Overview

Dataset statistics

Number of variables5
Number of observations134
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory43.0 B

Variable types

Numeric2
Text2
Categorical1

Dataset

Description전북특별자치도 고창군 가금류 농장현황에 대한 데이터로 농장명, 축종, 사육수, 지번 주소에 대한 현황을 제공합니다.
Author전북특별자치도 고창군
URLhttps://www.data.go.kr/data/15126584/fileData.do

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 18:19:44.026454
Analysis finished2024-03-14 18:19:45.883298
Duration1.86 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.5
Minimum1
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-15T03:19:46.113322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.65
Q134.25
median67.5
Q3100.75
95-th percentile127.35
Maximum134
Range133
Interquartile range (IQR)66.5

Descriptive statistics

Standard deviation38.826537
Coefficient of variation (CV)0.57520796
Kurtosis-1.2
Mean67.5
Median Absolute Deviation (MAD)33.5
Skewness0
Sum9045
Variance1507.5
MonotonicityStrictly increasing
2024-03-15T03:19:46.586365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
86 1
 
0.7%
100 1
 
0.7%
99 1
 
0.7%
98 1
 
0.7%
97 1
 
0.7%
96 1
 
0.7%
95 1
 
0.7%
94 1
 
0.7%
93 1
 
0.7%
Other values (124) 124
92.5%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%
129 1
0.7%
128 1
0.7%
127 1
0.7%
126 1
0.7%
125 1
0.7%

농장명
Text

Distinct126
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-15T03:19:47.799984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length4
Mean length4.5746269
Min length3

Characters and Unicode

Total characters613
Distinct characters145
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)88.8%

Sample

1st row덕암농장
2nd row엔학고래목장
3rd row건흥농장
4th row성식농장
5th row태봉농장
ValueCountFrequency (%)
농장 15
 
9.6%
형제농장 3
 
1.9%
대흥농장 2
 
1.3%
대산농장 2
 
1.3%
성은농장 2
 
1.3%
고수농장 2
 
1.3%
덕암농장 2
 
1.3%
양계장 2
 
1.3%
성산농장 2
 
1.3%
유한회사 1
 
0.6%
Other values (123) 123
78.8%
2024-03-15T03:19:49.396487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 126
20.6%
농 117
19.1%
22
 
3.6%
산 16
 
2.6%
성 15
 
2.4%
계 15
 
2.4%
양 13
 
2.1%
리 9
 
1.5%
사 8
 
1.3%
대 8
 
1.3%
Other values (135) 264
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 584
95.3%
Space Separator 22
 
3.6%
Decimal Number 4
 
0.7%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Letter Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 126
21.6%
농 117
20.0%
산 16
 
2.7%
성 15
 
2.6%
계 15
 
2.6%
양 13
 
2.2%
리 9
 
1.5%
사 8
 
1.4%
대 8
 
1.4%
원 6
 
1.0%
Other values (129) 251
43.0%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
5 2
50.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 584
95.3%
Common 28
 
4.6%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 126
21.6%
농 117
20.0%
산 16
 
2.7%
성 15
 
2.6%
계 15
 
2.6%
양 13
 
2.2%
리 9
 
1.5%
사 8
 
1.4%
대 8
 
1.4%
원 6
 
1.0%
Other values (129) 251
43.0%
Common
ValueCountFrequency (%)
22
78.6%
2 2
 
7.1%
5 2
 
7.1%
) 1
 
3.6%
( 1
 
3.6%
Latin
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 584
95.3%
ASCII 28
 
4.6%
Number Forms 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 126
21.6%
농 117
20.0%
산 16
 
2.7%
성 15
 
2.6%
계 15
 
2.6%
양 13
 
2.2%
리 9
 
1.5%
사 8
 
1.4%
대 8
 
1.4%
원 6
 
1.0%
Other values (129) 251
43.0%
ASCII
ValueCountFrequency (%)
22
78.6%
2 2
 
7.1%
5 2
 
7.1%
) 1
 
3.6%
( 1
 
3.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

축종
Categorical

Distinct7
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
육계
64 
오리
38 
산란계
17 
종계
12 
메추리
 
1
Other values (2)
 
2

Length

Max length4
Median length2
Mean length2.1567164
Min length2

Unique

Unique3 ?
Unique (%)2.2%

Sample

1st row오리
2nd row오리
3rd row종계
4th row종계
5th row육계

Common Values

ValueCountFrequency (%)
육계 64
47.8%
오리 38
28.4%
산란계 17
 
12.7%
종계 12
 
9.0%
메추리 1
 
0.7%
종오리 1
 
0.7%
산란중추 1
 
0.7%

Length

2024-03-15T03:19:49.846780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:19:50.272233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
육계 64
47.8%
오리 38
28.4%
산란계 17
 
12.7%
종계 12
 
9.0%
메추리 1
 
0.7%
종오리 1
 
0.7%
산란중추 1
 
0.7%

사육수
Real number (ℝ)

Distinct61
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58867.164
Minimum2100
Maximum260000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-15T03:19:50.727987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2100
5-th percentile11040
Q120000
median50000
Q380000
95-th percentile150000
Maximum260000
Range257900
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation47397.489
Coefficient of variation (CV)0.80516004
Kurtosis3.4550251
Mean58867.164
Median Absolute Deviation (MAD)30000
Skewness1.620725
Sum7888200
Variance2.2465219 × 109
MonotonicityNot monotonic
2024-03-15T03:19:51.404879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000 8
 
6.0%
60000 6
 
4.5%
15000 5
 
3.7%
80000 5
 
3.7%
50000 5
 
3.7%
100000 5
 
3.7%
55000 5
 
3.7%
12000 5
 
3.7%
34000 5
 
3.7%
90000 4
 
3.0%
Other values (51) 81
60.4%
ValueCountFrequency (%)
2100 1
 
0.7%
8300 1
 
0.7%
9000 2
 
1.5%
10000 3
2.2%
11600 1
 
0.7%
12000 5
3.7%
12700 1
 
0.7%
13300 1
 
0.7%
14000 2
 
1.5%
15000 5
3.7%
ValueCountFrequency (%)
260000 1
 
0.7%
220000 1
 
0.7%
210000 2
1.5%
190000 1
 
0.7%
160000 1
 
0.7%
150000 2
1.5%
140000 1
 
0.7%
120000 2
1.5%
110000 3
2.2%
105000 1
 
0.7%

지번주소
Text

Distinct133
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-15T03:19:53.546585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length16.895522
Min length10

Characters and Unicode

Total characters2264
Distinct characters97
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)98.5%

Sample

1st row고창읍 덕산리 690번지
2nd row고창읍 내동리 25번지
3rd row고창읍 신월리 30번지 7호
4th row고창읍 율계리 320번지 1호
5th row고수면 예지리 461번지 18호
ValueCountFrequency (%)
1호 27
 
5.5%
아산면 24
 
4.9%
무장면 17
 
3.5%
고수면 17
 
3.5%
2호 16
 
3.3%
흥덕면 13
 
2.6%
대산면 12
 
2.4%
부안면 11
 
2.2%
해리면 10
 
2.0%
성내면 8
 
1.6%
Other values (223) 336
68.4%
2024-03-15T03:19:55.372018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
596
26.3%
리 144
 
6.4%
지 134
 
5.9%
번 130
 
5.7%
면 130
 
5.7%
1 121
 
5.3%
호 81
 
3.6%
산 67
 
3.0%
2 66
 
2.9%
5 60
 
2.7%
Other values (87) 735
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1158
51.1%
Space Separator 596
26.3%
Decimal Number 507
22.4%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 144
 
12.4%
지 134
 
11.6%
번 130
 
11.2%
면 130
 
11.2%
호 81
 
7.0%
산 67
 
5.8%
성 30
 
2.6%
아 24
 
2.1%
고 23
 
2.0%
장 23
 
2.0%
Other values (75) 372
32.1%
Decimal Number
ValueCountFrequency (%)
1 121
23.9%
2 66
13.0%
5 60
11.8%
3 47
 
9.3%
6 42
 
8.3%
7 41
 
8.1%
8 36
 
7.1%
4 36
 
7.1%
0 33
 
6.5%
9 25
 
4.9%
Space Separator
ValueCountFrequency (%)
596
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1158
51.1%
Common 1106
48.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 144
 
12.4%
지 134
 
11.6%
번 130
 
11.2%
면 130
 
11.2%
호 81
 
7.0%
산 67
 
5.8%
성 30
 
2.6%
아 24
 
2.1%
고 23
 
2.0%
장 23
 
2.0%
Other values (75) 372
32.1%
Common
ValueCountFrequency (%)
596
53.9%
1 121
 
10.9%
2 66
 
6.0%
5 60
 
5.4%
3 47
 
4.2%
6 42
 
3.8%
7 41
 
3.7%
8 36
 
3.3%
4 36
 
3.3%
0 33
 
3.0%
Other values (2) 28
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1158
51.1%
ASCII 1106
48.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
596
53.9%
1 121
 
10.9%
2 66
 
6.0%
5 60
 
5.4%
3 47
 
4.2%
6 42
 
3.8%
7 41
 
3.7%
8 36
 
3.3%
4 36
 
3.3%
0 33
 
3.0%
Other values (2) 28
 
2.5%
Hangul
ValueCountFrequency (%)
리 144
 
12.4%
지 134
 
11.6%
번 130
 
11.2%
면 130
 
11.2%
호 81
 
7.0%
산 67
 
5.8%
성 30
 
2.6%
아 24
 
2.1%
고 23
 
2.0%
장 23
 
2.0%
Other values (75) 372
32.1%

Interactions

2024-03-15T03:19:44.848747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:19:44.329199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:19:45.118816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:19:44.596159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:19:55.632365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호축종사육수
번호1.0000.3010.000
축종0.3011.0000.548
사육수0.0000.5481.000
2024-03-15T03:19:55.782219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호사육수축종
번호1.0000.1570.154
사육수0.1571.0000.314
축종0.1540.3141.000

Missing values

2024-03-15T03:19:45.445899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:19:45.762237image/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

번호농장명축종사육수지번주소
01덕암농장오리20000고창읍 덕산리 690번지
12엔학고래목장오리10000고창읍 내동리 25번지
23건흥농장종계27500고창읍 신월리 30번지 7호
34성식농장종계20000고창읍 율계리 320번지 1호
45태봉농장육계101000고수면 예지리 461번지 18호
56오산양계장육계150000고수면 장두리 596번지 1호
67나주농장육계160000고수면 인성리 15번지 3호
78고수농장산란계34000고수면 예지리 281번지 3호
89목원농장육계40000고수면 인성리 513번지 2호
910광산농장산란계32000고수면 장두리 547번지 6호
번호농장명축종사육수지번주소
124125운양농장육계75000부안면 운양리 377번지 12호 외4필
125126세계농장산란계60000부안면 사창리 266번지 1호
126127남매농장육계46000부안면 사창리 257번지 2호
127128솔설별농장육계85000부안면 검산리 581번지 3호
128129북산양계장육계48000부안면 수동리 753번지
129130수앙양계장육계100000부안면 수앙리 341번지
130131초복농장육계88000부안면 검산리 582번지 1호
131132바른농장계란산란계40000부안면 선운리 628번지
132133사창 축산오리10000부안면 사창리 503번지
133134대산농장오리20000부안면 운양리 717번지