (55) 965
37.0%
Common
ValueCountFrequency (%)
+ 501
93.6%
· 34
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2607
83.0%
ASCII 501
 
15.9%
None 34
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 581
22.3%
학 174
 
6.7%
의 171
 
6.6%
방 137
 
5.3%
한 134
 
5.1%
정 107
 
4.1%
외 99
 
3.8%
내 91
 
3.5%
신 83
 
3.2%
부 65
 
2.5%
Other values (55) 965
37.0%
ASCII
ValueCountFrequency (%)
+ 501
100.0%
None
ValueCountFrequency (%)
· 34
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size688.0 B
Minimum2024-01-18 00:00:00
Maximum2024-01-18 00:00:00
2024-03-14T19:01:21.361492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:01:21.668943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T19:00:58.620292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:51.015525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:52.470196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:53.930624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:55.437203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:57.123595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:58.863798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:51.248089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:52.711151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:54.174443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:55.884127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:57.366069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:59.103986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:51.487901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:52.941722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:54.416910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:56.123549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:57.606064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:59.361661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:51.736327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:53.191630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:54.674207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:56.379392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:57.863430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:59.611281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:51.979935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:53.434467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:54.927033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:56.624287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:58.112461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:59.867861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:52.221422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:53.679297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:55.179982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:56.872129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:00:58.360133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:01:21.899958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명인허가일자소재지전화도로명주소지번주소위도경도업태구분명의료기관종별명의료인수입원실수병상수총면적진료과목내용명
사업장명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인허가일자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.0001.0001.0000.9460.9461.0000.9841.0001.0000.993
도로명주소1.0001.0001.0001.0001.0001.0001.0000.9460.9461.0000.9841.0001.0000.993
지번주소1.0001.0001.0001.0001.0001.0001.0000.0000.0000.0000.0000.0000.0000.980
위도1.0001.0001.0001.0001.0001.0000.7780.2150.2150.0000.0000.1990.0000.793
경도1.0001.0001.0001.0001.0000.7781.0000.0650.0650.3090.2060.4230.0000.937
업태구분명1.0001.0000.9460.9460.0000.2150.0651.0001.0000.5230.7510.7880.5141.000
의료기관종별명1.0001.0000.9460.9460.0000.2150.0651.0001.0000.5230.7510.7880.5141.000
의료인수1.0001.0001.0001.0000.0000.0000.3090.5230.5231.0000.9790.9790.6631.000
입원실수1.0001.0000.9840.9840.0000.0000.2060.7510.7510.9791.0000.9730.9330.987
병상수1.0001.0001.0001.0000.0000.1990.4230.7880.7880.9790.9731.0000.9331.000
총면적1.0001.0001.0001.0000.0000.0000.0000.5140.5140.6630.9330.9331.0001.000
진료과목내용명1.0001.0000.9930.9930.9800.7930.9371.0001.0001.0000.9871.0001.0001.000
2024-03-14T19:01:22.241919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관종별명업태구분명
의료기관종별명1.0001.000
업태구분명1.0001.000
2024-03-14T19:01:22.491305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도의료인수입원실수병상수총면적업태구분명의료기관종별명
위도1.0000.0470.070-0.108-0.022-0.0520.1010.101
경도0.0471.000-0.1190.0510.088-0.0480.0000.000
의료인수0.070-0.1191.0000.6820.6750.7720.3560.356
입원실수-0.1080.0510.6821.0000.8830.7110.3590.359
병상수-0.0220.0880.6750.8831.0000.6610.3950.395
총면적-0.052-0.0480.7720.7110.6611.0000.2410.241
업태구분명0.1010.0000.3560.3590.3950.2411.0001.000
의료기관종별명0.1010.0000.3560.3590.3950.2411.0001.000

Missing values

2024-03-14T19:01:00.251971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:01:00.891024image/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

사업장명인허가일자상세영업상태명소재지전화도로명주소지번주소위도경도업태구분명의료기관종별명의료인수입원실수병상수총면적진료과목내용명데이터기준일자
0가람한방병원2014-04-30영업중063-270-8600전북특별자치도 전주시 덕진구 송천중앙로 60, 3~6층 (송천동1가)전북특별자치도 전주시 덕진구 송천동1가 270-135.852438127.120224한방병원한방병원431831530.26가정의학과+한방내과+한방부인과+한방소아과+한방안·이비인후·피부과+한방신경정신과+한방재활의학과+사상체질과+침구과2024-01-18
1나은요양병원2012-06-26영업중063-715-2300전북특별자치도 전주시 덕진구 기린대로 951 (여의동)전북특별자치도 전주시 덕진구 여의동 558-435.864427127.08065요양병원(일반요양병원)요양병원(일반요양병원)23372104311.4내과+외과+가정의학과+한방내과+침구과2024-01-18
2누가한방병원2009-11-04영업중063-252-9111전북특별자치도 전주시 덕진구 안덕원로 218 (인후동1가)전북특별자치도 전주시 덕진구 인후동1가 594-1435.835934127.150924한방병원한방병원318841476.7마취통증의학과+한방내과+한방부인과+한방소아과+한방안·이비인후·피부과+한방신경정신과+한방재활의학과+사상체질과+침구과2024-01-18
3다사랑병원2005-03-16영업중063-228-5540전북특별자치도 전주시 완산구 백제대로 74 (삼천동1가)전북특별자치도 전주시 완산구 삼천동1가 732-335.800878127.127854병원병원932942379.94내과+외과+정형외과+소아청소년과+응급의학과2024-01-18
4대자인병원2012-05-01영업중063-240-2000전북특별자치도 전주시 덕진구 견훤로 390 (우아동3가)전북특별자치도 전주시 덕진구 우아동3가 734-1735.845991127.153316종합병원종합병원17715956820505.6내과+신경과+정신건강의학과+외과+정형외과+신경외과+흉부외과+마취통증의학과+산부인과+소아청소년과+안과+피부과+비뇨의학과+영상의학과+병리과+진단검사의학과+재활의학과+가정의학과+핵의학과+직업환경의학과+응급의학과+한방내과+한방부인과+한방신경정신과+한방재활의학과+사상체질과+침구과+구강악안면외과+치과보철과+치과교정과+소아치과+치주과+치과보존과+구강내과2024-01-18
5더세움병원2022-02-25영업중063-243-9100전북특별자치도 전주시 덕진구 서가재미2길 7 (인후동1가)전북특별자치도 전주시 덕진구 인후동1가 822-435.832125127.159232병원병원1333127844.9내과+재활의학과+한방내과+한방재활의학과+사상체질과+침구과2024-01-18
6더숲요양병원2016-06-02영업중063-230-2000전북특별자치도 전주시 완산구 흑석2길 22 (서서학동)전북특별자치도 전주시 완산구 서서학동 1002-335.795996127.15006요양병원(일반요양병원)요양병원(일반요양병원)14682896930.96내과+신경과+외과+정형외과+신경외과+이비인후과+피부과+비뇨의학과+재활의학과+가정의학과+한방내과2024-01-18
7덕진한방병원2014-09-26영업중063-225-1075전북특별자치도 전주시 덕진구 솔내로 131 (송천동1가)전북특별자치도 전주시 덕진구 송천동1가 11635.861695127.126326한방병원한방병원518611419.17가정의학과+한방내과+한방부인과+한방소아과+한방안·이비인후·피부과+한방신경정신과+한방재활의학과+사상체질과+침구과2024-01-18
8동의한방병원2015-06-23영업중063-274-8575전북특별자치도 전주시 완산구 백제대로 277, 4,5층 (중화산동2가)전북특별자치도 전주시 완산구 중화산동2가 595-935.818073127.122501한방병원한방병원415491289.56가정의학과+한방내과+한방부인과+한방소아과+한방안·이비인후·피부과+한방신경정신과+한방재활의학과+사상체질과+침구과2024-01-18
9드림솔병원2010-08-26영업중063-250-8000전북특별자치도 전주시 완산구 천잠로 507 (효자동3가)전북특별자치도 전주시 완산구 효자동3가 978-935.829794127.094621병원병원29341785042.67내과+신경과+정형외과+재활의학과+침구과2024-01-18
사업장명인허가일자상세영업상태명소재지전화도로명주소지번주소위도경도업태구분명의료기관종별명의료인수입원실수병상수총면적진료과목내용명데이터기준일자
60한마음요양병원2002-12-01영업중063-220-1111전북특별자치도 전주시 완산구 백제대로 234 (중화산동2가)전북특별자치도 전주시 완산구 중화산동2가 648-935.813919127.123547요양병원(일반요양병원)요양병원(일반요양병원)14241192174.42외과+정형외과+가정의학과+한방내과2024-01-18
61한빛의료소비자생활협동조합 마음편한요양병원2012-03-26영업중063-714-2500전북특별자치도 전주시 덕진구 쪽구름로 87-1 (반월동)전북특별자치도 전주시 덕진구 반월동 251-135.872576127.075227요양병원(일반요양병원)요양병원(일반요양병원)26562793195.46외과+정형외과+신경외과+가정의학과+한방내과+한방부인과+한방소아과+한방안·이비인후·피부과+한방신경정신과+한방재활의학과+침구과2024-01-18
62한사랑요양병원2007-10-16영업중063-231-4800전북특별자치도 전주시 완산구 용머리로 251 (서완산동2가)전북특별자치도 전주시 완산구 서완산동2가 80-12635.809463127.136932요양병원(일반요양병원)요양병원(일반요양병원)12311283175.81내과+소아청소년과+이비인후과+피부과+비뇨의학과+가정의학과+한방내과2024-01-18
63한솔요양병원2012-09-14영업중063-228-1122전북특별자치도 전주시 완산구 장승배기로 46 (삼천동1가)전북특별자치도 전주시 완산구 삼천동1가 306-535.792044127.117843요양병원(일반요양병원)요양병원(일반요양병원)29563115554.26내과+정형외과+재활의학과+가정의학과+한방내과+한방재활의학과+침구과2024-01-18
64한양병원2002-03-22영업중063-220-5000전북특별자치도 전주시 완산구 장승배기로 204 (평화동1가)전북특별자치도 전주시 완산구 평화동1가 711-135.796149127.135159병원병원12381233646.0내과+신경과+외과+정형외과+신경외과+마취통증의학과+소아청소년과+이비인후과+피부과+비뇨의학과+영상의학과+진단검사의학과+재활의학과+가정의학과2024-01-18
65해맑은요양병원2017-04-12영업중063-231-1100전북특별자치도 전주시 완산구 팔달로 202-15 (경원동3가)전북특별자치도 전주시 완산구 경원동3가 38-335.820764127.146882요양병원(일반요양병원)요양병원(일반요양병원)13371323618.93내과+방사선종양학과+한방내과2024-01-18
66행복한요양병원2016-07-15영업중063-240-7000전북특별자치도 전주시 덕진구 백제대로 700 (덕진동1가)전북특별자치도 전주시 덕진구 인후동2가 1529-835.844096127.145958요양병원(일반요양병원)요양병원(일반요양병원)12391693531.3내과+외과+가정의학과+한방내과2024-01-18
67효사랑가족요양병원2007-06-11영업중063-711-1111전북특별자치도 전주시 완산구 용머리로 77 (효자동1가)전북특별자치도 전주시 완산구 효자동1가 29235.806705127.118834요양병원(일반요양병원)요양병원(일반요양병원)5516479323025.6내과+외과+정형외과+재활의학과+가정의학과+한방내과+한방부인과+한방소아과+한방안·이비인후·피부과+한방신경정신과+한방재활의학과+사상체질과+침구과2024-01-18
68효사랑전주요양병원2006-05-26영업중063-278-8288전북특별자치도 전주시 완산구 팔달로 272 (서노송동)전북특별자치도 전주시 완산구 서노송동 649-535.826439127.144105요양병원(일반요양병원)요양병원(일반요양병원)41533147172.0내과+재활의학과+가정의학과+한방내과+한방부인과+한방소아과+한방안·이비인후·피부과+한방신경정신과+한방재활의학과+사상체질과+침구과2024-01-18
69효성의료재단 새전주요양병원2013-09-04영업중063-213-8275전북특별자치도 전주시 덕진구 여암1길 37 (여의동)전북특별자치도 전주시 덕진구 여의동 626-235.870011127.073178요양병원(일반요양병원)요양병원(일반요양병원)21321884127.58외과+가정의학과+한방내과+침구과2024-01-18