Overview

Dataset statistics

Number of variables41
Number of observations59
Missing cells964
Missing cells (%)39.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.4 KiB
Average record size in memory354.2 B

Variable types

Categorical11
Text8
DateTime4
Unsupported10
Numeric8

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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-16183/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 59 (100.0%) missing valuesMissing
폐업일자 has 37 (62.7%) missing valuesMissing
휴업시작일자 has 59 (100.0%) missing valuesMissing
휴업종료일자 has 59 (100.0%) missing valuesMissing
재개업일자 has 59 (100.0%) missing valuesMissing
전화번호 has 2 (3.4%) missing valuesMissing
소재지면적 has 23 (39.0%) missing valuesMissing
소재지우편번호 has 38 (64.4%) missing valuesMissing
지번주소 has 20 (33.9%) missing valuesMissing
도로명주소 has 10 (16.9%) missing valuesMissing
도로명우편번호 has 10 (16.9%) missing valuesMissing
좌표정보(X) has 9 (15.3%) missing valuesMissing
좌표정보(Y) has 9 (15.3%) missing valuesMissing
의료인수 has 36 (61.0%) missing valuesMissing
입원실수 has 36 (61.0%) missing valuesMissing
병상수 has 36 (61.0%) missing valuesMissing
총면적 has 36 (61.0%) missing valuesMissing
진료과목내용 has 36 (61.0%) missing valuesMissing
진료과목내용명 has 36 (61.0%) missing valuesMissing
지정취소일자 has 59 (100.0%) missing valuesMissing
완화의료지정형태 has 59 (100.0%) missing valuesMissing
완화의료담당부서명 has 59 (100.0%) missing valuesMissing
총인원 has 59 (100.0%) missing valuesMissing
구조사수 has 59 (100.0%) missing valuesMissing
최초지정일자 has 59 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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
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 5 (8.5%) zerosZeros
입원실수 has 6 (10.2%) zerosZeros
병상수 has 5 (8.5%) zerosZeros

Reproduction

Analysis started2024-05-11 09:20:24.559804
Analysis finished2024-05-11 09:20:26.506733
Duration1.95 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
3240000
59 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 59
100.0%

Length

2024-05-11T09:20:26.920561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:20:27.420247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 59
100.0%

관리번호
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-05-11T09:20:28.005260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1475
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

Unique59 ?
Unique (%)100.0%

Sample

1st rowPHMA219823240033021200001
2nd rowPHMA219833240033021200001
3rd rowPHMA219833240033021200002
4th rowPHMA219833240033021200003
5th rowPHMA219853240033021200001
ValueCountFrequency (%)
phma219823240033021200001 1
 
1.7%
phma220113240033021200002 1
 
1.7%
phma220123240033021200002 1
 
1.7%
phma220123240033021200003 1
 
1.7%
phma220123240033021200004 1
 
1.7%
phma220133240033021200001 1
 
1.7%
phma220133240033021200002 1
 
1.7%
phma220133240033021200003 1
 
1.7%
phma220143240033021200001 1
 
1.7%
phma220143240033021200002 1
 
1.7%
Other values (49) 49
83.1%
2024-05-11T09:20:29.202566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 488
33.1%
2 317
21.5%
3 197
13.4%
1 120
 
8.1%
4 75
 
5.1%
P 59
 
4.0%
H 59
 
4.0%
M 59
 
4.0%
A 59
 
4.0%
9 13
 
0.9%
Other values (4) 29
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1239
84.0%
Uppercase Letter 236
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 488
39.4%
2 317
25.6%
3 197
15.9%
1 120
 
9.7%
4 75
 
6.1%
9 13
 
1.0%
8 9
 
0.7%
6 9
 
0.7%
5 6
 
0.5%
7 5
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 59
25.0%
H 59
25.0%
M 59
25.0%
A 59
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1239
84.0%
Latin 236
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 488
39.4%
2 317
25.6%
3 197
15.9%
1 120
 
9.7%
4 75
 
6.1%
9 13
 
1.0%
8 9
 
0.7%
6 9
 
0.7%
5 6
 
0.5%
7 5
 
0.4%
Latin
ValueCountFrequency (%)
P 59
25.0%
H 59
25.0%
M 59
25.0%
A 59
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1475
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 488
33.1%
2 317
21.5%
3 197
13.4%
1 120
 
8.1%
4 75
 
5.1%
P 59
 
4.0%
H 59
 
4.0%
M 59
 
4.0%
A 59
 
4.0%
9 13
 
0.9%
Other values (4) 29
 
2.0%

인허가일자
Date

Distinct56
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum1982-03-30 00:00:00
Maximum2024-01-25 00:00:00
2024-05-11T09:20:29.943740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:20:30.484278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
1
36 
3
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 36
61.0%
3 23
39.0%

Length

2024-05-11T09:20:31.096230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:20:31.519372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 36
61.0%
3 23
39.0%

영업상태명
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
영업/정상
36 
폐업
23 

Length

Max length5
Median length5
Mean length3.8305085
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 36
61.0%
폐업 23
39.0%

Length

2024-05-11T09:20:32.008998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:20:32.339273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 36
61.0%
폐업 23
39.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
13
36 
3
23 

Length

Max length2
Median length2
Mean length1.6101695
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 36
61.0%
3 23
39.0%

Length

2024-05-11T09:20:32.860605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:20:33.244832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 36
61.0%
3 23
39.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
영업중
36 
폐업
23 

Length

Max length3
Median length3
Mean length2.6101695
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 36
61.0%
폐업 23
39.0%

Length

2024-05-11T09:20:33.761767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:20:34.192417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 36
61.0%
폐업 23
39.0%

폐업일자
Date

MISSING 

Distinct21
Distinct (%)95.5%
Missing37
Missing (%)62.7%
Memory size604.0 B
Minimum2003-12-30 00:00:00
Maximum2023-11-19 00:00:00
2024-05-11T09:20:34.780162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:20:35.139704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

전화번호
Text

MISSING 

Distinct53
Distinct (%)93.0%
Missing2
Missing (%)3.4%
Memory size604.0 B
2024-05-11T09:20:35.779870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.982456
Min length8

Characters and Unicode

Total characters626
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

Unique50 ?
Unique (%)87.7%

Sample

1st row02-484-2138
2nd row02-483-1121
3rd row02-2225-1111
4th row02-470-1211
5th row02-2224-2114
ValueCountFrequency (%)
02-440-7114 3
 
5.3%
02-480-8000 2
 
3.5%
02-473-0675 2
 
3.5%
02-452-7075 1
 
1.8%
02-2045-9000 1
 
1.8%
02-1588-7740 1
 
1.8%
02-484-2138 1
 
1.8%
475-2202 1
 
1.8%
6969-2000 1
 
1.8%
0216007511 1
 
1.8%
Other values (43) 43
75.4%
2024-05-11T09:20:37.108288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 116
18.5%
- 105
16.8%
2 96
15.3%
4 67
10.7%
1 60
9.6%
7 47
7.5%
5 36
 
5.8%
3 31
 
5.0%
8 31
 
5.0%
6 22
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 521
83.2%
Dash Punctuation 105
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 116
22.3%
2 96
18.4%
4 67
12.9%
1 60
11.5%
7 47
9.0%
5 36
 
6.9%
3 31
 
6.0%
8 31
 
6.0%
6 22
 
4.2%
9 15
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 626
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 116
18.5%
- 105
16.8%
2 96
15.3%
4 67
10.7%
1 60
9.6%
7 47
7.5%
5 36
 
5.8%
3 31
 
5.0%
8 31
 
5.0%
6 22
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 626
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 116
18.5%
- 105
16.8%
2 96
15.3%
4 67
10.7%
1 60
9.6%
7 47
7.5%
5 36
 
5.8%
3 31
 
5.0%
8 31
 
5.0%
6 22
 
3.5%

소재지면적
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)100.0%
Missing23
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean9531.58
Minimum806.11
Maximum131353.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T09:20:37.705494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum806.11
5-th percentile813.01
Q11773.92
median3241.265
Q35157.9525
95-th percentile48505.84
Maximum131353.8
Range130547.69
Interquartile range (IQR)3384.0325

Descriptive statistics

Standard deviation23588.429
Coefficient of variation (CV)2.4747659
Kurtosis21.428998
Mean9531.58
Median Absolute Deviation (MAD)1667.57
Skewness4.4394525
Sum343136.88
Variance5.5641398 × 108
MonotonicityNot monotonic
2024-05-11T09:20:38.294847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1536.2 1
 
1.7%
1869.38 1
 
1.7%
812.14 1
 
1.7%
2924.26 1
 
1.7%
3542.88 1
 
1.7%
5669.13 1
 
1.7%
4272.11 1
 
1.7%
5119.47 1
 
1.7%
4025.06 1
 
1.7%
4871.34 1
 
1.7%
Other values (26) 26
44.1%
(Missing) 23
39.0%
ValueCountFrequency (%)
806.11 1
1.7%
812.14 1
1.7%
813.3 1
1.7%
937.46 1
1.7%
1100.98 1
1.7%
1158.43 1
1.7%
1334.99 1
1.7%
1536.2 1
1.7%
1718.72 1
1.7%
1792.32 1
1.7%
ValueCountFrequency (%)
131353.8 1
1.7%
51431.74 1
1.7%
47530.54 1
1.7%
13068.4 1
1.7%
8143.99 1
1.7%
6501.03 1
1.7%
5669.13 1
1.7%
5423.31 1
1.7%
5273.4 1
1.7%
5119.47 1
1.7%

소재지우편번호
Text

MISSING 

Distinct17
Distinct (%)81.0%
Missing38
Missing (%)64.4%
Memory size604.0 B
2024-05-11T09:20:38.918661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1428571
Min length6

Characters and Unicode

Total characters129
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

Unique13 ?
Unique (%)61.9%

Sample

1st row134011
2nd row134032
3rd row134030
4th row134869
5th row134050
ValueCountFrequency (%)
134750 2
 
9.5%
134032 2
 
9.5%
134011 2
 
9.5%
134050 2
 
9.5%
134-841 1
 
4.8%
134022 1
 
4.8%
134814 1
 
4.8%
134851 1
 
4.8%
134873 1
 
4.8%
134-727 1
 
4.8%
Other values (7) 7
33.3%
2024-05-11T09:20:40.027616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 31
24.0%
3 26
20.2%
4 25
19.4%
0 16
12.4%
8 8
 
6.2%
7 6
 
4.7%
5 6
 
4.7%
2 6
 
4.7%
- 3
 
2.3%
6 1
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 126
97.7%
Dash Punctuation 3
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 31
24.6%
3 26
20.6%
4 25
19.8%
0 16
12.7%
8 8
 
6.3%
7 6
 
4.8%
5 6
 
4.8%
2 6
 
4.8%
6 1
 
0.8%
9 1
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 129
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 31
24.0%
3 26
20.2%
4 25
19.4%
0 16
12.4%
8 8
 
6.2%
7 6
 
4.7%
5 6
 
4.7%
2 6
 
4.7%
- 3
 
2.3%
6 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 129
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 31
24.0%
3 26
20.2%
4 25
19.4%
0 16
12.4%
8 8
 
6.2%
7 6
 
4.7%
5 6
 
4.7%
2 6
 
4.7%
- 3
 
2.3%
6 1
 
0.8%

지번주소
Text

MISSING 

Distinct36
Distinct (%)92.3%
Missing20
Missing (%)33.9%
Memory size604.0 B
2024-05-11T09:20:40.766051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length24.666667
Min length18

Characters and Unicode

Total characters962
Distinct characters87
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

Unique33 ?
Unique (%)84.6%

Sample

1st row서울특별시 강동구 길1동 412번지 10호
2nd row서울특별시 강동구 성내2동 199번지 5호
3rd row서울특별시 강동구 성내동 78번지 1호
4th row서울특별시 강동구 천호2동 357번지
5th row서울특별시 강동구 암사1동 479번지 13호
ValueCountFrequency (%)
서울특별시 39
19.2%
강동구 39
19.2%
천호동 12
 
5.9%
길동 6
 
3.0%
성내동 6
 
3.0%
3호 6
 
3.0%
362번지 3
 
1.5%
5호 3
 
1.5%
357번지 3
 
1.5%
1호 3
 
1.5%
Other values (66) 83
40.9%
2024-05-11T09:20:42.049755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
17.0%
동 78
 
8.1%
서 41
 
4.3%
울 41
 
4.3%
시 40
 
4.2%
강 40
 
4.2%
특 39
 
4.1%
별 39
 
4.1%
구 39
 
4.1%
1 38
 
4.0%
Other values (77) 403
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 584
60.7%
Decimal Number 181
 
18.8%
Space Separator 164
 
17.0%
Other Punctuation 11
 
1.1%
Uppercase Letter 11
 
1.1%
Dash Punctuation 8
 
0.8%
Math Symbol 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 78
13.4%
서 41
 
7.0%
울 41
 
7.0%
시 40
 
6.8%
강 40
 
6.8%
특 39
 
6.7%
별 39
 
6.7%
구 39
 
6.7%
호 36
 
6.2%
지 31
 
5.3%
Other values (53) 160
27.4%
Decimal Number
ValueCountFrequency (%)
1 38
21.0%
5 31
17.1%
4 26
14.4%
3 22
12.2%
2 21
11.6%
7 13
 
7.2%
9 13
 
7.2%
6 8
 
4.4%
0 5
 
2.8%
8 4
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
E 2
18.2%
S 1
9.1%
C 1
9.1%
M 1
9.1%
D 1
9.1%
I 1
9.1%
T 1
9.1%
O 1
9.1%
W 1
9.1%
R 1
9.1%
Space Separator
ValueCountFrequency (%)
164
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 584
60.7%
Common 367
38.1%
Latin 11
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 78
13.4%
서 41
 
7.0%
울 41
 
7.0%
시 40
 
6.8%
강 40
 
6.8%
특 39
 
6.7%
별 39
 
6.7%
구 39
 
6.7%
호 36
 
6.2%
지 31
 
5.3%
Other values (53) 160
27.4%
Common
ValueCountFrequency (%)
164
44.7%
1 38
 
10.4%
5 31
 
8.4%
4 26
 
7.1%
3 22
 
6.0%
2 21
 
5.7%
7 13
 
3.5%
9 13
 
3.5%
, 11
 
3.0%
6 8
 
2.2%
Other values (4) 20
 
5.4%
Latin
ValueCountFrequency (%)
E 2
18.2%
S 1
9.1%
C 1
9.1%
M 1
9.1%
D 1
9.1%
I 1
9.1%
T 1
9.1%
O 1
9.1%
W 1
9.1%
R 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 584
60.7%
ASCII 378
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
164
43.4%
1 38
 
10.1%
5 31
 
8.2%
4 26
 
6.9%
3 22
 
5.8%
2 21
 
5.6%
7 13
 
3.4%
9 13
 
3.4%
, 11
 
2.9%
6 8
 
2.1%
Other values (14) 31
 
8.2%
Hangul
ValueCountFrequency (%)
동 78
13.4%
서 41
 
7.0%
울 41
 
7.0%
시 40
 
6.8%
강 40
 
6.8%
특 39
 
6.7%
별 39
 
6.7%
구 39
 
6.7%
호 36
 
6.2%
지 31
 
5.3%
Other values (53) 160
27.4%

도로명주소
Text

MISSING 

Distinct45
Distinct (%)91.8%
Missing10
Missing (%)16.9%
Memory size604.0 B
2024-05-11T09:20:42.798559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length30.55102
Min length22

Characters and Unicode

Total characters1497
Distinct characters117
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

Unique41 ?
Unique (%)83.7%

Sample

1st row서울특별시 강동구 진황도로61길 53 (둔촌동)
2nd row서울특별시 강동구 올림픽로 684 (천호동)
3rd row서울특별시 강동구 성안로 150 (길동)
4th row서울특별시 강동구 천호대로 1043 (천호동)
5th row서울특별시 강동구 성내로6길 15, 인애가한방병원 (성내동)
ValueCountFrequency (%)
서울특별시 49
17.0%
강동구 49
17.0%
천호동 14
 
4.8%
길동 13
 
4.5%
양재대로 11
 
3.8%
성내동 10
 
3.5%
천호대로 9
 
3.1%
올림픽로 8
 
2.8%
684 4
 
1.4%
명일동 3
 
1.0%
Other values (92) 119
41.2%
2024-05-11T09:20:44.091486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
240
 
16.0%
동 104
 
6.9%
서 52
 
3.5%
울 52
 
3.5%
구 52
 
3.5%
강 52
 
3.5%
로 50
 
3.3%
1 50
 
3.3%
시 50
 
3.3%
별 49
 
3.3%
Other values (107) 746
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 852
56.9%
Space Separator 240
 
16.0%
Decimal Number 224
 
15.0%
Open Punctuation 49
 
3.3%
Close Punctuation 49
 
3.3%
Other Punctuation 49
 
3.3%
Uppercase Letter 27
 
1.8%
Math Symbol 4
 
0.3%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 104
 
12.2%
서 52
 
6.1%
울 52
 
6.1%
구 52
 
6.1%
강 52
 
6.1%
로 50
 
5.9%
시 50
 
5.9%
별 49
 
5.8%
특 49
 
5.8%
천 27
 
3.2%
Other values (77) 315
37.0%
Uppercase Letter
ValueCountFrequency (%)
E 4
14.8%
M 4
14.8%
S 2
7.4%
C 2
7.4%
I 2
7.4%
D 2
7.4%
T 2
7.4%
O 2
7.4%
R 2
7.4%
W 2
7.4%
Other values (3) 3
11.1%
Decimal Number
ValueCountFrequency (%)
1 50
22.3%
5 31
13.8%
6 29
12.9%
3 25
11.2%
4 24
10.7%
2 23
10.3%
0 14
 
6.2%
8 13
 
5.8%
9 10
 
4.5%
7 5
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 46
93.9%
. 3
 
6.1%
Space Separator
ValueCountFrequency (%)
240
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 852
56.9%
Common 618
41.3%
Latin 27
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 104
 
12.2%
서 52
 
6.1%
울 52
 
6.1%
구 52
 
6.1%
강 52
 
6.1%
로 50
 
5.9%
시 50
 
5.9%
별 49
 
5.8%
특 49
 
5.8%
천 27
 
3.2%
Other values (77) 315
37.0%
Common
ValueCountFrequency (%)
240
38.8%
1 50
 
8.1%
( 49
 
7.9%
) 49
 
7.9%
, 46
 
7.4%
5 31
 
5.0%
6 29
 
4.7%
3 25
 
4.0%
4 24
 
3.9%
2 23
 
3.7%
Other values (7) 52
 
8.4%
Latin
ValueCountFrequency (%)
E 4
14.8%
M 4
14.8%
S 2
7.4%
C 2
7.4%
I 2
7.4%
D 2
7.4%
T 2
7.4%
O 2
7.4%
R 2
7.4%
W 2
7.4%
Other values (3) 3
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 852
56.9%
ASCII 645
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
240
37.2%
1 50
 
7.8%
( 49
 
7.6%
) 49
 
7.6%
, 46
 
7.1%
5 31
 
4.8%
6 29
 
4.5%
3 25
 
3.9%
4 24
 
3.7%
2 23
 
3.6%
Other values (20) 79
 
12.2%
Hangul
ValueCountFrequency (%)
동 104
 
12.2%
서 52
 
6.1%
울 52
 
6.1%
구 52
 
6.1%
강 52
 
6.1%
로 50
 
5.9%
시 50
 
5.9%
별 49
 
5.8%
특 49
 
5.8%
천 27
 
3.2%
Other values (77) 315
37.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)61.2%
Missing10
Missing (%)16.9%
Infinite0
Infinite (%)0.0%
Mean18549.837
Minimum5225
Maximum134869
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T09:20:44.679432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5225
5-th percentile5278
Q15323
median5355
Q35381
95-th percentile134788.4
Maximum134869
Range129644
Interquartile range (IQR)58

Descriptive statistics

Standard deviation39593.912
Coefficient of variation (CV)2.1344615
Kurtosis5.587744
Mean18549.837
Median Absolute Deviation (MAD)32
Skewness2.7131472
Sum908942
Variance1.5676779 × 109
MonotonicityNot monotonic
2024-05-11T09:20:45.266488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
5356 4
 
6.8%
5355 3
 
5.1%
5398 3
 
5.1%
5278 3
 
5.1%
5353 3
 
5.1%
5295 3
 
5.1%
5329 2
 
3.4%
5316 2
 
3.4%
134750 2
 
3.4%
5368 2
 
3.4%
Other values (20) 22
37.3%
(Missing) 10
16.9%
ValueCountFrequency (%)
5225 1
 
1.7%
5264 1
 
1.7%
5278 3
5.1%
5288 1
 
1.7%
5295 3
5.1%
5302 1
 
1.7%
5316 2
3.4%
5323 1
 
1.7%
5324 2
3.4%
5326 1
 
1.7%
ValueCountFrequency (%)
134869 1
 
1.7%
134815 1
 
1.7%
134814 1
 
1.7%
134750 2
3.4%
5408 1
 
1.7%
5399 2
3.4%
5398 3
5.1%
5387 1
 
1.7%
5381 1
 
1.7%
5379 1
 
1.7%

사업장명
Text

Distinct58
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-05-11T09:20:45.990042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length8.4745763
Min length3

Characters and Unicode

Total characters500
Distinct characters139
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)96.6%

Sample

1st row서울현대병원
2nd row동주병원
3rd row한국보훈복지의료공단 중앙보훈병원
4th row강동병원
5th row의료법인 한국암치료재단 서울중입자병원
ValueCountFrequency (%)
서울양병원 2
 
3.0%
한국보훈복지의료공단 2
 
3.0%
의료법인 2
 
3.0%
한국암치료재단 2
 
3.0%
헬스피아요양병원 1
 
1.5%
리더스병원 1
 
1.5%
참잘함한방병원 1
 
1.5%
더셀채원병원 1
 
1.5%
서울요양병원 1
 
1.5%
달려라병원 1
 
1.5%
Other values (53) 53
79.1%
2024-05-11T09:20:47.305463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 61
 
12.2%
병 59
 
11.8%
동 18
 
3.6%
한 16
 
3.2%
강 15
 
3.0%
양 14
 
2.8%
의 13
 
2.6%
울 12
 
2.4%
요 12
 
2.4%
방 12
 
2.4%
Other values (129) 268
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 490
98.0%
Space Separator 8
 
1.6%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 61
 
12.4%
병 59
 
12.0%
동 18
 
3.7%
한 16
 
3.3%
강 15
 
3.1%
양 14
 
2.9%
의 13
 
2.7%
울 12
 
2.4%
요 12
 
2.4%
방 12
 
2.4%
Other values (126) 258
52.7%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 490
98.0%
Common 10
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 61
 
12.4%
병 59
 
12.0%
동 18
 
3.7%
한 16
 
3.3%
강 15
 
3.1%
양 14
 
2.9%
의 13
 
2.7%
울 12
 
2.4%
요 12
 
2.4%
방 12
 
2.4%
Other values (126) 258
52.7%
Common
ValueCountFrequency (%)
8
80.0%
) 1
 
10.0%
( 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 490
98.0%
ASCII 10
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 61
 
12.4%
병 59
 
12.0%
동 18
 
3.7%
한 16
 
3.3%
강 15
 
3.1%
양 14
 
2.9%
의 13
 
2.7%
울 12
 
2.4%
요 12
 
2.4%
방 12
 
2.4%
Other values (126) 258
52.7%
ASCII
ValueCountFrequency (%)
8
80.0%
) 1
 
10.0%
( 1
 
10.0%

최종수정일자
Date

Distinct57
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2008-12-11 16:10:41
Maximum2024-05-07 14:50:26
2024-05-11T09:20:47.831737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:20:48.410005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
U
39 
I
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 39
66.1%
I 20
33.9%

Length

2024-05-11T09:20:48.860076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:20:49.188073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 39
66.1%
i 20
33.9%

데이터갱신일자
Date

Distinct16
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T09:20:49.513280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:20:50.006646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

업태구분명
Categorical

Distinct6
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size604.0 B
병원
28 
한방병원
12 
요양병원(일반요양병원)
12 
종합병원
3 
치과병원
3 

Length

Max length12
Median length10
Mean length4.779661
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row병원
2nd row병원
3rd row종합병원
4th row병원
5th row병원

Common Values

ValueCountFrequency (%)
병원 28
47.5%
한방병원 12
20.3%
요양병원(일반요양병원) 12
20.3%
종합병원 3
 
5.1%
치과병원 3
 
5.1%
요양병원(노인병원) 1
 
1.7%

Length

2024-05-11T09:20:50.512393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:20:50.962410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 28
47.5%
한방병원 12
20.3%
요양병원(일반요양병원 12
20.3%
종합병원 3
 
5.1%
치과병원 3
 
5.1%
요양병원(노인병원 1
 
1.7%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)70.0%
Missing9
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean211956.5
Minimum210587.49
Maximum215314.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T09:20:51.365218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210587.49
5-th percentile210716.25
Q1211162.44
median212084.04
Q3212386.74
95-th percentile213839.36
Maximum215314.75
Range4727.2577
Interquartile range (IQR)1224.3004

Descriptive statistics

Standard deviation1015.0399
Coefficient of variation (CV)0.0047889069
Kurtosis1.3254411
Mean211956.5
Median Absolute Deviation (MAD)843.30332
Skewness1.0433276
Sum10597825
Variance1030306.1
MonotonicityNot monotonic
2024-05-11T09:20:51.871104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
211004.466691043 4
 
6.8%
212084.038472021 3
 
5.1%
212221.342539571 3
 
5.1%
213839.356195548 3
 
5.1%
212386.739073801 2
 
3.4%
210640.975540871 2
 
3.4%
211174.771171465 2
 
3.4%
212634.191250352 2
 
3.4%
212987.201084796 2
 
3.4%
211171.467512363 2
 
3.4%
Other values (25) 25
42.4%
(Missing) 9
 
15.3%
ValueCountFrequency (%)
210587.488645319 1
 
1.7%
210640.975540871 2
3.4%
210808.253116091 1
 
1.7%
210824.621531021 1
 
1.7%
210970.75707265 1
 
1.7%
211004.466691043 4
6.8%
211070.71833639 1
 
1.7%
211120.614279331 1
 
1.7%
211159.42900767 1
 
1.7%
211171.467512363 2
3.4%
ValueCountFrequency (%)
215314.746342111 1
 
1.7%
214041.185642466 1
 
1.7%
213839.356195548 3
5.1%
212987.201084796 2
3.4%
212634.191250352 2
3.4%
212618.653947687 1
 
1.7%
212543.991693028 1
 
1.7%
212416.582100894 1
 
1.7%
212386.739073801 2
3.4%
212376.206725401 1
 
1.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)70.0%
Missing9
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean448531.5
Minimum446692.44
Maximum450689.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T09:20:52.280479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446692.44
5-th percentile447347.52
Q1447993.91
median448313.1
Q3449002.28
95-th percentile450118.26
Maximum450689.56
Range3997.1247
Interquartile range (IQR)1008.3718

Descriptive statistics

Standard deviation868.83554
Coefficient of variation (CV)0.0019370669
Kurtosis-0.20661169
Mean448531.5
Median Absolute Deviation (MAD)576.72856
Skewness0.4264281
Sum22426575
Variance754875.19
MonotonicityNot monotonic
2024-05-11T09:20:53.079966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
448897.237548386 4
 
6.8%
448058.444155867 3
 
5.1%
448245.019790445 3
 
5.1%
450118.261707983 3
 
5.1%
447993.909004129 2
 
3.4%
447566.083944129 2
 
3.4%
448678.909948061 2
 
3.4%
449540.492445005 2
 
3.4%
447504.948775288 2
 
3.4%
449037.295175834 2
 
3.4%
Other values (25) 25
42.4%
(Missing) 9
 
15.3%
ValueCountFrequency (%)
446692.439727784 1
1.7%
447276.508702471 1
1.7%
447299.229870215 1
1.7%
447406.530930065 1
1.7%
447504.948775288 2
3.4%
447566.083944129 2
3.4%
447761.215533459 1
1.7%
447813.540714969 1
1.7%
447964.735654156 1
1.7%
447989.176069951 1
1.7%
ValueCountFrequency (%)
450689.564473792 1
 
1.7%
450118.261707983 3
5.1%
449888.074494844 1
 
1.7%
449845.751989409 1
 
1.7%
449540.492445005 2
3.4%
449398.629637331 1
 
1.7%
449389.320472752 1
 
1.7%
449139.931500058 1
 
1.7%
449037.295175834 2
3.4%
448897.237548386 4
6.8%

의료기관종별명
Categorical

Distinct6
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
36 
병원
13 
요양병원(일반요양병원)
6 
한방병원
 
2
요양병원(노인병원)
 
1

Length

Max length12
Median length4
Mean length4.4745763
Min length2

Unique

Unique2 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
61.0%
병원 13
 
22.0%
요양병원(일반요양병원) 6
 
10.2%
한방병원 2
 
3.4%
요양병원(노인병원) 1
 
1.7%
치과병원 1
 
1.7%

Length

2024-05-11T09:20:53.720593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:20:54.199825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
61.0%
병원 13
 
22.0%
요양병원(일반요양병원 6
 
10.2%
한방병원 2
 
3.4%
요양병원(노인병원 1
 
1.7%
치과병원 1
 
1.7%

의료인수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)69.6%
Missing36
Missing (%)61.0%
Infinite0
Infinite (%)0.0%
Mean12.913043
Minimum0
Maximum48
Zeros5
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T09:20:54.604155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q318.5
95-th percentile39.9
Maximum48
Range48
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation15.102417
Coefficient of variation (CV)1.1695475
Kurtosis0.028559566
Mean12.913043
Median Absolute Deviation (MAD)7
Skewness1.1686532
Sum297
Variance228.083
MonotonicityNot monotonic
2024-05-11T09:20:55.063676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 5
 
8.5%
10 3
 
5.1%
1 2
 
3.4%
33 1
 
1.7%
25 1
 
1.7%
4 1
 
1.7%
3 1
 
1.7%
48 1
 
1.7%
7 1
 
1.7%
40 1
 
1.7%
Other values (6) 6
 
10.2%
(Missing) 36
61.0%
ValueCountFrequency (%)
0 5
8.5%
1 2
 
3.4%
3 1
 
1.7%
4 1
 
1.7%
5 1
 
1.7%
7 1
 
1.7%
8 1
 
1.7%
9 1
 
1.7%
10 3
5.1%
12 1
 
1.7%
ValueCountFrequency (%)
48 1
 
1.7%
40 1
 
1.7%
39 1
 
1.7%
33 1
 
1.7%
32 1
 
1.7%
25 1
 
1.7%
12 1
 
1.7%
10 3
5.1%
9 1
 
1.7%
8 1
 
1.7%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)65.2%
Missing36
Missing (%)61.0%
Infinite0
Infinite (%)0.0%
Mean18.608696
Minimum0
Maximum43
Zeros6
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T09:20:55.671793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median17
Q329
95-th percentile41.7
Maximum43
Range43
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.920209
Coefficient of variation (CV)0.80178695
Kurtosis-1.2133478
Mean18.608696
Median Absolute Deviation (MAD)13
Skewness0.181296
Sum428
Variance222.61265
MonotonicityNot monotonic
2024-05-11T09:20:56.303413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 6
 
10.2%
39 2
 
3.4%
28 2
 
3.4%
17 2
 
3.4%
21 1
 
1.7%
16 1
 
1.7%
36 1
 
1.7%
14 1
 
1.7%
18 1
 
1.7%
8 1
 
1.7%
Other values (5) 5
 
8.5%
(Missing) 36
61.0%
ValueCountFrequency (%)
0 6
10.2%
8 1
 
1.7%
10 1
 
1.7%
14 1
 
1.7%
16 1
 
1.7%
17 2
 
3.4%
18 1
 
1.7%
21 1
 
1.7%
22 1
 
1.7%
28 2
 
3.4%
ValueCountFrequency (%)
43 1
1.7%
42 1
1.7%
39 2
3.4%
36 1
1.7%
30 1
1.7%
28 2
3.4%
22 1
1.7%
21 1
1.7%
18 1
1.7%
17 2
3.4%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)73.9%
Missing36
Missing (%)61.0%
Infinite0
Infinite (%)0.0%
Mean90.304348
Minimum0
Maximum255
Zeros5
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T09:20:56.833607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130.5
median99
Q3143.5
95-th percentile244.8
Maximum255
Range255
Interquartile range (IQR)113

Descriptive statistics

Standard deviation76.38624
Coefficient of variation (CV)0.84587555
Kurtosis-0.12614438
Mean90.304348
Median Absolute Deviation (MAD)59
Skewness0.63179376
Sum2077
Variance5834.8577
MonotonicityNot monotonic
2024-05-11T09:20:57.430440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 5
 
8.5%
149 2
 
3.4%
99 2
 
3.4%
171 1
 
1.7%
71 1
 
1.7%
30 1
 
1.7%
40 1
 
1.7%
255 1
 
1.7%
138 1
 
1.7%
83 1
 
1.7%
Other values (7) 7
 
11.9%
(Missing) 36
61.0%
ValueCountFrequency (%)
0 5
8.5%
30 1
 
1.7%
31 1
 
1.7%
34 1
 
1.7%
40 1
 
1.7%
71 1
 
1.7%
83 1
 
1.7%
99 2
 
3.4%
103 1
 
1.7%
104 1
 
1.7%
ValueCountFrequency (%)
255 1
1.7%
253 1
1.7%
171 1
1.7%
153 1
1.7%
149 2
3.4%
138 1
1.7%
115 1
1.7%
104 1
1.7%
103 1
1.7%
99 2
3.4%

총면적
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)95.7%
Missing36
Missing (%)61.0%
Infinite0
Infinite (%)0.0%
Mean2571.2083
Minimum215.46
Maximum4700.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T09:20:57.930887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum215.46
5-th percentile781.078
Q11406.8
median2701
Q33519.5
95-th percentile4575.026
Maximum4700.7
Range4485.24
Interquartile range (IQR)2112.7

Descriptive statistics

Standard deviation1343.986
Coefficient of variation (CV)0.52270602
Kurtosis-1.1218479
Mean2571.2083
Median Absolute Deviation (MAD)1172
Skewness0.012774401
Sum59137.79
Variance1806298.4
MonotonicityNot monotonic
2024-05-11T09:20:58.517281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1307.4 2
 
3.4%
3540.0 1
 
1.7%
3222.9 1
 
1.7%
766.32 1
 
1.7%
215.46 1
 
1.7%
4502.81 1
 
1.7%
3542.88 1
 
1.7%
2818.25 1
 
1.7%
4700.7 1
 
1.7%
1003.72 1
 
1.7%
Other values (12) 12
 
20.3%
(Missing) 36
61.0%
ValueCountFrequency (%)
215.46 1
1.7%
766.32 1
1.7%
913.9 1
1.7%
1003.72 1
1.7%
1307.4 2
3.4%
1506.2 1
1.7%
1529.0 1
1.7%
2027.2 1
1.7%
2187.1 1
1.7%
2354.0 1
1.7%
ValueCountFrequency (%)
4700.7 1
1.7%
4583.05 1
1.7%
4502.81 1
1.7%
4383.5 1
1.7%
3542.88 1
1.7%
3540.0 1
1.7%
3499.0 1
1.7%
3366.0 1
1.7%
3222.9 1
1.7%
3160.0 1
1.7%

진료과목내용
Text

MISSING 

Distinct21
Distinct (%)91.3%
Missing36
Missing (%)61.0%
Memory size604.0 B
2024-05-11T09:20:59.084836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length39
Mean length26.826087
Min length3

Characters and Unicode

Total characters617
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

Unique20 ?
Unique (%)87.0%

Sample

1st row105 104 108 106 101 111 109 116
2nd row104 101 105 109 116
3rd row104 105 101
4th row101 105 116 119 122 401 104
5th row101
ValueCountFrequency (%)
101 20
 
12.5%
105 13
 
8.1%
120 10
 
6.2%
122 8
 
5.0%
102 8
 
5.0%
116 7
 
4.4%
301 7
 
4.4%
111 7
 
4.4%
104 7
 
4.4%
306 6
 
3.8%
Other values (19) 67
41.9%
2024-05-11T09:21:00.683874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 177
28.7%
137
22.2%
0 123
19.9%
3 57
 
9.2%
2 40
 
6.5%
5 21
 
3.4%
4 20
 
3.2%
6 19
 
3.1%
9 10
 
1.6%
8 8
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
77.8%
Space Separator 137
 
22.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 177
36.9%
0 123
25.6%
3 57
 
11.9%
2 40
 
8.3%
5 21
 
4.4%
4 20
 
4.2%
6 19
 
4.0%
9 10
 
2.1%
8 8
 
1.7%
7 5
 
1.0%
Space Separator
ValueCountFrequency (%)
137
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 617
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 177
28.7%
137
22.2%
0 123
19.9%
3 57
 
9.2%
2 40
 
6.5%
5 21
 
3.4%
4 20
 
3.2%
6 19
 
3.1%
9 10
 
1.6%
8 8
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 617
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 177
28.7%
137
22.2%
0 123
19.9%
3 57
 
9.2%
2 40
 
6.5%
5 21
 
3.4%
4 20
 
3.2%
6 19
 
3.1%
9 10
 
1.6%
8 8
 
1.3%

진료과목내용명
Text

MISSING 

Distinct21
Distinct (%)91.3%
Missing36
Missing (%)61.0%
Memory size604.0 B
2024-05-11T09:21:01.236368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length124
Median length48
Mean length43.565217
Min length2

Characters and Unicode

Total characters1002
Distinct characters53
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

Unique20 ?
Unique (%)87.0%

Sample

1st row내과, 외과, 정형외과, 신경외과, 성형외과, 마취통증의학과, 소아청소년과, 영상의학과
2nd row내과, 외과, 정형외과, 마취통증의학과, 영상의학과
3rd row내과, 외과, 정형외과
4th row내과, 외과, 정형외과, 영상의학과, 진단검사의학과, 가정의학과, 치과
5th row내과
ValueCountFrequency (%)
내과 20
 
12.5%
정형외과 13
 
8.1%
재활의학과 10
 
6.2%
가정의학과 8
 
5.0%
신경과 8
 
5.0%
영상의학과 7
 
4.4%
한방내과 7
 
4.4%
소아청소년과 7
 
4.4%
외과 7
 
4.4%
한방재활의학과 6
 
3.8%
Other values (19) 67
41.9%
2024-05-11T09:21:02.264071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 161
16.1%
, 137
13.7%
137
13.7%
의 43
 
4.3%
학 43
 
4.3%
방 35
 
3.5%
한 35
 
3.5%
정 28
 
2.8%
외 28
 
2.8%
내 27
 
2.7%
Other values (43) 328
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 718
71.7%
Other Punctuation 147
 
14.7%
Space Separator 137
 
13.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 161
22.4%
의 43
 
6.0%
학 43
 
6.0%
방 35
 
4.9%
한 35
 
4.9%
정 28
 
3.9%
외 28
 
3.9%
내 27
 
3.8%
신 25
 
3.5%
경 19
 
2.6%
Other values (40) 274
38.2%
Other Punctuation
ValueCountFrequency (%)
, 137
93.2%
? 10
 
6.8%
Space Separator
ValueCountFrequency (%)
137
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 718
71.7%
Common 284
 
28.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 161
22.4%
의 43
 
6.0%
학 43
 
6.0%
방 35
 
4.9%
한 35
 
4.9%
정 28
 
3.9%
외 28
 
3.9%
내 27
 
3.8%
신 25
 
3.5%
경 19
 
2.6%
Other values (40) 274
38.2%
Common
ValueCountFrequency (%)
, 137
48.2%
137
48.2%
? 10
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 718
71.7%
ASCII 284
 
28.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 161
22.4%
의 43
 
6.0%
학 43
 
6.0%
방 35
 
4.9%
한 35
 
4.9%
정 28
 
3.9%
외 28
 
3.9%
내 27
 
3.8%
신 25
 
3.5%
경 19
 
2.6%
Other values (40) 274
38.2%
ASCII
ValueCountFrequency (%)
, 137
48.2%
137
48.2%
? 10
 
3.5%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

구급차특수
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
36 
0
23 

Length

Max length4
Median length4
Mean length2.8305085
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
61.0%
0 23
39.0%

Length

2024-05-11T09:21:02.749400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:21:03.131282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
61.0%
0 23
39.0%

구급차일반
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
36 
0
23 

Length

Max length4
Median length4
Mean length2.8305085
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
61.0%
0 23
39.0%

Length

2024-05-11T09:21:03.578372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:21:03.976115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
61.0%
0 23
39.0%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

허가병상수
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
36 
0
23 

Length

Max length4
Median length4
Mean length2.8305085
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
61.0%
0 23
39.0%

Length

2024-05-11T09:21:04.330093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:21:04.627454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
61.0%
0 23
39.0%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03240000PHMA21982324003302120000119820330<NA>3폐업3폐업20100331<NA><NA><NA>02-484-2138<NA>134011서울특별시 강동구 길1동 412번지 10호<NA><NA>서울현대병원2010-03-31 18:03:18I2018-08-31 23:59:59.0병원<NA><NA>병원7391492354.0105 104 108 106 101 111 109 116내과, 외과, 정형외과, 신경외과, 성형외과, 마취통증의학과, 소아청소년과, 영상의학과<NA><NA><NA>00<NA><NA>0<NA>
13240000PHMA21983324003302120000119830506<NA>3폐업3폐업20090731<NA><NA><NA>02-483-1121<NA>134032서울특별시 강동구 성내2동 199번지 5호<NA><NA>동주병원2010-11-24 15:09:16I2018-08-31 23:59:59.0병원<NA><NA>병원528832187.1104 101 105 109 116내과, 외과, 정형외과, 마취통증의학과, 영상의학과<NA><NA><NA>00<NA><NA>0<NA>
23240000PHMA2198332400330212000021983-11-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2225-1111131353.8<NA><NA>서울특별시 강동구 진황도로61길 53 (둔촌동)5368한국보훈복지의료공단 중앙보훈병원2024-05-07 14:49:12U2023-12-05 00:09:00.0종합병원212987.201085447504.948775<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33240000PHMA21983324003302120000319830803<NA>3폐업3폐업20040131<NA><NA><NA><NA><NA>134030서울특별시 강동구 성내동 78번지 1호<NA><NA>강동병원2014-06-05 16:50:23I2018-08-31 23:59:59.0병원210824.621531448318.708462병원100301529.0104 105 101내과, 외과, 정형외과<NA><NA><NA>00<NA><NA>0<NA>
43240000PHMA21985324003302120000119850329<NA>3폐업3폐업20180119<NA><NA><NA>02-470-1211<NA>134869서울특별시 강동구 천호2동 357번지서울특별시 강동구 올림픽로 684 (천호동)134869의료법인 한국암치료재단 서울중입자병원2018-01-19 11:24:04I2018-08-31 23:59:59.0병원211004.466691448897.237548병원39391714583.05101 105 116 119 122 401 104내과, 외과, 정형외과, 영상의학과, 진단검사의학과, 가정의학과, 치과<NA><NA><NA>00<NA><NA>0<NA>
53240000PHMA2198632400330212000011986-10-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2224-211451431.74<NA><NA>서울특별시 강동구 성안로 150 (길동)5355성심의료재단강동성심병원2024-05-07 14:50:06U2023-12-05 00:09:00.0종합병원211883.688356448216.574876<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63240000PHMA21994324003302120000119940603<NA>3폐업3폐업20031230<NA><NA><NA><NA><NA>134050서울특별시 강동구 암사1동 479번지 13호<NA><NA>강동성모병원2008-12-11 16:10:42I2018-08-31 23:59:59.0병원<NA><NA>병원021713160.0101내과<NA><NA><NA>00<NA><NA>0<NA>
73240000PHMA21994324003302120000219940906<NA>3폐업3폐업20040902<NA><NA><NA>02-477-3424<NA>134031서울특별시 강동구 성내1동 551번지 3호<NA><NA>의료법인우신의료재단우신향한방병원2009-09-21 18:53:09I2018-08-31 23:59:59.0한방병원<NA><NA>한방병원0002027.2301 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>
83240000PHMA2200332400330212000012003-12-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-470-91143609.31<NA>서울특별시 강동구 천호동 452-1서울특별시 강동구 천호대로 1043 (천호동)5335서울미즈병원2024-03-28 11:03:42U2023-12-02 21:00:00.0병원211252.497096448379.705799<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93240000PHMA22004324003302120000120040412<NA>3폐업3폐업20050225<NA><NA><NA>02-442-6340<NA>134050서울특별시 강동구 암사1동 479번지 13호<NA><NA>아름다운병원2008-12-11 16:10:42I2018-08-31 23:59:59.0병원<NA><NA>병원0003366.0101내과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
493240000PHMA2201832400330212000012018-02-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1577-00824272.11<NA><NA>서울특별시 강동구 천호대로 1151 (길동)5356고은빛여성병원2024-04-26 17:52:07U2023-12-03 22:08:00.0병원212244.532512447998.326846<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503240000PHMA2201832400330212000022018-12-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-474-75705119.47<NA>서울특별시 강동구 천호동 421번지 4호 행복타워빌딩서울특별시 강동구 구천면로 202, 행복타워빌딩 B2,2,3,4,6층 (천호동)5329강동우리들요양병원2024-05-07 14:48:55U2023-12-05 00:09:00.0요양병원(일반요양병원)211174.771171448678.909948<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513240000PHMA2201932400330212000012019-01-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1899-58684025.06<NA>서울특별시 강동구 성내동 452 지하3, 지하1 일부, 1~5층서울특별시 강동구 강동대로 143-52, 지하3, 지하1 일부, 1~5층 (성내동)5398포레스트한방병원2024-05-07 14:49:58U2023-12-05 00:09:00.0한방병원210587.488645447299.22987<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523240000PHMA2202032400330212000012020-08-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6428-75754871.34<NA><NA>서울특별시 강동구 양재대로 1461, SC MEDI TOWER 6-13층 (길동)5353서울프라임한방병원2024-05-07 14:49:02U2023-12-05 00:09:00.0한방병원212221.34254448245.01979<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533240000PHMA2202032400330212000022020-11-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3013-33362283.64<NA><NA>서울특별시 강동구 양재대로 1596, 3~6층 (명일동)5295봄담한방병원2024-03-29 15:03:17U2023-12-04 00:01:00.0한방병원212634.19125449540.492445<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
543240000PHMA2202032400330212000032020-12-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2045-90006501.03<NA>서울특별시 강동구 고덕동 297-1 원케어메디컬타운서울특별시 강동구 고덕로 295-60, 원케어메디컬타운 (고덕동)5225서울숲요양병원2024-05-07 14:49:44U2023-12-05 00:09:00.0요양병원(일반요양병원)214041.185642450689.564474<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553240000PHMA2202232400330212000012022-12-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-452-7075937.46<NA>서울특별시 강동구 천호동 401-5 5층일부,6~7층서울특별시 강동구 구천면로 233, 5층일부,6~7층 (천호동)5326경희디에스한방병원2024-01-23 13:32:50U2023-11-30 22:05:00.0한방병원211411.319876448830.948477<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563240000PHMA2202332400330212000012023-02-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-473-15311792.32<NA>서울특별시 강동구 길동 412-10 SC MEDI TOWER서울특별시 강동구 양재대로 1461, SC MEDI TOWER 2,4,5층 (길동)5353위드힘병원2024-04-26 17:51:12U2023-12-03 22:08:00.0병원212221.34254448245.01979<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573240000PHMA2202332400330212000022023-03-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-474-85751718.72<NA><NA>서울특별시 강동구 천호대로 1133, 서울M타워 5,8,9,10층 (길동)5355강동기운찬한방병원2024-04-26 17:52:47U2023-12-03 22:08:00.0한방병원212084.038472448058.444156<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583240000PHMA2202432400330212000012024-01-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6416-10102663.12<NA><NA>서울특별시 강동구 강동대로 243, 풍원빌딩 (성내동)5408치휴한방병원2024-04-26 17:52:22U2023-12-03 22:08:00.0한방병원211685.290219446692.439728<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>