Overview

Dataset statistics

Number of variables22
Number of observations3312
Missing cells16332
Missing cells (%)22.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory595.3 KiB
Average record size in memory184.0 B

Variable types

Categorical7
DateTime4
Text4
Unsupported1
Numeric6

Dataset

Description축산가공업 현황_인허가
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=AFJSKJ0F70VS1BCBMKSN28837960&infSeq=1

Alerts

축산업무구분명 has constant value ""Constant
축산물가공업구분명 is highly imbalanced (60.4%)Imbalance
인허가취소일자 has 3312 (100.0%) missing valuesMissing
폐업일자 has 1796 (54.2%) missing valuesMissing
휴업시작일자 has 3155 (95.3%) missing valuesMissing
휴업종료일자 has 3156 (95.3%) missing valuesMissing
재개업일자 has 3305 (99.8%) missing valuesMissing
소재지시설전화번호 has 1083 (32.7%) missing valuesMissing
소재지면적정보 has 59 (1.8%) missing valuesMissing
소재지도로명주소 has 140 (4.2%) missing valuesMissing
소재지우편번호 has 103 (3.1%) missing valuesMissing
위도 has 107 (3.2%) missing valuesMissing
경도 has 107 (3.2%) missing valuesMissing
소재지면적정보 is highly skewed (γ1 = 43.77093955)Skewed
총종업원수 is highly skewed (γ1 = 38.64306393)Skewed
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 has 175 (5.3%) zerosZeros
총종업원수 has 434 (13.1%) zerosZeros

Reproduction

Analysis started2023-12-10 21:52:45.138394
Analysis finished2023-12-10 21:52:46.092318
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct32
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
광주시
296 
화성시
253 
남양주시
227 
안산시
 
185
용인시
 
176
Other values (27)
2175 

Length

Max length4
Median length3
Mean length3.1111111
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주시 296
 
8.9%
화성시 253
 
7.6%
남양주시 227
 
6.9%
안산시 185
 
5.6%
용인시 176
 
5.3%
고양시 175
 
5.3%
성남시 169
 
5.1%
파주시 163
 
4.9%
포천시 162
 
4.9%
하남시 150
 
4.5%
Other values (22) 1356
40.9%

Length

2023-12-11T06:52:46.145587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
광주시 296
 
8.9%
화성시 253
 
7.6%
남양주시 227
 
6.9%
안산시 185
 
5.6%
용인시 176
 
5.3%
고양시 175
 
5.3%
성남시 169
 
5.1%
파주시 163
 
4.9%
포천시 162
 
4.9%
하남시 150
 
4.5%
Other values (22) 1356
40.9%

인허가일자
Date

Distinct2178
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
Minimum1976-06-28 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:52:46.241919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:46.355781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업장명
Text

Distinct3122
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
2023-12-11T06:52:46.675009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length7.9794686
Min length2

Characters and Unicode

Total characters26428
Distinct characters692
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2952 ?
Unique (%)89.1%

Sample

1st row(주)산과들 농업회사법인
2nd row가평 다하랑
3rd row가평축산업협동조합유통사업본부
4th row농업회사법인 지에이치내츄럴(주)
5th row명품란
ValueCountFrequency (%)
주식회사 861
 
18.4%
농업회사법인 169
 
3.6%
제2공장 16
 
0.3%
영농조합법인 11
 
0.2%
food 10
 
0.2%
주 10
 
0.2%
푸드 9
 
0.2%
유한회사 9
 
0.2%
그린푸드 5
 
0.1%
제1공장 5
 
0.1%
Other values (3236) 3586
76.4%
2023-12-11T06:52:47.182923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2012
 
7.6%
1382
 
5.2%
식 1310
 
5.0%
사 1182
 
4.5%
( 1155
 
4.4%
) 1155
 
4.4%
회 1115
 
4.2%
드 1019
 
3.9%
푸 963
 
3.6%
에 535
 
2.0%
Other values (682) 14600
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22125
83.7%
Space Separator 1382
 
5.2%
Open Punctuation 1155
 
4.4%
Close Punctuation 1155
 
4.4%
Uppercase Letter 358
 
1.4%
Decimal Number 91
 
0.3%
Lowercase Letter 91
 
0.3%
Other Punctuation 65
 
0.2%
Dash Punctuation 3
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2012
 
9.1%
식 1310
 
5.9%
사 1182
 
5.3%
회 1115
 
5.0%
드 1019
 
4.6%
푸 963
 
4.4%
에 535
 
2.4%
스 487
 
2.2%
이 481
 
2.2%
품 420
 
1.9%
Other values (614) 12601
57.0%
Uppercase Letter
ValueCountFrequency (%)
F 70
19.6%
S 51
14.2%
B 31
 
8.7%
D 26
 
7.3%
C 26
 
7.3%
O 24
 
6.7%
K 15
 
4.2%
I 12
 
3.4%
G 12
 
3.4%
J 11
 
3.1%
Other values (15) 80
22.3%
Lowercase Letter
ValueCountFrequency (%)
e 12
13.2%
o 12
13.2%
a 9
9.9%
m 8
8.8%
l 6
 
6.6%
n 6
 
6.6%
d 5
 
5.5%
t 5
 
5.5%
i 5
 
5.5%
y 4
 
4.4%
Other values (10) 19
20.9%
Decimal Number
ValueCountFrequency (%)
2 36
39.6%
1 24
26.4%
3 13
 
14.3%
0 3
 
3.3%
9 3
 
3.3%
4 3
 
3.3%
7 3
 
3.3%
5 3
 
3.3%
8 2
 
2.2%
6 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
& 42
64.6%
. 16
 
24.6%
, 3
 
4.6%
· 1
 
1.5%
' 1
 
1.5%
/ 1
 
1.5%
？ 1
 
1.5%
Space Separator
ValueCountFrequency (%)
1382
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1155
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22122
83.7%
Common 3852
 
14.6%
Latin 449
 
1.7%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2012
 
9.1%
식 1310
 
5.9%
사 1182
 
5.3%
회 1115
 
5.0%
드 1019
 
4.6%
푸 963
 
4.4%
에 535
 
2.4%
스 487
 
2.2%
이 481
 
2.2%
품 420
 
1.9%
Other values (611) 12598
56.9%
Latin
ValueCountFrequency (%)
F 70
15.6%
S 51
 
11.4%
B 31
 
6.9%
D 26
 
5.8%
C 26
 
5.8%
O 24
 
5.3%
K 15
 
3.3%
I 12
 
2.7%
e 12
 
2.7%
G 12
 
2.7%
Other values (35) 170
37.9%
Common
ValueCountFrequency (%)
1382
35.9%
( 1155
30.0%
) 1155
30.0%
& 42
 
1.1%
2 36
 
0.9%
1 24
 
0.6%
. 16
 
0.4%
3 13
 
0.3%
0 3
 
0.1%
- 3
 
0.1%
Other values (12) 23
 
0.6%
Han
ValueCountFrequency (%)
哈 2
40.0%
脹 1
20.0%
紅 1
20.0%
家 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22120
83.7%
ASCII 4299
 
16.3%
CJK 5
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2012
 
9.1%
식 1310
 
5.9%
사 1182
 
5.3%
회 1115
 
5.0%
드 1019
 
4.6%
푸 963
 
4.4%
에 535
 
2.4%
스 487
 
2.2%
이 481
 
2.2%
품 420
 
1.9%
Other values (610) 12596
56.9%
ASCII
ValueCountFrequency (%)
1382
32.1%
( 1155
26.9%
) 1155
26.9%
F 70
 
1.6%
S 51
 
1.2%
& 42
 
1.0%
2 36
 
0.8%
B 31
 
0.7%
D 26
 
0.6%
C 26
 
0.6%
Other values (55) 325
 
7.6%
CJK
ValueCountFrequency (%)
哈 2
40.0%
脹 1
20.0%
紅 1
20.0%
家 1
20.0%
None
ValueCountFrequency (%)
㈜ 2
50.0%
· 1
25.0%
？ 1
25.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3312
Missing (%)100.0%
Memory size29.2 KiB

통합영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
영업/정상
1713 
폐업
1516 
휴업
 
80
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length5
Mean length3.5625
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1713
51.7%
폐업 1516
45.8%
휴업 80
 
2.4%
취소/말소/만료/정지/중지 3
 
0.1%

Length

2023-12-11T06:52:47.305596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:52:47.409064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1713
51.7%
폐업 1516
45.8%
휴업 80
 
2.4%
취소/말소/만료/정지/중지 3
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
정상
1713 
폐업
1516 
휴업
 
80
말소
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 1713
51.7%
폐업 1516
45.8%
휴업 80
 
2.4%
말소 3
 
0.1%

Length

2023-12-11T06:52:47.498084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:52:47.579512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 1713
51.7%
폐업 1516
45.8%
휴업 80
 
2.4%
말소 3
 
0.1%

폐업일자
Date

MISSING 

Distinct1014
Distinct (%)66.9%
Missing1796
Missing (%)54.2%
Memory size26.0 KiB
Minimum2003-07-03 00:00:00
Maximum2023-12-04 00:00:00
2023-12-11T06:52:47.696660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:47.821877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct152
Distinct (%)96.8%
Missing3155
Missing (%)95.3%
Memory size26.0 KiB
Minimum2005-05-04 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:52:47.939821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:48.052286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct141
Distinct (%)90.4%
Missing3156
Missing (%)95.3%
Memory size26.0 KiB
Minimum2006-04-30 00:00:00
Maximum2082-12-08 00:00:00
2023-12-11T06:52:48.187914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:52:48.332552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing3305
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean20174963
Minimum20040824
Maximum20220527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2023-12-11T06:52:48.444853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040824
5-th percentile20079676
Q120175366
median20200923
Q320205866
95-th percentile20217524
Maximum20220527
Range179703
Interquartile range (IQR)30500

Descriptive statistics

Standard deviation61573.199
Coefficient of variation (CV)0.003051961
Kurtosis5.3332897
Mean20174963
Median Absolute Deviation (MAD)19604
Skewness-2.2373618
Sum1.4122474 × 108
Variance3.7912588 × 109
MonotonicityNot monotonic
2023-12-11T06:52:48.542911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20200923 1
 
< 0.1%
20201215 1
 
< 0.1%
20220527 1
 
< 0.1%
20040824 1
 
< 0.1%
20170331 1
 
< 0.1%
20210517 1
 
< 0.1%
20180401 1
 
< 0.1%
(Missing) 3305
99.8%
ValueCountFrequency (%)
20040824 1
< 0.1%
20170331 1
< 0.1%
20180401 1
< 0.1%
20200923 1
< 0.1%
20201215 1
< 0.1%
20210517 1
< 0.1%
20220527 1
< 0.1%
ValueCountFrequency (%)
20220527 1
< 0.1%
20210517 1
< 0.1%
20201215 1
< 0.1%
20200923 1
< 0.1%
20180401 1
< 0.1%
20170331 1
< 0.1%
20040824 1
< 0.1%

소재지시설전화번호
Text

MISSING 

Distinct2063
Distinct (%)92.6%
Missing1083
Missing (%)32.7%
Memory size26.0 KiB
2023-12-11T06:52:48.787872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.044415
Min length8

Characters and Unicode

Total characters22389
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

Unique1916 ?
Unique (%)86.0%

Sample

1st row0315829300
2nd row0315840111
3rd row0315811592
4th row0315858046
5th row0315849895
ValueCountFrequency (%)
0312815751 4
 
0.2%
0317450080 4
 
0.2%
0314212128 4
 
0.2%
0319750849 3
 
0.1%
0313517863 3
 
0.1%
0317926303 3
 
0.1%
0316922270 3
 
0.1%
0314510506 3
 
0.1%
0318478535 3
 
0.1%
0313510221 3
 
0.1%
Other values (2053) 2196
98.5%
2023-12-11T06:52:49.176107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 3679
16.4%
0 3676
16.4%
1 3365
15.0%
7 1831
8.2%
2 1815
8.1%
5 1788
8.0%
6 1672
7.5%
9 1576
7.0%
8 1552
6.9%
4 1430
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22384
> 99.9%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 3679
16.4%
0 3676
16.4%
1 3365
15.0%
7 1831
8.2%
2 1815
8.1%
5 1788
8.0%
6 1672
7.5%
9 1576
7.0%
8 1552
6.9%
4 1430
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22389
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 3679
16.4%
0 3676
16.4%
1 3365
15.0%
7 1831
8.2%
2 1815
8.1%
5 1788
8.0%
6 1672
7.5%
9 1576
7.0%
8 1552
6.9%
4 1430
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22389
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 3679
16.4%
0 3676
16.4%
1 3365
15.0%
7 1831
8.2%
2 1815
8.1%
5 1788
8.0%
6 1672
7.5%
9 1576
7.0%
8 1552
6.9%
4 1430
 
6.4%

소재지면적정보
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2684
Distinct (%)82.5%
Missing59
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean988.25306
Minimum0
Maximum583067
Zeros175
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2023-12-11T06:52:49.303094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1135.3
median233
Q3487
95-th percentile2250.78
Maximum583067
Range583067
Interquartile range (IQR)351.7

Descriptive statistics

Standard deviation11321.28
Coefficient of variation (CV)11.455851
Kurtosis2174.5098
Mean988.25306
Median Absolute Deviation (MAD)133.8
Skewness43.77094
Sum3214787.2
Variance1.2817138 × 108
MonotonicityNot monotonic
2023-12-11T06:52:49.420529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 175
 
5.3%
198.0 45
 
1.4%
195.0 9
 
0.3%
196.0 9
 
0.3%
180.0 8
 
0.2%
192.0 8
 
0.2%
99.0 7
 
0.2%
300.0 7
 
0.2%
264.0 7
 
0.2%
396.0 6
 
0.2%
Other values (2674) 2972
89.7%
(Missing) 59
 
1.8%
ValueCountFrequency (%)
0.0 175
5.3%
1.0 1
 
< 0.1%
15.26 1
 
< 0.1%
17.69 1
 
< 0.1%
18.0 1
 
< 0.1%
19.9 1
 
< 0.1%
19.95 1
 
< 0.1%
20.65 1
 
< 0.1%
21.0 1
 
< 0.1%
21.9 1
 
< 0.1%
ValueCountFrequency (%)
583067.0 1
< 0.1%
166387.0 1
< 0.1%
147395.0 1
< 0.1%
94040.0 1
< 0.1%
68452.44 1
< 0.1%
48187.7 1
< 0.1%
46515.0 1
< 0.1%
45294.37 1
< 0.1%
32274.35 1
< 0.1%
30267.0 1
< 0.1%

소재지도로명주소
Text

MISSING 

Distinct2940
Distinct (%)92.7%
Missing140
Missing (%)4.2%
Memory size26.0 KiB
2023-12-11T06:52:49.713299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length53
Mean length26.671185
Min length14

Characters and Unicode

Total characters84601
Distinct characters485
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2735 ?
Unique (%)86.2%

Sample

1st row경기도 가평군 가평읍 태봉두밀로 6
2nd row경기도 가평군 설악면 유명로 1596
3rd row경기도 가평군 가평읍 달전로 19
4th row경기도 가평군 상면 물골길 441-50
5th row경기도 가평군 상면 물골길 425-7
ValueCountFrequency (%)
경기도 3170
 
17.8%
광주시 295
 
1.7%
화성시 250
 
1.4%
남양주시 225
 
1.3%
안산시 185
 
1.0%
용인시 172
 
1.0%
고양시 169
 
0.9%
성남시 163
 
0.9%
파주시 161
 
0.9%
포천시 156
 
0.9%
Other values (4440) 12851
72.2%
2023-12-11T06:52:50.174136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14625
 
17.3%
1 3344
 
4.0%
도 3337
 
3.9%
기 3327
 
3.9%
시 3324
 
3.9%
경 3254
 
3.8%
로 2552
 
3.0%
동 2490
 
2.9%
2 2077
 
2.5%
길 1977
 
2.3%
Other values (475) 44294
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49090
58.0%
Decimal Number 14665
 
17.3%
Space Separator 14625
 
17.3%
Close Punctuation 1901
 
2.2%
Open Punctuation 1899
 
2.2%
Dash Punctuation 1187
 
1.4%
Other Punctuation 971
 
1.1%
Uppercase Letter 219
 
0.3%
Lowercase Letter 25
 
< 0.1%
Math Symbol 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 3337
 
6.8%
기 3327
 
6.8%
시 3324
 
6.8%
경 3254
 
6.6%
로 2552
 
5.2%
동 2490
 
5.1%
길 1977
 
4.0%
번 1294
 
2.6%
구 1081
 
2.2%
주 895
 
1.8%
Other values (427) 25559
52.1%
Uppercase Letter
ValueCountFrequency (%)
B 73
33.3%
A 28
 
12.8%
K 22
 
10.0%
S 19
 
8.7%
C 13
 
5.9%
E 10
 
4.6%
D 10
 
4.6%
T 10
 
4.6%
R 6
 
2.7%
U 5
 
2.3%
Other values (10) 23
 
10.5%
Decimal Number
ValueCountFrequency (%)
1 3344
22.8%
2 2077
14.2%
3 1580
10.8%
4 1370
9.3%
5 1243
 
8.5%
6 1137
 
7.8%
0 1053
 
7.2%
7 998
 
6.8%
9 938
 
6.4%
8 925
 
6.3%
Lowercase Letter
ValueCountFrequency (%)
n 9
36.0%
e 4
16.0%
r 3
 
12.0%
t 3
 
12.0%
w 2
 
8.0%
o 2
 
8.0%
b 1
 
4.0%
c 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 965
99.4%
. 5
 
0.5%
· 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅲ 1
33.3%
Space Separator
ValueCountFrequency (%)
14625
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1901
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1899
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1187
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49090
58.0%
Common 35264
41.7%
Latin 247
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 3337
 
6.8%
기 3327
 
6.8%
시 3324
 
6.8%
경 3254
 
6.6%
로 2552
 
5.2%
동 2490
 
5.1%
길 1977
 
4.0%
번 1294
 
2.6%
구 1081
 
2.2%
주 895
 
1.8%
Other values (427) 25559
52.1%
Latin
ValueCountFrequency (%)
B 73
29.6%
A 28
 
11.3%
K 22
 
8.9%
S 19
 
7.7%
C 13
 
5.3%
E 10
 
4.0%
D 10
 
4.0%
T 10
 
4.0%
n 9
 
3.6%
R 6
 
2.4%
Other values (20) 47
19.0%
Common
ValueCountFrequency (%)
14625
41.5%
1 3344
 
9.5%
2 2077
 
5.9%
) 1901
 
5.4%
( 1899
 
5.4%
3 1580
 
4.5%
4 1370
 
3.9%
5 1243
 
3.5%
- 1187
 
3.4%
6 1137
 
3.2%
Other values (8) 4901
 
13.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49090
58.0%
ASCII 35507
42.0%
Number Forms 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14625
41.2%
1 3344
 
9.4%
2 2077
 
5.8%
) 1901
 
5.4%
( 1899
 
5.3%
3 1580
 
4.4%
4 1370
 
3.9%
5 1243
 
3.5%
- 1187
 
3.3%
6 1137
 
3.2%
Other values (35) 5144
 
14.5%
Hangul
ValueCountFrequency (%)
도 3337
 
6.8%
기 3327
 
6.8%
시 3324
 
6.8%
경 3254
 
6.6%
로 2552
 
5.2%
동 2490
 
5.1%
길 1977
 
4.0%
번 1294
 
2.6%
구 1081
 
2.2%
주 895
 
1.8%
Other values (427) 25559
52.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅲ 1
33.3%
None
ValueCountFrequency (%)
· 1
100.0%

소재지지번주소
Text

Distinct3068
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
2023-12-11T06:52:50.456242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length53
Mean length24.975242
Min length1

Characters and Unicode

Total characters82718
Distinct characters408
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2861 ?
Unique (%)86.4%

Sample

1st row경기도 가평군 가평읍 상색리 98번지 1호
2nd row경기도 가평군 설악면 신천리 669번지 17호
3rd row경기도 가평군 가평읍 달전리 382번지 1호
4th row경기도 가평군 상면 봉수리 128번지 0호
5th row경기도 가평군 상면 봉수리 71번지 6호
ValueCountFrequency (%)
경기도 3093
 
16.8%
1호 491
 
2.7%
2호 330
 
1.8%
0호 295
 
1.6%
광주시 277
 
1.5%
화성시 246
 
1.3%
남양주시 227
 
1.2%
3호 217
 
1.2%
안산시 185
 
1.0%
고양시 173
 
0.9%
Other values (2870) 12903
70.0%
2023-12-11T06:52:50.912808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20149
24.4%
지 3447
 
4.2%
도 3224
 
3.9%
시 3217
 
3.9%
기 3176
 
3.8%
번 3154
 
3.8%
경 3103
 
3.8%
호 2916
 
3.5%
1 2845
 
3.4%
동 2248
 
2.7%
Other values (398) 35239
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47086
56.9%
Space Separator 20149
24.4%
Decimal Number 14702
 
17.8%
Dash Punctuation 362
 
0.4%
Uppercase Letter 204
 
0.2%
Other Punctuation 89
 
0.1%
Close Punctuation 43
 
0.1%
Open Punctuation 41
 
< 0.1%
Lowercase Letter 24
 
< 0.1%
Math Symbol 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3447
 
7.3%
도 3224
 
6.8%
시 3217
 
6.8%
기 3176
 
6.7%
번 3154
 
6.7%
경 3103
 
6.6%
호 2916
 
6.2%
동 2248
 
4.8%
리 1546
 
3.3%
구 936
 
2.0%
Other values (349) 20119
42.7%
Uppercase Letter
ValueCountFrequency (%)
B 70
34.3%
K 22
 
10.8%
A 21
 
10.3%
S 19
 
9.3%
C 11
 
5.4%
T 10
 
4.9%
D 9
 
4.4%
E 8
 
3.9%
R 6
 
2.9%
U 5
 
2.5%
Other values (10) 23
 
11.3%
Decimal Number
ValueCountFrequency (%)
1 2845
19.4%
2 2014
13.7%
3 1716
11.7%
4 1438
9.8%
0 1355
9.2%
5 1354
9.2%
6 1139
7.7%
7 1044
 
7.1%
8 958
 
6.5%
9 839
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
n 9
37.5%
e 4
16.7%
r 3
 
12.5%
t 3
 
12.5%
w 2
 
8.3%
o 2
 
8.3%
c 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 86
96.6%
/ 1
 
1.1%
. 1
 
1.1%
· 1
 
1.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
50.0%
Ⅱ 1
25.0%
Ⅲ 1
25.0%
Space Separator
ValueCountFrequency (%)
20149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 362
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47086
56.9%
Common 35400
42.8%
Latin 232
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3447
 
7.3%
도 3224
 
6.8%
시 3217
 
6.8%
기 3176
 
6.7%
번 3154
 
6.7%
경 3103
 
6.6%
호 2916
 
6.2%
동 2248
 
4.8%
리 1546
 
3.3%
구 936
 
2.0%
Other values (349) 20119
42.7%
Latin
ValueCountFrequency (%)
B 70
30.2%
K 22
 
9.5%
A 21
 
9.1%
S 19
 
8.2%
C 11
 
4.7%
T 10
 
4.3%
n 9
 
3.9%
D 9
 
3.9%
E 8
 
3.4%
R 6
 
2.6%
Other values (20) 47
20.3%
Common
ValueCountFrequency (%)
20149
56.9%
1 2845
 
8.0%
2 2014
 
5.7%
3 1716
 
4.8%
4 1438
 
4.1%
0 1355
 
3.8%
5 1354
 
3.8%
6 1139
 
3.2%
7 1044
 
2.9%
8 958
 
2.7%
Other values (9) 1388
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47086
56.9%
ASCII 35627
43.1%
Number Forms 4
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20149
56.6%
1 2845
 
8.0%
2 2014
 
5.7%
3 1716
 
4.8%
4 1438
 
4.0%
0 1355
 
3.8%
5 1354
 
3.8%
6 1139
 
3.2%
7 1044
 
2.9%
8 958
 
2.7%
Other values (35) 1615
 
4.5%
Hangul
ValueCountFrequency (%)
지 3447
 
7.3%
도 3224
 
6.8%
시 3217
 
6.8%
기 3176
 
6.7%
번 3154
 
6.7%
경 3103
 
6.6%
호 2916
 
6.2%
동 2248
 
4.8%
리 1546
 
3.3%
구 936
 
2.0%
Other values (349) 20119
42.7%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
50.0%
Ⅱ 1
25.0%
Ⅲ 1
25.0%
None
ValueCountFrequency (%)
· 1
100.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct1315
Distinct (%)41.0%
Missing103
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean13885.066
Minimum4788
Maximum18633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2023-12-11T06:52:51.249704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4788
5-th percentile10250
Q111703
median13024
Q316245
95-th percentile18363
Maximum18633
Range13845
Interquartile range (IQR)4542

Descriptive statistics

Standard deviation2644.961
Coefficient of variation (CV)0.19048963
Kurtosis-1.1252938
Mean13885.066
Median Absolute Deviation (MAD)1974
Skewness0.32165149
Sum44557176
Variance6995818.8
MonotonicityNot monotonic
2023-12-11T06:52:51.366358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13207 29
 
0.9%
13201 26
 
0.8%
12021 25
 
0.8%
12986 24
 
0.7%
11905 22
 
0.7%
15047 22
 
0.7%
12728 19
 
0.6%
12774 19
 
0.6%
12798 17
 
0.5%
11906 16
 
0.5%
Other values (1305) 2990
90.3%
(Missing) 103
 
3.1%
ValueCountFrequency (%)
4788 1
 
< 0.1%
5807 1
 
< 0.1%
10003 1
 
< 0.1%
10008 1
 
< 0.1%
10009 3
0.1%
10010 3
0.1%
10011 4
0.1%
10012 4
0.1%
10013 4
0.1%
10014 5
0.2%
ValueCountFrequency (%)
18633 3
 
0.1%
18632 2
 
0.1%
18631 1
 
< 0.1%
18627 2
 
0.1%
18626 2
 
0.1%
18624 8
0.2%
18623 1
 
< 0.1%
18614 1
 
< 0.1%
18608 2
 
0.1%
18606 1
 
< 0.1%

위도
Real number (ℝ)

MISSING 

Distinct2893
Distinct (%)90.3%
Missing107
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean37.469499
Minimum36.921969
Maximum38.139887
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2023-12-11T06:52:51.489537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.921969
5-th percentile37.072613
Q137.298096
median37.433412
Q337.682835
95-th percentile37.851621
Maximum38.139887
Range1.2179183
Interquartile range (IQR)0.38473962

Descriptive statistics

Standard deviation0.24323575
Coefficient of variation (CV)0.0064915666
Kurtosis-0.74772381
Mean37.469499
Median Absolute Deviation (MAD)0.1937744
Skewness0.10962974
Sum120089.74
Variance0.059163628
MonotonicityNot monotonic
2023-12-11T06:52:51.614632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4383609 9
 
0.3%
37.6498025 8
 
0.2%
37.4404884338 7
 
0.2%
37.5229208 6
 
0.2%
37.4402517 5
 
0.2%
37.4303629 4
 
0.1%
37.0700122 4
 
0.1%
37.2507124 4
 
0.1%
37.635334 4
 
0.1%
37.7254741937 4
 
0.1%
Other values (2883) 3150
95.1%
(Missing) 107
 
3.2%
ValueCountFrequency (%)
36.9219690535 1
< 0.1%
36.9332765641 1
< 0.1%
36.9428848693 1
< 0.1%
36.9493547378 1
< 0.1%
36.949498937 1
< 0.1%
36.9523591039 2
0.1%
36.9534042452 1
< 0.1%
36.9535547 2
0.1%
36.9558294 1
< 0.1%
36.9563185772 1
< 0.1%
ValueCountFrequency (%)
38.1398873332 1
< 0.1%
38.1113896 1
< 0.1%
38.0912209 1
< 0.1%
38.0872833 1
< 0.1%
38.0861328619 1
< 0.1%
38.0758628 1
< 0.1%
38.0642077999 1
< 0.1%
38.0641778 1
< 0.1%
38.0638882 2
0.1%
38.058401 1
< 0.1%

경도
Real number (ℝ)

MISSING 

Distinct2893
Distinct (%)90.3%
Missing107
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean127.04166
Minimum126.54527
Maximum127.73374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2023-12-11T06:52:51.737859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54527
5-th percentile126.71552
Q1126.8459
median127.06043
Q3127.20601
95-th percentile127.38741
Maximum127.73374
Range1.1884629
Interquartile range (IQR)0.36010903

Descriptive statistics

Standard deviation0.21969599
Coefficient of variation (CV)0.0017293225
Kurtosis-0.71468177
Mean127.04166
Median Absolute Deviation (MAD)0.17046659
Skewness0.053592342
Sum407168.51
Variance0.04826633
MonotonicityNot monotonic
2023-12-11T06:52:51.858050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1778436 9
 
0.3%
126.7936803 8
 
0.2%
127.1735598142 7
 
0.2%
126.7666595 6
 
0.2%
127.1725936 5
 
0.2%
127.1759269 4
 
0.1%
126.855386 4
 
0.1%
127.1465251 4
 
0.1%
127.1370318 4
 
0.1%
126.8407819733 4
 
0.1%
Other values (2883) 3150
95.1%
(Missing) 107
 
3.2%
ValueCountFrequency (%)
126.5452733136 1
< 0.1%
126.5480308081 1
< 0.1%
126.550972732 1
< 0.1%
126.5524443628 2
0.1%
126.5526735891 1
< 0.1%
126.5528992936 1
< 0.1%
126.5532335 2
0.1%
126.5532718018 1
< 0.1%
126.5534964268 1
< 0.1%
126.557614 1
< 0.1%
ValueCountFrequency (%)
127.7337362 1
< 0.1%
127.7152420294 1
< 0.1%
127.6651847 1
< 0.1%
127.6623676029 1
< 0.1%
127.6593692992 2
0.1%
127.6490790636 1
< 0.1%
127.6458095482 1
< 0.1%
127.6348004 1
< 0.1%
127.6337746972 1
< 0.1%
127.6302185 1
< 0.1%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
축산물가공업
3312 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물가공업 3312
100.0%

Length

2023-12-11T06:52:51.960565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:52:52.040731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물가공업 3312
100.0%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
식육가공업
2932 
유가공업
 
214
알가공업
 
166

Length

Max length5
Median length5
Mean length4.8852657
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 2932
88.5%
유가공업 214
 
6.5%
알가공업 166
 
5.0%

Length

2023-12-11T06:52:52.136341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:52:52.228384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 2932
88.5%
유가공업 214
 
6.5%
알가공업 166
 
5.0%

축산고유번호
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
<NA>
2046 
0
1266 

Length

Max length4
Median length4
Mean length2.8532609
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2046
61.8%
0 1266
38.2%

Length

2023-12-11T06:52:52.316527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:52:52.398946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2046
61.8%
0 1266
38.2%

권리주체고유번호
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
L00
2039 
000
1273 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
L00 2039
61.6%
000 1273
38.4%

Length

2023-12-11T06:52:52.514292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:52:52.637558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
l00 2039
61.6%
000 1273
38.4%

총종업원수
Real number (ℝ)

SKEWED  ZEROS 

Distinct117
Distinct (%)3.5%
Missing9
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean15.060551
Minimum0
Maximum6980
Zeros434
Zeros (%)13.1%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2023-12-11T06:52:52.736807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q39
95-th percentile36
Maximum6980
Range6980
Interquartile range (IQR)7

Descriptive statistics

Standard deviation174.48114
Coefficient of variation (CV)11.585309
Kurtosis1538.1403
Mean15.060551
Median Absolute Deviation (MAD)3
Skewness38.643064
Sum49745
Variance30443.67
MonotonicityNot monotonic
2023-12-11T06:52:52.860372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 434
13.1%
2 381
11.5%
3 346
10.4%
4 316
9.5%
5 280
 
8.5%
1 223
 
6.7%
6 153
 
4.6%
7 146
 
4.4%
8 121
 
3.7%
10 114
 
3.4%
Other values (107) 789
23.8%
ValueCountFrequency (%)
0 434
13.1%
1 223
6.7%
2 381
11.5%
3 346
10.4%
4 316
9.5%
5 280
8.5%
6 153
 
4.6%
7 146
 
4.4%
8 121
 
3.7%
9 85
 
2.6%
ValueCountFrequency (%)
6980 2
0.1%
1067 1
< 0.1%
431 1
< 0.1%
400 1
< 0.1%
340 1
< 0.1%
339 1
< 0.1%
332 1
< 0.1%
287 2
0.1%
283 1
< 0.1%
282 1
< 0.1%

Sample

시군명인허가일자사업장명인허가취소일자통합영업상태명영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지시설전화번호소재지면적정보소재지도로명주소소재지지번주소소재지우편번호위도경도축산업무구분명축산물가공업구분명축산고유번호권리주체고유번호총종업원수
0가평군2018-06-18(주)산과들 농업회사법인<NA>영업/정상정상<NA><NA><NA><NA>0315829300235.45경기도 가평군 가평읍 태봉두밀로 6경기도 가평군 가평읍 상색리 98번지 1호1242637.802839127.485369축산물가공업식육가공업0L009
1가평군20220913가평 다하랑<NA>영업/정상정상<NA><NA><NA><NA>031584011174.9경기도 가평군 설악면 유명로 1596경기도 가평군 설악면 신천리 669번지 17호1246737.672507127.488388축산물가공업식육가공업00004
2가평군2016-07-28가평축산업협동조합유통사업본부<NA>영업/정상정상<NA><NA><NA><NA>0315811592193.1경기도 가평군 가평읍 달전로 19경기도 가평군 가평읍 달전리 382번지 1호1242237.816034127.516349축산물가공업식육가공업0L000
3가평군2023-02-20농업회사법인 지에이치내츄럴(주)<NA>영업/정상정상<NA><NA><NA><NA>0315858046932.67경기도 가평군 상면 물골길 441-50경기도 가평군 상면 봉수리 128번지 0호1244037.853233127.289138축산물가공업식육가공업0L0012
4가평군20060928명품란<NA>영업/정상정상<NA><NA><NA><NA>0315849895249.69경기도 가평군 상면 물골길 425-7경기도 가평군 상면 봉수리 71번지 6호1244037.851473127.292233축산물가공업알가공업<NA>0004
5가평군2021-05-27솔몬코리아(주)<NA>폐업폐업2023-04-13<NA><NA><NA><NA>98.4경기도 가평군 설악면 신천중앙로28번길 3-45경기도 가평군 설악면 신천리 355번지 0호1246737.670659127.492471축산물가공업식육가공업0L003
6가평군20150205자연유통<NA>영업/정상정상<NA><NA><NA><NA>0315819571233.5경기도 가평군 보납로18번길 24경기도 가평군 가평읍 읍내리 481번지 1호1241837.828849127.513049축산물가공업식육가공업<NA>0009
7가평군2018-10-24주식회사 미가<NA>영업/정상정상<NA><NA><NA><NA><NA>496.8경기도 가평군 청평면 남이터길 45경기도 가평군 청평면 대성리 428번지 31호1245737.688606127.370303축산물가공업식육가공업0L0014
8가평군2022-10-31주식회사 서락에프엔비<NA>휴업휴업<NA>2023-02-01<NA><NA><NA>163.31경기도 가평군 설악면 한갑골길 28경기도 가평군 설악면 선촌리 381번지 0호1246637.675895127.483942축산물가공업식육가공업0L002
9가평군20230105주식회사 케이비푸드<NA>영업/정상정상<NA><NA><NA><NA>0315851537484.58경기도 가평군 상면 청군로 1950경기도 가평군 상면 율길리 114번지 0호1244137.830311127.299409축산물가공업식육가공업0L007
시군명인허가일자사업장명인허가취소일자통합영업상태명영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지시설전화번호소재지면적정보소재지도로명주소소재지지번주소소재지우편번호위도경도축산업무구분명축산물가공업구분명축산고유번호권리주체고유번호총종업원수
3302<NA>20090616주식회사 오래식품<NA>폐업폐업20150921<NA><NA><NA>0317612733903.67<NA>103번지<NA><NA><NA>축산물가공업유가공업<NA>L0026
3303<NA>20090616주식회사 오래식품<NA>폐업폐업20120420<NA><NA><NA>0317612733863.71<NA>103번지<NA><NA><NA>축산물가공업알가공업<NA>L0029
3304<NA>20100920주식회사 푸드넬<NA>폐업폐업20161130<NA><NA><NA>0319460003197.1<NA>22번지<NA><NA><NA>축산물가공업식육가공업<NA>L0024
3305<NA>20051027짱포크<NA>폐업폐업20070202<NA><NA><NA>0326554680283.4<NA>243-32<NA><NA><NA>축산물가공업식육가공업<NA>0003
3306<NA>20090116참진오리<NA>폐업폐업20120207<NA><NA><NA>0319465242198.0<NA>197번지 8호<NA><NA><NA>축산물가공업식육가공업<NA>0007
3307<NA>20030806티에프유통<NA>폐업폐업20061020<NA><NA><NA>03234401840.0<NA>2-44번지<NA><NA><NA>축산물가공업식육가공업<NA>0004
3308<NA>2005-07-29푸드엘<NA>폐업폐업2023-08-23<NA><NA><NA><NA>0.0<NA>370-9번지 부광B/D<NA><NA><NA>축산물가공업식육가공업00006
3309<NA>20041022한솔유통<NA>폐업폐업20141124<NA><NA><NA>0319899005664.0<NA>1010번지<NA><NA><NA>축산물가공업식육가공업<NA>0001
3310<NA>20021202해남식품<NA>폐업폐업20041206<NA><NA><NA>03266337870.0<NA>573-2번지<NA><NA><NA>축산물가공업식육가공업<NA>0000
3311<NA>20050430훔메유통(주)<NA>폐업폐업20090511<NA><NA><NA>03176429442178.0<NA>522-1번지<NA><NA><NA>축산물가공업식육가공업<NA>L007