Overview

Dataset statistics

Number of variables3
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory27.1 B

Variable types

Categorical2
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=20220215000000001945

Alerts

생산농가수 has 14 (23.3%) zerosZeros

Reproduction

Analysis started2024-04-20 21:50:57.261907
Analysis finished2024-04-20 21:50:58.307235
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

Distinct12
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size608.0 B
제주광역시
5 
대구광역시
5 
광주광역시
5 
세종자치시
5 
경기도
5 
Other values (7)
35 

Length

Max length5
Median length4.5
Mean length4.1666667
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주광역시 5
8.3%
대구광역시 5
8.3%
광주광역시 5
8.3%
세종자치시 5
8.3%
경기도 5
8.3%
강원도 5
8.3%
충청북도 5
8.3%
충청남도 5
8.3%
전라북도 5
8.3%
전라남도 5
8.3%
Other values (2) 10
16.7%

Length

2024-04-21T06:50:58.558282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제주광역시 5
8.3%
대구광역시 5
8.3%
광주광역시 5
8.3%
세종자치시 5
8.3%
경기도 5
8.3%
강원도 5
8.3%
충청북도 5
8.3%
충청남도 5
8.3%
전라북도 5
8.3%
전라남도 5
8.3%
Other values (2) 10
16.7%

구분
Categorical

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size608.0 B
1천만원이하
12 
1~3천만
12 
3~5천만
12 
5천만~1억
12 
1억이상
12 

Length

Max length6
Median length5
Mean length5.2
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1천만원이하
2nd row1~3천만
3rd row3~5천만
4th row5천만~1억
5th row1억이상

Common Values

ValueCountFrequency (%)
1천만원이하 12
20.0%
1~3천만 12
20.0%
3~5천만 12
20.0%
5천만~1억 12
20.0%
1억이상 12
20.0%

Length

2024-04-21T06:50:59.001082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:50:59.362025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1천만원이하 12
20.0%
1~3천만 12
20.0%
3~5천만 12
20.0%
5천만~1억 12
20.0%
1억이상 12
20.0%

생산농가수
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.68333
Minimum0
Maximum1649
Zeros14
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size668.0 B
2024-04-21T06:50:59.715881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q357.25
95-th percentile468.7
Maximum1649
Range1649
Interquartile range (IQR)56.25

Descriptive statistics

Standard deviation286.7184
Coefficient of variation (CV)2.6140562
Kurtosis18.127378
Mean109.68333
Median Absolute Deviation (MAD)6
Skewness4.0875067
Sum6581
Variance82207.44
MonotonicityNot monotonic
2024-04-21T06:51:00.112444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 14
23.3%
1 7
 
11.7%
3 5
 
8.3%
2 2
 
3.3%
6 2
 
3.3%
13 2
 
3.3%
46 1
 
1.7%
40 1
 
1.7%
111 1
 
1.7%
199 1
 
1.7%
Other values (24) 24
40.0%
ValueCountFrequency (%)
0 14
23.3%
1 7
11.7%
2 2
 
3.3%
3 5
 
8.3%
4 1
 
1.7%
6 2
 
3.3%
10 1
 
1.7%
11 1
 
1.7%
12 1
 
1.7%
13 2
 
3.3%
ValueCountFrequency (%)
1649 1
1.7%
1287 1
1.7%
672 1
1.7%
458 1
1.7%
397 1
1.7%
352 1
1.7%
250 1
1.7%
230 1
1.7%
199 1
1.7%
193 1
1.7%

Interactions

2024-04-21T06:50:57.436568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T06:51:00.371811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도구분생산농가수
시도1.0000.0000.000
구분0.0001.0000.239
생산농가수0.0000.2391.000
2024-04-21T06:51:00.611404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도구분
시도1.0000.000
구분0.0001.000
2024-04-21T06:51:00.840595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
생산농가수시도구분
생산농가수1.0000.0000.158
시도0.0001.0000.000
구분0.1580.0001.000

Missing values

2024-04-21T06:50:57.977956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T06:50:58.212086image/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

시도구분생산농가수
0제주광역시1천만원이하1
1제주광역시1~3천만10
2제주광역시3~5천만0
3제주광역시5천만~1억0
4제주광역시1억이상0
5대구광역시1천만원이하13
6대구광역시1~3천만0
7대구광역시3~5천만1
8대구광역시5천만~1억0
9대구광역시1억이상0
시도구분생산농가수
50경상북도1천만원이하352
51경상북도1~3천만250
52경상북도3~5천만61
53경상북도5천만~1억31
54경상북도1억이상17
55경상남도1천만원이하199
56경상남도1~3천만111
57경상남도3~5천만40
58경상남도5천만~1억6
59경상남도1억이상0