Overview

Dataset statistics

Number of variables6
Number of observations64
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory52.1 B

Variable types

Numeric2
Text2
Categorical2

Dataset

Description"가금류 농장 현황" 공공데이터는 특정 지역 또는 국가에서 운영되는 가금류 농장에 관한 정보를 제공합니다. 이 데이터는 주로 농장의 위치, 축종 등을 포함합니다. 이 정보는 축산업 관련 정책 수립과 시장 분석, 환경 보호 등 다양한 분야에서 활용됩니다.
Author전라남도 구례군
URLhttps://www.data.go.kr/data/15077189/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
주소 has unique valuesUnique
사육수 has 1 (1.6%) zerosZeros

Reproduction

Analysis started2024-03-23 06:28:20.886032
Analysis finished2024-03-23 06:28:24.263995
Duration3.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.5
Minimum1
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-03-23T06:28:24.754865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.15
Q116.75
median32.5
Q348.25
95-th percentile60.85
Maximum64
Range63
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation18.618987
Coefficient of variation (CV)0.5728919
Kurtosis-1.2
Mean32.5
Median Absolute Deviation (MAD)16
Skewness0
Sum2080
Variance346.66667
MonotonicityStrictly increasing
2024-03-23T06:28:25.410957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
34 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
43 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
64 1
1.6%
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%

농장명
Text

Distinct59
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-03-23T06:28:26.111346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length4.796875
Min length3

Characters and Unicode

Total characters307
Distinct characters101
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

Unique56 ?
Unique (%)87.5%

Sample

1st row냉천오리농장
2nd row한례농장
3rd row봉서리농장
4th row서부농장
5th row허상영농장
ValueCountFrequency (%)
농장 4
 
5.8%
광의농장 3
 
4.3%
오리천국 3
 
4.3%
자연오리 2
 
2.9%
25시 2
 
2.9%
안촌농장 1
 
1.4%
오리농장 1
 
1.4%
용두농장 1
 
1.4%
제기암농장 1
 
1.4%
현수농장 1
 
1.4%
Other values (50) 50
72.5%
2024-03-23T06:28:27.315149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 52
 
16.9%
장 51
 
16.6%
리 17
 
5.5%
오 14
 
4.6%
기 6
 
2.0%
산 6
 
2.0%
동 6
 
2.0%
5
 
1.6%
천 4
 
1.3%
현 4
 
1.3%
Other values (91) 142
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 296
96.4%
Decimal Number 6
 
2.0%
Space Separator 5
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 52
 
17.6%
장 51
 
17.2%
리 17
 
5.7%
오 14
 
4.7%
기 6
 
2.0%
산 6
 
2.0%
동 6
 
2.0%
천 4
 
1.4%
현 4
 
1.4%
한 4
 
1.4%
Other values (87) 132
44.6%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
5 2
33.3%
1 1
 
16.7%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 296
96.4%
Common 11
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 52
 
17.6%
장 51
 
17.2%
리 17
 
5.7%
오 14
 
4.7%
기 6
 
2.0%
산 6
 
2.0%
동 6
 
2.0%
천 4
 
1.4%
현 4
 
1.4%
한 4
 
1.4%
Other values (87) 132
44.6%
Common
ValueCountFrequency (%)
5
45.5%
2 3
27.3%
5 2
 
18.2%
1 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 296
96.4%
ASCII 11
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 52
 
17.6%
장 51
 
17.2%
리 17
 
5.7%
오 14
 
4.7%
기 6
 
2.0%
산 6
 
2.0%
동 6
 
2.0%
천 4
 
1.4%
현 4
 
1.4%
한 4
 
1.4%
Other values (87) 132
44.6%
ASCII
ValueCountFrequency (%)
5
45.5%
2 3
27.3%
5 2
 
18.2%
1 1
 
9.1%

축종
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
오리
39 
육계
17 
종계/산란계
7 
종계/산란계, 오리
 
1

Length

Max length10
Median length2
Mean length2.5625
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row오리
2nd row육계
3rd row육계
4th row육계
5th row육계

Common Values

ValueCountFrequency (%)
오리 39
60.9%
육계 17
26.6%
종계/산란계 7
 
10.9%
종계/산란계, 오리 1
 
1.6%

Length

2024-03-23T06:28:27.936688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:28:28.799866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오리 40
61.5%
육계 17
26.2%
종계/산란계 8
 
12.3%

사육수
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17863.219
Minimum0
Maximum93000
Zeros1
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-03-23T06:28:29.401527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile100
Q14500
median12000
Q326500
95-th percentile49844
Maximum93000
Range93000
Interquartile range (IQR)22000

Descriptive statistics

Standard deviation18034.847
Coefficient of variation (CV)1.0096079
Kurtosis3.7572018
Mean17863.219
Median Absolute Deviation (MAD)9500
Skewness1.6571536
Sum1143246
Variance3.252557 × 108
MonotonicityNot monotonic
2024-03-23T06:28:29.916974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
10000 6
 
9.4%
20000 5
 
7.8%
40000 4
 
6.2%
30000 4
 
6.2%
12000 4
 
6.2%
300 3
 
4.7%
100 2
 
3.1%
1000 2
 
3.1%
17000 2
 
3.1%
500 2
 
3.1%
Other values (29) 30
46.9%
ValueCountFrequency (%)
0 1
 
1.6%
22 1
 
1.6%
80 1
 
1.6%
100 2
3.1%
200 1
 
1.6%
300 3
4.7%
500 2
3.1%
1000 2
3.1%
1200 1
 
1.6%
2000 1
 
1.6%
ValueCountFrequency (%)
93000 1
 
1.6%
60000 1
 
1.6%
53224 1
 
1.6%
50000 1
 
1.6%
48960 1
 
1.6%
45000 1
 
1.6%
40000 4
6.2%
37000 1
 
1.6%
30000 4
6.2%
28000 1
 
1.6%

주소
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-03-23T06:28:30.910821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length51
Mean length30.78125
Min length24

Characters and Unicode

Total characters1970
Distinct characters75
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)100.0%

Sample

1st row전라남도 구례군 마산면 광평리 559번지 1호
2nd row전라남도 구례군 토지면 금내리 1143번지 11호
3rd row전라남도 구례군 구례읍 봉서리 895번지 6호
4th row전라남도 구례군 구례읍 계산리 156번지 1호
5th row전라남도 구례군 구례읍 계산리 21,22,22-1,33-1,34,34-1,35,35-3
ValueCountFrequency (%)
전라남도 64
 
15.9%
구례군 64
 
15.9%
용방면 32
 
8.0%
신도리 19
 
4.7%
1호 13
 
3.2%
2호 6
 
1.5%
마산면 6
 
1.5%
토지면 6
 
1.5%
광의면 6
 
1.5%
산동면 6
 
1.5%
Other values (136) 180
44.8%
2024-03-23T06:28:32.207683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
440
22.3%
1 110
 
5.6%
도 83
 
4.2%
구 68
 
3.5%
례 68
 
3.5%
리 67
 
3.4%
전 66
 
3.4%
남 64
 
3.2%
군 64
 
3.2%
라 64
 
3.2%
Other values (65) 876
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1010
51.3%
Space Separator 440
22.3%
Decimal Number 426
21.6%
Other Punctuation 44
 
2.2%
Dash Punctuation 41
 
2.1%
Math Symbol 7
 
0.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 83
 
8.2%
구 68
 
6.7%
례 68
 
6.7%
리 67
 
6.6%
전 66
 
6.5%
남 64
 
6.3%
군 64
 
6.3%
라 64
 
6.3%
지 64
 
6.3%
면 60
 
5.9%
Other values (48) 342
33.9%
Decimal Number
ValueCountFrequency (%)
1 110
25.8%
4 51
12.0%
7 49
11.5%
2 43
 
10.1%
3 39
 
9.2%
5 34
 
8.0%
8 33
 
7.7%
6 29
 
6.8%
9 25
 
5.9%
0 13
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 42
95.5%
. 2
 
4.5%
Space Separator
ValueCountFrequency (%)
440
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1010
51.3%
Common 960
48.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 83
 
8.2%
구 68
 
6.7%
례 68
 
6.7%
리 67
 
6.6%
전 66
 
6.5%
남 64
 
6.3%
군 64
 
6.3%
라 64
 
6.3%
지 64
 
6.3%
면 60
 
5.9%
Other values (48) 342
33.9%
Common
ValueCountFrequency (%)
440
45.8%
1 110
 
11.5%
4 51
 
5.3%
7 49
 
5.1%
2 43
 
4.5%
, 42
 
4.4%
- 41
 
4.3%
3 39
 
4.1%
5 34
 
3.5%
8 33
 
3.4%
Other values (7) 78
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1010
51.3%
ASCII 960
48.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
440
45.8%
1 110
 
11.5%
4 51
 
5.3%
7 49
 
5.1%
2 43
 
4.5%
, 42
 
4.4%
- 41
 
4.3%
3 39
 
4.1%
5 34
 
3.5%
8 33
 
3.4%
Other values (7) 78
 
8.1%
Hangul
ValueCountFrequency (%)
도 83
 
8.2%
구 68
 
6.7%
례 68
 
6.7%
리 67
 
6.6%
전 66
 
6.5%
남 64
 
6.3%
군 64
 
6.3%
라 64
 
6.3%
지 64
 
6.3%
면 60
 
5.9%
Other values (48) 342
33.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-02-28
64 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-28
2nd row2024-02-28
3rd row2024-02-28
4th row2024-02-28
5th row2024-02-28

Common Values

ValueCountFrequency (%)
2024-02-28 64
100.0%

Length

2024-03-23T06:28:33.034070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:28:33.545166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-28 64
100.0%

Interactions

2024-03-23T06:28:22.194562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:28:21.497966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:28:22.579811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:28:21.844648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T06:28:34.001012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번농장명축종사육수주소
연번1.0000.5410.6090.4071.000
농장명0.5411.0001.0000.0001.000
축종0.6091.0001.0000.7231.000
사육수0.4070.0000.7231.0001.000
주소1.0001.0001.0001.0001.000
2024-03-23T06:28:34.433413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사육수축종
연번1.000-0.3710.388
사육수-0.3711.0000.378
축종0.3880.3781.000

Missing values

2024-03-23T06:28:23.278044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T06:28:24.083351image/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

연번농장명축종사육수주소데이터기준일자
01냉천오리농장오리12100전라남도 구례군 마산면 광평리 559번지 1호2024-02-28
12한례농장육계45000전라남도 구례군 토지면 금내리 1143번지 11호2024-02-28
23봉서리농장육계40000전라남도 구례군 구례읍 봉서리 895번지 6호2024-02-28
34서부농장육계30000전라남도 구례군 구례읍 계산리 156번지 1호2024-02-28
45허상영농장육계93000전라남도 구례군 구례읍 계산리 21,22,22-1,33-1,34,34-1,35,35-32024-02-28
56김동주농장육계30000전라남도 구례군 문척면 중산리 470번지 1호 (중산리 470-3,8,9, 475-1, 684-1, 685-1,2)2024-02-28
67엄갑섭농장육계3000전라남도 구례군 문척면 중산리 212번지2024-02-28
78벧엘농장육계30000전라남도 구례군 토지면 금내리 1011번지 1호2024-02-28
89성지농장육계60000전라남도 구례군 용방면 용강리 455번지2024-02-28
910드림농장육계53224전라남도 구례군 마산면 냉천리 743번지 10,112024-02-28
연번농장명축종사육수주소데이터기준일자
5455들꽃마을공동체종계/산란계500전라남도 구례군 광의면 수월리 산 43번지 4호2024-02-28
5556들꽃마을농장종계/산란계300전라남도 구례군 광의면 수월리 279번지 17호2024-02-28
5657지리산오은숙유정란종계/산란계300전라남도 구례군 마산면 갑산리 317번지 14호2024-02-28
5758수락농장종계/산란계100전라남도 구례군 산동면 시상리 451번지2024-02-28
5859구례청계육계1200전라남도 구례군 산동면 둔사리 764번지 2호2024-02-28
5960형기농장오리7000전라남도 구례군 용방면 신도리 1148번지 21호2024-02-28
6061온동농장오리18000전라남도 구례군 광의면 온당리 846번지 4호 846-52024-02-28
6162안촌농장육계48960전라남도 구례군 토지면 금내리 1143번지 10호2024-02-28
626325시 오리농장오리17000전라남도 구례군 용방면 신도리 1157-19,1157-202024-02-28
6364기현2농장오리9443전라남도 구례군 용방면 신도리 1144번지 7호 ,82024-02-28