Overview

Dataset statistics

Number of variables13
Number of observations474
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory49.7 KiB
Average record size in memory107.3 B

Variable types

Numeric3
Categorical7
Text2
DateTime1

Dataset

Description전라북도 정읍시에서 보유한 친환경유기농업육성정보(시도, 시군, 읍면동, 리동, 지번, 공부면적, 지목, 인증종류, 신청품목, 신청면적, 면적단위) 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15084907/fileData.do

Alerts

시도 has constant value ""Constant
시군 has constant value ""Constant
면적단위 has constant value ""Constant
데이터기준일자 has constant value ""Constant
리동 is highly overall correlated with 번호 and 2 other fieldsHigh correlation
읍면동 is highly overall correlated with 공부면적 and 2 other fieldsHigh correlation
번호 is highly overall correlated with 리동High correlation
공부면적 is highly overall correlated with 신청면적 and 1 other fieldsHigh correlation
신청면적 is highly overall correlated with 공부면적High correlation
인증종류 is highly overall correlated with 읍면동 and 1 other fieldsHigh correlation
지목 is highly imbalanced (60.9%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:49:20.259198
Analysis finished2023-12-12 03:49:22.524523
Duration2.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct474
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237.5
Minimum1
Maximum474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-12T12:49:22.656869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.65
Q1119.25
median237.5
Q3355.75
95-th percentile450.35
Maximum474
Range473
Interquartile range (IQR)236.5

Descriptive statistics

Standard deviation136.97628
Coefficient of variation (CV)0.57674221
Kurtosis-1.2
Mean237.5
Median Absolute Deviation (MAD)118.5
Skewness0
Sum112575
Variance18762.5
MonotonicityStrictly increasing
2023-12-12T12:49:22.865997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
313 1
 
0.2%
325 1
 
0.2%
324 1
 
0.2%
323 1
 
0.2%
322 1
 
0.2%
321 1
 
0.2%
320 1
 
0.2%
319 1
 
0.2%
318 1
 
0.2%
Other values (464) 464
97.9%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
474 1
0.2%
473 1
0.2%
472 1
0.2%
471 1
0.2%
470 1
0.2%
469 1
0.2%
468 1
0.2%
467 1
0.2%
466 1
0.2%
465 1
0.2%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
전라북도
474 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라북도 474
100.0%

Length

2023-12-12T12:49:23.077919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:49:23.208970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 474
100.0%

시군
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
정읍시
474 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정읍시 474
100.0%

Length

2023-12-12T12:49:23.327708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:49:23.461593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정읍시 474
100.0%

읍면동
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
고부면
107 
정우면
105 
소성면
53 
칠보면
44 
산외면
38 
Other values (13)
127 

Length

Max length4
Median length3
Mean length3.0337553
Min length3

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
고부면 107
22.6%
정우면 105
22.2%
소성면 53
11.2%
칠보면 44
9.3%
산외면 38
 
8.0%
입암면 31
 
6.5%
이평면 20
 
4.2%
감곡면 20
 
4.2%
신태인읍 16
 
3.4%
부전동 10
 
2.1%
Other values (8) 30
 
6.3%

Length

2023-12-12T12:49:23.613882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고부면 107
22.6%
정우면 105
22.2%
소성면 53
11.2%
칠보면 44
9.3%
산외면 38
 
8.0%
입암면 31
 
6.5%
이평면 20
 
4.2%
감곡면 20
 
4.2%
신태인읍 16
 
3.4%
과교동 10
 
2.1%
Other values (8) 30
 
6.3%

리동
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
산북리
68 
신중리
41 
관청리
40 
반곡리
33 
<NA>
28 
Other values (31)
264 

Length

Max length4
Median length3
Mean length3.0590717
Min length3

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
산북리 68
14.3%
신중리 41
 
8.6%
관청리 40
 
8.4%
반곡리 33
 
7.0%
<NA> 28
 
5.9%
수금리 25
 
5.3%
강고리 25
 
5.3%
상두리 24
 
5.1%
등계리 20
 
4.2%
신면리 19
 
4.0%
Other values (26) 151
31.9%

Length

2023-12-12T12:49:23.788684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
산북리 68
14.3%
신중리 41
 
8.6%
관청리 40
 
8.4%
반곡리 33
 
7.0%
na 28
 
5.9%
수금리 25
 
5.3%
강고리 25
 
5.3%
상두리 24
 
5.1%
등계리 20
 
4.2%
신면리 19
 
4.0%
Other values (26) 151
31.9%

지번
Text

Distinct456
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-12T12:49:24.151433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.0295359
Min length9

Characters and Unicode

Total characters4280
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique438 ?
Unique (%)92.4%

Sample

1st row0632-0000
2nd row0633-0000
3rd row0634-0001
4th row0635-0001
5th row0635-0002
ValueCountFrequency (%)
1162-0000 2
 
0.4%
1208-0000 2
 
0.4%
0690-0000 2
 
0.4%
1277-0000 2
 
0.4%
1113-0000 2
 
0.4%
0734-0000 2
 
0.4%
0733-0000 2
 
0.4%
0691-0000 2
 
0.4%
1114-0000 2
 
0.4%
0735-0000 2
 
0.4%
Other values (446) 454
95.8%
2023-12-12T12:49:24.816391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2135
49.9%
- 474
 
11.1%
1 416
 
9.7%
7 188
 
4.4%
2 173
 
4.0%
4 172
 
4.0%
6 151
 
3.5%
8 149
 
3.5%
3 142
 
3.3%
5 141
 
3.3%
Other values (2) 139
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3792
88.6%
Dash Punctuation 474
 
11.1%
Other Letter 14
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2135
56.3%
1 416
 
11.0%
7 188
 
5.0%
2 173
 
4.6%
4 172
 
4.5%
6 151
 
4.0%
8 149
 
3.9%
3 142
 
3.7%
5 141
 
3.7%
9 125
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 474
100.0%
Other Letter
ValueCountFrequency (%)
산 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4266
99.7%
Hangul 14
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2135
50.0%
- 474
 
11.1%
1 416
 
9.8%
7 188
 
4.4%
2 173
 
4.1%
4 172
 
4.0%
6 151
 
3.5%
8 149
 
3.5%
3 142
 
3.3%
5 141
 
3.3%
Hangul
ValueCountFrequency (%)
산 14
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4266
99.7%
Hangul 14
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2135
50.0%
- 474
 
11.1%
1 416
 
9.8%
7 188
 
4.4%
2 173
 
4.1%
4 172
 
4.0%
6 151
 
3.5%
8 149
 
3.5%
3 142
 
3.3%
5 141
 
3.3%
Hangul
ValueCountFrequency (%)
산 14
100.0%

공부면적
Real number (ℝ)

HIGH CORRELATION 

Distinct436
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3788.6857
Minimum70
Maximum87332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-12T12:49:25.025727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile478.6
Q11412
median2594
Q33768
95-th percentile7637.85
Maximum87332
Range87262
Interquartile range (IQR)2356

Descriptive statistics

Standard deviation7246.4878
Coefficient of variation (CV)1.9126653
Kurtosis70.177355
Mean3788.6857
Median Absolute Deviation (MAD)1179.5
Skewness7.6745677
Sum1795837
Variance52511585
MonotonicityNot monotonic
2023-12-12T12:49:25.214680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4000 7
 
1.5%
1000 4
 
0.8%
1608 2
 
0.4%
175 2
 
0.4%
3920 2
 
0.4%
615 2
 
0.4%
3716 2
 
0.4%
2984 2
 
0.4%
2995 2
 
0.4%
24255 2
 
0.4%
Other values (426) 447
94.3%
ValueCountFrequency (%)
70 1
0.2%
116 1
0.2%
162 1
0.2%
175 2
0.4%
234 1
0.2%
261 1
0.2%
263 1
0.2%
271 1
0.2%
290 1
0.2%
294 1
0.2%
ValueCountFrequency (%)
87332 1
0.2%
70472 1
0.2%
69492 1
0.2%
42331 2
0.4%
38397 1
0.2%
32110 1
0.2%
24255 2
0.4%
22707 1
0.2%
20094 1
0.2%
16066 1
0.2%

지목
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
답
347 
전
96 
임야
 
19
하천
 
4
대
 
3
Other values (3)
 
5

Length

Max length3
Median length1
Mean length1.0675105
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row답
2nd row답
3rd row답
4th row전
5th row답

Common Values

ValueCountFrequency (%)
답 347
73.2%
전 96
 
20.3%
임야 19
 
4.0%
하천 4
 
0.8%
대 3
 
0.6%
잡종지 2
 
0.4%
과수원 2
 
0.4%
도로 1
 
0.2%

Length

2023-12-12T12:49:25.415231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:49:25.570311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
답 347
73.2%
전 96
 
20.3%
임야 19
 
4.0%
하천 4
 
0.8%
대 3
 
0.6%
잡종지 2
 
0.4%
과수원 2
 
0.4%
도로 1
 
0.2%

인증종류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
유기농 (유기지속)
371 
무농약
103 

Length

Max length10
Median length10
Mean length8.478903
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유기농 (유기지속)
2nd row유기농 (유기지속)
3rd row유기농 (유기지속)
4th row유기농 (유기지속)
5th row유기농 (유기지속)

Common Values

ValueCountFrequency (%)
유기농 (유기지속) 371
78.3%
무농약 103
 
21.7%

Length

2023-12-12T12:49:26.080530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:49:26.207322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유기농 371
43.9%
유기지속 371
43.9%
무농약 103
 
12.2%

신청품목
Text

Distinct57
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-12T12:49:26.427725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length2.7932489
Min length1

Characters and Unicode

Total characters1324
Distinct characters97
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)4.6%

Sample

1st row찰벼
2nd row찰벼
3rd row찰벼
4th row찰벼
5th row찰벼
ValueCountFrequency (%)
신동진벼 129
27.2%
찰벼 59
12.4%
멥쌀 59
12.4%
쌀 24
 
5.1%
여주 22
 
4.6%
포도 19
 
4.0%
통연근 16
 
3.4%
벼 15
 
3.2%
녹차잎 15
 
3.2%
블루베리 10
 
2.1%
Other values (47) 106
22.4%
2023-12-12T12:49:26.834773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
벼 210
15.9%
신 129
 
9.7%
진 129
 
9.7%
동 129
 
9.7%
쌀 83
 
6.3%
찰 59
 
4.5%
멥 59
 
4.5%
리 26
 
2.0%
여 24
 
1.8%
주 22
 
1.7%
Other values (87) 454
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1316
99.4%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
벼 210
16.0%
신 129
 
9.8%
진 129
 
9.8%
동 129
 
9.8%
쌀 83
 
6.3%
찰 59
 
4.5%
멥 59
 
4.5%
리 26
 
2.0%
여 24
 
1.8%
주 22
 
1.7%
Other values (85) 446
33.9%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1316
99.4%
Common 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
벼 210
16.0%
신 129
 
9.8%
진 129
 
9.8%
동 129
 
9.8%
쌀 83
 
6.3%
찰 59
 
4.5%
멥 59
 
4.5%
리 26
 
2.0%
여 24
 
1.8%
주 22
 
1.7%
Other values (85) 446
33.9%
Common
ValueCountFrequency (%)
( 4
50.0%
) 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1316
99.4%
ASCII 8
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
벼 210
16.0%
신 129
 
9.8%
진 129
 
9.8%
동 129
 
9.8%
쌀 83
 
6.3%
찰 59
 
4.5%
멥 59
 
4.5%
리 26
 
2.0%
여 24
 
1.8%
주 22
 
1.7%
Other values (85) 446
33.9%
ASCII
ValueCountFrequency (%)
( 4
50.0%
) 4
50.0%

신청면적
Real number (ℝ)

HIGH CORRELATION 

Distinct427
Distinct (%)90.5%
Missing2
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean3037.3155
Minimum70
Maximum50000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2023-12-12T12:49:27.005557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile459.05
Q11200
median2282
Q33535.225
95-th percentile6943.65
Maximum50000
Range49930
Interquartile range (IQR)2335.225

Descriptive statistics

Standard deviation4587.9475
Coefficient of variation (CV)1.5105272
Kurtosis72.338246
Mean3037.3155
Median Absolute Deviation (MAD)1151
Skewness7.7262155
Sum1433612.9
Variance21049262
MonotonicityNot monotonic
2023-12-12T12:49:27.259873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000.0 9
 
1.9%
4000.0 6
 
1.3%
150.0 3
 
0.6%
50000.0 3
 
0.6%
1980.0 3
 
0.6%
500.0 3
 
0.6%
2200.0 2
 
0.4%
1320.0 2
 
0.4%
1200.0 2
 
0.4%
2298.0 2
 
0.4%
Other values (417) 437
92.2%
ValueCountFrequency (%)
70.0 1
 
0.2%
100.0 2
0.4%
116.0 1
 
0.2%
150.0 3
0.6%
162.0 1
 
0.2%
175.0 2
0.4%
234.0 1
 
0.2%
245.0 1
 
0.2%
264.0 1
 
0.2%
283.0 1
 
0.2%
ValueCountFrequency (%)
50000.0 3
0.6%
32000.0 1
 
0.2%
20094.0 1
 
0.2%
20000.0 1
 
0.2%
15487.0 1
 
0.2%
12872.0 1
 
0.2%
12629.0 1
 
0.2%
10800.0 1
 
0.2%
10708.0 1
 
0.2%
9600.0 1
 
0.2%

면적단위
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
메타제곱
474 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
메타제곱 474
100.0%

Length

2023-12-12T12:49:27.485093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:49:27.590416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
메타제곱 474
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2023-12-12T12:49:27.692254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:49:27.820945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T12:49:21.764502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:49:21.054910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:49:21.378864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:49:21.896906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:49:21.156888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:49:21.517813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:49:22.012565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:49:21.265181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:49:21.636843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:49:28.031651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호읍면동리동공부면적지목인증종류신청품목신청면적
번호1.0000.7490.8780.0670.2640.4070.8050.106
읍면동0.7491.0001.0000.8740.6330.9030.9620.732
리동0.8781.0001.0000.5700.6980.8930.9760.390
공부면적0.0670.8740.5701.0000.5370.1730.7430.809
지목0.2640.6330.6980.5371.0000.1210.7890.340
인증종류0.4070.9030.8930.1730.1211.0000.7960.087
신청품목0.8050.9620.9760.7430.7890.7961.0000.507
신청면적0.1060.7320.3900.8090.3400.0870.5071.000
2023-12-12T12:49:28.178568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
리동인증종류지목읍면동
리동1.0000.7790.3470.973
인증종류0.7791.0000.0900.752
지목0.3470.0901.0000.324
읍면동0.9730.7520.3241.000
2023-12-12T12:49:28.325095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호공부면적신청면적읍면동리동지목인증종류
번호1.000-0.046-0.0250.4010.5230.1290.309
공부면적-0.0461.0000.9090.6100.2750.2050.129
신청면적-0.0250.9091.0000.4330.1730.1890.093
읍면동0.4010.6100.4331.0000.9730.3240.752
리동0.5230.2750.1730.9731.0000.3470.779
지목0.1290.2050.1890.3240.3471.0000.090
인증종류0.3090.1290.0930.7520.7790.0901.000

Missing values

2023-12-12T12:49:22.186570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:49:22.432084image/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

번호시도시군읍면동리동지번공부면적지목인증종류신청품목신청면적면적단위데이터기준일자
01전라북도정읍시정우면산북리0632-00002820답유기농 (유기지속)찰벼1920.0메타제곱2022-12-31
12전라북도정읍시정우면산북리0633-00001950답유기농 (유기지속)찰벼1950.0메타제곱2022-12-31
23전라북도정읍시정우면산북리0634-00013812답유기농 (유기지속)찰벼3812.0메타제곱2022-12-31
34전라북도정읍시정우면산북리0635-00011207전유기농 (유기지속)찰벼1207.0메타제곱2022-12-31
45전라북도정읍시정우면산북리0635-00021094답유기농 (유기지속)찰벼1094.0메타제곱2022-12-31
56전라북도정읍시정우면산북리0639-00011349답유기농 (유기지속)찰벼1349.0메타제곱2022-12-31
67전라북도정읍시정우면산북리0639-00021438전유기농 (유기지속)찰벼1438.0메타제곱2022-12-31
78전라북도정읍시정우면산북리1753-00003411답유기농 (유기지속)찰벼3411.0메타제곱2022-12-31
89전라북도정읍시정우면산북리1754-00001556답유기농 (유기지속)찰벼1556.0메타제곱2022-12-31
910전라북도정읍시정우면산북리1755-00001803답유기농 (유기지속)찰벼1803.0메타제곱2022-12-31
번호시도시군읍면동리동지번공부면적지목인증종류신청품목신청면적면적단위데이터기준일자
464465전라북도정읍시신태인읍연정리산0042-00004000임야유기농 (유기지속)포도3579.0메타제곱2022-12-31
465466전라북도정읍시입암면접지리1049-00004004답무농약스테비아3500.0메타제곱2022-12-31
466467전라북도정읍시정우면산북리1838-00003828답유기농 (유기지속)멥쌀3828.0메타제곱2022-12-31
467468전라북도정읍시정우면산북리1839-00003830답유기농 (유기지속)멥쌀3830.0메타제곱2022-12-31
468469전라북도정읍시고부면강고리1154-00002918답유기농 (유기지속)신동진벼2918.0메타제곱2022-12-31
469470전라북도정읍시고부면강고리1160-00001780답유기농 (유기지속)신동진벼1780.0메타제곱2022-12-31
470471전라북도정읍시고부면강고리1161-00002999답유기농 (유기지속)신동진벼2999.0메타제곱2022-12-31
471472전라북도정읍시고부면강고리1162-00001511답유기농 (유기지속)신동진벼1511.0메타제곱2022-12-31
472473전라북도정읍시고부면강고리1163-00001485답유기농 (유기지속)신동진벼1485.0메타제곱2022-12-31
473474전라북도정읍시고부면강고리1164-00003004답유기농 (유기지속)신동진벼3004.0메타제곱2022-12-31