Overview

Dataset statistics

Number of variables29
Number of observations744
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory186.9 KiB
Average record size in memory257.2 B

Variable types

Categorical7
Text1
Numeric21

Dataset

Description파일 다운로드
Author서울교통공사
URLhttps://data.seoul.go.kr/dataList/OA-12928/F/1/datasetView.do

Alerts

05:00 has 48 (6.5%) zerosZeros
06:00 has 24 (3.2%) zerosZeros
07:00 has 24 (3.2%) zerosZeros
08:00 has 24 (3.2%) zerosZeros
09:00 has 24 (3.2%) zerosZeros
10:00 has 24 (3.2%) zerosZeros
11:00 has 24 (3.2%) zerosZeros
12:00 has 24 (3.2%) zerosZeros
13:00 has 24 (3.2%) zerosZeros
14:00 has 24 (3.2%) zerosZeros
15:00 has 24 (3.2%) zerosZeros
16:00 has 24 (3.2%) zerosZeros
17:00 has 24 (3.2%) zerosZeros
18:00 has 24 (3.2%) zerosZeros
19:00 has 24 (3.2%) zerosZeros
20:00 has 24 (3.2%) zerosZeros
21:00 has 24 (3.2%) zerosZeros
22:00 has 24 (3.2%) zerosZeros
23:00 has 24 (3.2%) zerosZeros
00:00 has 452 (60.8%) zerosZeros

Reproduction

Analysis started2024-05-11 07:25:20.669232
Analysis finished2024-05-11 07:25:21.535251
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사용일
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
평일
248 
토요일
248 
일요일
248 

Length

Max length3
Median length3
Mean length2.6666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평일 248
33.3%
토요일 248
33.3%
일요일 248
33.3%

Length

2024-05-11T07:25:21.835618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:25:22.194642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일 248
33.3%
토요일 248
33.3%
일요일 248
33.3%

호선
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2호선
264 
3호선
204 
4호선
156 
1호선
60 
성수지선
30 

Length

Max length4
Median length3
Mean length3.0806452
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1호선
2nd row1호선
3rd row1호선
4th row1호선
5th row1호선

Common Values

ValueCountFrequency (%)
2호선 264
35.5%
3호선 204
27.4%
4호선 156
21.0%
1호선 60
 
8.1%
성수지선 30
 
4.0%
신정지선 30
 
4.0%

Length

2024-05-11T07:25:22.599404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:25:23.003240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2호선 264
35.5%
3호선 204
27.4%
4호선 156
21.0%
1호선 60
 
8.1%
성수지선 30
 
4.0%
신정지선 30
 
4.0%

구분
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
상선
210 
하선
210 
내선
162 
외선
162 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상선 210
28.2%
하선 210
28.2%
내선 162
21.8%
외선 162
21.8%

Length

2024-05-11T07:25:23.515876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:25:24.002353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상선 210
28.2%
하선 210
28.2%
내선 162
21.8%
외선 162
21.8%

역명
Text

Distinct124
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2024-05-11T07:25:24.972178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length4.2822581
Min length2

Characters and Unicode

Total characters3186
Distinct characters147
Distinct categories5 ?
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 row청량리(1)
2nd row제기동
3rd row신설동(1)
4th row동묘앞(1)
5th row동대문(1)
ValueCountFrequency (%)
청량리(1 6
 
0.8%
양재(3 6
 
0.8%
창동(4 6
 
0.8%
노원(4 6
 
0.8%
상계 6
 
0.8%
당고개 6
 
0.8%
오금(3 6
 
0.8%
경찰병원 6
 
0.8%
가락시장(3 6
 
0.8%
수서(3 6
 
0.8%
Other values (114) 684
91.9%
2024-05-11T07:25:26.793271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 330
 
10.4%
) 330
 
10.4%
대 126
 
4.0%
2 120
 
3.8%
3 108
 
3.4%
신 96
 
3.0%
구 90
 
2.8%
동 78
 
2.4%
4 72
 
2.3%
지 72
 
2.3%
Other values (137) 1764
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2172
68.2%
Decimal Number 348
 
10.9%
Open Punctuation 330
 
10.4%
Close Punctuation 330
 
10.4%
Uppercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 126
 
5.8%
신 96
 
4.4%
구 90
 
4.1%
동 78
 
3.6%
지 72
 
3.3%
문 54
 
2.5%
입 54
 
2.5%
수 42
 
1.9%
가 42
 
1.9%
로 42
 
1.9%
Other values (129) 1476
68.0%
Decimal Number
ValueCountFrequency (%)
2 120
34.5%
3 108
31.0%
4 72
20.7%
1 42
 
12.1%
5 6
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 330
100.0%
Close Punctuation
ValueCountFrequency (%)
) 330
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2172
68.2%
Common 1008
31.6%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 126
 
5.8%
신 96
 
4.4%
구 90
 
4.1%
동 78
 
3.6%
지 72
 
3.3%
문 54
 
2.5%
입 54
 
2.5%
수 42
 
1.9%
가 42
 
1.9%
로 42
 
1.9%
Other values (129) 1476
68.0%
Common
ValueCountFrequency (%)
( 330
32.7%
) 330
32.7%
2 120
 
11.9%
3 108
 
10.7%
4 72
 
7.1%
1 42
 
4.2%
5 6
 
0.6%
Latin
ValueCountFrequency (%)
E 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2172
68.2%
ASCII 1014
31.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 330
32.5%
) 330
32.5%
2 120
 
11.8%
3 108
 
10.7%
4 72
 
7.1%
1 42
 
4.1%
5 6
 
0.6%
E 6
 
0.6%
Hangul
ValueCountFrequency (%)
대 126
 
5.8%
신 96
 
4.4%
구 90
 
4.1%
동 78
 
3.6%
지 72
 
3.3%
문 54
 
2.5%
입 54
 
2.5%
수 42
 
1.9%
가 42
 
1.9%
로 42
 
1.9%
Other values (129) 1476
68.0%

역번
Real number (ℝ)

Distinct124
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean571.58065
Minimum150
Maximum9009
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:27.524342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile156
Q1221.75
median310.5
Q3341.25
95-th percentile432
Maximum9009
Range8859
Interquartile range (IQR)119.5

Descriptive statistics

Standard deviation1543.5714
Coefficient of variation (CV)2.7005312
Kurtosis26.039941
Mean571.58065
Median Absolute Deviation (MAD)88
Skewness5.2794912
Sum425256
Variance2382612.5
MonotonicityNot monotonic
2024-05-11T07:25:28.103134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
158 6
 
0.8%
334 6
 
0.8%
413 6
 
0.8%
412 6
 
0.8%
411 6
 
0.8%
410 6
 
0.8%
409 6
 
0.8%
342 6
 
0.8%
341 6
 
0.8%
340 6
 
0.8%
Other values (114) 684
91.9%
ValueCountFrequency (%)
150 6
0.8%
151 6
0.8%
152 6
0.8%
153 6
0.8%
154 6
0.8%
155 6
0.8%
156 6
0.8%
157 6
0.8%
158 6
0.8%
159 6
0.8%
ValueCountFrequency (%)
9009 6
0.8%
9008 6
0.8%
9007 6
0.8%
9006 6
0.8%
434 6
0.8%
433 6
0.8%
432 6
0.8%
431 6
0.8%
430 6
0.8%
429 6
0.8%

05:00
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.927419
Minimum0
Maximum91
Zeros48
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:28.761877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median14
Q323
95-th percentile43.85
Maximum91
Range91
Interquartile range (IQR)16

Descriptive statistics

Standard deviation14.189739
Coefficient of variation (CV)0.83826948
Kurtosis4.9558308
Mean16.927419
Median Absolute Deviation (MAD)8
Skewness1.8296549
Sum12594
Variance201.3487
MonotonicityNot monotonic
2024-05-11T07:25:29.373811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
6.5%
6 42
 
5.6%
10 40
 
5.4%
7 30
 
4.0%
14 29
 
3.9%
13 28
 
3.8%
5 28
 
3.8%
8 27
 
3.6%
15 26
 
3.5%
11 24
 
3.2%
Other values (57) 422
56.7%
ValueCountFrequency (%)
0 48
6.5%
1 5
 
0.7%
2 11
 
1.5%
3 15
 
2.0%
4 21
2.8%
5 28
3.8%
6 42
5.6%
7 30
4.0%
8 27
3.6%
9 24
3.2%
ValueCountFrequency (%)
91 1
 
0.1%
85 2
0.3%
82 3
0.4%
77 1
 
0.1%
76 1
 
0.1%
72 1
 
0.1%
70 1
 
0.1%
69 1
 
0.1%
68 1
 
0.1%
60 1
 
0.1%

06:00
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.952957
Minimum0
Maximum68
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:29.872141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median15
Q322
95-th percentile37.85
Maximum68
Range68
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.845753
Coefficient of variation (CV)0.63975582
Kurtosis2.8802074
Mean16.952957
Median Absolute Deviation (MAD)5
Skewness1.3659185
Sum12613
Variance117.63035
MonotonicityNot monotonic
2024-05-11T07:25:30.534776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 54
 
7.3%
11 49
 
6.6%
14 41
 
5.5%
12 36
 
4.8%
16 35
 
4.7%
15 31
 
4.2%
8 31
 
4.2%
13 31
 
4.2%
17 28
 
3.8%
18 27
 
3.6%
Other values (47) 381
51.2%
ValueCountFrequency (%)
0 24
3.2%
2 7
 
0.9%
3 12
 
1.6%
4 16
 
2.2%
5 13
 
1.7%
6 17
 
2.3%
7 17
 
2.3%
8 31
4.2%
9 18
 
2.4%
10 54
7.3%
ValueCountFrequency (%)
68 1
0.1%
65 1
0.1%
64 2
0.3%
60 1
0.1%
59 1
0.1%
56 1
0.1%
55 1
0.1%
54 1
0.1%
53 1
0.1%
52 1
0.1%

07:00
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.025538
Minimum0
Maximum131
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:31.490778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median18
Q331
95-th percentile69
Maximum131
Range131
Interquartile range (IQR)20

Descriptive statistics

Standard deviation22.081963
Coefficient of variation (CV)0.88237715
Kurtosis4.3093909
Mean25.025538
Median Absolute Deviation (MAD)8
Skewness1.9266531
Sum18619
Variance487.61308
MonotonicityNot monotonic
2024-05-11T07:25:32.180978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 38
 
5.1%
14 36
 
4.8%
15 31
 
4.2%
17 30
 
4.0%
10 27
 
3.6%
11 26
 
3.5%
19 26
 
3.5%
16 26
 
3.5%
0 24
 
3.2%
8 21
 
2.8%
Other values (86) 459
61.7%
ValueCountFrequency (%)
0 24
3.2%
1 1
 
0.1%
2 7
 
0.9%
3 11
1.5%
4 13
1.7%
5 9
 
1.2%
6 12
1.6%
7 20
2.7%
8 21
2.8%
9 20
2.7%
ValueCountFrequency (%)
131 1
0.1%
129 1
0.1%
127 1
0.1%
124 1
0.1%
118 1
0.1%
111 1
0.1%
110 1
0.1%
109 1
0.1%
108 1
0.1%
104 1
0.1%

08:00
Real number (ℝ)

ZEROS 

Distinct128
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.047043
Minimum0
Maximum191
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:32.760533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q119
median28
Q349.25
95-th percentile109.85
Maximum191
Range191
Interquartile range (IQR)30.25

Descriptive statistics

Standard deviation31.995696
Coefficient of variation (CV)0.81941406
Kurtosis3.2248255
Mean39.047043
Median Absolute Deviation (MAD)12
Skewness1.6889496
Sum29051
Variance1023.7246
MonotonicityNot monotonic
2024-05-11T07:25:33.297791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 25
 
3.4%
0 24
 
3.2%
22 23
 
3.1%
25 22
 
3.0%
28 22
 
3.0%
19 21
 
2.8%
21 21
 
2.8%
27 20
 
2.7%
17 19
 
2.6%
23 18
 
2.4%
Other values (118) 529
71.1%
ValueCountFrequency (%)
0 24
3.2%
2 3
 
0.4%
3 4
 
0.5%
4 5
 
0.7%
5 9
 
1.2%
6 11
1.5%
7 4
 
0.5%
8 7
 
0.9%
9 4
 
0.5%
10 3
 
0.4%
ValueCountFrequency (%)
191 1
0.1%
186 1
0.1%
179 1
0.1%
175 1
0.1%
165 1
0.1%
156 1
0.1%
154 1
0.1%
150 2
0.3%
148 1
0.1%
141 1
0.1%

09:00
Real number (ℝ)

ZEROS 

Distinct101
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.11828
Minimum0
Maximum122
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:33.793988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q122
median32
Q345
95-th percentile77.7
Maximum122
Range122
Interquartile range (IQR)23

Descriptive statistics

Standard deviation21.113154
Coefficient of variation (CV)0.60120126
Kurtosis1.6373159
Mean35.11828
Median Absolute Deviation (MAD)11
Skewness1.0373719
Sum26128
Variance445.76526
MonotonicityNot monotonic
2024-05-11T07:25:34.249943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 25
 
3.4%
0 24
 
3.2%
25 24
 
3.2%
26 23
 
3.1%
31 23
 
3.1%
29 21
 
2.8%
38 21
 
2.8%
21 20
 
2.7%
24 20
 
2.7%
37 19
 
2.6%
Other values (91) 524
70.4%
ValueCountFrequency (%)
0 24
3.2%
2 1
 
0.1%
3 2
 
0.3%
4 5
 
0.7%
5 5
 
0.7%
6 8
 
1.1%
7 6
 
0.8%
8 9
 
1.2%
9 10
1.3%
10 5
 
0.7%
ValueCountFrequency (%)
122 1
0.1%
120 2
0.3%
110 1
0.1%
108 1
0.1%
107 1
0.1%
105 2
0.3%
100 1
0.1%
99 1
0.1%
97 1
0.1%
96 2
0.3%

10:00
Real number (ℝ)

ZEROS 

Distinct83
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.438172
Minimum0
Maximum94
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:34.676961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q122.75
median32
Q344
95-th percentile64
Maximum94
Range94
Interquartile range (IQR)21.25

Descriptive statistics

Standard deviation17.760905
Coefficient of variation (CV)0.53115657
Kurtosis0.52232459
Mean33.438172
Median Absolute Deviation (MAD)11
Skewness0.49593227
Sum24878
Variance315.44974
MonotonicityNot monotonic
2024-05-11T07:25:35.101468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 27
 
3.6%
0 24
 
3.2%
28 23
 
3.1%
33 23
 
3.1%
39 22
 
3.0%
30 21
 
2.8%
21 21
 
2.8%
32 20
 
2.7%
24 18
 
2.4%
37 18
 
2.4%
Other values (73) 527
70.8%
ValueCountFrequency (%)
0 24
3.2%
2 1
 
0.1%
3 1
 
0.1%
4 4
 
0.5%
5 6
 
0.8%
6 4
 
0.5%
7 7
 
0.9%
8 10
1.3%
9 12
1.6%
10 15
2.0%
ValueCountFrequency (%)
94 2
0.3%
93 1
 
0.1%
92 2
0.3%
87 3
0.4%
86 1
 
0.1%
85 1
 
0.1%
83 1
 
0.1%
81 2
0.3%
75 3
0.4%
74 1
 
0.1%

11:00
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.651882
Minimum0
Maximum107
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:35.536546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q127
median38
Q349
95-th percentile67
Maximum107
Range107
Interquartile range (IQR)22

Descriptive statistics

Standard deviation18.777755
Coefficient of variation (CV)0.49872023
Kurtosis0.091874661
Mean37.651882
Median Absolute Deviation (MAD)11
Skewness0.10813353
Sum28013
Variance352.60409
MonotonicityNot monotonic
2024-05-11T07:25:35.935187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 27
 
3.6%
35 27
 
3.6%
0 24
 
3.2%
40 23
 
3.1%
41 23
 
3.1%
37 23
 
3.1%
33 20
 
2.7%
43 19
 
2.6%
44 19
 
2.6%
30 18
 
2.4%
Other values (79) 521
70.0%
ValueCountFrequency (%)
0 24
3.2%
2 3
 
0.4%
3 1
 
0.1%
4 2
 
0.3%
5 5
 
0.7%
6 5
 
0.7%
7 9
 
1.2%
8 3
 
0.4%
9 12
1.6%
10 13
1.7%
ValueCountFrequency (%)
107 1
0.1%
99 1
0.1%
93 2
0.3%
92 1
0.1%
90 1
0.1%
88 1
0.1%
87 1
0.1%
83 2
0.3%
81 2
0.3%
80 1
0.1%

12:00
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.696237
Minimum0
Maximum114
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:36.306217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q129
median42
Q354
95-th percentile71
Maximum114
Range114
Interquartile range (IQR)25

Descriptive statistics

Standard deviation19.387851
Coefficient of variation (CV)0.47640402
Kurtosis-0.17451218
Mean40.696237
Median Absolute Deviation (MAD)12
Skewness-0.12888648
Sum30278
Variance375.88876
MonotonicityNot monotonic
2024-05-11T07:25:36.716441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44 24
 
3.2%
0 24
 
3.2%
42 23
 
3.1%
47 21
 
2.8%
41 20
 
2.7%
46 20
 
2.7%
34 19
 
2.6%
35 18
 
2.4%
33 18
 
2.4%
56 17
 
2.3%
Other values (78) 540
72.6%
ValueCountFrequency (%)
0 24
3.2%
2 1
 
0.1%
3 2
 
0.3%
4 2
 
0.3%
5 4
 
0.5%
6 2
 
0.3%
7 4
 
0.5%
8 11
1.5%
9 7
 
0.9%
10 10
1.3%
ValueCountFrequency (%)
114 1
0.1%
93 1
0.1%
90 2
0.3%
89 1
0.1%
88 1
0.1%
86 1
0.1%
85 1
0.1%
83 1
0.1%
82 1
0.1%
81 1
0.1%

13:00
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.084677
Minimum0
Maximum118
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:37.168723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q132
median45
Q357
95-th percentile78
Maximum118
Range118
Interquartile range (IQR)25

Descriptive statistics

Standard deviation21.163965
Coefficient of variation (CV)0.4800753
Kurtosis-0.079778226
Mean44.084677
Median Absolute Deviation (MAD)12
Skewness-0.048444566
Sum32799
Variance447.91341
MonotonicityNot monotonic
2024-05-11T07:25:37.653552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24
 
3.2%
39 21
 
2.8%
41 20
 
2.7%
49 20
 
2.7%
45 20
 
2.7%
46 20
 
2.7%
54 20
 
2.7%
48 19
 
2.6%
40 18
 
2.4%
57 16
 
2.2%
Other values (86) 546
73.4%
ValueCountFrequency (%)
0 24
3.2%
2 1
 
0.1%
3 1
 
0.1%
4 2
 
0.3%
5 4
 
0.5%
6 1
 
0.1%
7 2
 
0.3%
8 11
1.5%
9 4
 
0.5%
10 5
 
0.7%
ValueCountFrequency (%)
118 1
0.1%
107 1
0.1%
106 1
0.1%
104 1
0.1%
103 1
0.1%
97 1
0.1%
92 2
0.3%
91 1
0.1%
90 1
0.1%
89 1
0.1%

14:00
Real number (ℝ)

ZEROS 

Distinct91
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.91129
Minimum0
Maximum122
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:38.090402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q133
median44
Q357.25
95-th percentile78
Maximum122
Range122
Interquartile range (IQR)24.25

Descriptive statistics

Standard deviation21.011698
Coefficient of variation (CV)0.47850331
Kurtosis-0.0090401176
Mean43.91129
Median Absolute Deviation (MAD)13
Skewness-0.05009582
Sum32670
Variance441.49145
MonotonicityNot monotonic
2024-05-11T07:25:38.673975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43 28
 
3.8%
44 28
 
3.8%
40 25
 
3.4%
0 24
 
3.2%
42 21
 
2.8%
45 20
 
2.7%
47 20
 
2.7%
59 18
 
2.4%
50 17
 
2.3%
48 16
 
2.2%
Other values (81) 527
70.8%
ValueCountFrequency (%)
0 24
3.2%
3 2
 
0.3%
4 2
 
0.3%
5 4
 
0.5%
6 1
 
0.1%
7 4
 
0.5%
8 9
 
1.2%
9 10
1.3%
10 8
 
1.1%
11 7
 
0.9%
ValueCountFrequency (%)
122 1
 
0.1%
115 1
 
0.1%
106 1
 
0.1%
94 1
 
0.1%
92 1
 
0.1%
91 5
0.7%
87 1
 
0.1%
86 3
0.4%
85 1
 
0.1%
84 2
 
0.3%

15:00
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.02957
Minimum0
Maximum122
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:39.120918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q134
median47
Q359
95-th percentile78
Maximum122
Range122
Interquartile range (IQR)25

Descriptive statistics

Standard deviation21.229672
Coefficient of variation (CV)0.4714607
Kurtosis-0.074925346
Mean45.02957
Median Absolute Deviation (MAD)13
Skewness-0.17823698
Sum33502
Variance450.69899
MonotonicityNot monotonic
2024-05-11T07:25:39.602123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43 25
 
3.4%
0 24
 
3.2%
47 23
 
3.1%
46 22
 
3.0%
42 22
 
3.0%
39 19
 
2.6%
53 19
 
2.6%
50 18
 
2.4%
52 18
 
2.4%
51 17
 
2.3%
Other values (84) 537
72.2%
ValueCountFrequency (%)
0 24
3.2%
3 1
 
0.1%
4 3
 
0.4%
5 3
 
0.4%
6 2
 
0.3%
7 4
 
0.5%
8 8
 
1.1%
9 11
1.5%
10 8
 
1.1%
11 9
 
1.2%
ValueCountFrequency (%)
122 1
0.1%
121 1
0.1%
97 1
0.1%
96 1
0.1%
92 1
0.1%
91 1
0.1%
89 1
0.1%
88 2
0.3%
87 2
0.3%
86 2
0.3%

16:00
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.40457
Minimum0
Maximum98
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:40.058835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q135
median48
Q359
95-th percentile80
Maximum98
Range98
Interquartile range (IQR)24

Descriptive statistics

Standard deviation21.542072
Coefficient of variation (CV)0.46422307
Kurtosis-0.30324121
Mean46.40457
Median Absolute Deviation (MAD)12
Skewness-0.193912
Sum34525
Variance464.06087
MonotonicityNot monotonic
2024-05-11T07:25:40.480246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 26
 
3.5%
47 25
 
3.4%
0 24
 
3.2%
49 23
 
3.1%
44 20
 
2.7%
58 19
 
2.6%
45 18
 
2.4%
54 18
 
2.4%
43 18
 
2.4%
48 17
 
2.3%
Other values (84) 536
72.0%
ValueCountFrequency (%)
0 24
3.2%
3 2
 
0.3%
4 3
 
0.4%
5 1
 
0.1%
6 3
 
0.4%
7 2
 
0.3%
8 5
 
0.7%
9 4
 
0.5%
10 8
 
1.1%
11 9
 
1.2%
ValueCountFrequency (%)
98 3
0.4%
95 1
 
0.1%
94 1
 
0.1%
93 1
 
0.1%
92 1
 
0.1%
91 1
 
0.1%
90 1
 
0.1%
89 5
0.7%
88 5
0.7%
87 4
0.5%

17:00
Real number (ℝ)

ZEROS 

Distinct109
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.481183
Minimum0
Maximum121
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:40.893437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q137
median50
Q363
95-th percentile89.7
Maximum121
Range121
Interquartile range (IQR)26

Descriptive statistics

Standard deviation23.671079
Coefficient of variation (CV)0.47838547
Kurtosis-0.042194218
Mean49.481183
Median Absolute Deviation (MAD)13
Skewness0.027607735
Sum36814
Variance560.31997
MonotonicityNot monotonic
2024-05-11T07:25:41.336161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24
 
3.2%
52 24
 
3.2%
51 21
 
2.8%
45 21
 
2.8%
58 19
 
2.6%
46 19
 
2.6%
59 17
 
2.3%
47 17
 
2.3%
41 17
 
2.3%
55 16
 
2.2%
Other values (99) 549
73.8%
ValueCountFrequency (%)
0 24
3.2%
3 2
 
0.3%
4 2
 
0.3%
5 1
 
0.1%
6 1
 
0.1%
7 2
 
0.3%
8 5
 
0.7%
9 4
 
0.5%
10 4
 
0.5%
11 4
 
0.5%
ValueCountFrequency (%)
121 1
0.1%
118 1
0.1%
116 1
0.1%
112 2
0.3%
111 2
0.3%
107 2
0.3%
106 1
0.1%
105 1
0.1%
104 1
0.1%
102 1
0.1%

18:00
Real number (ℝ)

ZEROS 

Distinct124
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.430108
Minimum0
Maximum167
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:41.781044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q133
median50
Q367.25
95-th percentile101
Maximum167
Range167
Interquartile range (IQR)34.25

Descriptive statistics

Standard deviation27.976638
Coefficient of variation (CV)0.54397394
Kurtosis0.69114803
Mean51.430108
Median Absolute Deviation (MAD)17
Skewness0.4999842
Sum38264
Variance782.69228
MonotonicityNot monotonic
2024-05-11T07:25:42.269873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24
 
3.2%
51 19
 
2.6%
47 18
 
2.4%
50 17
 
2.3%
53 16
 
2.2%
46 15
 
2.0%
54 15
 
2.0%
57 15
 
2.0%
45 14
 
1.9%
71 14
 
1.9%
Other values (114) 577
77.6%
ValueCountFrequency (%)
0 24
3.2%
3 3
 
0.4%
4 1
 
0.1%
5 2
 
0.3%
6 4
 
0.5%
7 7
 
0.9%
8 3
 
0.4%
9 2
 
0.3%
10 5
 
0.7%
11 7
 
0.9%
ValueCountFrequency (%)
167 1
0.1%
162 1
0.1%
155 1
0.1%
144 1
0.1%
142 1
0.1%
136 1
0.1%
129 2
0.3%
126 1
0.1%
124 1
0.1%
123 1
0.1%

19:00
Real number (ℝ)

ZEROS 

Distinct101
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.798387
Minimum0
Maximum122
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:42.687285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q124.75
median38
Q353
95-th percentile79
Maximum122
Range122
Interquartile range (IQR)28.25

Descriptive statistics

Standard deviation22.658853
Coefficient of variation (CV)0.56934099
Kurtosis0.58186772
Mean39.798387
Median Absolute Deviation (MAD)15
Skewness0.57507007
Sum29610
Variance513.42363
MonotonicityNot monotonic
2024-05-11T07:25:43.149030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 26
 
3.5%
34 26
 
3.5%
0 24
 
3.2%
35 23
 
3.1%
40 19
 
2.6%
39 17
 
2.3%
47 17
 
2.3%
38 15
 
2.0%
45 14
 
1.9%
31 14
 
1.9%
Other values (91) 549
73.8%
ValueCountFrequency (%)
0 24
3.2%
2 3
 
0.4%
3 1
 
0.1%
4 5
 
0.7%
5 7
 
0.9%
6 5
 
0.7%
7 9
 
1.2%
8 11
1.5%
9 7
 
0.9%
10 10
1.3%
ValueCountFrequency (%)
122 1
 
0.1%
120 1
 
0.1%
116 1
 
0.1%
114 3
0.4%
111 1
 
0.1%
110 1
 
0.1%
108 1
 
0.1%
106 1
 
0.1%
104 1
 
0.1%
97 3
0.4%

20:00
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.079301
Minimum0
Maximum93
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:43.862525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.15
Q120
median33.5
Q344
95-th percentile66.85
Maximum93
Range93
Interquartile range (IQR)24

Descriptive statistics

Standard deviation18.344847
Coefficient of variation (CV)0.55457178
Kurtosis-0.22890326
Mean33.079301
Median Absolute Deviation (MAD)11.5
Skewness0.28559992
Sum24611
Variance336.53341
MonotonicityNot monotonic
2024-05-11T07:25:44.280028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 29
 
3.9%
0 24
 
3.2%
26 22
 
3.0%
35 21
 
2.8%
34 21
 
2.8%
29 19
 
2.6%
43 19
 
2.6%
39 18
 
2.4%
44 17
 
2.3%
30 17
 
2.3%
Other values (71) 537
72.2%
ValueCountFrequency (%)
0 24
3.2%
2 3
 
0.4%
3 4
 
0.5%
4 7
 
0.9%
5 14
1.9%
6 6
 
0.8%
7 10
1.3%
8 9
 
1.2%
9 12
1.6%
10 7
 
0.9%
ValueCountFrequency (%)
93 1
 
0.1%
91 1
 
0.1%
89 1
 
0.1%
85 1
 
0.1%
82 1
 
0.1%
80 1
 
0.1%
76 1
 
0.1%
75 1
 
0.1%
74 4
0.5%
73 3
0.4%

21:00
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.379032
Minimum0
Maximum129
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:44.712449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q119
median34
Q347
95-th percentile72
Maximum129
Range129
Interquartile range (IQR)28

Descriptive statistics

Standard deviation21.510181
Coefficient of variation (CV)0.60799236
Kurtosis1.3651191
Mean35.379032
Median Absolute Deviation (MAD)14
Skewness0.7778579
Sum26322
Variance462.6879
MonotonicityNot monotonic
2024-05-11T07:25:45.181884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24
 
3.2%
36 20
 
2.7%
34 20
 
2.7%
47 18
 
2.4%
40 17
 
2.3%
35 17
 
2.3%
32 17
 
2.3%
33 17
 
2.3%
28 17
 
2.3%
31 16
 
2.2%
Other values (85) 561
75.4%
ValueCountFrequency (%)
0 24
3.2%
1 1
 
0.1%
2 3
 
0.4%
3 5
 
0.7%
4 8
 
1.1%
5 8
 
1.1%
6 10
1.3%
7 9
 
1.2%
8 10
1.3%
9 6
 
0.8%
ValueCountFrequency (%)
129 2
0.3%
125 1
0.1%
118 1
0.1%
116 1
0.1%
108 1
0.1%
99 2
0.3%
98 1
0.1%
97 1
0.1%
96 1
0.1%
92 1
0.1%

22:00
Real number (ℝ)

ZEROS 

Distinct108
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.694892
Minimum0
Maximum141
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:45.644346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.15
Q120
median35
Q351
95-th percentile81
Maximum141
Range141
Interquartile range (IQR)31

Descriptive statistics

Standard deviation24.164915
Coefficient of variation (CV)0.64106603
Kurtosis1.6372316
Mean37.694892
Median Absolute Deviation (MAD)15
Skewness0.92947881
Sum28045
Variance583.94312
MonotonicityNot monotonic
2024-05-11T07:25:46.120750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24
 
3.2%
32 23
 
3.1%
50 21
 
2.8%
40 17
 
2.3%
31 17
 
2.3%
34 16
 
2.2%
13 15
 
2.0%
42 15
 
2.0%
33 15
 
2.0%
29 14
 
1.9%
Other values (98) 567
76.2%
ValueCountFrequency (%)
0 24
3.2%
2 4
 
0.5%
3 3
 
0.4%
4 7
 
0.9%
5 10
1.3%
6 11
1.5%
7 10
1.3%
8 14
1.9%
9 9
 
1.2%
10 8
 
1.1%
ValueCountFrequency (%)
141 2
0.3%
140 1
0.1%
136 1
0.1%
131 1
0.1%
117 2
0.3%
114 1
0.1%
113 1
0.1%
108 1
0.1%
106 1
0.1%
104 1
0.1%

23:00
Real number (ℝ)

ZEROS 

Distinct93
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.571237
Minimum0
Maximum118
Zeros24
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:46.612719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q115
median28
Q341
95-th percentile69
Maximum118
Range118
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.783516
Coefficient of variation (CV)0.67983891
Kurtosis1.1368803
Mean30.571237
Median Absolute Deviation (MAD)13
Skewness0.94943786
Sum22745
Variance431.95454
MonotonicityNot monotonic
2024-05-11T07:25:47.131979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24
 
3.2%
30 23
 
3.1%
24 21
 
2.8%
31 21
 
2.8%
27 20
 
2.7%
13 20
 
2.7%
8 19
 
2.6%
6 19
 
2.6%
28 18
 
2.4%
36 17
 
2.3%
Other values (83) 542
72.8%
ValueCountFrequency (%)
0 24
3.2%
1 3
 
0.4%
2 4
 
0.5%
3 9
 
1.2%
4 14
1.9%
5 15
2.0%
6 19
2.6%
7 7
 
0.9%
8 19
2.6%
9 16
2.2%
ValueCountFrequency (%)
118 1
0.1%
108 1
0.1%
104 1
0.1%
103 1
0.1%
100 1
0.1%
97 2
0.3%
96 2
0.3%
93 2
0.3%
91 1
0.1%
90 1
0.1%

00:00
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3266129
Minimum0
Maximum70
Zeros452
Zeros (%)60.8%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-05-11T07:25:47.743948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310.25
95-th percentile28
Maximum70
Range70
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation10.810097
Coefficient of variation (CV)1.7086705
Kurtosis6.7409081
Mean6.3266129
Median Absolute Deviation (MAD)0
Skewness2.3070957
Sum4707
Variance116.85819
MonotonicityNot monotonic
2024-05-11T07:25:48.291750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 452
60.8%
10 22
 
3.0%
12 21
 
2.8%
5 15
 
2.0%
17 14
 
1.9%
11 14
 
1.9%
13 13
 
1.7%
22 12
 
1.6%
2 12
 
1.6%
9 11
 
1.5%
Other values (36) 158
 
21.2%
ValueCountFrequency (%)
0 452
60.8%
1 6
 
0.8%
2 12
 
1.6%
3 6
 
0.8%
4 8
 
1.1%
5 15
 
2.0%
6 9
 
1.2%
7 7
 
0.9%
8 10
 
1.3%
9 11
 
1.5%
ValueCountFrequency (%)
70 1
 
0.1%
66 1
 
0.1%
64 1
 
0.1%
63 2
0.3%
58 1
 
0.1%
46 1
 
0.1%
43 2
0.3%
40 1
 
0.1%
39 4
0.5%
37 2
0.3%

Unnamed: 25
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
0
496 
<NA>
248 

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 496
66.7%
<NA> 248
33.3%

Length

2024-05-11T07:25:48.851187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:25:49.299152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 496
66.7%
na 248
33.3%

Unnamed: 26
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
0
496 
<NA>
248 

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 496
66.7%
<NA> 248
33.3%

Length

2024-05-11T07:25:49.698665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:25:50.191340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 496
66.7%
na 248
33.3%

Unnamed: 27
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
0
496 
<NA>
248 

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 496
66.7%
<NA> 248
33.3%

Length

2024-05-11T07:25:50.727120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:25:51.242447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 496
66.7%
na 248
33.3%

Unnamed: 28
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
0
496 
<NA>
248 

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 496
66.7%
<NA> 248
33.3%

Length

2024-05-11T07:25:51.988550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:25:52.596571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 496
66.7%
na 248
33.3%

Sample

사용일호선구분역명역번05:0006:0007:0008:0009:0010:0011:0012:0013:0014:0015:0016:0017:0018:0019:0020:0021:0022:0023:0000:00Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28
0평일1호선상선청량리(1)15878122426283230343641467279795058694418<NA><NA><NA><NA>
1평일1호선상선제기동15779122524252728303235395870614048552514<NA><NA><NA><NA>
2평일1호선상선신설동(1)156710142728303335363839415872624149572515<NA><NA><NA><NA>
3평일1호선상선동묘앞(1)159711173534323535393940425874614051582616<NA><NA><NA><NA>
4평일1호선상선동대문(1)155812193932303537424343455378624151532710<NA><NA><NA><NA>
5평일1호선상선종로5가154613214136343840454647475585704557572811<NA><NA><NA><NA>
6평일1호선상선종로3가(1)153715275444394347484747475483624254532711<NA><NA><NA><NA>
7평일1호선상선종각152715295048384545464341424777553848462410<NA><NA><NA><NA>
8평일1호선상선시청(1)151619397361424747484140394367483034321810<NA><NA><NA><NA>
9평일1호선상선서울역(1)15092053946640504746403637395840262823159<NA><NA><NA><NA>
사용일호선구분역명역번05:0006:0007:0008:0009:0010:0011:0012:0013:0014:0015:0016:0017:0018:0019:0020:0021:0022:0023:0000:00Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28
734일요일성수지선외선신설동(지선)246000000000000000000000000
735일요일성수지선외선용두2502244691011131187866666400000
736일요일성수지선외선신답24522457101111151298977778500000
737일요일성수지선외선용답244224561011121412991088889600000
738일요일성수지선외선성수(지선)900913446109121313911111110111012800000
739일요일신정지선외선신도림(지선)9008000000000000000000000000
740일요일신정지선외선도림천247141110172524232324211717161210876400000
741일요일신정지선외선양천구청248141110172424232323201717161210977400000
742일요일신정지선외선신정네거리249118712191717161715131313118766400000
743일요일신정지선외선까치산(지선)9007333588788888876555400000