Overview

Dataset statistics

Number of variables15
Number of observations10000
Missing cells44985
Missing cells (%)30.0%
Duplicate rows87
Duplicate rows (%)0.9%
Total size in memory1.3 MiB
Average record size in memory140.0 B

Variable types

Numeric8
Categorical2
Text1
Unsupported4

Dataset

Description경기도_도로대장 전산화 시스템_측구
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=L4NRE62L4OE9ENQYA12634063379&infSeq=1

Alerts

Dataset has 87 (0.9%) duplicate rowsDuplicates
위치?시점 is highly overall correlated with 위치?종점High correlation
위치?종점 is highly overall correlated with 위치?시점High correlation
높이?최대 is highly overall correlated with 높이?최소 and 1 other fieldsHigh correlation
높이?최소 is highly overall correlated with 높이?최대 and 1 other fieldsHigh correlation
is highly overall correlated with 높이?최대 and 1 other fieldsHigh correlation
위치?방향 is highly imbalanced (54.4%)Imbalance
비고 has 4985 (49.9%) missing valuesMissing
공간경도시점 has 10000 (100.0%) missing valuesMissing
공간위도시점 has 10000 (100.0%) missing valuesMissing
공간경도종점 has 10000 (100.0%) missing valuesMissing
공간위도종점 has 10000 (100.0%) missing valuesMissing
높이?최소 is highly skewed (γ1 = 24.83652957)Skewed
is highly skewed (γ1 = 20.13194919)Skewed
공간경도시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공간위도시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공간경도종점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공간위도종점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
높이?최대 has 2422 (24.2%) zerosZeros
높이?최소 has 4205 (42.0%) zerosZeros
has 2876 (28.8%) zerosZeros

Reproduction

Analysis started2023-12-10 22:34:24.159552
Analysis finished2023-12-10 22:34:32.700506
Duration8.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

노선번호
Real number (ℝ)

Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean261.5891
Minimum23
Maximum391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:34:32.781358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile56
Q198
median318
Q3356
95-th percentile387
Maximum391
Range368
Interquartile range (IQR)258

Descriptive statistics

Standard deviation126.25384
Coefficient of variation (CV)0.48264183
Kurtosis-1.1119973
Mean261.5891
Median Absolute Deviation (MAD)46
Skewness-0.82104915
Sum2615891
Variance15940.032
MonotonicityNot monotonic
2023-12-11T07:34:32.908608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 580
 
5.8%
98 525
 
5.2%
309 522
 
5.2%
78 466
 
4.7%
387 459
 
4.6%
333 411
 
4.1%
364 349
 
3.5%
70 348
 
3.5%
318 344
 
3.4%
23 307
 
3.1%
Other values (41) 5689
56.9%
ValueCountFrequency (%)
23 307
3.1%
39 28
 
0.3%
56 580
5.8%
57 181
 
1.8%
70 348
3.5%
78 466
4.7%
82 173
 
1.7%
84 49
 
0.5%
86 176
 
1.8%
88 101
 
1.0%
ValueCountFrequency (%)
391 271
2.7%
387 459
4.6%
383 136
 
1.4%
379 40
 
0.4%
376 25
 
0.2%
375 161
 
1.6%
372 235
2.4%
371 281
2.8%
368 154
 
1.5%
367 56
 
0.6%

구간번호
Real number (ℝ)

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1582
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:34:33.325605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q38
95-th percentile14
Maximum99
Range98
Interquartile range (IQR)5

Descriptive statistics

Standard deviation11.995731
Coefficient of variation (CV)1.6758027
Kurtosis47.535498
Mean7.1582
Median Absolute Deviation (MAD)3
Skewness6.6202852
Sum71582
Variance143.89756
MonotonicityNot monotonic
2023-12-11T07:34:33.450140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1606
16.1%
4 1155
11.6%
7 952
9.5%
3 938
9.4%
6 870
8.7%
2 808
8.1%
5 781
7.8%
9 612
 
6.1%
8 598
 
6.0%
10 402
 
4.0%
Other values (16) 1278
12.8%
ValueCountFrequency (%)
1 1606
16.1%
2 808
8.1%
3 938
9.4%
4 1155
11.6%
5 781
7.8%
6 870
8.7%
7 952
9.5%
8 598
 
6.0%
9 612
 
6.1%
10 402
 
4.0%
ValueCountFrequency (%)
99 133
1.3%
97 15
 
0.1%
26 75
0.8%
24 21
 
0.2%
23 2
 
< 0.1%
22 2
 
< 0.1%
21 4
 
< 0.1%
20 12
 
0.1%
18 23
 
0.2%
17 7
 
0.1%

위치?시점
Real number (ℝ)

HIGH CORRELATION 

Distinct6029
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8585164
Minimum0
Maximum20.255
Zeros74
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:34:33.596466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.20995
Q11.7595
median4.0075
Q37.27075
95-th percentile12.05905
Maximum20.255
Range20.255
Interquartile range (IQR)5.51125

Descriptive statistics

Standard deviation3.7818955
Coefficient of variation (CV)0.77840541
Kurtosis0.18809568
Mean4.8585164
Median Absolute Deviation (MAD)2.5925
Skewness0.84338859
Sum48585.164
Variance14.302733
MonotonicityNot monotonic
2023-12-11T07:34:33.766678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 74
 
0.7%
0.03 13
 
0.1%
0.02 13
 
0.1%
0.28 10
 
0.1%
0.16 10
 
0.1%
0.6 10
 
0.1%
3.68 9
 
0.1%
0.09 9
 
0.1%
4.5 9
 
0.1%
5.51 9
 
0.1%
Other values (6019) 9834
98.3%
ValueCountFrequency (%)
0.0 74
0.7%
0.001 6
 
0.1%
0.002 4
 
< 0.1%
0.003 2
 
< 0.1%
0.004 2
 
< 0.1%
0.005 4
 
< 0.1%
0.006 6
 
0.1%
0.007 7
 
0.1%
0.008 3
 
< 0.1%
0.009 7
 
0.1%
ValueCountFrequency (%)
20.255 2
< 0.1%
20.16 1
< 0.1%
20.05 1
< 0.1%
19.75 1
< 0.1%
19.712 1
< 0.1%
19.63 1
< 0.1%
19.5 1
< 0.1%
19.078 1
< 0.1%
18.8 1
< 0.1%
18.79 2
< 0.1%

위치?종점
Real number (ℝ)

HIGH CORRELATION 

Distinct6167
Distinct (%)61.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9685598
Minimum0
Maximum20.385
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:34:33.947874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.32795
Q11.8785
median4.1125
Q37.3765
95-th percentile12.16025
Maximum20.385
Range20.385
Interquartile range (IQR)5.498

Descriptive statistics

Standard deviation3.7815532
Coefficient of variation (CV)0.76109645
Kurtosis0.19489846
Mean4.9685598
Median Absolute Deviation (MAD)2.5775
Skewness0.84470383
Sum49685.598
Variance14.300145
MonotonicityNot monotonic
2023-12-11T07:34:34.083665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.21 13
 
0.1%
3.45 11
 
0.1%
3.52 11
 
0.1%
2.26 10
 
0.1%
0.6 9
 
0.1%
0.3 9
 
0.1%
1.74 9
 
0.1%
0.8 9
 
0.1%
0.2 9
 
0.1%
0.97 9
 
0.1%
Other values (6157) 9901
99.0%
ValueCountFrequency (%)
0.0 6
0.1%
0.009 1
 
< 0.1%
0.011 1
 
< 0.1%
0.013 2
 
< 0.1%
0.014 1
 
< 0.1%
0.015 1
 
< 0.1%
0.016 1
 
< 0.1%
0.018 1
 
< 0.1%
0.022 2
 
< 0.1%
0.023 1
 
< 0.1%
ValueCountFrequency (%)
20.385 1
< 0.1%
20.368 1
< 0.1%
20.323 1
< 0.1%
20.1 1
< 0.1%
20.03 1
< 0.1%
19.722 1
< 0.1%
19.712 1
< 0.1%
19.59 1
< 0.1%
19.54 1
< 0.1%
18.87 1
< 0.1%

위치?방향
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
하행
5042 
상행
4894 
양방향
 
38
중앙
 
15
<NA>
 
11

Length

Max length4
Median length2
Mean length2.006
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row하행
2nd row하행
3rd row하행
4th row상행
5th row하행

Common Values

ValueCountFrequency (%)
하행 5042
50.4%
상행 4894
48.9%
양방향 38
 
0.4%
중앙 15
 
0.1%
<NA> 11
 
0.1%

Length

2023-12-11T07:34:34.229152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:34:34.353153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하행 5042
50.4%
상행 4894
48.9%
양방향 38
 
0.4%
중앙 15
 
0.1%
na 11
 
0.1%

연장
Real number (ℝ)

Distinct3156
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.57155
Minimum0
Maximum5593
Zeros25
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:34:34.466863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q135
median72
Q3139.1775
95-th percentile338.03
Maximum5593
Range5593
Interquartile range (IQR)104.1775

Descriptive statistics

Standard deviation162.72958
Coefficient of variation (CV)1.4328375
Kurtosis233.24333
Mean113.57155
Median Absolute Deviation (MAD)44.5
Skewness10.439485
Sum1135715.5
Variance26480.916
MonotonicityNot monotonic
2023-12-11T07:34:34.590606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 233
 
2.3%
60.0 145
 
1.5%
40.0 131
 
1.3%
20.0 129
 
1.3%
50.0 124
 
1.2%
100.0 105
 
1.1%
80.0 97
 
1.0%
30.0 92
 
0.9%
35.0 83
 
0.8%
70.0 80
 
0.8%
Other values (3146) 8781
87.8%
ValueCountFrequency (%)
0.0 25
0.2%
0.02 1
 
< 0.1%
0.04 1
 
< 0.1%
0.58 1
 
< 0.1%
0.84 1
 
< 0.1%
1.0 4
 
< 0.1%
1.2 1
 
< 0.1%
1.26 1
 
< 0.1%
1.47 1
 
< 0.1%
2.0 8
 
0.1%
ValueCountFrequency (%)
5593.0 1
< 0.1%
4537.0 1
< 0.1%
3098.0 1
< 0.1%
3078.0 1
< 0.1%
2657.0 1
< 0.1%
2366.0 1
< 0.1%
2349.0 1
< 0.1%
2279.98 1
< 0.1%
1955.0 1
< 0.1%
1690.0 1
< 0.1%

종류
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
L형
5055 
V형
1362 
U형
1189 
다이크
964 
기타
 
376
Other values (5)
1054 

Length

Max length4
Median length2
Mean length2.2585
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowV형
2nd rowU형
3rd rowV형
4th rowL형
5th rowV형

Common Values

ValueCountFrequency (%)
L형 5055
50.5%
V형 1362
 
13.6%
U형 1189
 
11.9%
다이크 964
 
9.6%
기타 376
 
3.8%
산마루형 368
 
3.7%
옹벽형 357
 
3.6%
J형측구 191
 
1.9%
토사형 130
 
1.3%
콘크리트 8
 
0.1%

Length

2023-12-11T07:34:34.707386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:34:34.838736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
l형 5055
50.5%
v형 1362
 
13.6%
u형 1189
 
11.9%
다이크 964
 
9.6%
기타 376
 
3.8%
산마루형 368
 
3.7%
옹벽형 357
 
3.6%
j형측구 191
 
1.9%
토사형 130
 
1.3%
콘크리트 8
 
0.1%

높이?최대
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct102
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.186332
Minimum0
Maximum1215
Zeros2422
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:34:34.961609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.15
median0.3
Q30.58
95-th percentile1.2
Maximum1215
Range1215
Interquartile range (IQR)0.43

Descriptive statistics

Standard deviation45.114964
Coefficient of variation (CV)14.158902
Kurtosis365.19395
Mean3.186332
Median Absolute Deviation (MAD)0.21
Skewness18.120509
Sum31863.32
Variance2035.36
MonotonicityNot monotonic
2023-12-11T07:34:35.082617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2422
24.2%
0.2 1723
17.2%
0.5 690
 
6.9%
0.45 664
 
6.6%
0.6 591
 
5.9%
0.3 573
 
5.7%
1.0 466
 
4.7%
0.4 460
 
4.6%
0.65 348
 
3.5%
0.35 327
 
3.3%
Other values (92) 1736
17.4%
ValueCountFrequency (%)
0.0 2422
24.2%
0.05 3
 
< 0.1%
0.1 21
 
0.2%
0.12 1
 
< 0.1%
0.15 194
 
1.9%
0.18 5
 
0.1%
0.19 15
 
0.1%
0.2 1723
17.2%
0.22 1
 
< 0.1%
0.23 1
 
< 0.1%
ValueCountFrequency (%)
1215.0 4
 
< 0.1%
950.0 3
 
< 0.1%
700.0 5
 
0.1%
600.0 18
0.2%
550.0 2
 
< 0.1%
515.0 8
 
0.1%
300.0 2
 
< 0.1%
10.0 3
 
< 0.1%
6.0 2
 
< 0.1%
4.5 27
0.3%

높이?최소
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct78
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.711077
Minimum0
Maximum950
Zeros4205
Zeros (%)42.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:34:35.198652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q30.4
95-th percentile0.8
Maximum950
Range950
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation26.816557
Coefficient of variation (CV)15.672326
Kurtosis723.90425
Mean1.711077
Median Absolute Deviation (MAD)0.2
Skewness24.83653
Sum17110.77
Variance719.12773
MonotonicityNot monotonic
2023-12-11T07:34:35.332374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4205
42.0%
0.2 1533
 
15.3%
0.3 823
 
8.2%
0.6 517
 
5.2%
0.45 515
 
5.1%
0.65 340
 
3.4%
0.5 313
 
3.1%
0.4 257
 
2.6%
0.25 231
 
2.3%
0.15 181
 
1.8%
Other values (68) 1085
 
10.8%
ValueCountFrequency (%)
0.0 4205
42.0%
0.05 6
 
0.1%
0.1 15
 
0.1%
0.15 181
 
1.8%
0.18 1
 
< 0.1%
0.19 15
 
0.1%
0.2 1533
 
15.3%
0.22 63
 
0.6%
0.24 15
 
0.1%
0.25 231
 
2.3%
ValueCountFrequency (%)
950.0 3
 
< 0.1%
700.0 5
 
0.1%
300.0 14
0.1%
200.0 20
0.2%
10.0 3
 
< 0.1%
6.0 2
 
< 0.1%
4.5 26
0.3%
4.0 1
 
< 0.1%
3.0 2
 
< 0.1%
2.5 4
 
< 0.1%


Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct117
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.76377
Minimum0
Maximum1850
Zeros2876
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:34:35.451335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31
95-th percentile1.4
Maximum1850
Range1850
Interquartile range (IQR)1

Descriptive statistics

Standard deviation72.715801
Coefficient of variation (CV)15.264339
Kurtosis436.00494
Mean4.76377
Median Absolute Deviation (MAD)0.5
Skewness20.131949
Sum47637.7
Variance5287.5878
MonotonicityNot monotonic
2023-12-11T07:34:35.570976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2876
28.8%
0.5 2206
22.1%
1.0 606
 
6.1%
0.7 472
 
4.7%
1.07 409
 
4.1%
1.2 405
 
4.0%
0.6 274
 
2.7%
1.15 256
 
2.6%
0.8 232
 
2.3%
1.16 188
 
1.9%
Other values (107) 2076
20.8%
ValueCountFrequency (%)
0.0 2876
28.8%
0.1 1
 
< 0.1%
0.13 13
 
0.1%
0.15 55
 
0.5%
0.18 9
 
0.1%
0.2 128
 
1.3%
0.25 60
 
0.6%
0.28 1
 
< 0.1%
0.3 102
 
1.0%
0.31 2
 
< 0.1%
ValueCountFrequency (%)
1850.0 4
 
< 0.1%
1650.0 8
0.1%
1290.0 2
 
< 0.1%
1260.0 3
 
< 0.1%
900.0 5
 
0.1%
700.0 2
 
< 0.1%
500.0 18
0.2%
10.0 4
 
< 0.1%
8.5 4
 
< 0.1%
5.7 3
 
< 0.1%

비고
Text

MISSING 

Distinct521
Distinct (%)10.4%
Missing4985
Missing (%)49.9%
Memory size156.2 KiB
2023-12-11T07:34:35.850659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length4.1026919
Min length1

Characters and Unicode

Total characters20575
Distinct characters222
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique262 ?
Unique (%)5.2%

Sample

1st rowV1
2nd rowu형 플륨관
3rd rowV1
4th rowV1형
5th rowY1
ValueCountFrequency (%)
0 541
 
10.4%
type-1 434
 
8.4%
l1 344
 
6.6%
v1 261
 
5.0%
d1 173
 
3.3%
보차도경계석 171
 
3.3%
type-2 161
 
3.1%
v2 120
 
2.3%
형식-1 110
 
2.1%
성토부 106
 
2.0%
Other values (488) 2773
53.4%
2023-12-11T07:34:36.207942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2123
 
10.3%
- 1038
 
5.0%
L 965
 
4.7%
934
 
4.5%
0 882
 
4.3%
T 821
 
4.0%
Y 810
 
3.9%
P 809
 
3.9%
E 768
 
3.7%
2 693
 
3.4%
Other values (212) 10732
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7955
38.7%
Uppercase Letter 5628
27.4%
Decimal Number 4642
22.6%
Dash Punctuation 1038
 
5.0%
Other Punctuation 449
 
2.2%
Space Separator 214
 
1.0%
Lowercase Letter 206
 
1.0%
Open Punctuation 202
 
1.0%
Close Punctuation 202
 
1.0%
Math Symbol 38
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
934
 
11.7%
460
 
5.8%
423
 
5.3%
365
 
4.6%
328
 
4.1%
327
 
4.1%
292
 
3.7%
283
 
3.6%
270
 
3.4%
262
 
3.3%
Other values (161) 4011
50.4%
Uppercase Letter
ValueCountFrequency (%)
L 965
17.1%
T 821
14.6%
Y 810
14.4%
P 809
14.4%
E 768
13.6%
V 492
8.7%
D 330
 
5.9%
U 201
 
3.6%
B 124
 
2.2%
O 95
 
1.7%
Other values (12) 213
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 2123
45.7%
0 882
19.0%
2 693
 
14.9%
3 269
 
5.8%
4 254
 
5.5%
5 119
 
2.6%
7 109
 
2.3%
8 92
 
2.0%
6 76
 
1.6%
9 25
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 163
36.3%
/ 131
29.2%
# 87
19.4%
. 64
 
14.3%
: 3
 
0.7%
? 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
e 47
22.8%
y 47
22.8%
p 47
22.8%
t 45
21.8%
x 11
 
5.3%
u 9
 
4.4%
Math Symbol
ValueCountFrequency (%)
= 21
55.3%
~ 17
44.7%
Dash Punctuation
ValueCountFrequency (%)
- 1038
100.0%
Space Separator
ValueCountFrequency (%)
214
100.0%
Open Punctuation
ValueCountFrequency (%)
( 202
100.0%
Close Punctuation
ValueCountFrequency (%)
) 202
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7955
38.7%
Common 6786
33.0%
Latin 5834
28.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
934
 
11.7%
460
 
5.8%
423
 
5.3%
365
 
4.6%
328
 
4.1%
327
 
4.1%
292
 
3.7%
283
 
3.6%
270
 
3.4%
262
 
3.3%
Other values (161) 4011
50.4%
Latin
ValueCountFrequency (%)
L 965
16.5%
T 821
14.1%
Y 810
13.9%
P 809
13.9%
E 768
13.2%
V 492
8.4%
D 330
 
5.7%
U 201
 
3.4%
B 124
 
2.1%
O 95
 
1.6%
Other values (18) 419
7.2%
Common
ValueCountFrequency (%)
1 2123
31.3%
- 1038
15.3%
0 882
13.0%
2 693
 
10.2%
3 269
 
4.0%
4 254
 
3.7%
214
 
3.2%
( 202
 
3.0%
) 202
 
3.0%
, 163
 
2.4%
Other values (13) 746
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12620
61.3%
Hangul 7955
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2123
16.8%
- 1038
 
8.2%
L 965
 
7.6%
0 882
 
7.0%
T 821
 
6.5%
Y 810
 
6.4%
P 809
 
6.4%
E 768
 
6.1%
2 693
 
5.5%
V 492
 
3.9%
Other values (41) 3219
25.5%
Hangul
ValueCountFrequency (%)
934
 
11.7%
460
 
5.8%
423
 
5.3%
365
 
4.6%
328
 
4.1%
327
 
4.1%
292
 
3.7%
283
 
3.6%
270
 
3.4%
262
 
3.3%
Other values (161) 4011
50.4%

공간경도시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

공간위도시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

공간경도종점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

공간위도종점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Interactions

2023-12-11T07:34:31.551469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:25.960083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:26.805465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:27.587002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:28.576550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:29.301901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:30.095044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:30.773706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:31.653213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:26.072910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:26.924135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:27.683996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:28.664166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:29.404125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:30.182008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:30.865155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:31.764167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:26.156539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:27.005230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:27.779204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:28.751236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:29.492668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:30.259245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:30.952732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:31.888867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:26.278963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:27.100088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:28.103924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:28.854246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:29.595331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:30.364536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:31.048363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:31.998155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:26.384613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:27.201365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:28.194423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:28.946944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:29.689377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:30.454026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:31.167874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:32.082181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:26.485382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:27.300506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:28.294389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:29.027253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:29.774901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:30.541012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:31.266297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:32.180200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:26.599838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:27.404414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:28.401404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:29.110849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:29.907551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:30.617686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:31.350709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:32.286165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:26.704958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:27.492453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:28.491689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:29.201817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:30.011326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:30.690879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:34:31.436428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:34:36.304107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선번호구간번호위치?시점위치?종점위치?방향연장종류높이?최대높이?최소
노선번호1.0000.4560.1780.1800.0440.0700.1430.0970.0560.058
구간번호0.4561.0000.1240.1270.0640.1040.1540.0000.0000.000
위치?시점0.1780.1241.0000.9990.0000.0000.1290.0330.0580.022
위치?종점0.1800.1270.9991.0000.0000.0380.1260.0360.0620.026
위치?방향0.0440.0640.0000.0001.0000.0000.1750.0000.0000.000
연장0.0700.1040.0000.0380.0001.0000.0810.0000.0000.000
종류0.1430.1540.1290.1260.1750.0811.0000.1620.2640.180
높이?최대0.0970.0000.0330.0360.0000.0000.1621.0000.9300.972
높이?최소0.0560.0000.0580.0620.0000.0000.2640.9301.0000.949
0.0580.0000.0220.0260.0000.0000.1800.9720.9491.000
2023-12-11T07:34:36.418620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위치?방향종류
위치?방향1.0000.106
종류0.1061.000
2023-12-11T07:34:36.499269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선번호구간번호위치?시점위치?종점연장높이?최대높이?최소위치?방향종류
노선번호1.000-0.0170.0260.022-0.0910.029-0.0220.0640.0280.075
구간번호-0.0171.0000.0140.013-0.0340.0260.0480.0610.0260.093
위치?시점0.0260.0141.0000.996-0.0370.0930.0840.0610.0000.040
위치?종점0.0220.0130.9961.000-0.0070.0890.0790.0580.0000.039
연장-0.091-0.034-0.037-0.0071.000-0.100-0.122-0.0750.0000.039
높이?최대0.0290.0260.0930.089-0.1001.0000.6720.6790.0000.085
높이?최소-0.0220.0480.0840.079-0.1220.6721.0000.6520.0000.112
0.0640.0610.0610.058-0.0750.6790.6521.0000.0000.092
위치?방향0.0280.0260.0000.0000.0000.0000.0000.0001.0000.106
종류0.0750.0930.0400.0390.0390.0850.1120.0920.1061.000

Missing values

2023-12-11T07:34:32.426021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:34:32.615321image/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

노선번호구간번호위치?시점위치?종점위치?방향연장종류높이?최대높이?최소비고공간경도시점공간위도시점공간경도종점공간위도종점
115735637.5477.64하행96.0V형0.450.450.55V1<NA><NA><NA><NA>
17253318100.690.855하행165.0U형0.00.00.0u형 플륨관<NA><NA><NA><NA>
22027313113.4613.883하행423.0V형0.450.451.07V1<NA><NA><NA><NA>
201538313.9744.01상행15.0L형0.390.251.15<NA><NA><NA><NA><NA>
100732362.192.258하행68.0V형0.450.451.07V1형<NA><NA><NA><NA>
19639162.5672.627상행60.0옹벽형0.90.90.8<NA><NA><NA><NA><NA>
7058345100.790.976상행186.0다이크0.00.00.0<NA><NA><NA><NA><NA>
1673132910.750.86상행110.0J형측구0.00.00.0<NA><NA><NA><NA><NA>
1416178910.3110.477하행67.0U형0.750.00.0<NA><NA><NA><NA><NA>
2314431331.9161.94상행24.0기타1.01.01.0Y1<NA><NA><NA><NA>
노선번호구간번호위치?시점위치?종점위치?방향연장종류높이?최대높이?최소비고공간경도시점공간위도시점공간경도종점공간위도종점
21656310111.51611.576하행60.0L형1.01.00.5L2형<NA><NA><NA><NA>
1802031468.0168.05하행35.0L형0.20.20.5<NA><NA><NA><NA><NA>
831833770.290.42상행140.0L형0.30.20.7성토부<NA><NA><NA><NA>
407536824.8244.84하행16.72V형0.60.60.8<NA><NA><NA><NA><NA>
586035911.2241.285하행61.0L형0.00.00.0<NA><NA><NA><NA><NA>
1945030133.113.175상행65.0L형515.0300.01650.0본선<NA><NA><NA><NA>
100238767.767.77하행10.0L형1.210.510.0T1변화구간<NA><NA><NA><NA>
1783898124.7740.199하행141.0다이크0.50.31.15지방도319호선<NA><NA><NA><NA>
1286270106.6666.793상행127.0L형0.20.20.5<NA><NA><NA><NA><NA>
2201931110.9030.95상행43.8L형0.350.20.7TYPE-4,부체도로#2<NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

노선번호구간번호위치?시점위치?종점위치?방향연장종류높이?최대높이?최소비고# duplicates
023112.0312.316하행286.5다이크0.150.150.5<NA>2
12362.1622.21상행48.0V형0.450.451.07V1형2
22362.852.898상행48.0V형0.450.451.07V1형2
32362.8712.933하행62.0V형0.450.451.07V1형2
47020.00.03하행30.0L형0.30.30.85<NA>2
57020.030.307상행277.5다이크0.150.150.5<NA>2
67020.3560.531하행174.5다이크0.150.150.5<NA>2
77020.640.74하행100.0기타0.190.191.1소단측구2
87020.650.8상행150.0L형0.990.990.85<NA>2
97020.770.8하행30.0기타0.190.191.1소단측구2