Overview

Dataset statistics

Number of variables5
Number of observations387
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.6 KiB
Average record size in memory41.3 B

Variable types

Categorical3
Numeric1
Text1

Dataset

Description대전교통공사에서 관리하는 도시광역철도역들의 철도운영기관명,선명,역명,출구번호,출구별 주요시설명, 주소 등의 데이터 입니다.
Author국가철도공단
URLhttps://www.data.go.kr/data/15068958/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 03:54:09.381001
Analysis finished2023-12-12 03:54:10.072865
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

철도운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
대전교통공사
387 

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 387
100.0%

Length

2023-12-12T12:54:10.164651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:54:10.308620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전교통공사 387
100.0%

선명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
1호선
387 

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 387
100.0%

Length

2023-12-12T12:54:10.459342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:54:10.614025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1호선 387
100.0%

역명
Categorical

Distinct22
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
시청
31 
판암(대전대)
27 
서대전네거리
27 
정부청사
 
24
갈마
 
23
Other values (17)
255 

Length

Max length14
Median length13
Mean length4.8087855
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row판암(대전대)
2nd row판암(대전대)
3rd row판암(대전대)
4th row판암(대전대)
5th row판암(대전대)

Common Values

ValueCountFrequency (%)
시청 31
 
8.0%
판암(대전대) 27
 
7.0%
서대전네거리 27
 
7.0%
정부청사 24
 
6.2%
갈마 23
 
5.9%
오룡 23
 
5.9%
용문 23
 
5.9%
탄방 23
 
5.9%
유성온천(충남대·목원대) 21
 
5.4%
대동(우송대) 20
 
5.2%
Other values (12) 145
37.5%

Length

2023-12-12T12:54:10.780128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
시청 31
 
8.0%
판암(대전대 27
 
7.0%
서대전네거리 27
 
7.0%
정부청사 24
 
6.2%
갈마 23
 
5.9%
오룡 23
 
5.9%
용문 23
 
5.9%
탄방 23
 
5.9%
유성온천(충남대·목원대 21
 
5.4%
대동(우송대 20
 
5.2%
Other values (12) 145
37.5%

출구번호
Real number (ℝ)

Distinct9
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4160207
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-12T12:54:10.959110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.9909254
Coefficient of variation (CV)0.58282008
Kurtosis-0.37187072
Mean3.4160207
Median Absolute Deviation (MAD)1
Skewness0.72649283
Sum1322
Variance3.9637841
MonotonicityNot monotonic
2023-12-12T12:54:11.492646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 89
23.0%
3 79
20.4%
1 66
17.1%
4 50
12.9%
5 34
 
8.8%
6 30
 
7.8%
7 22
 
5.7%
8 16
 
4.1%
9 1
 
0.3%
ValueCountFrequency (%)
1 66
17.1%
2 89
23.0%
3 79
20.4%
4 50
12.9%
5 34
 
8.8%
6 30
 
7.8%
7 22
 
5.7%
8 16
 
4.1%
9 1
 
0.3%
ValueCountFrequency (%)
9 1
 
0.3%
8 16
 
4.1%
7 22
 
5.7%
6 30
 
7.8%
5 34
 
8.8%
4 50
12.9%
3 79
20.4%
2 89
23.0%
1 66
17.1%

출구별 주요시설명
Text

Distinct351
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T12:54:11.889462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length7.2248062
Min length2

Characters and Unicode

Total characters2796
Distinct characters303
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique319 ?
Unique (%)82.4%

Sample

1st row판암초등학교
2nd row판암주공3단지아파트
3rd row판암1동 주민센터
4th row대전대방면
5th row판암도서관
ValueCountFrequency (%)
방면 42
 
7.7%
주민센터 16
 
2.9%
아파트 12
 
2.2%
대전광역시 6
 
1.1%
열매마을 5
 
0.9%
반석마을 4
 
0.7%
keb 4
 
0.7%
외환은행 4
 
0.7%
도안 4
 
0.7%
중구청 3
 
0.5%
Other values (385) 449
81.8%
2023-12-12T12:54:12.460700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
 
5.9%
대 105
 
3.8%
교 86
 
3.1%
학 84
 
3.0%
전 77
 
2.8%
아 74
 
2.6%
트 69
 
2.5%
파 66
 
2.4%
방 60
 
2.1%
지 58
 
2.1%
Other values (293) 1952
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2521
90.2%
Space Separator 165
 
5.9%
Decimal Number 57
 
2.0%
Uppercase Letter 28
 
1.0%
Open Punctuation 8
 
0.3%
Close Punctuation 8
 
0.3%
Other Punctuation 6
 
0.2%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 105
 
4.2%
교 86
 
3.4%
학 84
 
3.3%
전 77
 
3.1%
아 74
 
2.9%
트 69
 
2.7%
파 66
 
2.6%
방 60
 
2.4%
지 58
 
2.3%
동 57
 
2.3%
Other values (268) 1785
70.8%
Decimal Number
ValueCountFrequency (%)
1 23
40.4%
2 9
 
15.8%
3 6
 
10.5%
4 4
 
7.0%
6 4
 
7.0%
9 4
 
7.0%
5 3
 
5.3%
8 2
 
3.5%
7 1
 
1.8%
0 1
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
B 7
25.0%
K 5
17.9%
C 4
14.3%
E 4
14.3%
S 3
10.7%
R 1
 
3.6%
T 1
 
3.6%
D 1
 
3.6%
N 1
 
3.6%
I 1
 
3.6%
Space Separator
ValueCountFrequency (%)
165
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2521
90.2%
Common 247
 
8.8%
Latin 28
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 105
 
4.2%
교 86
 
3.4%
학 84
 
3.3%
전 77
 
3.1%
아 74
 
2.9%
트 69
 
2.7%
파 66
 
2.6%
방 60
 
2.4%
지 58
 
2.3%
동 57
 
2.3%
Other values (268) 1785
70.8%
Common
ValueCountFrequency (%)
165
66.8%
1 23
 
9.3%
2 9
 
3.6%
( 8
 
3.2%
) 8
 
3.2%
3 6
 
2.4%
/ 6
 
2.4%
4 4
 
1.6%
6 4
 
1.6%
9 4
 
1.6%
Other values (5) 10
 
4.0%
Latin
ValueCountFrequency (%)
B 7
25.0%
K 5
17.9%
C 4
14.3%
E 4
14.3%
S 3
10.7%
R 1
 
3.6%
T 1
 
3.6%
D 1
 
3.6%
N 1
 
3.6%
I 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2521
90.2%
ASCII 275
 
9.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
60.0%
1 23
 
8.4%
2 9
 
3.3%
( 8
 
2.9%
) 8
 
2.9%
B 7
 
2.5%
3 6
 
2.2%
/ 6
 
2.2%
K 5
 
1.8%
4 4
 
1.5%
Other values (15) 34
 
12.4%
Hangul
ValueCountFrequency (%)
대 105
 
4.2%
교 86
 
3.4%
학 84
 
3.3%
전 77
 
3.1%
아 74
 
2.9%
트 69
 
2.7%
파 66
 
2.6%
방 60
 
2.4%
지 58
 
2.3%
동 57
 
2.3%
Other values (268) 1785
70.8%

Interactions

2023-12-12T12:54:09.700375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:54:12.599589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명출구번호
역명1.0000.502
출구번호0.5021.000
2023-12-12T12:54:12.723572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출구번호역명
출구번호1.0000.217
역명0.2171.000

Missing values

2023-12-12T12:54:09.866099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:54:10.012915image/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
0대전교통공사1호선판암(대전대)1판암초등학교
1대전교통공사1호선판암(대전대)2판암주공3단지아파트
2대전교통공사1호선판암(대전대)3판암1동 주민센터
3대전교통공사1호선판암(대전대)4대전대방면
4대전교통공사1호선판암(대전대)1판암도서관
5대전교통공사1호선판암(대전대)2미리내아파트
6대전교통공사1호선판암(대전대)3판암2동 주민센터
7대전교통공사1호선판암(대전대)4용운국제수영장 방면
8대전교통공사1호선판암(대전대)1판암사회복지관
9대전교통공사1호선판암(대전대)2가오동방면
철도운영기관명선명역명출구번호출구별 주요시설명
377대전교통공사1호선반석(칠성대)6송림마을 1단지
378대전교통공사1호선반석(칠성대)2반석초등학교
379대전교통공사1호선반석(칠성대)3외삼초등학교
380대전교통공사1호선반석(칠성대)4외삼중학교
381대전교통공사1호선반석(칠성대)5대전도시철도공사 외삼기지
382대전교통공사1호선반석(칠성대)6세종시 BRT버스 승강장
383대전교통공사1호선반석(칠성대)2반석고등학교
384대전교통공사1호선반석(칠성대)3칠성대 방면
385대전교통공사1호선반석(칠성대)4반석역 환승주차장
386대전교통공사1호선반석(칠성대)5세종시 방면