Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory898.4 KiB
Average record size in memory92.0 B

Variable types

Text2
Categorical4
Numeric4

Dataset

Description강원도 영월군 공유지 현황(재산명, 소재지, 지목, 면적)
Author강원도 영월군
URLhttps://www.data.go.kr/data/15029622/fileData.do

Alerts

면적 is highly overall correlated with 실면적High correlation
실면적 is highly overall correlated with 면적High correlation
토지지목코드 is highly overall correlated with 실지목코드High correlation
실지목코드 is highly overall correlated with 토지지목코드High correlation
재산용도코드 is highly imbalanced (51.1%)Imbalance
산코드 is highly imbalanced (65.6%)Imbalance
호 has 1637 (16.4%) zerosZeros

Reproduction

Analysis started2023-12-12 17:31:16.853135
Analysis finished2023-12-12 17:31:20.097320
Duration3.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

재산명
Text

Distinct2959
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T02:31:20.311660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length45
Mean length10.6352
Min length2

Characters and Unicode

Total characters106352
Distinct characters355
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2532 ?
Unique (%)25.3%

Sample

1st row소로1-130
2nd row토지
3rd row군도4호선
4th row군도10호선
5th row강원도 영월군 주천면 주천리 일반번지 1232-16번지
ValueCountFrequency (%)
강원도 2041
 
9.6%
영월군 2040
 
9.6%
일반번지 1765
 
8.3%
잡종재산 707
 
3.3%
영월읍 668
 
3.1%
남면 380
 
1.8%
임야 363
 
1.7%
토지 328
 
1.5%
군도6호선 304
 
1.4%
군도1호선 266
 
1.3%
Other values (3006) 12393
58.3%
2023-12-13T02:31:21.017719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12741
 
12.0%
지 5381
 
5.1%
1 4867
 
4.6%
도 4359
 
4.1%
번 3978
 
3.7%
군 3644
 
3.4%
영 3293
 
3.1%
월 3117
 
2.9%
2 2751
 
2.6%
0 2726
 
2.6%
Other values (345) 59495
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71626
67.3%
Decimal Number 18734
 
17.6%
Space Separator 12741
 
12.0%
Dash Punctuation 2698
 
2.5%
Open Punctuation 269
 
0.3%
Close Punctuation 268
 
0.3%
Other Punctuation 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5381
 
7.5%
도 4359
 
6.1%
번 3978
 
5.6%
군 3644
 
5.1%
영 3293
 
4.6%
월 3117
 
4.4%
리 2676
 
3.7%
면 2584
 
3.6%
강 2232
 
3.1%
원 2210
 
3.1%
Other values (328) 38152
53.3%
Decimal Number
ValueCountFrequency (%)
1 4867
26.0%
2 2751
14.7%
0 2726
14.6%
3 1800
 
9.6%
4 1464
 
7.8%
5 1220
 
6.5%
6 1220
 
6.5%
8 962
 
5.1%
9 942
 
5.0%
7 782
 
4.2%
Other Punctuation
ValueCountFrequency (%)
* 11
68.8%
/ 3
 
18.8%
· 2
 
12.5%
Space Separator
ValueCountFrequency (%)
12741
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2698
100.0%
Open Punctuation
ValueCountFrequency (%)
( 269
100.0%
Close Punctuation
ValueCountFrequency (%)
) 268
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71626
67.3%
Common 34726
32.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5381
 
7.5%
도 4359
 
6.1%
번 3978
 
5.6%
군 3644
 
5.1%
영 3293
 
4.6%
월 3117
 
4.4%
리 2676
 
3.7%
면 2584
 
3.6%
강 2232
 
3.1%
원 2210
 
3.1%
Other values (328) 38152
53.3%
Common
ValueCountFrequency (%)
12741
36.7%
1 4867
 
14.0%
2 2751
 
7.9%
0 2726
 
7.9%
- 2698
 
7.8%
3 1800
 
5.2%
4 1464
 
4.2%
5 1220
 
3.5%
6 1220
 
3.5%
8 962
 
2.8%
Other values (7) 2277
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71626
67.3%
ASCII 34724
32.7%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12741
36.7%
1 4867
 
14.0%
2 2751
 
7.9%
0 2726
 
7.9%
- 2698
 
7.8%
3 1800
 
5.2%
4 1464
 
4.2%
5 1220
 
3.5%
6 1220
 
3.5%
8 962
 
2.8%
Other values (6) 2275
 
6.6%
Hangul
ValueCountFrequency (%)
지 5381
 
7.5%
도 4359
 
6.1%
번 3978
 
5.6%
군 3644
 
5.1%
영 3293
 
4.6%
월 3117
 
4.4%
리 2676
 
3.7%
면 2584
 
3.6%
강 2232
 
3.1%
원 2210
 
3.1%
Other values (328) 38152
53.3%
None
ValueCountFrequency (%)
· 2
100.0%

재산용도코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
01-행정재산
8937 
03-일반재산
1063 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01-행정재산
2nd row01-행정재산
3rd row01-행정재산
4th row01-행정재산
5th row01-행정재산

Common Values

ValueCountFrequency (%)
01-행정재산 8937
89.4%
03-일반재산 1063
 
10.6%

Length

2023-12-13T02:31:21.154858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:31:21.257768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01-행정재산 8937
89.4%
03-일반재산 1063
 
10.6%

소재지
Text

Distinct9999
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T02:31:21.458935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length45
Mean length24.4337
Min length20

Characters and Unicode

Total characters244337
Distinct characters202
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9998 ?
Unique (%)> 99.9%

Sample

1st row강원도 영월군 영월읍 영흥리 925-2번지
2nd row강원도 영월군 영월읍 덕포리 629-7번지
3rd row강원도 영월군 한반도면 후탄리 927-8번지
4th row강원도 영월군 상동읍 덕구리 74-13번지
5th row강원도 영월군 주천면 주천리 1232-16번지
ValueCountFrequency (%)
강원도 9988
19.3%
영월군 9982
19.3%
영월읍 2716
 
5.3%
남면 1432
 
2.8%
주천면 1345
 
2.6%
산 1249
 
2.4%
한반도면 1084
 
2.1%
북면 962
 
1.9%
김삿갓면 809
 
1.6%
영흥리 672
 
1.3%
Other values (7510) 21379
41.4%
2023-12-13T02:31:21.906062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51879
21.2%
영 13378
 
5.5%
월 12869
 
5.3%
도 12063
 
4.9%
원 11001
 
4.5%
지 10039
 
4.1%
리 10015
 
4.1%
번 10001
 
4.1%
강 9990
 
4.1%
군 9987
 
4.1%
Other values (192) 93115
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 142813
58.4%
Space Separator 51879
 
21.2%
Decimal Number 40834
 
16.7%
Dash Punctuation 8760
 
3.6%
Open Punctuation 16
 
< 0.1%
Close Punctuation 16
 
< 0.1%
Other Punctuation 12
 
< 0.1%
Other Symbol 4
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 13378
 
9.4%
월 12869
 
9.0%
도 12063
 
8.4%
원 11001
 
7.7%
지 10039
 
7.0%
리 10015
 
7.0%
번 10001
 
7.0%
강 9990
 
7.0%
군 9987
 
7.0%
면 6693
 
4.7%
Other values (173) 36777
25.8%
Decimal Number
ValueCountFrequency (%)
1 8480
20.8%
2 5253
12.9%
3 4024
9.9%
4 3880
9.5%
5 3701
9.1%
6 3320
 
8.1%
0 3252
 
8.0%
7 3050
 
7.5%
9 2948
 
7.2%
8 2926
 
7.2%
Other Punctuation
ValueCountFrequency (%)
/ 9
75.0%
. 2
 
16.7%
* 1
 
8.3%
Space Separator
ValueCountFrequency (%)
51879
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8760
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 142813
58.4%
Common 101524
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 13378
 
9.4%
월 12869
 
9.0%
도 12063
 
8.4%
원 11001
 
7.7%
지 10039
 
7.0%
리 10015
 
7.0%
번 10001
 
7.0%
강 9990
 
7.0%
군 9987
 
7.0%
면 6693
 
4.7%
Other values (173) 36777
25.8%
Common
ValueCountFrequency (%)
51879
51.1%
- 8760
 
8.6%
1 8480
 
8.4%
2 5253
 
5.2%
3 4024
 
4.0%
4 3880
 
3.8%
5 3701
 
3.6%
6 3320
 
3.3%
0 3252
 
3.2%
7 3050
 
3.0%
Other values (9) 5925
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 142813
58.4%
ASCII 101520
41.5%
CJK Compat 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51879
51.1%
- 8760
 
8.6%
1 8480
 
8.4%
2 5253
 
5.2%
3 4024
 
4.0%
4 3880
 
3.8%
5 3701
 
3.6%
6 3320
 
3.3%
0 3252
 
3.2%
7 3050
 
3.0%
Other values (8) 5921
 
5.8%
Hangul
ValueCountFrequency (%)
영 13378
 
9.4%
월 12869
 
9.0%
도 12063
 
8.4%
원 11001
 
7.7%
지 10039
 
7.0%
리 10015
 
7.0%
번 10001
 
7.0%
강 9990
 
7.0%
군 9987
 
7.0%
면 6693
 
4.7%
Other values (173) 36777
25.8%
CJK Compat
ValueCountFrequency (%)
㎡ 4
100.0%

산코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1-일반지번
8749 
2-산지번
1249 
3-기타지번
 
2

Length

Max length6
Median length6
Mean length5.8751
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1-일반지번 8749
87.5%
2-산지번 1249
 
12.5%
3-기타지번 2
 
< 0.1%

Length

2023-12-13T02:31:22.024543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:31:22.120782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1-일반지번 8749
87.5%
2-산지번 1249
 
12.5%
3-기타지번 2
 
< 0.1%

번지
Real number (ℝ)

Distinct1503
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean554.2636
Minimum1
Maximum8601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:31:22.240794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34
Q1190
median505
Q3844
95-th percentile1331
Maximum8601
Range8600
Interquartile range (IQR)654

Descriptive statistics

Standard deviation421.13918
Coefficient of variation (CV)0.75981749
Kurtosis12.838813
Mean554.2636
Median Absolute Deviation (MAD)323
Skewness1.2929863
Sum5542636
Variance177358.21
MonotonicityNot monotonic
2023-12-13T02:31:22.366800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103 102
 
1.0%
1 80
 
0.8%
828 58
 
0.6%
81 54
 
0.5%
102 49
 
0.5%
101 42
 
0.4%
944 35
 
0.4%
1445 31
 
0.3%
1458 29
 
0.3%
99 28
 
0.3%
Other values (1493) 9492
94.9%
ValueCountFrequency (%)
1 80
0.8%
2 22
 
0.2%
3 26
 
0.3%
4 14
 
0.1%
5 13
 
0.1%
6 10
 
0.1%
7 17
 
0.2%
8 15
 
0.1%
9 14
 
0.1%
10 18
 
0.2%
ValueCountFrequency (%)
8601 1
< 0.1%
2075 2
< 0.1%
2072 1
< 0.1%
2070 1
< 0.1%
2069 1
< 0.1%
2052 1
< 0.1%
2019 1
< 0.1%
2000 1
< 0.1%
1999 1
< 0.1%
1998 1
< 0.1%

호
Real number (ℝ)

ZEROS 

Distinct202
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2321
Minimum0
Maximum908
Zeros1637
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:31:22.511111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q37
95-th percentile39
Maximum908
Range908
Interquartile range (IQR)6

Descriptive statistics

Standard deviation26.172029
Coefficient of variation (CV)2.8348945
Kurtosis192.38753
Mean9.2321
Median Absolute Deviation (MAD)2
Skewness9.8038574
Sum92321
Variance684.97513
MonotonicityNot monotonic
2023-12-13T02:31:22.655053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1948
19.5%
0 1637
16.4%
2 1446
14.5%
3 920
9.2%
4 654
 
6.5%
5 487
 
4.9%
6 367
 
3.7%
7 279
 
2.8%
8 256
 
2.6%
9 189
 
1.9%
Other values (192) 1817
18.2%
ValueCountFrequency (%)
0 1637
16.4%
1 1948
19.5%
2 1446
14.5%
3 920
9.2%
4 654
 
6.5%
5 487
 
4.9%
6 367
 
3.7%
7 279
 
2.8%
8 256
 
2.6%
9 189
 
1.9%
ValueCountFrequency (%)
908 1
< 0.1%
416 1
< 0.1%
388 1
< 0.1%
384 1
< 0.1%
381 1
< 0.1%
380 1
< 0.1%
375 1
< 0.1%
365 1
< 0.1%
363 1
< 0.1%
340 1
< 0.1%

토지지목코드
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
14-도로
2969 
01-전
2712 
02-답
1158 
08-대
1086 
05-임야
1040 
Other values (19)
1035 

Length

Max length7
Median length6
Mean length4.5482
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row14-도로
2nd row14-도로
3rd row02-답
4th row28-잡종지
5th row14-도로

Common Values

ValueCountFrequency (%)
14-도로 2969
29.7%
01-전 2712
27.1%
02-답 1158
 
11.6%
08-대 1086
 
10.9%
05-임야 1040
 
10.4%
16-제방 285
 
2.9%
18-구거 192
 
1.9%
17-하천 190
 
1.9%
28-잡종지 100
 
1.0%
09-공장용지 43
 
0.4%
Other values (14) 225
 
2.2%

Length

2023-12-13T02:31:22.802529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
14-도로 2969
29.7%
01-전 2712
27.1%
02-답 1158
 
11.6%
08-대 1086
 
10.9%
05-임야 1040
 
10.4%
16-제방 285
 
2.9%
18-구거 192
 
1.9%
17-하천 190
 
1.9%
28-잡종지 100
 
1.0%
09-공장용지 43
 
0.4%
Other values (14) 225
 
2.2%

실지목코드
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
14-도로
4718 
01-전
1394 
17-하천
841 
08-대
808 
05-임야
676 
Other values (20)
1563 

Length

Max length7
Median length5
Mean length4.7855
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row14-도로
2nd row14-도로
3rd row14-도로
4th row01-전
5th row14-도로

Common Values

ValueCountFrequency (%)
14-도로 4718
47.2%
01-전 1394
 
13.9%
17-하천 841
 
8.4%
08-대 808
 
8.1%
05-임야 676
 
6.8%
02-답 445
 
4.5%
16-제방 403
 
4.0%
18-구거 248
 
2.5%
28-잡종지 123
 
1.2%
27-묘지 64
 
0.6%
Other values (15) 280
 
2.8%

Length

2023-12-13T02:31:22.950777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
14-도로 4718
47.2%
01-전 1394
 
13.9%
17-하천 841
 
8.4%
08-대 808
 
8.1%
05-임야 676
 
6.8%
02-답 445
 
4.5%
16-제방 403
 
4.0%
18-구거 248
 
2.5%
28-잡종지 123
 
1.2%
27-묘지 64
 
0.6%
Other values (15) 280
 
2.8%

면적
Real number (ℝ)

HIGH CORRELATION 

Distinct2860
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4204.8808
Minimum1
Maximum1098843
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:31:23.119637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12
Q178
median262
Q3881
95-th percentile6566.25
Maximum1098843
Range1098842
Interquartile range (IQR)803

Descriptive statistics

Standard deviation33392.121
Coefficient of variation (CV)7.9412766
Kurtosis405.75592
Mean4204.8808
Median Absolute Deviation (MAD)227
Skewness17.686691
Sum42048808
Variance1.1150338 × 109
MonotonicityNot monotonic
2023-12-13T02:31:23.264523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.0 78
 
0.8%
10.0 65
 
0.7%
30.0 63
 
0.6%
13.0 61
 
0.6%
3.0 50
 
0.5%
11.0 48
 
0.5%
20.0 47
 
0.5%
40.0 47
 
0.5%
17.0 44
 
0.4%
23.0 44
 
0.4%
Other values (2850) 9453
94.5%
ValueCountFrequency (%)
1.0 22
 
0.2%
1.2 1
 
< 0.1%
2.0 32
0.3%
3.0 50
0.5%
4.0 39
0.4%
4.4 1
 
< 0.1%
5.0 38
0.4%
6.0 42
0.4%
7.0 78
0.8%
8.0 35
0.4%
ValueCountFrequency (%)
1098843.0 1
< 0.1%
1053025.0 1
< 0.1%
837377.0 1
< 0.1%
768783.0 1
< 0.1%
710504.0 1
< 0.1%
701455.0 1
< 0.1%
685884.0 1
< 0.1%
636861.0 1
< 0.1%
580959.0 1
< 0.1%
561124.0 1
< 0.1%

실면적
Real number (ℝ)

HIGH CORRELATION 

Distinct2937
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4186.7232
Minimum0.6
Maximum1098843
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T02:31:23.404469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile11
Q177
median258
Q3871.91
95-th percentile6545.7
Maximum1098843
Range1098842.4
Interquartile range (IQR)794.91

Descriptive statistics

Standard deviation33373.801
Coefficient of variation (CV)7.9713418
Kurtosis406.68021
Mean4186.7232
Median Absolute Deviation (MAD)225
Skewness17.713715
Sum41867232
Variance1.1138106 × 109
MonotonicityNot monotonic
2023-12-13T02:31:23.538979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.0 81
 
0.8%
10.0 66
 
0.7%
30.0 61
 
0.6%
13.0 60
 
0.6%
3.0 50
 
0.5%
20.0 49
 
0.5%
11.0 48
 
0.5%
40.0 46
 
0.5%
23.0 45
 
0.4%
24.0 43
 
0.4%
Other values (2927) 9451
94.5%
ValueCountFrequency (%)
0.6 1
 
< 0.1%
1.0 25
0.2%
1.2 1
 
< 0.1%
2.0 34
0.3%
2.58 1
 
< 0.1%
3.0 50
0.5%
3.84 1
 
< 0.1%
4.0 39
0.4%
4.28 1
 
< 0.1%
4.4 1
 
< 0.1%
ValueCountFrequency (%)
1098843.0 1
< 0.1%
1053025.0 1
< 0.1%
837377.0 1
< 0.1%
768783.0 1
< 0.1%
710504.0 1
< 0.1%
701455.0 1
< 0.1%
685884.0 1
< 0.1%
636861.0 1
< 0.1%
580959.0 1
< 0.1%
561124.0 1
< 0.1%

Interactions

2023-12-13T02:31:19.366860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:31:18.314957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:31:18.650177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:31:19.000593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:31:19.466999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:31:18.391813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:31:18.727165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:31:19.096601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:31:19.569553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:31:18.467248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:31:18.818172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:31:19.180095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:31:19.700119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:31:18.559239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:31:18.902316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:31:19.269129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:31:23.638069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재산용도코드산코드번지호토지지목코드실지목코드면적실면적
재산용도코드1.0000.0120.0440.0750.3340.4650.0000.004
산코드0.0121.0000.1580.0760.7440.6120.3550.353
번지0.0440.1581.0000.0000.2660.2370.0130.012
호0.0750.0760.0001.0000.2660.2900.0000.000
토지지목코드0.3340.7440.2660.2661.0000.9720.2100.209
실지목코드0.4650.6120.2370.2900.9721.0000.2740.272
면적0.0000.3550.0130.0000.2100.2741.0001.000
실면적0.0040.3530.0120.0000.2090.2721.0001.000
2023-12-13T02:31:23.752778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
산코드토지지목코드실지목코드재산용도코드
산코드1.0000.4790.3940.020
토지지목코드0.4791.0000.7140.264
실지목코드0.3940.7141.0000.403
재산용도코드0.0200.2640.4031.000
2023-12-13T02:31:23.870958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번지호면적실면적재산용도코드산코드토지지목코드실지목코드
번지1.0000.032-0.121-0.1210.0290.1490.1280.127
호0.0321.000-0.326-0.3270.0540.0310.1100.134
면적-0.121-0.3261.0000.9940.0000.1670.0810.108
실면적-0.121-0.3270.9941.0000.0040.1660.0800.107
재산용도코드0.0290.0540.0000.0041.0000.0200.2640.403
산코드0.1490.0310.1670.1660.0201.0000.4790.394
토지지목코드0.1280.1100.0810.0800.2640.4791.0000.714
실지목코드0.1270.1340.1080.1070.4030.3940.7141.000

Missing values

2023-12-13T02:31:19.841358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:31:20.010139image/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

재산명재산용도코드소재지산코드번지호토지지목코드실지목코드면적실면적
488소로1-13001-행정재산강원도 영월군 영월읍 영흥리 925-2번지1-일반지번925214-도로14-도로454.0454.0
2011토지01-행정재산강원도 영월군 영월읍 덕포리 629-7번지1-일반지번629714-도로14-도로225.0225.0
10585군도4호선01-행정재산강원도 영월군 한반도면 후탄리 927-8번지1-일반지번927802-답14-도로1042.01042.0
4428군도10호선01-행정재산강원도 영월군 상동읍 덕구리 74-13번지1-일반지번741328-잡종지01-전41.041.0
11204강원도 영월군 주천면 주천리 일반번지 1232-16번지01-행정재산강원도 영월군 주천면 주천리 1232-16번지1-일반지번12321614-도로14-도로130.0118.97
6159하동면10201-행정재산강원도 영월군 김삿갓면 외룡리 652-1번지1-일반지번652114-도로14-도로215.0215.0
5522옥동리마을안길01-행정재산강원도 영월군 김삿갓면 옥동리 282-5번지1-일반지번282508-대14-도로28.028.0
11312잡종재산01-행정재산강원도 영월군 주천면 주천리 1376-54번지1-일반지번13765401-전01-전481.0481.0
7058북면10101-행정재산강원도 영월군 북면 연덕리 597-4번지1-일반지번597414-도로14-도로184.0184.0
11692강원도 영월군 주천면 판운리 일반번지 1086-번지01-행정재산강원도 영월군 주천면 판운리 1086-0번지1-일반지번1086028-잡종지28-잡종지271.0271.0
재산명재산용도코드소재지산코드번지호토지지목코드실지목코드면적실면적
9528국도59호선01-행정재산강원도 영월군 남면 북쌍리 산 113-4번지2-산지번113414-도로14-도로1754.01754.0
9547임야01-행정재산강원도 영월군 남면 북쌍리 산 342-1번지2-산지번342114-도로14-도로686.0686.0
5200지방도88호선01-행정재산강원도 영월군 김삿갓면 진별리 766-6번지1-일반지번766601-전14-도로126.0126.0
11512판운리 56-1201-행정재산강원도 영월군 주천면 판운리 56-12번지1-일반지번561216-제방16-제방360.0360.0
4771강원도 영월군 중동면 직동리 일반번지 414-12번지01-행정재산강원도 영월군 중동면 직동리 414-12번지1-일반지번4141201-전14-도로515.0515.0
13111군도1호선01-행정재산강원도 영월군 무릉도원면 무릉리 산 95번지2-산지번95014-도로14-도로463.0463.0
37영월읍상수도01-행정재산강원도 영월군 영월읍 영흥리 74-5번지1-일반지번74514-도로14-도로424.0424.0
3695강원도 영월군 영월읍 흥월리 일반번지 1045-5번지01-행정재산강원도 영월군 영월읍 흥월리 1045-5번지1-일반지번1045514-도로14-도로103.0103.0
12662강원도 영월군 주천면 용석리 일반번지 904-23번지01-행정재산강원도 영월군 주천면 용석리 904-23번지1-일반지번9042301-전01-전302.0302.0
12824주천면10101-행정재산강원도 영월군 주천면 용석리 1411-13번지1-일반지번14111301-전14-도로7.07.0