Overview

Dataset statistics

Number of variables41
Number of observations1195
Missing cells17738
Missing cells (%)36.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory407.4 KiB
Average record size in memory349.1 B

Variable types

Categorical12
Text9
DateTime6
Unsupported9
Numeric5

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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-16215/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (53.3%)Imbalance
영업상태명 is highly imbalanced (53.3%)Imbalance
상세영업상태코드 is highly imbalanced (53.3%)Imbalance
상세영업상태명 is highly imbalanced (53.3%)Imbalance
입원실수 is highly imbalanced (58.7%)Imbalance
인허가취소일자 has 1195 (100.0%) missing valuesMissing
폐업일자 has 578 (48.4%) missing valuesMissing
휴업시작일자 has 1175 (98.3%) missing valuesMissing
휴업종료일자 has 1175 (98.3%) missing valuesMissing
재개업일자 has 1195 (100.0%) missing valuesMissing
전화번호 has 30 (2.5%) missing valuesMissing
소재지면적 has 1195 (100.0%) missing valuesMissing
소재지우편번호 has 473 (39.6%) missing valuesMissing
지번주소 has 30 (2.5%) missing valuesMissing
도로명주소 has 338 (28.3%) missing valuesMissing
도로명우편번호 has 356 (29.8%) missing valuesMissing
좌표정보(X) has 339 (28.4%) missing valuesMissing
좌표정보(Y) has 339 (28.4%) missing valuesMissing
의료인수 has 430 (36.0%) missing valuesMissing
병상수 has 430 (36.0%) missing valuesMissing
총면적 has 430 (36.0%) missing valuesMissing
진료과목내용 has 430 (36.0%) missing valuesMissing
진료과목내용명 has 430 (36.0%) missing valuesMissing
지정취소일자 has 1195 (100.0%) missing valuesMissing
완화의료지정형태 has 1195 (100.0%) missing valuesMissing
완화의료담당부서명 has 1195 (100.0%) missing valuesMissing
총인원 has 1195 (100.0%) missing valuesMissing
구조사수 has 1195 (100.0%) missing valuesMissing
최초지정일자 has 1195 (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
의료인수 has 199 (16.7%) zerosZeros
병상수 has 747 (62.5%) zerosZeros

Reproduction

Analysis started2024-05-11 01:33:24.447595
Analysis finished2024-05-11 01:33:28.200733
Duration3.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
3010000
1195 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 1195
100.0%

Length

2024-05-11T01:33:28.432986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:28.878069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 1195
100.0%

관리번호
Text

UNIQUE 

Distinct1195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2024-05-11T01:33:29.651812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters29875
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

Unique1195 ?
Unique (%)100.0%

Sample

1st rowPHMA119643010033041100001
2nd rowPHMA119643010033041100002
3rd rowPHMA119653010033041100001
4th rowPHMA119653010033041100002
5th rowPHMA119653010033041100003
ValueCountFrequency (%)
phma119643010033041100001 1
 
0.1%
phma120113010033041100009 1
 
0.1%
phma120113010033041100007 1
 
0.1%
phma120113010033041100006 1
 
0.1%
phma120113010033041100005 1
 
0.1%
phma120113010033041100003 1
 
0.1%
phma120113010033041100002 1
 
0.1%
phma120113010033041100001 1
 
0.1%
phma120103010033041100054 1
 
0.1%
phma120103010033041100053 1
 
0.1%
Other values (1185) 1185
99.2%
2024-05-11T01:33:31.337466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10413
34.9%
1 5935
19.9%
3 3967
 
13.3%
4 1521
 
5.1%
2 1518
 
5.1%
P 1195
 
4.0%
H 1195
 
4.0%
M 1195
 
4.0%
A 1195
 
4.0%
9 608
 
2.0%
Other values (4) 1133
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25095
84.0%
Uppercase Letter 4780
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10413
41.5%
1 5935
23.7%
3 3967
 
15.8%
4 1521
 
6.1%
2 1518
 
6.0%
9 608
 
2.4%
5 310
 
1.2%
6 286
 
1.1%
7 283
 
1.1%
8 254
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
P 1195
25.0%
H 1195
25.0%
M 1195
25.0%
A 1195
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25095
84.0%
Latin 4780
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10413
41.5%
1 5935
23.7%
3 3967
 
15.8%
4 1521
 
6.1%
2 1518
 
6.0%
9 608
 
2.4%
5 310
 
1.2%
6 286
 
1.1%
7 283
 
1.1%
8 254
 
1.0%
Latin
ValueCountFrequency (%)
P 1195
25.0%
H 1195
25.0%
M 1195
25.0%
A 1195
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29875
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10413
34.9%
1 5935
19.9%
3 3967
 
13.3%
4 1521
 
5.1%
2 1518
 
5.1%
P 1195
 
4.0%
H 1195
 
4.0%
M 1195
 
4.0%
A 1195
 
4.0%
9 608
 
2.0%
Other values (4) 1133
 
3.8%
Distinct1070
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
Minimum1964-06-07 00:00:00
Maximum2024-04-18 00:00:00
2024-05-11T01:33:31.957697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:33:32.505872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
3
612 
1
571 
4
 
5
2
 
5
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 612
51.2%
1 571
47.8%
4 5
 
0.4%
2 5
 
0.4%
5 2
 
0.2%

Length

2024-05-11T01:33:33.096290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:33.510922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 612
51.2%
1 571
47.8%
4 5
 
0.4%
2 5
 
0.4%
5 2
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
폐업
612 
영업/정상
571 
취소/말소/만료/정지/중지
 
5
휴업
 
5
제외/삭제/전출
 
2

Length

Max length14
Median length2
Mean length3.4937238
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 612
51.2%
영업/정상 571
47.8%
취소/말소/만료/정지/중지 5
 
0.4%
휴업 5
 
0.4%
제외/삭제/전출 2
 
0.2%

Length

2024-05-11T01:33:33.953886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:34.278725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 612
51.2%
영업/정상 571
47.8%
취소/말소/만료/정지/중지 5
 
0.4%
휴업 5
 
0.4%
제외/삭제/전출 2
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
3
612 
13
571 
24
 
5
2
 
5
15
 
2

Length

Max length2
Median length1
Mean length1.483682
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 612
51.2%
13 571
47.8%
24 5
 
0.4%
2 5
 
0.4%
15 2
 
0.2%

Length

2024-05-11T01:33:34.766063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:35.099204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 612
51.2%
13 571
47.8%
24 5
 
0.4%
2 5
 
0.4%
15 2
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
폐업
612 
영업중
571 
직권폐업
 
5
휴업
 
5
전출
 
2

Length

Max length4
Median length2
Mean length2.4861925
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 612
51.2%
영업중 571
47.8%
직권폐업 5
 
0.4%
휴업 5
 
0.4%
전출 2
 
0.2%

Length

2024-05-11T01:33:35.460676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:35.877273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 612
51.2%
영업중 571
47.8%
직권폐업 5
 
0.4%
휴업 5
 
0.4%
전출 2
 
0.2%

폐업일자
Date

MISSING 

Distinct561
Distinct (%)90.9%
Missing578
Missing (%)48.4%
Memory size9.5 KiB
Minimum1998-12-04 00:00:00
Maximum2067-06-20 00:00:00
2024-05-11T01:33:36.436628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:33:36.937096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct20
Distinct (%)100.0%
Missing1175
Missing (%)98.3%
Memory size9.5 KiB
Minimum2008-08-08 00:00:00
Maximum2024-03-26 00:00:00
2024-05-11T01:33:37.286685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:33:37.814932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

휴업종료일자
Date

MISSING 

Distinct20
Distinct (%)100.0%
Missing1175
Missing (%)98.3%
Memory size9.5 KiB
Minimum2008-12-31 00:00:00
Maximum2028-11-23 00:00:00
2024-05-11T01:33:38.192658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:33:38.527961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

전화번호
Text

MISSING 

Distinct1085
Distinct (%)93.1%
Missing30
Missing (%)2.5%
Memory size9.5 KiB
2024-05-11T01:33:39.228034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length9.7321888
Min length8

Characters and Unicode

Total characters11338
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1019 ?
Unique (%)87.5%

Sample

1st row2252-4027
2nd row268-0300
3rd row752-8471
4th row752-3398
5th row752-0017
ValueCountFrequency (%)
2268-3174 5
 
0.4%
757-7906 4
 
0.3%
2231-2121 4
 
0.3%
2268-7582 3
 
0.3%
02-318-8803 3
 
0.3%
02-757-7582 3
 
0.3%
757-7582 3
 
0.3%
2235-3300 3
 
0.3%
2278-1963 3
 
0.3%
755-0882 3
 
0.3%
Other values (1074) 1131
97.1%
2024-05-11T01:33:40.285697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2317
20.4%
- 1538
13.6%
7 1479
13.0%
0 1166
10.3%
5 1026
9.0%
3 962
8.5%
8 830
 
7.3%
1 589
 
5.2%
6 566
 
5.0%
9 457
 
4.0%
Other values (5) 408
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9792
86.4%
Dash Punctuation 1538
 
13.6%
Other Punctuation 4
 
< 0.1%
Math Symbol 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2317
23.7%
7 1479
15.1%
0 1166
11.9%
5 1026
10.5%
3 962
9.8%
8 830
 
8.5%
1 589
 
6.0%
6 566
 
5.8%
9 457
 
4.7%
4 400
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 1538
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11338
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2317
20.4%
- 1538
13.6%
7 1479
13.0%
0 1166
10.3%
5 1026
9.0%
3 962
8.5%
8 830
 
7.3%
1 589
 
5.2%
6 566
 
5.0%
9 457
 
4.0%
Other values (5) 408
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11338
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2317
20.4%
- 1538
13.6%
7 1479
13.0%
0 1166
10.3%
5 1026
9.0%
3 962
8.5%
8 830
 
7.3%
1 589
 
5.2%
6 566
 
5.0%
9 457
 
4.0%
Other values (5) 408
 
3.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

소재지우편번호
Text

MISSING 

Distinct297
Distinct (%)41.1%
Missing473
Missing (%)39.6%
Memory size9.5 KiB
2024-05-11T01:33:41.088526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.8213296
Min length3

Characters and Unicode

Total characters3481
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 (%)21.5%

Sample

1st row880
2nd row100851
3rd row100053
4th row876
5th row080
ValueCountFrequency (%)
100861 15
 
2.1%
810 12
 
1.7%
100819 12
 
1.7%
845 12
 
1.7%
011 11
 
1.5%
100810 10
 
1.4%
100021 10
 
1.4%
100272 10
 
1.4%
819 10
 
1.4%
021 10
 
1.4%
Other values (287) 610
84.5%
2024-05-11T01:33:42.323168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1170
33.6%
1 729
20.9%
8 447
 
12.8%
4 223
 
6.4%
2 178
 
5.1%
7 170
 
4.9%
5 134
 
3.8%
3 129
 
3.7%
9 119
 
3.4%
6 115
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3414
98.1%
Dash Punctuation 67
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1170
34.3%
1 729
21.4%
8 447
 
13.1%
4 223
 
6.5%
2 178
 
5.2%
7 170
 
5.0%
5 134
 
3.9%
3 129
 
3.8%
9 119
 
3.5%
6 115
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3481
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1170
33.6%
1 729
20.9%
8 447
 
12.8%
4 223
 
6.4%
2 178
 
5.1%
7 170
 
4.9%
5 134
 
3.8%
3 129
 
3.7%
9 119
 
3.4%
6 115
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3481
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1170
33.6%
1 729
20.9%
8 447
 
12.8%
4 223
 
6.4%
2 178
 
5.1%
7 170
 
4.9%
5 134
 
3.8%
3 129
 
3.7%
9 119
 
3.4%
6 115
 
3.3%

지번주소
Text

MISSING 

Distinct1071
Distinct (%)91.9%
Missing30
Missing (%)2.5%
Memory size9.5 KiB
2024-05-11T01:33:42.977525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length40
Mean length23.361373
Min length6

Characters and Unicode

Total characters27216
Distinct characters328
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique994 ?
Unique (%)85.3%

Sample

1st row흥인동 109
2nd row서울특별시 중구 을지로6가 18번지 16호
3rd row서울특별시 중구 4번지 5호
4th row회현동2가 6-11
5th row북창동 12-1
ValueCountFrequency (%)
중구 859
 
14.9%
서울특별시 858
 
14.9%
신당동 164
 
2.8%
2층 148
 
2.6%
3층 106
 
1.8%
충무로2가 61
 
1.1%
1호 60
 
1.0%
4층 59
 
1.0%
명동2가 55
 
1.0%
충무로1가 46
 
0.8%
Other values (1309) 3352
58.1%
2024-05-11T01:33:44.188757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4691
 
17.2%
1 1295
 
4.8%
2 1165
 
4.3%
926
 
3.4%
889
 
3.3%
881
 
3.2%
3 878
 
3.2%
871
 
3.2%
860
 
3.2%
859
 
3.2%
Other values (318) 13901
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15302
56.2%
Decimal Number 6162
22.6%
Space Separator 4691
 
17.2%
Dash Punctuation 513
 
1.9%
Uppercase Letter 173
 
0.6%
Lowercase Letter 103
 
0.4%
Other Punctuation 90
 
0.3%
Open Punctuation 82
 
0.3%
Close Punctuation 82
 
0.3%
Math Symbol 17
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
926
 
6.1%
889
 
5.8%
881
 
5.8%
871
 
5.7%
860
 
5.6%
859
 
5.6%
858
 
5.6%
796
 
5.2%
760
 
5.0%
648
 
4.2%
Other values (260) 6954
45.4%
Uppercase Letter
ValueCountFrequency (%)
A 20
11.6%
J 15
 
8.7%
E 15
 
8.7%
N 14
 
8.1%
B 13
 
7.5%
C 12
 
6.9%
T 11
 
6.4%
Y 9
 
5.2%
K 8
 
4.6%
L 8
 
4.6%
Other values (12) 48
27.7%
Lowercase Letter
ValueCountFrequency (%)
e 26
25.2%
a 10
 
9.7%
o 10
 
9.7%
r 9
 
8.7%
n 9
 
8.7%
t 8
 
7.8%
s 6
 
5.8%
d 4
 
3.9%
g 4
 
3.9%
u 4
 
3.9%
Other values (5) 13
12.6%
Decimal Number
ValueCountFrequency (%)
1 1295
21.0%
2 1165
18.9%
3 878
14.2%
5 559
9.1%
4 510
 
8.3%
6 436
 
7.1%
0 418
 
6.8%
9 325
 
5.3%
7 292
 
4.7%
8 284
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 83
92.2%
& 3
 
3.3%
. 3
 
3.3%
/ 1
 
1.1%
Math Symbol
ValueCountFrequency (%)
~ 16
94.1%
1
 
5.9%
Space Separator
ValueCountFrequency (%)
4691
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 513
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15302
56.2%
Common 11637
42.8%
Latin 277
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
926
 
6.1%
889
 
5.8%
881
 
5.8%
871
 
5.7%
860
 
5.6%
859
 
5.6%
858
 
5.6%
796
 
5.2%
760
 
5.0%
648
 
4.2%
Other values (260) 6954
45.4%
Latin
ValueCountFrequency (%)
e 26
 
9.4%
A 20
 
7.2%
J 15
 
5.4%
E 15
 
5.4%
N 14
 
5.1%
B 13
 
4.7%
C 12
 
4.3%
T 11
 
4.0%
a 10
 
3.6%
o 10
 
3.6%
Other values (28) 131
47.3%
Common
ValueCountFrequency (%)
4691
40.3%
1 1295
 
11.1%
2 1165
 
10.0%
3 878
 
7.5%
5 559
 
4.8%
- 513
 
4.4%
4 510
 
4.4%
6 436
 
3.7%
0 418
 
3.6%
9 325
 
2.8%
Other values (10) 847
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15302
56.2%
ASCII 11912
43.8%
Math Operators 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4691
39.4%
1 1295
 
10.9%
2 1165
 
9.8%
3 878
 
7.4%
5 559
 
4.7%
- 513
 
4.3%
4 510
 
4.3%
6 436
 
3.7%
0 418
 
3.5%
9 325
 
2.7%
Other values (46) 1122
 
9.4%
Hangul
ValueCountFrequency (%)
926
 
6.1%
889
 
5.8%
881
 
5.8%
871
 
5.7%
860
 
5.6%
859
 
5.6%
858
 
5.6%
796
 
5.2%
760
 
5.0%
648
 
4.2%
Other values (260) 6954
45.4%
Math Operators
ValueCountFrequency (%)
1
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct811
Distinct (%)94.6%
Missing338
Missing (%)28.3%
Memory size9.5 KiB
2024-05-11T01:33:44.936408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length51
Mean length33.092182
Min length20

Characters and Unicode

Total characters28360
Distinct characters336
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

Unique773 ?
Unique (%)90.2%

Sample

1st row서울특별시 중구 장충단로 275 (을지로6가)
2nd row서울특별시 중구 퇴계로16길 14-11 (회현동3가)
3rd row서울특별시 중구 충무로 46 (초동)
4th row서울특별시 중구 세종대로 18 (남대문로5가)
5th row서울특별시 중구 명동길 49 (명동1가)
ValueCountFrequency (%)
서울특별시 857
 
14.9%
중구 857
 
14.9%
신당동 173
 
3.0%
2층 166
 
2.9%
퇴계로 161
 
2.8%
3층 130
 
2.3%
다산로 85
 
1.5%
4층 75
 
1.3%
5층 59
 
1.0%
을지로 53
 
0.9%
Other values (937) 3147
54.6%
2024-05-11T01:33:46.299653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4909
 
17.3%
, 1160
 
4.1%
1042
 
3.7%
974
 
3.4%
1 959
 
3.4%
890
 
3.1%
880
 
3.1%
878
 
3.1%
( 872
 
3.1%
) 872
 
3.1%
Other values (326) 14924
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15697
55.3%
Space Separator 4909
 
17.3%
Decimal Number 4466
 
15.7%
Other Punctuation 1163
 
4.1%
Open Punctuation 872
 
3.1%
Close Punctuation 872
 
3.1%
Uppercase Letter 166
 
0.6%
Lowercase Letter 103
 
0.4%
Dash Punctuation 85
 
0.3%
Math Symbol 27
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1042
 
6.6%
974
 
6.2%
890
 
5.7%
880
 
5.6%
878
 
5.6%
862
 
5.5%
859
 
5.5%
857
 
5.5%
785
 
5.0%
683
 
4.4%
Other values (271) 6987
44.5%
Uppercase Letter
ValueCountFrequency (%)
A 20
12.0%
B 16
 
9.6%
J 16
 
9.6%
E 15
 
9.0%
N 14
 
8.4%
C 12
 
7.2%
T 9
 
5.4%
K 9
 
5.4%
Y 8
 
4.8%
L 7
 
4.2%
Other values (12) 40
24.1%
Lowercase Letter
ValueCountFrequency (%)
e 26
25.2%
o 10
 
9.7%
a 10
 
9.7%
n 9
 
8.7%
r 9
 
8.7%
t 8
 
7.8%
s 6
 
5.8%
d 4
 
3.9%
g 4
 
3.9%
u 4
 
3.9%
Other values (5) 13
12.6%
Decimal Number
ValueCountFrequency (%)
1 959
21.5%
2 859
19.2%
3 597
13.4%
4 439
9.8%
0 428
9.6%
5 312
 
7.0%
6 268
 
6.0%
7 228
 
5.1%
8 200
 
4.5%
9 176
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 1160
99.7%
& 3
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 26
96.3%
1
 
3.7%
Space Separator
ValueCountFrequency (%)
4909
100.0%
Open Punctuation
ValueCountFrequency (%)
( 872
100.0%
Close Punctuation
ValueCountFrequency (%)
) 872
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15697
55.3%
Common 12394
43.7%
Latin 269
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1042
 
6.6%
974
 
6.2%
890
 
5.7%
880
 
5.6%
878
 
5.6%
862
 
5.5%
859
 
5.5%
857
 
5.5%
785
 
5.0%
683
 
4.4%
Other values (271) 6987
44.5%
Latin
ValueCountFrequency (%)
e 26
 
9.7%
A 20
 
7.4%
B 16
 
5.9%
J 16
 
5.9%
E 15
 
5.6%
N 14
 
5.2%
C 12
 
4.5%
o 10
 
3.7%
a 10
 
3.7%
T 9
 
3.3%
Other values (27) 121
45.0%
Common
ValueCountFrequency (%)
4909
39.6%
, 1160
 
9.4%
1 959
 
7.7%
( 872
 
7.0%
) 872
 
7.0%
2 859
 
6.9%
3 597
 
4.8%
4 439
 
3.5%
0 428
 
3.5%
5 312
 
2.5%
Other values (8) 987
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15697
55.3%
ASCII 12662
44.6%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4909
38.8%
, 1160
 
9.2%
1 959
 
7.6%
( 872
 
6.9%
) 872
 
6.9%
2 859
 
6.8%
3 597
 
4.7%
4 439
 
3.5%
0 428
 
3.4%
5 312
 
2.5%
Other values (44) 1255
 
9.9%
Hangul
ValueCountFrequency (%)
1042
 
6.6%
974
 
6.2%
890
 
5.7%
880
 
5.6%
878
 
5.6%
862
 
5.5%
859
 
5.5%
857
 
5.5%
785
 
5.0%
683
 
4.4%
Other values (271) 6987
44.5%
Math Operators
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Text

MISSING 

Distinct163
Distinct (%)19.4%
Missing356
Missing (%)29.8%
Memory size9.5 KiB
2024-05-11T01:33:46.994825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1120381
Min length5

Characters and Unicode

Total characters4289
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

Unique52 ?
Unique (%)6.2%

Sample

1st row100053
2nd row100300
3rd row04527
4th row100021
5th row04558
ValueCountFrequency (%)
04536 46
 
5.5%
04534 27
 
3.2%
04537 24
 
2.9%
04529 23
 
2.7%
04597 22
 
2.6%
04598 20
 
2.4%
04578 20
 
2.4%
04520 19
 
2.3%
04514 18
 
2.1%
04631 18
 
2.1%
Other values (153) 602
71.8%
2024-05-11T01:33:48.492237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1079
25.2%
4 899
21.0%
5 770
18.0%
1 312
 
7.3%
6 274
 
6.4%
3 243
 
5.7%
2 195
 
4.5%
7 182
 
4.2%
8 170
 
4.0%
9 164
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4288
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1079
25.2%
4 899
21.0%
5 770
18.0%
1 312
 
7.3%
6 274
 
6.4%
3 243
 
5.7%
2 195
 
4.5%
7 182
 
4.2%
8 170
 
4.0%
9 164
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4289
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1079
25.2%
4 899
21.0%
5 770
18.0%
1 312
 
7.3%
6 274
 
6.4%
3 243
 
5.7%
2 195
 
4.5%
7 182
 
4.2%
8 170
 
4.0%
9 164
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4289
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1079
25.2%
4 899
21.0%
5 770
18.0%
1 312
 
7.3%
6 274
 
6.4%
3 243
 
5.7%
2 195
 
4.5%
7 182
 
4.2%
8 170
 
4.0%
9 164
 
3.8%
Distinct1127
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2024-05-11T01:33:49.144613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length7.3782427
Min length3

Characters and Unicode

Total characters8817
Distinct characters432
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1064 ?
Unique (%)89.0%

Sample

1st row이동우외과
2nd row신덕수치과의원
3rd row중화한의원
4th row배원식한의원
5th row유용갑치과의원
ValueCountFrequency (%)
연세이비인후과의원 3
 
0.2%
베데스다한의원 3
 
0.2%
다오의원 3
 
0.2%
송도치과의원 3
 
0.2%
서울아랑치과의원 3
 
0.2%
늘푸른의원 3
 
0.2%
의료법인 3
 
0.2%
케이(k)의원 2
 
0.2%
리더스의원 2
 
0.2%
연세미치과의원 2
 
0.2%
Other values (1145) 1209
97.8%
2024-05-11T01:33:50.463331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1281
 
14.5%
1218
 
13.8%
730
 
8.3%
424
 
4.8%
262
 
3.0%
166
 
1.9%
112
 
1.3%
94
 
1.1%
94
 
1.1%
92
 
1.0%
Other values (422) 4344
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8660
98.2%
Space Separator 42
 
0.5%
Close Punctuation 28
 
0.3%
Uppercase Letter 27
 
0.3%
Open Punctuation 24
 
0.3%
Decimal Number 19
 
0.2%
Lowercase Letter 13
 
0.1%
Dash Punctuation 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1281
 
14.8%
1218
 
14.1%
730
 
8.4%
424
 
4.9%
262
 
3.0%
166
 
1.9%
112
 
1.3%
94
 
1.1%
94
 
1.1%
92
 
1.1%
Other values (394) 4187
48.3%
Uppercase Letter
ValueCountFrequency (%)
S 5
18.5%
B 4
14.8%
K 4
14.8%
M 3
11.1%
O 3
11.1%
J 3
11.1%
N 2
 
7.4%
A 1
 
3.7%
W 1
 
3.7%
V 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
3 4
21.1%
5 4
21.1%
6 4
21.1%
1 2
10.5%
0 2
10.5%
8 1
 
5.3%
2 1
 
5.3%
4 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
e 9
69.2%
n 1
 
7.7%
w 1
 
7.7%
r 1
 
7.7%
v 1
 
7.7%
Space Separator
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8659
98.2%
Common 117
 
1.3%
Latin 40
 
0.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1281
 
14.8%
1218
 
14.1%
730
 
8.4%
424
 
4.9%
262
 
3.0%
166
 
1.9%
112
 
1.3%
94
 
1.1%
94
 
1.1%
92
 
1.1%
Other values (393) 4186
48.3%
Latin
ValueCountFrequency (%)
e 9
22.5%
S 5
12.5%
B 4
10.0%
K 4
10.0%
M 3
 
7.5%
O 3
 
7.5%
J 3
 
7.5%
N 2
 
5.0%
n 1
 
2.5%
w 1
 
2.5%
Other values (5) 5
12.5%
Common
ValueCountFrequency (%)
42
35.9%
) 28
23.9%
( 24
20.5%
3 4
 
3.4%
5 4
 
3.4%
6 4
 
3.4%
- 3
 
2.6%
1 2
 
1.7%
0 2
 
1.7%
8 1
 
0.9%
Other values (3) 3
 
2.6%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8659
98.2%
ASCII 157
 
1.8%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1281
 
14.8%
1218
 
14.1%
730
 
8.4%
424
 
4.9%
262
 
3.0%
166
 
1.9%
112
 
1.3%
94
 
1.1%
94
 
1.1%
92
 
1.1%
Other values (393) 4186
48.3%
ASCII
ValueCountFrequency (%)
42
26.8%
) 28
17.8%
( 24
15.3%
e 9
 
5.7%
S 5
 
3.2%
3 4
 
2.5%
B 4
 
2.5%
5 4
 
2.5%
6 4
 
2.5%
K 4
 
2.5%
Other values (18) 29
18.5%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct977
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
Minimum2008-12-06 13:14:49
Maximum2024-05-09 23:43:16
2024-05-11T01:33:51.013605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:33:51.611212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
U
664 
I
531 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 664
55.6%
I 531
44.4%

Length

2024-05-11T01:33:52.088374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:52.532681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 664
55.6%
i 531
44.4%
Distinct297
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T01:33:52.988339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:33:53.544184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
의원
561 
치과의원
417 
한의원
216 
보건소
 
1

Length

Max length4
Median length3
Mean length2.8794979
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 561
46.9%
치과의원 417
34.9%
한의원 216
 
18.1%
보건소 1
 
0.1%

Length

2024-05-11T01:33:54.076295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:54.666388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 561
46.9%
치과의원 417
34.9%
한의원 216
 
18.1%
보건소 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct465
Distinct (%)54.3%
Missing339
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean199319.69
Minimum196691.27
Maximum202131.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-05-11T01:33:55.229279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196691.27
5-th percentile197503.14
Q1198126.5
median198737.55
Q3200801.38
95-th percentile201726.81
Maximum202131.75
Range5440.4771
Interquartile range (IQR)2674.8741

Descriptive statistics

Standard deviation1442.2608
Coefficient of variation (CV)0.0072359175
Kurtosis-1.2167722
Mean199319.69
Median Absolute Deviation (MAD)972.11904
Skewness0.3201403
Sum1.7061766 × 108
Variance2080116.4
MonotonicityNot monotonic
2024-05-11T01:33:55.870203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198636.2503948 15
 
1.3%
198504.71050756 10
 
0.8%
201866.039519433 10
 
0.8%
201334.779915273 8
 
0.7%
198617.56275615 8
 
0.7%
197612.995083649 8
 
0.7%
198495.752148427 8
 
0.7%
200750.455125653 8
 
0.7%
198126.501924718 6
 
0.5%
198773.98707315 6
 
0.5%
Other values (455) 769
64.4%
(Missing) 339
28.4%
ValueCountFrequency (%)
196691.269917831 2
0.2%
196697.116895888 1
0.1%
196700.114201277 1
0.1%
196711.099340642 1
0.1%
196713.052052044 1
0.1%
196746.506418769 1
0.1%
196757.196489998 1
0.1%
196772.112495741 1
0.1%
196792.629308816 1
0.1%
196864.942838297 2
0.2%
ValueCountFrequency (%)
202131.747052459 2
0.2%
202128.136971071 1
 
0.1%
202054.715963905 2
0.2%
201992.413564529 2
0.2%
201978.359014791 2
0.2%
201962.76537651 1
 
0.1%
201947.084297972 2
0.2%
201929.950414626 3
0.3%
201887.906626923 1
 
0.1%
201872.60639746 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct465
Distinct (%)54.3%
Missing339
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean451110.31
Minimum449638.82
Maximum452076.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-05-11T01:33:56.588089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449638.82
5-th percentile450191.71
Q1450896.75
median451181.66
Q3451464.99
95-th percentile451749.55
Maximum452076.82
Range2437.9944
Interquartile range (IQR)568.23871

Descriptive statistics

Standard deviation479.45858
Coefficient of variation (CV)0.0010628411
Kurtosis0.081378094
Mean451110.31
Median Absolute Deviation (MAD)283.33345
Skewness-0.68669686
Sum3.8615043 × 108
Variance229880.53
MonotonicityNot monotonic
2024-05-11T01:33:57.206509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451005.721641592 15
 
1.3%
450963.951884949 10
 
0.8%
451543.337800303 10
 
0.8%
451413.119285557 8
 
0.7%
450922.262559512 8
 
0.7%
450539.857693464 8
 
0.7%
451241.680693735 8
 
0.7%
449638.824308081 8
 
0.7%
451827.973207366 6
 
0.5%
451070.362775791 6
 
0.5%
Other values (455) 769
64.4%
(Missing) 339
28.4%
ValueCountFrequency (%)
449638.824308081 8
0.7%
449703.239755874 1
 
0.1%
449859.454550281 1
 
0.1%
449877.44410054 1
 
0.1%
449947.401377686 1
 
0.1%
449989.938509479 1
 
0.1%
450003.889071909 1
 
0.1%
450045.798810237 1
 
0.1%
450054.005569445 1
 
0.1%
450075.37145899 5
0.4%
ValueCountFrequency (%)
452076.818664092 2
0.2%
452025.526057499 1
 
0.1%
452005.950500534 2
0.2%
452004.220606602 1
 
0.1%
451958.495584927 3
0.3%
451894.158889651 1
 
0.1%
451885.679506397 1
 
0.1%
451883.9995113 1
 
0.1%
451874.637536958 1
 
0.1%
451860.979643638 3
0.3%
Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
<NA>
430 
의원
342 
치과의원
302 
한의원
120 
보건소
 
1

Length

Max length4
Median length4
Mean length3.3263598
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 430
36.0%
의원 342
28.6%
치과의원 302
25.3%
한의원 120
 
10.0%
보건소 1
 
0.1%

Length

2024-05-11T01:33:57.712450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:58.186241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 430
36.0%
의원 342
28.6%
치과의원 302
25.3%
한의원 120
 
10.0%
보건소 1
 
0.1%

의료인수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.9%
Missing430
Missing (%)36.0%
Infinite0
Infinite (%)0.0%
Mean0.99346405
Minimum0
Maximum6
Zeros199
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-05-11T01:33:58.750732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.83835363
Coefficient of variation (CV)0.84386911
Kurtosis4.2659978
Mean0.99346405
Median Absolute Deviation (MAD)0
Skewness1.388732
Sum760
Variance0.70283681
MonotonicityNot monotonic
2024-05-11T01:33:59.112779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 420
35.1%
0 199
16.7%
2 116
 
9.7%
3 17
 
1.4%
4 9
 
0.8%
5 3
 
0.3%
6 1
 
0.1%
(Missing) 430
36.0%
ValueCountFrequency (%)
0 199
16.7%
1 420
35.1%
2 116
 
9.7%
3 17
 
1.4%
4 9
 
0.8%
5 3
 
0.3%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
5 3
 
0.3%
4 9
 
0.8%
3 17
 
1.4%
2 116
 
9.7%
1 420
35.1%
0 199
16.7%

입원실수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
0
747 
<NA>
430 
2
 
9
1
 
7
4
 
1

Length

Max length4
Median length1
Mean length2.0794979
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 747
62.5%
<NA> 430
36.0%
2 9
 
0.8%
1 7
 
0.6%
4 1
 
0.1%
3 1
 
0.1%

Length

2024-05-11T01:33:59.515217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:33:59.847815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 747
62.5%
na 430
36.0%
2 9
 
0.8%
1 7
 
0.6%
4 1
 
0.1%
3 1
 
0.1%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.8%
Missing430
Missing (%)36.0%
Infinite0
Infinite (%)0.0%
Mean0.070588235
Minimum0
Maximum6
Zeros747
Zeros (%)62.5%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-05-11T01:34:00.354171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.50674538
Coefficient of variation (CV)7.1788929
Kurtosis75.210646
Mean0.070588235
Median Absolute Deviation (MAD)0
Skewness8.2917039
Sum54
Variance0.25679088
MonotonicityNot monotonic
2024-05-11T01:34:00.761206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 747
62.5%
2 7
 
0.6%
4 5
 
0.4%
6 2
 
0.2%
1 2
 
0.2%
3 2
 
0.2%
(Missing) 430
36.0%
ValueCountFrequency (%)
0 747
62.5%
1 2
 
0.2%
2 7
 
0.6%
3 2
 
0.2%
4 5
 
0.4%
6 2
 
0.2%
ValueCountFrequency (%)
6 2
 
0.2%
4 5
 
0.4%
3 2
 
0.2%
2 7
 
0.6%
1 2
 
0.2%
0 747
62.5%

총면적
Real number (ℝ)

MISSING 

Distinct565
Distinct (%)73.9%
Missing430
Missing (%)36.0%
Infinite0
Infinite (%)0.0%
Mean124.74256
Minimum1
Maximum2560
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-05-11T01:34:01.536690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile30
Q155.76
median95.64
Q3148.5
95-th percentile301.678
Maximum2560
Range2559
Interquartile range (IQR)92.74

Descriptive statistics

Standard deviation142.95673
Coefficient of variation (CV)1.1460141
Kurtosis121.47782
Mean124.74256
Median Absolute Deviation (MAD)45.24
Skewness8.5726808
Sum95428.06
Variance20436.627
MonotonicityNot monotonic
2024-05-11T01:34:02.187697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 121
 
10.1%
87.0 5
 
0.4%
110.0 4
 
0.3%
98.31 4
 
0.3%
100.0 4
 
0.3%
158.0 4
 
0.3%
115.5 3
 
0.3%
126.0 3
 
0.3%
70.0 3
 
0.3%
147.0 3
 
0.3%
Other values (555) 611
51.1%
(Missing) 430
36.0%
ValueCountFrequency (%)
1.0 1
 
0.1%
17.0 1
 
0.1%
18.22 1
 
0.1%
18.69 1
 
0.1%
23.21 1
 
0.1%
24.75 1
 
0.1%
26.95 1
 
0.1%
27.0 1
 
0.1%
28.6 1
 
0.1%
30.0 121
10.1%
ValueCountFrequency (%)
2560.0 1
0.1%
1261.1 1
0.1%
1082.0 2
0.2%
996.74 1
0.1%
703.26 1
0.1%
546.44 1
0.1%
502.97 1
0.1%
458.48 1
0.1%
434.95 1
0.1%
431.27 1
0.1%

진료과목내용
Text

MISSING 

Distinct224
Distinct (%)29.3%
Missing430
Missing (%)36.0%
Memory size9.5 KiB
2024-05-11T01:34:02.770530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length3
Mean length10.811765
Min length3

Characters and Unicode

Total characters8271
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

Unique178 ?
Unique (%)23.3%

Sample

1st row104
2nd row401
3rd row401
4th row401
5th row122
ValueCountFrequency (%)
401 273
 
12.1%
101 153
 
6.8%
114 142
 
6.3%
301 119
 
5.3%
302 117
 
5.2%
303 116
 
5.1%
308 116
 
5.1%
108 102
 
4.5%
104 82
 
3.6%
122 79
 
3.5%
Other values (45) 960
42.5%
2024-05-11T01:34:04.020345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2051
24.8%
0 1817
22.0%
1494
18.1%
3 914
11.1%
4 869
10.5%
2 435
 
5.3%
8 252
 
3.0%
5 176
 
2.1%
6 103
 
1.2%
7 93
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6777
81.9%
Space Separator 1494
 
18.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2051
30.3%
0 1817
26.8%
3 914
13.5%
4 869
12.8%
2 435
 
6.4%
8 252
 
3.7%
5 176
 
2.6%
6 103
 
1.5%
7 93
 
1.4%
9 67
 
1.0%
Space Separator
ValueCountFrequency (%)
1494
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8271
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2051
24.8%
0 1817
22.0%
1494
18.1%
3 914
11.1%
4 869
10.5%
2 435
 
5.3%
8 252
 
3.0%
5 176
 
2.1%
6 103
 
1.2%
7 93
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8271
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2051
24.8%
0 1817
22.0%
1494
18.1%
3 914
11.1%
4 869
10.5%
2 435
 
5.3%
8 252
 
3.0%
5 176
 
2.1%
6 103
 
1.2%
7 93
 
1.1%

진료과목내용명
Text

MISSING 

Distinct168
Distinct (%)22.0%
Missing430
Missing (%)36.0%
Memory size9.5 KiB
2024-05-11T01:34:04.598172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length105
Median length103
Mean length16.045752
Min length2

Characters and Unicode

Total characters12275
Distinct characters65
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

Unique113 ?
Unique (%)14.8%

Sample

1st row외과
2nd row치과
3rd row치과
4th row치과
5th row가정의학과
ValueCountFrequency (%)
치과 274
 
12.3%
내과 153
 
6.9%
피부과 142
 
6.4%
한방내과 119
 
5.3%
한방부인과 117
 
5.3%
한방소아과 116
 
5.2%
침구과 116
 
5.2%
성형외과 102
 
4.6%
가정의학과 79
 
3.5%
외과 74
 
3.3%
Other values (34) 936
42.0%
2024-05-11T01:34:06.096639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2330
19.0%
, 1463
 
11.9%
1463
 
11.9%
554
 
4.5%
514
 
4.2%
510
 
4.2%
345
 
2.8%
304
 
2.5%
295
 
2.4%
291
 
2.4%
Other values (55) 4206
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9243
75.3%
Other Punctuation 1569
 
12.8%
Space Separator 1463
 
11.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2330
25.2%
554
 
6.0%
514
 
5.6%
510
 
5.5%
345
 
3.7%
304
 
3.3%
295
 
3.2%
291
 
3.1%
268
 
2.9%
263
 
2.8%
Other values (52) 3569
38.6%
Other Punctuation
ValueCountFrequency (%)
, 1463
93.2%
? 106
 
6.8%
Space Separator
ValueCountFrequency (%)
1463
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9243
75.3%
Common 3032
 
24.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2330
25.2%
554
 
6.0%
514
 
5.6%
510
 
5.5%
345
 
3.7%
304
 
3.3%
295
 
3.2%
291
 
3.1%
268
 
2.9%
263
 
2.8%
Other values (52) 3569
38.6%
Common
ValueCountFrequency (%)
, 1463
48.3%
1463
48.3%
? 106
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9243
75.3%
ASCII 3032
 
24.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2330
25.2%
554
 
6.0%
514
 
5.6%
510
 
5.5%
345
 
3.7%
304
 
3.3%
295
 
3.2%
291
 
3.1%
268
 
2.9%
263
 
2.8%
Other values (52) 3569
38.6%
ASCII
ValueCountFrequency (%)
, 1463
48.3%
1463
48.3%
? 106
 
3.5%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
0
765 
<NA>
430 

Length

Max length4
Median length1
Mean length2.0794979
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 765
64.0%
<NA> 430
36.0%

Length

2024-05-11T01:34:06.658246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:07.049870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 765
64.0%
na 430
36.0%

구급차일반
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
0
765 
<NA>
430 

Length

Max length4
Median length1
Mean length2.0794979
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 765
64.0%
<NA> 430
36.0%

Length

2024-05-11T01:34:07.518890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:07.871029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 765
64.0%
na 430
36.0%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
0
765 
<NA>
430 

Length

Max length4
Median length1
Mean length2.0794979
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 765
64.0%
<NA> 430
36.0%

Length

2024-05-11T01:34:08.354952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:08.842677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 765
64.0%
na 430
36.0%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1195
Missing (%)100.0%
Memory size10.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03010000PHMA11964301003304110000119640825<NA>3폐업3폐업20080730<NA><NA><NA>2252-4027<NA>880흥인동 109<NA><NA>이동우외과2008-12-06 13:14:55I2018-08-31 23:59:59.0의원<NA><NA>의원00030.0104외과<NA><NA><NA>00<NA><NA>0<NA>
13010000PHMA11964301003304110000219640607<NA>3폐업3폐업19981204<NA><NA><NA>268-0300<NA>100851서울특별시 중구 을지로6가 18번지 16호서울특별시 중구 장충단로 275 (을지로6가)<NA>신덕수치과의원2012-08-22 13:37:40I2018-08-31 23:59:59.0치과의원200676.461052451885.679506치과의원10084.0401치과<NA><NA><NA>00<NA><NA>0<NA>
23010000PHMA11965301003304110000119650830<NA>3폐업3폐업20150527<NA><NA><NA>752-8471<NA>100053서울특별시 중구 4번지 5호서울특별시 중구 퇴계로16길 14-11 (회현동3가)100053중화한의원2015-05-27 10:09:38I2018-08-31 23:59:59.0한의원198515.040869450858.39195한의원10030.0401치과<NA><NA><NA>00<NA><NA>0<NA>
33010000PHMA11965301003304110000219650830<NA>3폐업3폐업20060103<NA><NA><NA>752-3398<NA>876회현동2가 6-11<NA><NA>배원식한의원2008-12-06 13:14:55I2018-08-31 23:59:59.0한의원<NA><NA>한의원00030.0401치과<NA><NA><NA>00<NA><NA>0<NA>
43010000PHMA11965301003304110000319650830<NA>3폐업3폐업20050829<NA><NA><NA>752-0017<NA>080북창동 12-1<NA><NA>유용갑치과의원2008-12-06 13:14:55I2018-08-31 23:59:59.0치과의원<NA><NA>치과의원00030.0122가정의학과<NA><NA><NA>00<NA><NA>0<NA>
53010000PHMA11965301003304110000419650830<NA>3폐업3폐업20060911<NA><NA><NA>776-2555<NA>809명동2가 29-9<NA><NA>김영선치과의원2008-12-06 13:14:55I2018-08-31 23:59:59.0치과의원<NA><NA>치과의원00023.21401치과<NA><NA><NA>00<NA><NA>0<NA>
63010000PHMA11965301003304110000519650830<NA>3폐업3폐업20050811<NA><NA><NA>753-7062<NA>806남창동 230-1<NA><NA>백중당한의원2008-12-06 13:14:55I2018-08-31 23:59:59.0한의원<NA><NA>한의원00030.0301 302 303 308한방내과, 한방부인과, 한방소아과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
73010000PHMA11965301003304110000619650830<NA>3폐업3폐업20060912<NA><NA><NA>753-2469<NA>094남대문로4가 17-9<NA><NA>우치과의원2008-12-06 13:14:55I2018-08-31 23:59:59.0치과의원<NA><NA>치과의원00030.0401치과<NA><NA><NA>00<NA><NA>0<NA>
83010000PHMA11965301003304110000719650830<NA>3폐업3폐업20150408<NA><NA><NA>2266-4950<NA>100300서울특별시 중구 17번지 4호서울특별시 중구 충무로 46 (초동)100300곽치과의원2015-04-08 11:53:17I2018-08-31 23:59:59.0치과의원199310.400608451425.459278치과의원10030.0401치과<NA><NA><NA>00<NA><NA>0<NA>
93010000PHMA11965301003304110000819650830<NA>3폐업3폐업20091029<NA><NA><NA>752-7890<NA>053회현동3가 1-5<NA><NA>이혁치과의원2009-10-29 16:58:44I2018-08-31 23:59:59.0치과의원<NA><NA>치과의원10030.0401치과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
11853010000PHMA1202430100330411000012024-01-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-775-7100<NA><NA>서울특별시 중구 무교동 24-2 휘닉스빌딩서울특별시 중구 무교로 13, 휘닉스빌딩 5층 (무교동)04520브라운산부인과의원2024-02-02 01:43:15U2023-12-02 00:04:00.0의원198076.949537451651.922365<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11863010000PHMA1202430100330411000022024-02-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로2가 61-3 세종호텔서울특별시 중구 퇴계로 145, 세종호텔 3층 (충무로2가)04537닥터쁘띠의원명동점2024-03-22 04:43:14U2023-12-02 22:04:00.0의원198866.364917451021.050961<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11873010000PHMA1202430100330411000031995-08-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02-795-2922<NA><NA>서울특별시 중구 무학동 1서울특별시 중구 다산로 245, 3층 (무학동)04611문원실산부인과의원2024-04-01 21:11:07U2023-12-04 00:03:00.0의원201334.779915451413.119286<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11883010000PHMA1202430100330411000042024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-756-6322<NA><NA>서울특별시 중구 무교동 24-2 휘닉스빌딩서울특별시 중구 무교로 13, 휘닉스빌딩 6층 (무교동)04520시청하늘정신건강의학과의원2024-02-27 15:45:22I2023-12-01 22:09:00.0의원198076.949537451651.922365<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11893010000PHMA1202430100330411000052024-03-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6956-6021<NA><NA>서울특별시 중구 명동1가 59-5 타임워크명동빌딩서울특별시 중구 남대문로 78, 타임워크명동빌딩 3층 301호 (명동1가)04534유앤아이의원명동점2024-04-30 11:19:51U2023-12-05 00:02:00.0의원198433.903212451323.21629<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11903010000PHMA1202430100330411000062024-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-319-7775<NA><NA>서울특별시 중구 서소문동 49-2서울특별시 중구 서소문로 111, 1층 102호 (서소문동)04515바로고침한의원2024-04-12 13:30:30U2023-12-03 23:05:00.0한의원197581.37333451197.712097<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11913010000PHMA1202430100330411000072024-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6959-7252<NA><NA><NA>서울특별시 중구 서소문로 134, 2층 (서소문동)04514맥락한의원2024-04-26 03:13:14U2023-12-03 22:08:00.0한의원197799.199635451258.272946<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11923010000PHMA1202430100330411000082024-04-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 남산동3가 13-31 LK빌딩서울특별시 중구 퇴계로 132, LK빌딩 5층 (남산동3가)04629용하다한의원2024-05-01 13:40:06U2023-12-05 00:03:00.0한의원198735.068338450940.759928<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11933010000PHMA1202430100330411000092024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6943-5001<NA><NA>서울특별시 중구 서소문동 136 ENA Center서울특별시 중구 서소문로 120, ENA Center 3층 306호 (서소문동)04514연세원이비인후과의원2024-05-03 01:13:13U2023-12-05 00:05:00.0의원197692.158884451179.580311<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11943010000PHMA1202430100330411000102024-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-980-5406<NA><NA>서울특별시 중구 서소문동 23 6층서울특별시 중구 서소문로 133, 송하빌딩 6층 (서소문동)04515사마리아한의원2024-04-26 00:43:13U2023-12-03 22:08:00.0한의원197769.961816451288.741581<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>