Overview

Dataset statistics

Number of variables7
Number of observations311
Missing cells4
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.7 KiB
Average record size in memory58.4 B

Variable types

Numeric2
Text4
DateTime1

Dataset

Description경상남도 사료제조업체 현황에 대한 데이터로, 제조업체명, 사료구분(배합, 단미, 보조 등), 생산사료명, 생산능력(톤), 영업상태에 대한 정보를 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15016374

Alerts

생산사료명 has 4 (1.3%) missing valuesMissing
번호 has unique valuesUnique
생산능력(톤) has 136 (43.7%) zerosZeros

Reproduction

Analysis started2023-12-10 23:53:57.038458
Analysis finished2023-12-10 23:53:58.351051
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct311
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156
Minimum1
Maximum311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T08:53:58.441972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.5
Q178.5
median156
Q3233.5
95-th percentile295.5
Maximum311
Range310
Interquartile range (IQR)155

Descriptive statistics

Standard deviation89.922189
Coefficient of variation (CV)0.57642429
Kurtosis-1.2
Mean156
Median Absolute Deviation (MAD)78
Skewness0
Sum48516
Variance8086
MonotonicityStrictly increasing
2023-12-11T08:53:58.608154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
206 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
211 1
 
0.3%
210 1
 
0.3%
209 1
 
0.3%
208 1
 
0.3%
207 1
 
0.3%
205 1
 
0.3%
Other values (301) 301
96.8%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
311 1
0.3%
310 1
0.3%
309 1
0.3%
308 1
0.3%
307 1
0.3%
306 1
0.3%
305 1
0.3%
304 1
0.3%
303 1
0.3%
302 1
0.3%

사업장명
Text

Distinct232
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T08:53:58.885545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length16
Mean length8.2733119
Min length2

Characters and Unicode

Total characters2573
Distinct characters285
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

Unique178 ?
Unique (%)57.2%

Sample

1st row대성물산
2nd row아이엠팜주식회사
3rd row(주)한국바이오케미칼
4th row참살이영농조합법인
5th row해성산업
ValueCountFrequency (%)
주식회사 17
 
4.5%
주)코리아에프앤에프 5
 
1.3%
주)동우티엠씨 5
 
1.3%
주)씨티씨바이오 5
 
1.3%
한국수생명연구소(주 4
 
1.1%
에스제이바이오 4
 
1.1%
아쿠아엘씨생명과학 4
 
1.1%
주)에이치에스아쿠아피드 4
 
1.1%
주)세농 4
 
1.1%
펫스토랑 3
 
0.8%
Other values (256) 320
85.3%
2023-12-11T08:53:59.306431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 173
 
6.7%
( 164
 
6.4%
) 164
 
6.4%
이 73
 
2.8%
64
 
2.5%
사 63
 
2.4%
아 52
 
2.0%
산 49
 
1.9%
에 48
 
1.9%
업 41
 
1.6%
Other values (275) 1682
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2081
80.9%
Open Punctuation 164
 
6.4%
Close Punctuation 164
 
6.4%
Uppercase Letter 89
 
3.5%
Space Separator 64
 
2.5%
Other Punctuation 6
 
0.2%
Lowercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 173
 
8.3%
이 73
 
3.5%
사 63
 
3.0%
아 52
 
2.5%
산 49
 
2.4%
에 48
 
2.3%
업 41
 
2.0%
농 41
 
2.0%
오 38
 
1.8%
스 33
 
1.6%
Other values (244) 1470
70.6%
Uppercase Letter
ValueCountFrequency (%)
T 11
12.4%
E 10
 
11.2%
P 7
 
7.9%
L 6
 
6.7%
M 6
 
6.7%
D 5
 
5.6%
J 5
 
5.6%
O 4
 
4.5%
N 4
 
4.5%
H 4
 
4.5%
Other values (12) 27
30.3%
Lowercase Letter
ValueCountFrequency (%)
i 1
20.0%
o 1
20.0%
c 1
20.0%
e 1
20.0%
h 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 164
100.0%
Space Separator
ValueCountFrequency (%)
64
100.0%
Other Punctuation
ValueCountFrequency (%)
& 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2081
80.9%
Common 398
 
15.5%
Latin 94
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 173
 
8.3%
이 73
 
3.5%
사 63
 
3.0%
아 52
 
2.5%
산 49
 
2.4%
에 48
 
2.3%
업 41
 
2.0%
농 41
 
2.0%
오 38
 
1.8%
스 33
 
1.6%
Other values (244) 1470
70.6%
Latin
ValueCountFrequency (%)
T 11
 
11.7%
E 10
 
10.6%
P 7
 
7.4%
L 6
 
6.4%
M 6
 
6.4%
D 5
 
5.3%
J 5
 
5.3%
O 4
 
4.3%
N 4
 
4.3%
H 4
 
4.3%
Other values (17) 32
34.0%
Common
ValueCountFrequency (%)
( 164
41.2%
) 164
41.2%
64
 
16.1%
& 6
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2081
80.9%
ASCII 492
 
19.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 173
 
8.3%
이 73
 
3.5%
사 63
 
3.0%
아 52
 
2.5%
산 49
 
2.4%
에 48
 
2.3%
업 41
 
2.0%
농 41
 
2.0%
오 38
 
1.8%
스 33
 
1.6%
Other values (244) 1470
70.6%
ASCII
ValueCountFrequency (%)
( 164
33.3%
) 164
33.3%
64
 
13.0%
T 11
 
2.2%
E 10
 
2.0%
P 7
 
1.4%
L 6
 
1.2%
M 6
 
1.2%
& 6
 
1.2%
D 5
 
1.0%
Other values (21) 49
 
10.0%

소재지
Text

Distinct237
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T08:53:59.672271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length43
Mean length24.59164
Min length16

Characters and Unicode

Total characters7648
Distinct characters227
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)60.8%

Sample

1st row경상남도 진주시 문산읍 동부로 853
2nd row경상남도 진주시 문산읍 삼곡리 1033번지 바이오21센터 벤304호
3rd row경상남도 진주시 문산읍 월아산로950번길 14-20
4th row경상남도 진주시 대곡면 유곡로 275-53
5th row경상남도 진주시 솔밭로14번길 7 (상평동)
ValueCountFrequency (%)
경상남도 311
 
18.9%
김해시 58
 
3.5%
양산시 41
 
2.5%
창원시 35
 
2.1%
사천시 25
 
1.5%
진주시 23
 
1.4%
밀양시 22
 
1.3%
통영시 20
 
1.2%
함안군 20
 
1.2%
한림면 17
 
1.0%
Other values (603) 1073
65.2%
2023-12-11T08:54:00.219391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1350
 
17.7%
상 347
 
4.5%
남 346
 
4.5%
경 321
 
4.2%
1 321
 
4.2%
도 317
 
4.1%
시 235
 
3.1%
로 195
 
2.5%
2 186
 
2.4%
동 164
 
2.1%
Other values (217) 3866
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4634
60.6%
Space Separator 1350
 
17.7%
Decimal Number 1323
 
17.3%
Dash Punctuation 114
 
1.5%
Close Punctuation 90
 
1.2%
Open Punctuation 90
 
1.2%
Other Punctuation 46
 
0.6%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 347
 
7.5%
남 346
 
7.5%
경 321
 
6.9%
도 317
 
6.8%
시 235
 
5.1%
로 195
 
4.2%
동 164
 
3.5%
길 163
 
3.5%
면 161
 
3.5%
산 148
 
3.2%
Other values (197) 2237
48.3%
Decimal Number
ValueCountFrequency (%)
1 321
24.3%
2 186
14.1%
5 129
9.8%
3 121
 
9.1%
4 112
 
8.5%
0 105
 
7.9%
9 99
 
7.5%
8 90
 
6.8%
6 81
 
6.1%
7 79
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 44
95.7%
* 1
 
2.2%
· 1
 
2.2%
Close Punctuation
ValueCountFrequency (%)
) 89
98.9%
] 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 89
98.9%
[ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
1350
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4634
60.6%
Common 3013
39.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 347
 
7.5%
남 346
 
7.5%
경 321
 
6.9%
도 317
 
6.8%
시 235
 
5.1%
로 195
 
4.2%
동 164
 
3.5%
길 163
 
3.5%
면 161
 
3.5%
산 148
 
3.2%
Other values (197) 2237
48.3%
Common
ValueCountFrequency (%)
1350
44.8%
1 321
 
10.7%
2 186
 
6.2%
5 129
 
4.3%
3 121
 
4.0%
- 114
 
3.8%
4 112
 
3.7%
0 105
 
3.5%
9 99
 
3.3%
8 90
 
3.0%
Other values (9) 386
 
12.8%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4634
60.6%
ASCII 3013
39.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1350
44.8%
1 321
 
10.7%
2 186
 
6.2%
5 129
 
4.3%
3 121
 
4.0%
- 114
 
3.8%
4 112
 
3.7%
0 105
 
3.5%
9 99
 
3.3%
8 90
 
3.0%
Other values (9) 386
 
12.8%
Hangul
ValueCountFrequency (%)
상 347
 
7.5%
남 346
 
7.5%
경 321
 
6.9%
도 317
 
6.8%
시 235
 
5.1%
로 195
 
4.2%
동 164
 
3.5%
길 163
 
3.5%
면 161
 
3.5%
산 148
 
3.2%
Other values (197) 2237
48.3%
None
ValueCountFrequency (%)
· 1
100.0%

생산사료명
Text

MISSING 

Distinct169
Distinct (%)55.0%
Missing4
Missing (%)1.3%
Memory size2.6 KiB
2023-12-11T08:54:00.451814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length25
Mean length13.032573
Min length2

Characters and Unicode

Total characters4001
Distinct characters189
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)43.0%

Sample

1st row양어용배합사료
2nd row보조사료 / 생균제
3rd row보조사료/생균제
4th row보조사료/미생물제(생균제)
5th row단미사료/식물성/곡물류 및 곡류부산물류
ValueCountFrequency (%)
배합사료 25
 
6.0%
보조사료/생균제 22
 
5.3%
수입사료 14
 
3.3%
양축용 12
 
2.9%
반추동물용 12
 
2.9%
섬유질 12
 
2.9%
10
 
2.4%
단미사료/혼합성-혼합제 8
 
1.9%
단미사료/동물성-단백질류 8
 
1.9%
단미사료/동물성/단백질류 7
 
1.7%
Other values (191) 289
69.0%
2023-12-11T08:54:00.816038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 342
 
8.5%
사 314
 
7.8%
료 313
 
7.8%
물 216
 
5.4%
단 194
 
4.8%
미 167
 
4.2%
성 147
 
3.7%
류 146
 
3.6%
112
 
2.8%
합 112
 
2.8%
Other values (179) 1938
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3292
82.3%
Other Punctuation 365
 
9.1%
Space Separator 112
 
2.8%
Close Punctuation 83
 
2.1%
Open Punctuation 83
 
2.1%
Dash Punctuation 48
 
1.2%
Uppercase Letter 6
 
0.1%
Lowercase Letter 6
 
0.1%
Connector Punctuation 4
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 314
 
9.5%
료 313
 
9.5%
물 216
 
6.6%
단 194
 
5.9%
미 167
 
5.1%
성 147
 
4.5%
류 146
 
4.4%
합 112
 
3.4%
제 105
 
3.2%
질 95
 
2.9%
Other values (158) 1483
45.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
16.7%
s 1
16.7%
l 1
16.7%
a 1
16.7%
e 1
16.7%
h 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
M 2
33.3%
F 1
16.7%
C 1
16.7%
R 1
16.7%
T 1
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 342
93.7%
, 12
 
3.3%
· 9
 
2.5%
. 2
 
0.5%
Space Separator
ValueCountFrequency (%)
112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3292
82.3%
Common 697
 
17.4%
Latin 12
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 314
 
9.5%
료 313
 
9.5%
물 216
 
6.6%
단 194
 
5.9%
미 167
 
5.1%
성 147
 
4.5%
류 146
 
4.4%
합 112
 
3.4%
제 105
 
3.2%
질 95
 
2.9%
Other values (158) 1483
45.0%
Latin
ValueCountFrequency (%)
M 2
16.7%
i 1
8.3%
F 1
8.3%
s 1
8.3%
l 1
8.3%
a 1
8.3%
e 1
8.3%
h 1
8.3%
C 1
8.3%
R 1
8.3%
Common
ValueCountFrequency (%)
/ 342
49.1%
112
 
16.1%
) 83
 
11.9%
( 83
 
11.9%
- 48
 
6.9%
, 12
 
1.7%
· 9
 
1.3%
_ 4
 
0.6%
. 2
 
0.3%
+ 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3292
82.3%
ASCII 700
 
17.5%
None 9
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 342
48.9%
112
 
16.0%
) 83
 
11.9%
( 83
 
11.9%
- 48
 
6.9%
, 12
 
1.7%
_ 4
 
0.6%
. 2
 
0.3%
+ 2
 
0.3%
M 2
 
0.3%
Other values (10) 10
 
1.4%
Hangul
ValueCountFrequency (%)
사 314
 
9.5%
료 313
 
9.5%
물 216
 
6.6%
단 194
 
5.9%
미 167
 
5.1%
성 147
 
4.5%
류 146
 
4.4%
합 112
 
3.4%
제 105
 
3.2%
질 95
 
2.9%
Other values (158) 1483
45.0%
None
ValueCountFrequency (%)
· 9
100.0%

생산능력(톤)
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.868167
Minimum0
Maximum668
Zeros136
Zeros (%)43.7%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T08:54:00.983682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310
95-th percentile100
Maximum668
Range668
Interquartile range (IQR)10

Descriptive statistics

Standard deviation64.278366
Coefficient of variation (CV)3.0802114
Kurtosis40.080692
Mean20.868167
Median Absolute Deviation (MAD)1
Skewness5.5571468
Sum6490
Variance4131.7084
MonotonicityNot monotonic
2023-12-11T08:54:01.133622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 136
43.7%
2 29
 
9.3%
1 22
 
7.1%
10 22
 
7.1%
3 11
 
3.5%
5 10
 
3.2%
8 9
 
2.9%
20 8
 
2.6%
50 7
 
2.3%
30 6
 
1.9%
Other values (33) 51
 
16.4%
ValueCountFrequency (%)
0 136
43.7%
1 22
 
7.1%
2 29
 
9.3%
3 11
 
3.5%
4 4
 
1.3%
5 10
 
3.2%
6 4
 
1.3%
7 1
 
0.3%
8 9
 
2.9%
9 3
 
1.0%
ValueCountFrequency (%)
668 1
 
0.3%
330 1
 
0.3%
300 4
1.3%
290 1
 
0.3%
256 1
 
0.3%
250 1
 
0.3%
230 1
 
0.3%
200 1
 
0.3%
160 1
 
0.3%
125 1
 
0.3%

전화번호
Text

Distinct178
Distinct (%)57.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T08:54:01.372740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.6784566
Min length1

Characters and Unicode

Total characters2699
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

Unique153 ?
Unique (%)49.2%

Sample

1st row-
2nd row055-763-1357
3rd row055-577-4976
4th row055-744-4100
5th row055-759-1680
ValueCountFrequency (%)
94
30.2%
055-835-0351 5
 
1.6%
055-346-2141 5
 
1.6%
055-323-3663 5
 
1.6%
055-391-7270 4
 
1.3%
055-298-1048 4
 
1.3%
055-362-1015 4
 
1.3%
055-646-3250 3
 
1.0%
055-641-0430 2
 
0.6%
055-375-8027 2
 
0.6%
Other values (168) 183
58.8%
2023-12-11T08:54:01.759987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 586
21.7%
- 528
19.6%
0 356
13.2%
3 242
9.0%
2 167
 
6.2%
8 159
 
5.9%
6 143
 
5.3%
1 141
 
5.2%
7 140
 
5.2%
4 135
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2171
80.4%
Dash Punctuation 528
 
19.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 586
27.0%
0 356
16.4%
3 242
11.1%
2 167
 
7.7%
8 159
 
7.3%
6 143
 
6.6%
1 141
 
6.5%
7 140
 
6.4%
4 135
 
6.2%
9 102
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 528
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2699
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 586
21.7%
- 528
19.6%
0 356
13.2%
3 242
9.0%
2 167
 
6.2%
8 159
 
5.9%
6 143
 
5.3%
1 141
 
5.2%
7 140
 
5.2%
4 135
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2699
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 586
21.7%
- 528
19.6%
0 356
13.2%
3 242
9.0%
2 167
 
6.2%
8 159
 
5.9%
6 143
 
5.3%
1 141
 
5.2%
7 140
 
5.2%
4 135
 
5.0%

등록일자
Date

Distinct270
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum1975-08-05 00:00:00
Maximum2018-12-18 00:00:00
2023-12-11T08:54:01.957178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:02.114156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T08:53:57.745358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:53:57.507296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:53:57.949672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:53:57.643051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:54:02.237019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호생산능력(톤)
번호1.0000.175
생산능력(톤)0.1751.000
2023-12-11T08:54:02.339010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호생산능력(톤)
번호1.000-0.122
생산능력(톤)-0.1221.000

Missing values

2023-12-11T08:53:58.172740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:53:58.307912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

번호사업장명소재지생산사료명생산능력(톤)전화번호등록일자
01대성물산경상남도 진주시 문산읍 동부로 853양어용배합사료0-2010-04-14
12아이엠팜주식회사경상남도 진주시 문산읍 삼곡리 1033번지 바이오21센터 벤304호보조사료 / 생균제0055-763-13572009-11-17
23(주)한국바이오케미칼경상남도 진주시 문산읍 월아산로950번길 14-20보조사료/생균제5055-577-49762011-09-28
34참살이영농조합법인경상남도 진주시 대곡면 유곡로 275-53보조사료/미생물제(생균제)2055-744-41002011-04-22
45해성산업경상남도 진주시 솔밭로14번길 7 (상평동)단미사료/식물성/곡물류 및 곡류부산물류5055-759-16802006-02-03
56그린낙농경상남도 진주시 판문로 419 (판문동)보조사료/아미노산제0-2009-07-24
67해미수산경상남도 통영시 산양읍 삼덕리 1 지선어류용배합사료0-2007-08-22
78주식회사 에스제이바이오경상남도 통영시 산양읍 산양일주로 1488어류용배합사료1-2011-11-28
89주식회사 에스제이바이오경상남도 통영시 산양읍 산양일주로 1488보조사료/생균제0055-646-32502007-03-22
910(주)해성경상남도 통영시 광도면 은황길 342-14단미사료/동물성/무기물류(패분)8055-649-26002000-07-15
번호사업장명소재지생산사료명생산능력(톤)전화번호등록일자
301302(주)필코TMR경상남도 김해시 생림면 안양로 107반추동물용 섬유질 배합사료120055-338-33372004-07-19
302303(주)우림피드경상남도 양산시 상북면 수서로 114단미사료/식물성/섬유질류/섬유질가공사료20055-375-80272003-12-22
303304라우피드경상남도 김해시 상동면 상동로543번안길 7-3보조사료/아미노산제5055-321-43442006-06-23
304305고성낙농영농조합법인경상남도 고성군 고성읍 남해안대로 2829-21, 2층단미사료/식물성/섬유질류/섬유질가공사료25055-673-82452004-10-01
305306(주)코리아에프앤에프경상남도 사천시 환경길 116 (사등동)양축용배합사료40055-835-03511997-01-27
306307(주)카길애그리퓨리나 김해공장경상남도 김해시 진영읍 본산로 257양축용 배합사료300055-340-34001998-08-25
307308부경양돈협동조합사료공장경상남도 김해시 진영읍 본산2로79번길 27양축용 배합사료200055-346-03311994-04-09
308309(주)농협사료 경남지사경상남도 함안군 법수면 윤외공단길 118양축용 배합사료668055-583-89811975-08-05
309310에이티씨경상남도 통영시 장골산길 8-10 (북신동)단미사료/동물성/단백질류(어분)0055-643-23342000-03-06
310311(주)아쿠아테크경상남도 김해시 생림면 나전로 231어류용 배합사료4055-323-91882006-03-06