Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells390
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory771.5 KiB
Average record size in memory79.0 B

Variable types

Numeric6
Text1
Categorical1

Dataset

Description경상남도 창원시 관내 등록된 건축물대장(일반)에 관한 데이터로 건축물 주소, 건축 면적, 주차 면수의 정보를 제공합니다.
Author경상남도 창원시
URLhttps://www.data.go.kr/data/15064338/fileData.do

Alerts

건축면적 is highly overall correlated with 옥외 자주식 주차대수 and 1 other fieldsHigh correlation
옥외 자주식 주차대수 is highly overall correlated with 건축면적 and 1 other fieldsHigh correlation
총 주차대수 is highly overall correlated with 건축면적 and 1 other fieldsHigh correlation
옥외 기계식 주차대수 is highly imbalanced (99.8%)Imbalance
건축면적 has 390 (3.9%) missing valuesMissing
건축면적 is highly skewed (γ1 = 98.02761757)Skewed
옥내 기계식 주차대수 is highly skewed (γ1 = 74.67656014)Skewed
옥내 자주식 주차대수 is highly skewed (γ1 = 93.84806512)Skewed
옥외 자주식 주차대수 is highly skewed (γ1 = 33.52565142)Skewed
총 주차대수 is highly skewed (γ1 = 52.43745308)Skewed
순번 has unique valuesUnique
대지위치주소 has unique valuesUnique
건축면적 has 2462 (24.6%) zerosZeros
옥내 기계식 주차대수 has 9992 (99.9%) zerosZeros
옥내 자주식 주차대수 has 9209 (92.1%) zerosZeros
옥외 자주식 주차대수 has 7659 (76.6%) zerosZeros
총 주차대수 has 7122 (71.2%) zerosZeros

Reproduction

Analysis started2024-04-21 01:30:02.711895
Analysis finished2024-04-21 01:30:09.396350
Duration6.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49050.554
Minimum3
Maximum99750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:30:09.488592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4857.85
Q123631.25
median48661.5
Q374193.25
95-th percentile94549.75
Maximum99750
Range99747
Interquartile range (IQR)50562

Descriptive statistics

Standard deviation28881.786
Coefficient of variation (CV)0.5888167
Kurtosis-1.2115166
Mean49050.554
Median Absolute Deviation (MAD)25285
Skewness0.034040254
Sum4.9050554 × 108
Variance8.3415754 × 108
MonotonicityNot monotonic
2024-04-21T10:30:09.805249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5580 1
 
< 0.1%
45743 1
 
< 0.1%
67928 1
 
< 0.1%
15314 1
 
< 0.1%
56520 1
 
< 0.1%
86921 1
 
< 0.1%
50973 1
 
< 0.1%
3253 1
 
< 0.1%
58517 1
 
< 0.1%
84797 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3 1
< 0.1%
20 1
< 0.1%
21 1
< 0.1%
38 1
< 0.1%
47 1
< 0.1%
52 1
< 0.1%
55 1
< 0.1%
56 1
< 0.1%
70 1
< 0.1%
78 1
< 0.1%
ValueCountFrequency (%)
99750 1
< 0.1%
99746 1
< 0.1%
99732 1
< 0.1%
99722 1
< 0.1%
99714 1
< 0.1%
99710 1
< 0.1%
99709 1
< 0.1%
99690 1
< 0.1%
99680 1
< 0.1%
99672 1
< 0.1%

대지위치주소
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:30:10.095162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length33
Mean length27.0656
Min length20

Characters and Unicode

Total characters270656
Distinct characters158
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st row경상남도 창원시 의창구 북면 하천리 0356
2nd row경상남도 창원시 의창구 명서동 0112-0014
3rd row경상남도 창원시 의창구 서상동 0685-0006
4th row경상남도 창원시 마산합포구 진동면 고현리 0617-0001
5th row경상남도 창원시 마산회원구 석전동 0253-0089
ValueCountFrequency (%)
경상남도 10000
19.0%
창원시 10000
19.0%
마산합포구 2769
 
5.3%
의창구 2703
 
5.1%
진해구 1800
 
3.4%
마산회원구 1745
 
3.3%
성산구 983
 
1.9%
북면 458
 
0.9%
동읍 432
 
0.8%
대산면 392
 
0.7%
Other values (7636) 21282
40.5%
2024-04-21T10:30:10.535992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42564
15.7%
0 36992
 
13.7%
창 12791
 
4.7%
원 12280
 
4.5%
구 10503
 
3.9%
남 10400
 
3.8%
상 10319
 
3.8%
경 10307
 
3.8%
도 10117
 
3.7%
시 10027
 
3.7%
Other values (148) 104356
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145408
53.7%
Decimal Number 74186
27.4%
Space Separator 42564
 
15.7%
Dash Punctuation 8497
 
3.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 12791
 
8.8%
원 12280
 
8.4%
구 10503
 
7.2%
남 10400
 
7.2%
상 10319
 
7.1%
경 10307
 
7.1%
도 10117
 
7.0%
시 10027
 
6.9%
동 8694
 
6.0%
산 7052
 
4.8%
Other values (135) 42918
29.5%
Decimal Number
ValueCountFrequency (%)
0 36992
49.9%
1 8637
 
11.6%
2 5252
 
7.1%
3 4391
 
5.9%
4 3864
 
5.2%
5 3524
 
4.8%
6 3512
 
4.7%
7 2872
 
3.9%
8 2662
 
3.6%
9 2480
 
3.3%
Space Separator
ValueCountFrequency (%)
42564
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8497
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 145408
53.7%
Common 125247
46.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 12791
 
8.8%
원 12280
 
8.4%
구 10503
 
7.2%
남 10400
 
7.2%
상 10319
 
7.1%
경 10307
 
7.1%
도 10117
 
7.0%
시 10027
 
6.9%
동 8694
 
6.0%
산 7052
 
4.8%
Other values (135) 42918
29.5%
Common
ValueCountFrequency (%)
42564
34.0%
0 36992
29.5%
1 8637
 
6.9%
- 8497
 
6.8%
2 5252
 
4.2%
3 4391
 
3.5%
4 3864
 
3.1%
5 3524
 
2.8%
6 3512
 
2.8%
7 2872
 
2.3%
Other values (2) 5142
 
4.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 145408
53.7%
ASCII 125248
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42564
34.0%
0 36992
29.5%
1 8637
 
6.9%
- 8497
 
6.8%
2 5252
 
4.2%
3 4391
 
3.5%
4 3864
 
3.1%
5 3524
 
2.8%
6 3512
 
2.8%
7 2872
 
2.3%
Other values (3) 5143
 
4.1%
Hangul
ValueCountFrequency (%)
창 12791
 
8.8%
원 12280
 
8.4%
구 10503
 
7.2%
남 10400
 
7.2%
상 10319
 
7.1%
경 10307
 
7.1%
도 10117
 
7.0%
시 10027
 
6.9%
동 8694
 
6.0%
산 7052
 
4.8%
Other values (135) 42918
29.5%

건축면적
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct5675
Distinct (%)59.1%
Missing390
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean11939.576
Minimum0
Maximum1.1184569 × 108
Zeros2462
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:30:10.707981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median88.66
Q3129.3675
95-th percentile454.01
Maximum1.1184569 × 108
Range1.1184569 × 108
Interquartile range (IQR)129.3675

Descriptive statistics

Standard deviation1140934.7
Coefficient of variation (CV)95.559063
Kurtosis9609.6084
Mean11939.576
Median Absolute Deviation (MAD)49.695
Skewness98.027618
Sum1.1473933 × 108
Variance1.301732 × 1012
MonotonicityNot monotonic
2024-04-21T10:30:10.880816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2462
 
24.6%
198.0 19
 
0.2%
99.0 13
 
0.1%
39.67 11
 
0.1%
33.06 9
 
0.1%
49.5 9
 
0.1%
59.5 9
 
0.1%
96.0 8
 
0.1%
48.0 8
 
0.1%
396.0 6
 
0.1%
Other values (5665) 7056
70.6%
(Missing) 390
 
3.9%
ValueCountFrequency (%)
0.0 2462
24.6%
9.3 1
 
< 0.1%
9.91 1
 
< 0.1%
11.25 1
 
< 0.1%
11.6 1
 
< 0.1%
12.0 1
 
< 0.1%
13.49 1
 
< 0.1%
13.55 1
 
< 0.1%
14.88 4
 
< 0.1%
14.96 1
 
< 0.1%
ValueCountFrequency (%)
111845686.47 1
< 0.1%
404804.85 1
< 0.1%
180423.45 1
< 0.1%
140951.11 1
< 0.1%
109823.83 1
< 0.1%
96126.79 1
< 0.1%
61981.46 1
< 0.1%
58783.88 1
< 0.1%
40885.63 1
< 0.1%
32325.87 1
< 0.1%

옥내 기계식 주차대수
Real number (ℝ)

SKEWED  ZEROS 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0216
Minimum0
Maximum100
Zeros9992
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:30:11.012775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1268808
Coefficient of variation (CV)52.170409
Kurtosis6311.1448
Mean0.0216
Median Absolute Deviation (MAD)0
Skewness74.67656
Sum216
Variance1.2698604
MonotonicityNot monotonic
2024-04-21T10:30:11.114790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 9992
99.9%
26 2
 
< 0.1%
18 1
 
< 0.1%
100 1
 
< 0.1%
30 1
 
< 0.1%
5 1
 
< 0.1%
1 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
0 9992
99.9%
1 1
 
< 0.1%
5 1
 
< 0.1%
10 1
 
< 0.1%
18 1
 
< 0.1%
26 2
 
< 0.1%
30 1
 
< 0.1%
100 1
 
< 0.1%
ValueCountFrequency (%)
100 1
 
< 0.1%
30 1
 
< 0.1%
26 2
 
< 0.1%
18 1
 
< 0.1%
10 1
 
< 0.1%
5 1
 
< 0.1%
1 1
 
< 0.1%
0 9992
99.9%

옥외 기계식 주차대수
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9998 
38
 
1
3
 
1

Length

Max length2
Median length1
Mean length1.0001
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9998
> 99.9%
38 1
 
< 0.1%
3 1
 
< 0.1%

Length

2024-04-21T10:30:11.223038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:30:11.312970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9998
> 99.9%
38 1
 
< 0.1%
3 1
 
< 0.1%

옥내 자주식 주차대수
Real number (ℝ)

SKEWED  ZEROS 

Distinct52
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5033
Minimum0
Maximum7140
Zeros9209
Zeros (%)92.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:30:11.425869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum7140
Range7140
Interquartile range (IQR)0

Descriptive statistics

Standard deviation73.017088
Coefficient of variation (CV)48.571202
Kurtosis9142.5818
Mean1.5033
Median Absolute Deviation (MAD)0
Skewness93.848065
Sum15033
Variance5331.4951
MonotonicityNot monotonic
2024-04-21T10:30:11.579659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9209
92.1%
2 257
 
2.6%
1 195
 
1.9%
4 80
 
0.8%
3 74
 
0.7%
5 33
 
0.3%
6 30
 
0.3%
8 30
 
0.3%
7 11
 
0.1%
12 8
 
0.1%
Other values (42) 73
 
0.7%
ValueCountFrequency (%)
0 9209
92.1%
1 195
 
1.9%
2 257
 
2.6%
3 74
 
0.7%
4 80
 
0.8%
5 33
 
0.3%
6 30
 
0.3%
7 11
 
0.1%
8 30
 
0.3%
9 7
 
0.1%
ValueCountFrequency (%)
7140 1
< 0.1%
906 1
< 0.1%
675 1
< 0.1%
538 1
< 0.1%
473 1
< 0.1%
456 1
< 0.1%
295 1
< 0.1%
266 1
< 0.1%
222 1
< 0.1%
167 1
< 0.1%

옥외 자주식 주차대수
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct83
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3476
Minimum0
Maximum4294
Zeros7659
Zeros (%)76.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:30:11.753566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum4294
Range4294
Interquartile range (IQR)0

Descriptive statistics

Standard deviation92.419547
Coefficient of variation (CV)21.257601
Kurtosis1209.9259
Mean4.3476
Median Absolute Deviation (MAD)0
Skewness33.525651
Sum43476
Variance8541.3727
MonotonicityNot monotonic
2024-04-21T10:30:11.910738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7659
76.6%
1 672
 
6.7%
2 551
 
5.5%
4 358
 
3.6%
3 268
 
2.7%
5 107
 
1.1%
6 72
 
0.7%
8 71
 
0.7%
7 44
 
0.4%
10 29
 
0.3%
Other values (73) 169
 
1.7%
ValueCountFrequency (%)
0 7659
76.6%
1 672
 
6.7%
2 551
 
5.5%
3 268
 
2.7%
4 358
 
3.6%
5 107
 
1.1%
6 72
 
0.7%
7 44
 
0.4%
8 71
 
0.7%
9 10
 
0.1%
ValueCountFrequency (%)
4294 1
< 0.1%
3525 1
< 0.1%
3252 1
< 0.1%
2904 1
< 0.1%
2845 1
< 0.1%
2760 1
< 0.1%
2419 1
< 0.1%
2307 1
< 0.1%
2187 1
< 0.1%
1053 1
< 0.1%

총 주차대수
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct100
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8766
Minimum0
Maximum10665
Zeros7122
Zeros (%)71.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:30:12.041537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum10665
Range10665
Interquartile range (IQR)1

Descriptive statistics

Standard deviation142.04841
Coefficient of variation (CV)24.17187
Kurtosis3432.5928
Mean5.8766
Median Absolute Deviation (MAD)0
Skewness52.437453
Sum58766
Variance20177.751
MonotonicityNot monotonic
2024-04-21T10:30:12.179904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7122
71.2%
2 752
 
7.5%
1 728
 
7.3%
4 368
 
3.7%
3 304
 
3.0%
5 140
 
1.4%
8 132
 
1.3%
6 100
 
1.0%
7 85
 
0.9%
10 35
 
0.4%
Other values (90) 234
 
2.3%
ValueCountFrequency (%)
0 7122
71.2%
1 728
 
7.3%
2 752
 
7.5%
3 304
 
3.0%
4 368
 
3.7%
5 140
 
1.4%
6 100
 
1.0%
7 85
 
0.9%
8 132
 
1.3%
9 16
 
0.2%
ValueCountFrequency (%)
10665 1
< 0.1%
4750 1
< 0.1%
3751 1
< 0.1%
3252 1
< 0.1%
2904 1
< 0.1%
2760 1
< 0.1%
2660 1
< 0.1%
2586 1
< 0.1%
2307 1
< 0.1%
1313 1
< 0.1%

Interactions

2024-04-21T10:30:08.659674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:05.479915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:06.134856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:06.965697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:07.567482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:08.136549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:08.745590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:05.627612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:06.240857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:07.087303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:07.672636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:08.243980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:08.853459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:05.737216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:06.339535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:07.171427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:07.774333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:08.345382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:08.940122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:05.831964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:06.483859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:07.247765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:07.868100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:08.424510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:09.033674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:05.936013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:06.717882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:07.339628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:07.960129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:08.512245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:09.108127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:06.038173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:06.852925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:07.450325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:08.042434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:08.583571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:30:12.279088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번건축면적옥내 기계식 주차대수옥외 기계식 주차대수옥내 자주식 주차대수옥외 자주식 주차대수총 주차대수
순번1.0000.0220.0000.0060.0120.0380.007
건축면적0.0221.0000.0000.0000.0001.0000.891
옥내 기계식 주차대수0.0000.0001.0000.0000.0000.0000.000
옥외 기계식 주차대수0.0060.0000.0001.0000.0000.0000.000
옥내 자주식 주차대수0.0120.0000.0000.0001.0000.8590.988
옥외 자주식 주차대수0.0381.0000.0000.0000.8591.0000.960
총 주차대수0.0070.8910.0000.0000.9880.9601.000
2024-04-21T10:30:12.405340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번건축면적옥내 기계식 주차대수옥내 자주식 주차대수옥외 자주식 주차대수총 주차대수옥외 기계식 주차대수
순번1.000-0.208-0.006-0.060-0.051-0.0870.003
건축면적-0.2081.0000.0350.2700.5200.5940.000
옥내 기계식 주차대수-0.0060.0351.0000.0470.0330.0560.000
옥내 자주식 주차대수-0.0600.2700.0471.0000.0650.4760.000
옥외 자주식 주차대수-0.0510.5200.0330.0651.0000.8750.000
총 주차대수-0.0870.5940.0560.4760.8751.0000.000
옥외 기계식 주차대수0.0030.0000.0000.0000.0000.0001.000

Missing values

2024-04-21T10:30:09.216115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:30:09.332364image/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

순번대지위치주소건축면적옥내 기계식 주차대수옥외 기계식 주차대수옥내 자주식 주차대수옥외 자주식 주차대수총 주차대수
55795580경상남도 창원시 의창구 북면 하천리 0356141.1800000
1596615967경상남도 창원시 의창구 명서동 0112-0014127.1300101
1568815689경상남도 창원시 의창구 서상동 0685-000668.4800011
6118161182경상남도 창원시 마산합포구 진동면 고현리 0617-00010.000000
8084680847경상남도 창원시 마산회원구 석전동 0253-00890.000000
6056760568경상남도 창원시 마산합포구 진전면 여양리 06490.000000
5083750838경상남도 창원시 마산합포구 자산동 0193-00160.000000
6841968420경상남도 창원시 마산회원구 두척동 00750.000000
5430854309경상남도 창원시 마산합포구 구산면 구복리 0274-000149.500000
5125051251경상남도 창원시 마산합포구 진전면 여양리 1014-0001105.600000
순번대지위치주소건축면적옥내 기계식 주차대수옥외 기계식 주차대수옥내 자주식 주차대수옥외 자주식 주차대수총 주차대수
3840038401경상남도 창원시 마산합포구 부림동 0083-02440.000000
2952229523경상남도 창원시 성산구 신월동 0075-0013115.0300000
4054140542경상남도 창원시 마산합포구 홍문동 0006-00060.000000
8076180762경상남도 창원시 마산회원구 구암동 0267-00040.000000
5724457245경상남도 창원시 마산합포구 남성동 0209-00010.000000
6874968750경상남도 창원시 마산회원구 내서읍 중리 1041-0017103.6200000
42144215경상남도 창원시 의창구 대산면 북부리 032052.5300000
3723337234경상남도 창원시 마산합포구 진북면 추곡리 0512-0001137.0600000
8639686397경상남도 창원시 진해구 두동 1162-000568.6500011
5270252703경상남도 창원시 마산합포구 진북면 지산리 0078-003082.8500000