Overview

Dataset statistics

Number of variables41
Number of observations2098
Missing cells32993
Missing cells (%)38.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory717.2 KiB
Average record size in memory350.1 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
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-16232/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 2098 (100.0%) missing valuesMissing
폐업일자 has 1318 (62.8%) missing valuesMissing
휴업시작일자 has 2087 (99.5%) missing valuesMissing
휴업종료일자 has 2087 (99.5%) missing valuesMissing
재개업일자 has 2098 (100.0%) missing valuesMissing
전화번호 has 544 (25.9%) missing valuesMissing
소재지면적 has 2098 (100.0%) missing valuesMissing
소재지우편번호 has 1445 (68.9%) missing valuesMissing
지번주소 has 130 (6.2%) missing valuesMissing
도로명주소 has 861 (41.0%) missing valuesMissing
도로명우편번호 has 983 (46.9%) missing valuesMissing
좌표정보(X) has 873 (41.6%) missing valuesMissing
좌표정보(Y) has 873 (41.6%) missing valuesMissing
의료인수 has 485 (23.1%) missing valuesMissing
입원실수 has 485 (23.1%) missing valuesMissing
병상수 has 485 (23.1%) missing valuesMissing
총면적 has 485 (23.1%) missing valuesMissing
진료과목내용 has 485 (23.1%) missing valuesMissing
진료과목내용명 has 485 (23.1%) missing valuesMissing
지정취소일자 has 2098 (100.0%) missing valuesMissing
완화의료지정형태 has 2098 (100.0%) missing valuesMissing
완화의료담당부서명 has 2098 (100.0%) missing valuesMissing
총인원 has 2098 (100.0%) missing valuesMissing
구조사수 has 2098 (100.0%) missing valuesMissing
최초지정일자 has 2098 (100.0%) missing valuesMissing
병상수 is highly skewed (γ1 = 26.79609416)Skewed
총면적 is highly skewed (γ1 = 38.91083578)Skewed
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 560 (26.7%) zerosZeros
입원실수 has 1587 (75.6%) zerosZeros
병상수 has 1584 (75.5%) zerosZeros
총면적 has 888 (42.3%) zerosZeros

Reproduction

Analysis started2024-05-11 08:04:19.234194
Analysis finished2024-05-11 08:04:23.048473
Duration3.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
3180000
2098 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 2098
100.0%

Length

2024-05-11T08:04:23.530889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:04:24.031262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 2098
100.0%

관리번호
Text

UNIQUE 

Distinct2098
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
2024-05-11T08:04:24.701350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters52450
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

Unique2098 ?
Unique (%)100.0%

Sample

1st rowPHMA119003180034041100001
2nd rowPHMA119003180034041100002
3rd rowPHMA119003180034041100003
4th rowPHMA119003180034041100004
5th rowPHMA119003180034041100005
ValueCountFrequency (%)
phma119003180034041100001 1
 
< 0.1%
phma120073180034041100012 1
 
< 0.1%
phma120073180034041100010 1
 
< 0.1%
phma120073180034041100009 1
 
< 0.1%
phma120073180034041100008 1
 
< 0.1%
phma120073180034041100007 1
 
< 0.1%
phma120073180034041100006 1
 
< 0.1%
phma120073180034041100004 1
 
< 0.1%
phma120073180034041100003 1
 
< 0.1%
phma120073180034041100002 1
 
< 0.1%
Other values (2088) 2088
99.5%
2024-05-11T08:04:26.037951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15379
29.3%
1 10675
20.4%
3 4944
 
9.4%
4 4824
 
9.2%
8 2704
 
5.2%
2 2117
 
4.0%
P 2098
 
4.0%
H 2098
 
4.0%
M 2098
 
4.0%
A 2098
 
4.0%
Other values (4) 3415
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44058
84.0%
Uppercase Letter 8392
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15379
34.9%
1 10675
24.2%
3 4944
 
11.2%
4 4824
 
10.9%
8 2704
 
6.1%
2 2117
 
4.8%
9 1870
 
4.2%
5 531
 
1.2%
7 509
 
1.2%
6 505
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
P 2098
25.0%
H 2098
25.0%
M 2098
25.0%
A 2098
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44058
84.0%
Latin 8392
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15379
34.9%
1 10675
24.2%
3 4944
 
11.2%
4 4824
 
10.9%
8 2704
 
6.1%
2 2117
 
4.8%
9 1870
 
4.2%
5 531
 
1.2%
7 509
 
1.2%
6 505
 
1.1%
Latin
ValueCountFrequency (%)
P 2098
25.0%
H 2098
25.0%
M 2098
25.0%
A 2098
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52450
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15379
29.3%
1 10675
20.4%
3 4944
 
9.4%
4 4824
 
9.2%
8 2704
 
5.2%
2 2117
 
4.0%
P 2098
 
4.0%
H 2098
 
4.0%
M 2098
 
4.0%
A 2098
 
4.0%
Other values (4) 3415
 
6.5%
Distinct1692
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
Minimum1900-01-01 00:00:00
Maximum2024-04-11 00:00:00
2024-05-11T08:04:26.485566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:04:27.058232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2098
Missing (%)100.0%
Memory size18.6 KiB
Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
3
1216 
1
767 
4
 
109
5
 
5
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row3
2nd row4
3rd row3
4th row3
5th row1

Common Values

ValueCountFrequency (%)
3 1216
58.0%
1 767
36.6%
4 109
 
5.2%
5 5
 
0.2%
2 1
 
< 0.1%

Length

2024-05-11T08:04:27.698091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:04:28.188321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1216
58.0%
1 767
36.6%
4 109
 
5.2%
5 5
 
0.2%
2 1
 
< 0.1%

영업상태명
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
폐업
1216 
영업/정상
767 
취소/말소/만료/정지/중지
 
109
제외/삭제/전출
 
5
휴업
 
1

Length

Max length14
Median length2
Mean length3.7345091
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row폐업
2nd row취소/말소/만료/정지/중지
3rd row폐업
4th row폐업
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 1216
58.0%
영업/정상 767
36.6%
취소/말소/만료/정지/중지 109
 
5.2%
제외/삭제/전출 5
 
0.2%
휴업 1
 
< 0.1%

Length

2024-05-11T08:04:28.766784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:04:29.168492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1216
58.0%
영업/정상 767
36.6%
취소/말소/만료/정지/중지 109
 
5.2%
제외/삭제/전출 5
 
0.2%
휴업 1
 
< 0.1%
Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
3
1216 
13
767 
24
 
109
15
 
5
2
 
1

Length

Max length2
Median length1
Mean length1.4199237
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row3
2nd row24
3rd row3
4th row3
5th row13

Common Values

ValueCountFrequency (%)
3 1216
58.0%
13 767
36.6%
24 109
 
5.2%
15 5
 
0.2%
2 1
 
< 0.1%

Length

2024-05-11T08:04:29.742282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:04:30.320484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1216
58.0%
13 767
36.6%
24 109
 
5.2%
15 5
 
0.2%
2 1
 
< 0.1%
Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
폐업
1216 
영업중
767 
직권폐업
 
109
전출
 
5
휴업
 
1

Length

Max length4
Median length2
Mean length2.4694948
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1216
58.0%
영업중 767
36.6%
직권폐업 109
 
5.2%
전출 5
 
0.2%
휴업 1
 
< 0.1%

Length

2024-05-11T08:04:30.906090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:04:31.299653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1216
58.0%
영업중 767
36.6%
직권폐업 109
 
5.2%
전출 5
 
0.2%
휴업 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct583
Distinct (%)74.7%
Missing1318
Missing (%)62.8%
Memory size16.5 KiB
Minimum2000-07-31 00:00:00
Maximum2024-03-27 00:00:00
2024-05-11T08:04:31.702929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:04:32.404469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing2087
Missing (%)99.5%
Memory size16.5 KiB
Minimum2009-05-01 00:00:00
Maximum2024-02-02 00:00:00
2024-05-11T08:04:32.833337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:04:33.254924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업종료일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing2087
Missing (%)99.5%
Memory size16.5 KiB
Minimum2009-12-31 00:00:00
Maximum2024-08-15 00:00:00
2024-05-11T08:04:33.576499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:04:33.925558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2098
Missing (%)100.0%
Memory size18.6 KiB

전화번호
Text

MISSING 

Distinct1387
Distinct (%)89.3%
Missing544
Missing (%)25.9%
Memory size16.5 KiB
2024-05-11T08:04:34.536963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length11.077864
Min length2

Characters and Unicode

Total characters17215
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1247 ?
Unique (%)80.2%

Sample

1st row02-2677-7517
2nd row02-833-2581
3rd row02-2671-3331
4th row02-677-4822
5th row02-2068-4244
ValueCountFrequency (%)
02-761-4210 5
 
0.3%
02-844-9794 4
 
0.3%
02-844-6885 4
 
0.3%
02-2634-2135 4
 
0.3%
02-2672-1993 4
 
0.3%
02-845-0777 4
 
0.3%
02-2635-7575 4
 
0.3%
02-2676-4959 3
 
0.2%
02 3
 
0.2%
02-849-9897 3
 
0.2%
Other values (1376) 1516
97.6%
2024-05-11T08:04:35.509739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2955
17.2%
- 2886
16.8%
0 2332
13.5%
8 1634
9.5%
7 1534
8.9%
6 1346
7.8%
3 1300
7.6%
5 1103
 
6.4%
4 814
 
4.7%
1 773
 
4.5%
Other values (3) 538
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14325
83.2%
Dash Punctuation 2886
 
16.8%
Other Punctuation 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2955
20.6%
0 2332
16.3%
8 1634
11.4%
7 1534
10.7%
6 1346
9.4%
3 1300
9.1%
5 1103
 
7.7%
4 814
 
5.7%
1 773
 
5.4%
9 534
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 2886
100.0%
Other Punctuation
ValueCountFrequency (%)
* 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17215
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2955
17.2%
- 2886
16.8%
0 2332
13.5%
8 1634
9.5%
7 1534
8.9%
6 1346
7.8%
3 1300
7.6%
5 1103
 
6.4%
4 814
 
4.7%
1 773
 
4.5%
Other values (3) 538
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17215
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2955
17.2%
- 2886
16.8%
0 2332
13.5%
8 1634
9.5%
7 1534
8.9%
6 1346
7.8%
3 1300
7.6%
5 1103
 
6.4%
4 814
 
4.7%
1 773
 
4.5%
Other values (3) 538
 
3.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2098
Missing (%)100.0%
Memory size18.6 KiB

소재지우편번호
Text

MISSING 

Distinct187
Distinct (%)28.6%
Missing1445
Missing (%)68.9%
Memory size16.5 KiB
2024-05-11T08:04:36.007986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1669219
Min length6

Characters and Unicode

Total characters4027
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

Unique81 ?
Unique (%)12.4%

Sample

1st row150010
2nd row150795
3rd row150707
4th row150033
5th row150836
ValueCountFrequency (%)
150033 43
 
6.6%
150045 33
 
5.1%
150010 29
 
4.4%
150034 25
 
3.8%
150036 21
 
3.2%
150050 17
 
2.6%
150890 14
 
2.1%
150030 13
 
2.0%
150070 12
 
1.8%
150093 12
 
1.8%
Other values (177) 434
66.5%
2024-05-11T08:04:36.738083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1175
29.2%
5 780
19.4%
1 773
19.2%
8 328
 
8.1%
3 297
 
7.4%
4 155
 
3.8%
9 138
 
3.4%
7 113
 
2.8%
- 109
 
2.7%
6 101
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3918
97.3%
Dash Punctuation 109
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1175
30.0%
5 780
19.9%
1 773
19.7%
8 328
 
8.4%
3 297
 
7.6%
4 155
 
4.0%
9 138
 
3.5%
7 113
 
2.9%
6 101
 
2.6%
2 58
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4027
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1175
29.2%
5 780
19.4%
1 773
19.2%
8 328
 
8.1%
3 297
 
7.4%
4 155
 
3.8%
9 138
 
3.4%
7 113
 
2.8%
- 109
 
2.7%
6 101
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1175
29.2%
5 780
19.4%
1 773
19.2%
8 328
 
8.1%
3 297
 
7.4%
4 155
 
3.8%
9 138
 
3.4%
7 113
 
2.8%
- 109
 
2.7%
6 101
 
2.5%

지번주소
Text

MISSING 

Distinct1548
Distinct (%)78.7%
Missing130
Missing (%)6.2%
Memory size16.5 KiB
2024-05-11T08:04:37.292599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length44
Mean length26.354675
Min length14

Characters and Unicode

Total characters51866
Distinct characters300
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1313 ?
Unique (%)66.7%

Sample

1st row서울특별시 영등포구 당산동6가 5층 304-1
2nd row서울특별시 영등포구 대림동 706-0
3rd row서울특별시 영등포구 양평동1가 131-1
4th row서울특별시 영등포구 신길동 236-5
5th row서울특별시 영등포구 당산동3가 385번지 1호
ValueCountFrequency (%)
영등포구 1968
19.9%
서울특별시 1946
19.7%
여의도동 379
 
3.8%
신길동 320
 
3.2%
대림동 225
 
2.3%
1호 151
 
1.5%
영등포동3가 135
 
1.4%
2층 126
 
1.3%
영등포동4가 111
 
1.1%
2호 97
 
1.0%
Other values (1467) 4418
44.7%
2024-05-11T08:04:38.442435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9409
18.1%
2519
 
4.9%
2519
 
4.9%
2507
 
4.8%
2019
 
3.9%
1977
 
3.8%
1972
 
3.8%
1971
 
3.8%
1959
 
3.8%
1948
 
3.8%
Other values (290) 23066
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31791
61.3%
Decimal Number 9443
 
18.2%
Space Separator 9409
 
18.1%
Dash Punctuation 967
 
1.9%
Other Punctuation 91
 
0.2%
Uppercase Letter 85
 
0.2%
Close Punctuation 34
 
0.1%
Open Punctuation 34
 
0.1%
Math Symbol 6
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2519
 
7.9%
2519
 
7.9%
2507
 
7.9%
2019
 
6.4%
1977
 
6.2%
1972
 
6.2%
1971
 
6.2%
1959
 
6.2%
1948
 
6.1%
1946
 
6.1%
Other values (248) 10454
32.9%
Uppercase Letter
ValueCountFrequency (%)
E 12
14.1%
S 9
10.6%
K 8
9.4%
T 7
 
8.2%
A 7
 
8.2%
U 6
 
7.1%
C 5
 
5.9%
B 5
 
5.9%
Y 4
 
4.7%
N 4
 
4.7%
Other values (8) 18
21.2%
Decimal Number
ValueCountFrequency (%)
1 1618
17.1%
2 1491
15.8%
3 1468
15.5%
4 1068
11.3%
5 847
9.0%
6 806
8.5%
0 788
8.3%
7 535
 
5.7%
9 423
 
4.5%
8 399
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 69
75.8%
. 14
 
15.4%
/ 3
 
3.3%
? 3
 
3.3%
@ 1
 
1.1%
& 1
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
66.7%
t 1
 
16.7%
k 1
 
16.7%
Space Separator
ValueCountFrequency (%)
9409
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 967
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31791
61.3%
Common 19984
38.5%
Latin 91
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2519
 
7.9%
2519
 
7.9%
2507
 
7.9%
2019
 
6.4%
1977
 
6.2%
1972
 
6.2%
1971
 
6.2%
1959
 
6.2%
1948
 
6.1%
1946
 
6.1%
Other values (248) 10454
32.9%
Common
ValueCountFrequency (%)
9409
47.1%
1 1618
 
8.1%
2 1491
 
7.5%
3 1468
 
7.3%
4 1068
 
5.3%
- 967
 
4.8%
5 847
 
4.2%
6 806
 
4.0%
0 788
 
3.9%
7 535
 
2.7%
Other values (11) 987
 
4.9%
Latin
ValueCountFrequency (%)
E 12
13.2%
S 9
 
9.9%
K 8
 
8.8%
T 7
 
7.7%
A 7
 
7.7%
U 6
 
6.6%
C 5
 
5.5%
B 5
 
5.5%
Y 4
 
4.4%
N 4
 
4.4%
Other values (11) 24
26.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31791
61.3%
ASCII 20075
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9409
46.9%
1 1618
 
8.1%
2 1491
 
7.4%
3 1468
 
7.3%
4 1068
 
5.3%
- 967
 
4.8%
5 847
 
4.2%
6 806
 
4.0%
0 788
 
3.9%
7 535
 
2.7%
Other values (32) 1078
 
5.4%
Hangul
ValueCountFrequency (%)
2519
 
7.9%
2519
 
7.9%
2507
 
7.9%
2019
 
6.4%
1977
 
6.2%
1972
 
6.2%
1971
 
6.2%
1959
 
6.2%
1948
 
6.1%
1946
 
6.1%
Other values (248) 10454
32.9%

도로명주소
Text

MISSING 

Distinct1132
Distinct (%)91.5%
Missing861
Missing (%)41.0%
Memory size16.5 KiB
2024-05-11T08:04:38.926113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length49
Mean length33.784964
Min length22

Characters and Unicode

Total characters41792
Distinct characters304
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1054 ?
Unique (%)85.2%

Sample

1st row서울특별시 영등포구 당산로 123 (당산동3가, 영등포구청)
2nd row서울특별시 영등포구 여의대방로 386, 208호 (여의도동, 진주상가)
3rd row서울특별시 영등포구 의사당대로 108, 306~307호 (여의도동, 아일렉스)
4th row서울특별시 영등포구 국제금융로2길 32, 지하1층 (여의도동, 동양증권빌딩)
5th row서울특별시 영등포구 영중로 12, 11층 (영등포동3가, 에쉐르아이시네마쇼핑몰)
ValueCountFrequency (%)
서울특별시 1237
 
15.8%
영등포구 1237
 
15.8%
여의도동 250
 
3.2%
2층 227
 
2.9%
신길동 200
 
2.6%
대림동 131
 
1.7%
3층 121
 
1.5%
당산로 100
 
1.3%
양평로 94
 
1.2%
영중로 92
 
1.2%
Other values (1082) 4145
52.9%
2024-05-11T08:04:39.957392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6599
 
15.8%
1769
 
4.2%
1616
 
3.9%
1604
 
3.8%
, 1330
 
3.2%
1315
 
3.1%
1273
 
3.0%
1255
 
3.0%
1254
 
3.0%
( 1248
 
3.0%
Other values (294) 22529
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25049
59.9%
Space Separator 6599
 
15.8%
Decimal Number 6031
 
14.4%
Other Punctuation 1352
 
3.2%
Open Punctuation 1248
 
3.0%
Close Punctuation 1248
 
3.0%
Dash Punctuation 116
 
0.3%
Uppercase Letter 106
 
0.3%
Math Symbol 24
 
0.1%
Lowercase Letter 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1769
 
7.1%
1616
 
6.5%
1604
 
6.4%
1315
 
5.2%
1273
 
5.1%
1255
 
5.0%
1254
 
5.0%
1242
 
5.0%
1239
 
4.9%
1238
 
4.9%
Other values (249) 11244
44.9%
Uppercase Letter
ValueCountFrequency (%)
E 17
16.0%
S 16
15.1%
K 10
9.4%
A 9
8.5%
U 8
7.5%
J 8
7.5%
T 7
6.6%
B 5
 
4.7%
C 5
 
4.7%
Y 4
 
3.8%
Other values (8) 17
16.0%
Decimal Number
ValueCountFrequency (%)
2 1097
18.2%
1 994
16.5%
3 890
14.8%
4 627
10.4%
0 559
9.3%
6 506
8.4%
5 498
8.3%
7 338
 
5.6%
8 295
 
4.9%
9 227
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
e 8
44.4%
r 2
 
11.1%
c 2
 
11.1%
n 2
 
11.1%
t 2
 
11.1%
s 1
 
5.6%
k 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 1330
98.4%
. 16
 
1.2%
? 3
 
0.2%
& 3
 
0.2%
Space Separator
ValueCountFrequency (%)
6599
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1248
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1248
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Math Symbol
ValueCountFrequency (%)
~ 24
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25049
59.9%
Common 16618
39.8%
Latin 125
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1769
 
7.1%
1616
 
6.5%
1604
 
6.4%
1315
 
5.2%
1273
 
5.1%
1255
 
5.0%
1254
 
5.0%
1242
 
5.0%
1239
 
4.9%
1238
 
4.9%
Other values (249) 11244
44.9%
Latin
ValueCountFrequency (%)
E 17
13.6%
S 16
12.8%
K 10
 
8.0%
A 9
 
7.2%
U 8
 
6.4%
J 8
 
6.4%
e 8
 
6.4%
T 7
 
5.6%
B 5
 
4.0%
C 5
 
4.0%
Other values (16) 32
25.6%
Common
ValueCountFrequency (%)
6599
39.7%
, 1330
 
8.0%
( 1248
 
7.5%
) 1248
 
7.5%
2 1097
 
6.6%
1 994
 
6.0%
3 890
 
5.4%
4 627
 
3.8%
0 559
 
3.4%
6 506
 
3.0%
Other values (9) 1520
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25049
59.9%
ASCII 16742
40.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6599
39.4%
, 1330
 
7.9%
( 1248
 
7.5%
) 1248
 
7.5%
2 1097
 
6.6%
1 994
 
5.9%
3 890
 
5.3%
4 627
 
3.7%
0 559
 
3.3%
6 506
 
3.0%
Other values (34) 1644
 
9.8%
Hangul
ValueCountFrequency (%)
1769
 
7.1%
1616
 
6.5%
1604
 
6.4%
1315
 
5.2%
1273
 
5.1%
1255
 
5.0%
1254
 
5.0%
1242
 
5.0%
1239
 
4.9%
1238
 
4.9%
Other values (249) 11244
44.9%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct226
Distinct (%)20.3%
Missing983
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean25298.127
Minimum7204
Maximum150989
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2024-05-11T08:04:40.368127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7204
5-th percentile7214
Q17266
median7331
Q37411
95-th percentile150823.6
Maximum150989
Range143785
Interquartile range (IQR)145

Descriptive statistics

Standard deviation47470.301
Coefficient of variation (CV)1.8764354
Kurtosis3.127498
Mean25298.127
Median Absolute Deviation (MAD)67
Skewness2.2631382
Sum28207412
Variance2.2534295 × 109
MonotonicityNot monotonic
2024-05-11T08:04:40.824511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7333 58
 
2.8%
7304 32
 
1.5%
7223 31
 
1.5%
7328 27
 
1.3%
7327 25
 
1.2%
7251 24
 
1.1%
7301 23
 
1.1%
7214 23
 
1.1%
7250 21
 
1.0%
7417 20
 
1.0%
Other values (216) 831
39.6%
(Missing) 983
46.9%
ValueCountFrequency (%)
7204 1
 
< 0.1%
7205 2
 
0.1%
7206 8
 
0.4%
7207 6
 
0.3%
7208 8
 
0.4%
7212 1
 
< 0.1%
7213 19
0.9%
7214 23
1.1%
7217 4
 
0.2%
7219 7
 
0.3%
ValueCountFrequency (%)
150989 1
< 0.1%
150977 1
< 0.1%
150973 1
< 0.1%
150971 1
< 0.1%
150968 1
< 0.1%
150949 2
0.1%
150918 2
0.1%
150901 1
< 0.1%
150890 2
0.1%
150889 2
0.1%
Distinct1760
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
2024-05-11T08:04:41.331573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length7.0100095
Min length3

Characters and Unicode

Total characters14707
Distinct characters458
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1576 ?
Unique (%)75.1%

Sample

1st row두손이비인후과의원
2nd row서울복지의원
3rd row서울영등포중앙의원
4th row아사랑소아과의원
5th row영등포구보건소
ValueCountFrequency (%)
동인당한의원 18
 
0.8%
영일한의원 9
 
0.4%
세종한의원 9
 
0.4%
대원한의원 8
 
0.4%
백제한의원 8
 
0.4%
중앙한의원 8
 
0.4%
사상당한의원 7
 
0.3%
대명한의원 7
 
0.3%
국제당한의원 7
 
0.3%
동산한의원 6
 
0.3%
Other values (1771) 2042
95.9%
2024-05-11T08:04:42.090462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2206
 
15.0%
2084
 
14.2%
1137
 
7.7%
660
 
4.5%
557
 
3.8%
239
 
1.6%
219
 
1.5%
189
 
1.3%
166
 
1.1%
160
 
1.1%
Other values (448) 7090
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14587
99.2%
Decimal Number 40
 
0.3%
Space Separator 31
 
0.2%
Close Punctuation 18
 
0.1%
Open Punctuation 18
 
0.1%
Uppercase Letter 8
 
0.1%
Lowercase Letter 3
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2206
 
15.1%
2084
 
14.3%
1137
 
7.8%
660
 
4.5%
557
 
3.8%
239
 
1.6%
219
 
1.5%
189
 
1.3%
166
 
1.1%
160
 
1.1%
Other values (428) 6970
47.8%
Uppercase Letter
ValueCountFrequency (%)
P 1
12.5%
N 1
12.5%
C 1
12.5%
K 1
12.5%
B 1
12.5%
S 1
12.5%
E 1
12.5%
W 1
12.5%
Decimal Number
ValueCountFrequency (%)
3 11
27.5%
6 11
27.5%
5 9
22.5%
8 5
12.5%
0 2
 
5.0%
2 1
 
2.5%
4 1
 
2.5%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14587
99.2%
Common 109
 
0.7%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2206
 
15.1%
2084
 
14.3%
1137
 
7.8%
660
 
4.5%
557
 
3.8%
239
 
1.6%
219
 
1.5%
189
 
1.3%
166
 
1.1%
160
 
1.1%
Other values (428) 6970
47.8%
Common
ValueCountFrequency (%)
31
28.4%
) 18
16.5%
( 18
16.5%
3 11
 
10.1%
6 11
 
10.1%
5 9
 
8.3%
8 5
 
4.6%
0 2
 
1.8%
- 2
 
1.8%
2 1
 
0.9%
Latin
ValueCountFrequency (%)
e 3
27.3%
P 1
 
9.1%
N 1
 
9.1%
C 1
 
9.1%
K 1
 
9.1%
B 1
 
9.1%
S 1
 
9.1%
E 1
 
9.1%
W 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14587
99.2%
ASCII 120
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2206
 
15.1%
2084
 
14.3%
1137
 
7.8%
660
 
4.5%
557
 
3.8%
239
 
1.6%
219
 
1.5%
189
 
1.3%
166
 
1.1%
160
 
1.1%
Other values (428) 6970
47.8%
ASCII
ValueCountFrequency (%)
31
25.8%
) 18
15.0%
( 18
15.0%
3 11
 
9.2%
6 11
 
9.2%
5 9
 
7.5%
8 5
 
4.2%
e 3
 
2.5%
0 2
 
1.7%
- 2
 
1.7%
Other values (10) 10
 
8.3%
Distinct1461
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
Minimum2008-12-18 18:43:52
Maximum2024-05-09 23:43:21
2024-05-11T08:04:42.375063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:04:42.634015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
I
1350 
U
748 

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 (%)
I 1350
64.3%
U 748
35.7%

Length

2024-05-11T08:04:43.048935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:04:43.347980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1350
64.3%
u 748
35.7%
Distinct395
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T08:04:43.639659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:04:44.037405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
의원
996 
한의원
552 
치과의원
549 
보건소
 
1

Length

Max length4
Median length3
Mean length2.7869399
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 996
47.5%
한의원 552
26.3%
치과의원 549
26.2%
보건소 1
 
< 0.1%

Length

2024-05-11T08:04:44.368601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:04:44.670899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 996
47.5%
한의원 552
26.3%
치과의원 549
26.2%
보건소 1
 
< 0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct569
Distinct (%)46.4%
Missing873
Missing (%)41.6%
Infinite0
Infinite (%)0.0%
Mean191827.4
Minimum189700.36
Maximum194632.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2024-05-11T08:04:44.978037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189700.36
5-th percentile190217.71
Q1191077.63
median191562.89
Q3192593.38
95-th percentile193806.71
Maximum194632.53
Range4932.1706
Interquartile range (IQR)1515.7551

Descriptive statistics

Standard deviation1068.7863
Coefficient of variation (CV)0.0055716038
Kurtosis-0.5878462
Mean191827.4
Median Absolute Deviation (MAD)616.17592
Skewness0.50112134
Sum2.3498856 × 108
Variance1142304.1
MonotonicityNot monotonic
2024-05-11T08:04:45.427496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193209.283508484 15
 
0.7%
193806.710797598 15
 
0.7%
193306.330043669 13
 
0.6%
193798.948251805 12
 
0.6%
191186.037189337 12
 
0.6%
193474.240829093 9
 
0.4%
191609.154696895 9
 
0.4%
190217.705071932 9
 
0.4%
192574.606470155 9
 
0.4%
191692.056397988 9
 
0.4%
Other values (559) 1113
53.1%
(Missing) 873
41.6%
ValueCountFrequency (%)
189700.355755718 1
 
< 0.1%
189710.922675147 1
 
< 0.1%
189725.215190486 1
 
< 0.1%
189749.797733542 3
 
0.1%
189784.908763399 1
 
< 0.1%
189785.752470051 8
0.4%
189862.670939789 4
0.2%
189877.186450371 1
 
< 0.1%
189879.22376459 1
 
< 0.1%
189955.804848895 1
 
< 0.1%
ValueCountFrequency (%)
194632.526367463 2
 
0.1%
194504.656267957 3
 
0.1%
194370.32715363 1
 
< 0.1%
194182.153879146 1
 
< 0.1%
194124.497455922 8
0.4%
194015.180457719 2
 
0.1%
193989.272586157 1
 
< 0.1%
193915.13139016 3
 
0.1%
193896.282065175 3
 
0.1%
193882.109246282 3
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct568
Distinct (%)46.4%
Missing873
Missing (%)41.6%
Infinite0
Infinite (%)0.0%
Mean446063.92
Minimum442756.53
Maximum448737.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2024-05-11T08:04:45.828816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442756.53
5-th percentile443464.03
Q1445156.04
median446375.37
Q3446854.65
95-th percentile448013.51
Maximum448737.35
Range5980.8207
Interquartile range (IQR)1698.6044

Descriptive statistics

Standard deviation1345.4798
Coefficient of variation (CV)0.0030163386
Kurtosis-0.42563045
Mean446063.92
Median Absolute Deviation (MAD)776.59595
Skewness-0.56935233
Sum5.464283 × 108
Variance1810316
MonotonicityNot monotonic
2024-05-11T08:04:46.244212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446474.956573488 15
 
0.7%
446301.910645928 15
 
0.7%
446582.782311218 13
 
0.6%
446579.652565611 12
 
0.6%
447739.896956998 12
 
0.6%
446636.663614573 9
 
0.4%
442980.019855565 9
 
0.4%
446449.917568696 9
 
0.4%
445510.425772004 9
 
0.4%
446077.290265185 9
 
0.4%
Other values (558) 1113
53.1%
(Missing) 873
41.6%
ValueCountFrequency (%)
442756.531513655 1
 
< 0.1%
442845.509722053 1
 
< 0.1%
442950.2893204 1
 
< 0.1%
442956.065308648 2
 
0.1%
442974.733364799 1
 
< 0.1%
442980.019855565 9
0.4%
443029.25014867 1
 
< 0.1%
443035.744665571 2
 
0.1%
443120.588317372 1
 
< 0.1%
443148.405484345 1
 
< 0.1%
ValueCountFrequency (%)
448737.352190615 1
 
< 0.1%
448515.663711947 1
 
< 0.1%
448507.891439415 1
 
< 0.1%
448477.213372581 1
 
< 0.1%
448449.328276831 1
 
< 0.1%
448434.679777957 1
 
< 0.1%
448433.817829409 1
 
< 0.1%
448412.128229793 2
0.1%
448399.365382151 3
0.1%
448389.839806194 1
 
< 0.1%
Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
의원
714 
<NA>
485 
치과의원
460 
한의원
438 
보건소
 
1

Length

Max length4
Median length3
Mean length3.1101049
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 714
34.0%
<NA> 485
23.1%
치과의원 460
21.9%
한의원 438
20.9%
보건소 1
 
< 0.1%

Length

2024-05-11T08:04:46.589469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:04:46.855938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 714
34.0%
na 485
23.1%
치과의원 460
21.9%
한의원 438
20.9%
보건소 1
 
< 0.1%

의료인수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)0.7%
Missing485
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean0.83756975
Minimum0
Maximum44
Zeros560
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2024-05-11T08:04:47.120729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum44
Range44
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5549176
Coefficient of variation (CV)1.8564634
Kurtosis421.50937
Mean0.83756975
Median Absolute Deviation (MAD)0
Skewness17.409138
Sum1351
Variance2.4177688
MonotonicityNot monotonic
2024-05-11T08:04:47.337195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 903
43.0%
0 560
26.7%
2 117
 
5.6%
3 21
 
1.0%
9 3
 
0.1%
4 3
 
0.1%
6 1
 
< 0.1%
44 1
 
< 0.1%
5 1
 
< 0.1%
22 1
 
< 0.1%
Other values (2) 2
 
0.1%
(Missing) 485
23.1%
ValueCountFrequency (%)
0 560
26.7%
1 903
43.0%
2 117
 
5.6%
3 21
 
1.0%
4 3
 
0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
9 3
 
0.1%
11 1
 
< 0.1%
22 1
 
< 0.1%
ValueCountFrequency (%)
44 1
 
< 0.1%
24 1
 
< 0.1%
22 1
 
< 0.1%
11 1
 
< 0.1%
9 3
 
0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%
4 3
 
0.1%
3 21
 
1.0%
2 117
5.6%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.6%
Missing485
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean0.04649721
Minimum0
Maximum8
Zeros1587
Zeros (%)75.6%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2024-05-11T08:04:47.539034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.46296642
Coefficient of variation (CV)9.9568645
Kurtosis169.54001
Mean0.04649721
Median Absolute Deviation (MAD)0
Skewness12.447492
Sum75
Variance0.21433791
MonotonicityNot monotonic
2024-05-11T08:04:47.780184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 1587
75.6%
1 12
 
0.6%
2 3
 
0.1%
4 3
 
0.1%
7 2
 
0.1%
3 2
 
0.1%
6 2
 
0.1%
8 1
 
< 0.1%
5 1
 
< 0.1%
(Missing) 485
 
23.1%
ValueCountFrequency (%)
0 1587
75.6%
1 12
 
0.6%
2 3
 
0.1%
3 2
 
0.1%
4 3
 
0.1%
5 1
 
< 0.1%
6 2
 
0.1%
7 2
 
0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 2
 
0.1%
6 2
 
0.1%
5 1
 
< 0.1%
4 3
 
0.1%
3 2
 
0.1%
2 3
 
0.1%
1 12
 
0.6%
0 1587
75.6%

병상수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct15
Distinct (%)0.9%
Missing485
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean0.17792932
Minimum0
Maximum90
Zeros1584
Zeros (%)75.5%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2024-05-11T08:04:48.238827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum90
Range90
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.6375244
Coefficient of variation (CV)14.823438
Kurtosis855.46822
Mean0.17792932
Median Absolute Deviation (MAD)0
Skewness26.796094
Sum287
Variance6.9565349
MonotonicityNot monotonic
2024-05-11T08:04:48.605009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 1584
75.5%
2 8
 
0.4%
1 6
 
0.3%
10 2
 
0.1%
6 2
 
0.1%
3 2
 
0.1%
29 1
 
< 0.1%
5 1
 
< 0.1%
18 1
 
< 0.1%
19 1
 
< 0.1%
Other values (5) 5
 
0.2%
(Missing) 485
 
23.1%
ValueCountFrequency (%)
0 1584
75.5%
1 6
 
0.3%
2 8
 
0.4%
3 2
 
0.1%
5 1
 
< 0.1%
6 2
 
0.1%
9 1
 
< 0.1%
10 2
 
0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
90 1
< 0.1%
29 1
< 0.1%
28 1
< 0.1%
19 1
< 0.1%
18 1
< 0.1%
15 1
< 0.1%
14 1
< 0.1%
10 2
0.1%
9 1
< 0.1%
6 2
0.1%

총면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct593
Distinct (%)36.8%
Missing485
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean360.29868
Minimum0
Maximum397398
Zeros888
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2024-05-11T08:04:48.998021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3106.86
95-th percentile233.8
Maximum397398
Range397398
Interquartile range (IQR)106.86

Descriptive statistics

Standard deviation10007.547
Coefficient of variation (CV)27.775698
Kurtosis1540.3542
Mean360.29868
Median Absolute Deviation (MAD)0
Skewness38.910836
Sum581161.77
Variance1.0015101 × 108
MonotonicityNot monotonic
2024-05-11T08:04:49.294096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 888
42.3%
66.0 9
 
0.4%
132.0 7
 
0.3%
86.0 5
 
0.2%
88.0 4
 
0.2%
105.6 4
 
0.2%
88.32 4
 
0.2%
99.0 4
 
0.2%
65.0 4
 
0.2%
179.56 4
 
0.2%
Other values (583) 680
32.4%
(Missing) 485
23.1%
ValueCountFrequency (%)
0.0 888
42.3%
17.05 1
 
< 0.1%
23.0 2
 
0.1%
25.91 1
 
< 0.1%
28.05 1
 
< 0.1%
30.0 2
 
0.1%
30.6 1
 
< 0.1%
32.0 1
 
< 0.1%
32.21 1
 
< 0.1%
33.0 2
 
0.1%
ValueCountFrequency (%)
397398.0 1
< 0.1%
58386.0 1
< 0.1%
16891.0 1
< 0.1%
2089.55 1
< 0.1%
1761.48 1
< 0.1%
1400.94 1
< 0.1%
1156.0 1
< 0.1%
1068.97 1
< 0.1%
980.97 1
< 0.1%
803.0 1
< 0.1%

진료과목내용
Text

MISSING 

Distinct257
Distinct (%)15.9%
Missing485
Missing (%)23.1%
Memory size16.5 KiB
2024-05-11T08:04:49.835621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length3
Mean length8.5151891
Min length3

Characters and Unicode

Total characters13735
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

Unique190 ?
Unique (%)11.8%

Sample

1st row101
2nd row101
3rd row101
4th row101
5th row101
ValueCountFrequency (%)
101 985
25.7%
401 200
 
5.2%
301 174
 
4.5%
114 155
 
4.0%
111 122
 
3.2%
113 103
 
2.7%
406 88
 
2.3%
402 87
 
2.3%
403 87
 
2.3%
407 86
 
2.2%
Other values (44) 1750
45.6%
2024-05-11T08:04:50.680403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4244
30.9%
0 3146
22.9%
2224
16.2%
4 1421
 
10.3%
3 1062
 
7.7%
2 580
 
4.2%
5 300
 
2.2%
8 229
 
1.7%
6 208
 
1.5%
7 176
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11511
83.8%
Space Separator 2224
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4244
36.9%
0 3146
27.3%
4 1421
 
12.3%
3 1062
 
9.2%
2 580
 
5.0%
5 300
 
2.6%
8 229
 
2.0%
6 208
 
1.8%
7 176
 
1.5%
9 145
 
1.3%
Space Separator
ValueCountFrequency (%)
2224
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13735
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4244
30.9%
0 3146
22.9%
2224
16.2%
4 1421
 
10.3%
3 1062
 
7.7%
2 580
 
4.2%
5 300
 
2.2%
8 229
 
1.7%
6 208
 
1.5%
7 176
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13735
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4244
30.9%
0 3146
22.9%
2224
16.2%
4 1421
 
10.3%
3 1062
 
7.7%
2 580
 
4.2%
5 300
 
2.2%
8 229
 
1.7%
6 208
 
1.5%
7 176
 
1.3%

진료과목내용명
Text

MISSING 

Distinct206
Distinct (%)12.8%
Missing485
Missing (%)23.1%
Memory size16.5 KiB
2024-05-11T08:04:51.134947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length141
Median length2
Mean length12.371358
Min length2

Characters and Unicode

Total characters19955
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

Unique142 ?
Unique (%)8.8%

Sample

1st row내과
2nd row내과
3rd row내과
4th row내과
5th row내과
ValueCountFrequency (%)
내과 985
25.7%
치과 202
 
5.3%
한방내과 174
 
4.5%
피부과 155
 
4.0%
소아청소년과 122
 
3.2%
이비인후과 103
 
2.7%
치주과 100
 
2.6%
치과보철과 99
 
2.6%
구강악안면외과 98
 
2.6%
치과보존과 97
 
2.5%
Other values (34) 1702
44.4%
2024-05-11T08:04:52.095974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4122
20.7%
, 2224
 
11.1%
2224
 
11.1%
1246
 
6.2%
886
 
4.4%
695
 
3.5%
593
 
3.0%
449
 
2.3%
449
 
2.3%
425
 
2.1%
Other values (55) 6642
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15339
76.9%
Other Punctuation 2392
 
12.0%
Space Separator 2224
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4122
26.9%
1246
 
8.1%
886
 
5.8%
695
 
4.5%
593
 
3.9%
449
 
2.9%
449
 
2.9%
425
 
2.8%
383
 
2.5%
348
 
2.3%
Other values (52) 5743
37.4%
Other Punctuation
ValueCountFrequency (%)
, 2224
93.0%
? 168
 
7.0%
Space Separator
ValueCountFrequency (%)
2224
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15339
76.9%
Common 4616
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4122
26.9%
1246
 
8.1%
886
 
5.8%
695
 
4.5%
593
 
3.9%
449
 
2.9%
449
 
2.9%
425
 
2.8%
383
 
2.5%
348
 
2.3%
Other values (52) 5743
37.4%
Common
ValueCountFrequency (%)
, 2224
48.2%
2224
48.2%
? 168
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15339
76.9%
ASCII 4616
 
23.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4122
26.9%
1246
 
8.1%
886
 
5.8%
695
 
4.5%
593
 
3.9%
449
 
2.9%
449
 
2.9%
425
 
2.8%
383
 
2.5%
348
 
2.3%
Other values (52) 5743
37.4%
ASCII
ValueCountFrequency (%)
, 2224
48.2%
2224
48.2%
? 168
 
3.6%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2098
Missing (%)100.0%
Memory size18.6 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2098
Missing (%)100.0%
Memory size18.6 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2098
Missing (%)100.0%
Memory size18.6 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
0
1613 
<NA>
485 

Length

Max length4
Median length1
Mean length1.6935176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1613
76.9%
<NA> 485
 
23.1%

Length

2024-05-11T08:04:52.545785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:04:52.902293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1613
76.9%
na 485
 
23.1%

구급차일반
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
0
1613 
<NA>
485 

Length

Max length4
Median length1
Mean length1.6935176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1613
76.9%
<NA> 485
 
23.1%

Length

2024-05-11T08:04:53.371744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:04:53.802589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1613
76.9%
na 485
 
23.1%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2098
Missing (%)100.0%
Memory size18.6 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2098
Missing (%)100.0%
Memory size18.6 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
0
1613 
<NA>
485 

Length

Max length4
Median length1
Mean length1.6935176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1613
76.9%
<NA> 485
 
23.1%

Length

2024-05-11T08:04:54.231859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:04:54.608253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1613
76.9%
na 485
 
23.1%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2098
Missing (%)100.0%
Memory size18.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03180000PHMA11900318003404110000119000101<NA>3폐업3폐업<NA><NA><NA><NA>02-2677-7517<NA><NA>서울특별시 영등포구 당산동6가 5층 304-1<NA><NA>두손이비인후과의원2008-12-18 18:43:52I2018-08-31 23:59:59.0의원<NA><NA>의원0000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
13180000PHMA11900318003404110000219000101<NA>4취소/말소/만료/정지/중지24직권폐업20150126<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 대림동 706-0<NA><NA>서울복지의원2015-01-26 10:38:57I2018-08-31 23:59:59.0의원<NA><NA>의원1000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
23180000PHMA11900318003404110000319000101<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동1가 131-1<NA><NA>서울영등포중앙의원2008-12-18 18:43:52I2018-08-31 23:59:59.0의원<NA><NA>의원0000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
33180000PHMA11900318003404110000419000101<NA>3폐업3폐업<NA><NA><NA><NA>02-833-2581<NA><NA>서울특별시 영등포구 신길동 236-5<NA><NA>아사랑소아과의원2008-12-18 18:43:52I2018-08-31 23:59:59.0의원<NA><NA>의원0000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
43180000PHMA11900318003404110000519000101<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동3가 385번지 1호서울특별시 영등포구 당산로 123 (당산동3가, 영등포구청)7260영등포구보건소2017-09-05 18:39:13I2018-08-31 23:59:59.0보건소190733.030903447118.969319보건소9000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
53180000PHMA11900318003404110000619000101<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 대림동 783-2<NA><NA>우리연세소아과의원2008-12-18 18:43:52I2018-08-31 23:59:59.0의원<NA><NA>의원0000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
63180000PHMA11900318003404110000719000101<NA>3폐업3폐업<NA><NA><NA><NA>02-2671-3331<NA><NA>서울특별시 영등포구 당산동6가 2층 216-5<NA><NA>유로탑비뇨기과2008-12-18 18:43:52I2018-08-31 23:59:59.0의원<NA><NA>의원0000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
73180000PHMA11900318003404110000819000101<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동6가 216-5<NA><NA>유로탑비뇨기과의원2008-12-18 18:43:52I2018-08-31 23:59:59.0의원<NA><NA>의원0000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
83180000PHMA11900318003404110000919000101<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 44-35<NA><NA>정숙산부인과의원2008-12-18 18:43:52I2018-08-31 23:59:59.0의원<NA><NA>의원0000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
93180000PHMA11900318003404110001019000101<NA>3폐업3폐업<NA><NA><NA><NA>02-677-4822<NA><NA>서울특별시 영등포구 영등포동1가 삼보빌딩 143-3<NA><NA>라파치과의원2008-12-18 18:43:52I2018-08-31 23:59:59.0치과의원<NA><NA>치과의원0000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
20883180000PHMA1202431800340411000082024-03-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 국제금융로 39, 301,302,303,308호 (여의도동, 브라이튼 여의도)7339빛채운 피부과의원2024-03-14 10:50:12I2023-12-02 23:06:00.0의원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20893180000PHMA1202431800340411000092018-08-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6925-3939<NA><NA>서울특별시 영등포구 여의도동 525서울특별시 영등포구 국제금융로 39, 109호 (여의도동)7339서울고마운정형외과의원2024-04-18 20:43:18U2023-12-03 22:00:00.0의원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20903180000PHMA1202431800340411000102018-11-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2634-4300<NA><NA>서울특별시 영등포구 양평동5가 26-3서울특별시 영등포구 양평로 133, 5,6,9층 (양평동5가)7207미래셀의원2024-04-01 15:27:14U2023-12-04 00:03:00.0의원190459.286536448434.679778<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20913180000PHMA1202431800340411000112024-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2263-5553<NA><NA>서울특별시 영등포구 문래동6가 5 EEU동신타워서울특별시 영등포구 선유로 63, EEU동신타워 402,403호 (문래동6가)7281닥터오의원2024-03-29 00:13:19U2023-12-02 21:01:00.0의원190121.308342446385.284135<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20923180000PHMA1202431800340411000122002-11-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 26-5 대오빌딩서울특별시 영등포구 여의나루로 53-1, 대오빌딩 7층 701호 (여의도동)7327고려금비뇨기과의원2024-04-03 13:54:01U2023-12-04 00:05:00.0의원193301.905347446718.740953<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20933180000PHMA1202431800340411000132024-04-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-783-2825<NA><NA>서울특별시 영등포구 여의도동 26-5 대오빌딩서울특별시 영등포구 여의나루로 53-1, 대오빌딩 4층 401호 (여의도동)7327위드치과보철과의원2024-04-26 00:43:22U2023-12-03 22:08:00.0치과의원193301.905347446718.740953<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20943180000PHMA1202431800340411000142024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2633-2632<NA><NA><NA>서울특별시 영등포구 양평로 68, 7층 (당산동6가)7222이화앤유영상의학과의원2024-04-19 00:43:22U2023-12-03 22:01:00.0의원191046.720916448126.220292<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20953180000PHMA1202431800340411000152024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2635-1119<NA><NA>서울특별시 영등포구 영등포동3가 9-13 에쉐르아이 시네마 쇼핑몰서울특별시 영등포구 영중로 12, 에쉐르아이 시네마 쇼핑몰 2층 (영등포동3가)7304고운이비인후과의원2024-04-19 04:13:22U2023-12-03 22:01:00.0의원191664.796066446160.543792<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20963180000PHMA1202431800340411000162024-04-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-835-1028<NA><NA>서울특별시 영등포구 신길동 4336서울특별시 영등포구 여의대방로 77, 2층 (신길동)7434뉴연세보라매치과의원2024-04-19 00:43:22U2023-12-03 22:01:00.0치과의원192434.114642443871.385513<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20973180000PHMA1202431800340411000172024-04-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6674-0100<NA><NA>서울특별시 영등포구 당산동6가 338-1 한경빌딩서울특별시 영등포구 양평로 64, 한경빌딩 3층 (당산동6가)7222씨에스서울안과의원2024-05-02 20:43:20U2023-12-05 00:04:00.0의원191096.383033448115.641405<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>