Overview

Dataset statistics

Number of variables27
Number of observations217
Missing cells1911
Missing cells (%)32.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.7 KiB
Average record size in memory229.6 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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-20205/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 217 (100.0%) missing valuesMissing
폐업일자 has 119 (54.8%) missing valuesMissing
휴업시작일자 has 217 (100.0%) missing valuesMissing
휴업종료일자 has 217 (100.0%) missing valuesMissing
재개업일자 has 217 (100.0%) missing valuesMissing
전화번호 has 124 (57.1%) missing valuesMissing
소재지면적 has 217 (100.0%) missing valuesMissing
소재지우편번호 has 188 (86.6%) missing valuesMissing
지번주소 has 3 (1.4%) missing valuesMissing
도로명주소 has 35 (16.1%) missing valuesMissing
도로명우편번호 has 110 (50.7%) missing valuesMissing
업태구분명 has 217 (100.0%) missing valuesMissing
좌표정보(X) has 15 (6.9%) missing valuesMissing
좌표정보(Y) has 15 (6.9%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 20:06:56.884418
Analysis finished2024-04-29 20:06:57.679133
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
3030000
217 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 217
100.0%

Length

2024-04-30T05:06:57.741743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:57.819926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 217
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct217
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0115749 × 1018
Minimum1.998303 × 1018
Maximum2.024303 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-30T05:06:57.908035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.998303 × 1018
5-th percentile2.002103 × 1018
Q12.004303 × 1018
median2.011303 × 1018
Q32.019303 × 1018
95-th percentile2.022503 × 1018
Maximum2.024303 × 1018
Range2.6000006 × 1016
Interquartile range (IQR)1.5000006 × 1016

Descriptive statistics

Standard deviation7.6844502 × 1015
Coefficient of variation (CV)0.0038201164
Kurtosis-1.5043324
Mean2.0115749 × 1018
Median Absolute Deviation (MAD)8.0000029 × 1015
Skewness0.12468984
Sum-6.2101044 × 1018
Variance5.9050775 × 1031
MonotonicityStrictly increasing
2024-04-30T05:06:58.048194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1998303007411500001 1
 
0.5%
2018303013514500007 1
 
0.5%
2016303013514500002 1
 
0.5%
2016303013514500004 1
 
0.5%
2016303013514500006 1
 
0.5%
2016303013514500007 1
 
0.5%
2016303013514500008 1
 
0.5%
2017303013514500001 1
 
0.5%
2017303013514500002 1
 
0.5%
2018303013514500001 1
 
0.5%
Other values (207) 207
95.4%
ValueCountFrequency (%)
1998303007411500001 1
0.5%
1999303007411500001 1
0.5%
1999303007411500002 1
0.5%
1999303007411500003 1
0.5%
2000303007411500002 1
0.5%
2001303007411500001 1
0.5%
2001303007411500002 1
0.5%
2001303007411500003 1
0.5%
2001303007411500004 1
0.5%
2001303007411500005 1
0.5%
ValueCountFrequency (%)
2024303013514500004 1
0.5%
2024303013514500003 1
0.5%
2024303013514500002 1
0.5%
2023303013514500010 1
0.5%
2023303013514500009 1
0.5%
2023303013514500008 1
0.5%
2023303013514500007 1
0.5%
2023303013514500006 1
0.5%
2023303013514500005 1
0.5%
2023303013514500003 1
0.5%

인허가일자
Date

Distinct208
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum1998-08-01 00:00:00
Maximum2024-03-11 00:00:00
2024-04-30T05:06:58.185471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:06:58.335747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing217
Missing (%)100.0%
Memory size2.0 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
3
133 
1
59 
5
14 
4
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 133
61.3%
1 59
27.2%
5 14
 
6.5%
4 11
 
5.1%

Length

2024-04-30T05:06:58.448106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:58.529761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 133
61.3%
1 59
27.2%
5 14
 
6.5%
4 11
 
5.1%

영업상태명
Categorical

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
폐업
133 
영업/정상
59 
제외/삭제/전출
14 
취소/말소/만료/정지/중지
 
11

Length

Max length14
Median length2
Mean length3.8110599
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 133
61.3%
영업/정상 59
27.2%
제외/삭제/전출 14
 
6.5%
취소/말소/만료/정지/중지 11
 
5.1%

Length

2024-04-30T05:06:58.622262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:58.718611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 133
61.3%
영업/정상 59
27.2%
제외/삭제/전출 14
 
6.5%
취소/말소/만료/정지/중지 11
 
5.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
40
133 
20
59 
50
14 
70
 
11

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
40 133
61.3%
20 59
27.2%
50 14
 
6.5%
70 11
 
5.1%

Length

2024-04-30T05:06:58.811473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:58.910922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 133
61.3%
20 59
27.2%
50 14
 
6.5%
70 11
 
5.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
폐업
133 
영업중
59 
타시군구이관
14 
등록취소
 
11

Length

Max length6
Median length2
Mean length2.6313364
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 133
61.3%
영업중 59
27.2%
타시군구이관 14
 
6.5%
등록취소 11
 
5.1%

Length

2024-04-30T05:06:59.024449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:59.119707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 133
61.3%
영업중 59
27.2%
타시군구이관 14
 
6.5%
등록취소 11
 
5.1%

폐업일자
Date

MISSING 

Distinct96
Distinct (%)98.0%
Missing119
Missing (%)54.8%
Memory size1.8 KiB
Minimum2006-07-18 00:00:00
Maximum2024-04-08 00:00:00
2024-04-30T05:06:59.223452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:06:59.340329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing217
Missing (%)100.0%
Memory size2.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing217
Missing (%)100.0%
Memory size2.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing217
Missing (%)100.0%
Memory size2.0 KiB

전화번호
Text

MISSING 

Distinct92
Distinct (%)98.9%
Missing124
Missing (%)57.1%
Memory size1.8 KiB
2024-04-30T05:06:59.560442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.967742
Min length7

Characters and Unicode

Total characters1020
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

Unique91 ?
Unique (%)97.8%

Sample

1st row229886867
2nd row0222950491
3rd row4647112
4th row0222947180
5th row02 499 0022
ValueCountFrequency (%)
02 51
30.0%
070 5
 
2.9%
22441027 2
 
1.2%
499 2
 
1.2%
22140454 2
 
1.2%
8219 1
 
0.6%
07082443270 1
 
0.6%
0222443399 1
 
0.6%
47123145 1
 
0.6%
21386135 1
 
0.6%
Other values (103) 103
60.6%
2024-04-30T05:06:59.875884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 209
20.5%
0 172
16.9%
130
12.7%
4 85
8.3%
1 70
 
6.9%
9 64
 
6.3%
8 63
 
6.2%
6 61
 
6.0%
5 60
 
5.9%
7 54
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 890
87.3%
Space Separator 130
 
12.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 209
23.5%
0 172
19.3%
4 85
9.6%
1 70
 
7.9%
9 64
 
7.2%
8 63
 
7.1%
6 61
 
6.9%
5 60
 
6.7%
7 54
 
6.1%
3 52
 
5.8%
Space Separator
ValueCountFrequency (%)
130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1020
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 209
20.5%
0 172
16.9%
130
12.7%
4 85
8.3%
1 70
 
6.9%
9 64
 
6.3%
8 63
 
6.2%
6 61
 
6.0%
5 60
 
5.9%
7 54
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 209
20.5%
0 172
16.9%
130
12.7%
4 85
8.3%
1 70
 
6.9%
9 64
 
6.3%
8 63
 
6.2%
6 61
 
6.0%
5 60
 
5.9%
7 54
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing217
Missing (%)100.0%
Memory size2.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)79.3%
Missing188
Missing (%)86.6%
Infinite0
Infinite (%)0.0%
Mean124179.86
Minimum0
Maximum133882
Zeros2
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-30T05:06:59.987481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile52012.4
Q1133070
median133728
Q3133837
95-th percentile133865
Maximum133882
Range133882
Interquartile range (IQR)767

Descriptive statistics

Standard deviation34403.592
Coefficient of variation (CV)0.27704646
Kurtosis11.681895
Mean124179.86
Median Absolute Deviation (MAD)154
Skewness-3.5876926
Sum3601216
Variance1.1836071 × 109
MonotonicityNot monotonic
2024-04-30T05:07:00.113176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
133728 3
 
1.4%
133040 3
 
1.4%
133847 2
 
0.9%
0 2
 
0.9%
133071 1
 
0.5%
130031 1
 
0.5%
133120 1
 
0.5%
133819 1
 
0.5%
133112 1
 
0.5%
133827 1
 
0.5%
Other values (13) 13
 
6.0%
(Missing) 188
86.6%
ValueCountFrequency (%)
0 2
0.9%
130031 1
 
0.5%
133022 1
 
0.5%
133040 3
1.4%
133070 1
 
0.5%
133071 1
 
0.5%
133092 1
 
0.5%
133094 1
 
0.5%
133112 1
 
0.5%
133120 1
 
0.5%
ValueCountFrequency (%)
133882 1
0.5%
133867 1
0.5%
133862 1
0.5%
133849 1
0.5%
133848 1
0.5%
133847 2
0.9%
133837 1
0.5%
133836 1
0.5%
133827 1
0.5%
133819 1
0.5%

지번주소
Text

MISSING 

Distinct208
Distinct (%)97.2%
Missing3
Missing (%)1.4%
Memory size1.8 KiB
2024-04-30T05:07:00.376787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length30.257009
Min length11

Characters and Unicode

Total characters6475
Distinct characters235
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

Unique202 ?
Unique (%)94.4%

Sample

1st row서울특별시 도봉구 창동 31호 7통 2반 주공아파트 1801 1502
2nd row경기도 고양시일산구 마두동 734호 11통 10반 백마마을 405 205
3rd row서울특별시 노원구 상계동 1282호 25통 4반 상계2차중앙하이츠아 203 401
4th row서울특별시 광진구 군자동 100번지 109호 1통 3반 서원힐탑아파트 가 103
5th row서울특별시 성동구 왕십리2동 946번지 15호 6층호
ValueCountFrequency (%)
서울특별시 192
 
14.3%
성동구 148
 
11.0%
성수동2가 35
 
2.6%
용답동 28
 
2.1%
성수동1가 17
 
1.3%
2호 15
 
1.1%
1호 13
 
1.0%
행당동 12
 
0.9%
2반 11
 
0.8%
경기도 11
 
0.8%
Other values (564) 859
64.1%
2024-04-30T05:07:00.775367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1241
19.2%
동 385
 
5.9%
1 312
 
4.8%
2 288
 
4.4%
성 241
 
3.7%
호 217
 
3.4%
시 215
 
3.3%
서 208
 
3.2%
구 205
 
3.2%
울 197
 
3.0%
Other values (225) 2966
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3665
56.6%
Decimal Number 1483
22.9%
Space Separator 1241
 
19.2%
Dash Punctuation 39
 
0.6%
Uppercase Letter 35
 
0.5%
Lowercase Letter 4
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 385
 
10.5%
성 241
 
6.6%
호 217
 
5.9%
시 215
 
5.9%
서 208
 
5.7%
구 205
 
5.6%
울 197
 
5.4%
별 193
 
5.3%
특 193
 
5.3%
지 137
 
3.7%
Other values (189) 1474
40.2%
Uppercase Letter
ValueCountFrequency (%)
E 5
14.3%
T 4
11.4%
B 4
11.4%
K 3
8.6%
S 2
 
5.7%
N 2
 
5.7%
C 2
 
5.7%
W 2
 
5.7%
R 2
 
5.7%
V 2
 
5.7%
Other values (6) 7
20.0%
Decimal Number
ValueCountFrequency (%)
1 312
21.0%
2 288
19.4%
0 158
10.7%
3 148
10.0%
4 127
8.6%
5 102
 
6.9%
6 96
 
6.5%
7 95
 
6.4%
8 82
 
5.5%
9 75
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
e 1
25.0%
w 1
25.0%
o 1
25.0%
Space Separator
ValueCountFrequency (%)
1241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3665
56.6%
Common 2771
42.8%
Latin 39
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 385
 
10.5%
성 241
 
6.6%
호 217
 
5.9%
시 215
 
5.9%
서 208
 
5.7%
구 205
 
5.6%
울 197
 
5.4%
별 193
 
5.3%
특 193
 
5.3%
지 137
 
3.7%
Other values (189) 1474
40.2%
Latin
ValueCountFrequency (%)
E 5
12.8%
T 4
 
10.3%
B 4
 
10.3%
K 3
 
7.7%
S 2
 
5.1%
N 2
 
5.1%
C 2
 
5.1%
W 2
 
5.1%
R 2
 
5.1%
V 2
 
5.1%
Other values (10) 11
28.2%
Common
ValueCountFrequency (%)
1241
44.8%
1 312
 
11.3%
2 288
 
10.4%
0 158
 
5.7%
3 148
 
5.3%
4 127
 
4.6%
5 102
 
3.7%
6 96
 
3.5%
7 95
 
3.4%
8 82
 
3.0%
Other values (6) 122
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3665
56.6%
ASCII 2810
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1241
44.2%
1 312
 
11.1%
2 288
 
10.2%
0 158
 
5.6%
3 148
 
5.3%
4 127
 
4.5%
5 102
 
3.6%
6 96
 
3.4%
7 95
 
3.4%
8 82
 
2.9%
Other values (26) 161
 
5.7%
Hangul
ValueCountFrequency (%)
동 385
 
10.5%
성 241
 
6.6%
호 217
 
5.9%
시 215
 
5.9%
서 208
 
5.7%
구 205
 
5.6%
울 197
 
5.4%
별 193
 
5.3%
특 193
 
5.3%
지 137
 
3.7%
Other values (189) 1474
40.2%

도로명주소
Text

MISSING 

Distinct181
Distinct (%)99.5%
Missing35
Missing (%)16.1%
Memory size1.8 KiB
2024-04-30T05:07:01.015195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length42
Mean length35.054945
Min length22

Characters and Unicode

Total characters6380
Distinct characters259
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

Unique180 ?
Unique (%)98.9%

Sample

1st row서울특별시 도봉구 노해로70길 119, 1801동 1502호 (창동,주공아파트)
2nd row서울특별시 광진구 군자로 100-3, 가동 103호 (군자동,서원힐탑아파트)
3rd row서울특별시 성동구 왕십리로 363, 6층호 (하왕십리동)
4th row서울특별시 성동구 고산자로 331 (마장동)
5th row서울특별시 성동구 천호대로 286 (용답동)
ValueCountFrequency (%)
서울특별시 173
 
14.4%
성동구 139
 
11.6%
성수동2가 36
 
3.0%
용답동 27
 
2.3%
성수동1가 18
 
1.5%
2층 16
 
1.3%
왕십리로 14
 
1.2%
천호대로 13
 
1.1%
4층 11
 
0.9%
행당동 11
 
0.9%
Other values (480) 741
61.8%
2024-04-30T05:07:01.397378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1018
 
16.0%
동 384
 
6.0%
1 272
 
4.3%
성 235
 
3.7%
2 219
 
3.4%
시 197
 
3.1%
서 191
 
3.0%
) 185
 
2.9%
( 185
 
2.9%
울 179
 
2.8%
Other values (249) 3315
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3615
56.7%
Decimal Number 1128
 
17.7%
Space Separator 1018
 
16.0%
Close Punctuation 185
 
2.9%
Open Punctuation 185
 
2.9%
Other Punctuation 178
 
2.8%
Uppercase Letter 33
 
0.5%
Dash Punctuation 28
 
0.4%
Lowercase Letter 9
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 384
 
10.6%
성 235
 
6.5%
시 197
 
5.4%
서 191
 
5.3%
울 179
 
5.0%
구 178
 
4.9%
별 174
 
4.8%
특 174
 
4.8%
로 142
 
3.9%
호 134
 
3.7%
Other values (211) 1627
45.0%
Uppercase Letter
ValueCountFrequency (%)
T 4
12.1%
R 3
9.1%
B 3
9.1%
K 3
9.1%
D 3
9.1%
E 2
 
6.1%
V 2
 
6.1%
S 2
 
6.1%
I 2
 
6.1%
W 2
 
6.1%
Other values (7) 7
21.2%
Decimal Number
ValueCountFrequency (%)
1 272
24.1%
2 219
19.4%
0 141
12.5%
3 127
11.3%
4 82
 
7.3%
5 65
 
5.8%
6 61
 
5.4%
7 59
 
5.2%
8 51
 
4.5%
9 51
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
o 2
22.2%
w 2
22.2%
r 2
22.2%
e 2
22.2%
a 1
11.1%
Space Separator
ValueCountFrequency (%)
1018
100.0%
Close Punctuation
ValueCountFrequency (%)
) 185
100.0%
Open Punctuation
ValueCountFrequency (%)
( 185
100.0%
Other Punctuation
ValueCountFrequency (%)
, 178
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3615
56.7%
Common 2723
42.7%
Latin 42
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 384
 
10.6%
성 235
 
6.5%
시 197
 
5.4%
서 191
 
5.3%
울 179
 
5.0%
구 178
 
4.9%
별 174
 
4.8%
특 174
 
4.8%
로 142
 
3.9%
호 134
 
3.7%
Other values (211) 1627
45.0%
Latin
ValueCountFrequency (%)
T 4
 
9.5%
R 3
 
7.1%
B 3
 
7.1%
K 3
 
7.1%
D 3
 
7.1%
o 2
 
4.8%
w 2
 
4.8%
E 2
 
4.8%
V 2
 
4.8%
S 2
 
4.8%
Other values (12) 16
38.1%
Common
ValueCountFrequency (%)
1018
37.4%
1 272
 
10.0%
2 219
 
8.0%
) 185
 
6.8%
( 185
 
6.8%
, 178
 
6.5%
0 141
 
5.2%
3 127
 
4.7%
4 82
 
3.0%
5 65
 
2.4%
Other values (6) 251
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3615
56.7%
ASCII 2765
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1018
36.8%
1 272
 
9.8%
2 219
 
7.9%
) 185
 
6.7%
( 185
 
6.7%
, 178
 
6.4%
0 141
 
5.1%
3 127
 
4.6%
4 82
 
3.0%
5 65
 
2.4%
Other values (28) 293
 
10.6%
Hangul
ValueCountFrequency (%)
동 384
 
10.6%
성 235
 
6.5%
시 197
 
5.4%
서 191
 
5.3%
울 179
 
5.0%
구 178
 
4.9%
별 174
 
4.8%
특 174
 
4.8%
로 142
 
3.9%
호 134
 
3.7%
Other values (211) 1627
45.0%

도로명우편번호
Text

MISSING 

Distinct55
Distinct (%)51.4%
Missing110
Missing (%)50.7%
Memory size1.8 KiB
2024-04-30T05:07:01.596872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2523364
Min length5

Characters and Unicode

Total characters562
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

Unique36 ?
Unique (%)33.6%

Sample

1st row133-823
2nd row04797
3rd row133849
4th row133836
5th row04744
ValueCountFrequency (%)
04808 11
 
10.3%
04804 6
 
5.6%
04782 5
 
4.7%
04799 4
 
3.7%
04790 4
 
3.7%
04779 4
 
3.7%
04709 4
 
3.7%
04793 4
 
3.7%
04797 4
 
3.7%
04736 3
 
2.8%
Other values (45) 58
54.2%
2024-04-30T05:07:01.911998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 127
22.6%
4 101
18.0%
7 88
15.7%
8 67
11.9%
3 57
10.1%
1 37
 
6.6%
9 34
 
6.0%
2 17
 
3.0%
5 17
 
3.0%
6 11
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 556
98.9%
Dash Punctuation 6
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 127
22.8%
4 101
18.2%
7 88
15.8%
8 67
12.1%
3 57
10.3%
1 37
 
6.7%
9 34
 
6.1%
2 17
 
3.1%
5 17
 
3.1%
6 11
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 562
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 127
22.6%
4 101
18.0%
7 88
15.7%
8 67
11.9%
3 57
10.1%
1 37
 
6.6%
9 34
 
6.0%
2 17
 
3.0%
5 17
 
3.0%
6 11
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 562
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 127
22.6%
4 101
18.0%
7 88
15.7%
8 67
11.9%
3 57
10.1%
1 37
 
6.6%
9 34
 
6.0%
2 17
 
3.0%
5 17
 
3.0%
6 11
 
2.0%

사업장명
Text

Distinct207
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-30T05:07:02.105667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length7.2488479
Min length2

Characters and Unicode

Total characters1573
Distinct characters265
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

Unique197 ?
Unique (%)90.8%

Sample

1st row강서취업
2nd row광무직업소개소
3rd row이강직업정보원
4th row제일직업안내
5th row(주)통일직업안내
ValueCountFrequency (%)
주식회사 17
 
6.4%
직업소개소 9
 
3.4%
서울간병인협회 2
 
0.7%
제일골프종합기획 2
 
0.7%
인력 2
 
0.7%
동부인력 2
 
0.7%
이강직업정보원 2
 
0.7%
미광파출부 2
 
0.7%
성동점 2
 
0.7%
가나인력 2
 
0.7%
Other values (219) 225
84.3%
2024-04-30T05:07:02.386297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 102
 
6.5%
인 70
 
4.5%
업 63
 
4.0%
개 63
 
4.0%
직 55
 
3.5%
력 54
 
3.4%
주 51
 
3.2%
50
 
3.2%
) 35
 
2.2%
( 34
 
2.2%
Other values (255) 996
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1415
90.0%
Space Separator 50
 
3.2%
Close Punctuation 35
 
2.2%
Open Punctuation 34
 
2.2%
Uppercase Letter 18
 
1.1%
Lowercase Letter 11
 
0.7%
Other Punctuation 6
 
0.4%
Decimal Number 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 102
 
7.2%
인 70
 
4.9%
업 63
 
4.5%
개 63
 
4.5%
직 55
 
3.9%
력 54
 
3.8%
주 51
 
3.6%
이 28
 
2.0%
사 27
 
1.9%
스 26
 
1.8%
Other values (228) 876
61.9%
Uppercase Letter
ValueCountFrequency (%)
E 3
16.7%
I 2
11.1%
L 2
11.1%
N 2
11.1%
V 2
11.1%
T 1
 
5.6%
P 1
 
5.6%
H 1
 
5.6%
S 1
 
5.6%
G 1
 
5.6%
Other values (2) 2
11.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
18.2%
r 2
18.2%
a 2
18.2%
s 1
9.1%
l 1
9.1%
u 1
9.1%
t 1
9.1%
n 1
9.1%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
5 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1415
90.0%
Common 129
 
8.2%
Latin 29
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 102
 
7.2%
인 70
 
4.9%
업 63
 
4.5%
개 63
 
4.5%
직 55
 
3.9%
력 54
 
3.8%
주 51
 
3.6%
이 28
 
2.0%
사 27
 
1.9%
스 26
 
1.8%
Other values (228) 876
61.9%
Latin
ValueCountFrequency (%)
E 3
 
10.3%
e 2
 
6.9%
r 2
 
6.9%
I 2
 
6.9%
L 2
 
6.9%
N 2
 
6.9%
V 2
 
6.9%
a 2
 
6.9%
T 1
 
3.4%
s 1
 
3.4%
Other values (10) 10
34.5%
Common
ValueCountFrequency (%)
50
38.8%
) 35
27.1%
( 34
26.4%
. 6
 
4.7%
2 2
 
1.6%
5 1
 
0.8%
1 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1415
90.0%
ASCII 158
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 102
 
7.2%
인 70
 
4.9%
업 63
 
4.5%
개 63
 
4.5%
직 55
 
3.9%
력 54
 
3.8%
주 51
 
3.6%
이 28
 
2.0%
사 27
 
1.9%
스 26
 
1.8%
Other values (228) 876
61.9%
ASCII
ValueCountFrequency (%)
50
31.6%
) 35
22.2%
( 34
21.5%
. 6
 
3.8%
E 3
 
1.9%
e 2
 
1.3%
r 2
 
1.3%
I 2
 
1.3%
L 2
 
1.3%
N 2
 
1.3%
Other values (17) 20
 
12.7%

최종수정일자
Date

UNIQUE 

Distinct217
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2003-02-12 10:50:46
Maximum2024-04-22 15:44:48
2024-04-30T05:07:02.501976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:07:02.619117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
I
120 
U
97 

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 120
55.3%
U 97
44.7%

Length

2024-04-30T05:07:02.911897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:07:02.994734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 120
55.3%
u 97
44.7%

데이터갱신일자
Date

Distinct97
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-30T05:07:03.089734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:07:03.196842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing217
Missing (%)100.0%
Memory size2.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)86.1%
Missing15
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean204426.3
Minimum151371.86
Maximum383444.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-30T05:07:03.306759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum151371.86
5-th percentile192791.43
Q1202865.6
median204475.7
Q3205309.14
95-th percentile208730.31
Maximum383444.99
Range232073.14
Interquartile range (IQR)2443.5414

Descriptive statistics

Standard deviation14845.737
Coefficient of variation (CV)0.072621466
Kurtosis107.5391
Mean204426.3
Median Absolute Deviation (MAD)1330.2336
Skewness8.7828498
Sum41294112
Variance2.2039592 × 108
MonotonicityNot monotonic
2024-04-30T05:07:03.429876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205039.907145725 6
 
2.8%
205784.868811814 3
 
1.4%
202372.912023599 3
 
1.4%
203089.863865288 3
 
1.4%
204404.595953222 3
 
1.4%
204669.766218859 2
 
0.9%
204635.819505063 2
 
0.9%
195680.201428095 2
 
0.9%
204040.421674852 2
 
0.9%
205638.676388032 2
 
0.9%
Other values (164) 174
80.2%
(Missing) 15
 
6.9%
ValueCountFrequency (%)
151371.857313 1
0.5%
174879.339472652 1
0.5%
178140.376375367 1
0.5%
180813.434449942 1
0.5%
185051.869433912 1
0.5%
187441.108308579 1
0.5%
190372.127120283 1
0.5%
191611.27467315 1
0.5%
191930.359839 1
0.5%
192004.784876087 1
0.5%
ValueCountFrequency (%)
383444.992549471 1
0.5%
260238.503220855 1
0.5%
237541.163719 1
0.5%
218888.43770472 1
0.5%
217371.119987782 1
0.5%
212216.469825314 1
0.5%
211836.521167365 1
0.5%
210347.070743819 1
0.5%
210222.965571991 1
0.5%
209720.290631496 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)86.1%
Missing15
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean443429.18
Minimum-28687.467
Maximum469750.61
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.5%
Memory size2.0 KiB
2024-04-30T05:07:03.546961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-28687.467
5-th percentile442739.79
Q1448991.61
median449754.08
Q3451270.89
95-th percentile456807.3
Maximum469750.61
Range498438.08
Interquartile range (IQR)2279.2748

Descriptive statistics

Standard deviation46391.33
Coefficient of variation (CV)0.10461948
Kurtosis64.506469
Mean443429.18
Median Absolute Deviation (MAD)1208.9682
Skewness-7.6472242
Sum89572694
Variance2.1521555 × 109
MonotonicityNot monotonic
2024-04-30T05:07:03.655910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449216.223655036 6
 
2.8%
450883.524006222 3
 
1.4%
451536.680876573 3
 
1.4%
451271.366165685 3
 
1.4%
449754.076983965 3
 
1.4%
449087.756734084 2
 
0.9%
449547.466394941 2
 
0.9%
444703.009683468 2
 
0.9%
448875.451779475 2
 
0.9%
449369.788095658 2
 
0.9%
Other values (164) 174
80.2%
(Missing) 15
 
6.9%
ValueCountFrequency (%)
-28687.4670265 1
0.5%
185456.498077 1
0.5%
195425.757363308 1
0.5%
211119.781790675 1
0.5%
320002.00118 1
0.5%
426680.059248194 1
0.5%
432108.837191038 1
0.5%
439126.109849944 1
0.5%
441560.654924337 1
0.5%
442129.125880562 1
0.5%
ValueCountFrequency (%)
469750.612982877 1
0.5%
464068.573952126 1
0.5%
461445.521898128 1
0.5%
461400.108819563 2
0.9%
460502.142057258 1
0.5%
460251.094498395 1
0.5%
459793.212770144 1
0.5%
458742.370878392 1
0.5%
456854.155795732 1
0.5%
456842.47228681 1
0.5%

법인구분명
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
개인
127 
<NA>
73 
법인
17 

Length

Max length4
Median length2
Mean length2.6728111
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 127
58.5%
<NA> 73
33.6%
법인 17
 
7.8%

Length

2024-04-30T05:07:03.770833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:07:03.867448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 127
58.5%
na 73
33.6%
법인 17
 
7.8%

구분명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
유료
144 
<NA>
73 

Length

Max length4
Median length2
Mean length2.6728111
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 144
66.4%
<NA> 73
33.6%

Length

2024-04-30T05:07:03.974531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:07:04.080738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 144
66.4%
na 73
33.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03030000199830300741150000119980801<NA>3폐업40폐업20090924<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 31호 7통 2반 주공아파트 1801 1502서울특별시 도봉구 노해로70길 119, 1801동 1502호 (창동,주공아파트)<NA>강서취업2009-09-24 17:44:58I2018-08-31 23:59:59.0<NA>204674.438928460502.142057개인유료
13030000199930300741150000119990604<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>경기도 고양시일산구 마두동 734호 11통 10반 백마마을 405 205<NA><NA>광무직업소개소2005-08-03 16:21:34I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
23030000199930300741150000219990831<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 1282호 25통 4반 상계2차중앙하이츠아 203 401<NA><NA>이강직업정보원2004-10-08 10:49:27I2018-08-31 23:59:59.0<NA>205958.283359461400.10882개인유료
33030000199930300741150000319990916<NA>3폐업40폐업20100708<NA><NA><NA><NA><NA><NA>서울특별시 광진구 군자동 100번지 109호 1통 3반 서원힐탑아파트 가 103서울특별시 광진구 군자로 100-3, 가동 103호 (군자동,서원힐탑아파트)<NA>제일직업안내2010-07-08 14:09:14I2018-08-31 23:59:59.0<NA>206281.879157449990.727984법인유료
43030000200030300741150000220001031<NA>3폐업40폐업20121228<NA><NA><NA>229886867<NA>133022서울특별시 성동구 왕십리2동 946번지 15호 6층호서울특별시 성동구 왕십리로 363, 6층호 (하왕십리동)<NA>(주)통일직업안내2012-12-31 10:33:02I2018-08-31 23:59:59.0<NA>202551.746419451297.350454법인유료
53030000200130300741150000120010402<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 금호동2가 산14호 4통 3반<NA><NA>강인직업소개소2005-09-26 11:28:14I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
63030000200130300741150000220010531<NA>3폐업40폐업20181218<NA><NA><NA>0222950491<NA><NA>서울특별시 성동구 마장동 568번지 1호서울특별시 성동구 고산자로 331 (마장동)<NA>모임방2019-10-31 16:23:41U2019-11-02 02:40:00.0<NA>203206.080956451876.144214개인유료
73030000200130300741150000320010724<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 용답동 98번지 4호 10통 3반서울특별시 성동구 천호대로 286 (용답동)<NA>동일직업소개소2003-02-12 10:50:46I2018-08-31 23:59:59.0<NA>204563.519927451589.386994개인유료
83030000200130300741150000420010801<NA>3폐업40폐업20100531<NA><NA><NA><NA><NA>133040서울특별시 성동구 도선동 48번지 3층서울특별시 성동구 왕십리로 320-1 (도선동,3층)<NA>대영직업안내소2010-05-31 17:02:26I2018-08-31 23:59:59.0<NA>202950.728812451115.849929개인유료
93030000200130300741150000520011126<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 창전동 187번지 6호 13통 4반<NA><NA>강남취업정보사2003-02-12 11:07:26I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
207303000020233030135145000032023-06-28<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당동 133-6서울특별시 성동구 왕십리로 273-1, 2층 203호 (행당동)04745든든한파출부 성동점2023-06-28 11:14:29I2022-12-05 21:00:00.0<NA>203208.995497450729.889205<NA><NA>
208303000020233030135145000052022-11-01<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 720-7 아이타워 1501호서울특별시 강남구 테헤란로 242, 아이타워 15층 1501호 (역삼동)06221알렉스앤앨리스 주식회사2024-03-29 11:24:50U2023-12-02 21:01:00.0<NA>203698.737138444439.683654<NA><NA>
209303000020233030135145000062023-11-07<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 금호동4가 1399-1서울특별시 성동구 동호로2길 17-9, 2층 (금호동4가)04725금호인력개발2023-11-07 09:17:39I2022-11-01 00:09:00.0<NA>201514.129156449517.846323<NA><NA>
210303000020233030135145000072023-11-17<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 용답동 51-5서울특별시 성동구 용답19길 3-1, 2층 (용답동)04804누리마루2023-11-17 16:11:24I2022-10-31 23:09:00.0<NA>204481.098687451174.365026<NA><NA>
211303000020233030135145000082020-10-27<NA>1영업/정상20영업중<NA><NA><NA><NA>02 21635700<NA><NA>서울특별시 영등포구 양평동5가 1-1 선유도역1차아이에스비즈타워 B103호서울특별시 영등포구 양평로21길 26, 선유도역1차아이에스비즈타워 B103호 (양평동5가)07207(주)알파코2023-11-28 10:01:55U2022-10-31 21:00:00.0<NA>190372.12712448218.446478<NA><NA>
212303000020233030135145000092023-12-12<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동1가 656-292 KD타워서울특별시 성동구 왕십리로 125, KD타워 4층 405호 (성수동1가)04766주식회사 커피챗2023-12-12 16:48:49I2022-11-01 23:04:00.0<NA>203808.75878449612.381771<NA><NA>
213303000020233030135145000102023-12-26<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 용답동 69-2 드래곤힐서울특별시 성동구 천호대로 298, 2층 205호 (용답동, 드래곤힐)04804개미인력 서울성동점2023-12-26 16:43:51I2022-11-01 22:08:00.0<NA>204641.686467451508.445497<NA><NA>
214303000020243030135145000022024-02-27<NA>1영업/정상20영업중<NA><NA><NA><NA>02 69542272<NA><NA>서울특별시 성동구 성수동2가 284-22 성동안심상가서울특별시 성동구 성수일로12길 20, 성동안심상가 6층 605호 (성수동2가)04793(주)커리어투어2024-02-27 09:28:13I2023-12-01 22:09:00.0<NA>204635.819505449547.466395<NA><NA>
215303000020243030135145000032024-03-11<NA>1영업/정상20영업중<NA><NA><NA><NA>02 4638129<NA><NA>서울특별시 성동구 성수동2가 320-1서울특별시 성동구 성수이로 77, 4층 (성수동2가)04781밸류 파트너스(Value Partners)2024-03-11 08:35:57I2023-12-02 23:03:00.0<NA>204861.71964448864.538066<NA><NA>
216303000020243030135145000042013-06-10<NA>1영업/정상20영업중2024-04-08<NA><NA><NA>02 20519826<NA><NA>서울특별시 성동구 성수동2가 281-16 일신건영휴먼테코서울특별시 성동구 아차산로17길 57, 일신건영휴먼테코 12층 1206호 (성수동2가)04799온리원파트너스(주)2024-04-09 18:05:40I2023-12-03 23:01:00.0<NA>205753.250469449482.033815<NA><NA>