Overview

Dataset statistics

Number of variables23
Number of observations3640
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory725.3 KiB
Average record size in memory204.0 B

Variable types

DateTime1
Numeric20
Categorical2

Dataset

Description광주교통공사 역,일,시간대별 승하차량에 대한 데이터로 일자, 역번호, 역명, 시간대별 승하차 인원 정보를 제공합니다.
Author광주교통공사
URLhttps://www.data.go.kr/data/15060048/fileData.do

Alerts

05_06 has 193 (5.3%) zerosZeros
06_07 has 62 (1.7%) zerosZeros
21_22 has 61 (1.7%) zerosZeros
22_23 has 76 (2.1%) zerosZeros
23_24 has 128 (3.5%) zerosZeros

Reproduction

Analysis started2024-04-29 22:35:33.750489
Analysis finished2024-04-29 22:35:33.958292
Duration0.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

Distinct91
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
Minimum2024-01-01 00:00:00
Maximum2024-03-31 00:00:00
2024-04-30T07:35:34.030575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:35:34.298205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

역번호
Real number (ℝ)

Distinct20
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.5
Minimum100
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:34.421595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile100.95
Q1104.75
median109.5
Q3114.25
95-th percentile118.05
Maximum119
Range19
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation5.7670735
Coefficient of variation (CV)0.052667338
Kurtosis-1.2060231
Mean109.5
Median Absolute Deviation (MAD)5
Skewness0
Sum398580
Variance33.259137
MonotonicityNot monotonic
2024-04-30T07:35:34.531946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
100 182
 
5.0%
111 182
 
5.0%
119 182
 
5.0%
118 182
 
5.0%
117 182
 
5.0%
116 182
 
5.0%
115 182
 
5.0%
114 182
 
5.0%
113 182
 
5.0%
112 182
 
5.0%
Other values (10) 1820
50.0%
ValueCountFrequency (%)
100 182
5.0%
101 182
5.0%
102 182
5.0%
103 182
5.0%
104 182
5.0%
105 182
5.0%
106 182
5.0%
107 182
5.0%
108 182
5.0%
109 182
5.0%
ValueCountFrequency (%)
119 182
5.0%
118 182
5.0%
117 182
5.0%
116 182
5.0%
115 182
5.0%
114 182
5.0%
113 182
5.0%
112 182
5.0%
111 182
5.0%
110 182
5.0%

역명
Categorical

Distinct20
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
녹동
 
182
소태
 
182
학동증심사
 
182
남광주
 
182
문화전당
 
182
Other values (15)
2730 

Length

Max length18
Median length17.5
Mean length17
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row녹동
2nd row녹동
3rd row소태
4th row소태
5th row학동증심사

Common Values

ValueCountFrequency (%)
녹동 182
 
5.0%
소태 182
 
5.0%
학동증심사 182
 
5.0%
남광주 182
 
5.0%
문화전당 182
 
5.0%
금남로4가 182
 
5.0%
금남로5가 182
 
5.0%
양동시장 182
 
5.0%
돌고개 182
 
5.0%
농성 182
 
5.0%
Other values (10) 1820
50.0%

Length

2024-04-30T07:35:34.653692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
녹동 182
 
5.0%
소태 182
 
5.0%
도산 182
 
5.0%
광주송정 182
 
5.0%
송정공원 182
 
5.0%
공항 182
 
5.0%
컨벤션센터 182
 
5.0%
상무 182
 
5.0%
운천 182
 
5.0%
쌍촌 182
 
5.0%
Other values (10) 1820
50.0%

구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.6 KiB
승차
1820 
하차
1820 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row승차
2nd row하차
3rd row승차
4th row하차
5th row승차

Common Values

ValueCountFrequency (%)
승차 1820
50.0%
하차 1820
50.0%

Length

2024-04-30T07:35:34.768748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:35:34.879478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승차 1820
50.0%
하차 1820
50.0%

05_06
Real number (ℝ)

ZEROS 

Distinct86
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.498352
Minimum0
Maximum345
Zeros193
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:35.002288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median17
Q329
95-th percentile46
Maximum345
Range345
Interquartile range (IQR)22

Descriptive statistics

Standard deviation16.070229
Coefficient of variation (CV)0.82418398
Kurtosis46.837175
Mean19.498352
Median Absolute Deviation (MAD)10
Skewness3.1171802
Sum70974
Variance258.25226
MonotonicityNot monotonic
2024-04-30T07:35:35.141512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 193
 
5.3%
2 134
 
3.7%
8 115
 
3.2%
3 115
 
3.2%
7 108
 
3.0%
6 105
 
2.9%
4 104
 
2.9%
18 102
 
2.8%
5 101
 
2.8%
16 99
 
2.7%
Other values (76) 2464
67.7%
ValueCountFrequency (%)
0 193
5.3%
1 84
2.3%
2 134
3.7%
3 115
3.2%
4 104
2.9%
5 101
2.8%
6 105
2.9%
7 108
3.0%
8 115
3.2%
9 94
2.6%
ValueCountFrequency (%)
345 1
< 0.1%
121 1
< 0.1%
98 1
< 0.1%
95 1
< 0.1%
91 1
< 0.1%
86 1
< 0.1%
85 1
< 0.1%
83 1
< 0.1%
82 1
< 0.1%
80 1
< 0.1%

06_07
Real number (ℝ)

ZEROS 

Distinct221
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.221154
Minimum0
Maximum351
Zeros62
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:35.277865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q125
median38
Q373
95-th percentile136
Maximum351
Range351
Interquartile range (IQR)48

Descriptive statistics

Standard deviation43.925375
Coefficient of variation (CV)0.82533677
Kurtosis4.4034005
Mean53.221154
Median Absolute Deviation (MAD)18
Skewness1.8097582
Sum193725
Variance1929.4386
MonotonicityNot monotonic
2024-04-30T07:35:35.426545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27 80
 
2.2%
33 77
 
2.1%
29 77
 
2.1%
31 75
 
2.1%
32 74
 
2.0%
28 70
 
1.9%
26 69
 
1.9%
25 69
 
1.9%
30 67
 
1.8%
34 65
 
1.8%
Other values (211) 2917
80.1%
ValueCountFrequency (%)
0 62
1.7%
1 35
1.0%
2 14
 
0.4%
3 7
 
0.2%
4 5
 
0.1%
5 6
 
0.2%
6 9
 
0.2%
7 16
 
0.4%
8 26
0.7%
9 34
0.9%
ValueCountFrequency (%)
351 1
 
< 0.1%
331 1
 
< 0.1%
276 1
 
< 0.1%
269 1
 
< 0.1%
266 1
 
< 0.1%
264 1
 
< 0.1%
259 1
 
< 0.1%
258 1
 
< 0.1%
257 1
 
< 0.1%
252 3
0.1%

07_08
Real number (ℝ)

Distinct472
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.51538
Minimum0
Maximum1238
Zeros6
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:35.574237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q144
median86
Q3165
95-th percentile350
Maximum1238
Range1238
Interquartile range (IQR)121

Descriptive statistics

Standard deviation134.89511
Coefficient of variation (CV)1.0578732
Kurtosis11.932214
Mean127.51538
Median Absolute Deviation (MAD)50
Skewness2.9005173
Sum464156
Variance18196.691
MonotonicityNot monotonic
2024-04-30T07:35:35.720183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 39
 
1.1%
51 38
 
1.0%
49 36
 
1.0%
47 36
 
1.0%
31 33
 
0.9%
57 33
 
0.9%
30 32
 
0.9%
11 31
 
0.9%
84 31
 
0.9%
36 30
 
0.8%
Other values (462) 3301
90.7%
ValueCountFrequency (%)
0 6
 
0.2%
1 13
0.4%
2 15
0.4%
3 4
 
0.1%
4 2
 
0.1%
5 2
 
0.1%
6 5
 
0.1%
7 5
 
0.1%
8 7
0.2%
9 11
0.3%
ValueCountFrequency (%)
1238 1
< 0.1%
1110 1
< 0.1%
931 1
< 0.1%
880 1
< 0.1%
872 1
< 0.1%
869 1
< 0.1%
868 1
< 0.1%
864 1
< 0.1%
862 1
< 0.1%
861 1
< 0.1%

08_09
Real number (ℝ)

Distinct666
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean226.0206
Minimum0
Maximum1102
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:35.870977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q174
median159
Q3351.25
95-th percentile591.05
Maximum1102
Range1102
Interquartile range (IQR)277.25

Descriptive statistics

Standard deviation185.88901
Coefficient of variation (CV)0.82244276
Kurtosis0.50649575
Mean226.0206
Median Absolute Deviation (MAD)112
Skewness0.99402535
Sum822715
Variance34554.724
MonotonicityNot monotonic
2024-04-30T07:35:36.048734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 30
 
0.8%
25 22
 
0.6%
26 22
 
0.6%
28 21
 
0.6%
34 20
 
0.5%
21 20
 
0.5%
29 20
 
0.5%
23 19
 
0.5%
38 19
 
0.5%
37 19
 
0.5%
Other values (656) 3428
94.2%
ValueCountFrequency (%)
0 2
 
0.1%
1 4
0.1%
2 6
0.2%
3 5
0.1%
4 3
 
0.1%
5 5
0.1%
6 3
 
0.1%
7 7
0.2%
8 8
0.2%
9 2
 
0.1%
ValueCountFrequency (%)
1102 1
< 0.1%
1072 1
< 0.1%
1057 1
< 0.1%
1037 1
< 0.1%
1026 1
< 0.1%
1012 1
< 0.1%
1010 1
< 0.1%
988 1
< 0.1%
987 1
< 0.1%
983 1
< 0.1%

09_10
Real number (ℝ)

Distinct401
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.39258
Minimum0
Maximum728
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:36.243646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.95
Q169
median112
Q3188
95-th percentile317.05
Maximum728
Range728
Interquartile range (IQR)119

Descriptive statistics

Standard deviation93.393096
Coefficient of variation (CV)0.68979478
Kurtosis4.6406893
Mean135.39258
Median Absolute Deviation (MAD)55
Skewness1.4867819
Sum492829
Variance8722.2704
MonotonicityNot monotonic
2024-04-30T07:35:36.394850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87 36
 
1.0%
74 34
 
0.9%
67 30
 
0.8%
82 29
 
0.8%
68 29
 
0.8%
85 29
 
0.8%
81 28
 
0.8%
84 27
 
0.7%
70 27
 
0.7%
71 27
 
0.7%
Other values (391) 3344
91.9%
ValueCountFrequency (%)
0 3
 
0.1%
1 5
 
0.1%
2 13
0.4%
3 12
0.3%
4 17
0.5%
5 12
0.3%
6 16
0.4%
7 16
0.4%
8 10
0.3%
9 8
0.2%
ValueCountFrequency (%)
728 1
< 0.1%
726 1
< 0.1%
723 1
< 0.1%
702 1
< 0.1%
699 1
< 0.1%
697 1
< 0.1%
696 1
< 0.1%
692 1
< 0.1%
691 1
< 0.1%
690 1
< 0.1%

10_11
Real number (ℝ)

Distinct383
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.51731
Minimum0
Maximum561
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:36.550293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q166
median107.5
Q3159
95-th percentile281
Maximum561
Range561
Interquartile range (IQR)93

Descriptive statistics

Standard deviation79.585473
Coefficient of variation (CV)0.64958555
Kurtosis2.2095409
Mean122.51731
Median Absolute Deviation (MAD)45.5
Skewness1.2623191
Sum445963
Variance6333.8475
MonotonicityNot monotonic
2024-04-30T07:35:36.675484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69 34
 
0.9%
116 33
 
0.9%
54 32
 
0.9%
47 30
 
0.8%
63 30
 
0.8%
74 30
 
0.8%
57 30
 
0.8%
90 29
 
0.8%
67 29
 
0.8%
73 29
 
0.8%
Other values (373) 3334
91.6%
ValueCountFrequency (%)
0 2
 
0.1%
1 12
0.3%
2 10
0.3%
3 7
 
0.2%
4 11
0.3%
5 12
0.3%
6 19
0.5%
7 12
0.3%
8 11
0.3%
9 8
0.2%
ValueCountFrequency (%)
561 1
< 0.1%
512 1
< 0.1%
503 1
< 0.1%
487 1
< 0.1%
483 1
< 0.1%
477 1
< 0.1%
476 1
< 0.1%
473 1
< 0.1%
472 1
< 0.1%
466 1
< 0.1%

11_12
Real number (ℝ)

Distinct381
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.15137
Minimum0
Maximum587
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:36.811383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.95
Q167
median109
Q3166
95-th percentile282
Maximum587
Range587
Interquartile range (IQR)99

Descriptive statistics

Standard deviation80.882613
Coefficient of variation (CV)0.64115523
Kurtosis1.6053997
Mean126.15137
Median Absolute Deviation (MAD)47
Skewness1.1191538
Sum459191
Variance6541.9971
MonotonicityNot monotonic
2024-04-30T07:35:37.152041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 38
 
1.0%
100 34
 
0.9%
66 32
 
0.9%
96 31
 
0.9%
61 29
 
0.8%
102 29
 
0.8%
60 29
 
0.8%
89 28
 
0.8%
97 27
 
0.7%
132 27
 
0.7%
Other values (371) 3336
91.6%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 2
 
0.1%
2 7
0.2%
3 9
0.2%
4 17
0.5%
5 13
0.4%
6 16
0.4%
7 16
0.4%
8 11
0.3%
9 13
0.4%
ValueCountFrequency (%)
587 1
< 0.1%
559 1
< 0.1%
520 1
< 0.1%
514 1
< 0.1%
505 1
< 0.1%
463 1
< 0.1%
458 1
< 0.1%
451 1
< 0.1%
444 1
< 0.1%
440 1
< 0.1%

12_13
Real number (ℝ)

Distinct399
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.89286
Minimum1
Maximum667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:37.302520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.95
Q176
median117
Q3176
95-th percentile300.05
Maximum667
Range666
Interquartile range (IQR)100

Descriptive statistics

Standard deviation85.530426
Coefficient of variation (CV)0.63406193
Kurtosis2.2576243
Mean134.89286
Median Absolute Deviation (MAD)48
Skewness1.2271068
Sum491010
Variance7315.4538
MonotonicityNot monotonic
2024-04-30T07:35:37.448122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77 33
 
0.9%
87 32
 
0.9%
93 32
 
0.9%
94 32
 
0.9%
61 29
 
0.8%
109 28
 
0.8%
117 28
 
0.8%
126 27
 
0.7%
95 27
 
0.7%
103 27
 
0.7%
Other values (389) 3345
91.9%
ValueCountFrequency (%)
1 2
 
0.1%
2 1
 
< 0.1%
3 5
 
0.1%
4 13
0.4%
5 11
0.3%
6 18
0.5%
7 16
0.4%
8 17
0.5%
9 15
0.4%
10 17
0.5%
ValueCountFrequency (%)
667 1
< 0.1%
633 1
< 0.1%
593 1
< 0.1%
518 1
< 0.1%
514 1
< 0.1%
504 1
< 0.1%
500 1
< 0.1%
498 1
< 0.1%
497 1
< 0.1%
491 1
< 0.1%

13_14
Real number (ℝ)

Distinct399
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.33407
Minimum1
Maximum550
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:37.596673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.95
Q183
median132
Q3190.25
95-th percentile303.05
Maximum550
Range549
Interquartile range (IQR)107.25

Descriptive statistics

Standard deviation85.068645
Coefficient of variation (CV)0.58533176
Kurtosis1.0021161
Mean145.33407
Median Absolute Deviation (MAD)53
Skewness0.88442317
Sum529016
Variance7236.6743
MonotonicityNot monotonic
2024-04-30T07:35:37.728280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123 31
 
0.9%
63 30
 
0.8%
120 29
 
0.8%
106 28
 
0.8%
61 28
 
0.8%
117 26
 
0.7%
119 26
 
0.7%
121 25
 
0.7%
126 25
 
0.7%
59 24
 
0.7%
Other values (389) 3368
92.5%
ValueCountFrequency (%)
1 3
 
0.1%
2 4
 
0.1%
3 5
 
0.1%
4 11
0.3%
5 20
0.5%
6 14
0.4%
7 14
0.4%
8 18
0.5%
9 14
0.4%
10 20
0.5%
ValueCountFrequency (%)
550 1
< 0.1%
512 1
< 0.1%
510 1
< 0.1%
509 1
< 0.1%
508 1
< 0.1%
504 1
< 0.1%
495 1
< 0.1%
491 1
< 0.1%
472 1
< 0.1%
466 1
< 0.1%

14_15
Real number (ℝ)

Distinct390
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.13929
Minimum0
Maximum532
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:37.873986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.95
Q181
median124
Q3183
95-th percentile312
Maximum532
Range532
Interquartile range (IQR)102

Descriptive statistics

Standard deviation86.315886
Coefficient of variation (CV)0.60726269
Kurtosis0.47991241
Mean142.13929
Median Absolute Deviation (MAD)48
Skewness0.89876519
Sum517387
Variance7450.4321
MonotonicityNot monotonic
2024-04-30T07:35:38.012149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108 32
 
0.9%
129 32
 
0.9%
122 31
 
0.9%
125 30
 
0.8%
105 29
 
0.8%
68 29
 
0.8%
131 28
 
0.8%
136 28
 
0.8%
94 27
 
0.7%
99 26
 
0.7%
Other values (380) 3348
92.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1
 
< 0.1%
2 3
 
0.1%
3 9
0.2%
4 17
0.5%
5 12
0.3%
6 20
0.5%
7 20
0.5%
8 16
0.4%
9 15
0.4%
ValueCountFrequency (%)
532 1
< 0.1%
483 1
< 0.1%
469 1
< 0.1%
465 1
< 0.1%
458 1
< 0.1%
449 1
< 0.1%
439 1
< 0.1%
431 1
< 0.1%
427 2
0.1%
426 1
< 0.1%

15_16
Real number (ℝ)

Distinct404
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.75687
Minimum0
Maximum518
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:38.144068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.95
Q187
median134
Q3198
95-th percentile311
Maximum518
Range518
Interquartile range (IQR)111

Descriptive statistics

Standard deviation87.271101
Coefficient of variation (CV)0.58275191
Kurtosis0.5090602
Mean149.75687
Median Absolute Deviation (MAD)53
Skewness0.80220366
Sum545115
Variance7616.2451
MonotonicityNot monotonic
2024-04-30T07:35:38.287538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106 30
 
0.8%
89 29
 
0.8%
155 28
 
0.8%
93 28
 
0.8%
109 27
 
0.7%
84 26
 
0.7%
139 25
 
0.7%
65 25
 
0.7%
115 25
 
0.7%
71 24
 
0.7%
Other values (394) 3373
92.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 4
 
0.1%
2 6
 
0.2%
3 11
0.3%
4 9
0.2%
5 17
0.5%
6 18
0.5%
7 16
0.4%
8 15
0.4%
9 9
0.2%
ValueCountFrequency (%)
518 1
< 0.1%
510 1
< 0.1%
508 1
< 0.1%
493 1
< 0.1%
489 1
< 0.1%
479 1
< 0.1%
474 1
< 0.1%
473 1
< 0.1%
472 1
< 0.1%
466 1
< 0.1%

16_17
Real number (ℝ)

Distinct455
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.25824
Minimum0
Maximum608
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:38.449986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27.9
Q192
median148
Q3215
95-th percentile349
Maximum608
Range608
Interquartile range (IQR)123

Descriptive statistics

Standard deviation97.861241
Coefficient of variation (CV)0.59577675
Kurtosis0.93504208
Mean164.25824
Median Absolute Deviation (MAD)60
Skewness0.91647405
Sum597900
Variance9576.8225
MonotonicityNot monotonic
2024-04-30T07:35:38.666372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94 25
 
0.7%
163 24
 
0.7%
77 24
 
0.7%
148 23
 
0.6%
7 23
 
0.6%
165 22
 
0.6%
82 22
 
0.6%
177 22
 
0.6%
129 22
 
0.6%
86 22
 
0.6%
Other values (445) 3411
93.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1
 
< 0.1%
2 9
 
0.2%
3 7
 
0.2%
4 11
0.3%
5 9
 
0.2%
6 15
0.4%
7 23
0.6%
8 17
0.5%
9 13
0.4%
ValueCountFrequency (%)
608 1
< 0.1%
555 1
< 0.1%
553 1
< 0.1%
543 2
0.1%
540 1
< 0.1%
539 1
< 0.1%
533 2
0.1%
530 1
< 0.1%
527 1
< 0.1%
524 1
< 0.1%

17_18
Real number (ℝ)

Distinct587
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207.84121
Minimum2
Maximum914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:38.819046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile35
Q1113
median173
Q3273
95-th percentile480
Maximum914
Range912
Interquartile range (IQR)160

Descriptive statistics

Standard deviation137.77749
Coefficient of variation (CV)0.66289782
Kurtosis1.546646
Mean207.84121
Median Absolute Deviation (MAD)73
Skewness1.2102859
Sum756542
Variance18982.635
MonotonicityNot monotonic
2024-04-30T07:35:38.959471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
133 32
 
0.9%
138 24
 
0.7%
145 22
 
0.6%
180 22
 
0.6%
130 22
 
0.6%
124 22
 
0.6%
134 21
 
0.6%
116 21
 
0.6%
113 21
 
0.6%
105 20
 
0.5%
Other values (577) 3413
93.8%
ValueCountFrequency (%)
2 3
 
0.1%
3 5
0.1%
4 2
 
0.1%
5 2
 
0.1%
6 7
0.2%
7 4
0.1%
8 8
0.2%
9 9
0.2%
10 5
0.1%
11 4
0.1%
ValueCountFrequency (%)
914 1
< 0.1%
871 1
< 0.1%
870 1
< 0.1%
837 1
< 0.1%
812 1
< 0.1%
783 1
< 0.1%
761 1
< 0.1%
752 1
< 0.1%
730 1
< 0.1%
717 1
< 0.1%

18_19
Real number (ℝ)

Distinct606
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.05632
Minimum0
Maximum710
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:39.092723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27
Q1103
median170.5
Q3299.25
95-th percentile517
Maximum710
Range710
Interquartile range (IQR)196.25

Descriptive statistics

Standard deviation148.00431
Coefficient of variation (CV)0.68821185
Kurtosis0.094906152
Mean215.05632
Median Absolute Deviation (MAD)91.5
Skewness0.85333656
Sum782805
Variance21905.275
MonotonicityNot monotonic
2024-04-30T07:35:39.240999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
133 25
 
0.7%
103 23
 
0.6%
114 23
 
0.6%
142 22
 
0.6%
123 22
 
0.6%
110 20
 
0.5%
97 20
 
0.5%
137 20
 
0.5%
134 20
 
0.5%
127 20
 
0.5%
Other values (596) 3425
94.1%
ValueCountFrequency (%)
0 2
 
0.1%
1 5
 
0.1%
2 5
 
0.1%
3 12
0.3%
4 16
0.4%
5 7
0.2%
6 5
 
0.1%
7 3
 
0.1%
8 3
 
0.1%
11 2
 
0.1%
ValueCountFrequency (%)
710 1
 
< 0.1%
703 2
0.1%
702 2
0.1%
701 1
 
< 0.1%
699 1
 
< 0.1%
677 1
 
< 0.1%
675 3
0.1%
673 1
 
< 0.1%
669 1
 
< 0.1%
667 2
0.1%

19_20
Real number (ℝ)

Distinct344
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.59725
Minimum0
Maximum456
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:39.386398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q153
median84.5
Q3145
95-th percentile244
Maximum456
Range456
Interquartile range (IQR)92

Descriptive statistics

Standard deviation73.52355
Coefficient of variation (CV)0.69626385
Kurtosis1.5466248
Mean105.59725
Median Absolute Deviation (MAD)39.5
Skewness1.1877272
Sum384374
Variance5405.7124
MonotonicityNot monotonic
2024-04-30T07:35:39.522909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53 42
 
1.2%
58 42
 
1.2%
45 40
 
1.1%
65 40
 
1.1%
52 39
 
1.1%
55 39
 
1.1%
56 38
 
1.0%
66 35
 
1.0%
49 35
 
1.0%
51 34
 
0.9%
Other values (334) 3256
89.5%
ValueCountFrequency (%)
0 5
 
0.1%
1 14
0.4%
2 22
0.6%
3 33
0.9%
4 26
0.7%
5 21
0.6%
6 27
0.7%
7 12
 
0.3%
8 8
 
0.2%
9 4
 
0.1%
ValueCountFrequency (%)
456 1
< 0.1%
446 1
< 0.1%
438 1
< 0.1%
433 1
< 0.1%
432 1
< 0.1%
428 1
< 0.1%
425 1
< 0.1%
423 1
< 0.1%
419 1
< 0.1%
416 1
< 0.1%

20_21
Real number (ℝ)

Distinct312
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.12033
Minimum0
Maximum445
Zeros35
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:39.906975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.95
Q137
median67
Q3108
95-th percentile207
Maximum445
Range445
Interquartile range (IQR)71

Descriptive statistics

Standard deviation64.268718
Coefficient of variation (CV)0.78261641
Kurtosis3.7236878
Mean82.12033
Median Absolute Deviation (MAD)33
Skewness1.6511614
Sum298918
Variance4130.4681
MonotonicityNot monotonic
2024-04-30T07:35:40.061450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 60
 
1.6%
34 57
 
1.6%
38 53
 
1.5%
39 53
 
1.5%
37 50
 
1.4%
35 50
 
1.4%
32 47
 
1.3%
36 46
 
1.3%
33 46
 
1.3%
2 45
 
1.2%
Other values (302) 3133
86.1%
ValueCountFrequency (%)
0 35
1.0%
1 37
1.0%
2 45
1.2%
3 26
0.7%
4 13
 
0.4%
5 8
 
0.2%
6 7
 
0.2%
7 7
 
0.2%
8 3
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
445 1
< 0.1%
420 1
< 0.1%
419 2
0.1%
415 1
< 0.1%
409 1
< 0.1%
401 1
< 0.1%
395 2
0.1%
392 2
0.1%
385 1
< 0.1%
382 1
< 0.1%

21_22
Real number (ℝ)

ZEROS 

Distinct289
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.50467
Minimum0
Maximum891
Zeros61
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:40.213737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q131
median56
Q399
95-th percentile193
Maximum891
Range891
Interquartile range (IQR)68

Descriptive statistics

Standard deviation64.827363
Coefficient of variation (CV)0.88194889
Kurtosis18.36649
Mean73.50467
Median Absolute Deviation (MAD)30
Skewness2.8557728
Sum267557
Variance4202.587
MonotonicityNot monotonic
2024-04-30T07:35:40.341228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 72
 
2.0%
0 61
 
1.7%
30 56
 
1.5%
31 55
 
1.5%
29 53
 
1.5%
35 52
 
1.4%
36 49
 
1.3%
33 48
 
1.3%
34 47
 
1.3%
37 47
 
1.3%
Other values (279) 3100
85.2%
ValueCountFrequency (%)
0 61
1.7%
1 36
1.0%
2 31
0.9%
3 26
0.7%
4 16
 
0.4%
5 9
 
0.2%
6 6
 
0.2%
7 6
 
0.2%
8 8
 
0.2%
9 13
 
0.4%
ValueCountFrequency (%)
891 1
< 0.1%
807 1
< 0.1%
639 1
< 0.1%
617 1
< 0.1%
607 1
< 0.1%
449 1
< 0.1%
427 1
< 0.1%
400 1
< 0.1%
394 1
< 0.1%
391 1
< 0.1%

22_23
Real number (ℝ)

ZEROS 

Distinct213
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.941209
Minimum0
Maximum553
Zeros76
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:40.503175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q121
median38
Q375.25
95-th percentile131.05
Maximum553
Range553
Interquartile range (IQR)54.25

Descriptive statistics

Standard deviation43.895763
Coefficient of variation (CV)0.84510476
Kurtosis7.45102
Mean51.941209
Median Absolute Deviation (MAD)22
Skewness1.7951302
Sum189066
Variance1926.838
MonotonicityNot monotonic
2024-04-30T07:35:40.626396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 90
 
2.5%
0 76
 
2.1%
24 76
 
2.1%
18 68
 
1.9%
21 68
 
1.9%
23 68
 
1.9%
17 63
 
1.7%
27 63
 
1.7%
25 63
 
1.7%
26 62
 
1.7%
Other values (203) 2943
80.9%
ValueCountFrequency (%)
0 76
2.1%
1 35
1.0%
2 21
 
0.6%
3 21
 
0.6%
4 40
1.1%
5 26
 
0.7%
6 29
 
0.8%
7 28
 
0.8%
8 26
 
0.7%
9 38
1.0%
ValueCountFrequency (%)
553 1
< 0.1%
364 1
< 0.1%
351 1
< 0.1%
301 1
< 0.1%
281 1
< 0.1%
260 1
< 0.1%
247 1
< 0.1%
238 1
< 0.1%
237 1
< 0.1%
235 1
< 0.1%

23_24
Real number (ℝ)

ZEROS 

Distinct158
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.609615
Minimum0
Maximum264
Zeros128
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size32.1 KiB
2024-04-30T07:35:40.795916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.95
Q112
median26
Q343
95-th percentile79
Maximum264
Range264
Interquartile range (IQR)31

Descriptive statistics

Standard deviation28.434786
Coefficient of variation (CV)0.89956127
Kurtosis11.123848
Mean31.609615
Median Absolute Deviation (MAD)15
Skewness2.5766776
Sum115059
Variance808.53703
MonotonicityNot monotonic
2024-04-30T07:35:40.935598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 128
 
3.5%
10 105
 
2.9%
9 102
 
2.8%
11 102
 
2.8%
12 100
 
2.7%
14 93
 
2.6%
8 92
 
2.5%
13 87
 
2.4%
7 77
 
2.1%
15 76
 
2.1%
Other values (148) 2678
73.6%
ValueCountFrequency (%)
0 128
3.5%
1 37
 
1.0%
2 17
 
0.5%
3 29
 
0.8%
4 52
1.4%
5 55
1.5%
6 66
1.8%
7 77
2.1%
8 92
2.5%
9 102
2.8%
ValueCountFrequency (%)
264 1
 
< 0.1%
236 1
 
< 0.1%
225 2
0.1%
220 1
 
< 0.1%
209 3
0.1%
207 1
 
< 0.1%
206 1
 
< 0.1%
205 2
0.1%
201 1
 
< 0.1%
200 1
 
< 0.1%

Sample

일자역번호역명구분05_0606_0707_0808_0909_1010_1111_1212_1313_1414_1515_1616_1717_1818_1919_2020_2121_2222_2323_24
02024-01-01100녹동승차00184867138146413000
12024-01-01100녹동하차0014216829468172320
22024-01-01101소태승차2219443561936677106128999710086535328126
32024-01-01101소태하차63538283140525573738595871049170585140
42024-01-01102학동증심사승차3446214756848196131108109919370292724159
52024-01-01102학동증심사하차14938419387639388558910688914736472727
62024-01-01103남광주승차1639517375111871101341241601221521278042383324
72024-01-01103남광주하차27475588594911141091451641481551297679715646
82024-01-01104문화전당승차5039203032507471878413218217321117516916714573
92024-01-01104문화전당하차327315973711011691992301712271881409276513840
일자역번호역명구분05_0606_0707_0808_0909_1010_1111_1212_1313_1414_1515_1616_1717_1818_1919_2020_2121_2222_2323_24
36302024-03-31115공항승차4121741805044615051586253314512991
36312024-03-31115공항하차492932463735264948664752534324252414
36322024-03-31116송정공원승차2337487499961031471971171001209879593828158
36332024-03-31116송정공원하차15163664685663618296134120170134911271196833
36342024-03-31117광주송정승차11185911716120327335522934125638555641332139542787206
36352024-03-31117광주송정하차354714913221334324221322219920931735536034741517712820
36362024-03-31118도산승차122849448559767811370705954523938241112
36372024-03-31118도산하차614174032403233555566861111175069483018
36382024-03-31119평동승차11243537474994881199496808551473318610
36392024-03-31119평동하차234445931473038768353921117210052482015