Overview

Dataset statistics

Number of variables41
Number of observations37
Missing cells592
Missing cells (%)39.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.8 KiB
Average record size in memory355.6 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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-16170/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 37 (100.0%) missing valuesMissing
폐업일자 has 22 (59.5%) missing valuesMissing
휴업시작일자 has 37 (100.0%) missing valuesMissing
휴업종료일자 has 37 (100.0%) missing valuesMissing
재개업일자 has 37 (100.0%) missing valuesMissing
전화번호 has 1 (2.7%) missing valuesMissing
소재지면적 has 23 (62.2%) missing valuesMissing
소재지우편번호 has 29 (78.4%) missing valuesMissing
지번주소 has 10 (27.0%) missing valuesMissing
도로명주소 has 1 (2.7%) missing valuesMissing
도로명우편번호 has 2 (5.4%) missing valuesMissing
좌표정보(X) has 4 (10.8%) missing valuesMissing
좌표정보(Y) has 4 (10.8%) missing valuesMissing
의료인수 has 21 (56.8%) missing valuesMissing
입원실수 has 21 (56.8%) missing valuesMissing
병상수 has 21 (56.8%) missing valuesMissing
총면적 has 21 (56.8%) missing valuesMissing
진료과목내용 has 21 (56.8%) missing valuesMissing
진료과목내용명 has 21 (56.8%) missing valuesMissing
지정취소일자 has 37 (100.0%) missing valuesMissing
완화의료지정형태 has 37 (100.0%) missing valuesMissing
완화의료담당부서명 has 37 (100.0%) missing valuesMissing
총인원 has 37 (100.0%) missing valuesMissing
구조사수 has 37 (100.0%) missing valuesMissing
최초지정일자 has 37 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 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
입원실수 has 3 (8.1%) zerosZeros
병상수 has 3 (8.1%) zerosZeros

Reproduction

Analysis started2024-05-11 05:56:59.873924
Analysis finished2024-05-11 05:57:00.760058
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
3110000
37 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 37
100.0%

Length

2024-05-11T05:57:00.970616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:01.317446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 37
100.0%

관리번호
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-05-11T05:57:01.800869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters925
Distinct characters13
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

Unique37 ?
Unique (%)100.0%

Sample

1st rowPHMA120193110032021100001
2nd rowPHMA219663110032021200001
3rd rowPHMA219803110032021200001
4th rowPHMA219833110032021200001
5th rowPHMA219973110032021200001
ValueCountFrequency (%)
phma120193110032021100001 1
 
2.7%
phma220093110032021200002 1
 
2.7%
phma220113110032021200001 1
 
2.7%
phma220113110032021200002 1
 
2.7%
phma220123110032021200001 1
 
2.7%
phma220133110032021200001 1
 
2.7%
phma220143110032021200001 1
 
2.7%
phma220143110032021200002 1
 
2.7%
phma220163110032021200001 1
 
2.7%
phma220163110032021200002 1
 
2.7%
Other values (27) 27
73.0%
2024-05-11T05:57:02.638989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 308
33.3%
2 192
20.8%
1 165
17.8%
3 78
 
8.4%
P 37
 
4.0%
H 37
 
4.0%
M 37
 
4.0%
A 37
 
4.0%
9 12
 
1.3%
6 8
 
0.9%
Other values (3) 14
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 777
84.0%
Uppercase Letter 148
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 308
39.6%
2 192
24.7%
1 165
21.2%
3 78
 
10.0%
9 12
 
1.5%
6 8
 
1.0%
8 5
 
0.6%
4 5
 
0.6%
7 4
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 37
25.0%
H 37
25.0%
M 37
25.0%
A 37
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 777
84.0%
Latin 148
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 308
39.6%
2 192
24.7%
1 165
21.2%
3 78
 
10.0%
9 12
 
1.5%
6 8
 
1.0%
8 5
 
0.6%
4 5
 
0.6%
7 4
 
0.5%
Latin
ValueCountFrequency (%)
P 37
25.0%
H 37
25.0%
M 37
25.0%
A 37
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 925
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 308
33.3%
2 192
20.8%
1 165
17.8%
3 78
 
8.4%
P 37
 
4.0%
H 37
 
4.0%
M 37
 
4.0%
A 37
 
4.0%
9 12
 
1.3%
6 8
 
0.9%
Other values (3) 14
 
1.5%

인허가일자
Date

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum1960-11-24 00:00:00
Maximum2021-04-22 00:00:00
2024-05-11T05:57:02.904869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:57:03.336435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
1
22 
3
14 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 22
59.5%
3 14
37.8%
4 1
 
2.7%

Length

2024-05-11T05:57:03.684947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:03.982965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 22
59.5%
3 14
37.8%
4 1
 
2.7%

영업상태명
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
영업/정상
22 
폐업
14 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.1081081
Min length2

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 22
59.5%
폐업 14
37.8%
취소/말소/만료/정지/중지 1
 
2.7%

Length

2024-05-11T05:57:04.229732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:04.552812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 22
59.5%
폐업 14
37.8%
취소/말소/만료/정지/중지 1
 
2.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
13
22 
3
14 
24
 
1

Length

Max length2
Median length2
Mean length1.6216216
Min length1

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
13 22
59.5%
3 14
37.8%
24 1
 
2.7%

Length

2024-05-11T05:57:04.858726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:05.148193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 22
59.5%
3 14
37.8%
24 1
 
2.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
영업중
22 
폐업
14 
직권폐업
 
1

Length

Max length4
Median length3
Mean length2.6486486
Min length2

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 22
59.5%
폐업 14
37.8%
직권폐업 1
 
2.7%

Length

2024-05-11T05:57:05.476953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:05.721609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 22
59.5%
폐업 14
37.8%
직권폐업 1
 
2.7%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)100.0%
Missing22
Missing (%)59.5%
Memory size428.0 B
Minimum2005-09-16 00:00:00
Maximum2023-09-26 00:00:00
2024-05-11T05:57:05.924720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:57:06.236907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

전화번호
Text

MISSING 

Distinct33
Distinct (%)91.7%
Missing1
Missing (%)2.7%
Memory size428.0 B
2024-05-11T05:57:06.706499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.5
Min length8

Characters and Unicode

Total characters378
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

Unique31 ?
Unique (%)86.1%

Sample

1st row02-1811-7755
2nd row300-8114
3rd row02-350-3300
4th row02-351-2300
5th row02-309-0909
ValueCountFrequency (%)
02-382-0075 3
 
8.3%
02-1811-7755 2
 
5.6%
02-357-0357 1
 
2.8%
02-382-0088 1
 
2.8%
1588-7562 1
 
2.8%
02-1588-3797 1
 
2.8%
1577-5046 1
 
2.8%
02-385-7800 1
 
2.8%
02-3156-3000 1
 
2.8%
300-8114 1
 
2.8%
Other values (23) 23
63.9%
2024-05-11T05:57:07.422864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 82
21.7%
- 62
16.4%
2 45
11.9%
3 40
10.6%
5 36
9.5%
8 32
 
8.5%
7 32
 
8.5%
1 23
 
6.1%
6 10
 
2.6%
9 10
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 316
83.6%
Dash Punctuation 62
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 82
25.9%
2 45
14.2%
3 40
12.7%
5 36
11.4%
8 32
 
10.1%
7 32
 
10.1%
1 23
 
7.3%
6 10
 
3.2%
9 10
 
3.2%
4 6
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 378
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 82
21.7%
- 62
16.4%
2 45
11.9%
3 40
10.6%
5 36
9.5%
8 32
 
8.5%
7 32
 
8.5%
1 23
 
6.1%
6 10
 
2.6%
9 10
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 378
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 82
21.7%
- 62
16.4%
2 45
11.9%
3 40
10.6%
5 36
9.5%
8 32
 
8.5%
7 32
 
8.5%
1 23
 
6.1%
6 10
 
2.6%
9 10
 
2.6%

소재지면적
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing23
Missing (%)62.2%
Infinite0
Infinite (%)0.0%
Mean16343.59
Minimum384.2
Maximum176891.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-11T05:57:07.654322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum384.2
5-th percentile832.245
Q11877.96
median2702.68
Q35342.4275
95-th percentile73765.838
Maximum176891.01
Range176506.81
Interquartile range (IQR)3464.4675

Descriptive statistics

Standard deviation46420.03
Coefficient of variation (CV)2.8402591
Kurtosis13.680956
Mean16343.59
Median Absolute Deviation (MAD)1062.865
Skewness3.6848435
Sum228810.26
Variance2.1548192 × 109
MonotonicityNot monotonic
2024-05-11T05:57:07.864320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
18236.9 1
 
2.7%
5894.91 1
 
2.7%
3684.98 1
 
2.7%
2864.0 1
 
2.7%
2541.36 1
 
2.7%
3122.96 1
 
2.7%
2362.8 1
 
2.7%
384.2 1
 
2.7%
1559.25 1
 
2.7%
1799.32 1
 
2.7%
Other values (4) 4
 
10.8%
(Missing) 23
62.2%
ValueCountFrequency (%)
384.2 1
2.7%
1073.5 1
2.7%
1559.25 1
2.7%
1799.32 1
2.7%
2113.88 1
2.7%
2362.8 1
2.7%
2541.36 1
2.7%
2864.0 1
2.7%
3122.96 1
2.7%
3684.98 1
2.7%
ValueCountFrequency (%)
176891.01 1
2.7%
18236.9 1
2.7%
6281.19 1
2.7%
5894.91 1
2.7%
3684.98 1
2.7%
3122.96 1
2.7%
2864.0 1
2.7%
2541.36 1
2.7%
2362.8 1
2.7%
2113.88 1
2.7%

소재지우편번호
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing29
Missing (%)78.4%
Memory size428.0 B
2024-05-11T05:57:08.127367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.25
Min length6

Characters and Unicode

Total characters50
Distinct characters10
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

Unique8 ?
Unique (%)100.0%

Sample

1st row122906
2nd row122813
3rd row122827
4th row122900
5th row122-813
ValueCountFrequency (%)
122906 1
12.5%
122813 1
12.5%
122827 1
12.5%
122900 1
12.5%
122-813 1
12.5%
122-070 1
12.5%
122869 1
12.5%
122042 1
12.5%
2024-05-11T05:57:08.721076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 18
36.0%
1 10
20.0%
0 6
 
12.0%
8 4
 
8.0%
9 3
 
6.0%
6 2
 
4.0%
3 2
 
4.0%
7 2
 
4.0%
- 2
 
4.0%
4 1
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48
96.0%
Dash Punctuation 2
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 18
37.5%
1 10
20.8%
0 6
 
12.5%
8 4
 
8.3%
9 3
 
6.2%
6 2
 
4.2%
3 2
 
4.2%
7 2
 
4.2%
4 1
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 18
36.0%
1 10
20.0%
0 6
 
12.0%
8 4
 
8.0%
9 3
 
6.0%
6 2
 
4.0%
3 2
 
4.0%
7 2
 
4.0%
- 2
 
4.0%
4 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 18
36.0%
1 10
20.0%
0 6
 
12.0%
8 4
 
8.0%
9 3
 
6.0%
6 2
 
4.0%
3 2
 
4.0%
7 2
 
4.0%
- 2
 
4.0%
4 1
 
2.0%

지번주소
Text

MISSING 

Distinct25
Distinct (%)92.6%
Missing10
Missing (%)27.0%
Memory size428.0 B
2024-05-11T05:57:09.151872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length24.888889
Min length18

Characters and Unicode

Total characters672
Distinct characters53
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
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 row서울특별시 은평구 진관동 55번지
2nd row서울특별시 은평구 응암2동 232번지 3호
3rd row서울특별시 은평구 응암동 42번지 5호
4th row서울특별시 은평구 구산동 191번지 1호
5th row서울특별시 은평구 갈현동 469번지 4호 5층
ValueCountFrequency (%)
서울특별시 27
18.0%
은평구 27
18.0%
불광동 5
 
3.3%
483번지 5
 
3.3%
11호 5
 
3.3%
녹번동 4
 
2.7%
응암동 4
 
2.7%
역촌동 3
 
2.0%
갈현동 3
 
2.0%
1호 3
 
2.0%
Other values (59) 64
42.7%
2024-05-11T05:57:09.888832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123
18.3%
1 34
 
5.1%
번 31
 
4.6%
지 30
 
4.5%
구 29
 
4.3%
서 27
 
4.0%
특 27
 
4.0%
별 27
 
4.0%
시 27
 
4.0%
은 27
 
4.0%
Other values (43) 290
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 406
60.4%
Decimal Number 134
 
19.9%
Space Separator 123
 
18.3%
Other Punctuation 7
 
1.0%
Math Symbol 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
번 31
 
7.6%
지 30
 
7.4%
구 29
 
7.1%
서 27
 
6.7%
특 27
 
6.7%
별 27
 
6.7%
시 27
 
6.7%
은 27
 
6.7%
평 27
 
6.7%
울 27
 
6.7%
Other values (30) 127
31.3%
Decimal Number
ValueCountFrequency (%)
1 34
25.4%
2 23
17.2%
3 18
13.4%
4 16
11.9%
8 10
 
7.5%
5 10
 
7.5%
9 7
 
5.2%
7 6
 
4.5%
6 6
 
4.5%
0 4
 
3.0%
Space Separator
ValueCountFrequency (%)
123
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 406
60.4%
Common 266
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
번 31
 
7.6%
지 30
 
7.4%
구 29
 
7.1%
서 27
 
6.7%
특 27
 
6.7%
별 27
 
6.7%
시 27
 
6.7%
은 27
 
6.7%
평 27
 
6.7%
울 27
 
6.7%
Other values (30) 127
31.3%
Common
ValueCountFrequency (%)
123
46.2%
1 34
 
12.8%
2 23
 
8.6%
3 18
 
6.8%
4 16
 
6.0%
8 10
 
3.8%
5 10
 
3.8%
9 7
 
2.6%
, 7
 
2.6%
7 6
 
2.3%
Other values (3) 12
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 406
60.4%
ASCII 266
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123
46.2%
1 34
 
12.8%
2 23
 
8.6%
3 18
 
6.8%
4 16
 
6.0%
8 10
 
3.8%
5 10
 
3.8%
9 7
 
2.6%
, 7
 
2.6%
7 6
 
2.3%
Other values (3) 12
 
4.5%
Hangul
ValueCountFrequency (%)
번 31
 
7.6%
지 30
 
7.4%
구 29
 
7.1%
서 27
 
6.7%
특 27
 
6.7%
별 27
 
6.7%
시 27
 
6.7%
은 27
 
6.7%
평 27
 
6.7%
울 27
 
6.7%
Other values (30) 127
31.3%

도로명주소
Text

MISSING 

Distinct34
Distinct (%)94.4%
Missing1
Missing (%)2.7%
Memory size428.0 B
2024-05-11T05:57:10.385686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length38
Mean length28.638889
Min length22

Characters and Unicode

Total characters1031
Distinct characters86
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)88.9%

Sample

1st row서울특별시 은평구 통일로 1021 (진관동)
2nd row서울특별시 은평구 백련산로 90 (응암동)
3rd row서울특별시 은평구 통일로 873 (갈현동)
4th row서울특별시 은평구 백련산로14길 20-11 (응암동)
5th row서울특별시 은평구 응암로 164 (응암동)
ValueCountFrequency (%)
서울특별시 36
17.2%
은평구 36
17.2%
통일로 14
 
6.7%
응암동 8
 
3.8%
불광동 6
 
2.9%
녹번동 5
 
2.4%
연서로 5
 
2.4%
갈현동 5
 
2.4%
서오릉로 4
 
1.9%
역촌동 4
 
1.9%
Other values (68) 86
41.1%
2024-05-11T05:57:11.299018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
173
 
16.8%
서 46
 
4.5%
은 39
 
3.8%
평 39
 
3.8%
구 38
 
3.7%
울 37
 
3.6%
동 37
 
3.6%
시 36
 
3.5%
( 36
 
3.5%
특 36
 
3.5%
Other values (76) 514
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 597
57.9%
Space Separator 173
 
16.8%
Decimal Number 148
 
14.4%
Open Punctuation 36
 
3.5%
Close Punctuation 36
 
3.5%
Other Punctuation 34
 
3.3%
Math Symbol 5
 
0.5%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 46
 
7.7%
은 39
 
6.5%
평 39
 
6.5%
구 38
 
6.4%
울 37
 
6.2%
동 37
 
6.2%
시 36
 
6.0%
특 36
 
6.0%
별 36
 
6.0%
로 36
 
6.0%
Other values (60) 217
36.3%
Decimal Number
ValueCountFrequency (%)
1 31
20.9%
2 20
13.5%
6 19
12.8%
0 18
12.2%
3 16
10.8%
9 14
9.5%
4 11
 
7.4%
7 11
 
7.4%
5 5
 
3.4%
8 3
 
2.0%
Space Separator
ValueCountFrequency (%)
173
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 597
57.9%
Common 434
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 46
 
7.7%
은 39
 
6.5%
평 39
 
6.5%
구 38
 
6.4%
울 37
 
6.2%
동 37
 
6.2%
시 36
 
6.0%
특 36
 
6.0%
별 36
 
6.0%
로 36
 
6.0%
Other values (60) 217
36.3%
Common
ValueCountFrequency (%)
173
39.9%
( 36
 
8.3%
) 36
 
8.3%
, 34
 
7.8%
1 31
 
7.1%
2 20
 
4.6%
6 19
 
4.4%
0 18
 
4.1%
3 16
 
3.7%
9 14
 
3.2%
Other values (6) 37
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 597
57.9%
ASCII 434
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
173
39.9%
( 36
 
8.3%
) 36
 
8.3%
, 34
 
7.8%
1 31
 
7.1%
2 20
 
4.6%
6 19
 
4.4%
0 18
 
4.1%
3 16
 
3.7%
9 14
 
3.2%
Other values (6) 37
 
8.5%
Hangul
ValueCountFrequency (%)
서 46
 
7.7%
은 39
 
6.5%
평 39
 
6.5%
구 38
 
6.4%
울 37
 
6.2%
동 37
 
6.2%
시 36
 
6.0%
특 36
 
6.0%
별 36
 
6.0%
로 36
 
6.0%
Other values (60) 217
36.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)82.9%
Missing2
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean10224.771
Minimum3312
Maximum122869
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-11T05:57:11.601207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3312
5-th percentile3323.2
Q13347
median3409
Q33459.5
95-th percentile39278.5
Maximum122869
Range119557
Interquartile range (IQR)112.5

Descriptive statistics

Standard deviation28129.004
Coefficient of variation (CV)2.7510644
Kurtosis14.751943
Mean10224.771
Median Absolute Deviation (MAD)53
Skewness3.9888405
Sum357867
Variance7.9124089 × 108
MonotonicityNot monotonic
2024-05-11T05:57:12.093771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3341 3
 
8.1%
3312 2
 
5.4%
3409 2
 
5.4%
3372 2
 
5.4%
3459 2
 
5.4%
122813 1
 
2.7%
3417 1
 
2.7%
3353 1
 
2.7%
3328 1
 
2.7%
3455 1
 
2.7%
Other values (19) 19
51.4%
(Missing) 2
 
5.4%
ValueCountFrequency (%)
3312 2
5.4%
3328 1
 
2.7%
3330 1
 
2.7%
3333 1
 
2.7%
3334 1
 
2.7%
3341 3
8.1%
3353 1
 
2.7%
3368 1
 
2.7%
3372 2
5.4%
3382 1
 
2.7%
ValueCountFrequency (%)
122869 1
2.7%
122813 1
2.7%
3478 1
2.7%
3476 1
2.7%
3474 1
2.7%
3466 1
2.7%
3464 1
2.7%
3462 1
2.7%
3460 1
2.7%
3459 2
5.4%

사업장명
Text

Distinct34
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-05-11T05:57:12.548214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.4594595
Min length4

Characters and Unicode

Total characters276
Distinct characters87
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)86.5%

Sample

1st row가톨릭대학교 은평성모병원
2nd row서울특별시은평병원
3rd row의료법인 청구성심병원
4th row재)마리아수녀회 도티기념병원
5th row인정병원
ValueCountFrequency (%)
수사랑한방병원 3
 
7.0%
의료법인 2
 
4.7%
가톨릭대학교 2
 
4.7%
은평성모병원 2
 
4.7%
이우요양병원 1
 
2.3%
수복지한방병원 1
 
2.3%
노블요양병원 1
 
2.3%
참튼튼병원 1
 
2.3%
최원호병원 1
 
2.3%
연세에덴요양병원 1
 
2.3%
Other values (28) 28
65.1%
2024-05-11T05:57:13.273363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 38
 
13.8%
병 37
 
13.4%
한 10
 
3.6%
양 9
 
3.3%
요 8
 
2.9%
방 8
 
2.9%
서 7
 
2.5%
은 7
 
2.5%
6
 
2.2%
성 6
 
2.2%
Other values (77) 140
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 266
96.4%
Space Separator 6
 
2.2%
Decimal Number 2
 
0.7%
Uppercase Letter 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 38
 
14.3%
병 37
 
13.9%
한 10
 
3.8%
양 9
 
3.4%
요 8
 
3.0%
방 8
 
3.0%
서 7
 
2.6%
은 7
 
2.6%
성 6
 
2.3%
평 6
 
2.3%
Other values (72) 130
48.9%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 266
96.4%
Common 9
 
3.3%
Latin 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 38
 
14.3%
병 37
 
13.9%
한 10
 
3.8%
양 9
 
3.4%
요 8
 
3.0%
방 8
 
3.0%
서 7
 
2.6%
은 7
 
2.6%
성 6
 
2.3%
평 6
 
2.3%
Other values (72) 130
48.9%
Common
ValueCountFrequency (%)
6
66.7%
2 1
 
11.1%
1 1
 
11.1%
) 1
 
11.1%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 266
96.4%
ASCII 10
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 38
 
14.3%
병 37
 
13.9%
한 10
 
3.8%
양 9
 
3.4%
요 8
 
3.0%
방 8
 
3.0%
서 7
 
2.6%
은 7
 
2.6%
성 6
 
2.3%
평 6
 
2.3%
Other values (72) 130
48.9%
ASCII
ValueCountFrequency (%)
6
60.0%
2 1
 
10.0%
1 1
 
10.0%
C 1
 
10.0%
) 1
 
10.0%

최종수정일자
Date

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum2009-05-18 15:28:59
Maximum2024-05-03 02:43:16
2024-05-11T05:57:13.666226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:57:13.959916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

데이터갱신구분
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
U
26 
I
10 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
U 26
70.3%
I 10
 
27.0%
D 1
 
2.7%

Length

2024-05-11T05:57:14.234153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:14.427550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 26
70.3%
i 10
 
27.0%
d 1
 
2.7%

데이터갱신일자
Date

Distinct27
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T05:57:14.618165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:57:14.967813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

업태구분명
Categorical

Distinct6
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
병원
13 
요양병원(일반요양병원)
8 
한방병원
8 
치과병원
4 
종합병원
3 

Length

Max length12
Median length4
Mean length5.027027
Min length2

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
병원 13
35.1%
요양병원(일반요양병원) 8
21.6%
한방병원 8
21.6%
치과병원 4
 
10.8%
종합병원 3
 
8.1%
정신병원 1
 
2.7%

Length

2024-05-11T05:57:15.255537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:15.469608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 13
35.1%
요양병원(일반요양병원 8
21.6%
한방병원 8
21.6%
치과병원 4
 
10.8%
종합병원 3
 
8.1%
정신병원 1
 
2.7%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)81.8%
Missing4
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean192964.54
Minimum191428.13
Maximum194251.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-11T05:57:15.729029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191428.13
5-th percentile191895.09
Q1192542.25
median192828.6
Q3193261.27
95-th percentile194220.32
Maximum194251.36
Range2823.2342
Interquartile range (IQR)719.02178

Descriptive statistics

Standard deviation700.90278
Coefficient of variation (CV)0.0036322881
Kurtosis-0.10900447
Mean192964.54
Median Absolute Deviation (MAD)303.01431
Skewness0.24125181
Sum6367829.7
Variance491264.71
MonotonicityNot monotonic
2024-05-11T05:57:16.106562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
192891.252318491 4
 
10.8%
192551.98978217 2
 
5.4%
194220.324789601 2
 
5.4%
192525.587513982 2
 
5.4%
191702.077019611 1
 
2.7%
192972.510360374 1
 
2.7%
193937.982430394 1
 
2.7%
192825.839432469 1
 
2.7%
192747.915890233 1
 
2.7%
193778.708753016 1
 
2.7%
Other values (17) 17
45.9%
(Missing) 4
 
10.8%
ValueCountFrequency (%)
191428.12937323 1
2.7%
191702.077019611 1
2.7%
192023.767867284 1
2.7%
192429.140308928 1
2.7%
192443.706707331 1
2.7%
192525.587513982 2
5.4%
192530.535974525 1
2.7%
192542.250837577 1
2.7%
192551.98978217 2
5.4%
192640.903780482 1
2.7%
ValueCountFrequency (%)
194251.363562897 1
2.7%
194220.324789601 2
5.4%
194047.377531025 1
2.7%
193937.982430394 1
2.7%
193814.576026954 1
2.7%
193778.708753016 1
2.7%
193647.968955859 1
2.7%
193261.272622326 1
2.7%
193192.019829273 1
2.7%
193094.466511401 1
2.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)81.8%
Missing4
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean456331.78
Minimum453806.88
Maximum459028.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-11T05:57:16.495506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453806.88
5-th percentile454714.84
Q1455324.35
median455932.11
Q3457225.22
95-th percentile458553.14
Maximum459028.51
Range5221.6265
Interquartile range (IQR)1900.8719

Descriptive statistics

Standard deviation1324.1156
Coefficient of variation (CV)0.002901651
Kurtosis-0.60020026
Mean456331.78
Median Absolute Deviation (MAD)802.40567
Skewness0.42007501
Sum15058949
Variance1753282
MonotonicityNot monotonic
2024-05-11T05:57:16.947379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
457952.353058325 4
 
10.8%
455278.568446081 2
 
5.4%
455685.624980552 2
 
5.4%
459028.508907601 2
 
5.4%
455932.109030751 1
 
2.7%
455129.703361347 1
 
2.7%
457220.058233981 1
 
2.7%
458236.234506263 1
 
2.7%
454846.243806105 1
 
2.7%
456467.985518055 1
 
2.7%
Other values (17) 17
45.9%
(Missing) 4
 
10.8%
ValueCountFrequency (%)
453806.882406932 1
2.7%
454620.355721841 1
2.7%
454777.82536746 1
2.7%
454846.243806105 1
2.7%
455069.448360472 1
2.7%
455129.703361347 1
2.7%
455278.568446081 2
5.4%
455324.346591988 1
2.7%
455408.434327848 1
2.7%
455531.013241955 1
2.7%
ValueCountFrequency (%)
459028.508907601 2
5.4%
458236.234506263 1
 
2.7%
457952.353058325 4
10.8%
457608.289925664 1
 
2.7%
457225.218523112 1
 
2.7%
457220.058233981 1
 
2.7%
456933.471863348 1
 
2.7%
456716.703095364 1
 
2.7%
456583.709636542 1
 
2.7%
456467.985518055 1
 
2.7%

의료기관종별명
Categorical

Distinct5
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
21 
병원
5 
한방병원
4 
요양병원(일반요양병원)
4 
치과병원
3 

Length

Max length12
Median length4
Mean length4.5945946
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
56.8%
병원 5
 
13.5%
한방병원 4
 
10.8%
요양병원(일반요양병원) 4
 
10.8%
치과병원 3
 
8.1%

Length

2024-05-11T05:57:17.189334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:17.434627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
56.8%
병원 5
 
13.5%
한방병원 4
 
10.8%
요양병원(일반요양병원 4
 
10.8%
치과병원 3
 
8.1%

의료인수
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)75.0%
Missing21
Missing (%)56.8%
Infinite0
Infinite (%)0.0%
Mean16.75
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-11T05:57:17.753001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q12.75
median12.5
Q329.25
95-th percentile41.5
Maximum43
Range42
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.433729
Coefficient of variation (CV)0.92141667
Kurtosis-1.4351702
Mean16.75
Median Absolute Deviation (MAD)10.5
Skewness0.45660638
Sum268
Variance238.2
MonotonicityNot monotonic
2024-05-11T05:57:18.087562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 3
 
8.1%
33 2
 
5.4%
3 2
 
5.4%
21 1
 
2.7%
1 1
 
2.7%
28 1
 
2.7%
27 1
 
2.7%
4 1
 
2.7%
17 1
 
2.7%
41 1
 
2.7%
Other values (2) 2
 
5.4%
(Missing) 21
56.8%
ValueCountFrequency (%)
1 1
 
2.7%
2 3
8.1%
3 2
5.4%
4 1
 
2.7%
8 1
 
2.7%
17 1
 
2.7%
21 1
 
2.7%
27 1
 
2.7%
28 1
 
2.7%
33 2
5.4%
ValueCountFrequency (%)
43 1
2.7%
41 1
2.7%
33 2
5.4%
28 1
2.7%
27 1
2.7%
21 1
2.7%
17 1
2.7%
8 1
2.7%
4 1
2.7%
3 2
5.4%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)62.5%
Missing21
Missing (%)56.8%
Infinite0
Infinite (%)0.0%
Mean14.125
Minimum0
Maximum34
Zeros3
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-11T05:57:18.415709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median14
Q321.75
95-th percentile28
Maximum34
Range34
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation10.275375
Coefficient of variation (CV)0.72746018
Kurtosis-0.82038703
Mean14.125
Median Absolute Deviation (MAD)6.5
Skewness0.18048924
Sum226
Variance105.58333
MonotonicityNot monotonic
2024-05-11T05:57:19.022074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
8 4
 
10.8%
0 3
 
8.1%
24 2
 
5.4%
19 1
 
2.7%
17 1
 
2.7%
18 1
 
2.7%
26 1
 
2.7%
11 1
 
2.7%
34 1
 
2.7%
21 1
 
2.7%
(Missing) 21
56.8%
ValueCountFrequency (%)
0 3
8.1%
8 4
10.8%
11 1
 
2.7%
17 1
 
2.7%
18 1
 
2.7%
19 1
 
2.7%
21 1
 
2.7%
24 2
5.4%
26 1
 
2.7%
34 1
 
2.7%
ValueCountFrequency (%)
34 1
 
2.7%
26 1
 
2.7%
24 2
5.4%
21 1
 
2.7%
19 1
 
2.7%
18 1
 
2.7%
17 1
 
2.7%
11 1
 
2.7%
8 4
10.8%
0 3
8.1%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)68.8%
Missing21
Missing (%)56.8%
Infinite0
Infinite (%)0.0%
Mean65.125
Minimum0
Maximum177
Zeros3
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-11T05:57:19.393043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q136
median51
Q385
95-th percentile155.25
Maximum177
Range177
Interquartile range (IQR)49

Descriptive statistics

Standard deviation53.221393
Coefficient of variation (CV)0.81721909
Kurtosis-0.14622566
Mean65.125
Median Absolute Deviation (MAD)30
Skewness0.72063631
Sum1042
Variance2832.5167
MonotonicityNot monotonic
2024-05-11T05:57:19.851988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
36 4
 
10.8%
0 3
 
8.1%
79 1
 
2.7%
80 1
 
2.7%
55 1
 
2.7%
82 1
 
2.7%
148 1
 
2.7%
136 1
 
2.7%
47 1
 
2.7%
177 1
 
2.7%
(Missing) 21
56.8%
ValueCountFrequency (%)
0 3
8.1%
36 4
10.8%
47 1
 
2.7%
55 1
 
2.7%
79 1
 
2.7%
80 1
 
2.7%
82 1
 
2.7%
94 1
 
2.7%
136 1
 
2.7%
148 1
 
2.7%
ValueCountFrequency (%)
177 1
 
2.7%
148 1
 
2.7%
136 1
 
2.7%
94 1
 
2.7%
82 1
 
2.7%
80 1
 
2.7%
79 1
 
2.7%
55 1
 
2.7%
47 1
 
2.7%
36 4
10.8%

총면적
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)93.8%
Missing21
Missing (%)56.8%
Infinite0
Infinite (%)0.0%
Mean1740.2881
Minimum178.07
Maximum6583.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-11T05:57:20.422302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum178.07
5-th percentile249.2975
Q1720.455
median1463.97
Q32122.205
95-th percentile4067.1875
Maximum6583.64
Range6405.57
Interquartile range (IQR)1401.75

Descriptive statistics

Standard deviation1572.2207
Coefficient of variation (CV)0.90342554
Kurtosis5.6316793
Mean1740.2881
Median Absolute Deviation (MAD)721.135
Skewness2.0787713
Sum27844.61
Variance2471878.1
MonotonicityNot monotonic
2024-05-11T05:57:21.008972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
749.64 2
 
5.4%
1562.94 1
 
2.7%
6583.64 1
 
2.7%
178.07 1
 
2.7%
1365.0 1
 
2.7%
273.04 1
 
2.7%
1085.31 1
 
2.7%
1696.38 1
 
2.7%
550.77 1
 
2.7%
2083.0 1
 
2.7%
Other values (5) 5
 
13.5%
(Missing) 21
56.8%
ValueCountFrequency (%)
178.07 1
2.7%
273.04 1
2.7%
550.77 1
2.7%
632.9 1
2.7%
749.64 2
5.4%
1085.31 1
2.7%
1365.0 1
2.7%
1562.94 1
2.7%
1696.38 1
2.7%
2083.0 1
2.7%
ValueCountFrequency (%)
6583.64 1
2.7%
3228.37 1
2.7%
2815.03 1
2.7%
2191.91 1
2.7%
2098.97 1
2.7%
2083.0 1
2.7%
1696.38 1
2.7%
1562.94 1
2.7%
1365.0 1
2.7%
1085.31 1
2.7%

진료과목내용
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing21
Missing (%)56.8%
Memory size428.0 B
2024-05-11T05:57:21.720694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length43
Mean length31
Min length7

Characters and Unicode

Total characters496
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

Unique16 ?
Unique (%)100.0%

Sample

1st row408 119 118 116 111 110 109 105 104 101
2nd row120 101
3rd row201 202 203 204 205 206 207 208 209 210
4th row201 202 203 204 205 206 208
5th row411 410 409 408 407 406 405 404 403
ValueCountFrequency (%)
101 9
 
7.0%
105 7
 
5.5%
120 6
 
4.7%
301 6
 
4.7%
104 6
 
4.7%
308 6
 
4.7%
306 5
 
3.9%
304 4
 
3.1%
115 4
 
3.1%
302 4
 
3.1%
Other values (34) 71
55.5%
2024-05-11T05:57:22.875114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
22.6%
1 110
22.2%
0 102
20.6%
3 46
9.3%
2 39
 
7.9%
4 27
 
5.4%
5 18
 
3.6%
6 16
 
3.2%
8 12
 
2.4%
9 7
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 384
77.4%
Space Separator 112
 
22.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 110
28.6%
0 102
26.6%
3 46
12.0%
2 39
 
10.2%
4 27
 
7.0%
5 18
 
4.7%
6 16
 
4.2%
8 12
 
3.1%
9 7
 
1.8%
7 7
 
1.8%
Space Separator
ValueCountFrequency (%)
112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 496
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
112
22.6%
1 110
22.2%
0 102
20.6%
3 46
9.3%
2 39
 
7.9%
4 27
 
5.4%
5 18
 
3.6%
6 16
 
3.2%
8 12
 
2.4%
9 7
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 496
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
22.6%
1 110
22.2%
0 102
20.6%
3 46
9.3%
2 39
 
7.9%
4 27
 
5.4%
5 18
 
3.6%
6 16
 
3.2%
8 12
 
2.4%
9 7
 
1.4%

진료과목내용명
Text

MISSING 

Distinct13
Distinct (%)81.2%
Missing21
Missing (%)56.8%
Memory size428.0 B
2024-05-11T05:57:23.403244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length63.5
Mean length51.875
Min length8

Characters and Unicode

Total characters830
Distinct characters58
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

Unique12 ?
Unique (%)75.0%

Sample

1st row내과, 외과, 정형외과, 마취통증의학과, 산부인과, 소아청소년과, 영상의학과, 병리과, 진단검사의학과, 구강내과
2nd row내과, 재활의학과
3rd row구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 구강악안면방사선과, 구강병리과, 예방치과
4th row구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강악안면방사선과
5th row치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 영상치의학과, 구강병리과, 예방치과
ValueCountFrequency (%)
내과 9
 
7.0%
정형외과 7
 
5.5%
한방내과 6
 
4.7%
침구과 6
 
4.7%
외과 6
 
4.7%
재활의학과 6
 
4.7%
한방재활의학과 5
 
3.9%
사상체질과 4
 
3.1%
한방신경정신과 4
 
3.1%
한방안?이비인후?피부과 4
 
3.1%
Other values (26) 71
55.5%
2024-05-11T05:57:24.802588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 137
16.5%
, 112
 
13.5%
112
 
13.5%
방 31
 
3.7%
의 29
 
3.5%
학 29
 
3.5%
한 27
 
3.3%
외 20
 
2.4%
치 18
 
2.2%
내 18
 
2.2%
Other values (48) 297
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 598
72.0%
Other Punctuation 120
 
14.5%
Space Separator 112
 
13.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 137
22.9%
방 31
 
5.2%
의 29
 
4.8%
학 29
 
4.8%
한 27
 
4.5%
외 20
 
3.3%
치 18
 
3.0%
내 18
 
3.0%
정 18
 
3.0%
구 15
 
2.5%
Other values (45) 256
42.8%
Other Punctuation
ValueCountFrequency (%)
, 112
93.3%
? 8
 
6.7%
Space Separator
ValueCountFrequency (%)
112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 598
72.0%
Common 232
 
28.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 137
22.9%
방 31
 
5.2%
의 29
 
4.8%
학 29
 
4.8%
한 27
 
4.5%
외 20
 
3.3%
치 18
 
3.0%
내 18
 
3.0%
정 18
 
3.0%
구 15
 
2.5%
Other values (45) 256
42.8%
Common
ValueCountFrequency (%)
, 112
48.3%
112
48.3%
? 8
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 598
72.0%
ASCII 232
 
28.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 137
22.9%
방 31
 
5.2%
의 29
 
4.8%
학 29
 
4.8%
한 27
 
4.5%
외 20
 
3.3%
치 18
 
3.0%
내 18
 
3.0%
정 18
 
3.0%
구 15
 
2.5%
Other values (45) 256
42.8%
ASCII
ValueCountFrequency (%)
, 112
48.3%
112
48.3%
? 8
 
3.4%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

구급차특수
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
21 
0
16 

Length

Max length4
Median length4
Mean length2.7027027
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
56.8%
0 16
43.2%

Length

2024-05-11T05:57:25.445445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:25.914082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
56.8%
0 16
43.2%

구급차일반
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
21 
0
16 

Length

Max length4
Median length4
Mean length2.7027027
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
56.8%
0 16
43.2%

Length

2024-05-11T05:57:26.601011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:27.018889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
56.8%
0 16
43.2%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

허가병상수
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
21 
0
16 

Length

Max length4
Median length4
Mean length2.7027027
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
56.8%
0 16
43.2%

Length

2024-05-11T05:57:27.480555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:27.842931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
56.8%
0 16
43.2%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03110000PHMA1201931100320211000011961-05-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1811-7755<NA><NA>서울특별시 은평구 진관동 55번지서울특별시 은평구 통일로 1021 (진관동)3312가톨릭대학교 은평성모병원2020-05-25 17:50:00D2022-12-06 23:04:00.0종합병원192525.587514459028.508908<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13110000PHMA2196631100320212000011966-05-05<NA>1영업/정상13영업중<NA><NA><NA><NA>300-811418236.9<NA>서울특별시 은평구 응암2동 232번지 3호서울특별시 은평구 백련산로 90 (응암동)3476서울특별시은평병원2024-05-03 02:43:16U2023-12-05 00:05:00.0정신병원193192.019829454620.355722<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23110000PHMA2198031100320212000011980-01-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-350-33005894.91<NA><NA>서울특별시 은평구 통일로 873 (갈현동)3330의료법인 청구성심병원2024-01-12 15:54:55U2023-11-30 23:04:00.0종합병원192828.601826457608.289926<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33110000PHMA21983311003202120000119830311<NA>3폐업3폐업20170630<NA><NA><NA>02-351-2300<NA>122906서울특별시 은평구 응암동 42번지 5호서울특별시 은평구 백련산로14길 20-11 (응암동)3474재)마리아수녀회 도티기념병원2017-06-26 18:05:55I2018-08-31 23:59:59.0병원193647.968956455069.44836병원2119791562.94408 119 118 116 111 110 109 105 104 101내과, 외과, 정형외과, 마취통증의학과, 산부인과, 소아청소년과, 영상의학과, 병리과, 진단검사의학과, 구강내과<NA><NA><NA>00<NA><NA>0<NA>
43110000PHMA2199731100320212000011997-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-309-09093684.98<NA><NA>서울특별시 은평구 응암로 164 (응암동)3478인정병원2024-04-17 17:06:53U2023-12-03 23:09:00.0병원192542.250838453806.882407<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53110000PHMA21998311003202120000119980421<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6020-3000<NA><NA>서울특별시 은평구 구산동 191번지 1호서울특별시 은평구 갈현로11길 30 (구산동)3428서울재활병원2021-08-31 17:40:57U2021-09-02 02:40:00.0병원191702.07702455932.109031병원3317806583.64120 101내과, 재활의학과<NA><NA><NA>00<NA><NA>0<NA>
63110000PHMA22001311003202120000120011227<NA>3폐업3폐업20130903<NA><NA><NA>833-9425<NA>122813서울특별시 은평구 갈현동 469번지 4호 5층서울특별시 은평구 서오릉로 166 (갈현동, 5층)122813성가치과병원2013-09-03 16:56:46I2018-08-31 23:59:59.0치과병원192443.706707456716.703095치과병원100178.07201 202 203 204 205 206 207 208 209 210구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 구강악안면방사선과, 구강병리과, 예방치과<NA><NA><NA>00<NA><NA>0<NA>
73110000PHMA22001311003202120000220010316<NA>3폐업3폐업20050916<NA><NA><NA><NA><NA>122827서울특별시 은평구 녹번동 39번지 2호 지층,4층서울특별시 은평구 통일로 620 (녹번동,지층,4층)<NA>한양치과병원2009-05-18 15:28:59I2018-08-31 23:59:59.0치과병원194251.363563455531.013242치과병원2001365.0201 202 203 204 205 206 208구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강악안면방사선과<NA><NA><NA>00<NA><NA>0<NA>
83110000PHMA22002311003202120000120020425<NA>3폐업3폐업20170620<NA><NA><NA>02-382-0882<NA>122900서울특별시 은평구 역촌동 62번지 1호서울특별시 은평구 연서로 73 (역촌동)3417참조은치과병원2017-06-20 17:22:13I2018-08-31 23:59:59.0치과병원192429.140309455926.64938치과병원300273.04411 410 409 408 407 406 405 404 403치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 영상치의학과, 구강병리과, 예방치과<NA><NA><NA>00<NA><NA>0<NA>
93110000PHMA22002311003202120000220020625<NA>1영업/정상13영업중<NA><NA><NA><NA>357-0515<NA><NA>서울특별시 은평구 대조동 15번지 123호서울특별시 은평구 진흥로 191 (대조동)3397서울병원2019-01-07 16:59:51U2019-01-09 02:40:00.0병원193814.576027456279.905535병원2818551085.31105 101 109 116내과, 정형외과, 마취통증의학과, 영상의학과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
273110000PHMA2201631100320212000012016-01-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-388-1075384.2<NA>서울특별시 은평구 신사동 8번지 5호 2층 201,202호서울특별시 은평구 갈현로 24, 2층 201,202호 (신사동)342321C메트로한방병원2023-10-20 10:27:30U2022-10-30 22:02:00.0한방병원192023.767867455324.346592<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
283110000PHMA2201631100320212000022016-01-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1660-00751559.25<NA><NA>서울특별시 은평구 통일로 726, 불광메디컬타워 1~12층 (불광동)3368의료법인 성누가의료재단 성누가병원2024-04-18 17:28:19U2023-12-03 22:00:00.0병원193778.708753456467.985518<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293110000PHMA22016311003202120000320160127<NA>3폐업3폐업20160729<NA><NA><NA>02-383-0075<NA><NA>서울특별시 은평구 불광동 483번지 11호 2,3층서울특별시 은평구 통일로 906, 2,3층 (불광동, 해피플러스1)3341수사랑한방병원2022-11-30 20:11:39U2021-11-02 00:03:00.0한방병원192891.252318457952.353058<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
303110000PHMA22016311003202120000420160913<NA>3폐업3폐업20181210<NA><NA><NA>02-382-0075<NA><NA>서울특별시 은평구 불광동 483번지 11호서울특별시 은평구 통일로 906, 2,3층 (불광동, 해피플러스1)3341수사랑한방병원2018-12-10 14:21:20U2018-12-12 02:40:00.0한방병원192891.252318457952.353058한방병원2836632.9308 307 306 305 304 303 302 301한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
313110000PHMA2201731100320212000012017-09-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-382-77001799.32<NA><NA>서울특별시 은평구 연서로 10, 지하2~지상9층 (역촌동)3409리드힐병원2023-12-20 18:41:02U2022-11-01 22:03:00.0병원192551.989782455278.568446<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
323110000PHMA2201831100320212000012018-07-26<NA>3폐업3폐업2023-09-11<NA><NA><NA>1800-75701073.5<NA>서울특별시 은평구 응암동 119번지 33호 정원빌딩서울특별시 은평구 응암로 267, 정원빌딩 (응암동)3455시온한방병원2023-10-05 18:17:30U2022-10-31 00:07:00.0한방병원192747.91589454846.243806<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
333110000PHMA2201931100320211000011961-05-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1811-7755176891.01<NA><NA>서울특별시 은평구 통일로 1021 (진관동)3312가톨릭대학교 은평성모병원2023-12-08 14:46:45U2022-11-01 23:00:00.0종합병원192525.587514459028.508908<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
343110000PHMA2201931100320212000012019-09-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-384-23116281.19<NA><NA>서울특별시 은평구 통일로 935 (갈현동)3328은평요양병원2023-09-13 13:31:54U2022-12-08 23:05:00.0요양병원(일반요양병원)192825.839432458236.234506<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
353110000PHMA22020311003202120000120200203<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6352-0700<NA><NA>서울특별시 은평구 불광동 221번지 57호서울특별시 은평구 불광로13길 15 (불광동)3353이우요양병원2020-08-03 11:26:55U2020-08-05 02:40:00.0요양병원(일반요양병원)193937.98243457220.058234요양병원(일반요양병원)821943228.37301 101내과, 한방내과<NA><NA><NA>00<NA><NA>0<NA>
363110000PHMA2202131100320212000012021-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6951-27272113.88<NA><NA>서울특별시 은평구 통일로 636, 은평 미드스퀘어 4,5층 (녹번동)3372은평포레스트한방병원2023-12-11 12:30:47U2022-11-01 23:03:00.0한방병원194220.32479455685.624981<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>