Overview

Dataset statistics

Number of variables5
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory44.8 B

Variable types

Numeric2
Categorical2
Text1

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
사육수 has 3 (6.2%) zerosZeros

Reproduction

Analysis started2024-03-14 02:54:40.337235
Analysis finished2024-03-14 02:54:40.907514
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-14T11:54:40.968252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2024-03-14T11:54:41.082437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

축종
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
육계
39 
종계/산란계
9 

Length

Max length6
Median length2
Mean length2.75
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
육계 39
81.2%
종계/산란계 9
 
18.8%

Length

2024-03-14T11:54:41.190852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:54:41.274114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
육계 39
81.2%
종계/산란계 9
 
18.8%

사육수
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35603.958
Minimum0
Maximum230000
Zeros3
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-14T11:54:41.356976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35
Q12300
median31000
Q351000
95-th percentile88250
Maximum230000
Range230000
Interquartile range (IQR)48700

Descriptive statistics

Standard deviation40617.576
Coefficient of variation (CV)1.1408163
Kurtosis10.049722
Mean35603.958
Median Absolute Deviation (MAD)28250
Skewness2.4713522
Sum1708990
Variance1.6497875 × 109
MonotonicityNot monotonic
2024-03-14T11:54:41.450518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
35000 4
 
8.3%
50000 3
 
6.2%
30000 3
 
6.2%
0 3
 
6.2%
65000 2
 
4.2%
60000 2
 
4.2%
40000 2
 
4.2%
80000 2
 
4.2%
100 2
 
4.2%
20000 2
 
4.2%
Other values (23) 23
47.9%
ValueCountFrequency (%)
0 3
6.2%
100 2
4.2%
150 1
 
2.1%
240 1
 
2.1%
300 1
 
2.1%
400 1
 
2.1%
1000 1
 
2.1%
1200 1
 
2.1%
1700 1
 
2.1%
2500 1
 
2.1%
ValueCountFrequency (%)
230000 1
 
2.1%
95000 1
 
2.1%
90000 1
 
2.1%
85000 1
 
2.1%
80000 2
4.2%
75000 1
 
2.1%
65000 2
4.2%
60000 2
4.2%
54000 1
 
2.1%
50000 3
6.2%

상세주소
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-14T11:54:41.685292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30.5
Mean length21.354167
Min length15

Characters and Unicode

Total characters1025
Distinct characters79
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

Unique48 ?
Unique (%)100.0%

Sample

1st row 경천면 가천리 673번지
2nd row 봉동읍 장구리 25번지 1호 (외 4필지)
3rd row 화산면 화월리 1303번지 1호 (외 2필지)
4th row 구이면 백여리 975번지 1호
5th row 고산면 화정리 93번지 (외 1필지)
ValueCountFrequency (%)
외 18
 
8.3%
화산면 11
 
5.1%
1호 9
 
4.1%
2호 6
 
2.8%
고산면 6
 
2.8%
용진읍 6
 
2.8%
1필지 5
 
2.3%
2필지 5
 
2.3%
이문리 4
 
1.8%
봉동읍 4
 
1.8%
Other values (104) 143
65.9%
2024-03-14T11:54:42.148858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
290
28.3%
지 66
 
6.4%
리 51
 
5.0%
번 48
 
4.7%
1 44
 
4.3%
면 38
 
3.7%
2 30
 
2.9%
3 28
 
2.7%
4 27
 
2.6%
호 27
 
2.6%
Other values (69) 376
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 475
46.3%
Space Separator 290
28.3%
Decimal Number 218
21.3%
Open Punctuation 16
 
1.6%
Close Punctuation 16
 
1.6%
Dash Punctuation 6
 
0.6%
Other Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 66
13.9%
리 51
 
10.7%
번 48
 
10.1%
면 38
 
8.0%
호 27
 
5.7%
산 21
 
4.4%
외 18
 
3.8%
필 18
 
3.8%
화 17
 
3.6%
이 13
 
2.7%
Other values (54) 158
33.3%
Decimal Number
ValueCountFrequency (%)
1 44
20.2%
2 30
13.8%
3 28
12.8%
4 27
12.4%
7 25
11.5%
5 16
 
7.3%
9 15
 
6.9%
8 12
 
5.5%
6 11
 
5.0%
0 10
 
4.6%
Space Separator
ValueCountFrequency (%)
290
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 550
53.7%
Hangul 475
46.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 66
13.9%
리 51
 
10.7%
번 48
 
10.1%
면 38
 
8.0%
호 27
 
5.7%
산 21
 
4.4%
외 18
 
3.8%
필 18
 
3.8%
화 17
 
3.6%
이 13
 
2.7%
Other values (54) 158
33.3%
Common
ValueCountFrequency (%)
290
52.7%
1 44
 
8.0%
2 30
 
5.5%
3 28
 
5.1%
4 27
 
4.9%
7 25
 
4.5%
5 16
 
2.9%
( 16
 
2.9%
) 16
 
2.9%
9 15
 
2.7%
Other values (5) 43
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 550
53.7%
Hangul 475
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
290
52.7%
1 44
 
8.0%
2 30
 
5.5%
3 28
 
5.1%
4 27
 
4.9%
7 25
 
4.5%
5 16
 
2.9%
( 16
 
2.9%
) 16
 
2.9%
9 15
 
2.7%
Other values (5) 43
 
7.8%
Hangul
ValueCountFrequency (%)
지 66
13.9%
리 51
 
10.7%
번 48
 
10.1%
면 38
 
8.0%
호 27
 
5.7%
산 21
 
4.4%
외 18
 
3.8%
필 18
 
3.8%
화 17
 
3.6%
이 13
 
2.7%
Other values (54) 158
33.3%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-02-27
48 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-02-27
2nd row2023-02-27
3rd row2023-02-27
4th row2023-02-27
5th row2023-02-27

Common Values

ValueCountFrequency (%)
2023-02-27 48
100.0%

Length

2024-03-14T11:54:42.276970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:54:42.351868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-02-27 48
100.0%

Interactions

2024-03-14T11:54:40.591245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:54:40.459976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:54:40.662707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:54:40.522953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:54:42.404572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호축종사육수상세주소
번호1.0000.6650.4571.000
축종0.6651.0000.6361.000
사육수0.4570.6361.0001.000
상세주소1.0001.0001.0001.000
2024-03-14T11:54:42.494396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호사육수축종
번호1.000-0.4600.467
사육수-0.4601.0000.441
축종0.4670.4411.000

Missing values

2024-03-14T11:54:40.773321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:54:40.869903image/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
01종계/산란계3300경천면 가천리 673번지2023-02-27
12육계30000봉동읍 장구리 25번지 1호 (외 4필지)2023-02-27
23육계40000화산면 화월리 1303번지 1호 (외 2필지)2023-02-27
34육계30000구이면 백여리 975번지 1호2023-02-27
45육계80000고산면 화정리 93번지 (외 1필지)2023-02-27
56육계50000고산면 서봉리 404번지2023-02-27
67육계41000고산면 화정리 141번지 외 3필지2023-02-27
78육계95000화산면 춘산리 329번지 2호2023-02-27
89육계50000화산면 성북리 220번지 (외 1필지)2023-02-27
910육계90000화산면 운산리 267번지 (외 4필지)2023-02-27
번호축종사육수상세주소데이터 기준일자
3839종계/산란계1700용진읍 상삼리 299번지2023-02-27
3940종계/산란계400용진읍 상운리 703번지2023-02-27
4041종계/산란계300용진읍 구억리 553번지 3호2023-02-27
4142육계230000화산면 화월리 1164번지 (화산면 화월리 1149)2023-02-27
4243육계0동상면 수만리 131번지2023-02-27
4344종계/산란계240용진읍 구억리 165번지 4호2023-02-27
4445육계100운주면 구제리 592번지2023-02-27
4546육계20000이서면 이문리 413번지 5호 (외 3필지)2023-02-27
4647육계65000화산면 승치리 567번지 2호 (외 1필지)2023-02-27
4748육계0봉동읍 장구리 17번지 ,19-1,19-2,19-32023-02-27