Overview

Dataset statistics

Number of variables41
Number of observations26
Missing cells399
Missing cells (%)37.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory357.1 B

Variable types

Categorical12
Text10
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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-16166/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (70.5%)Imbalance
휴업종료일자 is highly imbalanced (70.5%)Imbalance
인허가취소일자 has 26 (100.0%) missing valuesMissing
폐업일자 has 18 (69.2%) missing valuesMissing
재개업일자 has 26 (100.0%) missing valuesMissing
소재지면적 has 9 (34.6%) missing valuesMissing
소재지우편번호 has 16 (61.5%) missing valuesMissing
지번주소 has 10 (38.5%) missing valuesMissing
도로명주소 has 2 (7.7%) missing valuesMissing
도로명우편번호 has 2 (7.7%) missing valuesMissing
좌표정보(X) has 4 (15.4%) missing valuesMissing
좌표정보(Y) has 4 (15.4%) missing valuesMissing
의료기관종별명 has 18 (69.2%) missing valuesMissing
의료인수 has 18 (69.2%) missing valuesMissing
입원실수 has 18 (69.2%) missing valuesMissing
병상수 has 18 (69.2%) missing valuesMissing
총면적 has 18 (69.2%) missing valuesMissing
진료과목내용 has 18 (69.2%) missing valuesMissing
진료과목내용명 has 18 (69.2%) missing valuesMissing
지정취소일자 has 26 (100.0%) missing valuesMissing
완화의료지정형태 has 26 (100.0%) missing valuesMissing
완화의료담당부서명 has 26 (100.0%) missing valuesMissing
총인원 has 26 (100.0%) missing valuesMissing
구조사수 has 26 (100.0%) missing valuesMissing
최초지정일자 has 26 (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 2 (7.7%) zerosZeros
병상수 has 1 (3.8%) zerosZeros

Reproduction

Analysis started2024-05-11 06:05:03.671439
Analysis finished2024-05-11 06:05:04.503305
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
3070000
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 26
100.0%

Length

2024-05-11T15:05:04.642602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:04.819606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 26
100.0%

관리번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T15:05:05.125593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters650
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

Unique26 ?
Unique (%)100.0%

Sample

1st rowPHMA219743070034021200001
2nd rowPHMA219853070034021200001
3rd rowPHMA219883070034021200001
4th rowPHMA219883070034021200002
5th rowPHMA219933070034021200001
ValueCountFrequency (%)
phma219743070034021200001 1
 
3.8%
phma219853070034021200001 1
 
3.8%
phma220223070034021200001 1
 
3.8%
phma220213070034021200001 1
 
3.8%
phma220183070034021200002 1
 
3.8%
phma220183070034021200001 1
 
3.8%
phma220173070034021200001 1
 
3.8%
phma220153070034021200001 1
 
3.8%
phma220143070034021200001 1
 
3.8%
phma220123070034021200001 1
 
3.8%
Other values (16) 16
61.5%
2024-05-11T15:05:05.709580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 238
36.6%
2 112
17.2%
1 64
 
9.8%
3 55
 
8.5%
7 30
 
4.6%
4 28
 
4.3%
P 26
 
4.0%
H 26
 
4.0%
M 26
 
4.0%
A 26
 
4.0%
Other values (4) 19
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 546
84.0%
Uppercase Letter 104
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 238
43.6%
2 112
20.5%
1 64
 
11.7%
3 55
 
10.1%
7 30
 
5.5%
4 28
 
5.1%
8 8
 
1.5%
9 6
 
1.1%
5 3
 
0.5%
6 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 26
25.0%
H 26
25.0%
M 26
25.0%
A 26
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 546
84.0%
Latin 104
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 238
43.6%
2 112
20.5%
1 64
 
11.7%
3 55
 
10.1%
7 30
 
5.5%
4 28
 
5.1%
8 8
 
1.5%
9 6
 
1.1%
5 3
 
0.5%
6 2
 
0.4%
Latin
ValueCountFrequency (%)
P 26
25.0%
H 26
25.0%
M 26
25.0%
A 26
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 650
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 238
36.6%
2 112
17.2%
1 64
 
9.8%
3 55
 
8.5%
7 30
 
4.6%
4 28
 
4.3%
P 26
 
4.0%
H 26
 
4.0%
M 26
 
4.0%
A 26
 
4.0%
Other values (4) 19
 
2.9%

인허가일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum1985-12-02 00:00:00
Maximum2022-06-27 00:00:00
2024-05-11T15:05:06.022506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:06.243941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
1
18 
3
8 

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 18
69.2%
3 8
30.8%

Length

2024-05-11T15:05:06.475635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:06.652416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 18
69.2%
3 8
30.8%

영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업/정상
18 
폐업
8 

Length

Max length5
Median length5
Mean length4.0769231
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 18
69.2%
폐업 8
30.8%

Length

2024-05-11T15:05:06.857001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:07.059313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 18
69.2%
폐업 8
30.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
13
18 
3
8 

Length

Max length2
Median length2
Mean length1.6923077
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 18
69.2%
3 8
30.8%

Length

2024-05-11T15:05:07.657899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:07.839228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 18
69.2%
3 8
30.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업중
18 
폐업
8 

Length

Max length3
Median length3
Mean length2.6923077
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 18
69.2%
폐업 8
30.8%

Length

2024-05-11T15:05:08.033788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:08.213567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 18
69.2%
폐업 8
30.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing18
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean20136898
Minimum20081231
Maximum20190117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T15:05:08.380880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081231
5-th percentile20091519
Q120125395
median20135776
Q320152901
95-th percentile20180002
Maximum20190117
Range108886
Interquartile range (IQR)27505.5

Descriptive statistics

Standard deviation32707.942
Coefficient of variation (CV)0.001624279
Kurtosis0.63761288
Mean20136898
Median Absolute Deviation (MAD)19752.5
Skewness-0.12899102
Sum1.6109519 × 108
Variance1.0698095 × 109
MonotonicityNot monotonic
2024-05-11T15:05:08.613842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20110624 1
 
3.8%
20130319 1
 
3.8%
20190117 1
 
3.8%
20081231 1
 
3.8%
20161216 1
 
3.8%
20130530 1
 
3.8%
20141022 1
 
3.8%
20150129 1
 
3.8%
(Missing) 18
69.2%
ValueCountFrequency (%)
20081231 1
3.8%
20110624 1
3.8%
20130319 1
3.8%
20130530 1
3.8%
20141022 1
3.8%
20150129 1
3.8%
20161216 1
3.8%
20190117 1
3.8%
ValueCountFrequency (%)
20190117 1
3.8%
20161216 1
3.8%
20150129 1
3.8%
20141022 1
3.8%
20130530 1
3.8%
20130319 1
3.8%
20110624 1
3.8%
20081231 1
3.8%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
24 
20110602
 
1
20160107
 
1

Length

Max length8
Median length4
Mean length4.3076923
Min length4

Unique

Unique2 ?
Unique (%)7.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row20110602

Common Values

ValueCountFrequency (%)
<NA> 24
92.3%
20110602 1
 
3.8%
20160107 1
 
3.8%

Length

2024-05-11T15:05:08.870473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:09.074935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
92.3%
20110602 1
 
3.8%
20160107 1
 
3.8%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
24 
20110710
 
1
20170131
 
1

Length

Max length8
Median length4
Mean length4.3076923
Min length4

Unique

Unique2 ?
Unique (%)7.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row20110710

Common Values

ValueCountFrequency (%)
<NA> 24
92.3%
20110710 1
 
3.8%
20170131 1
 
3.8%

Length

2024-05-11T15:05:09.280663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:09.477017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
92.3%
20110710 1
 
3.8%
20170131 1
 
3.8%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

전화번호
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T15:05:09.784678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.846154
Min length8

Characters and Unicode

Total characters282
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

Unique24 ?
Unique (%)92.3%

Sample

1st row1577-0083
2nd row02-940-1500
3rd row02-919-3404
4th row02-926-7505
5th row02-942-3611
ValueCountFrequency (%)
02-942-3611 2
 
7.7%
1577-0083 1
 
3.8%
959-0182 1
 
3.8%
02-6231-7575 1
 
3.8%
02-921-0088 1
 
3.8%
02-912-0100 1
 
3.8%
02-6312-3700 1
 
3.8%
02-929-2114 1
 
3.8%
02-911-7115 1
 
3.8%
02-3672-2233 1
 
3.8%
Other values (15) 15
57.7%
2024-05-11T15:05:10.492329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 49
17.4%
- 48
17.0%
0 46
16.3%
1 31
11.0%
9 30
10.6%
3 16
 
5.7%
5 15
 
5.3%
4 13
 
4.6%
6 13
 
4.6%
7 12
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 234
83.0%
Dash Punctuation 48
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 49
20.9%
0 46
19.7%
1 31
13.2%
9 30
12.8%
3 16
 
6.8%
5 15
 
6.4%
4 13
 
5.6%
6 13
 
5.6%
7 12
 
5.1%
8 9
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 282
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 49
17.4%
- 48
17.0%
0 46
16.3%
1 31
11.0%
9 30
10.6%
3 16
 
5.7%
5 15
 
5.3%
4 13
 
4.6%
6 13
 
4.6%
7 12
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 282
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 49
17.4%
- 48
17.0%
0 46
16.3%
1 31
11.0%
9 30
10.6%
3 16
 
5.7%
5 15
 
5.3%
4 13
 
4.6%
6 13
 
4.6%
7 12
 
4.3%

소재지면적
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing9
Missing (%)34.6%
Infinite0
Infinite (%)0.0%
Mean10220.505
Minimum1284.41
Maximum96410.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T15:05:10.754319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1284.41
5-th percentile1769.442
Q12856.01
median4708.95
Q36628
95-th percentile27317.924
Maximum96410.66
Range95126.25
Interquartile range (IQR)3771.99

Descriptive statistics

Standard deviation22358.602
Coefficient of variation (CV)2.1876221
Kurtosis16.464672
Mean10220.505
Median Absolute Deviation (MAD)1919.05
Skewness4.0321644
Sum173748.58
Variance4.9990708 × 108
MonotonicityNot monotonic
2024-05-11T15:05:10.970806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
6184.0 1
 
3.8%
3167.0 1
 
3.8%
1890.7 1
 
3.8%
1284.41 1
 
3.8%
9463.42 1
 
3.8%
8273.04 1
 
3.8%
2427.6 1
 
3.8%
4908.0 1
 
3.8%
96410.66 1
 
3.8%
4300.0 1
 
3.8%
Other values (7) 7
26.9%
(Missing) 9
34.6%
ValueCountFrequency (%)
1284.41 1
3.8%
1890.7 1
3.8%
2427.6 1
3.8%
2600.14 1
3.8%
2856.01 1
3.8%
3167.0 1
3.8%
3846.37 1
3.8%
4300.0 1
3.8%
4708.95 1
3.8%
4755.54 1
3.8%
ValueCountFrequency (%)
96410.66 1
3.8%
10044.74 1
3.8%
9463.42 1
3.8%
8273.04 1
3.8%
6628.0 1
3.8%
6184.0 1
3.8%
4908.0 1
3.8%
4755.54 1
3.8%
4708.95 1
3.8%
4300.0 1
3.8%

소재지우편번호
Text

MISSING 

Distinct9
Distinct (%)90.0%
Missing16
Missing (%)61.5%
Memory size340.0 B
2024-05-11T15:05:11.210435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.4
Min length6

Characters and Unicode

Total characters64
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

Unique8 ?
Unique (%)80.0%

Sample

1st row136-873
2nd row136140
3rd row136-140
4th row136817
5th row136872
ValueCountFrequency (%)
136817 2
20.0%
136-873 1
10.0%
136140 1
10.0%
136-140 1
10.0%
136872 1
10.0%
136084 1
10.0%
136841 1
10.0%
136-084 1
10.0%
136-841 1
10.0%
2024-05-11T15:05:11.683736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 16
25.0%
3 11
17.2%
6 10
15.6%
8 8
12.5%
4 6
 
9.4%
7 4
 
6.2%
- 4
 
6.2%
0 4
 
6.2%
2 1
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60
93.8%
Dash Punctuation 4
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16
26.7%
3 11
18.3%
6 10
16.7%
8 8
13.3%
4 6
 
10.0%
7 4
 
6.7%
0 4
 
6.7%
2 1
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 64
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 16
25.0%
3 11
17.2%
6 10
15.6%
8 8
12.5%
4 6
 
9.4%
7 4
 
6.2%
- 4
 
6.2%
0 4
 
6.2%
2 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 64
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 16
25.0%
3 11
17.2%
6 10
15.6%
8 8
12.5%
4 6
 
9.4%
7 4
 
6.2%
- 4
 
6.2%
0 4
 
6.2%
2 1
 
1.6%

지번주소
Text

MISSING 

Distinct15
Distinct (%)93.8%
Missing10
Missing (%)38.5%
Memory size340.0 B
2024-05-11T15:05:12.041596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length24.1875
Min length18

Characters and Unicode

Total characters387
Distinct characters64
Distinct categories7 ?
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 (%)87.5%

Sample

1st row서울특별시 성북구 안암동5가 126번지 1호 고려대병원
2nd row서울특별시 성북구 하월곡동 88번지 526호
3rd row서울특별시 성북구 하월곡동 88번지 747호 동서병원
4th row서울특별시 성북구 동선동1가 114-1 플라망스타워
5th row서울특별시 성북구 장위동 33번지 7호
ValueCountFrequency (%)
성북구 16
20.3%
서울특별시 14
17.7%
하월곡동 3
 
3.8%
서울시 2
 
2.5%
16번지 2
 
2.5%
정릉동 2
 
2.5%
88번지 2
 
2.5%
종암동 2
 
2.5%
18번지 2
 
2.5%
보문동4가 2
 
2.5%
Other values (32) 32
40.5%
2024-05-11T15:05:12.640872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
16.3%
동 18
 
4.7%
서 17
 
4.4%
1 17
 
4.4%
시 16
 
4.1%
성 16
 
4.1%
북 16
 
4.1%
구 16
 
4.1%
울 16
 
4.1%
특 14
 
3.6%
Other values (54) 178
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 238
61.5%
Decimal Number 76
 
19.6%
Space Separator 63
 
16.3%
Dash Punctuation 5
 
1.3%
Other Punctuation 3
 
0.8%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 18
 
7.6%
서 17
 
7.1%
시 16
 
6.7%
성 16
 
6.7%
북 16
 
6.7%
구 16
 
6.7%
울 16
 
6.7%
특 14
 
5.9%
별 14
 
5.9%
지 13
 
5.5%
Other values (40) 82
34.5%
Decimal Number
ValueCountFrequency (%)
1 17
22.4%
4 10
13.2%
8 9
11.8%
3 9
11.8%
2 9
11.8%
6 9
11.8%
5 7
9.2%
7 4
 
5.3%
0 2
 
2.6%
Space Separator
ValueCountFrequency (%)
63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 238
61.5%
Common 149
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 18
 
7.6%
서 17
 
7.1%
시 16
 
6.7%
성 16
 
6.7%
북 16
 
6.7%
구 16
 
6.7%
울 16
 
6.7%
특 14
 
5.9%
별 14
 
5.9%
지 13
 
5.5%
Other values (40) 82
34.5%
Common
ValueCountFrequency (%)
63
42.3%
1 17
 
11.4%
4 10
 
6.7%
8 9
 
6.0%
3 9
 
6.0%
2 9
 
6.0%
6 9
 
6.0%
5 7
 
4.7%
- 5
 
3.4%
7 4
 
2.7%
Other values (4) 7
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 238
61.5%
ASCII 149
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
42.3%
1 17
 
11.4%
4 10
 
6.7%
8 9
 
6.0%
3 9
 
6.0%
2 9
 
6.0%
6 9
 
6.0%
5 7
 
4.7%
- 5
 
3.4%
7 4
 
2.7%
Other values (4) 7
 
4.7%
Hangul
ValueCountFrequency (%)
동 18
 
7.6%
서 17
 
7.1%
시 16
 
6.7%
성 16
 
6.7%
북 16
 
6.7%
구 16
 
6.7%
울 16
 
6.7%
특 14
 
5.9%
별 14
 
5.9%
지 13
 
5.5%
Other values (40) 82
34.5%

도로명주소
Text

MISSING 

Distinct21
Distinct (%)87.5%
Missing2
Missing (%)7.7%
Memory size340.0 B
2024-05-11T15:05:13.038373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length34
Mean length26.916667
Min length22

Characters and Unicode

Total characters646
Distinct characters74
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)75.0%

Sample

1st row서울특별시 성북구 고려대로 73, 고려대병원 (안암동5가)
2nd row서울특별시 성북구 종암로 191 (하월곡동)
3rd row서울특별시 성북구 종암로 72 (종암동)
4th row서울특별시 성북구 안암로 99 (안암동5가)
5th row서울특별시 성북구 동소문로 306, 동서병원 (하월곡동)
ValueCountFrequency (%)
서울특별시 24
18.5%
성북구 24
18.5%
동소문로 6
 
4.6%
하월곡동 5
 
3.8%
종암로 5
 
3.8%
종암동 4
 
3.1%
정릉동 4
 
3.1%
보문로 3
 
2.3%
86 2
 
1.5%
보문동4가 2
 
1.5%
Other values (45) 51
39.2%
2024-05-11T15:05:13.636394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
 
16.4%
동 36
 
5.6%
서 25
 
3.9%
북 25
 
3.9%
특 24
 
3.7%
별 24
 
3.7%
시 24
 
3.7%
성 24
 
3.7%
구 24
 
3.7%
1 24
 
3.7%
Other values (64) 310
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 395
61.1%
Space Separator 106
 
16.4%
Decimal Number 87
 
13.5%
Close Punctuation 24
 
3.7%
Open Punctuation 24
 
3.7%
Other Punctuation 8
 
1.2%
Math Symbol 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 36
 
9.1%
서 25
 
6.3%
북 25
 
6.3%
특 24
 
6.1%
별 24
 
6.1%
시 24
 
6.1%
성 24
 
6.1%
구 24
 
6.1%
로 24
 
6.1%
울 24
 
6.1%
Other values (49) 141
35.7%
Decimal Number
ValueCountFrequency (%)
1 24
27.6%
6 10
11.5%
4 9
 
10.3%
7 8
 
9.2%
5 7
 
8.0%
2 7
 
8.0%
0 6
 
6.9%
9 6
 
6.9%
3 5
 
5.7%
8 5
 
5.7%
Space Separator
ValueCountFrequency (%)
106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 395
61.1%
Common 251
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 36
 
9.1%
서 25
 
6.3%
북 25
 
6.3%
특 24
 
6.1%
별 24
 
6.1%
시 24
 
6.1%
성 24
 
6.1%
구 24
 
6.1%
로 24
 
6.1%
울 24
 
6.1%
Other values (49) 141
35.7%
Common
ValueCountFrequency (%)
106
42.2%
1 24
 
9.6%
) 24
 
9.6%
( 24
 
9.6%
6 10
 
4.0%
4 9
 
3.6%
, 8
 
3.2%
7 8
 
3.2%
5 7
 
2.8%
2 7
 
2.8%
Other values (5) 24
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 395
61.1%
ASCII 251
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
42.2%
1 24
 
9.6%
) 24
 
9.6%
( 24
 
9.6%
6 10
 
4.0%
4 9
 
3.6%
, 8
 
3.2%
7 8
 
3.2%
5 7
 
2.8%
2 7
 
2.8%
Other values (5) 24
 
9.6%
Hangul
ValueCountFrequency (%)
동 36
 
9.1%
서 25
 
6.3%
북 25
 
6.3%
특 24
 
6.1%
별 24
 
6.1%
시 24
 
6.1%
성 24
 
6.1%
구 24
 
6.1%
로 24
 
6.1%
울 24
 
6.1%
Other values (49) 141
35.7%

도로명우편번호
Text

MISSING 

Distinct19
Distinct (%)79.2%
Missing2
Missing (%)7.7%
Memory size340.0 B
2024-05-11T15:05:13.891574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1666667
Min length5

Characters and Unicode

Total characters124
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)66.7%

Sample

1st row02841
2nd row02733
3rd row02800
4th row02856
5th row02733
ValueCountFrequency (%)
02733 4
16.7%
02800 2
 
8.3%
02845 2
 
8.3%
136841 1
 
4.2%
02841 1
 
4.2%
136084 1
 
4.2%
02803 1
 
4.2%
02811 1
 
4.2%
02829 1
 
4.2%
02817 1
 
4.2%
Other values (9) 9
37.5%
2024-05-11T15:05:14.364589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28
22.6%
2 24
19.4%
8 16
12.9%
3 13
10.5%
7 12
9.7%
1 9
 
7.3%
5 7
 
5.6%
4 6
 
4.8%
6 5
 
4.0%
9 3
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 123
99.2%
Dash Punctuation 1
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
22.8%
2 24
19.5%
8 16
13.0%
3 13
10.6%
7 12
9.8%
1 9
 
7.3%
5 7
 
5.7%
4 6
 
4.9%
6 5
 
4.1%
9 3
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 124
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 28
22.6%
2 24
19.4%
8 16
12.9%
3 13
10.5%
7 12
9.7%
1 9
 
7.3%
5 7
 
5.6%
4 6
 
4.8%
6 5
 
4.0%
9 3
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 124
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28
22.6%
2 24
19.4%
8 16
12.9%
3 13
10.5%
7 12
9.7%
1 9
 
7.3%
5 7
 
5.6%
4 6
 
4.8%
6 5
 
4.0%
9 3
 
2.4%

사업장명
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T15:05:14.719967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length18.5
Mean length10
Min length4

Characters and Unicode

Total characters260
Distinct characters79
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)92.3%

Sample

1st row학교법인 고려중앙학원 고려대학교의과대학부속병원(안암병원)
2nd row사회복지법인 성가소비녀회 성가복지병원
3rd row의료법인서광의료재단 성북중앙병원
4th row의료법인 우신향병원
5th row동서병원
ValueCountFrequency (%)
신라한방병원 2
 
5.7%
새마음요양병원 1
 
2.9%
학교법인 1
 
2.9%
고려중앙학원 1
 
2.9%
고려대학교의과대학부속병원(안암병원 1
 
2.9%
심청요양병원 1
 
2.9%
연세요양병원 1
 
2.9%
성북웰니스요양병원 1
 
2.9%
더서울병원 1
 
2.9%
서울연세요양병원 1
 
2.9%
Other values (24) 24
68.6%
2024-05-11T15:05:15.327600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 29
 
11.2%
병 27
 
10.4%
양 11
 
4.2%
요 11
 
4.2%
의 10
 
3.8%
10
 
3.8%
료 9
 
3.5%
성 8
 
3.1%
서 7
 
2.7%
인 7
 
2.7%
Other values (69) 131
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 248
95.4%
Space Separator 10
 
3.8%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 29
 
11.7%
병 27
 
10.9%
양 11
 
4.4%
요 11
 
4.4%
의 10
 
4.0%
료 9
 
3.6%
성 8
 
3.2%
서 7
 
2.8%
인 7
 
2.8%
법 7
 
2.8%
Other values (66) 122
49.2%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 248
95.4%
Common 12
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 29
 
11.7%
병 27
 
10.9%
양 11
 
4.4%
요 11
 
4.4%
의 10
 
4.0%
료 9
 
3.6%
성 8
 
3.2%
서 7
 
2.8%
인 7
 
2.8%
법 7
 
2.8%
Other values (66) 122
49.2%
Common
ValueCountFrequency (%)
10
83.3%
) 1
 
8.3%
( 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 248
95.4%
ASCII 12
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 29
 
11.7%
병 27
 
10.9%
양 11
 
4.4%
요 11
 
4.4%
의 10
 
4.0%
료 9
 
3.6%
성 8
 
3.2%
서 7
 
2.8%
인 7
 
2.8%
법 7
 
2.8%
Other values (66) 122
49.2%
ASCII
ValueCountFrequency (%)
10
83.3%
) 1
 
8.3%
( 1
 
8.3%

최종수정일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2009-04-15 09:37:24
Maximum2024-04-30 19:39:39
2024-05-11T15:05:15.518654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:15.698660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
U
20 
I
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 20
76.9%
I 6
 
23.1%

Length

2024-05-11T15:05:15.859023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:16.026678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 20
76.9%
i 6
 
23.1%

데이터갱신일자
Date

Distinct13
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T15:05:16.139669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:05:16.298524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Categorical

Distinct5
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
요양병원(일반요양병원)
11 
병원
8 
한방병원
4 
치과병원
2 
종합병원
 
1

Length

Max length12
Median length4
Mean length6.7692308
Min length2

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
요양병원(일반요양병원) 11
42.3%
병원 8
30.8%
한방병원 4
 
15.4%
치과병원 2
 
7.7%
종합병원 1
 
3.8%

Length

2024-05-11T15:05:16.495932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:16.637041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요양병원(일반요양병원 11
42.3%
병원 8
30.8%
한방병원 4
 
15.4%
치과병원 2
 
7.7%
종합병원 1
 
3.8%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing4
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean202491.03
Minimum200279.46
Maximum206151.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T15:05:16.824248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200279.46
5-th percentile200449.84
Q1201783.48
median202398.35
Q3202819.83
95-th percentile205110.74
Maximum206151.04
Range5871.5775
Interquartile range (IQR)1036.3429

Descriptive statistics

Standard deviation1419.6779
Coefficient of variation (CV)0.007011066
Kurtosis1.4484357
Mean202491.03
Median Absolute Deviation (MAD)614.86164
Skewness1.0821523
Sum4454802.6
Variance2015485.5
MonotonicityNot monotonic
2024-05-11T15:05:17.032384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
201783.484132538 2
 
7.7%
202645.583739356 1
 
3.8%
200279.459422208 1
 
3.8%
202819.871767584 1
 
3.8%
201447.418693099 1
 
3.8%
202518.375589119 1
 
3.8%
203092.615809021 1
 
3.8%
201389.393007427 1
 
3.8%
201837.924804487 1
 
3.8%
201828.206641704 1
 
3.8%
Other values (11) 11
42.3%
(Missing) 4
 
15.4%
ValueCountFrequency (%)
200279.459422208 1
3.8%
200400.394827284 1
3.8%
201389.393007427 1
3.8%
201447.418693099 1
3.8%
201536.883548815 1
3.8%
201783.484132538 2
7.7%
201828.206641704 1
3.8%
201837.924804487 1
3.8%
201941.07955989 1
3.8%
202313.850759843 1
3.8%
ValueCountFrequency (%)
206151.036941419 1
3.8%
205115.270098014 1
3.8%
205024.681442227 1
3.8%
203092.615809021 1
3.8%
203077.869984621 1
3.8%
202819.871767584 1
3.8%
202819.692817635 1
3.8%
202645.583739356 1
3.8%
202518.375589119 1
3.8%
202513.134565354 1
3.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing4
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean455250.3
Minimum453050.04
Maximum457016.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T15:05:17.172537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453050.04
5-th percentile453412.4
Q1454539.92
median455451.59
Q3456181.66
95-th percentile456645.12
Maximum457016.42
Range3966.3878
Interquartile range (IQR)1641.7454

Descriptive statistics

Standard deviation1144.2485
Coefficient of variation (CV)0.0025134493
Kurtosis-0.83523765
Mean455250.3
Median Absolute Deviation (MAD)857.02126
Skewness-0.41938153
Sum10015507
Variance1309304.7
MonotonicityNot monotonic
2024-05-11T15:05:17.319612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
453412.395182677 2
 
7.7%
456061.113850349 1
 
3.8%
456219.797491714 1
 
3.8%
455458.024657239 1
 
3.8%
454477.103343093 1
 
3.8%
456065.671970878 1
 
3.8%
454534.484140104 1
 
3.8%
454658.210922524 1
 
3.8%
455449.081451786 1
 
3.8%
455454.105258935 1
 
3.8%
Other values (11) 11
42.3%
(Missing) 4
 
15.4%
ValueCountFrequency (%)
453050.036188994 1
3.8%
453412.395182677 2
7.7%
453871.264665299 1
3.8%
454477.103343093 1
3.8%
454534.484140104 1
3.8%
454556.210968626 1
3.8%
454658.210922524 1
3.8%
454951.438850948 1
3.8%
455032.117169385 1
3.8%
455449.081451786 1
3.8%
ValueCountFrequency (%)
457016.424027263 1
3.8%
456653.34725952 1
3.8%
456488.813984717 1
3.8%
456338.07329225 1
3.8%
456279.155933546 1
3.8%
456219.797491714 1
3.8%
456067.252354538 1
3.8%
456065.671970878 1
3.8%
456061.113850349 1
3.8%
455458.024657239 1
3.8%

의료기관종별명
Text

MISSING 

Distinct4
Distinct (%)50.0%
Missing18
Missing (%)69.2%
Memory size340.0 B
2024-05-11T15:05:17.562808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length4
Mean length6.5
Min length2

Characters and Unicode

Total characters52
Distinct characters12
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

Unique1 ?
Unique (%)12.5%

Sample

1st row병원
2nd row치과병원
3rd row병원
4th row한방병원
5th row요양병원(일반요양병원)
ValueCountFrequency (%)
요양병원(일반요양병원 3
37.5%
병원 2
25.0%
한방병원 2
25.0%
치과병원 1
 
12.5%
2024-05-11T15:05:17.941751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
병 11
21.2%
원 11
21.2%
요 6
11.5%
양 6
11.5%
( 3
 
5.8%
일 3
 
5.8%
반 3
 
5.8%
) 3
 
5.8%
한 2
 
3.8%
방 2
 
3.8%
Other values (2) 2
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46
88.5%
Open Punctuation 3
 
5.8%
Close Punctuation 3
 
5.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
병 11
23.9%
원 11
23.9%
요 6
13.0%
양 6
13.0%
일 3
 
6.5%
반 3
 
6.5%
한 2
 
4.3%
방 2
 
4.3%
치 1
 
2.2%
과 1
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46
88.5%
Common 6
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
병 11
23.9%
원 11
23.9%
요 6
13.0%
양 6
13.0%
일 3
 
6.5%
반 3
 
6.5%
한 2
 
4.3%
방 2
 
4.3%
치 1
 
2.2%
과 1
 
2.2%
Common
ValueCountFrequency (%)
( 3
50.0%
) 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46
88.5%
ASCII 6
 
11.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
병 11
23.9%
원 11
23.9%
요 6
13.0%
양 6
13.0%
일 3
 
6.5%
반 3
 
6.5%
한 2
 
4.3%
방 2
 
4.3%
치 1
 
2.2%
과 1
 
2.2%
ASCII
ValueCountFrequency (%)
( 3
50.0%
) 3
50.0%

의료인수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing18
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean8
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T15:05:18.088922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.5
median6
Q310.25
95-th percentile20.5
Maximum24
Range23
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation7.855844
Coefficient of variation (CV)0.98198051
Kurtosis1.6279321
Mean8
Median Absolute Deviation (MAD)4
Skewness1.3507283
Sum64
Variance61.714286
MonotonicityNot monotonic
2024-05-11T15:05:18.220837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 2
 
7.7%
9 1
 
3.8%
3 1
 
3.8%
8 1
 
3.8%
4 1
 
3.8%
24 1
 
3.8%
14 1
 
3.8%
(Missing) 18
69.2%
ValueCountFrequency (%)
1 2
7.7%
3 1
3.8%
4 1
3.8%
8 1
3.8%
9 1
3.8%
14 1
3.8%
24 1
3.8%
ValueCountFrequency (%)
24 1
3.8%
14 1
3.8%
9 1
3.8%
8 1
3.8%
4 1
3.8%
3 1
3.8%
1 2
7.7%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)75.0%
Missing18
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean16.375
Minimum0
Maximum31
Zeros2
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T15:05:18.366233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.5
median15
Q330
95-th percentile30.65
Maximum31
Range31
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation12.916628
Coefficient of variation (CV)0.78880173
Kurtosis-1.6955683
Mean16.375
Median Absolute Deviation (MAD)15
Skewness-0.076657239
Sum131
Variance166.83929
MonotonicityNot monotonic
2024-05-11T15:05:18.528589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 2
 
7.7%
30 2
 
7.7%
31 1
 
3.8%
10 1
 
3.8%
16 1
 
3.8%
14 1
 
3.8%
(Missing) 18
69.2%
ValueCountFrequency (%)
0 2
7.7%
10 1
3.8%
14 1
3.8%
16 1
3.8%
30 2
7.7%
31 1
3.8%
ValueCountFrequency (%)
31 1
3.8%
30 2
7.7%
16 1
3.8%
14 1
3.8%
10 1
3.8%
0 2
7.7%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)100.0%
Missing18
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean78.125
Minimum0
Maximum175
Zeros1
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T15:05:18.696926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.5
Q137.5
median60
Q3111
95-th percentile172.55
Maximum175
Range175
Interquartile range (IQR)73.5

Descriptive statistics

Standard deviation64.261603
Coefficient of variation (CV)0.82254851
Kurtosis-0.8792484
Mean78.125
Median Absolute Deviation (MAD)31
Skewness0.67679287
Sum625
Variance4129.5536
MonotonicityNot monotonic
2024-05-11T15:05:18.855579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
79 1
 
3.8%
0 1
 
3.8%
30 1
 
3.8%
40 1
 
3.8%
92 1
 
3.8%
41 1
 
3.8%
168 1
 
3.8%
175 1
 
3.8%
(Missing) 18
69.2%
ValueCountFrequency (%)
0 1
3.8%
30 1
3.8%
40 1
3.8%
41 1
3.8%
79 1
3.8%
92 1
3.8%
168 1
3.8%
175 1
3.8%
ValueCountFrequency (%)
175 1
3.8%
168 1
3.8%
92 1
3.8%
79 1
3.8%
41 1
3.8%
40 1
3.8%
30 1
3.8%
0 1
3.8%

총면적
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing18
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean1737.9887
Minimum311.03
Maximum4561.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T15:05:19.040850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum311.03
5-th percentile376.207
Q1645.2625
median1203
Q31978.2075
95-th percentile4432.8455
Maximum4561.6
Range4250.57
Interquartile range (IQR)1332.945

Descriptive statistics

Standard deviation1668.5523
Coefficient of variation (CV)0.96004781
Kurtosis-0.12890951
Mean1737.9887
Median Absolute Deviation (MAD)607.075
Skewness1.2686617
Sum13903.91
Variance2784066.7
MonotonicityNot monotonic
2024-05-11T15:05:19.255795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1203.0 2
 
7.7%
4193.73 1
 
3.8%
311.03 1
 
3.8%
497.25 1
 
3.8%
694.6 1
 
3.8%
1239.7 1
 
3.8%
4561.6 1
 
3.8%
(Missing) 18
69.2%
ValueCountFrequency (%)
311.03 1
3.8%
497.25 1
3.8%
694.6 1
3.8%
1203.0 2
7.7%
1239.7 1
3.8%
4193.73 1
3.8%
4561.6 1
3.8%
ValueCountFrequency (%)
4561.6 1
3.8%
4193.73 1
3.8%
1239.7 1
3.8%
1203.0 2
7.7%
694.6 1
3.8%
497.25 1
3.8%
311.03 1
3.8%

진료과목내용
Text

MISSING 

Distinct7
Distinct (%)87.5%
Missing18
Missing (%)69.2%
Memory size340.0 B
2024-05-11T15:05:19.519742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length27.5
Min length3

Characters and Unicode

Total characters220
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

Unique6 ?
Unique (%)75.0%

Sample

1st row101
2nd row101 201 204 207 210 208 205 202 203 206 209
3rd row101 105 104 111 120 116 114 115 118
4th row101
5th row101 104 105 106 102 103 108 122
ValueCountFrequency (%)
101 7
 
12.3%
104 4
 
7.0%
105 3
 
5.3%
122 3
 
5.3%
102 3
 
5.3%
106 3
 
5.3%
114 3
 
5.3%
120 3
 
5.3%
111 2
 
3.5%
115 2
 
3.5%
Other values (24) 24
42.1%
2024-05-11T15:05:20.025706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 61
27.7%
49
22.3%
0 44
20.0%
2 24
 
10.9%
3 12
 
5.5%
4 9
 
4.1%
5 7
 
3.2%
6 6
 
2.7%
8 4
 
1.8%
7 2
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 171
77.7%
Space Separator 49
 
22.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 61
35.7%
0 44
25.7%
2 24
 
14.0%
3 12
 
7.0%
4 9
 
5.3%
5 7
 
4.1%
6 6
 
3.5%
8 4
 
2.3%
7 2
 
1.2%
9 2
 
1.2%
Space Separator
ValueCountFrequency (%)
49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 61
27.7%
49
22.3%
0 44
20.0%
2 24
 
10.9%
3 12
 
5.5%
4 9
 
4.1%
5 7
 
3.2%
6 6
 
2.7%
8 4
 
1.8%
7 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 61
27.7%
49
22.3%
0 44
20.0%
2 24
 
10.9%
3 12
 
5.5%
4 9
 
4.1%
5 7
 
3.2%
6 6
 
2.7%
8 4
 
1.8%
7 2
 
0.9%

진료과목내용명
Text

MISSING 

Distinct7
Distinct (%)87.5%
Missing18
Missing (%)69.2%
Memory size340.0 B
2024-05-11T15:05:20.302277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length60
Mean length43
Min length2

Characters and Unicode

Total characters344
Distinct characters55
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

Unique6 ?
Unique (%)75.0%

Sample

1st row내과
2nd row내과, 구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 구강악안면방사선과, 구강병리과, 예방치과
3rd row내과, 외과, 정형외과, 소아청소년과, 피부과, 비뇨의학과, 영상의학과, 병리과, 재활의학과
4th row내과
5th row내과, 신경과, 정신건강의학과, 외과, 정형외과, 신경외과, 성형외과, 가정의학과
ValueCountFrequency (%)
내과 7
 
12.3%
외과 4
 
7.0%
신경외과 3
 
5.3%
재활의학과 3
 
5.3%
가정의학과 3
 
5.3%
피부과 3
 
5.3%
정형외과 3
 
5.3%
신경과 3
 
5.3%
소아청소년과 2
 
3.5%
비뇨의학과 2
 
3.5%
Other values (24) 24
42.1%
2024-05-11T15:05:20.789617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 60
17.4%
, 49
14.2%
49
14.2%
의 12
 
3.5%
학 12
 
3.5%
외 12
 
3.5%
내 9
 
2.6%
신 9
 
2.6%
정 9
 
2.6%
방 8
 
2.3%
Other values (45) 115
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 244
70.9%
Other Punctuation 51
 
14.8%
Space Separator 49
 
14.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 60
24.6%
의 12
 
4.9%
학 12
 
4.9%
외 12
 
4.9%
내 9
 
3.7%
신 9
 
3.7%
정 9
 
3.7%
방 8
 
3.3%
경 7
 
2.9%
한 6
 
2.5%
Other values (42) 100
41.0%
Other Punctuation
ValueCountFrequency (%)
, 49
96.1%
? 2
 
3.9%
Space Separator
ValueCountFrequency (%)
49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 244
70.9%
Common 100
29.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 60
24.6%
의 12
 
4.9%
학 12
 
4.9%
외 12
 
4.9%
내 9
 
3.7%
신 9
 
3.7%
정 9
 
3.7%
방 8
 
3.3%
경 7
 
2.9%
한 6
 
2.5%
Other values (42) 100
41.0%
Common
ValueCountFrequency (%)
, 49
49.0%
49
49.0%
? 2
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 244
70.9%
ASCII 100
29.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 60
24.6%
의 12
 
4.9%
학 12
 
4.9%
외 12
 
4.9%
내 9
 
3.7%
신 9
 
3.7%
정 9
 
3.7%
방 8
 
3.3%
경 7
 
2.9%
한 6
 
2.5%
Other values (42) 100
41.0%
ASCII
ValueCountFrequency (%)
, 49
49.0%
49
49.0%
? 2
 
2.0%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

구급차특수
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
18 
0
8 

Length

Max length4
Median length4
Mean length3.0769231
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> 18
69.2%
0 8
30.8%

Length

2024-05-11T15:05:21.000391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:21.164687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
69.2%
0 8
30.8%

구급차일반
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
18 
0
8 

Length

Max length4
Median length4
Mean length3.0769231
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> 18
69.2%
0 8
30.8%

Length

2024-05-11T15:05:21.359538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:21.572906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
69.2%
0 8
30.8%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

허가병상수
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
18 
0
8 

Length

Max length4
Median length4
Mean length3.0769231
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> 18
69.2%
0 8
30.8%

Length

2024-05-11T15:05:21.787458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:22.288970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
69.2%
0 8
30.8%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03070000PHMA2197430700340212000012016-01-28<NA>1영업/정상13영업중<NA><NA><NA><NA>1577-008396410.66<NA>서울특별시 성북구 안암동5가 126번지 1호 고려대병원서울특별시 성북구 고려대로 73, 고려대병원 (안암동5가)02841학교법인 고려중앙학원 고려대학교의과대학부속병원(안암병원)2024-04-29 10:09:36U2023-12-05 00:01:00.0종합병원202313.85076453871.264665<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13070000PHMA2198530700340212000011985-12-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-940-15006184.0136-873서울특별시 성북구 하월곡동 88번지 526호서울특별시 성북구 종암로 191 (하월곡동)02733사회복지법인 성가소비녀회 성가복지병원2023-11-02 10:45:03U2022-11-01 00:04:00.0병원202645.583739456061.11385<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23070000PHMA2198830700340212000011988-01-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-919-34044708.95<NA><NA>서울특별시 성북구 종암로 72 (종암동)02800의료법인서광의료재단 성북중앙병원2024-04-30 19:39:39U2023-12-05 00:02:00.0병원203077.869985454951.438851<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33070000PHMA2198830700340212000021988-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-926-75053846.37<NA><NA>서울특별시 성북구 안암로 99 (안암동5가)02856의료법인 우신향병원2024-04-29 10:10:00U2023-12-05 00:01:00.0병원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43070000PHMA21993307003402120000119930410<NA>3폐업3폐업201106242011060220110710<NA>02-942-3611<NA><NA>서울특별시 성북구 하월곡동 88번지 747호 동서병원서울특별시 성북구 동소문로 306, 동서병원 (하월곡동)02733동서병원2018-06-26 15:00:27I2018-08-31 23:59:59.0병원202482.840792456067.252355병원931794193.73101내과<NA><NA><NA>00<NA><NA>0<NA>
53070000PHMA22001307003402120000120010622<NA>3폐업3폐업20130319<NA><NA><NA>02-6221-2828<NA><NA>서울특별시 성북구 동선동1가 114-1 플라망스타워서울특별시 성북구 동소문로 118, 플라망스타워 1501,1502호 (동선동1가)02845예스치과병원2020-12-14 14:49:24U2020-12-16 02:40:00.0치과병원201536.883549454556.210969치과병원300311.03101 201 204 207 210 208 205 202 203 206 209내과, 구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 구강악안면방사선과, 구강병리과, 예방치과<NA><NA><NA>00<NA><NA>0<NA>
63070000PHMA22002307003402120000120020104<NA>3폐업3폐업20190117<NA><NA><NA>02-912-9004<NA>136140서울특별시 성북구 장위동 33번지 7호서울특별시 성북구 한천로 641 (장위동)02774의료법인조광의료재단 주사랑병원2019-01-17 14:40:37U2019-01-19 02:40:00.0병원205024.681442457016.424027병원11030497.25101 105 104 111 120 116 114 115 118내과, 외과, 정형외과, 소아청소년과, 피부과, 비뇨의학과, 영상의학과, 병리과, 재활의학과<NA><NA><NA>00<NA><NA>0<NA>
73070000PHMA2200330700340212000012003-06-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-941-4974<NA><NA><NA>서울특별시 성북구 종암로 72 (종암동)02800로덴치과병원2023-02-15 20:51:30U2022-12-01 23:07:00.0치과병원<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83070000PHMA2200530700340212000012005-12-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-919-27004755.54136-140서울시 성북구 장위3동 50-50서울특별시 성북구 화랑로 271 (장위동)02775의료법인유라의료재단 온누리요양병원2024-03-22 09:18:03U2023-12-02 22:04:00.0요양병원(일반요양병원)205115.270098456653.34726<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93070000PHMA2200630700340212000012006-06-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-940-200010044.74<NA><NA>서울특별시 성북구 동소문로47길 8 (길음동)02729서울척병원2024-04-29 10:08:58U2023-12-05 00:01:00.0병원202513.134565456279.155934<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
163070000PHMA22011307003402120000320111006<NA>3폐업3폐업20141022<NA><NA><NA>3672-2233<NA>136084서울특별시 성북구 보문동4가 18번지서울특별시 성북구 보문로 86 (보문동4가)136084심청요양병원2014-10-22 10:30:36I2018-08-31 23:59:59.0요양병원(일반요양병원)201783.484133453412.395183요양병원(일반요양병원)24301681239.7101 104 122 113 114 102 120 111 106내과, 신경과, 외과, 신경외과, 소아청소년과, 이비인후과, 피부과, 재활의학과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
173070000PHMA22012307003402120000120120223<NA>3폐업3폐업20150129<NA><NA><NA>1566-9698<NA>136841서울특별시 성북구 정릉1동 16번지 512호서울특별시 성북구 동소문로 215 (정릉동)136841연세요양병원2015-01-29 17:03:39I2018-08-31 23:59:59.0요양병원(일반요양병원)201828.206642455454.105259요양병원(일반요양병원)14301754561.6120 109 101 122 114 115 105 104 106 102내과, 신경과, 외과, 정형외과, 신경외과, 마취통증의학과, 피부과, 비뇨의학과, 재활의학과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
183070000PHMA2201430700340212000012014-10-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3672-22332600.14136-084서울특별시 성북구 보문동4가 18번지서울특별시 성북구 보문로 86 (보문동4가)02852성북웰니스요양병원2024-03-13 16:42:56U2023-12-02 23:05:00.0요양병원(일반요양병원)201783.484133453412.395183<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193070000PHMA2201530700340212000012015-03-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-911-71154908.0136-841서울특별시 성북구 정릉동 16번지 486호 외2필지서울특별시 성북구 동소문로 215 (정릉동)02817새마음요양병원2024-04-15 11:27:58U2023-12-03 23:07:00.0요양병원(일반요양병원)201837.924804455449.081452<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203070000PHMA2201730700340212000012017-03-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02-929-21142427.6<NA><NA>서울특별시 성북구 아리랑로 16 (동선동4가)02829더서울병원2024-04-22 11:35:59U2023-12-03 22:04:00.0병원201389.393007454658.210923<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213070000PHMA2201830700340212000012018-01-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6312-37008273.04<NA>서울특별시 성북구 종암동 25번지 6호서울특별시 성북구 종암로 31 (종암동)02811성북서울요양병원2024-04-29 10:09:10U2023-12-05 00:01:00.0요양병원(일반요양병원)203092.615809454534.48414<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223070000PHMA2201830700340212000022018-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-912-01009463.42<NA><NA>서울특별시 성북구 동소문로46길 10 (하월곡동)02733성북우리아이들병원2024-04-29 10:09:20U2023-12-05 00:01:00.0병원202518.375589456065.671971<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233070000PHMA2202130700340212000012021-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-921-00881284.41<NA><NA>서울특별시 성북구 동소문로 106, 유타 8~9층 (동선동1가)02845성북미올한방병원2024-04-22 11:38:49U2023-12-03 22:04:00.0한방병원201447.418693454477.103343<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243070000PHMA2202230700340212000012022-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6231-75751890.7<NA>서울특별시 성북구 종암동 3-1342 청한빌딩 4,5층서울특별시 성북구 종암로 129, 청한빌딩 4,5층 (종암동)02803한마음한방병원2024-04-15 11:28:45U2023-12-03 23:07:00.0한방병원202819.871768455458.024657<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253070000PHMA2202230700340212000022022-06-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6953-98563167.0<NA>서울특별시 성북구 정릉동 674-3 그린존서울특별시 성북구 솔샘로1길 19, 그린존 1층~6층 (정릉동)02708플러스요양병원2024-04-29 10:09:51U2023-12-05 00:01:00.0요양병원(일반요양병원)200279.459422456219.797492<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>