Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory966.8 KiB
Average record size in memory99.0 B

Variable types

Categorical10
Numeric1

Dataset

Description대구광역시_시경계 지점교통량_20111231
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15069483&dataSetDetailId=150694831b62dd8a83fd8&provdMethod=FILE

Alerts

지점교통량DB_아이디 has constant value ""Constant
조사구분 has constant value ""Constant
조사지점유형 has constant value ""Constant
연도 has constant value ""Constant
요일유형 has constant value ""Constant
교통량_15분 has 4945 (49.5%) zerosZeros

Reproduction

Analysis started2024-04-19 06:18:59.354807
Analysis finished2024-04-19 06:19:00.365316
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지점교통량DB_아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
49
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row49
2nd row49
3rd row49
4th row49
5th row49

Common Values

ValueCountFrequency (%)
49 10000
100.0%

Length

2024-04-19T15:19:00.437132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:19:00.528895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
49 10000
100.0%

조사구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
대구시기초조사
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구시기초조사 10000
100.0%

Length

2024-04-19T15:19:00.631474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:19:00.721778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구시기초조사 10000
100.0%

조사지점유형
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
코든라인(시경계)
10000 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row코든라인(시경계)
2nd row코든라인(시경계)
3rd row코든라인(시경계)
4th row코든라인(시경계)
5th row코든라인(시경계)

Common Values

ValueCountFrequency (%)
코든라인(시경계) 10000
100.0%

Length

2024-04-19T15:19:00.813175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:19:00.907625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
코든라인(시경계 10000
100.0%

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2011
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2011
2nd row2011
3rd row2011
4th row2011
5th row2011

Common Values

ValueCountFrequency (%)
2011 10000
100.0%

Length

2024-04-19T15:19:01.009774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:19:01.097335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2011 10000
100.0%

조사지점_아이디
Categorical

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
군위방면(당제지)
 
459
청도방면(지방도 제902호)
 
458
경산방면(건천지)
 
458
군위방면(일반국도 제5호)
 
455
성주방면(성주대교)
 
447
Other values (18)
7723 

Length

Max length18
Median length15
Mean length11.8768
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row청도방면(지방도 제902호)
2nd row창녕방면(달창저수지)
3rd row고령방면(우곡교)
4th row성주방면(성주대교)
5th row창녕방면(용산유산로)

Common Values

ValueCountFrequency (%)
군위방면(당제지) 459
 
4.6%
청도방면(지방도 제902호) 458
 
4.6%
경산방면(건천지) 458
 
4.6%
군위방면(일반국도 제5호) 455
 
4.5%
성주방면(성주대교) 447
 
4.5%
창녕방면(한정교로) 446
 
4.5%
청통방면(지방도 제909호) 446
 
4.5%
고령방면(사문진교) 446
 
4.5%
창녕방면(용산유산로) 445
 
4.5%
청도방면(국가지원지방도 제30호) 445
 
4.5%
Other values (13) 5495
54.9%

Length

2024-04-19T15:19:01.191970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제4호 863
 
6.2%
군위방면(당제지 459
 
3.3%
제902호 458
 
3.3%
경산방면(건천지 458
 
3.3%
청도방면(지방도 458
 
3.3%
군위방면(일반국도 455
 
3.3%
제5호 455
 
3.3%
성주방면(성주대교 447
 
3.2%
창녕방면(한정교로 446
 
3.2%
청통방면(지방도 446
 
3.2%
Other values (21) 8963
64.4%

요일유형
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
평일
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평일 10000
100.0%

Length

2024-04-19T15:19:01.304386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:19:01.447760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일 10000
100.0%

방향구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
시외→시내
5014 
시내→시외
4986 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시외→시내
2nd row시외→시내
3rd row시내→시외
4th row시내→시외
5th row시외→시내

Common Values

ValueCountFrequency (%)
시외→시내 5014
50.1%
시내→시외 4986
49.9%

Length

2024-04-19T15:19:01.592263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:19:01.716274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시외→시내 5014
50.1%
시내→시외 4986
49.9%

시간대_1시간
Categorical

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
22시-23시
 
447
11시-12시
 
442
14시-15시
 
440
08시-09시
 
436
17시-18시
 
435
Other values (19)
7800 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00시-01시
2nd row13시-14시
3rd row00시-01시
4th row03시-04시
5th row06시-07시

Common Values

ValueCountFrequency (%)
22시-23시 447
 
4.5%
11시-12시 442
 
4.4%
14시-15시 440
 
4.4%
08시-09시 436
 
4.4%
17시-18시 435
 
4.3%
00시-01시 431
 
4.3%
10시-11시 430
 
4.3%
03시-04시 427
 
4.3%
05시-06시 427
 
4.3%
21시-22시 427
 
4.3%
Other values (14) 5658
56.6%

Length

2024-04-19T15:19:01.863426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
22시-23시 447
 
4.5%
11시-12시 442
 
4.4%
14시-15시 440
 
4.4%
08시-09시 436
 
4.4%
17시-18시 435
 
4.3%
00시-01시 431
 
4.3%
10시-11시 430
 
4.3%
03시-04시 427
 
4.3%
05시-06시 427
 
4.3%
21시-22시 427
 
4.3%
Other values (14) 5658
56.6%

시간대_15분
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
00-15
2526 
30-45
2499 
15-30
2490 
45-60
2485 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row45-60
2nd row30-45
3rd row30-45
4th row30-45
5th row30-45

Common Values

ValueCountFrequency (%)
00-15 2526
25.3%
30-45 2499
25.0%
15-30 2490
24.9%
45-60 2485
24.9%

Length

2024-04-19T15:19:02.029813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:19:02.149439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00-15 2526
25.3%
30-45 2499
25.0%
15-30 2490
24.9%
45-60 2485
24.9%

차종
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
화물차 소형(소형화물차 2.5톤 미만)
1312 
화물차 대형(대형화물차 8.5톤 초과 컨테이너/트레일러)
1267 
버스 중형(중형버스 16~36인승 미만)
1257 
승용차(10인승 이하 택시포함)
1253 
버스 대형(대형버스 36인승 이상)
1241 
Other values (3)
3670 

Length

Max length31
Median length22
Mean length19.8015
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row버스 중형(중형버스 16~36인승 미만)
2nd row승용차(10인승 이하 택시포함)
3rd row버스 중형(중형버스 16~36인승 미만)
4th row승용차(10인승 이하 택시포함)
5th row이륜

Common Values

ValueCountFrequency (%)
화물차 소형(소형화물차 2.5톤 미만) 1312
13.1%
화물차 대형(대형화물차 8.5톤 초과 컨테이너/트레일러) 1267
12.7%
버스 중형(중형버스 16~36인승 미만) 1257
12.6%
승용차(10인승 이하 택시포함) 1253
12.5%
버스 대형(대형버스 36인승 이상) 1241
12.4%
화물차 중형(중형화물차 2.5~8.5톤 이하) 1238
12.4%
이륜 1230
12.3%
버스 소형(승합차 11~15인승 이하) 1202
12.0%

Length

2024-04-19T15:19:02.267131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T15:19:02.386116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화물차 3817
 
10.5%
버스 3700
 
10.2%
이하 3693
 
10.2%
미만 2569
 
7.1%
2.5톤 1312
 
3.6%
소형(소형화물차 1312
 
3.6%
대형(대형화물차 1267
 
3.5%
8.5톤 1267
 
3.5%
초과 1267
 
3.5%
컨테이너/트레일러 1267
 
3.5%
Other values (12) 14853
40.9%

교통량_15분
Real number (ℝ)

ZEROS 

Distinct254
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.4867
Minimum0
Maximum644
Zeros4945
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-19T15:19:02.537310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile42
Maximum644
Range644
Interquartile range (IQR)4

Descriptive statistics

Standard deviation42.561731
Coefficient of variation (CV)4.0586392
Kurtosis80.228778
Mean10.4867
Median Absolute Deviation (MAD)1
Skewness8.1856773
Sum104867
Variance1811.501
MonotonicityNot monotonic
2024-04-19T15:19:02.778028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4945
49.5%
1 1194
 
11.9%
2 696
 
7.0%
3 417
 
4.2%
4 294
 
2.9%
5 215
 
2.1%
6 202
 
2.0%
7 152
 
1.5%
8 131
 
1.3%
9 126
 
1.3%
Other values (244) 1628
 
16.3%
ValueCountFrequency (%)
0 4945
49.5%
1 1194
 
11.9%
2 696
 
7.0%
3 417
 
4.2%
4 294
 
2.9%
5 215
 
2.1%
6 202
 
2.0%
7 152
 
1.5%
8 131
 
1.3%
9 126
 
1.3%
ValueCountFrequency (%)
644 1
< 0.1%
627 1
< 0.1%
618 1
< 0.1%
610 1
< 0.1%
590 1
< 0.1%
588 1
< 0.1%
565 1
< 0.1%
536 2
< 0.1%
532 1
< 0.1%
528 1
< 0.1%

Interactions

2024-04-19T15:18:59.956343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-19T15:19:02.913915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조사지점_아이디방향구분시간대_1시간시간대_15분차종교통량_15분
조사지점_아이디1.0000.0040.0000.0000.0000.290
방향구분0.0041.0000.0000.0000.0000.000
시간대_1시간0.0000.0001.0000.0000.0000.139
시간대_15분0.0000.0000.0001.0000.0000.000
차종0.0000.0000.0000.0001.0000.342
교통량_15분0.2900.0000.1390.0000.3421.000
2024-04-19T15:19:03.013878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시간대_1시간차종시간대_15분방향구분조사지점_아이디
시간대_1시간1.0000.0000.0000.0000.000
차종0.0001.0000.0000.0000.000
시간대_15분0.0000.0001.0000.0000.000
방향구분0.0000.0000.0001.0000.004
조사지점_아이디0.0000.0000.0000.0041.000
2024-04-19T15:19:03.123985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교통량_15분조사지점_아이디방향구분시간대_1시간시간대_15분차종
교통량_15분1.0000.1110.0000.0510.0000.170
조사지점_아이디0.1111.0000.0040.0000.0000.000
방향구분0.0000.0041.0000.0000.0000.000
시간대_1시간0.0510.0000.0001.0000.0000.000
시간대_15분0.0000.0000.0000.0001.0000.000
차종0.1700.0000.0000.0000.0001.000

Missing values

2024-04-19T15:19:00.098324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T15:19:00.281994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

지점교통량DB_아이디조사구분조사지점유형연도조사지점_아이디요일유형방향구분시간대_1시간시간대_15분차종교통량_15분
1030749대구시기초조사코든라인(시경계)2011청도방면(지방도 제902호)평일시외→시내00시-01시45-60버스 중형(중형버스 16~36인승 미만)0
281949대구시기초조사코든라인(시경계)2011창녕방면(달창저수지)평일시외→시내13시-14시30-45승용차(10인승 이하 택시포함)3
1011349대구시기초조사코든라인(시경계)2011고령방면(우곡교)평일시내→시외00시-01시30-45버스 중형(중형버스 16~36인승 미만)0
1785249대구시기초조사코든라인(시경계)2011성주방면(성주대교)평일시내→시외03시-04시30-45승용차(10인승 이하 택시포함)2
1061949대구시기초조사코든라인(시경계)2011창녕방면(용산유산로)평일시외→시내06시-07시30-45이륜0
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