Overview

Dataset statistics

Number of variables4
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory36.3 B

Variable types

DateTime1
Numeric3

Reproduction

Analysis started2023-12-10 12:26:21.327192
Analysis finished2023-12-10 12:26:24.055753
Duration2.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

출발시간대
Date

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2019-11-30 13:40:00
Maximum2019-11-30 22:00:00
2023-12-10T21:26:24.136706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:26:24.301671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

출발행정동코드
Real number (ℝ)

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1473391.4
Minimum1101055
Maximum3705034
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:26:24.523999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1101055
5-th percentile1103023
Q11108070.2
median1114562
Q31123306.2
95-th percentile3113406.9
Maximum3705034
Range2603979
Interquartile range (IQR)15236

Descriptive statistics

Standard deviation779015.76
Coefficient of variation (CV)0.52872291
Kurtosis1.1312158
Mean1473391.4
Median Absolute Deviation (MAD)7499
Skewness1.7386669
Sum1.4733914 × 108
Variance6.0686556 × 1011
MonotonicityNot monotonic
2023-12-10T21:26:25.125575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1123058 2
 
2.0%
1108072 2
 
2.0%
3103066 2
 
2.0%
1107073 2
 
2.0%
1125055 2
 
2.0%
1104071 2
 
2.0%
3124061 1
 
1.0%
1101061 1
 
1.0%
1122067 1
 
1.0%
1119054 1
 
1.0%
Other values (84) 84
84.0%
ValueCountFrequency (%)
1101055 1
1.0%
1101061 1
1.0%
1101064 1
1.0%
1101072 1
1.0%
1102054 1
1.0%
1103074 1
1.0%
1104052 1
1.0%
1104068 1
1.0%
1104070 1
1.0%
1104071 2
2.0%
ValueCountFrequency (%)
3705034 1
1.0%
3238032 1
1.0%
3124061 1
1.0%
3121034 1
1.0%
3120055 1
1.0%
3113057 1
1.0%
3113031 1
1.0%
3113013 1
1.0%
3112053 1
1.0%
3110457 1
1.0%

도착행정동코드
Real number (ℝ)

Distinct86
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1489492.6
Minimum1101061
Maximum3401260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:26:25.353638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1101061
5-th percentile1102058.8
Q11107814
median1113074.5
Q31123569.8
95-th percentile3131739.5
Maximum3401260
Range2300199
Interquartile range (IQR)15755.75

Descriptive statistics

Standard deviation772369.67
Coefficient of variation (CV)0.5185455
Kurtosis0.80110655
Mean1489492.6
Median Absolute Deviation (MAD)7994.5
Skewness1.6315265
Sum1.4894926 × 108
Variance5.965549 × 1011
MonotonicityNot monotonic
2023-12-10T21:26:25.581748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1104056 3
 
3.0%
1117068 2
 
2.0%
1105053 2
 
2.0%
1103073 2
 
2.0%
1110062 2
 
2.0%
1108068 2
 
2.0%
1112058 2
 
2.0%
1121069 2
 
2.0%
1107073 2
 
2.0%
1101061 2
 
2.0%
Other values (76) 79
79.0%
ValueCountFrequency (%)
1101061 2
2.0%
1101063 1
 
1.0%
1102052 1
 
1.0%
1102054 1
 
1.0%
1102059 1
 
1.0%
1103065 2
2.0%
1103073 2
2.0%
1104054 1
 
1.0%
1104056 3
3.0%
1104058 1
 
1.0%
ValueCountFrequency (%)
3401260 1
1.0%
3304259 1
1.0%
3235013 1
1.0%
3231037 1
1.0%
3202068 1
1.0%
3128038 1
1.0%
3125011 1
1.0%
3121054 1
1.0%
3118062 1
1.0%
3106060 2
2.0%

평균소요시간(초)
Real number (ℝ)

Distinct93
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean391.8
Minimum115
Maximum1409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:26:25.824895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum115
5-th percentile152.75
Q1220.5
median376.5
Q3531.75
95-th percentile631.2
Maximum1409
Range1294
Interquartile range (IQR)311.25

Descriptive statistics

Standard deviation207.48499
Coefficient of variation (CV)0.52956863
Kurtosis5.5805037
Mean391.8
Median Absolute Deviation (MAD)156.5
Skewness1.6080177
Sum39180
Variance43050.02
MonotonicityNot monotonic
2023-12-10T21:26:26.187903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
421 2
 
2.0%
586 2
 
2.0%
367 2
 
2.0%
182 2
 
2.0%
154 2
 
2.0%
424 2
 
2.0%
537 2
 
2.0%
230 1
 
1.0%
155 1
 
1.0%
524 1
 
1.0%
Other values (83) 83
83.0%
ValueCountFrequency (%)
115 1
1.0%
123 1
1.0%
140 1
1.0%
144 1
1.0%
148 1
1.0%
153 1
1.0%
154 2
2.0%
155 1
1.0%
156 1
1.0%
158 1
1.0%
ValueCountFrequency (%)
1409 1
1.0%
1109 1
1.0%
845 1
1.0%
759 1
1.0%
654 1
1.0%
630 1
1.0%
622 1
1.0%
601 1
1.0%
598 1
1.0%
592 1
1.0%

Interactions

2023-12-10T21:26:23.436122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:26:22.604669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:26:23.048039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:26:23.565238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:26:22.754243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:26:23.177896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:26:23.700798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:26:22.892990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:26:23.297777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:26:26.486478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출발시간대출발행정동코드도착행정동코드평균소요시간(초)
출발시간대1.0000.6440.0000.803
출발행정동코드0.6441.0000.0000.647
도착행정동코드0.0000.0001.0000.422
평균소요시간(초)0.8030.6470.4221.000
2023-12-10T21:26:26.660280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출발행정동코드도착행정동코드평균소요시간(초)
출발행정동코드1.0000.2090.113
도착행정동코드0.2091.000-0.056
평균소요시간(초)0.113-0.0561.000

Missing values

2023-12-10T21:26:23.861845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:26:24.002338image/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

출발시간대출발행정동코드도착행정동코드평균소요시간(초)
02019-11-30 13:4031240611117068630
12019-11-30 14:0011220621123053592
22019-11-30 14:2011230583102154570
32019-11-30 14:4011060883103057586
42019-11-30 14:4011120721103065543
52019-11-30 15:0011060721101061531
62019-11-30 15:2011080721114066519
72019-11-30 15:40323803211070731109
82019-11-30 16:2011040721103065463
92019-11-30 16:2011070731105053458
출발시간대출발행정동코드도착행정동코드평균소요시간(초)
902019-11-30 21:4031104561113073545
912019-11-30 21:4031200551121081586
922019-11-30 22:0011010551108081244
932019-11-30 22:0011010643104266123
942019-11-30 22:0011030743401260165
952019-11-30 22:0011070651102052472
962019-11-30 22:0011090701108063428
972019-11-30 22:0011100641107073561
982019-11-30 22:0011110601111076148
992019-11-30 22:0011130521123076115