Overview

Dataset statistics

Number of variables14
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory122.4 B

Variable types

Numeric4
Categorical3
Boolean7

Dataset

Description2021년 공공데이터 기업매칭지원사업을 통해 수집한 제주 지역 내 고품질 감귤 생산 농가의 설비정보입니다. 데이터 항목별 설명은 다음과 같습니다. id(설비키), fm_id (농가키), fe_research_year(조사년도), fe_slope(경사정도), fe_maintenance(원지정비 유무), fe_kind(품종), fe_mulching(피복 유무), fe_umbrella(우산식 유무), fe_spring_cooler(스프링쿨러 유무), fe_drip_hose(점적호스 유무), fe_frost_fan(방산팬 유무), fe_windscreen(방품망 유무)
Author제주국제자유도시개발센터
URLhttps://www.data.go.kr/data/15097168/fileData.do

Alerts

조사년도 has constant value ""Constant
원지정비 유무 has constant value ""Constant
피복 유무 has constant value ""Constant
번호 is highly overall correlated with 대상 구분 and 3 other fieldsHigh correlation
대상 구분 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
아이디 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
농가키 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
점적호스 유무 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
번호 has unique valuesUnique
대상 구분 has unique valuesUnique
아이디 has unique valuesUnique
농가키 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:52:24.020197
Analysis finished2023-12-11 23:52:26.158097
Duration2.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T08:52:26.205220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-12T08:52:26.307025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

대상 구분
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3402 × 109
Minimum1.3402 × 109
Maximum1.3402 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T08:52:26.417490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3402 × 109
5-th percentile1.3402 × 109
Q11.3402 × 109
median1.3402 × 109
Q31.3402 × 109
95-th percentile1.3402 × 109
Maximum1.3402 × 109
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)6.5687273 × 10-9
Kurtosis-1.2
Mean1.3402 × 109
Median Absolute Deviation (MAD)7.5
Skewness0
Sum4.0206 × 1010
Variance77.5
MonotonicityStrictly increasing
2023-12-12T08:52:26.520905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1340200001 1
 
3.3%
1340200017 1
 
3.3%
1340200030 1
 
3.3%
1340200029 1
 
3.3%
1340200028 1
 
3.3%
1340200027 1
 
3.3%
1340200026 1
 
3.3%
1340200025 1
 
3.3%
1340200024 1
 
3.3%
1340200023 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1340200001 1
3.3%
1340200002 1
3.3%
1340200003 1
3.3%
1340200004 1
3.3%
1340200005 1
3.3%
1340200006 1
3.3%
1340200007 1
3.3%
1340200008 1
3.3%
1340200009 1
3.3%
1340200010 1
3.3%
ValueCountFrequency (%)
1340200030 1
3.3%
1340200029 1
3.3%
1340200028 1
3.3%
1340200027 1
3.3%
1340200026 1
3.3%
1340200025 1
3.3%
1340200024 1
3.3%
1340200023 1
3.3%
1340200022 1
3.3%
1340200021 1
3.3%

아이디
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T08:52:26.624438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-12T08:52:26.727941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

농가키
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T08:52:26.824915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-12T08:52:26.925201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

조사년도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2021
30 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 30
100.0%

Length

2023-12-12T08:52:27.031226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:52:27.119503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 30
100.0%

경사정도
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
22 
2
6 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 22
73.3%
2 6
 
20.0%
1 2
 
6.7%

Length

2023-12-12T08:52:27.228301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:52:27.668417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
73.3%
2 6
 
20.0%
1 2
 
6.7%

원지정비 유무
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
30 
ValueCountFrequency (%)
True 30
100.0%
2023-12-12T08:52:27.744955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

품종
Categorical

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
궁천
16 
궁천,극조생
2 
궁천
 
1
궁천, 흥진
 
1
유라
 
1
Other values (9)
9 

Length

Max length9
Median length2
Mean length3.5333333
Min length2

Unique

Unique12 ?
Unique (%)40.0%

Sample

1st row궁천
2nd row궁천
3rd row궁천, 흥진
4th row궁천
5th row유라

Common Values

ValueCountFrequency (%)
궁천 16
53.3%
궁천,극조생 2
 
6.7%
궁천 1
 
3.3%
궁천, 흥진 1
 
3.3%
유라 1
 
3.3%
일남일호 1
 
3.3%
극조생,궁천,온주 1
 
3.3%
궁천,하례 1
 
3.3%
하례조생 1
 
3.3%
궁천,일남일호 1
 
3.3%
Other values (4) 4
 
13.3%

Length

2023-12-12T08:52:27.853926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
궁천 18
58.1%
궁천,극조생 2
 
6.5%
흥진 1
 
3.2%
유라 1
 
3.2%
일남일호 1
 
3.2%
극조생,궁천,온주 1
 
3.2%
궁천,하례 1
 
3.2%
하례조생 1
 
3.2%
궁천,일남일호 1
 
3.2%
조생,궁천 1
 
3.2%
Other values (3) 3
 
9.7%

피복 유무
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
30 
ValueCountFrequency (%)
True 30
100.0%
2023-12-12T08:52:27.973017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

우산식 유무
Boolean

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
18 
False
12 
ValueCountFrequency (%)
True 18
60.0%
False 12
40.0%
2023-12-12T08:52:28.102094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

스프링쿨러 유무
Boolean

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
17 
True
13 
ValueCountFrequency (%)
False 17
56.7%
True 13
43.3%
2023-12-12T08:52:28.214638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

점적호스 유무
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
26 
False
4 
ValueCountFrequency (%)
True 26
86.7%
False 4
 
13.3%
2023-12-12T08:52:28.315594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

방산팬 유무
Boolean

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
19 
False
11 
ValueCountFrequency (%)
True 19
63.3%
False 11
36.7%
2023-12-12T08:52:28.406384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

방품망 유무
Boolean

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
20 
True
10 
ValueCountFrequency (%)
False 20
66.7%
True 10
33.3%
2023-12-12T08:52:28.501635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T08:52:25.625848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:52:24.622838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:52:24.972260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:52:25.315117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:52:25.698450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:52:24.712707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:52:25.071945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:52:25.389343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:52:25.779960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:52:24.813539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:52:25.152851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:52:25.464926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:52:25.853841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:52:24.891814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:52:25.229994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:52:25.553833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:52:28.586137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호대상 구분아이디농가키경사정도품종우산식 유무스프링쿨러 유무점적호스 유무방산팬 유무방품망 유무
번호1.0001.0001.0001.0000.2240.3870.7420.7560.9710.7190.686
대상 구분1.0001.0001.0001.0000.0000.5700.7150.7150.9690.6930.608
아이디1.0001.0001.0001.0000.2240.3870.7420.7560.9710.7190.686
농가키1.0001.0001.0001.0000.2240.3870.7420.7560.9710.7190.686
경사정도0.2240.0000.2240.2241.0000.0000.0000.2040.0970.0000.000
품종0.3870.5700.3870.3870.0001.0000.0000.0000.0000.0650.000
우산식 유무0.7420.7150.7420.7420.0000.0001.0000.2300.0000.0000.477
스프링쿨러 유무0.7560.7150.7560.7560.2040.0000.2301.0000.0000.0000.000
점적호스 유무0.9710.9690.9710.9710.0970.0000.0000.0001.0000.1660.000
방산팬 유무0.7190.6930.7190.7190.0000.0650.0000.0000.1661.0000.404
방품망 유무0.6860.6080.6860.6860.0000.0000.4770.0000.0000.4041.000
2023-12-12T08:52:28.771280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방산팬 유무점적호스 유무방품망 유무품종경사정도우산식 유무스프링쿨러 유무
방산팬 유무1.0000.1000.2630.0000.0000.0000.000
점적호스 유무0.1001.0000.0000.0000.1510.0000.000
방품망 유무0.2630.0001.0000.0000.0000.3150.000
품종0.0000.0000.0001.0000.0000.0000.000
경사정도0.0000.1510.0000.0001.0000.0000.325
우산식 유무0.0000.0000.3150.0000.0001.0000.144
스프링쿨러 유무0.0000.0000.0000.0000.3250.1441.000
2023-12-12T08:52:28.884560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호대상 구분아이디농가키경사정도품종우산식 유무스프링쿨러 유무점적호스 유무방산팬 유무방품망 유무
번호1.0001.0001.0001.0000.0550.0340.4850.4960.7180.4680.443
대상 구분1.0001.0001.0001.0000.0550.0340.4850.4960.7180.4680.443
아이디1.0001.0001.0001.0000.0550.0340.4850.4960.7180.4680.443
농가키1.0001.0001.0001.0000.0550.0340.4850.4960.7180.4680.443
경사정도0.0550.0550.0550.0551.0000.0000.0000.3250.1510.0000.000
품종0.0340.0340.0340.0340.0001.0000.0000.0000.0000.0000.000
우산식 유무0.4850.4850.4850.4850.0000.0001.0000.1440.0000.0000.315
스프링쿨러 유무0.4960.4960.4960.4960.3250.0000.1441.0000.0000.0000.000
점적호스 유무0.7180.7180.7180.7180.1510.0000.0000.0001.0000.1000.000
방산팬 유무0.4680.4680.4680.4680.0000.0000.0000.0000.1001.0000.263
방품망 유무0.4430.4430.4430.4430.0000.0000.3150.0000.0000.2631.000

Missing values

2023-12-12T08:52:25.958732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:52:26.104372image/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

번호대상 구분아이디농가키조사년도경사정도원지정비 유무품종피복 유무우산식 유무스프링쿨러 유무점적호스 유무방산팬 유무방품망 유무
0113402000011120210Y궁천YYYYYY
1213402000022220210Y궁천YYYYYY
2313402000033320210Y궁천, 흥진YYYYYY
3413402000044420210Y궁천YYYYYY
4513402000055520212Y유라YYYYYN
5613402000066620212Y궁천YYYYYN
6713402000077720210Y궁천YYYYYY
7813402000088820210Y궁천YYYYYY
8913402000099920210Y궁천YYNYYN
9101340200010101020212Y일남일호YYNYYY
번호대상 구분아이디농가키조사년도경사정도원지정비 유무품종피복 유무우산식 유무스프링쿨러 유무점적호스 유무방산팬 유무방품망 유무
20211340200021212120210Y궁천,하례YNNYYN
21221340200022222220210Y하례조생YNNYYN
22231340200023232320210Y궁천,일남일호YNNYYN
23241340200024242420210Y조생,궁천YYNYNN
24251340200025252520210Y유라,궁천YYNYNN
25261340200026262620210Y궁천YNNYNN
26271340200027272720210Y흥진,일남일호YYNYNN
27281340200028282820210Y궁천YYNNYY
28291340200029292920210Y궁천YNNNNN
29301340200030303020212Y궁천,조생YNYNNN