Overview

Dataset statistics

Number of variables41
Number of observations48
Missing cells711
Missing cells (%)36.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.6 KiB
Average record size in memory354.8 B

Variable types

Categorical13
Text8
DateTime4
Unsupported8
Numeric8

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),의료기관종별명,의료인수,입원실수,병상수,총면적,진료과목내용,진료과목내용명,지정취소일자,완화의료지정형태,완화의료담당부서명,구급차특수,구급차일반,총인원,구조사수,허가병상수,최초지정일자
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-16180/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (85.4%)Imbalance
휴업종료일자 is highly imbalanced (85.4%)Imbalance
인허가취소일자 has 48 (100.0%) missing valuesMissing
폐업일자 has 33 (68.8%) missing valuesMissing
재개업일자 has 48 (100.0%) missing valuesMissing
전화번호 has 5 (10.4%) missing valuesMissing
소재지면적 has 24 (50.0%) missing valuesMissing
소재지우편번호 has 27 (56.2%) missing valuesMissing
지번주소 has 7 (14.6%) missing valuesMissing
도로명주소 has 6 (12.5%) missing valuesMissing
도로명우편번호 has 11 (22.9%) missing valuesMissing
좌표정보(X) has 5 (10.4%) missing valuesMissing
좌표정보(Y) has 5 (10.4%) missing valuesMissing
의료인수 has 34 (70.8%) missing valuesMissing
입원실수 has 34 (70.8%) missing valuesMissing
병상수 has 34 (70.8%) missing valuesMissing
총면적 has 34 (70.8%) missing valuesMissing
진료과목내용 has 34 (70.8%) missing valuesMissing
진료과목내용명 has 34 (70.8%) missing valuesMissing
지정취소일자 has 48 (100.0%) missing valuesMissing
완화의료지정형태 has 48 (100.0%) missing valuesMissing
완화의료담당부서명 has 48 (100.0%) missing valuesMissing
총인원 has 48 (100.0%) missing valuesMissing
구조사수 has 48 (100.0%) missing valuesMissing
최초지정일자 has 48 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료지정형태 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료담당부서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구조사수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
입원실수 has 8 (16.7%) zerosZeros
병상수 has 7 (14.6%) zerosZeros

Reproduction

Analysis started2024-04-29 18:55:09.553762
Analysis finished2024-04-29 18:55:10.339129
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
3210000
48 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 48
100.0%

Length

2024-04-30T03:55:10.397752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:10.469046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 48
100.0%

관리번호
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-04-30T03:55:10.610777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1200
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st rowPHMA219783210034021200001
2nd rowPHMA219783210034021200002
3rd rowPHMA219803210034021200001
4th rowPHMA219893210034021200001
5th rowPHMA219963210034021200001
ValueCountFrequency (%)
phma219783210034021200001 1
 
2.1%
phma219783210034021200002 1
 
2.1%
phma220153210034021200002 1
 
2.1%
phma220093210034021200006 1
 
2.1%
phma220103210034021200001 1
 
2.1%
phma220103210034021200002 1
 
2.1%
phma220113210034021200001 1
 
2.1%
phma220123210034021200001 1
 
2.1%
phma220133210034021200001 1
 
2.1%
phma220143210034021200001 1
 
2.1%
Other values (38) 38
79.2%
2024-04-30T03:55:10.899495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 401
33.4%
2 254
21.2%
1 151
 
12.6%
3 105
 
8.8%
4 54
 
4.5%
P 48
 
4.0%
H 48
 
4.0%
M 48
 
4.0%
A 48
 
4.0%
9 19
 
1.6%
Other values (4) 24
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1008
84.0%
Uppercase Letter 192
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 401
39.8%
2 254
25.2%
1 151
 
15.0%
3 105
 
10.4%
4 54
 
5.4%
9 19
 
1.9%
8 9
 
0.9%
5 6
 
0.6%
6 5
 
0.5%
7 4
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 48
25.0%
H 48
25.0%
M 48
25.0%
A 48
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1008
84.0%
Latin 192
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 401
39.8%
2 254
25.2%
1 151
 
15.0%
3 105
 
10.4%
4 54
 
5.4%
9 19
 
1.9%
8 9
 
0.9%
5 6
 
0.6%
6 5
 
0.5%
7 4
 
0.4%
Latin
ValueCountFrequency (%)
P 48
25.0%
H 48
25.0%
M 48
25.0%
A 48
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 401
33.4%
2 254
21.2%
1 151
 
12.6%
3 105
 
8.8%
4 54
 
4.5%
P 48
 
4.0%
H 48
 
4.0%
M 48
 
4.0%
A 48
 
4.0%
9 19
 
1.6%
Other values (4) 24
 
2.0%

인허가일자
Date

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum1978-05-23 00:00:00
Maximum2023-06-27 00:00:00
2024-04-30T03:55:11.014025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:55:11.123321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
1
31 
3
15 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
1 31
64.6%
3 15
31.2%
5 2
 
4.2%

Length

2024-04-30T03:55:11.233425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:11.323329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 31
64.6%
3 15
31.2%
5 2
 
4.2%

영업상태명
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
영업/정상
31 
폐업
15 
제외/삭제/전출
 
2

Length

Max length8
Median length5
Mean length4.1875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row폐업
3rd row영업/정상
4th row영업/정상
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 31
64.6%
폐업 15
31.2%
제외/삭제/전출 2
 
4.2%

Length

2024-04-30T03:55:11.428458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:11.522193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 31
64.6%
폐업 15
31.2%
제외/삭제/전출 2
 
4.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
13
31 
3
15 
15
 
2

Length

Max length2
Median length2
Mean length1.6875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row3
3rd row13
4th row13
5th row3

Common Values

ValueCountFrequency (%)
13 31
64.6%
3 15
31.2%
15 2
 
4.2%

Length

2024-04-30T03:55:11.608367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:11.706620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 31
64.6%
3 15
31.2%
15 2
 
4.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
영업중
31 
폐업
15 
전출
 
2

Length

Max length3
Median length3
Mean length2.6458333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 31
64.6%
폐업 15
31.2%
전출 2
 
4.2%

Length

2024-04-30T03:55:11.798763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:11.886858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 31
64.6%
폐업 15
31.2%
전출 2
 
4.2%

폐업일자
Date

MISSING 

Distinct14
Distinct (%)93.3%
Missing33
Missing (%)68.8%
Memory size516.0 B
Minimum2008-06-30 00:00:00
Maximum2020-12-01 00:00:00
2024-04-30T03:55:11.972152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:55:12.079322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
47 
20140428
 
1

Length

Max length8
Median length4
Mean length4.0833333
Min length4

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
97.9%
20140428 1
 
2.1%

Length

2024-04-30T03:55:12.190599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:12.271534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
97.9%
20140428 1
 
2.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
47 
20140602
 
1

Length

Max length8
Median length4
Mean length4.0833333
Min length4

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
97.9%
20140602 1
 
2.1%

Length

2024-04-30T03:55:12.360345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:12.456652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
97.9%
20140602 1
 
2.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

전화번호
Text

MISSING 

Distinct43
Distinct (%)100.0%
Missing5
Missing (%)10.4%
Memory size516.0 B
2024-04-30T03:55:12.639638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.9767442
Min length8

Characters and Unicode

Total characters429
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

Unique43 ?
Unique (%)100.0%

Sample

1st row02-570-8000
2nd row0215881511
3rd row02-536-5599
4th row536-8200
5th row02-586-5557
ValueCountFrequency (%)
02-570-8000 1
 
2.3%
02-508-2279 1
 
2.3%
028320151 1
 
2.3%
02-3475-7023 1
 
2.3%
3476-2879 1
 
2.3%
0215880831 1
 
2.3%
0234743653 1
 
2.3%
02-593-0052 1
 
2.3%
025371700 1
 
2.3%
1588-3094 1
 
2.3%
Other values (33) 33
76.7%
2024-04-30T03:55:13.004385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 68
15.9%
2 66
15.4%
- 54
12.6%
5 54
12.6%
8 50
11.7%
7 35
8.2%
1 28
6.5%
3 27
 
6.3%
9 18
 
4.2%
4 16
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 375
87.4%
Dash Punctuation 54
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 68
18.1%
2 66
17.6%
5 54
14.4%
8 50
13.3%
7 35
9.3%
1 28
7.5%
3 27
 
7.2%
9 18
 
4.8%
4 16
 
4.3%
6 13
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 429
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 68
15.9%
2 66
15.4%
- 54
12.6%
5 54
12.6%
8 50
11.7%
7 35
8.2%
1 28
6.5%
3 27
 
6.3%
9 18
 
4.2%
4 16
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 429
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 68
15.9%
2 66
15.4%
- 54
12.6%
5 54
12.6%
8 50
11.7%
7 35
8.2%
1 28
6.5%
3 27
 
6.3%
9 18
 
4.2%
4 16
 
3.7%

소재지면적
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)100.0%
Missing24
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean10014.483
Minimum380.53
Maximum138964.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-30T03:55:13.113379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum380.53
5-th percentile578.583
Q11488.575
median2903.655
Q36714.49
95-th percentile21756.951
Maximum138964.24
Range138583.71
Interquartile range (IQR)5225.915

Descriptive statistics

Standard deviation27895.188
Coefficient of variation (CV)2.7854847
Kurtosis22.358929
Mean10014.483
Median Absolute Deviation (MAD)1909.805
Skewness4.6723164
Sum240347.59
Variance7.7814154 × 108
MonotonicityNot monotonic
2024-04-30T03:55:13.213789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
7495.73 1
 
2.1%
7195.75 1
 
2.1%
2474.69 1
 
2.1%
978.5 1
 
2.1%
535.71 1
 
2.1%
821.53 1
 
2.1%
6868.12 1
 
2.1%
4661.03 1
 
2.1%
1009.2 1
 
2.1%
2480.74 1
 
2.1%
Other values (14) 14
29.2%
(Missing) 24
50.0%
ValueCountFrequency (%)
380.53 1
2.1%
535.71 1
2.1%
821.53 1
2.1%
978.5 1
2.1%
1009.2 1
2.1%
1170.89 1
2.1%
1594.47 1
2.1%
1995.29 1
2.1%
2313.2 1
2.1%
2474.69 1
2.1%
ValueCountFrequency (%)
138964.24 1
2.1%
23954.43 1
2.1%
9304.57 1
2.1%
7495.73 1
2.1%
7195.75 1
2.1%
6868.12 1
2.1%
6663.28 1
2.1%
5862.84 1
2.1%
4661.03 1
2.1%
4622.38 1
2.1%

소재지우편번호
Text

MISSING 

Distinct17
Distinct (%)81.0%
Missing27
Missing (%)56.2%
Memory size516.0 B
2024-04-30T03:55:13.364995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.3333333
Min length6

Characters and Unicode

Total characters133
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

Unique14 ?
Unique (%)66.7%

Sample

1st row137-835
2nd row137069
3rd row137-841
4th row137-820
5th row137856
ValueCountFrequency (%)
137820 3
14.3%
137855 2
 
9.5%
137856 2
 
9.5%
137-835 1
 
4.8%
137069 1
 
4.8%
137-841 1
 
4.8%
137-820 1
 
4.8%
137-953 1
 
4.8%
137044 1
 
4.8%
137888 1
 
4.8%
Other values (7) 7
33.3%
2024-04-30T03:55:13.625559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 25
18.8%
1 23
17.3%
7 22
16.5%
8 21
15.8%
0 9
 
6.8%
5 9
 
6.8%
- 7
 
5.3%
2 5
 
3.8%
9 5
 
3.8%
6 4
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 126
94.7%
Dash Punctuation 7
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 25
19.8%
1 23
18.3%
7 22
17.5%
8 21
16.7%
0 9
 
7.1%
5 9
 
7.1%
2 5
 
4.0%
9 5
 
4.0%
6 4
 
3.2%
4 3
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 133
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 25
18.8%
1 23
17.3%
7 22
16.5%
8 21
15.8%
0 9
 
6.8%
5 9
 
6.8%
- 7
 
5.3%
2 5
 
3.8%
9 5
 
3.8%
6 4
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 133
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 25
18.8%
1 23
17.3%
7 22
16.5%
8 21
15.8%
0 9
 
6.8%
5 9
 
6.8%
- 7
 
5.3%
2 5
 
3.8%
9 5
 
3.8%
6 4
 
3.0%

지번주소
Text

MISSING 

Distinct39
Distinct (%)95.1%
Missing7
Missing (%)14.6%
Memory size516.0 B
2024-04-30T03:55:13.839493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length35
Mean length27.804878
Min length18

Characters and Unicode

Total characters1140
Distinct characters81
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

Unique37 ?
Unique (%)90.2%

Sample

1st row서울특별시 서초구 방배4동 852-14
2nd row서울특별시 서초구 방배동 837번지 13호
3rd row서울특별시 서초구 방배본동 2240번지
4th row서울특별시 서초구 방배1동 896번지 1호
5th row서울특별시 서초구 방배동 481번지 10호
ValueCountFrequency (%)
서울특별시 41
18.2%
서초구 41
18.2%
서초동 15
 
6.7%
방배동 8
 
3.6%
5호 4
 
1.8%
3호 3
 
1.3%
서초4동 3
 
1.3%
반포동 3
 
1.3%
8호 3
 
1.3%
479번지 3
 
1.3%
Other values (88) 101
44.9%
2024-04-30T03:55:14.159768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
185
 
16.2%
서 104
 
9.1%
초 60
 
5.3%
1 47
 
4.1%
동 44
 
3.9%
울 42
 
3.7%
시 41
 
3.6%
특 41
 
3.6%
구 41
 
3.6%
지 41
 
3.6%
Other values (71) 494
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 661
58.0%
Decimal Number 251
 
22.0%
Space Separator 185
 
16.2%
Dash Punctuation 16
 
1.4%
Other Punctuation 9
 
0.8%
Math Symbol 8
 
0.7%
Open Punctuation 3
 
0.3%
Close Punctuation 3
 
0.3%
Uppercase Letter 2
 
0.2%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 104
15.7%
초 60
 
9.1%
동 44
 
6.7%
울 42
 
6.4%
시 41
 
6.2%
특 41
 
6.2%
구 41
 
6.2%
지 41
 
6.2%
별 41
 
6.2%
번 28
 
4.2%
Other values (50) 178
26.9%
Decimal Number
ValueCountFrequency (%)
1 47
18.7%
4 36
14.3%
3 34
13.5%
2 31
12.4%
6 21
8.4%
0 20
8.0%
8 19
7.6%
5 19
7.6%
7 14
 
5.6%
9 10
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 6
66.7%
/ 3
33.3%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
L 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
m 1
50.0%
Space Separator
ValueCountFrequency (%)
185
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 661
58.0%
Common 475
41.7%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 104
15.7%
초 60
 
9.1%
동 44
 
6.7%
울 42
 
6.4%
시 41
 
6.2%
특 41
 
6.2%
구 41
 
6.2%
지 41
 
6.2%
별 41
 
6.2%
번 28
 
4.2%
Other values (50) 178
26.9%
Common
ValueCountFrequency (%)
185
38.9%
1 47
 
9.9%
4 36
 
7.6%
3 34
 
7.2%
2 31
 
6.5%
6 21
 
4.4%
0 20
 
4.2%
8 19
 
4.0%
5 19
 
4.0%
- 16
 
3.4%
Other values (7) 47
 
9.9%
Latin
ValueCountFrequency (%)
G 1
25.0%
L 1
25.0%
c 1
25.0%
m 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 661
58.0%
ASCII 479
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
185
38.6%
1 47
 
9.8%
4 36
 
7.5%
3 34
 
7.1%
2 31
 
6.5%
6 21
 
4.4%
0 20
 
4.2%
8 19
 
4.0%
5 19
 
4.0%
- 16
 
3.3%
Other values (11) 51
 
10.6%
Hangul
ValueCountFrequency (%)
서 104
15.7%
초 60
 
9.1%
동 44
 
6.7%
울 42
 
6.4%
시 41
 
6.2%
특 41
 
6.2%
구 41
 
6.2%
지 41
 
6.2%
별 41
 
6.2%
번 28
 
4.2%
Other values (50) 178
26.9%

도로명주소
Text

MISSING 

Distinct42
Distinct (%)100.0%
Missing6
Missing (%)12.5%
Memory size516.0 B
2024-04-30T03:55:14.423065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length38
Mean length32.02381
Min length21

Characters and Unicode

Total characters1345
Distinct characters117
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

Unique42 ?
Unique (%)100.0%

Sample

1st row서울특별시 서초구 헌릉로 260 (내곡동)
2nd row서울특별시 서초구 반포대로 222 (반포동)
3rd row서울특별시 서초구 방배로 186 (방배동)
4th row서울특별시 서초구 동광로 5 (방배동)
5th row서울특별시 서초구 서초대로 116 (방배동)
ValueCountFrequency (%)
서울특별시 42
 
16.3%
서초구 42
 
16.3%
서초동 19
 
7.4%
방배동 11
 
4.3%
강남대로 10
 
3.9%
서초중앙로 8
 
3.1%
방배로 5
 
1.9%
반포동 4
 
1.6%
양재동 3
 
1.2%
서초대로 2
 
0.8%
Other values (102) 111
43.2%
2024-04-30T03:55:14.785465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
215
 
16.0%
서 120
 
8.9%
초 74
 
5.5%
, 49
 
3.6%
동 45
 
3.3%
울 43
 
3.2%
로 43
 
3.2%
) 43
 
3.2%
( 43
 
3.2%
시 42
 
3.1%
Other values (107) 628
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 801
59.6%
Space Separator 215
 
16.0%
Decimal Number 180
 
13.4%
Other Punctuation 49
 
3.6%
Close Punctuation 43
 
3.2%
Open Punctuation 43
 
3.2%
Math Symbol 8
 
0.6%
Dash Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 120
15.0%
초 74
 
9.2%
동 45
 
5.6%
울 43
 
5.4%
로 43
 
5.4%
시 42
 
5.2%
별 42
 
5.2%
특 42
 
5.2%
구 42
 
5.2%
층 32
 
4.0%
Other values (87) 276
34.5%
Decimal Number
ValueCountFrequency (%)
1 34
18.9%
2 34
18.9%
3 25
13.9%
4 23
12.8%
5 16
8.9%
9 13
 
7.2%
6 13
 
7.2%
0 12
 
6.7%
7 6
 
3.3%
8 4
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
G 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
m 1
50.0%
Space Separator
ValueCountFrequency (%)
215
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 801
59.6%
Common 540
40.1%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 120
15.0%
초 74
 
9.2%
동 45
 
5.6%
울 43
 
5.4%
로 43
 
5.4%
시 42
 
5.2%
별 42
 
5.2%
특 42
 
5.2%
구 42
 
5.2%
층 32
 
4.0%
Other values (87) 276
34.5%
Common
ValueCountFrequency (%)
215
39.8%
, 49
 
9.1%
) 43
 
8.0%
( 43
 
8.0%
1 34
 
6.3%
2 34
 
6.3%
3 25
 
4.6%
4 23
 
4.3%
5 16
 
3.0%
9 13
 
2.4%
Other values (6) 45
 
8.3%
Latin
ValueCountFrequency (%)
L 1
25.0%
G 1
25.0%
c 1
25.0%
m 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 801
59.6%
ASCII 544
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
215
39.5%
, 49
 
9.0%
) 43
 
7.9%
( 43
 
7.9%
1 34
 
6.2%
2 34
 
6.2%
3 25
 
4.6%
4 23
 
4.2%
5 16
 
2.9%
9 13
 
2.4%
Other values (10) 49
 
9.0%
Hangul
ValueCountFrequency (%)
서 120
15.0%
초 74
 
9.2%
동 45
 
5.6%
울 43
 
5.4%
로 43
 
5.4%
시 42
 
5.2%
별 42
 
5.2%
특 42
 
5.2%
구 42
 
5.2%
층 32
 
4.0%
Other values (87) 276
34.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)86.5%
Missing11
Missing (%)22.9%
Infinite0
Infinite (%)0.0%
Mean10183.459
Minimum6531
Maximum137855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-30T03:55:14.900192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6531
5-th percentile6542.4
Q16593
median6634
Q36672
95-th percentile6774.6
Maximum137855
Range131324
Interquartile range (IQR)79

Descriptive statistics

Standard deviation21572.196
Coefficient of variation (CV)2.1183564
Kurtosis36.999296
Mean10183.459
Median Absolute Deviation (MAD)41
Skewness6.082678
Sum376788
Variance4.6535965 × 108
MonotonicityNot monotonic
2024-04-30T03:55:15.023222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
6654 2
 
4.2%
6643 2
 
4.2%
6612 2
 
4.2%
6634 2
 
4.2%
6628 2
 
4.2%
6725 1
 
2.1%
6632 1
 
2.1%
6561 1
 
2.1%
137855 1
 
2.1%
6693 1
 
2.1%
Other values (22) 22
45.8%
(Missing) 11
22.9%
ValueCountFrequency (%)
6531 1
2.1%
6536 1
2.1%
6544 1
2.1%
6555 1
2.1%
6557 1
2.1%
6561 1
2.1%
6572 1
2.1%
6586 1
2.1%
6591 1
2.1%
6593 1
2.1%
ValueCountFrequency (%)
137855 1
2.1%
6801 1
2.1%
6768 1
2.1%
6744 1
2.1%
6725 1
2.1%
6709 1
2.1%
6702 1
2.1%
6699 1
2.1%
6693 1
2.1%
6672 1
2.1%

사업장명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-04-30T03:55:15.186117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length8.2708333
Min length4

Characters and Unicode

Total characters397
Distinct characters125
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row서울특별시어린이병원
2nd row가야병원
3rd row학교법인가톨릭학원가톨릭대학교서울성모병원
4th row재단법인 동국한방병원
5th row강남의림한방병원
ValueCountFrequency (%)
의료법인 4
 
6.8%
서울특별시어린이병원 1
 
1.7%
세바른병원 1
 
1.7%
함춘요양병원 1
 
1.7%
염창환병원 1
 
1.7%
고도일병원 1
 
1.7%
강남요양병원 1
 
1.7%
명경의료재단 1
 
1.7%
꽃마을한방병원 1
 
1.7%
원진바른얼굴치과병원 1
 
1.7%
Other values (46) 46
78.0%
2024-04-30T03:55:15.478837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 53
 
13.4%
병 48
 
12.1%
과 15
 
3.8%
치 13
 
3.3%
의 11
 
2.8%
11
 
2.8%
서 10
 
2.5%
한 9
 
2.3%
료 9
 
2.3%
이 8
 
2.0%
Other values (115) 210
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 377
95.0%
Space Separator 11
 
2.8%
Decimal Number 5
 
1.3%
Lowercase Letter 2
 
0.5%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 53
 
14.1%
병 48
 
12.7%
과 15
 
4.0%
치 13
 
3.4%
의 11
 
2.9%
서 10
 
2.7%
한 9
 
2.4%
료 9
 
2.4%
이 8
 
2.1%
방 8
 
2.1%
Other values (105) 193
51.2%
Decimal Number
ValueCountFrequency (%)
5 1
20.0%
3 1
20.0%
6 1
20.0%
2 1
20.0%
1 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 377
95.0%
Common 18
 
4.5%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 53
 
14.1%
병 48
 
12.7%
과 15
 
4.0%
치 13
 
3.4%
의 11
 
2.9%
서 10
 
2.7%
한 9
 
2.4%
료 9
 
2.4%
이 8
 
2.1%
방 8
 
2.1%
Other values (105) 193
51.2%
Common
ValueCountFrequency (%)
11
61.1%
( 1
 
5.6%
5 1
 
5.6%
3 1
 
5.6%
6 1
 
5.6%
) 1
 
5.6%
2 1
 
5.6%
1 1
 
5.6%
Latin
ValueCountFrequency (%)
m 1
50.0%
c 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 377
95.0%
ASCII 20
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 53
 
14.1%
병 48
 
12.7%
과 15
 
4.0%
치 13
 
3.4%
의 11
 
2.9%
서 10
 
2.7%
한 9
 
2.4%
료 9
 
2.4%
이 8
 
2.1%
방 8
 
2.1%
Other values (105) 193
51.2%
ASCII
ValueCountFrequency (%)
11
55.0%
m 1
 
5.0%
( 1
 
5.0%
5 1
 
5.0%
c 1
 
5.0%
3 1
 
5.0%
6 1
 
5.0%
) 1
 
5.0%
2 1
 
5.0%
1 1
 
5.0%

최종수정일자
Date

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2008-11-28 13:53:11
Maximum2024-04-22 17:39:23
2024-04-30T03:55:15.601593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:55:15.886534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
U
34 
I
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowI
3rd rowU
4th rowU
5th rowI

Common Values

ValueCountFrequency (%)
U 34
70.8%
I 14
29.2%

Length

2024-04-30T03:55:15.998524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:16.081840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 34
70.8%
i 14
29.2%

데이터갱신일자
Date

Distinct13
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:08:00
2024-04-30T03:55:16.152633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:55:16.249706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Categorical

Distinct5
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size516.0 B
병원
19 
치과병원
13 
한방병원
8 
요양병원(일반요양병원)
6 
종합병원
2 

Length

Max length12
Median length4
Mean length4.2083333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row병원
2nd row병원
3rd row종합병원
4th row한방병원
5th row한방병원

Common Values

ValueCountFrequency (%)
병원 19
39.6%
치과병원 13
27.1%
한방병원 8
16.7%
요양병원(일반요양병원) 6
 
12.5%
종합병원 2
 
4.2%

Length

2024-04-30T03:55:16.363925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:16.458258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 19
39.6%
치과병원 13
27.1%
한방병원 8
16.7%
요양병원(일반요양병원 6
 
12.5%
종합병원 2
 
4.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)93.0%
Missing5
Missing (%)10.4%
Infinite0
Infinite (%)0.0%
Mean201048.9
Minimum198443.79
Maximum206059.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-30T03:55:16.565719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198443.79
5-th percentile198530.37
Q1199358.43
median201287.59
Q3202180.95
95-th percentile203321.96
Maximum206059.86
Range7616.0695
Interquartile range (IQR)2822.5171

Descriptive statistics

Standard deviation1719.033
Coefficient of variation (CV)0.0085503228
Kurtosis0.30880573
Mean201048.9
Median Absolute Deviation (MAD)1004.8466
Skewness0.35744902
Sum8645102.6
Variance2955074.4
MonotonicityNot monotonic
2024-04-30T03:55:16.695755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
198743.866850026 3
 
6.2%
202623.297219041 2
 
4.2%
201728.60256238 1
 
2.1%
202173.072903522 1
 
2.1%
203350.547009323 1
 
2.1%
201178.653260998 1
 
2.1%
201353.74049169 1
 
2.1%
198443.787138915 1
 
2.1%
201287.589628621 1
 
2.1%
201136.231801352 1
 
2.1%
Other values (30) 30
62.5%
(Missing) 5
 
10.4%
ValueCountFrequency (%)
198443.787138915 1
 
2.1%
198467.280077121 1
 
2.1%
198506.646654889 1
 
2.1%
198743.866850026 3
6.2%
198865.609772728 1
 
2.1%
199040.3746688 1
 
2.1%
199245.439853629 1
 
2.1%
199257.012040081 1
 
2.1%
199356.275577675 1
 
2.1%
199360.582881543 1
 
2.1%
ValueCountFrequency (%)
206059.856619754 1
2.1%
204359.793081205 1
2.1%
203350.547009323 1
2.1%
203064.660745241 1
2.1%
202623.297219041 2
4.2%
202436.50368838 1
2.1%
202305.702281425 1
2.1%
202292.436257201 1
2.1%
202244.58332104 1
2.1%
202188.819669176 1
2.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)93.0%
Missing5
Missing (%)10.4%
Infinite0
Infinite (%)0.0%
Mean442920.23
Minimum439252.15
Maximum445429.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-30T03:55:16.826315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439252.15
5-th percentile441112.68
Q1442307.42
median443009.3
Q3443843.95
95-th percentile444931.17
Maximum445429.57
Range6177.4216
Interquartile range (IQR)1536.529

Descriptive statistics

Standard deviation1317.1096
Coefficient of variation (CV)0.0029736948
Kurtosis0.63762763
Mean442920.23
Median Absolute Deviation (MAD)720.61572
Skewness-0.57924291
Sum19045570
Variance1734777.7
MonotonicityNot monotonic
2024-04-30T03:55:16.948809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
441538.707106809 3
 
6.2%
443154.964346798 2
 
4.2%
442694.699054996 1
 
2.1%
439733.691014751 1
 
2.1%
441971.940635973 1
 
2.1%
443421.176493515 1
 
2.1%
442618.447987766 1
 
2.1%
443544.463726261 1
 
2.1%
442640.122666786 1
 
2.1%
443651.537438838 1
 
2.1%
Other values (30) 30
62.5%
(Missing) 5
 
10.4%
ValueCountFrequency (%)
439252.151463844 1
 
2.1%
439733.691014751 1
 
2.1%
441088.951603345 1
 
2.1%
441326.193173286 1
 
2.1%
441491.109507535 1
 
2.1%
441538.707106809 3
6.2%
441616.112143735 1
 
2.1%
441971.940635973 1
 
2.1%
442288.685384896 1
 
2.1%
442326.157537912 1
 
2.1%
ValueCountFrequency (%)
445429.573099822 1
2.1%
444989.874340522 1
2.1%
444978.789098921 1
2.1%
444502.636699224 1
2.1%
444388.655 1
2.1%
444329.635047436 1
2.1%
444207.694481581 1
2.1%
444183.247963925 1
2.1%
444131.025461031 1
2.1%
444027.04352232 1
2.1%

의료기관종별명
Categorical

Distinct5
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
34 
치과병원
7 
병원
4 
요양병원(일반요양병원)
 
2
한방병원
 
1

Length

Max length12
Median length4
Mean length4.1666667
Min length2

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
70.8%
치과병원 7
 
14.6%
병원 4
 
8.3%
요양병원(일반요양병원) 2
 
4.2%
한방병원 1
 
2.1%

Length

2024-04-30T03:55:17.064606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:17.154994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
70.8%
치과병원 7
 
14.6%
병원 4
 
8.3%
요양병원(일반요양병원 2
 
4.2%
한방병원 1
 
2.1%

의료인수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)57.1%
Missing34
Missing (%)70.8%
Infinite0
Infinite (%)0.0%
Mean6.0714286
Minimum2
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-30T03:55:17.237991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.65
Q13
median5
Q37
95-th percentile12.7
Maximum14
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.7919811
Coefficient of variation (CV)0.6245616
Kurtosis-0.025528363
Mean6.0714286
Median Absolute Deviation (MAD)2
Skewness1.0318821
Sum85
Variance14.379121
MonotonicityNot monotonic
2024-04-30T03:55:17.340154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 4
 
8.3%
6 2
 
4.2%
4 2
 
4.2%
7 2
 
4.2%
14 1
 
2.1%
2 1
 
2.1%
12 1
 
2.1%
11 1
 
2.1%
(Missing) 34
70.8%
ValueCountFrequency (%)
2 1
 
2.1%
3 4
8.3%
4 2
4.2%
6 2
4.2%
7 2
4.2%
11 1
 
2.1%
12 1
 
2.1%
14 1
 
2.1%
ValueCountFrequency (%)
14 1
 
2.1%
12 1
 
2.1%
11 1
 
2.1%
7 2
4.2%
6 2
4.2%
4 2
4.2%
3 4
8.3%
2 1
 
2.1%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)42.9%
Missing34
Missing (%)70.8%
Infinite0
Infinite (%)0.0%
Mean10.214286
Minimum0
Maximum53
Zeros8
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-30T03:55:17.432773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314.75
95-th percentile38.05
Maximum53
Range53
Interquartile range (IQR)14.75

Descriptive statistics

Standard deviation15.576998
Coefficient of variation (CV)1.5250208
Kurtosis3.6306516
Mean10.214286
Median Absolute Deviation (MAD)0
Skewness1.8538069
Sum143
Variance242.64286
MonotonicityNot monotonic
2024-04-30T03:55:17.517446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 8
 
16.7%
14 2
 
4.2%
30 1
 
2.1%
15 1
 
2.1%
53 1
 
2.1%
17 1
 
2.1%
(Missing) 34
70.8%
ValueCountFrequency (%)
0 8
16.7%
14 2
 
4.2%
15 1
 
2.1%
17 1
 
2.1%
30 1
 
2.1%
53 1
 
2.1%
ValueCountFrequency (%)
53 1
 
2.1%
30 1
 
2.1%
17 1
 
2.1%
15 1
 
2.1%
14 2
 
4.2%
0 8
16.7%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)57.1%
Missing34
Missing (%)70.8%
Infinite0
Infinite (%)0.0%
Mean37.857143
Minimum0
Maximum206
Zeros7
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-30T03:55:17.598389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20.5
Q351.5
95-th percentile117.6
Maximum206
Range206
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation55.747863
Coefficient of variation (CV)1.472585
Kurtosis6.4875832
Mean37.857143
Median Absolute Deviation (MAD)20.5
Skewness2.2932653
Sum530
Variance3107.8242
MonotonicityNot monotonic
2024-04-30T03:55:17.693005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 7
 
14.6%
70 1
 
2.1%
50 1
 
2.1%
41 1
 
2.1%
52 1
 
2.1%
62 1
 
2.1%
206 1
 
2.1%
49 1
 
2.1%
(Missing) 34
70.8%
ValueCountFrequency (%)
0 7
14.6%
41 1
 
2.1%
49 1
 
2.1%
50 1
 
2.1%
52 1
 
2.1%
62 1
 
2.1%
70 1
 
2.1%
206 1
 
2.1%
ValueCountFrequency (%)
206 1
 
2.1%
70 1
 
2.1%
62 1
 
2.1%
52 1
 
2.1%
50 1
 
2.1%
49 1
 
2.1%
41 1
 
2.1%
0 7
14.6%

총면적
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing34
Missing (%)70.8%
Infinite0
Infinite (%)0.0%
Mean1467.98
Minimum137.4
Maximum7955.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-30T03:55:17.781610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum137.4
5-th percentile172.916
Q1352.74
median740.885
Q31132.1025
95-th percentile5967.293
Maximum7955.63
Range7818.23
Interquartile range (IQR)779.3625

Descriptive statistics

Standard deviation2214.0297
Coefficient of variation (CV)1.5082152
Kurtosis5.9485645
Mean1467.98
Median Absolute Deviation (MAD)397.55
Skewness2.5016924
Sum20551.72
Variance4901927.6
MonotonicityNot monotonic
2024-04-30T03:55:17.885240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1122.0 1
 
2.1%
938.87 1
 
2.1%
542.9 1
 
2.1%
1141.4 1
 
2.1%
4896.65 1
 
2.1%
396.0 1
 
2.1%
338.32 1
 
2.1%
137.4 1
 
2.1%
192.04 1
 
2.1%
980.99 1
 
2.1%
Other values (4) 4
 
8.3%
(Missing) 34
70.8%
ValueCountFrequency (%)
137.4 1
2.1%
192.04 1
2.1%
319.19 1
2.1%
338.32 1
2.1%
396.0 1
2.1%
454.86 1
2.1%
542.9 1
2.1%
938.87 1
2.1%
980.99 1
2.1%
1122.0 1
2.1%
ValueCountFrequency (%)
7955.63 1
2.1%
4896.65 1
2.1%
1141.4 1
2.1%
1135.47 1
2.1%
1122.0 1
2.1%
980.99 1
2.1%
938.87 1
2.1%
542.9 1
2.1%
454.86 1
2.1%
396.0 1
2.1%

진료과목내용
Text

MISSING 

Distinct10
Distinct (%)71.4%
Missing34
Missing (%)70.8%
Memory size516.0 B
2024-04-30T03:55:18.065286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length27.857143
Min length3

Characters and Unicode

Total characters390
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

Unique8 ?
Unique (%)57.1%

Sample

1st row101 104 105 110 116 119
2nd row301 302 303 304 305 308
3rd row201 202 203 204 205 206 207 208 209 210
4th row106 122 105 116 109 101 111 104
5th row101 104 106 109 105
ValueCountFrequency (%)
101 6
 
5.9%
104 5
 
5.0%
105 5
 
5.0%
201 4
 
4.0%
202 4
 
4.0%
203 4
 
4.0%
204 4
 
4.0%
205 4
 
4.0%
206 4
 
4.0%
207 4
 
4.0%
Other values (32) 57
56.4%
2024-04-30T03:55:18.359228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 87
22.3%
87
22.3%
1 76
19.5%
2 58
14.9%
4 23
 
5.9%
3 14
 
3.6%
5 13
 
3.3%
6 12
 
3.1%
9 9
 
2.3%
8 6
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 303
77.7%
Space Separator 87
 
22.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 87
28.7%
1 76
25.1%
2 58
19.1%
4 23
 
7.6%
3 14
 
4.6%
5 13
 
4.3%
6 12
 
4.0%
9 9
 
3.0%
8 6
 
2.0%
7 5
 
1.7%
Space Separator
ValueCountFrequency (%)
87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 390
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 87
22.3%
87
22.3%
1 76
19.5%
2 58
14.9%
4 23
 
5.9%
3 14
 
3.6%
5 13
 
3.3%
6 12
 
3.1%
9 9
 
2.3%
8 6
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 390
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 87
22.3%
87
22.3%
1 76
19.5%
2 58
14.9%
4 23
 
5.9%
3 14
 
3.6%
5 13
 
3.3%
6 12
 
3.1%
9 9
 
2.3%
8 6
 
1.5%

진료과목내용명
Text

MISSING 

Distinct10
Distinct (%)71.4%
Missing34
Missing (%)70.8%
Memory size516.0 B
2024-04-30T03:55:18.533898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length52
Mean length45.642857
Min length2

Characters and Unicode

Total characters639
Distinct characters56
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

Unique8 ?
Unique (%)57.1%

Sample

1st row내과, 외과, 정형외과, 산부인과, 영상의학과, 진단검사의학과
2nd row한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 침구과
3rd row구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 구강악안면방사선과, 구강병리과, 예방치과
4th row내과, 외과, 정형외과, 신경외과, 마취통증의학과, 소아청소년과, 영상의학과, 가정의학과
5th row내과, 외과, 정형외과, 신경외과, 마취통증의학과
ValueCountFrequency (%)
내과 6
 
5.9%
외과 5
 
5.0%
정형외과 5
 
5.0%
치과교정과 5
 
5.0%
소아치과 5
 
5.0%
치주과 5
 
5.0%
치과보존과 5
 
5.0%
구강내과 5
 
5.0%
구강병리과 5
 
5.0%
예방치과 5
 
5.0%
Other values (24) 50
49.5%
2024-04-30T03:55:18.808166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 116
18.2%
, 87
13.6%
87
13.6%
치 33
 
5.2%
강 20
 
3.1%
구 19
 
3.0%
학 18
 
2.8%
의 18
 
2.8%
외 18
 
2.8%
정 17
 
2.7%
Other values (46) 206
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 463
72.5%
Other Punctuation 89
 
13.9%
Space Separator 87
 
13.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 116
25.1%
치 33
 
7.1%
강 20
 
4.3%
구 19
 
4.1%
학 18
 
3.9%
의 18
 
3.9%
외 18
 
3.9%
정 17
 
3.7%
방 14
 
3.0%
내 12
 
2.6%
Other values (43) 178
38.4%
Other Punctuation
ValueCountFrequency (%)
, 87
97.8%
? 2
 
2.2%
Space Separator
ValueCountFrequency (%)
87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 463
72.5%
Common 176
 
27.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 116
25.1%
치 33
 
7.1%
강 20
 
4.3%
구 19
 
4.1%
학 18
 
3.9%
의 18
 
3.9%
외 18
 
3.9%
정 17
 
3.7%
방 14
 
3.0%
내 12
 
2.6%
Other values (43) 178
38.4%
Common
ValueCountFrequency (%)
, 87
49.4%
87
49.4%
? 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 463
72.5%
ASCII 176
 
27.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 116
25.1%
치 33
 
7.1%
강 20
 
4.3%
구 19
 
4.1%
학 18
 
3.9%
의 18
 
3.9%
외 18
 
3.9%
정 17
 
3.7%
방 14
 
3.0%
내 12
 
2.6%
Other values (43) 178
38.4%
ASCII
ValueCountFrequency (%)
, 87
49.4%
87
49.4%
? 2
 
1.1%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

구급차특수
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
34 
0
14 

Length

Max length4
Median length4
Mean length3.125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 34
70.8%
0 14
29.2%

Length

2024-04-30T03:55:18.927103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:19.096208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
70.8%
0 14
29.2%

구급차일반
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
34 
0
14 

Length

Max length4
Median length4
Mean length3.125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 34
70.8%
0 14
29.2%

Length

2024-04-30T03:55:19.428269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:19.687008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
70.8%
0 14
29.2%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

허가병상수
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
34 
0
14 

Length

Max length4
Median length4
Mean length3.125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 34
70.8%
0 14
29.2%

Length

2024-04-30T03:55:19.980573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:55:20.152879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
70.8%
0 14
29.2%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03210000PHMA2197832100340212000011978-05-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-570-800023954.43<NA><NA>서울특별시 서초구 헌릉로 260 (내곡동)6801서울특별시어린이병원2024-03-06 10:34:22U2023-12-03 00:09:00.0병원206059.85662439252.151464<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13210000PHMA21978321003402120000219780914<NA>3폐업3폐업20091231<NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배4동 852-14<NA><NA>가야병원2009-12-31 11:22:27I2018-08-31 23:59:59.0병원<NA><NA>병원630701122.0101 104 105 110 116 119내과, 외과, 정형외과, 산부인과, 영상의학과, 진단검사의학과<NA><NA><NA>00<NA><NA>0<NA>
23210000PHMA2198032100340212000011980-05-02<NA>1영업/정상13영업중<NA><NA><NA><NA>0215881511138964.24<NA><NA>서울특별시 서초구 반포대로 222 (반포동)6591학교법인가톨릭학원가톨릭대학교서울성모병원2024-03-06 10:35:25U2023-12-03 00:09:00.0종합병원200394.225956444207.694482<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33210000PHMA2198932100340212000011989-08-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-536-55991170.89137-835서울특별시 서초구 방배동 837번지 13호서울특별시 서초구 방배로 186 (방배동)6586재단법인 동국한방병원2024-03-25 13:24:32U2023-12-02 22:07:00.0한방병원199257.01204443119.872036<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43210000PHMA21996321003402120000119960628<NA>3폐업3폐업20140430<NA><NA><NA>536-8200<NA>137069서울특별시 서초구 방배본동 2240번지서울특별시 서초구 동광로 5 (방배동)<NA>강남의림한방병원2014-04-30 18:48:39I2018-08-31 23:59:59.0한방병원198467.280077443206.019273한방병원31450938.87301 302 303 304 305 308한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
53210000PHMA2199832100340212000011998-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-586-5557<NA>137-841서울특별시 서초구 방배1동 896번지 1호서울특별시 서초구 서초대로 116 (방배동)6664의료법인 청해의료재단 제일병원2023-06-12 16:54:51U2022-12-05 23:04:00.0병원199494.841956442848.134012<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63210000PHMA2199932100340212000011999-07-24<NA>1영업/정상13영업중<NA><NA><NA><NA>6388-81146663.28137-820서울특별시 서초구 방배동 481번지 10호서울특별시 서초구 남부순환로 2151 (방배동)6699대항병원2023-12-06 10:03:20U2022-11-02 00:08:00.0병원198865.609773441491.109508<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73210000PHMA22001321003402120000120010918<NA>1영업/정상13영업중<NA><NA><NA><NA>02-593-0725<NA><NA><NA>서울특별시 서초구 방배로 245, 3층 (방배동, 현대클리닉빌딩)6557필치과병원2022-12-19 10:54:04U2021-11-01 22:01:00.0치과병원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83210000PHMA2200132100340212000022001-10-17<NA>1영업/정상13영업중<NA><NA><NA><NA>515-7300<NA><NA>서울특별시 서초구 잠원동 38번지 25호 기린한방병원서울특별시 서초구 신반포로49길 3, 기린한방병원 (잠원동)6531길인의료재단 기린한방병원2023-03-31 11:09:59U2022-12-04 00:02:00.0한방병원201705.524083445429.5731<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93210000PHMA22003321003402120000120030722<NA>3폐업3폐업20120831<NA><NA><NA>593-0088<NA>137856서울특별시 서초구 서초4동 1318번지 8호 3층서울특별시 서초구 강남대로 399 (서초동,3층)<NA>유아이씨시카고 치과병원2012-08-31 18:11:57I2018-08-31 23:59:59.0치과병원202305.702281444007.896797치과병원400542.9201 202 203 204 205 206 207 208 209 210구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 구강악안면방사선과, 구강병리과, 예방치과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
383210000PHMA2201732100340212000012017-11-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-588-75754622.38<NA>서울특별시 서초구 방배동 446번지 3호 지하1층~3층서울특별시 서초구 방배천로2길 22 (방배동)6693서초프라임요양병원2024-03-06 10:35:04U2023-12-03 00:09:00.0요양병원(일반요양병원)198506.646655441616.112144<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
393210000PHMA2201832100340212000012018-06-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-587-88752480.74<NA>서울특별시 서초구 서초동 1515번지 4호 서원빌딩서울특별시 서초구 명달로 102, 서원빌딩 1-6층 (서초동)6668올바로병원2024-03-06 10:34:54U2023-12-03 00:09:00.0병원200324.626408442669.649678<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
403210000PHMA2201932100340212000012019-07-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6247-88001009.2<NA>서울특별시 서초구 방배동 795번지 22호 창생빌딩서울특별시 서초구 방배로 223, 창생빌딩 2~7층 (방배동)6561뉴민병원2024-04-18 10:37:55U2023-12-03 22:00:00.0병원199040.374669443425.063163<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
413210000PHMA2201932100340212000022010-08-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-526-08214661.03<NA>서울특별시 서초구 서초동 1677번지 8호 프로비스타서울특별시 서초구 서초대로 338, 프로비스타 지하1층 지상2~8층 (서초동)6632모커리한방병원2024-04-18 16:50:35U2023-12-03 22:00:00.0한방병원201577.653344443623.599964<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
423210000PHMA2202032100340212000012006-04-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-570-12346868.12<NA>서울특별시 서초구 서초동 1426-1서울특별시 서초구 서초중앙로 4, 기쁨병원 (서초동)6725기쁨병원2024-04-18 08:50:42U2023-12-03 22:00:00.0종합병원201523.817375442288.685385<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
433210000PHMA2202132100340212000012021-01-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2088-2975821.53<NA>서울특별시 서초구 서초동 1338-21 코리아비지니스센타서울특별시 서초구 강남대로 309, 코리아비지니스센타 2층 (서초동)6628광덕안정한방병원2024-04-16 14:37:26U2023-12-03 23:08:00.0한방병원202623.297219443154.964347<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
443210000PHMA2202132100340212000022021-08-30<NA>1영업/정상13영업중<NA><NA><NA><NA>0221823300535.71<NA>서울특별시 서초구 서초동 1338-21 코리아비지니스센타서울특별시 서초구 강남대로 309, 코리아비지니스센타 3층 (서초동)6628유디치과병원2024-02-13 15:55:26U2023-12-01 23:05:00.0치과병원202623.297219443154.964347<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453210000PHMA2202232100340212000012022-06-28<NA>1영업/정상13영업중<NA><NA><NA><NA>0262075678978.5<NA>서울특별시 서초구 서초동 1302-2 대지스포츠프라자서울특별시 서초구 서운로 220, 대지스포츠프라자 4층 (서초동)6609자이비뇨의학과병원2024-03-06 10:33:50U2023-12-03 00:09:00.0병원201856.625066444502.636699<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
463210000PHMA2202332100340212000012023-06-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA>2474.69<NA>서울특별시 서초구 방배동 936-12 지하1층일부,2~5층서울특별시 서초구 방배로 151, 지하1층일부,2~5층 (방배동)6672척바른병원2024-03-06 10:31:15U2023-12-03 00:09:00.0병원199360.582882442777.806242<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
473210000PHMA2202432100340212000012013-01-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1899-32107195.75<NA>서울특별시 서초구 서초동 1604-20 GL(지엘)빌딩서울특별시 서초구 효령로 331, GL(지엘)빌딩 (서초동)6643서울안강병원2024-04-22 17:39:23U2023-12-03 22:04:00.0병원201728.602562442694.699055<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>