Overview

Dataset statistics

Number of variables5
Number of observations126
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory44.0 B

Variable types

Categorical3
Numeric2

Dataset

Description농지연금 담보농지에 대한 최근 5년간 도별, 지목별, 면적 및 농지가격 통계자료 제공
Author한국농어촌공사
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20170915000000000826

Alerts

면적(천제곱미터) is highly overall correlated with 농지가격합계(백만원) and 1 other fieldsHigh correlation
농지가격합계(백만원) is highly overall correlated with 면적(천제곱미터)High correlation
지목(전,답,과수원) is highly overall correlated with 면적(천제곱미터)High correlation
농지가격합계(백만원) has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:20:59.621560
Analysis finished2023-12-11 03:21:00.470607
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가입년도
Categorical

Distinct5
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2014
26 
2012
25 
2013
25 
2015
25 
2016
25 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2012
2nd row2012
3rd row2012
4th row2012
5th row2012

Common Values

ValueCountFrequency (%)
2014 26
20.6%
2012 25
19.8%
2013 25
19.8%
2015 25
19.8%
2016 25
19.8%

Length

2023-12-11T12:21:00.550920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:00.677943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2014 26
20.6%
2012 25
19.8%
2013 25
19.8%
2015 25
19.8%
2016 25
19.8%

지역(도)
Categorical

Distinct9
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
강원
15 
충북
15 
충남
15 
전남
15 
경북
15 
Other values (4)
51 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기
2nd row경기
3rd row강원
4th row강원
5th row강원

Common Values

ValueCountFrequency (%)
강원 15
11.9%
충북 15
11.9%
충남 15
11.9%
전남 15
11.9%
경북 15
11.9%
경남 15
11.9%
경기 14
11.1%
전북 11
8.7%
제주 11
8.7%

Length

2023-12-11T12:21:00.903184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:01.056591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원 15
11.9%
충북 15
11.9%
충남 15
11.9%
전남 15
11.9%
경북 15
11.9%
경남 15
11.9%
경기 14
11.1%
전북 11
8.7%
제주 11
8.7%

지목(전,답,과수원)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
전
45 
답
41 
과수
40 

Length

Max length2
Median length1
Mean length1.3174603
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전 45
35.7%
답 41
32.5%
과수 40
31.7%

Length

2023-12-11T12:21:01.250287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:01.361671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전 45
35.7%
답 41
32.5%
과수 40
31.7%

면적(천제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct104
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.69048
Minimum0
Maximum1045
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T12:21:01.521750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.25
Q122
median108
Q3246.75
95-th percentile594
Maximum1045
Range1045
Interquartile range (IQR)224.75

Descriptive statistics

Standard deviation213.91402
Coefficient of variation (CV)1.1645352
Kurtosis3.2613383
Mean183.69048
Median Absolute Deviation (MAD)96
Skewness1.751705
Sum23145
Variance45759.207
MonotonicityNot monotonic
2023-12-11T12:21:02.010131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 3
 
2.4%
3 3
 
2.4%
22 3
 
2.4%
11 3
 
2.4%
15 3
 
2.4%
6 3
 
2.4%
12 3
 
2.4%
1 2
 
1.6%
7 2
 
1.6%
51 2
 
1.6%
Other values (94) 99
78.6%
ValueCountFrequency (%)
0 1
 
0.8%
1 2
1.6%
2 1
 
0.8%
3 3
2.4%
4 2
1.6%
6 3
2.4%
7 2
1.6%
8 3
2.4%
9 1
 
0.8%
11 3
2.4%
ValueCountFrequency (%)
1045 1
0.8%
955 1
0.8%
901 1
0.8%
779 1
0.8%
661 1
0.8%
639 1
0.8%
602 1
0.8%
570 1
0.8%
562 1
0.8%
535 1
0.8%

농지가격합계(백만원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7589.8254
Minimum16
Maximum75078
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T12:21:02.178035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile107.25
Q1779.25
median2985
Q37095.25
95-th percentile32600.75
Maximum75078
Range75062
Interquartile range (IQR)6316

Descriptive statistics

Standard deviation13262.679
Coefficient of variation (CV)1.7474288
Kurtosis10.867346
Mean7589.8254
Median Absolute Deviation (MAD)2511.5
Skewness3.1908081
Sum956318
Variance1.7589866 × 108
MonotonicityNot monotonic
2023-12-11T12:21:02.343366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30474 1
 
0.8%
6400 1
 
0.8%
5071 1
 
0.8%
508 1
 
0.8%
7033 1
 
0.8%
2564 1
 
0.8%
9974 1
 
0.8%
2351 1
 
0.8%
2921 1
 
0.8%
27901 1
 
0.8%
Other values (116) 116
92.1%
ValueCountFrequency (%)
16 1
0.8%
17 1
0.8%
43 1
0.8%
45 1
0.8%
68 1
0.8%
98 1
0.8%
105 1
0.8%
114 1
0.8%
125 1
0.8%
204 1
0.8%
ValueCountFrequency (%)
75078 1
0.8%
65900 1
0.8%
63824 1
0.8%
52154 1
0.8%
45939 1
0.8%
42129 1
0.8%
32896 1
0.8%
31715 1
0.8%
30474 1
0.8%
27901 1
0.8%

Interactions

2023-12-11T12:21:00.041487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:20:59.827191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:21:00.150759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:20:59.918797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T12:21:02.450478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가입년도지역(도)지목(전,답,과수원)면적(천제곱미터)농지가격합계(백만원)
가입년도1.0000.0000.0000.0530.000
지역(도)0.0001.0000.0000.2760.585
지목(전,답,과수원)0.0000.0001.0000.6870.582
면적(천제곱미터)0.0530.2760.6871.0000.847
농지가격합계(백만원)0.0000.5850.5820.8471.000
2023-12-11T12:21:02.551829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역(도)지목(전,답,과수원)가입년도
지역(도)1.0000.0000.000
지목(전,답,과수원)0.0001.0000.000
가입년도0.0000.0001.000
2023-12-11T12:21:02.655034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(천제곱미터)농지가격합계(백만원)가입년도지역(도)지목(전,답,과수원)
면적(천제곱미터)1.0000.9300.0000.1260.526
농지가격합계(백만원)0.9301.0000.0000.2210.303
가입년도0.0000.0001.0000.0000.000
지역(도)0.1260.2210.0001.0000.000
지목(전,답,과수원)0.5260.3030.0000.0001.000

Missing values

2023-12-11T12:21:00.281706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:21:00.423280image/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

가입년도지역(도)지목(전,답,과수원)면적(천제곱미터)농지가격합계(백만원)
02012경기전37030474
12012경기답66142129
22012강원전2054358
32012강원답1564707
42012강원과수221406
52012충북전1172255
62012충북답1764204
72012충북과수15271
82012충남전1044434
92012충남답42210840
가입년도지역(도)지목(전,답,과수원)면적(천제곱미터)농지가격합계(백만원)
1162016전남답5198252
1172016전남과수28831
1182016경북전2105957
1192016경북답48716889
1202016경북과수512262
1212016경남전924505
1222016경남답38619660
1232016경남과수1224789
1242016제주전11346
1252016제주과수6290