Overview

Dataset statistics

Number of variables41
Number of observations22
Missing cells259
Missing cells (%)28.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory359.0 B

Variable types

Categorical14
Text8
DateTime3
Unsupported8
Numeric8

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),의료기관종별명,의료인수,입원실수,병상수,총면적,진료과목내용,진료과목내용명,지정취소일자,완화의료지정형태,완화의료담당부서명,구급차특수,구급차일반,총인원,구조사수,허가병상수,최초지정일자
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-16162/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (73.3%)Imbalance
휴업종료일자 is highly imbalanced (73.3%)Imbalance
소재지면적 is highly imbalanced (66.5%)Imbalance
인허가취소일자 has 22 (100.0%) missing valuesMissing
폐업일자 has 11 (50.0%) missing valuesMissing
재개업일자 has 22 (100.0%) missing valuesMissing
전화번호 has 2 (9.1%) missing valuesMissing
소재지우편번호 has 15 (68.2%) missing valuesMissing
지번주소 has 2 (9.1%) missing valuesMissing
도로명주소 has 2 (9.1%) missing valuesMissing
도로명우편번호 has 3 (13.6%) missing valuesMissing
좌표정보(X) has 3 (13.6%) missing valuesMissing
좌표정보(Y) has 3 (13.6%) missing valuesMissing
의료인수 has 7 (31.8%) missing valuesMissing
입원실수 has 7 (31.8%) missing valuesMissing
병상수 has 7 (31.8%) missing valuesMissing
총면적 has 7 (31.8%) missing valuesMissing
진료과목내용 has 7 (31.8%) missing valuesMissing
진료과목내용명 has 7 (31.8%) missing valuesMissing
지정취소일자 has 22 (100.0%) missing valuesMissing
완화의료지정형태 has 22 (100.0%) missing valuesMissing
완화의료담당부서명 has 22 (100.0%) missing valuesMissing
총인원 has 22 (100.0%) missing valuesMissing
구조사수 has 22 (100.0%) missing valuesMissing
최초지정일자 has 22 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료지정형태 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료담당부서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구조사수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
입원실수 has 3 (13.6%) zerosZeros
병상수 has 1 (4.5%) zerosZeros

Reproduction

Analysis started2024-04-17 17:39:10.338953
Analysis finished2024-04-17 17:39:10.780223
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
3030000
22 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 22
100.0%

Length

2024-04-18T02:39:10.830199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:39:10.901653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 22
100.0%

관리번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-18T02:39:11.030389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters550
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

Unique22 ?
Unique (%)100.0%

Sample

1st rowPHMA219723030033021200001
2nd rowPHMA219793030033021200002
3rd rowPHMA219853030033021200001
4th rowPHMA220003030033021200001
5th rowPHMA220003030033021200002
ValueCountFrequency (%)
phma219723030033021200001 1
 
4.5%
phma219793030033021200002 1
 
4.5%
phma220193030033021200001 1
 
4.5%
phma220173030033021200003 1
 
4.5%
phma220173030033021200002 1
 
4.5%
phma220173030033021200001 1
 
4.5%
phma220163030033021200001 1
 
4.5%
phma220123030033021200004 1
 
4.5%
phma220123030033021200002 1
 
4.5%
phma220123030033021200001 1
 
4.5%
Other values (12) 12
54.5%
2024-04-18T02:39:11.278779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 207
37.6%
2 97
17.6%
3 89
16.2%
1 50
 
9.1%
P 22
 
4.0%
H 22
 
4.0%
M 22
 
4.0%
A 22
 
4.0%
9 7
 
1.3%
7 5
 
0.9%
Other values (4) 7
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 462
84.0%
Uppercase Letter 88
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 207
44.8%
2 97
21.0%
3 89
19.3%
1 50
 
10.8%
9 7
 
1.5%
7 5
 
1.1%
8 2
 
0.4%
5 2
 
0.4%
6 2
 
0.4%
4 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
P 22
25.0%
H 22
25.0%
M 22
25.0%
A 22
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 462
84.0%
Latin 88
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 207
44.8%
2 97
21.0%
3 89
19.3%
1 50
 
10.8%
9 7
 
1.5%
7 5
 
1.1%
8 2
 
0.4%
5 2
 
0.4%
6 2
 
0.4%
4 1
 
0.2%
Latin
ValueCountFrequency (%)
P 22
25.0%
H 22
25.0%
M 22
25.0%
A 22
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 550
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 207
37.6%
2 97
17.6%
3 89
16.2%
1 50
 
9.1%
P 22
 
4.0%
H 22
 
4.0%
M 22
 
4.0%
A 22
 
4.0%
9 7
 
1.3%
7 5
 
0.9%
Other values (4) 7
 
1.3%

인허가일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum1972-04-24 00:00:00
Maximum2019-12-13 00:00:00
2024-04-18T02:39:11.386094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:39:11.477009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
3
11 
1
10 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
3 11
50.0%
1 10
45.5%
5 1
 
4.5%

Length

2024-04-18T02:39:11.570446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:39:11.643331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 11
50.0%
1 10
45.5%
5 1
 
4.5%

영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
폐업
11 
영업/정상
10 
제외/삭제/전출
 
1

Length

Max length8
Median length6.5
Mean length3.6363636
Min length2

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 11
50.0%
영업/정상 10
45.5%
제외/삭제/전출 1
 
4.5%

Length

2024-04-18T02:39:11.726755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:39:11.805546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 11
50.0%
영업/정상 10
45.5%
제외/삭제/전출 1
 
4.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
3
11 
13
10 
15
 
1

Length

Max length2
Median length1.5
Mean length1.5
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
3 11
50.0%
13 10
45.5%
15 1
 
4.5%

Length

2024-04-18T02:39:11.886168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:39:12.181049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 11
50.0%
13 10
45.5%
15 1
 
4.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
폐업
11 
영업중
10 
전출
 
1

Length

Max length3
Median length2
Mean length2.4545455
Min length2

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 11
50.0%
영업중 10
45.5%
전출 1
 
4.5%

Length

2024-04-18T02:39:12.263079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:39:12.345504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 11
50.0%
영업중 10
45.5%
전출 1
 
4.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing11
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean20138934
Minimum20090212
Maximum20201201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-18T02:39:12.419866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090212
5-th percentile20105372
Q120120714
median20121214
Q320155513
95-th percentile20191151
Maximum20201201
Range110989
Interquartile range (IQR)34799

Descriptive statistics

Standard deviation32035.764
Coefficient of variation (CV)0.0015907378
Kurtosis0.11367131
Mean20138934
Median Absolute Deviation (MAD)19316
Skewness0.67818213
Sum2.2152827 × 108
Variance1.0262901 × 109
MonotonicityNot monotonic
2024-04-18T02:39:12.505981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20150810 1
 
4.5%
20181101 1
 
4.5%
20121026 1
 
4.5%
20090212 1
 
4.5%
20121214 1
 
4.5%
20120816 1
 
4.5%
20120531 1
 
4.5%
20140530 1
 
4.5%
20120612 1
 
4.5%
20160216 1
 
4.5%
(Missing) 11
50.0%
ValueCountFrequency (%)
20090212 1
4.5%
20120531 1
4.5%
20120612 1
4.5%
20120816 1
4.5%
20121026 1
4.5%
20121214 1
4.5%
20140530 1
4.5%
20150810 1
4.5%
20160216 1
4.5%
20181101 1
4.5%
ValueCountFrequency (%)
20201201 1
4.5%
20181101 1
4.5%
20160216 1
4.5%
20150810 1
4.5%
20140530 1
4.5%
20121214 1
4.5%
20121026 1
4.5%
20120816 1
4.5%
20120612 1
4.5%
20120531 1
4.5%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
21 
20120330
 
1

Length

Max length8
Median length4
Mean length4.1818182
Min length4

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row<NA>
2nd row20120330
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
20120330 1
 
4.5%

Length

2024-04-18T02:39:12.618278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:39:12.699815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
20120330 1
 
4.5%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
21 
20150906
 
1

Length

Max length8
Median length4
Mean length4.1818182
Min length4

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row<NA>
2nd row20150906
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
20150906 1
 
4.5%

Length

2024-04-18T02:39:12.785369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:39:12.865742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
20150906 1
 
4.5%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

전화번호
Text

MISSING 

Distinct19
Distinct (%)95.0%
Missing2
Missing (%)9.1%
Memory size308.0 B
2024-04-18T02:39:12.996607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.75
Min length9

Characters and Unicode

Total characters235
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

Unique18 ?
Unique (%)90.0%

Sample

1st row02-2290-8114
2nd row02-2297-7272
3rd row02-2233-3993
4th row02-2281-0010
5th row02-2293-1121
ValueCountFrequency (%)
02-3408-2100 2
 
10.0%
02-2217-2828 1
 
5.0%
02-2293-7582 1
 
5.0%
1522-7586 1
 
5.0%
02-2297-9988 1
 
5.0%
02-3394-9878 1
 
5.0%
02-2281-6636 1
 
5.0%
02-2247-7272 1
 
5.0%
02-3394-6211 1
 
5.0%
02-2290-8114 1
 
5.0%
Other values (9) 9
45.0%
2024-04-18T02:39:13.250891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 58
24.7%
0 40
17.0%
- 39
16.6%
1 18
 
7.7%
9 15
 
6.4%
8 14
 
6.0%
7 14
 
6.0%
3 13
 
5.5%
4 11
 
4.7%
6 9
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 196
83.4%
Dash Punctuation 39
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 58
29.6%
0 40
20.4%
1 18
 
9.2%
9 15
 
7.7%
8 14
 
7.1%
7 14
 
7.1%
3 13
 
6.6%
4 11
 
5.6%
6 9
 
4.6%
5 4
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 235
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 58
24.7%
0 40
17.0%
- 39
16.6%
1 18
 
7.7%
9 15
 
6.4%
8 14
 
6.0%
7 14
 
6.0%
3 13
 
5.5%
4 11
 
4.7%
6 9
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 235
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 58
24.7%
0 40
17.0%
- 39
16.6%
1 18
 
7.7%
9 15
 
6.4%
8 14
 
6.0%
7 14
 
6.0%
3 13
 
5.5%
4 11
 
4.7%
6 9
 
3.8%

소재지면적
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
20 
1732.35
 
1
4331.75
 
1

Length

Max length7
Median length4
Mean length4.2727273
Min length4

Unique

Unique2 ?
Unique (%)9.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
90.9%
1732.35 1
 
4.5%
4331.75 1
 
4.5%

Length

2024-04-18T02:39:13.353947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:39:13.430818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
90.9%
1732.35 1
 
4.5%
4331.75 1
 
4.5%

소재지우편번호
Text

MISSING 

Distinct5
Distinct (%)71.4%
Missing15
Missing (%)68.2%
Memory size308.0 B
2024-04-18T02:39:13.516215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2857143
Min length6

Characters and Unicode

Total characters44
Distinct characters9
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)57.1%

Sample

1st row133-831
2nd row133850
3rd row133866
4th row133847
5th row133850
ValueCountFrequency (%)
133850 3
42.9%
133-831 1
 
14.3%
133866 1
 
14.3%
133847 1
 
14.3%
133-837 1
 
14.3%
2024-04-18T02:39:13.709768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 16
36.4%
1 8
18.2%
8 7
15.9%
5 3
 
6.8%
0 3
 
6.8%
- 2
 
4.5%
6 2
 
4.5%
7 2
 
4.5%
4 1
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42
95.5%
Dash Punctuation 2
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 16
38.1%
1 8
19.0%
8 7
16.7%
5 3
 
7.1%
0 3
 
7.1%
6 2
 
4.8%
7 2
 
4.8%
4 1
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 16
36.4%
1 8
18.2%
8 7
15.9%
5 3
 
6.8%
0 3
 
6.8%
- 2
 
4.5%
6 2
 
4.5%
7 2
 
4.5%
4 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 16
36.4%
1 8
18.2%
8 7
15.9%
5 3
 
6.8%
0 3
 
6.8%
- 2
 
4.5%
6 2
 
4.5%
7 2
 
4.5%
4 1
 
2.3%

지번주소
Text

MISSING 

Distinct17
Distinct (%)85.0%
Missing2
Missing (%)9.1%
Memory size308.0 B
2024-04-18T02:39:13.867151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length25.1
Min length19

Characters and Unicode

Total characters502
Distinct characters52
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

Unique14 ?
Unique (%)70.0%

Sample

1st row서울특별시 성동구 행당1동 130번지 115호
2nd row서울특별시 성동구 금호동2가 500번지 9호
3rd row서울특별시 성동구 도선동 365번지 1호
4th row서울특별시 성동구 하왕십리동 846번지 10호
5th row서울특별시 성동구 성수2가3동 275번지 2호
ValueCountFrequency (%)
서울특별시 20
19.2%
성동구 20
19.2%
용답동 6
 
5.8%
235번지 4
 
3.8%
8호 4
 
3.8%
성수2가3동 3
 
2.9%
279번지 2
 
1.9%
하왕십리동 2
 
1.9%
1호 2
 
1.9%
행당1동 2
 
1.9%
Other values (31) 39
37.5%
2024-04-18T02:39:14.163747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
 
16.7%
동 40
 
8.0%
성 24
 
4.8%
서 20
 
4.0%
지 20
 
4.0%
특 20
 
4.0%
별 20
 
4.0%
시 20
 
4.0%
구 20
 
4.0%
울 20
 
4.0%
Other values (42) 214
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 299
59.6%
Decimal Number 108
 
21.5%
Space Separator 84
 
16.7%
Other Punctuation 4
 
0.8%
Dash Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 40
13.4%
성 24
 
8.0%
서 20
 
6.7%
지 20
 
6.7%
특 20
 
6.7%
별 20
 
6.7%
시 20
 
6.7%
구 20
 
6.7%
울 20
 
6.7%
호 18
 
6.0%
Other values (26) 77
25.8%
Decimal Number
ValueCountFrequency (%)
2 19
17.6%
1 19
17.6%
3 17
15.7%
5 12
11.1%
8 10
9.3%
4 9
8.3%
0 8
7.4%
7 6
 
5.6%
9 6
 
5.6%
6 2
 
1.9%
Space Separator
ValueCountFrequency (%)
84
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 299
59.6%
Common 203
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 40
13.4%
성 24
 
8.0%
서 20
 
6.7%
지 20
 
6.7%
특 20
 
6.7%
별 20
 
6.7%
시 20
 
6.7%
구 20
 
6.7%
울 20
 
6.7%
호 18
 
6.0%
Other values (26) 77
25.8%
Common
ValueCountFrequency (%)
84
41.4%
2 19
 
9.4%
1 19
 
9.4%
3 17
 
8.4%
5 12
 
5.9%
8 10
 
4.9%
4 9
 
4.4%
0 8
 
3.9%
7 6
 
3.0%
9 6
 
3.0%
Other values (6) 13
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 299
59.6%
ASCII 203
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
84
41.4%
2 19
 
9.4%
1 19
 
9.4%
3 17
 
8.4%
5 12
 
5.9%
8 10
 
4.9%
4 9
 
4.4%
0 8
 
3.9%
7 6
 
3.0%
9 6
 
3.0%
Other values (6) 13
 
6.4%
Hangul
ValueCountFrequency (%)
동 40
13.4%
성 24
 
8.0%
서 20
 
6.7%
지 20
 
6.7%
특 20
 
6.7%
별 20
 
6.7%
시 20
 
6.7%
구 20
 
6.7%
울 20
 
6.7%
호 18
 
6.0%
Other values (26) 77
25.8%

도로명주소
Text

MISSING 

Distinct15
Distinct (%)75.0%
Missing2
Missing (%)9.1%
Memory size308.0 B
2024-04-18T02:39:14.317120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length39
Mean length26.8
Min length23

Characters and Unicode

Total characters536
Distinct characters66
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

Unique10 ?
Unique (%)50.0%

Sample

1st row서울특별시 성동구 왕십리로 222-1 (사근동)
2nd row서울특별시 성동구 왕십리로 269 (행당동)
3rd row서울특별시 성동구 금호산길 41 (금호동2가)
4th row서울특별시 성동구 무학로2길 8 (도선동)
5th row서울특별시 성동구 마장로 207 (홍익동)
ValueCountFrequency (%)
서울특별시 20
18.9%
성동구 20
18.9%
용답동 6
 
5.7%
왕십리로 6
 
5.7%
85 4
 
3.8%
자동차시장1길 4
 
3.8%
동일로 3
 
2.8%
행당동 3
 
2.8%
성수동2가 3
 
2.8%
269 2
 
1.9%
Other values (28) 35
33.0%
2024-04-18T02:39:14.562213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
16.0%
동 47
 
8.8%
시 24
 
4.5%
성 23
 
4.3%
서 20
 
3.7%
특 20
 
3.7%
별 20
 
3.7%
구 20
 
3.7%
울 20
 
3.7%
) 20
 
3.7%
Other values (56) 236
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 326
60.8%
Space Separator 86
 
16.0%
Decimal Number 71
 
13.2%
Close Punctuation 20
 
3.7%
Open Punctuation 20
 
3.7%
Other Punctuation 7
 
1.3%
Math Symbol 3
 
0.6%
Uppercase Letter 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 47
14.4%
시 24
 
7.4%
성 23
 
7.1%
서 20
 
6.1%
특 20
 
6.1%
별 20
 
6.1%
구 20
 
6.1%
울 20
 
6.1%
로 15
 
4.6%
리 8
 
2.5%
Other values (38) 109
33.4%
Decimal Number
ValueCountFrequency (%)
2 18
25.4%
3 14
19.7%
1 10
14.1%
8 7
 
9.9%
5 6
 
8.5%
4 4
 
5.6%
6 4
 
5.6%
9 4
 
5.6%
0 2
 
2.8%
7 2
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 326
60.8%
Common 208
38.8%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 47
14.4%
시 24
 
7.4%
성 23
 
7.1%
서 20
 
6.1%
특 20
 
6.1%
별 20
 
6.1%
구 20
 
6.1%
울 20
 
6.1%
로 15
 
4.6%
리 8
 
2.5%
Other values (38) 109
33.4%
Common
ValueCountFrequency (%)
86
41.3%
) 20
 
9.6%
( 20
 
9.6%
2 18
 
8.7%
3 14
 
6.7%
1 10
 
4.8%
, 7
 
3.4%
8 7
 
3.4%
5 6
 
2.9%
4 4
 
1.9%
Other values (6) 16
 
7.7%
Latin
ValueCountFrequency (%)
J 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 326
60.8%
ASCII 210
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
41.0%
) 20
 
9.5%
( 20
 
9.5%
2 18
 
8.6%
3 14
 
6.7%
1 10
 
4.8%
, 7
 
3.3%
8 7
 
3.3%
5 6
 
2.9%
4 4
 
1.9%
Other values (8) 18
 
8.6%
Hangul
ValueCountFrequency (%)
동 47
14.4%
시 24
 
7.4%
성 23
 
7.1%
서 20
 
6.1%
특 20
 
6.1%
별 20
 
6.1%
구 20
 
6.1%
울 20
 
6.1%
로 15
 
4.6%
리 8
 
2.5%
Other values (38) 109
33.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)89.5%
Missing3
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean38729.105
Minimum4701
Maximum133864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-18T02:39:14.671177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4701
5-th percentile4705.5
Q14734
median4799
Q369320
95-th percentile133851.4
Maximum133864
Range129163
Interquartile range (IQR)64586

Descriptive statistics

Standard deviation58400.865
Coefficient of variation (CV)1.5079322
Kurtosis-0.71848834
Mean38729.105
Median Absolute Deviation (MAD)76
Skewness1.1701919
Sum735853
Variance3.4106611 × 109
MonotonicityNot monotonic
2024-04-18T02:39:14.760892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
4808 3
13.6%
133864 1
 
4.5%
4701 1
 
4.5%
4799 1
 
4.5%
4745 1
 
4.5%
4715 1
 
4.5%
4802 1
 
4.5%
133850 1
 
4.5%
4763 1
 
4.5%
4751 1
 
4.5%
Other values (7) 7
31.8%
(Missing) 3
13.6%
ValueCountFrequency (%)
4701 1
4.5%
4706 1
4.5%
4707 1
4.5%
4715 1
4.5%
4723 1
4.5%
4745 1
4.5%
4751 1
4.5%
4763 1
4.5%
4787 1
4.5%
4799 1
4.5%
ValueCountFrequency (%)
133864 1
 
4.5%
133850 1
 
4.5%
133847 1
 
4.5%
133837 1
 
4.5%
133832 1
 
4.5%
4808 3
13.6%
4802 1
 
4.5%
4799 1
 
4.5%
4787 1
 
4.5%
4763 1
 
4.5%

사업장명
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-18T02:39:14.910084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.9545455
Min length4

Characters and Unicode

Total characters175
Distinct characters68
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row한양대학교병원
2nd row의료법인구봉의료재단 세왕병원
3rd row서울중앙병원
4th row연세슬기병원
5th row동인병원
ValueCountFrequency (%)
시온요양병원 2
 
8.3%
한양대학교병원 1
 
4.2%
서울연세병원 1
 
4.2%
연세바로척병원 1
 
4.2%
9988병원 1
 
4.2%
굿모닝요양병원 1
 
4.2%
서울동인병원 1
 
4.2%
제인병원 1
 
4.2%
학교법인대진교육재단 1
 
4.2%
효하수요양병원 1
 
4.2%
Other values (13) 13
54.2%
2024-04-18T02:39:15.207301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
병 22
 
12.6%
원 22
 
12.6%
인 8
 
4.6%
양 7
 
4.0%
요 6
 
3.4%
울 6
 
3.4%
서 6
 
3.4%
세 4
 
2.3%
재 4
 
2.3%
단 4
 
2.3%
Other values (58) 86
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169
96.6%
Decimal Number 4
 
2.3%
Space Separator 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
병 22
 
13.0%
원 22
 
13.0%
인 8
 
4.7%
양 7
 
4.1%
요 6
 
3.6%
울 6
 
3.6%
서 6
 
3.6%
세 4
 
2.4%
재 4
 
2.4%
단 4
 
2.4%
Other values (55) 80
47.3%
Decimal Number
ValueCountFrequency (%)
9 2
50.0%
8 2
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169
96.6%
Common 6
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
병 22
 
13.0%
원 22
 
13.0%
인 8
 
4.7%
양 7
 
4.1%
요 6
 
3.6%
울 6
 
3.6%
서 6
 
3.6%
세 4
 
2.4%
재 4
 
2.4%
단 4
 
2.4%
Other values (55) 80
47.3%
Common
ValueCountFrequency (%)
9 2
33.3%
8 2
33.3%
2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169
96.6%
ASCII 6
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
병 22
 
13.0%
원 22
 
13.0%
인 8
 
4.7%
양 7
 
4.1%
요 6
 
3.6%
울 6
 
3.6%
서 6
 
3.6%
세 4
 
2.4%
재 4
 
2.4%
단 4
 
2.4%
Other values (55) 80
47.3%
ASCII
ValueCountFrequency (%)
9 2
33.3%
8 2
33.3%
2
33.3%

최종수정일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2012-05-31 15:38:52
Maximum2024-01-12 13:19:30
2024-04-18T02:39:15.297893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:39:15.408170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
U
13 
I
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 13
59.1%
I 9
40.9%

Length

2024-04-18T02:39:15.507560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:39:15.581241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 13
59.1%
i 9
40.9%

데이터갱신일자
Date

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2018-08-31 23:59:59
Maximum2023-11-30 23:04:00
2024-04-18T02:39:15.645885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:39:15.722858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

업태구분명
Categorical

Distinct5
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
병원
12 
요양병원(일반요양병원)
6 
치과병원
2 
종합병원
 
1
한방병원
 
1

Length

Max length12
Median length2
Mean length5.0909091
Min length2

Unique

Unique2 ?
Unique (%)9.1%

Sample

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

Common Values

ValueCountFrequency (%)
병원 12
54.5%
요양병원(일반요양병원) 6
27.3%
치과병원 2
 
9.1%
종합병원 1
 
4.5%
한방병원 1
 
4.5%

Length

2024-04-18T02:39:15.832986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:39:15.921457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 12
54.5%
요양병원(일반요양병원 6
27.3%
치과병원 2
 
9.1%
종합병원 1
 
4.5%
한방병원 1
 
4.5%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)68.4%
Missing3
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean204337.28
Minimum201618.18
Maximum205869.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-18T02:39:16.001932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201618.18
5-th percentile202324.52
Q1202976.86
median204968.47
Q3205763.71
95-th percentile205862.58
Maximum205869.83
Range4251.6543
Interquartile range (IQR)2786.8474

Descriptive statistics

Standard deviation1517.2247
Coefficient of variation (CV)0.0074251
Kurtosis-1.5727176
Mean204337.28
Median Absolute Deviation (MAD)893.31
Skewness-0.40171177
Sum3882408.3
Variance2301970.9
MonotonicityNot monotonic
2024-04-18T02:39:16.079237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
205861.778324251 4
18.2%
203242.775760419 2
9.1%
204968.468327442 2
9.1%
205665.640838329 2
9.1%
201618.177531531 1
 
4.5%
202640.965627674 1
 
4.5%
202827.973126186 1
 
4.5%
205503.603619543 1
 
4.5%
203125.751232112 1
 
4.5%
204811.005190157 1
 
4.5%
Other values (3) 3
13.6%
(Missing) 3
13.6%
ValueCountFrequency (%)
201618.177531531 1
4.5%
202403.0 1
4.5%
202407.087512138 1
4.5%
202640.965627674 1
4.5%
202827.973126186 1
4.5%
203125.751232112 1
4.5%
203242.775760419 2
9.1%
204811.005190157 1
4.5%
204968.468327442 2
9.1%
205503.603619543 1
4.5%
ValueCountFrequency (%)
205869.831879948 1
 
4.5%
205861.778324251 4
18.2%
205665.640838329 2
9.1%
205503.603619543 1
 
4.5%
204968.468327442 2
9.1%
204811.005190157 1
 
4.5%
203242.775760419 2
9.1%
203125.751232112 1
 
4.5%
202827.973126186 1
 
4.5%
202640.965627674 1
 
4.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)68.4%
Missing3
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean450550.22
Minimum448769.01
Maximum451607.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-18T02:39:16.149134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448769.01
5-th percentile449093.56
Q1449832.89
median450912.3
Q3451138.06
95-th percentile451442.55
Maximum451607.69
Range2838.6834
Interquartile range (IQR)1305.1695

Descriptive statistics

Standard deviation875.30953
Coefficient of variation (CV)0.0019427568
Kurtosis-0.56738124
Mean450550.22
Median Absolute Deviation (MAD)446.30457
Skewness-0.83517989
Sum8560454.2
Variance766166.77
MonotonicityNot monotonic
2024-04-18T02:39:16.225403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
450912.302558818 4
18.2%
450703.100046897 2
9.1%
449690.197895816 2
9.1%
449129.621885233 2
9.1%
449975.58719068 1
 
4.5%
451334.93443267 1
 
4.5%
451607.692035272 1
 
4.5%
448769.008639507 1
 
4.5%
450929.958443224 1
 
4.5%
451358.607132575 1
 
4.5%
Other values (3) 3
13.6%
(Missing) 3
13.6%
ValueCountFrequency (%)
448769.008639507 1
 
4.5%
449129.621885233 2
9.1%
449690.197895816 2
9.1%
449975.58719068 1
 
4.5%
450703.100046897 2
9.1%
450912.302558818 4
18.2%
450929.958443224 1
 
4.5%
450941.189726548 1
 
4.5%
451334.93443267 1
 
4.5%
451358.607132575 1
 
4.5%
ValueCountFrequency (%)
451607.692035272 1
 
4.5%
451424.197660097 1
 
4.5%
451418.0 1
 
4.5%
451358.607132575 1
 
4.5%
451334.93443267 1
 
4.5%
450941.189726548 1
 
4.5%
450929.958443224 1
 
4.5%
450912.302558818 4
18.2%
450703.100046897 2
9.1%
449975.58719068 1
 
4.5%

의료기관종별명
Categorical

Distinct5
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
병원
8 
<NA>
7 
요양병원(일반요양병원)
5 
한방병원
1 
치과병원
1 

Length

Max length12
Median length4
Mean length5.0909091
Min length2

Unique

Unique2 ?
Unique (%)9.1%

Sample

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

Common Values

ValueCountFrequency (%)
병원 8
36.4%
<NA> 7
31.8%
요양병원(일반요양병원) 5
22.7%
한방병원 1
 
4.5%
치과병원 1
 
4.5%

Length

2024-04-18T02:39:16.317266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:39:16.399868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 8
36.4%
na 7
31.8%
요양병원(일반요양병원 5
22.7%
한방병원 1
 
4.5%
치과병원 1
 
4.5%

의료인수
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)80.0%
Missing7
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean12.866667
Minimum3
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-18T02:39:16.480750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q17.5
median11
Q316
95-th percentile30.9
Maximum33
Range30
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation8.8225901
Coefficient of variation (CV)0.68569353
Kurtosis1.2750388
Mean12.866667
Median Absolute Deviation (MAD)4
Skewness1.2423754
Sum193
Variance77.838095
MonotonicityNot monotonic
2024-04-18T02:39:16.553677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
17 2
 
9.1%
10 2
 
9.1%
3 2
 
9.1%
13 1
 
4.5%
8 1
 
4.5%
7 1
 
4.5%
4 1
 
4.5%
33 1
 
4.5%
30 1
 
4.5%
12 1
 
4.5%
Other values (2) 2
 
9.1%
(Missing) 7
31.8%
ValueCountFrequency (%)
3 2
9.1%
4 1
4.5%
7 1
4.5%
8 1
4.5%
10 2
9.1%
11 1
4.5%
12 1
4.5%
13 1
4.5%
15 1
4.5%
17 2
9.1%
ValueCountFrequency (%)
33 1
4.5%
30 1
4.5%
17 2
9.1%
15 1
4.5%
13 1
4.5%
12 1
4.5%
11 1
4.5%
10 2
9.1%
8 1
4.5%
7 1
4.5%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)80.0%
Missing7
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean18.866667
Minimum0
Maximum34
Zeros3
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-18T02:39:16.639298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113.5
median22
Q327
95-th percentile33.3
Maximum34
Range34
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation11.488296
Coefficient of variation (CV)0.6089203
Kurtosis-0.66457471
Mean18.866667
Median Absolute Deviation (MAD)6
Skewness-0.64939234
Sum283
Variance131.98095
MonotonicityNot monotonic
2024-04-18T02:39:16.741818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 3
13.6%
27 2
 
9.1%
19 1
 
4.5%
34 1
 
4.5%
24 1
 
4.5%
17 1
 
4.5%
14 1
 
4.5%
13 1
 
4.5%
25 1
 
4.5%
28 1
 
4.5%
Other values (2) 2
 
9.1%
(Missing) 7
31.8%
ValueCountFrequency (%)
0 3
13.6%
13 1
 
4.5%
14 1
 
4.5%
17 1
 
4.5%
19 1
 
4.5%
22 1
 
4.5%
24 1
 
4.5%
25 1
 
4.5%
27 2
9.1%
28 1
 
4.5%
ValueCountFrequency (%)
34 1
4.5%
33 1
4.5%
28 1
4.5%
27 2
9.1%
25 1
4.5%
24 1
4.5%
22 1
4.5%
19 1
4.5%
17 1
4.5%
14 1
4.5%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)93.3%
Missing7
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean100.86667
Minimum0
Maximum195
Zeros1
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-18T02:39:16.852336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile42.7
Q175
median90
Q3133.5
95-th percentile174
Maximum195
Range195
Interquartile range (IQR)58.5

Descriptive statistics

Standard deviation48.992516
Coefficient of variation (CV)0.48571563
Kurtosis0.39428799
Mean100.86667
Median Absolute Deviation (MAD)21
Skewness0.14070832
Sum1513
Variance2400.2667
MonotonicityNot monotonic
2024-04-18T02:39:16.935973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
78 2
 
9.1%
134 1
 
4.5%
61 1
 
4.5%
96 1
 
4.5%
72 1
 
4.5%
89 1
 
4.5%
90 1
 
4.5%
0 1
 
4.5%
93 1
 
4.5%
165 1
 
4.5%
Other values (4) 4
18.2%
(Missing) 7
31.8%
ValueCountFrequency (%)
0 1
4.5%
61 1
4.5%
69 1
4.5%
72 1
4.5%
78 2
9.1%
89 1
4.5%
90 1
4.5%
93 1
4.5%
96 1
4.5%
133 1
4.5%
ValueCountFrequency (%)
195 1
4.5%
165 1
4.5%
160 1
4.5%
134 1
4.5%
133 1
4.5%
96 1
4.5%
93 1
4.5%
90 1
4.5%
89 1
4.5%
78 2
9.1%

총면적
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing7
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean2359.0407
Minimum236
Maximum6899
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-18T02:39:17.016739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236
5-th percentile803.553
Q11674.225
median2125.12
Q32634.69
95-th percentile4666.7
Maximum6899
Range6663
Interquartile range (IQR)960.465

Descriptive statistics

Standard deviation1513.97
Coefficient of variation (CV)0.64177357
Kurtosis5.7370215
Mean2359.0407
Median Absolute Deviation (MAD)468.16
Skewness1.944376
Sum35385.61
Variance2292105
MonotonicityNot monotonic
2024-04-18T02:39:17.097759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2249.52 1
 
4.5%
2586.38 1
 
4.5%
2043.84 1
 
4.5%
3017.92 1
 
4.5%
2398.4 1
 
4.5%
1921.19 1
 
4.5%
1656.96 1
 
4.5%
1046.79 1
 
4.5%
236.0 1
 
4.5%
1120.0 1
 
4.5%
Other values (5) 5
22.7%
(Missing) 7
31.8%
ValueCountFrequency (%)
236.0 1
4.5%
1046.79 1
4.5%
1120.0 1
4.5%
1656.96 1
4.5%
1691.49 1
4.5%
1921.19 1
4.5%
2043.84 1
4.5%
2125.12 1
4.5%
2249.52 1
4.5%
2398.4 1
4.5%
ValueCountFrequency (%)
6899.0 1
4.5%
3710.0 1
4.5%
3017.92 1
4.5%
2683.0 1
4.5%
2586.38 1
4.5%
2398.4 1
4.5%
2249.52 1
4.5%
2125.12 1
4.5%
2043.84 1
4.5%
1921.19 1
4.5%

진료과목내용
Text

MISSING 

Distinct13
Distinct (%)86.7%
Missing7
Missing (%)31.8%
Memory size308.0 B
2024-04-18T02:39:17.219946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length43
Mean length28.333333
Min length3

Characters and Unicode

Total characters425
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

Unique12 ?
Unique (%)80.0%

Sample

1st row101 104 105 111 115 114 119 122 102 106 108
2nd row101 104 105 109 116 120 106 111 122
3rd row120 119 115 114 111 108 106 105 104 101
4th row101
5th row101
ValueCountFrequency (%)
101 13
 
11.8%
106 9
 
8.2%
105 9
 
8.2%
104 7
 
6.4%
116 6
 
5.5%
120 6
 
5.5%
102 5
 
4.5%
114 5
 
4.5%
115 5
 
4.5%
301 5
 
4.5%
Other values (17) 40
36.4%
2024-04-18T02:39:17.455972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 133
31.3%
95
22.4%
0 80
18.8%
3 27
 
6.4%
2 25
 
5.9%
6 18
 
4.2%
5 17
 
4.0%
4 15
 
3.5%
8 6
 
1.4%
7 5
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 330
77.6%
Space Separator 95
 
22.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 133
40.3%
0 80
24.2%
3 27
 
8.2%
2 25
 
7.6%
6 18
 
5.5%
5 17
 
5.2%
4 15
 
4.5%
8 6
 
1.8%
7 5
 
1.5%
9 4
 
1.2%
Space Separator
ValueCountFrequency (%)
95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 425
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 133
31.3%
95
22.4%
0 80
18.8%
3 27
 
6.4%
2 25
 
5.9%
6 18
 
4.2%
5 17
 
4.0%
4 15
 
3.5%
8 6
 
1.4%
7 5
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 425
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 133
31.3%
95
22.4%
0 80
18.8%
3 27
 
6.4%
2 25
 
5.9%
6 18
 
4.2%
5 17
 
4.0%
4 15
 
3.5%
8 6
 
1.4%
7 5
 
1.2%

진료과목내용명
Text

MISSING 

Distinct13
Distinct (%)86.7%
Missing7
Missing (%)31.8%
Memory size308.0 B
2024-04-18T02:39:17.601676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length132
Median length60
Mean length43.733333
Min length2

Characters and Unicode

Total characters656
Distinct characters49
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 (%)80.0%

Sample

1st row내과, 신경과, 외과, 정형외과, 신경외과, 성형외과, 소아청소년과, 피부과, 비뇨의학과, 진단검사의학과, 가정의학과
2nd row내과, 외과, 정형외과, 신경외과, 마취통증의학과, 소아청소년과, 영상의학과, 재활의학과, 가정의학과
3rd row내과, 외과, 정형외과, 신경외과, 성형외과, 소아청소년과, 피부과, 비뇨의학과, 진단검사의학과, 재활의학과
4th row내과
5th row내과
ValueCountFrequency (%)
내과 13
 
11.8%
정형외과 9
 
8.2%
신경외과 9
 
8.2%
외과 7
 
6.4%
영상의학과 6
 
5.5%
재활의학과 6
 
5.5%
피부과 5
 
4.5%
비뇨의학과 5
 
4.5%
가정의학과 5
 
4.5%
신경과 5
 
4.5%
Other values (17) 40
36.4%
2024-04-18T02:39:17.874015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 110
16.8%
, 95
14.5%
95
14.5%
학 30
 
4.6%
의 30
 
4.6%
외 29
 
4.4%
내 18
 
2.7%
신 18
 
2.7%
경 16
 
2.4%
정 16
 
2.4%
Other values (39) 199
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 462
70.4%
Other Punctuation 99
 
15.1%
Space Separator 95
 
14.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 110
23.8%
학 30
 
6.5%
의 30
 
6.5%
외 29
 
6.3%
내 18
 
3.9%
신 18
 
3.9%
경 16
 
3.5%
정 16
 
3.5%
한 16
 
3.5%
방 16
 
3.5%
Other values (36) 163
35.3%
Other Punctuation
ValueCountFrequency (%)
, 95
96.0%
? 4
 
4.0%
Space Separator
ValueCountFrequency (%)
95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 462
70.4%
Common 194
29.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 110
23.8%
학 30
 
6.5%
의 30
 
6.5%
외 29
 
6.3%
내 18
 
3.9%
신 18
 
3.9%
경 16
 
3.5%
정 16
 
3.5%
한 16
 
3.5%
방 16
 
3.5%
Other values (36) 163
35.3%
Common
ValueCountFrequency (%)
, 95
49.0%
95
49.0%
? 4
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 462
70.4%
ASCII 194
29.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 110
23.8%
학 30
 
6.5%
의 30
 
6.5%
외 29
 
6.3%
내 18
 
3.9%
신 18
 
3.9%
경 16
 
3.5%
정 16
 
3.5%
한 16
 
3.5%
방 16
 
3.5%
Other values (36) 163
35.3%
ASCII
ValueCountFrequency (%)
, 95
49.0%
95
49.0%
? 4
 
2.1%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

구급차특수
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
15 
<NA>
7 

Length

Max length4
Median length1
Mean length1.9545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 15
68.2%
<NA> 7
31.8%

Length

2024-04-18T02:39:17.992059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:39:18.072049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
68.2%
na 7
31.8%

구급차일반
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
15 
<NA>
7 

Length

Max length4
Median length1
Mean length1.9545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 15
68.2%
<NA> 7
31.8%

Length

2024-04-18T02:39:18.154699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:39:18.232557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
68.2%
na 7
31.8%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

허가병상수
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
15 
<NA>
7 

Length

Max length4
Median length1
Mean length1.9545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 15
68.2%
<NA> 7
31.8%

Length

2024-04-18T02:39:18.318124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:39:18.415635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
68.2%
na 7
31.8%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03030000PHMA2197230300330212000011972-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2290-8114<NA><NA><NA>서울특별시 성동구 왕십리로 222-1 (사근동)4763한양대학교병원2023-05-10 08:53:26U2022-12-04 23:02:00.0종합병원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13030000PHMA21979303003302120000219790228<NA>3폐업3폐업201508102012033020150906<NA>02-2297-7272<NA><NA>서울특별시 성동구 행당1동 130번지 115호서울특별시 성동구 왕십리로 269 (행당동)133864의료법인구봉의료재단 세왕병원2017-07-03 16:26:25I2018-08-31 23:59:59.0병원203242.77576450703.100047병원1719782249.52101 104 105 111 115 114 119 122 102 106 108내과, 신경과, 외과, 정형외과, 신경외과, 성형외과, 소아청소년과, 피부과, 비뇨의학과, 진단검사의학과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
23030000PHMA21985303003302120000119850422<NA>3폐업3폐업20181101<NA><NA><NA>02-2233-3993<NA><NA>서울특별시 성동구 금호동2가 500번지 9호서울특별시 성동구 금호산길 41 (금호동2가)4723서울중앙병원2019-10-04 14:25:02U2019-10-06 02:40:00.0병원201618.177532449975.587191병원10341342586.38101 104 105 109 116 120 106 111 122내과, 외과, 정형외과, 신경외과, 마취통증의학과, 소아청소년과, 영상의학과, 재활의학과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
33030000PHMA22000303003302120000120001010<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2281-0010<NA><NA>서울특별시 성동구 도선동 365번지 1호서울특별시 성동구 무학로2길 8 (도선동)4707연세슬기병원2019-02-27 14:16:40U2019-03-01 02:40:00.0병원202640.965628451334.934433병원1324612043.84120 119 115 114 111 108 106 105 104 101내과, 외과, 정형외과, 신경외과, 성형외과, 소아청소년과, 피부과, 비뇨의학과, 진단검사의학과, 재활의학과<NA><NA><NA>00<NA><NA>0<NA>
43030000PHMA22000303003302120000220000531<NA>3폐업3폐업20121026<NA><NA><NA>02-2293-1121<NA><NA>서울특별시 성동구 하왕십리동 846번지 10호<NA><NA>동인병원2012-10-26 10:08:20I2018-08-31 23:59:59.0병원<NA><NA>병원1027963017.92101내과<NA><NA><NA>00<NA><NA>0<NA>
53030000PHMA22002303003302120000120020302<NA>3폐업3폐업20090212<NA><NA><NA>02-469-0001<NA><NA>서울특별시 성동구 성수2가3동 275번지 2호<NA><NA>영동병원2014-07-16 14:10:39I2018-08-31 23:59:59.0병원<NA><NA>병원30782398.4101내과<NA><NA><NA>00<NA><NA>0<NA>
63030000PHMA2200530300330212000012005-08-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2282-00011732.35<NA>서울특별시 성동구 홍익동 102번지서울특별시 성동구 마장로 207 (홍익동)4706서울특별시장애인치과병원2023-09-27 08:55:42U2022-12-08 22:09:00.0치과병원202827.973126451607.692035<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73030000PHMA22006303003302120000120060607<NA>3폐업3폐업20121214<NA><NA><NA>02-3408-2100<NA><NA>서울특별시 성동구 송정동 81번지 14호서울특별시 성동구 광나루로 243 (송정동)133837제인한방병원2012-12-14 09:30:46I2018-08-31 23:59:59.0한방병원204968.468327449690.197896한방병원1717721921.19301한방내과<NA><NA><NA>00<NA><NA>0<NA>
83030000PHMA22008303003302120000220080905<NA>3폐업3폐업20120816<NA><NA><NA>02-464-2700<NA><NA>서울특별시 성동구 성수2가3동 279번지 44호서울특별시 성동구 동일로 133 (성수동2가)133832프라임병원2012-08-16 10:28:29I2018-08-31 23:59:59.0병원205665.640838449129.621885병원30891656.96101내과<NA><NA><NA>00<NA><NA>0<NA>
93030000PHMA2200930300330212000012009-06-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-462-0114<NA>133-831서울특별시 성동구 성수2가3동 275번지 2호서울특별시 성동구 동일로 93 (성수동2가)4787서울효사랑요양병원2023-06-30 13:23:18U2022-12-07 00:02:00.0요양병원(일반요양병원)205503.60362448769.00864<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
123030000PHMA22011303003302120000120110128<NA>3폐업3폐업20140530<NA><NA><NA>02-2217-2828<NA>133847서울특별시 성동구 용답동 2번지 3호 장안빌딩 3층서울특별시 성동구 천호대로 320, 3층 (용답동)133847네오메디플러스치과병원2015-06-16 14:33:43I2018-08-31 23:59:59.0치과병원204811.00519451358.607133치과병원700236.0401 101 113내과, 이비인후과, 치과<NA><NA><NA>00<NA><NA>0<NA>
133030000PHMA22012303003302120000120120604<NA>3폐업3폐업20120612<NA><NA><NA><NA><NA>133850서울특별시 성동구 용답동 235번지 8호 (3,4층)서울특별시 성동구 자동차시장1길 85 (용답동)133850효하수요양병원2012-06-12 15:12:44I2018-08-31 23:59:59.0요양병원(일반요양병원)205861.778324450912.302559요양병원(일반요양병원)413931120.0301 302 308 307한방내과, 한방부인과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
143030000PHMA22012303003302120000220120612<NA>3폐업3폐업20160216<NA><NA><NA>02-3394-6211<NA>133850서울특별시 성동구 용답동 235번지 8호 (지하1층, 지상3,4,5층)서울특별시 성동구 자동차시장1길 85, 지하1, 지상3~5층 (용답동)4808시온요양병원2016-02-16 15:36:05I2018-08-31 23:59:59.0요양병원(일반요양병원)205861.778324450912.302559요양병원(일반요양병원)33251652125.12101 104 102 106 120 105 301 305 306 307 308내과, 신경과, 외과, 정형외과, 신경외과, 재활의학과, 한방내과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
153030000PHMA2201230300330212000042012-12-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3408-21004331.75133-837서울특별시 성동구 송정동 81번지 14호서울특별시 성동구 광나루로 243 (송정동)4802학교법인대진교육재단 제인병원2024-01-12 13:19:30U2023-11-30 23:04:00.0병원204968.468327449690.197896<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
163030000PHMA22016303003302120000120160216<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2247-7272<NA><NA>서울특별시 성동구 용답동 235번지 8호서울특별시 성동구 자동차시장1길 85, 지하1,지상3~5층 (용답동, JS빌딩)4808시온요양병원2021-12-13 10:16:00U2021-12-15 02:40:00.0요양병원(일반요양병원)205861.778324450912.302559요양병원(일반요양병원)30271602683.0308 306 304 302 301 120 116 106 105 102 101내과, 신경과, 정형외과, 신경외과, 영상의학과, 재활의학과, 한방내과, 한방부인과, 한방안?이비인후?피부과, 한방재활의학과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
173030000PHMA22017303003302120000120170106<NA>3폐업3폐업20201201<NA><NA><NA>02-2281-6636<NA><NA><NA>서울특별시 성동구 왕십리로 382 (하왕십리동)4715서울동인병원2020-11-30 17:01:12U2020-12-02 02:40:00.0병원202403.0451418.0병원12281336899.0125 122 120 116 115 114 113 107 106 105 104 101내과, 외과, 정형외과, 신경외과, 흉부외과, 이비인후과, 피부과, 비뇨의학과, 영상의학과, 재활의학과, 가정의학과, 응급의학과<NA><NA><NA>00<NA><NA>0<NA>
183030000PHMA22017303003302120000220170804<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3394-9878<NA><NA>서울특별시 성동구 용답동 235-3 2~7층서울특별시 성동구 천호대로 436, 2~7층 (용답동)4808굿모닝요양병원2021-04-30 14:54:28U2021-05-02 02:40:00.0요양병원(일반요양병원)205869.83188450941.189727요양병원(일반요양병원)11331953710.0308 307 306 305 304 303 302 301 122 116 115 114 113 110 107 106 105 104 102 101내과, 신경과, 외과, 정형외과, 신경외과, 흉부외과, 산부인과, 이비인후과, 피부과, 비뇨의학과, 영상의학과, 가정의학과, 한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
193030000PHMA22017303003302120000320171123<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2297-9988<NA><NA>서울특별시 성동구 행당동 130번지 115호 9988병원빌딩서울특별시 성동구 왕십리로 269 (행당동)47459988병원2022-12-28 09:34:58U2021-11-01 21:00:00.0병원203242.77576450703.100047<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203030000PHMA22019303003302120000120191213<NA>1영업/정상13영업중<NA><NA><NA><NA>1522-7586<NA><NA>서울특별시 성동구 성수동2가 279번지 44호서울특별시 성동구 동일로 133 (성수동2가)4799연세바로척병원2020-07-29 08:49:11U2020-07-31 02:40:00.0병원205665.640838449129.621885병원1522691691.49120 116 109 106 105 101내과, 정형외과, 신경외과, 마취통증의학과, 영상의학과, 재활의학과<NA><NA><NA>00<NA><NA>0<NA>
213030000PHMA2202030300330212000012002-04-19<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7609-9252<NA><NA>서울특별시 성동구 하왕십리동 1070-3서울특별시 성동구 왕십리로 382 (하왕십리동)4701재단법인베스티안재단베스티안서울병원2023-03-14 09:10:49U2022-12-02 23:06:00.0병원202407.087512451424.19766<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>