Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory859.4 KiB
Average record size in memory88.0 B

Variable types

Numeric8
Categorical1

Dataset

Description전북특별자치도 진안군 도시계획정보시스템 건축물 주제도 구조에 대한 데이터로 공간정보관리번호, X좌표 및 Y좌표 정보,건물군관리번, 필지고유번호(PNU), 구조, 구조명 정보를 제공합니다.
Author전북특별자치도 진안군
URLhttps://www.data.go.kr/data/15119142/fileData.do

Alerts

공간정보관리번호 is highly overall correlated with 필지고유번호(PNU)High correlation
X좌표최소값 is highly overall correlated with X좌표최대값High correlation
Y좌표최소값 is highly overall correlated with Y좌표최대값High correlation
X좌표최대값 is highly overall correlated with X좌표최소값High correlation
Y좌표최대값 is highly overall correlated with Y좌표최소값High correlation
필지고유번호(PNU) is highly overall correlated with 공간정보관리번호High correlation
구조 is highly overall correlated with 구조명High correlation
구조명 is highly overall correlated with 구조High correlation
공간정보관리번호 has unique valuesUnique
건물군관리번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 17:20:33.583629
Analysis finished2024-03-14 17:20:52.449345
Duration18.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간정보관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6087.4828
Minimum2
Maximum12147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T02:20:52.621457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile610.95
Q13066.75
median6070.5
Q39118.75
95-th percentile11546.05
Maximum12147
Range12145
Interquartile range (IQR)6052

Descriptive statistics

Standard deviation3506.6982
Coefficient of variation (CV)0.57605061
Kurtosis-1.2002537
Mean6087.4828
Median Absolute Deviation (MAD)3028
Skewness0.00085481852
Sum60874828
Variance12296932
MonotonicityNot monotonic
2024-03-15T02:20:53.048496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2578 1
 
< 0.1%
10533 1
 
< 0.1%
291 1
 
< 0.1%
11820 1
 
< 0.1%
11932 1
 
< 0.1%
70 1
 
< 0.1%
8938 1
 
< 0.1%
5140 1
 
< 0.1%
1717 1
 
< 0.1%
11804 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
ValueCountFrequency (%)
12147 1
< 0.1%
12146 1
< 0.1%
12145 1
< 0.1%
12144 1
< 0.1%
12143 1
< 0.1%
12142 1
< 0.1%
12141 1
< 0.1%
12140 1
< 0.1%
12139 1
< 0.1%
12138 1
< 0.1%

X좌표최소값
Real number (ℝ)

HIGH CORRELATION 

Distinct9927
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23849981
Minimum22440102
Maximum25573069
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T02:20:53.474043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22440102
5-th percentile22883350
Q123342220
median23817173
Q324211810
95-th percentile25132285
Maximum25573069
Range3132967
Interquartile range (IQR)869591

Descriptive statistics

Standard deviation673330.52
Coefficient of variation (CV)0.02823191
Kurtosis-0.41293646
Mean23849981
Median Absolute Deviation (MAD)462848.5
Skewness0.52356742
Sum2.3849981 × 1011
Variance4.5337399 × 1011
MonotonicityNot monotonic
2024-03-15T02:20:53.918415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22936318 2
 
< 0.1%
23979642 2
 
< 0.1%
23064346 2
 
< 0.1%
23483022 2
 
< 0.1%
24153410 2
 
< 0.1%
23833504 2
 
< 0.1%
23841934 2
 
< 0.1%
23848549 2
 
< 0.1%
23962676 2
 
< 0.1%
23827168 2
 
< 0.1%
Other values (9917) 9980
99.8%
ValueCountFrequency (%)
22440102 1
< 0.1%
22444773 1
< 0.1%
22457198 1
< 0.1%
22458321 1
< 0.1%
22483910 1
< 0.1%
22493316 1
< 0.1%
22540610 1
< 0.1%
22541794 1
< 0.1%
22542768 1
< 0.1%
22542781 1
< 0.1%
ValueCountFrequency (%)
25573069 1
< 0.1%
25571786 1
< 0.1%
25568337 1
< 0.1%
25567808 1
< 0.1%
25565980 1
< 0.1%
25563581 1
< 0.1%
25559470 1
< 0.1%
25555237 1
< 0.1%
25555073 1
< 0.1%
25551951 1
< 0.1%

Y좌표최소값
Real number (ℝ)

HIGH CORRELATION 

Distinct9962
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25678290
Minimum23670040
Maximum27979338
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T02:20:54.276035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23670040
5-th percentile24246969
Q124959840
median25502943
Q326245054
95-th percentile27479646
Maximum27979338
Range4309298
Interquartile range (IQR)1285214.2

Descriptive statistics

Standard deviation952464.9
Coefficient of variation (CV)0.037092225
Kurtosis-0.50883334
Mean25678290
Median Absolute Deviation (MAD)641335.5
Skewness0.39844241
Sum2.567829 × 1011
Variance9.0718938 × 1011
MonotonicityNot monotonic
2024-03-15T02:20:54.750756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25250862 3
 
< 0.1%
25300796 2
 
< 0.1%
27198605 2
 
< 0.1%
24728073 2
 
< 0.1%
25095354 2
 
< 0.1%
25697925 2
 
< 0.1%
24605391 2
 
< 0.1%
26503867 2
 
< 0.1%
24564812 2
 
< 0.1%
25256751 2
 
< 0.1%
Other values (9952) 9979
99.8%
ValueCountFrequency (%)
23670040 1
< 0.1%
23694144 1
< 0.1%
23698721 1
< 0.1%
23699402 1
< 0.1%
23717424 1
< 0.1%
23723079 1
< 0.1%
23766729 1
< 0.1%
23774842 1
< 0.1%
23775602 1
< 0.1%
23785596 1
< 0.1%
ValueCountFrequency (%)
27979338 1
< 0.1%
27931609 1
< 0.1%
27925980 1
< 0.1%
27915110 1
< 0.1%
27914168 1
< 0.1%
27913281 1
< 0.1%
27912130 1
< 0.1%
27911736 1
< 0.1%
27911321 1
< 0.1%
27909309 1
< 0.1%

X좌표최대값
Real number (ℝ)

HIGH CORRELATION 

Distinct9943
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23853646
Minimum22443656
Maximum25575603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T02:20:55.155715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22443656
5-th percentile22885993
Q123345325
median23820538
Q324215772
95-th percentile25135526
Maximum25575603
Range3131947
Interquartile range (IQR)870447

Descriptive statistics

Standard deviation673165.63
Coefficient of variation (CV)0.02822066
Kurtosis-0.41327439
Mean23853646
Median Absolute Deviation (MAD)462551
Skewness0.52338263
Sum2.3853646 × 1011
Variance4.5315197 × 1011
MonotonicityNot monotonic
2024-03-15T02:20:55.598643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23638194 2
 
< 0.1%
25133187 2
 
< 0.1%
24495742 2
 
< 0.1%
23342101 2
 
< 0.1%
23153894 2
 
< 0.1%
23087799 2
 
< 0.1%
23808202 2
 
< 0.1%
23953840 2
 
< 0.1%
23824144 2
 
< 0.1%
23496006 2
 
< 0.1%
Other values (9933) 9980
99.8%
ValueCountFrequency (%)
22443656 1
< 0.1%
22446563 1
< 0.1%
22461115 1
< 0.1%
22466092 1
< 0.1%
22486390 1
< 0.1%
22494888 1
< 0.1%
22541514 1
< 0.1%
22544751 1
< 0.1%
22545004 1
< 0.1%
22546089 1
< 0.1%
ValueCountFrequency (%)
25575603 1
< 0.1%
25574568 1
< 0.1%
25571693 1
< 0.1%
25571271 1
< 0.1%
25568170 1
< 0.1%
25566036 1
< 0.1%
25562750 1
< 0.1%
25558714 1
< 0.1%
25557186 1
< 0.1%
25556220 1
< 0.1%

Y좌표최대값
Real number (ℝ)

HIGH CORRELATION 

Distinct9945
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25682034
Minimum23696544
Maximum28033127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T02:20:56.090852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23696544
5-th percentile24249704
Q124963865
median25505948
Q326248826
95-th percentile27483581
Maximum28033127
Range4336583
Interquartile range (IQR)1284961

Descriptive statistics

Standard deviation952521.25
Coefficient of variation (CV)0.037089012
Kurtosis-0.50856511
Mean25682034
Median Absolute Deviation (MAD)641121
Skewness0.39989038
Sum2.5682034 × 1011
Variance9.0729672 × 1011
MonotonicityNot monotonic
2024-03-15T02:20:56.528861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25261839 3
 
< 0.1%
25497064 2
 
< 0.1%
25496439 2
 
< 0.1%
25270076 2
 
< 0.1%
25944503 2
 
< 0.1%
24874834 2
 
< 0.1%
25944656 2
 
< 0.1%
26054453 2
 
< 0.1%
27202876 2
 
< 0.1%
25480286 2
 
< 0.1%
Other values (9935) 9979
99.8%
ValueCountFrequency (%)
23696544 1
< 0.1%
23701398 1
< 0.1%
23702657 1
< 0.1%
23727531 1
< 0.1%
23764408 1
< 0.1%
23770182 1
< 0.1%
23777407 1
< 0.1%
23788274 1
< 0.1%
23794570 1
< 0.1%
23822656 1
< 0.1%
ValueCountFrequency (%)
28033127 1
< 0.1%
28025304 1
< 0.1%
27980978 1
< 0.1%
27933757 1
< 0.1%
27928969 1
< 0.1%
27916980 1
< 0.1%
27916390 1
< 0.1%
27916249 1
< 0.1%
27915522 1
< 0.1%
27914378 1
< 0.1%

건물군관리번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15506750
Minimum1383
Maximum1.001869 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T02:20:57.117752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1383
5-th percentile4070.55
Q18097.75
median11973.5
Q315910.25
95-th percentile1.0018179 × 108
Maximum1.001869 × 108
Range1.0018552 × 108
Interquartile range (IQR)7812.5

Descriptive statistics

Standard deviation36224579
Coefficient of variation (CV)2.3360522
Kurtosis1.6485601
Mean15506750
Median Absolute Deviation (MAD)3907
Skewness1.9100341
Sum1.550675 × 1011
Variance1.3122201 × 1015
MonotonicityNot monotonic
2024-03-15T02:20:57.481407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5908 1
 
< 0.1%
13057 1
 
< 0.1%
15802 1
 
< 0.1%
100172749 1
 
< 0.1%
6318 1
 
< 0.1%
10134 1
 
< 0.1%
16549 1
 
< 0.1%
9213 1
 
< 0.1%
10748 1
 
< 0.1%
4183 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1383 1
< 0.1%
1385 1
< 0.1%
1392 1
< 0.1%
1393 1
< 0.1%
1396 1
< 0.1%
1398 1
< 0.1%
1404 1
< 0.1%
1414 1
< 0.1%
1424 1
< 0.1%
1427 1
< 0.1%
ValueCountFrequency (%)
100186900 1
< 0.1%
100186880 1
< 0.1%
100186861 1
< 0.1%
100186860 1
< 0.1%
100186840 1
< 0.1%
100186819 1
< 0.1%
100186809 1
< 0.1%
100186805 1
< 0.1%
100186804 1
< 0.1%
100186803 1
< 0.1%

필지고유번호(PNU)
Real number (ℝ)

HIGH CORRELATION 

Distinct7423
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5720332 × 1018
Minimum4.572025 × 1018
Maximum4.57204 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T02:20:57.873302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.572025 × 1018
5-th percentile4.572025 × 1018
Q14.572025 × 1018
median4.572035 × 1018
Q34.572038 × 1018
95-th percentile4.57204 × 1018
Maximum4.57204 × 1018
Range1.50051 × 1013
Interquartile range (IQR)1.2987992 × 1013

Descriptive statistics

Standard deviation5.309531 × 1012
Coefficient of variation (CV)1.1613063 × 10-6
Kurtosis-1.1512113
Mean4.5720332 × 1018
Median Absolute Deviation (MAD)3.0019905 × 1012
Skewness-0.54223511
Sum-9.1468229 × 1018
Variance2.8191119 × 1025
MonotonicityNot monotonic
2024-03-15T02:20:58.363343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4572025021104060000 27
 
0.3%
4572025023100320000 26
 
0.3%
4572025021104030000 24
 
0.2%
4572025023102840000 21
 
0.2%
4572025021104790000 19
 
0.2%
4572025021103660000 17
 
0.2%
4572031025110530000 17
 
0.2%
4572038029105030000 16
 
0.2%
4572025021104020000 15
 
0.1%
4572025021100790000 12
 
0.1%
Other values (7413) 9806
98.1%
ValueCountFrequency (%)
4572025021100280000 1
 
< 0.1%
4572025021100330000 1
 
< 0.1%
4572025021100450000 1
 
< 0.1%
4572025021100540000 1
 
< 0.1%
4572025021100560000 4
< 0.1%
4572025021100570000 1
 
< 0.1%
4572025021100610000 1
 
< 0.1%
4572025021100620000 1
 
< 0.1%
4572025021100630000 1
 
< 0.1%
4572025021100640000 1
 
< 0.1%
ValueCountFrequency (%)
4572040026200720000 1
< 0.1%
4572040026200520000 2
< 0.1%
4572040026200400000 1
< 0.1%
4572040026200280000 1
< 0.1%
4572040026110540000 1
< 0.1%
4572040026109930000 1
< 0.1%
4572040026109800000 1
< 0.1%
4572040026109770000 1
< 0.1%
4572040026109500000 1
< 0.1%
4572040026109360000 1
< 0.1%

구조
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.8345
Minimum10
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T02:20:58.650289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile11
Q112
median32
Q351
95-th percentile51
Maximum99
Range89
Interquartile range (IQR)39

Descriptive statistics

Standard deviation17.212935
Coefficient of variation (CV)0.50873916
Kurtosis-1.3428045
Mean33.8345
Median Absolute Deviation (MAD)19
Skewness-0.12414641
Sum338345
Variance296.28514
MonotonicityNot monotonic
2024-03-15T02:20:58.848666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
51 4445
44.5%
11 1973
19.7%
32 1272
 
12.7%
12 705
 
7.0%
21 572
 
5.7%
19 380
 
3.8%
31 275
 
2.8%
33 274
 
2.7%
10 34
 
0.3%
99 18
 
0.2%
Other values (8) 52
 
0.5%
ValueCountFrequency (%)
10 34
 
0.3%
11 1973
19.7%
12 705
 
7.0%
13 9
 
0.1%
19 380
 
3.8%
21 572
 
5.7%
22 2
 
< 0.1%
29 2
 
< 0.1%
31 275
 
2.8%
32 1272
12.7%
ValueCountFrequency (%)
99 18
 
0.2%
52 5
 
0.1%
51 4445
44.5%
49 2
 
< 0.1%
42 9
 
0.1%
41 5
 
0.1%
39 18
 
0.2%
33 274
 
2.7%
32 1272
 
12.7%
31 275
 
2.8%

구조명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
목조
4723 
연와조
1987 
조립식
1274 
블록구조
728 
철근콘크리트
572 
Other values (4)
716 

Length

Max length11
Median length6
Mean length2.9279
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row연와조
2nd row블록구조
3rd row목조
4th row목조
5th row목조

Common Values

ValueCountFrequency (%)
목조 4723
47.2%
연와조 1987
19.9%
조립식 1274
 
12.7%
블록구조 728
 
7.3%
철근콘크리트 572
 
5.7%
조적구조 380
 
3.8%
일반철골구조 284
 
2.8%
조적조(적별돌)슬라브 34
 
0.3%
경량철골구조 18
 
0.2%

Length

2024-03-15T02:20:59.179538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:20:59.531800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목조 4723
47.2%
연와조 1987
19.9%
조립식 1274
 
12.7%
블록구조 728
 
7.3%
철근콘크리트 572
 
5.7%
조적구조 380
 
3.8%
일반철골구조 284
 
2.8%
조적조(적별돌)슬라브 34
 
0.3%
경량철골구조 18
 
0.2%

Interactions

2024-03-15T02:20:50.209363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:35.242720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:37.463027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:39.663009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:41.796093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:44.061558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:46.197042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:48.328719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:50.475053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:35.678886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:37.742496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:39.932476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:42.076174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:44.398275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:46.682565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:48.611764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:50.650220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:35.942931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:38.016977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:40.202374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:42.356399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:44.719667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:46.962952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:48.898973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:50.832440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:36.109015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:38.293105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:40.464337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:42.625738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:44.983853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:47.229333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:49.171121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:51.104822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:36.381037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:38.574142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:40.740910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:42.908975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:45.271185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:47.509130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:49.405011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:51.312583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:36.647027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:38.842201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:40.996407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:43.175655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:45.429541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:47.752826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:49.578906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:51.471425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:36.918446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:39.113163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:41.260640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:43.447934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:45.607906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:47.938175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:49.782370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:51.659704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:37.205416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:39.402735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:41.538261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:43.798616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:45.941129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:48.122448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:20:50.044390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T02:20:59.804862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간정보관리번호X좌표최소값Y좌표최소값X좌표최대값Y좌표최대값건물군관리번호필지고유번호(PNU)구조구조명
공간정보관리번호1.0000.8450.8500.8450.8490.3940.8510.2280.246
X좌표최소값0.8451.0000.7271.0000.7270.0660.7890.1340.154
Y좌표최소값0.8500.7271.0000.7270.9980.0720.8280.1610.196
X좌표최대값0.8451.0000.7271.0000.7270.0670.7880.1350.154
Y좌표최대값0.8490.7270.9980.7271.0000.0710.8280.1610.192
건물군관리번호0.3940.0660.0720.0670.0711.0000.0740.5700.392
필지고유번호(PNU)0.8510.7890.8280.7880.8280.0741.0000.1200.160
구조0.2280.1340.1610.1350.1610.5700.1201.0000.955
구조명0.2460.1540.1960.1540.1920.3920.1600.9551.000
2024-03-15T02:21:00.090459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간정보관리번호X좌표최소값Y좌표최소값X좌표최대값Y좌표최대값건물군관리번호필지고유번호(PNU)구조구조명
공간정보관리번호1.000-0.3110.154-0.3100.1550.0690.690-0.0320.114
X좌표최소값-0.3111.0000.4471.0000.4470.028-0.4720.0390.070
Y좌표최소값0.1540.4471.0000.4481.0000.0080.222-0.0380.090
X좌표최대값-0.3101.0000.4481.0000.4470.028-0.4710.0390.070
Y좌표최대값0.1550.4471.0000.4471.0000.0070.222-0.0380.088
건물군관리번호0.0690.0280.0080.0280.0071.0000.007-0.0990.392
필지고유번호(PNU)0.690-0.4720.222-0.4710.2220.0071.0000.0190.079
구조-0.0320.039-0.0380.039-0.038-0.0990.0191.0000.821
구조명0.1140.0700.0900.0700.0880.3920.0790.8211.000

Missing values

2024-03-15T02:20:51.870169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T02:20:52.313279image/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

공간정보관리번호X좌표최소값Y좌표최소값X좌표최대값Y좌표최대값건물군관리번호필지고유번호(PNU)구조구조명
27132578233104812523463623313010252375925908457202503211281000011연와조
951399032377035327416332237728232741910012484457204002110565000012블록구조
1041110481237953162772362723800494277273715925457204002510355000051목조
3448364925056029267432602506183026747269100182333457203202211024000051목조
484550922454236126646979245619182666371512505457203402620008000051목조
705669232272327225101739227260132510446710291457203602810168000011연와조
647666952319914124590183232010802459199212467457203602610062000021철근콘크리트
792478852328522624874322232876032487722211495457203702510174000012블록구조
90119376239399592671638823941964267185758610457203902211448000011연와조
932396982396292426015860239651952601792817114457203902511205000051목조
공간정보관리번호X좌표최소값Y좌표최소값X좌표최대값Y좌표최대값건물군관리번호필지고유번호(PNU)구조구조명
8355886723628633262591282362987226260533100174487457203802710279000032조립식
971510400238739712790717823881189279110394038457204002510527000051목조
38504081251391552600780525140645260100929414457203302110718000031일반철골구조
97621016223935865272096862393804027211457100184935457204002310149000032조립식
11102113132311961424629653231216572463195111013457203602610955000011연와조
580960892292217524661964229248602466459913391457203602110524000051목조
106671122325139835257999712514614725801156100182794457203302511327000021철근콘크리트
74387381233005022714980623303726271522128715457204002211731000011연와조
552859322383433324577039238364032457819413288457203502810771000051목조
44924341252395022618686825243244261914428654457203302311864000051목조