Overview

Dataset statistics

Number of variables27
Number of observations62
Missing cells610
Missing cells (%)36.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.1 KiB
Average record size in memory232.1 B

Variable types

Numeric5
DateTime3
Unsupported7
Categorical6
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),사무소전화번호,사업장전화번호
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16105/S/1/datasetView.do

Alerts

소재지우편번호 has constant value ""Constant
영업상태코드 is highly imbalanced (63.0%)Imbalance
영업상태명 is highly imbalanced (63.0%)Imbalance
상세영업상태코드 is highly imbalanced (63.0%)Imbalance
인허가취소일자 has 62 (100.0%) missing valuesMissing
폐업일자 has 55 (88.7%) missing valuesMissing
휴업시작일자 has 62 (100.0%) missing valuesMissing
휴업종료일자 has 62 (100.0%) missing valuesMissing
재개업일자 has 62 (100.0%) missing valuesMissing
전화번호 has 15 (24.2%) missing valuesMissing
소재지면적 has 62 (100.0%) missing valuesMissing
소재지우편번호 has 61 (98.4%) missing valuesMissing
지번주소 has 21 (33.9%) missing valuesMissing
도로명주소 has 2 (3.2%) missing valuesMissing
도로명우편번호 has 3 (4.8%) missing valuesMissing
업태구분명 has 62 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.6%) missing valuesMissing
좌표정보(Y) has 1 (1.6%) missing valuesMissing
사무소전화번호 has 62 (100.0%) missing valuesMissing
사업장전화번호 has 17 (27.4%) 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
사무소전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 12:07:44.143135
Analysis finished2024-04-06 12:07:45.177899
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct17
Distinct (%)27.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3590645.2
Minimum3000000
Maximum6110000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T21:07:45.315864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3030000
Q13170000
median3180000
Q33230000
95-th percentile6110000
Maximum6110000
Range3110000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation1048547.6
Coefficient of variation (CV)0.29202206
Kurtosis2.3032642
Mean3590645.2
Median Absolute Deviation (MAD)40000
Skewness2.0489234
Sum2.2262 × 108
Variance1.099452 × 1012
MonotonicityNot monotonic
2024-04-06T21:07:45.542862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3170000 16
25.8%
6110000 9
14.5%
3180000 8
12.9%
3230000 6
 
9.7%
3220000 6
 
9.7%
3030000 4
 
6.5%
3240000 3
 
4.8%
3130000 1
 
1.6%
3200000 1
 
1.6%
3160000 1
 
1.6%
Other values (7) 7
11.3%
ValueCountFrequency (%)
3000000 1
 
1.6%
3010000 1
 
1.6%
3020000 1
 
1.6%
3030000 4
 
6.5%
3050000 1
 
1.6%
3060000 1
 
1.6%
3090000 1
 
1.6%
3130000 1
 
1.6%
3160000 1
 
1.6%
3170000 16
25.8%
ValueCountFrequency (%)
6110000 9
14.5%
3240000 3
 
4.8%
3230000 6
 
9.7%
3220000 6
 
9.7%
3210000 1
 
1.6%
3200000 1
 
1.6%
3180000 8
12.9%
3170000 16
25.8%
3160000 1
 
1.6%
3130000 1
 
1.6%

관리번호
Real number (ℝ)

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7541518 × 1018
Minimum2.015611 × 1017
Maximum2.024317 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T21:07:45.807449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.015611 × 1017
5-th percentile2.015661 × 1017
Q12.016318 × 1018
median2.018302 × 1018
Q32.020058 × 1018
95-th percentile2.0232671 × 1018
Maximum2.024317 × 1018
Range1.8227559 × 1018
Interquartile range (IQR)3.7399979 × 1015

Descriptive statistics

Standard deviation6.4501044 × 1017
Coefficient of variation (CV)0.36770502
Kurtosis2.3376542
Mean1.7541518 × 1018
Median Absolute Deviation (MAD)1.992497 × 1015
Skewness-2.0646361
Sum-1.9230506 × 1018
Variance4.1603847 × 1035
MonotonicityNot monotonic
2024-04-06T21:07:46.099999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2021318023906500001 1
 
1.6%
2017324018906500001 1
 
1.6%
2021320022506500001 1
 
1.6%
2016318016306500003 1
 
1.6%
2021322024906500001 1
 
1.6%
2017322016206500004 1
 
1.6%
2017322016206500002 1
 
1.6%
2017322016206500001 1
 
1.6%
2017322016206500005 1
 
1.6%
2017322016206500003 1
 
1.6%
Other values (52) 52
83.9%
ValueCountFrequency (%)
201561100009400001 1
1.6%
201561100009400002 1
1.6%
201561100009400003 1
1.6%
201561100009400004 1
1.6%
201661100009400001 1
1.6%
201661100009400002 1
1.6%
201661100009400003 1
1.6%
201661100009400004 1
1.6%
201761100009400001 1
1.6%
1991303007406500001 1
1.6%
ValueCountFrequency (%)
2024317025706500006 1
1.6%
2023323029106500001 1
1.6%
2023321019506500001 1
1.6%
2023317025706500004 1
1.6%
2022318023906500001 1
1.6%
2022317023506500007 1
1.6%
2022317023506500004 1
1.6%
2022317023506500002 1
1.6%
2022306017606500001 1
1.6%
2021322024906500001 1
1.6%

인허가일자
Date

Distinct50
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
Minimum1987-04-13 00:00:00
Maximum2024-03-08 00:00:00
2024-04-06T21:07:46.428942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:07:47.255728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
1
53 
3
7 
2
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 53
85.5%
3 7
 
11.3%
2 1
 
1.6%
4 1
 
1.6%

Length

2024-04-06T21:07:47.533285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:47.759929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 53
85.5%
3 7
 
11.3%
2 1
 
1.6%
4 1
 
1.6%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
영업/정상
53 
폐업
7 
휴업
 
1
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.7580645
Min length2

Unique

Unique2 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 53
85.5%
폐업 7
 
11.3%
휴업 1
 
1.6%
취소/말소/만료/정지/중지 1
 
1.6%

Length

2024-04-06T21:07:48.025954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:48.255147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 53
85.5%
폐업 7
 
11.3%
휴업 1
 
1.6%
취소/말소/만료/정지/중지 1
 
1.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
1
53 
3
7 
2
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 53
85.5%
3 7
 
11.3%
2 1
 
1.6%
5 1
 
1.6%

Length

2024-04-06T21:07:48.571061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:48.831362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 53
85.5%
3 7
 
11.3%
2 1
 
1.6%
5 1
 
1.6%

상세영업상태명
Categorical

Distinct5
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size628.0 B
영업중
44 
등록
9 
폐업
7 
휴업
 
1
직권말소
 
1

Length

Max length4
Median length3
Mean length2.7419355
Min length2

Unique

Unique2 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 44
71.0%
등록 9
 
14.5%
폐업 7
 
11.3%
휴업 1
 
1.6%
직권말소 1
 
1.6%

Length

2024-04-06T21:07:49.078262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:49.297882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 44
71.0%
등록 9
 
14.5%
폐업 7
 
11.3%
휴업 1
 
1.6%
직권말소 1
 
1.6%

폐업일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing55
Missing (%)88.7%
Memory size628.0 B
Minimum2018-03-28 00:00:00
Maximum2023-10-13 00:00:00
2024-04-06T21:07:49.490910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:07:49.703872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

전화번호
Text

MISSING 

Distinct46
Distinct (%)97.9%
Missing15
Missing (%)24.2%
Memory size628.0 B
2024-04-06T21:07:50.058587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.319149
Min length7

Characters and Unicode

Total characters485
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

Unique45 ?
Unique (%)95.7%

Sample

1st row22968657
2nd row02 522 2429
3rd row024602000
4th row18776546
5th row26755999
ValueCountFrequency (%)
02 20
25.3%
18008936 2
 
2.5%
6245 2
 
2.5%
856 2
 
2.5%
000208065022 1
 
1.3%
75432731 1
 
1.3%
20340114 1
 
1.3%
000220272390 1
 
1.3%
891 1
 
1.3%
0181 1
 
1.3%
Other values (47) 47
59.5%
2024-04-06T21:07:50.718273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 90
18.6%
2 79
16.3%
53
10.9%
1 36
 
7.4%
9 36
 
7.4%
6 36
 
7.4%
8 33
 
6.8%
7 32
 
6.6%
3 31
 
6.4%
5 30
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
89.1%
Space Separator 53
 
10.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 90
20.8%
2 79
18.3%
1 36
 
8.3%
9 36
 
8.3%
6 36
 
8.3%
8 33
 
7.6%
7 32
 
7.4%
3 31
 
7.2%
5 30
 
6.9%
4 29
 
6.7%
Space Separator
ValueCountFrequency (%)
53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 485
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 90
18.6%
2 79
16.3%
53
10.9%
1 36
 
7.4%
9 36
 
7.4%
6 36
 
7.4%
8 33
 
6.8%
7 32
 
6.6%
3 31
 
6.4%
5 30
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 485
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 90
18.6%
2 79
16.3%
53
10.9%
1 36
 
7.4%
9 36
 
7.4%
6 36
 
7.4%
8 33
 
6.8%
7 32
 
6.6%
3 31
 
6.4%
5 30
 
6.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

소재지우편번호
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing61
Missing (%)98.4%
Memory size628.0 B
2024-04-06T21:07:50.969608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters5
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

Unique1 ?
Unique (%)100.0%

Sample

1st row150-041
ValueCountFrequency (%)
150-041 1
100.0%
2024-04-06T21:07:51.403222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2
28.6%
0 2
28.6%
5 1
14.3%
- 1
14.3%
4 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6
85.7%
Dash Punctuation 1
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2
33.3%
0 2
33.3%
5 1
16.7%
4 1
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2
28.6%
0 2
28.6%
5 1
14.3%
- 1
14.3%
4 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2
28.6%
0 2
28.6%
5 1
14.3%
- 1
14.3%
4 1
14.3%

지번주소
Text

MISSING 

Distinct39
Distinct (%)95.1%
Missing21
Missing (%)33.9%
Memory size628.0 B
2024-04-06T21:07:51.859895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length28.97561
Min length19

Characters and Unicode

Total characters1188
Distinct characters125
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)90.2%

Sample

1st row서울특별시 영등포구 당산동2가 30-2 영등포유통상가 608호
2nd row서울특별시 성동구 마장동 781번지 14호
3rd row서울특별시 서초구 서초동 1443-27 선민빌딩
4th row서울특별시 금천구 가산동 327-30
5th row서울특별시 영등포구 문래동3가 55-20 에이스하이테크시티 2동 1901호
ValueCountFrequency (%)
서울특별시 40
 
17.1%
금천구 16
 
6.8%
가산동 12
 
5.1%
영등포구 10
 
4.3%
6호 7
 
3.0%
여의도동 7
 
3.0%
시흥동 3
 
1.3%
2호 3
 
1.3%
18호 3
 
1.3%
강남구 3
 
1.3%
Other values (111) 130
55.6%
2024-04-06T21:07:52.598144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
 
16.6%
동 48
 
4.0%
시 45
 
3.8%
구 45
 
3.8%
서 44
 
3.7%
특 41
 
3.5%
별 40
 
3.4%
1 40
 
3.4%
울 40
 
3.4%
호 37
 
3.1%
Other values (115) 611
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 749
63.0%
Decimal Number 229
 
19.3%
Space Separator 197
 
16.6%
Dash Punctuation 7
 
0.6%
Uppercase Letter 3
 
0.3%
Other Punctuation 2
 
0.2%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 48
 
6.4%
시 45
 
6.0%
구 45
 
6.0%
서 44
 
5.9%
특 41
 
5.5%
별 40
 
5.3%
울 40
 
5.3%
호 37
 
4.9%
지 34
 
4.5%
번 33
 
4.4%
Other values (98) 342
45.7%
Decimal Number
ValueCountFrequency (%)
1 40
17.5%
6 26
11.4%
3 26
11.4%
4 25
10.9%
2 25
10.9%
0 24
10.5%
5 21
9.2%
8 17
7.4%
9 15
 
6.6%
7 10
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
N 1
33.3%
H 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 749
63.0%
Common 435
36.6%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 48
 
6.4%
시 45
 
6.0%
구 45
 
6.0%
서 44
 
5.9%
특 41
 
5.5%
별 40
 
5.3%
울 40
 
5.3%
호 37
 
4.9%
지 34
 
4.5%
번 33
 
4.4%
Other values (98) 342
45.7%
Common
ValueCountFrequency (%)
197
45.3%
1 40
 
9.2%
6 26
 
6.0%
3 26
 
6.0%
4 25
 
5.7%
2 25
 
5.7%
0 24
 
5.5%
5 21
 
4.8%
8 17
 
3.9%
9 15
 
3.4%
Other values (3) 19
 
4.4%
Latin
ValueCountFrequency (%)
N 1
25.0%
H 1
25.0%
Ⅲ 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 749
63.0%
ASCII 438
36.9%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
45.0%
1 40
 
9.1%
6 26
 
5.9%
3 26
 
5.9%
4 25
 
5.7%
2 25
 
5.7%
0 24
 
5.5%
5 21
 
4.8%
8 17
 
3.9%
9 15
 
3.4%
Other values (6) 22
 
5.0%
Hangul
ValueCountFrequency (%)
동 48
 
6.4%
시 45
 
6.0%
구 45
 
6.0%
서 44
 
5.9%
특 41
 
5.5%
별 40
 
5.3%
울 40
 
5.3%
호 37
 
4.9%
지 34
 
4.5%
번 33
 
4.4%
Other values (98) 342
45.7%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

도로명주소
Text

MISSING 

Distinct57
Distinct (%)95.0%
Missing2
Missing (%)3.2%
Memory size628.0 B
2024-04-06T21:07:53.221268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41.5
Mean length36.6
Min length23

Characters and Unicode

Total characters2196
Distinct characters183
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)90.0%

Sample

1st row서울특별시 영등포구 영등포로 109, 영등포유통상가 608호 (당산동2가)
2nd row서울특별시 서초구 효령로68길 102, 선민빌딩 2층 (서초동)
3rd row서울특별시 금천구 가산디지털2로 24, 7층 701호 (가산동)
4th row서울특별시 영등포구 경인로 775, 에이스하이테크시티 2동 1901호 (문래동3가)
5th row서울특별시 영등포구 영신로47길 14-1 (당산동1가)
ValueCountFrequency (%)
서울특별시 59
 
14.4%
금천구 18
 
4.4%
가산동 12
 
2.9%
영등포구 10
 
2.4%
강남구 8
 
2.0%
여의도동 7
 
1.7%
송파구 6
 
1.5%
가산디지털1로 6
 
1.5%
5층 6
 
1.5%
b동 4
 
1.0%
Other values (215) 274
66.8%
2024-04-06T21:07:53.938335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
350
 
15.9%
1 88
 
4.0%
동 80
 
3.6%
시 71
 
3.2%
서 70
 
3.2%
구 64
 
2.9%
로 62
 
2.8%
, 61
 
2.8%
울 60
 
2.7%
별 59
 
2.7%
Other values (173) 1231
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1282
58.4%
Decimal Number 367
 
16.7%
Space Separator 350
 
15.9%
Other Punctuation 61
 
2.8%
Close Punctuation 59
 
2.7%
Open Punctuation 59
 
2.7%
Uppercase Letter 12
 
0.5%
Dash Punctuation 5
 
0.2%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 80
 
6.2%
시 71
 
5.5%
서 70
 
5.5%
구 64
 
5.0%
로 62
 
4.8%
울 60
 
4.7%
별 59
 
4.6%
특 59
 
4.6%
호 38
 
3.0%
가 32
 
2.5%
Other values (151) 687
53.6%
Decimal Number
ValueCountFrequency (%)
1 88
24.0%
0 49
13.4%
2 40
10.9%
3 36
9.8%
4 32
 
8.7%
5 27
 
7.4%
6 27
 
7.4%
8 24
 
6.5%
7 23
 
6.3%
9 21
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 5
41.7%
I 3
25.0%
J 1
 
8.3%
S 1
 
8.3%
H 1
 
8.3%
N 1
 
8.3%
Space Separator
ValueCountFrequency (%)
350
100.0%
Other Punctuation
ValueCountFrequency (%)
, 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1282
58.4%
Common 901
41.0%
Latin 13
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 80
 
6.2%
시 71
 
5.5%
서 70
 
5.5%
구 64
 
5.0%
로 62
 
4.8%
울 60
 
4.7%
별 59
 
4.6%
특 59
 
4.6%
호 38
 
3.0%
가 32
 
2.5%
Other values (151) 687
53.6%
Common
ValueCountFrequency (%)
350
38.8%
1 88
 
9.8%
, 61
 
6.8%
) 59
 
6.5%
( 59
 
6.5%
0 49
 
5.4%
2 40
 
4.4%
3 36
 
4.0%
4 32
 
3.6%
5 27
 
3.0%
Other values (5) 100
 
11.1%
Latin
ValueCountFrequency (%)
B 5
38.5%
I 3
23.1%
J 1
 
7.7%
S 1
 
7.7%
H 1
 
7.7%
N 1
 
7.7%
Ⅲ 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1282
58.4%
ASCII 913
41.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
350
38.3%
1 88
 
9.6%
, 61
 
6.7%
) 59
 
6.5%
( 59
 
6.5%
0 49
 
5.4%
2 40
 
4.4%
3 36
 
3.9%
4 32
 
3.5%
5 27
 
3.0%
Other values (11) 112
 
12.3%
Hangul
ValueCountFrequency (%)
동 80
 
6.2%
시 71
 
5.5%
서 70
 
5.5%
구 64
 
5.0%
로 62
 
4.8%
울 60
 
4.7%
별 59
 
4.6%
특 59
 
4.6%
호 38
 
3.0%
가 32
 
2.5%
Other values (151) 687
53.6%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)78.0%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean7054.8475
Minimum1402
Maximum28180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T21:07:54.187368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1402
5-th percentile2645
Q15769
median7264
Q38552.5
95-th percentile8640.3
Maximum28180
Range26778
Interquartile range (IQR)2783.5

Descriptive statistics

Standard deviation3370.5571
Coefficient of variation (CV)0.47776471
Kurtosis26.775263
Mean7054.8475
Median Absolute Deviation (MAD)1327
Skewness4.1331286
Sum416236
Variance11360655
MonotonicityNot monotonic
2024-04-06T21:07:54.448780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
8591 4
 
6.5%
6158 3
 
4.8%
2645 2
 
3.2%
5854 2
 
3.2%
6349 2
 
3.2%
7333 2
 
3.2%
8504 2
 
3.2%
8632 2
 
3.2%
7328 2
 
3.2%
8592 2
 
3.2%
Other values (36) 36
58.1%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
1402 1
1.6%
2178 1
1.6%
2645 2
3.2%
3193 1
1.6%
4168 1
1.6%
4602 1
1.6%
4735 1
1.6%
4788 1
1.6%
4790 1
1.6%
5284 1
1.6%
ValueCountFrequency (%)
28180 1
 
1.6%
8745 1
 
1.6%
8652 1
 
1.6%
8639 1
 
1.6%
8632 2
3.2%
8592 2
3.2%
8591 4
6.5%
8590 1
 
1.6%
8588 1
 
1.6%
8584 1
 
1.6%

사업장명
Text

Distinct58
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-04-06T21:07:54.865961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length16
Mean length9.9677419
Min length2

Characters and Unicode

Total characters618
Distinct characters164
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)87.1%

Sample

1st row(주)토탈시스템
2nd row세진계량소
3rd row리사이클렛저 주식회사
4th row(주)비츠로시스
5th row한국전기차인프라기술(주)
ValueCountFrequency (%)
주식회사 16
 
18.2%
디에이치교역 2
 
2.3%
벰텍인터내셔널샹하이(유)한국지사 2
 
2.3%
주)씨엔에스글로벌 2
 
2.3%
에스알텍 2
 
2.3%
후로우디지탈 2
 
2.3%
hackers 1
 
1.1%
벤타코리아 1
 
1.1%
스케일센터 1
 
1.1%
몸날 1
 
1.1%
Other values (58) 58
65.9%
2024-04-06T21:07:55.524611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 37
 
6.0%
) 27
 
4.4%
사 27
 
4.4%
( 27
 
4.4%
26
 
4.2%
이 24
 
3.9%
스 21
 
3.4%
회 21
 
3.4%
식 18
 
2.9%
에 16
 
2.6%
Other values (154) 374
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 506
81.9%
Close Punctuation 27
 
4.4%
Open Punctuation 27
 
4.4%
Space Separator 26
 
4.2%
Uppercase Letter 21
 
3.4%
Lowercase Letter 8
 
1.3%
Other Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 37
 
7.3%
사 27
 
5.3%
이 24
 
4.7%
스 21
 
4.2%
회 21
 
4.2%
식 18
 
3.6%
에 16
 
3.2%
한 13
 
2.6%
아 12
 
2.4%
로 11
 
2.2%
Other values (130) 306
60.5%
Uppercase Letter
ValueCountFrequency (%)
E 3
14.3%
L 2
9.5%
H 2
9.5%
K 2
9.5%
T 2
9.5%
S 2
9.5%
P 1
 
4.8%
D 1
 
4.8%
I 1
 
4.8%
F 1
 
4.8%
Other values (4) 4
19.0%
Lowercase Letter
ValueCountFrequency (%)
a 2
25.0%
e 2
25.0%
r 1
12.5%
o 1
12.5%
l 1
12.5%
c 1
12.5%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 506
81.9%
Common 83
 
13.4%
Latin 29
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 37
 
7.3%
사 27
 
5.3%
이 24
 
4.7%
스 21
 
4.2%
회 21
 
4.2%
식 18
 
3.6%
에 16
 
3.2%
한 13
 
2.6%
아 12
 
2.4%
로 11
 
2.2%
Other values (130) 306
60.5%
Latin
ValueCountFrequency (%)
E 3
 
10.3%
L 2
 
6.9%
H 2
 
6.9%
K 2
 
6.9%
a 2
 
6.9%
T 2
 
6.9%
e 2
 
6.9%
S 2
 
6.9%
P 1
 
3.4%
D 1
 
3.4%
Other values (10) 10
34.5%
Common
ValueCountFrequency (%)
) 27
32.5%
( 27
32.5%
26
31.3%
. 3
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 506
81.9%
ASCII 112
 
18.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 37
 
7.3%
사 27
 
5.3%
이 24
 
4.7%
스 21
 
4.2%
회 21
 
4.2%
식 18
 
3.6%
에 16
 
3.2%
한 13
 
2.6%
아 12
 
2.4%
로 11
 
2.2%
Other values (130) 306
60.5%
ASCII
ValueCountFrequency (%)
) 27
24.1%
( 27
24.1%
26
23.2%
. 3
 
2.7%
E 3
 
2.7%
L 2
 
1.8%
H 2
 
1.8%
K 2
 
1.8%
a 2
 
1.8%
T 2
 
1.8%
Other values (14) 16
14.3%

최종수정일자
Date

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
Minimum2015-08-07 14:51:44
Maximum2024-03-08 15:20:12
2024-04-06T21:07:55.781927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:07:56.091390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
I
50 
U
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 50
80.6%
U 12
 
19.4%

Length

2024-04-06T21:07:56.343169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:56.520409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 50
80.6%
u 12
 
19.4%

데이터갱신일자
Categorical

Distinct23
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Memory size628.0 B
2021-09-24 00:22:48.0
30 
2018-08-31 23:59:59.0
9 
2022-11-02 00:01:00.0
 
2
2022-01-27 00:22:39.0
 
2
2022-12-01 00:08:00.0
 
1
Other values (18)
18 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique19 ?
Unique (%)30.6%

Sample

1st row2022-12-04 00:02:00.0
2nd row2022-12-06 00:02:00.0
3rd row2022-12-07 23:08:00.0
4th row2022-12-08 22:09:00.0
5th row2022-11-02 00:01:00.0

Common Values

ValueCountFrequency (%)
2021-09-24 00:22:48.0 30
48.4%
2018-08-31 23:59:59.0 9
 
14.5%
2022-11-02 00:01:00.0 2
 
3.2%
2022-01-27 00:22:39.0 2
 
3.2%
2022-12-01 00:08:00.0 1
 
1.6%
2022-12-07 23:08:00.0 1
 
1.6%
2022-12-08 22:09:00.0 1
 
1.6%
2023-12-01 22:02:00.0 1
 
1.6%
2023-12-02 23:00:00.0 1
 
1.6%
2023-11-30 23:08:00.0 1
 
1.6%
Other values (13) 13
21.0%

Length

2024-04-06T21:07:56.714091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-09-24 30
24.2%
00:22:48.0 30
24.2%
2018-08-31 9
 
7.3%
23:59:59.0 9
 
7.3%
23:08:00.0 3
 
2.4%
00:01:00.0 3
 
2.4%
00:02:00.0 2
 
1.6%
22:02:00.0 2
 
1.6%
2021-12-06 2
 
1.6%
00:22:39.0 2
 
1.6%
Other values (29) 32
25.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)83.6%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean198921.05
Minimum188850.99
Maximum240699.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T21:07:56.963024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188850.99
5-th percentile189450.61
Q1190694.88
median195568.01
Q3204827.02
95-th percentile212114.43
Maximum240699.06
Range51848.069
Interquartile range (IQR)14132.138

Descriptive statistics

Standard deviation9721.3376
Coefficient of variation (CV)0.048870332
Kurtosis3.9444139
Mean198921.05
Median Absolute Deviation (MAD)5810.1595
Skewness1.4575885
Sum12134184
Variance94504406
MonotonicityNot monotonic
2024-04-06T21:07:57.254273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204827.018681988 3
 
4.8%
193345.22196413 2
 
3.2%
188968.189711073 2
 
3.2%
189975.894746956 2
 
3.2%
193798.948251805 2
 
3.2%
208937.760652081 2
 
3.2%
205931.813126431 2
 
3.2%
210627.0 2
 
3.2%
190995.464735871 2
 
3.2%
212554.948733176 1
 
1.6%
Other values (41) 41
66.1%
ValueCountFrequency (%)
188850.985987555 1
1.6%
188968.189711073 2
3.2%
189450.60600488 1
1.6%
189651.615395913 1
1.6%
189797.251808445 1
1.6%
189827.526735208 1
1.6%
189943.546219232 1
1.6%
189975.894746956 2
3.2%
189991.650798406 1
1.6%
190050.903572929 1
1.6%
ValueCountFrequency (%)
240699.055297 1
1.6%
214816.40664467 1
1.6%
212554.948733176 1
1.6%
212114.433403978 1
1.6%
210627.0 2
3.2%
210535.089616 1
1.6%
209412.197809542 1
1.6%
209291.061509786 1
1.6%
209276.661384383 1
1.6%
208937.760652081 2
3.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)83.6%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean443309.63
Minimum341642.6
Maximum461407.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T21:07:57.512237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum341642.6
5-th percentile439055.76
Q1441990.82
median444195.36
Q3447600.7
95-th percentile451620.68
Maximum461407.32
Range119764.72
Interquartile range (IQR)5609.8789

Descriptive statistics

Standard deviation13935.197
Coefficient of variation (CV)0.031434455
Kurtosis49.107783
Mean443309.63
Median Absolute Deviation (MAD)2945.0886
Skewness-6.6206193
Sum27041887
Variance1.941897 × 108
MonotonicityNot monotonic
2024-04-06T21:07:57.790002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444966.44321062 3
 
4.8%
446531.983116649 2
 
3.2%
442119.780901928 2
 
3.2%
440742.223479611 2
 
3.2%
446579.652565611 2
 
3.2%
442873.588039887 2
 
3.2%
451042.369315593 2
 
3.2%
442875.0 2
 
3.2%
439055.761948177 2
 
3.2%
447960.333577834 1
 
1.6%
Other values (41) 41
66.1%
ValueCountFrequency (%)
341642.600157 1
1.6%
437663.852858361 1
1.6%
437914.06299827 1
1.6%
439055.761948177 2
3.2%
440523.497478209 1
1.6%
440695.614055984 1
1.6%
440742.223479611 2
3.2%
440764.426277932 1
1.6%
440823.4427446 1
1.6%
440972.741332881 1
1.6%
ValueCountFrequency (%)
461407.317150149 1
1.6%
455166.276308013 1
1.6%
451865.820147986 1
1.6%
451620.676579447 1
1.6%
451042.369315593 2
3.2%
449923.186585565 1
1.6%
449695.084129637 1
1.6%
449432.47756356 1
1.6%
449297.842329037 1
1.6%
449067.057941795 1
1.6%

사무소전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

사업장전화번호
Text

MISSING 

Distinct42
Distinct (%)93.3%
Missing17
Missing (%)27.4%
Memory size628.0 B
2024-04-06T21:07:58.161818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.266667
Min length7

Characters and Unicode

Total characters462
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

Unique39 ?
Unique (%)86.7%

Sample

1st row02 22745599
2nd row010 92208080
3rd row02 701 1775
4th row02 22979900
5th row02 62136216
ValueCountFrequency (%)
02 12
 
17.9%
010 4
 
6.0%
024880561 2
 
3.0%
18008936 2
 
3.0%
07048429630 2
 
3.0%
20406390 1
 
1.5%
027804101 1
 
1.5%
07077123341 1
 
1.5%
4026392 1
 
1.5%
71359733 1
 
1.5%
Other values (40) 40
59.7%
2024-04-06T21:07:58.801213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 99
21.4%
2 70
15.2%
1 43
9.3%
8 37
 
8.0%
9 37
 
8.0%
35
 
7.6%
6 32
 
6.9%
7 30
 
6.5%
4 29
 
6.3%
3 27
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 427
92.4%
Space Separator 35
 
7.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 99
23.2%
2 70
16.4%
1 43
10.1%
8 37
 
8.7%
9 37
 
8.7%
6 32
 
7.5%
7 30
 
7.0%
4 29
 
6.8%
3 27
 
6.3%
5 23
 
5.4%
Space Separator
ValueCountFrequency (%)
35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 462
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 99
21.4%
2 70
15.2%
1 43
9.3%
8 37
 
8.0%
9 37
 
8.0%
35
 
7.6%
6 32
 
6.9%
7 30
 
6.5%
4 29
 
6.3%
3 27
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 462
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 99
21.4%
2 70
15.2%
1 43
9.3%
8 37
 
8.0%
9 37
 
8.0%
35
 
7.6%
6 32
 
6.9%
7 30
 
6.5%
4 29
 
6.3%
3 27
 
5.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사무소전화번호사업장전화번호
0318000020213180239065000012021-05-20<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동2가 30-2 영등포유통상가 608호서울특별시 영등포구 영등포로 109, 영등포유통상가 608호 (당산동2가)7264(주)토탈시스템2023-03-31 07:49:18U2022-12-04 00:02:00.0<NA>190555.768992446698.814323<NA><NA>
1303000019913030074065000011991-09-12<NA>3폐업3폐업2023-05-30<NA><NA><NA>22968657<NA><NA>서울특별시 성동구 마장동 781번지 14호<NA><NA>세진계량소2023-05-31 10:06:14I2022-12-06 00:02:00.0<NA>203853.452706451620.676579<NA><NA>
2321000020233210195065000012023-08-16<NA>1영업/정상1영업중<NA><NA><NA><NA>02 522 2429<NA><NA>서울특별시 서초구 서초동 1443-27 선민빌딩서울특별시 서초구 효령로68길 102, 선민빌딩 2층 (서초동)6721리사이클렛저 주식회사2023-08-16 16:40:03I2022-12-07 23:08:00.0<NA>201646.596599442578.856434<NA><NA>
3317000020233170257065000042021-08-31<NA>1영업/정상1영업중<NA><NA><NA><NA>024602000<NA><NA>서울특별시 금천구 가산동 327-30서울특별시 금천구 가산디지털2로 24, 7층 701호 (가산동)8592(주)비츠로시스2023-09-27 15:36:31I2022-12-08 22:09:00.0<NA>189651.615396440972.741333<NA><NA>
4318000020223180239065000012022-07-06<NA>1영업/정상1영업중<NA><NA><NA><NA>18776546<NA><NA>서울특별시 영등포구 문래동3가 55-20 에이스하이테크시티 2동 1901호서울특별시 영등포구 경인로 775, 에이스하이테크시티 2동 1901호 (문래동3가)7299한국전기차인프라기술(주)2023-11-29 13:57:55I2022-11-02 00:01:00.0<NA>190996.357289445841.377603<NA><NA>
5318000020003180076065000021987-04-13<NA>1영업/정상1영업중<NA><NA><NA><NA>26755999<NA>150-041서울특별시 영등포구 당산동1가 220번지서울특별시 영등포구 영신로47길 14-1 (당산동1가)<NA>대흥정밀계기산업2023-11-29 13:36:42I2022-11-02 00:01:00.0<NA>191100.012108446779.994245<NA><NA>
6323000020233230291065000012023-03-15<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 송파대로 345, 411동 1402호 (가락동, 헬리오시티)5698스케일코리아(Scale Korea)2024-02-20 14:45:59U2023-12-01 22:02:00.0<NA>209412.19781443928.783342<NA><NA>
7317000020243170257065000062024-03-08<NA>1영업/정상1영업중<NA><NA><NA><NA>02 62650414<NA><NA>서울특별시 금천구 독산동 291-1 현대지식산업센터서울특별시 금천구 두산로 70, 현대지식산업센터 에이동 17층 1712호 (독산동)8584미래이에스피 주식회사2024-03-08 15:20:12I2023-12-02 23:00:00.0<NA>190694.880295440764.426278<NA><NA>
83000000201930002020650000120190107<NA>1영업/정상1영업중<NA><NA><NA><NA>02 22745599<NA><NA>서울특별시 종로구 장사동 182번지 13호서울특별시 종로구 종로26길 30, 1층 127호 (장사동)3193태창전기2021-07-07 11:08:12I2021-09-24 00:22:48.0<NA>199469.723216451865.820148<NA>02 22745599
9318000020123180163065000032015-03-30<NA>1영업/정상1영업중<NA><NA><NA><NA>023683370<NA><NA>서울특별시 영등포구 여의도동 35번지 6호서울특별시 영등포구 국제금융로6길 42 (여의도동)7328주식회사 삼천리이에스2024-01-16 18:03:13U2023-11-30 23:08:00.0<NA>193345.221964446531.983117<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사무소전화번호사업장전화번호
52611000020156110000940000220150128<NA>1영업/정상1등록<NA><NA><NA><NA><NA><NA><NA>충청북도 청주시 서원구 남이면 대련리 273번지 2호충청북도 청주시 서원구 남이면 청남로 1508-928180(주)엘인코2016-04-01 15:51:46I2018-08-31 23:59:59.0<NA>240699.055297341642.600157<NA>0432695941
53611000020156110000940000320150327<NA>1영업/정상1등록<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 995번지 18호서울특별시 금천구 시흥대로61길 31 (시흥동)8632후로우디지탈2016-04-28 16:28:03I2018-08-31 23:59:59.0<NA>190995.464736439055.761948<NA>028910181
54611000020166110000940000320160524<NA>1영업/정상1등록<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 43번지 507호서울특별시 영등포구 국제금융로 70, 미원빌딩동 507호 (여의도동)7333주식회사 크로네코리아2016-05-24 15:02:16I2018-08-31 23:59:59.0<NA>193798.948252446579.652566<NA>027821900
55611000020166110000940000420160822<NA>1영업/정상1등록<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 660번지 에이스하이엔드타워10 1608호서울특별시 금천구 가산디지털1로 30, 16층 1608호 (가산동,에이스하이엔드타워10)8591에스알텍2016-08-22 17:47:13I2018-08-31 23:59:59.0<NA>189975.894747440742.22348<NA>0262686001
56611000020176110000940000120170208<NA>1영업/정상1등록<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 35번지 6호서울특별시 영등포구 국제금융로6길 42 (여의도동)7328(주)삼천리이에스2017-02-09 17:07:21I2018-08-31 23:59:59.0<NA>193345.221964446531.983117<NA>023683487
57611000020156110000940000420150312<NA>1영업/정상1등록<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 465번지 6호 일광빌딩 B동 502호서울특별시 동대문구 장한로2길 52, B동 5층 502호 (장안동,일광빌딩)2645디에이치교역 주식회사2016-07-13 09:45:49I2018-08-31 23:59:59.0<NA>205931.813126451042.369316<NA>024880561
583170000202231702350650000420220517<NA>1영업/정상1영업중<NA><NA><NA><NA>02 868 6245<NA><NA><NA>서울특별시 금천구 시흥대로 97, 시흥유통상가 31동 333호 (시흥동)8639엔에이치테크(NH테크)2022-05-25 09:00:53U2021-12-04 22:07:00.0<NA>191226.287379437914.062998<NA><NA>
593170000202231702350650000220220207<NA>1영업/정상1영업중<NA><NA><NA><NA>02 521 6036<NA><NA>서울특별시 금천구 가산동 554-2서울특별시 금천구 가산디지털2로 43-14, 가산한화비즈메트로2차 1031호 (가산동)8588운남2022-05-30 17:39:43U2021-12-06 00:01:00.0<NA>189450.606005441142.645065<NA><NA>
603170000202231702350650000720220718<NA>1영업/정상1영업중<NA><NA><NA><NA>070 75432731<NA><NA><NA>서울특별시 금천구 디지털로9길 46, 이앤씨드림타워7차 602호 (가산동)8512한국씨씨피주식회사2022-07-19 11:09:55I2021-12-06 22:01:00.0<NA>189943.546219441990.817437<NA><NA>
61323000020163230231065000022015-01-28<NA>3폐업3폐업2023-10-13<NA><NA><NA>02 34325941<NA><NA><NA>서울특별시 송파구 석촌호수로 268, 211호 (송파동, 경남레이크파크)5623(주)실버에이드2023-10-16 17:29:42U2022-10-30 23:08:00.0<NA>209276.661384445281.6456<NA><NA>