Overview

Dataset statistics

Number of variables27
Number of observations158
Missing cells1371
Missing cells (%)32.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.5 KiB
Average record size in memory229.8 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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-20209/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 158 (100.0%) missing valuesMissing
폐업일자 has 70 (44.3%) missing valuesMissing
휴업시작일자 has 158 (100.0%) missing valuesMissing
휴업종료일자 has 158 (100.0%) missing valuesMissing
재개업일자 has 158 (100.0%) missing valuesMissing
전화번호 has 89 (56.3%) missing valuesMissing
소재지면적 has 158 (100.0%) missing valuesMissing
소재지우편번호 has 126 (79.7%) missing valuesMissing
지번주소 has 6 (3.8%) missing valuesMissing
도로명주소 has 59 (37.3%) missing valuesMissing
도로명우편번호 has 59 (37.3%) missing valuesMissing
업태구분명 has 158 (100.0%) missing valuesMissing
좌표정보(X) has 7 (4.4%) missing valuesMissing
좌표정보(Y) has 7 (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 (3.2%) zerosZeros

Reproduction

Analysis started2024-04-06 11:49:03.923913
Analysis finished2024-04-06 11:49:04.756910
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3070000
158 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 158
100.0%

Length

2024-04-06T20:49:04.875475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:49:05.057051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 158
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct158
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0112944 × 1018
Minimum1.999307 × 1018
Maximum2.024307 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T20:49:05.290042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.999307 × 1018
5-th percentile2.002307 × 1018
Q12.005307 × 1018
median2.010307 × 1018
Q32.017307 × 1018
95-th percentile2.023307 × 1018
Maximum2.024307 × 1018
Range2.500002 × 1016
Interquartile range (IQR)1.2000012 × 1016

Descriptive statistics

Standard deviation7.0222531 × 1015
Coefficient of variation (CV)0.0034914099
Kurtosis-1.2529648
Mean2.0112944 × 1018
Median Absolute Deviation (MAD)6.0000047 × 1015
Skewness0.25559905
Sum4.1898594 × 1018
Variance4.9312038 × 1031
MonotonicityStrictly increasing
2024-04-06T20:49:05.591057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1999307009911500001 1
 
0.6%
2016307021614500002 1
 
0.6%
2015307021614500002 1
 
0.6%
2015307021614500003 1
 
0.6%
2015307021614500004 1
 
0.6%
2015307021614500005 1
 
0.6%
2015307021614500006 1
 
0.6%
2015307021614500007 1
 
0.6%
2015307021614500008 1
 
0.6%
2016307021614500003 1
 
0.6%
Other values (148) 148
93.7%
ValueCountFrequency (%)
1999307009911500001 1
0.6%
2000307009911500001 1
0.6%
2000307009911500002 1
0.6%
2001307009911500001 1
0.6%
2001307009911500002 1
0.6%
2002307009911500001 1
0.6%
2002307009911500002 1
0.6%
2002307009911500003 1
0.6%
2002307009911500004 1
0.6%
2002307009911500005 1
0.6%
ValueCountFrequency (%)
2024307029814500002 1
0.6%
2024307029814500001 1
0.6%
2023307029814500008 1
0.6%
2023307029814500007 1
0.6%
2023307029814500006 1
0.6%
2023307029814500005 1
0.6%
2023307029814500004 1
0.6%
2023307029814500003 1
0.6%
2023307029814500002 1
0.6%
2022307028614500006 1
0.6%

인허가일자
Date

Distinct151
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1999-01-12 00:00:00
Maximum2024-01-29 00:00:00
2024-04-06T20:49:05.838980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:49:06.136542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing158
Missing (%)100.0%
Memory size1.5 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
105 
1
38 
5
 
9
4
 
6

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 (%)
3 105
66.5%
1 38
 
24.1%
5 9
 
5.7%
4 6
 
3.8%

Length

2024-04-06T20:49:06.809609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:49:07.017098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 105
66.5%
1 38
 
24.1%
5 9
 
5.7%
4 6
 
3.8%

영업상태명
Categorical

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
105 
영업/정상
38 
제외/삭제/전출
 
9
취소/말소/만료/정지/중지
 
6

Length

Max length14
Median length2
Mean length3.5189873
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 105
66.5%
영업/정상 38
 
24.1%
제외/삭제/전출 9
 
5.7%
취소/말소/만료/정지/중지 6
 
3.8%

Length

2024-04-06T20:49:07.315358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:49:07.548369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 105
66.5%
영업/정상 38
 
24.1%
제외/삭제/전출 9
 
5.7%
취소/말소/만료/정지/중지 6
 
3.8%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
40
105 
20
38 
50
 
9
70
 
6

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 (%)
40 105
66.5%
20 38
 
24.1%
50 9
 
5.7%
70 6
 
3.8%

Length

2024-04-06T20:49:07.781743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:49:08.034197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 105
66.5%
20 38
 
24.1%
50 9
 
5.7%
70 6
 
3.8%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
105 
영업중
38 
타시군구이관
 
9
등록취소
 
6

Length

Max length6
Median length2
Mean length2.5443038
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 105
66.5%
영업중 38
 
24.1%
타시군구이관 9
 
5.7%
등록취소 6
 
3.8%

Length

2024-04-06T20:49:08.273714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:49:08.550333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 105
66.5%
영업중 38
 
24.1%
타시군구이관 9
 
5.7%
등록취소 6
 
3.8%

폐업일자
Date

MISSING 

Distinct85
Distinct (%)96.6%
Missing70
Missing (%)44.3%
Memory size1.4 KiB
Minimum2003-12-31 00:00:00
Maximum2024-03-19 00:00:00
2024-04-06T20:49:08.782812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:49:09.068366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing158
Missing (%)100.0%
Memory size1.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing158
Missing (%)100.0%
Memory size1.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing158
Missing (%)100.0%
Memory size1.5 KiB

전화번호
Text

MISSING 

Distinct65
Distinct (%)94.2%
Missing89
Missing (%)56.3%
Memory size1.4 KiB
2024-04-06T20:49:09.504742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.724638
Min length7

Characters and Unicode

Total characters809
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

Unique62 ?
Unique (%)89.9%

Sample

1st row02 988 0002
2nd row02 9141640
3rd row02 941 1677
4th row02 941 0013
5th row02 922 2992
ValueCountFrequency (%)
02 62
34.4%
0454 4
 
2.2%
960 4
 
2.2%
988 3
 
1.7%
913 3
 
1.7%
989 3
 
1.7%
922 2
 
1.1%
943 2
 
1.1%
914 2
 
1.1%
986 2
 
1.1%
Other values (88) 93
51.7%
2024-04-06T20:49:10.189296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
21.9%
0 139
17.2%
2 123
15.2%
9 77
9.5%
4 55
 
6.8%
5 44
 
5.4%
1 43
 
5.3%
3 41
 
5.1%
6 40
 
4.9%
8 40
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 632
78.1%
Space Separator 177
 
21.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 139
22.0%
2 123
19.5%
9 77
12.2%
4 55
 
8.7%
5 44
 
7.0%
1 43
 
6.8%
3 41
 
6.5%
6 40
 
6.3%
8 40
 
6.3%
7 30
 
4.7%
Space Separator
ValueCountFrequency (%)
177
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 809
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
177
21.9%
0 139
17.2%
2 123
15.2%
9 77
9.5%
4 55
 
6.8%
5 44
 
5.4%
1 43
 
5.3%
3 41
 
5.1%
6 40
 
4.9%
8 40
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 809
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
21.9%
0 139
17.2%
2 123
15.2%
9 77
9.5%
4 55
 
6.8%
5 44
 
5.4%
1 43
 
5.3%
3 41
 
5.1%
6 40
 
4.9%
8 40
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing158
Missing (%)100.0%
Memory size1.5 KiB

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)59.4%
Missing126
Missing (%)79.7%
Infinite0
Infinite (%)0.0%
Mean115112.88
Minimum0
Maximum136874
Zeros5
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T20:49:10.488193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1136040.75
median136126
Q3136817
95-th percentile136827
Maximum136874
Range136874
Interquartile range (IQR)776.25

Descriptive statistics

Standard deviation50330.532
Coefficient of variation (CV)0.43722765
Kurtosis2.0773002
Mean115112.88
Median Absolute Deviation (MAD)675.5
Skewness-1.987674
Sum3683612
Variance2.5331625 × 109
MonotonicityNot monotonic
2024-04-06T20:49:10.672075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 5
 
3.2%
136817 4
 
2.5%
136045 3
 
1.9%
136827 3
 
1.9%
136081 2
 
1.3%
136140 2
 
1.3%
136032 1
 
0.6%
136802 1
 
0.6%
136801 1
 
0.6%
136037 1
 
0.6%
Other values (9) 9
 
5.7%
(Missing) 126
79.7%
ValueCountFrequency (%)
0 5
3.2%
136032 1
 
0.6%
136036 1
 
0.6%
136037 1
 
0.6%
136042 1
 
0.6%
136044 1
 
0.6%
136045 3
1.9%
136081 2
 
1.3%
136120 1
 
0.6%
136132 1
 
0.6%
ValueCountFrequency (%)
136874 1
 
0.6%
136827 3
1.9%
136823 1
 
0.6%
136819 1
 
0.6%
136817 4
2.5%
136802 1
 
0.6%
136801 1
 
0.6%
136724 1
 
0.6%
136140 2
1.3%
136132 1
 
0.6%

지번주소
Text

MISSING 

Distinct143
Distinct (%)94.1%
Missing6
Missing (%)3.8%
Memory size1.4 KiB
2024-04-06T20:49:11.164214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length28.203947
Min length18

Characters and Unicode

Total characters4287
Distinct characters177
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)90.8%

Sample

1st row서울특별시 강북구 미아동 791번지 1798호 1통 5반
2nd row서울특별시 성북구 길음동 1278호 21통 9반 길음동 동부센트레빌아파트 113 704
3rd row서울특별시 성북구 하월곡동 219호 11통 6반 동신아파트 102 2110
4th row서울특별시 강북구 미아동 1261번지 32호 13통 7반
5th row서울특별시 성북구 길음동 1070번지 24호 3통 9반 6층
ValueCountFrequency (%)
서울특별시 144
 
15.8%
성북구 121
 
13.3%
석관동 20
 
2.2%
길음동 15
 
1.6%
2호 11
 
1.2%
1호 10
 
1.1%
168번지 10
 
1.1%
정릉동 10
 
1.1%
1반 8
 
0.9%
4반 8
 
0.9%
Other values (374) 554
60.8%
2024-04-06T20:49:11.987085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
815
19.0%
1 224
 
5.2%
동 175
 
4.1%
2 164
 
3.8%
시 152
 
3.5%
구 148
 
3.5%
서 148
 
3.5%
울 144
 
3.4%
별 144
 
3.4%
특 144
 
3.4%
Other values (167) 2029
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2465
57.5%
Decimal Number 967
 
22.6%
Space Separator 815
 
19.0%
Dash Punctuation 26
 
0.6%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Uppercase Letter 4
 
0.1%
Lowercase Letter 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 175
 
7.1%
시 152
 
6.2%
구 148
 
6.0%
서 148
 
6.0%
울 144
 
5.8%
별 144
 
5.8%
특 144
 
5.8%
북 132
 
5.4%
성 128
 
5.2%
호 127
 
5.2%
Other values (148) 1023
41.5%
Decimal Number
ValueCountFrequency (%)
1 224
23.2%
2 164
17.0%
0 102
10.5%
3 97
10.0%
6 81
 
8.4%
4 80
 
8.3%
7 67
 
6.9%
5 66
 
6.8%
8 53
 
5.5%
9 33
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
L 1
25.0%
G 1
25.0%
Space Separator
ValueCountFrequency (%)
815
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2465
57.5%
Common 1817
42.4%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 175
 
7.1%
시 152
 
6.2%
구 148
 
6.0%
서 148
 
6.0%
울 144
 
5.8%
별 144
 
5.8%
특 144
 
5.8%
북 132
 
5.4%
성 128
 
5.2%
호 127
 
5.2%
Other values (148) 1023
41.5%
Common
ValueCountFrequency (%)
815
44.9%
1 224
 
12.3%
2 164
 
9.0%
0 102
 
5.6%
3 97
 
5.3%
6 81
 
4.5%
4 80
 
4.4%
7 67
 
3.7%
5 66
 
3.6%
8 53
 
2.9%
Other values (5) 68
 
3.7%
Latin
ValueCountFrequency (%)
B 2
40.0%
L 1
20.0%
G 1
20.0%
e 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2465
57.5%
ASCII 1822
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
815
44.7%
1 224
 
12.3%
2 164
 
9.0%
0 102
 
5.6%
3 97
 
5.3%
6 81
 
4.4%
4 80
 
4.4%
7 67
 
3.7%
5 66
 
3.6%
8 53
 
2.9%
Other values (9) 73
 
4.0%
Hangul
ValueCountFrequency (%)
동 175
 
7.1%
시 152
 
6.2%
구 148
 
6.0%
서 148
 
6.0%
울 144
 
5.8%
별 144
 
5.8%
특 144
 
5.8%
북 132
 
5.4%
성 128
 
5.2%
호 127
 
5.2%
Other values (148) 1023
41.5%

도로명주소
Text

MISSING 

Distinct95
Distinct (%)96.0%
Missing59
Missing (%)37.3%
Memory size1.4 KiB
2024-04-06T20:49:12.460571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length31.060606
Min length23

Characters and Unicode

Total characters3075
Distinct characters123
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)93.9%

Sample

1st row서울특별시 성북구 동소문로 248, 102동 1층 24호 (길음동, 삼부아파트)
2nd row서울특별시 성북구 장위로46길 58 (장위동)
3rd row서울특별시 성북구 동소문로 3-1, 503호 (동소문동1가)
4th row서울특별시 성북구 화랑로 312 (석관동)
5th row서울특별시 성북구 종암로9길 26, 1층 (종암동)
ValueCountFrequency (%)
서울특별시 98
 
16.0%
성북구 98
 
16.0%
석관동 20
 
3.3%
2층 17
 
2.8%
동소문로 16
 
2.6%
1층 16
 
2.6%
길음동 16
 
2.6%
화랑로 12
 
2.0%
4층 10
 
1.6%
장위동 8
 
1.3%
Other values (198) 303
49.3%
2024-04-06T20:49:13.261518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
515
 
16.7%
동 144
 
4.7%
1 117
 
3.8%
성 105
 
3.4%
북 104
 
3.4%
서 100
 
3.3%
시 100
 
3.3%
) 99
 
3.2%
로 99
 
3.2%
( 99
 
3.2%
Other values (113) 1593
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1754
57.0%
Space Separator 515
 
16.7%
Decimal Number 505
 
16.4%
Close Punctuation 99
 
3.2%
Open Punctuation 99
 
3.2%
Other Punctuation 84
 
2.7%
Dash Punctuation 19
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 144
 
8.2%
성 105
 
6.0%
북 104
 
5.9%
서 100
 
5.7%
시 100
 
5.7%
로 99
 
5.6%
울 98
 
5.6%
특 98
 
5.6%
별 98
 
5.6%
구 98
 
5.6%
Other values (98) 710
40.5%
Decimal Number
ValueCountFrequency (%)
1 117
23.2%
2 83
16.4%
3 66
13.1%
4 60
11.9%
0 43
 
8.5%
6 35
 
6.9%
5 31
 
6.1%
8 29
 
5.7%
7 22
 
4.4%
9 19
 
3.8%
Space Separator
ValueCountFrequency (%)
515
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Other Punctuation
ValueCountFrequency (%)
, 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1754
57.0%
Common 1321
43.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 144
 
8.2%
성 105
 
6.0%
북 104
 
5.9%
서 100
 
5.7%
시 100
 
5.7%
로 99
 
5.6%
울 98
 
5.6%
특 98
 
5.6%
별 98
 
5.6%
구 98
 
5.6%
Other values (98) 710
40.5%
Common
ValueCountFrequency (%)
515
39.0%
1 117
 
8.9%
) 99
 
7.5%
( 99
 
7.5%
, 84
 
6.4%
2 83
 
6.3%
3 66
 
5.0%
4 60
 
4.5%
0 43
 
3.3%
6 35
 
2.6%
Other values (5) 120
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1754
57.0%
ASCII 1321
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
515
39.0%
1 117
 
8.9%
) 99
 
7.5%
( 99
 
7.5%
, 84
 
6.4%
2 83
 
6.3%
3 66
 
5.0%
4 60
 
4.5%
0 43
 
3.3%
6 35
 
2.6%
Other values (5) 120
 
9.1%
Hangul
ValueCountFrequency (%)
동 144
 
8.2%
성 105
 
6.0%
북 104
 
5.9%
서 100
 
5.7%
시 100
 
5.7%
로 99
 
5.6%
울 98
 
5.6%
특 98
 
5.6%
별 98
 
5.6%
구 98
 
5.6%
Other values (98) 710
40.5%

도로명우편번호
Text

MISSING 

Distinct64
Distinct (%)64.6%
Missing59
Missing (%)37.3%
Memory size1.4 KiB
2024-04-06T20:49:13.695646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3636364
Min length5

Characters and Unicode

Total characters531
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

Unique48 ?
Unique (%)48.5%

Sample

1st row02735
2nd row136827
3rd row136031
4th row136817
5th row02810
ValueCountFrequency (%)
02781 13
 
13.1%
136817 4
 
4.0%
02840 4
 
4.0%
136800 3
 
3.0%
136081 3
 
3.0%
02832 3
 
3.0%
136827 3
 
3.0%
02768 2
 
2.0%
02726 2
 
2.0%
136140 2
 
2.0%
Other values (54) 60
60.6%
2024-04-06T20:49:14.294324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 104
19.6%
2 88
16.6%
1 73
13.7%
8 70
13.2%
3 58
10.9%
7 52
9.8%
6 44
8.3%
4 20
 
3.8%
5 13
 
2.4%
9 8
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 530
99.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 104
19.6%
2 88
16.6%
1 73
13.8%
8 70
13.2%
3 58
10.9%
7 52
9.8%
6 44
8.3%
4 20
 
3.8%
5 13
 
2.5%
9 8
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 531
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 104
19.6%
2 88
16.6%
1 73
13.7%
8 70
13.2%
3 58
10.9%
7 52
9.8%
6 44
8.3%
4 20
 
3.8%
5 13
 
2.4%
9 8
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 531
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 104
19.6%
2 88
16.6%
1 73
13.7%
8 70
13.2%
3 58
10.9%
7 52
9.8%
6 44
8.3%
4 20
 
3.8%
5 13
 
2.4%
9 8
 
1.5%

사업장명
Text

Distinct147
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-06T20:49:14.706600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length7.0822785
Min length2

Characters and Unicode

Total characters1119
Distinct characters210
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)86.7%

Sample

1st row대한직업소개소
2nd row전국인력
3rd row성북직업안내소
4th row미래종합직업소개소
5th row현대기술
ValueCountFrequency (%)
직업소개소 12
 
6.2%
주식회사 5
 
2.6%
전국인력 3
 
1.6%
세화파출박사 3
 
1.6%
강북인력 2
 
1.0%
미화직업소개소 2
 
1.0%
코리아 2
 
1.0%
이레인력공사 2
 
1.0%
인력 2
 
1.0%
현대직업소개소 2
 
1.0%
Other values (152) 157
81.8%
2024-04-06T20:49:15.369588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 90
 
8.0%
인 66
 
5.9%
력 62
 
5.5%
개 56
 
5.0%
업 47
 
4.2%
직 45
 
4.0%
34
 
3.0%
성 28
 
2.5%
대 27
 
2.4%
사 25
 
2.2%
Other values (200) 639
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1044
93.3%
Space Separator 34
 
3.0%
Close Punctuation 14
 
1.3%
Open Punctuation 14
 
1.3%
Uppercase Letter 5
 
0.4%
Other Punctuation 4
 
0.4%
Lowercase Letter 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 90
 
8.6%
인 66
 
6.3%
력 62
 
5.9%
개 56
 
5.4%
업 47
 
4.5%
직 45
 
4.3%
성 28
 
2.7%
대 27
 
2.6%
사 25
 
2.4%
주 18
 
1.7%
Other values (188) 580
55.6%
Uppercase Letter
ValueCountFrequency (%)
A 2
40.0%
R 1
20.0%
H 1
20.0%
J 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
u 2
50.0%
n 1
25.0%
b 1
25.0%
Other Punctuation
ValueCountFrequency (%)
/ 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1044
93.3%
Common 66
 
5.9%
Latin 9
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 90
 
8.6%
인 66
 
6.3%
력 62
 
5.9%
개 56
 
5.4%
업 47
 
4.5%
직 45
 
4.3%
성 28
 
2.7%
대 27
 
2.6%
사 25
 
2.4%
주 18
 
1.7%
Other values (188) 580
55.6%
Latin
ValueCountFrequency (%)
A 2
22.2%
u 2
22.2%
R 1
11.1%
H 1
11.1%
n 1
11.1%
b 1
11.1%
J 1
11.1%
Common
ValueCountFrequency (%)
34
51.5%
) 14
21.2%
( 14
21.2%
/ 3
 
4.5%
. 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1043
93.2%
ASCII 75
 
6.7%
Compat Jamo 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 90
 
8.6%
인 66
 
6.3%
력 62
 
5.9%
개 56
 
5.4%
업 47
 
4.5%
직 45
 
4.3%
성 28
 
2.7%
대 27
 
2.6%
사 25
 
2.4%
주 18
 
1.7%
Other values (187) 579
55.5%
ASCII
ValueCountFrequency (%)
34
45.3%
) 14
18.7%
( 14
18.7%
/ 3
 
4.0%
A 2
 
2.7%
u 2
 
2.7%
R 1
 
1.3%
H 1
 
1.3%
. 1
 
1.3%
n 1
 
1.3%
Other values (2) 2
 
2.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct158
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2003-05-03 10:12:35
Maximum2024-03-19 18:00:14
2024-04-06T20:49:15.590124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:49:15.851562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
99 
U
59 

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 99
62.7%
U 59
37.3%

Length

2024-04-06T20:49:16.051589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:49:16.214063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 99
62.7%
u 59
37.3%

데이터갱신일자
Date

Distinct58
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 22:01:00
2024-04-06T20:49:16.371272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:49:16.601171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing158
Missing (%)100.0%
Memory size1.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct129
Distinct (%)85.4%
Missing7
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean202493.56
Minimum182984.58
Maximum217768.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T20:49:16.858843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182984.58
5-th percentile200107.59
Q1201240.56
median202135.01
Q3204338.33
95-th percentile205729.35
Maximum217768.58
Range34783.995
Interquartile range (IQR)3097.776

Descriptive statistics

Standard deviation3465.2878
Coefficient of variation (CV)0.017113077
Kurtosis11.759214
Mean202493.56
Median Absolute Deviation (MAD)1287.012
Skewness-1.4229017
Sum30576528
Variance12008220
MonotonicityNot monotonic
2024-04-06T20:49:17.098866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201803.62404929 5
 
3.2%
205480.318206827 5
 
3.2%
205688.255889394 2
 
1.3%
205729.347626245 2
 
1.3%
204820.652156244 2
 
1.3%
205520.10656798 2
 
1.3%
201704.716198012 2
 
1.3%
205598.261700608 2
 
1.3%
205388.977538939 2
 
1.3%
202557.732225964 2
 
1.3%
Other values (119) 125
79.1%
(Missing) 7
 
4.4%
ValueCountFrequency (%)
182984.581165356 1
0.6%
187311.265729415 1
0.6%
189372.1910653 1
0.6%
193511.767833598 1
0.6%
195609.573060662 1
0.6%
196259.480927405 1
0.6%
199682.738269012 1
0.6%
199861.415998908 1
0.6%
200353.763780913 1
0.6%
200367.307409538 1
0.6%
ValueCountFrequency (%)
217768.575816 1
0.6%
212341.22863148 1
0.6%
209054.628787568 1
0.6%
207931.430232121 1
0.6%
207199.759240592 1
0.6%
206913.899655633 1
0.6%
206290.104730816 1
0.6%
205729.347626245 2
1.3%
205688.255889394 2
1.3%
205631.592201478 1
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct129
Distinct (%)85.4%
Missing7
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean453891.45
Minimum274215.14
Maximum470484.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T20:49:17.331444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum274215.14
5-th percentile451399.49
Q1454245.53
median455717.4
Q3456678.03
95-th percentile458018.89
Maximum470484.7
Range196269.56
Interquartile range (IQR)2432.5044

Descriptive statistics

Standard deviation15421.359
Coefficient of variation (CV)0.033975875
Kurtosis125.30113
Mean453891.45
Median Absolute Deviation (MAD)1074.9211
Skewness-10.84052
Sum68537609
Variance2.3781832 × 108
MonotonicityNot monotonic
2024-04-06T20:49:17.558472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454867.240191258 5
 
3.2%
456828.450934722 5
 
3.2%
456792.319941854 2
 
1.3%
456761.672987092 2
 
1.3%
456741.331063124 2
 
1.3%
456854.846058486 2
 
1.3%
453570.381072713 2
 
1.3%
456838.613682652 2
 
1.3%
456770.318536983 2
 
1.3%
456645.775373723 2
 
1.3%
Other values (119) 125
79.1%
(Missing) 7
 
4.4%
ValueCountFrequency (%)
274215.142978 1
0.6%
409374.063789293 1
0.6%
443651.529492692 1
0.6%
444854.451693268 1
0.6%
444961.20097875 1
0.6%
445390.365143349 1
0.6%
450388.366124832 1
0.6%
451100.619120075 1
0.6%
451698.351672354 1
0.6%
451996.753114395 1
0.6%
ValueCountFrequency (%)
470484.702396727 1
0.6%
461930.191335537 1
0.6%
460251.094498395 1
0.6%
459894.140373099 1
0.6%
459639.848128489 1
0.6%
458731.085499033 1
0.6%
458405.023604212 1
0.6%
458082.547063816 1
0.6%
457955.23440489 1
0.6%
457844.348010616 1
0.6%

법인구분명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
개인
101 
<NA>
45 
법인
12 

Length

Max length4
Median length2
Mean length2.5696203
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 101
63.9%
<NA> 45
28.5%
법인 12
 
7.6%

Length

2024-04-06T20:49:17.753657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:49:17.896875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 101
63.9%
na 45
28.5%
법인 12
 
7.6%

구분명
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
유료
113 
<NA>
45 

Length

Max length4
Median length2
Mean length2.5696203
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 113
71.5%
<NA> 45
 
28.5%

Length

2024-04-06T20:49:18.078777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:49:18.281193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 113
71.5%
na 45
 
28.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03070000199930700991150000119990221<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 791번지 1798호 1통 5반<NA><NA>대한직업소개소2006-04-11 10:23:40I2018-08-31 23:59:59.0<NA>200956.885416458082.547064개인유료
13070000200030700991150000120000619<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 길음동 1278호 21통 9반 길음동 동부센트레빌아파트 113 704<NA><NA>전국인력2004-07-07 14:15:24I2018-08-31 23:59:59.0<NA>202073.752579456449.070691개인유료
23070000200030700991150000220000928<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 하월곡동 219호 11통 6반 동신아파트 102 2110<NA><NA>성북직업안내소2003-08-26 10:50:37I2018-08-31 23:59:59.0<NA>203045.648848455787.515291개인유료
33070000200130700991150000120010607<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 1261번지 32호 13통 7반<NA><NA>미래종합직업소개소2003-05-03 10:12:35I2018-08-31 23:59:59.0<NA>202132.325226456866.430011개인유료
43070000200130700991150000220010626<NA>3폐업40폐업20091207<NA><NA><NA>02 988 0002<NA><NA>서울특별시 성북구 길음동 1070번지 24호 3통 9반 6층<NA><NA>현대기술2009-12-07 16:30:18I2018-08-31 23:59:59.0<NA>202179.374058455854.35966개인유료
53070000200230700991150000119990112<NA>1영업/정상20영업중<NA><NA><NA><NA>02 9141640<NA><NA>서울특별시 성북구 길음동 1276 삼부아파트서울특별시 성북구 동소문로 248, 102동 1층 24호 (길음동, 삼부아파트)02735덕진직업소개소2022-09-01 11:20:28U2021-12-09 00:03:00.0<NA>202029.9818455605.716911<NA><NA>
63070000200230700991150000220020215<NA>3폐업40폐업20031231<NA><NA><NA><NA><NA><NA>경기도 고양시일산구 일산동 1573호 24통 7반 중산마을 606 603<NA><NA>정탑직업소개소2011-03-31 17:27:49I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
73070000200230700991150000320020422<NA>3폐업40폐업20110608<NA><NA><NA><NA><NA><NA>경기도 구리시 수택동 414번지 16호 2통<NA><NA>정성인력2011-06-08 16:14:41I2018-08-31 23:59:59.0<NA>212341.228631455242.337732개인유료
83070000200230700991150000420020708<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 아현동 662번지 9호 10통 4반<NA><NA>성북직업안내소2003-08-14 17:00:14I2018-08-31 23:59:59.0<NA>195609.573061450388.366125개인유료
93070000200230700991150000520020710<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 신도림동 642호 41통 10반 신도림대림아파트 106 703<NA><NA>미화직업소개소2006-04-18 16:26:22I2018-08-31 23:59:59.0<NA>189372.191065444854.451693개인유료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
148307000020223070286145000062022-12-07<NA>5제외/삭제/전출50타시군구이관2024-03-19<NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동3가 52서울특별시 성북구 동소문로28길 54, 서경빌딩 302호 (동선동3가)02840이화글로벌 워킹센터2024-03-19 18:00:14U2023-12-02 22:01:00.0<NA>201803.624049454867.240191<NA><NA>
149307000020233070298145000022023-02-08<NA>5제외/삭제/전출50타시군구이관2023-07-24<NA><NA><NA><NA><NA><NA>서울특별시 성북구 장위동 238-93서울특별시 성북구 장위로 117, 1층 (장위동)02768후드인력2023-07-24 17:58:15U2022-12-06 22:06:00.0<NA>204319.57028456803.794299<NA><NA>
150307000020233070298145000032023-05-10<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 523-3서울특별시 성북구 아리랑로19길 41 (정릉동)02820신명전기2023-05-10 11:32:54I2022-12-04 23:02:00.0<NA>200910.010453455579.547297<NA><NA>
151307000020233070298145000042023-06-29<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 보문동3가 2 보문아이파크아파트서울특별시 성북구 지봉로21길 19, 상가동 102호 (보문동3가, 보문아이파크아파트)02870라이프파트너 주식회사2023-12-14 09:53:07U2022-11-01 23:06:00.0<NA>201398.445945453698.19316<NA><NA>
152307000020233070298145000052023-07-18<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 상월곡동 28-86서울특별시 성북구 장월로 13-1, 1층 (상월곡동)02752아이콘 파트너스2023-12-14 09:53:31U2022-11-01 23:06:00.0<NA>204105.918498456097.52272<NA><NA>
153307000020233070298145000062023-09-11<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동3가 52서울특별시 성북구 동소문로28길 54, 304호 (동선동3가)02840글로벌 코리아2023-12-14 09:54:02U2022-11-01 23:06:00.0<NA>201803.624049454867.240191<NA><NA>
154307000020233070298145000072023-12-28<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동소문동1가 22-2서울특별시 성북구 동소문로 3-1, 504호 (동소문동1가)02833든든한파출부 성북구점2023-12-28 09:18:28I2022-11-01 21:00:00.0<NA>200522.415695454072.927679<NA><NA>
155307000020233070298145000082023-12-28<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 401-63 보람빌딩서울특별시 성북구 보국문로 54, 보람빌딩 4층 (정릉동)02717세대통합인재개발원2023-12-28 10:22:07I2022-11-01 21:00:00.0<NA>200802.359156456336.023589<NA><NA>
156307000020243070298145000012024-01-04<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 석관동 168-34서울특별시 성북구 화랑로 316, 1층 (석관동)02781대한인력사업소2024-01-04 09:08:26I2023-12-01 00:06:00.0<NA>205520.106568456854.846058<NA><NA>
157307000020243070298145000022024-01-29<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 석관동 168-61서울특별시 성북구 화랑로42길 36, 1층 (석관동)02781(주)한마음센타2024-01-29 15:33:59I2023-11-30 21:01:00.0<NA>205598.261701456838.613683<NA><NA>