Overview

Dataset statistics

Number of variables30
Number of observations45
Missing cells248
Missing cells (%)18.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.2 KiB
Average record size in memory254.9 B

Variable types

Categorical13
Numeric5
DateTime6
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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-18112/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (73.8%)Imbalance
영업상태명 is highly imbalanced (73.8%)Imbalance
상세영업상태코드 is highly imbalanced (73.8%)Imbalance
상세영업상태명 is highly imbalanced (73.8%)Imbalance
데이터갱신일자 is highly imbalanced (54.0%)Imbalance
업태구분명 is highly imbalanced (73.8%)Imbalance
축산물가공업구분명 is highly imbalanced (54.7%)Imbalance
축산일련번호 is highly imbalanced (73.8%)Imbalance
총인원 is highly imbalanced (73.8%)Imbalance
인허가취소일자 has 45 (100.0%) missing valuesMissing
폐업일자 has 3 (6.7%) missing valuesMissing
휴업시작일자 has 43 (95.6%) missing valuesMissing
휴업종료일자 has 43 (95.6%) missing valuesMissing
재개업일자 has 30 (66.7%) missing valuesMissing
전화번호 has 18 (40.0%) missing valuesMissing
소재지우편번호 has 45 (100.0%) missing valuesMissing
도로명우편번호 has 21 (46.7%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 24 (53.3%) zerosZeros

Reproduction

Analysis started2024-05-11 07:02:24.850775
Analysis finished2024-05-11 07:02:25.404420
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
3100000
45 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 45
100.0%

Length

2024-05-11T16:02:25.490621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:25.922979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 45
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1 × 1017
Minimum3.1 × 1017
Maximum3.1 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T16:02:26.077520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1 × 1017
5-th percentile3.1 × 1017
Q13.1 × 1017
median3.1 × 1017
Q33.1 × 1017
95-th percentile3.1 × 1017
Maximum3.1 × 1017
Range190000
Interquartile range (IQR)89984

Descriptive statistics

Standard deviation46931.301
Coefficient of variation (CV)1.5139129 × 10-13
Kurtosis-0.92828912
Mean3.1 × 1017
Median Absolute Deviation (MAD)30016
Skewness0.38898813
Sum-4.4967441 × 1018
Variance2.202547 × 109
MonotonicityStrictly increasing
2024-05-11T16:02:26.284059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
310000000419990001 1
 
2.2%
310000000420120002 1
 
2.2%
310000000420090002 1
 
2.2%
310000000420090003 1
 
2.2%
310000000420090004 1
 
2.2%
310000000420100001 1
 
2.2%
310000000420100002 1
 
2.2%
310000000420100003 1
 
2.2%
310000000420110001 1
 
2.2%
310000000420110002 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
310000000419990001 1
2.2%
310000000420010001 1
2.2%
310000000420030001 1
2.2%
310000000420030002 1
2.2%
310000000420030003 1
2.2%
310000000420030005 1
2.2%
310000000420030006 1
2.2%
310000000420030007 1
2.2%
310000000420030008 1
2.2%
310000000420030009 1
2.2%
ValueCountFrequency (%)
310000000420180001 1
2.2%
310000000420160002 1
2.2%
310000000420160001 1
2.2%
310000000420140002 1
2.2%
310000000420140001 1
2.2%
310000000420130003 1
2.2%
310000000420130002 1
2.2%
310000000420130001 1
2.2%
310000000420120004 1
2.2%
310000000420120003 1
2.2%

인허가일자
Date

Distinct42
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum1997-01-28 00:00:00
Maximum2018-07-09 00:00:00
2024-05-11T16:02:26.477681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:26.646312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
3
42 
1
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 42
93.3%
1 2
 
4.4%
4 1
 
2.2%

Length

2024-05-11T16:02:26.820575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:26.956929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 42
93.3%
1 2
 
4.4%
4 1
 
2.2%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
폐업
42 
영업/정상
 
2
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length2.4
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 42
93.3%
영업/정상 2
 
4.4%
취소/말소/만료/정지/중지 1
 
2.2%

Length

2024-05-11T16:02:27.114770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:27.309927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 42
93.3%
영업/정상 2
 
4.4%
취소/말소/만료/정지/중지 1
 
2.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
2
42 
0
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
2 42
93.3%
0 2
 
4.4%
4 1
 
2.2%

Length

2024-05-11T16:02:27.514428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:27.673240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 42
93.3%
0 2
 
4.4%
4 1
 
2.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
폐업
42 
정상
 
2
말소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 42
93.3%
정상 2
 
4.4%
말소 1
 
2.2%

Length

2024-05-11T16:02:27.836151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:27.996276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 42
93.3%
정상 2
 
4.4%
말소 1
 
2.2%

폐업일자
Date

MISSING 

Distinct40
Distinct (%)95.2%
Missing3
Missing (%)6.7%
Memory size492.0 B
Minimum2003-05-09 00:00:00
Maximum2023-05-02 00:00:00
2024-05-11T16:02:28.149460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:28.344866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing43
Missing (%)95.6%
Memory size492.0 B
Minimum2018-01-01 00:00:00
Maximum2019-04-01 00:00:00
2024-05-11T16:02:28.485051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:28.644902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing43
Missing (%)95.6%
Memory size492.0 B
Minimum2018-06-30 00:00:00
Maximum2020-03-31 00:00:00
2024-05-11T16:02:28.776437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:28.899605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Date

MISSING 

Distinct15
Distinct (%)100.0%
Missing30
Missing (%)66.7%
Memory size492.0 B
Minimum2016-10-10 00:00:00
Maximum2023-05-02 00:00:00
2024-05-11T16:02:29.024909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:29.158130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

전화번호
Text

MISSING 

Distinct26
Distinct (%)96.3%
Missing18
Missing (%)40.0%
Memory size492.0 B
2024-05-11T16:02:29.422996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length8.3703704
Min length8

Characters and Unicode

Total characters226
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)92.6%

Sample

1st row933-7156
2nd row02-979-2454
3rd row951-0472
4th row971-3633
5th row935-5001
ValueCountFrequency (%)
937-5500 2
 
7.4%
978-8959 1
 
3.7%
933-7156 1
 
3.7%
933-9286 1
 
3.7%
909-8600 1
 
3.7%
971-2277 1
 
3.7%
934-9587 1
 
3.7%
02-495-6720 1
 
3.7%
949-6243 1
 
3.7%
971-9114 1
 
3.7%
Other values (16) 16
59.3%
2024-05-11T16:02:29.932868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 41
18.1%
3 29
12.8%
- 29
12.8%
5 22
9.7%
7 21
9.3%
2 21
9.3%
0 19
8.4%
1 15
 
6.6%
8 11
 
4.9%
4 9
 
4.0%
Other values (2) 9
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 196
86.7%
Dash Punctuation 29
 
12.8%
Math Symbol 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 41
20.9%
3 29
14.8%
5 22
11.2%
7 21
10.7%
2 21
10.7%
0 19
9.7%
1 15
 
7.7%
8 11
 
5.6%
4 9
 
4.6%
6 8
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 226
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 41
18.1%
3 29
12.8%
- 29
12.8%
5 22
9.7%
7 21
9.3%
2 21
9.3%
0 19
8.4%
1 15
 
6.6%
8 11
 
4.9%
4 9
 
4.0%
Other values (2) 9
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 226
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 41
18.1%
3 29
12.8%
- 29
12.8%
5 22
9.7%
7 21
9.3%
2 21
9.3%
0 19
8.4%
1 15
 
6.6%
8 11
 
4.9%
4 9
 
4.0%
Other values (2) 9
 
4.0%

소재지면적
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.536667
Minimum0
Maximum350
Zeros24
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T16:02:30.131850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q378
95-th percentile162.6
Maximum350
Range350
Interquartile range (IQR)78

Descriptive statistics

Standard deviation71.900764
Coefficient of variation (CV)1.5125327
Kurtosis6.0594842
Mean47.536667
Median Absolute Deviation (MAD)0
Skewness2.1547286
Sum2139.15
Variance5169.7199
MonotonicityNot monotonic
2024-05-11T16:02:30.281663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 24
53.3%
25.2 1
 
2.2%
153.0 1
 
2.2%
138.8 1
 
2.2%
96.0 1
 
2.2%
24.0 1
 
2.2%
81.25 1
 
2.2%
86.12 1
 
2.2%
59.64 1
 
2.2%
78.0 1
 
2.2%
Other values (12) 12
26.7%
ValueCountFrequency (%)
0.0 24
53.3%
24.0 1
 
2.2%
25.2 1
 
2.2%
35.08 1
 
2.2%
36.3 1
 
2.2%
44.0 1
 
2.2%
59.64 1
 
2.2%
63.12 1
 
2.2%
65.06 1
 
2.2%
75.7 1
 
2.2%
ValueCountFrequency (%)
350.0 1
2.2%
198.72 1
2.2%
165.0 1
2.2%
153.0 1
2.2%
138.8 1
2.2%
138.0 1
2.2%
121.16 1
2.2%
105.0 1
2.2%
96.0 1
2.2%
86.12 1
2.2%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

지번주소
Text

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-05-11T16:02:30.554158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length22.444444
Min length14

Characters and Unicode

Total characters1010
Distinct characters37
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

Unique43 ?
Unique (%)95.6%

Sample

1st row서울특별시 노원구 상계동 1113-45번지
2nd row서울특별시 노원구 공릉동 684-11번지
3rd row서울특별시 노원구 하계동 276-6
4th row서울특별시 노원구 중계동 43-17번지
5th row서울특별시 노원구 하계동 164-2번지
ValueCountFrequency (%)
서울특별시 45
24.3%
노원구 45
24.3%
상계동 20
10.8%
공릉동 15
 
8.1%
중계동 4
 
2.2%
월계동 3
 
1.6%
하계동 3
 
1.6%
43-15번지 2
 
1.1%
62-9 1
 
0.5%
1108-21번지 1
 
0.5%
Other values (46) 46
24.9%
2024-05-11T16:02:30.993558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
17.8%
서 45
 
4.5%
특 45
 
4.5%
별 45
 
4.5%
시 45
 
4.5%
노 45
 
4.5%
원 45
 
4.5%
구 45
 
4.5%
울 45
 
4.5%
동 45
 
4.5%
Other values (27) 425
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 580
57.4%
Decimal Number 204
 
20.2%
Space Separator 180
 
17.8%
Dash Punctuation 43
 
4.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 45
 
7.8%
특 45
 
7.8%
별 45
 
7.8%
시 45
 
7.8%
노 45
 
7.8%
원 45
 
7.8%
구 45
 
7.8%
울 45
 
7.8%
동 45
 
7.8%
지 39
 
6.7%
Other values (12) 136
23.4%
Decimal Number
ValueCountFrequency (%)
1 39
19.1%
4 30
14.7%
5 23
11.3%
3 21
10.3%
2 19
9.3%
8 19
9.3%
0 17
8.3%
7 16
7.8%
6 15
 
7.4%
9 5
 
2.5%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 580
57.4%
Common 429
42.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 45
 
7.8%
특 45
 
7.8%
별 45
 
7.8%
시 45
 
7.8%
노 45
 
7.8%
원 45
 
7.8%
구 45
 
7.8%
울 45
 
7.8%
동 45
 
7.8%
지 39
 
6.7%
Other values (12) 136
23.4%
Common
ValueCountFrequency (%)
180
42.0%
- 43
 
10.0%
1 39
 
9.1%
4 30
 
7.0%
5 23
 
5.4%
3 21
 
4.9%
2 19
 
4.4%
8 19
 
4.4%
0 17
 
4.0%
7 16
 
3.7%
Other values (4) 22
 
5.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 580
57.4%
ASCII 430
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
41.9%
- 43
 
10.0%
1 39
 
9.1%
4 30
 
7.0%
5 23
 
5.3%
3 21
 
4.9%
2 19
 
4.4%
8 19
 
4.4%
0 17
 
4.0%
7 16
 
3.7%
Other values (5) 23
 
5.3%
Hangul
ValueCountFrequency (%)
서 45
 
7.8%
특 45
 
7.8%
별 45
 
7.8%
시 45
 
7.8%
노 45
 
7.8%
원 45
 
7.8%
구 45
 
7.8%
울 45
 
7.8%
동 45
 
7.8%
지 39
 
6.7%
Other values (12) 136
23.4%

도로명주소
Text

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-05-11T16:02:31.298555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length27.666667
Min length21

Characters and Unicode

Total characters1245
Distinct characters72
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

Unique43 ?
Unique (%)95.6%

Sample

1st row서울특별시 노원구 동일로241가길 18 (상계동, 흰돌교회)
2nd row서울특별시 노원구 섬밭로 6 (공릉동)
3rd row서울특별시 노원구 공릉로63길 13 (하계동)
4th row서울특별시 노원구 중계로 116-6 (중계동)
5th row서울특별시 노원구 공릉로58길 90 (하계동)
ValueCountFrequency (%)
서울특별시 45
18.8%
노원구 45
18.8%
상계동 19
 
7.9%
공릉동 13
 
5.4%
1층 5
 
2.1%
중계동 4
 
1.7%
섬밭로 3
 
1.3%
하계동 3
 
1.3%
월계동 3
 
1.3%
14 2
 
0.8%
Other values (85) 97
40.6%
2024-05-11T16:02:31.936697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
195
 
15.7%
동 61
 
4.9%
1 53
 
4.3%
) 46
 
3.7%
로 46
 
3.7%
( 46
 
3.7%
노 46
 
3.7%
원 46
 
3.7%
서 45
 
3.6%
구 45
 
3.6%
Other values (62) 616
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 731
58.7%
Decimal Number 201
 
16.1%
Space Separator 195
 
15.7%
Close Punctuation 46
 
3.7%
Open Punctuation 46
 
3.7%
Other Punctuation 14
 
1.1%
Dash Punctuation 10
 
0.8%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 61
 
8.3%
로 46
 
6.3%
노 46
 
6.3%
원 46
 
6.3%
서 45
 
6.2%
구 45
 
6.2%
시 45
 
6.2%
별 45
 
6.2%
특 45
 
6.2%
울 45
 
6.2%
Other values (46) 262
35.8%
Decimal Number
ValueCountFrequency (%)
1 53
26.4%
2 29
14.4%
3 22
10.9%
4 22
10.9%
7 17
 
8.5%
8 15
 
7.5%
6 14
 
7.0%
5 12
 
6.0%
9 10
 
5.0%
0 7
 
3.5%
Space Separator
ValueCountFrequency (%)
195
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 731
58.7%
Common 512
41.1%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 61
 
8.3%
로 46
 
6.3%
노 46
 
6.3%
원 46
 
6.3%
서 45
 
6.2%
구 45
 
6.2%
시 45
 
6.2%
별 45
 
6.2%
특 45
 
6.2%
울 45
 
6.2%
Other values (46) 262
35.8%
Common
ValueCountFrequency (%)
195
38.1%
1 53
 
10.4%
) 46
 
9.0%
( 46
 
9.0%
2 29
 
5.7%
3 22
 
4.3%
4 22
 
4.3%
7 17
 
3.3%
8 15
 
2.9%
6 14
 
2.7%
Other values (5) 53
 
10.4%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 731
58.7%
ASCII 514
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
195
37.9%
1 53
 
10.3%
) 46
 
8.9%
( 46
 
8.9%
2 29
 
5.6%
3 22
 
4.3%
4 22
 
4.3%
7 17
 
3.3%
8 15
 
2.9%
6 14
 
2.7%
Other values (6) 55
 
10.7%
Hangul
ValueCountFrequency (%)
동 61
 
8.3%
로 46
 
6.3%
노 46
 
6.3%
원 46
 
6.3%
서 45
 
6.2%
구 45
 
6.2%
시 45
 
6.2%
별 45
 
6.2%
특 45
 
6.2%
울 45
 
6.2%
Other values (46) 262
35.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)79.2%
Missing21
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean1731.2083
Minimum1606
Maximum1899
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T16:02:32.096835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1606
5-th percentile1606.45
Q11626
median1725.5
Q31845.75
95-th percentile1885.85
Maximum1899
Range293
Interquartile range (IQR)219.75

Descriptive statistics

Standard deviation107.18614
Coefficient of variation (CV)0.06191406
Kurtosis-1.6782906
Mean1731.2083
Median Absolute Deviation (MAD)111.5
Skewness0.17288517
Sum41549
Variance11488.868
MonotonicityNot monotonic
2024-05-11T16:02:32.253408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1848 3
 
6.7%
1614 2
 
4.4%
1727 2
 
4.4%
1606 2
 
4.4%
1630 1
 
2.2%
1724 1
 
2.2%
1892 1
 
2.2%
1634 1
 
2.2%
1610 1
 
2.2%
1809 1
 
2.2%
Other values (9) 9
20.0%
(Missing) 21
46.7%
ValueCountFrequency (%)
1606 2
4.4%
1609 1
2.2%
1610 1
2.2%
1614 2
4.4%
1630 1
2.2%
1634 1
2.2%
1641 1
2.2%
1665 1
2.2%
1681 1
2.2%
1724 1
2.2%
ValueCountFrequency (%)
1899 1
 
2.2%
1892 1
 
2.2%
1851 1
 
2.2%
1848 3
6.7%
1845 1
 
2.2%
1818 1
 
2.2%
1809 1
 
2.2%
1803 1
 
2.2%
1727 2
4.4%
1724 1
 
2.2%

사업장명
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-05-11T16:02:32.543748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length5.6444444
Min length2

Characters and Unicode

Total characters254
Distinct characters114
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

Unique45 ?
Unique (%)100.0%

Sample

1st row경북유통
2nd row다인미트
3rd row(주)유토피아물산
4th row에벤에셀유통
5th row신도봉산식품
ValueCountFrequency (%)
경북유통 1
 
2.1%
서울유통 1
 
2.1%
참유통 1
 
2.1%
하나로유통 1
 
2.1%
주식회사 1
 
2.1%
다인식품 1
 
2.1%
주식회사참쿡 1
 
2.1%
파사루봉인터내셔널 1
 
2.1%
용푸드 1
 
2.1%
참가 1
 
2.1%
Other values (37) 37
78.7%
2024-05-11T16:02:33.040684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 12
 
4.7%
품 11
 
4.3%
식 11
 
4.3%
유 10
 
3.9%
( 10
 
3.9%
) 10
 
3.9%
통 9
 
3.5%
드 9
 
3.5%
스 8
 
3.1%
푸 8
 
3.1%
Other values (104) 156
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 231
90.9%
Open Punctuation 10
 
3.9%
Close Punctuation 10
 
3.9%
Space Separator 2
 
0.8%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 12
 
5.2%
품 11
 
4.8%
식 11
 
4.8%
유 10
 
4.3%
통 9
 
3.9%
드 9
 
3.9%
스 8
 
3.5%
푸 8
 
3.5%
에 6
 
2.6%
다 5
 
2.2%
Other values (100) 142
61.5%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 231
90.9%
Common 23
 
9.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 12
 
5.2%
품 11
 
4.8%
식 11
 
4.8%
유 10
 
4.3%
통 9
 
3.9%
드 9
 
3.9%
스 8
 
3.5%
푸 8
 
3.5%
에 6
 
2.6%
다 5
 
2.2%
Other values (100) 142
61.5%
Common
ValueCountFrequency (%)
( 10
43.5%
) 10
43.5%
2
 
8.7%
? 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 231
90.9%
ASCII 23
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 12
 
5.2%
품 11
 
4.8%
식 11
 
4.8%
유 10
 
4.3%
통 9
 
3.9%
드 9
 
3.9%
스 8
 
3.5%
푸 8
 
3.5%
에 6
 
2.6%
다 5
 
2.2%
Other values (100) 142
61.5%
ASCII
ValueCountFrequency (%)
( 10
43.5%
) 10
43.5%
2
 
8.7%
? 1
 
4.3%

최종수정일자
Date

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2003-06-30 15:04:23
Maximum2023-05-02 09:53:58
2024-05-11T16:02:33.228796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:33.413203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
I
34 
U
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 34
75.6%
U 11
 
24.4%

Length

2024-05-11T16:02:33.589899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:33.729224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 34
75.6%
u 11
 
24.4%

데이터갱신일자
Categorical

IMBALANCE 

Distinct12
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
2018-08-31 23:59:59.0
34 
2022-12-05 00:04:00.0
 
1
2019-06-02 02:40:00.0
 
1
2018-11-16 02:36:45.0
 
1
2022-01-15 02:40:00.0
 
1
Other values (7)
7 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique11 ?
Unique (%)24.4%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2022-12-05 00:04:00.0
4th row2018-08-31 23:59:59.0
5th row2019-06-02 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 34
75.6%
2022-12-05 00:04:00.0 1
 
2.2%
2019-06-02 02:40:00.0 1
 
2.2%
2018-11-16 02:36:45.0 1
 
2.2%
2022-01-15 02:40:00.0 1
 
2.2%
2022-12-04 22:06:00.0 1
 
2.2%
2021-11-05 02:40:00.0 1
 
2.2%
2021-03-06 02:40:00.0 1
 
2.2%
2022-12-03 22:03:00.0 1
 
2.2%
2021-02-19 02:40:00.0 1
 
2.2%
Other values (2) 2
 
4.4%

Length

2024-05-11T16:02:33.871159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 34
37.8%
23:59:59.0 34
37.8%
02:40:00.0 5
 
5.6%
2022-12-03 2
 
2.2%
2021-11-05 1
 
1.1%
00:02:00.0 1
 
1.1%
2021-11-02 1
 
1.1%
2021-02-19 1
 
1.1%
22:03:00.0 1
 
1.1%
2021-03-06 1
 
1.1%
Other values (9) 9
 
10.0%

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
식육가공업
42 
유가공업
 
2
알가공업
 
1

Length

Max length5
Median length5
Mean length4.9333333
Min length4

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 42
93.3%
유가공업 2
 
4.4%
알가공업 1
 
2.2%

Length

2024-05-11T16:02:34.048492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:34.244866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 42
93.3%
유가공업 2
 
4.4%
알가공업 1
 
2.2%

좌표정보(X)
Real number (ℝ)

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206129.72
Minimum204454.15
Maximum209288.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T16:02:34.426301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204454.15
5-th percentile204503.3
Q1205641.2
median206243.04
Q3206625.67
95-th percentile207409.61
Maximum209288.47
Range4834.327
Interquartile range (IQR)984.46192

Descriptive statistics

Standard deviation1000.9627
Coefficient of variation (CV)0.0048559843
Kurtosis1.0299097
Mean206129.72
Median Absolute Deviation (MAD)431.80144
Skewness0.23019595
Sum9275837.4
Variance1001926.3
MonotonicityNot monotonic
2024-05-11T16:02:34.616263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
206539.157404229 2
 
4.4%
207415.665302618 2
 
4.4%
206635.031711826 1
 
2.2%
206370.346927908 1
 
2.2%
205163.107842243 1
 
2.2%
207156.237276139 1
 
2.2%
204498.444678905 1
 
2.2%
204533.771260028 1
 
2.2%
204522.744591198 1
 
2.2%
206314.902910194 1
 
2.2%
Other values (33) 33
73.3%
ValueCountFrequency (%)
204454.145658318 1
2.2%
204454.219222095 1
2.2%
204498.444678905 1
2.2%
204522.744591198 1
2.2%
204533.771260028 1
2.2%
204588.602809 1
2.2%
204693.498180807 1
2.2%
204878.051611685 1
2.2%
205070.622667648 1
2.2%
205163.107842243 1
2.2%
ValueCountFrequency (%)
209288.472624641 1
2.2%
207415.665302618 2
4.4%
207385.380323557 1
2.2%
207201.014366845 1
2.2%
207156.237276139 1
2.2%
207105.241612335 1
2.2%
206999.128357387 1
2.2%
206975.554170705 1
2.2%
206873.337205167 1
2.2%
206635.031711826 1
2.2%

좌표정보(Y)
Real number (ℝ)

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean460427.29
Minimum457227.46
Maximum463844.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T16:02:34.823838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum457227.46
5-th percentile457312.55
Q1457825.65
median460440.01
Q3462429.12
95-th percentile463763.75
Maximum463844.34
Range6616.8865
Interquartile range (IQR)4603.4777

Descriptive statistics

Standard deviation2408.3623
Coefficient of variation (CV)0.0052307115
Kurtosis-1.5946461
Mean460427.29
Median Absolute Deviation (MAD)2521.6079
Skewness0.014180805
Sum20719228
Variance5800209.1
MonotonicityNot monotonic
2024-05-11T16:02:35.013692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
457735.45067157 2
 
4.4%
460440.011514894 2
 
4.4%
457469.717056592 1
 
2.2%
457302.379071299 1
 
2.2%
457825.646096013 1
 
2.2%
463253.417628415 1
 
2.2%
463780.370456798 1
 
2.2%
463844.342415178 1
 
2.2%
463697.276459781 1
 
2.2%
462357.465711467 1
 
2.2%
Other values (33) 33
73.3%
ValueCountFrequency (%)
457227.455882764 1
2.2%
457231.287859181 1
2.2%
457302.379071299 1
2.2%
457353.229350385 1
2.2%
457434.214717297 1
2.2%
457469.717056592 1
2.2%
457559.29405511 1
2.2%
457593.754955577 1
2.2%
457716.712600116 1
2.2%
457735.45067157 2
4.4%
ValueCountFrequency (%)
463844.342415178 1
2.2%
463801.64757776 1
2.2%
463780.370456798 1
2.2%
463697.276459781 1
2.2%
463537.607226883 1
2.2%
463497.743108089 1
2.2%
463451.637795491 1
2.2%
463426.615582528 1
2.2%
463382.6488388 1
2.2%
463253.417628415 1
2.2%

축산업무구분명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
축산물가공업
40 
<NA>
5 

Length

Max length6
Median length6
Mean length5.7777778
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물가공업 40
88.9%
<NA> 5
 
11.1%

Length

2024-05-11T16:02:35.205434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:35.372742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물가공업 40
88.9%
na 5
 
11.1%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
식육가공업
37 
<NA>
5 
유가공업
 
2
알가공업
 
1

Length

Max length5
Median length5
Mean length4.8222222
Min length4

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 37
82.2%
<NA> 5
 
11.1%
유가공업 2
 
4.4%
알가공업 1
 
2.2%

Length

2024-05-11T16:02:35.522524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:35.669336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 37
82.2%
na 5
 
11.1%
유가공업 2
 
4.4%
알가공업 1
 
2.2%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
43 
0
 
2

Length

Max length4
Median length4
Mean length3.8666667
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> 43
95.6%
0 2
 
4.4%

Length

2024-05-11T16:02:35.828472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:36.271862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
95.6%
0 2
 
4.4%

권리주체일련번호
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
000
25 
L00
15 
<NA>
5 

Length

Max length4
Median length3
Mean length3.1111111
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 25
55.6%
L00 15
33.3%
<NA> 5
 
11.1%

Length

2024-05-11T16:02:36.434783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:36.624541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 25
55.6%
l00 15
33.3%
na 5
 
11.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
43 
0
 
2

Length

Max length4
Median length4
Mean length3.8666667
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> 43
95.6%
0 2
 
4.4%

Length

2024-05-11T16:02:36.773443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:36.926492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
95.6%
0 2
 
4.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0310000031000000041999000119991112<NA>3폐업2폐업20171201<NA><NA>20171201933-715625.2<NA>서울특별시 노원구 상계동 1113-45번지서울특별시 노원구 동일로241가길 18 (상계동, 흰돌교회)1606경북유통2017-12-01 10:11:12I2018-08-31 23:59:59.0알가공업204693.498181463801.647578축산물가공업알가공업<NA>000<NA>
1310000031000000042001000120011105<NA>3폐업2폐업20030509<NA><NA><NA><NA>36.3<NA>서울특별시 노원구 공릉동 684-11번지서울특별시 노원구 섬밭로 6 (공릉동)<NA>다인미트2003-06-30 15:04:23I2018-08-31 23:59:59.0식육가공업206371.764554457227.455883축산물가공업식육가공업<NA>000<NA>
231000003100000004200300011997-01-28<NA>3폐업2폐업2023-05-022019-04-012020-03-312023-05-0202-979-2454198.72<NA>서울특별시 노원구 하계동 276-6서울특별시 노원구 공릉로63길 13 (하계동)<NA>(주)유토피아물산2023-05-02 09:53:58U2022-12-05 00:04:00.0식육가공업206156.733065459169.464921<NA><NA><NA><NA><NA>
3310000031000000042003000220030613<NA>3폐업2폐업20100628<NA><NA><NA>951-0472138.0<NA>서울특별시 노원구 중계동 43-17번지서울특별시 노원구 중계로 116-6 (중계동)<NA>에벤에셀유통2010-07-05 10:03:07I2018-08-31 23:59:59.0식육가공업207201.014367460405.166257축산물가공업식육가공업<NA>000<NA>
4310000031000000042003000320030613<NA>3폐업2폐업20190531<NA><NA>20190531971-363365.06<NA>서울특별시 노원구 하계동 164-2번지서울특별시 노원구 공릉로58길 90 (하계동)1809신도봉산식품2019-05-31 13:28:08U2019-06-02 02:40:00.0식육가공업206414.974017459239.420954축산물가공업식육가공업<NA>000<NA>
5310000031000000042003000520020814<NA>3폐업2폐업20100426<NA><NA><NA>935-500163.12<NA>서울특별시 노원구 상계동 143-35번지서울특별시 노원구 한글비석로24라길 49 (상계동)1665온누리식품2011-10-30 16:05:22I2018-08-31 23:59:59.0식육가공업206196.893444462448.823337축산물가공업식육가공업<NA>000<NA>
6310000031000000042003000620020902<NA>3폐업2폐업20070319<NA><NA><NA>972-857935.08<NA>서울특별시 노원구 공릉동 333-5번지서울특별시 노원구 공릉로32길 14 (공릉동)<NA>대성유통2007-03-19 17:14:44I2018-08-31 23:59:59.0식육가공업206975.554171457716.7126축산물가공업식육가공업<NA>000<NA>
7310000031000000042003000720030107<NA>3폐업2폐업20100628<NA><NA><NA>935-123175.7<NA>서울특별시 노원구 상계동 155-27번지서울특별시 노원구 한글비석로24라길 31 (상계동)<NA>중원랜츠2010-07-05 09:57:47I2018-08-31 23:59:59.0식육가공업206254.35312462385.720357축산물가공업식육가공업<NA>000<NA>
8310000031000000042003000820030613<NA>3폐업2폐업20040225<NA><NA><NA><NA>0.0<NA>서울특별시 노원구 공릉동 26-21번지서울특별시 노원구 화랑로 815 (공릉동)<NA>삼육대학식품2004-02-25 10:34:06I2018-08-31 23:59:59.0유가공업209288.472625460064.539721축산물가공업유가공업<NA>L00<NA>
9310000031000000042003000920030613<NA>3폐업2폐업20040607<NA><NA><NA><NA>0.0<NA>서울특별시 노원구 공릉동 684-58번지서울특별시 노원구 화랑로 419-3 (공릉동)<NA>플로렌스아이스크림2004-06-07 09:33:27I2018-08-31 23:59:59.0유가공업206449.524175457231.287859축산물가공업유가공업<NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
35310000031000000042012000320120803<NA>3폐업2폐업20140403<NA><NA><NA>937-55000.0<NA>서울특별시 노원구 중계동 43-15번지서울특별시 노원구 중계로8길 48 (중계동)1727(주)제오식품2014-04-03 18:03:49I2018-08-31 23:59:59.0식육가공업207415.665303460440.011515축산물가공업식육가공업<NA>L00<NA>
36310000031000000042012000420120911<NA>3폐업2폐업20140128<NA><NA><NA>3296-30000.0<NA>서울특별시 노원구 공릉동 711번지서울특별시 노원구 동일로197길 12 (공릉동)1851흑돈가 노원직영점2014-02-05 16:40:55I2018-08-31 23:59:59.0식육가공업206153.651722458521.183768축산물가공업식육가공업<NA>L00<NA>
37310000031000000042013000120130409<NA>3폐업2폐업20151028<NA><NA><NA><NA>0.0<NA>서울특별시 노원구 상계동 1087-5번지서울특별시 노원구 동일로237길 71 (상계동)1614늘품식품2015-10-28 14:19:58I2018-08-31 23:59:59.0식육가공업204454.219222463426.615583축산물가공업식육가공업<NA>000<NA>
38310000031000000042013000220130819<NA>3폐업2폐업20140304<NA><NA><NA><NA>0.0<NA>서울특별시 노원구 공릉동 593-10번지서울특별시 노원구 동일로176길 19-13 (공릉동)1848아이비스푸드2014-03-05 08:50:54I2018-08-31 23:59:59.0식육가공업206625.665794457593.754956축산물가공업식육가공업<NA>L00<NA>
39310000031000000042013000320130821<NA>3폐업2폐업20150210<NA><NA><NA><NA>0.0<NA>서울특별시 노원구 공릉동 653-4번지서울특별시 노원구 공릉로20길 4 (공릉동)1803제일푸드시스템2015-02-10 16:59:37I2018-08-31 23:59:59.0식육가공업206873.337205457434.214717축산물가공업식육가공업<NA>000<NA>
40310000031000000042014000120140409<NA>3폐업2폐업20170912<NA><NA>20170912937-55000.0<NA>서울특별시 노원구 중계동 43-15번지서울특별시 노원구 중계로8길 48 (중계동)1727(주)중앙에프앤비2017-09-13 11:11:10I2018-08-31 23:59:59.0식육가공업207415.665303460440.011515축산물가공업식육가공업<NA>L00<NA>
41310000031000000042014000220140724<NA>3폐업2폐업20180630<NA><NA>20180630<NA>0.0<NA>서울특별시 노원구 상계동 43-27번지서울특별시 노원구 덕릉로134길 19, 1층 (상계동)1641(주)더커2018-07-17 18:00:33I2018-08-31 23:59:59.0식육가공업207385.380324463451.637795축산물가공업식육가공업<NA>L00<NA>
42310000031000000042016000120160429<NA>3폐업2폐업20180228<NA><NA>20180228<NA>0.0<NA>서울특별시 노원구 상계동 389-107번지서울특별시 노원구 한글비석로31길 16-4, 1층 1호 (상계동)1681상계닭꼬치2018-05-31 13:54:22I2018-08-31 23:59:59.0식육가공업206084.126453462098.195295축산물가공업식육가공업<NA>000<NA>
4331000003100000004201600022016-12-21<NA>3폐업2폐업2023-04-192018-01-012018-06-302023-04-19<NA>0.0<NA>서울특별시 노원구 공릉동 577-4서울특별시 노원구 동일로178길 11-17, 1층 (공릉동, 대한검도관)1848정일품2023-04-19 10:02:58U2022-12-03 22:01:00.0식육가공업206539.157404457735.450672<NA><NA><NA><NA><NA>
44310000031000000042018000120180709<NA>3폐업2폐업20180725<NA><NA>20180725<NA>0.0<NA>서울특별시 노원구 공릉동 411-26번지서울특별시 노원구 공릉로 168, 1층 (공릉동)1818대영유통2018-07-25 16:25:39I2018-08-31 23:59:59.0식육가공업206999.128357458076.020376축산물가공업식육가공업<NA>000<NA>