Overview

Dataset statistics

Number of variables8
Number of observations137
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory68.0 B

Variable types

Categorical6
Numeric2

Dataset

Description제주특별자치도 내에 소재하고 있는 축종별 농업경영체정보중 농업인에 대한 경영체수와 사육규모에 대한 현황 데이터를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15097064/fileData.do

Alerts

시도명 has constant value ""Constant
경영체구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 13:44:35.600432
Analysis finished2023-12-12 13:44:36.398568
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
제주특별자치도
137 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도 137
100.0%

Length

2023-12-12T22:44:36.472501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:44:36.569359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 137
100.0%

시군구명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
제주시
79 
서귀포시
58 

Length

Max length4
Median length3
Mean length3.4233577
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 79
57.7%
서귀포시 58
42.3%

Length

2023-12-12T22:44:36.675436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:44:36.771911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 79
57.7%
서귀포시 58
42.3%

축종명
Categorical

Distinct21
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
 
8
산양
 
8
 
8
돼지
 
8
 
8
Other values (16)
97 

Length

Max length3
Median length2
Mean length1.9635036
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row
2nd row거위
3rd row관상조
4th row
5th row당나귀

Common Values

ValueCountFrequency (%)
8
 
5.8%
산양 8
 
5.8%
8
 
5.8%
돼지 8
 
5.8%
8
 
5.8%
사슴 8
 
5.8%
산란계 8
 
5.8%
8
 
5.8%
오리 8
 
5.8%
육계 8
 
5.8%
Other values (11) 57
41.6%

Length

2023-12-12T22:44:36.897623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
8
 
5.8%
8
 
5.8%
한우 8
 
5.8%
젖소 8
 
5.8%
산양 8
 
5.8%
육계 8
 
5.8%
오리 8
 
5.8%
육우 8
 
5.8%
산란계 8
 
5.8%
사슴 8
 
5.8%
Other values (11) 57
41.6%

연도
Categorical

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2017
35 
2020
35 
2018
34 
2019
33 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2017 35
25.5%
2020 35
25.5%
2018 34
24.8%
2019 33
24.1%

Length

2023-12-12T22:44:37.075801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:44:37.207155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 35
25.5%
2020 35
25.5%
2018 34
24.8%
2019 33
24.1%

경영체구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
농업인
137 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농업인 137
100.0%

Length

2023-12-12T22:44:37.327037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:44:37.448677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농업인 137
100.0%

경영체수
Real number (ℝ)

Distinct68
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.328467
Minimum1
Maximum582
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T22:44:37.573459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median12
Q376
95-th percentile390.6
Maximum582
Range581
Interquartile range (IQR)73

Descriptive statistics

Standard deviation132.47026
Coefficient of variation (CV)1.6698956
Kurtosis4.0591107
Mean79.328467
Median Absolute Deviation (MAD)11
Skewness2.139447
Sum10868
Variance17548.369
MonotonicityNot monotonic
2023-12-12T22:44:37.752199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 19
 
13.9%
2 14
 
10.2%
3 9
 
6.6%
4 5
 
3.6%
9 4
 
2.9%
10 4
 
2.9%
5 3
 
2.2%
6 3
 
2.2%
18 3
 
2.2%
20 3
 
2.2%
Other values (58) 70
51.1%
ValueCountFrequency (%)
1 19
13.9%
2 14
10.2%
3 9
6.6%
4 5
 
3.6%
5 3
 
2.2%
6 3
 
2.2%
7 1
 
0.7%
8 2
 
1.5%
9 4
 
2.9%
10 4
 
2.9%
ValueCountFrequency (%)
582 1
0.7%
553 1
0.7%
549 1
0.7%
511 1
0.7%
451 1
0.7%
437 1
0.7%
433 1
0.7%
380 1
0.7%
366 1
0.7%
349 1
0.7%

사육규모
Real number (ℝ)

Distinct117
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110012.34
Minimum2
Maximum2205854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T22:44:38.024870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7.4
Q1395
median5028
Q333076
95-th percentile524932
Maximum2205854
Range2205852
Interquartile range (IQR)32681

Descriptive statistics

Standard deviation347637.75
Coefficient of variation (CV)3.1599886
Kurtosis25.570695
Mean110012.34
Median Absolute Deviation (MAD)5020
Skewness4.8972755
Sum15071691
Variance1.2085201 × 1011
MonotonicityNot monotonic
2023-12-12T22:44:38.180334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000 4
 
2.9%
100 3
 
2.2%
11550 3
 
2.2%
800 3
 
2.2%
8000 3
 
2.2%
30 2
 
1.5%
50 2
 
1.5%
617 2
 
1.5%
3 2
 
1.5%
59 2
 
1.5%
Other values (107) 111
81.0%
ValueCountFrequency (%)
2 2
1.5%
3 2
1.5%
4 1
0.7%
5 2
1.5%
8 1
0.7%
15 1
0.7%
20 1
0.7%
30 2
1.5%
45 1
0.7%
50 2
1.5%
ValueCountFrequency (%)
2205854 1
0.7%
2152064 1
0.7%
2103316 1
0.7%
1256958 1
0.7%
554345 1
0.7%
553275 1
0.7%
543360 1
0.7%
520325 1
0.7%
519790 1
0.7%
469190 2
1.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2021-12-21
137 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-12-21
2nd row2021-12-21
3rd row2021-12-21
4th row2021-12-21
5th row2021-12-21

Common Values

ValueCountFrequency (%)
2021-12-21 137
100.0%

Length

2023-12-12T22:44:38.582570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:44:38.679315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-21 137
100.0%

Interactions

2023-12-12T22:44:35.993301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:44:35.820824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:44:36.080457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:44:35.909629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:44:38.736626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명축종명연도경영체수사육규모
시군구명1.0000.0000.0000.1950.133
축종명0.0001.0000.0000.8080.734
연도0.0000.0001.0000.0000.000
경영체수0.1950.8080.0001.0000.226
사육규모0.1330.7340.0000.2261.000
2023-12-12T22:44:38.833723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명축종명연도
시군구명1.0000.0000.000
축종명0.0001.0000.000
연도0.0000.0001.000
2023-12-12T22:44:38.934922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경영체수사육규모시군구명축종명연도
경영체수1.0000.4640.1430.4380.000
사육규모0.4641.0000.1600.4400.000
시군구명0.1430.1601.0000.0000.000
축종명0.4380.4400.0001.0000.000
연도0.0000.0000.0000.0001.000

Missing values

2023-12-12T22:44:36.191936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:44:36.328989image/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

시도명시군구명축종명연도경영체구분경영체수사육규모데이터기준일자
0제주특별자치도제주시2017농업인50170462021-12-21
1제주특별자치도제주시거위2017농업인122021-12-21
2제주특별자치도제주시관상조2017농업인66912021-12-21
3제주특별자치도제주시2017농업인3115502021-12-21
4제주특별자치도제주시당나귀2017농업인382021-12-21
5제주특별자치도제주시돼지2017농업인1643315132021-12-21
6제주특별자치도제주시2017농업인511109162021-12-21
7제주특별자치도제주시메추리2017농업인11000002021-12-21
8제주특별자치도제주시면양2017농업인41452021-12-21
9제주특별자치도제주시2017농업인186265222021-12-21
시도명시군구명축종명연도경영체구분경영체수사육규모데이터기준일자
127제주특별자치도서귀포시2020농업인252392262021-12-21
128제주특별자치도서귀포시사슴2020농업인1502021-12-21
129제주특별자치도서귀포시산란계2020농업인5505602021-12-21
130제주특별자치도서귀포시산양2020농업인1150282021-12-21
131제주특별자치도서귀포시오리2020농업인17002021-12-21
132제주특별자치도서귀포시오소리2020농업인21742021-12-21
133제주특별자치도서귀포시육계2020농업인185543452021-12-21
134제주특별자치도서귀포시육우2020농업인76702021-12-21
135제주특별자치도서귀포시젖소2020농업인101722021-12-21
136제주특별자치도서귀포시한우2020농업인340132212021-12-21