Overview

Dataset statistics

Number of variables7
Number of observations2016
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory118.3 KiB
Average record size in memory60.1 B

Variable types

Categorical5
Numeric2

Dataset

Description부산교통공사에서 운영하는 부산2호선의 승강장 이격거리에 대한 데이터로 철도운영기관명, 선명, 역명, 승강장이격거리에 대한 승강장번호, 차량순서, 차량출입문번호, 안전거리의 데이터가 있습니다.
Author국가철도공단
URLhttps://www.data.go.kr/data/15041495/fileData.do

Alerts

철도운영기관명 has constant value ""Constant
선명 has constant value ""Constant

Reproduction

Analysis started2023-12-12 04:17:17.993759
Analysis finished2023-12-12 04:17:19.087250
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

철도운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
부산교통공사
2016 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산교통공사 2016
100.0%

Length

2023-12-12T13:17:19.169118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:17:19.307736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산교통공사 2016
100.0%

선명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
2호선
2016 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2호선
2nd row2호선
3rd row2호선
4th row2호선
5th row2호선

Common Values

ValueCountFrequency (%)
2호선 2016
100.0%

Length

2023-12-12T13:17:19.443963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:17:19.585660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2호선 2016
100.0%

역명
Categorical

Distinct42
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
가야
 
48
금련산
 
48
모덕
 
48
개금
 
48
경성대·부경대(동명대학교)
 
48
Other values (37)
1776 

Length

Max length16
Median length2
Mean length5.1666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가야 48
 
2.4%
금련산 48
 
2.4%
모덕 48
 
2.4%
개금 48
 
2.4%
경성대·부경대(동명대학교) 48
 
2.4%
광안 48
 
2.4%
구남 48
 
2.4%
구명 48
 
2.4%
국제금융센터·부산은행 48
 
2.4%
금곡 48
 
2.4%
Other values (32) 1536
76.2%

Length

2023-12-12T13:17:19.728067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가야 48
 
2.4%
수영 48
 
2.4%
호포 48
 
2.4%
민락 48
 
2.4%
벡스코(시립미술관 48
 
2.4%
부산대양산캠퍼스 48
 
2.4%
부암(온종합병원 48
 
2.4%
사상(서부터미널 48
 
2.4%
서면 48
 
2.4%
센텀시티(bexco·신세계 48
 
2.4%
Other values (32) 1536
76.2%

승강장번호
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
1
1008 
2
1008 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1008
50.0%
2 1008
50.0%

Length

2023-12-12T13:17:19.875257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:17:20.000804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1008
50.0%
2 1008
50.0%

차량순서
Real number (ℝ)

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-12T13:17:20.144169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3.5
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7082489
Coefficient of variation (CV)0.4880711
Kurtosis-1.2687412
Mean3.5
Median Absolute Deviation (MAD)1.5
Skewness0
Sum7056
Variance2.9181141
MonotonicityNot monotonic
2023-12-12T13:17:20.281883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 336
16.7%
2 336
16.7%
3 336
16.7%
4 336
16.7%
5 336
16.7%
6 336
16.7%
ValueCountFrequency (%)
1 336
16.7%
2 336
16.7%
3 336
16.7%
4 336
16.7%
5 336
16.7%
6 336
16.7%
ValueCountFrequency (%)
6 336
16.7%
5 336
16.7%
4 336
16.7%
3 336
16.7%
2 336
16.7%
1 336
16.7%

차량출입문번호
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
2
504 
3
504 
1
504 
4
504 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row1
4th row4
5th row1

Common Values

ValueCountFrequency (%)
2 504
25.0%
3 504
25.0%
1 504
25.0%
4 504
25.0%

Length

2023-12-12T13:17:20.449448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:17:20.593637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 504
25.0%
3 504
25.0%
1 504
25.0%
4 504
25.0%

안전거리
Real number (ℝ)

Distinct80
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.149256
Minimum2.6
Maximum13.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-12T13:17:20.814017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile4.2
Q15
median6
Q37
95-th percentile9.5
Maximum13.5
Range10.9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4931238
Coefficient of variation (CV)0.24281374
Kurtosis1.9725626
Mean6.149256
Median Absolute Deviation (MAD)1
Skewness1.1643501
Sum12396.9
Variance2.2294188
MonotonicityNot monotonic
2023-12-12T13:17:20.999619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.5 253
 
12.5%
5.0 228
 
11.3%
6.0 162
 
8.0%
7.0 140
 
6.9%
6.5 139
 
6.9%
4.5 134
 
6.6%
4.0 65
 
3.2%
7.5 63
 
3.1%
5.3 48
 
2.4%
5.8 41
 
2.0%
Other values (70) 743
36.9%
ValueCountFrequency (%)
2.6 1
 
< 0.1%
3.0 2
 
0.1%
3.5 11
 
0.5%
3.6 2
 
0.1%
3.7 4
 
0.2%
3.8 5
 
0.2%
3.9 1
 
< 0.1%
4.0 65
3.2%
4.1 6
 
0.3%
4.2 7
 
0.3%
ValueCountFrequency (%)
13.5 2
 
0.1%
12.5 3
0.1%
12.0 3
0.1%
11.6 1
 
< 0.1%
11.5 3
0.1%
11.3 1
 
< 0.1%
11.2 2
 
0.1%
11.1 3
0.1%
11.0 5
0.2%
10.9 1
 
< 0.1%

Interactions

2023-12-12T13:17:18.562284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:17:18.294495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:17:18.677090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:17:18.402704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:17:21.123458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명승강장번호차량순서차량출입문번호안전거리
역명1.0000.0000.0000.0000.849
승강장번호0.0001.0000.0000.0000.140
차량순서0.0000.0001.0000.0000.112
차량출입문번호0.0000.0000.0001.0000.000
안전거리0.8490.1400.1120.0001.000
2023-12-12T13:17:21.245200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명승강장번호차량출입문번호
역명1.0000.0000.000
승강장번호0.0001.0000.000
차량출입문번호0.0000.0001.000
2023-12-12T13:17:21.349074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차량순서안전거리역명승강장번호차량출입문번호
차량순서1.0000.0340.0000.0000.000
안전거리0.0341.0000.4890.1070.000
역명0.0000.4891.0000.0000.000
승강장번호0.0000.1070.0001.0000.000
차량출입문번호0.0000.0000.0000.0001.000

Missing values

2023-12-12T13:17:18.861467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:17:19.022255image/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

철도운영기관명선명역명승강장번호차량순서차량출입문번호안전거리
0부산교통공사2호선가야1126.3
1부산교통공사2호선가야1136.3
2부산교통공사2호선가야1116.0
3부산교통공사2호선가야1146.3
4부산교통공사2호선가야1216.3
5부산교통공사2호선가야1226.3
6부산교통공사2호선가야1236.0
7부산교통공사2호선가야1246.0
8부산교통공사2호선가야1326.0
9부산교통공사2호선가야1316.0
철도운영기관명선명역명승강장번호차량순서차량출입문번호안전거리
2006부산교통공사2호선화명2425.5
2007부산교통공사2호선화명2446.1
2008부산교통공사2호선화명2535.5
2009부산교통공사2호선화명2515.9
2010부산교통공사2호선화명2525.6
2011부산교통공사2호선화명2545.5
2012부산교통공사2호선화명2635.5
2013부산교통공사2호선화명2626.0
2014부산교통공사2호선화명2616.0
2015부산교통공사2호선화명2645.9