Overview

Dataset statistics

Number of variables14
Number of observations123
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.8 KiB
Average record size in memory115.1 B

Variable types

Categorical10
Text2
Numeric2

Dataset

Description김해시 급경사지 현황(시도명, 시군구명, 지번주소, 용도, 구조, 유형, 관리기관, 등급)에 대한 데이터를 제공합니다.
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15092352/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
공공_민간 has constant value ""Constant
경도 is highly overall correlated with 읍면동 and 1 other fieldsHigh correlation
읍면동 is highly overall correlated with 경도 and 2 other fieldsHigh correlation
유형 is highly overall correlated with 읍면동High correlation
관리기관 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
유형 is highly imbalanced (88.0%)Imbalance
관리기관 is highly imbalanced (66.7%)Imbalance
지구명 has unique valuesUnique

Reproduction

Analysis started2024-04-17 17:46:43.562884
Analysis finished2024-04-17 17:46:44.463016
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
경남
123 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경남 123
100.0%

Length

2024-04-18T02:46:44.512117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:44.581206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경남 123
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
김해시
123 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
김해시 123
100.0%

Length

2024-04-18T02:46:44.652704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:44.726234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김해시 123
100.0%

읍면동
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
상동면
11 
대청동
11 
생림면
10 
진영읍
9 
진례면
9 
Other values (24)
73 

Length

Max length3
Median length3
Mean length2.9268293
Min length2

Unique

Unique9 ?
Unique (%)7.3%

Sample

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

Common Values

ValueCountFrequency (%)
상동면 11
 
8.9%
대청동 11
 
8.9%
생림면 10
 
8.1%
진영읍 9
 
7.3%
진례면 9
 
7.3%
삼방동 8
 
6.5%
삼계동 7
 
5.7%
구산동 6
 
4.9%
관동동 6
 
4.9%
동상동 6
 
4.9%
Other values (19) 40
32.5%

Length

2024-04-18T02:46:44.799501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상동면 11
 
8.9%
대청동 11
 
8.9%
생림면 10
 
8.1%
진영읍 9
 
7.3%
진례면 9
 
7.3%
삼방동 8
 
6.5%
삼계동 7
 
5.7%
구산동 6
 
4.9%
관동동 6
 
4.9%
동상동 6
 
4.9%
Other values (19) 40
32.5%

지번주소
Text

Distinct115
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-18T02:46:45.027617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length19.195122
Min length12

Characters and Unicode

Total characters2361
Distinct characters84
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)88.6%

Sample

1st row경상남도 김해시 진영읍 하계리 산33
2nd row경상남도 김해시 진영읍 여래리 산87
3rd row경상남도 김해시 진영읍 죽곡리 산15-17
4th row경상남도 김해시 진영읍 여래리 755-12
5th row경상남도 김해시 진영읍 본산리 산48
ValueCountFrequency (%)
경상남도 123
22.3%
김해시 123
22.3%
대청동 11
 
2.0%
상동면 11
 
2.0%
생림면 10
 
1.8%
진례면 9
 
1.6%
진영읍 9
 
1.6%
삼방동 8
 
1.5%
묵방리 7
 
1.3%
삼계동 7
 
1.3%
Other values (163) 233
42.3%
2024-04-18T02:46:45.399345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
431
18.3%
상 140
 
5.9%
도 125
 
5.3%
경 123
 
5.2%
남 123
 
5.2%
김 123
 
5.2%
해 123
 
5.2%
시 123
 
5.2%
동 95
 
4.0%
1 80
 
3.4%
Other values (74) 875
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1425
60.4%
Space Separator 431
 
18.3%
Decimal Number 423
 
17.9%
Dash Punctuation 72
 
3.0%
Control 10
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 140
 
9.8%
도 125
 
8.8%
경 123
 
8.6%
남 123
 
8.6%
김 123
 
8.6%
해 123
 
8.6%
시 123
 
8.6%
동 95
 
6.7%
리 50
 
3.5%
산 47
 
3.3%
Other values (61) 353
24.8%
Decimal Number
ValueCountFrequency (%)
1 80
18.9%
3 55
13.0%
2 50
11.8%
4 45
10.6%
7 35
8.3%
6 35
8.3%
8 33
7.8%
9 32
 
7.6%
5 30
 
7.1%
0 28
 
6.6%
Space Separator
ValueCountFrequency (%)
431
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Control
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1425
60.4%
Common 936
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 140
 
9.8%
도 125
 
8.8%
경 123
 
8.6%
남 123
 
8.6%
김 123
 
8.6%
해 123
 
8.6%
시 123
 
8.6%
동 95
 
6.7%
리 50
 
3.5%
산 47
 
3.3%
Other values (61) 353
24.8%
Common
ValueCountFrequency (%)
431
46.0%
1 80
 
8.5%
- 72
 
7.7%
3 55
 
5.9%
2 50
 
5.3%
4 45
 
4.8%
7 35
 
3.7%
6 35
 
3.7%
8 33
 
3.5%
9 32
 
3.4%
Other values (3) 68
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1425
60.4%
ASCII 936
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
431
46.0%
1 80
 
8.5%
- 72
 
7.7%
3 55
 
5.9%
2 50
 
5.3%
4 45
 
4.8%
7 35
 
3.7%
6 35
 
3.7%
8 33
 
3.5%
9 32
 
3.4%
Other values (3) 68
 
7.3%
Hangul
ValueCountFrequency (%)
상 140
 
9.8%
도 125
 
8.8%
경 123
 
8.6%
남 123
 
8.6%
김 123
 
8.6%
해 123
 
8.6%
시 123
 
8.6%
동 95
 
6.7%
리 50
 
3.5%
산 47
 
3.3%
Other values (61) 353
24.8%

용도
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
도로
87 
기타
21 
공원
14 
772-3
 
1

Length

Max length5
Median length2
Mean length2.0243902
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
도로 87
70.7%
기타 21
 
17.1%
공원 14
 
11.4%
772-3 1
 
0.8%

Length

2024-04-18T02:46:45.509668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:45.589075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로 87
70.7%
기타 21
 
17.1%
공원 14
 
11.4%
772-3 1
 
0.8%

구조
Categorical

Distinct5
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
복합
85 
토사
14 
암반
12 
옹벽
11 
석축
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row토사
2nd row복합
3rd row복합
4th row복합
5th row복합

Common Values

ValueCountFrequency (%)
복합 85
69.1%
토사 14
 
11.4%
암반 12
 
9.8%
옹벽 11
 
8.9%
석축 1
 
0.8%

Length

2024-04-18T02:46:45.672662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:45.749487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복합 85
69.1%
토사 14
 
11.4%
암반 12
 
9.8%
옹벽 11
 
8.9%
석축 1
 
0.8%

유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
인공
121 
자연
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인공 121
98.4%
자연 2
 
1.6%

Length

2024-04-18T02:46:45.838338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:45.922171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인공 121
98.4%
자연 2
 
1.6%

지구명
Text

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-18T02:46:46.143425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length5.9593496
Min length4

Characters and Unicode

Total characters733
Distinct characters47
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)100.0%

Sample

1st row진영1지구
2nd row진영6지구
3rd row진영7지구
4th row진영9지구
5th row진영15지구
ValueCountFrequency (%)
부산신항 10
 
6.4%
상동 7
 
4.5%
n1지구 6
 
3.8%
묵방 5
 
3.2%
삼계 3
 
1.9%
나전 2
 
1.3%
경전 2
 
1.3%
2 2
 
1.3%
n2지구 2
 
1.3%
n3지구 2
 
1.3%
Other values (116) 116
73.9%
2024-04-18T02:46:46.473474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 117
16.0%
지 112
 
15.3%
1 39
 
5.3%
34
 
4.6%
2 29
 
4.0%
장 28
 
3.8%
유 28
 
3.8%
동 25
 
3.4%
3 21
 
2.9%
4 20
 
2.7%
Other values (37) 280
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 506
69.0%
Decimal Number 180
 
24.6%
Space Separator 34
 
4.6%
Uppercase Letter 13
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 117
23.1%
지 112
22.1%
장 28
 
5.5%
유 28
 
5.5%
동 25
 
4.9%
상 19
 
3.8%
방 17
 
3.4%
삼 16
 
3.2%
산 16
 
3.2%
진 12
 
2.4%
Other values (25) 116
22.9%
Decimal Number
ValueCountFrequency (%)
1 39
21.7%
2 29
16.1%
3 21
11.7%
4 20
11.1%
5 17
9.4%
6 17
9.4%
7 14
 
7.8%
9 9
 
5.0%
8 7
 
3.9%
0 7
 
3.9%
Space Separator
ValueCountFrequency (%)
34
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 506
69.0%
Common 214
29.2%
Latin 13
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 117
23.1%
지 112
22.1%
장 28
 
5.5%
유 28
 
5.5%
동 25
 
4.9%
상 19
 
3.8%
방 17
 
3.4%
삼 16
 
3.2%
산 16
 
3.2%
진 12
 
2.4%
Other values (25) 116
22.9%
Common
ValueCountFrequency (%)
1 39
18.2%
34
15.9%
2 29
13.6%
3 21
9.8%
4 20
9.3%
5 17
7.9%
6 17
7.9%
7 14
 
6.5%
9 9
 
4.2%
8 7
 
3.3%
Latin
ValueCountFrequency (%)
N 13
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 506
69.0%
ASCII 227
31.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 117
23.1%
지 112
22.1%
장 28
 
5.5%
유 28
 
5.5%
동 25
 
4.9%
상 19
 
3.8%
방 17
 
3.4%
삼 16
 
3.2%
산 16
 
3.2%
진 12
 
2.4%
Other values (25) 116
22.9%
ASCII
ValueCountFrequency (%)
1 39
17.2%
34
15.0%
2 29
12.8%
3 21
9.3%
4 20
8.8%
5 17
7.5%
6 17
7.5%
7 14
 
6.2%
N 13
 
5.7%
9 9
 
4.0%
Other values (2) 14
 
6.2%

관리기관
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
지자체(김해시)
110 
국가철도공단
12 
지자체(경상남도(도로관리사업소))
 
1

Length

Max length18
Median length8
Mean length7.8861789
Min length6

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row지자체(김해시)
2nd row지자체(김해시)
3rd row지자체(김해시)
4th row지자체(김해시)
5th row지자체(김해시)

Common Values

ValueCountFrequency (%)
지자체(김해시) 110
89.4%
국가철도공단 12
 
9.8%
지자체(경상남도(도로관리사업소)) 1
 
0.8%

Length

2024-04-18T02:46:46.582511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:46.660616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지자체(김해시 110
89.4%
국가철도공단 12
 
9.8%
지자체(경상남도(도로관리사업소 1
 
0.8%

공공_민간
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
공공
123 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공 123
100.0%

Length

2024-04-18T02:46:46.738723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:47.026777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공 123
100.0%

등급
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
C
61 
B
54 
A
7 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st rowB
2nd rowC
3rd rowC
4th rowB
5th rowB

Common Values

ValueCountFrequency (%)
C 61
49.6%
B 54
43.9%
A 7
 
5.7%
D 1
 
0.8%

Length

2024-04-18T02:46:47.096502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:47.171066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
c 61
49.6%
b 54
43.9%
a 7
 
5.7%
d 1
 
0.8%

위도
Real number (ℝ)

Distinct113
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.249332
Minimum35.168542
Maximum35.391024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-18T02:46:47.274189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.168542
5-th percentile35.178871
Q135.227157
median35.244348
Q335.28246
95-th percentile35.318212
Maximum35.391024
Range0.22248223
Interquartile range (IQR)0.055303215

Descriptive statistics

Standard deviation0.04576394
Coefficient of variation (CV)0.0012982924
Kurtosis0.32841701
Mean35.249332
Median Absolute Deviation (MAD)0.03436191
Skewness0.36805866
Sum4335.6679
Variance0.0020943382
MonotonicityNot monotonic
2024-04-18T02:46:47.383008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.2730789 5
 
4.1%
35.19166838 3
 
2.4%
35.17502826 3
 
2.4%
35.17114612 2
 
1.6%
35.24005841 2
 
1.6%
35.24067008 1
 
0.8%
35.26735917 1
 
0.8%
35.26472228 1
 
0.8%
35.23319234 1
 
0.8%
35.23738095 1
 
0.8%
Other values (103) 103
83.7%
ValueCountFrequency (%)
35.1685421 1
 
0.8%
35.17114612 2
1.6%
35.17502826 3
2.4%
35.17883556 1
 
0.8%
35.17918537 1
 
0.8%
35.18074204 1
 
0.8%
35.1813239 1
 
0.8%
35.18212119 1
 
0.8%
35.18323438 1
 
0.8%
35.18516857 1
 
0.8%
ValueCountFrequency (%)
35.39102433 1
0.8%
35.3900142 1
0.8%
35.360531 1
0.8%
35.3383321 1
0.8%
35.33238122 1
0.8%
35.319 1
0.8%
35.31868148 1
0.8%
35.31398384 1
0.8%
35.31365571 1
0.8%
35.31105913 1
0.8%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct113
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.84391
Minimum128.7336
Maximum128.98108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-18T02:46:47.489917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.7336
5-th percentile128.74438
Q1128.79646
median128.85487
Q3128.88887
95-th percentile128.91432
Maximum128.98108
Range0.2474862
Interquartile range (IQR)0.0924192

Descriptive statistics

Standard deviation0.059722164
Coefficient of variation (CV)0.00046352337
Kurtosis-0.87302576
Mean128.84391
Median Absolute Deviation (MAD)0.0489487
Skewness-0.11716802
Sum15847.801
Variance0.0035667369
MonotonicityNot monotonic
2024-04-18T02:46:47.594892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.8613894 5
 
4.1%
128.7985322 3
 
2.4%
128.7964552 3
 
2.4%
128.8059198 2
 
1.6%
128.914207 2
 
1.6%
128.902469 1
 
0.8%
128.872566 1
 
0.8%
128.8829419 1
 
0.8%
128.9234414 1
 
0.8%
128.8965578 1
 
0.8%
Other values (103) 103
83.7%
ValueCountFrequency (%)
128.733598 1
0.8%
128.7355481 1
0.8%
128.7364912 1
0.8%
128.737196 1
0.8%
128.7376068 1
0.8%
128.7418062 1
0.8%
128.7443527 1
0.8%
128.744667 1
0.8%
128.746648 1
0.8%
128.7472718 1
0.8%
ValueCountFrequency (%)
128.9810842 1
0.8%
128.98085 1
0.8%
128.9561241 1
0.8%
128.9505969 1
0.8%
128.9405585 1
0.8%
128.9234414 1
0.8%
128.9143217 1
0.8%
128.9142594 1
0.8%
128.914207 2
1.6%
128.9136887 1
0.8%

상태
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
정좌표
99 
인근좌표
24 

Length

Max length4
Median length3
Mean length3.195122
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정좌표 99
80.5%
인근좌표 24
 
19.5%

Length

2024-04-18T02:46:47.693083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:46:47.766600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정좌표 99
80.5%
인근좌표 24
 
19.5%

Interactions

2024-04-18T02:46:44.129379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:46:44.015697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:46:44.189391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:46:44.071934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T02:46:47.819228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동용도구조유형관리기관등급위도경도상태
읍면동1.0000.5830.6890.7230.8520.0000.8530.9240.613
용도0.5831.0000.3250.0540.4960.3890.2850.2080.095
구조0.6890.3251.0000.2580.3650.3320.2800.3290.000
유형0.7230.0540.2581.0000.0000.0000.0000.0970.000
관리기관0.8520.4960.3650.0001.0000.1990.1890.6840.135
등급0.0000.3890.3320.0000.1991.0000.0000.0000.203
위도0.8530.2850.2800.0000.1890.0001.0000.8020.352
경도0.9240.2080.3290.0970.6840.0000.8021.0000.345
상태0.6130.0950.0000.0000.1350.2030.3520.3451.000
2024-04-18T02:46:47.908753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동관리기관구조상태유형용도등급
읍면동1.0000.5910.3640.4660.5580.3020.000
관리기관0.5911.0000.2940.2220.0000.4930.188
구조0.3640.2941.0000.0000.3110.2690.275
상태0.4660.2220.0001.0000.0000.0610.133
유형0.5580.0000.3110.0001.0000.0320.000
용도0.3020.4930.2690.0610.0321.0000.159
등급0.0000.1880.2750.1330.0000.1591.000
2024-04-18T02:46:47.997413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도읍면동용도구조유형관리기관등급상태
위도1.0000.2780.4650.1680.1150.0000.1080.0000.260
경도0.2781.0000.6000.1220.1340.0730.5200.0220.259
읍면동0.4650.6001.0000.3020.3640.5580.5910.0000.466
용도0.1680.1220.3021.0000.2690.0320.4930.1590.061
구조0.1150.1340.3640.2691.0000.3110.2940.2750.000
유형0.0000.0730.5580.0320.3111.0000.0000.0000.000
관리기관0.1080.5200.5910.4930.2940.0001.0000.1880.222
등급0.0000.0220.0000.1590.2750.0000.1881.0000.133
상태0.2600.2590.4660.0610.0000.0000.2220.1331.000

Missing values

2024-04-18T02:46:44.277314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T02:46:44.413816image/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

시도명시군구명읍면동지번주소용도구조유형지구명관리기관공공_민간등급위도경도상태
0경남김해시진영읍경상남도 김해시 진영읍 하계리 산33도로토사인공진영1지구지자체(김해시)공공B35.289846128.736491정좌표
1경남김해시진영읍경상남도 김해시 진영읍 여래리 산87도로복합인공진영6지구지자체(김해시)공공C35.291819128.735548정좌표
2경남김해시진영읍경상남도 김해시 진영읍 죽곡리 산15-17도로복합인공진영7지구지자체(김해시)공공C35.289623128.769355정좌표
3경남김해시진영읍경상남도 김해시 진영읍 여래리 755-12도로복합인공진영9지구지자체(김해시)공공B35.301047128.733598정좌표
4경남김해시진영읍경상남도 김해시 진영읍 본산리 산48도로복합인공진영15지구지자체(김해시)공공B35.311059128.754565정좌표
5경남김해시진영읍경상남도 김해시 진영읍 본산리 산40도로복합인공진영16지구지자체(김해시)공공B35.309677128.746648인근좌표
6경남김해시진영읍경상남도 김해시 진영읍 본산리 994-2도로암반인공진영21지구지자체(김해시)공공C35.313984128.747272정좌표
7경남김해시진례면경상남도 김해시 진례면 송정리 902도로복합인공진례5지구지자체(김해시)공공B35.24658128.741806정좌표
8경남김해시진례면경상남도 김해시 진례면 신안리 164-1도로복합인공진례10지구지자체(김해시)공공B35.236915128.748858정좌표
9경남김해시진례면경상남도 김해시 진례면 신안리 702-1도로복합인공진례14지구지자체(김해시)공공C35.227036128.737607정좌표
시도명시군구명읍면동지번주소용도구조유형지구명관리기관공공_민간등급위도경도상태
113경남김해시진영읍경상남도 김해시 진영읍 죽곡리 70-1기타토사인공부산신항 3국가철도공단공공B35.282979128.771011인근좌표
114경남김해시진례면경상남도 김해시 진례면 죽곡리 278-1기타토사인공부산신항 4국가철도공단공공B35.248913128.753256정좌표
115경남김해시진례면경상남도 김해시 진례면 산본리 319-6기타옹벽인공부산신항 5국가철도공단공공A35.229987128.774043정좌표
116경남김해시진례경상남도 김해시 진례 산본 320-9기타암반인공부산신항 6국가철도공단공공B35.273079128.861389인근좌표
117경남김해시장유경상남도 김해시 장유 부곡 154-12기타옹벽인공부산신항 8국가철도공단공공B35.273079128.861389인근좌표
118경남김해시장유경상남도 김해시 장유 내덕 467-1기타토사인공부산신항 9국가철도공단공공B35.273079128.861389인근좌표
119경남김해시명법경상남도 김해시 명법 733기타암반인공부산신항 10국가철도공단공공B35.273079128.861389인근좌표
120경남김해시이동경상남도 김해시 이동 563기타암반인공부산신항 11국가철도공단공공B35.193406128.839903정좌표
121경남김해시장유면경상남도 김해시 장유면 응달 990-1기타복합인공부산신항 12국가철도공단공공B35.273079128.861389인근좌표
122경남김해시대동면경상남도 김해시 대동면 덕산리 산49-17도로복합인공대동6지구지자체(경상남도(도로관리사업소))공공C35.28857128.981084정좌표