Overview

Dataset statistics

Number of variables27
Number of observations29
Missing cells229
Missing cells (%)29.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory233.6 B

Variable types

Categorical9
Numeric3
DateTime4
Unsupported6
Text5

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),법인구분명,구분명
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-20192/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (78.4%)Imbalance
인허가취소일자 has 29 (100.0%) missing valuesMissing
폐업일자 has 14 (48.3%) missing valuesMissing
휴업시작일자 has 29 (100.0%) missing valuesMissing
휴업종료일자 has 29 (100.0%) missing valuesMissing
재개업일자 has 29 (100.0%) missing valuesMissing
전화번호 has 15 (51.7%) missing valuesMissing
소재지면적 has 29 (100.0%) missing valuesMissing
지번주소 has 8 (27.6%) missing valuesMissing
도로명우편번호 has 14 (48.3%) missing valuesMissing
업태구분명 has 29 (100.0%) missing valuesMissing
좌표정보(X) has 2 (6.9%) missing valuesMissing
좌표정보(Y) has 2 (6.9%) missing valuesMissing
관리번호 has unique valuesUnique
도로명주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:17:39.995434
Analysis finished2024-05-11 06:17:40.658512
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
3150000
29 

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 29
100.0%

Length

2024-05-11T15:17:40.943923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:17:41.149496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 29
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0119702 × 1018
Minimum2.002315 × 1018
Maximum2.023315 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-05-11T15:17:41.675852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.002315 × 1018
5-th percentile2.002315 × 1018
Q12.007315 × 1018
median2.010315 × 1018
Q32.019315 × 1018
95-th percentile2.020915 × 1018
Maximum2.023315 × 1018
Range2.1000013 × 1016
Interquartile range (IQR)1.2000009 × 1016

Descriptive statistics

Standard deviation6.7468339 × 1015
Coefficient of variation (CV)0.0033533469
Kurtosis-1.3821732
Mean2.0119702 × 1018
Median Absolute Deviation (MAD)7.0000033 × 1015
Skewness0.11712161
Sum3.0069032 × 1018
Variance4.5519768 × 1031
MonotonicityStrictly increasing
2024-05-11T15:17:41.839592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2002315007611200001 1
 
3.4%
2002315007611200002 1
 
3.4%
2023315020114500008 1
 
3.4%
2021315020114500002 1
 
3.4%
2020315020114500030 1
 
3.4%
2020315020114500029 1
 
3.4%
2020315020114500017 1
 
3.4%
2020315020114500010 1
 
3.4%
2019315020114500018 1
 
3.4%
2019315020114500014 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
2002315007611200001 1
3.4%
2002315007611200002 1
3.4%
2002315007611200003 1
3.4%
2003315007611200001 1
3.4%
2003315007611200002 1
3.4%
2006315007611200001 1
3.4%
2007315010911200002 1
3.4%
2007315010911200003 1
3.4%
2007315010911200004 1
3.4%
2007315010911200005 1
3.4%
ValueCountFrequency (%)
2023315020114500008 1
3.4%
2021315020114500002 1
3.4%
2020315020114500030 1
3.4%
2020315020114500029 1
3.4%
2020315020114500017 1
3.4%
2020315020114500010 1
3.4%
2019315020114500018 1
3.4%
2019315020114500014 1
3.4%
2017315016614500011 1
3.4%
2017315016614500002 1
3.4%

인허가일자
Date

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum1997-03-05 00:00:00
Maximum2022-11-30 00:00:00
2024-05-11T15:17:41.996843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:17:42.194646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
3
14 
1
10 
5
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 14
48.3%
1 10
34.5%
5 5
 
17.2%

Length

2024-05-11T15:17:42.423419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:17:42.593145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 14
48.3%
1 10
34.5%
5 5
 
17.2%

영업상태명
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
폐업
14 
영업/정상
10 
제외/삭제/전출
5 

Length

Max length8
Median length5
Mean length4.0689655
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 14
48.3%
영업/정상 10
34.5%
제외/삭제/전출 5
 
17.2%

Length

2024-05-11T15:17:42.826337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:17:42.995938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 14
48.3%
영업/정상 10
34.5%
제외/삭제/전출 5
 
17.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
40
14 
20
10 
50
5 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row40
2nd row40
3rd row40
4th row20
5th row40

Common Values

ValueCountFrequency (%)
40 14
48.3%
20 10
34.5%
50 5
 
17.2%

Length

2024-05-11T15:17:43.163287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:17:43.317308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 14
48.3%
20 10
34.5%
50 5
 
17.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
폐업
14 
영업중
10 
타시군구이관
5 

Length

Max length6
Median length3
Mean length3.0344828
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 14
48.3%
영업중 10
34.5%
타시군구이관 5
 
17.2%

Length

2024-05-11T15:17:43.496051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:17:43.660519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 14
48.3%
영업중 10
34.5%
타시군구이관 5
 
17.2%

폐업일자
Date

MISSING 

Distinct13
Distinct (%)86.7%
Missing14
Missing (%)48.3%
Memory size364.0 B
Minimum2008-03-25 00:00:00
Maximum2023-08-11 00:00:00
2024-05-11T15:17:43.788683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:17:43.920278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

전화번호
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing15
Missing (%)51.7%
Memory size364.0 B
2024-05-11T15:17:44.117208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.571429
Min length10

Characters and Unicode

Total characters162
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 (%)100.0%

Sample

1st row0226043917
2nd row02 36640322
3rd row0232190575
4th row000236645920
5th row02 36653831
ValueCountFrequency (%)
02 9
39.1%
0226043917 1
 
4.3%
36640322 1
 
4.3%
0232190575 1
 
4.3%
000236645920 1
 
4.3%
36653831 1
 
4.3%
36613401 1
 
4.3%
34508804 1
 
4.3%
000226588800 1
 
4.3%
0220622079 1
 
4.3%
Other values (5) 5
21.7%
2024-05-11T15:17:44.566146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 32
19.8%
2 30
18.5%
6 20
12.3%
18
11.1%
3 11
 
6.8%
5 11
 
6.8%
8 11
 
6.8%
1 8
 
4.9%
4 7
 
4.3%
9 7
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 144
88.9%
Space Separator 18
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32
22.2%
2 30
20.8%
6 20
13.9%
3 11
 
7.6%
5 11
 
7.6%
8 11
 
7.6%
1 8
 
5.6%
4 7
 
4.9%
9 7
 
4.9%
7 7
 
4.9%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 162
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 32
19.8%
2 30
18.5%
6 20
12.3%
18
11.1%
3 11
 
6.8%
5 11
 
6.8%
8 11
 
6.8%
1 8
 
4.9%
4 7
 
4.3%
9 7
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 162
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 32
19.8%
2 30
18.5%
6 20
12.3%
18
11.1%
3 11
 
6.8%
5 11
 
6.8%
8 11
 
6.8%
1 8
 
4.9%
4 7
 
4.3%
9 7
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
28 
157861
 
1

Length

Max length6
Median length4
Mean length4.0689655
Min length4

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
96.6%
157861 1
 
3.4%

Length

2024-05-11T15:17:44.812031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:17:45.024643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
96.6%
157861 1
 
3.4%

지번주소
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing8
Missing (%)27.6%
Memory size364.0 B
2024-05-11T15:17:45.384846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length33
Mean length29.190476
Min length13

Characters and Unicode

Total characters613
Distinct characters100
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 row서울특별시 강남구 개포동 141호 37통 5반 주공아파트 106 404
2nd row서울특별시 강서구 가양동
3rd row서울특별시 강서구 화곡동 1091호 20통 2반 화곡대우그랜드월드아파트 135 602
4th row서울특별시 강서구 등촌3동 661번지 4호
5th row서울특별시 용산구 원효로3가 252번지 9호 7통 2반
ValueCountFrequency (%)
서울특별시 17
 
12.9%
강서구 15
 
11.4%
마곡동 3
 
2.3%
화곡동 3
 
2.3%
3반 2
 
1.5%
9호 2
 
1.5%
가양동 2
 
1.5%
등촌3동 2
 
1.5%
2반 2
 
1.5%
2호 2
 
1.5%
Other values (82) 82
62.1%
2024-05-11T15:17:46.077950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
 
18.1%
서 34
 
5.5%
1 29
 
4.7%
구 22
 
3.6%
동 22
 
3.6%
시 22
 
3.6%
2 20
 
3.3%
0 19
 
3.1%
울 17
 
2.8%
별 17
 
2.8%
Other values (90) 300
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 343
56.0%
Decimal Number 145
23.7%
Space Separator 111
 
18.1%
Uppercase Letter 11
 
1.8%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 34
 
9.9%
구 22
 
6.4%
동 22
 
6.4%
시 22
 
6.4%
울 17
 
5.0%
별 17
 
5.0%
특 17
 
5.0%
호 16
 
4.7%
강 16
 
4.7%
지 14
 
4.1%
Other values (70) 146
42.6%
Decimal Number
ValueCountFrequency (%)
1 29
20.0%
2 20
13.8%
0 19
13.1%
6 15
10.3%
3 14
9.7%
9 12
8.3%
4 12
8.3%
5 11
 
7.6%
7 8
 
5.5%
8 5
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
I 3
27.3%
W 2
18.2%
M 1
 
9.1%
T 1
 
9.1%
O 1
 
9.1%
E 1
 
9.1%
R 1
 
9.1%
A 1
 
9.1%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 343
56.0%
Common 259
42.3%
Latin 11
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 34
 
9.9%
구 22
 
6.4%
동 22
 
6.4%
시 22
 
6.4%
울 17
 
5.0%
별 17
 
5.0%
특 17
 
5.0%
호 16
 
4.7%
강 16
 
4.7%
지 14
 
4.1%
Other values (70) 146
42.6%
Common
ValueCountFrequency (%)
111
42.9%
1 29
 
11.2%
2 20
 
7.7%
0 19
 
7.3%
6 15
 
5.8%
3 14
 
5.4%
9 12
 
4.6%
4 12
 
4.6%
5 11
 
4.2%
7 8
 
3.1%
Other values (2) 8
 
3.1%
Latin
ValueCountFrequency (%)
I 3
27.3%
W 2
18.2%
M 1
 
9.1%
T 1
 
9.1%
O 1
 
9.1%
E 1
 
9.1%
R 1
 
9.1%
A 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 343
56.0%
ASCII 270
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
41.1%
1 29
 
10.7%
2 20
 
7.4%
0 19
 
7.0%
6 15
 
5.6%
3 14
 
5.2%
9 12
 
4.4%
4 12
 
4.4%
5 11
 
4.1%
7 8
 
3.0%
Other values (10) 19
 
7.0%
Hangul
ValueCountFrequency (%)
서 34
 
9.9%
구 22
 
6.4%
동 22
 
6.4%
시 22
 
6.4%
울 17
 
5.0%
별 17
 
5.0%
특 17
 
5.0%
호 16
 
4.7%
강 16
 
4.7%
지 14
 
4.1%
Other values (70) 146
42.6%

도로명주소
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-05-11T15:17:46.443825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length33.448276
Min length22

Characters and Unicode

Total characters970
Distinct characters126
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 선릉로 7, 106동 404호 (개포동,주공아파트)
2nd row서울특별시 강서구 허준로 95-9 (가양동)
3rd row서울특별시 강서구 화곡로13길 107, 135동 602호 (화곡동,화곡대우그랜드월드아파트)
4th row서울특별시 강서구 화곡로61길 85 (등촌동)
5th row서울특별시 용산구 원효로31길 12-11 (원효로3가)
ValueCountFrequency (%)
서울특별시 25
 
13.5%
강서구 23
 
12.4%
등촌동 7
 
3.8%
마곡동 6
 
3.2%
공항대로 5
 
2.7%
3층 3
 
1.6%
화곡동 3
 
1.6%
가양동 3
 
1.6%
마곡중앙2로 2
 
1.1%
양천로 2
 
1.1%
Other values (99) 106
57.3%
2024-05-11T15:17:47.044603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
 
16.1%
서 53
 
5.5%
1 42
 
4.3%
동 39
 
4.0%
로 30
 
3.1%
구 30
 
3.1%
시 30
 
3.1%
( 29
 
3.0%
) 29
 
3.0%
강 26
 
2.7%
Other values (116) 506
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 548
56.5%
Decimal Number 169
 
17.4%
Space Separator 156
 
16.1%
Open Punctuation 29
 
3.0%
Close Punctuation 29
 
3.0%
Other Punctuation 24
 
2.5%
Uppercase Letter 11
 
1.1%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 53
 
9.7%
동 39
 
7.1%
로 30
 
5.5%
구 30
 
5.5%
시 30
 
5.5%
강 26
 
4.7%
별 25
 
4.6%
울 25
 
4.6%
특 25
 
4.6%
곡 19
 
3.5%
Other values (93) 246
44.9%
Decimal Number
ValueCountFrequency (%)
1 42
24.9%
2 21
12.4%
3 21
12.4%
6 20
11.8%
0 18
10.7%
5 14
 
8.3%
4 11
 
6.5%
8 9
 
5.3%
7 8
 
4.7%
9 5
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
I 3
27.3%
W 2
18.2%
M 1
 
9.1%
T 1
 
9.1%
O 1
 
9.1%
E 1
 
9.1%
R 1
 
9.1%
A 1
 
9.1%
Space Separator
ValueCountFrequency (%)
156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 548
56.5%
Common 411
42.4%
Latin 11
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 53
 
9.7%
동 39
 
7.1%
로 30
 
5.5%
구 30
 
5.5%
시 30
 
5.5%
강 26
 
4.7%
별 25
 
4.6%
울 25
 
4.6%
특 25
 
4.6%
곡 19
 
3.5%
Other values (93) 246
44.9%
Common
ValueCountFrequency (%)
156
38.0%
1 42
 
10.2%
( 29
 
7.1%
) 29
 
7.1%
, 24
 
5.8%
2 21
 
5.1%
3 21
 
5.1%
6 20
 
4.9%
0 18
 
4.4%
5 14
 
3.4%
Other values (5) 37
 
9.0%
Latin
ValueCountFrequency (%)
I 3
27.3%
W 2
18.2%
M 1
 
9.1%
T 1
 
9.1%
O 1
 
9.1%
E 1
 
9.1%
R 1
 
9.1%
A 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 548
56.5%
ASCII 422
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
37.0%
1 42
 
10.0%
( 29
 
6.9%
) 29
 
6.9%
, 24
 
5.7%
2 21
 
5.0%
3 21
 
5.0%
6 20
 
4.7%
0 18
 
4.3%
5 14
 
3.3%
Other values (13) 48
 
11.4%
Hangul
ValueCountFrequency (%)
서 53
 
9.7%
동 39
 
7.1%
로 30
 
5.5%
구 30
 
5.5%
시 30
 
5.5%
강 26
 
4.7%
별 25
 
4.6%
울 25
 
4.6%
특 25
 
4.6%
곡 19
 
3.5%
Other values (93) 246
44.9%

도로명우편번호
Text

MISSING 

Distinct12
Distinct (%)80.0%
Missing14
Missing (%)48.3%
Memory size364.0 B
2024-05-11T15:17:47.364697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4666667
Min length5

Characters and Unicode

Total characters82
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

Unique9 ?
Unique (%)60.0%

Sample

1st row157807
2nd row157930
3rd row157-925
4th row157-930
5th row157925
ValueCountFrequency (%)
07807 2
13.3%
07806 2
13.3%
07631 2
13.3%
157807 1
6.7%
157930 1
6.7%
157-925 1
6.7%
157-930 1
6.7%
157925 1
6.7%
07653 1
6.7%
07551 1
6.7%
Other values (2) 2
13.3%
2024-05-11T15:17:47.930555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 19
23.2%
0 18
22.0%
5 11
13.4%
1 8
9.8%
6 6
 
7.3%
3 6
 
7.3%
8 5
 
6.1%
9 4
 
4.9%
- 2
 
2.4%
2 2
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80
97.6%
Dash Punctuation 2
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 19
23.8%
0 18
22.5%
5 11
13.8%
1 8
10.0%
6 6
 
7.5%
3 6
 
7.5%
8 5
 
6.2%
9 4
 
5.0%
2 2
 
2.5%
4 1
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 82
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 19
23.2%
0 18
22.0%
5 11
13.4%
1 8
9.8%
6 6
 
7.3%
3 6
 
7.3%
8 5
 
6.1%
9 4
 
4.9%
- 2
 
2.4%
2 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 82
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 19
23.2%
0 18
22.0%
5 11
13.4%
1 8
9.8%
6 6
 
7.3%
3 6
 
7.3%
8 5
 
6.1%
9 4
 
4.9%
- 2
 
2.4%
2 2
 
2.4%

사업장명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-05-11T15:17:48.264116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length13.103448
Min length6

Characters and Unicode

Total characters380
Distinct characters124
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row기쁜우리복지관
2nd row(사)장애인기업협회
3rd row강서고령자 취업알선센타
4th row서울시립강서노인종합복지관
5th row(사)한국장애인기업협회서울시지부
ValueCountFrequency (%)
사단법인 5
 
10.2%
전기공사취업정보 4
 
8.2%
기쁜우리복지관 1
 
2.0%
미래고용 1
 
2.0%
소통 1
 
2.0%
사)한국사회문화예술진흥원 1
 
2.0%
서울시지회 1
 
2.0%
장애여성인력개발센터 1
 
2.0%
한국고용진흥협회 1
 
2.0%
미래노사상생지원협회 1
 
2.0%
Other values (32) 32
65.3%
2024-05-11T15:17:48.925408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 26
 
6.8%
20
 
5.3%
회 12
 
3.2%
인 12
 
3.2%
업 11
 
2.9%
센 10
 
2.6%
기 10
 
2.6%
지 10
 
2.6%
취 9
 
2.4%
터 9
 
2.4%
Other values (114) 251
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 341
89.7%
Space Separator 20
 
5.3%
Open Punctuation 8
 
2.1%
Close Punctuation 8
 
2.1%
Decimal Number 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 26
 
7.6%
회 12
 
3.5%
인 12
 
3.5%
업 11
 
3.2%
센 10
 
2.9%
기 10
 
2.9%
지 10
 
2.9%
취 9
 
2.6%
터 9
 
2.6%
정 8
 
2.3%
Other values (108) 224
65.7%
Decimal Number
ValueCountFrequency (%)
0 1
33.3%
5 1
33.3%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 341
89.7%
Common 39
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 26
 
7.6%
회 12
 
3.5%
인 12
 
3.5%
업 11
 
3.2%
센 10
 
2.9%
기 10
 
2.9%
지 10
 
2.9%
취 9
 
2.6%
터 9
 
2.6%
정 8
 
2.3%
Other values (108) 224
65.7%
Common
ValueCountFrequency (%)
20
51.3%
( 8
 
20.5%
) 8
 
20.5%
0 1
 
2.6%
5 1
 
2.6%
4 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 341
89.7%
ASCII 39
 
10.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 26
 
7.6%
회 12
 
3.5%
인 12
 
3.5%
업 11
 
3.2%
센 10
 
2.9%
기 10
 
2.9%
지 10
 
2.9%
취 9
 
2.6%
터 9
 
2.6%
정 8
 
2.3%
Other values (108) 224
65.7%
ASCII
ValueCountFrequency (%)
20
51.3%
( 8
 
20.5%
) 8
 
20.5%
0 1
 
2.6%
5 1
 
2.6%
4 1
 
2.6%

최종수정일자
Date

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2003-08-26 13:01:27
Maximum2024-05-02 15:01:56
2024-05-11T15:17:49.143103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:17:49.383847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
U
24 
I
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 24
82.8%
I 5
 
17.2%

Length

2024-05-11T15:17:49.629298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:17:49.912568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 24
82.8%
i 5
 
17.2%

데이터갱신일자
Date

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T15:17:50.099989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:17:50.337667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)100.0%
Missing2
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean202426.79
Minimum182355.52
Maximum390300.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-05-11T15:17:50.570188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182355.52
5-th percentile183691.01
Q1185357.57
median186581.8
Q3187838.27
95-th percentile309954.83
Maximum390300.5
Range207944.98
Interquartile range (IQR)2480.7063

Descriptive statistics

Standard deviation48661.576
Coefficient of variation (CV)0.24039099
Kurtosis10.463286
Mean202426.79
Median Absolute Deviation (MAD)1370.7646
Skewness3.3020214
Sum5465523.3
Variance2.367949 × 109
MonotonicityNot monotonic
2024-05-11T15:17:50.797716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
186837.360122447 1
 
3.4%
184738.261113254 1
 
3.4%
184781.280173655 1
 
3.4%
185994.964119824 1
 
3.4%
184998.704481057 1
 
3.4%
183338.139503472 1
 
3.4%
184514.388814902 1
 
3.4%
187682.690357283 1
 
3.4%
186850.824018452 1
 
3.4%
185780.334655933 1
 
3.4%
Other values (17) 17
58.6%
(Missing) 2
 
6.9%
ValueCountFrequency (%)
182355.515588803 1
3.4%
183338.139503472 1
3.4%
184514.388814902 1
3.4%
184738.261113254 1
3.4%
184781.280173655 1
3.4%
184998.704481057 1
3.4%
185034.346957949 1
3.4%
185680.786227784 1
3.4%
185780.334655933 1
3.4%
185994.964119824 1
3.4%
ValueCountFrequency (%)
390300.495359163 1
3.4%
339393.012573076 1
3.4%
241265.737568 1
3.4%
205373.371090044 1
3.4%
196023.347197958 1
3.4%
189573.009615399 1
3.4%
187952.560027898 1
3.4%
187723.985818072 1
3.4%
187682.690357283 1
3.4%
187164.574210837 1
3.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)100.0%
Missing2
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean418298.93
Minimum183464.84
Maximum453103.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-05-11T15:17:51.043614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183464.84
5-th percentile206494.27
Q1448682.84
median450578.89
Q3450920.91
95-th percentile452076.36
Maximum453103.18
Range269638.34
Interquartile range (IQR)2238.0659

Descriptive statistics

Standard deviation80924.403
Coefficient of variation (CV)0.1934607
Kurtosis4.3572973
Mean418298.93
Median Absolute Deviation (MAD)1113.5038
Skewness-2.3740719
Sum11294071
Variance6.5487591 × 109
MonotonicityNot monotonic
2024-05-11T15:17:51.307176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
451692.39657905 1
 
3.4%
450672.351145246 1
 
3.4%
450666.840380388 1
 
3.4%
451596.45849391 1
 
3.4%
450740.541211248 1
 
3.4%
452154.953202965 1
 
3.4%
450797.722244176 1
 
3.4%
450578.892820906 1
 
3.4%
450258.958284373 1
 
3.4%
448789.494732982 1
 
3.4%
Other values (17) 17
58.6%
(Missing) 2
 
6.9%
ValueCountFrequency (%)
183464.843990541 1
3.4%
184175.227599743 1
3.4%
258572.019825526 1
3.4%
312355.468398 1
3.4%
441814.602870723 1
3.4%
447906.246767473 1
3.4%
448576.194577559 1
3.4%
448789.494732982 1
3.4%
449164.972451344 1
3.4%
449959.089969262 1
3.4%
ValueCountFrequency (%)
453103.179441304 1
3.4%
452154.953202965 1
3.4%
451892.989522696 1
3.4%
451818.955156339 1
3.4%
451692.39657905 1
3.4%
451596.45849391 1
3.4%
451044.098894023 1
3.4%
450797.722244176 1
3.4%
450740.541211248 1
3.4%
450721.615518231 1
3.4%

법인구분명
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
18 
법인
11 

Length

Max length4
Median length4
Mean length3.2413793
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 18
62.1%
법인 11
37.9%

Length

2024-05-11T15:17:51.595301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:17:51.780400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
62.1%
법인 11
37.9%

구분명
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
18 
무료
11 

Length

Max length4
Median length4
Mean length3.2413793
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 18
62.1%
무료 11
37.9%

Length

2024-05-11T15:17:51.962572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:17:52.214452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
62.1%
무료 11
37.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03150000200231500761120000120001114<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 개포동 141호 37통 5반 주공아파트 106 404서울특별시 강남구 선릉로 7, 106동 404호 (개포동,주공아파트)<NA>기쁜우리복지관2006-06-20 10:39:44I2018-08-31 23:59:59.0<NA>205373.37109441814.602871법인무료
13150000200231500761120000220000621<NA>3폐업40폐업20200728<NA><NA><NA>0226043917<NA><NA>서울특별시 강서구 가양동서울특별시 강서구 허준로 95-9 (가양동)157807(사)장애인기업협회2020-07-28 14:19:51U2020-07-30 02:40:00.0<NA>186837.360122451692.396579법인무료
23150000200231500761120000319970305<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 1091호 20통 2반 화곡대우그랜드월드아파트 135 602서울특별시 강서구 화곡로13길 107, 135동 602호 (화곡동,화곡대우그랜드월드아파트)<NA>강서고령자 취업알선센타2003-08-26 13:01:27I2018-08-31 23:59:59.0<NA>185034.346958449164.972451법인무료
3315000020033150076112000012003-04-17<NA>1영업/정상20영업중<NA><NA><NA><NA>02 36640322<NA><NA>서울특별시 강서구 등촌3동 661번지 4호서울특별시 강서구 화곡로61길 85 (등촌동)<NA>서울시립강서노인종합복지관2024-02-01 17:30:24U2023-12-02 00:03:00.0<NA>186456.196713450664.525831<NA><NA>
43150000200331500761120000220030807<NA>3폐업40폐업20181214<NA><NA><NA><NA><NA><NA>서울특별시 용산구 원효로3가 252번지 9호 7통 2반서울특별시 용산구 원효로31길 12-11 (원효로3가)<NA>(사)한국장애인기업협회서울시지부2018-12-14 12:56:57U2018-12-16 02:40:00.0<NA>196023.347198447906.246767법인무료
5315000020063150076112000012006-06-08<NA>5제외/삭제/전출50타시군구이관2023-05-09<NA><NA><NA>0232190575<NA><NA>서울특별시 강서구 등촌2동 533번지 2호서울특별시 강서구 공항대로58가길 8 (등촌동)<NA>전기공사취업정보센터2023-05-12 08:39:37U2022-12-04 23:04:00.0<NA>187723.985818449959.089969<NA><NA>
63150000200731501091120000220070327<NA>3폐업40폐업20181128<NA><NA><NA>000236645920<NA><NA>서울특별시 강서구 개화동 454번지 38호 17통 9반서울특별시 강서구 개화동로7길 26-11 (개화동)<NA>등촌자활후견기관 취업정보센터2018-11-28 10:30:20U2018-11-30 02:40:00.0<NA>182355.515589453103.179441법인무료
73150000200731501091120000320070328<NA>3폐업40폐업20080325<NA><NA><NA><NA><NA><NA>부산광역시 남구 대연동 1505번지 9호 5통 4반부산광역시 남구 못골번영로 41 (대연동)<NA>전기공사취업정보 부산센터2008-03-26 10:33:14I2018-08-31 23:59:59.0<NA>390300.495359184175.2276법인무료
8315000020073150109112000042007-03-28<NA>5제외/삭제/전출50타시군구이관2023-05-22<NA><NA><NA><NA><NA><NA>광주광역시 서구 농성동 660번지 12호광주광역시 서구 대남대로 451 (농성동)<NA>전기공사취업정보 광주센터2023-05-22 15:00:19U2022-12-04 22:04:00.0<NA>189573.009615183464.843991<NA><NA>
93150000200731501091120000520070328<NA>3폐업40폐업20080325<NA><NA><NA><NA><NA><NA>대전광역시 동구 가오동 496호 29통 3반 은어송마을3단지 306 1002대전광역시 동구 은어송로 117, 306동 1002호 (가오동,은어송마을3단지)<NA>전기공사취업정보 대전센터2008-03-26 10:30:32I2018-08-31 23:59:59.0<NA>241265.737568312355.468398법인무료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
19315000020173150166145000022012-07-10<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 1111-2 귀뚜라미홈시스텔서울특별시 강서구 화곡로 346, 귀뚜라미홈시스텔 2층 (화곡동)07653장애여성인력개발센터2024-02-19 15:25:19U2023-12-01 22:01:00.0<NA>186850.824018450258.958284<NA><NA>
20315000020173150166145000112017-08-09<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 양천로 564, 208호 (등촌동, 등촌동두산위브센티움)07551사단법인 한국고용진흥협회2024-01-29 19:37:39U2023-11-30 21:01:00.0<NA>187682.690357450578.892821<NA><NA>
21315000020193150201145000142019-09-25<NA>1영업/정상20영업중<NA><NA><NA><NA>02 26617878<NA><NA>서울특별시 강서구 마곡동 798-2 류마타워서울특별시 강서구 공항대로 164, 류마타워 1 806호 (마곡동)07807사단법인 미래노사상생지원협회2024-04-16 16:33:18U2023-12-03 23:08:00.0<NA>184514.388815450797.722244<NA><NA>
22315000020193150201145000182019-10-10<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동로 124-1, 4층 (방화동)07604서울강서시니어클럽2024-05-01 10:57:33U2023-12-05 00:03:00.0<NA>183338.139503452154.953203<NA><NA>
233150000202031502011450001020160729<NA>5제외/삭제/전출50타시군구이관<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 800번지 1호 문영 퀸즈파크11차서울특별시 강서구 공항대로 212, 문영 퀸즈파크11차 801, 802호 (마곡동)07806사단법인 미래고용 노사네트워크2023-01-10 15:19:35U2022-11-30 23:02:00.0<NA>184998.704481450740.541211<NA><NA>
24315000020203150201145000172020-08-19<NA>3폐업40폐업2023-08-11<NA><NA><NA>02 62955060<NA><NA><NA>서울특별시 강서구 강서로56가길 166, 경동미르웰양천향교2차 203동 (등촌동)07573강서50플러스센터2023-08-16 14:52:39U2022-12-07 23:08:00.0<NA>185994.96412451596.458494<NA><NA>
253150000202031502011450002920201201<NA>3폐업40폐업20220726<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 공항대로 212, 문영 퀸즈파크11차 611호 (마곡동)07806(사)한국동화구연지도사협회2022-07-27 10:33:32U2021-12-06 22:09:00.0<NA><NA><NA><NA><NA>
263150000202031502011450003020201210<NA>3폐업40폐업20210510<NA><NA><NA>02 69529416<NA><NA><NA>서울특별시 강서구 공항대로 168, 1213호 (마곡동)07807(사)한국생애설계협회2021-05-14 14:20:36U2021-05-16 02:40:00.0<NA><NA><NA>법인무료
27315000020213150201145000022021-01-22<NA>1영업/정상20영업중<NA><NA><NA><NA>02 26625571<NA><NA><NA>서울특별시 강서구 마곡중앙2로 15, 마곡 테크노타워2 7층 703호 (마곡동)07631(사)장애인의 벽을 허무는 사람들2024-02-26 15:04:58U2023-12-01 22:08:00.0<NA>184781.280174450666.84038<NA><NA>
28315000020233150201145000082022-11-30<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 799-16 M밸리 W TOWER III서울특별시 강서구 마곡중앙2로 11, M밸리 W TOWER III 3층 305호 (마곡동)07631인사이드아웃 사회적협동조합2024-01-23 09:41:10U2023-11-30 22:05:00.0<NA>184738.261113450672.351145<NA><NA>