Overview

Dataset statistics

Number of variables27
Number of observations881
Missing cells7589
Missing cells (%)31.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory196.3 KiB
Average record size in memory228.1 B

Variable types

Categorical8
Numeric3
DateTime4
Unsupported6
Text6

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),법인구분명,구분명
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-20223/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 881 (100.0%) missing valuesMissing
폐업일자 has 516 (58.6%) missing valuesMissing
휴업시작일자 has 881 (100.0%) missing valuesMissing
휴업종료일자 has 881 (100.0%) missing valuesMissing
재개업일자 has 881 (100.0%) missing valuesMissing
전화번호 has 464 (52.7%) missing valuesMissing
소재지면적 has 881 (100.0%) missing valuesMissing
소재지우편번호 has 723 (82.1%) missing valuesMissing
지번주소 has 19 (2.2%) missing valuesMissing
도로명주소 has 94 (10.7%) missing valuesMissing
도로명우편번호 has 409 (46.4%) missing valuesMissing
업태구분명 has 881 (100.0%) missing valuesMissing
좌표정보(X) has 39 (4.4%) missing valuesMissing
좌표정보(Y) has 39 (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

Reproduction

Analysis started2024-05-11 06:45:26.666448
Analysis finished2024-05-11 06:45:27.833050
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
3210000
881 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 881
100.0%

Length

2024-05-11T15:45:27.973656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:28.159086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 881
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct881
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0111973 × 1018
Minimum1.994321 × 1018
Maximum2.024321 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-05-11T15:45:28.360590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.994321 × 1018
5-th percentile2.000321 × 1018
Q12.004321 × 1018
median2.010321 × 1018
Q32.018321 × 1018
95-th percentile2.023321 × 1018
Maximum2.024321 × 1018
Range3.0000012 × 1016
Interquartile range (IQR)1.4000009 × 1016

Descriptive statistics

Standard deviation7.5588277 × 1015
Coefficient of variation (CV)0.0037583721
Kurtosis-1.2114601
Mean2.0111973 × 1018
Median Absolute Deviation (MAD)7.0000041 × 1015
Skewness0.084677426
Sum9.7738118 × 1017
Variance5.7135877 × 1031
MonotonicityStrictly increasing
2024-05-11T15:45:28.568826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1994321007311500001 1
 
0.1%
2016321015514500006 1
 
0.1%
2015321015514500027 1
 
0.1%
2015321015514500028 1
 
0.1%
2015321015514500029 1
 
0.1%
2015321015514500030 1
 
0.1%
2015321015514500031 1
 
0.1%
2015321015514500032 1
 
0.1%
2015321015514500033 1
 
0.1%
2015321015514500034 1
 
0.1%
Other values (871) 871
98.9%
ValueCountFrequency (%)
1994321007311500001 1
0.1%
1995321007311500001 1
0.1%
1995321007311500002 1
0.1%
1995321007311500003 1
0.1%
1996321007311500001 1
0.1%
1996321007311500002 1
0.1%
1996321007311500003 1
0.1%
1996321007311500004 1
0.1%
1996321007311500005 1
0.1%
1996321007311500006 1
0.1%
ValueCountFrequency (%)
2024321019514500012 1
0.1%
2024321019514500011 1
0.1%
2024321019514500010 1
0.1%
2024321019514500009 1
0.1%
2024321019514500008 1
0.1%
2024321019514500007 1
0.1%
2024321019514500006 1
0.1%
2024321019514500005 1
0.1%
2024321019514500004 1
0.1%
2024321019514500003 1
0.1%

인허가일자
Date

Distinct753
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
Minimum1991-12-31 00:00:00
Maximum2024-04-18 00:00:00
2024-05-11T15:45:28.760453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:45:28.992947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing881
Missing (%)100.0%
Memory size7.9 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
3
554 
1
267 
5
 
54
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 (%)
3 554
62.9%
1 267
30.3%
5 54
 
6.1%
4 6
 
0.7%

Length

2024-05-11T15:45:29.156620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:29.307083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 554
62.9%
1 267
30.3%
5 54
 
6.1%
4 6
 
0.7%

영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
폐업
554 
영업/정상
267 
제외/삭제/전출
 
54
취소/말소/만료/정지/중지
 
6

Length

Max length14
Median length2
Mean length3.3586833
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 554
62.9%
영업/정상 267
30.3%
제외/삭제/전출 54
 
6.1%
취소/말소/만료/정지/중지 6
 
0.7%

Length

2024-05-11T15:45:29.476038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:29.634971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 554
62.9%
영업/정상 267
30.3%
제외/삭제/전출 54
 
6.1%
취소/말소/만료/정지/중지 6
 
0.7%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
40
554 
20
267 
50
 
54
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 (%)
40 554
62.9%
20 267
30.3%
50 54
 
6.1%
70 6
 
0.7%

Length

2024-05-11T15:45:30.032288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:30.145965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 554
62.9%
20 267
30.3%
50 54
 
6.1%
70 6
 
0.7%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
폐업
554 
영업중
267 
타시군구이관
 
54
등록취소
 
6

Length

Max length6
Median length2
Mean length2.5618615
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 554
62.9%
영업중 267
30.3%
타시군구이관 54
 
6.1%
등록취소 6
 
0.7%

Length

2024-05-11T15:45:30.303314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:30.449808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 554
62.9%
영업중 267
30.3%
타시군구이관 54
 
6.1%
등록취소 6
 
0.7%

폐업일자
Date

MISSING 

Distinct339
Distinct (%)92.9%
Missing516
Missing (%)58.6%
Memory size7.0 KiB
Minimum2002-10-30 00:00:00
Maximum2024-04-12 00:00:00
2024-05-11T15:45:30.582900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:45:30.724486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing881
Missing (%)100.0%
Memory size7.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing881
Missing (%)100.0%
Memory size7.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing881
Missing (%)100.0%
Memory size7.9 KiB

전화번호
Text

MISSING 

Distinct401
Distinct (%)96.2%
Missing464
Missing (%)52.7%
Memory size7.0 KiB
2024-05-11T15:45:31.124080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.604317
Min length7

Characters and Unicode

Total characters4839
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

Unique385 ?
Unique (%)92.3%

Sample

1st row02 535 3600
2nd row02 585 6223
3rd row02 512 9000
4th row02 596 008
5th row02 580 0153
ValueCountFrequency (%)
02 344
33.5%
070 20
 
1.9%
522 10
 
1.0%
535 10
 
1.0%
540 8
 
0.8%
514 7
 
0.7%
581 7
 
0.7%
525 7
 
0.7%
532 7
 
0.7%
591 7
 
0.7%
Other values (480) 599
58.4%
2024-05-11T15:45:31.630270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
952
19.7%
0 743
15.4%
2 697
14.4%
5 562
11.6%
3 316
 
6.5%
7 308
 
6.4%
1 298
 
6.2%
8 263
 
5.4%
4 255
 
5.3%
6 226
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3887
80.3%
Space Separator 952
 
19.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 743
19.1%
2 697
17.9%
5 562
14.5%
3 316
8.1%
7 308
7.9%
1 298
7.7%
8 263
 
6.8%
4 255
 
6.6%
6 226
 
5.8%
9 219
 
5.6%
Space Separator
ValueCountFrequency (%)
952
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4839
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
952
19.7%
0 743
15.4%
2 697
14.4%
5 562
11.6%
3 316
 
6.5%
7 308
 
6.4%
1 298
 
6.2%
8 263
 
5.4%
4 255
 
5.3%
6 226
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4839
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
952
19.7%
0 743
15.4%
2 697
14.4%
5 562
11.6%
3 316
 
6.5%
7 308
 
6.4%
1 298
 
6.2%
8 263
 
5.4%
4 255
 
5.3%
6 226
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing881
Missing (%)100.0%
Memory size7.9 KiB

소재지우편번호
Text

MISSING 

Distinct63
Distinct (%)39.9%
Missing723
Missing (%)82.1%
Memory size7.0 KiB
2024-05-11T15:45:31.900461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0063291
Min length6

Characters and Unicode

Total characters949
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)20.9%

Sample

1st row137030
2nd row137882
3rd row137908
4th row137905
5th row137905
ValueCountFrequency (%)
000 19
 
12.0%
137856 12
 
7.6%
137030 12
 
7.6%
137903 6
 
3.8%
137857 5
 
3.2%
137818 5
 
3.2%
137808 4
 
2.5%
137858 4
 
2.5%
137863 4
 
2.5%
137905 4
 
2.5%
Other values (53) 83
52.5%
2024-05-11T15:45:32.294168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 172
18.1%
1 165
17.4%
7 164
17.3%
0 134
14.1%
8 115
12.1%
57
 
6.0%
5 37
 
3.9%
6 37
 
3.9%
9 28
 
3.0%
4 23
 
2.4%
Other values (2) 17
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 891
93.9%
Space Separator 57
 
6.0%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 172
19.3%
1 165
18.5%
7 164
18.4%
0 134
15.0%
8 115
12.9%
5 37
 
4.2%
6 37
 
4.2%
9 28
 
3.1%
4 23
 
2.6%
2 16
 
1.8%
Space Separator
ValueCountFrequency (%)
57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 949
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 172
18.1%
1 165
17.4%
7 164
17.3%
0 134
14.1%
8 115
12.1%
57
 
6.0%
5 37
 
3.9%
6 37
 
3.9%
9 28
 
3.0%
4 23
 
2.4%
Other values (2) 17
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 949
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 172
18.1%
1 165
17.4%
7 164
17.3%
0 134
14.1%
8 115
12.1%
57
 
6.0%
5 37
 
3.9%
6 37
 
3.9%
9 28
 
3.0%
4 23
 
2.4%
Other values (2) 17
 
1.8%

지번주소
Text

MISSING 

Distinct807
Distinct (%)93.6%
Missing19
Missing (%)2.2%
Memory size7.0 KiB
2024-05-11T15:45:32.662699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length43
Mean length31.961717
Min length13

Characters and Unicode

Total characters27551
Distinct characters366
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

Unique769 ?
Unique (%)89.2%

Sample

1st row서울특별시 서초구 반포동 1번지 1호 26통 5반 신반포3지구아파트 32 1003
2nd row서울특별시 서초구 서초동 1480번지 12호 32통 9반 한진빌라 1층 1호
3rd row서울특별시 강남구 일원동 689호 14통 5반 현대아파트 14 306
4th row서울특별시 강남구 도곡동 954번지 23호 27통 4반 402
5th row서울특별시 서초구 서초동 1324번지 10호 37통 4반 401
ValueCountFrequency (%)
서울특별시 746
 
12.7%
서초구 584
 
10.0%
서초동 259
 
4.4%
방배동 96
 
1.6%
경기도 76
 
1.3%
잠원동 71
 
1.2%
1호 62
 
1.1%
양재동 52
 
0.9%
3반 48
 
0.8%
5반 42
 
0.7%
Other values (1727) 3829
65.3%
2024-05-11T15:45:33.327814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5324
19.3%
서 1715
 
6.2%
1 1494
 
5.4%
동 972
 
3.5%
초 921
 
3.3%
호 886
 
3.2%
시 858
 
3.1%
3 854
 
3.1%
2 832
 
3.0%
구 824
 
3.0%
Other values (356) 12871
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15410
55.9%
Decimal Number 6547
23.8%
Space Separator 5324
 
19.3%
Dash Punctuation 185
 
0.7%
Uppercase Letter 68
 
0.2%
Other Punctuation 10
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1715
 
11.1%
동 972
 
6.3%
초 921
 
6.0%
호 886
 
5.7%
시 858
 
5.6%
구 824
 
5.3%
별 750
 
4.9%
울 749
 
4.9%
특 746
 
4.8%
지 625
 
4.1%
Other values (319) 6364
41.3%
Uppercase Letter
ValueCountFrequency (%)
B 11
16.2%
A 11
16.2%
J 8
11.8%
G 5
7.4%
K 5
7.4%
L 5
7.4%
R 3
 
4.4%
H 3
 
4.4%
E 3
 
4.4%
S 3
 
4.4%
Other values (9) 11
16.2%
Decimal Number
ValueCountFrequency (%)
1 1494
22.8%
3 854
13.0%
2 832
12.7%
0 801
12.2%
4 553
 
8.4%
5 538
 
8.2%
6 431
 
6.6%
7 377
 
5.8%
8 348
 
5.3%
9 319
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 7
70.0%
' 2
 
20.0%
/ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
5324
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 185
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15410
55.9%
Common 12072
43.8%
Latin 69
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1715
 
11.1%
동 972
 
6.3%
초 921
 
6.0%
호 886
 
5.7%
시 858
 
5.6%
구 824
 
5.3%
별 750
 
4.9%
울 749
 
4.9%
특 746
 
4.8%
지 625
 
4.1%
Other values (319) 6364
41.3%
Latin
ValueCountFrequency (%)
B 11
15.9%
A 11
15.9%
J 8
11.6%
G 5
7.2%
K 5
7.2%
L 5
7.2%
R 3
 
4.3%
H 3
 
4.3%
E 3
 
4.3%
S 3
 
4.3%
Other values (10) 12
17.4%
Common
ValueCountFrequency (%)
5324
44.1%
1 1494
 
12.4%
3 854
 
7.1%
2 832
 
6.9%
0 801
 
6.6%
4 553
 
4.6%
5 538
 
4.5%
6 431
 
3.6%
7 377
 
3.1%
8 348
 
2.9%
Other values (7) 520
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15410
55.9%
ASCII 12141
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5324
43.9%
1 1494
 
12.3%
3 854
 
7.0%
2 832
 
6.9%
0 801
 
6.6%
4 553
 
4.6%
5 538
 
4.4%
6 431
 
3.5%
7 377
 
3.1%
8 348
 
2.9%
Other values (27) 589
 
4.9%
Hangul
ValueCountFrequency (%)
서 1715
 
11.1%
동 972
 
6.3%
초 921
 
6.0%
호 886
 
5.7%
시 858
 
5.6%
구 824
 
5.3%
별 750
 
4.9%
울 749
 
4.9%
특 746
 
4.8%
지 625
 
4.1%
Other values (319) 6364
41.3%

도로명주소
Text

MISSING 

Distinct766
Distinct (%)97.3%
Missing94
Missing (%)10.7%
Memory size7.0 KiB
2024-05-11T15:45:33.683975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length45
Mean length36.127065
Min length21

Characters and Unicode

Total characters28432
Distinct characters375
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique745 ?
Unique (%)94.7%

Sample

1st row서울특별시 서초구 신반포로19길 10, 32동 1003호 (반포동,신반포3지구아파트)
2nd row서울특별시 서초구 남부순환로315길 88-5, 1층동 1호호 (서초동,한진빌라)
3rd row서울특별시 강남구 일원로8길 15, 14동 306호 (일원동,현대아파트)
4th row서울특별시 강남구 남부순환로355길 17, 402호 (도곡동)
5th row서울특별시 서초구 서운로15길 18-3, 401호 (서초동)
ValueCountFrequency (%)
서울특별시 733
 
13.9%
서초구 606
 
11.5%
서초동 267
 
5.1%
방배동 99
 
1.9%
강남대로 69
 
1.3%
양재동 52
 
1.0%
잠원동 49
 
0.9%
신반포로 42
 
0.8%
3층 41
 
0.8%
경기도 40
 
0.8%
Other values (1550) 3286
62.2%
2024-05-11T15:45:34.255649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4502
 
15.8%
서 1895
 
6.7%
초 1070
 
3.8%
, 1011
 
3.6%
동 1011
 
3.6%
1 992
 
3.5%
시 798
 
2.8%
구 790
 
2.8%
( 786
 
2.8%
) 786
 
2.8%
Other values (365) 14791
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16121
56.7%
Decimal Number 4995
 
17.6%
Space Separator 4502
 
15.8%
Other Punctuation 1015
 
3.6%
Open Punctuation 786
 
2.8%
Close Punctuation 786
 
2.8%
Dash Punctuation 129
 
0.5%
Uppercase Letter 95
 
0.3%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1895
 
11.8%
초 1070
 
6.6%
동 1011
 
6.3%
시 798
 
5.0%
구 790
 
4.9%
로 772
 
4.8%
울 737
 
4.6%
별 736
 
4.6%
특 733
 
4.5%
호 568
 
3.5%
Other values (325) 7011
43.5%
Uppercase Letter
ValueCountFrequency (%)
B 22
23.2%
A 13
13.7%
J 6
 
6.3%
E 6
 
6.3%
G 6
 
6.3%
L 6
 
6.3%
K 5
 
5.3%
S 4
 
4.2%
R 4
 
4.2%
P 3
 
3.2%
Other values (11) 20
21.1%
Decimal Number
ValueCountFrequency (%)
1 992
19.9%
2 744
14.9%
0 711
14.2%
3 638
12.8%
4 431
8.6%
5 426
8.5%
6 318
 
6.4%
7 310
 
6.2%
9 225
 
4.5%
8 200
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 1011
99.6%
/ 2
 
0.2%
' 2
 
0.2%
Space Separator
ValueCountFrequency (%)
4502
100.0%
Open Punctuation
ValueCountFrequency (%)
( 786
100.0%
Close Punctuation
ValueCountFrequency (%)
) 786
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16121
56.7%
Common 12215
43.0%
Latin 96
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1895
 
11.8%
초 1070
 
6.6%
동 1011
 
6.3%
시 798
 
5.0%
구 790
 
4.9%
로 772
 
4.8%
울 737
 
4.6%
별 736
 
4.6%
특 733
 
4.5%
호 568
 
3.5%
Other values (325) 7011
43.5%
Latin
ValueCountFrequency (%)
B 22
22.9%
A 13
13.5%
J 6
 
6.2%
E 6
 
6.2%
G 6
 
6.2%
L 6
 
6.2%
K 5
 
5.2%
S 4
 
4.2%
R 4
 
4.2%
P 3
 
3.1%
Other values (12) 21
21.9%
Common
ValueCountFrequency (%)
4502
36.9%
, 1011
 
8.3%
1 992
 
8.1%
( 786
 
6.4%
) 786
 
6.4%
2 744
 
6.1%
0 711
 
5.8%
3 638
 
5.2%
4 431
 
3.5%
5 426
 
3.5%
Other values (8) 1188
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16121
56.7%
ASCII 12311
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4502
36.6%
, 1011
 
8.2%
1 992
 
8.1%
( 786
 
6.4%
) 786
 
6.4%
2 744
 
6.0%
0 711
 
5.8%
3 638
 
5.2%
4 431
 
3.5%
5 426
 
3.5%
Other values (30) 1284
 
10.4%
Hangul
ValueCountFrequency (%)
서 1895
 
11.8%
초 1070
 
6.6%
동 1011
 
6.3%
시 798
 
5.0%
구 790
 
4.9%
로 772
 
4.8%
울 737
 
4.6%
별 736
 
4.6%
특 733
 
4.5%
호 568
 
3.5%
Other values (325) 7011
43.5%

도로명우편번호
Text

MISSING 

Distinct204
Distinct (%)43.2%
Missing409
Missing (%)46.4%
Memory size7.0 KiB
2024-05-11T15:45:34.785437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2775424
Min length5

Characters and Unicode

Total characters2491
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

Unique117 ?
Unique (%)24.8%

Sample

1st row06651
2nd row06531
3rd row06512
4th row06727
5th row137882
ValueCountFrequency (%)
06612 17
 
3.6%
06626 14
 
3.0%
06621 12
 
2.5%
06628 12
 
2.5%
06531 12
 
2.5%
06619 9
 
1.9%
06651 9
 
1.9%
06650 9
 
1.9%
137856 8
 
1.7%
06616 7
 
1.5%
Other values (194) 363
76.9%
2024-05-11T15:45:35.520288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 644
25.9%
0 457
18.3%
7 273
11.0%
1 241
 
9.7%
3 220
 
8.8%
5 178
 
7.1%
8 159
 
6.4%
2 120
 
4.8%
4 95
 
3.8%
9 89
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2476
99.4%
Dash Punctuation 15
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 644
26.0%
0 457
18.5%
7 273
11.0%
1 241
 
9.7%
3 220
 
8.9%
5 178
 
7.2%
8 159
 
6.4%
2 120
 
4.8%
4 95
 
3.8%
9 89
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2491
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 644
25.9%
0 457
18.3%
7 273
11.0%
1 241
 
9.7%
3 220
 
8.8%
5 178
 
7.1%
8 159
 
6.4%
2 120
 
4.8%
4 95
 
3.8%
9 89
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2491
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 644
25.9%
0 457
18.3%
7 273
11.0%
1 241
 
9.7%
3 220
 
8.8%
5 178
 
7.1%
8 159
 
6.4%
2 120
 
4.8%
4 95
 
3.8%
9 89
 
3.6%

사업장명
Text

Distinct848
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
2024-05-11T15:45:35.912172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length26
Mean length8.5800227
Min length2

Characters and Unicode

Total characters7559
Distinct characters467
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique818 ?
Unique (%)92.8%

Sample

1st row(주)대심직업소개소
2nd row박종금직업소개소
3rd row코리아써치직업소개소
4th row(주)미카엘직업소개소
5th row(주)협우직업소개소
ValueCountFrequency (%)
직업소개소 75
 
6.7%
주식회사 48
 
4.3%
search 4
 
0.4%
코리아 4
 
0.4%
파출부 4
 
0.4%
컨설팅 4
 
0.4%
우리직업소개소 4
 
0.4%
구구파출부 3
 
0.3%
산모도우미 3
 
0.3%
그린파워취업정보 3
 
0.3%
Other values (912) 970
86.5%
2024-05-11T15:45:36.467767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 562
 
7.4%
업 303
 
4.0%
주 294
 
3.9%
개 288
 
3.8%
직 266
 
3.5%
) 263
 
3.5%
( 262
 
3.5%
241
 
3.2%
이 204
 
2.7%
스 189
 
2.5%
Other values (457) 4687
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6427
85.0%
Close Punctuation 263
 
3.5%
Open Punctuation 262
 
3.5%
Space Separator 241
 
3.2%
Uppercase Letter 191
 
2.5%
Lowercase Letter 111
 
1.5%
Decimal Number 36
 
0.5%
Other Punctuation 23
 
0.3%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 562
 
8.7%
업 303
 
4.7%
주 294
 
4.6%
개 288
 
4.5%
직 266
 
4.1%
이 204
 
3.2%
스 189
 
2.9%
인 135
 
2.1%
리 134
 
2.1%
사 116
 
1.8%
Other values (395) 3936
61.2%
Uppercase Letter
ValueCountFrequency (%)
S 17
 
8.9%
E 16
 
8.4%
A 15
 
7.9%
O 13
 
6.8%
C 13
 
6.8%
R 12
 
6.3%
L 11
 
5.8%
J 10
 
5.2%
N 10
 
5.2%
M 9
 
4.7%
Other values (15) 65
34.0%
Lowercase Letter
ValueCountFrequency (%)
e 19
17.1%
r 13
11.7%
a 12
10.8%
o 10
9.0%
t 8
 
7.2%
n 6
 
5.4%
s 6
 
5.4%
l 5
 
4.5%
i 5
 
4.5%
c 4
 
3.6%
Other values (11) 23
20.7%
Decimal Number
ValueCountFrequency (%)
1 14
38.9%
2 8
22.2%
4 6
16.7%
3 3
 
8.3%
8 2
 
5.6%
5 2
 
5.6%
6 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 11
47.8%
& 9
39.1%
# 1
 
4.3%
/ 1
 
4.3%
? 1
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 263
100.0%
Open Punctuation
ValueCountFrequency (%)
( 262
100.0%
Space Separator
ValueCountFrequency (%)
241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6426
85.0%
Common 830
 
11.0%
Latin 302
 
4.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 562
 
8.7%
업 303
 
4.7%
주 294
 
4.6%
개 288
 
4.5%
직 266
 
4.1%
이 204
 
3.2%
스 189
 
2.9%
인 135
 
2.1%
리 134
 
2.1%
사 116
 
1.8%
Other values (394) 3935
61.2%
Latin
ValueCountFrequency (%)
e 19
 
6.3%
S 17
 
5.6%
E 16
 
5.3%
A 15
 
5.0%
O 13
 
4.3%
C 13
 
4.3%
r 13
 
4.3%
a 12
 
4.0%
R 12
 
4.0%
L 11
 
3.6%
Other values (36) 161
53.3%
Common
ValueCountFrequency (%)
) 263
31.7%
( 262
31.6%
241
29.0%
1 14
 
1.7%
. 11
 
1.3%
& 9
 
1.1%
2 8
 
1.0%
4 6
 
0.7%
- 5
 
0.6%
3 3
 
0.4%
Other values (6) 8
 
1.0%
Han
ValueCountFrequency (%)
人 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6426
85.0%
ASCII 1132
 
15.0%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 562
 
8.7%
업 303
 
4.7%
주 294
 
4.6%
개 288
 
4.5%
직 266
 
4.1%
이 204
 
3.2%
스 189
 
2.9%
인 135
 
2.1%
리 134
 
2.1%
사 116
 
1.8%
Other values (394) 3935
61.2%
ASCII
ValueCountFrequency (%)
) 263
23.2%
( 262
23.1%
241
21.3%
e 19
 
1.7%
S 17
 
1.5%
E 16
 
1.4%
A 15
 
1.3%
1 14
 
1.2%
O 13
 
1.1%
C 13
 
1.1%
Other values (52) 259
22.9%
CJK
ValueCountFrequency (%)
人 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct881
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
Minimum2003-01-23 12:50:02
Maximum2024-04-30 17:36:25
2024-05-11T15:45:36.648668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:45:36.839225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
I
512 
U
369 

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 512
58.1%
U 369
41.9%

Length

2024-05-11T15:45:37.022828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:37.135165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 512
58.1%
u 369
41.9%

데이터갱신일자
Date

Distinct228
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T15:45:37.266540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:45:37.558337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing881
Missing (%)100.0%
Memory size7.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct643
Distinct (%)76.4%
Missing39
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean202243.75
Minimum168649.96
Maximum405435.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-05-11T15:45:38.363326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum168649.96
5-th percentile190977.93
Q1199329
median201627.83
Q3202478.1
95-th percentile209989.64
Maximum405435.94
Range236785.98
Interquartile range (IQR)3149.1097

Descriptive statistics

Standard deviation17082.098
Coefficient of variation (CV)0.084462918
Kurtosis102.89736
Mean202243.75
Median Absolute Deviation (MAD)1075.9426
Skewness9.4585639
Sum1.7028924 × 108
Variance2.9179806 × 108
MonotonicityNot monotonic
2024-05-11T15:45:39.090415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202122.980021099 13
 
1.5%
202069.323855232 13
 
1.5%
202123.769148202 10
 
1.1%
202623.297219041 9
 
1.0%
201654.031425186 9
 
1.0%
202437.690112682 8
 
0.9%
202183.509841993 8
 
0.9%
201730.357646157 7
 
0.8%
202374.665 6
 
0.7%
202459.257859185 5
 
0.6%
Other values (633) 754
85.6%
(Missing) 39
 
4.4%
ValueCountFrequency (%)
168649.958937086 1
0.1%
171452.82020824 1
0.1%
172906.246330358 1
0.1%
174027.790688142 1
0.1%
174069.677661288 1
0.1%
174076.755318196 1
0.1%
176568.388696413 1
0.1%
177034.354040237 1
0.1%
177378.511339544 1
0.1%
181183.256789646 1
0.1%
ValueCountFrequency (%)
405435.938832337 1
0.1%
405320.296226669 1
0.1%
396940.652567362 1
0.1%
394891.32499487 1
0.1%
372929.682482446 1
0.1%
343914.285638 1
0.1%
281567.138246 1
0.1%
243845.099969 1
0.1%
242470.723009724 1
0.1%
240505.796819299 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct643
Distinct (%)76.4%
Missing39
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean441365.54
Minimum162494.79
Maximum470620.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2024-05-11T15:45:39.444664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum162494.79
5-th percentile432735.93
Q1442435.54
median443317.22
Q3444952.28
95-th percentile453347.95
Maximum470620.67
Range308125.88
Interquartile range (IQR)2516.7423

Descriptive statistics

Standard deviation22778.429
Coefficient of variation (CV)0.051608989
Kurtosis97.296934
Mean441365.54
Median Absolute Deviation (MAD)1111.3496
Skewness-9.453144
Sum3.7162978 × 108
Variance5.1885684 × 108
MonotonicityNot monotonic
2024-05-11T15:45:39.685730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444254.241685558 13
 
1.5%
443943.671702291 13
 
1.5%
444374.640776733 10
 
1.1%
443154.964346798 9
 
1.0%
445398.655507383 9
 
1.0%
443533.590122737 8
 
0.9%
444119.505393165 8
 
0.9%
445461.867285084 7
 
0.8%
443842.38 6
 
0.7%
443620.263219246 5
 
0.6%
Other values (633) 754
85.6%
(Missing) 39
 
4.4%
ValueCountFrequency (%)
162494.791837 1
0.1%
183507.549812 1
0.1%
187461.537343846 1
0.1%
211175.657277864 1
0.1%
230109.454178776 1
0.1%
233495.484050652 1
0.1%
264672.938464 1
0.1%
316660.791765 1
0.1%
376550.294436628 1
0.1%
387291.487067 1
0.1%
ValueCountFrequency (%)
470620.673747 1
0.1%
467493.740439104 1
0.1%
464068.573952126 1
0.1%
463395.276395703 1
0.1%
462643.124805593 1
0.1%
462160.312358665 1
0.1%
461422.687366363 1
0.1%
461292.646459301 2
0.2%
461010.132322492 1
0.1%
460152.105907801 1
0.1%

법인구분명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
개인
432 
<NA>
278 
법인
171 

Length

Max length4
Median length2
Mean length2.631101
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 432
49.0%
<NA> 278
31.6%
법인 171
 
19.4%

Length

2024-05-11T15:45:39.992380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:40.276441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 432
49.0%
na 278
31.6%
법인 171
 
19.4%

구분명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.0 KiB
유료
603 
<NA>
278 

Length

Max length4
Median length2
Mean length2.631101
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 603
68.4%
<NA> 278
31.6%

Length

2024-05-11T15:45:40.604307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:40.851912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 603
68.4%
na 278
31.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03210000199432100731150000119940530<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 반포동 1번지 1호 26통 5반 신반포3지구아파트 32 1003서울특별시 서초구 신반포로19길 10, 32동 1003호 (반포동,신반포3지구아파트)<NA>(주)대심직업소개소2006-10-02 18:04:28I2018-08-31 23:59:59.0<NA>199692.40938444953.682163법인유료
13210000199532100731150000119951206<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1480번지 12호 32통 9반 한진빌라 1층 1호서울특별시 서초구 남부순환로315길 88-5, 1층동 1호호 (서초동,한진빌라)<NA>박종금직업소개소2005-04-08 13:43:16I2018-08-31 23:59:59.0<NA>200606.872031442250.275014개인유료
23210000199532100731150000219950624<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 일원동 689호 14통 5반 현대아파트 14 306서울특별시 강남구 일원로8길 15, 14동 306호 (일원동,현대아파트)<NA>코리아써치직업소개소2005-04-12 15:12:40I2018-08-31 23:59:59.0<NA>206981.293675443066.429203개인유료
33210000199532100731150000319951230<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 도곡동 954번지 23호 27통 4반 402서울특별시 강남구 남부순환로355길 17, 402호 (도곡동)<NA>(주)미카엘직업소개소2006-05-11 14:49:03I2018-08-31 23:59:59.0<NA>203077.452521442645.178769법인유료
43210000199632100731150000119961023<NA>3폐업40폐업20080704<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1324번지 10호 37통 4반 401서울특별시 서초구 서운로15길 18-3, 401호 (서초동)<NA>(주)협우직업소개소2008-07-04 11:57:26I2018-08-31 23:59:59.0<NA>202027.892352443452.283939법인유료
53210000199632100731150000219960322<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 9번지 46호 8통 3반 301서울특별시 서초구 강남대로30길 51-17, 301호 (양재동)<NA>(주)강남부녀직업소개소2006-10-09 12:07:28I2018-08-31 23:59:59.0<NA>203426.843747442325.317417법인유료
63210000199632100731150000319960410<NA>3폐업40폐업20131231<NA><NA><NA><NA><NA><NA>경기도 오산시 오산동 920번지 2호 40통 6반 주공아파트 209 1403경기도 오산시 운암로 89, 209동 1403호 (오산동,주공아파트)<NA>정동순직업소개소2013-12-30 15:24:46I2018-08-31 23:59:59.0<NA>206703.559367405878.04873개인유료
73210000199632100731150000419960828<NA>3폐업40폐업20100205<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 71번지 6호서울특별시 동작구 동작대로35길 31-9 (사당동)<NA>(주)나라직업소개소2010-02-05 11:16:29I2018-08-31 23:59:59.0<NA>198185.648126443201.446157법인유료
83210000199632100731150000519961011<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 호 신동아아파트 7동 102호<NA><NA>손계숙 직업소개소2006-10-11 09:19:27I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
93210000199632100731150000619960905<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 반포동 1050호 반포아파트 J동 207호<NA><NA>이병학직업소개소2006-08-28 18:30:19I2018-08-31 23:59:59.0<NA>198944.405656444365.927865개인유료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
871321000020243210195145000032024-03-04<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 37-9 논현빌딩 지층 8호서울특별시 서초구 신반포로 339, 논현빌딩 지층 8호 (잠원동)06531구구파출부2024-03-29 10:43:03U2023-12-02 21:01:00.0<NA>201730.357646445461.867285<NA><NA>
872321000020243210195145000042014-03-17<NA>5제외/삭제/전출50타시군구이관2024-03-11<NA><NA><NA><NA><NA>156-825서울특별시 동작구 사당동 1020번지 38호서울특별시 동작구 동작대로9길 18 (사당동)156-825참조은간병인협회2024-03-11 09:30:20I2023-12-02 23:03:00.0<NA>198206.783092442056.652647<NA><NA>
873321000020243210195145000052024-03-18<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1601-2 그린빌오피스텔서울특별시 서초구 효령로55길 22, 그린빌오피스텔 15층 1505호 (서초동)06654153인력개발센터2024-03-18 17:14:28I2023-12-02 22:00:00.0<NA>201227.34613442619.917106<NA><NA>
874321000020243210195145000062024-03-25<NA>1영업/정상20영업중<NA><NA><NA><NA>02 522 3792<NA><NA>서울특별시 서초구 서초동 1698-6 벧엘빌딩서울특별시 서초구 서초대로53길 25, 벧엘빌딩 5층 (서초동)06604세원로텍스 주식회사2024-03-25 19:26:13I2023-12-02 22:07:00.0<NA>201185.478922443792.881448<NA><NA>
875321000020243210195145000072024-04-04<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1706-12 승소빌딩 2층서울특별시 서초구 법원로3길 12, 승소빌딩 2층 (서초동)06595주식회사 비즈페트런2024-04-04 17:05:00I2023-12-04 00:06:00.0<NA>200741.187486443487.841648<NA><NA>
876321000020243210195145000082024-04-18<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1542-1 서초동 동일하이빌서울특별시 서초구 서초대로 240, 211호 (서초동, 서초동 동일하이빌)06647유한회사 한국이민비자센터2024-04-18 15:39:31I2023-12-03 22:00:00.0<NA>200667.104435443263.221961<NA><NA>
877321000020243210195145000092024-04-18<NA>1영업/정상20영업중<NA><NA><NA><NA>02 532 6665<NA><NA>서울특별시 서초구 서초동 1337-20 대륭서초타워서울특별시 서초구 강남대로 327, 대륭서초타워 B1층 307호 (서초동)06627강남팔팔소개소2024-04-18 15:41:59I2023-12-03 22:00:00.0<NA>202559.861738443317.216023<NA><NA>
878321000020243210195145000102021-07-30<NA>1영업/정상20영업중<NA><NA><NA><NA>070 40014087<NA><NA>서울특별시 마포구 공덕동 242-75 LG화재서울특별시 마포구 마포대로10길 13, LG화재 4층 (공덕동)04211(주)소프트스퀘어드2024-04-23 10:03:55I2023-12-03 22:05:00.0<NA>195905.68896449446.950186<NA><NA>
879321000020243210195145000112016-04-19<NA>1영업/정상20영업중<NA><NA><NA><NA>02 5295537<NA><NA>서울특별시 서초구 서초동 1340-3 젤죤빌딩 302호서울특별시 서초구 효령로 430, 젤죤빌딩 3층 302호 (서초동)06729지투지(G2G)파트너스2024-04-25 13:09:45I2023-12-03 22:07:00.0<NA>202654.268402442981.572075<NA><NA>
880321000020243210195145000122015-11-18<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 143-44 라이언타워서울특별시 강남구 테헤란로 431, 라이언타워 5층 (삼성동)06159알엔알파트너스그룹 주식회사2024-04-30 17:36:25I2023-12-05 00:02:00.0<NA>204716.735444932.66<NA><NA>