Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows20
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 20 (0.2%) duplicate rowsDuplicates
구간명 is highly overall correlated with 시점 and 2 other fieldsHigh correlation
시점 is highly overall correlated with 구간명 and 2 other fieldsHigh correlation
종점 is highly overall correlated with 구간명 and 2 other fieldsHigh correlation
수집기관 is highly overall correlated with 구간명 and 2 other fieldsHigh correlation
통행량 has 6152 (61.5%) zerosZeros

Reproduction

Analysis started2024-03-14 08:55:04.387397
Analysis finished2024-03-14 08:55:06.839183
Duration2.45 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
Minimum2024-01-31 00:00:00
Maximum2024-01-31 03:59:00
2024-03-14T17:55:07.020843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:55:07.448457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구간명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
거가대로
4281 
북항로
1776 
을숙도대로
1433 
수림로
1354 
화명대로
1022 

Length

Max length6
Median length4
Mean length3.8571
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row거가대로
2nd row을숙도대로
3rd row을숙도대로
4th row거가대로
5th row북항로

Common Values

ValueCountFrequency (%)
거가대로 4281
42.8%
북항로 1776
17.8%
을숙도대로 1433
 
14.3%
수림로 1354
 
13.5%
화명대로 1022
 
10.2%
르노삼성대로 134
 
1.3%

Length

2024-03-14T17:55:07.802498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:55:08.287092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
거가대로 4281
42.8%
북항로 1776
17.8%
을숙도대로 1433
 
14.3%
수림로 1354
 
13.5%
화명대로 1022
 
10.2%
르노삼성대로 134
 
1.3%

시점
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
거가대교
752 
속성변화점
 
686
울숙도대교
 
584
천성교차로
 
525
가덕해저터널
 
520
Other values (26)
6933 

Length

Max length9
Median length8
Mean length6.1153
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가덕도TG
2nd row60호광장
3rd row울숙도대교
4th row거가대교
5th row부산항대교남측

Common Values

ValueCountFrequency (%)
거가대교 752
 
7.5%
속성변화점 686
 
6.9%
울숙도대교 584
 
5.8%
천성교차로 525
 
5.2%
가덕해저터널 520
 
5.2%
부산항대교북측 370
 
3.7%
가덕도TG 368
 
3.7%
가덕휴게소 364
 
3.6%
북구-금정구 361
 
3.6%
부산항대교남측 358
 
3.6%
Other values (21) 5112
51.1%

Length

2024-03-14T17:55:08.729766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
거가대교 752
 
7.5%
속성변화점 686
 
6.9%
울숙도대교 584
 
5.8%
천성교차로 525
 
5.2%
가덕해저터널 520
 
5.2%
부산항대교북측 370
 
3.7%
가덕도tg 368
 
3.7%
가덕휴게소 364
 
3.6%
북구-금정구 361
 
3.6%
부산항대교남측 358
 
3.6%
Other values (21) 5112
51.1%

종점
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
거가대교
709 
울숙도대교
 
628
속성변화점
 
552
천성교차로
 
539
가덕해저터널
 
531
Other values (27)
7041 

Length

Max length9
Median length8
Mean length6.1499
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row천성교차로
2nd row66호광장
3rd row66호광장
4th row속성변화점
5th row부산저유소삼거리

Common Values

ValueCountFrequency (%)
거가대교 709
 
7.1%
울숙도대교 628
 
6.3%
속성변화점 552
 
5.5%
천성교차로 539
 
5.4%
가덕해저터널 531
 
5.3%
66호광장 368
 
3.7%
부산항대교남측 367
 
3.7%
산성터널동측 363
 
3.6%
북구-금정구 362
 
3.6%
가덕휴게소 359
 
3.6%
Other values (22) 5222
52.2%

Length

2024-03-14T17:55:09.174924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
거가대교 709
 
7.1%
울숙도대교 628
 
6.3%
속성변화점 552
 
5.5%
천성교차로 539
 
5.4%
가덕해저터널 531
 
5.3%
66호광장 368
 
3.7%
부산항대교남측 367
 
3.7%
산성터널동측 363
 
3.6%
북구-금정구 362
 
3.6%
가덕휴게소 359
 
3.6%
Other values (22) 5222
52.2%

수집기관
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
거가대교
4281 
산성터널
2376 
부산항대교
1776 
을숙도대교
1567 

Length

Max length5
Median length4
Mean length4.3343
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row거가대교
2nd row을숙도대교
3rd row을숙도대교
4th row거가대교
5th row부산항대교

Common Values

ValueCountFrequency (%)
거가대교 4281
42.8%
산성터널 2376
23.8%
부산항대교 1776
17.8%
을숙도대교 1567
 
15.7%

Length

2024-03-14T17:55:09.595280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:55:09.922453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
거가대교 4281
42.8%
산성터널 2376
23.8%
부산항대교 1776
17.8%
을숙도대교 1567
 
15.7%

속도
Real number (ℝ)

Distinct88
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.4206
Minimum11
Maximum118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T17:55:10.304143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile40
Q163
median72
Q377
95-th percentile87
Maximum118
Range107
Interquartile range (IQR)14

Descriptive statistics

Standard deviation14.841756
Coefficient of variation (CV)0.21691941
Kurtosis2.6250668
Mean68.4206
Median Absolute Deviation (MAD)7
Skewness-1.1208786
Sum684206
Variance220.27772
MonotonicityNot monotonic
2024-03-14T17:55:10.754175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72 473
 
4.7%
73 462
 
4.6%
75 443
 
4.4%
74 427
 
4.3%
76 414
 
4.1%
77 410
 
4.1%
64 359
 
3.6%
69 340
 
3.4%
71 331
 
3.3%
70 331
 
3.3%
Other values (78) 6010
60.1%
ValueCountFrequency (%)
11 7
 
0.1%
12 12
 
0.1%
13 11
 
0.1%
14 33
0.3%
15 14
 
0.1%
16 24
0.2%
17 21
0.2%
18 35
0.4%
19 21
0.2%
20 27
0.3%
ValueCountFrequency (%)
118 43
0.4%
104 4
 
< 0.1%
103 4
 
< 0.1%
102 2
 
< 0.1%
99 4
 
< 0.1%
97 12
 
0.1%
96 18
0.2%
95 21
0.2%
94 24
0.2%
93 31
0.3%

통행량
Real number (ℝ)

ZEROS 

Distinct86
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4243
Minimum0
Maximum343
Zeros6152
Zeros (%)61.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T17:55:11.162381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile17
Maximum343
Range343
Interquartile range (IQR)10

Descriptive statistics

Standard deviation25.822094
Coefficient of variation (CV)3.478051
Kurtosis60.963983
Mean7.4243
Median Absolute Deviation (MAD)0
Skewness7.287684
Sum74243
Variance666.78055
MonotonicityNot monotonic
2024-03-14T17:55:11.614308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6152
61.5%
10 1411
 
14.1%
15 294
 
2.9%
3 193
 
1.9%
13 170
 
1.7%
4 170
 
1.7%
2 152
 
1.5%
1 147
 
1.5%
11 139
 
1.4%
5 126
 
1.3%
Other values (76) 1046
 
10.5%
ValueCountFrequency (%)
0 6152
61.5%
1 147
 
1.5%
2 152
 
1.5%
3 193
 
1.9%
4 170
 
1.7%
5 126
 
1.3%
6 72
 
0.7%
7 102
 
1.0%
8 47
 
0.5%
9 43
 
0.4%
ValueCountFrequency (%)
343 3
< 0.1%
302 5
0.1%
284 3
< 0.1%
269 7
0.1%
266 4
< 0.1%
265 4
< 0.1%
240 5
0.1%
236 4
< 0.1%
218 6
0.1%
207 3
< 0.1%

Interactions

2024-03-14T17:55:05.636019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:55:05.104838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:55:05.904279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:55:05.364839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T17:55:11.892530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구간명시점종점수집기관속도통행량
구간명1.0000.9920.9851.0000.6890.346
시점0.9921.0000.9841.0000.7520.422
종점0.9850.9841.0001.0000.7490.421
수집기관1.0001.0001.0001.0000.6120.377
속도0.6890.7520.7490.6121.0000.266
통행량0.3460.4220.4210.3770.2661.000
2024-03-14T17:55:12.167769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구간명시점종점수집기관
구간명1.0000.9490.9181.000
시점0.9491.0000.7420.999
종점0.9180.7421.0000.999
수집기관1.0000.9990.9991.000
2024-03-14T17:55:12.428940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
속도통행량구간명시점종점수집기관
속도1.000-0.1170.4530.3780.3770.415
통행량-0.1171.0000.1900.1620.1620.234
구간명0.4530.1901.0000.9490.9181.000
시점0.3780.1620.9491.0000.7420.999
종점0.3770.1620.9180.7421.0000.999
수집기관0.4150.2341.0000.9990.9991.000

Missing values

2024-03-14T17:55:06.275898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T17:55:06.667741image/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
73662024-01-31 02:10:00거가대로가덕도TG천성교차로거가대교680
44812024-01-31 01:19:00을숙도대로60호광장66호광장을숙도대교443
123982024-01-31 03:40:00을숙도대로울숙도대교66호광장을숙도대교300
82102024-01-31 02:25:00거가대로거가대교속성변화점거가대교740
79542024-01-31 02:20:00북항로부산항대교남측부산저유소삼거리부산항대교720
17792024-01-31 00:31:00거가대로속성변화점거가대교거가대교780
89042024-01-31 02:37:00거가대로천성교차로천성교차로거가대교720
122632024-01-31 03:37:00북항로감만동254-16CU부산항대교760
42862024-01-31 01:15:00거가대로거가대교장목터널거가대교750
53972024-01-31 01:35:00거가대로거가대교장목터널거가대교730
가공일시구간명시점종점수집기관속도통행량
77562024-01-31 02:17:00거가대로가덕해저터널가덕해양파크휴게소거가대교660
1702024-01-31 00:03:00을숙도대로울숙도대교을숙도대교TG을숙도대교638
128422024-01-31 03:48:00거가대로거가대교속성변화점거가대교700
103722024-01-31 03:03:00수림로장전동241-10장전동241-11산성터널6910
33412024-01-31 00:58:00북항로감만동254-16부산항대교북측부산항대교720
23712024-01-31 00:41:00화명대로북구-금정구산성터널서측산성터널8626
76012024-01-31 02:14:00거가대로거가대교사장교중죽도터널거가대교760
53272024-01-31 01:34:00거가대로가덕해양파크휴게소가덕해저터널거가대교790
73262024-01-31 02:09:00거가대로장목터널거가대교거가대교740
58902024-01-31 01:44:00거가대로속성변화점가덕휴게소거가대교720

Duplicate rows

Most frequently occurring

가공일시구간명시점종점수집기관속도통행량# duplicates
02024-01-31 00:30:00거가대로거가대교거가대교거가대교7302
12024-01-31 00:31:00거가대로거가대교거가대교거가대교7302
22024-01-31 00:50:00거가대로가덕해저터널가덕해저터널거가대교7002
32024-01-31 00:51:00거가대로가덕해저터널가덕해저터널거가대교7002
42024-01-31 00:52:00거가대로가덕해저터널가덕해저터널거가대교7002
52024-01-31 00:53:00거가대로가덕해저터널가덕해저터널거가대교7002
62024-01-31 01:00:00거가대로가덕해저터널가덕해저터널거가대교7602
72024-01-31 01:03:00거가대로가덕해저터널가덕해저터널거가대교7602
82024-01-31 01:04:00거가대로가덕해저터널가덕해저터널거가대교7602
92024-01-31 01:15:00거가대로거가대교거가대교거가대교7102