Overview

Dataset statistics

Number of variables4
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory964.0 B
Average record size in memory37.1 B

Variable types

Text4

Dataset

Description대구광역시_대구광역시 시내버스 버스회사정보_20210311
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15077745&dataSetDetailId=150777451b159267b7924&provdMethod=FILE

Alerts

버스회사명 has unique valuesUnique
전화번호 has unique valuesUnique
운행노선 has unique valuesUnique

Reproduction

Analysis started2024-04-18 05:42:16.109884
Analysis finished2024-04-18 05:42:18.563743
Duration2.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

버스회사명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-18T14:42:18.700291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length7.1538462
Min length7

Characters and Unicode

Total characters186
Distinct characters44
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row(주)세진교통
2nd row경북교통(주)
3rd row동명교통(주)
4th row신흥버스(주)
5th row광남자동차(주)
ValueCountFrequency (%)
주)세진교통 1
 
3.8%
경북교통(주 1
 
3.8%
주)신일여객 1
 
3.8%
경상버스(주 1
 
3.8%
남도버스(주 1
 
3.8%
대덕버스(주 1
 
3.8%
신진자동차(주 1
 
3.8%
현대교통(주 1
 
3.8%
주)관음교통 1
 
3.8%
세한여객(주 1
 
3.8%
Other values (16) 16
61.5%
2024-04-18T14:42:18.997632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 27
14.5%
( 26
14.0%
) 26
14.0%
교 12
 
6.5%
통 12
 
6.5%
버 8
 
4.3%
스 8
 
4.3%
세 4
 
2.2%
진 4
 
2.2%
대 4
 
2.2%
Other values (34) 55
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134
72.0%
Open Punctuation 26
 
14.0%
Close Punctuation 26
 
14.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
20.1%
교 12
 
9.0%
통 12
 
9.0%
버 8
 
6.0%
스 8
 
6.0%
세 4
 
3.0%
진 4
 
3.0%
대 4
 
3.0%
신 4
 
3.0%
우 3
 
2.2%
Other values (32) 48
35.8%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134
72.0%
Common 52
 
28.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
20.1%
교 12
 
9.0%
통 12
 
9.0%
버 8
 
6.0%
스 8
 
6.0%
세 4
 
3.0%
진 4
 
3.0%
대 4
 
3.0%
신 4
 
3.0%
우 3
 
2.2%
Other values (32) 48
35.8%
Common
ValueCountFrequency (%)
( 26
50.0%
) 26
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134
72.0%
ASCII 52
 
28.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 27
20.1%
교 12
 
9.0%
통 12
 
9.0%
버 8
 
6.0%
스 8
 
6.0%
세 4
 
3.0%
진 4
 
3.0%
대 4
 
3.0%
신 4
 
3.0%
우 3
 
2.2%
Other values (32) 48
35.8%
ASCII
ValueCountFrequency (%)
( 26
50.0%
) 26
50.0%

주 소
Text

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-18T14:42:19.204041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length19.923077
Min length16

Characters and Unicode

Total characters518
Distinct characters76
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)76.9%

Sample

1st row대구광역시 수성구 만촌동 794-1
2nd row대구광역시 동구 동호동 105-4
3rd row대구광역시 북구 읍내동 514
4th row대구광역시 달서구 갈산동 358-27
5th row대구시 동구 봉무동 126-2
ValueCountFrequency (%)
대구광역시 25
22.1%
수성구 6
 
5.3%
동구 6
 
5.3%
달성군 5
 
4.4%
달서구 4
 
3.5%
북구 4
 
3.5%
신매동 2
 
1.8%
117 2
 
1.8%
달서대로 2
 
1.8%
동호동 2
 
1.8%
Other values (49) 55
48.7%
2024-04-18T14:42:19.552785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
16.8%
구 48
 
9.3%
대 33
 
6.4%
동 29
 
5.6%
시 26
 
5.0%
광 25
 
4.8%
역 25
 
4.8%
1 22
 
4.2%
4 14
 
2.7%
2 13
 
2.5%
Other values (66) 196
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 318
61.4%
Decimal Number 94
 
18.1%
Space Separator 87
 
16.8%
Dash Punctuation 13
 
2.5%
Close Punctuation 3
 
0.6%
Open Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 48
15.1%
대 33
 
10.4%
동 29
 
9.1%
시 26
 
8.2%
광 25
 
7.9%
역 25
 
7.9%
달 12
 
3.8%
성 11
 
3.5%
로 8
 
2.5%
서 7
 
2.2%
Other values (52) 94
29.6%
Decimal Number
ValueCountFrequency (%)
1 22
23.4%
4 14
14.9%
2 13
13.8%
5 9
9.6%
0 7
 
7.4%
9 7
 
7.4%
7 7
 
7.4%
6 6
 
6.4%
3 6
 
6.4%
8 3
 
3.2%
Space Separator
ValueCountFrequency (%)
87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 318
61.4%
Common 200
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 48
15.1%
대 33
 
10.4%
동 29
 
9.1%
시 26
 
8.2%
광 25
 
7.9%
역 25
 
7.9%
달 12
 
3.8%
성 11
 
3.5%
로 8
 
2.5%
서 7
 
2.2%
Other values (52) 94
29.6%
Common
ValueCountFrequency (%)
87
43.5%
1 22
 
11.0%
4 14
 
7.0%
2 13
 
6.5%
- 13
 
6.5%
5 9
 
4.5%
0 7
 
3.5%
9 7
 
3.5%
7 7
 
3.5%
6 6
 
3.0%
Other values (4) 15
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 318
61.4%
ASCII 200
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
43.5%
1 22
 
11.0%
4 14
 
7.0%
2 13
 
6.5%
- 13
 
6.5%
5 9
 
4.5%
0 7
 
3.5%
9 7
 
3.5%
7 7
 
3.5%
6 6
 
3.0%
Other values (4) 15
 
7.5%
Hangul
ValueCountFrequency (%)
구 48
15.1%
대 33
 
10.4%
동 29
 
9.1%
시 26
 
8.2%
광 25
 
7.9%
역 25
 
7.9%
달 12
 
3.8%
성 11
 
3.5%
로 8
 
2.5%
서 7
 
2.2%
Other values (52) 94
29.6%

전화번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-18T14:42:19.746842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.153846
Min length12

Characters and Unicode

Total characters316
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row053-812-2812
2nd row053-962-4711
3rd row053-353-1374
4th row053-583-1101
5th row053-985-5006
ValueCountFrequency (%)
053 2
 
7.1%
053-812-2812 1
 
3.6%
053-573-8600 1
 
3.6%
053-963-3341 1
 
3.6%
053-552-5831 1
 
3.6%
053-633-1224 1
 
3.6%
961-7454 1
 
3.6%
053-784-2902 1
 
3.6%
053-781-7005 1
 
3.6%
053-982-9000 1
 
3.6%
Other values (17) 17
60.7%
2024-04-18T14:42:20.072102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 53
16.8%
3 51
16.1%
0 47
14.9%
5 46
14.6%
1 29
9.2%
8 19
 
6.0%
2 19
 
6.0%
9 14
 
4.4%
7 14
 
4.4%
6 13
 
4.1%
Other values (2) 11
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 261
82.6%
Dash Punctuation 53
 
16.8%
Space Separator 2
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 51
19.5%
0 47
18.0%
5 46
17.6%
1 29
11.1%
8 19
 
7.3%
2 19
 
7.3%
9 14
 
5.4%
7 14
 
5.4%
6 13
 
5.0%
4 9
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 316
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 53
16.8%
3 51
16.1%
0 47
14.9%
5 46
14.6%
1 29
9.2%
8 19
 
6.0%
2 19
 
6.0%
9 14
 
4.4%
7 14
 
4.4%
6 13
 
4.1%
Other values (2) 11
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 316
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 53
16.8%
3 51
16.1%
0 47
14.9%
5 46
14.6%
1 29
9.2%
8 19
 
6.0%
2 19
 
6.0%
9 14
 
4.4%
7 14
 
4.4%
6 13
 
4.1%
Other values (2) 11
 
3.5%

운행노선
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-18T14:42:20.381056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length130
Median length55
Mean length53.423077
Min length17

Characters and Unicode

Total characters1389
Distinct characters33
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row403, [공동]564, [공동]618, [공동]724, [공동]814, [공동]8140, [공동]939, [공동]급행1, [공동]급행5, [공동]순환3-1, 수성3-1
2nd row805, [공동]651, [공동]814, [공동]937, [공동]급행5, [공동]동구2, [공동]순환3, 수성3
3rd row730, [공동]724, [공동]7250, [공동]726, [공동]급행3, [공동]급행7, [공동]북구4, 칠곡2, 칠곡3, 칠곡4, 칠곡5
4th row[공동]425, [공동]503, [공동]518, [공동]7250, [공동]급행5, [공동]급행7, [공동]달서1, 서구1-1
5th row101, 101-1, [공동]401, [공동]4010, [공동]급행6, [공동]팔공1, 북구2, 팔공2
ValueCountFrequency (%)
공동]7250 4
 
2.2%
공동]급행5 3
 
1.6%
공동]524 3
 
1.6%
공동]564 3
 
1.6%
공동]급행8 3
 
1.6%
공동]651 3
 
1.6%
공동]달서1 3
 
1.6%
공동]503 3
 
1.6%
공동]8140 3
 
1.6%
공동]401 3
 
1.6%
Other values (109) 153
83.2%
2024-04-18T14:42:20.873440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 158
11.4%
158
11.4%
동 129
 
9.3%
공 121
 
8.7%
] 119
 
8.6%
[ 119
 
8.6%
1 68
 
4.9%
0 55
 
4.0%
4 54
 
3.9%
5 50
 
3.6%
Other values (23) 358
25.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 423
30.5%
Other Letter 394
28.4%
Other Punctuation 158
 
11.4%
Space Separator 158
 
11.4%
Close Punctuation 119
 
8.6%
Open Punctuation 119
 
8.6%
Dash Punctuation 18
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 129
32.7%
공 121
30.7%
구 19
 
4.8%
급 19
 
4.8%
행 19
 
4.8%
성 16
 
4.1%
달 15
 
3.8%
서 15
 
3.8%
순 6
 
1.5%
환 6
 
1.5%
Other values (8) 29
 
7.4%
Decimal Number
ValueCountFrequency (%)
1 68
16.1%
0 55
13.0%
4 54
12.8%
5 50
11.8%
3 46
10.9%
2 40
9.5%
6 38
9.0%
8 26
 
6.1%
7 25
 
5.9%
9 21
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 158
100.0%
Space Separator
ValueCountFrequency (%)
158
100.0%
Close Punctuation
ValueCountFrequency (%)
] 119
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 995
71.6%
Hangul 394
 
28.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 129
32.7%
공 121
30.7%
구 19
 
4.8%
급 19
 
4.8%
행 19
 
4.8%
성 16
 
4.1%
달 15
 
3.8%
서 15
 
3.8%
순 6
 
1.5%
환 6
 
1.5%
Other values (8) 29
 
7.4%
Common
ValueCountFrequency (%)
, 158
15.9%
158
15.9%
] 119
12.0%
[ 119
12.0%
1 68
6.8%
0 55
 
5.5%
4 54
 
5.4%
5 50
 
5.0%
3 46
 
4.6%
2 40
 
4.0%
Other values (5) 128
12.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 995
71.6%
Hangul 394
 
28.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 158
15.9%
158
15.9%
] 119
12.0%
[ 119
12.0%
1 68
6.8%
0 55
 
5.5%
4 54
 
5.4%
5 50
 
5.0%
3 46
 
4.6%
2 40
 
4.0%
Other values (5) 128
12.9%
Hangul
ValueCountFrequency (%)
동 129
32.7%
공 121
30.7%
구 19
 
4.8%
급 19
 
4.8%
행 19
 
4.8%
성 16
 
4.1%
달 15
 
3.8%
서 15
 
3.8%
순 6
 
1.5%
환 6
 
1.5%
Other values (8) 29
 
7.4%

Correlations

2024-04-18T14:42:20.976134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
버스회사명주 소전화번호운행노선
버스회사명1.0001.0001.0001.000
주 소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000
운행노선1.0001.0001.0001.000

Missing values

2024-04-18T14:42:18.530641image/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

버스회사명주 소전화번호운행노선
0(주)세진교통대구광역시 수성구 만촌동 794-1053-812-2812403, [공동]564, [공동]618, [공동]724, [공동]814, [공동]8140, [공동]939, [공동]급행1, [공동]급행5, [공동]순환3-1, 수성3-1
1경북교통(주)대구광역시 동구 동호동 105-4053-962-4711805, [공동]651, [공동]814, [공동]937, [공동]급행5, [공동]동구2, [공동]순환3, 수성3
2동명교통(주)대구광역시 북구 읍내동 514053-353-1374730, [공동]724, [공동]7250, [공동]726, [공동]급행3, [공동]급행7, [공동]북구4, 칠곡2, 칠곡3, 칠곡4, 칠곡5
3신흥버스(주)대구광역시 달서구 갈산동 358-27053-583-1101[공동]425, [공동]503, [공동]518, [공동]7250, [공동]급행5, [공동]급행7, [공동]달서1, 서구1-1
4광남자동차(주)대구시 동구 봉무동 126-2053-985-5006101, 101-1, [공동]401, [공동]4010, [공동]급행6, [공동]팔공1, 북구2, 팔공2
5(주)세왕교통대구광역시 달성군 가창면 삼산리 360053-763-2201405, 413, [공동]240, [공동]304, [공동]449, [공동]8140
6성보교통(주)대구광역시 북구 검단동 1393-46053-381-5961[공동]323, [공동]356, [공동]4010, [공동]623, [공동]급행2, 가창2, 북구1, 순환2, 순환2-1
7한일운수(주)대구광역시 수성구 신매동 10 - 13053-801-0941909, [공동]449, [공동]609, [공동]840, 동구4-1
8우진교통(주)대구광역시 달성군 하빈면 하빈남로 414053-522-9301[공동]524, [공동]527, [공동]564, [공동]655, [공동]급행1, [공동]급행7, 성서1, 성서1-1, 성서3
9삼천리버스(주)대구광역시 수성구 신매동 79-2053-818-3071309, 349, [공동]509
버스회사명주 소전화번호운행노선
16영진교통(주)대구광역시 북구 학정동 451-1053- 767-9800[공동]304, [공동]503, [공동]523, [공동]653, [공동]급행2
17세한여객(주)대구광역시 달성군 유가면 테크노중앙대로 2길 45053-553-1301[공동]356, [공동]600, [공동]623, [공동]655, [공동]급행4, [공동]급행8
18(주)관음교통대구광역시 동구 방촌동 1114-2053-982-9000306, [공동]425, [공동]719, 동구3
19현대교통(주)대구광역시 달성군 유가면 테크노중앙대로 2길 45053-781-7005410-1, [공동]204, [공동]401, [공동]524, [공동]564, [공동]600, [공동]급행4, [공동]급행8, [공동]달서1, [공동]달서4-1, 남구1, 남구1-1, 달성2, 달성3, 달성5, 달성6, 달성7, 수성4
20신진자동차(주)대구광역시 수성구 범물동 1290053-784-2902410, [공동]401, [공동]급행3, [공동]순환3, [공동]순환3-1, 수성1, 수성1-1
21대덕버스(주)대구광역시 동구 경안로700(동호동)053- 961-7454[공동]650, [공동]708, [공동]836, 동구1-1
22남도버스(주)대구광역시 달서구 대곡동 411053-633-1224[공동]653, [공동]706, [공동]달서4-1, [공동]달서5, 달서4
23경상버스(주)대구광역시 서구 이현동 45-52053-552-5831323-1, [공동]323, [공동]649, [공동]719, [공동]840, 동구1
24(주)신일여객대구광역시 동구 대림로2길 8 (괴전동)053-963-3341808, [공동]동구2, 동구6
25세운버스(주)대구광역시 달서구 달서대로 117053-586-5540[공동]156, [공동]618, [공동]급행6, [공동]급행8, [공동]달서5, 달성1