Overview

Dataset statistics

Number of variables41
Number of observations948
Missing cells12386
Missing cells (%)31.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory326.0 KiB
Average record size in memory352.1 B

Variable types

Categorical13
Text8
DateTime4
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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-16233/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (97.9%)Imbalance
휴업종료일자 is highly imbalanced (97.9%)Imbalance
인허가취소일자 has 948 (100.0%) missing valuesMissing
폐업일자 has 599 (63.2%) missing valuesMissing
재개업일자 has 948 (100.0%) missing valuesMissing
전화번호 has 11 (1.2%) missing valuesMissing
소재지면적 has 948 (100.0%) missing valuesMissing
소재지우편번호 has 575 (60.7%) missing valuesMissing
지번주소 has 62 (6.5%) missing valuesMissing
도로명주소 has 172 (18.1%) missing valuesMissing
도로명우편번호 has 191 (20.1%) missing valuesMissing
좌표정보(X) has 186 (19.6%) missing valuesMissing
좌표정보(Y) has 186 (19.6%) missing valuesMissing
의료인수 has 312 (32.9%) missing valuesMissing
입원실수 has 312 (32.9%) missing valuesMissing
병상수 has 312 (32.9%) missing valuesMissing
총면적 has 312 (32.9%) missing valuesMissing
진료과목내용 has 312 (32.9%) missing valuesMissing
진료과목내용명 has 312 (32.9%) missing valuesMissing
지정취소일자 has 948 (100.0%) missing valuesMissing
완화의료지정형태 has 948 (100.0%) missing valuesMissing
완화의료담당부서명 has 948 (100.0%) missing valuesMissing
총인원 has 948 (100.0%) missing valuesMissing
구조사수 has 948 (100.0%) missing valuesMissing
최초지정일자 has 948 (100.0%) missing valuesMissing
총면적 is highly skewed (γ1 = 22.68393439)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
입원실수 has 603 (63.6%) zerosZeros
병상수 has 601 (63.4%) zerosZeros

Reproduction

Analysis started2024-05-11 07:37:59.803417
Analysis finished2024-05-11 07:38:02.399080
Duration2.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
3190000
948 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 948
100.0%

Length

2024-05-11T07:38:02.774624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:38:03.070878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 948
100.0%

관리번호
Text

UNIQUE 

Distinct948
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-05-11T07:38:03.751441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters23700
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

Unique948 ?
Unique (%)100.0%

Sample

1st rowPHMA119653190033041100001
2nd rowPHMA119653190033041100002
3rd rowPHMA119663190033041100001
4th rowPHMA119663190033041100002
5th rowPHMA119663190033041100003
ValueCountFrequency (%)
phma119653190033041100001 1
 
0.1%
phma120103190033041100004 1
 
0.1%
phma120103190033041100018 1
 
0.1%
phma120093190033041100039 1
 
0.1%
phma120093190033041100040 1
 
0.1%
phma120093190033041100041 1
 
0.1%
phma120093190033041100042 1
 
0.1%
phma120093190033041100043 1
 
0.1%
phma120093190033041100044 1
 
0.1%
phma120093190033041100045 1
 
0.1%
Other values (938) 938
98.9%
2024-05-11T07:38:05.003212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7355
31.0%
1 4775
20.1%
3 3116
13.1%
9 1499
 
6.3%
4 1192
 
5.0%
2 1170
 
4.9%
P 948
 
4.0%
H 948
 
4.0%
M 948
 
4.0%
A 948
 
4.0%
Other values (4) 801
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19908
84.0%
Uppercase Letter 3792
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7355
36.9%
1 4775
24.0%
3 3116
15.7%
9 1499
 
7.5%
4 1192
 
6.0%
2 1170
 
5.9%
8 233
 
1.2%
7 206
 
1.0%
6 184
 
0.9%
5 178
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 948
25.0%
H 948
25.0%
M 948
25.0%
A 948
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19908
84.0%
Latin 3792
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7355
36.9%
1 4775
24.0%
3 3116
15.7%
9 1499
 
7.5%
4 1192
 
6.0%
2 1170
 
5.9%
8 233
 
1.2%
7 206
 
1.0%
6 184
 
0.9%
5 178
 
0.9%
Latin
ValueCountFrequency (%)
P 948
25.0%
H 948
25.0%
M 948
25.0%
A 948
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7355
31.0%
1 4775
20.1%
3 3116
13.1%
9 1499
 
6.3%
4 1192
 
5.0%
2 1170
 
4.9%
P 948
 
4.0%
H 948
 
4.0%
M 948
 
4.0%
A 948
 
4.0%
Other values (4) 801
 
3.4%
Distinct857
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
Minimum1965-07-03 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T07:38:05.624622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:38:06.212829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing948
Missing (%)100.0%
Memory size8.5 KiB
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
1
587 
3
351 
5
 
9
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 587
61.9%
3 351
37.0%
5 9
 
0.9%
4 1
 
0.1%

Length

2024-05-11T07:38:06.634347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:38:07.042325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 587
61.9%
3 351
37.0%
5 9
 
0.9%
4 1
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
영업/정상
587 
폐업
351 
제외/삭제/전출
 
9
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length3.9272152
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 587
61.9%
폐업 351
37.0%
제외/삭제/전출 9
 
0.9%
취소/말소/만료/정지/중지 1
 
0.1%

Length

2024-05-11T07:38:07.665653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:38:08.114210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 587
61.9%
폐업 351
37.0%
제외/삭제/전출 9
 
0.9%
취소/말소/만료/정지/중지 1
 
0.1%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
13
587 
3
351 
15
 
9
24
 
1

Length

Max length2
Median length2
Mean length1.6297468
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 587
61.9%
3 351
37.0%
15 9
 
0.9%
24 1
 
0.1%

Length

2024-05-11T07:38:08.747396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:38:09.202270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 587
61.9%
3 351
37.0%
15 9
 
0.9%
24 1
 
0.1%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
영업중
587 
폐업
351 
전출
 
9
직권폐업
 
1

Length

Max length4
Median length3
Mean length2.621308
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 587
61.9%
폐업 351
37.0%
전출 9
 
0.9%
직권폐업 1
 
0.1%

Length

2024-05-11T07:38:09.755747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:38:10.237404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 587
61.9%
폐업 351
37.0%
전출 9
 
0.9%
직권폐업 1
 
0.1%

폐업일자
Date

MISSING 

Distinct327
Distinct (%)93.7%
Missing599
Missing (%)63.2%
Memory size7.5 KiB
Minimum2005-01-24 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T07:38:10.701555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:38:11.201113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
<NA>
944 
20090205
 
1
20170106
 
1
20141208
 
1
20210705
 
1

Length

Max length8
Median length4
Mean length4.0168776
Min length4

Unique

Unique4 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 944
99.6%
20090205 1
 
0.1%
20170106 1
 
0.1%
20141208 1
 
0.1%
20210705 1
 
0.1%

Length

2024-05-11T07:38:11.826084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:38:12.436183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 944
99.6%
20090205 1
 
0.1%
20170106 1
 
0.1%
20141208 1
 
0.1%
20210705 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
<NA>
944 
20090505
 
1
20181231
 
1
20150531
 
1
20210914
 
1

Length

Max length8
Median length4
Mean length4.0168776
Min length4

Unique

Unique4 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 944
99.6%
20090505 1
 
0.1%
20181231 1
 
0.1%
20150531 1
 
0.1%
20210914 1
 
0.1%

Length

2024-05-11T07:38:12.956553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:38:13.464751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 944
99.6%
20090505 1
 
0.1%
20181231 1
 
0.1%
20150531 1
 
0.1%
20210914 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing948
Missing (%)100.0%
Memory size8.5 KiB

전화번호
Text

MISSING 

Distinct882
Distinct (%)94.1%
Missing11
Missing (%)1.2%
Memory size7.5 KiB
2024-05-11T07:38:14.108948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.727855
Min length3

Characters and Unicode

Total characters10052
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique839 ?
Unique (%)89.5%

Sample

1st row02-815-8278
2nd row02-815-3444
3rd row02-814-1842
4th row02-815-3583
5th row02-815-2706
ValueCountFrequency (%)
02-823-2336 6
 
0.6%
833-8601 4
 
0.4%
02-824-1161 4
 
0.4%
02-521-1550 3
 
0.3%
532-2807 3
 
0.3%
813-1972 3
 
0.3%
02-587-8275 3
 
0.3%
02-583-2870 2
 
0.2%
02-3280-7575 2
 
0.2%
534-8875 2
 
0.2%
Other values (872) 905
96.6%
2024-05-11T07:38:15.643564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1735
17.3%
- 1714
17.1%
0 1298
12.9%
8 1162
11.6%
5 1004
10.0%
1 696
6.9%
3 653
 
6.5%
7 644
 
6.4%
4 410
 
4.1%
6 398
 
4.0%
Other values (2) 338
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8337
82.9%
Dash Punctuation 1714
 
17.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1735
20.8%
0 1298
15.6%
8 1162
13.9%
5 1004
12.0%
1 696
8.3%
3 653
 
7.8%
7 644
 
7.7%
4 410
 
4.9%
6 398
 
4.8%
9 337
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 1714
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10052
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1735
17.3%
- 1714
17.1%
0 1298
12.9%
8 1162
11.6%
5 1004
10.0%
1 696
6.9%
3 653
 
6.5%
7 644
 
6.4%
4 410
 
4.1%
6 398
 
4.0%
Other values (2) 338
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10052
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1735
17.3%
- 1714
17.1%
0 1298
12.9%
8 1162
11.6%
5 1004
10.0%
1 696
6.9%
3 653
 
6.5%
7 644
 
6.4%
4 410
 
4.1%
6 398
 
4.0%
Other values (2) 338
 
3.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing948
Missing (%)100.0%
Memory size8.5 KiB

소재지우편번호
Text

MISSING 

Distinct115
Distinct (%)30.8%
Missing575
Missing (%)60.7%
Memory size7.5 KiB
2024-05-11T07:38:16.605881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1608579
Min length6

Characters and Unicode

Total characters2298
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

Unique45 ?
Unique (%)12.1%

Sample

1st row156-031
2nd row156864
3rd row156838
4th row156816
5th row156-806
ValueCountFrequency (%)
156816 25
 
6.7%
156815 16
 
4.3%
156836 14
 
3.8%
156827 13
 
3.5%
156821 13
 
3.5%
156808 12
 
3.2%
156811 10
 
2.7%
156070 8
 
2.1%
156881 8
 
2.1%
156713 7
 
1.9%
Other values (105) 247
66.2%
2024-05-11T07:38:18.293130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 543
23.6%
6 446
19.4%
5 422
18.4%
8 332
14.4%
0 146
 
6.4%
3 107
 
4.7%
2 85
 
3.7%
7 71
 
3.1%
- 60
 
2.6%
9 45
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2238
97.4%
Dash Punctuation 60
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 543
24.3%
6 446
19.9%
5 422
18.9%
8 332
14.8%
0 146
 
6.5%
3 107
 
4.8%
2 85
 
3.8%
7 71
 
3.2%
9 45
 
2.0%
4 41
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2298
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 543
23.6%
6 446
19.4%
5 422
18.4%
8 332
14.4%
0 146
 
6.4%
3 107
 
4.7%
2 85
 
3.7%
7 71
 
3.1%
- 60
 
2.6%
9 45
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2298
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 543
23.6%
6 446
19.4%
5 422
18.4%
8 332
14.4%
0 146
 
6.4%
3 107
 
4.7%
2 85
 
3.7%
7 71
 
3.1%
- 60
 
2.6%
9 45
 
2.0%

지번주소
Text

MISSING 

Distinct803
Distinct (%)90.6%
Missing62
Missing (%)6.5%
Memory size7.5 KiB
2024-05-11T07:38:19.217678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length25.328442
Min length13

Characters and Unicode

Total characters22441
Distinct characters220
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

Unique734 ?
Unique (%)82.8%

Sample

1st row서울특별시 동작구 상도2동 361-106
2nd row서울특별시 동작구 상도1동 680
3rd row서울특별시 동작구 흑석1동 182-5 중앙타워빌딩 501호
4th row서울특별시 동작구 흑석2동 9-27(2층)
5th row서울특별시 동작구 상도1동 467번지 4호
ValueCountFrequency (%)
서울특별시 886
19.4%
동작구 886
19.4%
사당동 203
 
4.5%
상도동 141
 
3.1%
2층 98
 
2.2%
대방동 81
 
1.8%
신대방동 61
 
1.3%
3층 49
 
1.1%
1호 49
 
1.1%
사당2동 47
 
1.0%
Other values (822) 2056
45.1%
2024-05-11T07:38:20.554987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3678
 
16.4%
1803
 
8.0%
1 953
 
4.2%
901
 
4.0%
896
 
4.0%
890
 
4.0%
888
 
4.0%
887
 
4.0%
886
 
3.9%
886
 
3.9%
Other values (210) 9773
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13186
58.8%
Decimal Number 4951
 
22.1%
Space Separator 3678
 
16.4%
Dash Punctuation 357
 
1.6%
Close Punctuation 103
 
0.5%
Open Punctuation 103
 
0.5%
Other Punctuation 49
 
0.2%
Uppercase Letter 11
 
< 0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1803
13.7%
901
 
6.8%
896
 
6.8%
890
 
6.7%
888
 
6.7%
887
 
6.7%
886
 
6.7%
886
 
6.7%
535
 
4.1%
525
 
4.0%
Other values (189) 4089
31.0%
Decimal Number
ValueCountFrequency (%)
1 953
19.2%
2 791
16.0%
3 749
15.1%
4 465
9.4%
0 425
8.6%
5 424
8.6%
6 377
 
7.6%
7 286
 
5.8%
8 248
 
5.0%
9 233
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 8
72.7%
A 1
 
9.1%
J 1
 
9.1%
H 1
 
9.1%
Space Separator
ValueCountFrequency (%)
3678
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 357
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13186
58.8%
Common 9243
41.2%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1803
13.7%
901
 
6.8%
896
 
6.8%
890
 
6.7%
888
 
6.7%
887
 
6.7%
886
 
6.7%
886
 
6.7%
535
 
4.1%
525
 
4.0%
Other values (189) 4089
31.0%
Common
ValueCountFrequency (%)
3678
39.8%
1 953
 
10.3%
2 791
 
8.6%
3 749
 
8.1%
4 465
 
5.0%
0 425
 
4.6%
5 424
 
4.6%
6 377
 
4.1%
- 357
 
3.9%
7 286
 
3.1%
Other values (6) 738
 
8.0%
Latin
ValueCountFrequency (%)
B 8
66.7%
A 1
 
8.3%
J 1
 
8.3%
H 1
 
8.3%
e 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13186
58.8%
ASCII 9255
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3678
39.7%
1 953
 
10.3%
2 791
 
8.5%
3 749
 
8.1%
4 465
 
5.0%
0 425
 
4.6%
5 424
 
4.6%
6 377
 
4.1%
- 357
 
3.9%
7 286
 
3.1%
Other values (11) 750
 
8.1%
Hangul
ValueCountFrequency (%)
1803
13.7%
901
 
6.8%
896
 
6.8%
890
 
6.7%
888
 
6.7%
887
 
6.7%
886
 
6.7%
886
 
6.7%
535
 
4.1%
525
 
4.0%
Other values (189) 4089
31.0%

도로명주소
Text

MISSING 

Distinct721
Distinct (%)92.9%
Missing172
Missing (%)18.1%
Memory size7.5 KiB
2024-05-11T07:38:21.317716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length31.101804
Min length21

Characters and Unicode

Total characters24135
Distinct characters253
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

Unique674 ?
Unique (%)86.9%

Sample

1st row서울특별시 동작구 상도로15길 97 (상도동)
2nd row서울특별시 동작구 흑석로 112, 501호 (흑석동, 중앙타워빌)
3rd row서울특별시 동작구 현충로 102 (흑석동)
4th row서울특별시 동작구 상도로 335 (상도동)
5th row서울특별시 동작구 현충로 111, B동 205호 (흑석동, 명수대현대상가)
ValueCountFrequency (%)
서울특별시 776
 
16.0%
동작구 776
 
16.0%
사당동 269
 
5.5%
2층 191
 
3.9%
상도동 188
 
3.9%
상도로 139
 
2.9%
3층 102
 
2.1%
동작대로 88
 
1.8%
신대방동 84
 
1.7%
사당로 77
 
1.6%
Other values (675) 2168
44.6%
2024-05-11T07:38:22.705649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4085
 
16.9%
1750
 
7.3%
923
 
3.8%
, 858
 
3.6%
819
 
3.4%
815
 
3.4%
) 782
 
3.2%
( 782
 
3.2%
778
 
3.2%
778
 
3.2%
Other values (243) 11765
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14067
58.3%
Space Separator 4085
 
16.9%
Decimal Number 3471
 
14.4%
Other Punctuation 858
 
3.6%
Close Punctuation 782
 
3.2%
Open Punctuation 782
 
3.2%
Dash Punctuation 47
 
0.2%
Uppercase Letter 30
 
0.1%
Math Symbol 12
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1750
 
12.4%
923
 
6.6%
819
 
5.8%
815
 
5.8%
778
 
5.5%
778
 
5.5%
776
 
5.5%
776
 
5.5%
746
 
5.3%
492
 
3.5%
Other values (214) 5414
38.5%
Uppercase Letter
ValueCountFrequency (%)
B 12
40.0%
I 3
 
10.0%
U 2
 
6.7%
N 2
 
6.7%
J 2
 
6.7%
H 2
 
6.7%
D 2
 
6.7%
S 1
 
3.3%
T 1
 
3.3%
E 1
 
3.3%
Other values (2) 2
 
6.7%
Decimal Number
ValueCountFrequency (%)
2 735
21.2%
1 675
19.4%
3 433
12.5%
0 361
10.4%
4 259
 
7.5%
6 256
 
7.4%
5 254
 
7.3%
9 182
 
5.2%
7 166
 
4.8%
8 150
 
4.3%
Space Separator
ValueCountFrequency (%)
4085
100.0%
Other Punctuation
ValueCountFrequency (%)
, 858
100.0%
Close Punctuation
ValueCountFrequency (%)
) 782
100.0%
Open Punctuation
ValueCountFrequency (%)
( 782
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14067
58.3%
Common 10037
41.6%
Latin 31
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1750
 
12.4%
923
 
6.6%
819
 
5.8%
815
 
5.8%
778
 
5.5%
778
 
5.5%
776
 
5.5%
776
 
5.5%
746
 
5.3%
492
 
3.5%
Other values (214) 5414
38.5%
Common
ValueCountFrequency (%)
4085
40.7%
, 858
 
8.5%
) 782
 
7.8%
( 782
 
7.8%
2 735
 
7.3%
1 675
 
6.7%
3 433
 
4.3%
0 361
 
3.6%
4 259
 
2.6%
6 256
 
2.6%
Other values (6) 811
 
8.1%
Latin
ValueCountFrequency (%)
B 12
38.7%
I 3
 
9.7%
U 2
 
6.5%
N 2
 
6.5%
J 2
 
6.5%
H 2
 
6.5%
D 2
 
6.5%
S 1
 
3.2%
T 1
 
3.2%
E 1
 
3.2%
Other values (3) 3
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14067
58.3%
ASCII 10068
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4085
40.6%
, 858
 
8.5%
) 782
 
7.8%
( 782
 
7.8%
2 735
 
7.3%
1 675
 
6.7%
3 433
 
4.3%
0 361
 
3.6%
4 259
 
2.6%
6 256
 
2.5%
Other values (19) 842
 
8.4%
Hangul
ValueCountFrequency (%)
1750
 
12.4%
923
 
6.6%
819
 
5.8%
815
 
5.8%
778
 
5.5%
778
 
5.5%
776
 
5.5%
776
 
5.5%
746
 
5.3%
492
 
3.5%
Other values (214) 5414
38.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct129
Distinct (%)17.0%
Missing191
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean14116.231
Minimum6902
Maximum156877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-05-11T07:38:23.148659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6902
5-th percentile6918.8
Q16959
median7008
Q37037
95-th percentile7073.2
Maximum156877
Range149975
Interquartile range (IQR)78

Descriptive statistics

Standard deviation31897.57
Coefficient of variation (CV)2.2596378
Kurtosis16.192418
Mean14116.231
Median Absolute Deviation (MAD)38
Skewness4.2602311
Sum10685987
Variance1.017455 × 109
MonotonicityNot monotonic
2024-05-11T07:38:23.598397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7008 57
 
6.0%
7013 30
 
3.2%
7041 27
 
2.8%
7010 25
 
2.6%
6997 21
 
2.2%
7071 19
 
2.0%
6979 19
 
2.0%
6956 19
 
2.0%
7055 18
 
1.9%
7011 18
 
1.9%
Other values (119) 504
53.2%
(Missing) 191
 
20.1%
ValueCountFrequency (%)
6902 4
0.4%
6904 7
0.7%
6906 5
0.5%
6908 1
 
0.1%
6909 1
 
0.1%
6910 3
0.3%
6912 4
0.4%
6913 3
0.3%
6914 7
0.7%
6918 3
0.3%
ValueCountFrequency (%)
156877 1
0.1%
156857 1
0.1%
156853 1
0.1%
156852 2
0.2%
156848 1
0.1%
156847 1
0.1%
156839 1
0.1%
156836 1
0.1%
156831 1
0.1%
156830 1
0.1%
Distinct906
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-05-11T07:38:24.136137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length7.3417722
Min length3

Characters and Unicode

Total characters6960
Distinct characters379
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique873 ?
Unique (%)92.1%

Sample

1st row삼우의원
2nd row민진의원
3rd row중앙치과의원
4th row방치과의원
5th row숭실의원
ValueCountFrequency (%)
녹야원한의원 5
 
0.5%
대경한의원 4
 
0.4%
서울미래치과의원 3
 
0.3%
서울치과의원 3
 
0.3%
아름다운한의원 3
 
0.3%
강남성모정형외과의원 3
 
0.3%
연세흉부외과의원 2
 
0.2%
현대치과의원 2
 
0.2%
미앤미이희정치과의원 2
 
0.2%
박달나무한의원 2
 
0.2%
Other values (905) 929
97.0%
2024-05-11T07:38:25.252730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1021
 
14.7%
977
 
14.0%
576
 
8.3%
290
 
4.2%
257
 
3.7%
150
 
2.2%
122
 
1.8%
87
 
1.2%
86
 
1.2%
84
 
1.2%
Other values (369) 3310
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6899
99.1%
Decimal Number 22
 
0.3%
Uppercase Letter 11
 
0.2%
Space Separator 10
 
0.1%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Lowercase Letter 4
 
0.1%
Other Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1021
 
14.8%
977
 
14.2%
576
 
8.3%
290
 
4.2%
257
 
3.7%
150
 
2.2%
122
 
1.8%
87
 
1.3%
86
 
1.2%
84
 
1.2%
Other values (348) 3249
47.1%
Decimal Number
ValueCountFrequency (%)
6 6
27.3%
3 5
22.7%
5 5
22.7%
1 3
13.6%
7 1
 
4.5%
4 1
 
4.5%
2 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
S 3
27.3%
U 2
18.2%
C 2
18.2%
D 1
 
9.1%
J 1
 
9.1%
K 1
 
9.1%
N 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
75.0%
w 1
 
25.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6899
99.1%
Common 46
 
0.7%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1021
 
14.8%
977
 
14.2%
576
 
8.3%
290
 
4.2%
257
 
3.7%
150
 
2.2%
122
 
1.8%
87
 
1.3%
86
 
1.2%
84
 
1.2%
Other values (348) 3249
47.1%
Common
ValueCountFrequency (%)
10
21.7%
6 6
13.0%
( 6
13.0%
) 6
13.0%
3 5
10.9%
5 5
10.9%
1 3
 
6.5%
1
 
2.2%
7 1
 
2.2%
4 1
 
2.2%
Other values (2) 2
 
4.3%
Latin
ValueCountFrequency (%)
e 3
20.0%
S 3
20.0%
U 2
13.3%
C 2
13.3%
D 1
 
6.7%
J 1
 
6.7%
w 1
 
6.7%
K 1
 
6.7%
N 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6899
99.1%
ASCII 60
 
0.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1021
 
14.8%
977
 
14.2%
576
 
8.3%
290
 
4.2%
257
 
3.7%
150
 
2.2%
122
 
1.8%
87
 
1.3%
86
 
1.2%
84
 
1.2%
Other values (348) 3249
47.1%
ASCII
ValueCountFrequency (%)
10
16.7%
6 6
10.0%
( 6
10.0%
) 6
10.0%
3 5
8.3%
5 5
8.3%
1 3
 
5.0%
e 3
 
5.0%
S 3
 
5.0%
U 2
 
3.3%
Other values (10) 11
18.3%
None
ValueCountFrequency (%)
1
100.0%
Distinct787
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
Minimum2008-12-06 16:37:41
Maximum2024-05-09 23:43:15
2024-05-11T07:38:25.926959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:38:26.394180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
U
610 
I
338 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 610
64.3%
I 338
35.7%

Length

2024-05-11T07:38:26.862208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:38:27.280885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 610
64.3%
i 338
35.7%
Distinct333
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T07:38:27.856158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:38:28.541573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
의원
446 
한의원
251 
치과의원
250 
보건소
 
1

Length

Max length4
Median length3
Mean length2.7932489
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
의원 446
47.0%
한의원 251
26.5%
치과의원 250
26.4%
보건소 1
 
0.1%

Length

2024-05-11T07:38:29.231210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:38:29.603416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 446
47.0%
한의원 251
26.5%
치과의원 250
26.4%
보건소 1
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct407
Distinct (%)53.4%
Missing186
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean195672.73
Minimum191484.23
Maximum198354.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-05-11T07:38:30.129529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191484.23
5-th percentile192113.2
Q1193896.38
median195490.55
Q3197717.77
95-th percentile198310.39
Maximum198354.35
Range6870.1189
Interquartile range (IQR)3821.381

Descriptive statistics

Standard deviation2021.8682
Coefficient of variation (CV)0.010332907
Kurtosis-1.2133899
Mean195672.73
Median Absolute Deviation (MAD)1896.1227
Skewness-0.13162179
Sum1.4910262 × 108
Variance4087951.1
MonotonicityNot monotonic
2024-05-11T07:38:30.692391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193218.36400997 17
 
1.8%
198295.843258378 11
 
1.2%
198308.285936457 9
 
0.9%
193554.744988075 8
 
0.8%
198202.472533419 7
 
0.7%
198325.779257298 7
 
0.7%
193699.189949205 7
 
0.7%
197996.381794257 7
 
0.7%
191691.678396263 7
 
0.7%
196587.030630143 7
 
0.7%
Other values (397) 675
71.2%
(Missing) 186
 
19.6%
ValueCountFrequency (%)
191484.231170935 2
 
0.2%
191673.025374635 1
 
0.1%
191677.374890384 1
 
0.1%
191682.980173893 1
 
0.1%
191691.678396263 7
0.7%
191708.87752896 1
 
0.1%
191744.078521535 3
0.3%
191781.745330521 1
 
0.1%
191787.677056618 1
 
0.1%
191803.524952767 1
 
0.1%
ValueCountFrequency (%)
198354.350098982 1
 
0.1%
198338.893662684 1
 
0.1%
198336.02493409 4
0.4%
198332.586618402 5
0.5%
198332.497687081 4
0.4%
198327.80931491 1
 
0.1%
198325.779257298 7
0.7%
198324.792421368 4
0.4%
198321.192662082 1
 
0.1%
198320.791404486 4
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct408
Distinct (%)53.5%
Missing186
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean443724.28
Minimum441627.44
Maximum445928.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-05-11T07:38:31.257254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441627.44
5-th percentile441839.88
Q1442784.71
median444000.1
Q3444686.66
95-th percentile445532.12
Maximum445928.36
Range4300.9207
Interquartile range (IQR)1901.9508

Descriptive statistics

Standard deviation1123.7504
Coefficient of variation (CV)0.0025325421
Kurtosis-1.1536194
Mean443724.28
Median Absolute Deviation (MAD)1011.1527
Skewness-0.084178537
Sum3.381179 × 108
Variance1262815
MonotonicityNot monotonic
2024-05-11T07:38:31.780634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443239.581054145 17
 
1.8%
442507.699069196 11
 
1.2%
442672.602404162 9
 
0.9%
444142.040717888 8
 
0.8%
444190.844599349 7
 
0.7%
442918.664628817 7
 
0.7%
444939.455414947 7
 
0.7%
442818.113681285 7
 
0.7%
445011.250115029 7
 
0.7%
442471.241038085 7
 
0.7%
Other values (398) 675
71.2%
(Missing) 186
 
19.6%
ValueCountFrequency (%)
441627.436611564 2
0.2%
441633.080348522 2
0.2%
441633.951360171 1
 
0.1%
441634.265956603 3
0.3%
441635.715989023 1
 
0.1%
441637.16783987 1
 
0.1%
441638.273666659 3
0.3%
441646.720271413 1
 
0.1%
441650.915453321 1
 
0.1%
441654.723162687 1
 
0.1%
ValueCountFrequency (%)
445928.357302 1
 
0.1%
445764.45259219 1
 
0.1%
445746.932149292 1
 
0.1%
445693.792692222 3
0.3%
445693.456564059 1
 
0.1%
445692.196103762 1
 
0.1%
445686.158478401 2
0.2%
445676.459515991 1
 
0.1%
445647.04636855 1
 
0.1%
445640.214592847 3
0.3%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
<NA>
312 
의원
300 
치과의원
187 
한의원
148 
보건소
 
1

Length

Max length4
Median length4
Mean length3.2099156
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 312
32.9%
의원 300
31.6%
치과의원 187
19.7%
한의원 148
15.6%
보건소 1
 
0.1%

Length

2024-05-11T07:38:32.357095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:38:32.981694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 312
32.9%
의원 300
31.6%
치과의원 187
19.7%
한의원 148
15.6%
보건소 1
 
0.1%

의료인수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)0.9%
Missing312
Missing (%)32.9%
Infinite0
Infinite (%)0.0%
Mean1.1761006
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-05-11T07:38:33.494958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.68994663
Coefficient of variation (CV)0.58663911
Kurtosis70.625586
Mean1.1761006
Median Absolute Deviation (MAD)0
Skewness7.4884128
Sum748
Variance0.47602635
MonotonicityNot monotonic
2024-05-11T07:38:34.157197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 561
59.2%
2 61
 
6.4%
3 8
 
0.8%
8 3
 
0.3%
4 2
 
0.2%
9 1
 
0.1%
(Missing) 312
32.9%
ValueCountFrequency (%)
1 561
59.2%
2 61
 
6.4%
3 8
 
0.8%
4 2
 
0.2%
8 3
 
0.3%
9 1
 
0.1%
ValueCountFrequency (%)
9 1
 
0.1%
8 3
 
0.3%
4 2
 
0.2%
3 8
 
0.8%
2 61
 
6.4%
1 561
59.2%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)1.6%
Missing312
Missing (%)32.9%
Infinite0
Infinite (%)0.0%
Mean0.2091195
Minimum0
Maximum13
Zeros603
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-05-11T07:38:34.648930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1048833
Coefficient of variation (CV)5.2835021
Kurtosis53.343954
Mean0.2091195
Median Absolute Deviation (MAD)0
Skewness6.7754482
Sum133
Variance1.2207671
MonotonicityNot monotonic
2024-05-11T07:38:35.174158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 603
63.6%
1 7
 
0.7%
3 6
 
0.6%
4 6
 
0.6%
2 4
 
0.4%
8 4
 
0.4%
5 3
 
0.3%
13 1
 
0.1%
7 1
 
0.1%
9 1
 
0.1%
(Missing) 312
32.9%
ValueCountFrequency (%)
0 603
63.6%
1 7
 
0.7%
2 4
 
0.4%
3 6
 
0.6%
4 6
 
0.6%
5 3
 
0.3%
7 1
 
0.1%
8 4
 
0.4%
9 1
 
0.1%
13 1
 
0.1%
ValueCountFrequency (%)
13 1
 
0.1%
9 1
 
0.1%
8 4
 
0.4%
7 1
 
0.1%
5 3
 
0.3%
4 6
 
0.6%
3 6
 
0.6%
2 4
 
0.4%
1 7
 
0.7%
0 603
63.6%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)2.5%
Missing312
Missing (%)32.9%
Infinite0
Infinite (%)0.0%
Mean0.46540881
Minimum0
Maximum29
Zeros601
Zeros (%)63.4%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-05-11T07:38:35.738584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.7807661
Coefficient of variation (CV)5.9748892
Kurtosis70.132796
Mean0.46540881
Median Absolute Deviation (MAD)0
Skewness7.9747103
Sum296
Variance7.7326598
MonotonicityNot monotonic
2024-05-11T07:38:36.266142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 601
63.4%
1 6
 
0.6%
7 4
 
0.4%
2 4
 
0.4%
29 3
 
0.3%
4 3
 
0.3%
5 3
 
0.3%
6 2
 
0.2%
3 2
 
0.2%
10 2
 
0.2%
Other values (6) 6
 
0.6%
(Missing) 312
32.9%
ValueCountFrequency (%)
0 601
63.4%
1 6
 
0.6%
2 4
 
0.4%
3 2
 
0.2%
4 3
 
0.3%
5 3
 
0.3%
6 2
 
0.2%
7 4
 
0.4%
9 1
 
0.1%
10 2
 
0.2%
ValueCountFrequency (%)
29 3
0.3%
26 1
 
0.1%
19 1
 
0.1%
18 1
 
0.1%
16 1
 
0.1%
14 1
 
0.1%
10 2
0.2%
9 1
 
0.1%
7 4
0.4%
6 2
0.2%

총면적
Real number (ℝ)

MISSING  SKEWED 

Distinct559
Distinct (%)87.9%
Missing312
Missing (%)32.9%
Infinite0
Infinite (%)0.0%
Mean134.5658
Minimum0
Maximum9162
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-05-11T07:38:36.692310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q173.0375
median100.74
Q3135.5525
95-th percentile270.0625
Maximum9162
Range9162
Interquartile range (IQR)62.515

Descriptive statistics

Standard deviation371.94373
Coefficient of variation (CV)2.7640286
Kurtosis548.91873
Mean134.5658
Median Absolute Deviation (MAD)29.3
Skewness22.683934
Sum85583.85
Variance138342.14
MonotonicityNot monotonic
2024-05-11T07:38:37.234904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 24
 
2.5%
101.58 5
 
0.5%
100.0 4
 
0.4%
82.37 4
 
0.4%
140.16 4
 
0.4%
81.57 3
 
0.3%
196.93 3
 
0.3%
60.0 3
 
0.3%
80.0 3
 
0.3%
85.08 3
 
0.3%
Other values (549) 580
61.2%
(Missing) 312
32.9%
ValueCountFrequency (%)
0.0 1
 
0.1%
8.9 1
 
0.1%
22.68 1
 
0.1%
24.75 1
 
0.1%
26.22 1
 
0.1%
26.55 1
 
0.1%
29.3 1
 
0.1%
29.75 1
 
0.1%
29.77 1
 
0.1%
30.0 24
2.5%
ValueCountFrequency (%)
9162.0 1
0.1%
1393.22 1
0.1%
876.99 1
0.1%
706.1 1
0.1%
669.62 1
0.1%
592.3 1
0.1%
529.62 1
0.1%
482.7 1
0.1%
467.96 1
0.1%
466.78 1
0.1%

진료과목내용
Text

MISSING 

Distinct235
Distinct (%)36.9%
Missing312
Missing (%)32.9%
Memory size7.5 KiB
2024-05-11T07:38:37.756298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length91
Mean length14.327044
Min length3

Characters and Unicode

Total characters9112
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique188 ?
Unique (%)29.6%

Sample

1st row122
2nd row101 111
3rd row401
4th row401
5th row113
ValueCountFrequency (%)
101 169
 
6.9%
401 153
 
6.3%
302 148
 
6.1%
301 148
 
6.1%
303 147
 
6.0%
304 147
 
6.0%
305 144
 
5.9%
114 133
 
5.5%
111 125
 
5.1%
113 98
 
4.0%
Other values (49) 1024
42.0%
2024-05-11T07:38:38.735201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2241
24.6%
0 1848
20.3%
1800
19.8%
3 1215
13.3%
4 844
 
9.3%
2 450
 
4.9%
5 281
 
3.1%
8 139
 
1.5%
6 126
 
1.4%
7 93
 
1.0%
Other values (2) 75
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7311
80.2%
Space Separator 1800
 
19.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2241
30.7%
0 1848
25.3%
3 1215
16.6%
4 844
 
11.5%
2 450
 
6.2%
5 281
 
3.8%
8 139
 
1.9%
6 126
 
1.7%
7 93
 
1.3%
9 74
 
1.0%
Space Separator
ValueCountFrequency (%)
1800
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9112
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2241
24.6%
0 1848
20.3%
1800
19.8%
3 1215
13.3%
4 844
 
9.3%
2 450
 
4.9%
5 281
 
3.1%
8 139
 
1.5%
6 126
 
1.4%
7 93
 
1.0%
Other values (2) 75
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9112
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2241
24.6%
0 1848
20.3%
1800
19.8%
3 1215
13.3%
4 844
 
9.3%
2 450
 
4.9%
5 281
 
3.1%
8 139
 
1.5%
6 126
 
1.4%
7 93
 
1.0%
Other values (2) 75
 
0.8%

진료과목내용명
Text

MISSING 

Distinct179
Distinct (%)28.1%
Missing312
Missing (%)32.9%
Memory size7.5 KiB
2024-05-11T07:38:39.385977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length152
Median length76
Mean length24.169811
Min length2

Characters and Unicode

Total characters15372
Distinct characters68
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

Unique130 ?
Unique (%)20.4%

Sample

1st row가정의학과
2nd row내과, 소아청소년과
3rd row치과
4th row치과
5th row이비인후과
ValueCountFrequency (%)
내과 169
 
6.9%
치과 153
 
6.3%
한방부인과 148
 
6.1%
한방내과 148
 
6.1%
한방소아과 147
 
6.0%
한방안?이비인후?피부과 147
 
6.0%
한방신경정신과 144
 
5.9%
피부과 133
 
5.5%
소아청소년과 125
 
5.1%
이비인후과 98
 
4.0%
Other values (38) 1021
42.0%
2024-05-11T07:38:40.473765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2532
16.5%
, 1797
 
11.7%
1797
 
11.7%
831
 
5.4%
794
 
5.2%
478
 
3.1%
438
 
2.8%
432
 
2.8%
401
 
2.6%
351
 
2.3%
Other values (58) 5521
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11484
74.7%
Other Punctuation 2091
 
13.6%
Space Separator 1797
 
11.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2532
22.0%
831
 
7.2%
794
 
6.9%
478
 
4.2%
438
 
3.8%
432
 
3.8%
401
 
3.5%
351
 
3.1%
349
 
3.0%
327
 
2.8%
Other values (55) 4551
39.6%
Other Punctuation
ValueCountFrequency (%)
, 1797
85.9%
? 294
 
14.1%
Space Separator
ValueCountFrequency (%)
1797
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11484
74.7%
Common 3888
 
25.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2532
22.0%
831
 
7.2%
794
 
6.9%
478
 
4.2%
438
 
3.8%
432
 
3.8%
401
 
3.5%
351
 
3.1%
349
 
3.0%
327
 
2.8%
Other values (55) 4551
39.6%
Common
ValueCountFrequency (%)
, 1797
46.2%
1797
46.2%
? 294
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11484
74.7%
ASCII 3888
 
25.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2532
22.0%
831
 
7.2%
794
 
6.9%
478
 
4.2%
438
 
3.8%
432
 
3.8%
401
 
3.5%
351
 
3.1%
349
 
3.0%
327
 
2.8%
Other values (55) 4551
39.6%
ASCII
ValueCountFrequency (%)
, 1797
46.2%
1797
46.2%
? 294
 
7.6%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing948
Missing (%)100.0%
Memory size8.5 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing948
Missing (%)100.0%
Memory size8.5 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing948
Missing (%)100.0%
Memory size8.5 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
0
636 
<NA>
312 

Length

Max length4
Median length1
Mean length1.9873418
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 636
67.1%
<NA> 312
32.9%

Length

2024-05-11T07:38:41.135650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:38:41.524763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 636
67.1%
na 312
32.9%

구급차일반
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
0
636 
<NA>
312 

Length

Max length4
Median length1
Mean length1.9873418
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 636
67.1%
<NA> 312
32.9%

Length

2024-05-11T07:38:41.903656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:38:42.289809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 636
67.1%
na 312
32.9%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing948
Missing (%)100.0%
Memory size8.5 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing948
Missing (%)100.0%
Memory size8.5 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
0
636 
<NA>
312 

Length

Max length4
Median length1
Mean length1.9873418
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 636
67.1%
<NA> 312
32.9%

Length

2024-05-11T07:38:42.714046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:38:43.057576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 636
67.1%
na 312
32.9%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing948
Missing (%)100.0%
Memory size8.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03190000PHMA11965319003304110000119650703<NA>1영업/정상13영업중<NA><NA><NA><NA>02-815-8278<NA><NA>서울특별시 동작구 상도2동 361-106서울특별시 동작구 상도로15길 97 (상도동)6949삼우의원2017-09-05 18:39:07I2018-08-31 23:59:59.0의원194275.267176444697.698659의원10030.0122가정의학과<NA><NA><NA>00<NA><NA>0<NA>
13190000PHMA11965319003304110000219650830<NA>3폐업3폐업20120216<NA><NA><NA>02-815-3444<NA><NA>서울특별시 동작구 상도1동 680<NA><NA>민진의원2012-02-16 10:48:16I2018-08-31 23:59:59.0의원<NA><NA>의원10030.0101 111내과, 소아청소년과<NA><NA><NA>00<NA><NA>0<NA>
23190000PHMA1196631900330411000011966-05-21<NA>3폐업3폐업2024-02-01<NA><NA><NA>02-814-1842<NA><NA>서울특별시 동작구 흑석1동 182-5 중앙타워빌딩 501호서울특별시 동작구 흑석로 112, 501호 (흑석동, 중앙타워빌)6972중앙치과의원2024-01-23 15:45:40U2023-11-30 22:05:00.0치과의원196539.849136445127.404417<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33190000PHMA11966319003304110000219660610<NA>3폐업3폐업20130113<NA><NA><NA>02-815-3583<NA><NA>서울특별시 동작구 흑석2동 9-27(2층)서울특별시 동작구 현충로 102 (흑석동)156877방치과의원2013-03-04 17:54:46I2018-08-31 23:59:59.0치과의원196824.447222445038.843694치과의원10030.0401치과<NA><NA><NA>00<NA><NA>0<NA>
43190000PHMA1196631900330411000031966-09-23<NA>3폐업3폐업2023-03-12<NA><NA><NA>02-815-2706<NA>156-031서울특별시 동작구 상도1동 467번지 4호서울특별시 동작구 상도로 335 (상도동)6971숭실의원2023-05-12 08:26:17U2022-12-04 23:04:00.0의원195689.350566444039.087225<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53190000PHMA11969319003304110000119691121<NA>3폐업3폐업20170522<NA><NA><NA>02-815-8252<NA>156864서울특별시 동작구 흑석동 10번지 명수대상가 B동 205호서울특별시 동작구 현충로 111, B동 205호 (흑석동, 명수대현대상가)6904차만회치과의원2017-05-22 17:34:03I2018-08-31 23:59:59.0치과의원197006.75241445072.723414치과의원10050.56401치과<NA><NA><NA>00<NA><NA>0<NA>
63190000PHMA11970319003304110000119700202<NA>3폐업3폐업20080501<NA><NA><NA>02-812-7997<NA><NA>서울특별시 동작구 노량진2동 310-160<NA><NA>장이비인후과의원2008-12-06 16:37:41I2018-08-31 23:59:59.0의원<NA><NA>의원10030.0113이비인후과<NA><NA><NA>00<NA><NA>0<NA>
73190000PHMA11971319003304110000119711103<NA>3폐업3폐업20081230<NA><NA><NA>02-814-3402<NA><NA>서울특별시 동작구 노량진2동 235-10<NA><NA>주안과의원2008-12-30 16:43:55I2018-08-31 23:59:59.0의원<NA><NA>의원10030.0112안과<NA><NA><NA>00<NA><NA>0<NA>
83190000PHMA11972319003304110000119720625<NA>3폐업3폐업20180402<NA><NA><NA>02-822-7401<NA><NA>서울특별시 동작구 상도3동 314-7서울특별시 동작구 성대로 20 (상도동)7042성신의원2018-04-02 17:48:52I2018-08-31 23:59:59.0의원193968.774873444151.008241의원20030.0101 111 122내과, 소아청소년과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
93190000PHMA11972319003304110000219720920<NA>3폐업3폐업20090423<NA><NA><NA>02-813-2448<NA><NA>서울특별시 동작구 노량진2동 232-184<NA><NA>김동균산부인과의원2009-04-23 13:20:51I2018-08-31 23:59:59.0의원<NA><NA>의원10030.0110산부인과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
9383190000PHMA1202431900330411000032024-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3280-2804<NA><NA>서울특별시 동작구 신대방동 364-2 더룩스 보라매서울특별시 동작구 여의대방로22길 40, 더룩스 보라매 2층 (신대방동)7058나노라이너치과교정과치과의원2024-03-31 19:30:54U2023-12-04 00:02:00.0치과의원193048.362266443932.255929<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9393190000PHMA1202431900330411000042024-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도1동 666-1 진영빌딩서울특별시 동작구 양녕로 268, 진영빌딩 4층 (상도1동)6968모두본한의원2024-04-02 13:56:13U2023-12-04 00:04:00.0한의원195407.072879444587.560882<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9403190000PHMA1202431900330411000052024-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3471-8575<NA><NA>서울특별시 동작구 사당동 1043-13 산광빌딩서울특별시 동작구 동작대로 7, 산광빌딩 2층 (사당동)7025터한의원2024-04-04 16:36:27U2023-12-04 00:06:00.0한의원198260.606422441663.546704<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9413190000PHMA1202431900330411000062024-03-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-588-7545<NA><NA><NA>서울특별시 동작구 사당로 240, 사당동 새마을금고 회관 3,4층 (사당동)7011오케이한의원2024-04-18 22:13:16U2023-12-03 22:00:00.0한의원197672.560928442293.415605<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9423190000PHMA1202431900330411000072024-03-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-588-7545<NA><NA>서울특별시 동작구 사당동 318-12 사당동 새마을금고 회관서울특별시 동작구 사당로 240, 사당동 새마을금고 회관 3,4층 (사당동)7011사당오케이마디튼튼의원2024-04-12 04:13:18U2023-12-03 23:04:00.0의원197655.576617442308.570791<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9433190000PHMA1202431900330411000082024-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA>028125075<NA><NA>서울특별시 동작구 대방동 394-7 금성빌딩서울특별시 동작구 상도로 65, 금성빌딩 2층 2호 (대방동)6954소리숨이비인후과의원2024-03-29 00:43:14U2023-12-02 21:01:00.0의원193556.607604444199.890393<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9443190000PHMA1202431900330411000092024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 322-19 성대빌딩서울특별시 동작구 국사봉1길 32, 성대빌딩 4층 401호 (상도동)7042닥터명마취통증의학과의원2024-04-19 04:13:23U2023-12-03 22:01:00.0의원193772.646931444071.838723<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9453190000PHMA1202431900330411000102024-04-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6242-2828<NA><NA>서울특별시 동작구 사당동 147-100서울특별시 동작구 동작대로 103, 1,2층 (사당동)7008서울열린치과의원2024-04-26 00:43:15U2023-12-03 22:08:00.0치과의원198313.263455442622.637151<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9463190000PHMA1202431900330411000112024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6956-4888<NA><NA>서울특별시 동작구 사당동 318-12 사당동 새마을금고 회관서울특별시 동작구 사당로 240, 사당동 새마을금고 회관 5층 (사당동)7011수누리내과의원2024-05-02 22:13:15U2023-12-05 00:04:00.0의원197655.576617442308.570791<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9473190000PHMA1202431900330411000122024-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6265-5119<NA><NA>서울특별시 동작구 사당동 147-53 골든시네마타워서울특별시 동작구 동작대로 89, 골든시네마타워 3층 301호,301-1호 (사당동)7013새오름피부과의원2024-05-09 17:46:54U2023-12-04 23:01:00.0의원198295.843258442507.699069<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>