Overview

Dataset statistics

Number of variables8
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory68.0 B

Variable types

Text3
Categorical3
Numeric1
DateTime1

Dataset

Description경기도 양주시 양돈농가 현황으로 사업장명, 등록축종, 도로명주소, 지번주소, 사육두수, 담당부서, 전화번호 등의 항목으로 구성되어 있습니다.
Author경기도 양주시
URLhttps://www.data.go.kr/data/15126993/fileData.do

Alerts

등록축종 has constant value ""Constant
담당부서 has constant value ""Constant
부서전화번호 has constant value ""Constant
데이터기준일 has constant value ""Constant
사업장명 has unique valuesUnique
지번주소 has unique valuesUnique
사육두수 has 2 (4.8%) zerosZeros

Reproduction

Analysis started2024-03-14 20:54:19.286210
Analysis finished2024-03-14 20:54:20.216769
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size464.0 B
2024-03-15T05:54:21.016709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length4
Mean length4.3571429
Min length3

Characters and Unicode

Total characters183
Distinct characters69
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row형제농장
2nd row광남농본축산단지
3rd row상학농장
4th row성암농장
5th row덕수농장
ValueCountFrequency (%)
형제농장 1
 
2.3%
신승농장 1
 
2.3%
필진농장 1
 
2.3%
병영농장 1
 
2.3%
덕정농장 1
 
2.3%
용암농장 1
 
2.3%
양주농장 1
 
2.3%
비젼축산양돈장 1
 
2.3%
유유농장 1
 
2.3%
황주농장 1
 
2.3%
Other values (34) 34
77.3%
2024-03-15T05:54:22.095829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
20.2%
36
19.7%
6
 
3.3%
5
 
2.7%
4
 
2.2%
4
 
2.2%
2 3
 
1.6%
3
 
1.6%
3
 
1.6%
3
 
1.6%
Other values (59) 79
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
97.3%
Decimal Number 3
 
1.6%
Space Separator 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
37
20.8%
36
20.2%
6
 
3.4%
5
 
2.8%
4
 
2.2%
4
 
2.2%
3
 
1.7%
3
 
1.7%
3
 
1.7%
3
 
1.7%
Other values (57) 74
41.6%
Decimal Number
ValueCountFrequency (%)
2 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
97.3%
Common 5
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
37
20.8%
36
20.2%
6
 
3.4%
5
 
2.8%
4
 
2.2%
4
 
2.2%
3
 
1.7%
3
 
1.7%
3
 
1.7%
3
 
1.7%
Other values (57) 74
41.6%
Common
ValueCountFrequency (%)
2 3
60.0%
2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 178
97.3%
ASCII 5
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
37
20.8%
36
20.2%
6
 
3.4%
5
 
2.8%
4
 
2.2%
4
 
2.2%
3
 
1.7%
3
 
1.7%
3
 
1.7%
3
 
1.7%
Other values (57) 74
41.6%
ASCII
ValueCountFrequency (%)
2 3
60.0%
2
40.0%

등록축종
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size464.0 B
돼지
42 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
돼지 42
100.0%

Length

2024-03-15T05:54:22.318197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:54:22.505686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
돼지 42
100.0%
Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size464.0 B
2024-03-15T05:54:23.412053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26.5
Mean length24.095238
Min length20

Characters and Unicode

Total characters1012
Distinct characters59
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)90.5%

Sample

1st row경기도 양주시 광적면 부흥로597번길 168-5
2nd row경기도 양주시 광적면 삼일로 365-63
3rd row경기도 양주시 광적면 광적로156번길 83
4th row경기도 양주시 광적면 화합로74번길 198
5th row경기도 양주시 남면 현석로785번길 128
ValueCountFrequency (%)
경기도 42
20.3%
양주시 42
20.3%
은현면 20
 
9.7%
남면 9
 
4.3%
은현로312번길 5
 
2.4%
광적면 5
 
2.4%
삼일로 4
 
1.9%
백석읍 3
 
1.4%
휴암로451번길 2
 
1.0%
173 2
 
1.0%
Other values (67) 73
35.3%
2024-03-15T05:54:24.675276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
 
16.3%
1 51
 
5.0%
44
 
4.3%
43
 
4.2%
42
 
4.2%
42
 
4.2%
42
 
4.2%
42
 
4.2%
41
 
4.1%
2 37
 
3.7%
Other values (49) 463
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 559
55.2%
Decimal Number 258
25.5%
Space Separator 165
 
16.3%
Dash Punctuation 26
 
2.6%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
44
 
7.9%
43
 
7.7%
42
 
7.5%
42
 
7.5%
42
 
7.5%
42
 
7.5%
41
 
7.3%
34
 
6.1%
33
 
5.9%
32
 
5.7%
Other values (35) 164
29.3%
Decimal Number
ValueCountFrequency (%)
1 51
19.8%
2 37
14.3%
7 27
10.5%
3 25
9.7%
6 23
8.9%
8 23
8.9%
4 23
8.9%
5 20
 
7.8%
9 15
 
5.8%
0 14
 
5.4%
Space Separator
ValueCountFrequency (%)
165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 559
55.2%
Common 453
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
44
 
7.9%
43
 
7.7%
42
 
7.5%
42
 
7.5%
42
 
7.5%
42
 
7.5%
41
 
7.3%
34
 
6.1%
33
 
5.9%
32
 
5.7%
Other values (35) 164
29.3%
Common
ValueCountFrequency (%)
165
36.4%
1 51
 
11.3%
2 37
 
8.2%
7 27
 
6.0%
- 26
 
5.7%
3 25
 
5.5%
6 23
 
5.1%
8 23
 
5.1%
4 23
 
5.1%
5 20
 
4.4%
Other values (4) 33
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 559
55.2%
ASCII 453
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
36.4%
1 51
 
11.3%
2 37
 
8.2%
7 27
 
6.0%
- 26
 
5.7%
3 25
 
5.5%
6 23
 
5.1%
8 23
 
5.1%
4 23
 
5.1%
5 20
 
4.4%
Other values (4) 33
 
7.3%
Hangul
ValueCountFrequency (%)
44
 
7.9%
43
 
7.7%
42
 
7.5%
42
 
7.5%
42
 
7.5%
42
 
7.5%
41
 
7.3%
34
 
6.1%
33
 
5.9%
32
 
5.7%
Other values (35) 164
29.3%

지번주소
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size464.0 B
2024-03-15T05:54:25.710290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22.5
Mean length21.238095
Min length18

Characters and Unicode

Total characters892
Distinct characters52
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row경기도 양주시 광적면 광석리 326-18
2nd row경기도 양주시 광적면 덕도리 120-
3rd row경기도 양주시 광적면 석우리 339
4th row경기도 양주시 광적면 효촌리 603
5th row경기도 양주시 남면 경신리 202-3
ValueCountFrequency (%)
경기도 42
20.2%
양주시 42
20.2%
은현면 22
 
10.6%
남면 10
 
4.8%
하패리 9
 
4.3%
광적면 5
 
2.4%
용암리 5
 
2.4%
상수리 4
 
1.9%
백석읍 3
 
1.4%
도하리 2
 
1.0%
Other values (57) 64
30.8%
2024-03-15T05:54:27.151733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
225
25.2%
45
 
5.0%
44
 
4.9%
43
 
4.8%
42
 
4.7%
42
 
4.7%
42
 
4.7%
40
 
4.5%
37
 
4.1%
- 27
 
3.0%
Other values (42) 305
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 488
54.7%
Space Separator 225
25.2%
Decimal Number 152
 
17.0%
Dash Punctuation 27
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
45
9.2%
44
9.0%
43
 
8.8%
42
 
8.6%
42
 
8.6%
42
 
8.6%
40
 
8.2%
37
 
7.6%
22
 
4.5%
22
 
4.5%
Other values (30) 109
22.3%
Decimal Number
ValueCountFrequency (%)
1 26
17.1%
3 25
16.4%
2 19
12.5%
5 16
10.5%
7 13
8.6%
6 12
7.9%
8 11
7.2%
4 10
 
6.6%
9 10
 
6.6%
0 10
 
6.6%
Space Separator
ValueCountFrequency (%)
225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 488
54.7%
Common 404
45.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
45
9.2%
44
9.0%
43
 
8.8%
42
 
8.6%
42
 
8.6%
42
 
8.6%
40
 
8.2%
37
 
7.6%
22
 
4.5%
22
 
4.5%
Other values (30) 109
22.3%
Common
ValueCountFrequency (%)
225
55.7%
- 27
 
6.7%
1 26
 
6.4%
3 25
 
6.2%
2 19
 
4.7%
5 16
 
4.0%
7 13
 
3.2%
6 12
 
3.0%
8 11
 
2.7%
4 10
 
2.5%
Other values (2) 20
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 488
54.7%
ASCII 404
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
225
55.7%
- 27
 
6.7%
1 26
 
6.4%
3 25
 
6.2%
2 19
 
4.7%
5 16
 
4.0%
7 13
 
3.2%
6 12
 
3.0%
8 11
 
2.7%
4 10
 
2.5%
Other values (2) 20
 
5.0%
Hangul
ValueCountFrequency (%)
45
9.2%
44
9.0%
43
 
8.8%
42
 
8.6%
42
 
8.6%
42
 
8.6%
40
 
8.2%
37
 
7.6%
22
 
4.5%
22
 
4.5%
Other values (30) 109
22.3%

사육두수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)59.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1472.619
Minimum0
Maximum5700
Zeros2
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size506.0 B
2024-03-15T05:54:27.522282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile57.5
Q1700
median950
Q31575
95-th percentile5440
Maximum5700
Range5700
Interquartile range (IQR)875

Descriptive statistics

Standard deviation1473.0176
Coefficient of variation (CV)1.0002706
Kurtosis2.6487186
Mean1472.619
Median Absolute Deviation (MAD)450
Skewness1.8059679
Sum61850
Variance2169780.8
MonotonicityNot monotonic
2024-03-15T05:54:27.979640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1300 4
 
9.5%
700 4
 
9.5%
900 4
 
9.5%
800 3
 
7.1%
1100 2
 
4.8%
200 2
 
4.8%
2400 2
 
4.8%
0 2
 
4.8%
5500 2
 
4.8%
400 2
 
4.8%
Other values (15) 15
35.7%
ValueCountFrequency (%)
0 2
4.8%
50 1
 
2.4%
200 2
4.8%
300 1
 
2.4%
400 2
4.8%
500 1
 
2.4%
600 1
 
2.4%
700 4
9.5%
800 3
7.1%
900 4
9.5%
ValueCountFrequency (%)
5700 1
2.4%
5500 2
4.8%
4300 1
2.4%
4000 1
2.4%
2500 1
2.4%
2400 2
4.8%
2300 1
2.4%
1700 1
2.4%
1600 1
2.4%
1500 1
2.4%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size464.0 B
축산과
42 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산과 42
100.0%

Length

2024-03-15T05:54:28.386414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:54:28.728297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산과 42
100.0%

부서전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size464.0 B
031-8082-7284
42 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-8082-7284
2nd row031-8082-7284
3rd row031-8082-7284
4th row031-8082-7284
5th row031-8082-7284

Common Values

ValueCountFrequency (%)
031-8082-7284 42
100.0%

Length

2024-03-15T05:54:29.015399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:54:29.255533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-8082-7284 42
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size464.0 B
Minimum2024-03-06 00:00:00
Maximum2024-03-06 00:00:00
2024-03-15T05:54:29.401415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:54:29.573098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T05:54:19.640127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T05:54:29.727794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명도로명주소지번주소사육두수
사업장명1.0001.0001.0001.000
도로명주소1.0001.0001.0001.000
지번주소1.0001.0001.0001.000
사육두수1.0001.0001.0001.000

Missing values

2024-03-15T05:54:19.909615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:54:20.129837image/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

사업장명등록축종도로명주소지번주소사육두수담당부서부서전화번호데이터기준일
0형제농장돼지경기도 양주시 광적면 부흥로597번길 168-5경기도 양주시 광적면 광석리 326-181100축산과031-8082-72842024-03-06
1광남농본축산단지돼지경기도 양주시 광적면 삼일로 365-63경기도 양주시 광적면 덕도리 120-5700축산과031-8082-72842024-03-06
2상학농장돼지경기도 양주시 광적면 광적로156번길 83경기도 양주시 광적면 석우리 339600축산과031-8082-72842024-03-06
3성암농장돼지경기도 양주시 광적면 화합로74번길 198경기도 양주시 광적면 효촌리 6031300축산과031-8082-72842024-03-06
4덕수농장돼지경기도 양주시 남면 현석로785번길 128경기도 양주시 남면 경신리 202-3700축산과031-8082-72842024-03-06
5이레에듀팜돼지경기도 양주시 남면 삼일로 690-61경기도 양주시 남면 상수리 162-221500축산과031-8082-72842024-03-06
6지정팜돼지경기도 양주시 남면 화합로610번길 30-262경기도 양주시 남면 상수리 2245500축산과031-8082-72842024-03-06
7이천농장돼지경기도 양주시 백석읍 양주산성로 864-8경기도 양주시 남면 상수리 489-18200축산과031-8082-72842024-03-06
8상수2농장돼지경기도 양주시 남면 감악산로83번길 439경기도 양주시 남면 상수리 5200축산과031-8082-72842024-03-06
9신승농장돼지경기도 양주시 남면 삼일로 679-18경기도 양주시 남면 입암리 4135500축산과031-8082-72842024-03-06
사업장명등록축종도로명주소지번주소사육두수담당부서부서전화번호데이터기준일
32병동농장돼지경기도 양주시 은현면 운하로434번길 54-22경기도 양주시 은현면 하패리 579-41700축산과031-8082-72842024-03-06
33다솜농장돼지경기도 양주시 은현면 은현로312번길 150-16경기도 양주시 은현면 하패리 757-14000축산과031-8082-72842024-03-06
34기령농장돼지경기도 양주시 은현면 은현로312번길 194경기도 양주시 은현면 하패리 767-311200축산과031-8082-72842024-03-06
35이레농장돼지경기도 양주시 남면 휴암로451번길 173경기도 양주시 남면 매곡리 372-11300축산과031-8082-72842024-03-06
36이레팜돼지경기도 양주시 남면 휴암로451번길 173경기도 양주시 남면 매곡리 372-31400축산과031-8082-72842024-03-06
37은성농장돼지경기도 양주시 광적면 그루고개로221번길 121경기도 양주시 광적면 가납리 236-11300축산과031-8082-72842024-03-06
38운암팜돼지경기도 양주시 은현면 화합로720번길 178-64경기도 양주시 은현면 운암리 5392400축산과031-8082-72842024-03-06
39이담농장돼지경기도 양주시 은현면 은현로312번길 158경기도 양주시 은현면 하패리 771-32300축산과031-8082-72842024-03-06
40백두농장돼지경기도 양주시 은현면 은현로312번길 148경기도 양주시 은현면 하패리 773-3400축산과031-8082-72842024-03-06
41팜스플랜 양주 제2농장돼지경기도 양주시 백석읍 연곡로124번길 185경기도 양주시 백석읍 연곡리 55-21000축산과031-8082-72842024-03-06