Overview

Dataset statistics

Number of variables30
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.4 KiB
Average record size in memory253.1 B

Variable types

Categorical23
Text2
Numeric4
Boolean1

Dataset

Description대구광역시_버스전용차로정보_20190530
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15029814&dataSetDetailId=150298141c749a4e8da88_201906251024&provdMethod=FILE

Alerts

시도명 has constant value ""Constant
도로종류 has constant value ""Constant
버스전용차로지정해제여부 has constant value ""Constant
통행가능차량 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
버스전용차로종류 is highly imbalanced (72.4%)Imbalance
운영시간구분 is highly imbalanced (72.4%)Imbalance
평일시작시각 is highly imbalanced (54.4%)Imbalance
평일종료시각 is highly imbalanced (54.4%)Imbalance
토요일시작시각 is highly imbalanced (72.4%)Imbalance
토요일종료시각 is highly imbalanced (72.4%)Imbalance
공휴일시작시각 is highly imbalanced (72.4%)Imbalance
공휴일종료시각 is highly imbalanced (72.4%)Imbalance
명절연휴시작시각 is highly imbalanced (72.4%)Imbalance
명절연휴종료시각 is highly imbalanced (72.4%)Imbalance
버스전용차로기점위도 has unique valuesUnique
버스전용차로기점경도 has unique valuesUnique
버스전용차로종점위도 has unique valuesUnique
버스전용차로종점경도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:58:44.749258
Analysis finished2023-12-10 17:58:45.269233
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
3
42 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 42
100.0%

Length

2023-12-11T02:58:45.395165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:46.037114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 42
100.0%

시군구명
Categorical

Distinct15
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size468.0 B
수성구
8 
서구
4 
중구, 남구
4 
동구
4 
중구, 동구, 수성구
 
2
Other values (10)
20 

Length

Max length11
Median length7
Mean length4.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중구, 동구, 수성구
2nd row중구, 동구, 수성구
3rd row중구, 서구
4th row중구, 서구
5th row수성구

Common Values

ValueCountFrequency (%)
수성구 8
19.0%
서구 4
 
9.5%
중구, 남구 4
 
9.5%
동구 4
 
9.5%
중구, 동구, 수성구 2
 
4.8%
중구, 서구 2
 
4.8%
서구, 달서구 2
 
4.8%
서구, 북구 2
 
4.8%
동구, 북구 2
 
4.8%
중구 2
 
4.8%
Other values (5) 10
23.8%

Length

2023-12-11T02:58:46.245768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수성구 12
19.4%
서구 10
16.1%
중구 10
16.1%
동구 10
16.1%
남구 8
12.9%
달서구 6
9.7%
북구 6
9.7%

도로종류
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
3
42 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 42
100.0%

Length

2023-12-11T02:58:46.459754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:46.635469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 42
100.0%

도로노선번호
Categorical

Distinct17
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
광로2-1
6 
광로1-1
4 
대로2-5
4 
대로2-10
 
2
대로1-4
 
2
Other values (12)
24 

Length

Max length11
Median length5
Mean length6.1904762
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대로2-1
2nd row대로2-1
3rd row대로1-7대로2-1
4th row대로1-7대로2-1
5th row광로2-1

Common Values

ValueCountFrequency (%)
광로2-1 6
14.3%
광로1-1 4
 
9.5%
대로2-5 4
 
9.5%
대로2-10 2
 
4.8%
대로1-4 2
 
4.8%
대로1-9대로2-3 2
 
4.8%
대로1-14대로2-8 2
 
4.8%
대로2-2 2
 
4.8%
대로1-7대로2-1 2
 
4.8%
광로3-2 2
 
4.8%
Other values (7) 14
33.3%

Length

2023-12-11T02:58:46.876200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
광로2-1 6
14.3%
대로2-5 4
 
9.5%
광로1-1 4
 
9.5%
광로3-4 2
 
4.8%
대로2-1 2
 
4.8%
대로1-3 2
 
4.8%
광로3-1대로2-24 2
 
4.8%
대로1-12 2
 
4.8%
대로2-19 2
 
4.8%
대로1-7대로2-1 2
 
4.8%
Other values (7) 14
33.3%

도로노선명
Categorical

Distinct16
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
달구벌대로
6 
국채보상로
4 
동대구로
4 
중앙대로
4 
서대구로
 
2
Other values (11)
22 

Length

Max length6
Median length5
Mean length3.8571429
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국채보상로
2nd row국채보상로
3rd row국채보상로
4th row국채보상로
5th row달구벌대로

Common Values

ValueCountFrequency (%)
달구벌대로 6
14.3%
국채보상로 4
 
9.5%
동대구로 4
 
9.5%
중앙대로 4
 
9.5%
서대구로 2
 
4.8%
팔달로 2
 
4.8%
아양로신암로 2
 
4.8%
태평로 2
 
4.8%
명덕로 2
 
4.8%
성당로 2
 
4.8%
Other values (6) 12
28.6%

Length

2023-12-11T02:58:47.124748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
달구벌대로 6
14.3%
국채보상로 4
 
9.5%
동대구로 4
 
9.5%
중앙대로 4
 
9.5%
서대구로 2
 
4.8%
팔달로 2
 
4.8%
아양로신암로 2
 
4.8%
태평로 2
 
4.8%
명덕로 2
 
4.8%
성당로 2
 
4.8%
Other values (6) 12
28.6%

차로수
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
3
18 
4
14 
5
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row4
4th row4
5th row5

Common Values

ValueCountFrequency (%)
3 18
42.9%
4 14
33.3%
5 10
23.8%

Length

2023-12-11T02:58:47.367310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:47.556293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 18
42.9%
4 14
33.3%
5 10
23.8%

버스전용차로기점명
Text

Distinct32
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T02:58:47.914129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.3095238
Min length3

Characters and Unicode

Total characters223
Distinct characters60
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)57.1%

Sample

1st rowMBC네거리
2nd row종각네거리
3rd row신평리네거리
4th row서성네거리
5th row만촌네거리
ValueCountFrequency (%)
mbc네거리 3
 
7.1%
성당네거리 3
 
7.1%
입석네거리 2
 
4.8%
만촌네거리 2
 
4.8%
반고개네거리 2
 
4.8%
두류네거리 2
 
4.8%
영대병원네거리 2
 
4.8%
원대오거리 2
 
4.8%
반야월삼거리 1
 
2.4%
상인네거리 1
 
2.4%
Other values (22) 22
52.4%
2023-12-11T02:58:48.551548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 37
16.6%
거 36
16.1%
네 32
 
14.3%
성 8
 
3.6%
대 8
 
3.6%
당 5
 
2.2%
C 4
 
1.8%
구 4
 
1.8%
동 4
 
1.8%
교 4
 
1.8%
Other values (50) 81
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 212
95.1%
Uppercase Letter 11
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 37
17.5%
거 36
17.0%
네 32
15.1%
성 8
 
3.8%
대 8
 
3.8%
당 5
 
2.4%
구 4
 
1.9%
동 4
 
1.9%
교 4
 
1.9%
반 4
 
1.9%
Other values (46) 70
33.0%
Uppercase Letter
ValueCountFrequency (%)
C 4
36.4%
M 3
27.3%
B 3
27.3%
I 1
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 212
95.1%
Latin 11
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 37
17.5%
거 36
17.0%
네 32
15.1%
성 8
 
3.8%
대 8
 
3.8%
당 5
 
2.4%
구 4
 
1.9%
동 4
 
1.9%
교 4
 
1.9%
반 4
 
1.9%
Other values (46) 70
33.0%
Latin
ValueCountFrequency (%)
C 4
36.4%
M 3
27.3%
B 3
27.3%
I 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 212
95.1%
ASCII 11
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 37
17.5%
거 36
17.0%
네 32
15.1%
성 8
 
3.8%
대 8
 
3.8%
당 5
 
2.4%
구 4
 
1.9%
동 4
 
1.9%
교 4
 
1.9%
반 4
 
1.9%
Other values (46) 70
33.0%
ASCII
ValueCountFrequency (%)
C 4
36.4%
M 3
27.3%
B 3
27.3%
I 1
 
9.1%

버스전용차로종점명
Text

Distinct32
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T02:58:49.000973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.3095238
Min length3

Characters and Unicode

Total characters223
Distinct characters60
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)57.1%

Sample

1st row종각네거리
2nd rowMBC네거리
3rd row서성네거리
4th row신평리네거리
5th row담티고가교
ValueCountFrequency (%)
mbc네거리 3
 
7.1%
성당네거리 3
 
7.1%
반고개네거리 2
 
4.8%
영대병원네거리 2
 
4.8%
만촌네거리 2
 
4.8%
입석네거리 2
 
4.8%
두류네거리 2
 
4.8%
원대오거리 2
 
4.8%
중동네거리 1
 
2.4%
두산오거리 1
 
2.4%
Other values (22) 22
52.4%
2023-12-11T02:58:49.711109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 37
16.6%
거 36
16.1%
네 32
 
14.3%
성 8
 
3.6%
대 8
 
3.6%
당 5
 
2.2%
구 4
 
1.8%
C 4
 
1.8%
반 4
 
1.8%
교 4
 
1.8%
Other values (50) 81
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 212
95.1%
Uppercase Letter 11
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 37
17.5%
거 36
17.0%
네 32
15.1%
성 8
 
3.8%
대 8
 
3.8%
당 5
 
2.4%
구 4
 
1.9%
반 4
 
1.9%
교 4
 
1.9%
동 4
 
1.9%
Other values (46) 70
33.0%
Uppercase Letter
ValueCountFrequency (%)
C 4
36.4%
M 3
27.3%
B 3
27.3%
I 1
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 212
95.1%
Latin 11
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 37
17.5%
거 36
17.0%
네 32
15.1%
성 8
 
3.8%
대 8
 
3.8%
당 5
 
2.4%
구 4
 
1.9%
반 4
 
1.9%
교 4
 
1.9%
동 4
 
1.9%
Other values (46) 70
33.0%
Latin
ValueCountFrequency (%)
C 4
36.4%
M 3
27.3%
B 3
27.3%
I 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 212
95.1%
ASCII 11
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 37
17.5%
거 36
17.0%
네 32
15.1%
성 8
 
3.8%
대 8
 
3.8%
당 5
 
2.4%
구 4
 
1.9%
반 4
 
1.9%
교 4
 
1.9%
동 4
 
1.9%
Other values (46) 70
33.0%
ASCII
ValueCountFrequency (%)
C 4
36.4%
M 3
27.3%
B 3
27.3%
I 1
 
9.1%

버스전용차로기점위도
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.865101
Minimum35.818956
Maximum35.918286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T02:58:50.046926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.818956
5-th percentile35.837346
Q135.857242
median35.866027
Q335.877135
95-th percentile35.891779
Maximum35.918286
Range0.09933
Interquartile range (IQR)0.01989325

Descriptive statistics

Standard deviation0.019286615
Coefficient of variation (CV)0.00053775438
Kurtosis0.59137396
Mean35.865101
Median Absolute Deviation (MAD)0.011011
Skewness0.039155746
Sum1506.3342
Variance0.00037197351
MonotonicityNot monotonic
2023-12-11T02:58:50.458858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
35.867158 1
 
2.4%
35.841031 1
 
2.4%
35.887397 1
 
2.4%
35.862394 1
 
2.4%
35.886692 1
 
2.4%
35.877931 1
 
2.4%
35.845461 1
 
2.4%
35.8653 1
 
2.4%
35.876483 1
 
2.4%
35.866825 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
35.818956 1
2.4%
35.8304 1
2.4%
35.837331 1
2.4%
35.837639 1
2.4%
35.837908 1
2.4%
35.841031 1
2.4%
35.845275 1
2.4%
35.845461 1
2.4%
35.848736 1
2.4%
35.853328 1
2.4%
ValueCountFrequency (%)
35.918286 1
2.4%
35.891931 1
2.4%
35.8919 1
2.4%
35.889478 1
2.4%
35.887689 1
2.4%
35.887397 1
2.4%
35.886692 1
2.4%
35.881119 1
2.4%
35.877931 1
2.4%
35.877533 1
2.4%

버스전용차로기점경도
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.59941
Minimum128.52726
Maximum128.6876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T02:58:50.735002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.52726
5-th percentile128.54814
Q1128.5727
median128.59655
Q3128.62634
95-th percentile128.64636
Maximum128.6876
Range0.160342
Interquartile range (IQR)0.0536475

Descriptive statistics

Standard deviation0.036314579
Coefficient of variation (CV)0.00028238527
Kurtosis-0.49638351
Mean128.59941
Median Absolute Deviation (MAD)0.0295305
Skewness0.15094483
Sum5401.1751
Variance0.0013187486
MonotonicityNot monotonic
2023-12-11T02:58:50.986788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
128.626122 1
 
2.4%
128.612361 1
 
2.4%
128.575675 1
 
2.4%
128.572036 1
 
2.4%
128.597853 1
 
2.4%
128.595239 1
 
2.4%
128.590583 1
 
2.4%
128.593339 1
 
2.4%
128.644669 1
 
2.4%
128.627189 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
128.527261 1
2.4%
128.538169 1
2.4%
128.547764 1
2.4%
128.555214 1
2.4%
128.557192 1
2.4%
128.557414 1
2.4%
128.557817 1
2.4%
128.557922 1
2.4%
128.561867 1
2.4%
128.572036 1
2.4%
ValueCountFrequency (%)
128.687603 1
2.4%
128.658597 1
2.4%
128.646408 1
2.4%
128.645461 1
2.4%
128.644669 1
2.4%
128.643725 1
2.4%
128.643411 1
2.4%
128.640553 1
2.4%
128.627189 1
2.4%
128.626661 1
2.4%

버스전용차로종점위도
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.865094
Minimum35.819083
Maximum35.918336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T02:58:51.308181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.819083
5-th percentile35.837335
Q135.857116
median35.865992
Q335.877197
95-th percentile35.891729
Maximum35.918336
Range0.099253
Interquartile range (IQR)0.0200815

Descriptive statistics

Standard deviation0.019276831
Coefficient of variation (CV)0.0005374817
Kurtosis0.59079806
Mean35.865094
Median Absolute Deviation (MAD)0.0110885
Skewness0.045029314
Sum1506.3339
Variance0.00037159623
MonotonicityNot monotonic
2023-12-11T02:58:51.582700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
35.869192 1
 
2.4%
35.859458 1
 
2.4%
35.862367 1
 
2.4%
35.887372 1
 
2.4%
35.877961 1
 
2.4%
35.886653 1
 
2.4%
35.865292 1
 
2.4%
35.845469 1
 
2.4%
35.866933 1
 
2.4%
35.876347 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
35.819083 1
2.4%
35.830425 1
2.4%
35.837311 1
2.4%
35.837786 1
2.4%
35.837925 1
2.4%
35.841047 1
2.4%
35.845172 1
2.4%
35.845469 1
2.4%
35.848933 1
2.4%
35.853025 1
2.4%
ValueCountFrequency (%)
35.918336 1
2.4%
35.892006 1
2.4%
35.89185 1
2.4%
35.889439 1
2.4%
35.887572 1
2.4%
35.887372 1
2.4%
35.886653 1
2.4%
35.881164 1
2.4%
35.877961 1
2.4%
35.877642 1
2.4%

버스전용차로종점경도
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.59745
Minimum128.52725
Maximum128.68839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T02:58:51.839503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.52725
5-th percentile128.54825
Q1128.57201
median128.59429
Q3128.62622
95-th percentile128.64658
Maximum128.68839
Range0.161136
Interquartile range (IQR)0.05421025

Descriptive statistics

Standard deviation0.036338088
Coefficient of variation (CV)0.00028257237
Kurtosis-0.4218401
Mean128.59745
Median Absolute Deviation (MAD)0.0319095
Skewness0.25443091
Sum5401.0931
Variance0.0013204566
MonotonicityNot monotonic
2023-12-11T02:58:52.098327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
128.604281 1
 
2.4%
128.614142 1
 
2.4%
128.571903 1
 
2.4%
128.575808 1
 
2.4%
128.595122 1
 
2.4%
128.597997 1
 
2.4%
128.593456 1
 
2.4%
128.590422 1
 
2.4%
128.627178 1
 
2.4%
128.644753 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
128.52725 1
2.4%
128.5381 1
2.4%
128.547883 1
2.4%
128.555194 1
2.4%
128.557275 1
2.4%
128.557283 1
2.4%
128.557381 1
2.4%
128.5577 1
2.4%
128.55795 1
2.4%
128.562042 1
2.4%
ValueCountFrequency (%)
128.688386 1
2.4%
128.658556 1
2.4%
128.64665 1
2.4%
128.645289 1
2.4%
128.644753 1
2.4%
128.643817 1
2.4%
128.643533 1
2.4%
128.627178 1
2.4%
128.626994 1
2.4%
128.626306 1
2.4%

버스전용차로총연장
Categorical

Distinct17
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
2,000 m
6 
3,000 m
4 
4,000 m
4 
2,900 m
 
2
1,400 m
 
2
Other values (12)
24 

Length

Max length7
Median length7
Mean length6.9047619
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2,000 m
2nd row2,000 m
3rd row3,000 m
4th row3,000 m
5th row1,400 m

Common Values

ValueCountFrequency (%)
2,000 m 6
14.3%
3,000 m 4
 
9.5%
4,000 m 4
 
9.5%
2,900 m 2
 
4.8%
1,400 m 2
 
4.8%
3,300 m 2
 
4.8%
3,500 m 2
 
4.8%
5,200 m 2
 
4.8%
1,800 m 2
 
4.8%
2,300 m 2
 
4.8%
Other values (7) 14
33.3%

Length

2023-12-11T02:58:52.386177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
m 42
50.0%
2,000 6
 
7.1%
3,000 4
 
4.8%
4,000 4
 
4.8%
4,100 2
 
2.4%
1,500 2
 
2.4%
4,500 2
 
2.4%
3,200 2
 
2.4%
2,800 2
 
2.4%
2,100 2
 
2.4%
Other values (8) 16
 
19.0%

버스전용차로종류
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
2
40 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 40
95.2%
1 2
 
4.8%

Length

2023-12-11T02:58:52.633485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:52.854673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 40
95.2%
1 2
 
4.8%

버스전용차로지정해제여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size174.0 B
True
42 
ValueCountFrequency (%)
True 42
100.0%
2023-12-11T02:58:53.071562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시행일자
Categorical

Distinct13
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
1998-01-20
8 
1994-09-22
6 
1994-12-20
6 
1993-07-20
4 
1991-12-26
2 
Other values (8)
16 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1991-12-26
2nd row1991-12-26
3rd row1992-12-15
4th row1992-12-15
5th row2002-06-01

Common Values

ValueCountFrequency (%)
1998-01-20 8
19.0%
1994-09-22 6
14.3%
1994-12-20 6
14.3%
1993-07-20 4
9.5%
1991-12-26 2
 
4.8%
1992-12-15 2
 
4.8%
2002-06-01 2
 
4.8%
2006-02-19 2
 
4.8%
1993-09-20 2
 
4.8%
1994-01-01 2
 
4.8%
Other values (3) 6
14.3%

Length

2023-12-11T02:58:53.262052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1998-01-20 8
19.0%
1994-09-22 6
14.3%
1994-12-20 6
14.3%
1993-07-20 4
9.5%
1991-12-26 2
 
4.8%
1992-12-15 2
 
4.8%
2002-06-01 2
 
4.8%
2006-02-19 2
 
4.8%
1993-09-20 2
 
4.8%
1994-01-01 2
 
4.8%
Other values (3) 6
14.3%

운영시간구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
2
40 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 40
95.2%
1 2
 
4.8%

Length

2023-12-11T02:58:53.564288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:53.747869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 40
95.2%
1 2
 
4.8%

평일시작시각
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
07:00, 17:30
36 
1899-12-31
4 
24시간
 
2

Length

Max length12
Median length12
Mean length11.428571
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07:00, 17:30
2nd row07:00, 17:30
3rd row07:00, 17:30
4th row07:00, 17:30
5th row07:00, 17:30

Common Values

ValueCountFrequency (%)
07:00, 17:30 36
85.7%
1899-12-31 4
 
9.5%
24시간 2
 
4.8%

Length

2023-12-11T02:58:53.966967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:54.175146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07:00 36
46.2%
17:30 36
46.2%
1899-12-31 4
 
5.1%
24시간 2
 
2.6%

평일종료시각
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
09:00, 19:30
36 
1899-12-31
4 
24시간
 
2

Length

Max length12
Median length12
Mean length11.428571
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09:00, 19:30
2nd row09:00, 19:30
3rd row09:00, 19:30
4th row09:00, 19:30
5th row09:00, 19:30

Common Values

ValueCountFrequency (%)
09:00, 19:30 36
85.7%
1899-12-31 4
 
9.5%
24시간 2
 
4.8%

Length

2023-12-11T02:58:54.391599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:54.615330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 36
46.2%
19:30 36
46.2%
1899-12-31 4
 
5.1%
24시간 2
 
2.6%

토요일시작시각
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
-
40 
24시간
 
2

Length

Max length4
Median length1
Mean length1.1428571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 40
95.2%
24시간 2
 
4.8%

Length

2023-12-11T02:58:54.847979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:55.049561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40
95.2%
24시간 2
 
4.8%

토요일종료시각
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
-
40 
24시간
 
2

Length

Max length4
Median length1
Mean length1.1428571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 40
95.2%
24시간 2
 
4.8%

Length

2023-12-11T02:58:55.301911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:55.524322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40
95.2%
24시간 2
 
4.8%

공휴일시작시각
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
-
40 
24시간
 
2

Length

Max length4
Median length1
Mean length1.1428571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 40
95.2%
24시간 2
 
4.8%

Length

2023-12-11T02:58:55.736181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:55.936168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40
95.2%
24시간 2
 
4.8%

공휴일종료시각
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
-
40 
24시간
 
2

Length

Max length4
Median length1
Mean length1.1428571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 40
95.2%
24시간 2
 
4.8%

Length

2023-12-11T02:58:56.137144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:56.350841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40
95.2%
24시간 2
 
4.8%

명절연휴시작시각
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
-
40 
24시간
 
2

Length

Max length4
Median length1
Mean length1.1428571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 40
95.2%
24시간 2
 
4.8%

Length

2023-12-11T02:58:56.579358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:56.795940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40
95.2%
24시간 2
 
4.8%

명절연휴종료시각
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
-
40 
24시간
 
2

Length

Max length4
Median length1
Mean length1.1428571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 40
95.2%
24시간 2
 
4.8%

Length

2023-12-11T02:58:57.071419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:57.287690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40
95.2%
24시간 2
 
4.8%

통행가능차량
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
도로교통법 시행령 [별표1]에 규정된 차량
42 

Length

Max length23
Median length23
Mean length23
Min length23

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도로교통법 시행령 [별표1]에 규정된 차량
2nd row도로교통법 시행령 [별표1]에 규정된 차량
3rd row도로교통법 시행령 [별표1]에 규정된 차량
4th row도로교통법 시행령 [별표1]에 규정된 차량
5th row도로교통법 시행령 [별표1]에 규정된 차량

Common Values

ValueCountFrequency (%)
도로교통법 시행령 [별표1]에 규정된 차량 42
100.0%

Length

2023-12-11T02:58:57.501908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:57.736425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로교통법 42
20.0%
시행령 42
20.0%
별표1]에 42
20.0%
규정된 42
20.0%
차량 42
20.0%

버스전용차로속도
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
60
34 
70
8 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row60
2nd row60
3rd row60
4th row60
5th row70

Common Values

ValueCountFrequency (%)
60 34
81.0%
70 8
 
19.0%

Length

2023-12-11T02:58:58.028830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:58.318662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60 34
81.0%
70 8
 
19.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
대구광역시 버스운영과
42 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 버스운영과
2nd row대구광역시 버스운영과
3rd row대구광역시 버스운영과
4th row대구광역시 버스운영과
5th row대구광역시 버스운영과

Common Values

ValueCountFrequency (%)
대구광역시 버스운영과 42
100.0%

Length

2023-12-11T02:58:58.802579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:58:59.171948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 42
50.0%
버스운영과 42
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
053-803-6542
42 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-803-6542
2nd row053-803-6542
3rd row053-803-6542
4th row053-803-6542
5th row053-803-6542

Common Values

ValueCountFrequency (%)
053-803-6542 42
100.0%

Length

2023-12-11T02:58:59.865998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:59:00.214811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-803-6542 42
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
2019-05-31
42 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-05-31
2nd row2019-05-31
3rd row2019-05-31
4th row2019-05-31
5th row2019-05-31

Common Values

ValueCountFrequency (%)
2019-05-31 42
100.0%

Length

2023-12-11T02:59:00.542718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:59:00.822317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-05-31 42
100.0%

Sample

시도명시군구명도로종류도로노선번호도로노선명차로수버스전용차로기점명버스전용차로종점명버스전용차로기점위도버스전용차로기점경도버스전용차로종점위도버스전용차로종점경도버스전용차로총연장버스전용차로종류버스전용차로지정해제여부시행일자운영시간구분평일시작시각평일종료시각토요일시작시각토요일종료시각공휴일시작시각공휴일종료시각명절연휴시작시각명절연휴종료시각통행가능차량버스전용차로속도관리기관명관리기관전화번호데이터기준일자
03중구, 동구, 수성구3대로2-1국채보상로3MBC네거리종각네거리35.867158128.62612235.869192128.6042812,000 m2Y1991-12-26207:00, 17:3009:00, 19:30------도로교통법 시행령 [별표1]에 규정된 차량60대구광역시 버스운영과053-803-65422019-05-31
13중구, 동구, 수성구3대로2-1국채보상로3종각네거리MBC네거리35.869072128.60424735.866967128.6262362,000 m2Y1991-12-26207:00, 17:3009:00, 19:30------도로교통법 시행령 [별표1]에 규정된 차량60대구광역시 버스운영과053-803-65422019-05-31
23중구, 서구3대로1-7대로2-1국채보상로4신평리네거리서성네거리35.870408128.55521435.869994128.5870173,000 m2Y1992-12-15207:00, 17:3009:00, 19:30------도로교통법 시행령 [별표1]에 규정된 차량60대구광역시 버스운영과053-803-65422019-05-31
33중구, 서구3대로1-7대로2-1국채보상로4서성네거리신평리네거리35.87015128.58709435.870606128.5551943,000 m2Y1992-12-15207:00, 17:3009:00, 19:30------도로교통법 시행령 [별표1]에 규정된 차량60대구광역시 버스운영과053-803-65422019-05-31
43수성구3광로2-1달구벌대로5만촌네거리담티고가교35.858703128.64640835.853025128.6585561,400 m2Y2002-06-01207:00, 17:3009:00, 19:30------도로교통법 시행령 [별표1]에 규정된 차량70대구광역시 버스운영과053-803-65422019-05-31
53수성구3광로2-1달구벌대로5담티고가교만촌네거리35.853328128.65859735.858878128.646651,400 m2Y2002-06-01207:00, 17:3009:00, 19:30------도로교통법 시행령 [별표1]에 규정된 차량70대구광역시 버스운영과053-803-65422019-05-31
63수성구3광로2-1달구벌대로5만촌네거리수성교35.859022128.64546135.861128128.6096063,300 m2Y1993-07-20207:00, 17:3009:00, 19:30------도로교통법 시행령 [별표1]에 규정된 차량70대구광역시 버스운영과053-803-65422019-05-31
73수성구3광로2-1달구벌대로5수성교만촌네거리35.860831128.60951735.858747128.6452893,300 m2Y1993-07-20207:00, 17:3009:00, 19:30------도로교통법 시행령 [별표1]에 규정된 차량70대구광역시 버스운영과053-803-65422019-05-31
83서구, 달서구3광로2-1달구벌대로5두류네거리성서IC35.857842128.64055335.848933128.527254,000 m2Y2006-02-19207:00, 17:3009:00, 19:30------도로교통법 시행령 [별표1]에 규정된 차량70대구광역시 버스운영과053-803-65422019-05-31
93서구, 달서구3광로2-1달구벌대로5성서IC두류네거리35.848736128.52726135.857706128.5572834,000 m2Y2006-02-19207:00, 17:3009:00, 19:30------도로교통법 시행령 [별표1]에 규정된 차량70대구광역시 버스운영과053-803-65422019-05-31
시도명시군구명도로종류도로노선번호도로노선명차로수버스전용차로기점명버스전용차로종점명버스전용차로기점위도버스전용차로기점경도버스전용차로종점위도버스전용차로종점경도버스전용차로총연장버스전용차로종류버스전용차로지정해제여부시행일자운영시간구분평일시작시각평일종료시각토요일시작시각토요일종료시각공휴일시작시각공휴일종료시각명절연휴시작시각명절연휴종료시각통행가능차량버스전용차로속도관리기관명관리기관전화번호데이터기준일자
323수성구3대로2-19수성로3중동네거리대구은행네거리35.841031128.61236135.859458128.6141422,100 m2Y1998-01-2021899-12-311899-12-31------도로교통법 시행령 [별표1]에 규정된 차량60대구광역시 버스운영과053-803-65422019-05-31
333수성구3대로2-19수성로3대구은행네거리중동네거리35.859475128.61404235.841047128.6121812,100 m2Y1998-01-2021899-12-311899-12-31------도로교통법 시행령 [별표1]에 규정된 차량60대구광역시 버스운영과053-803-65422019-05-31
343달서구3대로1-12월배로4상인네거리성당네거리35.818956128.53816935.837311128.5573812,800 m2Y1998-01-20207:00, 17:3009:00, 19:30------도로교통법 시행령 [별표1]에 규정된 차량60대구광역시 버스운영과053-803-65422019-05-31
353달서구3대로1-12월배로4성당네거리상인네거리35.837331128.55719235.819083128.53812,800 m2Y1998-01-20207:00, 17:3009:00, 19:30------도로교통법 시행령 [별표1]에 규정된 차량60대구광역시 버스운영과053-803-65422019-05-31
363남구3광로3-1대로2-24대명로4성당네거리영대병원네거리35.837639128.55792235.845172128.5902943,200 m2Y1998-01-20207:00, 17:3009:00, 19:30------도로교통법 시행령 [별표1]에 규정된 차량60대구광역시 버스운영과053-803-65422019-05-31
373남구3광로3-1대로2-24대명로4영대병원네거리성당네거리35.845275128.59030835.837786128.557953,200 m2Y1998-01-20207:00, 17:3009:00, 19:30------도로교통법 시행령 [별표1]에 규정된 차량60대구광역시 버스운영과053-803-65422019-05-31
383동구3대로1-5안심로3반야월삼거리입석네거리35.874311128.68760335.892006128.6438174,500 m2Y1998-06-22207:00, 17:3009:00, 19:30------도로교통법 시행령 [별표1]에 규정된 차량70대구광역시 버스운영과053-803-65422019-05-31
393동구3대로1-5안심로3입석네거리반야월삼거리35.8919128.64372535.874261128.6883864,500 m2Y1998-06-22207:00, 17:3009:00, 19:30------도로교통법 시행령 [별표1]에 규정된 차량70대구광역시 버스운영과053-803-65422019-05-31
403동구3광로1-1동대구로5동대구역네거리뉴대구맨션35.876842128.62641935.881164128.626161400 m1Y2017-08-02124시간24시간24시간24시간24시간24시간24시간24시간도로교통법 시행령 [별표1]에 규정된 차량60대구광역시 버스운영과053-803-65422019-05-31
413동구3광로1-1동대구로5뉴대구맨션동대구역네거리35.881119128.62603135.876847128.626306400 m1Y2017-08-02124시간24시간24시간24시간24시간24시간24시간24시간도로교통법 시행령 [별표1]에 규정된 차량60대구광역시 버스운영과053-803-65422019-05-31