Overview

Dataset statistics

Number of variables11
Number of observations26
Missing cells2
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory96.1 B

Variable types

Numeric3
Categorical4
Text3
DateTime1

Dataset

Description보령시 개발행위허가정보(개발행위허가에 대한 위치, 지목, 지역, 면적, 개발행위명, 허가목적, 허가일 등을 제공합니다.)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=416&beforeMenuCd=DOM_000000201001001000&publicdatapk=15039678

Alerts

시군 has constant value ""Constant
지적(제곱미터) is highly overall correlated with 허가면적(제곱미터)High correlation
허가면적(제곱미터) is highly overall correlated with 지적(제곱미터)High correlation
읍면동 is highly overall correlated with 용도지역High correlation
용도지역 is highly overall correlated with 읍면동High correlation
리 has 2 (7.7%) missing valuesMissing
연번 has unique valuesUnique
지적(제곱미터) has unique valuesUnique
허가면적(제곱미터) has unique valuesUnique

Reproduction

Analysis started2024-01-09 23:13:40.338667
Analysis finished2024-01-09 23:13:41.638232
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-01-10T08:13:41.695433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2024-01-10T08:13:41.816185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

시군
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
보령시
26 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보령시 26
100.0%

Length

2024-01-10T08:13:41.936289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:13:42.021333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령시 26
100.0%

읍면동
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
천북면
8 
주산면
4 
주교면
3 
남포면
2 
웅천읍
2 
Other values (6)
7 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique5 ?
Unique (%)19.2%

Sample

1st row천북면
2nd row천북면
3rd row남포면
4th row주교면
5th row주산면

Common Values

ValueCountFrequency (%)
천북면 8
30.8%
주산면 4
15.4%
주교면 3
 
11.5%
남포면 2
 
7.7%
웅천읍 2
 
7.7%
성주면 2
 
7.7%
오천면 1
 
3.8%
대천동 1
 
3.8%
주포면 1
 
3.8%
화산동 1
 
3.8%

Length

2024-01-10T08:13:42.103641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
천북면 8
30.8%
주산면 4
15.4%
주교면 3
 
11.5%
남포면 2
 
7.7%
웅천읍 2
 
7.7%
성주면 2
 
7.7%
오천면 1
 
3.8%
대천동 1
 
3.8%
주포면 1
 
3.8%
화산동 1
 
3.8%

리
Text

MISSING 

Distinct18
Distinct (%)75.0%
Missing2
Missing (%)7.7%
Memory size340.0 B
2024-01-10T08:13:42.241090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9583333
Min length2

Characters and Unicode

Total characters71
Distinct characters29
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

Unique13 ?
Unique (%)54.2%

Sample

1st row신죽리
2nd row학성리
3rd row양항리
4th row주교리
5th row창암리
ValueCountFrequency (%)
학성리 3
 
12.5%
창암리 2
 
8.3%
증산리 2
 
8.3%
양항리 2
 
8.3%
주교리 2
 
8.3%
성동리 1
 
4.2%
신죽리 1
 
4.2%
성주리 1
 
4.2%
개화리 1
 
4.2%
사호리 1
 
4.2%
Other values (8) 8
33.3%
2024-01-10T08:13:42.510376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 24
33.8%
성 6
 
8.5%
학 4
 
5.6%
주 3
 
4.2%
교 3
 
4.2%
산 2
 
2.8%
동 2
 
2.8%
양 2
 
2.8%
항 2
 
2.8%
증 2
 
2.8%
Other values (19) 21
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 24
33.8%
성 6
 
8.5%
학 4
 
5.6%
주 3
 
4.2%
교 3
 
4.2%
산 2
 
2.8%
동 2
 
2.8%
양 2
 
2.8%
항 2
 
2.8%
증 2
 
2.8%
Other values (19) 21
29.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 24
33.8%
성 6
 
8.5%
학 4
 
5.6%
주 3
 
4.2%
교 3
 
4.2%
산 2
 
2.8%
동 2
 
2.8%
양 2
 
2.8%
항 2
 
2.8%
증 2
 
2.8%
Other values (19) 21
29.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 24
33.8%
성 6
 
8.5%
학 4
 
5.6%
주 3
 
4.2%
교 3
 
4.2%
산 2
 
2.8%
동 2
 
2.8%
양 2
 
2.8%
항 2
 
2.8%
증 2
 
2.8%
Other values (19) 21
29.6%

번지
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-10T08:13:42.685961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.8076923
Min length5

Characters and Unicode

Total characters177
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)92.3%

Sample

1st row891-1번지
2nd row742-1번지
3rd row1129-12번지
4th row1537번지
5th row3-13번지
ValueCountFrequency (%)
742-1번지 2
 
7.7%
891-1번지 1
 
3.8%
7-98번지 1
 
3.8%
산70-15번지 1
 
3.8%
산70번지 1
 
3.8%
642-8번지 1
 
3.8%
514-6번지 1
 
3.8%
산33-1번지 1
 
3.8%
산169-1번지 1
 
3.8%
산159-13번지 1
 
3.8%
Other values (15) 15
57.7%
2024-01-10T08:13:42.993195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 27
15.3%
번 26
14.7%
지 26
14.7%
- 22
12.4%
2 12
6.8%
3 12
6.8%
6 9
 
5.1%
7 8
 
4.5%
4 8
 
4.5%
산 7
 
4.0%
Other values (4) 20
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 96
54.2%
Other Letter 59
33.3%
Dash Punctuation 22
 
12.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 27
28.1%
2 12
12.5%
3 12
12.5%
6 9
 
9.4%
7 8
 
8.3%
4 8
 
8.3%
5 6
 
6.2%
9 6
 
6.2%
8 6
 
6.2%
0 2
 
2.1%
Other Letter
ValueCountFrequency (%)
번 26
44.1%
지 26
44.1%
산 7
 
11.9%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 118
66.7%
Hangul 59
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 27
22.9%
- 22
18.6%
2 12
10.2%
3 12
10.2%
6 9
 
7.6%
7 8
 
6.8%
4 8
 
6.8%
5 6
 
5.1%
9 6
 
5.1%
8 6
 
5.1%
Hangul
ValueCountFrequency (%)
번 26
44.1%
지 26
44.1%
산 7
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 118
66.7%
Hangul 59
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 27
22.9%
- 22
18.6%
2 12
10.2%
3 12
10.2%
6 9
 
7.6%
7 8
 
6.8%
4 8
 
6.8%
5 6
 
5.1%
9 6
 
5.1%
8 6
 
5.1%
Hangul
ValueCountFrequency (%)
번 26
44.1%
지 26
44.1%
산 7
 
11.9%

지목
Categorical

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
답
6 
임
6 
전+답
4 
전
2 
임+전
2 
Other values (6)
6 

Length

Max length9
Median length1
Mean length2
Min length1

Unique

Unique6 ?
Unique (%)23.1%

Sample

1st row답
2nd row전+답
3rd row답
4th row답
5th row전+답

Common Values

ValueCountFrequency (%)
답 6
23.1%
임 6
23.1%
전+답 4
15.4%
전 2
 
7.7%
임+전 2
 
7.7%
잡+임 1
 
3.8%
전+과 1
 
3.8%
과+전+임+창+잡 1
 
3.8%
천 1
 
3.8%
임+잡 1
 
3.8%

Length

2024-01-10T08:13:43.120557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
답 6
23.1%
임 6
23.1%
전+답 4
15.4%
전 2
 
7.7%
임+전 2
 
7.7%
잡+임 1
 
3.8%
전+과 1
 
3.8%
과+전+임+창+잡 1
 
3.8%
천 1
 
3.8%
임+잡 1
 
3.8%

지적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17890.308
Minimum543
Maximum64872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-01-10T08:13:43.223813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum543
5-th percentile1180
Q13414.5
median6956.5
Q334505.5
95-th percentile51710.75
Maximum64872
Range64329
Interquartile range (IQR)31091

Descriptive statistics

Standard deviation19482.64
Coefficient of variation (CV)1.0890053
Kurtosis-0.18637704
Mean17890.308
Median Absolute Deviation (MAD)5694.5
Skewness1.0597588
Sum465148
Variance3.7957326 × 108
MonotonicityNot monotonic
2024-01-10T08:13:43.328445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
7203 1
 
3.8%
14808 1
 
3.8%
1098 1
 
3.8%
21264 1
 
3.8%
52159 1
 
3.8%
2093 1
 
3.8%
39005 1
 
3.8%
38626 1
 
3.8%
39414 1
 
3.8%
22144 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
543 1
3.8%
1098 1
3.8%
1426 1
3.8%
1835 1
3.8%
2093 1
3.8%
2552 1
3.8%
3233 1
3.8%
3959 1
3.8%
4215 1
3.8%
5107 1
3.8%
ValueCountFrequency (%)
64872 1
3.8%
52159 1
3.8%
50366 1
3.8%
44132 1
3.8%
39414 1
3.8%
39005 1
3.8%
38626 1
3.8%
22144 1
3.8%
21264 1
3.8%
18625 1
3.8%

용도지역
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
농림지역
7 
계획관리
6 
보전관리
5 
농림,생산관리
3 
생산관리
2 
Other values (3)
3 

Length

Max length7
Median length4
Mean length4.6153846
Min length4

Unique

Unique3 ?
Unique (%)11.5%

Sample

1st row농림지역
2nd row농림지역
3rd row농림지역
4th row농림지역
5th row보전관리

Common Values

ValueCountFrequency (%)
농림지역 7
26.9%
계획관리 6
23.1%
보전관리 5
19.2%
농림,생산관리 3
11.5%
생산관리 2
 
7.7%
준공업지역 1
 
3.8%
농림,계획관리 1
 
3.8%
계획,보전관리 1
 
3.8%

Length

2024-01-10T08:13:43.442965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:13:43.547292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농림지역 7
26.9%
계획관리 6
23.1%
보전관리 5
19.2%
농림,생산관리 3
11.5%
생산관리 2
 
7.7%
준공업지역 1
 
3.8%
농림,계획관리 1
 
3.8%
계획,보전관리 1
 
3.8%

허가면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7782.8846
Minimum99
Maximum29788
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-01-10T08:13:43.651389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile613.75
Q12207.75
median4580.5
Q37079.75
95-th percentile28790
Maximum29788
Range29689
Interquartile range (IQR)4872

Descriptive statistics

Standard deviation9221.0393
Coefficient of variation (CV)1.1847843
Kurtosis1.5660999
Mean7782.8846
Median Absolute Deviation (MAD)2555
Skewness1.6993632
Sum202355
Variance85027565
MonotonicityNot monotonic
2024-01-10T08:13:43.759201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
7203 1
 
3.8%
5346 1
 
3.8%
1098 1
 
3.8%
13351 1
 
3.8%
8597 1
 
3.8%
2093 1
 
3.8%
29788 1
 
3.8%
3660 1
 
3.8%
24857 1
 
3.8%
4889 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
99 1
3.8%
543 1
3.8%
826 1
3.8%
1051 1
3.8%
1098 1
3.8%
1105 1
3.8%
2093 1
3.8%
2552 1
3.8%
3660 1
3.8%
3959 1
3.8%
ValueCountFrequency (%)
29788 1
3.8%
29131 1
3.8%
27767 1
3.8%
24857 1
3.8%
13351 1
3.8%
8597 1
3.8%
7203 1
3.8%
6710 1
3.8%
5494 1
3.8%
5346 1
3.8%

허가일자
Date

Distinct18
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2019-03-06 00:00:00
Maximum2019-04-30 00:00:00
2024-01-10T08:13:43.861020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:13:43.962772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

허가내용
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-10T08:13:44.177969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19.5
Mean length14.576923
Min length3

Characters and Unicode

Total characters379
Distinct characters104
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)84.6%

Sample

1st row가축분뇨 공동자원화시설 증설
2nd row양식장부대시설(친환경 히트펌프실) 부지조성
3rd row규사광산개발(토석채취)
4th row성토 후 우량농지조성
5th row발전시설(태양광발전)부지조성
ValueCountFrequency (%)
및 6
 
9.4%
부지조성 6
 
9.4%
조성 4
 
6.2%
발전시설(태양광발전)부지조성 3
 
4.7%
태양광발전소 3
 
4.7%
진출입로 2
 
3.1%
버섯재배사 2
 
3.1%
발전시설(태양광발전시설 2
 
3.1%
진입로 1
 
1.6%
발전시설(태양광발전소 1
 
1.6%
Other values (34) 34
53.1%
2024-01-10T08:13:44.498613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
 
10.0%
발 16
 
4.2%
성 16
 
4.2%
지 16
 
4.2%
전 16
 
4.2%
조 15
 
4.0%
설 15
 
4.0%
( 14
 
3.7%
) 14
 
3.7%
양 13
 
3.4%
Other values (94) 206
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 306
80.7%
Space Separator 38
 
10.0%
Open Punctuation 14
 
3.7%
Close Punctuation 14
 
3.7%
Decimal Number 3
 
0.8%
Other Punctuation 2
 
0.5%
Math Symbol 1
 
0.3%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
발 16
 
5.2%
성 16
 
5.2%
지 16
 
5.2%
전 16
 
5.2%
조 15
 
4.9%
설 15
 
4.9%
양 13
 
4.2%
부 12
 
3.9%
시 12
 
3.9%
광 11
 
3.6%
Other values (86) 164
53.6%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 306
80.7%
Common 72
 
19.0%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
발 16
 
5.2%
성 16
 
5.2%
지 16
 
5.2%
전 16
 
5.2%
조 15
 
4.9%
설 15
 
4.9%
양 13
 
4.2%
부 12
 
3.9%
시 12
 
3.9%
광 11
 
3.6%
Other values (86) 164
53.6%
Common
ValueCountFrequency (%)
38
52.8%
( 14
 
19.4%
) 14
 
19.4%
1 2
 
2.8%
, 2
 
2.8%
3 1
 
1.4%
~ 1
 
1.4%
Latin
ValueCountFrequency (%)
L 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 306
80.7%
ASCII 73
 
19.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38
52.1%
( 14
 
19.2%
) 14
 
19.2%
1 2
 
2.7%
, 2
 
2.7%
3 1
 
1.4%
~ 1
 
1.4%
L 1
 
1.4%
Hangul
ValueCountFrequency (%)
발 16
 
5.2%
성 16
 
5.2%
지 16
 
5.2%
전 16
 
5.2%
조 15
 
4.9%
설 15
 
4.9%
양 13
 
4.2%
부 12
 
3.9%
시 12
 
3.9%
광 11
 
3.6%
Other values (86) 164
53.6%

Interactions

2024-01-10T08:13:41.171633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:13:40.730248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:13:40.949537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:13:41.247669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:13:40.802763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:13:41.020271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:13:41.324488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:13:40.873455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:13:41.096944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T08:13:44.590841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면동리번지지목지적(제곱미터)용도지역허가면적(제곱미터)허가일자허가내용
연번1.0000.3150.8090.9470.7160.4810.6230.0000.9640.955
읍면동0.3151.0001.0001.0000.7990.1990.8390.0000.9531.000
리0.8091.0001.0001.0000.9470.9150.9860.7760.9201.000
번지0.9471.0001.0001.0001.0001.0001.0000.9630.9760.962
지목0.7160.7990.9471.0001.0000.6930.6040.0000.9180.938
지적(제곱미터)0.4810.1990.9151.0000.6931.0000.6780.7650.0000.801
용도지역0.6230.8390.9861.0000.6040.6781.0000.2310.9131.000
허가면적(제곱미터)0.0000.0000.7760.9630.0000.7650.2311.0000.0000.000
허가일자0.9640.9530.9200.9760.9180.0000.9130.0001.0001.000
허가내용0.9551.0001.0000.9620.9380.8011.0000.0001.0001.000
2024-01-10T08:13:44.699269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
용도지역읍면동지목
용도지역1.0000.5410.277
읍면동0.5411.0000.321
지목0.2770.3211.000
2024-01-10T08:13:44.782785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지적(제곱미터)허가면적(제곱미터)읍면동지목용도지역
연번1.0000.3270.2980.2320.3530.240
지적(제곱미터)0.3271.0000.8060.1090.3120.382
허가면적(제곱미터)0.2980.8061.0000.0000.0000.046
읍면동0.2320.1090.0001.0000.3210.541
지목0.3530.3120.0000.3211.0000.277
용도지역0.2400.3820.0460.5410.2771.000

Missing values

2024-01-10T08:13:41.444937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:13:41.582559image/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

연번시군읍면동리번지지목지적(제곱미터)용도지역허가면적(제곱미터)허가일자허가내용
01보령시천북면신죽리891-1번지답7203농림지역72032019-03-06가축분뇨 공동자원화시설 증설
12보령시천북면학성리742-1번지전+답5558농림지역8262019-03-06양식장부대시설(친환경 히트펌프실) 부지조성
23보령시남포면양항리1129-12번지답5107농림지역48512019-03-08규사광산개발(토석채취)
34보령시주교면주교리1537번지답4215농림지역42152019-03-11성토 후 우량농지조성
45보령시주산면창암리3-13번지전+답1835보전관리11052019-03-12발전시설(태양광발전)부지조성
56보령시주산면창암리1-13번지전+답3233보전관리10512019-03-12발전시설(태양광발전)부지조성
67보령시주교면송학리149-6번지잡+임543보전관리5432019-03-15제1종근생시설(마을공동작업장) 부지확장 및 콘크리트포장
78보령시남포면양항리1121-6번지답50366농림지역291312019-03-19광물(규사)채굴 및 운반로 조성
89보령시오천면교성리6-4번지전6710생산관리67102019-03-21우량농지 조성
910보령시주교면주교리813-6번지전1426계획관리992019-03-28가족자연장지 부지조성
연번시군읍면동리번지지목지적(제곱미터)용도지역허가면적(제곱미터)허가일자허가내용
1617보령시천북면학성리742-1번지전+답5403농림지역43102019-04-09양식장(해삼,넙치)
1718보령시성주면성주리127-4번지임+전18625계획관리54942019-04-09버섯재배사
1819보령시천북면장은리산159-13번지임22144계획,보전관리48892019-04-11발전시설(태양광발전)부지조성 및 진출입로
1920보령시천북면사호리산169-1번지임39414보전관리248572019-04-11보령1~3, 모건 태양광발전소 부지조성
2021보령시화산동<NA>산33-1번지임38626계획관리36602019-04-11버섯재배사 부지조성
2122보령시웅천읍성동리514-6번지과+전+임+창+잡39005농림,생산관리297882019-04-12발전시설(태양광발전소) 및 진입로
2223보령시성주면개화리642-8번지천2093계획관리20932019-04-17자연석(석재)야적장 부지조성
2324보령시주산면증산리산70번지임+잡52159농림,생산관리85972019-04-29발전시설(태양광발전시설)
2425보령시주산면증산리산70-15번지임21264농림,생산관리133512019-04-29발전시설(태양광발전시설)
2526보령시청라면향천리743번지잡1098생산관리10982019-04-30전주야적장 조성