Overview

Dataset statistics

Number of variables9
Number of observations6753
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory507.9 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 431 (6.4%) zerosZeros
하차총승객수 has 277 (4.1%) zerosZeros

Reproduction

Analysis started2024-05-04 04:37:07.635506
Analysis finished2024-05-04 04:37:14.188667
Duration6.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사용일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.9 KiB
20230801
6753 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20230801
2nd row20230801
3rd row20230801
4th row20230801
5th row20230801

Common Values

ValueCountFrequency (%)
20230801 6753
100.0%

Length

2024-05-04T04:37:14.519721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:37:15.074453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20230801 6753
100.0%

노선번호
Text

Distinct83
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size52.9 KiB
2024-05-04T04:37:15.670359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.5930697
Min length3

Characters and Unicode

Total characters24264
Distinct characters17
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 row9401-1
3rd row9401-1
4th row9401-1
5th row9401-1
ValueCountFrequency (%)
n26 256
 
3.8%
n37 206
 
3.1%
542 138
 
2.0%
9701 127
 
1.9%
661 125
 
1.9%
441 124
 
1.8%
541 123
 
1.8%
9403 121
 
1.8%
5623 120
 
1.8%
703 118
 
1.7%
Other values (73) 5295
78.4%
2024-05-04T04:37:17.005697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 3816
15.7%
5 3112
12.8%
0 3033
12.5%
1 2755
11.4%
4 2370
9.8%
6 2290
9.4%
2 2273
9.4%
3 2192
9.0%
9 858
 
3.5%
8 714
 
2.9%
Other values (7) 851
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23413
96.5%
Uppercase Letter 680
 
2.8%
Other Letter 156
 
0.6%
Dash Punctuation 15
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 3816
16.3%
5 3112
13.3%
0 3033
13.0%
1 2755
11.8%
4 2370
10.1%
6 2290
9.8%
2 2273
9.7%
3 2192
9.4%
9 858
 
3.7%
8 714
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
N 462
67.9%
B 147
 
21.6%
A 71
 
10.4%
Other Letter
ValueCountFrequency (%)
동 78
50.0%
강 77
49.4%
작 1
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23428
96.6%
Latin 680
 
2.8%
Hangul 156
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
7 3816
16.3%
5 3112
13.3%
0 3033
12.9%
1 2755
11.8%
4 2370
10.1%
6 2290
9.8%
2 2273
9.7%
3 2192
9.4%
9 858
 
3.7%
8 714
 
3.0%
Latin
ValueCountFrequency (%)
N 462
67.9%
B 147
 
21.6%
A 71
 
10.4%
Hangul
ValueCountFrequency (%)
동 78
50.0%
강 77
49.4%
작 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24108
99.4%
Hangul 156
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 3816
15.8%
5 3112
12.9%
0 3033
12.6%
1 2755
11.4%
4 2370
9.8%
6 2290
9.5%
2 2273
9.4%
3 2192
9.1%
9 858
 
3.6%
8 714
 
3.0%
Other values (4) 695
 
2.9%
Hangul
ValueCountFrequency (%)
동 78
50.0%
강 77
49.4%
작 1
 
0.6%

노선명
Text

Distinct87
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size52.9 KiB
2024-05-04T04:37:17.822201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length22
Mean length17.251592
Min length12

Characters and Unicode

Total characters116500
Distinct characters177
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 row9401-1번(이매촌한신.서현역.AK프라자~순천향대학병원)
3rd row9401-1번(이매촌한신.서현역.AK프라자~순천향대학병원)
4th row9401-1번(이매촌한신.서현역.AK프라자~순천향대학병원)
5th row9401-1번(이매촌한신.서현역.AK프라자~순천향대학병원)
ValueCountFrequency (%)
542번(군포버스공영차고지~신사역 138
 
2.0%
n26번(강서공영차고지~중랑공영차고지 129
 
1.8%
n26번(중랑공영차고지~강서공영차고지 127
 
1.8%
9701번(가좌동~서울역 127
 
1.8%
661번(부천상동~영등포역,신세계백화점 125
 
1.8%
441번(월암공영차고지~신사사거리 124
 
1.8%
541번(군포공영차고지~강남역 123
 
1.8%
9403번(구미동차고지~중곡역 121
 
1.7%
5623번(군포 120
 
1.7%
공영차고지~여의도 120
 
1.7%
Other values (80) 5774
82.2%
2024-05-04T04:37:19.306455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 6905
 
5.9%
) 6905
 
5.9%
~ 6753
 
5.8%
번 6550
 
5.6%
동 4263
 
3.7%
고 3981
 
3.4%
지 3900
 
3.3%
7 3816
 
3.3%
차 3634
 
3.1%
5 3112
 
2.7%
Other values (167) 66681
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70741
60.7%
Decimal Number 23566
 
20.2%
Open Punctuation 6905
 
5.9%
Close Punctuation 6905
 
5.9%
Math Symbol 6753
 
5.8%
Uppercase Letter 710
 
0.6%
Other Punctuation 630
 
0.5%
Space Separator 275
 
0.2%
Dash Punctuation 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
번 6550
 
9.3%
동 4263
 
6.0%
고 3981
 
5.6%
지 3900
 
5.5%
차 3634
 
5.1%
영 2997
 
4.2%
역 2963
 
4.2%
공 2668
 
3.8%
서 1803
 
2.5%
대 1715
 
2.4%
Other values (146) 36267
51.3%
Decimal Number
ValueCountFrequency (%)
7 3816
16.2%
5 3112
13.2%
0 3033
12.9%
1 2898
12.3%
4 2380
10.1%
6 2290
9.7%
2 2273
9.6%
3 2192
9.3%
9 858
 
3.6%
8 714
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
N 462
65.1%
B 147
 
20.7%
A 86
 
12.1%
K 15
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 411
65.2%
. 219
34.8%
Open Punctuation
ValueCountFrequency (%)
( 6905
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6905
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6753
100.0%
Space Separator
ValueCountFrequency (%)
275
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70741
60.7%
Common 45049
38.7%
Latin 710
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
번 6550
 
9.3%
동 4263
 
6.0%
고 3981
 
5.6%
지 3900
 
5.5%
차 3634
 
5.1%
영 2997
 
4.2%
역 2963
 
4.2%
공 2668
 
3.8%
서 1803
 
2.5%
대 1715
 
2.4%
Other values (146) 36267
51.3%
Common
ValueCountFrequency (%)
( 6905
15.3%
) 6905
15.3%
~ 6753
15.0%
7 3816
8.5%
5 3112
6.9%
0 3033
6.7%
1 2898
6.4%
4 2380
 
5.3%
6 2290
 
5.1%
2 2273
 
5.0%
Other values (7) 4684
10.4%
Latin
ValueCountFrequency (%)
N 462
65.1%
B 147
 
20.7%
A 86
 
12.1%
K 15
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70741
60.7%
ASCII 45759
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 6905
15.1%
) 6905
15.1%
~ 6753
14.8%
7 3816
8.3%
5 3112
6.8%
0 3033
6.6%
1 2898
6.3%
4 2380
 
5.2%
6 2290
 
5.0%
2 2273
 
5.0%
Other values (11) 5394
11.8%
Hangul
ValueCountFrequency (%)
번 6550
 
9.3%
동 4263
 
6.0%
고 3981
 
5.6%
지 3900
 
5.5%
차 3634
 
5.1%
영 2997
 
4.2%
역 2963
 
4.2%
공 2668
 
3.8%
서 1803
 
2.5%
대 1715
 
2.4%
Other values (146) 36267
51.3%

표준버스정류장ID
Real number (ℝ)

Distinct3582
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5334717 × 108
Minimum1 × 108
Maximum9.998 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size59.5 KiB
2024-05-04T04:37:20.000104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1 × 108
5-th percentile1.02 × 108
Q11.120004 × 108
median1.2000005 × 108
Q32.1000035 × 108
95-th percentile2.2200178 × 108
Maximum9.998 × 108
Range8.998 × 108
Interquartile range (IQR)97999954

Descriptive statistics

Standard deviation67386793
Coefficient of variation (CV)0.43943943
Kurtosis70.545033
Mean1.5334717 × 108
Median Absolute Deviation (MAD)9999998
Skewness5.9877728
Sum1.0355534 × 1012
Variance4.5409799 × 1015
MonotonicityNot monotonic
2024-05-04T04:37:20.627406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121000005 11
 
0.2%
121000007 11
 
0.2%
117000003 11
 
0.2%
112000404 10
 
0.1%
121000008 10
 
0.1%
100000380 10
 
0.1%
112000398 10
 
0.1%
112000400 10
 
0.1%
112000401 10
 
0.1%
112000402 10
 
0.1%
Other values (3572) 6650
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%
998502269 1
 
< 0.1%
998501980 2
< 0.1%
998501977 1
 
< 0.1%
998501932 1
 
< 0.1%
998501931 2
< 0.1%

버스정류장ARS번호
Text

Distinct3549
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size52.9 KiB
2024-05-04T04:37:21.785667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.9881534
Min length1

Characters and Unicode

Total characters33685
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

Unique2003 ?
Unique (%)29.7%

Sample

1st row01002
2nd row07616
3rd row47105
4th row47635
5th row47634
ValueCountFrequency (%)
20
 
0.3%
22007 11
 
0.2%
22005 11
 
0.2%
18003 11
 
0.2%
18004 10
 
0.1%
22009 10
 
0.1%
13030 10
 
0.1%
13040 10
 
0.1%
13029 10
 
0.1%
13028 10
 
0.1%
Other values (3539) 6640
98.3%
2024-05-04T04:37:23.518401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6752
20.0%
0 5703
16.9%
2 4695
13.9%
3 3790
11.3%
4 2692
 
8.0%
6 2520
 
7.5%
5 2262
 
6.7%
7 2016
 
6.0%
8 1838
 
5.5%
9 1397
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33665
99.9%
Math Symbol 20
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6752
20.1%
0 5703
16.9%
2 4695
13.9%
3 3790
11.3%
4 2692
 
8.0%
6 2520
 
7.5%
5 2262
 
6.7%
7 2016
 
6.0%
8 1838
 
5.5%
9 1397
 
4.1%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33685
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6752
20.0%
0 5703
16.9%
2 4695
13.9%
3 3790
11.3%
4 2692
 
8.0%
6 2520
 
7.5%
5 2262
 
6.7%
7 2016
 
6.0%
8 1838
 
5.5%
9 1397
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33685
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6752
20.0%
0 5703
16.9%
2 4695
13.9%
3 3790
11.3%
4 2692
 
8.0%
6 2520
 
7.5%
5 2262
 
6.7%
7 2016
 
6.0%
8 1838
 
5.5%
9 1397
 
4.1%

역명
Text

Distinct6351
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size52.9 KiB
2024-05-04T04:37:24.270223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length15.080853
Min length9

Characters and Unicode

Total characters101841
Distinct characters536
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

Unique6035 ?
Unique (%)89.4%

Sample

1st row창경궁.서울대학교병원(00031)
2nd row이매촌한신.서현역.AK프라자(00021)
3rd row이매촌한신.서현역.AK프라자(00004)
4th row백현마을3단지(00020)
5th row백현마을4단지(00019)
ValueCountFrequency (%)
광명차고지(00001 6
 
0.1%
군포공영차고지(00001 6
 
0.1%
등촌중학교 6
 
0.1%
하안버스공영차고지(00002 6
 
0.1%
은평공영차고지(00001 5
 
0.1%
덕은교.은평차고지앞(00002 5
 
0.1%
군포보건소(00002 5
 
0.1%
수색교(00003 4
 
0.1%
미금초등학교(00007 4
 
0.1%
주공4단지(00004 4
 
0.1%
Other values (6342) 6708
99.2%
2024-05-04T04:37:25.709531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21457
 
21.1%
( 7019
 
6.9%
) 7019
 
6.9%
1 2422
 
2.4%
. 2256
 
2.2%
2 1777
 
1.7%
3 1649
 
1.6%
4 1547
 
1.5%
5 1474
 
1.4%
6 1387
 
1.4%
Other values (526) 53834
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49721
48.8%
Decimal Number 35201
34.6%
Open Punctuation 7019
 
6.9%
Close Punctuation 7019
 
6.9%
Other Punctuation 2265
 
2.2%
Uppercase Letter 587
 
0.6%
Lowercase Letter 21
 
< 0.1%
Space Separator 6
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 1330
 
2.7%
동 1265
 
2.5%
교 1264
 
2.5%
지 1075
 
2.2%
구 998
 
2.0%
파 938
 
1.9%
트 891
 
1.8%
아 887
 
1.8%
학 884
 
1.8%
대 847
 
1.7%
Other values (484) 39342
79.1%
Uppercase Letter
ValueCountFrequency (%)
C 100
17.0%
M 77
13.1%
K 73
12.4%
D 71
12.1%
T 69
11.8%
G 38
 
6.5%
L 37
 
6.3%
S 26
 
4.4%
B 24
 
4.1%
N 13
 
2.2%
Other values (11) 59
10.1%
Decimal Number
ValueCountFrequency (%)
0 21457
61.0%
1 2422
 
6.9%
2 1777
 
5.0%
3 1649
 
4.7%
4 1547
 
4.4%
5 1474
 
4.2%
6 1387
 
3.9%
7 1293
 
3.7%
8 1150
 
3.3%
9 1045
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 2256
99.6%
& 6
 
0.3%
, 2
 
0.1%
? 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 19
90.5%
k 1
 
4.8%
t 1
 
4.8%
Open Punctuation
ValueCountFrequency (%)
( 7019
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7019
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51512
50.6%
Hangul 49721
48.8%
Latin 608
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 1330
 
2.7%
동 1265
 
2.5%
교 1264
 
2.5%
지 1075
 
2.2%
구 998
 
2.0%
파 938
 
1.9%
트 891
 
1.8%
아 887
 
1.8%
학 884
 
1.8%
대 847
 
1.7%
Other values (484) 39342
79.1%
Latin
ValueCountFrequency (%)
C 100
16.4%
M 77
12.7%
K 73
12.0%
D 71
11.7%
T 69
11.3%
G 38
 
6.2%
L 37
 
6.1%
S 26
 
4.3%
B 24
 
3.9%
e 19
 
3.1%
Other values (14) 74
12.2%
Common
ValueCountFrequency (%)
0 21457
41.7%
( 7019
 
13.6%
) 7019
 
13.6%
1 2422
 
4.7%
. 2256
 
4.4%
2 1777
 
3.4%
3 1649
 
3.2%
4 1547
 
3.0%
5 1474
 
2.9%
6 1387
 
2.7%
Other values (8) 3505
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52120
51.2%
Hangul 49721
48.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21457
41.2%
( 7019
 
13.5%
) 7019
 
13.5%
1 2422
 
4.6%
. 2256
 
4.3%
2 1777
 
3.4%
3 1649
 
3.2%
4 1547
 
3.0%
5 1474
 
2.8%
6 1387
 
2.7%
Other values (32) 4113
 
7.9%
Hangul
ValueCountFrequency (%)
역 1330
 
2.7%
동 1265
 
2.5%
교 1264
 
2.5%
지 1075
 
2.2%
구 998
 
2.0%
파 938
 
1.9%
트 891
 
1.8%
아 887
 
1.8%
학 884
 
1.8%
대 847
 
1.7%
Other values (484) 39342
79.1%

승차총승객수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct565
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.135051
Minimum0
Maximum1429
Zeros431
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size59.5 KiB
2024-05-04T04:37:26.655956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median52
Q3136
95-th percentile345
Maximum1429
Range1429
Interquartile range (IQR)126

Descriptive statistics

Standard deviation131.84771
Coefficient of variation (CV)1.3435333
Kurtosis14.133751
Mean98.135051
Median Absolute Deviation (MAD)48
Skewness2.9805422
Sum662706
Variance17383.817
MonotonicityNot monotonic
2024-05-04T04:37:27.327618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 431
 
6.4%
1 251
 
3.7%
2 187
 
2.8%
3 160
 
2.4%
4 141
 
2.1%
5 101
 
1.5%
6 99
 
1.5%
7 91
 
1.3%
9 86
 
1.3%
10 77
 
1.1%
Other values (555) 5129
76.0%
ValueCountFrequency (%)
0 431
6.4%
1 251
3.7%
2 187
2.8%
3 160
 
2.4%
4 141
 
2.1%
5 101
 
1.5%
6 99
 
1.5%
7 91
 
1.3%
8 65
 
1.0%
9 86
 
1.3%
ValueCountFrequency (%)
1429 1
< 0.1%
1311 1
< 0.1%
1264 1
< 0.1%
1243 1
< 0.1%
1231 1
< 0.1%
1179 1
< 0.1%
1178 1
< 0.1%
1112 1
< 0.1%
1044 1
< 0.1%
1032 1
< 0.1%

하차총승객수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct542
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.20776
Minimum0
Maximum1519
Zeros277
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size59.5 KiB
2024-05-04T04:37:28.093140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q112
median54
Q3131
95-th percentile328
Maximum1519
Range1519
Interquartile range (IQR)119

Descriptive statistics

Standard deviation128.35523
Coefficient of variation (CV)1.3341464
Kurtosis19.210687
Mean96.20776
Median Absolute Deviation (MAD)48
Skewness3.3448931
Sum649691
Variance16475.065
MonotonicityNot monotonic
2024-05-04T04:37:28.720441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 277
 
4.1%
1 232
 
3.4%
2 220
 
3.3%
4 164
 
2.4%
3 147
 
2.2%
5 124
 
1.8%
6 92
 
1.4%
7 89
 
1.3%
9 86
 
1.3%
11 86
 
1.3%
Other values (532) 5236
77.5%
ValueCountFrequency (%)
0 277
4.1%
1 232
3.4%
2 220
3.3%
3 147
2.2%
4 164
2.4%
5 124
1.8%
6 92
 
1.4%
7 89
 
1.3%
8 75
 
1.1%
9 86
 
1.3%
ValueCountFrequency (%)
1519 1
< 0.1%
1508 1
< 0.1%
1424 1
< 0.1%
1406 1
< 0.1%
1381 1
< 0.1%
1277 1
< 0.1%
1134 1
< 0.1%
1113 1
< 0.1%
1063 1
< 0.1%
1020 1
< 0.1%

등록일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.9 KiB
20230804
6753 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20230804
2nd row20230804
3rd row20230804
4th row20230804
5th row20230804

Common Values

ValueCountFrequency (%)
20230804 6753
100.0%

Length

2024-05-04T04:37:29.162986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:37:29.651858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20230804 6753
100.0%

Interactions

2024-05-04T04:37:12.017056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:37:09.928147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:37:11.061231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:37:12.392038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:37:10.320454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:37:11.345489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:37:12.832576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:37:10.691782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T04:37:11.653564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T04:37:29.896165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선번호노선명표준버스정류장ID승차총승객수하차총승객수
노선번호1.0001.0000.6820.4480.452
노선명1.0001.0000.7020.4450.449
표준버스정류장ID0.6820.7021.0000.1950.201
승차총승객수0.4480.4450.1951.0000.465
하차총승객수0.4520.4490.2010.4651.000
2024-05-04T04:37:30.373010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
표준버스정류장ID승차총승객수하차총승객수
표준버스정류장ID1.000-0.139-0.131
승차총승객수-0.1391.0000.592
하차총승객수-0.1310.5921.000

Missing values

2024-05-04T04:37:13.364136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T04:37:13.912918image/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
020230801100100번(하계동~용산구청)10000000201002창경궁.서울대학교병원(00031)11811020230804
1202308019401-19401-1번(이매촌한신.서현역.AK프라자~순천향대학병원)20600069507616이매촌한신.서현역.AK프라자(00021)2114720230804
2202308019401-19401-1번(이매촌한신.서현역.AK프라자~순천향대학병원)20600061347105이매촌한신.서현역.AK프라자(00004)702020230804
3202308019401-19401-1번(이매촌한신.서현역.AK프라자~순천향대학병원)20600053747635백현마을3단지(00020)4520230804
4202308019401-19401-1번(이매촌한신.서현역.AK프라자~순천향대학병원)20600053647634백현마을4단지(00019)01120230804
5202308019401-19401-1번(이매촌한신.서현역.AK프라자~순천향대학병원)20600053547633낙생육교(00018)3318820230804
6202308019401-19401-1번(이매촌한신.서현역.AK프라자~순천향대학병원)20600053247638낙생육교(00007)1063320230804
7202308019401-19401-1번(이매촌한신.서현역.AK프라자~순천향대학병원)20600053147632백현마을1단지(00006)181720230804
8202308019401-19401-1번(이매촌한신.서현역.AK프라자~순천향대학병원)20600053047631백현마을2단지(00005)29620230804
9202308019401-19401-1번(이매촌한신.서현역.AK프라자~순천향대학병원)20600031947054효자촌(00003)144120230804
사용일자노선번호노선명표준버스정류장ID버스정류장ARS번호역명승차총승객수하차총승객수등록일자
674320230801463463(염곡동~국회의사당)12200005323154압구정중고등학교.현대아파트(00076)4611820230804
67442023080143184318번(풍납동출발.풍납동~사당동)12200014223245휘문고.대치2동주민센터(00086)156920230804
67452023080143184318번(풍납동출발.풍납동~사당동)12200032723435대치유수지체육공원(00028)74520230804
674620230801463463(염곡동~국회의사당)12200006223164성수대교남단.현대아파트(00020)1304920230804
67472023080143184318번(풍납동출발.풍납동~사당동)12200032823436우성아파트(00087)1326120230804
67482023080143184318번(풍납동출발.풍납동~사당동)12200038623509총회회관.휘문고입구(00030)221520230804
674920230801601601번(개화동~종로4가)11500000116001염창역.서울도시가스(00059)47743620230804
67502023080122222222번(자양동~고대앞)10400015705250광진광장(00011)2058520230804
675120230801463463(염곡동~국회의사당)12200016523268차병원(00084)23328820230804
67522023080143184318번(풍납동출발.풍납동~사당동)12200038823511새마을운동중앙회(00029)441920230804