Overview

Dataset statistics

Number of variables41
Number of observations30
Missing cells402
Missing cells (%)32.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.4 KiB
Average record size in memory356.4 B

Variable types

Categorical13
Text8
DateTime4
Unsupported8
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
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-16173/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (73.5%)Imbalance
휴업종료일자 is highly imbalanced (73.5%)Imbalance
인허가취소일자 has 30 (100.0%) missing valuesMissing
폐업일자 has 17 (56.7%) missing valuesMissing
재개업일자 has 30 (100.0%) missing valuesMissing
전화번호 has 3 (10.0%) missing valuesMissing
소재지면적 has 16 (53.3%) missing valuesMissing
소재지우편번호 has 15 (50.0%) missing valuesMissing
지번주소 has 5 (16.7%) missing valuesMissing
도로명주소 has 1 (3.3%) missing valuesMissing
도로명우편번호 has 1 (3.3%) missing valuesMissing
좌표정보(X) has 1 (3.3%) missing valuesMissing
좌표정보(Y) has 1 (3.3%) missing valuesMissing
의료인수 has 17 (56.7%) missing valuesMissing
입원실수 has 17 (56.7%) missing valuesMissing
병상수 has 17 (56.7%) missing valuesMissing
총면적 has 17 (56.7%) missing valuesMissing
진료과목내용 has 17 (56.7%) missing valuesMissing
진료과목내용명 has 17 (56.7%) missing valuesMissing
지정취소일자 has 30 (100.0%) missing valuesMissing
완화의료지정형태 has 30 (100.0%) missing valuesMissing
완화의료담당부서명 has 30 (100.0%) missing valuesMissing
총인원 has 30 (100.0%) missing valuesMissing
구조사수 has 30 (100.0%) missing valuesMissing
최초지정일자 has 30 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
최종수정일자 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
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 5 (16.7%) zerosZeros
병상수 has 4 (13.3%) zerosZeros

Reproduction

Analysis started2024-04-06 12:56:52.646227
Analysis finished2024-04-06 12:56:53.558103
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3140000
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3140000
2nd row3140000
3rd row3140000
4th row3140000
5th row3140000

Common Values

ValueCountFrequency (%)
3140000 30
100.0%

Length

2024-04-06T21:56:53.664797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:56:53.831871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3140000 30
100.0%

관리번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-06T21:56:54.152086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters750
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowPHMA219853140033021200001
2nd rowPHMA219933140033021200001
3rd rowPHMA219933140033021200002
4th rowPHMA219973140033021200001
5th rowPHMA220013140033021200001
ValueCountFrequency (%)
phma219853140033021200001 1
 
3.3%
phma219933140033021200001 1
 
3.3%
phma220213140033021200001 1
 
3.3%
phma220193140033021200001 1
 
3.3%
phma220183140033021200002 1
 
3.3%
phma220183140033021200001 1
 
3.3%
phma220163140033021200001 1
 
3.3%
phma220143140033021200001 1
 
3.3%
phma220133140033021200002 1
 
3.3%
phma220133140033021200001 1
 
3.3%
Other values (20) 20
66.7%
2024-04-06T21:56:54.672176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 247
32.9%
2 131
17.5%
1 104
13.9%
3 96
 
12.8%
4 33
 
4.4%
P 30
 
4.0%
H 30
 
4.0%
M 30
 
4.0%
A 30
 
4.0%
9 9
 
1.2%
Other values (4) 10
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 630
84.0%
Uppercase Letter 120
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 247
39.2%
2 131
20.8%
1 104
16.5%
3 96
 
15.2%
4 33
 
5.2%
9 9
 
1.4%
8 4
 
0.6%
6 3
 
0.5%
7 2
 
0.3%
5 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
P 30
25.0%
H 30
25.0%
M 30
25.0%
A 30
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 630
84.0%
Latin 120
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 247
39.2%
2 131
20.8%
1 104
16.5%
3 96
 
15.2%
4 33
 
5.2%
9 9
 
1.4%
8 4
 
0.6%
6 3
 
0.5%
7 2
 
0.3%
5 1
 
0.2%
Latin
ValueCountFrequency (%)
P 30
25.0%
H 30
25.0%
M 30
25.0%
A 30
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 247
32.9%
2 131
17.5%
1 104
13.9%
3 96
 
12.8%
4 33
 
4.4%
P 30
 
4.0%
H 30
 
4.0%
M 30
 
4.0%
A 30
 
4.0%
9 9
 
1.2%
Other values (4) 10
 
1.3%

인허가일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum1985-05-17 00:00:00
Maximum2021-12-27 00:00:00
2024-04-06T21:56:54.915438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:56:55.181962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
17 
3
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 17
56.7%
3 13
43.3%

Length

2024-04-06T21:56:55.414165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:56:55.623884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
56.7%
3 13
43.3%

영업상태명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업/정상
17 
폐업
13 

Length

Max length5
Median length5
Mean length3.7
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 17
56.7%
폐업 13
43.3%

Length

2024-04-06T21:56:55.860734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:56:56.093708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 17
56.7%
폐업 13
43.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
13
17 
3
13 

Length

Max length2
Median length2
Mean length1.5666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 17
56.7%
3 13
43.3%

Length

2024-04-06T21:56:56.304185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:56:56.479074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 17
56.7%
3 13
43.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업중
17 
폐업
13 

Length

Max length3
Median length3
Mean length2.5666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 17
56.7%
폐업 13
43.3%

Length

2024-04-06T21:56:56.731013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:56:56.966478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 17
56.7%
폐업 13
43.3%

폐업일자
Date

MISSING 

Distinct13
Distinct (%)100.0%
Missing17
Missing (%)56.7%
Memory size372.0 B
Minimum2009-05-08 00:00:00
Maximum2024-03-29 00:00:00
2024-04-06T21:56:57.156112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:56:57.391577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
20120812
 
1
20130204
 
1

Length

Max length8
Median length4
Mean length4.2666667
Min length4

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
93.3%
20120812 1
 
3.3%
20130204 1
 
3.3%

Length

2024-04-06T21:56:57.662022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:56:57.910149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
20120812 1
 
3.3%
20130204 1
 
3.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
20121110
 
1
20130430
 
1

Length

Max length8
Median length4
Mean length4.2666667
Min length4

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
93.3%
20121110 1
 
3.3%
20130430 1
 
3.3%

Length

2024-04-06T21:56:58.207770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:56:58.442437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
20121110 1
 
3.3%
20130430 1
 
3.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

전화번호
Text

MISSING 

Distinct25
Distinct (%)92.6%
Missing3
Missing (%)10.0%
Memory size372.0 B
2024-04-06T21:56:58.759181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.296296
Min length9

Characters and Unicode

Total characters305
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

Unique23 ?
Unique (%)85.2%

Sample

1st row2644-1313
2nd row02-2650-5114
3rd row02-2693-5555
4th row6200-8801
5th row02-2604-7551
ValueCountFrequency (%)
02-2696-5601 2
 
7.4%
02-2649-1140 2
 
7.4%
1577-2894 1
 
3.7%
2644-1313 1
 
3.7%
02-2696-0119 1
 
3.7%
02-2602-8421 1
 
3.7%
02-2601-7111 1
 
3.7%
02-3663-9090 1
 
3.7%
02-6927-3646 1
 
3.7%
0226482727 1
 
3.7%
Other values (15) 15
55.6%
2024-04-06T21:56:59.458211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 57
18.7%
- 47
15.4%
0 46
15.1%
6 38
12.5%
1 34
11.1%
9 19
 
6.2%
5 19
 
6.2%
4 16
 
5.2%
8 11
 
3.6%
7 11
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 258
84.6%
Dash Punctuation 47
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 57
22.1%
0 46
17.8%
6 38
14.7%
1 34
13.2%
9 19
 
7.4%
5 19
 
7.4%
4 16
 
6.2%
8 11
 
4.3%
7 11
 
4.3%
3 7
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 305
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 57
18.7%
- 47
15.4%
0 46
15.1%
6 38
12.5%
1 34
11.1%
9 19
 
6.2%
5 19
 
6.2%
4 16
 
5.2%
8 11
 
3.6%
7 11
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 305
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 57
18.7%
- 47
15.4%
0 46
15.1%
6 38
12.5%
1 34
11.1%
9 19
 
6.2%
5 19
 
6.2%
4 16
 
5.2%
8 11
 
3.6%
7 11
 
3.6%

소재지면적
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing16
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean10645.416
Minimum544.1
Maximum56621.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T21:56:59.732188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum544.1
5-th percentile975.115
Q11572.115
median5236.415
Q37087.85
95-th percentile45378.835
Maximum56621.97
Range56077.87
Interquartile range (IQR)5515.735

Descriptive statistics

Standard deviation16546.362
Coefficient of variation (CV)1.554318
Kurtosis4.6356554
Mean10645.416
Median Absolute Deviation (MAD)3643.905
Skewness2.2886282
Sum149035.83
Variance2.7378211 × 108
MonotonicityNot monotonic
2024-04-06T21:57:00.036829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
56621.97 1
 
3.3%
13369.43 1
 
3.3%
1336.9 1
 
3.3%
6592.49 1
 
3.3%
2309.75 1
 
3.3%
6931.25 1
 
3.3%
6503.11 1
 
3.3%
544.1 1
 
3.3%
1207.2 1
 
3.3%
39324.84 1
 
3.3%
Other values (4) 4
 
13.3%
(Missing) 16
53.3%
ValueCountFrequency (%)
544.1 1
3.3%
1207.2 1
3.3%
1336.9 1
3.3%
1551.72 1
3.3%
1633.3 1
3.3%
2309.75 1
3.3%
3969.72 1
3.3%
6503.11 1
3.3%
6592.49 1
3.3%
6931.25 1
3.3%
ValueCountFrequency (%)
56621.97 1
3.3%
39324.84 1
3.3%
13369.43 1
3.3%
7140.05 1
3.3%
6931.25 1
3.3%
6592.49 1
3.3%
6503.11 1
3.3%
3969.72 1
3.3%
2309.75 1
3.3%
1633.3 1
3.3%

소재지우편번호
Text

MISSING 

Distinct13
Distinct (%)86.7%
Missing15
Missing (%)50.0%
Memory size372.0 B
2024-04-06T21:57:00.351518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.4666667
Min length6

Characters and Unicode

Total characters97
Distinct characters9
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

Unique11 ?
Unique (%)73.3%

Sample

1st row158-710
2nd row158-857
3rd row158074
4th row158-806
5th row158-074
ValueCountFrequency (%)
158074 2
13.3%
158840 2
13.3%
158-710 1
 
6.7%
158-857 1
 
6.7%
158-806 1
 
6.7%
158-074 1
 
6.7%
158071 1
 
6.7%
158-051 1
 
6.7%
158766 1
 
6.7%
158-073 1
 
6.7%
Other values (3) 3
20.0%
2024-04-06T21:57:00.948857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 22
22.7%
8 22
22.7%
5 17
17.5%
0 10
10.3%
7 8
 
8.2%
- 7
 
7.2%
4 6
 
6.2%
6 4
 
4.1%
3 1
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90
92.8%
Dash Punctuation 7
 
7.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 22
24.4%
8 22
24.4%
5 17
18.9%
0 10
11.1%
7 8
 
8.9%
4 6
 
6.7%
6 4
 
4.4%
3 1
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 97
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 22
22.7%
8 22
22.7%
5 17
17.5%
0 10
10.3%
7 8
 
8.2%
- 7
 
7.2%
4 6
 
6.2%
6 4
 
4.1%
3 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 97
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 22
22.7%
8 22
22.7%
5 17
17.5%
0 10
10.3%
7 8
 
8.2%
- 7
 
7.2%
4 6
 
6.2%
6 4
 
4.1%
3 1
 
1.0%

지번주소
Text

MISSING 

Distinct24
Distinct (%)96.0%
Missing5
Missing (%)16.7%
Memory size372.0 B
2024-04-06T21:57:01.448542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length28.28
Min length19

Characters and Unicode

Total characters707
Distinct characters72
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

Unique23 ?
Unique (%)92.0%

Sample

1st row서울특별시 양천구 목4동 793-3
2nd row서울특별시 양천구 목동 911번지 1호
3rd row서울특별시 양천구 신정동 899번지 1호 홍익병원본관
4th row서울특별시 양천구 신정동 907번지 12호
5th row서울특별시 양천구 신정4동 888번지 47호
ValueCountFrequency (%)
서울특별시 25
 
17.1%
양천구 25
 
17.1%
신정동 9
 
6.2%
신월동 5
 
3.4%
목동 5
 
3.4%
12호 4
 
2.7%
404번지 3
 
2.1%
14호 2
 
1.4%
목1동 2
 
1.4%
6층 2
 
1.4%
Other values (56) 64
43.8%
2024-04-06T21:57:02.238231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
17.1%
4 30
 
4.2%
동 26
 
3.7%
서 25
 
3.5%
특 25
 
3.5%
별 25
 
3.5%
시 25
 
3.5%
양 25
 
3.5%
천 25
 
3.5%
구 25
 
3.5%
Other values (62) 355
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 402
56.9%
Decimal Number 160
 
22.6%
Space Separator 121
 
17.1%
Other Punctuation 10
 
1.4%
Math Symbol 6
 
0.8%
Dash Punctuation 4
 
0.6%
Uppercase Letter 2
 
0.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 26
 
6.5%
서 25
 
6.2%
특 25
 
6.2%
별 25
 
6.2%
시 25
 
6.2%
양 25
 
6.2%
천 25
 
6.2%
구 25
 
6.2%
울 25
 
6.2%
지 24
 
6.0%
Other values (45) 152
37.8%
Decimal Number
ValueCountFrequency (%)
4 30
18.8%
1 23
14.4%
2 21
13.1%
9 16
10.0%
0 16
10.0%
6 15
9.4%
3 12
 
7.5%
5 12
 
7.5%
8 8
 
5.0%
7 7
 
4.4%
Space Separator
ValueCountFrequency (%)
121
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 402
56.9%
Common 303
42.9%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 26
 
6.5%
서 25
 
6.2%
특 25
 
6.2%
별 25
 
6.2%
시 25
 
6.2%
양 25
 
6.2%
천 25
 
6.2%
구 25
 
6.2%
울 25
 
6.2%
지 24
 
6.0%
Other values (45) 152
37.8%
Common
ValueCountFrequency (%)
121
39.9%
4 30
 
9.9%
1 23
 
7.6%
2 21
 
6.9%
9 16
 
5.3%
0 16
 
5.3%
6 15
 
5.0%
3 12
 
4.0%
5 12
 
4.0%
, 10
 
3.3%
Other values (6) 27
 
8.9%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 402
56.9%
ASCII 305
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
39.7%
4 30
 
9.8%
1 23
 
7.5%
2 21
 
6.9%
9 16
 
5.2%
0 16
 
5.2%
6 15
 
4.9%
3 12
 
3.9%
5 12
 
3.9%
, 10
 
3.3%
Other values (7) 29
 
9.5%
Hangul
ValueCountFrequency (%)
동 26
 
6.5%
서 25
 
6.2%
특 25
 
6.2%
별 25
 
6.2%
시 25
 
6.2%
양 25
 
6.2%
천 25
 
6.2%
구 25
 
6.2%
울 25
 
6.2%
지 24
 
6.0%
Other values (45) 152
37.8%

도로명주소
Text

MISSING 

Distinct25
Distinct (%)86.2%
Missing1
Missing (%)3.3%
Memory size372.0 B
2024-04-06T21:57:02.621270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length30.103448
Min length22

Characters and Unicode

Total characters873
Distinct characters94
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)79.3%

Sample

1st row서울특별시 양천구 안양천로 1071 (목동)
2nd row서울특별시 양천구 목동로 225, 홍익병원본관 (신정동)
3rd row서울특별시 양천구 오목로 199 (신정동)
4th row서울특별시 양천구 남부순환로 331 (신월동, 메디힐병원)
5th row서울특별시 양천구 신정중앙로 103 (신정동)
ValueCountFrequency (%)
서울특별시 29
16.7%
양천구 29
16.7%
신정동 12
 
6.9%
목동 9
 
5.2%
신월동 7
 
4.0%
신월로 6
 
3.4%
오목로 5
 
2.9%
151 4
 
2.3%
목동로 3
 
1.7%
189 2
 
1.1%
Other values (58) 68
39.1%
2024-04-06T21:57:03.326703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
 
16.6%
동 34
 
3.9%
, 32
 
3.7%
양 32
 
3.7%
1 32
 
3.7%
천 31
 
3.6%
서 31
 
3.6%
로 30
 
3.4%
신 30
 
3.4%
시 29
 
3.3%
Other values (84) 447
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 509
58.3%
Space Separator 145
 
16.6%
Decimal Number 122
 
14.0%
Other Punctuation 32
 
3.7%
Open Punctuation 29
 
3.3%
Close Punctuation 29
 
3.3%
Math Symbol 6
 
0.7%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 34
 
6.7%
양 32
 
6.3%
천 31
 
6.1%
서 31
 
6.1%
로 30
 
5.9%
신 30
 
5.9%
시 29
 
5.7%
구 29
 
5.7%
울 29
 
5.7%
별 29
 
5.7%
Other values (68) 205
40.3%
Decimal Number
ValueCountFrequency (%)
1 32
26.2%
2 18
14.8%
0 15
12.3%
3 13
10.7%
5 11
 
9.0%
8 9
 
7.4%
4 8
 
6.6%
9 8
 
6.6%
6 7
 
5.7%
7 1
 
0.8%
Space Separator
ValueCountFrequency (%)
145
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 509
58.3%
Common 363
41.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 34
 
6.7%
양 32
 
6.3%
천 31
 
6.1%
서 31
 
6.1%
로 30
 
5.9%
신 30
 
5.9%
시 29
 
5.7%
구 29
 
5.7%
울 29
 
5.7%
별 29
 
5.7%
Other values (68) 205
40.3%
Common
ValueCountFrequency (%)
145
39.9%
, 32
 
8.8%
1 32
 
8.8%
( 29
 
8.0%
) 29
 
8.0%
2 18
 
5.0%
0 15
 
4.1%
3 13
 
3.6%
5 11
 
3.0%
8 9
 
2.5%
Other values (5) 30
 
8.3%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 509
58.3%
ASCII 364
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
39.8%
, 32
 
8.8%
1 32
 
8.8%
( 29
 
8.0%
) 29
 
8.0%
2 18
 
4.9%
0 15
 
4.1%
3 13
 
3.6%
5 11
 
3.0%
8 9
 
2.5%
Other values (6) 31
 
8.5%
Hangul
ValueCountFrequency (%)
동 34
 
6.7%
양 32
 
6.3%
천 31
 
6.1%
서 31
 
6.1%
로 30
 
5.9%
신 30
 
5.9%
시 29
 
5.7%
구 29
 
5.7%
울 29
 
5.7%
별 29
 
5.7%
Other values (68) 205
40.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)86.2%
Missing1
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean28804.966
Minimum7905
Maximum158861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T21:57:03.549486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7905
5-th percentile7920.2
Q17968
median8011
Q38064
95-th percentile158840
Maximum158861
Range150956
Interquartile range (IQR)96

Descriptive statistics

Standard deviation52933.897
Coefficient of variation (CV)1.8376657
Kurtosis3.1230671
Mean28804.966
Median Absolute Deviation (MAD)53
Skewness2.2163216
Sum835344
Variance2.8019974 × 109
MonotonicityNot monotonic
2024-04-06T21:57:03.787062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
7999 2
 
6.7%
158840 2
 
6.7%
8032 2
 
6.7%
8022 2
 
6.7%
7985 1
 
3.3%
8049 1
 
3.3%
7909 1
 
3.3%
8106 1
 
3.3%
8003 1
 
3.3%
8019 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
7905 1
3.3%
7909 1
3.3%
7937 1
3.3%
7938 1
3.3%
7942 1
3.3%
7945 1
3.3%
7946 1
3.3%
7968 1
3.3%
7985 1
3.3%
7999 2
6.7%
ValueCountFrequency (%)
158861 1
3.3%
158840 2
6.7%
158811 1
3.3%
8106 1
3.3%
8086 1
3.3%
8065 1
3.3%
8064 1
3.3%
8049 1
3.3%
8032 2
6.7%
8022 2
6.7%

사업장명
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-06T21:57:04.126782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8.5
Mean length7.6666667
Min length4

Characters and Unicode

Total characters230
Distinct characters78
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st row연세허브병원
2nd row이화여자대학교의과대학부속목동병원
3rd row홍익병원
4th row목동예치과병원
5th row메디힐병원
ValueCountFrequency (%)
서울그린치과병원 2
 
6.5%
목동아이엠치과병원 1
 
3.2%
서울인화요양병원 1
 
3.2%
바른지성한방병원 1
 
3.2%
서울스마트요양병원 1
 
3.2%
목동성모요양병원 1
 
3.2%
목동제일여성병원 1
 
3.2%
솔빛한방병원 1
 
3.2%
아이토마토한방병원 1
 
3.2%
동서융합병원 1
 
3.2%
Other values (20) 20
64.5%
2024-04-06T21:57:04.695836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
병 30
 
13.0%
원 30
 
13.0%
동 10
 
4.3%
서 9
 
3.9%
목 8
 
3.5%
과 7
 
3.0%
양 7
 
3.0%
울 7
 
3.0%
치 6
 
2.6%
요 6
 
2.6%
Other values (68) 110
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 229
99.6%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
병 30
 
13.1%
원 30
 
13.1%
동 10
 
4.4%
서 9
 
3.9%
목 8
 
3.5%
과 7
 
3.1%
양 7
 
3.1%
울 7
 
3.1%
치 6
 
2.6%
요 6
 
2.6%
Other values (67) 109
47.6%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 229
99.6%
Common 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
병 30
 
13.1%
원 30
 
13.1%
동 10
 
4.4%
서 9
 
3.9%
목 8
 
3.5%
과 7
 
3.1%
양 7
 
3.1%
울 7
 
3.1%
치 6
 
2.6%
요 6
 
2.6%
Other values (67) 109
47.6%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 229
99.6%
ASCII 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
병 30
 
13.1%
원 30
 
13.1%
동 10
 
4.4%
서 9
 
3.9%
목 8
 
3.5%
과 7
 
3.1%
양 7
 
3.1%
울 7
 
3.1%
치 6
 
2.6%
요 6
 
2.6%
Other values (67) 109
47.6%
ASCII
ValueCountFrequency (%)
1
100.0%

최종수정일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2009-05-08 18:40:09
Maximum2024-03-29 09:00:41
2024-04-06T21:57:04.940087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:57:05.233422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
U
22 
I
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 22
73.3%
I 8
 
26.7%

Length

2024-04-06T21:57:05.493866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:57:05.709434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 22
73.3%
i 8
 
26.7%

데이터갱신일자
Date

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:05:00
2024-04-06T21:57:05.907353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:57:06.174929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

업태구분명
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
병원
9 
치과병원
6 
한방병원
6 
요양병원(일반요양병원)
6 
종합병원
3 

Length

Max length12
Median length8
Mean length5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
병원 9
30.0%
치과병원 6
20.0%
한방병원 6
20.0%
요양병원(일반요양병원) 6
20.0%
종합병원 3
 
10.0%

Length

2024-04-06T21:57:06.422333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:57:06.626323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 9
30.0%
치과병원 6
20.0%
한방병원 6
20.0%
요양병원(일반요양병원 6
20.0%
종합병원 3
 
10.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)79.3%
Missing1
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean187275.52
Minimum184448.5
Maximum189878.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T21:57:06.868324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184448.5
5-th percentile184908.2
Q1185887.95
median187522.74
Q3188309.63
95-th percentile189043.31
Maximum189878.41
Range5429.91
Interquartile range (IQR)2421.6797

Descriptive statistics

Standard deviation1405.3583
Coefficient of variation (CV)0.0075042286
Kurtosis-0.71809227
Mean187275.52
Median Absolute Deviation (MAD)950.0202
Skewness-0.33257873
Sum5430990
Variance1975031.9
MonotonicityNot monotonic
2024-04-06T21:57:07.129560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
185827.975624821 4
 
13.3%
187930.037785561 2
 
6.7%
187917.430453569 2
 
6.7%
187520.306766633 2
 
6.7%
189878.40729119 1
 
3.3%
188472.759197224 1
 
3.3%
184448.497335143 1
 
3.3%
187181.28483799 1
 
3.3%
188309.626961151 1
 
3.3%
186831.15837972 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
184448.497335143 1
 
3.3%
184727.430998613 1
 
3.3%
185179.358877689 1
 
3.3%
185827.975624821 4
13.3%
185887.947292775 1
 
3.3%
185962.809546697 1
 
3.3%
186770.943308232 1
 
3.3%
186831.15837972 1
 
3.3%
187181.28483799 1
 
3.3%
187520.306766633 2
6.7%
ValueCountFrequency (%)
189878.40729119 1
3.3%
189047.941727937 1
3.3%
189036.361978427 1
3.3%
188954.524397407 1
3.3%
188635.230900983 1
3.3%
188472.759197224 1
3.3%
188363.725402734 1
3.3%
188309.626961151 1
3.3%
187930.037785561 2
6.7%
187917.430453569 2
6.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)79.3%
Missing1
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean447085.61
Minimum445532.44
Maximum449767.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T21:57:07.356785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445532.44
5-th percentile445829.06
Q1446176.19
median446938.51
Q3447149.18
95-th percentile449619.19
Maximum449767.44
Range4234.9969
Interquartile range (IQR)972.9891

Descriptive statistics

Standard deviation1113.531
Coefficient of variation (CV)0.0024906437
Kurtosis1.0406884
Mean447085.61
Median Absolute Deviation (MAD)488.16431
Skewness1.2092399
Sum12965483
Variance1239951.2
MonotonicityNot monotonic
2024-04-06T21:57:07.568306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
446176.194065655 4
 
13.3%
449767.441786782 2
 
6.7%
447015.243697217 2
 
6.7%
446450.347274241 2
 
6.7%
448255.199632516 1
 
3.3%
447091.855963511 1
 
3.3%
448167.004353631 1
 
3.3%
445624.366466149 1
 
3.3%
446993.871604846 1
 
3.3%
446764.915938532 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
445532.444934761 1
 
3.3%
445624.366466149 1
 
3.3%
446136.098248558 1
 
3.3%
446176.170952681 1
 
3.3%
446176.194065655 4
13.3%
446450.347274241 2
6.7%
446631.246949745 1
 
3.3%
446764.915938532 1
 
3.3%
446824.338404844 1
 
3.3%
446907.841242813 1
 
3.3%
ValueCountFrequency (%)
449767.441786782 2
6.7%
449396.806374349 1
3.3%
448317.177185441 1
3.3%
448255.199632516 1
3.3%
448167.004353631 1
3.3%
447370.031967944 1
3.3%
447149.18316504 1
3.3%
447091.855963511 1
3.3%
447059.720049471 1
3.3%
447015.243697217 2
6.7%

의료기관종별명
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
17 
병원
4 
치과병원
4 
요양병원(일반요양병원)
3 
한방병원
2 

Length

Max length12
Median length4
Mean length4.5333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
56.7%
병원 4
 
13.3%
치과병원 4
 
13.3%
요양병원(일반요양병원) 3
 
10.0%
한방병원 2
 
6.7%

Length

2024-04-06T21:57:08.242673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:57:08.447129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
56.7%
병원 4
 
13.3%
치과병원 4
 
13.3%
요양병원(일반요양병원 3
 
10.0%
한방병원 2
 
6.7%

의료인수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)53.8%
Missing17
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean6.0769231
Minimum2
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T21:57:08.624887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median4
Q37
95-th percentile13.2
Maximum15
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.0509575
Coefficient of variation (CV)0.66661325
Kurtosis0.58175577
Mean6.0769231
Median Absolute Deviation (MAD)1
Skewness1.2674823
Sum79
Variance16.410256
MonotonicityNot monotonic
2024-04-06T21:57:08.840658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 5
 
16.7%
2 2
 
6.7%
5 2
 
6.7%
11 1
 
3.3%
12 1
 
3.3%
15 1
 
3.3%
7 1
 
3.3%
(Missing) 17
56.7%
ValueCountFrequency (%)
2 2
 
6.7%
4 5
16.7%
5 2
 
6.7%
7 1
 
3.3%
11 1
 
3.3%
12 1
 
3.3%
15 1
 
3.3%
ValueCountFrequency (%)
15 1
 
3.3%
12 1
 
3.3%
11 1
 
3.3%
7 1
 
3.3%
5 2
 
6.7%
4 5
16.7%
2 2
 
6.7%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)46.2%
Missing17
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean11.230769
Minimum0
Maximum28
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T21:57:09.061729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11
Q321
95-th percentile23.8
Maximum28
Range28
Interquartile range (IQR)21

Descriptive statistics

Standard deviation10.240067
Coefficient of variation (CV)0.9117868
Kurtosis-1.566701
Mean11.230769
Median Absolute Deviation (MAD)10
Skewness0.072798035
Sum146
Variance104.85897
MonotonicityNot monotonic
2024-04-06T21:57:09.245020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 5
 
16.7%
21 3
 
10.0%
11 2
 
6.7%
18 1
 
3.3%
15 1
 
3.3%
28 1
 
3.3%
(Missing) 17
56.7%
ValueCountFrequency (%)
0 5
16.7%
11 2
 
6.7%
15 1
 
3.3%
18 1
 
3.3%
21 3
10.0%
28 1
 
3.3%
ValueCountFrequency (%)
28 1
 
3.3%
21 3
10.0%
18 1
 
3.3%
15 1
 
3.3%
11 2
 
6.7%
0 5
16.7%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)61.5%
Missing17
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean57.538462
Minimum0
Maximum203
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T21:57:09.431617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median67
Q391
95-th percentile139.4
Maximum203
Range203
Interquartile range (IQR)91

Descriptive statistics

Standard deviation57.797946
Coefficient of variation (CV)1.0045098
Kurtosis2.2258191
Mean57.538462
Median Absolute Deviation (MAD)35
Skewness1.2385868
Sum748
Variance3340.6026
MonotonicityNot monotonic
2024-04-06T21:57:09.646404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 4
 
13.3%
67 3
 
10.0%
203 1
 
3.3%
94 1
 
3.3%
91 1
 
3.3%
30 1
 
3.3%
32 1
 
3.3%
97 1
 
3.3%
(Missing) 17
56.7%
ValueCountFrequency (%)
0 4
13.3%
30 1
 
3.3%
32 1
 
3.3%
67 3
10.0%
91 1
 
3.3%
94 1
 
3.3%
97 1
 
3.3%
203 1
 
3.3%
ValueCountFrequency (%)
203 1
 
3.3%
97 1
 
3.3%
94 1
 
3.3%
91 1
 
3.3%
67 3
10.0%
32 1
 
3.3%
30 1
 
3.3%
0 4
13.3%

총면적
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing17
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean1486.9477
Minimum199.5
Maximum4327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T21:57:09.858252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199.5
5-th percentile213
Q1634.55
median1575.14
Q31731.52
95-th percentile3166.954
Maximum4327
Range4127.5
Interquartile range (IQR)1096.97

Descriptive statistics

Standard deviation1099.2012
Coefficient of variation (CV)0.73923324
Kurtosis3.0283486
Mean1486.9477
Median Absolute Deviation (MAD)180.14
Skewness1.2747649
Sum19330.32
Variance1208243.2
MonotonicityNot monotonic
2024-04-06T21:57:10.088160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1621.99 2
 
6.7%
4327.0 1
 
3.3%
288.0 1
 
3.3%
1395.0 1
 
3.3%
199.5 1
 
3.3%
634.55 1
 
3.3%
1568.04 1
 
3.3%
1575.14 1
 
3.3%
1731.52 1
 
3.3%
222.0 1
 
3.3%
Other values (2) 2
 
6.7%
(Missing) 17
56.7%
ValueCountFrequency (%)
199.5 1
3.3%
222.0 1
3.3%
288.0 1
3.3%
634.55 1
3.3%
1395.0 1
3.3%
1568.04 1
3.3%
1575.14 1
3.3%
1621.99 2
6.7%
1731.52 1
3.3%
1752.0 1
3.3%
ValueCountFrequency (%)
4327.0 1
3.3%
2393.59 1
3.3%
1752.0 1
3.3%
1731.52 1
3.3%
1621.99 2
6.7%
1575.14 1
3.3%
1568.04 1
3.3%
1395.0 1
3.3%
634.55 1
3.3%
288.0 1
3.3%

진료과목내용
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing17
Missing (%)56.7%
Memory size372.0 B
2024-04-06T21:57:10.421176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length27
Min length3

Characters and Unicode

Total characters351
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 (%)100.0%

Sample

1st row101 104 111 110 116 118 120 109 106
2nd row411 410 409 408 407 406 405 404 403 402 401
3rd row101 105 109
4th row201 202 203 206 205 204 208 209 207 210
5th row202 205 208 203 206 209 204 201 207 401
ValueCountFrequency (%)
101 8
 
8.8%
120 6
 
6.6%
308 4
 
4.4%
105 4
 
4.4%
111 4
 
4.4%
305 3
 
3.3%
109 3
 
3.3%
306 3
 
3.3%
122 3
 
3.3%
401 3
 
3.3%
Other values (34) 50
54.9%
2024-04-06T21:57:11.043303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 78
22.2%
78
22.2%
0 77
21.9%
2 37
10.5%
3 22
 
6.3%
4 20
 
5.7%
5 11
 
3.1%
6 10
 
2.8%
8 8
 
2.3%
9 6
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 273
77.8%
Space Separator 78
 
22.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 78
28.6%
0 77
28.2%
2 37
13.6%
3 22
 
8.1%
4 20
 
7.3%
5 11
 
4.0%
6 10
 
3.7%
8 8
 
2.9%
9 6
 
2.2%
7 4
 
1.5%
Space Separator
ValueCountFrequency (%)
78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 351
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 78
22.2%
78
22.2%
0 77
21.9%
2 37
10.5%
3 22
 
6.3%
4 20
 
5.7%
5 11
 
3.1%
6 10
 
2.8%
8 8
 
2.3%
9 6
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 351
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 78
22.2%
78
22.2%
0 77
21.9%
2 37
10.5%
3 22
 
6.3%
4 20
 
5.7%
5 11
 
3.1%
6 10
 
2.8%
8 8
 
2.3%
9 6
 
1.7%

진료과목내용명
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing17
Missing (%)56.7%
Memory size372.0 B
2024-04-06T21:57:11.408694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length50
Mean length43.692308
Min length2

Characters and Unicode

Total characters568
Distinct characters54
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

Unique13 ?
Unique (%)100.0%

Sample

1st row내과, 외과, 신경외과, 마취통증의학과, 산부인과, 소아청소년과, 영상의학과, 병리과, 재활의학과
2nd row치과, 구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 영상치의학과, 구강병리과, 예방치과
3rd row내과, 정형외과, 마취통증의학과
4th row구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 구강악안면방사선과, 구강병리과, 예방치과
5th row구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 구강악안면방사선과, 구강병리과, 치과
ValueCountFrequency (%)
내과 8
 
8.8%
재활의학과 6
 
6.6%
소아청소년과 4
 
4.4%
정형외과 4
 
4.4%
침구과 4
 
4.4%
외과 3
 
3.3%
치과보존과 3
 
3.3%
한방신경정신과 3
 
3.3%
한방내과 3
 
3.3%
한방재활의학과 3
 
3.3%
Other values (25) 50
54.9%
2024-04-06T21:57:12.080963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 100
17.6%
, 78
13.7%
78
13.7%
치 21
 
3.7%
의 20
 
3.5%
학 20
 
3.5%
구 15
 
2.6%
방 15
 
2.6%
정 14
 
2.5%
내 14
 
2.5%
Other values (44) 193
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 412
72.5%
Other Punctuation 78
 
13.7%
Space Separator 78
 
13.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 100
24.3%
치 21
 
5.1%
의 20
 
4.9%
학 20
 
4.9%
구 15
 
3.6%
방 15
 
3.6%
정 14
 
3.4%
내 14
 
3.4%
소 12
 
2.9%
강 12
 
2.9%
Other values (42) 169
41.0%
Other Punctuation
ValueCountFrequency (%)
, 78
100.0%
Space Separator
ValueCountFrequency (%)
78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 412
72.5%
Common 156
 
27.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 100
24.3%
치 21
 
5.1%
의 20
 
4.9%
학 20
 
4.9%
구 15
 
3.6%
방 15
 
3.6%
정 14
 
3.4%
내 14
 
3.4%
소 12
 
2.9%
강 12
 
2.9%
Other values (42) 169
41.0%
Common
ValueCountFrequency (%)
, 78
50.0%
78
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 412
72.5%
ASCII 156
 
27.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 100
24.3%
치 21
 
5.1%
의 20
 
4.9%
학 20
 
4.9%
구 15
 
3.6%
방 15
 
3.6%
정 14
 
3.4%
내 14
 
3.4%
소 12
 
2.9%
강 12
 
2.9%
Other values (42) 169
41.0%
ASCII
ValueCountFrequency (%)
, 78
50.0%
78
50.0%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

구급차특수
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
17 
0
13 

Length

Max length4
Median length4
Mean length2.7
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
56.7%
0 13
43.3%

Length

2024-04-06T21:57:12.358664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:57:12.554976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
56.7%
0 13
43.3%

구급차일반
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
17 
0
13 

Length

Max length4
Median length4
Mean length2.7
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
56.7%
0 13
43.3%

Length

2024-04-06T21:57:12.748531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:57:12.923069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
56.7%
0 13
43.3%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

허가병상수
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
17 
0
13 

Length

Max length4
Median length4
Mean length2.7
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
56.7%
0 13
43.3%

Length

2024-04-06T21:57:13.132832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:57:13.336403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
56.7%
0 13
43.3%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03140000PHMA21985314003302120000119850517<NA>3폐업3폐업20090508<NA><NA><NA>2644-1313<NA><NA>서울특별시 양천구 목4동 793-3<NA><NA>연세허브병원2009-05-08 18:40:09I2018-08-31 23:59:59.0병원<NA><NA>병원1102034327.0101 104 111 110 116 118 120 109 106내과, 외과, 신경외과, 마취통증의학과, 산부인과, 소아청소년과, 영상의학과, 병리과, 재활의학과<NA><NA><NA>00<NA><NA>0<NA>
13140000PHMA2199331400330212000011993-07-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2650-511456621.97158-710서울특별시 양천구 목동 911번지 1호서울특별시 양천구 안양천로 1071 (목동)7985이화여자대학교의과대학부속목동병원2024-03-13 17:18:12U2023-12-02 23:05:00.0종합병원189878.407291448255.199633<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23140000PHMA2199331400330212000021993-08-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2693-555513369.43<NA>서울특별시 양천구 신정동 899번지 1호 홍익병원본관서울특별시 양천구 목동로 225, 홍익병원본관 (신정동)7937홍익병원2024-01-23 10:47:24U2023-11-30 22:05:00.0종합병원187879.054915447370.031968<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33140000PHMA2199731400330212000011997-12-15<NA>1영업/정상13영업중<NA><NA><NA><NA>6200-88011336.9158-857서울특별시 양천구 신정동 907번지 12호서울특별시 양천구 오목로 199 (신정동)7945목동예치과병원2024-01-26 14:09:05U2023-11-30 22:08:00.0치과병원187522.738999447059.720049<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43140000PHMA2200131400330212000012001-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2604-75516592.49<NA><NA>서울특별시 양천구 남부순환로 331 (신월동, 메디힐병원)7905메디힐병원2024-01-23 10:46:03U2023-11-30 22:05:00.0병원184727.430999448317.177185<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53140000PHMA22002314003302120000120021231<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2691-2875<NA>158074서울특별시 양천구 신정4동 888번지 47호서울특별시 양천구 신정중앙로 103 (신정동)7938이엔이치과병원2021-04-28 17:47:49U2021-04-30 02:40:00.0치과병원187852.723365447149.183165치과병원200288.0411 410 409 408 407 406 405 404 403 402 401치과, 구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 영상치의학과, 구강병리과, 예방치과<NA><NA><NA>00<NA><NA>0<NA>
63140000PHMA2200331400330212000012003-07-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2651-75002309.75<NA><NA>서울특별시 양천구 공항대로 610 (목동, 정종일산부인과)7968포미즈여성병원2023-11-07 09:25:29U2022-11-01 00:09:00.0병원188635.230901449396.806374<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73140000PHMA2200431400330212000012004-06-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2640-27006931.25158-806서울특별시 양천구 목1동 404번지 256호 지하2층~지상6층, 8층~9층서울특별시 양천구 오목로 351, B2~6,8~9층 (목동)7999의료법인해인의료재단 동신한방병원2024-01-23 10:47:45U2023-11-30 22:05:00.0한방병원189036.361978446938.511588<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83140000PHMA2200631400330212000012006-08-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1899-22216503.11<NA>서울특별시 양천구 목동 404번지 3호서울특별시 양천구 신목로 120 (목동, 힘찬병원)7999힘찬병원2024-01-23 10:45:05U2023-11-30 22:05:00.0병원189047.941728446975.068504<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93140000PHMA22006314003302120000220081117<NA>3폐업3폐업201210292012081220121110<NA><NA><NA><NA>서울특별시 양천구 신월4동 546-27서울특별시 양천구 신월로 151 (신월동)158840세정병원2012-10-29 15:48:16I2018-08-31 23:59:59.0병원185827.975625446176.194066병원421671395.0101 105 109내과, 정형외과, 마취통증의학과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
203140000PHMA22012314003302120000420121108<NA>3폐업3폐업20200501<NA><NA><NA>0226482727<NA>158861서울특별시 양천구 신정동 1023번지 12호 에벤에셀빌딩 4층 401, 402호서울특별시 양천구 은행정로 5, 401호, 402호 (신정동, 에벤에셀빌딩)8086서울그린치과병원2020-10-19 16:51:52U2020-10-21 02:40:00.0치과병원187520.306767446450.347274치과병원200222.0401치과<NA><NA><NA>00<NA><NA>0<NA>
213140000PHMA22013314003302120000120130419<NA>3폐업3폐업20160324<NA><NA><NA>02-2696-5601<NA>158840서울특별시 양천구 신월동 546번지 27호서울특별시 양천구 신월로 151 (신월동)8032서울세정병원2016-03-28 11:36:54I2018-08-31 23:59:59.0병원185827.975625446176.194066병원421671752.0101 105 104 111 113 114 115 116내과, 외과, 정형외과, 소아청소년과, 이비인후과, 피부과, 비뇨의학과, 영상의학과<NA><NA><NA>00<NA><NA>0<NA>
223140000PHMA22013314003302120000220131108<NA>3폐업3폐업20140827<NA><NA><NA>02-2649-1140<NA>158811서울특별시 양천구 목동 606번지 14호서울특별시 양천구 등촌로 230 (목동)158811동서융합병원2014-08-27 17:34:57I2018-08-31 23:59:59.0병원187930.037786449767.441787병원711301621.99101 120 111 301 305 308내과, 소아청소년과, 재활의학과, 한방내과, 한방신경정신과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
233140000PHMA22014314003302120000120140827<NA>3폐업3폐업20160601<NA><NA><NA>02-2649-1140<NA><NA>서울특별시 양천구 목동 606번지 14호 지하1층, 2층~6층서울특별시 양천구 등촌로 230 (목동, 지하1층, 2층~6층)7946아이토마토한방병원2016-05-31 14:38:09I2018-08-31 23:59:59.0한방병원187930.037786449767.441787한방병원411321621.99101 301 120 305 308 111 303 105내과, 정형외과, 소아청소년과, 재활의학과, 한방내과, 한방소아과, 한방신경정신과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
243140000PHMA2201631400330212000012016-04-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2696-56011633.3<NA><NA>서울특별시 양천구 신월로 151 (신월동)8032솔빛한방병원2024-01-05 16:46:35U2023-12-01 00:07:00.0한방병원185827.975625446176.194066<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253140000PHMA2201831400330212000012018-05-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6927-3646<NA><NA>서울특별시 양천구 신정동 943번지 19호 B02,B01, 지상2~5층서울특별시 양천구 중앙로 300 (신정동)8019목동제일여성병원2023-05-19 10:30:40U2022-12-04 22:01:00.0병원186831.15838446764.915939<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
263140000PHMA22018314003302120000220181211<NA>3폐업3폐업20210315<NA><NA><NA>02-3663-9090<NA><NA><NA>서울특별시 양천구 오목로 282, 서원빌딩 지하1층~3층층 (목동)8003목동성모요양병원2021-03-15 17:47:27U2021-03-17 02:40:00.0요양병원(일반요양병원)188309.626961446993.871605요양병원(일반요양병원)528972393.59101 102 103 104 106 120 122 306 307 308내과, 신경과, 정신건강의학과, 외과, 신경외과, 재활의학과, 가정의학과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
273140000PHMA2201931400330212000012019-12-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2601-71117140.05<NA>서울특별시 양천구 신정동 1268 복합메디컬타운서울특별시 양천구 중앙로 181, 복합메디컬타운 3~8층 (신정동)8106서울스마트요양병원2024-01-23 10:47:14U2023-11-30 22:05:00.0요양병원(일반요양병원)187181.284838445624.366466<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
283140000PHMA2202131400330212000012021-12-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2602-8421<NA><NA>서울특별시 양천구 신정동 994-5서울특별시 양천구 목동로 189, 2,3,4층 (신정동)8022바른지성한방병원2023-02-23 09:27:16U2022-12-01 22:05:00.0한방병원187917.430454447015.243697<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293140000PHMA2202131400330212000022021-12-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2691-91143969.72<NA>서울특별시 양천구 신월동 48-14서울특별시 양천구 가로공원로 81(신월동)7909서울제일요양병원2024-01-23 10:48:06U2023-11-30 22:05:00.0요양병원(일반요양병원)184448.497335448167.004354<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>