Overview

Dataset statistics

Number of variables41
Number of observations722
Missing cells10864
Missing cells (%)36.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory246.9 KiB
Average record size in memory350.2 B

Variable types

Categorical11
Text8
DateTime6
Unsupported9
Numeric7

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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-16217/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (58.2%)Imbalance
영업상태명 is highly imbalanced (58.2%)Imbalance
상세영업상태코드 is highly imbalanced (58.2%)Imbalance
상세영업상태명 is highly imbalanced (58.2%)Imbalance
인허가취소일자 has 722 (100.0%) missing valuesMissing
폐업일자 has 481 (66.6%) missing valuesMissing
휴업시작일자 has 717 (99.3%) missing valuesMissing
휴업종료일자 has 717 (99.3%) missing valuesMissing
재개업일자 has 722 (100.0%) missing valuesMissing
전화번호 has 11 (1.5%) missing valuesMissing
소재지면적 has 722 (100.0%) missing valuesMissing
소재지우편번호 has 446 (61.8%) missing valuesMissing
지번주소 has 61 (8.4%) missing valuesMissing
도로명주소 has 70 (9.7%) missing valuesMissing
도로명우편번호 has 83 (11.5%) missing valuesMissing
좌표정보(X) has 74 (10.2%) missing valuesMissing
좌표정보(Y) has 74 (10.2%) missing valuesMissing
의료인수 has 272 (37.7%) missing valuesMissing
입원실수 has 272 (37.7%) missing valuesMissing
병상수 has 272 (37.7%) missing valuesMissing
총면적 has 272 (37.7%) missing valuesMissing
진료과목내용 has 272 (37.7%) missing valuesMissing
진료과목내용명 has 272 (37.7%) missing valuesMissing
지정취소일자 has 722 (100.0%) missing valuesMissing
완화의료지정형태 has 722 (100.0%) missing valuesMissing
완화의료담당부서명 has 722 (100.0%) missing valuesMissing
총인원 has 722 (100.0%) missing valuesMissing
구조사수 has 722 (100.0%) missing valuesMissing
최초지정일자 has 722 (100.0%) missing valuesMissing
관리번호 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
소재지면적 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 438 (60.7%) zerosZeros
병상수 has 434 (60.1%) zerosZeros
총면적 has 41 (5.7%) zerosZeros

Reproduction

Analysis started2024-05-11 02:09:20.553720
Analysis finished2024-05-11 02:09:23.077419
Duration2.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
3030000
722 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 722
100.0%

Length

2024-05-11T02:09:23.343820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:09:23.660715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 722
100.0%

관리번호
Text

UNIQUE 

Distinct722
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-05-11T02:09:24.238966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters18050
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

Unique722 ?
Unique (%)100.0%

Sample

1st rowPHMA119583030033041100001
2nd rowPHMA119653030033041100001
3rd rowPHMA119653030033041100002
4th rowPHMA119663030033041100001
5th rowPHMA119693030033041100001
ValueCountFrequency (%)
phma119583030033041100001 1
 
0.1%
phma120173030033041100002 1
 
0.1%
phma120143030033041100007 1
 
0.1%
phma120143030033041100016 1
 
0.1%
phma120143030033041100008 1
 
0.1%
phma120143030033041100009 1
 
0.1%
phma120143030033041100010 1
 
0.1%
phma120143030033041100011 1
 
0.1%
phma120143030033041100012 1
 
0.1%
phma120143030033041100013 1
 
0.1%
Other values (712) 712
98.6%
2024-05-11T02:09:25.120942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6312
35.0%
3 3062
17.0%
1 2995
16.6%
2 919
 
5.1%
4 882
 
4.9%
P 722
 
4.0%
H 722
 
4.0%
M 722
 
4.0%
A 722
 
4.0%
9 394
 
2.2%
Other values (4) 598
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15162
84.0%
Uppercase Letter 2888
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6312
41.6%
3 3062
20.2%
1 2995
19.8%
2 919
 
6.1%
4 882
 
5.8%
9 394
 
2.6%
7 163
 
1.1%
8 154
 
1.0%
5 144
 
0.9%
6 137
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 722
25.0%
H 722
25.0%
M 722
25.0%
A 722
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15162
84.0%
Latin 2888
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6312
41.6%
3 3062
20.2%
1 2995
19.8%
2 919
 
6.1%
4 882
 
5.8%
9 394
 
2.6%
7 163
 
1.1%
8 154
 
1.0%
5 144
 
0.9%
6 137
 
0.9%
Latin
ValueCountFrequency (%)
P 722
25.0%
H 722
25.0%
M 722
25.0%
A 722
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6312
35.0%
3 3062
17.0%
1 2995
16.6%
2 919
 
5.1%
4 882
 
4.9%
P 722
 
4.0%
H 722
 
4.0%
M 722
 
4.0%
A 722
 
4.0%
9 394
 
2.2%
Other values (4) 598
 
3.3%
Distinct677
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
Minimum1958-05-22 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T02:09:25.424752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:09:25.766006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
1
479 
3
239 
4
 
2
2
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 479
66.3%
3 239
33.1%
4 2
 
0.3%
2 1
 
0.1%
5 1
 
0.1%

Length

2024-05-11T02:09:26.160058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:09:26.502187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 479
66.3%
3 239
33.1%
4 2
 
0.3%
2 1
 
0.1%
5 1
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
영업/정상
479 
폐업
239 
취소/말소/만료/정지/중지
 
2
휴업
 
1
제외/삭제/전출
 
1

Length

Max length14
Median length5
Mean length4.031856
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 479
66.3%
폐업 239
33.1%
취소/말소/만료/정지/중지 2
 
0.3%
휴업 1
 
0.1%
제외/삭제/전출 1
 
0.1%

Length

2024-05-11T02:09:26.894047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:09:27.269023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 479
66.3%
폐업 239
33.1%
취소/말소/만료/정지/중지 2
 
0.3%
휴업 1
 
0.1%
제외/삭제/전출 1
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
13
479 
3
239 
24
 
2
2
 
1
15
 
1

Length

Max length2
Median length2
Mean length1.66759
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 479
66.3%
3 239
33.1%
24 2
 
0.3%
2 1
 
0.1%
15 1
 
0.1%

Length

2024-05-11T02:09:27.664529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:09:28.010498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 479
66.3%
3 239
33.1%
24 2
 
0.3%
2 1
 
0.1%
15 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
영업중
479 
폐업
239 
직권폐업
 
2
휴업
 
1
전출
 
1

Length

Max length4
Median length3
Mean length2.6689751
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 479
66.3%
폐업 239
33.1%
직권폐업 2
 
0.3%
휴업 1
 
0.1%
전출 1
 
0.1%

Length

2024-05-11T02:09:28.497116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:09:28.856148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 479
66.3%
폐업 239
33.1%
직권폐업 2
 
0.3%
휴업 1
 
0.1%
전출 1
 
0.1%

폐업일자
Date

MISSING 

Distinct230
Distinct (%)95.4%
Missing481
Missing (%)66.6%
Memory size5.8 KiB
Minimum2007-12-14 00:00:00
Maximum2024-03-26 00:00:00
2024-05-11T02:09:29.237229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:09:29.650071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing717
Missing (%)99.3%
Memory size5.8 KiB
Minimum2008-08-30 00:00:00
Maximum2024-02-01 00:00:00
2024-05-11T02:09:29.977899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:09:30.304639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업종료일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing717
Missing (%)99.3%
Memory size5.8 KiB
Minimum2008-12-31 00:00:00
Maximum2024-05-31 00:00:00
2024-05-11T02:09:30.582190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:09:30.912834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

전화번호
Text

MISSING 

Distinct670
Distinct (%)94.2%
Missing11
Missing (%)1.5%
Memory size5.8 KiB
2024-05-11T02:09:31.403689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.749648
Min length8

Characters and Unicode

Total characters8354
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique633 ?
Unique (%)89.0%

Sample

1st row02-2286-7000
2nd row02-2293-3244
3rd row02-2292-5902
4th row02-2293-0522
5th row02-2299-3652
ValueCountFrequency (%)
02-2248-1055 4
 
0.6%
02-2298-2232 3
 
0.4%
02-2247-6633 3
 
0.4%
02-462-7249 2
 
0.3%
02-2298-6119 2
 
0.3%
02-2232-2205 2
 
0.3%
02-498-2875 2
 
0.3%
02-499-9961 2
 
0.3%
02-2291-2543 2
 
0.3%
02-2296-2362 2
 
0.3%
Other values (660) 687
96.6%
2024-05-11T02:09:32.574198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2187
26.2%
- 1416
16.9%
0 1106
13.2%
9 629
 
7.5%
5 542
 
6.5%
8 530
 
6.3%
7 479
 
5.7%
4 387
 
4.6%
1 380
 
4.5%
6 370
 
4.4%
Other values (2) 328
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6937
83.0%
Dash Punctuation 1416
 
16.9%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2187
31.5%
0 1106
15.9%
9 629
 
9.1%
5 542
 
7.8%
8 530
 
7.6%
7 479
 
6.9%
4 387
 
5.6%
1 380
 
5.5%
6 370
 
5.3%
3 327
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 1416
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8354
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2187
26.2%
- 1416
16.9%
0 1106
13.2%
9 629
 
7.5%
5 542
 
6.5%
8 530
 
6.3%
7 479
 
5.7%
4 387
 
4.6%
1 380
 
4.5%
6 370
 
4.4%
Other values (2) 328
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8354
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2187
26.2%
- 1416
16.9%
0 1106
13.2%
9 629
 
7.5%
5 542
 
6.5%
8 530
 
6.3%
7 479
 
5.7%
4 387
 
4.6%
1 380
 
4.5%
6 370
 
4.4%
Other values (2) 328
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

소재지우편번호
Text

MISSING 

Distinct109
Distinct (%)39.5%
Missing446
Missing (%)61.8%
Memory size5.8 KiB
2024-05-11T02:09:33.416305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1956522
Min length6

Characters and Unicode

Total characters1710
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

Unique51 ?
Unique (%)18.5%

Sample

1st row133880
2nd row133881
3rd row133865
4th row133809
5th row133866
ValueCountFrequency (%)
133867 15
 
5.4%
133809 13
 
4.7%
133775 9
 
3.3%
133882 9
 
3.3%
133805 9
 
3.3%
133839 8
 
2.9%
133801 6
 
2.2%
133-867 6
 
2.2%
133847 6
 
2.2%
133848 6
 
2.2%
Other values (99) 189
68.5%
2024-05-11T02:09:34.539746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 597
34.9%
1 325
19.0%
8 272
15.9%
0 110
 
6.4%
7 98
 
5.7%
5 67
 
3.9%
- 54
 
3.2%
2 53
 
3.1%
6 48
 
2.8%
4 44
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1656
96.8%
Dash Punctuation 54
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 597
36.1%
1 325
19.6%
8 272
16.4%
0 110
 
6.6%
7 98
 
5.9%
5 67
 
4.0%
2 53
 
3.2%
6 48
 
2.9%
4 44
 
2.7%
9 42
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1710
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 597
34.9%
1 325
19.0%
8 272
15.9%
0 110
 
6.4%
7 98
 
5.7%
5 67
 
3.9%
- 54
 
3.2%
2 53
 
3.1%
6 48
 
2.8%
4 44
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1710
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 597
34.9%
1 325
19.0%
8 272
15.9%
0 110
 
6.4%
7 98
 
5.7%
5 67
 
3.9%
- 54
 
3.2%
2 53
 
3.1%
6 48
 
2.8%
4 44
 
2.6%

지번주소
Text

MISSING 

Distinct612
Distinct (%)92.6%
Missing61
Missing (%)8.4%
Memory size5.8 KiB
2024-05-11T02:09:35.230007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length28.860817
Min length16

Characters and Unicode

Total characters19077
Distinct characters227
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique580 ?
Unique (%)87.7%

Sample

1st row서울특별시 성동구 홍익동 16번지 15호
2nd row서울특별시 성동구 홍익동 396번지
3rd row서울특별시 성동구 금호동1가 1787번지 2호
4th row서울특별시 성동구 마장동 568번지 1호
5th row서울특별시 성동구 행당1동 243번지 1호
ValueCountFrequency (%)
서울특별시 662
 
17.0%
성동구 662
 
17.0%
2층 130
 
3.3%
행당동 69
 
1.8%
1호 61
 
1.6%
3층 58
 
1.5%
성수동2가 57
 
1.5%
옥수동 47
 
1.2%
금호동4가 44
 
1.1%
2호 44
 
1.1%
Other values (699) 2056
52.9%
2024-05-11T02:09:36.631737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3242
 
17.0%
1381
 
7.2%
843
 
4.4%
2 802
 
4.2%
1 729
 
3.8%
678
 
3.6%
676
 
3.5%
670
 
3.5%
668
 
3.5%
665
 
3.5%
Other values (217) 8723
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11352
59.5%
Decimal Number 4057
 
21.3%
Space Separator 3242
 
17.0%
Close Punctuation 107
 
0.6%
Open Punctuation 107
 
0.6%
Other Punctuation 88
 
0.5%
Dash Punctuation 73
 
0.4%
Uppercase Letter 49
 
0.3%
Letter Number 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1381
 
12.2%
843
 
7.4%
678
 
6.0%
676
 
6.0%
670
 
5.9%
668
 
5.9%
665
 
5.9%
662
 
5.8%
662
 
5.8%
618
 
5.4%
Other values (185) 3829
33.7%
Uppercase Letter
ValueCountFrequency (%)
B 10
20.4%
W 7
14.3%
A 5
10.2%
L 5
10.2%
I 3
 
6.1%
D 3
 
6.1%
S 3
 
6.1%
M 2
 
4.1%
R 2
 
4.1%
E 2
 
4.1%
Other values (4) 7
14.3%
Decimal Number
ValueCountFrequency (%)
2 802
19.8%
1 729
18.0%
3 560
13.8%
4 362
8.9%
0 356
8.8%
5 328
8.1%
6 326
8.0%
8 208
 
5.1%
7 203
 
5.0%
9 183
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 85
96.6%
. 3
 
3.4%
Space Separator
ValueCountFrequency (%)
3242
100.0%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11352
59.5%
Common 7675
40.2%
Latin 50
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1381
 
12.2%
843
 
7.4%
678
 
6.0%
676
 
6.0%
670
 
5.9%
668
 
5.9%
665
 
5.9%
662
 
5.8%
662
 
5.8%
618
 
5.4%
Other values (185) 3829
33.7%
Common
ValueCountFrequency (%)
3242
42.2%
2 802
 
10.4%
1 729
 
9.5%
3 560
 
7.3%
4 362
 
4.7%
0 356
 
4.6%
5 328
 
4.3%
6 326
 
4.2%
8 208
 
2.7%
7 203
 
2.6%
Other values (7) 559
 
7.3%
Latin
ValueCountFrequency (%)
B 10
20.0%
W 7
14.0%
A 5
10.0%
L 5
10.0%
I 3
 
6.0%
D 3
 
6.0%
S 3
 
6.0%
M 2
 
4.0%
R 2
 
4.0%
E 2
 
4.0%
Other values (5) 8
16.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11352
59.5%
ASCII 7724
40.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3242
42.0%
2 802
 
10.4%
1 729
 
9.4%
3 560
 
7.3%
4 362
 
4.7%
0 356
 
4.6%
5 328
 
4.2%
6 326
 
4.2%
8 208
 
2.7%
7 203
 
2.6%
Other values (21) 608
 
7.9%
Hangul
ValueCountFrequency (%)
1381
 
12.2%
843
 
7.4%
678
 
6.0%
676
 
6.0%
670
 
5.9%
668
 
5.9%
665
 
5.9%
662
 
5.8%
662
 
5.8%
618
 
5.4%
Other values (185) 3829
33.7%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct607
Distinct (%)93.1%
Missing70
Missing (%)9.7%
Memory size5.8 KiB
2024-05-11T02:09:37.423664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length52
Mean length34.437117
Min length22

Characters and Unicode

Total characters22453
Distinct characters241
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique568 ?
Unique (%)87.1%

Sample

1st row서울특별시 성동구 마장로23길 10 (홍익동)
2nd row서울특별시 성동구 무학로 20 (홍익동)
3rd row서울특별시 성동구 고산자로 331 (마장동)
4th row서울특별시 성동구 고산자로12길 2 (행당동)
5th row서울특별시 성동구 행당로 1 (금호동1가)
ValueCountFrequency (%)
서울특별시 652
 
14.8%
성동구 652
 
14.8%
2층 170
 
3.9%
왕십리로 123
 
2.8%
행당동 105
 
2.4%
성수동2가 92
 
2.1%
3층 87
 
2.0%
독서당로 83
 
1.9%
하왕십리동 62
 
1.4%
성수동1가 62
 
1.4%
Other values (678) 2323
52.7%
2024-05-11T02:09:38.757751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3762
 
16.8%
1411
 
6.3%
, 878
 
3.9%
875
 
3.9%
2 806
 
3.6%
754
 
3.4%
670
 
3.0%
) 666
 
3.0%
( 666
 
3.0%
661
 
2.9%
Other values (231) 11304
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12702
56.6%
Space Separator 3762
 
16.8%
Decimal Number 3604
 
16.1%
Other Punctuation 880
 
3.9%
Close Punctuation 666
 
3.0%
Open Punctuation 666
 
3.0%
Uppercase Letter 89
 
0.4%
Dash Punctuation 77
 
0.3%
Math Symbol 6
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1411
 
11.1%
875
 
6.9%
754
 
5.9%
670
 
5.3%
661
 
5.2%
655
 
5.2%
652
 
5.1%
652
 
5.1%
534
 
4.2%
453
 
3.6%
Other values (196) 5385
42.4%
Uppercase Letter
ValueCountFrequency (%)
L 25
28.1%
B 16
18.0%
W 7
 
7.9%
A 6
 
6.7%
D 6
 
6.7%
M 5
 
5.6%
I 5
 
5.6%
S 3
 
3.4%
T 3
 
3.4%
K 2
 
2.2%
Other values (7) 11
12.4%
Decimal Number
ValueCountFrequency (%)
2 806
22.4%
1 645
17.9%
3 638
17.7%
0 458
12.7%
4 346
9.6%
5 181
 
5.0%
7 141
 
3.9%
8 138
 
3.8%
6 131
 
3.6%
9 120
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 878
99.8%
. 2
 
0.2%
Space Separator
ValueCountFrequency (%)
3762
100.0%
Close Punctuation
ValueCountFrequency (%)
) 666
100.0%
Open Punctuation
ValueCountFrequency (%)
( 666
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12702
56.6%
Common 9661
43.0%
Latin 90
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1411
 
11.1%
875
 
6.9%
754
 
5.9%
670
 
5.3%
661
 
5.2%
655
 
5.2%
652
 
5.1%
652
 
5.1%
534
 
4.2%
453
 
3.6%
Other values (196) 5385
42.4%
Latin
ValueCountFrequency (%)
L 25
27.8%
B 16
17.8%
W 7
 
7.8%
A 6
 
6.7%
D 6
 
6.7%
M 5
 
5.6%
I 5
 
5.6%
S 3
 
3.3%
T 3
 
3.3%
K 2
 
2.2%
Other values (8) 12
13.3%
Common
ValueCountFrequency (%)
3762
38.9%
, 878
 
9.1%
2 806
 
8.3%
) 666
 
6.9%
( 666
 
6.9%
1 645
 
6.7%
3 638
 
6.6%
0 458
 
4.7%
4 346
 
3.6%
5 181
 
1.9%
Other values (7) 615
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12702
56.6%
ASCII 9750
43.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3762
38.6%
, 878
 
9.0%
2 806
 
8.3%
) 666
 
6.8%
( 666
 
6.8%
1 645
 
6.6%
3 638
 
6.5%
0 458
 
4.7%
4 346
 
3.5%
5 181
 
1.9%
Other values (24) 704
 
7.2%
Hangul
ValueCountFrequency (%)
1411
 
11.1%
875
 
6.9%
754
 
5.9%
670
 
5.3%
661
 
5.2%
655
 
5.2%
652
 
5.1%
652
 
5.1%
534
 
4.2%
453
 
3.6%
Other values (196) 5385
42.4%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)17.5%
Missing83
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean15649.98
Minimum4700
Maximum133882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-05-11T02:09:39.354148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4700
5-th percentile4701
Q14715
median4737
Q34782
95-th percentile133809
Maximum133882
Range129182
Interquartile range (IQR)67

Descriptive statistics

Standard deviation35923.601
Coefficient of variation (CV)2.2954408
Kurtosis6.9896287
Mean15649.98
Median Absolute Deviation (MAD)28
Skewness2.9946178
Sum10000337
Variance1.2905051 × 109
MonotonicityNot monotonic
2024-05-11T02:09:39.961159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4737 33
 
4.6%
4715 31
 
4.3%
4701 30
 
4.2%
4709 28
 
3.9%
4779 19
 
2.6%
4794 18
 
2.5%
4804 17
 
2.4%
4782 16
 
2.2%
4714 15
 
2.1%
4713 14
 
1.9%
Other values (102) 418
57.9%
(Missing) 83
 
11.5%
ValueCountFrequency (%)
4700 7
 
1.0%
4701 30
4.2%
4702 6
 
0.8%
4703 1
 
0.1%
4704 5
 
0.7%
4705 2
 
0.3%
4706 3
 
0.4%
4707 14
1.9%
4708 1
 
0.1%
4709 28
3.9%
ValueCountFrequency (%)
133882 2
 
0.3%
133868 1
 
0.1%
133867 3
0.4%
133858 5
0.7%
133852 1
 
0.1%
133849 2
 
0.3%
133848 1
 
0.1%
133847 2
 
0.3%
133839 3
0.4%
133836 1
 
0.1%
Distinct705
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-05-11T02:09:40.914464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length7.6191136
Min length3

Characters and Unicode

Total characters5501
Distinct characters373
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique690 ?
Unique (%)95.6%

Sample

1st row서울특별시성동구보건소
2nd row김원자산부인과의원
3rd row최일외과의원
4th row동원한의원
5th row성제국한의원
ValueCountFrequency (%)
치과의원 9
 
1.2%
에이스남성의원 4
 
0.5%
센트라스 3
 
0.4%
쾌한의원 2
 
0.3%
홍용표의원 2
 
0.3%
성동재활의원 2
 
0.3%
의료법인 2
 
0.3%
서울숲한의원 2
 
0.3%
유디성수치과의원 2
 
0.3%
대인한의원 2
 
0.3%
Other values (706) 715
96.0%
2024-05-11T02:09:42.428912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
789
 
14.3%
734
 
13.3%
466
 
8.5%
197
 
3.6%
196
 
3.6%
104
 
1.9%
88
 
1.6%
81
 
1.5%
77
 
1.4%
71
 
1.3%
Other values (363) 2698
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5417
98.5%
Space Separator 23
 
0.4%
Decimal Number 14
 
0.3%
Lowercase Letter 12
 
0.2%
Open Punctuation 11
 
0.2%
Close Punctuation 11
 
0.2%
Uppercase Letter 10
 
0.2%
Math Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
789
 
14.6%
734
 
13.5%
466
 
8.6%
197
 
3.6%
196
 
3.6%
104
 
1.9%
88
 
1.6%
81
 
1.5%
77
 
1.4%
71
 
1.3%
Other values (335) 2614
48.3%
Lowercase Letter
ValueCountFrequency (%)
r 2
16.7%
e 2
16.7%
m 1
8.3%
o 1
8.3%
d 1
8.3%
b 1
8.3%
a 1
8.3%
l 1
8.3%
n 1
8.3%
h 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
J 2
20.0%
T 2
20.0%
A 2
20.0%
I 1
10.0%
K 1
10.0%
O 1
10.0%
S 1
10.0%
Decimal Number
ValueCountFrequency (%)
3 4
28.6%
6 4
28.6%
5 4
28.6%
4 1
 
7.1%
1 1
 
7.1%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5416
98.5%
Common 62
 
1.1%
Latin 22
 
0.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
789
 
14.6%
734
 
13.6%
466
 
8.6%
197
 
3.6%
196
 
3.6%
104
 
1.9%
88
 
1.6%
81
 
1.5%
77
 
1.4%
71
 
1.3%
Other values (334) 2613
48.2%
Latin
ValueCountFrequency (%)
J 2
 
9.1%
r 2
 
9.1%
e 2
 
9.1%
T 2
 
9.1%
A 2
 
9.1%
I 1
 
4.5%
m 1
 
4.5%
o 1
 
4.5%
d 1
 
4.5%
K 1
 
4.5%
Other values (7) 7
31.8%
Common
ValueCountFrequency (%)
23
37.1%
( 11
17.7%
) 11
17.7%
3 4
 
6.5%
6 4
 
6.5%
5 4
 
6.5%
4 1
 
1.6%
+ 1
 
1.6%
& 1
 
1.6%
- 1
 
1.6%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5416
98.5%
ASCII 84
 
1.5%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
789
 
14.6%
734
 
13.6%
466
 
8.6%
197
 
3.6%
196
 
3.6%
104
 
1.9%
88
 
1.6%
81
 
1.5%
77
 
1.4%
71
 
1.3%
Other values (334) 2613
48.2%
ASCII
ValueCountFrequency (%)
23
27.4%
( 11
13.1%
) 11
13.1%
3 4
 
4.8%
6 4
 
4.8%
5 4
 
4.8%
J 2
 
2.4%
r 2
 
2.4%
e 2
 
2.4%
T 2
 
2.4%
Other values (18) 19
22.6%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct604
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
Minimum2008-12-09 13:39:57
Maximum2024-05-09 23:43:40
2024-05-11T02:09:43.510363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:09:44.097539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
U
413 
I
309 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 413
57.2%
I 309
42.8%

Length

2024-05-11T02:09:44.575031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:09:44.877750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 413
57.2%
i 309
42.8%
Distinct289
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T02:09:45.199658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:09:45.630037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
의원
375 
치과의원
189 
한의원
157 
보건소
 
1

Length

Max length4
Median length2
Mean length2.7423823
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row보건소
2nd row의원
3rd row의원
4th row한의원
5th row한의원

Common Values

ValueCountFrequency (%)
의원 375
51.9%
치과의원 189
26.2%
한의원 157
21.7%
보건소 1
 
0.1%

Length

2024-05-11T02:09:46.072535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:09:46.712230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 375
51.9%
치과의원 189
26.2%
한의원 157
21.7%
보건소 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct317
Distinct (%)48.9%
Missing74
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean203116.29
Minimum200812.99
Maximum206009.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-05-11T02:09:47.215162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200812.99
5-th percentile201351.26
Q1202113.87
median202907.22
Q3204269.34
95-th percentile204976.65
Maximum206009.68
Range5196.6903
Interquartile range (IQR)2155.4674

Descriptive statistics

Standard deviation1243.6387
Coefficient of variation (CV)0.0061227917
Kurtosis-1.0292285
Mean203116.29
Median Absolute Deviation (MAD)1020.8351
Skewness0.28907856
Sum1.3161935 × 108
Variance1546637.2
MonotonicityNot monotonic
2024-05-11T02:09:47.805560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202372.912023599 17
 
2.4%
202326.503044305 17
 
2.4%
201924.287403479 12
 
1.7%
203046.420982542 9
 
1.2%
202956.414563213 9
 
1.2%
202511.142930696 9
 
1.2%
202967.042456635 8
 
1.1%
204257.584861091 8
 
1.1%
202988.299644972 8
 
1.1%
204976.652050117 7
 
1.0%
Other values (307) 544
75.3%
(Missing) 74
 
10.2%
ValueCountFrequency (%)
200812.992681398 1
 
0.1%
200813.000885632 1
 
0.1%
200913.361072125 1
 
0.1%
200951.206580662 2
0.3%
201059.703833592 1
 
0.1%
201110.397044663 3
0.4%
201144.0 2
0.3%
201153.981577199 4
0.6%
201157.877298502 3
0.4%
201174.525137191 1
 
0.1%
ValueCountFrequency (%)
206009.682997395 1
 
0.1%
205861.778324251 3
0.4%
205857.635484632 1
 
0.1%
205783.182666929 1
 
0.1%
205779.087396763 1
 
0.1%
205733.953454083 4
0.6%
205704.460089774 1
 
0.1%
205697.619105269 1
 
0.1%
205674.071146185 2
0.3%
205594.672249 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct317
Distinct (%)48.9%
Missing74
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean450171.98
Minimum448236.23
Maximum452041.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-05-11T02:09:48.295588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448236.23
5-th percentile448536.87
Q1449357.61
median449963.04
Q3451135.22
95-th percentile451619.02
Maximum452041.56
Range3805.3316
Interquartile range (IQR)1777.6102

Descriptive statistics

Standard deviation1028.0606
Coefficient of variation (CV)0.0022837062
Kurtosis-1.2894426
Mean450171.98
Median Absolute Deviation (MAD)905.82557
Skewness0.033779557
Sum2.9171144 × 108
Variance1056908.5
MonotonicityNot monotonic
2024-05-11T02:09:48.990004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450625.58422744 17
 
2.4%
451536.680876573 17
 
2.4%
449505.43323776 13
 
1.8%
451049.840993656 9
 
1.2%
450401.303715561 9
 
1.2%
450918.935049555 9
 
1.2%
451118.809600324 8
 
1.1%
449412.544118545 8
 
1.1%
450991.695797571 8
 
1.1%
451451.0 7
 
1.0%
Other values (307) 543
75.2%
(Missing) 74
 
10.2%
ValueCountFrequency (%)
448236.227470207 2
0.3%
448257.988722667 1
 
0.1%
448277.387756454 1
 
0.1%
448278.927222 1
 
0.1%
448294.320831115 1
 
0.1%
448295.046451785 2
0.3%
448317.872400495 4
0.6%
448350.899137167 1
 
0.1%
448352.735480655 1
 
0.1%
448355.122746319 1
 
0.1%
ValueCountFrequency (%)
452041.559037331 1
 
0.1%
452019.132498433 3
0.4%
451978.270382399 1
 
0.1%
451977.414453728 1
 
0.1%
451965.03442982 1
 
0.1%
451908.86237999 2
 
0.3%
451906.0 3
0.4%
451897.581865192 7
1.0%
451876.144214262 2
 
0.3%
451829.35434128 1
 
0.1%
Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
272 
의원
233 
치과의원
144 
한의원
72 
보건소
 
1

Length

Max length4
Median length4
Mean length3.2534626
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row보건소
2nd row의원
3rd row의원
4th row한의원
5th row한의원

Common Values

ValueCountFrequency (%)
<NA> 272
37.7%
의원 233
32.3%
치과의원 144
19.9%
한의원 72
 
10.0%
보건소 1
 
0.1%

Length

2024-05-11T02:09:49.619432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:09:50.000745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 272
37.7%
의원 233
32.3%
치과의원 144
19.9%
한의원 72
 
10.0%
보건소 1
 
0.1%

의료인수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)1.6%
Missing272
Missing (%)37.7%
Infinite0
Infinite (%)0.0%
Mean1.1644444
Minimum0
Maximum8
Zeros2
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-05-11T02:09:50.471218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.58532749
Coefficient of variation (CV)0.50266673
Kurtosis50.744045
Mean1.1644444
Median Absolute Deviation (MAD)0
Skewness5.8467284
Sum524
Variance0.34260827
MonotonicityNot monotonic
2024-05-11T02:09:50.943716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 394
54.6%
2 42
 
5.8%
3 8
 
1.1%
0 2
 
0.3%
5 2
 
0.3%
8 1
 
0.1%
4 1
 
0.1%
(Missing) 272
37.7%
ValueCountFrequency (%)
0 2
 
0.3%
1 394
54.6%
2 42
 
5.8%
3 8
 
1.1%
4 1
 
0.1%
5 2
 
0.3%
8 1
 
0.1%
ValueCountFrequency (%)
8 1
 
0.1%
5 2
 
0.3%
4 1
 
0.1%
3 8
 
1.1%
2 42
 
5.8%
1 394
54.6%
0 2
 
0.3%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)1.6%
Missing272
Missing (%)37.7%
Infinite0
Infinite (%)0.0%
Mean0.088888889
Minimum0
Maximum10
Zeros438
Zeros (%)60.7%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-05-11T02:09:51.350313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.71950931
Coefficient of variation (CV)8.0944797
Kurtosis119.5005
Mean0.088888889
Median Absolute Deviation (MAD)0
Skewness10.424453
Sum40
Variance0.51769364
MonotonicityNot monotonic
2024-05-11T02:09:51.872559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 438
60.7%
1 5
 
0.7%
2 2
 
0.3%
7 2
 
0.3%
10 1
 
0.1%
4 1
 
0.1%
3 1
 
0.1%
(Missing) 272
37.7%
ValueCountFrequency (%)
0 438
60.7%
1 5
 
0.7%
2 2
 
0.3%
3 1
 
0.1%
4 1
 
0.1%
7 2
 
0.3%
10 1
 
0.1%
ValueCountFrequency (%)
10 1
 
0.1%
7 2
 
0.3%
4 1
 
0.1%
3 1
 
0.1%
2 2
 
0.3%
1 5
 
0.7%
0 438
60.7%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)2.9%
Missing272
Missing (%)37.7%
Infinite0
Infinite (%)0.0%
Mean0.44444444
Minimum0
Maximum42
Zeros434
Zeros (%)60.1%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-05-11T02:09:52.303047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum42
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.3387484
Coefficient of variation (CV)7.5121839
Kurtosis87.864168
Mean0.44444444
Median Absolute Deviation (MAD)0
Skewness9.0269398
Sum200
Variance11.147241
MonotonicityNot monotonic
2024-05-11T02:09:52.673964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 434
60.1%
1 4
 
0.6%
29 2
 
0.3%
4 1
 
0.1%
2 1
 
0.1%
3 1
 
0.1%
42 1
 
0.1%
19 1
 
0.1%
24 1
 
0.1%
8 1
 
0.1%
Other values (3) 3
 
0.4%
(Missing) 272
37.7%
ValueCountFrequency (%)
0 434
60.1%
1 4
 
0.6%
2 1
 
0.1%
3 1
 
0.1%
4 1
 
0.1%
6 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
19 1
 
0.1%
23 1
 
0.1%
ValueCountFrequency (%)
42 1
0.1%
29 2
0.3%
24 1
0.1%
23 1
0.1%
19 1
0.1%
8 1
0.1%
7 1
0.1%
6 1
0.1%
4 1
0.1%
3 1
0.1%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct379
Distinct (%)84.2%
Missing272
Missing (%)37.7%
Infinite0
Infinite (%)0.0%
Mean122.41333
Minimum0
Maximum3046.2
Zeros41
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-05-11T02:09:53.092957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q168.905
median96.805
Q3133.72
95-th percentile296.46
Maximum3046.2
Range3046.2
Interquartile range (IQR)64.815

Descriptive statistics

Standard deviation172.25267
Coefficient of variation (CV)1.4071398
Kurtosis186.7376
Mean122.41333
Median Absolute Deviation (MAD)30.67
Skewness11.620368
Sum55086
Variance29670.983
MonotonicityNot monotonic
2024-05-11T02:09:53.730609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 41
 
5.7%
87.75 4
 
0.6%
95.0 3
 
0.4%
89.0 3
 
0.4%
152.7 2
 
0.3%
82.0 2
 
0.3%
105.0 2
 
0.3%
96.44 2
 
0.3%
297.0 2
 
0.3%
177.7 2
 
0.3%
Other values (369) 387
53.6%
(Missing) 272
37.7%
ValueCountFrequency (%)
0.0 41
5.7%
9.6 1
 
0.1%
11.2 1
 
0.1%
19.2 1
 
0.1%
21.4 1
 
0.1%
21.45 1
 
0.1%
32.0 1
 
0.1%
32.26 1
 
0.1%
40.0 2
 
0.3%
41.4 1
 
0.1%
ValueCountFrequency (%)
3046.2 1
0.1%
806.0 1
0.1%
776.0 1
0.1%
768.4 1
0.1%
754.96 1
0.1%
600.0 1
0.1%
581.21 1
0.1%
495.0 1
0.1%
458.43 1
0.1%
444.96 1
0.1%

진료과목내용
Text

MISSING 

Distinct195
Distinct (%)43.3%
Missing272
Missing (%)37.7%
Memory size5.8 KiB
2024-05-11T02:09:54.424286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length55
Mean length13.071111
Min length3

Characters and Unicode

Total characters5882
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

Unique155 ?
Unique (%)34.4%

Sample

1st row601
2nd row110
3rd row104
4th row308
5th row308
ValueCountFrequency (%)
101 144
 
9.1%
111 116
 
7.3%
401 114
 
7.2%
114 112
 
7.1%
113 92
 
5.8%
308 72
 
4.5%
115 57
 
3.6%
104 51
 
3.2%
105 49
 
3.1%
122 47
 
3.0%
Other values (35) 729
46.1%
2024-05-11T02:09:55.387638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1827
31.1%
1133
19.3%
0 1069
18.2%
4 573
 
9.7%
3 539
 
9.2%
2 245
 
4.2%
5 175
 
3.0%
8 125
 
2.1%
6 79
 
1.3%
7 60
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4749
80.7%
Space Separator 1133
 
19.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1827
38.5%
0 1069
22.5%
4 573
 
12.1%
3 539
 
11.3%
2 245
 
5.2%
5 175
 
3.7%
8 125
 
2.6%
6 79
 
1.7%
7 60
 
1.3%
9 57
 
1.2%
Space Separator
ValueCountFrequency (%)
1133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5882
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1827
31.1%
1133
19.3%
0 1069
18.2%
4 573
 
9.7%
3 539
 
9.2%
2 245
 
4.2%
5 175
 
3.0%
8 125
 
2.1%
6 79
 
1.3%
7 60
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5882
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1827
31.1%
1133
19.3%
0 1069
18.2%
4 573
 
9.7%
3 539
 
9.2%
2 245
 
4.2%
5 175
 
3.0%
8 125
 
2.1%
6 79
 
1.3%
7 60
 
1.0%

진료과목내용명
Text

MISSING 

Distinct155
Distinct (%)34.4%
Missing272
Missing (%)37.7%
Memory size5.8 KiB
2024-05-11T02:09:56.035010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length109
Median length69
Mean length20.422222
Min length2

Characters and Unicode

Total characters9190
Distinct characters64
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

Unique112 ?
Unique (%)24.9%

Sample

1st row보건소
2nd row산부인과
3rd row외과
4th row침구과
5th row침구과
ValueCountFrequency (%)
내과 144
 
9.1%
치과 117
 
7.4%
소아청소년과 116
 
7.3%
피부과 112
 
7.1%
이비인후과 92
 
5.8%
침구과 72
 
4.5%
비뇨의학과 57
 
3.6%
외과 51
 
3.2%
정형외과 49
 
3.1%
가정의학과 47
 
3.0%
Other values (34) 726
45.9%
2024-05-11T02:09:57.076243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1654
18.0%
, 1133
 
12.3%
1133
 
12.3%
301
 
3.3%
286
 
3.1%
277
 
3.0%
256
 
2.8%
243
 
2.6%
243
 
2.6%
233
 
2.5%
Other values (54) 3431
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6838
74.4%
Other Punctuation 1219
 
13.3%
Space Separator 1133
 
12.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1654
24.2%
301
 
4.4%
286
 
4.2%
277
 
4.1%
256
 
3.7%
243
 
3.6%
243
 
3.6%
233
 
3.4%
212
 
3.1%
211
 
3.1%
Other values (51) 2922
42.7%
Other Punctuation
ValueCountFrequency (%)
, 1133
92.9%
? 86
 
7.1%
Space Separator
ValueCountFrequency (%)
1133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6838
74.4%
Common 2352
 
25.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1654
24.2%
301
 
4.4%
286
 
4.2%
277
 
4.1%
256
 
3.7%
243
 
3.6%
243
 
3.6%
233
 
3.4%
212
 
3.1%
211
 
3.1%
Other values (51) 2922
42.7%
Common
ValueCountFrequency (%)
, 1133
48.2%
1133
48.2%
? 86
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6838
74.4%
ASCII 2352
 
25.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1654
24.2%
301
 
4.4%
286
 
4.2%
277
 
4.1%
256
 
3.7%
243
 
3.6%
243
 
3.6%
233
 
3.4%
212
 
3.1%
211
 
3.1%
Other values (51) 2922
42.7%
ASCII
ValueCountFrequency (%)
, 1133
48.2%
1133
48.2%
? 86
 
3.7%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0
450 
<NA>
272 

Length

Max length4
Median length1
Mean length2.1301939
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 450
62.3%
<NA> 272
37.7%

Length

2024-05-11T02:09:57.573062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:09:58.004287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 450
62.3%
na 272
37.7%

구급차일반
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0
450 
<NA>
272 

Length

Max length4
Median length1
Mean length2.1301939
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 450
62.3%
<NA> 272
37.7%

Length

2024-05-11T02:09:58.418756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:09:58.851128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 450
62.3%
na 272
37.7%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0
450 
<NA>
272 

Length

Max length4
Median length1
Mean length2.1301939
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 450
62.3%
<NA> 272
37.7%

Length

2024-05-11T02:09:59.159220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:09:59.452555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 450
62.3%
na 272
37.7%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing722
Missing (%)100.0%
Memory size6.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03030000PHMA11958303003304110000119580522<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2286-7000<NA>133880서울특별시 성동구 홍익동 16번지 15호서울특별시 성동구 마장로23길 10 (홍익동)4706서울특별시성동구보건소2017-09-05 18:39:10I2018-08-31 23:59:59.0보건소202855.87575451644.310833보건소8003046.2601보건소<NA><NA><NA>00<NA><NA>0<NA>
13030000PHMA11965303003304110000119650830<NA>3폐업3폐업20161031<NA><NA><NA>02-2293-3244<NA>133881서울특별시 성동구 홍익동 396번지서울특별시 성동구 무학로 20 (홍익동)4707김원자산부인과의원2016-11-03 16:00:53I2018-08-31 23:59:59.0의원202608.886426451507.136275의원1040.0110산부인과<NA><NA><NA>00<NA><NA>0<NA>
23030000PHMA11965303003304110000219650926<NA>3폐업3폐업20071214<NA><NA><NA><NA><NA><NA>서울특별시 성동구 금호동1가 1787번지 2호<NA><NA>최일외과의원2008-12-09 13:39:57I2018-08-31 23:59:59.0의원<NA><NA>의원1000.0104외과<NA><NA><NA>00<NA><NA>0<NA>
33030000PHMA11966303003304110000119660608<NA>3폐업3폐업20190406<NA><NA><NA>02-2292-5902<NA><NA>서울특별시 성동구 마장동 568번지 1호서울특별시 성동구 고산자로 331 (마장동)4705동원한의원2019-04-12 09:15:34U2019-04-14 02:40:00.0한의원203206.080956451876.144214한의원1000.0308침구과<NA><NA><NA>00<NA><NA>0<NA>
43030000PHMA11969303003304110000119691030<NA>3폐업3폐업20140203<NA><NA><NA>02-2293-0522<NA><NA>서울특별시 성동구 행당1동 243번지 1호서울특별시 성동구 고산자로12길 2 (행당동)133867성제국한의원2014-02-03 15:49:31I2018-08-31 23:59:59.0한의원203000.641309450881.93134한의원1000.0308침구과<NA><NA><NA>00<NA><NA>0<NA>
53030000PHMA11969303003304110000219691212<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2299-3652<NA><NA>서울특별시 성동구 금호1가동 125번지 1호서울특별시 성동구 행당로 1 (금호동1가)4721민생한의원2017-11-20 17:11:57I2018-08-31 23:59:59.0한의원201725.507829450286.30617한의원1000.0308침구과<NA><NA><NA>00<NA><NA>0<NA>
63030000PHMA11970303003304110000119700702<NA>3폐업3폐업20090327<NA><NA><NA>02-2238-9646<NA><NA>서울특별시 성동구 금호2가동 933번지<NA><NA>현대의원2009-03-30 08:53:33I2018-08-31 23:59:59.0의원<NA><NA>의원1000.0110산부인과<NA><NA><NA>00<NA><NA>0<NA>
73030000PHMA11970303003304110000219701001<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2293-1571<NA>133865서울특별시 성동구 행당동 140번지 레몬프라자 2층 201호서울특별시 성동구 고산자로6길 40, 2층 201호 (행당동, 레몬프라자)4745한상일의원2021-07-02 00:43:18U2021-07-04 02:40:00.0의원203071.959181450665.532604의원100120.6104외과<NA><NA><NA>00<NA><NA>0<NA>
83030000PHMA11970303003304110000319701027<NA>3폐업3폐업20111007<NA><NA><NA>02-2293-9519<NA><NA>서울특별시 성동구 도선동 45번지<NA><NA>명치과의원2011-10-07 16:54:49I2018-08-31 23:59:59.0치과의원<NA><NA>치과의원1000.0401치과<NA><NA><NA>00<NA><NA>0<NA>
93030000PHMA11971303003304110000119710806<NA>3폐업3폐업20120717<NA><NA><NA>02-2292-9990<NA><NA>서울특별시 성동구 행당1동 286번지 55호<NA><NA>김안과의원2012-07-17 17:24:49I2018-08-31 23:59:59.0의원<NA><NA>의원1000.0112안과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
7123030000PHMA1202430300330411000052024-02-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2256-7555<NA><NA>서울특별시 성동구 금호동3가 421 1층서울특별시 성동구 장터길 49, 1층 (금호동3가)4730금남경희한의원2024-02-14 09:01:33U2023-12-01 23:06:00.0한의원201820.278691449569.803087<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7133030000PHMA1202430300330411000062024-02-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-466-3669<NA><NA>서울특별시 성동구 성수동2가 314-5 S TOWER서울특별시 성동구 아차산로 92, S TOWER 10층 (성수동2가)4782서울올업피부과의원2024-02-29 17:31:15U2023-12-03 00:02:00.0의원204727.717641449179.325706<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7143030000PHMA1202430300330411000072024-02-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2138-0543<NA><NA>서울특별시 성동구 성수동1가 14-35 MILK서울특별시 성동구 상원길 26, MILK 2층 (성수동1가)4779아이리스피부과의원2024-02-12 00:13:38U2023-12-01 23:04:00.0의원204278.005501449336.71561<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7153030000PHMA1202430300330411000082024-03-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2138-2675<NA><NA>서울특별시 성동구 금호동3가 1331 두산아파트 상가동 303호서울특별시 성동구 동호로 102, 두산아파트 상가동 303호 (금호동3가)4724베스트서울이비인후과의원2024-03-18 11:18:13U2023-12-02 22:00:00.0의원201383.02371449744.280482<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7163030000PHMA1202430300330411000092024-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6953-8075<NA><NA>서울특별시 성동구 성수동1가 656-1112 DS빌딩서울특별시 성동구 아차산로 15-8, DS빌딩 4층 (성수동1가)4789서울척척정형외과의원2024-03-28 20:43:32U2023-12-02 21:00:00.0의원204011.949172449517.431056<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7173030000PHMA1202430300330411000102024-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-498-8777<NA><NA>서울특별시 성동구 성수동2가 300-1 삼진빌딩서울특별시 성동구 아차산로 113, 삼진빌딩 401호 (성수동2가)4794피어라산부인과의원2024-04-05 03:13:36U2023-12-04 00:07:00.0의원204966.098616449159.45278<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7183030000PHMA1202430300330411000112024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2298-8280<NA><NA>서울특별시 성동구 옥수동 262-1서울특별시 성동구 독서당로 202, 2층 203호,204호 (옥수동)4734스페이스피부과의원2024-04-19 01:43:29U2023-12-03 22:01:00.0의원201110.397045448968.795349<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7193030000PHMA1202430300330411000122024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동1가 22-25서울특별시 성동구 상원1길 5, 3층 (성수동1가)4779소수의원2024-04-26 03:13:33U2023-12-03 22:08:00.0의원204274.991718449138.848328<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7203030000PHMA1202430300330411000132024-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-468-7179<NA><NA>서울특별시 성동구 성수동2가 300-1 삼진빌딩서울특별시 성동구 아차산로 113, 삼진빌딩 4층 403호 (성수동2가)4794성수멜팅의원2024-05-03 04:43:31U2023-12-05 00:05:00.0의원204966.098616449159.45278<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7213030000PHMA1202430300330411000142024-05-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2291-8687<NA><NA>서울특별시 성동구 금호동4가 559 6층서울특별시 성동구 독서당로 300, 6층 (금호동4가)4737금호퀸산부인과의원2024-05-08 18:42:49I2023-12-04 23:00:00.0의원201886.383803449529.945529<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>