Overview

Dataset statistics

Number of variables9
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.7 KiB
Average record size in memory77.3 B

Variable types

DateTime1
Numeric4
Text2
Categorical2

Dataset

Description샘플 데이터
Author서울시(스마트카드사)
URLhttps://bigdata.seoul.go.kr/data/selectSampleData.do?sample_data_seq=14

Alerts

승차총승객수 has 120 (24.0%) zerosZeros
하차총승객수 has 98 (19.6%) zerosZeros

Reproduction

Analysis started2024-04-16 11:26:12.776693
Analysis finished2024-04-16 11:26:17.018308
Duration4.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

운행일자
Date

Distinct358
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2014-01-04 00:00:00
Maximum2015-10-30 00:00:00
2024-04-16T20:26:17.080661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:26:17.240633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

노선ID
Real number (ℝ)

Distinct241
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11110625
Minimum11110267
Maximum11111000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-16T20:26:17.384765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110267
5-th percentile11110294
Q111110396
median11110616
Q311110872
95-th percentile11110980
Maximum11111000
Range733
Interquartile range (IQR)476.25

Descriptive statistics

Standard deviation238.84669
Coefficient of variation (CV)2.1497142 × 10-5
Kurtosis-1.354378
Mean11110625
Median Absolute Deviation (MAD)245
Skewness0.098076584
Sum5.5553126 × 109
Variance57047.741
MonotonicityNot monotonic
2024-04-16T20:26:17.510542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11110414 7
 
1.4%
11110999 7
 
1.4%
11110304 6
 
1.2%
11110308 6
 
1.2%
11110350 5
 
1.0%
11110294 5
 
1.0%
11110962 5
 
1.0%
11110959 5
 
1.0%
11110942 4
 
0.8%
11110416 4
 
0.8%
Other values (231) 446
89.2%
ValueCountFrequency (%)
11110267 2
0.4%
11110269 4
0.8%
11110270 4
0.8%
11110282 2
0.4%
11110285 2
0.4%
11110287 1
 
0.2%
11110288 1
 
0.2%
11110289 1
 
0.2%
11110290 4
0.8%
11110291 1
 
0.2%
ValueCountFrequency (%)
11111000 2
 
0.4%
11110999 7
1.4%
11110998 3
0.6%
11110993 1
 
0.2%
11110991 2
 
0.4%
11110988 2
 
0.4%
11110984 3
0.6%
11110983 3
0.6%
11110982 2
 
0.4%
11110980 3
0.6%

노선
Text

Distinct235
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-16T20:26:17.734643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length16.698
Min length12

Characters and Unicode

Total characters8349
Distinct characters279
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)19.8%

Sample

1st row6411번(구로동~개포동)
2nd row7730번(은평공영차고지~이북오도청)
3rd row2312번(중랑공영차고지~강동공영차고지)
4th row670번(온수동~디지털미디어시티역)
5th row240번(중랑공영차고지~신사역사거리)
ValueCountFrequency (%)
6411번(구로동~개포동 8
 
1.6%
3318번(강동차고지~미사강변도시~마천동 8
 
1.6%
242번(중랑공영차고지~개포시영아파트 8
 
1.6%
202번(불암동~후암동 7
 
1.4%
421번(염곡동~옥수동 6
 
1.2%
7613번(갈현동~여의도 6
 
1.2%
121번(화계사~서울숲 6
 
1.2%
6631번(강서공영차고지~영등포역 6
 
1.2%
1122번(상진운수차고지~원자력병원 5
 
1.0%
서초13(이수역~동덕여고 5
 
1.0%
Other values (225) 435
87.0%
2024-04-16T20:26:18.077075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
~ 508
 
6.1%
) 503
 
6.0%
( 503
 
6.0%
1 335
 
4.0%
동 302
 
3.6%
2 271
 
3.2%
번 270
 
3.2%
역 262
 
3.1%
0 220
 
2.6%
지 211
 
2.5%
Other values (269) 4964
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5239
62.8%
Decimal Number 1560
 
18.7%
Math Symbol 508
 
6.1%
Close Punctuation 503
 
6.0%
Open Punctuation 503
 
6.0%
Uppercase Letter 24
 
0.3%
Other Punctuation 9
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 302
 
5.8%
번 270
 
5.2%
역 262
 
5.0%
지 211
 
4.0%
고 177
 
3.4%
차 161
 
3.1%
영 136
 
2.6%
공 119
 
2.3%
서 93
 
1.8%
대 88
 
1.7%
Other values (244) 3420
65.3%
Decimal Number
ValueCountFrequency (%)
1 335
21.5%
2 271
17.4%
0 220
14.1%
6 196
12.6%
3 163
10.4%
7 112
 
7.2%
5 94
 
6.0%
4 92
 
5.9%
9 39
 
2.5%
8 38
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
N 10
41.7%
A 3
 
12.5%
B 3
 
12.5%
H 2
 
8.3%
L 2
 
8.3%
S 1
 
4.2%
K 1
 
4.2%
P 1
 
4.2%
T 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 5
55.6%
, 4
44.4%
Math Symbol
ValueCountFrequency (%)
~ 508
100.0%
Close Punctuation
ValueCountFrequency (%)
) 503
100.0%
Open Punctuation
ValueCountFrequency (%)
( 503
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5239
62.8%
Common 3086
37.0%
Latin 24
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 302
 
5.8%
번 270
 
5.2%
역 262
 
5.0%
지 211
 
4.0%
고 177
 
3.4%
차 161
 
3.1%
영 136
 
2.6%
공 119
 
2.3%
서 93
 
1.8%
대 88
 
1.7%
Other values (244) 3420
65.3%
Common
ValueCountFrequency (%)
~ 508
16.5%
) 503
16.3%
( 503
16.3%
1 335
10.9%
2 271
8.8%
0 220
7.1%
6 196
 
6.4%
3 163
 
5.3%
7 112
 
3.6%
5 94
 
3.0%
Other values (6) 181
 
5.9%
Latin
ValueCountFrequency (%)
N 10
41.7%
A 3
 
12.5%
B 3
 
12.5%
H 2
 
8.3%
L 2
 
8.3%
S 1
 
4.2%
K 1
 
4.2%
P 1
 
4.2%
T 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5239
62.8%
ASCII 3110
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
~ 508
16.3%
) 503
16.2%
( 503
16.2%
1 335
10.8%
2 271
8.7%
0 220
7.1%
6 196
 
6.3%
3 163
 
5.2%
7 112
 
3.6%
5 94
 
3.0%
Other values (15) 205
6.6%
Hangul
ValueCountFrequency (%)
동 302
 
5.8%
번 270
 
5.2%
역 262
 
5.0%
지 211
 
4.0%
고 177
 
3.4%
차 161
 
3.1%
영 136
 
2.6%
공 119
 
2.3%
서 93
 
1.8%
대 88
 
1.7%
Other values (244) 3420
65.3%

정류장ID
Real number (ℝ)

Distinct488
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6363669.4
Minimum7356
Maximum9507038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-16T20:26:18.230783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7356
5-th percentile9797
Q174914.25
median9004747.5
Q39010728.2
95-th percentile9036062.4
Maximum9507038
Range9499682
Interquartile range (IQR)8935814

Descriptive statistics

Standard deviation4033298.3
Coefficient of variation (CV)0.63380073
Kurtosis-1.1305508
Mean6363669.4
Median Absolute Deviation (MAD)7969
Skewness-0.92560926
Sum3.1818347 × 109
Variance1.6267495 × 1013
MonotonicityNot monotonic
2024-04-16T20:26:18.373085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79041 2
 
0.4%
9001990 2
 
0.4%
9012795 2
 
0.4%
9008993 2
 
0.4%
9797 2
 
0.4%
9003619 2
 
0.4%
9008975 2
 
0.4%
73656 2
 
0.4%
9009299 2
 
0.4%
9001139 2
 
0.4%
Other values (478) 480
96.0%
ValueCountFrequency (%)
7356 1
0.2%
7387 1
0.2%
7584 1
0.2%
7633 1
0.2%
7643 1
0.2%
7862 1
0.2%
7990 1
0.2%
8185 1
0.2%
8283 1
0.2%
8989 1
0.2%
ValueCountFrequency (%)
9507038 1
0.2%
9506077 1
0.2%
9506074 1
0.2%
9501069 1
0.2%
9235840 1
0.2%
9135093 1
0.2%
9134662 1
0.2%
9133978 1
0.2%
9112691 1
0.2%
9112666 1
0.2%

정류장
Text

Distinct464
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-16T20:26:18.635758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length6.964
Min length3

Characters and Unicode

Total characters3482
Distinct characters354
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique435 ?
Unique (%)87.0%

Sample

1st row신트리아파트
2nd row월곡동두산아파트
3rd row경문고등학교
4th row성내주유소
5th row중앙동성당앞
ValueCountFrequency (%)
사당시장 4
 
0.8%
현대아파트 4
 
0.8%
서울역버스환승센터 3
 
0.6%
신도림역 3
 
0.6%
경복고교 3
 
0.6%
상계중앙시장입구 2
 
0.4%
합정역 2
 
0.4%
남구로역 2
 
0.4%
한양여대앞 2
 
0.4%
방림시장 2
 
0.4%
Other values (454) 473
94.6%
2024-04-16T20:26:19.014765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 110
 
3.2%
트 106
 
3.0%
동 105
 
3.0%
파 101
 
2.9%
교 96
 
2.8%
. 91
 
2.6%
구 78
 
2.2%
역 75
 
2.2%
대 66
 
1.9%
학 60
 
1.7%
Other values (344) 2594
74.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3274
94.0%
Other Punctuation 91
 
2.6%
Decimal Number 78
 
2.2%
Uppercase Letter 34
 
1.0%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 110
 
3.4%
트 106
 
3.2%
동 105
 
3.2%
파 101
 
3.1%
교 96
 
2.9%
구 78
 
2.4%
역 75
 
2.3%
대 66
 
2.0%
학 60
 
1.8%
고 53
 
1.6%
Other values (318) 2424
74.0%
Uppercase Letter
ValueCountFrequency (%)
S 7
20.6%
T 4
11.8%
A 4
11.8%
K 4
11.8%
G 3
8.8%
B 3
8.8%
P 3
8.8%
L 2
 
5.9%
R 1
 
2.9%
E 1
 
2.9%
Other values (2) 2
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 17
21.8%
2 14
17.9%
3 14
17.9%
4 14
17.9%
5 4
 
5.1%
7 4
 
5.1%
0 4
 
5.1%
9 3
 
3.8%
6 2
 
2.6%
8 2
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3274
94.0%
Common 173
 
5.0%
Latin 35
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 110
 
3.4%
트 106
 
3.2%
동 105
 
3.2%
파 101
 
3.1%
교 96
 
2.9%
구 78
 
2.4%
역 75
 
2.3%
대 66
 
2.0%
학 60
 
1.8%
고 53
 
1.6%
Other values (318) 2424
74.0%
Common
ValueCountFrequency (%)
. 91
52.6%
1 17
 
9.8%
2 14
 
8.1%
3 14
 
8.1%
4 14
 
8.1%
5 4
 
2.3%
7 4
 
2.3%
0 4
 
2.3%
9 3
 
1.7%
6 2
 
1.2%
Other values (3) 6
 
3.5%
Latin
ValueCountFrequency (%)
S 7
20.0%
T 4
11.4%
A 4
11.4%
K 4
11.4%
G 3
8.6%
B 3
8.6%
P 3
8.6%
L 2
 
5.7%
R 1
 
2.9%
E 1
 
2.9%
Other values (3) 3
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3274
94.0%
ASCII 208
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 110
 
3.4%
트 106
 
3.2%
동 105
 
3.2%
파 101
 
3.1%
교 96
 
2.9%
구 78
 
2.4%
역 75
 
2.3%
대 66
 
2.0%
학 60
 
1.8%
고 53
 
1.6%
Other values (318) 2424
74.0%
ASCII
ValueCountFrequency (%)
. 91
43.8%
1 17
 
8.2%
2 14
 
6.7%
3 14
 
6.7%
4 14
 
6.7%
S 7
 
3.4%
T 4
 
1.9%
5 4
 
1.9%
A 4
 
1.9%
K 4
 
1.9%
Other values (16) 35
 
16.8%

승차시간구분
Categorical

Distinct23
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
15:00:00~15:59:59
34 
13:00:00~13:59:59
 
33
09:00:00~09:59:59
 
33
19:00:00~19:59:59
 
32
16:00:00~16:59:59
 
31
Other values (18)
337 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row19:00:00~19:59:59
2nd row13:00:00~13:59:59
3rd row19:00:00~19:59:59
4th row23:00:00~23:59:59
5th row11:00:00~11:59:59

Common Values

ValueCountFrequency (%)
15:00:00~15:59:59 34
 
6.8%
13:00:00~13:59:59 33
 
6.6%
09:00:00~09:59:59 33
 
6.6%
19:00:00~19:59:59 32
 
6.4%
16:00:00~16:59:59 31
 
6.2%
20:00:00~20:59:59 30
 
6.0%
14:00:00~14:59:59 30
 
6.0%
11:00:00~11:59:59 28
 
5.6%
23:00:00~23:59:59 26
 
5.2%
08:00:00~08:59:59 26
 
5.2%
Other values (13) 197
39.4%

Length

2024-04-16T20:26:19.129650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
15:00:00~15:59:59 34
 
6.8%
13:00:00~13:59:59 33
 
6.6%
09:00:00~09:59:59 33
 
6.6%
19:00:00~19:59:59 32
 
6.4%
16:00:00~16:59:59 31
 
6.2%
20:00:00~20:59:59 30
 
6.0%
14:00:00~14:59:59 30
 
6.0%
11:00:00~11:59:59 28
 
5.6%
23:00:00~23:59:59 26
 
5.2%
08:00:00~08:59:59 26
 
5.2%
Other values (13) 197
39.4%

시간구분ID
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
30
255 
0
245 

Length

Max length2
Median length2
Mean length1.51
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30
2nd row0
3rd row30
4th row0
5th row30

Common Values

ValueCountFrequency (%)
30 255
51.0%
0 245
49.0%

Length

2024-04-16T20:26:19.241908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:26:19.357355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 255
51.0%
0 245
49.0%

승차총승객수
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.936
Minimum0
Maximum55
Zeros120
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-16T20:26:19.454123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile15.05
Maximum55
Range55
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.2605345
Coefficient of variation (CV)1.590583
Kurtosis18.3304
Mean3.936
Median Absolute Deviation (MAD)2
Skewness3.6888273
Sum1968
Variance39.194293
MonotonicityNot monotonic
2024-04-16T20:26:19.551115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 120
24.0%
1 99
19.8%
2 72
14.4%
3 49
9.8%
5 31
 
6.2%
4 30
 
6.0%
7 15
 
3.0%
6 14
 
2.8%
8 10
 
2.0%
9 9
 
1.8%
Other values (22) 51
10.2%
ValueCountFrequency (%)
0 120
24.0%
1 99
19.8%
2 72
14.4%
3 49
9.8%
4 30
 
6.0%
5 31
 
6.2%
6 14
 
2.8%
7 15
 
3.0%
8 10
 
2.0%
9 9
 
1.8%
ValueCountFrequency (%)
55 1
0.2%
43 1
0.2%
39 1
0.2%
38 1
0.2%
34 2
0.4%
31 1
0.2%
30 1
0.2%
29 1
0.2%
26 1
0.2%
23 1
0.2%

하차총승객수
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.086
Minimum0
Maximum59
Zeros98
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-16T20:26:19.646616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile14
Maximum59
Range59
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.3421645
Coefficient of variation (CV)1.5521695
Kurtosis21.8135
Mean4.086
Median Absolute Deviation (MAD)2
Skewness3.9577795
Sum2043
Variance40.22305
MonotonicityNot monotonic
2024-04-16T20:26:19.760659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 109
21.8%
0 98
19.6%
2 76
15.2%
3 44
8.8%
4 41
 
8.2%
5 25
 
5.0%
6 18
 
3.6%
7 14
 
2.8%
8 11
 
2.2%
9 10
 
2.0%
Other values (22) 54
10.8%
ValueCountFrequency (%)
0 98
19.6%
1 109
21.8%
2 76
15.2%
3 44
8.8%
4 41
 
8.2%
5 25
 
5.0%
6 18
 
3.6%
7 14
 
2.8%
8 11
 
2.2%
9 10
 
2.0%
ValueCountFrequency (%)
59 1
0.2%
46 1
0.2%
44 1
0.2%
38 1
0.2%
35 1
0.2%
32 1
0.2%
31 1
0.2%
29 1
0.2%
25 1
0.2%
23 2
0.4%

Interactions

2024-04-16T20:26:16.470439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:26:15.322493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:26:15.740418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:26:16.086051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:26:16.557657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:26:15.484865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:26:15.833115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:26:16.194665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:26:16.646595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:26:15.572347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:26:15.913929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:26:16.298424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:26:16.727319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:26:15.658293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:26:15.995191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:26:16.385247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-16T20:26:19.849468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선ID정류장ID승차시간구분시간구분ID승차총승객수하차총승객수
노선ID1.0000.0920.0000.0870.0000.183
정류장ID0.0921.0000.0000.0000.0000.000
승차시간구분0.0000.0001.0000.0000.0000.111
시간구분ID0.0870.0000.0001.0000.0910.015
승차총승객수0.0000.0000.0000.0911.0000.000
하차총승객수0.1830.0000.1110.0150.0001.000
2024-04-16T20:26:19.941813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
승차시간구분시간구분ID
승차시간구분1.0000.000
시간구분ID0.0001.000
2024-04-16T20:26:20.015974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선ID정류장ID승차총승객수하차총승객수승차시간구분시간구분ID
노선ID1.0000.0890.0110.0820.0000.062
정류장ID0.0891.0000.0170.0170.0000.000
승차총승객수0.0110.0171.000-0.0490.0000.089
하차총승객수0.0820.017-0.0491.0000.0410.014
승차시간구분0.0000.0000.0000.0411.0000.000
시간구분ID0.0620.0000.0890.0140.0001.000

Missing values

2024-04-16T20:26:16.838577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-16T20:26:16.968137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

운행일자노선ID노선정류장ID정류장승차시간구분시간구분ID승차총승객수하차총승객수
02014-12-01111103296411번(구로동~개포동)9009281신트리아파트19:00:00~19:59:593064
12014-08-15111105567730번(은평공영차고지~이북오도청)9001990월곡동두산아파트13:00:00~13:59:59060
22015-06-05111106772312번(중랑공영차고지~강동공영차고지)8501523경문고등학교19:00:00~19:59:5930114
32015-04-1211110899670번(온수동~디지털미디어시티역)9000198성내주유소23:00:00~23:59:590191
42015-03-1911110323240번(중랑공영차고지~신사역사거리)9001139중앙동성당앞11:00:00~11:59:593012
52014-04-14111106226411번(구로동~개포동)9010083서울금융고등학교11:00:00~11:59:593052
62014-06-1311110522구로02(개봉역~개봉중학교)9009398경희중고15:00:00~15:59:59015
72014-10-26111103507723번(기자촌~구파발역)9013818평화동물병원13:00:00~13:59:593032
82014-02-09111103547613번(갈현동~여의도)9001858장안2동주민센터19:00:00~19:59:59090
92015-01-01111106336712번(방화동~대흥사거리)9007813성수역11:00:00~11:59:593012
운행일자노선ID노선정류장ID정류장승차시간구분시간구분ID승차총승객수하차총승객수
4902014-09-09111105473322번(송파차고지~잠실종합운동장)8001944답십리2동시온교회앞12:00:00~12:59:59041
4912015-04-06111103087737번(수색은평공영차고지~파크빌아파트)8002642불광초등학교14:00:00~14:59:593001
4922014-06-01111109536516번(양천차고지~박미고개)9036936지하철7호선중화역3번출구23:00:00~23:59:593056
4932014-01-18111108450017번(청암동~이촌동)9034806청량리역환승센타09:00:00~09:59:593006
4942014-03-0811110335242번(중랑공영차고지~개포시영아파트)16457덕은교.은평차고지앞08:00:00~08:59:593002
4952015-10-08111103591127번(도봉동~도봉동)14449정부과천청사13:00:00~13:59:593001
4962014-08-26111109797720번(구산동~신촌)70063세탁소12:00:00~12:59:593000
4972014-11-04111104157738번(은평공영차고지~홍제역)9000853한전병원06:00:00~06:59:590120
4982015-05-1911110982동작02(사자암~노량진역)9009299새마을시장12:00:00~12:59:59090
4992014-04-1011110520금천11(산기슭공원~석수역)9010038봉영여중.목동고22:00:00~22:59:59001