Overview

Dataset statistics

Number of variables5
Number of observations376
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.2 KiB
Average record size in memory41.4 B

Variable types

Categorical3
Numeric1
Text1

Dataset

Description수도권9호선에 포함된 도시광역철도역들의 철도운영기관명,선명,역명,출구번호,출구별 주요시설명 등의 데이터 입니다.
Author국가철도공단
URLhttps://www.data.go.kr/data/15073454/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 14:20:53.708879
Analysis finished2023-12-12 14:20:54.187550
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

철도운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
서울시메트로9호선주식회사
376 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울시메트로9호선주식회사
2nd row서울시메트로9호선주식회사
3rd row서울시메트로9호선주식회사
4th row서울시메트로9호선주식회사
5th row서울시메트로9호선주식회사

Common Values

ValueCountFrequency (%)
서울시메트로9호선주식회사 376
100.0%

Length

2023-12-12T23:20:54.253273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:20:54.349372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울시메트로9호선주식회사 376
100.0%

선명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
9호선
376 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9호선
2nd row9호선
3rd row9호선
4th row9호선
5th row9호선

Common Values

ValueCountFrequency (%)
9호선 376
100.0%

Length

2023-12-12T23:20:54.445186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:20:54.531070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9호선 376
100.0%

역명
Categorical

Distinct31
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
양천향교
 
25
등촌
 
21
삼전
 
20
가양
 
19
선유도
 
19
Other values (26)
272 

Length

Max length11
Median length9
Mean length3.5452128
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
양천향교 25
 
6.6%
등촌 21
 
5.6%
삼전 20
 
5.3%
가양 19
 
5.1%
선유도 19
 
5.1%
봉은사 19
 
5.1%
국회의사당 17
 
4.5%
올림픽공원(한국체대) 16
 
4.3%
송파나루 15
 
4.0%
한성백제 14
 
3.7%
Other values (21) 191
50.8%

Length

2023-12-12T23:20:54.616133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양천향교 25
 
6.6%
등촌 21
 
5.6%
삼전 20
 
5.3%
가양 19
 
5.1%
선유도 19
 
5.1%
봉은사 19
 
5.1%
국회의사당 17
 
4.5%
올림픽공원(한국체대 16
 
4.3%
송파나루 15
 
4.0%
한성백제 14
 
3.7%
Other values (21) 191
50.8%

출구번호
Real number (ℝ)

Distinct10
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2606383
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T23:20:54.707798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile7
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0202029
Coefficient of variation (CV)0.61957284
Kurtosis0.19481167
Mean3.2606383
Median Absolute Deviation (MAD)1
Skewness0.8931083
Sum1226
Variance4.0812199
MonotonicityNot monotonic
2023-12-12T23:20:54.795553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 84
22.3%
2 76
20.2%
3 74
19.7%
4 58
15.4%
6 25
 
6.6%
5 24
 
6.4%
7 20
 
5.3%
8 11
 
2.9%
9 2
 
0.5%
10 2
 
0.5%
ValueCountFrequency (%)
1 84
22.3%
2 76
20.2%
3 74
19.7%
4 58
15.4%
5 24
 
6.4%
6 25
 
6.6%
7 20
 
5.3%
8 11
 
2.9%
9 2
 
0.5%
10 2
 
0.5%
ValueCountFrequency (%)
10 2
 
0.5%
9 2
 
0.5%
8 11
 
2.9%
7 20
 
5.3%
6 25
 
6.6%
5 24
 
6.4%
4 58
15.4%
3 74
19.7%
2 76
20.2%
1 84
22.3%

출구별 주요시설명
Text

Distinct320
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T23:20:55.060208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length6.6170213
Min length2

Characters and Unicode

Total characters2488
Distinct characters288
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

Unique274 ?
Unique (%)72.9%

Sample

1st row가양4/ 5 종합사회복지관
2nd row홈플러스
3rd row우성아파트
4th row가양대교
5th row가양아파트 5단지
ValueCountFrequency (%)
주민센터 6
 
1.5%
방면 6
 
1.5%
개화119 4
 
1.0%
이마트 4
 
1.0%
석촌호수 4
 
1.0%
올림픽공원 4
 
1.0%
강서소방서 3
 
0.7%
경기고등학교 3
 
0.7%
개화파출소 3
 
0.7%
양평2동 3
 
0.7%
Other values (323) 373
90.3%
2023-12-12T23:20:55.457123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 73
 
2.9%
동 72
 
2.9%
학 66
 
2.7%
원 60
 
2.4%
공 53
 
2.1%
서 51
 
2.0%
등 51
 
2.0%
방 48
 
1.9%
파 46
 
1.8%
국 38
 
1.5%
Other values (278) 1930
77.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2341
94.1%
Decimal Number 66
 
2.7%
Space Separator 38
 
1.5%
Uppercase Letter 30
 
1.2%
Other Punctuation 7
 
0.3%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 73
 
3.1%
동 72
 
3.1%
학 66
 
2.8%
원 60
 
2.6%
공 53
 
2.3%
서 51
 
2.2%
등 51
 
2.2%
방 48
 
2.1%
파 46
 
2.0%
국 38
 
1.6%
Other values (257) 1783
76.2%
Uppercase Letter
ValueCountFrequency (%)
B 8
26.7%
S 8
26.7%
K 6
20.0%
C 3
 
10.0%
T 1
 
3.3%
H 1
 
3.3%
N 1
 
3.3%
M 1
 
3.3%
I 1
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 30
45.5%
2 14
21.2%
9 11
 
16.7%
3 5
 
7.6%
5 2
 
3.0%
4 2
 
3.0%
8 1
 
1.5%
6 1
 
1.5%
Space Separator
ValueCountFrequency (%)
38
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2341
94.1%
Common 117
 
4.7%
Latin 30
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 73
 
3.1%
동 72
 
3.1%
학 66
 
2.8%
원 60
 
2.6%
공 53
 
2.3%
서 51
 
2.2%
등 51
 
2.2%
방 48
 
2.1%
파 46
 
2.0%
국 38
 
1.6%
Other values (257) 1783
76.2%
Common
ValueCountFrequency (%)
38
32.5%
1 30
25.6%
2 14
 
12.0%
9 11
 
9.4%
/ 7
 
6.0%
3 5
 
4.3%
( 3
 
2.6%
) 3
 
2.6%
5 2
 
1.7%
4 2
 
1.7%
Other values (2) 2
 
1.7%
Latin
ValueCountFrequency (%)
B 8
26.7%
S 8
26.7%
K 6
20.0%
C 3
 
10.0%
T 1
 
3.3%
H 1
 
3.3%
N 1
 
3.3%
M 1
 
3.3%
I 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2341
94.1%
ASCII 147
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 73
 
3.1%
동 72
 
3.1%
학 66
 
2.8%
원 60
 
2.6%
공 53
 
2.3%
서 51
 
2.2%
등 51
 
2.2%
방 48
 
2.1%
파 46
 
2.0%
국 38
 
1.6%
Other values (257) 1783
76.2%
ASCII
ValueCountFrequency (%)
38
25.9%
1 30
20.4%
2 14
 
9.5%
9 11
 
7.5%
B 8
 
5.4%
S 8
 
5.4%
/ 7
 
4.8%
K 6
 
4.1%
3 5
 
3.4%
( 3
 
2.0%
Other values (11) 17
11.6%

Interactions

2023-12-12T23:20:53.915834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:20:55.542992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명출구번호
역명1.0000.261
출구번호0.2611.000
2023-12-12T23:20:55.613688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출구번호역명
출구번호1.0000.091
역명0.0911.000

Missing values

2023-12-12T23:20:54.043087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:20:54.144233image/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

철도운영기관명선명역명출구번호출구별 주요시설명
0서울시메트로9호선주식회사9호선가양1가양4/ 5 종합사회복지관
1서울시메트로9호선주식회사9호선가양1홈플러스
2서울시메트로9호선주식회사9호선가양2우성아파트
3서울시메트로9호선주식회사9호선가양3가양대교
4서울시메트로9호선주식회사9호선가양3가양아파트 5단지
5서울시메트로9호선주식회사9호선가양4가양대교
6서울시메트로9호선주식회사9호선가양4가양아파트 8단지
7서울시메트로9호선주식회사9호선가양5가양3동현대아파트
8서울시메트로9호선주식회사9호선가양5강서구견인차량보관소
9서울시메트로9호선주식회사9호선가양5이마트
철도운영기관명선명역명출구번호출구별 주요시설명
366서울시메트로9호선주식회사9호선중앙보훈병원1둔촌고등학교
367서울시메트로9호선주식회사9호선중앙보훈병원1서울한산초등학교
368서울시메트로9호선주식회사9호선중앙보훈병원1한산중학교
369서울시메트로9호선주식회사9호선중앙보훈병원2중앙보훈병원
370서울시메트로9호선주식회사9호선중앙보훈병원2생태공원앞교차로 방면
371서울시메트로9호선주식회사9호선중앙보훈병원3일자산
372서울시메트로9호선주식회사9호선중앙보훈병원3일자산도시자연공원
373서울시메트로9호선주식회사9호선중앙보훈병원3일자산제1체육관
374서울시메트로9호선주식회사9호선중앙보훈병원3강동구도시농업공원
375서울시메트로9호선주식회사9호선중앙보훈병원3일자산허브천문공원 방면