Overview

Dataset statistics

Number of variables5
Number of observations146
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 KiB
Average record size in memory41.9 B

Variable types

Text2
Categorical2
Numeric1

Dataset

Description전라남도 광양시에서 가축사육업 현황(사업장명칭, 주사육업종, 사업장소재지(도로명), 영업상태구분, 사육두수)에 대한 정보를 제공
URLhttps://www.data.go.kr/data/15064259/fileData.do

Alerts

영업상태구분 has constant value ""Constant
주사육업종 is highly imbalanced (62.0%)Imbalance
사육두수 has 9 (6.2%) zerosZeros

Reproduction

Analysis started2023-12-12 21:05:08.756289
Analysis finished2023-12-12 21:05:09.459011
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명칭
Text

Distinct142
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T06:05:09.652220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length4
Mean length4.6575342
Min length3

Characters and Unicode

Total characters680
Distinct characters175
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

Unique138 ?
Unique (%)94.5%

Sample

1st row오뚜기농장
2nd row승희농장
3rd row상철농장
4th row부암농장
5th row새순농장
ValueCountFrequency (%)
농장 8
 
4.8%
축산 5
 
3.0%
사곡농장 2
 
1.2%
다원농장 2
 
1.2%
섬띠농장 2
 
1.2%
가족농장 2
 
1.2%
한우 2
 
1.2%
전미자 1
 
0.6%
경인농장 1
 
0.6%
춘열농장 1
 
0.6%
Other values (140) 140
84.3%
2023-12-13T06:05:10.162752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 126
 
18.5%
장 115
 
16.9%
산 21
 
3.1%
원 20
 
2.9%
20
 
2.9%
축 16
 
2.4%
이 10
 
1.5%
오 8
 
1.2%
현 8
 
1.2%
우 8
 
1.2%
Other values (165) 328
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 654
96.2%
Space Separator 20
 
2.9%
Decimal Number 4
 
0.6%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 126
 
19.3%
장 115
 
17.6%
산 21
 
3.2%
원 20
 
3.1%
축 16
 
2.4%
이 10
 
1.5%
오 8
 
1.2%
현 8
 
1.2%
우 8
 
1.2%
정 7
 
1.1%
Other values (158) 315
48.2%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
9 1
25.0%
3 1
25.0%
7 1
25.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 654
96.2%
Common 26
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 126
 
19.3%
장 115
 
17.6%
산 21
 
3.2%
원 20
 
3.1%
축 16
 
2.4%
이 10
 
1.5%
오 8
 
1.2%
현 8
 
1.2%
우 8
 
1.2%
정 7
 
1.1%
Other values (158) 315
48.2%
Common
ValueCountFrequency (%)
20
76.9%
2 1
 
3.8%
( 1
 
3.8%
9 1
 
3.8%
3 1
 
3.8%
7 1
 
3.8%
) 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 654
96.2%
ASCII 26
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 126
 
19.3%
장 115
 
17.6%
산 21
 
3.2%
원 20
 
3.1%
축 16
 
2.4%
이 10
 
1.5%
오 8
 
1.2%
현 8
 
1.2%
우 8
 
1.2%
정 7
 
1.1%
Other values (158) 315
48.2%
ASCII
ValueCountFrequency (%)
20
76.9%
2 1
 
3.8%
( 1
 
3.8%
9 1
 
3.8%
3 1
 
3.8%
7 1
 
3.8%
) 1
 
3.8%

주사육업종
Categorical

IMBALANCE 

Distinct10
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
한우
117 
육계
 
10
돼지
 
5
염소
 
4
산양
 
3
Other values (5)
 
7

Length

Max length6
Median length2
Mean length2.0136986
Min length1

Unique

Unique3 ?
Unique (%)2.1%

Sample

1st row돼지
2nd row한우
3rd row한우
4th row한우
5th row한우

Common Values

ValueCountFrequency (%)
한우 117
80.1%
육계 10
 
6.8%
돼지 5
 
3.4%
염소 4
 
2.7%
산양 3
 
2.1%
육우 2
 
1.4%
꿩 2
 
1.4%
젖소 1
 
0.7%
종계_산란계 1
 
0.7%
사슴 1
 
0.7%

Length

2023-12-13T06:05:10.379161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:05:10.527902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 117
80.1%
육계 10
 
6.8%
돼지 5
 
3.4%
염소 4
 
2.7%
산양 3
 
2.1%
육우 2
 
1.4%
꿩 2
 
1.4%
젖소 1
 
0.7%
종계_산란계 1
 
0.7%
사슴 1
 
0.7%

사업장소재지
Text

Distinct143
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T06:05:10.997014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length33
Mean length22.30137
Min length19

Characters and Unicode

Total characters3256
Distinct characters118
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

Unique140 ?
Unique (%)95.9%

Sample

1st row전라남도 광양시 정산길 95-1 (성황동)
2nd row전라남도 광양시 봉강면 신촌길 49-45
3rd row전라남도 광양시 봉강면 신촌길 49-20
4th row전라남도 광양시 봉강면 부암길 100
5th row전라남도 광양시 옥룡면 청평길 63-24
ValueCountFrequency (%)
전라남도 146
19.3%
광양시 146
19.3%
옥룡면 47
 
6.2%
봉강면 22
 
2.9%
광양읍 21
 
2.8%
다압면 17
 
2.3%
진상면 16
 
2.1%
청평길 9
 
1.2%
옥곡면 7
 
0.9%
진월면 7
 
0.9%
Other values (241) 317
42.0%
2023-12-13T06:05:11.676622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
646
19.8%
광 169
 
5.2%
양 167
 
5.1%
도 151
 
4.6%
남 148
 
4.5%
시 148
 
4.5%
전 146
 
4.5%
라 146
 
4.5%
1 117
 
3.6%
면 116
 
3.6%
Other values (108) 1302
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1965
60.4%
Space Separator 646
 
19.8%
Decimal Number 542
 
16.6%
Dash Punctuation 79
 
2.4%
Open Punctuation 9
 
0.3%
Close Punctuation 9
 
0.3%
Other Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 169
 
8.6%
양 167
 
8.5%
도 151
 
7.7%
남 148
 
7.5%
시 148
 
7.5%
전 146
 
7.4%
라 146
 
7.4%
면 116
 
5.9%
길 103
 
5.2%
옥 55
 
2.8%
Other values (93) 616
31.3%
Decimal Number
ValueCountFrequency (%)
1 117
21.6%
2 76
14.0%
3 56
10.3%
6 49
9.0%
7 47
8.7%
9 43
 
7.9%
0 43
 
7.9%
4 41
 
7.6%
8 36
 
6.6%
5 34
 
6.3%
Space Separator
ValueCountFrequency (%)
646
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1965
60.4%
Common 1291
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 169
 
8.6%
양 167
 
8.5%
도 151
 
7.7%
남 148
 
7.5%
시 148
 
7.5%
전 146
 
7.4%
라 146
 
7.4%
면 116
 
5.9%
길 103
 
5.2%
옥 55
 
2.8%
Other values (93) 616
31.3%
Common
ValueCountFrequency (%)
646
50.0%
1 117
 
9.1%
- 79
 
6.1%
2 76
 
5.9%
3 56
 
4.3%
6 49
 
3.8%
7 47
 
3.6%
9 43
 
3.3%
0 43
 
3.3%
4 41
 
3.2%
Other values (5) 94
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1965
60.4%
ASCII 1291
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
646
50.0%
1 117
 
9.1%
- 79
 
6.1%
2 76
 
5.9%
3 56
 
4.3%
6 49
 
3.8%
7 47
 
3.6%
9 43
 
3.3%
0 43
 
3.3%
4 41
 
3.2%
Other values (5) 94
 
7.3%
Hangul
ValueCountFrequency (%)
광 169
 
8.6%
양 167
 
8.5%
도 151
 
7.7%
남 148
 
7.5%
시 148
 
7.5%
전 146
 
7.4%
라 146
 
7.4%
면 116
 
5.9%
길 103
 
5.2%
옥 55
 
2.8%
Other values (93) 616
31.3%

영업상태구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
정상
146 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 146
100.0%

Length

2023-12-13T06:05:11.852157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:05:11.973992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 146
100.0%

사육두수
Real number (ℝ)

ZEROS 

Distinct63
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean362.71918
Minimum0
Maximum26700
Zeros9
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T06:05:12.118050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median19.5
Q341.75
95-th percentile612.5
Maximum26700
Range26700
Interquartile range (IQR)34.75

Descriptive statistics

Standard deviation2376.2206
Coefficient of variation (CV)6.5511303
Kurtosis107.38026
Mean362.71918
Median Absolute Deviation (MAD)14.5
Skewness10.004454
Sum52957
Variance5646424.3
MonotonicityNot monotonic
2023-12-13T06:05:12.280604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 11
 
7.5%
30 9
 
6.2%
0 9
 
6.2%
15 6
 
4.1%
32 5
 
3.4%
6 5
 
3.4%
7 5
 
3.4%
12 5
 
3.4%
19 4
 
2.7%
40 4
 
2.7%
Other values (53) 83
56.8%
ValueCountFrequency (%)
0 9
6.2%
1 2
 
1.4%
2 3
 
2.1%
3 2
 
1.4%
4 3
 
2.1%
5 11
7.5%
6 5
3.4%
7 5
3.4%
8 3
 
2.1%
9 2
 
1.4%
ValueCountFrequency (%)
26700 1
0.7%
10000 1
0.7%
3000 1
0.7%
2800 1
0.7%
1800 1
0.7%
1650 1
0.7%
880 1
0.7%
650 1
0.7%
500 2
1.4%
400 1
0.7%

Interactions

2023-12-13T06:05:08.965154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:05:12.385948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주사육업종사육두수
주사육업종1.0000.660
사육두수0.6601.000
2023-12-13T06:05:12.483237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사육두수주사육업종
사육두수1.0000.450
주사육업종0.4501.000

Missing values

2023-12-13T06:05:09.077618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:05:09.426893image/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

사업장명칭주사육업종사업장소재지영업상태구분사육두수
0오뚜기농장돼지전라남도 광양시 정산길 95-1 (성황동)정상650
1승희농장한우전라남도 광양시 봉강면 신촌길 49-45정상30
2상철농장한우전라남도 광양시 봉강면 신촌길 49-20정상30
3부암농장한우전라남도 광양시 봉강면 부암길 100정상32
4새순농장한우전라남도 광양시 옥룡면 청평길 63-24정상52
5동양축산염소전라남도 광양시 옥룡면 중흥로 240정상2
6남광목장한우전라남도 광양시 옥곡면 명주로 297정상35
7개량농장한우전라남도 광양시 봉강면 성불로 835-1정상42
8대성축산한우전라남도 광양시 봉강면 마시길 50정상48
9우형농장한우전라남도 광양시 광양읍 임기길 12-24정상32
사업장명칭주사육업종사업장소재지영업상태구분사육두수
136정우기 농장한우전라남도 광양시 옥룡면 사곡로 725-37정상22
137진상농원한우전라남도 광양시 진상면 섬거리 346번지 3호정상2
138다원농장한우전라남도 광양시 진상면 지원리 72번지정상3
139권중열농장한우전라남도 광양시 옥룡면 청평길 90-25정상4
140오일종농장한우전라남도 광양시 광양읍 주령길 79정상14
141김병오 축산한우전라남도 광양시 옥룡면 산남리 396번지정상25
142광양사슴농장사슴전라남도 광양시 봉강면 황현로 77-100정상0
143남산농장한우전라남도 광양시 봉강면 중흥로 52-25정상0
144안영찬축산한우전라남도 광양시 진상면 창촌1길 36정상0
145차경철 농장한우전라남도 광양시 다압면 신원길 203정상0