Overview

Dataset statistics

Number of variables41
Number of observations1150
Missing cells14729
Missing cells (%)31.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory394.3 KiB
Average record size in memory351.1 B

Variable types

Categorical13
Text9
DateTime4
Unsupported9
Numeric6

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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-16227/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (50.2%)Imbalance
영업상태명 is highly imbalanced (50.2%)Imbalance
상세영업상태코드 is highly imbalanced (50.2%)Imbalance
상세영업상태명 is highly imbalanced (50.2%)Imbalance
휴업시작일자 is highly imbalanced (98.0%)Imbalance
휴업종료일자 is highly imbalanced (98.0%)Imbalance
인허가취소일자 has 1150 (100.0%) missing valuesMissing
폐업일자 has 766 (66.6%) missing valuesMissing
재개업일자 has 1150 (100.0%) missing valuesMissing
전화번호 has 18 (1.6%) missing valuesMissing
소재지면적 has 1150 (100.0%) missing valuesMissing
소재지우편번호 has 462 (40.2%) missing valuesMissing
지번주소 has 101 (8.8%) missing valuesMissing
도로명주소 has 77 (6.7%) missing valuesMissing
도로명우편번호 has 113 (9.8%) missing valuesMissing
좌표정보(X) has 107 (9.3%) missing valuesMissing
좌표정보(Y) has 107 (9.3%) missing valuesMissing
의료인수 has 438 (38.1%) missing valuesMissing
입원실수 has 438 (38.1%) missing valuesMissing
병상수 has 438 (38.1%) missing valuesMissing
총면적 has 438 (38.1%) missing valuesMissing
진료과목내용 has 438 (38.1%) missing valuesMissing
진료과목내용명 has 438 (38.1%) missing valuesMissing
지정취소일자 has 1150 (100.0%) missing valuesMissing
완화의료지정형태 has 1150 (100.0%) missing valuesMissing
완화의료담당부서명 has 1150 (100.0%) missing valuesMissing
총인원 has 1150 (100.0%) missing valuesMissing
구조사수 has 1150 (100.0%) missing valuesMissing
최초지정일자 has 1150 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료지정형태 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료담당부서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구조사수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
입원실수 has 691 (60.1%) zerosZeros
병상수 has 687 (59.7%) zerosZeros
총면적 has 31 (2.7%) zerosZeros

Reproduction

Analysis started2024-05-11 01:18:47.652430
Analysis finished2024-05-11 01:18:49.722346
Duration2.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
3130000
1150 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 1150
100.0%

Length

2024-05-11T01:18:49.977327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:18:50.288381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 1150
100.0%

관리번호
Text

UNIQUE 

Distinct1150
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2024-05-11T01:18:50.735958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters28750
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

Unique1150 ?
Unique (%)100.0%

Sample

1st rowPHMA119003130033041100147
2nd rowPHMA119303130033041100001
3rd rowPHMA119653130033041100001
4th rowPHMA119653130033041100002
5th rowPHMA119653130033041100003
ValueCountFrequency (%)
phma119003130033041100147 1
 
0.1%
phma120133130033041100023 1
 
0.1%
phma120133130033041100029 1
 
0.1%
phma120133130033041100028 1
 
0.1%
phma120133130033041100027 1
 
0.1%
phma120133130033041100026 1
 
0.1%
phma120133130033041100025 1
 
0.1%
phma120133130033041100033 1
 
0.1%
phma120133130033041100022 1
 
0.1%
phma120133130033041100031 1
 
0.1%
Other values (1140) 1140
99.1%
2024-05-11T01:18:51.742068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8829
30.7%
1 5790
20.1%
3 5000
17.4%
2 1528
 
5.3%
4 1469
 
5.1%
P 1150
 
4.0%
H 1150
 
4.0%
M 1150
 
4.0%
A 1150
 
4.0%
9 541
 
1.9%
Other values (4) 993
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24150
84.0%
Uppercase Letter 4600
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8829
36.6%
1 5790
24.0%
3 5000
20.7%
2 1528
 
6.3%
4 1469
 
6.1%
9 541
 
2.2%
8 256
 
1.1%
7 251
 
1.0%
5 251
 
1.0%
6 235
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
P 1150
25.0%
H 1150
25.0%
M 1150
25.0%
A 1150
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24150
84.0%
Latin 4600
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8829
36.6%
1 5790
24.0%
3 5000
20.7%
2 1528
 
6.3%
4 1469
 
6.1%
9 541
 
2.2%
8 256
 
1.1%
7 251
 
1.0%
5 251
 
1.0%
6 235
 
1.0%
Latin
ValueCountFrequency (%)
P 1150
25.0%
H 1150
25.0%
M 1150
25.0%
A 1150
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8829
30.7%
1 5790
20.1%
3 5000
17.4%
2 1528
 
5.3%
4 1469
 
5.1%
P 1150
 
4.0%
H 1150
 
4.0%
M 1150
 
4.0%
A 1150
 
4.0%
9 541
 
1.9%
Other values (4) 993
 
3.5%
Distinct1032
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
Minimum1900-01-01 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T01:18:52.216735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:18:52.734543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1150
Missing (%)100.0%
Memory size10.2 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
1
757 
3
382 
5
 
9
4
 
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 (%)
1 757
65.8%
3 382
33.2%
5 9
 
0.8%
4 2
 
0.2%

Length

2024-05-11T01:18:53.187319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:18:53.543502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 757
65.8%
3 382
33.2%
5 9
 
0.8%
4 2
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
영업/정상
757 
폐업
382 
제외/삭제/전출
 
9
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.0426087
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 757
65.8%
폐업 382
33.2%
제외/삭제/전출 9
 
0.8%
취소/말소/만료/정지/중지 2
 
0.2%

Length

2024-05-11T01:18:54.017509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:18:54.476433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 757
65.8%
폐업 382
33.2%
제외/삭제/전출 9
 
0.8%
취소/말소/만료/정지/중지 2
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
13
757 
3
382 
15
 
9
24
 
2

Length

Max length2
Median length2
Mean length1.6678261
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 757
65.8%
3 382
33.2%
15 9
 
0.8%
24 2
 
0.2%

Length

2024-05-11T01:18:54.953470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:18:55.364437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 757
65.8%
3 382
33.2%
15 9
 
0.8%
24 2
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
영업중
757 
폐업
382 
전출
 
9
직권폐업
 
2

Length

Max length4
Median length3
Mean length2.6617391
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 757
65.8%
폐업 382
33.2%
전출 9
 
0.8%
직권폐업 2
 
0.2%

Length

2024-05-11T01:18:56.033109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:18:56.403683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 757
65.8%
폐업 382
33.2%
전출 9
 
0.8%
직권폐업 2
 
0.2%

폐업일자
Date

MISSING 

Distinct360
Distinct (%)93.8%
Missing766
Missing (%)66.6%
Memory size9.1 KiB
Minimum2008-01-11 00:00:00
Maximum2024-02-19 00:00:00
2024-05-11T01:18:56.829791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:18:57.378839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
<NA>
1145 
20191231
 
1
20100507
 
1
20170511
 
1
20130309
 
1

Length

Max length8
Median length4
Mean length4.0173913
Min length4

Unique

Unique5 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1145
99.6%
20191231 1
 
0.1%
20100507 1
 
0.1%
20170511 1
 
0.1%
20130309 1
 
0.1%
20200225 1
 
0.1%

Length

2024-05-11T01:18:57.856482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:18:58.420116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1145
99.6%
20191231 1
 
0.1%
20100507 1
 
0.1%
20170511 1
 
0.1%
20130309 1
 
0.1%
20200225 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
<NA>
1145 
20201231
 
1
20100803
 
1
20170610
 
1
20131008
 
1

Length

Max length8
Median length4
Mean length4.0173913
Min length4

Unique

Unique5 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1145
99.6%
20201231 1
 
0.1%
20100803 1
 
0.1%
20170610 1
 
0.1%
20131008 1
 
0.1%
20200630 1
 
0.1%

Length

2024-05-11T01:18:58.919081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:18:59.338032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1145
99.6%
20201231 1
 
0.1%
20100803 1
 
0.1%
20170610 1
 
0.1%
20131008 1
 
0.1%
20200630 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1150
Missing (%)100.0%
Memory size10.2 KiB

전화번호
Text

MISSING 

Distinct1102
Distinct (%)97.3%
Missing18
Missing (%)1.6%
Memory size9.1 KiB
2024-05-11T01:19:00.213334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.19788
Min length8

Characters and Unicode

Total characters11544
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1073 ?
Unique (%)94.8%

Sample

1st row312-0457
2nd row362-8664
3rd row715-3103
4th row713-2531
5th row715-3602
ValueCountFrequency (%)
02-322-2884 3
 
0.3%
02-6922-2006 2
 
0.2%
711-2733 2
 
0.2%
02-707-3555 2
 
0.2%
02-336-6858 2
 
0.2%
702-2880 2
 
0.2%
324-9966 2
 
0.2%
02-313-7522 2
 
0.2%
02-333-8020 2
 
0.2%
372-3636 2
 
0.2%
Other values (1092) 1111
98.1%
2024-05-11T01:19:01.467984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1846
16.0%
2 1775
15.4%
0 1591
13.8%
3 1526
13.2%
7 1156
10.0%
1 838
7.3%
5 831
7.2%
8 582
 
5.0%
6 567
 
4.9%
4 441
 
3.8%
Other values (4) 391
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9691
83.9%
Dash Punctuation 1846
 
16.0%
Math Symbol 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1775
18.3%
0 1591
16.4%
3 1526
15.7%
7 1156
11.9%
1 838
8.6%
5 831
8.6%
8 582
 
6.0%
6 567
 
5.9%
4 441
 
4.6%
9 384
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 1846
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11544
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1846
16.0%
2 1775
15.4%
0 1591
13.8%
3 1526
13.2%
7 1156
10.0%
1 838
7.3%
5 831
7.2%
8 582
 
5.0%
6 567
 
4.9%
4 441
 
3.8%
Other values (4) 391
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11544
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1846
16.0%
2 1775
15.4%
0 1591
13.8%
3 1526
13.2%
7 1156
10.0%
1 838
7.3%
5 831
7.2%
8 582
 
5.0%
6 567
 
4.9%
4 441
 
3.8%
Other values (4) 391
 
3.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1150
Missing (%)100.0%
Memory size10.2 KiB

소재지우편번호
Text

MISSING 

Distinct182
Distinct (%)26.5%
Missing462
Missing (%)40.2%
Memory size9.1 KiB
2024-05-11T01:19:02.213097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1322674
Min length6

Characters and Unicode

Total characters4219
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

Unique70 ?
Unique (%)10.2%

Sample

1st row121859
2nd row121013
3rd row121809
4th row121021
5th row121080
ValueCountFrequency (%)
121807 45
 
6.5%
121100 27
 
3.9%
121210 22
 
3.2%
121200 21
 
3.1%
121080 17
 
2.5%
121231 16
 
2.3%
121010 15
 
2.2%
121815 12
 
1.7%
121805 12
 
1.7%
121817 11
 
1.6%
Other values (172) 490
71.2%
2024-05-11T01:19:03.537125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1626
38.5%
2 949
22.5%
0 506
 
12.0%
8 386
 
9.1%
7 177
 
4.2%
9 120
 
2.8%
5 115
 
2.7%
3 106
 
2.5%
- 91
 
2.2%
4 73
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4128
97.8%
Dash Punctuation 91
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1626
39.4%
2 949
23.0%
0 506
 
12.3%
8 386
 
9.4%
7 177
 
4.3%
9 120
 
2.9%
5 115
 
2.8%
3 106
 
2.6%
4 73
 
1.8%
6 70
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4219
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1626
38.5%
2 949
22.5%
0 506
 
12.0%
8 386
 
9.1%
7 177
 
4.2%
9 120
 
2.8%
5 115
 
2.7%
3 106
 
2.5%
- 91
 
2.2%
4 73
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4219
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1626
38.5%
2 949
22.5%
0 506
 
12.0%
8 386
 
9.1%
7 177
 
4.2%
9 120
 
2.8%
5 115
 
2.7%
3 106
 
2.5%
- 91
 
2.2%
4 73
 
1.7%

지번주소
Text

MISSING 

Distinct975
Distinct (%)92.9%
Missing101
Missing (%)8.8%
Memory size9.1 KiB
2024-05-11T01:19:04.410818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length27.402288
Min length13

Characters and Unicode

Total characters28745
Distinct characters305
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

Unique919 ?
Unique (%)87.6%

Sample

1st row서울특별시 마포구 노고산동 57-5(원준3층)
2nd row서울특별시 마포구 아현동 347번지 17호 2층
3rd row서울특별시마포구 아현3동270-1
4th row서울특별시 마포구 대흥동 257번지 5호
5th row서울특별시 마포구 공덕1동79-10
ValueCountFrequency (%)
마포구 975
 
17.6%
서울특별시 974
 
17.6%
동교동 111
 
2.0%
2층 98
 
1.8%
노고산동 98
 
1.8%
1호 89
 
1.6%
서교동 86
 
1.5%
도화동 85
 
1.5%
서울특별시마포구 74
 
1.3%
3층 71
 
1.3%
Other values (1187) 2888
52.0%
2024-05-11T01:19:05.909682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4506
 
15.7%
1221
 
4.2%
1179
 
4.1%
1128
 
3.9%
1125
 
3.9%
1 1123
 
3.9%
1064
 
3.7%
1062
 
3.7%
1051
 
3.7%
1048
 
3.6%
Other values (295) 14238
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17383
60.5%
Decimal Number 5824
 
20.3%
Space Separator 4506
 
15.7%
Dash Punctuation 354
 
1.2%
Open Punctuation 164
 
0.6%
Close Punctuation 164
 
0.6%
Uppercase Letter 151
 
0.5%
Other Punctuation 149
 
0.5%
Math Symbol 22
 
0.1%
Lowercase Letter 19
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1221
 
7.0%
1179
 
6.8%
1128
 
6.5%
1125
 
6.5%
1064
 
6.1%
1062
 
6.1%
1051
 
6.0%
1048
 
6.0%
1048
 
6.0%
753
 
4.3%
Other values (244) 6704
38.6%
Uppercase Letter
ValueCountFrequency (%)
C 17
11.3%
B 17
11.3%
M 13
8.6%
D 12
7.9%
L 12
7.9%
S 12
7.9%
G 11
 
7.3%
K 10
 
6.6%
I 9
 
6.0%
A 9
 
6.0%
Other values (12) 29
19.2%
Decimal Number
ValueCountFrequency (%)
1 1123
19.3%
2 933
16.0%
3 758
13.0%
4 668
11.5%
5 525
9.0%
0 523
9.0%
6 458
7.9%
7 411
 
7.1%
9 214
 
3.7%
8 211
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
i 4
21.1%
t 3
15.8%
y 3
15.8%
e 2
10.5%
l 2
10.5%
a 2
10.5%
c 1
 
5.3%
s 1
 
5.3%
v 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 141
94.6%
. 6
 
4.0%
? 1
 
0.7%
@ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
4506
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 354
100.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 164
100.0%
Math Symbol
ValueCountFrequency (%)
~ 22
100.0%
Letter Number
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17383
60.5%
Common 11183
38.9%
Latin 179
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1221
 
7.0%
1179
 
6.8%
1128
 
6.5%
1125
 
6.5%
1064
 
6.1%
1062
 
6.1%
1051
 
6.0%
1048
 
6.0%
1048
 
6.0%
753
 
4.3%
Other values (244) 6704
38.6%
Latin
ValueCountFrequency (%)
C 17
 
9.5%
B 17
 
9.5%
M 13
 
7.3%
D 12
 
6.7%
L 12
 
6.7%
S 12
 
6.7%
G 11
 
6.1%
K 10
 
5.6%
I 9
 
5.0%
A 9
 
5.0%
Other values (22) 57
31.8%
Common
ValueCountFrequency (%)
4506
40.3%
1 1123
 
10.0%
2 933
 
8.3%
3 758
 
6.8%
4 668
 
6.0%
5 525
 
4.7%
0 523
 
4.7%
6 458
 
4.1%
7 411
 
3.7%
- 354
 
3.2%
Other values (9) 924
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17383
60.5%
ASCII 11353
39.5%
Number Forms 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4506
39.7%
1 1123
 
9.9%
2 933
 
8.2%
3 758
 
6.7%
4 668
 
5.9%
5 525
 
4.6%
0 523
 
4.6%
6 458
 
4.0%
7 411
 
3.6%
- 354
 
3.1%
Other values (40) 1094
 
9.6%
Hangul
ValueCountFrequency (%)
1221
 
7.0%
1179
 
6.8%
1128
 
6.5%
1125
 
6.5%
1064
 
6.1%
1062
 
6.1%
1051
 
6.0%
1048
 
6.0%
1048
 
6.0%
753
 
4.3%
Other values (244) 6704
38.6%
Number Forms
ValueCountFrequency (%)
9
100.0%

도로명주소
Text

MISSING 

Distinct1022
Distinct (%)95.2%
Missing77
Missing (%)6.7%
Memory size9.1 KiB
2024-05-11T01:19:06.886026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length56
Mean length34.396086
Min length21

Characters and Unicode

Total characters36907
Distinct characters332
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

Unique980 ?
Unique (%)91.3%

Sample

1st row서울특별시 마포구 신촌로 232, 2층 (아현동)
2nd row서울특별시 마포구 굴레방로 1 (아현동)
3rd row서울특별시 마포구 백범로16길 12 (대흥동)
4th row서울특별시 마포구 만리재옛길 61 (공덕동)
5th row서울특별시 마포구 숭문길 147-14 (대흥동)
ValueCountFrequency (%)
서울특별시 1073
 
14.8%
마포구 1073
 
14.8%
2층 239
 
3.3%
3층 139
 
1.9%
양화로 133
 
1.8%
마포대로 123
 
1.7%
동교동 118
 
1.6%
도화동 114
 
1.6%
신촌로 112
 
1.5%
노고산동 102
 
1.4%
Other values (1046) 4027
55.5%
2024-05-11T01:19:08.812490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6184
 
16.8%
, 1580
 
4.3%
1324
 
3.6%
1320
 
3.6%
1284
 
3.5%
1262
 
3.4%
2 1149
 
3.1%
) 1109
 
3.0%
( 1109
 
3.0%
1093
 
3.0%
Other values (322) 19493
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20926
56.7%
Space Separator 6184
 
16.8%
Decimal Number 5613
 
15.2%
Other Punctuation 1585
 
4.3%
Close Punctuation 1109
 
3.0%
Open Punctuation 1109
 
3.0%
Uppercase Letter 204
 
0.6%
Dash Punctuation 87
 
0.2%
Math Symbol 65
 
0.2%
Lowercase Letter 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1324
 
6.3%
1320
 
6.3%
1284
 
6.1%
1262
 
6.0%
1093
 
5.2%
1087
 
5.2%
1083
 
5.2%
1073
 
5.1%
1073
 
5.1%
1069
 
5.1%
Other values (272) 9258
44.2%
Uppercase Letter
ValueCountFrequency (%)
B 33
16.2%
C 23
11.3%
M 19
9.3%
D 17
8.3%
S 15
7.4%
A 14
 
6.9%
L 13
 
6.4%
G 12
 
5.9%
I 11
 
5.4%
K 11
 
5.4%
Other values (12) 36
17.6%
Decimal Number
ValueCountFrequency (%)
2 1149
20.5%
1 1065
19.0%
3 713
12.7%
0 675
12.0%
4 499
8.9%
5 391
 
7.0%
6 352
 
6.3%
7 300
 
5.3%
8 259
 
4.6%
9 210
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
y 3
18.8%
t 3
18.8%
i 3
18.8%
e 2
12.5%
o 1
 
6.2%
w 1
 
6.2%
r 1
 
6.2%
a 1
 
6.2%
b 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 1580
99.7%
. 4
 
0.3%
? 1
 
0.1%
Space Separator
ValueCountFrequency (%)
6184
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%
Math Symbol
ValueCountFrequency (%)
~ 65
100.0%
Letter Number
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20926
56.7%
Common 15752
42.7%
Latin 229
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1324
 
6.3%
1320
 
6.3%
1284
 
6.1%
1262
 
6.0%
1093
 
5.2%
1087
 
5.2%
1083
 
5.2%
1073
 
5.1%
1073
 
5.1%
1069
 
5.1%
Other values (272) 9258
44.2%
Latin
ValueCountFrequency (%)
B 33
14.4%
C 23
 
10.0%
M 19
 
8.3%
D 17
 
7.4%
S 15
 
6.6%
A 14
 
6.1%
L 13
 
5.7%
G 12
 
5.2%
I 11
 
4.8%
K 11
 
4.8%
Other values (22) 61
26.6%
Common
ValueCountFrequency (%)
6184
39.3%
, 1580
 
10.0%
2 1149
 
7.3%
) 1109
 
7.0%
( 1109
 
7.0%
1 1065
 
6.8%
3 713
 
4.5%
0 675
 
4.3%
4 499
 
3.2%
5 391
 
2.5%
Other values (8) 1278
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20926
56.7%
ASCII 15972
43.3%
Number Forms 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6184
38.7%
, 1580
 
9.9%
2 1149
 
7.2%
) 1109
 
6.9%
( 1109
 
6.9%
1 1065
 
6.7%
3 713
 
4.5%
0 675
 
4.2%
4 499
 
3.1%
5 391
 
2.4%
Other values (39) 1498
 
9.4%
Hangul
ValueCountFrequency (%)
1324
 
6.3%
1320
 
6.3%
1284
 
6.1%
1262
 
6.0%
1093
 
5.2%
1087
 
5.2%
1083
 
5.2%
1073
 
5.1%
1073
 
5.1%
1069
 
5.1%
Other values (272) 9258
44.2%
Number Forms
ValueCountFrequency (%)
9
100.0%

도로명우편번호
Text

MISSING 

Distinct225
Distinct (%)21.7%
Missing113
Missing (%)9.8%
Memory size9.1 KiB
2024-05-11T01:19:09.687875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0761813
Min length5

Characters and Unicode

Total characters5264
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

Unique87 ?
Unique (%)8.4%

Sample

1st row04114
2nd row04117
3rd row04205
4th row04126
5th row04173
ValueCountFrequency (%)
04168 54
 
5.2%
04050 46
 
4.4%
04116 31
 
3.0%
04058 28
 
2.7%
03925 25
 
2.4%
03995 24
 
2.3%
04104 23
 
2.2%
04057 20
 
1.9%
04101 19
 
1.8%
03996 19
 
1.8%
Other values (215) 748
72.1%
2024-05-11T01:19:11.069111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1569
29.8%
4 961
18.3%
1 769
14.6%
9 377
 
7.2%
3 371
 
7.0%
2 296
 
5.6%
5 260
 
4.9%
6 247
 
4.7%
8 233
 
4.4%
7 179
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5262
> 99.9%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1569
29.8%
4 961
18.3%
1 769
14.6%
9 377
 
7.2%
3 371
 
7.1%
2 296
 
5.6%
5 260
 
4.9%
6 247
 
4.7%
8 233
 
4.4%
7 179
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1569
29.8%
4 961
18.3%
1 769
14.6%
9 377
 
7.2%
3 371
 
7.0%
2 296
 
5.6%
5 260
 
4.9%
6 247
 
4.7%
8 233
 
4.4%
7 179
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1569
29.8%
4 961
18.3%
1 769
14.6%
9 377
 
7.2%
3 371
 
7.0%
2 296
 
5.6%
5 260
 
4.9%
6 247
 
4.7%
8 233
 
4.4%
7 179
 
3.4%
Distinct1117
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2024-05-11T01:19:12.064273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length7.5982609
Min length3

Characters and Unicode

Total characters8738
Distinct characters444
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1088 ?
Unique (%)94.6%

Sample

1st row아르미성형외과의원
2nd row윤경숙의원
3rd row조치과의원
4th row대흥의원
5th row성신의원
ValueCountFrequency (%)
치과의원 5
 
0.4%
재단법인 4
 
0.3%
메디클린의원 3
 
0.3%
밴스의원 3
 
0.3%
화이트엔젤치과의원 3
 
0.3%
서울메이트치과의원 3
 
0.3%
의원 2
 
0.2%
한국산업보건연구재단 2
 
0.2%
메이퓨어의원 2
 
0.2%
미소짓는한의원 2
 
0.2%
Other values (1132) 1157
97.6%
2024-05-11T01:19:13.400310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1242
 
14.2%
1179
 
13.5%
686
 
7.9%
307
 
3.5%
285
 
3.3%
159
 
1.8%
132
 
1.5%
127
 
1.5%
121
 
1.4%
120
 
1.4%
Other values (434) 4380
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8632
98.8%
Space Separator 36
 
0.4%
Decimal Number 27
 
0.3%
Uppercase Letter 20
 
0.2%
Close Punctuation 8
 
0.1%
Open Punctuation 7
 
0.1%
Other Punctuation 5
 
0.1%
Dash Punctuation 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1242
 
14.4%
1179
 
13.7%
686
 
7.9%
307
 
3.6%
285
 
3.3%
159
 
1.8%
132
 
1.5%
127
 
1.5%
121
 
1.4%
120
 
1.4%
Other values (406) 4274
49.5%
Uppercase Letter
ValueCountFrequency (%)
M 5
25.0%
C 2
 
10.0%
E 2
 
10.0%
R 2
 
10.0%
D 2
 
10.0%
A 1
 
5.0%
L 1
 
5.0%
W 1
 
5.0%
O 1
 
5.0%
V 1
 
5.0%
Other values (2) 2
 
10.0%
Decimal Number
ValueCountFrequency (%)
3 7
25.9%
5 6
22.2%
6 5
18.5%
8 4
14.8%
0 2
 
7.4%
2 1
 
3.7%
4 1
 
3.7%
7 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
? 3
60.0%
. 1
 
20.0%
, 1
 
20.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8632
98.8%
Common 85
 
1.0%
Latin 21
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1242
 
14.4%
1179
 
13.7%
686
 
7.9%
307
 
3.6%
285
 
3.3%
159
 
1.8%
132
 
1.5%
127
 
1.5%
121
 
1.4%
120
 
1.4%
Other values (406) 4274
49.5%
Common
ValueCountFrequency (%)
36
42.4%
) 8
 
9.4%
( 7
 
8.2%
3 7
 
8.2%
5 6
 
7.1%
6 5
 
5.9%
8 4
 
4.7%
? 3
 
3.5%
0 2
 
2.4%
- 2
 
2.4%
Other values (5) 5
 
5.9%
Latin
ValueCountFrequency (%)
M 5
23.8%
C 2
 
9.5%
E 2
 
9.5%
R 2
 
9.5%
D 2
 
9.5%
A 1
 
4.8%
L 1
 
4.8%
W 1
 
4.8%
O 1
 
4.8%
V 1
 
4.8%
Other values (3) 3
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8632
98.8%
ASCII 106
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1242
 
14.4%
1179
 
13.7%
686
 
7.9%
307
 
3.6%
285
 
3.3%
159
 
1.8%
132
 
1.5%
127
 
1.5%
121
 
1.4%
120
 
1.4%
Other values (406) 4274
49.5%
ASCII
ValueCountFrequency (%)
36
34.0%
) 8
 
7.5%
( 7
 
6.6%
3 7
 
6.6%
5 6
 
5.7%
6 5
 
4.7%
M 5
 
4.7%
8 4
 
3.8%
? 3
 
2.8%
0 2
 
1.9%
Other values (18) 23
21.7%
Distinct1078
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
Minimum2008-12-15 10:04:32
Maximum2024-05-09 23:43:19
2024-05-11T01:19:14.052919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:19:14.674393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
U
823 
I
327 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 823
71.6%
I 327
 
28.4%

Length

2024-05-11T01:19:15.261586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:19:15.612667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 823
71.6%
i 327
 
28.4%
Distinct430
Distinct (%)37.4%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T01:19:15.954653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:19:16.491767image/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 size9.1 KiB
의원
612 
치과의원
275 
한의원
262 
보건소
 
1

Length

Max length4
Median length2
Mean length2.7069565
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 612
53.2%
치과의원 275
23.9%
한의원 262
22.8%
보건소 1
 
0.1%

Length

2024-05-11T01:19:17.117731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:19:17.747887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 612
53.2%
치과의원 275
23.9%
한의원 262
22.8%
보건소 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct498
Distinct (%)47.7%
Missing107
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean193714.53
Minimum189286.65
Maximum196697.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T01:19:18.201959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189286.65
5-th percentile190473.02
Q1192365.91
median194000.24
Q3195310.83
95-th percentile195978.44
Maximum196697.87
Range7411.2236
Interquartile range (IQR)2944.9146

Descriptive statistics

Standard deviation1728.9111
Coefficient of variation (CV)0.0089250462
Kurtosis-0.85264743
Mean193714.53
Median Absolute Deviation (MAD)1421.9396
Skewness-0.36602335
Sum2.0204425 × 108
Variance2989133.5
MonotonicityNot monotonic
2024-05-11T01:19:18.630239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195422.175350477 24
 
2.1%
194245.940055929 14
 
1.2%
190125.564768858 13
 
1.1%
193166.430144679 12
 
1.0%
195542.119522775 12
 
1.0%
193185.63385411 11
 
1.0%
195748.06444032 11
 
1.0%
192948.082935166 9
 
0.8%
190250.875091908 9
 
0.8%
195310.825031788 9
 
0.8%
Other values (488) 919
79.9%
(Missing) 107
 
9.3%
ValueCountFrequency (%)
189286.651086068 2
0.2%
189315.310470024 1
 
0.1%
189315.370584751 2
0.2%
189592.30107511 1
 
0.1%
189662.227705 1
 
0.1%
189683.413598 1
 
0.1%
189705.934048 1
 
0.1%
189857.566447564 4
0.3%
190086.625449279 1
 
0.1%
190097.791838986 1
 
0.1%
ValueCountFrequency (%)
196697.874709656 1
 
0.1%
196583.868057127 4
0.3%
196576.645261532 1
 
0.1%
196554.21056849 6
0.5%
196498.931386591 1
 
0.1%
196398.36805857 1
 
0.1%
196221.545738817 1
 
0.1%
196202.35213256 1
 
0.1%
196200.0 3
0.3%
196192.296739217 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct498
Distinct (%)47.7%
Missing107
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean450206.32
Minimum448161.55
Maximum453647.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T01:19:19.211121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448161.55
5-th percentile448677.8
Q1449480.16
median450269.97
Q3450520.73
95-th percentile452720.14
Maximum453647.35
Range5485.8011
Interquartile range (IQR)1040.572

Descriptive statistics

Standard deviation1066.7724
Coefficient of variation (CV)0.002369519
Kurtosis1.2847744
Mean450206.32
Median Absolute Deviation (MAD)414.329
Skewness0.96471114
Sum4.6956519 × 108
Variance1138003.4
MonotonicityNot monotonic
2024-05-11T01:19:19.885606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448787.973520895 24
 
2.1%
450324.154532115 14
 
1.2%
453090.149821248 13
 
1.1%
450425.852790862 12
 
1.0%
448652.176751796 12
 
1.0%
450550.67586236 11
 
1.0%
449145.578789461 11
 
1.0%
450340.205569676 9
 
0.8%
453017.867202928 9
 
0.8%
448677.797932004 9
 
0.8%
Other values (488) 919
79.9%
(Missing) 107
 
9.3%
ValueCountFrequency (%)
448161.548233627 1
 
0.1%
448276.965250949 1
 
0.1%
448393.658663222 2
0.2%
448407.752664604 1
 
0.1%
448411.703822551 1
 
0.1%
448437.479009838 2
0.2%
448438.001206021 1
 
0.1%
448459.488112945 1
 
0.1%
448460.50414883 4
0.3%
448494.347986669 1
 
0.1%
ValueCountFrequency (%)
453647.349314742 2
0.2%
453647.190988422 1
 
0.1%
453577.133041615 2
0.2%
453419.344239 1
 
0.1%
453407.67377 1
 
0.1%
453405.479959 1
 
0.1%
453302.04990022 3
0.3%
453271.198852486 4
0.3%
453231.427685063 1
 
0.1%
453141.676626027 1
 
0.1%
Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
<NA>
438 
의원
369 
치과의원
201 
한의원
142 

Length

Max length4
Median length4
Mean length3.2347826
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 438
38.1%
의원 369
32.1%
치과의원 201
17.5%
한의원 142
 
12.3%

Length

2024-05-11T01:19:20.374007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:19:20.757101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 438
38.1%
의원 369
32.1%
치과의원 201
17.5%
한의원 142
 
12.3%

의료인수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)1.1%
Missing438
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean1.2851124
Minimum0
Maximum18
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T01:19:21.104746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.97010315
Coefficient of variation (CV)0.75487808
Kurtosis140.26489
Mean1.2851124
Median Absolute Deviation (MAD)0
Skewness9.7948869
Sum915
Variance0.94110013
MonotonicityNot monotonic
2024-05-11T01:19:21.501516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 575
50.0%
2 109
 
9.5%
3 17
 
1.5%
4 4
 
0.3%
9 3
 
0.3%
5 2
 
0.2%
0 1
 
0.1%
18 1
 
0.1%
(Missing) 438
38.1%
ValueCountFrequency (%)
0 1
 
0.1%
1 575
50.0%
2 109
 
9.5%
3 17
 
1.5%
4 4
 
0.3%
5 2
 
0.2%
9 3
 
0.3%
18 1
 
0.1%
ValueCountFrequency (%)
18 1
 
0.1%
9 3
 
0.3%
5 2
 
0.2%
4 4
 
0.3%
3 17
 
1.5%
2 109
 
9.5%
1 575
50.0%
0 1
 
0.1%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)1.1%
Missing438
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean0.10252809
Minimum0
Maximum9
Zeros691
Zeros (%)60.1%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T01:19:21.879996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.76262506
Coefficient of variation (CV)7.438206
Kurtosis90.39473
Mean0.10252809
Median Absolute Deviation (MAD)0
Skewness9.1742578
Sum73
Variance0.58159698
MonotonicityNot monotonic
2024-05-11T01:19:22.309854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 691
60.1%
1 8
 
0.7%
2 4
 
0.3%
4 3
 
0.3%
9 2
 
0.2%
7 2
 
0.2%
5 1
 
0.1%
8 1
 
0.1%
(Missing) 438
38.1%
ValueCountFrequency (%)
0 691
60.1%
1 8
 
0.7%
2 4
 
0.3%
4 3
 
0.3%
5 1
 
0.1%
7 2
 
0.2%
8 1
 
0.1%
9 2
 
0.2%
ValueCountFrequency (%)
9 2
 
0.2%
8 1
 
0.1%
7 2
 
0.2%
5 1
 
0.1%
4 3
 
0.3%
2 4
 
0.3%
1 8
 
0.7%
0 691
60.1%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)1.7%
Missing438
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean0.31460674
Minimum0
Maximum29
Zeros687
Zeros (%)59.7%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T01:19:22.741041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5807706
Coefficient of variation (CV)8.2031638
Kurtosis96.974375
Mean0.31460674
Median Absolute Deviation (MAD)0
Skewness9.7346775
Sum224
Variance6.6603771
MonotonicityNot monotonic
2024-05-11T01:19:23.082737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 687
59.7%
1 6
 
0.5%
2 6
 
0.5%
29 2
 
0.2%
20 2
 
0.2%
4 2
 
0.2%
3 2
 
0.2%
5 1
 
0.1%
28 1
 
0.1%
9 1
 
0.1%
Other values (2) 2
 
0.2%
(Missing) 438
38.1%
ValueCountFrequency (%)
0 687
59.7%
1 6
 
0.5%
2 6
 
0.5%
3 2
 
0.2%
4 2
 
0.2%
5 1
 
0.1%
9 1
 
0.1%
20 2
 
0.2%
25 1
 
0.1%
27 1
 
0.1%
ValueCountFrequency (%)
29 2
 
0.2%
28 1
 
0.1%
27 1
 
0.1%
25 1
 
0.1%
20 2
 
0.2%
9 1
 
0.1%
5 1
 
0.1%
4 2
 
0.2%
3 2
 
0.2%
2 6
0.5%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct620
Distinct (%)87.1%
Missing438
Missing (%)38.1%
Infinite0
Infinite (%)0.0%
Mean136.01327
Minimum0
Maximum1387.86
Zeros31
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-05-11T01:19:23.536319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.0055
Q173.0375
median107.65
Q3164.66
95-th percentile348.6095
Maximum1387.86
Range1387.86
Interquartile range (IQR)91.6225

Descriptive statistics

Standard deviation120.13767
Coefficient of variation (CV)0.88327905
Kurtosis32.461797
Mean136.01327
Median Absolute Deviation (MAD)39.465
Skewness4.3488286
Sum96841.45
Variance14433.061
MonotonicityNot monotonic
2024-05-11T01:19:23.992096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 31
 
2.7%
189.75 5
 
0.4%
66.0 3
 
0.3%
143.6 3
 
0.3%
102.47 3
 
0.3%
89.68 3
 
0.3%
170.7 3
 
0.3%
165.0 3
 
0.3%
81.51 3
 
0.3%
164.66 3
 
0.3%
Other values (610) 652
56.7%
(Missing) 438
38.1%
ValueCountFrequency (%)
0.0 31
2.7%
12.89 1
 
0.1%
15.5 1
 
0.1%
20.91 1
 
0.1%
22.95 1
 
0.1%
24.0 1
 
0.1%
24.01 1
 
0.1%
25.95 1
 
0.1%
30.0 1
 
0.1%
30.96 1
 
0.1%
ValueCountFrequency (%)
1387.86 1
0.1%
1215.94 1
0.1%
1098.9 1
0.1%
660.0 1
0.1%
638.58 1
0.1%
626.02 1
0.1%
603.41 1
0.1%
600.49 1
0.1%
528.7 1
0.1%
524.86 1
0.1%

진료과목내용
Text

MISSING 

Distinct306
Distinct (%)43.0%
Missing438
Missing (%)38.1%
Memory size9.1 KiB
2024-05-11T01:19:24.531212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length43
Mean length22.08427
Min length3

Characters and Unicode

Total characters15724
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

Unique243 ?
Unique (%)34.1%

Sample

1st row101
2nd row101 111 114
3rd row201 202 203 204 205 206 207 208 209 210 401
4th row101 111
5th row101 122
ValueCountFrequency (%)
101 180
 
4.4%
114 159
 
3.9%
301 142
 
3.5%
303 142
 
3.5%
308 142
 
3.5%
302 142
 
3.5%
304 142
 
3.5%
305 140
 
3.4%
307 139
 
3.4%
306 138
 
3.4%
Other values (123) 2643
64.3%
2024-05-11T01:19:25.873506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3397
21.6%
0 3333
21.2%
1 2604
16.6%
4 1689
10.7%
3 1669
10.6%
2 1273
 
8.1%
5 441
 
2.8%
8 384
 
2.4%
6 376
 
2.4%
7 333
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12327
78.4%
Space Separator 3397
 
21.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3333
27.0%
1 2604
21.1%
4 1689
13.7%
3 1669
13.5%
2 1273
 
10.3%
5 441
 
3.6%
8 384
 
3.1%
6 376
 
3.1%
7 333
 
2.7%
9 225
 
1.8%
Space Separator
ValueCountFrequency (%)
3397
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15724
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3397
21.6%
0 3333
21.2%
1 2604
16.6%
4 1689
10.7%
3 1669
10.6%
2 1273
 
8.1%
5 441
 
2.8%
8 384
 
2.4%
6 376
 
2.4%
7 333
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15724
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3397
21.6%
0 3333
21.2%
1 2604
16.6%
4 1689
10.7%
3 1669
10.6%
2 1273
 
8.1%
5 441
 
2.8%
8 384
 
2.4%
6 376
 
2.4%
7 333
 
2.1%

진료과목내용명
Text

MISSING 

Distinct174
Distinct (%)24.4%
Missing438
Missing (%)38.1%
Memory size9.1 KiB
2024-05-11T01:19:26.508476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length69
Mean length37.370787
Min length2

Characters and Unicode

Total characters26608
Distinct characters66
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

Unique125 ?
Unique (%)17.6%

Sample

1st row내과
2nd row내과, 소아청소년과, 피부과
3rd row구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 구강악안면방사선과, 구강병리과, 예방치과, 치과
4th row내과, 소아청소년과
5th row내과, 가정의학과
ValueCountFrequency (%)
내과 180
 
4.5%
구강악안면외과 180
 
4.5%
치주과 179
 
4.4%
예방치과 179
 
4.4%
치과보철과 179
 
4.4%
구강내과 178
 
4.4%
치과보존과 178
 
4.4%
소아치과 178
 
4.4%
치과교정과 176
 
4.4%
구강병리과 171
 
4.2%
Other values (34) 2252
55.9%
2024-05-11T01:19:27.665118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4563
17.1%
3318
 
12.5%
, 3318
 
12.5%
1221
 
4.6%
1096
 
4.1%
849
 
3.2%
739
 
2.8%
636
 
2.4%
568
 
2.1%
508
 
1.9%
Other values (56) 9792
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19688
74.0%
Other Punctuation 3602
 
13.5%
Space Separator 3318
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4563
23.2%
1221
 
6.2%
1096
 
5.6%
849
 
4.3%
739
 
3.8%
636
 
3.2%
568
 
2.9%
508
 
2.6%
508
 
2.6%
500
 
2.5%
Other values (53) 8500
43.2%
Other Punctuation
ValueCountFrequency (%)
, 3318
92.1%
? 284
 
7.9%
Space Separator
ValueCountFrequency (%)
3318
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19688
74.0%
Common 6920
 
26.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4563
23.2%
1221
 
6.2%
1096
 
5.6%
849
 
4.3%
739
 
3.8%
636
 
3.2%
568
 
2.9%
508
 
2.6%
508
 
2.6%
500
 
2.5%
Other values (53) 8500
43.2%
Common
ValueCountFrequency (%)
3318
47.9%
, 3318
47.9%
? 284
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19688
74.0%
ASCII 6920
 
26.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4563
23.2%
1221
 
6.2%
1096
 
5.6%
849
 
4.3%
739
 
3.8%
636
 
3.2%
568
 
2.9%
508
 
2.6%
508
 
2.6%
500
 
2.5%
Other values (53) 8500
43.2%
ASCII
ValueCountFrequency (%)
3318
47.9%
, 3318
47.9%
? 284
 
4.1%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1150
Missing (%)100.0%
Memory size10.2 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1150
Missing (%)100.0%
Memory size10.2 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1150
Missing (%)100.0%
Memory size10.2 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
0
712 
<NA>
438 

Length

Max length4
Median length1
Mean length2.1426087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 712
61.9%
<NA> 438
38.1%

Length

2024-05-11T01:19:28.049217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:19:28.386417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 712
61.9%
na 438
38.1%

구급차일반
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
0
712 
<NA>
438 

Length

Max length4
Median length1
Mean length2.1426087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 712
61.9%
<NA> 438
38.1%

Length

2024-05-11T01:19:28.793480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:19:29.134710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 712
61.9%
na 438
38.1%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1150
Missing (%)100.0%
Memory size10.2 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1150
Missing (%)100.0%
Memory size10.2 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
0
712 
<NA>
438 

Length

Max length4
Median length1
Mean length2.1426087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 712
61.9%
<NA> 438
38.1%

Length

2024-05-11T01:19:29.513063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:19:29.889843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 712
61.9%
na 438
38.1%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1150
Missing (%)100.0%
Memory size10.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03130000PHMA11900313003304110014719000101<NA>3폐업3폐업20080111<NA><NA><NA><NA><NA><NA>서울특별시 마포구 노고산동 57-5(원준3층)<NA><NA>아르미성형외과의원2008-12-15 10:04:32I2018-08-31 23:59:59.0의원<NA><NA>의원0000.0101내과<NA><NA><NA>00<NA><NA>0<NA>
13130000PHMA11930313003304110000119901013<NA>3폐업3폐업20201229<NA><NA><NA>312-0457<NA>121859서울특별시 마포구 아현동 347번지 17호 2층서울특별시 마포구 신촌로 232, 2층 (아현동)04114윤경숙의원2020-12-28 20:48:11U2020-12-30 02:40:00.0의원195635.520848450512.777009의원10053.82101 111 114내과, 소아청소년과, 피부과<NA><NA><NA>00<NA><NA>0<NA>
23130000PHMA11965313003304110000119650830<NA>3폐업3폐업20190801<NA><NA><NA>362-8664<NA>121013서울특별시마포구 아현3동270-1서울특별시 마포구 굴레방로 1 (아현동)04117조치과의원2019-07-30 15:56:21U2019-08-01 02:40:00.0치과의원196113.099413450255.542753치과의원1000.0201 202 203 204 205 206 207 208 209 210 401구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 구강악안면방사선과, 구강병리과, 예방치과, 치과<NA><NA><NA>00<NA><NA>0<NA>
33130000PHMA11965313003304110000219650902<NA>3폐업3폐업20110801<NA><NA><NA>715-3103<NA>121809서울특별시 마포구 대흥동 257번지 5호서울특별시 마포구 백범로16길 12 (대흥동)<NA>대흥의원2011-07-25 13:56:15I2018-08-31 23:59:59.0의원194826.639318449427.575759의원10024.01101 111내과, 소아청소년과<NA><NA><NA>00<NA><NA>0<NA>
43130000PHMA11965313003304110000319650909<NA>3폐업3폐업20160427<NA><NA><NA>713-2531<NA>121021서울특별시 마포구 공덕1동79-10서울특별시 마포구 만리재옛길 61 (공덕동)04205성신의원2016-04-27 16:47:00I2018-08-31 23:59:59.0의원196192.296739449647.948256의원1000.0101 122내과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
53130000PHMA11965313003304110000419650923<NA>3폐업3폐업20151201<NA><NA><NA>715-3602<NA>121080서울특별시 마포구 대흥동3-62서울특별시 마포구 숭문길 147-14 (대흥동)04126무송의원2016-08-29 09:25:28I2018-08-31 23:59:59.0의원195184.80207450107.065338의원1000.0101 122내과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
63130000PHMA1196531300330411000051965-12-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-712-0772<NA><NA><NA>서울특별시 마포구 마포대로4나길 13 (도화동)04173안중한의원2024-04-19 04:13:15U2023-12-03 22:01:00.0한의원195186.605649448459.488113<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73130000PHMA1196631300330411000011966-09-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-324-2525<NA>121-893서울특별시 마포구 서교동 371번지 1호서울특별시 마포구 양화로 116 (서교동)04038서울유펜치과의원2023-11-24 10:20:07U2022-10-31 22:06:00.0치과의원192862.297949450164.134609<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83130000PHMA11967313003304110000119671111<NA>3폐업3폐업20111007<NA><NA><NA>715-9308<NA>121070서울특별시 마포구 용강동246-6<NA><NA>동진의원2011-10-07 18:24:33I2018-08-31 23:59:59.0의원<NA><NA>의원1000.0122 101내과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
93130000PHMA11967313003304110000219670414<NA>3폐업3폐업20210208<NA><NA><NA>027157665<NA>121090서울특별시 마포구 염리동9-130서울특별시 마포구 숭문길 220 (염리동)04113명성한의원2021-02-23 18:31:54U2021-02-25 02:40:00.0한의원195214.894094450440.807878한의원1000.0301 302 303 304 305 306 307 308 310한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
11403130000PHMA1202331300330411000192023-12-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-325-7979<NA><NA>서울특별시 마포구 동교동 162-15 7층서울특별시 마포구 양화로 140, 7층 (동교동)04050셀린의원2023-12-28 13:13:00I2022-11-01 21:00:00.0의원193049.598043450327.755897<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11413130000PHMA1202431300330411000012009-07-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2061-6588<NA><NA>서울특별시 마포구 망원동 412-28서울특별시 마포구 망원로8길 39, 2층 (망원동)04011미앤아이의원2024-01-26 15:54:05I2023-11-30 22:08:00.0의원191661.479243450398.358926<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11423130000PHMA1202431300330411000022024-02-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6958-7585<NA><NA>서울특별시 마포구 서교동 394-44 서교제일빌딩서울특별시 마포구 양화로 64, 서교제일빌딩 4층 401호 (서교동)04045연세하루이비인후과의원2024-02-16 00:13:20U2023-12-01 23:08:00.0의원192488.985145449787.214169<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11433130000PHMA1202431300330411000032024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA>023352875<NA><NA>서울특별시 마포구 동교동 166-14 동교동 스타피카소서울특별시 마포구 양화로 176, 동교동 스타피카소 5층 제5FB76호 (동교동)04051박성호 치과의원2024-02-27 18:19:29U2023-12-01 22:09:00.0치과의원193282.1308450549.280167<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11443130000PHMA1202431300330411000042024-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-313-1000<NA><NA>서울특별시 마포구 아현동 275-2 마포 푸르지오 더 센트럴서울특별시 마포구 마포대로 231, 102동 1층 101, 102, 104호 (아현동, 마포 푸르지오 더 센트럴)04117아이키소아청소년과의원2024-03-15 06:13:19U2023-12-02 23:07:00.0의원196055.483353450231.769567<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11453130000PHMA1202431300330411000052024-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6958-8520<NA><NA>서울특별시 마포구 합정동 473 마포 한강 2차 푸르지오서울특별시 마포구 월드컵로3길 14, 3층 309, 310, 311호 (합정동, 마포 한강 2차 푸르지오)04024아산베스트이비인후과의원2024-03-01 06:13:19U2023-12-03 00:03:00.0의원192142.271363449868.964586<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11463130000PHMA1202431300330411000062024-02-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6387-1776<NA><NA>서울특별시 마포구 동교동 162-15서울특별시 마포구 양화로 140, 9층 (동교동)04050유픽의원2024-03-14 21:13:19U2023-12-02 23:06:00.0의원193049.598043450327.755897<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11473130000PHMA1202431300330411000072024-02-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 신수동 66-2 신촌크리닉존서울특별시 마포구 서강로 106, 신촌크리닉존 2층 (신수동)04094위드미의원2024-03-14 23:43:19U2023-12-02 23:06:00.0의원194055.924831450005.235962<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11483130000PHMA1202431300330411000082019-08-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-711-9757<NA><NA>서울특별시 마포구 성산동 446서울특별시 마포구 월드컵북로 233-1, 1층 5호 (성산동)03936피부사랑피부과의원2024-03-21 13:38:34U2023-12-02 22:03:00.0의원191263.451931452207.500654<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11493130000PHMA1202431300330411000092024-04-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3275-1075<NA><NA>서울특별시 마포구 노고산동 40-1서울특별시 마포구 신촌로 128, 3층 (노고산동)04101경희민한의원2024-05-09 09:17:04U2023-12-04 23:01:00.0한의원194624.665636450387.14561<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>