Overview

Dataset statistics

Number of variables37
Number of observations1577
Missing cells1508
Missing cells (%)2.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory497.6 KiB
Average record size in memory323.1 B

Variable types

Numeric15
Text3
Categorical17
DateTime2

Dataset

Description대구도시개발공사 주택 타입 데이터 입니다. 메타데이터기반 공공데이터 개방자료이기 때문에 가공되지 않은 원본 테이블의 데이터가 등록되었습니다.
URLhttps://www.data.go.kr/data/15120626/fileData.do

Alerts

확장_현관 has constant value ""Constant
주민건축비용 is highly imbalanced (84.1%)Imbalance
주민부가세 is highly imbalanced (83.9%)Imbalance
융자한도금액 is highly imbalanced (79.1%)Imbalance
주택법정초과 is highly imbalanced (79.1%)Imbalance
주택건축면적 is highly imbalanced (79.1%)Imbalance
확장_주침실 is highly imbalanced (93.6%)Imbalance
확장_침실1 is highly imbalanced (91.1%)Imbalance
확장_침실2 is highly imbalanced (87.5%)Imbalance
확장_거실 is highly imbalanced (93.2%)Imbalance
확장_주방식당 is highly imbalanced (93.2%)Imbalance
주택타입명 has 1315 (83.4%) missing valuesMissing
부가세 has 29 (1.8%) missing valuesMissing
임대료 has 23 (1.5%) missing valuesMissing
국민주택기금 has 50 (3.2%) missing valuesMissing
대지비용 has 29 (1.8%) missing valuesMissing
건축비용 has 29 (1.8%) missing valuesMissing
주택기타공용 has 23 (1.5%) missing valuesMissing
공급가액 has 737 (46.7%) zerosZeros
부가세 has 1317 (83.5%) zerosZeros
임대료 has 1413 (89.6%) zerosZeros
국민주택기금 has 786 (49.8%) zerosZeros
대지비용 has 1222 (77.5%) zerosZeros
건축비용 has 1222 (77.5%) zerosZeros
주택전용면적 has 24 (1.5%) zerosZeros
주택공용면적 has 24 (1.5%) zerosZeros
주택분양면적 has 1178 (74.7%) zerosZeros
주택계약면적 has 27 (1.7%) zerosZeros
주택기타공용 has 176 (11.2%) zerosZeros
주택대지지분 has 28 (1.8%) zerosZeros
증액한도액 has 1487 (94.3%) zerosZeros
주차장면적 has 1548 (98.2%) zerosZeros

Reproduction

Analysis started2023-12-12 09:59:33.243107
Analysis finished2023-12-12 09:59:33.891626
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주택코드
Real number (ℝ)

Distinct55
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238.97717
Minimum1
Maximum816
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2023-12-12T18:59:33.966199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile123
Q1130
median140
Q3308
95-th percentile438
Maximum816
Range815
Interquartile range (IQR)178

Descriptive statistics

Standard deviation123.43092
Coefficient of variation (CV)0.51649668
Kurtosis0.013801116
Mean238.97717
Median Absolute Deviation (MAD)32
Skewness0.75312887
Sum376867
Variance15235.191
MonotonicityNot monotonic
2023-12-12T18:59:34.124576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126 181
 
11.5%
308 134
 
8.5%
307 127
 
8.1%
309 83
 
5.3%
136 83
 
5.3%
123 70
 
4.4%
303 68
 
4.3%
132 57
 
3.6%
310 48
 
3.0%
131 43
 
2.7%
Other values (45) 683
43.3%
ValueCountFrequency (%)
1 3
 
0.2%
105 6
 
0.4%
106 1
 
0.1%
108 1
 
0.1%
119 20
 
1.3%
120 11
 
0.7%
123 70
 
4.4%
125 12
 
0.8%
126 181
11.5%
127 34
 
2.2%
ValueCountFrequency (%)
816 3
 
0.2%
551 1
 
0.1%
550 8
 
0.5%
538 20
1.3%
537 7
 
0.4%
536 5
 
0.3%
535 6
 
0.4%
440 13
0.8%
439 10
0.6%
438 10
0.6%

주택타입코드
Text

Distinct1269
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
2023-12-12T18:59:34.451896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.185796
Min length3

Characters and Unicode

Total characters16063
Distinct characters39
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1084 ?
Unique (%)68.7%

Sample

1st row53DSW-0406
2nd row53DSW-0303
3rd row53ASW-0406
4th row53ASE-9999
5th row53ASE-0709
ValueCountFrequency (%)
84asw-0101 6
 
0.4%
84asw-0203 6
 
0.4%
84zz-0101 6
 
0.4%
84ase-0203 5
 
0.3%
59zz0199-05 5
 
0.3%
59zz0199-10 5
 
0.3%
59zz0199-07 5
 
0.3%
59zz0199-06 5
 
0.3%
59zz0199-04 5
 
0.3%
59zz0199-08 5
 
0.3%
Other values (1259) 1524
96.6%
2023-12-12T18:59:35.002079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 2569
16.0%
0 2236
13.9%
Z 1605
10.0%
1 1583
9.9%
- 1567
9.8%
8 926
 
5.8%
4 846
 
5.3%
5 719
 
4.5%
S 689
 
4.3%
A 546
 
3.4%
Other values (29) 2777
17.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10234
63.7%
Uppercase Letter 4251
26.5%
Dash Punctuation 1567
 
9.8%
Other Punctuation 10
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Z 1605
37.8%
S 689
16.2%
A 546
 
12.8%
B 393
 
9.2%
E 359
 
8.4%
W 252
 
5.9%
C 145
 
3.4%
D 65
 
1.5%
Y 43
 
1.0%
R 30
 
0.7%
Other values (16) 124
 
2.9%
Decimal Number
ValueCountFrequency (%)
9 2569
25.1%
0 2236
21.8%
1 1583
15.5%
8 926
 
9.0%
4 846
 
8.3%
5 719
 
7.0%
3 496
 
4.8%
2 415
 
4.1%
7 260
 
2.5%
6 184
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 1567
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11811
73.5%
Latin 4252
 
26.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
Z 1605
37.7%
S 689
16.2%
A 546
 
12.8%
B 393
 
9.2%
E 359
 
8.4%
W 252
 
5.9%
C 145
 
3.4%
D 65
 
1.5%
Y 43
 
1.0%
R 30
 
0.7%
Other values (17) 125
 
2.9%
Common
ValueCountFrequency (%)
9 2569
21.8%
0 2236
18.9%
1 1583
13.4%
- 1567
13.3%
8 926
 
7.8%
4 846
 
7.2%
5 719
 
6.1%
3 496
 
4.2%
2 415
 
3.5%
7 260
 
2.2%
Other values (2) 194
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16063
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 2569
16.0%
0 2236
13.9%
Z 1605
10.0%
1 1583
9.9%
- 1567
9.8%
8 926
 
5.8%
4 846
 
5.3%
5 719
 
4.5%
S 689
 
4.3%
A 546
 
3.4%
Other values (29) 2777
17.3%

주택타입명
Text

MISSING 

Distinct209
Distinct (%)79.8%
Missing1315
Missing (%)83.4%
Memory size12.4 KiB
2023-12-12T18:59:35.475925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length7
Mean length6.1870229
Min length2

Characters and Unicode

Total characters1621
Distinct characters35
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

Unique191 ?
Unique (%)72.9%

Sample

1st row214-101
2nd row214-212
3rd row214-211
4th row214-210
5th row214-209
ValueCountFrequency (%)
120동 18
 
6.1%
2,4호라인 11
 
3.7%
232동 10
 
3.4%
1,3호라인 9
 
3.0%
39a 8
 
2.7%
231동 6
 
2.0%
59a 4
 
1.3%
6호 3
 
1.0%
3호 3
 
1.0%
2호 3
 
1.0%
Other values (186) 222
74.7%
2023-12-12T18:59:36.146219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 306
18.9%
0 212
13.1%
2 155
9.6%
- 145
8.9%
5 109
 
6.7%
4 87
 
5.4%
9 84
 
5.2%
3 83
 
5.1%
호 71
 
4.4%
S 44
 
2.7%
Other values (25) 325
20.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1100
67.9%
Other Letter 177
 
10.9%
Dash Punctuation 145
 
8.9%
Uppercase Letter 144
 
8.9%
Space Separator 35
 
2.2%
Other Punctuation 20
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 71
40.1%
동 44
24.9%
인 20
 
11.3%
라 20
 
11.3%
지 4
 
2.3%
하 4
 
2.3%
층 3
 
1.7%
상 2
 
1.1%
가 2
 
1.1%
업 1
 
0.6%
Other values (6) 6
 
3.4%
Decimal Number
ValueCountFrequency (%)
1 306
27.8%
0 212
19.3%
2 155
14.1%
5 109
 
9.9%
4 87
 
7.9%
9 84
 
7.6%
3 83
 
7.5%
8 25
 
2.3%
6 21
 
1.9%
7 18
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
S 44
30.6%
A 31
21.5%
B 26
18.1%
E 20
13.9%
W 15
 
10.4%
C 8
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 145
100.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1300
80.2%
Hangul 177
 
10.9%
Latin 144
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 71
40.1%
동 44
24.9%
인 20
 
11.3%
라 20
 
11.3%
지 4
 
2.3%
하 4
 
2.3%
층 3
 
1.7%
상 2
 
1.1%
가 2
 
1.1%
업 1
 
0.6%
Other values (6) 6
 
3.4%
Common
ValueCountFrequency (%)
1 306
23.5%
0 212
16.3%
2 155
11.9%
- 145
11.2%
5 109
 
8.4%
4 87
 
6.7%
9 84
 
6.5%
3 83
 
6.4%
35
 
2.7%
8 25
 
1.9%
Other values (3) 59
 
4.5%
Latin
ValueCountFrequency (%)
S 44
30.6%
A 31
21.5%
B 26
18.1%
E 20
13.9%
W 15
 
10.4%
C 8
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1444
89.1%
Hangul 177
 
10.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 306
21.2%
0 212
14.7%
2 155
10.7%
- 145
10.0%
5 109
 
7.5%
4 87
 
6.0%
9 84
 
5.8%
3 83
 
5.7%
S 44
 
3.0%
35
 
2.4%
Other values (9) 184
12.7%
Hangul
ValueCountFrequency (%)
호 71
40.1%
동 44
24.9%
인 20
 
11.3%
라 20
 
11.3%
지 4
 
2.3%
하 4
 
2.3%
층 3
 
1.7%
상 2
 
1.1%
가 2
 
1.1%
업 1
 
0.6%
Other values (6) 6
 
3.4%

타입평수
Text

Distinct241
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
2023-12-12T18:59:36.523279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.2441344
Min length2

Characters and Unicode

Total characters5116
Distinct characters29
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique160 ?
Unique (%)10.1%

Sample

1st row53DSW
2nd row53DSW
3rd row53ASW
4th row53ASE
5th row53ASE
ValueCountFrequency (%)
59a 176
 
11.2%
84a 140
 
8.9%
59 138
 
8.8%
84b 122
 
7.7%
84 103
 
6.5%
59b 98
 
6.2%
84c 59
 
3.7%
83a 39
 
2.5%
73 32
 
2.0%
39 31
 
2.0%
Other values (231) 639
40.5%
2023-12-12T18:59:37.112702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 649
12.7%
8 643
12.6%
5 589
11.5%
9 567
11.1%
A 485
9.5%
1 474
9.3%
B 349
6.8%
3 291
5.7%
0 211
 
4.1%
- 180
 
3.5%
Other values (19) 678
13.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3706
72.4%
Uppercase Letter 1127
 
22.0%
Dash Punctuation 180
 
3.5%
Other Letter 103
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 649
17.5%
8 643
17.4%
5 589
15.9%
9 567
15.3%
1 474
12.8%
3 291
7.9%
0 211
 
5.7%
2 155
 
4.2%
7 91
 
2.5%
6 36
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
A 485
43.0%
B 349
31.0%
C 123
 
10.9%
D 51
 
4.5%
E 30
 
2.7%
S 25
 
2.2%
R 24
 
2.1%
Z 20
 
1.8%
F 10
 
0.9%
W 10
 
0.9%
Other Letter
ValueCountFrequency (%)
형 39
37.9%
동 21
20.4%
호 18
17.5%
층 14
 
13.6%
지 4
 
3.9%
하 4
 
3.9%
상 2
 
1.9%
공 1
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3886
76.0%
Latin 1127
 
22.0%
Hangul 103
 
2.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 649
16.7%
8 643
16.5%
5 589
15.2%
9 567
14.6%
1 474
12.2%
3 291
7.5%
0 211
 
5.4%
- 180
 
4.6%
2 155
 
4.0%
7 91
 
2.3%
Latin
ValueCountFrequency (%)
A 485
43.0%
B 349
31.0%
C 123
 
10.9%
D 51
 
4.5%
E 30
 
2.7%
S 25
 
2.2%
R 24
 
2.1%
Z 20
 
1.8%
F 10
 
0.9%
W 10
 
0.9%
Hangul
ValueCountFrequency (%)
형 39
37.9%
동 21
20.4%
호 18
17.5%
층 14
 
13.6%
지 4
 
3.9%
하 4
 
3.9%
상 2
 
1.9%
공 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5013
98.0%
Hangul 103
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 649
12.9%
8 643
12.8%
5 589
11.7%
9 567
11.3%
A 485
9.7%
1 474
9.5%
B 349
7.0%
3 291
5.8%
0 211
 
4.2%
- 180
 
3.6%
Other values (11) 575
11.5%
Hangul
ValueCountFrequency (%)
형 39
37.9%
동 21
20.4%
호 18
17.5%
층 14
 
13.6%
지 4
 
3.9%
하 4
 
3.9%
상 2
 
1.9%
공 1
 
1.0%

주택방향
Categorical

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
<NA>
623 
없음
345 
남동
241 
남서
217 
남
104 
Other values (2)
 
47

Length

Max length4
Median length2
Mean length2.6943564
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 623
39.5%
없음 345
21.9%
남동 241
 
15.3%
남서 217
 
13.8%
남 104
 
6.6%
동 37
 
2.3%
서 10
 
0.6%

Length

2023-12-12T18:59:37.327101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:37.489175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 623
39.5%
없음 345
21.9%
남동 241
 
15.3%
남서 217
 
13.8%
남 104
 
6.6%
동 37
 
2.3%
서 10
 
0.6%

평수
Categorical

Distinct50
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
32
179 
24
166 
<NA>
115 
59
 
79
44
 
76
Other values (45)
962 

Length

Max length5
Median length2
Mean length2.626506
Min length1

Unique

Unique5 ?
Unique (%)0.3%

Sample

1st row22
2nd row22
3rd row22
4th row22
5th row22

Common Values

ValueCountFrequency (%)
32 179
 
11.4%
24 166
 
10.5%
<NA> 115
 
7.3%
59 79
 
5.0%
44 76
 
4.8%
33 72
 
4.6%
0 66
 
4.2%
22 58
 
3.7%
25 56
 
3.6%
84 54
 
3.4%
Other values (40) 656
41.6%

Length

2023-12-12T18:59:37.673748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
32 179
 
11.4%
24 166
 
10.5%
na 115
 
7.3%
59 79
 
5.0%
44 76
 
4.8%
33 72
 
4.6%
0 66
 
4.2%
22 58
 
3.7%
25 56
 
3.6%
84 54
 
3.4%
Other values (40) 656
41.6%

방수
Categorical

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
0
835 
3
560 
4
90 
1
 
47
<NA>
 
23

Length

Max length4
Median length1
Mean length1.043754
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 835
52.9%
3 560
35.5%
4 90
 
5.7%
1 47
 
3.0%
<NA> 23
 
1.5%
2 22
 
1.4%

Length

2023-12-12T18:59:37.850912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:38.015801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 835
52.9%
3 560
35.5%
4 90
 
5.7%
1 47
 
3.0%
na 23
 
1.5%
2 22
 
1.4%

주택형태
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
국민주택
1041 
<NA>
400 
민영주택
136 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
국민주택 1041
66.0%
<NA> 400
 
25.4%
민영주택 136
 
8.6%

Length

2023-12-12T18:59:38.161586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:38.285905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국민주택 1041
66.0%
na 400
 
25.4%
민영주택 136
 
8.6%

공급가액
Real number (ℝ)

ZEROS 

Distinct713
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0987869 × 108
Minimum0
Maximum5.6848 × 108
Zeros737
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2023-12-12T18:59:38.419560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median77113000
Q32.07623 × 108
95-th percentile3.074878 × 108
Maximum5.6848 × 108
Range5.6848 × 108
Interquartile range (IQR)2.07623 × 108

Descriptive statistics

Standard deviation1.2441265 × 108
Coefficient of variation (CV)1.1322727
Kurtosis-0.40762557
Mean1.0987869 × 108
Median Absolute Deviation (MAD)77113000
Skewness0.79337173
Sum1.732787 × 1011
Variance1.5478506 × 1016
MonotonicityNot monotonic
2023-12-12T18:59:38.584019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 737
46.7%
77113000 31
 
2.0%
109320740 4
 
0.3%
72998000 4
 
0.3%
267821000 4
 
0.3%
139888000 4
 
0.3%
147489000 4
 
0.3%
144441000 4
 
0.3%
152041000 4
 
0.3%
150524000 4
 
0.3%
Other values (703) 777
49.3%
ValueCountFrequency (%)
0 737
46.7%
30286000 1
 
0.1%
36835000 1
 
0.1%
39522000 2
 
0.1%
40454000 3
 
0.2%
47306000 1
 
0.1%
47464000 1
 
0.1%
48439000 3
 
0.2%
49179000 1
 
0.1%
49688000 1
 
0.1%
ValueCountFrequency (%)
568480000 1
0.1%
516000000 1
0.1%
502510000 1
0.1%
498000000 1
0.1%
473524000 1
0.1%
468789000 1
0.1%
468560000 1
0.1%
464054000 1
0.1%
463778000 1
0.1%
459319000 1
0.1%

부가세
Real number (ℝ)

MISSING  ZEROS 

Distinct170
Distinct (%)11.0%
Missing29
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean2584959.3
Minimum0
Maximum53542376
Zeros1317
Zeros (%)83.5%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2023-12-12T18:59:38.776406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile22419273
Maximum53542376
Range53542376
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6888545.7
Coefficient of variation (CV)2.6648566
Kurtosis7.013955
Mean2584959.3
Median Absolute Deviation (MAD)0
Skewness2.7351925
Sum4.0015169 × 109
Variance4.7452062 × 1013
MonotonicityNot monotonic
2023-12-12T18:59:38.968172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1317
83.5%
4263000 8
 
0.5%
7268930 4
 
0.3%
22425288 3
 
0.2%
3538745 3
 
0.2%
22263719 3
 
0.2%
22201062 3
 
0.2%
22139011 3
 
0.2%
22362481 3
 
0.2%
23092182 3
 
0.2%
Other values (160) 198
 
12.6%
(Missing) 29
 
1.8%
ValueCountFrequency (%)
0 1317
83.5%
2649291 1
 
0.1%
2679400 1
 
0.1%
2922730 1
 
0.1%
3449044 2
 
0.1%
3538745 3
 
0.2%
3614900 1
 
0.1%
4236129 2
 
0.1%
4263000 8
 
0.5%
4336221 1
 
0.1%
ValueCountFrequency (%)
53542376 1
0.1%
39029005 1
0.1%
37330696 1
0.1%
36046022 1
0.1%
32394646 1
0.1%
31264578 1
0.1%
30601239 1
0.1%
27445032 1
0.1%
27001797 1
0.1%
26592390 1
0.1%

주민건축비용
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
0
1518 
<NA>
 
51
204303000
 
8

Length

Max length9
Median length1
Mean length1.137603
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1518
96.3%
<NA> 51
 
3.2%
204303000 8
 
0.5%

Length

2023-12-12T18:59:39.156692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:39.300808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1518
96.3%
na 51
 
3.2%
204303000 8
 
0.5%

주민부가세
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
0
1517 
<NA>
 
52
3147000
 
8

Length

Max length7
Median length1
Mean length1.1293595
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1517
96.2%
<NA> 52
 
3.3%
3147000 8
 
0.5%

Length

2023-12-12T18:59:39.413442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:39.523696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1517
96.2%
na 52
 
3.3%
3147000 8
 
0.5%

임대료
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)1.1%
Missing23
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean26522.625
Minimum0
Maximum475000
Zeros1413
Zeros (%)89.6%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2023-12-12T18:59:39.615215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile219910
Maximum475000
Range475000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation89446.174
Coefficient of variation (CV)3.3724479
Kurtosis10.707814
Mean26522.625
Median Absolute Deviation (MAD)0
Skewness3.4265054
Sum41216160
Variance8.000618 × 109
MonotonicityNot monotonic
2023-12-12T18:59:39.723606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 1413
89.6%
184600 42
 
2.7%
407990 31
 
2.0%
367650 21
 
1.3%
219910 11
 
0.7%
328090 7
 
0.4%
169550 7
 
0.4%
298680 4
 
0.3%
384810 4
 
0.3%
174030 3
 
0.2%
Other values (7) 11
 
0.7%
(Missing) 23
 
1.5%
ValueCountFrequency (%)
0 1413
89.6%
163730 2
 
0.1%
169550 7
 
0.4%
174030 3
 
0.2%
184600 42
 
2.7%
219910 11
 
0.7%
285780 3
 
0.2%
298680 4
 
0.3%
328090 7
 
0.4%
367650 21
 
1.3%
ValueCountFrequency (%)
475000 1
 
0.1%
474000 1
 
0.1%
468000 1
 
0.1%
455000 1
 
0.1%
439640 2
 
0.1%
407990 31
2.0%
384810 4
 
0.3%
367650 21
1.3%
328090 7
 
0.4%
298680 4
 
0.3%

국민주택기금
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.5%
Missing50
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean26172233
Minimum0
Maximum75000000
Zeros786
Zeros (%)49.8%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2023-12-12T18:59:39.846253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q355000000
95-th percentile75000000
Maximum75000000
Range75000000
Interquartile range (IQR)55000000

Descriptive statistics

Standard deviation29169385
Coefficient of variation (CV)1.1145165
Kurtosis-1.4517011
Mean26172233
Median Absolute Deviation (MAD)0
Skewness0.44382703
Sum3.9965 × 1010
Variance8.5085302 × 1014
MonotonicityNot monotonic
2023-12-12T18:59:39.948306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 786
49.8%
55000000 256
 
16.2%
75000000 198
 
12.6%
50000000 97
 
6.2%
30000000 74
 
4.7%
25000000 60
 
3.8%
40000000 31
 
2.0%
49000000 25
 
1.6%
(Missing) 50
 
3.2%
ValueCountFrequency (%)
0 786
49.8%
25000000 60
 
3.8%
30000000 74
 
4.7%
40000000 31
 
2.0%
49000000 25
 
1.6%
50000000 97
 
6.2%
55000000 256
 
16.2%
75000000 198
 
12.6%
ValueCountFrequency (%)
75000000 198
 
12.6%
55000000 256
 
16.2%
50000000 97
 
6.2%
49000000 25
 
1.6%
40000000 31
 
2.0%
30000000 74
 
4.7%
25000000 60
 
3.8%
0 786
49.8%

융자한도금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
0
1525 
<NA>
 
52

Length

Max length4
Median length1
Mean length1.098922
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1525
96.7%
<NA> 52
 
3.3%

Length

2023-12-12T18:59:40.062691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:40.155867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1525
96.7%
na 52
 
3.3%

대지비용
Real number (ℝ)

MISSING  ZEROS 

Distinct240
Distinct (%)15.5%
Missing29
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean15530821
Minimum0
Maximum5.0657586 × 108
Zeros1222
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2023-12-12T18:59:40.278354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile87688266
Maximum5.0657586 × 108
Range5.0657586 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38977843
Coefficient of variation (CV)2.5097092
Kurtosis27.518702
Mean15530821
Median Absolute Deviation (MAD)0
Skewness4.0159433
Sum2.404171 × 1010
Variance1.5192723 × 1015
MonotonicityNot monotonic
2023-12-12T18:59:40.446004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1222
77.5%
77687000 12
 
0.8%
86547000 8
 
0.5%
43386530 7
 
0.4%
48145765 6
 
0.4%
29362480 4
 
0.3%
85628880 3
 
0.2%
1527797 3
 
0.2%
85126140 3
 
0.2%
85986000 3
 
0.2%
Other values (230) 277
 
17.6%
(Missing) 29
 
1.8%
ValueCountFrequency (%)
0 1222
77.5%
1143791 1
 
0.1%
1527797 3
 
0.2%
1582509 2
 
0.1%
1989568 1
 
0.1%
3151053 1
 
0.1%
3403000 1
 
0.1%
3408000 1
 
0.1%
3837629 1
 
0.1%
4024139 1
 
0.1%
ValueCountFrequency (%)
506575861 1
0.1%
353192339 1
0.1%
341039750 1
0.1%
290419085 1
0.1%
217840495 1
0.1%
210113001 1
0.1%
205489036 1
0.1%
202591173 1
0.1%
199061723 1
0.1%
194206559 1
0.1%

건축비용
Real number (ℝ)

MISSING  ZEROS 

Distinct246
Distinct (%)15.9%
Missing29
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean34364487
Minimum0
Maximum5.3542376 × 108
Zeros1222
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2023-12-12T18:59:40.620996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.2423183 × 108
Maximum5.3542376 × 108
Range5.3542376 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation74909368
Coefficient of variation (CV)2.1798483
Kurtosis4.0489087
Mean34364487
Median Absolute Deviation (MAD)0
Skewness2.1697523
Sum5.3196226 × 1010
Variance5.6114134 × 1015
MonotonicityNot monotonic
2023-12-12T18:59:41.167204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1222
77.5%
196672000 12
 
0.8%
214827000 8
 
0.5%
78658100 7
 
0.4%
72689330 4
 
0.3%
103318432 3
 
0.2%
248381137 3
 
0.2%
224252884 3
 
0.2%
222010625 3
 
0.2%
35387458 3
 
0.2%
Other values (236) 280
 
17.8%
(Missing) 29
 
1.8%
ValueCountFrequency (%)
0 1222
77.5%
26492918 1
 
0.1%
26794000 1
 
0.1%
28408000 1
 
0.1%
28800000 1
 
0.1%
29227360 1
 
0.1%
31028740 1
 
0.1%
34490447 2
 
0.1%
35387458 3
 
0.2%
36149000 1
 
0.1%
ValueCountFrequency (%)
535423763 1
0.1%
390290054 1
0.1%
373306965 1
0.1%
361872278 1
0.1%
360460228 1
0.1%
323946464 1
0.1%
312645788 1
0.1%
306012390 1
0.1%
274450329 1
0.1%
270017979 1
0.1%

주택전용면적
Real number (ℝ)

ZEROS 

Distinct188
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.460466
Minimum0
Maximum189.833
Zeros24
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2023-12-12T18:59:41.340087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile39.6472
Q159.8817
median73.2815
Q384.8804
95-th percentile117.92034
Maximum189.833
Range189.833
Interquartile range (IQR)24.9987

Descriptive statistics

Standard deviation22.838921
Coefficient of variation (CV)0.31960218
Kurtosis1.2315727
Mean71.460466
Median Absolute Deviation (MAD)13.299
Skewness0.078228543
Sum112693.16
Variance521.61631
MonotonicityNot monotonic
2023-12-12T18:59:41.499954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.6695 85
 
5.4%
84.9934 76
 
4.8%
59.9748 71
 
4.5%
83.4706 64
 
4.1%
59.9825 47
 
3.0%
53.4089 45
 
2.9%
59.7456 38
 
2.4%
84.9837 34
 
2.2%
73.2815 32
 
2.0%
59.9476 30
 
1.9%
Other values (178) 1055
66.9%
ValueCountFrequency (%)
0.0 24
1.5%
19.5465 1
 
0.1%
25.5659 2
 
0.1%
26.1578 3
 
0.2%
26.405 1
 
0.1%
30.5659 1
 
0.1%
30.87 4
 
0.3%
31.08 7
 
0.4%
34.4272 1
 
0.1%
34.86 4
 
0.3%
ValueCountFrequency (%)
189.833 1
 
0.1%
155.25 2
 
0.1%
148.5589 2
 
0.1%
130.089 1
 
0.1%
125.28 1
 
0.1%
122.774 1
 
0.1%
118.9963 18
1.1%
118.9269 17
1.1%
118.5181 18
1.1%
118.4613 18
1.1%

주택공용면적
Real number (ℝ)

ZEROS 

Distinct220
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.285371
Minimum0
Maximum83.6429
Zeros24
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2023-12-12T18:59:41.705486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.9261
Q119.41
median21.9898
Q324.9182
95-th percentile31.0593
Maximum83.6429
Range83.6429
Interquartile range (IQR)5.5082

Descriptive statistics

Standard deviation9.4305765
Coefficient of variation (CV)0.42317342
Kurtosis17.697694
Mean22.285371
Median Absolute Deviation (MAD)2.7656
Skewness2.6173656
Sum35144.03
Variance88.935773
MonotonicityNot monotonic
2023-12-12T18:59:41.884878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.2133 47
 
3.0%
21.4156 44
 
2.8%
21.2701 43
 
2.7%
25.1452 41
 
2.6%
24.8666 40
 
2.5%
21.9898 39
 
2.5%
21.1227 36
 
2.3%
21.1229 34
 
2.2%
19.41 32
 
2.0%
18.9082 29
 
1.8%
Other values (210) 1192
75.6%
ValueCountFrequency (%)
0.0 24
1.5%
1.9707 1
 
0.1%
2.0444 1
 
0.1%
2.0485 4
 
0.3%
2.11 1
 
0.1%
2.1252 1
 
0.1%
2.1425 1
 
0.1%
2.6406 1
 
0.1%
2.8241 4
 
0.3%
3.5499 4
 
0.3%
ValueCountFrequency (%)
83.6429 3
 
0.2%
81.2449 16
1.0%
55.3982 2
 
0.1%
50.256 1
 
0.1%
48.6642 1
 
0.1%
47.299 1
 
0.1%
46.1346 1
 
0.1%
45.2881 1
 
0.1%
38.158 1
 
0.1%
37.981 1
 
0.1%

주택분양면적
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.591105
Minimum0
Maximum210.6482
Zeros1178
Zeros (%)74.7%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2023-12-12T18:59:42.074790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q342.1985
95-th percentile105.4604
Maximum210.6482
Range210.6482
Interquartile range (IQR)42.1985

Descriptive statistics

Standard deviation40.203394
Coefficient of variation (CV)1.7796117
Kurtosis0.31158129
Mean22.591105
Median Absolute Deviation (MAD)0
Skewness1.3756087
Sum35626.172
Variance1616.3129
MonotonicityNot monotonic
2023-12-12T18:59:42.260658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1178
74.7%
76.1958 46
 
2.9%
105.4604 38
 
2.4%
92.6915 31
 
2.0%
76.2767 28
 
1.8%
105.1424 24
 
1.5%
83.4297 10
 
0.6%
82.9506 10
 
0.6%
69.4741 10
 
0.6%
83.3334 10
 
0.6%
Other values (60) 192
 
12.2%
ValueCountFrequency (%)
0.0 1178
74.7%
40.595 1
 
0.1%
42.1144 1
 
0.1%
42.1985 4
 
0.3%
43.4645 1
 
0.1%
43.7779 1
 
0.1%
44.1338 1
 
0.1%
45.6051 2
 
0.1%
47.2902 2
 
0.1%
48.8156 5
 
0.3%
ValueCountFrequency (%)
210.6482 1
 
0.1%
146.4469 1
 
0.1%
138.6303 4
0.3%
138.5597 4
0.3%
120.8585 1
 
0.1%
116.4528 7
0.4%
116.0181 7
0.4%
115.8121 7
0.4%
115.5264 7
0.4%
113.3361 4
0.3%

주택계약면적
Real number (ℝ)

ZEROS 

Distinct211
Distinct (%)13.5%
Missing10
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean127.10142
Minimum0
Maximum240.089
Zeros27
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2023-12-12T18:59:42.455578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43.8249
Q1104.1785
median121.3565
Q3157.7363
95-th percentile218.9008
Maximum240.089
Range240.089
Interquartile range (IQR)53.5578

Descriptive statistics

Standard deviation44.828556
Coefficient of variation (CV)0.3526991
Kurtosis0.58596136
Mean127.10142
Median Absolute Deviation (MAD)26.938
Skewness-0.18450219
Sum199167.93
Variance2009.5995
MonotonicityNot monotonic
2023-12-12T18:59:42.629809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106.8701 59
 
3.7%
98.1043 47
 
3.0%
157.5239 44
 
2.8%
160.6943 41
 
2.6%
160.9343 40
 
2.5%
135.9479 39
 
2.5%
157.7517 36
 
2.3%
157.7363 34
 
2.2%
119.4574 32
 
2.0%
114.7226 29
 
1.8%
Other values (201) 1166
73.9%
ValueCountFrequency (%)
0.0 27
1.7%
29.9196 16
1.0%
33.4423 1
 
0.1%
39.6905 1
 
0.1%
39.9469 4
 
0.3%
40.2187 4
 
0.3%
41.1583 2
 
0.1%
41.3797 3
 
0.2%
41.9391 1
 
0.1%
42.0281 4
 
0.3%
ValueCountFrequency (%)
240.089 1
 
0.1%
232.4177 1
 
0.1%
229.2573 18
1.1%
227.6106 18
1.1%
221.7759 17
1.1%
219.9722 18
1.1%
218.9008 18
1.1%
198.1568 6
 
0.4%
196.4069 5
 
0.3%
196.2362 6
 
0.4%

주택법정초과
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
0
1525 
<NA>
 
52

Length

Max length4
Median length1
Mean length1.098922
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1525
96.7%
<NA> 52
 
3.3%

Length

2023-12-12T18:59:42.805786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:42.963657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1525
96.7%
na 52
 
3.3%

주택건축면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
0
1525 
<NA>
 
52

Length

Max length4
Median length1
Mean length1.098922
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1525
96.7%
<NA> 52
 
3.3%

Length

2023-12-12T18:59:43.115459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:43.255056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1525
96.7%
na 52
 
3.3%

주택기타공용
Real number (ℝ)

MISSING  ZEROS 

Distinct102
Distinct (%)6.6%
Missing23
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean33.831395
Minimum0
Maximum80.563
Zeros176
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2023-12-12T18:59:43.432976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124.1991
median33.471
Q347.3649
95-th percentile72.0028
Maximum80.563
Range80.563
Interquartile range (IQR)23.1658

Descriptive statistics

Standard deviation18.467379
Coefficient of variation (CV)0.54586514
Kurtosis0.14388627
Mean33.831395
Median Absolute Deviation (MAD)10.6916
Skewness0.088385371
Sum52573.987
Variance341.04408
MonotonicityNot monotonic
2023-12-12T18:59:43.649055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 176
 
11.2%
30.4875 64
 
4.1%
25.6252 59
 
3.7%
21.9085 47
 
3.0%
24.1991 45
 
2.9%
51.4388 44
 
2.8%
50.8796 41
 
2.6%
51.0743 40
 
2.5%
51.6356 36
 
2.3%
51.6297 34
 
2.2%
Other values (92) 968
61.4%
ValueCountFrequency (%)
0.0 176
11.2%
5.6239 1
 
0.1%
5.6268 1
 
0.1%
6.7465 5
 
0.3%
6.7521 9
 
0.6%
9.5608 9
 
0.6%
9.5639 4
 
0.3%
20.725 8
 
0.5%
21.8754 16
 
1.0%
21.9035 29
 
1.8%
ValueCountFrequency (%)
80.563 18
1.1%
79.9368 18
1.1%
72.2933 18
1.1%
72.2511 17
1.1%
72.0028 18
1.1%
57.8746 10
0.6%
57.4805 4
 
0.3%
57.4652 4
 
0.3%
57.264 10
0.6%
57.0968 10
0.6%

주택대지지분
Real number (ℝ)

ZEROS 

Distinct199
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.14156
Minimum0
Maximum217.4407
Zeros28
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2023-12-12T18:59:43.862786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23.29
Q136.8299
median43.0503
Q351.812
95-th percentile71.725
Maximum217.4407
Range217.4407
Interquartile range (IQR)14.9821

Descriptive statistics

Standard deviation17.234031
Coefficient of variation (CV)0.39042641
Kurtosis23.275385
Mean44.14156
Median Absolute Deviation (MAD)8.7472
Skewness2.60834
Sum69611.241
Variance297.01182
MonotonicityNot monotonic
2023-12-12T18:59:44.060517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51.7056 64
 
4.1%
37.156 47
 
3.0%
23.29 45
 
2.9%
51.7975 44
 
2.8%
53.8491 40
 
2.5%
54.0551 38
 
2.4%
51.8126 36
 
2.3%
51.808 34
 
2.2%
27.5828 33
 
2.1%
45.394 32
 
2.0%
Other values (189) 1164
73.8%
ValueCountFrequency (%)
0.0 28
1.8%
13.3589 1
 
0.1%
17.4728 2
 
0.1%
17.4749 3
 
0.2%
17.8773 3
 
0.2%
18.0096 2
 
0.1%
18.1903 4
 
0.3%
18.5945 1
 
0.1%
18.7966 1
 
0.1%
19.0463 1
 
0.1%
ValueCountFrequency (%)
217.4407 2
0.1%
217.3713 1
 
0.1%
156.5591 1
 
0.1%
155.2646 2
0.1%
144.9125 2
0.1%
121.183 1
 
0.1%
85.9708 1
 
0.1%
80.579 1
 
0.1%
77.6332 4
0.3%
76.5176 2
0.1%

등록자번호
Categorical

Distinct23
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
admin
264 
자료이관
216 
분양
195 
99999992
172 
20040189
162 
Other values (18)
568 

Length

Max length8
Median length8
Mean length6.1889664
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
admin 264
16.7%
자료이관 216
13.7%
분양 195
12.4%
99999992 172
10.9%
20040189 162
10.3%
19920113 69
 
4.4%
20091003 66
 
4.2%
20090218 58
 
3.7%
20040175 56
 
3.6%
19920128 55
 
3.5%
Other values (13) 264
16.7%

Length

2023-12-12T18:59:44.230757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
admin 264
16.7%
자료이관 216
13.7%
분양 195
12.4%
99999992 172
10.9%
20040189 162
10.3%
19920113 69
 
4.4%
20091003 66
 
4.2%
20090218 58
 
3.7%
20040175 56
 
3.6%
19920128 55
 
3.5%
Other values (13) 264
16.7%

등록일시
Date

Distinct943
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
Minimum2007-07-03 11:22:09
Maximum2023-02-08 10:26:24
2023-12-12T18:59:44.358028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:59:44.541577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정자번호
Categorical

Distinct23
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
admin
222 
자료이관
216 
분양
195 
20040189
171 
99999992
165 
Other values (18)
608 

Length

Max length8
Median length8
Mean length6.2688649
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
admin 222
14.1%
자료이관 216
13.7%
분양 195
12.4%
20040189 171
10.8%
99999992 165
10.5%
19940148 113
7.2%
19920113 69
 
4.4%
20091003 66
 
4.2%
20090218 58
 
3.7%
20040175 56
 
3.6%
Other values (13) 246
15.6%

Length

2023-12-12T18:59:44.751291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
admin 222
14.1%
자료이관 216
13.7%
분양 195
12.4%
20040189 171
10.8%
99999992 165
10.5%
19940148 113
7.2%
19920113 69
 
4.4%
20091003 66
 
4.2%
20090218 58
 
3.7%
20040175 56
 
3.6%
Other values (13) 246
15.6%

수정일시
Date

Distinct928
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
Minimum2007-07-03 11:22:09
Maximum2023-02-08 10:26:24
2023-12-12T18:59:44.938569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:59:45.124371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

증액한도액
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3729866.8
Minimum0
Maximum77000000
Zeros1487
Zeros (%)94.3%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2023-12-12T18:59:45.281348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile33000000
Maximum77000000
Range77000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15692050
Coefficient of variation (CV)4.2071341
Kurtosis15.729271
Mean3729866.8
Median Absolute Deviation (MAD)0
Skewness4.1507612
Sum5.882 × 109
Variance2.4624043 × 1014
MonotonicityNot monotonic
2023-12-12T18:59:45.438128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1487
94.3%
77000000 53
 
3.4%
33000000 15
 
1.0%
60000000 12
 
0.8%
72000000 5
 
0.3%
48000000 2
 
0.1%
47000000 2
 
0.1%
36000000 1
 
0.1%
ValueCountFrequency (%)
0 1487
94.3%
33000000 15
 
1.0%
36000000 1
 
0.1%
47000000 2
 
0.1%
48000000 2
 
0.1%
60000000 12
 
0.8%
72000000 5
 
0.3%
77000000 53
 
3.4%
ValueCountFrequency (%)
77000000 53
 
3.4%
72000000 5
 
0.3%
60000000 12
 
0.8%
48000000 2
 
0.1%
47000000 2
 
0.1%
36000000 1
 
0.1%
33000000 15
 
1.0%
0 1487
94.3%

주차장면적
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.95879569
Minimum0
Maximum62.8578
Zeros1548
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2023-12-12T18:59:45.576647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum62.8578
Range62.8578
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.1327612
Coefficient of variation (CV)7.4392921
Kurtosis56.971276
Mean0.95879569
Median Absolute Deviation (MAD)0
Skewness7.5597878
Sum1512.0208
Variance50.876282
MonotonicityNot monotonic
2023-12-12T18:59:45.740120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 1548
98.2%
44.3775 9
 
0.6%
62.8379 9
 
0.6%
44.3413 5
 
0.3%
62.8578 4
 
0.3%
36.9627 1
 
0.1%
36.9818 1
 
0.1%
ValueCountFrequency (%)
0.0 1548
98.2%
36.9627 1
 
0.1%
36.9818 1
 
0.1%
44.3413 5
 
0.3%
44.3775 9
 
0.6%
62.8379 9
 
0.6%
62.8578 4
 
0.3%
ValueCountFrequency (%)
62.8578 4
 
0.3%
62.8379 9
 
0.6%
44.3775 9
 
0.6%
44.3413 5
 
0.3%
36.9818 1
 
0.1%
36.9627 1
 
0.1%
0.0 1548
98.2%

확장_현관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
0
1577 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1577
100.0%

Length

2023-12-12T18:59:45.906484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:46.055606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1577
100.0%

확장_주침실
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
0.0
1559 
5.127
 
9
4.312
 
9

Length

Max length5
Median length3
Mean length3.0228282
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1559
98.9%
5.127 9
 
0.6%
4.312 9
 
0.6%

Length

2023-12-12T18:59:46.195270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:46.355264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1559
98.9%
5.127 9
 
0.6%
4.312 9
 
0.6%

확장_침실1
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
0.0
1550 
4.305
 
18
5.305
 
9

Length

Max length5
Median length3
Mean length3.0342422
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1550
98.3%
4.305 18
 
1.1%
5.305 9
 
0.6%

Length

2023-12-12T18:59:46.504903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:46.638552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1550
98.3%
4.305 18
 
1.1%
5.305 9
 
0.6%

확장_침실2
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
0.0
1550 
4.305
 
27

Length

Max length5
Median length3
Mean length3.0342422
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1550
98.3%
4.305 27
 
1.7%

Length

2023-12-12T18:59:46.787660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:46.939195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1550
98.3%
4.305 27
 
1.7%

확장_거실
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
0.0
1550 
5.73
 
9
7.08
 
9
5.82
 
5
7.17
 
4

Length

Max length4
Median length3
Mean length3.0171211
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1550
98.3%
5.73 9
 
0.6%
7.08 9
 
0.6%
5.82 5
 
0.3%
7.17 4
 
0.3%

Length

2023-12-12T18:59:47.075716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:47.228173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1550
98.3%
5.73 9
 
0.6%
7.08 9
 
0.6%
5.82 5
 
0.3%
7.17 4
 
0.3%

확장_주방식당
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.4 KiB
0.0
1550 
8.0639
 
9
10.5746
 
9
5.9534
 
5
6.901
 
4

Length

Max length7
Median length3
Mean length3.0545339
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1550
98.3%
8.0639 9
 
0.6%
10.5746 9
 
0.6%
5.9534 5
 
0.3%
6.901 4
 
0.3%

Length

2023-12-12T18:59:47.378964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:59:47.554536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1550
98.3%
8.0639 9
 
0.6%
10.5746 9
 
0.6%
5.9534 5
 
0.3%
6.901 4
 
0.3%

Sample

주택코드주택타입코드주택타입명타입평수주택방향평수방수주택형태공급가액부가세주민건축비용주민부가세임대료국민주택기금융자한도금액대지비용건축비용주택전용면적주택공용면적주택분양면적주택계약면적주택법정초과주택건축면적주택기타공용주택대지지분등록자번호등록일시수정자번호수정일시증액한도액주차장면적확장_현관확장_주침실확장_침실1확장_침실2확장_거실확장_주방식당
030153DSW-0406<NA>53DSW<NA>220<NA>000004900000000053.408922.072975.481899.68090024.199123.29자료이관2016-09-02 23:03:15자료이관2016-09-02 23:03:1500.000.00.00.00.00.0
130153DSW-0303<NA>53DSW<NA>220<NA>000004900000000053.408922.072975.481899.68090024.199123.29자료이관2016-09-02 23:03:15자료이관2016-09-02 23:03:1500.000.00.00.00.00.0
230153ASW-0406<NA>53ASW<NA>220<NA>000004900000000053.408922.432375.8412100.04030024.199123.29자료이관2016-09-02 23:03:15자료이관2016-09-02 23:03:1500.000.00.00.00.00.0
330153ASE-9999<NA>53ASE<NA>220<NA>000004900000000053.408922.432375.8412100.04030024.199123.29자료이관2016-09-02 23:03:15자료이관2016-09-02 23:03:1500.000.00.00.00.00.0
430153ASE-0709<NA>53ASE<NA>220<NA>000004900000000053.408922.432375.8412100.04030024.199123.29자료이관2016-09-02 23:03:15자료이관2016-09-02 23:03:1500.000.00.00.00.00.0
530359ASW-0101<NA>59A남서243국민주택00000000059.974821.27010.0106.87010025.625237.7975200401722009-07-02 13:57:23200401722009-07-02 13:57:2300.000.00.00.00.00.0
630359ASW-0203<NA>59A남서240국민주택00000000059.974821.27010.0106.87010025.625237.7975분양2007-07-12 13:30:11분양2007-07-12 13:30:1100.000.00.00.00.00.0
730359ASW-0999<NA>59A남서243국민주택00000000059.974821.27010.0106.87010025.625237.7975200401722009-07-02 13:57:35200401722009-07-02 13:57:3500.000.00.00.00.00.0
830359ASE-0203<NA>59A남동243국민주택00000000059.974821.27010.0106.87010025.625237.7975200401722009-07-02 13:56:59200401722009-07-02 13:56:5900.000.00.00.00.00.0
930359ASS-0203<NA>59A남243국민주택00000000059.974821.27010.0106.87010025.625237.7975200401722009-07-02 13:57:13200401722009-07-02 13:57:1300.000.00.00.00.00.0
주택코드주택타입코드주택타입명타입평수주택방향평수방수주택형태공급가액부가세주민건축비용주민부가세임대료국민주택기금융자한도금액대지비용건축비용주택전용면적주택공용면적주택분양면적주택계약면적주택법정초과주택건축면적주택기타공용주택대지지분등록자번호등록일시수정자번호수정일시증액한도액주차장면적확장_현관확장_주침실확장_침실1확장_침실2확장_거실확장_주방식당
156730884BZZ0199-74<NA>84B<NA>84B0국민주택29050000000007500000000084.669525.14520.0160.69430050.879653.8491999999902023-02-08 10:26:24999999902023-02-08 10:26:2400.000.00.00.00.00.0
156830884AZZ0199-74<NA>84A<NA>84A0국민주택29750000000007500000000084.993424.86660.0160.93430051.074354.0551999999902023-02-08 10:26:24999999902023-02-08 10:26:2400.000.00.00.00.00.0
156930884AZZ0199-75<NA>84A<NA>84A0국민주택30350000000007500000000084.993424.86660.0160.93430051.074354.0551999999902023-02-08 10:26:24999999902023-02-08 10:26:2400.000.00.00.00.00.0
157030884BZZ0199-75<NA>84B<NA>84B0국민주택29650000000007500000000084.669525.14520.0160.69430050.879653.8491999999902023-02-08 10:26:24999999902023-02-08 10:26:2400.000.00.00.00.00.0
157130884AZZ0199-76<NA>84A<NA>84A0국민주택29450000000007500000000084.993424.86660.0160.93430051.074354.0551999999902023-02-08 10:26:24999999902023-02-08 10:26:2400.000.00.00.00.00.0
157230884BZZ0199-76<NA>84B<NA>84B0국민주택27600000000007500000000084.669525.14520.0160.69430050.879653.8491999999902023-02-08 10:26:24999999902023-02-08 10:26:2400.000.00.00.00.00.0
157330884BZZ0199-77<NA>84B<NA>84B0국민주택29350000000007500000000084.669525.14520.0160.69430050.879653.8491999999902023-02-08 10:26:24999999902023-02-08 10:26:2400.000.00.00.00.00.0
157430884BZZ0199-78<NA>84B<NA>84B0국민주택30250000000007500000000084.669525.14520.0160.69430050.879653.8491999999902023-02-08 10:26:24999999902023-02-08 10:26:2400.000.00.00.00.00.0
157530859AZZ0199-89<NA>59A<NA>59A3국민주택20300000000005500000000059.849618.90820.0114.72260035.964838.0638999999902023-02-08 10:26:24999999902023-02-08 10:26:2400.000.00.00.00.00.0
157630859BZZ0199-85<NA>59B<NA>59B3국민주택20550000000005500000000059.881718.54710.0114.41290035.984138.0843999999902023-02-08 10:26:24999999902023-02-08 10:26:2400.000.00.00.00.00.0