Overview

Dataset statistics

Number of variables38
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 MiB
Average record size in memory320.0 B

Variable types

Numeric7
Categorical5
DateTime2
Boolean24

Dataset

Description해외 아프리카돼지열병(ASF)발생현황 정보- WOAH(국제수역사무국)에 보고된 정보를 기준으로 작성- ASF 발생국가, 발생건수, 발생일, 축종, 사육두수, 감염두수, 살처분두수, 방역조치 내역 등을 제공하고 있음
Author농림축산식품부 농림축산검역본부
URLhttps://www.data.go.kr/data/15041633/fileData.do

Alerts

백신 접종 has constant value ""Constant
감염동물치료 has constant value ""Constant
지역 is highly imbalanced (75.1%)Imbalance
구분 is highly imbalanced (58.0%)Imbalance
축종 is highly imbalanced (73.4%)Imbalance
발생대응 예방접종 is highly imbalanced (99.9%)Imbalance
생산물 또는 부산물 내 병원체 불활화 처리 is highly imbalanced (89.7%)Imbalance
선택적 살처분 및 폐기 is highly imbalanced (94.3%)Imbalance
소독 is highly imbalanced (52.6%)Imbalance
매개체 예찰 is highly imbalanced (99.2%)Imbalance
생·해체검사 is highly imbalanced (57.8%)Imbalance
백신접종 허용 (백신이 있는 경우) is highly imbalanced (72.2%)Imbalance
백신접종금지 is highly imbalanced (85.5%)Imbalance
감염 동물 미치료 is highly imbalanced (63.9%)Imbalance
도축 is highly imbalanced (99.9%)Imbalance
사육 두수 is highly skewed (γ1 = 98.48483986)Skewed
감염 두수 is highly skewed (γ1 = 33.55760114)Skewed
폐사 두수 is highly skewed (γ1 = 86.87733184)Skewed
살처분 두수 is highly skewed (γ1 = 26.21528284)Skewed
도축 두수 is highly skewed (γ1 = 78.31774877)Skewed
번호 has unique valuesUnique
사육 두수 has 7709 (77.1%) zerosZeros
감염 두수 has 117 (1.2%) zerosZeros
폐사 두수 has 2445 (24.4%) zerosZeros
살처분 두수 has 6481 (64.8%) zerosZeros
도축 두수 has 9885 (98.9%) zerosZeros

Reproduction

Analysis started2023-12-12 17:54:24.269572
Analysis finished2023-12-12 17:54:25.133483
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8694.2411
Minimum1
Maximum17393
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:54:25.205529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile826.9
Q14369.75
median8726.5
Q313012.25
95-th percentile16503.1
Maximum17393
Range17392
Interquartile range (IQR)8642.5

Descriptive statistics

Standard deviation5014.3993
Coefficient of variation (CV)0.57674951
Kurtosis-1.1953097
Mean8694.2411
Median Absolute Deviation (MAD)4324
Skewness-0.011751065
Sum86942411
Variance25144200
MonotonicityNot monotonic
2023-12-13T02:54:25.349557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3451 1
 
< 0.1%
3444 1
 
< 0.1%
1008 1
 
< 0.1%
2636 1
 
< 0.1%
15917 1
 
< 0.1%
7610 1
 
< 0.1%
7452 1
 
< 0.1%
3601 1
 
< 0.1%
9135 1
 
< 0.1%
13446 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
11 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
ValueCountFrequency (%)
17393 1
< 0.1%
17391 1
< 0.1%
17388 1
< 0.1%
17387 1
< 0.1%
17386 1
< 0.1%
17384 1
< 0.1%
17383 1
< 0.1%
17382 1
< 0.1%
17379 1
< 0.1%
17378 1
< 0.1%

지역
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
유럽
9079 
아시아
 
570
아메리카
 
176
아프리카
 
144
유럽
 
31

Length

Max length4
Median length2
Mean length2.1272
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유럽
2nd row아시아
3rd row유럽
4th row유럽
5th row유럽

Common Values

ValueCountFrequency (%)
유럽 9079
90.8%
아시아 570
 
5.7%
아메리카 176
 
1.8%
아프리카 144
 
1.4%
유럽 31
 
0.3%

Length

2023-12-13T02:54:25.495483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:25.670939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유럽 9110
91.1%
아시아 570
 
5.7%
아메리카 176
 
1.8%
아프리카 144
 
1.4%

국가명
Categorical

Distinct35
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폴란드
3338 
루마니아
1922 
헝가리
899 
라트비아
860 
이탈리아
570 
Other values (30)
2411 

Length

Max length10
Median length8
Mean length3.5069
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row폴란드
2nd row필리핀
3rd row폴란드
4th row몰도바
5th row라트비아

Common Values

ValueCountFrequency (%)
폴란드 3338
33.4%
루마니아 1922
19.2%
헝가리 899
 
9.0%
라트비아 860
 
8.6%
이탈리아 570
 
5.7%
독일 520
 
5.2%
세르비아 475
 
4.8%
러시아 357
 
3.6%
필리핀 315
 
3.1%
도미니카공화국 156
 
1.6%
Other values (25) 588
 
5.9%

Length

2023-12-13T02:54:25.807887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
폴란드 3338
33.4%
루마니아 1947
19.5%
헝가리 899
 
9.0%
라트비아 860
 
8.6%
이탈리아 570
 
5.7%
독일 525
 
5.2%
세르비아 475
 
4.8%
러시아 358
 
3.6%
필리핀 315
 
3.1%
도미니카공화국 156
 
1.6%
Other values (22) 557
 
5.6%

국제수역사무국(WOAH) 보고일
Date

Distinct490
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-01-05 00:00:00
Maximum2023-07-07 00:00:00
2023-12-13T02:54:25.968463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:54:26.448687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

건수
Real number (ℝ)

Distinct53
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3715
Minimum0
Maximum164
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:54:26.635489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum164
Range164
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.6406725
Coefficient of variation (CV)3.3836475
Kurtosis328.54812
Mean1.3715
Median Absolute Deviation (MAD)0
Skewness16.032259
Sum13715
Variance21.535841
MonotonicityNot monotonic
2023-12-13T02:54:26.827482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 9910
99.1%
6 4
 
< 0.1%
4 4
 
< 0.1%
70 3
 
< 0.1%
49 3
 
< 0.1%
37 3
 
< 0.1%
35 3
 
< 0.1%
39 3
 
< 0.1%
48 3
 
< 0.1%
62 3
 
< 0.1%
Other values (43) 61
 
0.6%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 9910
99.1%
4 4
 
< 0.1%
5 1
 
< 0.1%
6 4
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
12 1
 
< 0.1%
13 1
 
< 0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
164 1
 
< 0.1%
108 1
 
< 0.1%
105 1
 
< 0.1%
103 1
 
< 0.1%
88 1
 
< 0.1%
79 1
 
< 0.1%
73 1
 
< 0.1%
70 3
< 0.1%
69 1
 
< 0.1%
67 1
 
< 0.1%

발생일
Date

Distinct1150
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-06-26 00:00:00
Maximum2023-07-04 00:00:00
2023-12-13T02:54:26.982127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:54:27.143471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
야생
7494 
사육
2475 
야생
 
19
사육
 
12

Length

Max length4
Median length2
Mean length2.0062
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row야생
2nd row사육
3rd row야생
4th row사육
5th row야생

Common Values

ValueCountFrequency (%)
야생 7494
74.9%
사육 2475
 
24.8%
야생 19
 
0.2%
사육 12
 
0.1%

Length

2023-12-13T02:54:27.346441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:27.481239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
야생 7513
75.1%
사육 2487
 
24.9%

축종
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
멧돼지
7500 
돼지
2464 
멧돼지
 
19
돼지
 
12
야생조류
 
1
Other values (4)
 
4

Length

Max length10
Median length3
Mean length2.7601
Min length2

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
멧돼지 7500
75.0%
돼지 2464
 
24.6%
멧돼지 19
 
0.2%
돼지 12
 
0.1%
야생조류 1
 
< 0.1%
야생동물(축종미정) 1
 
< 0.1%
비사얀워티피그 1
 
< 0.1%
야생돼지 1
 
< 0.1%
피그미호그 1
 
< 0.1%

Length

2023-12-13T02:54:27.604375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:27.745152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
멧돼지 7519
75.2%
돼지 2476
 
24.8%
야생조류 1
 
< 0.1%
야생동물(축종미정 1
 
< 0.1%
비사얀워티피그 1
 
< 0.1%
야생돼지 1
 
< 0.1%
피그미호그 1
 
< 0.1%

사육 두수
Real number (ℝ)

SKEWED  ZEROS 

Distinct432
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean416.0618
Minimum0
Maximum2432501
Zeros7709
Zeros (%)77.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:54:27.906562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile73.05
Maximum2432501
Range2432501
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24449.659
Coefficient of variation (CV)58.764488
Kurtosis9794.8797
Mean416.0618
Median Absolute Deviation (MAD)0
Skewness98.48484
Sum4160618
Variance5.9778581 × 108
MonotonicityNot monotonic
2023-12-13T02:54:28.086689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7709
77.1%
2 232
 
2.3%
1 155
 
1.6%
3 137
 
1.4%
4 135
 
1.4%
5 93
 
0.9%
6 84
 
0.8%
10 66
 
0.7%
7 63
 
0.6%
9 55
 
0.5%
Other values (422) 1271
 
12.7%
ValueCountFrequency (%)
0 7709
77.1%
1 155
 
1.6%
2 232
 
2.3%
3 137
 
1.4%
4 135
 
1.4%
5 93
 
0.9%
6 84
 
0.8%
7 63
 
0.6%
8 54
 
0.5%
9 55
 
0.5%
ValueCountFrequency (%)
2432501 1
< 0.1%
122237 1
< 0.1%
84964 1
< 0.1%
62014 1
< 0.1%
61958 1
< 0.1%
59186 2
< 0.1%
54552 1
< 0.1%
49676 1
< 0.1%
43743 1
< 0.1%
33889 1
< 0.1%

감염 두수
Real number (ℝ)

SKEWED  ZEROS 

Distinct233
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.3884
Minimum0
Maximum62961
Zeros117
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:54:28.245107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q33
95-th percentile26
Maximum62961
Range62961
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1250.6343
Coefficient of variation (CV)19.729702
Kurtosis1404.3518
Mean63.3884
Median Absolute Deviation (MAD)0
Skewness33.557601
Sum633884
Variance1564086
MonotonicityNot monotonic
2023-12-13T02:54:28.397823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 6388
63.9%
2 957
 
9.6%
3 471
 
4.7%
4 302
 
3.0%
5 234
 
2.3%
6 168
 
1.7%
7 124
 
1.2%
0 117
 
1.2%
8 95
 
0.9%
9 83
 
0.8%
Other values (223) 1061
 
10.6%
ValueCountFrequency (%)
0 117
 
1.2%
1 6388
63.9%
2 957
 
9.6%
3 471
 
4.7%
4 302
 
3.0%
5 234
 
2.3%
6 168
 
1.7%
7 124
 
1.2%
8 95
 
0.9%
9 83
 
0.8%
ValueCountFrequency (%)
62961 1
< 0.1%
61958 1
< 0.1%
30400 1
< 0.1%
29207 1
< 0.1%
27069 1
< 0.1%
25201 1
< 0.1%
24243 1
< 0.1%
23590 1
< 0.1%
22466 1
< 0.1%
19837 1
< 0.1%

폐사 두수
Real number (ℝ)

SKEWED  ZEROS 

Distinct185
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.4832
Minimum0
Maximum62961
Zeros2445
Zeros (%)24.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:54:28.579420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile13
Maximum62961
Range62961
Interquartile range (IQR)0

Descriptive statistics

Standard deviation665.15896
Coefficient of variation (CV)40.353751
Kurtosis8071.7603
Mean16.4832
Median Absolute Deviation (MAD)0
Skewness86.877332
Sum164832
Variance442436.44
MonotonicityNot monotonic
2023-12-13T02:54:28.746040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 5093
50.9%
0 2445
24.4%
2 763
 
7.6%
3 376
 
3.8%
4 218
 
2.2%
5 174
 
1.7%
6 117
 
1.2%
7 91
 
0.9%
8 51
 
0.5%
9 45
 
0.4%
Other values (175) 627
 
6.3%
ValueCountFrequency (%)
0 2445
24.4%
1 5093
50.9%
2 763
 
7.6%
3 376
 
3.8%
4 218
 
2.2%
5 174
 
1.7%
6 117
 
1.2%
7 91
 
0.9%
8 51
 
0.5%
9 45
 
0.4%
ValueCountFrequency (%)
62961 1
< 0.1%
17291 1
< 0.1%
9402 1
< 0.1%
5231 1
< 0.1%
3202 1
< 0.1%
2416 1
< 0.1%
2080 1
< 0.1%
1853 1
< 0.1%
1690 1
< 0.1%
1687 1
< 0.1%

살처분 두수
Real number (ℝ)

SKEWED  ZEROS 

Distinct328
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.9897
Minimum0
Maximum84694
Zeros6481
Zeros (%)64.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:54:28.906601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile34
Maximum84694
Range84694
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1977.2238
Coefficient of variation (CV)16.757597
Kurtosis815.82747
Mean117.9897
Median Absolute Deviation (MAD)0
Skewness26.215283
Sum1179897
Variance3909414
MonotonicityNot monotonic
2023-12-13T02:54:29.057101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6481
64.8%
1 1614
 
16.1%
2 351
 
3.5%
3 207
 
2.1%
4 120
 
1.2%
5 76
 
0.8%
6 75
 
0.8%
7 50
 
0.5%
9 49
 
0.5%
12 41
 
0.4%
Other values (318) 936
 
9.4%
ValueCountFrequency (%)
0 6481
64.8%
1 1614
 
16.1%
2 351
 
3.5%
3 207
 
2.1%
4 120
 
1.2%
5 76
 
0.8%
6 75
 
0.8%
7 50
 
0.5%
8 41
 
0.4%
9 49
 
0.5%
ValueCountFrequency (%)
84694 1
< 0.1%
67673 1
< 0.1%
61750 1
< 0.1%
59134 1
< 0.1%
52050 1
< 0.1%
51033 1
< 0.1%
43792 1
< 0.1%
35992 1
< 0.1%
35535 1
< 0.1%
33716 1
< 0.1%

도축 두수
Real number (ℝ)

SKEWED  ZEROS 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2526
Minimum0
Maximum1380
Zeros9885
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:54:29.190867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1380
Range1380
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.731883
Coefficient of variation (CV)62.279822
Kurtosis6434.0381
Mean0.2526
Median Absolute Deviation (MAD)0
Skewness78.317749
Sum2526
Variance247.49214
MonotonicityNot monotonic
2023-12-13T02:54:29.320046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 9885
98.9%
1 69
 
0.7%
2 19
 
0.2%
3 7
 
0.1%
4 6
 
0.1%
5 2
 
< 0.1%
6 2
 
< 0.1%
750 1
 
< 0.1%
8 1
 
< 0.1%
33 1
 
< 0.1%
Other values (7) 7
 
0.1%
ValueCountFrequency (%)
0 9885
98.9%
1 69
 
0.7%
2 19
 
0.2%
3 7
 
0.1%
4 6
 
0.1%
5 2
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
22 1
 
< 0.1%
ValueCountFrequency (%)
1380 1
< 0.1%
750 1
< 0.1%
53 1
< 0.1%
45 1
< 0.1%
33 1
< 0.1%
29 1
< 0.1%
25 1
< 0.1%
22 1
< 0.1%
8 1
< 0.1%
7 1
< 0.1%

백신 접종
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-13T02:54:29.515981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:54:29.624303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

국내이동제한
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
6956 
True
3044 
ValueCountFrequency (%)
False 6956
69.6%
True 3044
30.4%
2023-12-13T02:54:29.734311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

발생대응 예방접종
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9999 
True
 
1
ValueCountFrequency (%)
False 9999
> 99.9%
True 1
 
< 0.1%
2023-12-13T02:54:29.848339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

봉쇄지역 및-또는 보호지역 예찰(외)
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8481 
True
1519 
ValueCountFrequency (%)
False 8481
84.8%
True 1519
 
15.2%
2023-12-13T02:54:29.972878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

봉쇄지역 및-또는 보호지역 예찰(내)
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
7531 
True
2469 
ValueCountFrequency (%)
False 7531
75.3%
True 2469
 
24.7%
2023-12-13T02:54:30.068043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

스크리닝
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
5978 
False
4022 
ValueCountFrequency (%)
True 5978
59.8%
False 4022
40.2%
2023-12-13T02:54:30.167864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

이력추적
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
6385 
False
3615 
ValueCountFrequency (%)
True 6385
63.8%
False 3615
36.1%
2023-12-13T02:54:30.271029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

격리
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
5090 
True
4910 
ValueCountFrequency (%)
False 5090
50.9%
True 4910
49.1%
2023-12-13T02:54:30.366275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

동물성 생산물 공식 처리
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
5523 
False
4477 
ValueCountFrequency (%)
True 5523
55.2%
False 4477
44.8%
2023-12-13T02:54:30.500739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사체-부산물-폐기물 공식 처리
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
6009 
False
3991 
ValueCountFrequency (%)
True 6009
60.1%
False 3991
39.9%
2023-12-13T02:54:30.629043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

생산물 또는 부산물 내 병원체 불활화 처리
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9866 
True
 
134
ValueCountFrequency (%)
False 9866
98.7%
True 134
 
1.3%
2023-12-13T02:54:30.734995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

살처분
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
5739 
False
4261 
ValueCountFrequency (%)
True 5739
57.4%
False 4261
42.6%
2023-12-13T02:54:30.852787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

선택적 살처분 및 폐기
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9934 
True
 
66
ValueCountFrequency (%)
False 9934
99.3%
True 66
 
0.7%
2023-12-13T02:54:30.955904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

야생 보균원 관리
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
7803 
False
2197 
ValueCountFrequency (%)
True 7803
78.0%
False 2197
 
22.0%
2023-12-13T02:54:31.082384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

방역대 설정
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
7968 
False
2032 
ValueCountFrequency (%)
True 7968
79.7%
False 2032
 
20.3%
2023-12-13T02:54:31.182137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소독
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
8984 
False
1016 
ValueCountFrequency (%)
True 8984
89.8%
False 1016
 
10.2%
2023-12-13T02:54:31.274668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

해충구제
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
7302 
True
2698 
ValueCountFrequency (%)
False 7302
73.0%
True 2698
 
27.0%
2023-12-13T02:54:31.360693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

매개체 관리
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
6682 
True
3318 
ValueCountFrequency (%)
False 6682
66.8%
True 3318
33.2%
2023-12-13T02:54:31.446466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

매개체 예찰
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9993 
True
 
7
ValueCountFrequency (%)
False 9993
99.9%
True 7
 
0.1%
2023-12-13T02:54:31.533708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

생·해체검사
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9142 
True
 
858
ValueCountFrequency (%)
False 9142
91.4%
True 858
 
8.6%
2023-12-13T02:54:31.621404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

백신접종 허용 (백신이 있는 경우)
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9519 
True
 
481
ValueCountFrequency (%)
False 9519
95.2%
True 481
 
4.8%
2023-12-13T02:54:31.723063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

백신접종금지
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9793 
True
 
207
ValueCountFrequency (%)
False 9793
97.9%
True 207
 
2.1%
2023-12-13T02:54:31.816209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

감염 동물 미치료
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9312 
True
 
688
ValueCountFrequency (%)
False 9312
93.1%
True 688
 
6.9%
2023-12-13T02:54:31.897043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

감염동물치료
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
10000 
ValueCountFrequency (%)
False 10000
100.0%
2023-12-13T02:54:31.982002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

도축
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9999 
True
 
1
ValueCountFrequency (%)
False 9999
> 99.9%
True 1
 
< 0.1%
2023-12-13T02:54:32.055166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

번호지역국가명국제수역사무국(WOAH) 보고일건수발생일구분축종사육 두수감염 두수폐사 두수살처분 두수도축 두수백신 접종국내이동제한발생대응 예방접종봉쇄지역 및-또는 보호지역 예찰(외)봉쇄지역 및-또는 보호지역 예찰(내)스크리닝이력추적격리동물성 생산물 공식 처리사체-부산물-폐기물 공식 처리생산물 또는 부산물 내 병원체 불활화 처리살처분선택적 살처분 및 폐기야생 보균원 관리방역대 설정소독해충구제매개체 관리매개체 예찰생·해체검사백신접종 허용 (백신이 있는 경우)백신접종금지감염 동물 미치료감염동물치료도축
34503451유럽폴란드2021-08-1612020-05-26야생멧돼지011000YNNNYYYYYNYNYYYYYNNNNNNN
61216122아시아필리핀2021-11-2212020-09-17사육돼지155260155200YNYYYNYYYNYNNYYNNNYNNNNN
42044205유럽폴란드2021-08-27582021-03-23야생멧돼지0108108000YNNNYYYYYNYNYYYYYNNNNNNN
72827283유럽몰도바2022-02-0212022-01-17사육돼지1437777000NNNNNYYNNNNNNYNNNNNNNNNN
70127013유럽라트비아2022-01-1912022-01-14야생멧돼지055000YNNNYNYNYNNNYYYNNNNNNNNN
1054010541유럽라트비아2022-07-1312022-07-05야생멧돼지022000NNNNYNYNYNNNYYYNNNNNNNNN
1423414235유럽라트비아2023-02-2112023-02-17야생멧돼지033000NNNNNNNNNNNNNYYNNNNNNNNN
73037304유럽루마니아2022-02-0412022-01-28야생멧돼지020200NNNYNYNYYNNNYYYNNNNNNNNN
58455846유럽폴란드2021-11-0812021-10-20야생멧돼지011000YNNNYYYYYNYNYYYYYNNNNNNN
1183111832유럽독일2022-11-0712022-10-27야생멧돼지01010000NNNNYNNYNNYNYNYNNNNNNNNN
번호지역국가명국제수역사무국(WOAH) 보고일건수발생일구분축종사육 두수감염 두수폐사 두수살처분 두수도축 두수백신 접종국내이동제한발생대응 예방접종봉쇄지역 및-또는 보호지역 예찰(외)봉쇄지역 및-또는 보호지역 예찰(내)스크리닝이력추적격리동물성 생산물 공식 처리사체-부산물-폐기물 공식 처리생산물 또는 부산물 내 병원체 불활화 처리살처분선택적 살처분 및 폐기야생 보균원 관리방역대 설정소독해충구제매개체 관리매개체 예찰생·해체검사백신접종 허용 (백신이 있는 경우)백신접종금지감염 동물 미치료감염동물치료도축
84028403유럽폴란드2022-03-3012021-12-27야생멧돼지011000NNNNYYYYYNYNYYYYYNNNNNNN
84738474유럽폴란드2022-03-3012021-11-29야생멧돼지011000NNNNYYYYYNYNYYYYYNNNNNNN
1573115732유럽폴란드2023-04-2112023-04-04야생멧돼지022000NNNNYYYYNNYNYYNYYNNNNNNN
63876388유럽헝가리2021-12-0812021-11-30야생멧돼지011000YNYYNYNNYNNNYYYNNNNNNNNN
1632116322유럽이탈리아2023-05-2412023-05-15야생멧돼지011000NNNNYYNYNNNNNYYNNNNNNNNN
27322733유럽루마니아2021-07-0912021-07-06야생멧돼지010100NNNYNNNNYNYNYYYNNNNNNNNN
18171818아프리카남아프리카공화국2021-04-0812021-03-07사육돼지20774000NNNNNNYNNNNNNYNNNNNNNNNN
37093710유럽폴란드2021-08-2312020-10-31야생멧돼지011000YNNNYYYYYNYNYYYYYNNNNNNN
1662916630유럽이탈리아2023-06-0712023-05-31야생멧돼지011000NNNNYYNYNNNNNYYNNNNNNNNN
540541유럽루마니아2021-01-3012021-01-16야생멧돼지011000NNNYNNNNYNYNYNYNNNNYNYNN