Overview

Dataset statistics

Number of variables11
Number of observations6359
Missing cells6359
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory577.7 KiB
Average record size in memory93.0 B

Variable types

DateTime1
Numeric4
Text3
Categorical2
Unsupported1

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15246/F/1/datasetView.do

Alerts

대여일자 has constant value ""Constant
대여구분코드 has constant value ""Constant
이용건수 is highly overall correlated with 이동거리(M) and 1 other fieldsHigh correlation
이동거리(M) is highly overall correlated with 이용건수 and 1 other fieldsHigh correlation
이용시간(분) is highly overall correlated with 이용건수 and 1 other fieldsHigh correlation
성별 has 6359 (100.0%) missing valuesMissing
성별 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-13 16:27:09.091460
Analysis finished2024-03-13 16:27:11.471595
Duration2.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대여일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.8 KiB
Minimum2022-08-01 00:00:00
Maximum2022-08-01 00:00:00
2024-03-14T01:27:11.503823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:27:11.577806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

대여소번호
Real number (ℝ)

Distinct2399
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2074.6537
Minimum102
Maximum5857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size56.0 KiB
2024-03-14T01:27:11.671395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum102
5-th percentile244
Q1852.5
median1716
Q33308.5
95-th percentile4708
Maximum5857
Range5755
Interquartile range (IQR)2456

Descriptive statistics

Standard deviation1450.1901
Coefficient of variation (CV)0.69900342
Kurtosis-0.86831145
Mean2074.6537
Median Absolute Deviation (MAD)994
Skewness0.56515008
Sum13192723
Variance2103051.2
MonotonicityNot monotonic
2024-03-14T01:27:11.794714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1977 8
 
0.1%
1867 7
 
0.1%
1060 6
 
0.1%
283 6
 
0.1%
1653 6
 
0.1%
1231 6
 
0.1%
3202 6
 
0.1%
1077 6
 
0.1%
1721 6
 
0.1%
1047 6
 
0.1%
Other values (2389) 6296
99.0%
ValueCountFrequency (%)
102 4
0.1%
103 3
< 0.1%
104 2
 
< 0.1%
105 2
 
< 0.1%
106 3
< 0.1%
107 5
0.1%
108 3
< 0.1%
109 3
< 0.1%
111 2
 
< 0.1%
112 3
< 0.1%
ValueCountFrequency (%)
5857 3
< 0.1%
5855 2
< 0.1%
5854 3
< 0.1%
5853 3
< 0.1%
5852 1
 
< 0.1%
5851 2
< 0.1%
5753 2
< 0.1%
5752 4
0.1%
5751 2
< 0.1%
5310 1
 
< 0.1%

대여소
Text

Distinct2399
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Memory size49.8 KiB
2024-03-14T01:27:12.036634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length15.516905
Min length7

Characters and Unicode

Total characters98672
Distinct characters574
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique477 ?
Unique (%)7.5%

Sample

1st row731. 서울시 도로환경관리센터
2nd row734. 신트리공원 입구
3rd row735. 영도초등학교
4th row740. 으뜸공원
5th row746. 목동2단지 상가
ValueCountFrequency (%)
앞 1629
 
8.8%
출구 285
 
1.5%
옆 243
 
1.3%
1번출구 201
 
1.1%
사거리 160
 
0.9%
교차로 147
 
0.8%
3번출구 131
 
0.7%
뒤 130
 
0.7%
2번출구 128
 
0.7%
입구 124
 
0.7%
Other values (4820) 15429
82.9%
2024-03-14T01:27:12.369888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12370
 
12.5%
. 6375
 
6.5%
1 5047
 
5.1%
2 3844
 
3.9%
3 3043
 
3.1%
4 2986
 
3.0%
5 2377
 
2.4%
0 2283
 
2.3%
6 2209
 
2.2%
구 2096
 
2.1%
Other values (564) 56042
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50762
51.4%
Decimal Number 27204
27.6%
Space Separator 12370
 
12.5%
Other Punctuation 6458
 
6.5%
Uppercase Letter 721
 
0.7%
Close Punctuation 493
 
0.5%
Open Punctuation 493
 
0.5%
Lowercase Letter 113
 
0.1%
Dash Punctuation 42
 
< 0.1%
Connector Punctuation 6
 
< 0.1%
Other values (3) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2096
 
4.1%
앞 1904
 
3.8%
역 1647
 
3.2%
번 1471
 
2.9%
출 1446
 
2.8%
동 1362
 
2.7%
교 996
 
2.0%
파 906
 
1.8%
리 890
 
1.8%
아 880
 
1.7%
Other values (503) 37164
73.2%
Uppercase Letter
ValueCountFrequency (%)
S 83
11.5%
K 76
10.5%
T 74
10.3%
C 65
9.0%
A 58
 
8.0%
D 52
 
7.2%
G 48
 
6.7%
B 40
 
5.5%
P 38
 
5.3%
M 34
 
4.7%
Other values (14) 153
21.2%
Lowercase Letter
ValueCountFrequency (%)
e 38
33.6%
s 15
 
13.3%
k 14
 
12.4%
n 10
 
8.8%
t 5
 
4.4%
v 5
 
4.4%
l 5
 
4.4%
y 5
 
4.4%
h 4
 
3.5%
r 4
 
3.5%
Other values (3) 8
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 5047
18.6%
2 3844
14.1%
3 3043
11.2%
4 2986
11.0%
5 2377
8.7%
0 2283
8.4%
6 2209
8.1%
7 2071
7.6%
8 1766
 
6.5%
9 1578
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 6375
98.7%
, 52
 
0.8%
& 21
 
0.3%
? 7
 
0.1%
· 3
 
< 0.1%
Other Number
ValueCountFrequency (%)
② 2
50.0%
① 2
50.0%
Space Separator
ValueCountFrequency (%)
12370
100.0%
Close Punctuation
ValueCountFrequency (%)
) 493
100.0%
Open Punctuation
ValueCountFrequency (%)
( 493
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50765
51.4%
Common 47073
47.7%
Latin 834
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2096
 
4.1%
앞 1904
 
3.8%
역 1647
 
3.2%
번 1471
 
2.9%
출 1446
 
2.8%
동 1362
 
2.7%
교 996
 
2.0%
파 906
 
1.8%
리 890
 
1.8%
아 880
 
1.7%
Other values (504) 37167
73.2%
Latin
ValueCountFrequency (%)
S 83
 
10.0%
K 76
 
9.1%
T 74
 
8.9%
C 65
 
7.8%
A 58
 
7.0%
D 52
 
6.2%
G 48
 
5.8%
B 40
 
4.8%
e 38
 
4.6%
P 38
 
4.6%
Other values (27) 262
31.4%
Common
ValueCountFrequency (%)
12370
26.3%
. 6375
13.5%
1 5047
10.7%
2 3844
 
8.2%
3 3043
 
6.5%
4 2986
 
6.3%
5 2377
 
5.0%
0 2283
 
4.8%
6 2209
 
4.7%
7 2071
 
4.4%
Other values (13) 4468
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50762
51.4%
ASCII 47900
48.5%
None 6
 
< 0.1%
Enclosed Alphanum 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12370
25.8%
. 6375
13.3%
1 5047
10.5%
2 3844
 
8.0%
3 3043
 
6.4%
4 2986
 
6.2%
5 2377
 
5.0%
0 2283
 
4.8%
6 2209
 
4.6%
7 2071
 
4.3%
Other values (47) 5295
11.1%
Hangul
ValueCountFrequency (%)
구 2096
 
4.1%
앞 1904
 
3.8%
역 1647
 
3.2%
번 1471
 
2.9%
출 1446
 
2.8%
동 1362
 
2.7%
교 996
 
2.0%
파 906
 
1.8%
리 890
 
1.8%
아 880
 
1.7%
Other values (503) 37164
73.2%
None
ValueCountFrequency (%)
· 3
50.0%
㈜ 3
50.0%
Enclosed Alphanum
ValueCountFrequency (%)
② 2
50.0%
① 2
50.0%

대여구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.8 KiB
정기권
6359 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정기권 6359
100.0%

Length

2024-03-14T01:27:12.476046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:27:12.563298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기권 6359
100.0%

성별
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6359
Missing (%)100.0%
Memory size56.0 KiB

연령대
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size49.8 KiB
20대
2375 
30대
1870 
40대
1272 
~10대
504 
50대
338 

Length

Max length4
Median length3
Mean length3.0792577
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row~10대
2nd row~10대
3rd row~10대
4th row~10대
5th row~10대

Common Values

ValueCountFrequency (%)
20대 2375
37.3%
30대 1870
29.4%
40대 1272
20.0%
~10대 504
 
7.9%
50대 338
 
5.3%

Length

2024-03-14T01:27:12.640431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:27:12.727852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20대 2375
37.3%
30대 1870
29.4%
40대 1272
20.0%
10대 504
 
7.9%
50대 338
 
5.3%

이용건수
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0215443
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size56.0 KiB
2024-03-14T01:27:12.815218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile9
Maximum50
Range49
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.3330409
Coefficient of variation (CV)1.1030919
Kurtosis19.856121
Mean3.0215443
Median Absolute Deviation (MAD)1
Skewness3.4524302
Sum19214
Variance11.109161
MonotonicityNot monotonic
2024-03-14T01:27:12.915669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 2761
43.4%
2 1222
19.2%
3 726
 
11.4%
4 475
 
7.5%
5 310
 
4.9%
6 188
 
3.0%
7 159
 
2.5%
8 126
 
2.0%
9 84
 
1.3%
11 53
 
0.8%
Other values (23) 255
 
4.0%
ValueCountFrequency (%)
1 2761
43.4%
2 1222
19.2%
3 726
 
11.4%
4 475
 
7.5%
5 310
 
4.9%
6 188
 
3.0%
7 159
 
2.5%
8 126
 
2.0%
9 84
 
1.3%
10 50
 
0.8%
ValueCountFrequency (%)
50 1
 
< 0.1%
36 1
 
< 0.1%
35 1
 
< 0.1%
32 1
 
< 0.1%
31 3
< 0.1%
28 1
 
< 0.1%
27 1
 
< 0.1%
26 2
< 0.1%
25 2
< 0.1%
24 4
0.1%

운동량
Text

Distinct5498
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size49.8 KiB
2024-03-14T01:27:13.221823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4148451
Min length2

Characters and Unicode

Total characters34433
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4838 ?
Unique (%)76.1%

Sample

1st row49.28
2nd row205.54
3rd row86.36
4th row37.21
5th row66.16
ValueCountFrequency (%)
0.00 49
 
0.8%
n 11
 
0.2%
20.59 6
 
0.1%
36.04 5
 
0.1%
64.35 5
 
0.1%
21.88 5
 
0.1%
42.47 5
 
0.1%
13.31 5
 
0.1%
26.25 5
 
0.1%
21.62 4
 
0.1%
Other values (5488) 6259
98.4%
2024-03-14T01:27:13.595554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 6348
18.4%
1 4108
11.9%
2 3452
10.0%
3 3042
8.8%
4 2703
7.9%
5 2689
7.8%
6 2501
 
7.3%
8 2441
 
7.1%
7 2402
 
7.0%
9 2392
 
6.9%
Other values (3) 2355
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28063
81.5%
Other Punctuation 6359
 
18.5%
Uppercase Letter 11
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4108
14.6%
2 3452
12.3%
3 3042
10.8%
4 2703
9.6%
5 2689
9.6%
6 2501
8.9%
8 2441
8.7%
7 2402
8.6%
9 2392
8.5%
0 2333
8.3%
Other Punctuation
ValueCountFrequency (%)
. 6348
99.8%
\ 11
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
N 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34422
> 99.9%
Latin 11
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 6348
18.4%
1 4108
11.9%
2 3452
10.0%
3 3042
8.8%
4 2703
7.9%
5 2689
7.8%
6 2501
 
7.3%
8 2441
 
7.1%
7 2402
 
7.0%
9 2392
 
6.9%
Other values (2) 2344
 
6.8%
Latin
ValueCountFrequency (%)
N 11
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34433
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 6348
18.4%
1 4108
11.9%
2 3452
10.0%
3 3042
8.8%
4 2703
7.9%
5 2689
7.8%
6 2501
 
7.3%
8 2441
 
7.1%
7 2402
 
7.0%
9 2392
 
6.9%
Other values (3) 2355
 
6.8%

탄소량
Text

Distinct624
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size49.8 KiB
2024-03-14T01:27:13.938643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.9992137
Min length2

Characters and Unicode

Total characters25431
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)2.5%

Sample

1st row0.36
2nd row1.88
3rd row1.02
4th row0.38
5th row0.48
ValueCountFrequency (%)
0.19 89
 
1.4%
0.25 72
 
1.1%
0.20 69
 
1.1%
0.30 68
 
1.1%
0.24 68
 
1.1%
0.23 66
 
1.0%
0.33 65
 
1.0%
0.32 63
 
1.0%
0.28 63
 
1.0%
0.13 62
 
1.0%
Other values (614) 5674
89.2%
2024-03-14T01:27:14.378349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 6348
25.0%
0 5031
19.8%
1 2905
11.4%
2 2166
 
8.5%
3 1700
 
6.7%
4 1502
 
5.9%
5 1291
 
5.1%
6 1192
 
4.7%
7 1192
 
4.7%
9 1045
 
4.1%
Other values (3) 1059
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19061
75.0%
Other Punctuation 6359
 
25.0%
Uppercase Letter 11
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5031
26.4%
1 2905
15.2%
2 2166
11.4%
3 1700
 
8.9%
4 1502
 
7.9%
5 1291
 
6.8%
6 1192
 
6.3%
7 1192
 
6.3%
9 1045
 
5.5%
8 1037
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 6348
99.8%
\ 11
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
N 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25420
> 99.9%
Latin 11
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 6348
25.0%
0 5031
19.8%
1 2905
11.4%
2 2166
 
8.5%
3 1700
 
6.7%
4 1502
 
5.9%
5 1291
 
5.1%
6 1192
 
4.7%
7 1192
 
4.7%
9 1045
 
4.1%
Other values (2) 1048
 
4.1%
Latin
ValueCountFrequency (%)
N 11
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25431
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 6348
25.0%
0 5031
19.8%
1 2905
11.4%
2 2166
 
8.5%
3 1700
 
6.7%
4 1502
 
5.9%
5 1291
 
5.1%
6 1192
 
4.7%
7 1192
 
4.7%
9 1045
 
4.1%
Other values (3) 1059
 
4.2%

이동거리(M)
Real number (ℝ)

HIGH CORRELATION 

Distinct5196
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5503.5298
Minimum0
Maximum81508.54
Zeros56
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size56.0 KiB
2024-03-14T01:27:14.495404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile529.995
Q11416.095
median3249.68
Q37125.365
95-th percentile18082.667
Maximum81508.54
Range81508.54
Interquartile range (IQR)5709.27

Descriptive statistics

Standard deviation6524.3485
Coefficient of variation (CV)1.1854844
Kurtosis16.636145
Mean5503.5298
Median Absolute Deviation (MAD)2191.55
Skewness3.1207673
Sum34996946
Variance42567123
MonotonicityNot monotonic
2024-03-14T01:27:14.610389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 56
 
0.9%
1010.0 12
 
0.2%
1340.0 11
 
0.2%
820.0 11
 
0.2%
1300.0 10
 
0.2%
840.0 10
 
0.2%
1980.0 10
 
0.2%
810.0 10
 
0.2%
800.0 10
 
0.2%
1520.0 10
 
0.2%
Other values (5186) 6209
97.6%
ValueCountFrequency (%)
0.0 56
0.9%
0.1 4
 
0.1%
0.2 1
 
< 0.1%
10.0 3
 
< 0.1%
13.7 1
 
< 0.1%
17.75 1
 
< 0.1%
30.0 1
 
< 0.1%
40.0 1
 
< 0.1%
45.9 1
 
< 0.1%
60.0 1
 
< 0.1%
ValueCountFrequency (%)
81508.54 1
< 0.1%
73889.98 1
< 0.1%
73793.87 1
< 0.1%
69650.22 1
< 0.1%
65837.91 1
< 0.1%
60645.83 1
< 0.1%
57348.11 1
< 0.1%
54991.85 1
< 0.1%
53319.64 1
< 0.1%
49396.2 1
< 0.1%

이용시간(분)
Real number (ℝ)

HIGH CORRELATION 

Distinct285
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.163548
Minimum0
Maximum831
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size56.0 KiB
2024-03-14T01:27:14.740987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median26
Q356
95-th percentile143
Maximum831
Range831
Interquartile range (IQR)46

Descriptive statistics

Standard deviation52.318107
Coefficient of variation (CV)1.2120901
Kurtosis20.071935
Mean43.163548
Median Absolute Deviation (MAD)18
Skewness3.3092474
Sum274477
Variance2737.1843
MonotonicityNot monotonic
2024-03-14T01:27:14.847304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 204
 
3.2%
6 203
 
3.2%
8 195
 
3.1%
7 193
 
3.0%
4 189
 
3.0%
9 171
 
2.7%
11 165
 
2.6%
3 156
 
2.5%
10 153
 
2.4%
13 132
 
2.1%
Other values (275) 4598
72.3%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 23
 
0.4%
2 106
1.7%
3 156
2.5%
4 189
3.0%
5 204
3.2%
6 203
3.2%
7 193
3.0%
8 195
3.1%
9 171
2.7%
ValueCountFrequency (%)
831 1
< 0.1%
571 1
< 0.1%
517 1
< 0.1%
485 1
< 0.1%
466 1
< 0.1%
439 1
< 0.1%
438 1
< 0.1%
437 1
< 0.1%
433 1
< 0.1%
406 1
< 0.1%

Interactions

2024-03-14T01:27:10.985651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:27:09.979997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:27:10.267877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:27:10.582694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:27:11.056228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:27:10.049120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:27:10.340621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:27:10.673641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:27:11.126701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:27:10.118082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:27:10.411579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:27:10.797006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:27:11.203415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:27:10.196491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:27:10.497050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:27:10.911526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T01:27:14.912436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여소번호연령대이용건수이동거리(M)이용시간(분)
대여소번호1.0000.1640.0750.0180.027
연령대0.1641.0000.2830.3200.219
이용건수0.0750.2831.0000.7540.710
이동거리(M)0.0180.3200.7541.0000.814
이용시간(분)0.0270.2190.7100.8141.000
2024-03-14T01:27:14.987734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여소번호이용건수이동거리(M)이용시간(분)연령대
대여소번호1.000-0.048-0.029-0.0420.069
이용건수-0.0481.0000.7660.7620.167
이동거리(M)-0.0290.7661.0000.9100.138
이용시간(분)-0.0420.7620.9101.0000.136
연령대0.0690.1670.1380.1361.000

Missing values

2024-03-14T01:27:11.295209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T01:27:11.419740image/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

대여일자대여소번호대여소대여구분코드성별연령대이용건수운동량탄소량이동거리(M)이용시간(분)
02022-08-01731731. 서울시 도로환경관리센터정기권<NA>~10대149.280.361555.529
12022-08-01734734. 신트리공원 입구정기권<NA>~10대1205.541.888110.042
22022-08-01735735. 영도초등학교정기권<NA>~10대386.361.024352.7128
32022-08-01740740. 으뜸공원정기권<NA>~10대137.210.381619.9956
42022-08-01746746. 목동2단지 상가정기권<NA>~10대266.160.482070.033
52022-08-01746746. 목동2단지 상가정기권<NA>~10대112.820.09390.09
62022-08-01748748. 목동운동장정기권<NA>~10대2113.991.044486.8136
72022-08-01949949. 연신내역 1번 출구정기권<NA>~10대114.670.13570.02
82022-08-01950950. 구산역 2번 출구 예일여고 버스정류장정기권<NA>~10대151.470.502166.2416
92022-08-01953953. 서울연신초등학교정기권<NA>~10대128.270.281190.09
대여일자대여소번호대여소대여구분코드성별연령대이용건수운동량탄소량이동거리(M)이용시간(분)
63492022-08-0128232823.중앙유통단지 앞정기권<NA>50대11.250.0145.93
63502022-08-0128242824.미래사랑어린이공원 앞정기권<NA>50대1201.961.396000.046
63512022-08-01296296.KT플라자 영등포점정기권<NA>50대128.730.22930.06
63522022-08-0132013201.당산skv1센터정기권<NA>50대124.640.241020.07
63532022-08-0132023202.당산롯데캐슬프레스티지정기권<NA>50대276.880.532305.3316
63542022-08-0132043204.도림고가도로 밑정기권<NA>50대135.460.351492.3317
63552022-08-0132063206.문래동 주민센터정기권<NA>50대1271.382.279790.049
63562022-08-01383383. 신당역 12번 출구 뒤정기권<NA>50대1213.551.747490.033
63572022-08-0132123212.신풍역 6번출구정기권<NA>50대136.140.391690.09
63582022-08-0132153215.강변삼성래미안정기권<NA>50대126.590.20850.07