Overview

Dataset statistics

Number of variables7
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory65.4 B

Variable types

Categorical3
Numeric4

Dataset

Description축산물 출하전 생체 잔류검사 집계 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=0F012WV47GW13V992Y4M11634165&infSeq=1

Alerts

FPT검사횟수(건) is highly overall correlated with 검출수(건) and 2 other fieldsHigh correlation
검출수(건) is highly overall correlated with FPT검사횟수(건) and 2 other fieldsHigh correlation
FPT검사누계횟수(건) is highly overall correlated with FPT검사횟수(건) and 2 other fieldsHigh correlation
검출누계수(건) is highly overall correlated with FPT검사횟수(건) and 2 other fieldsHigh correlation
집계년월 is highly overall correlated with 집계년분기High correlation
집계년분기 is highly overall correlated with 집계년월High correlation
FPT검사횟수(건) has 17 (56.7%) zerosZeros
검출수(건) has 21 (70.0%) zerosZeros
FPT검사누계횟수(건) has 14 (46.7%) zerosZeros
검출누계수(건) has 14 (46.7%) zerosZeros

Reproduction

Analysis started2024-04-14 03:17:12.993416
Analysis finished2024-04-14 03:17:15.757149
Duration2.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년월
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-10
6 
2024-04
5 
2024-01
5 
2023-04
5 
2023-01
5 
Other values (4)
4 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique4 ?
Unique (%)13.3%

Sample

1st row2024-04
2nd row2024-04
3rd row2024-04
4th row2024-04
5th row2024-04

Common Values

ValueCountFrequency (%)
2023-10 6
20.0%
2024-04 5
16.7%
2024-01 5
16.7%
2023-04 5
16.7%
2023-01 5
16.7%
2023-11 1
 
3.3%
2023-09 1
 
3.3%
2023-08 1
 
3.3%
2023-07 1
 
3.3%

Length

2024-04-14T12:17:15.816120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T12:17:15.920446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10 6
20.0%
2024-04 5
16.7%
2024-01 5
16.7%
2023-04 5
16.7%
2023-01 5
16.7%
2023-11 1
 
3.3%
2023-09 1
 
3.3%
2023-08 1
 
3.3%
2023-07 1
 
3.3%

집계년분기
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
10 
4
10 
2
5 
3
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 10
33.3%
4 10
33.3%
2 5
16.7%
3 5
16.7%

Length

2024-04-14T12:17:16.058052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T12:17:16.136421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10
33.3%
4 10
33.3%
2 5
16.7%
3 5
16.7%

축종명
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
한우
6 
젖소
6 
육우
6 
돼지
6 
닭
6 

Length

Max length2
Median length2
Mean length1.8
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한우
2nd row젖소
3rd row육우
4th row돼지
5th row닭

Common Values

ValueCountFrequency (%)
한우 6
20.0%
젖소 6
20.0%
육우 6
20.0%
돼지 6
20.0%
닭 6
20.0%

Length

2024-04-14T12:17:16.220341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T12:17:16.300339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 6
20.0%
젖소 6
20.0%
육우 6
20.0%
돼지 6
20.0%
닭 6
20.0%

FPT검사횟수(건)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4666667
Minimum0
Maximum24
Zeros17
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-14T12:17:16.380063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.75
95-th percentile17.4
Maximum24
Range24
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation6.3719933
Coefficient of variation (CV)1.838075
Kurtosis4.1348624
Mean3.4666667
Median Absolute Deviation (MAD)0
Skewness2.160119
Sum104
Variance40.602299
MonotonicityNot monotonic
2024-04-14T12:17:16.461654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 17
56.7%
2 3
 
10.0%
1 2
 
6.7%
3 1
 
3.3%
12 1
 
3.3%
13 1
 
3.3%
10 1
 
3.3%
7 1
 
3.3%
21 1
 
3.3%
24 1
 
3.3%
ValueCountFrequency (%)
0 17
56.7%
1 2
 
6.7%
2 3
 
10.0%
3 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
10 1
 
3.3%
12 1
 
3.3%
13 1
 
3.3%
21 1
 
3.3%
ValueCountFrequency (%)
24 1
 
3.3%
21 1
 
3.3%
13 1
 
3.3%
12 1
 
3.3%
10 1
 
3.3%
7 1
 
3.3%
6 1
 
3.3%
3 1
 
3.3%
2 3
10.0%
1 2
6.7%

검출수(건)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3
Minimum0
Maximum13
Zeros21
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-14T12:17:16.537433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7.55
Maximum13
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.9728658
Coefficient of variation (CV)2.2868198
Kurtosis8.5487845
Mean1.3
Median Absolute Deviation (MAD)0
Skewness2.8847957
Sum39
Variance8.837931
MonotonicityNot monotonic
2024-04-14T12:17:16.617691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 21
70.0%
1 3
 
10.0%
3 2
 
6.7%
7 1
 
3.3%
8 1
 
3.3%
13 1
 
3.3%
2 1
 
3.3%
ValueCountFrequency (%)
0 21
70.0%
1 3
 
10.0%
2 1
 
3.3%
3 2
 
6.7%
7 1
 
3.3%
8 1
 
3.3%
13 1
 
3.3%
ValueCountFrequency (%)
13 1
 
3.3%
8 1
 
3.3%
7 1
 
3.3%
3 2
 
6.7%
2 1
 
3.3%
1 3
 
10.0%
0 21
70.0%

FPT검사누계횟수(건)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.166667
Minimum0
Maximum121
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-14T12:17:16.700451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q313.25
95-th percentile50.6
Maximum121
Range121
Interquartile range (IQR)13.25

Descriptive statistics

Standard deviation25.053162
Coefficient of variation (CV)2.059164
Kurtosis12.339823
Mean12.166667
Median Absolute Deviation (MAD)1.5
Skewness3.2573389
Sum365
Variance627.66092
MonotonicityNot monotonic
2024-04-14T12:17:16.783855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 14
46.7%
2 4
 
13.3%
14 1
 
3.3%
56 1
 
3.3%
11 1
 
3.3%
44 1
 
3.3%
31 1
 
3.3%
9 1
 
3.3%
21 1
 
3.3%
1 1
 
3.3%
Other values (4) 4
 
13.3%
ValueCountFrequency (%)
0 14
46.7%
1 1
 
3.3%
2 4
 
13.3%
4 1
 
3.3%
9 1
 
3.3%
11 1
 
3.3%
14 1
 
3.3%
16 1
 
3.3%
21 1
 
3.3%
29 1
 
3.3%
ValueCountFrequency (%)
121 1
3.3%
56 1
3.3%
44 1
3.3%
31 1
3.3%
29 1
3.3%
21 1
3.3%
16 1
3.3%
14 1
3.3%
11 1
3.3%
9 1
3.3%

검출누계수(건)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3666667
Minimum0
Maximum78
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-14T12:17:16.868941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile16.8
Maximum78
Range78
Interquartile range (IQR)4

Descriptive statistics

Standard deviation14.554258
Coefficient of variation (CV)2.7119736
Kurtosis23.100829
Mean5.3666667
Median Absolute Deviation (MAD)1
Skewness4.6396317
Sum161
Variance211.82644
MonotonicityNot monotonic
2024-04-14T12:17:16.951253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 14
46.7%
4 4
 
13.3%
1 4
 
13.3%
7 3
 
10.0%
8 2
 
6.7%
2 1
 
3.3%
78 1
 
3.3%
24 1
 
3.3%
ValueCountFrequency (%)
0 14
46.7%
1 4
 
13.3%
2 1
 
3.3%
4 4
 
13.3%
7 3
 
10.0%
8 2
 
6.7%
24 1
 
3.3%
78 1
 
3.3%
ValueCountFrequency (%)
78 1
 
3.3%
24 1
 
3.3%
8 2
 
6.7%
7 3
 
10.0%
4 4
 
13.3%
2 1
 
3.3%
1 4
 
13.3%
0 14
46.7%

Interactions

2024-04-14T12:17:15.222490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:17:14.249944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:17:14.664497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:17:14.947453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:17:15.300479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:17:14.354324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:17:14.729560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:17:15.012073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:17:15.402508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:17:14.529662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:17:14.811785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:17:15.082256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:17:15.492330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:17:14.593331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:17:14.876596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:17:15.147885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T12:17:17.021336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집계년월집계년분기축종명FPT검사횟수(건)검출수(건)FPT검사누계횟수(건)검출누계수(건)
집계년월1.0000.9500.0000.5980.0000.0000.000
집계년분기0.9501.0000.0000.0000.0000.0000.000
축종명0.0000.0001.0000.3980.0000.2970.000
FPT검사횟수(건)0.5980.0000.3981.0000.8500.8850.785
검출수(건)0.0000.0000.0000.8501.0000.8670.888
FPT검사누계횟수(건)0.0000.0000.2970.8850.8671.0000.888
검출누계수(건)0.0000.0000.0000.7850.8880.8881.000
2024-04-14T12:17:17.279454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집계년분기축종명집계년월
집계년분기1.0000.0000.827
축종명0.0001.0000.000
집계년월0.8270.0001.000
2024-04-14T12:17:17.381845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
FPT검사횟수(건)검출수(건)FPT검사누계횟수(건)검출누계수(건)집계년월집계년분기축종명
FPT검사횟수(건)1.0000.7020.9040.8930.1640.0000.242
검출수(건)0.7021.0000.5830.7020.0000.0000.000
FPT검사누계횟수(건)0.9040.5831.0000.9520.0000.0000.185
검출누계수(건)0.8930.7020.9521.0000.0000.0000.000
집계년월0.1640.0000.0000.0001.0000.8270.000
집계년분기0.0000.0000.0000.0000.8271.0000.000
축종명0.2420.0000.1850.0000.0000.0001.000

Missing values

2024-04-14T12:17:15.603528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T12:17:15.710555image/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

집계년월집계년분기축종명FPT검사횟수(건)검출수(건)FPT검사누계횟수(건)검출누계수(건)
02024-041한우0000
12024-041젖소0000
22024-041육우0000
32024-041돼지0000
42024-041닭0000
52024-014한우30144
62024-014젖소121568
72024-014육우0021
82024-014돼지0000
92024-014닭0000
집계년월집계년분기축종명FPT검사횟수(건)검출수(건)FPT검사누계횟수(건)검출누계수(건)
202023-041한우2121
212023-041젖소217217
222023-041육우1818
232023-041닭0000
242023-041돼지0000
252023-014돼지0042
262023-014닭0000
272023-014젖소241312178
282023-014한우22164
292023-014육우632924