Overview

Dataset statistics

Number of variables29
Number of observations166
Missing cells1831
Missing cells (%)38.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.7 KiB
Average record size in memory250.8 B

Variable types

Categorical7
Numeric8
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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-18786/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신일자 is highly imbalanced (52.4%)Imbalance
인허가취소일자 has 166 (100.0%) missing valuesMissing
폐업일자 has 49 (29.5%) missing valuesMissing
휴업시작일자 has 166 (100.0%) missing valuesMissing
휴업종료일자 has 166 (100.0%) missing valuesMissing
재개업일자 has 166 (100.0%) missing valuesMissing
전화번호 has 63 (38.0%) missing valuesMissing
소재지면적 has 166 (100.0%) missing valuesMissing
소재지우편번호 has 90 (54.2%) missing valuesMissing
지번주소 has 43 (25.9%) missing valuesMissing
도로명주소 has 6 (3.6%) missing valuesMissing
도로명우편번호 has 69 (41.6%) missing valuesMissing
업태구분명 has 166 (100.0%) missing valuesMissing
좌표정보(X) has 3 (1.8%) missing valuesMissing
좌표정보(Y) has 3 (1.8%) missing valuesMissing
자산규모 has 114 (68.7%) missing valuesMissing
부채총액 has 115 (69.3%) missing valuesMissing
자본금 has 114 (68.7%) missing valuesMissing
판매방식명 has 166 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
판매방식명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자산규모 has 23 (13.9%) zerosZeros
부채총액 has 38 (22.9%) zerosZeros
자본금 has 20 (12.0%) zerosZeros

Reproduction

Analysis started2024-05-11 08:23:10.878184
Analysis finished2024-05-11 08:23:11.299761
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3090000
166 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 166
100.0%

Length

2024-05-11T17:23:11.352461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:23:11.437475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 166
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct166
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.013797 × 1018
Minimum2.007309 × 1018
Maximum2.024309 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T17:23:11.534818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.007309 × 1018
5-th percentile2.007309 × 1018
Q12.008309 × 1018
median2.014309 × 1018
Q32.018309 × 1018
95-th percentile2.022309 × 1018
Maximum2.024309 × 1018
Range1.7000008 × 1016
Interquartile range (IQR)1.0000005 × 1016

Descriptive statistics

Standard deviation5.2670964 × 1015
Coefficient of variation (CV)0.0026155052
Kurtosis-1.3810984
Mean2.013797 × 1018
Median Absolute Deviation (MAD)5.0000029 × 1015
Skewness0.13816196
Sum2.2489029 × 1018
Variance2.7742305 × 1031
MonotonicityStrictly increasing
2024-05-11T17:23:11.673998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2007309010524200003 1
 
0.6%
2016309015224200009 1
 
0.6%
2016309015224200011 1
 
0.6%
2016309015224200012 1
 
0.6%
2016309015224200013 1
 
0.6%
2017309015224200001 1
 
0.6%
2017309015224200002 1
 
0.6%
2017309015224200003 1
 
0.6%
2017309015224200005 1
 
0.6%
2017309015224200006 1
 
0.6%
Other values (156) 156
94.0%
ValueCountFrequency (%)
2007309010524200003 1
0.6%
2007309010524200006 1
0.6%
2007309010524200014 1
0.6%
2007309010524200015 1
0.6%
2007309010524200016 1
0.6%
2007309010524200018 1
0.6%
2007309010524200024 1
0.6%
2007309010524200025 1
0.6%
2007309010524200028 1
0.6%
2007309010524200033 1
0.6%
ValueCountFrequency (%)
2024309018524200001 1
0.6%
2023309018524200002 1
0.6%
2023309018524200001 1
0.6%
2022309017024200008 1
0.6%
2022309017024200007 1
0.6%
2022309017024200006 1
0.6%
2022309017024200005 1
0.6%
2022309017024200004 1
0.6%
2022309017024200003 1
0.6%
2022309017024200002 1
0.6%

인허가일자
Date

Distinct162
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2002-10-07 00:00:00
Maximum2024-02-22 00:00:00
2024-05-11T17:23:11.818360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:23:11.943145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
88 
4
52 
1
25 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
3 88
53.0%
4 52
31.3%
1 25
 
15.1%
5 1
 
0.6%

Length

2024-05-11T17:23:12.057353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:23:12.148303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 88
53.0%
4 52
31.3%
1 25
 
15.1%
5 1
 
0.6%

영업상태명
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
88 
취소/말소/만료/정지/중지
52 
영업/정상
25 
제외/삭제/전출
 
1

Length

Max length14
Median length2
Mean length6.246988
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 88
53.0%
취소/말소/만료/정지/중지 52
31.3%
영업/정상 25
 
15.1%
제외/삭제/전출 1
 
0.6%

Length

2024-05-11T17:23:12.251498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:23:12.352465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 88
53.0%
취소/말소/만료/정지/중지 52
31.3%
영업/정상 25
 
15.1%
제외/삭제/전출 1
 
0.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
88 
7
52 
1
25 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
3 88
53.0%
7 52
31.3%
1 25
 
15.1%
5 1
 
0.6%

Length

2024-05-11T17:23:12.453679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:23:12.544645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 88
53.0%
7 52
31.3%
1 25
 
15.1%
5 1
 
0.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업처리
88 
직권말소
52 
정상영업
25 
타시군구이관
 
1

Length

Max length6
Median length4
Mean length4.0120482
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 88
53.0%
직권말소 52
31.3%
정상영업 25
 
15.1%
타시군구이관 1
 
0.6%

Length

2024-05-11T17:23:12.659658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:23:12.763783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 88
53.0%
직권말소 52
31.3%
정상영업 25
 
15.1%
타시군구이관 1
 
0.6%

폐업일자
Date

MISSING 

Distinct91
Distinct (%)77.8%
Missing49
Missing (%)29.5%
Memory size1.4 KiB
Minimum2007-07-24 00:00:00
Maximum2023-06-13 00:00:00
2024-05-11T17:23:12.885593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:23:13.024368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

전화번호
Text

MISSING 

Distinct99
Distinct (%)96.1%
Missing63
Missing (%)38.0%
Memory size1.4 KiB
2024-05-11T17:23:13.261333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.572816
Min length8

Characters and Unicode

Total characters1089
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

Unique95 ?
Unique (%)92.2%

Sample

1st row02-904-8156
2nd row02-3499-4810
3rd row02-900-7370
4th row02-903-1548
5th row02-996-5555
ValueCountFrequency (%)
02-993-5200 2
 
1.9%
988-5250 2
 
1.9%
02-998-1144 2
 
1.9%
995-2900 2
 
1.9%
02-904-8156 1
 
1.0%
070-7567-2147 1
 
1.0%
988-3577 1
 
1.0%
908-1193 1
 
1.0%
217-81-40647 1
 
1.0%
02-930-0928 1
 
1.0%
Other values (89) 89
86.4%
2024-05-11T17:23:13.610438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 176
16.2%
- 174
16.0%
2 130
11.9%
9 108
9.9%
1 87
8.0%
5 75
6.9%
6 75
6.9%
3 74
6.8%
4 67
 
6.2%
7 64
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 915
84.0%
Dash Punctuation 174
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 176
19.2%
2 130
14.2%
9 108
11.8%
1 87
9.5%
5 75
8.2%
6 75
8.2%
3 74
8.1%
4 67
 
7.3%
7 64
 
7.0%
8 59
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 174
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1089
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 176
16.2%
- 174
16.0%
2 130
11.9%
9 108
9.9%
1 87
8.0%
5 75
6.9%
6 75
6.9%
3 74
6.8%
4 67
 
6.2%
7 64
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1089
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 176
16.2%
- 174
16.0%
2 130
11.9%
9 108
9.9%
1 87
8.0%
5 75
6.9%
6 75
6.9%
3 74
6.8%
4 67
 
6.2%
7 64
 
5.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)23.7%
Missing90
Missing (%)54.2%
Infinite0
Infinite (%)0.0%
Mean132159.66
Minimum132010
Maximum132924
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T17:23:13.725053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum132010
5-th percentile132010
Q1132030
median132040
Q3132040
95-th percentile132898
Maximum132924
Range914
Interquartile range (IQR)10

Descriptive statistics

Standard deviation299.41777
Coefficient of variation (CV)0.0022655762
Kurtosis1.8971066
Mean132159.66
Median Absolute Deviation (MAD)10
Skewness1.9440274
Sum10044134
Variance89651.001
MonotonicityNot monotonic
2024-05-11T17:23:13.827007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
132040 31
 
18.7%
132030 10
 
6.0%
132020 9
 
5.4%
132010 7
 
4.2%
132820 2
 
1.2%
132924 2
 
1.2%
132033 2
 
1.2%
132021 2
 
1.2%
132898 2
 
1.2%
132043 1
 
0.6%
Other values (8) 8
 
4.8%
(Missing) 90
54.2%
ValueCountFrequency (%)
132010 7
 
4.2%
132020 9
 
5.4%
132021 2
 
1.2%
132030 10
 
6.0%
132032 1
 
0.6%
132033 2
 
1.2%
132040 31
18.7%
132041 1
 
0.6%
132043 1
 
0.6%
132731 1
 
0.6%
ValueCountFrequency (%)
132924 2
1.2%
132917 1
0.6%
132898 2
1.2%
132864 1
0.6%
132820 2
1.2%
132819 1
0.6%
132767 1
0.6%
132738 1
0.6%
132731 1
0.6%
132043 1
0.6%

지번주소
Text

MISSING 

Distinct99
Distinct (%)80.5%
Missing43
Missing (%)25.9%
Memory size1.4 KiB
2024-05-11T17:23:14.050913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length35
Mean length27.390244
Min length16

Characters and Unicode

Total characters3369
Distinct characters132
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

Unique83 ?
Unique (%)67.5%

Sample

1st row서울특별시 도봉구 창동 ***번지 *호 ***호
2nd row서울특별시 도봉구 창동 ***번지 *호 KT도봉지점 *층
3rd row서울특별시 도봉구 쌍문동 **번지 **호
4th row서울특별시 도봉구 창동 **번지 점보오피스텔 ***
5th row서울특별시 도봉구 창동 ***번지 **호 *층
ValueCountFrequency (%)
서울특별시 123
16.7%
도봉구 123
16.7%
호 117
15.9%
번지 99
13.4%
창동 51
6.9%
30
 
4.1%
층 29
 
3.9%
방학동 23
 
3.1%
쌍문동 20
 
2.7%
도봉동 19
 
2.6%
Other values (72) 104
14.1%
2024-05-11T17:23:14.412303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 664
19.7%
619
18.4%
도 156
 
4.6%
봉 155
 
4.6%
동 133
 
3.9%
구 127
 
3.8%
시 126
 
3.7%
서 123
 
3.7%
울 123
 
3.7%
별 123
 
3.7%
Other values (122) 1020
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2045
60.7%
Other Punctuation 665
 
19.7%
Space Separator 619
 
18.4%
Dash Punctuation 19
 
0.6%
Uppercase Letter 16
 
0.5%
Decimal Number 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 156
 
7.6%
봉 155
 
7.6%
동 133
 
6.5%
구 127
 
6.2%
시 126
 
6.2%
서 123
 
6.0%
울 123
 
6.0%
별 123
 
6.0%
특 123
 
6.0%
호 120
 
5.9%
Other values (105) 736
36.0%
Uppercase Letter
ValueCountFrequency (%)
K 4
25.0%
I 2
12.5%
N 2
12.5%
G 2
12.5%
B 2
12.5%
T 2
12.5%
E 1
 
6.2%
Q 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
6 1
20.0%
3 1
20.0%
1 1
20.0%
2 1
20.0%
4 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 664
99.8%
, 1
 
0.2%
Space Separator
ValueCountFrequency (%)
619
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2045
60.7%
Common 1308
38.8%
Latin 16
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 156
 
7.6%
봉 155
 
7.6%
동 133
 
6.5%
구 127
 
6.2%
시 126
 
6.2%
서 123
 
6.0%
울 123
 
6.0%
별 123
 
6.0%
특 123
 
6.0%
호 120
 
5.9%
Other values (105) 736
36.0%
Common
ValueCountFrequency (%)
* 664
50.8%
619
47.3%
- 19
 
1.5%
, 1
 
0.1%
6 1
 
0.1%
3 1
 
0.1%
1 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%
Latin
ValueCountFrequency (%)
K 4
25.0%
I 2
12.5%
N 2
12.5%
G 2
12.5%
B 2
12.5%
T 2
12.5%
E 1
 
6.2%
Q 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2045
60.7%
ASCII 1324
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 664
50.2%
619
46.8%
- 19
 
1.4%
K 4
 
0.3%
I 2
 
0.2%
N 2
 
0.2%
G 2
 
0.2%
B 2
 
0.2%
T 2
 
0.2%
E 1
 
0.1%
Other values (7) 7
 
0.5%
Hangul
ValueCountFrequency (%)
도 156
 
7.6%
봉 155
 
7.6%
동 133
 
6.5%
구 127
 
6.2%
시 126
 
6.2%
서 123
 
6.0%
울 123
 
6.0%
별 123
 
6.0%
특 123
 
6.0%
호 120
 
5.9%
Other values (105) 736
36.0%

도로명주소
Text

MISSING 

Distinct145
Distinct (%)90.6%
Missing6
Missing (%)3.6%
Memory size1.4 KiB
2024-05-11T17:23:14.702947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length33.74375
Min length22

Characters and Unicode

Total characters5399
Distinct characters142
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

Unique132 ?
Unique (%)82.5%

Sample

1st row서울특별시 도봉구 노해로**길 ** (창동,***호)
2nd row서울특별시 도봉구 도봉로***길 ** (창동,KT도봉지점 *층)
3rd row서울특별시 도봉구 도봉로***길 ** (쌍문동)
4th row서울특별시 도봉구 노해로**길 **-** (창동,점보오피스텔 ***)
5th row서울특별시 도봉구 도봉로 *** (창동,*층)
ValueCountFrequency (%)
165
16.1%
서울특별시 160
15.6%
도봉구 160
15.6%
호 82
 
8.0%
층 57
 
5.6%
창동 50
 
4.9%
도봉로***길 32
 
3.1%
도봉로 26
 
2.5%
노해로**길 26
 
2.5%
쌍문동 20
 
1.9%
Other values (121) 249
24.2%
2024-05-11T17:23:15.080142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1024
19.0%
872
16.2%
도 271
 
5.0%
봉 271
 
5.0%
, 188
 
3.5%
동 181
 
3.4%
시 167
 
3.1%
서 161
 
3.0%
구 161
 
3.0%
( 160
 
3.0%
Other values (132) 1943
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2941
54.5%
Other Punctuation 1212
22.4%
Space Separator 872
 
16.2%
Open Punctuation 160
 
3.0%
Close Punctuation 160
 
3.0%
Dash Punctuation 27
 
0.5%
Uppercase Letter 20
 
0.4%
Decimal Number 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 271
 
9.2%
봉 271
 
9.2%
동 181
 
6.2%
시 167
 
5.7%
서 161
 
5.5%
구 161
 
5.5%
울 160
 
5.4%
별 160
 
5.4%
특 160
 
5.4%
로 158
 
5.4%
Other values (110) 1091
37.1%
Uppercase Letter
ValueCountFrequency (%)
K 4
20.0%
B 4
20.0%
I 2
10.0%
G 2
10.0%
N 2
10.0%
T 2
10.0%
A 1
 
5.0%
Q 1
 
5.0%
E 1
 
5.0%
C 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
7 2
28.6%
2 1
14.3%
8 1
14.3%
4 1
14.3%
0 1
14.3%
1 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 1024
84.5%
, 188
 
15.5%
Space Separator
ValueCountFrequency (%)
872
100.0%
Open Punctuation
ValueCountFrequency (%)
( 160
100.0%
Close Punctuation
ValueCountFrequency (%)
) 160
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2941
54.5%
Common 2438
45.2%
Latin 20
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 271
 
9.2%
봉 271
 
9.2%
동 181
 
6.2%
시 167
 
5.7%
서 161
 
5.5%
구 161
 
5.5%
울 160
 
5.4%
별 160
 
5.4%
특 160
 
5.4%
로 158
 
5.4%
Other values (110) 1091
37.1%
Common
ValueCountFrequency (%)
* 1024
42.0%
872
35.8%
, 188
 
7.7%
( 160
 
6.6%
) 160
 
6.6%
- 27
 
1.1%
7 2
 
0.1%
2 1
 
< 0.1%
8 1
 
< 0.1%
4 1
 
< 0.1%
Other values (2) 2
 
0.1%
Latin
ValueCountFrequency (%)
K 4
20.0%
B 4
20.0%
I 2
10.0%
G 2
10.0%
N 2
10.0%
T 2
10.0%
A 1
 
5.0%
Q 1
 
5.0%
E 1
 
5.0%
C 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2941
54.5%
ASCII 2458
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1024
41.7%
872
35.5%
, 188
 
7.6%
( 160
 
6.5%
) 160
 
6.5%
- 27
 
1.1%
K 4
 
0.2%
B 4
 
0.2%
I 2
 
0.1%
7 2
 
0.1%
Other values (12) 15
 
0.6%
Hangul
ValueCountFrequency (%)
도 271
 
9.2%
봉 271
 
9.2%
동 181
 
6.2%
시 167
 
5.7%
서 161
 
5.5%
구 161
 
5.5%
울 160
 
5.4%
별 160
 
5.4%
특 160
 
5.4%
로 158
 
5.4%
Other values (110) 1091
37.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)56.7%
Missing69
Missing (%)41.6%
Infinite0
Infinite (%)0.0%
Mean31189.412
Minimum1301
Maximum132924
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T17:23:15.208351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1301
5-th percentile1312.6
Q11353
median1414
Q31478
95-th percentile132924
Maximum132924
Range131623
Interquartile range (IQR)125

Descriptive statistics

Standard deviation55301.171
Coefficient of variation (CV)1.7730751
Kurtosis-0.24890191
Mean31189.412
Median Absolute Deviation (MAD)64
Skewness1.3253747
Sum3025373
Variance3.0582195 × 109
MonotonicityNot monotonic
2024-05-11T17:23:15.328070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1414 13
 
7.8%
132924 6
 
3.6%
1340 5
 
3.0%
1405 5
 
3.0%
1453 5
 
3.0%
1447 3
 
1.8%
1332 2
 
1.2%
1415 2
 
1.2%
132898 2
 
1.2%
1318 2
 
1.2%
Other values (45) 52
31.3%
(Missing) 69
41.6%
ValueCountFrequency (%)
1301 1
0.6%
1303 1
0.6%
1304 1
0.6%
1307 2
1.2%
1314 1
0.6%
1318 2
1.2%
1320 1
0.6%
1321 1
0.6%
1322 1
0.6%
1323 1
0.6%
ValueCountFrequency (%)
132924 6
3.6%
132917 1
 
0.6%
132908 1
 
0.6%
132899 2
 
1.2%
132898 2
 
1.2%
132868 1
 
0.6%
132866 1
 
0.6%
132850 1
 
0.6%
132839 1
 
0.6%
132821 1
 
0.6%

사업장명
Text

Distinct159
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T17:23:15.577593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length14
Mean length6.7710843
Min length2

Characters and Unicode

Total characters1124
Distinct characters242
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

Unique154 ?
Unique (%)92.8%

Sample

1st row지엔비클럽(GNB CLUB)
2nd row(주)케이티티엠
3rd row대우통상
4th row한국영상
5th row(주)키스톤에듀
ValueCountFrequency (%)
주식회사 12
 
6.1%
보성산업기술원 4
 
2.0%
주 4
 
2.0%
창조서적 2
 
1.0%
윈윈네트워크 2
 
1.0%
다원 2
 
1.0%
가나국제결혼 2
 
1.0%
컴퍼니 2
 
1.0%
하이오케이 1
 
0.5%
안심힐링푸드 1
 
0.5%
Other values (166) 166
83.8%
2024-05-11T17:23:15.933190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 45
 
4.0%
주 43
 
3.8%
) 41
 
3.6%
( 41
 
3.6%
32
 
2.8%
스 26
 
2.3%
사 22
 
2.0%
통 20
 
1.8%
신 19
 
1.7%
인 18
 
1.6%
Other values (232) 817
72.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 935
83.2%
Uppercase Letter 57
 
5.1%
Close Punctuation 41
 
3.6%
Open Punctuation 41
 
3.6%
Space Separator 32
 
2.8%
Lowercase Letter 13
 
1.2%
Other Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 45
 
4.8%
주 43
 
4.6%
스 26
 
2.8%
사 22
 
2.4%
통 20
 
2.1%
신 19
 
2.0%
인 18
 
1.9%
케 17
 
1.8%
보 17
 
1.8%
트 16
 
1.7%
Other values (202) 692
74.0%
Uppercase Letter
ValueCountFrequency (%)
J 6
 
10.5%
B 5
 
8.8%
C 5
 
8.8%
T 5
 
8.8%
N 4
 
7.0%
S 4
 
7.0%
H 4
 
7.0%
L 3
 
5.3%
O 3
 
5.3%
P 3
 
5.3%
Other values (7) 15
26.3%
Lowercase Letter
ValueCountFrequency (%)
o 4
30.8%
m 2
15.4%
a 2
15.4%
y 2
15.4%
d 1
 
7.7%
n 1
 
7.7%
p 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 1
 
20.0%
& 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 935
83.2%
Common 119
 
10.6%
Latin 70
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 45
 
4.8%
주 43
 
4.6%
스 26
 
2.8%
사 22
 
2.4%
통 20
 
2.1%
신 19
 
2.0%
인 18
 
1.9%
케 17
 
1.8%
보 17
 
1.8%
트 16
 
1.7%
Other values (202) 692
74.0%
Latin
ValueCountFrequency (%)
J 6
 
8.6%
B 5
 
7.1%
C 5
 
7.1%
T 5
 
7.1%
N 4
 
5.7%
S 4
 
5.7%
H 4
 
5.7%
o 4
 
5.7%
L 3
 
4.3%
O 3
 
4.3%
Other values (14) 27
38.6%
Common
ValueCountFrequency (%)
) 41
34.5%
( 41
34.5%
32
26.9%
. 3
 
2.5%
, 1
 
0.8%
& 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 935
83.2%
ASCII 189
 
16.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 45
 
4.8%
주 43
 
4.6%
스 26
 
2.8%
사 22
 
2.4%
통 20
 
2.1%
신 19
 
2.0%
인 18
 
1.9%
케 17
 
1.8%
보 17
 
1.8%
트 16
 
1.7%
Other values (202) 692
74.0%
ASCII
ValueCountFrequency (%)
) 41
21.7%
( 41
21.7%
32
16.9%
J 6
 
3.2%
B 5
 
2.6%
C 5
 
2.6%
T 5
 
2.6%
N 4
 
2.1%
S 4
 
2.1%
H 4
 
2.1%
Other values (20) 42
22.2%

최종수정일자
Date

UNIQUE 

Distinct166
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2007-07-24 14:26:08
Maximum2024-04-25 11:37:40
2024-05-11T17:23:16.077493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:23:16.440110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
131 
U
35 

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 131
78.9%
U 35
 
21.1%

Length

2024-05-11T17:23:16.549266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:23:16.638670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 131
78.9%
u 35
 
21.1%

데이터갱신일자
Categorical

IMBALANCE 

Distinct50
Distinct (%)30.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2018-08-31 23:59:59.0
113 
2021-08-13 00:22:51.0
 
2
2022-12-01 23:02:00.0
 
2
2022-03-26 02:40:00.0
 
2
2019-06-02 02:40:00.0
 
2
Other values (45)
45 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique45 ?
Unique (%)27.1%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 113
68.1%
2021-08-13 00:22:51.0 2
 
1.2%
2022-12-01 23:02:00.0 2
 
1.2%
2022-03-26 02:40:00.0 2
 
1.2%
2019-06-02 02:40:00.0 2
 
1.2%
2019-02-20 02:40:00.0 1
 
0.6%
2018-09-28 23:59:59.0 1
 
0.6%
2019-01-02 02:40:00.0 1
 
0.6%
2021-12-04 22:01:00.0 1
 
0.6%
2018-11-23 02:37:11.0 1
 
0.6%
Other values (40) 40
 
24.1%

Length

2024-05-11T17:23:16.729471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 114
34.3%
2018-08-31 113
34.0%
02:40:00.0 26
 
7.8%
2022-12-01 3
 
0.9%
23:02:00.0 3
 
0.9%
2022-03-02 2
 
0.6%
2021-08-13 2
 
0.6%
00:22:51.0 2
 
0.6%
2022-03-26 2
 
0.6%
2019-06-02 2
 
0.6%
Other values (60) 63
19.0%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct103
Distinct (%)63.2%
Missing3
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean203548.49
Minimum201324.62
Maximum204506.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T17:23:16.832065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201324.62
5-th percentile202630.27
Q1203020.97
median203555.2
Q3204131.01
95-th percentile204365.04
Maximum204506.92
Range3182.2999
Interquartile range (IQR)1110.0369

Descriptive statistics

Standard deviation633.24906
Coefficient of variation (CV)0.0031110477
Kurtosis-0.10090059
Mean203548.49
Median Absolute Deviation (MAD)534.22213
Skewness-0.47432765
Sum33178404
Variance401004.37
MonotonicityNot monotonic
2024-05-11T17:23:16.958650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202871.080504567 8
 
4.8%
204345.826664906 7
 
4.2%
203020.974936399 6
 
3.6%
203437.414425474 5
 
3.0%
202999.2675169 5
 
3.0%
204263.706546457 5
 
3.0%
203555.197063214 5
 
3.0%
204169.847670316 3
 
1.8%
204428.262955437 3
 
1.8%
203964.099772835 3
 
1.8%
Other values (93) 113
68.1%
ValueCountFrequency (%)
201324.621203536 1
0.6%
201842.457098111 1
0.6%
201872.541247361 1
0.6%
202237.410410982 2
1.2%
202379.037389764 1
0.6%
202616.381133222 1
0.6%
202622.428149134 1
0.6%
202625.589439164 1
0.6%
202672.3762656 1
0.6%
202674.124905333 1
0.6%
ValueCountFrequency (%)
204506.921108086 1
 
0.6%
204502.118604099 2
 
1.2%
204428.262955437 3
1.8%
204391.615 2
 
1.2%
204365.037901995 2
 
1.2%
204357.382835077 1
 
0.6%
204348.91 1
 
0.6%
204345.826664906 7
4.2%
204335.057042232 3
1.8%
204304.700961152 1
 
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct103
Distinct (%)63.2%
Missing3
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean461587.28
Minimum459299.29
Maximum465123.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T17:23:17.078828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum459299.29
5-th percentile459554.4
Q1460681.18
median461153.88
Q3462497.28
95-th percentile464691.64
Maximum465123.84
Range5824.549
Interquartile range (IQR)1816.1023

Descriptive statistics

Standard deviation1377.8817
Coefficient of variation (CV)0.0029850946
Kurtosis0.064222132
Mean461587.28
Median Absolute Deviation (MAD)631.84865
Skewness0.83482487
Sum75238726
Variance1898557.9
MonotonicityNot monotonic
2024-05-11T17:23:17.195331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
460522.031748747 8
 
4.8%
461119.957690091 7
 
4.2%
460449.890824852 6
 
3.6%
459299.292684145 5
 
3.0%
460616.701327584 5
 
3.0%
461207.244729609 5
 
3.0%
462497.278785272 5
 
3.0%
464814.717432497 3
 
1.8%
461255.95371801 3
 
1.8%
464779.326449954 3
 
1.8%
Other values (93) 113
68.1%
ValueCountFrequency (%)
459299.292684145 5
3.0%
459401.712284282 1
 
0.6%
459467.613847618 1
 
0.6%
459551.117655424 2
 
1.2%
459583.907908805 1
 
0.6%
459591.985429644 1
 
0.6%
459820.359926529 1
 
0.6%
460286.734892203 1
 
0.6%
460395.256601978 1
 
0.6%
460449.890824852 6
3.6%
ValueCountFrequency (%)
465123.841705959 1
 
0.6%
464814.717432497 3
1.8%
464779.326449954 3
1.8%
464767.746320978 1
 
0.6%
464715.959316893 1
 
0.6%
464472.810888981 1
 
0.6%
464292.622326139 1
 
0.6%
464092.187505065 1
 
0.6%
464024.565591889 1
 
0.6%
463953.594076242 1
 
0.6%

자산규모
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)44.2%
Missing114
Missing (%)68.7%
Infinite0
Infinite (%)0.0%
Mean1.7996126 × 108
Minimum0
Maximum2.659225 × 109
Zeros23
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T17:23:17.320668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3500000
Q366250000
95-th percentile1.036954 × 109
Maximum2.659225 × 109
Range2.659225 × 109
Interquartile range (IQR)66250000

Descriptive statistics

Standard deviation4.5473122 × 108
Coefficient of variation (CV)2.5268284
Kurtosis17.663956
Mean1.7996126 × 108
Median Absolute Deviation (MAD)3500000
Skewness3.8813816
Sum9.3579855 × 109
Variance2.0678048 × 1017
MonotonicityNot monotonic
2024-05-11T17:23:17.441958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 23
 
13.9%
50000000 4
 
2.4%
10000000 3
 
1.8%
300000000 2
 
1.2%
1000000 2
 
1.2%
255000000 1
 
0.6%
1143000000 1
 
0.6%
30000000 1
 
0.6%
52291968 1
 
0.6%
2000000 1
 
0.6%
Other values (13) 13
 
7.8%
(Missing) 114
68.7%
ValueCountFrequency (%)
0 23
13.9%
1000000 2
 
1.2%
2000000 1
 
0.6%
5000000 1
 
0.6%
10000000 3
 
1.8%
20000000 1
 
0.6%
30000000 1
 
0.6%
49477434 1
 
0.6%
50000000 4
 
2.4%
52291968 1
 
0.6%
ValueCountFrequency (%)
2659224971 1
0.6%
1210483499 1
0.6%
1143000000 1
0.6%
950189164 1
0.6%
872645614 1
0.6%
594840104 1
0.6%
300000000 2
1.2%
255000000 1
0.6%
200000000 1
0.6%
173533555 1
0.6%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)27.5%
Missing115
Missing (%)69.3%
Infinite0
Infinite (%)0.0%
Mean1.4695953 × 108
Minimum0
Maximum3.4254929 × 109
Zeros38
Zeros (%)22.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T17:23:17.542334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32500000
95-th percentile7.2698857 × 108
Maximum3.4254929 × 109
Range3.4254929 × 109
Interquartile range (IQR)2500000

Descriptive statistics

Standard deviation5.1744368 × 108
Coefficient of variation (CV)3.5209945
Kurtosis33.542012
Mean1.4695953 × 108
Median Absolute Deviation (MAD)0
Skewness5.4860232
Sum7.4949358 × 109
Variance2.6774796 × 1017
MonotonicityNot monotonic
2024-05-11T17:23:17.649676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 38
 
22.9%
100000000 1
 
0.6%
233000000 1
 
0.6%
145426667 1
 
0.6%
289920073 1
 
0.6%
420595238 1
 
0.6%
5000000 1
 
0.6%
751245350 1
 
0.6%
702731781 1
 
0.6%
1141000000 1
 
0.6%
Other values (4) 4
 
2.4%
(Missing) 115
69.3%
ValueCountFrequency (%)
0 38
22.9%
5000000 1
 
0.6%
30000000 1
 
0.6%
35628860 1
 
0.6%
100000000 1
 
0.6%
145426667 1
 
0.6%
214894952 1
 
0.6%
233000000 1
 
0.6%
289920073 1
 
0.6%
420595238 1
 
0.6%
ValueCountFrequency (%)
3425492880 1
0.6%
1141000000 1
0.6%
751245350 1
0.6%
702731781 1
0.6%
420595238 1
0.6%
289920073 1
0.6%
233000000 1
0.6%
214894952 1
0.6%
145426667 1
0.6%
100000000 1
0.6%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)34.6%
Missing114
Missing (%)68.7%
Infinite0
Infinite (%)0.0%
Mean50080390
Minimum0
Maximum3.0492003 × 108
Zeros20
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T17:23:17.777708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10000000
Q350000000
95-th percentile2.6355265 × 108
Maximum3.0492003 × 108
Range3.0492003 × 108
Interquartile range (IQR)50000000

Descriptive statistics

Standard deviation83646807
Coefficient of variation (CV)1.6702507
Kurtosis3.3634953
Mean50080390
Median Absolute Deviation (MAD)10000000
Skewness2.0657609
Sum2.6041803 × 109
Variance6.9967884 × 1015
MonotonicityNot monotonic
2024-05-11T17:23:17.882335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 20
 
12.0%
50000000 9
 
5.4%
10000000 5
 
3.0%
300000000 2
 
1.2%
100000000 2
 
1.2%
1000000 2
 
1.2%
60000000 1
 
0.6%
30000000 1
 
0.6%
5000000 1
 
0.6%
2000000 1
 
0.6%
Other values (8) 8
 
4.8%
(Missing) 114
68.7%
ValueCountFrequency (%)
0 20
12.0%
1000000 2
 
1.2%
2000000 1
 
0.6%
5000000 1
 
0.6%
10000000 5
 
3.0%
20000000 1
 
0.6%
28106888 1
 
0.6%
30000000 1
 
0.6%
49477434 1
 
0.6%
50000000 9
5.4%
ValueCountFrequency (%)
304920031 1
 
0.6%
300000000 2
 
1.2%
233732091 1
 
0.6%
200000000 1
 
0.6%
198943814 1
 
0.6%
170000000 1
 
0.6%
100000000 2
 
1.2%
60000000 1
 
0.6%
50000000 9
5.4%
49477434 1
 
0.6%

판매방식명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
03090000200730901052420000320021007<NA>4취소/말소/만료/정지/중지7직권말소20100517<NA><NA><NA>02-904-8156<NA>132040서울특별시 도봉구 창동 ***번지 *호 ***호서울특별시 도봉구 노해로**길 ** (창동,***호)<NA>지엔비클럽(GNB CLUB)2010-05-18 11:12:37I2018-08-31 23:59:59.0<NA>203882.238752461149.873155<NA><NA><NA><NA>
13090000200730901052420000620030602<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02-3499-4810<NA>132040서울특별시 도봉구 창동 ***번지 *호 KT도봉지점 *층서울특별시 도봉구 도봉로***길 ** (창동,KT도봉지점 *층)<NA>(주)케이티티엠2015-04-02 16:23:39I2018-08-31 23:59:59.0<NA>203020.974936460449.890825000<NA>
23090000200730901052420001420040209<NA>3폐업3폐업처리20080404<NA><NA><NA>02-900-7370<NA>132030서울특별시 도봉구 쌍문동 **번지 **호서울특별시 도봉구 도봉로***길 ** (쌍문동)<NA>대우통상2008-04-04 16:14:48I2018-08-31 23:59:59.0<NA>202954.528813460785.700917<NA><NA><NA><NA>
33090000200730901052420001520040525<NA>3폐업3폐업처리20080220<NA><NA><NA>02-903-1548<NA>132040서울특별시 도봉구 창동 **번지 점보오피스텔 ***서울특별시 도봉구 노해로**길 **-** (창동,점보오피스텔 ***)<NA>한국영상2008-02-20 17:10:55I2018-08-31 23:59:59.0<NA>204335.057042461157.210859<NA><NA><NA><NA>
43090000200730901052420001620040528<NA>3폐업3폐업처리20120518<NA><NA><NA>02-996-5555<NA>132040서울특별시 도봉구 창동 ***번지 **호 *층서울특별시 도봉구 도봉로 *** (창동,*층)<NA>(주)키스톤에듀2012-05-21 17:02:01I2018-08-31 23:59:59.0<NA>203199.631617461046.100245000<NA>
53090000200730901052420001820041109<NA>3폐업3폐업처리20071206<NA><NA><NA>02-907-4687<NA>132030서울특별시 도봉구 쌍문동 **번지 *호 원형빌딩 ***호서울특별시 도봉구 도봉로 *** (쌍문동,원형빌딩 ***호)<NA>화이트정보통신2007-12-06 17:07:14I2018-08-31 23:59:59.0<NA>202871.080505460522.031749<NA><NA><NA><NA>
63090000200730901052420002420050404<NA>4취소/말소/만료/정지/중지7직권말소<NA><NA><NA><NA>02-6464-8585<NA>132040서울특별시 도봉구 창동 ***번지 *호 우덕빌딩 *층서울특별시 도봉구 도봉로 *** (창동,우덕빌딩 *층)<NA>(주)인코넷2015-04-02 16:19:56I2018-08-31 23:59:59.0<NA>203131.154307460919.531855000<NA>
73090000200730901052420002520050415<NA>3폐업3폐업처리20140527<NA><NA><NA>02-908-1236<NA>132040서울특별시 도봉구 창동 ***번지 **호 *층서울특별시 도봉구 도봉로***길 ** (창동,*층)<NA>(주)강북교차로2014-05-27 17:45:02I2018-08-31 23:59:59.0<NA>203277.898429461153.880403000<NA>
83090000200730901052420002820050706<NA>3폐업3폐업처리20090213<NA><NA><NA>02-3493-2363<NA>132020서울특별시 도봉구 방학동 ***번지 청구아파트 B상가 B***호<NA><NA>에듀뱅크2009-02-16 15:39:43I2018-08-31 23:59:59.0<NA>202237.410411461736.71535<NA><NA><NA><NA>
93090000200730901052420003320050923<NA>3폐업3폐업처리20090430<NA><NA><NA>02-955-0015<NA>132020서울특별시 도봉구 방학동 ***번지 *호 현대렉시온 ***호서울특별시 도봉구 도봉로***길 ** (방학동,현대렉시온 ***호)<NA>강북대리점2009-04-30 17:41:04I2018-08-31 23:59:59.0<NA>203877.316994462960.615197<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자산규모부채총액자본금판매방식명
1563090000202230901702420000220220228<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 ***-* 방학동메인프라자서울특별시 도봉구 마들로 ***-**, 방학동메인프라자 *층 ***호 (방학동)1332나인컴퍼니2022-02-28 09:44:11I2022-03-02 00:22:36.0<NA>203885.511674462884.62401000<NA>
1573090000202230901702420000320220421<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 **-** 드림캐슬서울특별시 도봉구 도봉로***가길 *, ***동 ***호 (쌍문동, 드림캐슬)1440(주)프라임스탁2022-04-21 13:41:00I2021-12-03 22:03:00.0<NA>203090.960219461060.82108<NA><NA><NA><NA>
1583090000202230901702420000420220615<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 도봉동 ***-** 동도빌딩서울특별시 도봉구 마들로 ***, 동도빌딩 *층 (도봉동)1327주식회사 윈스투자그룹2022-08-25 17:09:35U2021-12-07 22:07:00.0<NA>204016.700705463407.62457<NA><NA><NA><NA>
1593090000202230901702420000520220628<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 ***-* 여산빌딩서울특별시 도봉구 도봉로***다길 **, 여산빌딩 ***호 (방학동)1332알에이컴퍼니2022-06-28 11:46:59I2021-12-05 21:00:00.0<NA>203860.326382462947.93146<NA><NA><NA><NA>
160309000020223090170242000062022-07-08<NA>3폐업3폐업처리2023-06-13<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 *** 신창아파트서울특별시 도봉구 덕릉로**길 **, 상가동 ***호 (창동, 신창아파트)1487엠엔더블유컴퍼니(MNW)2023-06-13 16:14:07U2022-12-05 23:05:00.0<NA>203623.67268459820.359927<NA><NA><NA><NA>
1613090000202230901702420000720221004<NA>1영업/정상1정상영업<NA><NA><NA><NA>02-933-4546<NA><NA>서울특별시 도봉구 창동 ***-** 삼성쉐르빌퍼스티서울특별시 도봉구 도봉로 ***, 삼성쉐르빌퍼스티 ****호 (창동)1454비전2022-10-04 14:42:02I2021-10-31 00:06:00.0<NA>202999.267517460616.701328<NA><NA><NA><NA>
1623090000202230901702420000820221230<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 도봉동 631-24서울특별시 도봉구 마들로 728-7, 401호 (도봉동)1323경원2022-12-30 13:23:26I2022-12-01 00:01:00.0<NA>204165.022746463630.756342<NA><NA><NA><NA>
163309000020233090185242000012023-02-10<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 ***-** 보성빌딩서울특별시 도봉구 방학로*길 **, 보성빌딩 *층 ***호 (방학동)1340보성산업기술원2023-02-10 14:00:03I2022-12-01 23:02:00.0<NA>203555.197063462497.278785<NA><NA><NA><NA>
164309000020233090185242000022023-11-10<NA>1영업/정상1정상영업<NA><NA><NA><NA>1522-3671<NA><NA>서울특별시 도봉구 쌍문동 *** 예일빌딩서울특별시 도봉구 도봉로 ***, 예일빌딩 *층 (쌍문동)1432주식회사 브이스탁2023-11-10 09:35:43I2022-10-31 23:02:00.0<NA>203334.767508461499.94533<NA><NA><NA><NA>
165309000020243090185242000012024-02-22<NA>1영업/정상1정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 ***-** 보성빌딩 ***호서울특별시 도봉구 방학로*길 **, 보성빌딩 *층 ***호 (방학동)1340이수G&C2024-02-22 13:15:14I2023-12-01 22:04:00.0<NA>203555.197063462497.278785<NA><NA><NA><NA>