Overview

Dataset statistics

Number of variables8
Number of observations397
Missing cells149
Missing cells (%)4.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.1 KiB
Average record size in memory67.3 B

Variable types

Text3
Categorical1
Numeric3
DateTime1

Dataset

Description강원도 강릉시 소재의 축산농가의 데이터로 사업자명칭, 등록축종, 사업장소재지, 사육두수, 동수, 면적, 데이터기준일자 등을 제공합니다.
Author강원도 강릉시
URLhttps://www.data.go.kr/data/15092261/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
사육두수 is highly overall correlated with 동수 and 1 other fieldsHigh correlation
동수 is highly overall correlated with 사육두수 and 1 other fieldsHigh correlation
면적 is highly overall correlated with 사육두수 and 1 other fieldsHigh correlation
등록축종 is highly imbalanced (56.6%)Imbalance
사업장소재지(도로명) has 149 (37.5%) missing valuesMissing
사육두수 has 6 (1.5%) zerosZeros

Reproduction

Analysis started2023-12-12 21:01:29.506459
Analysis finished2023-12-12 21:01:31.290003
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명칭
Text

Distinct388
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-13T06:01:31.467771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length4.2115869
Min length2

Characters and Unicode

Total characters1672
Distinct characters261
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

Unique379 ?
Unique (%)95.5%

Sample

1st row참샘 농원
2nd row바리봉 농장
3rd row향호목장
4th row향호농장
5th row모솔양계
ValueCountFrequency (%)
농장 18
 
4.0%
목장 4
 
0.9%
팜 3
 
0.7%
산골농장 2
 
0.4%
말미골농장 2
 
0.4%
김순덕 2
 
0.4%
지재농장 2
 
0.4%
신갑승 2
 
0.4%
대관령 2
 
0.4%
향호목장 2
 
0.4%
Other values (401) 406
91.2%
2023-12-13T06:01:31.969099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 213
 
12.7%
농 179
 
10.7%
48
 
2.9%
김 48
 
2.9%
목 43
 
2.6%
이 39
 
2.3%
최 31
 
1.9%
기 24
 
1.4%
원 22
 
1.3%
호 19
 
1.1%
Other values (251) 1006
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1605
96.0%
Space Separator 48
 
2.9%
Uppercase Letter 7
 
0.4%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Decimal Number 3
 
0.2%
Lowercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 213
 
13.3%
농 179
 
11.2%
김 48
 
3.0%
목 43
 
2.7%
이 39
 
2.4%
최 31
 
1.9%
기 24
 
1.5%
원 22
 
1.4%
호 19
 
1.2%
산 19
 
1.2%
Other values (237) 968
60.3%
Uppercase Letter
ValueCountFrequency (%)
L 2
28.6%
R 1
14.3%
T 1
14.3%
O 1
14.3%
E 1
14.3%
D 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
n 1
33.3%
d 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1605
96.0%
Common 57
 
3.4%
Latin 10
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 213
 
13.3%
농 179
 
11.2%
김 48
 
3.0%
목 43
 
2.7%
이 39
 
2.4%
최 31
 
1.9%
기 24
 
1.5%
원 22
 
1.4%
호 19
 
1.2%
산 19
 
1.2%
Other values (237) 968
60.3%
Latin
ValueCountFrequency (%)
L 2
20.0%
R 1
10.0%
T 1
10.0%
O 1
10.0%
E 1
10.0%
D 1
10.0%
a 1
10.0%
n 1
10.0%
d 1
10.0%
Common
ValueCountFrequency (%)
48
84.2%
) 3
 
5.3%
( 3
 
5.3%
2 2
 
3.5%
1 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1605
96.0%
ASCII 67
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 213
 
13.3%
농 179
 
11.2%
김 48
 
3.0%
목 43
 
2.7%
이 39
 
2.4%
최 31
 
1.9%
기 24
 
1.5%
원 22
 
1.4%
호 19
 
1.2%
산 19
 
1.2%
Other values (237) 968
60.3%
ASCII
ValueCountFrequency (%)
48
71.6%
) 3
 
4.5%
( 3
 
4.5%
L 2
 
3.0%
2 2
 
3.0%
1 1
 
1.5%
R 1
 
1.5%
T 1
 
1.5%
O 1
 
1.5%
E 1
 
1.5%
Other values (4) 4
 
6.0%

등록축종
Categorical

IMBALANCE 

Distinct30
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
한우
271 
염소
 
20
육계
 
19
돼지
 
17
종계/산란계
 
12
Other values (25)
58 

Length

Max length31
Median length2
Mean length2.5617128
Min length2

Unique

Unique18 ?
Unique (%)4.5%

Sample

1st row한우
2nd row한우
3rd row한우
4th row한우
5th row종계/산란계

Common Values

ValueCountFrequency (%)
한우 271
68.3%
염소 20
 
5.0%
육계 19
 
4.8%
돼지 17
 
4.3%
종계/산란계 12
 
3.0%
산양 12
 
3.0%
사슴 8
 
2.0%
젖소 8
 
2.0%
<NA> 6
 
1.5%
육계, 염소 2
 
0.5%
Other values (20) 22
 
5.5%

Length

2023-12-13T06:01:32.157372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한우 277
63.7%
육계 29
 
6.7%
염소 26
 
6.0%
돼지 20
 
4.6%
산양 16
 
3.7%
사슴 16
 
3.7%
종계/산란계 14
 
3.2%
젖소 9
 
2.1%
오리 6
 
1.4%
na 6
 
1.4%
Other values (8) 16
 
3.7%

사업장소재지(지번)
Text

Distinct353
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-13T06:01:32.438387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length23.586902
Min length4

Characters and Unicode

Total characters9364
Distinct characters120
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

Unique349 ?
Unique (%)87.9%

Sample

1st row강원도 강릉시 주문진읍 향호리 1562번지 외 1필지
2nd row강원도 강릉시 주문진읍 향호리 511번지 6호 외 1필지
3rd row강원도 강릉시 주문진읍 향호리 862번지
4th row강원도 강릉시 주문진읍 향호리 511번지 8호
5th row강원도 강릉시 지변동 372번지 1호
ValueCountFrequency (%)
강원도 355
 
17.3%
강릉시 355
 
17.3%
1호 73
 
3.6%
강동면 62
 
3.0%
연곡면 50
 
2.4%
주문진읍 50
 
2.4%
구정면 48
 
2.3%
성산면 40
 
2.0%
사천면 39
 
1.9%
외 36
 
1.8%
Other values (454) 943
46.0%
2023-12-13T06:01:32.910552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2532
27.0%
강 773
 
8.3%
지 389
 
4.2%
시 367
 
3.9%
도 359
 
3.8%
원 357
 
3.8%
번 355
 
3.8%
릉 355
 
3.8%
리 345
 
3.7%
1 337
 
3.6%
Other values (110) 3195
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5349
57.1%
Space Separator 2532
27.0%
Decimal Number 1434
 
15.3%
Close Punctuation 13
 
0.1%
Open Punctuation 13
 
0.1%
Other Punctuation 12
 
0.1%
Dash Punctuation 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 773
14.5%
지 389
 
7.3%
시 367
 
6.9%
도 359
 
6.7%
원 357
 
6.7%
번 355
 
6.6%
릉 355
 
6.6%
리 345
 
6.4%
면 280
 
5.2%
호 213
 
4.0%
Other values (95) 1556
29.1%
Decimal Number
ValueCountFrequency (%)
1 337
23.5%
2 170
11.9%
3 156
10.9%
6 140
9.8%
5 127
 
8.9%
4 124
 
8.6%
7 103
 
7.2%
8 102
 
7.1%
0 93
 
6.5%
9 82
 
5.7%
Space Separator
ValueCountFrequency (%)
2532
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5349
57.1%
Common 4015
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 773
14.5%
지 389
 
7.3%
시 367
 
6.9%
도 359
 
6.7%
원 357
 
6.7%
번 355
 
6.6%
릉 355
 
6.6%
리 345
 
6.4%
면 280
 
5.2%
호 213
 
4.0%
Other values (95) 1556
29.1%
Common
ValueCountFrequency (%)
2532
63.1%
1 337
 
8.4%
2 170
 
4.2%
3 156
 
3.9%
6 140
 
3.5%
5 127
 
3.2%
4 124
 
3.1%
7 103
 
2.6%
8 102
 
2.5%
0 93
 
2.3%
Other values (5) 131
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5349
57.1%
ASCII 4015
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2532
63.1%
1 337
 
8.4%
2 170
 
4.2%
3 156
 
3.9%
6 140
 
3.5%
5 127
 
3.2%
4 124
 
3.1%
7 103
 
2.6%
8 102
 
2.5%
0 93
 
2.3%
Other values (5) 131
 
3.3%
Hangul
ValueCountFrequency (%)
강 773
14.5%
지 389
 
7.3%
시 367
 
6.9%
도 359
 
6.7%
원 357
 
6.7%
번 355
 
6.6%
릉 355
 
6.6%
리 345
 
6.4%
면 280
 
5.2%
호 213
 
4.0%
Other values (95) 1556
29.1%

사업장소재지(도로명)
Text

MISSING 

Distinct239
Distinct (%)96.4%
Missing149
Missing (%)37.5%
Memory size3.2 KiB
2023-12-13T06:01:33.298132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length21.584677
Min length17

Characters and Unicode

Total characters5353
Distinct characters180
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

Unique233 ?
Unique (%)94.0%

Sample

1st row강원도 강릉시 주문진읍 참샘길 149-14
2nd row강원도 강릉시 주문진읍 참샘길 149-95 (외 1필지)
3rd row강원도 강릉시 주문진읍 참샘길 149-95
4th row강원도 강릉시 지변길 155 (지변동)
5th row강원도 강릉시 연곡면 남평길 44-101
ValueCountFrequency (%)
강원도 248
19.8%
강릉시 248
19.8%
강동면 47
 
3.8%
연곡면 36
 
2.9%
구정면 35
 
2.8%
주문진읍 31
 
2.5%
성산면 29
 
2.3%
사천면 22
 
1.8%
옥계면 20
 
1.6%
임곡로 11
 
0.9%
Other values (363) 523
41.8%
2023-12-13T06:01:33.847219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1002
18.7%
강 547
 
10.2%
원 257
 
4.8%
시 252
 
4.7%
도 251
 
4.7%
릉 249
 
4.7%
1 205
 
3.8%
면 197
 
3.7%
길 183
 
3.4%
- 157
 
2.9%
Other values (170) 2053
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3193
59.6%
Space Separator 1002
 
18.7%
Decimal Number 950
 
17.7%
Dash Punctuation 157
 
2.9%
Open Punctuation 25
 
0.5%
Close Punctuation 25
 
0.5%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 547
17.1%
원 257
 
8.0%
시 252
 
7.9%
도 251
 
7.9%
릉 249
 
7.8%
면 197
 
6.2%
길 183
 
5.7%
동 82
 
2.6%
로 75
 
2.3%
곡 57
 
1.8%
Other values (155) 1043
32.7%
Decimal Number
ValueCountFrequency (%)
1 205
21.6%
2 141
14.8%
9 95
10.0%
5 93
9.8%
4 85
8.9%
3 81
 
8.5%
6 75
 
7.9%
7 74
 
7.8%
8 52
 
5.5%
0 49
 
5.2%
Space Separator
ValueCountFrequency (%)
1002
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 157
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3193
59.6%
Common 2160
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 547
17.1%
원 257
 
8.0%
시 252
 
7.9%
도 251
 
7.9%
릉 249
 
7.8%
면 197
 
6.2%
길 183
 
5.7%
동 82
 
2.6%
로 75
 
2.3%
곡 57
 
1.8%
Other values (155) 1043
32.7%
Common
ValueCountFrequency (%)
1002
46.4%
1 205
 
9.5%
- 157
 
7.3%
2 141
 
6.5%
9 95
 
4.4%
5 93
 
4.3%
4 85
 
3.9%
3 81
 
3.8%
6 75
 
3.5%
7 74
 
3.4%
Other values (5) 152
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3193
59.6%
ASCII 2160
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1002
46.4%
1 205
 
9.5%
- 157
 
7.3%
2 141
 
6.5%
9 95
 
4.4%
5 93
 
4.3%
4 85
 
3.9%
3 81
 
3.8%
6 75
 
3.5%
7 74
 
3.4%
Other values (5) 152
 
7.0%
Hangul
ValueCountFrequency (%)
강 547
17.1%
원 257
 
8.0%
시 252
 
7.9%
도 251
 
7.9%
릉 249
 
7.8%
면 197
 
6.2%
길 183
 
5.7%
동 82
 
2.6%
로 75
 
2.3%
곡 57
 
1.8%
Other values (155) 1043
32.7%

사육두수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct112
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean686.99748
Minimum0
Maximum50000
Zeros6
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T06:01:34.026117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median22
Q354
95-th percentile1520
Maximum50000
Range50000
Interquartile range (IQR)46

Descriptive statistics

Standard deviation4428.5343
Coefficient of variation (CV)6.4462162
Kurtosis84.199093
Mean686.99748
Median Absolute Deviation (MAD)17
Skewness8.8835832
Sum272738
Variance19611916
MonotonicityNot monotonic
2023-12-13T06:01:34.197932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 21
 
5.3%
20 19
 
4.8%
3 17
 
4.3%
4 17
 
4.3%
5 14
 
3.5%
7 12
 
3.0%
2 12
 
3.0%
6 12
 
3.0%
11 11
 
2.8%
50 10
 
2.5%
Other values (102) 252
63.5%
ValueCountFrequency (%)
0 6
 
1.5%
1 6
 
1.5%
2 12
3.0%
3 17
4.3%
4 17
4.3%
5 14
3.5%
6 12
3.0%
7 12
3.0%
8 8
2.0%
9 10
2.5%
ValueCountFrequency (%)
50000 1
 
0.3%
47732 1
 
0.3%
30000 3
0.8%
15000 1
 
0.3%
11900 1
 
0.3%
5010 1
 
0.3%
3500 1
 
0.3%
3000 1
 
0.3%
2840 1
 
0.3%
2800 1
 
0.3%

동수
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9647355
Minimum0
Maximum34
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T06:01:34.312661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum34
Range34
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.2414294
Coefficient of variation (CV)1.1408301
Kurtosis107.48036
Mean1.9647355
Median Absolute Deviation (MAD)0
Skewness8.3785351
Sum780
Variance5.0240058
MonotonicityNot monotonic
2023-12-13T06:01:34.437167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 227
57.2%
2 93
23.4%
3 30
 
7.6%
4 19
 
4.8%
5 14
 
3.5%
6 4
 
1.0%
7 3
 
0.8%
10 2
 
0.5%
12 2
 
0.5%
34 1
 
0.3%
Other values (2) 2
 
0.5%
ValueCountFrequency (%)
0 1
 
0.3%
1 227
57.2%
2 93
23.4%
3 30
 
7.6%
4 19
 
4.8%
5 14
 
3.5%
6 4
 
1.0%
7 3
 
0.8%
8 1
 
0.3%
10 2
 
0.5%
ValueCountFrequency (%)
34 1
 
0.3%
12 2
 
0.5%
10 2
 
0.5%
8 1
 
0.3%
7 3
 
0.8%
6 4
 
1.0%
5 14
 
3.5%
4 19
 
4.8%
3 30
 
7.6%
2 93
23.4%

면적
Real number (ℝ)

HIGH CORRELATION 

Distinct303
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean580.17537
Minimum7
Maximum16479.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T06:01:34.570868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile30
Q182
median264
Q3704.26
95-th percentile2213.24
Maximum16479.8
Range16472.8
Interquartile range (IQR)622.26

Descriptive statistics

Standard deviation1057.8328
Coefficient of variation (CV)1.8232983
Kurtosis129.04446
Mean580.17537
Median Absolute Deviation (MAD)208.2
Skewness9.14718
Sum230329.62
Variance1119010.1
MonotonicityNot monotonic
2023-12-13T06:01:34.739601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48.0 10
 
2.5%
100.0 8
 
2.0%
30.0 6
 
1.5%
33.0 6
 
1.5%
40.0 6
 
1.5%
49.0 5
 
1.3%
66.0 5
 
1.3%
198.0 5
 
1.3%
330.0 4
 
1.0%
80.0 4
 
1.0%
Other values (293) 338
85.1%
ValueCountFrequency (%)
7.0 1
0.3%
10.0 2
0.5%
12.0 1
0.3%
13.0 2
0.5%
14.0 1
0.3%
15.0 1
0.3%
16.5 1
0.3%
18.0 2
0.5%
20.0 1
0.3%
21.56 1
0.3%
ValueCountFrequency (%)
16479.8 1
0.3%
3338.0 1
0.3%
3231.86 1
0.3%
3171.0 1
0.3%
3147.86 1
0.3%
3116.9 1
0.3%
3003.5 1
0.3%
3001.5 1
0.3%
2932.0 1
0.3%
2880.0 1
0.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2022-11-11 00:00:00
Maximum2022-11-11 00:00:00
2023-12-13T06:01:34.863140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:34.969390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T06:01:30.781257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:29.954245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:30.224521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:30.864320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:30.029856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:30.328784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:30.971216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:30.122400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:30.419813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:01:35.069687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록축종사육두수동수면적
등록축종1.0000.7750.6090.428
사육두수0.7751.0000.7360.496
동수0.6090.7361.0000.713
면적0.4280.4960.7131.000
2023-12-13T06:01:35.198538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수동수면적등록축종
사육두수1.0000.5800.6360.486
동수0.5801.0000.6020.330
면적0.6360.6021.0000.228
등록축종0.4860.3300.2281.000

Missing values

2023-12-13T06:01:31.101636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:01:31.237166image/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

사업장명칭등록축종사업장소재지(지번)사업장소재지(도로명)사육두수동수면적데이터기준일자
0참샘 농원한우강원도 강릉시 주문진읍 향호리 1562번지 외 1필지강원도 강릉시 주문진읍 참샘길 149-14312678.262022-11-11
1바리봉 농장한우강원도 강릉시 주문진읍 향호리 511번지 6호 외 1필지강원도 강릉시 주문진읍 참샘길 149-95 (외 1필지)221198.02022-11-11
2향호목장한우강원도 강릉시 주문진읍 향호리 862번지<NA>472633.152022-11-11
3향호농장한우강원도 강릉시 주문진읍 향호리 511번지 8호강원도 강릉시 주문진읍 참샘길 149-95532400.02022-11-11
4모솔양계종계/산란계강원도 강릉시 지변동 372번지 1호강원도 강릉시 지변길 155 (지변동)119001765.02022-11-11
5민아농장한우강원도 강릉시 두산동 12번지<NA>7311000.02022-11-11
6창영한우강원도 강릉시 연곡면 동덕리 106번지 2호<NA>502522.02022-11-11
7남각농장한우강원도 강릉시 연곡면 동덕리 1504번지강원도 강릉시 연곡면 남평길 44-101181700.02022-11-11
8남평축사한우강원도 강릉시 연곡면 동덕리 1435번지<NA>6352336.492022-11-11
9네이쳐 홀릭 팜한우강원도 강릉시 연곡면 동덕리 1412번지 외 1필지강원도 강릉시 연곡면 남평길 74-26392848.142022-11-11
사업장명칭등록축종사업장소재지(지번)사업장소재지(도로명)사육두수동수면적데이터기준일자
387수목원목장한우강원도 강릉시 구정면 여찬리 657번지 9호<NA>271407.42022-11-11
388덕현농장한우강원도 강릉시 담산동 584번지<NA>301377.02022-11-11
389향호농장염소강원도 강릉시 주문진읍 향호리 459번지 6호<NA>1001301.952022-11-11
390김병수한우강원도 강릉시 성산면 오봉리 258번지 1호<NA>7136.02022-11-11
391향호목장한우강원도 강릉시 주문진읍 향호리 511번지 10호강원도 강릉시 주문진읍 참샘길 149-95402579.922022-11-11
392산막골 농장한우강원도 강릉시 주문진읍 향호리 819번지 1호강원도 강릉시 주문진읍 거문동길 298-41301437.12022-11-11
393지혜목장한우강원도 강릉시 구정면 금광리 1401번지<NA>7149.02022-11-11
394강릉 쌍둥이 동물농장한우, 육우강원도 강릉시 옥계면 천남리 383번지<NA>5240.02022-11-11
395어단농원한우강원도 강릉시 구정면 어단리 862번지 4호강원도 강릉시 구정면 구정둔지길 29-136148.02022-11-11
396백광열<NA>강원도 강릉시 연곡면 동덕리 1629번지강원도 강릉시 연곡면 해안로 120901448.02022-11-11