Overview

Dataset statistics

Number of variables5
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory46.9 B

Variable types

Categorical3
Numeric2

Dataset

Description한국농어촌공사_농지연금 담보농지에 대한 최근 도별, 지목별, 면적 및 농지가격 년도별 통계자료 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15052529/fileData.do

Alerts

가입년도 has constant value ""Constant
면적(천제곱미터) is highly overall correlated with 농지가격합계(백만원)High correlation
농지가격합계(백만원) is highly overall correlated with 면적(천제곱미터) and 1 other fieldsHigh correlation
지목 is highly overall correlated with 농지가격합계(백만원)High correlation
면적(천제곱미터) has unique valuesUnique
농지가격합계(백만원) has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:04:53.472962
Analysis finished2023-12-12 17:04:54.353370
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가입년도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
2022년
27 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022년
2nd row2022년
3rd row2022년
4th row2022년
5th row2022년

Common Values

ValueCountFrequency (%)
2022년 27
100.0%

Length

2023-12-13T02:04:54.484576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:04:54.631553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022년 27
100.0%

지역(도)
Categorical

Distinct9
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
경기
3 
강원
3 
충북
3 
충남
3 
전북
3 
Other values (4)
12 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기 3
11.1%
강원 3
11.1%
충북 3
11.1%
충남 3
11.1%
전북 3
11.1%
전남 3
11.1%
경북 3
11.1%
경남 3
11.1%
제주 3
11.1%

Length

2023-12-13T02:04:54.748481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:04:54.877652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기 3
11.1%
강원 3
11.1%
충북 3
11.1%
충남 3
11.1%
전북 3
11.1%
전남 3
11.1%
경북 3
11.1%
경남 3
11.1%
제주 3
11.1%

지목
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
전
9 
답
9 
과수원
9 

Length

Max length3
Median length1
Mean length1.6666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전 9
33.3%
답 9
33.3%
과수원 9
33.3%

Length

2023-12-13T02:04:55.051957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:04:55.162851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전 9
33.3%
답 9
33.3%
과수원 9
33.3%

면적(천제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean392.18519
Minimum1
Maximum1337
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T02:04:55.260632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.7
Q154.5
median263
Q3674.5
95-th percentile1047.4
Maximum1337
Range1336
Interquartile range (IQR)620

Descriptive statistics

Standard deviation383.47561
Coefficient of variation (CV)0.97779218
Kurtosis-0.11247224
Mean392.18519
Median Absolute Deviation (MAD)212
Skewness0.9806839
Sum10589
Variance147053.54
MonotonicityNot monotonic
2023-12-13T02:04:55.386968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
744 1
 
3.7%
1337 1
 
3.7%
45 1
 
3.7%
7 1
 
3.7%
168 1
 
3.7%
192 1
 
3.7%
786 1
 
3.7%
263 1
 
3.7%
259 1
 
3.7%
899 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1 1
3.7%
7 1
3.7%
16 1
3.7%
43 1
3.7%
45 1
3.7%
51 1
3.7%
54 1
3.7%
55 1
3.7%
160 1
3.7%
168 1
3.7%
ValueCountFrequency (%)
1337 1
3.7%
1081 1
3.7%
969 1
3.7%
914 1
3.7%
899 1
3.7%
786 1
3.7%
744 1
3.7%
605 1
3.7%
439 1
3.7%
357 1
3.7%

농지가격합계(백만원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28553.704
Minimum157
Maximum137670
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T02:04:55.521191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum157
5-th percentile254.8
Q15046.5
median17249
Q340043
95-th percentile94235
Maximum137670
Range137513
Interquartile range (IQR)34996.5

Descriptive statistics

Standard deviation33532.966
Coefficient of variation (CV)1.1743824
Kurtosis3.6996685
Mean28553.704
Median Absolute Deviation (MAD)12414
Skewness1.9058663
Sum770950
Variance1.1244598 × 109
MonotonicityNot monotonic
2023-12-13T02:04:55.665016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
103616 1
 
3.7%
137670 1
 
3.7%
7152 1
 
3.7%
157 1
 
3.7%
20532 1
 
3.7%
11635 1
 
3.7%
70711 1
 
3.7%
24322 1
 
3.7%
14668 1
 
3.7%
72346 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
157 1
3.7%
226 1
3.7%
322 1
3.7%
3966 1
3.7%
3994 1
3.7%
4835 1
3.7%
4864 1
3.7%
5229 1
3.7%
7152 1
3.7%
9930 1
3.7%
ValueCountFrequency (%)
137670 1
3.7%
103616 1
3.7%
72346 1
3.7%
70711 1
3.7%
49151 1
3.7%
43739 1
3.7%
41726 1
3.7%
38360 1
3.7%
26918 1
3.7%
24322 1
3.7%

Interactions

2023-12-13T02:04:53.859830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:53.629753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:53.957729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:04:53.758727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:04:55.777334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역(도)지목면적(천제곱미터)농지가격합계(백만원)
지역(도)1.0000.0000.1580.000
지목0.0001.0000.7210.770
면적(천제곱미터)0.1580.7211.0000.915
농지가격합계(백만원)0.0000.7700.9151.000
2023-12-13T02:04:55.909504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지목지역(도)
지목1.0000.000
지역(도)0.0001.000
2023-12-13T02:04:56.027914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(천제곱미터)농지가격합계(백만원)지역(도)지목
면적(천제곱미터)1.0000.9410.0000.482
농지가격합계(백만원)0.9411.0000.0000.594
지역(도)0.0000.0001.0000.000
지목0.4820.5940.0001.000

Missing values

2023-12-13T02:04:54.086421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:04:54.277837image/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)지목면적(천제곱미터)농지가격합계(백만원)
02022년경기전744103616
12022년경기답1337137670
22022년경기과수원435229
32022년강원전43926918
42022년강원답1919930
52022년강원과수원1226
62022년충북전33214781
72022년충북답35719645
82022년충북과수원543994
92022년충남전33123206
가입년도지역(도)지목면적(천제곱미터)농지가격합계(백만원)
172022년전남과수원554835
182022년경북전60538360
192022년경북답89972346
202022년경북과수원25914668
212022년경남전26324322
222022년경남답78670711
232022년경남과수원19211635
242022년제주전16820532
252022년제주답7157
262022년제주과수원457152