Overview

Dataset statistics

Number of variables27
Number of observations246
Missing cells2145
Missing cells (%)32.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory55.1 KiB
Average record size in memory229.5 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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-20210/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 246 (100.0%) missing valuesMissing
폐업일자 has 135 (54.9%) missing valuesMissing
휴업시작일자 has 246 (100.0%) missing valuesMissing
휴업종료일자 has 246 (100.0%) missing valuesMissing
재개업일자 has 246 (100.0%) missing valuesMissing
전화번호 has 141 (57.3%) missing valuesMissing
소재지면적 has 246 (100.0%) missing valuesMissing
소재지우편번호 has 206 (83.7%) missing valuesMissing
지번주소 has 10 (4.1%) missing valuesMissing
도로명주소 has 31 (12.6%) missing valuesMissing
도로명우편번호 has 124 (50.4%) missing valuesMissing
업태구분명 has 246 (100.0%) missing valuesMissing
좌표정보(X) has 11 (4.5%) missing valuesMissing
좌표정보(Y) has 11 (4.5%) 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 9 (3.7%) zerosZeros

Reproduction

Analysis started2024-05-11 06:04:13.357348
Analysis finished2024-05-11 06:04:13.960364
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3080000
246 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 246
100.0%

Length

2024-05-11T15:04:14.033766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:04:14.151820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 246
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct246
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0101373 × 1018
Minimum1.991308 × 1018
Maximum2.024308 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T15:04:14.278546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.991308 × 1018
5-th percentile2.000308 × 1018
Q12.003308 × 1018
median2.009308 × 1018
Q32.017308 × 1018
95-th percentile2.022308 × 1018
Maximum2.024308 × 1018
Range3.3000014 × 1016
Interquartile range (IQR)1.4000007 × 1016

Descriptive statistics

Standard deviation7.4067931 × 1015
Coefficient of variation (CV)0.0036847201
Kurtosis-1.1477941
Mean2.0101373 × 1018
Median Absolute Deviation (MAD)6.0000025 × 1015
Skewness0.15680534
Sum-3.5683193 × 1018
Variance5.4860585 × 1031
MonotonicityStrictly increasing
2024-05-11T15:04:14.502385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1991308007211500001 1
 
0.4%
2013308009714500004 1
 
0.4%
2013308009714500006 1
 
0.4%
2014308009714500001 1
 
0.4%
2014308009714500002 1
 
0.4%
2014308009714500003 1
 
0.4%
2014308009714500004 1
 
0.4%
2014308009714500005 1
 
0.4%
2014308009714500006 1
 
0.4%
2015308009714500001 1
 
0.4%
Other values (236) 236
95.9%
ValueCountFrequency (%)
1991308007211500001 1
0.4%
1996308007211500001 1
0.4%
1996308007211500002 1
0.4%
1997308007211500001 1
0.4%
1999308007211500001 1
0.4%
1999308007211500002 1
0.4%
1999308007211500003 1
0.4%
1999308007211500004 1
0.4%
1999308007211500005 1
0.4%
2000308007211500001 1
0.4%
ValueCountFrequency (%)
2024308021114500003 1
0.4%
2024308021114500001 1
0.4%
2023308019114500006 1
0.4%
2023308019114500005 1
0.4%
2023308019114500004 1
0.4%
2023308019114500003 1
0.4%
2023308019114500002 1
0.4%
2023308019114500001 1
0.4%
2022308016914500008 1
0.4%
2022308016914500007 1
0.4%

인허가일자
Date

Distinct230
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1991-09-18 00:00:00
Maximum2024-03-28 00:00:00
2024-05-11T15:04:14.775143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:14.957243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing246
Missing (%)100.0%
Memory size2.3 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3
157 
1
63 
4
20 
5
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 157
63.8%
1 63
25.6%
4 20
 
8.1%
5 6
 
2.4%

Length

2024-05-11T15:04:15.119272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:04:15.236615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 157
63.8%
1 63
25.6%
4 20
 
8.1%
5 6
 
2.4%

영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
폐업
157 
영업/정상
63 
취소/말소/만료/정지/중지
20 
제외/삭제/전출
 
6

Length

Max length14
Median length2
Mean length3.8902439
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row폐업
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 157
63.8%
영업/정상 63
25.6%
취소/말소/만료/정지/중지 20
 
8.1%
제외/삭제/전출 6
 
2.4%

Length

2024-05-11T15:04:15.367908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:04:15.500726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 157
63.8%
영업/정상 63
25.6%
취소/말소/만료/정지/중지 20
 
8.1%
제외/삭제/전출 6
 
2.4%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
40
157 
20
63 
70
20 
50
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row70
2nd row40
3rd row40
4th row40
5th row40

Common Values

ValueCountFrequency (%)
40 157
63.8%
20 63
25.6%
70 20
 
8.1%
50 6
 
2.4%

Length

2024-05-11T15:04:15.640428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:04:15.754292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 157
63.8%
20 63
25.6%
70 20
 
8.1%
50 6
 
2.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
폐업
157 
영업중
63 
등록취소
20 
타시군구이관
 
6

Length

Max length6
Median length2
Mean length2.5162602
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 157
63.8%
영업중 63
25.6%
등록취소 20
 
8.1%
타시군구이관 6
 
2.4%

Length

2024-05-11T15:04:15.891613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:04:16.014942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 157
63.8%
영업중 63
25.6%
등록취소 20
 
8.1%
타시군구이관 6
 
2.4%

폐업일자
Date

MISSING 

Distinct107
Distinct (%)96.4%
Missing135
Missing (%)54.9%
Memory size2.1 KiB
Minimum2007-07-20 00:00:00
Maximum2023-12-31 00:00:00
2024-05-11T15:04:16.156643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:16.320385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing246
Missing (%)100.0%
Memory size2.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing246
Missing (%)100.0%
Memory size2.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing246
Missing (%)100.0%
Memory size2.3 KiB

전화번호
Text

MISSING 

Distinct97
Distinct (%)92.4%
Missing141
Missing (%)57.3%
Memory size2.1 KiB
2024-05-11T15:04:16.629025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.590476
Min length7

Characters and Unicode

Total characters1217
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

Unique90 ?
Unique (%)85.7%

Sample

1st row02 980 1186
2nd row02 988 9988
3rd row02 981 0390
4th row02 999 3561
5th row02 994 8139
ValueCountFrequency (%)
02 95
33.2%
980 9
 
3.1%
981 5
 
1.7%
999 5
 
1.7%
900 5
 
1.7%
983 5
 
1.7%
982 4
 
1.4%
989 4
 
1.4%
985 4
 
1.4%
945 4
 
1.4%
Other values (120) 146
51.0%
2024-05-11T15:04:17.079765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
277
22.8%
0 190
15.6%
9 165
13.6%
2 150
12.3%
8 96
 
7.9%
1 76
 
6.2%
5 70
 
5.8%
4 64
 
5.3%
3 45
 
3.7%
6 43
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 940
77.2%
Space Separator 277
 
22.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 190
20.2%
9 165
17.6%
2 150
16.0%
8 96
10.2%
1 76
 
8.1%
5 70
 
7.4%
4 64
 
6.8%
3 45
 
4.8%
6 43
 
4.6%
7 41
 
4.4%
Space Separator
ValueCountFrequency (%)
277
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1217
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
277
22.8%
0 190
15.6%
9 165
13.6%
2 150
12.3%
8 96
 
7.9%
1 76
 
6.2%
5 70
 
5.8%
4 64
 
5.3%
3 45
 
3.7%
6 43
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1217
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
277
22.8%
0 190
15.6%
9 165
13.6%
2 150
12.3%
8 96
 
7.9%
1 76
 
6.2%
5 70
 
5.8%
4 64
 
5.3%
3 45
 
3.7%
6 43
 
3.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing246
Missing (%)100.0%
Memory size2.3 KiB

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)52.5%
Missing206
Missing (%)83.7%
Infinite0
Infinite (%)0.0%
Mean110241.52
Minimum0
Maximum142878
Zeros9
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T15:04:17.222802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1140580.75
median142100
Q3142809.5
95-th percentile142867.45
Maximum142878
Range142878
Interquartile range (IQR)2228.75

Descriptive statistics

Standard deviation60165.659
Coefficient of variation (CV)0.54576221
Kurtosis-0.13654997
Mean110241.52
Median Absolute Deviation (MAD)710
Skewness-1.3678912
Sum4409661
Variance3.6199065 × 109
MonotonicityNot monotonic
2024-05-11T15:04:17.347731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 9
 
3.7%
142100 6
 
2.4%
142071 3
 
1.2%
142703 3
 
1.2%
142812 2
 
0.8%
142061 2
 
0.8%
142816 1
 
0.4%
142864 1
 
0.4%
142863 1
 
0.4%
142073 1
 
0.4%
Other values (11) 11
 
4.5%
(Missing) 206
83.7%
ValueCountFrequency (%)
0 9
3.7%
136140 1
 
0.4%
142061 2
 
0.8%
142071 3
 
1.2%
142073 1
 
0.4%
142100 6
2.4%
142103 1
 
0.4%
142109 1
 
0.4%
142140 1
 
0.4%
142703 3
 
1.2%
ValueCountFrequency (%)
142878 1
0.4%
142876 1
0.4%
142867 1
0.4%
142864 1
0.4%
142863 1
0.4%
142840 1
0.4%
142816 1
0.4%
142812 2
0.8%
142811 1
0.4%
142809 1
0.4%

지번주소
Text

MISSING 

Distinct224
Distinct (%)94.9%
Missing10
Missing (%)4.1%
Memory size2.1 KiB
2024-05-11T15:04:17.611593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length29.737288
Min length17

Characters and Unicode

Total characters7018
Distinct characters190
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique215 ?
Unique (%)91.1%

Sample

1st row서울특별시 성북구 종암동 104번지 1호 8통 2반 에스케이아파트 104 1005
2nd row서울특별시 마포구 서교동 333번지 16호 14통 6반 1층
3rd row서울특별시 강북구 번동 234호 1통 1반 주공아파트 401 201
4th row경기도 의정부시 호원동 450번지 2호 45통 1반 유원아파트 101 1401
5th row서울특별시 강북구 수유동 172번지 177호 6통 8반
ValueCountFrequency (%)
서울특별시 210
 
13.6%
강북구 171
 
11.1%
미아동 70
 
4.5%
수유동 53
 
3.4%
번동 30
 
1.9%
경기도 19
 
1.2%
1반 15
 
1.0%
2호 15
 
1.0%
5반 15
 
1.0%
7호 14
 
0.9%
Other values (537) 930
60.3%
2024-05-11T15:04:18.084201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1418
20.2%
1 366
 
5.2%
동 258
 
3.7%
호 235
 
3.3%
시 232
 
3.3%
2 226
 
3.2%
구 224
 
3.2%
서 217
 
3.1%
특 210
 
3.0%
별 210
 
3.0%
Other values (180) 3422
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3887
55.4%
Decimal Number 1665
23.7%
Space Separator 1418
 
20.2%
Dash Punctuation 40
 
0.6%
Uppercase Letter 4
 
0.1%
Other Punctuation 3
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 258
 
6.6%
호 235
 
6.0%
시 232
 
6.0%
구 224
 
5.8%
서 217
 
5.6%
특 210
 
5.4%
별 210
 
5.4%
울 210
 
5.4%
번 209
 
5.4%
북 188
 
4.8%
Other values (165) 1694
43.6%
Decimal Number
ValueCountFrequency (%)
1 366
22.0%
2 226
13.6%
4 201
12.1%
3 187
11.2%
0 180
10.8%
6 115
 
6.9%
7 110
 
6.6%
5 109
 
6.5%
8 101
 
6.1%
9 70
 
4.2%
Space Separator
ValueCountFrequency (%)
1418
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3887
55.4%
Common 3127
44.6%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 258
 
6.6%
호 235
 
6.0%
시 232
 
6.0%
구 224
 
5.8%
서 217
 
5.6%
특 210
 
5.4%
별 210
 
5.4%
울 210
 
5.4%
번 209
 
5.4%
북 188
 
4.8%
Other values (165) 1694
43.6%
Common
ValueCountFrequency (%)
1418
45.3%
1 366
 
11.7%
2 226
 
7.2%
4 201
 
6.4%
3 187
 
6.0%
0 180
 
5.8%
6 115
 
3.7%
7 110
 
3.5%
5 109
 
3.5%
8 101
 
3.2%
Other values (4) 114
 
3.6%
Latin
ValueCountFrequency (%)
B 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3887
55.4%
ASCII 3131
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1418
45.3%
1 366
 
11.7%
2 226
 
7.2%
4 201
 
6.4%
3 187
 
6.0%
0 180
 
5.7%
6 115
 
3.7%
7 110
 
3.5%
5 109
 
3.5%
8 101
 
3.2%
Other values (5) 118
 
3.8%
Hangul
ValueCountFrequency (%)
동 258
 
6.6%
호 235
 
6.0%
시 232
 
6.0%
구 224
 
5.8%
서 217
 
5.6%
특 210
 
5.4%
별 210
 
5.4%
울 210
 
5.4%
번 209
 
5.4%
북 188
 
4.8%
Other values (165) 1694
43.6%

도로명주소
Text

MISSING 

Distinct207
Distinct (%)96.3%
Missing31
Missing (%)12.6%
Memory size2.1 KiB
2024-05-11T15:04:18.495754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length30.813953
Min length16

Characters and Unicode

Total characters6625
Distinct characters195
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

Unique202 ?
Unique (%)94.0%

Sample

1st row서울특별시 성북구 종암로24가길 53, 104동 1005호 (종암동,에스케이아파트)
2nd row서울특별시 마포구 와우산로29라길 26 (서교동,1층)
3rd row서울특별시 강북구 오현로 207, 401동 201호 (번동,주공아파트)
4th row경기도 의정부시 평화로244번길 25, 101동 1401호 (호원동,유원아파트)
5th row서울특별시 강북구 한천로140길 37-4 (수유동)
ValueCountFrequency (%)
서울특별시 204
 
15.8%
강북구 174
 
13.5%
수유동 59
 
4.6%
미아동 59
 
4.6%
도봉로 50
 
3.9%
번동 33
 
2.6%
2층 19
 
1.5%
4층 12
 
0.9%
3층 12
 
0.9%
노해로 11
 
0.9%
Other values (425) 657
50.9%
2024-05-11T15:04:19.062143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1076
 
16.2%
동 246
 
3.7%
1 237
 
3.6%
시 217
 
3.3%
) 212
 
3.2%
( 211
 
3.2%
로 211
 
3.2%
서 210
 
3.2%
구 208
 
3.1%
별 204
 
3.1%
Other values (185) 3593
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3733
56.3%
Decimal Number 1157
 
17.5%
Space Separator 1076
 
16.2%
Close Punctuation 212
 
3.2%
Open Punctuation 211
 
3.2%
Other Punctuation 187
 
2.8%
Dash Punctuation 44
 
0.7%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 246
 
6.6%
시 217
 
5.8%
로 211
 
5.7%
서 210
 
5.6%
구 208
 
5.6%
별 204
 
5.5%
울 204
 
5.5%
특 204
 
5.5%
북 188
 
5.0%
강 174
 
4.7%
Other values (167) 1667
44.7%
Decimal Number
ValueCountFrequency (%)
1 237
20.5%
2 172
14.9%
3 151
13.1%
0 138
11.9%
4 117
10.1%
6 88
 
7.6%
5 83
 
7.2%
8 69
 
6.0%
7 59
 
5.1%
9 43
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 186
99.5%
. 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
B 4
80.0%
A 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1076
100.0%
Close Punctuation
ValueCountFrequency (%)
) 212
100.0%
Open Punctuation
ValueCountFrequency (%)
( 211
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3733
56.3%
Common 2887
43.6%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 246
 
6.6%
시 217
 
5.8%
로 211
 
5.7%
서 210
 
5.6%
구 208
 
5.6%
별 204
 
5.5%
울 204
 
5.5%
특 204
 
5.5%
북 188
 
5.0%
강 174
 
4.7%
Other values (167) 1667
44.7%
Common
ValueCountFrequency (%)
1076
37.3%
1 237
 
8.2%
) 212
 
7.3%
( 211
 
7.3%
, 186
 
6.4%
2 172
 
6.0%
3 151
 
5.2%
0 138
 
4.8%
4 117
 
4.1%
6 88
 
3.0%
Other values (6) 299
 
10.4%
Latin
ValueCountFrequency (%)
B 4
80.0%
A 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3733
56.3%
ASCII 2892
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1076
37.2%
1 237
 
8.2%
) 212
 
7.3%
( 211
 
7.3%
, 186
 
6.4%
2 172
 
5.9%
3 151
 
5.2%
0 138
 
4.8%
4 117
 
4.0%
6 88
 
3.0%
Other values (8) 304
 
10.5%
Hangul
ValueCountFrequency (%)
동 246
 
6.6%
시 217
 
5.8%
로 211
 
5.7%
서 210
 
5.6%
구 208
 
5.6%
별 204
 
5.5%
울 204
 
5.5%
특 204
 
5.5%
북 188
 
5.0%
강 174
 
4.7%
Other values (167) 1667
44.7%

도로명우편번호
Text

MISSING 

Distinct66
Distinct (%)54.1%
Missing124
Missing (%)50.4%
Memory size2.1 KiB
2024-05-11T15:04:19.334265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.204918
Min length5

Characters and Unicode

Total characters635
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

Unique42 ?
Unique (%)34.4%

Sample

1st row142724
2nd row142100
3rd row01081
4th row01054
5th row01114
ValueCountFrequency (%)
01073 7
 
5.7%
01062 6
 
4.9%
142100 6
 
4.9%
01080 5
 
4.1%
01081 5
 
4.1%
01118 4
 
3.3%
01125 4
 
3.3%
01069 3
 
2.5%
142878 3
 
2.5%
01126 3
 
2.5%
Other values (56) 76
62.3%
2024-05-11T15:04:19.735433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 208
32.8%
0 186
29.3%
2 53
 
8.3%
4 36
 
5.7%
6 35
 
5.5%
8 34
 
5.4%
7 33
 
5.2%
3 25
 
3.9%
5 15
 
2.4%
9 8
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 633
99.7%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 208
32.9%
0 186
29.4%
2 53
 
8.4%
4 36
 
5.7%
6 35
 
5.5%
8 34
 
5.4%
7 33
 
5.2%
3 25
 
3.9%
5 15
 
2.4%
9 8
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 635
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 208
32.8%
0 186
29.3%
2 53
 
8.3%
4 36
 
5.7%
6 35
 
5.5%
8 34
 
5.4%
7 33
 
5.2%
3 25
 
3.9%
5 15
 
2.4%
9 8
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 635
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 208
32.8%
0 186
29.3%
2 53
 
8.3%
4 36
 
5.7%
6 35
 
5.5%
8 34
 
5.4%
7 33
 
5.2%
3 25
 
3.9%
5 15
 
2.4%
9 8
 
1.3%

사업장명
Text

Distinct212
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-11T15:04:20.007737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length7.9878049
Min length2

Characters and Unicode

Total characters1965
Distinct characters246
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

Unique185 ?
Unique (%)75.2%

Sample

1st row장안직업소개소
2nd row삼양직업소개소
3rd row(주)강북직업소개소
4th row(주)청도직업소개소
5th row성주인력개발직업소개소
ValueCountFrequency (%)
직업소개소 26
 
8.8%
희망파출부 5
 
1.7%
강북점 4
 
1.4%
장안직업소개소 4
 
1.4%
세화파출박사 4
 
1.4%
두레직업소개소 3
 
1.0%
산후도우미 2
 
0.7%
주식회사 2
 
0.7%
강북 2
 
0.7%
온누리에이전시 2
 
0.7%
Other values (214) 240
81.6%
2024-05-11T15:04:20.379392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 274
 
13.9%
개 158
 
8.0%
업 153
 
7.8%
직 136
 
6.9%
인 90
 
4.6%
력 74
 
3.8%
48
 
2.4%
사 28
 
1.4%
주 27
 
1.4%
미 24
 
1.2%
Other values (236) 953
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1841
93.7%
Space Separator 48
 
2.4%
Close Punctuation 22
 
1.1%
Open Punctuation 22
 
1.1%
Uppercase Letter 14
 
0.7%
Other Punctuation 7
 
0.4%
Decimal Number 6
 
0.3%
Lowercase Letter 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 274
 
14.9%
개 158
 
8.6%
업 153
 
8.3%
직 136
 
7.4%
인 90
 
4.9%
력 74
 
4.0%
사 28
 
1.5%
주 27
 
1.5%
미 24
 
1.3%
북 20
 
1.1%
Other values (213) 857
46.6%
Uppercase Letter
ValueCountFrequency (%)
K 5
35.7%
O 3
21.4%
S 1
 
7.1%
G 1
 
7.1%
A 1
 
7.1%
J 1
 
7.1%
N 1
 
7.1%
T 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
b 1
20.0%
o 1
20.0%
s 1
20.0%
e 1
20.0%
h 1
20.0%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
8 2
33.3%
4 1
16.7%
1 1
16.7%
Other Punctuation
ValueCountFrequency (%)
? 3
42.9%
. 3
42.9%
& 1
 
14.3%
Space Separator
ValueCountFrequency (%)
48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1841
93.7%
Common 105
 
5.3%
Latin 19
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 274
 
14.9%
개 158
 
8.6%
업 153
 
8.3%
직 136
 
7.4%
인 90
 
4.9%
력 74
 
4.0%
사 28
 
1.5%
주 27
 
1.5%
미 24
 
1.3%
북 20
 
1.1%
Other values (213) 857
46.6%
Latin
ValueCountFrequency (%)
K 5
26.3%
O 3
15.8%
b 1
 
5.3%
o 1
 
5.3%
S 1
 
5.3%
G 1
 
5.3%
A 1
 
5.3%
s 1
 
5.3%
J 1
 
5.3%
N 1
 
5.3%
Other values (3) 3
15.8%
Common
ValueCountFrequency (%)
48
45.7%
) 22
21.0%
( 22
21.0%
? 3
 
2.9%
. 3
 
2.9%
2 2
 
1.9%
8 2
 
1.9%
& 1
 
1.0%
4 1
 
1.0%
1 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1841
93.7%
ASCII 124
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 274
 
14.9%
개 158
 
8.6%
업 153
 
8.3%
직 136
 
7.4%
인 90
 
4.9%
력 74
 
4.0%
사 28
 
1.5%
주 27
 
1.5%
미 24
 
1.3%
북 20
 
1.1%
Other values (213) 857
46.6%
ASCII
ValueCountFrequency (%)
48
38.7%
) 22
17.7%
( 22
17.7%
K 5
 
4.0%
? 3
 
2.4%
O 3
 
2.4%
. 3
 
2.4%
2 2
 
1.6%
8 2
 
1.6%
b 1
 
0.8%
Other values (13) 13
 
10.5%

최종수정일자
Date

UNIQUE 

Distinct246
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2002-12-17 10:47:25
Maximum2024-05-08 16:05:55
2024-05-11T15:04:20.523850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:20.681184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
I
144 
U
102 

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 144
58.5%
U 102
41.5%

Length

2024-05-11T15:04:20.816328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:04:20.914007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 144
58.5%
u 102
41.5%

데이터갱신일자
Date

Distinct86
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T15:04:21.054886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:21.234010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing246
Missing (%)100.0%
Memory size2.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct192
Distinct (%)81.7%
Missing11
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean203031.98
Minimum174500.15
Maximum358951.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T15:04:21.630214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174500.15
5-th percentile200772.01
Q1201927.16
median202155.4
Q3202530.45
95-th percentile206084.82
Maximum358951.73
Range184451.58
Interquartile range (IQR)603.28938

Descriptive statistics

Standard deviation10863.987
Coefficient of variation (CV)0.053508748
Kurtosis183.5161
Mean203031.98
Median Absolute Deviation (MAD)270.86096
Skewness12.742561
Sum47712516
Variance1.1802622 × 108
MonotonicityNot monotonic
2024-05-11T15:04:21.763977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202155.401317068 10
 
4.1%
201996.772638212 8
 
3.3%
204717.355064426 5
 
2.0%
200886.333781015 4
 
1.6%
202361.023229994 3
 
1.2%
201720.686531552 3
 
1.2%
202035.088189829 3
 
1.2%
202000.513660624 2
 
0.8%
202264.429716671 2
 
0.8%
202317.064607714 2
 
0.8%
Other values (182) 193
78.5%
(Missing) 11
 
4.5%
ValueCountFrequency (%)
174500.15012717 1
0.4%
187395.022498257 1
0.4%
190687.029886275 1
0.4%
192395.20221049 1
0.4%
193208.713797736 1
0.4%
193445.932511199 1
0.4%
196711.892278807 1
0.4%
197941.608729367 1
0.4%
199663.989241815 1
0.4%
200407.996396077 1
0.4%
ValueCountFrequency (%)
358951.725687419 1
0.4%
233583.370097 1
0.4%
213700.280368076 1
0.4%
212771.950892437 1
0.4%
212216.469825314 1
0.4%
210539.776297164 1
0.4%
210485.243434 1
0.4%
209686.725649 1
0.4%
207059.790535471 1
0.4%
206961.390230248 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct192
Distinct (%)81.7%
Missing11
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean455541.91
Minimum245071.84
Maximum500476.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-05-11T15:04:21.894824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum245071.84
5-th percentile447580.59
Q1457651.68
median458818.03
Q3459453.62
95-th percentile462961.78
Maximum500476.45
Range255404.61
Interquartile range (IQR)1801.9407

Descriptive statistics

Standard deviation23718.448
Coefficient of variation (CV)0.052066444
Kurtosis55.179873
Mean455541.91
Median Absolute Deviation (MAD)893.41289
Skewness-7.1639723
Sum1.0705235 × 108
Variance5.6256476 × 108
MonotonicityNot monotonic
2024-05-11T15:04:22.032581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
459411.940883021 10
 
4.1%
459341.412320599 8
 
3.3%
457038.763248602 5
 
2.0%
457645.184347648 4
 
1.6%
457924.621214971 3
 
1.2%
459256.314653965 3
 
1.2%
458771.068971335 3
 
1.2%
458815.97773382 2
 
0.8%
459350.038453063 2
 
0.8%
459590.573498344 2
 
0.8%
Other values (182) 193
78.5%
(Missing) 11
 
4.5%
ValueCountFrequency (%)
245071.837243 1
0.4%
259177.414696 1
0.4%
313441.19151 1
0.4%
319880.890321774 1
0.4%
424719.423748005 1
0.4%
430413.628994909 1
0.4%
433355.502571288 1
0.4%
441345.880869077 1
0.4%
441997.934768392 1
0.4%
442035.353608509 1
0.4%
ValueCountFrequency (%)
500476.449949497 1
0.4%
481060.536532907 1
0.4%
477687.256667244 1
0.4%
471254.700506907 1
0.4%
470840.235541662 1
0.4%
470517.636514255 1
0.4%
469750.612982877 1
0.4%
469188.296076335 1
0.4%
468282.542938235 1
0.4%
467921.590891865 1
0.4%

법인구분명
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
개인
159 
<NA>
74 
법인
 
13

Length

Max length4
Median length2
Mean length2.601626
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 159
64.6%
<NA> 74
30.1%
법인 13
 
5.3%

Length

2024-05-11T15:04:22.186336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:04:22.306683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 159
64.6%
na 74
30.1%
법인 13
 
5.3%

구분명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
유료
172 
<NA>
74 

Length

Max length4
Median length2
Mean length2.601626
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 172
69.9%
<NA> 74
30.1%

Length

2024-05-11T15:04:22.449905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:04:22.576091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 172
69.9%
na 74
30.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03080000199130800721150000119910918<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 종암동 104번지 1호 8통 2반 에스케이아파트 104 1005서울특별시 성북구 종암로24가길 53, 104동 1005호 (종암동,에스케이아파트)<NA>장안직업소개소2003-10-16 13:37:27I2018-08-31 23:59:59.0<NA>203196.800963455429.84627개인유료
13080000199630800721150000119961224<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 333번지 16호 14통 6반 1층서울특별시 마포구 와우산로29라길 26 (서교동,1층)<NA>삼양직업소개소2004-01-28 08:47:10I2018-08-31 23:59:59.0<NA>193445.932511450285.429994개인유료
23080000199630800721150000219961014<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 234호 1통 1반 주공아파트 401 201서울특별시 강북구 오현로 207, 401동 201호 (번동,주공아파트)<NA>(주)강북직업소개소2004-10-05 17:21:25I2018-08-31 23:59:59.0<NA>203395.513845458722.598633법인유료
33080000199730800721150000119970829<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 의정부시 호원동 450번지 2호 45통 1반 유원아파트 101 1401경기도 의정부시 평화로244번길 25, 101동 1401호 (호원동,유원아파트)<NA>(주)청도직업소개소2003-12-16 14:37:30I2018-08-31 23:59:59.0<NA>204222.221676467921.590892법인유료
43080000199930800721150000119990127<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 172번지 177호 6통 8반서울특별시 강북구 한천로140길 37-4 (수유동)<NA>성주인력개발직업소개소2005-11-01 18:46:45I2018-08-31 23:59:59.0<NA>202416.19356459906.531488개인유료
53080000199930800721150000219990705<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 의정부시 신곡동 169번지 20호 22통 3반 성원아파트 102 101<NA><NA>일터직업소개소2003-10-17 14:12:30I2018-08-31 23:59:59.0<NA>206327.601531470517.636514개인유료
63080000199930800721150000319990127<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 장위동 88번지 11호 12통 1반서울특별시 성북구 장위로45길 18-6 (장위동)<NA>박동순직업소개소2004-06-24 10:32:05I2018-08-31 23:59:59.0<NA>204717.355064457038.763249개인유료
73080000199930800721150000419991109<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 401번지 2호 4통 5반 성보빌라 B01서울특별시 강북구 삼양로88가길 12-3, B01호 (수유동,성보빌라)<NA>제일직업소개소2005-03-03 11:47:10I2018-08-31 23:59:59.0<NA>201537.954056459268.439032개인유료
83080000199930800721150000519990917<NA>3폐업40폐업20190624<NA><NA><NA>02 980 1186<NA><NA>서울특별시 강북구 미아동 688번지 5호 삼양아케이트 401호서울특별시 강북구 솔샘로 254, 401호 (미아동,삼양아케이트)<NA>경미직업소개소2019-07-08 11:00:23U2019-07-10 02:40:00.0<NA>201762.419935457441.24407개인유료
93080000200030800721150000120000310<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 192번지 74호 13통 8반서울특별시 강북구 한천로139가길 19-4 (수유동)<NA>거명인력직업소개소2006-07-21 16:40:12I2018-08-31 23:59:59.0<NA>202136.633255459756.861662개인유료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
236308000020223080169145000072022-10-06<NA>5제외/삭제/전출50타시군구이관2023-05-18<NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 3-29서울특별시 강북구 오패산로30길 75, 2층 (미아동)01233희망컨설팅 직업소개소2023-05-18 16:11:34U2022-12-04 22:00:00.0<NA>203024.990116457135.973713<NA><NA>
237308000020223080169145000082022-10-31<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 304-2 상아빌딩서울특별시 강북구 도봉로 191, 상아빌딩 4층 249호 (미아동)01170이실장 직업소개소2023-08-31 09:55:37U2022-12-09 00:02:00.0<NA>202228.431718458158.105668<NA><NA>
238308000020233080191145000012023-03-30<NA>3폐업40폐업2023-11-26<NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 305-39서울특별시 강북구 도봉로49길 25(미아동)01170미아인력2023-11-28 10:34:56U2022-10-31 21:00:00.0<NA>202138.895507458055.37452<NA><NA>
239308000020233080191145000022023-07-24<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 217-45서울특별시 강북구 도봉로65길 12 (미아동)01118힘찬인력직업소개소2024-04-30 13:51:08U2023-12-05 00:02:00.0<NA>202036.416461458612.360417<NA><NA>
240308000020233080191145000032023-02-08<NA>1영업/정상20영업중<NA><NA><NA><NA>02 988 8245<NA><NA>서울특별시 강북구 미아동 742-2서울특별시 강북구 삼양로46길 12, 1층 (미아동)01173한국인력공사2024-01-16 16:25:04U2023-11-30 23:08:00.0<NA>201742.958929457803.097126<NA><NA>
241308000020233080191145000042023-09-26<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 688-2서울특별시 강북구 노해로32길 16, 1층 (수유동)01051형제인력2023-10-11 09:12:18U2022-10-30 23:03:00.0<NA>202116.326632460277.016068<NA><NA>
242308000020233080191145000052022-03-22<NA>1영업/정상20영업중<NA><NA><NA><NA>02 9551070<NA><NA>서울특별시 강북구 미아동 217-16서울특별시 강북구 솔매로45길 83, 201호 (미아동)01118준호건설인력2023-10-27 11:44:11U2022-10-30 22:09:00.0<NA>202043.162183458579.686972<NA><NA>
243308000020233080191145000062023-12-21<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 48-23서울특별시 강북구 덕릉로24길 6, 8층 (수유동)01113인사이트넷2024-05-08 16:04:32U2023-12-04 23:00:00.0<NA>201861.026049459105.467901<NA><NA>
244308000020243080211145000012021-06-14<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 411-17서울특별시 강북구 한천로123길 39, 지하 1층 (번동)01068아진인력2024-01-10 16:09:20U2023-11-30 23:02:00.0<NA>202560.708466459280.773547<NA><NA>
245308000020243080211145000032024-03-28<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 90-14 동경빌딩서울특별시 강북구 도봉로77길 15, 동경빌딩 3층 (수유동)01114원투건설인력2024-03-28 14:27:51I2023-12-02 21:00:00.0<NA>201904.809235459018.8726<NA><NA>