Overview

Dataset statistics

Number of variables10
Number of observations67
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory90.0 B

Variable types

Categorical3
Numeric7

Dataset

Description대전도시공사 소규모임대주택은 저소득 주거공급 및 취약계층 주거복지을 위해 제공되는 소규모임대주택 현황자료 입니다.
URLhttps://www.data.go.kr/data/15103611/fileData.do

Alerts

동 has constant value ""Constant
순번 is highly overall correlated with 호High correlation
호 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
임대면적 is highly overall correlated with 전용면적 and 3 other fieldsHigh correlation
전용면적 is highly overall correlated with 임대면적 and 2 other fieldsHigh correlation
공용면적 is highly overall correlated with 호 and 3 other fieldsHigh correlation
보증금 is highly overall correlated with 월임대료 and 1 other fieldsHigh correlation
월임대료 is highly overall correlated with 임대면적 and 3 other fieldsHigh correlation
임대대상명 is highly overall correlated with 임대면적 and 3 other fieldsHigh correlation
임대구분 is highly imbalanced (80.6%)Imbalance

Reproduction

Analysis started2023-12-12 15:37:45.873939
Analysis finished2023-12-12 15:37:53.328447
Duration7.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

임대대상명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
대화동 35-20(소규모임대주택)
15 
읍내동 214-2(소규모임대주택)
15 
대사동 198-190(소규모임대주택)
14 
문화동 24-49(소규모임대주택)
12 
부사동 390번지(소규모임대주택)
11 

Length

Max length20
Median length18
Mean length18.41791
Min length18

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대사동 198-190(소규모임대주택)
2nd row대사동 198-190(소규모임대주택)
3rd row대사동 198-190(소규모임대주택)
4th row대사동 198-190(소규모임대주택)
5th row대사동 198-190(소규모임대주택)

Common Values

ValueCountFrequency (%)
대화동 35-20(소규모임대주택) 15
22.4%
읍내동 214-2(소규모임대주택) 15
22.4%
대사동 198-190(소규모임대주택) 14
20.9%
문화동 24-49(소규모임대주택) 12
17.9%
부사동 390번지(소규모임대주택) 11
16.4%

Length

2023-12-13T00:37:53.470599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:37:53.645352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대화동 15
11.2%
35-20(소규모임대주택 15
11.2%
읍내동 15
11.2%
214-2(소규모임대주택 15
11.2%
대사동 14
10.4%
198-190(소규모임대주택 14
10.4%
문화동 12
9.0%
24-49(소규모임대주택 12
9.0%
부사동 11
8.2%
390번지(소규모임대주택 11
8.2%

순번
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2985075
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-13T00:37:53.803268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q310.5
95-th percentile14
Maximum15
Range14
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation4.0489988
Coefficient of variation (CV)0.5547708
Kurtosis-1.0594125
Mean7.2985075
Median Absolute Deviation (MAD)3
Skewness0.12357453
Sum489
Variance16.394392
MonotonicityNot monotonic
2023-12-13T00:37:53.957570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 5
 
7.5%
2 5
 
7.5%
3 5
 
7.5%
4 5
 
7.5%
5 5
 
7.5%
6 5
 
7.5%
7 5
 
7.5%
8 5
 
7.5%
9 5
 
7.5%
10 5
 
7.5%
Other values (5) 17
25.4%
ValueCountFrequency (%)
1 5
7.5%
2 5
7.5%
3 5
7.5%
4 5
7.5%
5 5
7.5%
6 5
7.5%
7 5
7.5%
8 5
7.5%
9 5
7.5%
10 5
7.5%
ValueCountFrequency (%)
15 2
 
3.0%
14 3
4.5%
13 3
4.5%
12 4
6.0%
11 5
7.5%
10 5
7.5%
9 5
7.5%
8 5
7.5%
7 5
7.5%
6 5
7.5%

동
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
1
67 

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 67
100.0%

Length

2023-12-13T00:37:54.116840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:37:54.220622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 67
100.0%

호
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean225.92537
Minimum101
Maximum404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-13T00:37:54.355409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile102
Q1107.5
median204
Q3303.5
95-th percentile374
Maximum404
Range303
Interquartile range (IQR)196

Descriptive statistics

Standard deviation91.960517
Coefficient of variation (CV)0.40703935
Kurtosis-1.0830259
Mean225.92537
Median Absolute Deviation (MAD)99
Skewness0.018219917
Sum15137
Variance8456.7368
MonotonicityNot monotonic
2023-12-13T00:37:54.524455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
201 5
 
7.5%
204 5
 
7.5%
203 4
 
6.0%
301 4
 
6.0%
302 4
 
6.0%
303 4
 
6.0%
304 4
 
6.0%
202 4
 
6.0%
102 3
 
4.5%
305 3
 
4.5%
Other values (18) 27
40.3%
ValueCountFrequency (%)
101 3
4.5%
102 3
4.5%
103 3
4.5%
104 3
4.5%
105 3
4.5%
106 1
 
1.5%
107 1
 
1.5%
108 1
 
1.5%
201 5
7.5%
202 4
6.0%
ValueCountFrequency (%)
404 1
1.5%
403 1
1.5%
402 1
1.5%
401 1
1.5%
311 1
1.5%
310 1
1.5%
309 1
1.5%
308 1
1.5%
307 1
1.5%
306 1
1.5%

임대면적
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.442388
Minimum30.07
Maximum90.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-13T00:37:54.708877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30.07
5-th percentile31.53
Q133.31
median34.89
Q341.055
95-th percentile72.1
Maximum90.47
Range60.4
Interquartile range (IQR)7.745

Descriptive statistics

Standard deviation14.993832
Coefficient of variation (CV)0.36179942
Kurtosis2.9575021
Mean41.442388
Median Absolute Deviation (MAD)2.3
Skewness2.0213689
Sum2776.64
Variance224.815
MonotonicityNot monotonic
2023-12-13T00:37:54.878649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
34.89 9
13.4%
32.59 8
11.9%
34.66 8
11.9%
34.1 6
9.0%
42.59 5
 
7.5%
72.1 4
 
6.0%
31.53 4
 
6.0%
33.31 3
 
4.5%
39.52 3
 
4.5%
39.44 3
 
4.5%
Other values (8) 14
20.9%
ValueCountFrequency (%)
30.07 2
 
3.0%
31.53 4
6.0%
32.39 2
 
3.0%
32.59 8
11.9%
33.31 3
 
4.5%
34.1 6
9.0%
34.66 8
11.9%
34.89 9
13.4%
38.66 2
 
3.0%
39.44 3
 
4.5%
ValueCountFrequency (%)
90.47 1
 
1.5%
85.19 2
 
3.0%
72.1 4
6.0%
71.88 2
 
3.0%
51.82 2
 
3.0%
45.26 1
 
1.5%
42.59 5
7.5%
39.52 3
4.5%
39.44 3
4.5%
38.66 2
 
3.0%

전용면적
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.651791
Minimum22.75
Maximum67.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-13T00:37:55.032241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.75
5-th percentile23.85
Q125.74
median27.15
Q331.175
95-th percentile56.94
Maximum67.12
Range44.37
Interquartile range (IQR)5.435

Descriptive statistics

Standard deviation11.309376
Coefficient of variation (CV)0.35730604
Kurtosis2.6727607
Mean31.651791
Median Absolute Deviation (MAD)1.95
Skewness1.9873434
Sum2120.67
Variance127.90199
MonotonicityNot monotonic
2023-12-13T00:37:55.194567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
25.98 14
20.9%
27.15 9
13.4%
25.74 8
11.9%
31.6 5
 
7.5%
56.94 4
 
6.0%
23.85 4
 
6.0%
25.2 3
 
4.5%
30.69 3
 
4.5%
30.75 3
 
4.5%
24.5 2
 
3.0%
Other values (7) 12
17.9%
ValueCountFrequency (%)
22.75 2
 
3.0%
23.85 4
 
6.0%
24.5 2
 
3.0%
25.2 3
 
4.5%
25.74 8
11.9%
25.98 14
20.9%
27.15 9
13.4%
29.25 2
 
3.0%
30.69 3
 
4.5%
30.75 3
 
4.5%
ValueCountFrequency (%)
67.12 1
 
1.5%
63.2 2
 
3.0%
56.94 4
6.0%
53.55 2
 
3.0%
39.2 2
 
3.0%
33.58 1
 
1.5%
31.6 5
7.5%
30.75 3
4.5%
30.69 3
4.5%
29.25 2
 
3.0%

공용면적
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7971642
Minimum6.85
Maximum23.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-13T00:37:55.351933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.85
5-th percentile6.85
Q17.74
median8.12
Q310.2
95-th percentile18.55
Maximum23.35
Range16.5
Interquartile range (IQR)2.46

Descriptive statistics

Standard deviation3.8199567
Coefficient of variation (CV)0.38990433
Kurtosis4.1979238
Mean9.7971642
Median Absolute Deviation (MAD)0.63
Skewness2.1593331
Sum656.41
Variance14.592069
MonotonicityNot monotonic
2023-12-13T00:37:55.515624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
7.74 9
13.4%
6.85 8
11.9%
8.68 8
11.9%
8.12 6
9.0%
10.99 5
 
7.5%
15.16 4
 
6.0%
7.68 4
 
6.0%
8.11 3
 
4.5%
8.77 3
 
4.5%
8.75 3
 
4.5%
Other values (8) 14
20.9%
ValueCountFrequency (%)
6.85 8
11.9%
7.32 2
 
3.0%
7.68 4
6.0%
7.74 9
13.4%
7.89 2
 
3.0%
8.11 3
 
4.5%
8.12 6
9.0%
8.68 8
11.9%
8.75 3
 
4.5%
8.77 3
 
4.5%
ValueCountFrequency (%)
23.35 1
 
1.5%
21.99 2
 
3.0%
18.55 2
 
3.0%
15.16 4
6.0%
12.62 2
 
3.0%
11.68 1
 
1.5%
10.99 5
7.5%
9.41 2
 
3.0%
8.77 3
4.5%
8.75 3
4.5%

임대구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
수급자
65 
일반
 
2

Length

Max length3
Median length3
Mean length2.9701493
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수급자
2nd row일반
3rd row수급자
4th row수급자
5th row수급자

Common Values

ValueCountFrequency (%)
수급자 65
97.0%
일반 2
 
3.0%

Length

2023-12-13T00:37:55.717714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:37:55.869679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수급자 65
97.0%
일반 2
 
3.0%

보증금
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1520949.1
Minimum570010
Maximum4556000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-13T00:37:55.973947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum570010
5-th percentile607872
Q1734205
median1241000
Q31968500
95-th percentile4157900
Maximum4556000
Range3985990
Interquartile range (IQR)1234295

Descriptive statistics

Standard deviation995964.88
Coefficient of variation (CV)0.65483117
Kurtosis3.1414377
Mean1520949.1
Median Absolute Deviation (MAD)507510
Skewness1.7933986
Sum1.0190359 × 108
Variance9.9194605 × 1011
MonotonicityNot monotonic
2023-12-13T00:37:56.111354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1241000 9
13.4%
2064000 8
 
11.9%
1297000 5
 
7.5%
620920 5
 
7.5%
648880 4
 
6.0%
1520000 4
 
6.0%
4556000 4
 
6.0%
1087000 2
 
3.0%
1204000 2
 
3.0%
733490 2
 
3.0%
Other values (18) 22
32.8%
ValueCountFrequency (%)
570010 2
 
3.0%
585550 1
 
1.5%
602280 1
 
1.5%
620920 5
7.5%
648880 4
6.0%
699000 1
 
1.5%
699070 1
 
1.5%
733490 2
 
3.0%
734920 2
 
3.0%
936880 1
 
1.5%
ValueCountFrequency (%)
4556000 4
6.0%
3229000 1
 
1.5%
3041000 2
 
3.0%
2566000 1
 
1.5%
2386000 1
 
1.5%
2064000 8
11.9%
1873000 1
 
1.5%
1615000 1
 
1.5%
1520000 4
6.0%
1469850 1
 
1.5%

월임대료
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34434.925
Minimum21770
Maximum90990
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-13T00:37:56.273499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21770
5-th percentile22820
Q124860
median25980
Q339320
95-th percentile82983
Maximum90990
Range69220
Interquartile range (IQR)14460

Descriptive statistics

Standard deviation17258.606
Coefficient of variation (CV)0.50119483
Kurtosis4.9340037
Mean34434.925
Median Absolute Deviation (MAD)3180
Skewness2.3142222
Sum2307140
Variance2.978595 × 108
MonotonicityNot monotonic
2023-12-13T00:37:56.420722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
24860 14
20.9%
41130 8
11.9%
25980 8
11.9%
30270 5
 
7.5%
90990 4
 
6.0%
24110 3
 
4.5%
22820 3
 
4.5%
29420 3
 
4.5%
29370 3
 
4.5%
27990 2
 
3.0%
Other values (10) 14
20.9%
ValueCountFrequency (%)
21770 2
 
3.0%
22800 1
 
1.5%
22820 3
 
4.5%
23440 2
 
3.0%
24110 3
 
4.5%
24860 14
20.9%
25900 1
 
1.5%
25980 8
11.9%
27990 2
 
3.0%
29370 3
 
4.5%
ValueCountFrequency (%)
90990 4
6.0%
64300 1
 
1.5%
60540 2
 
3.0%
51080 2
 
3.0%
41130 8
11.9%
37510 1
 
1.5%
37500 1
 
1.5%
32100 1
 
1.5%
30270 5
7.5%
29420 3
 
4.5%

Interactions

2023-12-13T00:37:51.688652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:46.290287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:47.301416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:48.214049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:49.002254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:49.707026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:50.399153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:51.829736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:46.424701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:47.433627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:48.328561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:49.116017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:49.806730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:50.864015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:51.973434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:46.563565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:47.564334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:48.444254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:49.220858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:49.901253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:50.978288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:52.144160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:46.733318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:47.697108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:48.546569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:49.308651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:49.987991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:51.101018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:52.411361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:46.860216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:47.792055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:48.643070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:49.388415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:50.084455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:51.230964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:52.590614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:46.997244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:47.941005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:48.755499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:49.475410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:50.179650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:51.384082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:52.767627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:47.156914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:48.089444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:48.895777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:49.592865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:50.295187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:37:51.552871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:37:56.538114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
임대대상명순번호임대면적전용면적공용면적임대구분보증금월임대료
임대대상명1.0000.0000.5210.6710.6320.7190.2010.7740.740
순번0.0001.0000.4890.0000.0000.0510.0000.0000.000
호0.5210.4891.0000.3720.3490.5690.2550.6970.479
임대면적0.6710.0000.3721.0000.9480.9630.0000.8840.873
전용면적0.6320.0000.3490.9481.0000.9940.0000.8980.983
공용면적0.7190.0510.5690.9630.9941.0000.0000.9120.979
임대구분0.2010.0000.2550.0000.0000.0001.0000.0000.000
보증금0.7740.0000.6970.8840.8980.9120.0001.0000.942
월임대료0.7400.0000.4790.8730.9830.9790.0000.9421.000
2023-12-13T00:37:56.677932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
임대구분임대대상명
임대구분1.0000.238
임대대상명0.2381.000
2023-12-13T00:37:56.810670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번호임대면적전용면적공용면적보증금월임대료임대대상명임대구분
순번1.0000.6830.2170.1610.2210.008-0.0100.0000.000
호0.6831.0000.4200.3700.5300.0830.0150.4450.165
임대면적0.2170.4201.0000.9910.8740.4230.6560.5280.000
전용면적0.1610.3700.9911.0000.8490.4600.7010.4640.000
공용면적0.2210.5300.8740.8491.0000.2780.4260.5610.000
보증금0.0080.0830.4230.4600.2781.0000.7890.6070.000
월임대료-0.0100.0150.6560.7010.4260.7891.0000.5900.000
임대대상명0.0000.4450.5280.4640.5610.6070.5901.0000.238
임대구분0.0000.1650.0000.0000.0000.0000.0000.2381.000

Missing values

2023-12-13T00:37:52.977924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:37:53.231381image/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

임대대상명순번동호임대면적전용면적공용면적임대구분보증금월임대료
0대사동 198-190(소규모임대주택)1120134.125.988.12수급자124100024860
1대사동 198-190(소규모임대주택)2120134.125.988.12일반124100024860
2대사동 198-190(소규모임대주택)3120234.125.988.12수급자62092024860
3대사동 198-190(소규모임대주택)4120334.125.988.12수급자62092024860
4대사동 198-190(소규모임대주택)5120434.125.988.12수급자124100024860
5대사동 198-190(소규모임대주택)6120434.125.988.12일반124100024860
6대사동 198-190(소규모임대주택)7130134.6625.988.68수급자62092024860
7대사동 198-190(소규모임대주택)8130234.6625.988.68수급자124100024860
8대사동 198-190(소규모임대주택)9130334.6625.988.68수급자124100024860
9대사동 198-190(소규모임대주택)10130434.6625.988.68수급자124100024860
임대대상명순번동호임대면적전용면적공용면적임대구분보증금월임대료
57읍내동 214-2(소규모임대주택)6120139.5230.758.77수급자146985029420
58읍내동 214-2(소규모임대주택)7120234.8927.157.74수급자129700025980
59읍내동 214-2(소규모임대주택)8120334.8927.157.74수급자64888025980
60읍내동 214-2(소규모임대주택)9120434.8927.157.74수급자64888025980
61읍내동 214-2(소규모임대주택)10120539.4430.698.75수급자73349029370
62읍내동 214-2(소규모임대주택)11130139.5230.758.77수급자73492029420
63읍내동 214-2(소규모임대주택)12130234.8927.157.74수급자129700025980
64읍내동 214-2(소규모임대주택)13130334.8927.157.74수급자129700025980
65읍내동 214-2(소규모임대주택)14130434.8927.157.74수급자129700025900
66읍내동 214-2(소규모임대주택)15130539.4430.698.75수급자73349029370