Overview

Dataset statistics

Number of variables10
Number of observations38
Missing cells30
Missing cells (%)7.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory87.5 B

Variable types

Categorical5
Numeric4
Text1

Dataset

Description남해군 17년~22년 작목반 정보에 대한 데이터로 남해군 내 기준년도에 따른 작목반 위치, 대표자명, 작목반 별 작물 등 정보를 제공합니다.
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15109543

Alerts

데이터기준일자 has constant value ""Constant
단체명 is highly overall correlated with 회원수 and 5 other fieldsHigh correlation
도로명주소 is highly overall correlated with 회원수 and 5 other fieldsHigh correlation
작물명 is highly overall correlated with 회원수 and 5 other fieldsHigh correlation
지번주소 is highly overall correlated with 회원수 and 5 other fieldsHigh correlation
회원수 is highly overall correlated with 단체명 and 3 other fieldsHigh correlation
위도 is highly overall correlated with 경도 and 4 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 4 other fieldsHigh correlation
위도 has 15 (39.5%) missing valuesMissing
경도 has 15 (39.5%) missing valuesMissing

Reproduction

Analysis started2023-12-11 00:11:47.216035
Analysis finished2023-12-11 00:11:49.433342
Duration2.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단체명
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
한국쌀전업농남해군연합회
6 
보물섬남해시금치연합회
5 
남해군친환경농업인연합회
4 
보물섬남해마늘작목회
4 
양지머위작목반
3 
Other values (13)
16 

Length

Max length18
Median length12
Mean length10.368421
Min length7

Unique

Unique11 ?
Unique (%)28.9%

Sample

1st row남해군친환경농업인연합회
2nd row한국쌀전업농남해군연합회
3rd row보물섬남해마늘작목회
4th row남해섬애약쑥작목회
5th row남해파프리카수출농단

Common Values

ValueCountFrequency (%)
한국쌀전업농남해군연합회 6
15.8%
보물섬남해시금치연합회 5
13.2%
남해군친환경농업인연합회 4
10.5%
보물섬남해마늘작목회 4
10.5%
양지머위작목반 3
 
7.9%
남해섬애약쑥작목회 3
 
7.9%
보물섬남해미니단호박연합회 2
 
5.3%
남해블루베리연합회 1
 
2.6%
고품질잡곡작목반 1
 
2.6%
보물섬고구마작목회 1
 
2.6%
Other values (8) 8
21.1%

Length

2023-12-11T09:11:49.496897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한국쌀전업농남해군연합회 6
15.4%
보물섬남해시금치연합회 5
12.8%
남해군친환경농업인연합회 4
10.3%
보물섬남해마늘작목회 4
10.3%
양지머위작목반 3
 
7.7%
남해섬애약쑥작목회 3
 
7.7%
보물섬남해미니단호박연합회 2
 
5.1%
신소득작물연구회 1
 
2.6%
사)남해군친환경농업협회 1
 
2.6%
남해군지회 1
 
2.6%
Other values (9) 9
23.1%

기준연도
Real number (ℝ)

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.8947
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-11T09:11:49.591472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018.25
median2020
Q32021
95-th percentile2022
Maximum2022
Range5
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.7365619
Coefficient of variation (CV)0.00085972891
Kurtosis-1.1943546
Mean2019.8947
Median Absolute Deviation (MAD)1
Skewness-0.38525846
Sum76756
Variance3.0156472
MonotonicityIncreasing
2023-12-11T09:11:49.699254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2021 10
26.3%
2022 8
21.1%
2017 5
13.2%
2018 5
13.2%
2019 5
13.2%
2020 5
13.2%
ValueCountFrequency (%)
2017 5
13.2%
2018 5
13.2%
2019 5
13.2%
2020 5
13.2%
2021 10
26.3%
2022 8
21.1%
ValueCountFrequency (%)
2022 8
21.1%
2021 10
26.3%
2020 5
13.2%
2019 5
13.2%
2018 5
13.2%
2017 5
13.2%

대표자명
Text

Distinct21
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-11T09:11:49.853683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters114
Distinct characters39
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)34.2%

Sample

1st row하준성
2nd row김용옥
3rd row최재석
4th row최균석
5th row이성기
ValueCountFrequency (%)
하준성 4
 
10.5%
이혁균 4
 
10.5%
최재석 4
 
10.5%
김용옥 4
 
10.5%
최균석 3
 
7.9%
류창봉 2
 
5.3%
박현수 2
 
5.3%
김민철 2
 
5.3%
이성기 1
 
2.6%
박필주 1
 
2.6%
Other values (11) 11
28.9%
2023-12-11T09:11:50.168592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 8
 
7.0%
석 8
 
7.0%
균 8
 
7.0%
최 7
 
6.1%
성 6
 
5.3%
이 6
 
5.3%
용 5
 
4.4%
하 4
 
3.5%
준 4
 
3.5%
재 4
 
3.5%
Other values (29) 54
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 8
 
7.0%
석 8
 
7.0%
균 8
 
7.0%
최 7
 
6.1%
성 6
 
5.3%
이 6
 
5.3%
용 5
 
4.4%
하 4
 
3.5%
준 4
 
3.5%
재 4
 
3.5%
Other values (29) 54
47.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 8
 
7.0%
석 8
 
7.0%
균 8
 
7.0%
최 7
 
6.1%
성 6
 
5.3%
이 6
 
5.3%
용 5
 
4.4%
하 4
 
3.5%
준 4
 
3.5%
재 4
 
3.5%
Other values (29) 54
47.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 8
 
7.0%
석 8
 
7.0%
균 8
 
7.0%
최 7
 
6.1%
성 6
 
5.3%
이 6
 
5.3%
용 5
 
4.4%
하 4
 
3.5%
준 4
 
3.5%
재 4
 
3.5%
Other values (29) 54
47.4%

회원수
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.94737
Minimum5
Maximum788
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-11T09:11:50.286925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9.4
Q126.25
median103.5
Q3350
95-th percentile613.2
Maximum788
Range783
Interquartile range (IQR)323.75

Descriptive statistics

Standard deviation216.61062
Coefficient of variation (CV)1.0220019
Kurtosis-0.011199137
Mean211.94737
Median Absolute Deviation (MAD)95.5
Skewness0.91965736
Sum8054
Variance46920.159
MonotonicityNot monotonic
2023-12-11T09:11:50.424592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
10 4
 
10.5%
350 3
 
7.9%
94 3
 
7.9%
250 3
 
7.9%
450 3
 
7.9%
106 2
 
5.3%
30 2
 
5.3%
333 2
 
5.3%
12 1
 
2.6%
6 1
 
2.6%
Other values (14) 14
36.8%
ValueCountFrequency (%)
5 1
 
2.6%
6 1
 
2.6%
10 4
10.5%
12 1
 
2.6%
14 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
30 2
5.3%
33 1
 
2.6%
40 1
 
2.6%
ValueCountFrequency (%)
788 1
 
2.6%
688 1
 
2.6%
600 1
 
2.6%
470 1
 
2.6%
454 1
 
2.6%
450 3
7.9%
350 3
7.9%
333 2
5.3%
330 1
 
2.6%
250 3
7.9%

작물명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Memory size436.0 B
벼
6 
마늘
5 
시금치
5 
친환경농산물
4 
머위
4 
Other values (11)
14 

Length

Max length11
Median length6
Mean length2.8947368
Min length1

Unique

Unique9 ?
Unique (%)23.7%

Sample

1st row친환경농산물
2nd row벼
3rd row마늘
4th row쑥
5th row파프리카

Common Values

ValueCountFrequency (%)
벼 6
15.8%
마늘 5
13.2%
시금치 5
13.2%
친환경농산물 4
10.5%
머위 4
10.5%
쑥 3
7.9%
미니단호박 2
 
5.3%
파프리카 1
 
2.6%
쌀 1
 
2.6%
키위 1
 
2.6%
Other values (6) 6
15.8%

Length

2023-12-11T09:11:50.611501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
벼 6
15.0%
시금치 5
12.5%
마늘 5
12.5%
친환경농산물 4
10.0%
머위 4
10.0%
쑥 3
 
7.5%
미니단호박 2
 
5.0%
블루베리 1
 
2.5%
조 1
 
2.5%
고구마 1
 
2.5%
Other values (8) 8
20.0%

지번주소
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
15 
경상남도 남해군 삼동면 봉화리 1417-1
5 
경상남도 남해군 이동면 석평리 577
5 
경상남도 남해군 이동면 다정리 971 남해군농업기술센터
4 
경상남도 남해군 고현면 대곡리 606
3 
Other values (5)
6 

Length

Max length30
Median length28
Mean length15.105263
Min length4

Unique

Unique4 ?
Unique (%)10.5%

Sample

1st row<NA>
2nd row경상남도 남해군 삼동면 봉화리 1417-1
3rd row경상남도 남해군 이동면 다정리 971 남해군농업기술센터
4th row경상남도 남해군 고현면 대곡리 606
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 15
39.5%
경상남도 남해군 삼동면 봉화리 1417-1 5
 
13.2%
경상남도 남해군 이동면 석평리 577 5
 
13.2%
경상남도 남해군 이동면 다정리 971 남해군농업기술센터 4
 
10.5%
경상남도 남해군 고현면 대곡리 606 3
 
7.9%
경상남도 서면 서호리 443 2
 
5.3%
경상남도 남해군 이동면 다정리 867 남해마늘연구소 1
 
2.6%
경상남도 남해군 고현면 도마리 575 1
 
2.6%
경상남도 남해군 서면 노구리 981 1
 
2.6%
경상남도 남해군 창선면 당항리 216-1 1
 
2.6%

Length

2023-12-11T09:11:50.754551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:11:50.876373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 23
17.3%
남해군 21
15.8%
na 15
11.3%
이동면 10
 
7.5%
삼동면 5
 
3.8%
봉화리 5
 
3.8%
1417-1 5
 
3.8%
석평리 5
 
3.8%
577 5
 
3.8%
다정리 5
 
3.8%
Other values (17) 34
25.6%

도로명주소
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
15 
경상남도 남해군 삼동면 금암로 265-3
5 
경상남도 남해군 이동면 석평로 120-17
5 
경상남도 남해군 이동면 남해대로 2449
4 
경상남도 남해군 고현면 화방로 93-52
3 
Other values (5)
6 

Length

Max length32
Median length26
Mean length15.736842
Min length4

Unique

Unique4 ?
Unique (%)10.5%

Sample

1st row<NA>
2nd row경상남도 남해군 삼동면 금암로 265-3
3rd row경상남도 남해군 이동면 남해대로 2449
4th row경상남도 남해군 고현면 화방로 93-52
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 15
39.5%
경상남도 남해군 삼동면 금암로 265-3 5
 
13.2%
경상남도 남해군 이동면 석평로 120-17 5
 
13.2%
경상남도 남해군 이동면 남해대로 2449 4
 
10.5%
경상남도 남해군 고현면 화방로 93-52 3
 
7.9%
경상남도 남해군 서면 스포츠로 542번안길 32 2
 
5.3%
경상남도 남해군 이동면 남해대로 2465-8 남해마늘연구소 1
 
2.6%
경상남도 남해군 고현면 남해대로3332번길 31 1
 
2.6%
경상남도 남해군 서면 남서대로2408번길 10 1
 
2.6%
경상남도 남해군 창선면 동부대로 2821-5 1
 
2.6%

Length

2023-12-11T09:11:51.067827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:11:51.201260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 23
17.3%
남해군 23
17.3%
na 15
11.3%
이동면 10
 
7.5%
삼동면 5
 
3.8%
금암로 5
 
3.8%
265-3 5
 
3.8%
석평로 5
 
3.8%
120-17 5
 
3.8%
남해대로 5
 
3.8%
Other values (17) 32
24.1%

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct9
Distinct (%)39.1%
Missing15
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean34.821402
Minimum34.783416
Maximum34.903236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-11T09:11:51.610374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.783416
5-th percentile34.783416
Q134.802215
median34.816244
Q334.839322
95-th percentile34.880305
Maximum34.903236
Range0.1198205
Interquartile range (IQR)0.03710673

Descriptive statistics

Standard deviation0.035100581
Coefficient of variation (CV)0.0010080175
Kurtosis-0.16062556
Mean34.821402
Median Absolute Deviation (MAD)0.0140283
Skewness0.90879254
Sum800.89224
Variance0.0012320508
MonotonicityNot monotonic
2023-12-11T09:11:51.713447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
34.783416 5
 
13.2%
34.8022154 5
 
13.2%
34.81736735 4
 
10.5%
34.86612067 3
 
7.9%
34.8162437 2
 
5.3%
34.81769656 1
 
2.6%
34.8818811 1
 
2.6%
34.8609477 1
 
2.6%
34.9032365 1
 
2.6%
(Missing) 15
39.5%
ValueCountFrequency (%)
34.783416 5
13.2%
34.8022154 5
13.2%
34.8162437 2
 
5.3%
34.81736735 4
10.5%
34.81769656 1
 
2.6%
34.8609477 1
 
2.6%
34.86612067 3
7.9%
34.8818811 1
 
2.6%
34.9032365 1
 
2.6%
ValueCountFrequency (%)
34.9032365 1
 
2.6%
34.8818811 1
 
2.6%
34.86612067 3
7.9%
34.8609477 1
 
2.6%
34.81769656 1
 
2.6%
34.81736735 4
10.5%
34.8162437 2
 
5.3%
34.8022154 5
13.2%
34.783416 5
13.2%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct9
Distinct (%)39.1%
Missing15
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean127.93488
Minimum127.82068
Maximum128.02222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-11T09:11:51.813877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.82068
5-th percentile127.8513
Q1127.88594
median127.92326
Q3127.98064
95-th percentile128.0188
Maximum128.02222
Range0.2015429
Interquartile range (IQR)0.0947003

Descriptive statistics

Standard deviation0.060768844
Coefficient of variation (CV)0.00047499826
Kurtosis-0.82321885
Mean127.93488
Median Absolute Deviation (MAD)0.0410302
Skewness0.095075943
Sum2942.5021
Variance0.0036928524
MonotonicityNot monotonic
2023-12-11T09:11:51.927968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
128.0188025 5
 
13.2%
127.9424761 5
 
13.2%
127.923258 4
 
10.5%
127.8822278 3
 
7.9%
127.8513048 2
 
5.3%
127.9208645 1
 
2.6%
127.8896502 1
 
2.6%
127.820679 1
 
2.6%
128.0222219 1
 
2.6%
(Missing) 15
39.5%
ValueCountFrequency (%)
127.820679 1
 
2.6%
127.8513048 2
 
5.3%
127.8822278 3
7.9%
127.8896502 1
 
2.6%
127.9208645 1
 
2.6%
127.923258 4
10.5%
127.9424761 5
13.2%
128.0188025 5
13.2%
128.0222219 1
 
2.6%
ValueCountFrequency (%)
128.0222219 1
 
2.6%
128.0188025 5
13.2%
127.9424761 5
13.2%
127.923258 4
10.5%
127.9208645 1
 
2.6%
127.8896502 1
 
2.6%
127.8822278 3
7.9%
127.8513048 2
 
5.3%
127.820679 1
 
2.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
2022-08-16
38 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-16
2nd row2022-08-16
3rd row2022-08-16
4th row2022-08-16
5th row2022-08-16

Common Values

ValueCountFrequency (%)
2022-08-16 38
100.0%

Length

2023-12-11T09:11:52.066137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:11:52.171972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-16 38
100.0%

Interactions

2023-12-11T09:11:48.734980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:11:47.605775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:11:47.930411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:11:48.354226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:11:48.813681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:11:47.675290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:11:48.040610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:11:48.449151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:11:48.900415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:11:47.754760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:11:48.149961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:11:48.541816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:11:48.990812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:11:47.830945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:11:48.243276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:11:48.632225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:11:52.248062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단체명기준연도대표자명회원수작물명지번주소도로명주소위도경도
단체명1.0000.0000.9940.8931.0001.0001.0001.0001.000
기준연도0.0001.0000.0000.0000.0000.0000.0000.0000.000
대표자명0.9940.0001.0000.8460.9921.0001.0001.0001.000
회원수0.8930.0000.8461.0000.9580.9600.9600.9590.904
작물명1.0000.0000.9920.9581.0001.0001.0001.0000.950
지번주소1.0000.0001.0000.9601.0001.0001.0001.0001.000
도로명주소1.0000.0001.0000.9601.0001.0001.0001.0001.000
위도1.0000.0001.0000.9591.0001.0001.0001.0000.837
경도1.0000.0001.0000.9040.9501.0001.0000.8371.000
2023-12-11T09:11:52.359800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단체명도로명주소작물명지번주소
단체명1.0001.0000.9531.000
도로명주소1.0001.0000.9661.000
작물명0.9530.9661.0000.966
지번주소1.0001.0000.9661.000
2023-12-11T09:11:52.466654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준연도회원수위도경도단체명작물명지번주소도로명주소
기준연도1.000-0.1980.094-0.0560.0000.0000.0000.000
회원수-0.1981.000-0.4120.0400.5270.5870.7510.751
위도0.094-0.4121.000-0.6180.9070.9390.9070.907
경도-0.0560.040-0.6181.0000.9350.8420.9350.935
단체명0.0000.5270.9070.9351.0000.9531.0001.000
작물명0.0000.5870.9390.8420.9531.0000.9660.966
지번주소0.0000.7510.9070.9351.0000.9661.0001.000
도로명주소0.0000.7510.9070.9351.0000.9661.0001.000

Missing values

2023-12-11T09:11:49.113847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:11:49.247626image/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.
2023-12-11T09:11:49.372545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

단체명기준연도대표자명회원수작물명지번주소도로명주소위도경도데이터기준일자
0남해군친환경농업인연합회2017하준성600친환경농산물<NA><NA><NA><NA>2022-08-16
1한국쌀전업농남해군연합회2017김용옥101벼경상남도 남해군 삼동면 봉화리 1417-1경상남도 남해군 삼동면 금암로 265-334.783416128.0188022022-08-16
2보물섬남해마늘작목회2017최재석350마늘경상남도 남해군 이동면 다정리 971 남해군농업기술센터경상남도 남해군 이동면 남해대로 244934.817367127.9232582022-08-16
3남해섬애약쑥작목회2017최균석30쑥경상남도 남해군 고현면 대곡리 606경상남도 남해군 고현면 화방로 93-5234.866121127.8822282022-08-16
4남해파프리카수출농단2017이성기10파프리카<NA><NA><NA><NA>2022-08-16
5남해군친환경농업인연합회2018하준성350친환경농산물<NA><NA><NA><NA>2022-08-16
6한국쌀전업농남해군연합회2018김용옥94벼경상남도 남해군 삼동면 봉화리 1417-1경상남도 남해군 삼동면 금암로 265-334.783416128.0188022022-08-16
7보물섬남해마늘작목회2018최재석330마늘경상남도 남해군 이동면 다정리 971 남해군농업기술센터경상남도 남해군 이동면 남해대로 244934.817367127.9232582022-08-16
8남해섬애약쑥작목회2018최균석25쑥경상남도 남해군 고현면 대곡리 606경상남도 남해군 고현면 화방로 93-5234.866121127.8822282022-08-16
9보물섬남해시금치연합회2018이혁균454시금치경상남도 남해군 이동면 석평리 577경상남도 남해군 이동면 석평로 120-1734.802215127.9424762022-08-16
단체명기준연도대표자명회원수작물명지번주소도로명주소위도경도데이터기준일자
28남해참두릅작목반2021고기홍54참두릅<NA><NA><NA><NA>2022-08-16
29양지머위작목반2021김봉길10머위<NA><NA><NA><NA>2022-08-16
30성산감자작목반2022이기주14감자경상남도 남해군 고현면 도마리 575경상남도 남해군 고현면 남해대로3332번길 3134.881881127.889652022-08-16
31보물섬고구마작목회2022서석주5고구마경상남도 남해군 서면 노구리 981경상남도 남해군 서면 남서대로2408번길 1034.860948127.8206792022-08-16
32고품질잡곡작목반2022김영진40조, 콩경상남도 남해군 창선면 당항리 216-1경상남도 남해군 창선면 동부대로 2821-534.903236128.0222222022-08-16
33한국쌀전업농남해군연합회2022류창봉106벼경상남도 남해군 삼동면 봉화리 1417-1경상남도 남해군 삼동면 금암로 265-334.783416128.0188022022-08-16
34보물섬남해시금치연합회2022하준성470시금치경상남도 남해군 이동면 석평리 577경상남도 남해군 이동면 석평로 120-1734.802215127.9424762022-08-16
35보물섬남해미니단호박연합회2022박현수788미니단호박경상남도 서면 서호리 443경상남도 남해군 서면 스포츠로 542번안길 3234.816244127.8513052022-08-16
36양지머위작목반2022정용섭10머위<NA><NA><NA><NA>2022-08-16
37보물섬머위작목반2022류승룡6머위<NA><NA><NA><NA>2022-08-16