Overview

Dataset statistics

Number of variables5
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory44.1 B

Variable types

Categorical2
Text3

Dataset

Description대구1호선에 포함된 도시광역철도역들의 철도운영기관명, 선명, 역명, 도로명주소, 전화번호 의 데이터가 있습니다.
Author국가철도공단
URLhttps://www.data.go.kr/data/15041103/fileData.do

Alerts

철도운영기관명 has constant value ""Constant
선명 has constant value ""Constant
역명 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:12:34.144021
Analysis finished2023-12-12 20:12:34.549873
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

철도운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
대구교통공사
32 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구교통공사 32
100.0%

Length

2023-12-13T05:12:34.653551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:12:34.779129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구교통공사 32
100.0%

선명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
1호선
32 

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 32
100.0%

Length

2023-12-13T05:12:34.893576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:12:35.000218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1호선 32
100.0%

역명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T05:12:35.235205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length4.71875
Min length2

Characters and Unicode

Total characters151
Distinct characters84
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row각산
2nd row교대
3rd row대곡(정부대구청사)
4th row대구역
5th row대명
ValueCountFrequency (%)
각산 1
 
3.1%
교대 1
 
3.1%
현충로 1
 
3.1%
해안 1
 
3.1%
칠성시장 1
 
3.1%
진천 1
 
3.1%
중앙로 1
 
3.1%
율하 1
 
3.1%
월촌 1
 
3.1%
월배 1
 
3.1%
Other values (22) 22
68.8%
2023-12-13T05:12:35.704270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 9
 
6.0%
) 8
 
5.3%
( 8
 
5.3%
구 7
 
4.6%
동 5
 
3.3%
월 4
 
2.6%
촌 4
 
2.6%
장 3
 
2.0%
신 3
 
2.0%
명 3
 
2.0%
Other values (74) 97
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 130
86.1%
Close Punctuation 8
 
5.3%
Open Punctuation 8
 
5.3%
Decimal Number 3
 
2.0%
Other Punctuation 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 9
 
6.9%
구 7
 
5.4%
동 5
 
3.8%
월 4
 
3.1%
촌 4
 
3.1%
장 3
 
2.3%
신 3
 
2.3%
명 3
 
2.3%
안 3
 
2.3%
원 3
 
2.3%
Other values (68) 86
66.2%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
8 1
33.3%
Other Punctuation
ValueCountFrequency (%)
· 1
50.0%
. 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 130
86.1%
Common 21
 
13.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 9
 
6.9%
구 7
 
5.4%
동 5
 
3.8%
월 4
 
3.1%
촌 4
 
3.1%
장 3
 
2.3%
신 3
 
2.3%
명 3
 
2.3%
안 3
 
2.3%
원 3
 
2.3%
Other values (68) 86
66.2%
Common
ValueCountFrequency (%)
) 8
38.1%
( 8
38.1%
2 2
 
9.5%
· 1
 
4.8%
. 1
 
4.8%
8 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 130
86.1%
ASCII 20
 
13.2%
None 1
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 9
 
6.9%
구 7
 
5.4%
동 5
 
3.8%
월 4
 
3.1%
촌 4
 
3.1%
장 3
 
2.3%
신 3
 
2.3%
명 3
 
2.3%
안 3
 
2.3%
원 3
 
2.3%
Other values (68) 86
66.2%
ASCII
ValueCountFrequency (%)
) 8
40.0%
( 8
40.0%
2 2
 
10.0%
. 1
 
5.0%
8 1
 
5.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T05:12:35.994278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length21.6875
Min length17

Characters and Unicode

Total characters694
Distinct characters59
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row대구광역시 동구 안심로 지하 363(신서동)
2nd row대구광역시 남구 중앙대로 지하 194(대명동)
3rd row대구광역시 달서구 비슬로 지하 2718
4th row대구광역시 북구 칠성남로30길 지하 24
5th row대구광역시 남구 대명로 지하71
ValueCountFrequency (%)
대구광역시 32
21.3%
지하 15
 
10.0%
동구 13
 
8.7%
남구 6
 
4.0%
월배로 6
 
4.0%
달서구 6
 
4.0%
안심로 5
 
3.3%
대명로 4
 
2.7%
동촌로 3
 
2.0%
비슬로 3
 
2.0%
Other values (50) 57
38.0%
2023-12-13T05:12:36.472852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
17.0%
구 64
 
9.2%
대 44
 
6.3%
역 34
 
4.9%
로 33
 
4.8%
동 33
 
4.8%
광 32
 
4.6%
시 32
 
4.6%
하 30
 
4.3%
지 30
 
4.3%
Other values (49) 244
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 451
65.0%
Space Separator 118
 
17.0%
Decimal Number 97
 
14.0%
Open Punctuation 14
 
2.0%
Close Punctuation 14
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 64
14.2%
대 44
9.8%
역 34
 
7.5%
로 33
 
7.3%
동 33
 
7.3%
광 32
 
7.1%
시 32
 
7.1%
하 30
 
6.7%
지 30
 
6.7%
남 10
 
2.2%
Other values (36) 109
24.2%
Decimal Number
ValueCountFrequency (%)
2 20
20.6%
1 18
18.6%
4 11
11.3%
5 9
9.3%
3 9
9.3%
7 8
 
8.2%
0 7
 
7.2%
6 7
 
7.2%
9 5
 
5.2%
8 3
 
3.1%
Space Separator
ValueCountFrequency (%)
118
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 451
65.0%
Common 243
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 64
14.2%
대 44
9.8%
역 34
 
7.5%
로 33
 
7.3%
동 33
 
7.3%
광 32
 
7.1%
시 32
 
7.1%
하 30
 
6.7%
지 30
 
6.7%
남 10
 
2.2%
Other values (36) 109
24.2%
Common
ValueCountFrequency (%)
118
48.6%
2 20
 
8.2%
1 18
 
7.4%
( 14
 
5.8%
) 14
 
5.8%
4 11
 
4.5%
5 9
 
3.7%
3 9
 
3.7%
7 8
 
3.3%
0 7
 
2.9%
Other values (3) 15
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 451
65.0%
ASCII 243
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
48.6%
2 20
 
8.2%
1 18
 
7.4%
( 14
 
5.8%
) 14
 
5.8%
4 11
 
4.5%
5 9
 
3.7%
3 9
 
3.7%
7 8
 
3.3%
0 7
 
2.9%
Other values (3) 15
 
6.2%
Hangul
ValueCountFrequency (%)
구 64
14.2%
대 44
9.8%
역 34
 
7.5%
로 33
 
7.3%
동 33
 
7.3%
광 32
 
7.1%
시 32
 
7.1%
하 30
 
6.7%
지 30
 
6.7%
남 10
 
2.2%
Other values (36) 109
24.2%

전화번호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T05:12:36.752581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters384
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row053-963-7754
2nd row053-473-7702
3rd row053-644-7723
4th row053-426-7797
5th row053-627-7746
ValueCountFrequency (%)
053-963-7754 1
 
3.1%
053-473-7702 1
 
3.1%
053-651-7756 1
 
3.1%
053-981-7775 1
 
3.1%
053-427-7751 1
 
3.1%
053-642-7723 1
 
3.1%
053-256-7746 1
 
3.1%
053-962-7729 1
 
3.1%
053-626-7710 1
 
3.1%
053-642-7732 1
 
3.1%
Other values (22) 22
68.8%
2023-12-13T05:12:37.194436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 71
18.5%
- 64
16.7%
5 49
12.8%
3 46
12.0%
0 37
9.6%
6 34
8.9%
2 29
7.6%
4 21
 
5.5%
9 16
 
4.2%
1 10
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
83.3%
Dash Punctuation 64
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 71
22.2%
5 49
15.3%
3 46
14.4%
0 37
11.6%
6 34
10.6%
2 29
9.1%
4 21
 
6.6%
9 16
 
5.0%
1 10
 
3.1%
8 7
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 71
18.5%
- 64
16.7%
5 49
12.8%
3 46
12.0%
0 37
9.6%
6 34
8.9%
2 29
7.6%
4 21
 
5.5%
9 16
 
4.2%
1 10
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 71
18.5%
- 64
16.7%
5 49
12.8%
3 46
12.0%
0 37
9.6%
6 34
8.9%
2 29
7.6%
4 21
 
5.5%
9 16
 
4.2%
1 10
 
2.6%

Correlations

2023-12-13T05:12:37.312443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명도로명주소전화번호
역명1.0001.0001.000
도로명주소1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-13T05:12:34.378904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:12:34.497805image/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

철도운영기관명선명역명도로명주소전화번호
0대구교통공사1호선각산대구광역시 동구 안심로 지하 363(신서동)053-963-7754
1대구교통공사1호선교대대구광역시 남구 중앙대로 지하 194(대명동)053-473-7702
2대구교통공사1호선대곡(정부대구청사)대구광역시 달서구 비슬로 지하 2718053-644-7723
3대구교통공사1호선대구역대구광역시 북구 칠성남로30길 지하 24053-426-7797
4대구교통공사1호선대명대구광역시 남구 대명로 지하71053-627-7746
5대구교통공사1호선동구청(큰고개)대구광역시 동구 신암남로 지하169(신암동)053-942-7721
6대구교통공사1호선동대구역대구광역시 동구 동대구로 지하530( 신천동)053-742-7787
7대구교통공사1호선동촌(동촌유원지)대구광역시 동구 해동로 지하197(검사동)053-981-7731
8대구교통공사1호선명덕(2.28민주운동기념회관)대구광역시 중구 명덕로 지하185(남산동)053-255-7723
9대구교통공사1호선반야월대구광역시 동구 안심로 지하261053-962-7798
철도운영기관명선명역명도로명주소전화번호
22대구교통공사1호선용계대구광역시 동구 동촌로 지하 383053-985-7798
23대구교통공사1호선월배대구광역시 달서구 월배로 지하 143053-642-7732
24대구교통공사1호선월촌대구광역시 달서구 월배로 지하 311053-626-7710
25대구교통공사1호선율하대구광역시 동구 안심로 지하57053-962-7729
26대구교통공사1호선중앙로대구광역시 중구 중앙대로 424 중앙로역053-256-7746
27대구교통공사1호선진천대구광역시 달서구 월배로 지하 76053-642-7723
28대구교통공사1호선칠성시장대구광역시 북구 칠성남로 지하222 (칠성동)053-427-7751
29대구교통공사1호선해안대구광역시 동구 동촌로 지하167(방촌동)053-981-7775
30대구교통공사1호선현충로대구광역시 남구 대명로 지하222 (대명동)053-651-7756
31대구교통공사1호선화원대구광역시 달성군 화원읍 비슬로 2600053-634-5125