Overview

Dataset statistics

Number of variables12
Number of observations42
Missing cells6
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory100.1 B

Variable types

Text3
Categorical7
Numeric1
DateTime1

Dataset

Description경상북도 김천시 개발행위허가 현황을 허가번호, 허가구분, 허가목적, 대지위치, 용도 지역, 허가일, 준공예정일 등의 정보를 제공합니다.
Author경상북도 김천시
URLhttps://www.data.go.kr/data/15035657/fileData.do

Alerts

기준일자 has constant value ""Constant
허가구분 is highly overall correlated with 허가목적High correlation
허가목적 is highly overall correlated with 허가구분High correlation
읍면동 is highly overall correlated with 용도지역High correlation
용도지역 is highly overall correlated with 읍면동High correlation
리 has 6 (14.3%) missing valuesMissing
신청면적 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:41:28.282478
Analysis finished2023-12-12 11:41:30.535334
Duration2.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

허가번호
Text

Distinct29
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T20:41:30.714439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.9285714
Min length6

Characters and Unicode

Total characters291
Distinct characters12
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

Unique28 ?
Unique (%)66.7%

Sample

1st row2019ㅡ7
2nd row2019ㅡ8
3rd row2019-00
4th row2019ㅡ9
5th row2019ㅡ10
ValueCountFrequency (%)
2019-00 14
33.3%
2019ㅡ7 1
 
2.4%
2019ㅡ21 1
 
2.4%
2019ㅡ33 1
 
2.4%
2019ㅡ32 1
 
2.4%
2019ㅡ31 1
 
2.4%
2019ㅡ30 1
 
2.4%
2019ㅡ29 1
 
2.4%
2019ㅡ28 1
 
2.4%
2019ㅡ27 1
 
2.4%
Other values (19) 19
45.2%
2023-12-12T20:41:31.126762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 73
25.1%
2 55
18.9%
1 55
18.9%
9 45
15.5%
ㅡ 28
 
9.6%
- 14
 
4.8%
3 8
 
2.7%
4 3
 
1.0%
7 3
 
1.0%
8 3
 
1.0%
Other values (2) 4
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 249
85.6%
Other Letter 28
 
9.6%
Dash Punctuation 14
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 73
29.3%
2 55
22.1%
1 55
22.1%
9 45
18.1%
3 8
 
3.2%
4 3
 
1.2%
7 3
 
1.2%
8 3
 
1.2%
5 2
 
0.8%
6 2
 
0.8%
Other Letter
ValueCountFrequency (%)
ㅡ 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 263
90.4%
Hangul 28
 
9.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 73
27.8%
2 55
20.9%
1 55
20.9%
9 45
17.1%
- 14
 
5.3%
3 8
 
3.0%
4 3
 
1.1%
7 3
 
1.1%
8 3
 
1.1%
5 2
 
0.8%
Hangul
ValueCountFrequency (%)
ㅡ 28
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 263
90.4%
Compat Jamo 28
 
9.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 73
27.8%
2 55
20.9%
1 55
20.9%
9 45
17.1%
- 14
 
5.3%
3 8
 
3.0%
4 3
 
1.1%
7 3
 
1.1%
8 3
 
1.1%
5 2
 
0.8%
Compat Jamo
ValueCountFrequency (%)
ㅡ 28
100.0%

허가구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size468.0 B
공작물설치
19 
형질변경
16 
공작물,형질변경
4 
토석채취
 
1
공작물
 
1

Length

Max length8
Median length6
Mean length4.8571429
Min length3

Unique

Unique3 ?
Unique (%)7.1%

Sample

1st row공작물설치
2nd row공작물설치
3rd row공작물,형질변경
4th row형질변경
5th row형질변경

Common Values

ValueCountFrequency (%)
공작물설치 19
45.2%
형질변경 16
38.1%
공작물,형질변경 4
 
9.5%
토석채취 1
 
2.4%
공작물 1
 
2.4%
토질형질변경 1
 
2.4%

Length

2023-12-12T20:41:31.312637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:41:31.510277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공작물설치 19
45.2%
형질변경 16
38.1%
공작물,형질변경 4
 
9.5%
토석채취 1
 
2.4%
공작물 1
 
2.4%
토질형질변경 1
 
2.4%

허가목적
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
태양광발전시설
7 
태양광발전시설(지붕위)
7 
태양광발전시설설치
6 
임시야적장
6 
태양광설치공사
5 
Other values (7)
11 

Length

Max length17
Median length12
Mean length7.8095238
Min length3

Unique

Unique4 ?
Unique (%)9.5%

Sample

1st row태양광발전시설설치
2nd row태양광발전시설설치
3rd row태양광설치공사
4th row임시야적장
5th row임시야적장

Common Values

ValueCountFrequency (%)
태양광발전시설 7
16.7%
태양광발전시설(지붕위) 7
16.7%
태양광발전시설설치 6
14.3%
임시야적장 6
14.3%
태양광설치공사 5
11.9%
토석채취 3
7.1%
우량농지조성 2
 
4.8%
주차장 2
 
4.8%
공장 부지조성 1
 
2.4%
동식물관련시설(축사)단독 1
 
2.4%
Other values (2) 2
 
4.8%

Length

2023-12-12T20:41:31.722403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
태양광발전시설 7
15.9%
태양광발전시설(지붕위 7
15.9%
태양광발전시설설치 6
13.6%
임시야적장 6
13.6%
태양광설치공사 5
11.4%
토석채취 3
6.8%
주차장 3
6.8%
우량농지조성 2
 
4.5%
공장 1
 
2.3%
부지조성 1
 
2.3%
Other values (3) 3
6.8%

읍면동
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
아포
6 
봉산
5 
감문
5 
개령
3 
어모
3 
Other values (15)
20 

Length

Max length4
Median length2
Mean length2.0238095
Min length1

Unique

Unique10 ?
Unique (%)23.8%

Sample

1st row대덕
2nd row아포
3rd row구성
4th row개령
5th row아포

Common Values

ValueCountFrequency (%)
아포 6
14.3%
봉산 5
11.9%
감문 5
11.9%
개령 3
 
7.1%
어모 3
 
7.1%
대항 2
 
4.8%
남 2
 
4.8%
삼락 2
 
4.8%
증산 2
 
4.8%
농소 2
 
4.8%
Other values (10) 10
23.8%

Length

2023-12-12T20:41:31.909826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아포 6
14.3%
감문 5
11.9%
봉산 5
11.9%
개령 3
 
7.1%
어모 3
 
7.1%
대항 2
 
4.8%
남 2
 
4.8%
삼락 2
 
4.8%
증산 2
 
4.8%
농소 2
 
4.8%
Other values (10) 10
23.8%

리
Text

MISSING 

Distinct31
Distinct (%)86.1%
Missing6
Missing (%)14.3%
Memory size468.0 B
2023-12-12T20:41:32.175658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2
Min length1

Characters and Unicode

Total characters72
Distinct characters43
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

Unique27 ?
Unique (%)75.0%

Sample

1st row화전
2nd row인
3rd row광명
4th row덕촌
5th row국사
ValueCountFrequency (%)
예지 3
 
8.3%
황계 2
 
5.6%
월곡 2
 
5.6%
인 2
 
5.6%
향천,복전 1
 
2.8%
덕천 1
 
2.8%
무안 1
 
2.8%
입석 1
 
2.8%
부상리 1
 
2.8%
금곡 1
 
2.8%
Other values (21) 21
58.3%
2023-12-12T20:41:32.700505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
예 4
 
5.6%
지 4
 
5.6%
부 4
 
5.6%
곡 3
 
4.2%
천 3
 
4.2%
상 3
 
4.2%
월 3
 
4.2%
촌 2
 
2.8%
향 2
 
2.8%
인 2
 
2.8%
Other values (33) 42
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71
98.6%
Other Punctuation 1
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
예 4
 
5.6%
지 4
 
5.6%
부 4
 
5.6%
곡 3
 
4.2%
천 3
 
4.2%
상 3
 
4.2%
월 3
 
4.2%
촌 2
 
2.8%
향 2
 
2.8%
인 2
 
2.8%
Other values (32) 41
57.7%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71
98.6%
Common 1
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
예 4
 
5.6%
지 4
 
5.6%
부 4
 
5.6%
곡 3
 
4.2%
천 3
 
4.2%
상 3
 
4.2%
월 3
 
4.2%
촌 2
 
2.8%
향 2
 
2.8%
인 2
 
2.8%
Other values (32) 41
57.7%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71
98.6%
ASCII 1
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
예 4
 
5.6%
지 4
 
5.6%
부 4
 
5.6%
곡 3
 
4.2%
천 3
 
4.2%
상 3
 
4.2%
월 3
 
4.2%
촌 2
 
2.8%
향 2
 
2.8%
인 2
 
2.8%
Other values (32) 41
57.7%
ASCII
ValueCountFrequency (%)
, 1
100.0%

지 번
Text

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T20:41:33.163130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34.5
Mean length26.404762
Min length20

Characters and Unicode

Total characters1109
Distinct characters82
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

Unique39 ?
Unique (%)92.9%

Sample

1st row경상북도 김천시 대덕면 화전리 산 52-3번지
2nd row경상북도 김천시 아포읍 인리 260번지
3rd row경상북도 김천시 구성면 광명리 364번지
4th row경상북도 김천시 개령면 덕촌리 546번지
5th row경상북도 김천시 아포읍 국사리 2, 3번지
ValueCountFrequency (%)
경상북도 42
 
17.6%
김천시 42
 
17.6%
아포읍 6
 
2.5%
봉산면 5
 
2.1%
감문면 5
 
2.1%
외 4
 
1.7%
예지리 3
 
1.3%
465-1번지 3
 
1.3%
어모면 3
 
1.3%
남면 3
 
1.3%
Other values (110) 122
51.3%
2023-12-12T20:41:33.780920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196
 
17.7%
지 48
 
4.3%
천 48
 
4.3%
상 45
 
4.1%
경 42
 
3.8%
북 42
 
3.8%
도 42
 
3.8%
김 42
 
3.8%
시 42
 
3.8%
2 41
 
3.7%
Other values (72) 521
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 613
55.3%
Decimal Number 241
 
21.7%
Space Separator 196
 
17.7%
Dash Punctuation 31
 
2.8%
Other Punctuation 28
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 48
 
7.8%
천 48
 
7.8%
상 45
 
7.3%
경 42
 
6.9%
북 42
 
6.9%
도 42
 
6.9%
김 42
 
6.9%
시 42
 
6.9%
번 40
 
6.5%
리 36
 
5.9%
Other values (59) 186
30.3%
Decimal Number
ValueCountFrequency (%)
2 41
17.0%
1 38
15.8%
4 28
11.6%
6 23
9.5%
5 22
9.1%
0 22
9.1%
3 18
7.5%
9 17
7.1%
8 16
 
6.6%
7 16
 
6.6%
Space Separator
ValueCountFrequency (%)
196
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 613
55.3%
Common 496
44.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 48
 
7.8%
천 48
 
7.8%
상 45
 
7.3%
경 42
 
6.9%
북 42
 
6.9%
도 42
 
6.9%
김 42
 
6.9%
시 42
 
6.9%
번 40
 
6.5%
리 36
 
5.9%
Other values (59) 186
30.3%
Common
ValueCountFrequency (%)
196
39.5%
2 41
 
8.3%
1 38
 
7.7%
- 31
 
6.2%
4 28
 
5.6%
, 28
 
5.6%
6 23
 
4.6%
5 22
 
4.4%
0 22
 
4.4%
3 18
 
3.6%
Other values (3) 49
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 613
55.3%
ASCII 496
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
196
39.5%
2 41
 
8.3%
1 38
 
7.7%
- 31
 
6.2%
4 28
 
5.6%
, 28
 
5.6%
6 23
 
4.6%
5 22
 
4.4%
0 22
 
4.4%
3 18
 
3.6%
Other values (3) 49
 
9.9%
Hangul
ValueCountFrequency (%)
지 48
 
7.8%
천 48
 
7.8%
상 45
 
7.3%
경 42
 
6.9%
북 42
 
6.9%
도 42
 
6.9%
김 42
 
6.9%
시 42
 
6.9%
번 40
 
6.5%
리 36
 
5.9%
Other values (59) 186
30.3%

지 목
Categorical

Distinct18
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
답
14 
전
7 
과
4 
임
2 
과,전
2 
Other values (13)
13 

Length

Max length11
Median length1
Mean length1.8333333
Min length1

Unique

Unique13 ?
Unique (%)31.0%

Sample

1st row임
2nd row전
3rd row임
4th row전
5th row답

Common Values

ValueCountFrequency (%)
답 14
33.3%
전 7
16.7%
과 4
 
9.5%
임 2
 
4.8%
과,전 2
 
4.8%
목 1
 
2.4%
전,과 1
 
2.4%
답,과 1
 
2.4%
창 1
 
2.4%
답전장 1
 
2.4%
Other values (8) 8
19.0%

Length

2023-12-12T20:41:34.004785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
답 14
33.3%
전 7
16.7%
과 4
 
9.5%
임 2
 
4.8%
과,전 2
 
4.8%
답,대 1
 
2.4%
전,답 1
 
2.4%
잡,대,임,도,구,천 1
 
2.4%
임,전 1
 
2.4%
전,임,목 1
 
2.4%
Other values (8) 8
19.0%

신청면적
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6032.4762
Minimum266
Maximum29900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T20:41:34.193044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum266
5-th percentile479.25
Q11293.25
median3079
Q37332
95-th percentile26571.25
Maximum29900
Range29634
Interquartile range (IQR)6038.75

Descriptive statistics

Standard deviation7871.9087
Coefficient of variation (CV)1.3049216
Kurtosis3.6918891
Mean6032.4762
Median Absolute Deviation (MAD)2343
Skewness2.1070328
Sum253364
Variance61966947
MonotonicityNot monotonic
2023-12-12T20:41:34.412920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
29900 1
 
2.4%
2036 1
 
2.4%
7002 1
 
2.4%
3093 1
 
2.4%
11448 1
 
2.4%
1975 1
 
2.4%
479 1
 
2.4%
3333 1
 
2.4%
2270 1
 
2.4%
5880 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
266 1
2.4%
465 1
2.4%
479 1
2.4%
484 1
2.4%
527 1
2.4%
542 1
2.4%
585 1
2.4%
833 1
2.4%
1092 1
2.4%
1121 1
2.4%
ValueCountFrequency (%)
29900 1
2.4%
29600 1
2.4%
26708 1
2.4%
23973 1
2.4%
15746 1
2.4%
11448 1
2.4%
11198 1
2.4%
7937 1
2.4%
7611 1
2.4%
7455 1
2.4%

용도지역
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
계획관리
16 
농림지역
8 
계획관리지역
6 
자연녹지
3 
생산관리
2 
Other values (7)
7 

Length

Max length8
Median length4
Mean length4.452381
Min length2

Unique

Unique7 ?
Unique (%)16.7%

Sample

1st row보전관리
2nd row농업진흥구역
3rd row계획관리지역
4th row계획관리
5th row자연녹지

Common Values

ValueCountFrequency (%)
계획관리 16
38.1%
농림지역 8
19.0%
계획관리지역 6
 
14.3%
자연녹지 3
 
7.1%
생산관리 2
 
4.8%
보전관리 1
 
2.4%
농업진흥구역 1
 
2.4%
도시지역 1
 
2.4%
농림 1
 
2.4%
생산, 계획관리 1
 
2.4%
Other values (2) 2
 
4.8%

Length

2023-12-12T20:41:34.656485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
계획관리 17
39.5%
농림지역 8
18.6%
계획관리지역 6
 
14.0%
자연녹지 3
 
7.0%
생산관리 2
 
4.7%
보전관리 1
 
2.3%
농업진흥구역 1
 
2.3%
도시지역 1
 
2.3%
농림 1
 
2.3%
생산 1
 
2.3%
Other values (2) 2
 
4.7%

허가일
Date

Distinct30
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2019-02-25 00:00:00
Maximum2019-06-07 00:00:00
2023-12-12T20:41:34.877988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:41:35.098611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

준공예정일
Categorical

Distinct15
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size468.0 B
2020-03-31
10 
2020-04-30
5 
2020-06-30
4 
2020-02-29
3 
2020-12-31
3 
Other values (10)
17 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique6 ?
Unique (%)14.3%

Sample

1st row2020-02-29
2nd row2020-02-29
3rd row2020-03-31
4th row2020-02-29
5th row2020-03-31

Common Values

ValueCountFrequency (%)
2020-03-31 10
23.8%
2020-04-30 5
11.9%
2020-06-30 4
 
9.5%
2020-02-29 3
 
7.1%
2020-12-31 3
 
7.1%
2019-12-31 3
 
7.1%
2020-05-30 3
 
7.1%
2020-05-31 3
 
7.1%
2019-08-30 2
 
4.8%
2020-02-28 1
 
2.4%
Other values (5) 5
11.9%

Length

2023-12-12T20:41:35.328745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-03-31 10
23.8%
2020-04-30 5
11.9%
2020-06-30 4
 
9.5%
2020-02-29 3
 
7.1%
2020-12-31 3
 
7.1%
2019-12-31 3
 
7.1%
2020-05-30 3
 
7.1%
2020-05-31 3
 
7.1%
2019-08-30 2
 
4.8%
2020-02-28 1
 
2.4%
Other values (5) 5
11.9%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
2019-06-21
42 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-06-21
2nd row2019-06-21
3rd row2019-06-21
4th row2019-06-21
5th row2019-06-21

Common Values

ValueCountFrequency (%)
2019-06-21 42
100.0%

Length

2023-12-12T20:41:35.531059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:41:35.741257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-06-21 42
100.0%

Interactions

2023-12-12T20:41:29.370211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:41:35.877161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
허가번호허가구분허가목적읍면동리지 번지 목신청면적용도지역허가일준공예정일
허가번호1.0000.0000.6150.2240.9551.0000.0000.6010.8780.0000.910
허가구분0.0001.0000.9600.2620.1001.0000.0000.0000.6120.9390.000
허가목적0.6150.9601.0000.8090.9021.0000.6490.6540.8370.9030.583
읍면동0.2240.2620.8091.0000.9811.0000.6790.6790.9170.9260.815
리0.9550.1000.9020.9811.0001.0000.9950.9540.9680.9740.960
지 번1.0001.0001.0001.0001.0001.0001.0000.9521.0001.0001.000
지 목0.0000.0000.6490.6790.9951.0001.0000.8620.2490.8750.000
신청면적0.6010.0000.6540.6790.9540.9520.8621.0000.7340.5070.116
용도지역0.8780.6120.8370.9170.9681.0000.2490.7341.0000.8860.619
허가일0.0000.9390.9030.9260.9741.0000.8750.5070.8861.0000.902
준공예정일0.9100.0000.5830.8150.9601.0000.0000.1160.6190.9021.000
2023-12-12T20:41:36.102320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
허가목적지 목읍면동용도지역준공예정일허가구분
허가목적1.0000.2220.3550.3760.2210.649
지 목0.2221.0000.2220.0000.0000.000
읍면동0.3550.2221.0000.5300.3490.000
용도지역0.3760.0000.5301.0000.2460.248
준공예정일0.2210.0000.3490.2461.0000.000
허가구분0.6490.0000.0000.2480.0001.000
2023-12-12T20:41:36.303598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신청면적허가구분허가목적읍면동지 목용도지역준공예정일
신청면적1.0000.0000.3270.2830.4790.3960.000
허가구분0.0001.0000.6490.0000.0000.2480.000
허가목적0.3270.6491.0000.3550.2220.3760.221
읍면동0.2830.0000.3551.0000.2220.5300.349
지 목0.4790.0000.2220.2221.0000.0000.000
용도지역0.3960.2480.3760.5300.0001.0000.246
준공예정일0.0000.0000.2210.3490.0000.2461.000

Missing values

2023-12-12T20:41:29.629724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:41:30.432838image/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

허가번호허가구분허가목적읍면동리지 번지 목신청면적용도지역허가일준공예정일기준일자
02019ㅡ7공작물설치태양광발전시설설치대덕화전경상북도 김천시 대덕면 화전리 산 52-3번지임29900보전관리2019-02-252020-02-292019-06-21
12019ㅡ8공작물설치태양광발전시설설치아포인경상북도 김천시 아포읍 인리 260번지전542농업진흥구역2019-02-282020-02-292019-06-21
22019-00공작물,형질변경태양광설치공사구성광명경상북도 김천시 구성면 광명리 364번지임11198계획관리지역2019-03-082020-03-312019-06-21
32019ㅡ9형질변경임시야적장개령덕촌경상북도 김천시 개령면 덕촌리 546번지전833계획관리2019-03-182020-02-292019-06-21
42019ㅡ10형질변경임시야적장아포국사경상북도 김천시 아포읍 국사리 2, 3번지답2235자연녹지2019-03-212020-03-312019-06-21
52019ㅡ11형질변경임시야적장남부상경상북도 김천시 남면 부상리 1064-1번지답5519계획관리2019-03-252020-02-282019-06-21
62019-00형질변경우량농지조성삼락<NA>경상북도 김천시 삼락동 1026-1, 1026-5번지전,과3384자연녹지2019-03-262020-03-312019-06-21
72019ㅡ12토석채취토석채취삼락<NA>경상북도 김천시 삼락동 982, 983, 984번지전3065자연녹지2019-03-252020-03-312019-06-21
82019ㅡ13형질변경임시야적장감문성촌경상북도 김천시 감문면 성촌리 170, 171번지답,과2700계획관리2019-03-272020-12-312019-06-21
92019ㅡ14공작물설치태양광발전시설설치감문구야경상북도 김천시 감문면 구야리 770번지답1092계획관리2019-03-282020-03-312019-06-21
허가번호허가구분허가목적읍면동리지 번지 목신청면적용도지역허가일준공예정일기준일자
322019ㅡ28공작물설치태양광발전시설(지붕위)양천<NA>경상북도 김천시 양천동 834-1번지전2036농림지역2019-05-282020-05-302019-06-21
332019ㅡ29공작물설치태양광발전시설(지붕위)아포예경상북도 김천시 아포읍 예리 524번지답1605농림지역2019-05-292020-05-302019-06-21
342019ㅡ30공작물설치태양광발전시설대항향천경상북도 김천시 대항면 향천리 508-1번지 외 19필지전,임,목26708생산, 계획관리2019-05-292020-05-312019-06-21
352019ㅡ31형질변경토석채취남월명경상북도 김천시 남면 월명리 676-2번지 외 2필지과,전7455농림,생산관리2019-05-292020-05-312019-06-21
362019-00공작물설치태양광발전시설어모다남경상북도 김천시 어모면 다남리 산12-5, 321-3번지임,전4458계획관리2019-05-312020-06-302019-06-21
372019ㅡ32형질변경체육시설(케이블수상스키)부지조성대항향천,복전경상북도 김천시 대항면 향천리 1567 외 24필지잡,대,임,도,구,천23973계획관리2019-06-032020-06-302019-06-21
382019ㅡ33형질변경태양광발전시설아포인경상북도 김천시 아포읍 인리 743번지답1121계획관리2019-06-032020-06-302019-06-21
392019ㅡ34형질변경제2종근생 주차장평화남산<NA>경상북도 김천시 평화동 70-45번지답484도시관리2019-06-042020-06-302019-06-21
402019-00공작물설치태양광발전시설봉산태화경상북도 김천시 봉산면 태화리 924, 925, 926, 929번지답,전29600계획관리2019-06-072020-12-312019-06-21
412019-00공작물설치태양광발전시설(지붕위)어모능치경상북도 김천시 어모면 능치리 49, 48-1, 50-4, 50-5, 50-8번지답527농림지역2019-06-072019-12-312019-06-21