Overview

Dataset statistics

Number of variables27
Number of observations42
Missing cells339
Missing cells (%)29.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory231.1 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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-20190/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 42 (100.0%) missing valuesMissing
폐업일자 has 28 (66.7%) missing valuesMissing
휴업시작일자 has 42 (100.0%) missing valuesMissing
휴업종료일자 has 42 (100.0%) missing valuesMissing
재개업일자 has 42 (100.0%) missing valuesMissing
전화번호 has 10 (23.8%) missing valuesMissing
소재지면적 has 42 (100.0%) missing valuesMissing
소재지우편번호 has 32 (76.2%) missing valuesMissing
지번주소 has 12 (28.6%) missing valuesMissing
도로명우편번호 has 5 (11.9%) missing valuesMissing
업태구분명 has 42 (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 12:08:50.996662
Analysis finished2024-04-06 12:08:51.911260
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
3130000
42 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 42
100.0%

Length

2024-04-06T21:08:52.065141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:08:52.304277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 42
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0132416 × 1018
Minimum1.991313 × 1018
Maximum2.023313 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-06T21:08:52.626522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.991313 × 1018
5-th percentile2.002363 × 1018
Q12.008563 × 1018
median2.014313 × 1018
Q32.018813 × 1018
95-th percentile2.023313 × 1018
Maximum2.023313 × 1018
Range3.2000018 × 1016
Interquartile range (IQR)1.0250008 × 1016

Descriptive statistics

Standard deviation7.3231819 × 1015
Coefficient of variation (CV)0.0036375078
Kurtosis0.85159708
Mean2.0132416 × 1018
Median Absolute Deviation (MAD)5.5000038 × 1015
Skewness-0.74493358
Sum-7.6775737 × 1018
Variance5.3628994 × 1031
MonotonicityStrictly increasing
2024-04-06T21:08:52.887925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1991313007811200001 1
 
2.4%
2020313022314500014 1
 
2.4%
2015313018114500003 1
 
2.4%
2015313018114500007 1
 
2.4%
2015313018114500017 1
 
2.4%
2016313018114500001 1
 
2.4%
2016313018114500003 1
 
2.4%
2017313020114500001 1
 
2.4%
2017313020114500020 1
 
2.4%
2019313020114500002 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1991313007811200001 1
2.4%
1996313007811200001 1
2.4%
2002313007811200001 1
2.4%
2003313007811200001 1
2.4%
2007313012611200001 1
2.4%
2007313012611200003 1
2.4%
2007313012611200004 1
2.4%
2007313012611200005 1
2.4%
2007313012611200006 1
2.4%
2008313012614500001 1
2.4%
ValueCountFrequency (%)
2023313025714500022 1
2.4%
2023313025714500021 1
2.4%
2023313025714500020 1
2.4%
2023313025714500011 1
2.4%
2022313025714500003 1
2.4%
2022313022314500002 1
2.4%
2021313022314500010 1
2.4%
2021313022314500008 1
2.4%
2020313022314500016 1
2.4%
2020313022314500014 1
2.4%

인허가일자
Date

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum1991-05-28 00:00:00
Maximum2023-10-31 00:00:00
2024-04-06T21:08:53.175530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:08:53.495363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
1
25 
3
16 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 25
59.5%
3 16
38.1%
5 1
 
2.4%

Length

2024-04-06T21:08:53.704134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:08:53.895283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 25
59.5%
3 16
38.1%
5 1
 
2.4%

영업상태명
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
영업/정상
25 
폐업
16 
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length3.9285714
Min length2

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 25
59.5%
폐업 16
38.1%
제외/삭제/전출 1
 
2.4%

Length

2024-04-06T21:08:54.118731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:08:54.372428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 25
59.5%
폐업 16
38.1%
제외/삭제/전출 1
 
2.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
20
25 
40
16 
50
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
20 25
59.5%
40 16
38.1%
50 1
 
2.4%

Length

2024-04-06T21:08:54.573234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:08:54.753410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20 25
59.5%
40 16
38.1%
50 1
 
2.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
영업중
25 
폐업
16 
타시군구이관
 
1

Length

Max length6
Median length3
Mean length2.6904762
Min length2

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 25
59.5%
폐업 16
38.1%
타시군구이관 1
 
2.4%

Length

2024-04-06T21:08:54.989751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:08:55.205649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 25
59.5%
폐업 16
38.1%
타시군구이관 1
 
2.4%

폐업일자
Date

MISSING 

Distinct14
Distinct (%)100.0%
Missing28
Missing (%)66.7%
Memory size468.0 B
Minimum2008-01-28 00:00:00
Maximum2023-12-14 00:00:00
2024-04-06T21:08:55.394989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:08:55.600810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

전화번호
Text

MISSING 

Distinct32
Distinct (%)100.0%
Missing10
Missing (%)23.8%
Memory size468.0 B
2024-04-06T21:08:55.905048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.0625
Min length9

Characters and Unicode

Total characters354
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

Unique32 ?
Unique (%)100.0%

Sample

1st row000203331452
2nd row02 719 6307
3rd row0263600525
4th row0226334459
5th row051 555 1944
ValueCountFrequency (%)
02 15
25.9%
000203331452 1
 
1.7%
0226924549 1
 
1.7%
7184331 1
 
1.7%
336 1
 
1.7%
4499 1
 
1.7%
702 1
 
1.7%
4048 1
 
1.7%
63531898 1
 
1.7%
027786430 1
 
1.7%
Other values (34) 34
58.6%
2024-04-06T21:08:56.514454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 68
19.2%
0 59
16.7%
41
11.6%
3 40
11.3%
1 34
9.6%
4 24
 
6.8%
7 21
 
5.9%
5 20
 
5.6%
6 17
 
4.8%
9 16
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 313
88.4%
Space Separator 41
 
11.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 68
21.7%
0 59
18.8%
3 40
12.8%
1 34
10.9%
4 24
 
7.7%
7 21
 
6.7%
5 20
 
6.4%
6 17
 
5.4%
9 16
 
5.1%
8 14
 
4.5%
Space Separator
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 354
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 68
19.2%
0 59
16.7%
41
11.6%
3 40
11.3%
1 34
9.6%
4 24
 
6.8%
7 21
 
5.9%
5 20
 
5.6%
6 17
 
4.8%
9 16
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 354
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 68
19.2%
0 59
16.7%
41
11.6%
3 40
11.3%
1 34
9.6%
4 24
 
6.8%
7 21
 
5.9%
5 20
 
5.6%
6 17
 
4.8%
9 16
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

소재지우편번호
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing32
Missing (%)76.2%
Memory size468.0 B
2024-04-06T21:08:56.870933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1
Min length6

Characters and Unicode

Total characters61
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

Unique10 ?
Unique (%)100.0%

Sample

1st row121850
2nd row121-881
3rd row121805
4th row607010
5th row121835
ValueCountFrequency (%)
121850 1
10.0%
121-881 1
10.0%
121805 1
10.0%
607010 1
10.0%
121835 1
10.0%
121090 1
10.0%
403847 1
10.0%
121728 1
10.0%
121736 1
10.0%
121706 1
10.0%
2024-04-06T21:08:57.347643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 18
29.5%
2 9
14.8%
0 9
14.8%
8 7
 
11.5%
7 5
 
8.2%
5 3
 
4.9%
6 3
 
4.9%
3 3
 
4.9%
4 2
 
3.3%
- 1
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60
98.4%
Dash Punctuation 1
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 18
30.0%
2 9
15.0%
0 9
15.0%
8 7
 
11.7%
7 5
 
8.3%
5 3
 
5.0%
6 3
 
5.0%
3 3
 
5.0%
4 2
 
3.3%
9 1
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 61
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 18
29.5%
2 9
14.8%
0 9
14.8%
8 7
 
11.5%
7 5
 
8.2%
5 3
 
4.9%
6 3
 
4.9%
3 3
 
4.9%
4 2
 
3.3%
- 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 18
29.5%
2 9
14.8%
0 9
14.8%
8 7
 
11.5%
7 5
 
8.2%
5 3
 
4.9%
6 3
 
4.9%
3 3
 
4.9%
4 2
 
3.3%
- 1
 
1.6%

지번주소
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing12
Missing (%)28.6%
Memory size468.0 B
2024-04-06T21:08:57.833747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length30
Mean length26.5
Min length18

Characters and Unicode

Total characters795
Distinct characters108
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

Unique30 ?
Unique (%)100.0%

Sample

1st row서울특별시 성북구 성북동 330번지 326호 6통 5반
2nd row서울특별시 양천구 목동 933호 7통 1반 목동삼익아파트 101 401
3rd row서울특별시 마포구 도화동 37번지 B23호
4th row서울특별시 강남구 압구정동 490호 20통 3반 한양아파트 5 1105
5th row서울특별시 마포구 용강동 70번지
ValueCountFrequency (%)
서울특별시 26
 
15.8%
마포구 23
 
13.9%
상암동 3
 
1.8%
마포동 3
 
1.8%
공덕동 3
 
1.8%
350번지 2
 
1.2%
합정동 2
 
1.2%
도화동 2
 
1.2%
아현동 2
 
1.2%
3호 2
 
1.2%
Other values (95) 97
58.8%
2024-04-06T21:08:58.539689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
137
 
17.2%
동 34
 
4.3%
시 30
 
3.8%
1 30
 
3.8%
구 29
 
3.6%
서 27
 
3.4%
울 27
 
3.4%
마 27
 
3.4%
포 27
 
3.4%
특 26
 
3.3%
Other values (98) 401
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 491
61.8%
Decimal Number 158
 
19.9%
Space Separator 137
 
17.2%
Dash Punctuation 5
 
0.6%
Uppercase Letter 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 34
 
6.9%
시 30
 
6.1%
구 29
 
5.9%
서 27
 
5.5%
울 27
 
5.5%
마 27
 
5.5%
포 27
 
5.5%
특 26
 
5.3%
별 26
 
5.3%
지 24
 
4.9%
Other values (82) 214
43.6%
Decimal Number
ValueCountFrequency (%)
1 30
19.0%
3 23
14.6%
0 22
13.9%
5 20
12.7%
4 15
9.5%
7 14
8.9%
2 14
8.9%
9 10
 
6.3%
6 7
 
4.4%
8 3
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
M 1
25.0%
D 1
25.0%
C 1
25.0%
B 1
25.0%
Space Separator
ValueCountFrequency (%)
137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 491
61.8%
Common 300
37.7%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 34
 
6.9%
시 30
 
6.1%
구 29
 
5.9%
서 27
 
5.5%
울 27
 
5.5%
마 27
 
5.5%
포 27
 
5.5%
특 26
 
5.3%
별 26
 
5.3%
지 24
 
4.9%
Other values (82) 214
43.6%
Common
ValueCountFrequency (%)
137
45.7%
1 30
 
10.0%
3 23
 
7.7%
0 22
 
7.3%
5 20
 
6.7%
4 15
 
5.0%
7 14
 
4.7%
2 14
 
4.7%
9 10
 
3.3%
6 7
 
2.3%
Other values (2) 8
 
2.7%
Latin
ValueCountFrequency (%)
M 1
25.0%
D 1
25.0%
C 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 491
61.8%
ASCII 304
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
137
45.1%
1 30
 
9.9%
3 23
 
7.6%
0 22
 
7.2%
5 20
 
6.6%
4 15
 
4.9%
7 14
 
4.6%
2 14
 
4.6%
9 10
 
3.3%
6 7
 
2.3%
Other values (6) 12
 
3.9%
Hangul
ValueCountFrequency (%)
동 34
 
6.9%
시 30
 
6.1%
구 29
 
5.9%
서 27
 
5.5%
울 27
 
5.5%
마 27
 
5.5%
포 27
 
5.5%
특 26
 
5.3%
별 26
 
5.3%
지 24
 
4.9%
Other values (82) 214
43.6%

도로명주소
Text

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-06T21:08:59.020952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40.5
Mean length34.333333
Min length23

Characters and Unicode

Total characters1442
Distinct characters162
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

Unique38 ?
Unique (%)90.5%

Sample

1st row서울특별시 성북구 대사관로1길 47 (성북동)
2nd row서울특별시 양천구 신목로16길 13, 101동 401호 (목동,목동삼익아파트)
3rd row서울특별시 마포구 마포대로 44, 지하1층 B23호 (도화동, 진도빌딩)
4th row서울특별시 강남구 압구정로 321, 5동 1105호 (압구정동,한양아파트)
5th row서울특별시 마포구 토정로35길 17 (용강동)
ValueCountFrequency (%)
서울특별시 39
 
14.0%
마포구 35
 
12.6%
상암동 6
 
2.2%
공덕동 5
 
1.8%
2층 5
 
1.8%
마포대로 5
 
1.8%
월드컵북로 5
 
1.8%
3층 4
 
1.4%
합정동 4
 
1.4%
18 3
 
1.1%
Other values (137) 167
60.1%
2024-04-06T21:08:59.753273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
237
 
16.4%
1 52
 
3.6%
동 49
 
3.4%
서 47
 
3.3%
포 47
 
3.3%
, 47
 
3.3%
마 47
 
3.3%
울 43
 
3.0%
시 43
 
3.0%
구 42
 
2.9%
Other values (152) 788
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 866
60.1%
Space Separator 237
 
16.4%
Decimal Number 202
 
14.0%
Other Punctuation 47
 
3.3%
Close Punctuation 42
 
2.9%
Open Punctuation 42
 
2.9%
Uppercase Letter 5
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 49
 
5.7%
서 47
 
5.4%
포 47
 
5.4%
마 47
 
5.4%
울 43
 
5.0%
시 43
 
5.0%
구 42
 
4.8%
로 42
 
4.8%
별 41
 
4.7%
특 39
 
4.5%
Other values (132) 426
49.2%
Decimal Number
ValueCountFrequency (%)
1 52
25.7%
3 29
14.4%
2 24
11.9%
0 22
10.9%
6 15
 
7.4%
4 15
 
7.4%
7 13
 
6.4%
5 13
 
6.4%
8 10
 
5.0%
9 9
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
20.0%
C 1
20.0%
M 1
20.0%
D 1
20.0%
B 1
20.0%
Space Separator
ValueCountFrequency (%)
237
100.0%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 866
60.1%
Common 571
39.6%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 49
 
5.7%
서 47
 
5.4%
포 47
 
5.4%
마 47
 
5.4%
울 43
 
5.0%
시 43
 
5.0%
구 42
 
4.8%
로 42
 
4.8%
별 41
 
4.7%
특 39
 
4.5%
Other values (132) 426
49.2%
Common
ValueCountFrequency (%)
237
41.5%
1 52
 
9.1%
, 47
 
8.2%
) 42
 
7.4%
( 42
 
7.4%
3 29
 
5.1%
2 24
 
4.2%
0 22
 
3.9%
6 15
 
2.6%
4 15
 
2.6%
Other values (5) 46
 
8.1%
Latin
ValueCountFrequency (%)
A 1
20.0%
C 1
20.0%
M 1
20.0%
D 1
20.0%
B 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 866
60.1%
ASCII 576
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
237
41.1%
1 52
 
9.0%
, 47
 
8.2%
) 42
 
7.3%
( 42
 
7.3%
3 29
 
5.0%
2 24
 
4.2%
0 22
 
3.8%
6 15
 
2.6%
4 15
 
2.6%
Other values (10) 51
 
8.9%
Hangul
ValueCountFrequency (%)
동 49
 
5.7%
서 47
 
5.4%
포 47
 
5.4%
마 47
 
5.4%
울 43
 
5.0%
시 43
 
5.0%
구 42
 
4.8%
로 42
 
4.8%
별 41
 
4.7%
특 39
 
4.5%
Other values (132) 426
49.2%

도로명우편번호
Text

MISSING 

Distinct32
Distinct (%)86.5%
Missing5
Missing (%)11.9%
Memory size468.0 B
2024-04-06T21:09:00.086585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3513514
Min length5

Characters and Unicode

Total characters198
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

Unique28 ?
Unique (%)75.7%

Sample

1st row04174
2nd row121875
3rd row121850
4th row121-881
5th row121757
ValueCountFrequency (%)
03925 3
 
8.1%
04072 2
 
5.4%
04177 2
 
5.4%
04147 2
 
5.4%
121757 1
 
2.7%
03967 1
 
2.7%
04149 1
 
2.7%
04057 1
 
2.7%
121841 1
 
2.7%
03920 1
 
2.7%
Other values (22) 22
59.5%
2024-04-06T21:09:00.708025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40
20.2%
1 35
17.7%
4 28
14.1%
2 23
11.6%
7 21
10.6%
3 13
 
6.6%
9 13
 
6.6%
5 10
 
5.1%
8 10
 
5.1%
6 4
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 197
99.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40
20.3%
1 35
17.8%
4 28
14.2%
2 23
11.7%
7 21
10.7%
3 13
 
6.6%
9 13
 
6.6%
5 10
 
5.1%
8 10
 
5.1%
6 4
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 198
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40
20.2%
1 35
17.7%
4 28
14.1%
2 23
11.6%
7 21
10.6%
3 13
 
6.6%
9 13
 
6.6%
5 10
 
5.1%
8 10
 
5.1%
6 4
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 198
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40
20.2%
1 35
17.7%
4 28
14.1%
2 23
11.6%
7 21
10.6%
3 13
 
6.6%
9 13
 
6.6%
5 10
 
5.1%
8 10
 
5.1%
6 4
 
2.0%

사업장명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-06T21:09:01.027118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length14.404762
Min length6

Characters and Unicode

Total characters605
Distinct characters163
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

Unique42 ?
Unique (%)100.0%

Sample

1st row한국경영자 총 협회(중앙)
2nd row서울치과의사신용협동조합
3rd rowN.G.O.한국장애인경영자협회무료직업소개소
4th rowKARP인재센터
5th row서울시중부여성발전센터
ValueCountFrequency (%)
사단법인 5
 
6.9%
사 4
 
5.6%
한국근로청소년능력개발원 1
 
1.4%
무료직업소개사업소 1
 
1.4%
사)한국비서사무협회 1
 
1.4%
사)한국인공지능협회 1
 
1.4%
한국요양보호사중앙회 1
 
1.4%
사)한국사회서비스인력 1
 
1.4%
직업훈련협회 1
 
1.4%
사)강원도도민회 1
 
1.4%
Other values (55) 55
76.4%
2024-04-06T21:09:01.703756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
5.0%
사 28
 
4.6%
( 22
 
3.6%
인 22
 
3.6%
) 22
 
3.6%
회 21
 
3.5%
한 20
 
3.3%
국 20
 
3.3%
업 15
 
2.5%
협 13
 
2.1%
Other values (153) 392
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 516
85.3%
Space Separator 30
 
5.0%
Open Punctuation 22
 
3.6%
Close Punctuation 22
 
3.6%
Uppercase Letter 10
 
1.7%
Other Punctuation 3
 
0.5%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 28
 
5.4%
인 22
 
4.3%
회 21
 
4.1%
한 20
 
3.9%
국 20
 
3.9%
업 15
 
2.9%
협 13
 
2.5%
소 12
 
2.3%
지 10
 
1.9%
재 10
 
1.9%
Other values (138) 345
66.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
20.0%
B 1
10.0%
S 1
10.0%
P 1
10.0%
R 1
10.0%
K 1
10.0%
O 1
10.0%
G 1
10.0%
N 1
10.0%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 516
85.3%
Common 79
 
13.1%
Latin 10
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 28
 
5.4%
인 22
 
4.3%
회 21
 
4.1%
한 20
 
3.9%
국 20
 
3.9%
업 15
 
2.9%
협 13
 
2.5%
소 12
 
2.3%
지 10
 
1.9%
재 10
 
1.9%
Other values (138) 345
66.9%
Latin
ValueCountFrequency (%)
A 2
20.0%
B 1
10.0%
S 1
10.0%
P 1
10.0%
R 1
10.0%
K 1
10.0%
O 1
10.0%
G 1
10.0%
N 1
10.0%
Common
ValueCountFrequency (%)
30
38.0%
( 22
27.8%
) 22
27.8%
. 3
 
3.8%
5 1
 
1.3%
0 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 516
85.3%
ASCII 89
 
14.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
33.7%
( 22
24.7%
) 22
24.7%
. 3
 
3.4%
A 2
 
2.2%
B 1
 
1.1%
S 1
 
1.1%
5 1
 
1.1%
0 1
 
1.1%
P 1
 
1.1%
Other values (5) 5
 
5.6%
Hangul
ValueCountFrequency (%)
사 28
 
5.4%
인 22
 
4.3%
회 21
 
4.1%
한 20
 
3.9%
국 20
 
3.9%
업 15
 
2.9%
협 13
 
2.5%
소 12
 
2.3%
지 10
 
1.9%
재 10
 
1.9%
Other values (138) 345
66.9%

최종수정일자
Date

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2004-09-20 10:29:51
Maximum2024-04-04 17:09:01
2024-04-06T21:09:01.954701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:09:02.192828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
U
24 
I
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 24
57.1%
I 18
42.9%

Length

2024-04-06T21:09:02.454398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:09:02.641353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 24
57.1%
i 18
42.9%

데이터갱신일자
Date

Distinct28
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T21:09:02.808016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:09:02.988706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

좌표정보(X)
Real number (ℝ)

Distinct37
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198547.64
Minimum172768.59
Maximum389555.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-06T21:09:03.215075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum172768.59
5-th percentile189860.38
Q1192339.51
median194173.2
Q3195444.99
95-th percentile203133.26
Maximum389555.74
Range216787.15
Interquartile range (IQR)3105.4863

Descriptive statistics

Standard deviation30737.907
Coefficient of variation (CV)0.15481376
Kurtosis38.892247
Mean198547.64
Median Absolute Deviation (MAD)1576.6059
Skewness6.130904
Sum8339000.7
Variance9.4481892 × 108
MonotonicityNot monotonic
2024-04-06T21:09:03.472069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
195509.580070948 3
 
7.1%
192679.588689978 2
 
4.8%
194974.587674037 2
 
4.8%
190182.067334395 2
 
4.8%
198825.9037021 1
 
2.4%
193584.240469724 1
 
2.4%
196057.949965838 1
 
2.4%
196089.306778496 1
 
2.4%
192787.969209921 1
 
2.4%
192613.37618588 1
 
2.4%
Other values (27) 27
64.3%
ValueCountFrequency (%)
172768.586595721 1
2.4%
189021.797866206 1
2.4%
189855.433985731 1
2.4%
189954.316212248 1
2.4%
190182.067334395 2
4.8%
190204.923593825 1
2.4%
190312.037649 1
2.4%
191197.357926149 1
2.4%
191603.132207735 1
2.4%
192299.467441333 1
2.4%
ValueCountFrequency (%)
389555.736796411 1
 
2.4%
219001.823582367 1
 
2.4%
203359.966747433 1
 
2.4%
198825.9037021 1
 
2.4%
196089.306778496 1
 
2.4%
196057.949965838 1
 
2.4%
195775.018463291 1
 
2.4%
195766.588069694 1
 
2.4%
195509.580070948 3
7.1%
195251.230426904 1
 
2.4%

좌표정보(Y)
Real number (ℝ)

Distinct37
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443796.1
Minimum191743.33
Maximum455059.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-06T21:09:03.731662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191743.33
5-th percentile446781.75
Q1448894.93
median449536.91
Q3450879.25
95-th percentile453323.67
Maximum455059.16
Range263315.83
Interquartile range (IQR)1984.3247

Descriptive statistics

Standard deviation39905.165
Coefficient of variation (CV)0.089917789
Kurtosis41.711122
Mean443796.1
Median Absolute Deviation (MAD)926.97998
Skewness-6.4482305
Sum18639436
Variance1.5924222 × 109
MonotonicityNot monotonic
2024-04-06T21:09:04.018789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
449388.269219974 3
 
7.1%
449489.124168404 2
 
4.8%
448229.063825491 2
 
4.8%
453141.676626027 2
 
4.8%
455059.15617195 1
 
2.4%
450092.389929624 1
 
2.4%
449897.213071289 1
 
2.4%
449857.423324988 1
 
2.4%
450488.716303301 1
 
2.4%
451420.332979171 1
 
2.4%
Other values (27) 27
64.3%
ValueCountFrequency (%)
191743.331010515 1
2.4%
441116.625193949 1
2.4%
446740.576354849 1
2.4%
447564.062487156 1
2.4%
448229.063825491 2
4.8%
448407.752664604 1
2.4%
448554.538966716 1
2.4%
448634.756333949 1
2.4%
448780.26877488 1
2.4%
448849.20598456 1
2.4%
ValueCountFrequency (%)
455059.15617195 1
2.4%
453614.583448105 1
2.4%
453326.849506 1
2.4%
453263.335891345 1
2.4%
453141.676626027 2
4.8%
452434.679034834 1
2.4%
451420.332979171 1
2.4%
451340.139244336 1
2.4%
451074.895878092 1
2.4%
450912.140489863 1
2.4%

법인구분명
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
22 
법인
18 
개인
 
2

Length

Max length4
Median length4
Mean length3.047619
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
52.4%
법인 18
42.9%
개인 2
 
4.8%

Length

2024-04-06T21:09:04.265583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:09:04.494232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
52.4%
법인 18
42.9%
개인 2
 
4.8%

구분명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
22 
무료
20 

Length

Max length4
Median length4
Mean length3.047619
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
52.4%
무료 20
47.6%

Length

2024-04-06T21:09:04.710703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:09:04.942611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
52.4%
무료 20
47.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03130000199131300781120000119910528<NA>3폐업40폐업20080128<NA><NA><NA><NA><NA><NA>서울특별시 성북구 성북동 330번지 326호 6통 5반서울특별시 성북구 대사관로1길 47 (성북동)<NA>한국경영자 총 협회(중앙)2014-08-05 09:42:58I2018-08-31 23:59:59.0<NA>198825.903702455059.156172법인무료
13130000199631300781120000119960331<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 933호 7통 1반 목동삼익아파트 101 401서울특별시 양천구 신목로16길 13, 101동 401호 (목동,목동삼익아파트)<NA>서울치과의사신용협동조합2004-09-20 10:29:51I2018-08-31 23:59:59.0<NA>189021.797866446740.576355법인무료
23130000200231300781120000120020903<NA>1영업/정상20영업중<NA><NA><NA><NA>000203331452<NA><NA>서울특별시 마포구 도화동 37번지 B23호서울특별시 마포구 마포대로 44, 지하1층 B23호 (도화동, 진도빌딩)04174N.G.O.한국장애인경영자협회무료직업소개소2019-10-29 09:41:51U2019-10-31 02:40:00.0<NA>195251.230427448634.756334법인무료
33130000200331300781120000120030122<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 압구정동 490호 20통 3반 한양아파트 5 1105서울특별시 강남구 압구정로 321, 5동 1105호 (압구정동,한양아파트)<NA>KARP인재센터2004-11-10 11:19:47I2018-08-31 23:59:59.0<NA>203359.966747447564.062487개인무료
43130000200731301261120000120070316<NA>1영업/정상20영업중<NA><NA><NA><NA>02 719 6307<NA><NA>서울특별시 마포구 용강동 70번지서울특별시 마포구 토정로35길 17 (용강동)121875서울시중부여성발전센터2022-06-29 13:57:36U2021-12-07 00:02:00.0<NA>195048.147008449032.100627<NA><NA>
53130000200731301261120000320070410<NA>3폐업40폐업20080715<NA><NA><NA><NA><NA>121850서울특별시 마포구 성산2동 595번지서울특별시 마포구 월드컵로 215, 3층 (성산동, 이대성산종합사회복지관 )121850이대성산무료 취업알선센터2012-01-17 15:45:44I2018-08-31 23:59:59.0<NA>191197.357926451340.139244개인무료
6313000020073130126112000042007-04-24<NA>1영업/정상20영업중<NA><NA><NA><NA>0263600525<NA>121-881서울특별시 마포구 140번지 마포노인종합복지관 2층서울특별시 마포구 서강로 68, 2층 (창전동, 마포노인종합복지관 )121-881시립마포노인종합복지관(고령자 취업알선사업)2024-03-14 16:45:42U2023-12-02 23:06:00.0<NA>193939.52772449631.276534<NA><NA>
73130000200731301261120000520070525<NA>3폐업40폐업20140718<NA><NA><NA>0226334459<NA>121805서울특별시 마포구 공덕동 370번지 4호서울특별시 마포구 백범로31길 21 (공덕동)121757(사)노정회2014-07-18 10:24:39I2018-08-31 23:59:59.0<NA>195509.580071449388.26922법인무료
83130000200731301261120000620070529<NA>3폐업40폐업20150227<NA><NA><NA>051 555 1944<NA>607010부산광역시 동래구 명륜동 596번지 3호부산광역시 동래구 충렬대로237번길 139 (명륜동)<NA>(사) 노정회 부산지회2015-02-27 17:19:34I2018-08-31 23:59:59.0<NA>389555.736796191743.331011법인무료
9313000020083130126145000012008-01-22<NA>1영업/정상20영업중<NA><NA><NA><NA>02 761 1800<NA><NA>서울특별시 마포구 성산동 231-15서울특별시 마포구 월드컵북로 75, 3층 (성산동)03967(사)여성이 만드는 일과 미래2023-12-04 17:38:11U2022-11-02 00:06:00.0<NA>192493.306979450912.14049<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
323130000202031302231450001420200713<NA>1영업/정상20영업중<NA><NA><NA><NA>02 5541448<NA><NA><NA>서울특별시 마포구 월드컵북로58길 10, 팬엔터테인먼트 사옥 11층 (상암동)03923(사)한국드라마제작사협회2020-07-13 13:02:36I2020-07-15 00:23:16.0<NA>189954.316212453263.335891법인무료
33313000020203130223145000162020-08-24<NA>1영업/정상20영업중<NA><NA><NA><NA>024605274<NA><NA><NA>서울특별시 마포구 백범로31길 21, 서울창업허브, 서울복지타운 3층 (공덕동)04147재단법인 서울특별시 50 플러스재단2023-12-26 15:44:27U2022-11-01 22:08:00.0<NA>195509.580071449388.26922<NA><NA>
34313000020213130223145000082021-04-14<NA>1영업/정상20영업중<NA><NA><NA><NA>02 32767621<NA><NA><NA>서울특별시 마포구 큰우물로 75, 성지빌딩 17층 (도화동)04158사단법인 한국에프피에스비2023-12-04 15:03:32U2022-11-02 00:06:00.0<NA>195184.3359448780.268775<NA><NA>
35313000020213130223145000102011-02-24<NA>1영업/정상20영업중<NA><NA><NA><NA>0231537963<NA><NA>서울특별시 마포구 상암동 1580 DMC첨단산업센터서울특별시 마포구 성암로 330, DMC첨단산업센터 A동 202호 (상암동)03920(재)한경협중소기업협력센터2023-12-06 16:30:49U2022-11-02 00:08:00.0<NA>189855.433986453614.583448<NA><NA>
363130000202231302231450000220220411<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 월드컵북로6길 60, 덕산빌딩 302호 (동교동)03993아시아희망캠프기구2022-04-11 15:58:30I2021-12-03 23:03:00.0<NA>193008.428323450780.596007<NA><NA>
373130000202231302571450000320221114<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 신촌로 66, 농협중앙회 11층 (노고산동)04057사단법인 농협동인회2022-11-14 10:00:37I2021-10-31 23:06:00.0<NA>194020.023177450426.583344<NA><NA>
38313000020233130257145000112023-06-09<NA>1영업/정상20영업중<NA><NA><NA><NA>0232801138<NA><NA><NA>서울특별시 마포구 백범로 130, 5층 (염리동)04149(사)국민재난안전총연합회2023-06-09 13:43:24I2022-12-05 23:01:00.0<NA>195080.452995449320.304599<NA><NA>
39313000020233130257145000202023-10-24<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 독막로8길 6, 2층 (합정동)04072상생일자리국민운동본부 중구지부2023-10-24 10:55:30I2022-10-30 22:06:00.0<NA>192679.58869449489.124168<NA><NA>
40313000020233130257145000212023-10-24<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 백범로31길 21, 창업허브 별관 2층 228호 (공덕동)04147(사)한국인공지능협회2023-10-24 13:20:44I2022-10-30 22:06:00.0<NA>195509.580071449388.26922<NA><NA>
41313000020233130257145000222023-10-31<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 독막로8길 6, 2층 (합정동)04072한국장애인일자리개발원2023-10-31 15:56:42I2022-11-01 00:02:00.0<NA>192679.58869449489.124168<NA><NA>