Overview

Dataset statistics

Number of variables30
Number of observations26
Missing cells158
Missing cells (%)20.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory260.1 B

Variable types

Categorical13
Numeric4
DateTime5
Unsupported4
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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-16648/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
재개업일자 has constant value ""Constant
소재지면적 has constant value ""Constant
업태구분명 is highly imbalanced (60.9%)Imbalance
축산일련번호 is highly imbalanced (76.5%)Imbalance
총인원 is highly imbalanced (76.5%)Imbalance
인허가취소일자 has 26 (100.0%) missing valuesMissing
폐업일자 has 10 (38.5%) missing valuesMissing
휴업시작일자 has 26 (100.0%) missing valuesMissing
휴업종료일자 has 26 (100.0%) missing valuesMissing
재개업일자 has 25 (96.2%) missing valuesMissing
전화번호 has 17 (65.4%) missing valuesMissing
소재지우편번호 has 26 (100.0%) missing valuesMissing
좌표정보(X) has 1 (3.8%) missing valuesMissing
좌표정보(Y) has 1 (3.8%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:05:57.441579
Analysis finished2024-04-29 19:05:58.069553
Duration0.63 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
3070000
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 26
100.0%

Length

2024-04-30T04:05:58.134373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:05:58.224854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 26
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.07 × 1017
Minimum3.07 × 1017
Maximum3.07 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-30T04:05:58.306218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.07 × 1017
5-th percentile3.07 × 1017
Q13.07 × 1017
median3.07 × 1017
Q33.07 × 1017
95-th percentile3.07 × 1017
Maximum3.07 × 1017
Range100003
Interquartile range (IQR)37504

Descriptive statistics

Standard deviation30718.067
Coefficient of variation (CV)1.0005885 × 10-13
Kurtosis-0.37500995
Mean3.07 × 1017
Median Absolute Deviation (MAD)20000
Skewness-0.59247393
Sum7.9820001 × 1018
Variance9.4359962 × 108
MonotonicityStrictly increasing
2024-04-30T04:05:58.421311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
307000003420130001 1
 
3.8%
307000003420200001 1
 
3.8%
307000003420230004 1
 
3.8%
307000003420230003 1
 
3.8%
307000003420230002 1
 
3.8%
307000003420230001 1
 
3.8%
307000003420220003 1
 
3.8%
307000003420220002 1
 
3.8%
307000003420220001 1
 
3.8%
307000003420210002 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
307000003420130001 1
3.8%
307000003420130002 1
3.8%
307000003420140001 1
3.8%
307000003420140002 1
3.8%
307000003420170001 1
3.8%
307000003420170002 1
3.8%
307000003420180001 1
3.8%
307000003420180002 1
3.8%
307000003420180003 1
3.8%
307000003420180004 1
3.8%
ValueCountFrequency (%)
307000003420230004 1
3.8%
307000003420230003 1
3.8%
307000003420230002 1
3.8%
307000003420230001 1
3.8%
307000003420220003 1
3.8%
307000003420220002 1
3.8%
307000003420220001 1
3.8%
307000003420210002 1
3.8%
307000003420210001 1
3.8%
307000003420200003 1
3.8%

인허가일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2013-09-13 00:00:00
Maximum2023-10-16 00:00:00
2024-04-30T04:05:58.510671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:05:58.601627image/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
3
16 
1
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 16
61.5%
1 10
38.5%

Length

2024-04-30T04:05:58.708704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:05:58.794841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 16
61.5%
1 10
38.5%

영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
폐업
16 
영업/정상
10 

Length

Max length5
Median length2
Mean length3.1538462
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 16
61.5%
영업/정상 10
38.5%

Length

2024-04-30T04:05:58.886504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:05:58.972435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 16
61.5%
영업/정상 10
38.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
2
16 
0
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 16
61.5%
0 10
38.5%

Length

2024-04-30T04:05:59.050248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:05:59.123402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 16
61.5%
0 10
38.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
폐업
16 
정상
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 16
61.5%
정상 10
38.5%

Length

2024-04-30T04:05:59.199749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:05:59.280714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 16
61.5%
정상 10
38.5%

폐업일자
Date

MISSING 

Distinct16
Distinct (%)100.0%
Missing10
Missing (%)38.5%
Memory size340.0 B
Minimum2014-08-25 00:00:00
Maximum2024-04-17 00:00:00
2024-04-30T04:05:59.360503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:05:59.470338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

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
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing25
Missing (%)96.2%
Memory size340.0 B
Minimum2023-06-19 00:00:00
Maximum2023-06-19 00:00:00
2024-04-30T04:05:59.548036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:05:59.624541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

전화번호
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing17
Missing (%)65.4%
Memory size340.0 B
2024-04-30T04:05:59.755165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.222222
Min length8

Characters and Unicode

Total characters101
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

Unique9 ?
Unique (%)100.0%

Sample

1st row923-1909
2nd row02-358-9002
3rd row070-7767-0543
4th row070-4235-9396
5th row02-6407-5959
ValueCountFrequency (%)
923-1909 1
11.1%
02-358-9002 1
11.1%
070-7767-0543 1
11.1%
070-4235-9396 1
11.1%
02-6407-5959 1
11.1%
02-923-1909 1
11.1%
07042167733 1
11.1%
02-942-2343 1
11.1%
07080654191 1
11.1%
2024-04-30T04:06:00.010550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19
18.8%
9 13
12.9%
- 13
12.9%
2 11
10.9%
3 10
9.9%
7 10
9.9%
4 7
 
6.9%
5 6
 
5.9%
1 5
 
5.0%
6 5
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 88
87.1%
Dash Punctuation 13
 
12.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19
21.6%
9 13
14.8%
2 11
12.5%
3 10
11.4%
7 10
11.4%
4 7
 
8.0%
5 6
 
6.8%
1 5
 
5.7%
6 5
 
5.7%
8 2
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 101
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19
18.8%
9 13
12.9%
- 13
12.9%
2 11
10.9%
3 10
9.9%
7 10
9.9%
4 7
 
6.9%
5 6
 
5.9%
1 5
 
5.0%
6 5
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 101
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19
18.8%
9 13
12.9%
- 13
12.9%
2 11
10.9%
3 10
9.9%
7 10
9.9%
4 7
 
6.9%
5 6
 
5.9%
1 5
 
5.0%
6 5
 
5.0%

소재지면적
Categorical

CONSTANT 

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

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 26
100.0%

Length

2024-04-30T04:06:00.120717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:00.199002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
100.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지번주소
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-30T04:06:00.349455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length29
Mean length23.192308
Min length18

Characters and Unicode

Total characters603
Distinct characters64
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

Unique24 ?
Unique (%)92.3%

Sample

1st row서울특별시 성북구 보문동3가 209번지
2nd row서울특별시 성북구 정릉동 16-162번지
3rd row서울특별시 성북구 보문동6가 297번지 2층
4th row서울특별시 성북구 정릉동 260-26번지
5th row서울특별시 성북구 장위동 214-31번지
ValueCountFrequency (%)
서울특별시 26
22.2%
성북구 26
22.2%
정릉동 10
 
8.5%
장위동 6
 
5.1%
동선동5가 2
 
1.7%
36 2
 
1.7%
1층 2
 
1.7%
보문동6가 2
 
1.7%
297번지 2
 
1.7%
2층 2
 
1.7%
Other values (37) 37
31.6%
2024-04-30T04:06:00.644032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
17.2%
동 31
 
5.1%
성 27
 
4.5%
북 27
 
4.5%
서 26
 
4.3%
울 26
 
4.3%
특 26
 
4.3%
별 26
 
4.3%
시 26
 
4.3%
구 26
 
4.3%
Other values (54) 258
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 363
60.2%
Decimal Number 120
 
19.9%
Space Separator 104
 
17.2%
Dash Punctuation 16
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 31
 
8.5%
성 27
 
7.4%
북 27
 
7.4%
서 26
 
7.2%
울 26
 
7.2%
특 26
 
7.2%
별 26
 
7.2%
시 26
 
7.2%
구 26
 
7.2%
지 11
 
3.0%
Other values (42) 111
30.6%
Decimal Number
ValueCountFrequency (%)
3 24
20.0%
1 22
18.3%
2 19
15.8%
4 11
9.2%
6 11
9.2%
5 9
 
7.5%
9 8
 
6.7%
8 7
 
5.8%
0 6
 
5.0%
7 3
 
2.5%
Space Separator
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 363
60.2%
Common 240
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 31
 
8.5%
성 27
 
7.4%
북 27
 
7.4%
서 26
 
7.2%
울 26
 
7.2%
특 26
 
7.2%
별 26
 
7.2%
시 26
 
7.2%
구 26
 
7.2%
지 11
 
3.0%
Other values (42) 111
30.6%
Common
ValueCountFrequency (%)
104
43.3%
3 24
 
10.0%
1 22
 
9.2%
2 19
 
7.9%
- 16
 
6.7%
4 11
 
4.6%
6 11
 
4.6%
5 9
 
3.8%
9 8
 
3.3%
8 7
 
2.9%
Other values (2) 9
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 363
60.2%
ASCII 240
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
43.3%
3 24
 
10.0%
1 22
 
9.2%
2 19
 
7.9%
- 16
 
6.7%
4 11
 
4.6%
6 11
 
4.6%
5 9
 
3.8%
9 8
 
3.3%
8 7
 
2.9%
Other values (2) 9
 
3.8%
Hangul
ValueCountFrequency (%)
동 31
 
8.5%
성 27
 
7.4%
북 27
 
7.4%
서 26
 
7.2%
울 26
 
7.2%
특 26
 
7.2%
별 26
 
7.2%
시 26
 
7.2%
구 26
 
7.2%
지 11
 
3.0%
Other values (42) 111
30.6%

도로명주소
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-30T04:06:00.852376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length31.884615
Min length23

Characters and Unicode

Total characters829
Distinct characters86
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

Unique22 ?
Unique (%)84.6%

Sample

1st row서울특별시 성북구 보문사길 43 (보문동3가)
2nd row서울특별시 성북구 정릉로 328 (정릉동)
3rd row서울특별시 성북구 보문로13라길 14, 2층 (보문동6가)
4th row서울특별시 성북구 보국문로20길 32 (정릉동)
5th row서울특별시 성북구 돌곶이로39길 13 (장위동)
ValueCountFrequency (%)
서울특별시 26
 
16.0%
성북구 26
 
16.0%
1층 10
 
6.2%
정릉동 10
 
6.2%
장위동 6
 
3.7%
2층 4
 
2.5%
20 3
 
1.9%
아리랑로 2
 
1.2%
동선동5가 2
 
1.2%
보문로13라길 2
 
1.2%
Other values (66) 71
43.8%
2024-04-30T04:06:01.176641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
136
 
16.4%
1 37
 
4.5%
동 32
 
3.9%
성 28
 
3.4%
북 28
 
3.4%
서 26
 
3.1%
특 26
 
3.1%
별 26
 
3.1%
시 26
 
3.1%
구 26
 
3.1%
Other values (76) 438
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 479
57.8%
Space Separator 136
 
16.4%
Decimal Number 131
 
15.8%
Close Punctuation 26
 
3.1%
Open Punctuation 26
 
3.1%
Other Punctuation 25
 
3.0%
Dash Punctuation 5
 
0.6%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 32
 
6.7%
성 28
 
5.8%
북 28
 
5.8%
서 26
 
5.4%
특 26
 
5.4%
별 26
 
5.4%
시 26
 
5.4%
구 26
 
5.4%
울 26
 
5.4%
로 25
 
5.2%
Other values (60) 210
43.8%
Decimal Number
ValueCountFrequency (%)
1 37
28.2%
2 24
18.3%
4 14
 
10.7%
3 14
 
10.7%
0 13
 
9.9%
6 10
 
7.6%
8 5
 
3.8%
9 5
 
3.8%
7 5
 
3.8%
5 4
 
3.1%
Space Separator
ValueCountFrequency (%)
136
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 479
57.8%
Common 349
42.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 32
 
6.7%
성 28
 
5.8%
북 28
 
5.8%
서 26
 
5.4%
특 26
 
5.4%
별 26
 
5.4%
시 26
 
5.4%
구 26
 
5.4%
울 26
 
5.4%
로 25
 
5.2%
Other values (60) 210
43.8%
Common
ValueCountFrequency (%)
136
39.0%
1 37
 
10.6%
) 26
 
7.4%
( 26
 
7.4%
, 25
 
7.2%
2 24
 
6.9%
4 14
 
4.0%
3 14
 
4.0%
0 13
 
3.7%
6 10
 
2.9%
Other values (5) 24
 
6.9%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 479
57.8%
ASCII 350
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
136
38.9%
1 37
 
10.6%
) 26
 
7.4%
( 26
 
7.4%
, 25
 
7.1%
2 24
 
6.9%
4 14
 
4.0%
3 14
 
4.0%
0 13
 
3.7%
6 10
 
2.9%
Other values (6) 25
 
7.1%
Hangul
ValueCountFrequency (%)
동 32
 
6.7%
성 28
 
5.8%
북 28
 
5.8%
서 26
 
5.4%
특 26
 
5.4%
별 26
 
5.4%
시 26
 
5.4%
구 26
 
5.4%
울 26
 
5.4%
로 25
 
5.2%
Other values (60) 210
43.8%

도로명우편번호
Real number (ℝ)

Distinct21
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2792.5385
Minimum2709
Maximum2880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-30T04:06:01.274871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2709
5-th percentile2709.25
Q12748
median2794
Q32852.25
95-th percentile2873
Maximum2880
Range171
Interquartile range (IQR)104.25

Descriptive statistics

Standard deviation60.92568
Coefficient of variation (CV)0.021817311
Kurtosis-1.4401035
Mean2792.5385
Median Absolute Deviation (MAD)57
Skewness-0.017445678
Sum72606
Variance3711.9385
MonotonicityNot monotonic
2024-04-30T04:06:01.364367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2829 2
 
7.7%
2873 2
 
7.7%
2711 2
 
7.7%
2816 2
 
7.7%
2709 2
 
7.7%
2814 1
 
3.8%
2880 1
 
3.8%
2746 1
 
3.8%
2762 1
 
3.8%
2768 1
 
3.8%
Other values (11) 11
42.3%
ValueCountFrequency (%)
2709 2
7.7%
2710 1
3.8%
2711 2
7.7%
2719 1
3.8%
2746 1
3.8%
2754 1
3.8%
2757 1
3.8%
2762 1
3.8%
2768 1
3.8%
2773 1
3.8%
ValueCountFrequency (%)
2880 1
3.8%
2873 2
7.7%
2872 1
3.8%
2866 1
3.8%
2861 1
3.8%
2860 1
3.8%
2829 2
7.7%
2816 2
7.7%
2814 1
3.8%
2813 1
3.8%

사업장명
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-30T04:06:01.510669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length6
Min length2

Characters and Unicode

Total characters156
Distinct characters102
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

Unique23 ?
Unique (%)88.5%

Sample

1st row왕짱
2nd row네츄럴독
3rd row왕짱
4th row하이텍코리아
5th row펫수라간
ValueCountFrequency (%)
왕짱 3
 
9.4%
네츄럴독 1
 
3.1%
세리.나(seri.na 1
 
3.1%
펫츄럴 1
 
3.1%
키친포포 1
 
3.1%
제과점 1
 
3.1%
잇 1
 
3.1%
댕댕 1
 
3.1%
코코맘마 1
 
3.1%
우프밀(woofmeal 1
 
3.1%
Other values (20) 20
62.5%
2024-04-30T04:06:01.778350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
3.8%
( 4
 
2.6%
리 4
 
2.6%
e 4
 
2.6%
스 4
 
2.6%
) 4
 
2.6%
f 4
 
2.6%
코 4
 
2.6%
식 3
 
1.9%
까 3
 
1.9%
Other values (92) 116
74.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 101
64.7%
Lowercase Letter 26
 
16.7%
Uppercase Letter 9
 
5.8%
Space Separator 6
 
3.8%
Open Punctuation 4
 
2.6%
Close Punctuation 4
 
2.6%
Other Punctuation 3
 
1.9%
Decimal Number 3
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 4
 
4.0%
스 4
 
4.0%
코 4
 
4.0%
식 3
 
3.0%
까 3
 
3.0%
왕 3
 
3.0%
이 3
 
3.0%
짱 3
 
3.0%
디 2
 
2.0%
댕 2
 
2.0%
Other values (59) 70
69.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
15.4%
f 4
15.4%
o 3
11.5%
l 2
 
7.7%
a 2
 
7.7%
n 1
 
3.8%
w 1
 
3.8%
c 1
 
3.8%
m 1
 
3.8%
h 1
 
3.8%
Other values (6) 6
23.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
11.1%
E 1
11.1%
R 1
11.1%
I 1
11.1%
N 1
11.1%
A 1
11.1%
D 1
11.1%
K 1
11.1%
J 1
11.1%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
4 1
33.3%
5 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
' 1
33.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 101
64.7%
Latin 35
 
22.4%
Common 20
 
12.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 4
 
4.0%
스 4
 
4.0%
코 4
 
4.0%
식 3
 
3.0%
까 3
 
3.0%
왕 3
 
3.0%
이 3
 
3.0%
짱 3
 
3.0%
디 2
 
2.0%
댕 2
 
2.0%
Other values (59) 70
69.3%
Latin
ValueCountFrequency (%)
e 4
 
11.4%
f 4
 
11.4%
o 3
 
8.6%
l 2
 
5.7%
a 2
 
5.7%
n 1
 
2.9%
w 1
 
2.9%
S 1
 
2.9%
E 1
 
2.9%
c 1
 
2.9%
Other values (15) 15
42.9%
Common
ValueCountFrequency (%)
6
30.0%
( 4
20.0%
) 4
20.0%
. 2
 
10.0%
3 1
 
5.0%
4 1
 
5.0%
5 1
 
5.0%
' 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 101
64.7%
ASCII 55
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6
 
10.9%
( 4
 
7.3%
e 4
 
7.3%
) 4
 
7.3%
f 4
 
7.3%
o 3
 
5.5%
l 2
 
3.6%
a 2
 
3.6%
. 2
 
3.6%
n 1
 
1.8%
Other values (23) 23
41.8%
Hangul
ValueCountFrequency (%)
리 4
 
4.0%
스 4
 
4.0%
코 4
 
4.0%
식 3
 
3.0%
까 3
 
3.0%
왕 3
 
3.0%
이 3
 
3.0%
짱 3
 
3.0%
디 2
 
2.0%
댕 2
 
2.0%
Other values (59) 70
69.3%

최종수정일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2014-08-26 10:04:34
Maximum2024-04-17 15:06:37
2024-04-30T04:06:01.901869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:06:02.001509image/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
18 
I
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 18
69.2%
I 8
30.8%

Length

2024-04-30T04:06:02.106091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:02.192091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 18
69.2%
i 8
30.8%

데이터갱신일자
Date

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:09:00
2024-04-30T04:06:02.270190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:06:02.365859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
단미
24 
배합
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단미 24
92.3%
배합 2
 
7.7%

Length

2024-04-30T04:06:02.477672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:02.558640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 24
92.3%
배합 2
 
7.7%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)92.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean201841.31
Minimum200035.15
Maximum205190.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-30T04:06:02.633283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200035.15
5-th percentile200407.9
Q1200723.27
median201366.03
Q3201773.97
95-th percentile204478.08
Maximum205190.06
Range5154.9023
Interquartile range (IQR)1050.7066

Descriptive statistics

Standard deviation1534.1237
Coefficient of variation (CV)0.0076006426
Kurtosis-0.32902556
Mean201841.31
Median Absolute Deviation (MAD)642.76278
Skewness1.0632759
Sum5046032.8
Variance2353535.4
MonotonicityNot monotonic
2024-04-30T04:06:02.728841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
201366.028351387 2
 
7.7%
201773.972127227 2
 
7.7%
200690.314159871 1
 
3.8%
200577.76405845 1
 
3.8%
200035.15406488 1
 
3.8%
204129.649512178 1
 
3.8%
204225.832819654 1
 
3.8%
204541.147587328 1
 
3.8%
204123.324949571 1
 
3.8%
200365.43066757 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
200035.15406488 1
3.8%
200365.43066757 1
3.8%
200577.76405845 1
3.8%
200690.314159871 1
3.8%
200698.828325111 1
3.8%
200702.99328309 1
3.8%
200723.265572658 1
3.8%
200802.835609996 1
3.8%
200815.940090982 1
3.8%
200828.698990607 1
3.8%
ValueCountFrequency (%)
205190.056408984 1
3.8%
204541.147587328 1
3.8%
204225.832819654 1
3.8%
204129.649512178 1
3.8%
204123.324949571 1
3.8%
204079.442155249 1
3.8%
201773.972127227 2
7.7%
201656.201385347 1
3.8%
201548.495615664 1
3.8%
201513.707942822 1
3.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)92.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean455502.7
Minimum452995.22
Maximum457424.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-30T04:06:02.821137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452995.22
5-th percentile453094.56
Q1454526.56
median455659.82
Q3456702.31
95-th percentile457174.49
Maximum457424.68
Range4429.4574
Interquartile range (IQR)2175.7442

Descriptive statistics

Standard deviation1344.1087
Coefficient of variation (CV)0.0029508249
Kurtosis-0.94221504
Mean455502.7
Median Absolute Deviation (MAD)1121.5839
Skewness-0.47343767
Sum11387567
Variance1806628.3
MonotonicityNot monotonic
2024-04-30T04:06:02.921238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
454702.494061443 2
 
7.7%
452995.218128916 2
 
7.7%
456534.449923178 1
 
3.8%
456363.874084307 1
 
3.8%
454526.564562299 1
 
3.8%
456810.584005872 1
 
3.8%
457424.675484944 1
 
3.8%
456936.664828417 1
 
3.8%
456148.878963272 1
 
3.8%
453936.960322609 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
452995.218128916 2
7.7%
453491.907815721 1
3.8%
453936.960322609 1
3.8%
454046.411975474 1
3.8%
454116.281911428 1
3.8%
454526.564562299 1
3.8%
454702.494061443 2
7.7%
455521.05830576 1
3.8%
455566.200282669 1
3.8%
455627.46866374 1
3.8%
ValueCountFrequency (%)
457424.675484944 1
3.8%
457233.943310552 1
3.8%
456936.664828417 1
3.8%
456810.584005872 1
3.8%
456801.831709037 1
3.8%
456781.401719861 1
3.8%
456702.308744767 1
3.8%
456534.449923178 1
3.8%
456363.874084307 1
3.8%
456179.236895986 1
3.8%

축산업무구분명
Categorical

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

Length

Max length5
Median length4.5
Mean length4.5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

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

Length

2024-04-30T04:06:03.035298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:03.293919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 13
50.0%
na 13
50.0%

축산물가공업구분명
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
13 
단미
12 
배합
 
1

Length

Max length4
Median length3
Mean length3
Min length2

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 13
50.0%
단미 12
46.2%
배합 1
 
3.8%

Length

2024-04-30T04:06:03.380260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:03.473360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
50.0%
단미 12
46.2%
배합 1
 
3.8%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
25 
0
 
1

Length

Max length4
Median length4
Mean length3.8846154
Min length1

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
96.2%
0 1
 
3.8%

Length

2024-04-30T04:06:03.579999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:03.661247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
96.2%
0 1
 
3.8%

권리주체일련번호
Categorical

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

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 13
50.0%
<NA> 13
50.0%

Length

2024-04-30T04:06:03.746107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:03.824953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 13
50.0%
na 13
50.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
25 
0
 
1

Length

Max length4
Median length4
Mean length3.8846154
Min length1

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
96.2%
0 1
 
3.8%

Length

2024-04-30T04:06:03.907792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:06:04.005050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
96.2%
0 1
 
3.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0307000030700000342013000120130913<NA>3폐업2폐업20140825<NA><NA><NA><NA>0<NA>서울특별시 성북구 보문동3가 209번지서울특별시 성북구 보문사길 43 (보문동3가)2872왕짱2014-08-26 10:04:34I2018-08-31 23:59:59.0배합201513.707943453491.907816사료제조업배합<NA>0<NA>
1307000030700000342013000220131031<NA>3폐업2폐업20160128<NA><NA><NA><NA>0<NA>서울특별시 성북구 정릉동 16-162번지서울특별시 성북구 정릉로 328 (정릉동)2816네츄럴독2016-01-29 17:28:26I2018-08-31 23:59:59.0단미201656.201385455521.058306사료제조업단미<NA>0<NA>
2307000030700000342014000120140827<NA>1영업/정상0정상<NA><NA><NA><NA>923-19090<NA>서울특별시 성북구 보문동6가 297번지 2층서울특별시 성북구 보문로13라길 14, 2층 (보문동6가)2873왕짱2019-06-17 15:07:32U2019-06-19 02:40:00.0단미201773.972127452995.218129사료제조업단미<NA>0<NA>
3307000030700000342014000220141114<NA>1영업/정상0정상<NA><NA><NA><NA>02-358-90020<NA>서울특별시 성북구 정릉동 260-26번지서울특별시 성북구 보국문로20길 32 (정릉동)2711하이텍코리아2019-03-14 16:57:27U2019-03-16 02:40:00.0단미200802.83561456702.308745사료제조업단미<NA>0<NA>
4307000030700000342017000120170315<NA>3폐업2폐업20180306<NA><NA><NA><NA>0<NA>서울특별시 성북구 장위동 214-31번지서울특별시 성북구 돌곶이로39길 13 (장위동)2754펫수라간2018-03-06 17:47:04I2018-08-31 23:59:59.0단미204079.442155457233.943311사료제조업단미<NA>0<NA>
5307000030700000342017000220171207<NA>1영업/정상0정상<NA><NA><NA><NA>070-7767-05430<NA>서울특별시 성북구 삼선동2가 6번지서울특별시 성북구 삼선교로11길 24, 4층 (삼선동2가)2861스쿱5432017-12-07 16:36:27I2018-08-31 23:59:59.0단미200815.940091454046.411975사료제조업단미<NA>0<NA>
6307000030700000342018000120180126<NA>1영업/정상0정상<NA><NA><NA><NA>070-4235-93960<NA>서울특별시 성북구 동소문동3가 3번지 1층서울특별시 성북구 동소문로2길 79, 1층 (동소문동3가)2860뚜리까까2019-03-11 15:59:50U2019-03-13 02:40:00.0단미200828.698991454116.281911사료제조업단미<NA>0<NA>
730700003070000034201800022018-07-09<NA>3폐업2폐업2023-05-31<NA><NA><NA><NA>0<NA>서울특별시 성북구 정릉동 383-98 2층서울특별시 성북구 보국문로11길 21-16, 2층 (정릉동)2710뚱이하우스2023-05-31 14:01:20U2022-12-06 00:02:00.0단미200723.265573456179.236896<NA><NA><NA><NA><NA>
8307000030700000342018000320181031<NA>3폐업2폐업20190513<NA><NA><NA><NA>0<NA>서울특별시 성북구 장위동 319번지 꿈의숲코오롱하늘채아파트 104동 104호서울특별시 성북구 돌곶이로 220, 104동 104호 (장위동, 꿈의숲코오롱하늘채아파트)2757구름식탁2019-05-13 17:25:00U2019-05-15 02:40:00.0단미<NA><NA>사료제조업단미<NA>0<NA>
9307000030700000342018000420181116<NA>3폐업2폐업20190509<NA><NA><NA><NA>0<NA>서울특별시 성북구 정릉동 431-59번지 1층서울특별시 성북구 정릉로24길 61, 1층 (정릉동)2813곰곰2019-05-10 17:32:22U2019-05-12 02:40:00.0단미200702.993283455761.543783사료제조업단미<NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
16307000030700000342020000320200922<NA>3폐업2폐업20211213<NA><NA><NA>02-942-23430<NA>서울특별시 성북구 정릉동 144-3서울특별시 성북구 정릉로26길 50, 1층 (정릉동)2814타코2021-12-13 13:27:22U2021-12-15 02:40:00.0단미201038.284854455627.468664사료제조업단미000
17307000030700000342021000120210105<NA>3폐업2폐업20210705<NA><NA><NA>070806541910<NA>서울특별시 성북구 정릉동 1034 길음뉴타운10단지서울특별시 성북구 정릉로 307, B112호 (정릉동, 길음뉴타운10단지)2719텐퍼센트2021-07-05 17:06:56U2021-07-07 02:40:00.0단미201548.495616455659.817852사료제조업단미<NA>0<NA>
1830700003070000034202100022021-07-09<NA>3폐업2폐업2023-05-19<NA><NA><NA><NA>0<NA>서울특별시 성북구 삼선동1가 5 제이에스원-혜화서울특별시 성북구 창경궁로 318(삼선동1가, 제이에스원-혜화)2866위디즈2023-05-19 15:53:59U2022-12-04 22:01:00.0단미200365.430668453936.960323<NA><NA><NA><NA><NA>
1930700003070000034202200012022-02-24<NA>1영업/정상0정상<NA><NA><NA>2023-06-19<NA>0<NA>서울특별시 성북구 상월곡동 28-98서울특별시 성북구 장월로 18-1, 1층 우측호 (상월곡동)2773우프밀(woofmeal)2023-06-19 15:54:11U2022-12-05 22:01:00.0단미204123.32495456148.878963<NA><NA><NA><NA><NA>
20307000030700000342022000220220419<NA>3폐업2폐업20221208<NA><NA><NA><NA>0<NA>서울특별시 성북구 동선동5가 36서울특별시 성북구 아리랑로 20, 1층 (동선동5가)2829코코맘마2022-12-09 09:39:13U2021-11-01 23:01:00.0단미201366.028351454702.494061<NA><NA><NA><NA><NA>
2130700003070000034202200032022-10-18<NA>3폐업2폐업2024-04-17<NA><NA><NA><NA>0<NA>서울특별시 성북구 장위동 75-398서울특별시 성북구 장위로41길 8-10, 1층 (장위동)2768댕댕 잇 제과점2024-04-17 15:06:37U2023-12-03 23:09:00.0단미204541.147587456936.664828<NA><NA><NA><NA><NA>
2230700003070000034202300012023-05-17<NA>3폐업2폐업2024-04-12<NA><NA><NA><NA>0<NA>서울특별시 성북구 장위동 323 꿈의숲 아이파크 제상가5동 제1층제1호서울특별시 성북구 돌곶이로40길 46, 제상가5동 제1층 제2호 (장위동, 꿈의숲 아이파크)2762키친포포2024-04-12 09:30:46U2023-12-03 23:04:00.0단미204225.83282457424.675485<NA><NA><NA><NA><NA>
2330700003070000034202300022023-05-18<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 성북구 장위동 233-23서울특별시 성북구 장위로 98, 1층 우측일부호 (장위동)2746펫츄럴2023-05-18 14:31:36I2022-12-04 22:00:00.0단미204129.649512456810.584006<NA><NA><NA><NA><NA>
2430700003070000034202300032023-06-13<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 성북구 성북동 133-1서울특별시 성북구 성북로 69, 1층 2호 (성북동)2880세리.나(SERI.NA)2023-06-13 08:55:56I2022-12-05 23:05:00.0단미200035.154065454526.564562<NA><NA><NA><NA><NA>
2530700003070000034202300042023-10-16<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 성북구 정릉동 685-23서울특별시 성북구 솔샘로6길 37, 101호 (정릉동)2709푸딩이네2023-10-17 08:37:34I2022-10-30 23:09:00.0단미200577.764058456363.874084<NA><NA><NA><NA><NA>