Overview

Dataset statistics

Number of variables14
Number of observations25
Missing cells125
Missing cells (%)35.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory130.3 B

Variable types

Numeric7
Categorical2
Unsupported5

Dataset

Description경기도_도로대장 전산화 시스템_오르막 차로
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=Z4MXP6S7Z8W90A564IV833961513&infSeq=1

Alerts

노선번호 is highly overall correlated with 폭원 and 1 other fieldsHigh correlation
구간번호 is highly overall correlated with 차로수High correlation
위치 is highly overall correlated with 위치_종점 and 1 other fieldsHigh correlation
위치_종점 is highly overall correlated with 위치 and 1 other fieldsHigh correlation
연장 is highly overall correlated with 폭원High correlation
폭원 is highly overall correlated with 노선번호 and 4 other fieldsHigh correlation
차로수 is highly overall correlated with 노선번호 and 2 other fieldsHigh correlation
공간경도시점 has 25 (100.0%) missing valuesMissing
공간위도시점 has 25 (100.0%) missing valuesMissing
공간경도종점 has 25 (100.0%) missing valuesMissing
공간위도종점 has 25 (100.0%) missing valuesMissing
비고 has 25 (100.0%) missing valuesMissing
위치_종점 has unique valuesUnique
경사 has unique valuesUnique
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
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported
위치 has 1 (4.0%) zerosZeros
폭원 has 1 (4.0%) zerosZeros
경사 has 1 (4.0%) zerosZeros

Reproduction

Analysis started2023-12-10 22:57:49.371602
Analysis finished2023-12-10 22:57:55.279699
Duration5.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

노선번호
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean284.4
Minimum23
Maximum379
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T07:57:55.332317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile34
Q1318
median318
Q3337
95-th percentile337
Maximum379
Range356
Interquartile range (IQR)19

Descriptive statistics

Standard deviation105.81233
Coefficient of variation (CV)0.37205462
Kurtosis2.1936344
Mean284.4
Median Absolute Deviation (MAD)19
Skewness-1.9369695
Sum7110
Variance11196.25
MonotonicityNot monotonic
2023-12-11T07:57:55.467605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
337 10
40.0%
318 7
28.0%
23 2
 
8.0%
78 2
 
8.0%
379 1
 
4.0%
302 1
 
4.0%
309 1
 
4.0%
322 1
 
4.0%
ValueCountFrequency (%)
23 2
 
8.0%
78 2
 
8.0%
302 1
 
4.0%
309 1
 
4.0%
318 7
28.0%
322 1
 
4.0%
337 10
40.0%
379 1
 
4.0%
ValueCountFrequency (%)
379 1
 
4.0%
337 10
40.0%
322 1
 
4.0%
318 7
28.0%
309 1
 
4.0%
302 1
 
4.0%
78 2
 
8.0%
23 2
 
8.0%

구간번호
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.76
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T07:57:55.581363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q16
median7
Q39
95-th percentile13
Maximum13
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.2822756
Coefficient of variation (CV)0.42297366
Kurtosis-0.10167582
Mean7.76
Median Absolute Deviation (MAD)2
Skewness0.20045392
Sum194
Variance10.773333
MonotonicityNot monotonic
2023-12-11T07:57:55.707668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
7 9
36.0%
13 5
20.0%
5 3
 
12.0%
6 2
 
8.0%
9 2
 
8.0%
2 1
 
4.0%
1 1
 
4.0%
10 1
 
4.0%
8 1
 
4.0%
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
5 3
 
12.0%
6 2
 
8.0%
7 9
36.0%
8 1
 
4.0%
9 2
 
8.0%
10 1
 
4.0%
13 5
20.0%
ValueCountFrequency (%)
13 5
20.0%
10 1
 
4.0%
9 2
 
8.0%
8 1
 
4.0%
7 9
36.0%
6 2
 
8.0%
5 3
 
12.0%
2 1
 
4.0%
1 1
 
4.0%

위치
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6984
Minimum0
Maximum11.01
Zeros1
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T07:57:55.823032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.352
Q12.73
median4.505
Q36.4
95-th percentile9.392
Maximum11.01
Range11.01
Interquartile range (IQR)3.67

Descriptive statistics

Standard deviation2.8421165
Coefficient of variation (CV)0.60491156
Kurtosis-0.43115355
Mean4.6984
Median Absolute Deviation (MAD)1.895
Skewness0.479827
Sum117.46
Variance8.0776262
MonotonicityNot monotonic
2023-12-11T07:57:55.971280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
6.51 2
 
8.0%
4.6 1
 
4.0%
2.73 1
 
4.0%
3.074 1
 
4.0%
9.54 1
 
4.0%
8.8 1
 
4.0%
8.49 1
 
4.0%
6.2 1
 
4.0%
1.625 1
 
4.0%
1.295 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
0.0 1
4.0%
1.295 1
4.0%
1.58 1
4.0%
1.625 1
4.0%
1.68 1
4.0%
2.3 1
4.0%
2.73 1
4.0%
2.8 1
4.0%
2.971 1
4.0%
3.074 1
4.0%
ValueCountFrequency (%)
11.01 1
4.0%
9.54 1
4.0%
8.8 1
4.0%
8.49 1
4.0%
6.51 2
8.0%
6.4 1
4.0%
6.2 1
4.0%
6.18 1
4.0%
5.8 1
4.0%
5.64 1
4.0%

위치_종점
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.086
Minimum0.235
Maximum11.655
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T07:57:56.127062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.235
5-th percentile1.648
Q13.154
median4.72
Q36.8
95-th percentile9.802
Maximum11.655
Range11.42
Interquartile range (IQR)3.646

Descriptive statistics

Standard deviation2.9006557
Coefficient of variation (CV)0.5703216
Kurtosis-0.34223125
Mean5.086
Median Absolute Deviation (MAD)1.92
Skewness0.47537644
Sum127.15
Variance8.4138033
MonotonicityNot monotonic
2023-12-11T07:57:56.289186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
4.85 1
 
4.0%
0.235 1
 
4.0%
4.136 1
 
4.0%
9.97 1
 
4.0%
9.13 1
 
4.0%
8.8 1
 
4.0%
6.97 1
 
4.0%
6.3 1
 
4.0%
1.895 1
 
4.0%
1.625 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
0.235 1
4.0%
1.625 1
4.0%
1.74 1
4.0%
1.82 1
4.0%
1.895 1
4.0%
2.8 1
4.0%
3.154 1
4.0%
3.32 1
4.0%
3.392 1
4.0%
3.56 1
4.0%
ValueCountFrequency (%)
11.655 1
4.0%
9.97 1
4.0%
9.13 1
4.0%
8.8 1
4.0%
7.598 1
4.0%
6.97 1
4.0%
6.8 1
4.0%
6.52 1
4.0%
6.3 1
4.0%
6.18 1
4.0%

위치?방향
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
하행
13 
상행
12 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
하행 13
52.0%
상행 12
48.0%

Length

2023-12-11T07:57:56.430054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:57:56.528225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하행 13
52.0%
상행 12
48.0%

공간경도시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

공간위도시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

공간경도종점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

공간위도종점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

연장
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean391.5864
Minimum140
Maximum1088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T07:57:56.623295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile160
Q1240
median330
Q3430
95-th percentile978.328
Maximum1088
Range948
Interquartile range (IQR)190

Descriptive statistics

Standard deviation240.21347
Coefficient of variation (CV)0.6134367
Kurtosis3.9063769
Mean391.5864
Median Absolute Deviation (MAD)95
Skewness1.9307971
Sum9789.66
Variance57702.51
MonotonicityNot monotonic
2023-12-11T07:57:56.752074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
160.0 2
 
8.0%
330.0 2
 
8.0%
250.0 1
 
4.0%
421.0 1
 
4.0%
1061.66 1
 
4.0%
430.0 1
 
4.0%
310.0 1
 
4.0%
460.0 1
 
4.0%
200.0 1
 
4.0%
270.0 1
 
4.0%
Other values (13) 13
52.0%
ValueCountFrequency (%)
140.0 1
4.0%
160.0 2
8.0%
200.0 1
4.0%
215.0 1
4.0%
235.0 1
4.0%
240.0 1
4.0%
250.0 1
4.0%
270.0 1
4.0%
280.0 1
4.0%
310.0 1
4.0%
ValueCountFrequency (%)
1088.0 1
4.0%
1061.66 1
4.0%
645.0 1
4.0%
520.0 1
4.0%
500.0 1
4.0%
460.0 1
4.0%
430.0 1
4.0%
424.0 1
4.0%
421.0 1
4.0%
400.0 1
4.0%

차로수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2
14 
1
6 
4
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row4
3rd row4
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 14
56.0%
1 6
24.0%
4 5
 
20.0%

Length

2023-12-11T07:57:56.898340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:57:57.024839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 14
56.0%
1 6
24.0%
4 5
 
20.0%

폭원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.15
Minimum0
Maximum20
Zeros1
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T07:57:57.144475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.21
Q13.5
median10.5
Q312
95-th percentile19.7
Maximum20
Range20
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation5.5701212
Coefficient of variation (CV)0.54878041
Kurtosis-0.52667733
Mean10.15
Median Absolute Deviation (MAD)1.5
Skewness0.053222598
Sum253.75
Variance31.02625
MonotonicityNot monotonic
2023-12-11T07:57:57.259079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
12.0 8
32.0%
10.5 5
20.0%
3.5 3
 
12.0%
18.5 2
 
8.0%
20.0 2
 
8.0%
3.2 1
 
4.0%
3.3 1
 
4.0%
8.0 1
 
4.0%
0.0 1
 
4.0%
3.25 1
 
4.0%
ValueCountFrequency (%)
0.0 1
 
4.0%
3.2 1
 
4.0%
3.25 1
 
4.0%
3.3 1
 
4.0%
3.5 3
 
12.0%
8.0 1
 
4.0%
10.5 5
20.0%
12.0 8
32.0%
18.5 2
 
8.0%
20.0 2
 
8.0%
ValueCountFrequency (%)
20.0 2
 
8.0%
18.5 2
 
8.0%
12.0 8
32.0%
10.5 5
20.0%
8.0 1
 
4.0%
3.5 3
 
12.0%
3.3 1
 
4.0%
3.25 1
 
4.0%
3.2 1
 
4.0%
0.0 1
 
4.0%

경사
Real number (ℝ)

UNIQUE  ZEROS 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4636
Minimum-10
Maximum14
Zeros1
Zeros (%)4.0%
Negative1
Negative (%)4.0%
Memory size357.0 B
2023-12-11T07:57:57.379812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-10
5-th percentile0.142
Q13.25
median4.78
Q36.28
95-th percentile7.912
Maximum14
Range24
Interquartile range (IQR)3.03

Descriptive statistics

Standard deviation4.0752759
Coefficient of variation (CV)0.91300205
Kurtosis6.8815791
Mean4.4636
Median Absolute Deviation (MAD)1.53
Skewness-1.4585502
Sum111.59
Variance16.607874
MonotonicityNot monotonic
2023-12-11T07:57:57.519336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
-10.0 1
 
4.0%
5.88 1
 
4.0%
6.28 1
 
4.0%
6.16 1
 
4.0%
5.9 1
 
4.0%
5.5 1
 
4.0%
4.78 1
 
4.0%
3.56 1
 
4.0%
7.0 1
 
4.0%
6.9 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
-10.0 1
4.0%
0.0 1
4.0%
0.71 1
4.0%
2.5 1
4.0%
2.87 1
4.0%
3.18 1
4.0%
3.25 1
4.0%
3.32 1
4.0%
3.56 1
4.0%
3.75 1
4.0%
ValueCountFrequency (%)
14.0 1
4.0%
7.92 1
4.0%
7.88 1
4.0%
7.0 1
4.0%
6.9 1
4.0%
6.53 1
4.0%
6.28 1
4.0%
6.16 1
4.0%
5.9 1
4.0%
5.88 1
4.0%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

Interactions

2023-12-11T07:57:53.834779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:49.712535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:50.343958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:50.947227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:51.657841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:52.346920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:53.000779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:53.931177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:49.795565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:50.430258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:51.022271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:51.759704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:52.464257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:53.155936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:54.056427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:49.881205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:50.502275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:51.100857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:51.862707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:52.548015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:53.269057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:54.138484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:49.989682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:50.584795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:51.201710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:51.952255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:52.627871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:53.371031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:54.242363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:50.090057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:50.685535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:51.325903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:52.036172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:52.728368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:53.498968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:54.344050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:50.164761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:50.763427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:51.436930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:52.133405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:52.806656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:53.612272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:54.458451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:50.269676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:50.873726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:51.573242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:52.252368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:52.906826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:57:53.737983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:57:57.660015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선번호구간번호위치위치_종점위치?방향연장차로수폭원경사
노선번호1.0000.9170.6650.8470.1180.4300.5910.6920.855
구간번호0.9171.0000.7290.7570.3440.3610.7910.8880.765
위치0.6650.7291.0000.9480.1370.4810.7910.7110.522
위치_종점0.8470.7570.9481.0000.4940.5580.6340.5660.520
위치?방향0.1180.3440.1370.4941.0000.0000.0280.4010.377
연장0.4300.3610.4810.5580.0001.0000.4800.0000.000
차로수0.5910.7910.7910.6340.0280.4801.0001.0000.649
폭원0.6920.8880.7110.5660.4010.0001.0001.0000.893
경사0.8550.7650.5220.5200.3770.0000.6490.8931.000
2023-12-11T07:57:57.779848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위치?방향차로수
위치?방향1.0000.000
차로수0.0001.000
2023-12-11T07:57:57.861543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선번호구간번호위치위치_종점연장폭원경사위치?방향차로수
노선번호1.000-0.220-0.373-0.381-0.4220.585-0.3620.1070.511
구간번호-0.2201.0000.3860.367-0.019-0.2630.3130.2060.582
위치-0.3730.3861.0000.9970.326-0.587-0.2160.0000.410
위치_종점-0.3810.3670.9971.0000.355-0.595-0.1930.2840.381
연장-0.422-0.0190.3260.3551.000-0.5000.1490.0000.260
폭원0.585-0.263-0.587-0.595-0.5001.0000.0900.2800.953
경사-0.3620.313-0.216-0.1930.1490.0901.0000.2300.303
위치?방향0.1070.2060.0000.2840.0000.2800.2301.0000.000
차로수0.5110.5820.4100.3810.2600.9530.3030.0001.000

Missing values

2023-12-11T07:57:54.643639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:57:55.197209image/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

노선번호구간번호위치위치_종점위치?방향공간경도시점공간위도시점공간경도종점공간위도종점연장차로수폭원경사비고
037954.64.85하행<NA><NA><NA><NA>250.013.5-10.0<NA>
133760.00.235하행<NA><NA><NA><NA>235.0418.55.88<NA>
233761.681.82하행<NA><NA><NA><NA>140.0418.52.5<NA>
333771.581.74상행<NA><NA><NA><NA>160.0212.02.87<NA>
433772.32.8상행<NA><NA><NA><NA>500.0212.03.32<NA>
533772.83.32상행<NA><NA><NA><NA>520.0212.06.53<NA>
633773.323.56상행<NA><NA><NA><NA>240.0212.03.25<NA>
733773.94.18상행<NA><NA><NA><NA>280.0212.04.66<NA>
833775.645.8하행<NA><NA><NA><NA>160.0212.04.0<NA>
933775.86.18하행<NA><NA><NA><NA>380.0212.03.18<NA>
노선번호구간번호위치위치_종점위치?방향공간경도시점공간위도시점공간경도종점공간위도종점연장차로수폭원경사비고
15302104.5054.72상행<NA><NA><NA><NA>215.028.014.0<NA>
1630986.46.8상행<NA><NA><NA><NA>400.040.00.71<NA>
1731851.2951.625하행<NA><NA><NA><NA>330.0420.06.9<NA>
1831851.6251.895하행<NA><NA><NA><NA>270.0420.07.0<NA>
19318136.26.3상행<NA><NA><NA><NA>200.0210.53.56<NA>
20318136.516.97상행<NA><NA><NA><NA>460.0210.54.78<NA>
21318138.498.8하행<NA><NA><NA><NA>310.0210.55.5<NA>
22318138.89.13하행<NA><NA><NA><NA>330.0210.55.9<NA>
23318139.549.97하행<NA><NA><NA><NA>430.0210.56.16<NA>
2432273.0744.136하행<NA><NA><NA><NA>1061.6613.256.28<NA>