Overview

Dataset statistics

Number of variables14
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory117.3 B

Variable types

Text14

Dataset

Description인천광역시 미추홀구 관내를 운행하는 마을버스로 노선번호, 업체명, 운행노선(시점), 운행노선(종점) 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15087005/fileData.do

Alerts

노선번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:58:22.762133
Analysis finished2023-12-12 01:58:24.020295
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

노선번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T10:58:24.198680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.64
Min length3

Characters and Unicode

Total characters91
Distinct characters17
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row506
2nd row510
3rd row511
4th row512
5th row514-1
ValueCountFrequency (%)
506 1
 
4.0%
522 1
 
4.0%
인천e음22 1
 
4.0%
인천e음12 1
 
4.0%
순환56 1
 
4.0%
순환52 1
 
4.0%
순환51 1
 
4.0%
566 1
 
4.0%
540 1
 
4.0%
537 1
 
4.0%
Other values (15) 15
60.0%
2023-12-12T10:58:24.619842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 24
26.4%
1 17
18.7%
2 10
11.0%
6 5
 
5.5%
0 4
 
4.4%
3 4
 
4.4%
순 3
 
3.3%
e 3
 
3.3%
천 3
 
3.3%
인 3
 
3.3%
Other values (7) 15
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71
78.0%
Other Letter 15
 
16.5%
Lowercase Letter 3
 
3.3%
Dash Punctuation 2
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 24
33.8%
1 17
23.9%
2 10
14.1%
6 5
 
7.0%
0 4
 
5.6%
3 4
 
5.6%
4 3
 
4.2%
7 2
 
2.8%
9 1
 
1.4%
8 1
 
1.4%
Other Letter
ValueCountFrequency (%)
순 3
20.0%
천 3
20.0%
인 3
20.0%
환 3
20.0%
음 3
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 73
80.2%
Hangul 15
 
16.5%
Latin 3
 
3.3%

Most frequent character per script

Common
ValueCountFrequency (%)
5 24
32.9%
1 17
23.3%
2 10
13.7%
6 5
 
6.8%
0 4
 
5.5%
3 4
 
5.5%
4 3
 
4.1%
7 2
 
2.7%
- 2
 
2.7%
9 1
 
1.4%
Hangul
ValueCountFrequency (%)
순 3
20.0%
천 3
20.0%
인 3
20.0%
환 3
20.0%
음 3
20.0%
Latin
ValueCountFrequency (%)
e 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 76
83.5%
Hangul 15
 
16.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 24
31.6%
1 17
22.4%
2 10
13.2%
6 5
 
6.6%
0 4
 
5.3%
3 4
 
5.3%
e 3
 
3.9%
4 3
 
3.9%
7 2
 
2.6%
- 2
 
2.6%
Other values (2) 2
 
2.6%
Hangul
ValueCountFrequency (%)
순 3
20.0%
천 3
20.0%
인 3
20.0%
환 3
20.0%
음 3
20.0%

기점(출발지)
Text

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T10:58:24.865967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.76
Min length3

Characters and Unicode

Total characters194
Distinct characters91
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)76.0%

Sample

1st row산업용품유통센터
2nd row510번차고지
3rd row독배로317번길(삼거리)
4th row인하대후문
5th row남촌농산물도매시장
ValueCountFrequency (%)
인천지방법원 2
 
8.0%
현광아파트후문 2
 
8.0%
윤성아파트(인항고교 2
 
8.0%
540번종점 1
 
4.0%
산업용품유통센터 1
 
4.0%
남동국가산업단지입구 1
 
4.0%
만석비치타운 1
 
4.0%
인천역(차이나타운 1
 
4.0%
서창공영차고지 1
 
4.0%
소래포구역종점 1
 
4.0%
Other values (12) 12
48.0%
2023-12-12T10:58:25.280551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 9
 
4.6%
아 8
 
4.1%
인 6
 
3.1%
) 6
 
3.1%
트 6
 
3.1%
파 6
 
3.1%
( 6
 
3.1%
고 5
 
2.6%
차 4
 
2.1%
교 4
 
2.1%
Other values (81) 134
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172
88.7%
Decimal Number 10
 
5.2%
Close Punctuation 6
 
3.1%
Open Punctuation 6
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 9
 
5.2%
아 8
 
4.7%
인 6
 
3.5%
트 6
 
3.5%
파 6
 
3.5%
고 5
 
2.9%
차 4
 
2.3%
교 4
 
2.3%
산 4
 
2.3%
역 3
 
1.7%
Other values (73) 117
68.0%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
5 2
20.0%
0 2
20.0%
3 1
 
10.0%
4 1
 
10.0%
7 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172
88.7%
Common 22
 
11.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 9
 
5.2%
아 8
 
4.7%
인 6
 
3.5%
트 6
 
3.5%
파 6
 
3.5%
고 5
 
2.9%
차 4
 
2.3%
교 4
 
2.3%
산 4
 
2.3%
역 3
 
1.7%
Other values (73) 117
68.0%
Common
ValueCountFrequency (%)
) 6
27.3%
( 6
27.3%
1 3
13.6%
5 2
 
9.1%
0 2
 
9.1%
3 1
 
4.5%
4 1
 
4.5%
7 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172
88.7%
ASCII 22
 
11.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 9
 
5.2%
아 8
 
4.7%
인 6
 
3.5%
트 6
 
3.5%
파 6
 
3.5%
고 5
 
2.9%
차 4
 
2.3%
교 4
 
2.3%
산 4
 
2.3%
역 3
 
1.7%
Other values (73) 117
68.0%
ASCII
ValueCountFrequency (%)
) 6
27.3%
( 6
27.3%
1 3
13.6%
5 2
 
9.1%
0 2
 
9.1%
3 1
 
4.5%
4 1
 
4.5%
7 1
 
4.5%

종첨(도착지)
Text

Distinct16
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T10:58:25.524201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.04
Min length3

Characters and Unicode

Total characters151
Distinct characters61
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)48.0%

Sample

1st row명가빌라(회차)
2nd row도화역
3rd row주안역환승정류장
4th row삼성빌라(종점)
5th row주안역환승정류장
ValueCountFrequency (%)
주안역환승정류장 4
16.0%
주안역 4
16.0%
동인천 3
12.0%
롯데백화점(인천터미널 2
 
8.0%
명가빌라(회차 1
 
4.0%
도화역 1
 
4.0%
삼성빌라(종점 1
 
4.0%
인명여자고등학교 1
 
4.0%
동암남부역 1
 
4.0%
남동중학교 1
 
4.0%
Other values (6) 6
24.0%
2023-12-12T10:58:25.846148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
역 12
 
7.9%
주 8
 
5.3%
안 8
 
5.3%
인 7
 
4.6%
동 6
 
4.0%
천 6
 
4.0%
장 5
 
3.3%
환 4
 
2.6%
( 4
 
2.6%
정 4
 
2.6%
Other values (51) 87
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 142
94.0%
Open Punctuation 4
 
2.6%
Close Punctuation 4
 
2.6%
Other Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 12
 
8.5%
주 8
 
5.6%
안 8
 
5.6%
인 7
 
4.9%
동 6
 
4.2%
천 6
 
4.2%
장 5
 
3.5%
환 4
 
2.8%
정 4
 
2.8%
류 4
 
2.8%
Other values (48) 78
54.9%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 142
94.0%
Common 9
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 12
 
8.5%
주 8
 
5.6%
안 8
 
5.6%
인 7
 
4.9%
동 6
 
4.2%
천 6
 
4.2%
장 5
 
3.5%
환 4
 
2.8%
정 4
 
2.8%
류 4
 
2.8%
Other values (48) 78
54.9%
Common
ValueCountFrequency (%)
( 4
44.4%
) 4
44.4%
. 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 142
94.0%
ASCII 9
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
역 12
 
8.5%
주 8
 
5.6%
안 8
 
5.6%
인 7
 
4.9%
동 6
 
4.2%
천 6
 
4.2%
장 5
 
3.5%
환 4
 
2.8%
정 4
 
2.8%
류 4
 
2.8%
Other values (48) 78
54.9%
ASCII
ValueCountFrequency (%)
( 4
44.4%
) 4
44.4%
. 1
 
11.1%

평일기점시간
Text

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T10:58:26.006121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters325
Distinct characters9
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)64.0%

Sample

1st row05:30 ~ 22:55
2nd row05:10 ~ 23:40
3rd row05:20 ~ 23:20
4th row05:30 ~ 23:00
5th row05:30 ~ 24:10
ValueCountFrequency (%)
25
33.3%
05:30 8
 
10.7%
23:00 7
 
9.3%
05:00 6
 
8.0%
23:20 5
 
6.7%
24:00 4
 
5.3%
05:10 3
 
4.0%
05:20 3
 
4.0%
23:30 2
 
2.7%
05:05 2
 
2.7%
Other values (8) 10
 
13.3%
2023-12-12T10:58:26.303803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 90
27.7%
: 50
15.4%
50
15.4%
2 35
 
10.8%
5 30
 
9.2%
3 29
 
8.9%
~ 25
 
7.7%
4 12
 
3.7%
1 4
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 200
61.5%
Other Punctuation 50
 
15.4%
Space Separator 50
 
15.4%
Math Symbol 25
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 90
45.0%
2 35
 
17.5%
5 30
 
15.0%
3 29
 
14.5%
4 12
 
6.0%
1 4
 
2.0%
Other Punctuation
ValueCountFrequency (%)
: 50
100.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 325
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 90
27.7%
: 50
15.4%
50
15.4%
2 35
 
10.8%
5 30
 
9.2%
3 29
 
8.9%
~ 25
 
7.7%
4 12
 
3.7%
1 4
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 90
27.7%
: 50
15.4%
50
15.4%
2 35
 
10.8%
5 30
 
9.2%
3 29
 
8.9%
~ 25
 
7.7%
4 12
 
3.7%
1 4
 
1.2%

토요일기점시간
Text

Distinct20
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T10:58:26.456370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters325
Distinct characters9
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)72.0%

Sample

1st row05:30 ~ 22:55
2nd row05:10 ~ 23:40
3rd row05:20 ~ 23:20
4th row05:30 ~ 23:00
5th row05:30 ~ 24:10
ValueCountFrequency (%)
25
33.3%
05:30 9
 
12.0%
23:00 7
 
9.3%
05:00 6
 
8.0%
23:20 5
 
6.7%
24:00 4
 
5.3%
05:20 3
 
4.0%
05:05 2
 
2.7%
23:30 2
 
2.7%
04:40 2
 
2.7%
Other values (8) 10
 
13.3%
2023-12-12T10:58:26.728914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 90
27.7%
: 50
15.4%
50
15.4%
2 35
 
10.8%
5 30
 
9.2%
3 30
 
9.2%
~ 25
 
7.7%
4 12
 
3.7%
1 3
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 200
61.5%
Other Punctuation 50
 
15.4%
Space Separator 50
 
15.4%
Math Symbol 25
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 90
45.0%
2 35
 
17.5%
5 30
 
15.0%
3 30
 
15.0%
4 12
 
6.0%
1 3
 
1.5%
Other Punctuation
ValueCountFrequency (%)
: 50
100.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 325
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 90
27.7%
: 50
15.4%
50
15.4%
2 35
 
10.8%
5 30
 
9.2%
3 30
 
9.2%
~ 25
 
7.7%
4 12
 
3.7%
1 3
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 90
27.7%
: 50
15.4%
50
15.4%
2 35
 
10.8%
5 30
 
9.2%
3 30
 
9.2%
~ 25
 
7.7%
4 12
 
3.7%
1 3
 
0.9%

공휴일기점시간
Text

Distinct20
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T10:58:26.865491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters325
Distinct characters9
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)72.0%

Sample

1st row05:30 ~ 22:55
2nd row05:10 ~ 23:40
3rd row05:20 ~ 23:20
4th row05:30 ~ 23:00
5th row05:30 ~ 24:10
ValueCountFrequency (%)
25
33.3%
05:30 9
 
12.0%
23:00 7
 
9.3%
05:00 6
 
8.0%
23:20 5
 
6.7%
24:00 4
 
5.3%
05:20 3
 
4.0%
05:05 2
 
2.7%
23:30 2
 
2.7%
04:40 2
 
2.7%
Other values (8) 10
 
13.3%
2023-12-12T10:58:27.120712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 90
27.7%
: 50
15.4%
50
15.4%
2 35
 
10.8%
5 30
 
9.2%
3 30
 
9.2%
~ 25
 
7.7%
4 12
 
3.7%
1 3
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 200
61.5%
Other Punctuation 50
 
15.4%
Space Separator 50
 
15.4%
Math Symbol 25
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 90
45.0%
2 35
 
17.5%
5 30
 
15.0%
3 30
 
15.0%
4 12
 
6.0%
1 3
 
1.5%
Other Punctuation
ValueCountFrequency (%)
: 50
100.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 325
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 90
27.7%
: 50
15.4%
50
15.4%
2 35
 
10.8%
5 30
 
9.2%
3 30
 
9.2%
~ 25
 
7.7%
4 12
 
3.7%
1 3
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 90
27.7%
: 50
15.4%
50
15.4%
2 35
 
10.8%
5 30
 
9.2%
3 30
 
9.2%
~ 25
 
7.7%
4 12
 
3.7%
1 3
 
0.9%

평일회차시간
Text

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T10:58:27.303657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.84
Min length4

Characters and Unicode

Total characters271
Distinct characters15
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

Unique17 ?
Unique (%)68.0%

Sample

1st row05:50 ~ 24:00
2nd row05:30 ~ 24:05
3rd row05:45 ~ 23:45
4th row06:00 ~ 23:30
5th row05:30 ~ 24:45
ValueCountFrequency (%)
19
30.2%
정보없음 6
 
9.5%
24:25 4
 
6.3%
05:30 4
 
6.3%
05:25 3
 
4.8%
05:40 2
 
3.2%
23:00 2
 
3.2%
05:20 2
 
3.2%
23:45 2
 
3.2%
24:00 2
 
3.2%
Other values (16) 17
27.0%
2023-12-12T10:58:27.602463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 45
16.6%
: 38
14.0%
38
14.0%
5 34
12.5%
2 31
11.4%
~ 19
7.0%
4 18
 
6.6%
3 17
 
6.3%
정 6
 
2.2%
보 6
 
2.2%
Other values (5) 19
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 152
56.1%
Other Punctuation 38
 
14.0%
Space Separator 38
 
14.0%
Other Letter 24
 
8.9%
Math Symbol 19
 
7.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 45
29.6%
5 34
22.4%
2 31
20.4%
4 18
 
11.8%
3 17
 
11.2%
6 3
 
2.0%
8 2
 
1.3%
1 2
 
1.3%
Other Letter
ValueCountFrequency (%)
정 6
25.0%
보 6
25.0%
없 6
25.0%
음 6
25.0%
Other Punctuation
ValueCountFrequency (%)
: 38
100.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 247
91.1%
Hangul 24
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 45
18.2%
: 38
15.4%
38
15.4%
5 34
13.8%
2 31
12.6%
~ 19
7.7%
4 18
 
7.3%
3 17
 
6.9%
6 3
 
1.2%
8 2
 
0.8%
Hangul
ValueCountFrequency (%)
정 6
25.0%
보 6
25.0%
없 6
25.0%
음 6
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 247
91.1%
Hangul 24
 
8.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 45
18.2%
: 38
15.4%
38
15.4%
5 34
13.8%
2 31
12.6%
~ 19
7.7%
4 18
 
7.3%
3 17
 
6.9%
6 3
 
1.2%
8 2
 
0.8%
Hangul
ValueCountFrequency (%)
정 6
25.0%
보 6
25.0%
없 6
25.0%
음 6
25.0%

토요일회차시간
Text

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T10:58:27.792460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.84
Min length4

Characters and Unicode

Total characters271
Distinct characters15
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

Unique17 ?
Unique (%)68.0%

Sample

1st row05:50 ~ 24:00
2nd row05:30 ~ 24:05
3rd row05:45 ~ 23:45
4th row06:00 ~ 23:30
5th row05:30 ~ 24:45
ValueCountFrequency (%)
19
30.2%
정보없음 6
 
9.5%
24:25 4
 
6.3%
05:30 4
 
6.3%
05:25 3
 
4.8%
05:40 2
 
3.2%
23:00 2
 
3.2%
05:20 2
 
3.2%
23:45 2
 
3.2%
24:00 2
 
3.2%
Other values (16) 17
27.0%
2023-12-12T10:58:28.416857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 45
16.6%
: 38
14.0%
38
14.0%
5 34
12.5%
2 31
11.4%
~ 19
7.0%
4 18
 
6.6%
3 17
 
6.3%
정 6
 
2.2%
보 6
 
2.2%
Other values (5) 19
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 152
56.1%
Other Punctuation 38
 
14.0%
Space Separator 38
 
14.0%
Other Letter 24
 
8.9%
Math Symbol 19
 
7.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 45
29.6%
5 34
22.4%
2 31
20.4%
4 18
 
11.8%
3 17
 
11.2%
6 3
 
2.0%
8 2
 
1.3%
1 2
 
1.3%
Other Letter
ValueCountFrequency (%)
정 6
25.0%
보 6
25.0%
없 6
25.0%
음 6
25.0%
Other Punctuation
ValueCountFrequency (%)
: 38
100.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 247
91.1%
Hangul 24
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 45
18.2%
: 38
15.4%
38
15.4%
5 34
13.8%
2 31
12.6%
~ 19
7.7%
4 18
 
7.3%
3 17
 
6.9%
6 3
 
1.2%
8 2
 
0.8%
Hangul
ValueCountFrequency (%)
정 6
25.0%
보 6
25.0%
없 6
25.0%
음 6
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 247
91.1%
Hangul 24
 
8.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 45
18.2%
: 38
15.4%
38
15.4%
5 34
13.8%
2 31
12.6%
~ 19
7.7%
4 18
 
7.3%
3 17
 
6.9%
6 3
 
1.2%
8 2
 
0.8%
Hangul
ValueCountFrequency (%)
정 6
25.0%
보 6
25.0%
없 6
25.0%
음 6
25.0%

공휴일회차시간
Text

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T10:58:28.706232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.84
Min length4

Characters and Unicode

Total characters271
Distinct characters15
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

Unique17 ?
Unique (%)68.0%

Sample

1st row05:50 ~ 24:00
2nd row05:30 ~ 24:05
3rd row05:45 ~ 23:45
4th row06:00 ~ 23:30
5th row05:30 ~ 24:45
ValueCountFrequency (%)
19
30.2%
정보없음 6
 
9.5%
24:25 4
 
6.3%
05:30 4
 
6.3%
05:25 3
 
4.8%
05:40 2
 
3.2%
23:00 2
 
3.2%
05:20 2
 
3.2%
23:45 2
 
3.2%
24:00 2
 
3.2%
Other values (16) 17
27.0%
2023-12-12T10:58:29.052569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 45
16.6%
: 38
14.0%
38
14.0%
5 34
12.5%
2 31
11.4%
~ 19
7.0%
4 18
 
6.6%
3 17
 
6.3%
정 6
 
2.2%
보 6
 
2.2%
Other values (5) 19
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 152
56.1%
Other Punctuation 38
 
14.0%
Space Separator 38
 
14.0%
Other Letter 24
 
8.9%
Math Symbol 19
 
7.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 45
29.6%
5 34
22.4%
2 31
20.4%
4 18
 
11.8%
3 17
 
11.2%
6 3
 
2.0%
8 2
 
1.3%
1 2
 
1.3%
Other Letter
ValueCountFrequency (%)
정 6
25.0%
보 6
25.0%
없 6
25.0%
음 6
25.0%
Other Punctuation
ValueCountFrequency (%)
: 38
100.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 247
91.1%
Hangul 24
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 45
18.2%
: 38
15.4%
38
15.4%
5 34
13.8%
2 31
12.6%
~ 19
7.7%
4 18
 
7.3%
3 17
 
6.9%
6 3
 
1.2%
8 2
 
0.8%
Hangul
ValueCountFrequency (%)
정 6
25.0%
보 6
25.0%
없 6
25.0%
음 6
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 247
91.1%
Hangul 24
 
8.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 45
18.2%
: 38
15.4%
38
15.4%
5 34
13.8%
2 31
12.6%
~ 19
7.7%
4 18
 
7.3%
3 17
 
6.9%
6 3
 
1.2%
8 2
 
0.8%
Hangul
ValueCountFrequency (%)
정 6
25.0%
보 6
25.0%
없 6
25.0%
음 6
25.0%

평일배차간격(분)
Text

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T10:58:29.284291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.68
Min length3

Characters and Unicode

Total characters117
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

Unique18 ?
Unique (%)72.0%

Sample

1st row12~15
2nd row9~12
3rd row3~5
4th row26~35
5th row9~14
ValueCountFrequency (%)
12~15 3
 
12.0%
16~25 2
 
8.0%
9~12 2
 
8.0%
21~27 1
 
4.0%
6~9 1
 
4.0%
24~26 1
 
4.0%
18~22 1
 
4.0%
35~45 1
 
4.0%
22~28 1
 
4.0%
14~18 1
 
4.0%
Other values (11) 11
44.0%
2023-12-12T10:58:29.738078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 26
22.2%
~ 25
21.4%
2 23
19.7%
5 10
 
8.5%
6 7
 
6.0%
3 7
 
6.0%
9 6
 
5.1%
4 5
 
4.3%
0 4
 
3.4%
8 3
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 92
78.6%
Math Symbol 25
 
21.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 26
28.3%
2 23
25.0%
5 10
 
10.9%
6 7
 
7.6%
3 7
 
7.6%
9 6
 
6.5%
4 5
 
5.4%
0 4
 
4.3%
8 3
 
3.3%
7 1
 
1.1%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 117
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 26
22.2%
~ 25
21.4%
2 23
19.7%
5 10
 
8.5%
6 7
 
6.0%
3 7
 
6.0%
9 6
 
5.1%
4 5
 
4.3%
0 4
 
3.4%
8 3
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 117
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 26
22.2%
~ 25
21.4%
2 23
19.7%
5 10
 
8.5%
6 7
 
6.0%
3 7
 
6.0%
9 6
 
5.1%
4 5
 
4.3%
0 4
 
3.4%
8 3
 
2.6%

토요일배차간격(분)
Text

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T10:58:29.963056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.88
Min length3

Characters and Unicode

Total characters122
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

Unique21 ?
Unique (%)84.0%

Sample

1st row15~18
2nd row12~15
3rd row4~7
4th row26~35
5th row11~15
ValueCountFrequency (%)
14~18 2
 
8.0%
12~15 2
 
8.0%
13~19 1
 
4.0%
15~18 1
 
4.0%
14~15 1
 
4.0%
26~32 1
 
4.0%
24~26 1
 
4.0%
22~28 1
 
4.0%
19~31 1
 
4.0%
35~45 1
 
4.0%
Other values (13) 13
52.0%
2023-12-12T10:58:30.387090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 30
24.6%
~ 25
20.5%
2 18
14.8%
5 11
 
9.0%
3 11
 
9.0%
4 9
 
7.4%
6 7
 
5.7%
8 5
 
4.1%
9 3
 
2.5%
7 2
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 97
79.5%
Math Symbol 25
 
20.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 30
30.9%
2 18
18.6%
5 11
 
11.3%
3 11
 
11.3%
4 9
 
9.3%
6 7
 
7.2%
8 5
 
5.2%
9 3
 
3.1%
7 2
 
2.1%
0 1
 
1.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 122
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 30
24.6%
~ 25
20.5%
2 18
14.8%
5 11
 
9.0%
3 11
 
9.0%
4 9
 
7.4%
6 7
 
5.7%
8 5
 
4.1%
9 3
 
2.5%
7 2
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 122
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 30
24.6%
~ 25
20.5%
2 18
14.8%
5 11
 
9.0%
3 11
 
9.0%
4 9
 
7.4%
6 7
 
5.7%
8 5
 
4.1%
9 3
 
2.5%
7 2
 
1.6%

공휴일배차간격(분)
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T10:58:30.614471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.88
Min length3

Characters and Unicode

Total characters122
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

Unique23 ?
Unique (%)92.0%

Sample

1st row17~21
2nd row13~17
3rd row5~8
4th row26~35
5th row12~17
ValueCountFrequency (%)
12~17 2
 
8.0%
17~21 1
 
4.0%
16~21 1
 
4.0%
26~32 1
 
4.0%
24~26 1
 
4.0%
22~28 1
 
4.0%
19~31 1
 
4.0%
35~45 1
 
4.0%
30~36 1
 
4.0%
21~28 1
 
4.0%
Other values (14) 14
56.0%
2023-12-12T10:58:31.000652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 26
21.3%
~ 25
20.5%
1 23
18.9%
3 14
11.5%
5 8
 
6.6%
8 7
 
5.7%
6 7
 
5.7%
4 5
 
4.1%
7 4
 
3.3%
9 2
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 97
79.5%
Math Symbol 25
 
20.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 26
26.8%
1 23
23.7%
3 14
14.4%
5 8
 
8.2%
8 7
 
7.2%
6 7
 
7.2%
4 5
 
5.2%
7 4
 
4.1%
9 2
 
2.1%
0 1
 
1.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 122
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 26
21.3%
~ 25
20.5%
1 23
18.9%
3 14
11.5%
5 8
 
6.6%
8 7
 
5.7%
6 7
 
5.7%
4 5
 
4.1%
7 4
 
3.3%
9 2
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 122
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 26
21.3%
~ 25
20.5%
1 23
18.9%
3 14
11.5%
5 8
 
6.6%
8 7
 
5.7%
6 7
 
5.7%
4 5
 
4.1%
7 4
 
3.3%
9 2
 
1.6%

운수사
Text

Distinct13
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T10:58:31.196292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.12
Min length4

Characters and Unicode

Total characters103
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)20.0%

Sample

1st row삼성여객
2nd row삼환운수
3rd row성민버스
4th row성민버스
5th row해성운수
ValueCountFrequency (%)
삼환운수 4
16.0%
신동아교통 3
12.0%
공영급행 3
12.0%
성민버스 2
8.0%
해성운수 2
8.0%
대인교통 2
8.0%
신흥교통 2
8.0%
명진교통 2
8.0%
삼성여객 1
 
4.0%
성산여객 1
 
4.0%
Other values (3) 3
12.0%
2023-12-12T10:58:31.613103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 9
 
8.7%
통 9
 
8.7%
운 8
 
7.8%
수 8
 
7.8%
성 7
 
6.8%
삼 6
 
5.8%
신 5
 
4.9%
환 5
 
4.9%
영 4
 
3.9%
행 3
 
2.9%
Other values (18) 39
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 103
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 9
 
8.7%
통 9
 
8.7%
운 8
 
7.8%
수 8
 
7.8%
성 7
 
6.8%
삼 6
 
5.8%
신 5
 
4.9%
환 5
 
4.9%
영 4
 
3.9%
행 3
 
2.9%
Other values (18) 39
37.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 103
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 9
 
8.7%
통 9
 
8.7%
운 8
 
7.8%
수 8
 
7.8%
성 7
 
6.8%
삼 6
 
5.8%
신 5
 
4.9%
환 5
 
4.9%
영 4
 
3.9%
행 3
 
2.9%
Other values (18) 39
37.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 103
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 9
 
8.7%
통 9
 
8.7%
운 8
 
7.8%
수 8
 
7.8%
성 7
 
6.8%
삼 6
 
5.8%
신 5
 
4.9%
환 5
 
4.9%
영 4
 
3.9%
행 3
 
2.9%
Other values (18) 39
37.9%

전화번호
Text

Distinct13
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T10:58:31.837398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters300
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

Unique5 ?
Unique (%)20.0%

Sample

1st row032-505-1249
2nd row032-465-1919
3rd row032-831-0399
4th row032-831-0399
5th row032-571-7290
ValueCountFrequency (%)
032-465-1919 4
16.0%
032-867-7065 3
12.0%
032-432-2295 3
12.0%
032-831-0399 2
8.0%
032-571-7290 2
8.0%
032-507-5938 2
8.0%
032-888-3516 2
8.0%
032-330-3172 2
8.0%
032-505-1249 1
 
4.0%
032-513-4823 1
 
4.0%
Other values (3) 3
12.0%
2023-12-12T10:58:32.198280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 50
16.7%
3 44
14.7%
2 41
13.7%
0 40
13.3%
5 23
7.7%
9 22
7.3%
1 21
7.0%
6 19
 
6.3%
8 15
 
5.0%
7 14
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
83.3%
Dash Punctuation 50
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 44
17.6%
2 41
16.4%
0 40
16.0%
5 23
9.2%
9 22
8.8%
1 21
8.4%
6 19
7.6%
8 15
 
6.0%
7 14
 
5.6%
4 11
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 50
16.7%
3 44
14.7%
2 41
13.7%
0 40
13.3%
5 23
7.7%
9 22
7.3%
1 21
7.0%
6 19
 
6.3%
8 15
 
5.0%
7 14
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 50
16.7%
3 44
14.7%
2 41
13.7%
0 40
13.3%
5 23
7.7%
9 22
7.3%
1 21
7.0%
6 19
 
6.3%
8 15
 
5.0%
7 14
 
4.7%

Correlations

2023-12-12T10:58:32.330302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선번호기점(출발지)종첨(도착지)평일기점시간토요일기점시간공휴일기점시간평일회차시간토요일회차시간공휴일회차시간평일배차간격(분)토요일배차간격(분)공휴일배차간격(분)운수사전화번호
노선번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
기점(출발지)1.0001.0000.9910.9030.8860.8860.8540.8540.8540.8460.9860.9521.0001.000
종첨(도착지)1.0000.9911.0000.7320.6710.6710.4900.4900.4900.4780.9450.9930.7650.765
평일기점시간1.0000.9030.7321.0001.0001.0000.9860.9860.9860.0000.8820.9680.8750.875
토요일기점시간1.0000.8860.6711.0001.0001.0000.9690.9690.9690.0000.9050.9730.9280.928
공휴일기점시간1.0000.8860.6711.0001.0001.0000.9690.9690.9690.0000.9050.9730.9280.928
평일회차시간1.0000.8540.4900.9860.9690.9691.0001.0001.0000.2280.8570.9590.9500.950
토요일회차시간1.0000.8540.4900.9860.9690.9691.0001.0001.0000.2280.8570.9590.9500.950
공휴일회차시간1.0000.8540.4900.9860.9690.9691.0001.0001.0000.2280.8570.9590.9500.950
평일배차간격(분)1.0000.8460.4780.0000.0000.0000.2280.2280.2281.0000.9500.9440.4070.407
토요일배차간격(분)1.0000.9860.9450.8820.9050.9050.8570.8570.8570.9501.0000.9590.9800.980
공휴일배차간격(분)1.0000.9520.9930.9680.9730.9730.9590.9590.9590.9440.9591.0000.9590.959
운수사1.0001.0000.7650.8750.9280.9280.9500.9500.9500.4070.9800.9591.0001.000
전화번호1.0001.0000.7650.8750.9280.9280.9500.9500.9500.4070.9800.9591.0001.000

Missing values

2023-12-12T10:58:23.640659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:58:23.917285image/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

노선번호기점(출발지)종첨(도착지)평일기점시간토요일기점시간공휴일기점시간평일회차시간토요일회차시간공휴일회차시간평일배차간격(분)토요일배차간격(분)공휴일배차간격(분)운수사전화번호
0506산업용품유통센터명가빌라(회차)05:30 ~ 22:5505:30 ~ 22:5505:30 ~ 22:5505:50 ~ 24:0005:50 ~ 24:0005:50 ~ 24:0012~1515~1817~21삼성여객032-505-1249
1510510번차고지도화역05:10 ~ 23:4005:10 ~ 23:4005:10 ~ 23:4005:30 ~ 24:0505:30 ~ 24:0505:30 ~ 24:059~1212~1513~17삼환운수032-465-1919
2511독배로317번길(삼거리)주안역환승정류장05:20 ~ 23:2005:20 ~ 23:2005:20 ~ 23:2005:45 ~ 23:4505:45 ~ 23:4505:45 ~ 23:453~54~75~8성민버스032-831-0399
3512인하대후문삼성빌라(종점)05:30 ~ 23:0005:30 ~ 23:0005:30 ~ 23:0006:00 ~ 23:3006:00 ~ 23:3006:00 ~ 23:3026~3526~3526~35성민버스032-831-0399
4514-1남촌농산물도매시장주안역환승정류장05:30 ~ 24:1005:30 ~ 24:1005:30 ~ 24:1005:30 ~ 24:4505:30 ~ 24:4505:30 ~ 24:459~1411~1512~17해성운수032-571-7290
5515인천지방법원주안역05:00 ~ 23:4005:00 ~ 23:4005:00 ~ 23:4005:40 ~ 24:3005:40 ~ 24:3005:40 ~ 24:3010~1312~1513~18대인교통032-507-5938
6515-1인천지방법원주안역05:00 ~ 24:0005:00 ~ 24:0005:00 ~ 24:0005:20 ~ 24:2505:20 ~ 24:2505:20 ~ 24:2515~2315~2322~35대인교통032-507-5938
7516현광아파트후문주안역환승정류장05:00 ~ 24:0005:00 ~ 24:0005:00 ~ 24:0005:25 ~ 24:2505:25 ~ 24:2505:25 ~ 24:2514~2014~1819~22신동아교통032-867-7065
8517윤성아파트(인항고교)동인천05:10 ~ 23:2005:10 ~ 23:2005:10 ~ 23:20정보없음정보없음정보없음19~2225~3525~35신흥교통032-888-3516
9518종점(병무청)주안역05:00 ~ 24:0005:00 ~ 24:0005:00 ~ 24:0005:25 ~ 24:2505:25 ~ 24:2505:25 ~ 24:259~1311~1412~17신동아교통032-867-7065
노선번호기점(출발지)종첨(도착지)평일기점시간토요일기점시간공휴일기점시간평일회차시간토요일회차시간공휴일회차시간평일배차간격(분)토요일배차간격(분)공휴일배차간격(분)운수사전화번호
15534장수공영차고지롯데백화점(인천터미널)05:10 ~ 23:2005:30 ~ 23:2005:30 ~ 23:2005:48 ~ 24:0005:48 ~ 24:0005:48 ~ 24:0010~1114~1514~15삼환여객032-466-1149
16537남동국가산업단지입구동암남부역04:40 ~ 23:2004:40 ~ 23:2004:40 ~ 23:2005:40 ~ 24:2005:40 ~ 24:2005:40 ~ 24:2010~1613~1914~22성원운수032-506-5260
17540540번종점남동중학교05:00 ~ 23:3005:00 ~ 23:3005:00 ~ 23:3005:02 ~ 23:2805:02 ~ 23:2805:02 ~ 23:2814~1818~2421~28삼환운수032-465-1919
18566산업단지사거리시청광장입구05:30 ~ 23:0505:30 ~ 23:0505:30 ~ 23:0506:15 ~ 23:4506:15 ~ 23:4506:15 ~ 23:4522~2830~3630~36삼환운수032-465-1919
19순환51구월아시아드1단지예술회관사거리05:30 ~ 23:0005:30 ~ 23:0005:30 ~ 23:00정보없음정보없음정보없음35~4535~4535~45해성운수032-571-7290
20순환52소래포구역종점송도역05:45 ~ 23:0005:45 ~ 23:0005:45 ~ 23:0006:35 ~ 23:3006:35 ~ 23:3006:35 ~ 23:3016~2519~3119~31명진교통032-330-3172
21순환56서창공영차고지인천터미널역05:00 ~ 23:2005:00 ~ 23:2005:00 ~ 23:20정보없음정보없음정보없음18~2222~2822~28삼환운수032-465-1919
22인천e음12인천역(차이나타운)숭의로터리05:30 ~ 23:0005:30 ~ 23:0005:30 ~ 23:00정보없음정보없음정보없음24~2624~2624~26공영급행032-432-2295
23인천e음22만석비치타운도원고개.동구청방향05:30 ~ 23:0005:30 ~ 23:0005:30 ~ 23:00정보없음정보없음정보없음26~3226~3226~32공영급행032-432-2295
24인천e음31교통방송사거리주안역환승정류장05:30 ~ 23:3005:30 ~ 23:3005:30 ~ 23:30정보없음정보없음정보없음16~2522~3222~32공영급행032-432-2295