Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory517.6 KiB
Average record size in memory53.0 B

Variable types

Numeric2
Categorical3

Dataset

Description국토교통부장관이 매년 공시하는 표준지 공시지가를 기준으로 하동군수가 조사한 개별토지의 특성과 비교표준지의 특성을 비교하여, 국토교통부장관이 개발 공급한 토지가격비준표상의 토지특성차이에 따른 가격배율을 산출하고, 이를 표준지 공시지가에 곱하여 산정한 후 감정평가업자의 검증을 받아 토지소유자 등의 의견 수렴과 하동군부동산평가위원회 심의 등의 절차를 거쳐 하동군수가 결정ㆍ공시하는 개별토지의 단위면적당 가격(원/㎡).
Author경상남도 하동군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15002805

Alerts

년도 has constant value ""Constant
기준(월) is highly overall correlated with 공시일자High correlation
공시일자 is highly overall correlated with 기준(월)High correlation
기준(월) is highly imbalanced (94.2%)Imbalance
공시일자 is highly imbalanced (94.2%)Imbalance

Reproduction

Analysis started2023-12-10 23:32:56.738003
Analysis finished2023-12-10 23:32:57.471223
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

토지소재지
Real number (ℝ)

Distinct9998
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8850304 × 1018
Minimum4.885025 × 1018
Maximum4.885034 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:32:57.541523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.885025 × 1018
5-th percentile4.885025 × 1018
Q14.885031 × 1018
median4.885032 × 1018
Q34.885032 × 1018
95-th percentile4.885033 × 1018
Maximum4.885034 × 1018
Range9.0010107 × 1012
Interquartile range (IQR)1.0130045 × 1012

Descriptive statistics

Standard deviation3.1189329 × 1012
Coefficient of variation (CV)6.3846746 × 10-7
Kurtosis-0.67111099
Mean4.8850304 × 1018
Median Absolute Deviation (MAD)9.9990461 × 1011
Skewness-1.0049053
Sum3.3258062 × 1018
Variance9.7277427 × 1024
MonotonicityNot monotonic
2023-12-11T08:32:57.678233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4885033025110200000 2
 
< 0.1%
4885033025111810000 2
 
< 0.1%
4885033022101470000 1
 
< 0.1%
4885032025109210000 1
 
< 0.1%
4885032032105370000 1
 
< 0.1%
4885032033101400006 1
 
< 0.1%
4885034022106890001 1
 
< 0.1%
4885032029106450000 1
 
< 0.1%
4885032029104220000 1
 
< 0.1%
4885033024116890000 1
 
< 0.1%
Other values (9988) 9988
99.9%
ValueCountFrequency (%)
4885025021100070001 1
< 0.1%
4885025021100090000 1
< 0.1%
4885025021100190000 1
< 0.1%
4885025021100190001 1
< 0.1%
4885025021100200000 1
< 0.1%
4885025021100370002 1
< 0.1%
4885025021100410000 1
< 0.1%
4885025021100440003 1
< 0.1%
4885025021100450003 1
< 0.1%
4885025021100460000 1
< 0.1%
ValueCountFrequency (%)
4885034022110770000 1
< 0.1%
4885034022110750001 1
< 0.1%
4885034022110610013 1
< 0.1%
4885034022110600000 1
< 0.1%
4885034022110580000 1
< 0.1%
4885034022110510000 1
< 0.1%
4885034022110380001 1
< 0.1%
4885034022110360000 1
< 0.1%
4885034022110350000 1
< 0.1%
4885034022110310001 1
< 0.1%

년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2010
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2010
2nd row2010
3rd row2010
4th row2010
5th row2010

Common Values

ValueCountFrequency (%)
2010 10000
100.0%

Length

2023-12-11T08:32:57.793284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:32:57.895962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2010 10000
100.0%

개별공시지가
Real number (ℝ)

Distinct2007
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19688.424
Minimum39
Maximum1340000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:32:57.992746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile200
Q11150
median3800
Q310700
95-th percentile72200
Maximum1340000
Range1339961
Interquartile range (IQR)9550

Descriptive statistics

Standard deviation75481.536
Coefficient of variation (CV)3.8338029
Kurtosis109.46282
Mean19688.424
Median Absolute Deviation (MAD)3280
Skewness9.3527622
Sum1.9688424 × 108
Variance5.6974623 × 109
MonotonicityNot monotonic
2023-12-11T08:32:58.116993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3000 51
 
0.5%
2170 50
 
0.5%
6270 46
 
0.5%
1680 45
 
0.4%
3460 45
 
0.4%
990 44
 
0.4%
5440 43
 
0.4%
1610 41
 
0.4%
1480 41
 
0.4%
2050 41
 
0.4%
Other values (1997) 9553
95.5%
ValueCountFrequency (%)
39 8
0.1%
42 1
 
< 0.1%
46 3
 
< 0.1%
49 2
 
< 0.1%
52 2
 
< 0.1%
59 2
 
< 0.1%
62 2
 
< 0.1%
66 8
0.1%
72 3
 
< 0.1%
75 1
 
< 0.1%
ValueCountFrequency (%)
1340000 3
< 0.1%
1280000 1
 
< 0.1%
1140000 1
 
< 0.1%
1100000 4
< 0.1%
1050000 1
 
< 0.1%
1030000 1
 
< 0.1%
1010000 1
 
< 0.1%
1000000 1
 
< 0.1%
981000 1
 
< 0.1%
895000 1
 
< 0.1%

기준(월)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9933 
7
 
67

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 9933
99.3%
7 67
 
0.7%

Length

2023-12-11T08:32:58.247831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:32:58.331524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9933
99.3%
7 67
 
0.7%

공시일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
20100531
9933 
20101029
 
67

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20100531
2nd row20100531
3rd row20100531
4th row20100531
5th row20100531

Common Values

ValueCountFrequency (%)
20100531 9933
99.3%
20101029 67
 
0.7%

Length

2023-12-11T08:32:58.423643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:32:58.495720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20100531 9933
99.3%
20101029 67
 
0.7%

Interactions

2023-12-11T08:32:57.145399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:32:56.969398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:32:57.238280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:32:57.051698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:32:58.547463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
토지소재지개별공시지가기준(월)공시일자
토지소재지1.0000.2850.0040.004
개별공시지가0.2851.0000.0000.000
기준(월)0.0040.0001.0001.000
공시일자0.0040.0001.0001.000
2023-12-11T08:32:58.624530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준(월)공시일자
기준(월)1.0000.992
공시일자0.9921.000
2023-12-11T08:32:58.709887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
토지소재지개별공시지가기준(월)공시일자
토지소재지1.000-0.3530.0050.005
개별공시지가-0.3531.0000.0000.000
기준(월)0.0050.0001.0000.992
공시일자0.0050.0000.9921.000

Missing values

2023-12-11T08:32:57.349908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:32:57.431412image/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

토지소재지년도개별공시지가기준(월)공시일자
102054885025024101860005201037300120100531
8656748850330241060700002010285120100531
7954048850330221074600032010792120100531
45048850250211012200032010184000120100531
9298488502502410080003720101250120100531
3271048850310242003100002010195120100531
214184885025028104910002201015800120100531
95320488503302620031000120101550120100531
196174885025027113730000201010200120100531
291934885031023103330000201035400120100531
토지소재지년도개별공시지가기준(월)공시일자
9952488502502410109013320104950120100531
7946748850330221071700012010446120100531
7942348850330221068900002010565120100531
657414885032030103270003201082120100531
3036348850310232001600002010225120100531
4109148850310281082900002010200120100531
83156488503302310341000620107450120100531
54350488503202411347000020106850120100531
11131488502502510041004820101710120100531
15366488502502611254000020102510120100531