Overview

Dataset statistics

Number of variables6
Number of observations63
Missing cells7
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory51.0 B

Variable types

Text2
Categorical2
DateTime1
Numeric1

Dataset

Description경기도 김포시 가금류 농장 현황(농장명,구분명,소재지도로명주소,소재지지번주소,사육마리수, 데이터 기준일자)등의 정보를 제공하고 있습니다.
Author경기도 김포시
URLhttps://www.data.go.kr/data/15037670/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
사육두수 is highly overall correlated with 주사육업종High correlation
주사육업종 is highly overall correlated with 사육두수High correlation
사육두수 has 7 (11.1%) missing valuesMissing
사업장소재지(지번) has unique valuesUnique

Reproduction

Analysis started2024-03-14 15:15:07.189996
Analysis finished2024-03-14 15:15:08.423260
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명칭
Text

Distinct62
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size632.0 B
2024-03-15T00:15:09.219274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length4
Mean length4.5396825
Min length2

Characters and Unicode

Total characters286
Distinct characters101
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

Unique61 ?
Unique (%)96.8%

Sample

1st row주일농장
2nd row푸른농장
3rd row금화농장
4th row방글농장
5th row일진농장
ValueCountFrequency (%)
부부농장 2
 
2.8%
김포 2
 
2.8%
농장 2
 
2.8%
효운농장 1
 
1.4%
산천농장 1
 
1.4%
시암청정농원 1
 
1.4%
우리집토종닭 1
 
1.4%
성수농장 1
 
1.4%
공주양계장 1
 
1.4%
담안에 1
 
1.4%
Other values (58) 58
81.7%
2024-03-15T00:15:10.645893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 54
 
18.9%
장 52
 
18.2%
8
 
2.8%
산 8
 
2.8%
원 8
 
2.8%
부 4
 
1.4%
대 4
 
1.4%
성 4
 
1.4%
수 4
 
1.4%
기 3
 
1.0%
Other values (91) 137
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 274
95.8%
Space Separator 8
 
2.8%
Decimal Number 2
 
0.7%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 54
19.7%
장 52
 
19.0%
산 8
 
2.9%
원 8
 
2.9%
부 4
 
1.5%
대 4
 
1.5%
성 4
 
1.5%
수 4
 
1.5%
기 3
 
1.1%
양 3
 
1.1%
Other values (87) 130
47.4%
Space Separator
ValueCountFrequency (%)
8
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 274
95.8%
Common 12
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 54
19.7%
장 52
 
19.0%
산 8
 
2.9%
원 8
 
2.9%
부 4
 
1.5%
대 4
 
1.5%
성 4
 
1.5%
수 4
 
1.5%
기 3
 
1.1%
양 3
 
1.1%
Other values (87) 130
47.4%
Common
ValueCountFrequency (%)
8
66.7%
2 2
 
16.7%
) 1
 
8.3%
( 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 274
95.8%
ASCII 12
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 54
19.7%
장 52
 
19.0%
산 8
 
2.9%
원 8
 
2.9%
부 4
 
1.5%
대 4
 
1.5%
성 4
 
1.5%
수 4
 
1.5%
기 3
 
1.1%
양 3
 
1.1%
Other values (87) 130
47.4%
ASCII
ValueCountFrequency (%)
8
66.7%
2 2
 
16.7%
) 1
 
8.3%
( 1
 
8.3%

주사육업종
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size632.0 B
육계
37 
종계/산란계
20 
메추리
6 

Length

Max length6
Median length2
Mean length3.3650794
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종계/산란계
2nd row종계/산란계
3rd row종계/산란계
4th row종계/산란계
5th row종계/산란계

Common Values

ValueCountFrequency (%)
육계 37
58.7%
종계/산란계 20
31.7%
메추리 6
 
9.5%

Length

2024-03-15T00:15:11.092428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:15:11.440709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
육계 37
58.7%
종계/산란계 20
31.7%
메추리 6
 
9.5%

사업장소재지(지번)
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size632.0 B
2024-03-15T00:15:12.607233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length42
Mean length25.761905
Min length21

Characters and Unicode

Total characters1623
Distinct characters75
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

Unique63 ?
Unique (%)100.0%

Sample

1st row경기도 김포시 양촌읍 학운리 산 20번지
2nd row경기도 김포시 통진읍 가현리 산 50번지 3호
3rd row경기도 김포시 월곶면 고양리 629번지
4th row경기도 김포시 하성면 봉성리 258번지 2호
5th row경기도 김포시 통진읍 가현리 324번지
ValueCountFrequency (%)
경기도 63
 
17.1%
김포시 63
 
17.1%
대곶면 20
 
5.4%
통진읍 13
 
3.5%
양촌읍 12
 
3.3%
1호 10
 
2.7%
하성면 9
 
2.4%
산 7
 
1.9%
가현리 6
 
1.6%
월곶면 6
 
1.6%
Other values (116) 159
43.2%
2024-03-15T00:15:14.061416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
424
26.1%
시 67
 
4.1%
포 65
 
4.0%
번 64
 
3.9%
지 64
 
3.9%
경 63
 
3.9%
도 63
 
3.9%
김 63
 
3.9%
기 63
 
3.9%
리 62
 
3.8%
Other values (65) 625
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 922
56.8%
Space Separator 424
26.1%
Decimal Number 258
 
15.9%
Other Punctuation 11
 
0.7%
Dash Punctuation 8
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 67
 
7.3%
포 65
 
7.0%
번 64
 
6.9%
지 64
 
6.9%
경 63
 
6.8%
도 63
 
6.8%
김 63
 
6.8%
기 63
 
6.8%
리 62
 
6.7%
면 35
 
3.8%
Other values (52) 313
33.9%
Decimal Number
ValueCountFrequency (%)
1 44
17.1%
2 38
14.7%
3 31
12.0%
4 28
10.9%
0 24
9.3%
5 22
8.5%
9 20
7.8%
8 20
7.8%
6 17
 
6.6%
7 14
 
5.4%
Space Separator
ValueCountFrequency (%)
424
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 922
56.8%
Common 701
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 67
 
7.3%
포 65
 
7.0%
번 64
 
6.9%
지 64
 
6.9%
경 63
 
6.8%
도 63
 
6.8%
김 63
 
6.8%
기 63
 
6.8%
리 62
 
6.7%
면 35
 
3.8%
Other values (52) 313
33.9%
Common
ValueCountFrequency (%)
424
60.5%
1 44
 
6.3%
2 38
 
5.4%
3 31
 
4.4%
4 28
 
4.0%
0 24
 
3.4%
5 22
 
3.1%
9 20
 
2.9%
8 20
 
2.9%
6 17
 
2.4%
Other values (3) 33
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 922
56.8%
ASCII 701
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
424
60.5%
1 44
 
6.3%
2 38
 
5.4%
3 31
 
4.4%
4 28
 
4.0%
0 24
 
3.4%
5 22
 
3.1%
9 20
 
2.9%
8 20
 
2.9%
6 17
 
2.4%
Other values (3) 33
 
4.7%
Hangul
ValueCountFrequency (%)
시 67
 
7.3%
포 65
 
7.0%
번 64
 
6.9%
지 64
 
6.9%
경 63
 
6.8%
도 63
 
6.8%
김 63
 
6.8%
기 63
 
6.8%
리 62
 
6.7%
면 35
 
3.8%
Other values (52) 313
33.9%

등록일자
Date

Distinct52
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size632.0 B
Minimum2004-10-11 00:00:00
Maximum2022-09-08 00:00:00
2024-03-15T00:15:14.361045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:15:14.595298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사육두수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct36
Distinct (%)64.3%
Missing7
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean49188.018
Minimum100
Maximum420000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size695.0 B
2024-03-15T00:15:14.827489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile150
Q110000
median25000
Q346256.75
95-th percentile235910
Maximum420000
Range419900
Interquartile range (IQR)36256.75

Descriptive statistics

Standard deviation83001.844
Coefficient of variation (CV)1.6874403
Kurtosis10.764944
Mean49188.018
Median Absolute Deviation (MAD)16600
Skewness3.2162993
Sum2754529
Variance6.889306 × 109
MonotonicityNot monotonic
2024-03-15T00:15:15.052684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
25000 6
 
9.5%
12000 4
 
6.3%
300 3
 
4.8%
10000 3
 
4.8%
20000 2
 
3.2%
70000 2
 
3.2%
100 2
 
3.2%
40000 2
 
3.2%
50000 2
 
3.2%
80000 2
 
3.2%
Other values (26) 28
44.4%
(Missing) 7
 
11.1%
ValueCountFrequency (%)
100 2
3.2%
150 2
3.2%
200 1
 
1.6%
300 3
4.8%
400 1
 
1.6%
440 1
 
1.6%
2000 1
 
1.6%
7800 1
 
1.6%
9000 1
 
1.6%
10000 3
4.8%
ValueCountFrequency (%)
420000 1
1.6%
370000 1
1.6%
260000 1
1.6%
227880 1
1.6%
120000 1
1.6%
94700 1
1.6%
82000 1
1.6%
80000 2
3.2%
70000 2
3.2%
61000 1
1.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size632.0 B
2024-01-12
63 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-12
2nd row2024-01-12
3rd row2024-01-12
4th row2024-01-12
5th row2024-01-12

Common Values

ValueCountFrequency (%)
2024-01-12 63
100.0%

Length

2024-03-15T00:15:15.285572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:15:15.525505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-12 63
100.0%

Interactions

2024-03-15T00:15:07.614874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T00:15:15.628048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명칭주사육업종사업장소재지(지번)등록일자사육두수
사업장명칭1.0001.0001.0000.9941.000
주사육업종1.0001.0001.0000.8190.656
사업장소재지(지번)1.0001.0001.0001.0001.000
등록일자0.9940.8191.0001.0000.688
사육두수1.0000.6561.0000.6881.000
2024-03-15T00:15:15.796997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수주사육업종
사육두수1.0000.536
주사육업종0.5361.000

Missing values

2024-03-15T00:15:07.930433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:15:08.280795image/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

사업장명칭주사육업종사업장소재지(지번)등록일자사육두수데이터기준일자
0주일농장종계/산란계경기도 김포시 양촌읍 학운리 산 20번지2004-10-11120002024-01-12
1푸른농장종계/산란계경기도 김포시 통진읍 가현리 산 50번지 3호2004-10-11450092024-01-12
2금화농장종계/산란계경기도 김포시 월곶면 고양리 629번지2004-11-052278802024-01-12
3방글농장종계/산란계경기도 김포시 하성면 봉성리 258번지 2호2004-12-01120002024-01-12
4일진농장종계/산란계경기도 김포시 통진읍 가현리 324번지2004-12-2020002024-01-12
5준희농장종계/산란계경기도 김포시 통진읍 가현리 622번지 3호2004-12-2178002024-01-12
6도수농장종계/산란계경기도 김포시 통진읍 마송리 399번지 3호2004-12-21610002024-01-12
7태경농장종계/산란계경기도 김포시 월곶면 군하리 323번지 30호2004-12-21<NA>2024-01-12
8유성농장종계/산란계경기도 김포시 대곶면 석정리 46번지 2호2005-03-04<NA>2024-01-12
9약산농장종계/산란계경기도 김포시 대곶면 약암리 산 47번지 1호2005-05-06120002024-01-12
사업장명칭주사육업종사업장소재지(지번)등록일자사육두수데이터기준일자
53선풍농장육계경기도 김포시 대곶면 석정리 112번지2018-08-31100002024-01-12
54백세농장육계경기도 김포시 통진읍 동을산리 159번지 1호2018-10-30250002024-01-12
55대고산농장육계경기도 김포시 대곶면 대명리 615번지 1호2020-07-241502024-01-12
56재영농장육계경기도 김포시 하성면 석탄리 1075번지2021-09-02<NA>2024-01-12
57하성축산메추리경기도 김포시 하성면 마조리 709번지2013-07-253700002024-01-12
58하성농장메추리경기도 김포시 하성면 시암리 624번지 2호2013-07-251200002024-01-12
59김포메추리농장메추리경기도 김포시 통진읍 가현리 347번지 4호2013-08-272600002024-01-12
60쇄암축산메추리경기도 김포시 대곶면 쇄암리 56번지 1호2013-10-15700002024-01-12
61대박축산메추리경기도 김포시 대곶면 대능리 886번지2015-03-054200002024-01-12
62친환경 김포메추리경기도 김포시 대곶면 약암리 268번지2022-09-08<NA>2024-01-12