Overview

Dataset statistics

Number of variables6
Number of observations80
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory50.6 B

Variable types

Categorical5
Text1

Dataset

Description대전교통공사에서 관리하는 도시광역철도역들의 철도운영기관명, 선명, 역명, 비상사다리의 역층, 상세위치의 데이터가 있습니다.
Author국가철도공단
URLhttps://www.data.go.kr/data/15041464/fileData.do

Alerts

철도운영기관명 has constant value ""Constant
선명 has constant value ""Constant
지상지하 has constant value ""Constant
역명 is highly overall correlated with 역층High correlation
역층 is highly overall correlated with 역명High correlation

Reproduction

Analysis started2023-12-12 14:38:21.744599
Analysis finished2023-12-12 14:38:22.142545
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

철도운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
대전교통공사
80 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대전교통공사 80
100.0%

Length

2023-12-12T23:38:22.220444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:38:22.337098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전교통공사 80
100.0%

선명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
1호선
80 

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 80
100.0%

Length

2023-12-12T23:38:22.450654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:38:22.580193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1호선 80
100.0%

역명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
판암
 
4
갈마
 
4
반석
 
4
중앙로
 
4
오룡
 
4
Other values (17)
60 

Length

Max length6
Median length2
Mean length2.65
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row판암
2nd row판암
3rd row판암
4th row판암
5th row신흥

Common Values

ValueCountFrequency (%)
판암 4
 
5.0%
갈마 4
 
5.0%
반석 4
 
5.0%
중앙로 4
 
5.0%
오룡 4
 
5.0%
용문 4
 
5.0%
탄방 4
 
5.0%
시청 4
 
5.0%
신흥 4
 
5.0%
정부청사 4
 
5.0%
Other values (12) 40
50.0%

Length

2023-12-12T23:38:22.693545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
판암 4
 
5.0%
월평 4
 
5.0%
지족 4
 
5.0%
노은 4
 
5.0%
월드컵경기장 4
 
5.0%
현충원 4
 
5.0%
구암 4
 
5.0%
유성온천 4
 
5.0%
갈마 4
 
5.0%
갑천 4
 
5.0%
Other values (12) 40
50.0%

지상지하
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
지하
80 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지하 80
100.0%

Length

2023-12-12T23:38:22.817524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:38:22.922965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하 80
100.0%

역층
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2
64 
5
3
 
6
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 64
80.0%
5 8
 
10.0%
3 6
 
7.5%
4 2
 
2.5%

Length

2023-12-12T23:38:23.032413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:38:23.142541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 64
80.0%
5 8
 
10.0%
3 6
 
7.5%
4 2
 
2.5%
Distinct79
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T23:38:23.339518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length39
Mean length32.5875
Min length28

Characters and Unicode

Total characters2607
Distinct characters80
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)97.5%

Sample

1st row(B2) 판암 방면(상행) 승강장 1-1 출입문(승강장 선두) 근처
2nd row(B2) 판암 방면(상행) 승강장 후미 끝부분 근처
3rd row(B2) 신흥 방면(하행) 승강장 1-1 출입문(승강장 선두) 근처
4th row(B2) 신흥 방면(하행) 승강장 후미 끝부분 근처
5th row(B3) 판암 방면(상행) 승강장 1-1 출입문(승강장 선두) 근처
ValueCountFrequency (%)
승강장 80
13.5%
근처 80
13.5%
b2 64
10.8%
방면(상행 42
 
7.1%
1-1 39
 
6.6%
방면(하행 38
 
6.4%
끝부분 38
 
6.4%
후미 36
 
6.1%
선두 35
 
5.9%
출입문(승강장 33
 
5.6%
Other values (30) 109
18.4%
2023-12-12T23:38:23.713773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
514
19.7%
( 194
 
7.4%
) 194
 
7.4%
117
 
4.5%
113
 
4.3%
113
 
4.3%
84
 
3.2%
81
 
3.1%
80
 
3.1%
B 80
 
3.1%
Other values (70) 1037
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1419
54.4%
Space Separator 514
 
19.7%
Open Punctuation 194
 
7.4%
Close Punctuation 194
 
7.4%
Decimal Number 164
 
6.3%
Uppercase Letter 80
 
3.1%
Dash Punctuation 42
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
117
 
8.2%
113
 
8.0%
113
 
8.0%
84
 
5.9%
81
 
5.7%
80
 
5.6%
80
 
5.6%
80
 
5.6%
46
 
3.2%
43
 
3.0%
Other values (60) 582
41.0%
Decimal Number
ValueCountFrequency (%)
1 79
48.2%
2 64
39.0%
5 8
 
4.9%
3 7
 
4.3%
4 6
 
3.7%
Space Separator
ValueCountFrequency (%)
514
100.0%
Open Punctuation
ValueCountFrequency (%)
( 194
100.0%
Close Punctuation
ValueCountFrequency (%)
) 194
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1419
54.4%
Common 1108
42.5%
Latin 80
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
117
 
8.2%
113
 
8.0%
113
 
8.0%
84
 
5.9%
81
 
5.7%
80
 
5.6%
80
 
5.6%
80
 
5.6%
46
 
3.2%
43
 
3.0%
Other values (60) 582
41.0%
Common
ValueCountFrequency (%)
514
46.4%
( 194
 
17.5%
) 194
 
17.5%
1 79
 
7.1%
2 64
 
5.8%
- 42
 
3.8%
5 8
 
0.7%
3 7
 
0.6%
4 6
 
0.5%
Latin
ValueCountFrequency (%)
B 80
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1419
54.4%
ASCII 1188
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
514
43.3%
( 194
 
16.3%
) 194
 
16.3%
B 80
 
6.7%
1 79
 
6.6%
2 64
 
5.4%
- 42
 
3.5%
5 8
 
0.7%
3 7
 
0.6%
4 6
 
0.5%
Hangul
ValueCountFrequency (%)
117
 
8.2%
113
 
8.0%
113
 
8.0%
84
 
5.9%
81
 
5.7%
80
 
5.6%
80
 
5.6%
80
 
5.6%
46
 
3.2%
43
 
3.0%
Other values (60) 582
41.0%

Correlations

2023-12-12T23:38:23.812244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명역층상세위치
역명1.0001.0000.981
역층1.0001.0001.000
상세위치0.9811.0001.000
2023-12-12T23:38:23.936506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명역층
역명1.0000.874
역층0.8741.000
2023-12-12T23:38:24.030212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명역층
역명1.0000.874
역층0.8741.000

Missing values

2023-12-12T23:38:21.965893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:38:22.076052image/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

철도운영기관명선명역명지상지하역층상세위치
0대전교통공사1호선판암지하2(B2) 판암 방면(상행) 승강장 1-1 출입문(승강장 선두) 근처
1대전교통공사1호선판암지하2(B2) 판암 방면(상행) 승강장 후미 끝부분 근처
2대전교통공사1호선판암지하2(B2) 신흥 방면(하행) 승강장 1-1 출입문(승강장 선두) 근처
3대전교통공사1호선판암지하2(B2) 신흥 방면(하행) 승강장 후미 끝부분 근처
4대전교통공사1호선신흥지하3(B3) 판암 방면(상행) 승강장 1-1 출입문(승강장 선두) 근처
5대전교통공사1호선신흥지하3(B3) 판암 방면(상행) 승강장 후미 끝부분 근처
6대전교통공사1호선신흥지하3(B3) 대동 방면(하행) 승강장 1-1 출입문(승강장 선두) 근처
7대전교통공사1호선신흥지하3(B3) 대동 방면(하행) 승강장 후미 끝부분 근처
8대전교통공사1호선대동지하3(B3) 신흥 방면(상행) 승강장 1-1 출입문 근처
9대전교통공사1호선대동지하3(B3) 신흥 방면(상행) 승강장 4-4 출입문 근처
철도운영기관명선명역명지상지하역층상세위치
70대전교통공사1호선노은지하2(B2) 지족 방면(하행) 승강장 1-1 출입문(승강장 선두) 근처
71대전교통공사1호선노은지하2(B2) 지족 방면(하행) 승강장 후미 끝부분 근처
72대전교통공사1호선지족지하2(B2) 노은 방면(상행) 승강장 1-1 출입문(승강장 선두) 근처
73대전교통공사1호선지족지하2(B2) 노은 방면(상행) 승강장 후미 끝부분 근처
74대전교통공사1호선지족지하2(B2) 반석 방면(하행) 승강장 1-1 출입문(승강장 선두) 근처
75대전교통공사1호선지족지하2(B2) 반석 방면(하행) 승강장 후미 끝부분 근처
76대전교통공사1호선반석지하2(B2) 지족 방면(상행) 승강장 선두 끝부분 근처
77대전교통공사1호선반석지하2(B2) 지족 방면(상행) 승강장 후미 끝부분 근처
78대전교통공사1호선반석지하2(B2) 반석 방면(하행) 승강장 선두 끝부분 근처
79대전교통공사1호선반석지하2(B2) 반석 방면(하행) 승강장 후미 끝부분 근처