Overview

Dataset statistics

Number of variables28
Number of observations582
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory141.1 KiB
Average record size in memory248.2 B

Variable types

Text1
Categorical3
Numeric24

Dataset

Description교통량조사 결과(상시) 데이터 제공 (지점코드,구간,노선명,방향,구분,7시,8시,9시,10시,11시,12시,13시,14시,15시,16시,17시,18시,19시,20시,21시,22시,23시,0시,1시,2시,3시,4시,5시,6시)
URLhttps://www.data.go.kr/data/15062246/fileData.do

Alerts

1시 has 6 (1.0%) zerosZeros
2시 has 6 (1.0%) zerosZeros
3시 has 6 (1.0%) zerosZeros
4시 has 6 (1.0%) zerosZeros

Reproduction

Analysis started2023-12-12 18:22:56.903101
Analysis finished2023-12-12 18:22:57.343765
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구간
Text

Distinct97
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-12-13T03:22:57.689054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.0824742
Min length5

Characters and Unicode

Total characters4704
Distinct characters127
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
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 row노포JCT~양산JCT
2nd row노포JCT~양산JCT
3rd row노포JCT~양산JCT
4th row노포JCT~양산JCT
5th row노포JCT~양산JCT
ValueCountFrequency (%)
노포jct~양산jct 6
 
1.0%
남이천~호법jct 6
 
1.0%
금호jct~칠곡 6
 
1.0%
대감jct~대동jct 6
 
1.0%
진부~대관령 6
 
1.0%
면온~평창 6
 
1.0%
만종jct~원주jct 6
 
1.0%
문막~만종jct 6
 
1.0%
여주jct~여주 6
 
1.0%
신갈jct~마성 6
 
1.0%
Other values (87) 522
89.7%
2023-12-13T03:22:58.288927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
~ 582
 
12.4%
J 462
 
9.8%
C 462
 
9.8%
T 462
 
9.8%
주 192
 
4.1%
천 138
 
2.9%
서 126
 
2.7%
산 120
 
2.6%
동 90
 
1.9%
안 78
 
1.7%
Other values (117) 1992
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2730
58.0%
Uppercase Letter 1386
29.5%
Math Symbol 582
 
12.4%
Other Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 192
 
7.0%
천 138
 
5.1%
서 126
 
4.6%
산 120
 
4.4%
동 90
 
3.3%
안 78
 
2.9%
대 78
 
2.9%
신 60
 
2.2%
북 60
 
2.2%
양 60
 
2.2%
Other values (112) 1728
63.3%
Uppercase Letter
ValueCountFrequency (%)
J 462
33.3%
C 462
33.3%
T 462
33.3%
Math Symbol
ValueCountFrequency (%)
~ 582
100.0%
Other Punctuation
ValueCountFrequency (%)
· 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2730
58.0%
Latin 1386
29.5%
Common 588
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 192
 
7.0%
천 138
 
5.1%
서 126
 
4.6%
산 120
 
4.4%
동 90
 
3.3%
안 78
 
2.9%
대 78
 
2.9%
신 60
 
2.2%
북 60
 
2.2%
양 60
 
2.2%
Other values (112) 1728
63.3%
Latin
ValueCountFrequency (%)
J 462
33.3%
C 462
33.3%
T 462
33.3%
Common
ValueCountFrequency (%)
~ 582
99.0%
· 6
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2730
58.0%
ASCII 1968
41.8%
None 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
~ 582
29.6%
J 462
23.5%
C 462
23.5%
T 462
23.5%
Hangul
ValueCountFrequency (%)
주 192
 
7.0%
천 138
 
5.1%
서 126
 
4.6%
산 120
 
4.4%
동 90
 
3.3%
안 78
 
2.9%
대 78
 
2.9%
신 60
 
2.2%
북 60
 
2.2%
양 60
 
2.2%
Other values (112) 1728
63.3%
None
ValueCountFrequency (%)
· 6
100.0%

노선명
Categorical

Distinct26
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
경부선
78 
중부·통영대전선
72 
중앙선
48 
영동선
42 
중부내륙선
36 
Other values (21)
306 

Length

Max length10
Median length8
Mean length4.6082474
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경부선 78
13.4%
중부·통영대전선 72
12.4%
중앙선 48
 
8.2%
영동선 42
 
7.2%
중부내륙선 36
 
6.2%
서해안선 36
 
6.2%
호남선 30
 
5.2%
당진영덕선 30
 
5.2%
남해선 30
 
5.2%
동해선 24
 
4.1%
Other values (16) 156
26.8%

Length

2023-12-13T03:22:58.501524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경부선 78
13.4%
중부·통영대전선 72
12.4%
중앙선 48
 
8.2%
영동선 42
 
7.2%
중부내륙선 36
 
6.2%
서해안선 36
 
6.2%
호남선 30
 
5.2%
당진영덕선 30
 
5.2%
남해선 30
 
5.2%
동해선 24
 
4.1%
Other values (16) 156
26.8%

방향
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
기점
291 
종점
291 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기점
2nd row기점
3rd row기점
4th row종점
5th row종점

Common Values

ValueCountFrequency (%)
기점 291
50.0%
종점 291
50.0%

Length

2023-12-13T03:22:58.694703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:22:58.834498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기점 291
50.0%
종점 291
50.0%

구분
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
전체
194 
평일
194 
주말
194 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전체
2nd row평일
3rd row주말
4th row전체
5th row평일

Common Values

ValueCountFrequency (%)
전체 194
33.3%
평일 194
33.3%
주말 194
33.3%

Length

2023-12-13T03:22:59.002999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:22:59.141593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체 194
33.3%
평일 194
33.3%
주말 194
33.3%

7시
Real number (ℝ)

Distinct524
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1634.9381
Minimum9
Maximum7716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:22:59.314372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile201
Q1472.75
median990.5
Q32126.25
95-th percentile5378.8
Maximum7716
Range7707
Interquartile range (IQR)1653.5

Descriptive statistics

Standard deviation1627.5927
Coefficient of variation (CV)0.99550719
Kurtosis1.5273066
Mean1634.9381
Median Absolute Deviation (MAD)629.5
Skewness1.511408
Sum951534
Variance2649057.9
MonotonicityNot monotonic
2023-12-13T03:22:59.527479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
535 4
 
0.7%
333 3
 
0.5%
840 3
 
0.5%
1755 2
 
0.3%
304 2
 
0.3%
597 2
 
0.3%
778 2
 
0.3%
539 2
 
0.3%
1471 2
 
0.3%
1057 2
 
0.3%
Other values (514) 558
95.9%
ValueCountFrequency (%)
9 1
0.2%
10 1
0.2%
11 1
0.2%
72 1
0.2%
75 1
0.2%
81 1
0.2%
114 2
0.3%
120 1
0.2%
122 1
0.2%
123 1
0.2%
ValueCountFrequency (%)
7716 1
0.2%
7563 1
0.2%
6704 1
0.2%
6658 1
0.2%
6530 1
0.2%
6522 1
0.2%
6504 1
0.2%
6459 1
0.2%
6411 1
0.2%
6355 1
0.2%

8시
Real number (ℝ)

Distinct540
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1757.146
Minimum19
Maximum7338
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:22:59.727467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile253.45
Q1607.25
median1209
Q32355
95-th percentile5140.55
Maximum7338
Range7319
Interquartile range (IQR)1747.75

Descriptive statistics

Standard deviation1553.5131
Coefficient of variation (CV)0.88411155
Kurtosis0.98155533
Mean1757.146
Median Absolute Deviation (MAD)719
Skewness1.3239487
Sum1022659
Variance2413403
MonotonicityNot monotonic
2023-12-13T03:22:59.892225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1480 3
 
0.5%
313 3
 
0.5%
404 2
 
0.3%
815 2
 
0.3%
753 2
 
0.3%
462 2
 
0.3%
449 2
 
0.3%
5931 2
 
0.3%
183 2
 
0.3%
4586 2
 
0.3%
Other values (530) 560
96.2%
ValueCountFrequency (%)
19 1
0.2%
20 1
0.2%
21 1
0.2%
63 1
0.2%
76 1
0.2%
80 1
0.2%
152 1
0.2%
154 1
0.2%
161 1
0.2%
163 1
0.2%
ValueCountFrequency (%)
7338 1
0.2%
6690 1
0.2%
6616 1
0.2%
6606 1
0.2%
6540 1
0.2%
6483 1
0.2%
6372 1
0.2%
6160 1
0.2%
6157 1
0.2%
6062 1
0.2%

9시
Real number (ℝ)

Distinct537
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1910.933
Minimum31
Maximum6739
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:00.083578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile330.15
Q1756.5
median1391.5
Q32467
95-th percentile5424.15
Maximum6739
Range6708
Interquartile range (IQR)1710.5

Descriptive statistics

Standard deviation1551.3481
Coefficient of variation (CV)0.81182759
Kurtosis0.59107889
Mean1910.933
Median Absolute Deviation (MAD)756
Skewness1.2146347
Sum1112163
Variance2406681
MonotonicityNot monotonic
2023-12-13T03:23:00.283235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
837 4
 
0.7%
860 3
 
0.5%
2294 3
 
0.5%
817 2
 
0.3%
810 2
 
0.3%
1497 2
 
0.3%
1824 2
 
0.3%
1382 2
 
0.3%
872 2
 
0.3%
5426 2
 
0.3%
Other values (527) 558
95.9%
ValueCountFrequency (%)
31 1
0.2%
34 1
0.2%
42 1
0.2%
47 1
0.2%
48 1
0.2%
49 1
0.2%
185 1
0.2%
192 1
0.2%
202 1
0.2%
206 1
0.2%
ValueCountFrequency (%)
6739 1
0.2%
6675 1
0.2%
6655 1
0.2%
6474 1
0.2%
6306 1
0.2%
6170 1
0.2%
6117 1
0.2%
6114 1
0.2%
6104 1
0.2%
5974 1
0.2%

10시
Real number (ℝ)

Distinct547
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2081.2904
Minimum29
Maximum6397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:00.473833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile403.15
Q1936.5
median1573.5
Q32723.5
95-th percentile5428.75
Maximum6397
Range6368
Interquartile range (IQR)1787

Descriptive statistics

Standard deviation1540.5084
Coefficient of variation (CV)0.74016987
Kurtosis0.14432492
Mean2081.2904
Median Absolute Deviation (MAD)835.5
Skewness1.0501783
Sum1211311
Variance2373166.2
MonotonicityNot monotonic
2023-12-13T03:23:00.659166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
742 3
 
0.5%
274 3
 
0.5%
1167 3
 
0.5%
2476 2
 
0.3%
766 2
 
0.3%
884 2
 
0.3%
1154 2
 
0.3%
4716 2
 
0.3%
1042 2
 
0.3%
411 2
 
0.3%
Other values (537) 559
96.0%
ValueCountFrequency (%)
29 1
0.2%
31 1
0.2%
37 1
0.2%
67 1
0.2%
77 1
0.2%
102 1
0.2%
214 1
0.2%
223 1
0.2%
231 1
0.2%
253 1
0.2%
ValueCountFrequency (%)
6397 1
0.2%
6326 1
0.2%
6282 1
0.2%
6223 1
0.2%
6043 1
0.2%
6026 1
0.2%
6010 1
0.2%
6000 1
0.2%
5970 1
0.2%
5861 1
0.2%

11시
Real number (ℝ)

Distinct538
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2126.4553
Minimum37
Maximum6521
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:00.863848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile459.05
Q11006.75
median1571.5
Q32871
95-th percentile5419.8
Maximum6521
Range6484
Interquartile range (IQR)1864.25

Descriptive statistics

Standard deviation1514.2147
Coefficient of variation (CV)0.71208394
Kurtosis0.116507
Mean2126.4553
Median Absolute Deviation (MAD)799.5
Skewness1.0240626
Sum1237597
Variance2292846.1
MonotonicityNot monotonic
2023-12-13T03:23:01.051003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
998 3
 
0.5%
1001 3
 
0.5%
1296 3
 
0.5%
875 2
 
0.3%
423 2
 
0.3%
2871 2
 
0.3%
1132 2
 
0.3%
1089 2
 
0.3%
1009 2
 
0.3%
974 2
 
0.3%
Other values (528) 559
96.0%
ValueCountFrequency (%)
37 1
0.2%
43 1
0.2%
57 1
0.2%
77 1
0.2%
93 1
0.2%
134 1
0.2%
219 1
0.2%
249 1
0.2%
250 1
0.2%
256 1
0.2%
ValueCountFrequency (%)
6521 1
0.2%
6483 1
0.2%
6418 1
0.2%
6388 1
0.2%
6264 1
0.2%
5950 1
0.2%
5945 1
0.2%
5883 1
0.2%
5878 1
0.2%
5856 1
0.2%

12시
Real number (ℝ)

Distinct537
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2094.6134
Minimum44
Maximum6514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:01.251996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile445.2
Q1973.25
median1559.5
Q32779.5
95-th percentile5360.3
Maximum6514
Range6470
Interquartile range (IQR)1806.25

Descriptive statistics

Standard deviation1524.8472
Coefficient of variation (CV)0.72798502
Kurtosis0.15137405
Mean2094.6134
Median Absolute Deviation (MAD)801.5
Skewness1.0625005
Sum1219065
Variance2325158.9
MonotonicityNot monotonic
2023-12-13T03:23:01.442991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
743 3
 
0.5%
558 3
 
0.5%
955 2
 
0.3%
4738 2
 
0.3%
1576 2
 
0.3%
1542 2
 
0.3%
1079 2
 
0.3%
1631 2
 
0.3%
1805 2
 
0.3%
1053 2
 
0.3%
Other values (527) 560
96.2%
ValueCountFrequency (%)
44 1
0.2%
52 1
0.2%
59 1
0.2%
69 1
0.2%
72 1
0.2%
95 1
0.2%
205 1
0.2%
232 1
0.2%
236 1
0.2%
256 1
0.2%
ValueCountFrequency (%)
6514 1
0.2%
6451 1
0.2%
6292 1
0.2%
6185 1
0.2%
6081 1
0.2%
6037 1
0.2%
5921 1
0.2%
5901 1
0.2%
5875 1
0.2%
5857 1
0.2%

13시
Real number (ℝ)

Distinct545
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2141.445
Minimum41
Maximum6656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:01.615012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile469
Q11010
median1633.5
Q32843.75
95-th percentile5500.9
Maximum6656
Range6615
Interquartile range (IQR)1833.75

Descriptive statistics

Standard deviation1545.5538
Coefficient of variation (CV)0.72173407
Kurtosis0.12678619
Mean2141.445
Median Absolute Deviation (MAD)806
Skewness1.0514392
Sum1246321
Variance2388736.7
MonotonicityNot monotonic
2023-12-13T03:23:01.816072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
659 2
 
0.3%
874 2
 
0.3%
983 2
 
0.3%
490 2
 
0.3%
2561 2
 
0.3%
863 2
 
0.3%
1618 2
 
0.3%
1010 2
 
0.3%
1676 2
 
0.3%
1307 2
 
0.3%
Other values (535) 562
96.6%
ValueCountFrequency (%)
41 1
0.2%
51 1
0.2%
55 1
0.2%
63 1
0.2%
76 1
0.2%
83 1
0.2%
208 1
0.2%
213 1
0.2%
220 1
0.2%
263 2
0.3%
ValueCountFrequency (%)
6656 1
0.2%
6602 1
0.2%
6464 1
0.2%
6220 1
0.2%
6034 1
0.2%
5973 1
0.2%
5957 1
0.2%
5900 1
0.2%
5847 1
0.2%
5839 1
0.2%

14시
Real number (ℝ)

Distinct535
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2218.5687
Minimum36
Maximum6619
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:02.042647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile492.15
Q11071
median1712.5
Q32964.25
95-th percentile5538.8
Maximum6619
Range6583
Interquartile range (IQR)1893.25

Descriptive statistics

Standard deviation1567.2523
Coefficient of variation (CV)0.70642496
Kurtosis0.053611879
Mean2218.5687
Median Absolute Deviation (MAD)836
Skewness1.0135401
Sum1291207
Variance2456279.8
MonotonicityNot monotonic
2023-12-13T03:23:02.278634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1805 3
 
0.5%
5535 3
 
0.5%
1043 2
 
0.3%
2394 2
 
0.3%
2371 2
 
0.3%
1544 2
 
0.3%
1024 2
 
0.3%
1674 2
 
0.3%
1602 2
 
0.3%
1207 2
 
0.3%
Other values (525) 560
96.2%
ValueCountFrequency (%)
36 1
0.2%
46 1
0.2%
62 1
0.2%
71 1
0.2%
75 1
0.2%
99 1
0.2%
201 1
0.2%
237 1
0.2%
251 1
0.2%
254 1
0.2%
ValueCountFrequency (%)
6619 1
0.2%
6531 1
0.2%
6355 1
0.2%
6318 1
0.2%
6181 1
0.2%
6115 1
0.2%
6107 1
0.2%
6088 1
0.2%
6046 1
0.2%
5957 1
0.2%

15시
Real number (ℝ)

Distinct554
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2255.2887
Minimum32
Maximum6728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:02.506422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile494.45
Q11070.25
median1734.5
Q33020
95-th percentile5634.7
Maximum6728
Range6696
Interquartile range (IQR)1949.75

Descriptive statistics

Standard deviation1584.4465
Coefficient of variation (CV)0.70254709
Kurtosis0.11038406
Mean2255.2887
Median Absolute Deviation (MAD)856.5
Skewness1.0079151
Sum1312578
Variance2510470.6
MonotonicityNot monotonic
2023-12-13T03:23:02.749687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1208 2
 
0.3%
2011 2
 
0.3%
1015 2
 
0.3%
1568 2
 
0.3%
1643 2
 
0.3%
1984 2
 
0.3%
1182 2
 
0.3%
1436 2
 
0.3%
1572 2
 
0.3%
2125 2
 
0.3%
Other values (544) 562
96.6%
ValueCountFrequency (%)
32 1
0.2%
42 1
0.2%
64 1
0.2%
65 1
0.2%
77 1
0.2%
109 1
0.2%
200 1
0.2%
229 1
0.2%
233 1
0.2%
247 1
0.2%
ValueCountFrequency (%)
6728 1
0.2%
6679 1
0.2%
6553 1
0.2%
6499 1
0.2%
6386 1
0.2%
6306 1
0.2%
6303 1
0.2%
6287 1
0.2%
6229 1
0.2%
6225 1
0.2%

16시
Real number (ℝ)

Distinct537
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2306.7113
Minimum24
Maximum6861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:02.953989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile493
Q11046.75
median1771.5
Q33072.75
95-th percentile5794.85
Maximum6861
Range6837
Interquartile range (IQR)2026

Descriptive statistics

Standard deviation1641.9784
Coefficient of variation (CV)0.71182655
Kurtosis-0.024451203
Mean2306.7113
Median Absolute Deviation (MAD)908.5
Skewness0.97413147
Sum1342506
Variance2696093
MonotonicityNot monotonic
2023-12-13T03:23:03.142045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
672 3
 
0.5%
892 3
 
0.5%
1057 3
 
0.5%
538 2
 
0.3%
1606 2
 
0.3%
1036 2
 
0.3%
1472 2
 
0.3%
1292 2
 
0.3%
579 2
 
0.3%
803 2
 
0.3%
Other values (527) 559
96.0%
ValueCountFrequency (%)
24 1
0.2%
31 1
0.2%
50 1
0.2%
84 1
0.2%
100 1
0.2%
139 1
0.2%
194 1
0.2%
220 1
0.2%
236 1
0.2%
244 1
0.2%
ValueCountFrequency (%)
6861 1
0.2%
6854 1
0.2%
6850 1
0.2%
6521 1
0.2%
6451 1
0.2%
6367 1
0.2%
6295 1
0.2%
6288 1
0.2%
6284 1
0.2%
6266 1
0.2%

17시
Real number (ℝ)

Distinct549
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2260.2646
Minimum24
Maximum6746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:03.341114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile452.2
Q1995
median1785.5
Q32999.75
95-th percentile5795.85
Maximum6746
Range6722
Interquartile range (IQR)2004.75

Descriptive statistics

Standard deviation1643.5706
Coefficient of variation (CV)0.72715851
Kurtosis0.043489438
Mean2260.2646
Median Absolute Deviation (MAD)919
Skewness0.99607315
Sum1315474
Variance2701324.5
MonotonicityNot monotonic
2023-12-13T03:23:03.851226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1038 3
 
0.5%
2145 3
 
0.5%
893 2
 
0.3%
1166 2
 
0.3%
681 2
 
0.3%
1686 2
 
0.3%
792 2
 
0.3%
1036 2
 
0.3%
1740 2
 
0.3%
965 2
 
0.3%
Other values (539) 560
96.2%
ValueCountFrequency (%)
24 1
0.2%
30 1
0.2%
47 1
0.2%
96 1
0.2%
112 1
0.2%
151 1
0.2%
175 1
0.2%
191 1
0.2%
227 1
0.2%
228 1
0.2%
ValueCountFrequency (%)
6746 1
0.2%
6737 1
0.2%
6714 1
0.2%
6517 1
0.2%
6439 1
0.2%
6430 1
0.2%
6406 1
0.2%
6403 1
0.2%
6346 1
0.2%
6284 1
0.2%

18시
Real number (ℝ)

Distinct540
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2011.1581
Minimum16
Maximum6767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:04.066697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile360
Q1824.25
median1537.5
Q32594.75
95-th percentile5488.85
Maximum6767
Range6751
Interquartile range (IQR)1770.5

Descriptive statistics

Standard deviation1569.254
Coefficient of variation (CV)0.78027385
Kurtosis0.40766746
Mean2011.1581
Median Absolute Deviation (MAD)820
Skewness1.1487392
Sum1170494
Variance2462558.3
MonotonicityNot monotonic
2023-12-13T03:23:04.263476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2165 3
 
0.5%
1721 3
 
0.5%
1467 3
 
0.5%
1089 3
 
0.5%
899 2
 
0.3%
1126 2
 
0.3%
860 2
 
0.3%
1095 2
 
0.3%
751 2
 
0.3%
821 2
 
0.3%
Other values (530) 558
95.9%
ValueCountFrequency (%)
16 1
0.2%
20 1
0.2%
30 1
0.2%
81 1
0.2%
90 1
0.2%
111 1
0.2%
142 1
0.2%
163 1
0.2%
176 1
0.2%
187 1
0.2%
ValueCountFrequency (%)
6767 1
0.2%
6703 1
0.2%
6539 1
0.2%
6308 1
0.2%
6222 1
0.2%
6110 1
0.2%
6067 1
0.2%
6056 1
0.2%
5976 1
0.2%
5954 1
0.2%

19시
Real number (ℝ)

Distinct542
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1644.5876
Minimum12
Maximum6299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:04.451990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile241.1
Q1612.25
median1139.5
Q32062
95-th percentile5026.65
Maximum6299
Range6287
Interquartile range (IQR)1449.75

Descriptive statistics

Standard deviation1449.3152
Coefficient of variation (CV)0.88126359
Kurtosis1.000927
Mean1644.5876
Median Absolute Deviation (MAD)639.5
Skewness1.3820986
Sum957150
Variance2100514.5
MonotonicityNot monotonic
2023-12-13T03:23:04.656650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
417 4
 
0.7%
836 3
 
0.5%
577 3
 
0.5%
553 3
 
0.5%
662 3
 
0.5%
871 2
 
0.3%
1401 2
 
0.3%
877 2
 
0.3%
1949 2
 
0.3%
493 2
 
0.3%
Other values (532) 556
95.5%
ValueCountFrequency (%)
12 1
0.2%
14 1
0.2%
19 1
0.2%
34 1
0.2%
41 1
0.2%
57 1
0.2%
91 1
0.2%
120 1
0.2%
121 1
0.2%
127 1
0.2%
ValueCountFrequency (%)
6299 1
0.2%
6173 1
0.2%
5956 1
0.2%
5854 1
0.2%
5843 1
0.2%
5822 1
0.2%
5777 1
0.2%
5766 1
0.2%
5732 1
0.2%
5576 1
0.2%

20시
Real number (ℝ)

Distinct518
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1395.2904
Minimum8
Maximum6040
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:04.846735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile164.3
Q1475.25
median864
Q31735.25
95-th percentile4456.65
Maximum6040
Range6032
Interquartile range (IQR)1260

Descriptive statistics

Standard deviation1330.5436
Coefficient of variation (CV)0.95359618
Kurtosis1.2955465
Mean1395.2904
Median Absolute Deviation (MAD)517
Skewness1.4848738
Sum812059
Variance1770346.2
MonotonicityNot monotonic
2023-12-13T03:23:05.040000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
653 4
 
0.7%
3599 3
 
0.5%
354 3
 
0.5%
1249 3
 
0.5%
309 3
 
0.5%
588 3
 
0.5%
1626 2
 
0.3%
161 2
 
0.3%
126 2
 
0.3%
597 2
 
0.3%
Other values (508) 555
95.4%
ValueCountFrequency (%)
8 1
0.2%
10 1
0.2%
14 1
0.2%
17 1
0.2%
23 1
0.2%
36 1
0.2%
66 1
0.2%
71 1
0.2%
81 1
0.2%
85 1
0.2%
ValueCountFrequency (%)
6040 1
0.2%
5894 1
0.2%
5523 1
0.2%
5437 1
0.2%
5372 1
0.2%
5317 1
0.2%
5269 1
0.2%
5172 1
0.2%
5114 1
0.2%
5098 1
0.2%

21시
Real number (ℝ)

Distinct504
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1209.6564
Minimum8
Maximum6388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:05.235161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile135
Q1370.25
median702.5
Q31434.25
95-th percentile4186.2
Maximum6388
Range6380
Interquartile range (IQR)1064

Descriptive statistics

Standard deviation1269.9686
Coefficient of variation (CV)1.049859
Kurtosis2.1137456
Mean1209.6564
Median Absolute Deviation (MAD)442
Skewness1.7009715
Sum704020
Variance1612820.2
MonotonicityNot monotonic
2023-12-13T03:23:05.418862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
428 4
 
0.7%
1086 3
 
0.5%
587 3
 
0.5%
433 3
 
0.5%
1219 3
 
0.5%
321 3
 
0.5%
437 3
 
0.5%
259 2
 
0.3%
269 2
 
0.3%
444 2
 
0.3%
Other values (494) 554
95.2%
ValueCountFrequency (%)
8 2
0.3%
9 1
0.2%
11 2
0.3%
19 1
0.2%
53 1
0.2%
65 1
0.2%
72 1
0.2%
73 1
0.2%
75 1
0.2%
76 1
0.2%
ValueCountFrequency (%)
6388 1
0.2%
5691 1
0.2%
5337 1
0.2%
5310 1
0.2%
5240 1
0.2%
5234 1
0.2%
5173 1
0.2%
5096 1
0.2%
5075 1
0.2%
5071 1
0.2%

22시
Real number (ℝ)

Distinct491
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean939.99828
Minimum7
Maximum5027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:05.636649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile88.1
Q1278
median488.5
Q31056.25
95-th percentile3497.35
Maximum5027
Range5020
Interquartile range (IQR)778.25

Descriptive statistics

Standard deviation1061.0557
Coefficient of variation (CV)1.1287848
Kurtosis2.3619701
Mean939.99828
Median Absolute Deviation (MAD)306.5
Skewness1.8060736
Sum547079
Variance1125839.3
MonotonicityNot monotonic
2023-12-13T03:23:05.853399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
365 5
 
0.9%
278 4
 
0.7%
252 4
 
0.7%
116 4
 
0.7%
997 4
 
0.7%
221 3
 
0.5%
232 3
 
0.5%
228 3
 
0.5%
430 3
 
0.5%
86 3
 
0.5%
Other values (481) 546
93.8%
ValueCountFrequency (%)
7 1
0.2%
8 1
0.2%
9 2
0.3%
12 1
0.2%
14 1
0.2%
42 2
0.3%
44 1
0.2%
45 1
0.2%
48 1
0.2%
50 1
0.2%
ValueCountFrequency (%)
5027 1
0.2%
4595 1
0.2%
4453 1
0.2%
4425 1
0.2%
4378 1
0.2%
4265 1
0.2%
4254 1
0.2%
4235 1
0.2%
4197 1
0.2%
4185 1
0.2%

23시
Real number (ℝ)

Distinct438
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean631.79381
Minimum5
Maximum3430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:06.047147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile52.05
Q1191
median333
Q3725.25
95-th percentile2320.75
Maximum3430
Range3425
Interquartile range (IQR)534.25

Descriptive statistics

Standard deviation711.80415
Coefficient of variation (CV)1.1266399
Kurtosis2.5888726
Mean631.79381
Median Absolute Deviation (MAD)203
Skewness1.841543
Sum367704
Variance506665.15
MonotonicityNot monotonic
2023-12-13T03:23:06.250114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
161 6
 
1.0%
162 5
 
0.9%
46 4
 
0.7%
252 4
 
0.7%
261 4
 
0.7%
285 4
 
0.7%
231 4
 
0.7%
110 4
 
0.7%
191 3
 
0.5%
287 3
 
0.5%
Other values (428) 541
93.0%
ValueCountFrequency (%)
5 2
0.3%
6 3
0.5%
8 1
 
0.2%
24 1
 
0.2%
25 1
 
0.2%
27 1
 
0.2%
28 1
 
0.2%
31 1
 
0.2%
32 1
 
0.2%
33 1
 
0.2%
ValueCountFrequency (%)
3430 1
0.2%
3242 1
0.2%
3188 1
0.2%
3132 1
0.2%
3101 1
0.2%
3091 1
0.2%
2956 1
0.2%
2928 1
0.2%
2893 1
0.2%
2871 1
0.2%

0시
Real number (ℝ)

Distinct413
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean423.87457
Minimum3
Maximum2221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:06.450809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile33.05
Q1145
median241
Q3480.75
95-th percentile1506.2
Maximum2221
Range2218
Interquartile range (IQR)335.75

Descriptive statistics

Standard deviation455.21622
Coefficient of variation (CV)1.0739408
Kurtosis2.1515705
Mean423.87457
Median Absolute Deviation (MAD)145
Skewness1.7438345
Sum246695
Variance207221.8
MonotonicityNot monotonic
2023-12-13T03:23:06.634173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55 6
 
1.0%
201 4
 
0.7%
182 4
 
0.7%
51 4
 
0.7%
189 4
 
0.7%
37 4
 
0.7%
150 4
 
0.7%
170 4
 
0.7%
315 4
 
0.7%
119 4
 
0.7%
Other values (403) 540
92.8%
ValueCountFrequency (%)
3 1
0.2%
4 2
0.3%
5 2
0.3%
8 1
0.2%
11 1
0.2%
13 1
0.2%
15 1
0.2%
18 1
0.2%
19 2
0.3%
21 1
0.2%
ValueCountFrequency (%)
2221 1
0.2%
1994 1
0.2%
1968 1
0.2%
1953 1
0.2%
1903 1
0.2%
1890 1
0.2%
1849 1
0.2%
1808 1
0.2%
1798 1
0.2%
1773 1
0.2%

1시
Real number (ℝ)

ZEROS 

Distinct383
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean310.34708
Minimum0
Maximum1465
Zeros6
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:06.862864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q1109
median194
Q3372.75
95-th percentile1052.25
Maximum1465
Range1465
Interquartile range (IQR)263.75

Descriptive statistics

Standard deviation315.99542
Coefficient of variation (CV)1.0182001
Kurtosis1.8589985
Mean310.34708
Median Absolute Deviation (MAD)109
Skewness1.6490143
Sum180622
Variance99853.108
MonotonicityNot monotonic
2023-12-13T03:23:07.054975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188 7
 
1.2%
87 6
 
1.0%
0 6
 
1.0%
133 5
 
0.9%
238 4
 
0.7%
21 4
 
0.7%
175 4
 
0.7%
169 4
 
0.7%
59 4
 
0.7%
277 4
 
0.7%
Other values (373) 534
91.8%
ValueCountFrequency (%)
0 6
1.0%
3 1
 
0.2%
4 2
 
0.3%
10 1
 
0.2%
13 3
0.5%
14 1
 
0.2%
15 2
 
0.3%
16 1
 
0.2%
17 1
 
0.2%
18 1
 
0.2%
ValueCountFrequency (%)
1465 1
0.2%
1375 1
0.2%
1370 1
0.2%
1354 1
0.2%
1348 1
0.2%
1339 1
0.2%
1310 1
0.2%
1259 1
0.2%
1233 1
0.2%
1218 1
0.2%

2시
Real number (ℝ)

ZEROS 

Distinct353
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean260.74914
Minimum0
Maximum1154
Zeros6
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:07.207803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.05
Q199
median175.5
Q3322.5
95-th percentile817.95
Maximum1154
Range1154
Interquartile range (IQR)223.5

Descriptive statistics

Standard deviation248.45024
Coefficient of variation (CV)0.95283246
Kurtosis1.5448817
Mean260.74914
Median Absolute Deviation (MAD)96
Skewness1.5312509
Sum151756
Variance61727.524
MonotonicityNot monotonic
2023-12-13T03:23:07.410280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
172 6
 
1.0%
0 6
 
1.0%
30 5
 
0.9%
165 5
 
0.9%
98 5
 
0.9%
113 4
 
0.7%
12 4
 
0.7%
156 4
 
0.7%
153 4
 
0.7%
157 4
 
0.7%
Other values (343) 535
91.9%
ValueCountFrequency (%)
0 6
1.0%
4 2
 
0.3%
5 1
 
0.2%
10 1
 
0.2%
12 4
0.7%
13 2
 
0.3%
14 3
0.5%
15 2
 
0.3%
16 2
 
0.3%
17 3
0.5%
ValueCountFrequency (%)
1154 1
0.2%
1130 1
0.2%
1070 1
0.2%
1061 1
0.2%
1054 1
0.2%
1042 1
0.2%
1020 1
0.2%
1016 1
0.2%
1001 1
0.2%
993 1
0.2%

3시
Real number (ℝ)

ZEROS 

Distinct359
Distinct (%)61.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264.23711
Minimum0
Maximum1152
Zeros6
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:07.595885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19
Q198
median180.5
Q3326.75
95-th percentile809.8
Maximum1152
Range1152
Interquartile range (IQR)228.75

Descriptive statistics

Standard deviation247.34137
Coefficient of variation (CV)0.93605838
Kurtosis1.1121097
Mean264.23711
Median Absolute Deviation (MAD)97.5
Skewness1.4298517
Sum153786
Variance61177.751
MonotonicityNot monotonic
2023-12-13T03:23:07.794310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
1.0%
153 6
 
1.0%
27 5
 
0.9%
87 5
 
0.9%
120 5
 
0.9%
154 5
 
0.9%
91 4
 
0.7%
51 4
 
0.7%
165 4
 
0.7%
161 4
 
0.7%
Other values (349) 534
91.8%
ValueCountFrequency (%)
0 6
1.0%
7 1
 
0.2%
8 1
 
0.2%
10 1
 
0.2%
11 1
 
0.2%
12 1
 
0.2%
13 2
 
0.3%
14 3
0.5%
15 2
 
0.3%
16 3
0.5%
ValueCountFrequency (%)
1152 1
0.2%
1091 1
0.2%
1054 1
0.2%
1014 1
0.2%
1001 1
0.2%
995 1
0.2%
980 1
0.2%
938 1
0.2%
921 1
0.2%
919 1
0.2%

4시
Real number (ℝ)

ZEROS 

Distinct405
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean376.27835
Minimum0
Maximum1864
Zeros6
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:07.997935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26.05
Q1126
median227
Q3437.25
95-th percentile1280.4
Maximum1864
Range1864
Interquartile range (IQR)311.25

Descriptive statistics

Standard deviation391.32351
Coefficient of variation (CV)1.0399841
Kurtosis1.8634985
Mean376.27835
Median Absolute Deviation (MAD)136.5
Skewness1.653666
Sum218994
Variance153134.09
MonotonicityNot monotonic
2023-12-13T03:23:08.170054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 6
 
1.0%
0 6
 
1.0%
127 6
 
1.0%
151 4
 
0.7%
193 4
 
0.7%
26 4
 
0.7%
76 4
 
0.7%
152 4
 
0.7%
136 4
 
0.7%
294 4
 
0.7%
Other values (395) 536
92.1%
ValueCountFrequency (%)
0 6
1.0%
17 1
 
0.2%
18 2
 
0.3%
20 1
 
0.2%
21 3
0.5%
22 6
1.0%
23 2
 
0.3%
24 3
0.5%
25 2
 
0.3%
26 4
0.7%
ValueCountFrequency (%)
1864 1
0.2%
1733 1
0.2%
1690 1
0.2%
1684 1
0.2%
1672 1
0.2%
1652 1
0.2%
1589 1
0.2%
1582 1
0.2%
1549 1
0.2%
1536 1
0.2%

5시
Real number (ℝ)

Distinct451
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean783.15979
Minimum0
Maximum5209
Zeros3
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:08.360561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile52.05
Q1192
median381
Q3863
95-th percentile3197.75
Maximum5209
Range5209
Interquartile range (IQR)671

Descriptive statistics

Standard deviation984.79327
Coefficient of variation (CV)1.2574615
Kurtosis3.7972725
Mean783.15979
Median Absolute Deviation (MAD)241.5
Skewness2.0732315
Sum455799
Variance969817.79
MonotonicityNot monotonic
2023-12-13T03:23:08.893534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
171 5
 
0.9%
267 5
 
0.9%
192 4
 
0.7%
406 4
 
0.7%
45 4
 
0.7%
47 4
 
0.7%
231 3
 
0.5%
208 3
 
0.5%
114 3
 
0.5%
96 3
 
0.5%
Other values (441) 544
93.5%
ValueCountFrequency (%)
0 3
0.5%
12 1
 
0.2%
14 1
 
0.2%
18 1
 
0.2%
39 3
0.5%
41 1
 
0.2%
42 3
0.5%
43 1
 
0.2%
44 2
0.3%
45 4
0.7%
ValueCountFrequency (%)
5209 1
0.2%
4783 1
0.2%
4565 1
0.2%
4544 1
0.2%
4538 1
0.2%
4464 1
0.2%
4164 1
0.2%
4144 1
0.2%
4050 1
0.2%
4018 1
0.2%

6시
Real number (ℝ)

Distinct491
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1269.1082
Minimum5
Maximum7435
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-13T03:23:09.083214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile117.05
Q1319.25
median639.5
Q31509.25
95-th percentile4948.2
Maximum7435
Range7430
Interquartile range (IQR)1190

Descriptive statistics

Standard deviation1492.9556
Coefficient of variation (CV)1.1763816
Kurtosis2.911635
Mean1269.1082
Median Absolute Deviation (MAD)417
Skewness1.8822468
Sum738621
Variance2228916.3
MonotonicityNot monotonic
2023-12-13T03:23:09.312422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
217 5
 
0.9%
229 4
 
0.7%
322 3
 
0.5%
280 3
 
0.5%
467 3
 
0.5%
190 3
 
0.5%
787 3
 
0.5%
5 3
 
0.5%
376 3
 
0.5%
586 2
 
0.3%
Other values (481) 550
94.5%
ValueCountFrequency (%)
5 3
0.5%
49 1
 
0.2%
53 1
 
0.2%
62 1
 
0.2%
65 1
 
0.2%
67 2
0.3%
69 1
 
0.2%
71 1
 
0.2%
72 1
 
0.2%
77 1
 
0.2%
ValueCountFrequency (%)
7435 1
0.2%
7014 1
0.2%
6540 1
0.2%
6516 1
0.2%
6400 1
0.2%
6209 1
0.2%
6183 1
0.2%
6169 1
0.2%
6107 1
0.2%
5980 1
0.2%

Sample

구간노선명방향구분7시8시9시10시11시12시13시14시15시16시17시18시19시20시21시22시23시0시1시2시3시4시5시6시
0노포JCT~양산JCT경부선기점전체1687215720992394256927092855309032173644405935032413186213439916544813703203244126951196
1노포JCT~양산JCT경부선기점평일1977252022502376241724542599287530173512413736982497190113369796554373363033174277471349
2노포JCT~양산JCT경부선기점주말961124817202440294933473495362637183973386530152202176513601021653590456362341375564814
3노포JCT~양산JCT경부선종점전체39523553311333183245285827492745259424402407215415561256111883656141935831036256111762704
4노포JCT~양산JCT경부선종점평일46954152327432773082262925372558241622792314215515221182105980454038933629737760012743075
5노포JCT~양산JCT경부선종점주말2086204827103421365334343282321530422846263921521642144112649156144944133433264639311773
6언양JCT~활천경부선기점전체65674095511951424153216521875208622012145180014611178904641432330250216211276405537
7언양JCT~활천경부선기점평일65571789411151361149816241833197320341924158912711007774563391294228198201269393528
8언양JCT~활천경부선기점주말6587991109139715811618172419762369261826992328193816051229834536418303263236294433561
9언양JCT~활천경부선종점전체106512351715202820361812170917671730161414071129927733580409284210188176194254435775
구간노선명방향구분7시8시9시10시11시12시13시14시15시16시17시18시19시20시21시22시23시0시1시2시3시4시5시6시
572대동JCT~물금중앙선지선기점주말14091608227826892915286529362962312432783072266321151868151611077045514614134455388711234
573대동JCT~물금중앙선지선종점전체26162761301333513474331535003597355436083859322123871809138899767346640136039449310282140
574대동JCT~물금중앙선지선종점평일29603107321333933405314833643522345935343972339525431841136598368245540337242253611372391
575대동JCT~물금중앙선지선종점주말17551894251132473646373438403783379237943576278519951728144510326504943973303253857561511
576김해JCT~대동JCT중앙선지선기점전체126614031311137513211244129113941469158016861438940702558425299242214202194234389731
577김해JCT~대동JCT중앙선지선기점평일151716621448145513371222126413871445152816851467934657515398285232205190185230407837
578김해JCT~대동JCT중앙선지선기점주말636753969117612821299135814151528171216871365955813667494333266236232217244343467
579김해JCT~대동JCT중앙선지선종점전체120012771327144814301346136914341417149516481365882703538406281218194192196227406836
580김해JCT~대동JCT중앙선지선종점평일139114851436148714141288132514331405149317071474917687509380268199181188198233435927
581김해JCT~대동JCT중앙선지선종점주말7197571054135014711492147814411445149915011091794742612471315267227200190211331607