Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells32184
Missing cells (%)40.2%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory771.5 KiB
Average record size in memory79.0 B

Variable types

Numeric7
Unsupported1

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
노드아이디 is highly overall correlated with 링크아이디 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
링크아이디 is highly overall correlated with 노드아이디 and 1 other fieldsHigh correlation
권역코드 is highly overall correlated with 노드아이디 and 1 other fieldsHigh correlation
Y좌표 is highly overall correlated with 경도High correlation
X좌표 is highly overall correlated with 위도High correlation
노드아이디 has 4023 (40.2%) missing valuesMissing
정류장아이디 has 4023 (40.2%) missing valuesMissing
위도 has 4023 (40.2%) missing valuesMissing
경도 has 4023 (40.2%) missing valuesMissing
링크아이디 has 4023 (40.2%) missing valuesMissing
권역코드 has 4023 (40.2%) missing valuesMissing
Y좌표 has 4023 (40.2%) missing valuesMissing
X좌표 has 4023 (40.2%) missing valuesMissing
정류장아이디 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 22:51:24.899295
Analysis finished2023-12-10 22:51:32.035113
Duration7.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

노드아이디
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5977
Distinct (%)100.0%
Missing4023
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean8.759528 × 1015
Minimum1.0000005 × 109
Maximum2.0230904 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:51:32.115012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0000005 × 109
5-th percentile1.16001 × 109
Q12.1400025 × 109
median2.2900995 × 109
Q32.3600968 × 109
95-th percentile2.9700003 × 109
Maximum2.0230904 × 1017
Range2.0230904 × 1017
Interquartile range (IQR)2.200943 × 108

Descriptive statistics

Standard deviation4.1161312 × 1016
Coefficient of variation (CV)4.6990331
Kurtosis18.138725
Mean8.759528 × 1015
Median Absolute Deviation (MAD)1.100348 × 108
Skewness4.4869417
Sum-2.9845334 × 1018
Variance1.6942536 × 1033
MonotonicityNot monotonic
2023-12-11T07:51:32.285545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2400011600 1
 
< 0.1%
2430058700 1
 
< 0.1%
2320012300 1
 
< 0.1%
2220135800 1
 
< 0.1%
2130016200 1
 
< 0.1%
2170055700 1
 
< 0.1%
2410037500 1
 
< 0.1%
1670011900 1
 
< 0.1%
2150025100 1
 
< 0.1%
2290050600 1
 
< 0.1%
Other values (5967) 5967
59.7%
(Missing) 4023
40.2%
ValueCountFrequency (%)
1000000500 1
< 0.1%
1000001300 1
< 0.1%
1000001600 1
< 0.1%
1000005400 1
< 0.1%
1000007500 1
< 0.1%
1000009000 1
< 0.1%
1000009100 1
< 0.1%
1000009900 1
< 0.1%
1010001000 1
< 0.1%
1010001700 1
< 0.1%
ValueCountFrequency (%)
202309042260000096 1
< 0.1%
202308312240000384 1
< 0.1%
202308162260000096 1
< 0.1%
202308142380001088 1
< 0.1%
202308142380000800 1
< 0.1%
202308142380000704 1
< 0.1%
202308142380000384 1
< 0.1%
202308092320000096 1
< 0.1%
202308032140000704 1
< 0.1%
202308032140000288 1
< 0.1%

정류장아이디
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4023
Missing (%)40.2%
Memory size156.2 KiB

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5835
Distinct (%)97.6%
Missing4023
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean5833.49
Minimum3434.224
Maximum12926.484
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:51:32.446816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3434.224
5-th percentile3701.0802
Q13719.989
median3733.516
Q33759.8128
95-th percentile12710.752
Maximum12926.484
Range9492.26
Interquartile range (IQR)39.8238

Descriptive statistics

Standard deviation3802.9191
Coefficient of variation (CV)0.65191147
Kurtosis-0.44617149
Mean5833.49
Median Absolute Deviation (MAD)16.882
Skewness1.246365
Sum34866770
Variance14462194
MonotonicityNot monotonic
2023-12-11T07:51:32.644484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12706.582 4
 
< 0.1%
12706.492 3
 
< 0.1%
3723.933 3
 
< 0.1%
3753.94 3
 
< 0.1%
3731.21 3
 
< 0.1%
3730.907 2
 
< 0.1%
12653.057 2
 
< 0.1%
3756.525 2
 
< 0.1%
3700.108 2
 
< 0.1%
3739.941 2
 
< 0.1%
Other values (5825) 5951
59.5%
(Missing) 4023
40.2%
ValueCountFrequency (%)
3434.224 1
< 0.1%
3444.769 1
< 0.1%
3450.487 1
< 0.1%
3456.175 1
< 0.1%
3458.972 1
< 0.1%
3502.186 1
< 0.1%
3502.27 1
< 0.1%
3503.508 1
< 0.1%
3503.736 1
< 0.1%
3503.737 1
< 0.1%
ValueCountFrequency (%)
12926.484 1
< 0.1%
12901.93 1
< 0.1%
12859.134 1
< 0.1%
12842.288 1
< 0.1%
12740.924 1
< 0.1%
12740.505 1
< 0.1%
12740.473 2
< 0.1%
12739.559 1
< 0.1%
12739.256 1
< 0.1%
12738.936 1
< 0.1%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5626
Distinct (%)94.1%
Missing4023
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean10575.423
Minimum3643.538
Maximum12926.531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:51:32.783140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3643.538
5-th percentile3713.991
Q112637.451
median12654.782
Q312707.914
95-th percentile12733.005
Maximum12926.531
Range9282.993
Interquartile range (IQR)70.463

Descriptive statistics

Standard deviation3802.3667
Coefficient of variation (CV)0.35954747
Kurtosis-0.44629932
Mean10575.423
Median Absolute Deviation (MAD)52.251
Skewness-1.2463515
Sum63209305
Variance14457992
MonotonicityNot monotonic
2023-12-11T07:51:33.189492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12648.34 4
 
< 0.1%
12648.51 4
 
< 0.1%
12711.87 4
 
< 0.1%
12659.93 4
 
< 0.1%
12704.5 3
 
< 0.1%
12651.91 3
 
< 0.1%
12706.02 3
 
< 0.1%
3725.349 3
 
< 0.1%
12704.052 3
 
< 0.1%
12650.78 3
 
< 0.1%
Other values (5616) 5943
59.4%
(Missing) 4023
40.2%
ValueCountFrequency (%)
3643.538 1
< 0.1%
3655.508 1
< 0.1%
3656.24 1
< 0.1%
3656.474 1
< 0.1%
3656.552 1
< 0.1%
3656.643 1
< 0.1%
3656.808 1
< 0.1%
3657.084 1
< 0.1%
3657.256 1
< 0.1%
3657.27 1
< 0.1%
ValueCountFrequency (%)
12926.531 1
< 0.1%
12923.15 1
< 0.1%
12920.954 1
< 0.1%
12917.161 1
< 0.1%
12911.418 1
< 0.1%
12910.97 1
< 0.1%
12905.396 1
< 0.1%
12904.941 1
< 0.1%
12857.52 1
< 0.1%
12852.392 1
< 0.1%

링크아이디
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5516
Distinct (%)92.3%
Missing4023
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean2.1321681 × 109
Minimum1.0000007 × 109
Maximum3.9300002 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:51:33.328143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0000007 × 109
5-th percentile1.1600112 × 109
Q12.1000334 × 109
median2.2402436 × 109
Q32.3303426 × 109
95-th percentile2.4000646 × 109
Maximum3.9300002 × 109
Range2.9299995 × 109
Interquartile range (IQR)2.303092 × 108

Descriptive statistics

Standard deviation3.7232093 × 108
Coefficient of variation (CV)0.17462081
Kurtosis3.3827358
Mean2.1321681 × 109
Median Absolute Deviation (MAD)1.000408 × 108
Skewness-1.3397857
Sum1.2743969 × 1013
Variance1.3862288 × 1017
MonotonicityNot monotonic
2023-12-11T07:51:33.464858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2180113500 5
 
0.1%
2370176100 5
 
0.1%
2170144000 4
 
< 0.1%
2390046100 4
 
< 0.1%
2350177900 4
 
< 0.1%
2390003300 4
 
< 0.1%
1190006900 3
 
< 0.1%
2360119600 3
 
< 0.1%
1680020500 3
 
< 0.1%
2390026300 3
 
< 0.1%
Other values (5506) 5939
59.4%
(Missing) 4023
40.2%
ValueCountFrequency (%)
1000000700 1
< 0.1%
1000001300 1
< 0.1%
1000001700 1
< 0.1%
1000002700 1
< 0.1%
1000010700 1
< 0.1%
1000014700 2
< 0.1%
1000016400 1
< 0.1%
1010001300 1
< 0.1%
1010001400 1
< 0.1%
1010001800 1
< 0.1%
ValueCountFrequency (%)
3930000201 1
< 0.1%
3890000401 1
< 0.1%
3850000300 1
< 0.1%
3810001200 1
< 0.1%
3800006300 1
< 0.1%
3720003800 1
< 0.1%
3720000501 1
< 0.1%
3710058100 1
< 0.1%
3710056200 1
< 0.1%
3700000601 1
< 0.1%

권역코드
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct139
Distinct (%)2.3%
Missing4023
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean215.07378
Minimum100
Maximum417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:51:33.596495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile116
Q1213
median228
Q3235
95-th percentile243
Maximum417
Range317
Interquartile range (IQR)22

Descriptive statistics

Standard deviation38.186905
Coefficient of variation (CV)0.17755258
Kurtosis3.4695765
Mean215.07378
Median Absolute Deviation (MAD)10
Skewness-1.2719283
Sum1285496
Variance1458.2397
MonotonicityNot monotonic
2023-12-11T07:51:33.735032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
233 405
 
4.0%
229 294
 
2.9%
214 264
 
2.6%
222 233
 
2.3%
235 222
 
2.2%
237 197
 
2.0%
234 191
 
1.9%
236 190
 
1.9%
230 176
 
1.8%
218 172
 
1.7%
Other values (129) 3633
36.3%
(Missing) 4023
40.2%
ValueCountFrequency (%)
100 8
 
0.1%
101 12
0.1%
102 15
0.1%
103 6
 
0.1%
104 14
0.1%
105 19
0.2%
106 26
0.3%
107 10
 
0.1%
108 10
 
0.1%
109 21
0.2%
ValueCountFrequency (%)
417 1
 
< 0.1%
413 3
< 0.1%
398 1
 
< 0.1%
393 1
 
< 0.1%
385 1
 
< 0.1%
381 1
 
< 0.1%
372 3
< 0.1%
371 1
 
< 0.1%
370 1
 
< 0.1%
365 1
 
< 0.1%

Y좌표
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5977
Distinct (%)100.0%
Missing4023
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean204776.27
Minimum144472.6
Maximum418232.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:51:33.850717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum144472.6
5-th percentile172010.03
Q1186273.26
median202817.24
Q3216484.21
95-th percentile249615.85
Maximum418232.29
Range273759.69
Interquartile range (IQR)30210.946

Descriptive statistics

Standard deviation26105.525
Coefficient of variation (CV)0.12748316
Kurtosis8.4938555
Mean204776.27
Median Absolute Deviation (MAD)15287.615
Skewness1.8028836
Sum1.2239477 × 109
Variance6.8149846 × 108
MonotonicityNot monotonic
2023-12-11T07:51:33.968742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
243668.7397 1
 
< 0.1%
224129.013 1
 
< 0.1%
163145.332187 1
 
< 0.1%
211073.066 1
 
< 0.1%
187244.132973 1
 
< 0.1%
181631.034555 1
 
< 0.1%
184276.669 1
 
< 0.1%
177258.534633 1
 
< 0.1%
203514.745995 1
 
< 0.1%
181531.482 1
 
< 0.1%
Other values (5967) 5967
59.7%
(Missing) 4023
40.2%
ValueCountFrequency (%)
144472.597 1
< 0.1%
144508.327 1
< 0.1%
145462.702 1
< 0.1%
146655.055 1
< 0.1%
148511.279 1
< 0.1%
148872.915 1
< 0.1%
150274.246 1
< 0.1%
151913.55 1
< 0.1%
152062.998 1
< 0.1%
153279.844 1
< 0.1%
ValueCountFrequency (%)
418232.288 1
< 0.1%
418044.82655 1
< 0.1%
416310.862185 1
< 0.1%
411725.798 1
< 0.1%
407262.997 1
< 0.1%
396212.888 1
< 0.1%
394424.311738 1
< 0.1%
386952.901 1
< 0.1%
386375.963 1
< 0.1%
379184.975847 1
< 0.1%

X좌표
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct5977
Distinct (%)100.0%
Missing4023
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean439626.01
Minimum119199.18
Maximum542769.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:51:34.109724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum119199.18
5-th percentile391127.9
Q1419568.4
median439874.23
Q3461524.01
95-th percentile488547.49
Maximum542769.44
Range423570.26
Interquartile range (IQR)41955.607

Descriptive statistics

Standard deviation32663.521
Coefficient of variation (CV)0.074298427
Kurtosis9.410715
Mean439626.01
Median Absolute Deviation (MAD)20953.147
Skewness-1.3272225
Sum2.6276446 × 109
Variance1.0669056 × 109
MonotonicityNot monotonic
2023-12-11T07:51:34.286294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442872.867807 1
 
< 0.1%
414173.615 1
 
< 0.1%
460853.52677 1
 
< 0.1%
460914.73 1
 
< 0.1%
442436.388964 1
 
< 0.1%
426445.979301 1
 
< 0.1%
466482.163 1
 
< 0.1%
451071.048707 1
 
< 0.1%
492376.429648 1
 
< 0.1%
474209.918 1
 
< 0.1%
Other values (5967) 5967
59.7%
(Missing) 4023
40.2%
ValueCountFrequency (%)
119199.185 1
< 0.1%
138751.778 1
< 0.1%
149563.894088 1
< 0.1%
159938.322 1
< 0.1%
173793.604 1
< 0.1%
173798.054 1
< 0.1%
188556.02 1
< 0.1%
192688.094 1
< 0.1%
193613.98 1
< 0.1%
226079.292 1
< 0.1%
ValueCountFrequency (%)
542769.445 1
< 0.1%
527446.855 1
< 0.1%
523342.956315 1
< 0.1%
522774.345 1
< 0.1%
522476.929 1
< 0.1%
522457.128 1
< 0.1%
520442.873 1
< 0.1%
519060.331509 1
< 0.1%
518344.974 1
< 0.1%
516695.397 1
< 0.1%

Interactions

2023-12-11T07:51:30.854638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:25.816157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:26.866356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:27.654650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:28.450727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:29.269471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:30.096181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:30.990661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:25.925625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:27.013537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:27.766665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:28.575613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:29.412066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:30.224086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:31.098619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:26.016755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:27.110376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:27.896899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:28.708574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:29.525488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:30.339456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:31.189194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:26.109827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:27.235873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:28.011492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:28.813955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:29.623022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:30.451571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:31.290468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:26.221742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:27.338417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:28.136318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:28.913220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:29.754245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:30.555354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:31.401902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:26.325203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:27.439091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:28.241438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:29.026108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:29.865596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:30.648589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:31.511420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:26.767579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:27.547763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:28.342571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:29.148030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:29.990639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:51:30.755213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:51:34.384619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노드아이디위도경도링크아이디권역코드Y좌표X좌표
노드아이디1.0000.1300.1300.0970.0940.1080.050
위도0.1301.0001.0000.1610.1560.1390.075
경도0.1301.0001.0000.1630.1580.1410.079
링크아이디0.0970.1610.1631.0000.9690.7940.851
권역코드0.0940.1560.1580.9691.0000.7890.852
Y좌표0.1080.1390.1410.7940.7891.0000.678
X좌표0.0500.0750.0790.8510.8520.6781.000
2023-12-11T07:51:34.486677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노드아이디위도경도링크아이디권역코드Y좌표X좌표
노드아이디1.000-0.0080.2160.7900.9270.311-0.003
위도-0.0081.000-0.5990.0150.009-0.0470.522
경도0.216-0.5991.0000.2860.2230.615-0.004
링크아이디0.7900.0150.2861.0000.8360.4240.026
권역코드0.9270.0090.2230.8361.0000.353-0.007
Y좌표0.311-0.0470.6150.4240.3531.000-0.138
X좌표-0.0030.522-0.0040.026-0.007-0.1381.000

Missing values

2023-12-11T07:51:31.627556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:51:31.751616image/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.
2023-12-11T07:51:31.929802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

노드아이디정류장아이디위도경도링크아이디권역코드Y좌표X좌표
2932324300757002280013983719.76412714.6032280191000243221499.836425292.624
620632022102022800007042280009023705.586812708.792280264700228212957.315053399052.351454
2118023100411002310004373700.97612726.3092310098100231238951.628390601.565
51680<NA>NaN<NA><NA><NA><NA><NA><NA>
957722200234002220002683528.74112713.2412220074300222219955.36452445.746
279512200164001220002283729.692412703.211220035500122204664.442962443633.055341
65717<NA>NaN<NA><NA><NA><NA><NA><NA>
6365024000165002400001663732.3212740.4272400172500240259483.852448705.466
70095<NA>NaN<NA><NA><NA><NA><NA><NA>
53771<NA>NaN<NA><NA><NA><NA><NA><NA>
노드아이디정류장아이디위도경도링크아이디권역코드Y좌표X좌표
2969123001380012300021512707.6143728.3421230056000123211159.520704441142.224774
4033821401421002140016193700.56212705.9282140382900214208722.913389750.294
3665936400001003645000103635.66612905.3963640023200364386952.901345731.936
55580<NA>NaN<NA><NA><NA><NA><NA><NA>
5965025000041005000002023747.51712731.8412500001700250246678.012476736.535
9451209001930020900022912656.5593723.9332090005800209194854.77927432979.93008
1059122900054002290000503754.38812643.8722290082300229176295.69489352.166
42376216000150021600001512652.2943717.4032160106800216188545.078499420907.715735
2911522400939002240009843726.89612647.3442240117300224181267.82438481.482
60708<NA>NaN<NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

노드아이디위도경도링크아이디권역코드Y좌표X좌표# duplicates
0<NA><NA><NA><NA><NA><NA><NA>4023