Overview

Dataset statistics

Number of variables7
Number of observations168
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.0 KiB
Average record size in memory60.8 B

Variable types

Categorical6
Numeric1

Dataset

Description부산김해경전철에서 운영하는 노선의 승강장 이격거리에 대한 데이터로 철도운영기관명,선명,역명,승강장번호,차량순서,차량출입문번호,안전거리
Author국가철도공단
URLhttps://www.data.go.kr/data/15041492/fileData.do

Alerts

철도운영기관명 has constant value ""Constant
선명 has constant value ""Constant
차량출입문번호 is highly overall correlated with 차량순서High correlation
차량순서 is highly overall correlated with 차량출입문번호High correlation

Reproduction

Analysis started2023-12-12 19:06:21.066063
Analysis finished2023-12-12 19:06:21.669516
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

철도운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
부산김해경전철
168 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산김해경전철 168
100.0%

Length

2023-12-13T04:06:21.736281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:06:21.858527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산김해경전철 168
100.0%

선명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
부산김해경전철
168 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산김해경전철 168
100.0%

Length

2023-12-13T04:06:21.969179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:06:22.081795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산김해경전철 168
100.0%

역명
Categorical

Distinct21
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
가야대(삼계)
 
8
공항
 
8
괘법르네시떼(강변공원)
 
8
김해대학(안동)
 
8
김해시청
 
8
Other values (16)
128 

Length

Max length13
Median length12
Mean length5.4285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가야대(삼계)
2nd row가야대(삼계)
3rd row가야대(삼계)
4th row가야대(삼계)
5th row가야대(삼계)

Common Values

ValueCountFrequency (%)
가야대(삼계) 8
 
4.8%
공항 8
 
4.8%
괘법르네시떼(강변공원) 8
 
4.8%
김해대학(안동) 8
 
4.8%
김해시청 8
 
4.8%
대사 8
 
4.8%
대저 8
 
4.8%
덕두 8
 
4.8%
등구 8
 
4.8%
박물관 8
 
4.8%
Other values (11) 88
52.4%

Length

2023-12-13T04:06:22.189294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가야대(삼계 8
 
4.8%
부원 8
 
4.8%
지내 8
 
4.8%
장신대(화정 8
 
4.8%
인제대(활천 8
 
4.8%
연지공원 8
 
4.8%
수로왕릉(김해보건소 8
 
4.8%
서부산유통지구(금호마을 8
 
4.8%
사상(서부터미널 8
 
4.8%
불암 8
 
4.8%
Other values (11) 88
52.4%

승강장번호
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
84 
2
84 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 84
50.0%
2 84
50.0%

Length

2023-12-13T04:06:22.321670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:06:22.448872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 84
50.0%
2 84
50.0%

차량순서
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
84 
2
84 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 84
50.0%
2 84
50.0%

Length

2023-12-13T04:06:22.568997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:06:22.698397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 84
50.0%
2 84
50.0%

차량출입문번호
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
42 
2
42 
4
42 
3
42 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 42
25.0%
2 42
25.0%
4 42
25.0%
3 42
25.0%

Length

2023-12-13T04:06:22.867725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:06:23.037586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
25.0%
2 42
25.0%
4 42
25.0%
3 42
25.0%

안전거리
Real number (ℝ)

Distinct25
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.172619
Minimum4
Maximum7.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T04:06:23.178189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.5
Q14.9
median5
Q35.5
95-th percentile6.1
Maximum7.7
Range3.7
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.54086894
Coefficient of variation (CV)0.10456385
Kurtosis5.6322032
Mean5.172619
Median Absolute Deviation (MAD)0.2
Skewness1.872164
Sum869
Variance0.29253921
MonotonicityNot monotonic
2023-12-13T04:06:23.342172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
5.0 51
30.4%
5.5 28
16.7%
4.9 13
 
7.7%
5.2 12
 
7.1%
4.5 11
 
6.5%
4.8 10
 
6.0%
5.3 7
 
4.2%
4.6 6
 
3.6%
5.1 5
 
3.0%
4.7 3
 
1.8%
Other values (15) 22
13.1%
ValueCountFrequency (%)
4.0 1
 
0.6%
4.3 1
 
0.6%
4.4 1
 
0.6%
4.5 11
 
6.5%
4.6 6
 
3.6%
4.7 3
 
1.8%
4.8 10
 
6.0%
4.9 13
 
7.7%
5.0 51
30.4%
5.1 5
 
3.0%
ValueCountFrequency (%)
7.7 1
 
0.6%
7.5 1
 
0.6%
7.0 3
1.8%
6.5 1
 
0.6%
6.3 1
 
0.6%
6.2 1
 
0.6%
6.1 3
1.8%
6.0 2
1.2%
5.9 2
1.2%
5.7 1
 
0.6%

Interactions

2023-12-13T04:06:21.336348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:06:23.482172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명승강장번호차량순서차량출입문번호안전거리
역명1.0000.0000.0000.0000.725
승강장번호0.0001.0000.0000.0000.132
차량순서0.0000.0001.0001.0000.269
차량출입문번호0.0000.0001.0001.0000.098
안전거리0.7250.1320.2690.0981.000
2023-12-13T04:06:23.645147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
승강장번호역명차량출입문번호차량순서
승강장번호1.0000.0000.0000.000
역명0.0001.0000.0000.000
차량출입문번호0.0000.0001.0000.994
차량순서0.0000.0000.9941.000
2023-12-13T04:06:23.788101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
안전거리역명승강장번호차량순서차량출입문번호
안전거리1.0000.3660.1280.2620.059
역명0.3661.0000.0000.0000.000
승강장번호0.1280.0001.0000.0000.000
차량순서0.2620.0000.0001.0000.994
차량출입문번호0.0590.0000.0000.9941.000

Missing values

2023-12-13T04:06:21.482260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:06:21.610781image/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
0부산김해경전철부산김해경전철가야대(삼계)1114.7
1부산김해경전철부산김해경전철가야대(삼계)1124.8
2부산김해경전철부산김해경전철가야대(삼계)1244.8
3부산김해경전철부산김해경전철가야대(삼계)1234.8
4부산김해경전철부산김해경전철가야대(삼계)2114.6
5부산김해경전철부산김해경전철가야대(삼계)2124.5
6부산김해경전철부산김해경전철가야대(삼계)2234.6
7부산김해경전철부산김해경전철가야대(삼계)2244.5
8부산김해경전철부산김해경전철공항1115.5
9부산김해경전철부산김해경전철공항1125.0
철도운영기관명선명역명승강장번호차량순서차량출입문번호안전거리
158부산김해경전철부산김해경전철지내2244.9
159부산김해경전철부산김해경전철지내2235.0
160부산김해경전철부산김해경전철평강1115.7
161부산김해경전철부산김해경전철평강1125.6
162부산김해경전철부산김해경전철평강1234.5
163부산김해경전철부산김해경전철평강1244.5
164부산김해경전철부산김해경전철평강2125.4
165부산김해경전철부산김해경전철평강2115.5
166부산김해경전철부산김해경전철평강2246.0
167부산김해경전철부산김해경전철평강2236.1