Overview

Dataset statistics

Number of variables22
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory192.1 B

Variable types

Text4
Categorical13
Numeric4
DateTime1

Dataset

Description부산광역시 강서구 마을버스 운행 정보 데이터를 제공합니다.(버스번호, 기점, 경유지, 종점, 운행대수, 배차간격)
Author부산광역시 강서구
URLhttps://www.data.go.kr/data/15006063/fileData.do

Alerts

일반(카드) has constant value ""Constant
일반(현금) has constant value ""Constant
청소년(카드) has constant value ""Constant
청소년(현금) has constant value ""Constant
어린이(카드) has constant value ""Constant
어린이(현금) has constant value ""Constant
구군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
노선번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 18:26:52.068028
Analysis finished2024-03-14 18:26:52.483932
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

노선번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-03-15T03:26:53.133755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.047619
Min length3

Characters and Unicode

Total characters85
Distinct characters12
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

Unique21 ?
Unique (%)100.0%

Sample

1st row강서21
2nd row강서11
3rd row강서12
4th row강서13
5th row강서14
ValueCountFrequency (%)
강서21 1
 
4.8%
강서1 1
 
4.8%
강서9-2 1
 
4.8%
강서9-1 1
 
4.8%
강서9 1
 
4.8%
강서7-2 1
 
4.8%
강서7 1
 
4.8%
강서5 1
 
4.8%
강서3 1
 
4.8%
강서2 1
 
4.8%
Other values (11) 11
52.4%
2024-03-15T03:26:54.370562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
강 21
24.7%
서 21
24.7%
1 15
17.6%
2 7
 
8.2%
- 5
 
5.9%
9 4
 
4.7%
5 3
 
3.5%
7 3
 
3.5%
3 2
 
2.4%
0 2
 
2.4%
Other values (2) 2
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42
49.4%
Decimal Number 38
44.7%
Dash Punctuation 5
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 15
39.5%
2 7
18.4%
9 4
 
10.5%
5 3
 
7.9%
7 3
 
7.9%
3 2
 
5.3%
0 2
 
5.3%
4 1
 
2.6%
6 1
 
2.6%
Other Letter
ValueCountFrequency (%)
강 21
50.0%
서 21
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43
50.6%
Hangul 42
49.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 15
34.9%
2 7
16.3%
- 5
 
11.6%
9 4
 
9.3%
5 3
 
7.0%
7 3
 
7.0%
3 2
 
4.7%
0 2
 
4.7%
4 1
 
2.3%
6 1
 
2.3%
Hangul
ValueCountFrequency (%)
강 21
50.0%
서 21
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43
50.6%
Hangul 42
49.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
강 21
50.0%
서 21
50.0%
ASCII
ValueCountFrequency (%)
1 15
34.9%
2 7
16.3%
- 5
 
11.6%
9 4
 
9.3%
5 3
 
7.0%
7 3
 
7.0%
3 2
 
4.7%
0 2
 
4.7%
4 1
 
2.3%
6 1
 
2.3%

업체명
Categorical

Distinct9
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size296.0 B
녹산버스
7 
㈜대일교통
3 
㈜대호교통
3 
㈜대저여객
2 
㈜강서교통
2 
Other values (4)
4 

Length

Max length10
Median length5
Mean length5.0952381
Min length4

Unique

Unique4 ?
Unique (%)19.0%

Sample

1st row녹산버스㈜대저여객
2nd row㈜대일교통
3rd row㈜강서교통㈜대저여객
4th row㈜대일교통
5th row㈜대저여객

Common Values

ValueCountFrequency (%)
녹산버스 7
33.3%
㈜대일교통 3
14.3%
㈜대호교통 3
14.3%
㈜대저여객 2
 
9.5%
㈜강서교통 2
 
9.5%
녹산버스㈜대저여객 1
 
4.8%
㈜강서교통㈜대저여객 1
 
4.8%
㈜신지교통 1
 
4.8%
㈜지사버스 1
 
4.8%

Length

2024-03-15T03:26:54.804598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:26:55.206093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
녹산버스 7
33.3%
㈜대일교통 3
14.3%
㈜대호교통 3
14.3%
㈜대저여객 2
 
9.5%
㈜강서교통 2
 
9.5%
녹산버스㈜대저여객 1
 
4.8%
㈜강서교통㈜대저여객 1
 
4.8%
㈜신지교통 1
 
4.8%
㈜지사버스 1
 
4.8%

기점
Text

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-03-15T03:26:55.890362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length4.7142857
Min length2

Characters and Unicode

Total characters99
Distinct characters49
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

Unique16 ?
Unique (%)76.2%

Sample

1st row신호주거단지
2nd row울만
3rd row부산과학산업단지
4th row덕천초교
5th row국회부산도서관
ValueCountFrequency (%)
강서구청역 3
 
14.3%
부산과학산업단지 2
 
9.5%
신호주거단지 1
 
4.8%
대항(정거 1
 
4.8%
신호부영2차 1
 
4.8%
용원 1
 
4.8%
신호초교 1
 
4.8%
둔치도 1
 
4.8%
평강하리 1
 
4.8%
덕두시장 1
 
4.8%
Other values (8) 8
38.1%
2024-03-15T03:26:56.848870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
강 5
 
5.1%
산 5
 
5.1%
서 5
 
5.1%
구 4
 
4.0%
청 4
 
4.0%
부 4
 
4.0%
( 3
 
3.0%
호 3
 
3.0%
신 3
 
3.0%
거 3
 
3.0%
Other values (39) 60
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92
92.9%
Open Punctuation 3
 
3.0%
Close Punctuation 3
 
3.0%
Decimal Number 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 5
 
5.4%
산 5
 
5.4%
서 5
 
5.4%
구 4
 
4.3%
청 4
 
4.3%
부 4
 
4.3%
호 3
 
3.3%
신 3
 
3.3%
거 3
 
3.3%
정 3
 
3.3%
Other values (36) 53
57.6%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92
92.9%
Common 7
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 5
 
5.4%
산 5
 
5.4%
서 5
 
5.4%
구 4
 
4.3%
청 4
 
4.3%
부 4
 
4.3%
호 3
 
3.3%
신 3
 
3.3%
거 3
 
3.3%
정 3
 
3.3%
Other values (36) 53
57.6%
Common
ValueCountFrequency (%)
( 3
42.9%
) 3
42.9%
2 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92
92.9%
ASCII 7
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
강 5
 
5.4%
산 5
 
5.4%
서 5
 
5.4%
구 4
 
4.3%
청 4
 
4.3%
부 4
 
4.3%
호 3
 
3.3%
신 3
 
3.3%
거 3
 
3.3%
정 3
 
3.3%
Other values (36) 53
57.6%
ASCII
ValueCountFrequency (%)
( 3
42.9%
) 3
42.9%
2 1
 
14.3%

경유
Text

Distinct17
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-03-15T03:26:57.438574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length5.4285714
Min length2

Characters and Unicode

Total characters114
Distinct characters56
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)66.7%

Sample

1st row명지국제신도시
2nd row김해국제공항
3rd row성산삼거리
4th row서부산유통단지
5th row경일고등학교
ValueCountFrequency (%)
성산삼거리 3
14.3%
명지오션시티 2
 
9.5%
강동동행정복지센터 2
 
9.5%
명지국제신도시 1
 
4.8%
대사리~중덕 1
 
4.8%
녹산산단 1
 
4.8%
화전산단 1
 
4.8%
대사리 1
 
4.8%
부산교도소 1
 
4.8%
김해국제공항 1
 
4.8%
Other values (7) 7
33.3%
2024-03-15T03:26:58.526980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 9
 
7.9%
지 7
 
6.1%
리 6
 
5.3%
동 4
 
3.5%
성 4
 
3.5%
거 3
 
2.6%
교 3
 
2.6%
명 3
 
2.6%
삼 3
 
2.6%
시 3
 
2.6%
Other values (46) 69
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 113
99.1%
Math Symbol 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 9
 
8.0%
지 7
 
6.2%
리 6
 
5.3%
동 4
 
3.5%
성 4
 
3.5%
거 3
 
2.7%
교 3
 
2.7%
명 3
 
2.7%
삼 3
 
2.7%
시 3
 
2.7%
Other values (45) 68
60.2%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113
99.1%
Common 1
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 9
 
8.0%
지 7
 
6.2%
리 6
 
5.3%
동 4
 
3.5%
성 4
 
3.5%
거 3
 
2.7%
교 3
 
2.7%
명 3
 
2.7%
삼 3
 
2.7%
시 3
 
2.7%
Other values (45) 68
60.2%
Common
ValueCountFrequency (%)
~ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 113
99.1%
ASCII 1
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 9
 
8.0%
지 7
 
6.2%
리 6
 
5.3%
동 4
 
3.5%
성 4
 
3.5%
거 3
 
2.7%
교 3
 
2.7%
명 3
 
2.7%
삼 3
 
2.7%
시 3
 
2.7%
Other values (45) 68
60.2%
ASCII
ValueCountFrequency (%)
~ 1
100.0%

종점
Categorical

Distinct7
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size296.0 B
하단역
13 
구포시장
3 
중곡
 
1
모라주공
 
1
선창
 
1
Other values (2)
2 

Length

Max length4
Median length3
Mean length3.047619
Min length2

Unique

Unique5 ?
Unique (%)23.8%

Sample

1st row하단역
2nd row구포시장
3rd row하단역
4th row하단역
5th row하단역

Common Values

ValueCountFrequency (%)
하단역 13
61.9%
구포시장 3
 
14.3%
중곡 1
 
4.8%
모라주공 1
 
4.8%
선창 1
 
4.8%
용원 1
 
4.8%
부원역 1
 
4.8%

Length

2024-03-15T03:26:58.925786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:26:59.405289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하단역 13
61.9%
구포시장 3
 
14.3%
중곡 1
 
4.8%
모라주공 1
 
4.8%
선창 1
 
4.8%
용원 1
 
4.8%
부원역 1
 
4.8%

전화번호
Categorical

Distinct7
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size296.0 B
051-314-7002
8 
051-291-4429
3 
051-971-2896
3 
051-973-9830
3 
051-973-3389
2 
Other values (2)
2 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row051-314-7002
2nd row051-291-4429
3rd row051-971-2896
4th row051-291-4429
5th row051-973-3389

Common Values

ValueCountFrequency (%)
051-314-7002 8
38.1%
051-291-4429 3
 
14.3%
051-971-2896 3
 
14.3%
051-973-9830 3
 
14.3%
051-973-3389 2
 
9.5%
051-817-5557 1
 
4.8%
051-505-7337 1
 
4.8%

Length

2024-03-15T03:26:59.810180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:27:00.186281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
051-314-7002 8
38.1%
051-291-4429 3
 
14.3%
051-971-2896 3
 
14.3%
051-973-9830 3
 
14.3%
051-973-3389 2
 
9.5%
051-817-5557 1
 
4.8%
051-505-7337 1
 
4.8%

운행차량수
Real number (ℝ)

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7142857
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-15T03:27:00.540780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8746428
Coefficient of variation (CV)0.69065788
Kurtosis1.5758164
Mean2.7142857
Median Absolute Deviation (MAD)1
Skewness1.2644257
Sum57
Variance3.5142857
MonotonicityNot monotonic
2024-03-15T03:27:00.783012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 7
33.3%
2 5
23.8%
5 3
14.3%
3 3
14.3%
4 2
 
9.5%
8 1
 
4.8%
ValueCountFrequency (%)
1 7
33.3%
2 5
23.8%
3 3
14.3%
4 2
 
9.5%
5 3
14.3%
8 1
 
4.8%
ValueCountFrequency (%)
8 1
 
4.8%
5 3
14.3%
4 2
 
9.5%
3 3
14.3%
2 5
23.8%
1 7
33.3%

예비차량수
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size296.0 B
0
13 
1
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 13
61.9%
1 8
38.1%

Length

2024-03-15T03:27:01.094688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:27:01.305842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 13
61.9%
1 8
38.1%

운행거리
Real number (ℝ)

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.014286
Minimum17.2
Maximum64.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-15T03:27:01.480661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.2
5-th percentile18.7
Q131.1
median38
Q344
95-th percentile58
Maximum64.5
Range47.3
Interquartile range (IQR)12.9

Descriptive statistics

Standard deviation12.486244
Coefficient of variation (CV)0.32846188
Kurtosis-0.1071376
Mean38.014286
Median Absolute Deviation (MAD)6.9
Skewness0.24616422
Sum798.3
Variance155.90629
MonotonicityNot monotonic
2024-03-15T03:27:01.785420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
36.0 2
 
9.5%
31.1 1
 
4.8%
31.2 1
 
4.8%
42.6 1
 
4.8%
26.2 1
 
4.8%
42.5 1
 
4.8%
64.5 1
 
4.8%
38.0 1
 
4.8%
34.6 1
 
4.8%
48.0 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
17.2 1
4.8%
18.7 1
4.8%
20.0 1
4.8%
26.2 1
4.8%
29.0 1
4.8%
31.1 1
4.8%
31.2 1
4.8%
34.6 1
4.8%
36.0 2
9.5%
38.0 1
4.8%
ValueCountFrequency (%)
64.5 1
4.8%
58.0 1
4.8%
55.5 1
4.8%
48.0 1
4.8%
46.0 1
4.8%
44.0 1
4.8%
42.6 1
4.8%
42.5 1
4.8%
40.0 1
4.8%
39.2 1
4.8%

첫차
Categorical

Distinct10
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Memory size296.0 B
06:00:00
6 
06:10:00
3 
06:20:00
3 
06:30:00
2 
05:45:00
2 
Other values (5)
5 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique5 ?
Unique (%)23.8%

Sample

1st row06:10:00
2nd row05:50:00
3rd row06:00:00
4th row05:30:00
5th row06:00:00

Common Values

ValueCountFrequency (%)
06:00:00 6
28.6%
06:10:00 3
14.3%
06:20:00 3
14.3%
06:30:00 2
 
9.5%
05:45:00 2
 
9.5%
05:50:00 1
 
4.8%
05:30:00 1
 
4.8%
05:20:00 1
 
4.8%
05:40:00 1
 
4.8%
05:00:00 1
 
4.8%

Length

2024-03-15T03:27:02.057615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:27:02.323220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
06:00:00 6
28.6%
06:10:00 3
14.3%
06:20:00 3
14.3%
06:30:00 2
 
9.5%
05:45:00 2
 
9.5%
05:50:00 1
 
4.8%
05:30:00 1
 
4.8%
05:20:00 1
 
4.8%
05:40:00 1
 
4.8%
05:00:00 1
 
4.8%

막차
Date

Distinct11
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size296.0 B
Minimum2024-03-15 18:15:00
Maximum2024-03-15 22:10:00
2024-03-15T03:27:02.703502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:27:02.889555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

배차간격
Real number (ℝ)

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.333333
Minimum20
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-15T03:27:03.199898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q130
median55
Q380
95-th percentile140
Maximum150
Range130
Interquartile range (IQR)50

Descriptive statistics

Standard deviation40.845236
Coefficient of variation (CV)0.64492478
Kurtosis-0.30910385
Mean63.333333
Median Absolute Deviation (MAD)25
Skewness0.94605609
Sum1330
Variance1668.3333
MonotonicityNot monotonic
2024-03-15T03:27:03.465982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
30 3
14.3%
60 3
14.3%
25 2
9.5%
20 2
9.5%
120 2
9.5%
55 2
9.5%
50 2
9.5%
80 1
 
4.8%
40 1
 
4.8%
110 1
 
4.8%
Other values (2) 2
9.5%
ValueCountFrequency (%)
20 2
9.5%
25 2
9.5%
30 3
14.3%
40 1
 
4.8%
50 2
9.5%
55 2
9.5%
60 3
14.3%
80 1
 
4.8%
110 1
 
4.8%
120 2
9.5%
ValueCountFrequency (%)
150 1
 
4.8%
140 1
 
4.8%
120 2
9.5%
110 1
 
4.8%
80 1
 
4.8%
60 3
14.3%
55 2
9.5%
50 2
9.5%
40 1
 
4.8%
30 3
14.3%

배차간격(출근시간)
Real number (ℝ)

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.428571
Minimum20
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-03-15T03:27:03.699062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q130
median50
Q380
95-th percentile140
Maximum150
Range130
Interquartile range (IQR)50

Descriptive statistics

Standard deviation41.807381
Coefficient of variation (CV)0.68058528
Kurtosis-0.32855955
Mean61.428571
Median Absolute Deviation (MAD)25
Skewness0.98248716
Sum1290
Variance1747.8571
MonotonicityNot monotonic
2024-03-15T03:27:03.934809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20 3
14.3%
40 3
14.3%
30 2
9.5%
60 2
9.5%
120 2
9.5%
25 2
9.5%
55 2
9.5%
80 1
 
4.8%
110 1
 
4.8%
150 1
 
4.8%
Other values (2) 2
9.5%
ValueCountFrequency (%)
20 3
14.3%
25 2
9.5%
30 2
9.5%
40 3
14.3%
50 1
 
4.8%
55 2
9.5%
60 2
9.5%
80 1
 
4.8%
110 1
 
4.8%
120 2
9.5%
ValueCountFrequency (%)
150 1
 
4.8%
140 1
 
4.8%
120 2
9.5%
110 1
 
4.8%
80 1
 
4.8%
60 2
9.5%
55 2
9.5%
50 1
 
4.8%
40 3
14.3%
30 2
9.5%

배차간격(주말)
Text

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-03-15T03:27:04.470258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.1904762
Min length1

Characters and Unicode

Total characters46
Distinct characters9
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

Unique6 ?
Unique (%)28.6%

Sample

1st row40
2nd row120
3rd row30
4th row30
5th row80
ValueCountFrequency (%)
30 4
19.0%
120 3
14.3%
40 2
9.5%
80 2
9.5%
55 2
9.5%
50 2
9.5%
45 1
 
4.8%
110 1
 
4.8%
150 1
 
4.8%
35 1
 
4.8%
Other values (2) 2
9.5%
2024-03-15T03:27:05.318862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16
34.8%
5 9
19.6%
1 6
 
13.0%
3 5
 
10.9%
2 3
 
6.5%
4 3
 
6.5%
8 2
 
4.3%
6 1
 
2.2%
- 1
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 45
97.8%
Dash Punctuation 1
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16
35.6%
5 9
20.0%
1 6
 
13.3%
3 5
 
11.1%
2 3
 
6.7%
4 3
 
6.7%
8 2
 
4.4%
6 1
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16
34.8%
5 9
19.6%
1 6
 
13.0%
3 5
 
10.9%
2 3
 
6.5%
4 3
 
6.5%
8 2
 
4.3%
6 1
 
2.2%
- 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16
34.8%
5 9
19.6%
1 6
 
13.0%
3 5
 
10.9%
2 3
 
6.5%
4 3
 
6.5%
8 2
 
4.3%
6 1
 
2.2%
- 1
 
2.2%

일반(카드)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
1480
21 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1480
2nd row1480
3rd row1480
4th row1480
5th row1480

Common Values

ValueCountFrequency (%)
1480 21
100.0%

Length

2024-03-15T03:27:05.758024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:27:06.063323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1480 21
100.0%

일반(현금)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
1600
21 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1600
2nd row1600
3rd row1600
4th row1600
5th row1600

Common Values

ValueCountFrequency (%)
1600 21
100.0%

Length

2024-03-15T03:27:06.519331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:27:06.852144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1600 21
100.0%

청소년(카드)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
750
21 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row750
2nd row750
3rd row750
4th row750
5th row750

Common Values

ValueCountFrequency (%)
750 21
100.0%

Length

2024-03-15T03:27:07.159904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:27:07.420432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
750 21
100.0%

청소년(현금)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
900
21 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row900
2nd row900
3rd row900
4th row900
5th row900

Common Values

ValueCountFrequency (%)
900 21
100.0%

Length

2024-03-15T03:27:07.777675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:27:08.251280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
900 21
100.0%

어린이(카드)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
무료
21 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 21
100.0%

Length

2024-03-15T03:27:08.618107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:27:08.944322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 21
100.0%

어린이(현금)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
300
21 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row300
2nd row300
3rd row300
4th row300
5th row300

Common Values

ValueCountFrequency (%)
300 21
100.0%

Length

2024-03-15T03:27:09.315684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:27:09.639050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
300 21
100.0%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
부산광역시 강서구
21 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 강서구
2nd row부산광역시 강서구
3rd row부산광역시 강서구
4th row부산광역시 강서구
5th row부산광역시 강서구

Common Values

ValueCountFrequency (%)
부산광역시 강서구 21
100.0%

Length

2024-03-15T03:27:09.991665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:27:10.312234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 21
50.0%
강서구 21
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-02-21
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-21
2nd row2024-02-21
3rd row2024-02-21
4th row2024-02-21
5th row2024-02-21

Common Values

ValueCountFrequency (%)
2024-02-21 21
100.0%

Length

2024-03-15T03:27:10.647642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:27:10.964171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-21 21
100.0%

Sample

노선번호업체명기점경유종점전화번호운행차량수예비차량수운행거리첫차막차배차간격배차간격(출근시간)배차간격(주말)일반(카드)일반(현금)청소년(카드)청소년(현금)어린이(카드)어린이(현금)구군명데이터기준일자
0강서21녹산버스㈜대저여객신호주거단지명지국제신도시하단역051-314-70024031.106:10:0021:30:0030304014801600750900무료300부산광역시 강서구2024-02-21
1강서11㈜대일교통울만김해국제공항구포시장051-291-44292146.005:50:0022:05:00606012014801600750900무료300부산광역시 강서구2024-02-21
2강서12㈜강서교통㈜대저여객부산과학산업단지성산삼거리하단역051-971-28965155.506:00:0021:30:0025203014801600750900무료300부산광역시 강서구2024-02-21
3강서13㈜대일교통덕천초교서부산유통단지하단역051-291-44298158.005:30:0022:00:0020203014801600750900무료300부산광역시 강서구2024-02-21
4강서14㈜대저여객국회부산도서관경일고등학교하단역051-973-33891017.206:00:0021:30:0080808014801600750900무료300부산광역시 강서구2024-02-21
5강서15㈜대호교통강서구청역강동동행정복지센터하단역051-973-98303144.006:00:0021:00:0040404514801600750900무료300부산광역시 강서구2024-02-21
6강서15-1㈜대호교통강서구청역강동동행정복지센터중곡051-973-98301029.006:20:0020:50:0012012012014801600750900무료300부산광역시 강서구2024-02-21
7강서16녹산버스옥포(송정)성산삼거리하단역051-314-70021139.206:20:0020:20:0011011011014801600750900무료300부산광역시 강서구2024-02-21
8강서17녹산버스용원(정거)신호초등학교하단역051-314-70021040.006:30:0021:00:0015015015014801600750900무료300부산광역시 강서구2024-02-21
9강서19㈜대호교통강서구청구남역모라주공051-973-98303020.006:10:0022:10:0025253514801600750900무료300부산광역시 강서구2024-02-21
노선번호업체명기점경유종점전화번호운행차량수예비차량수운행거리첫차막차배차간격배차간격(출근시간)배차간격(주말)일반(카드)일반(현금)청소년(카드)청소년(현금)어린이(카드)어린이(현금)구군명데이터기준일자
11강서1㈜강서교통대항(정거)부산신항용원051-971-28962131.205:45:0018:15:0060606014801600750900무료300부산광역시 강서구2024-02-21
12강서2㈜신지교통강서구청역대사리~중덕부원역051-817-55571036.006:20:0021:30:0012012012014801600750900무료300부산광역시 강서구2024-02-21
13강서3㈜대일교통덕두시장스마트빌리지하단역051-291-44291048.006:30:0020:40:00140140-14801600750900무료300부산광역시 강서구2024-02-21
14강서5㈜대저여객평강하리부산교도소구포시장051-973-33894134.606:00:0022:00:0020203014801600750900무료300부산광역시 강서구2024-02-21
15강서7㈜강서교통둔치도성산삼거리하단역051-971-28962038.006:00:0020:50:0055555514801600750900무료300부산광역시 강서구2024-02-21
16강서7-2㈜지사버스부산과학산업단지대사리구포시장051-505-73373064.505:40:0021:00:0060408014801600750900무료300부산광역시 강서구2024-02-21
17강서9녹산버스신호초교화전산단하단역051-314-70022036.006:10:0021:20:0050505014801600750900무료300부산광역시 강서구2024-02-21
18강서9-1녹산버스용원녹산산단하단역051-314-70025142.505:00:0021:20:0030254014801600750900무료300부산광역시 강서구2024-02-21
19강서9-2녹산버스신호부영2차명지오션시티하단역051-314-70022026.206:00:0021:20:0050405014801600750900무료300부산광역시 강서구2024-02-21
20강서20녹산버스선창명지오션시티하단역051-314-70025042.605:45:0021:30:0030303014801600750900무료300부산광역시 강서구2024-02-21