Overview

Dataset statistics

Number of variables9
Number of observations6977
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory524.8 KiB
Average record size in memory77.0 B

Variable types

Categorical2
Text4
Numeric3

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-12912/S/1/datasetView.do

Alerts

사용일자 has constant value ""Constant
등록일자 has constant value ""Constant
승차총승객수 is highly overall correlated with 하차총승객수High correlation
하차총승객수 is highly overall correlated with 승차총승객수High correlation
승차총승객수 has 414 (5.9%) zerosZeros
하차총승객수 has 257 (3.7%) zerosZeros

Reproduction

Analysis started2024-05-11 06:04:32.073468
Analysis finished2024-05-11 06:04:34.240803
Duration2.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사용일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.6 KiB
20230601
6977 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20230601
2nd row20230601
3rd row20230601
4th row20230601
5th row20230601

Common Values

ValueCountFrequency (%)
20230601 6977
100.0%

Length

2024-05-11T15:04:34.309619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:04:34.427544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20230601 6977
100.0%

노선번호
Text

Distinct91
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size54.6 KiB
2024-05-11T15:04:34.729832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.6134442
Min length3

Characters and Unicode

Total characters25211
Distinct characters25
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row100
2nd row9409
3rd row9409
4th row9409
5th row9409
ValueCountFrequency (%)
n26 253
 
3.6%
n37 210
 
3.0%
542 138
 
2.0%
9701 127
 
1.8%
441 125
 
1.8%
661 125
 
1.8%
541 123
 
1.8%
9403 121
 
1.7%
5623 119
 
1.7%
703 118
 
1.7%
Other values (81) 5518
79.1%
2024-05-11T15:04:35.157866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 3847
15.3%
5 3256
12.9%
1 3035
12.0%
0 3021
12.0%
6 2409
9.6%
4 2330
9.2%
2 2150
8.5%
3 2143
8.5%
9 895
 
3.6%
8 643
 
2.6%
Other values (15) 1482
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23729
94.1%
Uppercase Letter 797
 
3.2%
Other Letter 669
 
2.7%
Dash Punctuation 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 120
17.9%
동 111
16.6%
서 61
9.1%
대 61
9.1%
문 61
9.1%
노 54
8.1%
원 54
8.1%
남 43
 
6.4%
은 35
 
5.2%
평 35
 
5.2%
Decimal Number
ValueCountFrequency (%)
7 3847
16.2%
5 3256
13.7%
1 3035
12.8%
0 3021
12.7%
6 2409
10.2%
4 2330
9.8%
2 2150
9.1%
3 2143
9.0%
9 895
 
3.8%
8 643
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
N 578
72.5%
B 148
 
18.6%
A 71
 
8.9%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23745
94.2%
Latin 797
 
3.2%
Hangul 669
 
2.7%

Most frequent character per script

Common
ValueCountFrequency (%)
7 3847
16.2%
5 3256
13.7%
1 3035
12.8%
0 3021
12.7%
6 2409
10.1%
4 2330
9.8%
2 2150
9.1%
3 2143
9.0%
9 895
 
3.8%
8 643
 
2.7%
Hangul
ValueCountFrequency (%)
강 120
17.9%
동 111
16.6%
서 61
9.1%
대 61
9.1%
문 61
9.1%
노 54
8.1%
원 54
8.1%
남 43
 
6.4%
은 35
 
5.2%
평 35
 
5.2%
Latin
ValueCountFrequency (%)
N 578
72.5%
B 148
 
18.6%
A 71
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24542
97.3%
Hangul 669
 
2.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 3847
15.7%
5 3256
13.3%
1 3035
12.4%
0 3021
12.3%
6 2409
9.8%
4 2330
9.5%
2 2150
8.8%
3 2143
8.7%
9 895
 
3.6%
8 643
 
2.6%
Other values (4) 813
 
3.3%
Hangul
ValueCountFrequency (%)
강 120
17.9%
동 111
16.6%
서 61
9.1%
대 61
9.1%
문 61
9.1%
노 54
8.1%
원 54
8.1%
남 43
 
6.4%
은 35
 
5.2%
평 35
 
5.2%

노선명
Text

Distinct96
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size54.6 KiB
2024-05-11T15:04:35.489648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length25
Mean length17.477569
Min length12

Characters and Unicode

Total characters121941
Distinct characters200
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row100번(하계동~용산구청)
2nd row9409번(구미동차고지~신사역)
3rd row9409번(구미동차고지~신사역)
4th row9409번(구미동차고지~신사역)
5th row9409번(구미동차고지~신사역)
ValueCountFrequency (%)
542번(군포버스공영차고지~신사역 138
 
1.9%
n26번(중랑공영차고지~강서공영차고지 127
 
1.8%
9701번(가좌동~서울역 127
 
1.8%
n26번(강서공영차고지~중랑공영차고지 126
 
1.7%
661번(부천상동~영등포역,신세계백화점 125
 
1.7%
441번(월암공영차고지~신사사거리 125
 
1.7%
541번(군포공영차고지~강남역 123
 
1.7%
9403번(구미동차고지~중곡역 121
 
1.7%
5623번(군포 119
 
1.6%
공영차고지~여의도 119
 
1.6%
Other values (89) 6002
82.8%
2024-05-11T15:04:36.134718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 7044
 
5.8%
) 7044
 
5.8%
~ 6977
 
5.7%
번 6585
 
5.4%
지 4110
 
3.4%
동 4109
 
3.4%
고 4055
 
3.3%
7 3890
 
3.2%
차 3711
 
3.0%
5 3256
 
2.7%
Other values (190) 71160
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75056
61.6%
Decimal Number 24012
 
19.7%
Open Punctuation 7044
 
5.8%
Close Punctuation 7044
 
5.8%
Math Symbol 6977
 
5.7%
Uppercase Letter 859
 
0.7%
Other Punctuation 658
 
0.5%
Space Separator 275
 
0.2%
Dash Punctuation 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
번 6585
 
8.8%
지 4110
 
5.5%
동 4109
 
5.5%
고 4055
 
5.4%
차 3711
 
4.9%
역 3240
 
4.3%
영 3033
 
4.0%
공 2731
 
3.6%
서 1807
 
2.4%
대 1665
 
2.2%
Other values (168) 40010
53.3%
Decimal Number
ValueCountFrequency (%)
7 3890
16.2%
5 3256
13.6%
1 3232
13.5%
0 3021
12.6%
6 2409
10.0%
4 2373
9.9%
2 2150
9.0%
3 2143
8.9%
9 895
 
3.7%
8 643
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
N 593
69.0%
B 148
 
17.2%
A 87
 
10.1%
K 16
 
1.9%
C 15
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 411
62.5%
. 247
37.5%
Open Punctuation
ValueCountFrequency (%)
( 7044
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7044
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6977
100.0%
Space Separator
ValueCountFrequency (%)
275
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75056
61.6%
Common 46026
37.7%
Latin 859
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
번 6585
 
8.8%
지 4110
 
5.5%
동 4109
 
5.5%
고 4055
 
5.4%
차 3711
 
4.9%
역 3240
 
4.3%
영 3033
 
4.0%
공 2731
 
3.6%
서 1807
 
2.4%
대 1665
 
2.2%
Other values (168) 40010
53.3%
Common
ValueCountFrequency (%)
( 7044
15.3%
) 7044
15.3%
~ 6977
15.2%
7 3890
8.5%
5 3256
7.1%
1 3232
7.0%
0 3021
6.6%
6 2409
 
5.2%
4 2373
 
5.2%
2 2150
 
4.7%
Other values (7) 4630
10.1%
Latin
ValueCountFrequency (%)
N 593
69.0%
B 148
 
17.2%
A 87
 
10.1%
K 16
 
1.9%
C 15
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75056
61.6%
ASCII 46885
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 7044
15.0%
) 7044
15.0%
~ 6977
14.9%
7 3890
8.3%
5 3256
6.9%
1 3232
6.9%
0 3021
6.4%
6 2409
 
5.1%
4 2373
 
5.1%
2 2150
 
4.6%
Other values (12) 5489
11.7%
Hangul
ValueCountFrequency (%)
번 6585
 
8.8%
지 4110
 
5.5%
동 4109
 
5.5%
고 4055
 
5.4%
차 3711
 
4.9%
역 3240
 
4.3%
영 3033
 
4.0%
공 2731
 
3.6%
서 1807
 
2.4%
대 1665
 
2.2%
Other values (168) 40010
53.3%

표준버스정류장ID
Real number (ℝ)

Distinct3795
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5191691 × 108
Minimum1 × 108
Maximum9.998 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.5 KiB
2024-05-11T15:04:36.372912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1 × 108
5-th percentile1.02 × 108
Q11.1200013 × 108
median1.1990022 × 108
Q32.1000034 × 108
95-th percentile2.2200154 × 108
Maximum9.998 × 108
Range8.998 × 108
Interquartile range (IQR)98000213

Descriptive statistics

Standard deviation65239516
Coefficient of variation (CV)0.42944209
Kurtosis70.459895
Mean1.5191691 × 108
Median Absolute Deviation (MAD)9900125
Skewness5.8231862
Sum1.0599243 × 1012
Variance4.2561945 × 1015
MonotonicityNot monotonic
2024-05-11T15:04:36.648733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121000005 11
 
0.2%
121000007 11
 
0.2%
112000404 10
 
0.1%
112000407 10
 
0.1%
121000009 10
 
0.1%
121000008 10
 
0.1%
121000006 10
 
0.1%
112000408 10
 
0.1%
112000409 10
 
0.1%
112000402 10
 
0.1%
Other values (3785) 6875
98.5%
ValueCountFrequency (%)
100000001 2
< 0.1%
100000002 2
< 0.1%
100000003 2
< 0.1%
100000004 2
< 0.1%
100000005 1
< 0.1%
100000006 1
< 0.1%
100000007 1
< 0.1%
100000008 1
< 0.1%
100000015 1
< 0.1%
100000016 1
< 0.1%
ValueCountFrequency (%)
999800005 2
< 0.1%
999800004 1
 
< 0.1%
999800003 1
 
< 0.1%
999033574 4
0.1%
998502944 1
 
< 0.1%
998502907 1
 
< 0.1%
998501980 2
< 0.1%
998501932 1
 
< 0.1%
998501931 1
 
< 0.1%
998001700 2
< 0.1%

버스정류장ARS번호
Text

Distinct3759
Distinct (%)53.9%
Missing0
Missing (%)0.0%
Memory size54.6 KiB
2024-05-11T15:04:37.237459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.9896804
Min length1

Characters and Unicode

Total characters34813
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2214 ?
Unique (%)31.7%

Sample

1st row01002
2nd row07553
3rd row07500
4th row07499
5th row07498
ValueCountFrequency (%)
18
 
0.3%
22007 11
 
0.2%
22005 11
 
0.2%
13029 10
 
0.1%
13030 10
 
0.1%
13033 10
 
0.1%
13034 10
 
0.1%
13035 10
 
0.1%
13032 10
 
0.1%
13031 10
 
0.1%
Other values (3749) 6867
98.4%
2024-05-11T15:04:38.046729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 7094
20.4%
0 5792
16.6%
2 4816
13.8%
3 3969
11.4%
4 2703
 
7.8%
6 2608
 
7.5%
5 2383
 
6.8%
7 2033
 
5.8%
8 1950
 
5.6%
9 1447
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34795
99.9%
Math Symbol 18
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 7094
20.4%
0 5792
16.6%
2 4816
13.8%
3 3969
11.4%
4 2703
 
7.8%
6 2608
 
7.5%
5 2383
 
6.8%
7 2033
 
5.8%
8 1950
 
5.6%
9 1447
 
4.2%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34813
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 7094
20.4%
0 5792
16.6%
2 4816
13.8%
3 3969
11.4%
4 2703
 
7.8%
6 2608
 
7.5%
5 2383
 
6.8%
7 2033
 
5.8%
8 1950
 
5.6%
9 1447
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34813
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 7094
20.4%
0 5792
16.6%
2 4816
13.8%
3 3969
11.4%
4 2703
 
7.8%
6 2608
 
7.5%
5 2383
 
6.8%
7 2033
 
5.8%
8 1950
 
5.6%
9 1447
 
4.2%

역명
Text

Distinct6590
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size54.6 KiB
2024-05-11T15:04:38.428173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length15.040705
Min length9

Characters and Unicode

Total characters104939
Distinct characters540
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6287 ?
Unique (%)90.1%

Sample

1st row창경궁.서울대학교병원(00031)
2nd row성남시운중도서관(00015)
3rd row화랑공원남편(00066)
4th row금토천교(00064)
5th row삼평교(00063)
ValueCountFrequency (%)
광명차고지(00001 7
 
0.1%
하안버스공영차고지(00002 7
 
0.1%
등촌중학교 6
 
0.1%
군포공영차고지(00001 5
 
0.1%
군포보건소(00002 5
 
0.1%
덕은교.은평차고지앞(00002 5
 
0.1%
은평공영차고지(00001 5
 
0.1%
대우.롯데아파트상가(00008 4
 
0.1%
미금초등학교(00007 4
 
0.1%
헬스케어혁신파크.(구)가스공사(00010 4
 
0.1%
Other values (6581) 6931
99.3%
2024-05-11T15:04:39.003930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22179
21.1%
( 7251
 
6.9%
) 7251
 
6.9%
1 2608
 
2.5%
. 2267
 
2.2%
2 1871
 
1.8%
3 1714
 
1.6%
4 1589
 
1.5%
5 1505
 
1.4%
6 1415
 
1.3%
Other values (530) 55289
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51103
48.7%
Decimal Number 36426
34.7%
Open Punctuation 7251
 
6.9%
Close Punctuation 7251
 
6.9%
Other Punctuation 2277
 
2.2%
Uppercase Letter 601
 
0.6%
Lowercase Letter 22
 
< 0.1%
Space Separator 6
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1353
 
2.6%
역 1344
 
2.6%
교 1287
 
2.5%
지 1118
 
2.2%
구 1038
 
2.0%
파 987
 
1.9%
트 944
 
1.8%
아 943
 
1.8%
학 902
 
1.8%
서 842
 
1.6%
Other values (488) 40345
78.9%
Uppercase Letter
ValueCountFrequency (%)
C 101
16.8%
K 80
13.3%
M 77
12.8%
T 74
12.3%
D 71
11.8%
G 37
 
6.2%
L 35
 
5.8%
S 28
 
4.7%
B 24
 
4.0%
N 14
 
2.3%
Other values (11) 60
10.0%
Decimal Number
ValueCountFrequency (%)
0 22179
60.9%
1 2608
 
7.2%
2 1871
 
5.1%
3 1714
 
4.7%
4 1589
 
4.4%
5 1505
 
4.1%
6 1415
 
3.9%
7 1314
 
3.6%
8 1166
 
3.2%
9 1065
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 2267
99.6%
& 7
 
0.3%
, 2
 
0.1%
? 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 20
90.9%
t 1
 
4.5%
k 1
 
4.5%
Open Punctuation
ValueCountFrequency (%)
( 7251
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7251
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53213
50.7%
Hangul 51103
48.7%
Latin 623
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1353
 
2.6%
역 1344
 
2.6%
교 1287
 
2.5%
지 1118
 
2.2%
구 1038
 
2.0%
파 987
 
1.9%
트 944
 
1.8%
아 943
 
1.8%
학 902
 
1.8%
서 842
 
1.6%
Other values (488) 40345
78.9%
Latin
ValueCountFrequency (%)
C 101
16.2%
K 80
12.8%
M 77
12.4%
T 74
11.9%
D 71
11.4%
G 37
 
5.9%
L 35
 
5.6%
S 28
 
4.5%
B 24
 
3.9%
e 20
 
3.2%
Other values (14) 76
12.2%
Common
ValueCountFrequency (%)
0 22179
41.7%
( 7251
 
13.6%
) 7251
 
13.6%
1 2608
 
4.9%
. 2267
 
4.3%
2 1871
 
3.5%
3 1714
 
3.2%
4 1589
 
3.0%
5 1505
 
2.8%
6 1415
 
2.7%
Other values (8) 3563
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53836
51.3%
Hangul 51103
48.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22179
41.2%
( 7251
 
13.5%
) 7251
 
13.5%
1 2608
 
4.8%
. 2267
 
4.2%
2 1871
 
3.5%
3 1714
 
3.2%
4 1589
 
3.0%
5 1505
 
2.8%
6 1415
 
2.6%
Other values (32) 4186
 
7.8%
Hangul
ValueCountFrequency (%)
동 1353
 
2.6%
역 1344
 
2.6%
교 1287
 
2.5%
지 1118
 
2.2%
구 1038
 
2.0%
파 987
 
1.9%
트 944
 
1.8%
아 943
 
1.8%
학 902
 
1.8%
서 842
 
1.6%
Other values (488) 40345
78.9%

승차총승객수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct599
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.64541
Minimum0
Maximum2132
Zeros414
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size61.5 KiB
2024-05-11T15:04:39.254959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median57
Q3146
95-th percentile369
Maximum2132
Range2132
Interquartile range (IQR)135

Descriptive statistics

Standard deviation147.50648
Coefficient of variation (CV)1.3962413
Kurtosis21.12953
Mean105.64541
Median Absolute Deviation (MAD)52
Skewness3.4911133
Sum737088
Variance21758.161
MonotonicityNot monotonic
2024-05-11T15:04:39.464685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 414
 
5.9%
1 264
 
3.8%
2 203
 
2.9%
3 157
 
2.3%
4 150
 
2.1%
5 130
 
1.9%
6 102
 
1.5%
8 88
 
1.3%
7 78
 
1.1%
12 76
 
1.1%
Other values (589) 5315
76.2%
ValueCountFrequency (%)
0 414
5.9%
1 264
3.8%
2 203
2.9%
3 157
 
2.3%
4 150
 
2.1%
5 130
 
1.9%
6 102
 
1.5%
7 78
 
1.1%
8 88
 
1.3%
9 73
 
1.0%
ValueCountFrequency (%)
2132 1
< 0.1%
1608 1
< 0.1%
1601 1
< 0.1%
1552 1
< 0.1%
1415 1
< 0.1%
1395 1
< 0.1%
1297 1
< 0.1%
1290 1
< 0.1%
1280 1
< 0.1%
1275 1
< 0.1%

하차총승객수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct574
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.4684
Minimum0
Maximum2072
Zeros257
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size61.5 KiB
2024-05-11T15:04:39.689934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q113
median57
Q3140
95-th percentile353
Maximum2072
Range2072
Interquartile range (IQR)127

Descriptive statistics

Standard deviation140.85024
Coefficient of variation (CV)1.3612876
Kurtosis24.725008
Mean103.4684
Median Absolute Deviation (MAD)51
Skewness3.6674836
Sum721899
Variance19838.791
MonotonicityNot monotonic
2024-05-11T15:04:39.894598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 260
 
3.7%
0 257
 
3.7%
2 181
 
2.6%
3 175
 
2.5%
4 157
 
2.3%
5 120
 
1.7%
6 117
 
1.7%
7 98
 
1.4%
8 87
 
1.2%
9 87
 
1.2%
Other values (564) 5438
77.9%
ValueCountFrequency (%)
0 257
3.7%
1 260
3.7%
2 181
2.6%
3 175
2.5%
4 157
2.3%
5 120
1.7%
6 117
1.7%
7 98
 
1.4%
8 87
 
1.2%
9 87
 
1.2%
ValueCountFrequency (%)
2072 1
< 0.1%
1813 1
< 0.1%
1717 1
< 0.1%
1576 1
< 0.1%
1483 1
< 0.1%
1481 1
< 0.1%
1443 1
< 0.1%
1157 1
< 0.1%
1150 1
< 0.1%
1139 1
< 0.1%

등록일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.6 KiB
20230604
6977 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20230604
2nd row20230604
3rd row20230604
4th row20230604
5th row20230604

Common Values

ValueCountFrequency (%)
20230604 6977
100.0%

Length

2024-05-11T15:04:40.133752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:04:40.302764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20230604 6977
100.0%

Interactions

2024-05-11T15:04:33.462175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:32.853244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:33.160247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:33.831506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:32.941477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:33.276387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:33.919809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:33.045241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:04:33.374591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T15:04:40.408722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선번호노선명표준버스정류장ID승차총승객수하차총승객수
노선번호1.0001.0000.7030.4370.408
노선명1.0001.0000.7150.4330.402
표준버스정류장ID0.7030.7151.0000.1960.162
승차총승객수0.4370.4330.1961.0000.669
하차총승객수0.4080.4020.1620.6691.000
2024-05-11T15:04:40.578706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
표준버스정류장ID승차총승객수하차총승객수
표준버스정류장ID1.000-0.122-0.111
승차총승객수-0.1221.0000.565
하차총승객수-0.1110.5651.000

Missing values

2024-05-11T15:04:34.040365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T15:04:34.176006image/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

사용일자노선번호노선명표준버스정류장ID버스정류장ARS번호역명승차총승객수하차총승객수등록일자
020230601100100번(하계동~용산구청)10000000201002창경궁.서울대학교병원(00031)12515120230604
12023060194099409번(구미동차고지~신사역)20600055207553성남시운중도서관(00015)2620230604
22023060194099409번(구미동차고지~신사역)20600054407500화랑공원남편(00066)12020230604
32023060194099409번(구미동차고지~신사역)20600054307499금토천교(00064)42720230604
42023060194099409번(구미동차고지~신사역)20600054207498삼평교(00063)14220230604
52023060194099409번(구미동차고지~신사역)20600054007496삼평교(00026)51420230604
62023060194099409번(구미동차고지~신사역)20600053907495금토천교(00025)61320230604
72023060194099409번(구미동차고지~신사역)20600053807494화랑공원남편(00023)0220230604
82023060194099409번(구미동차고지~신사역)20600049807476구미동차고지앞(00001)1020230604
92023060194099409번(구미동차고지~신사역)20600047207821힐스테이트판교엘포레6단지(00009)7220230604
사용일자노선번호노선명표준버스정류장ID버스정류장ARS번호역명승차총승객수하차총승객수등록일자
696720230601N15N15번(우이동성원아파트~남태령역)10000039401019종로5가.광장시장(00115)7120230604
696820230601노원14노원14(청백1단지아파트~세그루학원)11000019711297쌍용스윗닷홈아파트(00010)298320230604
696920230601노원14노원14(청백1단지아파트~세그루학원)11000019811298신창중학교후문(00008)423020230604
697020230601N15N15번(우이동성원아파트~남태령역)10000039501020종로5가.광장시장(00035)2320230604
697120230601노원14노원14(청백1단지아파트~세그루학원)11000019911299신창중학교후문(00059)235120230604
697220230601노원14노원14(청백1단지아파트~세그루학원)11000020011300염광고등학교(00007)4112320230604
69732023060123112311번(중랑차고지~문정동)10400001805111용마사거리(00035)1337520230604
697420230601N15N15번(우이동성원아파트~남태령역)10000039601021종로6가.동대문종합시장(00116)8520230604
697520230601노원14노원14(청백1단지아파트~세그루학원)11000020111301염광고등학교(00060)1335920230604
697620230601노원14노원14(청백1단지아파트~세그루학원)11000020211302월계주공1단지상가(00061)11513720230604