Overview

Dataset statistics

Number of variables10
Number of observations47
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory82.8 B

Variable types

Categorical5
Text2
DateTime3

Dataset

Description파주시 마을버스 운영에 대한 데이터로서 마을버스 회사명, 노선번호, 준공영제여부, 노선유형, 기점정류소, 종점정류소, 기점첫차시간, 기점막차시간에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15083827/fileData.do

Alerts

준공영제여부 has constant value ""Constant
노선유형 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
회사명 is highly overall correlated with 기점정류소명High correlation
기점정류소명 is highly overall correlated with 회사명High correlation
노선번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:43:14.785271
Analysis finished2023-12-12 20:43:15.365047
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
한일운수
12 
기흥여객
8 
문산여객
8 
우리교통
7 
동원교통
3 
Other values (4)
9 

Length

Max length5
Median length4
Mean length4.0638298
Min length4

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
한일운수 12
25.5%
기흥여객 8
17.0%
문산여객 8
17.0%
우리교통 7
14.9%
동원교통 3
 
6.4%
명진교통 3
 
6.4%
신대운여객 3
 
6.4%
신일운수 2
 
4.3%
으뜸교통 1
 
2.1%

Length

2023-12-13T05:43:15.420424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:43:15.517643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한일운수 12
25.5%
기흥여객 8
17.0%
문산여객 8
17.0%
우리교통 7
14.9%
동원교통 3
 
6.4%
명진교통 3
 
6.4%
신대운여객 3
 
6.4%
신일운수 2
 
4.3%
으뜸교통 1
 
2.1%

노선번호
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T05:43:15.715520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length3.4468085
Min length2

Characters and Unicode

Total characters162
Distinct characters25
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row55
2nd row63
3rd row65
4th row065(봉고등교)
5th row065(봉고하교)
ValueCountFrequency (%)
55 1
 
2.1%
69 1
 
2.1%
59 1
 
2.1%
30 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
033-1 1
 
2.1%
080a 1
 
2.1%
080b 1
 
2.1%
81 1
 
2.1%
Other values (37) 37
78.7%
2023-12-13T05:43:16.049078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21
13.0%
5 17
10.5%
3 15
 
9.3%
6 15
 
9.3%
8 15
 
9.3%
1 13
 
8.0%
2 8
 
4.9%
9 6
 
3.7%
A 5
 
3.1%
B 5
 
3.1%
Other values (15) 42
25.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 116
71.6%
Other Letter 24
 
14.8%
Uppercase Letter 10
 
6.2%
Open Punctuation 4
 
2.5%
Close Punctuation 4
 
2.5%
Dash Punctuation 4
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21
18.1%
5 17
14.7%
3 15
12.9%
6 15
12.9%
8 15
12.9%
1 13
11.2%
2 8
 
6.9%
9 6
 
5.2%
4 3
 
2.6%
7 3
 
2.6%
Other Letter
ValueCountFrequency (%)
봉 4
16.7%
교 4
16.7%
행 2
8.3%
복 2
8.3%
하 2
8.3%
등 2
8.3%
임 2
8.3%
진 2
8.3%
고 2
8.3%
중 2
8.3%
Uppercase Letter
ValueCountFrequency (%)
A 5
50.0%
B 5
50.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 128
79.0%
Hangul 24
 
14.8%
Latin 10
 
6.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21
16.4%
5 17
13.3%
3 15
11.7%
6 15
11.7%
8 15
11.7%
1 13
10.2%
2 8
 
6.2%
9 6
 
4.7%
( 4
 
3.1%
) 4
 
3.1%
Other values (3) 10
7.8%
Hangul
ValueCountFrequency (%)
봉 4
16.7%
교 4
16.7%
행 2
8.3%
복 2
8.3%
하 2
8.3%
등 2
8.3%
임 2
8.3%
진 2
8.3%
고 2
8.3%
중 2
8.3%
Latin
ValueCountFrequency (%)
A 5
50.0%
B 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 138
85.2%
Hangul 24
 
14.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21
15.2%
5 17
12.3%
3 15
10.9%
6 15
10.9%
8 15
10.9%
1 13
9.4%
2 8
 
5.8%
9 6
 
4.3%
A 5
 
3.6%
B 5
 
3.6%
Other values (5) 18
13.0%
Hangul
ValueCountFrequency (%)
봉 4
16.7%
교 4
16.7%
행 2
8.3%
복 2
8.3%
하 2
8.3%
등 2
8.3%
임 2
8.3%
진 2
8.3%
고 2
8.3%
중 2
8.3%

준공영제여부
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
준공영제
47 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
준공영제 47
100.0%

Length

2023-12-13T05:43:16.172708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:43:16.251614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
준공영제 47
100.0%

노선유형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
마을버스
47 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
마을버스 47
100.0%

Length

2023-12-13T05:43:16.334129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:43:16.415462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
마을버스 47
100.0%

기점정류소명
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Memory size508.0 B
검산동차고지
7 
파주읍행정복지센터
5 
금촌차고지
4 
운정역
4 
적성전통시장
3 
Other values (18)
24 

Length

Max length11
Median length8
Mean length5.6595745
Min length3

Unique

Unique12 ?
Unique (%)25.5%

Sample

1st row검산동차고지
2nd row금촌로터리
3rd row검산동차고지
4th row검산동차고지
5th row검산동차고지

Common Values

ValueCountFrequency (%)
검산동차고지 7
14.9%
파주읍행정복지센터 5
 
10.6%
금촌차고지 4
 
8.5%
운정역 4
 
8.5%
적성전통시장 3
 
6.4%
비암2리 2
 
4.3%
장터고개+맥금동영업소 2
 
4.3%
문산역 2
 
4.3%
문산행정복지센터 2
 
4.3%
야당역 2
 
4.3%
Other values (13) 14
29.8%

Length

2023-12-13T05:43:16.517539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
검산동차고지 7
14.9%
파주읍행정복지센터 5
 
10.6%
금촌차고지 4
 
8.5%
운정역 4
 
8.5%
적성전통시장 3
 
6.4%
비암2리 2
 
4.3%
장터고개+맥금동영업소 2
 
4.3%
문산역 2
 
4.3%
문산행정복지센터 2
 
4.3%
야당역 2
 
4.3%
Other values (13) 14
29.8%

종점정류소명
Text

Distinct25
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T05:43:16.696697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length5.7021277
Min length3

Characters and Unicode

Total characters268
Distinct characters79
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

Unique15 ?
Unique (%)31.9%

Sample

1st row문산역
2nd row사단앞
3rd row검산동차고지
4th row검산동차고지
5th row검산동차고지
ValueCountFrequency (%)
검산동차고지 6
 
12.8%
파주읍행정복지센터 5
 
10.6%
금촌차고지 5
 
10.6%
문산역 3
 
6.4%
적성전통시장 3
 
6.4%
맥금동종점 2
 
4.3%
비암2리 2
 
4.3%
은석교사거리 2
 
4.3%
운정역 2
 
4.3%
문산행정복지센터 2
 
4.3%
Other values (15) 15
31.9%
2023-12-13T05:43:17.066946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 19
 
7.1%
고 13
 
4.9%
산 13
 
4.9%
차 11
 
4.1%
정 9
 
3.4%
동 9
 
3.4%
금 9
 
3.4%
터 9
 
3.4%
리 8
 
3.0%
문 7
 
2.6%
Other values (69) 161
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 261
97.4%
Decimal Number 4
 
1.5%
Math Symbol 3
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 19
 
7.3%
고 13
 
5.0%
산 13
 
5.0%
차 11
 
4.2%
정 9
 
3.4%
동 9
 
3.4%
금 9
 
3.4%
터 9
 
3.4%
리 8
 
3.1%
문 7
 
2.7%
Other values (66) 154
59.0%
Decimal Number
ValueCountFrequency (%)
2 3
75.0%
5 1
 
25.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 261
97.4%
Common 7
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 19
 
7.3%
고 13
 
5.0%
산 13
 
5.0%
차 11
 
4.2%
정 9
 
3.4%
동 9
 
3.4%
금 9
 
3.4%
터 9
 
3.4%
리 8
 
3.1%
문 7
 
2.7%
Other values (66) 154
59.0%
Common
ValueCountFrequency (%)
+ 3
42.9%
2 3
42.9%
5 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 261
97.4%
ASCII 7
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 19
 
7.3%
고 13
 
5.0%
산 13
 
5.0%
차 11
 
4.2%
정 9
 
3.4%
동 9
 
3.4%
금 9
 
3.4%
터 9
 
3.4%
리 8
 
3.1%
문 7
 
2.7%
Other values (66) 154
59.0%
ASCII
ValueCountFrequency (%)
+ 3
42.9%
2 3
42.9%
5 1
 
14.3%

기점첫차시간
Date

Distinct14
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2023-12-13 05:00:00
Maximum2023-12-13 16:41:00
2023-12-13T05:43:17.253195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:43:17.363505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

기점막차시간
Date

Distinct26
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2023-12-13 07:20:00
Maximum2023-12-13 23:40:00
2023-12-13T05:43:17.464698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:43:17.578111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
경기도 파주시청
47 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 파주시청
2nd row경기도 파주시청
3rd row경기도 파주시청
4th row경기도 파주시청
5th row경기도 파주시청

Common Values

ValueCountFrequency (%)
경기도 파주시청 47
100.0%

Length

2023-12-13T05:43:17.709873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:43:17.804159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 47
50.0%
파주시청 47
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2023-08-14 00:00:00
Maximum2023-08-14 00:00:00
2023-12-13T05:43:17.885698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:43:17.977814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T05:43:18.075586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회사명노선번호기점정류소명종점정류소명기점첫차시간기점막차시간
회사명1.0001.0000.9490.9520.8230.906
노선번호1.0001.0001.0001.0001.0001.000
기점정류소명0.9491.0001.0000.9940.0000.603
종점정류소명0.9521.0000.9941.0000.0000.797
기점첫차시간0.8231.0000.0000.0001.0000.975
기점막차시간0.9061.0000.6030.7970.9751.000
2023-12-13T05:43:18.189698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기점정류소명회사명
기점정류소명1.0000.608
회사명0.6081.000
2023-12-13T05:43:18.304360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회사명기점정류소명
회사명1.0000.608
기점정류소명0.6081.000

Missing values

2023-12-13T05:43:15.179734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:43:15.316194image/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

회사명노선번호준공영제여부노선유형기점정류소명종점정류소명기점첫차시간기점막차시간관리기관명데이터기준일자
0기흥여객55준공영제마을버스검산동차고지문산역5:2022:50경기도 파주시청2023-08-14
1기흥여객63준공영제마을버스금촌로터리사단앞5:3022:30경기도 파주시청2023-08-14
2기흥여객65준공영제마을버스검산동차고지검산동차고지5:2023:15경기도 파주시청2023-08-14
3기흥여객065(봉고등교)준공영제마을버스검산동차고지검산동차고지7:407:40경기도 파주시청2023-08-14
4기흥여객065(봉고하교)준공영제마을버스검산동차고지검산동차고지14:5214:52경기도 파주시청2023-08-14
5기흥여객065(봉중등교)준공영제마을버스검산동차고지검산동차고지7:207:20경기도 파주시청2023-08-14
6기흥여객065(봉중하교)준공영제마을버스검산동차고지검산동차고지16:4116:41경기도 파주시청2023-08-14
7기흥여객66준공영제마을버스검산동차고지검산동차고지5:3022:50경기도 파주시청2023-08-14
8동원교통61준공영제마을버스비암2리비암2리6:3021:00경기도 파주시청2023-08-14
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