Overview

Dataset statistics

Number of variables5
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory45.4 B

Variable types

Numeric2
Text2
Categorical1

Dataset

Description전라남도 보성군의 가금류 농장현황에 대한 데이터로 연번, 농장명, 축종, 사육수, 상세주소 등의 항목을 제공합니다.
Author전라남도 보성군
URLhttps://www.data.go.kr/data/15077029/fileData.do

Alerts

연번 has unique valuesUnique
상세주소 has unique valuesUnique
사육수수 has 3 (7.9%) zerosZeros

Reproduction

Analysis started2024-03-14 08:47:43.927396
Analysis finished2024-03-14 08:47:45.313522
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.5
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size470.0 B
2024-03-14T17:47:45.659286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.85
Q110.25
median19.5
Q328.75
95-th percentile36.15
Maximum38
Range37
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation11.113055
Coefficient of variation (CV)0.56990028
Kurtosis-1.2
Mean19.5
Median Absolute Deviation (MAD)9.5
Skewness0
Sum741
Variance123.5
MonotonicityStrictly increasing
2024-03-14T17:47:46.091138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1 1
 
2.6%
30 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
31 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%
29 1
2.6%

농장명
Text

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size432.0 B
2024-03-14T17:47:46.928608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length4.7105263
Min length3

Characters and Unicode

Total characters179
Distinct characters60
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)89.5%

Sample

1st row낙○축산
2nd row봉○농장
3rd row죽○농장
4th row제2죽○농장
5th row조○농장
ValueCountFrequency (%)
자○농장 2
 
5.0%
제○농장 2
 
5.0%
낙○축산 1
 
2.5%
소○농장 1
 
2.5%
바○팜 1
 
2.5%
하○농장1 1
 
2.5%
하○농장2 1
 
2.5%
구○수농장 1
 
2.5%
건○농장 1
 
2.5%
가○길농장 1
 
2.5%
Other values (28) 28
70.0%
2024-03-14T17:47:48.200318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 37
20.7%
장 34
19.0%
농 33
18.4%
제 4
 
2.2%
팜 4
 
2.2%
수 3
 
1.7%
자 2
 
1.1%
보 2
 
1.1%
가 2
 
1.1%
하 2
 
1.1%
Other values (50) 56
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 135
75.4%
Other Symbol 37
 
20.7%
Decimal Number 3
 
1.7%
Space Separator 2
 
1.1%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 34
25.2%
농 33
24.4%
제 4
 
3.0%
팜 4
 
3.0%
수 3
 
2.2%
자 2
 
1.5%
보 2
 
1.5%
가 2
 
1.5%
하 2
 
1.5%
낙 2
 
1.5%
Other values (44) 47
34.8%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Other Symbol
ValueCountFrequency (%)
○ 37
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 135
75.4%
Common 44
 
24.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 34
25.2%
농 33
24.4%
제 4
 
3.0%
팜 4
 
3.0%
수 3
 
2.2%
자 2
 
1.5%
보 2
 
1.5%
가 2
 
1.5%
하 2
 
1.5%
낙 2
 
1.5%
Other values (44) 47
34.8%
Common
ValueCountFrequency (%)
○ 37
84.1%
2
 
4.5%
2 2
 
4.5%
1 1
 
2.3%
( 1
 
2.3%
) 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 135
75.4%
Geometric Shapes 37
 
20.7%
ASCII 7
 
3.9%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 37
100.0%
Hangul
ValueCountFrequency (%)
장 34
25.2%
농 33
24.4%
제 4
 
3.0%
팜 4
 
3.0%
수 3
 
2.2%
자 2
 
1.5%
보 2
 
1.5%
가 2
 
1.5%
하 2
 
1.5%
낙 2
 
1.5%
Other values (44) 47
34.8%
ASCII
ValueCountFrequency (%)
2
28.6%
2 2
28.6%
1 1
14.3%
( 1
14.3%
) 1
14.3%

축종
Categorical

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size432.0 B
육용오리
18 
육계
8 
산란계
7 
종오리
4 
종계
 
1

Length

Max length4
Median length3
Mean length3.2368421
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
육용오리 18
47.4%
육계 8
21.1%
산란계 7
 
18.4%
종오리 4
 
10.5%
종계 1
 
2.6%

Length

2024-03-14T17:47:48.650519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:47:49.015911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
육용오리 18
47.4%
육계 8
21.1%
산란계 7
 
18.4%
종오리 4
 
10.5%
종계 1
 
2.6%

사육수수
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28513.684
Minimum0
Maximum150100
Zeros3
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size470.0 B
2024-03-14T17:47:49.372331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15325
median11500
Q321625
95-th percentile121650
Maximum150100
Range150100
Interquartile range (IQR)16300

Descriptive statistics

Standard deviation41486.886
Coefficient of variation (CV)1.4549816
Kurtosis2.9977951
Mean28513.684
Median Absolute Deviation (MAD)6810
Skewness2.0146338
Sum1083520
Variance1.7211617 × 109
MonotonicityNot monotonic
2024-03-14T17:47:49.771835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
8000 3
 
7.9%
0 3
 
7.9%
5000 2
 
5.3%
17000 2
 
5.3%
700 1
 
2.6%
64500 1
 
2.6%
11000 1
 
2.6%
32000 1
 
2.6%
50000 1
 
2.6%
113100 1
 
2.6%
Other values (22) 22
57.9%
ValueCountFrequency (%)
0 3
7.9%
700 1
 
2.6%
850 1
 
2.6%
4000 1
 
2.6%
4300 1
 
2.6%
4380 1
 
2.6%
5000 2
5.3%
6300 1
 
2.6%
6600 1
 
2.6%
7000 1
 
2.6%
ValueCountFrequency (%)
150100 1
2.6%
149700 1
2.6%
116700 1
2.6%
113100 1
2.6%
101700 1
2.6%
64500 1
2.6%
50000 1
2.6%
40000 1
2.6%
32000 1
2.6%
22000 1
2.6%

상세주소
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size432.0 B
2024-03-14T17:47:50.894141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length25.421053
Min length19

Characters and Unicode

Total characters966
Distinct characters67
Distinct categories5 ?
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 (%)100.0%

Sample

1st row전라남도 보성군 조성면 은곡리 66-2, 67
2nd row전라남도 보성군 회천면 화죽리 417
3rd row전라남도 보성군 득량면 정흥리 550
4th row전라남도 보성군 득량면 마천리 1081, 1086
5th row전라남도 보성군 조성면 조성리 542
ValueCountFrequency (%)
전라남도 38
 
17.4%
보성군 38
 
17.4%
웅치면 6
 
2.8%
노동면 6
 
2.8%
조성면 5
 
2.3%
대련리 5
 
2.3%
보성읍 5
 
2.3%
득량면 4
 
1.8%
벌교읍 4
 
1.8%
대산리 4
 
1.8%
Other values (89) 103
47.2%
2024-03-14T17:47:52.438610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196
20.3%
성 49
 
5.1%
보 43
 
4.5%
남 40
 
4.1%
전 39
 
4.0%
도 39
 
4.0%
리 38
 
3.9%
군 38
 
3.9%
라 38
 
3.9%
2 31
 
3.2%
Other values (57) 415
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 495
51.2%
Decimal Number 221
22.9%
Space Separator 196
 
20.3%
Other Punctuation 28
 
2.9%
Dash Punctuation 26
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 49
 
9.9%
보 43
 
8.7%
남 40
 
8.1%
전 39
 
7.9%
도 39
 
7.9%
리 38
 
7.7%
군 38
 
7.7%
라 38
 
7.7%
면 29
 
5.9%
동 12
 
2.4%
Other values (44) 130
26.3%
Decimal Number
ValueCountFrequency (%)
2 31
14.0%
1 30
13.6%
8 29
13.1%
7 26
11.8%
3 23
10.4%
4 20
9.0%
0 19
8.6%
9 16
7.2%
6 14
6.3%
5 13
5.9%
Space Separator
ValueCountFrequency (%)
196
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 495
51.2%
Common 471
48.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 49
 
9.9%
보 43
 
8.7%
남 40
 
8.1%
전 39
 
7.9%
도 39
 
7.9%
리 38
 
7.7%
군 38
 
7.7%
라 38
 
7.7%
면 29
 
5.9%
동 12
 
2.4%
Other values (44) 130
26.3%
Common
ValueCountFrequency (%)
196
41.6%
2 31
 
6.6%
1 30
 
6.4%
8 29
 
6.2%
, 28
 
5.9%
- 26
 
5.5%
7 26
 
5.5%
3 23
 
4.9%
4 20
 
4.2%
0 19
 
4.0%
Other values (3) 43
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 495
51.2%
ASCII 471
48.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
196
41.6%
2 31
 
6.6%
1 30
 
6.4%
8 29
 
6.2%
, 28
 
5.9%
- 26
 
5.5%
7 26
 
5.5%
3 23
 
4.9%
4 20
 
4.2%
0 19
 
4.0%
Other values (3) 43
 
9.1%
Hangul
ValueCountFrequency (%)
성 49
 
9.9%
보 43
 
8.7%
남 40
 
8.1%
전 39
 
7.9%
도 39
 
7.9%
리 38
 
7.7%
군 38
 
7.7%
라 38
 
7.7%
면 29
 
5.9%
동 12
 
2.4%
Other values (44) 130
26.3%

Interactions

2024-03-14T17:47:44.720410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:47:44.207389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:47:44.881505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:47:44.463758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T17:47:52.711729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번농장명축종사육수수상세주소
연번1.0000.8420.5810.4721.000
농장명0.8421.0000.9180.9381.000
축종0.5810.9181.0000.3471.000
사육수수0.4720.9380.3471.0001.000
상세주소1.0001.0001.0001.0001.000
2024-03-14T17:47:52.970714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사육수수축종
연번1.0000.1030.243
사육수수0.1031.0000.198
축종0.2430.1981.000

Missing values

2024-03-14T17:47:45.084015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T17:47:45.247187image/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

연번농장명축종사육수수상세주소
01낙○축산육계700전라남도 보성군 조성면 은곡리 66-2, 67
12봉○농장육계0전라남도 보성군 회천면 화죽리 417
23죽○농장육용오리14000전라남도 보성군 득량면 정흥리 550
34제2죽○농장육용오리5000전라남도 보성군 득량면 마천리 1081, 1086
45조○농장육용오리17000전라남도 보성군 조성면 조성리 542
56샘○오리농장육용오리22000전라남도 보성군 조성면 동촌리 273
67월○유기농장(정심원)산란계6600전라남도 보성군 벌교읍 마동리 128-1, 130, 131, 131-2, 135
78이○님농장육용오리10500전라남도 보성군 조성면 용전리 598-2, 598-3, 598-4
89영○농장육계7000전라남도 보성군 벌교읍 영등리 984-24, 984-31
910자○농장산란계116700전라남도 보성군 미력면 화방리 798, 798-2, 산224-2
연번농장명축종사육수수상세주소
2829바○팜산란계50000전라남도 보성군 미력면 미력리 619-1
2930박○경농장육계113100전라남도 보성군 보성읍 쾌상리 1118-5
3031용○농장육용오리8000전라남도 보성군 벌교읍 칠동리 1248-6
3132푸○메농장육용오리40000전라남도 보성군 득량면 도촌리 806
3233낙○농장육용오리20500전라남도 보성군 겸백면 수남리 833, 833-3
3334제○디팜 보성농장종오리12000전라남도 보성군 노동면 대련리 23, 24, 24-2, 25
3435신○보성종축장종계18000전라남도 보성군 보성읍 옥암리 709
3536송○수농장종오리4000전라남도 보성군 웅치면 유산리 1082
3637제○농장종오리6300전라남도 보성군 웅치면 대산리 48
3738부○농장종오리5000전라남도 보성군 득량면 비봉리 296, 297, 300, 378, 830-1