Overview

Dataset statistics

Number of variables5
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory43.9 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description본 공공데이터는 전라북도 완주군에 위치한 가금류 농장현황으로 축종, 사육수, 상세주소 등의 정보를 포함하고 있습니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=1&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15077067

Alerts

데이터 기준일자 has constant value ""Constant
번호 has unique valuesUnique
상세주소 has unique valuesUnique

Reproduction

Analysis started2024-04-21 12:33:06.633881
Analysis finished2024-04-21 12:33:07.614330
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-21T21:33:07.824917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.15
Q111.75
median22.5
Q333.25
95-th percentile41.85
Maximum44
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.845233
Coefficient of variation (CV)0.57089923
Kurtosis-1.2
Mean22.5
Median Absolute Deviation (MAD)11
Skewness0
Sum990
Variance165
MonotonicityStrictly increasing
2024-04-21T21:33:08.238359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 1
 
2.3%
24 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
33 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
44 1
2.3%
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%

축종
Categorical

Distinct7
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size480.0 B
육계
22 
산란계
8 
토종닭
7 
삼계
3 
메추리
 
2
Other values (2)
 
2

Length

Max length7
Median length2
Mean length2.5909091
Min length2

Unique

Unique2 ?
Unique (%)4.5%

Sample

1st row육계
2nd row육계
3rd row토종닭
4th row산란계
5th row산란계

Common Values

ValueCountFrequency (%)
육계 22
50.0%
산란계 8
 
18.2%
토종닭 7
 
15.9%
삼계 3
 
6.8%
메추리 2
 
4.5%
육계, 삼계 1
 
2.3%
토종닭, 육계 1
 
2.3%

Length

2024-04-21T21:33:08.646303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:33:08.988128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
육계 24
52.2%
산란계 8
 
17.4%
토종닭 8
 
17.4%
삼계 4
 
8.7%
메추리 2
 
4.3%

사육수
Text

Distinct35
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
2024-04-21T21:33:09.723817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.7954545
Min length4

Characters and Unicode

Total characters299
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)63.6%

Sample

1st row32,500
2nd row60,000
3rd row25,000
4th row600
5th row1,200
ValueCountFrequency (%)
100,000 3
 
6.8%
80,000 3
 
6.8%
40,000 2
 
4.5%
55,000 2
 
4.5%
60,000 2
 
4.5%
200,000 2
 
4.5%
35,000 2
 
4.5%
90,000 1
 
2.3%
50,000 1
 
2.3%
68,000 1
 
2.3%
Other values (25) 25
56.8%
2024-04-21T21:33:11.095568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 143
47.8%
44
 
14.7%
, 41
 
13.7%
5 15
 
5.0%
2 12
 
4.0%
1 10
 
3.3%
6 8
 
2.7%
3 8
 
2.7%
8 7
 
2.3%
4 6
 
2.0%
Other values (2) 5
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 214
71.6%
Space Separator 44
 
14.7%
Other Punctuation 41
 
13.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 143
66.8%
5 15
 
7.0%
2 12
 
5.6%
1 10
 
4.7%
6 8
 
3.7%
3 8
 
3.7%
8 7
 
3.3%
4 6
 
2.8%
7 3
 
1.4%
9 2
 
0.9%
Space Separator
ValueCountFrequency (%)
44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 299
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 143
47.8%
44
 
14.7%
, 41
 
13.7%
5 15
 
5.0%
2 12
 
4.0%
1 10
 
3.3%
6 8
 
2.7%
3 8
 
2.7%
8 7
 
2.3%
4 6
 
2.0%
Other values (2) 5
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 299
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 143
47.8%
44
 
14.7%
, 41
 
13.7%
5 15
 
5.0%
2 12
 
4.0%
1 10
 
3.3%
6 8
 
2.7%
3 8
 
2.7%
8 7
 
2.3%
4 6
 
2.0%
Other values (2) 5
 
1.7%

상세주소
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size480.0 B
2024-04-21T21:33:11.988556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length16.136364
Min length14

Characters and Unicode

Total characters710
Distinct characters70
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

Unique44 ?
Unique (%)100.0%

Sample

1st row완주군 봉동읍 장구리 17
2nd row완주군 봉동읍 장구리 25-1
3rd row완주군 봉동읍 용암리 463-9
4th row완주군 용진읍 구억리 553-3
5th row완주군 용진읍 상운리 703
ValueCountFrequency (%)
완주군 44
24.9%
화산면 10
 
5.6%
고산면 6
 
3.4%
비봉면 5
 
2.8%
용진읍 5
 
2.8%
구이면 5
 
2.8%
이서면 4
 
2.3%
소양면 3
 
1.7%
이문리 3
 
1.7%
백여리 3
 
1.7%
Other values (79) 89
50.3%
2024-04-21T21:33:13.284790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
18.7%
주 45
 
6.3%
완 44
 
6.2%
군 44
 
6.2%
리 43
 
6.1%
면 36
 
5.1%
1 26
 
3.7%
- 24
 
3.4%
3 21
 
3.0%
2 21
 
3.0%
Other values (60) 273
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 397
55.9%
Decimal Number 156
 
22.0%
Space Separator 133
 
18.7%
Dash Punctuation 24
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 45
 
11.3%
완 44
 
11.1%
군 44
 
11.1%
리 43
 
10.8%
면 36
 
9.1%
산 20
 
5.0%
화 15
 
3.8%
이 14
 
3.5%
구 10
 
2.5%
봉 9
 
2.3%
Other values (48) 117
29.5%
Decimal Number
ValueCountFrequency (%)
1 26
16.7%
3 21
13.5%
2 21
13.5%
7 16
10.3%
5 15
9.6%
4 14
9.0%
6 13
8.3%
9 11
7.1%
8 10
 
6.4%
0 9
 
5.8%
Space Separator
ValueCountFrequency (%)
133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 397
55.9%
Common 313
44.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 45
 
11.3%
완 44
 
11.1%
군 44
 
11.1%
리 43
 
10.8%
면 36
 
9.1%
산 20
 
5.0%
화 15
 
3.8%
이 14
 
3.5%
구 10
 
2.5%
봉 9
 
2.3%
Other values (48) 117
29.5%
Common
ValueCountFrequency (%)
133
42.5%
1 26
 
8.3%
- 24
 
7.7%
3 21
 
6.7%
2 21
 
6.7%
7 16
 
5.1%
5 15
 
4.8%
4 14
 
4.5%
6 13
 
4.2%
9 11
 
3.5%
Other values (2) 19
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 397
55.9%
ASCII 313
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
42.5%
1 26
 
8.3%
- 24
 
7.7%
3 21
 
6.7%
2 21
 
6.7%
7 16
 
5.1%
5 15
 
4.8%
4 14
 
4.5%
6 13
 
4.2%
9 11
 
3.5%
Other values (2) 19
 
6.1%
Hangul
ValueCountFrequency (%)
주 45
 
11.3%
완 44
 
11.1%
군 44
 
11.1%
리 43
 
10.8%
면 36
 
9.1%
산 20
 
5.0%
화 15
 
3.8%
이 14
 
3.5%
구 10
 
2.5%
봉 9
 
2.3%
Other values (48) 117
29.5%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size480.0 B
2021-02-04
44 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-02-04
2nd row2021-02-04
3rd row2021-02-04
4th row2021-02-04
5th row2021-02-04

Common Values

ValueCountFrequency (%)
2021-02-04 44
100.0%

Length

2024-04-21T21:33:13.677953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:33:13.982687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-02-04 44
100.0%

Interactions

2024-04-21T21:33:06.876470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T21:33:14.165770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호축종사육수상세주소
번호1.0000.3390.6921.000
축종0.3391.0000.7651.000
사육수0.6920.7651.0001.000
상세주소1.0001.0001.0001.000
2024-04-21T21:33:14.408024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호축종
번호1.0000.155
축종0.1551.000

Missing values

2024-04-21T21:33:07.180633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T21:33:07.493389image/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

번호축종사육수상세주소데이터 기준일자
01육계32,500완주군 봉동읍 장구리 172021-02-04
12육계60,000완주군 봉동읍 장구리 25-12021-02-04
23토종닭25,000완주군 봉동읍 용암리 463-92021-02-04
34산란계600완주군 용진읍 구억리 553-32021-02-04
45산란계1,200완주군 용진읍 상운리 7032021-02-04
56산란계2,000완주군 용진읍 상삼리 2992021-02-04
67육계46,000완주군 용진읍 운곡리 473-1292021-02-04
78토종닭70,000완주군 이서면 은교리 산 167-22021-02-04
89육계, 삼계110,000완주군 이서면 이문리 413-32021-02-04
910산란계8,500완주군 이서면 이문리 4932021-02-04
번호축종사육수상세주소데이터 기준일자
3435육계55,000완주군 화산면 와룡리 3352021-02-04
3536육계63,000완주군 화산면 우월리 92-22021-02-04
3637삼계98,000완주군 화산면 춘산리 329-22021-02-04
3738육계90,000완주군 화산면 화월리 11502021-02-04
3839육계44,000완주군 화산면 화월리 1303-12021-02-04
3940육계100,000완주군 화산면 운산리 2672021-02-04
4041육계63,500완주군 화산면 승치리 567-22021-02-04
4142육계68,000완주군 동상면 신월리 5572021-02-04
4243산란계5,000완주군 경천면 가천리 6732021-02-04
4344산란계200완주군 용진읍 구억리 165-42021-02-04