Overview

Dataset statistics

Number of variables11
Number of observations5690
Missing cells5690
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory516.9 KiB
Average record size in memory93.0 B

Variable types

Categorical3
Numeric4
Text3
Unsupported1

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15246/A/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 5690 (100.0%) missing valuesMissing
성별 is an unsupported type, check if it needs cleaning or further analysisUnsupported
이동거리(M) has 76 (1.3%) zerosZeros

Reproduction

Analysis started2024-05-18 04:51:17.520787
Analysis finished2024-05-18 04:51:26.127919
Duration8.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대여일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.6 KiB
2023-03-01
5690 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-01
2nd row2023-03-01
3rd row2023-03-01
4th row2023-03-01
5th row2023-03-01

Common Values

ValueCountFrequency (%)
2023-03-01 5690
100.0%

Length

2024-05-18T13:51:26.323343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:51:26.622002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-01 5690
100.0%

대여소번호
Real number (ℝ)

Distinct2346
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2198.0529
Minimum102
Maximum6054
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.1 KiB
2024-05-18T13:51:26.931484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum102
5-th percentile245.9
Q1932
median1744
Q33614.75
95-th percentile4854
Maximum6054
Range5952
Interquartile range (IQR)2682.75

Descriptive statistics

Standard deviation1532.2673
Coefficient of variation (CV)0.6971021
Kurtosis-0.9755704
Mean2198.0529
Median Absolute Deviation (MAD)1041.5
Skewness0.51242484
Sum12506921
Variance2347843
MonotonicityNot monotonic
2024-05-18T13:51:27.392633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3517 7
 
0.1%
3668 7
 
0.1%
2824 6
 
0.1%
275 6
 
0.1%
3575 6
 
0.1%
770 6
 
0.1%
1210 6
 
0.1%
1650 6
 
0.1%
3882 6
 
0.1%
1911 6
 
0.1%
Other values (2336) 5628
98.9%
ValueCountFrequency (%)
102 3
0.1%
103 5
0.1%
104 4
0.1%
105 1
 
< 0.1%
106 3
0.1%
107 2
 
< 0.1%
108 3
0.1%
109 2
 
< 0.1%
111 2
 
< 0.1%
112 2
 
< 0.1%
ValueCountFrequency (%)
6054 3
0.1%
6053 1
 
< 0.1%
5866 2
 
< 0.1%
5865 2
 
< 0.1%
5864 1
 
< 0.1%
5862 5
0.1%
5861 2
 
< 0.1%
5860 2
 
< 0.1%
5859 1
 
< 0.1%
5858 3
0.1%

대여소
Text

Distinct2346
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Memory size44.6 KiB
2024-05-18T13:51:28.010334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length15.602812
Min length7

Characters and Unicode

Total characters88780
Distinct characters568
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

Unique655 ?
Unique (%)11.5%

Sample

1st row729. 서부식자재마트 건너편
2nd row733. 신정이펜하우스314동
3rd row735. 영도초등학교
4th row1153. 발산역 1번, 9번 인근 대여소
5th row1442. 중랑구 중소기업 창업센터
ValueCountFrequency (%)
앞 1489
 
8.9%
출구 244
 
1.5%
옆 199
 
1.2%
1번출구 189
 
1.1%
교차로 142
 
0.8%
사거리 130
 
0.8%
뒤 125
 
0.7%
입구 123
 
0.7%
2번출구 120
 
0.7%
3번출구 116
 
0.7%
Other values (4717) 13842
82.8%
2024-05-18T13:51:29.014872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11125
 
12.5%
. 5698
 
6.4%
1 4521
 
5.1%
2 3313
 
3.7%
4 2795
 
3.1%
3 2689
 
3.0%
5 2162
 
2.4%
0 2022
 
2.3%
6 2002
 
2.3%
구 1902
 
2.1%
Other values (558) 50551
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45779
51.6%
Decimal Number 24415
27.5%
Space Separator 11125
 
12.5%
Other Punctuation 5770
 
6.5%
Uppercase Letter 668
 
0.8%
Close Punctuation 448
 
0.5%
Open Punctuation 448
 
0.5%
Lowercase Letter 75
 
0.1%
Dash Punctuation 34
 
< 0.1%
Connector Punctuation 5
 
< 0.1%
Other values (3) 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1902
 
4.2%
앞 1723
 
3.8%
역 1474
 
3.2%
번 1308
 
2.9%
동 1299
 
2.8%
출 1275
 
2.8%
교 914
 
2.0%
파 867
 
1.9%
아 824
 
1.8%
리 769
 
1.7%
Other values (496) 33424
73.0%
Uppercase Letter
ValueCountFrequency (%)
S 73
10.9%
T 70
10.5%
A 69
10.3%
K 66
9.9%
C 55
 
8.2%
B 45
 
6.7%
P 42
 
6.3%
D 39
 
5.8%
G 36
 
5.4%
I 35
 
5.2%
Other values (14) 138
20.7%
Lowercase Letter
ValueCountFrequency (%)
e 30
40.0%
k 11
 
14.7%
s 9
 
12.0%
t 6
 
8.0%
n 4
 
5.3%
a 2
 
2.7%
g 2
 
2.7%
h 2
 
2.7%
r 2
 
2.7%
f 2
 
2.7%
Other values (3) 5
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 4521
18.5%
2 3313
13.6%
4 2795
11.4%
3 2689
11.0%
5 2162
8.9%
0 2022
8.3%
6 2002
8.2%
7 1896
7.8%
8 1620
 
6.6%
9 1395
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 5698
98.8%
, 52
 
0.9%
& 10
 
0.2%
? 6
 
0.1%
· 4
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
+ 1
 
20.0%
Other Number
ValueCountFrequency (%)
② 3
60.0%
① 2
40.0%
Space Separator
ValueCountFrequency (%)
11125
100.0%
Close Punctuation
ValueCountFrequency (%)
) 448
100.0%
Open Punctuation
ValueCountFrequency (%)
( 448
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45782
51.6%
Common 42255
47.6%
Latin 743
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1902
 
4.2%
앞 1723
 
3.8%
역 1474
 
3.2%
번 1308
 
2.9%
동 1299
 
2.8%
출 1275
 
2.8%
교 914
 
2.0%
파 867
 
1.9%
아 824
 
1.8%
리 769
 
1.7%
Other values (497) 33427
73.0%
Latin
ValueCountFrequency (%)
S 73
 
9.8%
T 70
 
9.4%
A 69
 
9.3%
K 66
 
8.9%
C 55
 
7.4%
B 45
 
6.1%
P 42
 
5.7%
D 39
 
5.2%
G 36
 
4.8%
I 35
 
4.7%
Other values (27) 213
28.7%
Common
ValueCountFrequency (%)
11125
26.3%
. 5698
13.5%
1 4521
10.7%
2 3313
 
7.8%
4 2795
 
6.6%
3 2689
 
6.4%
5 2162
 
5.1%
0 2022
 
4.8%
6 2002
 
4.7%
7 1896
 
4.5%
Other values (14) 4032
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45779
51.6%
ASCII 42989
48.4%
None 7
 
< 0.1%
Enclosed Alphanum 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11125
25.9%
. 5698
13.3%
1 4521
10.5%
2 3313
 
7.7%
4 2795
 
6.5%
3 2689
 
6.3%
5 2162
 
5.0%
0 2022
 
4.7%
6 2002
 
4.7%
7 1896
 
4.4%
Other values (48) 4766
11.1%
Hangul
ValueCountFrequency (%)
구 1902
 
4.2%
앞 1723
 
3.8%
역 1474
 
3.2%
번 1308
 
2.9%
동 1299
 
2.8%
출 1275
 
2.8%
교 914
 
2.0%
파 867
 
1.9%
아 824
 
1.8%
리 769
 
1.7%
Other values (496) 33424
73.0%
None
ValueCountFrequency (%)
· 4
57.1%
㈜ 3
42.9%
Enclosed Alphanum
ValueCountFrequency (%)
② 3
60.0%
① 2
40.0%

대여구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.6 KiB
정기권
5690 

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 5690
100.0%

Length

2024-05-18T13:51:29.412578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:51:29.678417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기권 5690
100.0%

성별
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5690
Missing (%)100.0%
Memory size50.1 KiB

연령대
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size44.6 KiB
20대
2103 
30대
1562 
40대
996 
50대
848 
~10대
 
181

Length

Max length4
Median length3
Mean length3.0318102
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 2103
37.0%
30대 1562
27.5%
40대 996
17.5%
50대 848
14.9%
~10대 181
 
3.2%

Length

2024-05-18T13:51:29.892632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:51:30.189696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20대 2103
37.0%
30대 1562
27.5%
40대 996
17.5%
50대 848
14.9%
10대 181
 
3.2%

이용건수
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0732865
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.1 KiB
2024-05-18T13:51:30.520216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile6
Maximum24
Range23
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.933798
Coefficient of variation (CV)0.93272106
Kurtosis19.187515
Mean2.0732865
Median Absolute Deviation (MAD)0
Skewness3.5340502
Sum11797
Variance3.7395745
MonotonicityNot monotonic
2024-05-18T13:51:30.858109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 3171
55.7%
2 1168
 
20.5%
3 598
 
10.5%
4 293
 
5.1%
5 147
 
2.6%
6 104
 
1.8%
7 63
 
1.1%
8 47
 
0.8%
9 28
 
0.5%
10 24
 
0.4%
Other values (12) 47
 
0.8%
ValueCountFrequency (%)
1 3171
55.7%
2 1168
 
20.5%
3 598
 
10.5%
4 293
 
5.1%
5 147
 
2.6%
6 104
 
1.8%
7 63
 
1.1%
8 47
 
0.8%
9 28
 
0.5%
10 24
 
0.4%
ValueCountFrequency (%)
24 1
 
< 0.1%
22 1
 
< 0.1%
21 1
 
< 0.1%
20 2
 
< 0.1%
18 1
 
< 0.1%
17 1
 
< 0.1%
16 3
 
0.1%
15 8
0.1%
14 3
 
0.1%
13 4
0.1%

운동량
Text

Distinct4725
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size44.6 KiB
2024-05-18T13:51:31.677062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3072056
Min length2

Characters and Unicode

Total characters30198
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

Unique3985 ?
Unique (%)70.0%

Sample

1st row82.16
2nd row0.00
3rd row74.97
4th row8.58
5th row45.55
ValueCountFrequency (%)
0.00 71
 
1.2%
n 9
 
0.2%
17.76 6
 
0.1%
19.56 5
 
0.1%
20.39 5
 
0.1%
19.67 5
 
0.1%
48.91 4
 
0.1%
13.13 4
 
0.1%
40.39 4
 
0.1%
39.64 4
 
0.1%
Other values (4715) 5573
97.9%
2024-05-18T13:51:32.786074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 5681
18.8%
1 3666
12.1%
2 2922
9.7%
3 2644
8.8%
4 2343
7.8%
5 2284
7.6%
0 2264
 
7.5%
6 2147
 
7.1%
8 2142
 
7.1%
7 2097
 
6.9%
Other values (3) 2008
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24499
81.1%
Other Punctuation 5690
 
18.8%
Uppercase Letter 9
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3666
15.0%
2 2922
11.9%
3 2644
10.8%
4 2343
9.6%
5 2284
9.3%
0 2264
9.2%
6 2147
8.8%
8 2142
8.7%
7 2097
8.6%
9 1990
8.1%
Other Punctuation
ValueCountFrequency (%)
. 5681
99.8%
\ 9
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
N 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30189
> 99.9%
Latin 9
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 5681
18.8%
1 3666
12.1%
2 2922
9.7%
3 2644
8.8%
4 2343
7.8%
5 2284
7.6%
0 2264
 
7.5%
6 2147
 
7.1%
8 2142
 
7.1%
7 2097
 
6.9%
Other values (2) 1999
 
6.6%
Latin
ValueCountFrequency (%)
N 9
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30198
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 5681
18.8%
1 3666
12.1%
2 2922
9.7%
3 2644
8.8%
4 2343
7.8%
5 2284
7.6%
0 2264
 
7.5%
6 2147
 
7.1%
8 2142
 
7.1%
7 2097
 
6.9%
Other values (3) 2008
 
6.6%

탄소량
Text

Distinct468
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size44.6 KiB
2024-05-18T13:51:33.847322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.9973638
Min length2

Characters and Unicode

Total characters22745
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

Unique136 ?
Unique (%)2.4%

Sample

1st row0.62
2nd row0.00
3rd row0.73
4th row0.16
5th row0.33
ValueCountFrequency (%)
0.16 89
 
1.6%
0.20 83
 
1.5%
0.18 81
 
1.4%
0.21 79
 
1.4%
0.00 78
 
1.4%
0.24 76
 
1.3%
0.22 71
 
1.2%
0.28 71
 
1.2%
0.17 71
 
1.2%
0.23 70
 
1.2%
Other values (458) 4921
86.5%
2024-05-18T13:51:35.343074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 5681
25.0%
0 5125
22.5%
1 2521
11.1%
2 1841
 
8.1%
3 1447
 
6.4%
4 1273
 
5.6%
5 1085
 
4.8%
6 1025
 
4.5%
7 979
 
4.3%
8 896
 
3.9%
Other values (3) 872
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17046
74.9%
Other Punctuation 5690
 
25.0%
Uppercase Letter 9
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5125
30.1%
1 2521
14.8%
2 1841
 
10.8%
3 1447
 
8.5%
4 1273
 
7.5%
5 1085
 
6.4%
6 1025
 
6.0%
7 979
 
5.7%
8 896
 
5.3%
9 854
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 5681
99.8%
\ 9
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
N 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22736
> 99.9%
Latin 9
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 5681
25.0%
0 5125
22.5%
1 2521
11.1%
2 1841
 
8.1%
3 1447
 
6.4%
4 1273
 
5.6%
5 1085
 
4.8%
6 1025
 
4.5%
7 979
 
4.3%
8 896
 
3.9%
Other values (2) 863
 
3.8%
Latin
ValueCountFrequency (%)
N 9
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22745
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 5681
25.0%
0 5125
22.5%
1 2521
11.1%
2 1841
 
8.1%
3 1447
 
6.4%
4 1273
 
5.6%
5 1085
 
4.8%
6 1025
 
4.5%
7 979
 
4.3%
8 896
 
3.9%
Other values (3) 872
 
3.8%

이동거리(M)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct4477
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3905.2861
Minimum0
Maximum50902.76
Zeros76
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size50.1 KiB
2024-05-18T13:51:35.795114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile490
Q11210
median2450.92
Q34949.4475
95-th percentile12138.826
Maximum50902.76
Range50902.76
Interquartile range (IQR)3739.4475

Descriptive statistics

Standard deviation4362.5455
Coefficient of variation (CV)1.1170873
Kurtosis14.70821
Mean3905.2861
Median Absolute Deviation (MAD)1530.08
Skewness3.0504726
Sum22221078
Variance19031803
MonotonicityNot monotonic
2024-05-18T13:51:36.263006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 76
 
1.3%
890.0 14
 
0.2%
790.0 13
 
0.2%
1180.0 12
 
0.2%
1900.0 11
 
0.2%
1280.0 11
 
0.2%
1000.0 11
 
0.2%
1440.0 11
 
0.2%
760.0 10
 
0.2%
570.0 10
 
0.2%
Other values (4467) 5511
96.9%
ValueCountFrequency (%)
0.0 76
1.3%
0.1 2
 
< 0.1%
0.13 1
 
< 0.1%
0.66 1
 
< 0.1%
10.0 6
 
0.1%
20.0 1
 
< 0.1%
33.86 1
 
< 0.1%
40.0 1
 
< 0.1%
48.94 1
 
< 0.1%
54.19 1
 
< 0.1%
ValueCountFrequency (%)
50902.76 1
< 0.1%
45759.35 1
< 0.1%
45316.95 1
< 0.1%
38633.51 1
< 0.1%
36965.18 1
< 0.1%
35597.17 1
< 0.1%
35284.14 1
< 0.1%
34975.47 1
< 0.1%
33519.85 1
< 0.1%
33138.44 1
< 0.1%

이용시간(분)
Real number (ℝ)

HIGH CORRELATION 

Distinct202
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.802285
Minimum0
Maximum466
Zeros4
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size50.1 KiB
2024-05-18T13:51:36.692703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median18
Q339
95-th percentile92
Maximum466
Range466
Interquartile range (IQR)31

Descriptive statistics

Standard deviation33.783571
Coefficient of variation (CV)1.13359
Kurtosis18.610974
Mean29.802285
Median Absolute Deviation (MAD)12
Skewness3.2316495
Sum169575
Variance1141.3297
MonotonicityNot monotonic
2024-05-18T13:51:37.123624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 235
 
4.1%
5 222
 
3.9%
4 214
 
3.8%
7 213
 
3.7%
3 200
 
3.5%
8 194
 
3.4%
9 189
 
3.3%
11 160
 
2.8%
13 159
 
2.8%
10 158
 
2.8%
Other values (192) 3746
65.8%
ValueCountFrequency (%)
0 4
 
0.1%
1 31
 
0.5%
2 121
2.1%
3 200
3.5%
4 214
3.8%
5 222
3.9%
6 235
4.1%
7 213
3.7%
8 194
3.4%
9 189
3.3%
ValueCountFrequency (%)
466 1
< 0.1%
403 1
< 0.1%
376 1
< 0.1%
309 1
< 0.1%
287 1
< 0.1%
281 1
< 0.1%
278 1
< 0.1%
277 1
< 0.1%
271 1
< 0.1%
261 1
< 0.1%

Interactions

2024-05-18T13:51:23.892375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:51:19.620438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:51:21.039021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:51:22.424015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:51:24.252433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:51:19.964219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:51:21.356539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:51:22.801574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:51:24.556211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:51:20.307190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:51:21.725843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:51:23.242628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:51:24.823148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:51:20.673039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:51:22.091756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:51:23.521801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T13:51:37.640909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여소번호연령대이용건수이동거리(M)이용시간(분)
대여소번호1.0000.0580.0860.0300.049
연령대0.0581.0000.3330.2380.160
이용건수0.0860.3331.0000.8140.659
이동거리(M)0.0300.2380.8141.0000.791
이용시간(분)0.0490.1600.6590.7911.000
2024-05-18T13:51:37.941932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여소번호이용건수이동거리(M)이용시간(분)연령대
대여소번호1.000-0.041-0.019-0.0170.024
이용건수-0.0411.0000.6770.6660.144
이동거리(M)-0.0190.6771.0000.8880.101
이용시간(분)-0.0170.6660.8881.0000.093
연령대0.0240.1440.1010.0931.000

Missing values

2024-05-18T13:51:25.304835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T13:51:25.912647image/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)
02023-03-01729729. 서부식자재마트 건너편정기권<NA>~10대182.160.622660.019
12023-03-01733733. 신정이펜하우스314동정기권<NA>~10대10.000.000.02
22023-03-01735735. 영도초등학교정기권<NA>~10대274.970.733139.069
32023-03-0111531153. 발산역 1번, 9번 인근 대여소정기권<NA>~10대18.580.16677.015
42023-03-0114421442. 중랑구 중소기업 창업센터정기권<NA>~10대145.550.331420.055
52023-03-0116561656. 중앙하이츠 아파트 입구정기권<NA>~10대155.470.662858.5918
62023-03-0117161716. 창동역 1번출구 건너편정기권<NA>~10대127.600.231009.927
72023-03-0117211721. 창동역 2번출구정기권<NA>~10대134.960.301279.4310
82023-03-0135063506. 영동대교 북단정기권<NA>~10대156.630.512200.014
92023-03-0135133513. 상왕십리역 1번출구정기권<NA>~10대118.390.20876.294
대여일자대여소번호대여소대여구분코드성별연령대이용건수운동량탄소량이동거리(M)이용시간(분)
56802023-03-0115121512. 강북중학교 앞정기권<NA>50대197.610.672900.015
56812023-03-0116051605. 헬스케어정기권<NA>50대110.080.07310.4420
56822023-03-0116201620. 중계동 노원구민체육센터 옆(중1-2)정기권<NA>50대242.240.371628.9815
56832023-03-0116281628. 노일초등학교 앞정기권<NA>50대122.270.17740.03
56842023-03-0116301630. 수연빌딩 앞정기권<NA>50대1127.570.883790.036
56852023-03-01419419. 홈플러스 앞정기권<NA>50대3234.822.028737.9564
56862023-03-0119411941. 오류동역 2번출구정기권<NA>50대175.110.632709.6245
56872023-03-0119461946. 구로역 광장정기권<NA>50대117.490.16690.05
56882023-03-0119531953. 천왕역 4번출구 뒤정기권<NA>50대10.000.000.01
56892023-03-0122632263. 바우뫼문화복지회관정기권<NA>50대198.960.833570.018