Overview

Dataset statistics

Number of variables3
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows3
Duplicate rows (%)< 0.1%
Total size in memory322.3 KiB
Average record size in memory33.0 B

Variable types

DateTime1
Text1
Numeric1

Dataset

Description부산광역시_지능형교통정보_DSRC구간교통정보_20240131
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15041717

Alerts

Dataset has 3 (< 0.1%) duplicate rowsDuplicates

Reproduction

Analysis started2024-03-13 13:20:38.388372
Analysis finished2024-03-13 13:20:38.860860
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가공일시
Date

Distinct96
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-01-31 00:00:00
Maximum2024-01-31 23:45:00
2024-03-13T22:20:38.940565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:20:39.099948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구간명
Text

Distinct147
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T22:20:39.602918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length14.3242
Min length8

Characters and Unicode

Total characters143242
Distinct characters152
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 row황령터널(서측)-범내골램프
2nd row교리삼거리 - 청강사거리
3rd row동대신교차로 - 괴정교차로
4th row진양사거리 - 개성중사거리
5th row문현램프-3부두
ValueCountFrequency (%)
4011
 
19.4%
atmsd 2220
 
10.7%
청강사거리 430
 
2.1%
연화육교 425
 
2.1%
롯데몰 391
 
1.9%
연화삼거리 390
 
1.9%
동부산ic 381
 
1.8%
과정삼거리 294
 
1.4%
괴정교차로 293
 
1.4%
해운대역 281
 
1.4%
Other values (127) 11601
56.0%
2024-03-13T22:20:39.978753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10717
 
7.5%
- 10000
 
7.0%
리 6630
 
4.6%
거 6430
 
4.5%
교 6363
 
4.4%
차 4904
 
3.4%
로 4768
 
3.3%
사 3750
 
2.6%
동 3510
 
2.5%
삼 3176
 
2.2%
Other values (142) 82994
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 106901
74.6%
Uppercase Letter 12642
 
8.8%
Space Separator 10717
 
7.5%
Dash Punctuation 10000
 
7.0%
Decimal Number 1416
 
1.0%
Close Punctuation 783
 
0.5%
Open Punctuation 783
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 6630
 
6.2%
거 6430
 
6.0%
교 6363
 
6.0%
차 4904
 
4.6%
로 4768
 
4.5%
사 3750
 
3.5%
동 3510
 
3.3%
삼 3176
 
3.0%
산 2405
 
2.2%
정 2047
 
1.9%
Other values (127) 62918
58.9%
Uppercase Letter
ValueCountFrequency (%)
D 2220
17.6%
S 2220
17.6%
M 2220
17.6%
T 2220
17.6%
A 2220
17.6%
C 771
 
6.1%
I 771
 
6.1%
Decimal Number
ValueCountFrequency (%)
3 568
40.1%
2 286
20.2%
9 281
19.8%
4 281
19.8%
Space Separator
ValueCountFrequency (%)
10717
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%
Close Punctuation
ValueCountFrequency (%)
) 783
100.0%
Open Punctuation
ValueCountFrequency (%)
( 783
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 106901
74.6%
Common 23699
 
16.5%
Latin 12642
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 6630
 
6.2%
거 6430
 
6.0%
교 6363
 
6.0%
차 4904
 
4.6%
로 4768
 
4.5%
사 3750
 
3.5%
동 3510
 
3.3%
삼 3176
 
3.0%
산 2405
 
2.2%
정 2047
 
1.9%
Other values (127) 62918
58.9%
Common
ValueCountFrequency (%)
10717
45.2%
- 10000
42.2%
) 783
 
3.3%
( 783
 
3.3%
3 568
 
2.4%
2 286
 
1.2%
9 281
 
1.2%
4 281
 
1.2%
Latin
ValueCountFrequency (%)
D 2220
17.6%
S 2220
17.6%
M 2220
17.6%
T 2220
17.6%
A 2220
17.6%
C 771
 
6.1%
I 771
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 106901
74.6%
ASCII 36341
 
25.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10717
29.5%
- 10000
27.5%
D 2220
 
6.1%
S 2220
 
6.1%
M 2220
 
6.1%
T 2220
 
6.1%
A 2220
 
6.1%
) 783
 
2.2%
( 783
 
2.2%
C 771
 
2.1%
Other values (5) 2187
 
6.0%
Hangul
ValueCountFrequency (%)
리 6630
 
6.2%
거 6430
 
6.0%
교 6363
 
6.0%
차 4904
 
4.6%
로 4768
 
4.5%
사 3750
 
3.5%
동 3510
 
3.3%
삼 3176
 
3.0%
산 2405
 
2.2%
정 2047
 
1.9%
Other values (127) 62918
58.9%

속도
Real number (ℝ)

Distinct97
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.0183
Minimum3
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T22:20:40.171053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile15
Q124
median33
Q347
95-th percentile72
Maximum104
Range101
Interquartile range (IQR)23

Descriptive statistics

Standard deviation17.681104
Coefficient of variation (CV)0.47763143
Kurtosis0.11746039
Mean37.0183
Median Absolute Deviation (MAD)11
Skewness0.82319974
Sum370183
Variance312.62143
MonotonicityNot monotonic
2024-03-13T22:20:40.325649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29 292
 
2.9%
24 286
 
2.9%
21 282
 
2.8%
27 278
 
2.8%
26 278
 
2.8%
30 276
 
2.8%
22 271
 
2.7%
20 265
 
2.6%
28 261
 
2.6%
23 260
 
2.6%
Other values (87) 7251
72.5%
ValueCountFrequency (%)
3 6
 
0.1%
4 7
 
0.1%
5 10
 
0.1%
6 7
 
0.1%
7 12
 
0.1%
8 21
 
0.2%
9 29
0.3%
10 41
0.4%
11 59
0.6%
12 61
0.6%
ValueCountFrequency (%)
104 1
 
< 0.1%
100 1
 
< 0.1%
98 1
 
< 0.1%
96 6
0.1%
95 3
 
< 0.1%
94 2
 
< 0.1%
93 3
 
< 0.1%
92 2
 
< 0.1%
91 2
 
< 0.1%
90 11
0.1%

Interactions

2024-03-13T22:20:38.611589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T22:20:40.410224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가공일시속도
가공일시1.0000.284
속도0.2841.000

Missing values

2024-03-13T22:20:38.745815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T22:20:38.825191image/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
94902024-01-31 16:45:00황령터널(서측)-범내골램프50
117942024-01-31 20:45:00교리삼거리 - 청강사거리30
103972024-01-31 18:30:00동대신교차로 - 괴정교차로23
32782024-01-31 06:00:00진양사거리 - 개성중사거리33
75592024-01-31 13:15:00문현램프-3부두41
10152024-01-31 01:45:00곰내터널입구-개좌터널출구84
87612024-01-31 15:30:003부두-항만삼거리22
133822024-01-31 23:45:00충무교차로-안남동주민센터28
42042024-01-31 07:30:00덕천낙동강교 서측-덕천낙동강교 동측83
129152024-01-31 22:45:00동부산IC - 롯데몰31
가공일시구간명속도
113472024-01-31 20:00:00ATMSD 동의대어귀사거리-개금사거리27
70962024-01-31 12:30:0049호광장-동명오거리37
94962024-01-31 16:45:00양정교차로-서면교차로14
16382024-01-31 03:00:00진양사거리 - 개성중사거리35
104382024-01-31 18:30:00곰내터널입구-개좌터널출구71
2292024-01-31 00:15:00양정교차로-서면교차로28
117462024-01-31 20:45:00양정교차로-서면교차로29
112442024-01-31 20:00:00괴정교차로 - 동대신교차로29
38802024-01-31 07:00:00개좌터널출구-곰내터널입구70
89492024-01-31 15:45:00ATMSD 당감삼익아파트삼거리-진양사거리26

Duplicate rows

Most frequently occurring

가공일시구간명속도# duplicates
02024-01-31 05:45:00ATMSD 당감삼익아파트삼거리-진양사거리432
12024-01-31 07:00:00ATMSD 당감삼익아파트삼거리-진양사거리342
22024-01-31 12:15:00ATMSD 당감삼익아파트삼거리-진양사거리422