Overview

Dataset statistics

Number of variables24
Number of observations3475
Missing cells18697
Missing cells (%)22.4%
Duplicate rows34
Duplicate rows (%)1.0%
Total size in memory678.8 KiB
Average record size in memory200.0 B

Variable types

Categorical10
DateTime5
Text4
Unsupported1
Numeric4

Dataset

Description사료제조업 현황_인허가
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=GWWUUSBHJS2H0SQ5DSI028781638&infSeq=1

Alerts

Dataset has 34 (1.0%) duplicate rowsDuplicates
축산업무구분명 is highly imbalanced (86.9%)Imbalance
권리주체일련번호 is highly imbalanced (58.9%)Imbalance
인허가취소일자 has 3475 (100.0%) missing valuesMissing
폐업일자 has 2653 (76.3%) missing valuesMissing
휴업시작일자 has 3383 (97.4%) missing valuesMissing
휴업종료일자 has 3421 (98.4%) missing valuesMissing
재개업일자 has 3465 (99.7%) missing valuesMissing
소재지시설전화번호 has 1834 (52.8%) missing valuesMissing
소재지도로명주소 has 35 (1.0%) missing valuesMissing
X좌표값 has 189 (5.4%) missing valuesMissing
Y좌표값 has 189 (5.4%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 22:54:38.883196
Analysis finished2023-12-10 22:54:39.981871
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct32
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
고양시
321 
성남시
319 
화성시
305 
용인시
220 
남양주시
 
176
Other values (27)
2134 

Length

Max length4
Median length3
Mean length3.0771223
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용인시
2nd row포천시
3rd row안산시
4th row부천시
5th row성남시

Common Values

ValueCountFrequency (%)
고양시 321
 
9.2%
성남시 319
 
9.2%
화성시 305
 
8.8%
용인시 220
 
6.3%
남양주시 176
 
5.1%
파주시 175
 
5.0%
안성시 167
 
4.8%
수원시 162
 
4.7%
평택시 147
 
4.2%
안산시 146
 
4.2%
Other values (22) 1337
38.5%

Length

2023-12-11T07:54:40.034944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 321
 
9.2%
성남시 319
 
9.2%
화성시 305
 
8.8%
용인시 220
 
6.3%
남양주시 176
 
5.1%
파주시 175
 
5.0%
안성시 167
 
4.8%
수원시 162
 
4.7%
평택시 147
 
4.2%
안산시 146
 
4.2%
Other values (22) 1337
38.5%

인허가일자
Date

Distinct2209
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
Minimum1976-07-14 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T07:54:40.124412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:54:40.227163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업장명
Text

Distinct3009
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
2023-12-11T07:54:40.484422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length7.2469065
Min length1

Characters and Unicode

Total characters25183
Distinct characters756
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

Unique2657 ?
Unique (%)76.5%

Sample

1st row삼보통상
2nd row영광유지(주)
3rd row수원축협사료
4th row나나와허니
5th row(주)유젠글로벌
ValueCountFrequency (%)
주식회사 406
 
9.1%
농업회사법인 48
 
1.1%
수제간식 19
 
0.4%
주 18
 
0.4%
바이오 13
 
0.3%
예랑그린텍 12
 
0.3%
유한회사 11
 
0.2%
코리아 9
 
0.2%
간식 9
 
0.2%
pet 9
 
0.2%
Other values (3247) 3898
87.6%
2023-12-11T07:54:40.877944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1556
 
6.2%
) 1201
 
4.8%
( 1196
 
4.7%
이 1058
 
4.2%
977
 
3.9%
사 667
 
2.6%
회 545
 
2.2%
식 545
 
2.2%
스 517
 
2.1%
오 404
 
1.6%
Other values (746) 16517
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20206
80.2%
Close Punctuation 1203
 
4.8%
Open Punctuation 1198
 
4.8%
Space Separator 977
 
3.9%
Uppercase Letter 751
 
3.0%
Lowercase Letter 606
 
2.4%
Other Symbol 88
 
0.3%
Other Punctuation 62
 
0.2%
Decimal Number 53
 
0.2%
Dash Punctuation 38
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1556
 
7.7%
이 1058
 
5.2%
사 667
 
3.3%
회 545
 
2.7%
식 545
 
2.7%
스 517
 
2.6%
오 404
 
2.0%
리 380
 
1.9%
바 346
 
1.7%
아 343
 
1.7%
Other values (670) 13845
68.5%
Uppercase Letter
ValueCountFrequency (%)
E 69
 
9.2%
O 63
 
8.4%
P 57
 
7.6%
A 54
 
7.2%
T 53
 
7.1%
D 53
 
7.1%
K 35
 
4.7%
S 35
 
4.7%
C 32
 
4.3%
R 30
 
4.0%
Other values (15) 270
36.0%
Lowercase Letter
ValueCountFrequency (%)
e 69
 
11.4%
a 63
 
10.4%
o 61
 
10.1%
t 47
 
7.8%
n 40
 
6.6%
m 33
 
5.4%
i 31
 
5.1%
p 29
 
4.8%
l 27
 
4.5%
c 23
 
3.8%
Other values (15) 183
30.2%
Other Punctuation
ValueCountFrequency (%)
& 21
33.9%
. 19
30.6%
; 9
14.5%
, 4
 
6.5%
' 3
 
4.8%
! 3
 
4.8%
/ 1
 
1.6%
? 1
 
1.6%
: 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 17
32.1%
2 16
30.2%
4 5
 
9.4%
0 4
 
7.5%
3 4
 
7.5%
9 3
 
5.7%
6 2
 
3.8%
7 1
 
1.9%
5 1
 
1.9%
Close Punctuation
ValueCountFrequency (%)
) 1201
99.8%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1196
99.8%
[ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
977
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20291
80.6%
Common 3532
 
14.0%
Latin 1357
 
5.4%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1556
 
7.7%
이 1058
 
5.2%
사 667
 
3.3%
회 545
 
2.7%
식 545
 
2.7%
스 517
 
2.5%
오 404
 
2.0%
리 380
 
1.9%
바 346
 
1.7%
아 343
 
1.7%
Other values (668) 13930
68.7%
Latin
ValueCountFrequency (%)
E 69
 
5.1%
e 69
 
5.1%
O 63
 
4.6%
a 63
 
4.6%
o 61
 
4.5%
P 57
 
4.2%
A 54
 
4.0%
T 53
 
3.9%
D 53
 
3.9%
t 47
 
3.5%
Other values (40) 768
56.6%
Common
ValueCountFrequency (%)
) 1201
34.0%
( 1196
33.9%
977
27.7%
- 38
 
1.1%
& 21
 
0.6%
. 19
 
0.5%
1 17
 
0.5%
2 16
 
0.5%
; 9
 
0.3%
4 5
 
0.1%
Other values (15) 33
 
0.9%
Han
ValueCountFrequency (%)
味 1
33.3%
犬 1
33.3%
善 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20203
80.2%
ASCII 4889
 
19.4%
None 88
 
0.3%
CJK 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1556
 
7.7%
이 1058
 
5.2%
사 667
 
3.3%
회 545
 
2.7%
식 545
 
2.7%
스 517
 
2.6%
오 404
 
2.0%
리 380
 
1.9%
바 346
 
1.7%
아 343
 
1.7%
Other values (667) 13842
68.5%
ASCII
ValueCountFrequency (%)
) 1201
24.6%
( 1196
24.5%
977
20.0%
E 69
 
1.4%
e 69
 
1.4%
O 63
 
1.3%
a 63
 
1.3%
o 61
 
1.2%
P 57
 
1.2%
A 54
 
1.1%
Other values (65) 1079
22.1%
None
ValueCountFrequency (%)
㈜ 88
100.0%
CJK
ValueCountFrequency (%)
味 1
33.3%
犬 1
33.3%
善 1
33.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3475
Missing (%)100.0%
Memory size30.7 KiB

통합영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
영업/정상
2473 
폐업
880 
휴업
 
91
취소/말소/만료/정지/중지
 
31

Length

Max length14
Median length5
Mean length4.2420144
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 2473
71.2%
폐업 880
 
25.3%
휴업 91
 
2.6%
취소/말소/만료/정지/중지 31
 
0.9%

Length

2023-12-11T07:54:40.999358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:54:41.082163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 2473
71.2%
폐업 880
 
25.3%
휴업 91
 
2.6%
취소/말소/만료/정지/중지 31
 
0.9%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
정상
2473 
폐업
880 
휴업
 
91
말소
 
31

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 2473
71.2%
폐업 880
 
25.3%
휴업 91
 
2.6%
말소 31
 
0.9%

Length

2023-12-11T07:54:41.169350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:54:41.253897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 2473
71.2%
폐업 880
 
25.3%
휴업 91
 
2.6%
말소 31
 
0.9%

폐업일자
Date

MISSING 

Distinct642
Distinct (%)78.1%
Missing2653
Missing (%)76.3%
Memory size27.3 KiB
Minimum2006-02-24 00:00:00
Maximum2023-12-20 00:00:00
2023-12-11T07:54:41.341308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:54:41.444249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct78
Distinct (%)84.8%
Missing3383
Missing (%)97.4%
Memory size27.3 KiB
Minimum2005-01-25 00:00:00
Maximum2023-11-02 00:00:00
2023-12-11T07:54:41.559908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:54:41.659888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct48
Distinct (%)88.9%
Missing3421
Missing (%)98.4%
Memory size27.3 KiB
Minimum2009-03-03 00:00:00
Maximum2043-08-30 00:00:00
2023-12-11T07:54:41.971051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:54:42.087366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

재개업일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing3465
Missing (%)99.7%
Memory size27.3 KiB
Minimum2012-05-01 00:00:00
Maximum2023-09-18 00:00:00
2023-12-11T07:54:42.170484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:54:42.253778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

소재지시설전화번호
Text

MISSING 

Distinct1440
Distinct (%)87.8%
Missing1834
Missing (%)52.8%
Memory size27.3 KiB
2023-12-11T07:54:42.459688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length12
Mean length11.48507
Min length7

Characters and Unicode

Total characters18847
Distinct characters28
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1284 ?
Unique (%)78.2%

Sample

1st row031-726-5880
2nd row531-8969
3rd row0312304000
4th row031-713-9438
5th row02-504-8680
ValueCountFrequency (%)
771-6821 7
 
0.4%
03180469500 6
 
0.4%
031-227-0136 5
 
0.3%
031-771-6821 5
 
0.3%
0326833232 5
 
0.3%
031-355-5620 4
 
0.2%
638-3400 4
 
0.2%
031-683-4002 3
 
0.2%
031-534-1663 3
 
0.2%
031-467-6710 3
 
0.2%
Other values (1435) 1602
97.3%
2023-12-11T07:54:42.828800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2893
15.3%
- 2644
14.0%
3 2471
13.1%
1 2254
12.0%
7 1554
8.2%
8 1272
6.7%
2 1249
6.6%
6 1232
6.5%
5 1183
6.3%
4 1117
 
5.9%
Other values (18) 978
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16131
85.6%
Dash Punctuation 2644
 
14.0%
Close Punctuation 29
 
0.2%
Lowercase Letter 10
 
0.1%
Uppercase Letter 8
 
< 0.1%
Math Symbol 7
 
< 0.1%
Other Punctuation 7
 
< 0.1%
Space Separator 6
 
< 0.1%
Open Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2893
17.9%
3 2471
15.3%
1 2254
14.0%
7 1554
9.6%
8 1272
7.9%
2 1249
7.7%
6 1232
7.6%
5 1183
7.3%
4 1117
 
6.9%
9 906
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
f 4
40.0%
o 1
 
10.0%
i 1
 
10.0%
c 1
 
10.0%
e 1
 
10.0%
a 1
 
10.0%
x 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
F 4
50.0%
A 2
25.0%
X 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 3
42.9%
/ 2
28.6%
. 2
28.6%
Dash Punctuation
ValueCountFrequency (%)
- 2644
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18829
99.9%
Latin 18
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2893
15.4%
- 2644
14.0%
3 2471
13.1%
1 2254
12.0%
7 1554
8.3%
8 1272
6.8%
2 1249
6.6%
6 1232
6.5%
5 1183
6.3%
4 1117
 
5.9%
Other values (8) 960
 
5.1%
Latin
ValueCountFrequency (%)
f 4
22.2%
F 4
22.2%
A 2
11.1%
X 2
11.1%
o 1
 
5.6%
i 1
 
5.6%
c 1
 
5.6%
e 1
 
5.6%
a 1
 
5.6%
x 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18847
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2893
15.3%
- 2644
14.0%
3 2471
13.1%
1 2254
12.0%
7 1554
8.2%
8 1272
6.7%
2 1249
6.6%
6 1232
6.5%
5 1183
6.3%
4 1117
 
5.9%
Other values (18) 978
 
5.2%

소재지면적정보
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
0
2823 
<NA>
652 

Length

Max length4
Median length1
Mean length1.5628777
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 2823
81.2%
<NA> 652
 
18.8%

Length

2023-12-11T07:54:42.967792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:54:43.061087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2823
81.2%
na 652
 
18.8%

소재지도로명주소
Text

MISSING 

Distinct3035
Distinct (%)88.2%
Missing35
Missing (%)1.0%
Memory size27.3 KiB
2023-12-11T07:54:43.368356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length51
Mean length30.997384
Min length15

Characters and Unicode

Total characters106631
Distinct characters586
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

Unique2733 ?
Unique (%)79.4%

Sample

1st row경기도 용인시 기흥구 흥덕중앙로 120, 1812호 (영덕동, U-타워)
2nd row경기도 포천시 영중면 사은다리1길 49
3rd row경기도 안산시 단원구 시화로 198 (성곡동)
4th row경기도 부천시 도약로 261 (중동)
5th row경기도 성남시 분당구 구미로 16 (구미동, 성우스타우스오피스텔)
ValueCountFrequency (%)
경기도 3440
 
15.4%
성남시 317
 
1.4%
고양시 317
 
1.4%
화성시 302
 
1.4%
1층 262
 
1.2%
용인시 220
 
1.0%
분당구 200
 
0.9%
남양주시 175
 
0.8%
파주시 172
 
0.8%
안성시 166
 
0.7%
Other values (5495) 16720
75.0%
2023-12-11T07:54:43.819314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18857
 
17.7%
1 4313
 
4.0%
기 3645
 
3.4%
시 3627
 
3.4%
도 3613
 
3.4%
경 3572
 
3.3%
동 3406
 
3.2%
로 2978
 
2.8%
2 2643
 
2.5%
) 2265
 
2.1%
Other values (576) 57712
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60626
56.9%
Space Separator 18857
 
17.7%
Decimal Number 18540
 
17.4%
Close Punctuation 2265
 
2.1%
Open Punctuation 2265
 
2.1%
Other Punctuation 2257
 
2.1%
Dash Punctuation 1123
 
1.1%
Uppercase Letter 594
 
0.6%
Lowercase Letter 82
 
0.1%
Letter Number 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 3645
 
6.0%
시 3627
 
6.0%
도 3613
 
6.0%
경 3572
 
5.9%
동 3406
 
5.6%
로 2978
 
4.9%
길 1691
 
2.8%
구 1404
 
2.3%
호 1391
 
2.3%
번 1125
 
1.9%
Other values (513) 34174
56.4%
Uppercase Letter
ValueCountFrequency (%)
B 120
20.2%
A 98
16.5%
I 52
8.8%
C 50
8.4%
T 41
 
6.9%
S 30
 
5.1%
E 29
 
4.9%
K 25
 
4.2%
R 20
 
3.4%
U 16
 
2.7%
Other values (16) 113
19.0%
Lowercase Letter
ValueCountFrequency (%)
e 17
20.7%
n 11
13.4%
m 10
12.2%
c 8
9.8%
p 7
8.5%
a 7
8.5%
b 6
 
7.3%
t 6
 
7.3%
r 5
 
6.1%
o 3
 
3.7%
Other values (2) 2
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 4313
23.3%
2 2643
14.3%
3 1949
10.5%
0 1934
10.4%
4 1613
 
8.7%
5 1516
 
8.2%
7 1230
 
6.6%
6 1210
 
6.5%
8 1154
 
6.2%
9 978
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 2226
98.6%
& 11
 
0.5%
. 8
 
0.4%
; 7
 
0.3%
/ 3
 
0.1%
@ 2
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 11
68.8%
Ⅰ 4
 
25.0%
Ⅲ 1
 
6.2%
Math Symbol
ValueCountFrequency (%)
~ 5
83.3%
∥ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
18857
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2265
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2265
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60626
56.9%
Common 45313
42.5%
Latin 692
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 3645
 
6.0%
시 3627
 
6.0%
도 3613
 
6.0%
경 3572
 
5.9%
동 3406
 
5.6%
로 2978
 
4.9%
길 1691
 
2.8%
구 1404
 
2.3%
호 1391
 
2.3%
번 1125
 
1.9%
Other values (513) 34174
56.4%
Latin
ValueCountFrequency (%)
B 120
17.3%
A 98
14.2%
I 52
 
7.5%
C 50
 
7.2%
T 41
 
5.9%
S 30
 
4.3%
E 29
 
4.2%
K 25
 
3.6%
R 20
 
2.9%
e 17
 
2.5%
Other values (31) 210
30.3%
Common
ValueCountFrequency (%)
18857
41.6%
1 4313
 
9.5%
2 2643
 
5.8%
) 2265
 
5.0%
( 2265
 
5.0%
, 2226
 
4.9%
3 1949
 
4.3%
0 1934
 
4.3%
4 1613
 
3.6%
5 1516
 
3.3%
Other values (12) 5732
 
12.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60626
56.9%
ASCII 45988
43.1%
Number Forms 16
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18857
41.0%
1 4313
 
9.4%
2 2643
 
5.7%
) 2265
 
4.9%
( 2265
 
4.9%
, 2226
 
4.8%
3 1949
 
4.2%
0 1934
 
4.2%
4 1613
 
3.5%
5 1516
 
3.3%
Other values (49) 6407
 
13.9%
Hangul
ValueCountFrequency (%)
기 3645
 
6.0%
시 3627
 
6.0%
도 3613
 
6.0%
경 3572
 
5.9%
동 3406
 
5.6%
로 2978
 
4.9%
길 1691
 
2.8%
구 1404
 
2.3%
호 1391
 
2.3%
번 1125
 
1.9%
Other values (513) 34174
56.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 11
68.8%
Ⅰ 4
 
25.0%
Ⅲ 1
 
6.2%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

소재지지번주소
Text

Distinct3125
Distinct (%)90.0%
Missing3
Missing (%)0.1%
Memory size27.3 KiB
2023-12-11T07:54:44.132606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length47
Mean length25.671371
Min length1

Characters and Unicode

Total characters89131
Distinct characters529
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2857 ?
Unique (%)82.3%

Sample

1st row경기도 용인시 기흥구 영덕동 1029번지 U-타워 1812호
2nd row경기도 포천시 영중면 거사리 480-6번지
3rd row경기도 안산시 단원구 성곡동 670번지 2호
4th row경기도 부천시 도당동 187-7번지
5th row경기도 성남시 분당구 구미동 189-1번지 성우스타우스오피스텔
ValueCountFrequency (%)
경기도 3441
 
17.9%
고양시 320
 
1.7%
성남시 318
 
1.7%
화성시 305
 
1.6%
용인시 217
 
1.1%
분당구 200
 
1.0%
남양주시 176
 
0.9%
파주시 175
 
0.9%
안성시 165
 
0.9%
수원시 162
 
0.8%
Other values (5196) 13739
71.5%
2023-12-11T07:54:44.583099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18440
20.7%
도 3599
 
4.0%
시 3576
 
4.0%
기 3573
 
4.0%
1 3485
 
3.9%
경 3480
 
3.9%
동 3029
 
3.4%
- 2391
 
2.7%
2 2191
 
2.5%
지 1859
 
2.1%
Other values (519) 43508
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50833
57.0%
Space Separator 18440
 
20.7%
Decimal Number 16731
 
18.8%
Dash Punctuation 2391
 
2.7%
Uppercase Letter 498
 
0.6%
Lowercase Letter 75
 
0.1%
Other Punctuation 67
 
0.1%
Close Punctuation 41
 
< 0.1%
Open Punctuation 41
 
< 0.1%
Letter Number 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 3599
 
7.1%
시 3576
 
7.0%
기 3573
 
7.0%
경 3480
 
6.8%
동 3029
 
6.0%
지 1859
 
3.7%
번 1527
 
3.0%
리 1450
 
2.9%
구 1390
 
2.7%
호 1113
 
2.2%
Other values (456) 26237
51.6%
Uppercase Letter
ValueCountFrequency (%)
B 92
18.5%
A 70
14.1%
I 43
8.6%
C 41
 
8.2%
T 41
 
8.2%
E 27
 
5.4%
S 25
 
5.0%
R 20
 
4.0%
K 18
 
3.6%
U 16
 
3.2%
Other values (16) 105
21.1%
Lowercase Letter
ValueCountFrequency (%)
e 16
21.3%
n 9
12.0%
m 9
12.0%
c 7
9.3%
p 6
 
8.0%
t 6
 
8.0%
a 6
 
8.0%
b 5
 
6.7%
r 5
 
6.7%
o 3
 
4.0%
Other values (3) 3
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 3485
20.8%
2 2191
13.1%
3 1758
10.5%
0 1694
10.1%
4 1576
9.4%
5 1513
9.0%
6 1315
 
7.9%
7 1126
 
6.7%
8 1099
 
6.6%
9 974
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 42
62.7%
& 9
 
13.4%
; 6
 
9.0%
/ 4
 
6.0%
. 3
 
4.5%
@ 3
 
4.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 8
61.5%
Ⅰ 4
30.8%
Ⅲ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
18440
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2391
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50833
57.0%
Common 37712
42.3%
Latin 586
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 3599
 
7.1%
시 3576
 
7.0%
기 3573
 
7.0%
경 3480
 
6.8%
동 3029
 
6.0%
지 1859
 
3.7%
번 1527
 
3.0%
리 1450
 
2.9%
구 1390
 
2.7%
호 1113
 
2.2%
Other values (456) 26237
51.6%
Latin
ValueCountFrequency (%)
B 92
15.7%
A 70
 
11.9%
I 43
 
7.3%
C 41
 
7.0%
T 41
 
7.0%
E 27
 
4.6%
S 25
 
4.3%
R 20
 
3.4%
K 18
 
3.1%
U 16
 
2.7%
Other values (32) 193
32.9%
Common
ValueCountFrequency (%)
18440
48.9%
1 3485
 
9.2%
- 2391
 
6.3%
2 2191
 
5.8%
3 1758
 
4.7%
0 1694
 
4.5%
4 1576
 
4.2%
5 1513
 
4.0%
6 1315
 
3.5%
7 1126
 
3.0%
Other values (11) 2223
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50833
57.0%
ASCII 38285
43.0%
Number Forms 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18440
48.2%
1 3485
 
9.1%
- 2391
 
6.2%
2 2191
 
5.7%
3 1758
 
4.6%
0 1694
 
4.4%
4 1576
 
4.1%
5 1513
 
4.0%
6 1315
 
3.4%
7 1126
 
2.9%
Other values (50) 2796
 
7.3%
Hangul
ValueCountFrequency (%)
도 3599
 
7.1%
시 3576
 
7.0%
기 3573
 
7.0%
경 3480
 
6.8%
동 3029
 
6.0%
지 1859
 
3.7%
번 1527
 
3.0%
리 1450
 
2.9%
구 1390
 
2.7%
호 1113
 
2.2%
Other values (456) 26237
51.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 8
61.5%
Ⅰ 4
30.8%
Ⅲ 1
 
7.7%

위도
Real number (ℝ)

Distinct2784
Distinct (%)80.7%
Missing25
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean37.438898
Minimum36.923654
Maximum38.198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-12-11T07:54:44.737734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.923654
5-th percentile37.037086
Q137.262953
median37.397608
Q337.661856
95-th percentile37.848368
Maximum38.198
Range1.2743461
Interquartile range (IQR)0.39890235

Descriptive statistics

Standard deviation0.25154726
Coefficient of variation (CV)0.0067188745
Kurtosis-0.80943868
Mean37.438898
Median Absolute Deviation (MAD)0.20877446
Skewness0.13285643
Sum129164.2
Variance0.063276024
MonotonicityNot monotonic
2023-12-11T07:54:44.875681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3888656 11
 
0.3%
37.3660861 10
 
0.3%
37.5047159 10
 
0.3%
37.5503668716 7
 
0.2%
37.4458457243 6
 
0.2%
37.3793951 6
 
0.2%
37.439938 6
 
0.2%
37.3812767 6
 
0.2%
37.366142335 5
 
0.1%
37.6844806839 5
 
0.1%
Other values (2774) 3378
97.2%
(Missing) 25
 
0.7%
ValueCountFrequency (%)
36.9236536026 1
 
< 0.1%
36.9323894 2
0.1%
36.9360150583 1
 
< 0.1%
36.9400315719 1
 
< 0.1%
36.9402218 1
 
< 0.1%
36.9428848693 1
 
< 0.1%
36.9444874337 1
 
< 0.1%
36.9445487055 4
0.1%
36.9447805 1
 
< 0.1%
36.945023 1
 
< 0.1%
ValueCountFrequency (%)
38.1979997301 1
< 0.1%
38.197877 1
< 0.1%
38.1973911369 1
< 0.1%
38.1557206 1
< 0.1%
38.103883 1
< 0.1%
38.0991084 1
< 0.1%
38.091541132 1
< 0.1%
38.0905683536 1
< 0.1%
38.0878066089 1
< 0.1%
38.0825013 1
< 0.1%

경도
Real number (ℝ)

Distinct2784
Distinct (%)80.7%
Missing25
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean127.03201
Minimum126.54851
Maximum127.77403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-12-11T07:54:44.994095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54851
5-th percentile126.71251
Q1126.83238
median127.04672
Q3127.17365
95-th percentile127.45852
Maximum127.77403
Range1.2255254
Interquartile range (IQR)0.34126677

Descriptive statistics

Standard deviation0.2288546
Coefficient of variation (CV)0.0018015506
Kurtosis-0.15653172
Mean127.03201
Median Absolute Deviation (MAD)0.1673948
Skewness0.41702455
Sum438260.45
Variance0.052374428
MonotonicityNot monotonic
2023-12-11T07:54:45.117471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1224312 11
 
0.3%
127.1053492 10
 
0.3%
127.6334065 10
 
0.3%
127.191138275 7
 
0.2%
126.8020023203 6
 
0.2%
127.1141288 6
 
0.2%
127.1776552 6
 
0.2%
126.9380944 6
 
0.2%
127.1053883207 5
 
0.1%
126.8230216365 5
 
0.1%
Other values (2774) 3378
97.2%
(Missing) 25
 
0.7%
ValueCountFrequency (%)
126.5485079113 1
< 0.1%
126.5514966635 1
< 0.1%
126.5521932886 1
< 0.1%
126.5546172 1
< 0.1%
126.5561526 1
< 0.1%
126.5567307169 1
< 0.1%
126.5575013252 1
< 0.1%
126.5613688834 1
< 0.1%
126.5644797 1
< 0.1%
126.565407595 1
< 0.1%
ValueCountFrequency (%)
127.7740333236 3
0.1%
127.733995613 1
 
< 0.1%
127.7112355609 2
0.1%
127.7109367 1
 
< 0.1%
127.7056489 2
0.1%
127.6858070815 1
 
< 0.1%
127.6844161 1
 
< 0.1%
127.6658735854 1
 
< 0.1%
127.6619927924 1
 
< 0.1%
127.6592432 1
 
< 0.1%

업태구분명정보
Categorical

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
단미
1499 
수입
1304 
보조
388 
사료제조업(배합)
272 
배합
 
10

Length

Max length9
Median length2
Mean length2.5490647
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수입
2nd row단미
3rd row사료제조업(배합)
4th row단미
5th row수입

Common Values

ValueCountFrequency (%)
단미 1499
43.1%
수입 1304
37.5%
보조 388
 
11.2%
사료제조업(배합) 272
 
7.8%
배합 10
 
0.3%
<NA> 2
 
0.1%

Length

2023-12-11T07:54:45.237820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:54:45.328362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 1499
43.1%
수입 1304
37.5%
보조 388
 
11.2%
사료제조업(배합 272
 
7.8%
배합 10
 
0.3%
na 2
 
0.1%

X좌표값
Real number (ℝ)

MISSING 

Distinct2612
Distinct (%)79.5%
Missing189
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean202755.58
Minimum160073.34
Maximum268344.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-12-11T07:54:45.488734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160073.34
5-th percentile174468.13
Q1185016.51
median204003.85
Q3215247.95
95-th percentile240705.21
Maximum268344.31
Range108270.97
Interquartile range (IQR)30231.435

Descriptive statistics

Standard deviation20339.84
Coefficient of variation (CV)0.10031704
Kurtosis-0.15888563
Mean202755.58
Median Absolute Deviation (MAD)15005.589
Skewness0.42678685
Sum6.6625483 × 108
Variance4.137091 × 108
MonotonicityNot monotonic
2023-12-11T07:54:45.599884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209266.32947403 13
 
0.4%
255941.655844952 12
 
0.3%
209271.991810963 10
 
0.3%
210776.048172188 10
 
0.3%
215657.504440664 9
 
0.3%
214983.338171288 8
 
0.2%
210042.842544976 7
 
0.2%
179708.826286267 7
 
0.2%
209268.321106193 7
 
0.2%
207082.504166247 7
 
0.2%
Other values (2602) 3196
92.0%
(Missing) 189
 
5.4%
ValueCountFrequency (%)
160073.337441912 1
< 0.1%
160402.969307417 1
< 0.1%
160433.890223563 1
< 0.1%
160662.026173758 1
< 0.1%
160789.174471939 1
< 0.1%
160865.429382762 1
< 0.1%
160918.191764555 1
< 0.1%
161196.79254027 1
< 0.1%
161500.493835435 1
< 0.1%
161616.234001672 1
< 0.1%
ValueCountFrequency (%)
268344.306587727 3
0.1%
265051.031289594 1
 
< 0.1%
263062.395517 1
 
< 0.1%
262972.677520149 2
0.1%
262299.826498504 2
0.1%
260795.005575 1
 
< 0.1%
260712.252931666 1
 
< 0.1%
259011.94884829 1
 
< 0.1%
258710.515837399 1
 
< 0.1%
258386.582139652 1
 
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct2612
Distinct (%)79.5%
Missing189
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean437482.01
Minimum380265.88
Maximum521674.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2023-12-11T07:54:45.728223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum380265.88
5-th percentile392799.13
Q1417850.45
median432735.25
Q3462644.24
95-th percentile483102.31
Maximum521674.49
Range141408.61
Interquartile range (IQR)44793.791

Descriptive statistics

Standard deviation28055.207
Coefficient of variation (CV)0.064128824
Kurtosis-0.82212686
Mean437482.01
Median Absolute Deviation (MAD)23488.896
Skewness0.13781079
Sum1.4375659 × 109
Variance7.8709461 × 108
MonotonicityNot monotonic
2023-12-11T07:54:45.868970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
429348.924404431 13
 
0.4%
444917.537832506 12
 
0.3%
426903.175177001 10
 
0.3%
431880.785795565 10
 
0.3%
437557.61664539 9
 
0.3%
437154.00905322 8
 
0.2%
430829.13726498 7
 
0.2%
461404.803949418 7
 
0.2%
427643.0746251 7
 
0.2%
419203.362912598 7
 
0.2%
Other values (2602) 3196
92.0%
(Missing) 189
 
5.4%
ValueCountFrequency (%)
380265.87944586 1
 
< 0.1%
381237.126499654 2
0.1%
381633.765730153 1
 
< 0.1%
381984.308043783 1
 
< 0.1%
382090.150874996 1
 
< 0.1%
382376.146178797 1
 
< 0.1%
382484.0 3
0.1%
382513.765824372 1
 
< 0.1%
382588.590170291 1
 
< 0.1%
382595.631151792 3
0.1%
ValueCountFrequency (%)
521674.485114024 2
0.1%
521631.271871747 1
< 0.1%
516995.0 1
< 0.1%
510706.876236034 1
< 0.1%
509891.208826298 1
< 0.1%
509763.713186252 1
< 0.1%
509439.979336311 1
< 0.1%
508899.725479936 1
< 0.1%
505851.521739618 1
< 0.1%
504826.051753479 1
< 0.1%

축산업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
사료제조업
3412 
<NA>
 
63

Length

Max length5
Median length5
Mean length4.9818705
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사료제조업 3412
98.2%
<NA> 63
 
1.8%

Length

2023-12-11T07:54:45.992053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:54:46.088450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 3412
98.2%
na 63
 
1.8%

축산물가공업구분명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
단미
1488 
수입
1258 
보조
382 
<NA>
337 
배합
 
10

Length

Max length4
Median length2
Mean length2.1939568
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단미 1488
42.8%
수입 1258
36.2%
보조 382
 
11.0%
<NA> 337
 
9.7%
배합 10
 
0.3%

Length

2023-12-11T07:54:46.180185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:54:46.288413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 1488
42.8%
수입 1258
36.2%
보조 382
 
11.0%
na 337
 
9.7%
배합 10
 
0.3%

축산고유번호
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
1954 
0
1521 

Length

Max length4
Median length4
Mean length2.6869065
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1954
56.2%
0 1521
43.8%

Length

2023-12-11T07:54:46.386744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:54:46.483820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1954
56.2%
0 1521
43.8%

권리주체일련번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
000
2331 
L00
1061 
<NA>
 
63
O00
 
16
P00
 
2

Length

Max length4
Median length3
Mean length3.0181295
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 2331
67.1%
L00 1061
30.5%
<NA> 63
 
1.8%
O00 16
 
0.5%
P00 2
 
0.1%
F00 2
 
0.1%

Length

2023-12-11T07:54:46.604942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:54:46.718855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 2331
67.1%
l00 1061
30.5%
na 63
 
1.8%
o00 16
 
0.5%
p00 2
 
0.1%
f00 2
 
0.1%

총종업원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
1954 
0
1521 

Length

Max length4
Median length4
Mean length2.6869065
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1954
56.2%
0 1521
43.8%

Length

2023-12-11T07:54:46.831822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:54:46.940949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1954
56.2%
0 1521
43.8%

Sample

시군명인허가일자사업장명인허가취소일자통합영업상태명영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지시설전화번호소재지면적정보소재지도로명주소소재지지번주소위도경도업태구분명정보X좌표값Y좌표값축산업무구분명축산물가공업구분명축산고유번호권리주체일련번호총종업원수
0용인시20150205삼보통상<NA>영업/정상정상<NA><NA><NA><NA>031-726-58800경기도 용인시 기흥구 흥덕중앙로 120, 1812호 (영덕동, U-타워)경기도 용인시 기흥구 영덕동 1029번지 U-타워 1812호37.274822127.080781수입207082.504166419203.362913사료제조업수입<NA>000<NA>
1포천시20180615영광유지(주)<NA>영업/정상정상<NA><NA><NA><NA>531-89690경기도 포천시 영중면 사은다리1길 49경기도 포천시 영중면 거사리 480-6번지38.006346127.233485단미220443.849983500433.124974사료제조업단미<NA>L00<NA>
2안산시20000829수원축협사료<NA>영업/정상정상<NA><NA><NA><NA>03123040000경기도 안산시 단원구 시화로 198 (성곡동)경기도 안산시 단원구 성곡동 670번지 2호37.316602126.741117사료제조업(배합)176913.869138423975.946258사료제조업<NA>0L000
3부천시20131016나나와허니<NA>영업/정상정상<NA><NA><NA><NA><NA>0경기도 부천시 도약로 261 (중동)경기도 부천시 도당동 187-7번지37.511339126.77847단미180369.0445411.0사료제조업단미<NA>000<NA>
4성남시2017-04-10(주)유젠글로벌<NA>영업/정상정상<NA><NA><NA><NA>031-713-94380경기도 성남시 분당구 구미로 16 (구미동, 성우스타우스오피스텔)경기도 성남시 분당구 구미동 189-1번지 성우스타우스오피스텔37.337713127.11099수입209764.951989426193.378407사료제조업수입0L000
5과천시20100708지바이오<NA>영업/정상정상<NA><NA><NA><NA>02-504-8680<NA>경기도 과천시 용마2로 1 (과천동)경기도 과천시 과천동 513-54 번지37.446995126.992915배합<NA><NA>사료제조업배합<NA>000<NA>
6파주시20130715올가독스<NA>폐업폐업20180524<NA><NA><NA><NA>0경기도 파주시 운정1길 53-14 (야당동)경기도 파주시 야당동 290-23번지37.723012126.768487단미179524.179125468985.212077사료제조업단미<NA>000<NA>
7시흥시20141015봉구맘마<NA>폐업폐업20160502<NA><NA><NA><NA>0경기도 시흥시 군자로534번안길 18-6, 107호 (거모동, 녹원아파트제상가동)경기도 시흥시 거모동 1766-4번지 녹원아파트제상가동 107호37.34186126.788026단미181149.657687426677.164047사료제조업단미<NA>000<NA>
8남양주시20170726주식회사 밸리스<NA>휴업휴업<NA>20200617<NA><NA>070-8158-09200경기도 남양주시 오남읍 진건오남로 903 (서일대학 사회교육원)경기도 남양주시 오남읍 양지리 441-8번지37.704353127.194732단미217097.269932466893.085855사료제조업단미<NA>L00<NA>
9고양시20181011하나누리<NA>영업/정상정상<NA><NA><NA><NA><NA><NA>경기도 고양시 일산동구 일산로 38, 우림오피스텔 305호 (백석동)경기도 고양시 일산동구 백석동 1309번지 우림오피스텔37.641772126.787211수입181155.46037459965.050429사료제조업수입<NA>000<NA>
시군명인허가일자사업장명인허가취소일자통합영업상태명영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지시설전화번호소재지면적정보소재지도로명주소소재지지번주소위도경도업태구분명정보X좌표값Y좌표값축산업무구분명축산물가공업구분명축산고유번호권리주체일련번호총종업원수
3465수원시2023-05-03꼬미네까까<NA>영업/정상정상<NA><NA><NA><NA><NA>0경기도 수원시 영통구 청명남로4번길 28, 1층 (영통동)경기도 수원시 영통구 영통동 1000-18 1층37.24954127.074684단미206555.106287416405.981372사료제조업단미00000
3466군포시2023-03-20리차드 트레이딩<NA>영업/정상정상<NA><NA><NA><NA><NA>0경기도 군포시 금산로 13, 전기공사공제조합 경기중부사옥 5층 510호 (금정동)경기도 군포시 금정동 710-7 전기공사공제조합 경기중부사옥37.363594126.940582수입194656.001111429057.648136사료제조업수입00000
3467파주시2023-03-20건강한펫<NA>영업/정상정상<NA><NA><NA><NA><NA>0경기도 파주시 조리읍 등원로 271-2경기도 파주시 조리읍 오산리 386-3637.768518126.8243단미184457.809026474029.200474사료제조업단미00000
3468김포시2023-03-20주식회사 원메이드코리아<NA>영업/정상정상<NA><NA><NA><NA><NA>0경기도 김포시 태장로 741, 경동미르웰시티 252호 (장기동)경기도 김포시 장기동 2008-537.641247126.683919단미172060.790207459930.508281사료제조업단미0L000
3469의정부시2023-03-20해피랑<NA>폐업폐업2023-10-05<NA><NA><NA><NA>0경기도 의정부시 천보로 14, 글래드스톤&amp;그레이스모나코 1088호 (민락동)경기도 의정부시 민락동 803-137.743754127.099715단미208700.849745471202.493219사료제조업단미00000
3470파주시2023-08-03봄봄코리아 유한회사<NA>영업/정상정상<NA><NA><NA><NA><NA>0경기도 파주시 월롱면 황소바위길 377, 9동경기도 파주시 월롱면 영태리 70-337.782039126.801362단미182421.82967475563.160244사료제조업단미00000
3471파주시2023-08-03(주)제이원<NA>영업/정상정상<NA><NA><NA><NA><NA>0경기도 파주시 경의로 1246, 유은타워8차 11층 1104~5호 (와동동)경기도 파주시 와동동 1454-137.728618126.761421단미178881.4849469603.977095사료제조업단미00000
3472파주시2023-08-03봄봄코리아 유한회사<NA>영업/정상정상<NA><NA><NA><NA><NA>0경기도 파주시 월롱면 황소바위길 377, 9동경기도 파주시 월롱면 영태리 70-337.782039126.801362단미182421.82967475563.160244사료제조업단미00000
3473화성시2023-04-20댕꼬륵<NA>영업/정상정상<NA><NA><NA><NA><NA>0경기도 화성시 노들길 6-12, 엠폴리스 303 202호 (새솔동)경기도 화성시 새솔동 99-3 엠폴리스 303 202호37.280276126.819485단미183920.356849419827.905438사료제조업단미00000
3474용인시2023-04-21멍이네 수제간식<NA>영업/정상정상<NA><NA><NA><NA><NA>0경기도 용인시 처인구 모현읍 능원로 53경기도 용인시 처인구 모현읍 능원리 268-337.335123127.172368단미215205.032171425910.132362사료제조업단미00000

Duplicate rows

Most frequently occurring

시군명인허가일자사업장명통합영업상태명영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지시설전화번호소재지면적정보소재지도로명주소소재지지번주소위도경도업태구분명정보X좌표값Y좌표값축산업무구분명축산물가공업구분명축산고유번호권리주체일련번호총종업원수# duplicates
4고양시20211001더 DOG립만세폐업폐업20221229<NA><NA><NA><NA>0경기도 고양시 일산동구 백마로 195, 엠시티타워&amp;엠시티오피스텔 2층 2192호 (장항동)경기도 고양시 일산동구 장항동 869 엠시티타워&amp;엠시티오피스텔37.654822126.770768단미179708.826286461404.803949사료제조업단미000003
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