Overview

Dataset statistics

Number of variables10
Number of observations157
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.5 KiB
Average record size in memory87.8 B

Variable types

Numeric7
Categorical3

Dataset

Description전북특별자치도 진안군 도시계획정보시스템 도로 집행에 대한 데이터로 공간정보관리번호, X좌표 및 Y좌표 정보, 라벨명, 면적_도형, 길이_도형 등 정보를 제공합니다.
Author전북특별자치도 진안군
URLhttps://www.data.go.kr/data/15119122/fileData.do

Alerts

규모 is highly overall correlated with 라벨명High correlation
라벨명 is highly overall correlated with 규모High correlation
공간정보관리번호 is highly overall correlated with 현황도형 생성일시High 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
면적_도형 is highly overall correlated with 길이_도형High correlation
길이_도형 is highly overall correlated with 면적_도형High correlation
현황도형 생성일시 is highly overall correlated with 공간정보관리번호High correlation
공간정보관리번호 has unique valuesUnique
Y좌표최소값 has unique valuesUnique
Y좌표최대값 has unique valuesUnique
면적_도형 has unique valuesUnique
길이_도형 has unique valuesUnique

Reproduction

Analysis started2024-03-14 16:54:18.986651
Analysis finished2024-03-14 16:54:31.714625
Duration12.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간정보관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct157
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean719
Minimum641
Maximum797
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-15T01:54:31.914186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum641
5-th percentile648.8
Q1680
median719
Q3758
95-th percentile789.2
Maximum797
Range156
Interquartile range (IQR)78

Descriptive statistics

Standard deviation45.466105
Coefficient of variation (CV)0.063235194
Kurtosis-1.2
Mean719
Median Absolute Deviation (MAD)39
Skewness0
Sum112883
Variance2067.1667
MonotonicityNot monotonic
2024-03-15T01:54:32.347499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
787 1
 
0.6%
671 1
 
0.6%
665 1
 
0.6%
658 1
 
0.6%
666 1
 
0.6%
667 1
 
0.6%
668 1
 
0.6%
669 1
 
0.6%
670 1
 
0.6%
672 1
 
0.6%
Other values (147) 147
93.6%
ValueCountFrequency (%)
641 1
0.6%
642 1
0.6%
643 1
0.6%
644 1
0.6%
645 1
0.6%
646 1
0.6%
647 1
0.6%
648 1
0.6%
649 1
0.6%
650 1
0.6%
ValueCountFrequency (%)
797 1
0.6%
796 1
0.6%
795 1
0.6%
794 1
0.6%
793 1
0.6%
792 1
0.6%
791 1
0.6%
790 1
0.6%
789 1
0.6%
788 1
0.6%

X좌표최소값
Real number (ℝ)

HIGH CORRELATION 

Distinct155
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23772425
Minimum22473737
Maximum25439278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-15T01:54:32.738540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22473737
5-th percentile22783906
Q123740529
median23822477
Q323918254
95-th percentile24720686
Maximum25439278
Range2965541
Interquartile range (IQR)177725

Descriptive statistics

Standard deviation508592
Coefficient of variation (CV)0.021394199
Kurtosis2.6852351
Mean23772425
Median Absolute Deviation (MAD)94354
Skewness0.35842162
Sum3.7322708 × 109
Variance2.5866582 × 1011
MonotonicityNot monotonic
2024-03-15T01:54:33.061576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23906639 3
 
1.9%
23804365 1
 
0.6%
22925176 1
 
0.6%
23818168 1
 
0.6%
23989856 1
 
0.6%
25028252 1
 
0.6%
23916675 1
 
0.6%
23937270 1
 
0.6%
23795733 1
 
0.6%
23813597 1
 
0.6%
Other values (145) 145
92.4%
ValueCountFrequency (%)
22473737 1
0.6%
22536356 1
0.6%
22593483 1
0.6%
22600008 1
0.6%
22625248 1
0.6%
22650122 1
0.6%
22776819 1
0.6%
22782412 1
0.6%
22784280 1
0.6%
22792043 1
0.6%
ValueCountFrequency (%)
25439278 1
0.6%
25397552 1
0.6%
25385378 1
0.6%
25248845 1
0.6%
25103327 1
0.6%
25074820 1
0.6%
25028252 1
0.6%
24911095 1
0.6%
24673084 1
0.6%
24627816 1
0.6%

Y좌표최소값
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct157
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25362589
Minimum23668362
Maximum27598144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-15T01:54:33.492462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23668362
5-th percentile24267309
Q125237419
median25419890
Q325487675
95-th percentile26381519
Maximum27598144
Range3929782
Interquartile range (IQR)250256

Descriptive statistics

Standard deviation585620.37
Coefficient of variation (CV)0.023089929
Kurtosis2.9407793
Mean25362589
Median Absolute Deviation (MAD)151802
Skewness0.40820872
Sum3.9819264 × 109
Variance3.4295122 × 1011
MonotonicityNot monotonic
2024-03-15T01:54:33.955356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25247084 1
 
0.6%
25474870 1
 
0.6%
25311806 1
 
0.6%
25290416 1
 
0.6%
25245784 1
 
0.6%
25112419 1
 
0.6%
25587694 1
 
0.6%
26664881 1
 
0.6%
25481686 1
 
0.6%
25390052 1
 
0.6%
Other values (147) 147
93.6%
ValueCountFrequency (%)
23668362 1
0.6%
24020646 1
0.6%
24022051 1
0.6%
24050539 1
0.6%
24096329 1
0.6%
24101322 1
0.6%
24202039 1
0.6%
24244211 1
0.6%
24273083 1
0.6%
24283363 1
0.6%
ValueCountFrequency (%)
27598144 1
0.6%
27397378 1
0.6%
27156693 1
0.6%
27024358 1
0.6%
26664881 1
0.6%
26423110 1
0.6%
26401836 1
0.6%
26382934 1
0.6%
26381165 1
0.6%
26376327 1
0.6%

X좌표최대값
Real number (ℝ)

HIGH CORRELATION 

Distinct154
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23889657
Minimum22521478
Maximum25574740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-15T01:54:34.387230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22521478
5-th percentile23076068
Q123776347
median23868825
Q323947807
95-th percentile25061381
Maximum25574740
Range3053262
Interquartile range (IQR)171460

Descriptive statistics

Standard deviation516501.53
Coefficient of variation (CV)0.021620299
Kurtosis2.9187081
Mean23889657
Median Absolute Deviation (MAD)88309
Skewness0.84732908
Sum3.7506761 × 109
Variance2.6677383 × 1011
MonotonicityNot monotonic
2024-03-15T01:54:34.789691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23908264 2
 
1.3%
23883568 2
 
1.3%
23922698 2
 
1.3%
23808802 1
 
0.6%
23758012 1
 
0.6%
23900064 1
 
0.6%
24200802 1
 
0.6%
25256523 1
 
0.6%
23945282 1
 
0.6%
23969794 1
 
0.6%
Other values (144) 144
91.7%
ValueCountFrequency (%)
22521478 1
0.6%
22561581 1
0.6%
22653790 1
0.6%
22676902 1
0.6%
22918770 1
0.6%
22937298 1
0.6%
22965459 1
0.6%
23045964 1
0.6%
23083594 1
0.6%
23129897 1
0.6%
ValueCountFrequency (%)
25574740 1
0.6%
25493683 1
0.6%
25448333 1
0.6%
25404893 1
0.6%
25394655 1
0.6%
25323355 1
0.6%
25256523 1
0.6%
25121140 1
0.6%
25046441 1
0.6%
24998001 1
0.6%

Y좌표최대값
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct157
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25504014
Minimum24171353
Maximum27891016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-15T01:54:35.263563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24171353
5-th percentile24541165
Q125256728
median25447620
Q325544532
95-th percentile26656800
Maximum27891016
Range3719663
Interquartile range (IQR)287804

Descriptive statistics

Standard deviation647079.89
Coefficient of variation (CV)0.025371688
Kurtosis3.3158608
Mean25504014
Median Absolute Deviation (MAD)162818
Skewness1.3036225
Sum4.0041303 × 109
Variance4.1871239 × 1011
MonotonicityNot monotonic
2024-03-15T01:54:35.723126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25256728 1
 
0.6%
25546137 1
 
0.6%
25383657 1
 
0.6%
25298164 1
 
0.6%
26199751 1
 
0.6%
25388305 1
 
0.6%
25786188 1
 
0.6%
26703560 1
 
0.6%
25545061 1
 
0.6%
25404949 1
 
0.6%
Other values (147) 147
93.6%
ValueCountFrequency (%)
24171353 1
0.6%
24243516 1
0.6%
24301872 1
0.6%
24308197 1
0.6%
24338789 1
0.6%
24357624 1
0.6%
24385644 1
0.6%
24451087 1
0.6%
24563684 1
0.6%
24586025 1
0.6%
ValueCountFrequency (%)
27891016 1
0.6%
27864333 1
0.6%
27601740 1
0.6%
27498681 1
0.6%
27487840 1
0.6%
27275918 1
0.6%
27256551 1
0.6%
26703560 1
0.6%
26645110 1
0.6%
26607740 1
0.6%

라벨명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
소로2류
43 
소로3류
36 
소로1류
36 
중로3류
19 
중로2류
11 
Other values (3)
12 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row중로2류
2nd row중로2류
3rd row중로3류
4th row중로3류
5th row중로3류

Common Values

ValueCountFrequency (%)
소로2류 43
27.4%
소로3류 36
22.9%
소로1류 36
22.9%
중로3류 19
12.1%
중로2류 11
 
7.0%
중로1류 9
 
5.7%
대로3류 2
 
1.3%
대로1류 1
 
0.6%

Length

2024-03-15T01:54:36.174571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:54:36.511515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소로2류 43
27.4%
소로3류 36
22.9%
소로1류 36
22.9%
중로3류 19
12.1%
중로2류 11
 
7.0%
중로1류 9
 
5.7%
대로3류 2
 
1.3%
대로1류 1
 
0.6%

면적_도형
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct157
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25447.156
Minimum273.71
Maximum312927.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-15T01:54:36.825760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum273.71
5-th percentile525.73
Q11504.37
median4697.89
Q325736.85
95-th percentile139461.55
Maximum312927.58
Range312653.87
Interquartile range (IQR)24232.48

Descriptive statistics

Standard deviation48086.275
Coefficient of variation (CV)1.8896522
Kurtosis12.972073
Mean25447.156
Median Absolute Deviation (MAD)4099
Skewness3.3234851
Sum3995203.6
Variance2.3122898 × 109
MonotonicityNot monotonic
2024-03-15T01:54:37.198018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1504.37 1
 
0.6%
16145.67 1
 
0.6%
15615.0 1
 
0.6%
884.83 1
 
0.6%
312927.58 1
 
0.6%
58709.41 1
 
0.6%
65132.01 1
 
0.6%
47804.28 1
 
0.6%
15516.38 1
 
0.6%
4389.72 1
 
0.6%
Other values (147) 147
93.6%
ValueCountFrequency (%)
273.71 1
0.6%
293.37 1
0.6%
399.52 1
0.6%
413.55 1
0.6%
453.49 1
0.6%
454.2 1
0.6%
498.11 1
0.6%
506.53 1
0.6%
530.53 1
0.6%
538.43 1
0.6%
ValueCountFrequency (%)
312927.58 1
0.6%
258528.73 1
0.6%
212503.52 1
0.6%
170615.56 1
0.6%
167057.97 1
0.6%
151709.02 1
0.6%
144130.39 1
0.6%
142608.26 1
0.6%
138674.87 1
0.6%
122552.54 1
0.6%

길이_도형
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct157
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4860.4436
Minimum137.71
Maximum51082.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-15T01:54:37.678806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum137.71
5-th percentile196.008
Q1390.42
median1012.23
Q35262.46
95-th percentile26426.85
Maximum51082.9
Range50945.19
Interquartile range (IQR)4872.04

Descriptive statistics

Standard deviation8522.4598
Coefficient of variation (CV)1.7534325
Kurtosis8.4160056
Mean4860.4436
Median Absolute Deviation (MAD)777.04
Skewness2.7776516
Sum763089.65
Variance72632322
MonotonicityNot monotonic
2024-03-15T01:54:38.200295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
270.12 1
 
0.6%
1631.05 1
 
0.6%
1621.44 1
 
0.6%
235.19 1
 
0.6%
29841.99 1
 
0.6%
6068.93 1
 
0.6%
5967.77 1
 
0.6%
4830.31 1
 
0.6%
1610.65 1
 
0.6%
400.13 1
 
0.6%
Other values (147) 147
93.6%
ValueCountFrequency (%)
137.71 1
0.6%
142.04 1
0.6%
153.0 1
0.6%
177.26 1
0.6%
186.81 1
0.6%
191.1 1
0.6%
191.29 1
0.6%
194.88 1
0.6%
196.29 1
0.6%
198.02 1
0.6%
ValueCountFrequency (%)
51082.9 1
0.6%
36244.56 1
0.6%
35678.43 1
0.6%
34042.2 1
0.6%
29841.99 1
0.6%
29076.34 1
0.6%
27791.54 1
0.6%
27730.09 1
0.6%
26101.04 1
0.6%
24569.23 1
0.6%

규모
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
소로
115 
중로
39 
대로
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소로 115
73.2%
중로 39
 
24.8%
대로 3
 
1.9%

Length

2024-03-15T01:54:38.623654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:54:38.952904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소로 115
73.2%
중로 39
 
24.8%
대로 3
 
1.9%

현황도형 생성일시
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2018-11-21
58 
2013-01-02
28 
2018-11-20
24 
2022-03-31
13 
2017-08-28
9 
Other values (10)
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique4 ?
Unique (%)2.5%

Sample

1st row2022-03-31
2nd row2022-03-31
3rd row2022-03-31
4th row2022-03-31
5th row2022-03-31

Common Values

ValueCountFrequency (%)
2018-11-21 58
36.9%
2013-01-02 28
17.8%
2018-11-20 24
15.3%
2022-03-31 13
 
8.3%
2017-08-28 9
 
5.7%
2020-08-03 7
 
4.5%
2019-08-22 5
 
3.2%
2021-05-31 3
 
1.9%
2015-07-15 2
 
1.3%
2021-06-30 2
 
1.3%
Other values (5) 6
 
3.8%

Length

2024-03-15T01:54:39.276754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-11-21 58
36.9%
2013-01-02 28
17.8%
2018-11-20 24
15.3%
2022-03-31 13
 
8.3%
2017-08-28 9
 
5.7%
2020-08-03 7
 
4.5%
2019-08-22 5
 
3.2%
2021-05-31 3
 
1.9%
2015-07-15 2
 
1.3%
2021-06-30 2
 
1.3%
Other values (5) 6
 
3.8%

Interactions

2024-03-15T01:54:29.276662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:19.727873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:21.320055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:22.762005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:24.184049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:25.615540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:27.376932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:29.599401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:20.003945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:21.514723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:22.986881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:24.353295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:25.798915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:27.646658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:29.854787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:20.260056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:21.675145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:23.191718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:24.513619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:26.012179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:27.915574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:30.126837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:20.446005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:21.846490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:23.369444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:24.706938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:26.296895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:28.184546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:30.386865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:20.613487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:22.065806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:23.535278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:25.131559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:26.566130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:28.447816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:30.659913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:20.800425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:22.339036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:23.806088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:25.306170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:26.845301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:28.718062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:30.912141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:21.052400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:22.596404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:24.004333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:25.465883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:27.116673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:54:28.968478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T01:54:39.599614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간정보관리번호X좌표최소값Y좌표최소값X좌표최대값Y좌표최대값라벨명면적_도형길이_도형규모현황도형 생성일시
공간정보관리번호1.0000.6970.5770.7070.5410.7500.3700.4600.6560.871
X좌표최소값0.6971.0000.8430.9610.7040.3110.6330.6390.0000.452
Y좌표최소값0.5770.8431.0000.8110.8530.2720.5610.6170.0000.665
X좌표최대값0.7070.9610.8111.0000.7160.2890.5540.6180.0000.213
Y좌표최대값0.5410.7040.8530.7161.0000.2930.7390.7490.2540.666
라벨명0.7500.3110.2720.2890.2931.0000.2870.1301.0000.515
면적_도형0.3700.6330.5610.5540.7390.2871.0000.9730.0000.800
길이_도형0.4600.6390.6170.6180.7490.1300.9731.0000.0000.775
규모0.6560.0000.0000.0000.2541.0000.0000.0001.0000.471
현황도형 생성일시0.8710.4520.6650.2130.6660.5150.8000.7750.4711.000
2024-03-15T01:54:39.815728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
규모현황도형 생성일시라벨명
규모1.0000.2340.984
현황도형 생성일시0.2341.0000.243
라벨명0.9840.2431.000
2024-03-15T01:54:39.981159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간정보관리번호X좌표최소값Y좌표최소값X좌표최대값Y좌표최대값면적_도형길이_도형라벨명규모현황도형 생성일시
공간정보관리번호1.0000.097-0.1620.077-0.181-0.098-0.0560.4780.4820.549
X좌표최소값0.0971.0000.4240.8830.408-0.167-0.1940.1590.0000.175
Y좌표최소값-0.1620.4241.0000.4330.9400.0170.0390.1420.0000.300
X좌표최대값0.0770.8830.4331.0000.4550.1070.0750.1490.0000.074
Y좌표최대값-0.1810.4080.9400.4551.0000.2100.2270.1530.1170.337
면적_도형-0.098-0.1670.0170.1070.2101.0000.9720.1450.0000.475
길이_도형-0.056-0.1940.0390.0750.2270.9721.0000.0660.0000.437
라벨명0.4780.1590.1420.1490.1530.1450.0661.0000.9840.243
규모0.4820.0000.0000.0000.1170.0000.0000.9841.0000.234
현황도형 생성일시0.5490.1750.3000.0740.3370.4750.4370.2430.2341.000

Missing values

2024-03-15T01:54:31.262292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:54:31.564910image/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

공간정보관리번호X좌표최소값Y좌표최소값X좌표최대값Y좌표최대값라벨명면적_도형길이_도형규모현황도형 생성일시
078723926630252470842393157825256728중로2류1504.37270.12중로2022-03-31
178823926248252362492393015025246100중로2류1512.19277.78중로2022-03-31
278923911758252472672391792225274087중로3류3371.94598.85중로2022-03-31
379023926182252326662395027925243382중로3류3867.67678.02중로2022-03-31
479123928946252521062396156925257927중로3류3910.78675.8중로2022-03-31
579223965557252471792399334925252668중로3류3235.2599.46중로2022-03-31
679323977327252383442398532425249446중로3류2089.57385.47중로2022-03-31
779423985182252380012399352025239440소로3류273.71191.1소로2022-03-31
879523915037252660692392386625269136소로3류454.2196.29소로2022-03-31
979623945777252237782394780725232712소로3류453.49191.29소로2022-03-31
공간정보관리번호X좌표최소값Y좌표최소값X좌표최대값Y좌표최대값라벨명면적_도형길이_도형규모현황도형 생성일시
14770723878057255043802389192925511453소로1류1536.41345.71소로2018-11-21
14870823955153250658622420023725375867소로2류51676.5111292.24소로2018-11-21
14971324911095261683172504644126607740소로2류41270.1810372.0소로2018-11-21
15071423971034256900772409220225726546소로2류11105.372799.33소로2018-11-21
15171224673084273973782482797527498681소로2류20883.115264.87소로2018-11-21
15271523135302259426682332872025994227소로2류18989.014884.4소로2018-11-21
15371623460754242020392349783824451087소로2류21140.195167.61소로2018-11-21
15471722784280254827972312989725888671소로2류48159.812016.25소로2018-11-21
15571823387165275981442349045727864333소로2류30832.247735.51소로2018-11-21
15671925103327254932232532335525642361소로2류32628.358198.24소로2018-11-21