Overview

Dataset statistics

Number of variables41
Number of observations138
Missing cells1679
Missing cells (%)29.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.7 KiB
Average record size in memory354.0 B

Variable types

Numeric6
Text6
DateTime4
Categorical16
Unsupported9

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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16481/S/1/datasetView.do

Alerts

인허가취소일자 is highly imbalanced (84.6%)Imbalance
휴업시작일자 is highly imbalanced (90.7%)Imbalance
휴업종료일자 is highly imbalanced (90.7%)Imbalance
의료기관종별명 is highly imbalanced (51.3%)Imbalance
폐업일자 has 84 (60.9%) missing valuesMissing
재개업일자 has 138 (100.0%) missing valuesMissing
전화번호 has 17 (12.3%) missing valuesMissing
소재지면적 has 138 (100.0%) missing valuesMissing
소재지우편번호 has 81 (58.7%) missing valuesMissing
지번주소 has 18 (13.0%) missing valuesMissing
도로명주소 has 20 (14.5%) missing valuesMissing
도로명우편번호 has 35 (25.4%) missing valuesMissing
업태구분명 has 138 (100.0%) missing valuesMissing
좌표정보(X) has 23 (16.7%) missing valuesMissing
좌표정보(Y) has 23 (16.7%) missing valuesMissing
의료인수 has 68 (49.3%) missing valuesMissing
총면적 has 68 (49.3%) missing valuesMissing
지정취소일자 has 138 (100.0%) missing valuesMissing
완화의료지정형태 has 138 (100.0%) missing valuesMissing
완화의료담당부서명 has 138 (100.0%) missing valuesMissing
총인원 has 138 (100.0%) missing valuesMissing
구조사수 has 138 (100.0%) missing valuesMissing
최초지정일자 has 138 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 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
의료인수 has 2 (1.4%) zerosZeros
총면적 has 20 (14.5%) zerosZeros

Reproduction

Analysis started2024-05-11 07:01:43.348844
Analysis finished2024-05-11 07:01:44.654487
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct21
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3111594.2
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T07:01:44.798651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3000000
Q13010000
median3145000
Q33200000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)190000

Descriptive statistics

Standard deviation91939.733
Coefficient of variation (CV)0.029547469
Kurtosis-1.7752083
Mean3111594.2
Median Absolute Deviation (MAD)80000
Skewness-0.071850013
Sum4.294 × 108
Variance8.4529144 × 109
MonotonicityNot monotonic
2024-05-11T07:01:45.143172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3010000 30
21.7%
3180000 22
15.9%
3000000 18
13.0%
3220000 10
 
7.2%
3210000 10
 
7.2%
3200000 9
 
6.5%
3230000 6
 
4.3%
3150000 5
 
3.6%
3020000 4
 
2.9%
3240000 4
 
2.9%
Other values (11) 20
14.5%
ValueCountFrequency (%)
3000000 18
13.0%
3010000 30
21.7%
3020000 4
 
2.9%
3030000 2
 
1.4%
3040000 2
 
1.4%
3050000 3
 
2.2%
3070000 1
 
0.7%
3090000 1
 
0.7%
3100000 1
 
0.7%
3110000 3
 
2.2%
ValueCountFrequency (%)
3240000 4
 
2.9%
3230000 6
 
4.3%
3220000 10
7.2%
3210000 10
7.2%
3200000 9
6.5%
3180000 22
15.9%
3160000 3
 
2.2%
3150000 5
 
3.6%
3140000 1
 
0.7%
3130000 1
 
0.7%

관리번호
Text

UNIQUE 

Distinct138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T07:01:45.616292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters3450
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

Unique138 ?
Unique (%)100.0%

Sample

1st rowPHMA320173180034041300001
2nd rowPHMA320243140033041300001
3rd rowPHMA320173220033041300001
4th rowPHMA320203000034041300001
5th rowPHMA319833010033041300001
ValueCountFrequency (%)
phma320173180034041300001 1
 
0.7%
phma320013090033041300001 1
 
0.7%
phma319833010033041300002 1
 
0.7%
phma320213010033041300002 1
 
0.7%
phma320003120033021300001 1
 
0.7%
phma319993110032041300001 1
 
0.7%
phma320103110032041300001 1
 
0.7%
phma320093110032041300001 1
 
0.7%
phma320193010033041300001 1
 
0.7%
phma319663010033041300002 1
 
0.7%
Other values (128) 128
92.8%
2024-05-11T07:01:46.526852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1200
34.8%
3 648
18.8%
1 431
 
12.5%
2 223
 
6.5%
4 217
 
6.3%
P 138
 
4.0%
H 138
 
4.0%
M 138
 
4.0%
A 138
 
4.0%
9 63
 
1.8%
Other values (4) 116
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2898
84.0%
Uppercase Letter 552
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1200
41.4%
3 648
22.4%
1 431
 
14.9%
2 223
 
7.7%
4 217
 
7.5%
9 63
 
2.2%
8 45
 
1.6%
7 32
 
1.1%
5 21
 
0.7%
6 18
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
P 138
25.0%
H 138
25.0%
M 138
25.0%
A 138
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2898
84.0%
Latin 552
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1200
41.4%
3 648
22.4%
1 431
 
14.9%
2 223
 
7.7%
4 217
 
7.5%
9 63
 
2.2%
8 45
 
1.6%
7 32
 
1.1%
5 21
 
0.7%
6 18
 
0.6%
Latin
ValueCountFrequency (%)
P 138
25.0%
H 138
25.0%
M 138
25.0%
A 138
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3450
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1200
34.8%
3 648
18.8%
1 431
 
12.5%
2 223
 
6.5%
4 217
 
6.3%
P 138
 
4.0%
H 138
 
4.0%
M 138
 
4.0%
A 138
 
4.0%
9 63
 
1.8%
Other values (4) 116
 
3.4%

인허가일자
Date

Distinct116
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1900-01-01 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T07:01:46.885967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:01:47.232020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
131 
20090515
 
3
20110211
 
1
20110502
 
1
20090331
 
1

Length

Max length8
Median length4
Mean length4.2028986
Min length4

Unique

Unique4 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 131
94.9%
20090515 3
 
2.2%
20110211 1
 
0.7%
20110502 1
 
0.7%
20090331 1
 
0.7%
20160721 1
 
0.7%

Length

2024-05-11T07:01:47.721409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:48.115777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 131
94.9%
20090515 3
 
2.2%
20110211 1
 
0.7%
20110502 1
 
0.7%
20090331 1
 
0.7%
20160721 1
 
0.7%

영업상태코드
Categorical

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
81 
3
53 
4
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 81
58.7%
3 53
38.4%
4 3
 
2.2%
2 1
 
0.7%

Length

2024-05-11T07:01:48.482453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:48.886076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 81
58.7%
3 53
38.4%
4 3
 
2.2%
2 1
 
0.7%

영업상태명
Categorical

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업/정상
81 
폐업
53 
취소/말소/만료/정지/중지
 
3
휴업
 
1

Length

Max length14
Median length5
Mean length4.0217391
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 81
58.7%
폐업 53
38.4%
취소/말소/만료/정지/중지 3
 
2.2%
휴업 1
 
0.7%

Length

2024-05-11T07:01:49.424201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:49.807511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 81
58.7%
폐업 53
38.4%
취소/말소/만료/정지/중지 3
 
2.2%
휴업 1
 
0.7%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
13
81 
3
53 
24
 
3
2
 
1

Length

Max length2
Median length2
Mean length1.6086957
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
13 81
58.7%
3 53
38.4%
24 3
 
2.2%
2 1
 
0.7%

Length

2024-05-11T07:01:50.211703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:50.623171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 81
58.7%
3 53
38.4%
24 3
 
2.2%
2 1
 
0.7%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업중
81 
폐업
53 
직권폐업
 
3
휴업
 
1

Length

Max length4
Median length3
Mean length2.6304348
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 81
58.7%
폐업 53
38.4%
직권폐업 3
 
2.2%
휴업 1
 
0.7%

Length

2024-05-11T07:01:51.093711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:51.545832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 81
58.7%
폐업 53
38.4%
직권폐업 3
 
2.2%
휴업 1
 
0.7%

폐업일자
Date

MISSING 

Distinct45
Distinct (%)83.3%
Missing84
Missing (%)60.9%
Memory size1.2 KiB
Minimum2003-10-06 00:00:00
Maximum2023-07-27 00:00:00
2024-05-11T07:01:52.021566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:01:52.459900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
135 
20180116
 
1
20100902
 
1
20101018
 
1

Length

Max length8
Median length4
Mean length4.0869565
Min length4

Unique

Unique3 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 135
97.8%
20180116 1
 
0.7%
20100902 1
 
0.7%
20101018 1
 
0.7%

Length

2024-05-11T07:01:53.237465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:53.632296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 135
97.8%
20180116 1
 
0.7%
20100902 1
 
0.7%
20101018 1
 
0.7%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
135 
20180630
 
1
20110301
 
1
20171231
 
1

Length

Max length8
Median length4
Mean length4.0869565
Min length4

Unique

Unique3 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 135
97.8%
20180630 1
 
0.7%
20110301 1
 
0.7%
20171231 1
 
0.7%

Length

2024-05-11T07:01:54.117722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:01:54.508286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 135
97.8%
20180630 1
 
0.7%
20110301 1
 
0.7%
20171231 1
 
0.7%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

전화번호
Text

MISSING 

Distinct108
Distinct (%)89.3%
Missing17
Missing (%)12.3%
Memory size1.2 KiB
2024-05-11T07:01:55.155382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length10.909091
Min length3

Characters and Unicode

Total characters1320
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)83.5%

Sample

1st row02-2133-7493
2nd row02-2192-1999
3rd row02-3448-8980
4th row02-2100-4549
5th row2002-2153
ValueCountFrequency (%)
02-2076-4047 8
 
6.6%
02-2088-8700 2
 
1.7%
02-2011-3237 2
 
1.7%
721-2747 2
 
1.7%
02-772-6154 2
 
1.7%
02-3448-8980 2
 
1.7%
02-524-1718 2
 
1.7%
02-2151-5824 1
 
0.8%
880-5338 1
 
0.8%
2002-2147 1
 
0.8%
Other values (98) 98
81.0%
2024-05-11T07:01:56.425354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 229
17.3%
2 214
16.2%
- 203
15.4%
1 113
8.6%
7 111
8.4%
4 91
 
6.9%
3 85
 
6.4%
8 77
 
5.8%
5 73
 
5.5%
9 64
 
4.8%
Other values (4) 60
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1114
84.4%
Dash Punctuation 203
 
15.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 229
20.6%
2 214
19.2%
1 113
10.1%
7 111
10.0%
4 91
 
8.2%
3 85
 
7.6%
8 77
 
6.9%
5 73
 
6.6%
9 64
 
5.7%
6 57
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 203
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1320
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 229
17.3%
2 214
16.2%
- 203
15.4%
1 113
8.6%
7 111
8.4%
4 91
 
6.9%
3 85
 
6.4%
8 77
 
5.8%
5 73
 
5.5%
9 64
 
4.8%
Other values (4) 60
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 229
17.3%
2 214
16.2%
- 203
15.4%
1 113
8.6%
7 111
8.4%
4 91
 
6.9%
3 85
 
6.4%
8 77
 
5.8%
5 73
 
5.5%
9 64
 
4.8%
Other values (4) 60
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Text

MISSING 

Distinct47
Distinct (%)82.5%
Missing81
Missing (%)58.7%
Memory size1.2 KiB
2024-05-11T07:01:57.065851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.9122807
Min length3

Characters and Unicode

Total characters337
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

Unique38 ?
Unique (%)66.7%

Sample

1st row139-804
2nd row110011
3rd row110062
4th row110061
5th row150-701
ValueCountFrequency (%)
151820 3
 
5.3%
138763 2
 
3.5%
814 2
 
3.5%
152130 2
 
3.5%
151-742 2
 
3.5%
150996 2
 
3.5%
052 2
 
3.5%
110714 2
 
3.5%
110062 2
 
3.5%
150743 1
 
1.8%
Other values (37) 37
64.9%
2024-05-11T07:01:58.436238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 86
25.5%
0 59
17.5%
5 34
 
10.1%
7 29
 
8.6%
2 26
 
7.7%
3 26
 
7.7%
8 24
 
7.1%
4 15
 
4.5%
6 15
 
4.5%
9 13
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 327
97.0%
Dash Punctuation 10
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 86
26.3%
0 59
18.0%
5 34
 
10.4%
7 29
 
8.9%
2 26
 
8.0%
3 26
 
8.0%
8 24
 
7.3%
4 15
 
4.6%
6 15
 
4.6%
9 13
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 337
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 86
25.5%
0 59
17.5%
5 34
 
10.1%
7 29
 
8.6%
2 26
 
7.7%
3 26
 
7.7%
8 24
 
7.1%
4 15
 
4.5%
6 15
 
4.5%
9 13
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 337
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 86
25.5%
0 59
17.5%
5 34
 
10.1%
7 29
 
8.6%
2 26
 
7.7%
3 26
 
7.7%
8 24
 
7.1%
4 15
 
4.5%
6 15
 
4.5%
9 13
 
3.9%

지번주소
Text

MISSING 

Distinct107
Distinct (%)89.2%
Missing18
Missing (%)13.0%
Memory size1.2 KiB
2024-05-11T07:01:59.534586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length32
Mean length25.333333
Min length6

Characters and Unicode

Total characters3040
Distinct characters195
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)80.0%

Sample

1st row서울특별시 영등포구 영등포동2가 94번지 31호 1층
2nd row서울특별시 양천구 신정동 313-1 서울남부지방법원
3rd row서울특별시 강남구 도곡동 448-2 바디프랜드 도곡타워
4th row서울특별시 종로구 세종로 77번지 6호 정부서울청사 210호
5th row서울특별시 중구 을지로1가 101번지 1호 8층
ValueCountFrequency (%)
서울특별시 110
 
17.2%
영등포구 22
 
3.4%
중구 18
 
2.8%
1호 17
 
2.7%
종로구 14
 
2.2%
여의도동 14
 
2.2%
강남구 10
 
1.6%
2층 10
 
1.6%
관악구 9
 
1.4%
서초구 8
 
1.2%
Other values (271) 408
63.7%
2024-05-11T07:02:01.162452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
536
 
17.6%
서 144
 
4.7%
울 120
 
3.9%
구 119
 
3.9%
1 116
 
3.8%
별 113
 
3.7%
시 113
 
3.7%
특 110
 
3.6%
동 105
 
3.5%
2 94
 
3.1%
Other values (185) 1470
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1923
63.3%
Space Separator 536
 
17.6%
Decimal Number 508
 
16.7%
Uppercase Letter 30
 
1.0%
Dash Punctuation 28
 
0.9%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Other Punctuation 4
 
0.1%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 144
 
7.5%
울 120
 
6.2%
구 119
 
6.2%
별 113
 
5.9%
시 113
 
5.9%
특 110
 
5.7%
동 105
 
5.5%
지 88
 
4.6%
번 75
 
3.9%
호 51
 
2.7%
Other values (153) 885
46.0%
Uppercase Letter
ValueCountFrequency (%)
E 6
20.0%
B 4
13.3%
K 3
10.0%
C 3
10.0%
T 2
 
6.7%
I 2
 
6.7%
J 2
 
6.7%
N 2
 
6.7%
M 2
 
6.7%
A 1
 
3.3%
Other values (3) 3
10.0%
Decimal Number
ValueCountFrequency (%)
1 116
22.8%
2 94
18.5%
0 51
10.0%
3 48
9.4%
4 46
 
9.1%
6 38
 
7.5%
5 34
 
6.7%
7 34
 
6.7%
8 27
 
5.3%
9 20
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
s 1
33.3%
a 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
& 1
 
25.0%
Space Separator
ValueCountFrequency (%)
536
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1923
63.3%
Common 1084
35.7%
Latin 33
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 144
 
7.5%
울 120
 
6.2%
구 119
 
6.2%
별 113
 
5.9%
시 113
 
5.9%
특 110
 
5.7%
동 105
 
5.5%
지 88
 
4.6%
번 75
 
3.9%
호 51
 
2.7%
Other values (153) 885
46.0%
Common
ValueCountFrequency (%)
536
49.4%
1 116
 
10.7%
2 94
 
8.7%
0 51
 
4.7%
3 48
 
4.4%
4 46
 
4.2%
6 38
 
3.5%
5 34
 
3.1%
7 34
 
3.1%
- 28
 
2.6%
Other values (6) 59
 
5.4%
Latin
ValueCountFrequency (%)
E 6
18.2%
B 4
12.1%
K 3
9.1%
C 3
9.1%
T 2
 
6.1%
I 2
 
6.1%
J 2
 
6.1%
N 2
 
6.1%
M 2
 
6.1%
t 1
 
3.0%
Other values (6) 6
18.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1923
63.3%
ASCII 1117
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
536
48.0%
1 116
 
10.4%
2 94
 
8.4%
0 51
 
4.6%
3 48
 
4.3%
4 46
 
4.1%
6 38
 
3.4%
5 34
 
3.0%
7 34
 
3.0%
- 28
 
2.5%
Other values (22) 92
 
8.2%
Hangul
ValueCountFrequency (%)
서 144
 
7.5%
울 120
 
6.2%
구 119
 
6.2%
별 113
 
5.9%
시 113
 
5.9%
특 110
 
5.7%
동 105
 
5.5%
지 88
 
4.6%
번 75
 
3.9%
호 51
 
2.7%
Other values (153) 885
46.0%

도로명주소
Text

MISSING 

Distinct103
Distinct (%)87.3%
Missing20
Missing (%)14.5%
Memory size1.2 KiB
2024-05-11T07:02:02.085375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37
Mean length32.864407
Min length21

Characters and Unicode

Total characters3878
Distinct characters236
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)75.4%

Sample

1st row서울특별시 영등포구 버드나루로 24, 1층 (영등포동2가, 보현의집)
2nd row서울특별시 양천구 신월로 386, 서울남부지방법원 6층 609호 (신정동)
3rd row서울특별시 강남구 양재천로 163, 바디프랜드 도곡타워 5층 (도곡동)
4th row서울특별시 종로구 세종대로 209, 정부서울청사 210호 (세종로)
5th row서울특별시 중구 을지로 35, 8층 (을지로1가, 하나은행)
ValueCountFrequency (%)
서울특별시 117
 
15.3%
중구 24
 
3.1%
종로구 15
 
2.0%
영등포구 14
 
1.8%
여의도동 11
 
1.4%
1층 10
 
1.3%
서초구 10
 
1.3%
강남구 10
 
1.3%
관악구 9
 
1.2%
2층 9
 
1.2%
Other values (323) 534
70.0%
2024-05-11T07:02:03.575757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
645
 
16.6%
서 165
 
4.3%
로 155
 
4.0%
울 128
 
3.3%
구 125
 
3.2%
시 124
 
3.2%
) 122
 
3.1%
( 122
 
3.1%
별 121
 
3.1%
특 117
 
3.0%
Other values (226) 2054
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2349
60.6%
Space Separator 645
 
16.6%
Decimal Number 474
 
12.2%
Close Punctuation 122
 
3.1%
Open Punctuation 122
 
3.1%
Other Punctuation 120
 
3.1%
Uppercase Letter 40
 
1.0%
Dash Punctuation 3
 
0.1%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 165
 
7.0%
로 155
 
6.6%
울 128
 
5.4%
구 125
 
5.3%
시 124
 
5.3%
별 121
 
5.2%
특 117
 
5.0%
동 117
 
5.0%
층 73
 
3.1%
대 55
 
2.3%
Other values (192) 1169
49.8%
Uppercase Letter
ValueCountFrequency (%)
B 7
17.5%
E 6
15.0%
R 3
 
7.5%
C 3
 
7.5%
K 3
 
7.5%
T 2
 
5.0%
A 2
 
5.0%
I 2
 
5.0%
N 2
 
5.0%
M 2
 
5.0%
Other values (5) 8
20.0%
Decimal Number
ValueCountFrequency (%)
1 108
22.8%
2 85
17.9%
3 61
12.9%
5 43
 
9.1%
0 39
 
8.2%
6 32
 
6.8%
4 31
 
6.5%
7 30
 
6.3%
8 26
 
5.5%
9 19
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
s 1
33.3%
a 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 117
97.5%
& 3
 
2.5%
Space Separator
ValueCountFrequency (%)
645
100.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2349
60.6%
Common 1486
38.3%
Latin 43
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 165
 
7.0%
로 155
 
6.6%
울 128
 
5.4%
구 125
 
5.3%
시 124
 
5.3%
별 121
 
5.2%
특 117
 
5.0%
동 117
 
5.0%
층 73
 
3.1%
대 55
 
2.3%
Other values (192) 1169
49.8%
Latin
ValueCountFrequency (%)
B 7
16.3%
E 6
14.0%
R 3
 
7.0%
C 3
 
7.0%
K 3
 
7.0%
T 2
 
4.7%
A 2
 
4.7%
I 2
 
4.7%
N 2
 
4.7%
M 2
 
4.7%
Other values (8) 11
25.6%
Common
ValueCountFrequency (%)
645
43.4%
) 122
 
8.2%
( 122
 
8.2%
, 117
 
7.9%
1 108
 
7.3%
2 85
 
5.7%
3 61
 
4.1%
5 43
 
2.9%
0 39
 
2.6%
6 32
 
2.2%
Other values (6) 112
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2349
60.6%
ASCII 1529
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
645
42.2%
) 122
 
8.0%
( 122
 
8.0%
, 117
 
7.7%
1 108
 
7.1%
2 85
 
5.6%
3 61
 
4.0%
5 43
 
2.8%
0 39
 
2.6%
6 32
 
2.1%
Other values (24) 155
 
10.1%
Hangul
ValueCountFrequency (%)
서 165
 
7.0%
로 155
 
6.6%
울 128
 
5.4%
구 125
 
5.3%
시 124
 
5.3%
별 121
 
5.2%
특 117
 
5.0%
동 117
 
5.0%
층 73
 
3.1%
대 55
 
2.3%
Other values (192) 1169
49.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)68.9%
Missing35
Missing (%)25.4%
Infinite0
Infinite (%)0.0%
Mean7578.2427
Minimum1450
Maximum110781
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T07:02:04.151187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1450
5-th percentile3059.3
Q14513
median5541
Q37242
95-th percentile8810
Maximum110781
Range109331
Interquartile range (IQR)2729

Descriptive statistics

Standard deviation13992.649
Coefficient of variation (CV)1.846424
Kurtosis47.636945
Mean7578.2427
Median Absolute Deviation (MAD)1224
Skewness6.900818
Sum780559
Variance1.9579423 × 108
MonotonicityNot monotonic
2024-05-11T07:02:04.793680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6044 3
 
2.2%
4515 3
 
2.2%
8367 3
 
2.2%
3050 3
 
2.2%
8810 3
 
2.2%
7233 3
 
2.2%
7242 3
 
2.2%
5288 3
 
2.2%
3171 3
 
2.2%
6302 3
 
2.2%
Other values (61) 73
52.9%
(Missing) 35
25.4%
ValueCountFrequency (%)
1450 1
 
0.7%
1805 1
 
0.7%
2797 1
 
0.7%
3050 3
2.2%
3143 1
 
0.7%
3154 1
 
0.7%
3155 1
 
0.7%
3156 2
1.4%
3160 1
 
0.7%
3171 3
2.2%
ValueCountFrequency (%)
110781 1
 
0.7%
100192 1
 
0.7%
12268 1
 
0.7%
8826 2
1.4%
8810 3
2.2%
8782 1
 
0.7%
8367 3
2.2%
8088 1
 
0.7%
7641 2
1.4%
7505 2
1.4%

사업장명
Text

Distinct135
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T07:02:05.455858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length12.195652
Min length4

Characters and Unicode

Total characters1683
Distinct characters219
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)95.7%

Sample

1st row영등포보현의집 부속의원
2nd row서울남부지방법원 부속 의원
3rd row바디프랜드부속의원
4th row정부서울청사 부속한의원
5th row(주)하나은행부속의원
ValueCountFrequency (%)
부속의원 14
 
7.9%
부속 4
 
2.3%
enm)부속의원 2
 
1.1%
삼성전자 2
 
1.1%
씨제이이엔엠(cj 2
 
1.1%
서울특별시 2
 
1.1%
국민은행부속치과의원 2
 
1.1%
연제의료생협부속한의원 2
 
1.1%
혜성의원 1
 
0.6%
의료생활협동조합내이새이덴부속치과의원 1
 
0.6%
Other values (145) 145
81.9%
2024-05-11T07:02:06.933703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 147
 
8.7%
의 145
 
8.6%
부 136
 
8.1%
속 124
 
7.4%
한 43
 
2.6%
39
 
2.3%
치 37
 
2.2%
과 35
 
2.1%
서 29
 
1.7%
) 24
 
1.4%
Other values (209) 924
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1552
92.2%
Space Separator 39
 
2.3%
Close Punctuation 24
 
1.4%
Open Punctuation 24
 
1.4%
Uppercase Letter 24
 
1.4%
Other Symbol 9
 
0.5%
Decimal Number 8
 
0.5%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 147
 
9.5%
의 145
 
9.3%
부 136
 
8.8%
속 124
 
8.0%
한 43
 
2.8%
치 37
 
2.4%
과 35
 
2.3%
서 29
 
1.9%
울 24
 
1.5%
생 24
 
1.5%
Other values (190) 808
52.1%
Uppercase Letter
ValueCountFrequency (%)
K 5
20.8%
S 3
12.5%
T 2
 
8.3%
N 2
 
8.3%
E 2
 
8.3%
C 2
 
8.3%
J 2
 
8.3%
M 2
 
8.3%
R 2
 
8.3%
D 2
 
8.3%
Decimal Number
ValueCountFrequency (%)
5 2
25.0%
6 2
25.0%
0 2
25.0%
2 2
25.0%
Space Separator
ValueCountFrequency (%)
39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1561
92.8%
Common 98
 
5.8%
Latin 24
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 147
 
9.4%
의 145
 
9.3%
부 136
 
8.7%
속 124
 
7.9%
한 43
 
2.8%
치 37
 
2.4%
과 35
 
2.2%
서 29
 
1.9%
울 24
 
1.5%
생 24
 
1.5%
Other values (191) 817
52.3%
Latin
ValueCountFrequency (%)
K 5
20.8%
S 3
12.5%
T 2
 
8.3%
N 2
 
8.3%
E 2
 
8.3%
C 2
 
8.3%
J 2
 
8.3%
M 2
 
8.3%
R 2
 
8.3%
D 2
 
8.3%
Common
ValueCountFrequency (%)
39
39.8%
) 24
24.5%
( 24
24.5%
& 3
 
3.1%
5 2
 
2.0%
6 2
 
2.0%
0 2
 
2.0%
2 2
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1552
92.2%
ASCII 122
 
7.2%
None 9
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 147
 
9.5%
의 145
 
9.3%
부 136
 
8.8%
속 124
 
8.0%
한 43
 
2.8%
치 37
 
2.4%
과 35
 
2.3%
서 29
 
1.9%
울 24
 
1.5%
생 24
 
1.5%
Other values (190) 808
52.1%
ASCII
ValueCountFrequency (%)
39
32.0%
) 24
19.7%
( 24
19.7%
K 5
 
4.1%
S 3
 
2.5%
& 3
 
2.5%
T 2
 
1.6%
N 2
 
1.6%
E 2
 
1.6%
C 2
 
1.6%
Other values (8) 16
13.1%
None
ValueCountFrequency (%)
㈜ 9
100.0%

최종수정일자
Date

Distinct137
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2008-12-18 18:44:32
Maximum2024-05-09 22:13:17
2024-05-11T07:02:07.558318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:02:08.191726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
U
83 
I
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 83
60.1%
I 55
39.9%

Length

2024-05-11T07:02:08.753230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:02:09.196063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 83
60.1%
i 55
39.9%

데이터갱신일자
Date

Distinct71
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T07:02:09.629593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:02:10.498545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)74.8%
Missing23
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean198478.4
Minimum182286.08
Maximum215423.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T07:02:11.089772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182286.08
5-th percentile185530.72
Q1194608.74
median198162.6
Q3202095.86
95-th percentile211525.93
Maximum215423.76
Range33137.686
Interquartile range (IQR)7487.1186

Descriptive statistics

Standard deviation6710.2715
Coefficient of variation (CV)0.033808573
Kurtosis0.77382632
Mean198478.4
Median Absolute Deviation (MAD)3872.4058
Skewness0.22935182
Sum22825016
Variance45027743
MonotonicityNot monotonic
2024-05-11T07:02:11.770588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192450.93552236 3
 
2.2%
215423.76462869 3
 
2.2%
185530.717402739 3
 
2.2%
198599.124043054 3
 
2.2%
198675.092821991 3
 
2.2%
197672.213473779 3
 
2.2%
203822.388292808 3
 
2.2%
196139.864969792 2
 
1.4%
211525.928860841 2
 
1.4%
198921.241301241 2
 
1.4%
Other values (76) 88
63.8%
(Missing) 23
 
16.7%
ValueCountFrequency (%)
182286.078276094 1
 
0.7%
183340.570262895 1
 
0.7%
184391.854585747 1
 
0.7%
184399.030561905 1
 
0.7%
185438.705020862 1
 
0.7%
185530.717402739 3
2.2%
187923.378903525 1
 
0.7%
190353.477730395 1
 
0.7%
191586.345450482 1
 
0.7%
192164.787576508 1
 
0.7%
ValueCountFrequency (%)
215423.76462869 3
2.2%
214907.13751595 1
 
0.7%
211878.097723811 1
 
0.7%
211525.928860841 2
1.4%
210512.374191828 1
 
0.7%
210231.99764679 1
 
0.7%
209409.377087526 1
 
0.7%
208808.460094719 1
 
0.7%
207156.269772055 1
 
0.7%
205799.523483792 1
 
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)74.8%
Missing23
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean448116.89
Minimum439023.17
Maximum460394.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T07:02:12.311632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439023.17
5-th percentile440658.83
Q1444779.98
median448816.09
Q3451533.43
95-th percentile453902.52
Maximum460394.33
Range21371.163
Interquartile range (IQR)6753.4462

Descriptive statistics

Standard deviation4511.0116
Coefficient of variation (CV)0.010066596
Kurtosis-0.6374691
Mean448116.89
Median Absolute Deviation (MAD)3130.9905
Skewness-0.13781208
Sum51533442
Variance20349226
MonotonicityNot monotonic
2024-05-11T07:02:12.859389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447649.476828035 3
 
2.2%
449636.964226068 3
 
2.2%
441675.376027035 3
 
2.2%
453898.945688558 3
 
2.2%
440118.574000488 3
 
2.2%
451336.718396022 3
 
2.2%
442131.941663523 3
 
2.2%
439023.167125842 2
 
1.4%
446381.991026383 2
 
1.4%
451495.985361171 2
 
1.4%
Other values (76) 88
63.8%
(Missing) 23
 
16.7%
ValueCountFrequency (%)
439023.167125842 2
1.4%
440118.574000488 3
2.2%
440438.965829416 1
 
0.7%
440753.054035 1
 
0.7%
440753.993971457 1
 
0.7%
441019.955686197 1
 
0.7%
441675.376027035 3
2.2%
441881.427207575 2
1.4%
442131.941663523 3
2.2%
442207.174142076 1
 
0.7%
ValueCountFrequency (%)
460394.329853007 1
 
0.7%
456783.723389013 1
 
0.7%
456570.084566278 1
 
0.7%
456126.193794505 1
 
0.7%
455135.778600391 1
 
0.7%
453910.875048844 1
 
0.7%
453898.945688558 3
2.2%
453314.135663101 1
 
0.7%
452922.376839569 1
 
0.7%
452920.29167189 1
 
0.7%

의료기관종별명
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
68 
부속의원
65 
병무청
 
2
부속병원
 
1
기타
 
1

Length

Max length4
Median length4
Mean length3.9710145
Min length2

Unique

Unique3 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
49.3%
부속의원 65
47.1%
병무청 2
 
1.4%
부속병원 1
 
0.7%
기타 1
 
0.7%
학교시설 1
 
0.7%

Length

2024-05-11T07:02:13.514515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:02:13.877617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
49.3%
부속의원 65
47.1%
병무청 2
 
1.4%
부속병원 1
 
0.7%
기타 1
 
0.7%
학교시설 1
 
0.7%

의료인수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)10.0%
Missing68
Missing (%)49.3%
Infinite0
Infinite (%)0.0%
Mean1.5857143
Minimum0
Maximum10
Zeros2
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T07:02:14.237977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4192553
Coefficient of variation (CV)0.89502589
Kurtosis20.027612
Mean1.5857143
Median Absolute Deviation (MAD)0
Skewness4.0012287
Sum111
Variance2.0142857
MonotonicityNot monotonic
2024-05-11T07:02:14.703180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 45
32.6%
2 15
 
10.9%
3 5
 
3.6%
0 2
 
1.4%
4 1
 
0.7%
7 1
 
0.7%
10 1
 
0.7%
(Missing) 68
49.3%
ValueCountFrequency (%)
0 2
 
1.4%
1 45
32.6%
2 15
 
10.9%
3 5
 
3.6%
4 1
 
0.7%
7 1
 
0.7%
10 1
 
0.7%
ValueCountFrequency (%)
10 1
 
0.7%
7 1
 
0.7%
4 1
 
0.7%
3 5
 
3.6%
2 15
 
10.9%
1 45
32.6%
0 2
 
1.4%

입원실수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
70 
<NA>
68 

Length

Max length4
Median length1
Mean length2.4782609
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 70
50.7%
<NA> 68
49.3%

Length

2024-05-11T07:02:15.230338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:02:15.726416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 70
50.7%
na 68
49.3%

병상수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
70 
<NA>
68 

Length

Max length4
Median length1
Mean length2.4782609
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 70
50.7%
<NA> 68
49.3%

Length

2024-05-11T07:02:16.300943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:02:16.719171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 70
50.7%
na 68
49.3%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct49
Distinct (%)70.0%
Missing68
Missing (%)49.3%
Infinite0
Infinite (%)0.0%
Mean149.52686
Minimum0
Maximum1510
Zeros20
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T07:02:17.249338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median70.025
Q3190.31
95-th percentile614.611
Maximum1510
Range1510
Interquartile range (IQR)190.31

Descriptive statistics

Standard deviation243.82557
Coefficient of variation (CV)1.6306473
Kurtosis14.633809
Mean149.52686
Median Absolute Deviation (MAD)70.025
Skewness3.3934471
Sum10466.88
Variance59450.908
MonotonicityNot monotonic
2024-05-11T07:02:17.745895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.0 20
 
14.5%
73.48 2
 
1.4%
239.86 2
 
1.4%
170.3 1
 
0.7%
212.0 1
 
0.7%
129.8 1
 
0.7%
37.8 1
 
0.7%
19.76 1
 
0.7%
193.0 1
 
0.7%
187.5 1
 
0.7%
Other values (39) 39
28.3%
(Missing) 68
49.3%
ValueCountFrequency (%)
0.0 20
14.5%
7.58 1
 
0.7%
10.0 1
 
0.7%
13.2 1
 
0.7%
19.76 1
 
0.7%
24.84 1
 
0.7%
29.75 1
 
0.7%
30.0 1
 
0.7%
36.2 1
 
0.7%
37.8 1
 
0.7%
ValueCountFrequency (%)
1510.0 1
0.7%
871.66 1
0.7%
773.44 1
0.7%
669.7 1
0.7%
547.28 1
0.7%
451.05 1
0.7%
358.32 1
0.7%
334.0 1
0.7%
273.99 1
0.7%
245.0 1
0.7%

진료과목내용
Categorical

Distinct28
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
68 
101
24 
401
15 
122
 
5
101 113 114
 
2
Other values (23)
24 

Length

Max length39
Median length35
Mean length6.1884058
Min length3

Unique

Unique22 ?
Unique (%)15.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
49.3%
101 24
 
17.4%
401 15
 
10.9%
122 5
 
3.6%
101 113 114 2
 
1.4%
301 304 307 302 305 308 303 306 309 2
 
1.4%
123 1
 
0.7%
101 104 1
 
0.7%
122 114 1
 
0.7%
120 105 101 1
 
0.7%
Other values (18) 18
 
13.0%

Length

2024-05-11T07:02:18.337461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 68
29.4%
101 34
14.7%
401 15
 
6.5%
122 9
 
3.9%
303 8
 
3.5%
302 7
 
3.0%
308 7
 
3.0%
305 7
 
3.0%
304 7
 
3.0%
301 7
 
3.0%
Other values (29) 62
26.8%

진료과목내용명
Categorical

Distinct26
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
68 
내과
24 
치과
15 
가정의학과
 
5
한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과, 한방응급과
 
4
Other values (21)
22 

Length

Max length69
Median length4
Mean length8.3985507
Min length2

Unique

Unique20 ?
Unique (%)14.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
49.3%
내과 24
 
17.4%
치과 15
 
10.9%
가정의학과 5
 
3.6%
한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과, 한방응급과 4
 
2.9%
내과, 이비인후과, 피부과 2
 
1.4%
핵의학과 1
 
0.7%
내과, 외과 1
 
0.7%
피부과, 가정의학과 1
 
0.7%
내과, 정형외과, 재활의학과 1
 
0.7%
Other values (16) 16
 
11.6%

Length

2024-05-11T07:02:18.826537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 68
29.4%
내과 34
14.7%
치과 15
 
6.5%
가정의학과 9
 
3.9%
한방소아과 8
 
3.5%
한방안?이비인후?피부과 7
 
3.0%
한방신경정신과 7
 
3.0%
침구과 7
 
3.0%
한방부인과 7
 
3.0%
한방내과 7
 
3.0%
Other values (29) 62
26.8%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

구급차특수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
70 
<NA>
68 

Length

Max length4
Median length1
Mean length2.4782609
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 70
50.7%
<NA> 68
49.3%

Length

2024-05-11T07:02:19.676106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:02:20.190472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 70
50.7%
na 68
49.3%

구급차일반
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
70 
<NA>
68 

Length

Max length4
Median length1
Mean length2.4782609
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 70
50.7%
<NA> 68
49.3%

Length

2024-05-11T07:02:20.602115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:02:20.946564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 70
50.7%
na 68
49.3%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

허가병상수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
70 
<NA>
68 

Length

Max length4
Median length1
Mean length2.4782609
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 70
50.7%
<NA> 68
49.3%

Length

2024-05-11T07:02:21.370521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:02:21.729090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 70
50.7%
na 68
49.3%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing138
Missing (%)100.0%
Memory size1.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03180000PHMA3201731800340413000012017-03-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2133-7493<NA><NA>서울특별시 영등포구 영등포동2가 94번지 31호 1층서울특별시 영등포구 버드나루로 24, 1층 (영등포동2가, 보현의집)7254영등포보현의집 부속의원2023-04-06 22:43:19U2022-12-04 00:08:00.0<NA>192208.245143446551.561824<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13140000PHMA3202431400330413000012024-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2192-1999<NA><NA>서울특별시 양천구 신정동 313-1 서울남부지방법원서울특별시 양천구 신월로 386, 서울남부지방법원 6층 609호 (신정동)8088서울남부지방법원 부속 의원2024-05-02 20:16:45I2023-12-05 00:04:00.0<NA>187923.378904446606.56549<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23220000PHMA3201732200330413000012017-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3448-8980<NA><NA>서울특별시 강남구 도곡동 448-2 바디프랜드 도곡타워서울특별시 강남구 양재천로 163, 바디프랜드 도곡타워 5층 (도곡동)6302바디프랜드부속의원2024-04-05 05:13:31U2023-12-04 00:07:00.0<NA>203822.388293442131.941664<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33000000PHMA3202030000340413000012020-01-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2100-4549<NA><NA>서울특별시 종로구 세종로 77번지 6호 정부서울청사 210호서울특별시 종로구 세종대로 209, 정부서울청사 210호 (세종로)3171정부서울청사 부속한의원2024-04-12 15:16:25U2023-12-03 23:04:00.0<NA>197759.173463452506.212481<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43010000PHMA31983301003304130000119831114<NA>1영업/정상13영업중<NA><NA><NA><NA>2002-2153<NA><NA>서울특별시 중구 을지로1가 101번지 1호 8층서울특별시 중구 을지로 35, 8층 (을지로1가, 하나은행)4523(주)하나은행부속의원2023-01-19 13:43:40U2022-11-30 22:01:00.0<NA>198338.0956451573.12946<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53020000PHMA3202330200330413000012023-12-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로3가 65-9 HYBE 7층 005호서울특별시 용산구 한강대로 42, HYBE 7층 005호 (한강로3가)4389하이브 헬스케어 부속의원2023-12-29 00:43:15U2022-11-01 21:01:00.0<NA>196768.132357446931.975248<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63210000PHMA32015321003404130000220151123<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6147-3699<NA><NA><NA>서울특별시 서초구 성촌길 34, F동 지1층 (우면동, (주)삼성전자 우면R&D 쎈터)6765삼성전자 서울R&D부속 치과의원2022-04-07 17:40:09U2021-12-04 00:09:00.0<NA>202147.006166440753.054035<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73120000PHMA3199631200330213000011996-09-01<NA>1영업/정상13영업중<NA><NA><NA><NA>2123-3346<NA><NA>서울특별시 서대문구 신촌동 연세대학교서울특별시 서대문구 연세로 50 (신촌동, 연세대학교)3722연세대학교부속건강센터2023-02-28 10:19:11U2022-12-03 00:03:00.0<NA>194584.959249451381.585492<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83220000PHMA3202432200330413000012024-01-11<NA>1영업/정상13영업중<NA><NA><NA><NA>1599-9073<NA><NA>서울특별시 강남구 삼성동 143-40 위워크타워 3층 일부서울특별시 강남구 테헤란로 427, 위워크타워 3층 (삼성동)6159메디스트림부속한의원2024-02-26 09:47:48U2023-12-01 22:08:00.0<NA>204673.88542444906.388066<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93100000PHMA3201331000340213000012013-01-25<NA>3폐업3폐업2023-07-27<NA><NA><NA>2197-0912<NA>139-804서울특별시 노원구 공릉동 산 230번지 30호서울특별시 노원구 화랑로 574 (공릉동)1805육군사관학교2023-07-26 15:59:44U2022-12-06 22:08:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
1283200000PHMA32010320003304130000120100719<NA>3폐업3폐업20100727<NA><NA><NA><NA><NA>151839서울특별시 관악구 청룡동 945번지 1호 2층서울특별시 관악구 남부순환로 1702 (봉천동,2층)<NA>대한의료소비자 생활협동조합 부속의원2010-07-28 16:24:52I2018-08-31 23:59:59.0<NA>194548.651692442330.324311부속의원100239.86101 102 105내과, 신경과, 정형외과<NA><NA><NA>00<NA><NA>0<NA>
1293200000PHMA32010320003304130000320100802<NA>3폐업3폐업20101021<NA><NA><NA><NA><NA>151820서울특별시 관악구 청룡동 1568번지 1호 201호서울특별시 관악구 쑥고개로 123 (봉천동,201호)<NA>연제의료생협부속한의원2010-10-21 14:20:51I2018-08-31 23:59:59.0<NA>195537.455759441881.427208부속의원10073.48301 304 302 305 303 308한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
1303200000PHMA32010320003304130000420101025<NA>3폐업3폐업20101220<NA><NA><NA><NA><NA>151820서울특별시 관악구 청룡동 1568번지 1호 2층서울특별시 관악구 쑥고개로 123 (봉천동,2층)<NA>연제의료생협부속한의원2010-12-20 17:24:06I2018-08-31 23:59:59.0<NA>195537.455759441881.427208부속의원10073.48305 302 301 304 306 303 309 308 307한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과, 한방응급과<NA><NA><NA>00<NA><NA>0<NA>
1313210000PHMA32004321003404130000120040914<NA>3폐업3폐업20110509<NA><NA><NA>721-2747<NA>137855서울특별시 서초구 서초4동 1303번지 22호 교보타워 3층서울특별시 서초구 강남대로 465 (서초동,교보타워 3층)<NA>교보생명보험(주)부속의원2013-03-27 09:47:25I2018-08-31 23:59:59.0<NA>202058.674687444618.167315부속의원100871.66122 119 116영상의학과, 진단검사의학과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
1323210000PHMA32007321003404130000120070720<NA>3폐업3폐업20101215<NA><NA><NA>3451-1474<NA>137072서울특별시 서초구 서초2동 1321번지 15호 삼성생명서초타워 3층서울특별시 서초구 서초대로74길 4 (서초동,삼성생명서초타워 3층)<NA>삼성생명부속강남의원2010-12-15 16:38:24I2018-08-31 23:59:59.0<NA>202210.515559443837.76153부속의원100773.44101 116내과, 영상의학과<NA><NA><NA>00<NA><NA>0<NA>
1333210000PHMA32014321003404130000220141203<NA>1영업/정상13영업중<NA><NA><NA><NA>02-530-1268<NA>137735서울특별시 서초구 서초동 1701번지 1호 동관7층서울특별시 서초구 서초중앙로 157 (서초동, 동관7층)6594서울법원종합청사부속의원2018-09-19 13:37:07U2018-09-19 23:59:59.0<NA>200939.26282443867.172594부속의원200111.53101내과<NA><NA><NA>00<NA><NA>0<NA>
1343210000PHMA32020321003404130000120200324<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3480-1313<NA><NA>서울특별시 서초구 서초동 967번지 대법원청사 1층서울특별시 서초구 서초대로 219, 대법원 청사 1층 (서초동)6590법원행정처 부속의원2020-04-02 23:43:19U2020-04-04 02:40:00.0<NA>200403.913823443343.49736부속의원20083.64122 101내과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
1353220000PHMA32021322003304130000120210802<NA>3폐업3폐업20220702<NA><NA><NA>02-2088-8700<NA><NA>서울특별시 강남구 논현동 44-7 B1층 일부서울특별시 강남구 학동로9길 19, B1층 일부 (논현동)6044코코네부속의원2022-06-30 22:43:31U2021-12-07 00:02:00.0<NA>202035.001178445685.099726<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1363230000PHMA3200532300340413015562005-10-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-402-9131<NA><NA>서울특별시 송파구 문정동 648번지서울특별시 송파구 정의로 37 (문정동)5857서울동부구치소부속의원2024-05-03 03:13:23U2023-12-05 00:05:00.0<NA>210231.997647442207.174142<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1373220000PHMA32017322003304130000320170410<NA>3폐업3폐업20221231<NA><NA><NA>02-3448-8780<NA><NA>서울특별시 강남구 도곡동 448-2 바디프랜드 도곡타워서울특별시 강남구 양재천로 163, 바디프랜드 도곡타워 5층 (도곡동)6302바디프랜드부속한의원2023-01-11 21:23:32U2022-11-30 23:03:00.0<NA>203822.388293442131.941664<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>