Overview

Dataset statistics

Number of variables5
Number of observations43
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory45.1 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 is highly overall correlated with 축종High correlation
축종 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique
상세주소 has unique valuesUnique
사육수 has 4 (9.3%) zerosZeros

Reproduction

Analysis started2024-03-14 02:54:37.220130
Analysis finished2024-03-14 02:54:37.807661
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-03-14T11:54:37.871995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q111.5
median22
Q332.5
95-th percentile40.9
Maximum43
Range42
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.556539
Coefficient of variation (CV)0.57075176
Kurtosis-1.2
Mean22
Median Absolute Deviation (MAD)11
Skewness0
Sum946
Variance157.66667
MonotonicityStrictly increasing
2024-03-14T11:54:37.975677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 1
 
2.3%
2 1
 
2.3%
25 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%
34 1
2.3%

축종
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
육계
34 
종계/산란계
9 

Length

Max length6
Median length2
Mean length2.8372093
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
육계 34
79.1%
종계/산란계 9
 
20.9%

Length

2024-03-14T11:54:38.095951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:54:38.431744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
육계 34
79.1%
종계/산란계 9
 
20.9%

사육수
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35832.326
Minimum0
Maximum230000
Zeros4
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-03-14T11:54:38.542678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11350
median32000
Q355000
95-th percentile89500
Maximum230000
Range230000
Interquartile range (IQR)53650

Descriptive statistics

Standard deviation42870.317
Coefficient of variation (CV)1.1964146
Kurtosis8.8551662
Mean35832.326
Median Absolute Deviation (MAD)29500
Skewness2.3409564
Sum1540790
Variance1.8378641 × 109
MonotonicityNot monotonic
2024-03-14T11:54:38.655059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 4
 
9.3%
35000 3
 
7.0%
50000 3
 
7.0%
60000 2
 
4.7%
40000 2
 
4.7%
30000 2
 
4.7%
80000 2
 
4.7%
100 2
 
4.7%
65000 2
 
4.7%
150 1
 
2.3%
Other values (20) 20
46.5%
ValueCountFrequency (%)
0 4
9.3%
100 2
4.7%
150 1
 
2.3%
240 1
 
2.3%
300 1
 
2.3%
400 1
 
2.3%
1000 1
 
2.3%
1700 1
 
2.3%
2500 1
 
2.3%
3000 1
 
2.3%
ValueCountFrequency (%)
230000 1
 
2.3%
95000 1
 
2.3%
90000 1
 
2.3%
85000 1
 
2.3%
80000 2
4.7%
75000 1
 
2.3%
65000 2
4.7%
60000 2
4.7%
50000 3
7.0%
42000 1
 
2.3%

상세주소
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-03-14T11:54:38.884014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length44
Mean length32.627907
Min length26

Characters and Unicode

Total characters1403
Distinct characters82
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

Unique43 ?
Unique (%)100.0%

Sample

1st row전북특별자치도 완주군 경천면 가천리 673번지
2nd row전북특별자치도 완주군 구이면 백여리 815번지
3rd row전북특별자치도 완주군 화산면 화월리 1303번지 1호 (외 2필지)
4th row전북특별자치도 완주군 구이면 백여리 975번지 1호
5th row전북특별자치도 완주군 고산면 화정리 93번지 (외 1필지)
ValueCountFrequency (%)
전북특별자치도 43
 
15.2%
완주군 43
 
15.2%
외 15
 
5.3%
화산면 11
 
3.9%
1호 8
 
2.8%
2호 6
 
2.1%
용진읍 6
 
2.1%
2필지 5
 
1.8%
비봉면 4
 
1.4%
1필지 4
 
1.4%
Other values (105) 137
48.6%
2024-03-14T11:54:39.237428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
305
21.7%
지 58
 
4.1%
치 46
 
3.3%
북 46
 
3.3%
리 46
 
3.3%
주 45
 
3.2%
전 44
 
3.1%
도 44
 
3.1%
번 43
 
3.1%
특 43
 
3.1%
Other values (72) 683
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 851
60.7%
Space Separator 305
 
21.7%
Decimal Number 204
 
14.5%
Open Punctuation 14
 
1.0%
Close Punctuation 14
 
1.0%
Dash Punctuation 8
 
0.6%
Other Punctuation 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 58
 
6.8%
치 46
 
5.4%
북 46
 
5.4%
리 46
 
5.4%
주 45
 
5.3%
전 44
 
5.2%
도 44
 
5.2%
번 43
 
5.1%
특 43
 
5.1%
별 43
 
5.1%
Other values (57) 393
46.2%
Decimal Number
ValueCountFrequency (%)
1 40
19.6%
2 32
15.7%
7 24
11.8%
3 23
11.3%
4 23
11.3%
5 16
 
7.8%
9 15
 
7.4%
8 12
 
5.9%
6 10
 
4.9%
0 9
 
4.4%
Space Separator
ValueCountFrequency (%)
305
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 851
60.7%
Common 552
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 58
 
6.8%
치 46
 
5.4%
북 46
 
5.4%
리 46
 
5.4%
주 45
 
5.3%
전 44
 
5.2%
도 44
 
5.2%
번 43
 
5.1%
특 43
 
5.1%
별 43
 
5.1%
Other values (57) 393
46.2%
Common
ValueCountFrequency (%)
305
55.3%
1 40
 
7.2%
2 32
 
5.8%
7 24
 
4.3%
3 23
 
4.2%
4 23
 
4.2%
5 16
 
2.9%
9 15
 
2.7%
( 14
 
2.5%
) 14
 
2.5%
Other values (5) 46
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 851
60.7%
ASCII 552
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
305
55.3%
1 40
 
7.2%
2 32
 
5.8%
7 24
 
4.3%
3 23
 
4.2%
4 23
 
4.2%
5 16
 
2.9%
9 15
 
2.7%
( 14
 
2.5%
) 14
 
2.5%
Other values (5) 46
 
8.3%
Hangul
ValueCountFrequency (%)
지 58
 
6.8%
치 46
 
5.4%
북 46
 
5.4%
리 46
 
5.4%
주 45
 
5.3%
전 44
 
5.2%
도 44
 
5.2%
번 43
 
5.1%
특 43
 
5.1%
별 43
 
5.1%
Other values (57) 393
46.2%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-02-08
43 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-08
2nd row2024-02-08
3rd row2024-02-08
4th row2024-02-08
5th row2024-02-08

Common Values

ValueCountFrequency (%)
2024-02-08 43
100.0%

Length

2024-03-14T11:54:39.343110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:54:39.413988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-08 43
100.0%

Interactions

2024-03-14T11:54:37.461088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:54:37.342205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:54:37.571793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:54:37.401461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:54:39.461469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호축종사육수상세주소
번호1.0000.7180.5611.000
축종0.7181.0000.6771.000
사육수0.5610.6771.0001.000
상세주소1.0001.0001.0001.000
2024-03-14T11:54:39.536962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호사육수축종
번호1.000-0.3810.501
사육수-0.3811.0000.470
축종0.5010.4701.000

Missing values

2024-03-14T11:54:37.697013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:54:37.772757image/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/산란계3300전북특별자치도 완주군 경천면 가천리 673번지2024-02-08
12육계5000전북특별자치도 완주군 구이면 백여리 815번지2024-02-08
23육계40000전북특별자치도 완주군 화산면 화월리 1303번지 1호 (외 2필지)2024-02-08
34육계30000전북특별자치도 완주군 구이면 백여리 975번지 1호2024-02-08
45육계80000전북특별자치도 완주군 고산면 화정리 93번지 (외 1필지)2024-02-08
56육계50000전북특별자치도 완주군 고산면 서봉리 404번지2024-02-08
67육계41000전북특별자치도 완주군 고산면 화정리 141번지 외 3필지2024-02-08
78육계95000전북특별자치도 완주군 화산면 춘산리 329번지 2호2024-02-08
89육계50000전북특별자치도 완주군 화산면 성북리 220번지 (외 1필지)2024-02-08
910육계90000전북특별자치도 완주군 화산면 운산리 267번지 (외 4필지)2024-02-08
번호축종사육수상세주소데이터 기준일자
3334육계35000전북특별자치도 완주군 소양면 해월리 88번지 1호2024-02-08
3435종계/산란계1700전북특별자치도 완주군 용진읍 상삼리 299번지2024-02-08
3536종계/산란계400전북특별자치도 완주군 용진읍 상운리 703번지2024-02-08
3637종계/산란계300전북특별자치도 완주군 용진읍 구억리 553번지 3호2024-02-08
3738육계230000전북특별자치도 완주군 화산면 화월리 1164번지 (화산면 화월리 1149)2024-02-08
3839육계0전북특별자치도 완주군 동상면 수만리 131번지2024-02-08
3940종계/산란계240전북특별자치도 완주군 용진읍 구억리 165번지 4호2024-02-08
4041육계100전북특별자치도 완주군 운주면 구제리 592번지2024-02-08
4142육계65000전북특별자치도 완주군 화산면 승치리 567번지 2호 (외 1필지)2024-02-08
4243육계0전북특별자치도 완주군 봉동읍 장구리 17번지 ,19-1, 19-2, 19-3, 25-1, 25-3, 272024-02-08