Overview

Dataset statistics

Number of variables8
Number of observations198
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.9 KiB
Average record size in memory66.7 B

Variable types

Numeric2
Text5
DateTime1

Dataset

Description부천시 관내 의무관리 공동주택에 대한 정보로 단지명, 지번 주소, 도로명 주소, 세대수, 사용승인일, 등을 제공합니다.
URLhttps://www.data.go.kr/data/3079747/fileData.do

Alerts

일련번호 has unique valuesUnique
단지명 has unique valuesUnique
관리사무소 연락처 has unique valuesUnique
팩스번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:29:55.722601
Analysis finished2023-12-12 06:29:57.086626
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct198
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.5
Minimum1
Maximum198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T15:29:57.209956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.85
Q150.25
median99.5
Q3148.75
95-th percentile188.15
Maximum198
Range197
Interquartile range (IQR)98.5

Descriptive statistics

Standard deviation57.301832
Coefficient of variation (CV)0.57589781
Kurtosis-1.2
Mean99.5
Median Absolute Deviation (MAD)49.5
Skewness0
Sum19701
Variance3283.5
MonotonicityStrictly increasing
2023-12-12T15:29:57.379895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
126 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
Other values (188) 188
94.9%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%

단지명
Text

UNIQUE 

Distinct198
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T15:29:57.657691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length10.060606
Min length3

Characters and Unicode

Total characters1992
Distinct characters225
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique198 ?
Unique (%)100.0%

Sample

1st row삼익아파트(1，2，5동)
2nd row부천극동아파트
3rd row일두맨션아파트
4th row롯데아파트
5th row한신아파트
ValueCountFrequency (%)
라일락마을 5
 
1.6%
진달래마을 5
 
1.6%
반달마을 5
 
1.6%
백송마을 4
 
1.3%
덕유마을 4
 
1.3%
그린타운 4
 
1.3%
다정한마을 4
 
1.3%
은하마을 4
 
1.3%
한아름마을 4
 
1.3%
꿈마을 3
 
1.0%
Other values (225) 263
86.2%
2023-12-12T15:29:58.132231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 150
 
7.5%
트 140
 
7.0%
파 125
 
6.3%
108
 
5.4%
을 76
 
3.8%
마 76
 
3.8%
지 52
 
2.6%
단 38
 
1.9%
한 37
 
1.9%
동 35
 
1.8%
Other values (215) 1155
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1769
88.8%
Space Separator 108
 
5.4%
Decimal Number 55
 
2.8%
Other Punctuation 22
 
1.1%
Uppercase Letter 18
 
0.9%
Lowercase Letter 8
 
0.4%
Dash Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 150
 
8.5%
트 140
 
7.9%
파 125
 
7.1%
을 76
 
4.3%
마 76
 
4.3%
지 52
 
2.9%
단 38
 
2.1%
한 37
 
2.1%
동 35
 
2.0%
이 30
 
1.7%
Other values (193) 1010
57.1%
Uppercase Letter
ValueCountFrequency (%)
C 5
27.8%
S 3
16.7%
K 3
16.7%
B 2
 
11.1%
G 2
 
11.1%
A 1
 
5.6%
L 1
 
5.6%
Y 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 17
30.9%
1 17
30.9%
3 10
18.2%
4 5
 
9.1%
5 4
 
7.3%
8 1
 
1.8%
6 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
， 21
95.5%
/ 1
 
4.5%
Space Separator
ValueCountFrequency (%)
108
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1769
88.8%
Common 197
 
9.9%
Latin 26
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 150
 
8.5%
트 140
 
7.9%
파 125
 
7.1%
을 76
 
4.3%
마 76
 
4.3%
지 52
 
2.9%
단 38
 
2.1%
한 37
 
2.1%
동 35
 
2.0%
이 30
 
1.7%
Other values (193) 1010
57.1%
Common
ValueCountFrequency (%)
108
54.8%
， 21
 
10.7%
2 17
 
8.6%
1 17
 
8.6%
3 10
 
5.1%
4 5
 
2.5%
- 4
 
2.0%
( 4
 
2.0%
) 4
 
2.0%
5 4
 
2.0%
Other values (3) 3
 
1.5%
Latin
ValueCountFrequency (%)
e 8
30.8%
C 5
19.2%
S 3
 
11.5%
K 3
 
11.5%
B 2
 
7.7%
G 2
 
7.7%
A 1
 
3.8%
L 1
 
3.8%
Y 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1769
88.8%
ASCII 202
 
10.1%
None 21
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 150
 
8.5%
트 140
 
7.9%
파 125
 
7.1%
을 76
 
4.3%
마 76
 
4.3%
지 52
 
2.9%
단 38
 
2.1%
한 37
 
2.1%
동 35
 
2.0%
이 30
 
1.7%
Other values (193) 1010
57.1%
ASCII
ValueCountFrequency (%)
108
53.5%
2 17
 
8.4%
1 17
 
8.4%
3 10
 
5.0%
e 8
 
4.0%
4 5
 
2.5%
C 5
 
2.5%
- 4
 
2.0%
( 4
 
2.0%
) 4
 
2.0%
Other values (11) 20
 
9.9%
None
ValueCountFrequency (%)
， 21
100.0%

지번주소
Text

Distinct191
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T15:29:58.641256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length15.939394
Min length14

Characters and Unicode

Total characters3156
Distinct characters49
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

Unique186 ?
Unique (%)93.9%

Sample

1st row경기도 부천시 송내동 607
2nd row경기도 부천시 심곡본동 566-1
3rd row경기도 부천시 역곡동 75
4th row경기도 부천시 심곡본동 617-11
5th row경기도 부천시 소사본동 277-12
ValueCountFrequency (%)
경기도 198
25.0%
부천시 198
25.0%
중동 48
 
6.1%
상동 45
 
5.7%
송내동 18
 
2.3%
소사본동 15
 
1.9%
역곡동 11
 
1.4%
옥길동 10
 
1.3%
괴안동 8
 
1.0%
범박동 7
 
0.9%
Other values (199) 234
29.5%
2023-12-12T15:29:59.237263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
597
18.9%
경 198
 
6.3%
기 198
 
6.3%
도 198
 
6.3%
부 198
 
6.3%
천 198
 
6.3%
시 198
 
6.3%
동 198
 
6.3%
1 188
 
6.0%
- 105
 
3.3%
Other values (39) 880
27.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1706
54.1%
Decimal Number 748
23.7%
Space Separator 597
 
18.9%
Dash Punctuation 105
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 198
11.6%
기 198
11.6%
도 198
11.6%
부 198
11.6%
천 198
11.6%
시 198
11.6%
동 198
11.6%
중 48
 
2.8%
상 45
 
2.6%
내 18
 
1.1%
Other values (27) 209
12.3%
Decimal Number
ValueCountFrequency (%)
1 188
25.1%
2 85
11.4%
0 79
10.6%
5 75
 
10.0%
7 74
 
9.9%
3 69
 
9.2%
4 66
 
8.8%
6 41
 
5.5%
8 38
 
5.1%
9 33
 
4.4%
Space Separator
ValueCountFrequency (%)
597
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1706
54.1%
Common 1450
45.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 198
11.6%
기 198
11.6%
도 198
11.6%
부 198
11.6%
천 198
11.6%
시 198
11.6%
동 198
11.6%
중 48
 
2.8%
상 45
 
2.6%
내 18
 
1.1%
Other values (27) 209
12.3%
Common
ValueCountFrequency (%)
597
41.2%
1 188
 
13.0%
- 105
 
7.2%
2 85
 
5.9%
0 79
 
5.4%
5 75
 
5.2%
7 74
 
5.1%
3 69
 
4.8%
4 66
 
4.6%
6 41
 
2.8%
Other values (2) 71
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1706
54.1%
ASCII 1450
45.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
597
41.2%
1 188
 
13.0%
- 105
 
7.2%
2 85
 
5.9%
0 79
 
5.4%
5 75
 
5.2%
7 74
 
5.1%
3 69
 
4.8%
4 66
 
4.6%
6 41
 
2.8%
Other values (2) 71
 
4.9%
Hangul
ValueCountFrequency (%)
경 198
11.6%
기 198
11.6%
도 198
11.6%
부 198
11.6%
천 198
11.6%
시 198
11.6%
동 198
11.6%
중 48
 
2.8%
상 45
 
2.6%
내 18
 
1.1%
Other values (27) 209
12.3%

세대수
Real number (ℝ)

Distinct176
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean623.19192
Minimum150
Maximum3090
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T15:29:59.427096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile161.85
Q1330
median531.5
Q3834.75
95-th percentile1391.2
Maximum3090
Range2940
Interquartile range (IQR)504.75

Descriptive statistics

Standard deviation403.6897
Coefficient of variation (CV)0.6477775
Kurtosis6.5691754
Mean623.19192
Median Absolute Deviation (MAD)247.5
Skewness1.8046622
Sum123392
Variance162965.37
MonotonicityNot monotonic
2023-12-12T15:29:59.591138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
382 3
 
1.5%
238 3
 
1.5%
150 3
 
1.5%
550 2
 
1.0%
918 2
 
1.0%
270 2
 
1.0%
616 2
 
1.0%
244 2
 
1.0%
915 2
 
1.0%
330 2
 
1.0%
Other values (166) 175
88.4%
ValueCountFrequency (%)
150 3
1.5%
152 2
1.0%
153 1
 
0.5%
154 1
 
0.5%
155 1
 
0.5%
158 1
 
0.5%
161 1
 
0.5%
162 1
 
0.5%
163 1
 
0.5%
165 1
 
0.5%
ValueCountFrequency (%)
3090 1
0.5%
1962 1
0.5%
1613 1
0.5%
1590 1
0.5%
1540 1
0.5%
1473 1
0.5%
1454 1
0.5%
1428 1
0.5%
1420 1
0.5%
1398 1
0.5%

사용승인일
Date

Distinct177
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum1979-05-15 00:00:00
Maximum2022-02-16 00:00:00
2023-12-12T15:29:59.744754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:29:59.963044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리사무소 연락처
Text

UNIQUE 

Distinct198
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T15:30:00.338742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.005051
Min length12

Characters and Unicode

Total characters2377
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

Unique198 ?
Unique (%)100.0%

Sample

1st row032-666-5312
2nd row032-657-7938
3rd row032-343-0747
4th row032-652-0116
5th row032-346-2970
ValueCountFrequency (%)
032-666-5312 1
 
0.5%
032-323-0260 1
 
0.5%
032-682-6464 1
 
0.5%
032-663-4453 1
 
0.5%
032-346-4600 1
 
0.5%
032-671-0343 1
 
0.5%
032-328-5747 1
 
0.5%
032-614-4901 1
 
0.5%
032-343-4205 1
 
0.5%
032-341-5767 1
 
0.5%
Other values (188) 188
94.9%
2023-12-12T15:30:00.758822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 435
18.3%
- 396
16.7%
2 392
16.5%
0 316
13.3%
6 180
7.6%
1 152
 
6.4%
4 127
 
5.3%
5 108
 
4.5%
7 106
 
4.5%
8 99
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1981
83.3%
Dash Punctuation 396
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 435
22.0%
2 392
19.8%
0 316
16.0%
6 180
9.1%
1 152
 
7.7%
4 127
 
6.4%
5 108
 
5.5%
7 106
 
5.4%
8 99
 
5.0%
9 66
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 396
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2377
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 435
18.3%
- 396
16.7%
2 392
16.5%
0 316
13.3%
6 180
7.6%
1 152
 
6.4%
4 127
 
5.3%
5 108
 
4.5%
7 106
 
4.5%
8 99
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2377
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 435
18.3%
- 396
16.7%
2 392
16.5%
0 316
13.3%
6 180
7.6%
1 152
 
6.4%
4 127
 
5.3%
5 108
 
4.5%
7 106
 
4.5%
8 99
 
4.2%

팩스번호
Text

UNIQUE 

Distinct198
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T15:30:01.045706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.005051
Min length12

Characters and Unicode

Total characters2377
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

Unique198 ?
Unique (%)100.0%

Sample

1st row032-666-5312
2nd row032-657-7938
3rd row032-343-0747
4th row032-652-0116
5th row032-346-2970
ValueCountFrequency (%)
032-666-5312 1
 
0.5%
032-323-0260 1
 
0.5%
032-682-6464 1
 
0.5%
032-663-4453 1
 
0.5%
032-346-4600 1
 
0.5%
032-671-0343 1
 
0.5%
032-328-5747 1
 
0.5%
032-614-4901 1
 
0.5%
032-343-4205 1
 
0.5%
032-341-5767 1
 
0.5%
Other values (188) 188
94.9%
2023-12-12T15:30:01.483114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 435
18.3%
- 396
16.7%
2 392
16.5%
0 316
13.3%
6 180
7.6%
1 152
 
6.4%
4 127
 
5.3%
5 108
 
4.5%
7 106
 
4.5%
8 99
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1981
83.3%
Dash Punctuation 396
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 435
22.0%
2 392
19.8%
0 316
16.0%
6 180
9.1%
1 152
 
7.7%
4 127
 
6.4%
5 108
 
5.5%
7 106
 
5.4%
8 99
 
5.0%
9 66
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 396
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2377
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 435
18.3%
- 396
16.7%
2 392
16.5%
0 316
13.3%
6 180
7.6%
1 152
 
6.4%
4 127
 
5.3%
5 108
 
4.5%
7 106
 
4.5%
8 99
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2377
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 435
18.3%
- 396
16.7%
2 392
16.5%
0 316
13.3%
6 180
7.6%
1 152
 
6.4%
4 127
 
5.3%
5 108
 
4.5%
7 106
 
4.5%
8 99
 
4.2%

도로명주소
Text

Distinct191
Distinct (%)97.0%
Missing1
Missing (%)0.5%
Memory size1.7 KiB
2023-12-12T15:30:01.982207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length16.375635
Min length13

Characters and Unicode

Total characters3226
Distinct characters70
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

Unique186 ?
Unique (%)94.4%

Sample

1st row경기도 부천시 경인로 134번길 75
2nd row경기도 부천시 성주로 226-2
3rd row경기도 부천시 부일로 725번길 17
4th row경기도 부천시 심곡로 67번길 74
5th row경기도 부천시 소사로 170번길 81
ValueCountFrequency (%)
경기도 197
23.3%
부천시 197
23.3%
중동로 14
 
1.7%
경인로 13
 
1.5%
조마루로 12
 
1.4%
도약로 11
 
1.3%
계남로 11
 
1.3%
소사로 11
 
1.3%
부흥로 9
 
1.1%
길주로 7
 
0.8%
Other values (216) 363
43.0%
2023-12-12T15:30:02.571018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
648
20.1%
경 212
 
6.6%
부 212
 
6.6%
도 209
 
6.5%
천 202
 
6.3%
시 197
 
6.1%
기 197
 
6.1%
로 197
 
6.1%
1 127
 
3.9%
2 104
 
3.2%
Other values (60) 921
28.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1910
59.2%
Decimal Number 653
 
20.2%
Space Separator 648
 
20.1%
Dash Punctuation 15
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 212
11.1%
부 212
11.1%
도 209
10.9%
천 202
10.6%
시 197
10.3%
기 197
10.3%
로 197
10.3%
길 68
 
3.6%
번 59
 
3.1%
소 22
 
1.2%
Other values (48) 335
17.5%
Decimal Number
ValueCountFrequency (%)
1 127
19.4%
2 104
15.9%
7 65
10.0%
3 65
10.0%
4 60
9.2%
6 58
8.9%
0 52
8.0%
5 46
 
7.0%
8 45
 
6.9%
9 31
 
4.7%
Space Separator
ValueCountFrequency (%)
648
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1910
59.2%
Common 1316
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 212
11.1%
부 212
11.1%
도 209
10.9%
천 202
10.6%
시 197
10.3%
기 197
10.3%
로 197
10.3%
길 68
 
3.6%
번 59
 
3.1%
소 22
 
1.2%
Other values (48) 335
17.5%
Common
ValueCountFrequency (%)
648
49.2%
1 127
 
9.7%
2 104
 
7.9%
7 65
 
4.9%
3 65
 
4.9%
4 60
 
4.6%
6 58
 
4.4%
0 52
 
4.0%
5 46
 
3.5%
8 45
 
3.4%
Other values (2) 46
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1910
59.2%
ASCII 1316
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
648
49.2%
1 127
 
9.7%
2 104
 
7.9%
7 65
 
4.9%
3 65
 
4.9%
4 60
 
4.6%
6 58
 
4.4%
0 52
 
4.0%
5 46
 
3.5%
8 45
 
3.4%
Other values (2) 46
 
3.5%
Hangul
ValueCountFrequency (%)
경 212
11.1%
부 212
11.1%
도 209
10.9%
천 202
10.6%
시 197
10.3%
기 197
10.3%
로 197
10.3%
길 68
 
3.6%
번 59
 
3.1%
소 22
 
1.2%
Other values (48) 335
17.5%

Interactions

2023-12-12T15:29:56.287027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:29:56.021595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:29:56.694495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:29:56.142949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:30:02.685366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호세대수
일련번호1.0000.145
세대수0.1451.000
2023-12-12T15:30:02.828077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호세대수
일련번호1.000-0.128
세대수-0.1281.000

Missing values

2023-12-12T15:29:56.849385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:29:57.023371image/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

일련번호단지명지번주소세대수사용승인일관리사무소 연락처팩스번호도로명주소
01삼익아파트(1，2，5동)경기도 부천시 송내동 6075501979-05-15032-666-5312032-666-5312경기도 부천시 경인로 134번길 75
12부천극동아파트경기도 부천시 심곡본동 566-14951980-01-01032-657-7938032-657-7938경기도 부천시 성주로 226-2
23일두맨션아파트경기도 부천시 역곡동 753151983-06-01032-343-0747032-343-0747경기도 부천시 부일로 725번길 17
34롯데아파트경기도 부천시 심곡본동 617-114631984-11-09032-652-0116032-652-0116경기도 부천시 심곡로 67번길 74
45한신아파트경기도 부천시 소사본동 277-129161984-12-29032-346-2970032-346-2970경기도 부천시 소사로 170번길 81
56역곡조공2차아파트경기도 부천시 괴안동 323201985-04-20032-341-8158032-341-8158경기도 부천시 안곡로 22
67동신고층아파트경기도 부천시 송내동 441-83801985-11-26032-651-1404032-651-1404경기도 부천시 성주로 66
78고강1차，2차아파트경기도 부천시 고강동 246-53381986-06-03032-671-3133032-671-3133경기도 부천시 고강로 154번길 37
89청실고층아파트경기도 부천시 송내동 3801651986-08-13032-656-4838032-656-4838경기도 부천시 경인로 120번길 11
910성지아파트경기도 부천시 소사본동 91-682641988-01-23032-347-5735032-347-5735경기도 부천시 경인로 324번길 38
일련번호단지명지번주소세대수사용승인일관리사무소 연락처팩스번호도로명주소
188189중동해링턴플레이스경기도 부천시 중동 12983392019-11-27032-611-2011032-611-2011경기도 부천시 심중로 67
189190중동센트럴파크푸르지오아파트경기도 부천시 중동 13009992020-01-22032-329-7921032-329-7921경기도 부천시 소향로 181
190191성진힐스아파트경기도 부천시 송내동 387-21532020-02-05032-668-9591032-668-9591경기도 부천시 경인로92번길 21
191192길성그랑프리텔경기도 부천시 원종동 284-31552020-03-05032-673-8881032-673-8881경기도 부천시 소사로748번길 29
192193이편한세상 온수역경기도 부천시 괴안동 2689212020-04-22032-351-9808032-351-9808경기도 부천시 경인로 605
193194부천 한신더휴 메트로경기도 부천시 소사본동 70-162992020-04-29032-342-7285032-342-7285경기도 부천시 경인옛로 25
194195부천동도센트리움까치울숲경기도 부천시 작동 5-12382021-05-24032-675-0103032-675-0103경기도 부천시 삼작로 465
195196래미안 부천어반비스타경기도 부천시 송내동 427-328312021-08-29032-668-7701032-668-7701경기도 부천시 중동로 19
196197이안더부천경기도 부천시 원미동 2222192021-11-26032-668-7916032-668-7916경기도 부천시 원미로 144번길 11
197198힐스테이트 중동경기도 부천시 중동 13019992022-02-16032-323-0778032-323-0778경기도 부천시 길주로 234