Overview

Dataset statistics

Number of variables27
Number of observations339
Missing cells2855
Missing cells (%)31.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory75.9 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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-20206/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 339 (100.0%) missing valuesMissing
폐업일자 has 176 (51.9%) missing valuesMissing
휴업시작일자 has 339 (100.0%) missing valuesMissing
휴업종료일자 has 339 (100.0%) missing valuesMissing
재개업일자 has 339 (100.0%) missing valuesMissing
전화번호 has 176 (51.9%) missing valuesMissing
소재지면적 has 339 (100.0%) missing valuesMissing
소재지우편번호 has 271 (79.9%) missing valuesMissing
지번주소 has 8 (2.4%) missing valuesMissing
도로명주소 has 28 (8.3%) missing valuesMissing
도로명우편번호 has 138 (40.7%) missing valuesMissing
업태구분명 has 339 (100.0%) missing valuesMissing
좌표정보(X) has 12 (3.5%) missing valuesMissing
좌표정보(Y) has 12 (3.5%) 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 13 (3.8%) zerosZeros

Reproduction

Analysis started2024-04-06 10:32:25.272353
Analysis finished2024-04-06 10:32:26.293810
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
3040000
339 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 339
100.0%

Length

2024-04-06T19:32:26.404627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:32:26.573549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 339
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct339
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0118468 × 1018
Minimum1.976304 × 1018
Maximum2.024304 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T19:32:26.781014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.976304 × 1018
5-th percentile2.001304 × 1018
Q12.006304 × 1018
median2.011304 × 1018
Q32.018304 × 1018
95-th percentile2.023304 × 1018
Maximum2.024304 × 1018
Range4.8000012 × 1016
Interquartile range (IQR)1.2000012 × 1016

Descriptive statistics

Standard deviation7.4675145 × 1015
Coefficient of variation (CV)0.003711771
Kurtosis0.27237299
Mean2.0118468 × 1018
Median Absolute Deviation (MAD)6.000009 × 1015
Skewness-0.33853255
Sum-5.1347003 × 1017
Variance5.5763773 × 1031
MonotonicityStrictly increasing
2024-04-06T19:32:27.067668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1976304010914500327 1
 
0.3%
2016304019114500008 1
 
0.3%
2017304019114500008 1
 
0.3%
2017304019114500007 1
 
0.3%
2017304019114500006 1
 
0.3%
2017304019114500005 1
 
0.3%
2017304019114500004 1
 
0.3%
2017304019114500003 1
 
0.3%
2017304019114500002 1
 
0.3%
2017304019114500001 1
 
0.3%
Other values (329) 329
97.1%
ValueCountFrequency (%)
1976304010914500327 1
0.3%
1990304007311500001 1
0.3%
1994304007311500001 1
0.3%
1996304007311500001 1
0.3%
1997304007311500001 1
0.3%
1997304007311500002 1
0.3%
1999304007311500001 1
0.3%
1999304007311500002 1
0.3%
2000304007311500001 1
0.3%
2000304007311500002 1
0.3%
ValueCountFrequency (%)
2024304023414500006 1
0.3%
2024304023414500005 1
0.3%
2024304023414500004 1
0.3%
2024304023414500003 1
0.3%
2024304023414500002 1
0.3%
2024304023414500001 1
0.3%
2023304023414500013 1
0.3%
2023304023414500012 1
0.3%
2023304023414500011 1
0.3%
2023304023414500010 1
0.3%

인허가일자
Date

Distinct305
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum1990-02-21 00:00:00
Maximum2024-04-03 00:00:00
2024-04-06T19:32:27.314381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:32:27.557136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing339
Missing (%)100.0%
Memory size3.1 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
3
225 
1
95 
5
 
15
4
 
4

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 (%)
3 225
66.4%
1 95
28.0%
5 15
 
4.4%
4 4
 
1.2%

Length

2024-04-06T19:32:27.800869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:32:27.990768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 225
66.4%
1 95
28.0%
5 15
 
4.4%
4 4
 
1.2%

영업상태명
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
폐업
225 
영업/정상
95 
제외/삭제/전출
 
15
취소/말소/만료/정지/중지
 
4

Length

Max length14
Median length2
Mean length3.2477876
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 225
66.4%
영업/정상 95
28.0%
제외/삭제/전출 15
 
4.4%
취소/말소/만료/정지/중지 4
 
1.2%

Length

2024-04-06T19:32:28.308487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:32:28.489303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 225
66.4%
영업/정상 95
28.0%
제외/삭제/전출 15
 
4.4%
취소/말소/만료/정지/중지 4
 
1.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
40
225 
20
95 
50
 
15
70
 
4

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 (%)
40 225
66.4%
20 95
28.0%
50 15
 
4.4%
70 4
 
1.2%

Length

2024-04-06T19:32:28.667083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:32:28.830171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 225
66.4%
20 95
28.0%
50 15
 
4.4%
70 4
 
1.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
폐업
225 
영업중
95 
타시군구이관
 
15
등록취소
 
4

Length

Max length6
Median length2
Mean length2.480826
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 225
66.4%
영업중 95
28.0%
타시군구이관 15
 
4.4%
등록취소 4
 
1.2%

Length

2024-04-06T19:32:29.060561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:32:29.327603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 225
66.4%
영업중 95
28.0%
타시군구이관 15
 
4.4%
등록취소 4
 
1.2%

폐업일자
Date

MISSING 

Distinct155
Distinct (%)95.1%
Missing176
Missing (%)51.9%
Memory size2.8 KiB
Minimum2007-07-02 00:00:00
Maximum2024-03-26 00:00:00
2024-04-06T19:32:29.567360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:32:29.808618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing339
Missing (%)100.0%
Memory size3.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing339
Missing (%)100.0%
Memory size3.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing339
Missing (%)100.0%
Memory size3.1 KiB

전화번호
Text

MISSING 

Distinct158
Distinct (%)96.9%
Missing176
Missing (%)51.9%
Memory size2.8 KiB
2024-04-06T19:32:30.269808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.306748
Min length8

Characters and Unicode

Total characters1843
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

Unique153 ?
Unique (%)93.9%

Sample

1st row024507525
2nd row02 455 5832
3rd row02 462 9393
4th row02 4621777
5th row02 444 7400
ValueCountFrequency (%)
02 129
34.5%
458 7
 
1.9%
455 6
 
1.6%
456 6
 
1.6%
444 6
 
1.6%
461 5
 
1.3%
446 4
 
1.1%
447 4
 
1.1%
499 3
 
0.8%
468 3
 
0.8%
Other values (182) 201
53.7%
2024-04-06T19:32:31.053423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
336
18.2%
0 275
14.9%
2 253
13.7%
4 226
12.3%
5 148
8.0%
6 124
 
6.7%
3 106
 
5.8%
7 106
 
5.8%
8 98
 
5.3%
1 89
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1507
81.8%
Space Separator 336
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 275
18.2%
2 253
16.8%
4 226
15.0%
5 148
9.8%
6 124
8.2%
3 106
 
7.0%
7 106
 
7.0%
8 98
 
6.5%
1 89
 
5.9%
9 82
 
5.4%
Space Separator
ValueCountFrequency (%)
336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1843
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
336
18.2%
0 275
14.9%
2 253
13.7%
4 226
12.3%
5 148
8.0%
6 124
 
6.7%
3 106
 
5.8%
7 106
 
5.8%
8 98
 
5.3%
1 89
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1843
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
336
18.2%
0 275
14.9%
2 253
13.7%
4 226
12.3%
5 148
8.0%
6 124
 
6.7%
3 106
 
5.8%
7 106
 
5.8%
8 98
 
5.3%
1 89
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing339
Missing (%)100.0%
Memory size3.1 KiB

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)45.6%
Missing271
Missing (%)79.9%
Infinite0
Infinite (%)0.0%
Mean116168.63
Minimum0
Maximum143959
Zeros13
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T19:32:31.301335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1143220
median143844
Q3143898
95-th percentile143913.3
Maximum143959
Range143959
Interquartile range (IQR)678

Descriptive statistics

Standard deviation56911.006
Coefficient of variation (CV)0.48989994
Kurtosis0.59421677
Mean116168.63
Median Absolute Deviation (MAD)63
Skewness-1.6046474
Sum7899467
Variance3.2388626 × 109
MonotonicityNot monotonic
2024-04-06T19:32:31.535910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 13
 
3.8%
143912 9
 
2.7%
143898 8
 
2.4%
143841 4
 
1.2%
143867 4
 
1.2%
143825 2
 
0.6%
143902 2
 
0.6%
143709 2
 
0.6%
143220 2
 
0.6%
143890 1
 
0.3%
Other values (21) 21
 
6.2%
(Missing) 271
79.9%
ValueCountFrequency (%)
0 13
3.8%
133834 1
 
0.3%
143130 1
 
0.3%
143150 1
 
0.3%
143220 2
 
0.6%
143222 1
 
0.3%
143709 2
 
0.6%
143817 1
 
0.3%
143819 1
 
0.3%
143825 2
 
0.6%
ValueCountFrequency (%)
143959 1
 
0.3%
143916 1
 
0.3%
143915 1
 
0.3%
143914 1
 
0.3%
143912 9
2.7%
143902 2
 
0.6%
143898 8
2.4%
143895 1
 
0.3%
143890 1
 
0.3%
143889 1
 
0.3%

지번주소
Text

MISSING 

Distinct314
Distinct (%)94.9%
Missing8
Missing (%)2.4%
Memory size2.8 KiB
2024-04-06T19:32:32.204469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length27.329305
Min length13

Characters and Unicode

Total characters9046
Distinct characters237
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

Unique300 ?
Unique (%)90.6%

Sample

1st row서울특별시 송파구 거여동 44번지 25통 5반 현대2차아파트 202동 602호
2nd row경기도 광주시 실촌면 삼리 125번지 1호 32통 킴스빌리지 103 205
3rd row서울특별시 광진구 자양동 216번지 24호 중앙빌딩
4th row서울특별시 광진구 자양동 690번지 13호 24통 3반
5th row서울특별시 광진구 군자동 355번지 11호 19통 7반 2층
ValueCountFrequency (%)
서울특별시 297
 
15.2%
광진구 257
 
13.1%
중곡동 69
 
3.5%
구의동 45
 
2.3%
자양동 44
 
2.2%
경기도 27
 
1.4%
군자동 25
 
1.3%
1호 24
 
1.2%
화양동 20
 
1.0%
2층 14
 
0.7%
Other values (662) 1138
58.1%
2024-04-06T19:32:33.131223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1762
19.5%
1 386
 
4.3%
구 368
 
4.1%
동 366
 
4.0%
시 333
 
3.7%
2 325
 
3.6%
서 302
 
3.3%
별 299
 
3.3%
호 298
 
3.3%
특 297
 
3.3%
Other values (227) 4310
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5205
57.5%
Decimal Number 1982
 
21.9%
Space Separator 1762
 
19.5%
Dash Punctuation 77
 
0.9%
Uppercase Letter 10
 
0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 368
 
7.1%
동 366
 
7.0%
시 333
 
6.4%
서 302
 
5.8%
별 299
 
5.7%
호 298
 
5.7%
특 297
 
5.7%
울 297
 
5.7%
광 276
 
5.3%
진 265
 
5.1%
Other values (204) 2104
40.4%
Decimal Number
ValueCountFrequency (%)
1 386
19.5%
2 325
16.4%
4 215
10.8%
3 193
9.7%
0 193
9.7%
5 158
8.0%
6 158
8.0%
7 143
 
7.2%
9 112
 
5.7%
8 99
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
20.0%
C 2
20.0%
A 2
20.0%
N 1
10.0%
U 1
10.0%
B 1
10.0%
K 1
10.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
r 1
50.0%
Space Separator
ValueCountFrequency (%)
1762
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5205
57.5%
Common 3829
42.3%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 368
 
7.1%
동 366
 
7.0%
시 333
 
6.4%
서 302
 
5.8%
별 299
 
5.7%
호 298
 
5.7%
특 297
 
5.7%
울 297
 
5.7%
광 276
 
5.3%
진 265
 
5.1%
Other values (204) 2104
40.4%
Common
ValueCountFrequency (%)
1762
46.0%
1 386
 
10.1%
2 325
 
8.5%
4 215
 
5.6%
3 193
 
5.0%
0 193
 
5.0%
5 158
 
4.1%
6 158
 
4.1%
7 143
 
3.7%
9 112
 
2.9%
Other values (4) 184
 
4.8%
Latin
ValueCountFrequency (%)
S 2
16.7%
C 2
16.7%
A 2
16.7%
k 1
8.3%
r 1
8.3%
N 1
8.3%
U 1
8.3%
B 1
8.3%
K 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5205
57.5%
ASCII 3841
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1762
45.9%
1 386
 
10.0%
2 325
 
8.5%
4 215
 
5.6%
3 193
 
5.0%
0 193
 
5.0%
5 158
 
4.1%
6 158
 
4.1%
7 143
 
3.7%
9 112
 
2.9%
Other values (13) 196
 
5.1%
Hangul
ValueCountFrequency (%)
구 368
 
7.1%
동 366
 
7.0%
시 333
 
6.4%
서 302
 
5.8%
별 299
 
5.7%
호 298
 
5.7%
특 297
 
5.7%
울 297
 
5.7%
광 276
 
5.3%
진 265
 
5.1%
Other values (204) 2104
40.4%

도로명주소
Text

MISSING 

Distinct292
Distinct (%)93.9%
Missing28
Missing (%)8.3%
Memory size2.8 KiB
2024-04-06T19:32:33.679809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length31.054662
Min length18

Characters and Unicode

Total characters9658
Distinct characters231
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

Unique274 ?
Unique (%)88.1%

Sample

1st row서울특별시 송파구 오금로61길 20, 202동 602호 (거여동,현대2차아파트)
2nd row서울특별시 광진구 아차산로 386, 중앙빌딩 401호 (자양동)
3rd row서울특별시 광진구 뚝섬로62길 50-5 (자양동)
4th row서울특별시 광진구 광나루로 343, 2층호 (군자동)
5th row서울특별시 광진구 아차산로49길 28-3 (구의동)
ValueCountFrequency (%)
서울특별시 295
 
15.6%
광진구 262
 
13.8%
중곡동 74
 
3.9%
자양동 52
 
2.7%
구의동 45
 
2.4%
천호대로 39
 
2.1%
능동로 37
 
2.0%
아차산로 31
 
1.6%
3층 27
 
1.4%
2층 25
 
1.3%
Other values (570) 1010
53.2%
2024-04-06T19:32:34.452873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1586
 
16.4%
동 424
 
4.4%
구 362
 
3.7%
시 314
 
3.3%
) 310
 
3.2%
( 310
 
3.2%
로 306
 
3.2%
서 303
 
3.1%
광 300
 
3.1%
별 296
 
3.1%
Other values (221) 5147
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5524
57.2%
Decimal Number 1606
 
16.6%
Space Separator 1586
 
16.4%
Close Punctuation 310
 
3.2%
Open Punctuation 310
 
3.2%
Other Punctuation 267
 
2.8%
Dash Punctuation 42
 
0.4%
Uppercase Letter 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 424
 
7.7%
구 362
 
6.6%
시 314
 
5.7%
로 306
 
5.5%
서 303
 
5.5%
광 300
 
5.4%
별 296
 
5.4%
울 296
 
5.4%
특 295
 
5.3%
진 271
 
4.9%
Other values (199) 2357
42.7%
Decimal Number
ValueCountFrequency (%)
1 282
17.6%
3 243
15.1%
2 242
15.1%
0 201
12.5%
4 148
9.2%
5 141
8.8%
6 113
7.0%
7 96
 
6.0%
8 87
 
5.4%
9 53
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 4
30.8%
A 2
15.4%
C 2
15.4%
S 2
15.4%
N 1
 
7.7%
U 1
 
7.7%
K 1
 
7.7%
Space Separator
ValueCountFrequency (%)
1586
100.0%
Close Punctuation
ValueCountFrequency (%)
) 310
100.0%
Open Punctuation
ValueCountFrequency (%)
( 310
100.0%
Other Punctuation
ValueCountFrequency (%)
, 267
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5524
57.2%
Common 4121
42.7%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 424
 
7.7%
구 362
 
6.6%
시 314
 
5.7%
로 306
 
5.5%
서 303
 
5.5%
광 300
 
5.4%
별 296
 
5.4%
울 296
 
5.4%
특 295
 
5.3%
진 271
 
4.9%
Other values (199) 2357
42.7%
Common
ValueCountFrequency (%)
1586
38.5%
) 310
 
7.5%
( 310
 
7.5%
1 282
 
6.8%
, 267
 
6.5%
3 243
 
5.9%
2 242
 
5.9%
0 201
 
4.9%
4 148
 
3.6%
5 141
 
3.4%
Other values (5) 391
 
9.5%
Latin
ValueCountFrequency (%)
B 4
30.8%
A 2
15.4%
C 2
15.4%
S 2
15.4%
N 1
 
7.7%
U 1
 
7.7%
K 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5524
57.2%
ASCII 4134
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1586
38.4%
) 310
 
7.5%
( 310
 
7.5%
1 282
 
6.8%
, 267
 
6.5%
3 243
 
5.9%
2 242
 
5.9%
0 201
 
4.9%
4 148
 
3.6%
5 141
 
3.4%
Other values (12) 404
 
9.8%
Hangul
ValueCountFrequency (%)
동 424
 
7.7%
구 362
 
6.6%
시 314
 
5.7%
로 306
 
5.5%
서 303
 
5.5%
광 300
 
5.4%
별 296
 
5.4%
울 296
 
5.4%
특 295
 
5.3%
진 271
 
4.9%
Other values (199) 2357
42.7%

도로명우편번호
Text

MISSING 

Distinct100
Distinct (%)49.8%
Missing138
Missing (%)40.7%
Memory size2.8 KiB
2024-04-06T19:32:34.865798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2686567
Min length5

Characters and Unicode

Total characters1059
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

Unique66 ?
Unique (%)32.8%

Sample

1st row05051
2nd row143-841
3rd row143912
4th row05080
5th row04929
ValueCountFrequency (%)
04929 13
 
6.5%
05044 12
 
6.0%
04969 6
 
3.0%
143898 6
 
3.0%
05116 5
 
2.5%
143912 5
 
2.5%
04994 5
 
2.5%
05073 5
 
2.5%
05051 5
 
2.5%
04931 5
 
2.5%
Other values (90) 134
66.7%
2024-04-06T19:32:35.632060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 249
23.5%
4 176
16.6%
9 152
14.4%
5 109
10.3%
1 101
9.5%
3 78
 
7.4%
8 67
 
6.3%
2 52
 
4.9%
7 36
 
3.4%
6 29
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1049
99.1%
Dash Punctuation 10
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 249
23.7%
4 176
16.8%
9 152
14.5%
5 109
10.4%
1 101
9.6%
3 78
 
7.4%
8 67
 
6.4%
2 52
 
5.0%
7 36
 
3.4%
6 29
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1059
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 249
23.5%
4 176
16.6%
9 152
14.4%
5 109
10.3%
1 101
9.5%
3 78
 
7.4%
8 67
 
6.3%
2 52
 
4.9%
7 36
 
3.4%
6 29
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1059
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 249
23.5%
4 176
16.6%
9 152
14.4%
5 109
10.3%
1 101
9.5%
3 78
 
7.4%
8 67
 
6.3%
2 52
 
4.9%
7 36
 
3.4%
6 29
 
2.7%

사업장명
Text

Distinct313
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-06T19:32:36.136607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length6.439528
Min length2

Characters and Unicode

Total characters2183
Distinct characters299
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

Unique291 ?
Unique (%)85.8%

Sample

1st row사회복지과
2nd row한강종합직업소개소
3rd row(주)우림인력
4th row개미직업소개소
5th row(주)하나직업소개소
ValueCountFrequency (%)
주식회사 8
 
2.1%
직업소개소 4
 
1.1%
제일골프 3
 
0.8%
오성직업소개소 3
 
0.8%
다흰인력센터 3
 
0.8%
대한직업소개소 3
 
0.8%
명성케어 2
 
0.5%
사람들 2
 
0.5%
엔젤 2
 
0.5%
개미인력 2
 
0.5%
Other values (325) 343
91.5%
2024-04-06T19:32:36.802553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 135
 
6.2%
인 121
 
5.5%
력 107
 
4.9%
개 89
 
4.1%
업 75
 
3.4%
직 64
 
2.9%
주 58
 
2.7%
( 52
 
2.4%
) 52
 
2.4%
사 41
 
1.9%
Other values (289) 1389
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1994
91.3%
Open Punctuation 52
 
2.4%
Close Punctuation 52
 
2.4%
Space Separator 36
 
1.6%
Uppercase Letter 25
 
1.1%
Decimal Number 15
 
0.7%
Lowercase Letter 8
 
0.4%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 135
 
6.8%
인 121
 
6.1%
력 107
 
5.4%
개 89
 
4.5%
업 75
 
3.8%
직 64
 
3.2%
주 58
 
2.9%
사 41
 
2.1%
리 36
 
1.8%
스 28
 
1.4%
Other values (257) 1240
62.2%
Uppercase Letter
ValueCountFrequency (%)
C 5
20.0%
J 3
12.0%
E 2
 
8.0%
H 2
 
8.0%
A 2
 
8.0%
L 2
 
8.0%
P 1
 
4.0%
G 1
 
4.0%
B 1
 
4.0%
T 1
 
4.0%
Other values (5) 5
20.0%
Lowercase Letter
ValueCountFrequency (%)
i 2
25.0%
d 1
12.5%
u 1
12.5%
s 1
12.5%
w 1
12.5%
v 1
12.5%
a 1
12.5%
Decimal Number
ValueCountFrequency (%)
1 6
40.0%
3 2
 
13.3%
5 2
 
13.3%
8 2
 
13.3%
2 2
 
13.3%
9 1
 
6.7%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1994
91.3%
Common 156
 
7.1%
Latin 33
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 135
 
6.8%
인 121
 
6.1%
력 107
 
5.4%
개 89
 
4.5%
업 75
 
3.8%
직 64
 
3.2%
주 58
 
2.9%
사 41
 
2.1%
리 36
 
1.8%
스 28
 
1.4%
Other values (257) 1240
62.2%
Latin
ValueCountFrequency (%)
C 5
15.2%
J 3
 
9.1%
i 2
 
6.1%
E 2
 
6.1%
H 2
 
6.1%
A 2
 
6.1%
L 2
 
6.1%
P 1
 
3.0%
d 1
 
3.0%
u 1
 
3.0%
Other values (12) 12
36.4%
Common
ValueCountFrequency (%)
( 52
33.3%
) 52
33.3%
36
23.1%
1 6
 
3.8%
3 2
 
1.3%
5 2
 
1.3%
8 2
 
1.3%
2 2
 
1.3%
9 1
 
0.6%
& 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1994
91.3%
ASCII 189
 
8.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 135
 
6.8%
인 121
 
6.1%
력 107
 
5.4%
개 89
 
4.5%
업 75
 
3.8%
직 64
 
3.2%
주 58
 
2.9%
사 41
 
2.1%
리 36
 
1.8%
스 28
 
1.4%
Other values (257) 1240
62.2%
ASCII
ValueCountFrequency (%)
( 52
27.5%
) 52
27.5%
36
19.0%
1 6
 
3.2%
C 5
 
2.6%
J 3
 
1.6%
3 2
 
1.1%
i 2
 
1.1%
5 2
 
1.1%
E 2
 
1.1%
Other values (22) 27
14.3%

최종수정일자
Date

UNIQUE 

Distinct339
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2004-01-15 10:55:30
Maximum2024-04-03 17:20:45
2024-04-06T19:32:37.018216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:32:37.286529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
I
193 
U
146 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 193
56.9%
U 146
43.1%

Length

2024-04-06T19:32:37.506472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:32:37.722750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 193
56.9%
u 146
43.1%

데이터갱신일자
Date

Distinct102
Distinct (%)30.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-06T19:32:37.904107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:32:38.129815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing339
Missing (%)100.0%
Memory size3.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct262
Distinct (%)80.1%
Missing12
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean208006.92
Minimum180568.71
Maximum384237.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T19:32:38.379402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180568.71
5-th percentile201178.16
Q1206368.02
median207132.24
Q3207696.4
95-th percentile210865.43
Maximum384237.78
Range203669.07
Interquartile range (IQR)1328.3799

Descriptive statistics

Standard deviation14128.593
Coefficient of variation (CV)0.067923671
Kurtosis104.93578
Mean208006.92
Median Absolute Deviation (MAD)623.45742
Skewness9.4697496
Sum68018263
Variance1.9961715 × 108
MonotonicityNot monotonic
2024-04-06T19:32:38.603713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207024.986625277 6
 
1.8%
207024.642620424 5
 
1.5%
207388.308848516 4
 
1.2%
206700.957376116 4
 
1.2%
207072.800336685 4
 
1.2%
208124.549163942 4
 
1.2%
205886.288968009 4
 
1.2%
207824.309885177 3
 
0.9%
207767.295403453 3
 
0.9%
207362.29706762 3
 
0.9%
Other values (252) 287
84.7%
(Missing) 12
 
3.5%
ValueCountFrequency (%)
180568.712774796 1
0.3%
180812.242298058 1
0.3%
184109.03185464 1
0.3%
187014.33959604 1
0.3%
191163.020002214 1
0.3%
192967.883325111 1
0.3%
193296.358070996 1
0.3%
193437.233759373 1
0.3%
193843.566261011 1
0.3%
194353.113351741 1
0.3%
ValueCountFrequency (%)
384237.784419755 1
0.3%
346592.6310487 1
0.3%
281567.138246 1
0.3%
266935.209049 1
0.3%
221874.61499613 2
0.6%
219356.666225426 1
0.3%
216028.322854992 1
0.3%
214966.2926318 1
0.3%
212876.204732166 2
0.6%
212751.746298607 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct262
Distinct (%)80.1%
Missing12
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean447951.1
Minimum137816.91
Maximum509764.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T19:32:38.837357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum137816.91
5-th percentile440899.51
Q1448364.13
median449549.89
Q3450555.53
95-th percentile452287.16
Maximum509764.14
Range371947.24
Interquartile range (IQR)2191.4035

Descriptive statistics

Standard deviation18752.573
Coefficient of variation (CV)0.041862991
Kurtosis231.62126
Mean447951.1
Median Absolute Deviation (MAD)1106.1518
Skewness-14.026144
Sum1.4648001 × 108
Variance3.5165899 × 108
MonotonicityNot monotonic
2024-04-06T19:32:39.137553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450555.531477526 6
 
1.8%
450656.038395087 5
 
1.5%
448313.517465433 4
 
1.2%
450626.894069205 4
 
1.2%
450764.939696563 4
 
1.2%
447812.924832297 4
 
1.2%
448517.338628068 4
 
1.2%
450114.867821901 3
 
0.9%
448419.727357691 3
 
0.9%
448012.449066969 3
 
0.9%
Other values (252) 287
84.7%
(Missing) 12
 
3.5%
ValueCountFrequency (%)
137816.907209 1
0.3%
387291.487067 1
0.3%
402340.348500885 1
0.3%
418549.317796794 1
0.3%
421059.036506899 1
0.3%
424538.634487949 1
0.3%
425170.194473079 1
0.3%
426895.4791876 1
0.3%
427885.412949926 1
0.3%
429510.806928499 1
0.3%
ValueCountFrequency (%)
509764.142990641 1
0.3%
472194.12204177 1
0.3%
471969.891307145 1
0.3%
467493.740439104 1
0.3%
461914.37599016 2
0.6%
461679.874423985 1
0.3%
461032.780065805 1
0.3%
458482.601906419 1
0.3%
456784.60097184 1
0.3%
456126.932655368 1
0.3%

법인구분명
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
개인
188 
<NA>
122 
법인
29 

Length

Max length4
Median length2
Mean length2.719764
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 188
55.5%
<NA> 122
36.0%
법인 29
 
8.6%

Length

2024-04-06T19:32:39.375176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:32:39.580689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 188
55.5%
na 122
36.0%
법인 29
 
8.6%

구분명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
유료
217 
<NA>
122 

Length

Max length4
Median length2
Mean length2.719764
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 217
64.0%
<NA> 122
36.0%

Length

2024-04-06T19:32:39.801852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:32:40.041275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 217
64.0%
na 122
36.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03040000197630401091450032720100714<NA>1영업/정상20영업중<NA><NA><NA><NA>024507525<NA>0서울특별시 송파구 거여동 44번지 25통 5반 현대2차아파트 202동 602호서울특별시 송파구 오금로61길 20, 202동 602호 (거여동,현대2차아파트)<NA>사회복지과2010-07-14 17:08:17I2018-08-31 23:59:59.0<NA>212876.204732443613.178458개인유료
13040000199030400731150000119900221<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 광주시 실촌면 삼리 125번지 1호 32통 킴스빌리지 103 205<NA><NA>한강종합직업소개소2004-06-25 13:51:46I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
23040000199430400731150000119940613<NA>3폐업40폐업20201214<NA><NA><NA>02 455 5832<NA><NA>서울특별시 광진구 자양동 216번지 24호 중앙빌딩서울특별시 광진구 아차산로 386, 중앙빌딩 401호 (자양동)05051(주)우림인력2020-12-14 17:10:29U2020-12-16 02:40:00.0<NA>207495.529007448279.432758법인유료
33040000199630400731150000119960910<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 690번지 13호 24통 3반서울특별시 광진구 뚝섬로62길 50-5 (자양동)<NA>개미직업소개소2004-06-03 13:01:20I2018-08-31 23:59:59.0<NA>207716.778932447627.5397개인유료
43040000199730400731150000119970709<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 군자동 355번지 11호 19통 7반 2층서울특별시 광진구 광나루로 343, 2층호 (군자동)<NA>(주)하나직업소개소2005-02-16 13:36:27I2018-08-31 23:59:59.0<NA>205951.717449589.580005법인유료
53040000199730400731150000219970317<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 252번지 87호 9통 4반서울특별시 광진구 아차산로49길 28-3 (구의동)<NA>(주)동국인력2006-07-04 10:48:33I2018-08-31 23:59:59.0<NA>207401.977218448443.203855법인유료
63040000199930400731150000119990406<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 송정동 73번지 22호 9통 1반서울특별시 성동구 송정14길 20 (송정동)<NA>유명인력개발2006-12-28 14:15:34I2018-08-31 23:59:59.0<NA>205980.061623449840.766829개인유료
73040000199930400731150000219990723<NA>3폐업40폐업20080104<NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 110번지 22호 6통 2반서울특별시 광진구 군자로6길 17 (화양동)<NA>대성인력2008-01-04 09:02:35I2018-08-31 23:59:59.0<NA>206249.658021449304.705739개인유료
8304000020003040073115000012000-05-02<NA>1영업/정상20영업중<NA><NA><NA><NA>02 462 9393<NA><NA>서울특별시 광진구 자양동 1번지 20호 14통 2반서울특별시 광진구 동일로20길 113 (자양동)143-841광진직업소개소2024-03-20 17:54:26U2023-12-02 22:02:00.0<NA>206087.728035448604.899845<NA><NA>
93040000200030400731150000220000524<NA>3폐업40폐업20121212<NA><NA><NA><NA><NA>143912서울특별시 광진구 중곡1동 647번지 19호 2층서울특별시 광진구 능동로 327-1, 2층 (중곡동)143912유진직업소개소2012-12-12 18:23:14I2018-08-31 23:59:59.0<NA>207019.0917450753.975568개인유료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
329304000020233040234145000102023-08-29<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 광장동 114 크레스코빌딩서울특별시 광진구 아차산로78길 44, 크레스코빌딩 814호 (광장동)04969(주)코니언정보2023-08-29 18:01:33I2022-12-07 21:01:00.0<NA>209637.078216449832.485938<NA><NA>
330304000020233040234145000112021-11-15<NA>1영업/정상20영업중<NA><NA><NA><NA>025656708<NA><NA>서울특별시 광진구 화양동 487-1 청산빌딩서울특별시 광진구 광나루로 430, 청산빌딩 502호 (화양동)05022피플뱅크코리아 주식회사2024-04-02 16:34:56U2023-12-04 00:04:00.0<NA>206739.898211449279.357935<NA><NA>
331304000020233040234145000122023-11-21<NA>1영업/정상20영업중<NA><NA><NA><NA>02446 4344<NA><NA>서울특별시 광진구 중곡동 47-24 장안빌딩서울특별시 광진구 능동로 352-1, 장안빌딩 5층 2호 (중곡동)04927(주)한울에이치엠2023-11-21 10:26:24I2022-10-31 22:03:00.0<NA>207156.940869450950.763731<NA><NA>
332304000020233040234145000132023-12-20<NA>1영업/정상20영업중<NA><NA><NA><NA>0269535613<NA><NA>서울특별시 광진구 능동 282-3서울특별시 광진구 능동로 278-1, 3층 (능동)04989(주)아스트로스인터내셔널2023-12-20 15:10:01I2022-11-01 22:03:00.0<NA>206863.540235450272.567031<NA><NA>
333304000020243040234145000012024-01-18<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 631-1 프라임프라자서울특별시 광진구 광나루로56길 63, 프라임프라자 지하1층 113호 (구의동)05119주식회사 비포유컨설팅2024-01-18 17:23:43I2023-11-30 22:00:00.0<NA>208558.286632448353.905156<NA><NA>
334304000020243040234145000022024-02-28<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 군자동 467-20 대원빌딩서울특별시 광진구 천호대로 528, 대원빌딩 304호 (군자동)04994인성직업소개소2024-02-28 14:55:27I2023-12-03 00:01:00.0<NA>206700.957376450626.894069<NA><NA>
335304000020243040234145000032024-02-28<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 79-27서울특별시 광진구 자양로37길 4, 1층 (구의동)04993개미인력 광진점2024-03-28 11:25:49U2023-12-02 21:00:00.0<NA>207693.074312449515.264847<NA><NA>
336304000020243040234145000042024-03-14<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 546-4 테크노-마트21서울특별시 광진구 광나루로56길 85, 테크노-마트21 1층 02호 (구의동)05116사회봉사활동가 간병돌봄사2024-03-14 14:11:34I2023-12-02 23:06:00.0<NA>208394.416382448165.28<NA><NA>
337304000020243040234145000052019-10-17<NA>1영업/정상20영업중<NA><NA><NA><NA>02 468 2220<NA><NA>서울특별시 광진구 자양동 7-8서울특별시 광진구 동일로20길 95, 4층 401호 (자양동)05073가나인력2024-03-28 16:55:30U2023-12-02 21:00:00.0<NA>206010.304627448637.452389<NA><NA>
338304000020243040234145000062024-04-03<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 6-43서울특별시 광진구 아차산로30길 21, 2층 (자양동)05073천국파출부2024-04-03 17:20:45I2023-12-04 00:05:00.0<NA>205898.733771448615.956432<NA><NA>