Overview

Dataset statistics

Number of variables22
Number of observations163
Missing cells158
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.1 KiB
Average record size in memory182.8 B

Variable types

Numeric5
Categorical6
Text3
DateTime8

Dataset

Description화성시 관내 마을버스와 관련하여 운행업체 정보와, 기점/종점, 요일별 배차와 배차간격, 배차시간 등을 확인할 수 있는 데이터입니다.
Author경기도 화성시
URLhttps://www.data.go.kr/data/15076286/fileData.do

Alerts

관할관청 has constant value ""Constant
인가대수 has constant value ""Constant
관리기관 has constant value ""Constant
관리자 연락처 has constant value ""Constant
데이터기준일자 has constant value ""Constant
주말배차 has 25 (15.3%) missing valuesMissing
주중상행첫차 has 5 (3.1%) missing valuesMissing
주중상행막차 has 10 (6.1%) missing valuesMissing
주말상행첫차 has 25 (15.3%) missing valuesMissing
주말상행막차 has 25 (15.3%) missing valuesMissing
주중하행첫차 has 7 (4.3%) missing valuesMissing
주중하행막차 has 11 (6.7%) missing valuesMissing
주말하행첫차 has 25 (15.3%) missing valuesMissing
주말하행막차 has 25 (15.3%) missing valuesMissing
순번 has unique valuesUnique
출퇴근배차 has 39 (23.9%) zerosZeros
평일배차 has 39 (23.9%) zerosZeros
주말배차 has 26 (16.0%) zerosZeros

Reproduction

Analysis started2023-12-12 13:32:31.906491
Analysis finished2023-12-12 13:32:32.412103
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82
Minimum1
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T22:32:32.482431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.1
Q141.5
median82
Q3122.5
95-th percentile154.9
Maximum163
Range162
Interquartile range (IQR)81

Descriptive statistics

Standard deviation47.198164
Coefficient of variation (CV)0.57558736
Kurtosis-1.2
Mean82
Median Absolute Deviation (MAD)41
Skewness0
Sum13366
Variance2227.6667
MonotonicityStrictly increasing
2023-12-12T22:32:32.955358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
104 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
Other values (153) 153
93.9%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%

관할관청
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
화성시
163 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화성시 163
100.0%

Length

2023-12-12T22:32:33.101056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:32:33.211003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화성시 163
100.0%

운행업체
Categorical

Distinct12
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
화성-화성순환여객
38 
화성-향남교통
34 
화성-수성여객
22 
화성-제부마을
16 
화성-매봉여객
12 
Other values (7)
41 

Length

Max length9
Median length7
Mean length7.4662577
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화성-향남교통
2nd row화성-향남교통
3rd row화성-향남교통
4th row화성-향남교통
5th row화성-향남교통

Common Values

ValueCountFrequency (%)
화성-화성순환여객 38
23.3%
화성-향남교통 34
20.9%
화성-수성여객 22
13.5%
화성-제부마을 16
9.8%
화성-매봉여객 12
 
7.4%
화성-부광여객 11
 
6.7%
화성-산척여객 10
 
6.1%
화성-금오운수 5
 
3.1%
화성-명승교통 4
 
2.5%
용인-수성교통 4
 
2.5%
Other values (2) 7
 
4.3%

Length

2023-12-12T22:32:33.342922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성-화성순환여객 38
23.3%
화성-향남교통 34
20.9%
화성-수성여객 22
13.5%
화성-제부마을 16
9.8%
화성-매봉여객 12
 
7.4%
화성-부광여객 11
 
6.7%
화성-산척여객 10
 
6.1%
화성-금오운수 5
 
3.1%
화성-명승교통 4
 
2.5%
용인-수성교통 4
 
2.5%
Other values (2) 7
 
4.3%
Distinct160
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T22:32:33.791637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.5398773
Min length1

Characters and Unicode

Total characters903
Distinct characters85
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

Unique157 ?
Unique (%)96.3%

Sample

1st row10
2nd row44105
3rd row44106
4th row44107
5th row44108
ValueCountFrequency (%)
39 2
 
1.2%
5 2
 
1.2%
12 2
 
1.2%
공영4(삼존2.3리 1
 
0.6%
43985 1
 
0.6%
h8 1
 
0.6%
66a 1
 
0.6%
7 1
 
0.6%
50-8(송산 1
 
0.6%
50-8(신외 1
 
0.6%
Other values (150) 150
92.0%
2023-12-12T22:32:34.371963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 78
 
8.6%
4 77
 
8.5%
3 72
 
8.0%
2 63
 
7.0%
0 56
 
6.2%
) 55
 
6.1%
( 55
 
6.1%
8 37
 
4.1%
- 36
 
4.0%
5 33
 
3.7%
Other values (75) 341
37.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 490
54.3%
Other Letter 213
23.6%
Close Punctuation 55
 
6.1%
Open Punctuation 55
 
6.1%
Uppercase Letter 40
 
4.4%
Dash Punctuation 36
 
4.0%
Other Punctuation 14
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
21
 
9.9%
21
 
9.9%
10
 
4.7%
10
 
4.7%
9
 
4.2%
7
 
3.3%
7
 
3.3%
7
 
3.3%
6
 
2.8%
5
 
2.3%
Other values (57) 110
51.6%
Decimal Number
ValueCountFrequency (%)
1 78
15.9%
4 77
15.7%
3 72
14.7%
2 63
12.9%
0 56
11.4%
8 37
7.6%
5 33
6.7%
6 27
 
5.5%
9 26
 
5.3%
7 21
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
A 17
42.5%
H 16
40.0%
B 6
 
15.0%
C 1
 
2.5%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 650
72.0%
Hangul 213
 
23.6%
Latin 40
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
21
 
9.9%
21
 
9.9%
10
 
4.7%
10
 
4.7%
9
 
4.2%
7
 
3.3%
7
 
3.3%
7
 
3.3%
6
 
2.8%
5
 
2.3%
Other values (57) 110
51.6%
Common
ValueCountFrequency (%)
1 78
12.0%
4 77
11.8%
3 72
11.1%
2 63
9.7%
0 56
8.6%
) 55
8.5%
( 55
8.5%
8 37
5.7%
- 36
5.5%
5 33
 
5.1%
Other values (4) 88
13.5%
Latin
ValueCountFrequency (%)
A 17
42.5%
H 16
40.0%
B 6
 
15.0%
C 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 690
76.4%
Hangul 213
 
23.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 78
11.3%
4 77
11.2%
3 72
10.4%
2 63
9.1%
0 56
8.1%
) 55
8.0%
( 55
8.0%
8 37
 
5.4%
- 36
 
5.2%
5 33
 
4.8%
Other values (8) 128
18.6%
Hangul
ValueCountFrequency (%)
21
 
9.9%
21
 
9.9%
10
 
4.7%
10
 
4.7%
9
 
4.2%
7
 
3.3%
7
 
3.3%
7
 
3.3%
6
 
2.8%
5
 
2.3%
Other values (57) 110
51.6%

기점
Text

Distinct58
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T22:32:34.622342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length5.7239264
Min length3

Characters and Unicode

Total characters933
Distinct characters152
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

Unique33 ?
Unique (%)20.2%

Sample

1st row발안삼거리.바다마트
2nd row발안삼거리.바다마트
3rd row발안삼거리.바다마트
4th row발안삼거리.바다마트
5th row화성시보건소앞
ValueCountFrequency (%)
사강종점 38
23.3%
발안삼거리.바다마트 9
 
5.5%
병점역 8
 
4.9%
화성중고등학교 7
 
4.3%
신경대학 6
 
3.7%
바다마트 5
 
3.1%
농협하나로마트 5
 
3.1%
향남부영10.11단지 5
 
3.1%
수원과학대학 5
 
3.1%
화성시보건소앞 4
 
2.5%
Other values (48) 71
43.6%
2023-12-12T22:32:34.979993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
 
5.8%
42
 
4.5%
42
 
4.5%
41
 
4.4%
30
 
3.2%
25
 
2.7%
1 25
 
2.7%
23
 
2.5%
22
 
2.4%
21
 
2.3%
Other values (142) 608
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 864
92.6%
Decimal Number 38
 
4.1%
Other Punctuation 19
 
2.0%
Uppercase Letter 6
 
0.6%
Open Punctuation 3
 
0.3%
Close Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
54
 
6.2%
42
 
4.9%
42
 
4.9%
41
 
4.7%
30
 
3.5%
25
 
2.9%
23
 
2.7%
22
 
2.5%
21
 
2.4%
19
 
2.2%
Other values (131) 545
63.1%
Decimal Number
ValueCountFrequency (%)
1 25
65.8%
0 6
 
15.8%
6 3
 
7.9%
8 2
 
5.3%
2 2
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
H 2
33.3%
A 2
33.3%
L 2
33.3%
Other Punctuation
ValueCountFrequency (%)
. 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 864
92.6%
Common 63
 
6.8%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
54
 
6.2%
42
 
4.9%
42
 
4.9%
41
 
4.7%
30
 
3.5%
25
 
2.9%
23
 
2.7%
22
 
2.5%
21
 
2.4%
19
 
2.2%
Other values (131) 545
63.1%
Common
ValueCountFrequency (%)
1 25
39.7%
. 19
30.2%
0 6
 
9.5%
( 3
 
4.8%
) 3
 
4.8%
6 3
 
4.8%
8 2
 
3.2%
2 2
 
3.2%
Latin
ValueCountFrequency (%)
H 2
33.3%
A 2
33.3%
L 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 864
92.6%
ASCII 69
 
7.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
54
 
6.2%
42
 
4.9%
42
 
4.9%
41
 
4.7%
30
 
3.5%
25
 
2.9%
23
 
2.7%
22
 
2.5%
21
 
2.4%
19
 
2.2%
Other values (131) 545
63.1%
ASCII
ValueCountFrequency (%)
1 25
36.2%
. 19
27.5%
0 6
 
8.7%
( 3
 
4.3%
) 3
 
4.3%
6 3
 
4.3%
H 2
 
2.9%
8 2
 
2.9%
A 2
 
2.9%
2 2
 
2.9%

종점
Text

Distinct93
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T22:32:35.265768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length6.7300613
Min length2

Characters and Unicode

Total characters1097
Distinct characters195
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

Unique66 ?
Unique (%)40.5%

Sample

1st row기업은행
2nd row노하할인마트
3rd row기천3리종점
4th row나은병원
5th row비봉면행정복지센터
ValueCountFrequency (%)
병점역사거리 12
 
7.4%
대광아파트 8
 
4.9%
기업은행 7
 
4.3%
수원역환승센터(11승강장 6
 
3.7%
동탄역(동측 4
 
2.5%
동탄2차고지 4
 
2.5%
할인마트앞 4
 
2.5%
고정2리 4
 
2.5%
궁평유원지종점 4
 
2.5%
우남퍼스트빌3차아파트 3
 
1.8%
Other values (83) 107
65.6%
2023-12-12T22:32:35.768606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
4.5%
38
 
3.5%
34
 
3.1%
2 29
 
2.6%
27
 
2.5%
25
 
2.3%
1 24
 
2.2%
23
 
2.1%
23
 
2.1%
22
 
2.0%
Other values (185) 803
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 964
87.9%
Decimal Number 76
 
6.9%
Other Punctuation 21
 
1.9%
Close Punctuation 17
 
1.5%
Open Punctuation 17
 
1.5%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
49
 
5.1%
38
 
3.9%
34
 
3.5%
27
 
2.8%
25
 
2.6%
23
 
2.4%
23
 
2.4%
22
 
2.3%
19
 
2.0%
19
 
2.0%
Other values (174) 685
71.1%
Decimal Number
ValueCountFrequency (%)
2 29
38.2%
1 24
31.6%
3 12
15.8%
4 6
 
7.9%
8 4
 
5.3%
0 1
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 964
87.9%
Common 131
 
11.9%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
49
 
5.1%
38
 
3.9%
34
 
3.5%
27
 
2.8%
25
 
2.6%
23
 
2.4%
23
 
2.4%
22
 
2.3%
19
 
2.0%
19
 
2.0%
Other values (174) 685
71.1%
Common
ValueCountFrequency (%)
2 29
22.1%
1 24
18.3%
. 21
16.0%
) 17
13.0%
( 17
13.0%
3 12
9.2%
4 6
 
4.6%
8 4
 
3.1%
0 1
 
0.8%
Latin
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 964
87.9%
ASCII 133
 
12.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
49
 
5.1%
38
 
3.9%
34
 
3.5%
27
 
2.8%
25
 
2.6%
23
 
2.4%
23
 
2.4%
22
 
2.3%
19
 
2.0%
19
 
2.0%
Other values (174) 685
71.1%
ASCII
ValueCountFrequency (%)
2 29
21.8%
1 24
18.0%
. 21
15.8%
) 17
12.8%
( 17
12.8%
3 12
9.0%
4 6
 
4.5%
8 4
 
3.0%
H 1
 
0.8%
L 1
 
0.8%

인가거리
Real number (ℝ)

Distinct126
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.134969
Minimum4.7
Maximum71.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T22:32:35.997541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.7
5-th percentile8.7
Q115.7
median22.2
Q331.35
95-th percentile51.27
Maximum71.3
Range66.6
Interquartile range (IQR)15.65

Descriptive statistics

Standard deviation12.728497
Coefficient of variation (CV)0.50640591
Kurtosis1.1548551
Mean25.134969
Median Absolute Deviation (MAD)7.4
Skewness1.0701247
Sum4097
Variance162.01463
MonotonicityNot monotonic
2023-12-12T22:32:36.183058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.6 4
 
2.5%
16.8 4
 
2.5%
14.6 3
 
1.8%
14.2 3
 
1.8%
14.1 3
 
1.8%
22.6 3
 
1.8%
21.3 3
 
1.8%
19.5 3
 
1.8%
20.9 2
 
1.2%
28.7 2
 
1.2%
Other values (116) 133
81.6%
ValueCountFrequency (%)
4.7 1
0.6%
5.3 1
0.6%
5.9 1
0.6%
6.6 1
0.6%
7.2 1
0.6%
7.8 1
0.6%
8.3 2
1.2%
8.6 1
0.6%
9.6 1
0.6%
9.8 1
0.6%
ValueCountFrequency (%)
71.3 1
0.6%
66.6 1
0.6%
57.6 1
0.6%
57.3 1
0.6%
56.5 1
0.6%
55.9 1
0.6%
53.7 1
0.6%
53.3 1
0.6%
51.4 1
0.6%
50.1 1
0.6%

인가대수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
0
163 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 163
100.0%

Length

2023-12-12T22:32:36.365861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:32:36.480566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 163
100.0%

출퇴근배차
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.03681
Minimum0
Maximum700
Zeros39
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T22:32:36.579600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median30
Q380
95-th percentile239
Maximum700
Range700
Interquartile range (IQR)70

Descriptive statistics

Standard deviation103.34999
Coefficient of variation (CV)1.6139154
Kurtosis16.129996
Mean64.03681
Median Absolute Deviation (MAD)30
Skewness3.6270755
Sum10438
Variance10681.221
MonotonicityNot monotonic
2023-12-12T22:32:36.739350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 39
23.9%
20 13
 
8.0%
60 10
 
6.1%
120 9
 
5.5%
10 8
 
4.9%
40 7
 
4.3%
30 7
 
4.3%
90 7
 
4.3%
15 7
 
4.3%
50 6
 
3.7%
Other values (24) 50
30.7%
ValueCountFrequency (%)
0 39
23.9%
10 8
 
4.9%
11 2
 
1.2%
12 3
 
1.8%
15 7
 
4.3%
20 13
 
8.0%
25 6
 
3.7%
30 7
 
4.3%
35 4
 
2.5%
40 7
 
4.3%
ValueCountFrequency (%)
700 1
0.6%
625 1
0.6%
520 1
0.6%
420 1
0.6%
350 1
0.6%
330 1
0.6%
300 1
0.6%
250 1
0.6%
240 1
0.6%
230 2
1.2%

평일배차
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)30.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.533742
Minimum0
Maximum700
Zeros39
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T22:32:36.894934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median45
Q3125
95-th percentile373
Maximum700
Range700
Interquartile range (IQR)114

Descriptive statistics

Standard deviation132.1634
Coefficient of variation (CV)1.3550531
Kurtosis5.8001597
Mean97.533742
Median Absolute Deviation (MAD)45
Skewness2.2520464
Sum15898
Variance17467.164
MonotonicityNot monotonic
2023-12-12T22:32:37.064727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 39
23.9%
30 11
 
6.7%
120 11
 
6.7%
60 9
 
5.5%
20 8
 
4.9%
90 6
 
3.7%
40 5
 
3.1%
50 5
 
3.1%
150 5
 
3.1%
15 5
 
3.1%
Other values (39) 59
36.2%
ValueCountFrequency (%)
0 39
23.9%
10 1
 
0.6%
11 3
 
1.8%
13 2
 
1.2%
14 1
 
0.6%
15 5
 
3.1%
20 8
 
4.9%
25 3
 
1.8%
30 11
 
6.7%
35 2
 
1.2%
ValueCountFrequency (%)
700 1
0.6%
660 1
0.6%
625 1
0.6%
520 1
0.6%
470 1
0.6%
420 1
0.6%
415 2
1.2%
375 1
0.6%
355 1
0.6%
350 1
0.6%

주말배차
Real number (ℝ)

MISSING  ZEROS 

Distinct49
Distinct (%)35.5%
Missing25
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean115.51449
Minimum0
Maximum700
Zeros26
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T22:32:37.217802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median60
Q3150
95-th percentile415
Maximum700
Range700
Interquartile range (IQR)130

Descriptive statistics

Standard deviation139.53218
Coefficient of variation (CV)1.2079193
Kurtosis4.3466212
Mean115.51449
Median Absolute Deviation (MAD)60
Skewness1.9861043
Sum15941
Variance19469.23
MonotonicityNot monotonic
2023-12-12T22:32:37.353316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 26
16.0%
60 12
 
7.4%
120 11
 
6.7%
40 7
 
4.3%
150 6
 
3.7%
20 5
 
3.1%
50 5
 
3.1%
240 4
 
2.5%
80 4
 
2.5%
130 4
 
2.5%
Other values (39) 54
33.1%
(Missing) 25
15.3%
ValueCountFrequency (%)
0 26
16.0%
10 1
 
0.6%
13 2
 
1.2%
15 2
 
1.2%
17 1
 
0.6%
18 1
 
0.6%
20 5
 
3.1%
25 4
 
2.5%
30 2
 
1.2%
35 2
 
1.2%
ValueCountFrequency (%)
700 1
0.6%
660 1
0.6%
625 1
0.6%
520 1
0.6%
470 1
0.6%
420 1
0.6%
415 2
1.2%
375 1
0.6%
360 1
0.6%
355 1
0.6%

주중상행첫차
Date

MISSING 

Distinct61
Distinct (%)38.6%
Missing5
Missing (%)3.1%
Memory size1.4 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 23:10:00
2023-12-12T22:32:37.522153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:32:37.687829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주중상행막차
Date

MISSING 

Distinct80
Distinct (%)52.3%
Missing10
Missing (%)6.1%
Memory size1.4 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 23:50:00
2023-12-12T22:32:37.855126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:32:38.019688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주말상행첫차
Date

MISSING 

Distinct60
Distinct (%)43.5%
Missing25
Missing (%)15.3%
Memory size1.4 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 23:20:00
2023-12-12T22:32:38.167295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:32:38.318624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주말상행막차
Date

MISSING 

Distinct75
Distinct (%)54.3%
Missing25
Missing (%)15.3%
Memory size1.4 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 23:50:00
2023-12-12T22:32:38.474602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:32:38.608094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주중하행첫차
Date

MISSING 

Distinct75
Distinct (%)48.1%
Missing7
Missing (%)4.3%
Memory size1.4 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 23:40:00
2023-12-12T22:32:38.766768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:32:38.939540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주중하행막차
Date

MISSING 

Distinct93
Distinct (%)61.2%
Missing11
Missing (%)6.7%
Memory size1.4 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 23:55:00
2023-12-12T22:32:39.075562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:32:39.232255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주말하행첫차
Date

MISSING 

Distinct73
Distinct (%)52.9%
Missing25
Missing (%)15.3%
Memory size1.4 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 23:55:00
2023-12-12T22:32:39.653689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:32:39.792464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주말하행막차
Date

MISSING 

Distinct85
Distinct (%)61.6%
Missing25
Missing (%)15.3%
Memory size1.4 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 23:50:00
2023-12-12T22:32:39.919105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:32:40.057551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
화성시 버스혁신과
163 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화성시 버스혁신과
2nd row화성시 버스혁신과
3rd row화성시 버스혁신과
4th row화성시 버스혁신과
5th row화성시 버스혁신과

Common Values

ValueCountFrequency (%)
화성시 버스혁신과 163
100.0%

Length

2023-12-12T22:32:40.177659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:32:40.276999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화성시 163
50.0%
버스혁신과 163
50.0%

관리자 연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
031-5189-2876
163 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-5189-2876
2nd row031-5189-2876
3rd row031-5189-2876
4th row031-5189-2876
5th row031-5189-2876

Common Values

ValueCountFrequency (%)
031-5189-2876 163
100.0%

Length

2023-12-12T22:32:40.394053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:32:40.516319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-5189-2876 163
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2020-03-23
163 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-03-23
2nd row2020-03-23
3rd row2020-03-23
4th row2020-03-23
5th row2020-03-23

Common Values

ValueCountFrequency (%)
2020-03-23 163
100.0%

Length

2023-12-12T22:32:40.646352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:32:40.775076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-03-23 163
100.0%

Sample

순번관할관청운행업체노선번호기점종점인가거리인가대수출퇴근배차평일배차주말배차주중상행첫차주중상행막차주말상행첫차주말상행막차주중하행첫차주중하행막차주말하행첫차주말하행막차관리기관관리자 연락처데이터기준일자
01화성시화성-향남교통10발안삼거리.바다마트기업은행37.800009:4515:409:4515:4010:3516:4010:3516:40화성시 버스혁신과031-5189-28762020-03-23
12화성시화성-향남교통44105발안삼거리.바다마트노하할인마트22.70501201206:0021:306:0021:306:2521:506:2521:50화성시 버스혁신과031-5189-28762020-03-23
23화성시화성-향남교통44106발안삼거리.바다마트기천3리종점20.801201201207:4016:557:4016:558:0517:358:0517:35화성시 버스혁신과031-5189-28762020-03-23
34화성시화성-향남교통44107발안삼거리.바다마트나은병원22.10501201206:0021:106:0021:106:2521:306:2521:30화성시 버스혁신과031-5189-28762020-03-23
45화성시화성-향남교통44108화성시보건소앞비봉면행정복지센터28.800007:0017:307:0017:307:3518:107:3518:10화성시 버스혁신과031-5189-28762020-03-23
56화성시화성-향남교통44109발안삼거리.바다마트하저리마을회관21.100007:4518:307:4518:308:0519:008:0519:00화성시 버스혁신과031-5189-28762020-03-23
67화성시화성-향남교통44110화성시보건소앞상기리입구29.600006:0019:406:0019:406:3020:106:3020:10화성시 버스혁신과031-5189-28762020-03-23
78화성시화성-향남교통44111화성시보건소앞해병대사령부종점22.600008:1020:408:1020:408:4521:108:4521:10화성시 버스혁신과031-5189-28762020-03-23
89화성시화성-향남교통44112화성시보건소앞해병대사령부종점21.60701001006:2020:006:2020:006:5520:356:5520:35화성시 버스혁신과031-5189-28762020-03-23
910화성시화성-부광여객100파크자이2차파크자이2차10.402530307:0019:307:0019:307:3020:007:3020:00화성시 버스혁신과031-5189-28762020-03-23
순번관할관청운행업체노선번호기점종점인가거리인가대수출퇴근배차평일배차주말배차주중상행첫차주중상행막차주말상행첫차주말상행막차주중하행첫차주중하행막차주말하행첫차주말하행막차관리기관관리자 연락처데이터기준일자
153154화성시화성-화성순환여객공영3(장문지화1)사강종점지화1리.현대염전13.401203553557:0019:307:0019:307:2019:507:2019:50화성시 버스혁신과031-5189-28762020-03-23
154155화성시화성-화성순환여객공영3(지화2리)사강종점지화2리14.608020020012:5520:2012:5520:2013:1020:3513:1020:35화성시 버스혁신과031-5189-28762020-03-23
155156화성시화성-화성순환여객공영4(도말.고포)사강종점고포3리회관앞18.902304154159:0021:459:0021:459:2522:109:2522:10화성시 버스혁신과031-5189-28762020-03-23
156157화성시화성-화성순환여객공영4(돌내.형도)사강종점형도종점21.3033033033011:5017:2011:5017:2012:2017:5012:2017:50화성시 버스혁신과031-5189-28762020-03-23
157158화성시화성-화성순환여객공영4(돌내독지1)사강종점독지리교회14.2000010:0010:0010:0010:0010:1510:1510:1510:15화성시 버스혁신과031-5189-28762020-03-23
158159화성시화성-화성순환여객공영4(돌내독지2)사강종점독지리종점14.1000020:0020:0020:0020:0020:2020:2020:2020:20화성시 버스혁신과031-5189-28762020-03-23
159160화성시화성-화성순환여객공영4(마산.고포)사강종점고포3리회관앞19.5030066066010:5020:4510:5020:4511:1521:1011:1521:10화성시 버스혁신과031-5189-28762020-03-23
160161화성시화성-화성순환여객공영4(삼존2.3리)사강종점삼존3리6.6000016:5016:5016:5016:5017:0017:0017:0017:00화성시 버스혁신과031-5189-28762020-03-23
161162화성시화성-화성순환여객공영4(솔미.구렛)사강종점고포3리.구랫골16.803503503508:0014:508:0014:508:3015:108:3015:10화성시 버스혁신과031-5189-28762020-03-23
162163화성시화성-화성순환여객공영4(형도.고포)사강종점고포3리회관앞24.500006:456:456:456:457:357:357:357:35화성시 버스혁신과031-5189-28762020-03-23