Overview

Dataset statistics

Number of variables7
Number of observations159
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory57.8 B

Variable types

Numeric1
Text2
Categorical4

Dataset

Description제주특별자치도 내에서 운행 중인 저상버스와 관련한 데이터로 노선, 차량번호, 차량종류, 버스회사 등 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15114410/fileData.do

Alerts

차량종류 has constant value ""Constant
저상차량유무 has constant value ""Constant
데이터기준일자 has constant value ""Constant
구분번호 is highly overall correlated with 버스회사High correlation
버스회사 is highly overall correlated with 구분번호High correlation
구분번호 has unique valuesUnique
차량번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:37:05.099136
Analysis finished2023-12-12 17:37:05.610023
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean589.24528
Minimum105
Maximum869
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T02:37:05.695843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum105
5-th percentile131.8
Q1401.5
median690
Q3828.5
95-th percentile861.1
Maximum869
Range764
Interquartile range (IQR)427

Descriptive statistics

Standard deviation257.67865
Coefficient of variation (CV)0.43730287
Kurtosis-1.131693
Mean589.24528
Median Absolute Deviation (MAD)165
Skewness-0.55911271
Sum93690
Variance66398.288
MonotonicityStrictly increasing
2023-12-13T02:37:05.865613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105 1
 
0.6%
110 1
 
0.6%
802 1
 
0.6%
803 1
 
0.6%
804 1
 
0.6%
807 1
 
0.6%
809 1
 
0.6%
811 1
 
0.6%
813 1
 
0.6%
815 1
 
0.6%
Other values (149) 149
93.7%
ValueCountFrequency (%)
105 1
0.6%
110 1
0.6%
112 1
0.6%
114 1
0.6%
115 1
0.6%
125 1
0.6%
129 1
0.6%
130 1
0.6%
132 1
0.6%
135 1
0.6%
ValueCountFrequency (%)
869 1
0.6%
868 1
0.6%
867 1
0.6%
866 1
0.6%
865 1
0.6%
864 1
0.6%
863 1
0.6%
862 1
0.6%
861 1
0.6%
860 1
0.6%

노선
Text

Distinct73
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T02:37:06.137500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.0566038
Min length4

Characters and Unicode

Total characters804
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

Unique35 ?
Unique (%)22.0%

Sample

1st row291-2
2nd row316-1
3rd row316-1
4th row291-2
5th row315-1
ValueCountFrequency (%)
510-1 8
 
5.0%
510-2 8
 
5.0%
415-1 6
 
3.8%
415-2 5
 
3.1%
325-12 5
 
3.1%
341-2 5
 
3.1%
316-2 5
 
3.1%
315-1 5
 
3.1%
520-2 4
 
2.5%
300-1 3
 
1.9%
Other values (63) 105
66.0%
2023-12-13T02:37:06.620235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 159
19.8%
1 158
19.7%
2 114
14.2%
3 98
12.2%
5 90
11.2%
4 63
 
7.8%
0 53
 
6.6%
6 33
 
4.1%
8 15
 
1.9%
9 11
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 645
80.2%
Dash Punctuation 159
 
19.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 158
24.5%
2 114
17.7%
3 98
15.2%
5 90
14.0%
4 63
 
9.8%
0 53
 
8.2%
6 33
 
5.1%
8 15
 
2.3%
9 11
 
1.7%
7 10
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 159
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 804
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 159
19.8%
1 158
19.7%
2 114
14.2%
3 98
12.2%
5 90
11.2%
4 63
 
7.8%
0 53
 
6.6%
6 33
 
4.1%
8 15
 
1.9%
9 11
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 159
19.8%
1 158
19.7%
2 114
14.2%
3 98
12.2%
5 90
11.2%
4 63
 
7.8%
0 53
 
6.6%
6 33
 
4.1%
8 15
 
1.9%
9 11
 
1.4%

차량번호
Text

UNIQUE 

Distinct159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T02:37:06.935217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters1431
Distinct characters14
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

Unique159 ?
Unique (%)100.0%

Sample

1st row제주79아3101
2nd row제주79아3106
3rd row제주79아3108
4th row제주79아3110
5th row제주79아3111
ValueCountFrequency (%)
제주79아3101 1
 
0.6%
제주79자7106 1
 
0.6%
제주79자7502 1
 
0.6%
제주79자7503 1
 
0.6%
제주79자7504 1
 
0.6%
제주79자7507 1
 
0.6%
제주79자7509 1
 
0.6%
제주79자7511 1
 
0.6%
제주79자7513 1
 
0.6%
제주79자7501 1
 
0.6%
Other values (149) 149
93.7%
2023-12-13T02:37:07.438218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 259
18.1%
9 172
12.0%
제 159
11.1%
주 159
11.1%
5 112
7.8%
3 107
7.5%
자 94
 
6.6%
6 75
 
5.2%
1 66
 
4.6%
아 65
 
4.5%
Other values (4) 163
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 954
66.7%
Other Letter 477
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 259
27.1%
9 172
18.0%
5 112
11.7%
3 107
11.2%
6 75
 
7.9%
1 66
 
6.9%
0 62
 
6.5%
4 44
 
4.6%
2 37
 
3.9%
8 20
 
2.1%
Other Letter
ValueCountFrequency (%)
제 159
33.3%
주 159
33.3%
자 94
19.7%
아 65
13.6%

Most occurring scripts

ValueCountFrequency (%)
Common 954
66.7%
Hangul 477
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
7 259
27.1%
9 172
18.0%
5 112
11.7%
3 107
11.2%
6 75
 
7.9%
1 66
 
6.9%
0 62
 
6.5%
4 44
 
4.6%
2 37
 
3.9%
8 20
 
2.1%
Hangul
ValueCountFrequency (%)
제 159
33.3%
주 159
33.3%
자 94
19.7%
아 65
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 954
66.7%
Hangul 477
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 259
27.1%
9 172
18.0%
5 112
11.7%
3 107
11.2%
6 75
 
7.9%
1 66
 
6.9%
0 62
 
6.5%
4 44
 
4.6%
2 37
 
3.9%
8 20
 
2.1%
Hangul
ValueCountFrequency (%)
제 159
33.3%
주 159
33.3%
자 94
19.7%
아 65
13.6%

차량종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
대형승합차
159 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대형승합차 159
100.0%

Length

2023-12-13T02:37:07.614798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:37:07.742708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대형승합차 159
100.0%

저상차량유무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
저상버스
159 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
저상버스 159
100.0%

Length

2023-12-13T02:37:07.877322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:37:07.997212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저상버스 159
100.0%

버스회사
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
서귀포운수(동서교통)
58 
삼영교통
27 
제주여객
23 
삼화여객
22 
극동여객
20 
Other values (2)
9 

Length

Max length11
Median length4
Mean length6.6100629
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서귀포운수(동서교통) 58
36.5%
삼영교통 27
17.0%
제주여객 23
 
14.5%
삼화여객 22
 
13.8%
극동여객 20
 
12.6%
서귀포공영 6
 
3.8%
제주시공영 3
 
1.9%

Length

2023-12-13T02:37:08.156888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:37:08.377604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서귀포운수(동서교통 58
36.5%
삼영교통 27
17.0%
제주여객 23
 
14.5%
삼화여객 22
 
13.8%
극동여객 20
 
12.6%
서귀포공영 6
 
3.8%
제주시공영 3
 
1.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-06-12
159 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-12
2nd row2023-06-12
3rd row2023-06-12
4th row2023-06-12
5th row2023-06-12

Common Values

ValueCountFrequency (%)
2023-06-12 159
100.0%

Length

2023-12-13T02:37:08.527787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:37:08.640376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-12 159
100.0%

Interactions

2023-12-13T02:37:05.270610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:37:08.721918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분번호노선버스회사
구분번호1.0000.9740.963
노선0.9741.0001.000
버스회사0.9631.0001.000
2023-12-13T02:37:08.848722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분번호버스회사
구분번호1.0000.905
버스회사0.9051.000

Missing values

2023-12-13T02:37:05.415234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:37:05.547527image/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

구분번호노선차량번호차량종류저상차량유무버스회사데이터기준일자
0105291-2제주79아3101대형승합차저상버스제주여객2023-06-12
1110316-1제주79아3106대형승합차저상버스제주여객2023-06-12
2112316-1제주79아3108대형승합차저상버스제주여객2023-06-12
3114291-2제주79아3110대형승합차저상버스제주여객2023-06-12
4115315-1제주79아3111대형승합차저상버스제주여객2023-06-12
5125315-1제주79아3121대형승합차저상버스제주여객2023-06-12
6129315-1제주79아3125대형승합차저상버스제주여객2023-06-12
7130316-2제주79아3126대형승합차저상버스제주여객2023-06-12
8132315-1제주79아3128대형승합차저상버스제주여객2023-06-12
9135316-2제주79아3131대형승합차저상버스제주여객2023-06-12
구분번호노선차량번호차량종류저상차량유무버스회사데이터기준일자
149860621-1제주79자7560대형승합차저상버스서귀포운수(동서교통)2023-06-12
150861520-2제주79자7561대형승합차저상버스서귀포운수(동서교통)2023-06-12
151862624-4제주79자7562대형승합차저상버스서귀포운수(동서교통)2023-06-12
152863531-1제주79자7563대형승합차저상버스서귀포운수(동서교통)2023-06-12
153864531-3제주79자7564대형승합차저상버스서귀포운수(동서교통)2023-06-12
154865630-1제주79자7565대형승합차저상버스서귀포운수(동서교통)2023-06-12
155866510-2제주79자7566대형승합차저상버스서귀포운수(동서교통)2023-06-12
156867532-2제주79자7567대형승합차저상버스서귀포운수(동서교통)2023-06-12
157868532-1제주79자7568대형승합차저상버스서귀포운수(동서교통)2023-06-12
158869510-1제주79자7569대형승합차저상버스서귀포운수(동서교통)2023-06-12