Overview

Dataset statistics

Number of variables14
Number of observations304
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.6 KiB
Average record size in memory116.4 B

Variable types

Numeric4
Categorical8
Text2

Dataset

Description가평군 산사태 취약지역에 대한 연번, 시도, 시군구, 읍면동, 리, 지번, 위도, 경도, 편입면적 등의 현황 데이터입니다.
Author경기도 가평군
URLhttps://www.data.go.kr/data/15116600/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
지정해제구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 읍면동High correlation
경도 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
읍면동 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
취약지역유형 is highly overall correlated with 지정일자High correlation
지정일자 is highly overall correlated with 취약지역유형High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-30 06:59:17.654688
Analysis finished2024-03-30 06:59:27.119491
Duration9.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct304
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.5
Minimum1
Maximum304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T06:59:27.646966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.15
Q176.75
median152.5
Q3228.25
95-th percentile288.85
Maximum304
Range303
Interquartile range (IQR)151.5

Descriptive statistics

Standard deviation87.90146
Coefficient of variation (CV)0.57640302
Kurtosis-1.2
Mean152.5
Median Absolute Deviation (MAD)76
Skewness0
Sum46360
Variance7726.6667
MonotonicityStrictly increasing
2024-03-30T06:59:28.573507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
202 1
 
0.3%
209 1
 
0.3%
208 1
 
0.3%
207 1
 
0.3%
206 1
 
0.3%
205 1
 
0.3%
204 1
 
0.3%
203 1
 
0.3%
201 1
 
0.3%
Other values (294) 294
96.7%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
304 1
0.3%
303 1
0.3%
302 1
0.3%
301 1
0.3%
300 1
0.3%
299 1
0.3%
298 1
0.3%
297 1
0.3%
296 1
0.3%
295 1
0.3%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
경기도
304 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 304
100.0%

Length

2024-03-30T06:59:29.341119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T06:59:29.699152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 304
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
가평군
304 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가평군 304
100.0%

Length

2024-03-30T06:59:30.295094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T06:59:30.644291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가평군 304
100.0%

읍면동
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
가평읍
65 
조종면
64 
북면
62 
청평면
44 
설악면
43 

Length

Max length3
Median length3
Mean length2.7105263
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가평읍 65
21.4%
조종면 64
21.1%
북면 62
20.4%
청평면 44
14.5%
설악면 43
14.1%
상면 26
 
8.6%

Length

2024-03-30T06:59:31.013902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T06:59:31.514569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가평읍 65
21.4%
조종면 64
21.1%
북면 62
20.4%
청평면 44
14.5%
설악면 43
14.1%
상면 26
 
8.6%

리
Text

Distinct56
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-03-30T06:59:32.116841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9967105
Min length2

Characters and Unicode

Total characters911
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)3.0%

Sample

1st row개곡리
2nd row개곡리
3rd row개곡리
4th row개곡리
5th row개곡리
ValueCountFrequency (%)
화악리 28
 
9.2%
두밀리 19
 
6.2%
상천리 16
 
5.3%
마일리 16
 
5.3%
대보리 14
 
4.6%
목동리 11
 
3.6%
상판리 11
 
3.6%
개곡리 9
 
3.0%
신상리 9
 
3.0%
호명리 9
 
3.0%
Other values (46) 162
53.3%
2024-03-30T06:59:33.364958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 304
33.4%
상 45
 
4.9%
악 36
 
4.0%
화 33
 
3.6%
곡 31
 
3.4%
대 29
 
3.2%
천 25
 
2.7%
두 19
 
2.1%
밀 19
 
2.1%
일 19
 
2.1%
Other values (61) 351
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 911
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 304
33.4%
상 45
 
4.9%
악 36
 
4.0%
화 33
 
3.6%
곡 31
 
3.4%
대 29
 
3.2%
천 25
 
2.7%
두 19
 
2.1%
밀 19
 
2.1%
일 19
 
2.1%
Other values (61) 351
38.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 911
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 304
33.4%
상 45
 
4.9%
악 36
 
4.0%
화 33
 
3.6%
곡 31
 
3.4%
대 29
 
3.2%
천 25
 
2.7%
두 19
 
2.1%
밀 19
 
2.1%
일 19
 
2.1%
Other values (61) 351
38.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 911
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 304
33.4%
상 45
 
4.9%
악 36
 
4.0%
화 33
 
3.6%
곡 31
 
3.4%
대 29
 
3.2%
천 25
 
2.7%
두 19
 
2.1%
밀 19
 
2.1%
일 19
 
2.1%
Other values (61) 351
38.5%

지번
Text

Distinct287
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-03-30T06:59:34.160613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length5.2927632
Min length3

Characters and Unicode

Total characters1609
Distinct characters26
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique273 ?
Unique (%)89.8%

Sample

1st row297전
2nd row915구
3rd row산97임
4th row산94임
5th row308-2전
ValueCountFrequency (%)
임 21
 
6.3%
산30임 4
 
1.2%
산67임 3
 
0.9%
산95임 2
 
0.6%
구 2
 
0.6%
산208임 2
 
0.6%
산157임 2
 
0.6%
산87-1임 2
 
0.6%
산219-1임 2
 
0.6%
도 2
 
0.6%
Other values (285) 292
87.4%
2024-03-30T06:59:35.493345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 205
12.7%
임 204
12.7%
산 199
12.4%
- 132
8.2%
2 122
 
7.6%
3 112
 
7.0%
4 85
 
5.3%
5 80
 
5.0%
8 74
 
4.6%
6 72
 
4.5%
Other values (16) 324
20.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 955
59.4%
Other Letter 488
30.3%
Dash Punctuation 132
 
8.2%
Space Separator 30
 
1.9%
Other Punctuation 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 204
41.8%
산 199
40.8%
구 31
 
6.4%
전 25
 
5.1%
천 9
 
1.8%
대 7
 
1.4%
답 5
 
1.0%
도 5
 
1.0%
월 1
 
0.2%
일 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 205
21.5%
2 122
12.8%
3 112
11.7%
4 85
8.9%
5 80
 
8.4%
8 74
 
7.7%
6 72
 
7.5%
9 69
 
7.2%
7 69
 
7.2%
0 67
 
7.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1121
69.7%
Hangul 488
30.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 205
18.3%
- 132
11.8%
2 122
10.9%
3 112
10.0%
4 85
7.6%
5 80
 
7.1%
8 74
 
6.6%
6 72
 
6.4%
9 69
 
6.2%
7 69
 
6.2%
Other values (5) 101
9.0%
Hangul
ValueCountFrequency (%)
임 204
41.8%
산 199
40.8%
구 31
 
6.4%
전 25
 
5.1%
천 9
 
1.8%
대 7
 
1.4%
답 5
 
1.0%
도 5
 
1.0%
월 1
 
0.2%
일 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1121
69.7%
Hangul 488
30.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 205
18.3%
- 132
11.8%
2 122
10.9%
3 112
10.0%
4 85
7.6%
5 80
 
7.1%
8 74
 
6.6%
6 72
 
6.4%
9 69
 
6.2%
7 69
 
6.2%
Other values (5) 101
9.0%
Hangul
ValueCountFrequency (%)
임 204
41.8%
산 199
40.8%
구 31
 
6.4%
전 25
 
5.1%
천 9
 
1.8%
대 7
 
1.4%
답 5
 
1.0%
도 5
 
1.0%
월 1
 
0.2%
일 1
 
0.2%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct298
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.811031
Minimum37.59532
Maximum37.990346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T06:59:36.138940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.59532
5-th percentile37.649999
Q137.75117
median37.814825
Q337.878379
95-th percentile37.953682
Maximum37.990346
Range0.3950259
Interquartile range (IQR)0.12720958

Descriptive statistics

Standard deviation0.093126457
Coefficient of variation (CV)0.0024629442
Kurtosis-0.48403625
Mean37.811031
Median Absolute Deviation (MAD)0.0635688
Skewness-0.24624265
Sum11494.553
Variance0.0086725369
MonotonicityNot monotonic
2024-03-30T06:59:36.774456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.9307398 2
 
0.7%
37.873034 2
 
0.7%
37.9903457 2
 
0.7%
37.7445699 2
 
0.7%
37.7673291 2
 
0.7%
37.9381178 2
 
0.7%
37.8729784 1
 
0.3%
37.8024855 1
 
0.3%
37.8166938 1
 
0.3%
37.813609 1
 
0.3%
Other values (288) 288
94.7%
ValueCountFrequency (%)
37.5953198 1
0.3%
37.5955982 1
0.3%
37.5966563 1
0.3%
37.5985136 1
0.3%
37.5993957 1
0.3%
37.6041886 1
0.3%
37.6072736 1
0.3%
37.607815 1
0.3%
37.6099036 1
0.3%
37.6181733 1
0.3%
ValueCountFrequency (%)
37.9903457 2
0.7%
37.990047 1
0.3%
37.987969 1
0.3%
37.9873577 1
0.3%
37.9856969 1
0.3%
37.9842636 1
0.3%
37.9756938 1
0.3%
37.970784 1
0.3%
37.9670636 1
0.3%
37.9652974 1
0.3%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct298
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.45527
Minimum127.2833
Maximum127.59889
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T06:59:37.343032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.2833
5-th percentile127.34668
Q1127.38863
median127.4559
Q3127.5242
95-th percentile127.57227
Maximum127.59889
Range0.3155856
Interquartile range (IQR)0.13556653

Descriptive statistics

Standard deviation0.075109788
Coefficient of variation (CV)0.00058930311
Kurtosis-0.94944518
Mean127.45527
Median Absolute Deviation (MAD)0.0673607
Skewness-0.070299437
Sum38746.402
Variance0.0056414802
MonotonicityNot monotonic
2024-03-30T06:59:37.925027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.3993326 2
 
0.7%
127.3623473 2
 
0.7%
127.4181679 2
 
0.7%
127.3466779 2
 
0.7%
127.3546959 2
 
0.7%
127.5392401 2
 
0.7%
127.5616962 1
 
0.3%
127.4004953 1
 
0.3%
127.3985407 1
 
0.3%
127.3978956 1
 
0.3%
Other values (288) 288
94.7%
ValueCountFrequency (%)
127.2833026 1
0.3%
127.2861924 1
0.3%
127.2864477 1
0.3%
127.2898629 1
0.3%
127.2923627 1
0.3%
127.304483 1
0.3%
127.3082159 1
0.3%
127.3225001 1
0.3%
127.3228729 1
0.3%
127.3262029 1
0.3%
ValueCountFrequency (%)
127.5988882 1
0.3%
127.5969534 1
0.3%
127.5959177 1
0.3%
127.5936415 1
0.3%
127.5859847 1
0.3%
127.5844792 1
0.3%
127.5842483 1
0.3%
127.583562 1
0.3%
127.5816206 1
0.3%
127.5786361 1
0.3%

편입면적(제곱미터)
Real number (ℝ)

Distinct268
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2410.2862
Minimum48
Maximum147135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-30T06:59:38.514199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile106.15
Q1503.75
median1552
Q32517.5
95-th percentile6441.25
Maximum147135
Range147087
Interquartile range (IQR)2013.75

Descriptive statistics

Standard deviation8537.4669
Coefficient of variation (CV)3.5420967
Kurtosis274.95766
Mean2410.2862
Median Absolute Deviation (MAD)1040
Skewness16.190396
Sum732727
Variance72888340
MonotonicityNot monotonic
2024-03-30T06:59:39.074877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 9
 
3.0%
100 5
 
1.6%
212 3
 
1.0%
94 3
 
1.0%
151 3
 
1.0%
128 3
 
1.0%
143 3
 
1.0%
231 2
 
0.7%
2070 2
 
0.7%
512 2
 
0.7%
Other values (258) 269
88.5%
ValueCountFrequency (%)
48 1
 
0.3%
60 2
 
0.7%
77 1
 
0.3%
82 1
 
0.3%
88 1
 
0.3%
90 1
 
0.3%
94 3
1.0%
100 5
1.6%
106 1
 
0.3%
107 2
 
0.7%
ValueCountFrequency (%)
147135 1
0.3%
9350 1
0.3%
8575 1
0.3%
7380 1
0.3%
7300 1
0.3%
7242 1
0.3%
7092 1
0.3%
7014 1
0.3%
6934 1
0.3%
6743 1
0.3%

취약지역유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
토석류
258 
산사태
46 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
토석류 258
84.9%
산사태 46
 
15.1%

Length

2024-03-30T06:59:39.614043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T06:59:40.046947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토석류 258
84.9%
산사태 46
 
15.1%

등급
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
A
218 
B
80 
C
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A 218
71.7%
B 80
 
26.3%
C 6
 
2.0%

Length

2024-03-30T06:59:40.431994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T06:59:40.780736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 218
71.7%
b 80
 
26.3%
c 6
 
2.0%

지정해제구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
지정
304 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정 304
100.0%

Length

2024-03-30T06:59:41.743503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T06:59:42.289108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 304
100.0%

지정일자
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2014-12-31
92 
2015-06-30
83 
2022-06-28
38 
2015-09-22
30 
2016-06-29
15 
Other values (6)
46 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015-06-30
2nd row2014-12-31
3rd row2014-12-31
4th row2014-12-31
5th row2015-06-30

Common Values

ValueCountFrequency (%)
2014-12-31 92
30.3%
2015-06-30 83
27.3%
2022-06-28 38
12.5%
2015-09-22 30
 
9.9%
2016-06-29 15
 
4.9%
2022-01-26 10
 
3.3%
2019-06-24 9
 
3.0%
2023-10-19 9
 
3.0%
2018-06-29 8
 
2.6%
2017-06-28 6
 
2.0%

Length

2024-03-30T06:59:42.686246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2014-12-31 92
30.3%
2015-06-30 83
27.3%
2022-06-28 38
12.5%
2015-09-22 30
 
9.9%
2016-06-29 15
 
4.9%
2022-01-26 10
 
3.3%
2019-06-24 9
 
3.0%
2023-10-19 9
 
3.0%
2018-06-29 8
 
2.6%
2017-06-28 6
 
2.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-03-15
304 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-15
2nd row2024-03-15
3rd row2024-03-15
4th row2024-03-15
5th row2024-03-15

Common Values

ValueCountFrequency (%)
2024-03-15 304
100.0%

Length

2024-03-30T06:59:43.080509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T06:59:43.516421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-15 304
100.0%

Interactions

2024-03-30T06:59:23.713253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T06:59:19.442862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T06:59:20.861843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T06:59:22.333044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T06:59:24.230531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T06:59:19.743927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T06:59:21.221645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T06:59:22.666475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T06:59:24.806848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T06:59:20.098968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T06:59:21.662928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T06:59:22.950436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T06:59:25.178522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T06:59:20.491311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T06:59:22.005832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T06:59:23.311497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-30T06:59:43.720567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면동리위도경도편입면적(제곱미터)취약지역유형등급지정일자
연번1.0000.9600.9920.8790.8620.0310.2810.1340.336
읍면동0.9601.0001.0000.8380.7690.0000.2460.1380.412
리0.9921.0001.0000.9710.9580.0000.3700.4520.728
위도0.8790.8380.9711.0000.7170.0540.2000.1280.380
경도0.8620.7690.9580.7171.0000.1740.1580.1630.227
편입면적(제곱미터)0.0310.0000.0000.0540.1741.0000.0000.0000.000
취약지역유형0.2810.2460.3700.2000.1580.0001.0000.1970.754
등급0.1340.1380.4520.1280.1630.0000.1971.0000.589
지정일자0.3360.4120.7280.3800.2270.0000.7540.5891.000
2024-03-30T06:59:44.076329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
취약지역유형읍면동지정일자등급
취약지역유형1.0000.1760.7300.323
읍면동0.1761.0000.2230.057
지정일자0.7300.2231.0000.417
등급0.3230.0570.4171.000
2024-03-30T06:59:44.383120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도편입면적(제곱미터)읍면동취약지역유형등급지정일자
연번1.000-0.304-0.5110.1310.8880.2120.0780.149
위도-0.3041.0000.1060.0370.6400.1510.0750.171
경도-0.5110.1061.000-0.1200.5410.1190.0960.098
편입면적(제곱미터)0.1310.037-0.1201.0000.0000.0000.0000.000
읍면동0.8880.6400.5410.0001.0000.1760.0570.223
취약지역유형0.2120.1510.1190.0000.1761.0000.3230.730
등급0.0780.0750.0960.0000.0570.3231.0000.417
지정일자0.1490.1710.0980.0000.2230.7300.4171.000

Missing values

2024-03-30T06:59:25.574372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T06:59:26.552102image/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

연번시도시군구읍면동리지번위도경도편입면적(제곱미터)취약지역유형등급지정해제구분지정일자데이터기준일자
01경기도가평군가평읍개곡리297전37.872978127.5616961835토석류A지정2015-06-302024-03-15
12경기도가평군가평읍개곡리915구37.879481127.5859851369토석류A지정2014-12-312024-03-15
23경기도가평군가평읍개곡리산97임37.878512127.574272971토석류A지정2014-12-312024-03-15
34경기도가평군가평읍개곡리산94임37.878422127.5720311612토석류A지정2014-12-312024-03-15
45경기도가평군가평읍개곡리308-2전37.874452127.5630861999토석류A지정2015-06-302024-03-15
56경기도가평군가평읍개곡리349전37.869365127.5544431674토석류A지정2015-06-302024-03-15
67경기도가평군가평읍개곡리552-3전37.869494127.5503851662토석류A지정2015-06-302024-03-15
78경기도가평군가평읍개곡리562-1전37.869921127.5490751635토석류A지정2015-06-302024-03-15
89경기도가평군가평읍개곡리산110-1임37.878365127.5786361630토석류A지정2017-06-282024-03-15
910경기도가평군가평읍경반리산138-137.835136127.467511191산사태B지정2020-06-302024-03-15
연번시도시군구읍면동리지번위도경도편입면적(제곱미터)취약지역유형등급지정해제구분지정일자데이터기준일자
294295경기도가평군청평면호명리산48-8 임37.736821127.4749532922토석류A지정2015-06-302024-03-15
295296경기도가평군청평면호명리산43-9 임37.734086127.471955100토석류A지정2015-09-222024-03-15
296297경기도가평군청평면호명리산42임37.733285127.4741952436토석류B지정2015-09-222024-03-15
297298경기도가평군청평면호명리산80임37.733297127.4687042629토석류B지정2015-06-302024-03-15
298299경기도가평군청평면호명리105-6 임37.728094127.4699442145토석류B지정2015-06-302024-03-15
299300경기도가평군청평면호명리산67임37.740975127.4688992833토석류A지정2014-12-312024-03-15
300301경기도가평군청평면호명리143-5 임37.725829127.45722742토석류B지정2015-09-222024-03-15
301302경기도가평군청평면호명리산2-30 임37.709987127.468666791산사태B지정2019-06-242024-03-15
302303경기도가평군청평면고성리산205임37.712099127.481592974토석류B지정2016-06-292024-03-15
303304경기도가평군청평면호명리381-2임37.719341127.445437262토석류A지정2023-10-192024-03-15