Overview

Dataset statistics

Number of variables6
Number of observations53
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory51.4 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description전북특별자치도 내 위치한 사료제조업소 현황[사업장명, 소재지, 대표자명, 생산사료명(양축용배합사료, 반추동물용 섬유질배합사료 등), 전화번호 등]
Author전북특별자치도
URLhttps://www.data.go.kr/data/15114473/fileData.do

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 15:38:15.429154
Analysis finished2024-03-14 15:38:17.162235
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size605.0 B
2024-03-15T00:38:17.406942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.6
Q114
median27
Q340
95-th percentile50.4
Maximum53
Range52
Interquartile range (IQR)26

Descriptive statistics

Standard deviation15.443445
Coefficient of variation (CV)0.57197945
Kurtosis-1.2
Mean27
Median Absolute Deviation (MAD)13
Skewness0
Sum1431
Variance238.5
MonotonicityStrictly increasing
2024-03-15T00:38:17.773242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
41 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%

사업장명
Text

Distinct50
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size552.0 B
2024-03-15T00:38:18.698706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length11.754717
Min length3

Characters and Unicode

Total characters623
Distinct characters136
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)88.7%

Sample

1st row(주)카길애그리퓨리나 군산공장
2nd row씨제이피드앤케어주식회사
3rd row(주)카길애그리퓨리나 군산공장
4th row주) 참프레 군산공장
5th row씨제이피드앤케어주식회사
ValueCountFrequency (%)
주식회사 10
 
10.5%
군산공장 3
 
3.2%
섬유질사료공장 3
 
3.2%
농업회사법인 3
 
3.2%
주)카길애그리퓨리나 2
 
2.1%
주 2
 
2.1%
전주김제완주축협 2
 
2.1%
사료공장 2
 
2.1%
주)하림 2
 
2.1%
주)팜스토리 2
 
2.1%
Other values (62) 64
67.4%
2024-03-15T00:38:20.014489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
6.7%
사 39
 
6.3%
주 36
 
5.8%
장 21
 
3.4%
) 18
 
2.9%
회 17
 
2.7%
료 17
 
2.7%
공 16
 
2.6%
( 16
 
2.6%
산 15
 
2.4%
Other values (126) 386
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 544
87.3%
Space Separator 42
 
6.7%
Close Punctuation 18
 
2.9%
Open Punctuation 16
 
2.6%
Uppercase Letter 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 39
 
7.2%
주 36
 
6.6%
장 21
 
3.9%
회 17
 
3.1%
료 17
 
3.1%
공 16
 
2.9%
산 15
 
2.8%
식 13
 
2.4%
농 13
 
2.4%
합 12
 
2.2%
Other values (120) 345
63.4%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
R 1
33.3%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 544
87.3%
Common 76
 
12.2%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 39
 
7.2%
주 36
 
6.6%
장 21
 
3.9%
회 17
 
3.1%
료 17
 
3.1%
공 16
 
2.9%
산 15
 
2.8%
식 13
 
2.4%
농 13
 
2.4%
합 12
 
2.2%
Other values (120) 345
63.4%
Common
ValueCountFrequency (%)
42
55.3%
) 18
23.7%
( 16
 
21.1%
Latin
ValueCountFrequency (%)
T 1
33.3%
R 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 544
87.3%
ASCII 79
 
12.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
53.2%
) 18
22.8%
( 16
 
20.3%
T 1
 
1.3%
R 1
 
1.3%
M 1
 
1.3%
Hangul
ValueCountFrequency (%)
사 39
 
7.2%
주 36
 
6.6%
장 21
 
3.9%
회 17
 
3.1%
료 17
 
3.1%
공 16
 
2.9%
산 15
 
2.8%
식 13
 
2.4%
농 13
 
2.4%
합 12
 
2.2%
Other values (120) 345
63.4%

소재지
Text

Distinct50
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size552.0 B
2024-03-15T00:38:21.261918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length25.716981
Min length19

Characters and Unicode

Total characters1363
Distinct characters126
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)88.7%

Sample

1st row전북특별자치도 군산시 외항6길 45 (소룡동)
2nd row전북특별자치도 군산시 외항1길 426 (소룡동)
3rd row전북특별자치도 군산시 외항6길 45 (소룡동)
4th row전북특별자치도 군산시 자유무역로 165-19 (오식도동)
5th row전북특별자치도 군산시 외항1길 426 (소룡동)
ValueCountFrequency (%)
전북특별자치도 53
 
19.8%
정읍시 12
 
4.5%
김제시 9
 
3.4%
익산시 8
 
3.0%
군산시 7
 
2.6%
완주군 4
 
1.5%
소룡동 4
 
1.5%
고창군 3
 
1.1%
장수군 3
 
1.1%
신태인읍 3
 
1.1%
Other values (129) 162
60.4%
2024-03-15T00:38:22.784825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
215
 
15.8%
북 59
 
4.3%
도 57
 
4.2%
전 56
 
4.1%
자 54
 
4.0%
치 54
 
4.0%
특 53
 
3.9%
별 53
 
3.9%
1 41
 
3.0%
시 40
 
2.9%
Other values (116) 681
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 903
66.3%
Space Separator 215
 
15.8%
Decimal Number 187
 
13.7%
Dash Punctuation 18
 
1.3%
Open Punctuation 17
 
1.2%
Close Punctuation 17
 
1.2%
Other Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 59
 
6.5%
도 57
 
6.3%
전 56
 
6.2%
자 54
 
6.0%
치 54
 
6.0%
특 53
 
5.9%
별 53
 
5.9%
시 40
 
4.4%
산 32
 
3.5%
길 28
 
3.1%
Other values (101) 417
46.2%
Decimal Number
ValueCountFrequency (%)
1 41
21.9%
2 36
19.3%
5 17
9.1%
8 16
 
8.6%
6 16
 
8.6%
7 15
 
8.0%
4 15
 
8.0%
3 13
 
7.0%
0 9
 
4.8%
9 9
 
4.8%
Space Separator
ValueCountFrequency (%)
215
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 903
66.3%
Common 460
33.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 59
 
6.5%
도 57
 
6.3%
전 56
 
6.2%
자 54
 
6.0%
치 54
 
6.0%
특 53
 
5.9%
별 53
 
5.9%
시 40
 
4.4%
산 32
 
3.5%
길 28
 
3.1%
Other values (101) 417
46.2%
Common
ValueCountFrequency (%)
215
46.7%
1 41
 
8.9%
2 36
 
7.8%
- 18
 
3.9%
5 17
 
3.7%
( 17
 
3.7%
) 17
 
3.7%
8 16
 
3.5%
6 16
 
3.5%
7 15
 
3.3%
Other values (5) 52
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 903
66.3%
ASCII 460
33.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
215
46.7%
1 41
 
8.9%
2 36
 
7.8%
- 18
 
3.9%
5 17
 
3.7%
( 17
 
3.7%
) 17
 
3.7%
8 16
 
3.5%
6 16
 
3.5%
7 15
 
3.3%
Other values (5) 52
 
11.3%
Hangul
ValueCountFrequency (%)
북 59
 
6.5%
도 57
 
6.3%
전 56
 
6.2%
자 54
 
6.0%
치 54
 
6.0%
특 53
 
5.9%
별 53
 
5.9%
시 40
 
4.4%
산 32
 
3.5%
길 28
 
3.1%
Other values (101) 417
46.2%

대표자명
Text

Distinct48
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size552.0 B
2024-03-15T00:38:23.685892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length5.2264151
Min length3

Characters and Unicode

Total characters277
Distinct characters107
Distinct categories6 ?
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 (%)84.9%

Sample

1st row박용순
2nd row김선강
3rd row박용순
4th row참프레 군산공장
5th row김선강 외 1
ValueCountFrequency (%)
박용순 3
 
4.8%
송제근 3
 
4.8%
정학상 2
 
3.2%
김선강 2
 
3.2%
주)하림 2
 
3.2%
김투호 1
 
1.6%
이정선 1
 
1.6%
배호형 1
 
1.6%
현병용 1
 
1.6%
박정천 1
 
1.6%
Other values (45) 45
72.6%
2024-03-15T00:38:25.004056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 10
 
3.6%
9
 
3.2%
주 9
 
3.2%
정 9
 
3.2%
사 8
 
2.9%
공 7
 
2.5%
산 7
 
2.5%
조 7
 
2.5%
장 6
 
2.2%
료 6
 
2.2%
Other values (97) 199
71.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 258
93.1%
Space Separator 9
 
3.2%
Close Punctuation 4
 
1.4%
Open Punctuation 4
 
1.4%
Other Punctuation 1
 
0.4%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 10
 
3.9%
주 9
 
3.5%
정 9
 
3.5%
사 8
 
3.1%
공 7
 
2.7%
산 7
 
2.7%
조 7
 
2.7%
장 6
 
2.3%
료 6
 
2.3%
박 6
 
2.3%
Other values (92) 183
70.9%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 258
93.1%
Common 19
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 10
 
3.9%
주 9
 
3.5%
정 9
 
3.5%
사 8
 
3.1%
공 7
 
2.7%
산 7
 
2.7%
조 7
 
2.7%
장 6
 
2.3%
료 6
 
2.3%
박 6
 
2.3%
Other values (92) 183
70.9%
Common
ValueCountFrequency (%)
9
47.4%
) 4
21.1%
( 4
21.1%
, 1
 
5.3%
1 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 258
93.1%
ASCII 19
 
6.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 10
 
3.9%
주 9
 
3.5%
정 9
 
3.5%
사 8
 
3.1%
공 7
 
2.7%
산 7
 
2.7%
조 7
 
2.7%
장 6
 
2.3%
료 6
 
2.3%
박 6
 
2.3%
Other values (92) 183
70.9%
ASCII
ValueCountFrequency (%)
9
47.4%
) 4
21.1%
( 4
21.1%
, 1
 
5.3%
1 1
 
5.3%

생산사료명
Categorical

Distinct21
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Memory size552.0 B
양축용배합사료
12 
반추동물용 섬유질배합사료
8 
양축용 배합사료
6 
반추동물용 섬유질 배합사료
5 
반추동물용섬유질배합사료
4 
Other values (16)
18 

Length

Max length26
Median length22
Mean length11.886792
Min length7

Unique

Unique15 ?
Unique (%)28.3%

Sample

1st row양축용배합사료
2nd row양축용배합사료
3rd row그 밖의 동물.어류용 배합사료
4th row양축용 배합사료
5th row그 밖의 동물.어류용 배합사료

Common Values

ValueCountFrequency (%)
양축용배합사료 12
22.6%
반추동물용 섬유질배합사료 8
15.1%
양축용 배합사료 6
11.3%
반추동물용 섬유질 배합사료 5
9.4%
반추동물용섬유질배합사료 4
 
7.5%
그 밖의 동물.어류용 배합사료 3
 
5.7%
배합사료/그밖의 동물 어류용배합사료(애완용동물) 1
 
1.9%
양축용배합사료/배합사료원료/기초배합사료 1
 
1.9%
그밖의 동물.어류등의 배합사료/애완용동물 1
 
1.9%
그밖의동물/어류용 배합사료 1
 
1.9%
Other values (11) 11
20.8%

Length

2024-03-15T00:38:25.248885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
배합사료 20
18.7%
반추동물용 13
12.1%
양축용배합사료 12
11.2%
섬유질배합사료 9
 
8.4%
양축용 6
 
5.6%
그 5
 
4.7%
밖의 5
 
4.7%
동물.어류용 5
 
4.7%
섬유질 5
 
4.7%
반추동물용섬유질배합사료 4
 
3.7%
Other values (17) 23
21.5%

전화번호
Text

Distinct50
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size552.0 B
2024-03-15T00:38:26.241797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.037736
Min length12

Characters and Unicode

Total characters638
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

Unique47 ?
Unique (%)88.7%

Sample

1st row063-469-8600
2nd row063-460-7821
3rd row063-469-8600
4th row063-464-6921
5th row063-460-7821
ValueCountFrequency (%)
063-469-8600 2
 
3.8%
063-536-1161 2
 
3.8%
063-460-7821 2
 
3.8%
063-210-0806 1
 
1.9%
063-843-8100 1
 
1.9%
063-353-0666 1
 
1.9%
063-542-4224 1
 
1.9%
063-537-0715 1
 
1.9%
063-907-7007 1
 
1.9%
031-8027-2131 1
 
1.9%
Other values (40) 40
75.5%
2024-03-15T00:38:28.207378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 114
17.9%
- 106
16.6%
3 98
15.4%
6 87
13.6%
2 43
 
6.7%
1 43
 
6.7%
5 40
 
6.3%
4 32
 
5.0%
7 29
 
4.5%
8 24
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 532
83.4%
Dash Punctuation 106
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 114
21.4%
3 98
18.4%
6 87
16.4%
2 43
 
8.1%
1 43
 
8.1%
5 40
 
7.5%
4 32
 
6.0%
7 29
 
5.5%
8 24
 
4.5%
9 22
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 638
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 114
17.9%
- 106
16.6%
3 98
15.4%
6 87
13.6%
2 43
 
6.7%
1 43
 
6.7%
5 40
 
6.3%
4 32
 
5.0%
7 29
 
4.5%
8 24
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 638
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 114
17.9%
- 106
16.6%
3 98
15.4%
6 87
13.6%
2 43
 
6.7%
1 43
 
6.7%
5 40
 
6.3%
4 32
 
5.0%
7 29
 
4.5%
8 24
 
3.8%

Interactions

2024-03-15T00:38:16.207146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T00:38:28.546830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호사업장명소재지대표자명생산사료명전화번호
번호1.0000.9880.9880.8140.6130.988
사업장명0.9881.0001.0000.9970.9551.000
소재지0.9881.0001.0000.9970.9551.000
대표자명0.8140.9970.9971.0000.9150.997
생산사료명0.6130.9550.9550.9151.0000.955
전화번호0.9881.0001.0000.9970.9551.000
2024-03-15T00:38:28.930315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호생산사료명
번호1.0000.224
생산사료명0.2241.000

Missing values

2024-03-15T00:38:16.555028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:38:17.007873image/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

번호사업장명소재지대표자명생산사료명전화번호
01(주)카길애그리퓨리나 군산공장전북특별자치도 군산시 외항6길 45 (소룡동)박용순양축용배합사료063-469-8600
12씨제이피드앤케어주식회사전북특별자치도 군산시 외항1길 426 (소룡동)김선강양축용배합사료063-460-7821
23(주)카길애그리퓨리나 군산공장전북특별자치도 군산시 외항6길 45 (소룡동)박용순그 밖의 동물.어류용 배합사료063-469-8600
34주) 참프레 군산공장전북특별자치도 군산시 자유무역로 165-19 (오식도동)참프레 군산공장양축용 배합사료063-464-6921
45씨제이피드앤케어주식회사전북특별자치도 군산시 외항1길 426 (소룡동)김선강 외 1그 밖의 동물.어류용 배합사료063-460-7821
56제일사료주식회사전북특별자치도 익산시 황등면 시와로 63권천년양축용배합사료063-857-7066
67동일농산 주식회사전북특별자치도 익산시 왕궁면 간동길 6송순모양축용배합사료063-291-2471
78(주)하림 정읍사료공장전북특별자치도 정읍시 신태인읍 신태인공단길 17-28(주)하림 정읍사료공장양축용배합사료063-571-2540
89(주)초원 전북티엠알 사료전북특별자치도 정읍시 신태인읍 산전1길 78(주)초원 전북티엠알 사료반추동물용 섬유질배합사료063-571-7676
910(주)팜스토리 도드람비엔에프 정읍전북특별자치도 정읍시 신태인읍 신태인공단길 69편명식양축용배합사료063-571-0505
번호사업장명소재지대표자명생산사료명전화번호
4344익산군산축산업협동조합전북특별자치도 익산시 함라면 용산로 500익산군산축산협동조합반추동물용 섬유질배합사료063-843-4103
4445무진장축산업협동조합 섬유질사료공장전북특별자치도 진안군 관암길 8-7송제근반추동물용 섬유질배합사료063-433-3002
4546전주김제완주축협 완주섬유질사료공장전북특별자치도 완주군 화산면 운곡로 228-6전주김제완주축산업협동조합반추동물용섬유질배합사료063-263-2890
4647주)선진전북특별자치도 군산시 동가도길 25 (오식도동)(주)선진양축용 배합사료063-731-0022
4748대한사료(주) 전주공장전북특별자치도 전주시 덕진구 서귀로 186 (여의동)정근상양축용 배합사료063-210-0806
4849지평선티엠알영농조합법인전북특별자치도 김제시 황산면 황산로 518-47이정기반추동물용 섬유질배합사료063-546-9608
4950장수한우지방공사 TMR 사료공장전북특별자치도 장수군 장수읍 와동길 56송제근반추동물용섬유질배합사료063-353-0666
5051농업회사법인 (주)디에스피드전북특별자치도 정읍시 태인면 태인공단2길 29배호형양축용 배합사료063-537-0715
5152포그팜전북특별자치도 부안군 보안남로 17이정선반추동물용섬유질배합사료063-583-0922
5253남원섬유질사료조합공동사업법인전북특별자치도 남원시 대산면 대곡신계길 72최용만반추동물용 섬유질배합사료063-636-7589