Overview

Dataset statistics

Number of variables11
Number of observations73
Missing cells114
Missing cells (%)14.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory91.8 B

Variable types

Numeric2
Categorical4
Text3
DateTime2

Dataset

Description거제시 지세포리, 성포리, 사등리, 소동리, 창호리에 대한 연번,시도,시군구,법정동,지번주소,건물명,연면적(미터제곱),주용도,기타용도내용,사용승인일자 등의 정보를 제공합니다
URLhttps://www.data.go.kr/data/15116504/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
기준일자 has constant value ""Constant
건물명 has 47 (64.4%) missing valuesMissing
연면적(미터제곱) has 4 (5.5%) missing valuesMissing
기타용도내용 has 13 (17.8%) missing valuesMissing
사용승인일자 has 50 (68.5%) missing valuesMissing
연번 has unique valuesUnique
지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:19:41.743217
Analysis finished2023-12-12 17:19:42.773895
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37
Minimum1
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-13T02:19:42.842223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.6
Q119
median37
Q355
95-th percentile69.4
Maximum73
Range72
Interquartile range (IQR)36

Descriptive statistics

Standard deviation21.217131
Coefficient of variation (CV)0.57343598
Kurtosis-1.2
Mean37
Median Absolute Deviation (MAD)18
Skewness0
Sum2701
Variance450.16667
MonotonicityStrictly increasing
2023-12-13T02:19:43.262270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
56 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (63) 63
86.3%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
73 1
1.4%
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
경상남도
73 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 73
100.0%

Length

2023-12-13T02:19:43.438671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:19:43.562009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 73
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
거제시
73 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
거제시 73
100.0%

Length

2023-12-13T02:19:43.748434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:19:43.895144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
거제시 73
100.0%

법정동
Categorical

Distinct5
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size716.0 B
일운면 지세포리
20 
사등면 사등리
18 
사등면 성포리
13 
사등면 창호리
13 
일운면 소동리
9 

Length

Max length8
Median length7
Mean length7.2739726
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일운면 지세포리
2nd row사등면 성포리
3rd row사등면 사등리
4th row일운면 소동리
5th row사등면 창호리

Common Values

ValueCountFrequency (%)
일운면 지세포리 20
27.4%
사등면 사등리 18
24.7%
사등면 성포리 13
17.8%
사등면 창호리 13
17.8%
일운면 소동리 9
12.3%

Length

2023-12-13T02:19:43.999952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:19:44.116880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사등면 44
30.1%
일운면 29
19.9%
지세포리 20
13.7%
사등리 18
12.3%
성포리 13
 
8.9%
창호리 13
 
8.9%
소동리 9
 
6.2%

지번주소
Text

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
2023-12-13T02:19:44.342390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length24.575342
Min length21

Characters and Unicode

Total characters1794
Distinct characters34
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)100.0%

Sample

1st row경상남도 거제시 일운면 지세포리 0883-0009
2nd row경상남도 거제시 사등면 성포리 0606
3rd row경상남도 거제시 사등면 사등리 0392-0002
4th row경상남도 거제시 일운면 소동리 0256
5th row경상남도 거제시 사등면 창호리 2820-0001
ValueCountFrequency (%)
경상남도 73
19.8%
거제시 73
19.8%
사등면 44
12.0%
일운면 29
 
7.9%
지세포리 20
 
5.4%
사등리 18
 
4.9%
성포리 13
 
3.5%
창호리 13
 
3.5%
소동리 9
 
2.4%
산 3
 
0.8%
Other values (72) 73
19.8%
2023-12-13T02:19:44.704110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
295
16.4%
0 215
 
12.0%
경 73
 
4.1%
시 73
 
4.1%
상 73
 
4.1%
리 73
 
4.1%
면 73
 
4.1%
제 73
 
4.1%
거 73
 
4.1%
도 73
 
4.1%
Other values (24) 700
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 972
54.2%
Decimal Number 480
26.8%
Space Separator 295
 
16.4%
Dash Punctuation 47
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 73
 
7.5%
시 73
 
7.5%
상 73
 
7.5%
리 73
 
7.5%
면 73
 
7.5%
제 73
 
7.5%
거 73
 
7.5%
도 73
 
7.5%
남 73
 
7.5%
사 62
 
6.4%
Other values (12) 253
26.0%
Decimal Number
ValueCountFrequency (%)
0 215
44.8%
1 58
 
12.1%
2 53
 
11.0%
8 26
 
5.4%
4 25
 
5.2%
9 23
 
4.8%
5 22
 
4.6%
3 22
 
4.6%
6 18
 
3.8%
7 18
 
3.8%
Space Separator
ValueCountFrequency (%)
295
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 972
54.2%
Common 822
45.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 73
 
7.5%
시 73
 
7.5%
상 73
 
7.5%
리 73
 
7.5%
면 73
 
7.5%
제 73
 
7.5%
거 73
 
7.5%
도 73
 
7.5%
남 73
 
7.5%
사 62
 
6.4%
Other values (12) 253
26.0%
Common
ValueCountFrequency (%)
295
35.9%
0 215
26.2%
1 58
 
7.1%
2 53
 
6.4%
- 47
 
5.7%
8 26
 
3.2%
4 25
 
3.0%
9 23
 
2.8%
5 22
 
2.7%
3 22
 
2.7%
Other values (2) 36
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 972
54.2%
ASCII 822
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
295
35.9%
0 215
26.2%
1 58
 
7.1%
2 53
 
6.4%
- 47
 
5.7%
8 26
 
3.2%
4 25
 
3.0%
9 23
 
2.8%
5 22
 
2.7%
3 22
 
2.7%
Other values (2) 36
 
4.4%
Hangul
ValueCountFrequency (%)
경 73
 
7.5%
시 73
 
7.5%
상 73
 
7.5%
리 73
 
7.5%
면 73
 
7.5%
제 73
 
7.5%
거 73
 
7.5%
도 73
 
7.5%
남 73
 
7.5%
사 62
 
6.4%
Other values (12) 253
26.0%

건물명
Text

MISSING 

Distinct24
Distinct (%)92.3%
Missing47
Missing (%)64.4%
Memory size716.0 B
2023-12-13T02:19:44.914503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length6.8846154
Min length4

Characters and Unicode

Total characters179
Distinct characters72
Distinct categories6 ?
Distinct scripts2 ?
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 row1동,2동
2nd row가동.나동
3rd row대명리조트거제휴양콘도미니엄
4th row성포관리소
5th row일운면사무소, 일운면복지회관
ValueCountFrequency (%)
1동,2동 2
 
6.2%
1동 2
 
6.2%
2동 2
 
6.2%
1동,2동,3동 2
 
6.2%
지세포중학교 1
 
3.1%
1,2,5동 1
 
3.1%
창호초등학교 1
 
3.1%
가동,나동 1
 
3.1%
온더썬셋 1
 
3.1%
주식회사유경씨엠공장 1
 
3.1%
Other values (18) 18
56.2%
2023-12-13T02:19:45.292018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 23
 
12.8%
, 11
 
6.1%
1 8
 
4.5%
2 8
 
4.5%
교 6
 
3.4%
6
 
3.4%
주 5
 
2.8%
학 5
 
2.8%
) 4
 
2.2%
( 4
 
2.2%
Other values (62) 99
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 131
73.2%
Decimal Number 21
 
11.7%
Other Punctuation 13
 
7.3%
Space Separator 6
 
3.4%
Close Punctuation 4
 
2.2%
Open Punctuation 4
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 23
 
17.6%
교 6
 
4.6%
주 5
 
3.8%
학 5
 
3.8%
일 4
 
3.1%
포 4
 
3.1%
중 3
 
2.3%
공 3
 
2.3%
성 3
 
2.3%
업 3
 
2.3%
Other values (52) 72
55.0%
Decimal Number
ValueCountFrequency (%)
1 8
38.1%
2 8
38.1%
3 3
 
14.3%
4 1
 
4.8%
5 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 11
84.6%
. 2
 
15.4%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 131
73.2%
Common 48
 
26.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 23
 
17.6%
교 6
 
4.6%
주 5
 
3.8%
학 5
 
3.8%
일 4
 
3.1%
포 4
 
3.1%
중 3
 
2.3%
공 3
 
2.3%
성 3
 
2.3%
업 3
 
2.3%
Other values (52) 72
55.0%
Common
ValueCountFrequency (%)
, 11
22.9%
1 8
16.7%
2 8
16.7%
6
12.5%
) 4
 
8.3%
( 4
 
8.3%
3 3
 
6.2%
. 2
 
4.2%
4 1
 
2.1%
5 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 131
73.2%
ASCII 48
 
26.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 23
 
17.6%
교 6
 
4.6%
주 5
 
3.8%
학 5
 
3.8%
일 4
 
3.1%
포 4
 
3.1%
중 3
 
2.3%
공 3
 
2.3%
성 3
 
2.3%
업 3
 
2.3%
Other values (52) 72
55.0%
ASCII
ValueCountFrequency (%)
, 11
22.9%
1 8
16.7%
2 8
16.7%
6
12.5%
) 4
 
8.3%
( 4
 
8.3%
3 3
 
6.2%
. 2
 
4.2%
4 1
 
2.1%
5 1
 
2.1%

연면적(미터제곱)
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)100.0%
Missing4
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean3851.7748
Minimum158.55
Maximum101627.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-13T02:19:45.498874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158.55
5-th percentile166.566
Q1255.96
median681.3
Q31890.79
95-th percentile7836.102
Maximum101627.42
Range101468.87
Interquartile range (IQR)1634.83

Descriptive statistics

Standard deviation14002.057
Coefficient of variation (CV)3.6352223
Kurtosis39.146811
Mean3851.7748
Median Absolute Deviation (MAD)470.36
Skewness6.1130796
Sum265772.46
Variance1.9605761 × 108
MonotonicityNot monotonic
2023-12-13T02:19:45.693102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
391.25 1
 
1.4%
560.3 1
 
1.4%
698.14 1
 
1.4%
3640.58 1
 
1.4%
176.27 1
 
1.4%
171.39 1
 
1.4%
1890.79 1
 
1.4%
309.14 1
 
1.4%
702.84 1
 
1.4%
452.9 1
 
1.4%
Other values (59) 59
80.8%
(Missing) 4
 
5.5%
ValueCountFrequency (%)
158.55 1
1.4%
160.5 1
1.4%
163.85 1
1.4%
165.65 1
1.4%
167.94 1
1.4%
171.39 1
1.4%
176.27 1
1.4%
181.62 1
1.4%
210.94 1
1.4%
219.73 1
1.4%
ValueCountFrequency (%)
101627.42 1
1.4%
59779.14 1
1.4%
9113.01 1
1.4%
7956.65 1
1.4%
7655.28 1
1.4%
6721.72 1
1.4%
5855.51 1
1.4%
5573.74 1
1.4%
4416.11 1
1.4%
4300.67 1
1.4%

주용도
Categorical

Distinct12
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
제2종근린생활시설
15 
제1종근린생활시설
11 
공장
10 
<NA>
8 
동물및식물관련시설
7 
Other values (7)
22 

Length

Max length10
Median length9
Mean length6.3424658
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제2종근린생활시설
2nd row<NA>
3rd row<NA>
4th row노유자시설
5th row동물및식물관련시설

Common Values

ValueCountFrequency (%)
제2종근린생활시설 15
20.5%
제1종근린생활시설 11
15.1%
공장 10
13.7%
<NA> 8
11.0%
동물및식물관련시설 7
9.6%
교육연구시설 6
 
8.2%
숙박시설 4
 
5.5%
창고시설 3
 
4.1%
업무시설 3
 
4.1%
노유자시설 2
 
2.7%
Other values (2) 4
 
5.5%

Length

2023-12-13T02:19:45.874895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제2종근린생활시설 15
20.5%
제1종근린생활시설 11
15.1%
공장 10
13.7%
na 8
11.0%
동물및식물관련시설 7
9.6%
교육연구시설 6
 
8.2%
숙박시설 4
 
5.5%
창고시설 3
 
4.1%
업무시설 3
 
4.1%
노유자시설 2
 
2.7%
Other values (2) 4
 
5.5%

기타용도내용
Text

MISSING 

Distinct35
Distinct (%)58.3%
Missing13
Missing (%)17.8%
Memory size716.0 B
2023-12-13T02:19:46.116152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length6.75
Min length2

Characters and Unicode

Total characters405
Distinct characters67
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)38.3%

Sample

1st row제2종근린생활시설
2nd row단독주택
3rd row동물관련시설
4th row종교시설
5th row숙박시설
ValueCountFrequency (%)
공장 8
 
11.4%
단독주택 5
 
7.1%
제2종근린생활시설 5
 
7.1%
창고시설 4
 
5.7%
근린생활시설 4
 
5.7%
제1종근린생활시설 4
 
5.7%
교육연구시설 4
 
5.7%
숙박시설 3
 
4.3%
외1 2
 
2.9%
사무실 2
 
2.9%
Other values (24) 29
41.4%
2023-12-13T02:19:46.633962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 43
 
10.6%
설 43
 
10.6%
활 17
 
4.2%
근 17
 
4.2%
린 17
 
4.2%
생 17
 
4.2%
종 14
 
3.5%
제 13
 
3.2%
공 11
 
2.7%
10
 
2.5%
Other values (57) 203
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 365
90.1%
Decimal Number 15
 
3.7%
Space Separator 10
 
2.5%
Other Punctuation 7
 
1.7%
Open Punctuation 4
 
1.0%
Close Punctuation 4
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 43
 
11.8%
설 43
 
11.8%
활 17
 
4.7%
근 17
 
4.7%
린 17
 
4.7%
생 17
 
4.7%
종 14
 
3.8%
제 13
 
3.6%
공 11
 
3.0%
장 9
 
2.5%
Other values (50) 164
44.9%
Decimal Number
ValueCountFrequency (%)
1 8
53.3%
2 7
46.7%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
. 2
 
28.6%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 365
90.1%
Common 40
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 43
 
11.8%
설 43
 
11.8%
활 17
 
4.7%
근 17
 
4.7%
린 17
 
4.7%
생 17
 
4.7%
종 14
 
3.8%
제 13
 
3.6%
공 11
 
3.0%
장 9
 
2.5%
Other values (50) 164
44.9%
Common
ValueCountFrequency (%)
10
25.0%
1 8
20.0%
2 7
17.5%
, 5
12.5%
( 4
 
10.0%
) 4
 
10.0%
. 2
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 365
90.1%
ASCII 40
 
9.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 43
 
11.8%
설 43
 
11.8%
활 17
 
4.7%
근 17
 
4.7%
린 17
 
4.7%
생 17
 
4.7%
종 14
 
3.8%
제 13
 
3.6%
공 11
 
3.0%
장 9
 
2.5%
Other values (50) 164
44.9%
ASCII
ValueCountFrequency (%)
10
25.0%
1 8
20.0%
2 7
17.5%
, 5
12.5%
( 4
 
10.0%
) 4
 
10.0%
. 2
 
5.0%

사용승인일자
Date

MISSING 

Distinct23
Distinct (%)100.0%
Missing50
Missing (%)68.5%
Memory size716.0 B
Minimum2013-01-07 00:00:00
Maximum2023-06-04 00:00:00
2023-12-13T02:19:46.778020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:19:46.940747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
Minimum2023-07-11 00:00:00
Maximum2023-07-11 00:00:00
2023-12-13T02:19:47.097022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:19:47.268291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T02:19:42.263935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:19:42.091975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:19:42.356013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:19:42.167440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:19:47.384414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번법정동지번주소건물명연면적(미터제곱)주용도기타용도내용사용승인일자
연번1.0000.0001.0000.8410.2810.0000.0001.000
법정동0.0001.0001.0000.7890.2670.6030.7781.000
지번주소1.0001.0001.0001.0001.0001.0001.0001.000
건물명0.8410.7891.0001.0001.0000.5240.7181.000
연면적(미터제곱)0.2810.2671.0001.0001.0000.1380.0001.000
주용도0.0000.6031.0000.5240.1381.0000.9941.000
기타용도내용0.0000.7781.0000.7180.0000.9941.0001.000
사용승인일자1.0001.0001.0001.0001.0001.0001.0001.000
2023-12-13T02:19:47.736130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동주용도
법정동1.0000.364
주용도0.3641.000
2023-12-13T02:19:48.031749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연면적(미터제곱)법정동주용도
연번1.000-0.0610.0000.000
연면적(미터제곱)-0.0611.0000.1810.076
법정동0.0000.1811.0000.364
주용도0.0000.0760.3641.000

Missing values

2023-12-13T02:19:42.469965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:19:42.596790image/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.
2023-12-13T02:19:42.708708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번시도시군구법정동지번주소건물명연면적(미터제곱)주용도기타용도내용사용승인일자기준일자
01경상남도거제시일운면 지세포리경상남도 거제시 일운면 지세포리 0883-0009<NA>220.5제2종근린생활시설제2종근린생활시설<NA>2023-07-11
12경상남도거제시사등면 성포리경상남도 거제시 사등면 성포리 0606<NA><NA><NA><NA><NA>2023-07-11
23경상남도거제시사등면 사등리경상남도 거제시 사등면 사등리 0392-0002<NA><NA><NA><NA><NA>2023-07-11
34경상남도거제시일운면 소동리경상남도 거제시 일운면 소동리 02561동,2동158.55노유자시설단독주택<NA>2023-07-11
45경상남도거제시사등면 창호리경상남도 거제시 사등면 창호리 2820-0001<NA>2466.03동물및식물관련시설동물관련시설<NA>2023-07-11
56경상남도거제시일운면 지세포리경상남도 거제시 일운면 지세포리 1347-0001가동.나동580.31종교시설종교시설<NA>2023-07-11
67경상남도거제시사등면 성포리경상남도 거제시 사등면 성포리 0021-0022<NA>6721.72공장<NA>2013-01-072023-07-11
78경상남도거제시일운면 소동리경상남도 거제시 일운면 소동리 0115대명리조트거제휴양콘도미니엄101627.42숙박시설숙박시설2013-06-012023-07-11
89경상남도거제시사등면 성포리경상남도 거제시 사등면 성포리 0198-0003성포관리소181.62제1종근린생활시설제1종근린생활시설2015-08-192023-07-11
910경상남도거제시사등면 사등리경상남도 거제시 사등면 사등리 0070-0001<NA>631.9위험물저장및처리시설<NA><NA>2023-07-11
연번시도시군구법정동지번주소건물명연면적(미터제곱)주용도기타용도내용사용승인일자기준일자
6364경상남도거제시일운면 지세포리경상남도 거제시 일운면 지세포리 0051<NA>606.84창고시설창고시설<NA>2023-07-11
6465경상남도거제시사등면 사등리경상남도 거제시 사등면 사등리 2282-0001<NA>160.5위험물저장및처리시설액화석유가스판매소2023-06-042023-07-11
6566경상남도거제시사등면 사등리경상남도 거제시 사등면 사등리 2055-0002<NA>5573.74공장공장<NA>2023-07-11
6667경상남도거제시일운면 지세포리경상남도 거제시 일운면 지세포리 0782-0002<NA>1833.32업무시설금융업소2020-03-132023-07-11
6768경상남도거제시사등면 사등리경상남도 거제시 사등면 사등리 0001-0005<NA>1762.66공장공장<NA>2023-07-11
6869경상남도거제시일운면 지세포리경상남도 거제시 일운면 지세포리 0950-00011동,2동,3동1166.57종교시설종교시설<NA>2023-07-11
6970경상남도거제시일운면 지세포리경상남도 거제시 일운면 지세포리 0929-00141,2,5동243.29제2종근린생활시설사무실<NA>2023-07-11
7071경상남도거제시사등면 성포리경상남도 거제시 사등면 성포리 0196<NA>535.14제1종근린생활시설제1종근린생활시설2018-05-242023-07-11
7172경상남도거제시일운면 지세포리경상남도 거제시 일운면 지세포리 0745-0001일운초등학교7655.28교육연구시설교육연구및복지시설<NA>2023-07-11
7273경상남도거제시사등면 사등리경상남도 거제시 사등면 사등리 0653<NA>219.73<NA><NA>2016-04-142023-07-11