Overview

Dataset statistics

Number of variables11
Number of observations88
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 KiB
Average record size in memory91.5 B

Variable types

Numeric2
Categorical3
Text4
DateTime2

Dataset

Description충청남도 채석신고허가 정보((수허가자 상호, 허가지 주소(상세 주소 전부),. 채석용도(쇄골재용, 토목용 등), 허가면적, 허가량,. 허가시작일, 허가종료일)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=401&beforeMenuCd=DOM_000000201001001000&publicdatapk=15032202

Alerts

면적(천 제곱미터) is highly overall correlated with 토석구분High correlation
토석구분 is highly overall correlated with 면적(천 제곱미터) and 1 other fieldsHigh correlation
용도 is highly overall correlated with 토석구분High correlation
주된행정처분 is highly imbalanced (53.0%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:08:50.729751
Analysis finished2024-01-09 20:08:53.004705
Duration2.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.5
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-01-10T05:08:53.092140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.35
Q122.75
median44.5
Q366.25
95-th percentile83.65
Maximum88
Range87
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation25.547342
Coefficient of variation (CV)0.57409757
Kurtosis-1.2
Mean44.5
Median Absolute Deviation (MAD)22
Skewness0
Sum3916
Variance652.66667
MonotonicityStrictly increasing
2024-01-10T05:08:53.241138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
46 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
Other values (78) 78
88.6%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%
79 1
1.1%

토석구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
석재
46 
토사
41 
토석
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
석재 46
52.3%
토사 41
46.6%
토석 1
 
1.1%

Length

2024-01-10T05:08:53.390634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:08:53.499178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
석재 46
52.3%
토사 41
46.6%
토석 1
 
1.1%

주된행정처분
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size836.0 B
허가
64 
부수적 토석
17 
채석
 
4
부수적토석
 
1
협의
 
1

Length

Max length6
Median length2
Mean length2.8068182
Min length2

Unique

Unique3 ?
Unique (%)3.4%

Sample

1st row부수적토석
2nd row부수적 토석
3rd row부수적 토석
4th row부수적 토석
5th row부수적 토석

Common Values

ValueCountFrequency (%)
허가 64
72.7%
부수적 토석 17
 
19.3%
채석 4
 
4.5%
부수적토석 1
 
1.1%
협의 1
 
1.1%
신고 1
 
1.1%

Length

2024-01-10T05:08:53.643254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:08:53.789176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
허가 64
61.0%
부수적 17
 
16.2%
토석 17
 
16.2%
채석 4
 
3.8%
부수적토석 1
 
1.0%
협의 1
 
1.0%
신고 1
 
1.0%

소재지
Text

Distinct77
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-01-10T05:08:54.160648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length11.011364
Min length7

Characters and Unicode

Total characters969
Distinct characters126
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)79.5%

Sample

1st row천안시 동남구 구성동
2nd row천안시 서북구 입장면 용정리
3rd row천안시 서북구 성거읍 오목리
4th row천안시 동남구 목천읍 응원리
5th row천안시 동남구 목천읍 소사리
ValueCountFrequency (%)
보령시 12
 
4.5%
금산군 11
 
4.2%
서산시 10
 
3.8%
천안시 8
 
3.0%
웅천읍 8
 
3.0%
태안군 8
 
3.0%
부여군 8
 
3.0%
당진시 7
 
2.6%
평리 6
 
2.3%
서북구 5
 
1.9%
Other values (135) 182
68.7%
2024-01-10T05:08:54.783746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
18.6%
리 86
 
8.9%
면 67
 
6.9%
시 51
 
5.3%
산 50
 
5.2%
군 39
 
4.0%
천 27
 
2.8%
서 21
 
2.2%
성 18
 
1.9%
안 18
 
1.9%
Other values (116) 412
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 789
81.4%
Space Separator 180
 
18.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 86
 
10.9%
면 67
 
8.5%
시 51
 
6.5%
산 50
 
6.3%
군 39
 
4.9%
천 27
 
3.4%
서 21
 
2.7%
성 18
 
2.3%
안 18
 
2.3%
부 17
 
2.2%
Other values (115) 395
50.1%
Space Separator
ValueCountFrequency (%)
180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 789
81.4%
Common 180
 
18.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 86
 
10.9%
면 67
 
8.5%
시 51
 
6.5%
산 50
 
6.3%
군 39
 
4.9%
천 27
 
3.4%
서 21
 
2.7%
성 18
 
2.3%
안 18
 
2.3%
부 17
 
2.2%
Other values (115) 395
50.1%
Common
ValueCountFrequency (%)
180
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 789
81.4%
ASCII 180
 
18.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
100.0%
Hangul
ValueCountFrequency (%)
리 86
 
10.9%
면 67
 
8.5%
시 51
 
6.5%
산 50
 
6.3%
군 39
 
4.9%
천 27
 
3.4%
서 21
 
2.7%
성 18
 
2.3%
안 18
 
2.3%
부 17
 
2.2%
Other values (115) 395
50.1%

지번
Text

Distinct85
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-01-10T05:08:55.128474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.9204545
Min length2

Characters and Unicode

Total characters433
Distinct characters19
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)93.2%

Sample

1st row1-225
2nd row산16-1
3rd row산22-1
4th row166-1
5th row187-13
ValueCountFrequency (%)
산71 2
 
2.2%
산2-1 2
 
2.2%
산59 2
 
2.2%
889-5 1
 
1.1%
17일 1
 
1.1%
산100-1 1
 
1.1%
775-2 1
 
1.1%
363-16 1
 
1.1%
산14-1 1
 
1.1%
산5-2 1
 
1.1%
Other values (79) 79
85.9%
2024-01-10T05:08:55.632677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 78
18.0%
- 65
15.0%
산 58
13.4%
2 41
9.5%
6 29
 
6.7%
4 28
 
6.5%
3 23
 
5.3%
7 22
 
5.1%
5 21
 
4.8%
8 19
 
4.4%
Other values (9) 49
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 292
67.4%
Other Letter 66
 
15.2%
Dash Punctuation 65
 
15.0%
Space Separator 4
 
0.9%
Lowercase Letter 4
 
0.9%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 78
26.7%
2 41
14.0%
6 29
 
9.9%
4 28
 
9.6%
3 23
 
7.9%
7 22
 
7.5%
5 21
 
7.2%
8 19
 
6.5%
0 17
 
5.8%
9 14
 
4.8%
Other Letter
ValueCountFrequency (%)
산 58
87.9%
월 4
 
6.1%
일 4
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
n 2
50.0%
u 1
25.0%
a 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Uppercase Letter
ValueCountFrequency (%)
J 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 361
83.4%
Hangul 66
 
15.2%
Latin 6
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 78
21.6%
- 65
18.0%
2 41
11.4%
6 29
 
8.0%
4 28
 
7.8%
3 23
 
6.4%
7 22
 
6.1%
5 21
 
5.8%
8 19
 
5.3%
0 17
 
4.7%
Other values (2) 18
 
5.0%
Latin
ValueCountFrequency (%)
J 2
33.3%
n 2
33.3%
u 1
16.7%
a 1
16.7%
Hangul
ValueCountFrequency (%)
산 58
87.9%
월 4
 
6.1%
일 4
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 367
84.8%
Hangul 66
 
15.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 78
21.3%
- 65
17.7%
2 41
11.2%
6 29
 
7.9%
4 28
 
7.6%
3 23
 
6.3%
7 22
 
6.0%
5 21
 
5.7%
8 19
 
5.2%
0 17
 
4.6%
Other values (6) 24
 
6.5%
Hangul
ValueCountFrequency (%)
산 58
87.9%
월 4
 
6.1%
일 4
 
6.1%

용도
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size836.0 B
토목용
48 
쇄골재,토목용
9 
쇄골재용
8 
토목,조경용
5 
쇄골재,토목,조경용
5 
Other values (9)
13 

Length

Max length13
Median length3
Mean length4.7727273
Min length3

Unique

Unique5 ?
Unique (%)5.7%

Sample

1st row<NA>
2nd row토목용
3rd row토목용
4th row토목용
5th row쇄골재용

Common Values

ValueCountFrequency (%)
토목용 48
54.5%
쇄골재,토목용 9
 
10.2%
쇄골재용 8
 
9.1%
토목,조경용 5
 
5.7%
쇄골재,토목,조경용 5
 
5.7%
쇄골재토목용 2
 
2.3%
토목조경공예용 2
 
2.3%
토목,조경,공예용 2
 
2.3%
쇄골재,조경,토목용 2
 
2.3%
<NA> 1
 
1.1%
Other values (4) 4
 
4.5%

Length

2024-01-10T05:08:55.785636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
토목용 49
55.7%
쇄골재,토목용 9
 
10.2%
쇄골재용 8
 
9.1%
토목,조경용 5
 
5.7%
쇄골재,토목,조경용 5
 
5.7%
쇄골재토목용 2
 
2.3%
토목조경공예용 2
 
2.3%
토목,조경,공예용 2
 
2.3%
쇄골재,조경,토목용 2
 
2.3%
na 1
 
1.1%
Other values (3) 3
 
3.4%

면적(천 제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct66
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.579545
Minimum1
Maximum343
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-01-10T05:08:55.922676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q116.75
median43.5
Q395
95-th percentile236.05
Maximum343
Range342
Interquartile range (IQR)78.25

Descriptive statistics

Standard deviation80.311995
Coefficient of variation (CV)1.0487395
Kurtosis1.2523658
Mean76.579545
Median Absolute Deviation (MAD)36.5
Skewness1.3930823
Sum6739
Variance6450.0166
MonotonicityNot monotonic
2024-01-10T05:08:56.091635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 4
 
4.5%
18 3
 
3.4%
5 3
 
3.4%
3 3
 
3.4%
14 3
 
3.4%
29 3
 
3.4%
84 2
 
2.3%
88 2
 
2.3%
21 2
 
2.3%
20 2
 
2.3%
Other values (56) 61
69.3%
ValueCountFrequency (%)
1 1
 
1.1%
2 1
 
1.1%
3 3
3.4%
4 1
 
1.1%
5 3
3.4%
7 2
2.3%
12 2
2.3%
13 1
 
1.1%
14 3
3.4%
15 1
 
1.1%
ValueCountFrequency (%)
343 1
1.1%
291 1
1.1%
290 1
1.1%
275 1
1.1%
242 1
1.1%
225 1
1.1%
215 2
2.3%
209 1
1.1%
208 1
1.1%
196 1
1.1%

수량(천 제곱미터)
Text

Distinct87
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-01-10T05:08:56.367728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.3863636
Min length1

Characters and Unicode

Total characters298
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)97.7%

Sample

1st row193
2nd row84
3rd row445
4th row994
5th row75
ValueCountFrequency (%)
15 2
 
2.3%
6 1
 
1.1%
17 1
 
1.1%
1,322 1
 
1.1%
53 1
 
1.1%
2,017 1
 
1.1%
257 1
 
1.1%
2,894 1
 
1.1%
10,124 1
 
1.1%
27 1
 
1.1%
Other values (77) 77
87.5%
2024-01-10T05:08:56.847358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 44
14.8%
2 40
13.4%
, 32
10.7%
4 28
9.4%
6 26
8.7%
3 24
8.1%
9 24
8.1%
5 23
7.7%
7 20
6.7%
8 19
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 266
89.3%
Other Punctuation 32
 
10.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 44
16.5%
2 40
15.0%
4 28
10.5%
6 26
9.8%
3 24
9.0%
9 24
9.0%
5 23
8.6%
7 20
7.5%
8 19
7.1%
0 18
6.8%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 298
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 44
14.8%
2 40
13.4%
, 32
10.7%
4 28
9.4%
6 26
8.7%
3 24
8.1%
9 24
8.1%
5 23
7.7%
7 20
6.7%
8 19
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 298
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 44
14.8%
2 40
13.4%
, 32
10.7%
4 28
9.4%
6 26
8.7%
3 24
8.1%
9 24
8.1%
5 23
7.7%
7 20
6.7%
8 19
6.4%

허가일
Date

Distinct85
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum1998-07-15 00:00:00
Maximum2021-12-23 00:00:00
2024-01-10T05:08:57.016337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:08:57.194281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

만료일
Date

Distinct49
Distinct (%)55.7%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum2020-10-31 00:00:00
Maximum2030-12-31 00:00:00
2024-01-10T05:08:57.351642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:08:57.514501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

수허가자
Text

Distinct82
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-01-10T05:08:57.806439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.4204545
Min length3

Characters and Unicode

Total characters477
Distinct characters145
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)86.4%

Sample

1st row교보자산신탁㈜
2nd row㈜에땅
3rd row㈜무궁화신탁
4th row천안목천지역주택조합
5th row(주)영흥산업환경
ValueCountFrequency (%)
㈜에땅 2
 
2.2%
대호개발㈜ 2
 
2.2%
태안도시공사 2
 
2.2%
보령오석개발㈜ 2
 
2.2%
최광식 2
 
2.2%
한국농어촌공사 2
 
2.2%
아시아신탁㈜ 2
 
2.2%
이스코인더스트리(유 1
 
1.1%
구부완 1
 
1.1%
교보자산신탁㈜ 1
 
1.1%
Other values (75) 75
81.5%
2024-01-10T05:08:58.228541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 53
 
11.1%
산 25
 
5.2%
개 19
 
4.0%
발 19
 
4.0%
업 18
 
3.8%
한 10
 
2.1%
사 9
 
1.9%
스 9
 
1.9%
아 9
 
1.9%
석 8
 
1.7%
Other values (135) 298
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 406
85.1%
Other Symbol 53
 
11.1%
Open Punctuation 6
 
1.3%
Close Punctuation 6
 
1.3%
Space Separator 4
 
0.8%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 25
 
6.2%
개 19
 
4.7%
발 19
 
4.7%
업 18
 
4.4%
한 10
 
2.5%
사 9
 
2.2%
스 9
 
2.2%
아 9
 
2.2%
석 8
 
2.0%
이 8
 
2.0%
Other values (130) 272
67.0%
Other Symbol
ValueCountFrequency (%)
㈜ 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
0 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
96.2%
Common 18
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 53
 
11.5%
산 25
 
5.4%
개 19
 
4.1%
발 19
 
4.1%
업 18
 
3.9%
한 10
 
2.2%
사 9
 
2.0%
스 9
 
2.0%
아 9
 
2.0%
석 8
 
1.7%
Other values (131) 280
61.0%
Common
ValueCountFrequency (%)
( 6
33.3%
) 6
33.3%
4
22.2%
0 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 406
85.1%
None 53
 
11.1%
ASCII 18
 
3.8%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 53
100.0%
Hangul
ValueCountFrequency (%)
산 25
 
6.2%
개 19
 
4.7%
발 19
 
4.7%
업 18
 
4.4%
한 10
 
2.5%
사 9
 
2.2%
스 9
 
2.2%
아 9
 
2.2%
석 8
 
2.0%
이 8
 
2.0%
Other values (130) 272
67.0%
ASCII
ValueCountFrequency (%)
( 6
33.3%
) 6
33.3%
4
22.2%
0 2
 
11.1%

Interactions

2024-01-10T05:08:52.456701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:08:52.250835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:08:52.557648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:08:52.345017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:08:58.342063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호토석구분주된행정처분소재지지번용도면적(천 제곱미터)수량(천 제곱미터)허가일만료일수허가자
번호1.0000.4240.4150.9380.7840.4560.4421.0000.9850.5150.910
토석구분0.4241.0000.6511.0000.0000.7490.7510.9070.9710.9021.000
주된행정처분0.4150.6511.0000.8160.8150.4920.1541.0000.0000.7410.000
소재지0.9381.0000.8161.0000.9940.0000.9610.9940.9840.0000.996
지번0.7840.0000.8150.9941.0000.8810.0000.9960.9910.9670.974
용도0.4560.7490.4920.0000.8811.0000.7331.0000.9660.9230.873
면적(천 제곱미터)0.4420.7510.1540.9610.0000.7331.0001.0000.9930.0000.995
수량(천 제곱미터)1.0000.9071.0000.9940.9961.0001.0001.0000.9960.9820.996
허가일0.9850.9710.0000.9840.9910.9660.9930.9961.0000.0000.974
만료일0.5150.9020.7410.0000.9670.9230.0000.9820.0001.0000.886
수허가자0.9101.0000.0000.9960.9740.8730.9950.9960.9740.8861.000
2024-01-10T05:08:58.948161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주된행정처분용도토석구분
주된행정처분1.0000.2760.335
용도0.2761.0000.550
토석구분0.3350.5501.000
2024-01-10T05:08:59.074154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호면적(천 제곱미터)토석구분주된행정처분용도
번호1.000-0.2400.2680.2250.199
면적(천 제곱미터)-0.2401.0000.5960.0710.404
토석구분0.2680.5961.0000.3350.550
주된행정처분0.2250.0710.3351.0000.276
용도0.1990.4040.5500.2761.000

Missing values

2024-01-10T05:08:52.723903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:08:52.927629image/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

번호토석구분주된행정처분소재지지번용도면적(천 제곱미터)수량(천 제곱미터)허가일만료일수허가자
01토사부수적토석천안시 동남구 구성동1-225<NA>331932019-08-272023-12-31교보자산신탁㈜
12토사부수적 토석천안시 서북구 입장면 용정리산16-1토목용16842020-01-272022-04-30㈜에땅
23토사부수적 토석천안시 서북구 성거읍 오목리산22-1토목용944452021-01-292022-10-31㈜무궁화신탁
34토사부수적 토석천안시 동남구 목천읍 응원리166-1토목용809942021-04-212022-12-31천안목천지역주택조합
45석재부수적 토석천안시 동남구 목천읍 소사리187-13쇄골재용30752021-01-142022-12-31(주)영흥산업환경
56토사부수적 토석천안시 서북구 입장면 용정리산12-1토목용16602021-11-172023-08-31㈜에땅
67토사부수적 토석천안시 서북구 성성동194-6토목용14882021-12-022020-12-31아시아신탁㈜
78토사부수적 토석천안시 서북구 백석동Jun-62토목용12772016-04-302022-12-31아시아신탁㈜
89석재채석공주시 우성면 방흥리산32-2쇄골재토목용1836,6342014-12-042022-08-31아세아산업
910석재채석공주시 이인면 달산리산5쇄골재토목용1374,1532018-10-112025-10-12성인산업㈜
번호토석구분주된행정처분소재지지번용도면적(천 제곱미터)수량(천 제곱미터)허가일만료일수허가자
7879토석채석예산군 대술면 시산리산71쇄골재,토목,조경용29010,8242019-04-122027-09-30㈜에스피네이처
7980토사허가태안군 남면 신온리산137-1토목용7432013-04-042022-09-30학교법인 함주학원
8081석재허가태안군 소원면 신덕리산266쇄골재용651,2672016-01-172026-10-31장전산업개발㈜
8182석재부수적 토석태안군 근흥면 정죽리산147-48토목용13102019-03-112021-12-31㈜이에스알알
8283토사허가태안군 남면 양잠리산232토목용293722019-12-242021-12-31태안도시공사
8384토사허가태안군 원북면 신두리Jan-64토목용151312020-04-162021-09-30이상현
8485석재허가태안군 태안읍 도내리605-17토목용12182020-04-162021-06-30신왕산업
8586토사허가태안군 고남면 누동리366-1토목용252392020-11-102022-05-31류승협
8687토사허가태안읍 삭선리889-5토목용16632021-06-282022-05-31박한웅
8788토사허가태안군 남면 신온리691-24토목용292872021-10-052023-06-30장00발