Overview

Dataset statistics

Number of variables30
Number of observations528
Missing cells3931
Missing cells (%)24.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory132.6 KiB
Average record size in memory257.2 B

Variable types

Numeric6
DateTime4
Unsupported6
Categorical10
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),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16088/S/1/datasetView.do

Alerts

휴업시작일자 is highly imbalanced (98.0%)Imbalance
축산일련번호 is highly imbalanced (56.1%)Imbalance
총인원 is highly imbalanced (56.1%)Imbalance
인허가취소일자 has 528 (100.0%) missing valuesMissing
폐업일자 has 329 (62.3%) missing valuesMissing
휴업종료일자 has 528 (100.0%) missing valuesMissing
재개업일자 has 528 (100.0%) missing valuesMissing
전화번호 has 183 (34.7%) missing valuesMissing
소재지우편번호 has 528 (100.0%) missing valuesMissing
지번주소 has 6 (1.1%) missing valuesMissing
도로명주소 has 57 (10.8%) missing valuesMissing
도로명우편번호 has 145 (27.5%) missing valuesMissing
업태구분명 has 528 (100.0%) missing valuesMissing
좌표정보(X) has 21 (4.0%) missing valuesMissing
좌표정보(Y) has 21 (4.0%) missing valuesMissing
축산물가공업구분명 has 528 (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
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
소재지우편번호 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
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 154 (29.2%) zerosZeros

Reproduction

Analysis started2024-04-06 11:46:04.177932
Analysis finished2024-04-06 11:46:05.308397
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3145037.9
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-06T20:46:05.450301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3020000
Q13080000
median3150000
Q33210000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)130000

Descriptive statistics

Standard deviation69890.118
Coefficient of variation (CV)0.022222345
Kurtosis-0.99728803
Mean3145037.9
Median Absolute Deviation (MAD)60000
Skewness-0.43479994
Sum1.66058 × 109
Variance4.8846285 × 109
MonotonicityNot monotonic
2024-04-06T20:46:05.725862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3230000 60
 
11.4%
3150000 57
 
10.8%
3210000 46
 
8.7%
3180000 44
 
8.3%
3060000 38
 
7.2%
3140000 34
 
6.4%
3220000 25
 
4.7%
3130000 24
 
4.5%
3240000 23
 
4.4%
3160000 21
 
4.0%
Other values (15) 156
29.5%
ValueCountFrequency (%)
3000000 5
 
0.9%
3010000 18
3.4%
3020000 9
 
1.7%
3030000 9
 
1.7%
3040000 19
3.6%
3050000 17
3.2%
3060000 38
7.2%
3070000 14
 
2.7%
3080000 8
 
1.5%
3090000 6
 
1.1%
ValueCountFrequency (%)
3240000 23
 
4.4%
3230000 60
11.4%
3220000 25
4.7%
3210000 46
8.7%
3200000 5
 
0.9%
3190000 7
 
1.3%
3180000 44
8.3%
3170000 19
 
3.6%
3160000 21
 
4.0%
3150000 57
10.8%

관리번호
Real number (ℝ)

UNIQUE 

Distinct528
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1450379 × 1017
Minimum3 × 1017
Maximum3.24 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-06T20:46:05.940165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3 × 1017
5-th percentile3.02 × 1017
Q13.08 × 1017
median3.15 × 1017
Q33.21 × 1017
95-th percentile3.23 × 1017
Maximum3.24 × 1017
Range2.4 × 1016
Interquartile range (IQR)1.3 × 1016

Descriptive statistics

Standard deviation6.9890118 × 1015
Coefficient of variation (CV)0.022222345
Kurtosis-0.99728803
Mean3.1450379 × 1017
Median Absolute Deviation (MAD)6 × 1015
Skewness-0.43479994
Sum3.730377 × 1016
Variance4.8846285 × 1031
MonotonicityNot monotonic
2024-04-06T20:46:06.190892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
323000000820230002 1
 
0.2%
318000000820040001 1
 
0.2%
319000000820060001 1
 
0.2%
319000000819910001 1
 
0.2%
319000000819730001 1
 
0.2%
319000000820100001 1
 
0.2%
318000000820040002 1
 
0.2%
318000000820100001 1
 
0.2%
318000000820090001 1
 
0.2%
318000000820080003 1
 
0.2%
Other values (518) 518
98.1%
ValueCountFrequency (%)
300000000820100001 1
0.2%
300000000820100002 1
0.2%
300000000820120001 1
0.2%
300000000820190001 1
0.2%
300000000820200001 1
0.2%
301000000819820001 1
0.2%
301000000820060001 1
0.2%
301000000820070001 1
0.2%
301000000820080001 1
0.2%
301000000820130001 1
0.2%
ValueCountFrequency (%)
324000000820230002 1
0.2%
324000000820230001 1
0.2%
324000000820220001 1
0.2%
324000000820210002 1
0.2%
324000000820210001 1
0.2%
324000000820200003 1
0.2%
324000000820200002 1
0.2%
324000000820200001 1
0.2%
324000000820180001 1
0.2%
324000000820170001 1
0.2%

인허가일자
Date

Distinct453
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum1973-07-16 00:00:00
Maximum2024-04-03 00:00:00
2024-04-06T20:46:06.459867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:46:06.710052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
1
328 
3
175 
4
 
24
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 328
62.1%
3 175
33.1%
4 24
 
4.5%
2 1
 
0.2%

Length

2024-04-06T20:46:06.928324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:46:07.089867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 328
62.1%
3 175
33.1%
4 24
 
4.5%
2 1
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
영업/정상
328 
폐업
175 
취소/말소/만료/정지/중지
 
24
휴업
 
1

Length

Max length14
Median length5
Mean length4.4090909
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 328
62.1%
폐업 175
33.1%
취소/말소/만료/정지/중지 24
 
4.5%
휴업 1
 
0.2%

Length

2024-04-06T20:46:07.622063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:46:07.794674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 328
62.1%
폐업 175
33.1%
취소/말소/만료/정지/중지 24
 
4.5%
휴업 1
 
0.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
0
328 
2
175 
4
 
23
3
 
1
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 328
62.1%
2 175
33.1%
4 23
 
4.4%
3 1
 
0.2%
1 1
 
0.2%

Length

2024-04-06T20:46:07.946744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:46:08.134990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 328
62.1%
2 175
33.1%
4 23
 
4.4%
3 1
 
0.2%
1 1
 
0.2%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
정상
328 
폐업
175 
말소
 
23
행정처분
 
1
휴업
 
1

Length

Max length4
Median length2
Mean length2.0037879
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
정상 328
62.1%
폐업 175
33.1%
말소 23
 
4.4%
행정처분 1
 
0.2%
휴업 1
 
0.2%

Length

2024-04-06T20:46:08.372365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:46:08.594126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 328
62.1%
폐업 175
33.1%
말소 23
 
4.4%
행정처분 1
 
0.2%
휴업 1
 
0.2%

폐업일자
Date

MISSING 

Distinct175
Distinct (%)87.9%
Missing329
Missing (%)62.3%
Memory size4.3 KiB
Minimum2001-01-03 00:00:00
Maximum2024-01-29 00:00:00
2024-04-06T20:46:08.854480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:46:09.108911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
<NA>
527 
20210326
 
1

Length

Max length8
Median length4
Mean length4.0075758
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 527
99.8%
20210326 1
 
0.2%

Length

2024-04-06T20:46:09.356145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:46:09.530234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 527
99.8%
20210326 1
 
0.2%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

전화번호
Text

MISSING 

Distinct312
Distinct (%)90.4%
Missing183
Missing (%)34.7%
Memory size4.3 KiB
2024-04-06T20:46:09.887654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length9.2782609
Min length4

Characters and Unicode

Total characters3201
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique287 ?
Unique (%)83.2%

Sample

1st row025384723
2nd row8518122
3rd row4230525
4th row1544-1160
5th row26437714
ValueCountFrequency (%)
5173921 4
 
1.2%
02-2631-0160 4
 
1.2%
5544599 3
 
0.9%
8518122 3
 
0.9%
02-585-8001 3
 
0.9%
02-585-7468 3
 
0.9%
262856014 2
 
0.6%
4150014 2
 
0.6%
22259600 2
 
0.6%
7743112 2
 
0.6%
Other values (302) 317
91.9%
2024-04-06T20:46:10.759655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 446
13.9%
0 420
13.1%
- 331
10.3%
3 298
9.3%
6 295
9.2%
7 260
8.1%
4 257
8.0%
1 255
8.0%
5 248
7.7%
8 212
6.6%
Other values (4) 179
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2866
89.5%
Dash Punctuation 331
 
10.3%
Other Punctuation 2
 
0.1%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 446
15.6%
0 420
14.7%
3 298
10.4%
6 295
10.3%
7 260
9.1%
4 257
9.0%
1 255
8.9%
5 248
8.7%
8 212
7.4%
9 175
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 331
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3201
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 446
13.9%
0 420
13.1%
- 331
10.3%
3 298
9.3%
6 295
9.2%
7 260
8.1%
4 257
8.0%
1 255
8.0%
5 248
7.7%
8 212
6.6%
Other values (4) 179
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3201
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 446
13.9%
0 420
13.1%
- 331
10.3%
3 298
9.3%
6 295
9.2%
7 260
8.1%
4 257
8.0%
1 255
8.0%
5 248
7.7%
8 212
6.6%
Other values (4) 179
5.6%

소재지면적
Real number (ℝ)

ZEROS 

Distinct256
Distinct (%)48.6%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean61.565522
Minimum0
Maximum2980.36
Zeros154
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-06T20:46:11.062613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20
Q347.8
95-th percentile147.651
Maximum2980.36
Range2980.36
Interquartile range (IQR)47.8

Descriptive statistics

Standard deviation240.52307
Coefficient of variation (CV)3.906782
Kurtosis104.93758
Mean61.565522
Median Absolute Deviation (MAD)20
Skewness9.8195499
Sum32445.03
Variance57851.349
MonotonicityNot monotonic
2024-04-06T20:46:11.376348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 154
29.2%
40.0 14
 
2.7%
10.0 11
 
2.1%
30.0 10
 
1.9%
20.0 8
 
1.5%
25.0 7
 
1.3%
66.0 7
 
1.3%
15.0 6
 
1.1%
36.0 6
 
1.1%
33.0 5
 
0.9%
Other values (246) 299
56.6%
ValueCountFrequency (%)
0.0 154
29.2%
1.0 3
 
0.6%
1.4 1
 
0.2%
1.59 1
 
0.2%
2.0 1
 
0.2%
2.7 1
 
0.2%
3.0 2
 
0.4%
3.3 2
 
0.4%
4.0 3
 
0.6%
4.09 1
 
0.2%
ValueCountFrequency (%)
2980.36 1
0.2%
2829.72 1
0.2%
2508.5 1
0.2%
2167.2 1
0.2%
969.5 1
0.2%
662.8 1
0.2%
599.05 1
0.2%
596.83 1
0.2%
512.0 1
0.2%
437.0 1
0.2%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

지번주소
Text

MISSING 

Distinct445
Distinct (%)85.2%
Missing6
Missing (%)1.1%
Memory size4.3 KiB
2024-04-06T20:46:11.873962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length24.544061
Min length12

Characters and Unicode

Total characters12812
Distinct characters279
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

Unique397 ?
Unique (%)76.1%

Sample

1st row서울특별시 송파구 오금동 ***
2nd row서울특별시 강서구 화곡동 ****-* *층 일부
3rd row서울특별시 마포구 공덕동 *** ****호
4th row서울특별시 마포구 마포동 ***-* 덕성빌딩 ***호
5th row서울특별시 성동구 성수동*가 ***-** 제이제이빌딩
ValueCountFrequency (%)
서울특별시 523
21.0%
325
 
13.0%
번지 199
 
8.0%
호 145
 
5.8%
송파구 60
 
2.4%
강서구 57
 
2.3%
서초구 46
 
1.8%
층 45
 
1.8%
영등포구 44
 
1.8%
중랑구 38
 
1.5%
Other values (307) 1010
40.5%
2024-04-06T20:46:12.703929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2797
21.8%
2233
17.4%
서 667
 
5.2%
동 603
 
4.7%
구 574
 
4.5%
시 531
 
4.1%
울 525
 
4.1%
특 523
 
4.1%
별 523
 
4.1%
- 414
 
3.2%
Other values (269) 3422
26.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7282
56.8%
Other Punctuation 2803
 
21.9%
Space Separator 2233
 
17.4%
Dash Punctuation 414
 
3.2%
Uppercase Letter 47
 
0.4%
Decimal Number 25
 
0.2%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 667
 
9.2%
동 603
 
8.3%
구 574
 
7.9%
시 531
 
7.3%
울 525
 
7.2%
특 523
 
7.2%
별 523
 
7.2%
지 219
 
3.0%
번 201
 
2.8%
호 159
 
2.2%
Other values (237) 2757
37.9%
Uppercase Letter
ValueCountFrequency (%)
A 8
17.0%
D 6
12.8%
B 6
12.8%
T 4
8.5%
K 4
8.5%
M 4
8.5%
C 3
 
6.4%
R 3
 
6.4%
S 2
 
4.3%
I 1
 
2.1%
Other values (6) 6
12.8%
Decimal Number
ValueCountFrequency (%)
2 6
24.0%
1 5
20.0%
7 4
16.0%
0 3
12.0%
4 3
12.0%
3 3
12.0%
8 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
* 2797
99.8%
/ 2
 
0.1%
, 2
 
0.1%
@ 2
 
0.1%
Space Separator
ValueCountFrequency (%)
2233
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 414
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7282
56.8%
Common 5481
42.8%
Latin 49
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 667
 
9.2%
동 603
 
8.3%
구 574
 
7.9%
시 531
 
7.3%
울 525
 
7.2%
특 523
 
7.2%
별 523
 
7.2%
지 219
 
3.0%
번 201
 
2.8%
호 159
 
2.2%
Other values (237) 2757
37.9%
Latin
ValueCountFrequency (%)
A 8
16.3%
D 6
12.2%
B 6
12.2%
T 4
8.2%
K 4
8.2%
M 4
8.2%
C 3
 
6.1%
R 3
 
6.1%
Ⅱ 2
 
4.1%
S 2
 
4.1%
Other values (7) 7
14.3%
Common
ValueCountFrequency (%)
* 2797
51.0%
2233
40.7%
- 414
 
7.6%
2 6
 
0.1%
1 5
 
0.1%
7 4
 
0.1%
0 3
 
0.1%
4 3
 
0.1%
3 3
 
0.1%
) 3
 
0.1%
Other values (5) 10
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7282
56.8%
ASCII 5528
43.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2797
50.6%
2233
40.4%
- 414
 
7.5%
A 8
 
0.1%
D 6
 
0.1%
B 6
 
0.1%
2 6
 
0.1%
1 5
 
0.1%
T 4
 
0.1%
7 4
 
0.1%
Other values (21) 45
 
0.8%
Hangul
ValueCountFrequency (%)
서 667
 
9.2%
동 603
 
8.3%
구 574
 
7.9%
시 531
 
7.3%
울 525
 
7.2%
특 523
 
7.2%
별 523
 
7.2%
지 219
 
3.0%
번 201
 
2.8%
호 159
 
2.2%
Other values (237) 2757
37.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명주소
Text

MISSING 

Distinct421
Distinct (%)89.4%
Missing57
Missing (%)10.8%
Memory size4.3 KiB
2024-04-06T20:46:13.158461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length44
Mean length34.830149
Min length21

Characters and Unicode

Total characters16405
Distinct characters350
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

Unique382 ?
Unique (%)81.1%

Sample

1st row서울특별시 송파구 마천로**길 *, ***호 (오금동)
2nd row서울특별시 강서구 까치산로 ***-*, *층 일부호 (화곡동)
3rd row서울특별시 마포구 만리재로 **, 한국사회복지회관 르네상스타워 **층 ****호 (공덕동)
4th row서울특별시 마포구 마포대로*나길 **, 덕성빌딩 ***호 (마포동)
5th row서울특별시 성동구 아차산로*길 **-*, *층 ****호 (성수동*가)
ValueCountFrequency (%)
472
 
15.2%
서울특별시 471
 
15.1%
호 244
 
7.8%
층 144
 
4.6%
강서구 57
 
1.8%
송파구 48
 
1.5%
서초구 46
 
1.5%
영등포구 41
 
1.3%
중랑구 37
 
1.2%
양천구 30
 
1.0%
Other values (673) 1524
48.9%
2024-04-06T20:46:13.981048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2809
17.1%
2643
 
16.1%
서 643
 
3.9%
동 638
 
3.9%
로 525
 
3.2%
구 524
 
3.2%
시 489
 
3.0%
, 477
 
2.9%
) 477
 
2.9%
( 477
 
2.9%
Other values (340) 6703
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9333
56.9%
Other Punctuation 3290
 
20.1%
Space Separator 2643
 
16.1%
Close Punctuation 477
 
2.9%
Open Punctuation 477
 
2.9%
Dash Punctuation 84
 
0.5%
Uppercase Letter 69
 
0.4%
Decimal Number 24
 
0.1%
Letter Number 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 643
 
6.9%
동 638
 
6.8%
로 525
 
5.6%
구 524
 
5.6%
시 489
 
5.2%
울 476
 
5.1%
별 473
 
5.1%
특 472
 
5.1%
호 271
 
2.9%
길 226
 
2.4%
Other values (300) 4596
49.2%
Uppercase Letter
ValueCountFrequency (%)
A 16
23.2%
C 10
14.5%
B 7
10.1%
D 7
10.1%
M 5
 
7.2%
T 4
 
5.8%
K 4
 
5.8%
R 3
 
4.3%
I 2
 
2.9%
O 2
 
2.9%
Other values (8) 9
13.0%
Decimal Number
ValueCountFrequency (%)
1 5
20.8%
2 5
20.8%
0 3
12.5%
3 3
12.5%
9 2
 
8.3%
7 2
 
8.3%
4 1
 
4.2%
5 1
 
4.2%
8 1
 
4.2%
6 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
* 2809
85.4%
, 477
 
14.5%
/ 2
 
0.1%
@ 2
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅰ 2
50.0%
Space Separator
ValueCountFrequency (%)
2643
100.0%
Close Punctuation
ValueCountFrequency (%)
) 477
100.0%
Open Punctuation
ValueCountFrequency (%)
( 477
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9333
56.9%
Common 6996
42.6%
Latin 76
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 643
 
6.9%
동 638
 
6.8%
로 525
 
5.6%
구 524
 
5.6%
시 489
 
5.2%
울 476
 
5.1%
별 473
 
5.1%
특 472
 
5.1%
호 271
 
2.9%
길 226
 
2.4%
Other values (300) 4596
49.2%
Latin
ValueCountFrequency (%)
A 16
21.1%
C 10
13.2%
B 7
9.2%
D 7
9.2%
M 5
 
6.6%
T 4
 
5.3%
K 4
 
5.3%
b 3
 
3.9%
R 3
 
3.9%
Ⅱ 2
 
2.6%
Other values (11) 15
19.7%
Common
ValueCountFrequency (%)
* 2809
40.2%
2643
37.8%
, 477
 
6.8%
) 477
 
6.8%
( 477
 
6.8%
- 84
 
1.2%
1 5
 
0.1%
2 5
 
0.1%
0 3
 
< 0.1%
3 3
 
< 0.1%
Other values (9) 13
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9333
56.9%
ASCII 7068
43.1%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2809
39.7%
2643
37.4%
, 477
 
6.7%
) 477
 
6.7%
( 477
 
6.7%
- 84
 
1.2%
A 16
 
0.2%
C 10
 
0.1%
B 7
 
0.1%
D 7
 
0.1%
Other values (28) 61
 
0.9%
Hangul
ValueCountFrequency (%)
서 643
 
6.9%
동 638
 
6.8%
로 525
 
5.6%
구 524
 
5.6%
시 489
 
5.2%
울 476
 
5.1%
별 473
 
5.1%
특 472
 
5.1%
호 271
 
2.9%
길 226
 
2.4%
Other values (300) 4596
49.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅰ 2
50.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct267
Distinct (%)69.7%
Missing145
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean6075.1671
Minimum1003
Maximum134051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-06T20:46:14.250476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1003
5-th percentile2018
Q14527
median6017
Q37570
95-th percentile8362.9
Maximum134051
Range133048
Interquartile range (IQR)3043

Descriptive statistics

Standard deviation6870.0863
Coefficient of variation (CV)1.1308473
Kurtosis317.19868
Mean6075.1671
Median Absolute Deviation (MAD)1552
Skewness16.981788
Sum2326789
Variance47198086
MonotonicityNot monotonic
2024-04-06T20:46:14.538045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5854 11
 
2.1%
4576 6
 
1.1%
7788 6
 
1.1%
7654 5
 
0.9%
7631 5
 
0.9%
5044 4
 
0.8%
7997 4
 
0.8%
8212 4
 
0.8%
6593 4
 
0.8%
7803 4
 
0.8%
Other values (257) 330
62.5%
(Missing) 145
27.5%
ValueCountFrequency (%)
1003 1
0.2%
1028 1
0.2%
1126 1
0.2%
1227 1
0.2%
1318 1
0.2%
1385 1
0.2%
1414 1
0.2%
1464 1
0.2%
1478 1
0.2%
1647 1
0.2%
ValueCountFrequency (%)
134051 1
0.2%
8849 1
0.2%
8804 1
0.2%
8788 1
0.2%
8769 1
0.2%
8762 1
0.2%
8632 1
0.2%
8613 2
0.4%
8603 1
0.2%
8595 1
0.2%

사업장명
Text

Distinct473
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2024-04-06T20:46:14.966513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length7.2253788
Min length2

Characters and Unicode

Total characters3815
Distinct characters323
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

Unique437 ?
Unique (%)82.8%

Sample

1st row성수화물
2nd row(주)대한물류
3rd row(주)제이알코어
4th row길라잡이 에프앤비
5th row(주)태림로지스
ValueCountFrequency (%)
주식회사 32
 
5.6%
개별화물 16
 
2.8%
삼원엠앤에스(주 4
 
0.7%
주)남양로지스 3
 
0.5%
신일로지시스템(주 3
 
0.5%
부광상운(주 3
 
0.5%
대원냉동(주 3
 
0.5%
우주특수산업(주 2
 
0.3%
구르메에프앤드비코리아(주 2
 
0.3%
한빛로지스(주 2
 
0.3%
Other values (476) 506
87.8%
2024-04-06T20:46:15.751647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 350
 
9.2%
) 301
 
7.9%
( 301
 
7.9%
스 150
 
3.9%
물 105
 
2.8%
지 86
 
2.3%
이 80
 
2.1%
운 78
 
2.0%
류 77
 
2.0%
로 77
 
2.0%
Other values (313) 2210
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3135
82.2%
Close Punctuation 301
 
7.9%
Open Punctuation 301
 
7.9%
Space Separator 48
 
1.3%
Uppercase Letter 18
 
0.5%
Decimal Number 6
 
0.2%
Other Punctuation 4
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 350
 
11.2%
스 150
 
4.8%
물 105
 
3.3%
지 86
 
2.7%
이 80
 
2.6%
운 78
 
2.5%
류 77
 
2.5%
로 77
 
2.5%
식 64
 
2.0%
수 62
 
2.0%
Other values (292) 2006
64.0%
Uppercase Letter
ValueCountFrequency (%)
C 3
16.7%
K 3
16.7%
H 3
16.7%
T 2
11.1%
F 2
11.1%
Y 1
 
5.6%
N 1
 
5.6%
M 1
 
5.6%
O 1
 
5.6%
L 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
4 2
33.3%
6 2
33.3%
3 1
16.7%
2 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
& 2
50.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
o 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 301
100.0%
Open Punctuation
ValueCountFrequency (%)
( 301
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3135
82.2%
Common 660
 
17.3%
Latin 20
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 350
 
11.2%
스 150
 
4.8%
물 105
 
3.3%
지 86
 
2.7%
이 80
 
2.6%
운 78
 
2.5%
류 77
 
2.5%
로 77
 
2.5%
식 64
 
2.0%
수 62
 
2.0%
Other values (292) 2006
64.0%
Latin
ValueCountFrequency (%)
C 3
15.0%
K 3
15.0%
H 3
15.0%
T 2
10.0%
F 2
10.0%
k 1
 
5.0%
o 1
 
5.0%
Y 1
 
5.0%
N 1
 
5.0%
M 1
 
5.0%
Other values (2) 2
10.0%
Common
ValueCountFrequency (%)
) 301
45.6%
( 301
45.6%
48
 
7.3%
. 2
 
0.3%
4 2
 
0.3%
6 2
 
0.3%
& 2
 
0.3%
3 1
 
0.2%
2 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3135
82.2%
ASCII 680
 
17.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 350
 
11.2%
스 150
 
4.8%
물 105
 
3.3%
지 86
 
2.7%
이 80
 
2.6%
운 78
 
2.5%
류 77
 
2.5%
로 77
 
2.5%
식 64
 
2.0%
수 62
 
2.0%
Other values (292) 2006
64.0%
ASCII
ValueCountFrequency (%)
) 301
44.3%
( 301
44.3%
48
 
7.1%
C 3
 
0.4%
K 3
 
0.4%
H 3
 
0.4%
T 2
 
0.3%
. 2
 
0.3%
4 2
 
0.3%
6 2
 
0.3%
Other values (11) 13
 
1.9%

최종수정일자
Date

UNIQUE 

Distinct528
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum2003-01-02 10:42:54
Maximum2024-04-04 16:21:10
2024-04-06T20:46:16.055149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:46:16.368489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
U
298 
I
230 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 298
56.4%
I 230
43.6%

Length

2024-04-06T20:46:16.595620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:46:16.775713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 298
56.4%
i 230
43.6%

데이터갱신일자
Date

Distinct262
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T20:46:16.984497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:46:17.252376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct409
Distinct (%)80.7%
Missing21
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean198817.07
Minimum183396
Maximum215203.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-06T20:46:17.567664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183396
5-th percentile184802.41
Q1190426.6
median201169.97
Q3206719.71
95-th percentile211521.98
Maximum215203.88
Range31807.884
Interquartile range (IQR)16293.11

Descriptive statistics

Standard deviation8970.1764
Coefficient of variation (CV)0.045117737
Kurtosis-1.36945
Mean198817.07
Median Absolute Deviation (MAD)8383.4365
Skewness-0.13918754
Sum1.0080026 × 108
Variance80464064
MonotonicityNot monotonic
2024-04-06T20:46:17.929419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210558.0 6
 
1.1%
187020.691251664 5
 
0.9%
191900.345924872 5
 
0.9%
207388.308848516 4
 
0.8%
188953.066831076 4
 
0.8%
206756.119639205 4
 
0.8%
206979.383643338 3
 
0.6%
189277.761702183 3
 
0.6%
205896.640685441 3
 
0.6%
189133.785005948 3
 
0.6%
Other values (399) 467
88.4%
(Missing) 21
 
4.0%
ValueCountFrequency (%)
183395.997199242 1
 
0.2%
183410.412077203 1
 
0.2%
183532.107955654 3
0.6%
183813.857453649 1
 
0.2%
183821.918422459 1
 
0.2%
183829.396063757 1
 
0.2%
183829.89036961 1
 
0.2%
183846.868344957 1
 
0.2%
184004.737526946 1
 
0.2%
184103.718488054 1
 
0.2%
ValueCountFrequency (%)
215203.880915796 1
 
0.2%
213751.740241662 1
 
0.2%
213470.106286877 1
 
0.2%
213073.787217832 1
 
0.2%
212828.194291518 1
 
0.2%
212645.539631084 2
0.4%
212481.618347928 3
0.6%
212398.096434974 1
 
0.2%
212246.352870191 1
 
0.2%
212172.828537488 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct409
Distinct (%)80.7%
Missing21
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean448476.16
Minimum438701.21
Maximum464814.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-04-06T20:46:18.214056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438701.21
5-th percentile441810.74
Q1444383.32
median448111.06
Q3451632.8
95-th percentile457270.55
Maximum464814.72
Range26113.512
Interquartile range (IQR)7249.4717

Descriptive statistics

Standard deviation5075.9991
Coefficient of variation (CV)0.011318325
Kurtosis-0.05698548
Mean448476.16
Median Absolute Deviation (MAD)3595.9732
Skewness0.59159405
Sum2.2737741 × 108
Variance25765767
MonotonicityNot monotonic
2024-04-06T20:46:18.457958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442587.0 6
 
1.1%
450220.360286033 5
 
0.9%
452626.221252439 5
 
0.9%
448313.517465433 4
 
0.8%
447333.569187997 4
 
0.8%
456184.929130937 4
 
0.8%
452350.907653737 3
 
0.6%
444671.551731639 3
 
0.6%
454847.087355503 3
 
0.6%
444562.755976432 3
 
0.6%
Other values (399) 467
88.4%
(Missing) 21
 
4.0%
ValueCountFrequency (%)
438701.205634976 1
0.2%
439083.411970871 1
0.2%
439322.42742435 1
0.2%
439881.740443559 2
0.4%
439960.533113874 1
0.2%
440416.170972838 1
0.2%
440443.438661779 2
0.4%
440500.995945057 1
0.2%
440570.80333513 1
0.2%
440875.384680866 1
0.2%
ValueCountFrequency (%)
464814.717432497 1
0.2%
462864.131705901 1
0.2%
462732.18472229 1
0.2%
462367.006783272 1
0.2%
462293.140879558 1
0.2%
461935.33920381 1
0.2%
461917.569492947 1
0.2%
461798.679403318 1
0.2%
461582.803734992 1
0.2%
461449.073521991 1
0.2%

축산업무구분명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
축산물운반업
324 
<NA>
204 

Length

Max length6
Median length6
Mean length5.2272727
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 (%)
축산물운반업 324
61.4%
<NA> 204
38.6%

Length

2024-04-06T20:46:18.791967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:46:19.058712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 324
61.4%
na 204
38.6%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing528
Missing (%)100.0%
Memory size4.8 KiB

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
<NA>
480 
0
 
48

Length

Max length4
Median length4
Mean length3.7272727
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> 480
90.9%
0 48
 
9.1%

Length

2024-04-06T20:46:19.317982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:46:19.591954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 480
90.9%
0 48
 
9.1%

권리주체일련번호
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
<NA>
204 
L00
178 
000
145 
O00
 
1

Length

Max length4
Median length3
Mean length3.3863636
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 204
38.6%
L00 178
33.7%
000 145
27.5%
O00 1
 
0.2%

Length

2024-04-06T20:46:19.812160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:46:20.041221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 204
38.6%
l00 178
33.7%
000 145
27.5%
o00 1
 
0.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
<NA>
480 
0
 
48

Length

Max length4
Median length4
Mean length3.7272727
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> 480
90.9%
0 48
 
9.1%

Length

2024-04-06T20:46:20.644165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:46:20.915101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 480
90.9%
0 48
 
9.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
032300003230000008202300022023-04-19<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 송파구 오금동 ***서울특별시 송파구 마천로**길 *, ***호 (오금동)5722성수화물2023-04-19 13:09:24I2022-12-03 22:01:00.0<NA>212123.802311444718.676192<NA><NA><NA><NA><NA>
131500003150000008202300082023-12-07<NA>1영업/정상0정상<NA><NA><NA><NA>0253847236.6<NA>서울특별시 강서구 화곡동 ****-* *층 일부서울특별시 강서구 까치산로 ***-*, *층 일부호 (화곡동)7654(주)대한물류2023-12-07 09:35:22I2022-11-02 00:09:00.0<NA>187020.691252450220.360286<NA><NA><NA><NA><NA>
231300003130000008202100012021-07-30<NA>1영업/정상0정상<NA><NA><NA><NA>85181227.61<NA>서울특별시 마포구 공덕동 *** ****호서울특별시 마포구 만리재로 **, 한국사회복지회관 르네상스타워 **층 ****호 (공덕동)4195(주)제이알코어2024-02-01 11:15:48U2023-12-02 00:03:00.0<NA>195766.58807449083.306923<NA><NA><NA><NA><NA>
331300003130000008202300012023-03-14<NA>1영업/정상0정상<NA><NA><NA><NA><NA>10.0<NA>서울특별시 마포구 마포동 ***-* 덕성빌딩 ***호서울특별시 마포구 마포대로*나길 **, 덕성빌딩 ***호 (마포동)4176길라잡이 에프앤비2023-03-14 15:12:21I2022-12-02 23:06:00.0<NA>195071.903085448345.713688<NA><NA><NA><NA><NA>
430300003030000008202300012023-06-01<NA>1영업/정상0정상<NA><NA><NA><NA><NA>1.4<NA>서울특별시 성동구 성수동*가 ***-** 제이제이빌딩서울특별시 성동구 아차산로*길 **-*, *층 ****호 (성수동*가)4793(주)태림로지스2023-06-01 17:41:03I2022-12-06 00:03:00.0<NA>204743.677915449357.946414<NA><NA><NA><NA><NA>
532200003220000008202200032020-06-25<NA>1영업/정상0정상<NA><NA><NA><NA>4230525171.0<NA>서울특별시 강남구 논현동 ***-**서울특별시 강남구 봉은사로**길 *-*, *층 (논현동)6109주식회사 팀프레시2023-07-18 15:31:17U2022-12-06 22:00:00.0<NA>203124.417767445144.50744<NA><NA><NA><NA><NA>
630500003050000008202000022020-02-26<NA>1영업/정상0정상<NA><NA><NA><NA><NA>45.45<NA>서울특별시 동대문구 답십리동 ***-*서울특별시 동대문구 답십리로**길 **, 상가동 *층 ***호 (답십리동, 우성그린아파트)2535영일만축산2023-07-24 14:42:27U2022-12-06 22:06:00.0<NA>205762.994263452510.004743<NA><NA><NA><NA><NA>
730400003040000008202300012023-05-11<NA>1영업/정상0정상<NA><NA><NA><NA>1544-116019.0<NA>서울특별시 광진구 군자동 ***-**서울특별시 광진구 능동로**길 **, 로드윈빌딩 *층 (군자동)4996오픈마일 주식회사2023-08-02 09:41:34U2022-12-08 00:04:00.0<NA>206819.358824450540.803401<NA><NA><NA><NA><NA>
831800003180000008202200032017-06-26<NA>1영업/정상0정상<NA><NA><NA><NA>2643771415.0<NA>서울특별시 영등포구 양평동*가 **-* 상가동 ***호서울특별시 영등포구 영등포로*길 *, 양평동삼성아파트 상가동 ***호 (양평동*가)7276(주)대륜물류2023-08-14 13:54:08U2022-12-07 23:07:00.0<NA>189549.847308446913.09268<NA><NA><NA><NA><NA>
930500003050000008202200012022-12-20<NA>1영업/정상0정상<NA><NA><NA><NA>02-2244-00115.1<NA>서울특별시 동대문구 장안동 ***-* ***호서울특별시 동대문구 장한로**길 **-*, ***호 (장안동, 써니빌 가야아파트)2624(주)이너스로지스틱스2023-04-17 13:23:24U2022-12-03 23:09:00.0<NA>206051.643932451926.028056<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
51830700003070000008202200022022-07-06<NA>3폐업2폐업2023-12-19<NA><NA><NA>911-71000.0<NA>서울특별시 성북구 정릉동 ***-** 건양B/D서울특별시 성북구 보국문로 **, 건양B/D (정릉동)2709(주)영진엠앤에프2023-12-19 15:22:04U2022-11-01 22:01:00.0<NA>200716.014664456467.370606<NA><NA><NA><NA><NA>
51931800003180000008202200022022-07-15<NA>3폐업2폐업2023-06-16<NA><NA><NA>02-857-95093.0<NA>서울특별시 영등포구 문래동*가 ** 리버뷰 신안인스빌 *층 상가동서울특별시 영등포구 경인로**길 **, 상가동 *층 (문래동*가, 리버뷰 신안인스빌)7287아워박스주식회사2023-06-19 10:44:49U2022-12-05 22:01:00.0<NA>190079.219797445778.895202<NA><NA><NA><NA><NA>
52031800003180000008202200012022-07-04<NA>1영업/정상0정상<NA><NA><NA><NA>02-833-378060.72<NA>서울특별시 영등포구 신길동 ****-* **호서울특별시 영등포구 여의대방로**길 *, 천록빌딩 *층 **호 (신길동)7319에스앤에스로지스주식회사2023-08-14 14:02:26U2022-12-07 23:07:00.0<NA>193389.462377445790.101524<NA><NA><NA><NA><NA>
52130600003060000008201100032011-05-23<NA>1영업/정상0정상<NA><NA><NA><NA>76839260.0<NA>서울특별시 중랑구 면목동 ***-**서울특별시 중랑구 용마산로 *** (면목동)2211카우로지스틱스(주)2024-04-03 20:12:29U2023-12-04 00:05:00.0<NA>208161.194053453342.721237<NA><NA><NA><NA><NA>
52231700003170000008201900012019-08-30<NA>1영업/정상0정상<NA><NA><NA><NA>8048802113.4<NA>서울특별시 금천구 시흥동 **** ****호서울특별시 금천구 시흥대로**길 **, 엠메디칼타워 ****호 (시흥동)8613(주)에스앤피로지스2023-10-24 10:19:18U2022-10-30 22:06:00.0<NA>190718.37725439322.427424<NA><NA><NA><NA><NA>
52331300003130000008201500012015-04-14<NA>1영업/정상0정상<NA><NA><NA><NA>2303558575.0<NA>서울특별시 마포구 성산동 ***-* 삼라마이다스 ***호서울특별시 마포구 월드컵로**길 **, *층 ***호 (성산동, 삼라마이다스)3938이송물류(주)2023-12-15 09:32:58U2022-11-01 23:07:00.0<NA>191394.825368451555.568249<NA><NA><NA><NA><NA>
52432100003210000008202100032021-09-07<NA>1영업/정상0정상<NA><NA><NA><NA>02-585-746816.5<NA>서울특별시 서초구 서초동 ****-**서울특별시 서초구 서초중앙로 **, *층 ***호 (서초동, 서초쌍용플래티넘)6720태한지엘에스(주)2023-11-08 13:23:13U2022-10-31 23:00:00.0<NA>201463.6903442429.147526<NA><NA><NA><NA><NA>
52530100003010000008201700012005-09-29<NA>1영업/정상0정상<NA><NA><NA><NA>64300326334.0<NA>서울특별시 중구 소공동 **서울특별시 중구 소공로 **, **층 (소공동, OCI주식회사)4532(주)제때2024-01-02 14:04:31U2023-12-01 00:04:00.0<NA>198203.770088451226.11609<NA><NA><NA><NA><NA>
52631500003150000008201700032016-08-11<NA>1영업/정상0정상<NA><NA><NA><NA>774311256.0<NA>서울특별시 강서구 마곡동 ***-*서울특별시 강서구 마곡중앙로 ***-**, ***호 (마곡동, 보타닉파크타워Ⅰ)7788(주)경세물류2024-03-22 11:42:27U2023-12-02 22:04:00.0<NA>184555.689189451767.833497<NA><NA><NA><NA><NA>
52731800003180000008202100032021-08-06<NA>1영업/정상0정상<NA><NA><NA><NA>434618110.0<NA>서울특별시 영등포구 양평동*가 ** ***동 *-*호서울특별시 영등포구 양평로**길 *, ***동 *-*호 (양평동*가, 양평동한신아파트)7204(주)경세산업2024-02-22 20:23:26U2023-12-01 22:04:00.0<NA>190394.571819448656.726986<NA><NA><NA><NA><NA>