Overview

Dataset statistics

Number of variables7
Number of observations324
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.1 KiB
Average record size in memory60.4 B

Variable types

Categorical6
Numeric1

Dataset

Description인천교통공사에서 운영하는 2호선의 승강장이격거리에 대한 데이터로 철도운영기관명, 선명, 역명, 승강장번호, 차량순서, 차량출입문번호, 안전거리의 데이터가 있습니다.
Author국가철도공단
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15041508&srcSe=7661IVAWM27C61E190

Alerts

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

Reproduction

Analysis started2024-03-18 05:35:22.709410
Analysis finished2024-03-18 05:35:24.550629
Duration1.84 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

철도운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
인천교통공사
324 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천교통공사 324
100.0%

Length

2024-03-18T14:35:24.615414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:35:24.696775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천교통공사 324
100.0%

선명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
인천2호선
324 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천2호선
2nd row인천2호선
3rd row인천2호선
4th row인천2호선
5th row인천2호선

Common Values

ValueCountFrequency (%)
인천2호선 324
100.0%

Length

2024-03-18T14:35:24.785151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:35:24.871536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천2호선 324
100.0%

역명
Categorical

Distinct27
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
가재울
 
12
가정
 
12
가정중앙시장
 
12
검단사거리
 
12
검단오류
 
12
Other values (22)
264 

Length

Max length7
Median length6
Mean length3.6666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가재울 12
 
3.7%
가정 12
 
3.7%
가정중앙시장 12
 
3.7%
검단사거리 12
 
3.7%
검단오류 12
 
3.7%
검바위 12
 
3.7%
검암 12
 
3.7%
남동구청 12
 
3.7%
독정 12
 
3.7%
마전 12
 
3.7%
Other values (17) 204
63.0%

Length

2024-03-18T14:35:24.957103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가재울 12
 
3.7%
석남 12
 
3.7%
주안 12
 
3.7%
인천시청 12
 
3.7%
인천대공원 12
 
3.7%
인천가좌 12
 
3.7%
운연 12
 
3.7%
왕길 12
 
3.7%
완정 12
 
3.7%
아시아드경기장 12
 
3.7%
Other values (17) 204
63.0%

승강장번호
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
1
162 
2
162 

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 (%)
1 162
50.0%
2 162
50.0%

Length

2024-03-18T14:35:25.054392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:35:25.140373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 162
50.0%
2 162
50.0%

차량순서
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
1
162 
2
162 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 162
50.0%
2 162
50.0%

Length

2024-03-18T14:35:25.227877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:35:25.317347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 162
50.0%
2 162
50.0%

차량출입문번호
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
1
108 
2
108 
3
108 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 108
33.3%
2 108
33.3%
3 108
33.3%

Length

2024-03-18T14:35:25.425150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:35:25.516608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 108
33.3%
2 108
33.3%
3 108
33.3%

안전거리
Real number (ℝ)

Distinct32
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5203704
Minimum3
Maximum8.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-18T14:35:25.622668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.8
Q14.1
median4.5
Q34.7
95-th percentile5.985
Maximum8.4
Range5.4
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.67371149
Coefficient of variation (CV)0.149039
Kurtosis7.5989462
Mean4.5203704
Median Absolute Deviation (MAD)0.3
Skewness2.1681713
Sum1464.6
Variance0.45388717
MonotonicityNot monotonic
2024-03-18T14:35:25.766329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
4.5 59
18.2%
4.0 53
16.4%
4.4 26
 
8.0%
4.2 25
 
7.7%
4.3 20
 
6.2%
4.7 18
 
5.6%
4.8 17
 
5.2%
4.6 16
 
4.9%
5.0 11
 
3.4%
4.9 11
 
3.4%
Other values (22) 68
21.0%
ValueCountFrequency (%)
3.0 1
 
0.3%
3.4 1
 
0.3%
3.5 6
 
1.9%
3.6 3
 
0.9%
3.8 11
 
3.4%
3.9 4
 
1.2%
4.0 53
16.4%
4.1 10
 
3.1%
4.2 25
7.7%
4.3 20
 
6.2%
ValueCountFrequency (%)
8.4 1
 
0.3%
8.3 1
 
0.3%
7.0 2
0.6%
6.7 2
0.6%
6.5 2
0.6%
6.4 1
 
0.3%
6.3 1
 
0.3%
6.1 3
0.9%
6.0 4
1.2%
5.9 2
0.6%

Interactions

2024-03-18T14:35:24.097775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:35:25.872869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명승강장번호차량순서차량출입문번호안전거리
역명1.0000.0000.0000.0000.741
승강장번호0.0001.0000.0000.0000.298
차량순서0.0000.0001.0000.0000.157
차량출입문번호0.0000.0000.0001.0000.386
안전거리0.7410.2980.1570.3861.000
2024-03-18T14:35:25.962994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명차량출입문번호차량순서승강장번호
역명1.0000.0000.0000.000
차량출입문번호0.0001.0000.0000.000
차량순서0.0000.0001.0000.000
승강장번호0.0000.0000.0001.000
2024-03-18T14:35:26.047841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
안전거리역명승강장번호차량순서차량출입문번호
안전거리1.0000.3370.2950.1540.183
역명0.3371.0000.0000.0000.000
승강장번호0.2950.0001.0000.0000.000
차량순서0.1540.0000.0001.0000.000
차량출입문번호0.1830.0000.0000.0001.000

Missing values

2024-03-18T14:35:24.398107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:35:24.490936image/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
0인천교통공사인천2호선가재울1114.8
1인천교통공사인천2호선가재울1124.5
2인천교통공사인천2호선가재울1134.5
3인천교통공사인천2호선가재울1224.5
4인천교통공사인천2호선가재울1234.5
5인천교통공사인천2호선가재울1215.1
6인천교통공사인천2호선가재울2114.7
7인천교통공사인천2호선가재울2124.7
8인천교통공사인천2호선가재울2134.0
9인천교통공사인천2호선가재울2214.5
철도운영기관명선명역명승강장번호차량순서차량출입문번호안전거리
314인천교통공사인천2호선주안국가산단1135.8
315인천교통공사인천2호선주안국가산단1228.4
316인천교통공사인천2호선주안국가산단1216.0
317인천교통공사인천2호선주안국가산단1236.4
318인천교통공사인천2호선주안국가산단2116.0
319인천교통공사인천2호선주안국가산단2125.0
320인천교통공사인천2호선주안국가산단2134.0
321인천교통공사인천2호선주안국가산단2228.3
322인천교통공사인천2호선주안국가산단2236.3
323인천교통공사인천2호선주안국가산단2216.7