Overview

Dataset statistics

Number of variables7
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory62.9 B

Variable types

Numeric2
Text5

Dataset

Description아산시 관내 공동주택 시공현황(아파트명칭, 대지위치,사업기간, 시공자, 시공자, 전화번호, 세대수)-------------
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=416&beforeMenuCd=DOM_000000201001001000&publicdatapk=15028631

Alerts

연번 has unique valuesUnique
아파트명칭 has unique valuesUnique
대지위치 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:23:07.881535
Analysis finished2024-01-09 22:23:08.789446
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-01-10T07:23:08.835629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q17.5
median14
Q320.5
95-th percentile25.7
Maximum27
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.56694671
Kurtosis-1.2
Mean14
Median Absolute Deviation (MAD)7
Skewness0
Sum378
Variance63
MonotonicityStrictly increasing
2024-01-10T07:23:08.949507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 1
 
3.7%
2 1
 
3.7%
27 1
 
3.7%
26 1
 
3.7%
25 1
 
3.7%
24 1
 
3.7%
23 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
10 1
3.7%
ValueCountFrequency (%)
27 1
3.7%
26 1
3.7%
25 1
3.7%
24 1
3.7%
23 1
3.7%
22 1
3.7%
21 1
3.7%
20 1
3.7%
19 1
3.7%
18 1
3.7%

아파트명칭
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-01-10T07:23:09.103380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length10.222222
Min length7

Characters and Unicode

Total characters276
Distinct characters86
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row신창모아엘가1단지
2nd row탕정 호반 1단지
3rd row탕정 호반 2단지
4th row탕정 호반 3단지
5th row탕정 호반 5단지
ValueCountFrequency (%)
공동주택 8
 
13.1%
탕정 6
 
9.8%
호반 5
 
8.2%
신축공사 3
 
4.9%
용화체육공원 2
 
3.3%
아산 2
 
3.3%
음봉스마트밸리 2
 
3.3%
도시형생활주택 2
 
3.3%
펜테리움 1
 
1.6%
금강 1
 
1.6%
Other values (29) 29
47.5%
2024-01-10T07:23:09.402417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
13.0%
공 15
 
5.4%
동 11
 
4.0%
2 11
 
4.0%
택 11
 
4.0%
주 11
 
4.0%
지 9
 
3.3%
1 9
 
3.3%
단 7
 
2.5%
탕 6
 
2.2%
Other values (76) 150
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 197
71.4%
Space Separator 36
 
13.0%
Decimal Number 27
 
9.8%
Uppercase Letter 13
 
4.7%
Dash Punctuation 2
 
0.7%
Lowercase Letter 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 15
 
7.6%
동 11
 
5.6%
택 11
 
5.6%
주 11
 
5.6%
지 9
 
4.6%
단 7
 
3.6%
탕 6
 
3.0%
정 6
 
3.0%
리 6
 
3.0%
신 6
 
3.0%
Other values (61) 109
55.3%
Decimal Number
ValueCountFrequency (%)
2 11
40.7%
1 9
33.3%
7 2
 
7.4%
5 2
 
7.4%
4 1
 
3.7%
3 1
 
3.7%
6 1
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
B 4
30.8%
A 3
23.1%
L 3
23.1%
C 2
15.4%
D 1
 
7.7%
Space Separator
ValueCountFrequency (%)
36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 197
71.4%
Common 65
 
23.6%
Latin 14
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 15
 
7.6%
동 11
 
5.6%
택 11
 
5.6%
주 11
 
5.6%
지 9
 
4.6%
단 7
 
3.6%
탕 6
 
3.0%
정 6
 
3.0%
리 6
 
3.0%
신 6
 
3.0%
Other values (61) 109
55.3%
Common
ValueCountFrequency (%)
36
55.4%
2 11
 
16.9%
1 9
 
13.8%
- 2
 
3.1%
7 2
 
3.1%
5 2
 
3.1%
4 1
 
1.5%
3 1
 
1.5%
6 1
 
1.5%
Latin
ValueCountFrequency (%)
B 4
28.6%
A 3
21.4%
L 3
21.4%
C 2
14.3%
D 1
 
7.1%
b 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 197
71.4%
ASCII 79
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
45.6%
2 11
 
13.9%
1 9
 
11.4%
B 4
 
5.1%
A 3
 
3.8%
L 3
 
3.8%
- 2
 
2.5%
7 2
 
2.5%
C 2
 
2.5%
5 2
 
2.5%
Other values (5) 5
 
6.3%
Hangul
ValueCountFrequency (%)
공 15
 
7.6%
동 11
 
5.6%
택 11
 
5.6%
주 11
 
5.6%
지 9
 
4.6%
단 7
 
3.6%
탕 6
 
3.0%
정 6
 
3.0%
리 6
 
3.0%
신 6
 
3.0%
Other values (61) 109
55.3%

대지위치
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-01-10T07:23:09.583797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length11.777778
Min length8

Characters and Unicode

Total characters318
Distinct characters61
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row신창면 남성리 152-7
2nd row탕정일반산업단지 D1-1
3rd row탕정일반산업단지 D1-2
4th row탕정일반산업단지 D2-1
5th row탕정일반산업단지 D3-1
ValueCountFrequency (%)
배방읍 5
 
7.1%
탕정일반산업단지 5
 
7.1%
신창면 4
 
5.7%
남성리 4
 
5.7%
용화동 3
 
4.3%
세교리 2
 
2.9%
용두리 2
 
2.9%
탕정면 2
 
2.9%
스마트밸리 2
 
2.9%
음봉면 2
 
2.9%
Other values (37) 39
55.7%
2024-01-10T07:23:09.935432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43
 
13.5%
1 27
 
8.5%
2 17
 
5.3%
- 17
 
5.3%
리 16
 
5.0%
3 10
 
3.1%
면 9
 
2.8%
정 8
 
2.5%
탕 8
 
2.5%
동 8
 
2.5%
Other values (51) 155
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 162
50.9%
Decimal Number 87
27.4%
Space Separator 43
 
13.5%
Dash Punctuation 17
 
5.3%
Uppercase Letter 9
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 16
 
9.9%
면 9
 
5.6%
정 8
 
4.9%
탕 8
 
4.9%
동 8
 
4.9%
산 8
 
4.9%
지 7
 
4.3%
방 6
 
3.7%
일 5
 
3.1%
반 5
 
3.1%
Other values (36) 82
50.6%
Decimal Number
ValueCountFrequency (%)
1 27
31.0%
2 17
19.5%
3 10
 
11.5%
0 8
 
9.2%
7 6
 
6.9%
8 5
 
5.7%
5 5
 
5.7%
4 4
 
4.6%
6 3
 
3.4%
9 2
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
D 6
66.7%
C 2
 
22.2%
A 1
 
11.1%
Space Separator
ValueCountFrequency (%)
43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 162
50.9%
Common 147
46.2%
Latin 9
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 16
 
9.9%
면 9
 
5.6%
정 8
 
4.9%
탕 8
 
4.9%
동 8
 
4.9%
산 8
 
4.9%
지 7
 
4.3%
방 6
 
3.7%
일 5
 
3.1%
반 5
 
3.1%
Other values (36) 82
50.6%
Common
ValueCountFrequency (%)
43
29.3%
1 27
18.4%
2 17
 
11.6%
- 17
 
11.6%
3 10
 
6.8%
0 8
 
5.4%
7 6
 
4.1%
8 5
 
3.4%
5 5
 
3.4%
4 4
 
2.7%
Other values (2) 5
 
3.4%
Latin
ValueCountFrequency (%)
D 6
66.7%
C 2
 
22.2%
A 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 162
50.9%
ASCII 156
49.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43
27.6%
1 27
17.3%
2 17
 
10.9%
- 17
 
10.9%
3 10
 
6.4%
0 8
 
5.1%
7 6
 
3.8%
D 6
 
3.8%
8 5
 
3.2%
5 5
 
3.2%
Other values (5) 12
 
7.7%
Hangul
ValueCountFrequency (%)
리 16
 
9.9%
면 9
 
5.6%
정 8
 
4.9%
탕 8
 
4.9%
동 8
 
4.9%
산 8
 
4.9%
지 7
 
4.3%
방 6
 
3.7%
일 5
 
3.1%
반 5
 
3.1%
Other values (36) 82
50.6%

사업기간
Text

Distinct21
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-01-10T07:23:10.086776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters567
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)66.7%

Sample

1st row2020-09-04~2023-07-10
2nd row2020-11-19~2023-06-30
3rd row2020-11-19~2023-06-30
4th row2020-11-19~2023-06-30
5th row2020-11-19~2023-06-30
ValueCountFrequency (%)
2020-11-19~2023-06-30 5
18.5%
2022-11-03~2025-04-25 2
 
7.4%
2021-11-29~2023-12-31 2
 
7.4%
2021-06-30~2023-12-31 1
 
3.7%
2020-09-04~2023-07-10 1
 
3.7%
2021-10-05~2023-05-31 1
 
3.7%
2023-01-27~2025-12-31 1
 
3.7%
2022-09-01~2025-06-30 1
 
3.7%
2022-08-19~2025-08-18 1
 
3.7%
2022-07-15~2024-12-31 1
 
3.7%
Other values (11) 11
40.7%
2024-01-10T07:23:10.325518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 133
23.5%
0 120
21.2%
- 108
19.0%
1 72
12.7%
3 42
 
7.4%
~ 27
 
4.8%
9 15
 
2.6%
5 14
 
2.5%
6 12
 
2.1%
4 11
 
1.9%
Other values (2) 13
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 432
76.2%
Dash Punctuation 108
 
19.0%
Math Symbol 27
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 133
30.8%
0 120
27.8%
1 72
16.7%
3 42
 
9.7%
9 15
 
3.5%
5 14
 
3.2%
6 12
 
2.8%
4 11
 
2.5%
8 7
 
1.6%
7 6
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%
Math Symbol
ValueCountFrequency (%)
~ 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 567
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 133
23.5%
0 120
21.2%
- 108
19.0%
1 72
12.7%
3 42
 
7.4%
~ 27
 
4.8%
9 15
 
2.6%
5 14
 
2.5%
6 12
 
2.1%
4 11
 
1.9%
Other values (2) 13
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 567
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 133
23.5%
0 120
21.2%
- 108
19.0%
1 72
12.7%
3 42
 
7.4%
~ 27
 
4.8%
9 15
 
2.6%
5 14
 
2.5%
6 12
 
2.1%
4 11
 
1.9%
Other values (2) 13
 
2.3%

시공자
Text

Distinct21
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-01-10T07:23:10.473293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length5
Mean length6.1481481
Min length3

Characters and Unicode

Total characters166
Distinct characters56
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)66.7%

Sample

1st row혜림건설㈜
2nd row㈜호반건설
3rd row㈜호반건설
4th row㈜호반건설
5th row㈜호반건설
ValueCountFrequency (%)
㈜호반건설 5
 
16.7%
지에스건설(주 2
 
6.7%
은성건설㈜ 2
 
6.7%
㈜한라 1
 
3.3%
혜림건설㈜ 1
 
3.3%
케이콘스 1
 
3.3%
㈜알비디 1
 
3.3%
지에스건설㈜ 1
 
3.3%
현대건설㈜ 1
 
3.3%
㈜금강주택 1
 
3.3%
Other values (14) 14
46.7%
2024-01-10T07:23:10.717743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 24
 
14.5%
건 20
 
12.0%
설 18
 
10.8%
스 5
 
3.0%
호 5
 
3.0%
주 5
 
3.0%
반 5
 
3.0%
( 4
 
2.4%
) 4
 
2.4%
지 4
 
2.4%
Other values (46) 72
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 131
78.9%
Other Symbol 24
 
14.5%
Open Punctuation 4
 
2.4%
Close Punctuation 4
 
2.4%
Space Separator 3
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 20
 
15.3%
설 18
 
13.7%
스 5
 
3.8%
호 5
 
3.8%
주 5
 
3.8%
반 5
 
3.8%
지 4
 
3.1%
대 4
 
3.1%
성 3
 
2.3%
에 3
 
2.3%
Other values (42) 59
45.0%
Other Symbol
ValueCountFrequency (%)
㈜ 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155
93.4%
Common 11
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 24
 
15.5%
건 20
 
12.9%
설 18
 
11.6%
스 5
 
3.2%
호 5
 
3.2%
주 5
 
3.2%
반 5
 
3.2%
지 4
 
2.6%
대 4
 
2.6%
성 3
 
1.9%
Other values (43) 62
40.0%
Common
ValueCountFrequency (%)
( 4
36.4%
) 4
36.4%
3
27.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 131
78.9%
None 24
 
14.5%
ASCII 11
 
6.6%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 24
100.0%
Hangul
ValueCountFrequency (%)
건 20
 
15.3%
설 18
 
13.7%
스 5
 
3.8%
호 5
 
3.8%
주 5
 
3.8%
반 5
 
3.8%
지 4
 
3.1%
대 4
 
3.1%
성 3
 
2.3%
에 3
 
2.3%
Other values (42) 59
45.0%
ASCII
ValueCountFrequency (%)
( 4
36.4%
) 4
36.4%
3
27.3%

시공자 전화번호
Text

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-01-10T07:23:10.882435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.222222
Min length11

Characters and Unicode

Total characters330
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)85.2%

Sample

1st row041-531-8010
2nd row070-4760-4423
3rd row070-4760-6237
4th row070-4760-6228
5th row070-4760-6504
ValueCountFrequency (%)
041-564-3740 2
 
7.4%
02-507-2255 2
 
7.4%
041-534-1798 1
 
3.7%
041-531-8010 1
 
3.7%
041-532-7071 1
 
3.7%
041-549-6062 1
 
3.7%
070-4888-3112 1
 
3.7%
041-549-9006 1
 
3.7%
041-541-1666 1
 
3.7%
041-532-8848 1
 
3.7%
Other values (15) 15
55.6%
2024-01-10T07:23:11.144598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 58
17.6%
- 54
16.4%
4 44
13.3%
1 32
9.7%
5 30
9.1%
7 24
7.3%
6 22
 
6.7%
2 22
 
6.7%
3 20
 
6.1%
8 15
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 276
83.6%
Dash Punctuation 54
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 58
21.0%
4 44
15.9%
1 32
11.6%
5 30
10.9%
7 24
8.7%
6 22
 
8.0%
2 22
 
8.0%
3 20
 
7.2%
8 15
 
5.4%
9 9
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 330
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 58
17.6%
- 54
16.4%
4 44
13.3%
1 32
9.7%
5 30
9.1%
7 24
7.3%
6 22
 
6.7%
2 22
 
6.7%
3 20
 
6.1%
8 15
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 330
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 58
17.6%
- 54
16.4%
4 44
13.3%
1 32
9.7%
5 30
9.1%
7 24
7.3%
6 22
 
6.7%
2 22
 
6.7%
3 20
 
6.1%
8 15
 
4.5%

세대수
Real number (ℝ)

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean632.2963
Minimum95
Maximum1016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-01-10T07:23:11.246997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile196.2
Q1447
median704
Q3835.5
95-th percentile998
Maximum1016
Range921
Interquartile range (IQR)388.5

Descriptive statistics

Standard deviation277.98863
Coefficient of variation (CV)0.43964931
Kurtosis-0.99354015
Mean632.2963
Median Absolute Deviation (MAD)223
Skewness-0.3894849
Sum17072
Variance77277.678
MonotonicityNot monotonic
2024-01-10T07:23:11.341529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
998 2
 
7.4%
922 1
 
3.7%
95 1
 
3.7%
450 1
 
3.7%
787 1
 
3.7%
849 1
 
3.7%
739 1
 
3.7%
438 1
 
3.7%
603 1
 
3.7%
498 1
 
3.7%
Other values (16) 16
59.3%
ValueCountFrequency (%)
95 1
3.7%
195 1
3.7%
199 1
3.7%
200 1
3.7%
303 1
3.7%
438 1
3.7%
444 1
3.7%
450 1
3.7%
459 1
3.7%
489 1
3.7%
ValueCountFrequency (%)
1016 1
3.7%
998 2
7.4%
939 1
3.7%
927 1
3.7%
922 1
3.7%
849 1
3.7%
822 1
3.7%
817 1
3.7%
787 1
3.7%
763 1
3.7%

Interactions

2024-01-10T07:23:08.299601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:23:08.178766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:23:08.362889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:23:08.240306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:23:11.407544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번아파트명칭대지위치사업기간시공자시공자 전화번호세대수
연번1.0001.0001.0000.9380.9380.9720.381
아파트명칭1.0001.0001.0001.0001.0001.0001.000
대지위치1.0001.0001.0001.0001.0001.0001.000
사업기간0.9381.0001.0001.0001.0001.0000.645
시공자0.9381.0001.0001.0001.0001.0000.645
시공자 전화번호0.9721.0001.0001.0001.0001.0000.959
세대수0.3811.0001.0000.6450.6450.9591.000
2024-01-10T07:23:11.492289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번세대수
연번1.000-0.305
세대수-0.3051.000

Missing values

2024-01-10T07:23:08.442323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:23:08.532565image/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

연번아파트명칭대지위치사업기간시공자시공자 전화번호세대수
01신창모아엘가1단지신창면 남성리 152-72020-09-04~2023-07-10혜림건설㈜041-531-8010922
12탕정 호반 1단지탕정일반산업단지 D1-12020-11-19~2023-06-30㈜호반건설070-4760-4423756
23탕정 호반 2단지탕정일반산업단지 D1-22020-11-19~2023-06-30㈜호반건설070-4760-6237817
34탕정 호반 3단지탕정일반산업단지 D2-12020-11-19~2023-06-30㈜호반건설070-4760-6228662
45탕정 호반 5단지탕정일반산업단지 D3-12020-11-19~2023-06-30㈜호반건설070-4760-6504489
56탕정 호반 6단지탕정일반산업단지 D3-22020-11-19~2023-06-30㈜호반건설070-4760-5221303
67용화남산2지구공동주택용화동 480-32020-11-30~2023-07-31대창기업㈜041-531-0935763
78신창르네상스더힐신창면 남성리 140-12020-12-10~2023-08-09㈜건양이엔씨041-534-38341016
89북수리 공동주택배방읍 북수리 3892021-02-16~2023-10-15㈜포스코건설070-8890-5309939
910모아엘가2단지신창면 남성리 158-12021-03-12~2024-01-11㈜혜림건설041-533-8010998
연번아파트명칭대지위치사업기간시공자시공자 전화번호세대수
1718도시형생활주택 724탕정면 용두리 7242021-11-29~2023-12-31은성건설㈜02-507-2255200
1819탕정 2-A12블록아산탕정지구 2-A122022-02-14~2024-07-31㈜대광건영041-549-7753459
1920공수리 공동주택배방읍 공수리 280-32022-06-15~2024-09-16라온건설(주)041-532-8848195
2021방축동 공동주택 신축공사방축동 136-12022-07-15~2024-12-31새천년종합건설㈜041-541-1666498
2122권곡동 공동주택 신축공사권곡동 240-22022-08-19~2025-08-18㈜한신공영041-549-9006603
2223금강 펜테리움배방읍 세교리 15622022-09-01~2025-06-30㈜금강주택070-4888-3112438
2324용화체육공원 1BL 공동주택용화동 137-12022-11-03~2025-04-25지에스건설(주)041-564-3740739
2425용화체육공원 2BL 공동주택용화동 133-22022-11-03~2025-04-25지에스건설(주)041-564-3740849
25262-A11BL 공동주택배방읍 세교리 16002023-01-27~2025-12-31현대건설㈜ 지에스건설㈜041-549-6062787
2627아산 광신 프로그레스 신축공사신창면 남성리 177-32023-01-09~2025-07-08(주)광신종합건설041-534-2611450