Overview

Dataset statistics

Number of variables41
Number of observations36
Missing cells537
Missing cells (%)36.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.5 KiB
Average record size in memory355.7 B

Variable types

Categorical13
Text8
DateTime4
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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-16169/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (81.7%)Imbalance
휴업종료일자 is highly imbalanced (81.7%)Imbalance
인허가취소일자 has 36 (100.0%) missing valuesMissing
폐업일자 has 21 (58.3%) missing valuesMissing
재개업일자 has 36 (100.0%) missing valuesMissing
소재지면적 has 23 (63.9%) missing valuesMissing
소재지우편번호 has 21 (58.3%) missing valuesMissing
지번주소 has 9 (25.0%) missing valuesMissing
도로명주소 has 6 (16.7%) missing valuesMissing
도로명우편번호 has 7 (19.4%) missing valuesMissing
좌표정보(X) has 6 (16.7%) missing valuesMissing
좌표정보(Y) has 6 (16.7%) missing valuesMissing
의료인수 has 25 (69.4%) missing valuesMissing
입원실수 has 25 (69.4%) missing valuesMissing
병상수 has 25 (69.4%) missing valuesMissing
총면적 has 25 (69.4%) missing valuesMissing
진료과목내용 has 25 (69.4%) missing valuesMissing
진료과목내용명 has 25 (69.4%) missing valuesMissing
지정취소일자 has 36 (100.0%) missing valuesMissing
완화의료지정형태 has 36 (100.0%) missing valuesMissing
완화의료담당부서명 has 36 (100.0%) missing valuesMissing
총인원 has 36 (100.0%) missing valuesMissing
구조사수 has 36 (100.0%) missing valuesMissing
최초지정일자 has 36 (100.0%) missing valuesMissing
관리번호 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 (5.6%) zerosZeros
병상수 has 2 (5.6%) zerosZeros

Reproduction

Analysis started2024-04-29 18:54:42.169114
Analysis finished2024-04-29 18:54:42.934603
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
3100000
36 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 36
100.0%

Length

2024-04-30T03:54:43.005470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:43.078975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 36
100.0%

관리번호
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-04-30T03:54:43.213967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters900
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

Unique36 ?
Unique (%)100.0%

Sample

1st rowPHMA219853100034021200001
2nd rowPHMA219893100034021200001
3rd rowPHMA219953100034021200001
4th rowPHMA219953100034021200002
5th rowPHMA219973100034021200001
ValueCountFrequency (%)
phma219853100034021200001 1
 
2.8%
phma219893100034021200001 1
 
2.8%
phma220163100034021200001 1
 
2.8%
phma220113100034021200001 1
 
2.8%
phma220123100034021200001 1
 
2.8%
phma220133100034021200001 1
 
2.8%
phma220133100034021200002 1
 
2.8%
phma220143100034021200001 1
 
2.8%
phma220153100034021200001 1
 
2.8%
phma220163100034021200002 1
 
2.8%
Other values (26) 26
72.2%
2024-04-30T03:54:43.494950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 334
37.1%
2 158
17.6%
1 115
 
12.8%
3 77
 
8.6%
4 38
 
4.2%
P 36
 
4.0%
H 36
 
4.0%
M 36
 
4.0%
A 36
 
4.0%
9 13
 
1.4%
Other values (4) 21
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 756
84.0%
Uppercase Letter 144
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 334
44.2%
2 158
20.9%
1 115
 
15.2%
3 77
 
10.2%
4 38
 
5.0%
9 13
 
1.7%
5 7
 
0.9%
8 6
 
0.8%
7 4
 
0.5%
6 4
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 36
25.0%
H 36
25.0%
M 36
25.0%
A 36
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 756
84.0%
Latin 144
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 334
44.2%
2 158
20.9%
1 115
 
15.2%
3 77
 
10.2%
4 38
 
5.0%
9 13
 
1.7%
5 7
 
0.9%
8 6
 
0.8%
7 4
 
0.5%
6 4
 
0.5%
Latin
ValueCountFrequency (%)
P 36
25.0%
H 36
25.0%
M 36
25.0%
A 36
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 334
37.1%
2 158
17.6%
1 115
 
12.8%
3 77
 
8.6%
4 38
 
4.2%
P 36
 
4.0%
H 36
 
4.0%
M 36
 
4.0%
A 36
 
4.0%
9 13
 
1.4%
Other values (4) 21
 
2.3%

인허가일자
Date

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum1985-11-29 00:00:00
Maximum2023-02-01 00:00:00
2024-04-30T03:54:43.614703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:54:43.714589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
1
21 
3
14 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 21
58.3%
3 14
38.9%
4 1
 
2.8%

Length

2024-04-30T03:54:43.814600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:43.906406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
58.3%
3 14
38.9%
4 1
 
2.8%

영업상태명
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
영업/정상
21 
폐업
14 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.0833333
Min length2

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 21
58.3%
폐업 14
38.9%
취소/말소/만료/정지/중지 1
 
2.8%

Length

2024-04-30T03:54:44.002704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:44.089515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 21
58.3%
폐업 14
38.9%
취소/말소/만료/정지/중지 1
 
2.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
13
21 
3
14 
24
 
1

Length

Max length2
Median length2
Mean length1.6111111
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
13 21
58.3%
3 14
38.9%
24 1
 
2.8%

Length

2024-04-30T03:54:44.172168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:44.249058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 21
58.3%
3 14
38.9%
24 1
 
2.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
영업중
21 
폐업
14 
직권폐업
 
1

Length

Max length4
Median length3
Mean length2.6388889
Min length2

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 21
58.3%
폐업 14
38.9%
직권폐업 1
 
2.8%

Length

2024-04-30T03:54:44.346051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:44.445584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 21
58.3%
폐업 14
38.9%
직권폐업 1
 
2.8%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)100.0%
Missing21
Missing (%)58.3%
Memory size420.0 B
Minimum2001-08-30 00:00:00
Maximum2023-10-30 00:00:00
2024-04-30T03:54:44.523063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:54:44.609636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
35 
20190228
 
1

Length

Max length8
Median length4
Mean length4.1111111
Min length4

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
97.2%
20190228 1
 
2.8%

Length

2024-04-30T03:54:44.728110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:44.830773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
97.2%
20190228 1
 
2.8%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
35 
20190527
 
1

Length

Max length8
Median length4
Mean length4.1111111
Min length4

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
97.2%
20190527 1
 
2.8%

Length

2024-04-30T03:54:44.922049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:45.013582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
97.2%
20190527 1
 
2.8%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

전화번호
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-04-30T03:54:45.165077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length9.9722222
Min length8

Characters and Unicode

Total characters359
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

Unique32 ?
Unique (%)88.9%

Sample

1st row02-970-2114
2nd row02-950-1114
3rd row02-970-8000
4th row914-2000
5th row9700-910
ValueCountFrequency (%)
914-2000 2
 
5.6%
938-2833 2
 
5.6%
02-941-7800 1
 
2.8%
02-949-1075 1
 
2.8%
02-934-1300 1
 
2.8%
02-930-2841 1
 
2.8%
029388540 1
 
2.8%
949-3000 1
 
2.8%
02-1899-9899 1
 
2.8%
02-2092-5505 1
 
2.8%
Other values (24) 24
66.7%
2024-04-30T03:54:45.440359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 67
18.7%
- 55
15.3%
9 49
13.6%
2 42
11.7%
3 33
9.2%
1 26
 
7.2%
7 21
 
5.8%
8 19
 
5.3%
5 19
 
5.3%
4 16
 
4.5%
Other values (2) 12
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 303
84.4%
Dash Punctuation 55
 
15.3%
Math Symbol 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 67
22.1%
9 49
16.2%
2 42
13.9%
3 33
10.9%
1 26
 
8.6%
7 21
 
6.9%
8 19
 
6.3%
5 19
 
6.3%
4 16
 
5.3%
6 11
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 359
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 67
18.7%
- 55
15.3%
9 49
13.6%
2 42
11.7%
3 33
9.2%
1 26
 
7.2%
7 21
 
5.8%
8 19
 
5.3%
5 19
 
5.3%
4 16
 
4.5%
Other values (2) 12
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 359
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 67
18.7%
- 55
15.3%
9 49
13.6%
2 42
11.7%
3 33
9.2%
1 26
 
7.2%
7 21
 
5.8%
8 19
 
5.3%
5 19
 
5.3%
4 16
 
4.5%
Other values (2) 12
 
3.3%

소재지면적
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing23
Missing (%)63.9%
Infinite0
Infinite (%)0.0%
Mean17473.947
Minimum155.8
Maximum97157.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-30T03:54:45.550696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum155.8
5-th percentile1085.32
Q11999.5
median2292.04
Q35479.6
95-th percentile77467.612
Maximum97157.2
Range97001.4
Interquartile range (IQR)3480.1

Descriptive statistics

Standard deviation30871.404
Coefficient of variation (CV)1.7667104
Kurtosis3.0608585
Mean17473.947
Median Absolute Deviation (MAD)595.03
Skewness1.9692687
Sum227161.31
Variance9.5304358 × 108
MonotonicityNot monotonic
2024-04-30T03:54:45.638815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
97157.2 1
 
2.8%
41878.45 1
 
2.8%
64341.22 1
 
2.8%
2292.04 1
 
2.8%
2887.07 1
 
2.8%
1999.5 1
 
2.8%
1956.52 1
 
2.8%
3080.39 1
 
2.8%
5479.6 1
 
2.8%
2177.84 1
 
2.8%
Other values (3) 3
 
8.3%
(Missing) 23
63.9%
ValueCountFrequency (%)
155.8 1
2.8%
1705.0 1
2.8%
1956.52 1
2.8%
1999.5 1
2.8%
2050.68 1
2.8%
2177.84 1
2.8%
2292.04 1
2.8%
2887.07 1
2.8%
3080.39 1
2.8%
5479.6 1
2.8%
ValueCountFrequency (%)
97157.2 1
2.8%
64341.22 1
2.8%
41878.45 1
2.8%
5479.6 1
2.8%
3080.39 1
2.8%
2887.07 1
2.8%
2292.04 1
2.8%
2177.84 1
2.8%
2050.68 1
2.8%
1999.5 1
2.8%

소재지우편번호
Text

MISSING 

Distinct12
Distinct (%)80.0%
Missing21
Missing (%)58.3%
Memory size420.0 B
2024-04-30T03:54:45.779185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.4
Min length6

Characters and Unicode

Total characters96
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)66.7%

Sample

1st row139841
2nd row139241
3rd row139201
4th row139207
5th row139243
ValueCountFrequency (%)
139-816 3
20.0%
139841 2
13.3%
139241 1
 
6.7%
139201 1
 
6.7%
139207 1
 
6.7%
139243 1
 
6.7%
139-942 1
 
6.7%
139206 1
 
6.7%
139-808 1
 
6.7%
139837 1
 
6.7%
Other values (2) 2
13.3%
2024-04-30T03:54:46.010155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 23
24.0%
3 17
17.7%
9 16
16.7%
8 9
 
9.4%
2 7
 
7.3%
- 6
 
6.2%
0 6
 
6.2%
6 5
 
5.2%
4 5
 
5.2%
7 2
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90
93.8%
Dash Punctuation 6
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 23
25.6%
3 17
18.9%
9 16
17.8%
8 9
 
10.0%
2 7
 
7.8%
0 6
 
6.7%
6 5
 
5.6%
4 5
 
5.6%
7 2
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 23
24.0%
3 17
17.7%
9 16
16.7%
8 9
 
9.4%
2 7
 
7.3%
- 6
 
6.2%
0 6
 
6.2%
6 5
 
5.2%
4 5
 
5.2%
7 2
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 23
24.0%
3 17
17.7%
9 16
16.7%
8 9
 
9.4%
2 7
 
7.3%
- 6
 
6.2%
0 6
 
6.2%
6 5
 
5.2%
4 5
 
5.2%
7 2
 
2.1%

지번주소
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing9
Missing (%)25.0%
Memory size420.0 B
2024-04-30T03:54:46.211096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length31
Mean length28.259259
Min length19

Characters and Unicode

Total characters763
Distinct characters70
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row서울특별시 노원구 월계1동50-1,30호
2nd row서울특별시 노원구 공릉1동680-9
3rd row서울특별시 노원구 상계1동산51번지
4th row서울특별시 노원구 상계7동727-1 8층
5th row서울특별시 노원구 공릉동 680-9 태릉성심요양병원
ValueCountFrequency (%)
서울특별시 27
17.9%
노원구 27
17.9%
상계동 15
 
9.9%
1호 4
 
2.6%
공릉동 3
 
2.0%
5층 3
 
2.0%
12호 2
 
1.3%
파로스병원 2
 
1.3%
3층 2
 
1.3%
와우쇼핑몰 2
 
1.3%
Other values (55) 64
42.4%
2024-04-30T03:54:46.531746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
 
16.4%
1 35
 
4.6%
원 32
 
4.2%
동 29
 
3.8%
노 28
 
3.7%
울 27
 
3.5%
구 27
 
3.5%
서 27
 
3.5%
시 27
 
3.5%
특 27
 
3.5%
Other values (60) 379
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 441
57.8%
Decimal Number 162
 
21.2%
Space Separator 125
 
16.4%
Other Punctuation 19
 
2.5%
Dash Punctuation 12
 
1.6%
Math Symbol 2
 
0.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 32
 
7.3%
동 29
 
6.6%
노 28
 
6.3%
울 27
 
6.1%
구 27
 
6.1%
서 27
 
6.1%
시 27
 
6.1%
특 27
 
6.1%
별 27
 
6.1%
계 23
 
5.2%
Other values (43) 167
37.9%
Decimal Number
ValueCountFrequency (%)
1 35
21.6%
3 26
16.0%
2 22
13.6%
6 18
11.1%
0 15
9.3%
7 13
 
8.0%
5 10
 
6.2%
8 8
 
4.9%
4 8
 
4.9%
9 7
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 18
94.7%
. 1
 
5.3%
Space Separator
ValueCountFrequency (%)
125
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 441
57.8%
Common 322
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 32
 
7.3%
동 29
 
6.6%
노 28
 
6.3%
울 27
 
6.1%
구 27
 
6.1%
서 27
 
6.1%
시 27
 
6.1%
특 27
 
6.1%
별 27
 
6.1%
계 23
 
5.2%
Other values (43) 167
37.9%
Common
ValueCountFrequency (%)
125
38.8%
1 35
 
10.9%
3 26
 
8.1%
2 22
 
6.8%
6 18
 
5.6%
, 18
 
5.6%
0 15
 
4.7%
7 13
 
4.0%
- 12
 
3.7%
5 10
 
3.1%
Other values (7) 28
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 441
57.8%
ASCII 322
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
38.8%
1 35
 
10.9%
3 26
 
8.1%
2 22
 
6.8%
6 18
 
5.6%
, 18
 
5.6%
0 15
 
4.7%
7 13
 
4.0%
- 12
 
3.7%
5 10
 
3.1%
Other values (7) 28
 
8.7%
Hangul
ValueCountFrequency (%)
원 32
 
7.3%
동 29
 
6.6%
노 28
 
6.3%
울 27
 
6.1%
구 27
 
6.1%
서 27
 
6.1%
시 27
 
6.1%
특 27
 
6.1%
별 27
 
6.1%
계 23
 
5.2%
Other values (43) 167
37.9%

도로명주소
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing6
Missing (%)16.7%
Memory size420.0 B
2024-04-30T03:54:46.747029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length32.366667
Min length22

Characters and Unicode

Total characters971
Distinct characters95
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row서울특별시 노원구 노원로 75, 한국원자력의학원 (공릉동)
2nd row서울특별시 노원구 동일로 1342, 상계백병원 (상계동)
3rd row서울특별시 노원구 한글비석로 68, 을지병원 (하계동)
4th row서울특별시 노원구 동일로 987, 태릉성심요양병원 (공릉동)
5th row서울특별시 노원구 노해로81길 5-6, 노원스퀘어 5-7층 (상계동)
ValueCountFrequency (%)
서울특별시 30
16.0%
노원구 30
16.0%
상계동 16
 
8.5%
노원로 9
 
4.8%
동일로 8
 
4.3%
공릉동 8
 
4.3%
노해로 4
 
2.1%
2층 3
 
1.6%
987 3
 
1.6%
5층 3
 
1.6%
Other values (62) 74
39.4%
2024-04-30T03:54:47.072478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
 
16.3%
원 50
 
5.1%
, 49
 
5.0%
노 45
 
4.6%
동 41
 
4.2%
로 32
 
3.3%
서 30
 
3.1%
( 30
 
3.1%
) 30
 
3.1%
울 30
 
3.1%
Other values (85) 476
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 560
57.7%
Space Separator 158
 
16.3%
Decimal Number 140
 
14.4%
Other Punctuation 49
 
5.0%
Open Punctuation 30
 
3.1%
Close Punctuation 30
 
3.1%
Math Symbol 2
 
0.2%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 50
 
8.9%
노 45
 
8.0%
동 41
 
7.3%
로 32
 
5.7%
서 30
 
5.4%
울 30
 
5.4%
구 30
 
5.4%
시 30
 
5.4%
별 30
 
5.4%
특 30
 
5.4%
Other values (69) 212
37.9%
Decimal Number
ValueCountFrequency (%)
1 20
14.3%
4 19
13.6%
6 16
11.4%
2 15
10.7%
5 14
10.0%
7 13
9.3%
9 13
9.3%
3 13
9.3%
8 11
7.9%
0 6
 
4.3%
Space Separator
ValueCountFrequency (%)
158
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 560
57.7%
Common 411
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 50
 
8.9%
노 45
 
8.0%
동 41
 
7.3%
로 32
 
5.7%
서 30
 
5.4%
울 30
 
5.4%
구 30
 
5.4%
시 30
 
5.4%
별 30
 
5.4%
특 30
 
5.4%
Other values (69) 212
37.9%
Common
ValueCountFrequency (%)
158
38.4%
, 49
 
11.9%
( 30
 
7.3%
) 30
 
7.3%
1 20
 
4.9%
4 19
 
4.6%
6 16
 
3.9%
2 15
 
3.6%
5 14
 
3.4%
7 13
 
3.2%
Other values (6) 47
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 560
57.7%
ASCII 411
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
38.4%
, 49
 
11.9%
( 30
 
7.3%
) 30
 
7.3%
1 20
 
4.9%
4 19
 
4.6%
6 16
 
3.9%
2 15
 
3.6%
5 14
 
3.4%
7 13
 
3.2%
Other values (6) 47
 
11.4%
Hangul
ValueCountFrequency (%)
원 50
 
8.9%
노 45
 
8.0%
동 41
 
7.3%
로 32
 
5.7%
서 30
 
5.4%
울 30
 
5.4%
구 30
 
5.4%
시 30
 
5.4%
별 30
 
5.4%
특 30
 
5.4%
Other values (69) 212
37.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)65.5%
Missing7
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean1753.4828
Minimum1605
Maximum1904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-30T03:54:47.191511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1605
5-th percentile1650.6
Q11695
median1715
Q31849
95-th percentile1861
Maximum1904
Range299
Interquartile range (IQR)154

Descriptive statistics

Standard deviation81.643222
Coefficient of variation (CV)0.046560607
Kurtosis-1.0963312
Mean1753.4828
Median Absolute Deviation (MAD)36
Skewness0.284629
Sum50851
Variance6665.6158
MonotonicityNot monotonic
2024-04-30T03:54:47.284364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1861 4
11.1%
1695 3
 
8.3%
1704 3
 
8.3%
1691 3
 
8.3%
1852 2
 
5.6%
1830 1
 
2.8%
1689 1
 
2.8%
1696 1
 
2.8%
1625 1
 
2.8%
1750 1
 
2.8%
Other values (9) 9
25.0%
(Missing) 7
19.4%
ValueCountFrequency (%)
1605 1
 
2.8%
1625 1
 
2.8%
1689 1
 
2.8%
1691 3
8.3%
1695 3
8.3%
1696 1
 
2.8%
1698 1
 
2.8%
1704 3
8.3%
1715 1
 
2.8%
1750 1
 
2.8%
ValueCountFrequency (%)
1904 1
 
2.8%
1861 4
11.1%
1852 2
5.6%
1849 1
 
2.8%
1830 1
 
2.8%
1812 1
 
2.8%
1757 1
 
2.8%
1752 1
 
2.8%
1751 1
 
2.8%
1750 1
 
2.8%

사업장명
Text

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-04-30T03:54:47.458208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length7.8888889
Min length3

Characters and Unicode

Total characters284
Distinct characters91
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

Unique34 ?
Unique (%)94.4%

Sample

1st row한국원자력의학원원자력병원
2nd row인제대학교 상계백병원
3rd row노원을지대학교병원
4th row선한이웃병원
5th row태능성심한방병원
ValueCountFrequency (%)
강북예치과병원 2
 
4.8%
선한이웃병원 2
 
4.8%
모아한방병원 1
 
2.4%
노원자생한방병원 1
 
2.4%
노원솔요양병원 1
 
2.4%
희망요양병원 1
 
2.4%
서울제일한방병원 1
 
2.4%
의료법인 1
 
2.4%
행복나눔의료재단 1
 
2.4%
사랑요양병원 1
 
2.4%
Other values (30) 30
71.4%
2024-04-30T03:54:47.753497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 44
 
15.5%
병 35
 
12.3%
요 12
 
4.2%
양 12
 
4.2%
한 8
 
2.8%
방 7
 
2.5%
의 7
 
2.5%
과 6
 
2.1%
6
 
2.1%
울 5
 
1.8%
Other values (81) 142
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 278
97.9%
Space Separator 6
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 44
 
15.8%
병 35
 
12.6%
요 12
 
4.3%
양 12
 
4.3%
한 8
 
2.9%
방 7
 
2.5%
의 7
 
2.5%
과 6
 
2.2%
울 5
 
1.8%
치 5
 
1.8%
Other values (80) 137
49.3%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 278
97.9%
Common 6
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 44
 
15.8%
병 35
 
12.6%
요 12
 
4.3%
양 12
 
4.3%
한 8
 
2.9%
방 7
 
2.5%
의 7
 
2.5%
과 6
 
2.2%
울 5
 
1.8%
치 5
 
1.8%
Other values (80) 137
49.3%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 278
97.9%
ASCII 6
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 44
 
15.8%
병 35
 
12.6%
요 12
 
4.3%
양 12
 
4.3%
한 8
 
2.9%
방 7
 
2.5%
의 7
 
2.5%
과 6
 
2.2%
울 5
 
1.8%
치 5
 
1.8%
Other values (80) 137
49.3%
ASCII
ValueCountFrequency (%)
6
100.0%

최종수정일자
Date

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2008-12-11 16:39:59
Maximum2024-04-12 10:41:50
2024-04-30T03:54:47.860316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:54:47.960152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
U
27 
I
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 27
75.0%
I 9
 
25.0%

Length

2024-04-30T03:54:48.060328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:48.158042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 27
75.0%
i 9
 
25.0%

데이터갱신일자
Date

Distinct23
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:04:00
2024-04-30T03:54:48.231612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:54:48.531737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

업태구분명
Categorical

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
병원
12 
요양병원(일반요양병원)
12 
한방병원
5 
치과병원
4 
종합병원
3 

Length

Max length12
Median length4
Mean length6
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
병원 12
33.3%
요양병원(일반요양병원) 12
33.3%
한방병원 5
13.9%
치과병원 4
 
11.1%
종합병원 3
 
8.3%

Length

2024-04-30T03:54:48.656073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:48.744788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 12
33.3%
요양병원(일반요양병원 12
33.3%
한방병원 5
13.9%
치과병원 4
 
11.1%
종합병원 3
 
8.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)70.0%
Missing6
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean205905.16
Minimum204558.46
Maximum207192.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-30T03:54:48.845462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204558.46
5-th percentile205009.59
Q1205548.9
median205883.58
Q3206400.48
95-th percentile206605.45
Maximum207192.87
Range2634.4153
Interquartile range (IQR)851.57395

Descriptive statistics

Standard deviation578.00765
Coefficient of variation (CV)0.0028071548
Kurtosis0.10403344
Mean205905.16
Median Absolute Deviation (MAD)335.35024
Skewness-0.068227706
Sum6177154.7
Variance334092.84
MonotonicityNot monotonic
2024-04-30T03:54:48.954702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
206551.60704052 3
 
8.3%
205705.736649952 3
 
8.3%
205922.151234054 3
 
8.3%
205548.23208928 2
 
5.6%
206170.643203398 2
 
5.6%
205557.013355638 2
 
5.6%
205845.013422713 1
 
2.8%
206552.561558601 1
 
2.8%
204844.008926915 1
 
2.8%
205211.963702341 1
 
2.8%
Other values (11) 11
30.6%
(Missing) 6
16.7%
ValueCountFrequency (%)
204558.457810284 1
 
2.8%
204844.008926915 1
 
2.8%
205211.963702341 1
 
2.8%
205415.542386681 1
 
2.8%
205435.716185577 1
 
2.8%
205488.916466022 1
 
2.8%
205548.23208928 2
5.6%
205550.908407551 1
 
2.8%
205557.013355638 2
5.6%
205705.736649952 3
8.3%
ValueCountFrequency (%)
207192.873108421 1
 
2.8%
206616.300077726 1
 
2.8%
206592.199165568 1
 
2.8%
206552.561558601 1
 
2.8%
206551.60704052 3
8.3%
206472.186226874 1
 
2.8%
206185.341781605 1
 
2.8%
206170.643203398 2
5.6%
206102.455977834 1
 
2.8%
205922.151234054 3
8.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)70.0%
Missing6
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean460205.45
Minimum456950.15
Maximum464003.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-30T03:54:49.043509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456950.15
5-th percentile457119.61
Q1458454.85
median461261.66
Q3461540.05
95-th percentile463022.59
Maximum464003.41
Range7053.253
Interquartile range (IQR)3085.2012

Descriptive statistics

Standard deviation2086.6884
Coefficient of variation (CV)0.004534254
Kurtosis-1.010568
Mean460205.45
Median Absolute Deviation (MAD)583.45976
Skewness-0.24250178
Sum13806163
Variance4354268.6
MonotonicityNot monotonic
2024-04-30T03:54:49.140967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
457326.722941972 3
 
8.3%
461663.53909342 3
 
8.3%
461261.657201799 3
 
8.3%
456950.152059544 2
 
5.6%
458461.197033155 2
 
5.6%
461441.687971047 2
 
5.6%
461572.838654552 1
 
2.8%
457344.469525861 1
 
2.8%
463967.288761705 1
 
2.8%
461437.853953207 1
 
2.8%
Other values (11) 11
30.6%
(Missing) 6
16.7%
ValueCountFrequency (%)
456950.152059544 2
5.6%
457326.722941972 3
8.3%
457344.469525861 1
 
2.8%
457438.713791301 1
 
2.8%
458452.733971782 1
 
2.8%
458461.197033155 2
5.6%
459346.769704089 1
 
2.8%
459704.88566949 1
 
2.8%
460701.027580932 1
 
2.8%
461261.657201799 3
8.3%
ValueCountFrequency (%)
464003.405075075 1
 
2.8%
463967.288761705 1
 
2.8%
461867.94710054 1
 
2.8%
461762.664495137 1
 
2.8%
461663.53909342 3
8.3%
461572.838654552 1
 
2.8%
461441.687971047 2
5.6%
461437.853953207 1
 
2.8%
461429.381910888 1
 
2.8%
461343.062226682 1
 
2.8%

의료기관종별명
Categorical

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
25 
요양병원(일반요양병원)
5 
병원
4 
한방병원
 
1
치과병원
 
1

Length

Max length12
Median length4
Mean length4.8888889
Min length2

Unique

Unique2 ?
Unique (%)5.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
69.4%
요양병원(일반요양병원) 5
 
13.9%
병원 4
 
11.1%
한방병원 1
 
2.8%
치과병원 1
 
2.8%

Length

2024-04-30T03:54:49.242291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:49.331288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
69.4%
요양병원(일반요양병원 5
 
13.9%
병원 4
 
11.1%
한방병원 1
 
2.8%
치과병원 1
 
2.8%

의료인수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)81.8%
Missing25
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean10.818182
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-30T03:54:49.426696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.5
Q14.5
median8
Q39.5
95-th percentile32.5
Maximum48
Range47
Interquartile range (IQR)5

Descriptive statistics

Standard deviation13.105863
Coefficient of variation (CV)1.2114663
Kurtosis7.8436444
Mean10.818182
Median Absolute Deviation (MAD)3
Skewness2.6764297
Sum119
Variance171.76364
MonotonicityNot monotonic
2024-04-30T03:54:49.513806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 3
 
8.3%
7 1
 
2.8%
17 1
 
2.8%
3 1
 
2.8%
2 1
 
2.8%
48 1
 
2.8%
11 1
 
2.8%
1 1
 
2.8%
6 1
 
2.8%
(Missing) 25
69.4%
ValueCountFrequency (%)
1 1
 
2.8%
2 1
 
2.8%
3 1
 
2.8%
6 1
 
2.8%
7 1
 
2.8%
8 3
8.3%
11 1
 
2.8%
17 1
 
2.8%
48 1
 
2.8%
ValueCountFrequency (%)
48 1
 
2.8%
17 1
 
2.8%
11 1
 
2.8%
8 3
8.3%
7 1
 
2.8%
6 1
 
2.8%
3 1
 
2.8%
2 1
 
2.8%
1 1
 
2.8%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)81.8%
Missing25
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean21.090909
Minimum0
Maximum46
Zeros2
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-30T03:54:49.593590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.5
median16
Q335
95-th percentile44
Maximum46
Range46
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation16.379588
Coefficient of variation (CV)0.77661841
Kurtosis-1.2128632
Mean21.090909
Median Absolute Deviation (MAD)13
Skewness0.32160488
Sum232
Variance268.29091
MonotonicityNot monotonic
2024-04-30T03:54:49.683632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 2
 
5.6%
16 2
 
5.6%
46 1
 
2.8%
29 1
 
2.8%
21 1
 
2.8%
10 1
 
2.8%
11 1
 
2.8%
42 1
 
2.8%
41 1
 
2.8%
(Missing) 25
69.4%
ValueCountFrequency (%)
0 2
5.6%
10 1
2.8%
11 1
2.8%
16 2
5.6%
21 1
2.8%
29 1
2.8%
41 1
2.8%
42 1
2.8%
46 1
2.8%
ValueCountFrequency (%)
46 1
2.8%
42 1
2.8%
41 1
2.8%
29 1
2.8%
21 1
2.8%
16 2
5.6%
11 1
2.8%
10 1
2.8%
0 2
5.6%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)90.9%
Missing25
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean93
Minimum0
Maximum253
Zeros2
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-30T03:54:49.777732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q145
median70
Q3138.5
95-th percentile229
Maximum253
Range253
Interquartile range (IQR)93.5

Descriptive statistics

Standard deviation83.110769
Coefficient of variation (CV)0.89366419
Kurtosis-0.25674154
Mean93
Median Absolute Deviation (MAD)34
Skewness0.87186522
Sum1023
Variance6907.4
MonotonicityNot monotonic
2024-04-30T03:54:49.885225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 2
 
5.6%
205 1
 
2.8%
50 1
 
2.8%
70 1
 
2.8%
75 1
 
2.8%
40 1
 
2.8%
173 1
 
2.8%
104 1
 
2.8%
253 1
 
2.8%
53 1
 
2.8%
(Missing) 25
69.4%
ValueCountFrequency (%)
0 2
5.6%
40 1
2.8%
50 1
2.8%
53 1
2.8%
70 1
2.8%
75 1
2.8%
104 1
2.8%
173 1
2.8%
205 1
2.8%
253 1
2.8%
ValueCountFrequency (%)
253 1
2.8%
205 1
2.8%
173 1
2.8%
104 1
2.8%
75 1
2.8%
70 1
2.8%
53 1
2.8%
50 1
2.8%
40 1
2.8%
0 2
5.6%

총면적
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)90.9%
Missing25
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean2305.6709
Minimum10
Maximum7960.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-30T03:54:49.970714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile47.105
Q1533.04
median1159.64
Q32390.895
95-th percentile7960.08
Maximum7960.08
Range7950.08
Interquartile range (IQR)1857.855

Descriptive statistics

Standard deviation2942.9424
Coefficient of variation (CV)1.2763931
Kurtosis1.0293884
Mean2305.6709
Median Absolute Deviation (MAD)838.95
Skewness1.5475794
Sum25362.38
Variance8660909.8
MonotonicityNot monotonic
2024-04-30T03:54:50.068300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7960.08 2
 
5.6%
10.0 1
 
2.8%
84.21 1
 
2.8%
320.69 1
 
2.8%
1365.55 1
 
2.8%
745.39 1
 
2.8%
975.5 1
 
2.8%
1159.64 1
 
2.8%
3416.24 1
 
2.8%
1365.0 1
 
2.8%
(Missing) 25
69.4%
ValueCountFrequency (%)
10.0 1
2.8%
84.21 1
2.8%
320.69 1
2.8%
745.39 1
2.8%
975.5 1
2.8%
1159.64 1
2.8%
1365.0 1
2.8%
1365.55 1
2.8%
3416.24 1
2.8%
7960.08 2
5.6%
ValueCountFrequency (%)
7960.08 2
5.6%
3416.24 1
2.8%
1365.55 1
2.8%
1365.0 1
2.8%
1159.64 1
2.8%
975.5 1
2.8%
745.39 1
2.8%
320.69 1
2.8%
84.21 1
2.8%
10.0 1
2.8%

진료과목내용
Text

MISSING 

Distinct8
Distinct (%)72.7%
Missing25
Missing (%)69.4%
Memory size420.0 B
2024-04-30T03:54:50.204542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length20.090909
Min length3

Characters and Unicode

Total characters221
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 (%)63.6%

Sample

1st row101
2nd row101
3rd row101
4th row201
5th row101
ValueCountFrequency (%)
101 10
17.2%
104 5
 
8.6%
105 4
 
6.9%
120 4
 
6.9%
111 4
 
6.9%
106 4
 
6.9%
122 4
 
6.9%
109 3
 
5.2%
113 3
 
5.2%
115 2
 
3.4%
Other values (13) 15
25.9%
2024-04-30T03:54:50.450284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 83
37.6%
47
21.3%
0 40
18.1%
2 17
 
7.7%
3 8
 
3.6%
6 7
 
3.2%
4 6
 
2.7%
5 6
 
2.7%
9 4
 
1.8%
7 2
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 174
78.7%
Space Separator 47
 
21.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 83
47.7%
0 40
23.0%
2 17
 
9.8%
3 8
 
4.6%
6 7
 
4.0%
4 6
 
3.4%
5 6
 
3.4%
9 4
 
2.3%
7 2
 
1.1%
8 1
 
0.6%
Space Separator
ValueCountFrequency (%)
47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 221
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 83
37.6%
47
21.3%
0 40
18.1%
2 17
 
7.7%
3 8
 
3.6%
6 7
 
3.2%
4 6
 
2.7%
5 6
 
2.7%
9 4
 
1.8%
7 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 221
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 83
37.6%
47
21.3%
0 40
18.1%
2 17
 
7.7%
3 8
 
3.6%
6 7
 
3.2%
4 6
 
2.7%
5 6
 
2.7%
9 4
 
1.8%
7 2
 
0.9%

진료과목내용명
Text

MISSING 

Distinct8
Distinct (%)72.7%
Missing25
Missing (%)69.4%
Memory size420.0 B
2024-04-30T03:54:50.596867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length57
Mean length30.272727
Min length2

Characters and Unicode

Total characters333
Distinct characters47
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 (%)63.6%

Sample

1st row내과
2nd row내과
3rd row내과
4th row구강악안면외과
5th row내과
ValueCountFrequency (%)
내과 10
17.2%
외과 5
 
8.6%
재활의학과 4
 
6.9%
정형외과 4
 
6.9%
신경외과 4
 
6.9%
가정의학과 4
 
6.9%
소아청소년과 4
 
6.9%
이비인후과 3
 
5.2%
마취통증의학과 3
 
5.2%
영상의학과 2
 
3.4%
Other values (13) 15
25.9%
2024-04-30T03:54:50.873969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 58
17.4%
, 47
14.1%
47
14.1%
학 17
 
5.1%
의 17
 
5.1%
외 15
 
4.5%
내 11
 
3.3%
소 8
 
2.4%
정 8
 
2.4%
신 6
 
1.8%
Other values (37) 99
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 239
71.8%
Other Punctuation 47
 
14.1%
Space Separator 47
 
14.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 58
24.3%
학 17
 
7.1%
의 17
 
7.1%
외 15
 
6.3%
내 11
 
4.6%
소 8
 
3.3%
정 8
 
3.3%
신 6
 
2.5%
경 6
 
2.5%
활 5
 
2.1%
Other values (35) 88
36.8%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%
Space Separator
ValueCountFrequency (%)
47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 239
71.8%
Common 94
 
28.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 58
24.3%
학 17
 
7.1%
의 17
 
7.1%
외 15
 
6.3%
내 11
 
4.6%
소 8
 
3.3%
정 8
 
3.3%
신 6
 
2.5%
경 6
 
2.5%
활 5
 
2.1%
Other values (35) 88
36.8%
Common
ValueCountFrequency (%)
, 47
50.0%
47
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 239
71.8%
ASCII 94
 
28.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 58
24.3%
학 17
 
7.1%
의 17
 
7.1%
외 15
 
6.3%
내 11
 
4.6%
소 8
 
3.3%
정 8
 
3.3%
신 6
 
2.5%
경 6
 
2.5%
활 5
 
2.1%
Other values (35) 88
36.8%
ASCII
ValueCountFrequency (%)
, 47
50.0%
47
50.0%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

구급차특수
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
25 
0
11 

Length

Max length4
Median length4
Mean length3.0833333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
69.4%
0 11
30.6%

Length

2024-04-30T03:54:51.012558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:51.100520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
69.4%
0 11
30.6%

구급차일반
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
25 
0
11 

Length

Max length4
Median length4
Mean length3.0833333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
69.4%
0 11
30.6%

Length

2024-04-30T03:54:51.184577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:51.272633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
69.4%
0 11
30.6%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

허가병상수
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
<NA>
25 
0
11 

Length

Max length4
Median length4
Mean length3.0833333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
69.4%
0 11
30.6%

Length

2024-04-30T03:54:51.357468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:54:51.446904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
69.4%
0 11
30.6%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03100000PHMA2198531000340212000011985-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-970-211497157.2<NA><NA>서울특별시 노원구 노원로 75, 한국원자력의학원 (공릉동)1812한국원자력의학원원자력병원2023-08-18 16:25:55U2022-12-07 22:00:00.0종합병원207192.873108458452.733972<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13100000PHMA2198931000340212000011989-08-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-950-111441878.45<NA><NA>서울특별시 노원구 동일로 1342, 상계백병원 (상계동)1757인제대학교 상계백병원2024-01-04 14:34:28U2023-12-01 00:06:00.0종합병원205488.916466460701.027581<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23100000PHMA2199531000340212000011995-01-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-970-800064341.22<NA><NA>서울특별시 노원구 한글비석로 68, 을지병원 (하계동)1830노원을지대학교병원2024-01-22 11:34:55U2023-11-30 22:04:00.0종합병원206102.455978459346.769704<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33100000PHMA21995310003402120000219950807<NA>3폐업3폐업20080801<NA><NA><NA>914-2000<NA>139841서울특별시 노원구 월계1동50-1,30호<NA><NA>선한이웃병원2008-12-11 16:39:59I2018-08-31 23:59:59.0병원<NA><NA>병원8462057960.08101내과<NA><NA><NA>00<NA><NA>0<NA>
43100000PHMA21997310003402120000119970304<NA>3폐업3폐업20010830<NA><NA><NA>9700-910<NA>139241서울특별시 노원구 공릉1동680-9<NA><NA>태능성심한방병원2008-12-11 16:40:00I2018-08-31 23:59:59.0한방병원<NA><NA>한방병원8295010.0101내과<NA><NA><NA>00<NA><NA>0<NA>
53100000PHMA21998310003402120000219980325<NA>3폐업3폐업20011220<NA><NA><NA>939-6176<NA>139201서울특별시 노원구 상계1동산51번지<NA><NA>시립노인요양원부속의원2008-12-11 16:40:00I2018-08-31 23:59:59.0요양병원(일반요양병원)<NA><NA>요양병원(일반요양병원)70084.21101내과<NA><NA><NA>00<NA><NA>0<NA>
63100000PHMA22002310003402120000120020527<NA>3폐업3폐업20030827<NA><NA><NA>938-2833<NA>139207서울특별시 노원구 상계7동727-1 8층<NA><NA>강북예치과병원2008-12-11 16:40:00I2018-08-31 23:59:59.0치과병원<NA><NA>치과병원1700320.69201구강악안면외과<NA><NA><NA>00<NA><NA>0<NA>
73100000PHMA22002310003402120000220020816<NA>3폐업3폐업20211226<NA><NA><NA>02-976-0808<NA><NA>서울특별시 노원구 공릉동 680-9 태릉성심요양병원서울특별시 노원구 동일로 987, 태릉성심요양병원 (공릉동)1861태능성심요양병원2022-04-21 16:23:39U2021-12-03 22:03:00.0요양병원(일반요양병원)206551.607041457326.722942<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83100000PHMA22004310003402120000120040102<NA>1영업/정상13영업중<NA><NA><NA><NA>938-2833<NA><NA>서울특별시 노원구 상계동 606-12 노원스퀘어서울특별시 노원구 노해로81길 5-6, 노원스퀘어 5-7층 (상계동)1695강북예치과병원2022-10-26 17:46:32U2021-10-30 22:08:00.0치과병원205435.716186461429.381911<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93100000PHMA2200531000340212000012005-04-20<NA>3폐업3폐업2018-05-14<NA><NA><NA>02-939-03002292.04<NA>서울특별시 노원구 상계동 301번지 6호 모네여성병원서울특별시 노원구 노원로 416, 모네여성병원 (상계동)1704모네여성병원2023-12-01 15:20:07U2022-11-02 00:03:00.0병원205922.151234461261.657202<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
263100000PHMA2201631000340212000012016-03-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2092-55053080.39<NA><NA>서울특별시 노원구 동일로 996 (공릉동)1849강북연세병원2023-12-28 16:58:23U2022-11-01 21:00:00.0병원206592.199166457438.713791<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
273100000PHMA2201631000340212000022016-08-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-941-78005479.6<NA>서울특별시 노원구 월계동 50번지 1호서울특별시 노원구 화랑로 323 (월계동)1904더조은요양병원2023-10-17 17:06:06U2022-10-30 23:09:00.0요양병원(일반요양병원)205548.232089456950.15206<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
283100000PHMA2201731000340212000012017-06-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-933-1114<NA><NA>서울특별시 노원구 상계동 1142번지 9호서울특별시 노원구 동일로243길 45 (상계동, 사랑요양병원)1605의료법인 행복나눔의료재단 사랑요양병원2023-06-26 17:08:12U2022-12-05 22:08:00.0요양병원(일반요양병원)204558.45781464003.405075<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293100000PHMA22017310003402120000220170628<NA>3폐업3폐업20200831<NA><NA><NA>02-1899-9899<NA><NA>서울특별시 노원구 공릉동 323번지 2호서울특별시 노원구 동일로197길 11 (공릉동, 공삼빌딩)1852서울스페셜병원2020-12-10 14:07:11U2020-12-12 02:40:00.0병원206170.643203458461.197033병원616531365.0122 116 115 114 113 111 109 106 105 104 101내과, 외과, 정형외과, 신경외과, 마취통증의학과, 소아청소년과, 이비인후과, 피부과, 비뇨의학과, 영상의학과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
303100000PHMA2201931000340212000012019-02-25<NA>3폐업3폐업2022-07-22<NA><NA><NA>0293885402177.84<NA>서울특별시 노원구 상계동 301번지 6호 파로스병원서울특별시 노원구 노원로 416, 파로스병원 (상계동)1704파로스병원2024-01-11 16:41:05U2023-11-30 23:03:00.0병원205922.151234461261.657202<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
313100000PHMA2201931000340212000022019-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-930-2841155.8<NA><NA>서울특별시 노원구 노해로 488, 근호빌딩 5층 502호 (상계동)1751샤인치과교정과 치과병원2023-10-23 10:42:39U2022-10-30 22:05:00.0치과병원205415.542387461328.596334<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
323100000PHMA2202031000340212000012020-07-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-934-1300<NA><NA><NA>서울특별시 노원구 노원로 461, 대감프라자빌딩 3,4,5,6층 (상계동)1691그레이스힐 요양병원2023-07-10 11:38:52U2022-12-06 23:03:00.0요양병원(일반요양병원)205705.73665461663.539093<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
333100000PHMA2202031000340212000022020-11-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-949-1075<NA><NA><NA>서울특별시 노원구 동일로197길 11, 공삼빌딩 2,3,4층 (공릉동)1852서울미르한방병원2023-06-26 17:06:49U2022-12-05 22:08:00.0한방병원206170.643203458461.197033<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
343100000PHMA2202231000340212000012022-02-24<NA>1영업/정상13영업중<NA><NA><NA><NA>1533-75851705.0<NA><NA>서울특별시 노원구 동일로 987, 태릉마이크로병원건물 2,5,6,7층 (공릉동)1861모아한방병원2024-04-12 10:41:50U2023-12-03 23:04:00.0한방병원206551.607041457326.722942<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
353100000PHMA2202331000340212000012023-02-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6956-12312050.68<NA>서울특별시 노원구 상계동 301-6 파로스병원서울특별시 노원구 노원로 416(상계동)1704새힘병원2023-09-26 16:05:08U2022-12-08 22:08:00.0병원205922.151234461261.657202<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>