Overview

Dataset statistics

Number of variables11
Number of observations62
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory94.1 B

Variable types

Numeric3
Text2
Categorical5
DateTime1

Dataset

Description경상남도 의령군 공동주택의 단지명과 도로명 주소, 층수, 동수, 세대수와 구조, 연면적, 사용승인일, 용도 정보를 제공하는 데이터 입니다.
Author경상남도 의령군
URLhttps://www.data.go.kr/data/15034270/fileData.do

Alerts

구조 has constant value ""Constant
데이터기준일 has constant value ""Constant
세대수 is highly overall correlated with 연면적(제곱미터) and 2 other fieldsHigh correlation
연면적(제곱미터) is highly overall correlated with 세대수 and 1 other fieldsHigh correlation
층수(지하-지상) is highly overall correlated with 세대수High correlation
동수 is highly overall correlated with 세대수 and 1 other fieldsHigh correlation
구분 has unique valuesUnique
위 치 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:24:37.828939
Analysis finished2023-12-12 18:24:39.719506
Duration1.89 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.5
Minimum1
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-13T03:24:39.815036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.05
Q116.25
median31.5
Q346.75
95-th percentile58.95
Maximum62
Range61
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation18.041619
Coefficient of variation (CV)0.5727498
Kurtosis-1.2
Mean31.5
Median Absolute Deviation (MAD)15.5
Skewness0
Sum1953
Variance325.5
MonotonicityStrictly increasing
2023-12-13T03:24:39.975681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
48 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (52) 52
83.9%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%
53 1
1.6%

단 지 명
Text

Distinct61
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-13T03:24:40.276418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length13
Mean length6.0967742
Min length2

Characters and Unicode

Total characters378
Distinct characters130
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)96.8%

Sample

1st row대신아파트
2nd row삼영파크
3rd row남산아파트
4th row삼영빌라
5th row우진빌라
ValueCountFrequency (%)
코오롱빌라 2
 
3.0%
cs 2
 
3.0%
우리아트빌 1
 
1.5%
덕진빌라 1
 
1.5%
청아이스턴빌(b동 1
 
1.5%
청아이스턴빌(a동 1
 
1.5%
청아이스턴빌(c동 1
 
1.5%
대륭 1
 
1.5%
아이캐슬(b동 1
 
1.5%
아이캐슬(a동 1
 
1.5%
Other values (55) 55
82.1%
2023-12-13T03:24:40.695072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
빌 33
 
8.7%
라 19
 
5.0%
동 17
 
4.5%
아 15
 
4.0%
( 11
 
2.9%
) 11
 
2.9%
이 10
 
2.6%
스 9
 
2.4%
파 9
 
2.4%
트 9
 
2.4%
Other values (120) 235
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 316
83.6%
Uppercase Letter 19
 
5.0%
Decimal Number 14
 
3.7%
Open Punctuation 11
 
2.9%
Close Punctuation 11
 
2.9%
Space Separator 5
 
1.3%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
빌 33
 
10.4%
라 19
 
6.0%
동 17
 
5.4%
아 15
 
4.7%
이 10
 
3.2%
스 9
 
2.8%
파 9
 
2.8%
트 9
 
2.8%
청 7
 
2.2%
리 6
 
1.9%
Other values (104) 182
57.6%
Uppercase Letter
ValueCountFrequency (%)
A 5
26.3%
C 3
15.8%
B 3
15.8%
K 2
 
10.5%
R 2
 
10.5%
P 2
 
10.5%
S 2
 
10.5%
Decimal Number
ValueCountFrequency (%)
1 6
42.9%
0 4
28.6%
2 2
 
14.3%
5 1
 
7.1%
3 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 315
83.3%
Common 43
 
11.4%
Latin 19
 
5.0%
Han 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
빌 33
 
10.5%
라 19
 
6.0%
동 17
 
5.4%
아 15
 
4.8%
이 10
 
3.2%
스 9
 
2.9%
파 9
 
2.9%
트 9
 
2.9%
청 7
 
2.2%
리 6
 
1.9%
Other values (103) 181
57.5%
Common
ValueCountFrequency (%)
( 11
25.6%
) 11
25.6%
1 6
14.0%
5
11.6%
0 4
 
9.3%
2 2
 
4.7%
, 2
 
4.7%
5 1
 
2.3%
3 1
 
2.3%
Latin
ValueCountFrequency (%)
A 5
26.3%
C 3
15.8%
B 3
15.8%
K 2
 
10.5%
R 2
 
10.5%
P 2
 
10.5%
S 2
 
10.5%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 315
83.3%
ASCII 62
 
16.4%
CJK 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
빌 33
 
10.5%
라 19
 
6.0%
동 17
 
5.4%
아 15
 
4.8%
이 10
 
3.2%
스 9
 
2.9%
파 9
 
2.9%
트 9
 
2.9%
청 7
 
2.2%
리 6
 
1.9%
Other values (103) 181
57.5%
ASCII
ValueCountFrequency (%)
( 11
17.7%
) 11
17.7%
1 6
9.7%
A 5
8.1%
5
8.1%
0 4
 
6.5%
C 3
 
4.8%
B 3
 
4.8%
K 2
 
3.2%
R 2
 
3.2%
Other values (6) 10
16.1%
CJK
ValueCountFrequency (%)
愛 1
100.0%

위 치
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-13T03:24:41.041672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29.5
Mean length27.258065
Min length10

Characters and Unicode

Total characters1690
Distinct characters53
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

Unique62 ?
Unique (%)100.0%

Sample

1st row의령읍 남산로 27(의령읍 동동리 977-1)
2nd row의령읍 의병로9길 24(의령읍 서동리 372-1 외1)
3rd row의령읍 남산로 45(의령읍 동동리 944-2)
4th row의령읍 의병로9길 26-8(의령읍 서동리 370 외1)
5th row의령읍 백산로3길 5(의령읍 동동리 1046-1)
ValueCountFrequency (%)
의령읍 52
 
16.5%
동동리 24
 
7.6%
서동리 21
 
6.6%
외1 10
 
3.2%
의병로9길 9
 
2.8%
의병로14길 8
 
2.5%
부림면 8
 
2.5%
신반리 8
 
2.5%
남산로 7
 
2.2%
의병로 7
 
2.2%
Other values (141) 162
51.3%
2023-12-13T03:24:41.561418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
254
 
15.0%
의 137
 
8.1%
령 102
 
6.0%
읍 102
 
6.0%
1 94
 
5.6%
동 75
 
4.4%
2 72
 
4.3%
- 70
 
4.1%
리 62
 
3.7%
( 60
 
3.6%
Other values (43) 662
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 777
46.0%
Decimal Number 469
27.8%
Space Separator 254
 
15.0%
Dash Punctuation 70
 
4.1%
Open Punctuation 60
 
3.6%
Close Punctuation 60
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 137
17.6%
령 102
13.1%
읍 102
13.1%
동 75
9.7%
리 62
8.0%
로 57
7.3%
길 37
 
4.8%
병 34
 
4.4%
서 21
 
2.7%
면 20
 
2.6%
Other values (29) 130
16.7%
Decimal Number
ValueCountFrequency (%)
1 94
20.0%
2 72
15.4%
4 48
10.2%
8 45
9.6%
9 44
9.4%
7 39
8.3%
3 38
8.1%
5 35
 
7.5%
6 28
 
6.0%
0 26
 
5.5%
Space Separator
ValueCountFrequency (%)
254
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 913
54.0%
Hangul 777
46.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 137
17.6%
령 102
13.1%
읍 102
13.1%
동 75
9.7%
리 62
8.0%
로 57
7.3%
길 37
 
4.8%
병 34
 
4.4%
서 21
 
2.7%
면 20
 
2.6%
Other values (29) 130
16.7%
Common
ValueCountFrequency (%)
254
27.8%
1 94
 
10.3%
2 72
 
7.9%
- 70
 
7.7%
( 60
 
6.6%
) 60
 
6.6%
4 48
 
5.3%
8 45
 
4.9%
9 44
 
4.8%
7 39
 
4.3%
Other values (4) 127
13.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 913
54.0%
Hangul 777
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
254
27.8%
1 94
 
10.3%
2 72
 
7.9%
- 70
 
7.7%
( 60
 
6.6%
) 60
 
6.6%
4 48
 
5.3%
8 45
 
4.9%
9 44
 
4.8%
7 39
 
4.3%
Other values (4) 127
13.9%
Hangul
ValueCountFrequency (%)
의 137
17.6%
령 102
13.1%
읍 102
13.1%
동 75
9.7%
리 62
8.0%
로 57
7.3%
길 37
 
4.8%
병 34
 
4.4%
서 21
 
2.7%
면 20
 
2.6%
Other values (29) 130
16.7%

층수(지하-지상)
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
0-4
34 
0-3
4 
1-15
4 
1-4
4 
1-5
 
3
Other values (9)
13 

Length

Max length4
Median length3
Mean length3.1290323
Min length3

Unique

Unique7 ?
Unique (%)11.3%

Sample

1st row1-5
2nd row0-5
3rd row0-5
4th row0-3
5th row1-5

Common Values

ValueCountFrequency (%)
0-4 34
54.8%
0-3 4
 
6.5%
1-15 4
 
6.5%
1-4 4
 
6.5%
1-5 3
 
4.8%
0-5 3
 
4.8%
1-9 3
 
4.8%
1-12 1
 
1.6%
1-6 1
 
1.6%
0-9 1
 
1.6%
Other values (4) 4
 
6.5%

Length

2023-12-13T03:24:41.740803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0-4 34
54.8%
0-3 4
 
6.5%
1-15 4
 
6.5%
1-4 4
 
6.5%
1-5 3
 
4.8%
0-5 3
 
4.8%
1-9 3
 
4.8%
1-12 1
 
1.6%
1-6 1
 
1.6%
0-9 1
 
1.6%
Other values (4) 4
 
6.5%

동수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size628.0 B
1
44 
2
14 
3
 
2
4
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 44
71.0%
2 14
 
22.6%
3 2
 
3.2%
4 1
 
1.6%
5 1
 
1.6%

Length

2023-12-13T03:24:41.862612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:24:41.963502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 44
71.0%
2 14
 
22.6%
3 2
 
3.2%
4 1
 
1.6%
5 1
 
1.6%

세대수
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.629032
Minimum4
Maximum322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-13T03:24:42.092996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q112
median16
Q319
95-th percentile131.45
Maximum322
Range318
Interquartile range (IQR)7

Descriptive statistics

Standard deviation58.292151
Coefficient of variation (CV)1.7865118
Kurtosis15.312419
Mean32.629032
Median Absolute Deviation (MAD)4
Skewness3.8712611
Sum2023
Variance3397.9749
MonotonicityNot monotonic
2023-12-13T03:24:42.237635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
16 10
16.1%
8 9
14.5%
19 6
 
9.7%
18 6
 
9.7%
30 3
 
4.8%
12 3
 
4.8%
14 3
 
4.8%
24 2
 
3.2%
4 2
 
3.2%
15 2
 
3.2%
Other values (14) 16
25.8%
ValueCountFrequency (%)
4 2
 
3.2%
5 1
 
1.6%
8 9
14.5%
9 1
 
1.6%
11 2
 
3.2%
12 3
 
4.8%
13 1
 
1.6%
14 3
 
4.8%
15 2
 
3.2%
16 10
16.1%
ValueCountFrequency (%)
322 1
 
1.6%
283 1
 
1.6%
196 1
 
1.6%
133 1
 
1.6%
102 1
 
1.6%
58 1
 
1.6%
48 1
 
1.6%
40 2
3.2%
30 3
4.8%
27 1
 
1.6%

구조
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
철근콘크리트
62 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
철근콘크리트 62
100.0%

Length

2023-12-13T03:24:42.381982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:24:42.514051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철근콘크리트 62
100.0%

연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct61
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322.8621
Minimum297.96
Maximum50096.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-13T03:24:42.663534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum297.96
5-th percentile463.295
Q1812.91
median1392.875
Q32109.9975
95-th percentile12888.204
Maximum50096.5
Range49798.54
Interquartile range (IQR)1297.0875

Descriptive statistics

Standard deviation7144.5561
Coefficient of variation (CV)2.1501212
Kurtosis31.267267
Mean3322.8621
Median Absolute Deviation (MAD)716.68
Skewness5.2243438
Sum206017.45
Variance51044682
MonotonicityNot monotonic
2023-12-13T03:24:42.829516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
659.64 2
 
3.2%
2945.9 1
 
1.6%
1327.29 1
 
1.6%
20401.61 1
 
1.6%
5490.84 1
 
1.6%
1319.68 1
 
1.6%
2110.44 1
 
1.6%
442.68 1
 
1.6%
652.34 1
 
1.6%
644.72 1
 
1.6%
Other values (51) 51
82.3%
ValueCountFrequency (%)
297.96 1
1.6%
410.08 1
1.6%
442.68 1
1.6%
455.76 1
1.6%
606.46 1
1.6%
638.58 1
1.6%
644.72 1
1.6%
652.34 1
1.6%
656.96 1
1.6%
658.48 1
1.6%
ValueCountFrequency (%)
50096.5 1
1.6%
20401.61 1
1.6%
19888.88 1
1.6%
13096.29 1
1.6%
8934.58 1
1.6%
5490.84 1
1.6%
5463.21 1
1.6%
4482.7 1
1.6%
3715.74 1
1.6%
3348.0 1
1.6%

사용승인일
Date

Distinct58
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
Minimum1989-12-18 00:00:00
Maximum2020-02-04 00:00:00
2023-12-13T03:24:42.980454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:24:43.157575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

비고(용도)
Categorical

Distinct7
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size628.0 B
다세대
25 
아파트
16 
연립
13 
단지형다세대
3 
공동주택(아파트)
3 
Other values (2)
 
2

Length

Max length9
Median length3
Mean length3.3064516
Min length2

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row아파트
2nd row아파트
3rd row아파트
4th row연립
5th row아파트

Common Values

ValueCountFrequency (%)
다세대 25
40.3%
아파트 16
25.8%
연립 13
21.0%
단지형다세대 3
 
4.8%
공동주택(아파트) 3
 
4.8%
근생/다세대 1
 
1.6%
단지형연립 1
 
1.6%

Length

2023-12-13T03:24:43.332894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:24:43.497452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다세대 25
40.3%
아파트 16
25.8%
연립 13
21.0%
단지형다세대 3
 
4.8%
공동주택(아파트 3
 
4.8%
근생/다세대 1
 
1.6%
단지형연립 1
 
1.6%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-09-11
62 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-11
2nd row2023-09-11
3rd row2023-09-11
4th row2023-09-11
5th row2023-09-11

Common Values

ValueCountFrequency (%)
2023-09-11 62
100.0%

Length

2023-12-13T03:24:43.652311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:24:43.779228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-11 62
100.0%

Interactions

2023-12-13T03:24:39.151689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:24:38.487436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:24:38.851228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:24:39.258528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:24:38.620062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:24:38.946477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:24:39.348988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:24:38.744092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:24:39.042492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:24:43.863825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분단 지 명위 치층수(지하-지상)동수세대수연면적(제곱미터)사용승인일비고(용도)
구분1.0001.0001.0000.0000.0000.0000.0001.0000.534
단 지 명1.0001.0001.0001.0000.9571.0001.0000.9921.000
위 치1.0001.0001.0001.0001.0001.0001.0001.0001.000
층수(지하-지상)0.0001.0001.0001.0000.7140.9350.7320.9950.837
동수0.0000.9571.0000.7141.0000.8040.7950.9890.457
세대수0.0001.0001.0000.9350.8041.0000.9201.0000.663
연면적(제곱미터)0.0001.0001.0000.7320.7950.9201.0001.0000.679
사용승인일1.0000.9921.0000.9950.9891.0001.0001.0001.000
비고(용도)0.5341.0001.0000.8370.4570.6630.6791.0001.000
2023-12-13T03:24:44.022274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동수비고(용도)층수(지하-지상)
동수1.0000.3060.431
비고(용도)0.3061.0000.440
층수(지하-지상)0.4310.4401.000
2023-12-13T03:24:44.141866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분세대수연면적(제곱미터)층수(지하-지상)동수비고(용도)
구분1.000-0.083-0.1450.0000.0000.293
세대수-0.0831.0000.9050.5970.6740.281
연면적(제곱미터)-0.1450.9051.0000.4370.6750.485
층수(지하-지상)0.0000.5970.4371.0000.4310.440
동수0.0000.6740.6750.4311.0000.306
비고(용도)0.2930.2810.4850.4400.3061.000

Missing values

2023-12-13T03:24:39.462681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:24:39.656888image/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

구분단 지 명위 치층수(지하-지상)동수세대수구조연면적(제곱미터)사용승인일비고(용도)데이터기준일
01대신아파트의령읍 남산로 27(의령읍 동동리 977-1)1-5130철근콘크리트2945.91989-12-18아파트2023-09-11
12삼영파크의령읍 의병로9길 24(의령읍 서동리 372-1 외1)0-5130철근콘크리트2637.61989-12-30아파트2023-09-11
23남산아파트의령읍 남산로 45(의령읍 동동리 944-2)0-5140철근콘크리트3348.01990-02-07아파트2023-09-11
34삼영빌라의령읍 의병로9길 26-8(의령읍 서동리 370 외1)0-3227철근콘크리트2108.671991-03-08연립2023-09-11
45우진빌라의령읍 백산로3길 5(의령읍 동동리 1046-1)1-5119철근콘크리트1931.081991-07-20아파트2023-09-11
56코오롱빌라부림면 신번로11길 7(부림면 신반리 1065)0-4216철근콘크리트1297.441991-11-22다세대2023-09-11
67코오롱빌라부림면 신번로11길 7(부림면 신반리 1068)0-418철근콘크리트638.581992-08-04다세대2023-09-11
78상진들국화맨션부림면 대한로 1780(부림면 신반리 380-1)1-12148철근콘크리트4482.71991-12-30아파트2023-09-11
89삼영타운의령읍 남산로 7-15(의령읍 동동리 862-18)1-151102철근콘크리트8934.581992-12-30아파트2023-09-11
910천우스카이빌라의령읍 의병로9동길 26(의령읍 서동리 195-9)1-9118철근콘크리트3043.731993-03-05아파트2023-09-11
구분단 지 명위 치층수(지하-지상)동수세대수구조연면적(제곱미터)사용승인일비고(용도)데이터기준일
5253파크팰리스의령읍 백산로 22(의령읍 동동리 944-6 외1)0-4216철근콘크리트1314.082014-10-23단지형다세대2023-09-11
5354정안리슈빌의령읍 의병로14길 14(의령읍 서동리 498-13)0-4216철근콘크리트1318.522015-01-23다세대2023-09-11
5455지오빌부림면 한지22길 29-21(부림면 신반리 119 외1)0-4219철근콘크리트1301.962015-03-06다세대2023-09-11
5556서동행복빌의령읍 의병로14길 8-33(의령읍 서동리 595)1-4114철근콘크리트606.462016-06-09근생/다세대2023-09-11
5657신포송림뜰안愛칠곡면 진의로8길 26(칠곡면 신포리 277-19)0-4112철근콘크리트1365.462016-06-30연립2023-09-11
5758참사리 연립주택의령읍 하리 6320-4124철근콘크리트19888.882017-07-07단지형연립2023-09-11
5859만노빌리지의령읍 하리 68-10-4319철근콘크리트1640.362017-10-24다세대2023-09-11
5960진승뷰주상복합아파트의령읍 중동리 395(의령읍 의병로22길 7-7)0-17130철근콘크리트3715.742018-03-22공동주택(아파트)2023-09-11
6061신우희가로의령읍 동동리 1556(의령읍 행복로 7)1-185322철근콘크리트50096.52018-07-20공동주택(아파트)2023-09-11
6162의령동동엘에이치아파트의령읍 동동리 1558(의령읍 행복로 23)0-182196철근콘크리트1778.112020-02-04공동주택(아파트)2023-09-11