Overview

Dataset statistics

Number of variables30
Number of observations23
Missing cells143
Missing cells (%)20.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory261.7 B

Variable types

Categorical13
Numeric4
DateTime4
Unsupported5
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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-16661/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지면적 has constant value ""Constant
업태구분명 is highly imbalanced (74.2%)Imbalance
축산일련번호 is highly imbalanced (57.4%)Imbalance
총인원 is highly imbalanced (57.4%)Imbalance
인허가취소일자 has 23 (100.0%) missing valuesMissing
폐업일자 has 6 (26.1%) missing valuesMissing
휴업시작일자 has 23 (100.0%) missing valuesMissing
휴업종료일자 has 23 (100.0%) missing valuesMissing
재개업일자 has 23 (100.0%) missing valuesMissing
전화번호 has 20 (87.0%) missing valuesMissing
소재지우편번호 has 23 (100.0%) missing valuesMissing
지번주소 has 1 (4.3%) missing valuesMissing
도로명우편번호 has 1 (4.3%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
도로명주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
좌표정보(X) has unique valuesUnique
좌표정보(Y) 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

Reproduction

Analysis started2024-05-11 05:39:25.250941
Analysis finished2024-05-11 05:39:25.832980
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
3200000
23 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 23
100.0%

Length

2024-05-11T14:39:26.260385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:26.440744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 23
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2 × 1017
Minimum3.2 × 1017
Maximum3.2 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T14:39:26.574624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2 × 1017
5-th percentile3.2 × 1017
Q13.2 × 1017
median3.2 × 1017
Q33.2 × 1017
95-th percentile3.2 × 1017
Maximum3.2 × 1017
Range140000
Interquartile range (IQR)50048

Descriptive statistics

Standard deviation36896.688
Coefficient of variation (CV)1.1530215 × 10-13
Kurtosis0.55876961
Mean3.2 × 1017
Median Absolute Deviation (MAD)20032
Skewness-0.87139025
Sum7.3600001 × 1018
Variance1.3613656 × 109
MonotonicityStrictly increasing
2024-05-11T14:39:26.777975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
320000003420090001 1
 
4.3%
320000003420110001 1
 
4.3%
320000003420230001 1
 
4.3%
320000003420220006 1
 
4.3%
320000003420220005 1
 
4.3%
320000003420220004 1
 
4.3%
320000003420220003 1
 
4.3%
320000003420220002 1
 
4.3%
320000003420220001 1
 
4.3%
320000003420200001 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
320000003420090001 1
4.3%
320000003420110001 1
4.3%
320000003420130001 1
4.3%
320000003420150001 1
4.3%
320000003420160001 1
4.3%
320000003420170001 1
4.3%
320000003420170002 1
4.3%
320000003420170003 1
4.3%
320000003420170004 1
4.3%
320000003420180001 1
4.3%
ValueCountFrequency (%)
320000003420230001 1
4.3%
320000003420220006 1
4.3%
320000003420220005 1
4.3%
320000003420220004 1
4.3%
320000003420220003 1
4.3%
320000003420220002 1
4.3%
320000003420220001 1
4.3%
320000003420200001 1
4.3%
320000003420190003 1
4.3%
320000003420190002 1
4.3%

인허가일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2009-06-10 00:00:00
Maximum2023-06-12 00:00:00
2024-05-11T14:39:26.974337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:27.165067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
3
17 
1
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 17
73.9%
1 6
 
26.1%

Length

2024-05-11T14:39:27.349749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:27.526714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 17
73.9%
1 6
 
26.1%

영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
폐업
17 
영업/정상
6 

Length

Max length5
Median length2
Mean length2.7826087
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 17
73.9%
영업/정상 6
 
26.1%

Length

2024-05-11T14:39:27.701987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:27.883284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 17
73.9%
영업/정상 6
 
26.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2
17 
0
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 17
73.9%
0 6
 
26.1%

Length

2024-05-11T14:39:28.053598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:28.209391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 17
73.9%
0 6
 
26.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
폐업
17 
정상
6 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 17
73.9%
정상 6
 
26.1%

Length

2024-05-11T14:39:28.346378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:28.496943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 17
73.9%
정상 6
 
26.1%

폐업일자
Date

MISSING 

Distinct17
Distinct (%)100.0%
Missing6
Missing (%)26.1%
Memory size316.0 B
Minimum2013-01-03 00:00:00
Maximum2024-02-01 00:00:00
2024-05-11T14:39:28.663251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:28.890343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

전화번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing20
Missing (%)87.0%
Memory size316.0 B
2024-05-11T14:39:29.119915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length12
Min length9

Characters and Unicode

Total characters36
Distinct characters10
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

Unique3 ?
Unique (%)100.0%

Sample

1st row028997165
2nd row0507-1401-4572
3rd row070-7799-2602
ValueCountFrequency (%)
028997165 1
33.3%
0507-1401-4572 1
33.3%
070-7799-2602 1
33.3%
2024-05-11T14:39:29.512067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7
19.4%
7 6
16.7%
2 4
11.1%
9 4
11.1%
- 4
11.1%
1 3
8.3%
5 3
8.3%
6 2
 
5.6%
4 2
 
5.6%
8 1
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32
88.9%
Dash Punctuation 4
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7
21.9%
7 6
18.8%
2 4
12.5%
9 4
12.5%
1 3
9.4%
5 3
9.4%
6 2
 
6.2%
4 2
 
6.2%
8 1
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7
19.4%
7 6
16.7%
2 4
11.1%
9 4
11.1%
- 4
11.1%
1 3
8.3%
5 3
8.3%
6 2
 
5.6%
4 2
 
5.6%
8 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7
19.4%
7 6
16.7%
2 4
11.1%
9 4
11.1%
- 4
11.1%
1 3
8.3%
5 3
8.3%
6 2
 
5.6%
4 2
 
5.6%
8 1
 
2.8%

소재지면적
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
0
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 23
100.0%

Length

2024-05-11T14:39:29.716441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:29.843596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
100.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

지번주소
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing1
Missing (%)4.3%
Memory size316.0 B
2024-05-11T14:39:30.056315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length23.545455
Min length20

Characters and Unicode

Total characters518
Distinct characters43
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row서울특별시 관악구 신림동 393-16번지
2nd row서울특별시 관악구 신림동 103-215번지 304호
3rd row서울특별시 관악구 봉천동 1664-16번지
4th row서울특별시 관악구 신림동 675-147번지
5th row서울특별시 관악구 신림동 1460-1번지
ValueCountFrequency (%)
서울특별시 22
22.7%
관악구 22
22.7%
신림동 13
13.4%
봉천동 9
 
9.3%
지하 2
 
2.1%
888-25 1
 
1.0%
1674-15 1
 
1.0%
드림빌라 1
 
1.0%
1729 1
 
1.0%
서희스타힐즈 1
 
1.0%
Other values (24) 24
24.7%
2024-05-11T14:39:30.647477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
 
17.2%
1 27
 
5.2%
서 23
 
4.4%
악 22
 
4.2%
울 22
 
4.2%
구 22
 
4.2%
동 22
 
4.2%
관 22
 
4.2%
시 22
 
4.2%
별 22
 
4.2%
Other values (33) 225
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 289
55.8%
Decimal Number 119
23.0%
Space Separator 89
 
17.2%
Dash Punctuation 21
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 23
 
8.0%
악 22
 
7.6%
울 22
 
7.6%
구 22
 
7.6%
동 22
 
7.6%
관 22
 
7.6%
시 22
 
7.6%
별 22
 
7.6%
특 22
 
7.6%
림 14
 
4.8%
Other values (21) 76
26.3%
Decimal Number
ValueCountFrequency (%)
1 27
22.7%
6 17
14.3%
4 17
14.3%
3 12
10.1%
9 10
 
8.4%
8 8
 
6.7%
5 8
 
6.7%
2 8
 
6.7%
7 6
 
5.0%
0 6
 
5.0%
Space Separator
ValueCountFrequency (%)
89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 289
55.8%
Common 229
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 23
 
8.0%
악 22
 
7.6%
울 22
 
7.6%
구 22
 
7.6%
동 22
 
7.6%
관 22
 
7.6%
시 22
 
7.6%
별 22
 
7.6%
특 22
 
7.6%
림 14
 
4.8%
Other values (21) 76
26.3%
Common
ValueCountFrequency (%)
89
38.9%
1 27
 
11.8%
- 21
 
9.2%
6 17
 
7.4%
4 17
 
7.4%
3 12
 
5.2%
9 10
 
4.4%
8 8
 
3.5%
5 8
 
3.5%
2 8
 
3.5%
Other values (2) 12
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 289
55.8%
ASCII 229
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
38.9%
1 27
 
11.8%
- 21
 
9.2%
6 17
 
7.4%
4 17
 
7.4%
3 12
 
5.2%
9 10
 
4.4%
8 8
 
3.5%
5 8
 
3.5%
2 8
 
3.5%
Other values (2) 12
 
5.2%
Hangul
ValueCountFrequency (%)
서 23
 
8.0%
악 22
 
7.6%
울 22
 
7.6%
구 22
 
7.6%
동 22
 
7.6%
관 22
 
7.6%
시 22
 
7.6%
별 22
 
7.6%
특 22
 
7.6%
림 14
 
4.8%
Other values (21) 76
26.3%

도로명주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T14:39:31.040332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length32
Mean length29.304348
Min length22

Characters and Unicode

Total characters674
Distinct characters72
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row서울특별시 관악구 양산길 46 (신림동)
2nd row서울특별시 관악구 서림11가길 9, 304호 (신림동)
3rd row서울특별시 관악구 쑥고개로 37, 101호 (봉천동)
4th row서울특별시 관악구 남부순환로 1870 (봉천동)
5th row서울특별시 관악구 난향10길 2, 1층 (신림동)
ValueCountFrequency (%)
서울특별시 23
16.1%
관악구 23
16.1%
신림동 13
 
9.1%
1층 10
 
7.0%
봉천동 10
 
7.0%
101호 3
 
2.1%
9 3
 
2.1%
64 2
 
1.4%
양녕로 2
 
1.4%
지하 2
 
1.4%
Other values (51) 52
36.4%
2024-05-11T14:39:31.646853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
17.8%
1 35
 
5.2%
동 26
 
3.9%
서 25
 
3.7%
관 25
 
3.7%
구 23
 
3.4%
( 23
 
3.4%
울 23
 
3.4%
) 23
 
3.4%
악 23
 
3.4%
Other values (62) 328
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 388
57.6%
Space Separator 120
 
17.8%
Decimal Number 97
 
14.4%
Open Punctuation 23
 
3.4%
Close Punctuation 23
 
3.4%
Other Punctuation 22
 
3.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 26
 
6.7%
서 25
 
6.4%
관 25
 
6.4%
구 23
 
5.9%
울 23
 
5.9%
악 23
 
5.9%
시 23
 
5.9%
별 23
 
5.9%
특 23
 
5.9%
림 19
 
4.9%
Other values (47) 155
39.9%
Decimal Number
ValueCountFrequency (%)
1 35
36.1%
2 15
15.5%
0 12
 
12.4%
3 7
 
7.2%
4 7
 
7.2%
9 5
 
5.2%
5 5
 
5.2%
8 4
 
4.1%
7 4
 
4.1%
6 3
 
3.1%
Space Separator
ValueCountFrequency (%)
120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 388
57.6%
Common 286
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 26
 
6.7%
서 25
 
6.4%
관 25
 
6.4%
구 23
 
5.9%
울 23
 
5.9%
악 23
 
5.9%
시 23
 
5.9%
별 23
 
5.9%
특 23
 
5.9%
림 19
 
4.9%
Other values (47) 155
39.9%
Common
ValueCountFrequency (%)
120
42.0%
1 35
 
12.2%
( 23
 
8.0%
) 23
 
8.0%
, 22
 
7.7%
2 15
 
5.2%
0 12
 
4.2%
3 7
 
2.4%
4 7
 
2.4%
9 5
 
1.7%
Other values (5) 17
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 388
57.6%
ASCII 286
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
42.0%
1 35
 
12.2%
( 23
 
8.0%
) 23
 
8.0%
, 22
 
7.7%
2 15
 
5.2%
0 12
 
4.2%
3 7
 
2.4%
4 7
 
2.4%
9 5
 
1.7%
Other values (5) 17
 
5.9%
Hangul
ValueCountFrequency (%)
동 26
 
6.7%
서 25
 
6.4%
관 25
 
6.4%
구 23
 
5.9%
울 23
 
5.9%
악 23
 
5.9%
시 23
 
5.9%
별 23
 
5.9%
특 23
 
5.9%
림 19
 
4.9%
Other values (47) 155
39.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)77.3%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean8766.3636
Minimum8702
Maximum8859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T14:39:31.852874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8702
5-th percentile8707.2
Q18733
median8759
Q38784.75
95-th percentile8846
Maximum8859
Range157
Interquartile range (IQR)51.75

Descriptive statistics

Standard deviation46.443561
Coefficient of variation (CV)0.0052979277
Kurtosis-0.36807533
Mean8766.3636
Median Absolute Deviation (MAD)27
Skewness0.65718433
Sum192860
Variance2157.0043
MonotonicityNot monotonic
2024-05-11T14:39:32.120095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
8759 4
17.4%
8846 2
 
8.7%
8747 2
 
8.7%
8768 1
 
4.3%
8836 1
 
4.3%
8729 1
 
4.3%
8731 1
 
4.3%
8739 1
 
4.3%
8702 1
 
4.3%
8711 1
 
4.3%
Other values (7) 7
30.4%
ValueCountFrequency (%)
8702 1
 
4.3%
8707 1
 
4.3%
8711 1
 
4.3%
8715 1
 
4.3%
8729 1
 
4.3%
8731 1
 
4.3%
8739 1
 
4.3%
8747 2
8.7%
8759 4
17.4%
8768 1
 
4.3%
ValueCountFrequency (%)
8859 1
 
4.3%
8846 2
8.7%
8836 1
 
4.3%
8789 1
 
4.3%
8785 1
 
4.3%
8784 1
 
4.3%
8783 1
 
4.3%
8768 1
 
4.3%
8759 4
17.4%
8747 2
8.7%

사업장명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T14:39:32.467119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length5.7826087
Min length3

Characters and Unicode

Total characters133
Distinct characters95
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

Unique23 ?
Unique (%)100.0%

Sample

1st row해피팡팡
2nd row비쥬펫
3rd row라이크마망
4th row멍이와 냥이의 부엌
5th row바잇미
ValueCountFrequency (%)
해피팡팡 1
 
3.2%
코코멍냥 1
 
3.2%
앤디어 1
 
3.2%
봄 1
 
3.2%
오늘도 1
 
3.2%
개라상 1
 
3.2%
공들인하루 1
 
3.2%
조레오래오 1
 
3.2%
댕모아 1
 
3.2%
곳간 1
 
3.2%
Other values (21) 21
67.7%
2024-05-11T14:39:33.055820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 8
 
6.0%
8
 
6.0%
펫 3
 
2.3%
오 3
 
2.3%
멍 3
 
2.3%
도 3
 
2.3%
하 2
 
1.5%
미 2
 
1.5%
공 2
 
1.5%
개 2
 
1.5%
Other values (85) 97
72.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105
78.9%
Lowercase Letter 9
 
6.8%
Space Separator 8
 
6.0%
Uppercase Letter 8
 
6.0%
Open Punctuation 1
 
0.8%
Close Punctuation 1
 
0.8%
Other Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 8
 
7.6%
펫 3
 
2.9%
오 3
 
2.9%
멍 3
 
2.9%
도 3
 
2.9%
하 2
 
1.9%
미 2
 
1.9%
공 2
 
1.9%
개 2
 
1.9%
네 2
 
1.9%
Other values (65) 75
71.4%
Lowercase Letter
ValueCountFrequency (%)
r 2
22.2%
s 1
11.1%
k 1
11.1%
o 1
11.1%
w 1
11.1%
a 1
11.1%
e 1
11.1%
t 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
W 1
12.5%
F 1
12.5%
A 1
12.5%
Y 1
12.5%
R 1
12.5%
O 1
12.5%
T 1
12.5%
C 1
12.5%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105
78.9%
Latin 17
 
12.8%
Common 11
 
8.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 8
 
7.6%
펫 3
 
2.9%
오 3
 
2.9%
멍 3
 
2.9%
도 3
 
2.9%
하 2
 
1.9%
미 2
 
1.9%
공 2
 
1.9%
개 2
 
1.9%
네 2
 
1.9%
Other values (65) 75
71.4%
Latin
ValueCountFrequency (%)
r 2
 
11.8%
s 1
 
5.9%
k 1
 
5.9%
o 1
 
5.9%
w 1
 
5.9%
W 1
 
5.9%
a 1
 
5.9%
e 1
 
5.9%
t 1
 
5.9%
F 1
 
5.9%
Other values (6) 6
35.3%
Common
ValueCountFrequency (%)
8
72.7%
( 1
 
9.1%
) 1
 
9.1%
? 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105
78.9%
ASCII 28
 
21.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 8
 
7.6%
펫 3
 
2.9%
오 3
 
2.9%
멍 3
 
2.9%
도 3
 
2.9%
하 2
 
1.9%
미 2
 
1.9%
공 2
 
1.9%
개 2
 
1.9%
네 2
 
1.9%
Other values (65) 75
71.4%
ASCII
ValueCountFrequency (%)
8
28.6%
r 2
 
7.1%
s 1
 
3.6%
k 1
 
3.6%
o 1
 
3.6%
w 1
 
3.6%
W 1
 
3.6%
a 1
 
3.6%
( 1
 
3.6%
e 1
 
3.6%
Other values (10) 10
35.7%

최종수정일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2013-11-05 14:19:03
Maximum2024-02-01 11:25:29
2024-05-11T14:39:33.360331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:33.572230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
I
14 
U
9 

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 14
60.9%
U 9
39.1%

Length

2024-05-11T14:39:33.785655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:33.922409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 14
60.9%
u 9
39.1%

데이터갱신일자
Date

Distinct14
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 00:03:00
2024-05-11T14:39:34.044397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:39:34.245242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
단미
22 
배합
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
단미 22
95.7%
배합 1
 
4.3%

Length

2024-05-11T14:39:34.463262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:34.618985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 22
95.7%
배합 1
 
4.3%

좌표정보(X)
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194244.21
Minimum191218.6
Maximum196347.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T14:39:34.793175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191218.6
5-th percentile192397.23
Q1193412.88
median194406.56
Q3195220.22
95-th percentile196280.43
Maximum196347.1
Range5128.4956
Interquartile range (IQR)1807.3401

Descriptive statistics

Standard deviation1303.8583
Coefficient of variation (CV)0.0067124692
Kurtosis-0.072091148
Mean194244.21
Median Absolute Deviation (MAD)971.93381
Skewness-0.28740014
Sum4467616.7
Variance1700046.4
MonotonicityNot monotonic
2024-05-11T14:39:35.006693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
193971.376406771 1
 
4.3%
194688.525266613 1
 
4.3%
191218.603640354 1
 
4.3%
194406.560871127 1
 
4.3%
195378.494684833 1
 
4.3%
193345.76981132 1
 
4.3%
193428.293937348 1
 
4.3%
195236.115753582 1
 
4.3%
196347.099270374 1
 
4.3%
196294.973941273 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
191218.603640354 1
4.3%
192387.692623942 1
4.3%
192483.022142411 1
4.3%
193345.76981132 1
4.3%
193387.394028258 1
4.3%
193397.47360118 1
4.3%
193428.293937348 1
4.3%
193451.998687126 1
4.3%
193692.588704119 1
4.3%
193796.378572558 1
4.3%
ValueCountFrequency (%)
196347.099270374 1
4.3%
196294.973941273 1
4.3%
196149.559892169 1
4.3%
195381.489816224 1
4.3%
195378.494684833 1
4.3%
195236.115753582 1
4.3%
195204.331969991 1
4.3%
194849.836875171 1
4.3%
194690.106498981 1
4.3%
194688.525266613 1
4.3%

좌표정보(Y)
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean442138.04
Minimum440075.31
Maximum443060.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T14:39:35.262330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440075.31
5-th percentile441014.84
Q1441781
median442529.23
Q3442734.43
95-th percentile442970.78
Maximum443060.17
Range2984.8594
Interquartile range (IQR)953.42903

Descriptive statistics

Standard deviation786.98439
Coefficient of variation (CV)0.0017799518
Kurtosis0.47520061
Mean442138.04
Median Absolute Deviation (MAD)445.11477
Skewness-0.99708139
Sum10169175
Variance619344.44
MonotonicityNot monotonic
2024-05-11T14:39:35.448536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
441098.97574421 1
 
4.3%
441028.192954988 1
 
4.3%
441987.184567998 1
 
4.3%
441418.221353786 1
 
4.3%
442745.962020207 1
 
4.3%
442537.259064514 1
 
4.3%
442540.195832399 1
 
4.3%
442529.232623613 1
 
4.3%
442938.722385983 1
 
4.3%
441933.688047381 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
440075.31018567 1
4.3%
441013.361791815 1
4.3%
441028.192954988 1
4.3%
441098.97574421 1
4.3%
441418.221353786 1
4.3%
441689.319136198 1
4.3%
441872.686497502 1
4.3%
441897.066493311 1
4.3%
441933.688047381 1
4.3%
441987.184567998 1
4.3%
ValueCountFrequency (%)
443060.169583941 1
4.3%
442974.347391291 1
4.3%
442938.722385983 1
4.3%
442832.196211723 1
4.3%
442787.084757058 1
4.3%
442745.962020207 1
4.3%
442722.901670854 1
4.3%
442700.172481527 1
4.3%
442672.729865425 1
4.3%
442540.195832399 1
4.3%

축산업무구분명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
사료제조업
17 
<NA>
6 

Length

Max length5
Median length5
Mean length4.7391304
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사료제조업 17
73.9%
<NA> 6
 
26.1%

Length

2024-05-11T14:39:35.680053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:35.845448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 17
73.9%
na 6
 
26.1%

축산물가공업구분명
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
단미
16 
<NA>
6 
배합
 
1

Length

Max length4
Median length2
Mean length2.5217391
Min length2

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
단미 16
69.6%
<NA> 6
 
26.1%
배합 1
 
4.3%

Length

2024-05-11T14:39:36.038683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:36.218820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 16
69.6%
na 6
 
26.1%
배합 1
 
4.3%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
0
 
2

Length

Max length4
Median length4
Mean length3.7391304
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> 21
91.3%
0 2
 
8.7%

Length

2024-05-11T14:39:36.397046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:36.537788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
0 2
 
8.7%

권리주체일련번호
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
0
17 
<NA>
6 

Length

Max length4
Median length1
Mean length1.7826087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 17
73.9%
<NA> 6
 
26.1%

Length

2024-05-11T14:39:36.703905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:36.885618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
73.9%
na 6
 
26.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
0
 
2

Length

Max length4
Median length4
Mean length3.7391304
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> 21
91.3%
0 2
 
8.7%

Length

2024-05-11T14:39:37.037649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:39:37.183760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
0 2
 
8.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0320000032000000342009000120090610<NA>3폐업2폐업20140424<NA><NA><NA><NA>0<NA>서울특별시 관악구 신림동 393-16번지서울특별시 관악구 양산길 46 (신림동)8846해피팡팡2014-05-15 13:10:33I2018-08-31 23:59:59.0단미193971.376407441098.975744사료제조업단미<NA>0<NA>
1320000032000000342011000120111201<NA>3폐업2폐업20130103<NA><NA><NA><NA>0<NA>서울특별시 관악구 신림동 103-215번지 304호서울특별시 관악구 서림11가길 9, 304호 (신림동)<NA>비쥬펫2017-11-07 10:13:42I2018-08-31 23:59:59.0단미194688.525267441028.192955사료제조업단미<NA>0<NA>
2320000032000000342013000120130708<NA>3폐업2폐업20131105<NA><NA><NA><NA>0<NA><NA>서울특별시 관악구 쑥고개로 37, 101호 (봉천동)8784라이크마망2013-11-05 14:19:03I2018-08-31 23:59:59.0단미194690.106499441872.686498사료제조업단미<NA>0<NA>
3320000032000000342015000120150123<NA>3폐업2폐업20180510<NA><NA><NA><NA>0<NA>서울특별시 관악구 봉천동 1664-16번지서울특별시 관악구 남부순환로 1870 (봉천동)8789멍이와 냥이의 부엌2018-05-10 17:25:39I2018-08-31 23:59:59.0단미196149.559892441897.066493사료제조업단미<NA>0<NA>
4320000032000000342016000120160818<NA>3폐업2폐업20161206<NA><NA><NA><NA>0<NA>서울특별시 관악구 신림동 675-147번지서울특별시 관악구 난향10길 2, 1층 (신림동)8859바잇미2016-12-06 17:02:53I2018-08-31 23:59:59.0단미192483.022142440075.310186사료제조업단미<NA>0<NA>
5320000032000000342017000120170220<NA>3폐업2폐업20180601<NA><NA><NA><NA>0<NA>서울특별시 관악구 신림동 1460-1번지서울특별시 관악구 신림동5가길 23, 1층 101호 (신림동, 에이스빌)8759도도블리2018-06-05 18:06:06I2018-08-31 23:59:59.0단미193397.473601442700.172482사료제조업단미<NA>0<NA>
6320000032000000342017000220170403<NA>3폐업2폐업20180319<NA><NA><NA>0289971650<NA>서울특별시 관악구 봉천동 501-1번지서울특별시 관악구 양녕로 59 (봉천동)8715제이원피앤지2018-03-19 14:14:59I2018-08-31 23:59:59.0단미195204.33197442787.084757사료제조업단미<NA>0<NA>
7320000032000000342017000320170926<NA>3폐업2폐업20171212<NA><NA><NA><NA>0<NA>서울특별시 관악구 봉천동 928-10번지서울특별시 관악구 청룡4길 64, 2층 202호 (봉천동)8785멍이한입2017-12-12 17:00:54I2018-08-31 23:59:59.0단미194849.836875442119.942479사료제조업단미<NA>0<NA>
8320000032000000342017000420171109<NA>3폐업2폐업20180822<NA><NA><NA><NA>0<NA>서울특별시 관악구 신림동 381-2번지서울특별시 관악구 양지7길 4 (신림동)8846서울개공원 FACTORY2018-08-22 14:32:22I2018-08-31 23:59:59.0단미193796.378573441013.361792사료제조업단미<NA>0<NA>
9320000032000000342018000120180126<NA>3폐업2폐업20180529<NA><NA><NA>0507-1401-45720<NA>서울특별시 관악구 신림동 1442-1번지 지하서울특별시 관악구 봉천로8길 12, 지하 (신림동)8707몽탄이네 엠엔티 하우스2018-05-29 16:43:29I2018-08-31 23:59:59.0단미193451.998687442974.347391사료제조업단미<NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
13320000032000000342019000220190827<NA>3폐업2폐업20210513<NA><NA><NA>070-7799-26020<NA>서울특별시 관악구 봉천동 466-85서울특별시 관악구 은천로24길 9, 1층 (봉천동)8747미쁨펫 컴퍼니2021-05-13 14:04:50U2021-05-15 02:40:00.0단미195381.489816442672.729865사료제조업단미<NA>0<NA>
14320000032000000342019000320191010<NA>3폐업2폐업20200228<NA><NA><NA><NA>0<NA>서울특별시 관악구 신림동 499-38번지서울특별시 관악구 신사로 112, 지하층 (신림동)8702물꽃놀이(Waterworks)2020-02-28 19:49:51U2020-03-01 02:40:00.0배합192387.692624442832.196212사료제조업배합<NA>0<NA>
15320000032000000342020000120200423<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 관악구 봉천동 1674-15 드림빌라서울특별시 관악구 행운길 9, 드림빌라 1층 (봉천동)8739쁜이네 곳간2021-03-15 14:09:27U2021-03-17 02:40:00.0단미196294.973941441933.688047사료제조업단미<NA>0<NA>
16320000032000000342022000120220208<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 관악구 봉천동 1729 서희스타힐즈서울특별시 관악구 청림3길 10, 101동 112호 (봉천동, 서희스타힐즈)8731댕모아2022-02-08 13:32:40I2022-02-10 00:22:48.0단미196347.09927442938.722386사료제조업단미000
1732000003200000034202200022022-03-02<NA>3폐업2폐업2024-01-23<NA><NA><NA><NA>0<NA>서울특별시 관악구 봉천동 888-25서울특별시 관악구 양녕로 32-1, 1층 (봉천동)8747조레오래오?2024-01-23 14:32:45U2023-11-30 22:05:00.0단미195236.115754442529.232624<NA><NA><NA><NA><NA>
18320000032000000342022000320220315<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 관악구 신림동 1433-131 현대서울특별시 관악구 관천로10길 20, 1층 (신림동)8759공들인하루2022-03-15 14:33:41I2022-03-17 00:22:35.0단미193428.293937442540.195832사료제조업단미000
19320000032000000342022000420220510<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 관악구 신림동 1463-65 스팅서울특별시 관악구 관천로 64, 스팅 1층 (신림동)8759개라상2022-05-30 11:40:44U2021-12-06 00:01:00.0단미193345.769811442537.259065<NA><NA><NA><NA><NA>
2032000003200000034202200052022-08-08<NA>3폐업2폐업2024-02-01<NA><NA><NA><NA>0<NA>서울특별시 관악구 봉천동 464-13서울특별시 관악구 은천로 119, 1층 (봉천동)8729오늘도 봄2024-02-01 11:25:29U2023-12-02 00:03:00.0단미195378.494685442745.96202<NA><NA><NA><NA><NA>
21320000032000000342022000620221121<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 관악구 신림동 96-47 루이빌리지서울특별시 관악구 신림로32길 13, 1층 101호 (신림동, 루이빌리지)8836앤디어2022-11-21 10:07:41I2021-10-31 22:03:00.0단미194406.560871441418.221354<NA><NA><NA><NA><NA>
2232000003200000034202300012023-06-12<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 관악구 신림동 1667-12서울특별시 관악구 조원중앙로1길 55, 1층 (신림동)8768두즈파크2023-06-12 10:11:17I2022-12-05 23:04:00.0단미191218.60364441987.184568<NA><NA><NA><NA><NA>