Overview

Dataset statistics

Number of variables5
Number of observations108
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory43.2 B

Variable types

Categorical4
Numeric1

Dataset

Description서울도시고속도로 요일변동계수- 도시고속도로 본선부의 교통특성을 나타내는 지표로서 요일별 교통량의 노선별 방향별 요일변동계수임- 교통량의 경우 세부구간별로 상이하기 때문에 해당노선의 특성을 잘 반영하는 지점을 대표구간 자료로 사용함
Author서울시설공단
URLhttps://www.data.go.kr/data/15069446/fileData.do

Alerts

연도 has constant value ""Constant
노선 is highly overall correlated with 방향High correlation
방향 is highly overall correlated with 노선High correlation

Reproduction

Analysis started2024-04-21 01:38:10.840415
Analysis finished2024-04-21 01:38:12.456740
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023
108 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 108
100.0%

Length

2024-04-21T10:38:12.518157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:38:12.598144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 108
100.0%

노선
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size996.0 B
내부순환
14 
올림픽대로
14 
동부간선
14 
분당수서
14 
경부고속
14 
Other values (3)
38 

Length

Max length5
Median length4
Mean length4.1296296
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row내부순환
2nd row내부순환
3rd row내부순환
4th row내부순환
5th row내부순환

Common Values

ValueCountFrequency (%)
내부순환 14
13.0%
올림픽대로 14
13.0%
동부간선 14
13.0%
분당수서 14
13.0%
경부고속 14
13.0%
강남순환 14
13.0%
강변북로 13
12.0%
북부간선 11
10.2%

Length

2024-04-21T10:38:12.679835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:38:12.794050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
내부순환 14
13.0%
올림픽대로 14
13.0%
동부간선 14
13.0%
분당수서 14
13.0%
경부고속 14
13.0%
강남순환 14
13.0%
강변북로 13
12.0%
북부간선 11
10.2%

방향
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size996.0 B
서향
34 
동향
32 
남향
21 
북향
21 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동향
2nd row동향
3rd row동향
4th row동향
5th row동향

Common Values

ValueCountFrequency (%)
서향 34
31.5%
동향 32
29.6%
남향 21
19.4%
북향 21
19.4%

Length

2024-04-21T10:38:12.908520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:38:13.001422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서향 34
31.5%
동향 32
29.6%
남향 21
19.4%
북향 21
19.4%

요일
Categorical

Distinct7
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size996.0 B
16 
16 
16 
휴일
15 
15 
Other values (2)
30 

Length

Max length2
Median length1
Mean length1.1388889
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휴일
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
16
14.8%
16
14.8%
16
14.8%
휴일 15
13.9%
15
13.9%
15
13.9%
15
13.9%

Length

2024-04-21T10:38:13.100492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:38:13.214218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
16
14.8%
16
14.8%
16
14.8%
휴일 15
13.9%
15
13.9%
15
13.9%
15
13.9%

변동계수
Real number (ℝ)

Distinct18
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0003704
Minimum0.79
Maximum1.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-21T10:38:13.345321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.79
5-th percentile0.9235
Q10.9975
median1.01
Q31.02
95-th percentile1.0465
Maximum1.1
Range0.31
Interquartile range (IQR)0.0225

Descriptive statistics

Standard deviation0.043361681
Coefficient of variation (CV)0.043345627
Kurtosis9.3787251
Mean1.0003704
Median Absolute Deviation (MAD)0.01
Skewness-2.3016978
Sum108.04
Variance0.0018802354
MonotonicityNot monotonic
2024-04-21T10:38:13.498239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.01 28
25.9%
1.0 19
17.6%
1.02 15
13.9%
1.03 8
 
7.4%
0.99 7
 
6.5%
1.04 5
 
4.6%
0.95 4
 
3.7%
0.98 4
 
3.7%
0.97 3
 
2.8%
0.91 3
 
2.8%
Other values (8) 12
11.1%
ValueCountFrequency (%)
0.79 2
 
1.9%
0.91 3
 
2.8%
0.92 1
 
0.9%
0.93 1
 
0.9%
0.94 2
 
1.9%
0.95 4
 
3.7%
0.97 3
 
2.8%
0.98 4
 
3.7%
0.99 7
 
6.5%
1.0 19
17.6%
ValueCountFrequency (%)
1.1 1
 
0.9%
1.08 1
 
0.9%
1.07 2
 
1.9%
1.05 2
 
1.9%
1.04 5
 
4.6%
1.03 8
 
7.4%
1.02 15
13.9%
1.01 28
25.9%
1.0 19
17.6%
0.99 7
 
6.5%

Interactions

2024-04-21T10:38:11.992293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:38:13.598352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선방향요일변동계수
노선1.0000.8610.0000.652
방향0.8611.0000.0000.000
요일0.0000.0001.0000.572
변동계수0.6520.0000.5721.000
2024-04-21T10:38:13.717001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방향요일노선
방향1.0000.0000.529
요일0.0001.0000.000
노선0.5290.0001.000
2024-04-21T10:38:13.824366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
변동계수노선방향요일
변동계수1.0000.2670.0000.349
노선0.2671.0000.5290.000
방향0.0000.5291.0000.000
요일0.3490.0000.0001.000

Missing values

2024-04-21T10:38:12.318599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:38:12.411797image/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

연도노선방향요일변동계수
02023내부순환동향휴일0.92
12023내부순환동향1.01
22023내부순환동향1.01
32023내부순환동향1.01
42023내부순환동향1.01
52023내부순환동향1.03
62023내부순환동향1.0
72023내부순환서향휴일0.93
82023내부순환서향1.01
92023내부순환서향1.01
연도노선방향요일변동계수
982023강남순환동향1.04
992023강남순환동향1.08
1002023강남순환동향0.98
1012023강남순환서향휴일0.79
1022023강남순환서향1.01
1032023강남순환서향1.04
1042023강남순환서향1.04
1052023강남순환서향1.05
1062023강남순환서향1.1
1072023강남순환서향0.98