Overview

Dataset statistics

Number of variables9
Number of observations67
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory78.0 B

Variable types

Numeric4
Text3
Categorical1
DateTime1

Dataset

Description전라남도 장흥군 공동주택의 건물명, 건축위치, 사업주체, 면적, 세대수, 층수, 동수를 포함한 공공데이터 입니다.
Author전라남도 장흥군
URLhttps://www.data.go.kr/data/15097798/fileData.do

Alerts

면적 is highly overall correlated with 세대수 and 1 other fieldsHigh correlation
세대수 is highly overall correlated with 면적 and 2 other fieldsHigh correlation
동수 is highly overall correlated with 세대수High correlation
층수 is highly overall correlated with 면적 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
건축위치 has unique valuesUnique

Reproduction

Analysis started2024-01-06 12:33:18.543359
Analysis finished2024-01-06 12:33:30.542772
Duration12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-01-06T12:33:30.747402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.3
Q117.5
median34
Q350.5
95-th percentile63.7
Maximum67
Range66
Interquartile range (IQR)33

Descriptive statistics

Standard deviation19.485037
Coefficient of variation (CV)0.57308932
Kurtosis-1.2
Mean34
Median Absolute Deviation (MAD)17
Skewness0
Sum2278
Variance379.66667
MonotonicityStrictly increasing
2024-01-06T12:33:31.238855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
44 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
45 1
 
1.5%
43 1
 
1.5%
2 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%

건물명
Text

Distinct66
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-01-06T12:33:31.936222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length5.6268657
Min length3

Characters and Unicode

Total characters377
Distinct characters113
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)97.0%

Sample

1st row장미연립
2nd row대일연립
3rd row장원연립
4th row삼보연립
5th row한국연립
ValueCountFrequency (%)
탐진연립 2
 
2.8%
1차 2
 
2.8%
2차 2
 
2.8%
덕양프로방스 2
 
2.8%
아이지센트럴파크 2
 
2.8%
동산빌라(103 1
 
1.4%
현남팰리스 1
 
1.4%
동산빌라(108 1
 
1.4%
세원빌 1
 
1.4%
현대빌라 1
 
1.4%
Other values (57) 57
79.2%
2024-01-06T12:33:32.841958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 22
 
5.8%
파 20
 
5.3%
트 19
 
5.0%
연 16
 
4.2%
립 16
 
4.2%
빌 13
 
3.4%
1 11
 
2.9%
동 11
 
2.9%
라 10
 
2.7%
산 10
 
2.7%
Other values (103) 229
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 322
85.4%
Decimal Number 31
 
8.2%
Open Punctuation 8
 
2.1%
Close Punctuation 8
 
2.1%
Space Separator 5
 
1.3%
Uppercase Letter 2
 
0.5%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 22
 
6.8%
파 20
 
6.2%
트 19
 
5.9%
연 16
 
5.0%
립 16
 
5.0%
빌 13
 
4.0%
동 11
 
3.4%
라 10
 
3.1%
산 10
 
3.1%
차 10
 
3.1%
Other values (89) 175
54.3%
Decimal Number
ValueCountFrequency (%)
1 11
35.5%
2 7
22.6%
0 7
22.6%
3 2
 
6.5%
9 1
 
3.2%
8 1
 
3.2%
6 1
 
3.2%
7 1
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 322
85.4%
Common 53
 
14.1%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 22
 
6.8%
파 20
 
6.2%
트 19
 
5.9%
연 16
 
5.0%
립 16
 
5.0%
빌 13
 
4.0%
동 11
 
3.4%
라 10
 
3.1%
산 10
 
3.1%
차 10
 
3.1%
Other values (89) 175
54.3%
Common
ValueCountFrequency (%)
1 11
20.8%
( 8
15.1%
) 8
15.1%
2 7
13.2%
0 7
13.2%
5
9.4%
3 2
 
3.8%
9 1
 
1.9%
8 1
 
1.9%
6 1
 
1.9%
Other values (2) 2
 
3.8%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 322
85.4%
ASCII 55
 
14.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 22
 
6.8%
파 20
 
6.2%
트 19
 
5.9%
연 16
 
5.0%
립 16
 
5.0%
빌 13
 
4.0%
동 11
 
3.4%
라 10
 
3.1%
산 10
 
3.1%
차 10
 
3.1%
Other values (89) 175
54.3%
ASCII
ValueCountFrequency (%)
1 11
20.0%
( 8
14.5%
) 8
14.5%
2 7
12.7%
0 7
12.7%
5
9.1%
3 2
 
3.6%
9 1
 
1.8%
8 1
 
1.8%
B 1
 
1.8%
Other values (4) 4
 
7.3%

건축위치
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-01-06T12:33:33.505723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length21.492537
Min length19

Characters and Unicode

Total characters1440
Distinct characters47
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

Unique67 ?
Unique (%)100.0%

Sample

1st row전라남도 장흥군 장흥읍 건산리 683
2nd row전라남도 장흥군 장흥읍 건산리 477-1
3rd row전라남도 장흥군 장흥읍 동동리 187-1
4th row전라남도 장흥군 장흥읍 건산리 476
5th row전라남도 장흥군 장흥읍 건산리 394-11
ValueCountFrequency (%)
전라남도 67
20.0%
장흥군 67
20.0%
장흥읍 58
17.3%
건산리 46
13.7%
관산읍 5
 
1.5%
원도리 4
 
1.2%
예양리 3
 
0.9%
회진리 2
 
0.6%
회진면 2
 
0.6%
옥당리 2
 
0.6%
Other values (77) 79
23.6%
2024-01-06T12:33:34.641969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
269
18.7%
장 125
 
8.7%
흥 125
 
8.7%
도 72
 
5.0%
남 68
 
4.7%
전 67
 
4.7%
라 67
 
4.7%
리 67
 
4.7%
군 67
 
4.7%
읍 65
 
4.5%
Other values (37) 448
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 877
60.9%
Space Separator 269
 
18.7%
Decimal Number 251
 
17.4%
Dash Punctuation 43
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 125
14.3%
흥 125
14.3%
도 72
8.2%
남 68
7.8%
전 67
7.6%
라 67
7.6%
리 67
7.6%
군 67
7.6%
읍 65
7.4%
산 53
6.0%
Other values (25) 101
11.5%
Decimal Number
ValueCountFrequency (%)
1 50
19.9%
2 33
13.1%
4 28
11.2%
3 25
10.0%
7 24
9.6%
5 23
9.2%
8 21
8.4%
6 20
 
8.0%
9 14
 
5.6%
0 13
 
5.2%
Space Separator
ValueCountFrequency (%)
269
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 877
60.9%
Common 563
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 125
14.3%
흥 125
14.3%
도 72
8.2%
남 68
7.8%
전 67
7.6%
라 67
7.6%
리 67
7.6%
군 67
7.6%
읍 65
7.4%
산 53
6.0%
Other values (25) 101
11.5%
Common
ValueCountFrequency (%)
269
47.8%
1 50
 
8.9%
- 43
 
7.6%
2 33
 
5.9%
4 28
 
5.0%
3 25
 
4.4%
7 24
 
4.3%
5 23
 
4.1%
8 21
 
3.7%
6 20
 
3.6%
Other values (2) 27
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 877
60.9%
ASCII 563
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
269
47.8%
1 50
 
8.9%
- 43
 
7.6%
2 33
 
5.9%
4 28
 
5.0%
3 25
 
4.4%
7 24
 
4.3%
5 23
 
4.1%
8 21
 
3.7%
6 20
 
3.6%
Other values (2) 27
 
4.8%
Hangul
ValueCountFrequency (%)
장 125
14.3%
흥 125
14.3%
도 72
8.2%
남 68
7.8%
전 67
7.6%
라 67
7.6%
리 67
7.6%
군 67
7.6%
읍 65
7.4%
산 53
6.0%
Other values (25) 101
11.5%

사업주체
Text

Distinct57
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-01-06T12:33:35.415986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.6119403
Min length3

Characters and Unicode

Total characters309
Distinct characters92
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)77.6%

Sample

1st row김*익
2nd row이*선 외 35
3rd row여*현 외 35
4th row이*동
5th row한국주택조합
ValueCountFrequency (%)
주)동산건업 4
 
5.3%
이*영 4
 
5.3%
외 3
 
4.0%
안*성 3
 
4.0%
㈜성은 2
 
2.7%
황*환 2
 
2.7%
35 2
 
2.7%
㈜ 2
 
2.7%
혁신건설㈜ 1
 
1.3%
김*익 1
 
1.3%
Other values (51) 51
68.0%
2024-01-06T12:33:37.009975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 33
 
10.7%
건 19
 
6.1%
주 16
 
5.2%
㈜ 15
 
4.9%
설 13
 
4.2%
이 12
 
3.9%
( 11
 
3.6%
) 11
 
3.6%
성 9
 
2.9%
8
 
2.6%
Other values (82) 162
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 225
72.8%
Other Punctuation 33
 
10.7%
Other Symbol 15
 
4.9%
Open Punctuation 11
 
3.6%
Close Punctuation 11
 
3.6%
Space Separator 8
 
2.6%
Decimal Number 6
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 19
 
8.4%
주 16
 
7.1%
설 13
 
5.8%
이 12
 
5.3%
성 9
 
4.0%
산 7
 
3.1%
동 7
 
3.1%
김 6
 
2.7%
업 6
 
2.7%
한 5
 
2.2%
Other values (74) 125
55.6%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
5 2
33.3%
3 2
33.3%
Other Punctuation
ValueCountFrequency (%)
* 33
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 240
77.7%
Common 69
 
22.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 19
 
7.9%
주 16
 
6.7%
㈜ 15
 
6.2%
설 13
 
5.4%
이 12
 
5.0%
성 9
 
3.8%
산 7
 
2.9%
동 7
 
2.9%
김 6
 
2.5%
업 6
 
2.5%
Other values (75) 130
54.2%
Common
ValueCountFrequency (%)
* 33
47.8%
( 11
 
15.9%
) 11
 
15.9%
8
 
11.6%
1 2
 
2.9%
5 2
 
2.9%
3 2
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 225
72.8%
ASCII 69
 
22.3%
None 15
 
4.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 33
47.8%
( 11
 
15.9%
) 11
 
15.9%
8
 
11.6%
1 2
 
2.9%
5 2
 
2.9%
3 2
 
2.9%
Hangul
ValueCountFrequency (%)
건 19
 
8.4%
주 16
 
7.1%
설 13
 
5.8%
이 12
 
5.3%
성 9
 
4.0%
산 7
 
3.1%
동 7
 
3.1%
김 6
 
2.7%
업 6
 
2.7%
한 5
 
2.2%
Other values (74) 125
55.6%
None
ValueCountFrequency (%)
㈜ 15
100.0%

면적
Real number (ℝ)

HIGH CORRELATION 

Distinct66
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5999.5075
Minimum317
Maximum111422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-01-06T12:33:37.612583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum317
5-th percentile578.6
Q11154
median1588
Q32975
95-th percentile22233.1
Maximum111422
Range111105
Interquartile range (IQR)1821

Descriptive statistics

Standard deviation15059.724
Coefficient of variation (CV)2.51016
Kurtosis37.517825
Mean5999.5075
Median Absolute Deviation (MAD)659
Skewness5.6816969
Sum401967
Variance2.2679528 × 108
MonotonicityNot monotonic
2024-01-06T12:33:38.118716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1588 2
 
3.0%
2100 1
 
1.5%
704 1
 
1.5%
656 1
 
1.5%
1686 1
 
1.5%
1667 1
 
1.5%
1083 1
 
1.5%
955 1
 
1.5%
22234 1
 
1.5%
659 1
 
1.5%
Other values (56) 56
83.6%
ValueCountFrequency (%)
317 1
1.5%
476 1
1.5%
486 1
1.5%
560 1
1.5%
622 1
1.5%
633 1
1.5%
656 1
1.5%
659 1
1.5%
704 1
1.5%
916 1
1.5%
ValueCountFrequency (%)
111422 1
1.5%
44502 1
1.5%
23204 1
1.5%
22234 1
1.5%
22231 1
1.5%
19985 1
1.5%
17480 1
1.5%
15459 1
1.5%
11170 1
1.5%
8900 1
1.5%

세대수
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.238806
Minimum6
Maximum374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-01-06T12:33:38.556966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile8.3
Q115
median19
Q338
95-th percentile193.5
Maximum374
Range368
Interquartile range (IQR)23

Descriptive statistics

Standard deviation74.245312
Coefficient of variation (CV)1.4778479
Kurtosis8.1226623
Mean50.238806
Median Absolute Deviation (MAD)8
Skewness2.8023349
Sum3366
Variance5512.3664
MonotonicityNot monotonic
2024-01-06T12:33:39.504219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
16 8
 
11.9%
19 6
 
9.0%
18 5
 
7.5%
12 4
 
6.0%
24 3
 
4.5%
10 3
 
4.5%
28 2
 
3.0%
8 2
 
3.0%
11 2
 
3.0%
36 2
 
3.0%
Other values (29) 30
44.8%
ValueCountFrequency (%)
6 1
 
1.5%
7 1
 
1.5%
8 2
3.0%
9 1
 
1.5%
10 3
4.5%
11 2
3.0%
12 4
6.0%
13 1
 
1.5%
14 1
 
1.5%
15 2
3.0%
ValueCountFrequency (%)
374 1
1.5%
318 1
1.5%
292 1
1.5%
210 1
1.5%
155 1
1.5%
149 1
1.5%
145 1
1.5%
120 1
1.5%
111 1
1.5%
110 1
1.5%

층수
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Memory size668.0 B
4
27 
5
10 
3
6 
10
3 
8
3 
Other values (12)
18 

Length

Max length4
Median length1
Mean length1.3134328
Min length1

Unique

Unique7 ?
Unique (%)10.4%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
4 27
40.3%
5 10
 
14.9%
3 6
 
9.0%
10 3
 
4.5%
8 3
 
4.5%
15 3
 
4.5%
9 2
 
3.0%
12 2
 
3.0%
4,3 2
 
3.0%
2 2
 
3.0%
Other values (7) 7
 
10.4%

Length

2024-01-06T12:33:41.829378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4 27
40.3%
5 10
 
14.9%
3 6
 
9.0%
10 3
 
4.5%
8 3
 
4.5%
15 3
 
4.5%
2 2
 
3.0%
4,3 2
 
3.0%
12 2
 
3.0%
9 2
 
3.0%
Other values (7) 7
 
10.4%

동수
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5820896
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-01-06T12:33:42.824378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1434829
Coefficient of variation (CV)0.72276749
Kurtosis6.4142541
Mean1.5820896
Median Absolute Deviation (MAD)0
Skewness2.5182524
Sum106
Variance1.3075531
MonotonicityNot monotonic
2024-01-06T12:33:43.347333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 46
68.7%
2 13
 
19.4%
3 3
 
4.5%
6 2
 
3.0%
4 2
 
3.0%
5 1
 
1.5%
ValueCountFrequency (%)
1 46
68.7%
2 13
 
19.4%
3 3
 
4.5%
4 2
 
3.0%
5 1
 
1.5%
6 2
 
3.0%
ValueCountFrequency (%)
6 2
 
3.0%
5 1
 
1.5%
4 2
 
3.0%
3 3
 
4.5%
2 13
 
19.4%
1 46
68.7%

준공일
Date

Distinct65
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
Minimum1983-06-18 00:00:00
Maximum2018-10-23 00:00:00
2024-01-06T12:33:43.753018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:33:44.318833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-01-06T12:33:28.588442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:33:25.248737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:33:26.286011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:33:27.523114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:33:28.887167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:33:25.524574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:33:26.658834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:33:27.793906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:33:29.133806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:33:25.774831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:33:26.927404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:33:28.049794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:33:29.408668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:33:26.031000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:33:27.259437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-06T12:33:28.309107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-06T12:33:44.718550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번건물명건축위치사업주체면적세대수층수동수준공일
연번1.0001.0001.0000.7930.1280.1890.6790.0001.000
건물명1.0001.0001.0000.9891.0001.0000.9610.9770.994
건축위치1.0001.0001.0001.0001.0001.0001.0001.0001.000
사업주체0.7930.9891.0001.0001.0000.9940.9860.9530.996
면적0.1281.0001.0001.0001.0000.9160.9100.6201.000
세대수0.1891.0001.0000.9940.9161.0000.9410.8871.000
층수0.6790.9611.0000.9860.9100.9411.0000.7820.998
동수0.0000.9771.0000.9530.6200.8870.7821.0000.984
준공일1.0000.9941.0000.9961.0001.0000.9980.9841.000
2024-01-06T12:33:45.119765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적세대수동수층수
연번1.0000.104-0.0270.0070.315
면적0.1041.0000.8340.4510.683
세대수-0.0270.8341.0000.5350.701
동수0.0070.4510.5351.0000.463
층수0.3150.6830.7010.4631.000

Missing values

2024-01-06T12:33:29.782898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-06T12:33:30.344367image/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

연번건물명건축위치사업주체면적세대수층수동수준공일
01장미연립전라남도 장흥군 장흥읍 건산리 683김*익210033331983-06-18
12대일연립전라남도 장흥군 장흥읍 건산리 477-1이*선 외 35233036321985-03-19
23장원연립전라남도 장흥군 장흥읍 동동리 187-1여*현 외 35243236321986-03-19
34삼보연립전라남도 장흥군 장흥읍 건산리 476이*동118918311986-07-26
45한국연립전라남도 장흥군 장흥읍 건산리 394-11한국주택조합100018311986-09-20
56장흥병원다세대전라남도 장흥군 장흥읍 건산리 412문*성6338211988-11-12
67청하연립전라남도 장흥군 장흥읍 건산리 639-2임*영973184,321989-10-25
78탐진연립전라남도 장흥군 장흥읍 건산리 492-1김*원189911411989-12-20
89한빛아파트전라남도 장흥군 장흥읍 건산리 752이*운572170531991-01-21
910탐진연립전라남도 장흥군 장흥읍 건산리 733-4안*수1920184,321990-06-12
연번건물명건축위치사업주체면적세대수층수동수준공일
5758현대빌라2차전라남도 장흥군 장흥읍 건산리 450-1에이치에스(주)140512412016-06-10
5859신강노블레스전라남도 장흥군 관산읍 옥당리 287-2신강건설(주)277828522016-11-21
5960덕양프로방스 1차전라남도 장흥군 장흥읍 건산리 62김*현146315412016-11-21
6061덕양프로방스 2차전라남도 장흥군 장흥읍 건산리 62-3여*숙140113412016-12-09
6162아이지센트럴파크 2차전라남도 장흥군 장흥읍 건산리 488-4이*표190412422016-12-29
6263중앙갤러리전라남도 장흥군 장흥읍 건산리 409중앙태성갤러리422444912017-01-26
6364블루시안전라남도 장흥군 장흥읍 건산리 182안*성152716912017-08-31
6465중우 하나린전라남도 장흥군 장흥읍 원도리 278중우건설2733271012017-12-21
6566미르채전라남도 장흥군 장흥읍 건산리 813일우토건232042101532017-12-27
6667코아루전라남도 장흥군 장흥읍 원도리 329㈜한국토지신탁445023741762018-10-23