Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows19
Duplicate rows (%)0.2%
Total size in memory644.5 KiB
Average record size in memory66.0 B

Variable types

DateTime1
Categorical4
Numeric2

Dataset

Description부산광역시 일부 교량(다리)관리기관, 등대콜택시 운행, 국도관리청 정보를 교통정보서비스센터와 연계하여 수집된 정보를 가공한 교통정보(가공일시, 구간명, 시점, 종점, 수집기관, 속도, 통행량)를 제공합니다.
Author부산광역시
URLhttps://www.data.go.kr/data/15041720/fileData.do

Alerts

Dataset has 19 (0.2%) duplicate rowsDuplicates
시점 is highly overall correlated with 구간명 and 2 other fieldsHigh correlation
구간명 is highly overall correlated with 시점 and 2 other fieldsHigh correlation
수집기관 is highly overall correlated with 구간명 and 2 other fieldsHigh correlation
종점 is highly overall correlated with 구간명 and 2 other fieldsHigh correlation
통행량 has 5078 (50.8%) zerosZeros

Reproduction

Analysis started2024-04-21 01:08:41.921986
Analysis finished2024-04-21 01:08:44.156829
Duration2.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가공일시
Date

Distinct240
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-03-31 00:00:00
Maximum2024-03-31 03:59:00
2024-04-21T10:08:44.230791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:08:44.347448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구간명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
거가대로
3390 
북항로
1562 
을숙도대로
1540 
수림로
1171 
화명대로
921 
Other values (5)
1416 

Length

Max length8
Median length6
Mean length3.9778
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수림로
2nd row수림로
3rd row감천로
4th row거가대로
5th row화명대로

Common Values

ValueCountFrequency (%)
거가대로 3390
33.9%
북항로 1562
15.6%
을숙도대로 1540
15.4%
수림로 1171
 
11.7%
화명대로 921
 
9.2%
천해로13번나길 317
 
3.2%
만년로 316
 
3.2%
감천로 315
 
3.1%
충무대로 301
 
3.0%
르노삼성대로 167
 
1.7%

Length

2024-04-21T10:08:44.458876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:08:44.567939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
거가대로 3390
33.9%
북항로 1562
15.6%
을숙도대로 1540
15.4%
수림로 1171
 
11.7%
화명대로 921
 
9.2%
천해로13번나길 317
 
3.2%
만년로 316
 
3.2%
감천로 315
 
3.1%
충무대로 301
 
3.0%
르노삼성대로 167
 
1.7%

시점
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
거가대교
 
634
속성변화점
 
611
천마터널
 
605
울숙도대교
 
559
천성교차로
 
473
Other values (30)
7118 

Length

Max length9
Median length7
Mean length6.034
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장전동241-11
2nd row금정농협장전동지점
3rd row천마터널
4th row거가대교
5th row화명지하차도동측

Common Values

ValueCountFrequency (%)
거가대교 634
 
6.3%
속성변화점 611
 
6.1%
천마터널 605
 
6.0%
울숙도대교 559
 
5.6%
천성교차로 473
 
4.7%
가덕해저터널 450
 
4.5%
사하구-서구 328
 
3.3%
감천지하차도 321
 
3.2%
가덕도TG 319
 
3.2%
66호광장 318
 
3.2%
Other values (25) 5382
53.8%

Length

2024-04-21T10:08:44.691562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
거가대교 634
 
6.3%
속성변화점 611
 
6.1%
천마터널 605
 
6.0%
울숙도대교 559
 
5.6%
천성교차로 473
 
4.7%
가덕해저터널 450
 
4.5%
사하구-서구 328
 
3.3%
감천지하차도 321
 
3.2%
가덕도tg 319
 
3.2%
66호광장 318
 
3.2%
Other values (25) 5382
53.8%

종점
Categorical

HIGH CORRELATION 

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
천마터널
 
644
울숙도대교
 
530
천성교차로
 
487
거가대교
 
478
속성변화점
 
464
Other values (32)
7397 

Length

Max length9
Median length7
Mean length6.0677
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장전동241-10
2nd row장전교서측
3rd row감천지하차도
4th row거가대교
5th row화명지하차도서측

Common Values

ValueCountFrequency (%)
천마터널 644
 
6.4%
울숙도대교 530
 
5.3%
천성교차로 487
 
4.9%
거가대교 478
 
4.8%
속성변화점 464
 
4.6%
가덕해저터널 428
 
4.3%
가덕해양파크휴게소 322
 
3.2%
CU 321
 
3.2%
부산항대교남측 316
 
3.2%
북구-금정구 315
 
3.1%
Other values (27) 5695
57.0%

Length

2024-04-21T10:08:44.808847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
천마터널 644
 
6.4%
울숙도대교 530
 
5.3%
천성교차로 487
 
4.9%
거가대교 478
 
4.8%
속성변화점 464
 
4.6%
가덕해저터널 428
 
4.3%
가덕해양파크휴게소 322
 
3.2%
cu 321
 
3.2%
부산항대교남측 316
 
3.2%
북구-금정구 315
 
3.1%
Other values (27) 5695
57.0%

수집기관
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
거가대교
3390 
산성터널
2092 
부산항대교
1562 
천마산터널
1549 
을숙도대교
1407 

Length

Max length5
Median length4
Mean length4.4518
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row산성터널
2nd row산성터널
3rd row천마산터널
4th row거가대교
5th row산성터널

Common Values

ValueCountFrequency (%)
거가대교 3390
33.9%
산성터널 2092
20.9%
부산항대교 1562
15.6%
천마산터널 1549
15.5%
을숙도대교 1407
14.1%

Length

2024-04-21T10:08:44.916076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:08:45.003329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
거가대교 3390
33.9%
산성터널 2092
20.9%
부산항대교 1562
15.6%
천마산터널 1549
15.5%
을숙도대교 1407
14.1%

속도
Real number (ℝ)

Distinct84
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.5143
Minimum11
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:08:45.108127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile45
Q165
median74
Q378
95-th percentile86
Maximum108
Range97
Interquartile range (IQR)13

Descriptive statistics

Standard deviation13.082045
Coefficient of variation (CV)0.1855233
Kurtosis3.2078557
Mean70.5143
Median Absolute Deviation (MAD)6
Skewness-1.4999428
Sum705143
Variance171.13991
MonotonicityNot monotonic
2024-04-21T10:08:45.220209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75 624
 
6.2%
76 589
 
5.9%
77 541
 
5.4%
78 533
 
5.3%
74 466
 
4.7%
79 445
 
4.5%
80 398
 
4.0%
72 394
 
3.9%
73 377
 
3.8%
70 375
 
3.8%
Other values (74) 5258
52.6%
ValueCountFrequency (%)
11 2
 
< 0.1%
13 5
 
0.1%
14 16
0.2%
15 21
0.2%
16 18
0.2%
17 8
 
0.1%
18 13
0.1%
19 28
0.3%
20 14
0.1%
21 9
 
0.1%
ValueCountFrequency (%)
108 3
 
< 0.1%
101 4
 
< 0.1%
100 2
 
< 0.1%
99 5
 
0.1%
98 9
 
0.1%
97 14
0.1%
96 4
 
< 0.1%
95 11
0.1%
94 2
 
< 0.1%
93 25
0.2%

통행량
Real number (ℝ)

ZEROS 

Distinct91
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8917
Minimum0
Maximum359
Zeros5078
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:08:45.334174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312
95-th percentile29
Maximum359
Range359
Interquartile range (IQR)12

Descriptive statistics

Standard deviation21.071463
Coefficient of variation (CV)2.3697902
Kurtosis99.597955
Mean8.8917
Median Absolute Deviation (MAD)0
Skewness8.3328181
Sum88917
Variance444.00657
MonotonicityNot monotonic
2024-04-21T10:08:45.484252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5078
50.8%
10 906
 
9.1%
13 354
 
3.5%
15 290
 
2.9%
11 229
 
2.3%
20 228
 
2.3%
5 209
 
2.1%
6 179
 
1.8%
12 164
 
1.6%
8 157
 
1.6%
Other values (81) 2206
22.1%
ValueCountFrequency (%)
0 5078
50.8%
1 76
 
0.8%
2 95
 
0.9%
3 134
 
1.3%
4 130
 
1.3%
5 209
 
2.1%
6 179
 
1.8%
7 146
 
1.5%
8 157
 
1.6%
9 129
 
1.3%
ValueCountFrequency (%)
359 7
0.1%
305 4
< 0.1%
230 3
 
< 0.1%
229 8
0.1%
225 3
 
< 0.1%
218 6
0.1%
194 6
0.1%
174 5
0.1%
147 3
 
< 0.1%
146 8
0.1%

Interactions

2024-04-21T10:08:43.797875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:08:43.484499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:08:43.885175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:08:43.606570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:08:45.593143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구간명시점종점수집기관속도통행량
구간명1.0000.9760.9720.9990.8300.274
시점0.9761.0000.9881.0000.7920.364
종점0.9720.9881.0001.0000.8020.406
수집기관0.9991.0001.0001.0000.7050.311
속도0.8300.7920.8020.7051.0000.266
통행량0.2740.3640.4060.3110.2661.000
2024-04-21T10:08:45.694621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시점구간명수집기관종점
시점1.0000.8210.9980.758
구간명0.8211.0000.9580.821
수집기관0.9980.9581.0000.998
종점0.7580.8210.9981.000
2024-04-21T10:08:45.776726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
속도통행량구간명시점종점수집기관
속도1.000-0.0310.3960.4120.4320.368
통행량-0.0311.0000.1280.1410.1590.185
구간명0.3960.1281.0000.8210.8210.958
시점0.4120.1410.8211.0000.7580.998
종점0.4320.1590.8210.7581.0000.998
수집기관0.3680.1850.9580.9980.9981.000

Missing values

2024-04-21T10:08:44.001359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:08:44.108294image/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

가공일시구간명시점종점수집기관속도통행량
132502024-03-31 03:23:00수림로장전동241-11장전동241-10산성터널6520
105882024-03-31 02:42:00수림로금정농협장전동지점장전교서측산성터널6810
146172024-03-31 03:45:00감천로천마터널감천지하차도천마산터널705
50292024-03-31 01:17:00거가대로거가대교거가대교거가대교770
31772024-03-31 00:48:00화명대로화명지하차도동측화명지하차도서측산성터널7710
122852024-03-31 03:08:00수림로장전동241-10산성터널동측산성터널5510
87822024-03-31 02:15:00르노삼성대로울숙도대교을숙도대교을숙도대교230
69942024-03-31 01:47:00북항로부산저유소삼거리부산항대교남측부산항대교640
96002024-03-31 02:27:00거가대로거가대교거가대교거가대교770
63462024-03-31 01:37:00화명대로산성터널동측북구-금정구산성터널8315
가공일시구간명시점종점수집기관속도통행량
83882024-03-31 02:08:00천해로13번나길사하구-서구천마터널천마산터널7415
55582024-03-31 01:25:00북항로부산항대교남측부산저유소삼거리부산항대교720
67692024-03-31 01:44:00거가대로속성변화점거가대교거가대교770
33652024-03-31 00:51:00화명대로산성터널서측북구-금정구산성터널8516
20672024-03-31 00:31:00천해로13번나길사하구-서구천마터널천마산터널7322
112462024-03-31 02:52:00화명대로화명지하차도서측화명지하차도동측산성터널5913
102232024-03-31 02:37:00을숙도대로66호광장울숙도대교을숙도대교615
34112024-03-31 00:52:00거가대로가덕해저터널가덕해저터널거가대교780
89262024-03-31 02:17:00거가대로속성변화점가덕도TG거가대교480
101602024-03-31 02:36:00을숙도대로울숙도대교을숙도대교TG을숙도대교9210

Duplicate rows

Most frequently occurring

가공일시구간명시점종점수집기관속도통행량# duplicates
02024-03-31 00:02:00거가대로거가대교거가대교거가대교7402
12024-03-31 00:03:00거가대로거가대교거가대교거가대교7402
22024-03-31 00:10:00거가대로거가대교거가대교거가대교7902
32024-03-31 00:14:00거가대로거가대교거가대교거가대교7902
42024-03-31 00:35:00거가대로거가대교거가대교거가대교7702
52024-03-31 00:39:00거가대로거가대교거가대교거가대교7702
62024-03-31 00:57:00거가대로거가대교거가대교거가대교7602
72024-03-31 01:15:00거가대로거가대교거가대교거가대교7702
82024-03-31 01:19:00거가대로거가대교거가대교거가대교7702
92024-03-31 01:34:00거가대로거가대교거가대교거가대교7902