Overview

Dataset statistics

Number of variables5
Number of observations259
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.2 KiB
Average record size in memory40.5 B

Variable types

Text3
Categorical1
DateTime1

Dataset

Description경기도 김포시 관내 위치한 우제류 축산 농가 현황(농장명, 축종, 사육두수, 소재지 주소 등)의 정보를 제공하고 있습니다.
Author경기도 김포시
URLhttps://www.data.go.kr/data/15037675/fileData.do

Alerts

데이터기준일 has constant value ""Constant

Reproduction

Analysis started2023-12-12 22:58:18.517126
Analysis finished2023-12-12 22:58:18.860478
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

농장명
Text

Distinct249
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13T07:58:19.027071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length3.8648649
Min length2

Characters and Unicode

Total characters1001
Distinct characters207
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique240 ?
Unique (%)92.7%

Sample

1st row성민농장
2nd row바다농장
3rd row박옥주
4th row반석
5th row반석목장
ValueCountFrequency (%)
이현구 3
 
1.2%
원복농장 2
 
0.8%
유현목장 2
 
0.8%
혜원목장 2
 
0.8%
김재수 2
 
0.8%
하나농장 2
 
0.8%
미림농장 2
 
0.8%
샛별농장 2
 
0.8%
햇살농장 2
 
0.8%
발해목장 1
 
0.4%
Other values (240) 240
92.3%
2023-12-13T07:58:19.389062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 170
 
17.0%
농 102
 
10.2%
목 66
 
6.6%
성 17
 
1.7%
현 16
 
1.6%
이 15
 
1.5%
원 12
 
1.2%
우 12
 
1.2%
김 12
 
1.2%
연 11
 
1.1%
Other values (197) 568
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 985
98.4%
Decimal Number 10
 
1.0%
Uppercase Letter 4
 
0.4%
Space Separator 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 170
 
17.3%
농 102
 
10.4%
목 66
 
6.7%
성 17
 
1.7%
현 16
 
1.6%
이 15
 
1.5%
원 12
 
1.2%
우 12
 
1.2%
김 12
 
1.2%
연 11
 
1.1%
Other values (189) 552
56.0%
Decimal Number
ValueCountFrequency (%)
2 8
80.0%
1 1
 
10.0%
3 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
I 2
50.0%
K 1
25.0%
N 1
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 985
98.4%
Common 12
 
1.2%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 170
 
17.3%
농 102
 
10.4%
목 66
 
6.7%
성 17
 
1.7%
현 16
 
1.6%
이 15
 
1.5%
원 12
 
1.2%
우 12
 
1.2%
김 12
 
1.2%
연 11
 
1.1%
Other values (189) 552
56.0%
Common
ValueCountFrequency (%)
2 8
66.7%
1
 
8.3%
. 1
 
8.3%
1 1
 
8.3%
3 1
 
8.3%
Latin
ValueCountFrequency (%)
I 2
50.0%
K 1
25.0%
N 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 985
98.4%
ASCII 16
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 170
 
17.3%
농 102
 
10.4%
목 66
 
6.7%
성 17
 
1.7%
현 16
 
1.6%
이 15
 
1.5%
원 12
 
1.2%
우 12
 
1.2%
김 12
 
1.2%
연 11
 
1.1%
Other values (189) 552
56.0%
ASCII
ValueCountFrequency (%)
2 8
50.0%
I 2
 
12.5%
1
 
6.2%
K 1
 
6.2%
. 1
 
6.2%
N 1
 
6.2%
1 1
 
6.2%
3 1
 
6.2%

축종
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
소
201 
염소
35 
사슴
 
14
돼지
 
9

Length

Max length2
Median length1
Mean length1.2239382
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소 201
77.6%
염소 35
 
13.5%
사슴 14
 
5.4%
돼지 9
 
3.5%

Length

2023-12-13T07:58:19.518282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:58:19.605726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소 201
77.6%
염소 35
 
13.5%
사슴 14
 
5.4%
돼지 9
 
3.5%

사육두수
Text

Distinct146
Distinct (%)56.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13T07:58:19.864940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.2972973
Min length1

Characters and Unicode

Total characters595
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

Unique84 ?
Unique (%)32.4%

Sample

1st row3
2nd row3
3rd row16
4th row2
5th row4
ValueCountFrequency (%)
3 10
 
3.9%
16 8
 
3.1%
6 8
 
3.1%
20 8
 
3.1%
9 8
 
3.1%
2 7
 
2.7%
10 7
 
2.7%
4 6
 
2.3%
30 6
 
2.3%
7 6
 
2.3%
Other values (116) 185
71.4%
2023-12-13T07:58:20.310861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 113
19.0%
3 61
10.3%
0 58
9.7%
58
9.7%
2 55
9.2%
5 48
8.1%
9 46
7.7%
6 43
 
7.2%
7 42
 
7.1%
4 38
 
6.4%
Other values (2) 33
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 532
89.4%
Space Separator 58
 
9.7%
Other Punctuation 5
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 113
21.2%
3 61
11.5%
0 58
10.9%
2 55
10.3%
5 48
9.0%
9 46
8.6%
6 43
 
8.1%
7 42
 
7.9%
4 38
 
7.1%
8 28
 
5.3%
Space Separator
ValueCountFrequency (%)
58
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 595
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 113
19.0%
3 61
10.3%
0 58
9.7%
58
9.7%
2 55
9.2%
5 48
8.1%
9 46
7.7%
6 43
 
7.2%
7 42
 
7.1%
4 38
 
6.4%
Other values (2) 33
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 595
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 113
19.0%
3 61
10.3%
0 58
9.7%
58
9.7%
2 55
9.2%
5 48
8.1%
9 46
7.7%
6 43
 
7.2%
7 42
 
7.1%
4 38
 
6.4%
Other values (2) 33
 
5.5%

소재지 주소
Text

Distinct228
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13T07:58:20.621748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length39
Mean length23.895753
Min length16

Characters and Unicode

Total characters6189
Distinct characters121
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

Unique199 ?
Unique (%)76.8%

Sample

1st row경기도 김포시 걸포동 1221
2nd row경기도 김포시 고촌읍 상미로10번길 104-11
3rd row경기도 김포시 고촌읍 상미로10번길 104-11
4th row경기도 김포시 고촌읍 금포로621번길 44
5th row경기도 김포시 고촌읍 금포로621번길 44
ValueCountFrequency (%)
경기도 259
19.4%
김포시 259
19.4%
대곶면 76
 
5.7%
하성면 59
 
4.4%
통진읍 49
 
3.7%
월곶면 43
 
3.2%
양촌읍 17
 
1.3%
가현리 12
 
0.9%
고촌읍 11
 
0.8%
시암리 7
 
0.5%
Other values (367) 541
40.6%
2023-12-13T07:58:21.097958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1077
 
17.4%
포 274
 
4.4%
기 271
 
4.4%
도 266
 
4.3%
시 266
 
4.3%
1 265
 
4.3%
김 260
 
4.2%
경 259
 
4.2%
2 197
 
3.2%
로 192
 
3.1%
Other values (111) 2862
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3474
56.1%
Decimal Number 1386
 
22.4%
Space Separator 1077
 
17.4%
Dash Punctuation 184
 
3.0%
Close Punctuation 34
 
0.5%
Open Punctuation 34
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 274
 
7.9%
기 271
 
7.8%
도 266
 
7.7%
시 266
 
7.7%
김 260
 
7.5%
경 259
 
7.5%
로 192
 
5.5%
면 180
 
5.2%
곶 147
 
4.2%
대 116
 
3.3%
Other values (97) 1243
35.8%
Decimal Number
ValueCountFrequency (%)
1 265
19.1%
2 197
14.2%
3 153
11.0%
4 128
9.2%
0 116
8.4%
5 111
8.0%
7 109
7.9%
6 107
7.7%
8 104
 
7.5%
9 96
 
6.9%
Space Separator
ValueCountFrequency (%)
1077
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 184
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3474
56.1%
Common 2715
43.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 274
 
7.9%
기 271
 
7.8%
도 266
 
7.7%
시 266
 
7.7%
김 260
 
7.5%
경 259
 
7.5%
로 192
 
5.5%
면 180
 
5.2%
곶 147
 
4.2%
대 116
 
3.3%
Other values (97) 1243
35.8%
Common
ValueCountFrequency (%)
1077
39.7%
1 265
 
9.8%
2 197
 
7.3%
- 184
 
6.8%
3 153
 
5.6%
4 128
 
4.7%
0 116
 
4.3%
5 111
 
4.1%
7 109
 
4.0%
6 107
 
3.9%
Other values (4) 268
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3474
56.1%
ASCII 2715
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1077
39.7%
1 265
 
9.8%
2 197
 
7.3%
- 184
 
6.8%
3 153
 
5.6%
4 128
 
4.7%
0 116
 
4.3%
5 111
 
4.1%
7 109
 
4.0%
6 107
 
3.9%
Other values (4) 268
 
9.9%
Hangul
ValueCountFrequency (%)
포 274
 
7.9%
기 271
 
7.8%
도 266
 
7.7%
시 266
 
7.7%
김 260
 
7.5%
경 259
 
7.5%
로 192
 
5.5%
면 180
 
5.2%
곶 147
 
4.2%
대 116
 
3.3%
Other values (97) 1243
35.8%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2023-09-15 00:00:00
Maximum2023-09-15 00:00:00
2023-12-13T07:58:21.200597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:58:21.295150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-13T07:58:18.743592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:58:18.823751image/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

농장명축종사육두수소재지 주소데이터기준일
0성민농장소3경기도 김포시 걸포동 12212023-09-15
1바다농장소3경기도 김포시 고촌읍 상미로10번길 104-112023-09-15
2박옥주소16경기도 김포시 고촌읍 상미로10번길 104-112023-09-15
3반석소2경기도 김포시 고촌읍 금포로621번길 442023-09-15
4반석목장소4경기도 김포시 고촌읍 금포로621번길 442023-09-15
5이종인소7경기도 김포시 고촌읍 금파로367번길 652023-09-15
6금바위농장소10경기도 김포시 고촌읍 상미로9번길 49-62023-09-15
7건국축산소235경기도 김포시 대곶면 율마로256번길 170-122023-09-15
8이병수소93경기도 김포시 대곶면 오니산로 73-222023-09-15
9오삼농원소35경기도 김포시 대곶면 대곶남로446번길 252023-09-15
농장명축종사육두수소재지 주소데이터기준일
249염소농장염소12경기도 김포시 하성면 마근포리 2402023-09-15
250최경흥염소23경기도 김포시 통진읍 옹정리 145-68(옹정로201번길 15)2023-09-15
251안재명염소4경기도 김포시 양촌읍 석모리 682-14(석모1로189번길 104-89)2023-09-15
252하나농장염소8경기도 김포시 대곶면 송마리 13192023-09-15
253박옥희염소13경기도 김포시 고촌읍 태리 804-1(황어로 295)2023-09-15
254김순여염소4경기도 김포시 대곶면 대능리 9042023-09-15
255해오름터농장염소12경기도 김포시 월곶면 개곡리 701(애기봉로312번길 13)2023-09-15
256원복농장염소16경기도 김포시 대곶면 대벽리 8792023-09-15
257권홍만염소4경기도 김포시 통진읍 도사리 226-22023-09-15
258이진남염소8경기도 김포시 통진읍 가현리 696-22023-09-15