Overview

Dataset statistics

Number of variables30
Number of observations25
Missing cells210
Missing cells (%)28.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory263.3 B

Variable types

Categorical11
Numeric5
DateTime3
Unsupported7
Text4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-18526/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
폐업일자 is highly imbalanced (58.9%)Imbalance
축산일련번호 is highly imbalanced (75.8%)Imbalance
총인원 is highly imbalanced (75.8%)Imbalance
인허가취소일자 has 25 (100.0%) missing valuesMissing
휴업시작일자 has 25 (100.0%) missing valuesMissing
휴업종료일자 has 25 (100.0%) missing valuesMissing
재개업일자 has 25 (100.0%) missing valuesMissing
전화번호 has 10 (40.0%) missing valuesMissing
소재지우편번호 has 25 (100.0%) missing valuesMissing
지번주소 has 1 (4.0%) missing valuesMissing
도로명주소 has 10 (40.0%) missing valuesMissing
도로명우편번호 has 10 (40.0%) missing valuesMissing
업태구분명 has 25 (100.0%) missing valuesMissing
좌표정보(X) has 2 (8.0%) missing valuesMissing
좌표정보(Y) has 2 (8.0%) missing valuesMissing
축산물가공업구분명 has 25 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 9 (36.0%) zerosZeros

Reproduction

Analysis started2024-05-11 01:34:35.945274
Analysis finished2024-05-11 01:34:37.037683
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
3240000
25 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 25
100.0%

Length

2024-05-11T01:34:37.368822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:38.126082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 25
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.24 × 1017
Minimum3.24 × 1017
Maximum3.24 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T01:34:38.641087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.24 × 1017
5-th percentile3.24 × 1017
Q13.24 × 1017
median3.24 × 1017
Q33.24 × 1017
95-th percentile3.24 × 1017
Maximum3.24 × 1017
Range200001
Interquartile range (IQR)109952

Descriptive statistics

Standard deviation64436.68
Coefficient of variation (CV)1.9887864 × 10-13
Kurtosis-1.2879043
Mean3.24 × 1017
Median Absolute Deviation (MAD)49984
Skewness-0.2229577
Sum8.1 × 1018
Variance4.1520857 × 109
MonotonicityStrictly increasing
2024-05-11T01:34:39.354543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
324000000820040001 1
 
4.0%
324000000820050001 1
 
4.0%
324000000820240002 1
 
4.0%
324000000820240001 1
 
4.0%
324000000820230002 1
 
4.0%
324000000820230001 1
 
4.0%
324000000820220001 1
 
4.0%
324000000820210002 1
 
4.0%
324000000820210001 1
 
4.0%
324000000820200003 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
324000000820040001 1
4.0%
324000000820050001 1
4.0%
324000000820060001 1
4.0%
324000000820070001 1
4.0%
324000000820080001 1
4.0%
324000000820100001 1
4.0%
324000000820100002 1
4.0%
324000000820110001 1
4.0%
324000000820120001 1
4.0%
324000000820130001 1
4.0%
ValueCountFrequency (%)
324000000820240002 1
4.0%
324000000820240001 1
4.0%
324000000820230002 1
4.0%
324000000820230001 1
4.0%
324000000820220001 1
4.0%
324000000820210002 1
4.0%
324000000820210001 1
4.0%
324000000820200003 1
4.0%
324000000820200002 1
4.0%
324000000820200001 1
4.0%

인허가일자
Date

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2004-11-08 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T01:34:39.813667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:34:40.270552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
1
21 
3
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 21
84.0%
3 4
 
16.0%

Length

2024-05-11T01:34:40.645023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:40.911409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
84.0%
3 4
 
16.0%

영업상태명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업/정상
21 
폐업
4 

Length

Max length5
Median length5
Mean length4.52
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 21
84.0%
폐업 4
 
16.0%

Length

2024-05-11T01:34:41.339506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:41.700459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 21
84.0%
폐업 4
 
16.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
21 
2
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row0
4th row2
5th row0

Common Values

ValueCountFrequency (%)
0 21
84.0%
2 4
 
16.0%

Length

2024-05-11T01:34:42.033948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:42.337698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
84.0%
2 4
 
16.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
정상
21 
폐업
4 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 21
84.0%
폐업 4
 
16.0%

Length

2024-05-11T01:34:42.645780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:42.943111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 21
84.0%
폐업 4
 
16.0%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
21 
20150401
 
1
20051105
 
1
20100105
 
1
20170209
 
1

Length

Max length8
Median length4
Mean length4.64
Min length4

Unique

Unique4 ?
Unique (%)16.0%

Sample

1st row20150401
2nd row20051105
3rd row<NA>
4th row20100105
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
84.0%
20150401 1
 
4.0%
20051105 1
 
4.0%
20100105 1
 
4.0%
20170209 1
 
4.0%

Length

2024-05-11T01:34:43.312469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:43.672808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
84.0%
20150401 1
 
4.0%
20051105 1
 
4.0%
20100105 1
 
4.0%
20170209 1
 
4.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

전화번호
Text

MISSING 

Distinct14
Distinct (%)93.3%
Missing10
Missing (%)40.0%
Memory size332.0 B
2024-05-11T01:34:44.254596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length9.2666667
Min length7

Characters and Unicode

Total characters139
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

Unique13 ?
Unique (%)86.7%

Sample

1st row485-4816,477-9273
2nd row475-9200
3rd row470-6871
4th row821-1600
5th row486-8906
ValueCountFrequency (%)
22259600 2
13.3%
485-4816,477-9273 1
 
6.7%
475-9200 1
 
6.7%
470-6871 1
 
6.7%
821-1600 1
 
6.7%
486-8906 1
 
6.7%
477-4277 1
 
6.7%
4777243 1
 
6.7%
02-478-1488 1
 
6.7%
070-4236-4977 1
 
6.7%
Other values (4) 4
26.7%
2024-05-11T01:34:45.039385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 20
14.4%
4 18
12.9%
0 17
12.2%
7 17
12.2%
6 14
10.1%
8 12
8.6%
- 12
8.6%
5 9
6.5%
9 8
 
5.8%
1 7
 
5.0%
Other values (2) 5
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 126
90.6%
Dash Punctuation 12
 
8.6%
Other Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 20
15.9%
4 18
14.3%
0 17
13.5%
7 17
13.5%
6 14
11.1%
8 12
9.5%
5 9
7.1%
9 8
 
6.3%
1 7
 
5.6%
3 4
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 139
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 20
14.4%
4 18
12.9%
0 17
12.2%
7 17
12.2%
6 14
10.1%
8 12
8.6%
- 12
8.6%
5 9
6.5%
9 8
 
5.8%
1 7
 
5.0%
Other values (2) 5
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 139
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 20
14.4%
4 18
12.9%
0 17
12.2%
7 17
12.2%
6 14
10.1%
8 12
8.6%
- 12
8.6%
5 9
6.5%
9 8
 
5.8%
1 7
 
5.0%
Other values (2) 5
 
3.6%

소재지면적
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.2508
Minimum0
Maximum335.61
Zeros9
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T01:34:45.416661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q328
95-th percentile49.4
Maximum335.61
Range335.61
Interquartile range (IQR)28

Descriptive statistics

Standard deviation65.975886
Coefficient of variation (CV)2.4210624
Kurtosis22.142872
Mean27.2508
Median Absolute Deviation (MAD)10
Skewness4.5928381
Sum681.27
Variance4352.8176
MonotonicityNot monotonic
2024-05-11T01:34:45.754462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 9
36.0%
10.0 3
 
12.0%
20.0 2
 
8.0%
17.89 1
 
4.0%
12.6 1
 
4.0%
51.75 1
 
4.0%
28.8 1
 
4.0%
40.0 1
 
4.0%
28.0 1
 
4.0%
25.0 1
 
4.0%
Other values (4) 4
16.0%
ValueCountFrequency (%)
0.0 9
36.0%
4.0 1
 
4.0%
10.0 3
 
12.0%
12.6 1
 
4.0%
17.89 1
 
4.0%
20.0 2
 
8.0%
25.0 1
 
4.0%
28.0 1
 
4.0%
28.8 1
 
4.0%
33.05 1
 
4.0%
ValueCountFrequency (%)
335.61 1
4.0%
51.75 1
4.0%
40.0 1
4.0%
34.57 1
4.0%
33.05 1
4.0%
28.8 1
4.0%
28.0 1
4.0%
25.0 1
4.0%
20.0 2
8.0%
17.89 1
4.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

지번주소
Text

MISSING 

Distinct22
Distinct (%)91.7%
Missing1
Missing (%)4.0%
Memory size332.0 B
2024-05-11T01:34:46.168638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length25.583333
Min length12

Characters and Unicode

Total characters614
Distinct characters56
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)87.5%

Sample

1st row서울특별시 강동구 천호동 ***-*번지 *층
2nd row서울특별시 강동구 천호동 ***-*번지 청광노블하임 ***호
3rd row서울특별시 강동구 성내동 ***-*번지 ***호
4th row서울특별시 강동구 고덕동 ***-**번지 진성빌딩 ***호
5th row서울특별시 강동구 성내동 ***-*번지 삼육B/D ***호
ValueCountFrequency (%)
서울특별시 24
19.4%
강동구 24
19.4%
12
9.7%
번지 11
8.9%
호 11
8.9%
천호동 8
 
6.5%
길동 6
 
4.8%
층 6
 
4.8%
성내동 5
 
4.0%
고덕동 2
 
1.6%
Other values (15) 15
12.1%
2024-05-11T01:34:47.068265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 135
22.0%
114
18.6%
동 50
 
8.1%
강 25
 
4.1%
울 24
 
3.9%
구 24
 
3.9%
서 24
 
3.9%
시 24
 
3.9%
별 24
 
3.9%
특 24
 
3.9%
Other values (46) 146
23.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 341
55.5%
Other Punctuation 136
 
22.1%
Space Separator 114
 
18.6%
Dash Punctuation 21
 
3.4%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 50
14.7%
강 25
 
7.3%
울 24
 
7.0%
구 24
 
7.0%
서 24
 
7.0%
시 24
 
7.0%
별 24
 
7.0%
특 24
 
7.0%
호 19
 
5.6%
번 11
 
3.2%
Other values (40) 92
27.0%
Other Punctuation
ValueCountFrequency (%)
* 135
99.3%
/ 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 341
55.5%
Common 271
44.1%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 50
14.7%
강 25
 
7.3%
울 24
 
7.0%
구 24
 
7.0%
서 24
 
7.0%
시 24
 
7.0%
별 24
 
7.0%
특 24
 
7.0%
호 19
 
5.6%
번 11
 
3.2%
Other values (40) 92
27.0%
Common
ValueCountFrequency (%)
* 135
49.8%
114
42.1%
- 21
 
7.7%
/ 1
 
0.4%
Latin
ValueCountFrequency (%)
D 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 341
55.5%
ASCII 273
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 135
49.5%
114
41.8%
- 21
 
7.7%
D 1
 
0.4%
/ 1
 
0.4%
B 1
 
0.4%
Hangul
ValueCountFrequency (%)
동 50
14.7%
강 25
 
7.3%
울 24
 
7.0%
구 24
 
7.0%
서 24
 
7.0%
시 24
 
7.0%
별 24
 
7.0%
특 24
 
7.0%
호 19
 
5.6%
번 11
 
3.2%
Other values (40) 92
27.0%

도로명주소
Text

MISSING 

Distinct13
Distinct (%)86.7%
Missing10
Missing (%)40.0%
Memory size332.0 B
2024-05-11T01:34:48.055059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length40
Mean length35.666667
Min length29

Characters and Unicode

Total characters535
Distinct characters63
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)80.0%

Sample

1st row서울특별시 강동구 천호대로 ****, 일성하이츠오피스텔 ***호 (길동)
2nd row서울특별시 강동구 암사길 ***, *층 *호 (암사동)
3rd row서울특별시 강동구 천호대로 ****, ***호 (길동)
4th row서울특별시 강동구 양재대로***길 **-* (명일동)
5th row서울특별시 강동구 성내로 **, 경성빌딩 *층 ***호 (성내동)
ValueCountFrequency (%)
서울특별시 15
13.6%
15
13.6%
강동구 15
13.6%
층 12
10.9%
호 10
 
9.1%
길동 5
 
4.5%
천호동 4
 
3.6%
양재대로 3
 
2.7%
선진빌딩 3
 
2.7%
성내동 3
 
2.7%
Other values (23) 25
22.7%
2024-05-11T01:34:49.428318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 95
17.8%
95
17.8%
동 32
 
6.0%
, 18
 
3.4%
호 16
 
3.0%
강 16
 
3.0%
로 15
 
2.8%
) 15
 
2.8%
( 15
 
2.8%
울 15
 
2.8%
Other values (53) 203
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 296
55.3%
Other Punctuation 113
 
21.1%
Space Separator 95
 
17.8%
Close Punctuation 15
 
2.8%
Open Punctuation 15
 
2.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 32
 
10.8%
호 16
 
5.4%
강 16
 
5.4%
로 15
 
5.1%
울 15
 
5.1%
서 15
 
5.1%
구 15
 
5.1%
시 15
 
5.1%
별 15
 
5.1%
특 15
 
5.1%
Other values (47) 127
42.9%
Other Punctuation
ValueCountFrequency (%)
* 95
84.1%
, 18
 
15.9%
Space Separator
ValueCountFrequency (%)
95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 296
55.3%
Common 239
44.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 32
 
10.8%
호 16
 
5.4%
강 16
 
5.4%
로 15
 
5.1%
울 15
 
5.1%
서 15
 
5.1%
구 15
 
5.1%
시 15
 
5.1%
별 15
 
5.1%
특 15
 
5.1%
Other values (47) 127
42.9%
Common
ValueCountFrequency (%)
* 95
39.7%
95
39.7%
, 18
 
7.5%
) 15
 
6.3%
( 15
 
6.3%
- 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 296
55.3%
ASCII 239
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 95
39.7%
95
39.7%
, 18
 
7.5%
) 15
 
6.3%
( 15
 
6.3%
- 1
 
0.4%
Hangul
ValueCountFrequency (%)
동 32
 
10.8%
호 16
 
5.4%
강 16
 
5.4%
로 15
 
5.1%
울 15
 
5.1%
서 15
 
5.1%
구 15
 
5.1%
시 15
 
5.1%
별 15
 
5.1%
특 15
 
5.1%
Other values (47) 127
42.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)80.0%
Missing10
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean13917.533
Minimum5229
Maximum134051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T01:34:50.003876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5229
5-th percentile5274.5
Q15314
median5353
Q35375.5
95-th percentile43995.3
Maximum134051
Range128822
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation33233.953
Coefficient of variation (CV)2.3879198
Kurtosis14.999931
Mean13917.533
Median Absolute Deviation (MAD)39
Skewness3.8729709
Sum208763
Variance1.1044957 × 109
MonotonicityNot monotonic
2024-05-11T01:34:50.646983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5314 3
 
12.0%
5355 2
 
8.0%
134051 1
 
4.0%
5294 1
 
4.0%
5396 1
 
4.0%
5353 1
 
4.0%
5399 1
 
4.0%
5332 1
 
4.0%
5400 1
 
4.0%
5354 1
 
4.0%
Other values (2) 2
 
8.0%
(Missing) 10
40.0%
ValueCountFrequency (%)
5229 1
 
4.0%
5294 1
 
4.0%
5303 1
 
4.0%
5314 3
12.0%
5332 1
 
4.0%
5353 1
 
4.0%
5354 1
 
4.0%
5355 2
8.0%
5396 1
 
4.0%
5399 1
 
4.0%
ValueCountFrequency (%)
134051 1
 
4.0%
5400 1
 
4.0%
5399 1
 
4.0%
5396 1
 
4.0%
5355 2
8.0%
5354 1
 
4.0%
5353 1
 
4.0%
5332 1
 
4.0%
5314 3
12.0%
5303 1
 
4.0%

사업장명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-05-11T01:34:51.317762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.64
Min length2

Characters and Unicode

Total characters166
Distinct characters70
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row경안운송
2nd row특판2급식영업점
3rd row웰빙축산
4th row한국냉장
5th row(주)미리내운수
ValueCountFrequency (%)
경안운송 1
 
3.8%
특판2급식영업점 1
 
3.8%
현승 1
 
3.8%
경진운수 1
 
3.8%
디제이운수 1
 
3.8%
주식회사 1
 
3.8%
씨티로지스 1
 
3.8%
주)지에프케이 1
 
3.8%
삼원엠앤에스(주 1
 
3.8%
주)선진에프앤엘 1
 
3.8%
Other values (16) 16
61.5%
2024-05-11T01:34:52.825073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 12
 
7.2%
) 10
 
6.0%
( 10
 
6.0%
스 8
 
4.8%
이 6
 
3.6%
수 6
 
3.6%
진 6
 
3.6%
에 5
 
3.0%
지 5
 
3.0%
운 5
 
3.0%
Other values (60) 93
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
86.7%
Close Punctuation 10
 
6.0%
Open Punctuation 10
 
6.0%
Decimal Number 1
 
0.6%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 12
 
8.3%
스 8
 
5.6%
이 6
 
4.2%
수 6
 
4.2%
진 6
 
4.2%
에 5
 
3.5%
지 5
 
3.5%
운 5
 
3.5%
로 4
 
2.8%
제 4
 
2.8%
Other values (56) 83
57.6%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
86.7%
Common 22
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 12
 
8.3%
스 8
 
5.6%
이 6
 
4.2%
수 6
 
4.2%
진 6
 
4.2%
에 5
 
3.5%
지 5
 
3.5%
운 5
 
3.5%
로 4
 
2.8%
제 4
 
2.8%
Other values (56) 83
57.6%
Common
ValueCountFrequency (%)
) 10
45.5%
( 10
45.5%
2 1
 
4.5%
1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
86.7%
ASCII 22
 
13.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 12
 
8.3%
스 8
 
5.6%
이 6
 
4.2%
수 6
 
4.2%
진 6
 
4.2%
에 5
 
3.5%
지 5
 
3.5%
운 5
 
3.5%
로 4
 
2.8%
제 4
 
2.8%
Other values (56) 83
57.6%
ASCII
ValueCountFrequency (%)
) 10
45.5%
( 10
45.5%
2 1
 
4.5%
1
 
4.5%

최종수정일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2005-11-09 15:24:17
Maximum2024-04-30 13:32:17
2024-05-11T01:34:53.388419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:34:53.896815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
I
17 
U
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 17
68.0%
U 8
32.0%

Length

2024-05-11T01:34:54.431863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:54.906018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 17
68.0%
u 8
32.0%

데이터갱신일자
Date

Distinct14
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T01:34:55.354846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:34:55.708470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)87.0%
Missing2
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean212232.09
Minimum210771.43
Maximum215203.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T01:34:56.305022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210771.43
5-th percentile211041.15
Q1211807.73
median211980.25
Q3212568.33
95-th percentile213723.58
Maximum215203.88
Range4432.4552
Interquartile range (IQR)760.60637

Descriptive statistics

Standard deviation991.45141
Coefficient of variation (CV)0.0046715435
Kurtosis2.5266199
Mean212232.09
Median Absolute Deviation (MAD)501.37002
Skewness1.2031851
Sum4881338
Variance982975.9
MonotonicityNot monotonic
2024-05-11T01:34:56.853628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
212481.618347928 3
 
12.0%
211980.248325806 2
 
8.0%
211367.91579687 1
 
4.0%
212655.05159549 1
 
4.0%
212926.089912845 1
 
4.0%
211963.942242149 1
 
4.0%
211057.900056626 1
 
4.0%
211806.312287681 1
 
4.0%
211039.290221397 1
 
4.0%
212246.352870191 1
 
4.0%
Other values (10) 10
40.0%
(Missing) 2
 
8.0%
ValueCountFrequency (%)
210771.425675978 1
4.0%
211039.290221397 1
4.0%
211057.900056626 1
4.0%
211115.499905641 1
4.0%
211367.91579687 1
4.0%
211806.312287681 1
4.0%
211809.144914284 1
4.0%
211853.659176909 1
4.0%
211893.281458875 1
4.0%
211963.942242149 1
4.0%
ValueCountFrequency (%)
215203.880915796 1
 
4.0%
213751.740241662 1
 
4.0%
213470.106286877 1
 
4.0%
212926.089912845 1
 
4.0%
212828.194291518 1
 
4.0%
212655.05159549 1
 
4.0%
212481.618347928 3
12.0%
212246.352870191 1
 
4.0%
212172.828537488 1
 
4.0%
211980.248325806 2
8.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)87.0%
Missing2
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean448715.45
Minimum447198.55
Maximum451009.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-05-11T01:34:57.235276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447198.55
5-th percentile447237.77
Q1448111.06
median448673.39
Q3449363.37
95-th percentile450639.79
Maximum451009.06
Range3810.508
Interquartile range (IQR)1252.3125

Descriptive statistics

Standard deviation1023.9926
Coefficient of variation (CV)0.0022820533
Kurtosis0.0061329121
Mean448715.45
Median Absolute Deviation (MAD)664.88508
Skewness0.48339836
Sum10320455
Variance1048560.8
MonotonicityNot monotonic
2024-05-11T01:34:57.652162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
449133.956765955 3
 
12.0%
448111.060277943 2
 
8.0%
447225.778131525 1
 
4.0%
448764.660042344 1
 
4.0%
450751.524331915 1
 
4.0%
448273.205058814 1
 
4.0%
447198.554622704 1
 
4.0%
448673.394560071 1
 
4.0%
447345.67067272 1
 
4.0%
448386.840616924 1
 
4.0%
Other values (10) 10
40.0%
(Missing) 2
 
8.0%
ValueCountFrequency (%)
447198.554622704 1
4.0%
447225.778131525 1
4.0%
447345.67067272 1
4.0%
447578.332531653 1
4.0%
447695.144303535 1
4.0%
448111.060277943 2
8.0%
448217.053871045 1
4.0%
448273.205058814 1
4.0%
448321.330153611 1
4.0%
448386.840616924 1
4.0%
ValueCountFrequency (%)
451009.062585424 1
 
4.0%
450751.524331915 1
 
4.0%
449634.179903187 1
 
4.0%
449537.158609075 1
 
4.0%
449492.619419336 1
 
4.0%
449388.465849174 1
 
4.0%
449338.279636575 1
 
4.0%
449133.956765955 3
12.0%
448764.660042344 1
 
4.0%
448673.394560071 1
 
4.0%

축산업무구분명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
축산물운반업
15 
<NA>
10 

Length

Max length6
Median length6
Mean length5.2
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물운반업 15
60.0%
<NA> 10
40.0%

Length

2024-05-11T01:34:58.256218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:58.591358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 15
60.0%
na 10
40.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
24 
0
 
1

Length

Max length4
Median length4
Mean length3.88
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
96.0%
0 1
 
4.0%

Length

2024-05-11T01:34:59.036031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:34:59.605043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
96.0%
0 1
 
4.0%

권리주체일련번호
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
000
10 
<NA>
10 
L00
5 

Length

Max length4
Median length3
Mean length3.4
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row000
2nd row000
3rd row000
4th row000
5th rowL00

Common Values

ValueCountFrequency (%)
000 10
40.0%
<NA> 10
40.0%
L00 5
20.0%

Length

2024-05-11T01:35:00.039828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:00.475078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 10
40.0%
na 10
40.0%
l00 5
20.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
24 
0
 
1

Length

Max length4
Median length4
Mean length3.88
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
96.0%
0 1
 
4.0%

Length

2024-05-11T01:35:00.954522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:35:01.423096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
96.0%
0 1
 
4.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0324000032400000082004000120041108<NA>3폐업2폐업20150401<NA><NA><NA>485-4816,477-927320.0<NA>서울특별시 강동구 천호동 ***-*번지 *층<NA><NA>경안운송2015-04-01 17:57:13I2018-08-31 23:59:59.0<NA><NA><NA>축산물운반업<NA><NA>000<NA>
1324000032400000082005000120050712<NA>3폐업2폐업20051105<NA><NA><NA>475-920017.89<NA>서울특별시 강동구 천호동 ***-*번지 청광노블하임 ***호<NA><NA>특판2급식영업점2005-11-09 15:24:17I2018-08-31 23:59:59.0<NA>211809.144914448217.053871축산물운반업<NA><NA>000<NA>
2324000032400000082006000120060808<NA>1영업/정상0정상<NA><NA><NA><NA>470-687112.6<NA>서울특별시 강동구 성내동 ***-*번지 ***호<NA><NA>웰빙축산2006-08-08 17:58:37I2018-08-31 23:59:59.0<NA>211115.499906447695.144304축산물운반업<NA><NA>000<NA>
3324000032400000082007000120070831<NA>3폐업2폐업20100105<NA><NA><NA>821-160051.75<NA>서울특별시 강동구 고덕동 ***-**번지 진성빌딩 ***호<NA><NA>한국냉장2010-01-05 15:55:13I2018-08-31 23:59:59.0<NA>213751.740242451009.062585축산물운반업<NA><NA>000<NA>
4324000032400000082008000120080108<NA>1영업/정상0정상<NA><NA><NA><NA>486-890628.8<NA>서울특별시 강동구 성내동 ***-*번지 삼육B/D ***호<NA><NA>(주)미리내운수2008-01-08 10:55:31I2018-08-31 23:59:59.0<NA>210771.425676447578.332532축산물운반업<NA><NA>L00<NA>
5324000032400000082010000120100113<NA>1영업/정상0정상<NA><NA><NA><NA><NA>40.0<NA>서울특별시 강동구 길동 ***-*번지 탑스위트 ***<NA><NA>나수유통2010-01-13 11:23:27I2018-08-31 23:59:59.0<NA>212172.828537448321.330154축산물운반업<NA><NA>000<NA>
6324000032400000082010000220100920<NA>1영업/정상0정상<NA><NA><NA><NA><NA>20.0<NA>서울특별시 강동구 상일동 ***-*번지 *층<NA><NA>조은테크2010-09-20 17:42:04I2018-08-31 23:59:59.0<NA>215203.880916449492.619419축산물운반업<NA><NA>000<NA>
7324000032400000082011000120110803<NA>1영업/정상0정상<NA><NA><NA><NA>477-427728.0<NA>서울특별시 강동구 길동 ***-*번지서울특별시 강동구 천호대로 ****, 일성하이츠오피스텔 ***호 (길동)5355제이앤제이특수운수주식회사2019-04-16 09:36:05U2019-04-18 02:40:00.0<NA>211980.248326448111.060278축산물운반업<NA><NA>L00<NA>
8324000032400000082012000120120416<NA>1영업/정상0정상<NA><NA><NA><NA>477724325.0<NA>서울특별시 강동구 천호동 ***-*번지<NA><NA>티제이푸드2012-04-16 16:25:45I2018-08-31 23:59:59.0<NA>211893.281459449338.279637축산물운반업<NA><NA>000<NA>
9324000032400000082013000120130503<NA>3폐업2폐업20170209<NA><NA><NA>02-478-14880.0<NA>서울특별시 강동구 천호동 ***-*번지 일주빌딩 *층<NA><NA>(주)선진2017-02-10 10:00:03I2018-08-31 23:59:59.0<NA>211853.659177449388.465849축산물운반업<NA><NA>L00<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
15324000032400000082020000120200225<NA>1영업/정상0정상<NA><NA><NA><NA>2225960010.0<NA>서울특별시 강동구 천호동 **-*서울특별시 강동구 양재대로 ****, 선진빌딩 *층 (천호동)5314(주)선진에스씨엠2022-05-24 17:34:09U2021-12-04 22:07:00.0<NA>212481.618348449133.956766<NA><NA><NA><NA><NA>
1632400003240000008202000022020-02-25<NA>1영업/정상0정상<NA><NA><NA><NA>22225960010.0<NA>서울특별시 강동구 천호동 **-*서울특별시 강동구 양재대로 ****, 선진빌딩 *층 (천호동)5314(주)선진로지스틱스2023-11-23 16:51:31U2022-10-31 22:05:00.0<NA>212481.618348449133.956766<NA><NA><NA><NA><NA>
17324000032400000082020000320200225<NA>1영업/정상0정상<NA><NA><NA><NA>2225960010.0<NA>서울특별시 강동구 천호동 **-*서울특별시 강동구 양재대로 ****, 선진빌딩 *층 (천호동)5314(주)선진에프앤엘2022-06-08 19:11:14U2021-12-05 23:00:00.0<NA>212481.618348449133.956766<NA><NA><NA><NA><NA>
18324000032400000082021000120091207<NA>1영업/정상0정상<NA><NA><NA><NA>26285601433.05<NA>서울특별시 강동구 길동 ***-*서울특별시 강동구 천중로**길 **, *층 ***호 (길동, 광남캐스빌)5353삼원엠앤에스(주)2021-08-12 13:28:43U2021-08-14 02:40:00.0<NA>212246.35287448386.840617축산물운반업<NA>0L000
19324000032400000082021000220210617<NA>1영업/정상0정상<NA><NA><NA><NA>1544-6598335.61<NA>서울특별시 강동구 성내동 ***-* 성원빌딩서울특별시 강동구 성내로 **, 성원빌딩 *층 (성내동)5399(주)지에프케이2021-06-17 11:51:19I2021-06-19 00:22:54.0<NA>211039.290221447345.670673축산물운반업<NA><NA>L00<NA>
20324000032400000082022000120220726<NA>1영업/정상0정상<NA><NA><NA><NA><NA>34.57<NA>서울특별시 강동구 천호동 ***-** *층 ***호서울특별시 강동구 진황도로**길 **, *층 ***호 (천호동)5332씨티로지스 주식회사2022-07-26 18:13:57I2021-12-06 22:08:00.0<NA>211806.312288448673.39456<NA><NA><NA><NA><NA>
2132400003240000008202300012023-02-07<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 강동구 성내동 ***-** ***호서울특별시 강동구 성안로*길 **, *층 ***호 (성내동, 로즈빌리지)5400디제이운수2023-02-09 09:07:24U2022-12-01 23:01:00.0<NA>211057.900057447198.554623<NA><NA><NA><NA><NA>
2232400003240000008202300022023-11-17<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 강동구 길동 ***-** 강동 큐브 *차 *층 ***호서울특별시 강동구 진황도로 **, *층 ***호 (길동, 강동 큐브 *차)5354경진운수2023-11-17 15:09:55I2022-10-31 23:09:00.0<NA>211963.942242448273.205059<NA><NA><NA><NA><NA>
2332400003240000008202400012024-04-23<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 강동구 고덕동 *** 래미안힐스테이트고덕 ***동 ****호서울특별시 강동구 아리수로**길 **, ***동 **층 *호 (고덕동, 래미안힐스테이트고덕)5229현승2024-04-23 16:24:39I2023-12-03 22:05:00.0<NA>212926.089913450751.524332<NA><NA><NA><NA><NA>
2432400003240000008202400022024-04-30<NA>1영업/정상0정상<NA><NA><NA><NA><NA>4.0<NA>서울특별시 강동구 길동 ***-* *층 **호서울특별시 강동구 천중로 ***, *층 **호 (길동)5303엘에스로지스(주)2024-04-30 13:32:17I2023-12-05 00:02:00.0<NA>212655.051595448764.660042<NA><NA><NA><NA><NA>