Overview

Dataset statistics

Number of variables5
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)2.0%
Total size in memory2.1 KiB
Average record size in memory42.6 B

Variable types

Categorical2
Text3

Dataset

Description의성군에 주소를 둔 가금류 농장현황 데이터로, 가금류 종류, 사육두수, 농장명, 주소, 데이터기준일자 항목을 제공합니다.
Author경상북도 의성군
URLhttps://www.data.go.kr/data/15032125/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1 (2.0%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 05:09:40.838070
Analysis finished2023-12-12 05:09:41.378614
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가금류종류
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
육계
29 
산란계
16 
산란종계
 
2
산란중추
 
2
육용종계
 
1

Length

Max length4
Median length2
Mean length2.52
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row산란종계
2nd row산란종계
3rd row산란중추
4th row산란중추
5th row산란계

Common Values

ValueCountFrequency (%)
육계 29
58.0%
산란계 16
32.0%
산란종계 2
 
4.0%
산란중추 2
 
4.0%
육용종계 1
 
2.0%

Length

2023-12-12T14:09:41.471930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:09:41.628589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
육계 29
58.0%
산란계 16
32.0%
산란종계 2
 
4.0%
산란중추 2
 
4.0%
육용종계 1
 
2.0%
Distinct31
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-12T14:09:41.874846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.24
Min length5

Characters and Unicode

Total characters312
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)42.0%

Sample

1st row270,000
2nd row180,000
3rd row150,000
4th row32,000
5th row490,000
ValueCountFrequency (%)
70,000 5
 
10.0%
80,000 4
 
8.0%
50,000 3
 
6.0%
12,000 3
 
6.0%
40,000 3
 
6.0%
120,000 3
 
6.0%
100,000 2
 
4.0%
90,000 2
 
4.0%
150,000 2
 
4.0%
60,000 2
 
4.0%
Other values (21) 21
42.0%
2023-12-12T14:09:42.702192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 182
58.3%
, 50
 
16.0%
1 19
 
6.1%
5 12
 
3.8%
2 12
 
3.8%
8 9
 
2.9%
7 7
 
2.2%
4 6
 
1.9%
6 6
 
1.9%
3 5
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 262
84.0%
Other Punctuation 50
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 182
69.5%
1 19
 
7.3%
5 12
 
4.6%
2 12
 
4.6%
8 9
 
3.4%
7 7
 
2.7%
4 6
 
2.3%
6 6
 
2.3%
3 5
 
1.9%
9 4
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 182
58.3%
, 50
 
16.0%
1 19
 
6.1%
5 12
 
3.8%
2 12
 
3.8%
8 9
 
2.9%
7 7
 
2.2%
4 6
 
1.9%
6 6
 
1.9%
3 5
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 182
58.3%
, 50
 
16.0%
1 19
 
6.1%
5 12
 
3.8%
2 12
 
3.8%
8 9
 
2.9%
7 7
 
2.2%
4 6
 
1.9%
6 6
 
1.9%
3 5
 
1.6%
Distinct46
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-12T14:09:42.977048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.68
Min length4

Characters and Unicode

Total characters234
Distinct characters72
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

Unique43 ?
Unique (%)86.0%

Sample

1st row대영농원1
2nd row대영농원2
3rd row진우축산
4th row대봉중추농장
5th row의성축산
ValueCountFrequency (%)
농장 6
 
10.5%
천등산 3
 
5.3%
신락농장 2
 
3.5%
안평농장 2
 
3.5%
의성축산 2
 
3.5%
장춘농장 1
 
1.8%
대영농원1 1
 
1.8%
우포월드 1
 
1.8%
명진농장 1
 
1.8%
정원농장 1
 
1.8%
Other values (37) 37
64.9%
2023-12-12T14:09:43.504811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
17.5%
36
 
15.4%
13
 
5.6%
8
 
3.4%
8
 
3.4%
8
 
3.4%
7
 
3.0%
7
 
3.0%
5
 
2.1%
4
 
1.7%
Other values (62) 97
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 221
94.4%
Space Separator 7
 
3.0%
Decimal Number 6
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
41
18.6%
36
16.3%
13
 
5.9%
8
 
3.6%
8
 
3.6%
8
 
3.6%
7
 
3.2%
5
 
2.3%
4
 
1.8%
4
 
1.8%
Other values (58) 87
39.4%
Decimal Number
ValueCountFrequency (%)
2 4
66.7%
1 1
 
16.7%
3 1
 
16.7%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 221
94.4%
Common 13
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
41
18.6%
36
16.3%
13
 
5.9%
8
 
3.6%
8
 
3.6%
8
 
3.6%
7
 
3.2%
5
 
2.3%
4
 
1.8%
4
 
1.8%
Other values (58) 87
39.4%
Common
ValueCountFrequency (%)
7
53.8%
2 4
30.8%
1 1
 
7.7%
3 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 221
94.4%
ASCII 13
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
41
18.6%
36
16.3%
13
 
5.9%
8
 
3.6%
8
 
3.6%
8
 
3.6%
7
 
3.2%
5
 
2.3%
4
 
1.8%
4
 
1.8%
Other values (58) 87
39.4%
ASCII
ValueCountFrequency (%)
7
53.8%
2 4
30.8%
1 1
 
7.7%
3 1
 
7.7%

주소
Text

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-12T14:09:43.916997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length22.92
Min length19

Characters and Unicode

Total characters1146
Distinct characters80
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

Unique45 ?
Unique (%)90.0%

Sample

1st row경상북도 의성군 비안면 교화길 610
2nd row경상북도 의성군 다인면 상주다인로 1106-42
3rd row경상북도 의성군 금성면 공룡로 276
4th row경상북도 의성군 다인면 자미로 874
5th row경상북도 의성군 가음면 장제지길 195-67
ValueCountFrequency (%)
경상북도 50
19.7%
의성군 50
19.7%
안평면 13
 
5.1%
금성면 11
 
4.3%
다인면 5
 
2.0%
안계면 5
 
2.0%
괴산2길 4
 
1.6%
괴산1길 4
 
1.6%
단밀면 4
 
1.6%
비안면 4
 
1.6%
Other values (91) 104
40.9%
2023-12-12T14:09:44.516259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
224
19.5%
62
 
5.4%
55
 
4.8%
52
 
4.5%
51
 
4.5%
51
 
4.5%
50
 
4.4%
50
 
4.4%
50
 
4.4%
1 43
 
3.8%
Other values (70) 458
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 667
58.2%
Space Separator 224
 
19.5%
Decimal Number 220
 
19.2%
Dash Punctuation 33
 
2.9%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
62
 
9.3%
55
 
8.2%
52
 
7.8%
51
 
7.6%
51
 
7.6%
50
 
7.5%
50
 
7.5%
50
 
7.5%
37
 
5.5%
28
 
4.2%
Other values (56) 181
27.1%
Decimal Number
ValueCountFrequency (%)
1 43
19.5%
8 32
14.5%
6 29
13.2%
2 28
12.7%
4 20
9.1%
7 17
 
7.7%
3 16
 
7.3%
9 13
 
5.9%
5 12
 
5.5%
0 10
 
4.5%
Space Separator
ValueCountFrequency (%)
224
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 667
58.2%
Common 479
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
62
 
9.3%
55
 
8.2%
52
 
7.8%
51
 
7.6%
51
 
7.6%
50
 
7.5%
50
 
7.5%
50
 
7.5%
37
 
5.5%
28
 
4.2%
Other values (56) 181
27.1%
Common
ValueCountFrequency (%)
224
46.8%
1 43
 
9.0%
- 33
 
6.9%
8 32
 
6.7%
6 29
 
6.1%
2 28
 
5.8%
4 20
 
4.2%
7 17
 
3.5%
3 16
 
3.3%
9 13
 
2.7%
Other values (4) 24
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 667
58.2%
ASCII 479
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
224
46.8%
1 43
 
9.0%
- 33
 
6.9%
8 32
 
6.7%
6 29
 
6.1%
2 28
 
5.8%
4 20
 
4.2%
7 17
 
3.5%
3 16
 
3.3%
9 13
 
2.7%
Other values (4) 24
 
5.0%
Hangul
ValueCountFrequency (%)
62
 
9.3%
55
 
8.2%
52
 
7.8%
51
 
7.6%
51
 
7.6%
50
 
7.5%
50
 
7.5%
50
 
7.5%
37
 
5.5%
28
 
4.2%
Other values (56) 181
27.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2021-06-30
50 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-06-30
2nd row2021-06-30
3rd row2021-06-30
4th row2021-06-30
5th row2021-06-30

Common Values

ValueCountFrequency (%)
2021-06-30 50
100.0%

Length

2023-12-12T14:09:44.728701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:09:44.871120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-06-30 50
100.0%

Correlations

2023-12-12T14:09:44.969050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가금류종류사육두수농장명주소
가금류종류1.0000.8200.9911.000
사육두수0.8201.0000.9910.993
농장명0.9910.9911.0000.997
주소1.0000.9930.9971.000

Missing values

2023-12-12T14:09:41.204788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:09:41.330473image/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

가금류종류사육두수농장명주소데이터기준일자
0산란종계270,000대영농원1경상북도 의성군 비안면 교화길 6102021-06-30
1산란종계180,000대영농원2경상북도 의성군 다인면 상주다인로 1106-422021-06-30
2산란중추150,000진우축산경상북도 의성군 금성면 공룡로 2762021-06-30
3산란중추32,000대봉중추농장경상북도 의성군 다인면 자미로 8742021-06-30
4산란계490,000의성축산경상북도 의성군 가음면 장제지길 195-672021-06-30
5산란계2,500성일농장경상북도 의성군 구천면 모흥1길 30-462021-06-30
6산란계130,000대호농장경상북도 의성군 금성면 도경4길 184-282021-06-30
7산란계150,000대호축산경상북도 의성군 금성면 도경4길 184-152021-06-30
8산란계6,500방하 농장경상북도 의성군 금성면 탑리6길 39-152021-06-30
9산란계12,000청용농장경상북도 의성군 금성면 탑리6길 77-42021-06-30
가금류종류사육두수농장명주소데이터기준일자
40육계110,000운호양계경상북도 의성군 안평면 월안길 267-632021-06-30
41육계90,000운호양계영농조합경상북도 의성군 안평면 월안길 267-632021-06-30
42육계42,000한우리 농장경상북도 의성군 안평면 괴산1길 45-82021-06-30
43육계70,000천등산 농장경상북도 의성군 안평면 괴산2길 168-92021-06-30
44육계70,000천등산 농장경상북도 의성군 안평면 괴산2길 168-92021-06-30
45육계70,000천등산 농장경상북도 의성군 안평면 괴산2길 168-92021-06-30
46육계40,000호성농장경상북도 의성군 안평면 괴산1길 412021-06-30
47육계56,000대박축산경상북도 의성군 안평면 석탑2길 5-782021-06-30
48육계45,260안평농장경상북도 의성군 안평면 신안1길 82021-06-30
49육용종계100,000신기농장경상북도 의성군 안계면 도덕리 732-62021-06-30

Duplicate rows

Most frequently occurring

가금류종류사육두수농장명주소데이터기준일자# duplicates
0육계70,000천등산 농장경상북도 의성군 안평면 괴산2길 168-92021-06-303