Overview

Dataset statistics

Number of variables27
Number of observations741
Missing cells6399
Missing cells (%)32.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory165.8 KiB
Average record size in memory229.2 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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-20218/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 741 (100.0%) missing valuesMissing
폐업일자 has 362 (48.9%) missing valuesMissing
휴업시작일자 has 741 (100.0%) missing valuesMissing
휴업종료일자 has 741 (100.0%) missing valuesMissing
재개업일자 has 741 (100.0%) missing valuesMissing
전화번호 has 487 (65.7%) missing valuesMissing
소재지면적 has 741 (100.0%) missing valuesMissing
소재지우편번호 has 548 (74.0%) missing valuesMissing
지번주소 has 23 (3.1%) missing valuesMissing
도로명주소 has 72 (9.7%) missing valuesMissing
도로명우편번호 has 375 (50.6%) missing valuesMissing
업태구분명 has 741 (100.0%) missing valuesMissing
좌표정보(X) has 43 (5.8%) missing valuesMissing
좌표정보(Y) has 43 (5.8%) 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 started2024-04-17 15:01:13.834409
Analysis finished2024-04-17 15:01:14.417430
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
3160000
741 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 741
100.0%

Length

2024-04-18T00:01:14.465803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:01:14.538200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 741
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct741
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0097344 × 1018
Minimum1.988316 × 1018
Maximum2.024316 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-18T00:01:14.618534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.988316 × 1018
5-th percentile1.997316 × 1018
Q12.004316 × 1018
median2.009316 × 1018
Q32.016316 × 1018
95-th percentile2.022316 × 1018
Maximum2.024316 × 1018
Range3.6000009 × 1016
Interquartile range (IQR)1.2000007 × 1016

Descriptive statistics

Standard deviation7.9741432 × 1015
Coefficient of variation (CV)0.0039677598
Kurtosis-0.52996484
Mean2.0097344 × 1018
Median Absolute Deviation (MAD)6.0000043 × 1015
Skewness-0.20680724
Sum-4.9731048 × 1018
Variance6.358696 × 1031
MonotonicityStrictly increasing
2024-04-18T00:01:14.725063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1988316007111500001 1
 
0.1%
2014316016014500018 1
 
0.1%
2014316016014500007 1
 
0.1%
2014316016014500008 1
 
0.1%
2014316016014500009 1
 
0.1%
2014316016014500010 1
 
0.1%
2014316016014500011 1
 
0.1%
2014316016014500012 1
 
0.1%
2014316016014500015 1
 
0.1%
2014316016014500016 1
 
0.1%
Other values (731) 731
98.7%
ValueCountFrequency (%)
1988316007111500001 1
0.1%
1989316007111500001 1
0.1%
1989316007111500002 1
0.1%
1989316007111500003 1
0.1%
1989316007111500004 1
0.1%
1989316007111500006 1
0.1%
1989316007111500007 1
0.1%
1990316007111500001 1
0.1%
1990316007111500002 1
0.1%
1990316007111500003 1
0.1%
ValueCountFrequency (%)
2024316016014500004 1
0.1%
2024316016014500003 1
0.1%
2024316016014500002 1
0.1%
2024316016014500001 1
0.1%
2023316016014500019 1
0.1%
2023316016014500018 1
0.1%
2023316016014500017 1
0.1%
2023316016014500015 1
0.1%
2023316016014500014 1
0.1%
2023316016014500013 1
0.1%

인허가일자
Date

Distinct655
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Minimum1988-01-01 00:00:00
Maximum2024-03-28 00:00:00
2024-04-18T00:01:14.828658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T00:01:14.936902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing741
Missing (%)100.0%
Memory size6.6 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
3
554 
1
139 
4
 
24
5
 
24

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 554
74.8%
1 139
 
18.8%
4 24
 
3.2%
5 24
 
3.2%

Length

2024-04-18T00:01:15.033065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:01:15.111872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 554
74.8%
1 139
 
18.8%
4 24
 
3.2%
5 24
 
3.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
폐업
554 
영업/정상
139 
취소/말소/만료/정지/중지
 
24
제외/삭제/전출
 
24

Length

Max length14
Median length2
Mean length3.145749
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 554
74.8%
영업/정상 139
 
18.8%
취소/말소/만료/정지/중지 24
 
3.2%
제외/삭제/전출 24
 
3.2%

Length

2024-04-18T00:01:15.198282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:01:15.294947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 554
74.8%
영업/정상 139
 
18.8%
취소/말소/만료/정지/중지 24
 
3.2%
제외/삭제/전출 24
 
3.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
40
554 
20
139 
70
 
24
50
 
24

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
40 554
74.8%
20 139
 
18.8%
70 24
 
3.2%
50 24
 
3.2%

Length

2024-04-18T00:01:15.383757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:01:15.483077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 554
74.8%
20 139
 
18.8%
70 24
 
3.2%
50 24
 
3.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
폐업
554 
영업중
139 
등록취소
 
24
타시군구이관
 
24

Length

Max length6
Median length2
Mean length2.3819163
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 554
74.8%
영업중 139
 
18.8%
등록취소 24
 
3.2%
타시군구이관 24
 
3.2%

Length

2024-04-18T00:01:15.586129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:01:15.674839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 554
74.8%
영업중 139
 
18.8%
등록취소 24
 
3.2%
타시군구이관 24
 
3.2%

폐업일자
Date

MISSING 

Distinct343
Distinct (%)90.5%
Missing362
Missing (%)48.9%
Memory size5.9 KiB
Minimum2000-03-27 00:00:00
Maximum2024-01-29 00:00:00
2024-04-18T00:01:15.782849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T00:01:15.890731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing741
Missing (%)100.0%
Memory size6.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing741
Missing (%)100.0%
Memory size6.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing741
Missing (%)100.0%
Memory size6.6 KiB

전화번호
Text

MISSING 

Distinct242
Distinct (%)95.3%
Missing487
Missing (%)65.7%
Memory size5.9 KiB
2024-04-18T00:01:16.107772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.38189
Min length7

Characters and Unicode

Total characters2891
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

Unique230 ?
Unique (%)90.6%

Sample

1st row028329960
2nd row02 20606008
3rd row02 858 7326
4th row02 858 3333
5th row02 838 6611
ValueCountFrequency (%)
02 190
33.5%
858 12
 
2.1%
866 11
 
1.9%
855 8
 
1.4%
865 7
 
1.2%
857 6
 
1.1%
867 6
 
1.1%
851 6
 
1.1%
1919 5
 
0.9%
852 5
 
0.9%
Other values (273) 312
54.9%
2024-04-18T00:01:16.434441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
507
17.5%
0 474
16.4%
2 409
14.1%
8 299
10.3%
6 237
8.2%
5 217
7.5%
1 176
 
6.1%
3 164
 
5.7%
9 142
 
4.9%
4 136
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2384
82.5%
Space Separator 507
 
17.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 474
19.9%
2 409
17.2%
8 299
12.5%
6 237
9.9%
5 217
9.1%
1 176
 
7.4%
3 164
 
6.9%
9 142
 
6.0%
4 136
 
5.7%
7 130
 
5.5%
Space Separator
ValueCountFrequency (%)
507
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2891
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
507
17.5%
0 474
16.4%
2 409
14.1%
8 299
10.3%
6 237
8.2%
5 217
7.5%
1 176
 
6.1%
3 164
 
5.7%
9 142
 
4.9%
4 136
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2891
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
507
17.5%
0 474
16.4%
2 409
14.1%
8 299
10.3%
6 237
8.2%
5 217
7.5%
1 176
 
6.1%
3 164
 
5.7%
9 142
 
4.9%
4 136
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing741
Missing (%)100.0%
Memory size6.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)28.5%
Missing548
Missing (%)74.0%
Infinite0
Infinite (%)0.0%
Mean147244.27
Minimum0
Maximum158070
Zeros7
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-18T00:01:16.555674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile152038
Q1152800
median152843
Q3152865
95-th percentile152889.8
Maximum158070
Range158070
Interquartile range (IQR)65

Descriptive statistics

Standard deviation28642.615
Coefficient of variation (CV)0.19452447
Kurtosis23.224753
Mean147244.27
Median Absolute Deviation (MAD)34
Skewness-4.9976651
Sum28418145
Variance8.2039938 × 108
MonotonicityNot monotonic
2024-04-18T00:01:16.667871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
152800 29
 
3.9%
152847 10
 
1.3%
152801 10
 
1.3%
152858 9
 
1.2%
152876 9
 
1.2%
152842 8
 
1.1%
152875 8
 
1.1%
0 7
 
0.9%
152880 7
 
0.9%
152050 7
 
0.9%
Other values (45) 89
 
12.0%
(Missing) 548
74.0%
ValueCountFrequency (%)
0 7
0.9%
152020 3
0.4%
152050 7
0.9%
152053 3
0.4%
152054 4
0.5%
152082 1
 
0.1%
152100 1
 
0.1%
152705 1
 
0.1%
152710 1
 
0.1%
152719 4
0.5%
ValueCountFrequency (%)
158070 1
 
0.1%
152901 1
 
0.1%
152900 1
 
0.1%
152896 3
 
0.4%
152895 1
 
0.1%
152894 3
 
0.4%
152887 2
 
0.3%
152880 7
0.9%
152877 3
 
0.4%
152876 9
1.2%

지번주소
Text

MISSING 

Distinct665
Distinct (%)92.6%
Missing23
Missing (%)3.1%
Memory size5.9 KiB
2024-04-18T00:01:16.947013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length42
Mean length29.793872
Min length8

Characters and Unicode

Total characters21392
Distinct characters302
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

Unique619 ?
Unique (%)86.2%

Sample

1st row서울특별시 서초구 반포동 70번지 1호 15통 6반 한신서래아파트 3 1110
2nd row충청북도 충주시 연수동 686호 68통 1반 연수주공4단지아파트 401 1501
3rd row서울특별시 구로구 구로동 733번지 22호 12통 7반 2층
4th row서울특별시 관악구 신림동 646번지 184호 10통 4반
5th row경기도 남양주시 화도읍 마석우리 448번지 1호 2통 2반 마석대림아파트 103 502
ValueCountFrequency (%)
서울특별시 604
 
13.0%
구로구 500
 
10.8%
구로동 233
 
5.0%
가리봉동 85
 
1.8%
경기도 76
 
1.6%
1호 65
 
1.4%
2층 56
 
1.2%
2반 37
 
0.8%
3층 36
 
0.8%
4반 35
 
0.8%
Other values (1237) 2908
62.7%
2024-04-18T00:01:17.334017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4237
19.8%
구 1511
 
7.1%
1 1080
 
5.0%
로 849
 
4.0%
동 755
 
3.5%
2 742
 
3.5%
시 734
 
3.4%
호 702
 
3.3%
서 626
 
2.9%
0 621
 
2.9%
Other values (292) 9535
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11910
55.7%
Decimal Number 5099
23.8%
Space Separator 4237
 
19.8%
Dash Punctuation 95
 
0.4%
Uppercase Letter 39
 
0.2%
Letter Number 5
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1511
 
12.7%
로 849
 
7.1%
동 755
 
6.3%
시 734
 
6.2%
호 702
 
5.9%
서 626
 
5.3%
울 607
 
5.1%
별 605
 
5.1%
특 604
 
5.1%
지 576
 
4.8%
Other values (261) 4341
36.4%
Uppercase Letter
ValueCountFrequency (%)
B 14
35.9%
A 11
28.2%
T 3
 
7.7%
G 2
 
5.1%
P 2
 
5.1%
R 1
 
2.6%
E 1
 
2.6%
W 1
 
2.6%
O 1
 
2.6%
K 1
 
2.6%
Other values (2) 2
 
5.1%
Decimal Number
ValueCountFrequency (%)
1 1080
21.2%
2 742
14.6%
0 621
12.2%
3 561
11.0%
4 463
9.1%
8 385
 
7.6%
5 367
 
7.2%
7 332
 
6.5%
6 308
 
6.0%
9 240
 
4.7%
Letter Number
ValueCountFrequency (%)
Ⅲ 4
80.0%
Ⅴ 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
4237
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11910
55.7%
Common 9437
44.1%
Latin 45
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1511
 
12.7%
로 849
 
7.1%
동 755
 
6.3%
시 734
 
6.2%
호 702
 
5.9%
서 626
 
5.3%
울 607
 
5.1%
별 605
 
5.1%
특 604
 
5.1%
지 576
 
4.8%
Other values (261) 4341
36.4%
Common
ValueCountFrequency (%)
4237
44.9%
1 1080
 
11.4%
2 742
 
7.9%
0 621
 
6.6%
3 561
 
5.9%
4 463
 
4.9%
8 385
 
4.1%
5 367
 
3.9%
7 332
 
3.5%
6 308
 
3.3%
Other values (6) 341
 
3.6%
Latin
ValueCountFrequency (%)
B 14
31.1%
A 11
24.4%
Ⅲ 4
 
8.9%
T 3
 
6.7%
G 2
 
4.4%
P 2
 
4.4%
R 1
 
2.2%
E 1
 
2.2%
W 1
 
2.2%
O 1
 
2.2%
Other values (5) 5
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11910
55.7%
ASCII 9477
44.3%
Number Forms 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4237
44.7%
1 1080
 
11.4%
2 742
 
7.8%
0 621
 
6.6%
3 561
 
5.9%
4 463
 
4.9%
8 385
 
4.1%
5 367
 
3.9%
7 332
 
3.5%
6 308
 
3.2%
Other values (19) 381
 
4.0%
Hangul
ValueCountFrequency (%)
구 1511
 
12.7%
로 849
 
7.1%
동 755
 
6.3%
시 734
 
6.2%
호 702
 
5.9%
서 626
 
5.3%
울 607
 
5.1%
별 605
 
5.1%
특 604
 
5.1%
지 576
 
4.8%
Other values (261) 4341
36.4%
Number Forms
ValueCountFrequency (%)
Ⅲ 4
80.0%
Ⅴ 1
 
20.0%

도로명주소
Text

MISSING 

Distinct607
Distinct (%)90.7%
Missing72
Missing (%)9.7%
Memory size5.9 KiB
2024-04-18T00:01:17.573749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length46
Mean length32.29148
Min length20

Characters and Unicode

Total characters21603
Distinct characters325
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

Unique558 ?
Unique (%)83.4%

Sample

1st row서울특별시 서초구 사평대로28길 31, 3동 1110호 (반포동,한신서래아파트)
2nd row충청북도 충주시 예성로 401, 401동 1501호 (연수동,연수주공4단지아파트)
3rd row서울특별시 구로구 구로동로22길 15-1, 2층동 (구로동)
4th row서울특별시 관악구 난곡로24바길 27-19 (신림동)
5th row경기도 남양주시 화도읍 비룡로 110-17, 103동 502호 (마석대림아파트)
ValueCountFrequency (%)
서울특별시 606
 
14.9%
구로구 517
 
12.8%
구로동 278
 
6.9%
구로동로 79
 
1.9%
가리봉동 78
 
1.9%
도림로 72
 
1.8%
2층 57
 
1.4%
3층 55
 
1.4%
경기도 45
 
1.1%
1층 35
 
0.9%
Other values (1071) 2232
55.1%
2024-04-18T00:01:17.931646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3385
 
15.7%
로 1680
 
7.8%
구 1669
 
7.7%
동 906
 
4.2%
1 806
 
3.7%
시 690
 
3.2%
, 672
 
3.1%
( 666
 
3.1%
) 666
 
3.1%
2 649
 
3.0%
Other values (315) 9814
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12364
57.2%
Decimal Number 3644
 
16.9%
Space Separator 3385
 
15.7%
Other Punctuation 674
 
3.1%
Open Punctuation 666
 
3.1%
Close Punctuation 666
 
3.1%
Dash Punctuation 155
 
0.7%
Uppercase Letter 37
 
0.2%
Lowercase Letter 7
 
< 0.1%
Letter Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1680
 
13.6%
구 1669
 
13.5%
동 906
 
7.3%
시 690
 
5.6%
서 634
 
5.1%
울 608
 
4.9%
별 607
 
4.9%
특 606
 
4.9%
길 340
 
2.7%
호 311
 
2.5%
Other values (278) 4313
34.9%
Uppercase Letter
ValueCountFrequency (%)
B 18
48.6%
A 4
 
10.8%
W 2
 
5.4%
G 2
 
5.4%
K 2
 
5.4%
R 1
 
2.7%
E 1
 
2.7%
O 1
 
2.7%
T 1
 
2.7%
H 1
 
2.7%
Other values (4) 4
 
10.8%
Decimal Number
ValueCountFrequency (%)
1 806
22.1%
2 649
17.8%
3 487
13.4%
0 445
12.2%
5 278
 
7.6%
4 278
 
7.6%
7 214
 
5.9%
6 173
 
4.7%
8 171
 
4.7%
9 143
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
e 3
42.9%
r 1
 
14.3%
t 1
 
14.3%
n 1
 
14.3%
c 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 672
99.7%
. 2
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅲ 4
80.0%
Ⅴ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3385
100.0%
Open Punctuation
ValueCountFrequency (%)
( 666
100.0%
Close Punctuation
ValueCountFrequency (%)
) 666
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12364
57.2%
Common 9190
42.5%
Latin 49
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1680
 
13.6%
구 1669
 
13.5%
동 906
 
7.3%
시 690
 
5.6%
서 634
 
5.1%
울 608
 
4.9%
별 607
 
4.9%
특 606
 
4.9%
길 340
 
2.7%
호 311
 
2.5%
Other values (278) 4313
34.9%
Latin
ValueCountFrequency (%)
B 18
36.7%
A 4
 
8.2%
Ⅲ 4
 
8.2%
e 3
 
6.1%
W 2
 
4.1%
G 2
 
4.1%
K 2
 
4.1%
R 1
 
2.0%
r 1
 
2.0%
E 1
 
2.0%
Other values (11) 11
22.4%
Common
ValueCountFrequency (%)
3385
36.8%
1 806
 
8.8%
, 672
 
7.3%
( 666
 
7.2%
) 666
 
7.2%
2 649
 
7.1%
3 487
 
5.3%
0 445
 
4.8%
5 278
 
3.0%
4 278
 
3.0%
Other values (6) 858
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12364
57.2%
ASCII 9234
42.7%
Number Forms 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3385
36.7%
1 806
 
8.7%
, 672
 
7.3%
( 666
 
7.2%
) 666
 
7.2%
2 649
 
7.0%
3 487
 
5.3%
0 445
 
4.8%
5 278
 
3.0%
4 278
 
3.0%
Other values (25) 902
 
9.8%
Hangul
ValueCountFrequency (%)
로 1680
 
13.6%
구 1669
 
13.5%
동 906
 
7.3%
시 690
 
5.6%
서 634
 
5.1%
울 608
 
4.9%
별 607
 
4.9%
특 606
 
4.9%
길 340
 
2.7%
호 311
 
2.5%
Other values (278) 4313
34.9%
Number Forms
ValueCountFrequency (%)
Ⅲ 4
80.0%
Ⅴ 1
 
20.0%

도로명우편번호
Text

MISSING 

Distinct120
Distinct (%)32.8%
Missing375
Missing (%)50.6%
Memory size5.9 KiB
2024-04-18T00:01:18.182529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3743169
Min length5

Characters and Unicode

Total characters1967
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

Unique56 ?
Unique (%)15.3%

Sample

1st row08320
2nd row08319
3rd row08333
4th row08279
5th row08277
ValueCountFrequency (%)
152800 24
 
6.6%
08320 20
 
5.5%
08322 18
 
4.9%
08376 10
 
2.7%
152876 9
 
2.5%
08385 9
 
2.5%
08305 9
 
2.5%
08378 8
 
2.2%
08298 8
 
2.2%
08372 7
 
1.9%
Other values (110) 244
66.7%
2024-04-18T00:01:18.571632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 419
21.3%
0 384
19.5%
2 288
14.6%
1 206
10.5%
5 204
10.4%
3 200
10.2%
7 108
 
5.5%
4 56
 
2.8%
6 52
 
2.6%
9 43
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1960
99.6%
Dash Punctuation 7
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 419
21.4%
0 384
19.6%
2 288
14.7%
1 206
10.5%
5 204
10.4%
3 200
10.2%
7 108
 
5.5%
4 56
 
2.9%
6 52
 
2.7%
9 43
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1967
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 419
21.3%
0 384
19.5%
2 288
14.6%
1 206
10.5%
5 204
10.4%
3 200
10.2%
7 108
 
5.5%
4 56
 
2.8%
6 52
 
2.6%
9 43
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 419
21.3%
0 384
19.5%
2 288
14.6%
1 206
10.5%
5 204
10.4%
3 200
10.2%
7 108
 
5.5%
4 56
 
2.8%
6 52
 
2.6%
9 43
 
2.2%

사업장명
Text

Distinct673
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2024-04-18T00:01:18.822335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length7.1093117
Min length1

Characters and Unicode

Total characters5268
Distinct characters353
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique618 ?
Unique (%)83.4%

Sample

1st row구로제2안내소
2nd row김승채직업소개소
3rd row김덕제직업안내소
4th row김동구직업소개소
5th row구로제9직업안내소
ValueCountFrequency (%)
주식회사 8
 
1.0%
직업소개소 8
 
1.0%
주 6
 
0.8%
우리직업소개소 4
 
0.5%
명성직업소개소 4
 
0.5%
신정직업소개소 4
 
0.5%
믿음직업소개소 4
 
0.5%
조아인력 3
 
0.4%
곰취업정보 3
 
0.4%
동원직업소개소 3
 
0.4%
Other values (685) 738
94.0%
2024-04-18T00:01:19.193732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 525
 
10.0%
개 364
 
6.9%
업 328
 
6.2%
인 306
 
5.8%
력 273
 
5.2%
직 262
 
5.0%
주 142
 
2.7%
( 131
 
2.5%
) 131
 
2.5%
발 108
 
2.1%
Other values (343) 2698
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4873
92.5%
Open Punctuation 131
 
2.5%
Close Punctuation 131
 
2.5%
Uppercase Letter 62
 
1.2%
Space Separator 44
 
0.8%
Decimal Number 21
 
0.4%
Other Punctuation 3
 
0.1%
Dash Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 525
 
10.8%
개 364
 
7.5%
업 328
 
6.7%
인 306
 
6.3%
력 273
 
5.6%
직 262
 
5.4%
주 142
 
2.9%
발 108
 
2.2%
이 72
 
1.5%
정 64
 
1.3%
Other values (310) 2429
49.8%
Uppercase Letter
ValueCountFrequency (%)
O 10
16.1%
I 8
12.9%
K 4
 
6.5%
R 4
 
6.5%
E 4
 
6.5%
T 4
 
6.5%
S 4
 
6.5%
B 4
 
6.5%
C 3
 
4.8%
J 3
 
4.8%
Other values (9) 14
22.6%
Decimal Number
ValueCountFrequency (%)
1 6
28.6%
2 6
28.6%
8 4
19.0%
9 2
 
9.5%
6 2
 
9.5%
0 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 1
33.3%
& 1
33.3%
. 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4874
92.5%
Common 332
 
6.3%
Latin 62
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 525
 
10.8%
개 364
 
7.5%
업 328
 
6.7%
인 306
 
6.3%
력 273
 
5.6%
직 262
 
5.4%
주 142
 
2.9%
발 108
 
2.2%
이 72
 
1.5%
정 64
 
1.3%
Other values (311) 2430
49.9%
Latin
ValueCountFrequency (%)
O 10
16.1%
I 8
12.9%
K 4
 
6.5%
R 4
 
6.5%
E 4
 
6.5%
T 4
 
6.5%
S 4
 
6.5%
B 4
 
6.5%
C 3
 
4.8%
J 3
 
4.8%
Other values (9) 14
22.6%
Common
ValueCountFrequency (%)
( 131
39.5%
) 131
39.5%
44
 
13.3%
1 6
 
1.8%
2 6
 
1.8%
8 4
 
1.2%
- 2
 
0.6%
9 2
 
0.6%
6 2
 
0.6%
0 1
 
0.3%
Other values (3) 3
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4873
92.5%
ASCII 394
 
7.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 525
 
10.8%
개 364
 
7.5%
업 328
 
6.7%
인 306
 
6.3%
력 273
 
5.6%
직 262
 
5.4%
주 142
 
2.9%
발 108
 
2.2%
이 72
 
1.5%
정 64
 
1.3%
Other values (310) 2429
49.8%
ASCII
ValueCountFrequency (%)
( 131
33.2%
) 131
33.2%
44
 
11.2%
O 10
 
2.5%
I 8
 
2.0%
1 6
 
1.5%
2 6
 
1.5%
K 4
 
1.0%
R 4
 
1.0%
E 4
 
1.0%
Other values (22) 46
 
11.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct741
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Minimum2003-05-14 16:52:07
Maximum2024-03-28 13:53:11
2024-04-18T00:01:19.299927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T00:01:19.620077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
I
497 
U
244 

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 497
67.1%
U 244
32.9%

Length

2024-04-18T00:01:19.718865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:01:19.808459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 497
67.1%
u 244
32.9%

데이터갱신일자
Date

Distinct179
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:08:00
2024-04-18T00:01:19.902879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T00:01:20.010512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing741
Missing (%)100.0%
Memory size6.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct496
Distinct (%)71.1%
Missing43
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean191112.26
Minimum121236.82
Maximum418262.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-18T00:01:20.117769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121236.82
5-th percentile184950.97
Q1189530.53
median189974.4
Q3190538.33
95-th percentile203908.01
Maximum418262.59
Range297025.77
Interquartile range (IQR)1007.7999

Descriptive statistics

Standard deviation13543.781
Coefficient of variation (CV)0.070868195
Kurtosis147.38606
Mean191112.26
Median Absolute Deviation (MAD)554.05245
Skewness9.8533858
Sum1.3339636 × 108
Variance1.8343401 × 108
MonotonicityNot monotonic
2024-04-18T00:01:20.222559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190295.141464557 9
 
1.2%
190410.047738361 9
 
1.2%
189874.02082279 8
 
1.1%
189065.067799932 7
 
0.9%
190550.965265298 7
 
0.9%
189875.531394769 6
 
0.8%
190479.902194476 6
 
0.8%
190432.886666667 5
 
0.7%
190541.558271971 5
 
0.7%
189863.962818107 5
 
0.7%
Other values (486) 631
85.2%
(Missing) 43
 
5.8%
ValueCountFrequency (%)
121236.817949 1
0.1%
144107.998188 1
0.1%
145326.276027 1
0.1%
166469.378450336 1
0.1%
171495.389583554 2
0.3%
171663.445719425 1
0.1%
173822.516443493 1
0.1%
173969.209346619 1
0.1%
173985.165405208 1
0.1%
174010.928587181 1
0.1%
ValueCountFrequency (%)
418262.589782463 1
0.1%
352553.932145142 1
0.1%
282962.020775 1
0.1%
265216.501704429 1
0.1%
244750.686014 1
0.1%
230513.013258771 1
0.1%
230369.57121 1
0.1%
226855.534390839 1
0.1%
221220.055330876 1
0.1%
218581.227599688 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct496
Distinct (%)71.1%
Missing43
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean439355.7
Minimum102102.2
Maximum483129.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-18T00:01:20.353827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum102102.2
5-th percentile436495.36
Q1442460.92
median442929.21
Q3443953.5
95-th percentile449042.62
Maximum483129.1
Range381026.9
Interquartile range (IQR)1492.5839

Descriptive statistics

Standard deviation31180.228
Coefficient of variation (CV)0.070968074
Kurtosis63.698154
Mean439355.7
Median Absolute Deviation (MAD)643.27542
Skewness-7.6907794
Sum3.0667028 × 108
Variance9.7220662 × 108
MonotonicityNot monotonic
2024-04-18T00:01:20.504032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443841.455440573 9
 
1.2%
443953.502895004 9
 
1.2%
442565.687334833 8
 
1.1%
444456.127223357 7
 
0.9%
443238.374433732 7
 
0.9%
442414.993677742 6
 
0.8%
442751.419539641 6
 
0.8%
443144.106666667 5
 
0.7%
443547.821727301 5
 
0.7%
442452.891623647 5
 
0.7%
Other values (486) 631
85.2%
(Missing) 43
 
5.8%
ValueCountFrequency (%)
102102.19713 1
0.1%
143692.420979 1
0.1%
144083.567347 1
0.1%
184984.418601 1
0.1%
185684.642667 1
0.1%
225722.929717 1
0.1%
258389.613314 1
0.1%
258628.82452 1
0.1%
260575.708158 1
0.1%
275168.075418 1
0.1%
ValueCountFrequency (%)
483129.096440038 1
0.1%
474615.515698681 1
0.1%
473454.182060402 1
0.1%
472044.185633638 1
0.1%
470670.096179762 1
0.1%
464295.628375287 1
0.1%
464092.187505065 1
0.1%
462742.702725113 1
0.1%
462265.082730583 1
0.1%
462160.580241591 1
0.1%

법인구분명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
개인
446 
<NA>
203 
법인
92 

Length

Max length4
Median length2
Mean length2.5479082
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 446
60.2%
<NA> 203
27.4%
법인 92
 
12.4%

Length

2024-04-18T00:01:20.646640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:01:20.737531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 446
60.2%
na 203
27.4%
법인 92
 
12.4%

구분명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
유료
538 
<NA>
203 

Length

Max length4
Median length2
Mean length2.5479082
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 538
72.6%
<NA> 203
 
27.4%

Length

2024-04-18T00:01:20.828995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:01:20.914126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 538
72.6%
na 203
 
27.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03160000198831600711150000119880101<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 반포동 70번지 1호 15통 6반 한신서래아파트 3 1110서울특별시 서초구 사평대로28길 31, 3동 1110호 (반포동,한신서래아파트)<NA>구로제2안내소2003-05-14 16:52:07I2018-08-31 23:59:59.0<NA>200008.448106444099.36302개인유료
13160000198931600711150000119891220<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>충청북도 충주시 연수동 686호 68통 1반 연수주공4단지아파트 401 1501충청북도 충주시 예성로 401, 401동 1501호 (연수동,연수주공4단지아파트)<NA>김승채직업소개소2003-05-15 10:55:14I2018-08-31 23:59:59.0<NA>282962.020775388276.723371개인유료
23160000198931600711150000219891220<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 733번지 22호 12통 7반 2층서울특별시 구로구 구로동로22길 15-1, 2층동 (구로동)<NA>김덕제직업안내소2006-03-15 16:47:49I2018-08-31 23:59:59.0<NA>189781.938533443048.570658개인유료
33160000198931600711150000319891220<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 646번지 184호 10통 4반서울특별시 관악구 난곡로24바길 27-19 (신림동)<NA>김동구직업소개소2003-05-14 17:34:26I2018-08-31 23:59:59.0<NA>193161.288231440675.50572개인유료
43160000198931600711150000419891206<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 남양주시 화도읍 마석우리 448번지 1호 2통 2반 마석대림아파트 103 502경기도 남양주시 화도읍 비룡로 110-17, 103동 502호 (마석대림아파트)<NA>구로제9직업안내소2003-05-15 10:48:11I2018-08-31 23:59:59.0<NA>226855.534391462265.082731개인유료
53160000198931600711150000619891201<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>전라북도 전주시완산구 중노송동 401번지 51호 8통 6반전라북도 전주시 완산구 견훤왕궁2길 17-12 (중노송동)<NA>구로제6유료직업소개소2003-05-14 17:29:54I2018-08-31 23:59:59.0<NA>213673.991747258628.82452개인유료
63160000198931600711150000719891226<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 1002호 11통 5반 진도아파트 101 702서울특별시 금천구 벚꽃로18길 36, 101동 702호 (독산동,진도아파트)<NA>구로제16유료직업소개소2003-05-15 10:28:31I2018-08-31 23:59:59.0<NA>190261.800634440629.728831개인유료
73160000199031600711150000119900911<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 70번지 25호서울특별시 영등포구 영등포로 411 (신길동)<NA>(주)기능인력개발2003-05-14 17:19:47I2018-08-31 23:59:59.0<NA>193197.914339445659.902064법인유료
83160000199031600711150000219900326<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 898번지 17호 36통 4반 금천아파트 302서울특별시 금천구 금하로14길 53-1, 302호 (시흥동,금천아파트)<NA>구로21유료직업소개소2003-05-14 17:28:37I2018-08-31 23:59:59.0<NA>191492.248063438767.071315개인유료
93160000199031600711150000319900220<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 486번지 247호 18통 1반 영진빌라 401서울특별시 강북구 인수봉로28나길 26, 401호 (수유동,영진빌라)<NA>구로제19유료직업소개소2003-05-20 11:43:57I2018-08-31 23:59:59.0<NA>201230.334663458554.909677개인유료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
731316000020233160160145000132023-07-18<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 808-43서울특별시 구로구 구로동로 73, 3층 (구로동)08318오성인력2023-07-18 09:09:57I2022-12-06 22:00:00.0<NA>189819.716738442574.131613<NA><NA>
732316000020233160160145000142023-07-24<NA>5제외/삭제/전출50타시군구이관2023-09-25<NA><NA><NA>15770609<NA><NA>서울특별시 구로구 가리봉동 88-18서울특별시 구로구 구로동로 25, 1층 (가리봉동)08322유진인력2023-09-25 15:30:59U2022-12-08 22:07:00.0<NA>189875.531395442414.993678<NA><NA>
733316000020233160160145000152023-07-28<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 120 대림2차우성아파트서울특별시 구로구 도림천로 344, 1층 (구로동, 대림2차우성아파트)08304서울취업정보2023-12-06 20:13:21U2022-11-02 00:08:00.0<NA>190541.558272443547.821727<NA><NA>
734316000020233160160145000172023-10-11<NA>1영업/정상20영업중<NA><NA><NA><NA>0263711238<NA><NA>서울특별시 구로구 구로동 811 코오롱싸이언스밸리2차서울특별시 구로구 디지털로34길 55, 코오롱싸이언스밸리2차 B201-171호 (구로동)08378커리어플랜(주)2023-10-11 09:08:43I2022-10-30 23:03:00.0<NA>191020.26443442460.919022<NA><NA>
735316000020233160160145000182023-10-27<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 148-13서울특별시 구로구 도림로23길 2, 6층 (구로동)08305잡코아직업소개소2024-03-11 11:32:54U2023-12-02 23:03:00.0<NA>190520.244841443218.072723<NA><NA>
736316000020233160160145000192023-11-07<NA>1영업/정상20영업중<NA><NA><NA><NA>028666800<NA><NA>서울특별시 구로구 구로동 155-75 3층서울특별시 구로구 도림로26길 10, 해맑은미소 3층 (구로동)08369주식회사 안민2023-11-08 09:38:23I2022-10-31 23:00:00.0<NA>190580.233113443203.223651<NA><NA>
737316000020243160160145000012024-01-08<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 188-25 지밸리비즈플라자서울특별시 구로구 디지털로 300, 지밸리비즈플라자 13층 1320호 (구로동)08379에이치알프로컨설팅2024-01-08 10:58:26I2023-11-30 23:00:00.0<NA>190779.824681442527.527967<NA><NA>
738316000020243160160145000022024-01-25<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 신도림동 433-24 힐스테이트 신도림역 센트럴서울특별시 구로구 경인로 625, 힐스테이트 신도림역 센트럴 527호 (신도림동)08210리암스글로벌에이전시2024-01-25 15:20:27I2023-11-30 22:07:00.0<NA>189727.214613444999.461908<NA><NA>
739316000020243160160145000032024-02-02<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 805-4서울특별시 구로구 도림로 5, 3층 (구로동)08320성원인력2024-02-02 15:07:46I2023-12-02 00:04:00.0<NA>189874.020823442565.687335<NA><NA>
740316000020243160160145000042024-03-28<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 3-25 신도림테크노마트서울특별시 구로구 새말로 97, 신도림테크노마트 3층 창001-2호 (구로동)08288드림가2024-03-28 13:53:11I2023-12-02 21:00:00.0<NA>190232.524534444978.682746<NA><NA>