Overview

Dataset statistics

Number of variables8
Number of observations234
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.4 KiB
Average record size in memory67.6 B

Variable types

Categorical4
Text1
Numeric2
DateTime1

Dataset

Description제주특별자치도 시군 구/읍면동별 농업경영체에 대한 정보 중 농업인에 대한 경영체수와 사육규모에 대한 현황 데이터를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15097047/fileData.do

Alerts

시도명 has constant value ""Constant
경영체구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
경영체수 is highly overall correlated with 사육규모High correlation
사육규모 is highly overall correlated with 경영체수High correlation

Reproduction

Analysis started2023-12-12 20:55:23.555623
Analysis finished2023-12-12 20:55:24.450578
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
제주특별자치도
234 

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 234
100.0%

Length

2023-12-13T05:55:24.530477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:55:24.620178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 234
100.0%

시군구명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
제주시
139 
서귀포시
95 

Length

Max length4
Median length3
Mean length3.4059829
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 139
59.4%
서귀포시 95
40.6%

Length

2023-12-13T05:55:24.731865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:55:24.824662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 139
59.4%
서귀포시 95
40.6%

읍면동명
Text

Distinct65
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-13T05:55:25.058671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.2521368
Min length2

Characters and Unicode

Total characters761
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)1.7%

Sample

1st row건입동
2nd row구좌읍
3rd row내도동
4th row노형동
5th row도남동
ValueCountFrequency (%)
건입동 4
 
1.7%
하원동 4
 
1.7%
한림읍 4
 
1.7%
해안동 4
 
1.7%
화북이동 4
 
1.7%
호근동 4
 
1.7%
강정동 4
 
1.7%
표선면 4
 
1.7%
대정읍 4
 
1.7%
대포동 4
 
1.7%
Other values (55) 194
82.9%
2023-12-13T05:55:25.459469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 194
25.5%
이 44
 
5.8%
도 43
 
5.7%
읍 28
 
3.7%
일 28
 
3.7%
삼 18
 
2.4%
평 16
 
2.1%
면 16
 
2.1%
호 14
 
1.8%
라 13
 
1.7%
Other values (64) 347
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 761
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 194
25.5%
이 44
 
5.8%
도 43
 
5.7%
읍 28
 
3.7%
일 28
 
3.7%
삼 18
 
2.4%
평 16
 
2.1%
면 16
 
2.1%
호 14
 
1.8%
라 13
 
1.7%
Other values (64) 347
45.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 761
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 194
25.5%
이 44
 
5.8%
도 43
 
5.7%
읍 28
 
3.7%
일 28
 
3.7%
삼 18
 
2.4%
평 16
 
2.1%
면 16
 
2.1%
호 14
 
1.8%
라 13
 
1.7%
Other values (64) 347
45.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 761
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 194
25.5%
이 44
 
5.8%
도 43
 
5.7%
읍 28
 
3.7%
일 28
 
3.7%
삼 18
 
2.4%
평 16
 
2.1%
면 16
 
2.1%
호 14
 
1.8%
라 13
 
1.7%
Other values (64) 347
45.6%

연도
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2017
63 
2018
59 
2020
57 
2019
55 

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 63
26.9%
2018 59
25.2%
2020 57
24.4%
2019 55
23.5%

Length

2023-12-13T05:55:25.604194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:55:26.016912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 63
26.9%
2018 59
25.2%
2020 57
24.4%
2019 55
23.5%

경영체구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
농업인
234 

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 234
100.0%

Length

2023-12-13T05:55:26.121919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:55:26.209789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농업인 234
100.0%

경영체수
Real number (ℝ)

HIGH CORRELATION 

Distinct76
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.444444
Minimum1
Maximum428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T05:55:26.317714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median10
Q326
95-th percentile273.35
Maximum428
Range427
Interquartile range (IQR)21

Descriptive statistics

Standard deviation88.196371
Coefficient of variation (CV)1.8989649
Kurtosis6.4758465
Mean46.444444
Median Absolute Deviation (MAD)7.5
Skewness2.6211685
Sum10868
Variance7778.5999
MonotonicityNot monotonic
2023-12-13T05:55:26.460599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 23
 
9.8%
8 16
 
6.8%
2 16
 
6.8%
12 13
 
5.6%
6 12
 
5.1%
7 11
 
4.7%
3 11
 
4.7%
10 9
 
3.8%
5 8
 
3.4%
4 8
 
3.4%
Other values (66) 107
45.7%
ValueCountFrequency (%)
1 23
9.8%
2 16
6.8%
3 11
4.7%
4 8
 
3.4%
5 8
 
3.4%
6 12
5.1%
7 11
4.7%
8 16
6.8%
9 6
 
2.6%
10 9
 
3.8%
ValueCountFrequency (%)
428 1
0.4%
415 1
0.4%
410 1
0.4%
396 1
0.4%
380 1
0.4%
357 1
0.4%
343 1
0.4%
313 1
0.4%
292 2
0.9%
287 1
0.4%

사육규모
Real number (ℝ)

HIGH CORRELATION 

Distinct215
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64408.936
Minimum2
Maximum1549203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T05:55:26.607536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile20.65
Q1300
median1205.5
Q34626
95-th percentile432039.75
Maximum1549203
Range1549201
Interquartile range (IQR)4326

Descriptive statistics

Standard deviation221743.1
Coefficient of variation (CV)3.4427381
Kurtosis27.152383
Mean64408.936
Median Absolute Deviation (MAD)1092
Skewness4.97175
Sum15071691
Variance4.9170001 × 1010
MonotonicityNot monotonic
2023-12-13T05:55:26.798137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107 3
 
1.3%
2000 3
 
1.3%
15 3
 
1.3%
1516 2
 
0.9%
2 2
 
0.9%
26 2
 
0.9%
805 2
 
0.9%
2190 2
 
0.9%
24 2
 
0.9%
392 2
 
0.9%
Other values (205) 211
90.2%
ValueCountFrequency (%)
2 2
0.9%
4 2
0.9%
5 1
 
0.4%
10 1
 
0.4%
13 1
 
0.4%
15 3
1.3%
19 1
 
0.4%
20 1
 
0.4%
21 1
 
0.4%
24 2
0.9%
ValueCountFrequency (%)
1549203 1
0.4%
1514136 1
0.4%
1488333 1
0.4%
1303700 1
0.4%
728967 1
0.4%
728784 1
0.4%
670999 1
0.4%
600643 1
0.4%
595498 1
0.4%
565603 1
0.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2021-12-21 00:00:00
Maximum2021-12-21 00:00:00
2023-12-13T05:55:26.914988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:55:27.027904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T05:55:24.008559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:55:23.825444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:55:24.095474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:55:23.908337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:55:27.121588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명읍면동명연도경영체수사육규모
시군구명1.0001.0000.0000.4050.213
읍면동명1.0001.0000.0000.9190.953
연도0.0000.0001.0000.0000.000
경영체수0.4050.9190.0001.0000.873
사육규모0.2130.9530.0000.8731.000
2023-12-13T05:55:27.233394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명연도
시군구명1.0000.000
연도0.0001.000
2023-12-13T05:55:27.317887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경영체수사육규모시군구명연도
경영체수1.0000.8600.3060.000
사육규모0.8601.0000.2250.000
시군구명0.3060.2251.0000.000
연도0.0000.0000.0001.000

Missing values

2023-12-13T05:55:24.238909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:55:24.392908image/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

시도명시군구명읍면동명연도경영체구분경영체수사육규모데이터기준일자
0제주특별자치도제주시건입동2017농업인515162021-12-21
1제주특별자치도제주시구좌읍2017농업인2092091312021-12-21
2제주특별자치도제주시내도동2017농업인51112021-12-21
3제주특별자치도제주시노형동2017농업인3116112021-12-21
4제주특별자치도제주시도남동2017농업인93932021-12-21
5제주특별자치도제주시도두이동2017농업인21072021-12-21
6제주특별자치도제주시도련일동2017농업인137292021-12-21
7제주특별자치도제주시도평동2017농업인6962021-12-21
8제주특별자치도제주시봉개동2017농업인5120592021-12-21
9제주특별자치도제주시삼도이동2017농업인32872021-12-21
시도명시군구명읍면동명연도경영체구분경영체수사육규모데이터기준일자
224제주특별자치도서귀포시성산읍2020농업인1634050702021-12-21
225제주특별자치도서귀포시신효동2020농업인410902021-12-21
226제주특별자치도서귀포시안덕면2020농업인146123952021-12-21
227제주특별자치도서귀포시영남동2020농업인11802021-12-21
228제주특별자치도서귀포시중문동2020농업인2021902021-12-21
229제주특별자치도서귀포시토평동2020농업인2660682021-12-21
230제주특별자치도서귀포시표선면2020농업인172894382021-12-21
231제주특별자치도서귀포시하원동2020농업인1813752021-12-21
232제주특별자치도서귀포시호근동2020농업인914002021-12-21
233제주특별자치도서귀포시회수동2020농업인819702021-12-21