Overview

Dataset statistics

Number of variables30
Number of observations26
Missing cells214
Missing cells (%)27.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory262.1 B

Variable types

Categorical10
Numeric5
DateTime4
Unsupported7
Text4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-18524/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 26 (100.0%) missing valuesMissing
폐업일자 has 20 (76.9%) missing valuesMissing
휴업시작일자 has 26 (100.0%) missing valuesMissing
휴업종료일자 has 26 (100.0%) missing valuesMissing
재개업일자 has 26 (100.0%) missing valuesMissing
전화번호 has 6 (23.1%) missing valuesMissing
소재지우편번호 has 26 (100.0%) missing valuesMissing
도로명주소 has 3 (11.5%) missing valuesMissing
도로명우편번호 has 3 (11.5%) missing valuesMissing
업태구분명 has 26 (100.0%) missing valuesMissing
축산물가공업구분명 has 26 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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 3 (11.5%) zerosZeros

Reproduction

Analysis started2024-05-11 09:33:52.644685
Analysis finished2024-05-11 09:33:53.623867
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
3220000
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 26
100.0%

Length

2024-05-11T09:33:53.939034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:33:54.306440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 26
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.22 × 1017
Minimum3.22 × 1017
Maximum3.22 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T09:33:54.731824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.22 × 1017
5-th percentile3.22 × 1017
Q13.22 × 1017
median3.22 × 1017
Q33.22 × 1017
95-th percentile3.22 × 1017
Maximum3.22 × 1017
Range220001
Interquartile range (IQR)69952

Descriptive statistics

Standard deviation64472.933
Coefficient of variation (CV)2.002265 × 10-13
Kurtosis0.12337297
Mean3.22 × 1017
Median Absolute Deviation (MAD)44992
Skewness-0.94091053
Sum8.372 × 1018
Variance4.1567591 × 109
MonotonicityStrictly increasing
2024-05-11T09:33:55.531088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
322000000820020001 1
 
3.8%
322000000820180001 1
 
3.8%
322000000820240002 1
 
3.8%
322000000820240001 1
 
3.8%
322000000820220003 1
 
3.8%
322000000820220002 1
 
3.8%
322000000820220001 1
 
3.8%
322000000820210003 1
 
3.8%
322000000820210002 1
 
3.8%
322000000820210001 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
322000000820020001 1
3.8%
322000000820020002 1
3.8%
322000000820040001 1
3.8%
322000000820060001 1
3.8%
322000000820100001 1
3.8%
322000000820130001 1
3.8%
322000000820140001 1
3.8%
322000000820140002 1
3.8%
322000000820150001 1
3.8%
322000000820150002 1
3.8%
ValueCountFrequency (%)
322000000820240002 1
3.8%
322000000820240001 1
3.8%
322000000820220003 1
3.8%
322000000820220002 1
3.8%
322000000820220001 1
3.8%
322000000820210003 1
3.8%
322000000820210002 1
3.8%
322000000820210001 1
3.8%
322000000820200001 1
3.8%
322000000820190002 1
3.8%

인허가일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2002-07-19 00:00:00
Maximum2024-04-25 00:00:00
2024-05-11T09:33:56.011846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:33:56.529349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
1
20 
3
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 20
76.9%
3 6
 
23.1%

Length

2024-05-11T09:33:57.179383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:33:57.604213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
76.9%
3 6
 
23.1%

영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업/정상
20 
폐업
6 

Length

Max length5
Median length5
Mean length4.3076923
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 20
76.9%
폐업 6
 
23.1%

Length

2024-05-11T09:33:58.098181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:33:58.538261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 20
76.9%
폐업 6
 
23.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
0
20 
2
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 20
76.9%
2 6
 
23.1%

Length

2024-05-11T09:33:59.001006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:33:59.427726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
76.9%
2 6
 
23.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
정상
20 
폐업
6 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 20
76.9%
폐업 6
 
23.1%

Length

2024-05-11T09:34:00.004271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:34:00.475741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 20
76.9%
폐업 6
 
23.1%

폐업일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing20
Missing (%)76.9%
Memory size340.0 B
Minimum2006-02-22 00:00:00
Maximum2024-01-29 00:00:00
2024-05-11T09:34:00.850902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:34:01.218200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

전화번호
Text

MISSING 

Distinct19
Distinct (%)95.0%
Missing6
Missing (%)23.1%
Memory size340.0 B
2024-05-11T09:34:01.707840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.35
Min length7

Characters and Unicode

Total characters187
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)90.0%

Sample

1st row02-546-0388
2nd row5715585
3rd row02-546-0045
4th row3404-4404
5th row1544-0675
ValueCountFrequency (%)
5173921 2
 
10.0%
070-4423-5107 1
 
5.0%
02-546-0388 1
 
5.0%
20511058 1
 
5.0%
4230525 1
 
5.0%
02-1599-0849 1
 
5.0%
5686079 1
 
5.0%
5779555 1
 
5.0%
69590023 1
 
5.0%
02-1800-8528 1
 
5.0%
Other values (9) 9
45.0%
2024-05-11T09:34:03.123249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 29
15.5%
0 29
15.5%
2 24
12.8%
- 20
10.7%
4 17
9.1%
1 13
7.0%
9 12
6.4%
8 12
6.4%
7 11
 
5.9%
3 10
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 167
89.3%
Dash Punctuation 20
 
10.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 29
17.4%
0 29
17.4%
2 24
14.4%
4 17
10.2%
1 13
7.8%
9 12
7.2%
8 12
7.2%
7 11
 
6.6%
3 10
 
6.0%
6 10
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 187
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 29
15.5%
0 29
15.5%
2 24
12.8%
- 20
10.7%
4 17
9.1%
1 13
7.0%
9 12
6.4%
8 12
6.4%
7 11
 
5.9%
3 10
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 187
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 29
15.5%
0 29
15.5%
2 24
12.8%
- 20
10.7%
4 17
9.1%
1 13
7.0%
9 12
6.4%
8 12
6.4%
7 11
 
5.9%
3 10
 
5.3%

소재지면적
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.926923
Minimum0
Maximum281.82
Zeros3
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T09:34:03.629018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130
median53.4
Q384.26
95-th percentile234.085
Maximum281.82
Range281.82
Interquartile range (IQR)54.26

Descriptive statistics

Standard deviation75.689964
Coefficient of variation (CV)1.0378878
Kurtosis1.7421022
Mean72.926923
Median Absolute Deviation (MAD)29.44
Skewness1.4850425
Sum1896.1
Variance5728.9706
MonotonicityNot monotonic
2024-05-11T09:34:04.164357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 3
 
11.5%
30.0 2
 
7.7%
66.0 2
 
7.7%
80.0 2
 
7.7%
130.0 1
 
3.8%
40.8 1
 
3.8%
281.82 1
 
3.8%
171.0 1
 
3.8%
70.0 1
 
3.8%
33.0 1
 
3.8%
Other values (11) 11
42.3%
ValueCountFrequency (%)
0.0 3
11.5%
1.0 1
 
3.8%
4.0 1
 
3.8%
12.0 1
 
3.8%
30.0 2
7.7%
32.0 1
 
3.8%
32.44 1
 
3.8%
33.0 1
 
3.8%
40.0 1
 
3.8%
40.8 1
 
3.8%
ValueCountFrequency (%)
281.82 1
3.8%
247.0 1
3.8%
195.34 1
3.8%
171.0 1
3.8%
130.0 1
3.8%
100.0 1
3.8%
85.68 1
3.8%
80.0 2
7.7%
70.0 1
3.8%
68.02 1
3.8%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

지번주소
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T09:34:04.647813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length29
Mean length24
Min length18

Characters and Unicode

Total characters624
Distinct characters63
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

Unique22 ?
Unique (%)84.6%

Sample

1st row서울특별시 강남구 논현동 **-*번지 *층
2nd row서울특별시 강남구 개포동 ***-** 소망빌딩 지하*층 ***호
3rd row서울특별시 강남구 논현동 ***-**
4th row서울특별시 강남구 역삼동 ***-** 삼성애니텔 ***호
5th row서울특별시 강남구 개포동 ***-*
ValueCountFrequency (%)
서울특별시 26
20.8%
강남구 26
20.8%
24
19.2%
논현동 6
 
4.8%
삼성동 5
 
4.0%
호 5
 
4.0%
역삼동 4
 
3.2%
개포동 4
 
3.2%
층 4
 
3.2%
번지 3
 
2.4%
Other values (14) 18
14.4%
2024-05-11T09:34:05.666104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 135
21.6%
110
17.6%
서 27
 
4.3%
시 27
 
4.3%
울 26
 
4.2%
특 26
 
4.2%
별 26
 
4.2%
강 26
 
4.2%
남 26
 
4.2%
구 26
 
4.2%
Other values (53) 169
27.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 344
55.1%
Other Punctuation 136
 
21.8%
Space Separator 110
 
17.6%
Dash Punctuation 23
 
3.7%
Uppercase Letter 11
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 27
 
7.8%
시 27
 
7.8%
울 26
 
7.6%
특 26
 
7.6%
별 26
 
7.6%
강 26
 
7.6%
남 26
 
7.6%
구 26
 
7.6%
동 26
 
7.6%
삼 10
 
2.9%
Other values (40) 98
28.5%
Uppercase Letter
ValueCountFrequency (%)
T 2
18.2%
R 2
18.2%
O 1
9.1%
N 1
9.1%
S 1
9.1%
K 1
9.1%
I 1
9.1%
F 1
9.1%
A 1
9.1%
Other Punctuation
ValueCountFrequency (%)
* 135
99.3%
, 1
 
0.7%
Space Separator
ValueCountFrequency (%)
110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 344
55.1%
Common 269
43.1%
Latin 11
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 27
 
7.8%
시 27
 
7.8%
울 26
 
7.6%
특 26
 
7.6%
별 26
 
7.6%
강 26
 
7.6%
남 26
 
7.6%
구 26
 
7.6%
동 26
 
7.6%
삼 10
 
2.9%
Other values (40) 98
28.5%
Latin
ValueCountFrequency (%)
T 2
18.2%
R 2
18.2%
O 1
9.1%
N 1
9.1%
S 1
9.1%
K 1
9.1%
I 1
9.1%
F 1
9.1%
A 1
9.1%
Common
ValueCountFrequency (%)
* 135
50.2%
110
40.9%
- 23
 
8.6%
, 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 344
55.1%
ASCII 280
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 135
48.2%
110
39.3%
- 23
 
8.2%
T 2
 
0.7%
R 2
 
0.7%
, 1
 
0.4%
O 1
 
0.4%
N 1
 
0.4%
S 1
 
0.4%
K 1
 
0.4%
Other values (3) 3
 
1.1%
Hangul
ValueCountFrequency (%)
서 27
 
7.8%
시 27
 
7.8%
울 26
 
7.6%
특 26
 
7.6%
별 26
 
7.6%
강 26
 
7.6%
남 26
 
7.6%
구 26
 
7.6%
동 26
 
7.6%
삼 10
 
2.9%
Other values (40) 98
28.5%

도로명주소
Text

MISSING 

Distinct22
Distinct (%)95.7%
Missing3
Missing (%)11.5%
Memory size340.0 B
2024-05-11T09:34:06.277910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length34.608696
Min length26

Characters and Unicode

Total characters796
Distinct characters83
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

Unique21 ?
Unique (%)91.3%

Sample

1st row서울특별시 강남구 개포로 ***, 소망빌딩 지하*층 ***호 (개포동)
2nd row서울특별시 강남구 학동로**길 **-** (논현동)
3rd row서울특별시 강남구 개포로***길 ** (일원동)
4th row서울특별시 강남구 테헤란로 *** (삼성동, 지하*층)
5th row서울특별시 강남구 개포로 ***, RIFATRON 빌딩 *층 (개포동)
ValueCountFrequency (%)
24
15.5%
서울특별시 23
14.8%
강남구 23
14.8%
층 13
 
8.4%
호 9
 
5.8%
삼성동 5
 
3.2%
논현동 5
 
3.2%
개포로 4
 
2.6%
테헤란로 3
 
1.9%
신사동 3
 
1.9%
Other values (30) 43
27.7%
2024-05-11T09:34:07.566443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 143
18.0%
132
16.6%
동 26
 
3.3%
서 25
 
3.1%
강 25
 
3.1%
남 25
 
3.1%
, 24
 
3.0%
시 24
 
3.0%
로 24
 
3.0%
구 23
 
2.9%
Other values (73) 325
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 436
54.8%
Other Punctuation 167
 
21.0%
Space Separator 132
 
16.6%
Close Punctuation 23
 
2.9%
Open Punctuation 23
 
2.9%
Uppercase Letter 11
 
1.4%
Dash Punctuation 3
 
0.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 26
 
6.0%
서 25
 
5.7%
강 25
 
5.7%
남 25
 
5.7%
시 24
 
5.5%
로 24
 
5.5%
구 23
 
5.3%
울 23
 
5.3%
별 23
 
5.3%
특 23
 
5.3%
Other values (57) 195
44.7%
Uppercase Letter
ValueCountFrequency (%)
T 2
18.2%
R 2
18.2%
N 1
9.1%
A 1
9.1%
F 1
9.1%
I 1
9.1%
K 1
9.1%
S 1
9.1%
O 1
9.1%
Other Punctuation
ValueCountFrequency (%)
* 143
85.6%
, 24
 
14.4%
Space Separator
ValueCountFrequency (%)
132
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 436
54.8%
Common 349
43.8%
Latin 11
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 26
 
6.0%
서 25
 
5.7%
강 25
 
5.7%
남 25
 
5.7%
시 24
 
5.5%
로 24
 
5.5%
구 23
 
5.3%
울 23
 
5.3%
별 23
 
5.3%
특 23
 
5.3%
Other values (57) 195
44.7%
Latin
ValueCountFrequency (%)
T 2
18.2%
R 2
18.2%
N 1
9.1%
A 1
9.1%
F 1
9.1%
I 1
9.1%
K 1
9.1%
S 1
9.1%
O 1
9.1%
Common
ValueCountFrequency (%)
* 143
41.0%
132
37.8%
, 24
 
6.9%
) 23
 
6.6%
( 23
 
6.6%
- 3
 
0.9%
~ 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 436
54.8%
ASCII 360
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 143
39.7%
132
36.7%
, 24
 
6.7%
) 23
 
6.4%
( 23
 
6.4%
- 3
 
0.8%
T 2
 
0.6%
R 2
 
0.6%
~ 1
 
0.3%
N 1
 
0.3%
Other values (6) 6
 
1.7%
Hangul
ValueCountFrequency (%)
동 26
 
6.0%
서 25
 
5.7%
강 25
 
5.7%
남 25
 
5.7%
시 24
 
5.5%
로 24
 
5.5%
구 23
 
5.3%
울 23
 
5.3%
별 23
 
5.3%
특 23
 
5.3%
Other values (57) 195
44.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)87.0%
Missing3
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean6179.0435
Minimum6017
Maximum6349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T09:34:08.052764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6017
5-th percentile6024.5
Q16094.5
median6159
Q36280.5
95-th percentile6339
Maximum6349
Range332
Interquartile range (IQR)186

Descriptive statistics

Standard deviation112.3074
Coefficient of variation (CV)0.018175532
Kurtosis-1.2833015
Mean6179.0435
Median Absolute Deviation (MAD)74
Skewness0.25222901
Sum142118
Variance12612.953
MonotonicityNot monotonic
2024-05-11T09:34:08.593813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
6339 2
 
7.7%
6109 2
 
7.7%
6088 2
 
7.7%
6193 1
 
3.8%
6121 1
 
3.8%
6158 1
 
3.8%
6060 1
 
3.8%
6024 1
 
3.8%
6029 1
 
3.8%
6349 1
 
3.8%
Other values (10) 10
38.5%
(Missing) 3
 
11.5%
ValueCountFrequency (%)
6017 1
3.8%
6024 1
3.8%
6029 1
3.8%
6060 1
3.8%
6088 2
7.7%
6101 1
3.8%
6109 2
7.7%
6121 1
3.8%
6158 1
3.8%
6159 1
3.8%
ValueCountFrequency (%)
6349 1
3.8%
6339 2
7.7%
6336 1
3.8%
6329 1
3.8%
6309 1
3.8%
6252 1
3.8%
6233 1
3.8%
6212 1
3.8%
6193 1
3.8%
6164 1
3.8%

사업장명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T09:34:09.211846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length9.0769231
Min length5

Characters and Unicode

Total characters236
Distinct characters88
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

Unique26 ?
Unique (%)100.0%

Sample

1st row(주)에이에프에스코퍼레이션
2nd row(주)한국트라
3rd row(주)나름티에스
4th row(주)지엘에스물류
5th row신우CNT
ValueCountFrequency (%)
주식회사 6
 
18.8%
주)에이에프에스코퍼레이션 1
 
3.1%
금강로지스틱스(주 1
 
3.1%
새이버라인(주 1
 
3.1%
팀프레시 1
 
3.1%
바로고 1
 
3.1%
주)글로벌물류네트웍스 1
 
3.1%
현대글로빌 1
 
3.1%
소망로지스 1
 
3.1%
주)케이트란 1
 
3.1%
Other values (17) 17
53.1%
2024-05-11T09:34:10.399673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 25
 
10.6%
( 18
 
7.6%
) 18
 
7.6%
스 16
 
6.8%
로 9
 
3.8%
에 7
 
3.0%
지 7
 
3.0%
이 6
 
2.5%
사 6
 
2.5%
회 6
 
2.5%
Other values (78) 118
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 191
80.9%
Open Punctuation 18
 
7.6%
Close Punctuation 18
 
7.6%
Space Separator 6
 
2.5%
Uppercase Letter 3
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 25
 
13.1%
스 16
 
8.4%
로 9
 
4.7%
에 7
 
3.7%
지 7
 
3.7%
이 6
 
3.1%
사 6
 
3.1%
회 6
 
3.1%
식 6
 
3.1%
트 5
 
2.6%
Other values (72) 98
51.3%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
N 1
33.3%
C 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 191
80.9%
Common 42
 
17.8%
Latin 3
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 25
 
13.1%
스 16
 
8.4%
로 9
 
4.7%
에 7
 
3.7%
지 7
 
3.7%
이 6
 
3.1%
사 6
 
3.1%
회 6
 
3.1%
식 6
 
3.1%
트 5
 
2.6%
Other values (72) 98
51.3%
Common
ValueCountFrequency (%)
( 18
42.9%
) 18
42.9%
6
 
14.3%
Latin
ValueCountFrequency (%)
T 1
33.3%
N 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 191
80.9%
ASCII 45
 
19.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 25
 
13.1%
스 16
 
8.4%
로 9
 
4.7%
에 7
 
3.7%
지 7
 
3.7%
이 6
 
3.1%
사 6
 
3.1%
회 6
 
3.1%
식 6
 
3.1%
트 5
 
2.6%
Other values (72) 98
51.3%
ASCII
ValueCountFrequency (%)
( 18
40.0%
) 18
40.0%
6
 
13.3%
T 1
 
2.2%
N 1
 
2.2%
C 1
 
2.2%

최종수정일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2006-03-02 11:40:42
Maximum2024-04-25 13:26:36
2024-05-11T09:34:10.914936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:34:11.437146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
U
20 
I
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 20
76.9%
I 6
 
23.1%

Length

2024-05-11T09:34:11.938339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:34:12.304663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 20
76.9%
i 6
 
23.1%

데이터갱신일자
Date

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:07:00
2024-05-11T09:34:12.927601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:34:13.329469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

좌표정보(X)
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204249.4
Minimum202094.48
Maximum208937.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T09:34:13.992089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202094.48
5-th percentile202470.22
Q1203012.9
median203663.08
Q3205110.11
95-th percentile207362.9
Maximum208937.76
Range6843.2838
Interquartile range (IQR)2097.2123

Descriptive statistics

Standard deviation1722.7229
Coefficient of variation (CV)0.0084344084
Kurtosis0.84098371
Mean204249.4
Median Absolute Deviation (MAD)936.14941
Skewness1.1173865
Sum5310484.4
Variance2967774.1
MonotonicityNot monotonic
2024-05-11T09:34:14.600681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
203663.080890399 2
 
7.7%
202992.3 1
 
3.8%
204729.491457376 1
 
3.8%
202425.73 1
 
3.8%
204809.356678073 1
 
3.8%
203124.417767117 1
 
3.8%
203317.643415778 1
 
3.8%
207493.558095887 1
 
3.8%
202801.183732794 1
 
3.8%
202094.476882717 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
202094.476882717 1
3.8%
202425.73 1
3.8%
202603.676063723 1
3.8%
202667.551184905 1
3.8%
202791.408103498 1
3.8%
202801.183732794 1
3.8%
202992.3 1
3.8%
203074.684010896 1
3.8%
203124.417767117 1
3.8%
203164.963466383 1
3.8%
ValueCountFrequency (%)
208937.760652081 1
3.8%
207493.558095887 1
3.8%
206970.919291372 1
3.8%
205955.784113137 1
3.8%
205940.627824515 1
3.8%
205577.591240598 1
3.8%
205210.358779172 1
3.8%
204809.356678073 1
3.8%
204729.491457376 1
3.8%
204539.85 1
3.8%

좌표정보(Y)
Real number (ℝ)

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean444731.33
Minimum441876.25
Maximum447128.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T09:34:14.991823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441876.25
5-th percentile442892.61
Q1443602.63
median444906.25
Q3445830.81
95-th percentile446781.16
Maximum447128.92
Range5252.674
Interquartile range (IQR)2228.1787

Descriptive statistics

Standard deviation1369.877
Coefficient of variation (CV)0.0030802351
Kurtosis-0.68819443
Mean444731.33
Median Absolute Deviation (MAD)1159.5789
Skewness-0.16945262
Sum11563014
Variance1876563.1
MonotonicityNot monotonic
2024-05-11T09:34:15.423165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
446065.828095211 2
 
7.7%
445951.805 1
 
3.8%
445009.834777432 1
 
3.8%
444852.88 1
 
3.8%
444959.618486655 1
 
3.8%
445144.507439899 1
 
3.8%
446071.814521908 1
 
3.8%
443687.279232247 1
 
3.8%
446822.567815609 1
 
3.8%
446656.937041013 1
 
3.8%
Other values (15) 15
57.7%
ValueCountFrequency (%)
441876.248913056 1
3.8%
442873.588039887 1
3.8%
442949.683098873 1
3.8%
443003.318632727 1
3.8%
443281.64936354 1
3.8%
443299.218136257 1
3.8%
443574.411625824 1
3.8%
443687.279232247 1
3.8%
443910.083022856 1
3.8%
444532.992753845 1
3.8%
ValueCountFrequency (%)
447128.922937678 1
3.8%
446822.567815609 1
3.8%
446656.937041013 1
3.8%
446071.814521908 1
3.8%
446065.828095211 2
7.7%
445951.805 1
3.8%
445467.814031083 1
3.8%
445154.42225208 1
3.8%
445144.507439899 1
3.8%
445098.521748767 1
3.8%

축산업무구분명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
축산물운반업
13 
<NA>
13 

Length

Max length6
Median length5
Mean length5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물운반업 13
50.0%
<NA> 13
50.0%

Length

2024-05-11T09:34:16.035619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:34:16.561915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 13
50.0%
na 13
50.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

축산일련번호
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
23 
0
3 

Length

Max length4
Median length4
Mean length3.6538462
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> 23
88.5%
0 3
 
11.5%

Length

2024-05-11T09:34:17.200802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:34:17.664035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
88.5%
0 3
 
11.5%

권리주체일련번호
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
13 
L00
11 
000
2 

Length

Max length4
Median length3.5
Mean length3.5
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowL00
2nd row<NA>
3rd rowL00
4th rowL00
5th row000

Common Values

ValueCountFrequency (%)
<NA> 13
50.0%
L00 11
42.3%
000 2
 
7.7%

Length

2024-05-11T09:34:18.127352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:34:18.422947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
50.0%
l00 11
42.3%
000 2
 
7.7%

총인원
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
23 
0
3 

Length

Max length4
Median length4
Mean length3.6538462
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> 23
88.5%
0 3
 
11.5%

Length

2024-05-11T09:34:18.825996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:34:19.221336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
88.5%
0 3
 
11.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0322000032200000082002000120020809<NA>3폐업2폐업20060222<NA><NA><NA>02-546-0388130.0<NA>서울특별시 강남구 논현동 **-*번지 *층<NA><NA>(주)에이에프에스코퍼레이션2006-03-02 11:40:42I2018-08-31 23:59:59.0<NA>202992.3445951.805축산물운반업<NA><NA>L00<NA>
132200003220000008200200022002-07-19<NA>1영업/정상0정상<NA><NA><NA><NA>57155854.0<NA>서울특별시 강남구 개포동 ***-** 소망빌딩 지하*층 ***호서울특별시 강남구 개포로 ***, 소망빌딩 지하*층 ***호 (개포동)6329(주)한국트라2023-11-17 10:18:37U2022-10-31 23:09:00.0<NA>205940.627825443003.318633<NA><NA><NA><NA><NA>
2322000032200000082004000120040728<NA>3폐업2폐업20210518<NA><NA><NA>02-546-00450.0<NA>서울특별시 강남구 논현동 ***-**서울특별시 강남구 학동로**길 **-** (논현동)6101(주)나름티에스2021-05-18 10:16:37U2021-05-20 02:40:00.0<NA>203350.08066445467.814031축산물운반업<NA><NA>L00<NA>
3322000032200000082006000120060710<NA>3폐업2폐업20210423<NA><NA><NA>3404-440466.0<NA>서울특별시 강남구 역삼동 ***-** 삼성애니텔 ***호<NA><NA>(주)지엘에스물류2021-05-11 09:47:13U2021-05-13 02:40:00.0<NA>202791.408103443281.649364축산물운반업<NA><NA>L00<NA>
4322000032200000082010000120100920<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 강남구 개포동 ***-*서울특별시 강남구 개포로***길 ** (일원동)6339신우CNT2020-11-17 09:48:04U2020-11-19 02:40:00.0<NA>205955.784113442949.683099축산물운반업<NA><NA>000<NA>
5322000032200000082013000120130516<NA>3폐업2폐업20220208<NA><NA><NA>1544-067532.0<NA>서울특별시 강남구 대치동 ***<NA><NA>(주)아주종합물류2022-02-10 09:57:48U2022-02-12 02:40:00.0<NA>205577.591241444805.768174축산물운반업<NA>0L000
6322000032200000082014000120140924<NA>3폐업2폐업20150821<NA><NA><NA><NA>12.0<NA>서울특별시 강남구 삼성동 ***-*번지서울특별시 강남구 테헤란로 *** (삼성동, 지하*층)6164(주)영서이앤에스서울영업소2015-08-21 17:06:15I2018-08-31 23:59:59.0<NA>205210.358779445154.422252축산물운반업<NA><NA>L00<NA>
7322000032200000082014000220141219<NA>1영업/정상0정상<NA><NA><NA><NA>02-592-5678195.34<NA>서울특별시 강남구 개포동 ****-* RIFATRON 빌딩 *층서울특별시 강남구 개포로 ***, RIFATRON 빌딩 *층 (개포동)6309씨비케이트랜스포트(주)2022-11-08 19:39:56U2021-10-31 23:00:00.0<NA>204395.474276441876.248913<NA><NA><NA><NA><NA>
8322000032200000082015000120150714<NA>1영업/정상0정상<NA><NA><NA><NA>4250206247.0<NA>서울특별시 강남구 논현동 ***-** KTS빌딩서울특별시 강남구 봉은사로 ***, KTS빌딩 **층 (논현동)6109(주)유안로지스틱스2021-07-08 14:18:38U2021-07-10 02:40:00.0<NA>203074.684011445098.521749축산물운반업<NA>0L000
9322000032200000082015000220150723<NA>1영업/정상0정상<NA><NA><NA><NA>02-512-247280.0<NA>서울특별시 강남구 신사동 ***-**서울특별시 강남구 언주로***길 **, *층 (신사동)6017도하인터내셔널(주)2021-03-08 14:13:45U2021-03-10 02:40:00.0<NA>203164.963466447128.922938축산물운반업<NA><NA>L00<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
1632200003220000008201900022019-11-11<NA>1영업/정상0정상<NA><NA><NA><NA>070-4423-510730.0<NA>서울특별시 강남구 대치동 ***-**서울특별시 강남구 테헤란로 ***, 다봉빌딩 **~**층 (대치동)6193주식회사 부릉2023-07-06 09:50:06U2022-12-07 00:08:00.0<NA>204539.85444768.935<NA><NA><NA><NA><NA>
17322000032200000082020000120200421<NA>1영업/정상0정상<NA><NA><NA><NA>6959002368.02<NA>서울특별시 강남구 역삼동 ***-** 메가시티오피스텔 **층 ****, ****호서울특별시 강남구 테헤란로*길 **, 메가시티오피스텔 **층 ****, ****호 (역삼동)6233주식회사 에스비씨2022-07-22 15:30:25U2021-12-06 22:04:00.0<NA>202603.676064443910.083023<NA><NA><NA><NA><NA>
1832200003220000008202100012021-04-20<NA>1영업/정상0정상<NA><NA><NA><NA>577955585.68<NA>서울특별시 강남구 수서동 *** ****호서울특별시 강남구 밤고개로*길 **, 수서현대벤쳐빌 ****호 (수서동)6349(주)케이트란2023-02-20 09:50:17U2022-12-01 22:02:00.0<NA>208937.760652442873.58804<NA><NA><NA><NA><NA>
19322000032200000082021000220210823<NA>1영업/정상0정상<NA><NA><NA><NA><NA>80.0<NA>서울특별시 강남구 신사동 ***-** ***호서울특별시 강남구 논현로***길 **, ***호 (신사동)6029소망로지스2021-09-14 09:26:00U2021-09-16 02:40:00.0<NA>202094.476883446656.937041축산물운반업<NA>00000
2032200003220000008202100032021-08-24<NA>1영업/정상0정상<NA><NA><NA><NA>568607933.0<NA>서울특별시 강남구 신사동 ***-** 글로빌 빌딩 *층서울특별시 강남구 언주로***길 *-*, 글로빌 빌딩 *층 (신사동)6024현대글로빌 주식회사2023-05-19 11:14:53U2022-12-04 22:01:00.0<NA>202801.183733446822.567816<NA><NA><NA><NA><NA>
21322000032200000082022000120220901<NA>1영업/정상0정상<NA><NA><NA><NA>02-1599-084970.0<NA>서울특별시 강남구 일원동 ***-*서울특별시 강남구 개포로 ***, 강남빌딩 *층 (일원동)6339(주)글로벌물류네트웍스2022-09-01 22:26:23I2021-12-09 00:03:00.0<NA>207493.558096443687.279232<NA><NA><NA><NA><NA>
2232200003220000008202200022022-09-13<NA>1영업/정상0정상<NA><NA><NA><NA><NA>30.0<NA>서울특별시 강남구 논현동 *** 씨앤에스빌딩서울특별시 강남구 언주로***길 **, 씨앤에스빌딩 *층 (논현동)6060주식회사 바로고2024-02-23 16:03:17U2023-12-01 22:05:00.0<NA>203317.643416446071.814522<NA><NA><NA><NA><NA>
2332200003220000008202200032020-06-25<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>
2432200003220000008202400012024-03-06<NA>1영업/정상0정상<NA><NA><NA><NA><NA>281.82<NA>서울특별시 강남구 삼성동 ***-**서울특별시 강남구 테헤란로 ***, *층 (삼성동)6158새이버라인(주)2024-03-06 11:21:47I2023-12-03 00:08:00.0<NA>204809.356678444959.618487<NA><NA><NA><NA><NA>
2532200003220000008202400022024-04-25<NA>1영업/정상0정상<NA><NA><NA><NA>02-6949-132040.8<NA>서울특별시 강남구 논현동 ***-* 거평타운오피스텔서울특별시 강남구 봉은사로 ***, 거평타운오피스텔 ****호 (논현동)6121(주)로지스그라운드2024-04-25 13:26:36I2023-12-03 22:07:00.0<NA>202425.73444852.88<NA><NA><NA><NA><NA>