Overview

Dataset statistics

Number of variables27
Number of observations496
Missing cells4641
Missing cells (%)34.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory111.1 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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-20226/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 496 (100.0%) missing valuesMissing
폐업일자 has 325 (65.5%) missing valuesMissing
휴업시작일자 has 496 (100.0%) missing valuesMissing
휴업종료일자 has 496 (100.0%) missing valuesMissing
재개업일자 has 496 (100.0%) missing valuesMissing
전화번호 has 309 (62.3%) missing valuesMissing
소재지면적 has 496 (100.0%) missing valuesMissing
소재지우편번호 has 412 (83.1%) missing valuesMissing
지번주소 has 9 (1.8%) missing valuesMissing
도로명주소 has 276 (55.6%) missing valuesMissing
도로명우편번호 has 276 (55.6%) missing valuesMissing
업태구분명 has 496 (100.0%) missing valuesMissing
좌표정보(X) has 29 (5.8%) missing valuesMissing
좌표정보(Y) has 29 (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
소재지우편번호 has 12 (2.4%) zerosZeros

Reproduction

Analysis started2024-05-11 01:22:23.567676
Analysis finished2024-05-11 01:22:25.132464
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
3240000
496 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 496
100.0%

Length

2024-05-11T01:22:25.315789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:22:25.658231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 496
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct496
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0088664 × 1018
Minimum1.990324 × 1018
Maximum2.024324 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T01:22:26.168978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.990324 × 1018
5-th percentile1.995324 × 1018
Q12.003324 × 1018
median2.007324 × 1018
Q32.016324 × 1018
95-th percentile2.022324 × 1018
Maximum2.024324 × 1018
Range3.4000022 × 1016
Interquartile range (IQR)1.3000012 × 1016

Descriptive statistics

Standard deviation8.4273681 × 1015
Coefficient of variation (CV)0.0041950865
Kurtosis-0.92949841
Mean2.0088664 × 1018
Median Absolute Deviation (MAD)6.0000066 × 1015
Skewness0.065327128
Sum2.7353125 × 1017
Variance7.1020533 × 1031
MonotonicityStrictly increasing
2024-05-11T01:22:26.778847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1990324007311500001 1
 
0.2%
2012324017514500011 1
 
0.2%
2014324018914500006 1
 
0.2%
2014324018914500005 1
 
0.2%
2014324018914500004 1
 
0.2%
2014324018914500002 1
 
0.2%
2014324018914500001 1
 
0.2%
2013324018914500008 1
 
0.2%
2013324018914500007 1
 
0.2%
2013324018914500006 1
 
0.2%
Other values (486) 486
98.0%
ValueCountFrequency (%)
1990324007311500001 1
0.2%
1990324007311500002 1
0.2%
1990324007311500003 1
0.2%
1990324007311500004 1
0.2%
1992324007311500001 1
0.2%
1992324007311500002 1
0.2%
1992324007311500003 1
0.2%
1992324007311500004 1
0.2%
1992324007311500005 1
0.2%
1993324007311500001 1
0.2%
ValueCountFrequency (%)
2024324028914500005 1
0.2%
2024324028914500004 1
0.2%
2024324028914500003 1
0.2%
2024324028914500002 1
0.2%
2024324028914500001 1
0.2%
2023324028914500012 1
0.2%
2023324028914500011 1
0.2%
2023324028914500010 1
0.2%
2023324028914500009 1
0.2%
2023324028914500008 1
0.2%

인허가일자
Date

Distinct467
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum1990-05-07 00:00:00
Maximum2024-04-16 00:00:00
2024-05-11T01:22:27.408938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:22:27.993707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing496
Missing (%)100.0%
Memory size4.5 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
3
342 
1
127 
5
 
18
4
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 342
69.0%
1 127
 
25.6%
5 18
 
3.6%
4 9
 
1.8%

Length

2024-05-11T01:22:28.417501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:22:28.879159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 342
69.0%
1 127
 
25.6%
5 18
 
3.6%
4 9
 
1.8%

영업상태명
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
폐업
342 
영업/정상
127 
제외/삭제/전출
 
18
취소/말소/만료/정지/중지
 
9

Length

Max length14
Median length2
Mean length3.203629
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 342
69.0%
영업/정상 127
 
25.6%
제외/삭제/전출 18
 
3.6%
취소/말소/만료/정지/중지 9
 
1.8%

Length

2024-05-11T01:22:29.356155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:22:29.785261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 342
69.0%
영업/정상 127
 
25.6%
제외/삭제/전출 18
 
3.6%
취소/말소/만료/정지/중지 9
 
1.8%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
40
342 
20
127 
50
 
18
70
 
9

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
40 342
69.0%
20 127
 
25.6%
50 18
 
3.6%
70 9
 
1.8%

Length

2024-05-11T01:22:30.340271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:22:30.702691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 342
69.0%
20 127
 
25.6%
50 18
 
3.6%
70 9
 
1.8%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
폐업
342 
영업중
127 
타시군구이관
 
18
등록취소
 
9

Length

Max length6
Median length2
Mean length2.4375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 342
69.0%
영업중 127
 
25.6%
타시군구이관 18
 
3.6%
등록취소 9
 
1.8%

Length

2024-05-11T01:22:31.107327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:22:31.530519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 342
69.0%
영업중 127
 
25.6%
타시군구이관 18
 
3.6%
등록취소 9
 
1.8%

폐업일자
Date

MISSING 

Distinct167
Distinct (%)97.7%
Missing325
Missing (%)65.5%
Memory size4.0 KiB
Minimum2007-03-20 00:00:00
Maximum2024-04-22 00:00:00
2024-05-11T01:22:31.928136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:22:32.550923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing496
Missing (%)100.0%
Memory size4.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing496
Missing (%)100.0%
Memory size4.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing496
Missing (%)100.0%
Memory size4.5 KiB

전화번호
Text

MISSING 

Distinct180
Distinct (%)96.3%
Missing309
Missing (%)62.3%
Memory size4.0 KiB
2024-05-11T01:22:33.690770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.256684
Min length7

Characters and Unicode

Total characters2105
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

Unique173 ?
Unique (%)92.5%

Sample

1st row024748181
2nd row02 488 2220
3rd row02 489 1900
4th row02 475 5454
5th row02 488 2260
ValueCountFrequency (%)
02 143
31.2%
488 12
 
2.6%
477 11
 
2.4%
470 9
 
2.0%
474 8
 
1.7%
489 7
 
1.5%
483 6
 
1.3%
485 6
 
1.3%
478 6
 
1.3%
472 6
 
1.3%
Other values (203) 245
53.4%
2024-05-11T01:22:35.567816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
411
19.5%
0 311
14.8%
2 273
13.0%
4 237
11.3%
7 173
8.2%
8 165
7.8%
1 138
 
6.6%
5 123
 
5.8%
6 103
 
4.9%
3 89
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1694
80.5%
Space Separator 411
 
19.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 311
18.4%
2 273
16.1%
4 237
14.0%
7 173
10.2%
8 165
9.7%
1 138
8.1%
5 123
 
7.3%
6 103
 
6.1%
3 89
 
5.3%
9 82
 
4.8%
Space Separator
ValueCountFrequency (%)
411
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
411
19.5%
0 311
14.8%
2 273
13.0%
4 237
11.3%
7 173
8.2%
8 165
7.8%
1 138
 
6.6%
5 123
 
5.8%
6 103
 
4.9%
3 89
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
411
19.5%
0 311
14.8%
2 273
13.0%
4 237
11.3%
7 173
8.2%
8 165
7.8%
1 138
 
6.6%
5 123
 
5.8%
6 103
 
4.9%
3 89
 
4.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing496
Missing (%)100.0%
Memory size4.5 KiB

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct38
Distinct (%)45.2%
Missing412
Missing (%)83.1%
Infinite0
Infinite (%)0.0%
Mean119228.48
Minimum0
Maximum448160
Zeros12
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T01:22:36.168842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1134031
median134843
Q3134868
95-th percentile134893.15
Maximum448160
Range448160
Interquartile range (IQR)837

Descriptive statistics

Standard deviation59708.618
Coefficient of variation (CV)0.50079159
Kurtosis11.29244
Mean119228.48
Median Absolute Deviation (MAD)29.5
Skewness0.89967397
Sum10015192
Variance3.5651191 × 109
MonotonicityNot monotonic
2024-05-11T01:22:36.798470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 12
 
2.4%
134843 6
 
1.2%
134874 5
 
1.0%
134010 5
 
1.0%
134867 4
 
0.8%
134031 4
 
0.8%
134844 4
 
0.8%
134868 4
 
0.8%
134864 3
 
0.6%
134869 3
 
0.6%
Other values (28) 34
 
6.9%
(Missing) 412
83.1%
ValueCountFrequency (%)
0 12
2.4%
134010 5
1.0%
134012 1
 
0.2%
134024 1
 
0.2%
134031 4
 
0.8%
134032 1
 
0.2%
134033 1
 
0.2%
134062 1
 
0.2%
134777 1
 
0.2%
134785 1
 
0.2%
ValueCountFrequency (%)
448160 1
 
0.2%
138919 1
 
0.2%
134903 2
 
0.4%
134896 1
 
0.2%
134877 1
 
0.2%
134874 5
1.0%
134873 1
 
0.2%
134872 1
 
0.2%
134871 3
0.6%
134869 3
0.6%

지번주소
Text

MISSING 

Distinct457
Distinct (%)93.8%
Missing9
Missing (%)1.8%
Memory size4.0 KiB
2024-05-11T01:22:37.727145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length31.131417
Min length16

Characters and Unicode

Total characters15161
Distinct characters266
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

Unique436 ?
Unique (%)89.5%

Sample

1st row서울특별시 강동구 성내동 77번지 37호
2nd row서울특별시 강동구 명일동 334번지 12호 6통 3반
3rd row서울특별시 강동구 길동 347번지 58호 2통 8반
4th row경기도 구리시 교문동 808호 11통 덕현아파트 103 803
5th row경기도 구리시 인창동 474호 17통 8반 건영아파트 105 705
ValueCountFrequency (%)
서울특별시 427
 
12.9%
강동구 352
 
10.6%
천호동 100
 
3.0%
성내동 86
 
2.6%
1호 60
 
1.8%
길동 45
 
1.4%
경기도 43
 
1.3%
2층 40
 
1.2%
3반 32
 
1.0%
4반 31
 
0.9%
Other values (1002) 2105
63.4%
2024-05-11T01:22:39.666729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3123
20.6%
동 876
 
5.8%
1 688
 
4.5%
호 647
 
4.3%
2 544
 
3.6%
시 486
 
3.2%
4 476
 
3.1%
3 463
 
3.1%
구 463
 
3.1%
서 457
 
3.0%
Other values (256) 6938
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8232
54.3%
Decimal Number 3662
24.2%
Space Separator 3123
 
20.6%
Dash Punctuation 83
 
0.5%
Open Punctuation 24
 
0.2%
Close Punctuation 24
 
0.2%
Uppercase Letter 10
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 876
 
10.6%
호 647
 
7.9%
시 486
 
5.9%
구 463
 
5.6%
서 457
 
5.6%
울 430
 
5.2%
별 428
 
5.2%
특 427
 
5.2%
강 373
 
4.5%
지 360
 
4.4%
Other values (237) 3285
39.9%
Decimal Number
ValueCountFrequency (%)
1 688
18.8%
2 544
14.9%
4 476
13.0%
3 463
12.6%
0 415
11.3%
5 287
7.8%
7 208
 
5.7%
6 198
 
5.4%
9 192
 
5.2%
8 191
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
A 5
50.0%
C 2
 
20.0%
B 2
 
20.0%
E 1
 
10.0%
Space Separator
ValueCountFrequency (%)
3123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8232
54.3%
Common 6919
45.6%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 876
 
10.6%
호 647
 
7.9%
시 486
 
5.9%
구 463
 
5.6%
서 457
 
5.6%
울 430
 
5.2%
별 428
 
5.2%
특 427
 
5.2%
강 373
 
4.5%
지 360
 
4.4%
Other values (237) 3285
39.9%
Common
ValueCountFrequency (%)
3123
45.1%
1 688
 
9.9%
2 544
 
7.9%
4 476
 
6.9%
3 463
 
6.7%
0 415
 
6.0%
5 287
 
4.1%
7 208
 
3.0%
6 198
 
2.9%
9 192
 
2.8%
Other values (5) 325
 
4.7%
Latin
ValueCountFrequency (%)
A 5
50.0%
C 2
 
20.0%
B 2
 
20.0%
E 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8232
54.3%
ASCII 6929
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3123
45.1%
1 688
 
9.9%
2 544
 
7.9%
4 476
 
6.9%
3 463
 
6.7%
0 415
 
6.0%
5 287
 
4.1%
7 208
 
3.0%
6 198
 
2.9%
9 192
 
2.8%
Other values (9) 335
 
4.8%
Hangul
ValueCountFrequency (%)
동 876
 
10.6%
호 647
 
7.9%
시 486
 
5.9%
구 463
 
5.6%
서 457
 
5.6%
울 430
 
5.2%
별 428
 
5.2%
특 427
 
5.2%
강 373
 
4.5%
지 360
 
4.4%
Other values (237) 3285
39.9%

도로명주소
Text

MISSING 

Distinct208
Distinct (%)94.5%
Missing276
Missing (%)55.6%
Memory size4.0 KiB
2024-05-11T01:22:40.615238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length33.213636
Min length21

Characters and Unicode

Total characters7307
Distinct characters175
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique197 ?
Unique (%)89.5%

Sample

1st row서울특별시 강동구 올림픽로 630 (성내동, 양서빌딩)
2nd row서울특별시 강동구 천호대로 1023, 5층 (천호동)
3rd row서울특별시 강동구 구천면로 172, 2층 (천호동)
4th row서울특별시 강동구 구천면로 296, 2층 (천호동)
5th row서울특별시 강동구 천호대로 997, 3층 302호 (천호동)
ValueCountFrequency (%)
서울특별시 220
 
14.9%
강동구 216
 
14.7%
천호동 94
 
6.4%
성내동 68
 
4.6%
2층 55
 
3.7%
천호대로 48
 
3.3%
3층 42
 
2.9%
구천면로 26
 
1.8%
올림픽로 25
 
1.7%
길동 23
 
1.6%
Other values (352) 655
44.5%
2024-05-11T01:22:42.179455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1254
 
17.2%
동 449
 
6.1%
호 306
 
4.2%
1 269
 
3.7%
구 249
 
3.4%
, 231
 
3.2%
서 227
 
3.1%
2 225
 
3.1%
울 222
 
3.0%
시 221
 
3.0%
Other values (165) 3654
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4023
55.1%
Decimal Number 1330
 
18.2%
Space Separator 1254
 
17.2%
Other Punctuation 231
 
3.2%
Close Punctuation 219
 
3.0%
Open Punctuation 219
 
3.0%
Dash Punctuation 24
 
0.3%
Uppercase Letter 4
 
0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 449
 
11.2%
호 306
 
7.6%
구 249
 
6.2%
서 227
 
5.6%
울 222
 
5.5%
시 221
 
5.5%
별 221
 
5.5%
강 220
 
5.5%
특 220
 
5.5%
천 209
 
5.2%
Other values (144) 1479
36.8%
Decimal Number
ValueCountFrequency (%)
1 269
20.2%
2 225
16.9%
3 195
14.7%
0 165
12.4%
5 105
 
7.9%
7 102
 
7.7%
4 92
 
6.9%
6 78
 
5.9%
9 55
 
4.1%
8 44
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
A 1
25.0%
E 1
25.0%
C 1
25.0%
Space Separator
ValueCountFrequency (%)
1254
100.0%
Other Punctuation
ValueCountFrequency (%)
, 231
100.0%
Close Punctuation
ValueCountFrequency (%)
) 219
100.0%
Open Punctuation
ValueCountFrequency (%)
( 219
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4023
55.1%
Common 3278
44.9%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 449
 
11.2%
호 306
 
7.6%
구 249
 
6.2%
서 227
 
5.6%
울 222
 
5.5%
시 221
 
5.5%
별 221
 
5.5%
강 220
 
5.5%
특 220
 
5.5%
천 209
 
5.2%
Other values (144) 1479
36.8%
Common
ValueCountFrequency (%)
1254
38.3%
1 269
 
8.2%
, 231
 
7.0%
2 225
 
6.9%
) 219
 
6.7%
( 219
 
6.7%
3 195
 
5.9%
0 165
 
5.0%
5 105
 
3.2%
7 102
 
3.1%
Other values (6) 294
 
9.0%
Latin
ValueCountFrequency (%)
b 2
33.3%
B 1
16.7%
A 1
16.7%
E 1
16.7%
C 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4023
55.1%
ASCII 3284
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1254
38.2%
1 269
 
8.2%
, 231
 
7.0%
2 225
 
6.9%
) 219
 
6.7%
( 219
 
6.7%
3 195
 
5.9%
0 165
 
5.0%
5 105
 
3.2%
7 102
 
3.1%
Other values (11) 300
 
9.1%
Hangul
ValueCountFrequency (%)
동 449
 
11.2%
호 306
 
7.6%
구 249
 
6.2%
서 227
 
5.6%
울 222
 
5.5%
시 221
 
5.5%
별 221
 
5.5%
강 220
 
5.5%
특 220
 
5.5%
천 209
 
5.2%
Other values (144) 1479
36.8%

도로명우편번호
Text

MISSING 

Distinct103
Distinct (%)46.8%
Missing276
Missing (%)55.6%
Memory size4.0 KiB
2024-05-11T01:22:43.275921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2136364
Min length5

Characters and Unicode

Total characters1147
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

Unique59 ?
Unique (%)26.8%

Sample

1st row05378
2nd row05328
3rd row05248
4th row134-866
5th row05248
ValueCountFrequency (%)
05340 16
 
7.3%
05378 10
 
4.5%
05334 8
 
3.6%
05248 7
 
3.2%
05325 7
 
3.2%
05404 7
 
3.2%
05376 6
 
2.7%
05379 6
 
2.7%
05246 6
 
2.7%
05355 4
 
1.8%
Other values (93) 143
65.0%
2024-05-11T01:22:44.947437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 235
20.5%
5 223
19.4%
3 212
18.5%
4 128
11.2%
8 82
 
7.1%
1 70
 
6.1%
2 61
 
5.3%
7 57
 
5.0%
6 48
 
4.2%
9 27
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1143
99.7%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 235
20.6%
5 223
19.5%
3 212
18.5%
4 128
11.2%
8 82
 
7.2%
1 70
 
6.1%
2 61
 
5.3%
7 57
 
5.0%
6 48
 
4.2%
9 27
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1147
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 235
20.5%
5 223
19.4%
3 212
18.5%
4 128
11.2%
8 82
 
7.1%
1 70
 
6.1%
2 61
 
5.3%
7 57
 
5.0%
6 48
 
4.2%
9 27
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1147
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 235
20.5%
5 223
19.4%
3 212
18.5%
4 128
11.2%
8 82
 
7.1%
1 70
 
6.1%
2 61
 
5.3%
7 57
 
5.0%
6 48
 
4.2%
9 27
 
2.4%

사업장명
Text

Distinct432
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-05-11T01:22:45.796029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length25
Mean length7.8185484
Min length2

Characters and Unicode

Total characters3878
Distinct characters341
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique384 ?
Unique (%)77.4%

Sample

1st row(주)영생인력파출부
2nd row(주)양지직업소개소
3rd row(주)새마을직업소개소
4th row(주)명성복지직업소개소
5th row권오현직업소개소
ValueCountFrequency (%)
직업소개소 17
 
3.1%
주식회사 7
 
1.3%
대성직업소개소 4
 
0.7%
선진인력 4
 
0.7%
길동인력직업소개소 3
 
0.5%
현대조경인력 3
 
0.5%
대성골프직업소개소 3
 
0.5%
강동인력직업소개소 3
 
0.5%
소망직업소개소 3
 
0.5%
대한인력개발 3
 
0.5%
Other values (453) 503
91.0%
2024-05-11T01:22:47.252552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 511
 
13.2%
개 307
 
7.9%
업 273
 
7.0%
직 250
 
6.4%
인 204
 
5.3%
력 189
 
4.9%
주 65
 
1.7%
( 60
 
1.5%
) 60
 
1.5%
57
 
1.5%
Other values (331) 1902
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3580
92.3%
Open Punctuation 60
 
1.5%
Close Punctuation 60
 
1.5%
Space Separator 57
 
1.5%
Uppercase Letter 56
 
1.4%
Lowercase Letter 43
 
1.1%
Decimal Number 13
 
0.3%
Other Punctuation 5
 
0.1%
Math Symbol 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 511
 
14.3%
개 307
 
8.6%
업 273
 
7.6%
직 250
 
7.0%
인 204
 
5.7%
력 189
 
5.3%
주 65
 
1.8%
발 56
 
1.6%
동 53
 
1.5%
성 47
 
1.3%
Other values (280) 1625
45.4%
Uppercase Letter
ValueCountFrequency (%)
E 7
12.5%
K 6
 
10.7%
C 5
 
8.9%
O 4
 
7.1%
T 4
 
7.1%
S 4
 
7.1%
H 4
 
7.1%
A 3
 
5.4%
J 2
 
3.6%
M 2
 
3.6%
Other values (10) 15
26.8%
Lowercase Letter
ValueCountFrequency (%)
n 6
14.0%
t 5
11.6%
l 4
 
9.3%
a 3
 
7.0%
i 3
 
7.0%
o 3
 
7.0%
s 3
 
7.0%
u 2
 
4.7%
r 2
 
4.7%
m 2
 
4.7%
Other values (7) 10
23.3%
Decimal Number
ValueCountFrequency (%)
8 4
30.8%
2 3
23.1%
1 2
15.4%
3 2
15.4%
5 1
 
7.7%
0 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
& 2
40.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3581
92.3%
Common 198
 
5.1%
Latin 99
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 511
 
14.3%
개 307
 
8.6%
업 273
 
7.6%
직 250
 
7.0%
인 204
 
5.7%
력 189
 
5.3%
주 65
 
1.8%
발 56
 
1.6%
동 53
 
1.5%
성 47
 
1.3%
Other values (281) 1626
45.4%
Latin
ValueCountFrequency (%)
E 7
 
7.1%
K 6
 
6.1%
n 6
 
6.1%
C 5
 
5.1%
t 5
 
5.1%
O 4
 
4.0%
T 4
 
4.0%
S 4
 
4.0%
H 4
 
4.0%
l 4
 
4.0%
Other values (27) 50
50.5%
Common
ValueCountFrequency (%)
( 60
30.3%
) 60
30.3%
57
28.8%
8 4
 
2.0%
. 3
 
1.5%
2 3
 
1.5%
& 2
 
1.0%
+ 2
 
1.0%
1 2
 
1.0%
3 2
 
1.0%
Other values (3) 3
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3580
92.3%
ASCII 297
 
7.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 511
 
14.3%
개 307
 
8.6%
업 273
 
7.6%
직 250
 
7.0%
인 204
 
5.7%
력 189
 
5.3%
주 65
 
1.8%
발 56
 
1.6%
동 53
 
1.5%
성 47
 
1.3%
Other values (280) 1625
45.4%
ASCII
ValueCountFrequency (%)
( 60
20.2%
) 60
20.2%
57
19.2%
E 7
 
2.4%
K 6
 
2.0%
n 6
 
2.0%
C 5
 
1.7%
t 5
 
1.7%
O 4
 
1.3%
T 4
 
1.3%
Other values (40) 83
27.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct496
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2002-12-16 13:07:10
Maximum2024-05-09 14:01:04
2024-05-11T01:22:47.731539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:22:48.302288image/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 size4.0 KiB
I
337 
U
159 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 337
67.9%
U 159
32.1%

Length

2024-05-11T01:22:48.839353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:22:49.396629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 337
67.9%
u 159
32.1%

데이터갱신일자
Date

Distinct159
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:01:00
2024-05-11T01:22:49.878410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:22:50.558745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing496
Missing (%)100.0%
Memory size4.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct347
Distinct (%)74.3%
Missing29
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean212091.79
Minimum167677.58
Maximum406221.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T01:22:51.198838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum167677.58
5-th percentile197708.19
Q1210871.29
median211542.31
Q3212169.86
95-th percentile215174.37
Maximum406221.95
Range238544.36
Interquartile range (IQR)1298.5683

Descriptive statistics

Standard deviation17402.011
Coefficient of variation (CV)0.082049433
Kurtosis75.567769
Mean212091.79
Median Absolute Deviation (MAD)667.73473
Skewness7.6926689
Sum99046868
Variance3.0283 × 108
MonotonicityNot monotonic
2024-05-11T01:22:51.888887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211542.314116941 18
 
3.6%
210845.844797087 6
 
1.2%
212058.101635733 6
 
1.2%
210630.209443525 4
 
0.8%
212035.001621141 4
 
0.8%
211677.522962949 4
 
0.8%
210913.143235146 4
 
0.8%
211545.633156978 4
 
0.8%
212027.481158905 4
 
0.8%
211303.930481138 4
 
0.8%
Other values (337) 409
82.5%
(Missing) 29
 
5.8%
ValueCountFrequency (%)
167677.583672822 1
0.2%
173731.20498856 1
0.2%
176048.361808372 1
0.2%
179377.05694409 1
0.2%
180076.785938144 1
0.2%
184942.768393538 1
0.2%
185225.14520955 1
0.2%
187566.165 1
0.2%
187797.525601019 1
0.2%
188012.804745161 1
0.2%
ValueCountFrequency (%)
406221.945183213 1
0.2%
392606.678591242 1
0.2%
366166.636736451 1
0.2%
334873.400608 1
0.2%
265612.056468124 1
0.2%
264190.217543968 1
0.2%
263796.347508 1
0.2%
253304.378951963 1
0.2%
244672.856597882 1
0.2%
239389.447889 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct347
Distinct (%)74.3%
Missing29
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean444903.88
Minimum139015.56
Maximum483263.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-11T01:22:52.395904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum139015.56
5-th percentile441519.22
Q1447776.42
median448382.34
Q3449168.53
95-th percentile456660.49
Maximum483263.89
Range344248.32
Interquartile range (IQR)1392.1127

Descriptive statistics

Standard deviation28545.944
Coefficient of variation (CV)0.064162047
Kurtosis63.313333
Mean444903.88
Median Absolute Deviation (MAD)714.26407
Skewness-7.6356438
Sum2.0777011 × 108
Variance8.1487092 × 108
MonotonicityNot monotonic
2024-05-11T01:22:53.084677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448273.114107211 18
 
3.6%
448679.382603258 6
 
1.2%
447981.73419896 6
 
1.2%
447629.137289394 4
 
0.8%
447985.957150755 4
 
0.8%
449214.326662671 4
 
0.8%
448848.00959963 4
 
0.8%
448980.321267576 4
 
0.8%
446598.591776331 4
 
0.8%
447040.199691324 4
 
0.8%
Other values (337) 409
82.5%
(Missing) 29
 
5.8%
ValueCountFrequency (%)
139015.562947 1
 
0.2%
186382.301470366 1
 
0.2%
230998.949191966 1
 
0.2%
237941.445559813 1
 
0.2%
256334.726827 1
 
0.2%
257262.149526 1
 
0.2%
313346.112164 1
 
0.2%
315073.923017 1
 
0.2%
396381.227054513 3
0.6%
420067.280528285 1
 
0.2%
ValueCountFrequency (%)
483263.886828912 1
0.2%
480043.425931918 1
0.2%
474003.881004597 1
0.2%
472652.652551911 1
0.2%
472179.57110473 1
0.2%
472064.110764543 1
0.2%
469851.110547134 1
0.2%
465436.601300752 1
0.2%
462829.18165682 1
0.2%
462580.526886982 1
0.2%

법인구분명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
개인
347 
<NA>
100 
법인
49 

Length

Max length4
Median length2
Mean length2.4032258
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 347
70.0%
<NA> 100
 
20.2%
법인 49
 
9.9%

Length

2024-05-11T01:22:53.688317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:22:54.098048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 347
70.0%
na 100
 
20.2%
법인 49
 
9.9%

구분명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
유료
396 
<NA>
100 

Length

Max length4
Median length2
Mean length2.4032258
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 396
79.8%
<NA> 100
 
20.2%

Length

2024-05-11T01:22:54.567212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:22:55.035512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 396
79.8%
na 100
 
20.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
0324000019903240073115000011990-05-07<NA>1영업/정상20영업중<NA><NA><NA><NA>024748181<NA><NA>서울특별시 강동구 성내동 77번지 37호서울특별시 강동구 올림픽로 630 (성내동, 양서빌딩)05378(주)영생인력파출부2023-06-08 09:48:59U2022-12-05 23:00:00.0<NA>210844.240429448403.757981<NA><NA>
13240000199032400731150000219900730<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 명일동 334번지 12호 6통 3반<NA><NA>(주)양지직업소개소2006-12-18 15:46:52I2018-08-31 23:59:59.0<NA>212677.290122449675.623168법인유료
23240000199032400731150000319900829<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 347번지 58호 2통 8반<NA><NA>(주)새마을직업소개소2002-12-26 10:31:43I2018-08-31 23:59:59.0<NA>212546.384916448788.755373법인유료
33240000199032400731150000419900824<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 구리시 교문동 808호 11통 덕현아파트 103 803<NA><NA>(주)명성복지직업소개소2002-12-27 10:50:43I2018-08-31 23:59:59.0<NA>211732.000146454218.547394법인유료
43240000199232400731150000119921231<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 구리시 인창동 474호 17통 8반 건영아파트 105 705<NA><NA>권오현직업소개소2003-12-30 13:32:37I2018-08-31 23:59:59.0<NA>212001.293193456684.487538개인유료
5324000019923240073115000021992-11-26<NA>1영업/정상20영업중<NA><NA><NA><NA>02 488 2220<NA><NA>서울특별시 강동구 천호동 454번지 14호 5층서울특별시 강동구 천호대로 1023, 5층 (천호동)05328이화파출부 직업소개소2023-11-27 15:16:23U2022-10-31 22:09:00.0<NA>211062.151991448443.250614<NA><NA>
63240000199232400731150000319921006<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 320번지 16호 5통 10반 상계아트빌라 201<NA><NA>(주)민예기획2002-12-26 15:27:19I2018-08-31 23:59:59.0<NA>206080.674644461367.464153법인유료
73240000199232400731150000419921102<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>인천광역시 서구 마전동 639호 22통 3반 영남탑스빌아파트 114 402<NA><NA>(주)상국취업정보2002-12-26 17:26:16I2018-08-31 23:59:59.0<NA><NA><NA>법인유료
83240000199232400731150000519921124<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 평택시 서정동 827호 42통 4반 서정마을금호타운 104 309<NA><NA>남천봉직업안내소2002-12-26 18:03:14I2018-08-31 23:59:59.0<NA>204995.173869396381.227055개인유료
93240000199332400731150000119931122<NA>3폐업40폐업20210719<NA><NA><NA>02 489 1900<NA><NA>서울특별시 강동구 천호동 457번지 12호 2층서울특별시 강동구 구천면로 172, 2층 (천호동)05248(주)동서울직업소개소2021-07-19 17:31:33U2021-07-21 02:40:00.0<NA>210863.545127448796.779178법인유료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
486324000020233240289145000082020-09-08<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1600-11 서초레몬서울특별시 서초구 서초중앙로 45, 서초레몬 1109호 (서초동)06654로지웍스2023-08-14 12:55:51U2022-12-07 23:07:00.0<NA>201296.398171442621.276122<NA><NA>
487324000020233240289145000092023-09-27<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 319-33 홍익빌딩서울특별시 강동구 올림픽로 552, 홍익빌딩 2층 201-1호 (성내동)05391동양한실장직업소개소2024-01-18 13:08:35U2023-11-30 22:00:00.0<NA>210630.209444447629.137289<NA><NA>
488324000020233240289145000102023-10-10<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 449-49 힐탑프라자서울특별시 강동구 천호대로 1073, 힐탑프라자 15층 1509호 (천호동)05340베르겐컨설팅2023-10-10 11:09:41I2022-10-30 23:02:00.0<NA>211542.314117448273.114107<NA><NA>
489324000020233240289145000112023-11-15<NA>1영업/정상20영업중<NA><NA><NA><NA>024425311<NA><NA>서울특별시 강동구 암사동 496-31서울특별시 강동구 상암로 53-7, b1층 101호 (암사동)05264개미인력 강동암사점2023-11-17 15:48:36U2022-10-31 23:09:00.0<NA>211358.991842449722.888947<NA><NA>
490324000020233240289145000122020-12-29<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 449-49 힐탑프라자서울특별시 강동구 천호대로 1073, 힐탑프라자 5층 522호 (천호동)05340(주)커리어플렉스2023-12-15 15:00:56U2022-11-01 23:07:00.0<NA>211542.314117448273.114107<NA><NA>
491324000020243240289145000012024-01-03<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 228-9 미진빌딩서울특별시 강동구 천호대로 1187, 미진빌딩 B102호 (길동)05350한국종합인력개발2024-01-03 17:26:14I2023-12-01 00:05:00.0<NA>212561.16595448051.42411<NA><NA>
492324000020243240289145000022024-01-22<NA>1영업/정상20영업중<NA><NA><NA><NA>024781591<NA><NA>서울특별시 강동구 천호동 432-10 쌍용플래티넘리버서울특별시 강동구 올림픽로 659, 쌍용플래티넘리버 14층 1415호 (천호동)05248(주)다온인더스트리2024-01-23 10:12:13I2023-11-30 22:05:00.0<NA>210845.844797448679.382603<NA><NA>
493324000020243240289145000032024-03-07<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 30-1서울특별시 강동구 천호옛14길 22, 303호 (성내동)05384소망인력2024-03-07 11:42:05I2023-12-03 00:09:00.0<NA>211128.052826448204.131255<NA><NA>
494324000020243240289145000042024-03-27<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 458-3 천호역 한강 청년주택서울특별시 강동구 천호대로 989, 2층 203호 (천호동, 천호역 한강 청년주택)05248에프엠 에이치알(FM HR)2024-03-27 13:33:46I2023-12-02 22:09:00.0<NA>210747.029242448585.11433<NA><NA>
495324000020243240289145000052024-04-16<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 454-1 일성하이츠오피스텔서울특별시 강동구 천호대로 1121, 일성하이츠오피스텔 203호 (길동)05355월드인력2024-04-16 13:03:55I2023-12-03 23:08:00.0<NA>211980.248326448111.060278<NA><NA>