Overview

Dataset statistics

Number of variables3
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows4
Duplicate rows (%)< 0.1%
Total size in memory322.3 KiB
Average record size in memory33.0 B

Variable types

DateTime1
Text1
Numeric1

Dataset

Description부산광역시 교통정보서비스센터에서 운영중인 교통정보수집장치(DSRC)를 통해 수집한 DSRC구간별 가공된 교통정보 현황(가공일시, 구간명, 속도)을 제공합니다.
Author부산광역시
URLhttps://www.data.go.kr/data/15041717/fileData.do

Alerts

Dataset has 4 (< 0.1%) duplicate rowsDuplicates

Reproduction

Analysis started2024-04-21 01:08:21.393589
Analysis finished2024-04-21 01:08:22.736460
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가공일시
Date

Distinct96
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-03-31 00:00:00
Maximum2024-03-31 23:45:00
2024-04-21T10:08:22.798927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:08:22.902925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구간명
Text

Distinct145
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:08:23.082265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length14.2591
Min length8

Characters and Unicode

Total characters142591
Distinct characters154
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowATMSD 연산교차로- 남문구사거리
2nd row개좌터널출구-곰내터널입구
3rd row괴정교차로 - 하단교차로
4th row양정교차로-서면교차로
5th row안남동주민센터-충무교차로
ValueCountFrequency (%)
3764
 
18.4%
atmsd 2392
 
11.7%
청강사거리 409
 
2.0%
연화육교 408
 
2.0%
연화삼거리 403
 
2.0%
롯데몰 403
 
2.0%
동부산ic 397
 
1.9%
괴정교차로 289
 
1.4%
해운대역 280
 
1.4%
서면교차로 277
 
1.4%
Other values (125) 11404
55.8%
2024-04-21T10:08:23.380810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10426
 
7.3%
- 10000
 
7.0%
교 6829
 
4.8%
리 6797
 
4.8%
거 6650
 
4.7%
차 5307
 
3.7%
로 5169
 
3.6%
사 3981
 
2.8%
동 3224
 
2.3%
삼 3082
 
2.2%
Other values (144) 81126
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 106789
74.9%
Uppercase Letter 13530
 
9.5%
Space Separator 10426
 
7.3%
Dash Punctuation 10000
 
7.0%
Decimal Number 1128
 
0.8%
Open Punctuation 359
 
0.3%
Close Punctuation 359
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 6829
 
6.4%
리 6797
 
6.4%
거 6650
 
6.2%
차 5307
 
5.0%
로 5169
 
4.8%
사 3981
 
3.7%
동 3224
 
3.0%
삼 3082
 
2.9%
산 2482
 
2.3%
정 2184
 
2.0%
Other values (129) 61084
57.2%
Uppercase Letter
ValueCountFrequency (%)
T 2392
17.7%
A 2392
17.7%
M 2392
17.7%
D 2392
17.7%
S 2392
17.7%
C 785
 
5.8%
I 785
 
5.8%
Decimal Number
ValueCountFrequency (%)
3 563
49.9%
2 289
25.6%
9 138
 
12.2%
4 138
 
12.2%
Space Separator
ValueCountFrequency (%)
10426
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%
Open Punctuation
ValueCountFrequency (%)
( 359
100.0%
Close Punctuation
ValueCountFrequency (%)
) 359
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 106789
74.9%
Common 22272
 
15.6%
Latin 13530
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 6829
 
6.4%
리 6797
 
6.4%
거 6650
 
6.2%
차 5307
 
5.0%
로 5169
 
4.8%
사 3981
 
3.7%
동 3224
 
3.0%
삼 3082
 
2.9%
산 2482
 
2.3%
정 2184
 
2.0%
Other values (129) 61084
57.2%
Common
ValueCountFrequency (%)
10426
46.8%
- 10000
44.9%
3 563
 
2.5%
( 359
 
1.6%
) 359
 
1.6%
2 289
 
1.3%
9 138
 
0.6%
4 138
 
0.6%
Latin
ValueCountFrequency (%)
T 2392
17.7%
A 2392
17.7%
M 2392
17.7%
D 2392
17.7%
S 2392
17.7%
C 785
 
5.8%
I 785
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 106789
74.9%
ASCII 35802
 
25.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10426
29.1%
- 10000
27.9%
T 2392
 
6.7%
A 2392
 
6.7%
M 2392
 
6.7%
D 2392
 
6.7%
S 2392
 
6.7%
C 785
 
2.2%
I 785
 
2.2%
3 563
 
1.6%
Other values (5) 1283
 
3.6%
Hangul
ValueCountFrequency (%)
교 6829
 
6.4%
리 6797
 
6.4%
거 6650
 
6.2%
차 5307
 
5.0%
로 5169
 
4.8%
사 3981
 
3.7%
동 3224
 
3.0%
삼 3082
 
2.9%
산 2482
 
2.3%
정 2184
 
2.0%
Other values (129) 61084
57.2%

속도
Real number (ℝ)

Distinct101
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.2607
Minimum3
Maximum115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:08:23.513884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile16
Q124
median33
Q349
95-th percentile73
Maximum115
Range112
Interquartile range (IQR)25

Descriptive statistics

Standard deviation18.337114
Coefficient of variation (CV)0.47926761
Kurtosis0.022429979
Mean38.2607
Median Absolute Deviation (MAD)11
Skewness0.85202777
Sum382607
Variance336.24976
MonotonicityNot monotonic
2024-04-21T10:08:23.627748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27 340
 
3.4%
20 305
 
3.0%
28 303
 
3.0%
24 299
 
3.0%
26 287
 
2.9%
23 285
 
2.9%
29 280
 
2.8%
21 273
 
2.7%
25 272
 
2.7%
19 271
 
2.7%
Other values (91) 7085
70.9%
ValueCountFrequency (%)
3 1
 
< 0.1%
4 9
 
0.1%
5 6
 
0.1%
6 5
 
0.1%
7 10
 
0.1%
8 11
 
0.1%
9 16
0.2%
10 24
0.2%
11 34
0.3%
12 32
0.3%
ValueCountFrequency (%)
115 1
 
< 0.1%
104 1
 
< 0.1%
101 1
 
< 0.1%
100 1
 
< 0.1%
99 2
 
< 0.1%
98 4
< 0.1%
97 6
0.1%
96 2
 
< 0.1%
95 7
0.1%
94 6
0.1%

Interactions

2024-04-21T10:08:22.498951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:08:23.717580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가공일시속도
가공일시1.0000.239
속도0.2391.000

Missing values

2024-04-21T10:08:22.643002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:08:22.704882image/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

가공일시구간명속도
69752024-03-31 12:15:00ATMSD 연산교차로- 남문구사거리13
27612024-03-31 05:00:00개좌터널출구-곰내터널입구71
111012024-03-31 19:30:00괴정교차로 - 하단교차로24
117432024-03-31 20:30:00양정교차로-서면교차로26
135722024-03-31 23:45:00안남동주민센터-충무교차로33
52162024-03-31 09:15:00수영고가교-대연램프68
67782024-03-31 12:00:00개좌터널출구-곰내터널입구72
11642024-03-31 02:00:00안남동주민센터-충무교차로28
117012024-03-31 20:30:00안남동주민센터-충무교차로30
62572024-03-31 11:00:00ATMSD 안락뜨란채삼거리-재송삼익아파트19
가공일시구간명속도
51562024-03-31 09:15:00부곡사거리 - 금정경찰서교차로26
85262024-03-31 15:00:00항만삼거리-동천삼거리47
33022024-03-31 06:00:00하단교차로 - 괴정교차로37
63022024-03-31 11:15:00해운대역 - 장산역사거리19
44212024-03-31 07:45:00청강사거리 - 연화삼거리40
4872024-03-31 00:45:00대연램프-문현램프77
822024-03-31 00:00:00양정교차로-연산교차로28
84372024-03-31 14:45:00ATMSD 당감삼익아파트삼거리-진양사거리27
26032024-03-31 04:45:00과정삼거리 - 안락교차로24
66222024-03-31 11:45:00조만교-세산교차로48

Duplicate rows

Most frequently occurring

가공일시구간명속도# duplicates
02024-03-31 08:15:00ATMSD 당감삼익아파트삼거리-진양사거리462
12024-03-31 15:15:00ATMSD 당감삼익아파트삼거리-진양사거리302
22024-03-31 15:30:00ATMSD 당감삼익아파트삼거리-진양사거리322
32024-03-31 21:15:00ATMSD 당감삼익아파트삼거리-진양사거리402