Overview

Dataset statistics

Number of variables9
Number of observations106
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory77.2 B

Variable types

Numeric4
Text2
Categorical2
DateTime1

Dataset

Description부산광역시_동구_공동주택현황_20221115
Author부산광역시 동구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15026020

Alerts

동수 is highly overall correlated with 세대수High correlation
연면적 is highly overall correlated with 세대수 and 1 other fieldsHigh correlation
세대수 is highly overall correlated with 동수 and 2 other fieldsHigh correlation
층수 is highly overall correlated with 연면적 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
위치(새주소) has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:53:07.596671
Analysis finished2023-12-10 16:53:09.696578
Duration2.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.5
Minimum1
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:53:09.775197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.25
Q127.25
median53.5
Q379.75
95-th percentile100.75
Maximum106
Range105
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation30.743563
Coefficient of variation (CV)0.57464604
Kurtosis-1.2
Mean53.5
Median Absolute Deviation (MAD)26.5
Skewness0
Sum5671
Variance945.16667
MonotonicityStrictly increasing
2023-12-11T01:53:09.934711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
81 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
73 1
 
0.9%
72 1
 
0.9%
Other values (96) 96
90.6%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%
99 1
0.9%
98 1
0.9%
97 1
0.9%

단지명
Text

Distinct105
Distinct (%)100.0%
Missing1
Missing (%)0.9%
Memory size980.0 B
2023-12-11T01:53:10.286205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length14
Mean length6.3619048
Min length3

Characters and Unicode

Total characters668
Distinct characters176
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)100.0%

Sample

1st row초량시영아파트
2nd row수정아파트(1-18호동)(17호동-청광아파트)
3rd row좌천아파트
4th row문화아파트
5th row대륙아파트
ValueCountFrequency (%)
2차 2
 
1.6%
부산역 2
 
1.6%
유림 2
 
1.6%
지원더뷰 2
 
1.6%
초량시영아파트 1
 
0.8%
센텀타워 1
 
0.8%
오름캐슬2차 1
 
0.8%
수정아파트(1-18호동)(17호동-청광아파트 1
 
0.8%
신아에코시티 1
 
0.8%
남평n-city 1
 
0.8%
Other values (108) 108
88.5%
2023-12-11T01:53:11.188798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 43
 
6.4%
아 42
 
6.3%
파 41
 
6.1%
스 21
 
3.1%
18
 
2.7%
빌 16
 
2.4%
동 12
 
1.8%
원 12
 
1.8%
션 12
 
1.8%
이 11
 
1.6%
Other values (166) 440
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 610
91.3%
Space Separator 18
 
2.7%
Uppercase Letter 14
 
2.1%
Decimal Number 12
 
1.8%
Lowercase Letter 4
 
0.6%
Dash Punctuation 3
 
0.4%
Other Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 43
 
7.0%
아 42
 
6.9%
파 41
 
6.7%
스 21
 
3.4%
빌 16
 
2.6%
동 12
 
2.0%
원 12
 
2.0%
션 12
 
2.0%
이 11
 
1.8%
오 11
 
1.8%
Other values (141) 389
63.8%
Uppercase Letter
ValueCountFrequency (%)
C 3
21.4%
T 2
14.3%
Y 1
 
7.1%
I 1
 
7.1%
N 1
 
7.1%
A 1
 
7.1%
K 1
 
7.1%
B 1
 
7.1%
S 1
 
7.1%
L 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 6
50.0%
1 4
33.3%
7 1
 
8.3%
8 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
c 1
25.0%
m 1
25.0%
j 1
25.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 610
91.3%
Common 39
 
5.8%
Latin 19
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 43
 
7.0%
아 42
 
6.9%
파 41
 
6.7%
스 21
 
3.4%
빌 16
 
2.6%
동 12
 
2.0%
원 12
 
2.0%
션 12
 
2.0%
이 11
 
1.8%
오 11
 
1.8%
Other values (141) 389
63.8%
Latin
ValueCountFrequency (%)
C 3
15.8%
T 2
 
10.5%
Y 1
 
5.3%
I 1
 
5.3%
N 1
 
5.3%
e 1
 
5.3%
A 1
 
5.3%
Ⅱ 1
 
5.3%
K 1
 
5.3%
B 1
 
5.3%
Other values (6) 6
31.6%
Common
ValueCountFrequency (%)
18
46.2%
2 6
 
15.4%
1 4
 
10.3%
- 3
 
7.7%
. 2
 
5.1%
( 2
 
5.1%
) 2
 
5.1%
7 1
 
2.6%
8 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 610
91.3%
ASCII 57
 
8.5%
Number Forms 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 43
 
7.0%
아 42
 
6.9%
파 41
 
6.7%
스 21
 
3.4%
빌 16
 
2.6%
동 12
 
2.0%
원 12
 
2.0%
션 12
 
2.0%
이 11
 
1.8%
오 11
 
1.8%
Other values (141) 389
63.8%
ASCII
ValueCountFrequency (%)
18
31.6%
2 6
 
10.5%
1 4
 
7.0%
C 3
 
5.3%
- 3
 
5.3%
. 2
 
3.5%
( 2
 
3.5%
) 2
 
3.5%
T 2
 
3.5%
7 1
 
1.8%
Other values (14) 14
24.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

행정동
Categorical

Distinct14
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size980.0 B
초량3동
17 
좌천동
15 
초량1동
13 
수정2동
13 
초량2동
11 
Other values (9)
37 

Length

Max length4
Median length4
Mean length3.8396226
Min length3

Unique

Unique2 ?
Unique (%)1.9%

Sample

1st row초량6동
2nd row수정4동
3rd row좌천동
4th row좌천동
5th row초량2동

Common Values

ValueCountFrequency (%)
초량3동 17
16.0%
좌천동 15
14.2%
초량1동 13
12.3%
수정2동 13
12.3%
초량2동 11
10.4%
범일1동 10
9.4%
수정1동 8
7.5%
범일2동 7
6.6%
초량6동 3
 
2.8%
수정5동 3
 
2.8%
Other values (4) 6
 
5.7%

Length

2023-12-11T01:53:11.391531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
초량3동 17
16.0%
좌천동 15
14.2%
초량1동 13
12.3%
수정2동 13
12.3%
초량2동 11
10.4%
범일1동 10
9.4%
수정1동 8
7.5%
범일2동 7
6.6%
초량6동 3
 
2.8%
수정5동 3
 
2.8%
Other values (4) 6
 
5.7%

위치(새주소)
Text

UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-11T01:53:11.684553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length23.867925
Min length14

Characters and Unicode

Total characters2530
Distinct characters179
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)100.0%

Sample

1st row동구 망양로 619(초량동, 초량시영아파트)
2nd row동구 망양로685번길 11(수정동, 수정아파트)
3rd row동구 성북로22번길 29(좌천동, 좌천시민아파트)
4th row동구 증산로113번길 7(좌천동, 문화아파트)
5th row동구 망양로 494-10(초량동, 대륙아파트)
ValueCountFrequency (%)
동구 103
 
24.1%
고관로 10
 
2.3%
망양로 10
 
2.3%
정공단로 5
 
1.2%
홍곡로 5
 
1.2%
중앙대로 5
 
1.2%
초량중로 5
 
1.2%
초량상로 4
 
0.9%
아파트 3
 
0.7%
15(범일동 3
 
0.7%
Other values (248) 275
64.3%
2023-12-11T01:53:12.243993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
323
 
12.8%
동 224
 
8.9%
구 108
 
4.3%
로 108
 
4.3%
) 106
 
4.2%
( 106
 
4.2%
, 88
 
3.5%
1 77
 
3.0%
초 68
 
2.7%
량 65
 
2.6%
Other values (169) 1257
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1520
60.1%
Decimal Number 355
 
14.0%
Space Separator 323
 
12.8%
Close Punctuation 106
 
4.2%
Open Punctuation 106
 
4.2%
Other Punctuation 91
 
3.6%
Dash Punctuation 22
 
0.9%
Lowercase Letter 3
 
0.1%
Uppercase Letter 3
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 224
 
14.7%
구 108
 
7.1%
로 108
 
7.1%
초 68
 
4.5%
량 65
 
4.3%
길 45
 
3.0%
정 44
 
2.9%
번 42
 
2.8%
수 40
 
2.6%
트 37
 
2.4%
Other values (146) 739
48.6%
Decimal Number
ValueCountFrequency (%)
1 77
21.7%
2 39
11.0%
4 39
11.0%
7 37
10.4%
5 33
9.3%
6 32
9.0%
8 25
 
7.0%
3 25
 
7.0%
0 24
 
6.8%
9 24
 
6.8%
Lowercase Letter
ValueCountFrequency (%)
j 1
33.3%
m 1
33.3%
c 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
C 1
33.3%
K 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 88
96.7%
. 3
 
3.3%
Space Separator
ValueCountFrequency (%)
323
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1520
60.1%
Common 1003
39.6%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 224
 
14.7%
구 108
 
7.1%
로 108
 
7.1%
초 68
 
4.5%
량 65
 
4.3%
길 45
 
3.0%
정 44
 
2.9%
번 42
 
2.8%
수 40
 
2.6%
트 37
 
2.4%
Other values (146) 739
48.6%
Common
ValueCountFrequency (%)
323
32.2%
) 106
 
10.6%
( 106
 
10.6%
, 88
 
8.8%
1 77
 
7.7%
2 39
 
3.9%
4 39
 
3.9%
7 37
 
3.7%
5 33
 
3.3%
6 32
 
3.2%
Other values (6) 123
 
12.3%
Latin
ValueCountFrequency (%)
j 1
14.3%
m 1
14.3%
c 1
14.3%
B 1
14.3%
C 1
14.3%
K 1
14.3%
Ⅱ 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1520
60.1%
ASCII 1009
39.9%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
323
32.0%
) 106
 
10.5%
( 106
 
10.5%
, 88
 
8.7%
1 77
 
7.6%
2 39
 
3.9%
4 39
 
3.9%
7 37
 
3.7%
5 33
 
3.3%
6 32
 
3.2%
Other values (12) 129
 
12.8%
Hangul
ValueCountFrequency (%)
동 224
 
14.7%
구 108
 
7.1%
로 108
 
7.1%
초 68
 
4.5%
량 65
 
4.3%
길 45
 
3.0%
정 44
 
2.9%
번 42
 
2.8%
수 40
 
2.6%
트 37
 
2.4%
Other values (146) 739
48.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

동수
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0754717
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:53:12.414267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum17
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.2915917
Coefficient of variation (CV)1.1041306
Kurtosis21.04175
Mean2.0754717
Median Absolute Deviation (MAD)0
Skewness4.0533776
Sum220
Variance5.2513926
MonotonicityNot monotonic
2023-12-11T01:53:12.560117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 67
63.2%
2 13
 
12.3%
3 10
 
9.4%
4 9
 
8.5%
7 3
 
2.8%
5 2
 
1.9%
17 1
 
0.9%
13 1
 
0.9%
ValueCountFrequency (%)
1 67
63.2%
2 13
 
12.3%
3 10
 
9.4%
4 9
 
8.5%
5 2
 
1.9%
7 3
 
2.8%
13 1
 
0.9%
17 1
 
0.9%
ValueCountFrequency (%)
17 1
 
0.9%
13 1
 
0.9%
7 3
 
2.8%
5 2
 
1.9%
4 9
 
8.5%
3 10
 
9.4%
2 13
 
12.3%
1 67
63.2%

층수
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size980.0 B
5층
21 
15층
12 
7층
10 
4층
7 
6층
6 
Other values (27)
50 

Length

Max length11
Median length2
Mean length2.6415094
Min length2

Unique

Unique14 ?
Unique (%)13.2%

Sample

1st row2층
2nd row4,5,6층
3rd row5층
4th row3,5층
5th row15층

Common Values

ValueCountFrequency (%)
5층 21
19.8%
15층 12
 
11.3%
7층 10
 
9.4%
4층 7
 
6.6%
6층 6
 
5.7%
8층 5
 
4.7%
9층 4
 
3.8%
14층 4
 
3.8%
12층 3
 
2.8%
18층 3
 
2.8%
Other values (22) 31
29.2%

Length

2023-12-11T01:53:12.713430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5층 21
19.6%
15층 12
 
11.2%
7층 10
 
9.3%
4층 7
 
6.5%
6층 6
 
5.6%
8층 5
 
4.7%
9층 4
 
3.7%
14층 4
 
3.7%
12층 3
 
2.8%
18층 3
 
2.8%
Other values (23) 32
29.9%

연면적
Real number (ℝ)

HIGH CORRELATION 

Distinct105
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14510.011
Minimum485
Maximum159085.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:53:12.892847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum485
5-th percentile690.5
Q11804.25
median4409.5
Q39164.115
95-th percentile80895.685
Maximum159085.4
Range158600.4
Interquartile range (IQR)7359.865

Descriptive statistics

Standard deviation28700.442
Coefficient of variation (CV)1.9779753
Kurtosis11.229361
Mean14510.011
Median Absolute Deviation (MAD)3312.13
Skewness3.2949622
Sum1538061.1
Variance8.2371539 × 108
MonotonicityNot monotonic
2023-12-11T01:53:13.101155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
840.0 2
 
1.9%
3174.0 1
 
0.9%
920.0 1
 
0.9%
4124.0 1
 
0.9%
2406.0 1
 
0.9%
4097.0 1
 
0.9%
1982.97 1
 
0.9%
975.0 1
 
0.9%
996.39 1
 
0.9%
2724.95 1
 
0.9%
Other values (95) 95
89.6%
ValueCountFrequency (%)
485.0 1
0.9%
564.0 1
0.9%
581.0 1
0.9%
621.7 1
0.9%
670.0 1
0.9%
671.0 1
0.9%
749.0 1
0.9%
796.9 1
0.9%
840.0 2
1.9%
910.22 1
0.9%
ValueCountFrequency (%)
159085.4 1
0.9%
138872.0 1
0.9%
121938.67 1
0.9%
110992.0 1
0.9%
85572.0 1
0.9%
84860.5 1
0.9%
69001.24 1
0.9%
61437.8 1
0.9%
42327.6 1
0.9%
40966.0 1
0.9%

세대수
Real number (ℝ)

HIGH CORRELATION 

Distinct65
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.61321
Minimum20
Maximum1164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T01:53:13.305062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q125.25
median49
Q3104
95-th percentile625.75
Maximum1164
Range1144
Interquartile range (IQR)78.75

Descriptive statistics

Standard deviation205.40842
Coefficient of variation (CV)1.5726467
Kurtosis8.7953995
Mean130.61321
Median Absolute Deviation (MAD)25.5
Skewness2.8783266
Sum13845
Variance42192.62
MonotonicityNot monotonic
2023-12-11T01:53:13.448296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 11
 
10.4%
24 9
 
8.5%
28 4
 
3.8%
30 3
 
2.8%
90 3
 
2.8%
21 3
 
2.8%
49 3
 
2.8%
39 2
 
1.9%
50 2
 
1.9%
25 2
 
1.9%
Other values (55) 64
60.4%
ValueCountFrequency (%)
20 11
10.4%
21 3
 
2.8%
22 1
 
0.9%
23 1
 
0.9%
24 9
8.5%
25 2
 
1.9%
26 2
 
1.9%
28 4
 
3.8%
29 2
 
1.9%
30 3
 
2.8%
ValueCountFrequency (%)
1164 1
0.9%
856 1
0.9%
804 1
0.9%
788 1
0.9%
752 1
0.9%
652 1
0.9%
547 1
0.9%
466 1
0.9%
449 1
0.9%
307 1
0.9%

사용검사일
Date

Distinct103
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size980.0 B
Minimum1967-12-30 00:00:00
Maximum2021-08-26 00:00:00
2023-12-11T01:53:13.604630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:53:13.790794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T01:53:09.034933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:53:07.985291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:53:08.276194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:53:08.631525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:53:09.142093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:53:08.049355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:53:08.361930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:53:08.722510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:53:09.252646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:53:08.117751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:53:08.447216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:53:08.813456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:53:09.355019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:53:08.201135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:53:08.539694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:53:08.914210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:53:13.922017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동동수층수연면적세대수
연번1.0000.2330.2780.7230.2690.227
행정동0.2331.0000.7140.7410.7580.724
동수0.2780.7141.0000.8310.6440.769
층수0.7230.7410.8311.0000.9320.949
연면적0.2690.7580.6440.9321.0000.903
세대수0.2270.7240.7690.9490.9031.000
2023-12-11T01:53:14.042399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동층수
행정동1.0000.286
층수0.2861.000
2023-12-11T01:53:14.165489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동수연면적세대수행정동층수
연번1.000-0.3210.046-0.0640.1000.312
동수-0.3211.0000.4970.5790.4330.472
연면적0.0460.4971.0000.9340.4240.597
세대수-0.0640.5790.9341.0000.4000.654
행정동0.1000.4330.4240.4001.0000.286
층수0.3120.4720.5970.6540.2861.000

Missing values

2023-12-11T01:53:09.493588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:53:09.649459image/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

연번단지명행정동위치(새주소)동수층수연면적세대수사용검사일
01초량시영아파트초량6동동구 망양로 619(초량동, 초량시영아파트)22층3174.0601967-12-30
12수정아파트(1-18호동)(17호동-청광아파트)수정4동동구 망양로685번길 11(수정동, 수정아파트)174,5,6층42327.611641969-12-30
23좌천아파트좌천동동구 성북로22번길 29(좌천동, 좌천시민아파트)45층11163.43071969-12-30
34문화아파트좌천동동구 증산로113번길 7(좌천동, 문화아파트)73,5층7669.31921974-04-02
45대륙아파트초량2동동구 망양로 494-10(초량동, 대륙아파트)115층1884.0351975-07-24
56초원아파트초량1동동구 영초길 135-4(초량동, 초원아파트)35층4463.0901976-01-21
67금성아파트좌천동동구 증산동로 41(좌천동, 금성아파트)24층2304.1401976-03-02
78산장아파트초량2동동구 망양로 494-8(초량동, 산장아파트)12층996.0211976-07-26
89자성대아파트범일2동동구 자성로108번길 19(범일동, 자성대아파트)44층3889.3901976-12-09
910신우아파트초량3동동구 고관로 70(초량동, 신우아파트)15층2279.0341976-12-30
연번단지명행정동위치(새주소)동수층수연면적세대수사용검사일
9697e편한세상 부산항초량3동동구 홍곡로 50(초량동, 이편한세상부산항)44-36,1-18138872.07522019-07-23
9798수정협성휴포레 부산진역더뷰아파트수정2동동구 중앙대로 357(수정동, 협성휴포레부산진역)447층121938.677882019-07-30
9899베스안오션뷰수정2동동구 고관로 90(수정동)118층6459.0302019-11-12
99100대영 아르피나초량2동동구 초량중로 59(초량동)114층485.0232019-11-13
100101지원더뷰 오션2차초량3동동구 중앙대로 296번길 7-10(초량동, 지원더뷰 오션2차)135층40209.882312019-12-02
101102범양레우스초량3동동구 초량중로 114(초량동, 범양레우스)440층15543.08562020-02-27
102103모티더베스트빌수정2동동구 수정동로16번길 9(수정동,모티더베스트빌)116층8807.46972020-12-02
103104갤럭시하버타운좌천동동구 고관로 141번길 14(좌천동)15층995.32222020-12-15
104105어반오션시티범일동동구 중앙대로 501-1(범일동)118층5179.2612021-05-06
105106초량베스티움센트럴베이초량동동구 홍곡로 37(초량동, 초량베스티움센트럴베이)728층69001.244492021-08-26