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 (95.7%)Imbalance
공시일자 is highly imbalanced (95.7%)Imbalance
토지소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:34:51.953699
Analysis finished2023-12-10 23:34:53.126562
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

토지소재지
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
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
2023-12-11T08:34:53.205250image/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
Range9.0010089 × 1012
Interquartile range (IQR)1.0129974 × 1012

Descriptive statistics

Standard deviation3.0842708 × 1012
Coefficient of variation (CV)6.3137186 × 10-7
Kurtosis-0.59146287
Mean4.8850304 × 1018
Median Absolute Deviation (MAD)9.990081 × 1011
Skewness-1.0396773
Sum3.3260648 × 1018
Variance9.5127261 × 1024
MonotonicityNot monotonic
2023-12-11T08:34:53.351617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4885025027100020009 1
 
< 0.1%
4885031028109640000 1
 
< 0.1%
4885031026106180000 1
 
< 0.1%
4885031022106650000 1
 
< 0.1%
4885025028105150003 1
 
< 0.1%
4885033024110770000 1
 
< 0.1%
4885032026109550001 1
 
< 0.1%
4885031025102370000 1
 
< 0.1%
4885033022119040000 1
 
< 0.1%
4885032031102570024 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
4885025021100110003 1
< 0.1%
4885025021100320000 1
< 0.1%
4885025021100330000 1
< 0.1%
4885025021100380001 1
< 0.1%
4885025021100450005 1
< 0.1%
4885025021100460000 1
< 0.1%
4885025021100550000 1
< 0.1%
4885025021100670003 1
< 0.1%
4885025021100860000 1
< 0.1%
4885025021100880000 1
< 0.1%
ValueCountFrequency (%)
4885034022108970000 1
< 0.1%
4885034022108930000 1
< 0.1%
4885034022108850001 1
< 0.1%
4885034022108840000 1
< 0.1%
4885034022108830000 1
< 0.1%
4885034022108820000 1
< 0.1%
4885034022108720005 1
< 0.1%
4885034022108670000 1
< 0.1%
4885034022108660000 1
< 0.1%
4885034022108440002 1
< 0.1%

년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2011
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2011
2nd row2011
3rd row2011
4th row2011
5th row2011

Common Values

ValueCountFrequency (%)
2011 10000
100.0%

Length

2023-12-11T08:34:53.479157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:34:53.571517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2011 10000
100.0%

개별공시지가
Real number (ℝ)

Distinct1969
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19740.244
Minimum39
Maximum1430000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:34:53.678561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile198.95
Q11150
median3800
Q310800
95-th percentile67900
Maximum1430000
Range1429961
Interquartile range (IQR)9650

Descriptive statistics

Standard deviation76160.817
Coefficient of variation (CV)3.8581497
Kurtosis107.9544
Mean19740.244
Median Absolute Deviation (MAD)3286
Skewness9.2845124
Sum1.9740244 × 108
Variance5.80047 × 109
MonotonicityNot monotonic
2023-12-11T08:34:53.874931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3630 62
 
0.6%
5610 55
 
0.5%
2500 51
 
0.5%
3030 50
 
0.5%
1610 46
 
0.5%
1350 45
 
0.4%
4620 43
 
0.4%
4950 42
 
0.4%
5940 41
 
0.4%
1250 38
 
0.4%
Other values (1959) 9527
95.3%
ValueCountFrequency (%)
39 7
0.1%
42 1
 
< 0.1%
46 2
 
< 0.1%
49 1
 
< 0.1%
52 1
 
< 0.1%
59 3
 
< 0.1%
62 8
0.1%
66 8
0.1%
69 1
 
< 0.1%
79 3
 
< 0.1%
ValueCountFrequency (%)
1430000 1
 
< 0.1%
1340000 1
 
< 0.1%
1320000 1
 
< 0.1%
1280000 1
 
< 0.1%
1180000 1
 
< 0.1%
1110000 3
< 0.1%
1100000 2
< 0.1%
970000 2
< 0.1%
928000 1
 
< 0.1%
903000 1
 
< 0.1%

기준(월)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9953 
7
 
47

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 9953
99.5%
7 47
 
0.5%

Length

2023-12-11T08:34:54.019375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:34:54.159957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9953
99.5%
7 47
 
0.5%

공시일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
20110531
9953 
20111230
 
47

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20110531
2nd row20110531
3rd row20110531
4th row20110531
5th row20110531

Common Values

ValueCountFrequency (%)
20110531 9953
99.5%
20111230 47
 
0.5%

Length

2023-12-11T08:34:54.265696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:34:54.358934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20110531 9953
99.5%
20111230 47
 
0.5%

Interactions

2023-12-11T08:34:52.422687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:34:52.213242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:34:52.854041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:34:52.305057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:34:54.435412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
토지소재지개별공시지가기준(월)공시일자
토지소재지1.0000.2850.0330.033
개별공시지가0.2851.0000.0000.000
기준(월)0.0330.0001.0001.000
공시일자0.0330.0001.0001.000
2023-12-11T08:34:54.547140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준(월)공시일자
기준(월)1.0000.989
공시일자0.9891.000
2023-12-11T08:34:54.642151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
토지소재지개별공시지가기준(월)공시일자
토지소재지1.000-0.3470.0410.041
개별공시지가-0.3471.0000.0000.000
기준(월)0.0410.0001.0000.989
공시일자0.0410.0000.9891.000

Missing values

2023-12-11T08:34:52.974308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:34:53.075973image/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
168334885025027100020009201132500120110531
727034885032033105080011201114200120110531
542134885032024110660000201135100120110531
2388848850250282011800002011272120110531
63696488503202910244000220111710120110531
8171248850330221194300002011334120110531
7961748850330221065200002011704120110531
173784885025027102290001201114000120110531
323274885031024106110000201127300120110531
6588948850320301027500092011445120110531
토지소재지년도개별공시지가기준(월)공시일자
72729488503203310517000120113630120110531
8259848850330222025500042011168120110531
170834885025027101040013201132200120110531
49508488503202210518000220118580120110531
13144488502502510654000020111510120110531
31162488503102410101000320113060120110531
188214885025027109010037201125000120110531
4120448850310281068800002011671120110531
52902488503202410387000020112550120110531
8824648850330241151500032011528120110531