Overview

Dataset statistics

Number of variables27
Number of observations2771
Missing cells22751
Missing cells (%)30.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory619.8 KiB
Average record size in memory229.0 B

Variable types

Categorical8
Numeric4
DateTime4
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),업종구분명,자본금의규모
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16101/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 2771 (100.0%) missing valuesMissing
폐업일자 has 1155 (41.7%) missing valuesMissing
휴업시작일자 has 2771 (100.0%) missing valuesMissing
휴업종료일자 has 2771 (100.0%) missing valuesMissing
재개업일자 has 2771 (100.0%) missing valuesMissing
전화번호 has 1985 (71.6%) missing valuesMissing
소재지면적 has 2771 (100.0%) missing valuesMissing
소재지우편번호 has 103 (3.7%) missing valuesMissing
도로명우편번호 has 2771 (100.0%) missing valuesMissing
업태구분명 has 2771 (100.0%) missing valuesMissing
좌표정보(X) has 54 (1.9%) missing valuesMissing
좌표정보(Y) has 54 (1.9%) missing valuesMissing
전화번호 is highly skewed (γ1 = 24.36554269)Skewed
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
도로명우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:13:24.424481
Analysis finished2024-05-11 06:13:25.861396
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
6110000
2771 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6110000
2nd row6110000
3rd row6110000
4th row6110000
5th row6110000

Common Values

ValueCountFrequency (%)
6110000 2771
100.0%

Length

2024-05-11T15:13:25.957880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:26.123570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6110000 2771
100.0%

관리번호
Real number (ℝ)

Distinct13
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0199759 × 1019
Minimum2.008611 × 1019
Maximum2.024611 × 1019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.5 KiB
2024-05-11T15:13:26.254054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.008611 × 1019
5-th percentile2.013611 × 1019
Q12.017611 × 1019
median2.021611 × 1019
Q32.022611 × 1019
95-th percentile2.023611 × 1019
Maximum2.024611 × 1019
Range1.6 × 1017
Interquartile range (IQR)5 × 1016

Descriptive statistics

Standard deviation3.5914126 × 1016
Coefficient of variation (CV)0.0017779483
Kurtosis-0.69993892
Mean2.0199759 × 1019
Median Absolute Deviation (MAD)1 × 1016
Skewness-0.95457851
Sum5.5973531 × 1022
Variance1.2898244 × 1033
MonotonicityNot monotonic
2024-05-11T15:13:26.418027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2.0226110000301e+19 697
25.2%
2.0216110000301e+19 676
24.4%
2.0136110000301e+19 543
19.6%
2.0206110000301e+19 319
11.5%
2.0236110000301e+19 255
 
9.2%
2.0176110000301e+19 57
 
2.1%
2.0166110000301e+19 50
 
1.8%
2.0186110000301e+19 41
 
1.5%
2.0146110000301e+19 39
 
1.4%
2.0156110000301e+19 38
 
1.4%
Other values (3) 56
 
2.0%
ValueCountFrequency (%)
2.0086110000301e+19 1
 
< 0.1%
2.0136110000301e+19 543
19.6%
2.0146110000301e+19 39
 
1.4%
2.0156110000301e+19 38
 
1.4%
2.0166110000301e+19 50
 
1.8%
2.0176110000301e+19 57
 
2.1%
2.0186110000301e+19 41
 
1.5%
2.0196110000301e+19 25
 
0.9%
2.0206110000301e+19 319
11.5%
2.0216110000301e+19 676
24.4%
ValueCountFrequency (%)
2.0246110000301e+19 30
 
1.1%
2.0236110000301e+19 255
 
9.2%
2.0226110000301e+19 697
25.2%
2.0216110000301e+19 676
24.4%
2.0206110000301e+19 319
11.5%
2.0196110000301e+19 25
 
0.9%
2.0186110000301e+19 41
 
1.5%
2.0176110000301e+19 57
 
2.1%
2.0166110000301e+19 50
 
1.8%
2.0156110000301e+19 38
 
1.4%

인허가일자
Date

Distinct571
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
Minimum2008-02-25 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T15:13:26.673414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:13:26.941050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2771
Missing (%)100.0%
Memory size24.5 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
3
1623 
1
1111 
4
 
37

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1623
58.6%
1 1111
40.1%
4 37
 
1.3%

Length

2024-05-11T15:13:27.154826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:27.299237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1623
58.6%
1 1111
40.1%
4 37
 
1.3%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
폐업
1623 
영업/정상
1111 
취소/말소/만료/정지/중지
 
37

Length

Max length14
Median length2
Mean length3.3630458
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1623
58.6%
영업/정상 1111
40.1%
취소/말소/만료/정지/중지 37
 
1.3%

Length

2024-05-11T15:13:27.466246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:27.628349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1623
58.6%
영업/정상 1111
40.1%
취소/말소/만료/정지/중지 37
 
1.3%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
4
1623 
BBBB
558 
2
517 
6
 
37
1
 
36

Length

Max length4
Median length1
Mean length1.604114
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1623
58.6%
BBBB 558
 
20.1%
2 517
 
18.7%
6 37
 
1.3%
1 36
 
1.3%

Length

2024-05-11T15:13:27.838357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:28.025725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1623
58.6%
bbbb 558
 
20.1%
2 517
 
18.7%
6 37
 
1.3%
1 36
 
1.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
폐업
1623 
영업
1111 
직권말소
 
37

Length

Max length4
Median length2
Mean length2.0267052
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1623
58.6%
영업 1111
40.1%
직권말소 37
 
1.3%

Length

2024-05-11T15:13:28.222533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:28.429427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1623
58.6%
영업 1111
40.1%
직권말소 37
 
1.3%

폐업일자
Date

MISSING 

Distinct631
Distinct (%)39.0%
Missing1155
Missing (%)41.7%
Memory size21.8 KiB
Minimum2013-10-15 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T15:13:28.629823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:13:28.876013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2771
Missing (%)100.0%
Memory size24.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2771
Missing (%)100.0%
Memory size24.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2771
Missing (%)100.0%
Memory size24.5 KiB

전화번호
Real number (ℝ)

MISSING  SKEWED 

Distinct704
Distinct (%)89.6%
Missing1985
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean3.4836211 × 108
Minimum22384432
Maximum8.5061612 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.5 KiB
2024-05-11T15:13:29.066171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22384432
5-th percentile23591407
Q125250682
median29032223
Q32.2289921 × 108
95-th percentile2.6414143 × 108
Maximum8.5061612 × 1010
Range8.5039227 × 1010
Interquartile range (IQR)1.9764853 × 108

Descriptive statistics

Standard deviation3.1783512 × 109
Coefficient of variation (CV)9.1236993
Kurtosis645.18788
Mean3.4836211 × 108
Median Absolute Deviation (MAD)4788045.5
Skewness24.365543
Sum2.7381262 × 1011
Variance1.0101916 × 1019
MonotonicityNot monotonic
2024-05-11T15:13:29.499952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
222856401 3
 
0.1%
226118171 3
 
0.1%
29387647 3
 
0.1%
23065258 3
 
0.1%
222927300 3
 
0.1%
269251400 3
 
0.1%
28332138 3
 
0.1%
215887979 3
 
0.1%
23596196 3
 
0.1%
222159896 2
 
0.1%
Other values (694) 757
 
27.3%
(Missing) 1985
71.6%
ValueCountFrequency (%)
22384432 1
 
< 0.1%
23020999 1
 
< 0.1%
23034810 1
 
< 0.1%
23035202 2
0.1%
23054112 1
 
< 0.1%
23055249 1
 
< 0.1%
23063795 1
 
< 0.1%
23065258 3
0.1%
23067410 1
 
< 0.1%
23077014 1
 
< 0.1%
ValueCountFrequency (%)
85061611628 1
< 0.1%
7087116586 1
< 0.1%
7086664781 1
< 0.1%
7082783359 1
< 0.1%
7081536525 1
< 0.1%
7077681008 1
< 0.1%
7077655220 1
< 0.1%
7077435485 1
< 0.1%
7075182389 1
< 0.1%
7049431246 1
< 0.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2771
Missing (%)100.0%
Memory size24.5 KiB

소재지우편번호
Text

MISSING 

Distinct1937
Distinct (%)72.6%
Missing103
Missing (%)3.7%
Memory size21.8 KiB
2024-05-11T15:13:29.936592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1870315
Min length5

Characters and Unicode

Total characters13839
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

Unique1424 ?
Unique (%)53.4%

Sample

1st row02591
2nd row01455
3rd row08575
4th row06607
5th row06524
ValueCountFrequency (%)
151050 12
 
0.4%
157836 7
 
0.3%
151015 7
 
0.3%
157010 6
 
0.2%
07803 6
 
0.2%
100819 6
 
0.2%
06374 5
 
0.2%
08357 5
 
0.2%
05698 5
 
0.2%
05600 5
 
0.2%
Other values (1927) 2604
97.6%
2024-05-11T15:13:30.670727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3221
23.3%
1 1470
10.6%
8 1295
9.4%
5 1290
9.3%
3 1278
 
9.2%
7 1270
 
9.2%
6 1179
 
8.5%
2 1167
 
8.4%
4 954
 
6.9%
9 676
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13800
99.7%
Dash Punctuation 39
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3221
23.3%
1 1470
10.7%
8 1295
9.4%
5 1290
9.3%
3 1278
 
9.3%
7 1270
 
9.2%
6 1179
 
8.5%
2 1167
 
8.5%
4 954
 
6.9%
9 676
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13839
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3221
23.3%
1 1470
10.6%
8 1295
9.4%
5 1290
9.3%
3 1278
 
9.2%
7 1270
 
9.2%
6 1179
 
8.5%
2 1167
 
8.4%
4 954
 
6.9%
9 676
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13839
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3221
23.3%
1 1470
10.6%
8 1295
9.4%
5 1290
9.3%
3 1278
 
9.2%
7 1270
 
9.2%
6 1179
 
8.5%
2 1167
 
8.4%
4 954
 
6.9%
9 676
 
4.9%

지번주소
Text

Distinct2213
Distinct (%)79.9%
Missing3
Missing (%)0.1%
Memory size21.8 KiB
2024-05-11T15:13:31.098366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length28.719292
Min length1

Characters and Unicode

Total characters79495
Distinct characters492
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1901 ?
Unique (%)68.7%

Sample

1st row서울특별시 동대문구 전농동 ***번지 *호 동아아파트
2nd row서울특별시 도봉구 창동 ***번지 **호
3rd row서울특별시 금천구 시흥동 ***번지 **호
4th row서울특별시 서초구 서초동 ****번지 *호 서초크로바타워
5th row서울특별시 서초구 잠원동 **번지 **호 잠원동K-TOWER
ValueCountFrequency (%)
호 2955
18.7%
번지 2739
17.3%
서울특별시 2731
17.3%
송파구 221
 
1.4%
강서구 196
 
1.2%
강남구 192
 
1.2%
구로구 161
 
1.0%
강동구 152
 
1.0%
노원구 132
 
0.8%
양천구 130
 
0.8%
Other values (1635) 6179
39.1%
2024-05-11T15:13:31.708632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16599
20.9%
* 13432
16.9%
동 3376
 
4.2%
서 3220
 
4.1%
호 3058
 
3.8%
구 3002
 
3.8%
지 2960
 
3.7%
시 2841
 
3.6%
번 2770
 
3.5%
울 2743
 
3.5%
Other values (482) 25494
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49171
61.9%
Space Separator 16599
 
20.9%
Other Punctuation 13450
 
16.9%
Uppercase Letter 185
 
0.2%
Lowercase Letter 34
 
< 0.1%
Decimal Number 27
 
< 0.1%
Dash Punctuation 14
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3376
 
6.9%
서 3220
 
6.5%
호 3058
 
6.2%
구 3002
 
6.1%
지 2960
 
6.0%
시 2841
 
5.8%
번 2770
 
5.6%
울 2743
 
5.6%
별 2732
 
5.6%
특 2731
 
5.6%
Other values (427) 19738
40.1%
Uppercase Letter
ValueCountFrequency (%)
B 20
 
10.8%
A 17
 
9.2%
L 15
 
8.1%
S 15
 
8.1%
E 11
 
5.9%
C 11
 
5.9%
K 11
 
5.9%
T 10
 
5.4%
I 10
 
5.4%
G 10
 
5.4%
Other values (13) 55
29.7%
Lowercase Letter
ValueCountFrequency (%)
e 16
47.1%
i 5
 
14.7%
l 2
 
5.9%
s 2
 
5.9%
n 2
 
5.9%
w 1
 
2.9%
t 1
 
2.9%
v 1
 
2.9%
r 1
 
2.9%
k 1
 
2.9%
Other values (2) 2
 
5.9%
Decimal Number
ValueCountFrequency (%)
8 5
18.5%
2 5
18.5%
6 4
14.8%
1 4
14.8%
3 3
11.1%
4 3
11.1%
0 1
 
3.7%
5 1
 
3.7%
7 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
* 13432
99.9%
, 12
 
0.1%
. 3
 
< 0.1%
& 2
 
< 0.1%
/ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
16599
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49170
61.9%
Common 30102
37.9%
Latin 222
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3376
 
6.9%
서 3220
 
6.5%
호 3058
 
6.2%
구 3002
 
6.1%
지 2960
 
6.0%
시 2841
 
5.8%
번 2770
 
5.6%
울 2743
 
5.6%
별 2732
 
5.6%
특 2731
 
5.6%
Other values (426) 19737
40.1%
Latin
ValueCountFrequency (%)
B 20
 
9.0%
A 17
 
7.7%
e 16
 
7.2%
L 15
 
6.8%
S 15
 
6.8%
E 11
 
5.0%
C 11
 
5.0%
K 11
 
5.0%
T 10
 
4.5%
I 10
 
4.5%
Other values (27) 86
38.7%
Common
ValueCountFrequency (%)
16599
55.1%
* 13432
44.6%
- 14
 
< 0.1%
, 12
 
< 0.1%
) 6
 
< 0.1%
( 6
 
< 0.1%
8 5
 
< 0.1%
2 5
 
< 0.1%
6 4
 
< 0.1%
1 4
 
< 0.1%
Other values (8) 15
 
< 0.1%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49170
61.9%
ASCII 30321
38.1%
Number Forms 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16599
54.7%
* 13432
44.3%
B 20
 
0.1%
A 17
 
0.1%
e 16
 
0.1%
L 15
 
< 0.1%
S 15
 
< 0.1%
- 14
 
< 0.1%
, 12
 
< 0.1%
E 11
 
< 0.1%
Other values (43) 170
 
0.6%
Hangul
ValueCountFrequency (%)
동 3376
 
6.9%
서 3220
 
6.5%
호 3058
 
6.2%
구 3002
 
6.1%
지 2960
 
6.0%
시 2841
 
5.8%
번 2770
 
5.6%
울 2743
 
5.6%
별 2732
 
5.6%
특 2731
 
5.6%
Other values (426) 19737
40.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
CJK
ValueCountFrequency (%)
家 1
100.0%

도로명주소
Text

Distinct2608
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
2024-05-11T15:13:32.232715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length49
Mean length36.232768
Min length21

Characters and Unicode

Total characters100401
Distinct characters543
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2467 ?
Unique (%)89.0%

Sample

1st row서울특별시 동대문구 서울시립대로 **, ***동상가동 ***호(전농동, 동아아파트)
2nd row서울특별시 도봉구 도봉로***바길 **, ***호(창동)
3rd row서울특별시 금천구 탑골로 **-*, ***호(시흥동)
4th row서울특별시 서초구 서초대로 ***, 서초크로바타워 *층(서초동)
5th row서울특별시 서초구 강남대로 ***, 잠원동K-TOWER **층(잠원동)
ValueCountFrequency (%)
서울특별시 2756
 
15.6%
2658
 
15.0%
호 789
 
4.5%
층 716
 
4.0%
동 612
 
3.5%
송파구 221
 
1.2%
강서구 195
 
1.1%
강남구 191
 
1.1%
구로구 163
 
0.9%
강동구 155
 
0.9%
Other values (3017) 9243
52.2%
2024-05-11T15:13:32.911115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 18803
18.7%
14928
 
14.9%
동 4342
 
4.3%
, 3823
 
3.8%
서 3370
 
3.4%
구 3070
 
3.1%
로 3020
 
3.0%
시 2899
 
2.9%
) 2780
 
2.8%
( 2780
 
2.8%
Other values (533) 40586
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56330
56.1%
Other Punctuation 22633
22.5%
Space Separator 14928
 
14.9%
Close Punctuation 2780
 
2.8%
Open Punctuation 2780
 
2.8%
Dash Punctuation 576
 
0.6%
Uppercase Letter 264
 
0.3%
Lowercase Letter 65
 
0.1%
Decimal Number 39
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4342
 
7.7%
서 3370
 
6.0%
구 3070
 
5.5%
로 3020
 
5.4%
시 2899
 
5.1%
울 2779
 
4.9%
별 2757
 
4.9%
특 2756
 
4.9%
호 2056
 
3.6%
길 1687
 
3.0%
Other values (471) 27594
49.0%
Uppercase Letter
ValueCountFrequency (%)
B 52
19.7%
A 49
18.6%
C 18
 
6.8%
S 15
 
5.7%
L 15
 
5.7%
E 13
 
4.9%
K 11
 
4.2%
G 11
 
4.2%
D 10
 
3.8%
I 10
 
3.8%
Other values (14) 60
22.7%
Lowercase Letter
ValueCountFrequency (%)
b 25
38.5%
e 17
26.2%
i 5
 
7.7%
c 3
 
4.6%
l 2
 
3.1%
a 2
 
3.1%
s 2
 
3.1%
n 2
 
3.1%
w 1
 
1.5%
t 1
 
1.5%
Other values (5) 5
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 11
28.2%
0 8
20.5%
2 6
15.4%
3 5
12.8%
6 3
 
7.7%
8 2
 
5.1%
9 1
 
2.6%
7 1
 
2.6%
4 1
 
2.6%
5 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
* 18803
83.1%
, 3823
 
16.9%
. 3
 
< 0.1%
& 2
 
< 0.1%
@ 1
 
< 0.1%
/ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
14928
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2780
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2780
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 576
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56329
56.1%
Common 43739
43.6%
Latin 332
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4342
 
7.7%
서 3370
 
6.0%
구 3070
 
5.5%
로 3020
 
5.4%
시 2899
 
5.1%
울 2779
 
4.9%
별 2757
 
4.9%
특 2756
 
4.9%
호 2056
 
3.6%
길 1687
 
3.0%
Other values (470) 27593
49.0%
Latin
ValueCountFrequency (%)
B 52
15.7%
A 49
14.8%
b 25
 
7.5%
C 18
 
5.4%
e 17
 
5.1%
S 15
 
4.5%
L 15
 
4.5%
E 13
 
3.9%
K 11
 
3.3%
G 11
 
3.3%
Other values (31) 106
31.9%
Common
ValueCountFrequency (%)
* 18803
43.0%
14928
34.1%
, 3823
 
8.7%
) 2780
 
6.4%
( 2780
 
6.4%
- 576
 
1.3%
1 11
 
< 0.1%
0 8
 
< 0.1%
2 6
 
< 0.1%
3 5
 
< 0.1%
Other values (11) 19
 
< 0.1%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56328
56.1%
ASCII 44068
43.9%
Number Forms 3
 
< 0.1%
CJK 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 18803
42.7%
14928
33.9%
, 3823
 
8.7%
) 2780
 
6.3%
( 2780
 
6.3%
- 576
 
1.3%
B 52
 
0.1%
A 49
 
0.1%
b 25
 
0.1%
C 18
 
< 0.1%
Other values (50) 234
 
0.5%
Hangul
ValueCountFrequency (%)
동 4342
 
7.7%
서 3370
 
6.0%
구 3070
 
5.5%
로 3020
 
5.4%
시 2899
 
5.1%
울 2779
 
4.9%
별 2757
 
4.9%
특 2756
 
4.9%
호 2056
 
3.7%
길 1687
 
3.0%
Other values (469) 27592
49.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
CJK
ValueCountFrequency (%)
家 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2771
Missing (%)100.0%
Memory size24.5 KiB

사업장명
Text

Distinct2602
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
2024-05-11T15:13:33.254221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length24
Mean length7.7831108
Min length2

Characters and Unicode

Total characters21567
Distinct characters639
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2487 ?
Unique (%)89.8%

Sample

1st row퓨어인셀덤
2nd row네츄럴초이스
3rd row미지 인셀덤
4th row(주)리엔케이퍼스트맴버쉽
5th row(주)올빛퍼스트라운지
ValueCountFrequency (%)
인셀덤 950
 
20.8%
대리점 79
 
1.7%
마임 72
 
1.6%
오휘 39
 
0.9%
아모레퍼시픽 38
 
0.8%
아모레 35
 
0.8%
김정문알로에 26
 
0.6%
유니베라 23
 
0.5%
알즈너 22
 
0.5%
뷰티 22
 
0.5%
Other values (2663) 3272
71.5%
2024-05-11T15:13:33.829817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1819
 
8.4%
인 1429
 
6.6%
셀 1370
 
6.4%
덤 1351
 
6.3%
점 692
 
3.2%
리 576
 
2.7%
대 368
 
1.7%
지 362
 
1.7%
이 353
 
1.6%
사 323
 
1.5%
Other values (629) 12924
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17979
83.4%
Space Separator 1819
 
8.4%
Lowercase Letter 574
 
2.7%
Uppercase Letter 454
 
2.1%
Open Punctuation 284
 
1.3%
Close Punctuation 280
 
1.3%
Decimal Number 116
 
0.5%
Other Punctuation 46
 
0.2%
Dash Punctuation 13
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 1429
 
7.9%
셀 1370
 
7.6%
덤 1351
 
7.5%
점 692
 
3.8%
리 576
 
3.2%
대 368
 
2.0%
지 362
 
2.0%
이 353
 
2.0%
사 323
 
1.8%
스 300
 
1.7%
Other values (554) 10855
60.4%
Lowercase Letter
ValueCountFrequency (%)
e 72
12.5%
a 70
12.2%
n 65
11.3%
o 53
 
9.2%
i 40
 
7.0%
l 32
 
5.6%
r 28
 
4.9%
t 26
 
4.5%
u 24
 
4.2%
s 22
 
3.8%
Other values (15) 142
24.7%
Uppercase Letter
ValueCountFrequency (%)
S 40
 
8.8%
E 34
 
7.5%
I 29
 
6.4%
R 29
 
6.4%
M 29
 
6.4%
O 28
 
6.2%
N 26
 
5.7%
L 24
 
5.3%
B 24
 
5.3%
G 21
 
4.6%
Other values (15) 170
37.4%
Decimal Number
ValueCountFrequency (%)
1 24
20.7%
2 18
15.5%
0 16
13.8%
3 12
10.3%
4 11
9.5%
9 9
 
7.8%
7 8
 
6.9%
5 8
 
6.9%
8 5
 
4.3%
6 5
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 17
37.0%
& 15
32.6%
; 4
 
8.7%
# 4
 
8.7%
, 2
 
4.3%
' 1
 
2.2%
? 1
 
2.2%
/ 1
 
2.2%
: 1
 
2.2%
Space Separator
ValueCountFrequency (%)
1819
100.0%
Open Punctuation
ValueCountFrequency (%)
( 284
100.0%
Close Punctuation
ValueCountFrequency (%)
) 280
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17974
83.3%
Common 2559
 
11.9%
Latin 1028
 
4.8%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 1429
 
8.0%
셀 1370
 
7.6%
덤 1351
 
7.5%
점 692
 
3.9%
리 576
 
3.2%
대 368
 
2.0%
지 362
 
2.0%
이 353
 
2.0%
사 323
 
1.8%
스 300
 
1.7%
Other values (549) 10850
60.4%
Latin
ValueCountFrequency (%)
e 72
 
7.0%
a 70
 
6.8%
n 65
 
6.3%
o 53
 
5.2%
i 40
 
3.9%
S 40
 
3.9%
E 34
 
3.3%
l 32
 
3.1%
I 29
 
2.8%
R 29
 
2.8%
Other values (40) 564
54.9%
Common
ValueCountFrequency (%)
1819
71.1%
( 284
 
11.1%
) 280
 
10.9%
1 24
 
0.9%
2 18
 
0.7%
. 17
 
0.7%
0 16
 
0.6%
& 15
 
0.6%
- 13
 
0.5%
3 12
 
0.5%
Other values (14) 61
 
2.4%
Han
ValueCountFrequency (%)
松 1
16.7%
睿 1
16.7%
珍 1
16.7%
美 1
16.7%
富 1
16.7%
樂 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17973
83.3%
ASCII 3587
 
16.6%
CJK 5
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1819
50.7%
( 284
 
7.9%
) 280
 
7.8%
e 72
 
2.0%
a 70
 
2.0%
n 65
 
1.8%
o 53
 
1.5%
i 40
 
1.1%
S 40
 
1.1%
E 34
 
0.9%
Other values (64) 830
23.1%
Hangul
ValueCountFrequency (%)
인 1429
 
8.0%
셀 1370
 
7.6%
덤 1351
 
7.5%
점 692
 
3.9%
리 576
 
3.2%
대 368
 
2.0%
지 362
 
2.0%
이 353
 
2.0%
사 323
 
1.8%
스 300
 
1.7%
Other values (548) 10849
60.4%
CJK
ValueCountFrequency (%)
松 1
20.0%
睿 1
20.0%
珍 1
20.0%
美 1
20.0%
富 1
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

Distinct707
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
Minimum2017-06-14 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T15:13:34.040408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:13:34.264561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
U
1690 
I
1081 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 1690
61.0%
I 1081
39.0%

Length

2024-05-11T15:13:34.468429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:34.646678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 1690
61.0%
i 1081
39.0%

데이터갱신일자
Date

Distinct543
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T15:13:34.805868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:13:35.006363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2771
Missing (%)100.0%
Memory size24.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2392
Distinct (%)88.0%
Missing54
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean199177.8
Minimum169334.28
Maximum413603.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.5 KiB
2024-05-11T15:13:35.246808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169334.28
5-th percentile185895.09
Q1191752.88
median200869.8
Q3205764.67
95-th percentile211824.94
Maximum413603.01
Range244268.73
Interquartile range (IQR)14011.794

Descriptive statistics

Standard deviation9645.2096
Coefficient of variation (CV)0.048425123
Kurtosis93.023028
Mean199177.8
Median Absolute Deviation (MAD)6971.1059
Skewness4.4908016
Sum5.4116608 × 108
Variance93030068
MonotonicityNot monotonic
2024-05-11T15:13:35.484135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185660.257930646 5
 
0.2%
187796.044113348 5
 
0.2%
200247.445072989 5
 
0.2%
189202.181652324 4
 
0.1%
211317.695 4
 
0.1%
205668.475124572 4
 
0.1%
201341.792321443 4
 
0.1%
207125.178244289 4
 
0.1%
205644.260618089 4
 
0.1%
204433.34140241 4
 
0.1%
Other values (2382) 2674
96.5%
(Missing) 54
 
1.9%
ValueCountFrequency (%)
169334.284837666 1
< 0.1%
175932.105189782 1
< 0.1%
182742.537963411 1
< 0.1%
182821.622803946 1
< 0.1%
182874.245118806 1
< 0.1%
183033.878625562 1
< 0.1%
183035.019284719 1
< 0.1%
183181.416072849 2
0.1%
183205.624920183 1
< 0.1%
183228.13087206 1
< 0.1%
ValueCountFrequency (%)
413603.012106708 1
< 0.1%
297090.645029236 1
< 0.1%
261054.075968 1
< 0.1%
239458.298957893 1
< 0.1%
238336.24033 1
< 0.1%
235330.039268918 1
< 0.1%
215875.024969 2
0.1%
215728.497758 1
< 0.1%
215527.721278 1
< 0.1%
215505.695374616 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2392
Distinct (%)88.0%
Missing54
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean448707.44
Minimum139956.2
Maximum465025.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.5 KiB
2024-05-11T15:13:35.677299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum139956.2
5-th percentile441688.16
Q1444378.71
median448400.24
Q3452777.06
95-th percentile460517.16
Maximum465025.25
Range325069.05
Interquartile range (IQR)8398.3513

Descriptive statistics

Standard deviation11523.52
Coefficient of variation (CV)0.025681588
Kurtosis361.70196
Mean448707.44
Median Absolute Deviation (MAD)4190.3653
Skewness-15.824586
Sum1.2191381 × 109
Variance1.3279151 × 108
MonotonicityNot monotonic
2024-05-11T15:13:35.914483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451352.512042888 5
 
0.2%
443272.138070395 5
 
0.2%
449938.545640651 5
 
0.2%
444884.617513 4
 
0.1%
444580.47 4
 
0.1%
445763.360184076 4
 
0.1%
442562.722742062 4
 
0.1%
452777.056578271 4
 
0.1%
451246.571908878 4
 
0.1%
461270.63619789 4
 
0.1%
Other values (2382) 2674
96.5%
(Missing) 54
 
1.9%
ValueCountFrequency (%)
139956.196055 1
< 0.1%
174099.981939675 1
< 0.1%
259285.562102 1
< 0.1%
285385.145145966 1
< 0.1%
312721.121097 1
< 0.1%
316609.9257709 1
< 0.1%
420004.557988927 1
< 0.1%
436968.827045316 1
< 0.1%
437673.251025348 1
< 0.1%
438405.975039186 1
< 0.1%
ValueCountFrequency (%)
465025.246646886 2
0.1%
464814.717432497 1
< 0.1%
464479.431793856 1
< 0.1%
464346.663669239 1
< 0.1%
464346.259785555 1
< 0.1%
464055.633691599 2
0.1%
463982.914952977 1
< 0.1%
463928.107318353 1
< 0.1%
463887.942604325 1
< 0.1%
463856.868320862 1
< 0.1%

업종구분명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
<NA>
1796 
후원방문판매업
975 

Length

Max length7
Median length4
Mean length5.0555756
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1796
64.8%
후원방문판매업 975
35.2%

Length

2024-05-11T15:13:36.168388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:36.333003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1796
64.8%
후원방문판매업 975
35.2%

자본금의규모
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
<NA>
1796 
0
975 

Length

Max length4
Median length4
Mean length2.9444244
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1796
64.8%
0 975
35.2%

Length

2024-05-11T15:13:36.494120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:36.646740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1796
64.8%
0 975
35.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명자본금의규모
06110000202261100003010006682022-12-12<NA>1영업/정상2영업<NA><NA><NA><NA><NA><NA>02591서울특별시 동대문구 전농동 ***번지 *호 동아아파트서울특별시 동대문구 서울시립대로 **, ***동상가동 ***호(전농동, 동아아파트)<NA>퓨어인셀덤2023-02-28 00:00:00U2022-12-03 00:03:00.0<NA>204228.169547452253.077582<NA><NA>
16110000202261100003010003002022-05-20<NA>1영업/정상2영업<NA><NA><NA><NA><NA><NA>01455서울특별시 도봉구 창동 ***번지 **호서울특별시 도봉구 도봉로***바길 **, ***호(창동)<NA>네츄럴초이스2023-02-28 00:00:00U2022-12-03 00:03:00.0<NA>203827.946518464479.431794<NA><NA>
26110000202361100003010000302023-01-13<NA>1영업/정상2영업<NA><NA><NA><NA><NA><NA>08575서울특별시 금천구 시흥동 ***번지 **호서울특별시 금천구 탑골로 **-*, ***호(시흥동)<NA>미지 인셀덤2023-03-02 00:00:00U2022-12-04 22:06:00.0<NA>192355.210266438902.80151<NA><NA>
36110000202261100003010004732022-09-06<NA>3폐업4폐업2023-04-30<NA><NA><NA><NA><NA>06607서울특별시 서초구 서초동 ****번지 *호 서초크로바타워서울특별시 서초구 서초대로 ***, 서초크로바타워 *층(서초동)<NA>(주)리엔케이퍼스트맴버쉽2023-05-24 00:00:00U2022-12-04 22:07:00.0<NA>201630.770264443716.228039<NA><NA>
46110000202261100003010004712022-09-05<NA>3폐업4폐업2023-04-30<NA><NA><NA>25484212<NA>06524서울특별시 서초구 잠원동 **번지 **호 잠원동K-TOWER서울특별시 서초구 강남대로 ***, 잠원동K-TOWER **층(잠원동)<NA>(주)올빛퍼스트라운지2023-05-24 00:00:00U2022-12-04 22:07:00.0<NA>201591.166842446100.917106<NA><NA>
56110000202161100003010004122021-10-20<NA>1영업/정상2영업<NA><NA><NA><NA><NA><NA>01353서울특별시 도봉구 방학동 ***번지 *호서울특별시 도봉구 도당로**나길 **, 지층 ***호 (방학동)<NA>인셀덤리치2023-05-24 00:00:00U2022-12-04 22:07:00.0<NA>203253.306593462778.671801<NA><NA>
66110000202161100003010002942021-08-30<NA>3폐업4폐업2023-06-01<NA><NA><NA><NA><NA>05666서울특별시 송파구 송파동 ***번지 *호서울특별시 송파구 송파대로**길 **-**(송파동)<NA>인셀덤 아우토반2023-06-02 00:00:00U2022-12-06 00:05:00.0<NA>209777.334471444879.345529<NA><NA>
76110000202361100003010001682023-06-07<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>05510서울특별시 송파구 신천동 *번지 **호 잠실더샵스타파크서울특별시 송파구 올림픽로**가길 **, *층 에이-***호 (신천동, 잠실 더샵스타파크)<NA>셀리진 잠실2023-06-07 00:00:00I2022-12-05 23:00:00.0<NA>208972.490842446087.944327<NA><NA>
86110000202361100003010001672023-06-07<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>04343서울특별시 용산구 이태원동 ***번지 *호 남산대림아파트서울특별시 용산구 녹사평대로 ***, ***동 ***호 (이태원동, 남산대림아파트)<NA>셀리진 영2023-06-07 00:00:00I2022-12-05 23:00:00.0<NA>198942.726413448717.203677<NA><NA>
96110000202361100003010001692023-06-07<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>06555서울특별시 서초구 방배동 ***번지 **호 보금자리서울특별시 서초구 동광로*길 **, ***호 (방배동, 보금자리)<NA>셀리진 반포2023-06-07 00:00:00I2022-12-05 23:00:00.0<NA>198507.494048443571.096157<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명자본금의규모
276161100002013611000030100015720130613<NA>3폐업4폐업20221214<NA><NA><NA>222384198<NA>100827서울특별시 중구 신당동 368번지 58호 2층서울특별시 중구 다산로 114-8, 2층동 (신당동)<NA>주단학신당점(한국화장품)2022-12-29 00:00:00U2021-11-01 21:01:00.0<NA>200875.293257450173.909408<NA><NA>
276261100002022611000030100007620220218<NA>3폐업4폐업20230102<NA><NA><NA><NA><NA>03301서울특별시 은평구 진관동 22번지 0호 은평뉴타운구파발서울특별시 은평구 진관3로 67, 911동 308호(진관동, 은평뉴타운 구파발)<NA>스완(swan)2023-01-03 00:00:00U2022-12-01 00:05:00.0<NA><NA><NA><NA><NA>
276361100002021611000030100062020211214<NA>3폐업4폐업20230102<NA><NA><NA><NA><NA>08035서울특별시 양천구 신월동 341번지 1호 길훈아파트서울특별시 양천구 지양로 101, 102동 210호(신월동, 길훈아파트)<NA>탐라대리점2023-01-03 00:00:00U2022-12-01 00:05:00.0<NA><NA><NA><NA><NA>
27646110000202361100003010000392023-01-13<NA>3폐업4폐업2023-08-04<NA><NA><NA><NA><NA>02829서울특별시 성북구 동선동*가 ***번지 *호서울특별시 성북구 동소문로**길 **, *층(동선동*가)<NA>성신여대힐링인셀덤2023-08-07 00:00:00U2022-12-08 00:09:00.0<NA>201440.369005454827.466056<NA><NA>
27656110000202361100003010000342023-01-13<NA>1영업/정상2영업<NA><NA><NA><NA><NA><NA>01375서울특별시 도봉구 쌍문동 ***번지 *호 쌍문동파라다이스빌서울특별시 도봉구 시루봉로 **, ***호 (쌍문동, 쌍문동파라다이스빌)<NA>디아망인셀덤2023-10-13 00:00:00U2022-10-30 23:05:00.0<NA>202356.243692461513.912796<NA><NA>
27666110000202361100003010000372023-01-13<NA>3폐업4폐업2023-12-29<NA><NA><NA><NA><NA>08784서울특별시 관악구 봉천동 ****번지 **호서울특별시 관악구 장군봉*길 *, *층 ***호(봉천동)<NA>비비뷰티2024-01-02 00:00:00U2023-12-01 00:04:00.0<NA>194625.632302442119.371287<NA><NA>
27676110000202361100003010000312023-01-13<NA>3폐업4폐업2023-03-20<NA><NA><NA><NA><NA>07664서울특별시 강서구 등촌동 ***번지 **호 그린빌서울특별시 강서구 공항대로**나길 **-**, ***호(등촌동, 그린빌)<NA>데일리인셀덤2023-03-22 00:00:00U2022-12-04 22:06:00.0<NA>187511.879299449874.899407<NA><NA>
27686110000202361100003010000352023-01-13<NA>3폐업4폐업2023-03-20<NA><NA><NA><NA><NA>06062서울특별시 강남구 청담동 *번지 *호 경원오피스텔서울특별시 강남구 도산대로 ***, 경원오피스텔 **층 **호(청담동)<NA>인셀덤2023-03-22 00:00:00U2022-12-04 22:06:00.0<NA>203919.495861446817.141575<NA><NA>
27696110000202361100003010000382023-01-13<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>07336서울특별시 영등포구 여의도동 **번지 *호 서울아파트서울특별시 영등포구 여의나루로 ***, *동 ***호(여의도동, 서울아파트)<NA>샤인벨인셀덤2023-01-13 00:00:00I2022-12-04 22:06:00.0<NA>193845.412705447188.268283<NA><NA>
27706110000202361100003010000402023-01-13<NA>3폐업4폐업2023-03-20<NA><NA><NA><NA><NA>03359서울특별시 은평구 불광동 **번지 **호서울특별시 은평구 연서로 ***-*, 다동 ***호(불광동)<NA>오사카인셀덤2023-03-22 00:00:00U2022-12-04 22:06:00.0<NA>193697.811192458231.594656<NA><NA>