Overview

Dataset statistics

Number of variables7
Number of observations3440
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory201.7 KiB
Average record size in memory60.0 B

Variable types

Categorical5
Numeric2

Dataset

Description서울교통공사에서 운영하는 2호선의 승강장 이격거리에 대한 데이터로 철도운영기관명,선명,역명,승강장번호,차량순서,차량출입문번호,안전거리 등이 있습니다.
Author국가철도공단
URLhttps://www.data.go.kr/data/15041515/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 12:23:00.595483
Analysis finished2023-12-12 12:23:01.913206
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

철도운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
서울교통공사
3440 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울교통공사 3440
100.0%

Length

2023-12-12T21:23:02.026409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:02.158550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울교통공사 3440
100.0%

선명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
2호선
3440 

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 3440
100.0%

Length

2023-12-12T21:23:02.315835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:02.464363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2호선 3440
100.0%

역명
Categorical

Distinct43
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
강남
 
80
문래
 
80
건대입구
 
80
교대(법원·검찰청)
 
80
구로디지털단지
 
80
Other values (38)
3040 

Length

Max length11
Median length10
Mean length4.3023256
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강남 80
 
2.3%
문래 80
 
2.3%
건대입구 80
 
2.3%
교대(법원·검찰청) 80
 
2.3%
구로디지털단지 80
 
2.3%
구의(광진구청) 80
 
2.3%
낙성대 80
 
2.3%
당산 80
 
2.3%
대림(구로구청) 80
 
2.3%
동대문역사문화공원 80
 
2.3%
Other values (33) 2640
76.7%

Length

2023-12-12T21:23:02.623991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강남 80
 
2.3%
신당 80
 
2.3%
신도림 80
 
2.3%
신림 80
 
2.3%
신촌 80
 
2.3%
아현 80
 
2.3%
역삼 80
 
2.3%
영등포구청 80
 
2.3%
왕십리 80
 
2.3%
을지로3가 80
 
2.3%
Other values (33) 2640
76.7%

승강장번호
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
1
1720 
2
1720 

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 1720
50.0%
2 1720
50.0%

Length

2023-12-12T21:23:02.770917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:02.892561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1720
50.0%
2 1720
50.0%

차량순서
Real number (ℝ)

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.4 KiB
2023-12-12T21:23:03.009088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5.5
Q38
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.8726989
Coefficient of variation (CV)0.52230889
Kurtosis-1.2242775
Mean5.5
Median Absolute Deviation (MAD)2.5
Skewness0
Sum18920
Variance8.252399
MonotonicityNot monotonic
2023-12-12T21:23:03.120272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 344
10.0%
2 344
10.0%
3 344
10.0%
4 344
10.0%
5 344
10.0%
6 344
10.0%
7 344
10.0%
8 344
10.0%
9 344
10.0%
10 344
10.0%
ValueCountFrequency (%)
1 344
10.0%
2 344
10.0%
3 344
10.0%
4 344
10.0%
5 344
10.0%
6 344
10.0%
7 344
10.0%
8 344
10.0%
9 344
10.0%
10 344
10.0%
ValueCountFrequency (%)
10 344
10.0%
9 344
10.0%
8 344
10.0%
7 344
10.0%
6 344
10.0%
5 344
10.0%
4 344
10.0%
3 344
10.0%
2 344
10.0%
1 344
10.0%

차량출입문번호
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
4
860 
3
860 
1
860 
2
860 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 860
25.0%
3 860
25.0%
1 860
25.0%
2 860
25.0%

Length

2023-12-12T21:23:03.252535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:23:03.374767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 860
25.0%
3 860
25.0%
1 860
25.0%
2 860
25.0%

안전거리
Real number (ℝ)

Distinct87
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6338663
Minimum0.7
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.4 KiB
2023-12-12T21:23:03.502434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile4
Q17
median8.5
Q310
95-th percentile13
Maximum21
Range20.3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.6476138
Coefficient of variation (CV)0.30665448
Kurtosis1.3665779
Mean8.6338663
Median Absolute Deviation (MAD)1.5
Skewness0.40099616
Sum29700.5
Variance7.0098588
MonotonicityNot monotonic
2023-12-12T21:23:03.667583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.0 419
 
12.2%
8.0 377
 
11.0%
9.5 259
 
7.5%
10.0 258
 
7.5%
8.5 245
 
7.1%
11.0 193
 
5.6%
7.0 176
 
5.1%
10.5 156
 
4.5%
7.5 149
 
4.3%
6.0 146
 
4.2%
Other values (77) 1062
30.9%
ValueCountFrequency (%)
0.7 3
 
0.1%
1.5 3
 
0.1%
2.0 13
 
0.4%
2.3 1
 
< 0.1%
2.5 9
 
0.3%
2.8 1
 
< 0.1%
3.0 47
1.4%
3.2 3
 
0.1%
3.3 3
 
0.1%
3.5 22
0.6%
ValueCountFrequency (%)
21.0 1
 
< 0.1%
20.0 2
 
0.1%
19.0 4
 
0.1%
18.5 6
0.2%
18.0 7
0.2%
17.5 2
 
0.1%
17.0 9
0.3%
16.5 8
0.2%
16.0 11
0.3%
15.5 12
0.3%

Interactions

2023-12-12T21:23:01.387684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:23:00.965578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:23:01.517373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:23:01.190068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:23:03.785941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명승강장번호차량순서차량출입문번호안전거리
역명1.0000.0000.0000.0000.782
승강장번호0.0001.0000.0000.0000.213
차량순서0.0000.0001.0000.0000.100
차량출입문번호0.0000.0000.0001.0000.046
안전거리0.7820.2130.1000.0461.000
2023-12-12T21:23:03.895478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차량출입문번호역명승강장번호
차량출입문번호1.0000.0000.000
역명0.0001.0000.000
승강장번호0.0000.0001.000
2023-12-12T21:23:04.000156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차량순서안전거리역명승강장번호차량출입문번호
차량순서1.0000.0170.0000.0000.000
안전거리0.0171.0000.4020.1630.027
역명0.0000.4021.0000.0000.000
승강장번호0.0000.1630.0001.0000.000
차량출입문번호0.0000.0270.0000.0001.000

Missing values

2023-12-12T21:23:01.679375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:23:01.832520image/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
0서울교통공사2호선강남1147.0
1서울교통공사2호선강남1136.5
2서울교통공사2호선강남1118.0
3서울교통공사2호선강남1128.0
4서울교통공사2호선강남1237.0
5서울교통공사2호선강남1247.5
6서울교통공사2호선강남1218.7
7서울교통공사2호선강남1228.0
8서울교통공사2호선강남1347.5
9서울교통공사2호선강남1337.0
철도운영기관명선명역명승강장번호차량순서차량출입문번호안전거리
3430서울교통공사2호선홍대입구2835.0
3431서울교통공사2호선홍대입구2845.0
3432서울교통공사2호선홍대입구2934.0
3433서울교통공사2호선홍대입구2943.5
3434서울교통공사2호선홍대입구2924.0
3435서울교통공사2호선홍대입구2914.5
3436서울교통공사2호선홍대입구21013.0
3437서울교통공사2호선홍대입구21024.0
3438서울교통공사2호선홍대입구21035.0
3439서울교통공사2호선홍대입구21045.5