Overview

Dataset statistics

Number of variables27
Number of observations371
Missing cells3350
Missing cells (%)33.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory83.1 KiB
Average record size in memory229.4 B

Variable types

Categorical8
Numeric4
DateTime4
Unsupported6
Text5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),법인구분명,구분명
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-20207/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 371 (100.0%) missing valuesMissing
폐업일자 has 236 (63.6%) missing valuesMissing
휴업시작일자 has 371 (100.0%) missing valuesMissing
휴업종료일자 has 371 (100.0%) missing valuesMissing
재개업일자 has 371 (100.0%) missing valuesMissing
전화번호 has 259 (69.8%) missing valuesMissing
소재지면적 has 371 (100.0%) missing valuesMissing
소재지우편번호 has 308 (83.0%) missing valuesMissing
도로명주소 has 59 (15.9%) missing valuesMissing
도로명우편번호 has 208 (56.1%) missing valuesMissing
업태구분명 has 371 (100.0%) missing valuesMissing
좌표정보(X) has 26 (7.0%) missing valuesMissing
좌표정보(Y) has 26 (7.0%) 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 6 (1.6%) zerosZeros

Reproduction

Analysis started2024-05-11 06:16:59.004536
Analysis finished2024-05-11 06:16:59.877802
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
3050000
371 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 371
100.0%

Length

2024-05-11T15:16:59.969439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:17:00.089474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 371
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct371
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0080867 × 1018
Minimum1.996305 × 1018
Maximum2.024305 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-05-11T15:17:00.259918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.996305 × 1018
5-th percentile1.998305 × 1018
Q12.002305 × 1018
median2.005305 × 1018
Q32.014305 × 1018
95-th percentile2.022305 × 1018
Maximum2.024305 × 1018
Range2.8000013 × 1016
Interquartile range (IQR)1.2000006 × 1016

Descriptive statistics

Standard deviation7.8125569 × 1015
Coefficient of variation (CV)0.0038905476
Kurtosis-0.9079817
Mean2.0080867 × 1018
Median Absolute Deviation (MAD)4.0000041 × 1015
Skewness0.62503583
Sum7.1303961 × 1018
Variance6.1036045 × 1031
MonotonicityStrictly increasing
2024-05-11T15:17:00.506143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1996305008211500001 1
 
0.3%
2010305012314500002 1
 
0.3%
2011305013714500004 1
 
0.3%
2011305013714500003 1
 
0.3%
2011305013714500002 1
 
0.3%
2011305013714500001 1
 
0.3%
2011305012314500003 1
 
0.3%
2011305012314500002 1
 
0.3%
2010305012314500005 1
 
0.3%
2010305012314500004 1
 
0.3%
Other values (361) 361
97.3%
ValueCountFrequency (%)
1996305008211500001 1
0.3%
1996305008211500002 1
0.3%
1996305008211500003 1
0.3%
1996305008211500004 1
0.3%
1997305008211500001 1
0.3%
1997305008211500002 1
0.3%
1997305008211500003 1
0.3%
1997305008211500004 1
0.3%
1997305008211500005 1
0.3%
1997305008211500006 1
0.3%
ValueCountFrequency (%)
2024305021114500003 1
0.3%
2024305021114500002 1
0.3%
2024305021114500001 1
0.3%
2023305021114500014 1
0.3%
2023305021114500013 1
0.3%
2023305021114500012 1
0.3%
2023305021114500011 1
0.3%
2023305021114500010 1
0.3%
2023305021114500009 1
0.3%
2023305021114500008 1
0.3%

인허가일자
Date

Distinct332
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum1996-05-20 00:00:00
Maximum2024-02-22 00:00:00
2024-05-11T15:17:00.804294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:17:01.062420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
3
288 
1
60 
5
 
16
4
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 288
77.6%
1 60
 
16.2%
5 16
 
4.3%
4 7
 
1.9%

Length

2024-05-11T15:17:01.246751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:17:01.414696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 288
77.6%
1 60
 
16.2%
5 16
 
4.3%
4 7
 
1.9%

영업상태명
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
폐업
288 
영업/정상
60 
제외/삭제/전출
 
16
취소/말소/만료/정지/중지
 
7

Length

Max length14
Median length2
Mean length2.9703504
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 288
77.6%
영업/정상 60
 
16.2%
제외/삭제/전출 16
 
4.3%
취소/말소/만료/정지/중지 7
 
1.9%

Length

2024-05-11T15:17:01.589187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:17:01.779913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 288
77.6%
영업/정상 60
 
16.2%
제외/삭제/전출 16
 
4.3%
취소/말소/만료/정지/중지 7
 
1.9%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
40
288 
20
60 
50
 
16
70
 
7

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
40 288
77.6%
20 60
 
16.2%
50 16
 
4.3%
70 7
 
1.9%

Length

2024-05-11T15:17:01.942449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:17:02.112848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 288
77.6%
20 60
 
16.2%
50 16
 
4.3%
70 7
 
1.9%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
폐업
288 
영업중
60 
타시군구이관
 
16
등록취소
 
7

Length

Max length6
Median length2
Mean length2.3719677
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 288
77.6%
영업중 60
 
16.2%
타시군구이관 16
 
4.3%
등록취소 7
 
1.9%

Length

2024-05-11T15:17:02.316347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:17:02.496344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 288
77.6%
영업중 60
 
16.2%
타시군구이관 16
 
4.3%
등록취소 7
 
1.9%

폐업일자
Date

MISSING 

Distinct133
Distinct (%)98.5%
Missing236
Missing (%)63.6%
Memory size3.0 KiB
Minimum2004-05-14 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T15:17:02.663176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:17:02.908544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

전화번호
Text

MISSING 

Distinct108
Distinct (%)96.4%
Missing259
Missing (%)69.8%
Memory size3.0 KiB
2024-05-11T15:17:03.429333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.9910714
Min length7

Characters and Unicode

Total characters1007
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

Unique104 ?
Unique (%)92.9%

Sample

1st row029697722
2nd row22449666
3rd row0222178661
4th row9666185
5th row9663402
ValueCountFrequency (%)
02 14
 
10.1%
0222470479 2
 
1.4%
9640843 2
 
1.4%
925 2
 
1.4%
926 2
 
1.4%
9678787 2
 
1.4%
0222443399 2
 
1.4%
029638333 1
 
0.7%
0218994644 1
 
0.7%
9288259 1
 
0.7%
Other values (110) 110
79.1%
2024-05-11T15:17:04.034030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 204
20.3%
0 135
13.4%
9 119
11.8%
4 104
10.3%
5 78
 
7.7%
3 76
 
7.5%
7 74
 
7.3%
6 74
 
7.3%
1 56
 
5.6%
8 47
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 967
96.0%
Space Separator 40
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 204
21.1%
0 135
14.0%
9 119
12.3%
4 104
10.8%
5 78
 
8.1%
3 76
 
7.9%
7 74
 
7.7%
6 74
 
7.7%
1 56
 
5.8%
8 47
 
4.9%
Space Separator
ValueCountFrequency (%)
40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1007
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 204
20.3%
0 135
13.4%
9 119
11.8%
4 104
10.3%
5 78
 
7.7%
3 76
 
7.5%
7 74
 
7.3%
6 74
 
7.3%
1 56
 
5.6%
8 47
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1007
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 204
20.3%
0 135
13.4%
9 119
11.8%
4 104
10.3%
5 78
 
7.7%
3 76
 
7.5%
7 74
 
7.3%
6 74
 
7.3%
1 56
 
5.6%
8 47
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)54.0%
Missing308
Missing (%)83.0%
Infinite0
Infinite (%)0.0%
Mean117951.43
Minimum0
Maximum130878
Zeros6
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-05-11T15:17:04.257068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1130031
median130723
Q3130839.5
95-th percentile130875.6
Maximum130878
Range130878
Interquartile range (IQR)808.5

Descriptive statistics

Standard deviation38589.737
Coefficient of variation (CV)0.32716634
Kurtosis6.1655559
Mean117951.43
Median Absolute Deviation (MAD)155
Skewness-2.8218523
Sum7430940
Variance1.4891678 × 109
MonotonicityNot monotonic
2024-05-11T15:17:04.423116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 6
 
1.6%
130010 5
 
1.3%
130060 4
 
1.1%
130070 4
 
1.1%
130110 3
 
0.8%
130876 3
 
0.8%
130031 3
 
0.8%
130820 3
 
0.8%
130810 2
 
0.5%
130840 2
 
0.5%
Other values (24) 28
 
7.5%
(Missing) 308
83.0%
ValueCountFrequency (%)
0 6
1.6%
122828 1
 
0.3%
130010 5
1.3%
130020 1
 
0.3%
130030 1
 
0.3%
130031 3
0.8%
130060 4
1.1%
130070 4
1.1%
130090 2
 
0.5%
130104 1
 
0.3%
ValueCountFrequency (%)
130878 1
 
0.3%
130876 3
0.8%
130872 1
 
0.3%
130870 1
 
0.3%
130867 2
0.5%
130865 1
 
0.3%
130864 2
0.5%
130859 1
 
0.3%
130854 1
 
0.3%
130842 1
 
0.3%

지번주소
Text

Distinct362
Distinct (%)98.1%
Missing2
Missing (%)0.5%
Memory size3.0 KiB
2024-05-11T15:17:04.855558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length32.195122
Min length19

Characters and Unicode

Total characters11880
Distinct characters259
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

Unique355 ?
Unique (%)96.2%

Sample

1st row서울특별시 종로구 충신동 195호 8통 5반
2nd row서울특별시 강북구 번동 436번지 6호 18통 3반
3rd row서울특별시 동대문구 청량리동 235번지 11호 3통 3반 미주아파트 3 706
4th row서울특별시 중랑구 면목동 636번지 7호 2통 6반
5th row서울특별시 동대문구 제기동 1004번지
ValueCountFrequency (%)
서울특별시 320
 
12.5%
동대문구 197
 
7.7%
신설동 33
 
1.3%
경기도 33
 
1.3%
1반 31
 
1.2%
1호 29
 
1.1%
용두동 29
 
1.1%
3반 29
 
1.1%
장안동 28
 
1.1%
5반 24
 
0.9%
Other values (907) 1813
70.7%
2024-05-11T15:17:05.579076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2464
20.7%
동 601
 
5.1%
1 590
 
5.0%
3 372
 
3.1%
호 370
 
3.1%
2 366
 
3.1%
시 365
 
3.1%
0 348
 
2.9%
구 344
 
2.9%
서 335
 
2.8%
Other values (249) 5725
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6501
54.7%
Decimal Number 2824
23.8%
Space Separator 2464
 
20.7%
Dash Punctuation 42
 
0.4%
Uppercase Letter 29
 
0.2%
Open Punctuation 9
 
0.1%
Close Punctuation 9
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 601
 
9.2%
호 370
 
5.7%
시 365
 
5.6%
구 344
 
5.3%
서 335
 
5.2%
울 324
 
5.0%
별 321
 
4.9%
특 321
 
4.9%
지 267
 
4.1%
번 254
 
3.9%
Other values (220) 2999
46.1%
Uppercase Letter
ValueCountFrequency (%)
A 8
27.6%
B 6
20.7%
E 2
 
6.9%
K 2
 
6.9%
S 2
 
6.9%
G 1
 
3.4%
R 1
 
3.4%
F 1
 
3.4%
T 1
 
3.4%
W 1
 
3.4%
Other values (4) 4
13.8%
Decimal Number
ValueCountFrequency (%)
1 590
20.9%
3 372
13.2%
2 366
13.0%
0 348
12.3%
4 270
9.6%
5 230
 
8.1%
6 186
 
6.6%
7 174
 
6.2%
9 146
 
5.2%
8 142
 
5.0%
Space Separator
ValueCountFrequency (%)
2464
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6501
54.7%
Common 5350
45.0%
Latin 29
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 601
 
9.2%
호 370
 
5.7%
시 365
 
5.6%
구 344
 
5.3%
서 335
 
5.2%
울 324
 
5.0%
별 321
 
4.9%
특 321
 
4.9%
지 267
 
4.1%
번 254
 
3.9%
Other values (220) 2999
46.1%
Common
ValueCountFrequency (%)
2464
46.1%
1 590
 
11.0%
3 372
 
7.0%
2 366
 
6.8%
0 348
 
6.5%
4 270
 
5.0%
5 230
 
4.3%
6 186
 
3.5%
7 174
 
3.3%
9 146
 
2.7%
Other values (5) 204
 
3.8%
Latin
ValueCountFrequency (%)
A 8
27.6%
B 6
20.7%
E 2
 
6.9%
K 2
 
6.9%
S 2
 
6.9%
G 1
 
3.4%
R 1
 
3.4%
F 1
 
3.4%
T 1
 
3.4%
W 1
 
3.4%
Other values (4) 4
13.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6501
54.7%
ASCII 5379
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2464
45.8%
1 590
 
11.0%
3 372
 
6.9%
2 366
 
6.8%
0 348
 
6.5%
4 270
 
5.0%
5 230
 
4.3%
6 186
 
3.5%
7 174
 
3.2%
9 146
 
2.7%
Other values (19) 233
 
4.3%
Hangul
ValueCountFrequency (%)
동 601
 
9.2%
호 370
 
5.7%
시 365
 
5.6%
구 344
 
5.3%
서 335
 
5.2%
울 324
 
5.0%
별 321
 
4.9%
특 321
 
4.9%
지 267
 
4.1%
번 254
 
3.9%
Other values (220) 2999
46.1%

도로명주소
Text

MISSING 

Distinct304
Distinct (%)97.4%
Missing59
Missing (%)15.9%
Memory size3.0 KiB
2024-05-11T15:17:06.345671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length32.935897
Min length17

Characters and Unicode

Total characters10276
Distinct characters273
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

Unique296 ?
Unique (%)94.9%

Sample

1st row서울특별시 종로구 율곡로22가길 27 (충신동)
2nd row서울특별시 강북구 덕릉로 152-11 (번동)
3rd row서울특별시 동대문구 약령시로 154, 3동 706호 (청량리동,미주아파트)
4th row서울특별시 중랑구 사가정로 382 (면목동)
5th row서울특별시 동대문구 왕산로 157 (제기동)
ValueCountFrequency (%)
서울특별시 290
 
15.0%
동대문구 196
 
10.2%
왕산로 47
 
2.4%
신설동 35
 
1.8%
천호대로 29
 
1.5%
용두동 28
 
1.5%
장안동 26
 
1.3%
3층 23
 
1.2%
휘경동 21
 
1.1%
청량리동 19
 
1.0%
Other values (704) 1216
63.0%
2024-05-11T15:17:07.004165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1619
 
15.8%
동 602
 
5.9%
1 420
 
4.1%
시 324
 
3.2%
로 317
 
3.1%
, 313
 
3.0%
( 311
 
3.0%
) 311
 
3.0%
서 307
 
3.0%
구 304
 
3.0%
Other values (263) 5448
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5894
57.4%
Decimal Number 1739
 
16.9%
Space Separator 1619
 
15.8%
Other Punctuation 313
 
3.0%
Open Punctuation 311
 
3.0%
Close Punctuation 311
 
3.0%
Dash Punctuation 61
 
0.6%
Uppercase Letter 28
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 602
 
10.2%
시 324
 
5.5%
로 317
 
5.4%
서 307
 
5.2%
구 304
 
5.2%
울 296
 
5.0%
특 291
 
4.9%
별 291
 
4.9%
대 255
 
4.3%
문 217
 
3.7%
Other values (234) 2690
45.6%
Uppercase Letter
ValueCountFrequency (%)
B 7
25.0%
A 6
21.4%
K 2
 
7.1%
E 2
 
7.1%
S 2
 
7.1%
R 1
 
3.6%
W 1
 
3.6%
O 1
 
3.6%
T 1
 
3.6%
F 1
 
3.6%
Other values (4) 4
14.3%
Decimal Number
ValueCountFrequency (%)
1 420
24.2%
2 280
16.1%
0 232
13.3%
3 217
12.5%
4 132
 
7.6%
5 126
 
7.2%
7 85
 
4.9%
6 85
 
4.9%
8 81
 
4.7%
9 81
 
4.7%
Space Separator
ValueCountFrequency (%)
1619
100.0%
Other Punctuation
ValueCountFrequency (%)
, 313
100.0%
Open Punctuation
ValueCountFrequency (%)
( 311
100.0%
Close Punctuation
ValueCountFrequency (%)
) 311
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5894
57.4%
Common 4354
42.4%
Latin 28
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 602
 
10.2%
시 324
 
5.5%
로 317
 
5.4%
서 307
 
5.2%
구 304
 
5.2%
울 296
 
5.0%
특 291
 
4.9%
별 291
 
4.9%
대 255
 
4.3%
문 217
 
3.7%
Other values (234) 2690
45.6%
Common
ValueCountFrequency (%)
1619
37.2%
1 420
 
9.6%
, 313
 
7.2%
( 311
 
7.1%
) 311
 
7.1%
2 280
 
6.4%
0 232
 
5.3%
3 217
 
5.0%
4 132
 
3.0%
5 126
 
2.9%
Other values (5) 393
 
9.0%
Latin
ValueCountFrequency (%)
B 7
25.0%
A 6
21.4%
K 2
 
7.1%
E 2
 
7.1%
S 2
 
7.1%
R 1
 
3.6%
W 1
 
3.6%
O 1
 
3.6%
T 1
 
3.6%
F 1
 
3.6%
Other values (4) 4
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5894
57.4%
ASCII 4382
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1619
36.9%
1 420
 
9.6%
, 313
 
7.1%
( 311
 
7.1%
) 311
 
7.1%
2 280
 
6.4%
0 232
 
5.3%
3 217
 
5.0%
4 132
 
3.0%
5 126
 
2.9%
Other values (19) 421
 
9.6%
Hangul
ValueCountFrequency (%)
동 602
 
10.2%
시 324
 
5.5%
로 317
 
5.4%
서 307
 
5.2%
구 304
 
5.2%
울 296
 
5.0%
특 291
 
4.9%
별 291
 
4.9%
대 255
 
4.3%
문 217
 
3.7%
Other values (234) 2690
45.6%

도로명우편번호
Text

MISSING 

Distinct87
Distinct (%)53.4%
Missing208
Missing (%)56.1%
Memory size3.0 KiB
2024-05-11T15:17:07.366136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4601227
Min length5

Characters and Unicode

Total characters890
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)31.9%

Sample

1st row130060
2nd row130-090
3rd row130870
4th row130-010
5th row130862
ValueCountFrequency (%)
02566 8
 
4.9%
02580 6
 
3.7%
02581 6
 
3.7%
02490 6
 
3.7%
02633 5
 
3.1%
02439 5
 
3.1%
02586 5
 
3.1%
130010 5
 
3.1%
130110 5
 
3.1%
02582 4
 
2.5%
Other values (77) 108
66.3%
2024-05-11T15:17:07.900289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 234
26.3%
2 129
14.5%
1 108
12.1%
3 104
11.7%
5 68
 
7.6%
6 65
 
7.3%
8 64
 
7.2%
4 51
 
5.7%
9 32
 
3.6%
7 25
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 880
98.9%
Dash Punctuation 10
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 234
26.6%
2 129
14.7%
1 108
12.3%
3 104
11.8%
5 68
 
7.7%
6 65
 
7.4%
8 64
 
7.3%
4 51
 
5.8%
9 32
 
3.6%
7 25
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 890
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 234
26.3%
2 129
14.5%
1 108
12.1%
3 104
11.7%
5 68
 
7.6%
6 65
 
7.3%
8 64
 
7.2%
4 51
 
5.7%
9 32
 
3.6%
7 25
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 890
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 234
26.3%
2 129
14.5%
1 108
12.1%
3 104
11.7%
5 68
 
7.6%
6 65
 
7.3%
8 64
 
7.2%
4 51
 
5.7%
9 32
 
3.6%
7 25
 
2.8%

사업장명
Text

Distinct317
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-05-11T15:17:08.157910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length7.1320755
Min length2

Characters and Unicode

Total characters2646
Distinct characters322
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

Unique276 ?
Unique (%)74.4%

Sample

1st row임경환직업소개소
2nd row김병호직업소개소
3rd row윤한용직업소개소
4th row이종건직업소개소
5th row설혜정취업센터
ValueCountFrequency (%)
직업소개소 11
 
2.6%
인력 6
 
1.4%
제일직업소개소 4
 
1.0%
극동직업소개소 4
 
1.0%
지성직업소개소 4
 
1.0%
동방직업소개소 3
 
0.7%
동대문 3
 
0.7%
현대직업소개소 3
 
0.7%
주식회사 3
 
0.7%
장안인력센터 3
 
0.7%
Other values (332) 372
89.4%
2024-05-11T15:17:08.552661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 319
 
12.1%
업 183
 
6.9%
개 179
 
6.8%
직 158
 
6.0%
인 111
 
4.2%
력 104
 
3.9%
주 50
 
1.9%
( 48
 
1.8%
) 48
 
1.8%
45
 
1.7%
Other values (312) 1401
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2426
91.7%
Open Punctuation 48
 
1.8%
Close Punctuation 48
 
1.8%
Space Separator 45
 
1.7%
Lowercase Letter 30
 
1.1%
Uppercase Letter 27
 
1.0%
Decimal Number 16
 
0.6%
Other Punctuation 4
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 319
 
13.1%
업 183
 
7.5%
개 179
 
7.4%
직 158
 
6.5%
인 111
 
4.6%
력 104
 
4.3%
주 50
 
2.1%
대 44
 
1.8%
성 37
 
1.5%
동 34
 
1.4%
Other values (271) 1207
49.8%
Lowercase Letter
ValueCountFrequency (%)
h 5
16.7%
e 4
13.3%
i 3
10.0%
l 2
 
6.7%
t 2
 
6.7%
a 2
 
6.7%
c 2
 
6.7%
r 2
 
6.7%
z 1
 
3.3%
n 1
 
3.3%
Other values (6) 6
20.0%
Uppercase Letter
ValueCountFrequency (%)
S 4
14.8%
A 3
11.1%
M 3
11.1%
J 3
11.1%
H 2
7.4%
O 2
7.4%
P 2
7.4%
C 2
7.4%
I 2
7.4%
K 1
 
3.7%
Other values (3) 3
11.1%
Decimal Number
ValueCountFrequency (%)
0 4
25.0%
8 4
25.0%
1 3
18.8%
2 3
18.8%
4 2
12.5%
Other Punctuation
ValueCountFrequency (%)
/ 2
50.0%
& 1
25.0%
, 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2426
91.7%
Common 163
 
6.2%
Latin 57
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 319
 
13.1%
업 183
 
7.5%
개 179
 
7.4%
직 158
 
6.5%
인 111
 
4.6%
력 104
 
4.3%
주 50
 
2.1%
대 44
 
1.8%
성 37
 
1.5%
동 34
 
1.4%
Other values (271) 1207
49.8%
Latin
ValueCountFrequency (%)
h 5
 
8.8%
S 4
 
7.0%
e 4
 
7.0%
A 3
 
5.3%
M 3
 
5.3%
J 3
 
5.3%
i 3
 
5.3%
l 2
 
3.5%
H 2
 
3.5%
t 2
 
3.5%
Other values (19) 26
45.6%
Common
ValueCountFrequency (%)
( 48
29.4%
) 48
29.4%
45
27.6%
0 4
 
2.5%
8 4
 
2.5%
1 3
 
1.8%
2 3
 
1.8%
/ 2
 
1.2%
4 2
 
1.2%
- 2
 
1.2%
Other values (2) 2
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2426
91.7%
ASCII 220
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 319
 
13.1%
업 183
 
7.5%
개 179
 
7.4%
직 158
 
6.5%
인 111
 
4.6%
력 104
 
4.3%
주 50
 
2.1%
대 44
 
1.8%
성 37
 
1.5%
동 34
 
1.4%
Other values (271) 1207
49.8%
ASCII
ValueCountFrequency (%)
( 48
21.8%
) 48
21.8%
45
20.5%
h 5
 
2.3%
0 4
 
1.8%
S 4
 
1.8%
e 4
 
1.8%
8 4
 
1.8%
A 3
 
1.4%
M 3
 
1.4%
Other values (31) 52
23.6%

최종수정일자
Date

UNIQUE 

Distinct371
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2002-11-25 16:52:24
Maximum2024-05-02 15:56:57
2024-05-11T15:17:08.705004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:17:08.883229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
I
271 
U
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 271
73.0%
U 100
 
27.0%

Length

2024-05-11T15:17:09.076938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:17:09.212189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 271
73.0%
u 100
 
27.0%

데이터갱신일자
Date

Distinct94
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T15:17:09.359632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:17:09.546034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing371
Missing (%)100.0%
Memory size3.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct288
Distinct (%)83.5%
Missing26
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean204877.73
Minimum172171.73
Maximum340349.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-05-11T15:17:09.773797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum172171.73
5-th percentile192130.57
Q1202274.59
median204209.86
Q3205926.9
95-th percentile211465.64
Maximum340349.21
Range168177.48
Interquartile range (IQR)3652.3075

Descriptive statistics

Standard deviation13096.678
Coefficient of variation (CV)0.063924361
Kurtosis63.22074
Mean204877.73
Median Absolute Deviation (MAD)1816.1171
Skewness6.6750561
Sum70682817
Variance1.7152297 × 108
MonotonicityNot monotonic
2024-05-11T15:17:09.983763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204089.817117361 7
 
1.9%
203258.377206168 5
 
1.3%
205410.40840974 4
 
1.1%
205428.921463301 4
 
1.1%
204876.569011369 3
 
0.8%
204000.075804996 3
 
0.8%
202266.112953715 3
 
0.8%
204762.02916529 3
 
0.8%
203704.207020897 3
 
0.8%
203894.045626928 3
 
0.8%
Other values (278) 307
82.7%
(Missing) 26
 
7.0%
ValueCountFrequency (%)
172171.729176 1
0.3%
173216.726408772 1
0.3%
175447.194990159 1
0.3%
175475.545136195 1
0.3%
178711.671187 1
0.3%
183898.5184158 1
0.3%
185838.800339468 1
0.3%
186217.393153187 1
0.3%
186481.490789997 1
0.3%
186724.638102233 1
0.3%
ValueCountFrequency (%)
340349.213957476 1
0.3%
332995.558596768 1
0.3%
273511.362744973 2
0.5%
237941.716058 1
0.3%
234791.748451321 1
0.3%
231509.782292191 1
0.3%
226501.523373014 1
0.3%
218888.43770472 1
0.3%
218741.750372175 1
0.3%
218260.879269253 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct288
Distinct (%)83.5%
Missing26
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean448917.21
Minimum173290.33
Maximum481239.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-05-11T15:17:10.256035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173290.33
5-th percentile439190.13
Q1451928.86
median452829.09
Q3454214.68
95-th percentile460914.95
Maximum481239.65
Range307949.32
Interquartile range (IQR)2285.8245

Descriptive statistics

Standard deviation28052.334
Coefficient of variation (CV)0.06248888
Kurtosis61.705184
Mean448917.21
Median Absolute Deviation (MAD)1314.403
Skewness-7.3580608
Sum1.5487644 × 108
Variance7.8693343 × 108
MonotonicityNot monotonic
2024-05-11T15:17:10.429207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453314.135663101 7
 
1.9%
452834.064124525 5
 
1.3%
454214.683402548 4
 
1.1%
451103.146980087 4
 
1.1%
454012.012842021 3
 
0.8%
453199.084464879 3
 
0.8%
452730.589257786 3
 
0.8%
451508.878103131 3
 
0.8%
453045.097960344 3
 
0.8%
453290.190451422 3
 
0.8%
Other values (278) 307
82.7%
(Missing) 26
 
7.0%
ValueCountFrequency (%)
173290.333614 2
0.5%
273774.5748 1
0.3%
303579.902322363 1
0.3%
325758.837664238 1
0.3%
326828.26056 1
0.3%
340022.950851459 1
0.3%
387414.429084376 1
0.3%
396381.227054513 1
0.3%
421744.5493746 1
0.3%
424449.163390531 1
0.3%
ValueCountFrequency (%)
481239.650407762 1
0.3%
481162.371470517 1
0.3%
475997.331998894 1
0.3%
470904.458286928 1
0.3%
470484.702396727 1
0.3%
469146.286212554 1
0.3%
468233.552982304 1
0.3%
465795.001180062 1
0.3%
464814.717432497 1
0.3%
464346.663669239 1
0.3%

법인구분명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
개인
259 
<NA>
85 
법인
27 

Length

Max length4
Median length2
Mean length2.458221
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 259
69.8%
<NA> 85
 
22.9%
법인 27
 
7.3%

Length

2024-05-11T15:17:10.672463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:17:10.884661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 259
69.8%
na 85
 
22.9%
법인 27
 
7.3%

구분명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
유료
286 
<NA>
85 

Length

Max length4
Median length2
Mean length2.458221
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 286
77.1%
<NA> 85
 
22.9%

Length

2024-05-11T15:17:11.091795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:17:11.295593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 286
77.1%
na 85
 
22.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03050000199630500821150000119960520<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 충신동 195호 8통 5반서울특별시 종로구 율곡로22가길 27 (충신동)<NA>임경환직업소개소2002-12-26 16:16:57I2018-08-31 23:59:59.0<NA>200281.340742452432.266039개인유료
13050000199630500821150000219961210<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 436번지 6호 18통 3반서울특별시 강북구 덕릉로 152-11 (번동)<NA>김병호직업소개소2002-12-27 11:06:03I2018-08-31 23:59:59.0<NA>202666.552145459154.257148개인유료
23050000199630500821150000319961212<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 청량리동 235번지 11호 3통 3반 미주아파트 3 706서울특별시 동대문구 약령시로 154, 3동 706호 (청량리동,미주아파트)<NA>윤한용직업소개소2002-12-27 12:14:26I2018-08-31 23:59:59.0<NA>203981.600387453350.907843개인유료
33050000199630500821150000419961212<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 636번지 7호 2통 6반서울특별시 중랑구 사가정로 382 (면목동)<NA>이종건직업소개소2002-12-27 12:27:01I2018-08-31 23:59:59.0<NA>207603.400403453151.150305개인유료
43050000199730500821150000119970123<NA>1영업/정상20영업중<NA><NA><NA><NA>029697722<NA><NA>서울특별시 동대문구 제기동 1004번지서울특별시 동대문구 왕산로 157 (제기동)130060설혜정취업센터2020-01-02 16:20:23U2020-01-04 02:40:00.0<NA>203522.249911452973.230092개인유료
53050000199730500821150000219970204<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 전농동 53호 12통 2반<NA><NA>조연화직업소개소2003-10-15 15:57:34I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
63050000199730500821150000319970217<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 금호동2가 391호 10통 8반<NA><NA>(주)태경직업소개소2006-03-13 14:57:30I2018-08-31 23:59:59.0<NA><NA><NA>법인유료
7305000019973050082115000041997-02-17<NA>1영업/정상20영업중<NA><NA><NA><NA>22449666<NA><NA>서울특별시 동대문구 휘경동 312번지 261호서울특별시 동대문구 망우로 14 (휘경동)130-090(주)시조직업소개소2024-01-05 13:10:04U2023-12-01 00:07:00.0<NA>204799.918173453927.048251<NA><NA>
83050000199730500821150000519970317<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 전농동 53번지 66호 12통 1반<NA><NA>김기동직업소개소2003-03-17 15:03:10I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
93050000199730500821150000619970306<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 65번지 42호 18통 1반서울특별시 중랑구 면목로64길 50-4 (면목동)<NA>최동수직업소개소2002-12-23 15:55:12I2018-08-31 23:59:59.0<NA>208034.172521453711.310753개인유료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
361305000020233050211145000082020-04-20<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 127-6서울특별시 동대문구 천호대로16길 18 (용두동)02589솔트인력2023-12-05 11:02:00U2022-11-02 00:07:00.0<NA>202683.024861452307.143041<NA><NA>
362305000020233050211145000092023-01-16<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>대전광역시 유성구 관평동 1337 배재대학교대덕캠퍼스대전광역시 유성구 테크노1로 11-3, 배재대학교대덕캠퍼스 206호 (관평동)34015온누리 인력 개발2024-01-24 16:09:50U2023-11-30 22:07:00.0<NA>234791.748451325758.837664<NA><NA>
363305000020233050211145000102023-06-28<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 787 동의보감타워서울특별시 동대문구 왕산로 128, 동의보감타워 1111호 (용두동)02566보람케어2023-06-28 15:31:55I2022-12-05 21:00:00.0<NA>203258.377206452834.064125<NA><NA>
364305000020233050211145000112023-07-10<NA>3폐업40폐업2023-10-16<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 신설동 76-29서울특별시 동대문구 왕산로 9-1, 2층 (신설동)02580(주)주우에이치알2023-10-16 10:35:26U2022-10-30 23:08:00.0<NA>202106.332425452671.256794<NA><NA>
365305000020233050211145000122023-08-02<NA>3폐업40폐업2024-04-23<NA><NA><NA>07941674<NA><NA>서울특별시 동대문구 제기동 1140-4서울특별시 동대문구 약령중앙로 7-4, 비동 204호 (제기동)02569(주)동방디에스시스템2024-04-23 15:46:21U2023-12-03 22:05:00.0<NA>203160.859654452970.739422<NA><NA>
366305000020233050211145000132022-06-22<NA>1영업/정상20영업중2023-09-08<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 415-9서울특별시 동대문구 천호대로 389, 3층 303호 (장안동)02633Hi클라스2023-09-20 09:03:31U2022-12-08 22:02:00.0<NA>205428.921463451103.14698<NA><NA>
367305000020233050211145000142023-10-16<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 신설동 92-25서울특별시 동대문구 하정로 36, 101호 (신설동)02582금손인력사무소2023-10-16 10:48:01I2022-10-30 23:08:00.0<NA>202312.175672452449.555795<NA><NA>
368305000020243050211145000012017-07-21<NA>1영업/정상20영업중<NA><NA><NA><NA>0222443399<NA><NA>서울특별시 용산구 이태원동 130-43서울특별시 용산구 보광로 117, 2층 (이태원동)04391희망인력건설산업(주)2024-04-29 20:55:59U2023-12-05 00:01:00.0<NA>199418.957825447879.088095<NA><NA>
369305000020243050211145000022024-02-22<NA>3폐업40폐업2024-05-02<NA><NA><NA>029229502<NA><NA>서울특별시 동대문구 신설동 89-47서울특별시 동대문구 왕산로 21-9, 3층 (신설동)02580정성메디케어 주식회사2024-05-02 15:56:57U2023-12-05 00:04:00.0<NA>202180.404301452736.489115<NA><NA>
370305000020243050211145000032021-10-25<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1665-17 용원빌딩 312호서울특별시 서초구 서초중앙로18길 31, 용원빌딩 3층 312호 (서초동)06634제니스 써치(zenith search)2024-04-25 17:50:31I2023-12-03 22:07:00.0<NA>201345.772662443270.537221<NA><NA>