Overview

Dataset statistics

Number of variables5
Number of observations212
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.6 KiB
Average record size in memory41.6 B

Variable types

Text2
Categorical2
Numeric1

Dataset

Description충청북도 증평군의 소(한우, 육우 및 젖소) 사육농가현황에 대한 정보로 농가명칭, 사업장 소재지(지번, 도로명), 사육두수 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15048683/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
주사육업종 is highly imbalanced (84.1%)Imbalance
사육두수 has 11 (5.2%) zerosZeros

Reproduction

Analysis started2023-12-12 10:59:56.093864
Analysis finished2023-12-12 10:59:57.385660
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명칭
Text

Distinct196
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T19:59:57.750736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.1933962
Min length3

Characters and Unicode

Total characters889
Distinct characters169
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique180 ?
Unique (%)84.9%

Sample

1st row김재은축사
2nd row이종권축사
3rd row신영인 축사
4th row승봉축사
5th row용강농장
ValueCountFrequency (%)
한영농장 3
 
1.4%
심우농장 2
 
0.9%
철규농장 2
 
0.9%
방곡농장 2
 
0.9%
입장농장 2
 
0.9%
삼보농장 2
 
0.9%
재원농장 2
 
0.9%
우주농장 2
 
0.9%
학기농장 2
 
0.9%
대창농장 2
 
0.9%
Other values (192) 199
90.5%
2023-12-12T19:59:58.453741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 199
22.4%
농 180
20.2%
영 15
 
1.7%
목 15
 
1.7%
사 12
 
1.3%
축 11
 
1.2%
한 11
 
1.2%
진 10
 
1.1%
수 10
 
1.1%
원 10
 
1.1%
Other values (159) 416
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 875
98.4%
Space Separator 8
 
0.9%
Uppercase Letter 4
 
0.4%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 199
22.7%
농 180
20.6%
영 15
 
1.7%
목 15
 
1.7%
사 12
 
1.4%
축 11
 
1.3%
한 11
 
1.3%
진 10
 
1.1%
수 10
 
1.1%
원 10
 
1.1%
Other values (152) 402
45.9%
Uppercase Letter
ValueCountFrequency (%)
S 1
25.0%
R 1
25.0%
K 1
25.0%
O 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 875
98.4%
Common 10
 
1.1%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 199
22.7%
농 180
20.6%
영 15
 
1.7%
목 15
 
1.7%
사 12
 
1.4%
축 11
 
1.3%
한 11
 
1.3%
진 10
 
1.1%
수 10
 
1.1%
원 10
 
1.1%
Other values (152) 402
45.9%
Latin
ValueCountFrequency (%)
S 1
25.0%
R 1
25.0%
K 1
25.0%
O 1
25.0%
Common
ValueCountFrequency (%)
8
80.0%
2 1
 
10.0%
4 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 875
98.4%
ASCII 14
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 199
22.7%
농 180
20.6%
영 15
 
1.7%
목 15
 
1.7%
사 12
 
1.4%
축 11
 
1.3%
한 11
 
1.3%
진 10
 
1.1%
수 10
 
1.1%
원 10
 
1.1%
Other values (152) 402
45.9%
ASCII
ValueCountFrequency (%)
8
57.1%
2 1
 
7.1%
S 1
 
7.1%
R 1
 
7.1%
K 1
 
7.1%
O 1
 
7.1%
4 1
 
7.1%

주사육업종
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
한우
204 
젖소
 
7
육우
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
한우 204
96.2%
젖소 7
 
3.3%
육우 1
 
0.5%

Length

2023-12-12T19:59:58.677224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:59:58.861472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 204
96.2%
젖소 7
 
3.3%
육우 1
 
0.5%

사업장소재지
Text

Distinct210
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T19:59:59.323284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length39
Mean length24.646226
Min length18

Characters and Unicode

Total characters5225
Distinct characters91
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

Unique208 ?
Unique (%)98.1%

Sample

1st row충청북도 증평군 증평읍 남하리 595번지 2호
2nd row충청북도 증평군 증평읍 연탄리 148번지 1호
3rd row충청북도 증평군 증평읍 덕상리 45번지 2호
4th row충청북도 증평군 도안면 송정리 393번지 외 2필지(322,394-3)
5th row충청북도 증평군 증평읍 용강리 356번지 4,5,6
ValueCountFrequency (%)
충청북도 212
18.5%
증평군 212
18.5%
도안면 112
 
9.7%
증평읍 100
 
8.7%
석곡리 33
 
2.9%
1호 27
 
2.3%
송정리 25
 
2.2%
2호 19
 
1.7%
용강리 18
 
1.6%
광덕리 12
 
1.0%
Other values (264) 379
33.0%
2023-12-12T20:00:00.070619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1248
23.9%
도 331
 
6.3%
증 316
 
6.0%
평 316
 
6.0%
충 212
 
4.1%
북 212
 
4.1%
군 212
 
4.1%
청 212
 
4.1%
지 167
 
3.2%
리 164
 
3.1%
Other values (81) 1835
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3173
60.7%
Space Separator 1248
 
23.9%
Decimal Number 757
 
14.5%
Dash Punctuation 35
 
0.7%
Other Punctuation 8
 
0.2%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 331
 
10.4%
증 316
 
10.0%
평 316
 
10.0%
충 212
 
6.7%
북 212
 
6.7%
군 212
 
6.7%
청 212
 
6.7%
지 167
 
5.3%
리 164
 
5.2%
번 164
 
5.2%
Other values (66) 867
27.3%
Decimal Number
ValueCountFrequency (%)
1 143
18.9%
3 112
14.8%
2 88
11.6%
4 82
10.8%
5 75
9.9%
6 60
7.9%
7 55
 
7.3%
9 55
 
7.3%
8 44
 
5.8%
0 43
 
5.7%
Space Separator
ValueCountFrequency (%)
1248
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3173
60.7%
Common 2052
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 331
 
10.4%
증 316
 
10.0%
평 316
 
10.0%
충 212
 
6.7%
북 212
 
6.7%
군 212
 
6.7%
청 212
 
6.7%
지 167
 
5.3%
리 164
 
5.2%
번 164
 
5.2%
Other values (66) 867
27.3%
Common
ValueCountFrequency (%)
1248
60.8%
1 143
 
7.0%
3 112
 
5.5%
2 88
 
4.3%
4 82
 
4.0%
5 75
 
3.7%
6 60
 
2.9%
7 55
 
2.7%
9 55
 
2.7%
8 44
 
2.1%
Other values (5) 90
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3173
60.7%
ASCII 2052
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1248
60.8%
1 143
 
7.0%
3 112
 
5.5%
2 88
 
4.3%
4 82
 
4.0%
5 75
 
3.7%
6 60
 
2.9%
7 55
 
2.7%
9 55
 
2.7%
8 44
 
2.1%
Other values (5) 90
 
4.4%
Hangul
ValueCountFrequency (%)
도 331
 
10.4%
증 316
 
10.0%
평 316
 
10.0%
충 212
 
6.7%
북 212
 
6.7%
군 212
 
6.7%
청 212
 
6.7%
지 167
 
5.3%
리 164
 
5.2%
번 164
 
5.2%
Other values (66) 867
27.3%

사육두수
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.061321
Minimum0
Maximum198
Zeros11
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T20:00:00.353412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q15
median11
Q329.25
95-th percentile65.45
Maximum198
Range198
Interquartile range (IQR)24.25

Descriptive statistics

Standard deviation28.123812
Coefficient of variation (CV)1.2748018
Kurtosis12.638899
Mean22.061321
Median Absolute Deviation (MAD)8
Skewness2.9921916
Sum4677
Variance790.94883
MonotonicityNot monotonic
2023-12-12T20:00:00.641946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 16
 
7.5%
7 12
 
5.7%
8 11
 
5.2%
0 11
 
5.2%
4 10
 
4.7%
20 8
 
3.8%
2 8
 
3.8%
50 8
 
3.8%
1 8
 
3.8%
6 7
 
3.3%
Other values (47) 113
53.3%
ValueCountFrequency (%)
0 11
5.2%
1 8
3.8%
2 8
3.8%
3 6
 
2.8%
4 10
4.7%
5 16
7.5%
6 7
3.3%
7 12
5.7%
8 11
5.2%
9 5
 
2.4%
ValueCountFrequency (%)
198 1
0.5%
167 1
0.5%
164 1
0.5%
120 1
0.5%
89 1
0.5%
81 1
0.5%
80 1
0.5%
79 1
0.5%
70 2
0.9%
66 1
0.5%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-06-19
212 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-19
2nd row2023-06-19
3rd row2023-06-19
4th row2023-06-19
5th row2023-06-19

Common Values

ValueCountFrequency (%)
2023-06-19 212
100.0%

Length

2023-12-12T20:00:00.923393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:00:01.122265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-19 212
100.0%

Interactions

2023-12-12T19:59:56.419130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:00:01.241504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주사육업종사육두수
주사육업종1.0000.233
사육두수0.2331.000
2023-12-12T20:00:01.408207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수주사육업종
사육두수1.0000.149
주사육업종0.1491.000

Missing values

2023-12-12T19:59:57.163288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:59:57.317385image/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

사업장명칭주사육업종사업장소재지사육두수데이터 기준일자
0김재은축사한우충청북도 증평군 증평읍 남하리 595번지 2호472023-06-19
1이종권축사한우충청북도 증평군 증평읍 연탄리 148번지 1호02023-06-19
2신영인 축사한우충청북도 증평군 증평읍 덕상리 45번지 2호52023-06-19
3승봉축사한우충청북도 증평군 도안면 송정리 393번지 외 2필지(322,394-3)452023-06-19
4용강농장한우충청북도 증평군 증평읍 용강리 356번지 4,5,6702023-06-19
5새마을농장한우충청북도 증평군 증평읍 증천리 1346번지502023-06-19
6기호농장한우충청북도 증평군 증평읍 초중리 201번지502023-06-19
7탑동농장한우충청북도 증평군 증평읍 남하리 713번지182023-06-19
8이슬농장한우충청북도 증평군 증평읍 덕상리 376번지 1호42023-06-19
9일신농장한우충청북도 증평군 증평읍 연탄리 184번지502023-06-19
사업장명칭주사육업종사업장소재지사육두수데이터 기준일자
202연승열농장한우충청북도 증평군 증평읍 미암리 294번지 1호 천태사22023-06-19
203한영농장 다동한우충청북도 증평군 증평읍 용강리 962번지252023-06-19
204덕일농장육우충청북도 증평군 도안면 송정리 89362023-06-19
205샘터농장젖소충청북도 증평군 증평읍 연탄리 172번지 2호602023-06-19
206후창목장젖소충청북도 증평군 도안면 송정리 432번지292023-06-19
207통미목장젖소충청북도 증평군 도안면 송정리 397번지 1호1642023-06-19
208한수목장젖소충청북도 증평군 도안면 도당리 80번지02023-06-19
209노암목장젖소충청북도 증평군 도안면 노암리 499번지502023-06-19
210학사농장젖소충청북도 증평군 도안면 송정리 146번지 14호82023-06-19
211에덴목장젖소충청북도 증평군 도안면 송정리 146번지 12호552023-06-19