Overview

Dataset statistics

Number of variables27
Number of observations458
Missing cells4083
Missing cells (%)33.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory102.6 KiB
Average record size in memory229.3 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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-20217/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 458 (100.0%) missing valuesMissing
폐업일자 has 285 (62.2%) missing valuesMissing
휴업시작일자 has 458 (100.0%) missing valuesMissing
휴업종료일자 has 458 (100.0%) missing valuesMissing
재개업일자 has 458 (100.0%) missing valuesMissing
전화번호 has 301 (65.7%) missing valuesMissing
소재지면적 has 458 (100.0%) missing valuesMissing
소재지우편번호 has 403 (88.0%) missing valuesMissing
지번주소 has 6 (1.3%) missing valuesMissing
도로명주소 has 41 (9.0%) missing valuesMissing
도로명우편번호 has 229 (50.0%) missing valuesMissing
업태구분명 has 458 (100.0%) missing valuesMissing
좌표정보(X) has 35 (7.6%) missing valuesMissing
좌표정보(Y) has 35 (7.6%) 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 started2024-04-06 13:04:32.525506
Analysis finished2024-04-06 13:04:33.559483
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
3150000
458 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 458
100.0%

Length

2024-04-06T22:04:33.718736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:04:33.901995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 458
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct458
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.011398 × 1018
Minimum2.001315 × 1018
Maximum2.024315 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-06T22:04:34.123648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.001315 × 1018
5-th percentile2.002315 × 1018
Q12.003315 × 1018
median2.010315 × 1018
Q32.019315 × 1018
95-th percentile2.023315 × 1018
Maximum2.024315 × 1018
Range2.3000013 × 1016
Interquartile range (IQR)1.6000013 × 1016

Descriptive statistics

Standard deviation7.8186341 × 1015
Coefficient of variation (CV)0.0038871641
Kurtosis-1.5685115
Mean2.011398 × 1018
Median Absolute Deviation (MAD)7.0000057 × 1015
Skewness0.21857339
Sum-1.1169277 × 1018
Variance6.113104 × 1031
MonotonicityStrictly increasing
2024-04-06T22:04:34.415586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2001315007611500001 1
 
0.2%
2018315016614500002 1
 
0.2%
2017315016614500021 1
 
0.2%
2017315016614500020 1
 
0.2%
2017315016614500019 1
 
0.2%
2017315016614500018 1
 
0.2%
2017315016614500017 1
 
0.2%
2017315016614500016 1
 
0.2%
2017315016614500015 1
 
0.2%
2017315016614500014 1
 
0.2%
Other values (448) 448
97.8%
ValueCountFrequency (%)
2001315007611500001 1
0.2%
2002315007611500001 1
0.2%
2002315007611500002 1
0.2%
2002315007611500003 1
0.2%
2002315007611500004 1
0.2%
2002315007611500005 1
0.2%
2002315007611500006 1
0.2%
2002315007611500007 1
0.2%
2002315007611500008 1
0.2%
2002315007611500009 1
0.2%
ValueCountFrequency (%)
2024315020114500011 1
0.2%
2024315020114500010 1
0.2%
2024315020114500009 1
0.2%
2024315020114500008 1
0.2%
2024315020114500007 1
0.2%
2024315020114500006 1
0.2%
2024315020114500005 1
0.2%
2024315020114500004 1
0.2%
2024315020114500003 1
0.2%
2024315020114500002 1
0.2%

인허가일자
Date

Distinct414
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum1996-05-29 00:00:00
Maximum2024-03-26 00:00:00
2024-04-06T22:04:34.724539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:04:34.991620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing458
Missing (%)100.0%
Memory size4.2 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
3
290 
1
132 
4
 
22
5
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 290
63.3%
1 132
28.8%
4 22
 
4.8%
5 14
 
3.1%

Length

2024-04-06T22:04:35.261229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:04:35.452948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 290
63.3%
1 132
28.8%
4 22
 
4.8%
5 14
 
3.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
폐업
290 
영업/정상
132 
취소/말소/만료/정지/중지
 
22
제외/삭제/전출
 
14

Length

Max length14
Median length2
Mean length3.6244541
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row폐업
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 290
63.3%
영업/정상 132
28.8%
취소/말소/만료/정지/중지 22
 
4.8%
제외/삭제/전출 14
 
3.1%

Length

2024-04-06T22:04:35.665469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:04:35.866482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 290
63.3%
영업/정상 132
28.8%
취소/말소/만료/정지/중지 22
 
4.8%
제외/삭제/전출 14
 
3.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
40
290 
20
132 
70
 
22
50
 
14

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row70
2nd row40
3rd row40
4th row40
5th row40

Common Values

ValueCountFrequency (%)
40 290
63.3%
20 132
28.8%
70 22
 
4.8%
50 14
 
3.1%

Length

2024-04-06T22:04:36.052724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:04:36.204271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 290
63.3%
20 132
28.8%
70 22
 
4.8%
50 14
 
3.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
폐업
290 
영업중
132 
등록취소
 
22
타시군구이관
 
14

Length

Max length6
Median length2
Mean length2.5065502
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 290
63.3%
영업중 132
28.8%
등록취소 22
 
4.8%
타시군구이관 14
 
3.1%

Length

2024-04-06T22:04:36.372410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:04:36.560224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 290
63.3%
영업중 132
28.8%
등록취소 22
 
4.8%
타시군구이관 14
 
3.1%

폐업일자
Date

MISSING 

Distinct157
Distinct (%)90.8%
Missing285
Missing (%)62.2%
Memory size3.7 KiB
Minimum2007-03-23 00:00:00
Maximum2024-04-03 00:00:00
2024-04-06T22:04:36.740413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:04:37.387765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing458
Missing (%)100.0%
Memory size4.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing458
Missing (%)100.0%
Memory size4.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing458
Missing (%)100.0%
Memory size4.2 KiB

전화번호
Text

MISSING 

Distinct156
Distinct (%)99.4%
Missing301
Missing (%)65.7%
Memory size3.7 KiB
2024-04-06T22:04:37.771468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.312102
Min length8

Characters and Unicode

Total characters1776
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

Unique155 ?
Unique (%)98.7%

Sample

1st row02 26597200
2nd row02 26991404
3rd row0226978485
4th row26962288
5th row0236655596
ValueCountFrequency (%)
02 88
33.6%
070 5
 
1.9%
0226547477 2
 
0.8%
735 2
 
0.8%
3664 1
 
0.4%
26713575 1
 
0.4%
028362111 1
 
0.4%
26782900 1
 
0.4%
26051504 1
 
0.4%
69596727 1
 
0.4%
Other values (159) 159
60.7%
2024-04-06T22:04:38.431885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 325
18.3%
2 301
16.9%
6 222
12.5%
192
10.8%
1 132
7.4%
9 119
 
6.7%
5 117
 
6.6%
7 102
 
5.7%
3 95
 
5.3%
4 94
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1584
89.2%
Space Separator 192
 
10.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 325
20.5%
2 301
19.0%
6 222
14.0%
1 132
8.3%
9 119
 
7.5%
5 117
 
7.4%
7 102
 
6.4%
3 95
 
6.0%
4 94
 
5.9%
8 77
 
4.9%
Space Separator
ValueCountFrequency (%)
192
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1776
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 325
18.3%
2 301
16.9%
6 222
12.5%
192
10.8%
1 132
7.4%
9 119
 
6.7%
5 117
 
6.6%
7 102
 
5.7%
3 95
 
5.3%
4 94
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1776
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 325
18.3%
2 301
16.9%
6 222
12.5%
192
10.8%
1 132
7.4%
9 119
 
6.7%
5 117
 
6.6%
7 102
 
5.7%
3 95
 
5.3%
4 94
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing458
Missing (%)100.0%
Memory size4.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)67.3%
Missing403
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean146259.33
Minimum0
Maximum157930
Zeros4
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-06T22:04:38.665051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1157783.5
median157846
Q3157885
95-th percentile157924.3
Maximum157930
Range157930
Interquartile range (IQR)101.5

Descriptive statistics

Standard deviation41339.35
Coefficient of variation (CV)0.2826442
Kurtosis9.803236
Mean146259.33
Median Absolute Deviation (MAD)40
Skewness-3.3833555
Sum8044263
Variance1.7089419 × 109
MonotonicityNot monotonic
2024-04-06T22:04:38.944549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 4
 
0.9%
157840 3
 
0.7%
157853 3
 
0.7%
157846 3
 
0.7%
157916 3
 
0.7%
157873 2
 
0.4%
157040 2
 
0.4%
157930 2
 
0.4%
157908 2
 
0.4%
157811 2
 
0.4%
Other values (27) 29
 
6.3%
(Missing) 403
88.0%
ValueCountFrequency (%)
0 4
0.9%
157010 1
 
0.2%
157015 1
 
0.2%
157018 1
 
0.2%
157031 1
 
0.2%
157040 2
0.4%
157201 1
 
0.2%
157240 1
 
0.2%
157280 1
 
0.2%
157761 1
 
0.2%
ValueCountFrequency (%)
157930 2
0.4%
157925 1
 
0.2%
157924 1
 
0.2%
157916 3
0.7%
157915 1
 
0.2%
157909 1
 
0.2%
157908 2
0.4%
157902 1
 
0.2%
157897 1
 
0.2%
157886 1
 
0.2%

지번주소
Text

MISSING 

Distinct427
Distinct (%)94.5%
Missing6
Missing (%)1.3%
Memory size3.7 KiB
2024-04-06T22:04:39.440476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length30.849558
Min length13

Characters and Unicode

Total characters13944
Distinct characters288
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique410 ?
Unique (%)90.7%

Sample

1st row서울특별시 강서구 화곡동 1076번지 10호 18통 1반
2nd row서울특별시 마포구 용강동 18번지 2호 4통 5반 삼일아파트 702
3rd row경기도 고양시일산구 대화동 2005번지 15호 19통 2반
4th row인천광역시 서구 불노동 312번지 2호 15통 2반 신명아파트 105 1104
5th row서울특별시 강서구 내발산동 714번지 4호 13통 2반 칠성연립 가 305
ValueCountFrequency (%)
서울특별시 395
 
13.3%
강서구 346
 
11.7%
화곡동 111
 
3.7%
마곡동 77
 
2.6%
경기도 42
 
1.4%
2호 28
 
0.9%
방화동 27
 
0.9%
등촌동 26
 
0.9%
2반 25
 
0.8%
1호 24
 
0.8%
Other values (979) 1860
62.8%
2024-04-06T22:04:40.244636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2731
19.6%
서 758
 
5.4%
1 640
 
4.6%
동 493
 
3.5%
시 456
 
3.3%
구 429
 
3.1%
호 421
 
3.0%
0 412
 
3.0%
2 408
 
2.9%
별 396
 
2.8%
Other values (278) 6800
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7783
55.8%
Decimal Number 3263
23.4%
Space Separator 2731
 
19.6%
Dash Punctuation 110
 
0.8%
Uppercase Letter 36
 
0.3%
Letter Number 13
 
0.1%
Other Punctuation 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 758
 
9.7%
동 493
 
6.3%
시 456
 
5.9%
구 429
 
5.5%
호 421
 
5.4%
별 396
 
5.1%
울 396
 
5.1%
특 395
 
5.1%
강 367
 
4.7%
지 305
 
3.9%
Other values (244) 3367
43.3%
Uppercase Letter
ValueCountFrequency (%)
B 11
30.6%
A 4
 
11.1%
V 3
 
8.3%
I 3
 
8.3%
P 3
 
8.3%
W 2
 
5.6%
D 2
 
5.6%
R 2
 
5.6%
H 1
 
2.8%
N 1
 
2.8%
Other values (4) 4
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 640
19.6%
0 412
12.6%
2 408
12.5%
3 371
11.4%
4 306
9.4%
7 271
8.3%
5 255
 
7.8%
6 217
 
6.7%
8 205
 
6.3%
9 178
 
5.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 10
76.9%
Ⅲ 2
 
15.4%
Ⅳ 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
/ 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
2731
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7783
55.8%
Common 6111
43.8%
Latin 50
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 758
 
9.7%
동 493
 
6.3%
시 456
 
5.9%
구 429
 
5.5%
호 421
 
5.4%
별 396
 
5.1%
울 396
 
5.1%
특 395
 
5.1%
강 367
 
4.7%
지 305
 
3.9%
Other values (244) 3367
43.3%
Latin
ValueCountFrequency (%)
B 11
22.0%
Ⅱ 10
20.0%
A 4
 
8.0%
V 3
 
6.0%
I 3
 
6.0%
P 3
 
6.0%
W 2
 
4.0%
D 2
 
4.0%
R 2
 
4.0%
Ⅲ 2
 
4.0%
Other values (8) 8
16.0%
Common
ValueCountFrequency (%)
2731
44.7%
1 640
 
10.5%
0 412
 
6.7%
2 408
 
6.7%
3 371
 
6.1%
4 306
 
5.0%
7 271
 
4.4%
5 255
 
4.2%
6 217
 
3.6%
8 205
 
3.4%
Other values (6) 295
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7783
55.8%
ASCII 6148
44.1%
Number Forms 13
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2731
44.4%
1 640
 
10.4%
0 412
 
6.7%
2 408
 
6.6%
3 371
 
6.0%
4 306
 
5.0%
7 271
 
4.4%
5 255
 
4.1%
6 217
 
3.5%
8 205
 
3.3%
Other values (21) 332
 
5.4%
Hangul
ValueCountFrequency (%)
서 758
 
9.7%
동 493
 
6.3%
시 456
 
5.9%
구 429
 
5.5%
호 421
 
5.4%
별 396
 
5.1%
울 396
 
5.1%
특 395
 
5.1%
강 367
 
4.7%
지 305
 
3.9%
Other values (244) 3367
43.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 10
76.9%
Ⅲ 2
 
15.4%
Ⅳ 1
 
7.7%

도로명주소
Text

MISSING 

Distinct405
Distinct (%)97.1%
Missing41
Missing (%)9.0%
Memory size3.7 KiB
2024-04-06T22:04:40.670644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length34.549161
Min length20

Characters and Unicode

Total characters14407
Distinct characters300
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique395 ?
Unique (%)94.7%

Sample

1st row서울특별시 강서구 까치산로 5 (화곡동)
2nd row서울특별시 강서구 강서로45길 49-4, 가동 305호 (내발산동,칠성연립)
3rd row경상북도 상주시 낙동면 선상서로 2358-8
4th row인천광역시 부평구 길주남로 143, 202동 403호 (부개동,주공아파트)
5th row서울특별시 강서구 방화동로 81, 3층 (방화동)
ValueCountFrequency (%)
서울특별시 388
 
14.3%
강서구 348
 
12.8%
화곡동 110
 
4.1%
마곡동 78
 
2.9%
공항대로 45
 
1.7%
3층 34
 
1.3%
강서로 32
 
1.2%
방화동 31
 
1.1%
화곡로 28
 
1.0%
등촌동 25
 
0.9%
Other values (862) 1590
58.7%
2024-04-06T22:04:41.471095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2294
 
15.9%
서 830
 
5.8%
1 548
 
3.8%
동 524
 
3.6%
, 452
 
3.1%
강 440
 
3.1%
시 425
 
2.9%
로 416
 
2.9%
( 415
 
2.9%
) 415
 
2.9%
Other values (290) 7648
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8143
56.5%
Decimal Number 2528
 
17.5%
Space Separator 2294
 
15.9%
Other Punctuation 454
 
3.2%
Open Punctuation 415
 
2.9%
Close Punctuation 415
 
2.9%
Dash Punctuation 87
 
0.6%
Uppercase Letter 55
 
0.4%
Letter Number 14
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 830
 
10.2%
동 524
 
6.4%
강 440
 
5.4%
시 425
 
5.2%
로 416
 
5.1%
구 409
 
5.0%
별 389
 
4.8%
울 389
 
4.8%
특 388
 
4.8%
곡 372
 
4.6%
Other values (255) 3561
43.7%
Uppercase Letter
ValueCountFrequency (%)
B 20
36.4%
A 9
16.4%
I 4
 
7.3%
P 4
 
7.3%
V 4
 
7.3%
D 2
 
3.6%
R 2
 
3.6%
C 2
 
3.6%
W 2
 
3.6%
N 1
 
1.8%
Other values (5) 5
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 548
21.7%
2 347
13.7%
0 325
12.9%
3 293
11.6%
4 248
9.8%
5 218
 
8.6%
6 168
 
6.6%
7 135
 
5.3%
8 131
 
5.2%
9 115
 
4.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 11
78.6%
Ⅲ 2
 
14.3%
Ⅳ 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 452
99.6%
/ 2
 
0.4%
Space Separator
ValueCountFrequency (%)
2294
100.0%
Open Punctuation
ValueCountFrequency (%)
( 415
100.0%
Close Punctuation
ValueCountFrequency (%)
) 415
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8143
56.5%
Common 6195
43.0%
Latin 69
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 830
 
10.2%
동 524
 
6.4%
강 440
 
5.4%
시 425
 
5.2%
로 416
 
5.1%
구 409
 
5.0%
별 389
 
4.8%
울 389
 
4.8%
특 388
 
4.8%
곡 372
 
4.6%
Other values (255) 3561
43.7%
Latin
ValueCountFrequency (%)
B 20
29.0%
Ⅱ 11
15.9%
A 9
13.0%
I 4
 
5.8%
P 4
 
5.8%
V 4
 
5.8%
D 2
 
2.9%
R 2
 
2.9%
Ⅲ 2
 
2.9%
C 2
 
2.9%
Other values (8) 9
13.0%
Common
ValueCountFrequency (%)
2294
37.0%
1 548
 
8.8%
, 452
 
7.3%
( 415
 
6.7%
) 415
 
6.7%
2 347
 
5.6%
0 325
 
5.2%
3 293
 
4.7%
4 248
 
4.0%
5 218
 
3.5%
Other values (7) 640
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8143
56.5%
ASCII 6250
43.4%
Number Forms 14
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2294
36.7%
1 548
 
8.8%
, 452
 
7.2%
( 415
 
6.6%
) 415
 
6.6%
2 347
 
5.6%
0 325
 
5.2%
3 293
 
4.7%
4 248
 
4.0%
5 218
 
3.5%
Other values (22) 695
 
11.1%
Hangul
ValueCountFrequency (%)
서 830
 
10.2%
동 524
 
6.4%
강 440
 
5.4%
시 425
 
5.2%
로 416
 
5.1%
구 409
 
5.0%
별 389
 
4.8%
울 389
 
4.8%
특 388
 
4.8%
곡 372
 
4.6%
Other values (255) 3561
43.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 11
78.6%
Ⅲ 2
 
14.3%
Ⅳ 1
 
7.1%

도로명우편번호
Text

MISSING 

Distinct117
Distinct (%)51.1%
Missing229
Missing (%)50.0%
Memory size3.7 KiB
2024-04-06T22:04:42.024933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1310044
Min length5

Characters and Unicode

Total characters1175
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

Unique81 ?
Unique (%)35.4%

Sample

1st row07607
2nd row07760
3rd row07582
4th row07733
5th row07803
ValueCountFrequency (%)
07788 20
 
8.7%
07802 18
 
7.9%
07807 8
 
3.5%
07631 8
 
3.5%
07803 8
 
3.5%
07806 7
 
3.1%
07718 6
 
2.6%
07774 5
 
2.2%
07702 5
 
2.2%
07623 4
 
1.7%
Other values (107) 140
61.1%
2024-04-06T22:04:42.732022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 348
29.6%
0 291
24.8%
8 131
 
11.1%
1 90
 
7.7%
6 89
 
7.6%
5 77
 
6.6%
2 58
 
4.9%
3 39
 
3.3%
9 26
 
2.2%
4 23
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1172
99.7%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 348
29.7%
0 291
24.8%
8 131
 
11.2%
1 90
 
7.7%
6 89
 
7.6%
5 77
 
6.6%
2 58
 
4.9%
3 39
 
3.3%
9 26
 
2.2%
4 23
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1175
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 348
29.6%
0 291
24.8%
8 131
 
11.1%
1 90
 
7.7%
6 89
 
7.6%
5 77
 
6.6%
2 58
 
4.9%
3 39
 
3.3%
9 26
 
2.2%
4 23
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1175
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 348
29.6%
0 291
24.8%
8 131
 
11.1%
1 90
 
7.7%
6 89
 
7.6%
5 77
 
6.6%
2 58
 
4.9%
3 39
 
3.3%
9 26
 
2.2%
4 23
 
2.0%

사업장명
Text

Distinct433
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-04-06T22:04:43.112709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length7.8515284
Min length1

Characters and Unicode

Total characters3596
Distinct characters360
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique410 ?
Unique (%)89.5%

Sample

1st row한진직업소개소
2nd row소망취업정보
3rd row우진직업소개소
4th row할빈한중러통상(주)
5th row안전인력
ValueCountFrequency (%)
직업소개소 26
 
4.8%
주식회사 25
 
4.6%
세화파출박사 4
 
0.7%
미화종합인력 3
 
0.5%
개미인력 3
 
0.5%
강서양천 3
 
0.5%
송정직업소개소 3
 
0.5%
대유파출부 2
 
0.4%
대한취업정보 2
 
0.4%
주 2
 
0.4%
Other values (452) 474
86.7%
2024-04-06T22:04:43.778746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 289
 
8.0%
개 183
 
5.1%
업 173
 
4.8%
인 168
 
4.7%
력 151
 
4.2%
직 144
 
4.0%
주 107
 
3.0%
( 91
 
2.5%
) 91
 
2.5%
89
 
2.5%
Other values (350) 2110
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3198
88.9%
Open Punctuation 91
 
2.5%
Close Punctuation 91
 
2.5%
Space Separator 89
 
2.5%
Uppercase Letter 63
 
1.8%
Lowercase Letter 29
 
0.8%
Decimal Number 22
 
0.6%
Other Punctuation 6
 
0.2%
Dash Punctuation 4
 
0.1%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 289
 
9.0%
개 183
 
5.7%
업 173
 
5.4%
인 168
 
5.3%
력 151
 
4.7%
직 144
 
4.5%
주 107
 
3.3%
이 71
 
2.2%
사 57
 
1.8%
스 54
 
1.7%
Other values (304) 1801
56.3%
Uppercase Letter
ValueCountFrequency (%)
J 7
11.1%
E 7
11.1%
A 6
 
9.5%
S 5
 
7.9%
C 5
 
7.9%
H 4
 
6.3%
O 4
 
6.3%
W 4
 
6.3%
R 3
 
4.8%
I 3
 
4.8%
Other values (10) 15
23.8%
Lowercase Letter
ValueCountFrequency (%)
o 6
20.7%
e 4
13.8%
n 4
13.8%
l 3
10.3%
a 2
 
6.9%
p 2
 
6.9%
b 2
 
6.9%
m 1
 
3.4%
y 1
 
3.4%
i 1
 
3.4%
Other values (3) 3
10.3%
Decimal Number
ValueCountFrequency (%)
2 10
45.5%
1 7
31.8%
5 2
 
9.1%
6 1
 
4.5%
3 1
 
4.5%
9 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
& 4
66.7%
/ 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Space Separator
ValueCountFrequency (%)
89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3196
88.9%
Common 306
 
8.5%
Latin 92
 
2.6%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 289
 
9.0%
개 183
 
5.7%
업 173
 
5.4%
인 168
 
5.3%
력 151
 
4.7%
직 144
 
4.5%
주 107
 
3.3%
이 71
 
2.2%
사 57
 
1.8%
스 54
 
1.7%
Other values (302) 1799
56.3%
Latin
ValueCountFrequency (%)
J 7
 
7.6%
E 7
 
7.6%
o 6
 
6.5%
A 6
 
6.5%
S 5
 
5.4%
C 5
 
5.4%
H 4
 
4.3%
O 4
 
4.3%
e 4
 
4.3%
W 4
 
4.3%
Other values (23) 40
43.5%
Common
ValueCountFrequency (%)
( 91
29.7%
) 91
29.7%
89
29.1%
2 10
 
3.3%
1 7
 
2.3%
& 4
 
1.3%
- 4
 
1.3%
+ 3
 
1.0%
/ 2
 
0.7%
5 2
 
0.7%
Other values (3) 3
 
1.0%
Han
ValueCountFrequency (%)
株 1
50.0%
人 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3196
88.9%
ASCII 398
 
11.1%
CJK 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 289
 
9.0%
개 183
 
5.7%
업 173
 
5.4%
인 168
 
5.3%
력 151
 
4.7%
직 144
 
4.5%
주 107
 
3.3%
이 71
 
2.2%
사 57
 
1.8%
스 54
 
1.7%
Other values (302) 1799
56.3%
ASCII
ValueCountFrequency (%)
( 91
22.9%
) 91
22.9%
89
22.4%
2 10
 
2.5%
J 7
 
1.8%
1 7
 
1.8%
E 7
 
1.8%
o 6
 
1.5%
A 6
 
1.5%
S 5
 
1.3%
Other values (36) 79
19.8%
CJK
ValueCountFrequency (%)
株 1
50.0%
人 1
50.0%

최종수정일자
Date

UNIQUE 

Distinct458
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2002-12-13 10:19:56
Maximum2024-04-04 17:34:53
2024-04-06T22:04:44.111042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:04:44.421214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
I
246 
U
212 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 246
53.7%
U 212
46.3%

Length

2024-04-06T22:04:44.683499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:04:44.855210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 246
53.7%
u 212
46.3%

데이터갱신일자
Date

Distinct136
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T22:04:45.068011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:04:45.307620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing458
Missing (%)100.0%
Memory size4.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct337
Distinct (%)79.7%
Missing35
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean187694.95
Minimum165442.29
Maximum324053.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-06T22:04:45.574413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum165442.29
5-th percentile183032.25
Q1184805.68
median185887.93
Q3186954.45
95-th percentile202459.84
Maximum324053.59
Range158611.3
Interquartile range (IQR)2148.7656

Descriptive statistics

Standard deviation11705.368
Coefficient of variation (CV)0.062363787
Kurtosis73.650662
Mean187694.95
Median Absolute Deviation (MAD)1078.1026
Skewness7.4887837
Sum79394964
Variance1.3701563 × 108
MonotonicityNot monotonic
2024-04-06T22:04:45.854687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184655.264279055 6
 
1.3%
186354.318029524 6
 
1.3%
184526.084367975 5
 
1.1%
184971.522700042 5
 
1.1%
210748.761740325 4
 
0.9%
185086.248272885 4
 
0.9%
185943.168675662 4
 
0.9%
187052.323132425 4
 
0.9%
183382.861571856 4
 
0.9%
185095.247005248 3
 
0.7%
Other values (327) 378
82.5%
(Missing) 35
 
7.6%
ValueCountFrequency (%)
165442.288879805 1
0.2%
170517.375446658 1
0.2%
170599.566474323 1
0.2%
172517.440310161 1
0.2%
173235.748347 1
0.2%
173916.529257082 1
0.2%
173989.28565339 1
0.2%
175014.603582151 1
0.2%
175492.265605435 2
0.4%
175673.315209 1
0.2%
ValueCountFrequency (%)
324053.591888433 1
 
0.2%
306829.297914718 1
 
0.2%
264739.776172341 1
 
0.2%
242805.411183944 1
 
0.2%
226501.523373014 1
 
0.2%
217437.680871294 1
 
0.2%
215118.471790405 1
 
0.2%
210748.761740325 4
0.9%
210648.964917857 1
 
0.2%
209895.702319556 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct337
Distinct (%)79.7%
Missing35
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean447781.8
Minimum247887.43
Maximum484178.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-04-06T22:04:46.194243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum247887.43
5-th percentile443643.29
Q1448098.52
median449819.18
Q3451042.44
95-th percentile452713.51
Maximum484178.72
Range236291.29
Interquartile range (IQR)2943.9154

Descriptive statistics

Standard deviation18134.64
Coefficient of variation (CV)0.040498833
Kurtosis81.199125
Mean447781.8
Median Absolute Deviation (MAD)1350.1764
Skewness-8.579325
Sum1.894117 × 108
Variance3.2886518 × 108
MonotonicityNot monotonic
2024-04-06T22:04:46.436882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451864.298152252 6
 
1.3%
447736.830299049 6
 
1.3%
451722.650631223 5
 
1.1%
450643.056387457 5
 
1.1%
447208.802234708 4
 
0.9%
450830.206600426 4
 
0.9%
448930.821829751 4
 
0.9%
450291.97922408 4
 
0.9%
452713.505241493 4
 
0.9%
450885.058431205 3
 
0.7%
Other values (327) 378
82.5%
(Missing) 35
 
7.6%
ValueCountFrequency (%)
247887.425319 1
0.2%
272964.12153 1
0.2%
275460.520693 1
0.2%
319931.761878931 1
0.2%
346862.345348807 1
0.2%
415958.50748523 1
0.2%
422384.557429755 1
0.2%
426848.342315765 1
0.2%
428366.589181916 1
0.2%
431130.98145858 1
0.2%
ValueCountFrequency (%)
484178.717163437 1
0.2%
481155.247054584 1
0.2%
474515.966540523 1
0.2%
470204.680377871 1
0.2%
468570.891389896 1
0.2%
466384.449135971 1
0.2%
465477.581470356 1
0.2%
461238.447196268 1
0.2%
460651.191322187 1
0.2%
458726.210980198 1
0.2%

법인구분명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
개인
240 
<NA>
174 
법인
44 

Length

Max length4
Median length2
Mean length2.7598253
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 240
52.4%
<NA> 174
38.0%
법인 44
 
9.6%

Length

2024-04-06T22:04:46.660901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:04:46.857552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 240
52.4%
na 174
38.0%
법인 44
 
9.6%

구분명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
유료
284 
<NA>
174 

Length

Max length4
Median length2
Mean length2.7598253
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 284
62.0%
<NA> 174
38.0%

Length

2024-04-06T22:04:47.075149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:04:47.317389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 284
62.0%
na 174
38.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03150000200131500761150000120010425<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 1076번지 10호 18통 1반서울특별시 강서구 까치산로 5 (화곡동)<NA>한진직업소개소2003-03-17 13:25:39I2018-08-31 23:59:59.0<NA>185945.598123448743.378349개인유료
13150000200231500761150000120020826<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 용강동 18번지 2호 4통 5반 삼일아파트 702<NA><NA>소망취업정보2002-12-23 10:32:16I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
23150000200231500761150000220020820<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 고양시일산구 대화동 2005번지 15호 19통 2반<NA><NA>우진직업소개소2003-03-17 13:23:16I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
33150000200231500761150000320021125<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>인천광역시 서구 불노동 312번지 2호 15통 2반 신명아파트 105 1104<NA><NA>할빈한중러통상(주)2003-10-29 13:22:36I2018-08-31 23:59:59.0<NA><NA><NA>법인유료
43150000200231500761150000420020911<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 714번지 4호 13통 2반 칠성연립 가 305서울특별시 강서구 강서로45길 49-4, 가동 305호 (내발산동,칠성연립)<NA>안전인력2005-02-25 14:09:52I2018-08-31 23:59:59.0<NA>185163.65688449515.060712개인유료
53150000200231500761150000520020917<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>제주도 제주시 연동 1399번지 1호 53통 6반 대림아파트 206 603<NA><NA>서경취업정보2005-04-20 15:56:31I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
63150000200231500761150000620020925<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경상북도 상주시 낙동면 운평리 499번지 7호 15통경상북도 상주시 낙동면 선상서로 2358-8<NA>태양인력공사2005-06-30 15:36:49I2018-08-31 23:59:59.0<NA>306829.297915319931.761879개인유료
73150000200231500761150000720000721<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 332번지 21호 13통 10반 남정빌라 나 102<NA><NA>국민건설인력2004-03-11 16:53:13I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
83150000200231500761150000820021118<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>인천광역시 부평구 부개동 496번지 2호 22통 2반 주공아파트 202 403인천광역시 부평구 길주남로 143, 202동 403호 (부개동,주공아파트)<NA>서울인력개발2003-10-22 16:07:31I2018-08-31 23:59:59.0<NA>176772.241295444821.346432개인유료
93150000200231500761150000920010828<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>제주도 제주시 이도이동 1186번지 27호 4통 3반<NA><NA>22세기직업소개소2003-09-15 17:24:37I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
448315000020243150201145000022024-01-23<NA>1영업/정상20영업중<NA><NA><NA><NA>02 69615311<NA><NA>서울특별시 강서구 마곡동 800-15 이너매스마곡Ⅱ 703호서울특별시 강서구 마곡중앙2로 35, 이너매스마곡Ⅱ 7층 703호 (마곡동)07806잡어쏘 주식회사2024-03-07 16:30:16U2023-12-03 00:09:00.0<NA>184971.5227450643.056387<NA><NA>
449315000020243150201145000032024-01-29<NA>1영업/정상20영업중<NA><NA><NA><NA>02 26981919<NA><NA>서울특별시 강서구 화곡동 343-51 401호서울특별시 강서구 강서로 45, 401호 (화곡동)07774잡워크2024-01-29 19:45:29I2023-11-30 21:01:00.0<NA>186354.31803447736.830299<NA><NA>
450315000020243150201145000042024-02-15<NA>1영업/정상20영업중<NA><NA><NA><NA>02 63320194<NA><NA>서울특별시 강서구 마곡동 774-3 센테니아 1011호서울특별시 강서구 공항대로 219, 센테니아 10층 1011호 (마곡동)07802(주)성진파트너스2024-02-15 13:36:55I2023-12-01 23:07:00.0<NA>185086.248273450830.2066<NA><NA>
451315000020243150201145000052024-02-15<NA>1영업/정상20영업중<NA><NA><NA><NA>070 87485080<NA><NA>서울특별시 강서구 화곡동 927-5 302호서울특별시 강서구 강서로5나길 116, 3층 302호 (화곡동)07776(주)케이앤브이월드2024-02-16 09:30:58I2023-12-01 23:08:00.0<NA>185941.008408447376.137172<NA><NA>
452315000020243150201145000062024-02-15<NA>1영업/정상20영업중<NA><NA><NA><NA>02 36621521<NA><NA>서울특별시 강서구 가양동 1479-5 태민빌딩 201호서울특별시 강서구 양천로57길 9-8, 태민빌딩 201호 (가양동)07527리드개발지점2024-03-12 13:13:50U2023-12-02 23:04:00.0<NA>186834.301438451274.550747<NA><NA>
453315000020243150201145000072024-02-23<NA>1영업/정상20영업중<NA><NA><NA><NA>02 66737700<NA><NA>서울특별시 강서구 등촌동 682-2 웅진프라자 304호서울특별시 강서구 강서로 454, 웅진프라자 3층 304호 (등촌동)07582(주)365기획2024-02-23 17:38:52I2023-12-01 22:05:00.0<NA>185882.668721451525.065158<NA><NA>
454315000020243150201145000082024-02-26<NA>1영업/정상20영업중<NA><NA><NA><NA>02 34468005<NA><NA>서울특별시 강서구 마곡동 774-9 사이언스타 619호서울특별시 강서구 마곡중앙6로 42, 사이언스타 6층 619호 (마곡동)07802(주)코리아워크허브2024-02-26 17:13:50I2023-12-01 22:08:00.0<NA>185095.247005450885.058431<NA><NA>
455315000020243150201145000092024-02-26<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 747 마곡엠밸리10단지 605호서울특별시 강서구 마곡중앙1로 72, 6층 605호 (마곡동, 마곡엠밸리10단지)07629성공직업소개소2024-02-26 17:15:15I2023-12-01 22:08:00.0<NA>183968.906836450822.830989<NA><NA>
456315000020243150201145000102024-03-20<NA>3폐업40폐업2024-04-03<NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 665-12 201호서울특별시 강서구 우장산로 19-1, 2층 201호 (내발산동)07652경향 직업소개소2024-04-03 18:07:27U2023-12-04 00:05:00.0<NA>185746.185485450280.575055<NA><NA>
457315000020243150201145000112024-03-26<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 774-9 사이언스타 306호서울특별시 강서구 마곡중앙6로 42, 사이언스타 3층 306호 (마곡동)07802주식회사 케이에이치에스2024-03-26 16:06:47I2023-12-02 22:08:00.0<NA>185095.247005450885.058431<NA><NA>