Overview

Dataset statistics

Number of variables10
Number of observations71
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory84.9 B

Variable types

Categorical2
Text3
Numeric3
DateTime2

Dataset

Description전라남도 담양군 공동주택단지 현황자료 구분, 단지명, 소재지, 대지면적, 연면적, 준공일자, 동수, 전용면적 세대수에 대한 데이터를 공공데이터 포털을 통하여 제공하고 있으며, 제공된 데이터는 무상 활용이 가능합니다.
URLhttps://www.data.go.kr/data/15043149/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
대지면적(제곱미터) is highly overall correlated with 연면적(제곱미터) and 2 other fieldsHigh correlation
연면적(제곱미터) is highly overall correlated with 대지면적(제곱미터) and 2 other fieldsHigh correlation
세대수 is highly overall correlated with 대지면적(제곱미터) and 2 other fieldsHigh correlation
구분 is highly overall correlated with 동수(층수)High correlation
동수(층수) is highly overall correlated with 대지면적(제곱미터) and 3 other fieldsHigh correlation
대지면적(제곱미터) has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:13:20.069636
Analysis finished2023-12-12 04:13:22.267103
Duration2.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size700.0 B
다세대주택
33 
아파트
19 
연립주택
19 

Length

Max length5
Median length4
Mean length4.1971831
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
다세대주택 33
46.5%
아파트 19
26.8%
연립주택 19
26.8%

Length

2023-12-12T13:13:22.339729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:13:22.472060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다세대주택 33
46.5%
아파트 19
26.8%
연립주택 19
26.8%

단지명
Text

Distinct69
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T13:13:22.739571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length6.3661972
Min length3

Characters and Unicode

Total characters452
Distinct characters129
Distinct categories5 ?
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 (%)94.4%

Sample

1st row비둘기아파트
2nd row타워아파트
3rd row새봄아파트
4th row청전아파트
5th row추성빌라
ValueCountFrequency (%)
2차 5
 
5.3%
1차 4
 
4.3%
태영하이빌 3
 
3.2%
맘스빌리지 2
 
2.1%
메타 2
 
2.1%
리츠타운하우스 2
 
2.1%
푸르미빌라 2
 
2.1%
1단지 2
 
2.1%
퍼스트힐 2
 
2.1%
양우내안애 2
 
2.1%
Other values (63) 68
72.3%
2023-12-12T13:13:23.318111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
빌 25
 
5.5%
25
 
5.5%
아 22
 
4.9%
트 21
 
4.6%
라 19
 
4.2%
파 15
 
3.3%
리 14
 
3.1%
스 12
 
2.7%
차 12
 
2.7%
2 10
 
2.2%
Other values (119) 277
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 399
88.3%
Space Separator 25
 
5.5%
Decimal Number 24
 
5.3%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
빌 25
 
6.3%
아 22
 
5.5%
트 21
 
5.3%
라 19
 
4.8%
파 15
 
3.8%
리 14
 
3.5%
스 12
 
3.0%
차 12
 
3.0%
하 9
 
2.3%
주 9
 
2.3%
Other values (110) 241
60.4%
Decimal Number
ValueCountFrequency (%)
2 10
41.7%
1 7
29.2%
3 3
 
12.5%
5 2
 
8.3%
6 1
 
4.2%
8 1
 
4.2%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 399
88.3%
Common 53
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
빌 25
 
6.3%
아 22
 
5.5%
트 21
 
5.3%
라 19
 
4.8%
파 15
 
3.8%
리 14
 
3.5%
스 12
 
3.0%
차 12
 
3.0%
하 9
 
2.3%
주 9
 
2.3%
Other values (110) 241
60.4%
Common
ValueCountFrequency (%)
25
47.2%
2 10
 
18.9%
1 7
 
13.2%
3 3
 
5.7%
( 2
 
3.8%
) 2
 
3.8%
5 2
 
3.8%
6 1
 
1.9%
8 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 399
88.3%
ASCII 53
 
11.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
빌 25
 
6.3%
아 22
 
5.5%
트 21
 
5.3%
라 19
 
4.8%
파 15
 
3.8%
리 14
 
3.5%
스 12
 
3.0%
차 12
 
3.0%
하 9
 
2.3%
주 9
 
2.3%
Other values (110) 241
60.4%
ASCII
ValueCountFrequency (%)
25
47.2%
2 10
 
18.9%
1 7
 
13.2%
3 3
 
5.7%
( 2
 
3.8%
) 2
 
3.8%
5 2
 
3.8%
6 1
 
1.9%
8 1
 
1.9%

소재지
Text

Distinct69
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T13:13:23.711447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length28.394366
Min length19

Characters and Unicode

Total characters2016
Distinct characters155
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

Unique67 ?
Unique (%)94.4%

Sample

1st row전라남도 담양군 담양읍 지침6길 43 (비둘기아파트)
2nd row전라남도 담양군 담양읍 향백동1길 6 (타워맨션)
3rd row전라남도 담양군 고서면 원등1길 30-3 (새봄아파트)
4th row전라남도 담양군 담양읍 미리산길 2 (담양청전APT)
5th row전라남도 담양군 담양읍 지침1길 3-1 (추성빌라)
ValueCountFrequency (%)
전라남도 71
 
16.8%
담양군 71
 
16.8%
담양읍 50
 
11.8%
미리산길 6
 
1.4%
대전면 5
 
1.2%
고서면 4
 
0.9%
원등1길 4
 
0.9%
1차 4
 
0.9%
수북면 4
 
0.9%
6 4
 
0.9%
Other values (160) 200
47.3%
2023-12-12T13:13:24.357388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
352
 
17.5%
담 134
 
6.6%
양 129
 
6.4%
라 81
 
4.0%
전 79
 
3.9%
남 73
 
3.6%
도 71
 
3.5%
군 71
 
3.5%
길 58
 
2.9%
) 58
 
2.9%
Other values (145) 910
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1280
63.5%
Space Separator 352
 
17.5%
Decimal Number 236
 
11.7%
Close Punctuation 58
 
2.9%
Open Punctuation 58
 
2.9%
Dash Punctuation 28
 
1.4%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
담 134
 
10.5%
양 129
 
10.1%
라 81
 
6.3%
전 79
 
6.2%
남 73
 
5.7%
도 71
 
5.5%
군 71
 
5.5%
길 58
 
4.5%
읍 50
 
3.9%
리 23
 
1.8%
Other values (127) 511
39.9%
Decimal Number
ValueCountFrequency (%)
1 56
23.7%
2 32
13.6%
3 29
12.3%
5 24
10.2%
4 20
 
8.5%
6 18
 
7.6%
9 18
 
7.6%
7 17
 
7.2%
0 11
 
4.7%
8 11
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
T 1
25.0%
P 1
25.0%
G 1
25.0%
Space Separator
ValueCountFrequency (%)
352
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1280
63.5%
Common 732
36.3%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
담 134
 
10.5%
양 129
 
10.1%
라 81
 
6.3%
전 79
 
6.2%
남 73
 
5.7%
도 71
 
5.5%
군 71
 
5.5%
길 58
 
4.5%
읍 50
 
3.9%
리 23
 
1.8%
Other values (127) 511
39.9%
Common
ValueCountFrequency (%)
352
48.1%
) 58
 
7.9%
( 58
 
7.9%
1 56
 
7.7%
2 32
 
4.4%
3 29
 
4.0%
- 28
 
3.8%
5 24
 
3.3%
4 20
 
2.7%
6 18
 
2.5%
Other values (4) 57
 
7.8%
Latin
ValueCountFrequency (%)
A 1
25.0%
T 1
25.0%
P 1
25.0%
G 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1280
63.5%
ASCII 736
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
352
47.8%
) 58
 
7.9%
( 58
 
7.9%
1 56
 
7.6%
2 32
 
4.3%
3 29
 
3.9%
- 28
 
3.8%
5 24
 
3.3%
4 20
 
2.7%
6 18
 
2.4%
Other values (8) 61
 
8.3%
Hangul
ValueCountFrequency (%)
담 134
 
10.5%
양 129
 
10.1%
라 81
 
6.3%
전 79
 
6.2%
남 73
 
5.7%
도 71
 
5.5%
군 71
 
5.5%
길 58
 
4.5%
읍 50
 
3.9%
리 23
 
1.8%
Other values (127) 511
39.9%

대지면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3586.3239
Minimum237
Maximum36117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-12T13:13:24.569477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237
5-th percentile352
Q1616.5
median1220
Q32400.5
95-th percentile19812
Maximum36117
Range35880
Interquartile range (IQR)1784

Descriptive statistics

Standard deviation6980.2566
Coefficient of variation (CV)1.9463542
Kurtosis11.201869
Mean3586.3239
Median Absolute Deviation (MAD)736
Skewness3.3699235
Sum254629
Variance48723982
MonotonicityNot monotonic
2023-12-12T13:13:24.813221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2233 1
 
1.4%
1609 1
 
1.4%
624 1
 
1.4%
366 1
 
1.4%
484 1
 
1.4%
439 1
 
1.4%
380 1
 
1.4%
340 1
 
1.4%
364 1
 
1.4%
545 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
237 1
1.4%
274 1
1.4%
330 1
1.4%
340 1
1.4%
364 1
1.4%
366 1
1.4%
380 1
1.4%
438 1
1.4%
439 1
1.4%
451 1
1.4%
ValueCountFrequency (%)
36117 1
1.4%
29532 1
1.4%
27936 1
1.4%
25800 1
1.4%
13824 1
1.4%
11250 1
1.4%
8575 1
1.4%
7269 1
1.4%
6688 1
1.4%
5046 1
1.4%

연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct64
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4717.9859
Minimum204
Maximum47002
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-12T13:13:25.018466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204
5-th percentile312
Q1651
median1457
Q32546.5
95-th percentile26911
Maximum47002
Range46798
Interquartile range (IQR)1895.5

Descriptive statistics

Standard deviation9669.9414
Coefficient of variation (CV)2.049591
Kurtosis9.7264471
Mean4717.9859
Median Absolute Deviation (MAD)859
Skewness3.1645985
Sum334977
Variance93507766
MonotonicityNot monotonic
2023-12-12T13:13:25.199352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
660 4
 
5.6%
1321 2
 
2.8%
204 2
 
2.8%
329 2
 
2.8%
659 2
 
2.8%
2316 1
 
1.4%
567 1
 
1.4%
585 1
 
1.4%
597 1
 
1.4%
539 1
 
1.4%
Other values (54) 54
76.1%
ValueCountFrequency (%)
204 2
2.8%
283 1
1.4%
295 1
1.4%
329 2
2.8%
354 1
1.4%
394 1
1.4%
539 1
1.4%
549 1
1.4%
567 1
1.4%
570 1
1.4%
ValueCountFrequency (%)
47002 1
1.4%
44417 1
1.4%
33658 1
1.4%
33139 1
1.4%
20683 1
1.4%
20015 1
1.4%
19396 1
1.4%
15368 1
1.4%
5676 1
1.4%
5118 1
1.4%

준공일자
Date

Distinct66
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
Minimum1981-01-09 00:00:00
Maximum2023-03-07 00:00:00
2023-12-12T13:13:25.387739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:13:25.556682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

동수(층수)
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
1동 (4층)
16 
1동 (3층)
9 
1동 (2층)
5 
1동 (8층)
4 
1동 (7층)
4 
Other values (24)
33 

Length

Max length17
Median length7
Mean length7.4788732
Min length6

Unique

Unique18 ?
Unique (%)25.4%

Sample

1st row1동 (5층)
2nd row1동 (8층)
3rd row1동 (9층)
4th row2동 (18층)
5th row1동 (6층)

Common Values

ValueCountFrequency (%)
1동 (4층) 16
22.5%
1동 (3층) 9
12.7%
1동 (2층) 5
 
7.0%
1동 (8층) 4
 
5.6%
1동 (7층) 4
 
5.6%
1동 (5층) 3
 
4.2%
1동(3층) 3
 
4.2%
2동 (5층) 3
 
4.2%
2동 (14층),2동 (15층) 2
 
2.8%
4동 (3층) 2
 
2.8%
Other values (19) 20
28.2%

Length

2023-12-12T13:13:25.753935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1동 46
33.1%
4층 21
15.1%
3층 12
 
8.6%
2동 10
 
7.2%
5층 7
 
5.0%
2층 5
 
3.6%
8층 4
 
2.9%
7층 4
 
2.9%
4동 4
 
2.9%
1동(3층 3
 
2.2%
Other values (16) 23
16.5%

전용면적(제곱미터)
Text

Distinct61
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T13:13:26.010142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length41
Mean length14.309859
Min length2

Characters and Unicode

Total characters1016
Distinct characters15
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)74.6%

Sample

1st row59.34
2nd row83.1
3rd row42.3(8),49.14(43), 59.85(18)
4th row84.75(144)131.82(144)
5th row96.45
ValueCountFrequency (%)
76.62 3
 
3.3%
59.7 3
 
3.3%
59.34 2
 
2.2%
84.71 2
 
2.2%
59.89 2
 
2.2%
122.4 2
 
2.2%
84.96 2
 
2.2%
97.36 2
 
2.2%
141.46(24 1
 
1.1%
107.59 1
 
1.1%
Other values (72) 72
78.3%
2023-12-12T13:13:26.488665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 123
12.1%
( 88
8.7%
) 88
8.7%
8 85
 
8.4%
1 80
 
7.9%
6 71
 
7.0%
9 70
 
6.9%
4 69
 
6.8%
5 68
 
6.7%
2 61
 
6.0%
Other values (5) 213
21.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 640
63.0%
Other Punctuation 178
 
17.5%
Open Punctuation 88
 
8.7%
Close Punctuation 88
 
8.7%
Space Separator 22
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 85
13.3%
1 80
12.5%
6 71
11.1%
9 70
10.9%
4 69
10.8%
5 68
10.6%
2 61
9.5%
7 55
8.6%
3 49
7.7%
0 32
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 123
69.1%
, 55
30.9%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1016
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 123
12.1%
( 88
8.7%
) 88
8.7%
8 85
 
8.4%
1 80
 
7.9%
6 71
 
7.0%
9 70
 
6.9%
4 69
 
6.8%
5 68
 
6.7%
2 61
 
6.0%
Other values (5) 213
21.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1016
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 123
12.1%
( 88
8.7%
) 88
8.7%
8 85
 
8.4%
1 80
 
7.9%
6 71
 
7.0%
9 70
 
6.9%
4 69
 
6.8%
5 68
 
6.7%
2 61
 
6.0%
Other values (5) 213
21.0%

세대수
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.15493
Minimum3
Maximum580
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-12T13:13:26.634212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q18
median16
Q323
95-th percentile275
Maximum580
Range577
Interquartile range (IQR)15

Descriptive statistics

Standard deviation97.905588
Coefficient of variation (CV)2.121238
Kurtosis14.287905
Mean46.15493
Median Absolute Deviation (MAD)8
Skewness3.6116719
Sum3277
Variance9585.5042
MonotonicityNot monotonic
2023-12-12T13:13:26.785541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
16 9
 
12.7%
8 9
 
12.7%
19 5
 
7.0%
4 5
 
7.0%
18 4
 
5.6%
12 4
 
5.6%
7 2
 
2.8%
6 2
 
2.8%
14 2
 
2.8%
5 2
 
2.8%
Other values (23) 27
38.0%
ValueCountFrequency (%)
3 2
 
2.8%
4 5
7.0%
5 2
 
2.8%
6 2
 
2.8%
7 2
 
2.8%
8 9
12.7%
9 1
 
1.4%
11 1
 
1.4%
12 4
5.6%
13 1
 
1.4%
ValueCountFrequency (%)
580 1
1.4%
358 1
1.4%
322 1
1.4%
288 1
1.4%
262 1
1.4%
197 1
1.4%
153 1
1.4%
130 1
1.4%
69 1
1.4%
41 1
1.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
Minimum2023-05-15 00:00:00
Maximum2023-05-15 00:00:00
2023-12-12T13:13:26.937732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:13:27.069928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:13:21.723764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:13:20.881181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:13:21.150507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:13:21.822192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:13:20.979502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:13:21.232151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:13:21.914763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:13:21.064825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:13:21.641587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:13:27.184243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분단지명소재지대지면적(제곱미터)연면적(제곱미터)준공일자동수(층수)전용면적(제곱미터)세대수
구분1.0000.9141.0000.5010.6120.9810.8900.7060.451
단지명0.9141.0000.9941.0001.0000.9970.9480.9691.000
소재지1.0000.9941.0001.0001.0000.9810.9990.9971.000
대지면적(제곱미터)0.5011.0001.0001.0000.7990.0000.9821.0000.944
연면적(제곱미터)0.6121.0001.0000.7991.0001.0000.9760.7840.902
준공일자0.9810.9970.9810.0001.0001.0000.9590.9960.000
동수(층수)0.8900.9480.9990.9820.9760.9591.0000.9740.984
전용면적(제곱미터)0.7060.9690.9971.0000.7840.9960.9741.0000.983
세대수0.4511.0001.0000.9440.9020.0000.9840.9831.000
2023-12-12T13:13:27.324965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분동수(층수)
구분1.0000.572
동수(층수)0.5721.000
2023-12-12T13:13:27.428332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대지면적(제곱미터)연면적(제곱미터)세대수구분동수(층수)
대지면적(제곱미터)1.0000.8730.8370.3780.725
연면적(제곱미터)0.8731.0000.9280.3100.707
세대수0.8370.9281.0000.3070.740
구분0.3780.3100.3071.0000.572
동수(층수)0.7250.7070.7400.5721.000

Missing values

2023-12-12T13:13:22.049225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:13:22.211186image/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

구분단지명소재지대지면적(제곱미터)연면적(제곱미터)준공일자동수(층수)전용면적(제곱미터)세대수데이터기준일자
0아파트비둘기아파트전라남도 담양군 담양읍 지침6길 43 (비둘기아파트)223323161984-06-231동 (5층)59.34302023-05-15
1아파트타워아파트전라남도 담양군 담양읍 향백동1길 6 (타워맨션)160933991991-08-021동 (8층)83.1352023-05-15
2아파트새봄아파트전라남도 담양군 고서면 원등1길 30-3 (새봄아파트)215450701992-07-241동 (9층)42.3(8),49.14(43), 59.85(18)692023-05-15
3아파트청전아파트전라남도 담양군 담양읍 미리산길 2 (담양청전APT)11250336581992-12-192동 (18층)84.75(144)131.82(144)2882023-05-15
4아파트추성빌라전라남도 담양군 담양읍 지침1길 3-1 (추성빌라)84012612002-12-241동 (6층)96.45112023-05-15
5아파트금강아파트전라남도 담양군 담양읍 미리산길 67 (담양금강아파트)7269153682004-05-062동 (12층)84.961302023-05-15
6아파트동인아파트전라남도 담양군 담양읍 천변2길 31-6 (동인아파트)82316392004-11-151동 (5층)84.82182023-05-15
7아파트백동주공아파트전라남도 담양군 담양읍 미리산길 34 (백동주공아파트)13824200152007-03-192동 (14층),2동 (15층)51.93(150),59.88(112)2622023-05-15
8아파트유리안아파트 1차전라남도 담양군 담양읍 천변3길 29 (유리안 아파트 1차)90716452007-11-291동 (7층)97.36142023-05-15
9아파트유리안아파트 2차전라남도 담양군 담양읍 천변3길 29 (유리안 아파트 1차)137823972007-12-061동 (7층)97.36192023-05-15
구분단지명소재지대지면적(제곱미터)연면적(제곱미터)준공일자동수(층수)전용면적(제곱미터)세대수데이터기준일자
61다세대주택화우리팰리스전라남도 담양군 수북면 추성1로 793 (화우리팰리스)206616152016-09-213동 (4층)85.8182023-05-15
62다세대주택해마루전라남도 담양군 고서면 원등1길 42-2 (해마루아파트)6746562016-11-021동 (4층)70.4682023-05-15
63다세대주택대흥 청솔채전라남도 담양군 수북면 대흥길 7414045492020-07-141동 (3층)130.1342023-05-15
64다세대주택리츠타운하우스전라남도 담양군 대전면 대치4길 41-3 (리츠타운하우스 1차)362722462021-04-234동 (3층)114.86(14), 116.19(3)172023-05-15
65다세대주택담빛리 다세대주택전라남도 담양군 담양읍 태왕5길 3-154996462021-11-121동 (2층)83.6442023-05-15
66다세대주택리츠타운하우스 2차전라남도 담양군 담양읍 태왕5길 19-15 (리츠타운하우스2차)4382832021-11-231동 (2층)84.7132023-05-15
67다세대주택맘스빌리지전라남도 담양군 담양읍 태왕5길 4-75713942021-12-171동 (3층)140.91(1), 84.61(3)42023-05-15
68다세대주택맘스빌리지전라남도 담양군 담양읍 담빛리 2364513542022-10-211동(3층)115.68(2),123.12(1)32023-05-15
69다세대주택메타 아트리움전라남도 담양군 담양읍 학동리 689309034082023-01-306동(3층)109.9596(9),111.9087(9),206.5062(1)192023-05-15
70다세대주택갤러리 268전라남도 담양군 담양읍 백동리 268-28 외 4필지100413802023-03-072동(4층)65.7225(2),84.13(6),84.038(6)142023-05-15