Overview

Dataset statistics

Number of variables26
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 MiB
Average record size in memory239.0 B

Variable types

Numeric23
DateTime1
Text1
Categorical1

Dataset

Description파일 다운로드
Author서울교통공사
URLhttps://data.seoul.go.kr/dataList/OA-12921/F/1/datasetView.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2024-03-13 09:00:11.489866
Analysis finished2024-03-13 09:00:11.962139
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18703.06
Minimum4
Maximum37408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:12.017681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile1955.75
Q19422.75
median18791
Q327906.5
95-th percentile35568.1
Maximum37408
Range37404
Interquartile range (IQR)18483.75

Descriptive statistics

Standard deviation10768.52
Coefficient of variation (CV)0.5757625
Kurtosis-1.196677
Mean18703.06
Median Absolute Deviation (MAD)9250
Skewness0.00073291967
Sum1.870306 × 108
Variance1.1596103 × 108
MonotonicityNot monotonic
2024-03-13T18:00:12.130174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35262 1
 
< 0.1%
36942 1
 
< 0.1%
25124 1
 
< 0.1%
33464 1
 
< 0.1%
19777 1
 
< 0.1%
11645 1
 
< 0.1%
27850 1
 
< 0.1%
10184 1
 
< 0.1%
26264 1
 
< 0.1%
9599 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
15 1
< 0.1%
17 1
< 0.1%
19 1
< 0.1%
20 1
< 0.1%
ValueCountFrequency (%)
37408 1
< 0.1%
37405 1
< 0.1%
37404 1
< 0.1%
37399 1
< 0.1%
37398 1
< 0.1%
37394 1
< 0.1%
37393 1
< 0.1%
37392 1
< 0.1%
37390 1
< 0.1%
37388 1
< 0.1%

날짜
Date

Distinct68
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-01-01 00:00:00
Maximum2021-03-09 00:00:00
2024-03-13T18:00:12.256918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T18:00:12.359974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

호선
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6222
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:12.451651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0276287
Coefficient of variation (CV)0.43867179
Kurtosis-1.2124492
Mean4.6222
Median Absolute Deviation (MAD)2
Skewness-0.074255463
Sum46222
Variance4.1112783
MonotonicityNot monotonic
2024-03-13T18:00:12.536778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 1911
19.1%
2 1878
18.8%
7 1793
17.9%
6 1304
13.0%
3 1206
12.1%
4 932
9.3%
8 602
 
6.0%
1 374
 
3.7%
ValueCountFrequency (%)
1 374
 
3.7%
2 1878
18.8%
3 1206
12.1%
4 932
9.3%
5 1911
19.1%
6 1304
13.0%
7 1793
17.9%
8 602
 
6.0%
ValueCountFrequency (%)
8 602
 
6.0%
7 1793
17.9%
6 1304
13.0%
5 1911
19.1%
4 932
9.3%
3 1206
12.1%
2 1878
18.8%
1 374
 
3.7%

역번호
Real number (ℝ)

Distinct280
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1614.7539
Minimum150
Maximum2827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:12.641430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile204
Q1316
median2527
Q32645
95-th percentile2814
Maximum2827
Range2677
Interquartile range (IQR)2329

Descriptive statistics

Standard deviation1176.84
Coefficient of variation (CV)0.72880459
Kurtosis-1.9164537
Mean1614.7539
Median Absolute Deviation (MAD)234
Skewness-0.24063262
Sum16147539
Variance1384952.5
MonotonicityNot monotonic
2024-03-13T18:00:12.756113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
154 48
 
0.5%
2748 48
 
0.5%
2729 47
 
0.5%
2825 46
 
0.5%
2526 46
 
0.5%
2629 46
 
0.5%
2625 46
 
0.5%
434 46
 
0.5%
2743 45
 
0.4%
2563 45
 
0.4%
Other values (270) 9537
95.4%
ValueCountFrequency (%)
150 35
0.4%
151 40
0.4%
152 29
0.3%
153 40
0.4%
154 48
0.5%
155 43
0.4%
156 30
0.3%
157 34
0.3%
158 35
0.4%
159 40
0.4%
ValueCountFrequency (%)
2827 37
0.4%
2826 40
0.4%
2825 46
0.5%
2824 39
0.4%
2823 32
0.3%
2822 38
0.4%
2821 37
0.4%
2820 30
0.3%
2819 27
0.3%
2818 42
0.4%

역명
Text

Distinct245
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T18:00:12.997380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length4.4092
Min length2

Characters and Unicode

Total characters44092
Distinct characters241
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장한평
2nd row창동
3rd row고덕
4th row신설동
5th row구산
ValueCountFrequency (%)
종로3가 119
 
1.2%
동대문역사문화공원(ddp 110
 
1.1%
건대입구 90
 
0.9%
동대문 87
 
0.9%
불광 86
 
0.9%
가락시장 83
 
0.8%
고속터미널 82
 
0.8%
삼각지 81
 
0.8%
합정 80
 
0.8%
을지로3가 79
 
0.8%
Other values (235) 9103
91.0%
2024-03-13T18:00:13.402634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 2263
 
5.1%
( 2263
 
5.1%
1813
 
4.1%
1798
 
4.1%
1255
 
2.8%
1097
 
2.5%
941
 
2.1%
752
 
1.7%
739
 
1.7%
711
 
1.6%
Other values (231) 30460
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38822
88.0%
Close Punctuation 2263
 
5.1%
Open Punctuation 2263
 
5.1%
Uppercase Letter 330
 
0.7%
Decimal Number 313
 
0.7%
Other Punctuation 101
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1813
 
4.7%
1798
 
4.6%
1255
 
3.2%
1097
 
2.8%
941
 
2.4%
752
 
1.9%
739
 
1.9%
711
 
1.8%
692
 
1.8%
610
 
1.6%
Other values (223) 28414
73.2%
Decimal Number
ValueCountFrequency (%)
3 198
63.3%
4 67
 
21.4%
5 48
 
15.3%
Uppercase Letter
ValueCountFrequency (%)
D 220
66.7%
P 110
33.3%
Close Punctuation
ValueCountFrequency (%)
) 2263
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2263
100.0%
Other Punctuation
ValueCountFrequency (%)
. 101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38822
88.0%
Common 4940
 
11.2%
Latin 330
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1813
 
4.7%
1798
 
4.6%
1255
 
3.2%
1097
 
2.8%
941
 
2.4%
752
 
1.9%
739
 
1.9%
711
 
1.8%
692
 
1.8%
610
 
1.6%
Other values (223) 28414
73.2%
Common
ValueCountFrequency (%)
) 2263
45.8%
( 2263
45.8%
3 198
 
4.0%
. 101
 
2.0%
4 67
 
1.4%
5 48
 
1.0%
Latin
ValueCountFrequency (%)
D 220
66.7%
P 110
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38822
88.0%
ASCII 5270
 
12.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 2263
42.9%
( 2263
42.9%
D 220
 
4.2%
3 198
 
3.8%
P 110
 
2.1%
. 101
 
1.9%
4 67
 
1.3%
5 48
 
0.9%
Hangul
ValueCountFrequency (%)
1813
 
4.7%
1798
 
4.6%
1255
 
3.2%
1097
 
2.8%
941
 
2.4%
752
 
1.9%
739
 
1.9%
711
 
1.8%
692
 
1.8%
610
 
1.6%
Other values (223) 28414
73.2%

구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
하차
5054 
승차
4946 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
하차 5054
50.5%
승차 4946
49.5%

Length

2024-03-13T18:00:13.528897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:00:13.603826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하차 5054
50.5%
승차 4946
49.5%

06시 이전
Real number (ℝ)

Distinct652
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.9094
Minimum0
Maximum1435
Zeros57
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:13.694439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q124
median50
Q3117
95-th percentile339
Maximum1435
Range1435
Interquartile range (IQR)93

Descriptive statistics

Standard deviation152.46571
Coefficient of variation (CV)1.4960908
Kurtosis25.559071
Mean101.9094
Median Absolute Deviation (MAD)33
Skewness4.3140563
Sum1019094
Variance23245.793
MonotonicityNot monotonic
2024-03-13T18:00:13.828442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 153
 
1.5%
13 137
 
1.4%
19 132
 
1.3%
16 131
 
1.3%
29 130
 
1.3%
11 130
 
1.3%
36 126
 
1.3%
24 125
 
1.2%
28 124
 
1.2%
18 123
 
1.2%
Other values (642) 8689
86.9%
ValueCountFrequency (%)
0 57
0.6%
1 50
0.5%
2 41
 
0.4%
3 43
 
0.4%
4 60
0.6%
5 59
0.6%
6 82
0.8%
7 97
1.0%
8 109
1.1%
9 109
1.1%
ValueCountFrequency (%)
1435 1
< 0.1%
1424 1
< 0.1%
1412 1
< 0.1%
1401 1
< 0.1%
1400 1
< 0.1%
1393 1
< 0.1%
1391 2
< 0.1%
1388 1
< 0.1%
1382 1
< 0.1%
1379 1
< 0.1%

06시-07시
Real number (ℝ)

Distinct1211
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean284.0972
Minimum0
Maximum2979
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:13.968061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33
Q189
median177
Q3358
95-th percentile889.05
Maximum2979
Range2979
Interquartile range (IQR)269

Descriptive statistics

Standard deviation313.03351
Coefficient of variation (CV)1.1018536
Kurtosis10.245142
Mean284.0972
Median Absolute Deviation (MAD)106
Skewness2.7040903
Sum2840972
Variance97989.981
MonotonicityNot monotonic
2024-03-13T18:00:14.082451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 54
 
0.5%
58 52
 
0.5%
53 51
 
0.5%
94 51
 
0.5%
84 49
 
0.5%
44 48
 
0.5%
56 46
 
0.5%
51 46
 
0.5%
91 45
 
0.4%
63 44
 
0.4%
Other values (1201) 9514
95.1%
ValueCountFrequency (%)
0 16
0.2%
3 2
 
< 0.1%
4 1
 
< 0.1%
5 2
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
8 5
 
0.1%
9 6
 
0.1%
10 6
 
0.1%
11 6
 
0.1%
ValueCountFrequency (%)
2979 1
< 0.1%
2860 1
< 0.1%
2825 1
< 0.1%
2804 1
< 0.1%
2799 1
< 0.1%
2702 1
< 0.1%
2627 1
< 0.1%
2626 1
< 0.1%
2606 1
< 0.1%
2599 1
< 0.1%

07시-08시
Real number (ℝ)

Distinct2415
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean720.2724
Minimum0
Maximum8610
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:14.191859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q1143
median329
Q3889
95-th percentile2662.55
Maximum8610
Range8610
Interquartile range (IQR)746

Descriptive statistics

Standard deviation983.26708
Coefficient of variation (CV)1.3651322
Kurtosis10.306315
Mean720.2724
Median Absolute Deviation (MAD)238
Skewness2.8442607
Sum7202724
Variance966814.14
MonotonicityNot monotonic
2024-03-13T18:00:14.326081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106 34
 
0.3%
59 34
 
0.3%
52 32
 
0.3%
139 30
 
0.3%
65 30
 
0.3%
103 30
 
0.3%
146 30
 
0.3%
46 29
 
0.3%
49 29
 
0.3%
83 29
 
0.3%
Other values (2405) 9693
96.9%
ValueCountFrequency (%)
0 16
0.2%
5 3
 
< 0.1%
6 1
 
< 0.1%
7 2
 
< 0.1%
10 3
 
< 0.1%
11 3
 
< 0.1%
12 8
0.1%
13 2
 
< 0.1%
14 4
 
< 0.1%
15 6
 
0.1%
ValueCountFrequency (%)
8610 1
< 0.1%
8477 1
< 0.1%
8398 1
< 0.1%
8349 1
< 0.1%
8109 1
< 0.1%
8024 1
< 0.1%
7937 1
< 0.1%
7910 1
< 0.1%
7889 1
< 0.1%
7824 1
< 0.1%

08시-09시
Real number (ℝ)

Distinct3204
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1279.5994
Minimum0
Maximum18260
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:14.700356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile73
Q1246
median646
Q31485.5
95-th percentile4843.2
Maximum18260
Range18260
Interquartile range (IQR)1239.5

Descriptive statistics

Standard deviation1926.3508
Coefficient of variation (CV)1.5054327
Kurtosis19.227306
Mean1279.5994
Median Absolute Deviation (MAD)475
Skewness3.7973193
Sum12795994
Variance3710827.3
MonotonicityNot monotonic
2024-03-13T18:00:14.814206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
168 22
 
0.2%
61 21
 
0.2%
171 21
 
0.2%
123 21
 
0.2%
133 20
 
0.2%
100 20
 
0.2%
114 19
 
0.2%
73 19
 
0.2%
129 19
 
0.2%
135 19
 
0.2%
Other values (3194) 9799
98.0%
ValueCountFrequency (%)
0 16
0.2%
11 1
 
< 0.1%
13 2
 
< 0.1%
14 1
 
< 0.1%
16 2
 
< 0.1%
17 3
 
< 0.1%
19 4
 
< 0.1%
20 3
 
< 0.1%
21 6
 
0.1%
22 4
 
< 0.1%
ValueCountFrequency (%)
18260 1
< 0.1%
18211 1
< 0.1%
18131 1
< 0.1%
17767 1
< 0.1%
17720 1
< 0.1%
17717 1
< 0.1%
17514 1
< 0.1%
17396 1
< 0.1%
17282 1
< 0.1%
17238 1
< 0.1%

09시-10시
Real number (ℝ)

Distinct2368
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean806.7902
Minimum0
Maximum13245
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:14.949864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile80.95
Q1229.75
median455
Q3911.25
95-th percentile2710
Maximum13245
Range13245
Interquartile range (IQR)681.5

Descriptive statistics

Standard deviation1174.1194
Coefficient of variation (CV)1.455297
Kurtosis27.978327
Mean806.7902
Median Absolute Deviation (MAD)278
Skewness4.5224788
Sum8067902
Variance1378556.3
MonotonicityNot monotonic
2024-03-13T18:00:15.088014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92 26
 
0.3%
322 24
 
0.2%
250 23
 
0.2%
124 22
 
0.2%
127 22
 
0.2%
211 21
 
0.2%
220 21
 
0.2%
282 20
 
0.2%
105 20
 
0.2%
126 20
 
0.2%
Other values (2358) 9781
97.8%
ValueCountFrequency (%)
0 16
0.2%
11 2
 
< 0.1%
12 2
 
< 0.1%
14 2
 
< 0.1%
15 1
 
< 0.1%
16 2
 
< 0.1%
17 2
 
< 0.1%
18 1
 
< 0.1%
19 3
 
< 0.1%
20 3
 
< 0.1%
ValueCountFrequency (%)
13245 1
< 0.1%
12702 1
< 0.1%
12641 1
< 0.1%
12459 1
< 0.1%
12399 1
< 0.1%
12011 1
< 0.1%
11994 1
< 0.1%
11729 1
< 0.1%
11330 1
< 0.1%
11302 1
< 0.1%

10시-11시
Real number (ℝ)

Distinct1755
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean506.3306
Minimum0
Maximum5787
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:15.234019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile78.95
Q1193
median359
Q3619
95-th percentile1561.05
Maximum5787
Range5787
Interquartile range (IQR)426

Descriptive statistics

Standard deviation510.06956
Coefficient of variation (CV)1.0073844
Kurtosis14.752755
Mean506.3306
Median Absolute Deviation (MAD)192
Skewness3.0494291
Sum5063306
Variance260170.95
MonotonicityNot monotonic
2024-03-13T18:00:15.388866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
169 33
 
0.3%
153 28
 
0.3%
166 28
 
0.3%
268 27
 
0.3%
143 26
 
0.3%
185 26
 
0.3%
215 25
 
0.2%
132 25
 
0.2%
154 25
 
0.2%
343 25
 
0.2%
Other values (1745) 9732
97.3%
ValueCountFrequency (%)
0 16
0.2%
10 1
 
< 0.1%
11 1
 
< 0.1%
13 3
 
< 0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
18 3
 
< 0.1%
19 1
 
< 0.1%
20 3
 
< 0.1%
21 1
 
< 0.1%
ValueCountFrequency (%)
5787 1
< 0.1%
5750 1
< 0.1%
5507 1
< 0.1%
5473 1
< 0.1%
5389 1
< 0.1%
5384 1
< 0.1%
5115 1
< 0.1%
4827 1
< 0.1%
4771 1
< 0.1%
4567 1
< 0.1%

11시-12시
Real number (ℝ)

Distinct1611
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean480.7761
Minimum0
Maximum4075
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:15.503061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile84
Q1202
median360
Q3600
95-th percentile1377.05
Maximum4075
Range4075
Interquartile range (IQR)398

Descriptive statistics

Standard deviation425.95319
Coefficient of variation (CV)0.88596998
Kurtosis8.3123478
Mean480.7761
Median Absolute Deviation (MAD)182
Skewness2.373048
Sum4807761
Variance181436.12
MonotonicityNot monotonic
2024-03-13T18:00:15.623657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
174 31
 
0.3%
158 30
 
0.3%
163 30
 
0.3%
164 28
 
0.3%
179 27
 
0.3%
181 27
 
0.3%
238 26
 
0.3%
347 26
 
0.3%
138 26
 
0.3%
168 26
 
0.3%
Other values (1601) 9723
97.2%
ValueCountFrequency (%)
0 16
0.2%
11 1
 
< 0.1%
16 2
 
< 0.1%
17 1
 
< 0.1%
18 3
 
< 0.1%
19 1
 
< 0.1%
20 3
 
< 0.1%
21 1
 
< 0.1%
22 5
 
0.1%
24 2
 
< 0.1%
ValueCountFrequency (%)
4075 1
< 0.1%
3918 1
< 0.1%
3885 1
< 0.1%
3791 1
< 0.1%
3758 1
< 0.1%
3717 1
< 0.1%
3713 1
< 0.1%
3695 1
< 0.1%
3501 1
< 0.1%
3493 1
< 0.1%

12시-13시
Real number (ℝ)

Distinct1697
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean517.794
Minimum0
Maximum5450
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:15.756209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile96
Q1229.75
median392
Q3643
95-th percentile1444
Maximum5450
Range5450
Interquartile range (IQR)413.25

Descriptive statistics

Standard deviation444.96328
Coefficient of variation (CV)0.85934421
Kurtosis9.7876312
Mean517.794
Median Absolute Deviation (MAD)191
Skewness2.4335887
Sum5177940
Variance197992.32
MonotonicityNot monotonic
2024-03-13T18:00:15.892332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
316 27
 
0.3%
250 25
 
0.2%
153 25
 
0.2%
330 25
 
0.2%
376 24
 
0.2%
226 24
 
0.2%
334 24
 
0.2%
202 24
 
0.2%
175 24
 
0.2%
234 23
 
0.2%
Other values (1687) 9755
97.5%
ValueCountFrequency (%)
0 16
0.2%
13 1
 
< 0.1%
18 1
 
< 0.1%
19 1
 
< 0.1%
20 3
 
< 0.1%
22 1
 
< 0.1%
23 2
 
< 0.1%
24 2
 
< 0.1%
25 1
 
< 0.1%
26 1
 
< 0.1%
ValueCountFrequency (%)
5450 1
< 0.1%
4958 1
< 0.1%
4256 1
< 0.1%
4209 1
< 0.1%
3983 1
< 0.1%
3937 1
< 0.1%
3901 1
< 0.1%
3735 1
< 0.1%
3697 1
< 0.1%
3503 1
< 0.1%

13시-14시
Real number (ℝ)

Distinct1782
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean559.4485
Minimum0
Maximum6474
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:16.007663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile105
Q1245
median418.5
Q3687
95-th percentile1566
Maximum6474
Range6474
Interquartile range (IQR)442

Descriptive statistics

Standard deviation490.58376
Coefficient of variation (CV)0.87690602
Kurtosis11.745815
Mean559.4485
Median Absolute Deviation (MAD)202.5
Skewness2.6034873
Sum5594485
Variance240672.42
MonotonicityNot monotonic
2024-03-13T18:00:16.113550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
256 27
 
0.3%
306 24
 
0.2%
244 24
 
0.2%
378 24
 
0.2%
201 24
 
0.2%
173 23
 
0.2%
291 23
 
0.2%
200 23
 
0.2%
192 22
 
0.2%
241 22
 
0.2%
Other values (1772) 9764
97.6%
ValueCountFrequency (%)
0 16
0.2%
12 1
 
< 0.1%
16 1
 
< 0.1%
19 2
 
< 0.1%
20 2
 
< 0.1%
21 2
 
< 0.1%
22 3
 
< 0.1%
23 1
 
< 0.1%
24 1
 
< 0.1%
25 2
 
< 0.1%
ValueCountFrequency (%)
6474 1
< 0.1%
5760 1
< 0.1%
4930 1
< 0.1%
4815 1
< 0.1%
4783 1
< 0.1%
4703 1
< 0.1%
4166 1
< 0.1%
4165 1
< 0.1%
4087 1
< 0.1%
4066 1
< 0.1%

14시-15시
Real number (ℝ)

Distinct1810
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean567.8422
Minimum0
Maximum6501
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:16.227682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile107
Q1248
median419
Q3697
95-th percentile1595
Maximum6501
Range6501
Interquartile range (IQR)449

Descriptive statistics

Standard deviation501.34095
Coefficient of variation (CV)0.8828878
Kurtosis11.565714
Mean567.8422
Median Absolute Deviation (MAD)204
Skewness2.6057375
Sum5678422
Variance251342.75
MonotonicityNot monotonic
2024-03-13T18:00:16.354743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
224 25
 
0.2%
253 24
 
0.2%
266 23
 
0.2%
250 22
 
0.2%
146 22
 
0.2%
328 22
 
0.2%
202 22
 
0.2%
228 22
 
0.2%
239 22
 
0.2%
381 21
 
0.2%
Other values (1800) 9775
97.8%
ValueCountFrequency (%)
0 16
0.2%
9 1
 
< 0.1%
16 1
 
< 0.1%
17 3
 
< 0.1%
18 1
 
< 0.1%
19 2
 
< 0.1%
21 1
 
< 0.1%
22 1
 
< 0.1%
24 4
 
< 0.1%
25 2
 
< 0.1%
ValueCountFrequency (%)
6501 1
< 0.1%
5839 1
< 0.1%
5058 1
< 0.1%
4935 1
< 0.1%
4616 1
< 0.1%
4432 1
< 0.1%
4384 1
< 0.1%
4302 1
< 0.1%
4176 1
< 0.1%
3964 1
< 0.1%

15시-16시
Real number (ℝ)

Distinct1884
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean609.3855
Minimum0
Maximum6617
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:16.486469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile113
Q1268
median449
Q3757.25
95-th percentile1703.05
Maximum6617
Range6617
Interquartile range (IQR)489.25

Descriptive statistics

Standard deviation542.37916
Coefficient of variation (CV)0.89004277
Kurtosis11.432424
Mean609.3855
Median Absolute Deviation (MAD)216
Skewness2.6323923
Sum6093855
Variance294175.15
MonotonicityNot monotonic
2024-03-13T18:00:16.615580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
283 23
 
0.2%
342 22
 
0.2%
233 22
 
0.2%
298 21
 
0.2%
352 21
 
0.2%
214 21
 
0.2%
262 21
 
0.2%
394 21
 
0.2%
275 21
 
0.2%
174 20
 
0.2%
Other values (1874) 9787
97.9%
ValueCountFrequency (%)
0 16
0.2%
19 1
 
< 0.1%
20 1
 
< 0.1%
21 1
 
< 0.1%
23 2
 
< 0.1%
24 4
 
< 0.1%
25 1
 
< 0.1%
26 4
 
< 0.1%
27 5
 
0.1%
28 4
 
< 0.1%
ValueCountFrequency (%)
6617 1
< 0.1%
5765 1
< 0.1%
5518 1
< 0.1%
5212 1
< 0.1%
5041 1
< 0.1%
5039 1
< 0.1%
4956 1
< 0.1%
4865 1
< 0.1%
4734 1
< 0.1%
4649 1
< 0.1%

16시-17시
Real number (ℝ)

Distinct2056
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean677.5475
Minimum0
Maximum6366
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:16.730153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile124
Q1294
median494
Q3838
95-th percentile1953.05
Maximum6366
Range6366
Interquartile range (IQR)544

Descriptive statistics

Standard deviation619.65773
Coefficient of variation (CV)0.91455984
Kurtosis10.905934
Mean677.5475
Median Absolute Deviation (MAD)241
Skewness2.6775155
Sum6775475
Variance383975.71
MonotonicityNot monotonic
2024-03-13T18:00:16.843244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
275 24
 
0.2%
185 23
 
0.2%
393 22
 
0.2%
282 22
 
0.2%
260 21
 
0.2%
320 21
 
0.2%
219 21
 
0.2%
316 21
 
0.2%
175 20
 
0.2%
240 19
 
0.2%
Other values (2046) 9786
97.9%
ValueCountFrequency (%)
0 16
0.2%
20 1
 
< 0.1%
21 1
 
< 0.1%
22 1
 
< 0.1%
23 1
 
< 0.1%
24 1
 
< 0.1%
26 3
 
< 0.1%
29 3
 
< 0.1%
30 3
 
< 0.1%
31 2
 
< 0.1%
ValueCountFrequency (%)
6366 1
< 0.1%
5993 1
< 0.1%
5846 1
< 0.1%
5769 1
< 0.1%
5728 1
< 0.1%
5517 1
< 0.1%
5440 1
< 0.1%
5352 1
< 0.1%
5275 1
< 0.1%
5240 1
< 0.1%

17시-18시
Real number (ℝ)

Distinct2511
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean885.1817
Minimum0
Maximum9266
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:16.957349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile132
Q1326
median591
Q31053
95-th percentile2785.05
Maximum9266
Range9266
Interquartile range (IQR)727

Descriptive statistics

Standard deviation961.10137
Coefficient of variation (CV)1.0857673
Kurtosis14.040083
Mean885.1817
Median Absolute Deviation (MAD)314
Skewness3.1571781
Sum8851817
Variance923715.84
MonotonicityNot monotonic
2024-03-13T18:00:17.071846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
432 20
 
0.2%
307 19
 
0.2%
229 19
 
0.2%
244 19
 
0.2%
398 18
 
0.2%
316 18
 
0.2%
282 18
 
0.2%
296 18
 
0.2%
277 18
 
0.2%
209 18
 
0.2%
Other values (2501) 9815
98.2%
ValueCountFrequency (%)
0 16
0.2%
22 1
 
< 0.1%
25 2
 
< 0.1%
26 1
 
< 0.1%
27 1
 
< 0.1%
29 1
 
< 0.1%
30 1
 
< 0.1%
33 4
 
< 0.1%
34 4
 
< 0.1%
35 5
 
0.1%
ValueCountFrequency (%)
9266 1
< 0.1%
9222 1
< 0.1%
8629 1
< 0.1%
8450 1
< 0.1%
8243 1
< 0.1%
8188 1
< 0.1%
7997 1
< 0.1%
7904 1
< 0.1%
7879 1
< 0.1%
7876 1
< 0.1%

18시-19시
Real number (ℝ)

Distinct3209
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1259.8013
Minimum0
Maximum14949
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:17.179654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile113
Q1334
median720
Q31469
95-th percentile4350.05
Maximum14949
Range14949
Interquartile range (IQR)1135

Descriptive statistics

Standard deviation1653.8632
Coefficient of variation (CV)1.3127969
Kurtosis15.582036
Mean1259.8013
Median Absolute Deviation (MAD)465
Skewness3.4119401
Sum12598013
Variance2735263.5
MonotonicityNot monotonic
2024-03-13T18:00:17.289952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
159 20
 
0.2%
220 19
 
0.2%
223 17
 
0.2%
288 17
 
0.2%
0 16
 
0.2%
349 16
 
0.2%
177 15
 
0.1%
251 15
 
0.1%
291 15
 
0.1%
150 15
 
0.1%
Other values (3199) 9835
98.4%
ValueCountFrequency (%)
0 16
0.2%
15 1
 
< 0.1%
17 1
 
< 0.1%
18 1
 
< 0.1%
19 3
 
< 0.1%
20 4
 
< 0.1%
22 2
 
< 0.1%
23 2
 
< 0.1%
24 2
 
< 0.1%
25 1
 
< 0.1%
ValueCountFrequency (%)
14949 1
< 0.1%
14885 1
< 0.1%
14514 1
< 0.1%
14400 1
< 0.1%
14165 1
< 0.1%
14159 1
< 0.1%
13921 1
< 0.1%
13913 1
< 0.1%
13908 1
< 0.1%
13843 1
< 0.1%

19시-20시
Real number (ℝ)

Distinct2519
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean806.4939
Minimum0
Maximum9236
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:17.431603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile77
Q1217
median459
Q3995
95-th percentile2692.15
Maximum9236
Range9236
Interquartile range (IQR)778

Descriptive statistics

Standard deviation996.29465
Coefficient of variation (CV)1.2353406
Kurtosis13.626336
Mean806.4939
Median Absolute Deviation (MAD)296
Skewness3.1009978
Sum8064939
Variance992603.04
MonotonicityNot monotonic
2024-03-13T18:00:17.586342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
225 24
 
0.2%
155 24
 
0.2%
156 23
 
0.2%
198 23
 
0.2%
174 22
 
0.2%
245 22
 
0.2%
188 22
 
0.2%
242 21
 
0.2%
265 21
 
0.2%
196 21
 
0.2%
Other values (2509) 9777
97.8%
ValueCountFrequency (%)
0 16
0.2%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
12 4
 
< 0.1%
13 3
 
< 0.1%
14 2
 
< 0.1%
15 1
 
< 0.1%
16 2
 
< 0.1%
17 2
 
< 0.1%
ValueCountFrequency (%)
9236 1
< 0.1%
9224 1
< 0.1%
8994 1
< 0.1%
8715 1
< 0.1%
8631 1
< 0.1%
8563 1
< 0.1%
8538 1
< 0.1%
8488 1
< 0.1%
8480 1
< 0.1%
8463 1
< 0.1%

20시-21시
Real number (ℝ)

Distinct1943
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean549.7835
Minimum0
Maximum7747
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:17.702491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile61
Q1166
median334
Q3678.25
95-th percentile1806.1
Maximum7747
Range7747
Interquartile range (IQR)512.25

Descriptive statistics

Standard deviation657.50951
Coefficient of variation (CV)1.1959426
Kurtosis15.928231
Mean549.7835
Median Absolute Deviation (MAD)201
Skewness3.2904766
Sum5497835
Variance432318.75
MonotonicityNot monotonic
2024-03-13T18:00:17.824850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
139 33
 
0.3%
136 31
 
0.3%
104 30
 
0.3%
110 29
 
0.3%
137 28
 
0.3%
142 28
 
0.3%
161 28
 
0.3%
133 28
 
0.3%
200 28
 
0.3%
157 27
 
0.3%
Other values (1933) 9710
97.1%
ValueCountFrequency (%)
0 16
0.2%
7 1
 
< 0.1%
8 2
 
< 0.1%
9 4
 
< 0.1%
10 2
 
< 0.1%
11 2
 
< 0.1%
12 2
 
< 0.1%
13 4
 
< 0.1%
14 3
 
< 0.1%
15 6
 
0.1%
ValueCountFrequency (%)
7747 1
< 0.1%
7514 1
< 0.1%
7266 1
< 0.1%
6757 1
< 0.1%
6481 1
< 0.1%
6310 1
< 0.1%
6229 1
< 0.1%
5692 1
< 0.1%
5662 1
< 0.1%
5564 1
< 0.1%

21시-22시
Real number (ℝ)

Distinct1973
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean568.1186
Minimum0
Maximum10862
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:17.963279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile59.95
Q1173
median351
Q3688
95-th percentile1889
Maximum10862
Range10862
Interquartile range (IQR)515

Descriptive statistics

Standard deviation696.04048
Coefficient of variation (CV)1.2251676
Kurtosis25.920626
Mean568.1186
Median Absolute Deviation (MAD)214
Skewness3.882666
Sum5681186
Variance484472.35
MonotonicityNot monotonic
2024-03-13T18:00:18.347677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91 32
 
0.3%
160 26
 
0.3%
108 26
 
0.3%
153 26
 
0.3%
208 25
 
0.2%
132 25
 
0.2%
121 25
 
0.2%
165 25
 
0.2%
114 25
 
0.2%
131 24
 
0.2%
Other values (1963) 9741
97.4%
ValueCountFrequency (%)
0 16
0.2%
6 2
 
< 0.1%
8 3
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
12 5
 
0.1%
13 2
 
< 0.1%
14 5
 
0.1%
15 8
0.1%
16 6
 
0.1%
ValueCountFrequency (%)
10862 1
< 0.1%
10288 1
< 0.1%
8564 1
< 0.1%
8346 1
< 0.1%
8161 1
< 0.1%
7364 1
< 0.1%
6819 1
< 0.1%
6816 1
< 0.1%
6328 1
< 0.1%
6170 1
< 0.1%

22시-23시
Real number (ℝ)

Distinct1331
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean317.8682
Minimum0
Maximum7708
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:18.511784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32
Q190
median186
Q3385
95-th percentile994.1
Maximum7708
Range7708
Interquartile range (IQR)295

Descriptive statistics

Standard deviation423.27756
Coefficient of variation (CV)1.3316134
Kurtosis41.856342
Mean317.8682
Median Absolute Deviation (MAD)117
Skewness4.8394418
Sum3178682
Variance179163.89
MonotonicityNot monotonic
2024-03-13T18:00:18.622038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53 50
 
0.5%
67 49
 
0.5%
41 47
 
0.5%
52 45
 
0.4%
82 44
 
0.4%
54 44
 
0.4%
87 44
 
0.4%
64 44
 
0.4%
47 43
 
0.4%
85 42
 
0.4%
Other values (1321) 9548
95.5%
ValueCountFrequency (%)
0 16
0.2%
2 3
 
< 0.1%
4 4
 
< 0.1%
5 4
 
< 0.1%
6 9
0.1%
7 15
0.1%
8 13
0.1%
9 14
0.1%
10 12
0.1%
11 12
0.1%
ValueCountFrequency (%)
7708 1
< 0.1%
6400 1
< 0.1%
6379 1
< 0.1%
6108 1
< 0.1%
5781 1
< 0.1%
5005 1
< 0.1%
4883 1
< 0.1%
4823 1
< 0.1%
4678 1
< 0.1%
4417 1
< 0.1%

23시 이후
Real number (ℝ)

Distinct654
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.2256
Minimum0
Maximum2091
Zeros17
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:18.740047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q133
median71
Q3144
95-th percentile356
Maximum2091
Range2091
Interquartile range (IQR)111

Descriptive statistics

Standard deviation142.3589
Coefficient of variation (CV)1.2354798
Kurtosis28.019359
Mean115.2256
Median Absolute Deviation (MAD)46
Skewness4.0748793
Sum1152256
Variance20266.056
MonotonicityNot monotonic
2024-03-13T18:00:18.860989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27 116
 
1.2%
33 104
 
1.0%
18 104
 
1.0%
20 103
 
1.0%
19 102
 
1.0%
28 101
 
1.0%
25 101
 
1.0%
15 101
 
1.0%
21 100
 
1.0%
32 99
 
1.0%
Other values (644) 8969
89.7%
ValueCountFrequency (%)
0 17
 
0.2%
1 11
 
0.1%
2 16
 
0.2%
3 32
0.3%
4 35
0.4%
5 39
0.4%
6 46
0.5%
7 41
0.4%
8 56
0.6%
9 61
0.6%
ValueCountFrequency (%)
2091 1
< 0.1%
1897 1
< 0.1%
1833 1
< 0.1%
1735 1
< 0.1%
1689 1
< 0.1%
1684 1
< 0.1%
1674 1
< 0.1%
1524 1
< 0.1%
1351 1
< 0.1%
1346 1
< 0.1%

합 계
Real number (ℝ)

Distinct8147
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11614.266
Minimum0
Maximum86076
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:00:18.978218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1849
Q14674.5
median8604
Q314978.25
95-th percentile32158.4
Maximum86076
Range86076
Interquartile range (IQR)10303.75

Descriptive statistics

Standard deviation10403.277
Coefficient of variation (CV)0.89573266
Kurtosis6.5594715
Mean11614.266
Median Absolute Deviation (MAD)4584.5
Skewness2.2085609
Sum1.1614266 × 108
Variance1.0822818 × 108
MonotonicityNot monotonic
2024-03-13T18:00:19.095955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16
 
0.2%
2199 6
 
0.1%
4086 5
 
0.1%
4728 5
 
0.1%
5603 4
 
< 0.1%
8885 4
 
< 0.1%
2513 4
 
< 0.1%
4826 4
 
< 0.1%
9281 4
 
< 0.1%
6381 4
 
< 0.1%
Other values (8137) 9944
99.4%
ValueCountFrequency (%)
0 16
0.2%
329 1
 
< 0.1%
341 1
 
< 0.1%
342 1
 
< 0.1%
348 1
 
< 0.1%
372 1
 
< 0.1%
386 1
 
< 0.1%
412 1
 
< 0.1%
415 1
 
< 0.1%
421 2
 
< 0.1%
ValueCountFrequency (%)
86076 1
< 0.1%
84483 1
< 0.1%
83087 1
< 0.1%
81666 1
< 0.1%
81204 1
< 0.1%
79851 1
< 0.1%
78084 1
< 0.1%
76738 1
< 0.1%
76483 1
< 0.1%
76287 1
< 0.1%

Sample

연번날짜호선역번호역명구분06시 이전06시-07시07시-08시08시-09시09시-10시10시-11시11시-12시12시-13시13시-14시14시-15시15시-16시16시-17시17시-18시18시-19시19시-20시20시-21시21시-22시22시-23시23시 이후합 계
35261352622021-03-0552544장한평하차2739994730671250644566530640586744947130725971910103284895741519413
185918602021-01-044412창동하차11137252313198716727298749491094123813781890312533171577123870732222306
13639136402021-01-2552553고덕하차5417730366333829332435338037341841355597511394775342631028134
21751217522021-02-092246신설동하차13752115633331671701531611881741461982221489210140183173
22548225492021-02-1062616구산승차145334964122855236733831829734729732930529813815015145176620
20314203152021-02-0652561마천승차16212126231232425829528529728027328024717096916526143858
184218432021-01-043338일원승차8228176473644039844334644348754669811185832712179375188039
22237222382021-02-102212건대입구하차414809402283161011381210151516971861232325393236376220941237180474336930882
22350223512021-02-103327신사승차87165309581442592884130213881772260331213658387729092657343357012830478
35001350022021-03-052213구의(광진구청)하차4535554616078165986897067969441181141319653762274115551381186572923694
연번날짜호선역번호역명구분06시 이전06시-07시07시-08시08시-09시09시-10시10시-11시11시-12시12시-13시13시-14시14시-15시15시-16시16시-17시17시-18시18시-19시19시-20시20시-21시21시-22시22시-23시23시 이후합 계
21969219702021-02-0952556올림픽공원(한국체대)하차22126177347170137109140168151174150206284279174236115463211
18934189352021-02-042225방배승차903519391301908585601562641700765106916222670103886210002727916055
10146101472021-01-193331남부터미널(예술의전당)승차762568591331104777985396810281102128915432871552622821399140359216825372
16283162842021-01-304411노원하차1416319455080773669492711251113120412691439128381967696448524014702
26187261882021-02-172247도림천하차13311062631007553594871496690107117604743201418
963196322021-01-184416미아사거리하차68223475120210658457837509181082128415402016399632521590160272827623695
12523125242021-01-2352550길동하차1485139221246288295349322336363448473396300200317197945083
22523225242021-02-1052555둔촌동하차12148326765370251285334433475524637770893576269431165957759
18642186432021-02-0352557방이승차81282768732353238258227280287317351551770365377594128206979
170317042021-01-042209한양대하차12207342849129849232727529129521317516729918511811652415754