Overview

Dataset statistics

Number of variables27
Number of observations225
Missing cells1936
Missing cells (%)31.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory50.4 KiB
Average record size in memory229.6 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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-20213/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 225 (100.0%) missing valuesMissing
폐업일자 has 117 (52.0%) missing valuesMissing
휴업시작일자 has 225 (100.0%) missing valuesMissing
휴업종료일자 has 225 (100.0%) missing valuesMissing
재개업일자 has 225 (100.0%) missing valuesMissing
전화번호 has 142 (63.1%) missing valuesMissing
소재지면적 has 225 (100.0%) missing valuesMissing
소재지우편번호 has 172 (76.4%) missing valuesMissing
지번주소 has 7 (3.1%) missing valuesMissing
도로명주소 has 21 (9.3%) missing valuesMissing
도로명우편번호 has 107 (47.6%) missing valuesMissing
업태구분명 has 225 (100.0%) missing valuesMissing
좌표정보(X) has 10 (4.4%) missing valuesMissing
좌표정보(Y) has 10 (4.4%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 has 5 (2.2%) zerosZeros

Reproduction

Analysis started2024-04-29 20:07:08.365706
Analysis finished2024-04-29 20:07:09.137646
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
3110000
225 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 225
100.0%

Length

2024-04-30T05:07:09.205891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:07:09.282186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 225
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct225
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.010151 × 1018
Minimum1.989311 × 1018
Maximum2.024311 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-30T05:07:09.376373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.989311 × 1018
5-th percentile2.000311 × 1018
Q12.004311 × 1018
median2.008311 × 1018
Q32.017311 × 1018
95-th percentile2.022311 × 1018
Maximum2.024311 × 1018
Range3.5000013 × 1016
Interquartile range (IQR)1.3000006 × 1016

Descriptive statistics

Standard deviation7.6129164 × 1015
Coefficient of variation (CV)0.0037872361
Kurtosis-0.84320015
Mean2.010151 × 1018
Median Absolute Deviation (MAD)6.0000023 × 1015
Skewness0.12291922
Sum-8.884624 × 1018
Variance5.7956496 × 1031
MonotonicityStrictly increasing
2024-04-30T05:07:09.518489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1989311008811500001 1
 
0.4%
2017311013114500002 1
 
0.4%
2013311015514500003 1
 
0.4%
2013311015514500004 1
 
0.4%
2013311015514500005 1
 
0.4%
2013311015514500007 1
 
0.4%
2014311015514500001 1
 
0.4%
2014311015514500003 1
 
0.4%
2014311015514500005 1
 
0.4%
2014311015514500006 1
 
0.4%
Other values (215) 215
95.6%
ValueCountFrequency (%)
1989311008811500001 1
0.4%
1990311008811500001 1
0.4%
1991311008811500001 1
0.4%
1996311008811500001 1
0.4%
1998311008811500001 1
0.4%
1999311008811500001 1
0.4%
1999311008811500002 1
0.4%
2000311008811500001 1
0.4%
2000311008811500002 1
0.4%
2000311008811500003 1
0.4%
ValueCountFrequency (%)
2024311021714500004 1
0.4%
2024311021714500003 1
0.4%
2024311021714500002 1
0.4%
2023311021714500008 1
0.4%
2023311021714500006 1
0.4%
2023311021714500005 1
0.4%
2023311021714500004 1
0.4%
2023311021714500003 1
0.4%
2023311021714500002 1
0.4%
2023311021714500001 1
0.4%

인허가일자
Date

Distinct202
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum1989-01-17 00:00:00
Maximum2024-04-02 00:00:00
2024-04-30T05:07:09.636316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:07:09.756664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
3
167 
1
45 
5
 
9
4
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 167
74.2%
1 45
 
20.0%
5 9
 
4.0%
4 4
 
1.8%

Length

2024-04-30T05:07:09.868379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:07:09.963844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 167
74.2%
1 45
 
20.0%
5 9
 
4.0%
4 4
 
1.8%

영업상태명
Categorical

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
폐업
167 
영업/정상
45 
제외/삭제/전출
 
9
취소/말소/만료/정지/중지
 
4

Length

Max length14
Median length2
Mean length3.0533333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 167
74.2%
영업/정상 45
 
20.0%
제외/삭제/전출 9
 
4.0%
취소/말소/만료/정지/중지 4
 
1.8%

Length

2024-04-30T05:07:10.062259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:07:10.156659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 167
74.2%
영업/정상 45
 
20.0%
제외/삭제/전출 9
 
4.0%
취소/말소/만료/정지/중지 4
 
1.8%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
40
167 
20
45 
50
 
9
70
 
4

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
40 167
74.2%
20 45
 
20.0%
50 9
 
4.0%
70 4
 
1.8%

Length

2024-04-30T05:07:10.252537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:07:10.335023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 167
74.2%
20 45
 
20.0%
50 9
 
4.0%
70 4
 
1.8%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
폐업
167 
영업중
45 
타시군구이관
 
9
등록취소
 
4

Length

Max length6
Median length2
Mean length2.3955556
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 167
74.2%
영업중 45
 
20.0%
타시군구이관 9
 
4.0%
등록취소 4
 
1.8%

Length

2024-04-30T05:07:10.437643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:07:10.547962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 167
74.2%
영업중 45
 
20.0%
타시군구이관 9
 
4.0%
등록취소 4
 
1.8%

폐업일자
Date

MISSING 

Distinct106
Distinct (%)98.1%
Missing117
Missing (%)52.0%
Memory size1.9 KiB
Minimum2007-04-23 00:00:00
Maximum2024-04-11 00:00:00
2024-04-30T05:07:10.655734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:07:10.768832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

전화번호
Text

MISSING 

Distinct80
Distinct (%)96.4%
Missing142
Missing (%)63.1%
Memory size1.9 KiB
2024-04-30T05:07:10.982241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.843373
Min length8

Characters and Unicode

Total characters983
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

Unique78 ?
Unique (%)94.0%

Sample

1st row02 355 4199
2nd row02 382 5254
3rd row02 383 0057
4th row02 384 0500
5th row02 383 1252
ValueCountFrequency (%)
02 71
31.3%
352 7
 
3.1%
388 7
 
3.1%
356 7
 
3.1%
070 6
 
2.6%
353 5
 
2.2%
385 4
 
1.8%
304 4
 
1.8%
9295 3
 
1.3%
383 3
 
1.3%
Other values (100) 110
48.5%
2024-04-30T05:07:11.335786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
216
22.0%
0 148
15.1%
2 129
13.1%
3 100
10.2%
5 90
9.2%
8 77
 
7.8%
7 51
 
5.2%
9 48
 
4.9%
4 45
 
4.6%
6 41
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 767
78.0%
Space Separator 216
 
22.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 148
19.3%
2 129
16.8%
3 100
13.0%
5 90
11.7%
8 77
10.0%
7 51
 
6.6%
9 48
 
6.3%
4 45
 
5.9%
6 41
 
5.3%
1 38
 
5.0%
Space Separator
ValueCountFrequency (%)
216
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 983
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
216
22.0%
0 148
15.1%
2 129
13.1%
3 100
10.2%
5 90
9.2%
8 77
 
7.8%
7 51
 
5.2%
9 48
 
4.9%
4 45
 
4.6%
6 41
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 983
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
216
22.0%
0 148
15.1%
2 129
13.1%
3 100
10.2%
5 90
9.2%
8 77
 
7.8%
7 51
 
5.2%
9 48
 
4.9%
4 45
 
4.6%
6 41
 
4.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)37.7%
Missing172
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean110594.28
Minimum0
Maximum122919
Zeros5
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-30T05:07:11.449401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1122020
median122030
Q3122050
95-th percentile122885.6
Maximum122919
Range122919
Interquartile range (IQR)30

Descriptive statistics

Standard deviation36037.251
Coefficient of variation (CV)0.32585094
Kurtosis6.4020874
Mean110594.28
Median Absolute Deviation (MAD)20
Skewness-2.8566991
Sum5861497
Variance1.2986834 × 109
MonotonicityNot monotonic
2024-04-30T05:07:11.543221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
122030 13
 
5.8%
122020 7
 
3.1%
0 5
 
2.2%
122040 4
 
1.8%
122050 4
 
1.8%
122010 4
 
1.8%
122070 3
 
1.3%
122891 1
 
0.4%
122011 1
 
0.4%
122090 1
 
0.4%
Other values (10) 10
 
4.4%
(Missing) 172
76.4%
ValueCountFrequency (%)
0 5
 
2.2%
120722 1
 
0.4%
122010 4
 
1.8%
122011 1
 
0.4%
122020 7
3.1%
122030 13
5.8%
122040 4
 
1.8%
122042 1
 
0.4%
122050 4
 
1.8%
122051 1
 
0.4%
ValueCountFrequency (%)
122919 1
 
0.4%
122900 1
 
0.4%
122891 1
 
0.4%
122882 1
 
0.4%
122861 1
 
0.4%
122808 1
 
0.4%
122100 1
 
0.4%
122090 1
 
0.4%
122080 1
 
0.4%
122070 3
1.3%

지번주소
Text

MISSING 

Distinct208
Distinct (%)95.4%
Missing7
Missing (%)3.1%
Memory size1.9 KiB
2024-04-30T05:07:11.807150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length28.348624
Min length17

Characters and Unicode

Total characters6180
Distinct characters180
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique201 ?
Unique (%)92.2%

Sample

1st row경기도 광주시 오포읍 신현리 727번지 12호 4통 오성주택 201
2nd row서울특별시 은평구 대조동 179번지 49호 2층
3rd row서울특별시 은평구 응암동 36호 4통 2반 녹번빌라 203
4th row서울특별시 마포구 도화동 564번지 3통 8반 마포동원베네스트 103동 603호
5th row서울특별시 은평구 불광동 281번지 104호
ValueCountFrequency (%)
서울특별시 199
 
14.4%
은평구 177
 
12.8%
불광동 36
 
2.6%
대조동 36
 
2.6%
응암동 29
 
2.1%
2층 28
 
2.0%
1호 19
 
1.4%
갈현동 18
 
1.3%
녹번동 18
 
1.3%
2반 17
 
1.2%
Other values (469) 803
58.2%
2024-04-30T05:07:12.200364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1283
20.8%
1 279
 
4.5%
동 229
 
3.7%
2 221
 
3.6%
시 220
 
3.6%
구 214
 
3.5%
서 211
 
3.4%
호 203
 
3.3%
별 200
 
3.2%
특 199
 
3.2%
Other values (170) 2921
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3503
56.7%
Decimal Number 1354
 
21.9%
Space Separator 1283
 
20.8%
Dash Punctuation 34
 
0.6%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 229
 
6.5%
시 220
 
6.3%
구 214
 
6.1%
서 211
 
6.0%
호 203
 
5.8%
별 200
 
5.7%
특 199
 
5.7%
울 199
 
5.7%
번 182
 
5.2%
은 181
 
5.2%
Other values (154) 1465
41.8%
Decimal Number
ValueCountFrequency (%)
1 279
20.6%
2 221
16.3%
3 165
12.2%
4 123
9.1%
0 121
8.9%
5 113
8.3%
8 102
 
7.5%
9 82
 
6.1%
6 78
 
5.8%
7 70
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
B 2
33.3%
S 1
16.7%
K 1
16.7%
Space Separator
ValueCountFrequency (%)
1283
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3503
56.7%
Common 2671
43.2%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 229
 
6.5%
시 220
 
6.3%
구 214
 
6.1%
서 211
 
6.0%
호 203
 
5.8%
별 200
 
5.7%
특 199
 
5.7%
울 199
 
5.7%
번 182
 
5.2%
은 181
 
5.2%
Other values (154) 1465
41.8%
Common
ValueCountFrequency (%)
1283
48.0%
1 279
 
10.4%
2 221
 
8.3%
3 165
 
6.2%
4 123
 
4.6%
0 121
 
4.5%
5 113
 
4.2%
8 102
 
3.8%
9 82
 
3.1%
6 78
 
2.9%
Other values (2) 104
 
3.9%
Latin
ValueCountFrequency (%)
A 2
33.3%
B 2
33.3%
S 1
16.7%
K 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3503
56.7%
ASCII 2677
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1283
47.9%
1 279
 
10.4%
2 221
 
8.3%
3 165
 
6.2%
4 123
 
4.6%
0 121
 
4.5%
5 113
 
4.2%
8 102
 
3.8%
9 82
 
3.1%
6 78
 
2.9%
Other values (6) 110
 
4.1%
Hangul
ValueCountFrequency (%)
동 229
 
6.5%
시 220
 
6.3%
구 214
 
6.1%
서 211
 
6.0%
호 203
 
5.8%
별 200
 
5.7%
특 199
 
5.7%
울 199
 
5.7%
번 182
 
5.2%
은 181
 
5.2%
Other values (154) 1465
41.8%

도로명주소
Text

MISSING 

Distinct197
Distinct (%)96.6%
Missing21
Missing (%)9.3%
Memory size1.9 KiB
2024-04-30T05:07:12.460333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length30.210784
Min length22

Characters and Unicode

Total characters6163
Distinct characters182
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

Unique190 ?
Unique (%)93.1%

Sample

1st row경기도 광주시 오포읍 상태길 28, 201호 (오성주택)
2nd row서울특별시 은평구 서오릉로 72 (대조동)
3rd row서울특별시 은평구 은평로20가길 13, 203호 (응암동,녹번빌라)
4th row서울특별시 은평구 연서로 225 (갈현동)
5th row서울특별시 은평구 통일로 728 (불광동)
ValueCountFrequency (%)
서울특별시 193
 
15.7%
은평구 176
 
14.3%
통일로 51
 
4.2%
2층 33
 
2.7%
대조동 29
 
2.4%
응암동 24
 
2.0%
불광동 24
 
2.0%
연서로 17
 
1.4%
갈현동 15
 
1.2%
녹번동 15
 
1.2%
Other values (431) 650
53.0%
2024-04-30T05:07:12.820124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1024
 
16.6%
서 244
 
4.0%
동 230
 
3.7%
시 205
 
3.3%
구 203
 
3.3%
( 202
 
3.3%
로 202
 
3.3%
) 202
 
3.3%
은 198
 
3.2%
평 196
 
3.2%
Other values (172) 3257
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3486
56.6%
Space Separator 1024
 
16.6%
Decimal Number 1014
 
16.5%
Open Punctuation 202
 
3.3%
Close Punctuation 202
 
3.3%
Other Punctuation 175
 
2.8%
Dash Punctuation 55
 
0.9%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 244
 
7.0%
동 230
 
6.6%
시 205
 
5.9%
구 203
 
5.8%
로 202
 
5.8%
은 198
 
5.7%
평 196
 
5.6%
울 194
 
5.6%
별 193
 
5.5%
특 193
 
5.5%
Other values (153) 1428
41.0%
Decimal Number
ValueCountFrequency (%)
2 196
19.3%
1 194
19.1%
0 122
12.0%
3 118
11.6%
8 82
8.1%
7 80
7.9%
6 62
 
6.1%
9 57
 
5.6%
5 52
 
5.1%
4 51
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
E 1
 
20.0%
A 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
, 174
99.4%
. 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1024
100.0%
Open Punctuation
ValueCountFrequency (%)
( 202
100.0%
Close Punctuation
ValueCountFrequency (%)
) 202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3486
56.6%
Common 2672
43.4%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 244
 
7.0%
동 230
 
6.6%
시 205
 
5.9%
구 203
 
5.8%
로 202
 
5.8%
은 198
 
5.7%
평 196
 
5.6%
울 194
 
5.6%
별 193
 
5.5%
특 193
 
5.5%
Other values (153) 1428
41.0%
Common
ValueCountFrequency (%)
1024
38.3%
( 202
 
7.6%
) 202
 
7.6%
2 196
 
7.3%
1 194
 
7.3%
, 174
 
6.5%
0 122
 
4.6%
3 118
 
4.4%
8 82
 
3.1%
7 80
 
3.0%
Other values (6) 278
 
10.4%
Latin
ValueCountFrequency (%)
B 3
60.0%
E 1
 
20.0%
A 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3486
56.6%
ASCII 2677
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1024
38.3%
( 202
 
7.5%
) 202
 
7.5%
2 196
 
7.3%
1 194
 
7.2%
, 174
 
6.5%
0 122
 
4.6%
3 118
 
4.4%
8 82
 
3.1%
7 80
 
3.0%
Other values (9) 283
 
10.6%
Hangul
ValueCountFrequency (%)
서 244
 
7.0%
동 230
 
6.6%
시 205
 
5.9%
구 203
 
5.8%
로 202
 
5.8%
은 198
 
5.7%
평 196
 
5.6%
울 194
 
5.6%
별 193
 
5.5%
특 193
 
5.5%
Other values (153) 1428
41.0%

도로명우편번호
Text

MISSING 

Distinct75
Distinct (%)63.6%
Missing107
Missing (%)47.6%
Memory size1.9 KiB
2024-04-30T05:07:13.032888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3050847
Min length5

Characters and Unicode

Total characters626
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

Unique52 ?
Unique (%)44.1%

Sample

1st row122030
2nd row122050
3rd row122041
4th row122827
5th row03351
ValueCountFrequency (%)
03397 6
 
5.1%
122030 6
 
5.1%
03331 5
 
4.2%
03345 4
 
3.4%
03396 4
 
3.4%
03457 3
 
2.5%
03392 3
 
2.5%
03382 3
 
2.5%
122050 3
 
2.5%
03351 3
 
2.5%
Other values (65) 78
66.1%
2024-04-30T05:07:13.390825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 157
25.1%
0 131
20.9%
2 94
15.0%
1 58
 
9.3%
4 55
 
8.8%
9 34
 
5.4%
8 29
 
4.6%
5 24
 
3.8%
6 23
 
3.7%
7 20
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 625
99.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 157
25.1%
0 131
21.0%
2 94
15.0%
1 58
 
9.3%
4 55
 
8.8%
9 34
 
5.4%
8 29
 
4.6%
5 24
 
3.8%
6 23
 
3.7%
7 20
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 626
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 157
25.1%
0 131
20.9%
2 94
15.0%
1 58
 
9.3%
4 55
 
8.8%
9 34
 
5.4%
8 29
 
4.6%
5 24
 
3.8%
6 23
 
3.7%
7 20
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 626
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 157
25.1%
0 131
20.9%
2 94
15.0%
1 58
 
9.3%
4 55
 
8.8%
9 34
 
5.4%
8 29
 
4.6%
5 24
 
3.8%
6 23
 
3.7%
7 20
 
3.2%

사업장명
Text

Distinct203
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-30T05:07:13.680708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length6.7022222
Min length3

Characters and Unicode

Total characters1508
Distinct characters253
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)84.0%

Sample

1st row인력공사
2nd row제삼직업소개소
3rd row(주)대동인력직업소개소
4th row김영희직업소개소
5th row(주)은평직업소개소
ValueCountFrequency (%)
황금직업소개소 9
 
3.7%
세화파출박사 4
 
1.6%
미화직업소개소 3
 
1.2%
선화인력 2
 
0.8%
사람과공간 2
 
0.8%
드림종합인력 2
 
0.8%
선진직업소개소 2
 
0.8%
삼성취업정보 2
 
0.8%
선화종합인력 2
 
0.8%
대우직업소개소 2
 
0.8%
Other values (209) 213
87.7%
2024-04-30T05:07:14.035792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 144
 
9.5%
인 102
 
6.8%
력 96
 
6.4%
개 84
 
5.6%
업 72
 
4.8%
직 67
 
4.4%
사 32
 
2.1%
) 22
 
1.5%
( 22
 
1.5%
주 21
 
1.4%
Other values (243) 846
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1406
93.2%
Uppercase Letter 23
 
1.5%
Close Punctuation 22
 
1.5%
Open Punctuation 22
 
1.5%
Space Separator 18
 
1.2%
Lowercase Letter 10
 
0.7%
Other Punctuation 4
 
0.3%
Decimal Number 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 144
 
10.2%
인 102
 
7.3%
력 96
 
6.8%
개 84
 
6.0%
업 72
 
5.1%
직 67
 
4.8%
사 32
 
2.3%
주 21
 
1.5%
성 21
 
1.5%
대 19
 
1.4%
Other values (217) 748
53.2%
Uppercase Letter
ValueCountFrequency (%)
R 5
21.7%
H 4
17.4%
K 4
17.4%
S 3
13.0%
J 2
 
8.7%
T 1
 
4.3%
D 1
 
4.3%
B 1
 
4.3%
L 1
 
4.3%
O 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
o 2
20.0%
e 2
20.0%
u 1
10.0%
r 1
10.0%
t 1
10.0%
m 1
10.0%
c 1
10.0%
b 1
10.0%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
？ 1
25.0%
/ 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
4 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1406
93.2%
Common 69
 
4.6%
Latin 33
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 144
 
10.2%
인 102
 
7.3%
력 96
 
6.8%
개 84
 
6.0%
업 72
 
5.1%
직 67
 
4.8%
사 32
 
2.3%
주 21
 
1.5%
성 21
 
1.5%
대 19
 
1.4%
Other values (217) 748
53.2%
Latin
ValueCountFrequency (%)
R 5
15.2%
H 4
12.1%
K 4
12.1%
S 3
 
9.1%
o 2
 
6.1%
e 2
 
6.1%
J 2
 
6.1%
T 1
 
3.0%
D 1
 
3.0%
u 1
 
3.0%
Other values (8) 8
24.2%
Common
ValueCountFrequency (%)
) 22
31.9%
( 22
31.9%
18
26.1%
1 2
 
2.9%
& 2
 
2.9%
？ 1
 
1.4%
/ 1
 
1.4%
4 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1406
93.2%
ASCII 101
 
6.7%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 144
 
10.2%
인 102
 
7.3%
력 96
 
6.8%
개 84
 
6.0%
업 72
 
5.1%
직 67
 
4.8%
사 32
 
2.3%
주 21
 
1.5%
성 21
 
1.5%
대 19
 
1.4%
Other values (217) 748
53.2%
ASCII
ValueCountFrequency (%)
) 22
21.8%
( 22
21.8%
18
17.8%
R 5
 
5.0%
H 4
 
4.0%
K 4
 
4.0%
S 3
 
3.0%
o 2
 
2.0%
1 2
 
2.0%
& 2
 
2.0%
Other values (15) 17
16.8%
None
ValueCountFrequency (%)
？ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct225
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2003-05-19 14:39:05
Maximum2024-04-19 09:12:19
2024-04-30T05:07:14.153018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:07:14.256128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
I
157 
U
68 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 157
69.8%
U 68
30.2%

Length

2024-04-30T05:07:14.540523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:07:14.618449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 157
69.8%
u 68
30.2%

데이터갱신일자
Date

Distinct70
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-04-30T05:07:14.718573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:07:14.854953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing225
Missing (%)100.0%
Memory size2.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct179
Distinct (%)83.3%
Missing10
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean193470.42
Minimum179881.52
Maximum228697.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-30T05:07:14.981263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179881.52
5-th percentile190713.04
Q1192515.65
median192990.46
Q3193649.49
95-th percentile197135.4
Maximum228697.5
Range48815.983
Interquartile range (IQR)1133.8386

Descriptive statistics

Standard deviation4256.7915
Coefficient of variation (CV)0.022002286
Kurtosis28.737197
Mean193470.42
Median Absolute Deviation (MAD)557.61916
Skewness4.1310474
Sum41596141
Variance18120274
MonotonicityNot monotonic
2024-04-30T05:07:15.114432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193630.612534041 5
 
2.2%
193749.03284353 5
 
2.2%
192998.202204135 4
 
1.8%
192600.451566859 3
 
1.3%
193281.778416286 3
 
1.3%
194079.911715949 2
 
0.9%
193598.348172363 2
 
0.9%
193806.773351953 2
 
0.9%
192743.687571859 2
 
0.9%
192354.846524814 2
 
0.9%
Other values (169) 185
82.2%
(Missing) 10
 
4.4%
ValueCountFrequency (%)
179881.517673737 1
0.4%
182333.558210193 1
0.4%
184689.115709971 1
0.4%
185375.337957824 1
0.4%
185476.682306327 2
0.9%
186473.149371 1
0.4%
188310.70438 1
0.4%
190169.30168026 1
0.4%
190361.431770388 1
0.4%
190380.888196393 1
0.4%
ValueCountFrequency (%)
228697.500857 1
0.4%
214391.323986655 1
0.4%
212861.51411828 1
0.4%
211987.908289774 1
0.4%
210549.969693865 1
0.4%
203379.898573094 1
0.4%
201568.497487341 1
0.4%
201380.336133514 1
0.4%
201045.611312321 1
0.4%
200469.266569438 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct179
Distinct (%)83.3%
Missing10
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean454060.37
Minimum258017.11
Maximum471748.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-30T05:07:15.236727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum258017.11
5-th percentile447065.16
Q1455107.18
median456238.66
Q3457333.43
95-th percentile458249.07
Maximum471748.85
Range213731.74
Interquartile range (IQR)2226.2573

Descriptive statistics

Standard deviation16960.367
Coefficient of variation (CV)0.037352671
Kurtosis102.88312
Mean454060.37
Median Absolute Deviation (MAD)1111.5213
Skewness-9.7562279
Sum97622979
Variance2.8765406 × 108
MonotonicityNot monotonic
2024-04-30T05:07:15.341289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456543.824996823 5
 
2.2%
457857.323629514 5
 
2.2%
457479.99522553 4
 
1.8%
455197.91922534 3
 
1.3%
457082.762884018 3
 
1.3%
455862.882997332 2
 
0.9%
456279.824091706 2
 
0.9%
456327.868924894 2
 
0.9%
457144.44228555 2
 
0.9%
457762.044737468 2
 
0.9%
Other values (169) 185
82.2%
(Missing) 10
 
4.4%
ValueCountFrequency (%)
258017.109187 1
0.4%
317718.468026 1
0.4%
428518.884685146 1
0.4%
430041.326878547 1
0.4%
438101.789869918 1
0.4%
440611.278342237 1
0.4%
442478.104578198 1
0.4%
445095.571482274 1
0.4%
445242.968886465 1
0.4%
445279.777642185 1
0.4%
ValueCountFrequency (%)
471748.84521898 1
0.4%
471058.765073402 1
0.4%
468796.134396144 1
0.4%
464064.818439632 1
0.4%
461455.876513588 1
0.4%
461306.413636691 1
0.4%
460838.952271 1
0.4%
458974.94683568 1
0.4%
458921.196190627 1
0.4%
458321.955024495 1
0.4%

법인구분명
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
개인
156 
<NA>
56 
법인
 
13

Length

Max length4
Median length2
Mean length2.4977778
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 156
69.3%
<NA> 56
 
24.9%
법인 13
 
5.8%

Length

2024-04-30T05:07:15.455768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:07:15.552921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 156
69.3%
na 56
 
24.9%
법인 13
 
5.8%

구분명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
유료
169 
<NA>
56 

Length

Max length4
Median length2
Mean length2.4977778
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 169
75.1%
<NA> 56
 
24.9%

Length

2024-04-30T05:07:15.667914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:07:15.764565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 169
75.1%
na 56
 
24.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03110000198931100881150000119890117<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 광주시 오포읍 신현리 727번지 12호 4통 오성주택 201경기도 광주시 오포읍 상태길 28, 201호 (오성주택)<NA>인력공사2005-09-05 14:46:01I2018-08-31 23:59:59.0<NA>212861.514118428518.884685개인유료
13110000199031100881150000119900118<NA>1영업/정상20영업중<NA><NA><NA><NA>02 355 4199<NA><NA>서울특별시 은평구 대조동 179번지 49호 2층서울특별시 은평구 서오릉로 72 (대조동)122030제삼직업소개소2022-10-28 09:13:35U2021-10-30 21:00:00.0<NA>193103.533641456061.473871<NA><NA>
23110000199131100881150000119910621<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 36호 4통 2반 녹번빌라 203서울특별시 은평구 은평로20가길 13, 203호 (응암동,녹번빌라)<NA>(주)대동인력직업소개소2004-12-01 14:56:33I2018-08-31 23:59:59.0<NA>193981.438661455167.007998법인유료
33110000199631100881150000119961116<NA>3폐업40폐업20210304<NA><NA><NA>02 382 5254<NA><NA>서울특별시 마포구 도화동 564번지 3통 8반 마포동원베네스트 103동 603호서울특별시 은평구 연서로 225 (갈현동)122050김영희직업소개소2021-03-05 11:22:24U2021-03-07 02:40:00.0<NA>195719.025409448666.230261개인유료
43110000199831100881150000119980312<NA>1영업/정상20영업중<NA><NA><NA><NA>02 383 0057<NA><NA>서울특별시 은평구 불광동 281번지 104호서울특별시 은평구 통일로 728 (불광동)122041(주)은평직업소개소2021-11-23 14:49:58U2021-11-25 02:40:00.0<NA>193765.861592456471.846172법인유료
53110000199931100881150000119991123<NA>3폐업40폐업20100728<NA><NA><NA><NA><NA>122070서울특별시 은평구 역촌동 2번지 35호 2층서울특별시 은평구 서오릉로 109 (역촌동,2층)<NA>대성종합인력2010-07-28 16:35:41I2018-08-31 23:59:59.0<NA>192842.23522456354.649569개인유료
63110000199931100881150000219991125<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북가좌동 5번지 85호 27통 6반서울특별시 서대문구 증가로20가길 12 (북가좌동)<NA>녹번직업소개소2004-03-09 15:24:51I2018-08-31 23:59:59.0<NA>192744.925685453187.811606개인유료
73110000200031100881150000120000412<NA>3폐업40폐업20141029<NA><NA><NA>02 384 0500<NA>122030서울특별시 은평구 대조동 2번지 9호 203호서울특별시 은평구 통일로 757 (대조동,203호)<NA>선진직업소개소2014-10-29 10:56:39I2018-08-31 23:59:59.0<NA>193519.842696456728.319722개인유료
83110000200031100881150000220000425<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 성남시중원구 금광동 1265호 9통경기도 성남시 중원구 광명로334번길 9 (금광동)<NA>상아인력2003-12-23 11:28:44I2018-08-31 23:59:59.0<NA>214391.323987438101.78987개인유료
93110000200031100881150000320000706<NA>3폐업40폐업20130409<NA><NA><NA>02 383 1252<NA>122020서울특별시 은평구 녹번동 35번지 96호 지하서울특별시 은평구 통일로 639 (녹번동)122827믿음직업소개소2013-04-09 13:57:55I2018-08-31 23:59:59.0<NA>194158.845416455727.944767개인유료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
2153110000202331102171450000120230111<NA>1영업/정상20영업중<NA><NA><NA><NA>02 356 3098<NA><NA>서울특별시 은평구 대조동 48-80서울특별시 은평구 서오릉로 130, 203호 (대조동)03394주식회사주현케어2023-01-11 09:37:35I2022-11-30 23:03:00.0<NA>192735.08261456497.816448<NA><NA>
216311000020233110217145000022023-07-13<NA>1영업/정상20영업중<NA><NA><NA><NA>023880744<NA><NA>서울특별시 은평구 응암동 103-3서울특별시 은평구 응암로 326 (응암동)03464골드직업소개소2023-07-13 15:37:04I2022-12-06 23:05:00.0<NA>193084.571473455304.001885<NA><NA>
217311000020233110217145000032023-07-13<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 15-46서울특별시 은평구 통일로 713 (대조동)03397든든한파출부 은평구점2023-07-13 15:40:21I2022-12-06 23:05:00.0<NA>193806.773352456327.868925<NA><NA>
218311000020233110217145000042023-07-13<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 452-28서울특별시 은평구 연서로27길 22, 지층 E-66호 (갈현동)03331글로벌휴먼컨설팅2023-07-13 16:38:44I2022-12-06 23:05:00.0<NA>192625.57754457350.179826<NA><NA>
219311000020233110217145000052023-08-02<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 197-78 신동아아파트서울특별시 은평구 백련산로 127 (응암동, 신동아아파트)03463오성인력2023-08-02 15:50:51I2022-12-08 00:04:00.0<NA>193173.204284454966.103988<NA><NA>
220311000020233110217145000062023-08-18<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 311-13 메트로타워서울특별시 은평구 통일로 856, 메트로타워 11층 11018호 (불광동)03345마이워크2023-08-18 10:36:22I2022-12-07 22:00:00.0<NA>192998.202204457479.995226<NA><NA>
221311000020233110217145000082016-02-23<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 녹번동 277 대림아파트서울특별시 은평구 통일로 586, 상가 제에이동 2층 209호 (녹번동, 대림아파트)03374드림에스앤에이치2023-09-05 09:18:49U2022-12-09 00:07:00.0<NA>194410.448212455226.580045<NA><NA>
222311000020243110217145000022024-03-25<NA>1영업/정상20영업중<NA><NA><NA><NA>02 356 9113<NA><NA>서울특별시 은평구 불광동 311-13 메트로타워서울특별시 은평구 통일로 856, 메트로타워 10층 16호 (불광동)03345주식회사 최선을다하는2024-03-25 17:54:37I2023-12-02 22:07:00.0<NA>192998.202204457479.995226<NA><NA>
223311000020243110217145000032024-04-02<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 녹번동 117-15서울특별시 은평구 통일로 681, 2층 (녹번동)03382(고품격) 마터케어2024-04-02 17:30:05I2023-12-04 00:04:00.0<NA>193986.989766456081.878123<NA><NA>
224311000020243110217145000042024-04-02<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 신사동 2-20서울특별시 은평구 은평로 55, 지하1층 (신사동)03422한빛인력사무소2024-04-02 17:49:35I2023-12-04 00:04:00.0<NA>192343.072616455178.876474<NA><NA>