Overview

Dataset statistics

Number of variables28
Number of observations57
Missing cells519
Missing cells (%)32.5%
Duplicate rows2
Duplicate rows (%)3.5%
Total size in memory12.6 KiB
Average record size in memory226.3 B

Variable types

Categorical3
Unsupported20
Text5

Dataset

Description양산시 시내버스 노선과 소요시간, 배차간견, 운행횟수, 차고지, 주말평일 운행대수 및 운행시간, 배차간격 등 양산시내 업체별 시내버스 운행계통을 확인할 수 있습니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15078188

Alerts

Unnamed: 12 has constant value ""Constant
Unnamed: 25 has constant value ""Constant
Dataset has 2 (3.5%) duplicate rowsDuplicates
Unnamed: 1 has 15 (26.3%) missing valuesMissing
Unnamed: 4 has 15 (26.3%) missing valuesMissing
Unnamed: 5 has 15 (26.3%) missing valuesMissing
Unnamed: 6 has 2 (3.5%) missing valuesMissing
Unnamed: 7 has 3 (5.3%) missing valuesMissing
Unnamed: 8 has 3 (5.3%) missing valuesMissing
Unnamed: 9 has 54 (94.7%) missing valuesMissing
Unnamed: 10 has 3 (5.3%) missing valuesMissing
Unnamed: 11 has 14 (24.6%) missing valuesMissing
Unnamed: 12 has 56 (98.2%) missing valuesMissing
Unnamed: 13 has 14 (24.6%) missing valuesMissing
Unnamed: 14 has 15 (26.3%) missing valuesMissing
Unnamed: 15 has 15 (26.3%) missing valuesMissing
Unnamed: 16 has 15 (26.3%) missing valuesMissing
Unnamed: 17 has 8 (14.0%) missing valuesMissing
Unnamed: 18 has 3 (5.3%) missing valuesMissing
Unnamed: 19 has 3 (5.3%) missing valuesMissing
Unnamed: 20 has 3 (5.3%) missing valuesMissing
Unnamed: 21 has 15 (26.3%) missing valuesMissing
Unnamed: 22 has 8 (14.0%) missing valuesMissing
Unnamed: 23 has 54 (94.7%) missing valuesMissing
Unnamed: 24 has 46 (80.7%) missing valuesMissing
Unnamed: 25 has 56 (98.2%) missing valuesMissing
Unnamed: 26 has 36 (63.2%) missing valuesMissing
Unnamed: 27 has 48 (84.2%) missing valuesMissing
Unnamed: 1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 18 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 19 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 20 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 22 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 23 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 24 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 26 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 27 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 00:28:10.046571
Analysis finished2023-12-11 00:28:10.618361
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체별 시내버스 운행계통(일반,직행좌석)
Categorical

Distinct7
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
일반
32 
<NA>
12 
직행좌석
9 
【'21.3.2. 시행 기준】- 2개사, 41개 노선(5개 노선 공동), 210대, 1004회
 
1
구분
 
1
Other values (2)
 
2

Length

Max length52
Median length2
Mean length3.7894737
Min length2

Unique

Unique4 ?
Unique (%)7.0%

Sample

1st row【'21.3.2. 시행 기준】- 2개사, 41개 노선(5개 노선 공동), 210대, 1004회
2nd row구분
3rd row<NA>
4th row<NA>
5th row(주)세원 계

Common Values

ValueCountFrequency (%)
일반 32
56.1%
<NA> 12
 
21.1%
직행좌석 9
 
15.8%
【'21.3.2. 시행 기준】- 2개사, 41개 노선(5개 노선 공동), 210대, 1004회 1
 
1.8%
구분 1
 
1.8%
(주)세원 계 1
 
1.8%
푸른교통㈜ 계 1
 
1.8%

Length

2023-12-11T09:28:10.684303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:28:10.806803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 32
47.1%
na 12
 
17.6%
직행좌석 9
 
13.2%
계 2
 
2.9%
공동 1
 
1.5%
주)세원 1
 
1.5%
구분 1
 
1.5%
1004회 1
 
1.5%
210대 1
 
1.5%
노선(5개 1
 
1.5%
Other values (7) 7
 
10.3%

Unnamed: 1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing15
Missing (%)26.3%
Memory size588.0 B

Unnamed: 2
Categorical

Distinct5
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
세원
32 
푸른
14 
<NA>
5 
계
5 
업체
 
1

Length

Max length4
Median length2
Mean length2.0877193
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

1st row<NA>
2nd row업체
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
세원 32
56.1%
푸른 14
24.6%
<NA> 5
 
8.8%
계 5
 
8.8%
업체 1
 
1.8%

Length

2023-12-11T09:28:10.950114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:28:11.106934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세원 32
56.1%
푸른 14
24.6%
na 5
 
8.8%
계 5
 
8.8%
업체 1
 
1.8%

Unnamed: 3
Categorical

Distinct15
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
13 
증산 (차고지)
13 
양산역 환승센터
9 
북정
4 
용당 (차고지)
4 
Other values (10)
14 

Length

Max length10
Median length9
Mean length5.9473684
Min length2

Unique

Unique7 ?
Unique (%)12.3%

Sample

1st row<NA>
2nd row기점
3rd row<NA>
4th row<NA>
5th row32개 노선

Common Values

ValueCountFrequency (%)
<NA> 13
22.8%
증산 (차고지) 13
22.8%
양산역 환승센터 9
15.8%
북정 4
 
7.0%
용당 (차고지) 4
 
7.0%
용선 3
 
5.3%
원동역 2
 
3.5%
부산 (노포TR) 2
 
3.5%
기점 1
 
1.8%
32개 노선 1
 
1.8%
Other values (5) 5
 
8.8%

Length

2023-12-11T09:28:11.248189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
차고지 17
18.9%
na 13
14.4%
증산 13
14.4%
양산역 9
10.0%
환승센터 9
10.0%
북정 4
 
4.4%
용당 4
 
4.4%
용선 3
 
3.3%
원동역 2
 
2.2%
부산 2
 
2.2%
Other values (12) 14
15.6%

Unnamed: 4
Text

MISSING 

Distinct40
Distinct (%)95.2%
Missing15
Missing (%)26.3%
Memory size588.0 B
2023-12-11T09:28:11.570231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length57.5
Mean length50.357143
Min length3

Characters and Unicode

Total characters2115
Distinct characters189
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)90.5%

Sample

1st row경유지
2nd row원동면사무소-소원동-원동중-함포-선장-내포-영포-배내사거리-풍호-대리-금천-선리-장선
3rd row원동면사무소-소원동-원동중-함포-선장-내포-어영다리
4th row증산역-가촌신도시(동아중)-반도3·4차-남양산역-범어중-신주중-황산우체국-양산역환승센터-남부고
5th row대방7차-한신더휴-시립도서관정문-양산부산대병원-남부고-남부시장-신한은행-신기주공-대우마리나-공암-상북초교-상삼-좌삼-외석-양산대대(석계공원묘지)
ValueCountFrequency (%)
덕계시장-덕계다리-혜인병원-명동마을-서창동주민센터-용당마을-웅촌면사무소-문수경기장-울주군청-공업탑 2
 
4.7%
신기해강아파트-양산고-신한은행-구.터미널-교동-신주중-범어중-가촌휴먼시아-물금역-호포역-금곡동-화명동 2
 
4.7%
증산역-가촌신도시(동아중)-가촌휴먼시아-범어윗길-신주중-양산역환승센터-신도시아파트1단지-경부고속도로-부산대역 1
 
2.3%
증산역-가촌신도시(동아중)-가촌휴먼시아-범어택지-양산역환승센터-남부고-신도시-구.터미널-신한은행-신기주공 1
 
2.3%
서창-웅상출장소-덕계-영천-시청-신도시 1
 
2.3%
증산역-가촌신도시(동아중)-범어주공3차-양산부산대병원-산림청-석산해강아파트-동면사무소-팔송삼거리 1
 
2.3%
서창동주민센터-천성리버-웅상출장소-코아루-삼성명가-덕계다리-덕계시장-월평-창기-동면우체국-노포동-범어사역-금정구청 1
 
2.3%
평산휴먼시아-웅상중-덕계시장-월평-창기-노포동-범어사역-두실역-금정e마트-금정구청 1
 
2.3%
양산역-서이동-구.터미널-신한은행 1
 
2.3%
양산역-서이동-구.터미널-신한은행-신기우방아파트-양산고-동원과학기술대학교 1
 
2.3%
Other values (31) 31
72.1%
2023-12-11T09:28:12.107102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 370
 
17.5%
산 88
 
4.2%
신 74
 
3.5%
동 51
 
2.4%
역 48
 
2.3%
시 47
 
2.2%
터 38
 
1.8%
양 37
 
1.7%
주 35
 
1.7%
원 35
 
1.7%
Other values (179) 1292
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1682
79.5%
Dash Punctuation 370
 
17.5%
Other Punctuation 19
 
0.9%
Decimal Number 17
 
0.8%
Open Punctuation 8
 
0.4%
Close Punctuation 8
 
0.4%
Uppercase Letter 8
 
0.4%
Lowercase Letter 2
 
0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 88
 
5.2%
신 74
 
4.4%
동 51
 
3.0%
역 48
 
2.9%
시 47
 
2.8%
터 38
 
2.3%
양 37
 
2.2%
주 35
 
2.1%
원 35
 
2.1%
부 30
 
1.8%
Other values (164) 1199
71.3%
Decimal Number
ValueCountFrequency (%)
1 4
23.5%
3 4
23.5%
7 3
17.6%
2 3
17.6%
4 2
11.8%
8 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 16
84.2%
· 3
 
15.8%
Uppercase Letter
ValueCountFrequency (%)
R 4
50.0%
T 4
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 370
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1682
79.5%
Common 423
 
20.0%
Latin 10
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 88
 
5.2%
신 74
 
4.4%
동 51
 
3.0%
역 48
 
2.9%
시 47
 
2.8%
터 38
 
2.3%
양 37
 
2.2%
주 35
 
2.1%
원 35
 
2.1%
부 30
 
1.8%
Other values (164) 1199
71.3%
Common
ValueCountFrequency (%)
- 370
87.5%
. 16
 
3.8%
( 8
 
1.9%
) 8
 
1.9%
1 4
 
0.9%
3 4
 
0.9%
7 3
 
0.7%
· 3
 
0.7%
2 3
 
0.7%
4 2
 
0.5%
Other values (2) 2
 
0.5%
Latin
ValueCountFrequency (%)
R 4
40.0%
T 4
40.0%
e 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1682
79.5%
ASCII 430
 
20.3%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 370
86.0%
. 16
 
3.7%
( 8
 
1.9%
) 8
 
1.9%
R 4
 
0.9%
1 4
 
0.9%
T 4
 
0.9%
3 4
 
0.9%
7 3
 
0.7%
2 3
 
0.7%
Other values (4) 6
 
1.4%
Hangul
ValueCountFrequency (%)
산 88
 
5.2%
신 74
 
4.4%
동 51
 
3.0%
역 48
 
2.9%
시 47
 
2.8%
터 38
 
2.3%
양 37
 
2.2%
주 35
 
2.1%
원 35
 
2.1%
부 30
 
1.8%
Other values (164) 1199
71.3%
None
ValueCountFrequency (%)
· 3
100.0%

Unnamed: 5
Text

MISSING 

Distinct25
Distinct (%)59.5%
Missing15
Missing (%)26.3%
Memory size588.0 B
2023-12-11T09:28:12.337145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length6.2142857
Min length2

Characters and Unicode

Total characters261
Distinct characters83
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

Unique17 ?
Unique (%)40.5%

Sample

1st row종점
2nd row파래소폭포입구(태봉)
3rd row어영
4th row석산 양우6차
5th row내석
ValueCountFrequency (%)
부산 14
22.6%
명륜역 6
 
9.7%
북정 4
 
6.5%
ktx울산역 3
 
4.8%
덕천역 3
 
4.8%
금정세무서 3
 
4.8%
파래소폭포입구(태봉 2
 
3.2%
호포 2
 
3.2%
울산tr 2
 
3.2%
명곡 1
 
1.6%
Other values (22) 22
35.5%
2023-12-11T09:28:12.704973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 25
 
9.6%
20
 
7.7%
부 16
 
6.1%
( 16
 
6.1%
) 16
 
6.1%
역 14
 
5.4%
정 7
 
2.7%
명 7
 
2.7%
륜 6
 
2.3%
T 6
 
2.3%
Other values (73) 128
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180
69.0%
Control 20
 
7.7%
Open Punctuation 16
 
6.1%
Close Punctuation 16
 
6.1%
Uppercase Letter 15
 
5.7%
Lowercase Letter 13
 
5.0%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 25
 
13.9%
부 16
 
8.9%
역 14
 
7.8%
정 7
 
3.9%
명 7
 
3.9%
륜 6
 
3.3%
울 5
 
2.8%
금 5
 
2.8%
포 5
 
2.8%
북 4
 
2.2%
Other values (55) 86
47.8%
Lowercase Letter
ValueCountFrequency (%)
k 2
15.4%
r 2
15.4%
d 2
15.4%
o 1
7.7%
u 1
7.7%
t 1
7.7%
s 1
7.7%
e 1
7.7%
g 1
7.7%
y 1
7.7%
Uppercase Letter
ValueCountFrequency (%)
T 6
40.0%
R 3
20.0%
K 3
20.0%
X 3
20.0%
Control
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Decimal Number
ValueCountFrequency (%)
6 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 180
69.0%
Common 53
 
20.3%
Latin 28
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 25
 
13.9%
부 16
 
8.9%
역 14
 
7.8%
정 7
 
3.9%
명 7
 
3.9%
륜 6
 
3.3%
울 5
 
2.8%
금 5
 
2.8%
포 5
 
2.8%
북 4
 
2.2%
Other values (55) 86
47.8%
Latin
ValueCountFrequency (%)
T 6
21.4%
R 3
10.7%
K 3
10.7%
X 3
10.7%
k 2
 
7.1%
r 2
 
7.1%
d 2
 
7.1%
o 1
 
3.6%
u 1
 
3.6%
t 1
 
3.6%
Other values (4) 4
14.3%
Common
ValueCountFrequency (%)
20
37.7%
( 16
30.2%
) 16
30.2%
6 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 180
69.0%
ASCII 81
31.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 25
 
13.9%
부 16
 
8.9%
역 14
 
7.8%
정 7
 
3.9%
명 7
 
3.9%
륜 6
 
3.3%
울 5
 
2.8%
금 5
 
2.8%
포 5
 
2.8%
북 4
 
2.2%
Other values (55) 86
47.8%
ASCII
ValueCountFrequency (%)
20
24.7%
( 16
19.8%
) 16
19.8%
T 6
 
7.4%
R 3
 
3.7%
K 3
 
3.7%
X 3
 
3.7%
k 2
 
2.5%
r 2
 
2.5%
d 2
 
2.5%
Other values (8) 8
 
9.9%

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)3.5%
Memory size588.0 B

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)5.3%
Memory size588.0 B

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)5.3%
Memory size588.0 B

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)94.7%
Memory size588.0 B

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)5.3%
Memory size588.0 B

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing14
Missing (%)24.6%
Memory size588.0 B

Unnamed: 12
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing56
Missing (%)98.2%
Memory size588.0 B
2023-12-11T09:28:12.867051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters8
Distinct characters8
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

Unique1 ?
Unique (%)100.0%

Sample

1st row휴식시간 (분)
ValueCountFrequency (%)
휴식시간 1
50.0%
분 1
50.0%
2023-12-11T09:28:13.192195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
휴 1
12.5%
식 1
12.5%
시 1
12.5%
간 1
12.5%
1
12.5%
( 1
12.5%
분 1
12.5%
) 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
62.5%
Control 1
 
12.5%
Open Punctuation 1
 
12.5%
Close Punctuation 1
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
휴 1
20.0%
식 1
20.0%
시 1
20.0%
간 1
20.0%
분 1
20.0%
Control
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
62.5%
Common 3
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
휴 1
20.0%
식 1
20.0%
시 1
20.0%
간 1
20.0%
분 1
20.0%
Common
ValueCountFrequency (%)
1
33.3%
( 1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
62.5%
ASCII 3
37.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
휴 1
20.0%
식 1
20.0%
시 1
20.0%
간 1
20.0%
분 1
20.0%
ASCII
ValueCountFrequency (%)
1
33.3%
( 1
33.3%
) 1
33.3%

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing14
Missing (%)24.6%
Memory size588.0 B

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing15
Missing (%)26.3%
Memory size588.0 B

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing15
Missing (%)26.3%
Memory size588.0 B

Unnamed: 16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing15
Missing (%)26.3%
Memory size588.0 B

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8
Missing (%)14.0%
Memory size588.0 B

Unnamed: 18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)5.3%
Memory size588.0 B

Unnamed: 19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)5.3%
Memory size588.0 B

Unnamed: 20
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)5.3%
Memory size588.0 B

Unnamed: 21
Text

MISSING 

Distinct42
Distinct (%)100.0%
Missing15
Missing (%)26.3%
Memory size588.0 B
2023-12-11T09:28:13.450655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length11
Mean length12.238095
Min length11

Characters and Unicode

Total characters514
Distinct characters29
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

Unique42 ?
Unique (%)100.0%

Sample

1st row기점 출발 첫차 막차
2nd row07:10 19:35
3rd row06:05 18:30
4th row05:55 22:55
5th row06:00 20:35
ValueCountFrequency (%)
07:00 3
 
3.3%
05:55 3
 
3.3%
05:20 3
 
3.3%
심야 2
 
2.2%
20:40 2
 
2.2%
21:45 2
 
2.2%
06:45 2
 
2.2%
21:25 2
 
2.2%
21:40 2
 
2.2%
05:35 2
 
2.2%
Other values (61) 69
75.0%
2023-12-11T09:28:13.865381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 112
21.8%
: 84
16.3%
5 66
12.8%
2 56
10.9%
41
 
8.0%
1 33
 
6.4%
28
 
5.4%
4 20
 
3.9%
3 17
 
3.3%
6 14
 
2.7%
Other values (19) 43
 
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
65.4%
Other Punctuation 84
 
16.3%
Control 41
 
8.0%
Space Separator 28
 
5.4%
Other Letter 17
 
3.3%
Uppercase Letter 4
 
0.8%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
발 3
17.6%
차 2
11.8%
야 2
11.8%
심 2
11.8%
평 1
 
5.9%
신 1
 
5.9%
기 1
 
5.9%
점 1
 
5.9%
출 1
 
5.9%
첫 1
 
5.9%
Other values (2) 2
11.8%
Decimal Number
ValueCountFrequency (%)
0 112
33.3%
5 66
19.6%
2 56
16.7%
1 33
 
9.8%
4 20
 
6.0%
3 17
 
5.1%
6 14
 
4.2%
7 9
 
2.7%
8 5
 
1.5%
9 4
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
R 2
50.0%
T 2
50.0%
Other Punctuation
ValueCountFrequency (%)
: 84
100.0%
Control
ValueCountFrequency (%)
41
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 493
95.9%
Hangul 17
 
3.3%
Latin 4
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 112
22.7%
: 84
17.0%
5 66
13.4%
2 56
11.4%
41
 
8.3%
1 33
 
6.7%
28
 
5.7%
4 20
 
4.1%
3 17
 
3.4%
6 14
 
2.8%
Other values (5) 22
 
4.5%
Hangul
ValueCountFrequency (%)
발 3
17.6%
차 2
11.8%
야 2
11.8%
심 2
11.8%
평 1
 
5.9%
신 1
 
5.9%
기 1
 
5.9%
점 1
 
5.9%
출 1
 
5.9%
첫 1
 
5.9%
Other values (2) 2
11.8%
Latin
ValueCountFrequency (%)
R 2
50.0%
T 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 497
96.7%
Hangul 17
 
3.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 112
22.5%
: 84
16.9%
5 66
13.3%
2 56
11.3%
41
 
8.2%
1 33
 
6.6%
28
 
5.6%
4 20
 
4.0%
3 17
 
3.4%
6 14
 
2.8%
Other values (7) 26
 
5.2%
Hangul
ValueCountFrequency (%)
발 3
17.6%
차 2
11.8%
야 2
11.8%
심 2
11.8%
평 1
 
5.9%
신 1
 
5.9%
기 1
 
5.9%
점 1
 
5.9%
출 1
 
5.9%
첫 1
 
5.9%
Other values (2) 2
11.8%

Unnamed: 22
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8
Missing (%)14.0%
Memory size588.0 B

Unnamed: 23
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)94.7%
Memory size588.0 B

Unnamed: 24
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)80.7%
Memory size588.0 B

Unnamed: 25
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing56
Missing (%)98.2%
Memory size588.0 B
2023-12-11T09:28:13.991729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row예비
ValueCountFrequency (%)
예비 1
100.0%
2023-12-11T09:28:14.200531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
예 1
50.0%
비 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
예 1
50.0%
비 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
예 1
50.0%
비 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
예 1
50.0%
비 1
50.0%

Unnamed: 26
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)63.2%
Memory size588.0 B

Unnamed: 27
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)84.2%
Memory size588.0 B

Sample

업체별 시내버스 운행계통(일반,직행좌석)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27
0【'21.3.2. 시행 기준】- 2개사, 41개 노선(5개 노선 공동), 210대, 1004회NaN<NA><NA><NA><NA>NaNNaNNaNNaNNaNNaN<NA>NaNNaNNaNNaNNaNNaNNaNNaN<NA>NaNNaNNaN<NA>NaNNaN
1구분노선\n번호업체기점경유지종점상용대수\n(운행대수)NaNNaN예비대수운행거리\n(km)소요시간<NA>배차간격NaNNaNNaN운행횟수NaNNaNNaN기점 출발 첫차 막차구분\n(대형/중형)NaNNaN<NA>저상버스전기버스(저상에 포함)
2<NA>NaN<NA><NA><NA><NA>평일토요일공휴일NaNNaN운행시간\n(분)휴식시간 (분)평일\n첨두평일\n비첨두토요일\n첨두공휴일\n첨두평일\n1대당횟수평일\n1일총횟수토요일\n1일총횟수공휴일\n1일총횟수<NA>대형NaN중형<NA>NaNNaN
3<NA>NaN<NA><NA><NA><NA>NaNNaNNaNNaNNaNNaN<NA>NaNNaNNaNNaNNaNNaNNaNNaN<NA>상용예비상용예비NaNNaN
4(주)세원 계NaN<NA>32개 노선<NA><NA>124103955715.1NaN<NA>NaNNaNNaNNaNNaN654545498<NA>11757<NA>280
5푸른교통㈜ 계NaN<NA>14개 노선<NA><NA>7666665446NaN<NA>NaNNaNNaNNaNNaN350305305<NA>7650<NA>3524
6일반2세원원동역원동면사무소-소원동-원동중-함포-선장-내포-영포-배내사거리-풍호-대리-금천-선리-장선파래소폭포입구(태봉)111NaN22.540<NA>90909090888807:10 19:35NaNNaN1<NA>NaNNaN
7일반3세원원동역원동면사무소-소원동-원동중-함포-선장-내포-어영다리어영111NaN10.915<NA>150150150150555506:05 18:30NaNNaN1<NA>NaNNaN
8일반8세원증산 (차고지)증산역-가촌신도시(동아중)-반도3·4차-남양산역-범어중-신주중-황산우체국-양산역환승센터-남부고석산 양우6차12108NaN15.455<NA>10151520672604805:55 22:5512NaNNaN<NA>8NaN
9일반10세원증산 (차고지)대방7차-한신더휴-시립도서관정문-양산부산대병원-남부고-남부시장-신한은행-신기주공-대우마리나-공암-상북초교-상삼-좌삼-외석-양산대대(석계공원묘지)내석332NaN29.376<NA>5070509041212806:00 20:353NaNNaN<NA>NaNNaN
업체별 시내버스 운행계통(일반,직행좌석)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27
47직행좌석1100세원양산역 환승센터양산역-신도시아파트1단지-석산신도시-경부고속도로-금정구청-부산대역-온천장역부산 (명륜역)322NaN24.755<NA>20456767618121207:12 20:053NaNNaN<NA>NaNNaN
48직행좌석1200세원북정신기주공-신한은행-구.터미널-신도시아파트1단지-석산신도시-경부고속도로-금정구청-부산대역-온천장역부산 (명륜역)654NaN26.865<NA>202830506.33333338352805:10 22:406NaNNaN<NA>NaNNaN
49직행좌석1300세원증산 (차고지)증산역-이지2차-대방7차-양우1차-양산부산대병원-신주중-황산우체국-청어람·쌍용-신도시동원-경부고속도로-부산대역부산 (명륜역)654NaN30.665<NA>202830506.33333338352805:00 22:206NaNNaN<NA>NaNNaN
50직행좌석1500세원증산 (차고지)증산역-가촌신도시(동아중)-가촌휴먼시아-범어윗길-신주중-양산역환승센터-신도시아파트1단지-경부고속도로-부산대역부산 (명륜역)654NaN31.365<NA>202830506.33333338352805:15 22:306NaNNaN<NA>NaNNaN
51직행좌석2100푸른부산 (노포TR)덕계시장-덕계다리-혜인병원-명동마을-서창동주민센터-용당마을-웅촌면사무소-문수경기장-울주군청-공업탑울산TR111111NaN4370<NA>16161616666666605:30 22:3211NaNNaN<NA>NaNNaN
52직행좌석2300푸른부산 (노포TR)덕계시장-덕계다리-혜인병원-명동마을-서창동주민센터-용당마을-웅촌면사무소-문수경기장-울주군청-공업탑울산TR333NaN4370<NA>606060606181818<NA>3NaNNaN<NA>NaNNaN
53직행좌석3000계양산역 환승센터신도시청어람-양산종합운동장-신기주공아파트-북정성원네오파트-신북정-석계정류장KTX울산역333NaN31.240<NA>60606060618181805:20 21:403NaNNaN<NA>NaNNaN
54<NA>NaN세원<NA><NA><NA>222NaN31.2NaN<NA>NaNNaNNaNNaN6121212<NA>2NaNNaN<NA>NaNNaN
55<NA>NaN푸른<NA><NA><NA>111NaN31.2NaN<NA>NaNNaNNaNNaN6666<NA>1NaNNaN<NA>NaNNaN
56직행좌석3100푸른봉우 아파트평산동행정복지센터-덕계사거리-혜인병원-웅상문화체육센터입구-새웅상요양병원-농협은행웅상지점-웅촌-언양임시TRKTX울산역222NaN44.560<NA>120120120120488807:10 20:402NaNNaN<NA>NaNNaN

Duplicate rows

Most frequently occurring

업체별 시내버스 운행계통(일반,직행좌석)Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 12Unnamed: 21Unnamed: 25# duplicates
1<NA>푸른<NA><NA><NA><NA><NA><NA>5
0<NA>세원<NA><NA><NA><NA><NA><NA>4