Overview

Dataset statistics

Number of variables8
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory71.9 B

Variable types

Categorical5
Numeric2
DateTime1

Dataset

Description제주특별자치도의 법정가축 질병 진단내역으로 축종별, 전염병명, 검사건수와 검사마리수에 대한 정보를 제공하는 데이터 입니다
Author제주특별자치도
URLhttps://www.data.go.kr/data/15097032/fileData.do

Alerts

시도명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
검사건수 is highly overall correlated with 마리High correlation
마리 is highly overall correlated with 검사건수High correlation
축종 is highly overall correlated with 전염병명 and 1 other fieldsHigh correlation
전염병명 is highly overall correlated with 축종 and 1 other fieldsHigh correlation
법정전염병 is highly overall correlated with 축종 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 13:09:52.848591
Analysis finished2023-12-12 13:09:53.634057
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
제주특별자치도
27 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도 27
100.0%

Length

2023-12-12T22:09:53.693771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:09:53.780994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 27
100.0%

축종
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size348.0 B
돼지
10 
꿀벌
5 
소
5 
닭
3 
말
3 

Length

Max length3
Median length2
Mean length1.6296296
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row꿀벌
2nd row닭
3rd row돼지
4th row돼지
5th row돼지

Common Values

ValueCountFrequency (%)
돼지 10
37.0%
꿀벌 5
18.5%
소 5
18.5%
닭 3
 
11.1%
말 3
 
11.1%
흑염소 1
 
3.7%

Length

2023-12-12T22:09:53.902673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:09:54.046546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
돼지 10
37.0%
꿀벌 5
18.5%
소 5
18.5%
닭 3
 
11.1%
말 3
 
11.1%
흑염소 1
 
3.7%

전염병명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
부저병
3 
돼지단독
3 
돼지생식기호흡기증후군
3 
돼지유행성설사
3 
말전염성자궁염
3 
Other values (8)
12 

Length

Max length11
Median length9
Mean length5.6666667
Min length2

Unique

Unique5 ?
Unique (%)18.5%

Sample

1st row부저병
2nd row닭전염성 에프낭병
3rd row돼지전염성 위장염
4th row돼지단독
5th row돼지생식기호흡기증후군

Common Values

ValueCountFrequency (%)
부저병 3
11.1%
돼지단독 3
11.1%
돼지생식기호흡기증후군 3
11.1%
돼지유행성설사 3
11.1%
말전염성자궁염 3
11.1%
요네병 3
11.1%
결핵병 2
7.4%
낭충봉아부패병 2
7.4%
닭전염성 에프낭병 1
 
3.7%
돼지전염성 위장염 1
 
3.7%
Other values (3) 3
11.1%

Length

2023-12-12T22:09:54.151627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부저병 3
10.3%
돼지단독 3
10.3%
돼지생식기호흡기증후군 3
10.3%
돼지유행성설사 3
10.3%
말전염성자궁염 3
10.3%
요네병 3
10.3%
결핵병 2
 
6.9%
낭충봉아부패병 2
 
6.9%
닭전염성 1
 
3.4%
에프낭병 1
 
3.4%
Other values (5) 5
17.2%

검사건수
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.148148
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T22:09:54.248263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median6
Q311.5
95-th percentile49.9
Maximum61
Range60
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation16.915409
Coefficient of variation (CV)1.3924269
Kurtosis2.6313826
Mean12.148148
Median Absolute Deviation (MAD)5
Skewness1.9018472
Sum328
Variance286.13105
MonotonicityNot monotonic
2023-12-12T22:09:54.393589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 8
29.6%
2 3
 
11.1%
10 2
 
7.4%
5 1
 
3.7%
3 1
 
3.7%
52 1
 
3.7%
20 1
 
3.7%
12 1
 
3.7%
7 1
 
3.7%
45 1
 
3.7%
Other values (7) 7
25.9%
ValueCountFrequency (%)
1 8
29.6%
2 3
 
11.1%
3 1
 
3.7%
5 1
 
3.7%
6 1
 
3.7%
7 1
 
3.7%
8 1
 
3.7%
9 1
 
3.7%
10 2
 
7.4%
11 1
 
3.7%
ValueCountFrequency (%)
61 1
3.7%
52 1
3.7%
45 1
3.7%
40 1
3.7%
20 1
3.7%
15 1
3.7%
12 1
3.7%
11 1
3.7%
10 2
7.4%
9 1
3.7%

마리
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.962963
Minimum1
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T22:09:54.517956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.5
median8
Q328.5
95-th percentile103
Maximum134
Range133
Interquartile range (IQR)26

Descriptive statistics

Standard deviation37.384161
Coefficient of variation (CV)1.4975851
Kurtosis2.5502836
Mean24.962963
Median Absolute Deviation (MAD)7
Skewness1.8984905
Sum674
Variance1397.5755
MonotonicityNot monotonic
2023-12-12T22:09:54.644068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 6
22.2%
3 3
11.1%
6 2
 
7.4%
13 2
 
7.4%
96 2
 
7.4%
38 1
 
3.7%
25 1
 
3.7%
8 1
 
3.7%
4 1
 
3.7%
106 1
 
3.7%
Other values (7) 7
25.9%
ValueCountFrequency (%)
1 6
22.2%
2 1
 
3.7%
3 3
11.1%
4 1
 
3.7%
6 2
 
7.4%
8 1
 
3.7%
12 1
 
3.7%
13 2
 
7.4%
15 1
 
3.7%
18 1
 
3.7%
ValueCountFrequency (%)
134 1
3.7%
106 1
3.7%
96 2
7.4%
38 1
3.7%
35 1
3.7%
32 1
3.7%
25 1
3.7%
18 1
3.7%
15 1
3.7%
13 2
7.4%

법정전염병
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
3종
16 
2종
11 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3종
2nd row3종
3rd row3종
4th row3종
5th row3종

Common Values

ValueCountFrequency (%)
3종 16
59.3%
2종 11
40.7%

Length

2023-12-12T22:09:54.762374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:09:54.867064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3종 16
59.3%
2종 11
40.7%

검사연도
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
2018
9 
2019
9 
2020
9 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2018 9
33.3%
2019 9
33.3%
2020 9
33.3%

Length

2023-12-12T22:09:54.957907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:09:55.044279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 9
33.3%
2019 9
33.3%
2020 9
33.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2021-12-21 00:00:00
Maximum2021-12-21 00:00:00
2023-12-12T22:09:55.157902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:09:55.247699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:09:53.274685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:09:53.125909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:09:53.345691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:09:53.194541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:09:55.327910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종전염병명검사건수마리법정전염병검사연도
축종1.0001.0000.0000.3230.9820.000
전염병명1.0001.0000.0000.0001.0000.000
검사건수0.0000.0001.0000.8970.4160.000
마리0.3230.0000.8971.0000.2800.000
법정전염병0.9821.0000.4160.2801.0000.000
검사연도0.0000.0000.0000.0000.0001.000
2023-12-12T22:09:55.458627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축종법정전염병전염병명검사연도
축종1.0000.8050.8160.000
법정전염병0.8051.0000.7480.000
전염병명0.8160.7481.0000.000
검사연도0.0000.0000.0001.000
2023-12-12T22:09:55.604039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
검사건수마리축종전염병명법정전염병검사연도
검사건수1.0000.9730.0000.0000.1770.000
마리0.9731.0000.2010.0000.3130.000
축종0.0000.2011.0000.8160.8050.000
전염병명0.0000.0000.8161.0000.7480.000
법정전염병0.1770.3130.8050.7481.0000.000
검사연도0.0000.0000.0000.0000.0001.000

Missing values

2023-12-12T22:09:53.460241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:09:53.588602image/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

시도명축종전염병명검사건수마리법정전염병검사연도데이터기준일자
0제주특별자치도꿀벌부저병563종20182021-12-21
1제주특별자치도닭닭전염성 에프낭병133종20182021-12-21
2제주특별자치도돼지돼지전염성 위장염123종20182021-12-21
3제주특별자치도돼지돼지단독11133종20182021-12-21
4제주특별자치도돼지돼지생식기호흡기증후군8153종20182021-12-21
5제주특별자치도돼지돼지유행성설사40963종20182021-12-21
6제주특별자치도말말전염성자궁염10132종20182021-12-21
7제주특별자치도소결핵병262종20182021-12-21
8제주특별자치도소요네병611342종20182021-12-21
9제주특별자치도꿀벌부저병233종20192021-12-21
시도명축종전염병명검사건수마리법정전염병검사연도데이터기준일자
17제주특별자치도흑염소큐열112종20192021-12-21
18제주특별자치도꿀벌낭충봉아부패병112종20202021-12-21
19제주특별자치도꿀벌부저병243종20202021-12-21
20제주특별자치도닭마렉병113종20202021-12-21
21제주특별자치도닭닭뇌척수염113종20202021-12-21
22제주특별자치도돼지돼지단독783종20202021-12-21
23제주특별자치도돼지돼지유행성설사12253종20202021-12-21
24제주특별자치도돼지돼지생식기호흡기증후군20383종20202021-12-21
25제주특별자치도말말전염성자궁염112종20202021-12-21
26제주특별자치도소요네병52962종20202021-12-21