Overview

Dataset statistics

Number of variables7
Number of observations1776
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory104.2 KiB
Average record size in memory60.1 B

Variable types

Categorical5
Numeric2

Dataset

Description한국철도공사에서 운영하는 분당선의 승강장이격거리에 대한 데이터로 철도운영기관명,선명,역명,승강장번호,차량순서,차량출입문번호,안전거리 등이 있습니다.
Author국가철도공단
URLhttps://www.data.go.kr/data/15041510/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 18:59:19.509503
Analysis finished2023-12-12 18:59:20.743209
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

철도운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
코레일
1776 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
코레일 1776
100.0%

Length

2023-12-13T03:59:21.282009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:59:21.433915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
코레일 1776
100.0%

선명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
분당
1776 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분당 1776
100.0%

Length

2023-12-13T03:59:21.626071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:59:21.801112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분당 1776
100.0%

역명
Categorical

Distinct36
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
망포
 
96
가천대
 
48
매교
 
48
개포동
 
48
구룡
 
48
Other values (31)
1488 

Length

Max length14
Median length2
Mean length4.5675676
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
망포 96
 
5.4%
가천대 48
 
2.7%
매교 48
 
2.7%
개포동 48
 
2.7%
구룡 48
 
2.7%
구성 48
 
2.7%
기흥(백남준아트센터) 48
 
2.7%
대모산입구 48
 
2.7%
도곡 48
 
2.7%
매탄권선 48
 
2.7%
Other values (26) 1248
70.3%

Length

2023-12-13T03:59:21.979848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
망포 96
 
5.4%
가천대 48
 
2.7%
야탑 48
 
2.7%
영통(경희대 48
 
2.7%
수서 48
 
2.7%
수원 48
 
2.7%
수원시청(경기도문화의전당 48
 
2.7%
신갈 48
 
2.7%
압구정로데오 48
 
2.7%
오리 48
 
2.7%
Other values (26) 1248
70.3%

승강장번호
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
1
864 
2
864 
3
 
24
4
 
24

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 (%)
1 864
48.6%
2 864
48.6%
3 24
 
1.4%
4 24
 
1.4%

Length

2023-12-13T03:59:22.181359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:59:22.370749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 864
48.6%
2 864
48.6%
3 24
 
1.4%
4 24
 
1.4%

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 size15.7 KiB
2023-12-13T03:59:22.575379image/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 deviation1.7083061
Coefficient of variation (CV)0.48808747
Kurtosis-1.2687641
Mean3.5
Median Absolute Deviation (MAD)1.5
Skewness0
Sum6216
Variance2.9183099
MonotonicityNot monotonic
2023-12-13T03:59:22.801322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 296
16.7%
2 296
16.7%
3 296
16.7%
4 296
16.7%
5 296
16.7%
6 296
16.7%
ValueCountFrequency (%)
1 296
16.7%
2 296
16.7%
3 296
16.7%
4 296
16.7%
5 296
16.7%
6 296
16.7%
ValueCountFrequency (%)
6 296
16.7%
5 296
16.7%
4 296
16.7%
3 296
16.7%
2 296
16.7%
1 296
16.7%

차량출입문번호
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
3
444 
2
444 
1
444 
4
444 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 444
25.0%
2 444
25.0%
1 444
25.0%
4 444
25.0%

Length

2023-12-13T03:59:23.011310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:59:23.197160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 444
25.0%
2 444
25.0%
1 444
25.0%
4 444
25.0%

안전거리
Real number (ℝ)

Distinct113
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2615991
Minimum2.2
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2023-12-13T03:59:23.408000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile3.7
Q16
median7.5
Q38.4
95-th percentile10.2
Maximum16
Range13.8
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation2.0236379
Coefficient of variation (CV)0.27867662
Kurtosis1.3235878
Mean7.2615991
Median Absolute Deviation (MAD)1.2
Skewness0.33059718
Sum12896.6
Variance4.0951105
MonotonicityNot monotonic
2023-12-13T03:59:23.668634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.0 87
 
4.9%
7.5 75
 
4.2%
7.8 53
 
3.0%
8.5 53
 
3.0%
6.0 50
 
2.8%
9.0 48
 
2.7%
7.0 48
 
2.7%
8.2 48
 
2.7%
6.8 45
 
2.5%
8.4 45
 
2.5%
Other values (103) 1224
68.9%
ValueCountFrequency (%)
2.2 4
0.2%
2.3 2
 
0.1%
2.4 1
 
0.1%
2.5 1
 
0.1%
2.7 2
 
0.1%
2.8 1
 
0.1%
3.0 8
0.5%
3.1 3
 
0.2%
3.2 9
0.5%
3.3 7
0.4%
ValueCountFrequency (%)
16.0 1
0.1%
15.9 1
0.1%
15.7 2
0.1%
15.5 2
0.1%
15.4 2
0.1%
14.9 1
0.1%
14.8 1
0.1%
14.7 1
0.1%
14.5 1
0.1%
14.4 1
0.1%

Interactions

2023-12-13T03:59:20.199181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:59:19.905115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:59:20.334901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:59:20.047315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:59:23.908663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명승강장번호차량순서차량출입문번호안전거리
역명1.0000.6690.0000.0000.807
승강장번호0.6691.0000.0000.0000.195
차량순서0.0000.0001.0000.0000.129
차량출입문번호0.0000.0000.0001.0000.086
안전거리0.8070.1950.1290.0861.000
2023-12-13T03:59:24.074343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
승강장번호차량출입문번호역명
승강장번호1.0000.0000.378
차량출입문번호0.0001.0000.000
역명0.3780.0001.000
2023-12-13T03:59:24.231734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차량순서안전거리역명승강장번호차량출입문번호
차량순서1.0000.0090.0000.0000.000
안전거리0.0091.0000.4350.1160.054
역명0.0000.4351.0000.3780.000
승강장번호0.0000.1160.3781.0000.000
차량출입문번호0.0000.0540.0000.0001.000

Missing values

2023-12-13T03:59:20.536607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:59:20.678067image/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
0코레일분당가천대1134.6
1코레일분당가천대1124.3
2코레일분당가천대1114.6
3코레일분당가천대1145.0
4코레일분당가천대1214.8
5코레일분당가천대1224.4
6코레일분당가천대1232.7
7코레일분당가천대1243.5
8코레일분당가천대1313.8
9코레일분당가천대1323.1
철도운영기관명선명역명승강장번호차량순서차량출입문번호안전거리
1766코레일분당한티24110.0
1767코레일분당한티2449.7
1768코레일분당한티2519.4
1769코레일분당한티2529.1
1770코레일분당한티2538.8
1771코레일분당한티2549.5
1772코레일분당한티2618.5
1773코레일분당한티2648.7
1774코레일분당한티2628.7
1775코레일분당한티2639.0