Overview

Dataset statistics

Number of variables7
Number of observations170
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.1 KiB
Average record size in memory60.8 B

Variable types

Categorical5
Numeric2

Dataset

Description의정부경전철에서 운영하는 노선의 승강장이격거리에 대한 데이터로 철도운영기관명, 선명, 역명, 승강장이격거리에 대한 승강장번호, 차량순서, 차량출입문번호, 안전거리의 데이터가 있습니다.
Author국가철도공단
URLhttps://www.data.go.kr/data/15041525/fileData.do

Alerts

철도운영기관명 has constant value ""Constant
선명 has constant value ""Constant
차량출입문번호 has constant value ""Constant
안전거리 is highly overall correlated with 역명 and 1 other fieldsHigh correlation
역명 is highly overall correlated with 안전거리High correlation
승강장번호 is highly overall correlated with 안전거리High correlation

Reproduction

Analysis started2023-12-12 18:52:05.495405
Analysis finished2023-12-12 18:52:06.646646
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

철도운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
의정부경전철
170 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의정부경전철 170
100.0%

Length

2023-12-13T03:52:06.760915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:52:06.942969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의정부경전철 170
100.0%

선명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
의정부
170 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의정부 170
100.0%

Length

2023-12-13T03:52:07.117577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:52:07.276549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의정부 170
100.0%

역명
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
경기도청북부청사
12 
경전철의정부
12 
곤제
12 
동오
12 
발곡
12 
Other values (10)
110 

Length

Max length10
Median length2
Mean length3.6941176
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도청북부청사 12
 
7.1%
경전철의정부 12
 
7.1%
곤제 12
 
7.1%
동오 12
 
7.1%
발곡 12
 
7.1%
범골 12
 
7.1%
새말 12
 
7.1%
어룡(용현산업단지) 12
 
7.1%
의정부시청 12
 
7.1%
의정부중앙 12
 
7.1%
Other values (5) 50
29.4%

Length

2023-12-13T03:52:07.459203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도청북부청사 12
 
7.1%
경전철의정부 12
 
7.1%
곤제 12
 
7.1%
동오 12
 
7.1%
발곡 12
 
7.1%
범골 12
 
7.1%
새말 12
 
7.1%
어룡(용현산업단지 12
 
7.1%
의정부시청 12
 
7.1%
의정부중앙 12
 
7.1%
Other values (5) 50
29.4%

승강장번호
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
85 
2
85 

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 85
50.0%
2 85
50.0%

Length

2023-12-13T03:52:07.649173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:52:07.817101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 85
50.0%
2 85
50.0%

차량순서
Real number (ℝ)

Distinct6
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4705882
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T03:52:07.972145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7240947
Coefficient of variation (CV)0.49677306
Kurtosis-1.2835101
Mean3.4705882
Median Absolute Deviation (MAD)2
Skewness0.015281413
Sum590
Variance2.9725026
MonotonicityNot monotonic
2023-12-13T03:52:08.708147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 30
17.6%
2 28
16.5%
3 28
16.5%
4 28
16.5%
5 28
16.5%
6 28
16.5%
ValueCountFrequency (%)
1 30
17.6%
2 28
16.5%
3 28
16.5%
4 28
16.5%
5 28
16.5%
6 28
16.5%
ValueCountFrequency (%)
6 28
16.5%
5 28
16.5%
4 28
16.5%
3 28
16.5%
2 28
16.5%
1 30
17.6%

차량출입문번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
170 

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 (%)
1 170
100.0%

Length

2023-12-13T03:52:08.944016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:52:09.125035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 170
100.0%

안전거리
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9317647
Minimum3.4
Maximum4.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T03:52:09.290488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile3.5
Q13.5
median4
Q34
95-th percentile4.5
Maximum4.7
Range1.3
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.38360229
Coefficient of variation (CV)0.097564914
Kurtosis-0.9874043
Mean3.9317647
Median Absolute Deviation (MAD)0.4
Skewness0.39149114
Sum668.4
Variance0.14715071
MonotonicityNot monotonic
2023-12-13T03:52:09.495144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4.0 55
32.4%
3.5 42
24.7%
4.5 30
17.6%
3.7 12
 
7.1%
3.8 7
 
4.1%
3.4 6
 
3.5%
4.7 6
 
3.5%
3.6 6
 
3.5%
4.2 6
 
3.5%
ValueCountFrequency (%)
3.4 6
 
3.5%
3.5 42
24.7%
3.6 6
 
3.5%
3.7 12
 
7.1%
3.8 7
 
4.1%
4.0 55
32.4%
4.2 6
 
3.5%
4.5 30
17.6%
4.7 6
 
3.5%
ValueCountFrequency (%)
4.7 6
 
3.5%
4.5 30
17.6%
4.2 6
 
3.5%
4.0 55
32.4%
3.8 7
 
4.1%
3.7 12
 
7.1%
3.6 6
 
3.5%
3.5 42
24.7%
3.4 6
 
3.5%

Interactions

2023-12-13T03:52:06.059555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:52:05.750738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:52:06.218695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:52:05.890217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:52:09.637805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명승강장번호차량순서안전거리
역명1.0000.0000.0000.902
승강장번호0.0001.0000.0000.851
차량순서0.0000.0001.0000.000
안전거리0.9020.8510.0001.000
2023-12-13T03:52:09.853059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
승강장번호역명
승강장번호1.0000.000
역명0.0001.000
2023-12-13T03:52:09.969237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차량순서안전거리역명승강장번호
차량순서1.0000.0000.0000.000
안전거리0.0001.0000.6660.659
역명0.0000.6661.0000.000
승강장번호0.0000.6590.0001.000

Missing values

2023-12-13T03:52:06.409220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:52:06.574691image/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
0의정부경전철의정부경기도청북부청사1114.0
1의정부경전철의정부경기도청북부청사1214.0
2의정부경전철의정부경기도청북부청사1314.0
3의정부경전철의정부경기도청북부청사1414.0
4의정부경전철의정부경기도청북부청사1514.0
5의정부경전철의정부경기도청북부청사1614.0
6의정부경전철의정부경기도청북부청사2114.0
7의정부경전철의정부경기도청북부청사2214.0
8의정부경전철의정부경기도청북부청사2314.0
9의정부경전철의정부경기도청북부청사2414.0
철도운영기관명선명역명승강장번호차량순서차량출입문번호안전거리
160의정부경전철의정부흥선1314.2
161의정부경전철의정부흥선1414.2
162의정부경전철의정부흥선1514.2
163의정부경전철의정부흥선1614.2
164의정부경전철의정부흥선2114.0
165의정부경전철의정부흥선2214.0
166의정부경전철의정부흥선2314.0
167의정부경전철의정부흥선2414.0
168의정부경전철의정부흥선2514.0
169의정부경전철의정부흥선2614.0