Overview

Dataset statistics

Number of variables41
Number of observations32
Missing cells448
Missing cells (%)34.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.2 KiB
Average record size in memory358.1 B

Variable types

Categorical14
Text7
DateTime3
Unsupported8
Numeric9

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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-16175/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (79.9%)Imbalance
휴업종료일자 is highly imbalanced (79.9%)Imbalance
소재지우편번호 is highly imbalanced (60.1%)Imbalance
인허가취소일자 has 32 (100.0%) missing valuesMissing
폐업일자 has 22 (68.8%) missing valuesMissing
재개업일자 has 32 (100.0%) missing valuesMissing
전화번호 has 4 (12.5%) missing valuesMissing
소재지면적 has 11 (34.4%) missing valuesMissing
지번주소 has 12 (37.5%) missing valuesMissing
도로명주소 has 1 (3.1%) missing valuesMissing
도로명우편번호 has 2 (6.2%) missing valuesMissing
좌표정보(X) has 1 (3.1%) missing valuesMissing
좌표정보(Y) has 1 (3.1%) missing valuesMissing
의료인수 has 23 (71.9%) missing valuesMissing
입원실수 has 23 (71.9%) missing valuesMissing
병상수 has 23 (71.9%) missing valuesMissing
총면적 has 23 (71.9%) missing valuesMissing
진료과목내용 has 23 (71.9%) missing valuesMissing
진료과목내용명 has 23 (71.9%) missing valuesMissing
지정취소일자 has 32 (100.0%) missing valuesMissing
완화의료지정형태 has 32 (100.0%) missing valuesMissing
완화의료담당부서명 has 32 (100.0%) missing valuesMissing
총인원 has 32 (100.0%) missing valuesMissing
구조사수 has 32 (100.0%) missing valuesMissing
최초지정일자 has 32 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 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 1 (3.1%) zerosZeros
병상수 has 1 (3.1%) zerosZeros

Reproduction

Analysis started2024-05-11 06:20:53.961229
Analysis finished2024-05-11 06:20:55.156738
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
3160000
32 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 32
100.0%

Length

2024-05-11T15:20:55.261850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:55.470875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 32
100.0%

관리번호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T15:20:55.774570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters800
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

Unique32 ?
Unique (%)100.0%

Sample

1st rowPHMA219763160034021200005
2nd rowPHMA219833160034021200001
3rd rowPHMA220003160034021200003
4th rowPHMA220043160034021200007
5th rowPHMA220073160034021200001
ValueCountFrequency (%)
phma219763160034021200005 1
 
3.1%
phma219833160034021200001 1
 
3.1%
phma220213160034021200002 1
 
3.1%
phma220213160034021200001 1
 
3.1%
phma220193160034021200003 1
 
3.1%
phma220193160034021200002 1
 
3.1%
phma220193160034021200001 1
 
3.1%
phma220183160034021200002 1
 
3.1%
phma220183160034021200001 1
 
3.1%
phma220163160034021200002 1
 
3.1%
Other values (22) 22
68.8%
2024-05-11T15:20:56.340649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 265
33.1%
2 140
17.5%
1 103
 
12.9%
3 72
 
9.0%
4 39
 
4.9%
6 35
 
4.4%
P 32
 
4.0%
H 32
 
4.0%
M 32
 
4.0%
A 32
 
4.0%
Other values (4) 18
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 672
84.0%
Uppercase Letter 128
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 265
39.4%
2 140
20.8%
1 103
 
15.3%
3 72
 
10.7%
4 39
 
5.8%
6 35
 
5.2%
7 6
 
0.9%
9 5
 
0.7%
8 4
 
0.6%
5 3
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 32
25.0%
H 32
25.0%
M 32
25.0%
A 32
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 672
84.0%
Latin 128
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 265
39.4%
2 140
20.8%
1 103
 
15.3%
3 72
 
10.7%
4 39
 
5.8%
6 35
 
5.2%
7 6
 
0.9%
9 5
 
0.7%
8 4
 
0.6%
5 3
 
0.4%
Latin
ValueCountFrequency (%)
P 32
25.0%
H 32
25.0%
M 32
25.0%
A 32
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 265
33.1%
2 140
17.5%
1 103
 
12.9%
3 72
 
9.0%
4 39
 
4.9%
6 35
 
4.4%
P 32
 
4.0%
H 32
 
4.0%
M 32
 
4.0%
A 32
 
4.0%
Other values (4) 18
 
2.2%

인허가일자
Date

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum1976-09-03 00:00:00
Maximum2022-11-02 00:00:00
2024-05-11T15:20:56.612655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:20:56.874556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
1
22 
3
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 22
68.8%
3 10
31.2%

Length

2024-05-11T15:20:57.119664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:57.310252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 22
68.8%
3 10
31.2%

영업상태명
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
영업/정상
22 
폐업
10 

Length

Max length5
Median length5
Mean length4.0625
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 22
68.8%
폐업 10
31.2%

Length

2024-05-11T15:20:57.515893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:57.715614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 22
68.8%
폐업 10
31.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
13
22 
3
10 

Length

Max length2
Median length2
Mean length1.6875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 22
68.8%
3 10
31.2%

Length

2024-05-11T15:20:57.922008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:58.120468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 22
68.8%
3 10
31.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
영업중
22 
폐업
10 

Length

Max length3
Median length3
Mean length2.6875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 22
68.8%
폐업 10
31.2%

Length

2024-05-11T15:20:58.313080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:58.510117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 22
68.8%
폐업 10
31.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing22
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean20173726
Minimum20111109
Maximum20220703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:20:58.706517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20111109
5-th percentile20124528
Q120153421
median20175265
Q320198566
95-th percentile20216204
Maximum20220703
Range109594
Interquartile range (IQR)45144.5

Descriptive statistics

Standard deviation34558.196
Coefficient of variation (CV)0.00171303
Kurtosis-0.61787036
Mean20173726
Median Absolute Deviation (MAD)25044
Skewness-0.37979718
Sum2.0173726 × 108
Variance1.1942689 × 109
MonotonicityNot monotonic
2024-05-11T15:20:58.923147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20201211 1
 
3.1%
20111109 1
 
3.1%
20210705 1
 
3.1%
20160315 1
 
3.1%
20190115 1
 
3.1%
20140930 1
 
3.1%
20151123 1
 
3.1%
20160415 1
 
3.1%
20190629 1
 
3.1%
20220703 1
 
3.1%
(Missing) 22
68.8%
ValueCountFrequency (%)
20111109 1
3.1%
20140930 1
3.1%
20151123 1
3.1%
20160315 1
3.1%
20160415 1
3.1%
20190115 1
3.1%
20190629 1
3.1%
20201211 1
3.1%
20210705 1
3.1%
20220703 1
3.1%
ValueCountFrequency (%)
20220703 1
3.1%
20210705 1
3.1%
20201211 1
3.1%
20190629 1
3.1%
20190115 1
3.1%
20160415 1
3.1%
20160315 1
3.1%
20151123 1
3.1%
20140930 1
3.1%
20111109 1
3.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
20151012
 
1

Length

Max length8
Median length4
Mean length4.125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
20151012 1
 
3.1%

Length

2024-05-11T15:20:59.203723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:59.408961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
20151012 1
 
3.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
31 
20160312
 
1

Length

Max length8
Median length4
Mean length4.125
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
96.9%
20160312 1
 
3.1%

Length

2024-05-11T15:20:59.626839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:20:59.838464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
96.9%
20160312 1
 
3.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

전화번호
Text

MISSING 

Distinct27
Distinct (%)96.4%
Missing4
Missing (%)12.5%
Memory size388.0 B
2024-05-11T15:21:00.166919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.464286
Min length9

Characters and Unicode

Total characters321
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)92.9%

Sample

1st row02-2613-8001
2nd row02-2626-1114
3rd row02-2067-1500
4th row02-864-2875
5th row02-863-9900
ValueCountFrequency (%)
02 3
 
8.8%
02-2613-7000 2
 
5.9%
02-2626-1114 1
 
2.9%
02-2613-8001 1
 
2.9%
02-858-0100 1
 
2.9%
02-863-8999 1
 
2.9%
02-6741-1075 1
 
2.9%
02-2616-7755 1
 
2.9%
02-333-1119 1
 
2.9%
02-837-7111 1
 
2.9%
Other values (21) 21
61.8%
2024-05-11T15:21:00.852342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 53
16.5%
2 53
16.5%
- 48
15.0%
1 36
11.2%
6 35
10.9%
8 24
7.5%
7 19
 
5.9%
5 18
 
5.6%
3 17
 
5.3%
4 6
 
1.9%
Other values (2) 12
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 267
83.2%
Dash Punctuation 48
 
15.0%
Space Separator 6
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
19.9%
2 53
19.9%
1 36
13.5%
6 35
13.1%
8 24
9.0%
7 19
 
7.1%
5 18
 
6.7%
3 17
 
6.4%
4 6
 
2.2%
9 6
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 321
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 53
16.5%
2 53
16.5%
- 48
15.0%
1 36
11.2%
6 35
10.9%
8 24
7.5%
7 19
 
5.9%
5 18
 
5.6%
3 17
 
5.3%
4 6
 
1.9%
Other values (2) 12
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 321
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 53
16.5%
2 53
16.5%
- 48
15.0%
1 36
11.2%
6 35
10.9%
8 24
7.5%
7 19
 
5.9%
5 18
 
5.6%
3 17
 
5.3%
4 6
 
1.9%
Other values (2) 12
 
3.7%

소재지면적
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing11
Missing (%)34.4%
Infinite0
Infinite (%)0.0%
Mean10205.672
Minimum1260.45
Maximum119879.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:21:01.089841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1260.45
5-th percentile1529.95
Q12295
median4356
Q37086.23
95-th percentile12030.39
Maximum119879.53
Range118619.08
Interquartile range (IQR)4791.23

Descriptive statistics

Standard deviation25319.856
Coefficient of variation (CV)2.4809592
Kurtosis20.275473
Mean10205.672
Median Absolute Deviation (MAD)2064.4
Skewness4.471168
Sum214319.11
Variance6.4109511 × 108
MonotonicityNot monotonic
2024-05-11T15:21:01.335441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
119879.53 1
 
3.1%
3458.0 1
 
3.1%
7086.23 1
 
3.1%
4371.9 1
 
3.1%
1684.36 1
 
3.1%
4356.0 1
 
3.1%
8447.46 1
 
3.1%
9349.84 1
 
3.1%
4798.13 1
 
3.1%
2295.0 1
 
3.1%
Other values (11) 11
34.4%
(Missing) 11
34.4%
ValueCountFrequency (%)
1260.45 1
3.1%
1529.95 1
3.1%
1684.36 1
3.1%
1972.06 1
3.1%
2291.6 1
3.1%
2295.0 1
3.1%
2410.07 1
3.1%
2595.54 1
3.1%
3458.0 1
3.1%
3773.02 1
3.1%
ValueCountFrequency (%)
119879.53 1
3.1%
12030.39 1
3.1%
10567.63 1
3.1%
9349.84 1
3.1%
8447.46 1
3.1%
7086.23 1
3.1%
5171.76 1
3.1%
4990.19 1
3.1%
4798.13 1
3.1%
4371.9 1
3.1%

소재지우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
152805
 
2
152883
 
1
152838
 
1
152894
 
1

Length

Max length6
Median length4
Mean length4.3125
Min length4

Unique

Unique3 ?
Unique (%)9.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
152805 2
 
6.2%
152883 1
 
3.1%
152838 1
 
3.1%
152894 1
 
3.1%

Length

2024-05-11T15:21:01.546761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:01.716098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
152805 2
 
6.2%
152883 1
 
3.1%
152838 1
 
3.1%
152894 1
 
3.1%

지번주소
Text

MISSING 

Distinct18
Distinct (%)90.0%
Missing12
Missing (%)37.5%
Memory size388.0 B
2024-05-11T15:21:01.996840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length29.5
Mean length26.25
Min length19

Characters and Unicode

Total characters525
Distinct characters70
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

Unique17 ?
Unique (%)85.0%

Sample

1st row서울특별시 구로구 개봉동 353-2 구로다나병원빌딩
2nd row서울특별시 구로구 고척동 76번지 189호 구로성심병원
3rd row서울특별시 구로구 궁동 198-8호
4th row서울특별시 구로구 가리봉동 137번지 8호 정성요양병원
5th row서울특별시 구로구 개봉동 403번지 29호
ValueCountFrequency (%)
서울특별시 20
18.0%
구로구 20
18.0%
개봉동 7
 
6.3%
5호 5
 
4.5%
구로동 4
 
3.6%
44번지 4
 
3.6%
고척동 3
 
2.7%
144번지 3
 
2.7%
오류동 3
 
2.7%
586번지 2
 
1.8%
Other values (38) 40
36.0%
2024-05-11T15:21:02.496757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
17.3%
구 47
 
9.0%
로 27
 
5.1%
시 21
 
4.0%
서 20
 
3.8%
울 20
 
3.8%
4 20
 
3.8%
동 20
 
3.8%
별 20
 
3.8%
특 20
 
3.8%
Other values (60) 219
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 338
64.4%
Space Separator 91
 
17.3%
Decimal Number 87
 
16.6%
Other Punctuation 6
 
1.1%
Dash Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 47
13.9%
로 27
 
8.0%
시 21
 
6.2%
서 20
 
5.9%
울 20
 
5.9%
동 20
 
5.9%
별 20
 
5.9%
특 20
 
5.9%
지 17
 
5.0%
호 17
 
5.0%
Other values (47) 109
32.2%
Decimal Number
ValueCountFrequency (%)
4 20
23.0%
1 15
17.2%
5 12
13.8%
3 12
13.8%
8 6
 
6.9%
7 5
 
5.7%
2 5
 
5.7%
6 5
 
5.7%
0 4
 
4.6%
9 3
 
3.4%
Space Separator
ValueCountFrequency (%)
91
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 338
64.4%
Common 187
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 47
13.9%
로 27
 
8.0%
시 21
 
6.2%
서 20
 
5.9%
울 20
 
5.9%
동 20
 
5.9%
별 20
 
5.9%
특 20
 
5.9%
지 17
 
5.0%
호 17
 
5.0%
Other values (47) 109
32.2%
Common
ValueCountFrequency (%)
91
48.7%
4 20
 
10.7%
1 15
 
8.0%
5 12
 
6.4%
3 12
 
6.4%
8 6
 
3.2%
, 6
 
3.2%
7 5
 
2.7%
2 5
 
2.7%
6 5
 
2.7%
Other values (3) 10
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 338
64.4%
ASCII 187
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
48.7%
4 20
 
10.7%
1 15
 
8.0%
5 12
 
6.4%
3 12
 
6.4%
8 6
 
3.2%
, 6
 
3.2%
7 5
 
2.7%
2 5
 
2.7%
6 5
 
2.7%
Other values (3) 10
 
5.3%
Hangul
ValueCountFrequency (%)
구 47
13.9%
로 27
 
8.0%
시 21
 
6.2%
서 20
 
5.9%
울 20
 
5.9%
동 20
 
5.9%
별 20
 
5.9%
특 20
 
5.9%
지 17
 
5.0%
호 17
 
5.0%
Other values (47) 109
32.2%

도로명주소
Text

MISSING 

Distinct30
Distinct (%)96.8%
Missing1
Missing (%)3.1%
Memory size388.0 B
2024-05-11T15:21:02.911793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length44
Mean length36.935484
Min length23

Characters and Unicode

Total characters1145
Distinct characters116
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

Unique29 ?
Unique (%)93.5%

Sample

1st row서울특별시 구로구 개봉로 126, 구로다나병원빌딩 (개봉동)
2nd row서울특별시 구로구 구로동로 148, 고려대부속구로병원 (구로동)
3rd row서울특별시 구로구 경인로 427, 구로성심병원 (고척동)
4th row서울특별시 구로구 새말로 110 (구로동)
5th row서울특별시 구로구 남부순환로 1291 (가리봉동, 영진오피스)
ValueCountFrequency (%)
서울특별시 31
 
14.6%
구로구 31
 
14.6%
경인로 10
 
4.7%
구로동 10
 
4.7%
개봉동 7
 
3.3%
고척동 7
 
3.3%
새말로 6
 
2.8%
남부순환로 4
 
1.9%
오류동 4
 
1.9%
306 3
 
1.4%
Other values (83) 99
46.7%
2024-05-11T15:21:03.426249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
182
 
15.9%
로 81
 
7.1%
구 78
 
6.8%
, 53
 
4.6%
동 42
 
3.7%
1 38
 
3.3%
서 34
 
3.0%
시 33
 
2.9%
( 32
 
2.8%
) 32
 
2.8%
Other values (106) 540
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 638
55.7%
Space Separator 182
 
15.9%
Decimal Number 178
 
15.5%
Other Punctuation 58
 
5.1%
Open Punctuation 32
 
2.8%
Close Punctuation 32
 
2.8%
Uppercase Letter 15
 
1.3%
Math Symbol 6
 
0.5%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 81
 
12.7%
구 78
 
12.2%
동 42
 
6.6%
서 34
 
5.3%
시 33
 
5.2%
울 31
 
4.9%
별 31
 
4.9%
특 31
 
4.9%
층 16
 
2.5%
봉 12
 
1.9%
Other values (77) 249
39.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
26.7%
E 2
13.3%
O 1
 
6.7%
M 1
 
6.7%
D 1
 
6.7%
I 1
 
6.7%
F 1
 
6.7%
L 1
 
6.7%
W 1
 
6.7%
R 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 38
21.3%
2 26
14.6%
6 19
10.7%
0 18
10.1%
3 16
9.0%
7 15
 
8.4%
4 14
 
7.9%
5 13
 
7.3%
9 12
 
6.7%
8 7
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 53
91.4%
. 3
 
5.2%
/ 2
 
3.4%
Space Separator
ValueCountFrequency (%)
182
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 638
55.7%
Common 492
43.0%
Latin 15
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 81
 
12.7%
구 78
 
12.2%
동 42
 
6.6%
서 34
 
5.3%
시 33
 
5.2%
울 31
 
4.9%
별 31
 
4.9%
특 31
 
4.9%
층 16
 
2.5%
봉 12
 
1.9%
Other values (77) 249
39.0%
Common
ValueCountFrequency (%)
182
37.0%
, 53
 
10.8%
1 38
 
7.7%
( 32
 
6.5%
) 32
 
6.5%
2 26
 
5.3%
6 19
 
3.9%
0 18
 
3.7%
3 16
 
3.3%
7 15
 
3.0%
Other values (8) 61
 
12.4%
Latin
ValueCountFrequency (%)
B 4
26.7%
E 2
13.3%
O 1
 
6.7%
M 1
 
6.7%
D 1
 
6.7%
I 1
 
6.7%
F 1
 
6.7%
L 1
 
6.7%
W 1
 
6.7%
R 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 638
55.7%
ASCII 507
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
182
35.9%
, 53
 
10.5%
1 38
 
7.5%
( 32
 
6.3%
) 32
 
6.3%
2 26
 
5.1%
6 19
 
3.7%
0 18
 
3.6%
3 16
 
3.2%
7 15
 
3.0%
Other values (19) 76
15.0%
Hangul
ValueCountFrequency (%)
로 81
 
12.7%
구 78
 
12.2%
동 42
 
6.6%
서 34
 
5.3%
시 33
 
5.2%
울 31
 
4.9%
별 31
 
4.9%
특 31
 
4.9%
층 16
 
2.5%
봉 12
 
1.9%
Other values (77) 249
39.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)66.7%
Missing2
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean17921.633
Minimum8218
Maximum152805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:21:03.600354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8218
5-th percentile8220.25
Q18241
median8289
Q38330
95-th percentile87820.5
Maximum152805
Range144587
Interquartile range (IQR)89

Descriptive statistics

Standard deviation36665.405
Coefficient of variation (CV)2.0458741
Kurtosis12.206566
Mean17921.633
Median Absolute Deviation (MAD)49.5
Skewness3.6599848
Sum537649
Variance1.3443519 × 109
MonotonicityNot monotonic
2024-05-11T15:21:03.767162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
8271 3
 
9.4%
8227 3
 
9.4%
8395 3
 
9.4%
152805 2
 
6.2%
8218 2
 
6.2%
8291 2
 
6.2%
8289 2
 
6.2%
8250 1
 
3.1%
8392 1
 
3.1%
8309 1
 
3.1%
Other values (10) 10
31.2%
(Missing) 2
 
6.2%
ValueCountFrequency (%)
8218 2
6.2%
8223 1
 
3.1%
8227 3
9.4%
8228 1
 
3.1%
8238 1
 
3.1%
8250 1
 
3.1%
8271 3
9.4%
8274 1
 
3.1%
8277 1
 
3.1%
8289 2
6.2%
ValueCountFrequency (%)
152805 2
6.2%
8395 3
9.4%
8392 1
 
3.1%
8342 1
 
3.1%
8337 1
 
3.1%
8309 1
 
3.1%
8308 1
 
3.1%
8296 1
 
3.1%
8291 2
6.2%
8290 1
 
3.1%

사업장명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T15:21:04.081335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length11.4375
Min length4

Characters and Unicode

Total characters366
Distinct characters100
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 (%)100.0%

Sample

1st row의료법인다나의료재단구로다나병원
2nd row고려대학교의과대학부속구로병원
3rd row구로성심병원
4th row마루치과병원
5th row남부효요양병원
ValueCountFrequency (%)
의료법인 8
 
15.4%
의료재단 2
 
3.8%
승리요양병원 2
 
3.8%
일명의료재단 2
 
3.8%
의료법인다나의료재단구로다나병원 1
 
1.9%
목동현대요양병원 1
 
1.9%
의료법인일명의료재단 1
 
1.9%
승리한방병원 1
 
1.9%
서울효천의료재단 1
 
1.9%
에이치플러스자립병원 1
 
1.9%
Other values (32) 32
61.5%
2024-05-11T15:21:04.630901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
병 32
 
8.7%
원 32
 
8.7%
의 21
 
5.7%
20
 
5.5%
료 20
 
5.5%
요 13
 
3.6%
양 13
 
3.6%
인 13
 
3.6%
단 11
 
3.0%
법 11
 
3.0%
Other values (90) 180
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 341
93.2%
Space Separator 20
 
5.5%
Uppercase Letter 3
 
0.8%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
병 32
 
9.4%
원 32
 
9.4%
의 21
 
6.2%
료 20
 
5.9%
요 13
 
3.8%
양 13
 
3.8%
인 13
 
3.8%
단 11
 
3.2%
법 11
 
3.2%
재 11
 
3.2%
Other values (84) 164
48.1%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
P 1
33.3%
V 1
33.3%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 341
93.2%
Common 22
 
6.0%
Latin 3
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
병 32
 
9.4%
원 32
 
9.4%
의 21
 
6.2%
료 20
 
5.9%
요 13
 
3.8%
양 13
 
3.8%
인 13
 
3.8%
단 11
 
3.2%
법 11
 
3.2%
재 11
 
3.2%
Other values (84) 164
48.1%
Common
ValueCountFrequency (%)
20
90.9%
) 1
 
4.5%
( 1
 
4.5%
Latin
ValueCountFrequency (%)
I 1
33.3%
P 1
33.3%
V 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 341
93.2%
ASCII 25
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
병 32
 
9.4%
원 32
 
9.4%
의 21
 
6.2%
료 20
 
5.9%
요 13
 
3.8%
양 13
 
3.8%
인 13
 
3.8%
단 11
 
3.2%
법 11
 
3.2%
재 11
 
3.2%
Other values (84) 164
48.1%
ASCII
ValueCountFrequency (%)
20
80.0%
I 1
 
4.0%
) 1
 
4.0%
P 1
 
4.0%
V 1
 
4.0%
( 1
 
4.0%

최종수정일자
Date

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2011-12-06 15:55:48
Maximum2024-05-03 10:38:10
2024-05-11T15:21:04.836856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:21:05.003679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
U
27 
I
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 27
84.4%
I 5
 
15.6%

Length

2024-05-11T15:21:05.190478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:05.393687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 27
84.4%
i 5
 
15.6%

데이터갱신일자
Date

Distinct13
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T15:21:05.571964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:21:05.813609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Categorical

Distinct7
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
요양병원(일반요양병원)
13 
병원
10 
한방병원
3 
종합병원
2 
치과병원
2 
Other values (2)
2 

Length

Max length12
Median length10
Mean length6.8125
Min length2

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row정신병원
2nd row종합병원
3rd row종합병원
4th row치과병원
5th row요양병원(일반요양병원)

Common Values

ValueCountFrequency (%)
요양병원(일반요양병원) 13
40.6%
병원 10
31.2%
한방병원 3
 
9.4%
종합병원 2
 
6.2%
치과병원 2
 
6.2%
정신병원 1
 
3.1%
요양병원(노인병원) 1
 
3.1%

Length

2024-05-11T15:21:06.034183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:06.203226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요양병원(일반요양병원 13
40.6%
병원 10
31.2%
한방병원 3
 
9.4%
종합병원 2
 
6.2%
치과병원 2
 
6.2%
정신병원 1
 
3.1%
요양병원(노인병원 1
 
3.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)77.4%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean188367.92
Minimum185818.01
Maximum191118.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:21:06.393539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185818.01
5-th percentile185875.88
Q1187064.19
median187826.7
Q3190078.41
95-th percentile190588.91
Maximum191118.29
Range5300.2835
Interquartile range (IQR)3014.2159

Descriptive statistics

Standard deviation1711.457
Coefficient of variation (CV)0.009085714
Kurtosis-1.4352139
Mean188367.92
Median Absolute Deviation (MAD)1712.1817
Skewness0.057183373
Sum5839405.5
Variance2929085.2
MonotonicityNot monotonic
2024-05-11T15:21:06.594301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
187064.192158501 3
 
9.4%
185875.875759586 2
 
6.2%
189538.879839832 2
 
6.2%
187826.698183821 2
 
6.2%
190588.908625988 2
 
6.2%
190344.191572332 2
 
6.2%
186968.262921097 1
 
3.1%
187798.86926511 1
 
3.1%
186237.293350949 1
 
3.1%
189911.987102804 1
 
3.1%
Other values (14) 14
43.8%
ValueCountFrequency (%)
185818.005782408 1
 
3.1%
185875.875759586 2
6.2%
185884.744012457 1
 
3.1%
186237.293350949 1
 
3.1%
186968.262921097 1
 
3.1%
187064.192158501 3
9.4%
187161.195063372 1
 
3.1%
187263.423644693 1
 
3.1%
187589.446384647 1
 
3.1%
187606.693801873 1
 
3.1%
ValueCountFrequency (%)
191118.289291823 1
3.1%
190588.908625988 2
6.2%
190540.82626688 1
3.1%
190383.322395563 1
3.1%
190344.191572332 2
6.2%
190244.829015482 1
3.1%
189911.987102804 1
3.1%
189737.563067918 1
3.1%
189614.168824038 1
3.1%
189538.879839832 2
6.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)77.4%
Missing1
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean443825.66
Minimum441868.71
Maximum444911.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:21:06.766878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441868.71
5-th percentile441873.5
Q1443488.38
median443925.52
Q3444449.41
95-th percentile444860.73
Maximum444911.93
Range3043.2178
Interquartile range (IQR)961.02415

Descriptive statistics

Standard deviation874.56557
Coefficient of variation (CV)0.001970516
Kurtosis0.62966346
Mean443825.66
Median Absolute Deviation (MAD)523.88035
Skewness-1.0839791
Sum13758595
Variance764864.93
MonotonicityNot monotonic
2024-05-11T15:21:06.957184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
443874.017248936 3
 
9.4%
443592.138806549 2
 
6.2%
444449.405034497 2
 
6.2%
443925.52468616 2
 
6.2%
441873.504088439 2
 
6.2%
444414.17086261 2
 
6.2%
443991.411315809 1
 
3.1%
444629.704821749 1
 
3.1%
443794.006000016 1
 
3.1%
444573.762665497 1
 
3.1%
Other values (14) 14
43.8%
ValueCountFrequency (%)
441868.707510887 1
3.1%
441873.504088439 2
6.2%
442223.132052108 1
3.1%
443237.927427791 1
3.1%
443289.375602701 1
3.1%
443329.459368413 1
3.1%
443384.622958501 1
3.1%
443592.138806549 2
6.2%
443794.006000016 1
3.1%
443866.789760211 1
3.1%
ValueCountFrequency (%)
444911.925277155 1
3.1%
444896.37675407 1
3.1%
444825.082812753 1
3.1%
444811.238193821 1
3.1%
444629.704821749 1
3.1%
444573.762665497 1
3.1%
444536.915882661 1
3.1%
444449.405034497 2
6.2%
444414.17086261 2
6.2%
444166.198422671 1
3.1%

의료기관종별명
Categorical

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
23 
요양병원(일반요양병원)
6 
병원
 
1
한방병원
 
1
치과병원
 
1

Length

Max length12
Median length4
Mean length5.4375
Min length2

Unique

Unique3 ?
Unique (%)9.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row요양병원(일반요양병원)

Common Values

ValueCountFrequency (%)
<NA> 23
71.9%
요양병원(일반요양병원) 6
 
18.8%
병원 1
 
3.1%
한방병원 1
 
3.1%
치과병원 1
 
3.1%

Length

2024-05-11T15:21:07.223723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:07.401652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
71.9%
요양병원(일반요양병원 6
 
18.8%
병원 1
 
3.1%
한방병원 1
 
3.1%
치과병원 1
 
3.1%

의료인수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)66.7%
Missing23
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean16.222222
Minimum2
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:21:07.587570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median6
Q318
95-th percentile56.2
Maximum71
Range69
Interquartile range (IQR)16

Descriptive statistics

Standard deviation23.080174
Coefficient of variation (CV)1.4227505
Kurtosis4.1732509
Mean16.222222
Median Absolute Deviation (MAD)4
Skewness2.0628808
Sum146
Variance532.69444
MonotonicityNot monotonic
2024-05-11T15:21:07.775424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 3
 
9.4%
6 2
 
6.2%
71 1
 
3.1%
18 1
 
3.1%
34 1
 
3.1%
5 1
 
3.1%
(Missing) 23
71.9%
ValueCountFrequency (%)
2 3
9.4%
5 1
 
3.1%
6 2
6.2%
18 1
 
3.1%
34 1
 
3.1%
71 1
 
3.1%
ValueCountFrequency (%)
71 1
 
3.1%
34 1
 
3.1%
18 1
 
3.1%
6 2
6.2%
5 1
 
3.1%
2 3
9.4%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)77.8%
Missing23
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean21
Minimum0
Maximum52
Zeros1
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:21:08.358305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.2
Q114
median15
Q322
95-th percentile48.4
Maximum52
Range52
Interquartile range (IQR)8

Descriptive statistics

Standard deviation16.232683
Coefficient of variation (CV)0.77298491
Kurtosis0.6854071
Mean21
Median Absolute Deviation (MAD)2
Skewness1.1150361
Sum189
Variance263.5
MonotonicityNot monotonic
2024-05-11T15:21:08.561295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
15 3
 
9.4%
52 1
 
3.1%
13 1
 
3.1%
22 1
 
3.1%
43 1
 
3.1%
14 1
 
3.1%
0 1
 
3.1%
(Missing) 23
71.9%
ValueCountFrequency (%)
0 1
 
3.1%
13 1
 
3.1%
14 1
 
3.1%
15 3
9.4%
22 1
 
3.1%
43 1
 
3.1%
52 1
 
3.1%
ValueCountFrequency (%)
52 1
 
3.1%
43 1
 
3.1%
22 1
 
3.1%
15 3
9.4%
14 1
 
3.1%
13 1
 
3.1%
0 1
 
3.1%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)77.8%
Missing23
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean98.777778
Minimum0
Maximum299
Zeros1
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:21:08.736150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.2
Q138
median69
Q395
95-th percentile268.6
Maximum299
Range299
Interquartile range (IQR)57

Descriptive statistics

Standard deviation98.333333
Coefficient of variation (CV)0.99550056
Kurtosis1.1071828
Mean98.777778
Median Absolute Deviation (MAD)31
Skewness1.3993432
Sum889
Variance9669.4444
MonotonicityNot monotonic
2024-05-11T15:21:08.949589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
38 3
 
9.4%
299 1
 
3.1%
69 1
 
3.1%
89 1
 
3.1%
223 1
 
3.1%
95 1
 
3.1%
0 1
 
3.1%
(Missing) 23
71.9%
ValueCountFrequency (%)
0 1
 
3.1%
38 3
9.4%
69 1
 
3.1%
89 1
 
3.1%
95 1
 
3.1%
223 1
 
3.1%
299 1
 
3.1%
ValueCountFrequency (%)
299 1
 
3.1%
223 1
 
3.1%
95 1
 
3.1%
89 1
 
3.1%
69 1
 
3.1%
38 3
9.4%
0 1
 
3.1%

총면적
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing23
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean1751.63
Minimum609.84
Maximum4346.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T15:21:09.101287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum609.84
5-th percentile636.104
Q1676
median1377.48
Q31684.36
95-th percentile4324.288
Maximum4346.8
Range3736.96
Interquartile range (IQR)1008.36

Descriptive statistics

Standard deviation1508.5157
Coefficient of variation (CV)0.86120684
Kurtosis0.22121122
Mean1751.63
Median Absolute Deviation (MAD)701.48
Skewness1.3359346
Sum15764.67
Variance2275619.7
MonotonicityNot monotonic
2024-05-11T15:21:09.273696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4290.52 1
 
3.1%
1427.67 1
 
3.1%
1377.48 1
 
3.1%
4346.8 1
 
3.1%
1684.36 1
 
3.1%
676.5 1
 
3.1%
676.0 1
 
3.1%
675.5 1
 
3.1%
609.84 1
 
3.1%
(Missing) 23
71.9%
ValueCountFrequency (%)
609.84 1
3.1%
675.5 1
3.1%
676.0 1
3.1%
676.5 1
3.1%
1377.48 1
3.1%
1427.67 1
3.1%
1684.36 1
3.1%
4290.52 1
3.1%
4346.8 1
3.1%
ValueCountFrequency (%)
4346.8 1
3.1%
4290.52 1
3.1%
1684.36 1
3.1%
1427.67 1
3.1%
1377.48 1
3.1%
676.5 1
3.1%
676.0 1
3.1%
675.5 1
3.1%
609.84 1
3.1%

진료과목내용
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing23
Missing (%)71.9%
Memory size388.0 B
2024-05-11T15:21:09.574635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length27.444444
Min length15

Characters and Unicode

Total characters247
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

Unique9 ?
Unique (%)100.0%

Sample

1st row308 301 122 120 105 104 101
2nd row101 104 105 106 120 122
3rd row301 120 114 106 105 104 101
4th row101 104 105 106 115 120 301 303 304 306
5th row109 101 105 120 122
ValueCountFrequency (%)
120 7
 
10.9%
101 7
 
10.9%
105 6
 
9.4%
104 6
 
9.4%
122 5
 
7.8%
301 4
 
6.2%
106 3
 
4.7%
308 2
 
3.1%
304 2
 
3.1%
306 2
 
3.1%
Other values (17) 20
31.2%
2024-05-11T15:21:10.127455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 60
24.3%
55
22.3%
0 53
21.5%
3 19
 
7.7%
2 19
 
7.7%
4 19
 
7.7%
5 10
 
4.0%
6 6
 
2.4%
8 3
 
1.2%
7 2
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 192
77.7%
Space Separator 55
 
22.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 60
31.2%
0 53
27.6%
3 19
 
9.9%
2 19
 
9.9%
4 19
 
9.9%
5 10
 
5.2%
6 6
 
3.1%
8 3
 
1.6%
7 2
 
1.0%
9 1
 
0.5%
Space Separator
ValueCountFrequency (%)
55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 247
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 60
24.3%
55
22.3%
0 53
21.5%
3 19
 
7.7%
2 19
 
7.7%
4 19
 
7.7%
5 10
 
4.0%
6 6
 
2.4%
8 3
 
1.2%
7 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 247
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 60
24.3%
55
22.3%
0 53
21.5%
3 19
 
7.7%
2 19
 
7.7%
4 19
 
7.7%
5 10
 
4.0%
6 6
 
2.4%
8 3
 
1.2%
7 2
 
0.8%

진료과목내용명
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing23
Missing (%)71.9%
Memory size388.0 B
2024-05-11T15:21:10.509917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length37
Mean length43.111111
Min length20

Characters and Unicode

Total characters388
Distinct characters48
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

Unique9 ?
Unique (%)100.0%

Sample

1st row내과, 외과, 정형외과, 재활의학과, 가정의학과, 한방내과, 침구과
2nd row내과, 외과, 정형외과, 신경외과, 재활의학과, 가정의학과
3rd row내과, 외과, 정형외과, 신경외과, 피부과, 재활의학과, 한방내과
4th row내과, 외과, 정형외과, 신경외과, 비뇨의학과, 재활의학과, 한방내과, 한방소아과, 한방안?이비인후?피부과, 한방재활의학과
5th row내과, 정형외과, 마취통증의학과, 재활의학과, 가정의학과
ValueCountFrequency (%)
내과 7
 
10.9%
재활의학과 7
 
10.9%
정형외과 6
 
9.4%
외과 6
 
9.4%
가정의학과 5
 
7.8%
한방내과 4
 
6.2%
신경외과 3
 
4.7%
한방소아과 2
 
3.1%
한방재활의학과 2
 
3.1%
한방안?이비인후?피부과 2
 
3.1%
Other values (17) 20
31.2%
2024-05-11T15:21:11.188753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 67
17.3%
, 55
14.2%
55
14.2%
의 17
 
4.4%
학 17
 
4.4%
외 16
 
4.1%
정 13
 
3.4%
방 13
 
3.4%
내 12
 
3.1%
한 12
 
3.1%
Other values (38) 111
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 274
70.6%
Other Punctuation 59
 
15.2%
Space Separator 55
 
14.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 67
24.5%
의 17
 
6.2%
학 17
 
6.2%
외 16
 
5.8%
정 13
 
4.7%
방 13
 
4.7%
내 12
 
4.4%
한 12
 
4.4%
활 9
 
3.3%
재 9
 
3.3%
Other values (35) 89
32.5%
Other Punctuation
ValueCountFrequency (%)
, 55
93.2%
? 4
 
6.8%
Space Separator
ValueCountFrequency (%)
55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 274
70.6%
Common 114
29.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 67
24.5%
의 17
 
6.2%
학 17
 
6.2%
외 16
 
5.8%
정 13
 
4.7%
방 13
 
4.7%
내 12
 
4.4%
한 12
 
4.4%
활 9
 
3.3%
재 9
 
3.3%
Other values (35) 89
32.5%
Common
ValueCountFrequency (%)
, 55
48.2%
55
48.2%
? 4
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 274
70.6%
ASCII 114
29.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 67
24.5%
의 17
 
6.2%
학 17
 
6.2%
외 16
 
5.8%
정 13
 
4.7%
방 13
 
4.7%
내 12
 
4.4%
한 12
 
4.4%
활 9
 
3.3%
재 9
 
3.3%
Other values (35) 89
32.5%
ASCII
ValueCountFrequency (%)
, 55
48.2%
55
48.2%
? 4
 
3.5%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

구급차특수
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
23 
0
9 

Length

Max length4
Median length4
Mean length3.15625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
71.9%
0 9
 
28.1%

Length

2024-05-11T15:21:11.454383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:11.666235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
71.9%
0 9
 
28.1%

구급차일반
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
23 
0
9 

Length

Max length4
Median length4
Mean length3.15625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
71.9%
0 9
 
28.1%

Length

2024-05-11T15:21:12.031455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:12.563717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
71.9%
0 9
 
28.1%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

허가병상수
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
23 
0
9 

Length

Max length4
Median length4
Mean length3.15625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
71.9%
0 9
 
28.1%

Length

2024-05-11T15:21:12.964222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:13.203488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
71.9%
0 9
 
28.1%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03160000PHMA2197631600340212000051976-09-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2613-80012291.6<NA>서울특별시 구로구 개봉동 353-2 구로다나병원빌딩서울특별시 구로구 개봉로 126, 구로다나병원빌딩 (개봉동)8277의료법인다나의료재단구로다나병원2024-04-05 05:43:16U2023-12-04 00:07:00.0정신병원187263.423645443866.78976<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13160000PHMA2198331600340212000011983-08-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2626-1114119879.53<NA><NA>서울특별시 구로구 구로동로 148, 고려대부속구로병원 (구로동)8308고려대학교의과대학부속구로병원2024-04-19 13:22:21U2023-12-03 22:01:00.0종합병원189737.563068443329.459368<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23160000PHMA2200031600340212000032000-02-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2067-150010567.63<NA>서울특별시 구로구 고척동 76번지 189호 구로성심병원서울특별시 구로구 경인로 427, 구로성심병원 (고척동)8223구로성심병원2024-04-19 13:21:32U2023-12-03 22:01:00.0종합병원188114.404383444166.198423<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33160000PHMA2200431600340212000072004-10-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-864-2875<NA><NA><NA>서울특별시 구로구 새말로 110 (구로동)8289마루치과병원2023-07-12 09:08:41U2022-12-06 23:04:00.0치과병원190383.322396444896.376754<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43160000PHMA22007316003402120000120070222<NA>3폐업3폐업20201211<NA><NA><NA>02-863-9900<NA><NA><NA>서울특별시 구로구 남부순환로 1291 (가리봉동, 영진오피스)8395남부효요양병원2021-02-13 15:58:07U2021-02-16 02:40:00.0요양병원(일반요양병원)190588.908626441873.504088요양병원(일반요양병원)71522994290.52308 301 122 120 105 104 101내과, 외과, 정형외과, 재활의학과, 가정의학과, 한방내과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
53160000PHMA22007316003402120000320070702<NA>3폐업3폐업20111109<NA><NA><NA>02 2615 2233<NA>152883서울특별시 구로구 궁동 198-8호<NA><NA>세광보난자요양병원2011-12-06 15:55:48I2018-08-31 23:59:59.0요양병원(일반요양병원)<NA><NA>요양병원(일반요양병원)613691427.67101 104 105 106 120 122내과, 외과, 정형외과, 신경외과, 재활의학과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
63160000PHMA2200731600340212000042007-08-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-863-86365171.76<NA>서울특별시 구로구 가리봉동 137번지 8호 정성요양병원서울특별시 구로구 남부순환로 1287, 정성요양병원 2.3.5층 남부순환로 107길 24동 (가리봉동)8395의료법인 어울림의료재단 정성요양병원2024-04-19 13:22:53U2023-12-03 22:01:00.0요양병원(일반요양병원)190540.826267441868.707511<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73160000PHMA22007316003402120000520070910<NA>3폐업3폐업20210705<NA><NA><NA>02 2616 7575<NA><NA>서울특별시 구로구 개봉동 403번지 29호서울특별시 구로구 개봉로19길 3 (개봉동, 강서진료병원)8337강서효요양병원2021-07-05 13:28:19U2021-07-07 02:40:00.0요양병원(일반요양병원)187161.195063443384.622959요양병원(일반요양병원)1822891377.48301 120 114 106 105 104 101내과, 외과, 정형외과, 신경외과, 피부과, 재활의학과, 한방내과<NA><NA><NA>00<NA><NA>0<NA>
83160000PHMA2200831600340212000012008-02-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02 3666 111412030.39<NA>서울특별시 구로구 개봉동 43번지 1호서울특별시 구로구 고척로21나길 88-41 (개봉동, 미소들병원)8250의료법인 미소들노인전문병원2024-04-19 13:19:14U2023-12-03 22:01:00.0요양병원(노인병원)185884.744012444536.915883<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93160000PHMA22010316003402120000120100607<NA>3폐업3폐업20160315<NA><NA><NA><NA><NA>152838서울특별시 구로구 구로5동 44번지 7호서울특별시 구로구 공원로6가길 4 (구로동)<NA>의료법인 고려수 의료재단 고려수요양병원2018-08-24 09:57:31I2018-08-31 23:59:59.0요양병원(일반요양병원)190344.191572444414.170863요양병원(일반요양병원)34432234346.8101 104 105 106 115 120 301 303 304 306내과, 외과, 정형외과, 신경외과, 비뇨의학과, 재활의학과, 한방내과, 한방소아과, 한방안?이비인후?피부과, 한방재활의학과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
223160000PHMA2201631600340212000012016-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1577-25884798.13<NA>서울특별시 구로구 구로동 44번지 7호 고려 수 타워서울특별시 구로구 공원로6가길 4, 고려 수 타워 (구로동)8296의료법인 서울효천의료재단 에이치플러스자립병원2024-04-19 13:21:42U2023-12-03 22:01:00.0병원190344.191572444414.170863<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233160000PHMA22016316003402120000220160825<NA>3폐업3폐업20190629<NA><NA><NA>02-852-0028<NA><NA>서울특별시 구로구 구로동 586번지 5호서울특별시 구로구 새말로 15 (구로동, 삼전솔하임)8291우리모두들치과병원2019-07-01 09:46:39U2019-07-03 02:40:00.0치과병원189538.87984444449.405034치과병원600609.84411 408 407 406 405 404 403 402구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 예방치과<NA><NA><NA>00<NA><NA>0<NA>
243160000PHMA2201831600340212000012018-05-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-837-71119349.84<NA><NA>서울특별시 구로구 새말로 60, 제중요양병원 지하2,동 1~9층 (구로동)8290재단법인 제중의료복지재단 제중요양병원2024-04-19 13:22:32U2023-12-03 22:01:00.0요양병원(일반요양병원)189911.987103444573.762665<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253160000PHMA2201831600340212000022018-09-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-333-11198447.46<NA>서울특별시 구로구 오류동 55번지 30호 더세인트빌딩서울특별시 구로구 경인로 218, 더세인트빌딩 B1.B중,3~15층 (오류동)8271더세인트요양병원2024-03-29 09:32:28U2023-12-02 21:01:00.0요양병원(일반요양병원)186237.293351443794.006<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
263160000PHMA2201931600340212000012019-01-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2616-77554356.0<NA><NA>서울특별시 구로구 중앙로 64, 고척프라자 가동 4,5층/나동3,4층 (고척동)8218오케이요양병원2024-04-19 13:22:11U2023-12-03 22:01:00.0요양병원(일반요양병원)187798.869265444629.704822<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
273160000PHMA22019316003402120000220190130<NA>3폐업3폐업20220703<NA><NA><NA>02-2613-7000<NA><NA>서울특별시 구로구 고척동 73번지 3호 일이삼전자타운서울특별시 구로구 경인로 393-7, 일이삼전자타운 5,6,7층 (고척동)8227리본병원2023-01-03 11:21:41U2022-12-01 00:05:00.0병원187826.698184443925.524686<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
283160000PHMA2201931600340212000032019-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6741-10751684.36<NA>서울특별시 구로구 오류동 44번지 10호 시티월드서울특별시 구로구 경인로 176, 501,502,601호 (오류동, 시티월드)8271일로한방병원2024-04-19 13:21:52U2023-12-03 22:01:00.0한방병원185875.87576443592.138807<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293160000PHMA2202131600340212000012021-06-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-863-89994371.9<NA><NA>서울특별시 구로구 남부순환로 1291, A동1,2,3,4,5,6,7층 B동 5,6,7층 (가리봉동)8395남서울요양병원2024-05-03 10:38:10U2023-12-05 00:05:00.0요양병원(일반요양병원)190588.908626441873.504088<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
303160000PHMA2202131600340212000022021-11-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2611-88837086.23<NA>서울특별시 구로구 개봉동 143-1 오류빌딩 지하1층, 1층,2층,3층,4층,5층,6층서울특별시 구로구 경인로 297, 오류빌딩 (개봉동)8238서울브이아이피(VIP)요양병원2024-04-19 13:22:41U2023-12-03 22:01:00.0요양병원(일반요양병원)186968.262921443991.411316<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
313160000PHMA2202231600340212000012022-11-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2613-70003458.0<NA><NA>서울특별시 구로구 경인로 393-7, 일이삼전자타운 2동 6,7층 (고척동)8227포그니병원2024-03-18 13:44:38U2023-12-02 22:00:00.0병원187826.698184443925.524686<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>