Overview

Dataset statistics

Number of variables7
Number of observations58
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory62.3 B

Variable types

Categorical6
Numeric1

Dataset

Description용인경전철에서 운영하는 노선의 승강장 이격거리에 대한 데이터로 철도운영기관명,선명,역명,승강장번호,차량순서,차량출입문번호,안전거리 등이 있습니다.
Author국가철도공단
URLhttps://www.data.go.kr/data/15041504/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 14:20:06.638946
Analysis finished2023-12-12 14:20:07.073513
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

철도운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
용인경전철
58 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
용인경전철 58
100.0%

Length

2023-12-12T23:20:07.136516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:20:07.228214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용인경전철 58
100.0%

선명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
에버라인
58 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
에버라인 58
100.0%

Length

2023-12-12T23:20:07.331978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:20:07.434828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
에버라인 58
100.0%

역명
Categorical

Distinct15
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
강남대
4 
고진
4 
기흥(백남준아트센터)
4 
김량장
4 
동백
4 
Other values (10)
38 

Length

Max length11
Median length2
Mean length3.6206897
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강남대
2nd row강남대
3rd row강남대
4th row강남대
5th row고진

Common Values

ValueCountFrequency (%)
강남대 4
 
6.9%
고진 4
 
6.9%
기흥(백남준아트센터) 4
 
6.9%
김량장 4
 
6.9%
동백 4
 
6.9%
둔전 4
 
6.9%
명지대 4
 
6.9%
보평 4
 
6.9%
삼가 4
 
6.9%
시청·용인대 4
 
6.9%
Other values (5) 18
31.0%

Length

2023-12-12T23:20:07.541023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강남대 4
 
6.9%
고진 4
 
6.9%
기흥(백남준아트센터 4
 
6.9%
김량장 4
 
6.9%
동백 4
 
6.9%
둔전 4
 
6.9%
명지대 4
 
6.9%
보평 4
 
6.9%
삼가 4
 
6.9%
시청·용인대 4
 
6.9%
Other values (5) 18
31.0%

승강장번호
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
1
30 
2
28 

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 30
51.7%
2 28
48.3%

Length

2023-12-12T23:20:07.662050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:20:07.775155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
51.7%
2 28
48.3%

차량순서
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
1
58 

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 58
100.0%

Length

2023-12-12T23:20:07.891430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:20:07.979153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 58
100.0%

차량출입문번호
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
1
29 
2
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 29
50.0%
2 29
50.0%

Length

2023-12-12T23:20:08.103058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:20:08.212057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
50.0%
2 29
50.0%

안전거리
Real number (ℝ)

Distinct25
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1396552
Minimum5
Maximum7.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-12T23:20:08.306682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.2
Q15.525
median6.1
Q36.8
95-th percentile7.4
Maximum7.8
Range2.8
Interquartile range (IQR)1.275

Descriptive statistics

Standard deviation0.75275859
Coefficient of variation (CV)0.122606
Kurtosis-1.0109498
Mean6.1396552
Median Absolute Deviation (MAD)0.7
Skewness0.32992562
Sum356.1
Variance0.56664549
MonotonicityNot monotonic
2023-12-12T23:20:08.426949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
5.2 6
 
10.3%
6.8 6
 
10.3%
5.7 5
 
8.6%
5.6 4
 
6.9%
6.2 4
 
6.9%
5.3 4
 
6.9%
7.0 3
 
5.2%
6.1 2
 
3.4%
5.8 2
 
3.4%
6.7 2
 
3.4%
Other values (15) 20
34.5%
ValueCountFrequency (%)
5.0 1
 
1.7%
5.1 1
 
1.7%
5.2 6
10.3%
5.3 4
6.9%
5.4 2
 
3.4%
5.5 1
 
1.7%
5.6 4
6.9%
5.7 5
8.6%
5.8 2
 
3.4%
5.9 1
 
1.7%
ValueCountFrequency (%)
7.8 1
 
1.7%
7.6 1
 
1.7%
7.4 2
 
3.4%
7.3 1
 
1.7%
7.2 2
 
3.4%
7.0 3
5.2%
6.8 6
10.3%
6.7 2
 
3.4%
6.6 2
 
3.4%
6.5 1
 
1.7%

Interactions

2023-12-12T23:20:06.822595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:20:08.541323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명승강장번호차량출입문번호안전거리
역명1.0000.0000.0000.801
승강장번호0.0001.0000.0000.351
차량출입문번호0.0000.0001.0000.000
안전거리0.8010.3510.0001.000
2023-12-12T23:20:08.703473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명차량출입문번호승강장번호
역명1.0000.0000.000
차량출입문번호0.0001.0000.000
승강장번호0.0000.0001.000
2023-12-12T23:20:08.819043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
안전거리역명승강장번호차량출입문번호
안전거리1.0000.4110.2830.000
역명0.4111.0000.0000.000
승강장번호0.2830.0001.0000.000
차량출입문번호0.0000.0000.0001.000

Missing values

2023-12-12T23:20:06.931126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:20:07.032533image/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
0용인경전철에버라인강남대1117.4
1용인경전철에버라인강남대1127.8
2용인경전철에버라인강남대2126.6
3용인경전철에버라인강남대2116.6
4용인경전철에버라인고진1127.0
5용인경전철에버라인고진1117.4
6용인경전철에버라인고진2116.2
7용인경전철에버라인고진2126.4
8용인경전철에버라인기흥(백남준아트센터)1116.4
9용인경전철에버라인기흥(백남준아트센터)1125.4
철도운영기관명선명역명승강장번호차량순서차량출입문번호안전거리
48용인경전철에버라인전대·에버랜드1126.2
49용인경전철에버라인전대·에버랜드1116.2
50용인경전철에버라인지석1125.7
51용인경전철에버라인지석1115.6
52용인경전철에버라인지석2126.1
53용인경전철에버라인지석2116.0
54용인경전철에버라인초당1126.8
55용인경전철에버라인초당1116.7
56용인경전철에버라인초당2116.2
57용인경전철에버라인초당2126.3