Overview

Dataset statistics

Number of variables5
Number of observations857
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.4 KiB
Average record size in memory41.2 B

Variable types

Text2
Categorical2
Numeric1

Dataset

Description경상북도 봉화군 축산현황 및 가금류 농가현황(농장명, 축종, 사육수, 소재지지번주소, 데이터기준일자)를 제공합니다.
Author경상북도 봉화군
URLhttps://www.data.go.kr/data/15034403/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
축종 is highly imbalanced (77.2%)Imbalance
사육수 has 109 (12.7%) zerosZeros

Reproduction

Analysis started2023-12-12 04:30:47.147401
Analysis finished2023-12-12 04:30:48.044317
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

농장명
Text

Distinct806
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2023-12-12T13:30:48.346494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length5
Mean length4.8459743
Min length2

Characters and Unicode

Total characters4153
Distinct characters312
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique763 ?
Unique (%)89.0%

Sample

1st row알찬농장
2nd row만곡농장
3rd row덕산농장
4th row영남농장
5th row흥진농장
ValueCountFrequency (%)
농장 36
 
3.9%
우리농장 4
 
0.4%
토일농장 4
 
0.4%
농업회사법인 4
 
0.4%
행복농장 4
 
0.4%
성민 3
 
0.3%
제2농장 3
 
0.3%
만석농장 3
 
0.3%
호일농장 3
 
0.3%
푸른농장 2
 
0.2%
Other values (807) 848
92.8%
2023-12-12T13:30:49.057097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 818
19.7%
장 815
19.6%
김 105
 
2.5%
이 65
 
1.6%
57
 
1.4%
우 54
 
1.3%
정 51
 
1.2%
영 51
 
1.2%
성 51
 
1.2%
원 49
 
1.2%
Other values (302) 2037
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4029
97.0%
Space Separator 57
 
1.4%
Decimal Number 39
 
0.9%
Close Punctuation 10
 
0.2%
Open Punctuation 10
 
0.2%
Lowercase Letter 7
 
0.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 818
20.3%
장 815
20.2%
김 105
 
2.6%
이 65
 
1.6%
우 54
 
1.3%
정 51
 
1.3%
영 51
 
1.3%
성 51
 
1.3%
원 49
 
1.2%
박 48
 
1.2%
Other values (284) 1922
47.7%
Decimal Number
ValueCountFrequency (%)
2 18
46.2%
1 12
30.8%
3 4
 
10.3%
0 2
 
5.1%
5 1
 
2.6%
6 1
 
2.6%
4 1
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
g 1
14.3%
n 1
14.3%
i 1
14.3%
p 1
14.3%
m 1
14.3%
r 1
14.3%
a 1
14.3%
Space Separator
ValueCountFrequency (%)
57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4028
97.0%
Common 116
 
2.8%
Latin 8
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 818
20.3%
장 815
20.2%
김 105
 
2.6%
이 65
 
1.6%
우 54
 
1.3%
정 51
 
1.3%
영 51
 
1.3%
성 51
 
1.3%
원 49
 
1.2%
박 48
 
1.2%
Other values (283) 1921
47.7%
Common
ValueCountFrequency (%)
57
49.1%
2 18
 
15.5%
1 12
 
10.3%
) 10
 
8.6%
( 10
 
8.6%
3 4
 
3.4%
0 2
 
1.7%
5 1
 
0.9%
6 1
 
0.9%
4 1
 
0.9%
Latin
ValueCountFrequency (%)
g 1
12.5%
n 1
12.5%
i 1
12.5%
p 1
12.5%
m 1
12.5%
r 1
12.5%
a 1
12.5%
F 1
12.5%
Han
ValueCountFrequency (%)
孝 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4028
97.0%
ASCII 124
 
3.0%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 818
20.3%
장 815
20.2%
김 105
 
2.6%
이 65
 
1.6%
우 54
 
1.3%
정 51
 
1.3%
영 51
 
1.3%
성 51
 
1.3%
원 49
 
1.2%
박 48
 
1.2%
Other values (283) 1921
47.7%
ASCII
ValueCountFrequency (%)
57
46.0%
2 18
 
14.5%
1 12
 
9.7%
) 10
 
8.1%
( 10
 
8.1%
3 4
 
3.2%
0 2
 
1.6%
g 1
 
0.8%
n 1
 
0.8%
i 1
 
0.8%
Other values (8) 8
 
6.5%
CJK
ValueCountFrequency (%)
孝 1
100.0%

축종
Categorical

IMBALANCE 

Distinct10
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
한우
768 
돼지
 
25
종계/산란계
 
17
산양
 
16
육계
 
14
Other values (5)
 
17

Length

Max length6
Median length2
Mean length2.0781797
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
한우 768
89.6%
돼지 25
 
2.9%
종계/산란계 17
 
2.0%
산양 16
 
1.9%
육계 14
 
1.6%
염소 9
 
1.1%
오리 3
 
0.4%
젖소 2
 
0.2%
육우 2
 
0.2%
꿩 1
 
0.1%

Length

2023-12-12T13:30:49.360622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:30:49.685264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 768
89.6%
돼지 25
 
2.9%
종계/산란계 17
 
2.0%
산양 16
 
1.9%
육계 14
 
1.6%
염소 9
 
1.1%
오리 3
 
0.4%
젖소 2
 
0.2%
육우 2
 
0.2%
꿩 1
 
0.1%

소재지지번주소
Text

Distinct851
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2023-12-12T13:30:50.443413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length83
Mean length27.89965
Min length4

Characters and Unicode

Total characters23910
Distinct characters106
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

Unique846 ?
Unique (%)98.7%

Sample

1st row경상북도 봉화군 봉화읍 도촌리 551번지 12호
2nd row경상북도 봉화군 봉화읍 해저리 1011번지 ,1011-7,1012-3,1012-4,1012-5
3rd row경상북도 봉화군 봉화읍 화천리 67번지
4th row경상북도 봉화군 봉화읍 문단리 432번지 외 8필지(431, 432-1, 432-2, 432-3, 433,433-1, 433-2, 1205-22)
5th row경상북도 봉화군 법전면 소지리 114번지 4호
ValueCountFrequency (%)
경상북도 854
 
17.1%
봉화군 854
 
17.1%
봉화읍 244
 
4.9%
1호 147
 
2.9%
물야면 139
 
2.8%
상운면 138
 
2.8%
법전면 118
 
2.4%
2호 92
 
1.8%
외 79
 
1.6%
춘양면 75
 
1.5%
Other values (903) 2264
45.2%
2023-12-12T13:30:51.425124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5685
23.8%
봉 1158
 
4.8%
화 1117
 
4.7%
상 996
 
4.2%
지 988
 
4.1%
도 935
 
3.9%
북 882
 
3.7%
리 855
 
3.6%
군 854
 
3.6%
경 854
 
3.6%
Other values (96) 9586
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13487
56.4%
Space Separator 5685
23.8%
Decimal Number 4178
 
17.5%
Dash Punctuation 234
 
1.0%
Other Punctuation 211
 
0.9%
Open Punctuation 58
 
0.2%
Close Punctuation 57
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 1158
 
8.6%
화 1117
 
8.3%
상 996
 
7.4%
지 988
 
7.3%
도 935
 
6.9%
북 882
 
6.5%
리 855
 
6.3%
군 854
 
6.3%
경 854
 
6.3%
번 849
 
6.3%
Other values (81) 3999
29.7%
Decimal Number
ValueCountFrequency (%)
1 820
19.6%
2 541
12.9%
3 452
10.8%
4 398
9.5%
5 395
9.5%
7 360
8.6%
6 351
8.4%
8 318
 
7.6%
0 276
 
6.6%
9 267
 
6.4%
Space Separator
ValueCountFrequency (%)
5685
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 234
100.0%
Other Punctuation
ValueCountFrequency (%)
, 211
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13487
56.4%
Common 10423
43.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 1158
 
8.6%
화 1117
 
8.3%
상 996
 
7.4%
지 988
 
7.3%
도 935
 
6.9%
북 882
 
6.5%
리 855
 
6.3%
군 854
 
6.3%
경 854
 
6.3%
번 849
 
6.3%
Other values (81) 3999
29.7%
Common
ValueCountFrequency (%)
5685
54.5%
1 820
 
7.9%
2 541
 
5.2%
3 452
 
4.3%
4 398
 
3.8%
5 395
 
3.8%
7 360
 
3.5%
6 351
 
3.4%
8 318
 
3.1%
0 276
 
2.6%
Other values (5) 827
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13487
56.4%
ASCII 10423
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5685
54.5%
1 820
 
7.9%
2 541
 
5.2%
3 452
 
4.3%
4 398
 
3.8%
5 395
 
3.8%
7 360
 
3.5%
6 351
 
3.4%
8 318
 
3.1%
0 276
 
2.6%
Other values (5) 827
 
7.9%
Hangul
ValueCountFrequency (%)
봉 1158
 
8.6%
화 1117
 
8.3%
상 996
 
7.4%
지 988
 
7.3%
도 935
 
6.9%
북 882
 
6.5%
리 855
 
6.3%
군 854
 
6.3%
경 854
 
6.3%
번 849
 
6.3%
Other values (81) 3999
29.7%

사육수
Real number (ℝ)

ZEROS 

Distinct136
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3125.6138
Minimum0
Maximum400000
Zeros109
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2023-12-12T13:30:51.789718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median15
Q340
95-th percentile520
Maximum400000
Range400000
Interquartile range (IQR)35

Descriptive statistics

Standard deviation24645.663
Coefficient of variation (CV)7.8850636
Kurtosis135.91354
Mean3125.6138
Median Absolute Deviation (MAD)13
Skewness10.959656
Sum2678651
Variance6.0740873 × 108
MonotonicityNot monotonic
2023-12-12T13:30:52.081436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
12.7%
6 34
 
4.0%
10 33
 
3.9%
20 32
 
3.7%
5 28
 
3.3%
30 27
 
3.2%
2 27
 
3.2%
1 24
 
2.8%
3 24
 
2.8%
15 23
 
2.7%
Other values (126) 496
57.9%
ValueCountFrequency (%)
0 109
12.7%
1 24
 
2.8%
2 27
 
3.2%
3 24
 
2.8%
4 22
 
2.6%
5 28
 
3.3%
6 34
 
4.0%
7 14
 
1.6%
8 18
 
2.1%
9 22
 
2.6%
ValueCountFrequency (%)
400000 1
 
0.1%
280000 2
0.2%
240000 1
 
0.1%
210000 1
 
0.1%
192000 1
 
0.1%
160000 1
 
0.1%
80000 1
 
0.1%
70000 2
0.2%
65000 1
 
0.1%
60000 3
0.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.8 KiB
2023-11-06
857 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-06
2nd row2023-11-06
3rd row2023-11-06
4th row2023-11-06
5th row2023-11-06

Common Values

ValueCountFrequency (%)
2023-11-06 857
100.0%

Length

2023-12-12T13:30:52.318225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:30:52.453806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-06 857
100.0%

Interactions

2023-12-12T13:30:47.576659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:30:52.545433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종사육수
축종1.0000.593
사육수0.5931.000
2023-12-12T13:30:52.650935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육수축종
사육수1.0000.351
축종0.3511.000

Missing values

2023-12-12T13:30:47.834707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:30:47.982690image/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

농장명축종소재지지번주소사육수데이터기준일자
0알찬농장한우경상북도 봉화군 봉화읍 도촌리 551번지 12호602023-11-06
1만곡농장한우경상북도 봉화군 봉화읍 해저리 1011번지 ,1011-7,1012-3,1012-4,1012-5902023-11-06
2덕산농장한우경상북도 봉화군 봉화읍 화천리 67번지92023-11-06
3영남농장한우경상북도 봉화군 봉화읍 문단리 432번지 외 8필지(431, 432-1, 432-2, 432-3, 433,433-1, 433-2, 1205-22)02023-11-06
4흥진농장한우경상북도 봉화군 법전면 소지리 114번지 4호1202023-11-06
5박정락농장한우경상북도 봉화군 법전면 소지리 77번지 5호 ,77,77-7402023-11-06
6강문구농장한우경상북도 봉화군 법전면 법전리 223번지 ,221번지302023-11-06
7동화농장한우경상북도 봉화군 법전면 소지리 84번지1202023-11-06
8박범택농장한우경상북도 봉화군 봉화읍 화천리 439번지 5호 외 1필지(439-7)302023-11-06
9우림농장한우경상북도 봉화군 봉화읍 도촌리 127번지 9호 126,127-11,127-121002023-11-06
농장명축종소재지지번주소사육수데이터기준일자
847보송농장돼지경상북도 봉화군 봉화읍 석평리 1105번지 1호7002023-11-06
848명호농장돼지경상북도 봉화군 명호면 양곡리 552번지 , 554번지5002023-11-06
849풍년축산돼지경상북도 봉화군 봉화읍 도촌리 526번지 ,526-1,652-168002023-11-06
850하하농장축사돼지경상북도 봉화군 봉성면 봉양리 1574번지802023-11-06
851동아2농장돼지경상북도 봉화군 봉화읍 문단리 533번지 번지 외 14필지(533-2,533-3,535,535-2,664-1,664-3,661-1,667-2,535-02023-11-06
852돈드림돼지경상북도 봉화군 봉화읍 도촌리 547번지 1호02023-11-06
853농업회사법인 봉화1농장(주)돼지경상북도 봉화군 봉화읍 도촌리 566번지 8호02023-11-06
854신봉화2농장(주)돼지경상북도 봉화군 봉화읍 도촌리 566번지 9호02023-11-06
855농업회사법인 도촌3농장 주식회사돼지경상북도 봉화군 봉화읍 도촌리 554번지 10호02023-11-06
856대성꿩농장꿩경상북도 봉화군 상운면 가곡리 21번지 3호15002023-11-06