Overview

Dataset statistics

Number of variables41
Number of observations525
Missing cells7980
Missing cells (%)37.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory179.6 KiB
Average record size in memory350.3 B

Variable types

Categorical11
Text8
DateTime6
Unsupported9
Numeric7

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),의료기관종별명,의료인수,입원실수,병상수,총면적,진료과목내용,진료과목내용명,지정취소일자,완화의료지정형태,완화의료담당부서명,구급차특수,구급차일반,총인원,구조사수,허가병상수,최초지정일자
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-16216/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 525 (100.0%) missing valuesMissing
폐업일자 has 329 (62.7%) missing valuesMissing
휴업시작일자 has 513 (97.7%) missing valuesMissing
휴업종료일자 has 513 (97.7%) missing valuesMissing
재개업일자 has 525 (100.0%) missing valuesMissing
전화번호 has 20 (3.8%) missing valuesMissing
소재지면적 has 525 (100.0%) missing valuesMissing
소재지우편번호 has 300 (57.1%) missing valuesMissing
지번주소 has 58 (11.0%) missing valuesMissing
도로명주소 has 68 (13.0%) missing valuesMissing
도로명우편번호 has 90 (17.1%) missing valuesMissing
좌표정보(X) has 79 (15.0%) missing valuesMissing
좌표정보(Y) has 79 (15.0%) missing valuesMissing
의료인수 has 201 (38.3%) missing valuesMissing
입원실수 has 201 (38.3%) missing valuesMissing
병상수 has 201 (38.3%) missing valuesMissing
총면적 has 201 (38.3%) missing valuesMissing
진료과목내용 has 201 (38.3%) missing valuesMissing
진료과목내용명 has 201 (38.3%) missing valuesMissing
지정취소일자 has 525 (100.0%) missing valuesMissing
완화의료지정형태 has 525 (100.0%) missing valuesMissing
완화의료담당부서명 has 525 (100.0%) missing valuesMissing
총인원 has 525 (100.0%) missing valuesMissing
구조사수 has 525 (100.0%) missing valuesMissing
최초지정일자 has 525 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료지정형태 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료담당부서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구조사수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
입원실수 has 319 (60.8%) zerosZeros
병상수 has 316 (60.2%) zerosZeros

Reproduction

Analysis started2024-05-11 06:19:06.821749
Analysis finished2024-05-11 06:19:08.109292
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
3020000
525 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 525
100.0%

Length

2024-05-11T15:19:08.254905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:08.424045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 525
100.0%

관리번호
Text

UNIQUE 

Distinct525
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-05-11T15:19:08.684678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters13125
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

Unique525 ?
Unique (%)100.0%

Sample

1st rowPHMA119653020033041100001
2nd rowPHMA119653020033041100002
3rd rowPHMA119653020033041100003
4th rowPHMA119653020033041100004
5th rowPHMA119653020033041100005
ValueCountFrequency (%)
phma119653020033041100001 1
 
0.2%
phma120113020033041100002 1
 
0.2%
phma120133020033041100005 1
 
0.2%
phma120133020033041100004 1
 
0.2%
phma120133020033041100003 1
 
0.2%
phma120133020033041100002 1
 
0.2%
phma120133020033041100001 1
 
0.2%
phma120123020033041100013 1
 
0.2%
phma120123020033041100012 1
 
0.2%
phma120123020033041100011 1
 
0.2%
Other values (515) 515
98.1%
2024-05-11T15:19:09.162041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4659
35.5%
1 2176
16.6%
3 1687
 
12.9%
2 1108
 
8.4%
4 639
 
4.9%
P 525
 
4.0%
H 525
 
4.0%
M 525
 
4.0%
A 525
 
4.0%
9 297
 
2.3%
Other values (4) 459
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11025
84.0%
Uppercase Letter 2100
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4659
42.3%
1 2176
19.7%
3 1687
 
15.3%
2 1108
 
10.0%
4 639
 
5.8%
9 297
 
2.7%
8 129
 
1.2%
7 120
 
1.1%
5 119
 
1.1%
6 91
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
P 525
25.0%
H 525
25.0%
M 525
25.0%
A 525
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11025
84.0%
Latin 2100
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4659
42.3%
1 2176
19.7%
3 1687
 
15.3%
2 1108
 
10.0%
4 639
 
5.8%
9 297
 
2.7%
8 129
 
1.2%
7 120
 
1.1%
5 119
 
1.1%
6 91
 
0.8%
Latin
ValueCountFrequency (%)
P 525
25.0%
H 525
25.0%
M 525
25.0%
A 525
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13125
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4659
35.5%
1 2176
16.6%
3 1687
 
12.9%
2 1108
 
8.4%
4 639
 
4.9%
P 525
 
4.0%
H 525
 
4.0%
M 525
 
4.0%
A 525
 
4.0%
9 297
 
2.3%
Other values (4) 459
 
3.5%
Distinct487
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum1965-08-30 00:00:00
Maximum2024-04-16 00:00:00
2024-05-11T15:19:09.378782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:19:09.680965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing525
Missing (%)100.0%
Memory size4.7 KiB
Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
1
320 
3
196 
5
 
8
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 320
61.0%
3 196
37.3%
5 8
 
1.5%
2 1
 
0.2%

Length

2024-05-11T15:19:09.958061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:10.198743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 320
61.0%
3 196
37.3%
5 8
 
1.5%
2 1
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
영업/정상
320 
폐업
196 
제외/삭제/전출
 
8
휴업
 
1

Length

Max length8
Median length5
Mean length3.92
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 320
61.0%
폐업 196
37.3%
제외/삭제/전출 8
 
1.5%
휴업 1
 
0.2%

Length

2024-05-11T15:19:10.410418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:10.659508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 320
61.0%
폐업 196
37.3%
제외/삭제/전출 8
 
1.5%
휴업 1
 
0.2%
Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
13
320 
3
196 
15
 
8
2
 
1

Length

Max length2
Median length2
Mean length1.6247619
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 320
61.0%
3 196
37.3%
15 8
 
1.5%
2 1
 
0.2%

Length

2024-05-11T15:19:10.862297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:11.055309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 320
61.0%
3 196
37.3%
15 8
 
1.5%
2 1
 
0.2%
Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
영업중
320 
폐업
196 
전출
 
8
휴업
 
1

Length

Max length3
Median length3
Mean length2.6095238
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 320
61.0%
폐업 196
37.3%
전출 8
 
1.5%
휴업 1
 
0.2%

Length

2024-05-11T15:19:11.231738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:11.403479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 320
61.0%
폐업 196
37.3%
전출 8
 
1.5%
휴업 1
 
0.2%

폐업일자
Date

MISSING 

Distinct188
Distinct (%)95.9%
Missing329
Missing (%)62.7%
Memory size4.2 KiB
Minimum2008-06-25 00:00:00
Maximum2024-05-01 00:00:00
2024-05-11T15:19:11.619676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:19:11.903079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct12
Distinct (%)100.0%
Missing513
Missing (%)97.7%
Memory size4.2 KiB
Minimum2010-04-21 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T15:19:12.132345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:19:12.321840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

휴업종료일자
Date

MISSING 

Distinct12
Distinct (%)100.0%
Missing513
Missing (%)97.7%
Memory size4.2 KiB
Minimum2010-12-31 00:00:00
Maximum2027-11-16 00:00:00
2024-05-11T15:19:12.515742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:19:12.728461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing525
Missing (%)100.0%
Memory size4.7 KiB

전화번호
Text

MISSING 

Distinct492
Distinct (%)97.4%
Missing20
Missing (%)3.8%
Memory size4.2 KiB
2024-05-11T15:19:13.158372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.5881188
Min length3

Characters and Unicode

Total characters4842
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

Unique480 ?
Unique (%)95.0%

Sample

1st row794-4077
2nd row795-5527
3rd row754-3656
4th row795-2808
5th row02-713-2875
ValueCountFrequency (%)
02-796-3392 3
 
0.6%
02-798-0089 2
 
0.4%
02-790-0077 2
 
0.4%
3293-7575 2
 
0.4%
793-2275 2
 
0.4%
717-2804 2
 
0.4%
02-000-0000 2
 
0.4%
795-3101 2
 
0.4%
774-1525 2
 
0.4%
794-6106 2
 
0.4%
Other values (482) 485
95.8%
2024-05-11T15:19:13.742092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 794
16.4%
- 747
15.4%
0 661
13.7%
2 602
12.4%
9 401
8.3%
5 367
7.6%
1 329
6.8%
8 264
 
5.5%
3 262
 
5.4%
4 227
 
4.7%
Other values (2) 188
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4094
84.6%
Dash Punctuation 747
 
15.4%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 794
19.4%
0 661
16.1%
2 602
14.7%
9 401
9.8%
5 367
9.0%
1 329
8.0%
8 264
 
6.4%
3 262
 
6.4%
4 227
 
5.5%
6 187
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 747
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4842
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 794
16.4%
- 747
15.4%
0 661
13.7%
2 602
12.4%
9 401
8.3%
5 367
7.6%
1 329
6.8%
8 264
 
5.5%
3 262
 
5.4%
4 227
 
4.7%
Other values (2) 188
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4842
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 794
16.4%
- 747
15.4%
0 661
13.7%
2 602
12.4%
9 401
8.3%
5 367
7.6%
1 329
6.8%
8 264
 
5.5%
3 262
 
5.4%
4 227
 
4.7%
Other values (2) 188
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing525
Missing (%)100.0%
Memory size4.7 KiB

소재지우편번호
Text

MISSING 

Distinct100
Distinct (%)44.4%
Missing300
Missing (%)57.1%
Memory size4.2 KiB
2024-05-11T15:19:14.192101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1022222
Min length6

Characters and Unicode

Total characters1373
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

Unique47 ?
Unique (%)20.9%

Sample

1st row140875
2nd row140833
3rd row140011
4th row140846
5th row140869
ValueCountFrequency (%)
140854 10
 
4.4%
140011 9
 
4.0%
140823 6
 
2.7%
140893 6
 
2.7%
140806 6
 
2.7%
140160 6
 
2.7%
140887 5
 
2.2%
140853 5
 
2.2%
140858 5
 
2.2%
140884 5
 
2.2%
Other values (90) 162
72.0%
2024-05-11T15:19:14.831805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 312
22.7%
1 304
22.1%
4 264
19.2%
8 172
12.5%
2 59
 
4.3%
7 59
 
4.3%
3 49
 
3.6%
9 49
 
3.6%
6 42
 
3.1%
5 40
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1350
98.3%
Dash Punctuation 23
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 312
23.1%
1 304
22.5%
4 264
19.6%
8 172
12.7%
2 59
 
4.4%
7 59
 
4.4%
3 49
 
3.6%
9 49
 
3.6%
6 42
 
3.1%
5 40
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1373
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 312
22.7%
1 304
22.1%
4 264
19.2%
8 172
12.5%
2 59
 
4.3%
7 59
 
4.3%
3 49
 
3.6%
9 49
 
3.6%
6 42
 
3.1%
5 40
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1373
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 312
22.7%
1 304
22.1%
4 264
19.2%
8 172
12.5%
2 59
 
4.3%
7 59
 
4.3%
3 49
 
3.6%
9 49
 
3.6%
6 42
 
3.1%
5 40
 
2.9%

지번주소
Text

MISSING 

Distinct392
Distinct (%)83.9%
Missing58
Missing (%)11.0%
Memory size4.2 KiB
2024-05-11T15:19:15.293765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length25.541756
Min length15

Characters and Unicode

Total characters11928
Distinct characters171
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

Unique338 ?
Unique (%)72.4%

Sample

1st row서울특별시 용산구 이촌동 300번지 10호
2nd row서울특별시 용산구 한강로2가 213
3rd row서울특별시 용산구 용산동2가 1번지 465호
4th row서울특별시 용산구 한강로1가 14번지 26호
5th row서울특별시 용산구 원효로1가 53번지 1호
ValueCountFrequency (%)
용산구 468
 
18.9%
서울특별시 467
 
18.8%
한강로2가 53
 
2.1%
이촌동 49
 
2.0%
한남동 49
 
2.0%
3호 37
 
1.5%
1호 36
 
1.5%
이태원동 35
 
1.4%
갈월동 29
 
1.2%
한강로3가 28
 
1.1%
Other values (500) 1229
49.6%
2024-05-11T15:19:16.336465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2026
 
17.0%
539
 
4.5%
534
 
4.5%
482
 
4.0%
2 482
 
4.0%
475
 
4.0%
469
 
3.9%
468
 
3.9%
467
 
3.9%
467
 
3.9%
Other values (161) 5519
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7346
61.6%
Decimal Number 2375
 
19.9%
Space Separator 2026
 
17.0%
Dash Punctuation 124
 
1.0%
Other Punctuation 27
 
0.2%
Uppercase Letter 22
 
0.2%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
539
 
7.3%
534
 
7.3%
482
 
6.6%
475
 
6.5%
469
 
6.4%
468
 
6.4%
467
 
6.4%
467
 
6.4%
367
 
5.0%
353
 
4.8%
Other values (137) 2725
37.1%
Decimal Number
ValueCountFrequency (%)
2 482
20.3%
1 417
17.6%
3 375
15.8%
0 277
11.7%
4 177
 
7.5%
6 166
 
7.0%
5 148
 
6.2%
7 138
 
5.8%
9 109
 
4.6%
8 86
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
A 6
27.3%
L 5
22.7%
G 4
18.2%
S 3
13.6%
C 1
 
4.5%
J 1
 
4.5%
R 1
 
4.5%
B 1
 
4.5%
Space Separator
ValueCountFrequency (%)
2026
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7346
61.6%
Common 4560
38.2%
Latin 22
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
539
 
7.3%
534
 
7.3%
482
 
6.6%
475
 
6.5%
469
 
6.4%
468
 
6.4%
467
 
6.4%
467
 
6.4%
367
 
5.0%
353
 
4.8%
Other values (137) 2725
37.1%
Common
ValueCountFrequency (%)
2026
44.4%
2 482
 
10.6%
1 417
 
9.1%
3 375
 
8.2%
0 277
 
6.1%
4 177
 
3.9%
6 166
 
3.6%
5 148
 
3.2%
7 138
 
3.0%
- 124
 
2.7%
Other values (6) 230
 
5.0%
Latin
ValueCountFrequency (%)
A 6
27.3%
L 5
22.7%
G 4
18.2%
S 3
13.6%
C 1
 
4.5%
J 1
 
4.5%
R 1
 
4.5%
B 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7346
61.6%
ASCII 4582
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2026
44.2%
2 482
 
10.5%
1 417
 
9.1%
3 375
 
8.2%
0 277
 
6.0%
4 177
 
3.9%
6 166
 
3.6%
5 148
 
3.2%
7 138
 
3.0%
- 124
 
2.7%
Other values (14) 252
 
5.5%
Hangul
ValueCountFrequency (%)
539
 
7.3%
534
 
7.3%
482
 
6.6%
475
 
6.5%
469
 
6.4%
468
 
6.4%
467
 
6.4%
467
 
6.4%
367
 
5.0%
353
 
4.8%
Other values (137) 2725
37.1%

도로명주소
Text

MISSING 

Distinct422
Distinct (%)92.3%
Missing68
Missing (%)13.0%
Memory size4.2 KiB
2024-05-11T15:19:16.784762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length50
Mean length32.102845
Min length21

Characters and Unicode

Total characters14671
Distinct characters226
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

Unique391 ?
Unique (%)85.6%

Sample

1st row서울특별시 용산구 이촌로 290 (이촌동, 점보상가)
2nd row서울특별시 용산구 신흥로20길 8 (용산동2가)
3rd row서울특별시 용산구 한강대로 202-1 (한강로1가)
4th row서울특별시 용산구 원효로 245 (원효로1가)
5th row서울특별시 용산구 청파로 321 (청파동1가)
ValueCountFrequency (%)
서울특별시 457
 
16.1%
용산구 457
 
16.1%
한강대로 88
 
3.1%
2층 61
 
2.2%
한강로2가 58
 
2.0%
이촌동 53
 
1.9%
이촌로 52
 
1.8%
한남동 47
 
1.7%
3층 39
 
1.4%
이태원동 36
 
1.3%
Other values (555) 1487
52.5%
2024-05-11T15:19:17.498101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2379
 
16.2%
588
 
4.0%
2 551
 
3.8%
538
 
3.7%
531
 
3.6%
503
 
3.4%
470
 
3.2%
) 461
 
3.1%
( 461
 
3.1%
460
 
3.1%
Other values (216) 7729
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8541
58.2%
Space Separator 2379
 
16.2%
Decimal Number 2278
 
15.5%
Close Punctuation 461
 
3.1%
Open Punctuation 461
 
3.1%
Other Punctuation 437
 
3.0%
Dash Punctuation 51
 
0.3%
Math Symbol 36
 
0.2%
Uppercase Letter 27
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
588
 
6.9%
538
 
6.3%
531
 
6.2%
503
 
5.9%
470
 
5.5%
460
 
5.4%
458
 
5.4%
457
 
5.4%
457
 
5.4%
372
 
4.4%
Other values (192) 3707
43.4%
Decimal Number
ValueCountFrequency (%)
2 551
24.2%
1 395
17.3%
3 267
11.7%
0 206
 
9.0%
4 188
 
8.3%
5 180
 
7.9%
7 146
 
6.4%
6 128
 
5.6%
9 127
 
5.6%
8 90
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
A 10
37.0%
L 4
 
14.8%
G 4
 
14.8%
B 4
 
14.8%
D 2
 
7.4%
S 2
 
7.4%
R 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 436
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2379
100.0%
Close Punctuation
ValueCountFrequency (%)
) 461
100.0%
Open Punctuation
ValueCountFrequency (%)
( 461
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Math Symbol
ValueCountFrequency (%)
~ 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8541
58.2%
Common 6103
41.6%
Latin 27
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
588
 
6.9%
538
 
6.3%
531
 
6.2%
503
 
5.9%
470
 
5.5%
460
 
5.4%
458
 
5.4%
457
 
5.4%
457
 
5.4%
372
 
4.4%
Other values (192) 3707
43.4%
Common
ValueCountFrequency (%)
2379
39.0%
2 551
 
9.0%
) 461
 
7.6%
( 461
 
7.6%
, 436
 
7.1%
1 395
 
6.5%
3 267
 
4.4%
0 206
 
3.4%
4 188
 
3.1%
5 180
 
2.9%
Other values (7) 579
 
9.5%
Latin
ValueCountFrequency (%)
A 10
37.0%
L 4
 
14.8%
G 4
 
14.8%
B 4
 
14.8%
D 2
 
7.4%
S 2
 
7.4%
R 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8541
58.2%
ASCII 6130
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2379
38.8%
2 551
 
9.0%
) 461
 
7.5%
( 461
 
7.5%
, 436
 
7.1%
1 395
 
6.4%
3 267
 
4.4%
0 206
 
3.4%
4 188
 
3.1%
5 180
 
2.9%
Other values (14) 606
 
9.9%
Hangul
ValueCountFrequency (%)
588
 
6.9%
538
 
6.3%
531
 
6.2%
503
 
5.9%
470
 
5.5%
460
 
5.4%
458
 
5.4%
457
 
5.4%
457
 
5.4%
372
 
4.4%
Other values (192) 3707
43.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)23.9%
Missing90
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean10638.779
Minimum4300
Maximum140901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T15:19:17.749885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4300
5-th percentile4313
Q14336
median4376
Q34406
95-th percentile4427
Maximum140901
Range136601
Interquartile range (IQR)70

Descriptive statistics

Standard deviation28591
Coefficient of variation (CV)2.6874324
Kurtosis17.00698
Mean10638.779
Median Absolute Deviation (MAD)38
Skewness4.350713
Sum4627869
Variance8.1744528 × 108
MonotonicityNot monotonic
2024-05-11T15:19:17.991058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4426 26
 
5.0%
4378 26
 
5.0%
4427 22
 
4.2%
4376 21
 
4.0%
4321 20
 
3.8%
4387 13
 
2.5%
4420 10
 
1.9%
4363 10
 
1.9%
4315 10
 
1.9%
4322 10
 
1.9%
Other values (94) 267
50.9%
(Missing) 90
 
17.1%
ValueCountFrequency (%)
4300 4
0.8%
4301 1
 
0.2%
4302 1
 
0.2%
4303 1
 
0.2%
4305 6
1.1%
4308 1
 
0.2%
4309 1
 
0.2%
4310 3
0.6%
4311 2
 
0.4%
4313 6
1.1%
ValueCountFrequency (%)
140901 1
0.2%
140896 1
0.2%
140879 1
0.2%
140872 1
0.2%
140858 1
0.2%
140854 1
0.2%
140848 1
0.2%
140828 1
0.2%
140806 1
0.2%
140791 1
0.2%
Distinct509
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-05-11T15:19:18.345259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length7.1142857
Min length3

Characters and Unicode

Total characters3735
Distinct characters330
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique497 ?
Unique (%)94.7%

Sample

1st row윤의원
2nd row임향한의원
3rd row차한의원
4th row인화한의원
5th row참좋은치과의원
ValueCountFrequency (%)
용산벨라의원 5
 
0.9%
수미안치과의원 3
 
0.6%
이레치과의원 2
 
0.4%
의료법인 2
 
0.4%
평강한의원 2
 
0.4%
엠치과의원 2
 
0.4%
치과의원 2
 
0.4%
생생한의원 2
 
0.4%
유디남영치과의원 2
 
0.4%
마마스조산원 2
 
0.4%
Other values (507) 511
95.5%
2024-05-11T15:19:18.913971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
552
 
14.8%
551
 
14.8%
307
 
8.2%
165
 
4.4%
141
 
3.8%
77
 
2.1%
57
 
1.5%
48
 
1.3%
45
 
1.2%
39
 
1.0%
Other values (320) 1753
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3706
99.2%
Decimal Number 12
 
0.3%
Space Separator 10
 
0.3%
Other Punctuation 3
 
0.1%
Uppercase Letter 2
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
552
 
14.9%
551
 
14.9%
307
 
8.3%
165
 
4.5%
141
 
3.8%
77
 
2.1%
57
 
1.5%
48
 
1.3%
45
 
1.2%
39
 
1.1%
Other values (308) 1724
46.5%
Decimal Number
ValueCountFrequency (%)
3 3
25.0%
6 3
25.0%
5 3
25.0%
7 2
16.7%
9 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
. 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
E 1
50.0%
W 1
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3706
99.2%
Common 27
 
0.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
552
 
14.9%
551
 
14.9%
307
 
8.3%
165
 
4.5%
141
 
3.8%
77
 
2.1%
57
 
1.5%
48
 
1.3%
45
 
1.2%
39
 
1.1%
Other values (308) 1724
46.5%
Common
ValueCountFrequency (%)
10
37.0%
3 3
 
11.1%
6 3
 
11.1%
5 3
 
11.1%
7 2
 
7.4%
& 2
 
7.4%
) 1
 
3.7%
( 1
 
3.7%
. 1
 
3.7%
9 1
 
3.7%
Latin
ValueCountFrequency (%)
E 1
50.0%
W 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3706
99.2%
ASCII 29
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
552
 
14.9%
551
 
14.9%
307
 
8.3%
165
 
4.5%
141
 
3.8%
77
 
2.1%
57
 
1.5%
48
 
1.3%
45
 
1.2%
39
 
1.1%
Other values (308) 1724
46.5%
ASCII
ValueCountFrequency (%)
10
34.5%
3 3
 
10.3%
6 3
 
10.3%
5 3
 
10.3%
7 2
 
6.9%
& 2
 
6.9%
) 1
 
3.4%
E 1
 
3.4%
W 1
 
3.4%
( 1
 
3.4%
Other values (2) 2
 
6.9%
Distinct468
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum2008-12-02 12:05:11
Maximum2024-05-09 23:43:13
2024-05-11T15:19:19.108151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:19:19.390309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
U
306 
I
219 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 306
58.3%
I 219
41.7%

Length

2024-05-11T15:19:19.595107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:19.757819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 306
58.3%
i 219
41.7%
Distinct221
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T15:19:19.985733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:19:20.218241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
의원
241 
치과의원
163 
한의원
118 
조산원
 
2
보건소
 
1

Length

Max length4
Median length3
Mean length2.8514286
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
의원 241
45.9%
치과의원 163
31.0%
한의원 118
22.5%
조산원 2
 
0.4%
보건소 1
 
0.2%

Length

2024-05-11T15:19:20.463891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:20.643686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 241
45.9%
치과의원 163
31.0%
한의원 118
22.5%
조산원 2
 
0.4%
보건소 1
 
0.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct264
Distinct (%)59.2%
Missing79
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean197857.72
Minimum195547.14
Maximum201058.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T15:19:20.799193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195547.14
5-th percentile196359.29
Q1197043.37
median197450.28
Q3198657.38
95-th percentile200506.19
Maximum201058.05
Range5510.9143
Interquartile range (IQR)1614.003

Descriptive statistics

Standard deviation1296.7268
Coefficient of variation (CV)0.0065538346
Kurtosis-0.31713969
Mean197857.72
Median Absolute Deviation (MAD)510.00703
Skewness0.83446967
Sum88244542
Variance1681500.3
MonotonicityNot monotonic
2024-05-11T15:19:21.001716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197450.277644237 11
 
2.1%
197045.849468346 9
 
1.7%
197011.737528847 9
 
1.7%
197083.100438264 9
 
1.7%
196861.350875235 9
 
1.7%
197056.728931087 7
 
1.3%
197722.571038558 7
 
1.3%
197425.47861329 7
 
1.3%
197221.439324261 6
 
1.1%
199471.30974998 6
 
1.1%
Other values (254) 366
69.7%
(Missing) 79
 
15.0%
ValueCountFrequency (%)
195547.140326252 3
0.6%
195626.865584206 2
0.4%
195743.282928605 1
 
0.2%
195936.18328447 1
 
0.2%
195981.203408641 2
0.4%
196005.836412851 2
0.4%
196007.611983279 1
 
0.2%
196012.701500135 1
 
0.2%
196147.046126753 1
 
0.2%
196149.859380737 1
 
0.2%
ValueCountFrequency (%)
201058.054618041 1
 
0.2%
201035.9411494 1
 
0.2%
200887.091124451 2
0.4%
200855.473260672 1
 
0.2%
200824.55933234 1
 
0.2%
200801.017350307 1
 
0.2%
200768.292367139 1
 
0.2%
200757.113163707 1
 
0.2%
200735.669061317 1
 
0.2%
200697.42588055 3
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct264
Distinct (%)59.2%
Missing79
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean448027.97
Minimum446114.16
Maximum450288.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T15:19:21.217180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446114.16
5-th percentile446344.59
Q1447333.44
median448004.73
Q3448765.43
95-th percentile449825.83
Maximum450288.56
Range4174.4065
Interquartile range (IQR)1431.9904

Descriptive statistics

Standard deviation1019.1474
Coefficient of variation (CV)0.0022747405
Kurtosis-0.61453025
Mean448027.97
Median Absolute Deviation (MAD)717.53375
Skewness0.12265898
Sum1.9982048 × 108
Variance1038661.4
MonotonicityNot monotonic
2024-05-11T15:19:21.487979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446437.197878548 11
 
2.1%
448447.558967085 9
 
1.7%
447430.100250997 9
 
1.7%
447552.774477998 9
 
1.7%
447226.720509901 9
 
1.7%
447077.126289262 7
 
1.3%
446344.591216568 7
 
1.3%
449166.662964325 7
 
1.3%
446524.508385914 6
 
1.1%
447522.747030786 6
 
1.1%
Other values (254) 366
69.7%
(Missing) 79
 
15.0%
ValueCountFrequency (%)
446114.155238838 1
 
0.2%
446178.85892605 3
0.6%
446194.350546744 1
 
0.2%
446202.36502252 1
 
0.2%
446221.69071399 1
 
0.2%
446243.198701013 1
 
0.2%
446246.110967125 1
 
0.2%
446248.255892098 5
1.0%
446262.544080318 2
 
0.4%
446264.341129677 2
 
0.4%
ValueCountFrequency (%)
450288.561776513 1
0.2%
450255.757958327 1
0.2%
450229.427777316 1
0.2%
450222.757802901 1
0.2%
450208.024374245 1
0.2%
450187.363185493 1
0.2%
450171.953371765 1
0.2%
450168.3235982 1
0.2%
450126.951675139 1
0.2%
450122.985851126 1
0.2%
Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
201 
의원
138 
치과의원
125 
한의원
59 
보건소
 
1

Length

Max length4
Median length4
Mean length3.3580952
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 201
38.3%
의원 138
26.3%
치과의원 125
23.8%
한의원 59
 
11.2%
보건소 1
 
0.2%
조산원 1
 
0.2%

Length

2024-05-11T15:19:21.773734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:22.040812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 201
38.3%
의원 138
26.3%
치과의원 125
23.8%
한의원 59
 
11.2%
보건소 1
 
0.2%
조산원 1
 
0.2%

의료인수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)2.8%
Missing201
Missing (%)38.3%
Infinite0
Infinite (%)0.0%
Mean1.4506173
Minimum0
Maximum35
Zeros2
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T15:19:22.300477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0998377
Coefficient of variation (CV)1.4475477
Kurtosis204.1919
Mean1.4506173
Median Absolute Deviation (MAD)0
Skewness13.159176
Sum470
Variance4.4093185
MonotonicityNot monotonic
2024-05-11T15:19:22.462544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 252
48.0%
2 48
 
9.1%
3 11
 
2.1%
4 6
 
1.1%
0 2
 
0.4%
6 2
 
0.4%
7 1
 
0.2%
35 1
 
0.2%
11 1
 
0.2%
(Missing) 201
38.3%
ValueCountFrequency (%)
0 2
 
0.4%
1 252
48.0%
2 48
 
9.1%
3 11
 
2.1%
4 6
 
1.1%
6 2
 
0.4%
7 1
 
0.2%
11 1
 
0.2%
35 1
 
0.2%
ValueCountFrequency (%)
35 1
 
0.2%
11 1
 
0.2%
7 1
 
0.2%
6 2
 
0.4%
4 6
 
1.1%
3 11
 
2.1%
2 48
 
9.1%
1 252
48.0%
0 2
 
0.4%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)1.9%
Missing201
Missing (%)38.3%
Infinite0
Infinite (%)0.0%
Mean0.061728395
Minimum0
Maximum6
Zeros319
Zeros (%)60.8%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T15:19:22.622481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.52422856
Coefficient of variation (CV)8.4925026
Kurtosis87.487156
Mean0.061728395
Median Absolute Deviation (MAD)0
Skewness9.1572146
Sum20
Variance0.27481558
MonotonicityNot monotonic
2024-05-11T15:19:22.790922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 319
60.8%
6 1
 
0.2%
4 1
 
0.2%
3 1
 
0.2%
5 1
 
0.2%
2 1
 
0.2%
(Missing) 201
38.3%
ValueCountFrequency (%)
0 319
60.8%
2 1
 
0.2%
3 1
 
0.2%
4 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
ValueCountFrequency (%)
6 1
 
0.2%
5 1
 
0.2%
4 1
 
0.2%
3 1
 
0.2%
2 1
 
0.2%
0 319
60.8%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)2.8%
Missing201
Missing (%)38.3%
Infinite0
Infinite (%)0.0%
Mean0.31481481
Minimum0
Maximum28
Zeros316
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T15:19:22.963021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum28
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5400135
Coefficient of variation (CV)8.0682781
Kurtosis94.345566
Mean0.31481481
Median Absolute Deviation (MAD)0
Skewness9.5162851
Sum102
Variance6.4516684
MonotonicityNot monotonic
2024-05-11T15:19:23.125161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 316
60.2%
6 1
 
0.2%
9 1
 
0.2%
27 1
 
0.2%
28 1
 
0.2%
21 1
 
0.2%
4 1
 
0.2%
5 1
 
0.2%
2 1
 
0.2%
(Missing) 201
38.3%
ValueCountFrequency (%)
0 316
60.2%
2 1
 
0.2%
4 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
9 1
 
0.2%
21 1
 
0.2%
27 1
 
0.2%
28 1
 
0.2%
ValueCountFrequency (%)
28 1
 
0.2%
27 1
 
0.2%
21 1
 
0.2%
9 1
 
0.2%
6 1
 
0.2%
5 1
 
0.2%
4 1
 
0.2%
2 1
 
0.2%
0 316
60.2%

총면적
Real number (ℝ)

MISSING 

Distinct291
Distinct (%)89.8%
Missing201
Missing (%)38.3%
Infinite0
Infinite (%)0.0%
Mean136.42182
Minimum16.5
Maximum2723.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-05-11T15:19:23.348562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.5
5-th percentile40.201
Q169.865
median102.92
Q3150.625
95-th percentile302.5315
Maximum2723.7
Range2707.2
Interquartile range (IQR)80.76

Descriptive statistics

Standard deviation180.01862
Coefficient of variation (CV)1.3195735
Kurtosis136.69985
Mean136.42182
Median Absolute Deviation (MAD)37.23
Skewness10.229965
Sum44200.67
Variance32406.704
MonotonicityNot monotonic
2024-05-11T15:19:23.614499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49.5 3
 
0.6%
166.49 3
 
0.6%
70.0 3
 
0.6%
90.0 3
 
0.6%
150.0 3
 
0.6%
50.0 3
 
0.6%
33.0 3
 
0.6%
85.0 3
 
0.6%
132.0 2
 
0.4%
102.3 2
 
0.4%
Other values (281) 296
56.4%
(Missing) 201
38.3%
ValueCountFrequency (%)
16.5 1
 
0.2%
22.12 1
 
0.2%
25.81 1
 
0.2%
26.99 1
 
0.2%
28.46 1
 
0.2%
30.0 1
 
0.2%
33.0 3
0.6%
33.64 1
 
0.2%
35.0 1
 
0.2%
35.38 1
 
0.2%
ValueCountFrequency (%)
2723.7 1
0.2%
1245.66 1
0.2%
600.0 1
0.2%
552.6 1
0.2%
549.92 1
0.2%
549.3 1
0.2%
523.52 1
0.2%
485.1 1
0.2%
414.4 1
0.2%
372.42 1
0.2%

진료과목내용
Text

MISSING 

Distinct135
Distinct (%)41.7%
Missing201
Missing (%)38.3%
Memory size4.2 KiB
2024-05-11T15:19:23.940178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length51
Mean length19.407407
Min length3

Characters and Unicode

Total characters6288
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

Unique109 ?
Unique (%)33.6%

Sample

1st row301 302 303 304 305 306 307 308
2nd row301 302 303 304 305 306 307 308
3rd row301 302 303 304 305 306 307 308
4th row101 104
5th row301 302 303 304 305 306 307 308
ValueCountFrequency (%)
101 80
 
4.8%
114 76
 
4.6%
201 60
 
3.6%
210 60
 
3.6%
202 60
 
3.6%
205 60
 
3.6%
203 60
 
3.6%
204 60
 
3.6%
301 59
 
3.6%
302 58
 
3.5%
Other values (43) 1020
61.7%
2024-05-11T15:19:24.613045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1339
21.3%
1329
21.1%
1 1198
19.1%
3 668
10.6%
2 654
10.4%
4 571
9.1%
5 207
 
3.3%
6 109
 
1.7%
8 107
 
1.7%
7 76
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4959
78.9%
Space Separator 1329
 
21.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1339
27.0%
1 1198
24.2%
3 668
13.5%
2 654
13.2%
4 571
11.5%
5 207
 
4.2%
6 109
 
2.2%
8 107
 
2.2%
7 76
 
1.5%
9 30
 
0.6%
Space Separator
ValueCountFrequency (%)
1329
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1339
21.3%
1329
21.1%
1 1198
19.1%
3 668
10.6%
2 654
10.4%
4 571
9.1%
5 207
 
3.3%
6 109
 
1.7%
8 107
 
1.7%
7 76
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1339
21.3%
1329
21.1%
1 1198
19.1%
3 668
10.6%
2 654
10.4%
4 571
9.1%
5 207
 
3.3%
6 109
 
1.7%
8 107
 
1.7%
7 76
 
1.2%

진료과목내용명
Text

MISSING 

Distinct118
Distinct (%)36.4%
Missing201
Missing (%)38.3%
Memory size4.2 KiB
2024-05-11T15:19:24.990622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length145
Median length74
Mean length32.564815
Min length2

Characters and Unicode

Total characters10551
Distinct characters64
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

Unique91 ?
Unique (%)28.1%

Sample

1st row한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과
2nd row한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과
3rd row한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과
4th row내과, 외과
5th row한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과
ValueCountFrequency (%)
구강악안면외과 98
 
5.9%
치과보철과 98
 
5.9%
치과교정과 96
 
5.8%
소아치과 95
 
5.7%
치주과 95
 
5.7%
예방치과 94
 
5.7%
내과 80
 
4.8%
피부과 76
 
4.6%
한방내과 59
 
3.6%
한방안?이비인후?피부과 58
 
3.5%
Other values (33) 804
48.6%
2024-05-11T15:19:25.671335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1866
17.7%
, 1329
 
12.6%
1329
 
12.6%
553
 
5.2%
446
 
4.2%
346
 
3.3%
266
 
2.5%
227
 
2.2%
218
 
2.1%
209
 
2.0%
Other values (54) 3762
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7777
73.7%
Other Punctuation 1445
 
13.7%
Space Separator 1329
 
12.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1866
24.0%
553
 
7.1%
446
 
5.7%
346
 
4.4%
266
 
3.4%
227
 
2.9%
218
 
2.8%
209
 
2.7%
201
 
2.6%
188
 
2.4%
Other values (51) 3257
41.9%
Other Punctuation
ValueCountFrequency (%)
, 1329
92.0%
? 116
 
8.0%
Space Separator
ValueCountFrequency (%)
1329
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7777
73.7%
Common 2774
 
26.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1866
24.0%
553
 
7.1%
446
 
5.7%
346
 
4.4%
266
 
3.4%
227
 
2.9%
218
 
2.8%
209
 
2.7%
201
 
2.6%
188
 
2.4%
Other values (51) 3257
41.9%
Common
ValueCountFrequency (%)
, 1329
47.9%
1329
47.9%
? 116
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7777
73.7%
ASCII 2774
 
26.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1866
24.0%
553
 
7.1%
446
 
5.7%
346
 
4.4%
266
 
3.4%
227
 
2.9%
218
 
2.8%
209
 
2.7%
201
 
2.6%
188
 
2.4%
Other values (51) 3257
41.9%
ASCII
ValueCountFrequency (%)
, 1329
47.9%
1329
47.9%
? 116
 
4.2%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing525
Missing (%)100.0%
Memory size4.7 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing525
Missing (%)100.0%
Memory size4.7 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing525
Missing (%)100.0%
Memory size4.7 KiB

구급차특수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
0
324 
<NA>
201 

Length

Max length4
Median length1
Mean length2.1485714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 324
61.7%
<NA> 201
38.3%

Length

2024-05-11T15:19:25.944419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:26.162589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 324
61.7%
na 201
38.3%

구급차일반
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
0
324 
<NA>
201 

Length

Max length4
Median length1
Mean length2.1485714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 324
61.7%
<NA> 201
38.3%

Length

2024-05-11T15:19:26.818368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:27.036337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 324
61.7%
na 201
38.3%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing525
Missing (%)100.0%
Memory size4.7 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing525
Missing (%)100.0%
Memory size4.7 KiB

허가병상수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
0
324 
<NA>
201 

Length

Max length4
Median length1
Mean length2.1485714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 324
61.7%
<NA> 201
38.3%

Length

2024-05-11T15:19:27.246338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:19:27.440627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 324
61.7%
na 201
38.3%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing525
Missing (%)100.0%
Memory size4.7 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03020000PHMA11965302003304110000119650830<NA>3폐업3폐업20221201<NA><NA><NA>794-4077<NA><NA>서울특별시 용산구 이촌동 300번지 10호서울특별시 용산구 이촌로 290 (이촌동, 점보상가)4425윤의원2022-12-13 16:28:47U2021-11-01 23:05:00.0의원198047.573915446202.365023<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13020000PHMA11965302003304110000219650830<NA>3폐업3폐업20101123<NA><NA><NA>795-5527<NA>140875서울특별시 용산구 한강로2가 213<NA><NA>임향한의원2010-11-23 18:41:25I2018-08-31 23:59:59.0한의원<NA><NA>한의원10016.5301 302 303 304 305 306 307 308한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
23020000PHMA11965302003304110000319650830<NA>3폐업3폐업20170322<NA><NA><NA>754-3656<NA>140833서울특별시 용산구 용산동2가 1번지 465호서울특별시 용산구 신흥로20길 8 (용산동2가)4328차한의원2017-03-22 13:00:08I2018-08-31 23:59:59.0한의원198609.608454449323.369026한의원100108.0301 302 303 304 305 306 307 308한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
33020000PHMA11965302003304110000419650830<NA>3폐업3폐업201811012018040120180630<NA>795-2808<NA>140011서울특별시 용산구 한강로1가 14번지 26호서울특별시 용산구 한강대로 202-1 (한강로1가)4353인화한의원2018-10-25 10:28:14U2018-10-27 02:35:41.0한의원197685.447352448246.676603한의원20059.4301 302 303 304 305 306 307 308한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
43020000PHMA11965302003304110000519650830<NA>1영업/정상13영업중<NA><NA><NA><NA>02-713-2875<NA>140846서울특별시 용산구 원효로1가 53번지 1호서울특별시 용산구 원효로 245 (원효로1가)4316참좋은치과의원2022-11-04 04:13:15U2021-11-01 00:06:00.0치과의원197112.793906448614.651071<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53020000PHMA11966302003304110000119660115<NA>3폐업3폐업20150804<NA><NA><NA>795-1785<NA><NA>서울특별시 용산구 보광동 238-43<NA><NA>이경욱외과의원2015-08-04 13:52:45I2018-08-31 23:59:59.0의원<NA><NA>의원100123.0101 104내과, 외과<NA><NA><NA>00<NA><NA>0<NA>
63020000PHMA11966302003304110000219660720<NA>3폐업3폐업20180115<NA><NA><NA>713-8271<NA>140869서울특별시 용산구 청파동1가 163번지서울특별시 용산구 청파로 321 (청파동1가)4308근화당한의원2018-01-15 15:39:48I2018-08-31 23:59:59.0한의원197262.290849449565.882013한의원10045.0301 302 303 304 305 306 307 308한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
73020000PHMA1196730200330411000011967-01-23<NA>3폐업3폐업2023-08-31<NA><NA><NA>794-7083<NA>140-886서울특별시 용산구 한남동 76번지 21호서울특별시 용산구 한남대로 57 (한남동)4401김정범치과의원2023-09-01 16:35:09U2022-12-09 00:03:00.0치과의원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83020000PHMA11967302003304110000219671018<NA>1영업/정상13영업중<NA><NA><NA><NA>02-714-0593<NA><NA>서울특별시 용산구 청파동1가 154번지 42호서울특별시 용산구 청파로 322 (청파동1가, 동민의원)4301동민의원2020-01-30 10:02:07U2020-02-01 02:40:00.0의원197302.950853449575.510375의원200207.76101 104 105 111 122내과, 외과, 정형외과, 소아청소년과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
93020000PHMA11968302003304110000119680416<NA>3폐업3폐업20211027<NA><NA><NA>712-8204<NA><NA>서울특별시 용산구 원효로2가 25번지서울특별시 용산구 원효로 191 (원효로2가, 원효로의원)4364원효로의원2021-10-27 10:47:13U2021-10-29 02:40:00.0의원196708.429265448281.343781의원100224.85101 105 111내과, 정형외과, 소아청소년과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
5153020000PHMA1202330200330411000052023-09-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-790-0702<NA><NA>서울특별시 용산구 한강로2가 2-37 용산토투밸리서울특별시 용산구 새창로 217, 용산토투밸리 7층 705호 (한강로2가)4376임상익정신건강의학과의원2024-03-08 09:13:14U2023-12-02 23:00:00.0의원197083.100438447552.774478<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5163020000PHMA1202330200330411000062023-09-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로2가 2-37 용산토투밸리서울특별시 용산구 새창로 217, 용산토투밸리 15층 1501호 (한강로2가)4376밴스의원2024-04-12 03:43:12U2023-12-03 23:04:00.0의원197083.100438447552.774478<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5173020000PHMA1202330200330411000072023-09-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6365-2875<NA><NA>서울특별시 용산구 이촌동 300-21 유일빌딩서울특별시 용산구 이촌로84길 9, 4층 (이촌동)4426슈어플란트치과의원2023-10-19 21:13:12U2022-10-30 22:01:00.0치과의원197906.93946446246.110967<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5183020000PHMA1202330200330411000082023-09-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-701-1075<NA><NA>서울특별시 용산구 청파동2가 1-17 1층서울특별시 용산구 효창원로93길 2, 1층 (청파동2가)4311이성화한의원2023-09-27 17:41:29I2022-12-08 22:09:00.0한의원196691.773344449589.048509<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5193020000PHMA1202330200330411000092023-11-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6221-0202<NA><NA>서울특별시 용산구 이촌동 300-23 한강맨션서울특별시 용산구 이촌로 248, 31동 1,2층 105-1호,203호 (이촌동, 한강맨션)4426뉘앙스성형외과의원2024-04-11 20:43:13U2023-12-03 23:03:00.0의원197722.571039446344.591217<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5203020000PHMA1202430200330411000012024-01-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-749-8200<NA><NA><NA>서울특별시 용산구 한강대로 95, A동 212호 (한강로2가, 래미안용산 더 센트럴)4378용산자윤한의원2024-01-17 09:23:14U2023-11-30 23:09:00.0한의원197011.737529447430.100251<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5213020000PHMA1202430200330411000022024-01-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2135-7884<NA><NA>서울특별시 용산구 한강로2가 314-1 용성비즈텔 지하1층서울특별시 용산구 한강대로 109, 용성비즈텔 지하1층 (한강로2가)4376뷰티라운지의원2024-02-02 06:43:14U2023-12-02 00:04:00.0의원197117.418435447527.338271<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5223020000PHMA1202430200330411000032024-01-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3785-1190<NA><NA>서울특별시 용산구 한강로3가 98 제몰동 2층 2066~2069,2073-2호서울특별시 용산구 서빙고로 17, 몰동 2층 2066,2067,2068,2069,2073-2호 (한강로3가)4387언제나365의원2024-03-29 00:43:15U2023-12-02 21:01:00.0의원197056.728931447077.126289<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5233020000PHMA1202430200330411000042024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 원효로2가 1-36 3,4층서울특별시 용산구 백범로 340, 3,4층 (원효로2가)4368용산좋은습관마취통증의학과의원2024-04-19 15:34:37U2023-12-03 22:01:00.0의원196979.093088448380.52421<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5243020000PHMA1202430200330411000052024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6958-7517<NA><NA>서울특별시 용산구 이촌동 300-268 미학빌딩 4층서울특별시 용산구 이촌로88길 16, 미학빌딩 4층 (이촌동)4426김향내과의원2024-04-17 09:10:47I2023-12-03 23:09:00.0의원197954.84985446178.858926<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>