Overview

Dataset statistics

Number of variables41
Number of observations533
Missing cells7938
Missing cells (%)36.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory181.8 KiB
Average record size in memory349.2 B

Variable types

Categorical11
Text8
DateTime7
Unsupported8
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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-16231/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has constant value ""Constant
영업상태코드 is highly imbalanced (50.2%)Imbalance
영업상태명 is highly imbalanced (50.2%)Imbalance
상세영업상태코드 is highly imbalanced (56.9%)Imbalance
상세영업상태명 is highly imbalanced (56.9%)Imbalance
인허가취소일자 has 532 (99.8%) missing valuesMissing
폐업일자 has 357 (67.0%) missing valuesMissing
휴업시작일자 has 524 (98.3%) missing valuesMissing
휴업종료일자 has 524 (98.3%) missing valuesMissing
재개업일자 has 533 (100.0%) missing valuesMissing
전화번호 has 16 (3.0%) missing valuesMissing
소재지면적 has 533 (100.0%) missing valuesMissing
소재지우편번호 has 240 (45.0%) missing valuesMissing
지번주소 has 50 (9.4%) missing valuesMissing
도로명주소 has 36 (6.8%) missing valuesMissing
도로명우편번호 has 53 (9.9%) missing valuesMissing
좌표정보(X) has 50 (9.4%) missing valuesMissing
좌표정보(Y) has 50 (9.4%) missing valuesMissing
의료인수 has 207 (38.8%) missing valuesMissing
입원실수 has 207 (38.8%) missing valuesMissing
병상수 has 207 (38.8%) missing valuesMissing
총면적 has 207 (38.8%) missing valuesMissing
진료과목내용 has 207 (38.8%) missing valuesMissing
진료과목내용명 has 207 (38.8%) missing valuesMissing
지정취소일자 has 533 (100.0%) missing valuesMissing
완화의료지정형태 has 533 (100.0%) missing valuesMissing
완화의료담당부서명 has 533 (100.0%) missing valuesMissing
총인원 has 533 (100.0%) missing valuesMissing
구조사수 has 533 (100.0%) missing valuesMissing
최초지정일자 has 533 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료지정형태 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료담당부서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구조사수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의료인수 has 14 (2.6%) zerosZeros
입원실수 has 301 (56.5%) zerosZeros
병상수 has 299 (56.1%) zerosZeros

Reproduction

Analysis started2024-05-11 06:14:44.545528
Analysis finished2024-05-11 06:14:45.778000
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
3170000
533 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 533
100.0%

Length

2024-05-11T15:14:45.863186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:46.023445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 533
100.0%

관리번호
Text

UNIQUE 

Distinct533
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2024-05-11T15:14:46.230110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters13325
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

Unique533 ?
Unique (%)100.0%

Sample

1st rowPHMA119663170035041100001
2nd rowPHMA119703170035041100001
3rd rowPHMA119703170035041100002
4th rowPHMA119733170035041100001
5th rowPHMA119733170035041100002
ValueCountFrequency (%)
phma119663170035041100001 1
 
0.2%
phma120123170035041100012 1
 
0.2%
phma120143170035041100001 1
 
0.2%
phma120133170035041100017 1
 
0.2%
phma120133170035041100016 1
 
0.2%
phma120133170035041100015 1
 
0.2%
phma120133170035041100014 1
 
0.2%
phma120133170035041100013 1
 
0.2%
phma120133170035041100012 1
 
0.2%
phma120133170035041100011 1
 
0.2%
Other values (523) 523
98.1%
2024-05-11T15:14:46.642043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4190
31.4%
1 2748
20.6%
3 1191
 
8.9%
4 649
 
4.9%
2 643
 
4.8%
7 633
 
4.8%
5 625
 
4.7%
P 533
 
4.0%
H 533
 
4.0%
M 533
 
4.0%
Other values (4) 1047
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11193
84.0%
Uppercase Letter 2132
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4190
37.4%
1 2748
24.6%
3 1191
 
10.6%
4 649
 
5.8%
2 643
 
5.7%
7 633
 
5.7%
5 625
 
5.6%
9 288
 
2.6%
8 127
 
1.1%
6 99
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 533
25.0%
H 533
25.0%
M 533
25.0%
A 533
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11193
84.0%
Latin 2132
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4190
37.4%
1 2748
24.6%
3 1191
 
10.6%
4 649
 
5.8%
2 643
 
5.7%
7 633
 
5.7%
5 625
 
5.6%
9 288
 
2.6%
8 127
 
1.1%
6 99
 
0.9%
Latin
ValueCountFrequency (%)
P 533
25.0%
H 533
25.0%
M 533
25.0%
A 533
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4190
31.4%
1 2748
20.6%
3 1191
 
8.9%
4 649
 
4.9%
2 643
 
4.8%
7 633
 
4.8%
5 625
 
4.7%
P 533
 
4.0%
H 533
 
4.0%
M 533
 
4.0%
Other values (4) 1047
 
7.9%
Distinct501
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum1966-06-25 00:00:00
Maximum2024-03-12 00:00:00
2024-05-11T15:14:46.852540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:47.061915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing532
Missing (%)99.8%
Memory size4.3 KiB
Minimum2023-11-23 00:00:00
Maximum2023-11-23 00:00:00
2024-05-11T15:14:47.225632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:47.367054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
1
352 
3
176 
5
 
3
2
 
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 (%)
1 352
66.0%
3 176
33.0%
5 3
 
0.6%
2 2
 
0.4%

Length

2024-05-11T15:14:47.589217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:47.757659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 352
66.0%
3 176
33.0%
5 3
 
0.6%
2 2
 
0.4%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
영업/정상
352 
폐업
176 
제외/삭제/전출
 
3
휴업
 
2

Length

Max length8
Median length5
Mean length4.0150094
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 352
66.0%
폐업 176
33.0%
제외/삭제/전출 3
 
0.6%
휴업 2
 
0.4%

Length

2024-05-11T15:14:47.968946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:48.166579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 352
66.0%
폐업 176
33.0%
제외/삭제/전출 3
 
0.6%
휴업 2
 
0.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
13
352 
3
176 
15
 
2
2
 
2
99
 
1

Length

Max length2
Median length2
Mean length1.6660413
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 352
66.0%
3 176
33.0%
15 2
 
0.4%
2 2
 
0.4%
99 1
 
0.2%

Length

2024-05-11T15:14:48.484504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:48.791575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 352
66.0%
3 176
33.0%
15 2
 
0.4%
2 2
 
0.4%
99 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
영업중
352 
폐업
176 
전출
 
2
휴업
 
2
삭제
 
1

Length

Max length3
Median length3
Mean length2.6604128
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 352
66.0%
폐업 176
33.0%
전출 2
 
0.4%
휴업 2
 
0.4%
삭제 1
 
0.2%

Length

2024-05-11T15:14:49.002012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:49.182813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 352
66.0%
폐업 176
33.0%
전출 2
 
0.4%
휴업 2
 
0.4%
삭제 1
 
0.2%

폐업일자
Date

MISSING 

Distinct165
Distinct (%)93.8%
Missing357
Missing (%)67.0%
Memory size4.3 KiB
Minimum2007-06-15 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T15:14:49.370910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:49.611815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct9
Distinct (%)100.0%
Missing524
Missing (%)98.3%
Memory size4.3 KiB
Minimum2009-10-16 00:00:00
Maximum2024-04-08 00:00:00
2024-05-11T15:14:49.854483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:50.030276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

휴업종료일자
Date

MISSING 

Distinct9
Distinct (%)100.0%
Missing524
Missing (%)98.3%
Memory size4.3 KiB
Minimum2009-12-31 00:00:00
Maximum2024-05-31 00:00:00
2024-05-11T15:14:50.197026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:50.458921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing533
Missing (%)100.0%
Memory size4.8 KiB

전화번호
Text

MISSING 

Distinct492
Distinct (%)95.2%
Missing16
Missing (%)3.0%
Memory size4.3 KiB
2024-05-11T15:14:50.900161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length9.4719536
Min length8

Characters and Unicode

Total characters4897
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

Unique468 ?
Unique (%)90.5%

Sample

1st row856-9009
2nd row802-0917
3rd row802-0927
4th row028020749
5th row802-0853
ValueCountFrequency (%)
808-8080 3
 
0.6%
891-8275 2
 
0.4%
887-2985 2
 
0.4%
02-855-7528 2
 
0.4%
892-8275 2
 
0.4%
805-2275 2
 
0.4%
02-867-6080 2
 
0.4%
869-8275 2
 
0.4%
02-1666-2500 2
 
0.4%
806-1256 2
 
0.4%
Other values (482) 496
95.9%
2024-05-11T15:14:51.545457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 764
15.6%
8 746
15.2%
2 697
14.2%
- 656
13.4%
5 482
9.8%
7 367
7.5%
6 305
 
6.2%
9 263
 
5.4%
3 245
 
5.0%
1 240
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4241
86.6%
Dash Punctuation 656
 
13.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 764
18.0%
8 746
17.6%
2 697
16.4%
5 482
11.4%
7 367
8.7%
6 305
 
7.2%
9 263
 
6.2%
3 245
 
5.8%
1 240
 
5.7%
4 132
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 656
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4897
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 764
15.6%
8 746
15.2%
2 697
14.2%
- 656
13.4%
5 482
9.8%
7 367
7.5%
6 305
 
6.2%
9 263
 
5.4%
3 245
 
5.0%
1 240
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4897
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 764
15.6%
8 746
15.2%
2 697
14.2%
- 656
13.4%
5 482
9.8%
7 367
7.5%
6 305
 
6.2%
9 263
 
5.4%
3 245
 
5.0%
1 240
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing533
Missing (%)100.0%
Memory size4.8 KiB

소재지우편번호
Text

MISSING 

Distinct87
Distinct (%)29.7%
Missing240
Missing (%)45.0%
Memory size4.3 KiB
2024-05-11T15:14:51.988107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1296928
Min length6

Characters and Unicode

Total characters1796
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

Unique40 ?
Unique (%)13.7%

Sample

1st row153806
2nd row153841
3rd row153855
4th row153857
5th row153857
ValueCountFrequency (%)
153858 19
 
6.5%
153813 16
 
5.5%
153841 16
 
5.5%
153857 14
 
4.8%
153864 11
 
3.8%
153807 11
 
3.8%
153832 9
 
3.1%
153844 8
 
2.7%
153830 8
 
2.7%
153823 7
 
2.4%
Other values (77) 174
59.4%
2024-05-11T15:14:52.613327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 386
21.5%
3 376
20.9%
5 370
20.6%
8 274
15.3%
0 94
 
5.2%
2 71
 
4.0%
7 62
 
3.5%
4 60
 
3.3%
6 47
 
2.6%
- 38
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1758
97.9%
Dash Punctuation 38
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 386
22.0%
3 376
21.4%
5 370
21.0%
8 274
15.6%
0 94
 
5.3%
2 71
 
4.0%
7 62
 
3.5%
4 60
 
3.4%
6 47
 
2.7%
9 18
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1796
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 386
21.5%
3 376
20.9%
5 370
20.6%
8 274
15.3%
0 94
 
5.2%
2 71
 
4.0%
7 62
 
3.5%
4 60
 
3.3%
6 47
 
2.6%
- 38
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1796
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 386
21.5%
3 376
20.9%
5 370
20.6%
8 274
15.3%
0 94
 
5.2%
2 71
 
4.0%
7 62
 
3.5%
4 60
 
3.3%
6 47
 
2.6%
- 38
 
2.1%

지번주소
Text

MISSING 

Distinct431
Distinct (%)89.2%
Missing50
Missing (%)9.4%
Memory size4.3 KiB
2024-05-11T15:14:53.058658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length41
Mean length27.258799
Min length8

Characters and Unicode

Total characters13166
Distinct characters190
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

Unique393 ?
Unique (%)81.4%

Sample

1st row서울특별시 금천구 독산1동 146-1
2nd row서울특별시 금천구 시흥동 836번지 35호
3rd row시흥5동 837-34번지
4th row서울특별시 금천구 시흥1동 870번지
5th row서울특별시 금천구 시흥1동882-47
ValueCountFrequency (%)
서울특별시 456
 
16.8%
금천구 455
 
16.8%
시흥동 156
 
5.7%
독산동 124
 
4.6%
가산동 105
 
3.9%
2층 50
 
1.8%
3호 27
 
1.0%
5호 26
 
1.0%
8호 26
 
1.0%
3층 25
 
0.9%
Other values (493) 1265
46.6%
2024-05-11T15:14:53.746586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2242
 
17.0%
677
 
5.1%
1 585
 
4.4%
498
 
3.8%
473
 
3.6%
472
 
3.6%
466
 
3.5%
458
 
3.5%
457
 
3.5%
456
 
3.5%
Other values (180) 6382
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7690
58.4%
Decimal Number 2955
 
22.4%
Space Separator 2242
 
17.0%
Dash Punctuation 99
 
0.8%
Other Punctuation 60
 
0.5%
Uppercase Letter 50
 
0.4%
Close Punctuation 23
 
0.2%
Open Punctuation 23
 
0.2%
Math Symbol 18
 
0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
677
 
8.8%
498
 
6.5%
473
 
6.2%
472
 
6.1%
466
 
6.1%
458
 
6.0%
457
 
5.9%
456
 
5.9%
456
 
5.9%
456
 
5.9%
Other values (145) 2821
36.7%
Uppercase Letter
ValueCountFrequency (%)
T 9
18.0%
I 8
16.0%
A 7
14.0%
C 4
8.0%
W 3
 
6.0%
B 3
 
6.0%
M 2
 
4.0%
J 2
 
4.0%
H 2
 
4.0%
K 2
 
4.0%
Other values (6) 8
16.0%
Decimal Number
ValueCountFrequency (%)
1 585
19.8%
2 433
14.7%
3 345
11.7%
0 328
11.1%
9 284
9.6%
8 279
9.4%
4 220
 
7.4%
5 216
 
7.3%
7 153
 
5.2%
6 112
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 59
98.3%
. 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
l 4
66.7%
a 2
33.3%
Space Separator
ValueCountFrequency (%)
2242
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7690
58.4%
Common 5420
41.2%
Latin 56
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
677
 
8.8%
498
 
6.5%
473
 
6.2%
472
 
6.1%
466
 
6.1%
458
 
6.0%
457
 
5.9%
456
 
5.9%
456
 
5.9%
456
 
5.9%
Other values (145) 2821
36.7%
Latin
ValueCountFrequency (%)
T 9
16.1%
I 8
14.3%
A 7
12.5%
C 4
 
7.1%
l 4
 
7.1%
W 3
 
5.4%
B 3
 
5.4%
a 2
 
3.6%
M 2
 
3.6%
J 2
 
3.6%
Other values (8) 12
21.4%
Common
ValueCountFrequency (%)
2242
41.4%
1 585
 
10.8%
2 433
 
8.0%
3 345
 
6.4%
0 328
 
6.1%
9 284
 
5.2%
8 279
 
5.1%
4 220
 
4.1%
5 216
 
4.0%
7 153
 
2.8%
Other values (7) 335
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7690
58.4%
ASCII 5476
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2242
40.9%
1 585
 
10.7%
2 433
 
7.9%
3 345
 
6.3%
0 328
 
6.0%
9 284
 
5.2%
8 279
 
5.1%
4 220
 
4.0%
5 216
 
3.9%
7 153
 
2.8%
Other values (25) 391
 
7.1%
Hangul
ValueCountFrequency (%)
677
 
8.8%
498
 
6.5%
473
 
6.2%
472
 
6.1%
466
 
6.1%
458
 
6.0%
457
 
5.9%
456
 
5.9%
456
 
5.9%
456
 
5.9%
Other values (145) 2821
36.7%

도로명주소
Text

MISSING 

Distinct468
Distinct (%)94.2%
Missing36
Missing (%)6.8%
Memory size4.3 KiB
2024-05-11T15:14:54.285029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length50
Mean length34.020121
Min length21

Characters and Unicode

Total characters16908
Distinct characters228
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

Unique440 ?
Unique (%)88.5%

Sample

1st row서울특별시 금천구 금하로 701 (시흥동)
2nd row서울특별시 금천구 시흥대로 272 (시흥동)
3rd row서울특별시 금천구 시흥대로 240 (시흥동)
4th row서울특별시 금천구 금하로11길 6 (시흥동)
5th row서울특별시 금천구 시흥대로 471-1 (독산동)
ValueCountFrequency (%)
서울특별시 497
 
15.3%
금천구 495
 
15.2%
시흥동 199
 
6.1%
시흥대로 171
 
5.3%
독산동 166
 
5.1%
가산동 115
 
3.5%
2층 97
 
3.0%
독산로 65
 
2.0%
가산디지털1로 59
 
1.8%
금하로 57
 
1.8%
Other values (570) 1332
40.9%
2024-05-11T15:14:55.060587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2756
 
16.3%
911
 
5.4%
, 626
 
3.7%
2 581
 
3.4%
1 581
 
3.4%
580
 
3.4%
523
 
3.1%
518
 
3.1%
509
 
3.0%
503
 
3.0%
Other values (218) 8820
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9538
56.4%
Decimal Number 2837
 
16.8%
Space Separator 2756
 
16.3%
Other Punctuation 627
 
3.7%
Close Punctuation 503
 
3.0%
Open Punctuation 503
 
3.0%
Uppercase Letter 84
 
0.5%
Math Symbol 28
 
0.2%
Dash Punctuation 27
 
0.2%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
911
 
9.6%
580
 
6.1%
523
 
5.5%
518
 
5.4%
509
 
5.3%
503
 
5.3%
499
 
5.2%
497
 
5.2%
497
 
5.2%
497
 
5.2%
Other values (178) 4004
42.0%
Uppercase Letter
ValueCountFrequency (%)
A 15
17.9%
T 15
17.9%
I 11
13.1%
C 7
8.3%
B 6
 
7.1%
Y 5
 
6.0%
S 4
 
4.8%
H 4
 
4.8%
G 2
 
2.4%
K 2
 
2.4%
Other values (8) 13
15.5%
Decimal Number
ValueCountFrequency (%)
2 581
20.5%
1 581
20.5%
3 345
12.2%
0 320
11.3%
4 250
8.8%
6 183
 
6.5%
9 166
 
5.9%
7 141
 
5.0%
5 139
 
4.9%
8 131
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
r 1
20.0%
e 1
20.0%
w 1
20.0%
o 1
20.0%
t 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 626
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2756
100.0%
Close Punctuation
ValueCountFrequency (%)
) 503
100.0%
Open Punctuation
ValueCountFrequency (%)
( 503
100.0%
Math Symbol
ValueCountFrequency (%)
~ 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9538
56.4%
Common 7281
43.1%
Latin 89
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
911
 
9.6%
580
 
6.1%
523
 
5.5%
518
 
5.4%
509
 
5.3%
503
 
5.3%
499
 
5.2%
497
 
5.2%
497
 
5.2%
497
 
5.2%
Other values (178) 4004
42.0%
Latin
ValueCountFrequency (%)
A 15
16.9%
T 15
16.9%
I 11
12.4%
C 7
 
7.9%
B 6
 
6.7%
Y 5
 
5.6%
S 4
 
4.5%
H 4
 
4.5%
G 2
 
2.2%
K 2
 
2.2%
Other values (13) 18
20.2%
Common
ValueCountFrequency (%)
2756
37.9%
, 626
 
8.6%
2 581
 
8.0%
1 581
 
8.0%
) 503
 
6.9%
( 503
 
6.9%
3 345
 
4.7%
0 320
 
4.4%
4 250
 
3.4%
6 183
 
2.5%
Other values (7) 633
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9538
56.4%
ASCII 7370
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2756
37.4%
, 626
 
8.5%
2 581
 
7.9%
1 581
 
7.9%
) 503
 
6.8%
( 503
 
6.8%
3 345
 
4.7%
0 320
 
4.3%
4 250
 
3.4%
6 183
 
2.5%
Other values (30) 722
 
9.8%
Hangul
ValueCountFrequency (%)
911
 
9.6%
580
 
6.1%
523
 
5.5%
518
 
5.4%
509
 
5.3%
503
 
5.3%
499
 
5.2%
497
 
5.2%
497
 
5.2%
497
 
5.2%
Other values (178) 4004
42.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)24.0%
Missing53
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean19464.69
Minimum6108
Maximum153864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-05-11T15:14:55.347437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6108
5-th percentile8503
Q18534.5
median8584
Q38628
95-th percentile153807.1
Maximum153864
Range147756
Interquartile range (IQR)93.5

Descriptive statistics

Standard deviation38295.195
Coefficient of variation (CV)1.9674187
Kurtosis8.5151064
Mean19464.69
Median Absolute Deviation (MAD)44
Skewness3.2372041
Sum9343051
Variance1.466522 × 109
MonotonicityNot monotonic
2024-05-11T15:14:55.620209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8628 36
 
6.8%
8584 20
 
3.8%
8523 14
 
2.6%
8568 13
 
2.4%
8626 13
 
2.4%
8507 13
 
2.4%
8506 12
 
2.3%
8511 12
 
2.3%
8644 12
 
2.3%
8632 10
 
1.9%
Other values (105) 325
61.0%
(Missing) 53
 
9.9%
ValueCountFrequency (%)
6108 1
 
0.2%
8501 5
 
0.9%
8502 10
1.9%
8503 10
1.9%
8504 2
 
0.4%
8505 2
 
0.4%
8506 12
2.3%
8507 13
2.4%
8510 6
1.1%
8511 12
2.3%
ValueCountFrequency (%)
153864 1
 
0.2%
153863 1
 
0.2%
153858 2
 
0.4%
153857 1
 
0.2%
153856 1
 
0.2%
153844 1
 
0.2%
153841 3
0.6%
153832 2
 
0.4%
153830 5
0.9%
153823 1
 
0.2%
Distinct510
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2024-05-11T15:14:55.996584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length7.4840525
Min length3

Characters and Unicode

Total characters3989
Distinct characters309
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

Unique489 ?
Unique (%)91.7%

Sample

1st row오영희의원
2nd row신진한의원
3rd row김진수치과의원
4th row오세료한의원
5th row장안의원
ValueCountFrequency (%)
가산연합의원 3
 
0.5%
우림연합의원 3
 
0.5%
이플란트치과의원 2
 
0.4%
한의원 2
 
0.4%
경희한의원 2
 
0.4%
늘봄치과의원 2
 
0.4%
서울소나무치과의원 2
 
0.4%
웰치과의원 2
 
0.4%
유정한의원 2
 
0.4%
서울믿음치과의원 2
 
0.4%
Other values (515) 528
96.0%
2024-05-11T15:14:56.671912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
565
 
14.2%
542
 
13.6%
324
 
8.1%
155
 
3.9%
145
 
3.6%
67
 
1.7%
65
 
1.6%
63
 
1.6%
60
 
1.5%
55
 
1.4%
Other values (299) 1948
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3939
98.7%
Space Separator 17
 
0.4%
Open Punctuation 9
 
0.2%
Close Punctuation 9
 
0.2%
Decimal Number 6
 
0.2%
Uppercase Letter 4
 
0.1%
Lowercase Letter 3
 
0.1%
Other Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
565
 
14.3%
542
 
13.8%
324
 
8.2%
155
 
3.9%
145
 
3.7%
67
 
1.7%
65
 
1.7%
63
 
1.6%
60
 
1.5%
55
 
1.4%
Other values (286) 1898
48.2%
Uppercase Letter
ValueCountFrequency (%)
T 1
25.0%
I 1
25.0%
W 1
25.0%
R 1
25.0%
Decimal Number
ValueCountFrequency (%)
3 2
33.3%
6 2
33.3%
5 2
33.3%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3939
98.7%
Common 43
 
1.1%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
565
 
14.3%
542
 
13.8%
324
 
8.2%
155
 
3.9%
145
 
3.7%
67
 
1.7%
65
 
1.7%
63
 
1.6%
60
 
1.5%
55
 
1.4%
Other values (286) 1898
48.2%
Common
ValueCountFrequency (%)
17
39.5%
( 9
20.9%
) 9
20.9%
3 2
 
4.7%
6 2
 
4.7%
5 2
 
4.7%
. 1
 
2.3%
- 1
 
2.3%
Latin
ValueCountFrequency (%)
e 3
42.9%
T 1
 
14.3%
I 1
 
14.3%
W 1
 
14.3%
R 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3939
98.7%
ASCII 50
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
565
 
14.3%
542
 
13.8%
324
 
8.2%
155
 
3.9%
145
 
3.7%
67
 
1.7%
65
 
1.7%
63
 
1.6%
60
 
1.5%
55
 
1.4%
Other values (286) 1898
48.2%
ASCII
ValueCountFrequency (%)
17
34.0%
( 9
18.0%
) 9
18.0%
e 3
 
6.0%
3 2
 
4.0%
6 2
 
4.0%
5 2
 
4.0%
. 1
 
2.0%
T 1
 
2.0%
I 1
 
2.0%
Other values (3) 3
 
6.0%
Distinct457
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum2009-02-24 17:03:40
Maximum2024-05-09 23:43:16
2024-05-11T15:14:56.903495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:57.107964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
U
327 
I
206 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 327
61.4%
I 206
38.6%

Length

2024-05-11T15:14:57.322387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:57.491788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 327
61.4%
i 206
38.6%
Distinct246
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T15:14:57.684614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:14:57.915186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
의원
264 
치과의원
152 
한의원
116 
보건소
 
1

Length

Max length4
Median length3
Mean length2.7898687
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
의원 264
49.5%
치과의원 152
28.5%
한의원 116
21.8%
보건소 1
 
0.2%

Length

2024-05-11T15:14:58.164588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:58.366493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 264
49.5%
치과의원 152
28.5%
한의원 116
21.8%
보건소 1
 
0.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct245
Distinct (%)50.7%
Missing50
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean190940.67
Minimum189055.14
Maximum203194.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-05-11T15:14:58.888761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189055.14
5-th percentile189434.72
Q1190498.33
median191164.1
Q3191389.03
95-th percentile191966.19
Maximum203194.72
Range14139.579
Interquartile range (IQR)890.70033

Descriptive statistics

Standard deviation976.82204
Coefficient of variation (CV)0.0051158405
Kurtosis50.279735
Mean190940.67
Median Absolute Deviation (MAD)325.7801
Skewness3.7610726
Sum92224346
Variance954181.29
MonotonicityNot monotonic
2024-05-11T15:14:59.107272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190858.649482406 15
 
2.8%
189538.020935968 12
 
2.3%
191234.143902029 11
 
2.1%
189452.382474246 10
 
1.9%
191203.246076285 9
 
1.7%
189378.332493727 8
 
1.5%
191917.450107657 7
 
1.3%
191823.026849977 6
 
1.1%
192742.326147617 6
 
1.1%
190873.400602454 6
 
1.1%
Other values (235) 393
73.7%
(Missing) 50
 
9.4%
ValueCountFrequency (%)
189055.138252216 2
 
0.4%
189089.927764903 1
 
0.2%
189228.282678816 2
 
0.4%
189232.30642848 4
0.8%
189282.557380259 1
 
0.2%
189350.592434703 1
 
0.2%
189369.53962474 2
 
0.4%
189378.332493727 8
1.5%
189410.77946857 1
 
0.2%
189417.708595762 1
 
0.2%
ValueCountFrequency (%)
203194.717288906 1
 
0.2%
192754.34619252 1
 
0.2%
192742.326147617 6
1.1%
192368.43764933 4
0.8%
192350.237217477 1
 
0.2%
192244.730911438 1
 
0.2%
192222.412142273 2
 
0.4%
192160.494815615 1
 
0.2%
192125.176170071 1
 
0.2%
192036.660784786 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct245
Distinct (%)50.7%
Missing50
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean440327.14
Minimum436946.36
Maximum445289.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-05-11T15:14:59.336349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436946.36
5-th percentile438680.86
Q1439087.64
median440409.72
Q3441536.39
95-th percentile442134.93
Maximum445289.19
Range8342.8349
Interquartile range (IQR)2448.7509

Descriptive statistics

Standard deviation1295.2144
Coefficient of variation (CV)0.002941482
Kurtosis-0.89485913
Mean440327.14
Median Absolute Deviation (MAD)1264.8462
Skewness0.048569347
Sum2.1267801 × 108
Variance1677580.2
MonotonicityNot monotonic
2024-05-11T15:14:59.549418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
440808.541334678 15
 
2.8%
441982.427934953 12
 
2.3%
438993.253764531 11
 
2.1%
442205.867457803 10
 
1.9%
439087.640568427 9
 
1.7%
442066.99866487 8
 
1.5%
438699.77460936 7
 
1.3%
438834.378061101 6
 
1.1%
438460.667319682 6
 
1.1%
440849.69904447 6
 
1.1%
Other values (235) 393
73.7%
(Missing) 50
 
9.4%
ValueCountFrequency (%)
436946.358720615 1
 
0.2%
436946.60407049 1
 
0.2%
437689.38449215 2
 
0.4%
437777.824339474 1
 
0.2%
437792.713058127 1
 
0.2%
437914.06299827 1
 
0.2%
437915.621690013 1
 
0.2%
438307.022609784 3
0.6%
438391.928915231 1
 
0.2%
438460.667319682 6
1.1%
ValueCountFrequency (%)
445289.193610516 1
 
0.2%
442569.300676147 1
 
0.2%
442478.356256941 4
 
0.8%
442417.955057116 1
 
0.2%
442309.174987731 1
 
0.2%
442205.867457803 10
1.9%
442174.424111843 1
 
0.2%
442143.206055455 1
 
0.2%
442139.514492212 5
0.9%
442093.648596802 3
 
0.6%
Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
<NA>
207 
의원
163 
치과의원
104 
한의원
58 
보건소
 
1

Length

Max length4
Median length4
Mean length3.2776735
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 207
38.8%
의원 163
30.6%
치과의원 104
19.5%
한의원 58
 
10.9%
보건소 1
 
0.2%

Length

2024-05-11T15:14:59.790515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:14:59.947394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 207
38.8%
의원 163
30.6%
치과의원 104
19.5%
한의원 58
 
10.9%
보건소 1
 
0.2%

의료인수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)2.5%
Missing207
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean1.208589
Minimum0
Maximum7
Zeros14
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-05-11T15:15:00.067549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8372408
Coefficient of variation (CV)0.69274239
Kurtosis24.436796
Mean1.208589
Median Absolute Deviation (MAD)0
Skewness4.2754446
Sum394
Variance0.70097216
MonotonicityNot monotonic
2024-05-11T15:15:00.190061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 263
49.3%
2 34
 
6.4%
0 14
 
2.6%
3 9
 
1.7%
7 3
 
0.6%
4 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
(Missing) 207
38.8%
ValueCountFrequency (%)
0 14
 
2.6%
1 263
49.3%
2 34
 
6.4%
3 9
 
1.7%
4 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
7 3
 
0.6%
ValueCountFrequency (%)
7 3
 
0.6%
6 1
 
0.2%
5 1
 
0.2%
4 1
 
0.2%
3 9
 
1.7%
2 34
 
6.4%
1 263
49.3%
0 14
 
2.6%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)3.7%
Missing207
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean0.4202454
Minimum0
Maximum14
Zeros301
Zeros (%)56.5%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-05-11T15:15:00.298983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.75
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7342047
Coefficient of variation (CV)4.1266476
Kurtosis24.928578
Mean0.4202454
Median Absolute Deviation (MAD)0
Skewness4.8095975
Sum137
Variance3.0074658
MonotonicityNot monotonic
2024-05-11T15:15:00.423542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 301
56.5%
5 5
 
0.9%
1 4
 
0.8%
3 3
 
0.6%
8 3
 
0.6%
4 2
 
0.4%
10 2
 
0.4%
7 2
 
0.4%
14 1
 
0.2%
2 1
 
0.2%
Other values (2) 2
 
0.4%
(Missing) 207
38.8%
ValueCountFrequency (%)
0 301
56.5%
1 4
 
0.8%
2 1
 
0.2%
3 3
 
0.6%
4 2
 
0.4%
5 5
 
0.9%
6 1
 
0.2%
7 2
 
0.4%
8 3
 
0.6%
10 2
 
0.4%
ValueCountFrequency (%)
14 1
 
0.2%
11 1
 
0.2%
10 2
 
0.4%
8 3
0.6%
7 2
 
0.4%
6 1
 
0.2%
5 5
0.9%
4 2
 
0.4%
3 3
0.6%
2 1
 
0.2%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)3.7%
Missing207
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean1.4110429
Minimum0
Maximum29
Zeros299
Zeros (%)56.1%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-05-11T15:15:00.552402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.6717709
Coefficient of variation (CV)4.0195594
Kurtosis16.517559
Mean1.4110429
Median Absolute Deviation (MAD)0
Skewness4.1876775
Sum460
Variance32.168985
MonotonicityNot monotonic
2024-05-11T15:15:00.668661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 299
56.1%
29 10
 
1.9%
3 3
 
0.6%
1 3
 
0.6%
14 3
 
0.6%
19 2
 
0.4%
2 1
 
0.2%
17 1
 
0.2%
6 1
 
0.2%
22 1
 
0.2%
Other values (2) 2
 
0.4%
(Missing) 207
38.8%
ValueCountFrequency (%)
0 299
56.1%
1 3
 
0.6%
2 1
 
0.2%
3 3
 
0.6%
6 1
 
0.2%
10 1
 
0.2%
14 3
 
0.6%
17 1
 
0.2%
19 2
 
0.4%
21 1
 
0.2%
ValueCountFrequency (%)
29 10
1.9%
22 1
 
0.2%
21 1
 
0.2%
19 2
 
0.4%
17 1
 
0.2%
14 3
 
0.6%
10 1
 
0.2%
6 1
 
0.2%
3 3
 
0.6%
2 1
 
0.2%

총면적
Real number (ℝ)

MISSING 

Distinct295
Distinct (%)90.5%
Missing207
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean167.43865
Minimum0
Maximum1566.26
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-05-11T15:15:00.800393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile60.025
Q192.64
median131.78
Q3173.8225
95-th percentile382.2175
Maximum1566.26
Range1566.26
Interquartile range (IQR)81.1825

Descriptive statistics

Standard deviation165.38808
Coefficient of variation (CV)0.98775333
Kurtosis31.414513
Mean167.43865
Median Absolute Deviation (MAD)39.535
Skewness4.8727653
Sum54585
Variance27353.218
MonotonicityNot monotonic
2024-05-11T15:15:00.956946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
0.8%
109.89 3
 
0.6%
69.3 3
 
0.6%
87.8 3
 
0.6%
109.0 3
 
0.6%
160.0 3
 
0.6%
109.5 3
 
0.6%
103.08 2
 
0.4%
120.38 2
 
0.4%
149.58 2
 
0.4%
Other values (285) 298
55.9%
(Missing) 207
38.8%
ValueCountFrequency (%)
0.0 4
0.8%
14.35 1
 
0.2%
31.45 1
 
0.2%
32.56 1
 
0.2%
33.8 1
 
0.2%
35.29 1
 
0.2%
42.56 2
0.4%
51.75 1
 
0.2%
53.72 1
 
0.2%
58.3 1
 
0.2%
ValueCountFrequency (%)
1566.26 1
0.2%
1445.12 1
0.2%
1159.58 1
0.2%
862.92 1
0.2%
823.2 1
0.2%
673.5 1
0.2%
644.19 1
0.2%
631.75 2
0.4%
571.25 1
0.2%
558.75 1
0.2%

진료과목내용
Text

MISSING 

Distinct136
Distinct (%)41.7%
Missing207
Missing (%)38.8%
Memory size4.3 KiB
2024-05-11T15:15:01.227234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length43
Mean length15.06135
Min length3

Characters and Unicode

Total characters4910
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

Unique107 ?
Unique (%)32.8%

Sample

1st row110 111
2nd row301 302 303 304 305 306 307 308 309
3rd row401
4th row122 113 112 101 104 110 115
5th row301 302 303 304 305 306 307 308 309
ValueCountFrequency (%)
101 106
 
8.1%
401 82
 
6.3%
111 79
 
6.0%
114 71
 
5.4%
303 58
 
4.4%
302 58
 
4.4%
301 58
 
4.4%
308 58
 
4.4%
306 57
 
4.4%
304 57
 
4.4%
Other values (40) 625
47.7%
2024-05-11T15:15:01.634728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1239
25.2%
983
20.0%
0 981
20.0%
3 621
12.6%
4 414
 
8.4%
2 199
 
4.1%
5 150
 
3.1%
6 102
 
2.1%
8 95
 
1.9%
7 75
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3927
80.0%
Space Separator 983
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1239
31.6%
0 981
25.0%
3 621
15.8%
4 414
 
10.5%
2 199
 
5.1%
5 150
 
3.8%
6 102
 
2.6%
8 95
 
2.4%
7 75
 
1.9%
9 51
 
1.3%
Space Separator
ValueCountFrequency (%)
983
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4910
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1239
25.2%
983
20.0%
0 981
20.0%
3 621
12.6%
4 414
 
8.4%
2 199
 
4.1%
5 150
 
3.1%
6 102
 
2.1%
8 95
 
1.9%
7 75
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1239
25.2%
983
20.0%
0 981
20.0%
3 621
12.6%
4 414
 
8.4%
2 199
 
4.1%
5 150
 
3.1%
6 102
 
2.1%
8 95
 
1.9%
7 75
 
1.5%

진료과목내용명
Text

MISSING 

Distinct112
Distinct (%)34.4%
Missing207
Missing (%)38.8%
Memory size4.3 KiB
2024-05-11T15:15:01.846260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length67
Mean length24.861963
Min length2

Characters and Unicode

Total characters8105
Distinct characters67
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

Unique85 ?
Unique (%)26.1%

Sample

1st row산부인과, 소아청소년과
2nd row한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과, 한방응급과
3rd row치과
4th row내과, 외과, 산부인과, 안과, 이비인후과, 비뇨의학과, 가정의학과
5th row한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과, 한방응급과
ValueCountFrequency (%)
내과 106
 
8.1%
치과 82
 
6.3%
소아청소년과 79
 
6.0%
피부과 71
 
5.4%
한방소아과 58
 
4.4%
침구과 58
 
4.4%
한방부인과 58
 
4.4%
한방내과 58
 
4.4%
한방재활의학과 57
 
4.4%
한방안?이비인후?피부과 57
 
4.4%
Other values (33) 625
47.7%
2024-05-11T15:15:02.308773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1368
16.9%
, 983
 
12.1%
983
 
12.1%
386
 
4.8%
369
 
4.6%
230
 
2.8%
213
 
2.6%
207
 
2.6%
191
 
2.4%
189
 
2.3%
Other values (57) 2986
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6025
74.3%
Other Punctuation 1097
 
13.5%
Space Separator 983
 
12.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1368
22.7%
386
 
6.4%
369
 
6.1%
230
 
3.8%
213
 
3.5%
207
 
3.4%
191
 
3.2%
189
 
3.1%
187
 
3.1%
180
 
3.0%
Other values (54) 2505
41.6%
Other Punctuation
ValueCountFrequency (%)
, 983
89.6%
? 114
 
10.4%
Space Separator
ValueCountFrequency (%)
983
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6025
74.3%
Common 2080
 
25.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1368
22.7%
386
 
6.4%
369
 
6.1%
230
 
3.8%
213
 
3.5%
207
 
3.4%
191
 
3.2%
189
 
3.1%
187
 
3.1%
180
 
3.0%
Other values (54) 2505
41.6%
Common
ValueCountFrequency (%)
, 983
47.3%
983
47.3%
? 114
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6025
74.3%
ASCII 2080
 
25.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1368
22.7%
386
 
6.4%
369
 
6.1%
230
 
3.8%
213
 
3.5%
207
 
3.4%
191
 
3.2%
189
 
3.1%
187
 
3.1%
180
 
3.0%
Other values (54) 2505
41.6%
ASCII
ValueCountFrequency (%)
, 983
47.3%
983
47.3%
? 114
 
5.5%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing533
Missing (%)100.0%
Memory size4.8 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing533
Missing (%)100.0%
Memory size4.8 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing533
Missing (%)100.0%
Memory size4.8 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
0
326 
<NA>
207 

Length

Max length4
Median length1
Mean length2.1651032
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 326
61.2%
<NA> 207
38.8%

Length

2024-05-11T15:15:02.446498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:02.556334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 326
61.2%
na 207
38.8%

구급차일반
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
0
326 
<NA>
207 

Length

Max length4
Median length1
Mean length2.1651032
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 326
61.2%
<NA> 207
38.8%

Length

2024-05-11T15:15:02.673671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:02.794770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 326
61.2%
na 207
38.8%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing533
Missing (%)100.0%
Memory size4.8 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing533
Missing (%)100.0%
Memory size4.8 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
0
326 
<NA>
207 

Length

Max length4
Median length1
Mean length2.1651032
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 326
61.2%
<NA> 207
38.8%

Length

2024-05-11T15:15:02.920391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:03.038497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 326
61.2%
na 207
38.8%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing533
Missing (%)100.0%
Memory size4.8 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03170000PHMA11966317003504110000119660625<NA>3폐업3폐업20111117<NA><NA><NA>856-9009<NA>153806서울특별시 금천구 독산1동 146-1<NA><NA>오영희의원2011-11-17 16:05:36I2018-08-31 23:59:59.0의원<NA><NA>의원10076.84110 111산부인과, 소아청소년과<NA><NA><NA>00<NA><NA>0<NA>
13170000PHMA11970317003504110000119700602<NA>3폐업3폐업20210426<NA><NA><NA>802-0917<NA>153841서울특별시 금천구 시흥동 836번지 35호서울특별시 금천구 금하로 701 (시흥동)8573신진한의원2021-04-26 14:41:43U2021-04-28 02:40:00.0한의원191786.988598438826.884783한의원100132.6301 302 303 304 305 306 307 308 309한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과, 한방응급과<NA><NA><NA>00<NA><NA>0<NA>
23170000PHMA11970317003504110000219700923<NA>3폐업3폐업20111222<NA><NA><NA>802-0927<NA>153855시흥5동 837-34번지<NA><NA>김진수치과의원2011-12-27 13:12:15I2018-08-31 23:59:59.0치과의원<NA><NA>치과의원10058.3401치과<NA><NA><NA>00<NA><NA>0<NA>
33170000PHMA11973317003504110000119730328<NA>3폐업3폐업20221017<NA><NA><NA>028020749<NA>153857서울특별시 금천구 시흥1동 870번지서울특별시 금천구 시흥대로 272 (시흥동)8624오세료한의원2022-10-17 11:39:06U2021-10-30 23:09:00.0한의원191057.876457439534.325746<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43170000PHMA11973317003504110000219730924<NA>3폐업3폐업20131231<NA><NA><NA>802-0853<NA>153857서울특별시 금천구 시흥1동882-47서울특별시 금천구 시흥대로 240 (시흥동)153857장안의원2014-01-07 18:13:35I2018-08-31 23:59:59.0의원191150.014606439245.123562의원100186.5122 113 112 101 104 110 115내과, 외과, 산부인과, 안과, 이비인후과, 비뇨의학과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
53170000PHMA11976317003504110000119760331<NA>3폐업3폐업20140319<NA><NA><NA>808-8954<NA>153856시흥1동 841-49번지서울특별시 금천구 금하로11길 6 (시흥동)153856시흥한의원2014-04-01 17:19:39I2018-08-31 23:59:59.0한의원191383.045532439124.056129한의원100154.0301 302 303 304 305 306 307 308 309한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과, 한방응급과<NA><NA><NA>00<NA><NA>0<NA>
63170000PHMA11977317003504110000119770819<NA>1영업/정상13영업중<NA><NA><NA><NA>855-0558<NA>153806서울특별시 금천구 독산동 146번지 1호서울특별시 금천구 시흥대로 471-1 (독산동)8531이기훈치과의원2017-09-05 18:39:03I2018-08-31 23:59:59.0치과의원190923.96368441510.743691치과의원1000.0401치과<NA><NA><NA>00<NA><NA>0<NA>
73170000PHMA11977317003504110000219771025<NA>3폐업3폐업20200630<NA><NA><NA>028038629<NA><NA>서울특별시 금천구 시흥동 912번지 20호 에벤에셀프라자 3층서울특별시 금천구 금하로 720, 3층 (시흥동, 에벤에셀프라자)8644해동한의원2020-06-30 16:41:06U2020-07-02 02:40:00.0한의원191917.450108438699.774609한의원10090.9301 302 303 304 305 306 307 308 309한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과, 한방응급과<NA><NA><NA>00<NA><NA>0<NA>
83170000PHMA11978317003504110000119780520<NA>1영업/정상13영업중<NA><NA><NA><NA>855-7547<NA>153823서울특별시 금천구 독산동 967번지 9호서울특별시 금천구 시흥대로 474 (독산동)8540김세진치과의원2017-09-05 18:39:03I2018-08-31 23:59:59.0치과의원190999.108992441526.689933치과의원10042.56401치과<NA><NA><NA>00<NA><NA>0<NA>
93170000PHMA11978317003504110000219781113<NA>1영업/정상13영업중<NA><NA><NA><NA>802-1323<NA>153858서울특별시 금천구 시흥동 903번지 1호서울특별시 금천구 시흥대로 192 (시흥동)8630박재관치과의원2017-09-05 18:39:03I2018-08-31 23:59:59.0치과의원191299.684889438778.294155치과의원100102.31401치과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
5233170000PHMA1202331700350411000102023-05-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2059-1133<NA><NA><NA>서울특별시 금천구 가산디지털1로 146, 106호 (가산동)8507리인한의원2023-12-04 09:56:06U2022-11-02 00:06:00.0한의원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5243170000PHMA1202331700350411000112023-08-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 219-5 가산테라타워 231,232호서울특별시 금천구 디지털로10길 78, 가산테라타워 231,232호 (가산동)8517가산테라치과의원2024-03-15 05:13:12U2023-12-02 23:07:00.0치과의원190185.054136441381.452927<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5253170000PHMA1202331700350411000122023-10-27<NA>3폐업3폐업2024-01-15<NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 1013 벽산5단지아파트 상가동 212~2호서울특별시 금천구 금하로 816, 상가동 212~217호 (시흥동, 벽산5단지아파트)8646의사랑의원2024-01-16 13:05:04U2023-11-30 23:08:00.0의원192742.326148438460.66732<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5263170000PHMA1202331700350411000132018-06-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-514-8901<NA><NA>서울특별시 금천구 가산동 219-5 가산테라타워 227호서울특별시 금천구 디지털로10길 78, 가산테라타워 227호 (가산동)8517지쉘의원2023-11-27 14:25:47U2022-10-31 22:09:00.0의원190185.054136441381.452927<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5273170000PHMA1202331700350411000142018-06-142023-11-235제외/삭제/전출99삭제<NA><NA><NA><NA>02-514-8901<NA><NA>서울특별시 강남구 논현동 231-9 팍스타워서울특별시 강남구 언주로 609, 팍스타워 B동 지하1층 8호 (논현동)6108지쉘의원2023-11-23 15:19:50I2022-10-31 22:05:00.0의원203194.717289445289.193611<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5283170000PHMA1202331700350411000152023-11-17<NA>1영업/정상13영업중<NA><NA><NA><NA>-1644-4930<NA><NA><NA>서울특별시 금천구 벚꽃로36길 30, 207~214호 (가산동)8511가산퍼스트정형외과의원2024-04-12 00:13:17U2023-12-03 23:04:00.0의원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5293170000PHMA1202431700350411000012024-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2627-3377<NA><NA>서울특별시 금천구 가산동 481-4 벽산디지털밸리6차 2층 214호서울특별시 금천구 가산디지털1로 219, 벽산디지털밸리6차 2층 214호 (가산동)8501연세우리치과의원2024-02-23 04:13:12U2023-12-01 22:05:00.0치과의원189232.306428442478.356257<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5303170000PHMA1202431700350411000022024-01-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-805-2669<NA><NA>서울특별시 금천구 시흥동 889-8 비즈메드빌딩 403호서울특별시 금천구 시흥대로 214, 비즈메드빌딩 403호 (시흥동)8628평강한의원2024-02-11 18:43:17U2023-12-01 23:03:00.0한의원191234.143902438993.253765<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5313170000PHMA1202431700350411000032024-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6956-7554<NA><NA>서울특별시 금천구 시흥동 1013 벽산5단지아파트 상가1동 2층 212~217호서울특별시 금천구 금하로 816, 상가1동 2층 212~217호 (시흥동, 벽산5단지아파트)8646의사랑의원2024-02-23 00:43:17U2023-12-01 22:05:00.0의원192742.326148438460.66732<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5323170000PHMA1202431700350411000042024-03-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2225-8410<NA><NA>서울특별시 금천구 가산동 691 대륭테크노타운 20차 2층 201호,202호서울특별시 금천구 가산디지털1로 5, 대륭테크노타운 20차 2층 201호,202호 (가산동)8594아침해 정신건강의학과의원2024-03-28 21:43:13U2023-12-02 21:00:00.0의원189920.528611440521.855249<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>