Overview

Dataset statistics

Number of variables8
Number of observations273
Missing cells268
Missing cells (%)12.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.5 KiB
Average record size in memory65.5 B

Variable types

Text5
Categorical1
Numeric1
DateTime1

Dataset

Description관내 소 사육농가에 대한 데이터로 사업장 명칭, 대표자, 사업장 주소, 사육 마리 수, 사육 축종을 구분한 자료입니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=397&beforeMenuCd=DOM_000000201001001000&publicdatapk=15042690

Alerts

데이터기준일 has constant value ""Constant
사육두수 is highly overall correlated with 牛 종류 구분High correlation
牛 종류 구분 is highly overall correlated with 사육두수High correlation
牛 종류 구분 is highly imbalanced (81.4%)Imbalance
전화번호 has 157 (57.5%) missing valuesMissing
도로명 주소 has 111 (40.7%) missing valuesMissing

Reproduction

Analysis started2024-01-09 21:43:39.382836
Analysis finished2024-01-09 21:43:40.079524
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명칭
Text

Distinct262
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-01-10T06:43:40.272262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length4
Mean length4.3186813
Min length2

Characters and Unicode

Total characters1179
Distinct characters220
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

Unique252 ?
Unique (%)92.3%

Sample

1st row연흥농장
2nd row정농장
3rd row무내미농장
4th rowe-greenfarm
5th row행복한농장
ValueCountFrequency (%)
한우농장 4
 
1.4%
장동농장 2
 
0.7%
한울농장 2
 
0.7%
영태농장 2
 
0.7%
역평농장 2
 
0.7%
진우농장 2
 
0.7%
우리농장 2
 
0.7%
아름농장 2
 
0.7%
버들농장 2
 
0.7%
양지농장 2
 
0.7%
Other values (254) 254
92.0%
2024-01-10T06:43:40.665573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 269
22.8%
농 239
20.3%
우 31
 
2.6%
한 28
 
2.4%
목 27
 
2.3%
영 15
 
1.3%
수 15
 
1.3%
산 15
 
1.3%
성 13
 
1.1%
금 13
 
1.1%
Other values (210) 514
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1151
97.6%
Lowercase Letter 10
 
0.8%
Decimal Number 6
 
0.5%
Close Punctuation 4
 
0.3%
Open Punctuation 4
 
0.3%
Space Separator 3
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 269
23.4%
농 239
20.8%
우 31
 
2.7%
한 28
 
2.4%
목 27
 
2.3%
영 15
 
1.3%
수 15
 
1.3%
산 15
 
1.3%
성 13
 
1.1%
금 13
 
1.1%
Other values (195) 486
42.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
30.0%
r 2
20.0%
g 1
 
10.0%
n 1
 
10.0%
f 1
 
10.0%
a 1
 
10.0%
m 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
1 1
 
16.7%
5 1
 
16.7%
3 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1151
97.6%
Common 18
 
1.5%
Latin 10
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 269
23.4%
농 239
20.8%
우 31
 
2.7%
한 28
 
2.4%
목 27
 
2.3%
영 15
 
1.3%
수 15
 
1.3%
산 15
 
1.3%
성 13
 
1.1%
금 13
 
1.1%
Other values (195) 486
42.2%
Common
ValueCountFrequency (%)
) 4
22.2%
( 4
22.2%
2 3
16.7%
3
16.7%
1 1
 
5.6%
5 1
 
5.6%
3 1
 
5.6%
- 1
 
5.6%
Latin
ValueCountFrequency (%)
e 3
30.0%
r 2
20.0%
g 1
 
10.0%
n 1
 
10.0%
f 1
 
10.0%
a 1
 
10.0%
m 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1151
97.6%
ASCII 28
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 269
23.4%
농 239
20.8%
우 31
 
2.7%
한 28
 
2.4%
목 27
 
2.3%
영 15
 
1.3%
수 15
 
1.3%
산 15
 
1.3%
성 13
 
1.1%
금 13
 
1.1%
Other values (195) 486
42.2%
ASCII
ValueCountFrequency (%)
) 4
14.3%
( 4
14.3%
2 3
10.7%
3
10.7%
e 3
10.7%
r 2
 
7.1%
1 1
 
3.6%
5 1
 
3.6%
3 1
 
3.6%
- 1
 
3.6%
Other values (5) 5
17.9%

대표자명
Text

Distinct268
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-01-10T06:43:40.902833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.0586081
Min length3

Characters and Unicode

Total characters835
Distinct characters156
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique263 ?
Unique (%)96.3%

Sample

1st row배상성
2nd row정봉구
3rd row박병춘
4th row이윤근
5th row전이순
ValueCountFrequency (%)
김영태 2
 
0.7%
한기종 2
 
0.7%
김은주 2
 
0.7%
이명임 2
 
0.7%
김도연 2
 
0.7%
길병후 1
 
0.4%
김문웅 1
 
0.4%
김용주 1
 
0.4%
김광연 1
 
0.4%
한영수 1
 
0.4%
Other values (259) 259
94.5%
2024-01-10T06:43:41.241701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 64
 
7.7%
이 44
 
5.3%
박 27
 
3.2%
영 26
 
3.1%
정 25
 
3.0%
길 18
 
2.2%
현 17
 
2.0%
성 16
 
1.9%
수 15
 
1.8%
순 15
 
1.8%
Other values (146) 568
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 832
99.6%
Space Separator 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 64
 
7.7%
이 44
 
5.3%
박 27
 
3.2%
영 26
 
3.1%
정 25
 
3.0%
길 18
 
2.2%
현 17
 
2.0%
성 16
 
1.9%
수 15
 
1.8%
순 15
 
1.8%
Other values (143) 565
67.9%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 832
99.6%
Common 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 64
 
7.7%
이 44
 
5.3%
박 27
 
3.2%
영 26
 
3.1%
정 25
 
3.0%
길 18
 
2.2%
현 17
 
2.0%
성 16
 
1.9%
수 15
 
1.8%
순 15
 
1.8%
Other values (143) 565
67.9%
Common
ValueCountFrequency (%)
1
33.3%
( 1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 832
99.6%
ASCII 3
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 64
 
7.7%
이 44
 
5.3%
박 27
 
3.2%
영 26
 
3.1%
정 25
 
3.0%
길 18
 
2.2%
현 17
 
2.0%
성 16
 
1.9%
수 15
 
1.8%
순 15
 
1.8%
Other values (143) 565
67.9%
ASCII
ValueCountFrequency (%)
1
33.3%
( 1
33.3%
) 1
33.3%

전화번호
Text

MISSING 

Distinct113
Distinct (%)97.4%
Missing157
Missing (%)57.5%
Memory size2.3 KiB
2024-01-10T06:43:41.446478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1392
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

Unique111 ?
Unique (%)95.7%

Sample

1st row041-753-6130
2nd row041-752-6092
3rd row042-753-8465
4th row041-752-2290
5th row041-753-8689
ValueCountFrequency (%)
041-754-9654 3
 
2.6%
042-582-7025 2
 
1.7%
041-752-4680 1
 
0.9%
041-753-2314 1
 
0.9%
041-753-2378 1
 
0.9%
041-753-5600 1
 
0.9%
041-753-1254 1
 
0.9%
041-752-5492 1
 
0.9%
041-753-0856 1
 
0.9%
041-753-7512 1
 
0.9%
Other values (103) 103
88.8%
2024-01-10T06:43:41.736617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 232
16.7%
4 174
12.5%
5 170
12.2%
0 169
12.1%
1 160
11.5%
7 160
11.5%
2 104
7.5%
3 84
 
6.0%
8 48
 
3.4%
6 47
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1160
83.3%
Dash Punctuation 232
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 174
15.0%
5 170
14.7%
0 169
14.6%
1 160
13.8%
7 160
13.8%
2 104
9.0%
3 84
7.2%
8 48
 
4.1%
6 47
 
4.1%
9 44
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 232
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1392
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 232
16.7%
4 174
12.5%
5 170
12.2%
0 169
12.1%
1 160
11.5%
7 160
11.5%
2 104
7.5%
3 84
 
6.0%
8 48
 
3.4%
6 47
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1392
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 232
16.7%
4 174
12.5%
5 170
12.2%
0 169
12.1%
1 160
11.5%
7 160
11.5%
2 104
7.5%
3 84
 
6.0%
8 48
 
3.4%
6 47
 
3.4%

지번주소
Text

Distinct270
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-01-10T06:43:41.975852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length59
Mean length26.410256
Min length4

Characters and Unicode

Total characters7210
Distinct characters112
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique269 ?
Unique (%)98.5%

Sample

1st row충청남도 금산군 복수면 곡남리 304번지 1호
2nd row충청남도 금산군 추부면 장대리 466번지 2호
3rd row충청남도 금산군 남일면 마장리 327번지 외 1필(332)
4th row충청남도 금산군 부리면 선원리 807번지 외 2필
5th row충청남도 금산군 금성면 하류리 434번지 외 1필지
ValueCountFrequency (%)
충청남도 272
 
17.5%
금산군 272
 
17.5%
1호 61
 
3.9%
금성면 45
 
2.9%
복수면 39
 
2.5%
군북면 38
 
2.4%
부리면 37
 
2.4%
진산면 24
 
1.5%
2호 22
 
1.4%
추부면 21
 
1.3%
Other values (371) 725
46.6%
2024-01-10T06:43:42.326300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1807
25.1%
금 340
 
4.7%
산 329
 
4.6%
리 311
 
4.3%
군 310
 
4.3%
남 307
 
4.3%
지 299
 
4.1%
도 285
 
4.0%
충 272
 
3.8%
청 272
 
3.8%
Other values (102) 2678
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4260
59.1%
Space Separator 1807
25.1%
Decimal Number 1074
 
14.9%
Dash Punctuation 29
 
0.4%
Other Punctuation 17
 
0.2%
Close Punctuation 11
 
0.2%
Open Punctuation 11
 
0.2%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 340
 
8.0%
산 329
 
7.7%
리 311
 
7.3%
군 310
 
7.3%
남 307
 
7.2%
지 299
 
7.0%
도 285
 
6.7%
충 272
 
6.4%
청 272
 
6.4%
번 270
 
6.3%
Other values (86) 1265
29.7%
Decimal Number
ValueCountFrequency (%)
1 215
20.0%
2 142
13.2%
4 126
11.7%
5 123
11.5%
3 121
11.3%
7 82
 
7.6%
6 80
 
7.4%
8 74
 
6.9%
9 59
 
5.5%
0 52
 
4.8%
Space Separator
ValueCountFrequency (%)
1807
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4260
59.1%
Common 2950
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 340
 
8.0%
산 329
 
7.7%
리 311
 
7.3%
군 310
 
7.3%
남 307
 
7.2%
지 299
 
7.0%
도 285
 
6.7%
충 272
 
6.4%
청 272
 
6.4%
번 270
 
6.3%
Other values (86) 1265
29.7%
Common
ValueCountFrequency (%)
1807
61.3%
1 215
 
7.3%
2 142
 
4.8%
4 126
 
4.3%
5 123
 
4.2%
3 121
 
4.1%
7 82
 
2.8%
6 80
 
2.7%
8 74
 
2.5%
9 59
 
2.0%
Other values (6) 121
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4260
59.1%
ASCII 2949
40.9%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1807
61.3%
1 215
 
7.3%
2 142
 
4.8%
4 126
 
4.3%
5 123
 
4.2%
3 121
 
4.1%
7 82
 
2.8%
6 80
 
2.7%
8 74
 
2.5%
9 59
 
2.0%
Other values (5) 120
 
4.1%
Hangul
ValueCountFrequency (%)
금 340
 
8.0%
산 329
 
7.7%
리 311
 
7.3%
군 310
 
7.3%
남 307
 
7.2%
지 299
 
7.0%
도 285
 
6.7%
충 272
 
6.4%
청 272
 
6.4%
번 270
 
6.3%
Other values (86) 1265
29.7%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

도로명 주소
Text

MISSING 

Distinct160
Distinct (%)98.8%
Missing111
Missing (%)40.7%
Memory size2.3 KiB
2024-01-10T06:43:42.621625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length46
Mean length22.388889
Min length9

Characters and Unicode

Total characters3627
Distinct characters158
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

Unique159 ?
Unique (%)98.1%

Sample

1st row충청남도 금산군 복수면 수심대길 93
2nd row충청남도 금산군 추부면 추풍로 98
3rd row충청남도 금산군 남일면 마장길 144-14
4th row충청남도 금산군 부리면 무금로 1736-45 (외 2필)
5th row충청남도 금산군 금성면 큰말길 23 (외 1필지)
ValueCountFrequency (%)
충청남도 161
19.3%
금산군 161
19.3%
금성면 34
 
4.1%
부리면 24
 
2.9%
복수면 17
 
2.0%
군북면 17
 
2.0%
남일면 15
 
1.8%
추부면 13
 
1.6%
진산면 11
 
1.3%
금산읍 11
 
1.3%
Other values (269) 371
44.4%
2024-01-10T06:43:43.015938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
673
18.6%
금 218
 
6.0%
산 192
 
5.3%
남 185
 
5.1%
군 178
 
4.9%
충 161
 
4.4%
도 161
 
4.4%
청 161
 
4.4%
면 150
 
4.1%
1 137
 
3.8%
Other values (148) 1411
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2225
61.3%
Space Separator 673
 
18.6%
Decimal Number 605
 
16.7%
Dash Punctuation 75
 
2.1%
Other Punctuation 17
 
0.5%
Open Punctuation 16
 
0.4%
Close Punctuation 16
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 218
 
9.8%
산 192
 
8.6%
남 185
 
8.3%
군 178
 
8.0%
충 161
 
7.2%
도 161
 
7.2%
청 161
 
7.2%
면 150
 
6.7%
길 122
 
5.5%
로 44
 
2.0%
Other values (133) 653
29.3%
Decimal Number
ValueCountFrequency (%)
1 137
22.6%
2 91
15.0%
3 64
10.6%
4 64
10.6%
7 53
 
8.8%
5 52
 
8.6%
6 51
 
8.4%
0 34
 
5.6%
9 31
 
5.1%
8 28
 
4.6%
Space Separator
ValueCountFrequency (%)
673
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2225
61.3%
Common 1402
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 218
 
9.8%
산 192
 
8.6%
남 185
 
8.3%
군 178
 
8.0%
충 161
 
7.2%
도 161
 
7.2%
청 161
 
7.2%
면 150
 
6.7%
길 122
 
5.5%
로 44
 
2.0%
Other values (133) 653
29.3%
Common
ValueCountFrequency (%)
673
48.0%
1 137
 
9.8%
2 91
 
6.5%
- 75
 
5.3%
3 64
 
4.6%
4 64
 
4.6%
7 53
 
3.8%
5 52
 
3.7%
6 51
 
3.6%
0 34
 
2.4%
Other values (5) 108
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2225
61.3%
ASCII 1402
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
673
48.0%
1 137
 
9.8%
2 91
 
6.5%
- 75
 
5.3%
3 64
 
4.6%
4 64
 
4.6%
7 53
 
3.8%
5 52
 
3.7%
6 51
 
3.6%
0 34
 
2.4%
Other values (5) 108
 
7.7%
Hangul
ValueCountFrequency (%)
금 218
 
9.8%
산 192
 
8.6%
남 185
 
8.3%
군 178
 
8.0%
충 161
 
7.2%
도 161
 
7.2%
청 161
 
7.2%
면 150
 
6.7%
길 122
 
5.5%
로 44
 
2.0%
Other values (133) 653
29.3%

牛 종류 구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
한우
251 
젖소
 
11
한우, 육우
 
3
육우
 
3
한우, 젖소
 
1
Other values (4)
 
4

Length

Max length6
Median length2
Mean length2.1172161
Min length2

Unique

Unique5 ?
Unique (%)1.8%

Sample

1st row한우, 육우
2nd row한우
3rd row한우
4th row한우
5th row한우

Common Values

ValueCountFrequency (%)
한우 251
91.9%
젖소 11
 
4.0%
한우, 육우 3
 
1.1%
육우 3
 
1.1%
한우, 젖소 1
 
0.4%
한우, 사슴 1
 
0.4%
한우, 산양 1
 
0.4%
한우, 돼지 1
 
0.4%
한우, 염소 1
 
0.4%

Length

2024-01-10T06:43:43.130795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:43:43.231095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 259
92.2%
젖소 12
 
4.3%
육우 6
 
2.1%
사슴 1
 
0.4%
산양 1
 
0.4%
돼지 1
 
0.4%
염소 1
 
0.4%

사육두수
Real number (ℝ)

HIGH CORRELATION 

Distinct94
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.901099
Minimum0
Maximum1008
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-01-10T06:43:43.335937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median13
Q350
95-th percentile228
Maximum1008
Range1008
Interquartile range (IQR)46

Descriptive statistics

Standard deviation101.64591
Coefficient of variation (CV)1.9969296
Kurtosis32.774759
Mean50.901099
Median Absolute Deviation (MAD)11
Skewness4.7710035
Sum13896
Variance10331.891
MonotonicityNot monotonic
2024-01-10T06:43:43.446012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 29
 
10.6%
1 19
 
7.0%
4 14
 
5.1%
5 14
 
5.1%
3 12
 
4.4%
7 9
 
3.3%
50 8
 
2.9%
8 8
 
2.9%
25 7
 
2.6%
10 7
 
2.6%
Other values (84) 146
53.5%
ValueCountFrequency (%)
0 2
 
0.7%
1 19
7.0%
2 29
10.6%
3 12
4.4%
4 14
5.1%
5 14
5.1%
6 6
 
2.2%
7 9
 
3.3%
8 8
 
2.9%
9 3
 
1.1%
ValueCountFrequency (%)
1008 1
0.4%
500 2
0.7%
450 1
0.4%
430 1
0.4%
400 1
0.4%
380 1
0.4%
319 1
0.4%
306 1
0.4%
285 1
0.4%
265 1
0.4%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2021-01-19 00:00:00
Maximum2021-01-19 00:00:00
2024-01-10T06:43:43.529673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:43:43.824045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T06:43:39.777320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:43:43.873222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
牛 종류 구분사육두수
牛 종류 구분1.0000.772
사육두수0.7721.000
2024-01-10T06:43:43.936591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수牛 종류 구분
사육두수1.0000.514
牛 종류 구분0.5141.000

Missing values

2024-01-10T06:43:39.863417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:43:39.956116image/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.
2024-01-10T06:43:40.041035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

사업장명칭대표자명전화번호지번주소도로명 주소牛 종류 구분사육두수데이터기준일
0연흥농장배상성041-753-6130충청남도 금산군 복수면 곡남리 304번지 1호충청남도 금산군 복수면 수심대길 93한우, 육우1002021-01-19
1정농장정봉구041-752-6092충청남도 금산군 추부면 장대리 466번지 2호충청남도 금산군 추부면 추풍로 98한우212021-01-19
2무내미농장박병춘042-753-8465충청남도 금산군 남일면 마장리 327번지 외 1필(332)충청남도 금산군 남일면 마장길 144-14한우762021-01-19
3e-greenfarm이윤근<NA>충청남도 금산군 부리면 선원리 807번지 외 2필충청남도 금산군 부리면 무금로 1736-45 (외 2필)한우3192021-01-19
4행복한농장전이순<NA>충청남도 금산군 금성면 하류리 434번지 외 1필지충청남도 금산군 금성면 큰말길 23 (외 1필지)한우272021-01-19
5정호농장박병운041-752-2290충청남도 금산군 금성면 하류리 416번지 4호 (외 1필지 하류리 127-3)충청남도 금산군 금성면 큰말길 63-7, (외 1필지 하류리 127-3)한우1332021-01-19
6매현농장김일순<NA>충청남도 금산군 진산면 막현리 133번지<NA>한우252021-01-19
7산흥농장김진수041-753-8689충청남도 금산군 추부면 자부리 488번지 6호충청남도 금산군 추부면 추풍로 234-22한우1252021-01-19
8경훤농장박훤용041-752-6189충청남도 금산군 금성면 대암리 179번지 1호 169-1, 181-1, 182-1충청남도 금산군 금성면 왜벌길 5, (169-1, 179-1, 181-1, 182-1)한우422021-01-19
9한우농장김태문041-754-6683충청남도 금산군 금산읍 신대리 785번지 36호충청남도 금산군 금산읍 금산천2길 25-7한우902021-01-19
사업장명칭대표자명전화번호지번주소도로명 주소牛 종류 구분사육두수데이터기준일
263정수농장최재월<NA>충청남도 금산군 추부면 성당리 578번지 1호충청남도 금산군 추부면 승무재로 104한우42021-01-19
264신천농장박광설<NA>충청남도 금산군 남일면 신천리 368번지<NA>한우22021-01-19
265성현농장엄해룡041-752-4156충청남도 금산군 진산면 읍내리 89번지 2호충청남도 금산군 진산면 진산로 1174한우32021-01-19
266부미목장손부미<NA>충청남도 금산군 금성면 양전리 657번지 2호충청남도 금산군 금성면 가락바위길 45젖소1652021-01-19
267형제농장이완순<NA>충청남도 금산군 제원면 명암리 30번지 2호충청남도 금산군 제원면 흰바우길 230한우32021-01-19
268동일한우농장(설성한우)박은자<NA>충청남도 금산군 금성면 하류리 493번지 2호충청남도 금산군 금성면 하류신촌1길 15-47한우2402021-01-19
269금홍한우농장(2농장)김은주041-754-9654충청남도 금산군 금성면 하류리 535번지 1호충청남도 금산군 금성면 하류신촌1길 15-46한우5002021-01-19
270자유농장(설성농장)김미경<NA>충청남도 금산군 금성면 하류리 531번지충청남도 금산군 금성면 하류신촌1길 15-40한우2402021-01-19
271선진농장임선애<NA>충청남도 금산군 금성면 하류리 626번지충청남도 금산군 금성면 하류신촌1길 131한우1002021-01-19
272아름농장김영순<NA>충청남도 금산군 군북면 호티리 176번지 1호충청남도 금산군 군북면 사문길 130한우1332021-01-19