Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells765
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory888.7 KiB
Average record size in memory91.0 B

Variable types

Numeric3
Categorical4
Text3

Dataset

Description남해군 내 주요 재배작물 재배 정보에 대한 데이터로 기준연도에 따라 재배작물 별 재배 면적, 재배 위치 관련 정보를 제공합니다.
Author경상남도 남해군
URLhttps://www.data.go.kr/data/15109547/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
작물명 is highly overall correlated with 자료일련번호 and 1 other fieldsHigh correlation
소속명 is highly overall correlated with 자료일련번호 and 3 other fieldsHigh correlation
행정동명 is highly overall correlated with 자료일련번호 and 1 other fieldsHigh correlation
자료일련번호 is highly overall correlated with 기준연도 and 3 other fieldsHigh correlation
기준연도 is highly overall correlated with 자료일련번호 and 1 other fieldsHigh correlation
소속명 is highly imbalanced (75.1%)Imbalance
행정리명 has 620 (6.2%) missing valuesMissing
자료일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:01:42.820216
Analysis finished2023-12-12 02:01:45.797618
Duration2.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자료일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5997.1634
Minimum2
Maximum11999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:01:45.901461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile602.95
Q13020.75
median5992.5
Q38983.25
95-th percentile11413.05
Maximum11999
Range11997
Interquartile range (IQR)5962.5

Descriptive statistics

Standard deviation3464.8571
Coefficient of variation (CV)0.57774933
Kurtosis-1.1967472
Mean5997.1634
Median Absolute Deviation (MAD)2980.5
Skewness0.0054792631
Sum59971634
Variance12005235
MonotonicityNot monotonic
2023-12-12T11:01:46.074178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1202 1
 
< 0.1%
2948 1
 
< 0.1%
5527 1
 
< 0.1%
11074 1
 
< 0.1%
6560 1
 
< 0.1%
9856 1
 
< 0.1%
1508 1
 
< 0.1%
1847 1
 
< 0.1%
2438 1
 
< 0.1%
5206 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
ValueCountFrequency (%)
11999 1
< 0.1%
11998 1
< 0.1%
11997 1
< 0.1%
11996 1
< 0.1%
11995 1
< 0.1%
11994 1
< 0.1%
11993 1
< 0.1%
11992 1
< 0.1%
11991 1
< 0.1%
11990 1
< 0.1%

기준연도
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2021.7739
Minimum2020
Maximum2039
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:01:46.215782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2020
5-th percentile2020
Q12022
median2022
Q32022
95-th percentile2022
Maximum2039
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.74955652
Coefficient of variation (CV)0.00037074201
Kurtosis125.61318
Mean2021.7739
Median Absolute Deviation (MAD)0
Skewness6.697644
Sum20217739
Variance0.56183497
MonotonicityNot monotonic
2023-12-12T11:01:46.335924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2022 7939
79.4%
2021 1521
 
15.2%
2020 502
 
5.0%
2023 5
 
0.1%
2024 4
 
< 0.1%
2028 3
 
< 0.1%
2029 3
 
< 0.1%
2033 3
 
< 0.1%
2027 3
 
< 0.1%
2025 3
 
< 0.1%
Other values (9) 14
 
0.1%
ValueCountFrequency (%)
2020 502
 
5.0%
2021 1521
 
15.2%
2022 7939
79.4%
2023 5
 
0.1%
2024 4
 
< 0.1%
2025 3
 
< 0.1%
2026 1
 
< 0.1%
2027 3
 
< 0.1%
2028 3
 
< 0.1%
2029 3
 
< 0.1%
ValueCountFrequency (%)
2039 1
 
< 0.1%
2037 1
 
< 0.1%
2036 1
 
< 0.1%
2035 2
< 0.1%
2034 2
< 0.1%
2033 3
< 0.1%
2032 2
< 0.1%
2031 3
< 0.1%
2030 1
 
< 0.1%
2029 3
< 0.1%

작물명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
마늘
4005 
시금치
3834 
미니단호박
1659 
땅두릅
 
301
유자
 
182

Length

Max length5
Median length3
Mean length2.9112
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미니단호박
2nd row마늘
3rd row마늘
4th row마늘
5th row시금치

Common Values

ValueCountFrequency (%)
마늘 4005
40.1%
시금치 3834
38.3%
미니단호박 1659
16.6%
땅두릅 301
 
3.0%
유자 182
 
1.8%
치자 19
 
0.2%

Length

2023-12-12T11:01:46.490006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:01:46.625365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
마늘 4005
40.1%
시금치 3834
38.3%
미니단호박 1659
16.6%
땅두릅 301
 
3.0%
유자 182
 
1.8%
치자 19
 
0.2%

마을명
Text

Distinct228
Distinct (%)2.3%
Missing72
Missing (%)0.7%
Memory size156.2 KiB
2023-12-12T11:01:47.057860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.1166398
Min length1

Characters and Unicode

Total characters21014
Distinct characters149
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row상주
2nd row평산1
3rd row중현
4th row차면
5th row유포
ValueCountFrequency (%)
노구 270
 
2.7%
진목 198
 
2.0%
유포 169
 
1.7%
중리 150
 
1.5%
차면 134
 
1.3%
천동 127
 
1.3%
북남치 122
 
1.2%
서호 122
 
1.2%
덕신 121
 
1.2%
동갈화 120
 
1.2%
Other values (218) 8419
84.6%
2023-12-12T11:01:47.667184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 807
 
3.8%
천 686
 
3.3%
포 653
 
3.1%
구 542
 
2.6%
곡 518
 
2.5%
남 494
 
2.4%
금 490
 
2.3%
상 469
 
2.2%
화 431
 
2.1%
대 419
 
2.0%
Other values (139) 15505
73.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20561
97.8%
Space Separator 274
 
1.3%
Decimal Number 179
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 807
 
3.9%
천 686
 
3.3%
포 653
 
3.2%
구 542
 
2.6%
곡 518
 
2.5%
남 494
 
2.4%
금 490
 
2.4%
상 469
 
2.3%
화 431
 
2.1%
대 419
 
2.0%
Other values (131) 15052
73.2%
Decimal Number
ValueCountFrequency (%)
1 101
56.4%
2 73
40.8%
4 1
 
0.6%
7 1
 
0.6%
6 1
 
0.6%
5 1
 
0.6%
3 1
 
0.6%
Space Separator
ValueCountFrequency (%)
274
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20561
97.8%
Common 453
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 807
 
3.9%
천 686
 
3.3%
포 653
 
3.2%
구 542
 
2.6%
곡 518
 
2.5%
남 494
 
2.4%
금 490
 
2.4%
상 469
 
2.3%
화 431
 
2.1%
대 419
 
2.0%
Other values (131) 15052
73.2%
Common
ValueCountFrequency (%)
274
60.5%
1 101
 
22.3%
2 73
 
16.1%
4 1
 
0.2%
7 1
 
0.2%
6 1
 
0.2%
5 1
 
0.2%
3 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20560
97.8%
ASCII 453
 
2.2%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 807
 
3.9%
천 686
 
3.3%
포 653
 
3.2%
구 542
 
2.6%
곡 518
 
2.5%
남 494
 
2.4%
금 490
 
2.4%
상 469
 
2.3%
화 431
 
2.1%
대 419
 
2.0%
Other values (130) 15051
73.2%
ASCII
ValueCountFrequency (%)
274
60.5%
1 101
 
22.3%
2 73
 
16.1%
4 1
 
0.2%
7 1
 
0.2%
6 1
 
0.2%
5 1
 
0.2%
3 1
 
0.2%
Compat Jamo
ValueCountFrequency (%)
ㅋ 1
100.0%

소속명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8334 
서면작목반
837 
동남해작목반
 
191
새남해농협 고현면작목반
 
122
남해읍작목반
 
106
Other values (16)
 
410

Length

Max length12
Median length4
Mean length4.283
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row미조면작목반
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8334
83.3%
서면작목반 837
 
8.4%
동남해작목반 191
 
1.9%
새남해농협 고현면작목반 122
 
1.2%
남해읍작목반 106
 
1.1%
삼동면작목반 91
 
0.9%
설천작목반 86
 
0.9%
남면작목반 65
 
0.7%
설천 52
 
0.5%
상주면작목반 26
 
0.3%
Other values (11) 90
 
0.9%

Length

2023-12-12T11:01:47.851758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 8334
82.3%
서면작목반 837
 
8.3%
동남해작목반 191
 
1.9%
새남해농협 122
 
1.2%
고현면작목반 122
 
1.2%
남해읍작목반 106
 
1.0%
삼동면작목반 91
 
0.9%
설천작목반 86
 
0.8%
남면작목반 65
 
0.6%
설천 52
 
0.5%
Other values (13) 122
 
1.2%

재배면적
Real number (ℝ)

Distinct2411
Distinct (%)24.3%
Missing73
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean1393.2631
Minimum0
Maximum45516
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:01:48.015190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile193
Q1496
median902
Q31600
95-th percentile4200
Maximum45516
Range45516
Interquartile range (IQR)1104

Descriptive statistics

Standard deviation1837.6778
Coefficient of variation (CV)1.318974
Kurtosis96.217465
Mean1393.2631
Median Absolute Deviation (MAD)487
Skewness6.7281882
Sum13830923
Variance3377059.8
MonotonicityNot monotonic
2023-12-12T11:01:48.197823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
330 527
 
5.3%
660 411
 
4.1%
1000 253
 
2.5%
990 204
 
2.0%
300 188
 
1.9%
600 170
 
1.7%
500 142
 
1.4%
1320 127
 
1.3%
495 120
 
1.2%
900 107
 
1.1%
Other values (2401) 7678
76.8%
ValueCountFrequency (%)
0 1
 
< 0.1%
2 1
 
< 0.1%
5 1
 
< 0.1%
10 2
 
< 0.1%
12 1
 
< 0.1%
25 1
 
< 0.1%
30 8
0.1%
31 1
 
< 0.1%
33 2
 
< 0.1%
34 1
 
< 0.1%
ValueCountFrequency (%)
45516 1
< 0.1%
45376 1
< 0.1%
32400 1
< 0.1%
26647 1
< 0.1%
24073 1
< 0.1%
22300 1
< 0.1%
19440 1
< 0.1%
18800 1
< 0.1%
18515 1
< 0.1%
17002 2
< 0.1%

재배지주소
Text

Distinct8741
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T11:01:48.763104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length11.7486
Min length2

Characters and Unicode

Total characters117486
Distinct characters120
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8148 ?
Unique (%)81.5%

Sample

1st row미조면 상주리 432
2nd row남면 평산리 442
3rd row서면 중현리 866
4th row고현면 차면리 418-1
5th row서면
ValueCountFrequency (%)
서면 1704
 
5.6%
고현면 1638
 
5.4%
설천면 1332
 
4.4%
남면 1118
 
3.7%
이동면 1103
 
3.6%
창선면 949
 
3.1%
외1 845
 
2.8%
삼동면 808
 
2.6%
남해읍 711
 
2.3%
외2 464
 
1.5%
Other values (4733) 19936
65.1%
2023-12-12T11:01:49.585141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20652
17.6%
면 9427
 
8.0%
리 9359
 
8.0%
1 8184
 
7.0%
2 4542
 
3.9%
3 3669
 
3.1%
- 3664
 
3.1%
5 3215
 
2.7%
4 3066
 
2.6%
6 2845
 
2.4%
Other values (110) 48863
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57177
48.7%
Decimal Number 35991
30.6%
Space Separator 20652
 
17.6%
Dash Punctuation 3664
 
3.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 9427
16.5%
리 9359
16.4%
남 2300
 
4.0%
동 2177
 
3.8%
현 2134
 
3.7%
서 1963
 
3.4%
외 1891
 
3.3%
천 1789
 
3.1%
고 1639
 
2.9%
상 1352
 
2.4%
Other values (97) 23146
40.5%
Decimal Number
ValueCountFrequency (%)
1 8184
22.7%
2 4542
12.6%
3 3669
10.2%
5 3215
 
8.9%
4 3066
 
8.5%
6 2845
 
7.9%
7 2717
 
7.5%
8 2671
 
7.4%
0 2566
 
7.1%
9 2516
 
7.0%
Space Separator
ValueCountFrequency (%)
20652
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3664
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60309
51.3%
Hangul 57177
48.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 9427
16.5%
리 9359
16.4%
남 2300
 
4.0%
동 2177
 
3.8%
현 2134
 
3.7%
서 1963
 
3.4%
외 1891
 
3.3%
천 1789
 
3.1%
고 1639
 
2.9%
상 1352
 
2.4%
Other values (97) 23146
40.5%
Common
ValueCountFrequency (%)
20652
34.2%
1 8184
 
13.6%
2 4542
 
7.5%
3 3669
 
6.1%
- 3664
 
6.1%
5 3215
 
5.3%
4 3066
 
5.1%
6 2845
 
4.7%
7 2717
 
4.5%
8 2671
 
4.4%
Other values (3) 5084
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60309
51.3%
Hangul 57177
48.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20652
34.2%
1 8184
 
13.6%
2 4542
 
7.5%
3 3669
 
6.1%
- 3664
 
6.1%
5 3215
 
5.3%
4 3066
 
5.1%
6 2845
 
4.7%
7 2717
 
4.5%
8 2671
 
4.4%
Other values (3) 5084
 
8.4%
Hangul
ValueCountFrequency (%)
면 9427
16.5%
리 9359
16.4%
남 2300
 
4.0%
동 2177
 
3.8%
현 2134
 
3.7%
서 1963
 
3.4%
외 1891
 
3.3%
천 1789
 
3.1%
고 1639
 
2.9%
상 1352
 
2.4%
Other values (97) 23146
40.5%

행정동명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
서면
1703 
고현면
1637 
설천면
1332 
남면
1118 
이동면
1103 
Other values (6)
3107 

Length

Max length3
Median length3
Mean length2.7179
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row미조면
2nd row남면
3rd row서면
4th row고현면
5th row서면

Common Values

ValueCountFrequency (%)
서면 1703
17.0%
고현면 1637
16.4%
설천면 1332
13.3%
남면 1118
11.2%
이동면 1103
11.0%
창선면 949
9.5%
삼동면 808
8.1%
남해읍 711
7.1%
상주면 328
 
3.3%
미조면 310
 
3.1%

Length

2023-12-12T11:01:49.746846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서면 1703
17.0%
고현면 1637
16.4%
설천면 1332
13.3%
남면 1118
11.2%
이동면 1103
11.0%
창선면 949
9.5%
삼동면 808
8.1%
남해읍 711
7.1%
상주면 328
 
3.3%
미조면 310
 
3.1%

행정리명
Text

MISSING 

Distinct95
Distinct (%)1.0%
Missing620
Missing (%)6.2%
Memory size156.2 KiB
2023-12-12T11:01:50.036073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9890192
Min length2

Characters and Unicode

Total characters28037
Distinct characters98
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

Unique14 ?
Unique (%)0.1%

Sample

1st row상주리
2nd row평산리
3rd row중현리
4th row차면리
5th row금음리
ValueCountFrequency (%)
노구리 330
 
3.5%
진목리 292
 
3.1%
초음리 276
 
2.9%
갈화리 273
 
2.9%
당항리 262
 
2.8%
상주리 259
 
2.8%
영지리 240
 
2.6%
남상리 239
 
2.5%
금음리 231
 
2.5%
포상리 222
 
2.4%
Other values (85) 6756
72.0%
2023-12-12T11:01:50.537466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 9358
33.4%
상 1024
 
3.7%
음 729
 
2.6%
대 627
 
2.2%
정 500
 
1.8%
현 497
 
1.8%
평 482
 
1.7%
남 471
 
1.7%
항 457
 
1.6%
천 457
 
1.6%
Other values (88) 13435
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28037
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 9358
33.4%
상 1024
 
3.7%
음 729
 
2.6%
대 627
 
2.2%
정 500
 
1.8%
현 497
 
1.8%
평 482
 
1.7%
남 471
 
1.7%
항 457
 
1.6%
천 457
 
1.6%
Other values (88) 13435
47.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28037
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 9358
33.4%
상 1024
 
3.7%
음 729
 
2.6%
대 627
 
2.2%
정 500
 
1.8%
현 497
 
1.8%
평 482
 
1.7%
남 471
 
1.7%
항 457
 
1.6%
천 457
 
1.6%
Other values (88) 13435
47.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28037
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 9358
33.4%
상 1024
 
3.7%
음 729
 
2.6%
대 627
 
2.2%
정 500
 
1.8%
현 497
 
1.8%
평 482
 
1.7%
남 471
 
1.7%
항 457
 
1.6%
천 457
 
1.6%
Other values (88) 13435
47.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022-11-03
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-03
2nd row2022-11-03
3rd row2022-11-03
4th row2022-11-03
5th row2022-11-03

Common Values

ValueCountFrequency (%)
2022-11-03 10000
100.0%

Length

2023-12-12T11:01:50.742125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:01:50.869819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-03 10000
100.0%

Interactions

2023-12-12T11:01:44.925097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:01:44.116040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:01:44.508531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:01:45.048216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:01:44.252071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:01:44.640079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:01:45.197317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:01:44.387646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:01:44.785044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:01:50.959736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자료일련번호기준연도작물명소속명재배면적행정동명행정리명
자료일련번호1.0000.7630.8500.9740.1710.8090.913
기준연도0.7631.0000.7870.8740.0170.3590.566
작물명0.8500.7871.0001.0000.1610.4430.668
소속명0.9740.8741.0001.0000.5871.0000.978
재배면적0.1710.0170.1610.5871.0000.0900.147
행정동명0.8090.3590.4431.0000.0901.0000.999
행정리명0.9130.5660.6680.9780.1470.9991.000
2023-12-12T11:01:51.115860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작물명소속명행정동명
작물명1.0000.9950.246
소속명0.9951.0000.987
행정동명0.2460.9871.000
2023-12-12T11:01:51.230776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자료일련번호기준연도재배면적작물명소속명행정동명
자료일련번호1.0000.697-0.1130.6640.9350.516
기준연도0.6971.0000.0380.4290.8770.133
재배면적-0.1130.0381.0000.0900.3120.042
작물명0.6640.4290.0901.0000.9950.246
소속명0.9350.8770.3120.9951.0000.987
행정동명0.5160.1330.0420.2460.9871.000

Missing values

2023-12-12T11:01:45.351848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:01:45.536983image/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.
2023-12-12T11:01:45.704636image/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

자료일련번호기준연도작물명마을명소속명재배면적재배지주소행정동명행정리명데이터기준일자
120112022021미니단호박상주미조면작목반1160미조면 상주리 432미조면상주리2022-11-03
926392642022마늘평산1<NA>288남면 평산리 442남면평산리2022-11-03
981598162022마늘중현<NA>600서면 중현리 866서면중현리2022-11-03
10398103992022마늘차면<NA>66고현면 차면리 418-1고현면차면리2022-11-03
515951602022시금치유포<NA>2049서면서면<NA>2022-11-03
503350342022시금치작장<NA>4600서면서면<NA>2022-11-03
492449252022시금치장항<NA>1500서면서면<NA>2022-11-03
651465152022시금치봉우<NA>330설천면 금음리 산26-2설천면금음리2022-11-03
266326642022시금치신기<NA>330남해읍 아산리 531남해읍아산리2022-11-03
119111922021미니단호박<NA>삼동면작목반271삼동면 지족리 936-2삼동면지족리2022-11-03
자료일련번호기준연도작물명마을명소속명재배면적재배지주소행정동명행정리명데이터기준일자
583458352022시금치북남치<NA>602고현면 남치리 74고현면남치리2022-11-03
385938602022시금치내산<NA>2824삼동면 봉화리 1781-4 외3삼동면봉화리2022-11-03
287428752022시금치양지<NA>2063남해읍 평현리 335남해읍평현리2022-11-03
782678272022마늘정거<NA>495이동면 석평리 725이동면석평리2022-11-03
973597362022마늘유포<NA>991서면서면<NA>2022-11-03
11190111912022마늘동흥<NA>3100설천면 문의리 127설천면문의리2022-11-03
581158122022시금치북남치<NA>661고현면 남치리 329고현면남치리2022-11-03
978997902022마늘회룡<NA>900서면 중현리 1459-1서면중현리2022-11-03
624162422022시금치진목<NA>150설천면 진목리 859설천면진목리2022-11-03
178017812021미니단호박작장서면작목반1326서면 작장리 1486서면작장리2022-11-03