Overview

Dataset statistics

Number of variables7
Number of observations816
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.9 KiB
Average record size in memory60.2 B

Variable types

Categorical5
Numeric2

Dataset

Description서울교통공사에서 운영하논 수도권8호선의 승강장이격거리에 대한 데이터로 철도운영기관명,선명,역명,승강장번호,차량순서,차량출입문번호,안전거리 등이 있습니다.
Author국가철도공단
URLhttps://www.data.go.kr/data/15041521/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 01:29:31.088126
Analysis finished2023-12-12 01:29:32.191129
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

철도운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
서울교통공사
816 

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 816
100.0%

Length

2023-12-12T10:29:32.298885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:29:32.427113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울교통공사 816
100.0%

선명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
8호선
816 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8호선
2nd row8호선
3rd row8호선
4th row8호선
5th row8호선

Common Values

ValueCountFrequency (%)
8호선 816
100.0%

Length

2023-12-12T10:29:32.580712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:29:32.693884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
8호선 816
100.0%

역명
Categorical

Distinct17
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
가락시장
 
48
강동구청
 
48
남한산성입구(성남법원·검찰청)
 
48
단대오거리
 
48
모란
 
48
Other values (12)
576 

Length

Max length16
Median length2
Mean length4.4117647
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가락시장 48
 
5.9%
강동구청 48
 
5.9%
남한산성입구(성남법원·검찰청) 48
 
5.9%
단대오거리 48
 
5.9%
모란 48
 
5.9%
몽촌토성(평화의문) 48
 
5.9%
문정 48
 
5.9%
복정 48
 
5.9%
산성 48
 
5.9%
석촌 48
 
5.9%
Other values (7) 336
41.2%

Length

2023-12-12T10:29:32.825233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가락시장 48
 
5.9%
석촌 48
 
5.9%
장지 48
 
5.9%
잠실(송파구청 48
 
5.9%
암사 48
 
5.9%
신흥 48
 
5.9%
수진 48
 
5.9%
송파 48
 
5.9%
산성 48
 
5.9%
강동구청 48
 
5.9%
Other values (7) 336
41.2%

승강장번호
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
1
408 
2
408 

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 (%)
1 408
50.0%
2 408
50.0%

Length

2023-12-12T10:29:32.947841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:29:33.068367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 408
50.0%
2 408
50.0%

차량순서
Real number (ℝ)

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-12T10:29:33.187793image/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 deviation1.7088726
Coefficient of variation (CV)0.4882493
Kurtosis-1.2689898
Mean3.5
Median Absolute Deviation (MAD)1.5
Skewness0
Sum2856
Variance2.9202454
MonotonicityNot monotonic
2023-12-12T10:29:33.300266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 136
16.7%
2 136
16.7%
3 136
16.7%
4 136
16.7%
5 136
16.7%
6 136
16.7%
ValueCountFrequency (%)
1 136
16.7%
2 136
16.7%
3 136
16.7%
4 136
16.7%
5 136
16.7%
6 136
16.7%
ValueCountFrequency (%)
6 136
16.7%
5 136
16.7%
4 136
16.7%
3 136
16.7%
2 136
16.7%
1 136
16.7%

차량출입문번호
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
3
204 
2
204 
1
204 
4
204 

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 (%)
3 204
25.0%
2 204
25.0%
1 204
25.0%
4 204
25.0%

Length

2023-12-12T10:29:33.429004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:29:33.559044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 204
25.0%
2 204
25.0%
1 204
25.0%
4 204
25.0%

안전거리
Real number (ℝ)

Distinct16
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5490196
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-12T10:29:33.681879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q18
median9
Q39
95-th percentile12
Maximum17
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.0104144
Coefficient of variation (CV)0.23516315
Kurtosis2.3264664
Mean8.5490196
Median Absolute Deviation (MAD)0
Skewness0.315083
Sum6976
Variance4.0417659
MonotonicityNot monotonic
2023-12-12T10:29:33.812068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
9 422
51.7%
8 112
 
13.7%
5 78
 
9.6%
6 49
 
6.0%
10 42
 
5.1%
7 32
 
3.9%
11 21
 
2.6%
12 18
 
2.2%
13 14
 
1.7%
15 13
 
1.6%
Other values (6) 15
 
1.8%
ValueCountFrequency (%)
1 2
 
0.2%
3 1
 
0.1%
4 5
 
0.6%
5 78
 
9.6%
6 49
 
6.0%
7 32
 
3.9%
8 112
 
13.7%
9 422
51.7%
10 42
 
5.1%
11 21
 
2.6%
ValueCountFrequency (%)
17 1
 
0.1%
16 2
 
0.2%
15 13
 
1.6%
14 4
 
0.5%
13 14
 
1.7%
12 18
 
2.2%
11 21
 
2.6%
10 42
 
5.1%
9 422
51.7%
8 112
 
13.7%

Interactions

2023-12-12T10:29:31.625790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:29:31.359496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:29:31.759503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:29:31.492232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:29:33.916564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명승강장번호차량순서차량출입문번호안전거리
역명1.0000.0000.0000.0000.748
승강장번호0.0001.0000.0000.0000.291
차량순서0.0000.0001.0000.0000.136
차량출입문번호0.0000.0000.0001.0000.135
안전거리0.7480.2910.1360.1351.000
2023-12-12T10:29:34.017143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명승강장번호차량출입문번호
역명1.0000.0000.000
승강장번호0.0001.0000.000
차량출입문번호0.0000.0001.000
2023-12-12T10:29:34.114570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차량순서안전거리역명승강장번호차량출입문번호
차량순서1.0000.0810.0000.0000.000
안전거리0.0811.0000.4260.2480.085
역명0.0000.4261.0000.0000.000
승강장번호0.0000.2480.0001.0000.000
차량출입문번호0.0000.0850.0000.0001.000

Missing values

2023-12-12T10:29:31.964010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:29:32.124956image/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
0서울교통공사8호선가락시장1139
1서울교통공사8호선가락시장1129
2서울교통공사8호선가락시장1118
3서울교통공사8호선가락시장1149
4서울교통공사8호선가락시장1219
5서울교통공사8호선가락시장1229
6서울교통공사8호선가락시장1249
7서울교통공사8호선가락시장1239
8서울교통공사8호선가락시장1329
9서울교통공사8호선가락시장1339
철도운영기관명선명역명승강장번호차량순서차량출입문번호안전거리
806서울교통공사8호선천호(풍납토성)2446
807서울교통공사8호선천호(풍납토성)2436
808서울교통공사8호선천호(풍납토성)2515
809서울교통공사8호선천호(풍납토성)2525
810서울교통공사8호선천호(풍납토성)2535
811서울교통공사8호선천호(풍납토성)2545
812서울교통공사8호선천호(풍납토성)2615
813서울교통공사8호선천호(풍납토성)2635
814서울교통공사8호선천호(풍납토성)2626
815서울교통공사8호선천호(풍납토성)2646