Overview

Dataset statistics

Number of variables7
Number of observations1632
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory95.8 KiB
Average record size in memory60.1 B

Variable types

Categorical5
Numeric2

Dataset

Description부산교통공사에서 운영하는 부산1호선의 승강장 이격거리에 대한 데이터로 철도운영기관명, 선명, 역명, 승강장이격거리에 대한 승강장번호, 차량순서, 차량출입문번호, 안전거리의 데이터가 있습니다.
Author국가철도공단
URLhttps://www.data.go.kr/data/15041494/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 04:43:10.609074
Analysis finished2023-12-12 04:43:12.152487
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

철도운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
부산교통공사
1632 

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 1632
100.0%

Length

2023-12-12T13:43:12.242027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:43:12.379777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산교통공사 1632
100.0%

선명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
1호선
1632 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1호선
2nd row1호선
3rd row1호선
4th row1호선
5th row1호선

Common Values

ValueCountFrequency (%)
1호선 1632
100.0%

Length

2023-12-12T13:43:12.524658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:43:12.661056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1호선 1632
100.0%

역명
Categorical

Distinct34
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
괴정
 
48
동래
 
48
부산
 
48
범일
 
48
범어사
 
48
Other values (29)
1392 

Length

Max length16
Median length2
Mean length4.1470588
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
괴정 48
 
2.9%
동래 48
 
2.9%
부산 48
 
2.9%
범일 48
 
2.9%
범어사 48
 
2.9%
범내골 48
 
2.9%
명륜 48
 
2.9%
두실 48
 
2.9%
동대신 48
 
2.9%
연산 48
 
2.9%
Other values (24) 1152
70.6%

Length

2023-12-12T13:43:12.825521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
괴정 48
 
2.9%
교대 48
 
2.9%
토성 48
 
2.9%
초량 48
 
2.9%
중앙 48
 
2.9%
좌천 48
 
2.9%
장전(부산가톨릭대학교 48
 
2.9%
자갈치 48
 
2.9%
온천장 48
 
2.9%
동래 48
 
2.9%
Other values (24) 1152
70.6%

승강장번호
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
1
816 
2
816 

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 (%)
1 816
50.0%
2 816
50.0%

Length

2023-12-12T13:43:12.984304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:43:13.138310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 816
50.0%
2 816
50.0%

차량순서
Real number (ℝ)

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.5 KiB
2023-12-12T13:43:13.272784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median4.5
Q36.25
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.2919902
Coefficient of variation (CV)0.50933115
Kurtosis-1.2382113
Mean4.5
Median Absolute Deviation (MAD)2
Skewness0
Sum7344
Variance5.2532189
MonotonicityNot monotonic
2023-12-12T13:43:13.406492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 204
12.5%
2 204
12.5%
3 204
12.5%
4 204
12.5%
5 204
12.5%
6 204
12.5%
7 204
12.5%
8 204
12.5%
ValueCountFrequency (%)
1 204
12.5%
2 204
12.5%
3 204
12.5%
4 204
12.5%
5 204
12.5%
6 204
12.5%
7 204
12.5%
8 204
12.5%
ValueCountFrequency (%)
8 204
12.5%
7 204
12.5%
6 204
12.5%
5 204
12.5%
4 204
12.5%
3 204
12.5%
2 204
12.5%
1 204
12.5%

차량출입문번호
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
1
544 
3
544 
2
544 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 544
33.3%
3 544
33.3%
2 544
33.3%

Length

2023-12-12T13:43:13.566224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:43:13.699029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 544
33.3%
3 544
33.3%
2 544
33.3%

안전거리
Real number (ℝ)

Distinct79
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6004289
Minimum3
Maximum18.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.5 KiB
2023-12-12T13:43:13.889045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.5
Q15
median5.5
Q37.2
95-th percentile12.5
Maximum18.5
Range15.5
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation2.6393929
Coefficient of variation (CV)0.39988202
Kurtosis3.8244904
Mean6.6004289
Median Absolute Deviation (MAD)0.6
Skewness1.9472034
Sum10771.9
Variance6.9663947
MonotonicityNot monotonic
2023-12-12T13:43:14.062777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.0 281
17.2%
5.5 221
 
13.5%
4.5 132
 
8.1%
6.0 120
 
7.4%
7.0 51
 
3.1%
6.5 50
 
3.1%
8.0 46
 
2.8%
5.2 45
 
2.8%
4.0 41
 
2.5%
5.3 41
 
2.5%
Other values (69) 604
37.0%
ValueCountFrequency (%)
3.0 5
 
0.3%
3.2 2
 
0.1%
3.3 1
 
0.1%
3.5 6
 
0.4%
3.6 1
 
0.1%
3.7 2
 
0.1%
3.8 5
 
0.3%
3.9 1
 
0.1%
4.0 41
2.5%
4.1 1
 
0.1%
ValueCountFrequency (%)
18.5 2
 
0.1%
18.0 4
0.2%
17.5 5
0.3%
17.0 5
0.3%
16.5 4
0.2%
16.0 9
0.6%
15.5 2
 
0.1%
15.0 2
 
0.1%
14.5 2
 
0.1%
14.0 8
0.5%

Interactions

2023-12-12T13:43:11.239478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:43:10.926973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:43:11.711644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:43:11.085449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:43:14.190522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명승강장번호차량순서차량출입문번호안전거리
역명1.0000.0000.0000.0000.735
승강장번호0.0001.0000.0000.0000.161
차량순서0.0000.0001.0000.0000.000
차량출입문번호0.0000.0000.0001.0000.235
안전거리0.7350.1610.0000.2351.000
2023-12-12T13:43:14.314080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명승강장번호차량출입문번호
역명1.0000.0000.000
승강장번호0.0001.0000.000
차량출입문번호0.0000.0001.000
2023-12-12T13:43:14.414811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차량순서안전거리역명승강장번호차량출입문번호
차량순서1.0000.0290.0000.0000.000
안전거리0.0291.0000.3600.1230.144
역명0.0000.3601.0000.0000.000
승강장번호0.0000.1230.0001.0000.000
차량출입문번호0.0000.1440.0000.0001.000

Missing values

2023-12-12T13:43:11.930954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:43:12.095048image/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
0부산교통공사1호선괴정1119.0
1부산교통공사1호선괴정1137.5
2부산교통공사1호선괴정1128.0
3부산교통공사1호선괴정1235.5
4부산교통공사1호선괴정1217.0
5부산교통공사1호선괴정1226.5
6부산교통공사1호선괴정1315.0
7부산교통공사1호선괴정1324.5
8부산교통공사1호선괴정1335.0
9부산교통공사1호선괴정1435.5
철도운영기관명선명역명승강장번호차량순서차량출입문번호안전거리
1622부산교통공사1호선하단(부산본병원)2515.5
1623부산교통공사1호선하단(부산본병원)2614.0
1624부산교통공사1호선하단(부산본병원)2635.0
1625부산교통공사1호선하단(부산본병원)2624.5
1626부산교통공사1호선하단(부산본병원)2725.0
1627부산교통공사1호선하단(부산본병원)2716.0
1628부산교통공사1호선하단(부산본병원)2734.5
1629부산교통공사1호선하단(부산본병원)2835.0
1630부산교통공사1호선하단(부산본병원)2815.0
1631부산교통공사1호선하단(부산본병원)2825.0