Overview

Dataset statistics

Number of variables29
Number of observations118
Missing cells1221
Missing cells (%)35.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.1 KiB
Average record size in memory252.1 B

Variable types

Categorical6
Numeric9
DateTime3
Unsupported7
Text4

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),자산규모,부채총액,자본금,판매방식명
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-18788/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 118 (100.0%) missing valuesMissing
폐업일자 has 27 (22.9%) missing valuesMissing
휴업시작일자 has 118 (100.0%) missing valuesMissing
휴업종료일자 has 118 (100.0%) missing valuesMissing
재개업일자 has 118 (100.0%) missing valuesMissing
전화번호 has 27 (22.9%) missing valuesMissing
소재지면적 has 118 (100.0%) missing valuesMissing
소재지우편번호 has 60 (50.8%) missing valuesMissing
도로명우편번호 has 43 (36.4%) missing valuesMissing
업태구분명 has 118 (100.0%) missing valuesMissing
자산규모 has 79 (66.9%) missing valuesMissing
부채총액 has 79 (66.9%) missing valuesMissing
자본금 has 79 (66.9%) missing valuesMissing
판매방식명 has 118 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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
판매방식명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자산규모 has 11 (9.3%) zerosZeros
부채총액 has 28 (23.7%) zerosZeros
자본금 has 8 (6.8%) zerosZeros

Reproduction

Analysis started2024-05-11 05:30:04.474679
Analysis finished2024-05-11 05:30:05.134960
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3110000
118 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 118
100.0%

Length

2024-05-11T14:30:05.245497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:05.373436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 118
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct118
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0144551 × 1018
Minimum2.005311 × 1018
Maximum2.024311 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T14:30:05.517873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.005311 × 1018
5-th percentile2.006311 × 1018
Q12.009561 × 1018
median2.015311 × 1018
Q32.019311 × 1018
95-th percentile2.023311 × 1018
Maximum2.024311 × 1018
Range1.9000011 × 1016
Interquartile range (IQR)9.7500086 × 1015

Descriptive statistics

Standard deviation5.5196274 × 1015
Coefficient of variation (CV)0.0027400102
Kurtosis-1.2788794
Mean2.0144551 × 1018
Median Absolute Deviation (MAD)5 × 1015
Skewness0.048705943
Sum-2.1019732 × 1018
Variance3.0466286 × 1031
MonotonicityStrictly increasing
2024-05-11T14:30:05.823978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2005311011124200024 1
 
0.8%
2017311013124200005 1
 
0.8%
2019311021724200006 1
 
0.8%
2019311021724200005 1
 
0.8%
2019311021724200004 1
 
0.8%
2019311021724200003 1
 
0.8%
2019311021724200002 1
 
0.8%
2018311013124200004 1
 
0.8%
2018311013124200003 1
 
0.8%
2018311013124200002 1
 
0.8%
Other values (108) 108
91.5%
ValueCountFrequency (%)
2005311011124200024 1
0.8%
2006311011124200002 1
0.8%
2006311011124200003 1
0.8%
2006311011124200004 1
0.8%
2006311011124200006 1
0.8%
2006311011124200007 1
0.8%
2006311011124200008 1
0.8%
2006311011124200009 1
0.8%
2006311011124200011 1
0.8%
2007311011124200002 1
0.8%
ValueCountFrequency (%)
2024311021724200003 1
0.8%
2024311021724200002 1
0.8%
2024311021724200001 1
0.8%
2023311021724200005 1
0.8%
2023311021724200004 1
0.8%
2023311021724200003 1
0.8%
2023311021724200002 1
0.8%
2023311021724200001 1
0.8%
2022311021724200004 1
0.8%
2022311021724200003 1
0.8%

인허가일자
Date

UNIQUE 

Distinct118
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2005-05-13 00:00:00
Maximum2024-04-03 00:00:00
2024-05-11T14:30:06.120443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:30:06.437838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing118
Missing (%)100.0%
Memory size1.2 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3
53 
4
38 
1
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 53
44.9%
4 38
32.2%
1 27
22.9%

Length

2024-05-11T14:30:06.676404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:06.799716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 53
44.9%
4 38
32.2%
1 27
22.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐업
53 
취소/말소/만료/정지/중지
38 
영업/정상
27 

Length

Max length14
Median length5
Mean length6.5508475
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 53
44.9%
취소/말소/만료/정지/중지 38
32.2%
영업/정상 27
22.9%

Length

2024-05-11T14:30:06.937329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:07.076163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 53
44.9%
취소/말소/만료/정지/중지 38
32.2%
영업/정상 27
22.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3
53 
7
38 
1
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row7
3rd row7
4th row7
5th row7

Common Values

ValueCountFrequency (%)
3 53
44.9%
7 38
32.2%
1 27
22.9%

Length

2024-05-11T14:30:07.256477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:07.468032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 53
44.9%
7 38
32.2%
1 27
22.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐업처리
53 
직권말소
38 
정상영업
27 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업처리
2nd row직권말소
3rd row직권말소
4th row직권말소
5th row직권말소

Common Values

ValueCountFrequency (%)
폐업처리 53
44.9%
직권말소 38
32.2%
정상영업 27
22.9%

Length

2024-05-11T14:30:07.679426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:07.860888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 53
44.9%
직권말소 38
32.2%
정상영업 27
22.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)69.2%
Missing27
Missing (%)22.9%
Infinite0
Infinite (%)0.0%
Mean20151462
Minimum20070814
Maximum20221129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T14:30:08.068557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070814
5-th percentile20080711
Q120120773
median20150416
Q320190622
95-th percentile20211180
Maximum20221129
Range150315
Interquartile range (IQR)69849

Descriptive statistics

Standard deviation44067.911
Coefficient of variation (CV)0.0021868345
Kurtosis-1.0346548
Mean20151462
Median Absolute Deviation (MAD)39712
Skewness-0.27566306
Sum1.833783 × 109
Variance1.9419808 × 109
MonotonicityNot monotonic
2024-05-11T14:30:08.388354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150416 13
 
11.0%
20160405 5
 
4.2%
20200702 4
 
3.4%
20080912 3
 
2.5%
20080711 3
 
2.5%
20190128 2
 
1.7%
20090309 2
 
1.7%
20201224 2
 
1.7%
20211101 2
 
1.7%
20171201 2
 
1.7%
Other values (53) 53
44.9%
(Missing) 27
22.9%
ValueCountFrequency (%)
20070814 1
 
0.8%
20071109 1
 
0.8%
20080522 1
 
0.8%
20080623 1
 
0.8%
20080711 3
2.5%
20080912 3
2.5%
20081030 1
 
0.8%
20081031 1
 
0.8%
20090309 2
1.7%
20090312 1
 
0.8%
ValueCountFrequency (%)
20221129 1
0.8%
20221123 1
0.8%
20220830 1
0.8%
20220624 1
0.8%
20211231 1
0.8%
20211130 1
0.8%
20211101 2
1.7%
20210203 1
0.8%
20201224 2
1.7%
20201019 1
0.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing118
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing118
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing118
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Text

MISSING 

Distinct87
Distinct (%)95.6%
Missing27
Missing (%)22.9%
Memory size1.1 KiB
2024-05-11T14:30:08.935949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.098901
Min length8

Characters and Unicode

Total characters1010
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

Unique84 ?
Unique (%)92.3%

Sample

1st row02-389-6707
2nd row02-2252-3177
3rd row02-387-0342
4th row02-386-0017
5th row02-356-4627
ValueCountFrequency (%)
02 10
 
8.3%
070 4
 
3.3%
1644-1761 3
 
2.5%
1600-1570 2
 
1.7%
6274 2
 
1.7%
02-389-9879 2
 
1.7%
7974 1
 
0.8%
02-356-5871 1
 
0.8%
02-354-3000 1
 
0.8%
070-4671-9439 1
 
0.8%
Other values (93) 93
77.5%
2024-05-11T14:30:09.623613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 166
16.4%
- 136
13.5%
2 125
12.4%
3 92
9.1%
7 84
8.3%
1 74
7.3%
5 71
7.0%
6 64
 
6.3%
4 59
 
5.8%
8 59
 
5.8%
Other values (2) 80
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 845
83.7%
Dash Punctuation 136
 
13.5%
Space Separator 29
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 166
19.6%
2 125
14.8%
3 92
10.9%
7 84
9.9%
1 74
8.8%
5 71
8.4%
6 64
 
7.6%
4 59
 
7.0%
8 59
 
7.0%
9 51
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1010
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 166
16.4%
- 136
13.5%
2 125
12.4%
3 92
9.1%
7 84
8.3%
1 74
7.3%
5 71
7.0%
6 64
 
6.3%
4 59
 
5.8%
8 59
 
5.8%
Other values (2) 80
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1010
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 166
16.4%
- 136
13.5%
2 125
12.4%
3 92
9.1%
7 84
8.3%
1 74
7.3%
5 71
7.0%
6 64
 
6.3%
4 59
 
5.8%
8 59
 
5.8%
Other values (2) 80
7.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing118
Missing (%)100.0%
Memory size1.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)62.1%
Missing60
Missing (%)50.8%
Infinite0
Infinite (%)0.0%
Mean122476.66
Minimum121883
Maximum122941
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T14:30:09.883043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121883
5-th percentile122010
Q1122050
median122739
Q3122891.75
95-th percentile122935
Maximum122941
Range1058
Interquartile range (IQR)841.75

Descriptive statistics

Standard deviation414.98394
Coefficient of variation (CV)0.0033882697
Kurtosis-1.9806542
Mean122476.66
Median Absolute Deviation (MAD)196
Skewness-0.11714387
Sum7103646
Variance172211.67
MonotonicityNot monotonic
2024-05-11T14:30:10.141546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
122010 6
 
5.1%
122080 5
 
4.2%
122935 4
 
3.4%
122050 4
 
3.4%
122030 3
 
2.5%
122070 3
 
2.5%
122739 2
 
1.7%
122900 2
 
1.7%
122907 2
 
1.7%
122910 1
 
0.8%
Other values (26) 26
22.0%
(Missing) 60
50.8%
ValueCountFrequency (%)
121883 1
 
0.8%
122010 6
5.1%
122011 1
 
0.8%
122020 1
 
0.8%
122030 3
2.5%
122043 1
 
0.8%
122050 4
3.4%
122060 1
 
0.8%
122070 3
2.5%
122080 5
4.2%
ValueCountFrequency (%)
122941 1
 
0.8%
122935 4
3.4%
122910 1
 
0.8%
122908 1
 
0.8%
122907 2
1.7%
122906 1
 
0.8%
122905 1
 
0.8%
122900 2
1.7%
122896 1
 
0.8%
122895 1
 
0.8%

지번주소
Text

Distinct99
Distinct (%)84.6%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2024-05-11T14:30:10.526558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length26.495726
Min length17

Characters and Unicode

Total characters3100
Distinct characters124
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)75.2%

Sample

1st row서울특별시 마포구 합정동 ***번지 **호 삼성빌딩 *층
2nd row서울특별시 은평구 신사동 ***번지
3rd row서울특별시 은평구 갈현동 ***번지 *호
4th row서울특별시 은평구 갈현동 ***번지 *호
5th row서울특별시 은평구 대조동 ***번지 **호
ValueCountFrequency (%)
서울특별시 117
17.3%
호 116
17.2%
은평구 116
17.2%
번지 96
14.2%
층 28
 
4.1%
응암동 26
 
3.8%
23
 
3.4%
갈현동 18
 
2.7%
대조동 14
 
2.1%
역촌동 11
 
1.6%
Other values (58) 111
16.4%
2024-05-11T14:30:11.235784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 627
20.2%
563
18.2%
구 128
 
4.1%
동 127
 
4.1%
은 125
 
4.0%
평 124
 
4.0%
서 119
 
3.8%
시 118
 
3.8%
특 117
 
3.8%
별 117
 
3.8%
Other values (114) 935
30.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1875
60.5%
Other Punctuation 629
 
20.3%
Space Separator 563
 
18.2%
Dash Punctuation 22
 
0.7%
Uppercase Letter 7
 
0.2%
Decimal Number 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 128
 
6.8%
동 127
 
6.8%
은 125
 
6.7%
평 124
 
6.6%
서 119
 
6.3%
시 118
 
6.3%
특 117
 
6.2%
별 117
 
6.2%
울 117
 
6.2%
호 116
 
6.2%
Other values (104) 667
35.6%
Uppercase Letter
ValueCountFrequency (%)
T 3
42.9%
K 3
42.9%
B 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
4 2
50.0%
0 1
25.0%
1 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 627
99.7%
@ 2
 
0.3%
Space Separator
ValueCountFrequency (%)
563
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1875
60.5%
Common 1218
39.3%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 128
 
6.8%
동 127
 
6.8%
은 125
 
6.7%
평 124
 
6.6%
서 119
 
6.3%
시 118
 
6.3%
특 117
 
6.2%
별 117
 
6.2%
울 117
 
6.2%
호 116
 
6.2%
Other values (104) 667
35.6%
Common
ValueCountFrequency (%)
* 627
51.5%
563
46.2%
- 22
 
1.8%
4 2
 
0.2%
@ 2
 
0.2%
0 1
 
0.1%
1 1
 
0.1%
Latin
ValueCountFrequency (%)
T 3
42.9%
K 3
42.9%
B 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1875
60.5%
ASCII 1225
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 627
51.2%
563
46.0%
- 22
 
1.8%
T 3
 
0.2%
K 3
 
0.2%
4 2
 
0.2%
@ 2
 
0.2%
0 1
 
0.1%
1 1
 
0.1%
B 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 128
 
6.8%
동 127
 
6.8%
은 125
 
6.7%
평 124
 
6.6%
서 119
 
6.3%
시 118
 
6.3%
특 117
 
6.2%
별 117
 
6.2%
울 117
 
6.2%
호 116
 
6.2%
Other values (104) 667
35.6%

도로명주소
Text

Distinct109
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T14:30:11.707465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length32.635593
Min length22

Characters and Unicode

Total characters3851
Distinct characters154
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

Unique102 ?
Unique (%)86.4%

Sample

1st row서울특별시 마포구 독막로*길 * (합정동,삼성빌딩 *층)
2nd row서울특별시 은평구 갈현로*길 ** (신사동)
3rd row서울특별시 은평구 연서로**길 **-* (갈현동)
4th row서울특별시 은평구 연서로 *** (갈현동)
5th row서울특별시 은평구 통일로 *** (대조동)
ValueCountFrequency (%)
119
15.9%
서울특별시 118
15.7%
은평구 117
15.6%
층 51
 
6.8%
호 47
 
6.3%
응암동 17
 
2.3%
갈현동 16
 
2.1%
역촌동 12
 
1.6%
통일로**길 12
 
1.6%
대조동 10
 
1.3%
Other values (111) 231
30.8%
2024-05-11T14:30:12.438731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 656
17.0%
633
16.4%
은 147
 
3.8%
평 145
 
3.8%
서 140
 
3.6%
동 135
 
3.5%
, 130
 
3.4%
구 129
 
3.3%
시 119
 
3.1%
로 119
 
3.1%
Other values (144) 1498
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2140
55.6%
Other Punctuation 788
 
20.5%
Space Separator 633
 
16.4%
Close Punctuation 118
 
3.1%
Open Punctuation 118
 
3.1%
Dash Punctuation 38
 
1.0%
Uppercase Letter 9
 
0.2%
Decimal Number 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
은 147
 
6.9%
평 145
 
6.8%
서 140
 
6.5%
동 135
 
6.3%
구 129
 
6.0%
시 119
 
5.6%
로 119
 
5.6%
별 118
 
5.5%
울 118
 
5.5%
특 118
 
5.5%
Other values (128) 852
39.8%
Uppercase Letter
ValueCountFrequency (%)
K 3
33.3%
T 3
33.3%
L 1
 
11.1%
G 1
 
11.1%
B 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
2 2
28.6%
0 1
 
14.3%
4 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
* 656
83.2%
, 130
 
16.5%
@ 2
 
0.3%
Space Separator
ValueCountFrequency (%)
633
100.0%
Close Punctuation
ValueCountFrequency (%)
) 118
100.0%
Open Punctuation
ValueCountFrequency (%)
( 118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2140
55.6%
Common 1702
44.2%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
은 147
 
6.9%
평 145
 
6.8%
서 140
 
6.5%
동 135
 
6.3%
구 129
 
6.0%
시 119
 
5.6%
로 119
 
5.6%
별 118
 
5.5%
울 118
 
5.5%
특 118
 
5.5%
Other values (128) 852
39.8%
Common
ValueCountFrequency (%)
* 656
38.5%
633
37.2%
, 130
 
7.6%
) 118
 
6.9%
( 118
 
6.9%
- 38
 
2.2%
1 3
 
0.2%
2 2
 
0.1%
@ 2
 
0.1%
0 1
 
0.1%
Latin
ValueCountFrequency (%)
K 3
33.3%
T 3
33.3%
L 1
 
11.1%
G 1
 
11.1%
B 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2140
55.6%
ASCII 1711
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 656
38.3%
633
37.0%
, 130
 
7.6%
) 118
 
6.9%
( 118
 
6.9%
- 38
 
2.2%
1 3
 
0.2%
K 3
 
0.2%
T 3
 
0.2%
2 2
 
0.1%
Other values (6) 7
 
0.4%
Hangul
ValueCountFrequency (%)
은 147
 
6.9%
평 145
 
6.8%
서 140
 
6.5%
동 135
 
6.3%
구 129
 
6.0%
시 119
 
5.6%
로 119
 
5.6%
별 118
 
5.5%
울 118
 
5.5%
특 118
 
5.5%
Other values (128) 852
39.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)66.7%
Missing43
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean28857.333
Minimum3302
Maximum122935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T14:30:12.689520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3302
5-th percentile3328
Q13383.5
median3429
Q33484
95-th percentile122905.6
Maximum122935
Range119633
Interquartile range (IQR)100.5

Descriptive statistics

Standard deviation49209.136
Coefficient of variation (CV)1.7052558
Kurtosis0.040411752
Mean28857.333
Median Absolute Deviation (MAD)55
Skewness1.4282843
Sum2164300
Variance2.421539 × 109
MonotonicityNot monotonic
2024-05-11T14:30:12.939230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3429 4
 
3.4%
3391 4
 
3.4%
3454 4
 
3.4%
3484 4
 
3.4%
122935 3
 
2.5%
3458 3
 
2.5%
122882 2
 
1.7%
3385 2
 
1.7%
3345 2
 
1.7%
3412 2
 
1.7%
Other values (40) 45
38.1%
(Missing) 43
36.4%
ValueCountFrequency (%)
3302 1
0.8%
3311 1
0.8%
3318 1
0.8%
3328 2
1.7%
3331 1
0.8%
3332 1
0.8%
3333 1
0.8%
3334 1
0.8%
3335 1
0.8%
3336 1
0.8%
ValueCountFrequency (%)
122935 3
2.5%
122907 1
 
0.8%
122905 1
 
0.8%
122900 1
 
0.8%
122896 1
 
0.8%
122882 2
1.7%
122810 1
 
0.8%
122762 1
 
0.8%
122758 1
 
0.8%
122739 1
 
0.8%

사업장명
Text

Distinct115
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T14:30:13.460960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length13
Mean length7.3983051
Min length2

Characters and Unicode

Total characters873
Distinct characters228
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

Unique112 ?
Unique (%)94.9%

Sample

1st row(주)다다정보통신
2nd rowCS커뮤니티
3rd row오클린
4th row(주)강북가로수 은평지점
5th row아인스
ValueCountFrequency (%)
주식회사 14
 
8.8%
대부중개 3
 
1.9%
컴퍼니 2
 
1.3%
피플 2
 
1.3%
네트웍스 2
 
1.3%
동그라미국제결혼정보 2
 
1.3%
주 2
 
1.3%
월드넷 2
 
1.3%
주)케이에스지엠 2
 
1.3%
비즈넷 1
 
0.6%
Other values (127) 127
79.9%
2024-05-11T14:30:14.214299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
4.8%
주 36
 
4.1%
이 33
 
3.8%
스 27
 
3.1%
) 24
 
2.7%
( 24
 
2.7%
신 19
 
2.2%
통 16
 
1.8%
대 16
 
1.8%
보 16
 
1.8%
Other values (218) 620
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 733
84.0%
Space Separator 42
 
4.8%
Uppercase Letter 29
 
3.3%
Close Punctuation 24
 
2.7%
Open Punctuation 24
 
2.7%
Lowercase Letter 13
 
1.5%
Other Punctuation 4
 
0.5%
Decimal Number 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 36
 
4.9%
이 33
 
4.5%
스 27
 
3.7%
신 19
 
2.6%
통 16
 
2.2%
대 16
 
2.2%
보 16
 
2.2%
회 15
 
2.0%
식 15
 
2.0%
정 15
 
2.0%
Other values (182) 525
71.6%
Uppercase Letter
ValueCountFrequency (%)
S 4
13.8%
M 4
13.8%
H 2
 
6.9%
K 2
 
6.9%
I 2
 
6.9%
A 2
 
6.9%
J 2
 
6.9%
C 2
 
6.9%
T 1
 
3.4%
B 1
 
3.4%
Other values (7) 7
24.1%
Lowercase Letter
ValueCountFrequency (%)
t 2
15.4%
o 2
15.4%
n 2
15.4%
i 1
7.7%
l 1
7.7%
u 1
7.7%
s 1
7.7%
g 1
7.7%
c 1
7.7%
d 1
7.7%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
. 1
25.0%
, 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
7 1
25.0%
4 1
25.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 733
84.0%
Common 98
 
11.2%
Latin 42
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 36
 
4.9%
이 33
 
4.5%
스 27
 
3.7%
신 19
 
2.6%
통 16
 
2.2%
대 16
 
2.2%
보 16
 
2.2%
회 15
 
2.0%
식 15
 
2.0%
정 15
 
2.0%
Other values (182) 525
71.6%
Latin
ValueCountFrequency (%)
S 4
 
9.5%
M 4
 
9.5%
t 2
 
4.8%
H 2
 
4.8%
o 2
 
4.8%
K 2
 
4.8%
I 2
 
4.8%
A 2
 
4.8%
n 2
 
4.8%
J 2
 
4.8%
Other values (17) 18
42.9%
Common
ValueCountFrequency (%)
42
42.9%
) 24
24.5%
( 24
24.5%
& 2
 
2.0%
1 2
 
2.0%
. 1
 
1.0%
, 1
 
1.0%
7 1
 
1.0%
4 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 733
84.0%
ASCII 140
 
16.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
30.0%
) 24
17.1%
( 24
17.1%
S 4
 
2.9%
M 4
 
2.9%
t 2
 
1.4%
H 2
 
1.4%
o 2
 
1.4%
K 2
 
1.4%
I 2
 
1.4%
Other values (26) 32
22.9%
Hangul
ValueCountFrequency (%)
주 36
 
4.9%
이 33
 
4.5%
스 27
 
3.7%
신 19
 
2.6%
통 16
 
2.2%
대 16
 
2.2%
보 16
 
2.2%
회 15
 
2.0%
식 15
 
2.0%
정 15
 
2.0%
Other values (182) 525
71.6%

최종수정일자
Date

UNIQUE 

Distinct118
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2007-11-12 14:58:15
Maximum2024-04-04 16:45:49
2024-05-11T14:30:14.611725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:30:14.886451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
88 
U
30 

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 88
74.6%
U 30
 
25.4%

Length

2024-05-11T14:30:15.121698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:15.281296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 88
74.6%
u 30
 
25.4%

데이터갱신일자
Date

Distinct45
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-05-11T14:30:15.456366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:30:16.047710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing118
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

Distinct100
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192736.03
Minimum191188.87
Maximum194140.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T14:30:16.281978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191188.87
5-th percentile191636.24
Q1192385.51
median192775.71
Q3193113.1
95-th percentile193637.82
Maximum194140.42
Range2951.5511
Interquartile range (IQR)727.59769

Descriptive statistics

Standard deviation597.91174
Coefficient of variation (CV)0.0031022313
Kurtosis0.0098011801
Mean192736.03
Median Absolute Deviation (MAD)382.12245
Skewness-0.36538136
Sum22742851
Variance357498.45
MonotonicityNot monotonic
2024-05-11T14:30:16.506092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192385.505701225 4
 
3.4%
193394.38138013 4
 
3.4%
192069.689255643 3
 
2.5%
192164.137774013 3
 
2.5%
192728.085842162 2
 
1.7%
192971.391876187 2
 
1.7%
192515.896317789 2
 
1.7%
193871.156790779 2
 
1.7%
192707.089702779 2
 
1.7%
193021.578536628 2
 
1.7%
Other values (90) 92
78.0%
ValueCountFrequency (%)
191188.866535719 1
0.8%
191223.226624594 1
0.8%
191305.548067061 1
0.8%
191361.609135217 1
0.8%
191571.937533281 1
0.8%
191590.148358222 1
0.8%
191644.368522458 1
0.8%
191723.212293404 1
0.8%
191859.619257882 1
0.8%
191874.923701352 1
0.8%
ValueCountFrequency (%)
194140.417600777 1
0.8%
193871.156790779 2
1.7%
193800.586707989 1
0.8%
193669.939993455 1
0.8%
193654.378125665 1
0.8%
193634.896598893 1
0.8%
193590.756369942 1
0.8%
193537.151289241 1
0.8%
193530.011439052 2
1.7%
193466.528231765 1
0.8%

좌표정보(Y)
Real number (ℝ)

Distinct100
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455980.84
Minimum449478.85
Maximum460290.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T14:30:16.749343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449478.85
5-th percentile453603.4
Q1455216.11
median455901.21
Q3457042.88
95-th percentile458069.74
Maximum460290.22
Range10811.367
Interquartile range (IQR)1826.7648

Descriptive statistics

Standard deviation1591.8386
Coefficient of variation (CV)0.0034910209
Kurtosis1.83434
Mean455980.84
Median Absolute Deviation (MAD)873.77446
Skewness-0.30314845
Sum53805739
Variance2533950.2
MonotonicityNot monotonic
2024-05-11T14:30:17.062985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454079.80702161 4
 
3.4%
456765.338643124 4
 
3.4%
456481.794657666 3
 
2.5%
453819.021406403 3
 
2.5%
457118.575913036 2
 
1.7%
455232.802308033 2
 
1.7%
456528.476331771 2
 
1.7%
455327.421333397 2
 
1.7%
457917.363178268 2
 
1.7%
455664.695442579 2
 
1.7%
Other values (90) 92
78.0%
ValueCountFrequency (%)
449478.849222576 1
 
0.8%
453041.98829029 1
 
0.8%
453134.829498783 1
 
0.8%
453162.844280292 1
 
0.8%
453289.803633766 1
 
0.8%
453539.747718297 1
 
0.8%
453614.634817794 1
 
0.8%
453794.972931793 1
 
0.8%
453806.289758423 1
 
0.8%
453819.021406403 3
2.5%
ValueCountFrequency (%)
460290.216473109 1
0.8%
459903.972312 1
0.8%
459665.856169744 1
0.8%
459156.947874 1
0.8%
459136.547595152 1
0.8%
458485.948504233 1
0.8%
457996.29199896 1
0.8%
457927.615377332 1
0.8%
457917.363178268 2
1.7%
457907.639436926 2
1.7%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)51.3%
Missing79
Missing (%)66.9%
Infinite0
Infinite (%)0.0%
Mean1.7523321 × 108
Minimum0
Maximum2.9353729 × 109
Zeros11
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T14:30:17.279949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20000000
Q31.50725 × 108
95-th percentile4.5940495 × 108
Maximum2.9353729 × 109
Range2.9353729 × 109
Interquartile range (IQR)1.50725 × 108

Descriptive statistics

Standard deviation4.8088529 × 108
Coefficient of variation (CV)2.7442588
Kurtosis30.249008
Mean1.7523321 × 108
Median Absolute Deviation (MAD)20000000
Skewness5.2591632
Sum6.8340953 × 109
Variance2.3125067 × 1017
MonotonicityNot monotonic
2024-05-11T14:30:17.443476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 11
 
9.3%
10000000 5
 
4.2%
50000000 3
 
2.5%
100000000 2
 
1.7%
20000000 2
 
1.7%
419660760 2
 
1.7%
665183692 1
 
0.8%
12000000 1
 
0.8%
5000000 1
 
0.8%
151450000 1
 
0.8%
Other values (10) 10
 
8.5%
(Missing) 79
66.9%
ValueCountFrequency (%)
0 11
9.3%
5000000 1
 
0.8%
10000000 5
4.2%
12000000 1
 
0.8%
15000000 1
 
0.8%
20000000 2
 
1.7%
25000000 1
 
0.8%
50000000 3
 
2.5%
74727700 1
 
0.8%
100000000 2
 
1.7%
ValueCountFrequency (%)
2935372931 1
0.8%
665183692 1
0.8%
436540650 1
0.8%
419660760 2
1.7%
326824652 1
0.8%
290000000 1
0.8%
267674183 1
0.8%
200000000 1
0.8%
151450000 1
0.8%
150000000 1
0.8%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)28.2%
Missing79
Missing (%)66.9%
Infinite0
Infinite (%)0.0%
Mean68168443
Minimum0
Maximum5.9696523 × 108
Zeros28
Zeros (%)23.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T14:30:17.611635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33225000
95-th percentile3.8431831 × 108
Maximum5.9696523 × 108
Range5.9696523 × 108
Interquartile range (IQR)3225000

Descriptive statistics

Standard deviation1.497743 × 108
Coefficient of variation (CV)2.1971207
Kurtosis4.5333967
Mean68168443
Median Absolute Deviation (MAD)0
Skewness2.2692825
Sum2.6585693 × 109
Variance2.243234 × 1016
MonotonicityNot monotonic
2024-05-11T14:30:17.787723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 28
 
23.7%
240812020 2
 
1.7%
497411884 1
 
0.8%
140000000 1
 
0.8%
267674183 1
 
0.8%
6213430 1
 
0.8%
290478139 1
 
0.8%
596965227 1
 
0.8%
371752356 1
 
0.8%
1450000 1
 
0.8%
(Missing) 79
66.9%
ValueCountFrequency (%)
0 28
23.7%
1450000 1
 
0.8%
5000000 1
 
0.8%
6213430 1
 
0.8%
140000000 1
 
0.8%
240812020 2
 
1.7%
267674183 1
 
0.8%
290478139 1
 
0.8%
371752356 1
 
0.8%
497411884 1
 
0.8%
ValueCountFrequency (%)
596965227 1
0.8%
497411884 1
0.8%
371752356 1
0.8%
290478139 1
0.8%
267674183 1
0.8%
240812020 2
1.7%
140000000 1
0.8%
6213430 1
0.8%
5000000 1
0.8%
1450000 1
0.8%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)43.6%
Missing79
Missing (%)66.9%
Infinite0
Infinite (%)0.0%
Mean3.9487241 × 109
Minimum0
Maximum1.5 × 1011
Zeros8
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T14:30:17.992563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17500000
median20000000
Q372394147
95-th percentile3.9480464 × 108
Maximum1.5 × 1011
Range1.5 × 1011
Interquartile range (IQR)64894147

Descriptive statistics

Standard deviation2.4005235 × 1010
Coefficient of variation (CV)6.0792384
Kurtosis38.979834
Mean3.9487241 × 109
Median Absolute Deviation (MAD)20000000
Skewness6.2426604
Sum1.5400024 × 1011
Variance5.7625133 × 1020
MonotonicityNot monotonic
2024-05-11T14:30:18.246038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 8
 
6.8%
10000000 7
 
5.9%
50000000 5
 
4.2%
20000000 3
 
2.5%
150000000 2
 
1.7%
100000000 2
 
1.7%
178848740 2
 
1.7%
167771808 1
 
0.8%
150000000000 1
 
0.8%
60000000 1
 
0.8%
Other values (7) 7
 
5.9%
(Missing) 79
66.9%
ValueCountFrequency (%)
0 8
6.8%
1000000 1
 
0.8%
5000000 1
 
0.8%
10000000 7
5.9%
20000000 3
 
2.5%
20576059 1
 
0.8%
25000000 1
 
0.8%
50000000 5
4.2%
60000000 1
 
0.8%
64788294 1
 
0.8%
ValueCountFrequency (%)
150000000000 1
 
0.8%
2338407704 1
 
0.8%
178848740 2
 
1.7%
167771808 1
 
0.8%
150000000 2
 
1.7%
100000000 2
 
1.7%
80000000 1
 
0.8%
64788294 1
 
0.8%
60000000 1
 
0.8%
50000000 5
4.2%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing118
Missing (%)100.0%
Memory size1.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03110000200531101112420002420051024<NA>3폐업3폐업처리20070814<NA><NA><NA>02-389-6707<NA>121883서울특별시 마포구 합정동 ***번지 **호 삼성빌딩 *층서울특별시 마포구 독막로*길 * (합정동,삼성빌딩 *층)<NA>(주)다다정보통신2008-08-07 11:14:10I2018-08-31 23:59:59.0<NA>192727.274816449478.849223000<NA>
13110000200631101112420000220060202<NA>4취소/말소/만료/정지/중지7직권말소20080711<NA><NA><NA>02-2252-3177<NA>122080서울특별시 은평구 신사동 ***번지서울특별시 은평구 갈현로*길 ** (신사동)<NA>CS커뮤니티2009-04-06 15:35:05I2018-08-31 23:59:59.0<NA>191644.368522455187.055736<NA><NA><NA><NA>
23110000200631101112420000320060213<NA>4취소/말소/만료/정지/중지7직권말소20150416<NA><NA><NA>02-387-0342<NA>122050서울특별시 은평구 갈현동 ***번지 *호서울특별시 은평구 연서로**길 **-* (갈현동)<NA>오클린2015-04-24 14:04:07I2018-08-31 23:59:59.0<NA>192534.656897456773.714885<NA><NA><NA><NA>
33110000200631101112420000420060214<NA>4취소/말소/만료/정지/중지7직권말소20150416<NA><NA><NA>02-386-0017<NA>122050서울특별시 은평구 갈현동 ***번지 *호서울특별시 은평구 연서로 *** (갈현동)<NA>(주)강북가로수 은평지점2015-04-24 13:54:12I2018-08-31 23:59:59.0<NA>192629.3871456814.296733<NA><NA><NA><NA>
43110000200631101112420000620060510<NA>4취소/말소/만료/정지/중지7직권말소20080912<NA><NA><NA>02-356-4627<NA>122030서울특별시 은평구 대조동 ***번지 **호서울특별시 은평구 통일로 *** (대조동)<NA>아인스2009-04-06 15:34:30I2018-08-31 23:59:59.0<NA>193147.639432457137.155153<NA><NA><NA><NA>
53110000200631101112420000720060526<NA>4취소/말소/만료/정지/중지7직권말소20080711<NA><NA><NA>02-3217-8601<NA>122060서울특별시 은평구 구산동 *번지 **호서울특별시 은평구 서오릉로**길 *-* (구산동)<NA>(주)유트랜드텔레콤2009-04-06 15:33:48I2018-08-31 23:59:59.0<NA>192456.734537456581.887874<NA><NA><NA><NA>
63110000200631101112420000820060623<NA>4취소/말소/만료/정지/중지7직권말소20081030<NA><NA><NA>02-384-4311<NA>122070서울특별시 은평구 역촌동 **번지 **호서울특별시 은평구 연서로 ** (역촌동)<NA>M&K 통신2009-04-06 15:33:22I2018-08-31 23:59:59.0<NA>192512.179422455691.387415<NA><NA><NA><NA>
73110000200631101112420000920060724<NA>4취소/말소/만료/정지/중지7직권말소20080711<NA><NA><NA>02-359-0040<NA>122070서울특별시 은평구 역촌동 **번지 *호서울특별시 은평구 진흥로*나길 **-* (역촌동)<NA>조은텔레콤2009-04-06 15:32:52I2018-08-31 23:59:59.0<NA>192756.63343455905.594969<NA><NA><NA><NA>
83110000200631101112420001120061030<NA>3폐업3폐업처리20100420<NA><NA><NA>02-352-4609<NA>122050서울특별시 은평구 갈현동 ***번지 *호서울특별시 은평구 연서로 *** (갈현동)<NA>하나금융2010-04-20 16:25:12I2018-08-31 23:59:59.0<NA>192728.085842457118.575913<NA><NA><NA><NA>
93110000200731101112420000220070712<NA>3폐업3폐업처리20150212<NA><NA><NA>6375-8337<NA>122908서울특별시 은평구 응암동 ***번지 **호 파인빌딩 *층동서울특별시 은평구 응암로 ***, *층동 (응암동,파인빌딩)<NA>(주)파워유지콤2015-02-12 10:45:48I2018-08-31 23:59:59.0<NA>192998.369687455177.061469419660760240812020178848740<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
1083110000202231102172420000320220630<NA>3폐업3폐업처리20221129<NA><NA><NA>02-3237-9301<NA><NA>서울특별시 은평구 구산동 **-**서울특별시 은평구 갈현로 ***, *층 (구산동)3429에스비컨설팅(SB consulting) 대부중개2022-11-30 10:28:29U2021-11-02 00:02:00.0<NA>192069.689256456481.794658<NA><NA><NA><NA>
1093110000202231102172420000420221206<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 구산동 14-40서울특별시 은평구 갈현로 141, 제2층 201호 (구산동)3429에이치제이 마켓팅2022-12-06 09:18:13I2021-11-02 00:08:00.0<NA>192069.689256456481.794658<NA><NA><NA><NA>
110311000020233110217242000012023-02-22<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-6277-9887<NA><NA>서울특별시 은평구 갈현동 ***-**서울특별시 은평구 통일로**길 **, *층 (갈현동)3328서용2023-02-22 13:50:01I2022-12-01 22:04:00.0<NA>192707.089703457917.363178<NA><NA><NA><NA>
111311000020233110217242000022023-08-07<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-389-9879<NA><NA>서울특별시 은평구 응암동 ***-** 래디앙서울특별시 은평구 은평로*길 *-*, 래디앙 ***호 (응암동)3454동그라미국제결혼정보2023-08-07 16:41:13I2022-12-08 00:09:00.0<NA>192971.391876455232.802308<NA><NA><NA><NA>
112311000020233110217242000032023-09-11<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 역촌동 **-**서울특별시 은평구 갈현로*길 **, ***호 (역촌동)3420SUN 컴퍼니2023-09-11 14:50:43I2022-12-08 23:03:00.0<NA>192260.034549455443.448212<NA><NA><NA><NA>
113311000020233110217242000042023-09-26<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-2088-0736<NA><NA>서울특별시 은평구 진관동 **-* 은평뉴타운파크앤타워서울특별시 은평구 진관*로 **, 은평뉴타운파크앤타워 *층 ***호 (진관동)3302신라컴퍼니2023-09-26 10:49:32I2022-12-08 22:08:00.0<NA>192930.333583459665.85617<NA><NA><NA><NA>
114311000020233110217242000052023-12-14<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-305-9198<NA><NA>서울특별시 은평구 신사동 ***-* 선양빌딩서울특별시 은평구 증산로 ***, 선양빌딩 *층 *호 (신사동)3442도다텔2023-12-14 09:24:52I2022-11-01 23:06:00.0<NA>192307.618834454468.833692<NA><NA><NA><NA>
115311000020243110217242000012024-01-03<NA>1영업/정상1정상영업<NA><NA><NA><NA>1577-3077<NA><NA>서울특별시 은평구 신사동 *-*서울특별시 은평구 은평로 **, *층 (신사동)3423아이티인프라2024-01-08 13:10:36I2023-11-30 23:00:00.0<NA>192166.132783455134.44071<NA><NA><NA><NA>
116311000020243110217242000022024-02-26<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 ***-**서울특별시 은평구 통일로**길 **, *층 (대조동)3385(주)영웅정보통신2024-02-26 17:28:29I2023-12-01 22:08:00.0<NA>193155.065953457021.746216<NA><NA><NA><NA>
117311000020243110217242000032024-04-03<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-3141-9969<NA><NA>서울특별시 은평구 대조동 **-* KT은평지점서울특별시 은평구 통일로**길 **, KT은평지점 *층 (대조동)3391중앙인터넷2024-04-04 16:45:49I2023-12-04 00:06:00.0<NA>193394.38138456765.338643<NA><NA><NA><NA>