Overview

Dataset statistics

Number of variables27
Number of observations948
Missing cells6068
Missing cells (%)23.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory211.2 KiB
Average record size in memory228.1 B

Variable types

Categorical9
Numeric4
DateTime4
Unsupported5
Text5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),업종구분명,자본금의규모
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16097/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (98.8%)Imbalance
휴업종료일자 is highly imbalanced (98.8%)Imbalance
인허가취소일자 has 948 (100.0%) missing valuesMissing
폐업일자 has 823 (86.8%) missing valuesMissing
재개업일자 has 948 (100.0%) missing valuesMissing
소재지면적 has 948 (100.0%) missing valuesMissing
소재지우편번호 has 85 (9.0%) missing valuesMissing
도로명주소 has 76 (8.0%) missing valuesMissing
도로명우편번호 has 948 (100.0%) missing valuesMissing
업태구분명 has 948 (100.0%) missing valuesMissing
좌표정보(X) has 75 (7.9%) missing valuesMissing
좌표정보(Y) has 75 (7.9%) missing valuesMissing
자본금의규모 has 190 (20.0%) missing valuesMissing
자본금의규모 is highly skewed (γ1 = 22.81203935)Skewed
인허가취소일자 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
자본금의규모 has 417 (44.0%) zerosZeros

Reproduction

Analysis started2024-04-29 18:52:10.211315
Analysis finished2024-04-29 18:52:11.211710
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
6110000
948 

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 948
100.0%

Length

2024-04-30T03:52:11.275194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:52:11.349570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6110000 948
100.0%

관리번호
Real number (ℝ)

Distinct20
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0120319 × 1019
Minimum1.995611 × 1019
Maximum2.024611 × 1019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-04-30T03:52:11.434671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.995611 × 1019
5-th percentile2.010611 × 1019
Q12.010611 × 1019
median2.010611 × 1019
Q32.010611 × 1019
95-th percentile2.019611 × 1019
Maximum2.024611 × 1019
Range2.9 × 1017
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.1631235 × 1016
Coefficient of variation (CV)0.001572104
Kurtosis4.2426584
Mean2.0120319 × 1019
Median Absolute Deviation (MAD)0
Skewness1.9020114
Sum1.9074062 × 1022
Variance1.000535 × 1033
MonotonicityNot monotonic
2024-04-30T03:52:11.545611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2.0106110000041e+19 718
75.7%
2.0136110000041e+19 32
 
3.4%
2.0156110000041e+19 24
 
2.5%
2.0146110000041e+19 24
 
2.5%
2.0126110000041e+19 24
 
2.5%
2.0176110000041e+19 19
 
2.0%
2.0216110000041e+19 18
 
1.9%
2.0166110000041e+19 18
 
1.9%
2.0186110000041e+19 17
 
1.8%
2.0196110000041e+19 13
 
1.4%
Other values (10) 41
 
4.3%
ValueCountFrequency (%)
1.9956110000041e+19 1
 
0.1%
2.0036110000041e+19 1
 
0.1%
2.0046110000041e+19 1
 
0.1%
2.0076110000041e+19 1
 
0.1%
2.0096110000041e+19 1
 
0.1%
2.0106110000041e+19 718
75.7%
2.0116110000041e+19 9
 
0.9%
2.0126110000041e+19 24
 
2.5%
2.0136110000041e+19 32
 
3.4%
2.0146110000041e+19 24
 
2.5%
ValueCountFrequency (%)
2.0246110000041e+19 1
 
0.1%
2.0236110000041e+19 10
1.1%
2.0226110000041e+19 7
 
0.7%
2.0216110000041e+19 18
1.9%
2.0206110000041e+19 9
 
0.9%
2.0196110000041e+19 13
1.4%
2.0186110000041e+19 17
1.8%
2.0176110000041e+19 19
2.0%
2.0166110000041e+19 18
1.9%
2.0156110000041e+19 24
2.5%

인허가일자
Date

Distinct724
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
Minimum1995-07-20 00:00:00
Maximum2024-01-31 00:00:00
2024-04-30T03:52:11.663202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:52:11.785278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing948
Missing (%)100.0%
Memory size8.5 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
3
444 
4
411 
1
90 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 444
46.8%
4 411
43.4%
1 90
 
9.5%
2 3
 
0.3%

Length

2024-04-30T03:52:11.879121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:52:11.952122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 444
46.8%
4 411
43.4%
1 90
 
9.5%
2 3
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
폐업
444 
취소/말소/만료/정지/중지
411 
영업/정상
90 
휴업
 
3

Length

Max length14
Median length5
Mean length7.4873418
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 444
46.8%
취소/말소/만료/정지/중지 411
43.4%
영업/정상 90
 
9.5%
휴업 3
 
0.3%

Length

2024-04-30T03:52:12.038445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:52:12.117953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 444
46.8%
취소/말소/만료/정지/중지 411
43.4%
영업/정상 90
 
9.5%
휴업 3
 
0.3%

상세영업상태코드
Categorical

Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
4
444 
6
359 
7
52 
2
 
39
BBBB
 
37
Other values (2)
 
17

Length

Max length4
Median length1
Mean length1.1170886
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBBBB
2nd row1
3rd rowBBBB
4th row1
5th row4

Common Values

ValueCountFrequency (%)
4 444
46.8%
6 359
37.9%
7 52
 
5.5%
2 39
 
4.1%
BBBB 37
 
3.9%
1 14
 
1.5%
3 3
 
0.3%

Length

2024-04-30T03:52:12.209653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:52:12.305798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 444
46.8%
6 359
37.9%
7 52
 
5.5%
2 39
 
4.1%
bbbb 37
 
3.9%
1 14
 
1.5%
3 3
 
0.3%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
폐업
444 
직권말소
359 
영업
90 
등록취소
52 
휴업
 
3

Length

Max length4
Median length2
Mean length2.8670886
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 444
46.8%
직권말소 359
37.9%
영업 90
 
9.5%
등록취소 52
 
5.5%
휴업 3
 
0.3%

Length

2024-04-30T03:52:12.406050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:52:12.509067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 444
46.8%
직권말소 359
37.9%
영업 90
 
9.5%
등록취소 52
 
5.5%
휴업 3
 
0.3%

폐업일자
Date

MISSING 

Distinct119
Distinct (%)95.2%
Missing823
Missing (%)86.8%
Memory size7.5 KiB
Minimum1997-12-04 00:00:00
Maximum2024-03-21 00:00:00
2024-04-30T03:52:12.607714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:52:12.706773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
<NA>
947 
20221231
 
1

Length

Max length8
Median length4
Mean length4.0042194
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 947
99.9%
20221231 1
 
0.1%

Length

2024-04-30T03:52:12.818365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:52:12.896857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 947
99.9%
20221231 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
<NA>
947 
20241231
 
1

Length

Max length8
Median length4
Mean length4.0042194
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 947
99.9%
20241231 1
 
0.1%

Length

2024-04-30T03:52:12.983727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:52:13.061916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 947
99.9%
20241231 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing948
Missing (%)100.0%
Memory size8.5 KiB

전화번호
Text

Distinct915
Distinct (%)96.9%
Missing4
Missing (%)0.4%
Memory size7.5 KiB
2024-04-30T03:52:13.256432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length9
Mean length9.0169492
Min length1

Characters and Unicode

Total characters8512
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique887 ?
Unique (%)94.0%

Sample

1st row0220262090
2nd row0220172305
3rd row025710113
4th row0262525200
5th row025286700
ValueCountFrequency (%)
0262525200 3
 
0.3%
024204599 2
 
0.2%
025625282 2
 
0.2%
025348484 2
 
0.2%
025225200 2
 
0.2%
025818300 2
 
0.2%
0218008563 2
 
0.2%
024670300 2
 
0.2%
024495918 2
 
0.2%
0269522338 2
 
0.2%
Other values (905) 923
97.8%
2024-04-30T03:52:13.615288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1543
18.1%
2 1427
16.8%
5 1098
12.9%
1 695
8.2%
4 691
8.1%
3 682
8.0%
8 677
8.0%
6 670
7.9%
7 566
 
6.6%
9 456
 
5.4%
Other values (3) 7
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8505
99.9%
Math Symbol 5
 
0.1%
Other Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1543
18.1%
2 1427
16.8%
5 1098
12.9%
1 695
8.2%
4 691
8.1%
3 682
8.0%
8 677
8.0%
6 670
7.9%
7 566
 
6.7%
9 456
 
5.4%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8512
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1543
18.1%
2 1427
16.8%
5 1098
12.9%
1 695
8.2%
4 691
8.1%
3 682
8.0%
8 677
8.0%
6 670
7.9%
7 566
 
6.6%
9 456
 
5.4%
Other values (3) 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8512
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1543
18.1%
2 1427
16.8%
5 1098
12.9%
1 695
8.2%
4 691
8.1%
3 682
8.0%
8 677
8.0%
6 670
7.9%
7 566
 
6.6%
9 456
 
5.4%
Other values (3) 7
 
0.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing948
Missing (%)100.0%
Memory size8.5 KiB

소재지우편번호
Text

MISSING 

Distinct424
Distinct (%)49.1%
Missing85
Missing (%)9.0%
Memory size7.5 KiB
2024-04-30T03:52:13.885208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.8922364
Min length5

Characters and Unicode

Total characters5085
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

Unique301 ?
Unique (%)34.9%

Sample

1st row08507
2nd row06187
3rd row06767
4th row06241
5th row06800
ValueCountFrequency (%)
135080 81
 
9.4%
137070 42
 
4.9%
135090 39
 
4.5%
135010 20
 
2.3%
135280 20
 
2.3%
137060 12
 
1.4%
137130 10
 
1.2%
138050 9
 
1.0%
135911 9
 
1.0%
135917 9
 
1.0%
Other values (405) 612
70.9%
2024-04-30T03:52:14.282044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1076
21.2%
0 984
19.4%
3 770
15.1%
5 563
11.1%
8 441
8.7%
7 336
 
6.6%
2 249
 
4.9%
6 229
 
4.5%
9 222
 
4.4%
4 172
 
3.4%
Other values (2) 43
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5042
99.2%
Space Separator 30
 
0.6%
Dash Punctuation 13
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1076
21.3%
0 984
19.5%
3 770
15.3%
5 563
11.2%
8 441
8.7%
7 336
 
6.7%
2 249
 
4.9%
6 229
 
4.5%
9 222
 
4.4%
4 172
 
3.4%
Space Separator
ValueCountFrequency (%)
30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5085
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1076
21.2%
0 984
19.4%
3 770
15.1%
5 563
11.1%
8 441
8.7%
7 336
 
6.6%
2 249
 
4.9%
6 229
 
4.5%
9 222
 
4.4%
4 172
 
3.4%
Other values (2) 43
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5085
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1076
21.2%
0 984
19.4%
3 770
15.1%
5 563
11.1%
8 441
8.7%
7 336
 
6.6%
2 249
 
4.9%
6 229
 
4.5%
9 222
 
4.4%
4 172
 
3.4%
Other values (2) 43
 
0.8%

지번주소
Text

Distinct928
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-04-30T03:52:14.601311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length31.198312
Min length1

Characters and Unicode

Total characters29576
Distinct characters387
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique908 ?
Unique (%)95.8%

Sample

1st row서울특별시 금천구 가산동 371번지 28호 우림라이온스밸리
2nd row서울특별시 강남구 대치동 967번지 3호 KM빌딩
3rd row서울특별시 서초구 우면동 761번지 0호 연우빌딩
4th row서울특별시 강남구 역삼동 826번지 14호 강남358타워
5th row서울특별시 서초구 내곡동 376번지 0호 서울영동농협종합시설
ValueCountFrequency (%)
서울특별시 947
 
16.4%
강남구 463
 
8.0%
역삼동 238
 
4.1%
서초구 174
 
3.0%
1호 92
 
1.6%
서초동 85
 
1.5%
삼성동 75
 
1.3%
송파구 66
 
1.1%
대치동 65
 
1.1%
3호 58
 
1.0%
Other values (1453) 3524
60.9%
2024-04-30T03:52:15.041694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6892
23.3%
서 1262
 
4.3%
동 1085
 
3.7%
호 1026
 
3.5%
지 988
 
3.3%
구 982
 
3.3%
1 973
 
3.3%
울 957
 
3.2%
시 957
 
3.2%
별 951
 
3.2%
Other values (377) 13503
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17315
58.5%
Space Separator 6892
 
23.3%
Decimal Number 5221
 
17.7%
Uppercase Letter 93
 
0.3%
Other Punctuation 20
 
0.1%
Lowercase Letter 19
 
0.1%
Dash Punctuation 11
 
< 0.1%
Math Symbol 3
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1262
 
7.3%
동 1085
 
6.3%
호 1026
 
5.9%
지 988
 
5.7%
구 982
 
5.7%
울 957
 
5.5%
시 957
 
5.5%
별 951
 
5.5%
번 948
 
5.5%
특 947
 
5.5%
Other values (330) 7212
41.7%
Uppercase Letter
ValueCountFrequency (%)
E 9
9.7%
A 9
9.7%
T 9
9.7%
K 7
 
7.5%
R 7
 
7.5%
B 7
 
7.5%
G 7
 
7.5%
O 6
 
6.5%
W 5
 
5.4%
H 5
 
5.4%
Other values (11) 22
23.7%
Decimal Number
ValueCountFrequency (%)
1 973
18.6%
2 675
12.9%
3 579
11.1%
4 555
10.6%
6 468
9.0%
0 432
8.3%
7 421
8.1%
5 414
7.9%
8 389
 
7.5%
9 315
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
o 4
21.1%
r 2
10.5%
e 2
10.5%
w 2
10.5%
n 2
10.5%
a 2
10.5%
l 2
10.5%
k 1
 
5.3%
s 1
 
5.3%
b 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 19
95.0%
/ 1
 
5.0%
Space Separator
ValueCountFrequency (%)
6892
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17315
58.5%
Common 12147
41.1%
Latin 114
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1262
 
7.3%
동 1085
 
6.3%
호 1026
 
5.9%
지 988
 
5.7%
구 982
 
5.7%
울 957
 
5.5%
시 957
 
5.5%
별 951
 
5.5%
번 948
 
5.5%
특 947
 
5.5%
Other values (330) 7212
41.7%
Latin
ValueCountFrequency (%)
E 9
 
7.9%
A 9
 
7.9%
T 9
 
7.9%
K 7
 
6.1%
R 7
 
6.1%
B 7
 
6.1%
G 7
 
6.1%
O 6
 
5.3%
W 5
 
4.4%
H 5
 
4.4%
Other values (22) 43
37.7%
Common
ValueCountFrequency (%)
6892
56.7%
1 973
 
8.0%
2 675
 
5.6%
3 579
 
4.8%
4 555
 
4.6%
6 468
 
3.9%
0 432
 
3.6%
7 421
 
3.5%
5 414
 
3.4%
8 389
 
3.2%
Other values (5) 349
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17315
58.5%
ASCII 12259
41.4%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6892
56.2%
1 973
 
7.9%
2 675
 
5.5%
3 579
 
4.7%
4 555
 
4.5%
6 468
 
3.8%
0 432
 
3.5%
7 421
 
3.4%
5 414
 
3.4%
8 389
 
3.2%
Other values (36) 461
 
3.8%
Hangul
ValueCountFrequency (%)
서 1262
 
7.3%
동 1085
 
6.3%
호 1026
 
5.9%
지 988
 
5.7%
구 982
 
5.7%
울 957
 
5.5%
시 957
 
5.5%
별 951
 
5.5%
번 948
 
5.5%
특 947
 
5.5%
Other values (330) 7212
41.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명주소
Text

MISSING 

Distinct861
Distinct (%)98.7%
Missing76
Missing (%)8.0%
Memory size7.5 KiB
2024-04-30T03:52:15.312604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length45
Mean length33.057339
Min length22

Characters and Unicode

Total characters28826
Distinct characters409
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique850 ?
Unique (%)97.5%

Sample

1st row서울특별시 금천구 가산디지털1로 168, 우림라이온스밸리 C동 806호 (가산동)
2nd row서울특별시 강남구 역삼로 552, KM빌딩 5층 (대치동)
3rd row서울특별시 서초구 양재대로2길 100-30, 연우빌딩 3층 201호(우면동)
4th row서울특별시 강남구 강남대로 358, 강남358타워 9층(역삼동)
5th row서울특별시 서초구 헌릉로 176, 서울영동농협종합시설 601호(내곡동)
ValueCountFrequency (%)
서울특별시 872
 
16.4%
강남구 450
 
8.5%
304
 
5.7%
서초구 157
 
3.0%
테헤란로 101
 
1.9%
3층 65
 
1.2%
2층 64
 
1.2%
역삼동 64
 
1.2%
송파구 62
 
1.2%
5층 43
 
0.8%
Other values (1622) 3120
58.8%
2024-04-30T03:52:15.727487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4500
 
15.6%
서 1195
 
4.1%
동 1055
 
3.7%
구 910
 
3.2%
로 906
 
3.1%
, 906
 
3.1%
시 884
 
3.1%
울 882
 
3.1%
별 873
 
3.0%
특 872
 
3.0%
Other values (399) 15843
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17260
59.9%
Space Separator 4500
 
15.6%
Decimal Number 4224
 
14.7%
Other Punctuation 907
 
3.1%
Close Punctuation 872
 
3.0%
Open Punctuation 872
 
3.0%
Uppercase Letter 98
 
0.3%
Dash Punctuation 68
 
0.2%
Lowercase Letter 19
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1195
 
6.9%
동 1055
 
6.1%
구 910
 
5.3%
로 906
 
5.2%
시 884
 
5.1%
울 882
 
5.1%
별 873
 
5.1%
특 872
 
5.1%
남 578
 
3.3%
강 564
 
3.3%
Other values (350) 8541
49.5%
Uppercase Letter
ValueCountFrequency (%)
A 10
10.2%
T 9
 
9.2%
E 9
 
9.2%
G 8
 
8.2%
R 7
 
7.1%
K 7
 
7.1%
B 7
 
7.1%
H 6
 
6.1%
O 6
 
6.1%
W 5
 
5.1%
Other values (11) 24
24.5%
Decimal Number
ValueCountFrequency (%)
1 796
18.8%
2 679
16.1%
3 543
12.9%
0 392
9.3%
4 389
9.2%
5 387
9.2%
6 310
 
7.3%
7 265
 
6.3%
8 255
 
6.0%
9 208
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
o 4
21.1%
l 2
10.5%
w 2
10.5%
e 2
10.5%
r 2
10.5%
n 2
10.5%
a 2
10.5%
s 1
 
5.3%
k 1
 
5.3%
b 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 906
99.9%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
4500
100.0%
Close Punctuation
ValueCountFrequency (%)
) 872
100.0%
Open Punctuation
ValueCountFrequency (%)
( 872
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17260
59.9%
Common 11447
39.7%
Latin 119
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1195
 
6.9%
동 1055
 
6.1%
구 910
 
5.3%
로 906
 
5.2%
시 884
 
5.1%
울 882
 
5.1%
별 873
 
5.1%
특 872
 
5.1%
남 578
 
3.3%
강 564
 
3.3%
Other values (350) 8541
49.5%
Latin
ValueCountFrequency (%)
A 10
 
8.4%
T 9
 
7.6%
E 9
 
7.6%
G 8
 
6.7%
R 7
 
5.9%
K 7
 
5.9%
B 7
 
5.9%
H 6
 
5.0%
O 6
 
5.0%
W 5
 
4.2%
Other values (22) 45
37.8%
Common
ValueCountFrequency (%)
4500
39.3%
, 906
 
7.9%
) 872
 
7.6%
( 872
 
7.6%
1 796
 
7.0%
2 679
 
5.9%
3 543
 
4.7%
0 392
 
3.4%
4 389
 
3.4%
5 387
 
3.4%
Other values (7) 1111
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17260
59.9%
ASCII 11564
40.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4500
38.9%
, 906
 
7.8%
) 872
 
7.5%
( 872
 
7.5%
1 796
 
6.9%
2 679
 
5.9%
3 543
 
4.7%
0 392
 
3.4%
4 389
 
3.4%
5 387
 
3.3%
Other values (38) 1228
 
10.6%
Hangul
ValueCountFrequency (%)
서 1195
 
6.9%
동 1055
 
6.1%
구 910
 
5.3%
로 906
 
5.2%
시 884
 
5.1%
울 882
 
5.1%
별 873
 
5.1%
특 872
 
5.1%
남 578
 
3.3%
강 564
 
3.3%
Other values (350) 8541
49.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing948
Missing (%)100.0%
Memory size8.5 KiB

사업장명
Text

Distinct940
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-04-30T03:52:15.936975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length16
Mean length7.2373418
Min length2

Characters and Unicode

Total characters6861
Distinct characters451
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique932 ?
Unique (%)98.3%

Sample

1st row다나바이오로직스 주식회사
2nd row(주)이롬플러스
3rd row(주)유니앤코어
4th row유한책임회사 매나테크코리아
5th row(주)미애부
ValueCountFrequency (%)
주식회사 55
 
5.4%
유한회사 5
 
0.5%
주 3
 
0.3%
니켄코리아㈜ 2
 
0.2%
㈜ 2
 
0.2%
게란티㈜ 2
 
0.2%
허브닥터인터내셔널 2
 
0.2%
주)세븐포인투 2
 
0.2%
신기예스 2
 
0.2%
신토불이가족 2
 
0.2%
Other values (944) 947
92.5%
2024-04-30T03:52:16.257166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 414
 
6.0%
아 280
 
4.1%
리 269
 
3.9%
스 261
 
3.8%
주 257
 
3.7%
코 218
 
3.2%
( 211
 
3.1%
) 211
 
3.1%
㈜ 207
 
3.0%
에 143
 
2.1%
Other values (441) 4390
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6126
89.3%
Open Punctuation 211
 
3.1%
Close Punctuation 211
 
3.1%
Other Symbol 207
 
3.0%
Space Separator 77
 
1.1%
Uppercase Letter 12
 
0.2%
Decimal Number 10
 
0.1%
Lowercase Letter 4
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 414
 
6.8%
아 280
 
4.6%
리 269
 
4.4%
스 261
 
4.3%
주 257
 
4.2%
코 218
 
3.6%
에 143
 
2.3%
인 126
 
2.1%
터 95
 
1.6%
드 91
 
1.5%
Other values (416) 3972
64.8%
Uppercase Letter
ValueCountFrequency (%)
L 3
25.0%
G 2
16.7%
C 2
16.7%
A 1
 
8.3%
O 1
 
8.3%
K 1
 
8.3%
P 1
 
8.3%
N 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
4 3
30.0%
9 2
20.0%
2 2
20.0%
0 1
 
10.0%
6 1
 
10.0%
1 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
25.0%
o 1
25.0%
r 1
25.0%
e 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 1
33.3%
# 1
33.3%
; 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 211
100.0%
Close Punctuation
ValueCountFrequency (%)
) 211
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 207
100.0%
Space Separator
ValueCountFrequency (%)
77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6333
92.3%
Common 512
 
7.5%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 414
 
6.5%
아 280
 
4.4%
리 269
 
4.2%
스 261
 
4.1%
주 257
 
4.1%
코 218
 
3.4%
㈜ 207
 
3.3%
에 143
 
2.3%
인 126
 
2.0%
터 95
 
1.5%
Other values (417) 4063
64.2%
Common
ValueCountFrequency (%)
( 211
41.2%
) 211
41.2%
77
 
15.0%
4 3
 
0.6%
9 2
 
0.4%
2 2
 
0.4%
& 1
 
0.2%
# 1
 
0.2%
0 1
 
0.2%
6 1
 
0.2%
Other values (2) 2
 
0.4%
Latin
ValueCountFrequency (%)
L 3
18.8%
G 2
12.5%
C 2
12.5%
A 1
 
6.2%
O 1
 
6.2%
a 1
 
6.2%
K 1
 
6.2%
o 1
 
6.2%
r 1
 
6.2%
e 1
 
6.2%
Other values (2) 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6126
89.3%
ASCII 528
 
7.7%
None 207
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 414
 
6.8%
아 280
 
4.6%
리 269
 
4.4%
스 261
 
4.3%
주 257
 
4.2%
코 218
 
3.6%
에 143
 
2.3%
인 126
 
2.1%
터 95
 
1.6%
드 91
 
1.5%
Other values (416) 3972
64.8%
ASCII
ValueCountFrequency (%)
( 211
40.0%
) 211
40.0%
77
 
14.6%
L 3
 
0.6%
4 3
 
0.6%
G 2
 
0.4%
9 2
 
0.4%
2 2
 
0.4%
C 2
 
0.4%
A 1
 
0.2%
Other values (14) 14
 
2.7%
None
ValueCountFrequency (%)
㈜ 207
100.0%

최종수정일자
Date

Distinct147
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
Minimum2017-06-13 00:00:00
Maximum2024-04-25 00:00:00
2024-04-30T03:52:16.379851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:52:16.517284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
I
727 
U
221 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 727
76.7%
U 221
 
23.3%

Length

2024-04-30T03:52:16.629246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:52:16.712280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 727
76.7%
u 221
 
23.3%

데이터갱신일자
Date

Distinct113
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T03:52:16.800178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:52:17.088740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing948
Missing (%)100.0%
Memory size8.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct717
Distinct (%)82.1%
Missing75
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean202378.91
Minimum185667.86
Maximum214136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-04-30T03:52:17.225079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185667.86
5-th percentile190996.25
Q1201350.66
median203032.25
Q3204518.88
95-th percentile209696.68
Maximum214136
Range28468.144
Interquartile range (IQR)3168.2209

Descriptive statistics

Standard deviation4759.6027
Coefficient of variation (CV)0.023518275
Kurtosis2.12096
Mean202378.91
Median Absolute Deviation (MAD)1592.515
Skewness-1.0830671
Sum1.7667678 × 108
Variance22653818
MonotonicityNot monotonic
2024-04-30T03:52:17.333891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208394.416382167 7
 
0.7%
203017.680777794 6
 
0.6%
202667.551184905 5
 
0.5%
203081.161708641 4
 
0.4%
204511.261869377 4
 
0.4%
203530.602564335 4
 
0.4%
205713.28 4
 
0.4%
202867.25 4
 
0.4%
202640.153290157 4
 
0.4%
204142.44 4
 
0.4%
Other values (707) 827
87.2%
(Missing) 75
 
7.9%
ValueCountFrequency (%)
185667.855229 1
0.1%
185728.840565108 1
0.1%
185770.955892733 1
0.1%
185787.204646142 1
0.1%
185994.964119824 1
0.1%
186270.228062703 1
0.1%
186299.74267687 1
0.1%
186456.187657133 1
0.1%
186501.233192961 1
0.1%
186823.332741331 1
0.1%
ValueCountFrequency (%)
214135.999511848 1
0.1%
212784.616145219 2
0.2%
212740.515 1
0.1%
212688.150650217 1
0.1%
212646.015216717 1
0.1%
212623.70048914 1
0.1%
212590.465473593 1
0.1%
212481.114279018 1
0.1%
212286.238530692 1
0.1%
212265.194790229 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct717
Distinct (%)82.1%
Missing75
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean445101.33
Minimum439369.98
Maximum457406.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2024-04-30T03:52:17.464194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439369.98
5-th percentile441814.44
Q1443676.31
median444622.85
Q3445737.32
95-th percentile451085.62
Maximum457406.08
Range18036.1
Interquartile range (IQR)2061.0132

Descriptive statistics

Standard deviation2575.9919
Coefficient of variation (CV)0.0057874279
Kurtosis2.3671285
Mean445101.33
Median Absolute Deviation (MAD)1015.5988
Skewness1.3905124
Sum3.8857347 × 108
Variance6635734.2
MonotonicityNot monotonic
2024-04-30T03:52:17.595078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448165.279999905 7
 
0.7%
444263.117070674 6
 
0.6%
443299.218136257 5
 
0.5%
444381.101104143 4
 
0.4%
444757.911128383 4
 
0.4%
444462.193486504 4
 
0.4%
444593.55 4
 
0.4%
443984.395 4
 
0.4%
444123.12076125 4
 
0.4%
444617.02 4
 
0.4%
Other values (707) 827
87.2%
(Missing) 75
 
7.9%
ValueCountFrequency (%)
439369.980698955 1
0.1%
439459.307260772 1
0.1%
439551.025718835 1
0.1%
440324.131733302 1
0.1%
440349.985884412 1
0.1%
440713.045996467 1
0.1%
440929.88771349 1
0.1%
440933.761770478 1
0.1%
441225.963048693 1
0.1%
441318.49334924 1
0.1%
ValueCountFrequency (%)
457406.081083339 1
 
0.1%
456897.797961872 1
 
0.1%
455496.635495371 1
 
0.1%
454247.178669814 1
 
0.1%
453577.758459286 1
 
0.1%
453238.594217594 3
0.3%
452915.127892459 1
 
0.1%
452837.196143979 1
 
0.1%
452616.543339041 1
 
0.1%
452604.254902527 1
 
0.1%

업종구분명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
다단계판매업
758 
<NA>
190 

Length

Max length6
Median length6
Mean length5.5991561
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 (%)
다단계판매업 758
80.0%
<NA> 190
 
20.0%

Length

2024-04-30T03:52:17.731321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:52:17.820986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다단계판매업 758
80.0%
na 190
 
20.0%

자본금의규모
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct83
Distinct (%)10.9%
Missing190
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean4.721721 × 108
Minimum-5.5701086 × 108
Maximum8.8589 × 1010
Zeros417
Zeros (%)44.0%
Negative1
Negative (%)0.1%
Memory size8.5 KiB
2024-04-30T03:52:17.938436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5.5701086 × 108
5-th percentile0
Q10
median0
Q35 × 108
95-th percentile1 × 109
Maximum8.8589 × 1010
Range8.9146011 × 1010
Interquartile range (IQR)5 × 108

Descriptive statistics

Standard deviation3.4686773 × 109
Coefficient of variation (CV)7.346214
Kurtosis561.4987
Mean4.721721 × 108
Median Absolute Deviation (MAD)0
Skewness22.812039
Sum3.5790645 × 1011
Variance1.2031722 × 1019
MonotonicityNot monotonic
2024-04-30T03:52:18.053228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 417
44.0%
500000000 176
18.6%
550000000 18
 
1.9%
600000000 15
 
1.6%
510000000 12
 
1.3%
520000000 11
 
1.2%
1000000000 10
 
1.1%
650000000 7
 
0.7%
700000000 6
 
0.6%
800000000 3
 
0.3%
Other values (73) 83
 
8.8%
(Missing) 190
20.0%
ValueCountFrequency (%)
-557010860 1
 
0.1%
0 417
44.0%
23207527 1
 
0.1%
275044063 1
 
0.1%
358856715 1
 
0.1%
382200890 1
 
0.1%
394722082 1
 
0.1%
500000000 176
18.6%
501000000 1
 
0.1%
502000000 1
 
0.1%
ValueCountFrequency (%)
88589000000 1
0.1%
32675999700 1
0.1%
9747000000 1
0.1%
5830000000 1
0.1%
5051922409 1
0.1%
5000000000 1
0.1%
4000000000 1
0.1%
3000000000 1
0.1%
2938222010 1
0.1%
2409000000 1
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명자본금의규모
06110000202361100000410000052023-05-25<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0220262090<NA>08507서울특별시 금천구 가산동 371번지 28호 우림라이온스밸리서울특별시 금천구 가산디지털1로 168, 우림라이온스밸리 C동 806호 (가산동)<NA>다나바이오로직스 주식회사2024-02-01 00:00:00U2023-12-02 00:03:00.0<NA>189538.020936441982.427935<NA><NA>
16110000202161100000410000022021-01-25<NA>1영업/정상1영업<NA><NA><NA><NA>0220172305<NA>06187서울특별시 강남구 대치동 967번지 3호 KM빌딩서울특별시 강남구 역삼로 552, KM빌딩 5층 (대치동)<NA>(주)이롬플러스2023-07-13 00:00:00U2022-12-06 23:05:00.0<NA>205544.515256444693.909355<NA><NA>
26110000202361100000410000022023-02-22<NA>1영업/정상BBBB영업<NA><NA><NA><NA>025710113<NA>06767서울특별시 서초구 우면동 761번지 0호 연우빌딩서울특별시 서초구 양재대로2길 100-30, 연우빌딩 3층 201호(우면동)<NA>(주)유니앤코어2023-02-22 00:00:00I2022-12-04 22:06:00.0<NA>201364.751479439459.307261<NA><NA>
36110000202361100000410000012023-01-26<NA>1영업/정상1영업<NA><NA><NA><NA>0262525200<NA>06241서울특별시 강남구 역삼동 826번지 14호 강남358타워서울특별시 강남구 강남대로 358, 강남358타워 9층(역삼동)<NA>유한책임회사 매나테크코리아2024-04-18 00:00:00U2023-12-03 22:00:00.0<NA>202557.007831443648.62254<NA><NA>
46110000202261100000410000022022-04-12<NA>3폐업4폐업2022-07-27<NA><NA><NA>025286700<NA>06800서울특별시 서초구 내곡동 376번지 0호 서울영동농협종합시설서울특별시 서초구 헌릉로 176, 서울영동농협종합시설 601호(내곡동)<NA>(주)미애부2023-01-26 00:00:00U2022-12-04 22:06:00.0<NA>205185.318388439369.980699<NA><NA>
56110000202261100000410000012022-02-18<NA>4취소/말소/만료/정지/중지6직권말소<NA><NA><NA><NA>025430124<NA>06112서울특별시 강남구 논현동 132번지 4호 도심빌딩서울특별시 강남구 학동로24길 15, 도심빌딩 2층(논현동)<NA>(주)바칸인터내셔널2023-01-26 00:00:00U2022-12-04 22:06:00.0<NA>202508.350696445560.149264<NA><NA>
66110000202361100000410000032023-04-05<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0218991430<NA>06735서울특별시 서초구 서초동 1366번지 4호 서희타워서울특별시 서초구 남부순환로 2583, 서희타워 6층 (서초동)<NA>트루비코리아 유한회사2024-04-11 00:00:00U2023-12-03 23:03:00.0<NA>202840.110303442524.346651<NA><NA>
76110000202161100000410000162021-10-26<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>06648서울특별시 서초구 서초동 1549번지 10호 서초중앙빌딩서울특별시 서초구 반포대로24길 15, 서초중앙빌딩 3층 (서초동)<NA>(주)에코프렌2023-09-01 00:00:00U2022-12-09 00:03:00.0<NA>200809.063332443054.981961<NA><NA>
86110000202361100000410000082023-11-27<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0264620022<NA>06105서울특별시 강남구 논현동 213번지 36호서울특별시 강남구 논현로128길 22-4, 2층 (논현동)<NA>주식회사 에이레벨2023-11-27 00:00:00I2022-10-31 22:09:00.0<NA>202860.656614445698.05719<NA><NA>
96110000202061100000410000062020-09-23<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0269521590<NA>06198서울특별시 강남구 대치동 897번지 28호 GlobalTakson빌딩서울특별시 강남구 테헤란로64길 24, GlobalTakson빌딩 3층(대치동)<NA>(주)바이온글로벌2023-09-13 00:00:00U2022-12-08 23:05:00.0<NA>204480.409675444568.483681<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업종구분명자본금의규모
9386110000202161100000410000182021-12-23<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0269521393<NA>06194서울특별시 강남구 대치동 891번지 44호 노벨과개미서울특별시 강남구 테헤란로78길 16, 노벨과개미 8층(대치동)<NA>(주)스테미코리아2023-12-26 00:00:00U2022-11-01 22:08:00.0<NA>204828.00255444777.618635<NA><NA>
93961100002013611000004100002720131002<NA>4취소/말소/만료/정지/중지6직권말소<NA><NA><NA><NA>025689282<NA>135925서울특별시 강남구 역삼동 746번지 피엠케이빌딩서울특별시 강남구 논현로 419, 9층 (역삼동,피엠케이빌딩)<NA>(주)지엔에스하이넷2023-01-25 00:00:00U2022-11-30 22:07:00.0<NA>203295.273321443933.553578<NA><NA>
9406110000202161100000410000172021-10-26<NA>3폐업4폐업2022-12-14<NA><NA><NA>0263878210<NA>06180서울특별시 강남구 대치동 944번지 0호 삼흥2빌딩서울특별시 강남구 테헤란로 514, 삼흥2빌딩 7층(대치동)<NA>에이피엘고코리아 유한회사(APLGO Korea LLC)2022-12-14 00:00:00U2022-12-04 22:06:00.0<NA>205214.677216445023.451397<NA><NA>
94161100002013611000004100000120130125<NA>4취소/말소/만료/정지/중지6직권말소<NA><NA><NA><NA>025087723<NA>135912서울특별시 강남구 역삼동 649번지 2호 케이앤와이하이테크빌딩 4층서울특별시 강남구 강남대로94길 34, 4층 (역삼동,케이앤와이하이테크빌딩)<NA>주식회사 도투락월드2023-01-25 00:00:00U2022-11-30 22:07:00.0<NA>202583.995444171.93<NA><NA>
94261100002012611000004100002120121107<NA>4취소/말소/만료/정지/중지6직권말소<NA><NA><NA><NA>0707101200<NA>143721서울특별시 광진구 구의동 546번지 4호 22층 사무동서울특별시 광진구 광나루로56길 85, 사무동 22층 (구의동)<NA>(주)플로우코리아2023-01-26 00:00:00U2022-11-30 22:08:00.0<NA>208394.416382448165.28<NA><NA>
9436110000201061100000410007152010-05-14<NA>1영업/정상2영업<NA><NA><NA><NA>0234680700<NA>05558서울특별시 송파구 잠실동 183번지 7호 AWTOWER서울특별시 송파구 백제고분로7길 53, AWTOWER 2층(잠실동)<NA>에이씨앤코리아 유한회사2024-03-12 00:00:00U2023-12-02 23:04:00.0<NA>207430.386103445423.301336<NA><NA>
9446110000202161100000410000132021-04-16<NA>3폐업4폐업2023-09-06<NA><NA><NA>07048801194<NA>06272서울특별시 강남구 도곡동 543번지 1호 0호서울특별시 강남구 도곡로 206, 8층(도곡동)<NA>(주)지오앤위즈2023-09-06 00:00:00U2022-12-09 00:08:00.0<NA>203615.806696443338.221811<NA><NA>
9456110000202061100000410000032020-02-28<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0220380899<NA>06129서울특별시 강남구 역삼동 817번지 29호서울특별시 강남구 테헤란로1길 28-11, 5층 5133호 (역삼동)<NA>(주)휴먼네이처코리아2024-04-03 00:00:00U2023-12-04 00:05:00.0<NA>202429.553278444261.087449<NA><NA>
9466110000201761100000410000112017-05-15<NA>3폐업4폐업2024-01-29<NA><NA><NA>07040204114<NA>07287서울특별시 영등포구 문래동4가 67번지 0호 리버뷰신안인스빌서울특별시 영등포구 경인로77길 49, 상가동 2층 201-323호 (문래동4가, 리버뷰 신안인스빌)<NA>(주)리뉴메디2024-01-30 00:00:00U2023-12-02 00:01:00.0<NA>190079.219797445778.895202<NA><NA>
9476110000201061100000410000081995-07-25<NA>1영업/정상2영업<NA><NA><NA><NA>025652161<NA>135-080서울특별시 강남구 역삼동 681번지 47호 앨트웰빌딩서울특별시 강남구 봉은사로 322 (역삼동,앨트웰빌딩)<NA>앨트웰㈜2023-09-07 00:00:00U2022-12-09 00:09:00.0<NA>203652.960949445251.842367<NA><NA>