Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells51776
Missing cells (%)51.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory888.7 KiB
Average record size in memory91.0 B

Variable types

Boolean5
Numeric3
Text2

Dataset

Description지역의 급경사지 위치 및 위험성 등 부분적 정보제공
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=3025

Alerts

비탈면구조-콘크리트옹벽 has constant value ""Constant
비탈면구조-석축옹벽 has constant value ""Constant
비탈면구조-암반안정공법 has constant value ""Constant
비탈면구조-토사면 has constant value ""Constant
비탈면구조-복합 has constant value ""Constant
비탈면구조-콘크리트옹벽 has 8971 (89.7%) missing valuesMissing
비탈면구조-석축옹벽 has 9142 (91.4%) missing valuesMissing
비탈면구조-암반안정공법 has 6738 (67.4%) missing valuesMissing
비탈면용도(보호목적)코드 has 1798 (18.0%) missing valuesMissing
비탈면구조-토사면 has 7137 (71.4%) missing valuesMissing
비탈면구조-복합 has 9661 (96.6%) missing valuesMissing
주소 has 8329 (83.3%) missing valuesMissing
일련번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:30:09.869145
Analysis finished2024-01-09 22:30:11.998480
Duration2.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

비탈면구조-콘크리트옹벽
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing8971
Missing (%)89.7%
Memory size97.7 KiB
True
1029 
(Missing)
8971 
ValueCountFrequency (%)
True 1029
 
10.3%
(Missing) 8971
89.7%
2024-01-10T07:30:12.034590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비탈면구조-석축옹벽
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing9142
Missing (%)91.4%
Memory size97.7 KiB
True
 
858
(Missing)
9142 
ValueCountFrequency (%)
True 858
 
8.6%
(Missing) 9142
91.4%
2024-01-10T07:30:12.111044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비탈면구조-암반안정공법
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing6738
Missing (%)67.4%
Memory size97.7 KiB
True
3262 
(Missing)
6738 
ValueCountFrequency (%)
True 3262
32.6%
(Missing) 6738
67.4%
2024-01-10T07:30:12.182807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비탈면용도(보호목적)코드
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)0.1%
Missing1798
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean2.1730066
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:30:12.252877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7236707
Coefficient of variation (CV)0.79321926
Kurtosis0.094596379
Mean2.1730066
Median Absolute Deviation (MAD)0
Skewness1.2291731
Sum17823
Variance2.9710406
MonotonicityNot monotonic
2024-01-10T07:30:12.583358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 4986
49.9%
3 1331
 
13.3%
6 866
 
8.7%
2 417
 
4.2%
5 406
 
4.1%
4 196
 
2.0%
(Missing) 1798
 
18.0%
ValueCountFrequency (%)
1 4986
49.9%
2 417
 
4.2%
3 1331
 
13.3%
4 196
 
2.0%
5 406
 
4.1%
6 866
 
8.7%
ValueCountFrequency (%)
6 866
 
8.7%
5 406
 
4.1%
4 196
 
2.0%
3 1331
 
13.3%
2 417
 
4.2%
1 4986
49.9%

비탈면구조-토사면
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing7137
Missing (%)71.4%
Memory size97.7 KiB
True
2863 
(Missing)
7137 
ValueCountFrequency (%)
True 2863
28.6%
(Missing) 7137
71.4%
2024-01-10T07:30:12.682140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비탈면구조-복합
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing9661
Missing (%)96.6%
Memory size97.7 KiB
True
 
339
(Missing)
9661 
ValueCountFrequency (%)
True 339
 
3.4%
(Missing) 9661
96.6%
2024-01-10T07:30:12.764441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

급경사지명
Text

Distinct9648
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T07:30:13.045040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length8.8371
Min length2

Characters and Unicode

Total characters88371
Distinct characters562
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9355 ?
Unique (%)93.5%

Sample

1st row옹벽(노량진동328)
2nd row하늘공원주차장 옆 옹벽(오른쪽)
3rd row의풍1
4th row오호2지구
5th row울산 동구 미포 N1지구
ValueCountFrequency (%)
n1지구 707
 
3.5%
n2지구 359
 
1.8%
강원 287
 
1.4%
경기 282
 
1.4%
경북 274
 
1.4%
충청 250
 
1.2%
경남 246
 
1.2%
n3지구 198
 
1.0%
충북 153
 
0.8%
전남 149
 
0.7%
Other values (9877) 17373
85.7%
2024-01-10T07:30:13.507778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10278
 
11.6%
지 5859
 
6.6%
구 5392
 
6.1%
1 4144
 
4.7%
2 2632
 
3.0%
- 2163
 
2.4%
0 1894
 
2.1%
N 1874
 
2.1%
동 1792
 
2.0%
경 1719
 
1.9%
Other values (552) 50624
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55468
62.8%
Decimal Number 16086
 
18.2%
Space Separator 10278
 
11.6%
Dash Punctuation 2163
 
2.4%
Uppercase Letter 1953
 
2.2%
Open Punctuation 1092
 
1.2%
Close Punctuation 1088
 
1.2%
Lowercase Letter 102
 
0.1%
Math Symbol 77
 
0.1%
Other Punctuation 54
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5859
 
10.6%
구 5392
 
9.7%
동 1792
 
3.2%
경 1719
 
3.1%
산 1382
 
2.5%
남 1075
 
1.9%
원 1005
 
1.8%
선 985
 
1.8%
북 978
 
1.8%
천 825
 
1.5%
Other values (498) 34456
62.1%
Uppercase Letter
ValueCountFrequency (%)
N 1874
96.0%
A 15
 
0.8%
S 12
 
0.6%
I 7
 
0.4%
K 6
 
0.3%
C 6
 
0.3%
B 5
 
0.3%
M 5
 
0.3%
H 5
 
0.3%
D 3
 
0.2%
Other values (9) 15
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
k 51
50.0%
t 9
 
8.8%
e 8
 
7.8%
m 7
 
6.9%
f 7
 
6.9%
s 6
 
5.9%
d 5
 
4.9%
a 3
 
2.9%
p 2
 
2.0%
z 2
 
2.0%
Other values (2) 2
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 4144
25.8%
2 2632
16.4%
0 1894
11.8%
3 1695
10.5%
4 1507
 
9.4%
5 1046
 
6.5%
6 922
 
5.7%
7 880
 
5.5%
8 773
 
4.8%
9 593
 
3.7%
Other Punctuation
ValueCountFrequency (%)
@ 13
24.1%
. 12
22.2%
& 9
16.7%
# 9
16.7%
; 9
16.7%
/ 1
 
1.9%
: 1
 
1.9%
Space Separator
ValueCountFrequency (%)
10278
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2163
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1092
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1088
100.0%
Math Symbol
ValueCountFrequency (%)
~ 77
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55468
62.8%
Common 30848
34.9%
Latin 2055
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5859
 
10.6%
구 5392
 
9.7%
동 1792
 
3.2%
경 1719
 
3.1%
산 1382
 
2.5%
남 1075
 
1.9%
원 1005
 
1.8%
선 985
 
1.8%
북 978
 
1.8%
천 825
 
1.5%
Other values (498) 34456
62.1%
Latin
ValueCountFrequency (%)
N 1874
91.2%
k 51
 
2.5%
A 15
 
0.7%
S 12
 
0.6%
t 9
 
0.4%
e 8
 
0.4%
I 7
 
0.3%
m 7
 
0.3%
f 7
 
0.3%
s 6
 
0.3%
Other values (21) 59
 
2.9%
Common
ValueCountFrequency (%)
10278
33.3%
1 4144
13.4%
2 2632
 
8.5%
- 2163
 
7.0%
0 1894
 
6.1%
3 1695
 
5.5%
4 1507
 
4.9%
( 1092
 
3.5%
) 1088
 
3.5%
5 1046
 
3.4%
Other values (13) 3309
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55465
62.8%
ASCII 32903
37.2%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10278
31.2%
1 4144
12.6%
2 2632
 
8.0%
- 2163
 
6.6%
0 1894
 
5.8%
N 1874
 
5.7%
3 1695
 
5.2%
4 1507
 
4.6%
( 1092
 
3.3%
) 1088
 
3.3%
Other values (44) 4536
13.8%
Hangul
ValueCountFrequency (%)
지 5859
 
10.6%
구 5392
 
9.7%
동 1792
 
3.2%
경 1719
 
3.1%
산 1382
 
2.5%
남 1075
 
1.9%
원 1005
 
1.8%
선 985
 
1.8%
북 978
 
1.8%
천 825
 
1.5%
Other values (497) 34453
62.1%
Compat Jamo
ValueCountFrequency (%)
ㅎ 3
100.0%

관리주체구분
Real number (ℝ)

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4681
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:30:13.617133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q38
95-th percentile9
Maximum99
Range98
Interquartile range (IQR)7

Descriptive statistics

Standard deviation13.482424
Coefficient of variation (CV)2.4656506
Kurtosis41.739129
Mean5.4681
Median Absolute Deviation (MAD)0
Skewness6.4283892
Sum54681
Variance181.77576
MonotonicityNot monotonic
2024-01-10T07:30:13.714090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 5258
52.6%
8 1773
 
17.7%
5 1335
 
13.4%
9 646
 
6.5%
7 335
 
3.4%
3 218
 
2.2%
99 193
 
1.9%
2 184
 
1.8%
4 42
 
0.4%
6 13
 
0.1%
ValueCountFrequency (%)
1 5258
52.6%
2 184
 
1.8%
3 218
 
2.2%
4 42
 
0.4%
5 1335
 
13.4%
6 13
 
0.1%
7 335
 
3.4%
8 1773
 
17.7%
9 646
 
6.5%
10 3
 
< 0.1%
ValueCountFrequency (%)
99 193
 
1.9%
10 3
 
< 0.1%
9 646
 
6.5%
8 1773
17.7%
7 335
 
3.4%
6 13
 
0.1%
5 1335
13.4%
4 42
 
0.4%
3 218
 
2.2%
2 184
 
1.8%

주소
Text

MISSING 

Distinct1412
Distinct (%)84.5%
Missing8329
Missing (%)83.3%
Memory size156.2 KiB
2024-01-10T07:30:13.967922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length12.284859
Min length1

Characters and Unicode

Total characters20528
Distinct characters497
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1316 ?
Unique (%)78.8%

Sample

1st row상도감리교회
2nd row초원빌라
3rd row삼강연립
4th row황고개약수터 인근
5th row지방도 1029호선
ValueCountFrequency (%)
영동선 65
 
1.8%
좌 60
 
1.7%
일원 59
 
1.6%
우 49
 
1.3%
중앙선 47
 
1.3%
서원기(현 39
 
1.1%
강릉선 39
 
1.1%
태백선 33
 
0.9%
뒤 33
 
0.9%
상선 27
 
0.7%
Other values (2112) 3182
87.6%
2024-01-10T07:30:14.379572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1962
 
9.6%
0 858
 
4.2%
1 733
 
3.6%
( 606
 
3.0%
) 606
 
3.0%
선 561
 
2.7%
2 547
 
2.7%
4 508
 
2.5%
- 483
 
2.4%
k 389
 
1.9%
Other values (487) 13275
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11345
55.3%
Decimal Number 4437
 
21.6%
Space Separator 1962
 
9.6%
Open Punctuation 608
 
3.0%
Close Punctuation 607
 
3.0%
Lowercase Letter 569
 
2.8%
Dash Punctuation 483
 
2.4%
Other Punctuation 284
 
1.4%
Math Symbol 185
 
0.9%
Uppercase Letter 48
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
선 561
 
4.9%
도 372
 
3.3%
산 319
 
2.8%
지 311
 
2.7%
동 301
 
2.7%
원 258
 
2.3%
간 235
 
2.1%
호 214
 
1.9%
리 204
 
1.8%
상 195
 
1.7%
Other values (438) 8375
73.8%
Uppercase Letter
ValueCountFrequency (%)
K 10
20.8%
C 7
14.6%
I 5
10.4%
S 5
10.4%
L 4
 
8.3%
A 3
 
6.2%
T 2
 
4.2%
P 2
 
4.2%
V 2
 
4.2%
E 2
 
4.2%
Other values (5) 6
12.5%
Decimal Number
ValueCountFrequency (%)
0 858
19.3%
1 733
16.5%
2 547
12.3%
4 508
11.4%
5 385
8.7%
3 345
7.8%
8 285
 
6.4%
6 273
 
6.2%
9 273
 
6.2%
7 230
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
k 389
68.4%
m 174
30.6%
g 1
 
0.2%
l 1
 
0.2%
x 1
 
0.2%
s 1
 
0.2%
e 1
 
0.2%
p 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 108
38.0%
; 56
19.7%
& 56
19.7%
# 56
19.7%
/ 5
 
1.8%
: 3
 
1.1%
Math Symbol
ValueCountFrequency (%)
~ 179
96.8%
= 4
 
2.2%
→ 1
 
0.5%
+ 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 606
99.7%
[ 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 606
99.8%
] 1
 
0.2%
Space Separator
ValueCountFrequency (%)
1962
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 483
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11345
55.3%
Common 8566
41.7%
Latin 617
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
선 561
 
4.9%
도 372
 
3.3%
산 319
 
2.8%
지 311
 
2.7%
동 301
 
2.7%
원 258
 
2.3%
간 235
 
2.1%
호 214
 
1.9%
리 204
 
1.8%
상 195
 
1.7%
Other values (438) 8375
73.8%
Common
ValueCountFrequency (%)
1962
22.9%
0 858
10.0%
1 733
 
8.6%
( 606
 
7.1%
) 606
 
7.1%
2 547
 
6.4%
4 508
 
5.9%
- 483
 
5.6%
5 385
 
4.5%
3 345
 
4.0%
Other values (16) 1533
17.9%
Latin
ValueCountFrequency (%)
k 389
63.0%
m 174
28.2%
K 10
 
1.6%
C 7
 
1.1%
I 5
 
0.8%
S 5
 
0.8%
L 4
 
0.6%
A 3
 
0.5%
T 2
 
0.3%
P 2
 
0.3%
Other values (13) 16
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11339
55.2%
ASCII 9182
44.7%
Compat Jamo 6
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1962
21.4%
0 858
9.3%
1 733
 
8.0%
( 606
 
6.6%
) 606
 
6.6%
2 547
 
6.0%
4 508
 
5.5%
- 483
 
5.3%
k 389
 
4.2%
5 385
 
4.2%
Other values (38) 2105
22.9%
Hangul
ValueCountFrequency (%)
선 561
 
4.9%
도 372
 
3.3%
산 319
 
2.8%
지 311
 
2.7%
동 301
 
2.7%
원 258
 
2.3%
간 235
 
2.1%
호 214
 
1.9%
리 204
 
1.8%
상 195
 
1.7%
Other values (434) 8369
73.8%
Compat Jamo
ValueCountFrequency (%)
ㅇ 2
33.3%
ㄹ 2
33.3%
ㄴ 1
16.7%
ㅁ 1
16.7%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

일련번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1631873 × 109
Minimum1.111 × 109
Maximum5.18 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T07:30:14.539613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.111 × 109
5-th percentile1.1680001 × 109
Q14.183 × 109
median4.4131 × 109
Q34.7290001 × 109
95-th percentile4.885 × 109
Maximum5.18 × 109
Range4.069 × 109
Interquartile range (IQR)5.4600005 × 108

Descriptive statistics

Standard deviation9.2540221 × 108
Coefficient of variation (CV)0.22228215
Kurtosis3.6986719
Mean4.1631873 × 109
Median Absolute Deviation (MAD)2.7610001 × 108
Skewness-2.0741757
Sum4.1631873 × 1013
Variance8.5636926 × 1017
MonotonicityNot monotonic
2024-01-10T07:30:14.669706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1159000036 1
 
< 0.1%
4136000230 1
 
< 0.1%
3111000031 1
 
< 0.1%
4784000018 1
 
< 0.1%
4884000122 1
 
< 0.1%
4623000108 1
 
< 0.1%
4513000210 1
 
< 0.1%
4275000239 1
 
< 0.1%
4374500004 1
 
< 0.1%
4574000236 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1111000006 1
< 0.1%
1111000019 1
< 0.1%
1111000022 1
< 0.1%
1111000024 1
< 0.1%
1111000031 1
< 0.1%
1111000034 1
< 0.1%
1111000038 1
< 0.1%
1111000039 1
< 0.1%
1111000042 1
< 0.1%
1111000043 1
< 0.1%
ValueCountFrequency (%)
5180000023 1
< 0.1%
5180000020 1
< 0.1%
5180000019 1
< 0.1%
5180000015 1
< 0.1%
5180000011 1
< 0.1%
5180000008 1
< 0.1%
5180000006 1
< 0.1%
5180000005 1
< 0.1%
5180000001 1
< 0.1%
5177000006 1
< 0.1%

Interactions

2024-01-10T07:30:11.268369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:30:10.738184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:30:11.003220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:30:11.371619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:30:10.815354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:30:11.086933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:30:11.474168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:30:10.900036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:30:11.165361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:30:14.754931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비탈면용도(보호목적)코드관리주체구분일련번호
비탈면용도(보호목적)코드1.0000.2540.317
관리주체구분0.2541.0000.208
일련번호0.3170.2081.000
2024-01-10T07:30:14.835537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비탈면용도(보호목적)코드관리주체구분일련번호
비탈면용도(보호목적)코드1.0000.251-0.143
관리주체구분0.2511.000-0.148
일련번호-0.143-0.1481.000

Missing values

2024-01-10T07:30:11.615044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:30:11.763675image/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.
2024-01-10T07:30:11.911665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

비탈면구조-콘크리트옹벽비탈면구조-석축옹벽비탈면구조-암반안정공법비탈면용도(보호목적)코드비탈면구조-토사면비탈면구조-복합급경사지명관리주체구분주소일련번호
8345<NA><NA><NA>6<NA>Y옹벽(노량진동328)99상도감리교회1159000036
8182Y<NA><NA>1<NA><NA>하늘공원주차장 옆 옹벽(오른쪽)1<NA>1153000028
805<NA><NA>Y1<NA><NA>의풍11<NA>4380000083
1118<NA><NA>Y3<NA><NA>오호2지구1<NA>4282000008
4871<NA><NA>Y1Y<NA>울산 동구 미포 N1지구1<NA>3117000062
9034<NA>Y<NA>3<NA><NA>휘경동 43-96호1<NA>1123000020
25872<NA><NA>Y1<NA><NA>경남 고성 하이 월흥 N2지구1<NA>4882000206
24609<NA><NA><NA>1Y<NA>호동급경사21<NA>4677000010
21966<NA><NA><NA>1<NA><NA>풍곡13지구(지방도416)1<NA>4223000031
9531<NA><NA><NA>2Y<NA>홍은동8-35초원빌라1초원빌라1141000045
비탈면구조-콘크리트옹벽비탈면구조-석축옹벽비탈면구조-암반안정공법비탈면용도(보호목적)코드비탈면구조-토사면비탈면구조-복합급경사지명관리주체구분주소일련번호
24680<NA><NA><NA><NA><NA><NA>강원-영동선4-경5<NA>4792000123
2932Y<NA><NA>1<NA><NA>후곡4지구1<NA>4280000054
18767<NA><NA><NA><NA><NA><NA>사면-851<NA>4725000144
26244<NA>Y<NA><NA><NA><NA>호남고속285<NA>4688000222
2449<NA><NA><NA>1<NA><NA>노동면 광곡리 산75-11<NA>4678000098
19640<NA><NA><NA>6Y<NA>장승포동-68<NA>4831000069
15466<NA><NA><NA>1<NA><NA>상천-3(상천)1군도6호선4182000145
11796<NA><NA><NA>6Y<NA>음봉 고속철도-1505광명~천안아산(하)86.115~86.4154420000061
25163<NA><NA><NA>1<NA><NA>북삼211049-2인근4785000013
5294<NA><NA><NA>1Y<NA>두서면 복안리 105-91<NA>3171000314