Overview

Dataset statistics

Number of variables25
Number of observations245
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory53.7 KiB
Average record size in memory224.5 B

Variable types

DateTime1
Numeric24

Dataset

Description부산광역시 동백 택시 년도 별 시간대 별 데이터 콜 건수 현황 정보 입니다.(동백 택시 년도 별 시간대 별 택시 신청 콜 건수 정보 입니다.)
Author부산광역시
URLhttps://www.data.go.kr/data/15103371/fileData.do

Alerts

날짜 has unique valuesUnique
4_5 has 3 (1.2%) zerosZeros

Reproduction

Analysis started2023-12-12 11:50:40.086384
Analysis finished2023-12-12 11:50:40.386568
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

UNIQUE 

Distinct245
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2021-11-29 00:00:00
Maximum2022-07-31 00:00:00
2023-12-12T20:50:40.489385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:50:40.659952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

0_1
Real number (ℝ)

Distinct200
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean707.79184
Minimum0
Maximum7875
Zeros2
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:40.827382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile71
Q1127
median220
Q3542
95-th percentile3279.8
Maximum7875
Range7875
Interquartile range (IQR)415

Descriptive statistics

Standard deviation1227.861
Coefficient of variation (CV)1.734777
Kurtosis11.177718
Mean707.79184
Median Absolute Deviation (MAD)114
Skewness3.123661
Sum173409
Variance1507642.6
MonotonicityNot monotonic
2023-12-12T20:50:40.991853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132 4
 
1.6%
137 4
 
1.6%
230 3
 
1.2%
123 3
 
1.2%
121 3
 
1.2%
106 3
 
1.2%
0 2
 
0.8%
101 2
 
0.8%
84 2
 
0.8%
162 2
 
0.8%
Other values (190) 217
88.6%
ValueCountFrequency (%)
0 2
0.8%
19 1
0.4%
38 1
0.4%
42 1
0.4%
47 1
0.4%
52 1
0.4%
58 1
0.4%
62 1
0.4%
63 2
0.8%
64 1
0.4%
ValueCountFrequency (%)
7875 1
0.4%
6933 1
0.4%
6792 1
0.4%
6131 1
0.4%
4882 1
0.4%
4335 1
0.4%
4219 1
0.4%
3864 1
0.4%
3630 1
0.4%
3609 1
0.4%

1_2
Real number (ℝ)

Distinct172
Distinct (%)70.5%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean461.13525
Minimum0
Maximum4749
Zeros2
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:41.202217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30.45
Q177
median120
Q3182.75
95-th percentile2964.65
Maximum4749
Range4749
Interquartile range (IQR)105.75

Descriptive statistics

Standard deviation936.02393
Coefficient of variation (CV)2.0298252
Kurtosis7.1436425
Mean461.13525
Median Absolute Deviation (MAD)47
Skewness2.8092672
Sum112517
Variance876140.8
MonotonicityNot monotonic
2023-12-12T20:50:41.414808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76 5
 
2.0%
95 4
 
1.6%
120 4
 
1.6%
110 3
 
1.2%
90 3
 
1.2%
97 3
 
1.2%
85 3
 
1.2%
141 3
 
1.2%
87 3
 
1.2%
81 3
 
1.2%
Other values (162) 210
85.7%
ValueCountFrequency (%)
0 2
0.8%
3 1
0.4%
4 1
0.4%
12 1
0.4%
16 1
0.4%
22 1
0.4%
25 1
0.4%
26 1
0.4%
27 1
0.4%
28 1
0.4%
ValueCountFrequency (%)
4749 1
0.4%
4533 1
0.4%
4272 1
0.4%
4170 1
0.4%
4003 1
0.4%
3644 1
0.4%
3304 1
0.4%
3256 1
0.4%
3247 1
0.4%
3222 1
0.4%

2_3
Real number (ℝ)

Distinct143
Distinct (%)58.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272.31837
Minimum0
Maximum3420
Zeros2
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:41.556888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.6
Q146
median76
Q3110
95-th percentile1614.6
Maximum3420
Range3420
Interquartile range (IQR)64

Descriptive statistics

Standard deviation617.99761
Coefficient of variation (CV)2.2693938
Kurtosis11.179637
Mean272.31837
Median Absolute Deviation (MAD)31
Skewness3.3861555
Sum66718
Variance381921.05
MonotonicityNot monotonic
2023-12-12T20:50:41.713734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 8
 
3.3%
40 6
 
2.4%
53 5
 
2.0%
85 5
 
2.0%
60 5
 
2.0%
79 5
 
2.0%
25 4
 
1.6%
56 4
 
1.6%
90 4
 
1.6%
63 4
 
1.6%
Other values (133) 195
79.6%
ValueCountFrequency (%)
0 2
0.8%
3 1
0.4%
4 1
0.4%
6 1
0.4%
8 1
0.4%
12 1
0.4%
13 2
0.8%
14 1
0.4%
17 1
0.4%
18 1
0.4%
ValueCountFrequency (%)
3420 1
0.4%
3296 1
0.4%
3127 1
0.4%
2977 1
0.4%
2759 1
0.4%
2724 1
0.4%
2667 1
0.4%
2441 1
0.4%
2378 1
0.4%
2139 1
0.4%

3_4
Real number (ℝ)

Distinct115
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.12653
Minimum0
Maximum2004
Zeros2
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:41.878293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q131
median50
Q373
95-th percentile772.2
Maximum2004
Range2004
Interquartile range (IQR)42

Descriptive statistics

Standard deviation347.09576
Coefficient of variation (CV)2.3753096
Kurtosis16.8613
Mean146.12653
Median Absolute Deviation (MAD)21
Skewness4.08475
Sum35801
Variance120475.46
MonotonicityNot monotonic
2023-12-12T20:50:42.056750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29 6
 
2.4%
41 6
 
2.4%
49 5
 
2.0%
39 5
 
2.0%
30 5
 
2.0%
54 5
 
2.0%
56 5
 
2.0%
26 4
 
1.6%
32 4
 
1.6%
71 4
 
1.6%
Other values (105) 196
80.0%
ValueCountFrequency (%)
0 2
0.8%
1 2
0.8%
2 1
 
0.4%
3 2
0.8%
4 1
 
0.4%
6 1
 
0.4%
7 2
0.8%
9 1
 
0.4%
12 3
1.2%
14 1
 
0.4%
ValueCountFrequency (%)
2004 1
0.4%
1982 1
0.4%
1973 1
0.4%
1908 1
0.4%
1858 1
0.4%
1797 1
0.4%
1602 1
0.4%
1222 1
0.4%
1122 1
0.4%
1074 1
0.4%

4_5
Real number (ℝ)

ZEROS 

Distinct150
Distinct (%)61.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.83673
Minimum0
Maximum2681
Zeros3
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:42.246756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22.4
Q154
median77
Q3125
95-th percentile793.8
Maximum2681
Range2681
Interquartile range (IQR)71

Descriptive statistics

Standard deviation328.87738
Coefficient of variation (CV)1.8810543
Kurtosis20.366847
Mean174.83673
Median Absolute Deviation (MAD)34
Skewness4.1989397
Sum42835
Variance108160.33
MonotonicityNot monotonic
2023-12-12T20:50:42.404569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67 6
 
2.4%
74 6
 
2.4%
37 5
 
2.0%
103 5
 
2.0%
35 4
 
1.6%
63 4
 
1.6%
75 4
 
1.6%
92 4
 
1.6%
59 4
 
1.6%
64 4
 
1.6%
Other values (140) 199
81.2%
ValueCountFrequency (%)
0 3
1.2%
2 1
 
0.4%
8 1
 
0.4%
9 1
 
0.4%
12 2
0.8%
15 1
 
0.4%
17 2
0.8%
21 1
 
0.4%
22 1
 
0.4%
24 1
 
0.4%
ValueCountFrequency (%)
2681 1
0.4%
1690 1
0.4%
1584 1
0.4%
1516 1
0.4%
1430 1
0.4%
1366 1
0.4%
1364 1
0.4%
1338 1
0.4%
1291 1
0.4%
1285 1
0.4%

5_6
Real number (ℝ)

Distinct147
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.26939
Minimum0
Maximum992
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:42.861662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26.8
Q174
median109
Q3149
95-th percentile485
Maximum992
Range992
Interquartile range (IQR)75

Descriptive statistics

Standard deviation154.13314
Coefficient of variation (CV)1.061016
Kurtosis12.475774
Mean145.26939
Median Absolute Deviation (MAD)36
Skewness3.3515317
Sum35591
Variance23757.025
MonotonicityNot monotonic
2023-12-12T20:50:43.034468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 6
 
2.4%
152 5
 
2.0%
110 4
 
1.6%
94 4
 
1.6%
103 4
 
1.6%
98 4
 
1.6%
25 4
 
1.6%
124 4
 
1.6%
79 4
 
1.6%
122 4
 
1.6%
Other values (137) 202
82.4%
ValueCountFrequency (%)
0 1
 
0.4%
1 1
 
0.4%
5 1
 
0.4%
10 1
 
0.4%
16 2
0.8%
22 1
 
0.4%
24 1
 
0.4%
25 4
1.6%
26 1
 
0.4%
30 1
 
0.4%
ValueCountFrequency (%)
992 1
0.4%
977 1
0.4%
891 1
0.4%
854 1
0.4%
736 1
0.4%
696 1
0.4%
666 1
0.4%
650 1
0.4%
647 1
0.4%
544 1
0.4%

6_7
Real number (ℝ)

Distinct160
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162.7551
Minimum0
Maximum500
Zeros2
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:43.191904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44.6
Q1110
median168
Q3211
95-th percentile264.4
Maximum500
Range500
Interquartile range (IQR)101

Descriptive statistics

Standard deviation73.563937
Coefficient of variation (CV)0.45199159
Kurtosis1.9546245
Mean162.7551
Median Absolute Deviation (MAD)48
Skewness0.58802698
Sum39875
Variance5411.6529
MonotonicityNot monotonic
2023-12-12T20:50:43.372870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207 4
 
1.6%
100 4
 
1.6%
216 4
 
1.6%
221 4
 
1.6%
227 4
 
1.6%
197 3
 
1.2%
202 3
 
1.2%
132 3
 
1.2%
117 3
 
1.2%
178 3
 
1.2%
Other values (150) 210
85.7%
ValueCountFrequency (%)
0 2
0.8%
12 1
0.4%
15 1
0.4%
24 1
0.4%
25 1
0.4%
32 1
0.4%
37 2
0.8%
38 1
0.4%
41 1
0.4%
42 1
0.4%
ValueCountFrequency (%)
500 1
0.4%
407 1
0.4%
395 1
0.4%
389 1
0.4%
378 1
0.4%
310 2
0.8%
309 1
0.4%
279 1
0.4%
276 1
0.4%
274 1
0.4%

7_8
Real number (ℝ)

Distinct220
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean494.77143
Minimum17
Maximum3071
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:43.553134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile85.2
Q1188
median433
Q3622
95-th percentile1133.6
Maximum3071
Range3054
Interquartile range (IQR)434

Descriptive statistics

Standard deviation435.54058
Coefficient of variation (CV)0.88028644
Kurtosis11.66916
Mean494.77143
Median Absolute Deviation (MAD)226
Skewness2.7637965
Sum121219
Variance189695.6
MonotonicityNot monotonic
2023-12-12T20:50:43.752599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321 3
 
1.2%
106 3
 
1.2%
136 2
 
0.8%
366 2
 
0.8%
476 2
 
0.8%
95 2
 
0.8%
725 2
 
0.8%
122 2
 
0.8%
534 2
 
0.8%
563 2
 
0.8%
Other values (210) 223
91.0%
ValueCountFrequency (%)
17 1
0.4%
23 1
0.4%
37 1
0.4%
40 2
0.8%
51 1
0.4%
54 1
0.4%
59 1
0.4%
67 1
0.4%
69 1
0.4%
74 1
0.4%
ValueCountFrequency (%)
3071 1
0.4%
2959 1
0.4%
2600 1
0.4%
2424 1
0.4%
1848 1
0.4%
1736 1
0.4%
1480 1
0.4%
1474 1
0.4%
1288 1
0.4%
1211 1
0.4%

8_9
Real number (ℝ)

Distinct232
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1074.7102
Minimum40
Maximum7009
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:43.957459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile169.2
Q1428
median888
Q31332
95-th percentile2802.8
Maximum7009
Range6969
Interquartile range (IQR)904

Descriptive statistics

Standard deviation966.17661
Coefficient of variation (CV)0.89901129
Kurtosis9.0681562
Mean1074.7102
Median Absolute Deviation (MAD)460
Skewness2.3950929
Sum263304
Variance933497.24
MonotonicityNot monotonic
2023-12-12T20:50:44.118057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
255 3
 
1.2%
251 3
 
1.2%
597 2
 
0.8%
221 2
 
0.8%
2809 2
 
0.8%
709 2
 
0.8%
507 2
 
0.8%
594 2
 
0.8%
982 2
 
0.8%
207 2
 
0.8%
Other values (222) 223
91.0%
ValueCountFrequency (%)
40 1
0.4%
51 1
0.4%
79 1
0.4%
102 1
0.4%
106 1
0.4%
113 1
0.4%
125 1
0.4%
131 1
0.4%
138 1
0.4%
141 1
0.4%
ValueCountFrequency (%)
7009 1
0.4%
6193 1
0.4%
4718 1
0.4%
4086 1
0.4%
3897 1
0.4%
3529 1
0.4%
3501 1
0.4%
3199 1
0.4%
3173 1
0.4%
2976 1
0.4%

9_10
Real number (ℝ)

Distinct209
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean518.8449
Minimum21
Maximum2438
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:44.266577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile167
Q1356
median508
Q3619
95-th percentile841.4
Maximum2438
Range2417
Interquartile range (IQR)263

Descriptive statistics

Standard deviation257.37931
Coefficient of variation (CV)0.49606213
Kurtosis14.832639
Mean518.8449
Median Absolute Deviation (MAD)135
Skewness2.4781832
Sum127117
Variance66244.107
MonotonicityNot monotonic
2023-12-12T20:50:44.411741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
589 3
 
1.2%
562 3
 
1.2%
600 2
 
0.8%
308 2
 
0.8%
713 2
 
0.8%
771 2
 
0.8%
385 2
 
0.8%
427 2
 
0.8%
610 2
 
0.8%
354 2
 
0.8%
Other values (199) 223
91.0%
ValueCountFrequency (%)
21 1
0.4%
86 1
0.4%
94 1
0.4%
105 1
0.4%
106 1
0.4%
121 2
0.8%
124 1
0.4%
125 1
0.4%
129 1
0.4%
163 1
0.4%
ValueCountFrequency (%)
2438 1
0.4%
1725 1
0.4%
1655 1
0.4%
1278 1
0.4%
1078 1
0.4%
1022 1
0.4%
954 1
0.4%
929 1
0.4%
915 1
0.4%
900 1
0.4%

10_11
Real number (ℝ)

Distinct186
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean341.02449
Minimum24
Maximum1425
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:44.580772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile119.6
Q1260
median344
Q3406
95-th percentile554.2
Maximum1425
Range1401
Interquartile range (IQR)146

Descriptive statistics

Standard deviation142.64239
Coefficient of variation (CV)0.41827609
Kurtosis13.162198
Mean341.02449
Median Absolute Deviation (MAD)74
Skewness1.8882989
Sum83551
Variance20346.852
MonotonicityNot monotonic
2023-12-12T20:50:44.732309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
386 5
 
2.0%
352 4
 
1.6%
311 3
 
1.2%
401 3
 
1.2%
367 3
 
1.2%
211 3
 
1.2%
345 3
 
1.2%
305 3
 
1.2%
266 3
 
1.2%
362 3
 
1.2%
Other values (176) 212
86.5%
ValueCountFrequency (%)
24 1
0.4%
48 1
0.4%
57 1
0.4%
59 1
0.4%
70 1
0.4%
80 1
0.4%
83 1
0.4%
90 1
0.4%
94 1
0.4%
95 1
0.4%
ValueCountFrequency (%)
1425 1
0.4%
766 1
0.4%
710 1
0.4%
680 1
0.4%
665 1
0.4%
651 1
0.4%
646 1
0.4%
607 1
0.4%
588 1
0.4%
586 1
0.4%

11_12
Real number (ℝ)

Distinct184
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean312.97551
Minimum31
Maximum1846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:44.902745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile111.2
Q1228
median278
Q3357
95-th percentile605.2
Maximum1846
Range1815
Interquartile range (IQR)129

Descriptive statistics

Standard deviation179.61658
Coefficient of variation (CV)0.57389978
Kurtosis22.23836
Mean312.97551
Median Absolute Deviation (MAD)66
Skewness3.3515203
Sum76679
Variance32262.114
MonotonicityNot monotonic
2023-12-12T20:50:45.068074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
243 6
 
2.4%
242 4
 
1.6%
192 4
 
1.6%
362 4
 
1.6%
246 4
 
1.6%
281 3
 
1.2%
309 3
 
1.2%
298 3
 
1.2%
290 3
 
1.2%
274 3
 
1.2%
Other values (174) 208
84.9%
ValueCountFrequency (%)
31 1
0.4%
42 1
0.4%
46 1
0.4%
48 1
0.4%
50 1
0.4%
53 1
0.4%
65 1
0.4%
84 1
0.4%
87 1
0.4%
97 1
0.4%
ValueCountFrequency (%)
1846 1
0.4%
919 1
0.4%
916 1
0.4%
900 1
0.4%
824 1
0.4%
769 1
0.4%
746 1
0.4%
678 1
0.4%
663 1
0.4%
648 1
0.4%

12_13
Real number (ℝ)

Distinct184
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343.35102
Minimum24
Maximum1703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:45.219397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile110.4
Q1219
median291
Q3367
95-th percentile822
Maximum1703
Range1679
Interquartile range (IQR)148

Descriptive statistics

Standard deviation232.51566
Coefficient of variation (CV)0.67719519
Kurtosis8.4278415
Mean343.35102
Median Absolute Deviation (MAD)74
Skewness2.5332881
Sum84121
Variance54063.532
MonotonicityNot monotonic
2023-12-12T20:50:45.402048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
243 5
 
2.0%
278 4
 
1.6%
169 4
 
1.6%
303 3
 
1.2%
207 3
 
1.2%
331 3
 
1.2%
376 3
 
1.2%
219 3
 
1.2%
212 3
 
1.2%
157 3
 
1.2%
Other values (174) 211
86.1%
ValueCountFrequency (%)
24 1
0.4%
44 1
0.4%
53 1
0.4%
55 1
0.4%
63 1
0.4%
77 1
0.4%
79 1
0.4%
80 1
0.4%
86 1
0.4%
92 1
0.4%
ValueCountFrequency (%)
1703 1
0.4%
1338 1
0.4%
1276 1
0.4%
1249 1
0.4%
1238 1
0.4%
1112 1
0.4%
1004 1
0.4%
995 1
0.4%
963 1
0.4%
871 1
0.4%

13_14
Real number (ℝ)

Distinct191
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean348.15102
Minimum37
Maximum1377
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:45.570619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile111.2
Q1227
median313
Q3382
95-th percentile786.2
Maximum1377
Range1340
Interquartile range (IQR)155

Descriptive statistics

Standard deviation208.20245
Coefficient of variation (CV)0.59802338
Kurtosis5.204172
Mean348.15102
Median Absolute Deviation (MAD)79
Skewness1.983783
Sum85297
Variance43348.26
MonotonicityNot monotonic
2023-12-12T20:50:45.740214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344 5
 
2.0%
346 4
 
1.6%
366 3
 
1.2%
244 3
 
1.2%
247 2
 
0.8%
273 2
 
0.8%
330 2
 
0.8%
246 2
 
0.8%
341 2
 
0.8%
301 2
 
0.8%
Other values (181) 218
89.0%
ValueCountFrequency (%)
37 1
0.4%
45 1
0.4%
48 1
0.4%
60 1
0.4%
78 1
0.4%
79 1
0.4%
80 1
0.4%
81 1
0.4%
83 1
0.4%
87 1
0.4%
ValueCountFrequency (%)
1377 1
0.4%
1256 1
0.4%
1146 1
0.4%
1081 1
0.4%
995 1
0.4%
942 1
0.4%
940 1
0.4%
930 1
0.4%
918 1
0.4%
901 1
0.4%

14_15
Real number (ℝ)

Distinct185
Distinct (%)75.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280.83673
Minimum1
Maximum1294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:45.898597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile100.6
Q1197
median259
Q3328
95-th percentile513.6
Maximum1294
Range1293
Interquartile range (IQR)131

Descriptive statistics

Standard deviation142.67608
Coefficient of variation (CV)0.50803925
Kurtosis11.253665
Mean280.83673
Median Absolute Deviation (MAD)66
Skewness2.2315951
Sum68805
Variance20356.465
MonotonicityNot monotonic
2023-12-12T20:50:46.074996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
218 3
 
1.2%
279 3
 
1.2%
244 3
 
1.2%
170 3
 
1.2%
295 3
 
1.2%
281 3
 
1.2%
242 3
 
1.2%
309 3
 
1.2%
236 3
 
1.2%
299 3
 
1.2%
Other values (175) 215
87.8%
ValueCountFrequency (%)
1 1
0.4%
25 1
0.4%
27 1
0.4%
37 1
0.4%
58 1
0.4%
63 1
0.4%
73 1
0.4%
78 1
0.4%
80 1
0.4%
86 1
0.4%
ValueCountFrequency (%)
1294 1
0.4%
858 1
0.4%
816 1
0.4%
677 1
0.4%
637 1
0.4%
603 1
0.4%
594 1
0.4%
564 1
0.4%
554 1
0.4%
553 1
0.4%

15_16
Real number (ℝ)

Distinct184
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean283.44898
Minimum24
Maximum1574
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:46.221202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile104.2
Q1210
median271
Q3332
95-th percentile496.2
Maximum1574
Range1550
Interquartile range (IQR)122

Descriptive statistics

Standard deviation140.00288
Coefficient of variation (CV)0.4939262
Kurtosis28.93542
Mean283.44898
Median Absolute Deviation (MAD)61
Skewness3.5050751
Sum69445
Variance19600.806
MonotonicityNot monotonic
2023-12-12T20:50:46.377203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
224 5
 
2.0%
265 4
 
1.6%
309 4
 
1.6%
249 3
 
1.2%
326 3
 
1.2%
231 3
 
1.2%
281 3
 
1.2%
207 3
 
1.2%
280 3
 
1.2%
294 3
 
1.2%
Other values (174) 211
86.1%
ValueCountFrequency (%)
24 1
0.4%
30 1
0.4%
35 1
0.4%
61 1
0.4%
66 1
0.4%
72 1
0.4%
81 1
0.4%
87 1
0.4%
101 2
0.8%
102 1
0.4%
ValueCountFrequency (%)
1574 1
0.4%
685 1
0.4%
641 1
0.4%
623 1
0.4%
600 1
0.4%
559 1
0.4%
534 1
0.4%
530 1
0.4%
528 1
0.4%
516 1
0.4%

16_17
Real number (ℝ)

Distinct197
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean351.77143
Minimum31
Maximum1784
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:46.558349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile113.6
Q1245
median325
Q3413
95-th percentile729
Maximum1784
Range1753
Interquartile range (IQR)168

Descriptive statistics

Standard deviation185.88088
Coefficient of variation (CV)0.52841381
Kurtosis14.266582
Mean351.77143
Median Absolute Deviation (MAD)87
Skewness2.4812956
Sum86184
Variance34551.702
MonotonicityNot monotonic
2023-12-12T20:50:46.719182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
392 4
 
1.6%
281 4
 
1.6%
354 4
 
1.6%
404 3
 
1.2%
306 3
 
1.2%
270 3
 
1.2%
457 3
 
1.2%
288 3
 
1.2%
272 3
 
1.2%
230 3
 
1.2%
Other values (187) 212
86.5%
ValueCountFrequency (%)
31 1
0.4%
41 1
0.4%
43 1
0.4%
70 1
0.4%
80 1
0.4%
84 1
0.4%
88 1
0.4%
89 1
0.4%
103 1
0.4%
106 1
0.4%
ValueCountFrequency (%)
1784 1
0.4%
980 1
0.4%
848 1
0.4%
816 1
0.4%
790 1
0.4%
776 1
0.4%
775 1
0.4%
772 1
0.4%
752 1
0.4%
749 1
0.4%

17_18
Real number (ℝ)

Distinct213
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean503.72653
Minimum32
Maximum2800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:46.859982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile156
Q1302
median414
Q3584
95-th percentile1214.6
Maximum2800
Range2768
Interquartile range (IQR)282

Descriptive statistics

Standard deviation344.3111
Coefficient of variation (CV)0.68352783
Kurtosis9.3798579
Mean503.72653
Median Absolute Deviation (MAD)131
Skewness2.4399484
Sum123413
Variance118550.13
MonotonicityNot monotonic
2023-12-12T20:50:47.013579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
316 3
 
1.2%
338 3
 
1.2%
296 3
 
1.2%
283 3
 
1.2%
434 2
 
0.8%
258 2
 
0.8%
275 2
 
0.8%
378 2
 
0.8%
324 2
 
0.8%
358 2
 
0.8%
Other values (203) 221
90.2%
ValueCountFrequency (%)
32 1
0.4%
39 1
0.4%
81 1
0.4%
85 1
0.4%
91 1
0.4%
102 1
0.4%
118 1
0.4%
137 1
0.4%
140 1
0.4%
144 1
0.4%
ValueCountFrequency (%)
2800 1
0.4%
1769 1
0.4%
1668 1
0.4%
1585 1
0.4%
1549 1
0.4%
1493 1
0.4%
1482 1
0.4%
1462 1
0.4%
1442 1
0.4%
1318 1
0.4%

18_19
Real number (ℝ)

Distinct214
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean700.70204
Minimum29
Maximum3702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:47.508201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile181.2
Q1363
median506
Q3832
95-th percentile1768.6
Maximum3702
Range3673
Interquartile range (IQR)469

Descriptive statistics

Standard deviation555.82821
Coefficient of variation (CV)0.79324474
Kurtosis6.4777933
Mean700.70204
Median Absolute Deviation (MAD)195
Skewness2.1919593
Sum171672
Variance308945
MonotonicityNot monotonic
2023-12-12T20:50:47.674584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
503 3
 
1.2%
477 3
 
1.2%
676 2
 
0.8%
454 2
 
0.8%
708 2
 
0.8%
512 2
 
0.8%
607 2
 
0.8%
520 2
 
0.8%
346 2
 
0.8%
280 2
 
0.8%
Other values (204) 223
91.0%
ValueCountFrequency (%)
29 1
0.4%
48 1
0.4%
85 1
0.4%
113 1
0.4%
118 1
0.4%
128 1
0.4%
140 1
0.4%
146 1
0.4%
152 1
0.4%
153 1
0.4%
ValueCountFrequency (%)
3702 1
0.4%
3451 1
0.4%
2872 1
0.4%
2731 1
0.4%
2188 1
0.4%
2183 1
0.4%
2053 1
0.4%
1968 1
0.4%
1923 1
0.4%
1853 1
0.4%

19_20
Real number (ℝ)

Distinct211
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean481.1551
Minimum43
Maximum3783
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:47.862050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile132.2
Q1270
median354
Q3550
95-th percentile1242
Maximum3783
Range3740
Interquartile range (IQR)280

Descriptive statistics

Standard deviation396.18381
Coefficient of variation (CV)0.82340146
Kurtosis19.860577
Mean481.1551
Median Absolute Deviation (MAD)142
Skewness3.2943727
Sum117883
Variance156961.62
MonotonicityNot monotonic
2023-12-12T20:50:48.062973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
276 4
 
1.6%
274 4
 
1.6%
334 3
 
1.2%
281 3
 
1.2%
286 2
 
0.8%
155 2
 
0.8%
157 2
 
0.8%
339 2
 
0.8%
421 2
 
0.8%
271 2
 
0.8%
Other values (201) 219
89.4%
ValueCountFrequency (%)
43 1
0.4%
54 1
0.4%
63 1
0.4%
67 1
0.4%
76 1
0.4%
88 1
0.4%
89 1
0.4%
98 1
0.4%
119 1
0.4%
120 1
0.4%
ValueCountFrequency (%)
3783 1
0.4%
1776 1
0.4%
1774 1
0.4%
1543 1
0.4%
1501 1
0.4%
1387 1
0.4%
1382 1
0.4%
1368 1
0.4%
1335 1
0.4%
1294 1
0.4%

20_21
Real number (ℝ)

Distinct206
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean475.53061
Minimum26
Maximum4032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:48.288911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile111.4
Q1249
median355
Q3544
95-th percentile1082.8
Maximum4032
Range4006
Interquartile range (IQR)295

Descriptive statistics

Standard deviation438.15615
Coefficient of variation (CV)0.92140471
Kurtosis33.436108
Mean475.53061
Median Absolute Deviation (MAD)128
Skewness4.6986253
Sum116505
Variance191980.81
MonotonicityNot monotonic
2023-12-12T20:50:48.519765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
309 4
 
1.6%
222 3
 
1.2%
281 3
 
1.2%
354 3
 
1.2%
342 3
 
1.2%
251 3
 
1.2%
272 2
 
0.8%
166 2
 
0.8%
159 2
 
0.8%
183 2
 
0.8%
Other values (196) 218
89.0%
ValueCountFrequency (%)
26 1
0.4%
37 1
0.4%
41 1
0.4%
51 1
0.4%
56 1
0.4%
75 1
0.4%
85 1
0.4%
92 2
0.8%
99 1
0.4%
101 1
0.4%
ValueCountFrequency (%)
4032 1
0.4%
3985 1
0.4%
1524 1
0.4%
1514 1
0.4%
1394 1
0.4%
1381 1
0.4%
1347 1
0.4%
1328 1
0.4%
1319 1
0.4%
1284 1
0.4%

21_22
Real number (ℝ)

Distinct223
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean618.78367
Minimum32
Maximum3813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:48.753330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile121.8
Q1309
median463
Q3773
95-th percentile1460.4
Maximum3813
Range3781
Interquartile range (IQR)464

Descriptive statistics

Standard deviation504.52813
Coefficient of variation (CV)0.81535462
Kurtosis13.304841
Mean618.78367
Median Absolute Deviation (MAD)193
Skewness2.895958
Sum151602
Variance254548.63
MonotonicityNot monotonic
2023-12-12T20:50:48.954398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
525 3
 
1.2%
1084 3
 
1.2%
322 3
 
1.2%
239 2
 
0.8%
290 2
 
0.8%
394 2
 
0.8%
325 2
 
0.8%
653 2
 
0.8%
455 2
 
0.8%
361 2
 
0.8%
Other values (213) 222
90.6%
ValueCountFrequency (%)
32 1
0.4%
34 1
0.4%
62 1
0.4%
82 1
0.4%
83 1
0.4%
85 1
0.4%
86 1
0.4%
88 1
0.4%
98 1
0.4%
105 1
0.4%
ValueCountFrequency (%)
3813 1
0.4%
3590 1
0.4%
3277 1
0.4%
2175 1
0.4%
1812 1
0.4%
1681 1
0.4%
1615 1
0.4%
1547 2
0.8%
1499 1
0.4%
1495 1
0.4%

22_23
Real number (ℝ)

Distinct213
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean473.86531
Minimum38
Maximum3379
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:49.164730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile110.2
Q1237
median351
Q3594
95-th percentile1219.6
Maximum3379
Range3341
Interquartile range (IQR)357

Descriptive statistics

Standard deviation413.21688
Coefficient of variation (CV)0.87201337
Kurtosis15.501342
Mean473.86531
Median Absolute Deviation (MAD)159
Skewness3.1248022
Sum116097
Variance170748.19
MonotonicityNot monotonic
2023-12-12T20:50:49.317088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 3
 
1.2%
183 3
 
1.2%
236 2
 
0.8%
226 2
 
0.8%
149 2
 
0.8%
261 2
 
0.8%
134 2
 
0.8%
291 2
 
0.8%
403 2
 
0.8%
211 2
 
0.8%
Other values (203) 223
91.0%
ValueCountFrequency (%)
38 1
0.4%
45 1
0.4%
61 1
0.4%
68 1
0.4%
70 1
0.4%
88 1
0.4%
89 1
0.4%
90 1
0.4%
98 1
0.4%
103 1
0.4%
ValueCountFrequency (%)
3379 1
0.4%
3032 1
0.4%
1719 1
0.4%
1703 1
0.4%
1667 1
0.4%
1477 1
0.4%
1465 1
0.4%
1396 1
0.4%
1333 1
0.4%
1322 1
0.4%

23_24
Real number (ℝ)

Distinct217
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean629.58776
Minimum19
Maximum4318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-12T20:50:49.477030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile110.6
Q1217
median378
Q3810
95-th percentile1912.6
Maximum4318
Range4299
Interquartile range (IQR)593

Descriptive statistics

Standard deviation621.08303
Coefficient of variation (CV)0.98649159
Kurtosis5.463697
Mean629.58776
Median Absolute Deviation (MAD)211
Skewness2.0031388
Sum154249
Variance385744.13
MonotonicityNot monotonic
2023-12-12T20:50:49.638632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
279 3
 
1.2%
319 3
 
1.2%
201 3
 
1.2%
305 3
 
1.2%
222 3
 
1.2%
362 2
 
0.8%
142 2
 
0.8%
184 2
 
0.8%
206 2
 
0.8%
238 2
 
0.8%
Other values (207) 220
89.8%
ValueCountFrequency (%)
19 1
0.4%
21 1
0.4%
29 1
0.4%
60 2
0.8%
74 1
0.4%
79 1
0.4%
83 1
0.4%
86 1
0.4%
87 1
0.4%
94 1
0.4%
ValueCountFrequency (%)
4318 1
0.4%
2774 1
0.4%
2522 1
0.4%
2479 1
0.4%
2314 1
0.4%
2171 1
0.4%
2131 1
0.4%
2076 1
0.4%
1980 1
0.4%
1951 1
0.4%

Sample

날짜0_11_22_33_44_55_66_77_88_99_1010_1111_1212_1313_1414_1515_1616_1717_1818_1919_2020_2121_2222_2323_24
02021-11-2900000001740212431244527243132294326323821
12021-11-301912430512542721215750553725304139485437344529
22021-12-0138166391024942829459534460373543851186741626860
32021-12-0242221371216251524021058048638363721039114676511058874
42021-12-039928247122532150311129904677807887891442311499283115138
52021-12-042389934153330374010212194111109959710210618818213799133126149
62021-12-0521614755203222152351867065928173817081858875856160
72021-12-0647252562525411844851801119780788061881021136356868979
82021-12-0752261792425371593351679587797994101801181288992827087
92021-12-08584113217245619857820083848687586684137153988588103113
날짜0_11_22_33_44_55_66_77_88_99_1010_1111_1212_1313_1414_1515_1616_1717_1818_1919_2020_2121_2222_2323_24
2352022-07-22280133975492131207537100865536736236045031532640485115951158702791641693
2362022-07-237514201619714219119622345259345953165055441038473514821156924882154716671634
2372022-07-241109487496190565992395393594641530567668567476379476584546572855772403305
2382022-07-25168956742172157202445786527436339416400374353353478802516522454308360
2392022-07-261551179057101129182487848537372345368409345329358603828554466525349380
2402022-07-2722011593569914122152212307434653814554543923204357431372808484559416461
2412022-07-28232126965411215225857213887164254004375003213383926851277736679735594597
2422022-07-2933115179571121162274851092655437413494614554463627107821831287946684586758
2432022-07-30779426197812932212031964354804025276408125534896161205162512461200132814651865
2442022-07-3119593109156277712916963781532556416466789959426035306488201132101713191316956705