Overview

Dataset statistics

Number of variables4
Number of observations234
Missing cells194
Missing cells (%)20.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory33.6 B

Variable types

Categorical3
Numeric1

Dataset

Description잠업에 종사하는 전국의 모든 잠업가구의 양잠형태별 생산현황, 누에 생산 및 판매현황 조회 서비스
Author농림축산식품부
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220215000000001941

Alerts

2007 has 194 (82.9%) missing valuesMissing

Reproduction

Analysis started2023-12-11 03:16:19.501080
Analysis finished2023-12-11 03:16:20.010630
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정구역별
Categorical

Distinct9
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
전국
26 
경기도
26 
강원도
26 
충청북도
26 
충청남도
26 
Other values (4)
104 

Length

Max length4
Median length4
Mean length3.5555556
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전국 26
11.1%
경기도 26
11.1%
강원도 26
11.1%
충청북도 26
11.1%
충청남도 26
11.1%
전라북도 26
11.1%
전라남도 26
11.1%
경상북도 26
11.1%
경상남도 26
11.1%

Length

2023-12-11T12:16:20.096106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:16:20.225211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전국 26
11.1%
경기도 26
11.1%
강원도 26
11.1%
충청북도 26
11.1%
충청남도 26
11.1%
전라북도 26
11.1%
전라남도 26
11.1%
경상북도 26
11.1%
경상남도 26
11.1%

월년여부별
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
불월년종
117 
월년종
117 

Length

Max length4
Median length3.5
Mean length3.5
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불월년종 117
50.0%
월년종 117
50.0%

Length

2023-12-11T12:16:20.363891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:16:20.459432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불월년종 117
50.0%
월년종 117
50.0%

잠종별
Categorical

Distinct13
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
잠107
18 
잠108
18 
잠113
18 
잠114
18 
잠123
18 
Other values (8)
144 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row잠107
2nd row잠108
3rd row잠113
4th row잠114
5th row잠123

Common Values

ValueCountFrequency (%)
잠107 18
 
7.7%
잠108 18
 
7.7%
잠113 18
 
7.7%
잠114 18
 
7.7%
잠123 18
 
7.7%
잠124 18
 
7.7%
잠125 18
 
7.7%
잠126 18
 
7.7%
잠140 18
 
7.7%
잠143 18
 
7.7%
Other values (3) 54
23.1%

Length

2023-12-11T12:16:20.577732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
잠107 18
 
7.7%
잠108 18
 
7.7%
잠113 18
 
7.7%
잠114 18
 
7.7%
잠123 18
 
7.7%
잠124 18
 
7.7%
잠125 18
 
7.7%
잠126 18
 
7.7%
잠140 18
 
7.7%
잠143 18
 
7.7%
Other values (3) 54
23.1%

2007
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)45.0%
Missing194
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean83
Minimum1
Maximum549
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T12:16:20.668615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.8
Q122.25
median35
Q3105
95-th percentile289.1
Maximum549
Range548
Interquartile range (IQR)82.75

Descriptive statistics

Standard deviation109.18016
Coefficient of variation (CV)1.3154236
Kurtosis8.2546685
Mean83
Median Absolute Deviation (MAD)29
Skewness2.6144756
Sum3320
Variance11920.308
MonotonicityNot monotonic
2023-12-11T12:16:20.767984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
30 8
 
3.4%
40 4
 
1.7%
105 4
 
1.7%
6 4
 
1.7%
70 2
 
0.9%
25 2
 
0.9%
14 2
 
0.9%
131 2
 
0.9%
150 2
 
0.9%
200 2
 
0.9%
Other values (8) 8
 
3.4%
(Missing) 194
82.9%
ValueCountFrequency (%)
1 1
 
0.4%
2 1
 
0.4%
6 4
1.7%
12 1
 
0.4%
13 1
 
0.4%
14 2
 
0.9%
25 2
 
0.9%
30 8
3.4%
40 4
1.7%
70 2
 
0.9%
ValueCountFrequency (%)
549 1
 
0.4%
348 1
 
0.4%
286 1
 
0.4%
200 2
0.9%
150 2
0.9%
131 2
0.9%
105 4
1.7%
85 1
 
0.4%
70 2
0.9%
40 4
1.7%

Interactions

2023-12-11T12:16:19.707842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:16:20.855349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정구역별월년여부별잠종별2007
행정구역별1.0000.0000.0000.668
월년여부별0.0001.0000.0000.451
잠종별0.0000.0001.0000.000
20070.6680.4510.0001.000
2023-12-11T12:16:20.952185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월년여부별행정구역별잠종별
월년여부별1.0000.0000.000
행정구역별0.0001.0000.000
잠종별0.0000.0001.000
2023-12-11T12:16:21.039031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2007행정구역별월년여부별잠종별
20071.0000.4270.4470.000
행정구역별0.4271.0000.0000.000
월년여부별0.4470.0001.0000.000
잠종별0.0000.0000.0001.000

Missing values

2023-12-11T12:16:19.829705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:16:19.960377image/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

행정구역별월년여부별잠종별2007
0전국불월년종잠1076
1전국불월년종잠1086
2전국불월년종잠113105
3전국불월년종잠114105
4전국불월년종잠123286
5전국불월년종잠12485
6전국불월년종잠125<NA>
7전국불월년종잠126<NA>
8전국불월년종잠140<NA>
9전국불월년종잠14340
행정구역별월년여부별잠종별2007
224경상남도월년종잠114<NA>
225경상남도월년종잠123<NA>
226경상남도월년종잠124<NA>
227경상남도월년종잠125<NA>
228경상남도월년종잠126<NA>
229경상남도월년종잠140<NA>
230경상남도월년종잠143<NA>
231경상남도월년종잠144<NA>
232경상남도월년종잠303<NA>
233경상남도월년종잠304<NA>