Overview

Dataset statistics

Number of variables12
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows12
Duplicate rows (%)0.1%
Total size in memory1.1 MiB
Average record size in memory111.0 B

Variable types

Categorical3
Numeric6
Text1
DateTime2

Dataset

Description2022년 4월 15일 기준, 경상남도 산청군 일반건축물시가표준액 현황(시군명, 자치단체코드, 본번, 부번, 동, 호, 물건지 주소, 시가표준액, 연면적, 결정(조사)일자) 자료 입니다.
Author경상남도 산청군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15080492

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
결정(조사)일자 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 12 (0.1%) duplicate rowsDuplicates
시가표준액 is highly overall correlated with 연면적High correlation
연면적 is highly overall correlated with 시가표준액High correlation
시가표준액 is highly skewed (γ1 = 57.4439975)Skewed
연면적 is highly skewed (γ1 = 46.33760503)Skewed
부번 has 3821 (38.2%) zerosZeros
동 has 393 (3.9%) zerosZeros

Reproduction

Analysis started2023-12-11 00:18:24.053264
Analysis finished2023-12-11 00:18:29.828073
Duration5.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 10000
100.0%

Length

2023-12-11T09:18:29.886515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:18:29.975001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 10000
100.0%

시군구명
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
산청군 10000
100.0%

Length

2023-12-11T09:18:30.059778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:18:30.144007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산청군 10000
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
48860
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row48860
2nd row48860
3rd row48860
4th row48860
5th row48860

Common Values

ValueCountFrequency (%)
48860 10000
100.0%

Length

2023-12-11T09:18:30.248812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:18:30.354409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
48860 10000
100.0%

본번
Real number (ℝ)

Distinct1201
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean482.4712
Minimum1
Maximum1713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T09:18:30.481694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile31
Q1196
median429
Q3715
95-th percentile1118
Maximum1713
Range1712
Interquartile range (IQR)519

Descriptive statistics

Standard deviation340.53352
Coefficient of variation (CV)0.70581108
Kurtosis-0.2778188
Mean482.4712
Median Absolute Deviation (MAD)251
Skewness0.62918231
Sum4824712
Variance115963.08
MonotonicityNot monotonic
2023-12-11T09:18:30.662001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1300 70
 
0.7%
924 50
 
0.5%
680 46
 
0.5%
900 45
 
0.4%
596 43
 
0.4%
251 41
 
0.4%
6 40
 
0.4%
344 38
 
0.4%
1118 38
 
0.4%
73 36
 
0.4%
Other values (1191) 9553
95.5%
ValueCountFrequency (%)
1 34
0.3%
2 18
0.2%
3 10
 
0.1%
4 12
 
0.1%
5 20
0.2%
6 40
0.4%
7 7
 
0.1%
8 31
0.3%
9 13
 
0.1%
10 15
 
0.1%
ValueCountFrequency (%)
1713 1
 
< 0.1%
1706 1
 
< 0.1%
1686 2
< 0.1%
1675 1
 
< 0.1%
1673 2
< 0.1%
1672 2
< 0.1%
1659 1
 
< 0.1%
1567 4
< 0.1%
1538 1
 
< 0.1%
1516 1
 
< 0.1%

부번
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8137
Minimum0
Maximum426
Zeros3821
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T09:18:30.836829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile15
Maximum426
Range426
Interquartile range (IQR)4

Descriptive statistics

Standard deviation11.047271
Coefficient of variation (CV)2.8967331
Kurtosis308.48042
Mean3.8137
Median Absolute Deviation (MAD)1
Skewness12.882685
Sum38137
Variance122.0422
MonotonicityNot monotonic
2023-12-11T09:18:30.972536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3821
38.2%
1 1988
19.9%
2 972
 
9.7%
3 690
 
6.9%
4 467
 
4.7%
5 313
 
3.1%
6 260
 
2.6%
7 198
 
2.0%
8 174
 
1.7%
9 144
 
1.4%
Other values (77) 973
 
9.7%
ValueCountFrequency (%)
0 3821
38.2%
1 1988
19.9%
2 972
 
9.7%
3 690
 
6.9%
4 467
 
4.7%
5 313
 
3.1%
6 260
 
2.6%
7 198
 
2.0%
8 174
 
1.7%
9 144
 
1.4%
ValueCountFrequency (%)
426 1
 
< 0.1%
281 1
 
< 0.1%
163 1
 
< 0.1%
160 1
 
< 0.1%
156 1
 
< 0.1%
154 2
< 0.1%
145 1
 
< 0.1%
140 1
 
< 0.1%
134 3
< 0.1%
132 3
< 0.1%

동
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4794
Minimum0
Maximum111
Zeros393
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T09:18:31.104887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum111
Range111
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.3582422
Coefficient of variation (CV)2.9459525
Kurtosis363.58059
Mean1.4794
Median Absolute Deviation (MAD)0
Skewness17.681117
Sum14794
Variance18.994275
MonotonicityNot monotonic
2023-12-11T09:18:31.254987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 8215
82.2%
2 939
 
9.4%
0 393
 
3.9%
3 173
 
1.7%
4 72
 
0.7%
5 42
 
0.4%
6 35
 
0.4%
7 22
 
0.2%
8 16
 
0.2%
9 16
 
0.2%
Other values (41) 77
 
0.8%
ValueCountFrequency (%)
0 393
 
3.9%
1 8215
82.2%
2 939
 
9.4%
3 173
 
1.7%
4 72
 
0.7%
5 42
 
0.4%
6 35
 
0.4%
7 22
 
0.2%
8 16
 
0.2%
9 16
 
0.2%
ValueCountFrequency (%)
111 1
 
< 0.1%
106 1
 
< 0.1%
104 1
 
< 0.1%
103 2
 
< 0.1%
101 6
0.1%
64 1
 
< 0.1%
59 1
 
< 0.1%
58 1
 
< 0.1%
57 1
 
< 0.1%
55 1
 
< 0.1%

호
Real number (ℝ)

Distinct100
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.7093
Minimum0
Maximum8501
Zeros93
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T09:18:31.422130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median3
Q3101
95-th percentile201
Maximum8501
Range8501
Interquartile range (IQR)100

Descriptive statistics

Standard deviation641.13174
Coefficient of variation (CV)6.1229685
Kurtosis148.71649
Mean104.7093
Median Absolute Deviation (MAD)2
Skewness12.172321
Sum1047093
Variance411049.91
MonotonicityNot monotonic
2023-12-11T09:18:31.556285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3108
31.1%
101 2194
21.9%
2 1262
12.6%
102 627
 
6.3%
3 607
 
6.1%
201 452
 
4.5%
4 309
 
3.1%
103 241
 
2.4%
5 156
 
1.6%
301 104
 
1.0%
Other values (90) 940
 
9.4%
ValueCountFrequency (%)
0 93
 
0.9%
1 3108
31.1%
2 1262
12.6%
3 607
 
6.1%
4 309
 
3.1%
5 156
 
1.6%
6 103
 
1.0%
7 76
 
0.8%
8 45
 
0.4%
9 33
 
0.3%
ValueCountFrequency (%)
8501 1
 
< 0.1%
8206 1
 
< 0.1%
8204 1
 
< 0.1%
8203 1
 
< 0.1%
8202 1
 
< 0.1%
8106 1
 
< 0.1%
8104 1
 
< 0.1%
8103 2
 
< 0.1%
8102 4
 
< 0.1%
8101 48
0.5%

물건지
Text

Distinct9590
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T09:18:31.964000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33
Mean length27.4555
Min length19

Characters and Unicode

Total characters274555
Distinct characters183
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9309 ?
Unique (%)93.1%

Sample

1st row경상남도 산청군 산청읍 옥산리 465-3 1동 1호
2nd row경상남도 산청군 시천면 원리 676-6 1동 3호
3rd row[ 신차로2116번길 8 ] 0000동 0101호
4th row경상남도 산청군 산청읍 모고리 981 2동 1호
5th row경상남도 산청군 금서면 매촌리 1201 1동 101호
ValueCountFrequency (%)
경상남도 7307
 
10.9%
산청군 7307
 
10.9%
1동 5805
 
8.6%
5386
 
8.0%
0001동 2410
 
3.6%
1호 2283
 
3.4%
101호 1417
 
2.1%
단성면 1392
 
2.1%
시천면 1116
 
1.7%
산청읍 1030
 
1.5%
Other values (4450) 31706
47.2%
2023-12-11T09:18:32.547546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57159
20.8%
1 25128
 
9.2%
0 20234
 
7.4%
호 10075
 
3.7%
동 9915
 
3.6%
산 9671
 
3.5%
청 8706
 
3.2%
2 8593
 
3.1%
남 7705
 
2.8%
경 7656
 
2.8%
Other values (173) 109713
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126847
46.2%
Decimal Number 79746
29.0%
Space Separator 57159
20.8%
Dash Punctuation 5417
 
2.0%
Close Punctuation 2693
 
1.0%
Open Punctuation 2693
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 10075
 
7.9%
동 9915
 
7.8%
산 9671
 
7.6%
청 8706
 
6.9%
남 7705
 
6.1%
경 7656
 
6.0%
리 7621
 
6.0%
도 7450
 
5.9%
상 7423
 
5.9%
군 7307
 
5.8%
Other values (159) 43318
34.1%
Decimal Number
ValueCountFrequency (%)
1 25128
31.5%
0 20234
25.4%
2 8593
 
10.8%
3 5425
 
6.8%
4 4075
 
5.1%
5 3801
 
4.8%
6 3736
 
4.7%
7 3033
 
3.8%
8 2913
 
3.7%
9 2808
 
3.5%
Space Separator
ValueCountFrequency (%)
57159
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5417
100.0%
Close Punctuation
ValueCountFrequency (%)
] 2693
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 2693
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 147708
53.8%
Hangul 126847
46.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 10075
 
7.9%
동 9915
 
7.8%
산 9671
 
7.6%
청 8706
 
6.9%
남 7705
 
6.1%
경 7656
 
6.0%
리 7621
 
6.0%
도 7450
 
5.9%
상 7423
 
5.9%
군 7307
 
5.8%
Other values (159) 43318
34.1%
Common
ValueCountFrequency (%)
57159
38.7%
1 25128
17.0%
0 20234
 
13.7%
2 8593
 
5.8%
3 5425
 
3.7%
- 5417
 
3.7%
4 4075
 
2.8%
5 3801
 
2.6%
6 3736
 
2.5%
7 3033
 
2.1%
Other values (4) 11107
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 147708
53.8%
Hangul 126847
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57159
38.7%
1 25128
17.0%
0 20234
 
13.7%
2 8593
 
5.8%
3 5425
 
3.7%
- 5417
 
3.7%
4 4075
 
2.8%
5 3801
 
2.6%
6 3736
 
2.5%
7 3033
 
2.1%
Other values (4) 11107
 
7.5%
Hangul
ValueCountFrequency (%)
호 10075
 
7.9%
동 9915
 
7.8%
산 9671
 
7.6%
청 8706
 
6.9%
남 7705
 
6.1%
경 7656
 
6.0%
리 7621
 
6.0%
도 7450
 
5.9%
상 7423
 
5.9%
군 7307
 
5.8%
Other values (159) 43318
34.1%

시가표준액
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct8087
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33920815
Minimum18000
Maximum1.4040133 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T09:18:32.699664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18000
5-th percentile332640
Q11583850
median6657600
Q327987000
95-th percentile1.293828 × 108
Maximum1.4040133 × 1010
Range1.4040115 × 1010
Interquartile range (IQR)26403150

Descriptive statistics

Standard deviation1.708432 × 108
Coefficient of variation (CV)5.0365298
Kurtosis4543.7326
Mean33920815
Median Absolute Deviation (MAD)6029110
Skewness57.443998
Sum3.3920815 × 1011
Variance2.9187398 × 1016
MonotonicityNot monotonic
2023-12-11T09:18:32.888877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1872000 27
 
0.3%
1152000 17
 
0.2%
2059200 17
 
0.2%
1000000 16
 
0.2%
648000 15
 
0.1%
15731170 15
 
0.1%
633600 15
 
0.1%
1440000 14
 
0.1%
792000 14
 
0.1%
1828800 13
 
0.1%
Other values (8077) 9837
98.4%
ValueCountFrequency (%)
18000 1
< 0.1%
25300 1
< 0.1%
27720 1
< 0.1%
29640 1
< 0.1%
29700 1
< 0.1%
31440 1
< 0.1%
36400 1
< 0.1%
38400 1
< 0.1%
40000 1
< 0.1%
41600 1
< 0.1%
ValueCountFrequency (%)
14040132970 1
< 0.1%
2955717720 1
< 0.1%
2420163590 1
< 0.1%
2372901100 1
< 0.1%
2043492250 1
< 0.1%
2024549670 1
< 0.1%
1793947100 1
< 0.1%
1753331720 1
< 0.1%
1492411210 1
< 0.1%
1374428310 1
< 0.1%

연면적
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct4883
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.24295
Minimum0.98
Maximum31515.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T09:18:33.089196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.98
5-th percentile10.2595
Q132.6775
median72.5
Q3148.55
95-th percentile420.81
Maximum31515.45
Range31514.47
Interquartile range (IQR)115.8725

Descriptive statistics

Standard deviation417.73843
Coefficient of variation (CV)2.9786768
Kurtosis3247.9397
Mean140.24295
Median Absolute Deviation (MAD)49.1
Skewness46.337605
Sum1402429.5
Variance174505.39
MonotonicityNot monotonic
2023-12-11T09:18:33.556370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.0 398
 
4.0%
10.0 101
 
1.0%
16.5 87
 
0.9%
40.0 56
 
0.6%
66.0 50
 
0.5%
50.0 50
 
0.5%
60.0 49
 
0.5%
27.0 47
 
0.5%
15.0 40
 
0.4%
36.0 40
 
0.4%
Other values (4873) 9082
90.8%
ValueCountFrequency (%)
0.98 1
 
< 0.1%
1.0 2
< 0.1%
1.1 2
< 0.1%
1.44 2
< 0.1%
1.6 1
 
< 0.1%
1.68 1
 
< 0.1%
1.92 1
 
< 0.1%
1.96 2
< 0.1%
1.98 1
 
< 0.1%
2.0 3
< 0.1%
ValueCountFrequency (%)
31515.45 1
< 0.1%
10371.35 1
< 0.1%
7464.0 1
< 0.1%
7032.4 1
< 0.1%
6414.98 1
< 0.1%
5743.37 1
< 0.1%
4719.23 1
< 0.1%
3956.4 1
< 0.1%
3416.38 1
< 0.1%
3280.65 1
< 0.1%

결정(조사)일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-06-01 00:00:00
Maximum2020-06-01 00:00:00
2023-12-11T09:18:33.671510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:33.768126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-04-15 00:00:00
Maximum2022-04-15 00:00:00
2023-12-11T09:18:33.891773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:33.999465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T09:18:28.862276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:25.671621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:26.251767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:26.840930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:27.681651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:28.243423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:28.957695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:25.786155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:26.343080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:27.191793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:27.774900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:28.344228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:29.055552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:25.884512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:26.423262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:27.289366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:27.881763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:28.430722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:29.154603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:25.976822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:26.500717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:27.374612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:27.964399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:28.543661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:29.269887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:26.058399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:26.584071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:27.467975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:28.042145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:28.646028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:29.385160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:26.162722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:26.712862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:27.583606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:28.135178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:18:28.762583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:18:34.071398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
본번부번동호시가표준액연면적
본번1.0000.2080.0470.0620.0860.151
부번0.2081.0000.0000.0000.0000.000
동0.0470.0001.0000.0000.0000.000
호0.0620.0000.0001.0000.0000.000
시가표준액0.0860.0000.0000.0001.0000.758
연면적0.1510.0000.0000.0000.7581.000
2023-12-11T09:18:34.200535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
본번부번동호시가표준액연면적
본번1.000-0.007-0.0410.0510.040-0.015
부번-0.0071.000-0.0240.0930.1690.026
동-0.041-0.0241.0000.0150.040-0.028
호0.0510.0930.0151.0000.191-0.075
시가표준액0.0400.1690.0400.1911.0000.590
연면적-0.0150.026-0.028-0.0750.5901.000

Missing values

2023-12-11T09:18:29.552978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:18:29.751632image/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

시도명시군구명자치단체코드본번부번동호물건지시가표준액연면적결정(조사)일자데이터기준일자
12009경상남도산청군48860465311경상남도 산청군 산청읍 옥산리 465-3 1동 1호224523100372.222020-06-012022-04-15
14386경상남도산청군48860676613경상남도 산청군 시천면 원리 676-6 1동 3호45180360172.512020-06-012022-04-15
12361경상남도산청군4886063140101[ 신차로2116번길 8 ] 0000동 0101호1900800172.82020-06-012022-04-15
9654경상남도산청군48860981021경상남도 산청군 산청읍 모고리 981 2동 1호1930000193.02020-06-012022-04-15
1398경상남도산청군48860120101101경상남도 산청군 금서면 매촌리 1201 1동 101호131040018.02020-06-012022-04-15
14580경상남도산청군4886092211101경상남도 산청군 시천면 사리 922-1 1동 101호553231580811.192020-06-012022-04-15
1466경상남도산청군48860658121경상남도 산청군 삼장면 홍계리 658-1 2동 1호1260009.02020-06-012022-04-15
3856경상남도산청군48860135011경상남도 산청군 신안면 갈전리 135 1동 1호2567736001877.02020-06-012022-04-15
11858경상남도산청군4886053011경상남도 산청군 산청읍 지리 53 1동 1호3465600346.562020-06-012022-04-15
11459경상남도산청군4886083501101경상남도 산청군 차황면 양곡리 835 1동 101호162000018.02020-06-012022-04-15
시도명시군구명자치단체코드본번부번동호물건지시가표준액연면적결정(조사)일자데이터기준일자
12461경상남도산청군48860797012[ 중앙로 97 ] 0001동 0002호8711428401101.042020-06-012022-04-15
15270경상남도산청군48860340011[ 남대길 18-10 ] 0001동 0001호2693820064.62020-06-012022-04-15
4272경상남도산청군48860331101101경상남도 산청군 단성면 입석리 331-10 1동 101호187200018.02020-06-012022-04-15
2080경상남도산청군48860800014경상남도 산청군 삼장면 덕교리 800 1동 4호1480500050.02020-06-012022-04-15
4450경상남도산청군4886068011[ 중촌갈전로751번길 7 ] 0001동 0001호423000018.02020-06-012022-04-15
8231경상남도산청군48860694111경상남도 산청군 신등면 단계리 694-1 1동 1호15957200114.82020-06-012022-04-15
16272경상남도산청군48860153228101경상남도 산청군 시천면 원리 153-2 2동 8101호2271780037.82020-06-012022-04-15
1092경상남도산청군48860133511경상남도 산청군 삼장면 덕교리 133-5 1동 1호772800193.22020-06-012022-04-15
1566경상남도산청군4886032001101경상남도 산청군 금서면 방곡리 320 1동 101호146880018.02020-06-012022-04-15
14499경상남도산청군488607000101[ 지리산대로 1304-30 ] 0000동 0101호220500049.02020-06-012022-04-15

Duplicate rows

Most frequently occurring

시도명시군구명자치단체코드본번부번동호물건지시가표준액연면적결정(조사)일자데이터기준일자# duplicates
3경상남도산청군4886013071101경상남도 산청군 금서면 신아리 130-7 1동 101호75627600121.982020-06-012022-04-154
0경상남도산청군4886039200경상남도 산청군 차황면 장박리 39-26512400162.02020-06-012022-04-153
8경상남도산청군48860548011[ 오동로565번길 24 ] 0001동 0001호1568000392.02020-06-012022-04-153
1경상남도산청군4886067711[ 목화로 892 ] 0001동 0001호165000000300.02020-06-012022-04-152
2경상남도산청군4886090100경상남도 산청군 차황면 우사리 90-114952000311.52020-06-012022-04-152
4경상남도산청군48860141011경상남도 산청군 단성면 성내리 141 1동 1호32728500467.552020-06-012022-04-152
5경상남도산청군48860249111경상남도 산청군 삼장면 대포리 249-1 1동 1호894240082.82020-06-012022-04-152
6경상남도산청군48860335211경상남도 산청군 삼장면 대하리 335-2 1동 1호438900077.02020-06-012022-04-152
7경상남도산청군48860397111[ 사직단로85번길 4 ] 0001동 0001호451200024.02020-06-012022-04-152
9경상남도산청군48860647011경상남도 산청군 시천면 원리 647 1동 1호3346503.452020-06-012022-04-152