Overview

Dataset statistics

Number of variables32
Number of observations171
Missing cells62
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.5 KiB
Average record size in memory266.7 B

Variable types

Categorical18
Text5
Numeric7
Boolean1
DateTime1

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author지방자치단체
URLhttps://www.data.go.kr/data/15028197/standard.do

Alerts

버스전용차로지정해제여부 is highly imbalanced (84.0%)Imbalance
도로노선번호 has 40 (23.4%) missing valuesMissing
차로수 has 22 (12.9%) missing valuesMissing

Reproduction

Analysis started2024-04-13 13:11:43.869871
Analysis finished2024-04-13 13:11:45.678336
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

Distinct11
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
대구광역시
42 
경기도
37 
부산광역시
34 
인천광역시
19 
대전광역시
16 
Other values (6)
23 

Length

Max length7
Median length5
Mean length4.6081871
Min length3

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 42
24.6%
경기도 37
21.6%
부산광역시 34
19.9%
인천광역시 19
11.1%
대전광역시 16
 
9.4%
광주광역시 11
 
6.4%
경상남도 4
 
2.3%
세종특별자치시 3
 
1.8%
제주특별자치도 3
 
1.8%
충청북도 1
 
0.6%

Length

2024-04-13T22:11:45.834281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 42
24.6%
경기도 37
21.6%
부산광역시 34
19.9%
인천광역시 19
11.1%
대전광역시 16
 
9.4%
광주광역시 11
 
6.4%
경상남도 4
 
2.3%
세종특별자치시 3
 
1.8%
제주특별자치도 3
 
1.8%
충청북도 1
 
0.6%

시군구명
Text

Distinct57
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-13T22:11:46.489894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length4.0175439
Min length2

Characters and Unicode

Total characters687
Distinct characters58
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 (%)9.4%

Sample

1st row부천시 오정구
2nd row하남시
3rd row하남시
4th row없음
5th row없음
ValueCountFrequency (%)
서구 23
 
11.7%
동구 15
 
7.7%
중구 13
 
6.6%
북구 13
 
6.6%
수성구 12
 
6.1%
남구 8
 
4.1%
달서구 6
 
3.1%
남구+수영구 6
 
3.1%
동래구 5
 
2.6%
부천시 5
 
2.6%
Other values (40) 90
45.9%
2024-04-13T22:11:47.373222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 182
26.5%
시 45
 
6.6%
서 37
 
5.4%
+ 34
 
4.9%
동 29
 
4.2%
남 25
 
3.6%
25
 
3.6%
성 22
 
3.2%
수 22
 
3.2%
, 20
 
2.9%
Other values (48) 246
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 608
88.5%
Math Symbol 34
 
4.9%
Space Separator 25
 
3.6%
Other Punctuation 20
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 182
29.9%
시 45
 
7.4%
서 37
 
6.1%
동 29
 
4.8%
남 25
 
4.1%
성 22
 
3.6%
수 22
 
3.6%
북 19
 
3.1%
중 18
 
3.0%
부 16
 
2.6%
Other values (45) 193
31.7%
Math Symbol
ValueCountFrequency (%)
+ 34
100.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 608
88.5%
Common 79
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 182
29.9%
시 45
 
7.4%
서 37
 
6.1%
동 29
 
4.8%
남 25
 
4.1%
성 22
 
3.6%
수 22
 
3.6%
북 19
 
3.1%
중 18
 
3.0%
부 16
 
2.6%
Other values (45) 193
31.7%
Common
ValueCountFrequency (%)
+ 34
43.0%
25
31.6%
, 20
25.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 608
88.5%
ASCII 79
 
11.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 182
29.9%
시 45
 
7.4%
서 37
 
6.1%
동 29
 
4.8%
남 25
 
4.1%
성 22
 
3.6%
수 22
 
3.6%
북 19
 
3.1%
중 18
 
3.0%
부 16
 
2.6%
Other values (45) 193
31.7%
ASCII
ValueCountFrequency (%)
+ 34
43.0%
25
31.6%
, 20
25.3%

도로종류
Categorical

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
시도
85 
특별시도
42 
일반국도
22 
지방도
21 
국가지원지방도
 
1

Length

Max length7
Median length4
Mean length2.9005848
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row시도
2nd row일반국도
3rd row시도
4th row일반국도
5th row시도

Common Values

ValueCountFrequency (%)
시도 85
49.7%
특별시도 42
24.6%
일반국도 22
 
12.9%
지방도 21
 
12.3%
국가지원지방도 1
 
0.6%

Length

2024-04-13T22:11:47.596421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T22:11:47.800376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시도 85
49.7%
특별시도 42
24.6%
일반국도 22
 
12.9%
지방도 21
 
12.3%
국가지원지방도 1
 
0.6%

도로노선번호
Text

MISSING 

Distinct54
Distinct (%)41.2%
Missing40
Missing (%)23.4%
Memory size1.5 KiB
2024-04-13T22:11:48.369905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length3.6564885
Min length1

Characters and Unicode

Total characters479
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)14.5%

Sample

1st row43번
2nd row1번
3rd row6호선
4th row11호선
5th row604번
ValueCountFrequency (%)
3 16
 
12.1%
20 6
 
4.5%
40 6
 
4.5%
광로2-1 6
 
4.5%
41 6
 
4.5%
61 4
 
3.0%
30 4
 
3.0%
대로2-5 4
 
3.0%
광로1-1 4
 
3.0%
3번 3
 
2.3%
Other values (45) 73
55.3%
2024-04-13T22:11:49.204366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 79
16.5%
로 52
10.9%
- 52
10.9%
2 51
10.6%
3 45
9.4%
4 36
7.5%
대 34
7.1%
0 24
 
5.0%
번 19
 
4.0%
광 17
 
3.5%
Other values (13) 70
14.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 278
58.0%
Other Letter 146
30.5%
Dash Punctuation 52
 
10.9%
Math Symbol 2
 
0.4%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 79
28.4%
2 51
18.3%
3 45
16.2%
4 36
12.9%
0 24
 
8.6%
7 12
 
4.3%
6 10
 
3.6%
5 8
 
2.9%
9 7
 
2.5%
8 6
 
2.2%
Other Letter
ValueCountFrequency (%)
로 52
35.6%
대 34
23.3%
번 19
 
13.0%
광 17
 
11.6%
호 10
 
6.8%
선 10
 
6.8%
없 1
 
0.7%
음 1
 
0.7%
소 1
 
0.7%
서 1
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 333
69.5%
Hangul 146
30.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 79
23.7%
- 52
15.6%
2 51
15.3%
3 45
13.5%
4 36
10.8%
0 24
 
7.2%
7 12
 
3.6%
6 10
 
3.0%
5 8
 
2.4%
9 7
 
2.1%
Other values (3) 9
 
2.7%
Hangul
ValueCountFrequency (%)
로 52
35.6%
대 34
23.3%
번 19
 
13.0%
광 17
 
11.6%
호 10
 
6.8%
선 10
 
6.8%
없 1
 
0.7%
음 1
 
0.7%
소 1
 
0.7%
서 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 333
69.5%
Hangul 146
30.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 79
23.7%
- 52
15.6%
2 51
15.3%
3 45
13.5%
4 36
10.8%
0 24
 
7.2%
7 12
 
3.6%
6 10
 
3.0%
5 8
 
2.4%
9 7
 
2.1%
Other values (3) 9
 
2.7%
Hangul
ValueCountFrequency (%)
로 52
35.6%
대 34
23.3%
번 19
 
13.0%
광 17
 
11.6%
호 10
 
6.8%
선 10
 
6.8%
없 1
 
0.7%
음 1
 
0.7%
소 1
 
0.7%
서 1
 
0.7%

도로노선명
Text

Distinct103
Distinct (%)60.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-13T22:11:50.129472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length4.1169591
Min length3

Characters and Unicode

Total characters704
Distinct characters141
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)37.4%

Sample

1st row봉오대로 (인천방향)
2nd row하남대로
3rd row대청로
4th row세종로
5th row구즉세종로
ValueCountFrequency (%)
중앙대로 7
 
4.0%
수영로 6
 
3.4%
달구벌대로 6
 
3.4%
중앙로 5
 
2.9%
가야대로 4
 
2.3%
낙동대로 4
 
2.3%
충렬대로 4
 
2.3%
동대구로 4
 
2.3%
국채보상로 4
 
2.3%
해운대로 3
 
1.7%
Other values (93) 128
73.1%
2024-04-13T22:11:51.283980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 177
25.1%
대 86
 
12.2%
중 17
 
2.4%
구 17
 
2.4%
동 16
 
2.3%
앙 13
 
1.8%
수 13
 
1.8%
서 12
 
1.7%
달 10
 
1.4%
인 8
 
1.1%
Other values (131) 335
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 673
95.6%
Decimal Number 12
 
1.7%
Math Symbol 5
 
0.7%
Open Punctuation 4
 
0.6%
Close Punctuation 4
 
0.6%
Space Separator 4
 
0.6%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 177
26.3%
대 86
 
12.8%
중 17
 
2.5%
구 17
 
2.5%
동 16
 
2.4%
앙 13
 
1.9%
수 13
 
1.9%
서 12
 
1.8%
달 10
 
1.5%
인 8
 
1.2%
Other values (120) 304
45.2%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
5 3
25.0%
3 2
16.7%
9 1
 
8.3%
8 1
 
8.3%
0 1
 
8.3%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 673
95.6%
Common 31
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 177
26.3%
대 86
 
12.8%
중 17
 
2.5%
구 17
 
2.5%
동 16
 
2.4%
앙 13
 
1.9%
수 13
 
1.9%
서 12
 
1.8%
달 10
 
1.5%
인 8
 
1.2%
Other values (120) 304
45.2%
Common
ValueCountFrequency (%)
+ 5
16.1%
( 4
12.9%
) 4
12.9%
1 4
12.9%
4
12.9%
5 3
9.7%
. 2
 
6.5%
3 2
 
6.5%
9 1
 
3.2%
8 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 673
95.6%
ASCII 31
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 177
26.3%
대 86
 
12.8%
중 17
 
2.5%
구 17
 
2.5%
동 16
 
2.4%
앙 13
 
1.9%
수 13
 
1.9%
서 12
 
1.8%
달 10
 
1.5%
인 8
 
1.2%
Other values (120) 304
45.2%
ASCII
ValueCountFrequency (%)
+ 5
16.1%
( 4
12.9%
) 4
12.9%
1 4
12.9%
4
12.9%
5 3
9.7%
. 2
 
6.5%
3 2
 
6.5%
9 1
 
3.2%
8 1
 
3.2%

차로수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)6.7%
Missing22
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean5.4228188
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-13T22:11:51.491342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q36
95-th percentile8.6
Maximum12
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1846554
Coefficient of variation (CV)0.40286343
Kurtosis0.075849251
Mean5.4228188
Median Absolute Deviation (MAD)2
Skewness0.056322051
Sum808
Variance4.772719
MonotonicityNot monotonic
2024-04-13T22:11:51.679868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
6 57
33.3%
8 22
 
12.9%
3 21
 
12.3%
4 17
 
9.9%
5 13
 
7.6%
1 9
 
5.3%
10 6
 
3.5%
2 2
 
1.2%
12 1
 
0.6%
9 1
 
0.6%
(Missing) 22
 
12.9%
ValueCountFrequency (%)
1 9
 
5.3%
2 2
 
1.2%
3 21
 
12.3%
4 17
 
9.9%
5 13
 
7.6%
6 57
33.3%
8 22
 
12.9%
9 1
 
0.6%
10 6
 
3.5%
12 1
 
0.6%
ValueCountFrequency (%)
12 1
 
0.6%
10 6
 
3.5%
9 1
 
0.6%
8 22
 
12.9%
6 57
33.3%
5 13
 
7.6%
4 17
 
9.9%
3 21
 
12.3%
2 2
 
1.2%
1 9
 
5.3%

버스전용차로기점명
Text

Distinct146
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-13T22:11:52.571927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.3684211
Min length3

Characters and Unicode

Total characters918
Distinct characters180
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

Unique124 ?
Unique (%)72.5%

Sample

1st row고강지하차도
2nd row황산사거리
3rd row시청사거리
4th row해들교차로
5th row소담교차로
ValueCountFrequency (%)
서대전네거리 3
 
1.7%
mbc네거리 3
 
1.7%
성당네거리 3
 
1.7%
만촌네거리 2
 
1.2%
원대오거리 2
 
1.2%
미남교차로 2
 
1.2%
반고개네거리 2
 
1.2%
수영교차로 2
 
1.2%
영대병원네거리 2
 
1.2%
입석네거리 2
 
1.2%
Other values (138) 150
86.7%
2024-04-13T22:11:53.715878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 83
 
9.0%
거 77
 
8.4%
네 41
 
4.5%
교 36
 
3.9%
로 28
 
3.1%
차 25
 
2.7%
사 24
 
2.6%
동 24
 
2.6%
서 18
 
2.0%
역 18
 
2.0%
Other values (170) 544
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 864
94.1%
Uppercase Letter 24
 
2.6%
Decimal Number 15
 
1.6%
Close Punctuation 6
 
0.7%
Open Punctuation 6
 
0.7%
Space Separator 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 83
 
9.6%
거 77
 
8.9%
네 41
 
4.7%
교 36
 
4.2%
로 28
 
3.2%
차 25
 
2.9%
사 24
 
2.8%
동 24
 
2.8%
서 18
 
2.1%
역 18
 
2.1%
Other values (150) 490
56.7%
Uppercase Letter
ValueCountFrequency (%)
B 5
20.8%
C 5
20.8%
M 3
12.5%
I 2
 
8.3%
T 2
 
8.3%
S 2
 
8.3%
K 2
 
8.3%
P 1
 
4.2%
A 1
 
4.2%
G 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
4 8
53.3%
1 2
 
13.3%
5 2
 
13.3%
7 1
 
6.7%
2 1
 
6.7%
3 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 864
94.1%
Common 30
 
3.3%
Latin 24
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 83
 
9.6%
거 77
 
8.9%
네 41
 
4.7%
교 36
 
4.2%
로 28
 
3.2%
차 25
 
2.9%
사 24
 
2.8%
동 24
 
2.8%
서 18
 
2.1%
역 18
 
2.1%
Other values (150) 490
56.7%
Common
ValueCountFrequency (%)
4 8
26.7%
) 6
20.0%
( 6
20.0%
1 2
 
6.7%
5 2
 
6.7%
2
 
6.7%
- 1
 
3.3%
7 1
 
3.3%
2 1
 
3.3%
3 1
 
3.3%
Latin
ValueCountFrequency (%)
B 5
20.8%
C 5
20.8%
M 3
12.5%
I 2
 
8.3%
T 2
 
8.3%
S 2
 
8.3%
K 2
 
8.3%
P 1
 
4.2%
A 1
 
4.2%
G 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 864
94.1%
ASCII 54
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 83
 
9.6%
거 77
 
8.9%
네 41
 
4.7%
교 36
 
4.2%
로 28
 
3.2%
차 25
 
2.9%
사 24
 
2.8%
동 24
 
2.8%
서 18
 
2.1%
역 18
 
2.1%
Other values (150) 490
56.7%
ASCII
ValueCountFrequency (%)
4 8
14.8%
) 6
11.1%
( 6
11.1%
B 5
 
9.3%
C 5
 
9.3%
M 3
 
5.6%
I 2
 
3.7%
1 2
 
3.7%
5 2
 
3.7%
T 2
 
3.7%
Other values (10) 13
24.1%

버스전용차로종점명
Text

Distinct151
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-13T22:11:54.776939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.5204678
Min length3

Characters and Unicode

Total characters944
Distinct characters189
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

Unique134 ?
Unique (%)78.4%

Sample

1st row굴포천
2nd row시청사거리
3rd row창우지하차도교차로
4th row남세종IC 교차로
5th row둔곡터널입구
ValueCountFrequency (%)
성당네거리 3
 
1.7%
mbc네거리 3
 
1.7%
내성교차로 3
 
1.7%
kbs삼거리 2
 
1.1%
남동경찰서4 2
 
1.1%
도계광장 2
 
1.1%
입석네거리 2
 
1.1%
반고개네거리 2
 
1.1%
동의대어귀사거리 2
 
1.1%
굴포천 2
 
1.1%
Other values (145) 152
86.9%
2024-04-13T22:11:56.130853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 87
 
9.2%
거 84
 
8.9%
네 41
 
4.3%
교 33
 
3.5%
동 28
 
3.0%
로 26
 
2.8%
대 25
 
2.6%
사 21
 
2.2%
삼 20
 
2.1%
차 20
 
2.1%
Other values (179) 559
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 873
92.5%
Uppercase Letter 29
 
3.1%
Decimal Number 21
 
2.2%
Open Punctuation 8
 
0.8%
Close Punctuation 8
 
0.8%
Space Separator 4
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 87
 
10.0%
거 84
 
9.6%
네 41
 
4.7%
교 33
 
3.8%
동 28
 
3.2%
로 26
 
3.0%
대 25
 
2.9%
사 21
 
2.4%
삼 20
 
2.3%
차 20
 
2.3%
Other values (162) 488
55.9%
Decimal Number
ValueCountFrequency (%)
4 7
33.3%
3 5
23.8%
7 3
14.3%
1 2
 
9.5%
2 2
 
9.5%
5 1
 
4.8%
0 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
C 10
34.5%
I 7
24.1%
B 5
17.2%
M 3
 
10.3%
S 2
 
6.9%
K 2
 
6.9%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 873
92.5%
Common 42
 
4.4%
Latin 29
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 87
 
10.0%
거 84
 
9.6%
네 41
 
4.7%
교 33
 
3.8%
동 28
 
3.2%
로 26
 
3.0%
대 25
 
2.9%
사 21
 
2.4%
삼 20
 
2.3%
차 20
 
2.3%
Other values (162) 488
55.9%
Common
ValueCountFrequency (%)
( 8
19.0%
) 8
19.0%
4 7
16.7%
3 5
11.9%
4
9.5%
7 3
 
7.1%
1 2
 
4.8%
2 2
 
4.8%
, 1
 
2.4%
5 1
 
2.4%
Latin
ValueCountFrequency (%)
C 10
34.5%
I 7
24.1%
B 5
17.2%
M 3
 
10.3%
S 2
 
6.9%
K 2
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 873
92.5%
ASCII 71
 
7.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 87
 
10.0%
거 84
 
9.6%
네 41
 
4.7%
교 33
 
3.8%
동 28
 
3.2%
로 26
 
3.0%
대 25
 
2.9%
사 21
 
2.4%
삼 20
 
2.3%
차 20
 
2.3%
Other values (162) 488
55.9%
ASCII
ValueCountFrequency (%)
C 10
14.1%
( 8
11.3%
) 8
11.3%
4 7
9.9%
I 7
9.9%
B 5
7.0%
3 5
7.0%
4
 
5.6%
M 3
 
4.2%
7 3
 
4.2%
Other values (7) 11
15.5%

버스전용차로기점위도
Real number (ℝ)

Distinct154
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.204528
Minimum33.45995
Maximum37.724082
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-13T22:11:56.542842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.45995
5-th percentile35.110678
Q135.208852
median35.877533
Q337.4005
95-th percentile37.552417
Maximum37.724082
Range4.2641315
Interquartile range (IQR)2.1916475

Descriptive statistics

Standard deviation0.99557053
Coefficient of variation (CV)0.027498509
Kurtosis-0.79638922
Mean36.204528
Median Absolute Deviation (MAD)0.710011
Skewness-0.023040677
Sum6190.9742
Variance0.99116069
MonotonicityNot monotonic
2024-04-13T22:11:56.957938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.222875 3
 
1.8%
37.48956767 3
 
1.8%
36.32294319 3
 
1.8%
35.261553 2
 
1.2%
35.157495 2
 
1.2%
35.144047 2
 
1.2%
35.203663 2
 
1.2%
35.106184 2
 
1.2%
35.167522 2
 
1.2%
35.16466134 2
 
1.2%
Other values (144) 148
86.5%
ValueCountFrequency (%)
33.4599505 1
0.6%
33.5009231 1
0.6%
33.5054371 1
0.6%
35.097237 1
0.6%
35.098074 1
0.6%
35.105871 1
0.6%
35.106184 2
1.2%
35.106599 1
0.6%
35.114757 1
0.6%
35.12352368 1
0.6%
ValueCountFrequency (%)
37.724082 1
0.6%
37.6755957 1
0.6%
37.650263 1
0.6%
37.615687 1
0.6%
37.610991 1
0.6%
37.604145 1
0.6%
37.599791 1
0.6%
37.583072 1
0.6%
37.5551403 1
0.6%
37.5496939 1
0.6%

버스전용차로기점경도
Real number (ℝ)

Distinct154
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.84141
Minimum126.44468
Maximum129.35856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-13T22:11:57.351427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.44468
5-th percentile126.64976
Q1126.90455
median127.41557
Q3128.63958
95-th percentile129.10167
Maximum129.35856
Range2.9138857
Interquartile range (IQR)1.7350255

Descriptive statistics

Standard deviation0.94923309
Coefficient of variation (CV)0.007425083
Kurtosis-1.7410905
Mean127.84141
Median Absolute Deviation (MAD)0.7870191
Skewness0.074531798
Sum21860.881
Variance0.90104346
MonotonicityNot monotonic
2024-04-13T22:11:57.779259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.087466 3
 
1.8%
126.7233506 3
 
1.8%
127.414806 3
 
1.8%
128.630837 2
 
1.2%
129.051111 2
 
1.2%
129.109309 2
 
1.2%
128.994329 2
 
1.2%
128.968406 2
 
1.2%
129.115665 2
 
1.2%
126.9196653 2
 
1.2%
Other values (144) 148
86.5%
ValueCountFrequency (%)
126.4446753 1
0.6%
126.4957285 1
0.6%
126.5273237 1
0.6%
126.625411 1
0.6%
126.6285543 1
0.6%
126.6309706 1
0.6%
126.6318126 1
0.6%
126.6423324 1
0.6%
126.6483226 1
0.6%
126.6511924 1
0.6%
ValueCountFrequency (%)
129.358561 1
 
0.6%
129.147694 1
 
0.6%
129.138714 1
 
0.6%
129.124771 1
 
0.6%
129.115938 1
 
0.6%
129.115665 2
1.2%
129.109309 2
1.2%
129.094028 1
 
0.6%
129.087466 3
1.8%
129.083833 1
 
0.6%

버스전용차로종점위도
Real number (ℝ)

Distinct160
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.202221
Minimum33.47623
Maximum37.701244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-13T22:11:58.331107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.47623
5-th percentile35.10624
Q135.201209
median35.877642
Q337.4022
95-th percentile37.542808
Maximum37.701244
Range4.2250143
Interquartile range (IQR)2.2009905

Descriptive statistics

Standard deviation0.99984298
Coefficient of variation (CV)0.027618278
Kurtosis-0.82051004
Mean36.202221
Median Absolute Deviation (MAD)0.712466
Skewness-0.016206434
Sum6190.5798
Variance0.99968599
MonotonicityNot monotonic
2024-04-13T22:11:58.747739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.54280804 3
 
1.8%
35.098074 3
 
1.8%
37.52766564 3
 
1.8%
35.144047 2
 
1.2%
35.225757 2
 
1.2%
35.261553 2
 
1.2%
35.153987 2
 
1.2%
35.167522 2
 
1.2%
37.4684005 1
 
0.6%
37.457928 1
 
0.6%
Other values (150) 150
87.7%
ValueCountFrequency (%)
33.4762297 1
 
0.6%
33.4983361 1
 
0.6%
33.5113756 1
 
0.6%
35.097237 1
 
0.6%
35.098074 3
1.8%
35.099511 1
 
0.6%
35.106184 1
 
0.6%
35.106295 1
 
0.6%
35.110801 1
 
0.6%
35.11375917 1
 
0.6%
ValueCountFrequency (%)
37.701244 1
 
0.6%
37.675721 1
 
0.6%
37.652061 1
 
0.6%
37.650263 1
 
0.6%
37.612617 1
 
0.6%
37.600594 1
 
0.6%
37.583281 1
 
0.6%
37.564592 1
 
0.6%
37.54280804 3
1.8%
37.539151 1
 
0.6%

버스전용차로종점경도
Real number (ℝ)

Distinct160
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.84105
Minimum126.49637
Maximum129.35837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-13T22:11:59.138240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.49637
5-th percentile126.66372
Q1126.9139
median127.41557
Q3128.63084
95-th percentile129.10931
Maximum129.35837
Range2.8620056
Interquartile range (IQR)1.7169321

Descriptive statistics

Standard deviation0.94494297
Coefficient of variation (CV)0.007391546
Kurtosis-1.7438031
Mean127.84105
Median Absolute Deviation (MAD)0.7837608
Skewness0.081682972
Sum21860.819
Variance0.89291722
MonotonicityNot monotonic
2024-04-13T22:11:59.573228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7208844 3
 
1.8%
129.035417 3
 
1.8%
126.661164 3
 
1.8%
129.109309 2
 
1.2%
128.572906 2
 
1.2%
128.630837 2
 
1.2%
129.032231 2
 
1.2%
129.115665 2
 
1.2%
127.126375 1
 
0.6%
126.988751 1
 
0.6%
Other values (150) 150
87.7%
ValueCountFrequency (%)
126.4963664 1
 
0.6%
126.5416041 1
 
0.6%
126.5457024 1
 
0.6%
126.6260936 1
 
0.6%
126.6318126 1
 
0.6%
126.661164 3
1.8%
126.662117 1
 
0.6%
126.6653204 1
 
0.6%
126.6663585 1
 
0.6%
126.7034752 1
 
0.6%
ValueCountFrequency (%)
129.358372 1
0.6%
129.161636 1
0.6%
129.147694 1
0.6%
129.138714 1
0.6%
129.124771 1
0.6%
129.115938 1
0.6%
129.115665 2
1.2%
129.109309 2
1.2%
129.094028 1
0.6%
129.083833 1
0.6%

버스전용차로총연장
Real number (ℝ)

Distinct75
Distinct (%)43.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3508421
Minimum0.1
Maximum15.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-13T22:11:59.986074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.55
Q11.54
median2.9
Q34.2
95-th percentile8.1
Maximum15.6
Range15.5
Interquartile range (IQR)2.66

Descriptive statistics

Standard deviation2.6407759
Coefficient of variation (CV)0.78809321
Kurtosis4.9955709
Mean3.3508421
Median Absolute Deviation (MAD)1.32
Skewness1.9363351
Sum572.994
Variance6.9736975
MonotonicityNot monotonic
2024-04-13T22:12:00.440341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0 9
 
5.3%
2.0 8
 
4.7%
2.3 5
 
2.9%
1.4 5
 
2.9%
3.4 5
 
2.9%
4.0 5
 
2.9%
1.0 4
 
2.3%
3.3 4
 
2.3%
0.5 4
 
2.3%
2.7 4
 
2.3%
Other values (65) 118
69.0%
ValueCountFrequency (%)
0.1 1
 
0.6%
0.2 1
 
0.6%
0.4 2
1.2%
0.493 1
 
0.6%
0.5 4
2.3%
0.6 4
2.3%
0.7 3
1.8%
0.8 2
1.2%
0.9 2
1.2%
1.0 4
2.3%
ValueCountFrequency (%)
15.6 1
0.6%
13.8 1
0.6%
13.6 1
0.6%
11.8 1
0.6%
10.9 1
0.6%
10.4 1
0.6%
9.8 1
0.6%
9.5 1
0.6%
8.3 1
0.6%
7.9 1
0.6%

버스전용차로종류
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2
123 
1
45 
99
 
3

Length

Max length2
Median length1
Mean length1.0175439
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row99
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 123
71.9%
1 45
 
26.3%
99 3
 
1.8%

Length

2024-04-13T22:12:00.881559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T22:12:01.213828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 123
71.9%
1 45
 
26.3%
99 3
 
1.8%

버스전용차로지정해제여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size299.0 B
True
167 
False
 
4
ValueCountFrequency (%)
True 167
97.7%
False 4
 
2.3%
2024-04-13T22:12:01.514327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시행일자
Date

Distinct94
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1991-12-26 00:00:00
Maximum2023-05-26 00:00:00
2024-04-13T22:12:01.860221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T22:12:02.280753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

운영시간구분
Categorical

Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2
107 
1
46 
4
12 
<NA>
 
6

Length

Max length4
Median length1
Mean length1.1052632
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row4
3rd row4
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 107
62.6%
1 46
26.9%
4 12
 
7.0%
<NA> 6
 
3.5%

Length

2024-04-13T22:12:02.698344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T22:12:03.039147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 107
62.6%
1 46
26.9%
4 12
 
7.0%
na 6
 
3.5%

평일시작시각
Categorical

Distinct20
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
출근시각 07:00+퇴근시각 17:30
40 
0:00
39 
출근시각 07:00 + 퇴근시각 17:00
22 
출근시각 07:00 + 퇴근시각 17:30
11 
출근시각 7:00 +퇴근시각 17:00
10 
Other values (15)
49 

Length

Max length24
Median length23
Mean length14.573099
Min length4

Unique

Unique5 ?
Unique (%)2.9%

Sample

1st row0:00
2nd row0:00
3rd row0:00
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
출근시각 07:00+퇴근시각 17:30 40
23.4%
0:00 39
22.8%
출근시각 07:00 + 퇴근시각 17:00 22
12.9%
출근시각 07:00 + 퇴근시각 17:30 11
 
6.4%
출근시각 7:00 +퇴근시각 17:00 10
 
5.8%
07:00 + 18:00 9
 
5.3%
0:00:00 7
 
4.1%
출근시각07:00+퇴근시각17:00 6
 
3.5%
7:00 5
 
2.9%
17:30 5
 
2.9%
Other values (10) 17
9.9%

Length

2024-04-13T22:12:03.442362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
출근시각 86
19.5%
17:30 56
12.7%
07:00 45
10.2%
퇴근시각 43
9.8%
42
9.5%
07:00+퇴근시각 40
9.1%
0:00 39
8.8%
17:00 37
8.4%
7:00 15
 
3.4%
18:00 9
 
2.0%
Other values (13) 29
 
6.6%

평일종료시각
Categorical

Distinct25
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
출근시각09:00+퇴근시각 19:30
40 
23:59
33 
출근시각 09:00 + 퇴근시각 19:00
19 
출근시각 09:00 + 퇴근시각 19:30
11 
출근시각 09:00 + 퇴근시각 20:00
10 
Other values (20)
58 

Length

Max length24
Median length23
Mean length14.684211
Min length4

Unique

Unique6 ?
Unique (%)3.5%

Sample

1st row23:59
2nd row23:59
3rd row23:59
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
출근시각09:00+퇴근시각 19:30 40
23.4%
23:59 33
19.3%
출근시각 09:00 + 퇴근시각 19:00 19
11.1%
출근시각 09:00 + 퇴근시각 19:30 11
 
6.4%
출근시각 09:00 + 퇴근시각 20:00 10
 
5.8%
09:00 + 20:00 9
 
5.3%
0:00:00 7
 
4.1%
0:00 5
 
2.9%
21:00 4
 
2.3%
20:30 4
 
2.3%
Other values (15) 29
17.0%

Length

2024-04-13T22:12:03.767435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
19:30 54
13.1%
52
12.7%
09:00 49
11.9%
출근시각 46
11.2%
퇴근시각 43
10.5%
출근시각09:00+퇴근시각 40
9.7%
23:59 33
8.0%
20:00 23
5.6%
19:00 19
 
4.6%
0:00:00 7
 
1.7%
Other values (18) 45
10.9%

토요일시작시각
Categorical

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0:00
95 
00:00
56 
0:00:00
16 
해당없음
 
3
11:00
 
1

Length

Max length7
Median length4
Mean length4.6140351
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row0:00
2nd row0:00
3rd row0:00
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
0:00 95
55.6%
00:00 56
32.7%
0:00:00 16
 
9.4%
해당없음 3
 
1.8%
11:00 1
 
0.6%

Length

2024-04-13T22:12:03.998716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T22:12:04.197049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 95
55.6%
00:00 56
32.7%
0:00:00 16
 
9.4%
해당없음 3
 
1.8%
11:00 1
 
0.6%

토요일종료시각
Categorical

Distinct7
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
23:59
61 
00:00
56 
0:00
33 
0:00:00
16 
해당없음
 
3
Other values (2)
 
2

Length

Max length8
Median length5
Mean length4.994152
Min length4

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st row23:59
2nd row23:59
3rd row23:59
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
23:59 61
35.7%
00:00 56
32.7%
0:00 33
19.3%
0:00:00 16
 
9.4%
해당없음 3
 
1.8%
23:59:00 1
 
0.6%
18:00 1
 
0.6%

Length

2024-04-13T22:12:04.429444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T22:12:04.651381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23:59 61
35.7%
00:00 56
32.7%
0:00 33
19.3%
0:00:00 16
 
9.4%
해당없음 3
 
1.8%
23:59:00 1
 
0.6%
18:00 1
 
0.6%

공휴일시작시각
Categorical

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0:00
95 
00:00
56 
0:00:00
16 
해당없음
 
3
11:00
 
1

Length

Max length7
Median length4
Mean length4.6140351
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row0:00
2nd row0:00
3rd row0:00
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
0:00 95
55.6%
00:00 56
32.7%
0:00:00 16
 
9.4%
해당없음 3
 
1.8%
11:00 1
 
0.6%

Length

2024-04-13T22:12:04.881039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T22:12:05.079258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 95
55.6%
00:00 56
32.7%
0:00:00 16
 
9.4%
해당없음 3
 
1.8%
11:00 1
 
0.6%

공휴일종료시각
Categorical

Distinct7
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
23:59
61 
00:00
56 
0:00
33 
0:00:00
16 
해당없음
 
3
Other values (2)
 
2

Length

Max length8
Median length5
Mean length4.994152
Min length4

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st row23:59
2nd row23:59
3rd row23:59
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
23:59 61
35.7%
00:00 56
32.7%
0:00 33
19.3%
0:00:00 16
 
9.4%
해당없음 3
 
1.8%
23:59:00 1
 
0.6%
18:00 1
 
0.6%

Length

2024-04-13T22:12:05.310234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T22:12:05.535078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23:59 61
35.7%
00:00 56
32.7%
0:00 33
19.3%
0:00:00 16
 
9.4%
해당없음 3
 
1.8%
23:59:00 1
 
0.6%
18:00 1
 
0.6%

명절연휴시작시각
Categorical

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0:00
95 
00:00
56 
0:00:00
16 
해당없음
 
3
운영안함
 
1

Length

Max length7
Median length4
Mean length4.6081871
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row0:00
2nd row0:00
3rd row0:00
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
0:00 95
55.6%
00:00 56
32.7%
0:00:00 16
 
9.4%
해당없음 3
 
1.8%
운영안함 1
 
0.6%

Length

2024-04-13T22:12:05.763967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T22:12:05.964647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 95
55.6%
00:00 56
32.7%
0:00:00 16
 
9.4%
해당없음 3
 
1.8%
운영안함 1
 
0.6%

명절연휴종료시각
Categorical

Distinct7
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
23:59
59 
00:00
56 
0:00
35 
0:00:00
16 
해당없음
 
3
Other values (2)
 
2

Length

Max length8
Median length5
Mean length4.9766082
Min length4

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st row23:59
2nd row23:59
3rd row23:59
4th row0:00
5th row0:00

Common Values

ValueCountFrequency (%)
23:59 59
34.5%
00:00 56
32.7%
0:00 35
20.5%
0:00:00 16
 
9.4%
해당없음 3
 
1.8%
23:59:00 1
 
0.6%
운영안함 1
 
0.6%

Length

2024-04-13T22:12:06.209842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T22:12:06.437459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23:59 59
34.5%
00:00 56
32.7%
0:00 35
20.5%
0:00:00 16
 
9.4%
해당없음 3
 
1.8%
23:59:00 1
 
0.6%
운영안함 1
 
0.6%

통행가능차량
Categorical

Distinct24
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
도로교통법 시행령 [별표1]에 규정된 차량
42 
36인승 이상 대형승합자동차+36인승 미만 사업용 승합자동차+ 증명서 받급받은 어린이통학버스+지방경찰청장이 지정한 승합자동차
34 
대형승합차+사업용승합차+어린이통학버스+통학통근승합차+자율주행자동차+외국인관광객수송용승합자동차
16 
36인승 대형승합차 + 36인승미만 사업용 승합자동차 + 어린이통학버스(신고필증), 등
16 
36인 이상 버스 + 어린이통학차량
11 
Other values (19)
52 

Length

Max length250
Median length213
Mean length42.619883
Min length2

Unique

Unique5 ?
Unique (%)2.9%

Sample

1st row간선급행지정버스
2nd row버스
3rd row버스
4th row36인승 이상의 대형승합차+36인승 미만의 사업용 승합자동차+어린이통학버스+지방경찰청장이 지정한 승합자동차
5th row36인승 이상의 대형승합차+36인승 미만의 사업용 승합자동차+어린이통학버스+지방경찰청장이 지정한 승합자동차

Common Values

ValueCountFrequency (%)
도로교통법 시행령 [별표1]에 규정된 차량 42
24.6%
36인승 이상 대형승합자동차+36인승 미만 사업용 승합자동차+ 증명서 받급받은 어린이통학버스+지방경찰청장이 지정한 승합자동차 34
19.9%
대형승합차+사업용승합차+어린이통학버스+통학통근승합차+자율주행자동차+외국인관광객수송용승합자동차 16
 
9.4%
36인승 대형승합차 + 36인승미만 사업용 승합자동차 + 어린이통학버스(신고필증), 등 16
 
9.4%
36인 이상 버스 + 어린이통학차량 11
 
6.4%
버스 6
 
3.5%
간선급행지정버스 5
 
2.9%
9인이상승용차+승합자동차 4
 
2.3%
고속도로 외의 도로에 해당하는 차량 4
 
2.3%
36인승 이상의 대형승합자동차 4
 
2.3%
Other values (14) 29
17.0%

Length

2024-04-13T22:12:06.687314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승합자동차 100
 
8.3%
36인승 74
 
6.1%
이상 61
 
5.0%
사업용 60
 
5.0%
53
 
4.4%
시행령 47
 
3.9%
차량 47
 
3.9%
도로교통법 43
 
3.6%
규정된 42
 
3.5%
별표1]에 42
 
3.5%
Other values (111) 641
53.0%

버스전용차로속도
Categorical

Distinct6
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
60
78 
<NA>
54 
80
19 
70
11 
50
8 

Length

Max length4
Median length2
Mean length2.6315789
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row50
2nd row50
3rd row50
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
60 78
45.6%
<NA> 54
31.6%
80 19
 
11.1%
70 11
 
6.4%
50 8
 
4.7%
20 1
 
0.6%

Length

2024-04-13T22:12:06.923442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T22:12:07.319279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 78
45.6%
na 54
31.6%
80 19
 
11.1%
70 11
 
6.4%
50 8
 
4.7%
20 1
 
0.6%

관리기관명
Categorical

Distinct26
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
대구광역시 버스운영과
42 
부산광역시청
34 
인천광역시청
19 
대전광역시
16 
광주광역시청
11 
Other values (21)
49 

Length

Max length15
Median length14
Mean length8.1637427
Min length5

Unique

Unique8 ?
Unique (%)4.7%

Sample

1st row경기도 부천시청
2nd row경기도 하남시청
3rd row경기도 하남시청
4th row세종특별자치시
5th row세종특별자치시

Common Values

ValueCountFrequency (%)
대구광역시 버스운영과 42
24.6%
부산광역시청 34
19.9%
인천광역시청 19
11.1%
대전광역시 16
 
9.4%
광주광역시청 11
 
6.4%
경기도 부천시청 5
 
2.9%
경기도 용인시청 교통정책과 4
 
2.3%
경기도 수원시 대중교통과 4
 
2.3%
경상남도 창원시청 4
 
2.3%
경기도 성남시청 4
 
2.3%
Other values (16) 28
16.4%

Length

2024-04-13T22:12:07.529495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 42
15.8%
버스운영과 42
15.8%
부산광역시청 34
12.8%
경기도 32
12.0%
인천광역시청 19
 
7.1%
대전광역시 16
 
6.0%
광주광역시청 11
 
4.1%
대중교통과 7
 
2.6%
부천시청 5
 
1.9%
창원시청 4
 
1.5%
Other values (24) 54
20.3%

관리기관전화번호
Categorical

Distinct25
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
053-803-4859
42 
051-888-3971
34 
032-440-3883
19 
042-270-5783
16 
062-613-4486
11 
Other values (20)
49 

Length

Max length13
Median length12
Mean length12.046784
Min length12

Unique

Unique7 ?
Unique (%)4.1%

Sample

1st row032-625-9424
2nd row031-790-6270
3rd row031-790-6270
4th row044-300-8823
5th row044-300-8823

Common Values

ValueCountFrequency (%)
053-803-4859 42
24.6%
051-888-3971 34
19.9%
032-440-3883 19
11.1%
042-270-5783 16
 
9.4%
062-613-4486 11
 
6.4%
032-625-9424 5
 
2.9%
031-324-3328 4
 
2.3%
031-729-8622 4
 
2.3%
055-225-4296 4
 
2.3%
031-228-3824 4
 
2.3%
Other values (15) 28
16.4%

Length

2024-04-13T22:12:07.732601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
053-803-4859 42
24.6%
051-888-3971 34
19.9%
032-440-3883 19
11.1%
042-270-5783 16
 
9.4%
062-613-4486 11
 
6.4%
032-625-9424 5
 
2.9%
031-324-3328 4
 
2.3%
031-729-8622 4
 
2.3%
055-225-4296 4
 
2.3%
031-228-3824 4
 
2.3%
Other values (15) 28
16.4%

데이터기준일자
Categorical

Distinct23
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-07-14
42 
2022-12-20
34 
2023-01-17
19 
2021-10-26
16 
2023-12-22
11 
Other values (18)
49 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique7 ?
Unique (%)4.1%

Sample

1st row2024-01-08
2nd row2023-12-01
3rd row2023-12-01
4th row2023-11-14
5th row2023-11-14

Common Values

ValueCountFrequency (%)
2023-07-14 42
24.6%
2022-12-20 34
19.9%
2023-01-17 19
11.1%
2021-10-26 16
 
9.4%
2023-12-22 11
 
6.4%
2023-07-07 7
 
4.1%
2024-01-08 5
 
2.9%
2023-06-22 4
 
2.3%
2023-08-31 4
 
2.3%
2023-06-03 4
 
2.3%
Other values (13) 25
14.6%

Length

2024-04-13T22:12:07.940349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-07-14 42
24.6%
2022-12-20 34
19.9%
2023-01-17 19
11.1%
2021-10-26 16
 
9.4%
2023-12-22 11
 
6.4%
2023-07-07 7
 
4.1%
2024-01-08 5
 
2.9%
2023-06-22 4
 
2.3%
2023-08-31 4
 
2.3%
2023-06-03 4
 
2.3%
Other values (13) 25
14.6%

제공기관코드
Real number (ℝ)

Distinct24
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5748888.9
Minimum3740000
Maximum6500000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-13T22:12:08.129708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3740000
5-th percentile3825000
Q15690000
median6270000
Q36280000
95-th percentile6300000
Maximum6500000
Range2760000
Interquartile range (IQR)590000

Descriptive statistics

Standard deviation964074.35
Coefficient of variation (CV)0.16769751
Kurtosis-0.0087631767
Mean5748888.9
Median Absolute Deviation (MAD)10000
Skewness-1.3766666
Sum9.8306 × 108
Variance9.2943935 × 1011
MonotonicityNot monotonic
2024-04-13T22:12:08.331839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
6270000 42
24.6%
6260000 34
19.9%
6280000 19
11.1%
6300000 16
 
9.4%
6290000 11
 
6.4%
3860000 5
 
2.9%
4050000 4
 
2.3%
3780000 4
 
2.3%
3830000 4
 
2.3%
5670000 4
 
2.3%
Other values (14) 28
16.4%
ValueCountFrequency (%)
3740000 4
2.3%
3780000 4
2.3%
3820000 1
 
0.6%
3830000 4
2.3%
3860000 5
2.9%
3900000 1
 
0.6%
3940000 3
1.8%
3970000 3
1.8%
3990000 1
 
0.6%
4040000 2
 
1.2%
ValueCountFrequency (%)
6500000 3
 
1.8%
6310000 1
 
0.6%
6300000 16
 
9.4%
6290000 11
 
6.4%
6280000 19
11.1%
6270000 42
24.6%
6260000 34
19.9%
5710000 1
 
0.6%
5690000 3
 
1.8%
5670000 4
 
2.3%

제공기관명
Categorical

Distinct24
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
대구광역시
42 
부산광역시
34 
인천광역시
19 
대전광역시
16 
광주광역시
11 
Other values (19)
49 

Length

Max length8
Median length5
Mean length5.6023392
Min length5

Unique

Unique7 ?
Unique (%)4.1%

Sample

1st row경기도 부천시
2nd row경기도 하남시
3rd row경기도 하남시
4th row세종특별자치시
5th row세종특별자치시

Common Values

ValueCountFrequency (%)
대구광역시 42
24.6%
부산광역시 34
19.9%
인천광역시 19
11.1%
대전광역시 16
 
9.4%
광주광역시 11
 
6.4%
경기도 부천시 5
 
2.9%
경기도 용인시 4
 
2.3%
경기도 수원시 4
 
2.3%
경기도 안양시 4
 
2.3%
경상남도 창원시 4
 
2.3%
Other values (14) 28
16.4%

Length

2024-04-13T22:12:08.556255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 42
19.7%
경기도 37
17.4%
부산광역시 34
16.0%
인천광역시 19
8.9%
대전광역시 16
 
7.5%
광주광역시 11
 
5.2%
부천시 5
 
2.3%
용인시 4
 
1.9%
수원시 4
 
1.9%
안양시 4
 
1.9%
Other values (17) 37
17.4%

Sample

시도명시군구명도로종류도로노선번호도로노선명차로수버스전용차로기점명버스전용차로종점명버스전용차로기점위도버스전용차로기점경도버스전용차로종점위도버스전용차로종점경도버스전용차로총연장버스전용차로종류버스전용차로지정해제여부시행일자운영시간구분평일시작시각평일종료시각토요일시작시각토요일종료시각공휴일시작시각공휴일종료시각명절연휴시작시각명절연휴종료시각통행가능차량버스전용차로속도관리기관명관리기관전화번호데이터기준일자제공기관코드제공기관명
0경기도부천시 오정구시도<NA>봉오대로 (인천방향)4고강지하차도굴포천37.539151126.82061437.531846126.7605112.9599Y2017-01-01<NA>0:0023:590:0023:590:0023:590:0023:59간선급행지정버스50경기도 부천시청032-625-94242024-01-083860000경기도 부천시
1경기도하남시일반국도43번하남대로2황산사거리시청사거리37.549694127.18789237.538459127.2125483.01Y2011-01-3140:0023:590:0023:590:0023:590:0023:59버스50경기도 하남시청031-790-62702023-12-014040000경기도 하남시
2경기도하남시시도<NA>대청로2시청사거리창우지하차도교차로37.538459127.21254837.538653127.2290821.581Y2011-01-3140:0023:590:0023:590:0023:590:0023:59버스50경기도 하남시청031-790-62702023-12-014040000경기도 하남시
3세종특별자치시없음일반국도1번세종로8해들교차로남세종IC 교차로36.467115127.27510336.423061127.2961725.391Y2012-09-1810:000:000:000:000:000:000:000:0036인승 이상의 대형승합차+36인승 미만의 사업용 승합자동차+어린이통학버스+지방경찰청장이 지정한 승합자동차<NA>세종특별자치시044-300-88232023-11-145690000세종특별자치시
4세종특별자치시없음시도6호선구즉세종로6소담교차로둔곡터널입구36.479878127.30833936.468809127.3593235.871Y2016-07-2010:000:000:000:000:000:000:000:0036인승 이상의 대형승합차+36인승 미만의 사업용 승합자동차+어린이통학버스+지방경찰청장이 지정한 승합자동차<NA>세종특별자치시044-300-88232023-11-145690000세종특별자치시
5세종특별자치시없음시도11호선세종오송로6세종오송로입구미호대교입구36.537415127.30452136.583474127.3216285.311Y2012-09-1810:000:000:000:000:000:000:000:0036인승 이상의 대형승합차+36인승 미만의 사업용 승합자동차+어린이통학버스+지방경찰청장이 지정한 승합자동차<NA>세종특별자치시044-300-88232023-11-145690000세종특별자치시
6경기도화성시시도<NA>10용사로+삼성1로6서동탄역사거리반월교차로37.199717127.05146237.226227127.0726735.31Y2009-01-0110:0023:590:0023:590:0023:590:0023:5936인승 이상 대형승합자동차+36인승 미만 사업용승합자동차+어린이통학버스+국토교통부장관의 임시운행허가 받은 자율주행자동차<NA>경기도 화성시청031-5189-23172023-11-095530000경기도 화성시
7충청북도청주시지방도604번세종오송로6오송역미호대교36.618317127.32720636.583656127.3217744.261N2012-09-1810:0023:590:0023:590:0023:590:0023:5916인승 이상 승합자동차80충청북도 청주시청043-201-28302022-05-255710000충청북도 청주시
8부산광역시동래구+금정구시도61중앙대로6소정천삼거리내성교차로35.222875129.08746635.098074129.0354172.32Y2005-07-012출근시각 07:00 + 퇴근시각 17:00출근시각 09:00 + 퇴근시각 19:000:0023:590:0023:590:0023:5936인승 이상 대형승합자동차+36인승 미만 사업용 승합자동차+ 증명서 받급받은 어린이통학버스+지방경찰청장이 지정한 승합자동차60부산광역시청051-888-39712022-12-206260000부산광역시
9부산광역시동래구+연제구시도61중앙대로6내성교차로서면광무교35.222875129.08746635.098074129.0354176.62Y2019-12-3040:0023:590:0023:590:0023:590:0023:5936인승 이상 대형승합자동차+36인승 미만 사업용 승합자동차+ 증명서 받급받은 어린이통학버스+지방경찰청장이 지정한 승합자동차60부산광역시청051-888-39712022-12-206260000부산광역시
시도명시군구명도로종류도로노선번호도로노선명차로수버스전용차로기점명버스전용차로종점명버스전용차로기점위도버스전용차로기점경도버스전용차로종점위도버스전용차로종점경도버스전용차로총연장버스전용차로종류버스전용차로지정해제여부시행일자운영시간구분평일시작시각평일종료시각토요일시작시각토요일종료시각공휴일시작시각공휴일종료시각명절연휴시작시각명절연휴종료시각통행가능차량버스전용차로속도관리기관명관리기관전화번호데이터기준일자제공기관코드제공기관명
161경기도광명시지방도소로 1-23가학로85번길3가학동 217-5가학동 2737.41622126.85846437.424246126.8649211.482Y2017-07-01<NA>11:0018:0011:0018:0011:0018:00운영안함운영안함버스<NA>광명시 도시교통과02-2680-25852022-11-143900000경기도 광명시
162대구광역시중구, 서구특별시도대로1-7대로2-1국채보상로4서성네거리신평리네거리35.870151128.58709435.870606128.5551943.02Y1992-12-152출근시각 07:00+퇴근시각 17:30출근시각09:00+퇴근시각 19:3000:0000:0000:0000:0000:0000:00도로교통법 시행령 [별표1]에 규정된 차량60대구광역시 버스운영과053-803-48592023-07-146270000대구광역시
163대구광역시수성구특별시도광로2-1달구벌대로5만촌네거리담티고가교35.858703128.64640835.853025128.6585561.42Y2002-06-012출근시각 07:00+퇴근시각 17:30출근시각09:00+퇴근시각 19:3000:0000:0000:0000:0000:0000:00도로교통법 시행령 [별표1]에 규정된 차량70대구광역시 버스운영과053-803-48592023-07-146270000대구광역시
164대구광역시수성구특별시도광로2-1달구벌대로5담티고가교만촌네거리35.853328128.65859735.858878128.6466511.42Y2002-06-012출근시각 07:00+퇴근시각 17:30출근시각09:00+퇴근시각 19:3000:0000:0000:0000:0000:0000:00도로교통법 시행령 [별표1]에 규정된 차량70대구광역시 버스운영과053-803-48592023-07-146270000대구광역시
165대구광역시수성구특별시도광로2-1달구벌대로5만촌네거리수성교35.859022128.64546135.861128128.6096063.32Y1993-07-202출근시각 07:00+퇴근시각 17:30출근시각09:00+퇴근시각 19:3000:0000:0000:0000:0000:0000:00도로교통법 시행령 [별표1]에 규정된 차량70대구광역시 버스운영과053-803-48592023-07-146270000대구광역시
166대구광역시수성구특별시도광로2-1달구벌대로5수성교만촌네거리35.860831128.60951735.858747128.6452893.32Y1993-07-202출근시각 07:00+퇴근시각 17:30출근시각09:00+퇴근시각 19:3000:0000:0000:0000:0000:0000:00도로교통법 시행령 [별표1]에 규정된 차량70대구광역시 버스운영과053-803-48592023-07-146270000대구광역시
167대구광역시서구, 달서구특별시도광로2-1달구벌대로5두류네거리성서IC35.857842128.64055335.848933128.5272514.02Y2006-02-192출근시각 07:00+퇴근시각 17:30출근시각09:00+퇴근시각 19:3000:0000:0000:0000:0000:0000:00도로교통법 시행령 [별표1]에 규정된 차량70대구광역시 버스운영과053-803-48592023-07-146270000대구광역시
168대구광역시서구, 달서구특별시도광로2-1달구벌대로5성서IC두류네거리35.848736128.52726135.857706128.5572834.02Y2006-02-192출근시각 07:00+퇴근시각 17:30출근시각09:00+퇴근시각 19:3000:0000:0000:0000:0000:0000:00도로교통법 시행령 [별표1]에 규정된 차량70대구광역시 버스운영과053-803-48592023-07-146270000대구광역시
169광주광역시서구시도<NA>상무로<NA>운천저수지돌고개역35.148381126.85240935.151784126.8954877.02Y2002-07-011출근시각 07:00 + 퇴근시각 17:30출근시각 09:00 + 퇴근시각 19:300:000:000:000:000:000:0036인 이상 버스 + 어린이통학차량<NA>광주광역시청062-613-44862023-12-226290000광주광역시
170광주광역시동구시도<NA>남문로<NA>소태역동구청35.123524126.932435.145787126.922013.42Y2002-07-011출근시각 07:00 + 퇴근시각 17:30출근시각 09:00 + 퇴근시각 19:300:000:000:000:000:000:0036인 이상 버스 + 어린이통학차량<NA>광주광역시청062-613-44862023-12-226290000광주광역시