Overview

Dataset statistics

Number of variables30
Number of observations37
Missing cells16
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory252.6 B

Variable types

Categorical18
Text4
Numeric6
Boolean1
DateTime1

Dataset

Description버스 전용 차로 정보 현황(제공표준)
Author고양시
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=RE40DPUUT77Z7K3AWC2I26913139&infSeq=1

Alerts

시도명 has constant value ""Constant
버스전용차로지정해제여부 is highly imbalanced (59.4%)Imbalance
도로노선번호 has 8 (21.6%) missing valuesMissing
차로수 has 8 (21.6%) missing valuesMissing
버스전용차로기점명 has unique valuesUnique
버스전용차로기점위도 has unique valuesUnique
버스전용차로기점경도 has unique valuesUnique
버스전용차로종점위도 has unique valuesUnique
버스전용차로종점경도 has unique valuesUnique

Reproduction

Analysis started2024-05-10 21:37:08.481121
Analysis finished2024-05-10 21:37:09.170786
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
경기도
37 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 37
100.0%

Length

2024-05-10T21:37:09.387519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:37:09.735917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 37
100.0%

시군구명
Categorical

Distinct16
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
용인시
4 
수원시
4 
성남시
4 
안양시
4 
과천시
3 
Other values (11)
18 

Length

Max length7
Median length3
Mean length3.5945946
Min length3

Unique

Unique6 ?
Unique (%)16.2%

Sample

1st row남양주시
2nd row의정부시
3rd row용인시
4th row용인시
5th row용인시

Common Values

ValueCountFrequency (%)
용인시 4
10.8%
수원시 4
10.8%
성남시 4
10.8%
안양시 4
10.8%
과천시 3
8.1%
김포시 3
8.1%
고양시 3
8.1%
부천시 오정구 2
 
5.4%
하남시 2
 
5.4%
부천시 소사구 2
 
5.4%
Other values (6) 6
16.2%

Length

2024-05-10T21:37:10.242676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부천시 5
11.9%
용인시 4
9.5%
성남시 4
9.5%
안양시 4
9.5%
수원시 4
9.5%
과천시 3
 
7.1%
김포시 3
 
7.1%
고양시 3
 
7.1%
소사구 2
 
4.8%
오정구 2
 
4.8%
Other values (7) 8
19.0%

도로종류
Categorical

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
일반국도
18 
시도
16 
지방도
2 
국가지원지방도
 
1

Length

Max length7
Median length4
Mean length3.1621622
Min length2

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
일반국도 18
48.6%
시도 16
43.2%
지방도 2
 
5.4%
국가지원지방도 1
 
2.7%

Length

2024-05-10T21:37:10.914948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:37:11.311549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반국도 18
48.6%
시도 16
43.2%
지방도 2
 
5.4%
국가지원지방도 1
 
2.7%

도로노선번호
Text

MISSING 

Distinct19
Distinct (%)65.5%
Missing8
Missing (%)21.6%
Memory size428.0 B
2024-05-10T21:37:11.686811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length2.8965517
Min length1

Characters and Unicode

Total characters84
Distinct characters18
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

Unique11 ?
Unique (%)37.9%

Sample

1st row6번
2nd row없음
3rd row42
4th row1
5th row42
ValueCountFrequency (%)
3번 3
 
10.0%
48호선 3
 
10.0%
1번 2
 
6.7%
42 2
 
6.7%
1 2
 
6.7%
79호선 2
 
6.7%
47 2
 
6.7%
46번 2
 
6.7%
47번 1
 
3.3%
1-23 1
 
3.3%
Other values (10) 10
33.3%
2024-05-10T21:37:12.681854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 13
15.5%
번 12
14.3%
호 8
9.5%
선 8
9.5%
3 7
8.3%
7 7
8.3%
1 6
7.1%
2 6
7.1%
8 4
 
4.8%
6 3
 
3.6%
Other values (8) 10
11.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49
58.3%
Other Letter 32
38.1%
Dash Punctuation 2
 
2.4%
Space Separator 1
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 13
26.5%
3 7
14.3%
7 7
14.3%
1 6
12.2%
2 6
12.2%
8 4
 
8.2%
6 3
 
6.1%
9 2
 
4.1%
5 1
 
2.0%
Other Letter
ValueCountFrequency (%)
번 12
37.5%
호 8
25.0%
선 8
25.0%
없 1
 
3.1%
음 1
 
3.1%
소 1
 
3.1%
로 1
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 52
61.9%
Hangul 32
38.1%

Most frequent character per script

Common
ValueCountFrequency (%)
4 13
25.0%
3 7
13.5%
7 7
13.5%
1 6
11.5%
2 6
11.5%
8 4
 
7.7%
6 3
 
5.8%
- 2
 
3.8%
9 2
 
3.8%
5 1
 
1.9%
Hangul
ValueCountFrequency (%)
번 12
37.5%
호 8
25.0%
선 8
25.0%
없 1
 
3.1%
음 1
 
3.1%
소 1
 
3.1%
로 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52
61.9%
Hangul 32
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 13
25.0%
3 7
13.5%
7 7
13.5%
1 6
11.5%
2 6
11.5%
8 4
 
7.7%
6 3
 
5.8%
- 2
 
3.8%
9 2
 
3.8%
5 1
 
1.9%
Hangul
ValueCountFrequency (%)
번 12
37.5%
호 8
25.0%
선 8
25.0%
없 1
 
3.1%
음 1
 
3.1%
소 1
 
3.1%
로 1
 
3.1%

도로노선명
Text

Distinct27
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-05-10T21:37:13.115106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length4
Mean length5.0540541
Min length3

Characters and Unicode

Total characters187
Distinct characters66
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)54.1%

Sample

1st row경춘로
2nd row서계로+동일로+신평화로
3rd row중부대로
4th row용구대로
5th row중부대로
ValueCountFrequency (%)
중부대로 3
 
7.3%
김포대로 3
 
7.3%
중앙로 3
 
7.3%
권율대로 2
 
4.9%
과천대로 2
 
4.9%
성남대로 2
 
4.9%
경수대로 2
 
4.9%
봉오대로 2
 
4.9%
경인로 2
 
4.9%
상행 1
 
2.4%
Other values (19) 19
46.3%
2024-05-10T21:37:13.970599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 39
20.9%
대 23
 
12.3%
중 7
 
3.7%
경 5
 
2.7%
( 4
 
2.1%
인 4
 
2.1%
) 4
 
2.1%
천 4
 
2.1%
서 4
 
2.1%
4
 
2.1%
Other values (56) 89
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166
88.8%
Decimal Number 6
 
3.2%
Open Punctuation 4
 
2.1%
Close Punctuation 4
 
2.1%
Space Separator 4
 
2.1%
Math Symbol 3
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 39
23.5%
대 23
 
13.9%
중 7
 
4.2%
경 5
 
3.0%
인 4
 
2.4%
천 4
 
2.4%
서 4
 
2.4%
앙 4
 
2.4%
성 3
 
1.8%
포 3
 
1.8%
Other values (47) 70
42.2%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
8 1
16.7%
5 1
16.7%
9 1
16.7%
0 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166
88.8%
Common 21
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 39
23.5%
대 23
 
13.9%
중 7
 
4.2%
경 5
 
3.0%
인 4
 
2.4%
천 4
 
2.4%
서 4
 
2.4%
앙 4
 
2.4%
성 3
 
1.8%
포 3
 
1.8%
Other values (47) 70
42.2%
Common
ValueCountFrequency (%)
( 4
19.0%
) 4
19.0%
4
19.0%
+ 3
14.3%
1 2
9.5%
8 1
 
4.8%
5 1
 
4.8%
9 1
 
4.8%
0 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166
88.8%
ASCII 21
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 39
23.5%
대 23
 
13.9%
중 7
 
4.2%
경 5
 
3.0%
인 4
 
2.4%
천 4
 
2.4%
서 4
 
2.4%
앙 4
 
2.4%
성 3
 
1.8%
포 3
 
1.8%
Other values (47) 70
42.2%
ASCII
ValueCountFrequency (%)
( 4
19.0%
) 4
19.0%
4
19.0%
+ 3
14.3%
1 2
9.5%
8 1
 
4.8%
5 1
 
4.8%
9 1
 
4.8%
0 1
 
4.8%

차로수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)20.7%
Missing8
Missing (%)21.6%
Infinite0
Infinite (%)0.0%
Mean4.8275862
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-10T21:37:14.303280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.5644404
Coefficient of variation (CV)0.53120552
Kurtosis-1.3425608
Mean4.8275862
Median Absolute Deviation (MAD)2
Skewness-0.24476051
Sum140
Variance6.5763547
MonotonicityNot monotonic
2024-05-10T21:37:14.666633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 9
24.3%
8 7
18.9%
1 5
13.5%
4 3
 
8.1%
3 3
 
8.1%
2 2
 
5.4%
(Missing) 8
21.6%
ValueCountFrequency (%)
1 5
13.5%
2 2
 
5.4%
3 3
 
8.1%
4 3
 
8.1%
6 9
24.3%
8 7
18.9%
ValueCountFrequency (%)
8 7
18.9%
6 9
24.3%
4 3
 
8.1%
3 3
 
8.1%
2 2
 
5.4%
1 5
13.5%

버스전용차로기점명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-05-10T21:37:15.214347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.5945946
Min length3

Characters and Unicode

Total characters207
Distinct characters91
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

Unique37 ?
Unique (%)100.0%

Sample

1st row구리시계
2nd row장암고가
3rd row삼성삼거리
4th row벽산APT
5th row기흥역
ValueCountFrequency (%)
구리시계 1
 
2.6%
송내동 1
 
2.6%
가학동 1
 
2.6%
217-5 1
 
2.6%
고강지하차도 1
 
2.6%
황산사거리 1
 
2.6%
시청사거리 1
 
2.6%
서동탄역사거리 1
 
2.6%
머내고가교 1
 
2.6%
유한대학 1
 
2.6%
Other values (28) 28
73.7%
2024-05-10T21:37:16.209975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 20
 
9.7%
거 18
 
8.7%
사 16
 
7.7%
동 8
 
3.9%
역 6
 
2.9%
원 5
 
2.4%
서 5
 
2.4%
삼 5
 
2.4%
차 4
 
1.9%
지 4
 
1.9%
Other values (81) 116
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 191
92.3%
Decimal Number 5
 
2.4%
Open Punctuation 3
 
1.4%
Close Punctuation 3
 
1.4%
Uppercase Letter 3
 
1.4%
Dash Punctuation 1
 
0.5%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 20
 
10.5%
거 18
 
9.4%
사 16
 
8.4%
동 8
 
4.2%
역 6
 
3.1%
원 5
 
2.6%
서 5
 
2.6%
삼 5
 
2.6%
차 4
 
2.1%
지 4
 
2.1%
Other values (70) 100
52.4%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
5 1
20.0%
7 1
20.0%
2 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
P 1
33.3%
T 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 191
92.3%
Common 13
 
6.3%
Latin 3
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 20
 
10.5%
거 18
 
9.4%
사 16
 
8.4%
동 8
 
4.2%
역 6
 
3.1%
원 5
 
2.6%
서 5
 
2.6%
삼 5
 
2.6%
차 4
 
2.1%
지 4
 
2.1%
Other values (70) 100
52.4%
Common
ValueCountFrequency (%)
( 3
23.1%
) 3
23.1%
1 2
15.4%
5 1
 
7.7%
- 1
 
7.7%
7 1
 
7.7%
2 1
 
7.7%
1
 
7.7%
Latin
ValueCountFrequency (%)
A 1
33.3%
P 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 191
92.3%
ASCII 16
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 20
 
10.5%
거 18
 
9.4%
사 16
 
8.4%
동 8
 
4.2%
역 6
 
3.1%
원 5
 
2.6%
서 5
 
2.6%
삼 5
 
2.6%
차 4
 
2.1%
지 4
 
2.1%
Other values (70) 100
52.4%
ASCII
ValueCountFrequency (%)
( 3
18.8%
) 3
18.8%
1 2
12.5%
5 1
 
6.2%
- 1
 
6.2%
7 1
 
6.2%
2 1
 
6.2%
1
 
6.2%
A 1
 
6.2%
P 1
 
6.2%

버스전용차로종점명
Text

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-05-10T21:37:16.672266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.6486486
Min length3

Characters and Unicode

Total characters209
Distinct characters92
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

Unique35 ?
Unique (%)94.6%

Sample

1st row도농삼거리
2nd row호장교북단
3rd row수원신갈IC
4th row보정삼거리
5th row수원신갈IC
ValueCountFrequency (%)
수원신갈ic 2
 
5.1%
솔안공원사거리 1
 
2.6%
유한대학 1
 
2.6%
송내동 1
 
2.6%
굴포천 1
 
2.6%
시청사거리 1
 
2.6%
창우지하차도교차로 1
 
2.6%
반월교차로 1
 
2.6%
세곡사거리 1
 
2.6%
대화동 1
 
2.6%
Other values (28) 28
71.8%
2024-05-10T21:37:17.585820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 15
 
7.2%
거 15
 
7.2%
사 9
 
4.3%
삼 7
 
3.3%
교 6
 
2.9%
차 5
 
2.4%
로 5
 
2.4%
원 5
 
2.4%
동 5
 
2.4%
대 5
 
2.4%
Other values (82) 132
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 190
90.9%
Decimal Number 7
 
3.3%
Uppercase Letter 6
 
2.9%
Close Punctuation 2
 
1.0%
Space Separator 2
 
1.0%
Open Punctuation 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 15
 
7.9%
거 15
 
7.9%
사 9
 
4.7%
삼 7
 
3.7%
교 6
 
3.2%
차 5
 
2.6%
로 5
 
2.6%
원 5
 
2.6%
동 5
 
2.6%
대 5
 
2.6%
Other values (73) 113
59.5%
Decimal Number
ValueCountFrequency (%)
7 2
28.6%
2 2
28.6%
1 2
28.6%
0 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
I 3
50.0%
C 3
50.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 190
90.9%
Common 13
 
6.2%
Latin 6
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 15
 
7.9%
거 15
 
7.9%
사 9
 
4.7%
삼 7
 
3.7%
교 6
 
3.2%
차 5
 
2.6%
로 5
 
2.6%
원 5
 
2.6%
동 5
 
2.6%
대 5
 
2.6%
Other values (73) 113
59.5%
Common
ValueCountFrequency (%)
) 2
15.4%
2
15.4%
7 2
15.4%
( 2
15.4%
2 2
15.4%
1 2
15.4%
0 1
7.7%
Latin
ValueCountFrequency (%)
I 3
50.0%
C 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 190
90.9%
ASCII 19
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 15
 
7.9%
거 15
 
7.9%
사 9
 
4.7%
삼 7
 
3.7%
교 6
 
3.2%
차 5
 
2.6%
로 5
 
2.6%
원 5
 
2.6%
동 5
 
2.6%
대 5
 
2.6%
Other values (73) 113
59.5%
ASCII
ValueCountFrequency (%)
I 3
15.8%
C 3
15.8%
) 2
10.5%
2
10.5%
7 2
10.5%
( 2
10.5%
2 2
10.5%
1 2
10.5%
0 1
 
5.3%

버스전용차로기점위도
Real number (ℝ)

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.432079
Minimum36.99412
Maximum37.724082
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-10T21:37:17.999223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.99412
5-th percentile37.238004
Q137.335968
median37.425
Q337.539151
95-th percentile37.65533
Maximum37.724082
Range0.7299621
Interquartile range (IQR)0.203183

Descriptive statistics

Standard deviation0.15375561
Coefficient of variation (CV)0.0041075893
Kurtosis0.4146772
Mean37.432079
Median Absolute Deviation (MAD)0.114151
Skewness-0.38802218
Sum1384.9869
Variance0.023640787
MonotonicityNot monotonic
2024-05-10T21:37:18.442718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
37.604145 1
 
2.7%
37.488155 1
 
2.7%
37.41622 1
 
2.7%
37.539151 1
 
2.7%
37.5496939 1
 
2.7%
37.5384594 1
 
2.7%
37.199717 1
 
2.7%
37.3399039 1
 
2.7%
37.483304 1
 
2.7%
37.488624 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
36.9941199 1
2.7%
37.199717 1
2.7%
37.247576 1
2.7%
37.268172 1
2.7%
37.2726054 1
2.7%
37.2734605 1
2.7%
37.276005 1
2.7%
37.278347 1
2.7%
37.2851231 1
2.7%
37.335968 1
2.7%
ValueCountFrequency (%)
37.724082 1
2.7%
37.6755957 1
2.7%
37.650263 1
2.7%
37.615687 1
2.7%
37.610991 1
2.7%
37.604145 1
2.7%
37.599791 1
2.7%
37.583072 1
2.7%
37.5496939 1
2.7%
37.539151 1
2.7%

버스전용차로기점경도
Real number (ℝ)

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.97653
Minimum126.73663
Maximum127.21255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-10T21:37:18.857165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.73663
5-th percentile126.75545
Q1126.85846
median126.99437
Q3127.10297
95-th percentile127.157
Maximum127.21255
Range0.4759197
Interquartile range (IQR)0.2445051

Descriptive statistics

Standard deviation0.14012993
Coefficient of variation (CV)0.0011035892
Kurtosis-1.1932299
Mean126.97653
Median Absolute Deviation (MAD)0.1147828
Skewness-0.23451618
Sum4698.1317
Variance0.019636397
MonotonicityNot monotonic
2024-05-10T21:37:19.260061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
127.149281 1
 
2.7%
126.821209 1
 
2.7%
126.858464 1
 
2.7%
126.820614 1
 
2.7%
127.1878918 1
 
2.7%
127.2125477 1
 
2.7%
127.051462 1
 
2.7%
127.1029691 1
 
2.7%
126.756508 1
 
2.7%
126.751207 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
126.736628 1
2.7%
126.751207 1
2.7%
126.756508 1
2.7%
126.760494 1
2.7%
126.771712 1
2.7%
126.798379 1
2.7%
126.820614 1
2.7%
126.821209 1
2.7%
126.848681 1
2.7%
126.858464 1
2.7%
ValueCountFrequency (%)
127.2125477 1
2.7%
127.1878918 1
2.7%
127.149281 1
2.7%
127.1335409 1
2.7%
127.1325999 1
2.7%
127.128599 1
2.7%
127.115934 1
2.7%
127.109148 1
2.7%
127.108951 1
2.7%
127.1029691 1
2.7%

버스전용차로종점위도
Real number (ℝ)

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.436133
Minimum36.997553
Maximum37.701244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-10T21:37:19.660370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.997553
5-th percentile37.231114
Q137.306663
median37.446021
Q337.538653
95-th percentile37.656793
Maximum37.701244
Range0.70369148
Interquartile range (IQR)0.2319903

Descriptive statistics

Standard deviation0.15201379
Coefficient of variation (CV)0.0040606168
Kurtosis0.45430322
Mean37.436133
Median Absolute Deviation (MAD)0.0963735
Skewness-0.48838827
Sum1385.1369
Variance0.023108193
MonotonicityNot monotonic
2024-05-10T21:37:20.115534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
37.612617 1
 
2.7%
37.483304 1
 
2.7%
37.424246 1
 
2.7%
37.531846 1
 
2.7%
37.5384594 1
 
2.7%
37.5386533 1
 
2.7%
37.226227 1
 
2.7%
37.4619065 1
 
2.7%
37.488155 1
 
2.7%
37.488301 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
36.99755252 1
2.7%
37.226227 1
2.7%
37.232336 1
2.7%
37.2620025 1
2.7%
37.266339 1
2.7%
37.2682118 1
2.7%
37.269779 1
2.7%
37.2851231 1
2.7%
37.3042402 1
2.7%
37.306663 1
2.7%
ValueCountFrequency (%)
37.701244 1
2.7%
37.675721 1
2.7%
37.652061 1
2.7%
37.650263 1
2.7%
37.612617 1
2.7%
37.600594 1
2.7%
37.583281 1
2.7%
37.564592 1
2.7%
37.539151 1
2.7%
37.5386533 1
2.7%

버스전용차로종점경도
Real number (ℝ)

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.98244
Minimum126.74847
Maximum127.22908
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-10T21:37:20.589298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.74847
5-th percentile126.75649
Q1126.86492
median126.99572
Q3127.10393
95-th percentile127.17994
Maximum127.22908
Range0.4806106
Interquartile range (IQR)0.239006

Descriptive statistics

Standard deviation0.14481351
Coefficient of variation (CV)0.0011404216
Kurtosis-1.1837121
Mean126.98244
Median Absolute Deviation (MAD)0.1123886
Skewness-0.20692109
Sum4698.3501
Variance0.020970954
MonotonicityNot monotonic
2024-05-10T21:37:20.915651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
127.171783 1
 
2.7%
126.756511 1
 
2.7%
126.864921 1
 
2.7%
126.760511 1
 
2.7%
127.2125477 1
 
2.7%
127.2290816 1
 
2.7%
127.072673 1
 
2.7%
127.1081096 1
 
2.7%
126.821211 1
 
2.7%
126.756411 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
126.748471 1
2.7%
126.756411 1
2.7%
126.756511 1
2.7%
126.760511 1
2.7%
126.770715 1
2.7%
126.798171 1
2.7%
126.806043 1
2.7%
126.820611 1
2.7%
126.821211 1
2.7%
126.864921 1
2.7%
ValueCountFrequency (%)
127.2290816 1
2.7%
127.2125477 1
2.7%
127.171783 1
2.7%
127.156412 1
2.7%
127.1509272 1
2.7%
127.126375 1
2.7%
127.109167 1
2.7%
127.1081096 1
2.7%
127.105916 1
2.7%
127.103927 1
2.7%

버스전용차로총연장
Real number (ℝ)

Distinct29
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5394595
Minimum0.49
Maximum15.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-10T21:37:21.240759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.49
5-th percentile1.08
Q11.58
median2.95
Q34
95-th percentile11.48
Maximum15.6
Range15.11
Interquartile range (IQR)2.42

Descriptive statistics

Standard deviation3.2823382
Coefficient of variation (CV)0.92735579
Kurtosis6.7893303
Mean3.5394595
Median Absolute Deviation (MAD)1.35
Skewness2.5624717
Sum130.96
Variance10.773744
MonotonicityNot monotonic
2024-05-10T21:37:21.637770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3.4 3
 
8.1%
3.0 3
 
8.1%
1.1 2
 
5.4%
4.4 2
 
5.4%
2.95 2
 
5.4%
3.6 2
 
5.4%
1.58 1
 
2.7%
5.3 1
 
2.7%
13.8 1
 
2.7%
2.3 1
 
2.7%
Other values (19) 19
51.4%
ValueCountFrequency (%)
0.49 1
2.7%
1.0 1
2.7%
1.1 2
5.4%
1.2 1
2.7%
1.4 1
2.7%
1.47 1
2.7%
1.48 1
2.7%
1.5 1
2.7%
1.58 1
2.7%
1.6 1
2.7%
ValueCountFrequency (%)
15.6 1
2.7%
13.8 1
2.7%
10.9 1
2.7%
5.3 1
2.7%
5.2 1
2.7%
4.7 1
2.7%
4.4 2
5.4%
4.2 1
2.7%
4.0 1
2.7%
3.6 2
5.4%

버스전용차로종류
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
1
17 
2
17 
99
3 

Length

Max length2
Median length1
Mean length1.0810811
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 17
45.9%
2 17
45.9%
99 3
 
8.1%

Length

2024-05-10T21:37:22.266631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:37:22.619741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
45.9%
2 17
45.9%
99 3
 
8.1%

버스전용차로지정해제여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size169.0 B
True
34 
False
 
3
ValueCountFrequency (%)
True 34
91.9%
False 3
 
8.1%
2024-05-10T21:37:22.942562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시행일자
Date

Distinct32
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum1995-08-01 00:00:00
Maximum2023-05-26 00:00:00
2024-05-10T21:37:23.302805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:37:23.699682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

운영시간구분
Categorical

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
2
18 
1
11 
<NA>
6 
4
2 

Length

Max length4
Median length1
Mean length1.4864865
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 18
48.6%
1 11
29.7%
<NA> 6
 
16.2%
4 2
 
5.4%

Length

2024-05-10T21:37:24.109128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:37:24.412412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 18
48.6%
1 11
29.7%
na 6
 
16.2%
4 2
 
5.4%

평일시작시각
Categorical

Distinct12
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
0:00
13 
출근시각07:00+퇴근시각17:00
6 
07:00
3 
출근시각 07:30+퇴근시각 17:00
3 
출근시각 07:00 + 퇴근시각 17:00
3 
Other values (7)
9 

Length

Max length23
Median length21
Mean length10.837838
Min length4

Unique

Unique5 ?
Unique (%)13.5%

Sample

1st row0:00
2nd row0:00
3rd row출근시각07:00+퇴근시각17:00
4th row출근시각07:30+퇴근시각17:00
5th row출근시각07:00+퇴근시각17:00

Common Values

ValueCountFrequency (%)
0:00 13
35.1%
출근시각07:00+퇴근시각17:00 6
16.2%
07:00 3
 
8.1%
출근시각 07:30+퇴근시각 17:00 3
 
8.1%
출근시각 07:00 + 퇴근시각 17:00 3
 
8.1%
06:00 2
 
5.4%
07:00+17:00 2
 
5.4%
출근시각07:30+퇴근시각17:00 1
 
2.7%
평일 출근시각07:00+퇴근시각 17:00 1
 
2.7%
11:00 1
 
2.7%
Other values (2) 2
 
5.4%

Length

2024-05-10T21:37:24.812904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0:00 13
22.8%
17:00 8
14.0%
출근시각07:00+퇴근시각17:00 6
10.5%
07:00 6
10.5%
출근시각 6
10.5%
07:30+퇴근시각 3
 
5.3%
3
 
5.3%
퇴근시각 3
 
5.3%
06:00 2
 
3.5%
07:00+17:00 2
 
3.5%
Other values (5) 5
 
8.8%

평일종료시각
Categorical

Distinct14
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
23:59
10 
21:00
4 
출근시각10:00+퇴근시각21:00
4 
출근시각 09:30+퇴근시각 20:00
3 
출근시각 10:00 + 퇴근시각 21:00
3 
Other values (9)
13 

Length

Max length23
Median length21
Mean length11.243243
Min length4

Unique

Unique5 ?
Unique (%)13.5%

Sample

1st row23:59:00
2nd row23:59
3rd row출근시각10:00+퇴근시각20:00
4th row출근시각09:30+퇴근시각20:00
5th row출근시각10:00+퇴근시각20:00

Common Values

ValueCountFrequency (%)
23:59 10
27.0%
21:00 4
 
10.8%
출근시각10:00+퇴근시각21:00 4
 
10.8%
출근시각 09:30+퇴근시각 20:00 3
 
8.1%
출근시각 10:00 + 퇴근시각 21:00 3
 
8.1%
출근시각10:00+퇴근시각20:00 2
 
5.4%
22:00 2
 
5.4%
10:00+20:00 2
 
5.4%
0:00 2
 
5.4%
23:59:00 1
 
2.7%
Other values (4) 4
 
10.8%

Length

2024-05-10T21:37:25.265148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59 10
17.5%
21:00 7
12.3%
출근시각 6
10.5%
출근시각10:00+퇴근시각21:00 4
 
7.0%
20:00 4
 
7.0%
10:00 4
 
7.0%
09:30+퇴근시각 3
 
5.3%
3
 
5.3%
퇴근시각 3
 
5.3%
10:00+20:00 2
 
3.5%
Other values (8) 11
19.3%

토요일시작시각
Categorical

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
0:00
17 
00:00
16 
해당없음
3 
11:00
 
1

Length

Max length5
Median length4
Mean length4.4594595
Min length4

Unique

Unique1 ?
Unique (%)2.7%

Sample

1st row0:00
2nd row0:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
0:00 17
45.9%
00:00 16
43.2%
해당없음 3
 
8.1%
11:00 1
 
2.7%

Length

2024-05-10T21:37:25.658085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:37:26.063719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 17
45.9%
00:00 16
43.2%
해당없음 3
 
8.1%
11:00 1
 
2.7%

토요일종료시각
Categorical

Distinct6
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
00:00
16 
23:59
12 
0:00
4 
해당없음
3 
23:59:00
 
1

Length

Max length8
Median length5
Mean length4.8918919
Min length4

Unique

Unique2 ?
Unique (%)5.4%

Sample

1st row23:59:00
2nd row23:59
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 16
43.2%
23:59 12
32.4%
0:00 4
 
10.8%
해당없음 3
 
8.1%
23:59:00 1
 
2.7%
18:00 1
 
2.7%

Length

2024-05-10T21:37:26.486654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:37:26.880491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 16
43.2%
23:59 12
32.4%
0:00 4
 
10.8%
해당없음 3
 
8.1%
23:59:00 1
 
2.7%
18:00 1
 
2.7%

공휴일시작시각
Categorical

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
0:00
17 
00:00
16 
해당없음
3 
11:00
 
1

Length

Max length5
Median length4
Mean length4.4594595
Min length4

Unique

Unique1 ?
Unique (%)2.7%

Sample

1st row0:00
2nd row0:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
0:00 17
45.9%
00:00 16
43.2%
해당없음 3
 
8.1%
11:00 1
 
2.7%

Length

2024-05-10T21:37:27.255395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:37:27.608472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 17
45.9%
00:00 16
43.2%
해당없음 3
 
8.1%
11:00 1
 
2.7%

공휴일종료시각
Categorical

Distinct6
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
00:00
16 
23:59
12 
0:00
4 
해당없음
3 
23:59:00
 
1

Length

Max length8
Median length5
Mean length4.8918919
Min length4

Unique

Unique2 ?
Unique (%)5.4%

Sample

1st row23:59:00
2nd row23:59
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 16
43.2%
23:59 12
32.4%
0:00 4
 
10.8%
해당없음 3
 
8.1%
23:59:00 1
 
2.7%
18:00 1
 
2.7%

Length

2024-05-10T21:37:28.000789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:37:28.378556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 16
43.2%
23:59 12
32.4%
0:00 4
 
10.8%
해당없음 3
 
8.1%
23:59:00 1
 
2.7%
18:00 1
 
2.7%

명절연휴시작시각
Categorical

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
0:00
17 
00:00
16 
해당없음
3 
운영안함
 
1

Length

Max length5
Median length4
Mean length4.4324324
Min length4

Unique

Unique1 ?
Unique (%)2.7%

Sample

1st row0:00
2nd row0:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
0:00 17
45.9%
00:00 16
43.2%
해당없음 3
 
8.1%
운영안함 1
 
2.7%

Length

2024-05-10T21:37:28.791656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:37:29.146888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0:00 17
45.9%
00:00 16
43.2%
해당없음 3
 
8.1%
운영안함 1
 
2.7%

명절연휴종료시각
Categorical

Distinct6
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
00:00
16 
23:59
10 
0:00
6 
해당없음
3 
23:59:00
 
1

Length

Max length8
Median length5
Mean length4.8108108
Min length4

Unique

Unique2 ?
Unique (%)5.4%

Sample

1st row23:59:00
2nd row23:59
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 16
43.2%
23:59 10
27.0%
0:00 6
 
16.2%
해당없음 3
 
8.1%
23:59:00 1
 
2.7%
운영안함 1
 
2.7%

Length

2024-05-10T21:37:29.481519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:37:29.791414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 16
43.2%
23:59 10
27.0%
0:00 6
 
16.2%
해당없음 3
 
8.1%
23:59:00 1
 
2.7%
운영안함 1
 
2.7%

통행가능차량
Categorical

Distinct15
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
버스
6 
9인이상승용차+승합자동차
4 
9인 이상 승용차 + 승합자동차
4 
고속도로 외의 도로에 해당하는 차량
4 
36인승 이상 대형승합차 + 통학용 승합차
3 
Other values (10)
16 

Length

Max length250
Median length58
Mean length48.135135
Min length2

Unique

Unique5 ?
Unique (%)13.5%

Sample

1st row노선버스
2nd row시내 및 시외버스 등 도로교통법 시행령 제9조, 제10조에 의거 중앙버스전용차로 이용 가능 차량
3rd row9인이상승용차+승합자동차
4th row9인이상승용차+승합자동차
5th row9인이상승용차+승합자동차

Common Values

ValueCountFrequency (%)
버스 6
16.2%
9인이상승용차+승합자동차 4
10.8%
9인 이상 승용차 + 승합자동차 4
10.8%
고속도로 외의 도로에 해당하는 차량 4
10.8%
36인승 이상 대형승합차 + 통학용 승합차 3
8.1%
어른 36인승 이상의 대형승합자동차 + 어린이통학버스 3
8.1%
36인승 이상 대형승합자동차+ 36인승 미만 사업용 승합자동차(마을버스)+경찰서장의 신고필증을 교부받아 어린이를 운송할 목적으로 운행중인 어린이 통학버스+지방경찰청장이 노선을 지정하여 운행하는 통학+ 통근용 승합자동차 16인승 이상 승합자동차+ 범죄예방·진압·화재·재해 등 긴급한 사건사고 조사 및 구난작업을 위한 경우+ 도로상의 위험방지 작업을 하는 도로관리용 자동차+ 응급차 등 2
 
5.4%
가. 「자동차관리법」 제3조에 따른 36인승 이상의 대형승합자동차나. 「여객자동차 운수사업법」 제3조 및 같은 법 시행령 제3조제1호에 따른 36인승 미만의 사업용 승합자동차다. 법 제52조에 따라 증명서를 발급받아 어린이를 운송할 목적으로 운행 중인 어린이통학버스라. 대중교통수단으로 이용하기 위한 자율주행자동차로서 「자동차관리법」 제27조제1항 단서에 따라 시험ㆍ연구 목적으로 운행하기 위하여 국토교통부장관의 임시운행허가를 받은 자율주행자동차마 2
 
5.4%
「여객자동차 운수사업법」제3조 및 같은 법 시행령 제3조제1호에 따른 노선여객자동차운송 사업용 승합자동차 2
 
5.4%
간선급행지정버스 2
 
5.4%
Other values (5) 5
13.5%

Length

2024-05-10T21:37:30.201702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
36인승 17
 
4.8%
이상 15
 
4.2%
승합자동차 12
 
3.4%
10
 
2.8%
및 8
 
2.3%
등 7
 
2.0%
목적으로 7
 
2.0%
사업용 7
 
2.0%
대형승합자동차 6
 
1.7%
법 6
 
1.7%
Other values (97) 258
73.1%

버스전용차로속도
Categorical

Distinct6
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
13 
60
10 
50
8 
70
3 
80
2 

Length

Max length4
Median length2
Mean length2.7027027
Min length2

Unique

Unique1 ?
Unique (%)2.7%

Sample

1st row60
2nd row80
3rd row50
4th row60
5th row60

Common Values

ValueCountFrequency (%)
<NA> 13
35.1%
60 10
27.0%
50 8
21.6%
70 3
 
8.1%
80 2
 
5.4%
20 1
 
2.7%

Length

2024-05-10T21:37:30.689298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:37:31.040653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
35.1%
60 10
27.0%
50 8
21.6%
70 3
 
8.1%
80 2
 
5.4%
20 1
 
2.7%

관리기관명
Categorical

Distinct16
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
경기도 부천시청
5 
경기도 용인시청 교통정책과
4 
경기도 수원시 대중교통과
4 
경기도 성남시청
4 
경기도 과천시청
3 
Other values (11)
17 

Length

Max length15
Median length8
Mean length9.6216216
Min length8

Unique

Unique6 ?
Unique (%)16.2%

Sample

1st row경기도 남양주시
2nd row경기도 의정부시청
3rd row경기도 용인시청 교통정책과
4th row경기도 용인시청 교통정책과
5th row경기도 용인시청 교통정책과

Common Values

ValueCountFrequency (%)
경기도 부천시청 5
13.5%
경기도 용인시청 교통정책과 4
10.8%
경기도 수원시 대중교통과 4
10.8%
경기도 성남시청 4
10.8%
경기도 과천시청 3
8.1%
경기도 고양시청 3
8.1%
안양시 만안구청 2
 
5.4%
안양시 동안구청 2
 
5.4%
경기도 하남시청 2
 
5.4%
경기도 김포시청+서울특별시청 2
 
5.4%
Other values (6) 6
16.2%

Length

2024-05-10T21:37:31.473351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 32
39.0%
부천시청 5
 
6.1%
용인시청 4
 
4.9%
교통정책과 4
 
4.9%
수원시 4
 
4.9%
대중교통과 4
 
4.9%
성남시청 4
 
4.9%
안양시 4
 
4.9%
과천시청 3
 
3.7%
고양시청 3
 
3.7%
Other values (11) 15
18.3%

관리기관전화번호
Categorical

Distinct15
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
032-625-9424
5 
031-324-3328
4 
031-228-3824
4 
031-729-8622
4 
02-3677-2282
3 
Other values (10)
17 

Length

Max length13
Median length12
Mean length12.216216
Min length12

Unique

Unique5 ?
Unique (%)13.5%

Sample

1st row031-590-4717
2nd row031-828-4832
3rd row031-324-3328
4th row031-324-3328
5th row031-324-3328

Common Values

ValueCountFrequency (%)
032-625-9424 5
13.5%
031-324-3328 4
10.8%
031-228-3824 4
10.8%
031-729-8622 4
10.8%
02-3677-2282 3
8.1%
031-980-2465 3
8.1%
031-8075-3832 3
8.1%
031-8045-3866 2
 
5.4%
031-8045-4367 2
 
5.4%
031-790-6270 2
 
5.4%
Other values (5) 5
13.5%

Length

2024-05-10T21:37:31.886326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
032-625-9424 5
13.5%
031-324-3328 4
10.8%
031-228-3824 4
10.8%
031-729-8622 4
10.8%
02-3677-2282 3
8.1%
031-980-2465 3
8.1%
031-8075-3832 3
8.1%
031-8045-3866 2
 
5.4%
031-8045-4367 2
 
5.4%
031-790-6270 2
 
5.4%
Other values (5) 5
13.5%

데이터기준일자
Categorical

Distinct14
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-01-08
5 
2023-07-07
4 
2023-06-03
4 
2023-08-31
4 
2023-06-22
4 
Other values (9)
16 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique5 ?
Unique (%)13.5%

Sample

1st row2023-05-11
2nd row2023-02-27
3rd row2023-07-07
4th row2023-07-07
5th row2023-07-07

Common Values

ValueCountFrequency (%)
2024-01-08 5
13.5%
2023-07-07 4
10.8%
2023-06-03 4
10.8%
2023-08-31 4
10.8%
2023-06-22 4
10.8%
2023-06-29 3
8.1%
2023-05-22 3
8.1%
2022-12-15 3
8.1%
2023-12-01 2
 
5.4%
2023-05-11 1
 
2.7%
Other values (4) 4
10.8%

Length

2024-05-10T21:37:32.278310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2024-01-08 5
13.5%
2023-07-07 4
10.8%
2023-06-03 4
10.8%
2023-08-31 4
10.8%
2023-06-22 4
10.8%
2023-06-29 3
8.1%
2023-05-22 3
8.1%
2022-12-15 3
8.1%
2023-12-01 2
 
5.4%
2023-05-11 1
 
2.7%
Other values (4) 4
10.8%

Sample

시도명시군구명도로종류도로노선번호도로노선명차로수버스전용차로기점명버스전용차로종점명버스전용차로기점위도버스전용차로기점경도버스전용차로종점위도버스전용차로종점경도버스전용차로총연장버스전용차로종류버스전용차로지정해제여부시행일자운영시간구분평일시작시각평일종료시각토요일시작시각토요일종료시각공휴일시작시각공휴일종료시각명절연휴시작시각명절연휴종료시각통행가능차량버스전용차로속도관리기관명관리기관전화번호데이터기준일자
0경기도남양주시일반국도6번경춘로6구리시계도농삼거리37.604145127.14928137.612617127.1717832.31Y2010-06-0710:0023:59:000:0023:59:000:0023:59:000:0023:59:00노선버스60경기도 남양주시031-590-47172023-05-11
1경기도의정부시시도없음서계로+동일로+신평화로8장암고가호장교북단37.724082127.06404137.701244127.0491454.41Y2018-09-2810:0023:590:0023:590:0023:590:0023:59시내 및 시외버스 등 도로교통법 시행령 제9조, 제10조에 의거 중앙버스전용차로 이용 가능 차량80경기도 의정부시청031-828-48322023-02-27
2경기도용인시일반국도42중부대로1삼성삼거리수원신갈IC37.268172127.06949237.266339127.1039272.22Y2006-12-112출근시각07:00+퇴근시각17:00출근시각10:00+퇴근시각20:0000:0000:0000:0000:0000:0000:009인이상승용차+승합자동차50경기도 용인시청 교통정책과031-324-33282023-07-07
3경기도용인시시도1용구대로1벽산APT보정삼거리37.335968127.10895137.306663127.1059162.42Y2006-12-202출근시각07:30+퇴근시각17:00출근시각09:30+퇴근시각20:0000:0000:0000:0000:0000:0000:009인이상승용차+승합자동차60경기도 용인시청 교통정책과031-324-33282023-07-07
4경기도용인시일반국도42중부대로1기흥역수원신갈IC37.276005127.11593437.269779127.1001831.62Y2012-01-302출근시각07:00+퇴근시각17:00출근시각10:00+퇴근시각20:0000:0000:0000:0000:0000:0000:009인이상승용차+승합자동차60경기도 용인시청 교통정책과031-324-33282023-07-07
5경기도용인시시도2-1서천로1서천사거리서천로201번길37.247576127.07577137.232336127.0703281.642Y2014-07-07206:0022:0000:0000:0000:0000:0000:0000:009인이상승용차+승합자동차50경기도 용인시청 교통정책과031-324-33282023-07-07
6경기도과천시일반국도47과천대로8인덕원사거리갈현삼거리37.403086126.97749537.417669126.9868621.72Y2002-01-01207:0021:00해당없음해당없음해당없음해당없음해당없음해당없음36인승 이상 대형승합자동차+ 36인승 미만 사업용 승합자동차(마을버스)+경찰서장의 신고필증을 교부받아 어린이를 운송할 목적으로 운행중인 어린이 통학버스+지방경찰청장이 노선을 지정하여 운행하는 통학+ 통근용 승합자동차 16인승 이상 승합자동차+ 범죄예방·진압·화재·재해 등 긴급한 사건사고 조사 및 구난작업을 위한 경우+ 도로상의 위험방지 작업을 하는 도로관리용 자동차+ 응급차 등60경기도 과천시청02-3677-22822023-06-29
7경기도과천시시도1중앙로6갈현삼거리관문사거리37.417669126.98686237.446021126.9957213.62Y2002-01-01207:0021:00해당없음해당없음해당없음해당없음해당없음해당없음36인승 이상 대형승합자동차+ 36인승 미만 사업용 승합자동차(마을버스)+경찰서장의 신고필증을 교부받아 어린이를 운송할 목적으로 운행중인 어린이 통학버스+지방경찰청장이 노선을 지정하여 운행하는 통학+ 통근용 승합자동차 16인승 이상 승합자동차+ 범죄예방·진압·화재·재해 등 긴급한 사건사고 조사 및 구난작업을 위한 경우+ 도로상의 위험방지 작업을 하는 도로관리용 자동차+ 응급차 등60경기도 과천시청02-3677-22822023-06-29
8경기도과천시일반국도47과천대로8관문사거리남태령정상37.446021126.99572137.457928126.9887511.42Y2002-01-01207:0021:00해당없음해당없음해당없음해당없음해당없음해당없음36인승 이상 대형승합자동차+ 36인승 미만 사업용 승합자동차(마을버스)+경찰서장의 신고필증을 교부받아 어린이를 운송할 목적으로 운행중인 어린이 통학버스+ 지방경찰청장이 노선을 지정하여 운행하는 통학+ 통근용 승합자동차 16인승 이상 승합자동차+ 범죄예방·진압·화재·재해 등 긴급한 사건사고 조사 및 구난작업을 위한 경우+ 도로상의 위험방지 작업을 하는 도로관리용 자동차+ 응급차 등60경기도 과천시청02-3677-22822023-06-29
9경기도안성시일반국도38호선서동대로6용이1교차로안성IC36.99412127.13354136.997553127.1509271.12Y2017-11-012평일 출근시각07:00+퇴근시각 17:00평일 출근시각10:00+퇴근시각 20:0000:0000:0000:0000:0000:0000:0036인 이상 승합차+버스+어린이통학버스80경기도 안성시청031-678-28022023-06-27
시도명시군구명도로종류도로노선번호도로노선명차로수버스전용차로기점명버스전용차로종점명버스전용차로기점위도버스전용차로기점경도버스전용차로종점위도버스전용차로종점경도버스전용차로총연장버스전용차로종류버스전용차로지정해제여부시행일자운영시간구분평일시작시각평일종료시각토요일시작시각토요일종료시각공휴일시작시각공휴일종료시각명절연휴시작시각명절연휴종료시각통행가능차량버스전용차로속도관리기관명관리기관전화번호데이터기준일자
27경기도부천시 소사구일반국도46번경인로 (상행)3송내동유한대학37.483304126.75650837.488155126.8212113.41Y1998-04-01<NA>7:0010:000:0023:590:0023:590:0023:59버스50경기도 부천시청032-625-94242024-01-08
28경기도부천시 소사구일반국도46번경인로 (하행)3유한대학송내동37.488155126.82120937.483304126.7565113.41Y2003-12-01<NA>17:0021:000:0023:590:0023:590:0023:59버스50경기도 부천시청032-625-94242024-01-08
29경기도부천시 원미구시도<NA>송내역환승센터1극동아파트사거리솔안공원사거리37.488624126.75120737.488301126.7564110.491Y2015-11-01<NA>0:0023:590:0023:590:0023:590:0023:59버스20경기도 부천시청032-625-94242024-01-08
30경기도부천시 오정구시도<NA>봉오대로 (서울방향)4굴포천고강지하차도37.531846126.76049437.539151126.8206112.9599Y2017-01-01<NA>0:0023:590:0023:590:0023:590:0023:59간선급행지정버스50경기도 부천시청032-625-94242024-01-08
31경기도김포시일반국도48호선김포대로8사우삼거리신곡사거리37.610991126.73662837.600594126.7707155.22Y2014-01-012출근시각 07:00 + 퇴근시각 17:00출근시각 10:00 + 퇴근시각 21:0000:0000:0000:0000:0000:0000:0036인승 이상 대형승합차 + 통학용 승합차70경기도 김포시청031-980-24652023-05-22
32경기도김포시일반국도48호선김포대로8신곡사거리개화역37.599791126.77171237.583281126.7981713.41Y2022-01-032출근시각 07:00 + 퇴근시각 17:00출근시각 10:00 + 퇴근시각 21:0000:0000:0000:0000:0000:0000:0036인승 이상 대형승합차 + 통학용 승합차70경기도 김포시청+서울특별시청031-980-24652023-05-22
33경기도고양시시도79호선권율대로6원흥역삼송동(17단지)37.650263126.87509337.652061126.8880851.21Y2021-12-1010:000:000:000:000:000:000:000:00어른 36인승 이상의 대형승합자동차 + 어린이통학버스<NA>경기도 고양시청031-8075-38322022-12-15
34경기도고양시시도79호선권율대로6행신동(행신지하차도)원흥역37.615687126.84868137.650263126.8750934.41Y2018-06-0110:000:000:000:000:000:000:000:00어른 36인승 이상의 대형승합자동차 + 어린이통학버스<NA>경기도 고양시청031-8075-38322022-12-15
35경기도고양시시도74호선중앙로6덕은동(서울경계지점)대화동 고양종합경기장37.675596126.88252937.675721126.74847115.61N2006-10-2710:0023:590:0023:590:0023:590:0023:59어른 36인승 이상의 대형승합자동차 + 어린이통학버스<NA>경기도 고양시청031-8075-38322022-12-15
36경기도김포시일반국도48호선김포대로8개화역김포공항37.583072126.79837937.564592126.8060432.01Y2023-05-262출근시각 07:00 + 퇴근시각 17:00출근시각 10:00 + 퇴근시각 21:0000:0000:0000:0000:0000:0000:0036인승 이상 대형승합차 + 통학용 승합차70경기도 김포시청+서울특별시청031-980-24652023-05-22