Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory781.2 KiB
Average record size in memory80.0 B

Variable types

Numeric8

Dataset

Description전북특별자치도 진안군 도시계획정보시스템 건축물 주제도 면적에 대한 데이터로 공간정보관리번호, X좌표 및 Y좌표 정보, 용적률, 건물군관리번호, 필지고유번호(PNU) 정보를 제공합니다.
Author전북특별자치도 진안군
URLhttps://www.data.go.kr/data/15119144/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
공간정보관리번호 has unique valuesUnique
건물군관리번호 has unique valuesUnique
용적률 has 2915 (29.1%) zerosZeros

Reproduction

Analysis started2024-03-14 10:27:42.572211
Analysis finished2024-03-14 10:28:00.082797
Duration17.51 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%
Mean6078.7728
Minimum3
Maximum12147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T19:28:00.285013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile608.95
Q13046.75
median6104.5
Q39112.25
95-th percentile11535.05
Maximum12147
Range12144
Interquartile range (IQR)6065.5

Descriptive statistics

Standard deviation3501.8577
Coefficient of variation (CV)0.57607972
Kurtosis-1.1968276
Mean6078.7728
Median Absolute Deviation (MAD)3033.5
Skewness-0.0062962433
Sum60787728
Variance12263008
MonotonicityNot monotonic
2024-03-14T19:28:00.737208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6999 1
 
< 0.1%
1177 1
 
< 0.1%
1621 1
 
< 0.1%
1624 1
 
< 0.1%
11264 1
 
< 0.1%
11831 1
 
< 0.1%
4478 1
 
< 0.1%
7956 1
 
< 0.1%
2647 1
 
< 0.1%
6054 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
12 1
< 0.1%
13 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%
12138 1
< 0.1%
12136 1
< 0.1%
12133 1
< 0.1%

X좌표최소값
Real number (ℝ)

HIGH CORRELATION 

Distinct9941
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23844356
Minimum22440102
Maximum25571786
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T19:28:01.145943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22440102
5-th percentile22886821
Q123340714
median23815526
Q324159896
95-th percentile25131875
Maximum25571786
Range3131684
Interquartile range (IQR)819182.75

Descriptive statistics

Standard deviation670019.37
Coefficient of variation (CV)0.028099705
Kurtosis-0.37336704
Mean23844356
Median Absolute Deviation (MAD)460083
Skewness0.54154898
Sum2.3844356 × 1011
Variance4.4892596 × 1011
MonotonicityNot monotonic
2024-03-14T19:28:01.582627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23850660 3
 
< 0.1%
23841934 2
 
< 0.1%
23908400 2
 
< 0.1%
23352386 2
 
< 0.1%
23921707 2
 
< 0.1%
22849557 2
 
< 0.1%
23908260 2
 
< 0.1%
22682084 2
 
< 0.1%
23979642 2
 
< 0.1%
23419764 2
 
< 0.1%
Other values (9931) 9979
99.8%
ValueCountFrequency (%)
22440102 1
< 0.1%
22457198 1
< 0.1%
22458321 1
< 0.1%
22483910 1
< 0.1%
22493316 1
< 0.1%
22541794 1
< 0.1%
22542108 1
< 0.1%
22542336 1
< 0.1%
22542768 1
< 0.1%
22542781 1
< 0.1%
ValueCountFrequency (%)
25571786 1
< 0.1%
25568337 1
< 0.1%
25567808 1
< 0.1%
25565980 1
< 0.1%
25563581 1
< 0.1%
25561643 1
< 0.1%
25555237 1
< 0.1%
25555073 1
< 0.1%
25554299 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%
Mean25672959
Minimum23670040
Maximum27979338
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T19:28:02.019897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23670040
5-th percentile24245535
Q124951387
median25496180
Q326234570
95-th percentile27482036
Maximum27979338
Range4309298
Interquartile range (IQR)1283183.5

Descriptive statistics

Standard deviation952619.51
Coefficient of variation (CV)0.037105949
Kurtosis-0.48434503
Mean25672959
Median Absolute Deviation (MAD)639459
Skewness0.4157778
Sum2.5672959 × 1011
Variance9.0748394 × 1011
MonotonicityNot monotonic
2024-03-14T19:28:02.648038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25477345 2
 
< 0.1%
25438845 2
 
< 0.1%
25697925 2
 
< 0.1%
24877978 2
 
< 0.1%
24617110 2
 
< 0.1%
27329264 2
 
< 0.1%
26612103 2
 
< 0.1%
24347097 2
 
< 0.1%
25489418 2
 
< 0.1%
26637151 2
 
< 0.1%
Other values (9952) 9980
99.8%
ValueCountFrequency (%)
23670040 1
< 0.1%
23694144 1
< 0.1%
23696823 1
< 0.1%
23698721 1
< 0.1%
23699402 1
< 0.1%
23717424 1
< 0.1%
23723079 1
< 0.1%
23744380 1
< 0.1%
23768390 1
< 0.1%
23774842 1
< 0.1%
ValueCountFrequency (%)
27979338 1
< 0.1%
27942458 1
< 0.1%
27925980 1
< 0.1%
27915388 1
< 0.1%
27915110 1
< 0.1%
27913281 1
< 0.1%
27912130 1
< 0.1%
27911321 1
< 0.1%
27909557 1
< 0.1%
27909309 1
< 0.1%

X좌표최대값
Real number (ℝ)

HIGH CORRELATION 

Distinct9945
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23848072
Minimum22443656
Maximum25575603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T19:28:03.059452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22443656
5-th percentile22890342
Q123343294
median23818966
Q324162943
95-th percentile25134466
Maximum25575603
Range3131947
Interquartile range (IQR)819649.5

Descriptive statistics

Standard deviation669827.1
Coefficient of variation (CV)0.028087265
Kurtosis-0.37355546
Mean23848072
Median Absolute Deviation (MAD)460043
Skewness0.54167275
Sum2.3848072 × 1011
Variance4.4866835 × 1011
MonotonicityNot monotonic
2024-03-14T19:28:03.500605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22766405 2
 
< 0.1%
23832155 2
 
< 0.1%
23196148 2
 
< 0.1%
24743734 2
 
< 0.1%
23846935 2
 
< 0.1%
25126341 2
 
< 0.1%
23153894 2
 
< 0.1%
23638194 2
 
< 0.1%
23863017 2
 
< 0.1%
23827777 2
 
< 0.1%
Other values (9935) 9980
99.8%
ValueCountFrequency (%)
22443656 1
< 0.1%
22461115 1
< 0.1%
22466092 1
< 0.1%
22486390 1
< 0.1%
22494888 1
< 0.1%
22543818 1
< 0.1%
22543967 1
< 0.1%
22544751 1
< 0.1%
22545004 1
< 0.1%
22546089 1
< 0.1%
ValueCountFrequency (%)
25575603 1
< 0.1%
25571693 1
< 0.1%
25571271 1
< 0.1%
25568170 1
< 0.1%
25566036 1
< 0.1%
25565253 1
< 0.1%
25558714 1
< 0.1%
25557789 1
< 0.1%
25557186 1
< 0.1%
25557019 1
< 0.1%

Y좌표최대값
Real number (ℝ)

HIGH CORRELATION 

Distinct9949
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25676784
Minimum23696544
Maximum28033127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T19:28:03.939000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23696544
5-th percentile24247959
Q124955191
median25499467
Q326238358
95-th percentile27485011
Maximum28033127
Range4336583
Interquartile range (IQR)1283166.8

Descriptive statistics

Standard deviation952645.98
Coefficient of variation (CV)0.037101452
Kurtosis-0.48450164
Mean25676784
Median Absolute Deviation (MAD)638810
Skewness0.41729644
Sum2.5676784 × 1011
Variance9.0753437 × 1011
MonotonicityNot monotonic
2024-03-14T19:28:04.379242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25498208 2
 
< 0.1%
27118453 2
 
< 0.1%
26658538 2
 
< 0.1%
27206485 2
 
< 0.1%
25444359 2
 
< 0.1%
25954743 2
 
< 0.1%
25238951 2
 
< 0.1%
25473994 2
 
< 0.1%
25255822 2
 
< 0.1%
25438116 2
 
< 0.1%
Other values (9939) 9980
99.8%
ValueCountFrequency (%)
23696544 1
< 0.1%
23699341 1
< 0.1%
23701398 1
< 0.1%
23702657 1
< 0.1%
23727531 1
< 0.1%
23749731 1
< 0.1%
23764408 1
< 0.1%
23772950 1
< 0.1%
23777407 1
< 0.1%
23788274 1
< 0.1%
ValueCountFrequency (%)
28033127 1
< 0.1%
28025304 1
< 0.1%
27980978 1
< 0.1%
27948330 1
< 0.1%
27928969 1
< 0.1%
27924141 1
< 0.1%
27916390 1
< 0.1%
27916249 1
< 0.1%
27915522 1
< 0.1%
27913801 1
< 0.1%

용적률
Real number (ℝ)

ZEROS 

Distinct3839
Distinct (%)38.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.76898
Minimum0
Maximum1011
Zeros2915
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T19:28:04.796842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15.94
Q328.0225
95-th percentile55.203
Maximum1011
Range1011
Interquartile range (IQR)28.0225

Descriptive statistics

Standard deviation27.775151
Coefficient of variation (CV)1.4049865
Kurtosis308.38982
Mean19.76898
Median Absolute Deviation (MAD)15.025
Skewness11.163292
Sum197689.8
Variance771.45904
MonotonicityNot monotonic
2024-03-14T19:28:05.240341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2915
29.1%
15.0 16
 
0.2%
24.5 12
 
0.1%
14.5 11
 
0.1%
20.0 10
 
0.1%
25.0 9
 
0.1%
13.9 9
 
0.1%
10.0 9
 
0.1%
13.5 8
 
0.1%
16.38 8
 
0.1%
Other values (3829) 6993
69.9%
ValueCountFrequency (%)
0.0 2915
29.1%
0.02 1
 
< 0.1%
0.03 1
 
< 0.1%
0.04 2
 
< 0.1%
0.05 1
 
< 0.1%
0.066 1
 
< 0.1%
0.07 3
 
< 0.1%
0.08 1
 
< 0.1%
0.1 1
 
< 0.1%
0.15 1
 
< 0.1%
ValueCountFrequency (%)
1011.0 1
< 0.1%
937.58 1
< 0.1%
566.35 1
< 0.1%
308.65 1
< 0.1%
308.5 1
< 0.1%
268.48 1
< 0.1%
260.8 1
< 0.1%
257.98 1
< 0.1%
256.39 1
< 0.1%
254.5 1
< 0.1%

건물군관리번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15346220
Minimum11
Maximum1.001869 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T19:28:05.671291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile2686.75
Q17837.75
median11797
Q315797
95-th percentile1.0018187 × 108
Maximum1.001869 × 108
Range1.0018689 × 108
Interquartile range (IQR)7959.25

Descriptive statistics

Standard deviation36070986
Coefficient of variation (CV)2.3504802
Kurtosis1.7139123
Mean15346220
Median Absolute Deviation (MAD)3981.5
Skewness1.9270624
Sum1.534622 × 1011
Variance1.301116 × 1015
MonotonicityNot monotonic
2024-03-14T19:28:06.117601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100173932 1
 
< 0.1%
100180452 1
 
< 0.1%
15754 1
 
< 0.1%
15696 1
 
< 0.1%
100179336 1
 
< 0.1%
100176790 1
 
< 0.1%
11154 1
 
< 0.1%
100183183 1
 
< 0.1%
13056 1
 
< 0.1%
10692 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
11 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
15 1
< 0.1%
20 1
< 0.1%
22 1
< 0.1%
40 1
< 0.1%
42 1
< 0.1%
43 1
< 0.1%
44 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%
100186808 1
< 0.1%
100186804 1
< 0.1%
100186803 1
< 0.1%

필지고유번호(PNU)
Real number (ℝ)

HIGH CORRELATION 

Distinct7412
Distinct (%)74.1%
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
2024-03-14T19:28:06.536676image/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)1.2987998 × 1013

Descriptive statistics

Standard deviation5.3362871 × 1012
Coefficient of variation (CV)1.1671584 × 10-6
Kurtosis-1.1695958
Mean4.5720332 × 1018
Median Absolute Deviation (MAD)3.0019968 × 1012
Skewness-0.53645056
Sum-9.1469247 × 1018
Variance2.847596 × 1025
MonotonicityNot monotonic
2024-03-14T19:28:06.995324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4572025021104030000 32
 
0.3%
4572025023100320000 24
 
0.2%
4572025021104060000 23
 
0.2%
4572025023102840000 22
 
0.2%
4572025021104790000 17
 
0.2%
4572031025110530000 17
 
0.2%
4572038029105030000 15
 
0.1%
4572025021103660000 14
 
0.1%
4572037024104450000 14
 
0.1%
4572025022101250000 13
 
0.1%
Other values (7402) 9809
98.1%
ValueCountFrequency (%)
4572025021100280000 1
 
< 0.1%
4572025021100330000 1
 
< 0.1%
4572025021100450000 1
 
< 0.1%
4572025021100540000 1
 
< 0.1%
4572025021100560000 3
< 0.1%
4572025021100570000 2
< 0.1%
4572025021100600000 1
 
< 0.1%
4572025021100610000 1
 
< 0.1%
4572025021100630000 1
 
< 0.1%
4572025021100640000 1
 
< 0.1%
ValueCountFrequency (%)
4572040026200720000 1
< 0.1%
4572040026200520000 2
< 0.1%
4572040026200400000 1
< 0.1%
4572040026110540000 1
< 0.1%
4572040026110460000 1
< 0.1%
4572040026109930000 1
< 0.1%
4572040026109900000 1
< 0.1%
4572040026109880000 1
< 0.1%
4572040026109760000 1
< 0.1%
4572040026109500000 1
< 0.1%

Interactions

2024-03-14T19:27:57.118231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:43.349953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:45.524804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:47.746567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:49.256768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:51.190380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:53.029324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:54.954418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:57.397370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:43.619447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:45.801828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:47.914197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:49.530826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:51.460708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:53.197938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:55.221720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:57.685550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:43.897216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:46.081940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:48.085845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:49.804937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:51.731294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:53.369774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:55.496904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:57.956473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:44.159582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:46.347286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:48.240582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:50.280090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:51.989139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:53.617791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:55.758158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:58.246356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:44.438589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:46.628541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:48.409078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:50.456566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:52.274883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:53.887215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:56.039422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:58.519951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:44.700587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:46.891471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:48.565242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:50.621373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:52.503104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:54.148409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:56.301076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:58.793968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:44.964077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:47.155651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:48.722304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:50.786764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:52.663844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:54.404830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:56.565755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:59.072116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:45.231809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:47.425732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:48.979239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:50.959072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:52.845067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:54.668907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:27:56.829127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:28:07.282569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간정보관리번호X좌표최소값Y좌표최소값X좌표최대값Y좌표최대값용적률건물군관리번호필지고유번호(PNU)
공간정보관리번호1.0000.8480.8530.8480.8510.1560.3890.852
X좌표최소값0.8481.0000.7271.0000.7290.1000.0680.789
Y좌표최소값0.8530.7271.0000.7270.9980.1220.0710.829
X좌표최대값0.8481.0000.7271.0000.7290.1000.0660.788
Y좌표최대값0.8510.7290.9980.7291.0000.1250.0680.829
용적률0.1560.1000.1220.1000.1251.0000.0220.096
건물군관리번호0.3890.0680.0710.0660.0680.0221.0000.071
필지고유번호(PNU)0.8520.7890.8290.7880.8290.0960.0711.000
2024-03-14T19:28:07.587072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간정보관리번호X좌표최소값Y좌표최소값X좌표최대값Y좌표최대값용적률건물군관리번호필지고유번호(PNU)
공간정보관리번호1.000-0.3020.162-0.3010.163-0.0410.0780.694
X좌표최소값-0.3021.0000.4461.0000.4450.0050.028-0.463
Y좌표최소값0.1620.4461.0000.4461.000-0.0640.0040.230
X좌표최대값-0.3011.0000.4461.0000.4450.0030.027-0.462
Y좌표최대값0.1630.4451.0000.4451.000-0.0640.0030.230
용적률-0.0410.005-0.0640.003-0.0641.0000.107-0.039
건물군관리번호0.0780.0280.0040.0270.0030.1071.0000.009
필지고유번호(PNU)0.694-0.4630.230-0.4620.230-0.0390.0091.000

Missing values

2024-03-14T19:27:59.461580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:27:59.893822image/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

공간정보관리번호X좌표최소값Y좌표최소값X좌표최대값Y좌표최대값용적률건물군관리번호필지고유번호(PNU)
694169992334773624829979233499112483178245.311001739324572037021105750000
84518563234890762621851923492980262224600.067894572038025111410000
1184012035234943582524228423500680252449930.01001849864572025032106020000
516753932366688624556215236697002455859533.171001752924572035022107240000
1050210801234920522445916023494404244618900.0115924572035023100200000
221624582341864125272504234217042527596215.0776344572025032107730000
9538992381490325432832238186332543477125.0169234572025022102840000
698773032358337224952946235866592495497923.49162044572037022100930000
10448105582350173727865697235039822786783534.83103784572040026101560000
507846992497560825844548249784222584836634.090474572033026100850000
공간정보관리번호X좌표최소값Y좌표최소값X좌표최대값Y좌표최대값용적률건물군관리번호필지고유번호(PNU)
22512357236462272533935223648841253422879.6462344572025031100750000
97429800245450282527984924546298252830048.431001811724572025027108700000
971597732385082427521254238529182752325321.6891164572040021101070000
939594542395436125656408239575012565911710.531001817754572025033111300000
638760372354367924473356235462542447562223.82166394572035029109270000
631363662289667824223007228994192422597430.52145564572036023104220000
883121623753725251788012375866025184269152.28129054572025023106900000
15761222237788162500197923782655250099080.054644572025024109880000
4654102414102825221651241422252522240626.611001829534572025029102870000
915695122437622826688240243795572669127216.84149694572039023109700000