Overview

Dataset statistics

Number of variables7
Number of observations510
Missing cells258
Missing cells (%)7.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.0 KiB
Average record size in memory56.3 B

Variable types

Text3
Categorical3
DateTime1

Dataset

Description신안군 축산농가 사업장명, 사업장소재지, 주사육업종, 사육두수, 영업상태등 현황 자료입니다. 참고 하시길 바랍니다.
Author전라남도 신안군
URLhttps://www.data.go.kr/data/15064463/fileData.do

Alerts

영업상태구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
주사육업종 is highly imbalanced (80.9%)Imbalance
사업장소재지(도로명) has 258 (50.6%) missing valuesMissing

Reproduction

Analysis started2023-12-16 15:37:57.324543
Analysis finished2023-12-16 15:37:59.842840
Duration2.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct486
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-16T15:38:00.811489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length4
Mean length4.2254902
Min length2

Characters and Unicode

Total characters2155
Distinct characters250
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique464 ?
Unique (%)91.0%

Sample

1st row섬마을농원
2nd row실로마루영농조합법인
3rd row정현농장
4th row자은농장
5th row상열축산
ValueCountFrequency (%)
임마누엘 3
 
0.6%
재철농장 3
 
0.6%
헌영축산 2
 
0.4%
동석농장 2
 
0.4%
가룡농장 2
 
0.4%
봉리축산 2
 
0.4%
정남농장 2
 
0.4%
성수농장 2
 
0.4%
형제축산 2
 
0.4%
현우농장 2
 
0.4%
Other values (482) 494
95.7%
2023-12-16T15:38:02.375940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
327
 
15.2%
314
 
14.6%
168
 
7.8%
162
 
7.5%
41
 
1.9%
26
 
1.2%
24
 
1.1%
23
 
1.1%
23
 
1.1%
22
 
1.0%
Other values (240) 1025
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2124
98.6%
Decimal Number 20
 
0.9%
Space Separator 6
 
0.3%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
327
 
15.4%
314
 
14.8%
168
 
7.9%
162
 
7.6%
41
 
1.9%
26
 
1.2%
24
 
1.1%
23
 
1.1%
23
 
1.1%
22
 
1.0%
Other values (231) 994
46.8%
Decimal Number
ValueCountFrequency (%)
2 11
55.0%
3 3
 
15.0%
4 2
 
10.0%
0 2
 
10.0%
1 2
 
10.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2124
98.6%
Common 30
 
1.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
327
 
15.4%
314
 
14.8%
168
 
7.9%
162
 
7.6%
41
 
1.9%
26
 
1.2%
24
 
1.1%
23
 
1.1%
23
 
1.1%
22
 
1.0%
Other values (231) 994
46.8%
Common
ValueCountFrequency (%)
2 11
36.7%
6
20.0%
3 3
 
10.0%
( 2
 
6.7%
4 2
 
6.7%
0 2
 
6.7%
) 2
 
6.7%
1 2
 
6.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2124
98.6%
ASCII 31
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
327
 
15.4%
314
 
14.8%
168
 
7.9%
162
 
7.6%
41
 
1.9%
26
 
1.2%
24
 
1.1%
23
 
1.1%
23
 
1.1%
22
 
1.0%
Other values (231) 994
46.8%
ASCII
ValueCountFrequency (%)
2 11
35.5%
6
19.4%
3 3
 
9.7%
( 2
 
6.5%
4 2
 
6.5%
0 2
 
6.5%
) 2
 
6.5%
1 2
 
6.5%
A 1
 
3.2%

주사육업종
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
한우
471 
돼지
 
21
염소
 
8
사슴
 
4
산양
 
3
Other values (2)
 
3

Length

Max length6
Median length2
Mean length2.0156863
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
한우 471
92.4%
돼지 21
 
4.1%
염소 8
 
1.6%
사슴 4
 
0.8%
산양 3
 
0.6%
종계/산란계 2
 
0.4%
육계 1
 
0.2%

Length

2023-12-16T15:38:03.134859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:38:04.010686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 471
92.4%
돼지 21
 
4.1%
염소 8
 
1.6%
사슴 4
 
0.8%
산양 3
 
0.6%
종계/산란계 2
 
0.4%
육계 1
 
0.2%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
등록/허가
357 
희망등록
153 

Length

Max length6
Median length6
Mean length5.4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row등록/허가
2nd row등록/허가
3rd row등록/허가
4th row등록/허가
5th row등록/허가

Common Values

ValueCountFrequency (%)
등록/허가 357
70.0%
희망등록 153
30.0%

Length

2023-12-16T15:38:05.095546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:38:06.059582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록/허가 357
70.0%
희망등록 153
30.0%
Distinct501
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-16T15:38:07.934413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length51
Mean length25.805882
Min length4

Characters and Unicode

Total characters13161
Distinct characters128
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique493 ?
Unique (%)96.7%

Sample

1st row전라남도 신안군 압해읍 대천리 843번지 1호
2nd row전라남도 신안군 지도읍 자동리 554번지
3rd row전라남도 신안군 압해읍 분매리 232번지 2호
4th row전라남도 신안군 자은면 백산리 82610번지
5th row전라남도 신안군 자은면 유각리 296번지 1호
ValueCountFrequency (%)
전라남도 507
 
17.9%
신안군 507
 
17.9%
압해읍 156
 
5.5%
지도읍 126
 
4.5%
1호 79
 
2.8%
안좌면 47
 
1.7%
장산면 41
 
1.5%
분매리 33
 
1.2%
신장리 32
 
1.1%
임자면 30
 
1.1%
Other values (584) 1269
44.9%
2023-12-16T15:38:10.221375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3307
25.1%
702
 
5.3%
647
 
4.9%
557
 
4.2%
554
 
4.2%
510
 
3.9%
509
 
3.9%
507
 
3.9%
507
 
3.9%
507
 
3.9%
Other values (118) 4854
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7863
59.7%
Space Separator 3307
25.1%
Decimal Number 1947
 
14.8%
Dash Punctuation 20
 
0.2%
Other Punctuation 14
 
0.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
702
 
8.9%
647
 
8.2%
557
 
7.1%
554
 
7.0%
510
 
6.5%
509
 
6.5%
507
 
6.4%
507
 
6.4%
507
 
6.4%
502
 
6.4%
Other values (103) 2361
30.0%
Decimal Number
ValueCountFrequency (%)
1 434
22.3%
2 230
11.8%
3 207
10.6%
4 205
10.5%
6 179
9.2%
5 167
 
8.6%
7 147
 
7.6%
8 132
 
6.8%
9 128
 
6.6%
0 118
 
6.1%
Space Separator
ValueCountFrequency (%)
3307
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7863
59.7%
Common 5298
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
702
 
8.9%
647
 
8.2%
557
 
7.1%
554
 
7.0%
510
 
6.5%
509
 
6.5%
507
 
6.4%
507
 
6.4%
507
 
6.4%
502
 
6.4%
Other values (103) 2361
30.0%
Common
ValueCountFrequency (%)
3307
62.4%
1 434
 
8.2%
2 230
 
4.3%
3 207
 
3.9%
4 205
 
3.9%
6 179
 
3.4%
5 167
 
3.2%
7 147
 
2.8%
8 132
 
2.5%
9 128
 
2.4%
Other values (5) 162
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7863
59.7%
ASCII 5298
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3307
62.4%
1 434
 
8.2%
2 230
 
4.3%
3 207
 
3.9%
4 205
 
3.9%
6 179
 
3.4%
5 167
 
3.2%
7 147
 
2.8%
8 132
 
2.5%
9 128
 
2.4%
Other values (5) 162
 
3.1%
Hangul
ValueCountFrequency (%)
702
 
8.9%
647
 
8.2%
557
 
7.1%
554
 
7.0%
510
 
6.5%
509
 
6.5%
507
 
6.4%
507
 
6.4%
507
 
6.4%
502
 
6.4%
Other values (103) 2361
30.0%
Distinct243
Distinct (%)96.4%
Missing258
Missing (%)50.6%
Memory size4.1 KiB
2023-12-16T15:38:11.296224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length22.25
Min length18

Characters and Unicode

Total characters5607
Distinct characters153
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique235 ?
Unique (%)93.3%

Sample

1st row전라남도 신안군 압해읍 대벌길 98
2nd row전라남도 신안군 지도읍 원자동길 11-160
3rd row전라남도 신안군 압해읍 두지숭의길 61-8
4th row전라남도 신안군 도초면 춘경리길 34
5th row전라남도 신안군 도초면 도초월포길 3-20
ValueCountFrequency (%)
전라남도 252
19.9%
신안군 252
19.9%
압해읍 76
 
6.0%
지도읍 68
 
5.4%
안좌면 24
 
1.9%
장산면 16
 
1.3%
임자면 16
 
1.3%
도초면 13
 
1.0%
증도면 12
 
0.9%
봉리길 11
 
0.9%
Other values (358) 528
41.6%
2023-12-16T15:38:13.549300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1016
18.1%
374
 
6.7%
280
 
5.0%
262
 
4.7%
255
 
4.5%
254
 
4.5%
254
 
4.5%
253
 
4.5%
206
 
3.7%
1 188
 
3.4%
Other values (143) 2265
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3449
61.5%
Space Separator 1016
 
18.1%
Decimal Number 966
 
17.2%
Dash Punctuation 166
 
3.0%
Other Punctuation 6
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
374
 
10.8%
280
 
8.1%
262
 
7.6%
255
 
7.4%
254
 
7.4%
254
 
7.4%
253
 
7.3%
206
 
6.0%
144
 
4.2%
109
 
3.2%
Other values (125) 1058
30.7%
Decimal Number
ValueCountFrequency (%)
1 188
19.5%
2 126
13.0%
3 107
11.1%
4 106
11.0%
6 85
8.8%
5 78
8.1%
7 77
8.0%
8 77
8.0%
0 65
 
6.7%
9 57
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
* 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 1
50.0%
[ 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 1
50.0%
] 1
50.0%
Space Separator
ValueCountFrequency (%)
1016
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3449
61.5%
Common 2158
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
374
 
10.8%
280
 
8.1%
262
 
7.6%
255
 
7.4%
254
 
7.4%
254
 
7.4%
253
 
7.3%
206
 
6.0%
144
 
4.2%
109
 
3.2%
Other values (125) 1058
30.7%
Common
ValueCountFrequency (%)
1016
47.1%
1 188
 
8.7%
- 166
 
7.7%
2 126
 
5.8%
3 107
 
5.0%
4 106
 
4.9%
6 85
 
3.9%
5 78
 
3.6%
7 77
 
3.6%
8 77
 
3.6%
Other values (8) 132
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3449
61.5%
ASCII 2158
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1016
47.1%
1 188
 
8.7%
- 166
 
7.7%
2 126
 
5.8%
3 107
 
5.0%
4 106
 
4.9%
6 85
 
3.9%
5 78
 
3.6%
7 77
 
3.6%
8 77
 
3.6%
Other values (8) 132
 
6.1%
Hangul
ValueCountFrequency (%)
374
 
10.8%
280
 
8.1%
262
 
7.6%
255
 
7.4%
254
 
7.4%
254
 
7.4%
253
 
7.3%
206
 
6.0%
144
 
4.2%
109
 
3.2%
Other values (125) 1058
30.7%

영업상태구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
정상
510 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 510
100.0%

Length

2023-12-16T15:38:14.278547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:38:14.753311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 510
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2023-12-11 00:00:00
Maximum2023-12-11 00:00:00
2023-12-16T15:38:15.202085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:38:15.710709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-16T15:38:15.940972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주사육업종등록대상여부
주사육업종1.0000.081
등록대상여부0.0811.000
2023-12-16T15:38:16.358387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주사육업종등록대상여부
주사육업종1.0000.086
등록대상여부0.0861.000
2023-12-16T15:38:16.682667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주사육업종등록대상여부
주사육업종1.0000.086
등록대상여부0.0861.000

Missing values

2023-12-16T15:37:58.872744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:37:59.526499image/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

사업장명칭주사육업종등록대상여부사업장소재지(지번)사업장소재지(도로명)영업상태구분데이터기준일자
0섬마을농원돼지등록/허가전라남도 신안군 압해읍 대천리 843번지 1호전라남도 신안군 압해읍 대벌길 98정상2023-12-11
1실로마루영농조합법인돼지등록/허가전라남도 신안군 지도읍 자동리 554번지전라남도 신안군 지도읍 원자동길 11-160정상2023-12-11
2정현농장돼지등록/허가전라남도 신안군 압해읍 분매리 232번지 2호전라남도 신안군 압해읍 두지숭의길 61-8정상2023-12-11
3자은농장한우등록/허가전라남도 신안군 자은면 백산리 82610번지<NA>정상2023-12-11
4상열축산한우등록/허가전라남도 신안군 자은면 유각리 296번지 1호<NA>정상2023-12-11
5대성농장한우등록/허가전라남도 신안군 도초면 발매리 170번지전라남도 신안군 도초면 춘경리길 34정상2023-12-11
6장암농장한우등록/허가전라남도 신안군 도초면 발매리 42번지전라남도 신안군 도초면 도초월포길 3-20정상2023-12-11
7홍민농장한우등록/허가전라남도 신안군 도초면 고란리 785번지 외 4필지<NA>정상2023-12-11
8복수농장한우등록/허가전라남도 신안군 도초면 발매리 729번지전라남도 신안군 도초면 도초월포길 99정상2023-12-11
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사업장명칭주사육업종등록대상여부사업장소재지(지번)사업장소재지(도로명)영업상태구분데이터기준일자
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501지구농장한우등록/허가전라남도 신안군 압해읍 복룡리 1111번지 15호전라남도 신안군 압해읍 복룡로 427-56정상2023-12-11
502패밀리농장한우등록/허가전라남도 신안군 안좌면 대리 297번지 외5필지(297-4, 297-3, 297-7임, 299, 299-2)전라남도 신안군 안좌면 중부로 110-37정상2023-12-11
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504임마누엘한우등록/허가전라남도 신안군 임자면 대기리 1668번지 외1필지(1652)전라남도 신안군 임자면 임자서길 291-16정상2023-12-11
505길옥농장3한우등록/허가전라남도 신안군 도초면 이곡리 1669번지 3호 외 1필지(1669-4)전라남도 신안군 도초면 도초동부길 619정상2023-12-11
506용진농장한우등록/허가전라남도 신안군 도초면 이곡리 369번지 외1필지(370)전라남도 신안군 도초면 도초동부길 624정상2023-12-11
507대부농장염소등록/허가전라남도 신안군 압해읍 신용리 887번지전라남도 신안군 압해읍 회룡길 51-125정상2023-12-11
508죽곡농장한우등록/허가전라남도 신안군 지도읍 봉리 141번지 2호전라남도 신안군 지도읍 봉리길 559-52정상2023-12-11
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