Overview

Dataset statistics

Number of variables30
Number of observations21
Missing cells206
Missing cells (%)32.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory263.3 B

Variable types

Categorical9
Numeric5
DateTime4
Unsupported8
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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-16545/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 21 (100.0%) missing valuesMissing
폐업일자 has 11 (52.4%) missing valuesMissing
휴업시작일자 has 21 (100.0%) missing valuesMissing
휴업종료일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
전화번호 has 5 (23.8%) missing valuesMissing
소재지면적 has 14 (66.7%) missing valuesMissing
소재지우편번호 has 21 (100.0%) missing valuesMissing
도로명주소 has 3 (14.3%) missing valuesMissing
도로명우편번호 has 3 (14.3%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
좌표정보(X) has 1 (4.8%) missing valuesMissing
좌표정보(Y) has 1 (4.8%) missing valuesMissing
축산물가공업구분명 has 21 (100.0%) missing valuesMissing
축산일련번호 has 21 (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
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 2 (9.5%) zerosZeros

Reproduction

Analysis started2024-05-17 23:08:01.651242
Analysis finished2024-05-17 23:08:02.371801
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
3040000
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 21
100.0%

Length

2024-05-18T08:08:02.585865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:08:02.920677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 21
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.04 × 1017
Minimum3.04 × 1017
Maximum3.04 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-18T08:08:03.277486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.04 × 1017
5-th percentile3.04 × 1017
Q13.04 × 1017
median3.04 × 1017
Q33.04 × 1017
95-th percentile3.04 × 1017
Maximum3.04 × 1017
Range210000
Interquartile range (IQR)90048

Descriptive statistics

Standard deviation61643.108
Coefficient of variation (CV)2.0277338 × 10-13
Kurtosis0.42806639
Mean3.04 × 1017
Median Absolute Deviation (MAD)10048
Skewness-1.263419
Sum6.384 × 1018
Variance3.7998727 × 109
MonotonicityStrictly increasing
2024-05-18T08:08:03.697718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
304000001320030001 1
 
4.8%
304000001320060001 1
 
4.8%
304000001320240001 1
 
4.8%
304000001320230002 1
 
4.8%
304000001320230001 1
 
4.8%
304000001320220006 1
 
4.8%
304000001320220005 1
 
4.8%
304000001320220004 1
 
4.8%
304000001320220003 1
 
4.8%
304000001320220002 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
304000001320030001 1
4.8%
304000001320060001 1
4.8%
304000001320100001 1
4.8%
304000001320110001 1
4.8%
304000001320120001 1
4.8%
304000001320130001 1
4.8%
304000001320180001 1
4.8%
304000001320200001 1
4.8%
304000001320200002 1
4.8%
304000001320210001 1
4.8%
ValueCountFrequency (%)
304000001320240001 1
4.8%
304000001320230002 1
4.8%
304000001320230001 1
4.8%
304000001320220006 1
4.8%
304000001320220005 1
4.8%
304000001320220004 1
4.8%
304000001320220003 1
4.8%
304000001320220002 1
4.8%
304000001320220001 1
4.8%
304000001320210003 1
4.8%

인허가일자
Date

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2003-05-27 00:00:00
Maximum2024-01-26 00:00:00
2024-05-18T08:08:04.129811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:08:04.494238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
11 
3
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 11
52.4%
3 10
47.6%

Length

2024-05-18T08:08:04.883489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:08:05.243962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 11
52.4%
3 10
47.6%

영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업/정상
11 
폐업
10 

Length

Max length5
Median length5
Mean length3.5714286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 11
52.4%
폐업 10
47.6%

Length

2024-05-18T08:08:05.707330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:08:06.258931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 11
52.4%
폐업 10
47.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
11 
2
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 11
52.4%
2 10
47.6%

Length

2024-05-18T08:08:06.700138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:08:07.082360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 11
52.4%
2 10
47.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
정상
11 
폐업
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 11
52.4%
폐업 10
47.6%

Length

2024-05-18T08:08:07.540193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:08:07.931552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 11
52.4%
폐업 10
47.6%

폐업일자
Date

MISSING 

Distinct9
Distinct (%)90.0%
Missing11
Missing (%)52.4%
Memory size300.0 B
Minimum2005-02-01 00:00:00
Maximum2023-11-28 00:00:00
2024-05-18T08:08:08.496096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:08:09.092077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

전화번호
Text

MISSING 

Distinct15
Distinct (%)93.8%
Missing5
Missing (%)23.8%
Memory size300.0 B
2024-05-18T08:08:09.631788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.875
Min length8

Characters and Unicode

Total characters174
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

Unique14 ?
Unique (%)87.5%

Sample

1st row456-1479
2nd row447-2582
3rd row02-3436-1114
4th row02-3436-1114
5th row452-0980
ValueCountFrequency (%)
02-3436-1114 2
 
12.5%
456-1479 1
 
6.2%
447-2582 1
 
6.2%
452-0980 1
 
6.2%
2207-2344 1
 
6.2%
02-497-6744 1
 
6.2%
070-8864-1212 1
 
6.2%
02-469-7300 1
 
6.2%
02-463-1903 1
 
6.2%
02-6953-4039 1
 
6.2%
Other values (5) 5
31.2%
2024-05-18T08:08:10.683414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28
16.1%
- 26
14.9%
2 24
13.8%
4 24
13.8%
3 14
8.0%
1 13
7.5%
9 11
 
6.3%
6 9
 
5.2%
8 9
 
5.2%
5 8
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 148
85.1%
Dash Punctuation 26
 
14.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
18.9%
2 24
16.2%
4 24
16.2%
3 14
9.5%
1 13
8.8%
9 11
 
7.4%
6 9
 
6.1%
8 9
 
6.1%
5 8
 
5.4%
7 8
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 174
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 28
16.1%
- 26
14.9%
2 24
13.8%
4 24
13.8%
3 14
8.0%
1 13
7.5%
9 11
 
6.3%
6 9
 
5.2%
8 9
 
5.2%
5 8
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 174
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28
16.1%
- 26
14.9%
2 24
13.8%
4 24
13.8%
3 14
8.0%
1 13
7.5%
9 11
 
6.3%
6 9
 
5.2%
8 9
 
5.2%
5 8
 
4.6%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)85.7%
Missing14
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean496.01429
Minimum0
Maximum1740.57
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-18T08:08:11.081658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q147.5
median104.2
Q3766.165
95-th percentile1450.599
Maximum1740.57
Range1740.57
Interquartile range (IQR)718.665

Descriptive statistics

Standard deviation645.67739
Coefficient of variation (CV)1.3017314
Kurtosis1.528233
Mean496.01429
Median Absolute Deviation (MAD)104.2
Skewness1.3856497
Sum3472.1
Variance416899.29
MonotonicityNot monotonic
2024-05-18T08:08:11.530279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 2
 
9.5%
104.2 1
 
4.8%
95.0 1
 
4.8%
774.0 1
 
4.8%
1740.57 1
 
4.8%
758.33 1
 
4.8%
(Missing) 14
66.7%
ValueCountFrequency (%)
0.0 2
9.5%
95.0 1
4.8%
104.2 1
4.8%
758.33 1
4.8%
774.0 1
4.8%
1740.57 1
4.8%
ValueCountFrequency (%)
1740.57 1
4.8%
774.0 1
4.8%
758.33 1
4.8%
104.2 1
4.8%
95.0 1
4.8%
0.0 2
9.5%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

지번주소
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-18T08:08:12.092523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length29
Mean length27.714286
Min length19

Characters and Unicode

Total characters582
Distinct characters65
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

Unique19 ?
Unique (%)90.5%

Sample

1st row서울특별시 광진구 중곡동 ***-** 번지 보광빌라 *-***호
2nd row서울특별시 광진구 구의동 ***-**번지 아크로리버 B***
3rd row서울특별시 광진구 능동 ***-**번지 노블레스빌 ***, ***호
4th row서울특별시 광진구 능동 ***-** 노블레스빌 ***,***호
5th row서울특별시 광진구 중곡동 **-**번지
ValueCountFrequency (%)
서울특별시 21
18.1%
광진구 21
18.1%
17
14.7%
번지 6
 
5.2%
군자동 5
 
4.3%
중곡동 4
 
3.4%
호 4
 
3.4%
능동 4
 
3.4%
층 3
 
2.6%
광장동 3
 
2.6%
Other values (21) 28
24.1%
2024-05-18T08:08:13.362349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 119
20.4%
108
18.6%
광 26
 
4.5%
동 26
 
4.5%
시 24
 
4.1%
서 23
 
4.0%
구 23
 
4.0%
진 22
 
3.8%
특 21
 
3.6%
별 21
 
3.6%
Other values (55) 169
29.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 331
56.9%
Other Punctuation 122
 
21.0%
Space Separator 108
 
18.6%
Dash Punctuation 20
 
3.4%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 26
 
7.9%
동 26
 
7.9%
시 24
 
7.3%
서 23
 
6.9%
구 23
 
6.9%
진 22
 
6.6%
특 21
 
6.3%
별 21
 
6.3%
울 21
 
6.3%
지 8
 
2.4%
Other values (50) 116
35.0%
Other Punctuation
ValueCountFrequency (%)
* 119
97.5%
, 3
 
2.5%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 331
56.9%
Common 250
43.0%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 26
 
7.9%
동 26
 
7.9%
시 24
 
7.3%
서 23
 
6.9%
구 23
 
6.9%
진 22
 
6.6%
특 21
 
6.3%
별 21
 
6.3%
울 21
 
6.3%
지 8
 
2.4%
Other values (50) 116
35.0%
Common
ValueCountFrequency (%)
* 119
47.6%
108
43.2%
- 20
 
8.0%
, 3
 
1.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 331
56.9%
ASCII 251
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 119
47.4%
108
43.0%
- 20
 
8.0%
, 3
 
1.2%
B 1
 
0.4%
Hangul
ValueCountFrequency (%)
광 26
 
7.9%
동 26
 
7.9%
시 24
 
7.3%
서 23
 
6.9%
구 23
 
6.9%
진 22
 
6.6%
특 21
 
6.3%
별 21
 
6.3%
울 21
 
6.3%
지 8
 
2.4%
Other values (50) 116
35.0%

도로명주소
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing3
Missing (%)14.3%
Memory size300.0 B
2024-05-18T08:08:13.938591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length36.5
Mean length33.888889
Min length23

Characters and Unicode

Total characters610
Distinct characters70
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)100.0%

Sample

1st row서울특별시 광진구 천호대로 *** (능동)
2nd row서울특별시 광진구 긴고랑로**길 ** (중곡동)
3rd row서울특별시 광진구 광나루로 ***-* (구의동)
4th row서울특별시 광진구 광나루로**길 **-* (군자동)
5th row서울특별시 광진구 능동로 ***-*, ***호 (중곡동)
ValueCountFrequency (%)
서울특별시 18
14.5%
광진구 18
14.5%
17
13.7%
호 7
 
5.6%
층 6
 
4.8%
군자동 5
 
4.0%
아차산로 5
 
4.0%
광장동 3
 
2.4%
화양동 3
 
2.4%
능동 3
 
2.4%
Other values (28) 39
31.5%
2024-05-18T08:08:15.360675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
17.4%
* 92
 
15.1%
동 29
 
4.8%
광 25
 
4.1%
시 21
 
3.4%
서 20
 
3.3%
진 19
 
3.1%
구 19
 
3.1%
로 18
 
3.0%
) 18
 
3.0%
Other values (60) 243
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 356
58.4%
Other Punctuation 108
 
17.7%
Space Separator 106
 
17.4%
Close Punctuation 18
 
3.0%
Open Punctuation 18
 
3.0%
Dash Punctuation 3
 
0.5%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 29
 
8.1%
광 25
 
7.0%
시 21
 
5.9%
서 20
 
5.6%
진 19
 
5.3%
구 19
 
5.3%
로 18
 
5.1%
울 18
 
5.1%
별 18
 
5.1%
특 18
 
5.1%
Other values (53) 151
42.4%
Other Punctuation
ValueCountFrequency (%)
* 92
85.2%
, 16
 
14.8%
Space Separator
ValueCountFrequency (%)
106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 356
58.4%
Common 253
41.5%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 29
 
8.1%
광 25
 
7.0%
시 21
 
5.9%
서 20
 
5.6%
진 19
 
5.3%
구 19
 
5.3%
로 18
 
5.1%
울 18
 
5.1%
별 18
 
5.1%
특 18
 
5.1%
Other values (53) 151
42.4%
Common
ValueCountFrequency (%)
106
41.9%
* 92
36.4%
) 18
 
7.1%
( 18
 
7.1%
, 16
 
6.3%
- 3
 
1.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 356
58.4%
ASCII 254
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
41.7%
* 92
36.2%
) 18
 
7.1%
( 18
 
7.1%
, 16
 
6.3%
- 3
 
1.2%
B 1
 
0.4%
Hangul
ValueCountFrequency (%)
동 29
 
8.1%
광 25
 
7.0%
시 21
 
5.9%
서 20
 
5.6%
진 19
 
5.3%
구 19
 
5.3%
로 18
 
5.1%
울 18
 
5.1%
별 18
 
5.1%
특 18
 
5.1%
Other values (53) 151
42.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)77.8%
Missing3
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean4994.3333
Minimum4910
Maximum5065
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-18T08:08:15.837542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4910
5-th percentile4916.8
Q14977.25
median4996.5
Q35020
95-th percentile5065
Maximum5065
Range155
Interquartile range (IQR)42.75

Descriptive statistics

Standard deviation43.884876
Coefficient of variation (CV)0.0087869338
Kurtosis-0.0019349317
Mean4994.3333
Median Absolute Deviation (MAD)23.5
Skewness-0.4266075
Sum89898
Variance1925.8824
MonotonicityNot monotonic
2024-05-18T08:08:16.342382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
4987 2
9.5%
5020 2
9.5%
4996 2
9.5%
5065 2
9.5%
4927 1
 
4.8%
5031 1
 
4.8%
5005 1
 
4.8%
4918 1
 
4.8%
5003 1
 
4.8%
5029 1
 
4.8%
Other values (4) 4
19.0%
(Missing) 3
14.3%
ValueCountFrequency (%)
4910 1
4.8%
4918 1
4.8%
4927 1
4.8%
4968 1
4.8%
4974 1
4.8%
4987 2
9.5%
4996 2
9.5%
4997 1
4.8%
5003 1
4.8%
5005 1
4.8%
ValueCountFrequency (%)
5065 2
9.5%
5031 1
4.8%
5029 1
4.8%
5020 2
9.5%
5005 1
4.8%
5003 1
4.8%
4997 1
4.8%
4996 2
9.5%
4987 2
9.5%
4974 1
4.8%

사업장명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-18T08:08:16.927931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length8.1428571
Min length3

Characters and Unicode

Total characters171
Distinct characters82
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 (%)100.0%

Sample

1st row노그로스
2nd row하나메디컴스오토
3rd row메디포인트
4th row(주)포인트헬스케어
5th row(주)화진환경산업
ValueCountFrequency (%)
주식회사 3
 
10.7%
주)이마트에브리데이 3
 
10.7%
노그로스 1
 
3.6%
펫리즈 1
 
3.6%
엠엔 1
 
3.6%
에피옴(epiome 1
 
3.6%
자양점 1
 
3.6%
주)이마트 1
 
3.6%
블루스카이컴퍼니 1
 
3.6%
광장점 1
 
3.6%
Other values (14) 14
50.0%
2024-05-18T08:08:17.906289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 10
 
5.8%
이 10
 
5.8%
7
 
4.1%
) 7
 
4.1%
( 7
 
4.1%
트 6
 
3.5%
사 5
 
2.9%
리 4
 
2.3%
마 4
 
2.3%
스 4
 
2.3%
Other values (72) 107
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
84.2%
Space Separator 7
 
4.1%
Close Punctuation 7
 
4.1%
Open Punctuation 7
 
4.1%
Uppercase Letter 6
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 10
 
6.9%
이 10
 
6.9%
트 6
 
4.2%
사 5
 
3.5%
리 4
 
2.8%
마 4
 
2.8%
스 4
 
2.8%
에 4
 
2.8%
점 4
 
2.8%
브 3
 
2.1%
Other values (64) 90
62.5%
Uppercase Letter
ValueCountFrequency (%)
E 2
33.3%
M 1
16.7%
O 1
16.7%
I 1
16.7%
P 1
16.7%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
84.2%
Common 21
 
12.3%
Latin 6
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 10
 
6.9%
이 10
 
6.9%
트 6
 
4.2%
사 5
 
3.5%
리 4
 
2.8%
마 4
 
2.8%
스 4
 
2.8%
에 4
 
2.8%
점 4
 
2.8%
브 3
 
2.1%
Other values (64) 90
62.5%
Latin
ValueCountFrequency (%)
E 2
33.3%
M 1
16.7%
O 1
16.7%
I 1
16.7%
P 1
16.7%
Common
ValueCountFrequency (%)
7
33.3%
) 7
33.3%
( 7
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
84.2%
ASCII 27
 
15.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 10
 
6.9%
이 10
 
6.9%
트 6
 
4.2%
사 5
 
3.5%
리 4
 
2.8%
마 4
 
2.8%
스 4
 
2.8%
에 4
 
2.8%
점 4
 
2.8%
브 3
 
2.1%
Other values (64) 90
62.5%
ASCII
ValueCountFrequency (%)
7
25.9%
) 7
25.9%
( 7
25.9%
E 2
 
7.4%
M 1
 
3.7%
O 1
 
3.7%
I 1
 
3.7%
P 1
 
3.7%

최종수정일자
Date

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2005-02-01 17:08:42
Maximum2024-01-26 09:32:21
2024-05-18T08:08:18.415147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:08:18.816742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
I
13 
U
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 13
61.9%
U 8
38.1%

Length

2024-05-18T08:08:19.252682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:08:19.668454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 13
61.9%
u 8
38.1%

데이터갱신일자
Date

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2018-08-31 23:59:59
Maximum2023-11-30 22:08:00
2024-05-18T08:08:20.133095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:08:20.704873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)85.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean207046.68
Minimum205655.13
Maximum209194.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-18T08:08:21.167657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205655.13
5-th percentile205686.05
Q1206372.64
median206909.74
Q3207649.8
95-th percentile208590.72
Maximum209194.6
Range3539.4605
Interquartile range (IQR)1277.1589

Descriptive statistics

Standard deviation919.60911
Coefficient of variation (CV)0.0044415545
Kurtosis0.21785733
Mean207046.68
Median Absolute Deviation (MAD)560.06162
Skewness0.61101568
Sum4140933.6
Variance845680.92
MonotonicityNot monotonic
2024-05-18T08:08:21.675618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
207649.797734558 2
 
9.5%
206349.675048285 2
 
9.5%
206792.027736463 2
 
9.5%
208135.50744518 1
 
4.8%
205655.134613824 1
 
4.8%
206800.381640745 1
 
4.8%
208558.933963663 1
 
4.8%
209194.595129323 1
 
4.8%
207114.498872176 1
 
4.8%
205687.675941036 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
205655.134613824 1
4.8%
205687.675941036 1
4.8%
206091.938587177 1
4.8%
206349.675048285 2
9.5%
206380.293372969 1
4.8%
206445.881091692 1
4.8%
206792.027736463 2
9.5%
206800.381640745 1
4.8%
207019.091699528 1
4.8%
207114.498872176 1
4.8%
ValueCountFrequency (%)
209194.595129323 1
4.8%
208558.933963663 1
4.8%
208135.50744518 1
4.8%
207702.102791043 1
4.8%
207649.797734558 2
9.5%
207434.987336067 1
4.8%
207129.591315359 1
4.8%
207114.498872176 1
4.8%
207019.091699528 1
4.8%
206800.381640745 1
4.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)85.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean449666.32
Minimum448204.09
Maximum451296.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-18T08:08:22.030809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448204.09
5-th percentile448387.3
Q1448909.02
median449646.01
Q3450398.32
95-th percentile450835.52
Maximum451296.05
Range3091.9577
Interquartile range (IQR)1489.2991

Descriptive statistics

Standard deviation924.70321
Coefficient of variation (CV)0.0020564209
Kurtosis-1.2288369
Mean449666.32
Median Absolute Deviation (MAD)750.84787
Skewness0.0066431531
Sum8993326.5
Variance855076.03
MonotonicityNot monotonic
2024-05-18T08:08:22.398689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
450162.730478726 2
 
9.5%
448396.939704285 2
 
9.5%
450583.054957622 2
 
9.5%
448204.09170096 1
 
4.8%
448957.981318775 1
 
4.8%
450336.742284458 1
 
4.8%
448800.055402101 1
 
4.8%
449413.151252613 1
 
4.8%
451296.049443757 1
 
4.8%
448867.440516076 1
 
4.8%
Other values (7) 7
33.3%
ValueCountFrequency (%)
448204.09170096 1
4.8%
448396.939704285 2
9.5%
448800.055402101 1
4.8%
448867.440516076 1
4.8%
448922.881688102 1
4.8%
448957.981318775 1
4.8%
449147.318588005 1
4.8%
449413.151252613 1
4.8%
449581.249922815 1
4.8%
449710.768030631 1
4.8%
ValueCountFrequency (%)
451296.049443757 1
4.8%
450811.281982601 1
4.8%
450753.975568247 1
4.8%
450583.054957622 2
9.5%
450336.742284458 1
4.8%
450238.049488009 1
4.8%
450162.730478726 2
9.5%
449710.768030631 1
4.8%
449581.249922815 1
4.8%
449413.151252613 1
4.8%

축산업무구분명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
동물용의료용구판매업
13 
<NA>
8 

Length

Max length10
Median length10
Mean length7.7142857
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의료용구판매업 13
61.9%
<NA> 8
38.1%

Length

2024-05-18T08:08:22.891256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:08:23.271682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 13
61.9%
na 8
38.1%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

권리주체일련번호
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
000
10 
<NA>
8 
L00
3 

Length

Max length4
Median length3
Mean length3.3809524
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 10
47.6%
<NA> 8
38.1%
L00 3
 
14.3%

Length

2024-05-18T08:08:23.688172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:08:24.073614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 10
47.6%
na 8
38.1%
l00 3
 
14.3%

총인원
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
17 
0
4 

Length

Max length4
Median length4
Mean length3.4285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 17
81.0%
0 4
 
19.0%

Length

2024-05-18T08:08:24.503503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:08:25.246515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
81.0%
0 4
 
19.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0304000030400000132003000120030527<NA>3폐업2폐업20050201<NA><NA><NA>456-14790.0<NA>서울특별시 광진구 중곡동 ***-** 번지 보광빌라 *-***호<NA><NA>노그로스2005-02-01 17:08:42I2018-08-31 23:59:59.0<NA><NA><NA>동물용의료용구판매업<NA><NA>000<NA>
1304000030400000132006000120060705<NA>3폐업2폐업20100930<NA><NA><NA>447-25820.0<NA>서울특별시 광진구 구의동 ***-**번지 아크로리버 B***<NA><NA>하나메디컴스오토2010-09-30 13:50:06I2018-08-31 23:59:59.0<NA>208135.507445448204.091701동물용의료용구판매업<NA><NA>000<NA>
2304000030400000132010000120101227<NA>3폐업2폐업20110712<NA><NA><NA>02-3436-1114104.2<NA>서울특별시 광진구 능동 ***-**번지 노블레스빌 ***, ***호<NA><NA>메디포인트2011-07-12 14:53:11I2018-08-31 23:59:59.0<NA>207649.797735450162.730479동물용의료용구판매업<NA><NA>000<NA>
3304000030400000132011000120110712<NA>1영업/정상0정상<NA><NA><NA><NA>02-3436-111495.0<NA>서울특별시 광진구 능동 ***-** 노블레스빌 ***,***호서울특별시 광진구 천호대로 *** (능동)4987(주)포인트헬스케어2022-01-11 15:01:28U2022-01-13 02:40:00.0<NA>207649.797735450162.730479동물용의료용구판매업<NA><NA>L000
4304000030400000132012000120120913<NA>3폐업2폐업20131223<NA><NA><NA>452-0980<NA><NA>서울특별시 광진구 중곡동 **-**번지서울특별시 광진구 긴고랑로**길 ** (중곡동)4927(주)화진환경산업2013-12-23 15:34:49I2018-08-31 23:59:59.0<NA>207129.591315450811.281983동물용의료용구판매업<NA><NA>L00<NA>
5304000030400000132013000120130312<NA>1영업/정상0정상<NA><NA><NA><NA>2207-2344<NA><NA>서울특별시 광진구 구의동 ***-**번지 *,*층서울특별시 광진구 광나루로 ***-* (구의동)5031우주상사2013-03-12 09:40:46I2018-08-31 23:59:59.0<NA>207702.102791449147.318588동물용의료용구판매업<NA><NA>000<NA>
6304000030400000132018000120180611<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 군자동 ***-**번지서울특별시 광진구 광나루로**길 **-* (군자동)5005진영상사2018-06-11 15:30:23I2018-08-31 23:59:59.0<NA>206380.293373449710.768031동물용의료용구판매업<NA><NA>000<NA>
7304000030400000132020000120200213<NA>3폐업2폐업20201102<NA><NA><NA>02-497-6744774.0<NA>서울특별시 광진구 중곡동 ***-**서울특별시 광진구 능동로 ***-*, ***호 (중곡동)4918지앤바이오2020-11-02 18:21:45U2020-12-03 02:40:00.0<NA>207019.0917450753.975568동물용의료용구판매업<NA><NA>000<NA>
8304000030400000132020000220200814<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 군자동 ***-* 광진 동양파라곤 *단지서울특별시 광진구 광나루로 ***, 지하*층 ***호 (군자동, 광진 동양파라곤 *단지)5003파라곤동물병원2020-08-14 16:08:28I2020-08-16 00:23:14.0<NA>206091.938587449581.249923동물용의료용구판매업<NA><NA>000<NA>
9304000030400000132021000120210317<NA>1영업/정상0정상<NA><NA><NA><NA>070-8864-1212<NA><NA>서울특별시 광진구 화양동 * 건국대학교 창의관 ***호서울특별시 광진구 능동로 ***, 건국대학교 창의관 ***호 (화양동)5029주식회사 위드펫바이오2021-05-18 20:45:50U2021-06-08 02:40:00.0<NA>206445.881092448922.881688동물용의료용구판매업<NA><NA>L00<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
11304000030400000132021000320210906<NA>1영업/정상0정상<NA><NA><NA><NA>02-469-7300<NA><NA>서울특별시 광진구 화양동 **-* 동신빌딩서울특별시 광진구 아차산로 ***, 동신빌딩 지하 *층 (화양동)5020태산약품2021-09-06 09:57:42I2021-09-08 00:22:50.0<NA>205687.675941448867.440516동물용의료용구판매업<NA><NA>0000
12304000030400000132022000120220111<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 군자동 ***-** 서림빌딩 *층서울특별시 광진구 천호대로 ***, 서림빌딩 *층 (군자동)4996펫리즈2022-01-11 14:59:21I2022-01-13 00:22:41.0<NA>206792.027736450583.054958동물용의료용구판매업<NA><NA>0000
1330400003040000013202200022022-05-18<NA>3폐업2폐업2023-11-28<NA><NA><NA>02-463-19031740.57<NA>서울특별시 광진구 중곡동 ***-* 제일시장서울특별시 광진구 긴고랑로**길 **, 제일시장 (중곡동)4910(주)이마트에브리데이 중곡동점2023-11-29 13:05:17U2022-11-02 00:02:00.0<NA>207114.498872451296.049444<NA><NA><NA><NA><NA>
1430400003040000013202200032022-05-18<NA>3폐업2폐업2023-11-28<NA><NA><NA>02-6953-4039<NA><NA>서울특별시 광진구 광장동 *** 광장동 신동아 파밀리에 상가 지하*층서울특별시 광진구 아차산로 ***, 지하 *층 (광장동, 광장동 신동아 파밀리에)4968(주)이마트에브리데이 광나루역점2023-11-29 13:03:25U2022-11-02 00:02:00.0<NA>209194.595129449413.151253<NA><NA><NA><NA><NA>
1530400003040000013202200042022-05-23<NA>3폐업2폐업2023-11-24<NA><NA><NA>02-2039-2543758.33<NA>서울특별시 광진구 광장동 ***-** *층서울특별시 광진구 아차산로 ***, 은석 *층 (광장동)4974(주)이마트에브리데이 광장점2023-11-27 16:03:46U2022-10-31 22:09:00.0<NA>208558.933964448800.055402<NA><NA><NA><NA><NA>
16304000030400000132022000520220607<NA>1영업/정상0정상<NA><NA><NA><NA>02-6944-8458<NA><NA>서울특별시 광진구 군자동 ***-**서울특별시 광진구 능동로**가길 **(군자동)4997블루스카이컴퍼니2022-06-07 16:01:20I2021-12-06 00:09:00.0<NA>206800.381641450336.742284<NA><NA><NA><NA><NA>
1730400003040000013202200062023-06-14<NA>3폐업2폐업2023-06-14<NA><NA><NA>02-2024-1234<NA><NA>서울특별시 광진구 자양동 ***-* 더샵스타시티서울특별시 광진구 아차산로 ***, 더샵스타시티 (자양동)5065(주)이마트 자양점2023-06-14 09:57:08U2022-12-05 23:06:00.0<NA>206349.675048448396.939704<NA><NA><NA><NA><NA>
1830400003040000013202300012023-08-17<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 ***-* 더샵스타시티서울특별시 광진구 아차산로 ***, B동 ***호 (자양동, 더샵스타시티)5065에피옴(EPIOME)2023-08-17 10:15:29I2022-12-07 23:09:00.0<NA>206349.675048448396.939704<NA><NA><NA><NA><NA>
1930400003040000013202300022023-11-23<NA>1영업/정상0정상<NA><NA><NA><NA>02-2088-5910<NA><NA>서울특별시 광진구 화양동 **-**서울특별시 광진구 동일로 ***, 제일빌딩 *층 ***호 (화양동)5020주식회사 엠엔2023-11-23 16:04:59I2022-10-31 22:05:00.0<NA>205655.134614448957.981319<NA><NA><NA><NA><NA>
2030400003040000013202400012024-01-26<NA>1영업/정상0정상<NA><NA><NA><NA>07080153090<NA><NA>서울특별시 광진구 군자동 ***-** 서림빌딩서울특별시 광진구 천호대로 ***, 서림빌딩 ***호 (군자동)4996주식회사 열일곱2024-01-26 09:32:21I2023-11-30 22:08:00.0<NA>206792.027736450583.054958<NA><NA><NA><NA><NA>