Overview

Dataset statistics

Number of variables27
Number of observations52
Missing cells403
Missing cells (%)28.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory231.5 B

Variable types

Categorical8
Numeric4
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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-20199/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 52 (100.0%) missing valuesMissing
폐업일자 has 25 (48.1%) missing valuesMissing
휴업시작일자 has 52 (100.0%) missing valuesMissing
휴업종료일자 has 52 (100.0%) missing valuesMissing
재개업일자 has 52 (100.0%) missing valuesMissing
전화번호 has 6 (11.5%) missing valuesMissing
소재지면적 has 52 (100.0%) missing valuesMissing
소재지우편번호 has 34 (65.4%) missing valuesMissing
지번주소 has 6 (11.5%) missing valuesMissing
도로명주소 has 1 (1.9%) missing valuesMissing
도로명우편번호 has 15 (28.8%) missing valuesMissing
업태구분명 has 52 (100.0%) missing valuesMissing
좌표정보(X) has 2 (3.8%) missing valuesMissing
좌표정보(Y) has 2 (3.8%) 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 10:33:24.000812
Analysis finished2024-04-06 10:33:25.038385
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
3220000
52 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 52
100.0%

Length

2024-04-06T19:33:25.227830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:33:25.529438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 52
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0112259 × 1018
Minimum1.994322 × 1018
Maximum2.024322 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-06T19:33:25.901560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.994322 × 1018
5-th percentile1.996872 × 1018
Q12.008072 × 1018
median2.012322 × 1018
Q32.017322 × 1018
95-th percentile2.022322 × 1018
Maximum2.024322 × 1018
Range3.0000017 × 1016
Interquartile range (IQR)9.2500036 × 1015

Descriptive statistics

Standard deviation7.7718987 × 1015
Coefficient of variation (CV)0.0038642595
Kurtosis-0.40391977
Mean2.0112259 × 1018
Median Absolute Deviation (MAD)5 × 1015
Skewness-0.465944
Sum-6.0967196 × 1018
Variance6.040241 × 1031
MonotonicityStrictly increasing
2024-04-06T19:33:26.347027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1994322008311200001 1
 
1.9%
2012322016314500039 1
 
1.9%
2012322016314500041 1
 
1.9%
2012322016314500070 1
 
1.9%
2013322016314500004 1
 
1.9%
2013322016314500011 1
 
1.9%
2014322016314500004 1
 
1.9%
2014322016314500051 1
 
1.9%
2015322016314500003 1
 
1.9%
2015322016314500017 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1994322008311200001 1
1.9%
1996322008311200001 1
1.9%
1996322008311200002 1
1.9%
1997322008311200001 1
1.9%
1997322008311200002 1
1.9%
1999322008311200001 1
1.9%
1999322008311200002 1
1.9%
1999322008311200003 1
1.9%
2002322012714500001 1
1.9%
2003322008311200001 1
1.9%
ValueCountFrequency (%)
2024322025014500002 1
1.9%
2023322025014500061 1
1.9%
2022322025014500072 1
1.9%
2022322025014500023 1
1.9%
2022322025014500008 1
1.9%
2021322025014500003 1
1.9%
2020322023714500024 1
1.9%
2020322023714500001 1
1.9%
2018322016314500026 1
1.9%
2018322016314500022 1
1.9%

인허가일자
Date

Distinct48
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum1994-06-14 00:00:00
Maximum2024-01-18 00:00:00
2024-04-06T19:33:26.736956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:33:27.090165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
1
25 
3
25 
4
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 25
48.1%
3 25
48.1%
4 1
 
1.9%
5 1
 
1.9%

Length

2024-04-06T19:33:27.378711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:33:27.600176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 25
48.1%
3 25
48.1%
4 1
 
1.9%
5 1
 
1.9%

영업상태명
Categorical

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
영업/정상
25 
폐업
25 
취소/말소/만료/정지/중지
 
1
제외/삭제/전출
 
1

Length

Max length14
Median length8
Mean length3.7884615
Min length2

Unique

Unique2 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 25
48.1%
폐업 25
48.1%
취소/말소/만료/정지/중지 1
 
1.9%
제외/삭제/전출 1
 
1.9%

Length

2024-04-06T19:33:27.813771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:33:28.009351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 25
48.1%
폐업 25
48.1%
취소/말소/만료/정지/중지 1
 
1.9%
제외/삭제/전출 1
 
1.9%

상세영업상태코드
Categorical

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
20
25 
40
25 
70
 
1
50
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
20 25
48.1%
40 25
48.1%
70 1
 
1.9%
50 1
 
1.9%

Length

2024-04-06T19:33:28.227701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:33:28.414453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20 25
48.1%
40 25
48.1%
70 1
 
1.9%
50 1
 
1.9%

상세영업상태명
Categorical

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
영업중
25 
폐업
25 
등록취소
 
1
타시군구이관
 
1

Length

Max length6
Median length4
Mean length2.5961538
Min length2

Unique

Unique2 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 25
48.1%
폐업 25
48.1%
등록취소 1
 
1.9%
타시군구이관 1
 
1.9%

Length

2024-04-06T19:33:28.621429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:33:28.807818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 25
48.1%
폐업 25
48.1%
등록취소 1
 
1.9%
타시군구이관 1
 
1.9%

폐업일자
Date

MISSING 

Distinct26
Distinct (%)96.3%
Missing25
Missing (%)48.1%
Memory size548.0 B
Minimum2008-04-18 00:00:00
Maximum2023-10-13 00:00:00
2024-04-06T19:33:28.990953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:33:29.219964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

전화번호
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing6
Missing (%)11.5%
Memory size548.0 B
2024-04-06T19:33:29.583924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.608696
Min length9

Characters and Unicode

Total characters534
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

Unique46 ?
Unique (%)100.0%

Sample

1st row02 60005744
2nd row02 34169191
3rd row02 545 9195
4th row02 555 9777
5th row02 546 8930
ValueCountFrequency (%)
02 33
29.7%
556 2
 
1.8%
070 2
 
1.8%
547 2
 
1.8%
567 1
 
0.9%
553 1
 
0.9%
41215369 1
 
0.9%
2096 1
 
0.9%
8866 1
 
0.9%
7190 1
 
0.9%
Other values (66) 66
59.5%
2024-04-06T19:33:30.198311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
17.8%
0 88
16.5%
5 62
11.6%
2 61
11.4%
1 42
7.9%
4 40
7.5%
6 40
7.5%
3 28
 
5.2%
9 27
 
5.1%
7 27
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 439
82.2%
Space Separator 95
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 88
20.0%
5 62
14.1%
2 61
13.9%
1 42
9.6%
4 40
9.1%
6 40
9.1%
3 28
 
6.4%
9 27
 
6.2%
7 27
 
6.2%
8 24
 
5.5%
Space Separator
ValueCountFrequency (%)
95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 534
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
95
17.8%
0 88
16.5%
5 62
11.6%
2 61
11.4%
1 42
7.9%
4 40
7.5%
6 40
7.5%
3 28
 
5.2%
9 27
 
5.1%
7 27
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 534
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
17.8%
0 88
16.5%
5 62
11.6%
2 61
11.4%
1 42
7.9%
4 40
7.5%
6 40
7.5%
3 28
 
5.2%
9 27
 
5.1%
7 27
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)83.3%
Missing34
Missing (%)65.4%
Infinite0
Infinite (%)0.0%
Mean195830.78
Minimum135230
Maximum601807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-06T19:33:30.406071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135230
5-th percentile135470.55
Q1135745.75
median135906
Q3147885.5
95-th percentile517600.05
Maximum601807
Range466577
Interquartile range (IQR)12139.75

Descriptive statistics

Standard deviation137051.5
Coefficient of variation (CV)0.69984657
Kurtosis5.0217896
Mean195830.78
Median Absolute Deviation (MAD)205
Skewness2.4201597
Sum3524954
Variance1.8783113 × 1010
MonotonicityNot monotonic
2024-04-06T19:33:31.044127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
135918 2
 
3.8%
135701 2
 
3.8%
135894 2
 
3.8%
135545 1
 
1.9%
135995 1
 
1.9%
135230 1
 
1.9%
135885 1
 
1.9%
151849 1
 
1.9%
135880 1
 
1.9%
135513 1
 
1.9%
Other values (5) 5
 
9.6%
(Missing) 34
65.4%
ValueCountFrequency (%)
135230 1
1.9%
135513 1
1.9%
135545 1
1.9%
135701 2
3.8%
135880 1
1.9%
135885 1
1.9%
135894 2
3.8%
135918 2
3.8%
135933 1
1.9%
135995 1
1.9%
ValueCountFrequency (%)
601807 1
1.9%
502740 1
1.9%
302830 1
1.9%
200721 1
1.9%
151849 1
1.9%
135995 1
1.9%
135933 1
1.9%
135918 2
3.8%
135894 2
3.8%
135885 1
1.9%

지번주소
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing6
Missing (%)11.5%
Memory size548.0 B
2024-04-06T19:33:31.576069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length34
Mean length29.804348
Min length18

Characters and Unicode

Total characters1371
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

Unique46 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 삼성동 159번지 1호 트레이드타워 3층
2nd row서울특별시 강남구 역삼동 660번지 4 호
3rd row서울특별시 강남구 논현동 123번지 12호 9통 2반 현대빌라 가 401
4th row서울특별시 강남구 논현동 238번지 5호 건설기술인회관
5th row서울특별시 강남구 논현동 100번지 4호 대한어머니회관 201호
ValueCountFrequency (%)
서울특별시 42
 
14.6%
강남구 39
 
13.5%
역삼동 14
 
4.9%
논현동 8
 
2.8%
2호 6
 
2.1%
4층 6
 
2.1%
5호 3
 
1.0%
1호 3
 
1.0%
삼성동 3
 
1.0%
2층 3
 
1.0%
Other values (142) 161
55.9%
2024-04-06T19:33:32.344425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
245
 
17.9%
동 50
 
3.6%
1 49
 
3.6%
구 48
 
3.5%
서 46
 
3.4%
시 46
 
3.4%
호 45
 
3.3%
지 44
 
3.2%
강 43
 
3.1%
남 42
 
3.1%
Other values (133) 713
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 868
63.3%
Decimal Number 254
 
18.5%
Space Separator 245
 
17.9%
Dash Punctuation 3
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 50
 
5.8%
구 48
 
5.5%
서 46
 
5.3%
시 46
 
5.3%
호 45
 
5.2%
지 44
 
5.1%
강 43
 
5.0%
남 42
 
4.8%
별 42
 
4.8%
특 42
 
4.8%
Other values (120) 420
48.4%
Decimal Number
ValueCountFrequency (%)
1 49
19.3%
2 42
16.5%
0 29
11.4%
4 28
11.0%
3 25
9.8%
7 21
8.3%
6 20
7.9%
5 15
 
5.9%
8 13
 
5.1%
9 12
 
4.7%
Space Separator
ValueCountFrequency (%)
245
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 868
63.3%
Common 502
36.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 50
 
5.8%
구 48
 
5.5%
서 46
 
5.3%
시 46
 
5.3%
호 45
 
5.2%
지 44
 
5.1%
강 43
 
5.0%
남 42
 
4.8%
별 42
 
4.8%
특 42
 
4.8%
Other values (120) 420
48.4%
Common
ValueCountFrequency (%)
245
48.8%
1 49
 
9.8%
2 42
 
8.4%
0 29
 
5.8%
4 28
 
5.6%
3 25
 
5.0%
7 21
 
4.2%
6 20
 
4.0%
5 15
 
3.0%
8 13
 
2.6%
Other values (2) 15
 
3.0%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 868
63.3%
ASCII 503
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
245
48.7%
1 49
 
9.7%
2 42
 
8.3%
0 29
 
5.8%
4 28
 
5.6%
3 25
 
5.0%
7 21
 
4.2%
6 20
 
4.0%
5 15
 
3.0%
8 13
 
2.6%
Other values (3) 16
 
3.2%
Hangul
ValueCountFrequency (%)
동 50
 
5.8%
구 48
 
5.5%
서 46
 
5.3%
시 46
 
5.3%
호 45
 
5.2%
지 44
 
5.1%
강 43
 
5.0%
남 42
 
4.8%
별 42
 
4.8%
특 42
 
4.8%
Other values (120) 420
48.4%

도로명주소
Text

MISSING 

Distinct50
Distinct (%)98.0%
Missing1
Missing (%)1.9%
Memory size548.0 B
2024-04-06T19:33:32.766324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length34.039216
Min length24

Characters and Unicode

Total characters1736
Distinct characters159
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)96.1%

Sample

1st row서울특별시 강남구 영동대로 511, 3층 (삼성동, 트레이드타워)
2nd row서울특별시 강남구 논현로102길 13-3 (역삼동)
3rd row서울특별시 강남구 학동로8길 16, 가동 401호 (논현동,현대빌라)
4th row서울특별시 강남구 언주로 650 (논현동,건설기술인회관)
5th row서울특별시 강남구 언주로146길 46, 201호 (논현동, 대한어머니회관)
ValueCountFrequency (%)
서울특별시 47
 
14.5%
강남구 45
 
13.8%
역삼동 19
 
5.8%
4층 10
 
3.1%
언주로 5
 
1.5%
역삼로 5
 
1.5%
논현동 5
 
1.5%
5층 4
 
1.2%
2층 4
 
1.2%
16 4
 
1.2%
Other values (152) 177
54.5%
2024-04-06T19:33:33.441186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
274
 
15.8%
, 66
 
3.8%
동 60
 
3.5%
1 60
 
3.5%
구 56
 
3.2%
서 55
 
3.2%
남 52
 
3.0%
강 51
 
2.9%
로 51
 
2.9%
) 51
 
2.9%
Other values (149) 960
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1034
59.6%
Space Separator 274
 
15.8%
Decimal Number 256
 
14.7%
Other Punctuation 66
 
3.8%
Close Punctuation 51
 
2.9%
Open Punctuation 51
 
2.9%
Uppercase Letter 2
 
0.1%
Math Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 60
 
5.8%
구 56
 
5.4%
서 55
 
5.3%
남 52
 
5.0%
강 51
 
4.9%
로 51
 
4.9%
시 51
 
4.9%
울 47
 
4.5%
특 47
 
4.5%
별 47
 
4.5%
Other values (132) 517
50.0%
Decimal Number
ValueCountFrequency (%)
1 60
23.4%
2 37
14.5%
4 31
12.1%
0 30
11.7%
6 29
11.3%
5 20
 
7.8%
3 17
 
6.6%
7 12
 
4.7%
9 10
 
3.9%
8 10
 
3.9%
Space Separator
ValueCountFrequency (%)
274
100.0%
Other Punctuation
ValueCountFrequency (%)
, 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1034
59.6%
Common 700
40.3%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 60
 
5.8%
구 56
 
5.4%
서 55
 
5.3%
남 52
 
5.0%
강 51
 
4.9%
로 51
 
4.9%
시 51
 
4.9%
울 47
 
4.5%
특 47
 
4.5%
별 47
 
4.5%
Other values (132) 517
50.0%
Common
ValueCountFrequency (%)
274
39.1%
, 66
 
9.4%
1 60
 
8.6%
) 51
 
7.3%
( 51
 
7.3%
2 37
 
5.3%
4 31
 
4.4%
0 30
 
4.3%
6 29
 
4.1%
5 20
 
2.9%
Other values (6) 51
 
7.3%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1034
59.6%
ASCII 702
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
274
39.0%
, 66
 
9.4%
1 60
 
8.5%
) 51
 
7.3%
( 51
 
7.3%
2 37
 
5.3%
4 31
 
4.4%
0 30
 
4.3%
6 29
 
4.1%
5 20
 
2.8%
Other values (7) 53
 
7.5%
Hangul
ValueCountFrequency (%)
동 60
 
5.8%
구 56
 
5.4%
서 55
 
5.3%
남 52
 
5.0%
강 51
 
4.9%
로 51
 
4.9%
시 51
 
4.9%
울 47
 
4.5%
특 47
 
4.5%
별 47
 
4.5%
Other values (132) 517
50.0%

도로명우편번호
Text

MISSING 

Distinct34
Distinct (%)91.9%
Missing15
Missing (%)28.8%
Memory size548.0 B
2024-04-06T19:33:33.780715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.6486486
Min length5

Characters and Unicode

Total characters209
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

Unique31 ?
Unique (%)83.8%

Sample

1st row135-729
2nd row135-820
3rd row135545
4th row135-935
5th row135918
ValueCountFrequency (%)
06224 2
 
5.4%
135918 2
 
5.4%
06143 2
 
5.4%
135-729 1
 
2.7%
06211 1
 
2.7%
135921 1
 
2.7%
06121 1
 
2.7%
06253 1
 
2.7%
06251 1
 
2.7%
06271 1
 
2.7%
Other values (24) 24
64.9%
2024-04-06T19:33:34.359890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 35
16.7%
0 34
16.3%
3 25
12.0%
5 25
12.0%
6 24
11.5%
2 23
11.0%
7 12
 
5.7%
9 10
 
4.8%
4 9
 
4.3%
8 7
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 204
97.6%
Dash Punctuation 5
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 35
17.2%
0 34
16.7%
3 25
12.3%
5 25
12.3%
6 24
11.8%
2 23
11.3%
7 12
 
5.9%
9 10
 
4.9%
4 9
 
4.4%
8 7
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 209
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 35
16.7%
0 34
16.3%
3 25
12.0%
5 25
12.0%
6 24
11.5%
2 23
11.0%
7 12
 
5.7%
9 10
 
4.8%
4 9
 
4.3%
8 7
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 209
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 35
16.7%
0 34
16.3%
3 25
12.0%
5 25
12.0%
6 24
11.5%
2 23
11.0%
7 12
 
5.7%
9 10
 
4.8%
4 9
 
4.3%
8 7
 
3.3%

사업장명
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-04-06T19:33:34.761905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18.5
Mean length12.826923
Min length5

Characters and Unicode

Total characters667
Distinct characters151
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row(사)한국무역협회
2nd row(사)한국알투루사
3rd row대한건설협회
4th row한국건설기술인협회
5th row(사)대한어머니회
ValueCountFrequency (%)
공무원연금공단 5
 
6.8%
퇴직공무원지원 4
 
5.5%
사단법인 2
 
2.7%
사)한국사회서비스정책연구원 1
 
1.4%
사)한국경력개발진흥원 1
 
1.4%
사)한국에이치알서비스산업협회 1
 
1.4%
사)한국기술거래사회 1
 
1.4%
한국it비즈니스진흥협회 1
 
1.4%
서울강남시니어클럽 1
 
1.4%
사)한국무역협회 1
 
1.4%
Other values (55) 55
75.3%
2024-04-06T19:33:35.409577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 29
 
4.3%
한 28
 
4.2%
회 28
 
4.2%
지 26
 
3.9%
원 26
 
3.9%
국 23
 
3.4%
( 21
 
3.1%
) 21
 
3.1%
21
 
3.1%
단 16
 
2.4%
Other values (141) 428
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 592
88.8%
Open Punctuation 21
 
3.1%
Close Punctuation 21
 
3.1%
Space Separator 21
 
3.1%
Uppercase Letter 11
 
1.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 29
 
4.9%
한 28
 
4.7%
회 28
 
4.7%
지 26
 
4.4%
원 26
 
4.4%
국 23
 
3.9%
단 16
 
2.7%
협 15
 
2.5%
인 15
 
2.5%
공 15
 
2.5%
Other values (130) 371
62.7%
Uppercase Letter
ValueCountFrequency (%)
O 3
27.3%
I 2
18.2%
T 2
18.2%
B 1
 
9.1%
J 1
 
9.1%
D 1
 
9.1%
G 1
 
9.1%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 592
88.8%
Common 64
 
9.6%
Latin 11
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 29
 
4.9%
한 28
 
4.7%
회 28
 
4.7%
지 26
 
4.4%
원 26
 
4.4%
국 23
 
3.9%
단 16
 
2.7%
협 15
 
2.5%
인 15
 
2.5%
공 15
 
2.5%
Other values (130) 371
62.7%
Latin
ValueCountFrequency (%)
O 3
27.3%
I 2
18.2%
T 2
18.2%
B 1
 
9.1%
J 1
 
9.1%
D 1
 
9.1%
G 1
 
9.1%
Common
ValueCountFrequency (%)
( 21
32.8%
) 21
32.8%
21
32.8%
- 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 592
88.8%
ASCII 75
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 29
 
4.9%
한 28
 
4.7%
회 28
 
4.7%
지 26
 
4.4%
원 26
 
4.4%
국 23
 
3.9%
단 16
 
2.7%
협 15
 
2.5%
인 15
 
2.5%
공 15
 
2.5%
Other values (130) 371
62.7%
ASCII
ValueCountFrequency (%)
( 21
28.0%
) 21
28.0%
21
28.0%
O 3
 
4.0%
I 2
 
2.7%
T 2
 
2.7%
- 1
 
1.3%
B 1
 
1.3%
J 1
 
1.3%
D 1
 
1.3%

최종수정일자
Date

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2008-04-22 17:30:10
Maximum2024-03-26 17:20:11
2024-04-06T19:33:35.662903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:33:35.996226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
U
28 
I
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 28
53.8%
I 24
46.2%

Length

2024-04-06T19:33:36.210880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:33:36.359567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 28
53.8%
i 24
46.2%

데이터갱신일자
Date

Distinct19
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 22:08:00
2024-04-06T19:33:36.497204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:33:36.716524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)88.0%
Missing2
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean209099.97
Minimum189602.71
Maximum388054.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-06T19:33:36.962834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189602.71
5-th percentile200131.29
Q1202854.51
median203553.04
Q3204803.89
95-th percentile223573.91
Maximum388054.12
Range198451.4
Interquartile range (IQR)1949.3825

Descriptive statistics

Standard deviation27661.487
Coefficient of variation (CV)0.13228834
Kurtosis37.582444
Mean209099.97
Median Absolute Deviation (MAD)798.74415
Skewness5.9150439
Sum10454998
Variance7.6515788 × 108
MonotonicityNot monotonic
2024-04-06T19:33:37.216959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
202946.808393471 3
 
5.8%
202823.741194844 2
 
3.8%
209384.708472884 2
 
3.8%
204103.04193011 2
 
3.8%
203558.103247799 2
 
3.8%
204884.234785002 1
 
1.9%
204562.857513366 1
 
1.9%
388054.117193921 1
 
1.9%
202699.152057898 1
 
1.9%
202762.268960113 1
 
1.9%
Other values (34) 34
65.4%
(Missing) 2
 
3.8%
ValueCountFrequency (%)
189602.712426 1
1.9%
196462.120645401 1
1.9%
198506.458385404 1
1.9%
202117.188873534 1
1.9%
202142.900193042 1
1.9%
202425.73 1
1.9%
202650.144045095 1
1.9%
202699.152057898 1
1.9%
202746.040061587 1
1.9%
202746.315351194 1
1.9%
ValueCountFrequency (%)
388054.117193921 1
1.9%
263392.254101175 1
1.9%
234271.362577 1
1.9%
210499.236902105 1
1.9%
209384.708472884 2
3.8%
209110.791493694 1
1.9%
207315.645508252 1
1.9%
206566.335617862 1
1.9%
205340.631121567 1
1.9%
205291.486713089 1
1.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)88.0%
Missing2
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean432338.83
Minimum184005.82
Maximum484927.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-06T19:33:37.463761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184005.82
5-th percentile372732.53
Q1443397.86
median444578.72
Q3445327.69
95-th percentile446900.04
Maximum484927.37
Range300921.55
Interquartile range (IQR)1929.8313

Descriptive statistics

Standard deviation54640.36
Coefficient of variation (CV)0.12638319
Kurtosis16.969403
Mean432338.83
Median Absolute Deviation (MAD)1094.3804
Skewness-4.1608843
Sum21616941
Variance2.9855689 × 109
MonotonicityNot monotonic
2024-04-06T19:33:37.789281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
446125.174367897 3
 
5.8%
443484.343213235 2
 
3.8%
442767.528527681 2
 
3.8%
444558.775468448 2
 
3.8%
443869.892191114 2
 
3.8%
443859.743611627 1
 
1.9%
444890.019364558 1
 
1.9%
184024.698088642 1
 
1.9%
447239.250144505 1
 
1.9%
443356.78768548 1
 
1.9%
Other values (34) 34
65.4%
(Missing) 2
 
3.8%
ValueCountFrequency (%)
184005.817456 1
1.9%
184024.698088642 1
1.9%
316974.990262 1
1.9%
440880.634495872 1
1.9%
441809.435131601 1
1.9%
442601.789760193 1
1.9%
442767.528527681 2
3.8%
442771.616373056 1
1.9%
442915.881978231 1
1.9%
443281.216979897 1
1.9%
ValueCountFrequency (%)
484927.369287416 1
 
1.9%
447301.71571803 1
 
1.9%
447239.250144505 1
 
1.9%
446485.458615702 1
 
1.9%
446286.200031644 1
 
1.9%
446125.174367897 3
5.8%
446118.689354245 1
 
1.9%
445982.69114801 1
 
1.9%
445867.68120769 1
 
1.9%
445402.717897505 1
 
1.9%

법인구분명
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
23 
법인
23 
개인
6 

Length

Max length4
Median length2
Mean length2.8846154
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
44.2%
법인 23
44.2%
개인 6
 
11.5%

Length

2024-04-06T19:33:38.123044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:33:38.364619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
44.2%
법인 23
44.2%
개인 6
 
11.5%

구분명
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
무료
29 
<NA>
23 

Length

Max length4
Median length2
Mean length2.8846154
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 29
55.8%
<NA> 23
44.2%

Length

2024-04-06T19:33:38.672155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:33:38.848207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 29
55.8%
na 23
44.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
0322000019943220083112000011994-06-14<NA>1영업/정상20영업중<NA><NA><NA><NA>02 60005744<NA><NA>서울특별시 강남구 삼성동 159번지 1호 트레이드타워 3층서울특별시 강남구 영동대로 511, 3층 (삼성동, 트레이드타워)135-729(사)한국무역협회2023-06-30 09:11:47U2022-12-07 00:02:00.0<NA>205340.631122445354.571117<NA><NA>
13220000199632200831120000119960705<NA>3폐업40폐업20090220<NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 660번지 4 호서울특별시 강남구 논현로102길 13-3 (역삼동)<NA>(사)한국알투루사2009-02-23 09:49:22I2018-08-31 23:59:59.0<NA>203121.454444444791.816945개인무료
23220000199632200831120000219960706<NA>3폐업40폐업20080418<NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 123번지 12호 9통 2반 현대빌라 가 401서울특별시 강남구 학동로8길 16, 가동 401호 (논현동,현대빌라)<NA>대한건설협회2008-04-22 17:30:10I2018-08-31 23:59:59.0<NA>202117.188874445402.717898개인무료
3322000019973220083112000011997-10-14<NA>1영업/정상20영업중<NA><NA><NA><NA>02 34169191<NA><NA>서울특별시 강남구 논현동 238번지 5호 건설기술인회관서울특별시 강남구 언주로 650 (논현동,건설기술인회관)<NA>한국건설기술인협회2024-01-29 17:09:32U2023-11-30 21:01:00.0<NA>203107.229571445867.681208<NA><NA>
4322000019973220083112000021997-06-05<NA>3폐업40폐업2023-10-13<NA><NA><NA>02 545 9195<NA><NA>서울특별시 강남구 논현동 100번지 4호 대한어머니회관 201호서울특별시 강남구 언주로146길 46, 201호 (논현동, 대한어머니회관)135-820(사)대한어머니회2023-10-16 09:19:38U2022-10-30 23:08:00.0<NA>203331.065521446485.458616<NA><NA>
53220000199932200831120000119990415<NA>3폐업40폐업20080725<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동4가 호<NA><NA>강남고령자취업알선센타2012-08-10 13:15:56I2018-08-31 23:59:59.0<NA><NA><NA>개인무료
63220000199932200831120000219990813<NA>3폐업40폐업20080506<NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 944번지 31 호서울특별시 강남구 테헤란로 518 (대치동)<NA>대한섬유산업연합회2008-05-06 15:59:15I2018-08-31 23:59:59.0<NA>205291.486713445028.209429개인무료
73220000199932200831120000319990222<NA>3폐업40폐업20160630<NA><NA><NA>02 555 9777<NA>135545서울특별시 강남구 논현동 200번지 6호 동양빌딩 4층서울특별시 강남구 봉은사로 105, 4층 (논현동, 동양빌딩)135545(사)한국모델협회2016-06-30 11:54:56I2018-08-31 23:59:59.0<NA>202142.900193444753.675935법인무료
83220000200232201271450000120080508<NA>3폐업40폐업20120614<NA><NA><NA>02 546 8930<NA>135995서울특별시 강남구 논현동 71번지 2호 건설회관 2층서울특별시 강남구 언주로 711 (논현동,건설회관 2층)<NA>(사)대한건설단체총연합회2012-06-14 13:08:45I2018-08-31 23:59:59.0<NA>202946.808393446125.174368법인무료
93220000200332200831120000120030331<NA>3폐업40폐업20090630<NA><NA><NA>02 547 8876<NA><NA>서울특별시 서초구 방배동 1344호 35통 6반 방배1차현대아파트 107 1105서울특별시 서초구 서초대로1길 30, 107동 1105호 (방배동,방배1차현대아파트)<NA>사회복지법인자광재단2009-06-30 17:34:13I2018-08-31 23:59:59.0<NA>198506.458385442915.881978개인무료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
42322000020183220163145000222018-05-29<NA>1영업/정상20영업중<NA><NA><NA><NA>02 34407468<NA><NA>서울특별시 강남구 역삼동 747번지 2호 해성빌딩 6층호서울특별시 강남구 역삼로 165, 해성빌딩 6층 (역삼동)06247(사)한국여성벤처협회2024-03-21 14:41:32U2023-12-02 22:03:00.0<NA>203214.358582443698.278816<NA><NA>
433220000201832201631450002620180619<NA>5제외/삭제/전출50타시군구이관<NA><NA><NA><NA>02 514 9114<NA><NA>서울특별시 강남구 청담동 40번지 6호서울특별시 강남구 선릉로 716, 101호 (청담동)06065사단법인 한국강소기업협회2020-03-26 13:09:03U2021-10-30 22:09:00.0<NA>203547.969354446286.200032<NA><NA>
44322000020203220237145000012020-01-02<NA>1영업/정상20영업중<NA><NA><NA><NA>02 21848700<NA><NA><NA>서울특별시 강남구 광평로60길 22, 강남구직업재활센터 5층 (수서동)06369강남세움복지관(사회복지법인 밀알복지재단)2024-03-26 17:20:11U2023-12-02 22:08:00.0<NA>209384.708473442767.528528<NA><NA>
45322000020203220237145000242020-06-08<NA>1영업/정상20영업중<NA><NA><NA><NA>02 369 0925<NA><NA><NA>서울특별시 강남구 역삼로 221, 4층 (역삼동)06224한국여성경제인협회2024-03-26 17:11:16U2023-12-02 22:08:00.0<NA>203558.103248443869.892191<NA><NA>
46322000020213220250145000032021-01-25<NA>1영업/정상20영업중<NA><NA><NA><NA>02 499 8721<NA><NA>서울특별시 강남구 대치동 1024-3 5층서울특별시 강남구 도곡로 416, 5층 (대치동)06278(사)전국장애인부모연대-커리어플러스센터2024-03-21 17:30:40U2023-12-02 22:03:00.0<NA>204884.234785443859.743612<NA><NA>
47322000020223220250145000082022-02-04<NA>3폐업40폐업2023-03-20<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 테헤란로10길 9, 그랑프리빌딩 9층 (역삼동)06234사단법인 대한스포츠홀덤협회2023-03-30 11:18:48U2022-12-04 00:01:00.0<NA><NA><NA><NA><NA>
483220000202232202501450002320220329<NA>1영업/정상20영업중<NA><NA><NA><NA>02 62404803<NA><NA>서울특별시 강남구 삼성동 142-26서울특별시 강남구 테헤란로69길 5(삼성동)06160한국표준협회2022-06-03 14:45:53U2021-12-06 00:05:00.0<NA>204562.857513444890.019365<NA><NA>
493220000202232202501450007220120120<NA>1영업/정상20영업중20221115<NA><NA><NA>02 7966644<NA><NA>서울특별시 강남구 도곡동 909-3 한독빌딩서울특별시 강남구 남부순환로 2645, 한독빌딩 4층 A417호 (도곡동)06271(사)청년여성문화원2022-11-29 14:04:33U2021-11-02 00:01:00.0<NA>203390.902472442601.78976<NA><NA>
50322000020233220250145000612023-11-14<NA>1영업/정상20영업중<NA><NA><NA><NA>0215512454<NA><NA><NA>서울특별시 강남구 광평로56길 10, 4층 11호 (수서동)06367사랑과 섬김협회2024-03-26 17:06:21U2023-12-02 22:08:00.0<NA>209110.791494442771.616373<NA><NA>
51322000020243220250145000022024-01-18<NA>1영업/정상20영업중<NA><NA><NA><NA>025563493<NA><NA><NA>서울특별시 강남구 봉은사로50길 6, 청음회관 (역삼동)06143사회복지법인 한국청각장애인복지회2024-03-26 17:04:44U2023-12-02 22:08:00.0<NA>203675.367552445243.585909<NA><NA>