Overview

Dataset statistics

Number of variables41
Number of observations27
Missing cells377
Missing cells (%)34.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.4 KiB
Average record size in memory357.9 B

Variable types

Categorical13
Text8
DateTime3
Unsupported8
Numeric9

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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-16179/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (77.1%)Imbalance
휴업종료일자 is highly imbalanced (77.1%)Imbalance
인허가취소일자 has 27 (100.0%) missing valuesMissing
폐업일자 has 20 (74.1%) missing valuesMissing
재개업일자 has 27 (100.0%) missing valuesMissing
전화번호 has 6 (22.2%) missing valuesMissing
소재지면적 has 19 (70.4%) missing valuesMissing
소재지우편번호 has 18 (66.7%) missing valuesMissing
지번주소 has 6 (22.2%) missing valuesMissing
도로명주소 has 1 (3.7%) missing valuesMissing
도로명우편번호 has 5 (18.5%) missing valuesMissing
좌표정보(X) has 1 (3.7%) missing valuesMissing
좌표정보(Y) has 1 (3.7%) missing valuesMissing
의료인수 has 14 (51.9%) missing valuesMissing
입원실수 has 14 (51.9%) missing valuesMissing
병상수 has 14 (51.9%) missing valuesMissing
총면적 has 14 (51.9%) missing valuesMissing
진료과목내용 has 14 (51.9%) missing valuesMissing
진료과목내용명 has 14 (51.9%) missing valuesMissing
지정취소일자 has 27 (100.0%) missing valuesMissing
완화의료지정형태 has 27 (100.0%) missing valuesMissing
완화의료담당부서명 has 27 (100.0%) missing valuesMissing
총인원 has 27 (100.0%) missing valuesMissing
구조사수 has 27 (100.0%) missing valuesMissing
최초지정일자 has 27 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료지정형태 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료담당부서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구조사수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
입원실수 has 4 (14.8%) zerosZeros
병상수 has 1 (3.7%) zerosZeros

Reproduction

Analysis started2024-04-06 12:16:44.382729
Analysis finished2024-04-06 12:16:45.296974
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
3200000
27 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 27
100.0%

Length

2024-04-06T21:16:45.420087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:45.643570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 27
100.0%

관리번호
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-04-06T21:16:45.959067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters675
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

Unique27 ?
Unique (%)100.0%

Sample

1st rowPHMA219843200033021200001
2nd rowPHMA219883200033021200001
3rd rowPHMA219953200033021200001
4th rowPHMA219973200033021200001
5th rowPHMA220053200033021200001
ValueCountFrequency (%)
phma219843200033021200001 1
 
3.7%
phma220123200033021200001 1
 
3.7%
phma220213200033021200001 1
 
3.7%
phma220203200033021200001 1
 
3.7%
phma220193200033021200002 1
 
3.7%
phma220193200033021200001 1
 
3.7%
phma220183200033021200001 1
 
3.7%
phma220153200033021200002 1
 
3.7%
phma220153200033021200001 1
 
3.7%
phma220143200033021200002 1
 
3.7%
Other values (17) 17
63.0%
2024-04-06T21:16:46.688935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 250
37.0%
2 143
21.2%
3 84
 
12.4%
1 64
 
9.5%
P 27
 
4.0%
H 27
 
4.0%
M 27
 
4.0%
A 27
 
4.0%
9 9
 
1.3%
8 5
 
0.7%
Other values (4) 12
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 567
84.0%
Uppercase Letter 108
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 250
44.1%
2 143
25.2%
3 84
 
14.8%
1 64
 
11.3%
9 9
 
1.6%
8 5
 
0.9%
5 4
 
0.7%
4 3
 
0.5%
7 3
 
0.5%
6 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 27
25.0%
H 27
25.0%
M 27
25.0%
A 27
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 567
84.0%
Latin 108
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 250
44.1%
2 143
25.2%
3 84
 
14.8%
1 64
 
11.3%
9 9
 
1.6%
8 5
 
0.9%
5 4
 
0.7%
4 3
 
0.5%
7 3
 
0.5%
6 2
 
0.4%
Latin
ValueCountFrequency (%)
P 27
25.0%
H 27
25.0%
M 27
25.0%
A 27
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 675
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 250
37.0%
2 143
21.2%
3 84
 
12.4%
1 64
 
9.5%
P 27
 
4.0%
H 27
 
4.0%
M 27
 
4.0%
A 27
 
4.0%
9 9
 
1.3%
8 5
 
0.7%
Other values (4) 12
 
1.8%

인허가일자
Date

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum1980-06-20 00:00:00
Maximum2022-06-27 00:00:00
2024-04-06T21:16:46.968532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:16:47.268235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
1
20 
3
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 20
74.1%
3 7
 
25.9%

Length

2024-04-06T21:16:47.625496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:47.874849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
74.1%
3 7
 
25.9%

영업상태명
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
영업/정상
20 
폐업
7 

Length

Max length5
Median length5
Mean length4.2222222
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 20
74.1%
폐업 7
 
25.9%

Length

2024-04-06T21:16:48.090410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:48.263596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 20
74.1%
폐업 7
 
25.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
13
20 
3
7 

Length

Max length2
Median length2
Mean length1.7407407
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 20
74.1%
3 7
 
25.9%

Length

2024-04-06T21:16:48.455957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:48.639604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 20
74.1%
3 7
 
25.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
영업중
20 
폐업
7 

Length

Max length3
Median length3
Mean length2.7407407
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 20
74.1%
폐업 7
 
25.9%

Length

2024-04-06T21:16:48.832486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:49.000529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 20
74.1%
폐업 7
 
25.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing20
Missing (%)74.1%
Infinite0
Infinite (%)0.0%
Mean20105050
Minimum20081016
Maximum20120921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-04-06T21:16:49.173894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081016
5-th percentile20086810
Q120100618
median20100930
Q320115624
95-th percentile20120710
Maximum20120921
Range39905
Interquartile range (IQR)15005

Descriptive statistics

Standard deviation13854.709
Coefficient of variation (CV)0.00068911588
Kurtosis0.3294702
Mean20105050
Median Absolute Deviation (MAD)10101
Skewness-0.5641109
Sum1.4073535 × 108
Variance1.9195297 × 108
MonotonicityNot monotonic
2024-04-06T21:16:49.411684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20100906 1
 
3.7%
20111031 1
 
3.7%
20100331 1
 
3.7%
20081016 1
 
3.7%
20100930 1
 
3.7%
20120216 1
 
3.7%
20120921 1
 
3.7%
(Missing) 20
74.1%
ValueCountFrequency (%)
20081016 1
3.7%
20100331 1
3.7%
20100906 1
3.7%
20100930 1
3.7%
20111031 1
3.7%
20120216 1
3.7%
20120921 1
3.7%
ValueCountFrequency (%)
20120921 1
3.7%
20120216 1
3.7%
20111031 1
3.7%
20100930 1
3.7%
20100906 1
3.7%
20100331 1
3.7%
20081016 1
3.7%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
26 
20100901
 
1

Length

Max length8
Median length4
Mean length4.1481481
Min length4

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
96.3%
20100901 1
 
3.7%

Length

2024-04-06T21:16:49.690693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:49.886531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
96.3%
20100901 1
 
3.7%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
26 
20110228
 
1

Length

Max length8
Median length4
Mean length4.1481481
Min length4

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
96.3%
20110228 1
 
3.7%

Length

2024-04-06T21:16:50.151115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:50.358299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
96.3%
20110228 1
 
3.7%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

전화번호
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing6
Missing (%)22.2%
Memory size348.0 B
2024-04-06T21:16:50.629252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10
Min length8

Characters and Unicode

Total characters210
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

Unique21 ?
Unique (%)100.0%

Sample

1st row02-1877-8875
2nd row1661-8267
3rd row02-880-0114
4th row534-2500
5th row853-4600
ValueCountFrequency (%)
02-1877-8875 1
 
4.8%
1644-4630 1
 
4.8%
02-553-7000 1
 
4.8%
02-878-8875 1
 
4.8%
02-1644-8511 1
 
4.8%
02-3427-8275 1
 
4.8%
02-8787-119 1
 
4.8%
6747-6114 1
 
4.8%
1588-3330 1
 
4.8%
888-8866 1
 
4.8%
Other values (11) 11
52.4%
2024-04-06T21:16:51.231853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 34
16.2%
8 33
15.7%
- 26
12.4%
2 23
11.0%
1 18
8.6%
7 18
8.6%
6 17
8.1%
5 16
7.6%
4 11
 
5.2%
3 9
 
4.3%
Other values (2) 5
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 183
87.1%
Dash Punctuation 26
 
12.4%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 34
18.6%
8 33
18.0%
2 23
12.6%
1 18
9.8%
7 18
9.8%
6 17
9.3%
5 16
8.7%
4 11
 
6.0%
3 9
 
4.9%
9 4
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 210
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 34
16.2%
8 33
15.7%
- 26
12.4%
2 23
11.0%
1 18
8.6%
7 18
8.6%
6 17
8.1%
5 16
7.6%
4 11
 
5.2%
3 9
 
4.3%
Other values (2) 5
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 210
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 34
16.2%
8 33
15.7%
- 26
12.4%
2 23
11.0%
1 18
8.6%
7 18
8.6%
6 17
8.1%
5 16
7.6%
4 11
 
5.2%
3 9
 
4.3%
Other values (2) 5
 
2.4%

소재지면적
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing19
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean2405.3912
Minimum238.92
Maximum5888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-04-06T21:16:51.446769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238.92
5-th percentile495.498
Q11219.86
median1743.31
Q33327.1525
95-th percentile5359.626
Maximum5888
Range5649.08
Interquartile range (IQR)2107.2925

Descriptive statistics

Standard deviation1901.7571
Coefficient of variation (CV)0.79062277
Kurtosis0.10170714
Mean2405.3912
Median Absolute Deviation (MAD)1002.375
Skewness0.96417263
Sum19243.13
Variance3616680.1
MonotonicityNot monotonic
2024-04-06T21:16:51.641926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5888.0 1
 
3.7%
2976.75 1
 
3.7%
4378.36 1
 
3.7%
972.0 1
 
3.7%
1996.11 1
 
3.7%
238.92 1
 
3.7%
1302.48 1
 
3.7%
1490.51 1
 
3.7%
(Missing) 19
70.4%
ValueCountFrequency (%)
238.92 1
3.7%
972.0 1
3.7%
1302.48 1
3.7%
1490.51 1
3.7%
1996.11 1
3.7%
2976.75 1
3.7%
4378.36 1
3.7%
5888.0 1
3.7%
ValueCountFrequency (%)
5888.0 1
3.7%
4378.36 1
3.7%
2976.75 1
3.7%
1996.11 1
3.7%
1490.51 1
3.7%
1302.48 1
3.7%
972.0 1
3.7%
238.92 1
3.7%

소재지우편번호
Text

MISSING 

Distinct8
Distinct (%)88.9%
Missing18
Missing (%)66.7%
Memory size348.0 B
2024-04-06T21:16:51.882113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2222222
Min length6

Characters and Unicode

Total characters56
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

Unique7 ?
Unique (%)77.8%

Sample

1st row151841
2nd row151891
3rd row151050
4th row151018
5th row151-826
ValueCountFrequency (%)
151902 2
22.2%
151841 1
11.1%
151891 1
11.1%
151050 1
11.1%
151018 1
11.1%
151-826 1
11.1%
151711 1
11.1%
151-887 1
11.1%
2024-04-06T21:16:52.384862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 23
41.1%
5 10
17.9%
8 6
 
10.7%
0 5
 
8.9%
9 3
 
5.4%
2 3
 
5.4%
- 2
 
3.6%
7 2
 
3.6%
4 1
 
1.8%
6 1
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54
96.4%
Dash Punctuation 2
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 23
42.6%
5 10
18.5%
8 6
 
11.1%
0 5
 
9.3%
9 3
 
5.6%
2 3
 
5.6%
7 2
 
3.7%
4 1
 
1.9%
6 1
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 56
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 23
41.1%
5 10
17.9%
8 6
 
10.7%
0 5
 
8.9%
9 3
 
5.4%
2 3
 
5.4%
- 2
 
3.6%
7 2
 
3.6%
4 1
 
1.8%
6 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 23
41.1%
5 10
17.9%
8 6
 
10.7%
0 5
 
8.9%
9 3
 
5.4%
2 3
 
5.4%
- 2
 
3.6%
7 2
 
3.6%
4 1
 
1.8%
6 1
 
1.8%

지번주소
Text

MISSING 

Distinct20
Distinct (%)95.2%
Missing6
Missing (%)22.2%
Memory size348.0 B
2024-04-06T21:16:52.764021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length25.380952
Min length15

Characters and Unicode

Total characters533
Distinct characters58
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

Unique19 ?
Unique (%)90.5%

Sample

1st row서울특별시 관악구 신림동 10번지 715호 양지병원
2nd row서울특별시 관악구 청룡동 883번지 14호
3rd row관악구 봉천8동 945-10
4th row관악구 봉천9동 937-15 (5-7층)
5th row서울특별시 관악구 신림동 543-18 강남힐병원
ValueCountFrequency (%)
관악구 21
18.8%
서울특별시 19
17.0%
신림동 9
 
8.0%
봉천동 6
 
5.4%
6호 5
 
4.5%
1643번지 4
 
3.6%
조원동 2
 
1.8%
대연빌딩 2
 
1.8%
1673번지 1
 
0.9%
남현동 1
 
0.9%
Other values (42) 42
37.5%
2024-04-06T21:16:53.450309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
 
17.1%
1 24
 
4.5%
관 21
 
3.9%
악 21
 
3.9%
구 21
 
3.9%
동 21
 
3.9%
서 19
 
3.6%
특 19
 
3.6%
별 19
 
3.6%
시 19
 
3.6%
Other values (48) 258
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 306
57.4%
Decimal Number 119
 
22.3%
Space Separator 91
 
17.1%
Other Punctuation 7
 
1.3%
Dash Punctuation 7
 
1.3%
Close Punctuation 1
 
0.2%
Math Symbol 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 21
 
6.9%
악 21
 
6.9%
구 21
 
6.9%
동 21
 
6.9%
서 19
 
6.2%
특 19
 
6.2%
별 19
 
6.2%
시 19
 
6.2%
울 19
 
6.2%
지 17
 
5.6%
Other values (32) 110
35.9%
Decimal Number
ValueCountFrequency (%)
1 24
20.2%
6 17
14.3%
5 14
11.8%
4 13
10.9%
3 13
10.9%
8 13
10.9%
7 9
 
7.6%
2 7
 
5.9%
9 6
 
5.0%
0 3
 
2.5%
Space Separator
ValueCountFrequency (%)
91
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 306
57.4%
Common 227
42.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 21
 
6.9%
악 21
 
6.9%
구 21
 
6.9%
동 21
 
6.9%
서 19
 
6.2%
특 19
 
6.2%
별 19
 
6.2%
시 19
 
6.2%
울 19
 
6.2%
지 17
 
5.6%
Other values (32) 110
35.9%
Common
ValueCountFrequency (%)
91
40.1%
1 24
 
10.6%
6 17
 
7.5%
5 14
 
6.2%
4 13
 
5.7%
3 13
 
5.7%
8 13
 
5.7%
7 9
 
4.0%
, 7
 
3.1%
- 7
 
3.1%
Other values (6) 19
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 306
57.4%
ASCII 227
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
40.1%
1 24
 
10.6%
6 17
 
7.5%
5 14
 
6.2%
4 13
 
5.7%
3 13
 
5.7%
8 13
 
5.7%
7 9
 
4.0%
, 7
 
3.1%
- 7
 
3.1%
Other values (6) 19
 
8.4%
Hangul
ValueCountFrequency (%)
관 21
 
6.9%
악 21
 
6.9%
구 21
 
6.9%
동 21
 
6.9%
서 19
 
6.2%
특 19
 
6.2%
별 19
 
6.2%
시 19
 
6.2%
울 19
 
6.2%
지 17
 
5.6%
Other values (32) 110
35.9%

도로명주소
Text

MISSING 

Distinct25
Distinct (%)96.2%
Missing1
Missing (%)3.7%
Memory size348.0 B
2024-04-06T21:16:53.830745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length32.423077
Min length23

Characters and Unicode

Total characters843
Distinct characters71
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

Unique24 ?
Unique (%)92.3%

Sample

1st row서울특별시 관악구 남부순환로 1636, 양지병원 (신림동)
2nd row서울특별시 관악구 남부순환로 1782 (봉천동)
3rd row서울특별시 관악구 관악로 242 (봉천동)
4th row서울특별시 관악구 남부순환로 1860, -1,1,3,4,5층 (봉천동, )
5th row서울특별시 관악구 남부순환로 1710 (봉천동)
ValueCountFrequency (%)
서울특별시 26
16.0%
관악구 26
16.0%
신림동 13
 
8.0%
남부순환로 13
 
8.0%
봉천동 11
 
6.7%
시흥대로 4
 
2.5%
572 4
 
2.5%
1485 2
 
1.2%
대연빌딩 2
 
1.2%
1814 2
 
1.2%
Other values (55) 60
36.8%
2024-04-06T21:16:54.543122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
 
16.4%
, 43
 
5.1%
1 31
 
3.7%
시 30
 
3.6%
관 28
 
3.3%
악 28
 
3.3%
울 26
 
3.1%
) 26
 
3.1%
동 26
 
3.1%
( 26
 
3.1%
Other values (61) 441
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 475
56.3%
Space Separator 138
 
16.4%
Decimal Number 128
 
15.2%
Other Punctuation 43
 
5.1%
Close Punctuation 26
 
3.1%
Open Punctuation 26
 
3.1%
Math Symbol 5
 
0.6%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 30
 
6.3%
관 28
 
5.9%
악 28
 
5.9%
울 26
 
5.5%
동 26
 
5.5%
서 26
 
5.5%
구 26
 
5.5%
별 26
 
5.5%
특 26
 
5.5%
로 25
 
5.3%
Other values (45) 208
43.8%
Decimal Number
ValueCountFrequency (%)
1 31
24.2%
5 16
12.5%
4 16
12.5%
6 13
10.2%
2 13
10.2%
7 13
10.2%
8 11
 
8.6%
3 9
 
7.0%
0 3
 
2.3%
9 3
 
2.3%
Space Separator
ValueCountFrequency (%)
138
100.0%
Other Punctuation
ValueCountFrequency (%)
, 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 475
56.3%
Common 368
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 30
 
6.3%
관 28
 
5.9%
악 28
 
5.9%
울 26
 
5.5%
동 26
 
5.5%
서 26
 
5.5%
구 26
 
5.5%
별 26
 
5.5%
특 26
 
5.5%
로 25
 
5.3%
Other values (45) 208
43.8%
Common
ValueCountFrequency (%)
138
37.5%
, 43
 
11.7%
1 31
 
8.4%
) 26
 
7.1%
( 26
 
7.1%
5 16
 
4.3%
4 16
 
4.3%
6 13
 
3.5%
2 13
 
3.5%
7 13
 
3.5%
Other values (6) 33
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 475
56.3%
ASCII 368
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
37.5%
, 43
 
11.7%
1 31
 
8.4%
) 26
 
7.1%
( 26
 
7.1%
5 16
 
4.3%
4 16
 
4.3%
6 13
 
3.5%
2 13
 
3.5%
7 13
 
3.5%
Other values (6) 33
 
9.0%
Hangul
ValueCountFrequency (%)
시 30
 
6.3%
관 28
 
5.9%
악 28
 
5.9%
울 26
 
5.5%
동 26
 
5.5%
서 26
 
5.5%
구 26
 
5.5%
별 26
 
5.5%
특 26
 
5.5%
로 25
 
5.3%
Other values (45) 208
43.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing5
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean21784
Minimum8716
Maximum151902
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-04-06T21:16:54.764686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8716
5-th percentile8735.2
Q18761
median8778
Q38788.5
95-th percentile144672.2
Maximum151902
Range143186
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation42101.962
Coefficient of variation (CV)1.9327012
Kurtosis8.084993
Mean21784
Median Absolute Deviation (MAD)17
Skewness3.0586737
Sum479248
Variance1.7725752 × 109
MonotonicityNot monotonic
2024-04-06T21:16:54.993119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
8776 2
 
7.4%
8761 2
 
7.4%
8787 2
 
7.4%
8735 1
 
3.7%
8806 1
 
3.7%
8739 1
 
3.7%
8826 1
 
3.7%
8754 1
 
3.7%
8864 1
 
3.7%
8779 1
 
3.7%
Other values (9) 9
33.3%
(Missing) 5
18.5%
ValueCountFrequency (%)
8716 1
3.7%
8735 1
3.7%
8739 1
3.7%
8754 1
3.7%
8758 1
3.7%
8761 2
7.4%
8767 1
3.7%
8776 2
7.4%
8777 1
3.7%
8779 1
3.7%
ValueCountFrequency (%)
151902 1
3.7%
151820 1
3.7%
8864 1
3.7%
8826 1
3.7%
8806 1
3.7%
8789 1
3.7%
8787 2
7.4%
8786 1
3.7%
8782 1
3.7%
8779 1
3.7%

사업장명
Text

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-04-06T21:16:55.331858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length7.2222222
Min length4

Characters and Unicode

Total characters195
Distinct characters73
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)92.6%

Sample

1st row의료법인서울효천의료재단 에이치플러스양지병원
2nd row본플러스병원
3rd row강남고려병원
4th row사랑의병원
5th row이너스치과병원
ValueCountFrequency (%)
강남병원 2
 
7.1%
의료법인우진의료재단관악분원조원병원 1
 
3.6%
척편한병원 1
 
3.6%
미올한방병원 1
 
3.6%
바른사랑병원 1
 
3.6%
치유본한방병원 1
 
3.6%
더웰샘한방병원 1
 
3.6%
장튼위튼병원 1
 
3.6%
관악서울대학교치과병원 1
 
3.6%
심정병원 1
 
3.6%
Other values (17) 17
60.7%
2024-04-06T21:16:55.990342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 29
 
14.9%
병 27
 
13.8%
강 7
 
3.6%
남 7
 
3.6%
의 5
 
2.6%
한 5
 
2.6%
스 5
 
2.6%
울 4
 
2.1%
치 4
 
2.1%
방 4
 
2.1%
Other values (63) 98
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 193
99.0%
Space Separator 1
 
0.5%
Lowercase Letter 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 29
 
15.0%
병 27
 
14.0%
강 7
 
3.6%
남 7
 
3.6%
의 5
 
2.6%
한 5
 
2.6%
스 5
 
2.6%
울 4
 
2.1%
치 4
 
2.1%
방 4
 
2.1%
Other values (61) 96
49.7%
Space Separator
ValueCountFrequency (%)
1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 193
99.0%
Common 1
 
0.5%
Latin 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 29
 
15.0%
병 27
 
14.0%
강 7
 
3.6%
남 7
 
3.6%
의 5
 
2.6%
한 5
 
2.6%
스 5
 
2.6%
울 4
 
2.1%
치 4
 
2.1%
방 4
 
2.1%
Other values (61) 96
49.7%
Common
ValueCountFrequency (%)
1
100.0%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 193
99.0%
ASCII 2
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 29
 
15.0%
병 27
 
14.0%
강 7
 
3.6%
남 7
 
3.6%
의 5
 
2.6%
한 5
 
2.6%
스 5
 
2.6%
울 4
 
2.1%
치 4
 
2.1%
방 4
 
2.1%
Other values (61) 96
49.7%
ASCII
ValueCountFrequency (%)
1
50.0%
e 1
50.0%

최종수정일자
Date

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2009-11-30 16:48:16
Maximum2024-03-27 18:59:57
2024-04-06T21:16:56.247847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:16:56.476324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
U
20 
I
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 20
74.1%
I 7
 
25.9%

Length

2024-04-06T21:16:56.741740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:56.926602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 20
74.1%
i 7
 
25.9%

데이터갱신일자
Date

Distinct19
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 22:09:00
2024-04-06T21:16:57.089043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:16:57.304646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

업태구분명
Categorical

Distinct5
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size348.0 B
병원
18 
한방병원
4 
치과병원
2 
요양병원(일반요양병원)
2 
종합병원
 
1

Length

Max length12
Median length2
Mean length3.2592593
Min length2

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
병원 18
66.7%
한방병원 4
 
14.8%
치과병원 2
 
7.4%
요양병원(일반요양병원) 2
 
7.4%
종합병원 1
 
3.7%

Length

2024-04-06T21:16:57.516406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:57.699140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 18
66.7%
한방병원 4
 
14.8%
치과병원 2
 
7.4%
요양병원(일반요양병원 2
 
7.4%
종합병원 1
 
3.7%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)76.9%
Missing1
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean194140.75
Minimum191342.4
Maximum197958.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-04-06T21:16:57.883467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191342.4
5-th percentile191342.4
Q1192501.08
median194263.84
Q3195603.78
95-th percentile196151.16
Maximum197958.52
Range6616.1245
Interquartile range (IQR)3102.7043

Descriptive statistics

Standard deviation1836.9714
Coefficient of variation (CV)0.0094620598
Kurtosis-0.82898747
Mean194140.75
Median Absolute Deviation (MAD)1505.3495
Skewness-0.066172605
Sum5047659.5
Variance3374463.9
MonotonicityNot monotonic
2024-04-06T21:16:58.476792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
191342.399599631 4
 
14.8%
193643.274303943 2
 
7.4%
192455.883042115 2
 
7.4%
195647.366393622 2
 
7.4%
193961.371360025 1
 
3.7%
193773.070404044 1
 
3.7%
197958.524057933 1
 
3.7%
196154.920826589 1
 
3.7%
196139.864969792 1
 
3.7%
193779.105067109 1
 
3.7%
Other values (10) 10
37.0%
ValueCountFrequency (%)
191342.399599631 4
14.8%
192122.439315529 1
 
3.7%
192455.883042115 2
7.4%
192636.667380434 1
 
3.7%
193643.274303943 2
7.4%
193773.070404044 1
 
3.7%
193779.105067109 1
 
3.7%
193961.371360025 1
 
3.7%
194566.302659203 1
 
3.7%
194613.552109266 1
 
3.7%
ValueCountFrequency (%)
197958.524057933 1
3.7%
196154.920826589 1
3.7%
196139.864969792 1
3.7%
196106.551569021 1
3.7%
196058.834046152 1
3.7%
195647.366393622 2
7.4%
195473.034661719 1
3.7%
195387.990236283 1
3.7%
195344.63420121 1
3.7%
194719.981415722 1
3.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)76.9%
Missing1
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean442091.89
Minimum439023.17
Maximum442674.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-04-06T21:16:58.657033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439023.17
5-th percentile441350.61
Q1442109.89
median442248.59
Q3442410.46
95-th percentile442585.14
Maximum442674.19
Range3651.0266
Interquartile range (IQR)300.57735

Descriptive statistics

Standard deviation692.52739
Coefficient of variation (CV)0.0015664784
Kurtosis16.393639
Mean442091.89
Median Absolute Deviation (MAD)152.56062
Skewness-3.7772047
Sum11494389
Variance479594.19
MonotonicityNot monotonic
2024-04-06T21:16:58.872539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
442410.463659236 4
 
14.8%
442230.03574985 2
 
7.4%
442267.149217637 2
 
7.4%
442105.342411703 2
 
7.4%
442448.373509657 1
 
3.7%
442270.419248856 1
 
3.7%
441542.490987188 1
 
3.7%
441961.873381806 1
 
3.7%
439023.167125842 1
 
3.7%
442553.528776558 1
 
3.7%
Other values (10) 10
37.0%
ValueCountFrequency (%)
439023.167125842 1
3.7%
441286.654526964 1
3.7%
441542.490987188 1
3.7%
441941.183199585 1
3.7%
441961.873381806 1
3.7%
442105.342411703 2
7.4%
442123.517997162 1
3.7%
442139.541480019 1
3.7%
442168.547868945 1
3.7%
442205.889843962 1
3.7%
ValueCountFrequency (%)
442674.193730756 1
 
3.7%
442595.671190452 1
 
3.7%
442553.528776558 1
 
3.7%
442448.373509657 1
 
3.7%
442410.463659236 4
14.8%
442315.431104074 1
 
3.7%
442291.802164704 1
 
3.7%
442270.419248856 1
 
3.7%
442267.149217637 2
7.4%
442230.03574985 2
7.4%

의료기관종별명
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
14 
병원
12 
치과병원
 
1

Length

Max length4
Median length4
Mean length3.1111111
Min length2

Unique

Unique1 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 14
51.9%
병원 12
44.4%
치과병원 1
 
3.7%

Length

2024-04-06T21:16:59.146025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:16:59.377798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
51.9%
병원 12
44.4%
치과병원 1
 
3.7%

의료인수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)69.2%
Missing14
Missing (%)51.9%
Infinite0
Infinite (%)0.0%
Mean11.230769
Minimum2
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-04-06T21:16:59.541265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median6
Q319
95-th percentile27.6
Maximum39
Range37
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.779254
Coefficient of variation (CV)0.95979655
Kurtosis2.5665658
Mean11.230769
Median Absolute Deviation (MAD)4
Skewness1.5477713
Sum146
Variance116.19231
MonotonicityNot monotonic
2024-04-06T21:16:59.766500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6 2
 
7.4%
19 2
 
7.4%
2 2
 
7.4%
3 2
 
7.4%
20 1
 
3.7%
4 1
 
3.7%
9 1
 
3.7%
39 1
 
3.7%
14 1
 
3.7%
(Missing) 14
51.9%
ValueCountFrequency (%)
2 2
7.4%
3 2
7.4%
4 1
3.7%
6 2
7.4%
9 1
3.7%
14 1
3.7%
19 2
7.4%
20 1
3.7%
39 1
3.7%
ValueCountFrequency (%)
39 1
3.7%
20 1
3.7%
19 2
7.4%
14 1
3.7%
9 1
3.7%
6 2
7.4%
4 1
3.7%
3 2
7.4%
2 2
7.4%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)46.2%
Missing14
Missing (%)51.9%
Infinite0
Infinite (%)0.0%
Mean9.7692308
Minimum0
Maximum22
Zeros4
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-04-06T21:17:00.062846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9
Q316
95-th percentile22
Maximum22
Range22
Interquartile range (IQR)16

Descriptive statistics

Standard deviation8.2981308
Coefficient of variation (CV)0.84941496
Kurtosis-1.2039661
Mean9.7692308
Median Absolute Deviation (MAD)9
Skewness0.21393261
Sum127
Variance68.858974
MonotonicityNot monotonic
2024-04-06T21:17:00.254175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 4
 
14.8%
9 3
 
11.1%
22 2
 
7.4%
10 2
 
7.4%
16 1
 
3.7%
20 1
 
3.7%
(Missing) 14
51.9%
ValueCountFrequency (%)
0 4
14.8%
9 3
11.1%
10 2
7.4%
16 1
 
3.7%
20 1
 
3.7%
22 2
7.4%
ValueCountFrequency (%)
22 2
7.4%
20 1
 
3.7%
16 1
 
3.7%
10 2
7.4%
9 3
11.1%
0 4
14.8%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)92.3%
Missing14
Missing (%)51.9%
Infinite0
Infinite (%)0.0%
Mean61.384615
Minimum0
Maximum113
Zeros1
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-04-06T21:17:00.529724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21
Q137
median64
Q378
95-th percentile104.6
Maximum113
Range113
Interquartile range (IQR)41

Descriptive statistics

Standard deviation30.912615
Coefficient of variation (CV)0.50358896
Kurtosis-0.075738364
Mean61.384615
Median Absolute Deviation (MAD)26
Skewness-0.22601337
Sum798
Variance955.58974
MonotonicityNot monotonic
2024-04-06T21:17:00.755337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
35 2
 
7.4%
43 1
 
3.7%
74 1
 
3.7%
0 1
 
3.7%
113 1
 
3.7%
78 1
 
3.7%
37 1
 
3.7%
63 1
 
3.7%
64 1
 
3.7%
67 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 14
51.9%
ValueCountFrequency (%)
0 1
3.7%
35 2
7.4%
37 1
3.7%
43 1
3.7%
63 1
3.7%
64 1
3.7%
67 1
3.7%
74 1
3.7%
78 1
3.7%
90 1
3.7%
ValueCountFrequency (%)
113 1
3.7%
99 1
3.7%
90 1
3.7%
78 1
3.7%
74 1
3.7%
67 1
3.7%
64 1
3.7%
63 1
3.7%
43 1
3.7%
37 1
3.7%

총면적
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing14
Missing (%)51.9%
Infinite0
Infinite (%)0.0%
Mean1836.3177
Minimum721.28
Maximum3548.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-04-06T21:17:00.970065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum721.28
5-th percentile793.79
Q11304.28
median1476.6
Q32145.69
95-th percentile3203.856
Maximum3548.64
Range2827.36
Interquartile range (IQR)841.41

Descriptive statistics

Standard deviation859.50897
Coefficient of variation (CV)0.46806115
Kurtosis-0.24717087
Mean1836.3177
Median Absolute Deviation (MAD)498.4
Skewness0.77022321
Sum23872.13
Variance738755.68
MonotonicityNot monotonic
2024-04-06T21:17:01.152046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1476.6 2
 
7.4%
721.28 1
 
3.7%
1441.36 1
 
3.7%
842.13 1
 
3.7%
1975.0 1
 
3.7%
2145.69 1
 
3.7%
2974.0 1
 
3.7%
1304.28 1
 
3.7%
1224.0 1
 
3.7%
2940.0 1
 
3.7%
Other values (2) 2
 
7.4%
(Missing) 14
51.9%
ValueCountFrequency (%)
721.28 1
3.7%
842.13 1
3.7%
1224.0 1
3.7%
1304.28 1
3.7%
1441.36 1
3.7%
1476.6 2
7.4%
1802.55 1
3.7%
1975.0 1
3.7%
2145.69 1
3.7%
2940.0 1
3.7%
ValueCountFrequency (%)
3548.64 1
3.7%
2974.0 1
3.7%
2940.0 1
3.7%
2145.69 1
3.7%
1975.0 1
3.7%
1802.55 1
3.7%
1476.6 2
7.4%
1441.36 1
3.7%
1304.28 1
3.7%
1224.0 1
3.7%

진료과목내용
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing14
Missing (%)51.9%
Memory size348.0 B
2024-04-06T21:17:01.478391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length23.615385
Min length11

Characters and Unicode

Total characters307
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

Unique13 ?
Unique (%)100.0%

Sample

1st row101 105 104 106 111 122
2nd row122 116 109 106 105 104 102 101
3rd row201 202 207
4th row101 104 105 110 120
5th row105 101 116 104 107 109
ValueCountFrequency (%)
105 12
15.0%
101 10
12.5%
104 8
10.0%
116 8
10.0%
109 7
8.8%
106 6
7.5%
120 5
 
6.2%
111 4
 
5.0%
114 4
 
5.0%
122 3
 
3.8%
Other values (10) 13
16.2%
2024-04-06T21:17:02.075475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 115
37.5%
67
21.8%
0 56
18.2%
2 16
 
5.2%
5 15
 
4.9%
6 14
 
4.6%
4 12
 
3.9%
9 7
 
2.3%
7 2
 
0.7%
8 2
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
78.2%
Space Separator 67
 
21.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 115
47.9%
0 56
23.3%
2 16
 
6.7%
5 15
 
6.2%
6 14
 
5.8%
4 12
 
5.0%
9 7
 
2.9%
7 2
 
0.8%
8 2
 
0.8%
3 1
 
0.4%
Space Separator
ValueCountFrequency (%)
67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 307
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 115
37.5%
67
21.8%
0 56
18.2%
2 16
 
5.2%
5 15
 
4.9%
6 14
 
4.6%
4 12
 
3.9%
9 7
 
2.3%
7 2
 
0.7%
8 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 307
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 115
37.5%
67
21.8%
0 56
18.2%
2 16
 
5.2%
5 15
 
4.9%
6 14
 
4.6%
4 12
 
3.9%
9 7
 
2.3%
7 2
 
0.7%
8 2
 
0.7%

진료과목내용명
Text

MISSING 

Distinct12
Distinct (%)92.3%
Missing14
Missing (%)51.9%
Memory size348.0 B
2024-04-06T21:17:02.407206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length37
Mean length35.769231
Min length20

Characters and Unicode

Total characters465
Distinct characters44
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

Unique11 ?
Unique (%)84.6%

Sample

1st row내과, 외과, 정형외과, 신경외과, 소아청소년과, 가정의학과
2nd row내과, 신경과, 외과, 정형외과, 신경외과, 마취통증의학과, 영상의학과, 가정의학과
3rd row구강악안면외과, 치과보철과, 구강내과
4th row내과, 외과, 정형외과, 산부인과, 재활의학과
5th row내과, 외과, 정형외과, 흉부외과, 마취통증의학과, 영상의학과
ValueCountFrequency (%)
정형외과 12
15.0%
내과 10
12.5%
영상의학과 8
10.0%
외과 8
10.0%
마취통증의학과 7
8.8%
신경외과 6
7.5%
재활의학과 5
 
6.2%
소아청소년과 4
 
5.0%
피부과 4
 
5.0%
가정의학과 3
 
3.8%
Other values (10) 13
16.2%
2024-04-06T21:17:02.994066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 81
17.4%
, 67
14.4%
67
14.4%
외 29
 
6.2%
의 26
 
5.6%
학 26
 
5.6%
정 15
 
3.2%
형 13
 
2.8%
내 11
 
2.4%
소 8
 
1.7%
Other values (34) 122
26.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 331
71.2%
Other Punctuation 67
 
14.4%
Space Separator 67
 
14.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 81
24.5%
외 29
 
8.8%
의 26
 
7.9%
학 26
 
7.9%
정 15
 
4.5%
형 13
 
3.9%
내 11
 
3.3%
소 8
 
2.4%
영 8
 
2.4%
상 8
 
2.4%
Other values (32) 106
32.0%
Other Punctuation
ValueCountFrequency (%)
, 67
100.0%
Space Separator
ValueCountFrequency (%)
67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 331
71.2%
Common 134
28.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 81
24.5%
외 29
 
8.8%
의 26
 
7.9%
학 26
 
7.9%
정 15
 
4.5%
형 13
 
3.9%
내 11
 
3.3%
소 8
 
2.4%
영 8
 
2.4%
상 8
 
2.4%
Other values (32) 106
32.0%
Common
ValueCountFrequency (%)
, 67
50.0%
67
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 331
71.2%
ASCII 134
28.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 81
24.5%
외 29
 
8.8%
의 26
 
7.9%
학 26
 
7.9%
정 15
 
4.5%
형 13
 
3.9%
내 11
 
3.3%
소 8
 
2.4%
영 8
 
2.4%
상 8
 
2.4%
Other values (32) 106
32.0%
ASCII
ValueCountFrequency (%)
, 67
50.0%
67
50.0%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

구급차특수
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
14 
0
13 

Length

Max length4
Median length4
Mean length2.5555556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 14
51.9%
0 13
48.1%

Length

2024-04-06T21:17:03.274934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:17:03.548296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
51.9%
0 13
48.1%

구급차일반
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
14 
0
13 

Length

Max length4
Median length4
Mean length2.5555556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 14
51.9%
0 13
48.1%

Length

2024-04-06T21:17:03.775882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:17:03.971333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
51.9%
0 13
48.1%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

허가병상수
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
<NA>
14 
0
13 

Length

Max length4
Median length4
Mean length2.5555556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 14
51.9%
0 13
48.1%

Length

2024-04-06T21:17:04.195908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:17:04.432356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
51.9%
0 13
48.1%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03200000PHMA2198432000330212000011980-06-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1877-8875<NA><NA>서울특별시 관악구 신림동 10번지 715호 양지병원서울특별시 관악구 남부순환로 1636, 양지병원 (신림동)8779의료법인서울효천의료재단 에이치플러스양지병원2023-04-13 17:43:25U2022-12-03 23:05:00.0종합병원193961.37136442448.37351<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13200000PHMA21988320003302120000119880519<NA>3폐업3폐업20100906<NA><NA><NA><NA><NA>151841서울특별시 관악구 청룡동 883번지 14호서울특별시 관악구 남부순환로 1782 (봉천동)<NA>본플러스병원2010-10-20 17:55:51I2018-08-31 23:59:59.0병원195344.634201442139.54148병원6043721.28101 105 104 106 111 122내과, 외과, 정형외과, 신경외과, 소아청소년과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
23200000PHMA2199532000330212000011995-05-20<NA>1영업/정상13영업중<NA><NA><NA><NA>1661-82675888.0<NA><NA>서울특별시 관악구 관악로 242 (봉천동)8735강남고려병원2024-02-05 09:53:13U2023-12-02 00:07:00.0병원196106.551569442595.67119<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33200000PHMA21997320003302120000120060101<NA>1영업/정상13영업중<NA><NA><NA><NA>02-880-0114<NA><NA><NA>서울특별시 관악구 남부순환로 1860, -1,1,3,4,5층 (봉천동, )8789사랑의병원2021-01-08 14:49:21U2021-01-10 02:40:00.0병원196058.834046441941.1832병원1916741441.36122 116 109 106 105 104 102 101내과, 신경과, 외과, 정형외과, 신경외과, 마취통증의학과, 영상의학과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
43200000PHMA22005320003302120000120051207<NA>3폐업3폐업20111031<NA><NA><NA><NA><NA><NA>관악구 봉천8동 945-10서울특별시 관악구 남부순환로 1710 (봉천동)151820이너스치과병원2011-10-31 18:06:02I2018-08-31 23:59:59.0치과병원194613.552109442291.802165치과병원200842.13201 202 207구강악안면외과, 치과보철과, 구강내과<NA><NA><NA>00<NA><NA>0<NA>
53200000PHMA22006320003302120000120080509<NA>3폐업3폐업20100331<NA><NA><NA>534-2500<NA><NA>관악구 봉천9동 937-15 (5-7층)<NA><NA>서울e병원2010-04-01 16:09:24I2018-08-31 23:59:59.0병원<NA><NA>병원301131975.0101 104 105 110 120내과, 외과, 정형외과, 산부인과, 재활의학과<NA><NA><NA>00<NA><NA>0<NA>
63200000PHMA2200632000330212000022006-01-26<NA>1영업/정상13영업중<NA><NA><NA><NA>853-46002976.75<NA>서울특별시 관악구 신림동 543-18 강남힐병원서울특별시 관악구 남부순환로 1449, 강남힐병원 (신림동)8767강남힐병원2023-10-05 17:29:48U2022-10-31 00:07:00.0병원192122.439316442168.547869<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73200000PHMA22007320003302120000120080415<NA>1영업/정상13영업중<NA><NA><NA><NA>028858080<NA><NA><NA>서울특별시 관악구 남부순환로 1704 (봉천동)8782강남효요양병원2022-07-20 15:52:33U2021-12-06 22:02:00.0요양병원(일반요양병원)194566.302659442315.431104<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83200000PHMA22007320003302120000220070309<NA>3폐업3폐업20081016<NA><NA><NA><NA><NA>151891서울특별시 관악구 신림동 1643번지 6호서울특별시 관악구 시흥대로 572 (신림동)<NA>강남병원2009-11-30 16:48:16I2018-08-31 23:59:59.0병원191342.3996442410.463659병원200782145.69105 101 116 104 107 109내과, 외과, 정형외과, 흉부외과, 마취통증의학과, 영상의학과<NA><NA><NA>00<NA><NA>0<NA>
93200000PHMA22008320003302120000119950520<NA>1영업/정상13영업중<NA><NA><NA><NA>886-5551<NA>151050서울특별시 관악구 봉천동 884번지 44호서울특별시 관악구 남부순환로 1785 (봉천동)8758미래드림여성병원2019-11-09 11:16:49U2019-11-12 02:40:00.0병원195387.990236442205.889844병원422372974.0101 104 105 109 110 111 120 118 116내과, 외과, 정형외과, 마취통증의학과, 산부인과, 소아청소년과, 영상의학과, 병리과, 재활의학과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
173200000PHMA2201432000330212000012014-06-17<NA>1영업/정상13영업중<NA><NA><NA><NA>1644-4630<NA><NA>서울특별시 관악구 봉천동 869번지 12호 대연빌딩서울특별시 관악구 남부순환로 1814, 대연빌딩 3,4,8,9층 (봉천동)8787연세건우병원2023-05-23 16:24:51U2022-12-04 22:05:00.0병원195647.366394442105.342412<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183200000PHMA2201432000330212000022014-09-05<NA>1영업/정상13영업중<NA><NA><NA><NA>888-8866<NA><NA>서울특별시 관악구 신림동 1421번지 55호 지1층, 2~11층서울특별시 관악구 신림로64길 11, 지1층,2~11층 (신림동, 성재빌딩)8754강남수요양병원2023-03-30 14:34:51U2022-12-04 00:01:00.0요양병원(일반요양병원)193779.105067442553.528777<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193200000PHMA22015320003302120000120150113<NA>1영업/정상13영업중<NA><NA><NA><NA>1588-3330<NA><NA>서울특별시 관악구 신림동 527-13 삼남빌딩서울특별시 관악구 남부순환로 1485, 삼남빌딩 2~6층 (신림동)8761심정병원2021-01-15 10:00:41U2021-01-17 02:40:00.0병원192455.883042442267.149218병원3922993548.64106 105 101 116 109 120내과, 정형외과, 신경외과, 마취통증의학과, 영상의학과, 재활의학과<NA><NA><NA>00<NA><NA>0<NA>
203200000PHMA2201532000330212000022015-02-17<NA>1영업/정상13영업중<NA><NA><NA><NA>-6747-6114<NA><NA><NA>서울특별시 관악구 관악로 1, 지1~3층 (신림동)8826관악서울대학교치과병원2023-05-10 09:15:18U2022-12-04 23:03:00.0치과병원196139.86497439023.167126<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213200000PHMA2201832000330212000012018-10-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-8787-1191996.11<NA>서울특별시 관악구 봉천동 1673번지 17호서울특별시 관악구 남부순환로 1867 (봉천동)8739장튼위튼병원2024-01-11 15:36:08U2023-11-30 23:03:00.0병원196154.920827441961.873382<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223200000PHMA2201932000330212000012019-06-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3427-8275238.92<NA>서울특별시 관악구 남현동 1058번지 6호 한일프라자서울특별시 관악구 남현길 7, 한일프라자 4, 6층 (남현동)8806더웰샘한방병원2023-08-03 14:10:44U2022-12-08 00:05:00.0한방병원197958.524058441542.490987<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233200000PHMA2201932000330212000022019-12-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1644-85111302.48<NA><NA>서울특별시 관악구 신원로 35, 삼모더프라임타워 6층 (신림동)8776치유본한방병원2024-03-27 18:59:57U2023-12-02 22:09:00.0한방병원193643.274304442230.03575<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243200000PHMA22020320003302120000120201222<NA>1영업/정상13영업중<NA><NA><NA><NA>02-878-8875<NA><NA>서울특별시 관악구 신림동 1638-1 삼모 더 프라임 타워서울특별시 관악구 신원로 35, 삼모 더 프라임 타워 3,7층 (신림동)8776바른사랑병원2021-01-08 14:50:11U2021-01-10 02:40:00.0병원193643.274304442230.03575병원1410351802.55116 109 106 105정형외과, 신경외과, 마취통증의학과, 영상의학과<NA><NA><NA>00<NA><NA>0<NA>
253200000PHMA2202132000330212000012021-09-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-553-7000<NA><NA>서울특별시 관악구 봉천동 869-12 대연빌딩서울특별시 관악구 남부순환로 1814, 대연빌딩 1,2,6층 (봉천동)8787미올한방병원2023-04-06 09:16:11U2022-12-04 00:08:00.0한방병원195647.366394442105.342412<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
263200000PHMA2202232000330212000012022-06-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3218-10751490.51<NA><NA>서울특별시 관악구 남부순환로 1485, 삼남빌딩 1층, 7층, 8층 (신림동)8761바를정한방병원2024-03-22 13:05:34U2023-12-02 22:04:00.0한방병원192455.883042442267.149218<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>