Overview

Dataset statistics

Number of variables27
Number of observations196
Missing cells1673
Missing cells (%)31.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.8 KiB
Average record size in memory228.7 B

Variable types

Categorical8
Numeric3
DateTime4
Unsupported6
Text6

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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-20212/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 196 (100.0%) missing valuesMissing
폐업일자 has 99 (50.5%) missing valuesMissing
휴업시작일자 has 196 (100.0%) missing valuesMissing
휴업종료일자 has 196 (100.0%) missing valuesMissing
재개업일자 has 196 (100.0%) missing valuesMissing
전화번호 has 123 (62.8%) missing valuesMissing
소재지면적 has 196 (100.0%) missing valuesMissing
소재지우편번호 has 145 (74.0%) missing valuesMissing
지번주소 has 4 (2.0%) missing valuesMissing
도로명주소 has 25 (12.8%) missing valuesMissing
도로명우편번호 has 83 (42.3%) missing valuesMissing
업태구분명 has 196 (100.0%) missing valuesMissing
좌표정보(X) has 9 (4.6%) missing valuesMissing
좌표정보(Y) has 9 (4.6%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 11:19:25.893123
Analysis finished2024-04-06 11:19:26.696175
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3100000
196 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 196
100.0%

Length

2024-04-06T20:19:26.792412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:19:26.933541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 196
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct196
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0116927 × 1018
Minimum1.99831 × 1018
Maximum2.02331 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T20:19:27.101927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.99831 × 1018
5-th percentile2.00131 × 1018
Q12.00531 × 1018
median2.01231 × 1018
Q32.01831 × 1018
95-th percentile2.02231 × 1018
Maximum2.02331 × 1018
Range2.5000011 × 1016
Interquartile range (IQR)1.3000011 × 1016

Descriptive statistics

Standard deviation6.9172074 × 1015
Coefficient of variation (CV)0.0034385011
Kurtosis-1.2675581
Mean2.0116927 × 1018
Median Absolute Deviation (MAD)6.0000105 × 1015
Skewness0.076410629
Sum6.9101372 × 1018
Variance4.7847759 × 1031
MonotonicityStrictly increasing
2024-04-06T20:19:27.373918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1998310007911500001 1
 
0.5%
2014310018414500012 1
 
0.5%
2015310018414500001 1
 
0.5%
2015310018414500004 1
 
0.5%
2015310018414500005 1
 
0.5%
2016310018414500001 1
 
0.5%
2016310018414500002 1
 
0.5%
2016310018414500003 1
 
0.5%
2016310018414500004 1
 
0.5%
2016310018414500007 1
 
0.5%
Other values (186) 186
94.9%
ValueCountFrequency (%)
1998310007911500001 1
0.5%
1999310007911500001 1
0.5%
1999310007911500002 1
0.5%
2000310007911500001 1
0.5%
2000310007911500002 1
0.5%
2001310007911500001 1
0.5%
2001310007911500002 1
0.5%
2001310007911500003 1
0.5%
2001310007911500004 1
0.5%
2001310007911500005 1
0.5%
ValueCountFrequency (%)
2023310018414500009 1
0.5%
2023310018414500007 1
0.5%
2023310018414500006 1
0.5%
2023310018414500005 1
0.5%
2023310018414500004 1
0.5%
2023310018414500003 1
0.5%
2023310018414500002 1
0.5%
2023310018414500001 1
0.5%
2022310018414500008 1
0.5%
2022310018414500007 1
0.5%

인허가일자
Date

Distinct188
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum1998-10-08 00:00:00
Maximum2023-12-26 00:00:00
2024-04-06T20:19:27.950052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:19:28.212017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3
132 
1
56 
5
 
6
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 132
67.3%
1 56
28.6%
5 6
 
3.1%
4 2
 
1.0%

Length

2024-04-06T20:19:28.432734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:19:28.606144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 132
67.3%
1 56
28.6%
5 6
 
3.1%
4 2
 
1.0%

영업상태명
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
폐업
132 
영업/정상
56 
제외/삭제/전출
 
6
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length2
Mean length3.1632653
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 132
67.3%
영업/정상 56
28.6%
제외/삭제/전출 6
 
3.1%
취소/말소/만료/정지/중지 2
 
1.0%

Length

2024-04-06T20:19:28.813805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:19:29.007739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 132
67.3%
영업/정상 56
28.6%
제외/삭제/전출 6
 
3.1%
취소/말소/만료/정지/중지 2
 
1.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
40
132 
20
56 
50
 
6
70
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
40 132
67.3%
20 56
28.6%
50 6
 
3.1%
70 2
 
1.0%

Length

2024-04-06T20:19:29.204053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:19:29.346063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 132
67.3%
20 56
28.6%
50 6
 
3.1%
70 2
 
1.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
폐업
132 
영업중
56 
타시군구이관
 
6
등록취소
 
2

Length

Max length6
Median length2
Mean length2.4285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 132
67.3%
영업중 56
28.6%
타시군구이관 6
 
3.1%
등록취소 2
 
1.0%

Length

2024-04-06T20:19:29.582852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:19:29.796224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 132
67.3%
영업중 56
28.6%
타시군구이관 6
 
3.1%
등록취소 2
 
1.0%

폐업일자
Date

MISSING 

Distinct95
Distinct (%)97.9%
Missing99
Missing (%)50.5%
Memory size1.7 KiB
Minimum2003-09-03 00:00:00
Maximum2024-02-01 00:00:00
2024-04-06T20:19:29.970359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:19:30.184693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

전화번호
Text

MISSING 

Distinct72
Distinct (%)98.6%
Missing123
Missing (%)62.8%
Memory size1.7 KiB
2024-04-06T20:19:30.596964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.0273973
Min length7

Characters and Unicode

Total characters659
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

Unique71 ?
Unique (%)97.3%

Sample

1st row09515533
2nd row029356400
3rd row9418780
4th row9331919
5th row912 5603
ValueCountFrequency (%)
02 10
 
10.0%
070 3
 
3.0%
976 2
 
2.0%
16441159 2
 
2.0%
1163 1
 
1.0%
0260615425 1
 
1.0%
8030 1
 
1.0%
983 1
 
1.0%
9353305 1
 
1.0%
000209524025 1
 
1.0%
Other values (77) 77
77.0%
2024-04-06T20:19:31.284928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 113
17.1%
9 83
12.6%
1 76
11.5%
3 74
11.2%
2 68
10.3%
7 51
7.7%
5 50
7.6%
6 38
 
5.8%
4 37
 
5.6%
37
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 622
94.4%
Space Separator 37
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 113
18.2%
9 83
13.3%
1 76
12.2%
3 74
11.9%
2 68
10.9%
7 51
8.2%
5 50
8.0%
6 38
 
6.1%
4 37
 
5.9%
8 32
 
5.1%
Space Separator
ValueCountFrequency (%)
37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 659
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 113
17.1%
9 83
12.6%
1 76
11.5%
3 74
11.2%
2 68
10.3%
7 51
7.7%
5 50
7.6%
6 38
 
5.8%
4 37
 
5.6%
37
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 659
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 113
17.1%
9 83
12.6%
1 76
11.5%
3 74
11.2%
2 68
10.3%
7 51
7.7%
5 50
7.6%
6 38
 
5.8%
4 37
 
5.6%
37
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

소재지우편번호
Text

MISSING 

Distinct30
Distinct (%)58.8%
Missing145
Missing (%)74.0%
Memory size1.7 KiB
2024-04-06T20:19:31.650231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.9019608
Min length3

Characters and Unicode

Total characters301
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)39.2%

Sample

1st row139814
2nd row139827
3rd row139200
4th row139200
5th row139200
ValueCountFrequency (%)
139200 8
15.7%
000 7
 
13.7%
139814 3
 
5.9%
139807 3
 
5.9%
139841 2
 
3.9%
139827 2
 
3.9%
139816 2
 
3.9%
139205 2
 
3.9%
139202 2
 
3.9%
139869 1
 
2.0%
Other values (19) 19
37.3%
2024-04-06T20:19:32.213041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 57
18.9%
0 53
17.6%
9 48
15.9%
3 47
15.6%
8 27
9.0%
2 25
8.3%
15
 
5.0%
4 11
 
3.7%
7 7
 
2.3%
6 5
 
1.7%
Other values (2) 6
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 285
94.7%
Space Separator 15
 
5.0%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 57
20.0%
0 53
18.6%
9 48
16.8%
3 47
16.5%
8 27
9.5%
2 25
8.8%
4 11
 
3.9%
7 7
 
2.5%
6 5
 
1.8%
5 5
 
1.8%
Space Separator
ValueCountFrequency (%)
15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 301
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 57
18.9%
0 53
17.6%
9 48
15.9%
3 47
15.6%
8 27
9.0%
2 25
8.3%
15
 
5.0%
4 11
 
3.7%
7 7
 
2.3%
6 5
 
1.7%
Other values (2) 6
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 301
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 57
18.9%
0 53
17.6%
9 48
15.9%
3 47
15.6%
8 27
9.0%
2 25
8.3%
15
 
5.0%
4 11
 
3.7%
7 7
 
2.3%
6 5
 
1.7%
Other values (2) 6
 
2.0%

지번주소
Text

MISSING 

Distinct187
Distinct (%)97.4%
Missing4
Missing (%)2.0%
Memory size1.7 KiB
2024-04-06T20:19:32.708431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length30.604167
Min length13

Characters and Unicode

Total characters5876
Distinct characters201
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

Unique182 ?
Unique (%)94.8%

Sample

1st row경기도 남양주시 별내면 청학리 350번지 1호 23통 청학주공아파트 605 1701
2nd row서울특별시 노원구 상계동 670호 23통 5반 주공아파트 922 806
3rd row서울특별시 노원구 상계동 1256호 12통 6반 은빛아파트 206 1404
4th row서울특별시 노원구 상계3.4동 173번지 1호 벽산@종합상가 109 2층 17,18호
5th row서울특별시 중랑구 면목동 20번지 4호 1통 9반
ValueCountFrequency (%)
서울특별시 178
 
14.3%
노원구 155
 
12.5%
상계동 85
 
6.8%
1호 25
 
2.0%
공릉동 23
 
1.9%
3호 14
 
1.1%
중계동 12
 
1.0%
경기도 10
 
0.8%
693번지 9
 
0.7%
2층 8
 
0.6%
Other values (482) 724
58.2%
2024-04-06T20:19:33.449930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1098
 
18.7%
1 255
 
4.3%
동 211
 
3.6%
호 208
 
3.5%
시 191
 
3.3%
구 186
 
3.2%
서 185
 
3.1%
0 181
 
3.1%
별 181
 
3.1%
2 178
 
3.0%
Other values (191) 3002
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3363
57.2%
Decimal Number 1366
23.2%
Space Separator 1098
 
18.7%
Dash Punctuation 29
 
0.5%
Other Punctuation 12
 
0.2%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 211
 
6.3%
호 208
 
6.2%
시 191
 
5.7%
구 186
 
5.5%
서 185
 
5.5%
별 181
 
5.4%
특 178
 
5.3%
울 178
 
5.3%
원 165
 
4.9%
노 161
 
4.8%
Other values (173) 1519
45.2%
Decimal Number
ValueCountFrequency (%)
1 255
18.7%
0 181
13.3%
2 178
13.0%
3 153
11.2%
6 134
9.8%
5 110
8.1%
7 105
7.7%
4 102
 
7.5%
9 75
 
5.5%
8 73
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 8
66.7%
, 3
 
25.0%
@ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
1098
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3363
57.2%
Common 2511
42.7%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 211
 
6.3%
호 208
 
6.2%
시 191
 
5.7%
구 186
 
5.5%
서 185
 
5.5%
별 181
 
5.4%
특 178
 
5.3%
울 178
 
5.3%
원 165
 
4.9%
노 161
 
4.8%
Other values (173) 1519
45.2%
Common
ValueCountFrequency (%)
1098
43.7%
1 255
 
10.2%
0 181
 
7.2%
2 178
 
7.1%
3 153
 
6.1%
6 134
 
5.3%
5 110
 
4.4%
7 105
 
4.2%
4 102
 
4.1%
9 75
 
3.0%
Other values (7) 120
 
4.8%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3363
57.2%
ASCII 2513
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1098
43.7%
1 255
 
10.1%
0 181
 
7.2%
2 178
 
7.1%
3 153
 
6.1%
6 134
 
5.3%
5 110
 
4.4%
7 105
 
4.2%
4 102
 
4.1%
9 75
 
3.0%
Other values (8) 122
 
4.9%
Hangul
ValueCountFrequency (%)
동 211
 
6.3%
호 208
 
6.2%
시 191
 
5.7%
구 186
 
5.5%
서 185
 
5.5%
별 181
 
5.4%
특 178
 
5.3%
울 178
 
5.3%
원 165
 
4.9%
노 161
 
4.8%
Other values (173) 1519
45.2%

도로명주소
Text

MISSING 

Distinct167
Distinct (%)97.7%
Missing25
Missing (%)12.8%
Memory size1.7 KiB
2024-04-06T20:19:33.981121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length35.070175
Min length21

Characters and Unicode

Total characters5997
Distinct characters204
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

Unique163 ?
Unique (%)95.3%

Sample

1st row경기도 남양주시 별내면 청학로114번길 43, 605동 1701호 (청학주공아파트)
2nd row서울특별시 노원구 노원로 532, 922동 806호 (상계동,주공아파트)
3rd row서울특별시 노원구 동일로245가길 41, 206동 1404호 (상계동,은빛아파트)
4th row서울특별시 노원구 동일로 1426 (상계동,미도빌딩 지하6호)
5th row서울특별시 노원구 상계로 193-14 (상계동,대림(아)상가 지층 6호)
ValueCountFrequency (%)
서울특별시 166
 
14.7%
노원구 149
 
13.2%
상계동 75
 
6.7%
동일로 30
 
2.7%
공릉동 23
 
2.0%
2층 18
 
1.6%
상계로 14
 
1.2%
월계동 9
 
0.8%
중계동 9
 
0.8%
덕릉로 8
 
0.7%
Other values (426) 626
55.5%
2024-04-06T20:19:34.791976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
956
 
15.9%
동 267
 
4.5%
1 254
 
4.2%
, 197
 
3.3%
( 172
 
2.9%
) 172
 
2.9%
시 171
 
2.9%
로 170
 
2.8%
서 170
 
2.8%
구 169
 
2.8%
Other values (194) 3299
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3339
55.7%
Decimal Number 1122
 
18.7%
Space Separator 956
 
15.9%
Other Punctuation 198
 
3.3%
Open Punctuation 172
 
2.9%
Close Punctuation 172
 
2.9%
Dash Punctuation 34
 
0.6%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 267
 
8.0%
시 171
 
5.1%
로 170
 
5.1%
서 170
 
5.1%
구 169
 
5.1%
계 168
 
5.0%
노 168
 
5.0%
별 167
 
5.0%
특 166
 
5.0%
울 166
 
5.0%
Other values (176) 1557
46.6%
Decimal Number
ValueCountFrequency (%)
1 254
22.6%
2 159
14.2%
0 146
13.0%
4 115
10.2%
3 108
9.6%
5 84
 
7.5%
6 82
 
7.3%
7 65
 
5.8%
8 59
 
5.3%
9 50
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 197
99.5%
. 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%
Space Separator
ValueCountFrequency (%)
956
100.0%
Open Punctuation
ValueCountFrequency (%)
( 172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 172
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3339
55.7%
Common 2654
44.3%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 267
 
8.0%
시 171
 
5.1%
로 170
 
5.1%
서 170
 
5.1%
구 169
 
5.1%
계 168
 
5.0%
노 168
 
5.0%
별 167
 
5.0%
특 166
 
5.0%
울 166
 
5.0%
Other values (176) 1557
46.6%
Common
ValueCountFrequency (%)
956
36.0%
1 254
 
9.6%
, 197
 
7.4%
( 172
 
6.5%
) 172
 
6.5%
2 159
 
6.0%
0 146
 
5.5%
4 115
 
4.3%
3 108
 
4.1%
5 84
 
3.2%
Other values (6) 291
 
11.0%
Latin
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3339
55.7%
ASCII 2658
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
956
36.0%
1 254
 
9.6%
, 197
 
7.4%
( 172
 
6.5%
) 172
 
6.5%
2 159
 
6.0%
0 146
 
5.5%
4 115
 
4.3%
3 108
 
4.1%
5 84
 
3.2%
Other values (8) 295
 
11.1%
Hangul
ValueCountFrequency (%)
동 267
 
8.0%
시 171
 
5.1%
로 170
 
5.1%
서 170
 
5.1%
구 169
 
5.1%
계 168
 
5.0%
노 168
 
5.0%
별 167
 
5.0%
특 166
 
5.0%
울 166
 
5.0%
Other values (176) 1557
46.6%

도로명우편번호
Text

MISSING 

Distinct70
Distinct (%)61.9%
Missing83
Missing (%)42.3%
Memory size1.7 KiB
2024-04-06T20:19:35.231430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3185841
Min length5

Characters and Unicode

Total characters601
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

Unique50 ?
Unique (%)44.2%

Sample

1st row01894
2nd row01694
3rd row139-846
4th row139942
5th row139-832
ValueCountFrequency (%)
01751 6
 
5.3%
01663 5
 
4.4%
01693 5
 
4.4%
01762 5
 
4.4%
01604 4
 
3.5%
01724 4
 
3.5%
01849 4
 
3.5%
01694 4
 
3.5%
139241 3
 
2.7%
139814 3
 
2.7%
Other values (60) 70
61.9%
2024-04-06T20:19:36.047959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 134
22.3%
0 98
16.3%
6 66
11.0%
8 61
10.1%
3 56
9.3%
9 56
9.3%
4 41
 
6.8%
7 31
 
5.2%
5 28
 
4.7%
2 25
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 596
99.2%
Dash Punctuation 5
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 134
22.5%
0 98
16.4%
6 66
11.1%
8 61
10.2%
3 56
9.4%
9 56
9.4%
4 41
 
6.9%
7 31
 
5.2%
5 28
 
4.7%
2 25
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 601
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 134
22.3%
0 98
16.3%
6 66
11.0%
8 61
10.1%
3 56
9.3%
9 56
9.3%
4 41
 
6.8%
7 31
 
5.2%
5 28
 
4.7%
2 25
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 601
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 134
22.3%
0 98
16.3%
6 66
11.0%
8 61
10.1%
3 56
9.3%
9 56
9.3%
4 41
 
6.8%
7 31
 
5.2%
5 28
 
4.7%
2 25
 
4.2%

사업장명
Text

Distinct179
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-06T20:19:36.586013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length6.6734694
Min length2

Characters and Unicode

Total characters1308
Distinct characters260
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

Unique166 ?
Unique (%)84.7%

Sample

1st row황보직업소개소
2nd row고려직업소개소
3rd row마들직업소개소
4th row온누리간병인협회
5th row이화직업소개소
ValueCountFrequency (%)
직업소개소 7
 
3.0%
일송직업소개소 4
 
1.7%
해피케어 3
 
1.3%
일가자인력 3
 
1.3%
노원점 3
 
1.3%
강남파출부 3
 
1.3%
주식회사 3
 
1.3%
서울인력 2
 
0.9%
j&g 2
 
0.9%
노원도봉엄마손베이비시터 2
 
0.9%
Other values (191) 199
86.1%
2024-04-06T20:19:37.312084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 94
 
7.2%
업 61
 
4.7%
인 61
 
4.7%
개 60
 
4.6%
력 54
 
4.1%
직 44
 
3.4%
35
 
2.7%
파 21
 
1.6%
원 21
 
1.6%
사 18
 
1.4%
Other values (250) 839
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1203
92.0%
Space Separator 35
 
2.7%
Uppercase Letter 24
 
1.8%
Lowercase Letter 14
 
1.1%
Close Punctuation 12
 
0.9%
Open Punctuation 12
 
0.9%
Decimal Number 5
 
0.4%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 94
 
7.8%
업 61
 
5.1%
인 61
 
5.1%
개 60
 
5.0%
력 54
 
4.5%
직 44
 
3.7%
파 21
 
1.7%
원 21
 
1.7%
사 18
 
1.5%
리 18
 
1.5%
Other values (217) 751
62.4%
Uppercase Letter
ValueCountFrequency (%)
A 4
16.7%
M 3
12.5%
K 3
12.5%
S 3
12.5%
J 2
8.3%
G 2
8.3%
D 1
 
4.2%
R 1
 
4.2%
H 1
 
4.2%
O 1
 
4.2%
Other values (3) 3
12.5%
Lowercase Letter
ValueCountFrequency (%)
n 2
14.3%
e 2
14.3%
y 2
14.3%
m 2
14.3%
c 1
7.1%
g 1
7.1%
t 1
7.1%
o 1
7.1%
l 1
7.1%
p 1
7.1%
Decimal Number
ValueCountFrequency (%)
5 1
20.0%
6 1
20.0%
3 1
20.0%
0 1
20.0%
1 1
20.0%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1203
92.0%
Common 67
 
5.1%
Latin 38
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 94
 
7.8%
업 61
 
5.1%
인 61
 
5.1%
개 60
 
5.0%
력 54
 
4.5%
직 44
 
3.7%
파 21
 
1.7%
원 21
 
1.7%
사 18
 
1.5%
리 18
 
1.5%
Other values (217) 751
62.4%
Latin
ValueCountFrequency (%)
A 4
 
10.5%
M 3
 
7.9%
K 3
 
7.9%
S 3
 
7.9%
J 2
 
5.3%
n 2
 
5.3%
e 2
 
5.3%
y 2
 
5.3%
m 2
 
5.3%
G 2
 
5.3%
Other values (13) 13
34.2%
Common
ValueCountFrequency (%)
35
52.2%
) 12
 
17.9%
( 12
 
17.9%
& 2
 
3.0%
, 1
 
1.5%
5 1
 
1.5%
6 1
 
1.5%
3 1
 
1.5%
0 1
 
1.5%
1 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1203
92.0%
ASCII 105
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 94
 
7.8%
업 61
 
5.1%
인 61
 
5.1%
개 60
 
5.0%
력 54
 
4.5%
직 44
 
3.7%
파 21
 
1.7%
원 21
 
1.7%
사 18
 
1.5%
리 18
 
1.5%
Other values (217) 751
62.4%
ASCII
ValueCountFrequency (%)
35
33.3%
) 12
 
11.4%
( 12
 
11.4%
A 4
 
3.8%
M 3
 
2.9%
K 3
 
2.9%
S 3
 
2.9%
J 2
 
1.9%
& 2
 
1.9%
n 2
 
1.9%
Other values (23) 27
25.7%

최종수정일자
Date

UNIQUE 

Distinct196
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2003-11-17 11:20:33
Maximum2024-04-02 16:17:35
2024-04-06T20:19:37.525051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:19:37.839152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
I
112 
U
84 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 112
57.1%
U 84
42.9%

Length

2024-04-06T20:19:38.083533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:19:38.247352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 112
57.1%
u 84
42.9%

데이터갱신일자
Date

Distinct72
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-04-06T20:19:38.512492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:19:38.724725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct152
Distinct (%)81.3%
Missing9
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean206186.31
Minimum176455.66
Maximum346749.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T20:19:38.970203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum176455.66
5-th percentile202617.66
Q1205273.3
median205920.87
Q3206508.5
95-th percentile207332.52
Maximum346749.35
Range170293.69
Interquartile range (IQR)1235.2023

Descriptive statistics

Standard deviation10882.775
Coefficient of variation (CV)0.052781267
Kurtosis151.93839
Mean206186.31
Median Absolute Deviation (MAD)647.56872
Skewness11.519644
Sum38556841
Variance1.1843479 × 108
MonotonicityNot monotonic
2024-04-06T20:19:39.222850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205273.302426861 7
 
3.6%
207105.241612335 4
 
2.0%
205394.112077124 4
 
2.0%
206356.052509483 4
 
2.0%
205297.659202914 3
 
1.5%
204772.500639238 3
 
1.5%
205086.47718411 3
 
1.5%
205420.745734828 3
 
1.5%
206626.865958361 2
 
1.0%
205396.51658775 2
 
1.0%
Other values (142) 152
77.6%
(Missing) 9
 
4.6%
ValueCountFrequency (%)
176455.663410044 1
0.5%
185590.624600865 1
0.5%
187464.77464133 1
0.5%
191037.581579158 1
0.5%
199888.811127238 1
0.5%
201058.451392626 1
0.5%
201544.916368453 1
0.5%
201792.634913409 1
0.5%
201950.963698517 1
0.5%
202485.434176007 1
0.5%
ValueCountFrequency (%)
346749.349096 1
0.5%
214605.001592 1
0.5%
210701.590749521 1
0.5%
209992.350829615 1
0.5%
208581.215964553 1
0.5%
208405.410822251 1
0.5%
207814.123511611 2
1.0%
207400.990655872 1
0.5%
207355.210249784 1
0.5%
207279.588293607 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct152
Distinct (%)81.3%
Missing9
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean457865.82
Minimum256758.92
Maximum471310.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-06T20:19:39.463795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum256758.92
5-th percentile454095.52
Q1457906.5
median461238.45
Q3462121.76
95-th percentile464146.09
Maximum471310.51
Range214551.59
Interquartile range (IQR)4215.2567

Descriptive statistics

Standard deviation21345.264
Coefficient of variation (CV)0.046619038
Kurtosis82.153584
Mean457865.82
Median Absolute Deviation (MAD)1493.7375
Skewness-8.9335762
Sum85620908
Variance4.556203 × 108
MonotonicityNot monotonic
2024-04-06T20:19:39.711199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
461515.158002149 7
 
3.6%
460826.476802953 4
 
2.0%
461283.511494133 4
 
2.0%
462123.008334776 4
 
2.0%
461519.760233787 3
 
1.5%
464208.305428933 3
 
1.5%
461235.909909808 3
 
1.5%
461559.290918189 3
 
1.5%
457406.081083339 2
 
1.0%
460932.283160478 2
 
1.0%
Other values (142) 152
77.6%
(Missing) 9
 
4.6%
ValueCountFrequency (%)
256758.915082 1
0.5%
259543.966165 1
0.5%
418229.400595011 1
0.5%
444464.719344289 1
0.5%
445408.624669046 1
0.5%
447273.006459589 1
0.5%
448188.61043997 1
0.5%
448384.531291735 1
0.5%
450555.816434414 1
0.5%
454014.694164833 1
0.5%
ValueCountFrequency (%)
471310.508743759 1
 
0.5%
470981.645417466 1
 
0.5%
470324.694316585 1
 
0.5%
467751.400011487 1
 
0.5%
464346.663669239 1
 
0.5%
464208.305428933 3
1.5%
464199.048415229 1
 
0.5%
464174.158420444 1
 
0.5%
464080.593904719 2
1.0%
463884.895275557 1
 
0.5%

법인구분명
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
개인
124 
<NA>
68 
법인
 
4

Length

Max length4
Median length2
Mean length2.6938776
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 124
63.3%
<NA> 68
34.7%
법인 4
 
2.0%

Length

2024-04-06T20:19:39.949539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:19:40.207033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 124
63.3%
na 68
34.7%
법인 4
 
2.0%

구분명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
유료
128 
<NA>
68 

Length

Max length4
Median length2
Mean length2.6938776
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 128
65.3%
<NA> 68
34.7%

Length

2024-04-06T20:19:40.414684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:19:40.635058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 128
65.3%
na 68
34.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03100000199831000791150000119981008<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 남양주시 별내면 청학리 350번지 1호 23통 청학주공아파트 605 1701경기도 남양주시 별내면 청학로114번길 43, 605동 1701호 (청학주공아파트)<NA>황보직업소개소2005-01-07 10:56:45I2018-08-31 23:59:59.0<NA>209992.35083467751.400011개인유료
13100000199931000791150000119991130<NA>3폐업40폐업20081124<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 670호 23통 5반 주공아파트 922 806서울특별시 노원구 노원로 532, 922동 806호 (상계동,주공아파트)<NA>고려직업소개소2008-11-24 08:51:18I2018-08-31 23:59:59.0<NA>205227.342972462298.014627개인유료
23100000199931000791150000219991025<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 1256호 12통 6반 은빛아파트 206 1404서울특별시 노원구 동일로245가길 41, 206동 1404호 (상계동,은빛아파트)<NA>마들직업소개소2003-11-17 11:20:33I2018-08-31 23:59:59.0<NA>204650.437591464174.15842개인유료
33100000200031000791150000120000106<NA>3폐업40폐업20130404<NA><NA><NA>09515533<NA>139814서울특별시 노원구 상계3.4동 173번지 1호 벽산@종합상가 109 2층 17,18호<NA><NA>온누리간병인협회2013-04-04 13:31:08I2018-08-31 23:59:59.0<NA>206356.052509462123.008335개인유료
43100000200031000791150000220000811<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 20번지 4호 1통 9반<NA><NA>이화직업소개소2005-04-20 10:24:24I2018-08-31 23:59:59.0<NA>208405.410822454014.694165개인유료
53100000200131000791150000120011112<NA>1영업/정상20영업중<NA><NA><NA><NA>029356400<NA>139827서울특별시 노원구 상계10동 693번지 미도빌딩 지하6호서울특별시 노원구 동일로 1426 (상계동,미도빌딩 지하6호)<NA>계룡인력개발2022-08-12 17:53:50U2021-12-07 23:04:00.0<NA>205273.302427461515.158002<NA><NA>
63100000200131000791150000220010531<NA>3폐업40폐업20080714<NA><NA><NA><NA><NA>139200서울특별시 노원구 상계동 172번지 대림(아)상가 지층 6호서울특별시 노원구 상계로 193-14 (상계동,대림(아)상가 지층 6호)<NA>하나인력2009-01-16 13:10:10I2018-08-31 23:59:59.0<NA>206505.33554462297.430479개인유료
73100000200131000791150000320010914<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 922호 3통 5반 서광아파트 102 606서울특별시 노원구 마들로1길 44, 102동 606호 (월계동,서광아파트)<NA>태양건축인력2003-12-19 10:17:03I2018-08-31 23:59:59.0<NA>205660.964261457868.070486개인유료
83100000200131000791150000420011211<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 511번지 2호 24통 6반 목화아파트 405 1107<NA><NA>들무새직업소개소2005-08-29 17:36:26I2018-08-31 23:59:59.0<NA>206078.194049460122.918359개인유료
93100000200131000791150000520010816<NA>3폐업40폐업20120725<NA><NA><NA><NA><NA>139200서울특별시 노원구 상계동 387번지 213호 3층서울특별시 노원구 상계로26길 13 (상계동,3층)<NA>광명건설용역2012-07-25 18:05:46I2018-08-31 23:59:59.0<NA>206194.402376461747.923349개인유료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
1863100000202231001841450000720000311<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 141번지 17호 3층서울특별시 강남구 학동로4길 8, 3층 (논현동)135822도와요 파출부2022-10-31 07:32:05U2021-11-01 00:02:00.0<NA>201950.963699445408.624669<NA><NA>
1873100000202231001841450000820080417<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA>000서울특별시 중랑구 면목동 97번지 14호 7통 6반<NA><NA>로얄골프2022-10-26 08:59:45I2021-10-30 22:08:00.0<NA>207814.123512454284.105376<NA><NA>
188310000020233100184145000012023-02-15<NA>3폐업40폐업2023-01-05<NA><NA><NA><NA><NA><NA>서울특별시 노원구 하계동 276-1 한국야쿠르트 하계관리점서울특별시 노원구 공릉로59가길 9, 한국야쿠르트 하계관리점 2층 221호 (하계동)01830제이원 코리아2024-04-02 16:17:35U2023-12-04 00:04:00.0<NA>206201.840029459064.752797<NA><NA>
189310000020233100184145000022023-02-15<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 366-1 한성빌딩서울특별시 노원구 노원로 466, 한성빌딩 2층 (상계동)01685대성인력2023-02-15 10:51:51I2022-12-01 23:07:00.0<NA>205755.719349461738.423228<NA><NA>
190310000020233100184145000032011-11-03<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 576-24 송이빌딩서울특별시 노원구 동일로 1027, 송이빌딩 2층 (공릉동)01858하나직업소개소2023-05-19 13:14:34U2022-12-04 22:01:00.0<NA>206453.197703457722.699588<NA><NA>
191310000020233100184145000042023-06-05<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 509-1 씨앤미복합빌딩서울특별시 노원구 동일로204가길 34, 씨앤미복합빌딩 1층 159호 (중계동)01783우리 직업소개소2023-06-28 10:52:06U2022-12-05 21:00:00.0<NA>205953.043736459822.608945<NA><NA>
192310000020233100184145000052023-08-30<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 602-3 현성빌딩 402호서울특별시 노원구 상계로 65, 현성빌딩 4층 402호 (상계동)01693든든한파출부 노원점2023-08-30 13:14:06I2022-12-09 00:01:00.0<NA>205420.745735461559.290918<NA><NA>
193310000020233100184145000062023-10-18<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 445 염광아파트 상가 제 상가동 109호서울특별시 노원구 덕릉로79길 35, 제 상가동 1층 109호 (중계동, 염광아파트 상가)01701동지 인력2023-11-21 10:12:17I2022-10-31 22:03:00.0<NA>206367.374707461535.726024<NA><NA>
194310000020233100184145000072015-06-09<NA>1영업/정상20영업중2023-12-08<NA><NA><NA>02 67371517<NA><NA>서울특별시 노원구 중계동 84-7 현대프라자 408호서울특별시 노원구 중계로 162-11, 현대프라자 408호 (중계동)01724큐브리크루팅2023-12-12 09:04:03I2022-11-01 23:04:00.0<NA>207105.241612460826.476803<NA><NA>
195310000020233100184145000092023-12-26<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 450 교림노원프라자서울특별시 노원구 한글비석로 444, 교림노원프라자 214호 (상계동)01666개미인력 노원점2023-12-26 16:13:44I2022-11-01 22:08:00.0<NA>205978.185784462367.006783<NA><NA>