Overview

Dataset statistics

Number of variables31
Number of observations100
Missing cells201
Missing cells (%)6.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.3 KiB
Average record size in memory269.3 B

Variable types

Categorical17
DateTime2
Numeric8
Boolean4

Dataset

Description한국주택금융공사 담보정보에 관한 데이터이며(대출기관코드, 수신일자, 자료작성기준일자 등) 관련 칼럼과 값이 포함되어있습니다.
Author한국주택금융공사
URLhttps://www.data.go.kr/data/15049755/fileData.do

Alerts

수신일자 has constant value ""Constant
자료작성기준일자 has constant value ""Constant
자료제공목적코드 has constant value ""Constant
반복제공회차 has constant value ""Constant
유동화대상코드 has constant value ""Constant
주택유형코드 has constant value ""Constant
(주택)임대차중인방수 has constant value ""Constant
(주택)선순위임대차액 has constant value ""Constant
KB주택형면적 has constant value ""Constant
중도금연계최초LTV has constant value ""Constant
담보제공자코드 is highly imbalanced (58.2%)Imbalance
등기순위 is highly imbalanced (80.6%)Imbalance
친황경여부 is highly imbalanced (85.9%)Imbalance
경과년수 is highly imbalanced (54.7%)Imbalance
투기지역여부 is highly imbalanced (85.9%)Imbalance
투기과열지구여부 is highly imbalanced (71.4%)Imbalance
단지규모 has 67 (67.0%) missing valuesMissing
가구수증가율 has 67 (67.0%) missing valuesMissing
주택조사가격대비구입가격비율 has 67 (67.0%) missing valuesMissing
순번 has unique valuesUnique
주택조사가격대비구입가격비율 has 20 (20.0%) zerosZeros

Reproduction

Analysis started2023-12-12 14:35:39.745653
Analysis finished2023-12-12 14:35:40.057641
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
B088
44 
B004
32 
B020
12 
B010
B081
 
4

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB020
2nd rowB010
3rd rowB088
4th rowB088
5th rowB020

Common Values

ValueCountFrequency (%)
B088 44
44.0%
B004 32
32.0%
B020 12
 
12.0%
B010 6
 
6.0%
B081 4
 
4.0%
B003 2
 
2.0%

Length

2023-12-12T23:35:40.118618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:40.222056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b088 44
44.0%
b004 32
32.0%
b020 12
 
12.0%
b010 6
 
6.0%
b081 4
 
4.0%
b003 2
 
2.0%

수신일자
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2020-01-01 00:00:00
Maximum2020-01-01 00:00:00
2023-12-12T23:35:40.341271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:35:40.449479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2019-12-31 00:00:00
Maximum2019-12-31 00:00:00
2023-12-12T23:35:40.576466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:35:40.678874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

자료제공목적코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
CD
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
CD 100
100.0%

Length

2023-12-12T23:35:40.781309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:40.868743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
cd 100
100.0%

반복제공회차
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 100
100.0%

Length

2023-12-12T23:35:40.950046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:41.046521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 100
100.0%

순번
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2073.38
Minimum1978
Maximum2177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T23:35:41.176339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1978
5-th percentile1982.95
Q12002.75
median2073.5
Q32136.25
95-th percentile2172.05
Maximum2177
Range199
Interquartile range (IQR)133.5

Descriptive statistics

Standard deviation62.906501
Coefficient of variation (CV)0.030340073
Kurtosis-1.160398
Mean2073.38
Median Absolute Deviation (MAD)66
Skewness0.033659721
Sum207338
Variance3957.2279
MonotonicityNot monotonic
2023-12-12T23:35:41.349142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2045 1
 
1.0%
2103 1
 
1.0%
2003 1
 
1.0%
2004 1
 
1.0%
2005 1
 
1.0%
2096 1
 
1.0%
2097 1
 
1.0%
2098 1
 
1.0%
2099 1
 
1.0%
2100 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1978 1
1.0%
1979 1
1.0%
1980 1
1.0%
1981 1
1.0%
1982 1
1.0%
1983 1
1.0%
1984 1
1.0%
1985 1
1.0%
1986 1
1.0%
1987 1
1.0%
ValueCountFrequency (%)
2177 1
1.0%
2176 1
1.0%
2175 1
1.0%
2174 1
1.0%
2173 1
1.0%
2172 1
1.0%
2171 1
1.0%
2170 1
1.0%
2169 1
1.0%
2160 1
1.0%

담보제공자코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
85 
5
14 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row1
2nd row5
3rd row5
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 85
85.0%
5 14
 
14.0%
2 1
 
1.0%

Length

2023-12-12T23:35:41.472746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:41.573397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 85
85.0%
5 14
 
14.0%
2 1
 
1.0%

유동화대상코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
KHFCMB2020M-06
100 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKHFCMB2020M-06
2nd rowKHFCMB2020M-06
3rd rowKHFCMB2020M-06
4th rowKHFCMB2020M-06
5th rowKHFCMB2020M-06

Common Values

ValueCountFrequency (%)
KHFCMB2020M-06 100
100.0%

Length

2023-12-12T23:35:41.671277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:41.772585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
khfcmb2020m-06 100
100.0%

담보물건지코드
Real number (ℝ)

Distinct54
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27477.01
Minimum3631
Maximum63159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T23:35:41.877865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3631
5-th percentile12789
Q117770
median27502
Q331211
95-th percentile50679.95
Maximum63159
Range59528
Interquartile range (IQR)13441

Descriptive statistics

Standard deviation12092.435
Coefficient of variation (CV)0.44009283
Kurtosis0.72949138
Mean27477.01
Median Absolute Deviation (MAD)9188.5
Skewness0.95701762
Sum2747701
Variance1.4622699 × 108
MonotonicityNot monotonic
2023-12-12T23:35:42.013911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31211 12
 
12.0%
28113 11
 
11.0%
27502 8
 
8.0%
15885 4
 
4.0%
28362 3
 
3.0%
47767 3
 
3.0%
17726 3
 
3.0%
12789 3
 
3.0%
24303 3
 
3.0%
17770 3
 
3.0%
Other values (44) 47
47.0%
ValueCountFrequency (%)
3631 1
 
1.0%
10557 1
 
1.0%
11715 1
 
1.0%
12789 3
3.0%
13004 1
 
1.0%
13512 1
 
1.0%
13624 1
 
1.0%
14908 1
 
1.0%
14918 1
 
1.0%
15388 1
 
1.0%
ValueCountFrequency (%)
63159 1
 
1.0%
61027 2
2.0%
51753 1
 
1.0%
51382 1
 
1.0%
50643 1
 
1.0%
49246 1
 
1.0%
48794 1
 
1.0%
48045 1
 
1.0%
47767 3
3.0%
47710 1
 
1.0%

주택유형코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
110
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row110
2nd row110
3rd row110
4th row110
5th row110

Common Values

ValueCountFrequency (%)
110 100
100.0%

Length

2023-12-12T23:35:42.147184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:42.242086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
110 100
100.0%

토지면적크기
Real number (ℝ)

Distinct55
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.9472
Minimum50.82
Maximum97.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T23:35:42.347662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.82
5-th percentile59.51
Q171.33
median83.515
Q384.96
95-th percentile95.0575
Maximum97.62
Range46.8
Interquartile range (IQR)13.63

Descriptive statistics

Standard deviation11.434749
Coefficient of variation (CV)0.14860513
Kurtosis-0.64728289
Mean76.9472
Median Absolute Deviation (MAD)6.245
Skewness-0.51576891
Sum7694.72
Variance130.75348
MonotonicityNot monotonic
2023-12-12T23:35:42.806041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.96 12
 
12.0%
84.99 8
 
8.0%
71.33 6
 
6.0%
84.98 4
 
4.0%
84.68 3
 
3.0%
96.91 3
 
3.0%
84.93 3
 
3.0%
77.27 3
 
3.0%
59.89 3
 
3.0%
76.33 2
 
2.0%
Other values (45) 53
53.0%
ValueCountFrequency (%)
50.82 1
 
1.0%
51.71 1
 
1.0%
53.46 1
 
1.0%
59.44 1
 
1.0%
59.51 2
2.0%
59.59 2
2.0%
59.7 1
 
1.0%
59.89 3
3.0%
59.93 2
2.0%
59.95 1
 
1.0%
ValueCountFrequency (%)
97.62 1
 
1.0%
96.98 1
 
1.0%
96.91 3
 
3.0%
94.96 1
 
1.0%
84.99 8
8.0%
84.98 4
 
4.0%
84.97 1
 
1.0%
84.96 12
12.0%
84.95 1
 
1.0%
84.93 3
 
3.0%

(주택)건물면적
Real number (ℝ)

Distinct55
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.9472
Minimum50.82
Maximum97.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T23:35:42.952664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.82
5-th percentile59.51
Q171.33
median83.515
Q384.96
95-th percentile95.0575
Maximum97.62
Range46.8
Interquartile range (IQR)13.63

Descriptive statistics

Standard deviation11.434749
Coefficient of variation (CV)0.14860513
Kurtosis-0.64728289
Mean76.9472
Median Absolute Deviation (MAD)6.245
Skewness-0.51576891
Sum7694.72
Variance130.75348
MonotonicityNot monotonic
2023-12-12T23:35:43.091920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.96 12
 
12.0%
84.99 8
 
8.0%
71.33 6
 
6.0%
84.98 4
 
4.0%
84.68 3
 
3.0%
96.91 3
 
3.0%
84.93 3
 
3.0%
77.27 3
 
3.0%
59.89 3
 
3.0%
76.33 2
 
2.0%
Other values (45) 53
53.0%
ValueCountFrequency (%)
50.82 1
 
1.0%
51.71 1
 
1.0%
53.46 1
 
1.0%
59.44 1
 
1.0%
59.51 2
2.0%
59.59 2
2.0%
59.7 1
 
1.0%
59.89 3
3.0%
59.93 2
2.0%
59.95 1
 
1.0%
ValueCountFrequency (%)
97.62 1
 
1.0%
96.98 1
 
1.0%
96.91 3
 
3.0%
94.96 1
 
1.0%
84.99 8
8.0%
84.98 4
 
4.0%
84.97 1
 
1.0%
84.96 12
12.0%
84.95 1
 
1.0%
84.93 3
 
3.0%

(주택)임대차중인방수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

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 (%)
0 100
100.0%

Length

2023-12-12T23:35:43.211489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:43.296587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%
Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
63 
3
36 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row3
2nd row3
3rd row0
4th row3
5th row0

Common Values

ValueCountFrequency (%)
0 63
63.0%
3 36
36.0%
4 1
 
1.0%

Length

2023-12-12T23:35:43.390971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:43.483447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 63
63.0%
3 36
36.0%
4 1
 
1.0%
Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
AP
51 
SB
30 
IA
12 
AB

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAP
2nd rowIA
3rd rowSB
4th rowSB
5th rowAP

Common Values

ValueCountFrequency (%)
AP 51
51.0%
SB 30
30.0%
IA 12
 
12.0%
AB 7
 
7.0%

Length

2023-12-12T23:35:43.586925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:43.709985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ap 51
51.0%
sb 30
30.0%
ia 12
 
12.0%
ab 7
 
7.0%
Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
A001
51 
<NA>
30 
I002
I013
 
4
H001
 
3
Other values (2)
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st rowA001
2nd rowI002
3rd row<NA>
4th row<NA>
5th rowA001

Common Values

ValueCountFrequency (%)
A001 51
51.0%
<NA> 30
30.0%
I002 9
 
9.0%
I013 4
 
4.0%
H001 3
 
3.0%
I020 2
 
2.0%
I034 1
 
1.0%

Length

2023-12-12T23:35:43.817140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:43.940379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a001 51
51.0%
na 30
30.0%
i002 9
 
9.0%
i013 4
 
4.0%
h001 3
 
3.0%
i020 2
 
2.0%
i034 1
 
1.0%

(주택)선순위임대차액
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

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 (%)
0 100
100.0%

Length

2023-12-12T23:35:44.057675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:44.165641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

LTV율
Real number (ℝ)

Distinct84
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.2795
Minimum9.29
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T23:35:44.283814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.29
5-th percentile23.001
Q156.8375
median64.225
Q369.7625
95-th percentile70
Maximum70
Range60.71
Interquartile range (IQR)12.925

Descriptive statistics

Standard deviation14.517689
Coefficient of variation (CV)0.24490235
Kurtosis2.3135747
Mean59.2795
Median Absolute Deviation (MAD)5.55
Skewness-1.7052949
Sum5927.95
Variance210.76328
MonotonicityNot monotonic
2023-12-12T23:35:44.489137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70.0 9
 
9.0%
69.92 4
 
4.0%
69.88 3
 
3.0%
69.7 2
 
2.0%
59.92 2
 
2.0%
69.94 2
 
2.0%
60.61 1
 
1.0%
23.05 1
 
1.0%
57.52 1
 
1.0%
69.76 1
 
1.0%
Other values (74) 74
74.0%
ValueCountFrequency (%)
9.29 1
1.0%
15.54 1
1.0%
15.67 1
1.0%
21.76 1
1.0%
22.07 1
1.0%
23.05 1
1.0%
30.18 1
1.0%
30.74 1
1.0%
34.65 1
1.0%
35.24 1
1.0%
ValueCountFrequency (%)
70.0 9
9.0%
69.98 1
 
1.0%
69.96 1
 
1.0%
69.94 2
 
2.0%
69.93 1
 
1.0%
69.92 4
4.0%
69.88 3
 
3.0%
69.82 1
 
1.0%
69.81 1
 
1.0%
69.78 1
 
1.0%

등기순위
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
97 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 97
97.0%
2 3
 
3.0%

Length

2023-12-12T23:35:44.624179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:44.721520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 97
97.0%
2 3
 
3.0%
Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2
83 
1
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 83
83.0%
1 17
 
17.0%

Length

2023-12-12T23:35:44.839291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:44.938724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 83
83.0%
1 17
 
17.0%

KB주택형면적
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

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 (%)
0 100
100.0%

Length

2023-12-12T23:35:45.049556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:45.168112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

중도금연계최초LTV
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

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 (%)
0 100
100.0%

Length

2023-12-12T23:35:45.292223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:45.425598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

친황경여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
98 
True
 
2
ValueCountFrequency (%)
False 98
98.0%
True 2
 
2.0%
2023-12-12T23:35:45.502310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

단지규모
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)69.7%
Missing67
Missing (%)67.0%
Infinite0
Infinite (%)0.0%
Mean1282.3333
Minimum155
Maximum2529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T23:35:45.606030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum155
5-th percentile398.6
Q1706
median920
Q31745
95-th percentile2529
Maximum2529
Range2374
Interquartile range (IQR)1039

Descriptive statistics

Standard deviation799.72424
Coefficient of variation (CV)0.6236477
Kurtosis-1.1401511
Mean1282.3333
Median Absolute Deviation (MAD)400
Skewness0.60813477
Sum42317
Variance639558.85
MonotonicityNot monotonic
2023-12-12T23:35:45.740142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2529 7
 
7.0%
1534 3
 
3.0%
1745 2
 
2.0%
892 2
 
2.0%
852 1
 
1.0%
1092 1
 
1.0%
2400 1
 
1.0%
155 1
 
1.0%
706 1
 
1.0%
752 1
 
1.0%
Other values (13) 13
 
13.0%
(Missing) 67
67.0%
ValueCountFrequency (%)
155 1
1.0%
278 1
1.0%
479 1
1.0%
520 1
1.0%
533 1
1.0%
548 1
1.0%
581 1
1.0%
635 1
1.0%
706 1
1.0%
726 1
1.0%
ValueCountFrequency (%)
2529 7
7.0%
2400 1
 
1.0%
1745 2
 
2.0%
1534 3
3.0%
1092 1
 
1.0%
934 1
 
1.0%
921 1
 
1.0%
920 1
 
1.0%
892 2
 
2.0%
872 1
 
1.0%

경과년수
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
67 
0.0
29 
23.84
 
1
1.78
 
1
0.19
 
1

Length

Max length5
Median length4
Mean length3.73
Min length3

Unique

Unique4 ?
Unique (%)4.0%

Sample

1st row0.0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 67
67.0%
0.0 29
29.0%
23.84 1
 
1.0%
1.78 1
 
1.0%
0.19 1
 
1.0%
16.81 1
 
1.0%

Length

2023-12-12T23:35:45.894029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:46.009255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
67.0%
0.0 29
29.0%
23.84 1
 
1.0%
1.78 1
 
1.0%
0.19 1
 
1.0%
16.81 1
 
1.0%

가구수증가율
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)48.5%
Missing67
Missing (%)67.0%
Infinite0
Infinite (%)0.0%
Mean4.3454545
Minimum0.2
Maximum16.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T23:35:46.124540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.98
Q11.6
median2.1
Q34.3
95-th percentile14.8
Maximum16.8
Range16.6
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation4.4896472
Coefficient of variation (CV)1.0331824
Kurtosis1.6422411
Mean4.3454545
Median Absolute Deviation (MAD)1
Skewness1.6258197
Sum143.4
Variance20.156932
MonotonicityNot monotonic
2023-12-12T23:35:46.265964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1.9 7
 
7.0%
1.1 4
 
4.0%
4.3 3
 
3.0%
14.8 2
 
2.0%
10.0 2
 
2.0%
2.5 2
 
2.0%
2.1 2
 
2.0%
6.5 2
 
2.0%
1.5 2
 
2.0%
4.2 1
 
1.0%
Other values (6) 6
 
6.0%
(Missing) 67
67.0%
ValueCountFrequency (%)
0.2 1
 
1.0%
0.8 1
 
1.0%
1.1 4
4.0%
1.5 2
 
2.0%
1.6 1
 
1.0%
1.9 7
7.0%
2.1 2
 
2.0%
2.5 2
 
2.0%
3.5 1
 
1.0%
4.2 1
 
1.0%
ValueCountFrequency (%)
16.8 1
 
1.0%
14.8 2
2.0%
10.9 1
 
1.0%
10.0 2
2.0%
6.5 2
2.0%
4.3 3
3.0%
4.2 1
 
1.0%
3.5 1
 
1.0%
2.5 2
2.0%
2.1 2
2.0%

주택조사가격대비구입가격비율
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)42.4%
Missing67
Missing (%)67.0%
Infinite0
Infinite (%)0.0%
Mean4.8915152
Minimum0
Maximum30.01
Zeros20
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T23:35:46.388615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35.5
95-th percentile22.138
Maximum30.01
Range30.01
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation8.1821132
Coefficient of variation (CV)1.6727155
Kurtosis2.1111799
Mean4.8915152
Median Absolute Deviation (MAD)0
Skewness1.7227907
Sum161.42
Variance66.946976
MonotonicityNot monotonic
2023-12-12T23:35:46.514323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 20
 
20.0%
4.17 1
 
1.0%
0.86 1
 
1.0%
21.65 1
 
1.0%
4.18 1
 
1.0%
12.23 1
 
1.0%
18.01 1
 
1.0%
30.01 1
 
1.0%
16.16 1
 
1.0%
11.11 1
 
1.0%
Other values (4) 4
 
4.0%
(Missing) 67
67.0%
ValueCountFrequency (%)
0.0 20
20.0%
0.86 1
 
1.0%
4.17 1
 
1.0%
4.18 1
 
1.0%
5.39 1
 
1.0%
5.5 1
 
1.0%
9.28 1
 
1.0%
11.11 1
 
1.0%
12.23 1
 
1.0%
16.16 1
 
1.0%
ValueCountFrequency (%)
30.01 1
1.0%
22.87 1
1.0%
21.65 1
1.0%
18.01 1
1.0%
16.16 1
1.0%
12.23 1
1.0%
11.11 1
1.0%
9.28 1
1.0%
5.5 1
1.0%
5.39 1
1.0%
Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
87 
True
13 
ValueCountFrequency (%)
False 87
87.0%
True 13
 
13.0%
2023-12-12T23:35:46.645938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

투기지역여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
98 
True
 
2
ValueCountFrequency (%)
False 98
98.0%
True 2
 
2.0%
2023-12-12T23:35:46.738580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

투기과열지구여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
95 
True
 
5
ValueCountFrequency (%)
False 95
95.0%
True 5
 
5.0%
2023-12-12T23:35:46.822151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
3
81 
0
17 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row0
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 81
81.0%
0 17
 
17.0%
1 2
 
2.0%

Length

2023-12-12T23:35:46.932282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:35:47.039986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 81
81.0%
0 17
 
17.0%
1 2
 
2.0%

Sample

대출기관코드수신일자자료작성기준일자자료제공목적코드반복제공회차순번담보제공자코드유동화대상코드담보물건지코드주택유형코드토지면적크기(주택)건물면적(주택)임대차중인방수(주택)임대차없는방수담보평가방법구분코드담보평가기관코드(주택)선순위임대차액LTV율등기순위등기구분코드KB주택형면적중도금연계최초LTV친황경여부단지규모경과년수가구수증가율주택조사가격대비구입가격비율청약조정대상지역여부투기지역여부투기과열지구여부후취담보코드
0B0202020-01-012019-12-31CD120451KHFCMB2020M-061588511059.5159.5103APA001054.792200N7260.00.20.0NNN3
1B0102020-01-012019-12-31CD120465KHFCMB2020M-063197811084.9884.9803IAI002070.01100N<NA><NA><NA><NA>NNN0
2B0882020-01-012019-12-31CD120475KHFCMB2020M-065138211084.184.100SB<NA>063.931200N<NA><NA><NA><NA>NNN3
3B0882020-01-012019-12-31CD120481KHFCMB2020M-064776711076.2276.2203SB<NA>069.781200N<NA><NA><NA><NA>YNN3
4B0202020-01-012019-12-31CD120521KHFCMB2020M-062811311084.9384.9300APA001069.01200N<NA><NA><NA><NA>NNN3
5B0042020-01-012019-12-31CD120541KHFCMB2020M-063121111071.3371.3300APA001053.81200N15340.01.10.0NNN3
6B0882020-01-012019-12-31CD120561KHFCMB2020M-061772611059.759.700APA001069.471200N9210.04.30.0NNN3
7B0042020-01-012019-12-31CD120581KHFCMB2020M-061588511059.5959.5903APA001058.681200N<NA><NA><NA><NA>NNN3
8B0202020-01-012019-12-31CD120601KHFCMB2020M-061351211050.8250.8200IAI002041.671100N27823.840.84.17YNY0
9B0042020-01-012019-12-31CD120691KHFCMB2020M-063121111059.8959.8900APA001069.591200N15340.01.10.0NNN3
대출기관코드수신일자자료작성기준일자자료제공목적코드반복제공회차순번담보제공자코드유동화대상코드담보물건지코드주택유형코드토지면적크기(주택)건물면적(주택)임대차중인방수(주택)임대차없는방수담보평가방법구분코드담보평가기관코드(주택)선순위임대차액LTV율등기순위등기구분코드KB주택형면적중도금연계최초LTV친황경여부단지규모경과년수가구수증가율주택조사가격대비구입가격비율청약조정대상지역여부투기지역여부투기과열지구여부후취담보코드
90B0042020-01-012019-12-31CD119871KHFCMB2020M-062811311077.2777.2700APA001069.711200N25290.01.90.0NNN3
91B0202020-01-012019-12-31CD119861KHFCMB2020M-063014611094.9694.9600ABI020062.231200Y10920.014.822.87YYY3
92B0882020-01-012019-12-31CD119851KHFCMB2020M-061811111061.9961.9900SB<NA>069.531200N<NA><NA><NA><NA>NNN3
93B0042020-01-012019-12-31CD119845KHFCMB2020M-062285811084.9984.9903IAH001048.741100N<NA><NA><NA><NA>NNN0
94B0882020-01-012019-12-31CD119831KHFCMB2020M-062811311084.9384.9300APA001059.761200N<NA><NA><NA><NA>NNN3
95B0042020-01-012019-12-31CD119821KHFCMB2020M-062836211084.9584.9503APA001070.01200N<NA><NA><NA><NA>NNN3
96B0812020-01-012019-12-31CD119811KHFCMB2020M-06363111059.9359.9303IAI00209.291100N<NA><NA><NA><NA>YNY0
97B0102020-01-012019-12-31CD119801KHFCMB2020M-062750211096.9196.9100APA001069.71200N<NA><NA><NA><NA>NNN3
98B0042020-01-012019-12-31CD119791KHFCMB2020M-062811311084.9684.9600APA001059.911200N25290.01.90.0NNN3
99B0042020-01-012019-12-31CD119781KHFCMB2020M-063121111059.9959.9903APA001039.41200N<NA><NA><NA><NA>NNN3