Overview

Dataset statistics

Number of variables41
Number of observations54
Missing cells729
Missing cells (%)32.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.7 KiB
Average record size in memory355.4 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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-16174/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (86.7%)Imbalance
휴업종료일자 is highly imbalanced (86.7%)Imbalance
인허가취소일자 has 54 (100.0%) missing valuesMissing
폐업일자 has 39 (72.2%) missing valuesMissing
재개업일자 has 54 (100.0%) missing valuesMissing
소재지면적 has 36 (66.7%) missing valuesMissing
소재지우편번호 has 34 (63.0%) missing valuesMissing
지번주소 has 2 (3.7%) missing valuesMissing
도로명주소 has 1 (1.9%) missing valuesMissing
도로명우편번호 has 3 (5.6%) missing valuesMissing
좌표정보(X) has 1 (1.9%) missing valuesMissing
좌표정보(Y) has 1 (1.9%) missing valuesMissing
의료인수 has 30 (55.6%) missing valuesMissing
입원실수 has 30 (55.6%) missing valuesMissing
병상수 has 30 (55.6%) missing valuesMissing
총면적 has 30 (55.6%) missing valuesMissing
진료과목내용 has 30 (55.6%) missing valuesMissing
진료과목내용명 has 30 (55.6%) missing valuesMissing
지정취소일자 has 54 (100.0%) missing valuesMissing
완화의료지정형태 has 54 (100.0%) missing valuesMissing
완화의료담당부서명 has 54 (100.0%) missing valuesMissing
총인원 has 54 (100.0%) missing valuesMissing
구조사수 has 54 (100.0%) missing valuesMissing
최초지정일자 has 54 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료지정형태 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료담당부서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구조사수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
입원실수 has 2 (3.7%) zerosZeros
병상수 has 2 (3.7%) zerosZeros

Reproduction

Analysis started2024-04-06 12:00:44.355890
Analysis finished2024-04-06 12:00:45.308159
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
3150000
54 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 54
100.0%

Length

2024-04-06T21:00:45.490074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:00:45.651615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 54
100.0%

관리번호
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-06T21:00:45.940045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1350
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

Unique54 ?
Unique (%)100.0%

Sample

1st rowPHMA219863150037021200001
2nd rowPHMA219943150037021200001
3rd rowPHMA219973150037021200001
4th rowPHMA219993150037021200001
5th rowPHMA220003150037021200001
ValueCountFrequency (%)
phma219863150037021200001 1
 
1.9%
phma220173150037021200001 1
 
1.9%
phma220223150037021200003 1
 
1.9%
phma220113150037021200003 1
 
1.9%
phma220123150037021200001 1
 
1.9%
phma220123150037021200002 1
 
1.9%
phma220123150037021200003 1
 
1.9%
phma220123150037021200004 1
 
1.9%
phma220133150037021200001 1
 
1.9%
phma220143150037021200001 1
 
1.9%
Other values (44) 44
81.5%
2024-04-06T21:00:46.547257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 456
33.8%
2 244
18.1%
1 169
 
12.5%
3 121
 
9.0%
7 59
 
4.4%
5 56
 
4.1%
P 54
 
4.0%
H 54
 
4.0%
M 54
 
4.0%
A 54
 
4.0%
Other values (4) 29
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1134
84.0%
Uppercase Letter 216
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 456
40.2%
2 244
21.5%
1 169
 
14.9%
3 121
 
10.7%
7 59
 
5.2%
5 56
 
4.9%
9 13
 
1.1%
4 7
 
0.6%
8 5
 
0.4%
6 4
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 54
25.0%
H 54
25.0%
M 54
25.0%
A 54
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1134
84.0%
Latin 216
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 456
40.2%
2 244
21.5%
1 169
 
14.9%
3 121
 
10.7%
7 59
 
5.2%
5 56
 
4.9%
9 13
 
1.1%
4 7
 
0.6%
8 5
 
0.4%
6 4
 
0.4%
Latin
ValueCountFrequency (%)
P 54
25.0%
H 54
25.0%
M 54
25.0%
A 54
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 456
33.8%
2 244
18.1%
1 169
 
12.5%
3 121
 
9.0%
7 59
 
4.4%
5 56
 
4.1%
P 54
 
4.0%
H 54
 
4.0%
M 54
 
4.0%
A 54
 
4.0%
Other values (4) 29
 
2.1%

인허가일자
Date

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum1986-02-18 00:00:00
Maximum2023-05-03 00:00:00
2024-04-06T21:00:46.803317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:00:47.412160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
1
39 
3
13 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 39
72.2%
3 13
 
24.1%
4 2
 
3.7%

Length

2024-04-06T21:00:47.642099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:00:47.810465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 39
72.2%
3 13
 
24.1%
4 2
 
3.7%

영업상태명
Categorical

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
영업/정상
39 
폐업
13 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.6111111
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 39
72.2%
폐업 13
 
24.1%
취소/말소/만료/정지/중지 2
 
3.7%

Length

2024-04-06T21:00:48.051772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:00:48.221473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 39
72.2%
폐업 13
 
24.1%
취소/말소/만료/정지/중지 2
 
3.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
13
39 
3
13 
24
 
2

Length

Max length2
Median length2
Mean length1.7592593
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 39
72.2%
3 13
 
24.1%
24 2
 
3.7%

Length

2024-04-06T21:00:48.393291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:00:48.579584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 39
72.2%
3 13
 
24.1%
24 2
 
3.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
영업중
39 
폐업
13 
직권폐업
 
2

Length

Max length4
Median length3
Mean length2.7962963
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 39
72.2%
폐업 13
 
24.1%
직권폐업 2
 
3.7%

Length

2024-04-06T21:00:48.734188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:00:48.891145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 39
72.2%
폐업 13
 
24.1%
직권폐업 2
 
3.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing39
Missing (%)72.2%
Infinite0
Infinite (%)0.0%
Mean20149404
Minimum20100303
Maximum20220718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-06T21:00:49.035740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100303
5-th percentile20100810
Q120130420
median20150622
Q320175719
95-th percentile20192785
Maximum20220718
Range120415
Interquartile range (IQR)45299

Descriptive statistics

Standard deviation33570.298
Coefficient of variation (CV)0.001666069
Kurtosis-0.038114214
Mean20149404
Median Absolute Deviation (MAD)30008
Skewness0.32781728
Sum3.0224106 × 108
Variance1.1269649 × 109
MonotonicityNot monotonic
2024-04-06T21:00:49.245588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20220718 1
 
1.9%
20180705 1
 
1.9%
20141031 1
 
1.9%
20120430 1
 
1.9%
20101027 1
 
1.9%
20111101 1
 
1.9%
20100303 1
 
1.9%
20140410 1
 
1.9%
20180814 1
 
1.9%
20150622 1
 
1.9%
Other values (5) 5
 
9.3%
(Missing) 39
72.2%
ValueCountFrequency (%)
20100303 1
1.9%
20101027 1
1.9%
20111101 1
1.9%
20120430 1
1.9%
20140410 1
1.9%
20140620 1
1.9%
20141031 1
1.9%
20150622 1
1.9%
20150623 1
1.9%
20151222 1
1.9%
ValueCountFrequency (%)
20220718 1
1.9%
20180814 1
1.9%
20180705 1
1.9%
20180630 1
1.9%
20170808 1
1.9%
20151222 1
1.9%
20150623 1
1.9%
20150622 1
1.9%
20141031 1
1.9%
20140620 1
1.9%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
53 
20140904
 
1

Length

Max length8
Median length4
Mean length4.0740741
Min length4

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
98.1%
20140904 1
 
1.9%

Length

2024-04-06T21:00:49.543444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:00:49.800506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
98.1%
20140904 1
 
1.9%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
53 
20140930
 
1

Length

Max length8
Median length4
Mean length4.0740741
Min length4

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
98.1%
20140930 1
 
1.9%

Length

2024-04-06T21:00:50.037153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:00:50.223525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
98.1%
20140930 1
 
1.9%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

전화번호
Text

Distinct51
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-06T21:00:50.570237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.481481
Min length9

Characters and Unicode

Total characters620
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

Unique48 ?
Unique (%)88.9%

Sample

1st row02-2650-0700
2nd row02-2608-1011
3rd row02-2600-5024
4th row02-2658-5114
5th row02-2665-0911
ValueCountFrequency (%)
02-2061-5544 2
 
3.7%
02-2660-7500 2
 
3.7%
02-3663-9090 2
 
3.7%
1544-5888 1
 
1.9%
02-2663-0075 1
 
1.9%
02-6953-8226 1
 
1.9%
02-2650-0700 1
 
1.9%
02-2695-1155 1
 
1.9%
02-2666-7582 1
 
1.9%
1670-0124 1
 
1.9%
Other values (41) 41
75.9%
2024-04-06T21:00:51.231451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 111
17.9%
2 101
16.3%
- 99
16.0%
6 74
11.9%
5 51
8.2%
1 42
 
6.8%
3 34
 
5.5%
9 32
 
5.2%
7 28
 
4.5%
8 28
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 521
84.0%
Dash Punctuation 99
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 111
21.3%
2 101
19.4%
6 74
14.2%
5 51
9.8%
1 42
 
8.1%
3 34
 
6.5%
9 32
 
6.1%
7 28
 
5.4%
8 28
 
5.4%
4 20
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 620
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 111
17.9%
2 101
16.3%
- 99
16.0%
6 74
11.9%
5 51
8.2%
1 42
 
6.8%
3 34
 
5.5%
9 32
 
5.2%
7 28
 
4.5%
8 28
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 111
17.9%
2 101
16.3%
- 99
16.0%
6 74
11.9%
5 51
8.2%
1 42
 
6.8%
3 34
 
5.5%
9 32
 
5.2%
7 28
 
4.5%
8 28
 
4.5%

소재지면적
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing36
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean15560.413
Minimum1301.92
Maximum208866.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-06T21:00:51.499522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1301.92
5-th percentile1343.2385
Q12068.1625
median3766.32
Q34293.3275
95-th percentile47966.194
Maximum208866.63
Range207564.71
Interquartile range (IQR)2225.165

Descriptive statistics

Standard deviation48415.427
Coefficient of variation (CV)3.1114486
Kurtosis17.695283
Mean15560.413
Median Absolute Deviation (MAD)1355.23
Skewness4.1938686
Sum280087.44
Variance2.3440535 × 109
MonotonicityNot monotonic
2024-04-06T21:00:51.759996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1955.37 1
 
1.9%
3861.05 1
 
1.9%
5117.0 1
 
1.9%
3070.4 1
 
1.9%
1924.16 1
 
1.9%
4143.98 1
 
1.9%
6340.58 1
 
1.9%
3671.59 1
 
1.9%
4010.66 1
 
1.9%
1435.83 1
 
1.9%
Other values (8) 8
 
14.8%
(Missing) 36
66.7%
ValueCountFrequency (%)
1301.92 1
1.9%
1350.53 1
1.9%
1435.83 1
1.9%
1924.16 1
1.9%
1955.37 1
1.9%
2406.54 1
1.9%
2623.09 1
1.9%
3070.4 1
1.9%
3671.59 1
1.9%
3861.05 1
1.9%
ValueCountFrequency (%)
208866.63 1
1.9%
19572.0 1
1.9%
6340.58 1
1.9%
5117.0 1
1.9%
4343.11 1
1.9%
4143.98 1
1.9%
4093.0 1
1.9%
4010.66 1
1.9%
3861.05 1
1.9%
3671.59 1
1.9%

소재지우편번호
Text

MISSING 

Distinct17
Distinct (%)85.0%
Missing34
Missing (%)63.0%
Memory size564.0 B
2024-04-06T21:00:52.060044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2
Min length6

Characters and Unicode

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

Unique

Unique14 ?
Unique (%)70.0%

Sample

1st row157-862
2nd row157849
3rd row157-833
4th row157-882
5th row157910
ValueCountFrequency (%)
157925 2
 
10.0%
157019 2
 
10.0%
157838 2
 
10.0%
157220 1
 
5.0%
157-882 1
 
5.0%
157910 1
 
5.0%
157031 1
 
5.0%
157823 1
 
5.0%
157-833 1
 
5.0%
157807 1
 
5.0%
Other values (7) 7
35.0%
2024-04-06T21:00:52.719396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 25
20.2%
5 22
17.7%
7 22
17.7%
8 13
10.5%
9 9
 
7.3%
2 9
 
7.3%
3 8
 
6.5%
0 8
 
6.5%
- 4
 
3.2%
6 3
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
96.8%
Dash Punctuation 4
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 25
20.8%
5 22
18.3%
7 22
18.3%
8 13
10.8%
9 9
 
7.5%
2 9
 
7.5%
3 8
 
6.7%
0 8
 
6.7%
6 3
 
2.5%
4 1
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 124
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 25
20.2%
5 22
17.7%
7 22
17.7%
8 13
10.5%
9 9
 
7.3%
2 9
 
7.3%
3 8
 
6.5%
0 8
 
6.5%
- 4
 
3.2%
6 3
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 124
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 25
20.2%
5 22
17.7%
7 22
17.7%
8 13
10.5%
9 9
 
7.3%
2 9
 
7.3%
3 8
 
6.5%
0 8
 
6.5%
- 4
 
3.2%
6 3
 
2.4%

지번주소
Text

MISSING 

Distinct51
Distinct (%)98.1%
Missing2
Missing (%)3.7%
Memory size564.0 B
2024-04-06T21:00:53.185656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length33
Mean length25.365385
Min length18

Characters and Unicode

Total characters1319
Distinct characters103
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)96.2%

Sample

1st row서울특별시 강서구 등촌동 512번지 18호
2nd row서울특별시 강서구 화곡동 1031번지 12호
3rd row서울특별시 강서구 화곡동 105-68 더와이즈황병원
4th row서울특별시 강서구 염창동 263번지 3호
5th row서울특별시 강서구 방화1동 487번지 5호
ValueCountFrequency (%)
서울특별시 52
18.8%
강서구 52
18.8%
화곡동 16
 
5.8%
등촌동 7
 
2.5%
마곡동 6
 
2.2%
방화동 5
 
1.8%
내발산동 5
 
1.8%
6호 4
 
1.4%
12호 4
 
1.4%
5호 3
 
1.1%
Other values (101) 122
44.2%
2024-04-06T21:00:53.944732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
224
 
17.0%
서 107
 
8.1%
울 54
 
4.1%
강 53
 
4.0%
특 52
 
3.9%
별 52
 
3.9%
시 52
 
3.9%
구 52
 
3.9%
동 52
 
3.9%
1 50
 
3.8%
Other values (93) 571
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 802
60.8%
Decimal Number 262
 
19.9%
Space Separator 224
 
17.0%
Other Punctuation 11
 
0.8%
Uppercase Letter 10
 
0.8%
Dash Punctuation 9
 
0.7%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 107
13.3%
울 54
 
6.7%
강 53
 
6.6%
특 52
 
6.5%
별 52
 
6.5%
시 52
 
6.5%
구 52
 
6.5%
동 52
 
6.5%
지 44
 
5.5%
번 39
 
4.9%
Other values (70) 245
30.5%
Decimal Number
ValueCountFrequency (%)
1 50
19.1%
6 36
13.7%
7 32
12.2%
2 32
12.2%
0 23
8.8%
5 20
 
7.6%
4 20
 
7.6%
8 18
 
6.9%
9 17
 
6.5%
3 14
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
E 2
20.0%
R 2
20.0%
A 1
10.0%
O 1
10.0%
T 1
10.0%
F 1
10.0%
K 1
10.0%
W 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 9
81.8%
. 2
 
18.2%
Space Separator
ValueCountFrequency (%)
224
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 802
60.8%
Common 507
38.4%
Latin 10
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 107
13.3%
울 54
 
6.7%
강 53
 
6.6%
특 52
 
6.5%
별 52
 
6.5%
시 52
 
6.5%
구 52
 
6.5%
동 52
 
6.5%
지 44
 
5.5%
번 39
 
4.9%
Other values (70) 245
30.5%
Common
ValueCountFrequency (%)
224
44.2%
1 50
 
9.9%
6 36
 
7.1%
7 32
 
6.3%
2 32
 
6.3%
0 23
 
4.5%
5 20
 
3.9%
4 20
 
3.9%
8 18
 
3.6%
9 17
 
3.4%
Other values (5) 35
 
6.9%
Latin
ValueCountFrequency (%)
E 2
20.0%
R 2
20.0%
A 1
10.0%
O 1
10.0%
T 1
10.0%
F 1
10.0%
K 1
10.0%
W 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 802
60.8%
ASCII 517
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
224
43.3%
1 50
 
9.7%
6 36
 
7.0%
7 32
 
6.2%
2 32
 
6.2%
0 23
 
4.4%
5 20
 
3.9%
4 20
 
3.9%
8 18
 
3.5%
9 17
 
3.3%
Other values (13) 45
 
8.7%
Hangul
ValueCountFrequency (%)
서 107
13.3%
울 54
 
6.7%
강 53
 
6.6%
특 52
 
6.5%
별 52
 
6.5%
시 52
 
6.5%
구 52
 
6.5%
동 52
 
6.5%
지 44
 
5.5%
번 39
 
4.9%
Other values (70) 245
30.5%

도로명주소
Text

MISSING 

Distinct50
Distinct (%)94.3%
Missing1
Missing (%)1.9%
Memory size564.0 B
2024-04-06T21:00:54.458606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length44
Mean length33.377358
Min length22

Characters and Unicode

Total characters1769
Distinct characters128
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

Unique47 ?
Unique (%)88.7%

Sample

1st row서울특별시 강서구 등촌로 181 (등촌동, 실로암안과병원)
2nd row서울특별시 강서구 강서로 194 (화곡동)
3rd row서울특별시 강서구 까치산로 23, 더와이즈황병원 (화곡동)
4th row서울특별시 강서구 양천로 712 (염창동)
5th row서울특별시 강서구 양천로 45-5 (방화동)
ValueCountFrequency (%)
서울특별시 53
 
15.9%
강서구 53
 
15.9%
화곡동 18
 
5.4%
등촌동 12
 
3.6%
강서로 9
 
2.7%
화곡로 8
 
2.4%
양천로 7
 
2.1%
방화동 6
 
1.8%
마곡동 6
 
1.8%
공항대로 6
 
1.8%
Other values (133) 155
46.5%
2024-04-06T21:00:55.303858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
280
 
15.8%
서 124
 
7.0%
, 102
 
5.8%
강 68
 
3.8%
울 56
 
3.2%
시 54
 
3.1%
동 54
 
3.1%
특 53
 
3.0%
별 53
 
3.0%
구 53
 
3.0%
Other values (118) 872
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 975
55.1%
Decimal Number 281
 
15.9%
Space Separator 280
 
15.8%
Other Punctuation 102
 
5.8%
Close Punctuation 53
 
3.0%
Open Punctuation 53
 
3.0%
Math Symbol 12
 
0.7%
Uppercase Letter 10
 
0.6%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 124
 
12.7%
강 68
 
7.0%
울 56
 
5.7%
시 54
 
5.5%
동 54
 
5.5%
특 53
 
5.4%
별 53
 
5.4%
구 53
 
5.4%
로 53
 
5.4%
화 38
 
3.9%
Other values (94) 369
37.8%
Decimal Number
ValueCountFrequency (%)
1 48
17.1%
3 36
12.8%
4 34
12.1%
5 31
11.0%
2 31
11.0%
6 27
9.6%
7 23
8.2%
8 20
7.1%
0 18
 
6.4%
9 13
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
R 2
20.0%
E 2
20.0%
F 1
10.0%
A 1
10.0%
K 1
10.0%
T 1
10.0%
O 1
10.0%
W 1
10.0%
Space Separator
ValueCountFrequency (%)
280
100.0%
Other Punctuation
ValueCountFrequency (%)
, 102
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 975
55.1%
Common 784
44.3%
Latin 10
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 124
 
12.7%
강 68
 
7.0%
울 56
 
5.7%
시 54
 
5.5%
동 54
 
5.5%
특 53
 
5.4%
별 53
 
5.4%
구 53
 
5.4%
로 53
 
5.4%
화 38
 
3.9%
Other values (94) 369
37.8%
Common
ValueCountFrequency (%)
280
35.7%
, 102
 
13.0%
) 53
 
6.8%
( 53
 
6.8%
1 48
 
6.1%
3 36
 
4.6%
4 34
 
4.3%
5 31
 
4.0%
2 31
 
4.0%
6 27
 
3.4%
Other values (6) 89
 
11.4%
Latin
ValueCountFrequency (%)
R 2
20.0%
E 2
20.0%
F 1
10.0%
A 1
10.0%
K 1
10.0%
T 1
10.0%
O 1
10.0%
W 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 975
55.1%
ASCII 794
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
280
35.3%
, 102
 
12.8%
) 53
 
6.7%
( 53
 
6.7%
1 48
 
6.0%
3 36
 
4.5%
4 34
 
4.3%
5 31
 
3.9%
2 31
 
3.9%
6 27
 
3.4%
Other values (14) 99
 
12.5%
Hangul
ValueCountFrequency (%)
서 124
 
12.7%
강 68
 
7.0%
울 56
 
5.7%
시 54
 
5.5%
동 54
 
5.5%
특 53
 
5.4%
별 53
 
5.4%
구 53
 
5.4%
로 53
 
5.4%
화 38
 
3.9%
Other values (94) 369
37.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)74.5%
Missing3
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean25330.765
Minimum7505
Maximum157930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-06T21:00:55.549476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7505
5-th percentile7521.5
Q17591
median7679
Q37772
95-th percentile157903.5
Maximum157930
Range150425
Interquartile range (IQR)181

Descriptive statistics

Standard deviation48885.137
Coefficient of variation (CV)1.9298721
Kurtosis4.1439523
Mean25330.765
Median Absolute Deviation (MAD)89
Skewness2.4459876
Sum1291869
Variance2.3897566 × 109
MonotonicityNot monotonic
2024-04-06T21:00:55.799179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
7727 4
 
7.4%
7591 3
 
5.6%
7632 3
 
5.6%
7698 2
 
3.7%
7590 2
 
3.7%
7803 2
 
3.7%
7714 2
 
3.7%
7639 2
 
3.7%
7516 2
 
3.7%
7540 1
 
1.9%
Other values (28) 28
51.9%
(Missing) 3
 
5.6%
ValueCountFrequency (%)
7505 1
1.9%
7516 2
3.7%
7527 1
1.9%
7540 1
1.9%
7548 1
1.9%
7552 1
1.9%
7556 1
1.9%
7572 1
1.9%
7587 1
1.9%
7590 2
3.7%
ValueCountFrequency (%)
157930 1
1.9%
157925 1
1.9%
157910 1
1.9%
157897 1
1.9%
157849 1
1.9%
157823 1
1.9%
7806 1
1.9%
7804 1
1.9%
7803 2
3.7%
7788 1
1.9%

사업장명
Text

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-06T21:00:56.201720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length7.0925926
Min length3

Characters and Unicode

Total characters383
Distinct characters114
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

Unique52 ?
Unique (%)96.3%

Sample

1st row실로암안과병원
2nd row유광사여성병원
3rd row더와이즈황병원
4th row핑크힐병원
5th row뉴강서성심병원
ValueCountFrequency (%)
우리들병원 2
 
3.6%
경희생생한방병원 1
 
1.8%
강서365한방병원 1
 
1.8%
서울큰나무병원 1
 
1.8%
강서성모요양병원 1
 
1.8%
방화병원 1
 
1.8%
서울고든병원 1
 
1.8%
강서사랑요양병원 1
 
1.8%
튼튼병원 1
 
1.8%
새미래요양병원 1
 
1.8%
Other values (44) 44
80.0%
2024-04-06T21:00:56.834237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 55
 
14.4%
병 54
 
14.1%
서 23
 
6.0%
요 12
 
3.1%
강 12
 
3.1%
양 12
 
3.1%
울 11
 
2.9%
한 11
 
2.9%
방 11
 
2.9%
스 7
 
1.8%
Other values (104) 175
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 376
98.2%
Decimal Number 6
 
1.6%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 55
 
14.6%
병 54
 
14.4%
서 23
 
6.1%
요 12
 
3.2%
강 12
 
3.2%
양 12
 
3.2%
울 11
 
2.9%
한 11
 
2.9%
방 11
 
2.9%
스 7
 
1.9%
Other values (100) 168
44.7%
Decimal Number
ValueCountFrequency (%)
3 2
33.3%
6 2
33.3%
5 2
33.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 376
98.2%
Common 7
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 55
 
14.6%
병 54
 
14.4%
서 23
 
6.1%
요 12
 
3.2%
강 12
 
3.2%
양 12
 
3.2%
울 11
 
2.9%
한 11
 
2.9%
방 11
 
2.9%
스 7
 
1.9%
Other values (100) 168
44.7%
Common
ValueCountFrequency (%)
3 2
28.6%
6 2
28.6%
5 2
28.6%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 376
98.2%
ASCII 7
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 55
 
14.6%
병 54
 
14.4%
서 23
 
6.1%
요 12
 
3.2%
강 12
 
3.2%
양 12
 
3.2%
울 11
 
2.9%
한 11
 
2.9%
방 11
 
2.9%
스 7
 
1.9%
Other values (100) 168
44.7%
ASCII
ValueCountFrequency (%)
3 2
28.6%
6 2
28.6%
5 2
28.6%
1
14.3%

최종수정일자
Date

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2010-03-03 16:09:28
Maximum2024-04-02 12:57:06
2024-04-06T21:00:57.124431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:00:57.390908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
U
37 
I
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 37
68.5%
I 17
31.5%

Length

2024-04-06T21:00:57.613115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:00:57.845589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 37
68.5%
i 17
31.5%

데이터갱신일자
Date

Distinct39
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-04-06T21:00:58.066438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:00:58.356789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

업태구분명
Categorical

Distinct6
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
병원
24 
요양병원(일반요양병원)
12 
한방병원
10 
종합병원
4 
치과병원
3 

Length

Max length12
Median length4
Mean length4.8888889
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
병원 24
44.4%
요양병원(일반요양병원) 12
22.2%
한방병원 10
18.5%
종합병원 4
 
7.4%
치과병원 3
 
5.6%
정신병원 1
 
1.9%

Length

2024-04-06T21:00:58.635204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:00:58.869175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 24
44.4%
요양병원(일반요양병원 12
22.2%
한방병원 10
18.5%
종합병원 4
 
7.4%
치과병원 3
 
5.6%
정신병원 1
 
1.9%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)88.7%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean185631.11
Minimum182141.21
Maximum188933.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-06T21:00:59.187121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182141.21
5-th percentile182940.09
Q1185417.67
median185697.91
Q3186299.74
95-th percentile187828.34
Maximum188933.76
Range6792.5568
Interquartile range (IQR)882.07156

Descriptive statistics

Standard deviation1515.7207
Coefficient of variation (CV)0.0081652303
Kurtosis0.43208544
Mean185631.11
Median Absolute Deviation (MAD)549.01428
Skewness-0.37947049
Sum9838448.6
Variance2297409.3
MonotonicityNot monotonic
2024-04-06T21:00:59.479490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
186299.74267687 2
 
3.7%
182940.086694869 2
 
3.7%
185697.914575041 2
 
3.7%
185684.894440424 2
 
3.7%
187632.708143175 2
 
3.7%
182141.205465089 2
 
3.7%
185758.413008633 1
 
1.9%
186277.225943697 1
 
1.9%
187160.665637183 1
 
1.9%
183500.183270254 1
 
1.9%
Other values (37) 37
68.5%
ValueCountFrequency (%)
182141.205465089 2
3.7%
182940.086694869 2
3.7%
183039.073279899 1
1.9%
183087.143467593 1
1.9%
183284.388090473 1
1.9%
183500.183270254 1
1.9%
183782.987028949 1
1.9%
184496.437996802 1
1.9%
184844.841587036 1
1.9%
185148.900294753 1
1.9%
ValueCountFrequency (%)
188933.762268533 1
1.9%
188873.308682321 1
1.9%
187974.228864018 1
1.9%
187731.084393625 1
1.9%
187632.708143175 2
3.7%
187160.665637183 1
1.9%
187117.224057771 1
1.9%
187059.703431437 1
1.9%
186806.918940076 1
1.9%
186764.38128991 1
1.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)88.7%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean450098.76
Minimum447508.74
Maximum452456.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-06T21:00:59.848074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447508.74
5-th percentile447532.22
Q1448911.26
median450478.96
Q3450868.72
95-th percentile452326.81
Maximum452456.96
Range4948.2281
Interquartile range (IQR)1957.4558

Descriptive statistics

Standard deviation1361.1772
Coefficient of variation (CV)0.0030241745
Kurtosis-0.64646062
Mean450098.76
Median Absolute Deviation (MAD)1075.1542
Skewness-0.18065314
Sum23855234
Variance1852803.3
MonotonicityNot monotonic
2024-04-06T21:01:00.153468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
450792.016505679 2
 
3.7%
452319.805032727 2
 
3.7%
448754.441792265 2
 
3.7%
447532.217283307 2
 
3.7%
447508.735516282 2
 
3.7%
451078.47991 2
 
3.7%
448865.327203194 1
 
1.9%
449342.679463194 1
 
1.9%
450873.017067141 1
 
1.9%
452337.321434998 1
 
1.9%
Other values (37) 37
68.5%
ValueCountFrequency (%)
447508.735516282 2
3.7%
447532.217283307 2
3.7%
447873.285103959 1
1.9%
448361.495133865 1
1.9%
448754.441792265 2
3.7%
448833.020780674 1
1.9%
448865.327203194 1
1.9%
448886.827025747 1
1.9%
448892.642715531 1
1.9%
448899.500159804 1
1.9%
ValueCountFrequency (%)
452456.963629957 1
1.9%
452352.098258214 1
1.9%
452337.321434998 1
1.9%
452319.805032727 2
3.7%
452237.309625707 1
1.9%
451677.575370424 1
1.9%
451554.110365625 1
1.9%
451250.989386617 1
1.9%
451078.47991 2
3.7%
450885.185701751 1
1.9%

의료기관종별명
Categorical

Distinct6
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
30 
병원
11 
요양병원(일반요양병원)
8 
한방병원
 
2
치과병원
 
2

Length

Max length12
Median length4
Mean length4.7777778
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
55.6%
병원 11
 
20.4%
요양병원(일반요양병원) 8
 
14.8%
한방병원 2
 
3.7%
치과병원 2
 
3.7%
종합병원 1
 
1.9%

Length

2024-04-06T21:01:00.422867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:01:00.646593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
55.6%
병원 11
 
20.4%
요양병원(일반요양병원 8
 
14.8%
한방병원 2
 
3.7%
치과병원 2
 
3.7%
종합병원 1
 
1.9%

의료인수
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)75.0%
Missing30
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean30.333333
Minimum2
Maximum186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-06T21:01:01.367602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median19
Q328.75
95-th percentile136.95
Maximum186
Range184
Interquartile range (IQR)22.75

Descriptive statistics

Standard deviation44.958596
Coefficient of variation (CV)1.4821515
Kurtosis7.8635534
Mean30.333333
Median Absolute Deviation (MAD)13
Skewness2.8540702
Sum728
Variance2021.2754
MonotonicityNot monotonic
2024-04-06T21:01:01.577351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
4 3
 
5.6%
6 2
 
3.7%
20 2
 
3.7%
19 2
 
3.7%
13 2
 
3.7%
2 1
 
1.9%
44 1
 
1.9%
12 1
 
1.9%
153 1
 
1.9%
5 1
 
1.9%
Other values (8) 8
 
14.8%
(Missing) 30
55.6%
ValueCountFrequency (%)
2 1
 
1.9%
4 3
5.6%
5 1
 
1.9%
6 2
3.7%
8 1
 
1.9%
12 1
 
1.9%
13 2
3.7%
19 2
3.7%
20 2
3.7%
21 1
 
1.9%
ValueCountFrequency (%)
186 1
1.9%
153 1
1.9%
46 1
1.9%
44 1
1.9%
36 1
1.9%
34 1
1.9%
27 1
1.9%
26 1
1.9%
21 1
1.9%
20 2
3.7%

입원실수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)75.0%
Missing30
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean16.666667
Minimum0
Maximum41
Zeros2
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-06T21:01:01.831011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q110.75
median13
Q323.25
95-th percentile37.95
Maximum41
Range41
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation11.130322
Coefficient of variation (CV)0.66781929
Kurtosis-0.094675409
Mean16.666667
Median Absolute Deviation (MAD)7.5
Skewness0.60383625
Sum400
Variance123.88406
MonotonicityNot monotonic
2024-04-06T21:01:02.130862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
11 3
 
5.6%
13 3
 
5.6%
0 2
 
3.7%
4 2
 
3.7%
16 1
 
1.9%
39 1
 
1.9%
20 1
 
1.9%
24 1
 
1.9%
32 1
 
1.9%
8 1
 
1.9%
Other values (8) 8
 
14.8%
(Missing) 30
55.6%
ValueCountFrequency (%)
0 2
3.7%
4 2
3.7%
8 1
 
1.9%
10 1
 
1.9%
11 3
5.6%
12 1
 
1.9%
13 3
5.6%
16 1
 
1.9%
19 1
 
1.9%
20 1
 
1.9%
ValueCountFrequency (%)
41 1
1.9%
39 1
1.9%
32 1
1.9%
29 1
1.9%
26 1
1.9%
24 1
1.9%
23 1
1.9%
21 1
1.9%
20 1
1.9%
19 1
1.9%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)79.2%
Missing30
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean84
Minimum0
Maximum213
Zeros2
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-06T21:01:02.342738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.05
Q136
median61.5
Q3127.25
95-th percentile192.2
Maximum213
Range213
Interquartile range (IQR)91.25

Descriptive statistics

Standard deviation61.641319
Coefficient of variation (CV)0.73382522
Kurtosis-0.65698635
Mean84
Median Absolute Deviation (MAD)33
Skewness0.6438617
Sum2016
Variance3799.6522
MonotonicityNot monotonic
2024-04-06T21:01:02.582788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
30 3
 
5.6%
165 2
 
3.7%
51 2
 
3.7%
0 2
 
3.7%
213 1
 
1.9%
49 1
 
1.9%
62 1
 
1.9%
128 1
 
1.9%
119 1
 
1.9%
197 1
 
1.9%
Other values (9) 9
 
16.7%
(Missing) 30
55.6%
ValueCountFrequency (%)
0 2
3.7%
27 1
 
1.9%
30 3
5.6%
38 1
 
1.9%
49 1
 
1.9%
51 2
3.7%
57 1
 
1.9%
61 1
 
1.9%
62 1
 
1.9%
66 1
 
1.9%
ValueCountFrequency (%)
213 1
1.9%
197 1
1.9%
165 2
3.7%
158 1
1.9%
128 1
1.9%
127 1
1.9%
119 1
1.9%
110 1
1.9%
82 1
1.9%
66 1
1.9%

총면적
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)100.0%
Missing30
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean3020.1625
Minimum244.2
Maximum11837.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-06T21:01:02.778606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244.2
5-th percentile340.033
Q11479.85
median2117.605
Q32834.135
95-th percentile10921.288
Maximum11837.02
Range11592.82
Interquartile range (IQR)1354.285

Descriptive statistics

Standard deviation3087.9276
Coefficient of variation (CV)1.0224376
Kurtosis3.9613762
Mean3020.1625
Median Absolute Deviation (MAD)679.59
Skewness2.1584372
Sum72483.9
Variance9535296.8
MonotonicityNot monotonic
2024-04-06T21:01:03.027457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
244.2 1
 
1.9%
2194.34 1
 
1.9%
2797.18 1
 
1.9%
1438.0 1
 
1.9%
1150.23 1
 
1.9%
2269.69 1
 
1.9%
1709.28 1
 
1.9%
11837.02 1
 
1.9%
1908.99 1
 
1.9%
1384.75 1
 
1.9%
Other values (14) 14
25.9%
(Missing) 30
55.6%
ValueCountFrequency (%)
244.2 1
1.9%
255.7 1
1.9%
817.92 1
1.9%
1150.23 1
1.9%
1384.75 1
1.9%
1438.0 1
1.9%
1493.8 1
1.9%
1547.0 1
1.9%
1709.28 1
1.9%
1906.0 1
1.9%
ValueCountFrequency (%)
11837.02 1
1.9%
11377.96 1
1.9%
8333.48 1
1.9%
4520.0 1
1.9%
3267.04 1
1.9%
2945.0 1
1.9%
2797.18 1
1.9%
2359.0 1
1.9%
2348.1 1
1.9%
2338.35 1
1.9%

진료과목내용
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing30
Missing (%)55.6%
Memory size564.0 B
2024-04-06T21:01:03.345856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length35
Mean length26.5
Min length3

Characters and Unicode

Total characters636
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row101 112
2nd row101 111 106 105 104 109 116 118 114 115 110 120 122
3rd row301 302 303 304 305 308
4th row101 104 109 116 122
5th row401
ValueCountFrequency (%)
101 16
 
9.7%
105 14
 
8.5%
120 13
 
7.9%
106 12
 
7.3%
104 10
 
6.1%
116 9
 
5.5%
122 9
 
5.5%
109 8
 
4.8%
102 8
 
4.8%
115 7
 
4.2%
Other values (28) 59
35.8%
2024-04-06T21:01:03.886488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 191
30.0%
141
22.2%
0 123
19.3%
2 43
 
6.8%
3 33
 
5.2%
4 30
 
4.7%
6 26
 
4.1%
5 25
 
3.9%
9 10
 
1.6%
8 9
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 495
77.8%
Space Separator 141
 
22.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 191
38.6%
0 123
24.8%
2 43
 
8.7%
3 33
 
6.7%
4 30
 
6.1%
6 26
 
5.3%
5 25
 
5.1%
9 10
 
2.0%
8 9
 
1.8%
7 5
 
1.0%
Space Separator
ValueCountFrequency (%)
141
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 636
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 191
30.0%
141
22.2%
0 123
19.3%
2 43
 
6.8%
3 33
 
5.2%
4 30
 
4.7%
6 26
 
4.1%
5 25
 
3.9%
9 10
 
1.6%
8 9
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 636
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 191
30.0%
141
22.2%
0 123
19.3%
2 43
 
6.8%
3 33
 
5.2%
4 30
 
4.7%
6 26
 
4.1%
5 25
 
3.9%
9 10
 
1.6%
8 9
 
1.4%

진료과목내용명
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing30
Missing (%)55.6%
Memory size564.0 B
2024-04-06T21:01:04.277908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length44
Mean length41.5
Min length2

Characters and Unicode

Total characters996
Distinct characters60
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

Unique24 ?
Unique (%)100.0%

Sample

1st row내과, 안과
2nd row내과, 외과, 정형외과, 신경외과, 마취통증의학과, 산부인과, 소아청소년과, 피부과, 비뇨의학과, 영상의학과, 병리과, 재활의학과, 가정의학과
3rd row한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 침구과
4th row내과, 외과, 마취통증의학과, 영상의학과, 가정의학과
5th row치과
ValueCountFrequency (%)
내과 16
 
9.7%
정형외과 14
 
8.5%
재활의학과 13
 
7.9%
신경외과 12
 
7.3%
외과 10
 
6.1%
영상의학과 9
 
5.5%
가정의학과 9
 
5.5%
마취통증의학과 8
 
4.8%
신경과 8
 
4.8%
비뇨의학과 7
 
4.2%
Other values (28) 59
35.8%
2024-04-06T21:01:05.253046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 168
16.9%
, 141
14.2%
141
14.2%
학 54
 
5.4%
의 53
 
5.3%
외 38
 
3.8%
정 28
 
2.8%
신 27
 
2.7%
경 23
 
2.3%
내 22
 
2.2%
Other values (50) 301
30.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 710
71.3%
Other Punctuation 145
 
14.6%
Space Separator 141
 
14.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 168
23.7%
학 54
 
7.6%
의 53
 
7.5%
외 38
 
5.4%
정 28
 
3.9%
신 27
 
3.8%
경 23
 
3.2%
내 22
 
3.1%
방 19
 
2.7%
한 18
 
2.5%
Other values (47) 260
36.6%
Other Punctuation
ValueCountFrequency (%)
, 141
97.2%
? 4
 
2.8%
Space Separator
ValueCountFrequency (%)
141
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 710
71.3%
Common 286
28.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 168
23.7%
학 54
 
7.6%
의 53
 
7.5%
외 38
 
5.4%
정 28
 
3.9%
신 27
 
3.8%
경 23
 
3.2%
내 22
 
3.1%
방 19
 
2.7%
한 18
 
2.5%
Other values (47) 260
36.6%
Common
ValueCountFrequency (%)
, 141
49.3%
141
49.3%
? 4
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 710
71.3%
ASCII 286
28.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 168
23.7%
학 54
 
7.6%
의 53
 
7.5%
외 38
 
5.4%
정 28
 
3.9%
신 27
 
3.8%
경 23
 
3.2%
내 22
 
3.1%
방 19
 
2.7%
한 18
 
2.5%
Other values (47) 260
36.6%
ASCII
ValueCountFrequency (%)
, 141
49.3%
141
49.3%
? 4
 
1.4%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

구급차특수
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
30 
0
24 

Length

Max length4
Median length4
Mean length2.6666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
55.6%
0 24
44.4%

Length

2024-04-06T21:01:05.551987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:01:05.736708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
55.6%
0 24
44.4%

구급차일반
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
30 
0
24 

Length

Max length4
Median length4
Mean length2.6666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
55.6%
0 24
44.4%

Length

2024-04-06T21:01:05.955856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:01:06.257162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
55.6%
0 24
44.4%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

허가병상수
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
30 
0
24 

Length

Max length4
Median length4
Mean length2.6666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
55.6%
0 24
44.4%

Length

2024-04-06T21:01:06.478008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:01:06.706738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
55.6%
0 24
44.4%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
03150000PHMA21986315003702120000119860218<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2650-0700<NA><NA>서울특별시 강서구 등촌동 512번지 18호서울특별시 강서구 등촌로 181 (등촌동, 실로암안과병원)7668실로암안과병원2020-03-16 10:32:58U2020-03-18 02:40:00.0병원187731.084394449330.10714병원4613518333.48101 112내과, 안과<NA><NA><NA>00<NA><NA>0<NA>
13150000PHMA2199431500370212000011994-04-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2608-10114010.66<NA>서울특별시 강서구 화곡동 1031번지 12호서울특별시 강서구 강서로 194 (화곡동)7698유광사여성병원2023-08-11 14:50:39U2022-12-07 23:03:00.0병원185695.270518449055.885616<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23150000PHMA21997315003702120000119970929<NA>3폐업3폐업20220718<NA><NA><NA>02-2600-5024<NA><NA>서울특별시 강서구 화곡동 105-68 더와이즈황병원서울특별시 강서구 까치산로 23, 더와이즈황병원 (화곡동)7727더와이즈황병원2022-07-18 14:56:52U2021-12-06 22:00:00.0병원186055.847418448886.827026<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33150000PHMA2199931500370212000011999-06-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2658-51141435.83157-862서울특별시 강서구 염창동 263번지 3호서울특별시 강서구 양천로 712 (염창동)7556핑크힐병원2023-10-25 17:14:29U2022-10-30 22:07:00.0병원188873.308682449696.809808<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43150000PHMA22000315003702120000120000328<NA>3폐업3폐업20180705<NA><NA><NA>02-2665-0911<NA>157849서울특별시 강서구 방화1동 487번지 5호서울특별시 강서구 양천로 45-5 (방화동)7516뉴강서성심병원2018-07-03 09:16:27I2018-08-31 23:59:59.0병원183039.07328452352.098258병원811271493.8101 111 106 105 104 109 116 118 114 115 110 120 122내과, 외과, 정형외과, 신경외과, 마취통증의학과, 산부인과, 소아청소년과, 피부과, 비뇨의학과, 영상의학과, 병리과, 재활의학과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
53150000PHMA2200031500370212000022000-01-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2007-1000<NA>157-833서울특별시 강서구 내발산동 701번지 4호 외 6필지, 701번지, 701-21외 2필지서울특별시 강서구 강서로 295 (내발산동)7639미즈메디병원2023-02-02 11:13:55U2022-12-02 00:04:00.0종합병원185439.385067450008.139145<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63150000PHMA2200131500370212000012001-05-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2608-88552406.54157-882서울특별시 강서구 화곡동 349번지 3호서울특별시 강서구 강서로17길 24 (화곡동)7769강서필병원2024-02-29 10:53:36U2023-12-03 00:02:00.0정신병원186171.569591447873.285104<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73150000PHMA2200131500370212000022001-08-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2605-21144093.0<NA>서울특별시 강서구 화곡동 1052번지 6호서울특별시 강서구 강서로 182 (화곡동)7702참요양병원2024-01-17 15:54:07U2023-11-30 23:09:00.0요양병원(일반요양병원)185764.898846448963.082544<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83150000PHMA22001315003702120000320011219<NA>3폐업3폐업201410312014090420140930<NA>02-2699-8293<NA>157910서울특별시 강서구 화곡1동 938번지 19호서울특별시 강서구 곰달래로 54 (화곡동)157910서울한방병원2015-03-23 15:58:47I2018-08-31 23:59:59.0한방병원185684.89444447532.217283한방병원4838817.92301 302 303 304 305 308한방내과, 한방부인과, 한방소아과, 한방안?이비인후?피부과, 한방신경정신과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
93150000PHMA22003315003702120000120030128<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2659-0600<NA><NA>서울특별시 강서구 등촌동 669번지 1호서울특별시 강서구 공항대로 315 (등촌동, 서울시니어강서타워)7591강서송도병원2018-11-27 08:52:00U2018-11-29 02:40:00.0병원186043.311279450704.666838병원2716514520.0101 104 109 116 122내과, 외과, 마취통증의학과, 영상의학과, 가정의학과<NA><NA><NA>00<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
443150000PHMA2201931500370212000022019-06-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2603-0300<NA><NA><NA>서울특별시 강서구 금낭화로 9, 바른세상병원 1,2,3,4,5,층 6,7호 (방화동)7614강서바른세상병원2023-06-21 16:55:11U2022-12-05 22:03:00.0병원183284.38809451554.110366<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453150000PHMA2201931500370212000032019-06-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-333-51513671.59<NA>서울특별시 강서구 마곡동 797 에이스타워 마곡서울특별시 강서구 공항대로 237, 에이스타워 마곡 3,4,5,6층 (마곡동)7803에스앤유서울병원2023-10-27 15:51:55U2022-10-30 22:09:00.0병원185253.478151450811.037606<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
463150000PHMA2202031500370212000012020-02-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3663-67866340.58<NA>서울특별시 강서구 염창동 252번지 14호서울특별시 강서구 양천로 715, 지하3층~8층 (염창동)7540더서밋요양병원2024-01-18 17:26:22U2023-11-30 22:00:00.0요양병원(일반요양병원)188933.762269449722.993691<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
473150000PHMA2202031500370212000022020-06-17<NA>1영업/정상13영업중<NA><NA><NA><NA>1833-63754143.98<NA>서울특별시 강서구 마곡동 800번지 5호서울특별시 강서구 공항대로 228, 4,5층 (마곡동)7806무척바른한방병원2023-08-09 08:51:00U2022-12-07 23:01:00.0한방병원185148.900295450719.380288<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
483150000PHMA2202031500370212000032020-07-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6949-0337<NA><NA>서울특별시 강서구 마곡동 799-11 파인스퀘어서울특별시 강서구 마곡중앙4로 22, 파인스퀘어 3,4층 (마곡동)7631보금한방병원2023-07-06 13:51:26U2022-12-07 00:08:00.0한방병원184844.841587450680.365609<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
493150000PHMA2202131500370212000012021-01-27<NA>1영업/정상13영업중<NA><NA><NA><NA>1833-75551924.16<NA>서울특별시 강서구 화곡동 114-12 FAKER TOWER서울특별시 강서구 화곡로 188, FAKER TOWER 1,3~8층 (화곡동)7727치유본한방병원2024-02-05 17:17:55U2023-12-02 00:07:00.0한방병원186001.490296448899.50016<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503150000PHMA2202231500370212000012022-02-25<NA>1영업/정상13영업중<NA><NA><NA><NA>1544-58883070.4<NA>서울특별시 강서구 화곡동 1051-22서울특별시 강서구 강서로 179, 6~10층 (화곡동)7714서울원병원2023-08-22 15:32:46U2022-12-07 22:04:00.0병원185725.161391448911.264785<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513150000PHMA2202231500370212000022022-04-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6953-82265117.0<NA>서울특별시 강서구 내발산동 668서울특별시 강서구 강서로 323, 4~8층 (내발산동)7632비에스코아이비인후과병원2024-02-01 13:22:19U2023-12-02 00:03:00.0병원185487.641769450280.858563<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523150000PHMA2202231500370212000032022-09-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3663-36553861.05<NA>서울특별시 강서구 등촌동 726 가양역 두산위브서울특별시 강서구 공항대로45길 15, 상가동 7~11층 (등촌동, 가양역 두산위브)7572강서365한방병원2024-03-19 14:55:00U2023-12-02 22:01:00.0한방병원187059.703431450478.95614<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533150000PHMA2202331500370212000012023-05-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1600-8205<NA><NA>서울특별시 강서구 내발산동 654서울특별시 강서구 강서로 357 (내발산동)7632서울필병원2023-05-03 11:16:15I2022-12-05 00:07:00.0병원185569.392872450611.074306<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>