Overview

Dataset statistics

Number of variables41
Number of observations26
Missing cells369
Missing cells (%)34.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory357.1 B

Variable types

Categorical13
Text9
DateTime4
Unsupported8
Numeric7

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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-16167/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (60.1%)Imbalance
휴업종료일자 is highly imbalanced (60.1%)Imbalance
인허가취소일자 has 26 (100.0%) missing valuesMissing
폐업일자 has 16 (61.5%) 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 2 (7.7%) missing valuesMissing
도로명우편번호 has 4 (15.4%) missing valuesMissing
의료기관종별명 has 19 (73.1%) missing valuesMissing
입원실수 has 19 (73.1%) missing valuesMissing
병상수 has 19 (73.1%) missing valuesMissing
총면적 has 19 (73.1%) missing valuesMissing
진료과목내용 has 19 (73.1%) missing valuesMissing
진료과목내용명 has 19 (73.1%) 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
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료지정형태 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료담당부서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구조사수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
입원실수 has 1 (3.8%) zerosZeros
병상수 has 1 (3.8%) zerosZeros

Reproduction

Analysis started2024-05-11 03:11:49.900255
Analysis finished2024-05-11 03:11:51.241613
Duration1.34 second
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
3080000
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 26
100.0%

Length

2024-05-11T03:11:51.512691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:11:51.918575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 26
100.0%

관리번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T03:11:52.528401image/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 rowPHMA219813080033021200001
2nd rowPHMA219823080033021200001
3rd rowPHMA219823080033021200002
4th rowPHMA219923080033021200001
5th rowPHMA219943080033021200001
ValueCountFrequency (%)
phma219813080033021200001 1
 
3.8%
phma219823080033021200001 1
 
3.8%
phma220203080033021200002 1
 
3.8%
phma220203080033021200001 1
 
3.8%
phma220193080033021200001 1
 
3.8%
phma220183080033021200001 1
 
3.8%
phma220163080033021200001 1
 
3.8%
phma220143080033021200001 1
 
3.8%
phma220123080033021200001 1
 
3.8%
phma220113080033021200001 1
 
3.8%
Other values (16) 16
61.5%
2024-05-11T03:11:53.873535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 239
36.8%
2 109
16.8%
3 79
 
12.2%
1 64
 
9.8%
8 32
 
4.9%
P 26
 
4.0%
H 26
 
4.0%
M 26
 
4.0%
A 26
 
4.0%
9 13
 
2.0%
Other values (4) 10
 
1.5%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 239
43.8%
2 109
20.0%
3 79
 
14.5%
1 64
 
11.7%
8 32
 
5.9%
9 13
 
2.4%
4 4
 
0.7%
7 4
 
0.7%
5 1
 
0.2%
6 1
 
0.2%
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 (%)
0 239
43.8%
2 109
20.0%
3 79
 
14.5%
1 64
 
11.7%
8 32
 
5.9%
9 13
 
2.4%
4 4
 
0.7%
7 4
 
0.7%
5 1
 
0.2%
6 1
 
0.2%
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 (%)
0 239
36.8%
2 109
16.8%
3 79
 
12.2%
1 64
 
9.8%
8 32
 
4.9%
P 26
 
4.0%
H 26
 
4.0%
M 26
 
4.0%
A 26
 
4.0%
9 13
 
2.0%
Other values (4) 10
 
1.5%

인허가일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum1981-02-09 00:00:00
Maximum2022-04-08 00:00:00
2024-05-11T03:11:54.362811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:11:54.848231image/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

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
1
16 
3
9 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 16
61.5%
3 9
34.6%
4 1
 
3.8%

Length

2024-05-11T03:11:55.282867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:11:55.725260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 16
61.5%
3 9
34.6%
4 1
 
3.8%

영업상태명
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업/정상
16 
폐업
9 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.3076923
Min length2

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 16
61.5%
폐업 9
34.6%
취소/말소/만료/정지/중지 1
 
3.8%

Length

2024-05-11T03:11:56.269439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:11:56.856292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 16
61.5%
폐업 9
34.6%
취소/말소/만료/정지/중지 1
 
3.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
13
16 
3
9 
24
 
1

Length

Max length2
Median length2
Mean length1.6538462
Min length1

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
13 16
61.5%
3 9
34.6%
24 1
 
3.8%

Length

2024-05-11T03:11:57.268999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:11:57.672567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 16
61.5%
3 9
34.6%
24 1
 
3.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업중
16 
폐업
9 
직권폐업
 
1

Length

Max length4
Median length3
Mean length2.6923077
Min length2

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 16
61.5%
폐업 9
34.6%
직권폐업 1
 
3.8%

Length

2024-05-11T03:11:58.207002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:11:58.594240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 16
61.5%
폐업 9
34.6%
직권폐업 1
 
3.8%

폐업일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing16
Missing (%)61.5%
Memory size340.0 B
Minimum2009-08-03 00:00:00
Maximum2023-10-12 00:00:00
2024-05-11T03:11:58.907101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:11:59.327168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
22 
20141023
 
1
20110722
 
1
20090724
 
1
20210728
 
1

Length

Max length8
Median length4
Mean length4.6153846
Min length4

Unique

Unique4 ?
Unique (%)15.4%

Sample

1st row20141023
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
84.6%
20141023 1
 
3.8%
20110722 1
 
3.8%
20090724 1
 
3.8%
20210728 1
 
3.8%

Length

2024-05-11T03:11:59.873755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:12:00.240356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
84.6%
20141023 1
 
3.8%
20110722 1
 
3.8%
20090724 1
 
3.8%
20210728 1
 
3.8%

휴업종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
22 
20151023
 
1
20120121
 
1
20100124
 
1
20210831
 
1

Length

Max length8
Median length4
Mean length4.6153846
Min length4

Unique

Unique4 ?
Unique (%)15.4%

Sample

1st row20151023
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
84.6%
20151023 1
 
3.8%
20120121 1
 
3.8%
20100124 1
 
3.8%
20210831 1
 
3.8%

Length

2024-05-11T03:12:00.791583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:12:01.163553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
84.6%
20151023 1
 
3.8%
20120121 1
 
3.8%
20100124 1
 
3.8%
20210831 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
2024-05-11T03:12:01.689762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.884615
Min length8

Characters and Unicode

Total characters283
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)92.3%

Sample

1st row02-981-5161
2nd row02-903-3232
3rd row02-903-5121
4th row02-986-1313
5th row02-901-1700
ValueCountFrequency (%)
02-992-5200 2
 
7.7%
02-992-5318 1
 
3.8%
02-1670-8875 1
 
3.8%
02-986-0334 1
 
3.8%
029879988 1
 
3.8%
02-982-7080 1
 
3.8%
02-900-7006 1
 
3.8%
6927-9119 1
 
3.8%
02-6222-1000 1
 
3.8%
02-907-7002 1
 
3.8%
Other values (15) 15
57.7%
2024-05-11T03:12:02.763657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
17.7%
- 47
16.6%
2 44
15.5%
9 35
12.4%
8 29
10.2%
1 23
8.1%
7 15
 
5.3%
5 13
 
4.6%
3 12
 
4.2%
6 11
 
3.9%
Other values (2) 4
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 235
83.0%
Dash Punctuation 47
 
16.6%
Math Symbol 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
21.3%
2 44
18.7%
9 35
14.9%
8 29
12.3%
1 23
9.8%
7 15
 
6.4%
5 13
 
5.5%
3 12
 
5.1%
6 11
 
4.7%
4 3
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 283
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50
17.7%
- 47
16.6%
2 44
15.5%
9 35
12.4%
8 29
10.2%
1 23
8.1%
7 15
 
5.3%
5 13
 
4.6%
3 12
 
4.2%
6 11
 
3.9%
Other values (2) 4
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 283
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
17.7%
- 47
16.6%
2 44
15.5%
9 35
12.4%
8 29
10.2%
1 23
8.1%
7 15
 
5.3%
5 13
 
4.6%
3 12
 
4.2%
6 11
 
3.9%
Other values (2) 4
 
1.4%

소재지면적
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing9
Missing (%)34.6%
Infinite0
Infinite (%)0.0%
Mean6618.7235
Minimum232.12
Maximum65284.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T03:12:03.248515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum232.12
5-th percentile621.256
Q11862.79
median2513.21
Q34773.59
95-th percentile19228.83
Maximum65284.43
Range65052.31
Interquartile range (IQR)2910.8

Descriptive statistics

Standard deviation15250.509
Coefficient of variation (CV)2.3041466
Kurtosis16.297343
Mean6618.7235
Median Absolute Deviation (MAD)819.76
Skewness4.0047218
Sum112518.3
Variance2.3257804 × 108
MonotonicityNot monotonic
2024-05-11T03:12:03.760982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1321.0 1
 
3.8%
1914.72 1
 
3.8%
2643.3 1
 
3.8%
1693.45 1
 
3.8%
4773.59 1
 
3.8%
3195.78 1
 
3.8%
1863.63 1
 
3.8%
5381.78 1
 
3.8%
6310.35 1
 
3.8%
718.54 1
 
3.8%
Other values (7) 7
26.9%
(Missing) 9
34.6%
ValueCountFrequency (%)
232.12 1
3.8%
718.54 1
3.8%
1321.0 1
3.8%
1693.45 1
3.8%
1862.79 1
3.8%
1863.63 1
3.8%
1914.72 1
3.8%
2027.0 1
3.8%
2513.21 1
3.8%
2643.3 1
3.8%
ValueCountFrequency (%)
65284.43 1
3.8%
7714.93 1
3.8%
6310.35 1
3.8%
5381.78 1
3.8%
4773.59 1
3.8%
3195.78 1
3.8%
3067.68 1
3.8%
2643.3 1
3.8%
2513.21 1
3.8%
2027.0 1
3.8%

소재지우편번호
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing16
Missing (%)61.5%
Memory size340.0 B
2024-05-11T03:12:04.446917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2
Min length6

Characters and Unicode

Total characters62
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

Unique10 ?
Unique (%)100.0%

Sample

1st row142805
2nd row142812
3rd row142809
4th row142891
5th row142804
ValueCountFrequency (%)
142805 1
10.0%
142812 1
10.0%
142809 1
10.0%
142891 1
10.0%
142804 1
10.0%
142883 1
10.0%
142-883 1
10.0%
142868 1
10.0%
142-878 1
10.0%
142100 1
10.0%
2024-05-11T03:12:05.480668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 13
21.0%
8 13
21.0%
4 11
17.7%
2 11
17.7%
0 5
 
8.1%
9 2
 
3.2%
3 2
 
3.2%
- 2
 
3.2%
5 1
 
1.6%
6 1
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60
96.8%
Dash Punctuation 2
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 13
21.7%
8 13
21.7%
4 11
18.3%
2 11
18.3%
0 5
 
8.3%
9 2
 
3.3%
3 2
 
3.3%
5 1
 
1.7%
6 1
 
1.7%
7 1
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 62
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 13
21.0%
8 13
21.0%
4 11
17.7%
2 11
17.7%
0 5
 
8.1%
9 2
 
3.2%
3 2
 
3.2%
- 2
 
3.2%
5 1
 
1.6%
6 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 13
21.0%
8 13
21.0%
4 11
17.7%
2 11
17.7%
0 5
 
8.1%
9 2
 
3.2%
3 2
 
3.2%
- 2
 
3.2%
5 1
 
1.6%
6 1
 
1.6%

지번주소
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing2
Missing (%)7.7%
Memory size340.0 B
2024-05-11T03:12:06.141651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length24.208333
Min length19

Characters and Unicode

Total characters581
Distinct characters59
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row서울특별시 강북구 미아동 62번지 28호
2nd row서울특별시 강북구 수유동 45번지 7호
3rd row서울특별시 강북구 미아동 304번지 7호
4th row서울특별시 강북구 번동 418번지 1호
5th row서울특별시 강북구 송중동 137번지 26호
ValueCountFrequency (%)
서울특별시 24
19.2%
강북구 24
19.2%
미아동 11
 
8.8%
1호 7
 
5.6%
번동 5
 
4.0%
7호 3
 
2.4%
수유동 3
 
2.4%
304번지 2
 
1.6%
송중동 2
 
1.6%
317번지 2
 
1.6%
Other values (37) 42
33.6%
2024-05-11T03:12:07.362228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
101
 
17.4%
서 28
 
4.8%
울 28
 
4.8%
번 26
 
4.5%
북 25
 
4.3%
시 24
 
4.1%
별 24
 
4.1%
강 24
 
4.1%
구 24
 
4.1%
동 24
 
4.1%
Other values (49) 253
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 364
62.7%
Decimal Number 107
 
18.4%
Space Separator 101
 
17.4%
Dash Punctuation 4
 
0.7%
Other Punctuation 2
 
0.3%
Uppercase Letter 2
 
0.3%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 28
 
7.7%
울 28
 
7.7%
번 26
 
7.1%
북 25
 
6.9%
시 24
 
6.6%
별 24
 
6.6%
강 24
 
6.6%
구 24
 
6.6%
동 24
 
6.6%
특 24
 
6.6%
Other values (33) 113
31.0%
Decimal Number
ValueCountFrequency (%)
1 23
21.5%
4 14
13.1%
7 13
12.1%
3 12
11.2%
6 12
11.2%
8 9
 
8.4%
5 9
 
8.4%
2 8
 
7.5%
0 5
 
4.7%
9 2
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 364
62.7%
Common 215
37.0%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 28
 
7.7%
울 28
 
7.7%
번 26
 
7.1%
북 25
 
6.9%
시 24
 
6.6%
별 24
 
6.6%
강 24
 
6.6%
구 24
 
6.6%
동 24
 
6.6%
특 24
 
6.6%
Other values (33) 113
31.0%
Common
ValueCountFrequency (%)
101
47.0%
1 23
 
10.7%
4 14
 
6.5%
7 13
 
6.0%
3 12
 
5.6%
6 12
 
5.6%
8 9
 
4.2%
5 9
 
4.2%
2 8
 
3.7%
0 5
 
2.3%
Other values (4) 9
 
4.2%
Latin
ValueCountFrequency (%)
B 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 364
62.7%
ASCII 217
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
101
46.5%
1 23
 
10.6%
4 14
 
6.5%
7 13
 
6.0%
3 12
 
5.5%
6 12
 
5.5%
8 9
 
4.1%
5 9
 
4.1%
2 8
 
3.7%
0 5
 
2.3%
Other values (6) 11
 
5.1%
Hangul
ValueCountFrequency (%)
서 28
 
7.7%
울 28
 
7.7%
번 26
 
7.1%
북 25
 
6.9%
시 24
 
6.6%
별 24
 
6.6%
강 24
 
6.6%
구 24
 
6.6%
동 24
 
6.6%
특 24
 
6.6%
Other values (33) 113
31.0%

도로명주소
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T03:12:07.932825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length26.923077
Min length22

Characters and Unicode

Total characters700
Distinct characters70
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

Unique22 ?
Unique (%)84.6%

Sample

1st row서울특별시 강북구 도봉로 67 (미아동)
2nd row서울특별시 강북구 도봉로 301 (수유동, 대한병원)
3rd row서울특별시 강북구 덕릉로 73 (수유동)
4th row서울특별시 강북구 도봉로 181 (미아동)
5th row서울특별시 강북구 삼각산로 58 (수유동, 국립재활원)
ValueCountFrequency (%)
서울특별시 26
18.1%
강북구 26
18.1%
도봉로 17
11.8%
미아동 12
 
8.3%
수유동 8
 
5.6%
번동 6
 
4.2%
한천로 3
 
2.1%
삼각산로 3
 
2.1%
301 2
 
1.4%
1002 2
 
1.4%
Other values (37) 39
27.1%
2024-05-11T03:12:09.105054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
 
16.9%
서 30
 
4.3%
울 30
 
4.3%
북 27
 
3.9%
동 27
 
3.9%
별 26
 
3.7%
시 26
 
3.7%
특 26
 
3.7%
강 26
 
3.7%
구 26
 
3.7%
Other values (60) 338
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 432
61.7%
Space Separator 118
 
16.9%
Decimal Number 80
 
11.4%
Open Punctuation 26
 
3.7%
Close Punctuation 26
 
3.7%
Other Punctuation 15
 
2.1%
Math Symbol 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 30
 
6.9%
울 30
 
6.9%
북 27
 
6.2%
동 27
 
6.2%
별 26
 
6.0%
시 26
 
6.0%
특 26
 
6.0%
강 26
 
6.0%
구 26
 
6.0%
로 26
 
6.0%
Other values (46) 162
37.5%
Decimal Number
ValueCountFrequency (%)
1 20
25.0%
8 10
12.5%
0 10
12.5%
2 9
11.2%
3 9
11.2%
7 7
 
8.8%
5 6
 
7.5%
4 5
 
6.2%
6 4
 
5.0%
Space Separator
ValueCountFrequency (%)
118
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 432
61.7%
Common 268
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 30
 
6.9%
울 30
 
6.9%
북 27
 
6.2%
동 27
 
6.2%
별 26
 
6.0%
시 26
 
6.0%
특 26
 
6.0%
강 26
 
6.0%
구 26
 
6.0%
로 26
 
6.0%
Other values (46) 162
37.5%
Common
ValueCountFrequency (%)
118
44.0%
( 26
 
9.7%
) 26
 
9.7%
1 20
 
7.5%
, 15
 
5.6%
8 10
 
3.7%
0 10
 
3.7%
2 9
 
3.4%
3 9
 
3.4%
7 7
 
2.6%
Other values (4) 18
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 432
61.7%
ASCII 268
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
44.0%
( 26
 
9.7%
) 26
 
9.7%
1 20
 
7.5%
, 15
 
5.6%
8 10
 
3.7%
0 10
 
3.7%
2 9
 
3.4%
3 9
 
3.4%
7 7
 
2.6%
Other values (4) 18
 
6.7%
Hangul
ValueCountFrequency (%)
서 30
 
6.9%
울 30
 
6.9%
북 27
 
6.2%
동 27
 
6.2%
별 26
 
6.0%
시 26
 
6.0%
특 26
 
6.0%
강 26
 
6.0%
구 26
 
6.0%
로 26
 
6.0%
Other values (46) 162
37.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)72.7%
Missing4
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean7560.7727
Minimum1019
Maximum142805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T03:12:09.619863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1019
5-th percentile1023.7
Q11059.25
median1146
Q31171
95-th percentile1230.2
Maximum142805
Range141786
Interquartile range (IQR)111.75

Descriptive statistics

Standard deviation30207.293
Coefficient of variation (CV)3.9952653
Kurtosis21.999761
Mean7560.7727
Median Absolute Deviation (MAD)67
Skewness4.6903792
Sum166337
Variance9.1248055 × 108
MonotonicityNot monotonic
2024-05-11T03:12:10.128475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1170 3
11.5%
1081 2
 
7.7%
1058 2
 
7.7%
1171 2
 
7.7%
1056 2
 
7.7%
1173 1
 
3.8%
1128 1
 
3.8%
1215 1
 
3.8%
1063 1
 
3.8%
1019 1
 
3.8%
Other values (6) 6
23.1%
(Missing) 4
15.4%
ValueCountFrequency (%)
1019 1
 
3.8%
1022 1
 
3.8%
1056 2
7.7%
1058 2
7.7%
1063 1
 
3.8%
1070 1
 
3.8%
1081 2
7.7%
1128 1
 
3.8%
1164 1
 
3.8%
1170 3
11.5%
ValueCountFrequency (%)
142805 1
 
3.8%
1231 1
 
3.8%
1215 1
 
3.8%
1205 1
 
3.8%
1173 1
 
3.8%
1171 2
7.7%
1170 3
11.5%
1164 1
 
3.8%
1128 1
 
3.8%
1081 2
7.7%

사업장명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T03:12:10.844256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length7
Mean length6.5769231
Min length3

Characters and Unicode

Total characters171
Distinct characters59
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row새한병원
2nd row의료법인성화의료재단 대한병원
3rd row신일병원
4th row성신병원
5th row국립재활원
ValueCountFrequency (%)
새한병원 1
 
3.7%
정인노인전문병원 1
 
3.7%
서울유병원 1
 
3.7%
강북으뜸병원 1
 
3.7%
꿈의숲요양병원 1
 
3.7%
강북휴요양병원 1
 
3.7%
북서울요양병원 1
 
3.7%
서울좋은병원 1
 
3.7%
강북우리들병원 1
 
3.7%
새한빛병원 1
 
3.7%
Other values (17) 17
63.0%
2024-05-11T03:12:12.047170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 26
 
15.2%
병 25
 
14.6%
인 7
 
4.1%
한 7
 
4.1%
서 5
 
2.9%
의 5
 
2.9%
울 5
 
2.9%
요 5
 
2.9%
양 5
 
2.9%
료 4
 
2.3%
Other values (49) 77
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169
98.8%
Space Separator 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 26
 
15.4%
병 25
 
14.8%
인 7
 
4.1%
한 7
 
4.1%
서 5
 
3.0%
의 5
 
3.0%
울 5
 
3.0%
요 5
 
3.0%
양 5
 
3.0%
료 4
 
2.4%
Other values (48) 75
44.4%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169
98.8%
Common 2
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 26
 
15.4%
병 25
 
14.8%
인 7
 
4.1%
한 7
 
4.1%
서 5
 
3.0%
의 5
 
3.0%
울 5
 
3.0%
요 5
 
3.0%
양 5
 
3.0%
료 4
 
2.4%
Other values (48) 75
44.4%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169
98.8%
ASCII 2
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 26
 
15.4%
병 25
 
14.8%
인 7
 
4.1%
한 7
 
4.1%
서 5
 
3.0%
의 5
 
3.0%
울 5
 
3.0%
요 5
 
3.0%
양 5
 
3.0%
료 4
 
2.4%
Other values (48) 75
44.4%
ASCII
ValueCountFrequency (%)
2
100.0%

최종수정일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2009-08-04 09:11:09
Maximum2024-04-30 17:40:49
2024-05-11T03:12:12.559036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:12:12.938941image/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
22 
I
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 22
84.6%
I 4
 
15.4%

Length

2024-05-11T03:12:13.320150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:12:13.626832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 22
84.6%
i 4
 
15.4%

데이터갱신일자
Date

Distinct9
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T03:12:13.880532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:12:14.214157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

업태구분명
Categorical

Distinct6
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size340.0 B
병원
14 
요양병원(일반요양병원)
6 
치과병원
2 
한방병원
2 
종합병원
 
1

Length

Max length12
Median length2
Mean length5
Min length2

Unique

Unique2 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
병원 14
53.8%
요양병원(일반요양병원) 6
23.1%
치과병원 2
 
7.7%
한방병원 2
 
7.7%
종합병원 1
 
3.8%
요양병원(노인병원) 1
 
3.8%

Length

2024-05-11T03:12:14.808821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:12:15.289071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 14
53.8%
요양병원(일반요양병원 6
23.1%
치과병원 2
 
7.7%
한방병원 2
 
7.7%
종합병원 1
 
3.8%
요양병원(노인병원 1
 
3.8%

좌표정보(X)
Real number (ℝ)

Distinct21
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202175.09
Minimum200518.73
Maximum203895.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T03:12:15.757007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200518.73
5-th percentile200606.17
Q1201952.09
median202326.01
Q3202541.94
95-th percentile202610.93
Maximum203895.66
Range3376.9287
Interquartile range (IQR)589.84532

Descriptive statistics

Standard deviation697.01001
Coefficient of variation (CV)0.0034475563
Kurtosis2.4238439
Mean202175.09
Median Absolute Deviation (MAD)256.4602
Skewness-0.74363359
Sum5256552.4
Variance485822.95
MonotonicityNot monotonic
2024-05-11T03:12:16.176787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
200518.731280897 2
 
7.7%
202253.635125976 2
 
7.7%
202523.261198591 2
 
7.7%
202582.466293771 2
 
7.7%
201952.090791867 2
 
7.7%
202337.148434207 1
 
3.8%
202541.070832521 1
 
3.8%
202240.855124105 1
 
3.8%
203895.660018622 1
 
3.8%
202314.863753202 1
 
3.8%
Other values (11) 11
42.3%
ValueCountFrequency (%)
200518.731280897 2
7.7%
200868.4734049 1
3.8%
201738.719381809 1
3.8%
201857.42791954 1
3.8%
201930.770048587 1
3.8%
201952.090791867 2
7.7%
202061.252065402 1
3.8%
202240.855124105 1
3.8%
202253.635125976 2
7.7%
202314.863753202 1
3.8%
ValueCountFrequency (%)
203895.660018622 1
3.8%
202615.0 1
3.8%
202598.720031765 1
3.8%
202582.466293771 2
7.7%
202554.585378269 1
3.8%
202542.224535878 1
3.8%
202541.070832521 1
3.8%
202523.261198591 2
7.7%
202451.867599327 1
3.8%
202343.387488819 1
3.8%

좌표정보(Y)
Real number (ℝ)

Distinct21
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean458528.04
Minimum456822
Maximum460020.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T03:12:16.541499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456822
5-th percentile456994.65
Q1457621.27
median458500.39
Q3459570.31
95-th percentile459862.98
Maximum460020.98
Range3198.9817
Interquartile range (IQR)1949.0379

Descriptive statistics

Standard deviation1074.47
Coefficient of variation (CV)0.0023433027
Kurtosis-1.6023099
Mean458528.04
Median Absolute Deviation (MAD)1045.6383
Skewness-0.1394538
Sum11921729
Variance1154485.8
MonotonicityNot monotonic
2024-05-11T03:12:17.138516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
459583.584863602 2
 
7.7%
458066.882224524 2
 
7.7%
457439.209508007 2
 
7.7%
459530.486138019 2
 
7.7%
459227.557988451 2
 
7.7%
457806.819119783 1
 
3.8%
457081.260634815 1
 
3.8%
458118.709572688 1
 
3.8%
457580.999858684 1
 
3.8%
457867.658598331 1
 
3.8%
Other values (11) 11
42.3%
ValueCountFrequency (%)
456822.0 1
3.8%
456978.178605453 1
3.8%
457044.055167975 1
3.8%
457081.260634815 1
3.8%
457439.209508007 2
7.7%
457580.999858684 1
3.8%
457742.089570552 1
3.8%
457806.819119783 1
3.8%
457867.658598331 1
3.8%
458066.882224524 2
7.7%
ValueCountFrequency (%)
460020.981733386 1
3.8%
459895.460348106 1
3.8%
459765.521965024 1
3.8%
459654.425206785 1
3.8%
459614.353526648 1
3.8%
459583.584863602 2
7.7%
459530.486138019 2
7.7%
459227.557988451 2
7.7%
459159.097004897 1
3.8%
458882.073020606 1
3.8%

의료기관종별명
Text

MISSING 

Distinct5
Distinct (%)71.4%
Missing19
Missing (%)73.1%
Memory size340.0 B
2024-05-11T03:12:17.474334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.1428571
Min length2

Characters and Unicode

Total characters36
Distinct characters14
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

Unique4 ?
Unique (%)57.1%

Sample

1st row병원
2nd row병원
3rd row한방병원
4th row치과병원
5th row요양병원(노인병원)
ValueCountFrequency (%)
병원 3
42.9%
한방병원 1
 
14.3%
치과병원 1
 
14.3%
요양병원(노인병원 1
 
14.3%
요양병원(일반요양병원 1
 
14.3%
2024-05-11T03:12:18.230934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
병 9
25.0%
원 9
25.0%
요 3
 
8.3%
양 3
 
8.3%
( 2
 
5.6%
) 2
 
5.6%
한 1
 
2.8%
방 1
 
2.8%
치 1
 
2.8%
과 1
 
2.8%
Other values (4) 4
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32
88.9%
Open Punctuation 2
 
5.6%
Close Punctuation 2
 
5.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
병 9
28.1%
원 9
28.1%
요 3
 
9.4%
양 3
 
9.4%
한 1
 
3.1%
방 1
 
3.1%
치 1
 
3.1%
과 1
 
3.1%
노 1
 
3.1%
인 1
 
3.1%
Other values (2) 2
 
6.2%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32
88.9%
Common 4
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
병 9
28.1%
원 9
28.1%
요 3
 
9.4%
양 3
 
9.4%
한 1
 
3.1%
방 1
 
3.1%
치 1
 
3.1%
과 1
 
3.1%
노 1
 
3.1%
인 1
 
3.1%
Other values (2) 2
 
6.2%
Common
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32
88.9%
ASCII 4
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
병 9
28.1%
원 9
28.1%
요 3
 
9.4%
양 3
 
9.4%
한 1
 
3.1%
방 1
 
3.1%
치 1
 
3.1%
과 1
 
3.1%
노 1
 
3.1%
인 1
 
3.1%
Other values (2) 2
 
6.2%
ASCII
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

의료인수
Categorical

Distinct6
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
19 
5
2 
13
2 
22
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.3076923
Min length1

Unique

Unique3 ?
Unique (%)11.5%

Sample

1st row22
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 19
73.1%
5 2
 
7.7%
13 2
 
7.7%
22 1
 
3.8%
3 1
 
3.8%
4 1
 
3.8%

Length

2024-05-11T03:12:18.762308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:12:19.120575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
73.1%
5 2
 
7.7%
13 2
 
7.7%
22 1
 
3.8%
3 1
 
3.8%
4 1
 
3.8%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)85.7%
Missing19
Missing (%)73.1%
Infinite0
Infinite (%)0.0%
Mean16.857143
Minimum0
Maximum41
Zeros1
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T03:12:19.430819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q17
median16
Q323.5
95-th percentile36.2
Maximum41
Range41
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation13.873579
Coefficient of variation (CV)0.82300892
Kurtosis0.19884092
Mean16.857143
Median Absolute Deviation (MAD)9
Skewness0.70270514
Sum118
Variance192.47619
MonotonicityNot monotonic
2024-05-11T03:12:19.736791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
7 2
 
7.7%
41 1
 
3.8%
25 1
 
3.8%
0 1
 
3.8%
16 1
 
3.8%
22 1
 
3.8%
(Missing) 19
73.1%
ValueCountFrequency (%)
0 1
3.8%
7 2
7.7%
16 1
3.8%
22 1
3.8%
25 1
3.8%
41 1
3.8%
ValueCountFrequency (%)
41 1
3.8%
25 1
3.8%
22 1
3.8%
16 1
3.8%
7 2
7.7%
0 1
3.8%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)85.7%
Missing19
Missing (%)73.1%
Infinite0
Infinite (%)0.0%
Mean68.714286
Minimum0
Maximum147
Zeros1
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T03:12:20.071091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q135
median66
Q399
95-th percentile132.6
Maximum147
Range147
Interquartile range (IQR)64

Descriptive statistics

Standard deviation50.025708
Coefficient of variation (CV)0.72802485
Kurtosis-0.5966297
Mean68.714286
Median Absolute Deviation (MAD)33
Skewness0.2407617
Sum481
Variance2502.5714
MonotonicityNot monotonic
2024-05-11T03:12:20.421573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99 2
 
7.7%
66 1
 
3.8%
30 1
 
3.8%
0 1
 
3.8%
40 1
 
3.8%
147 1
 
3.8%
(Missing) 19
73.1%
ValueCountFrequency (%)
0 1
3.8%
30 1
3.8%
40 1
3.8%
66 1
3.8%
99 2
7.7%
147 1
3.8%
ValueCountFrequency (%)
147 1
3.8%
99 2
7.7%
66 1
3.8%
40 1
3.8%
30 1
3.8%
0 1
3.8%

총면적
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing19
Missing (%)73.1%
Infinite0
Infinite (%)0.0%
Mean1151.6529
Minimum320.57
Maximum2517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T03:12:20.755495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum320.57
5-th percentile329.297
Q1534.1
median964.74
Q31595.53
95-th percentile2296.014
Maximum2517
Range2196.43
Interquartile range (IQR)1061.43

Descriptive statistics

Standard deviation804.46464
Coefficient of variation (CV)0.69853049
Kurtosis-0.31563904
Mean1151.6529
Median Absolute Deviation (MAD)615.08
Skewness0.73211543
Sum8061.57
Variance647163.35
MonotonicityNot monotonic
2024-05-11T03:12:21.215759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2517.0 1
 
3.8%
964.74 1
 
3.8%
349.66 1
 
3.8%
320.57 1
 
3.8%
718.54 1
 
3.8%
1410.68 1
 
3.8%
1780.38 1
 
3.8%
(Missing) 19
73.1%
ValueCountFrequency (%)
320.57 1
3.8%
349.66 1
3.8%
718.54 1
3.8%
964.74 1
3.8%
1410.68 1
3.8%
1780.38 1
3.8%
2517.0 1
3.8%
ValueCountFrequency (%)
2517.0 1
3.8%
1780.38 1
3.8%
1410.68 1
3.8%
964.74 1
3.8%
718.54 1
3.8%
349.66 1
3.8%
320.57 1
3.8%

진료과목내용
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing19
Missing (%)73.1%
Memory size340.0 B
2024-05-11T03:12:21.623568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length23
Mean length21.285714
Min length7

Characters and Unicode

Total characters149
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

Unique7 ?
Unique (%)100.0%

Sample

1st row101 104 105 106 122 108 109 116
2nd row101 104 105 114
3rd row301 302 303 304 305 308
4th row201 202 203 204 205 206 207 208 209 210
5th row101 102
ValueCountFrequency (%)
101 5
 
12.8%
122 3
 
7.7%
105 2
 
5.1%
102 2
 
5.1%
109 2
 
5.1%
301 2
 
5.1%
104 2
 
5.1%
308 2
 
5.1%
203 1
 
2.6%
210 1
 
2.6%
Other values (17) 17
43.6%
2024-05-11T03:12:23.008845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 34
22.8%
1 32
21.5%
32
21.5%
2 20
13.4%
3 11
 
7.4%
4 5
 
3.4%
5 4
 
2.7%
8 4
 
2.7%
6 3
 
2.0%
9 3
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 117
78.5%
Space Separator 32
 
21.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 34
29.1%
1 32
27.4%
2 20
17.1%
3 11
 
9.4%
4 5
 
4.3%
5 4
 
3.4%
8 4
 
3.4%
6 3
 
2.6%
9 3
 
2.6%
7 1
 
0.9%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 149
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 34
22.8%
1 32
21.5%
32
21.5%
2 20
13.4%
3 11
 
7.4%
4 5
 
3.4%
5 4
 
2.7%
8 4
 
2.7%
6 3
 
2.0%
9 3
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 149
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 34
22.8%
1 32
21.5%
32
21.5%
2 20
13.4%
3 11
 
7.4%
4 5
 
3.4%
5 4
 
2.7%
8 4
 
2.7%
6 3
 
2.0%
9 3
 
2.0%

진료과목내용명
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing19
Missing (%)73.1%
Memory size340.0 B
2024-05-11T03:12:23.744634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length34
Mean length34
Min length7

Characters and Unicode

Total characters238
Distinct characters48
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st row내과, 외과, 정형외과, 신경외과, 성형외과, 마취통증의학과, 영상의학과, 가정의학과
2nd row내과, 외과, 정형외과, 피부과
3rd row한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 침구과
4th row구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 구강악안면방사선과, 구강병리과, 예방치과
5th row내과, 신경과
ValueCountFrequency (%)
내과 5
 
12.8%
가정의학과 3
 
7.7%
정형외과 2
 
5.1%
신경과 2
 
5.1%
마취통증의학과 2
 
5.1%
한방내과 2
 
5.1%
외과 2
 
5.1%
침구과 2
 
5.1%
치과교정과 1
 
2.6%
예방치과 1
 
2.6%
Other values (17) 17
43.6%
2024-05-11T03:12:25.047887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 42
17.6%
, 32
 
13.4%
32
 
13.4%
정 8
 
3.4%
방 8
 
3.4%
내 8
 
3.4%
학 7
 
2.9%
외 7
 
2.9%
의 7
 
2.9%
치 6
 
2.5%
Other values (38) 81
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172
72.3%
Other Punctuation 34
 
14.3%
Space Separator 32
 
13.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 42
24.4%
정 8
 
4.7%
방 8
 
4.7%
내 8
 
4.7%
학 7
 
4.1%
외 7
 
4.1%
의 7
 
4.1%
치 6
 
3.5%
한 6
 
3.5%
신 6
 
3.5%
Other values (35) 67
39.0%
Other Punctuation
ValueCountFrequency (%)
, 32
94.1%
? 2
 
5.9%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172
72.3%
Common 66
 
27.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 42
24.4%
정 8
 
4.7%
방 8
 
4.7%
내 8
 
4.7%
학 7
 
4.1%
외 7
 
4.1%
의 7
 
4.1%
치 6
 
3.5%
한 6
 
3.5%
신 6
 
3.5%
Other values (35) 67
39.0%
Common
ValueCountFrequency (%)
, 32
48.5%
32
48.5%
? 2
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172
72.3%
ASCII 66
 
27.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 42
24.4%
정 8
 
4.7%
방 8
 
4.7%
내 8
 
4.7%
학 7
 
4.1%
외 7
 
4.1%
의 7
 
4.1%
치 6
 
3.5%
한 6
 
3.5%
신 6
 
3.5%
Other values (35) 67
39.0%
ASCII
ValueCountFrequency (%)
, 32
48.5%
32
48.5%
? 2
 
3.0%

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>
19 
0
7 

Length

Max length4
Median length4
Mean length3.1923077
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
73.1%
0 7
 
26.9%

Length

2024-05-11T03:12:25.587676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:12:26.033967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
73.1%
0 7
 
26.9%

구급차일반
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
19 
0
7 

Length

Max length4
Median length4
Mean length3.1923077
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
73.1%
0 7
 
26.9%

Length

2024-05-11T03:12:26.740953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:12:27.176200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
73.1%
0 7
 
26.9%

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>
19 
0
7 

Length

Max length4
Median length4
Mean length3.1923077
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
73.1%
0 7
 
26.9%

Length

2024-05-11T03:12:27.870813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:12:28.233005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
73.1%
0 7
 
26.9%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03080000PHMA21981308003302120000119810209<NA>3폐업3폐업201412022014102320151023<NA>02-981-5161<NA>142805서울특별시 강북구 미아동 62번지 28호서울특별시 강북구 도봉로 67 (미아동)142805새한병원2020-02-04 15:38:17U2020-02-06 02:40:00.0병원202542.224536456978.178605병원2241992517.0101 104 105 106 122 108 109 116내과, 외과, 정형외과, 신경외과, 성형외과, 마취통증의학과, 영상의학과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
13080000PHMA2198230800330212000011982-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-903-32326310.35<NA>서울특별시 강북구 수유동 45번지 7호서울특별시 강북구 도봉로 301 (수유동, 대한병원)1081의료법인성화의료재단 대한병원2024-03-20 09:33:37U2023-12-02 22:02:00.0종합병원201952.090792459227.557988<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23080000PHMA2198230800330212000021982-05-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-903-51211321.0<NA><NA>서울특별시 강북구 덕릉로 73 (수유동)1081신일병원2024-04-30 17:40:49U2023-12-05 00:02:00.0병원201857.42792459159.097005<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33080000PHMA21992308003302120000119920411<NA>3폐업3폐업20211230<NA><NA><NA>02-986-1313<NA>142812서울특별시 강북구 미아동 304번지 7호서울특별시 강북구 도봉로 181 (미아동)1170성신병원2022-05-16 09:36:12U2021-12-04 23:08:00.0병원202253.635126458066.882225<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43080000PHMA2199430800330212000011994-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-901-170065284.43<NA><NA>서울특별시 강북구 삼각산로 58 (수유동, 국립재활원)1022국립재활원2024-03-20 09:34:44U2023-12-02 22:02:00.0병원200868.473405459614.353527<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53080000PHMA2199530800330212000011995-07-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-996-2828232.12<NA>서울특별시 강북구 번동 418번지 1호서울특별시 강북구 도봉로 358 (번동, 코스타타워)1063경희치과병원2023-10-04 21:39:10U2022-10-31 00:06:00.0치과병원202343.387489459654.425207<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63080000PHMA21998308003302120000119981015<NA>3폐업3폐업20140729<NA><NA><NA>02-980-1181<NA>142809서울특별시 강북구 송중동 137번지 26호서울특별시 강북구 도봉로 114 (미아동)<NA>서울병원2017-07-20 11:14:50I2018-08-31 23:59:59.0병원202523.261199457439.209508병원52566964.74101 104 105 114내과, 외과, 정형외과, 피부과<NA><NA><NA>00<NA><NA>0<NA>
73080000PHMA22001308003302120000120010306<NA>3폐업3폐업201201212011072220120121<NA>02-995-1025<NA>142891서울특별시 강북구 인수동 45번지 7호서울특별시 강북구 도봉로 301 (수유동)<NA>의료법인성화의료재단대한한방병원2015-06-24 13:34:08I2018-08-31 23:59:59.0한방병원201952.090792459227.557988한방병원3730349.66301 302 303 304 305 308한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
83080000PHMA22001308003302120000220010528<NA>3폐업3폐업20100625<NA><NA><NA>02-981-2807<NA>142804서울특별시 강북구 송중동 71번지 1호서울특별시 강북구 도봉로 52 (미아동)<NA>밀레니엄치과병원2010-06-25 11:41:52I2018-08-31 23:59:59.0치과병원202615.0456822.0치과병원400320.57201 202 203 204 205 206 207 208 209 210구강악안면외과, 치과보철과, 치과교정과, 소아치과, 치주과, 치과보존과, 구강내과, 구강악안면방사선과, 구강병리과, 예방치과<NA><NA><NA>00<NA><NA>0<NA>
93080000PHMA2200430800330212000012004-10-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-983-77712027.0<NA>서울특별시 강북구 미아동 67번지 1호서울특별시 강북구 도봉로 74 (미아동)1215햇빛병원2024-03-20 09:32:29U2023-12-02 22:02:00.0병원202598.720032457044.055168<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
163080000PHMA2201030800330212000012010-03-24<NA>1영업/정상13영업중<NA><NA><NA><NA>158868537714.93<NA>서울특별시 강북구 번동 463번지 44호서울특별시 강북구 도봉로 374 (번동, 서울현대병원)1056서울현대병원2024-03-20 09:34:26U2023-12-02 22:02:00.0병원202451.867599459765.521965<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
173080000PHMA22011308003302120000120110211<NA>3폐업3폐업20151215<NA><NA><NA>02-907-7002<NA>142868서울특별시 강북구 번1동 461번지 68호서울특별시 강북구 한천로 1002 (번동)1058새한빛병원2019-08-29 14:50:03U2019-08-31 02:40:00.0병원202582.466294459530.486138병원13221471780.38101 103 122내과, 정신건강의학과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
183080000PHMA2201230800330212000012012-10-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6222-10005381.78142-878서울특별시 강북구 수유동 188번지 1호 광산타워서울특별시 강북구 한천로 1083, 수유동 (수유동, 광산타워)1070강북우리들병원2024-03-20 09:33:28U2023-12-02 22:02:00.0병원201930.770049460020.981733<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193080000PHMA22014308003302120000120141121<NA>3폐업3폐업202108312021072820210831<NA>6927-9119<NA>142100서울특별시 강북구 미아동 137번지 26호서울특별시 강북구 도봉로 114 (미아동)1164서울좋은병원2022-05-16 09:27:30U2021-12-04 23:08:00.0병원202523.261199457439.209508<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203080000PHMA2201630800330212000012016-12-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-900-70061863.63<NA>서울특별시 강북구 번동 461-68 북서울요양병원서울특별시 강북구 한천로 1002, 북서울요양병원 (번동)1058북서울요양병원2024-03-20 09:33:53U2023-12-02 22:02:00.0요양병원(일반요양병원)202582.466294459530.486138<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213080000PHMA2201830800330212000012018-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-982-70803195.78<NA>서울특별시 강북구 미아동 317번지 1호 서울컨벤션웨딩홀서울특별시 강북구 도봉로 161, 서울컨벤션웨딩홀 (미아동)1171강북휴요양병원2024-03-20 09:31:20U2023-12-02 22:02:00.0요양병원(일반요양병원)202314.863753457867.658598<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223080000PHMA2201930800330212000012019-10-15<NA>1영업/정상13영업중<NA><NA><NA><NA>0298799884773.59<NA>서울특별시 강북구 번동 105번지 1호서울특별시 강북구 월계로 183 (번동)1231꿈의숲요양병원2024-03-20 09:34:35U2023-12-02 22:02:00.0요양병원(일반요양병원)203895.660019457580.999859<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233080000PHMA2202030800330212000012020-03-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-986-03341693.45<NA>서울특별시 강북구 미아동 304번지 3호 지하1층, 2층~5층서울특별시 강북구 도봉로 187, 지하1층, 2층~5층 (미아동)1170강북으뜸병원2024-03-20 09:31:57U2023-12-02 22:02:00.0병원202240.855124458118.709573<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243080000PHMA2202030800330212000022020-08-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1670-88752643.3<NA>서울특별시 강북구 미아동 62-38 서울유병원BK빌딩서울특별시 강북구 도봉로 77, 지하2층~지하1층, 3층~8층층 (미아동)1205서울유병원2024-03-20 09:32:13U2023-12-02 22:02:00.0병원202541.070833457081.260635<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253080000PHMA2202230800330212000012022-04-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-985-75821914.72<NA>서울특별시 강북구 미아동 304-7서울특별시 강북구 도봉로 181(미아동)1170경희황소한방병원2024-03-20 09:31:42U2023-12-02 22:02:00.0한방병원202253.635126458066.882225<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>