Overview

Dataset statistics

Number of variables5
Number of observations234
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory41.6 B

Variable types

Text2
Categorical2
Numeric1

Dataset

Description충청북도 증평군에 등록된 모든 축종에 대한 축산농가현황 대한 정보로써 증평군 축산농가에 대한 사업자명칭, 주사육업종, 사육두수, 기준일 등 관련된 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15048682/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
주사육업종 is highly imbalanced (66.7%)Imbalance
사육두수 has 11 (4.7%) zerosZeros

Reproduction

Analysis started2023-12-12 22:09:02.294408
Analysis finished2023-12-12 22:09:02.732515
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명칭
Text

Distinct217
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-13T07:09:02.910733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length4.2692308
Min length3

Characters and Unicode

Total characters999
Distinct characters185
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

Unique200 ?
Unique (%)85.5%

Sample

1st row김재은축사
2nd row이종권축사
3rd row신영인 축사
4th row승봉축사
5th row용강농장
ValueCountFrequency (%)
한영농장 3
 
1.2%
후창목장 2
 
0.8%
삼보농장 2
 
0.8%
방곡농장 2
 
0.8%
궁전농장 2
 
0.8%
철규농장 2
 
0.8%
우주농장 2
 
0.8%
석곡농장 2
 
0.8%
한우리농장 2
 
0.8%
대창농장 2
 
0.8%
Other values (214) 222
91.4%
2023-12-13T07:09:03.283607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 219
21.9%
농 201
20.1%
영 18
 
1.8%
목 15
 
1.5%
진 13
 
1.3%
축 12
 
1.2%
사 12
 
1.2%
한 11
 
1.1%
원 11
 
1.1%
우 11
 
1.1%
Other values (175) 476
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 984
98.5%
Space Separator 9
 
0.9%
Uppercase Letter 4
 
0.4%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 219
22.3%
농 201
20.4%
영 18
 
1.8%
목 15
 
1.5%
진 13
 
1.3%
축 12
 
1.2%
사 12
 
1.2%
한 11
 
1.1%
원 11
 
1.1%
우 11
 
1.1%
Other values (168) 461
46.8%
Uppercase Letter
ValueCountFrequency (%)
R 1
25.0%
S 1
25.0%
O 1
25.0%
K 1
25.0%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 984
98.5%
Common 11
 
1.1%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 219
22.3%
농 201
20.4%
영 18
 
1.8%
목 15
 
1.5%
진 13
 
1.3%
축 12
 
1.2%
사 12
 
1.2%
한 11
 
1.1%
원 11
 
1.1%
우 11
 
1.1%
Other values (168) 461
46.8%
Latin
ValueCountFrequency (%)
R 1
25.0%
S 1
25.0%
O 1
25.0%
K 1
25.0%
Common
ValueCountFrequency (%)
9
81.8%
4 1
 
9.1%
2 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 984
98.5%
ASCII 15
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 219
22.3%
농 201
20.4%
영 18
 
1.8%
목 15
 
1.5%
진 13
 
1.3%
축 12
 
1.2%
사 12
 
1.2%
한 11
 
1.1%
원 11
 
1.1%
우 11
 
1.1%
Other values (168) 461
46.8%
ASCII
ValueCountFrequency (%)
9
60.0%
R 1
 
6.7%
S 1
 
6.7%
4 1
 
6.7%
O 1
 
6.7%
2 1
 
6.7%
K 1
 
6.7%

주사육업종
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
한우
204 
돼지
 
11
닭
 
11
젖소
 
7
육우
 
1

Length

Max length2
Median length2
Mean length1.9529915
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
한우 204
87.2%
돼지 11
 
4.7%
닭 11
 
4.7%
젖소 7
 
3.0%
육우 1
 
0.4%

Length

2023-12-13T07:09:03.405478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:09:03.508980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 204
87.2%
돼지 11
 
4.7%
닭 11
 
4.7%
젖소 7
 
3.0%
육우 1
 
0.4%

사업장소재지
Text

Distinct231
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-13T07:09:03.766975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length24.65812
Min length18

Characters and Unicode

Total characters5770
Distinct characters92
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

Unique228 ?
Unique (%)97.4%

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 234
18.5%
증평군 234
18.5%
도안면 122
 
9.6%
증평읍 112
 
8.8%
석곡리 37
 
2.9%
1호 29
 
2.3%
송정리 27
 
2.1%
2호 22
 
1.7%
용강리 19
 
1.5%
연탄리 13
 
1.0%
Other values (285) 418
33.0%
2023-12-13T07:09:04.210043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1376
23.8%
도 363
 
6.3%
증 351
 
6.1%
평 350
 
6.1%
충 234
 
4.1%
북 234
 
4.1%
군 234
 
4.1%
청 234
 
4.1%
리 185
 
3.2%
지 184
 
3.2%
Other values (82) 2025
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3500
60.7%
Space Separator 1376
 
23.8%
Decimal Number 839
 
14.5%
Dash Punctuation 38
 
0.7%
Other Punctuation 13
 
0.2%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 363
 
10.4%
증 351
 
10.0%
평 350
 
10.0%
충 234
 
6.7%
북 234
 
6.7%
군 234
 
6.7%
청 234
 
6.7%
리 185
 
5.3%
지 184
 
5.3%
번 180
 
5.1%
Other values (67) 951
27.2%
Decimal Number
ValueCountFrequency (%)
1 157
18.7%
3 117
13.9%
2 97
11.6%
4 88
10.5%
5 86
10.3%
6 67
8.0%
7 61
 
7.3%
9 59
 
7.0%
8 57
 
6.8%
0 50
 
6.0%
Space Separator
ValueCountFrequency (%)
1376
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3500
60.7%
Common 2270
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 363
 
10.4%
증 351
 
10.0%
평 350
 
10.0%
충 234
 
6.7%
북 234
 
6.7%
군 234
 
6.7%
청 234
 
6.7%
리 185
 
5.3%
지 184
 
5.3%
번 180
 
5.1%
Other values (67) 951
27.2%
Common
ValueCountFrequency (%)
1376
60.6%
1 157
 
6.9%
3 117
 
5.2%
2 97
 
4.3%
4 88
 
3.9%
5 86
 
3.8%
6 67
 
3.0%
7 61
 
2.7%
9 59
 
2.6%
8 57
 
2.5%
Other values (5) 105
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3500
60.7%
ASCII 2270
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1376
60.6%
1 157
 
6.9%
3 117
 
5.2%
2 97
 
4.3%
4 88
 
3.9%
5 86
 
3.8%
6 67
 
3.0%
7 61
 
2.7%
9 59
 
2.6%
8 57
 
2.5%
Other values (5) 105
 
4.6%
Hangul
ValueCountFrequency (%)
도 363
 
10.4%
증 351
 
10.0%
평 350
 
10.0%
충 234
 
6.7%
북 234
 
6.7%
군 234
 
6.7%
청 234
 
6.7%
리 185
 
5.3%
지 184
 
5.3%
번 180
 
5.1%
Other values (67) 951
27.2%

사육두수
Real number (ℝ)

ZEROS 

Distinct73
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1821.8248
Minimum0
Maximum90000
Zeros11
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T07:09:04.371334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15.25
median13
Q342.25
95-th percentile2000
Maximum90000
Range90000
Interquartile range (IQR)37

Descriptive statistics

Standard deviation9815.2211
Coefficient of variation (CV)5.3875769
Kurtosis51.184198
Mean1821.8248
Median Absolute Deviation (MAD)10
Skewness6.8787003
Sum426307
Variance96338566
MonotonicityNot monotonic
2023-12-13T07:09:04.581581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 16
 
6.8%
7 12
 
5.1%
0 11
 
4.7%
8 11
 
4.7%
4 10
 
4.3%
20 9
 
3.8%
50 8
 
3.4%
1 8
 
3.4%
2 8
 
3.4%
13 7
 
3.0%
Other values (63) 134
57.3%
ValueCountFrequency (%)
0 11
4.7%
1 8
3.4%
2 8
3.4%
3 6
 
2.6%
4 10
4.3%
5 16
6.8%
6 7
3.0%
7 12
5.1%
8 11
4.7%
9 5
 
2.1%
ValueCountFrequency (%)
90000 1
0.4%
80000 1
0.4%
60000 1
0.4%
40000 2
0.9%
30000 1
0.4%
16800 1
0.4%
15000 1
0.4%
14000 1
0.4%
13200 1
0.4%
11400 1
0.4%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-06-19
234 

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 (%)
2023-06-19 234
100.0%

Length

2023-12-13T07:09:04.760376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:09:04.842782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-19 234
100.0%

Interactions

2023-12-13T07:09:02.489738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:09:04.890320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주사육업종사육두수
주사육업종1.0000.596
사육두수0.5961.000
2023-12-13T07:09:04.963599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수주사육업종
사육두수1.0000.435
주사육업종0.4351.000

Missing values

2023-12-13T07:09:02.593683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:09:02.695487image/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
224현대농장닭충청북도 증평군 증평읍 연탄리 18320002023-06-19
225혁진농장닭충청북도 증평군 증평읍 덕상리 289번지400002023-06-19
226병진농장닭충청북도 증평군 도안면 석곡리 597번지300002023-06-19
227도안닭집농장닭충청북도 증평군 도안면 석곡리 184번지150002023-06-19
228송산리양계장닭충청북도 증평군 증평읍 송산리 509번지400002023-06-19
229호정농장닭충청북도 증평군 도안면 입장길 205900002023-06-19
230영환농장닭충청북도 증평군 도안면 송정리 86번지 2호600002023-06-19
231연암농장닭충청북도 증평군 도안면 송정리 510번지 1호800002023-06-19
232클바이오농장닭충청북도 증평군 도안면 화성리 414132002023-06-19
233클바이오 광덕농장닭충청북도 증평군 도안면 광덕리 77-1168002023-06-19