Overview

Dataset statistics

Number of variables30
Number of observations46
Missing cells295
Missing cells (%)21.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.4 KiB
Average record size in memory254.9 B

Variable types

Categorical12
Numeric5
DateTime7
Unsupported2
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-18109/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 is highly imbalanced (84.9%)Imbalance
축산일련번호 is highly imbalanced (74.2%)Imbalance
총인원 is highly imbalanced (74.2%)Imbalance
인허가취소일자 has 46 (100.0%) missing valuesMissing
폐업일자 has 16 (34.8%) missing valuesMissing
휴업시작일자 has 42 (91.3%) missing valuesMissing
휴업종료일자 has 42 (91.3%) missing valuesMissing
재개업일자 has 39 (84.8%) missing valuesMissing
전화번호 has 24 (52.2%) missing valuesMissing
소재지우편번호 has 46 (100.0%) missing valuesMissing
도로명주소 has 20 (43.5%) missing valuesMissing
도로명우편번호 has 20 (43.5%) 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
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 32 (69.6%) zerosZeros

Reproduction

Analysis started2024-05-11 06:12:00.441805
Analysis finished2024-05-11 06:12:00.908890
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
3070000
46 

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 46
100.0%

Length

2024-05-11T15:12:00.976687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:01.091135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 46
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct46
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 size546.0 B
2024-05-11T15:12:01.196251image/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
Range200002
Interquartile range (IQR)87488

Descriptive statistics

Standard deviation55707.65
Coefficient of variation (CV)1.8145814 × 10-13
Kurtosis-1.0248126
Mean3.07 × 1017
Median Absolute Deviation (MAD)44992
Skewness0.24635732
Sum-4.3247441 × 1018
Variance3.1033423 × 109
MonotonicityStrictly increasing
2024-05-11T15:12:01.357638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
307000000420010001 1
 
2.2%
307000000420160001 1
 
2.2%
307000000420110002 1
 
2.2%
307000000420130001 1
 
2.2%
307000000420130002 1
 
2.2%
307000000420130003 1
 
2.2%
307000000420140001 1
 
2.2%
307000000420140002 1
 
2.2%
307000000420140003 1
 
2.2%
307000000420140004 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
307000000420010001 1
2.2%
307000000420030001 1
2.2%
307000000420030002 1
2.2%
307000000420030003 1
2.2%
307000000420040001 1
2.2%
307000000420040003 1
2.2%
307000000420050002 1
2.2%
307000000420050003 1
2.2%
307000000420050004 1
2.2%
307000000420050005 1
2.2%
ValueCountFrequency (%)
307000000420210003 1
2.2%
307000000420210002 1
2.2%
307000000420210001 1
2.2%
307000000420190001 1
2.2%
307000000420180003 1
2.2%
307000000420180002 1
2.2%
307000000420180001 1
2.2%
307000000420170001 1
2.2%
307000000420160003 1
2.2%
307000000420160002 1
2.2%

인허가일자
Date

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2001-10-26 00:00:00
Maximum2021-12-06 00:00:00
2024-05-11T15:12:01.511692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:01.655081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
3
29 
1
11 
2
5 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 29
63.0%
1 11
 
23.9%
2 5
 
10.9%
4 1
 
2.2%

Length

2024-05-11T15:12:01.802789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:01.911324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 29
63.0%
1 11
 
23.9%
2 5
 
10.9%
4 1
 
2.2%

영업상태명
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
폐업
29 
영업/정상
11 
휴업
5 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length2.9782609
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 29
63.0%
영업/정상 11
 
23.9%
휴업 5
 
10.9%
취소/말소/만료/정지/중지 1
 
2.2%

Length

2024-05-11T15:12:02.044712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:02.166075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 29
63.0%
영업/정상 11
 
23.9%
휴업 5
 
10.9%
취소/말소/만료/정지/중지 1
 
2.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
2
29 
0
11 
1
5 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
2 29
63.0%
0 11
 
23.9%
1 5
 
10.9%
4 1
 
2.2%

Length

2024-05-11T15:12:02.317715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:02.446323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 29
63.0%
0 11
 
23.9%
1 5
 
10.9%
4 1
 
2.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
폐업
29 
정상
11 
휴업
5 
말소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 29
63.0%
정상 11
 
23.9%
휴업 5
 
10.9%
말소 1
 
2.2%

Length

2024-05-11T15:12:02.572873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:02.688094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 29
63.0%
정상 11
 
23.9%
휴업 5
 
10.9%
말소 1
 
2.2%

폐업일자
Date

MISSING 

Distinct29
Distinct (%)96.7%
Missing16
Missing (%)34.8%
Memory size500.0 B
Minimum2003-04-29 00:00:00
Maximum2023-08-30 00:00:00
2024-05-11T15:12:02.797301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:02.935205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

휴업시작일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing42
Missing (%)91.3%
Memory size500.0 B
Minimum2019-02-27 00:00:00
Maximum2023-08-25 00:00:00
2024-05-11T15:12:03.100222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:03.325970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

휴업종료일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing42
Missing (%)91.3%
Memory size500.0 B
Minimum2019-08-04 00:00:00
Maximum2025-08-25 00:00:00
2024-05-11T15:12:03.482096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:03.596270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

재개업일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing39
Missing (%)84.8%
Memory size500.0 B
Minimum2017-04-18 00:00:00
Maximum2023-08-30 00:00:00
2024-05-11T15:12:03.747214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:03.885536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

전화번호
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing24
Missing (%)52.2%
Memory size500.0 B
2024-05-11T15:12:04.102547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.4090909
Min length8

Characters and Unicode

Total characters185
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

Unique20 ?
Unique (%)90.9%

Sample

1st row962-4815
2nd row921-8832
3rd row3673-4611
4th row926-4286
5th row924-1122
ValueCountFrequency (%)
943-0945 2
 
9.1%
943-2495 1
 
4.5%
962-4815 1
 
4.5%
942-5897 1
 
4.5%
917-9000 1
 
4.5%
918-7772 1
 
4.5%
911-7100 1
 
4.5%
919-8200 1
 
4.5%
888-0388 1
 
4.5%
070-7760-7052 1
 
4.5%
Other values (11) 11
50.0%
2024-05-11T15:12:04.459998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 29
15.7%
- 24
13.0%
0 21
11.4%
2 18
9.7%
1 18
9.7%
8 18
9.7%
7 15
8.1%
4 14
7.6%
5 11
 
5.9%
3 9
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 161
87.0%
Dash Punctuation 24
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 29
18.0%
0 21
13.0%
2 18
11.2%
1 18
11.2%
8 18
11.2%
7 15
9.3%
4 14
8.7%
5 11
 
6.8%
3 9
 
5.6%
6 8
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 185
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 29
15.7%
- 24
13.0%
0 21
11.4%
2 18
9.7%
1 18
9.7%
8 18
9.7%
7 15
8.1%
4 14
7.6%
5 11
 
5.9%
3 9
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 185
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 29
15.7%
- 24
13.0%
0 21
11.4%
2 18
9.7%
1 18
9.7%
8 18
9.7%
7 15
8.1%
4 14
7.6%
5 11
 
5.9%
3 9
 
4.9%

소재지면적
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.912609
Minimum0
Maximum819
Zeros32
Zeros (%)69.6%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T15:12:04.653065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q344.175
95-th percentile255.47
Maximum819
Range819
Interquartile range (IQR)44.175

Descriptive statistics

Standard deviation160.74254
Coefficient of variation (CV)2.7284912
Kurtosis15.267611
Mean58.912609
Median Absolute Deviation (MAD)0
Skewness3.8418754
Sum2709.98
Variance25838.163
MonotonicityNot monotonic
2024-05-11T15:12:04.823628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 32
69.6%
52.0 1
 
2.2%
51.3 1
 
2.2%
163.22 1
 
2.2%
56.3 1
 
2.2%
155.0 1
 
2.2%
54.0 1
 
2.2%
84.66 1
 
2.2%
22.57 1
 
2.2%
178.88 1
 
2.2%
Other values (5) 5
 
10.9%
ValueCountFrequency (%)
0.0 32
69.6%
22.57 1
 
2.2%
22.8 1
 
2.2%
51.3 1
 
2.2%
52.0 1
 
2.2%
54.0 1
 
2.2%
56.3 1
 
2.2%
84.66 1
 
2.2%
89.25 1
 
2.2%
155.0 1
 
2.2%
ValueCountFrequency (%)
819.0 1
2.2%
680.0 1
2.2%
281.0 1
2.2%
178.88 1
2.2%
163.22 1
2.2%
155.0 1
2.2%
89.25 1
2.2%
84.66 1
2.2%
56.3 1
2.2%
54.0 1
2.2%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

지번주소
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T15:12:05.136189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length28
Mean length23.195652
Min length17

Characters and Unicode

Total characters1067
Distinct characters50
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)95.7%

Sample

1st row서울특별시 성북구 석관동 131-12번지
2nd row서울특별시 성북구 하월곡동 61-4번지
3rd row서울특별시 성북구 동선동3가 31번지
4th row서울특별시 성북구 성북동 177-28번지
5th row서울특별시 성북구 보문동1가 82-17번지
ValueCountFrequency (%)
서울특별시 46
23.0%
성북구 46
23.0%
하월곡동 9
 
4.5%
석관동 7
 
3.5%
장위동 7
 
3.5%
정릉동 4
 
2.0%
종암동 3
 
1.5%
1층 3
 
1.5%
221 2
 
1.0%
안암동1가 2
 
1.0%
Other values (66) 71
35.5%
2024-05-11T15:12:05.681711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
17.8%
1 59
 
5.5%
동 49
 
4.6%
성 48
 
4.5%
북 48
 
4.5%
서 46
 
4.3%
특 46
 
4.3%
별 46
 
4.3%
시 46
 
4.3%
구 46
 
4.3%
Other values (40) 443
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 622
58.3%
Decimal Number 214
 
20.1%
Space Separator 190
 
17.8%
Dash Punctuation 38
 
3.6%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 49
 
7.9%
성 48
 
7.7%
북 48
 
7.7%
서 46
 
7.4%
특 46
 
7.4%
별 46
 
7.4%
시 46
 
7.4%
구 46
 
7.4%
울 46
 
7.4%
지 35
 
5.6%
Other values (27) 166
26.7%
Decimal Number
ValueCountFrequency (%)
1 59
27.6%
2 34
15.9%
3 32
15.0%
6 17
 
7.9%
0 16
 
7.5%
5 13
 
6.1%
9 12
 
5.6%
8 11
 
5.1%
7 10
 
4.7%
4 10
 
4.7%
Space Separator
ValueCountFrequency (%)
190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 622
58.3%
Common 445
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 49
 
7.9%
성 48
 
7.7%
북 48
 
7.7%
서 46
 
7.4%
특 46
 
7.4%
별 46
 
7.4%
시 46
 
7.4%
구 46
 
7.4%
울 46
 
7.4%
지 35
 
5.6%
Other values (27) 166
26.7%
Common
ValueCountFrequency (%)
190
42.7%
1 59
 
13.3%
- 38
 
8.5%
2 34
 
7.6%
3 32
 
7.2%
6 17
 
3.8%
0 16
 
3.6%
5 13
 
2.9%
9 12
 
2.7%
8 11
 
2.5%
Other values (3) 23
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 622
58.3%
ASCII 445
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
190
42.7%
1 59
 
13.3%
- 38
 
8.5%
2 34
 
7.6%
3 32
 
7.2%
6 17
 
3.8%
0 16
 
3.6%
5 13
 
2.9%
9 12
 
2.7%
8 11
 
2.5%
Other values (3) 23
 
5.2%
Hangul
ValueCountFrequency (%)
동 49
 
7.9%
성 48
 
7.7%
북 48
 
7.7%
서 46
 
7.4%
특 46
 
7.4%
별 46
 
7.4%
시 46
 
7.4%
구 46
 
7.4%
울 46
 
7.4%
지 35
 
5.6%
Other values (27) 166
26.7%

도로명주소
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing20
Missing (%)43.5%
Memory size500.0 B
2024-05-11T15:12:06.011554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length35.5
Mean length28.615385
Min length22

Characters and Unicode

Total characters744
Distinct characters73
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

Unique26 ?
Unique (%)100.0%

Sample

1st row서울특별시 성북구 성북로 34 (성북동)
2nd row서울특별시 성북구 월곡로10길 60 (종암동)
3rd row서울특별시 성북구 돌곶이로14길 78, 1층, 지하1층 (석관동)
4th row서울특별시 성북구 한천로101길 45 (장위동)
5th row서울특별시 성북구 화랑로11길 8 (하월곡동)
ValueCountFrequency (%)
서울특별시 26
 
18.2%
성북구 26
 
18.2%
하월곡동 5
 
3.5%
석관동 4
 
2.8%
정릉동 3
 
2.1%
장위동 3
 
2.1%
성북동 2
 
1.4%
종암동 2
 
1.4%
1층 2
 
1.4%
한천로76길 2
 
1.4%
Other values (66) 68
47.6%
2024-05-11T15:12:06.488526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
 
15.9%
성 30
 
4.0%
북 30
 
4.0%
동 28
 
3.8%
1 28
 
3.8%
서 26
 
3.5%
울 26
 
3.5%
) 26
 
3.5%
( 26
 
3.5%
구 26
 
3.5%
Other values (63) 380
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 436
58.6%
Space Separator 118
 
15.9%
Decimal Number 115
 
15.5%
Close Punctuation 26
 
3.5%
Open Punctuation 26
 
3.5%
Other Punctuation 14
 
1.9%
Dash Punctuation 7
 
0.9%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 30
 
6.9%
북 30
 
6.9%
동 28
 
6.4%
서 26
 
6.0%
울 26
 
6.0%
구 26
 
6.0%
로 26
 
6.0%
시 26
 
6.0%
별 26
 
6.0%
특 26
 
6.0%
Other values (45) 166
38.1%
Decimal Number
ValueCountFrequency (%)
1 28
24.3%
3 14
12.2%
6 13
11.3%
2 11
 
9.6%
4 11
 
9.6%
9 9
 
7.8%
7 9
 
7.8%
5 9
 
7.8%
0 6
 
5.2%
8 5
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 13
92.9%
/ 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
118
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 436
58.6%
Common 306
41.1%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 30
 
6.9%
북 30
 
6.9%
동 28
 
6.4%
서 26
 
6.0%
울 26
 
6.0%
구 26
 
6.0%
로 26
 
6.0%
시 26
 
6.0%
별 26
 
6.0%
특 26
 
6.0%
Other values (45) 166
38.1%
Common
ValueCountFrequency (%)
118
38.6%
1 28
 
9.2%
) 26
 
8.5%
( 26
 
8.5%
3 14
 
4.6%
6 13
 
4.2%
, 13
 
4.2%
2 11
 
3.6%
4 11
 
3.6%
9 9
 
2.9%
Other values (6) 37
 
12.1%
Latin
ValueCountFrequency (%)
D 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 436
58.6%
ASCII 308
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
38.3%
1 28
 
9.1%
) 26
 
8.4%
( 26
 
8.4%
3 14
 
4.5%
6 13
 
4.2%
, 13
 
4.2%
2 11
 
3.6%
4 11
 
3.6%
9 9
 
2.9%
Other values (8) 39
 
12.7%
Hangul
ValueCountFrequency (%)
성 30
 
6.9%
북 30
 
6.9%
동 28
 
6.4%
서 26
 
6.0%
울 26
 
6.0%
구 26
 
6.0%
로 26
 
6.0%
시 26
 
6.0%
별 26
 
6.0%
특 26
 
6.0%
Other values (45) 166
38.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)96.2%
Missing20
Missing (%)43.5%
Infinite0
Infinite (%)0.0%
Mean2784.4231
Minimum2708
Maximum2873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T15:12:06.622388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2708
5-th percentile2710.25
Q12748.75
median2781
Q32829.5
95-th percentile2867
Maximum2873
Range165
Interquartile range (IQR)80.75

Descriptive statistics

Standard deviation49.964926
Coefficient of variation (CV)0.017944445
Kurtosis-0.96321597
Mean2784.4231
Median Absolute Deviation (MAD)36.5
Skewness0.28222945
Sum72395
Variance2496.4938
MonotonicityNot monotonic
2024-05-11T15:12:06.805122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2781 2
 
4.3%
2855 1
 
2.2%
2845 1
 
2.2%
2734 1
 
2.2%
2708 1
 
2.2%
2748 1
 
2.2%
2850 1
 
2.2%
2743 1
 
2.2%
2709 1
 
2.2%
2873 1
 
2.2%
Other values (15) 15
32.6%
(Missing) 20
43.5%
ValueCountFrequency (%)
2708 1
2.2%
2709 1
2.2%
2714 1
2.2%
2734 1
2.2%
2738 1
2.2%
2743 1
2.2%
2748 1
2.2%
2751 1
2.2%
2752 1
2.2%
2758 1
2.2%
ValueCountFrequency (%)
2873 1
2.2%
2871 1
2.2%
2855 1
2.2%
2850 1
2.2%
2845 1
2.2%
2835 1
2.2%
2834 1
2.2%
2816 1
2.2%
2800 1
2.2%
2795 1
2.2%

사업장명
Text

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T15:12:07.065412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length12
Mean length5.7391304
Min length2

Characters and Unicode

Total characters264
Distinct characters116
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

Unique42 ?
Unique (%)91.3%

Sample

1st row백운유통
2nd row제일식품
3rd row(주)엠이에이상사
4th row(주)우들
5th row충남농장
ValueCountFrequency (%)
비너발트 2
 
4.0%
jk푸드 2
 
4.0%
백운유통 1
 
2.0%
정다정푸드 1
 
2.0%
클라식소시지(klassik 1
 
2.0%
sausage 1
 
2.0%
가부끼 1
 
2.0%
주)세경 1
 
2.0%
웅진씨케이 1
 
2.0%
보드레 1
 
2.0%
Other values (38) 38
76.0%
2024-05-11T15:12:07.476441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
드 13
 
4.9%
이 12
 
4.5%
( 11
 
4.2%
) 11
 
4.2%
푸 10
 
3.8%
주 10
 
3.8%
식 7
 
2.7%
비 5
 
1.9%
진 5
 
1.9%
우 5
 
1.9%
Other values (106) 175
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 215
81.4%
Lowercase Letter 14
 
5.3%
Open Punctuation 11
 
4.2%
Close Punctuation 11
 
4.2%
Uppercase Letter 6
 
2.3%
Space Separator 4
 
1.5%
Decimal Number 2
 
0.8%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 13
 
6.0%
이 12
 
5.6%
푸 10
 
4.7%
주 10
 
4.7%
식 7
 
3.3%
비 5
 
2.3%
진 5
 
2.3%
우 5
 
2.3%
에 5
 
2.3%
리 4
 
1.9%
Other values (88) 139
64.7%
Lowercase Letter
ValueCountFrequency (%)
s 4
28.6%
a 3
21.4%
k 2
14.3%
g 1
 
7.1%
u 1
 
7.1%
i 1
 
7.1%
e 1
 
7.1%
l 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
K 2
33.3%
J 2
33.3%
G 1
16.7%
F 1
16.7%
Decimal Number
ValueCountFrequency (%)
0 1
50.0%
1 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 215
81.4%
Common 29
 
11.0%
Latin 20
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 13
 
6.0%
이 12
 
5.6%
푸 10
 
4.7%
주 10
 
4.7%
식 7
 
3.3%
비 5
 
2.3%
진 5
 
2.3%
우 5
 
2.3%
에 5
 
2.3%
리 4
 
1.9%
Other values (88) 139
64.7%
Latin
ValueCountFrequency (%)
s 4
20.0%
a 3
15.0%
K 2
10.0%
J 2
10.0%
k 2
10.0%
g 1
 
5.0%
u 1
 
5.0%
i 1
 
5.0%
e 1
 
5.0%
G 1
 
5.0%
Other values (2) 2
10.0%
Common
ValueCountFrequency (%)
( 11
37.9%
) 11
37.9%
4
 
13.8%
0 1
 
3.4%
1 1
 
3.4%
& 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 215
81.4%
ASCII 49
 
18.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
드 13
 
6.0%
이 12
 
5.6%
푸 10
 
4.7%
주 10
 
4.7%
식 7
 
3.3%
비 5
 
2.3%
진 5
 
2.3%
우 5
 
2.3%
에 5
 
2.3%
리 4
 
1.9%
Other values (88) 139
64.7%
ASCII
ValueCountFrequency (%)
( 11
22.4%
) 11
22.4%
s 4
 
8.2%
4
 
8.2%
a 3
 
6.1%
K 2
 
4.1%
J 2
 
4.1%
k 2
 
4.1%
g 1
 
2.0%
u 1
 
2.0%
Other values (8) 8
16.3%

최종수정일자
Date

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2003-04-30 16:19:29
Maximum2023-08-30 17:28:45
2024-05-11T15:12:07.669297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:07.846147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
I
26 
U
20 

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 26
56.5%
U 20
43.5%

Length

2024-05-11T15:12:08.006807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:08.094025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 26
56.5%
u 20
43.5%

데이터갱신일자
Date

Distinct21
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-09 00:01:00
2024-05-11T15:12:08.190834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:08.327323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
식육가공업
45 
알가공업
 
1

Length

Max length5
Median length5
Mean length4.9782609
Min length4

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row식육가공업
2nd row식육가공업
3rd row식육가공업
4th row식육가공업
5th row알가공업

Common Values

ValueCountFrequency (%)
식육가공업 45
97.8%
알가공업 1
 
2.2%

Length

2024-05-11T15:12:08.479711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:08.584466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 45
97.8%
알가공업 1
 
2.2%

좌표정보(X)
Real number (ℝ)

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202921.96
Minimum200228.89
Maximum205818.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T15:12:08.701332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200228.89
5-th percentile200470.73
Q1201682.53
median202916.55
Q3204204.39
95-th percentile205664.29
Maximum205818.85
Range5589.9656
Interquartile range (IQR)2521.8607

Descriptive statistics

Standard deviation1633.9148
Coefficient of variation (CV)0.0080519369
Kurtosis-0.98283288
Mean202921.96
Median Absolute Deviation (MAD)1271.0275
Skewness0.21217689
Sum9334410.1
Variance2669677.6
MonotonicityNot monotonic
2024-05-11T15:12:08.870786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
202203.849193311 2
 
4.3%
202809.82149136 2
 
4.3%
204204.386675127 2
 
4.3%
205684.684609466 1
 
2.2%
203851.400321954 1
 
2.2%
204342.019457429 1
 
2.2%
203150.958403042 1
 
2.2%
204238.771969406 1
 
2.2%
200388.968947075 1
 
2.2%
205335.530818756 1
 
2.2%
Other values (33) 33
71.7%
ValueCountFrequency (%)
200228.886737108 1
2.2%
200280.271942246 1
2.2%
200388.968947075 1
2.2%
200716.014663731 1
2.2%
200819.819779447 1
2.2%
200823.017488077 1
2.2%
201179.953026985 1
2.2%
201334.515564881 1
2.2%
201509.763484444 1
2.2%
201626.979975686 1
2.2%
ValueCountFrequency (%)
205818.852385165 1
2.2%
205724.277420238 1
2.2%
205684.684609466 1
2.2%
205603.099834605 1
2.2%
205583.671446823 1
2.2%
205335.530818756 1
2.2%
205232.638999928 1
2.2%
204697.52615731 1
2.2%
204342.019457429 1
2.2%
204261.463758518 1
2.2%

좌표정보(Y)
Real number (ℝ)

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455512.58
Minimum453106.14
Maximum457738.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T15:12:09.075212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453106.14
5-th percentile453439.18
Q1454398.13
median455788.74
Q3456463.88
95-th percentile457398.41
Maximum457738.39
Range4632.2557
Interquartile range (IQR)2065.7467

Descriptive statistics

Standard deviation1265.8622
Coefficient of variation (CV)0.0027789841
Kurtosis-0.91165413
Mean455512.58
Median Absolute Deviation (MAD)918.25689
Skewness-0.25778996
Sum20953579
Variance1602407.1
MonotonicityNot monotonic
2024-05-11T15:12:09.249755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
455728.06161291 2
 
4.3%
455760.866177938 2
 
4.3%
457738.394259698 2
 
4.3%
456699.705815037 1
 
2.2%
455824.32083394 1
 
2.2%
456218.615137622 1
 
2.2%
454726.378427704 1
 
2.2%
457322.777471861 1
 
2.2%
454342.849378356 1
 
2.2%
456299.534166495 1
 
2.2%
Other values (33) 33
71.7%
ValueCountFrequency (%)
453106.138583431 1
2.2%
453136.097355527 1
2.2%
453403.531356157 1
2.2%
453546.118018879 1
2.2%
453876.385019073 1
2.2%
453896.675768339 1
2.2%
453914.860674773 1
2.2%
453976.097543244 1
2.2%
454017.607352655 1
2.2%
454071.07326149 1
2.2%
ValueCountFrequency (%)
457738.394259698 2
4.3%
457423.617145425 1
2.2%
457322.777471861 1
2.2%
456865.916776218 1
2.2%
456834.989482434 1
2.2%
456714.280676805 1
2.2%
456699.705815037 1
2.2%
456639.798445525 1
2.2%
456562.677086155 1
2.2%
456530.895690582 1
2.2%

축산업무구분명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
축산물가공업
36 
<NA>
10 

Length

Max length6
Median length6
Mean length5.5652174
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물가공업 36
78.3%
<NA> 10
 
21.7%

Length

2024-05-11T15:12:09.399312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:09.535147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물가공업 36
78.3%
na 10
 
21.7%

축산물가공업구분명
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
식육가공업
35 
<NA>
10 
알가공업
 
1

Length

Max length5
Median length5
Mean length4.7608696
Min length4

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row식육가공업
2nd row식육가공업
3rd row식육가공업
4th row식육가공업
5th row알가공업

Common Values

ValueCountFrequency (%)
식육가공업 35
76.1%
<NA> 10
 
21.7%
알가공업 1
 
2.2%

Length

2024-05-11T15:12:09.666545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:10.114342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 35
76.1%
na 10
 
21.7%
알가공업 1
 
2.2%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T15:12:10.236108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:10.353902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

권리주체일련번호
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
000
28 
<NA>
10 
L00
8 

Length

Max length4
Median length3
Mean length3.2173913
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 28
60.9%
<NA> 10
 
21.7%
L00 8
 
17.4%

Length

2024-05-11T15:12:10.495917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:10.626561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 28
60.9%
na 10
 
21.7%
l00 8
 
17.4%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T15:12:10.751503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:10.868303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0307000030700000042001000120011026<NA>3폐업2폐업20060511<NA><NA><NA>962-48150.0<NA>서울특별시 성북구 석관동 131-12번지<NA><NA>백운유통2006-05-11 15:26:15I2018-08-31 23:59:59.0식육가공업205684.684609456699.705815축산물가공업식육가공업<NA>000<NA>
1307000030700000042003000120030428<NA>3폐업2폐업20030429<NA><NA><NA><NA>52.0<NA>서울특별시 성북구 하월곡동 61-4번지<NA><NA>제일식품2003-04-30 16:19:29I2018-08-31 23:59:59.0식육가공업203374.634885455817.867692축산물가공업식육가공업<NA>000<NA>
2307000030700000042003000220030117<NA>3폐업2폐업20030919<NA><NA><NA>921-883251.3<NA>서울특별시 성북구 동선동3가 31번지<NA><NA>(주)엠이에이상사2003-09-19 09:03:56I2018-08-31 23:59:59.0식육가공업201763.759857454745.733405축산물가공업식육가공업<NA>L00<NA>
3307000030700000042003000320030609<NA>1영업/정상0정상<NA><NA><NA><NA>3673-4611163.22<NA>서울특별시 성북구 성북동 177-28번지서울특별시 성북구 성북로 34 (성북동)2835(주)우들2015-01-05 10:18:37I2018-08-31 23:59:59.0식육가공업200280.271942454303.730142축산물가공업식육가공업<NA>L00<NA>
4307000030700000042004000120040607<NA>3폐업2폐업20060317<NA><NA><NA>926-428656.3<NA>서울특별시 성북구 보문동1가 82-17번지<NA><NA>충남농장2006-03-17 18:18:01I2018-08-31 23:59:59.0알가공업201690.260189453896.675768축산물가공업알가공업<NA>000<NA>
5307000030700000042004000320040910<NA>3폐업2폐업20081229<NA><NA><NA>924-11220.0<NA>서울특별시 성북구 종암동 23-34번지<NA><NA>오에이치푸드2008-12-29 13:27:18I2018-08-31 23:59:59.0식육가공업203023.28717454580.86153축산물가공업식육가공업<NA>000<NA>
6307000030700000042005000220050428<NA>3폐업2폐업20051215<NA><NA><NA><NA>0.0<NA>서울특별시 성북구 장위동 65-118번지<NA><NA>옵톤2009-07-14 21:12:42I2018-08-31 23:59:59.0식육가공업204697.526157456453.409724축산물가공업식육가공업<NA>000<NA>
7307000030700000042005000320050531<NA>3폐업2폐업20071214<NA><NA><NA><NA>0.0<NA>서울특별시 성북구 석관동 220-1번지<NA><NA>뜸팡이푸드시스템(주)2009-07-14 21:11:57I2018-08-31 23:59:59.0식육가공업205232.639456639.798446축산물가공업식육가공업<NA>000<NA>
8307000030700000042005000420050818<NA>3폐업2폐업20070426<NA><NA><NA>943-0945155.0<NA>서울특별시 성북구 하월곡동 90-233번지<NA><NA>JK푸드2007-04-26 16:57:18I2018-08-31 23:59:59.0식육가공업202809.821491455760.866178축산물가공업식육가공업<NA>000<NA>
9307000030700000042005000520050819<NA>3폐업2폐업20050819<NA><NA><NA>943-094554.0<NA>서울특별시 성북구 하월곡동 90-233번지<NA><NA>JK푸드2009-07-14 21:13:41I2018-08-31 23:59:59.0식육가공업202809.821491455760.866178축산물가공업식육가공업<NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
36307000030700000042016000220160822<NA>3폐업2폐업20220427<NA><NA>20220427919-82000.0<NA>서울특별시 성북구 하월곡동 71-12서울특별시 성북구 오패산로3길 36-12 (하월곡동)2738진미식품2022-04-27 15:50:36U2021-12-03 22:09:00.0식육가공업203113.990064455894.427096<NA><NA><NA><NA><NA>
37307000030700000042016000320161101<NA>3폐업2폐업20170418<NA><NA>20170418<NA>0.0<NA>서울특별시 성북구 보문동7가 69번지 4층서울특별시 성북구 보문로13가길 3, 4층 (보문동7가)2873클라우드102017-04-18 18:00:18I2018-08-31 23:59:59.0식육가공업201815.269665453106.138583축산물가공업식육가공업<NA>000<NA>
38307000030700000042017000120170411<NA>1영업/정상0정상<NA><NA><NA><NA>911-71000.0<NA>서울특별시 성북구 정릉동 284-13 3층4층서울특별시 성북구 보국문로 69, 건양B/D 3,4층 (정릉동)2709(주)영진엠앤에프2022-06-23 12:06:59U2021-12-05 22:05:00.0식육가공업200716.014664456467.370606<NA><NA><NA><NA><NA>
39307000030700000042018000120180612<NA>1영업/정상0정상<NA><NA><NA><NA>918-77720.0<NA>서울특별시 성북구 장위동 231-25번지 2층서울특별시 성북구 장위로 56, 2층 (장위동)2743큐젤푸드 주식회사2018-06-12 09:23:12I2018-08-31 23:59:59.0식육가공업203707.193417456834.989482축산물가공업식육가공업<NA>L00<NA>
4030700003070000004201800022018-07-05<NA>3폐업2폐업2023-08-30<NA><NA>2023-08-30<NA>0.0<NA>서울특별시 성북구 석관동 110-2 109호,110호,111호 상가동서울특별시 성북구 한천로76길 73, 상가동 109호,110호,111호 (석관동, 중앙하이츠아파트)2781진흥식품(주)2023-08-30 17:28:45U2022-12-09 00:01:00.0식육가공업205818.852385456530.895691<NA><NA><NA><NA><NA>
41307000030700000042018000320180920<NA>2휴업1휴업<NA>2019030520190804<NA><NA>0.0<NA>서울특별시 성북구 안암동1가 22번지 1층서울특별시 성북구 인촌로7길 62, 1층 (안암동1가)2850곰이복이2019-03-05 13:55:53U2019-03-07 02:40:00.0식육가공업201662.331774454017.607353축산물가공업식육가공업<NA>L00<NA>
42307000030700000042019000120190410<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 성북구 하월곡동 53-10서울특별시 성북구 화랑로5길 66 (하월곡동)2748진해물산2022-03-14 10:07:53U2022-03-16 02:40:00.0식육가공업203493.737145455872.93701축산물가공업식육가공업00000
4330700003070000004202100012021-03-11<NA>3폐업2폐업2023-02-06<NA><NA>2023-02-06917-90000.0<NA>서울특별시 성북구 정릉동 667-1서울특별시 성북구 정릉로 165 (정릉동)2708소한마리 정육식당2023-02-06 15:48:47U2022-12-02 00:08:00.0식육가공업200228.886737456171.98504<NA><NA><NA><NA><NA>
4430700003070000004202100022021-04-16<NA>3폐업2폐업2023-06-02<NA><NA><NA>919-80000.0<NA>서울특별시 성북구 하월곡동 221 5층서울특별시 성북구 정릉로 395, 5층 (하월곡동)2734갈비명가이상2023-06-14 19:39:07U2022-12-05 23:06:00.0식육가공업202203.849193455728.061613<NA><NA><NA><NA><NA>
4530700003070000004202100032021-12-06<NA>2휴업1휴업<NA>2023-08-252025-08-25<NA><NA>0.0<NA>서울특별시 성북구 동선동3가 180서울특별시 성북구 보문로34가길 41(동선동3가)2845고기이지2023-08-25 10:31:59U2022-12-07 22:07:00.0식육가공업201698.385109454563.986731<NA><NA><NA><NA><NA>