Overview

Dataset statistics

Number of variables27
Number of observations61
Missing cells537
Missing cells (%)32.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.7 KiB
Average record size in memory230.2 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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-20179/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 61 (100.0%) missing valuesMissing
폐업일자 has 41 (67.2%) missing valuesMissing
휴업시작일자 has 61 (100.0%) missing valuesMissing
휴업종료일자 has 61 (100.0%) missing valuesMissing
재개업일자 has 61 (100.0%) missing valuesMissing
전화번호 has 21 (34.4%) missing valuesMissing
소재지면적 has 61 (100.0%) missing valuesMissing
소재지우편번호 has 53 (86.9%) missing valuesMissing
지번주소 has 15 (24.6%) missing valuesMissing
도로명주소 has 6 (9.8%) missing valuesMissing
도로명우편번호 has 15 (24.6%) missing valuesMissing
업태구분명 has 61 (100.0%) missing valuesMissing
좌표정보(X) has 10 (16.4%) missing valuesMissing
좌표정보(Y) has 10 (16.4%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 08:03:45.149025
Analysis finished2024-05-11 08:03:46.354198
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
3020000
61 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 61
100.0%

Length

2024-05-11T08:03:46.604273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:03:47.125462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 61
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.00922 × 1018
Minimum1.999302 × 1018
Maximum2.022302 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-11T08:03:47.800600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.999302 × 1018
5-th percentile1.999302 × 1018
Q12.006302 × 1018
median2.008302 × 1018
Q32.015302 × 1018
95-th percentile2.020302 × 1018
Maximum2.022302 × 1018
Range2.3000008 × 1016
Interquartile range (IQR)9.0000076 × 1015

Descriptive statistics

Standard deviation6.6965073 × 1015
Coefficient of variation (CV)0.003332889
Kurtosis-0.97242144
Mean2.00922 × 1018
Median Absolute Deviation (MAD)6.0000029 × 1015
Skewness0.076242124
Sum-6.5647859 × 1018
Variance4.484321 × 1031
MonotonicityStrictly increasing
2024-05-11T08:03:48.361918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1999302007411200001 1
 
1.6%
2015302015014500008 1
 
1.6%
2009302009514500005 1
 
1.6%
2010302012414500008 1
 
1.6%
2010302012414500009 1
 
1.6%
2011302012414500004 1
 
1.6%
2011302012414500005 1
 
1.6%
2012302012414500001 1
 
1.6%
2013302012414500011 1
 
1.6%
2013302012414500012 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
1999302007411200001 1
1.6%
1999302007411200002 1
1.6%
1999302007411200003 1
1.6%
1999302007411200004 1
1.6%
1999302007411200005 1
1.6%
1999302007411200006 1
1.6%
1999302007411200007 1
1.6%
1999302007411200008 1
1.6%
1999302007411200009 1
1.6%
2000302007411200001 1
1.6%
ValueCountFrequency (%)
2022302015014500004 1
1.6%
2022302015014500002 1
1.6%
2021302015014500005 1
1.6%
2020302015014500008 1
1.6%
2017302015014500006 1
1.6%
2017302015014500004 1
1.6%
2017302015014500003 1
1.6%
2017302015014500001 1
1.6%
2016302015014500006 1
1.6%
2016302015014500003 1
1.6%

인허가일자
Date

Distinct44
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum1999-05-18 00:00:00
Maximum2022-05-30 00:00:00
2024-05-11T08:03:48.970976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:03:49.410593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
1
34 
3
23 
5
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row5
4th row1
5th row3

Common Values

ValueCountFrequency (%)
1 34
55.7%
3 23
37.7%
5 4
 
6.6%

Length

2024-05-11T08:03:49.826015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:03:50.163093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 34
55.7%
3 23
37.7%
5 4
 
6.6%

영업상태명
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
영업/정상
34 
폐업
23 
제외/삭제/전출
4 

Length

Max length8
Median length5
Mean length4.0655738
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 34
55.7%
폐업 23
37.7%
제외/삭제/전출 4
 
6.6%

Length

2024-05-11T08:03:50.520045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:03:50.866678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 34
55.7%
폐업 23
37.7%
제외/삭제/전출 4
 
6.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
20
34 
40
23 
50
4 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row40
2nd row20
3rd row50
4th row20
5th row40

Common Values

ValueCountFrequency (%)
20 34
55.7%
40 23
37.7%
50 4
 
6.6%

Length

2024-05-11T08:03:51.215404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:03:51.544464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20 34
55.7%
40 23
37.7%
50 4
 
6.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
영업중
34 
폐업
23 
타시군구이관
4 

Length

Max length6
Median length3
Mean length2.8196721
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 34
55.7%
폐업 23
37.7%
타시군구이관 4
 
6.6%

Length

2024-05-11T08:03:52.042314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:03:52.529459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 34
55.7%
폐업 23
37.7%
타시군구이관 4
 
6.6%

폐업일자
Date

MISSING 

Distinct18
Distinct (%)90.0%
Missing41
Missing (%)67.2%
Memory size620.0 B
Minimum2007-12-20 00:00:00
Maximum2023-07-26 00:00:00
2024-05-11T08:03:52.919560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:03:53.335777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

전화번호
Text

MISSING 

Distinct39
Distinct (%)97.5%
Missing21
Missing (%)34.4%
Memory size620.0 B
2024-05-11T08:03:53.873732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.45
Min length7

Characters and Unicode

Total characters418
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

Unique38 ?
Unique (%)95.0%

Sample

1st row02 715 2850
2nd row027130374
3rd row0626547374
4th row0432769884
5th row0534720080
ValueCountFrequency (%)
02 6
 
11.8%
007077467942 2
 
3.9%
000222387338 1
 
2.0%
903 1
 
2.0%
9747 1
 
2.0%
0319146065 1
 
2.0%
020022450030 1
 
2.0%
00419368519 1
 
2.0%
7071970 1
 
2.0%
0549333243 1
 
2.0%
Other values (35) 35
68.6%
2024-05-11T08:03:55.160275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 92
22.0%
2 57
13.6%
7 41
9.8%
3 41
9.8%
4 38
9.1%
6 33
 
7.9%
1 27
 
6.5%
5 27
 
6.5%
8 24
 
5.7%
9 20
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
95.7%
Space Separator 18
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 92
23.0%
2 57
14.2%
7 41
10.2%
3 41
10.2%
4 38
9.5%
6 33
 
8.2%
1 27
 
6.8%
5 27
 
6.8%
8 24
 
6.0%
9 20
 
5.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 418
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 92
22.0%
2 57
13.6%
7 41
9.8%
3 41
9.8%
4 38
9.1%
6 33
 
7.9%
1 27
 
6.5%
5 27
 
6.5%
8 24
 
5.7%
9 20
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 418
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 92
22.0%
2 57
13.6%
7 41
9.8%
3 41
9.8%
4 38
9.1%
6 33
 
7.9%
1 27
 
6.5%
5 27
 
6.5%
8 24
 
5.7%
9 20
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

소재지우편번호
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing53
Missing (%)86.9%
Memory size620.0 B
2024-05-11T08:03:56.170798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.25
Min length6

Characters and Unicode

Total characters50
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

Unique8 ?
Unique (%)100.0%

Sample

1st row140-875
2nd row140-821
3rd row140846
4th row140090
5th row150103
ValueCountFrequency (%)
140-875 1
12.5%
140-821 1
12.5%
140846 1
12.5%
140090 1
12.5%
150103 1
12.5%
140170 1
12.5%
140821 1
12.5%
412221 1
12.5%
2024-05-11T08:03:57.250654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 13
26.0%
0 11
22.0%
4 8
16.0%
2 5
 
10.0%
8 4
 
8.0%
- 2
 
4.0%
7 2
 
4.0%
5 2
 
4.0%
6 1
 
2.0%
9 1
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48
96.0%
Dash Punctuation 2
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 13
27.1%
0 11
22.9%
4 8
16.7%
2 5
 
10.4%
8 4
 
8.3%
7 2
 
4.2%
5 2
 
4.2%
6 1
 
2.1%
9 1
 
2.1%
3 1
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 13
26.0%
0 11
22.0%
4 8
16.0%
2 5
 
10.0%
8 4
 
8.0%
- 2
 
4.0%
7 2
 
4.0%
5 2
 
4.0%
6 1
 
2.0%
9 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 13
26.0%
0 11
22.0%
4 8
16.0%
2 5
 
10.0%
8 4
 
8.0%
- 2
 
4.0%
7 2
 
4.0%
5 2
 
4.0%
6 1
 
2.0%
9 1
 
2.0%

지번주소
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing15
Missing (%)24.6%
Memory size620.0 B
2024-05-11T08:03:57.986433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length28.347826
Min length16

Characters and Unicode

Total characters1304
Distinct characters148
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

Unique46 ?
Unique (%)100.0%

Sample

1st row서울특별시 노원구 중계동 513호 무지개아파트 202 1014
2nd row서울특별시 용산구 효창동 255 (사)대한노인회 중앙회
3rd row서울특별시 용산구 한강로2가 218번지
4th row서울특별시 용산구 효창동 255번지
5th row인천광역시 중구 송학동1가 8번지 3호 16통 1반
ValueCountFrequency (%)
서울특별시 26
 
9.2%
용산구 17
 
6.0%
1호 5
 
1.8%
동자동 4
 
1.4%
1반 4
 
1.4%
노원구 4
 
1.4%
4반 3
 
1.1%
2호 3
 
1.1%
효창동 3
 
1.1%
충청북도 3
 
1.1%
Other values (187) 210
74.5%
2024-05-11T08:03:59.215244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
250
 
19.2%
1 62
 
4.8%
동 48
 
3.7%
시 46
 
3.5%
구 44
 
3.4%
지 36
 
2.8%
호 35
 
2.7%
번 33
 
2.5%
4 33
 
2.5%
0 32
 
2.5%
Other values (138) 685
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 774
59.4%
Decimal Number 273
 
20.9%
Space Separator 250
 
19.2%
Dash Punctuation 4
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 48
 
6.2%
시 46
 
5.9%
구 44
 
5.7%
지 36
 
4.7%
호 35
 
4.5%
번 33
 
4.3%
서 29
 
3.7%
별 29
 
3.7%
특 28
 
3.6%
울 27
 
3.5%
Other values (123) 419
54.1%
Decimal Number
ValueCountFrequency (%)
1 62
22.7%
4 33
12.1%
0 32
11.7%
2 32
11.7%
5 28
10.3%
3 27
9.9%
8 24
 
8.8%
7 17
 
6.2%
6 15
 
5.5%
9 3
 
1.1%
Space Separator
ValueCountFrequency (%)
250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 774
59.4%
Common 529
40.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 48
 
6.2%
시 46
 
5.9%
구 44
 
5.7%
지 36
 
4.7%
호 35
 
4.5%
번 33
 
4.3%
서 29
 
3.7%
별 29
 
3.7%
특 28
 
3.6%
울 27
 
3.5%
Other values (123) 419
54.1%
Common
ValueCountFrequency (%)
250
47.3%
1 62
 
11.7%
4 33
 
6.2%
0 32
 
6.0%
2 32
 
6.0%
5 28
 
5.3%
3 27
 
5.1%
8 24
 
4.5%
7 17
 
3.2%
6 15
 
2.8%
Other values (4) 9
 
1.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 774
59.4%
ASCII 530
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
250
47.2%
1 62
 
11.7%
4 33
 
6.2%
0 32
 
6.0%
2 32
 
6.0%
5 28
 
5.3%
3 27
 
5.1%
8 24
 
4.5%
7 17
 
3.2%
6 15
 
2.8%
Other values (5) 10
 
1.9%
Hangul
ValueCountFrequency (%)
동 48
 
6.2%
시 46
 
5.9%
구 44
 
5.7%
지 36
 
4.7%
호 35
 
4.5%
번 33
 
4.3%
서 29
 
3.7%
별 29
 
3.7%
특 28
 
3.6%
울 27
 
3.5%
Other values (123) 419
54.1%

도로명주소
Text

MISSING 

Distinct53
Distinct (%)96.4%
Missing6
Missing (%)9.8%
Memory size620.0 B
2024-05-11T08:03:59.924964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length30.6
Min length20

Characters and Unicode

Total characters1683
Distinct characters178
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

Unique52 ?
Unique (%)94.5%

Sample

1st row서울특별시 노원구 동일로208길 19, 202동 1014호 (중계동,무지개아파트)
2nd row서울특별시 용산구 임정로 54, (사)대한노인회 취업지원센터 (효창동)
3rd row서울특별시 용산구 한강대로 72 (한강로2가)
4th row서울특별시 용산구 임정로 54 (효창동)
5th row광주광역시 남구 제중로 92 (서동)
ValueCountFrequency (%)
서울특별시 33
 
10.4%
용산구 22
 
7.0%
효창동 7
 
2.2%
임정로 5
 
1.6%
54 4
 
1.3%
한강대로 4
 
1.3%
충청남도 4
 
1.3%
11 3
 
0.9%
2층 3
 
0.9%
10 3
 
0.9%
Other values (212) 228
72.2%
2024-05-11T08:04:01.158525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
261
 
15.5%
시 58
 
3.4%
동 56
 
3.3%
로 56
 
3.3%
( 55
 
3.3%
) 55
 
3.3%
구 53
 
3.1%
1 51
 
3.0%
서 50
 
3.0%
별 38
 
2.3%
Other values (168) 950
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1032
61.3%
Space Separator 261
 
15.5%
Decimal Number 236
 
14.0%
Open Punctuation 55
 
3.3%
Close Punctuation 55
 
3.3%
Other Punctuation 32
 
1.9%
Dash Punctuation 11
 
0.7%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 58
 
5.6%
동 56
 
5.4%
로 56
 
5.4%
구 53
 
5.1%
서 50
 
4.8%
별 38
 
3.7%
특 37
 
3.6%
울 36
 
3.5%
길 32
 
3.1%
산 32
 
3.1%
Other values (151) 584
56.6%
Decimal Number
ValueCountFrequency (%)
1 51
21.6%
3 36
15.3%
2 34
14.4%
4 23
9.7%
5 21
8.9%
0 19
 
8.1%
9 18
 
7.6%
6 12
 
5.1%
8 12
 
5.1%
7 10
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 31
96.9%
@ 1
 
3.1%
Space Separator
ValueCountFrequency (%)
261
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1032
61.3%
Common 650
38.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 58
 
5.6%
동 56
 
5.4%
로 56
 
5.4%
구 53
 
5.1%
서 50
 
4.8%
별 38
 
3.7%
특 37
 
3.6%
울 36
 
3.5%
길 32
 
3.1%
산 32
 
3.1%
Other values (151) 584
56.6%
Common
ValueCountFrequency (%)
261
40.2%
( 55
 
8.5%
) 55
 
8.5%
1 51
 
7.8%
3 36
 
5.5%
2 34
 
5.2%
, 31
 
4.8%
4 23
 
3.5%
5 21
 
3.2%
0 19
 
2.9%
Other values (6) 64
 
9.8%
Latin
ValueCountFrequency (%)
L 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1032
61.3%
ASCII 651
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
261
40.1%
( 55
 
8.4%
) 55
 
8.4%
1 51
 
7.8%
3 36
 
5.5%
2 34
 
5.2%
, 31
 
4.8%
4 23
 
3.5%
5 21
 
3.2%
0 19
 
2.9%
Other values (7) 65
 
10.0%
Hangul
ValueCountFrequency (%)
시 58
 
5.6%
동 56
 
5.4%
로 56
 
5.4%
구 53
 
5.1%
서 50
 
4.8%
별 38
 
3.7%
특 37
 
3.6%
울 36
 
3.5%
길 32
 
3.1%
산 32
 
3.1%
Other values (151) 584
56.6%

도로명우편번호
Text

MISSING 

Distinct41
Distinct (%)89.1%
Missing15
Missing (%)24.6%
Memory size620.0 B
2024-05-11T08:04:01.644972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.826087
Min length5

Characters and Unicode

Total characters268
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

Unique37 ?
Unique (%)80.4%

Sample

1st row04311
2nd row140-875
3rd row140-120
4th row61638
5th row361-829
ValueCountFrequency (%)
04311 3
 
6.5%
04379 2
 
4.3%
140-821 2
 
4.3%
140897 2
 
4.3%
355-936 1
 
2.2%
27153 1
 
2.2%
04314 1
 
2.2%
140210 1
 
2.2%
04353 1
 
2.2%
412825 1
 
2.2%
Other values (31) 31
67.4%
2024-05-11T08:04:02.940096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 48
17.9%
4 39
14.6%
1 39
14.6%
3 29
10.8%
2 22
8.2%
8 20
7.5%
5 16
 
6.0%
9 15
 
5.6%
6 15
 
5.6%
- 13
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 255
95.1%
Dash Punctuation 13
 
4.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 48
18.8%
4 39
15.3%
1 39
15.3%
3 29
11.4%
2 22
8.6%
8 20
7.8%
5 16
 
6.3%
9 15
 
5.9%
6 15
 
5.9%
7 12
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 268
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 48
17.9%
4 39
14.6%
1 39
14.6%
3 29
10.8%
2 22
8.2%
8 20
7.5%
5 16
 
6.0%
9 15
 
5.6%
6 15
 
5.6%
- 13
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 268
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 48
17.9%
4 39
14.6%
1 39
14.6%
3 29
10.8%
2 22
8.2%
8 20
7.5%
5 16
 
6.0%
9 15
 
5.6%
6 15
 
5.6%
- 13
 
4.9%

사업장명
Text

Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-05-11T08:04:03.559196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length16.081967
Min length3

Characters and Unicode

Total characters981
Distinct characters131
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)93.4%

Sample

1st row사단법인한국장애인고용안정협회
2nd row(사)대한노인회 취업지원센터
3rd row(사)한국수입업협회
4th row(사)대한노인회서울특별시연합회
5th row(사)대한노인회 인천연합회 취업지원센터
ValueCountFrequency (%)
사)대한노인회 25
22.1%
취업지원센터 17
 
15.0%
용산여성인력개발센터 2
 
1.8%
사)청년여성문화원 2
 
1.8%
새희망 2
 
1.8%
한벗재단 1
 
0.9%
구립용산장애인복지관 1
 
0.9%
사단법인한국장애인고용안정협회 1
 
0.9%
사)한국청년센터 1
 
0.9%
청년종합고용상담소 1
 
0.9%
Other values (60) 60
53.1%
2024-05-11T08:04:04.754693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 75
 
7.6%
인 55
 
5.6%
52
 
5.3%
사 49
 
5.0%
지 47
 
4.8%
( 45
 
4.6%
) 45
 
4.6%
한 43
 
4.4%
대 37
 
3.8%
노 35
 
3.6%
Other values (121) 498
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 839
85.5%
Space Separator 52
 
5.3%
Open Punctuation 45
 
4.6%
Close Punctuation 45
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 75
 
8.9%
인 55
 
6.6%
사 49
 
5.8%
지 47
 
5.6%
한 43
 
5.1%
대 37
 
4.4%
노 35
 
4.2%
업 30
 
3.6%
터 29
 
3.5%
센 28
 
3.3%
Other values (118) 411
49.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 839
85.5%
Common 142
 
14.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 75
 
8.9%
인 55
 
6.6%
사 49
 
5.8%
지 47
 
5.6%
한 43
 
5.1%
대 37
 
4.4%
노 35
 
4.2%
업 30
 
3.6%
터 29
 
3.5%
센 28
 
3.3%
Other values (118) 411
49.0%
Common
ValueCountFrequency (%)
52
36.6%
( 45
31.7%
) 45
31.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 839
85.5%
ASCII 142
 
14.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 75
 
8.9%
인 55
 
6.6%
사 49
 
5.8%
지 47
 
5.6%
한 43
 
5.1%
대 37
 
4.4%
노 35
 
4.2%
업 30
 
3.6%
터 29
 
3.5%
센 28
 
3.3%
Other values (118) 411
49.0%
ASCII
ValueCountFrequency (%)
52
36.6%
( 45
31.7%
) 45
31.7%

최종수정일자
Date

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum2005-08-22 11:08:00
Maximum2024-04-15 13:45:50
2024-05-11T08:04:05.209955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:04:05.753003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
U
39 
I
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 39
63.9%
I 22
36.1%

Length

2024-05-11T08:04:06.240303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:04:06.571847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 39
63.9%
i 22
36.1%

데이터갱신일자
Date

Distinct38
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:07:00
2024-05-11T08:04:06.915693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:04:07.359926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size681.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)92.2%
Missing10
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean216890.39
Minimum144494.61
Maximum409459.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-05-11T08:04:07.868550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum144494.61
5-th percentile169048.7
Q1196415.01
median197503.74
Q3206133.34
95-th percentile346785.62
Maximum409459.4
Range264964.79
Interquartile range (IQR)9718.3321

Descriptive statistics

Standard deviation55307.322
Coefficient of variation (CV)0.25500125
Kurtosis4.4147724
Mean216890.39
Median Absolute Deviation (MAD)5304.9883
Skewness2.2420187
Sum11061410
Variance3.0588998 × 109
MonotonicityNot monotonic
2024-05-11T08:04:08.596613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
196415.008878402 4
 
6.6%
197456.301313202 2
 
3.3%
197580.21372865 1
 
1.6%
196961.380589569 1
 
1.6%
197374.613688051 1
 
1.6%
189979.778774713 1
 
1.6%
200463.324551786 1
 
1.6%
197699.906812014 1
 
1.6%
185234.265958387 1
 
1.6%
202808.72756036 1
 
1.6%
Other values (37) 37
60.7%
(Missing) 10
 
16.4%
ValueCountFrequency (%)
144494.610545 1
1.6%
164067.074587796 1
1.6%
166490.237546085 1
1.6%
171607.158102 1
1.6%
185234.265958387 1
1.6%
189979.778774713 1
1.6%
191003.9895506 1
1.6%
191782.66182 1
1.6%
192169.484279988 1
1.6%
192313.853991699 1
1.6%
ValueCountFrequency (%)
409459.399537007 1
1.6%
387200.683236296 1
1.6%
349112.299708743 1
1.6%
344458.93985 1
1.6%
341800.6341888 1
1.6%
307485.303863567 1
1.6%
262466.174936181 1
1.6%
238947.655535 1
1.6%
227150.8097 1
1.6%
213266.989569612 1
1.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)92.2%
Missing10
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean392735.42
Minimum-1299.753
Maximum485961.34
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)1.6%
Memory size681.0 B
2024-05-11T08:04:09.092803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1299.753
5-th percentile184473.04
Q1356151.96
median448066.03
Q3449691.99
95-th percentile460058.34
Maximum485961.34
Range487261.1
Interquartile range (IQR)93540.036

Descriptive statistics

Standard deviation106097.07
Coefficient of variation (CV)0.27014897
Kurtosis3.2339114
Mean392735.42
Median Absolute Deviation (MAD)5520.3474
Skewness-1.8950093
Sum20029507
Variance1.1256588 × 1010
MonotonicityNot monotonic
2024-05-11T08:04:09.609047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
449214.413960037 4
 
6.6%
449941.061751163 2
 
3.3%
449167.33298873 1
 
1.6%
448066.033667064 1
 
1.6%
447581.594004716 1
 
1.6%
447187.580724887 1
 
1.6%
448012.534305961 1
 
1.6%
448185.635566081 1
 
1.6%
457199.012083276 1
 
1.6%
442545.686244969 1
 
1.6%
Other values (37) 37
60.7%
(Missing) 10
 
16.4%
ValueCountFrequency (%)
-1299.75303266 1
1.6%
129678.821661302 1
1.6%
182441.050279 1
1.6%
186505.039158209 1
1.6%
196047.479908236 1
1.6%
229712.406826266 1
1.6%
262257.133981504 1
1.6%
267007.8061 1
1.6%
286749.395884 1
1.6%
316175.296736 1
1.6%
ValueCountFrequency (%)
485961.343052668 1
1.6%
460461.895023472 1
1.6%
460288.081364941 1
1.6%
459828.599563431 1
1.6%
457807.101290694 1
1.6%
457199.012083276 1
1.6%
455656.198016101 1
1.6%
454076.87106725 1
1.6%
451423.520308245 1
1.6%
450892.808407444 1
1.6%

법인구분명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
법인
31 
<NA>
30 

Length

Max length4
Median length2
Mean length2.9836066
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
법인 31
50.8%
<NA> 30
49.2%

Length

2024-05-11T08:04:10.191503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:04:10.648629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 31
50.8%
na 30
49.2%

구분명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size620.0 B
무료
31 
<NA>
30 

Length

Max length4
Median length2
Mean length2.9836066
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 31
50.8%
<NA> 30
49.2%

Length

2024-05-11T08:04:11.047363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:04:11.495133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 31
50.8%
na 30
49.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03020000199930200741120000119991014<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 513호 무지개아파트 202 1014서울특별시 노원구 동일로208길 19, 202동 1014호 (중계동,무지개아파트)<NA>사단법인한국장애인고용안정협회2005-08-22 13:35:21I2018-08-31 23:59:59.0<NA>205695.601651460288.081365법인무료
1302000019993020074112000021999-11-04<NA>1영업/정상20영업중<NA><NA><NA><NA>02 715 2850<NA><NA>서울특별시 용산구 효창동 255 (사)대한노인회 중앙회서울특별시 용산구 임정로 54, (사)대한노인회 취업지원센터 (효창동)04311(사)대한노인회 취업지원센터2023-07-07 16:21:28U2022-12-07 00:09:00.0<NA>196415.008878449214.41396<NA><NA>
2302000019993020074112000031999-05-18<NA>5제외/삭제/전출50타시군구이관2023-06-12<NA><NA><NA><NA><NA>140-875서울특별시 용산구 한강로2가 218번지서울특별시 용산구 한강대로 72 (한강로2가)140-875(사)한국수입업협회2023-06-12 13:09:21U2022-12-05 23:04:00.0<NA>196919.885989447161.5512<NA><NA>
3302000019993020074112000041999-10-20<NA>1영업/정상20영업중<NA><NA><NA><NA>027130374<NA><NA>서울특별시 용산구 효창동 255번지서울특별시 용산구 임정로 54 (효창동)140-120(사)대한노인회서울특별시연합회2023-04-18 10:58:41U2022-12-03 22:00:00.0<NA>196415.008878449214.41396<NA><NA>
43020000199930200741120000519991104<NA>3폐업40폐업20140718<NA><NA><NA><NA><NA><NA>인천광역시 중구 송학동1가 8번지 3호 16통 1반<NA><NA>(사)대한노인회 인천연합회 취업지원센터2014-07-18 15:49:45I2018-08-31 23:59:59.0<NA>166490.237546441454.359594법인무료
53020000199930200741120000619991104<NA>1영업/정상20영업중<NA><NA><NA><NA>0626547374<NA><NA>광주광역시 남구 서동 261번지 40호 15통 2반광주광역시 남구 제중로 92 (서동)61638(사)대한노인회 광주연합회 취업지원센터2021-08-13 17:36:20U2021-08-15 02:40:00.0<NA>191782.66182182441.050279법인무료
6302000019993020074112000071999-11-04<NA>1영업/정상20영업중2019-03-08<NA><NA><NA>0432769884<NA><NA>충청북도 청주시 흥덕구 사직동 320번지 44통 4반 우성아파트 102동 807호충청북도 청주시 흥덕구 흥덕로 42 (사직동)361-829(사)대한노인회 충북연합회 취업지원센터2023-07-17 19:04:14U2022-12-06 23:09:00.0<NA><NA><NA><NA><NA>
73020000199930200741120000819991104<NA>1영업/정상20영업중<NA><NA><NA><NA>0534720080<NA><NA>대구광역시 북구 산격동 1445-3 대구광역시청별관대구광역시 북구 연암로 40, 대구광역시청별관 2층 (산격동)41542(사)대한노인회 경북연합회 취업지원센터2021-04-07 15:00:04U2021-04-09 02:40:00.0<NA>344458.93985267007.8061법인무료
8302000019993020074112000091999-11-04<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>경상남도 창원시 의창구 도계동 887번지 1호경상남도 창원시 의창구 태복산로 3 (도계동)641-540(사)대한노인회 경남연합회 취업지원센터2023-06-08 16:59:38U2022-12-05 23:00:00.0<NA>349112.299709196047.479908<NA><NA>
93020000200030200741120000120000619<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 삼선동5가 28번지 7호서울특별시 성북구 보문로29가길 50 (삼선동5가)<NA>(사)한국지체장애인협회2005-12-02 17:16:31I2018-08-31 23:59:59.0<NA>201272.080337454076.871067법인무료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
51302000020163020150145000032016-03-17<NA>3폐업40폐업2023-06-30<NA><NA><NA>024273125<NA><NA>서울특별시 강동구 명일동 351번지 2호서울특별시 강동구 천중로49길 104 (명일동, 강동노인회관)05296(사)대한노인회 강동구지회2023-07-13 16:01:21U2022-12-06 23:05:00.0<NA>212718.028337449233.71208<NA><NA>
52302000020163020150145000062016-07-20<NA>3폐업40폐업2023-07-03<NA><NA><NA>023631334<NA><NA><NA>서울특별시 서대문구 통일로 279-22 (현저동)03732(사)대한노인회 서대문지회2023-07-03 17:22:01U2022-12-07 00:05:00.0<NA><NA><NA><NA><NA>
533020000201730201501450000120170209<NA>1영업/정상20영업중<NA><NA><NA><NA>0448689688<NA><NA><NA>세종특별자치시 조치원읍 새내10길 96 (세종시노인복지관)30026(사)대한노인회세종시지회 취업지원센터2018-06-24 08:43:13I2018-08-31 23:59:59.0<NA>227150.8097344742.743775법인무료
54302000020173020150145000032017-05-02<NA>1영업/정상20영업중<NA><NA><NA><NA>0232730008<NA><NA><NA>서울특별시 용산구 임정로 58 (효창동, (사)대한노인회서울특별시연합회)04311(사)대한노인회 용산구지회2023-03-13 17:00:05U2022-12-02 23:05:00.0<NA><NA><NA><NA><NA>
55302000020173020150145000042017-05-10<NA>3폐업40폐업2023-07-17<NA><NA><NA>0436523130<NA><NA>충청북도 제천시 청전동 653충청북도 제천시 의림대로33길 40(청전동)27153(사)대한노인회 제천시지회 취업지원센터2023-07-18 09:55:39U2022-12-06 22:00:00.0<NA>307485.303864405868.580015<NA><NA>
563020000201730201501450000620171207<NA>1영업/정상20영업중<NA><NA><NA><NA>027964524<NA><NA><NA>서울특별시 용산구 한강대로21길 35, 2층 (한강로3가, 전기사업소)04379코레일시니어직능클럽2017-12-07 16:08:04I2018-08-31 23:59:59.0<NA>196668.321533447211.265301법인무료
57302000020203020150145000082020-07-17<NA>3폐업40폐업2023-06-02<NA><NA><NA>02 3930661<NA><NA><NA>서울특별시 용산구 효창원로69길 42-3, 한벗 장애인 조기보호시 (효창동)04319사회복지법인 한벗재단2023-06-05 15:54:55U2022-12-06 00:08:00.0<NA>196411.329001448956.494811<NA><NA>
583020000202130201501450000520211229<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 원효로97길 25, 아세아항공전문학교 (원효로1가)04314재단법인 아세아항공직업전문학교2021-12-29 13:53:46I2021-12-31 00:22:51.0<NA>197191.313994448844.843051법인무료
593020000202230201501450000220150320<NA>1영업/정상20영업중<NA><NA><NA><NA>02 702 4048<NA><NA>서울특별시 용산구 한강로3가 40-427 한국여성단체협의회서울특별시 용산구 한강대로21길 25, 한국여성단체협의회 502호 (한강로3가)04379(사)한국비서사무협회2022-02-21 17:16:56U2022-02-23 02:40:00.0<NA>196722.209529447202.457463법인무료
60302000020223020150145000042022-05-30<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA><NA>인천광역시 서구 신석로121번길 10, 서구노인복지관 3층 (석남동)22784(사)대한노인회 인천광역시 서구지회 취업지원센터2023-03-13 17:23:29U2022-12-02 23:05:00.0<NA><NA><NA><NA><NA>