Overview

Dataset statistics

Number of variables9
Number of observations612
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.9 KiB
Average record size in memory80.2 B

Variable types

Categorical4
Numeric5

Dataset

Description대구역네거리에 설치된 CCTV카메라를 이용해 진행방향별 차량 통행량을 카운트한(2022년 5월 1일부터 9월30일 기간 출근시간대인 오전 8시 데이터) 정보입니다
Author대구광역시
URLhttps://www.data.go.kr/data/15104408/fileData.do

Alerts

년 has constant value ""Constant
시간대 has constant value ""Constant
우회전 is highly overall correlated with 유턴High correlation
유턴 is highly overall correlated with 우회전High correlation
좌회전 has 46 (7.5%) zerosZeros
유턴 has 473 (77.3%) zerosZeros

Reproduction

Analysis started2024-04-20 16:28:01.332430
Analysis finished2024-04-20 16:28:07.775580
Duration6.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2022
612 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 612
100.0%

Length

2024-04-21T01:28:07.979302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:28:08.279757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 612
100.0%

월
Categorical

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
5
124 
7
124 
8
124 
6
120 
9
120 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5 124
20.3%
7 124
20.3%
8 124
20.3%
6 120
19.6%
9 120
19.6%

Length

2024-04-21T01:28:08.581517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:28:08.774950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 124
20.3%
7 124
20.3%
8 124
20.3%
6 120
19.6%
9 120
19.6%

일
Real number (ℝ)

Distinct31
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.803922
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-21T01:28:09.026700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q323
95-th percentile30
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.8427313
Coefficient of variation (CV)0.55952766
Kurtosis-1.1989598
Mean15.803922
Median Absolute Deviation (MAD)8
Skewness0.0026322394
Sum9672
Variance78.193896
MonotonicityNot monotonic
2024-04-21T01:28:09.241271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 20
 
3.3%
2 20
 
3.3%
30 20
 
3.3%
29 20
 
3.3%
28 20
 
3.3%
27 20
 
3.3%
26 20
 
3.3%
25 20
 
3.3%
24 20
 
3.3%
23 20
 
3.3%
Other values (21) 412
67.3%
ValueCountFrequency (%)
1 20
3.3%
2 20
3.3%
3 20
3.3%
4 20
3.3%
5 20
3.3%
6 20
3.3%
7 20
3.3%
8 20
3.3%
9 20
3.3%
10 20
3.3%
ValueCountFrequency (%)
31 12
2.0%
30 20
3.3%
29 20
3.3%
28 20
3.3%
27 20
3.3%
26 20
3.3%
25 20
3.3%
24 20
3.3%
23 20
3.3%
22 20
3.3%

시간대
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
8
612 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8
2nd row8
3rd row8
4th row8
5th row8

Common Values

ValueCountFrequency (%)
8 612
100.0%

Length

2024-04-21T01:28:09.479267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:28:09.784526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
8 612
100.0%

방향
Categorical

Distinct8
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
중앙네거리방면
122 
교동네거리방면
122 
대구역북편네거리방면
122 
태평네거리방면
122 
중앙네거리 방면
31 
Other values (3)
93 

Length

Max length11
Median length7
Mean length8.003268
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중앙네거리 방면
2nd row교동네거리 방면
3rd row대구역북편네거리 방면
4th row태평네거리 방면8
5th row중앙네거리 방면

Common Values

ValueCountFrequency (%)
중앙네거리방면 122
19.9%
교동네거리방면 122
19.9%
대구역북편네거리방면 122
19.9%
태평네거리방면 122
19.9%
중앙네거리 방면 31
 
5.1%
교동네거리 방면 31
 
5.1%
대구역북편네거리 방면 31
 
5.1%
태평네거리 방면8 31
 
5.1%

Length

2024-04-21T01:28:10.142620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:28:10.520211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중앙네거리방면 122
16.6%
교동네거리방면 122
16.6%
대구역북편네거리방면 122
16.6%
태평네거리방면 122
16.6%
방면 93
12.6%
중앙네거리 31
 
4.2%
교동네거리 31
 
4.2%
대구역북편네거리 31
 
4.2%
태평네거리 31
 
4.2%
방면8 31
 
4.2%

직진
Real number (ℝ)

Distinct352
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451.22059
Minimum12
Maximum1193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-21T01:28:10.926480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile37
Q178
median220
Q3919.25
95-th percentile1103.9
Maximum1193
Range1181
Interquartile range (IQR)841.25

Descriptive statistics

Standard deviation417.55909
Coefficient of variation (CV)0.92539903
Kurtosis-1.5299495
Mean451.22059
Median Absolute Deviation (MAD)179
Skewness0.45445738
Sum276147
Variance174355.6
MonotonicityNot monotonic
2024-04-21T01:28:11.365325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67 7
 
1.1%
117 6
 
1.0%
84 6
 
1.0%
109 6
 
1.0%
70 5
 
0.8%
119 5
 
0.8%
37 5
 
0.8%
76 5
 
0.8%
81 5
 
0.8%
41 5
 
0.8%
Other values (342) 557
91.0%
ValueCountFrequency (%)
12 1
 
0.2%
19 1
 
0.2%
21 4
0.7%
22 2
0.3%
24 2
0.3%
25 2
0.3%
27 2
0.3%
29 2
0.3%
30 1
 
0.2%
33 3
0.5%
ValueCountFrequency (%)
1193 1
0.2%
1185 1
0.2%
1184 1
0.2%
1170 1
0.2%
1162 1
0.2%
1157 1
0.2%
1152 1
0.2%
1150 1
0.2%
1145 1
0.2%
1141 1
0.2%

우회전
Real number (ℝ)

HIGH CORRELATION 

Distinct281
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188.94771
Minimum1
Maximum809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-21T01:28:11.776989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.55
Q120
median119.5
Q3260
95-th percentile635.8
Maximum809
Range808
Interquartile range (IQR)240

Descriptive statistics

Standard deviation196.73096
Coefficient of variation (CV)1.0411926
Kurtosis0.87145004
Mean188.94771
Median Absolute Deviation (MAD)107.5
Skewness1.3473178
Sum115636
Variance38703.071
MonotonicityNot monotonic
2024-04-21T01:28:12.233530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 22
 
3.6%
11 21
 
3.4%
13 17
 
2.8%
12 16
 
2.6%
14 12
 
2.0%
9 12
 
2.0%
7 12
 
2.0%
8 11
 
1.8%
15 7
 
1.1%
78 6
 
1.0%
Other values (271) 476
77.8%
ValueCountFrequency (%)
1 1
 
0.2%
3 1
 
0.2%
4 1
 
0.2%
5 1
 
0.2%
6 4
 
0.7%
7 12
2.0%
8 11
1.8%
9 12
2.0%
10 22
3.6%
11 21
3.4%
ValueCountFrequency (%)
809 1
0.2%
792 1
0.2%
790 1
0.2%
769 1
0.2%
757 1
0.2%
739 1
0.2%
737 1
0.2%
733 1
0.2%
717 1
0.2%
701 1
0.2%

좌회전
Real number (ℝ)

ZEROS 

Distinct221
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.560458
Minimum0
Maximum351
Zeros46
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-21T01:28:12.653212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median40
Q3178.5
95-th percentile286.45
Maximum351
Range351
Interquartile range (IQR)168.5

Descriptive statistics

Standard deviation98.820563
Coefficient of variation (CV)1.0234061
Kurtosis-0.80253282
Mean96.560458
Median Absolute Deviation (MAD)40
Skewness0.73158684
Sum59095
Variance9765.5037
MonotonicityNot monotonic
2024-04-21T01:28:13.091956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46
 
7.5%
7 24
 
3.9%
8 16
 
2.6%
11 16
 
2.6%
10 14
 
2.3%
6 13
 
2.1%
9 13
 
2.1%
1 10
 
1.6%
3 9
 
1.5%
2 9
 
1.5%
Other values (211) 442
72.2%
ValueCountFrequency (%)
0 46
7.5%
1 10
 
1.6%
2 9
 
1.5%
3 9
 
1.5%
4 7
 
1.1%
5 4
 
0.7%
6 13
 
2.1%
7 24
3.9%
8 16
 
2.6%
9 13
 
2.1%
ValueCountFrequency (%)
351 1
0.2%
329 1
0.2%
326 2
0.3%
323 1
0.2%
322 1
0.2%
321 2
0.3%
318 2
0.3%
314 1
0.2%
312 1
0.2%
309 1
0.2%

유턴
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct60
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.04902
Minimum0
Maximum241
Zeros473
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size5.5 KiB
2024-04-21T01:28:13.516581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile66.45
Maximum241
Range241
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.623291
Coefficient of variation (CV)2.3221044
Kurtosis11.235147
Mean14.04902
Median Absolute Deviation (MAD)0
Skewness3.0095107
Sum8598
Variance1064.2791
MonotonicityNot monotonic
2024-04-21T01:28:13.947514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 473
77.3%
60 19
 
3.1%
53 7
 
1.1%
61 6
 
1.0%
54 5
 
0.8%
62 5
 
0.8%
66 4
 
0.7%
55 4
 
0.7%
65 4
 
0.7%
59 4
 
0.7%
Other values (50) 81
 
13.2%
ValueCountFrequency (%)
0 473
77.3%
4 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
7 4
 
0.7%
8 2
 
0.3%
10 1
 
0.2%
11 1
 
0.2%
12 3
 
0.5%
13 2
 
0.3%
ValueCountFrequency (%)
241 1
 
0.2%
226 1
 
0.2%
180 2
0.3%
173 2
0.3%
127 2
0.3%
125 1
 
0.2%
120 4
0.7%
118 2
0.3%
114 1
 
0.2%
113 4
0.7%

Interactions

2024-04-21T01:28:05.582388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:01.792776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:02.780086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:03.686673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:04.568432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:05.836303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:01.986066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:02.938908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:03.887259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:04.732185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:06.092442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:02.199913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:03.097891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:04.054218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:04.892625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:06.359925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:02.423189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:03.266922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:04.235183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:05.068910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:06.831753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:02.626305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:03.519876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:04.405637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:28:05.325379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T01:28:14.210056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월일방향직진우회전좌회전유턴
월1.0000.0000.6670.2550.2310.3890.176
일0.0001.0000.0000.0000.0740.0000.042
방향0.6670.0001.0000.7280.7390.7450.713
직진0.2550.0000.7281.0000.7870.8170.575
우회전0.2310.0740.7390.7871.0000.8240.418
좌회전0.3890.0000.7450.8170.8241.0000.566
유턴0.1760.0420.7130.5750.4180.5661.000
2024-04-21T01:28:14.476517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방향월
방향1.0000.490
월0.4901.000
2024-04-21T01:28:14.720230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일직진우회전좌회전유턴월방향
일1.0000.0340.0440.0180.0050.0000.000
직진0.0341.000-0.003-0.0630.3740.1080.459
우회전0.044-0.0031.0000.019-0.6960.0970.471
좌회전0.018-0.0630.0191.0000.3740.1710.479
유턴0.0050.374-0.6960.3741.0000.1080.310
월0.0000.1080.0970.1710.1081.0000.490
방향0.0000.4590.4710.4790.3100.4901.000

Missing values

2024-04-21T01:28:07.175739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T01:28:07.611373image/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

년월일시간대방향직진우회전좌회전유턴
02022518중앙네거리 방면125210
12022518교동네거리 방면3529100
22022518대구역북편네거리 방면2547550
32022518태평네거리 방면8343177960
42022528중앙네거리 방면6211510
52022528교동네거리 방면118526600
62022528대구역북편네거리 방면941772880
72022528태평네거리 방면896991830
82022538중앙네거리 방면12112400
92022538교동네거리 방면115225700
년월일시간대방향직진우회전좌회전유턴
60220229288대구역북편네거리방면1126102050
60320229288태평네거리방면8691017261
60420229298중앙네거리방면5080260
60520229298교동네거리방면1137318100
60620229298대구역북편네거리방면1235051990
60720229298태평네거리방면8751018867
60820229308중앙네거리방면73118300
60920229308교동네거리방면103126770
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