Overview

Dataset statistics

Number of variables27
Number of observations299
Missing cells2289
Missing cells (%)28.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory67.0 KiB
Average record size in memory229.4 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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-20219/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 299 (100.0%) missing valuesMissing
폐업일자 has 106 (35.5%) missing valuesMissing
휴업시작일자 has 299 (100.0%) missing valuesMissing
휴업종료일자 has 299 (100.0%) missing valuesMissing
재개업일자 has 299 (100.0%) missing valuesMissing
전화번호 has 164 (54.8%) missing valuesMissing
소재지면적 has 299 (100.0%) missing valuesMissing
소재지우편번호 has 183 (61.2%) missing valuesMissing
지번주소 has 19 (6.4%) missing valuesMissing
도로명주소 has 7 (2.3%) missing valuesMissing
도로명우편번호 has 14 (4.7%) missing valuesMissing
업태구분명 has 299 (100.0%) 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 02:51:03.114480
Analysis finished2024-05-11 02:51:04.330930
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
3170000
299 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 299
100.0%

Length

2024-05-11T02:51:04.526902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:51:04.873024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 299
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct299
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0132133 × 1018
Minimum1.996317 × 1018
Maximum2.024317 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T02:51:05.163099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.996317 × 1018
5-th percentile2.001217 × 1018
Q12.005317 × 1018
median2.015317 × 1018
Q32.020317 × 1018
95-th percentile2.023317 × 1018
Maximum2.024317 × 1018
Range2.8000018 × 1016
Interquartile range (IQR)1.5000014 × 1016

Descriptive statistics

Standard deviation7.9730709 × 1015
Coefficient of variation (CV)0.0039603706
Kurtosis-1.3228626
Mean2.0132133 × 1018
Median Absolute Deviation (MAD)7.0000067 × 1015
Skewness-0.23223674
Sum-6.7917668 × 1018
Variance6.3569859 × 1031
MonotonicityStrictly increasing
2024-05-11T02:51:05.469727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1996317006611500001 1
 
0.3%
2019317018814500005 1
 
0.3%
2019317018814500002 1
 
0.3%
2019317018814500001 1
 
0.3%
2018317018814500020 1
 
0.3%
2018317018814500019 1
 
0.3%
2018317018814500018 1
 
0.3%
2018317018814500017 1
 
0.3%
2018317018814500016 1
 
0.3%
2018317018814500015 1
 
0.3%
Other values (289) 289
96.7%
ValueCountFrequency (%)
1996317006611500001 1
0.3%
1996317006611500002 1
0.3%
1996317006611500003 1
0.3%
1996317006611500004 1
0.3%
1999317006611500001 1
0.3%
1999317006611500002 1
0.3%
2000317006611500001 1
0.3%
2000317006611500002 1
0.3%
2000317006611500003 1
0.3%
2000317006611500004 1
0.3%
ValueCountFrequency (%)
2024317024914500016 1
0.3%
2024317024914500015 1
0.3%
2024317024914500014 1
0.3%
2024317024914500013 1
0.3%
2024317024914500011 1
0.3%
2024317024914500010 1
0.3%
2024317024914500009 1
0.3%
2024317024914500008 1
0.3%
2024317024914500007 1
0.3%
2024317024914500006 1
0.3%

인허가일자
Date

Distinct282
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum1993-05-18 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T02:51:05.894845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:51:06.290535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
3
183 
1
96 
5
 
14
4
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 183
61.2%
1 96
32.1%
5 14
 
4.7%
4 6
 
2.0%

Length

2024-05-11T02:51:06.687831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:51:07.003190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 183
61.2%
1 96
32.1%
5 14
 
4.7%
4 6
 
2.0%

영업상태명
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
폐업
183 
영업/정상
96 
제외/삭제/전출
 
14
취소/말소/만료/정지/중지
 
6

Length

Max length14
Median length2
Mean length3.4849498
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 183
61.2%
영업/정상 96
32.1%
제외/삭제/전출 14
 
4.7%
취소/말소/만료/정지/중지 6
 
2.0%

Length

2024-05-11T02:51:07.301797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:51:07.634557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 183
61.2%
영업/정상 96
32.1%
제외/삭제/전출 14
 
4.7%
취소/말소/만료/정지/중지 6
 
2.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
40
183 
20
96 
50
 
14
70
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
40 183
61.2%
20 96
32.1%
50 14
 
4.7%
70 6
 
2.0%

Length

2024-05-11T02:51:07.991169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:51:08.191422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 183
61.2%
20 96
32.1%
50 14
 
4.7%
70 6
 
2.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
폐업
183 
영업중
96 
타시군구이관
 
14
등록취소
 
6

Length

Max length6
Median length2
Mean length2.548495
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 183
61.2%
영업중 96
32.1%
타시군구이관 14
 
4.7%
등록취소 6
 
2.0%

Length

2024-05-11T02:51:08.527896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:51:08.832698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 183
61.2%
영업중 96
32.1%
타시군구이관 14
 
4.7%
등록취소 6
 
2.0%

폐업일자
Date

MISSING 

Distinct180
Distinct (%)93.3%
Missing106
Missing (%)35.5%
Memory size2.5 KiB
Minimum2000-03-16 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T02:51:09.363279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:51:09.709585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

전화번호
Text

MISSING 

Distinct130
Distinct (%)96.3%
Missing164
Missing (%)54.8%
Memory size2.5 KiB
2024-05-11T02:51:10.246215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.651852
Min length8

Characters and Unicode

Total characters1573
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

Unique126 ?
Unique (%)93.3%

Sample

1st row02 856 3434
2nd row02 869 3631
3rd row02 8665504
4th row02 8513800
5th row02 864 3311
ValueCountFrequency (%)
02 109
36.0%
891 7
 
2.3%
070 4
 
1.3%
0660 3
 
1.0%
802 3
 
1.0%
5992 3
 
1.0%
803 3
 
1.0%
861 3
 
1.0%
869 2
 
0.7%
031 2
 
0.7%
Other values (155) 164
54.1%
2024-05-11T02:51:11.268790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
298
18.9%
0 282
17.9%
2 221
14.0%
8 144
9.2%
5 101
 
6.4%
3 101
 
6.4%
6 97
 
6.2%
9 96
 
6.1%
1 91
 
5.8%
4 72
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1275
81.1%
Space Separator 298
 
18.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 282
22.1%
2 221
17.3%
8 144
11.3%
5 101
 
7.9%
3 101
 
7.9%
6 97
 
7.6%
9 96
 
7.5%
1 91
 
7.1%
4 72
 
5.6%
7 70
 
5.5%
Space Separator
ValueCountFrequency (%)
298
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1573
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
298
18.9%
0 282
17.9%
2 221
14.0%
8 144
9.2%
5 101
 
6.4%
3 101
 
6.4%
6 97
 
6.2%
9 96
 
6.1%
1 91
 
5.8%
4 72
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1573
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
298
18.9%
0 282
17.9%
2 221
14.0%
8 144
9.2%
5 101
 
6.4%
3 101
 
6.4%
6 97
 
6.2%
9 96
 
6.1%
1 91
 
5.8%
4 72
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)31.0%
Missing183
Missing (%)61.2%
Infinite0
Infinite (%)0.0%
Mean151151.34
Minimum0
Maximum153868
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T02:51:11.569005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile153755
Q1153801
median153812
Q3153839.5
95-th percentile153864
Maximum153868
Range153868
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation20107.644
Coefficient of variation (CV)0.13302987
Kurtosis55.425849
Mean151151.34
Median Absolute Deviation (MAD)13
Skewness-7.5145581
Sum17533556
Variance4.0431735 × 108
MonotonicityNot monotonic
2024-05-11T02:51:11.974258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
153801 15
 
5.0%
153806 8
 
2.7%
153859 7
 
2.3%
153823 7
 
2.3%
153800 6
 
2.0%
153755 6
 
2.0%
153820 5
 
1.7%
153864 4
 
1.3%
153762 4
 
1.3%
153812 4
 
1.3%
Other values (26) 50
 
16.7%
(Missing) 183
61.2%
ValueCountFrequency (%)
0 2
 
0.7%
153010 1
 
0.3%
153011 1
 
0.3%
153706 1
 
0.3%
153755 6
2.0%
153759 1
 
0.3%
153762 4
1.3%
153770 2
 
0.7%
153775 1
 
0.3%
153800 6
2.0%
ValueCountFrequency (%)
153868 1
 
0.3%
153867 2
 
0.7%
153864 4
1.3%
153863 1
 
0.3%
153861 1
 
0.3%
153859 7
2.3%
153858 2
 
0.7%
153857 3
1.0%
153856 3
1.0%
153855 3
1.0%

지번주소
Text

MISSING 

Distinct241
Distinct (%)86.1%
Missing19
Missing (%)6.4%
Memory size2.5 KiB
2024-05-11T02:51:12.499326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length27.496429
Min length13

Characters and Unicode

Total characters7699
Distinct characters178
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

Unique212 ?
Unique (%)75.7%

Sample

1st row서울특별시 금천구 시흥1동 882번지 23호
2nd row서울특별시 금천구 독산동 287-1
3rd row서울특별시 금천구 시흥1동 852번지 33호
4th row서울특별시 금천구 독산1동 288번지 6호
5th row서울특별시 금천구 독산4동 1030번지 2호
ValueCountFrequency (%)
서울특별시 277
 
17.7%
금천구 272
 
17.4%
가산동 104
 
6.6%
독산동 49
 
3.1%
1호 31
 
2.0%
시흥동 28
 
1.8%
독산3동 22
 
1.4%
시흥1동 20
 
1.3%
독산1동 18
 
1.1%
2호 13
 
0.8%
Other values (394) 732
46.7%
2024-05-11T02:51:13.558806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1300
 
16.9%
시 355
 
4.6%
1 353
 
4.6%
동 299
 
3.9%
구 282
 
3.7%
서 280
 
3.6%
천 277
 
3.6%
별 277
 
3.6%
울 277
 
3.6%
특 277
 
3.6%
Other values (168) 3722
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4576
59.4%
Decimal Number 1680
 
21.8%
Space Separator 1300
 
16.9%
Dash Punctuation 89
 
1.2%
Uppercase Letter 52
 
0.7%
Lowercase Letter 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 355
 
7.8%
동 299
 
6.5%
구 282
 
6.2%
서 280
 
6.1%
천 277
 
6.1%
별 277
 
6.1%
울 277
 
6.1%
특 277
 
6.1%
금 276
 
6.0%
호 244
 
5.3%
Other values (140) 1732
37.8%
Uppercase Letter
ValueCountFrequency (%)
T 11
21.2%
A 9
17.3%
I 7
13.5%
E 6
11.5%
R 4
 
7.7%
O 3
 
5.8%
W 2
 
3.8%
S 2
 
3.8%
B 2
 
3.8%
N 2
 
3.8%
Other values (4) 4
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 353
21.0%
0 209
12.4%
2 199
11.8%
3 195
11.6%
4 182
10.8%
9 146
8.7%
5 129
 
7.7%
8 95
 
5.7%
6 90
 
5.4%
7 82
 
4.9%
Space Separator
ValueCountFrequency (%)
1300
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4576
59.4%
Common 3070
39.9%
Latin 53
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 355
 
7.8%
동 299
 
6.5%
구 282
 
6.2%
서 280
 
6.1%
천 277
 
6.1%
별 277
 
6.1%
울 277
 
6.1%
특 277
 
6.1%
금 276
 
6.0%
호 244
 
5.3%
Other values (140) 1732
37.8%
Latin
ValueCountFrequency (%)
T 11
20.8%
A 9
17.0%
I 7
13.2%
E 6
11.3%
R 4
 
7.5%
O 3
 
5.7%
W 2
 
3.8%
S 2
 
3.8%
B 2
 
3.8%
N 2
 
3.8%
Other values (5) 5
9.4%
Common
ValueCountFrequency (%)
1300
42.3%
1 353
 
11.5%
0 209
 
6.8%
2 199
 
6.5%
3 195
 
6.4%
4 182
 
5.9%
9 146
 
4.8%
5 129
 
4.2%
8 95
 
3.1%
6 90
 
2.9%
Other values (3) 172
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4576
59.4%
ASCII 3123
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1300
41.6%
1 353
 
11.3%
0 209
 
6.7%
2 199
 
6.4%
3 195
 
6.2%
4 182
 
5.8%
9 146
 
4.7%
5 129
 
4.1%
8 95
 
3.0%
6 90
 
2.9%
Other values (18) 225
 
7.2%
Hangul
ValueCountFrequency (%)
시 355
 
7.8%
동 299
 
6.5%
구 282
 
6.2%
서 280
 
6.1%
천 277
 
6.1%
별 277
 
6.1%
울 277
 
6.1%
특 277
 
6.1%
금 276
 
6.0%
호 244
 
5.3%
Other values (140) 1732
37.8%

도로명주소
Text

MISSING 

Distinct245
Distinct (%)83.9%
Missing7
Missing (%)2.3%
Memory size2.5 KiB
2024-05-11T02:51:14.051116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length47
Mean length32.760274
Min length22

Characters and Unicode

Total characters9566
Distinct characters199
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique209 ?
Unique (%)71.6%

Sample

1st row서울특별시 금천구 시흥대로 252 (시흥동)
2nd row서울특별시 금천구 시흥대로 424, 3층 (독산동)
3rd row서울특별시 금천구 독산로 127 (시흥동)
4th row서울특별시 금천구 시흥대로 409 (독산동)
5th row서울특별시 금천구 시흥대로 376 (독산동)
ValueCountFrequency (%)
서울특별시 289
 
15.9%
금천구 284
 
15.6%
가산동 111
 
6.1%
독산동 109
 
6.0%
시흥대로 69
 
3.8%
시흥동 62
 
3.4%
가산디지털1로 39
 
2.1%
가산디지털2로 20
 
1.1%
3층 17
 
0.9%
독산로 16
 
0.9%
Other values (423) 801
44.1%
2024-05-11T02:51:15.019597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1525
 
15.9%
시 467
 
4.9%
산 344
 
3.6%
1 341
 
3.6%
동 322
 
3.4%
금 302
 
3.2%
서 300
 
3.1%
구 296
 
3.1%
) 293
 
3.1%
( 293
 
3.1%
Other values (189) 5083
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5567
58.2%
Decimal Number 1573
 
16.4%
Space Separator 1525
 
15.9%
Close Punctuation 293
 
3.1%
Open Punctuation 293
 
3.1%
Other Punctuation 201
 
2.1%
Uppercase Letter 60
 
0.6%
Dash Punctuation 52
 
0.5%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 467
 
8.4%
산 344
 
6.2%
동 322
 
5.8%
금 302
 
5.4%
서 300
 
5.4%
구 296
 
5.3%
천 290
 
5.2%
울 289
 
5.2%
별 289
 
5.2%
특 289
 
5.2%
Other values (158) 2379
42.7%
Uppercase Letter
ValueCountFrequency (%)
T 12
20.0%
A 10
16.7%
I 8
13.3%
E 7
11.7%
B 5
8.3%
R 4
 
6.7%
O 3
 
5.0%
N 2
 
3.3%
W 2
 
3.3%
S 2
 
3.3%
Other values (4) 5
8.3%
Decimal Number
ValueCountFrequency (%)
1 341
21.7%
2 242
15.4%
3 221
14.0%
0 180
11.4%
4 151
9.6%
6 102
 
6.5%
7 94
 
6.0%
9 89
 
5.7%
5 86
 
5.5%
8 67
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 200
99.5%
/ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1525
100.0%
Close Punctuation
ValueCountFrequency (%)
) 293
100.0%
Open Punctuation
ValueCountFrequency (%)
( 293
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5567
58.2%
Common 3937
41.2%
Latin 62
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 467
 
8.4%
산 344
 
6.2%
동 322
 
5.8%
금 302
 
5.4%
서 300
 
5.4%
구 296
 
5.3%
천 290
 
5.2%
울 289
 
5.2%
별 289
 
5.2%
특 289
 
5.2%
Other values (158) 2379
42.7%
Common
ValueCountFrequency (%)
1525
38.7%
1 341
 
8.7%
) 293
 
7.4%
( 293
 
7.4%
2 242
 
6.1%
3 221
 
5.6%
, 200
 
5.1%
0 180
 
4.6%
4 151
 
3.8%
6 102
 
2.6%
Other values (6) 389
 
9.9%
Latin
ValueCountFrequency (%)
T 12
19.4%
A 10
16.1%
I 8
12.9%
E 7
11.3%
B 5
8.1%
R 4
 
6.5%
O 3
 
4.8%
N 2
 
3.2%
W 2
 
3.2%
e 2
 
3.2%
Other values (5) 7
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5567
58.2%
ASCII 3999
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1525
38.1%
1 341
 
8.5%
) 293
 
7.3%
( 293
 
7.3%
2 242
 
6.1%
3 221
 
5.5%
, 200
 
5.0%
0 180
 
4.5%
4 151
 
3.8%
6 102
 
2.6%
Other values (21) 451
 
11.3%
Hangul
ValueCountFrequency (%)
시 467
 
8.4%
산 344
 
6.2%
동 322
 
5.8%
금 302
 
5.4%
서 300
 
5.4%
구 296
 
5.3%
천 290
 
5.2%
울 289
 
5.2%
별 289
 
5.2%
특 289
 
5.2%
Other values (158) 2379
42.7%

도로명우편번호
Text

MISSING 

Distinct105
Distinct (%)36.8%
Missing14
Missing (%)4.7%
Memory size2.5 KiB
2024-05-11T02:51:15.537580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4666667
Min length5

Characters and Unicode

Total characters1558
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

Unique54 ?
Unique (%)18.9%

Sample

1st row153857
2nd row08576
3rd row153856
4th row153812
5th row153821
ValueCountFrequency (%)
153801 17
 
6.0%
153823 11
 
3.9%
153806 11
 
3.9%
08505 10
 
3.5%
08589 9
 
3.2%
08504 8
 
2.8%
08531 8
 
2.8%
08501 7
 
2.5%
08506 7
 
2.5%
08639 7
 
2.5%
Other values (95) 190
66.7%
2024-05-11T02:51:16.543674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 298
19.1%
8 294
18.9%
0 273
17.5%
1 217
13.9%
3 185
11.9%
6 92
 
5.9%
2 63
 
4.0%
9 53
 
3.4%
7 45
 
2.9%
4 32
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1552
99.6%
Dash Punctuation 6
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 298
19.2%
8 294
18.9%
0 273
17.6%
1 217
14.0%
3 185
11.9%
6 92
 
5.9%
2 63
 
4.1%
9 53
 
3.4%
7 45
 
2.9%
4 32
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1558
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 298
19.1%
8 294
18.9%
0 273
17.5%
1 217
13.9%
3 185
11.9%
6 92
 
5.9%
2 63
 
4.0%
9 53
 
3.4%
7 45
 
2.9%
4 32
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1558
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 298
19.1%
8 294
18.9%
0 273
17.5%
1 217
13.9%
3 185
11.9%
6 92
 
5.9%
2 63
 
4.0%
9 53
 
3.4%
7 45
 
2.9%
4 32
 
2.1%

사업장명
Text

Distinct275
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-05-11T02:51:17.016165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length20
Mean length7.3812709
Min length2

Characters and Unicode

Total characters2207
Distinct characters282
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

Unique255 ?
Unique (%)85.3%

Sample

1st row(주)장미직업소개소
2nd row(주)동서인력개발
3rd row(주)진성인력직업소개소
4th row가나안직업소개소
5th row화성인력
ValueCountFrequency (%)
주식회사 25
 
7.0%
현대취업정보사 6
 
1.7%
직업소개소 3
 
0.8%
신화직업소개소 2
 
0.6%
대우인력개발 2
 
0.6%
컨설팅 2
 
0.6%
국제인력 2
 
0.6%
중앙직업소개업소 2
 
0.6%
이수인력 2
 
0.6%
모아인력개발 2
 
0.6%
Other values (296) 311
86.6%
2024-05-11T02:51:17.872762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 133
 
6.0%
인 115
 
5.2%
력 106
 
4.8%
개 93
 
4.2%
업 91
 
4.1%
주 74
 
3.4%
직 62
 
2.8%
60
 
2.7%
) 54
 
2.4%
( 52
 
2.4%
Other values (272) 1367
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1979
89.7%
Space Separator 60
 
2.7%
Close Punctuation 54
 
2.4%
Open Punctuation 52
 
2.4%
Uppercase Letter 47
 
2.1%
Lowercase Letter 11
 
0.5%
Decimal Number 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 133
 
6.7%
인 115
 
5.8%
력 106
 
5.4%
개 93
 
4.7%
업 91
 
4.6%
주 74
 
3.7%
직 62
 
3.1%
이 52
 
2.6%
사 47
 
2.4%
리 31
 
1.6%
Other values (239) 1175
59.4%
Uppercase Letter
ValueCountFrequency (%)
K 6
12.8%
H 5
10.6%
G 5
10.6%
S 4
 
8.5%
R 4
 
8.5%
O 4
 
8.5%
L 3
 
6.4%
T 2
 
4.3%
Y 2
 
4.3%
C 2
 
4.3%
Other values (9) 10
21.3%
Lowercase Letter
ValueCountFrequency (%)
o 3
27.3%
r 2
18.2%
f 1
 
9.1%
u 1
 
9.1%
a 1
 
9.1%
e 1
 
9.1%
s 1
 
9.1%
g 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1979
89.7%
Common 170
 
7.7%
Latin 58
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 133
 
6.7%
인 115
 
5.8%
력 106
 
5.4%
개 93
 
4.7%
업 91
 
4.6%
주 74
 
3.7%
직 62
 
3.1%
이 52
 
2.6%
사 47
 
2.4%
리 31
 
1.6%
Other values (239) 1175
59.4%
Latin
ValueCountFrequency (%)
K 6
 
10.3%
H 5
 
8.6%
G 5
 
8.6%
S 4
 
6.9%
R 4
 
6.9%
O 4
 
6.9%
L 3
 
5.2%
o 3
 
5.2%
T 2
 
3.4%
Y 2
 
3.4%
Other values (17) 20
34.5%
Common
ValueCountFrequency (%)
60
35.3%
) 54
31.8%
( 52
30.6%
1 2
 
1.2%
& 1
 
0.6%
2 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1979
89.7%
ASCII 228
 
10.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 133
 
6.7%
인 115
 
5.8%
력 106
 
5.4%
개 93
 
4.7%
업 91
 
4.6%
주 74
 
3.7%
직 62
 
3.1%
이 52
 
2.6%
사 47
 
2.4%
리 31
 
1.6%
Other values (239) 1175
59.4%
ASCII
ValueCountFrequency (%)
60
26.3%
) 54
23.7%
( 52
22.8%
K 6
 
2.6%
H 5
 
2.2%
G 5
 
2.2%
S 4
 
1.8%
R 4
 
1.8%
O 4
 
1.8%
L 3
 
1.3%
Other values (23) 31
13.6%

최종수정일자
Date

UNIQUE 

Distinct299
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2004-03-23 14:23:34
Maximum2024-05-09 18:04:46
2024-05-11T02:51:18.263268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:51:18.687410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
I
174 
U
125 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 174
58.2%
U 125
41.8%

Length

2024-05-11T02:51:19.097856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:51:19.477127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 174
58.2%
u 125
41.8%

데이터갱신일자
Date

Distinct126
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T02:51:19.817219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:51:20.218663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing299
Missing (%)100.0%
Memory size2.8 KiB

좌표정보(X)
Real number (ℝ)

Distinct173
Distinct (%)58.1%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean190786.35
Minimum184541.97
Maximum235263.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T02:51:20.654627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184541.97
5-th percentile189186.62
Q1189789.22
median190904.09
Q3191226.29
95-th percentile191794.39
Maximum235263.64
Range50721.666
Interquartile range (IQR)1437.0693

Descriptive statistics

Standard deviation2900.2806
Coefficient of variation (CV)0.015201719
Kurtosis189.20643
Mean190786.35
Median Absolute Deviation (MAD)577.58226
Skewness12.62605
Sum56854333
Variance8411627.5
MonotonicityNot monotonic
2024-05-11T02:51:21.140226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191226.287379467 12
 
4.0%
190932.076039993 8
 
2.7%
189202.600232089 8
 
2.7%
191699.444093031 7
 
2.3%
189055.138252216 7
 
2.3%
191013.682027481 6
 
2.0%
190864.865112181 5
 
1.7%
190929.073323915 4
 
1.3%
189700.026948955 4
 
1.3%
191794.387105728 4
 
1.3%
Other values (163) 233
77.9%
ValueCountFrequency (%)
184541.969433488 1
 
0.3%
189016.465808265 1
 
0.3%
189055.138252216 7
2.3%
189089.927764903 1
 
0.3%
189092.729912585 1
 
0.3%
189127.981104583 1
 
0.3%
189174.558570016 3
 
1.0%
189188.74756733 1
 
0.3%
189202.600232089 8
2.7%
189208.487613747 1
 
0.3%
ValueCountFrequency (%)
235263.635696 1
0.3%
204931.321765057 1
0.3%
198530.312460871 1
0.3%
193220.852226066 1
0.3%
192819.643609562 1
0.3%
192244.177101533 1
0.3%
192140.041201088 1
0.3%
191911.448935236 1
0.3%
191830.822273867 2
0.7%
191818.881263135 1
0.3%

좌표정보(Y)
Real number (ℝ)

Distinct173
Distinct (%)58.1%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean440527.05
Minimum312706.58
Maximum464508.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-05-11T02:51:21.551393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum312706.58
5-th percentile437914.06
Q1439622.66
median441229.11
Q3441836.99
95-th percentile442333.43
Maximum464508.95
Range151802.37
Interquartile range (IQR)2214.3227

Descriptive statistics

Standard deviation7740.982
Coefficient of variation (CV)0.017572092
Kurtosis252.77647
Mean440527.05
Median Absolute Deviation (MAD)716.58046
Skewness-15.12679
Sum1.3127706 × 108
Variance59922802
MonotonicityNot monotonic
2024-05-11T02:51:22.068233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
437914.06299827 12
 
4.0%
439328.50476394 8
 
2.7%
441848.24299943 8
 
2.7%
438736.219747535 7
 
2.3%
441958.334400683 7
 
2.3%
441003.614307903 6
 
2.0%
441425.010695372 5
 
1.7%
441639.582672272 4
 
1.3%
441229.110998601 4
 
1.3%
442013.609096475 4
 
1.3%
Other values (163) 233
77.9%
ValueCountFrequency (%)
312706.580076 1
 
0.3%
433040.255111752 1
 
0.3%
437604.855860153 1
 
0.3%
437626.290843064 1
 
0.3%
437914.06299827 12
4.0%
438395.806833518 1
 
0.3%
438736.219747535 7
2.3%
438752.06789134 1
 
0.3%
438755.559027712 1
 
0.3%
438766.981064195 1
 
0.3%
ValueCountFrequency (%)
464508.952781941 1
 
0.3%
457330.872374766 1
 
0.3%
446743.134358836 1
 
0.3%
444309.962788774 1
 
0.3%
442636.320100968 3
1.0%
442600.60467365 1
 
0.3%
442569.300676147 1
 
0.3%
442493.020182986 1
 
0.3%
442478.356256941 1
 
0.3%
442460.505542105 1
 
0.3%

법인구분명
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
개인
149 
<NA>
125 
법인
25 

Length

Max length4
Median length2
Mean length2.8361204
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 149
49.8%
<NA> 125
41.8%
법인 25
 
8.4%

Length

2024-05-11T02:51:22.584419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:51:22.941675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 149
49.8%
na 125
41.8%
법인 25
 
8.4%

구분명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
유료
174 
<NA>
125 

Length

Max length4
Median length2
Mean length2.8361204
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 174
58.2%
<NA> 125
41.8%

Length

2024-05-11T02:51:23.346044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:51:23.651347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 174
58.2%
na 125
41.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03170000199631700661150000119960618<NA>3폐업40폐업20000316<NA><NA><NA><NA><NA>153857서울특별시 금천구 시흥1동 882번지 23호서울특별시 금천구 시흥대로 252 (시흥동)153857(주)장미직업소개소2011-11-01 14:08:43I2018-08-31 23:59:59.0<NA>191111.210746439345.41865법인유료
1317000019963170066115000021996-12-27<NA>1영업/정상20영업중<NA><NA><NA><NA>02 856 3434<NA><NA>서울특별시 금천구 독산동 287-1서울특별시 금천구 시흥대로 424, 3층 (독산동)08576(주)동서인력개발2023-07-28 15:49:08U2022-12-06 21:00:00.0<NA>190960.289141441012.282523<NA><NA>
23170000199631700661150000319961221<NA>3폐업40폐업20040107<NA><NA><NA><NA><NA>153856서울특별시 금천구 시흥1동 852번지 33호서울특별시 금천구 독산로 127 (시흥동)153856(주)진성인력직업소개소2011-11-01 13:55:36I2018-08-31 23:59:59.0<NA>191520.327193439622.663307법인유료
33170000199631700661150000419960919<NA>3폐업40폐업20050502<NA><NA><NA><NA><NA>153812서울특별시 금천구 독산1동 288번지 6호서울특별시 금천구 시흥대로 409 (독산동)153812가나안직업소개소2011-11-01 14:02:53I2018-08-31 23:59:59.0<NA>190882.328667440895.71538개인유료
43170000199931700661150000119991008<NA>3폐업40폐업20040417<NA><NA><NA><NA><NA>153821서울특별시 금천구 독산4동 1030번지 2호서울특별시 금천구 시흥대로 376 (독산동)153821화성인력2011-11-01 13:50:47I2018-08-31 23:59:59.0<NA>190918.235874440552.314621개인유료
53170000199931700661150000219991123<NA>3폐업40폐업20041008<NA><NA><NA><NA><NA>153821서울특별시 금천구 독산4동 1012번지 15호서울특별시 금천구 시흥대로 392 (독산동)153821덕산인력소개소2011-11-01 13:47:32I2018-08-31 23:59:59.0<NA>190938.88578440702.228171개인유료
63170000200031700661150000120000210<NA>3폐업40폐업20090226<NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 145번지 2호 1통 5반 205서울특별시 금천구 시흥대로 485 (독산동)153806나나인력2013-06-27 17:02:15I2018-08-31 23:59:59.0<NA>190929.073324441639.582672개인유료
73170000200031700661150000220000415<NA>3폐업40폐업20050706<NA><NA><NA><NA><NA>153823서울특별시 금천구 독산3동 967번지 13호서울특별시 금천구 시흥대로 480 (독산동)153823태양인력직업소개소2011-11-01 13:38:00I2018-08-31 23:59:59.0<NA>191007.799659441581.42243개인유료
83170000200031700661150000320000601<NA>3폐업40폐업20040323<NA><NA><NA><NA><NA>153867서울특별시 금천구 독산2동 1077번지 37호서울특별시 금천구 시흥대로 274 (독산동)153867경진인력개발2011-11-01 13:32:49I2018-08-31 23:59:59.0<NA>191062.672709439560.344449개인유료
93170000200031700661150000420000818<NA>3폐업40폐업20011130<NA><NA><NA><NA><NA>153857서울특별시 금천구 시흥1동 882번지 23호서울특별시 금천구 시흥대로 252 (시흥동)153857세종인력2011-11-01 13:29:22I2018-08-31 23:59:59.0<NA>191111.210746439345.41865개인유료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
289317000020243170249145000062023-10-17<NA>1영업/정상20영업중<NA><NA><NA><NA>025353469<NA><NA>서울특별시 금천구 가산동 481-10 벽산/경인디지털밸리2 715호서울특별시 금천구 가산디지털2로 184, 벽산/경인디지털밸리2 715호 (가산동)08501아시아 솔루션2024-02-29 17:56:03I2023-12-03 00:02:00.0<NA>189127.981105442460.505542<NA><NA>
290317000020243170249145000072024-03-11<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 550-1 IT캐슬 2동 209호서울특별시 금천구 가산디지털2로 98, IT캐슬 2동 209호 (가산동)08506커리어위즈2024-03-11 10:06:36I2023-12-02 23:03:00.0<NA>189369.539625441629.361415<NA><NA>
291317000020243170249145000082021-08-03<NA>1영업/정상20영업중2024-03-05<NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 1093-4 한신아파트서울특별시 금천구 한내로 62, 2160호 (독산동, 한신아파트)08599최고취업2024-04-01 17:22:05U2023-12-04 00:03:00.0<NA>190023.426908439379.272867<NA><NA>
292317000020243170249145000092024-03-28<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 371-57 가산 더스카이밸리 1차 1403호서울특별시 금천구 가산디지털1로 142, 가산 더스카이밸리 1차 1403호 (가산동)08507(주)굿앤피플2024-04-24 17:22:37I2023-12-03 22:06:00.0<NA>189603.222917441801.135064<NA><NA>
293317000020243170249145000102023-04-19<NA>1영업/정상20영업중<NA><NA><NA><NA>07075373857<NA><NA>서울특별시 서초구 방배동 457-18서울특별시 서초구 방배천로2안길 96, 2층 (방배동)06677지케이글로벌(GK GLOBAL) 직업소개소2024-04-09 09:10:28U2023-12-03 23:01:00.0<NA>198530.312461442122.093652<NA><NA>
294317000020243170249145000112024-04-03<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 60-21 IT미래TOWER 303호서울특별시 금천구 디지털로9길 33, IT미래TOWER 303호 (가산동)08511파트너스포유 주식회사2024-04-24 17:19:50I2023-12-03 22:06:00.0<NA>189863.598209441870.904203<NA><NA>
295317000020243170249145000132024-04-11<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 459-24 O610호서울특별시 금천구 가산디지털2로 169-16, O610호 (가산동)08500브라이트써치2024-04-11 14:09:06I2023-12-03 23:03:00.0<NA>189016.465808442320.784167<NA><NA>
296317000020243170249145000142024-04-24<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 327-32 대륭테크노타운12차 224-2호서울특별시 금천구 가산디지털2로 14, 대륭테크노타운12차 224-2호 (가산동)08592(주)티원커리어2024-04-24 14:45:46I2023-12-03 22:06:00.0<NA>189686.475440870.092609<NA><NA>
297317000020243170249145000152024-05-02<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 109-1 무지개아파트 상가동 108호서울특별시 금천구 시흥대로73길 11, 상가동 108호 (시흥동, 무지개아파트)08613든든한파출부 금천구점2024-05-02 16:23:44I2023-12-05 00:04:00.0<NA>190932.07604439328.504764<NA><NA>
298317000020243170249145000162024-05-09<NA>1영업/정상20영업중<NA><NA><NA><NA>990262742836<NA><NA>서울특별시 금천구 가산동 371-41 가산 SK V1 CENTER 308호서울특별시 금천구 가산디지털1로 171, 가산 SK V1 CENTER 308호 (가산동)08503주식회사 코사솔루션2024-05-09 18:04:46I2023-12-04 23:01:00.0<NA>189378.332494442066.998665<NA><NA>