Overview

Dataset statistics

Number of variables27
Number of observations74
Missing cells612
Missing cells (%)30.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.6 KiB
Average record size in memory229.8 B

Variable types

Categorical8
Numeric3
DateTime4
Unsupported6
Text6

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
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-20195/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 74 (100.0%) missing valuesMissing
폐업일자 has 55 (74.3%) missing valuesMissing
휴업시작일자 has 74 (100.0%) missing valuesMissing
휴업종료일자 has 74 (100.0%) missing valuesMissing
재개업일자 has 74 (100.0%) missing valuesMissing
전화번호 has 19 (25.7%) missing valuesMissing
소재지면적 has 74 (100.0%) missing valuesMissing
소재지우편번호 has 56 (75.7%) missing valuesMissing
지번주소 has 15 (20.3%) missing valuesMissing
도로명우편번호 has 23 (31.1%) missing valuesMissing
업태구분명 has 74 (100.0%) missing valuesMissing
관리번호 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 started2024-04-06 13:09:14.093550
Analysis finished2024-04-06 13:09:14.816409
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
3180000
74 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 74
100.0%

Length

2024-04-06T22:09:14.976296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:09:15.170476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 74
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0128586 × 1018
Minimum1.999318 × 1018
Maximum2.024318 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-06T22:09:15.398203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.999318 × 1018
5-th percentile2.001968 × 1018
Q12.008318 × 1018
median2.014318 × 1018
Q32.017318 × 1018
95-th percentile2.021668 × 1018
Maximum2.024318 × 1018
Range2.5000018 × 1016
Interquartile range (IQR)9.0000076 × 1015

Descriptive statistics

Standard deviation6.0118409 × 1015
Coefficient of variation (CV)0.002986718
Kurtosis-0.57526014
Mean2.0128586 × 1018
Median Absolute Deviation (MAD)5.0000053 × 1015
Skewness-0.28472689
Sum1.3775807 × 1018
Variance3.6142231 × 1031
MonotonicityStrictly increasing
2024-04-06T22:09:15.667725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1999318007611200001 1
 
1.4%
2018318019714500003 1
 
1.4%
2017318019714500039 1
 
1.4%
2016318019714500030 1
 
1.4%
2016318019714500018 1
 
1.4%
2016318019714500007 1
 
1.4%
2015318019714500045 1
 
1.4%
2015318019714500041 1
 
1.4%
2015318019714500036 1
 
1.4%
2015318019714500035 1
 
1.4%
Other values (64) 64
86.5%
ValueCountFrequency (%)
1999318007611200001 1
1.4%
1999318012014500005 1
1.4%
2001318007611200001 1
1.4%
2001318012111200001 1
1.4%
2002318007611200001 1
1.4%
2002318007611200002 1
1.4%
2005318007611200001 1
1.4%
2005318007611200002 1
1.4%
2006318007611200001 1
1.4%
2006318007611200002 1
1.4%
ValueCountFrequency (%)
2024318025614500001 1
1.4%
2022318023914500043 1
1.4%
2022318023914500034 1
1.4%
2022318023914500021 1
1.4%
2021318023914500008 1
1.4%
2021318023914500001 1
1.4%
2020318023914500040 1
1.4%
2020318023914500022 1
1.4%
2020318023914500019 1
1.4%
2020318023914500018 1
1.4%

인허가일자
Date

Distinct73
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size724.0 B
Minimum1999-07-29 00:00:00
Maximum2024-01-17 00:00:00
2024-04-06T22:09:15.923069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:09:16.550820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
1
51 
3
21 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 51
68.9%
3 21
28.4%
5 2
 
2.7%

Length

2024-04-06T22:09:16.718250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:09:16.889822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 51
68.9%
3 21
28.4%
5 2
 
2.7%

영업상태명
Categorical

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
영업/정상
51 
폐업
21 
제외/삭제/전출
 
2

Length

Max length8
Median length5
Mean length4.2297297
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 51
68.9%
폐업 21
28.4%
제외/삭제/전출 2
 
2.7%

Length

2024-04-06T22:09:17.107739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:09:17.305886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 51
68.9%
폐업 21
28.4%
제외/삭제/전출 2
 
2.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
20
51 
40
21 
50
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
20 51
68.9%
40 21
28.4%
50 2
 
2.7%

Length

2024-04-06T22:09:17.518636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:09:17.699647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20 51
68.9%
40 21
28.4%
50 2
 
2.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
영업중
51 
폐업
21 
타시군구이관
 
2

Length

Max length6
Median length3
Mean length2.7972973
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 51
68.9%
폐업 21
28.4%
타시군구이관 2
 
2.7%

Length

2024-04-06T22:09:17.931094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:09:18.191836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 51
68.9%
폐업 21
28.4%
타시군구이관 2
 
2.7%

폐업일자
Date

MISSING 

Distinct19
Distinct (%)100.0%
Missing55
Missing (%)74.3%
Memory size724.0 B
Minimum2009-06-19 00:00:00
Maximum2023-05-26 00:00:00
2024-04-06T22:09:18.382891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:09:18.555944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

전화번호
Text

MISSING 

Distinct55
Distinct (%)100.0%
Missing19
Missing (%)25.7%
Memory size724.0 B
2024-04-06T22:09:18.893721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.072727
Min length7

Characters and Unicode

Total characters609
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

Unique55 ?
Unique (%)100.0%

Sample

1st row0226320065
2nd row000221666030
3rd row8489196
4th row02 20691600
5th row3682313
ValueCountFrequency (%)
02 24
26.4%
784 2
 
2.2%
5925023 2
 
2.2%
070 2
 
2.2%
000324296622 1
 
1.1%
32749246 1
 
1.1%
63329051 1
 
1.1%
07078133535 1
 
1.1%
36757179 1
 
1.1%
42132224 1
 
1.1%
Other values (55) 55
60.4%
2024-04-06T22:09:19.456522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 126
20.7%
2 102
16.7%
58
9.5%
3 52
8.5%
5 49
 
8.0%
6 48
 
7.9%
7 45
 
7.4%
8 39
 
6.4%
4 37
 
6.1%
1 30
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 551
90.5%
Space Separator 58
 
9.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 126
22.9%
2 102
18.5%
3 52
9.4%
5 49
 
8.9%
6 48
 
8.7%
7 45
 
8.2%
8 39
 
7.1%
4 37
 
6.7%
1 30
 
5.4%
9 23
 
4.2%
Space Separator
ValueCountFrequency (%)
58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 609
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 126
20.7%
2 102
16.7%
58
9.5%
3 52
8.5%
5 49
 
8.0%
6 48
 
7.9%
7 45
 
7.4%
8 39
 
6.4%
4 37
 
6.1%
1 30
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 609
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 126
20.7%
2 102
16.7%
58
9.5%
3 52
8.5%
5 49
 
8.0%
6 48
 
7.9%
7 45
 
7.4%
8 39
 
6.4%
4 37
 
6.1%
1 30
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

소재지우편번호
Text

MISSING 

Distinct15
Distinct (%)83.3%
Missing56
Missing (%)75.7%
Memory size724.0 B
2024-04-06T22:09:19.740521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1666667
Min length6

Characters and Unicode

Total characters111
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

Unique12 ?
Unique (%)66.7%

Sample

1st row465032
2nd row150103
3rd row150033
4th row150-814
5th row150709
ValueCountFrequency (%)
150033 2
 
11.1%
132849 2
 
11.1%
150010 2
 
11.1%
465032 1
 
5.6%
150103 1
 
5.6%
150-814 1
 
5.6%
150709 1
 
5.6%
150070 1
 
5.6%
150072 1
 
5.6%
150872 1
 
5.6%
Other values (5) 5
27.8%
2024-04-06T22:09:20.220836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28
25.2%
1 21
18.9%
5 17
15.3%
3 11
 
9.9%
8 7
 
6.3%
2 6
 
5.4%
7 6
 
5.4%
9 5
 
4.5%
4 4
 
3.6%
6 3
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 108
97.3%
Dash Punctuation 3
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
25.9%
1 21
19.4%
5 17
15.7%
3 11
 
10.2%
8 7
 
6.5%
2 6
 
5.6%
7 6
 
5.6%
9 5
 
4.6%
4 4
 
3.7%
6 3
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 111
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 28
25.2%
1 21
18.9%
5 17
15.3%
3 11
 
9.9%
8 7
 
6.3%
2 6
 
5.4%
7 6
 
5.4%
9 5
 
4.5%
4 4
 
3.6%
6 3
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 111
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28
25.2%
1 21
18.9%
5 17
15.3%
3 11
 
9.9%
8 7
 
6.3%
2 6
 
5.4%
7 6
 
5.4%
9 5
 
4.5%
4 4
 
3.6%
6 3
 
2.7%

지번주소
Text

MISSING 

Distinct57
Distinct (%)96.6%
Missing15
Missing (%)20.3%
Memory size724.0 B
2024-04-06T22:09:20.594977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length30.610169
Min length20

Characters and Unicode

Total characters1806
Distinct characters143
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

Unique55 ?
Unique (%)93.2%

Sample

1st row경기도 하남시 신장동 526번지 형제503
2nd row서울특별시 영등포구 양평동3가 36번지
3rd row서울특별시 송파구 잠실동 86호 16통 3반 아시아선수촌아파트 4 905
4th row경기도 성남시분당구 구미동 285호 47통 4반 우방도무스빌라 101
5th row서울특별시 영등포구 여의도동 45번지 2호
ValueCountFrequency (%)
서울특별시 53
 
14.5%
영등포구 48
 
13.2%
여의도동 25
 
6.8%
17번지 7
 
1.9%
이룸센터 7
 
1.9%
13호 7
 
1.9%
당산동6가 7
 
1.9%
4호 5
 
1.4%
1호 4
 
1.1%
경기도 4
 
1.1%
Other values (164) 198
54.2%
2024-04-06T22:09:21.203478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
316
 
17.5%
1 74
 
4.1%
시 62
 
3.4%
동 60
 
3.3%
호 59
 
3.3%
서 57
 
3.2%
구 57
 
3.2%
등 55
 
3.0%
포 55
 
3.0%
영 54
 
3.0%
Other values (133) 957
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1135
62.8%
Decimal Number 340
 
18.8%
Space Separator 316
 
17.5%
Dash Punctuation 12
 
0.7%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 62
 
5.5%
동 60
 
5.3%
호 59
 
5.2%
서 57
 
5.0%
구 57
 
5.0%
등 55
 
4.8%
포 55
 
4.8%
영 54
 
4.8%
울 53
 
4.7%
특 53
 
4.7%
Other values (118) 570
50.2%
Decimal Number
ValueCountFrequency (%)
1 74
21.8%
3 51
15.0%
2 40
11.8%
4 39
11.5%
5 31
9.1%
0 31
9.1%
6 27
 
7.9%
7 22
 
6.5%
8 14
 
4.1%
9 11
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
T 1
33.3%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
316
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1135
62.8%
Common 668
37.0%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 62
 
5.5%
동 60
 
5.3%
호 59
 
5.2%
서 57
 
5.0%
구 57
 
5.0%
등 55
 
4.8%
포 55
 
4.8%
영 54
 
4.8%
울 53
 
4.7%
특 53
 
4.7%
Other values (118) 570
50.2%
Common
ValueCountFrequency (%)
316
47.3%
1 74
 
11.1%
3 51
 
7.6%
2 40
 
6.0%
4 39
 
5.8%
5 31
 
4.6%
0 31
 
4.6%
6 27
 
4.0%
7 22
 
3.3%
8 14
 
2.1%
Other values (2) 23
 
3.4%
Latin
ValueCountFrequency (%)
B 1
33.3%
T 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1135
62.8%
ASCII 671
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
316
47.1%
1 74
 
11.0%
3 51
 
7.6%
2 40
 
6.0%
4 39
 
5.8%
5 31
 
4.6%
0 31
 
4.6%
6 27
 
4.0%
7 22
 
3.3%
8 14
 
2.1%
Other values (5) 26
 
3.9%
Hangul
ValueCountFrequency (%)
시 62
 
5.5%
동 60
 
5.3%
호 59
 
5.2%
서 57
 
5.0%
구 57
 
5.0%
등 55
 
4.8%
포 55
 
4.8%
영 54
 
4.8%
울 53
 
4.7%
특 53
 
4.7%
Other values (118) 570
50.2%

도로명주소
Text

Distinct71
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-04-06T22:09:21.683632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length35.608108
Min length13

Characters and Unicode

Total characters2635
Distinct characters179
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

Unique68 ?
Unique (%)91.9%

Sample

1st row경기도 하남시 대청로22번길 9-18 (신장동,형제503)
2nd row서울특별시 영등포구 선유서로34길 10 (양평동3가)
3rd row서울특별시 송파구 올림픽로4길 15, 4동 905호 (잠실동,아시아선수촌아파트)
4th row경기도 성남시 분당구 구미로173번길 22, 101호 (구미동,우방도무스빌라)
5th row서울특별시 영등포구 의사당대로 143 (여의도동)
ValueCountFrequency (%)
서울특별시 67
 
14.0%
영등포구 61
 
12.8%
여의도동 26
 
5.4%
의사당대로 12
 
2.5%
22 10
 
2.1%
2층 8
 
1.7%
이룸센터 7
 
1.5%
당산동6가 6
 
1.3%
3층 5
 
1.0%
대림동 5
 
1.0%
Other values (214) 271
56.7%
2024-04-06T22:09:22.398001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
406
 
15.4%
영 81
 
3.1%
동 80
 
3.0%
, 77
 
2.9%
포 77
 
2.9%
시 77
 
2.9%
등 75
 
2.8%
( 73
 
2.8%
구 73
 
2.8%
로 73
 
2.8%
Other values (169) 1543
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1612
61.2%
Space Separator 406
 
15.4%
Decimal Number 377
 
14.3%
Other Punctuation 80
 
3.0%
Open Punctuation 73
 
2.8%
Close Punctuation 73
 
2.8%
Dash Punctuation 7
 
0.3%
Uppercase Letter 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 81
 
5.0%
동 80
 
5.0%
포 77
 
4.8%
시 77
 
4.8%
등 75
 
4.7%
구 73
 
4.5%
로 73
 
4.5%
서 72
 
4.5%
별 67
 
4.2%
울 67
 
4.2%
Other values (148) 870
54.0%
Decimal Number
ValueCountFrequency (%)
2 68
18.0%
1 57
15.1%
3 52
13.8%
0 40
10.6%
6 37
9.8%
4 35
9.3%
7 24
 
6.4%
5 23
 
6.1%
8 23
 
6.1%
9 18
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
M 2
28.6%
C 2
28.6%
B 1
14.3%
K 1
14.3%
T 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 77
96.2%
. 3
 
3.8%
Space Separator
ValueCountFrequency (%)
406
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1612
61.2%
Common 1016
38.6%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 81
 
5.0%
동 80
 
5.0%
포 77
 
4.8%
시 77
 
4.8%
등 75
 
4.7%
구 73
 
4.5%
로 73
 
4.5%
서 72
 
4.5%
별 67
 
4.2%
울 67
 
4.2%
Other values (148) 870
54.0%
Common
ValueCountFrequency (%)
406
40.0%
, 77
 
7.6%
( 73
 
7.2%
) 73
 
7.2%
2 68
 
6.7%
1 57
 
5.6%
3 52
 
5.1%
0 40
 
3.9%
6 37
 
3.6%
4 35
 
3.4%
Other values (6) 98
 
9.6%
Latin
ValueCountFrequency (%)
M 2
28.6%
C 2
28.6%
B 1
14.3%
K 1
14.3%
T 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1612
61.2%
ASCII 1023
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
406
39.7%
, 77
 
7.5%
( 73
 
7.1%
) 73
 
7.1%
2 68
 
6.6%
1 57
 
5.6%
3 52
 
5.1%
0 40
 
3.9%
6 37
 
3.6%
4 35
 
3.4%
Other values (11) 105
 
10.3%
Hangul
ValueCountFrequency (%)
영 81
 
5.0%
동 80
 
5.0%
포 77
 
4.8%
시 77
 
4.8%
등 75
 
4.7%
구 73
 
4.5%
로 73
 
4.5%
서 72
 
4.5%
별 67
 
4.2%
울 67
 
4.2%
Other values (148) 870
54.0%

도로명우편번호
Text

MISSING 

Distinct37
Distinct (%)72.5%
Missing23
Missing (%)31.1%
Memory size724.0 B
2024-04-06T22:09:22.632047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3529412
Min length5

Characters and Unicode

Total characters273
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

Unique30 ?
Unique (%)58.8%

Sample

1st row150033
2nd row07238
3rd row150032
4th row07236
5th row07236
ValueCountFrequency (%)
07236 6
 
11.8%
07222 5
 
9.8%
07299 2
 
3.9%
07228 2
 
3.9%
07331 2
 
3.9%
07241 2
 
3.9%
07238 2
 
3.9%
07332 1
 
2.0%
07367 1
 
2.0%
07333 1
 
2.0%
Other values (27) 27
52.9%
2024-04-06T22:09:23.147683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 60
22.0%
2 46
16.8%
7 41
15.0%
3 34
12.5%
1 21
 
7.7%
5 19
 
7.0%
8 16
 
5.9%
6 13
 
4.8%
9 11
 
4.0%
4 9
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
98.9%
Dash Punctuation 3
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60
22.2%
2 46
17.0%
7 41
15.2%
3 34
12.6%
1 21
 
7.8%
5 19
 
7.0%
8 16
 
5.9%
6 13
 
4.8%
9 11
 
4.1%
4 9
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 273
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 60
22.0%
2 46
16.8%
7 41
15.0%
3 34
12.5%
1 21
 
7.7%
5 19
 
7.0%
8 16
 
5.9%
6 13
 
4.8%
9 11
 
4.0%
4 9
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 273
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 60
22.0%
2 46
16.8%
7 41
15.0%
3 34
12.5%
1 21
 
7.7%
5 19
 
7.0%
8 16
 
5.9%
6 13
 
4.8%
9 11
 
4.0%
4 9
 
3.3%

사업장명
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-04-06T22:09:23.503888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18.5
Mean length13.364865
Min length5

Characters and Unicode

Total characters989
Distinct characters173
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

Unique74 ?
Unique (%)100.0%

Sample

1st row전국건설노동자무료취업알선센터하남지부
2nd row영등포고령자취업알선센터
3rd row중소기업중앙회무료직업소개소
4th row(사)노정회 무료직업소개소
5th row한국금융투자협회무료직업소개
ValueCountFrequency (%)
사단법인 8
 
8.5%
무료직업소개소 3
 
3.2%
서울지부 2
 
2.1%
사)한국장애인고용안정협회 2
 
2.1%
전국건설노동자무료취업알선센터하남지부 1
 
1.1%
인천지회 1
 
1.1%
사)지능정보산업기술협회 1
 
1.1%
한국사회교육원 1
 
1.1%
재)한국산업교육원 1
 
1.1%
전국덕트기능인협회 1
 
1.1%
Other values (73) 73
77.7%
2024-04-06T22:09:24.089078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 50
 
5.1%
국 47
 
4.8%
회 44
 
4.4%
업 39
 
3.9%
) 37
 
3.7%
한 36
 
3.6%
( 33
 
3.3%
인 32
 
3.2%
협 32
 
3.2%
소 28
 
2.8%
Other values (163) 611
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 896
90.6%
Close Punctuation 37
 
3.7%
Open Punctuation 33
 
3.3%
Space Separator 20
 
2.0%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 50
 
5.6%
국 47
 
5.2%
회 44
 
4.9%
업 39
 
4.4%
한 36
 
4.0%
인 32
 
3.6%
협 32
 
3.6%
소 28
 
3.1%
지 25
 
2.8%
무 17
 
1.9%
Other values (157) 546
60.9%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
R 1
33.3%
H 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 896
90.6%
Common 90
 
9.1%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 50
 
5.6%
국 47
 
5.2%
회 44
 
4.9%
업 39
 
4.4%
한 36
 
4.0%
인 32
 
3.6%
협 32
 
3.6%
소 28
 
3.1%
지 25
 
2.8%
무 17
 
1.9%
Other values (157) 546
60.9%
Common
ValueCountFrequency (%)
) 37
41.1%
( 33
36.7%
20
22.2%
Latin
ValueCountFrequency (%)
D 1
33.3%
R 1
33.3%
H 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 896
90.6%
ASCII 93
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 50
 
5.6%
국 47
 
5.2%
회 44
 
4.9%
업 39
 
4.4%
한 36
 
4.0%
인 32
 
3.6%
협 32
 
3.6%
소 28
 
3.1%
지 25
 
2.8%
무 17
 
1.9%
Other values (157) 546
60.9%
ASCII
ValueCountFrequency (%)
) 37
39.8%
( 33
35.5%
20
21.5%
D 1
 
1.1%
R 1
 
1.1%
H 1
 
1.1%

최종수정일자
Date

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
Minimum2004-05-06 12:55:01
Maximum2024-02-27 13:20:10
2024-04-06T22:09:24.313686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:09:24.522889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size724.0 B
U
44 
I
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 44
59.5%
I 30
40.5%

Length

2024-04-06T22:09:24.723997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:09:24.903062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 44
59.5%
i 30
40.5%

데이터갱신일자
Date

Distinct39
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Memory size724.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 23:05:00
2024-04-06T22:09:25.079859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:09:25.293260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing74
Missing (%)100.0%
Memory size798.0 B

좌표정보(X)
Real number (ℝ)

Distinct61
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193954.12
Minimum172808.41
Maximum242268.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-06T22:09:25.536964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum172808.41
5-th percentile190147.33
Q1191242.4
median192671.75
Q3193433
95-th percentile208221.13
Maximum242268.15
Range69459.741
Interquartile range (IQR)2190.5981

Descriptive statistics

Standard deviation8343.5755
Coefficient of variation (CV)0.043018294
Kurtosis16.432797
Mean193954.12
Median Absolute Deviation (MAD)1054.5687
Skewness3.1469027
Sum14352605
Variance69615253
MonotonicityNot monotonic
2024-04-06T22:09:25.804280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192671.748495509 9
 
12.2%
191536.037141169 2
 
2.7%
193057.414953819 2
 
2.7%
203554.863112547 2
 
2.7%
193500.284361195 2
 
2.7%
191158.577882619 2
 
2.7%
192914.348287387 1
 
1.4%
191124.518123708 1
 
1.4%
190998.394353858 1
 
1.4%
193861.272368256 1
 
1.4%
Other values (51) 51
68.9%
ValueCountFrequency (%)
172808.413537787 1
1.4%
177788.660258396 1
1.4%
185538.330304037 1
1.4%
189979.778774713 1
1.4%
190237.551918715 1
1.4%
190321.762458271 1
1.4%
190365.697039 1
1.4%
190754.150480559 1
1.4%
190968.870784784 1
1.4%
190996.357288859 1
1.4%
ValueCountFrequency (%)
242268.154737 1
1.4%
219024.805229119 1
1.4%
212265.61360306 1
1.4%
211032.921697774 1
1.4%
206707.093888179 1
1.4%
204808.530277112 1
1.4%
203554.863112547 2
2.7%
193861.272368256 1
1.4%
193847.088620039 1
1.4%
193818.18014 1
1.4%

좌표정보(Y)
Real number (ℝ)

Distinct61
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean442689.59
Minimum280732.67
Maximum462195.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-04-06T22:09:26.066550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum280732.67
5-th percentile429820.94
Q1446215.6
median446751.27
Q3447285.59
95-th percentile448390.65
Maximum462195.08
Range181462.41
Interquartile range (IQR)1069.9949

Descriptive statistics

Standard deviation22690.11
Coefficient of variation (CV)0.051255125
Kurtosis39.836474
Mean442689.59
Median Absolute Deviation (MAD)546.62868
Skewness-6.1004601
Sum32759030
Variance5.1484111 × 108
MonotonicityNot monotonic
2024-04-06T22:09:26.295162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447184.898323642 9
 
12.2%
447172.053366478 2
 
2.7%
447529.082521039 2
 
2.7%
462195.079384745 2
 
2.7%
446443.965496834 2
 
2.7%
443557.228223702 2
 
2.7%
445754.48271304 1
 
1.4%
448186.682008095 1
 
1.4%
443603.26278376 1
 
1.4%
446387.375846863 1
 
1.4%
Other values (51) 51
68.9%
ValueCountFrequency (%)
280732.665329 1
1.4%
348940.699364 1
1.4%
426442.487109774 1
1.4%
427011.203518003 1
1.4%
431333.872806001 1
1.4%
438779.604919128 1
1.4%
443035.744665571 1
1.4%
443408.005468083 1
1.4%
443557.228223702 2
2.7%
443603.26278376 1
1.4%
ValueCountFrequency (%)
462195.079384745 2
2.7%
448831.621208428 1
1.4%
448669.636512892 1
1.4%
448240.423071092 1
1.4%
448189.193273766 1
1.4%
448186.682008095 1
1.4%
448172.671461648 1
1.4%
448149.66990632 1
1.4%
448117.288207849 1
1.4%
448087.70754129 1
1.4%

법인구분명
Categorical

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size724.0 B
법인
53 
<NA>
19 
개인
 
2

Length

Max length4
Median length2
Mean length2.5135135
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
법인 53
71.6%
<NA> 19
 
25.7%
개인 2
 
2.7%

Length

2024-04-06T22:09:26.502275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:09:26.684025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 53
71.6%
na 19
 
25.7%
개인 2
 
2.7%

구분명
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size724.0 B
무료
56 
<NA>
18 

Length

Max length4
Median length2
Mean length2.4864865
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 56
75.7%
<NA> 18
 
24.3%

Length

2024-04-06T22:09:26.938488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:09:27.147821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 56
75.7%
na 18
 
24.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03180000199931800761120000119990729<NA>3폐업40폐업20090619<NA><NA><NA><NA><NA>465032경기도 하남시 신장동 526번지 형제503경기도 하남시 대청로22번길 9-18 (신장동,형제503)<NA>전국건설노동자무료취업알선센터하남지부2009-06-19 14:56:53I2018-08-31 23:59:59.0<NA>219024.805229448669.636513법인무료
13180000199931801201450000520100223<NA>3폐업40폐업20131231<NA><NA><NA>0226320065<NA>150103서울특별시 영등포구 양평동3가 36번지서울특별시 영등포구 선유서로34길 10 (양평동3가)<NA>영등포고령자취업알선센터2014-01-14 11:21:05I2018-08-31 23:59:59.0<NA>189979.778775447187.580725법인무료
23180000200131800761120000120010601<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 86호 16통 3반 아시아선수촌아파트 4 905서울특별시 송파구 올림픽로4길 15, 4동 905호 (잠실동,아시아선수촌아파트)<NA>중소기업중앙회무료직업소개소2020-04-01 14:57:43U2020-04-03 02:40:00.0<NA>206707.093888445094.453604법인무료
33180000200131801211120000120011127<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 성남시분당구 구미동 285호 47통 4반 우방도무스빌라 101경기도 성남시 분당구 구미로173번길 22, 101호 (구미동,우방도무스빌라)<NA>(사)노정회 무료직업소개소2007-04-05 10:35:14I2018-08-31 23:59:59.0<NA>211032.921698427011.203518법인무료
43180000200231800761120000120021023<NA>3폐업40폐업20120827<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 45번지 2호서울특별시 영등포구 의사당대로 143 (여의도동)<NA>한국금융투자협회무료직업소개2012-08-28 10:57:07I2018-08-31 23:59:59.0<NA>193532.847603446316.283253법인무료
53180000200231800761120000220020121<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>경기도 시흥시 정왕동 1415번지 7호경기도 시흥시 정왕대로337번안길 7-2 (정왕동)<NA>전국건설노동자무료튀업센터2004-05-06 12:55:01I2018-08-31 23:59:59.0<NA>177788.660258426442.48711법인무료
63180000200531800761120000120050810<NA>1영업/정상20영업중<NA><NA><NA><NA>000221666030<NA>150033서울특별시 영등포구 영등포동3가 7번지서울특별시 영등포구 영중로 28, 205호 (영등포동3가, 아자빌딩)150033전국예능인노동조합무료직업소개소2018-02-09 16:57:38I2018-08-31 23:59:59.0<NA>191580.646389446320.71834법인무료
73180000200531800761120000220051212<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 61번지 2호 10통 7반 현대빌라 102서울특별시 강남구 영동대로129길 36, 102호 (삼성동,현대빌라)<NA>(사)한국장애인협회무료직업소개소2007-03-29 14:25:52I2018-08-31 23:59:59.0<NA>204808.530277446182.443492법인무료
8318000020063180076112000012006-01-05<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA>150-814서울특별시 영등포구 대림3동 700번지 4호서울특별시 영등포구 대림로 146 (대림동)<NA>(사)전국건설기능훈련취업지원센터2023-03-14 10:08:59U2022-12-02 23:06:00.0<NA>191158.577883443557.228224<NA><NA>
93180000200631800761120000220060303<NA>3폐업40폐업20130624<NA><NA><NA>8489196<NA><NA>서울특별시 강서구 화곡동 1048번지 45호 3통 8반서울특별시 강서구 화곡로23길 3 (화곡동)<NA>전국건설노동자무료취업알선센터 서울지부2013-06-24 14:40:43I2018-08-31 23:59:59.0<NA>185538.330304448831.621208법인무료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
643180000202031802391450001820200712<NA>1영업/정상20영업중<NA><NA><NA><NA>070 52260002<NA><NA>서울특별시 영등포구 당산동6가 332-3 더빌 301호서울특별시 영등포구 양평로12길 10-8, 더빌 301호 (당산동6가)07222(사)한국미디어융합산업협회2021-11-15 17:39:48U2021-11-17 02:40:00.0<NA>191213.487479448087.707541법인무료
653180000202031802391450001920200720<NA>1영업/정상20영업중<NA><NA><NA><NA>02 20683007<NA><NA>서울특별시 영등포구 당산동6가 349-11서울특별시 영등포구 양평로12가길 8(당산동6가)07222한국메이커스협동조합2021-11-15 17:38:41U2021-11-17 02:40:00.0<NA>191114.160557448240.423071법인무료
663180000202031802391450002220061211<NA>1영업/정상20영업중<NA><NA><NA><NA>02 34508804<NA><NA>서울특별시 영등포구 당산동6가 283 뷰티플타워서울특별시 영등포구 당산로 246, 뷰티플타워 9층 (당산동6가)07223(사)국민일복운동본부2020-08-24 14:32:22U2020-08-26 02:40:00.0<NA>191396.643773448117.288208법인무료
673180000202031802391450004020170905<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 23-6 오투타워 4층 105호서울특별시 영등포구 의사당대로 83, 오투타워 4층 105호 (여의도동)07325(사)한국핀테크산업협회2021-11-16 09:35:14U2021-11-18 02:40:00.0<NA>193165.490137446797.341447법인무료
683180000202131802391450000120210129<NA>3폐업40폐업20210430<NA><NA><NA>000262772341<NA><NA><NA>서울특별시 영등포구 국제금융로6길 26, 한국노총 609호 (여의도동)07328전국시니어노동조합2021-04-30 11:12:44U2021-05-02 02:40:00.0<NA>193474.240829446636.663615법인무료
693180000202131802391450000820210430<NA>1영업/정상20영업중<NA><NA><NA><NA>024455444<NA><NA><NA>서울특별시 영등포구 의사당대로 22, 이룸센터 306호 (여의도동)07236사단법인 한국자폐인사랑협회2021-04-30 11:14:10I2021-05-02 00:22:57.0<NA>192671.748496447184.898324법인무료
70318000020223180239145000212022-06-17<NA>3폐업40폐업2023-05-26<NA><NA><NA>02 37860669<NA><NA><NA>서울특별시 영등포구 여의공원로 101, C.C.M.M빌딩 8층 (여의도동)07241사단법인 한국경영공학회2023-06-02 14:27:30U2022-12-06 00:05:00.0<NA>193293.251953447448.342915<NA><NA>
713180000202231802391450003420220922<NA>1영업/정상20영업중<NA><NA><NA><NA>02 8337005<NA><NA><NA>서울특별시 영등포구 영중로 119, 리마크빌 영등포 109호 (영등포동8가)07228영등포시니어클럽2022-09-22 13:50:42I2021-12-08 22:04:00.0<NA>191536.037141447172.053366<NA><NA>
723180000202231802391450004320220510<NA>1영업/정상20영업중20221028<NA><NA><NA>02 835 5412<NA><NA>서울특별시 영등포구 대림동 989-10 동화빌딩서울특별시 영등포구 대림로 76, 동화빌딩 2층 7호 (대림동)07442한국의료복지 사회적협동조합연합회2022-11-09 15:05:52U2021-10-31 23:01:00.0<NA>191598.306254443035.744666<NA><NA>
73318000020243180256145000012024-01-17<NA>1영업/정상20영업중<NA><NA><NA><NA>0269253678<NA><NA><NA>서울특별시 영등포구 국회대로76길 33, 중앙보훈회관 601호 (여의도동)07241사단법인 한국사회적기업중앙협의회2024-01-17 14:07:17I2023-11-30 23:09:00.0<NA>193224.517898447474.871772<NA><NA>