Overview

Dataset statistics

Number of variables11
Number of observations5377
Missing cells5377
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory488.5 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/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 5377 (100.0%) missing valuesMissing
성별 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-13 16:26:53.842422
Analysis finished2024-03-13 16:26:56.169223
Duration2.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대여일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.1 KiB
2022-10-01
5377 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-01
2nd row2022-10-01
3rd row2022-10-01
4th row2022-10-01
5th row2022-10-01

Common Values

ValueCountFrequency (%)
2022-10-01 5377
100.0%

Length

2024-03-14T01:26:56.218664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:26:56.290870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-01 5377
100.0%

대여소번호
Real number (ℝ)

Distinct2409
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2140.5207
Minimum102
Maximum5858
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.4 KiB
2024-03-14T01:26:56.374070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum102
5-th percentile250.8
Q1942
median1736
Q33524
95-th percentile4798
Maximum5858
Range5756
Interquartile range (IQR)2582

Descriptive statistics

Standard deviation1478.1556
Coefficient of variation (CV)0.69055887
Kurtosis-0.9394535
Mean2140.5207
Median Absolute Deviation (MAD)997
Skewness0.53660403
Sum11509580
Variance2184944
MonotonicityNot monotonic
2024-03-14T01:26:56.482312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1977 6
 
0.1%
1262 6
 
0.1%
1160 6
 
0.1%
2015 5
 
0.1%
758 5
 
0.1%
3571 5
 
0.1%
1975 5
 
0.1%
4027 5
 
0.1%
3506 5
 
0.1%
1132 5
 
0.1%
Other values (2399) 5324
99.0%
ValueCountFrequency (%)
102 2
< 0.1%
103 3
0.1%
104 2
< 0.1%
105 3
0.1%
106 3
0.1%
107 2
< 0.1%
108 4
0.1%
109 3
0.1%
111 3
0.1%
112 3
0.1%
ValueCountFrequency (%)
5858 3
0.1%
5857 3
0.1%
5855 3
0.1%
5854 2
< 0.1%
5853 2
< 0.1%
5851 3
0.1%
5759 1
 
< 0.1%
5758 1
 
< 0.1%
5756 2
< 0.1%
5753 1
 
< 0.1%

대여소
Text

Distinct2409
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Memory size42.1 KiB
2024-03-14T01:26:56.726155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length32
Mean length15.553654
Min length7

Characters and Unicode

Total characters83632
Distinct characters563
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique599 ?
Unique (%)11.1%

Sample

1st row108. 서교동 사거리
2nd row729. 서부식자재마트 건너편
3rd row729. 서부식자재마트 건너편
4th row731. 서울시 도로환경관리센터
5th row733. 신정이펜하우스314동
ValueCountFrequency (%)
앞 1427
 
9.0%
출구 232
 
1.5%
옆 202
 
1.3%
1번출구 167
 
1.1%
교차로 150
 
0.9%
사거리 120
 
0.8%
입구 114
 
0.7%
3번출구 106
 
0.7%
2번출구 105
 
0.7%
뒤 101
 
0.6%
Other values (4820) 13091
82.8%
2024-03-14T01:26:57.103231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10541
 
12.6%
. 5392
 
6.4%
1 4298
 
5.1%
2 3131
 
3.7%
3 2572
 
3.1%
4 2552
 
3.1%
5 2040
 
2.4%
0 1987
 
2.4%
6 1872
 
2.2%
7 1780
 
2.1%
Other values (553) 47467
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43022
51.4%
Decimal Number 23068
27.6%
Space Separator 10541
 
12.6%
Other Punctuation 5453
 
6.5%
Uppercase Letter 624
 
0.7%
Open Punctuation 393
 
0.5%
Close Punctuation 393
 
0.5%
Lowercase Letter 78
 
0.1%
Dash Punctuation 45
 
0.1%
Connector Punctuation 5
 
< 0.1%
Other values (2) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1752
 
4.1%
앞 1660
 
3.9%
역 1383
 
3.2%
번 1212
 
2.8%
동 1186
 
2.8%
출 1185
 
2.8%
교 902
 
2.1%
파 806
 
1.9%
아 788
 
1.8%
트 726
 
1.7%
Other values (492) 31422
73.0%
Uppercase Letter
ValueCountFrequency (%)
S 79
12.7%
K 65
10.4%
T 59
9.5%
C 58
9.3%
A 53
 
8.5%
G 42
 
6.7%
D 38
 
6.1%
B 33
 
5.3%
M 32
 
5.1%
P 30
 
4.8%
Other values (14) 135
21.6%
Lowercase Letter
ValueCountFrequency (%)
e 29
37.2%
k 12
15.4%
s 11
 
14.1%
n 6
 
7.7%
t 4
 
5.1%
l 3
 
3.8%
y 3
 
3.8%
h 2
 
2.6%
v 2
 
2.6%
r 2
 
2.6%
Other values (3) 4
 
5.1%
Decimal Number
ValueCountFrequency (%)
1 4298
18.6%
2 3131
13.6%
3 2572
11.1%
4 2552
11.1%
5 2040
8.8%
0 1987
8.6%
6 1872
8.1%
7 1780
7.7%
8 1531
 
6.6%
9 1305
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 5392
98.9%
, 40
 
0.7%
& 12
 
0.2%
? 5
 
0.1%
· 4
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
+ 1
 
20.0%
Other Number
ValueCountFrequency (%)
① 3
60.0%
② 2
40.0%
Space Separator
ValueCountFrequency (%)
10541
100.0%
Open Punctuation
ValueCountFrequency (%)
( 393
100.0%
Close Punctuation
ValueCountFrequency (%)
) 393
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43022
51.4%
Common 39908
47.7%
Latin 702
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1752
 
4.1%
앞 1660
 
3.9%
역 1383
 
3.2%
번 1212
 
2.8%
동 1186
 
2.8%
출 1185
 
2.8%
교 902
 
2.1%
파 806
 
1.9%
아 788
 
1.8%
트 726
 
1.7%
Other values (492) 31422
73.0%
Latin
ValueCountFrequency (%)
S 79
 
11.3%
K 65
 
9.3%
T 59
 
8.4%
C 58
 
8.3%
A 53
 
7.5%
G 42
 
6.0%
D 38
 
5.4%
B 33
 
4.7%
M 32
 
4.6%
P 30
 
4.3%
Other values (27) 213
30.3%
Common
ValueCountFrequency (%)
10541
26.4%
. 5392
13.5%
1 4298
10.8%
2 3131
 
7.8%
3 2572
 
6.4%
4 2552
 
6.4%
5 2040
 
5.1%
0 1987
 
5.0%
6 1872
 
4.7%
7 1780
 
4.5%
Other values (14) 3743
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43022
51.4%
ASCII 40601
48.5%
Enclosed Alphanum 5
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10541
26.0%
. 5392
13.3%
1 4298
10.6%
2 3131
 
7.7%
3 2572
 
6.3%
4 2552
 
6.3%
5 2040
 
5.0%
0 1987
 
4.9%
6 1872
 
4.6%
7 1780
 
4.4%
Other values (48) 4436
10.9%
Hangul
ValueCountFrequency (%)
구 1752
 
4.1%
앞 1660
 
3.9%
역 1383
 
3.2%
번 1212
 
2.8%
동 1186
 
2.8%
출 1185
 
2.8%
교 902
 
2.1%
파 806
 
1.9%
아 788
 
1.8%
트 726
 
1.7%
Other values (492) 31422
73.0%
None
ValueCountFrequency (%)
· 4
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 3
60.0%
② 2
40.0%

대여구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.1 KiB
정기권
5377 

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 5377
100.0%

Length

2024-03-14T01:26:57.216422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:26:57.302046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기권 5377
100.0%

성별
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5377
Missing (%)100.0%
Memory size47.4 KiB

연령대
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.1 KiB
20대
2627 
30대
1949 
~10대
646 
40대
 
155

Length

Max length4
Median length3
Mean length3.1201413
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 2627
48.9%
30대 1949
36.2%
~10대 646
 
12.0%
40대 155
 
2.9%

Length

2024-03-14T01:26:57.404777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:26:57.512469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20대 2627
48.9%
30대 1949
36.2%
10대 646
 
12.0%
40대 155
 
2.9%

이용건수
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8015622
Minimum1
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.4 KiB
2024-03-14T01:26:57.610063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile12
Maximum62
Range61
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.3959377
Coefficient of variation (CV)1.1563503
Kurtosis20.106627
Mean3.8015622
Median Absolute Deviation (MAD)1
Skewness3.5028919
Sum20441
Variance19.324268
MonotonicityNot monotonic
2024-03-14T01:26:57.726482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 1950
36.3%
2 959
17.8%
3 629
 
11.7%
4 416
 
7.7%
5 328
 
6.1%
6 246
 
4.6%
7 176
 
3.3%
8 135
 
2.5%
9 97
 
1.8%
10 80
 
1.5%
Other values (30) 361
 
6.7%
ValueCountFrequency (%)
1 1950
36.3%
2 959
17.8%
3 629
 
11.7%
4 416
 
7.7%
5 328
 
6.1%
6 246
 
4.6%
7 176
 
3.3%
8 135
 
2.5%
9 97
 
1.8%
10 80
 
1.5%
ValueCountFrequency (%)
62 1
 
< 0.1%
47 1
 
< 0.1%
44 1
 
< 0.1%
41 1
 
< 0.1%
39 1
 
< 0.1%
37 3
0.1%
35 1
 
< 0.1%
34 3
0.1%
33 4
0.1%
32 1
 
< 0.1%

운동량
Text

Distinct4871
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size42.1 KiB
2024-03-14T01:26:58.045126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5069741
Min length2

Characters and Unicode

Total characters29611
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

Unique4458 ?
Unique (%)82.9%

Sample

1st row58.21
2nd row56.28
3rd row50.29
4th row36.84
5th row140.22
ValueCountFrequency (%)
0.00 38
 
0.7%
21.62 6
 
0.1%
22.39 4
 
0.1%
25.09 4
 
0.1%
35.52 4
 
0.1%
n 4
 
0.1%
104.70 3
 
0.1%
61.20 3
 
0.1%
42.99 3
 
0.1%
24.71 3
 
0.1%
Other values (4861) 5305
98.7%
2024-03-14T01:26:58.444222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 5373
18.1%
1 3554
12.0%
2 2839
9.6%
3 2642
8.9%
4 2400
8.1%
5 2301
7.8%
6 2157
7.3%
8 2114
 
7.1%
0 2104
 
7.1%
7 2074
 
7.0%
Other values (3) 2053
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24230
81.8%
Other Punctuation 5377
 
18.2%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3554
14.7%
2 2839
11.7%
3 2642
10.9%
4 2400
9.9%
5 2301
9.5%
6 2157
8.9%
8 2114
8.7%
0 2104
8.7%
7 2074
8.6%
9 2045
8.4%
Other Punctuation
ValueCountFrequency (%)
. 5373
99.9%
\ 4
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29607
> 99.9%
Latin 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 5373
18.1%
1 3554
12.0%
2 2839
9.6%
3 2642
8.9%
4 2400
8.1%
5 2301
7.8%
6 2157
7.3%
8 2114
 
7.1%
0 2104
 
7.1%
7 2074
 
7.0%
Other values (2) 2049
 
6.9%
Latin
ValueCountFrequency (%)
N 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29611
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 5373
18.1%
1 3554
12.0%
2 2839
9.6%
3 2642
8.9%
4 2400
8.1%
5 2301
7.8%
6 2157
7.3%
8 2114
 
7.1%
0 2104
 
7.1%
7 2074
 
7.0%
Other values (3) 2053
 
6.9%

탄소량
Text

Distinct759
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size42.1 KiB
2024-03-14T01:26:58.780879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.0132044
Min length2

Characters and Unicode

Total characters21579
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

Unique240 ?
Unique (%)4.5%

Sample

1st row0.49
2nd row0.52
3rd row0.35
4th row0.40
5th row1.19
ValueCountFrequency (%)
0.21 54
 
1.0%
0.28 48
 
0.9%
0.19 48
 
0.9%
0.30 46
 
0.9%
0.16 46
 
0.9%
0.35 45
 
0.8%
0.48 44
 
0.8%
0.17 44
 
0.8%
0.29 41
 
0.8%
0.20 41
 
0.8%
Other values (749) 4920
91.5%
2024-03-14T01:26:59.212406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 5373
24.9%
0 3789
17.6%
1 2419
11.2%
2 1761
 
8.2%
3 1493
 
6.9%
4 1352
 
6.3%
5 1224
 
5.7%
6 1115
 
5.2%
7 1061
 
4.9%
8 1027
 
4.8%
Other values (3) 965
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16198
75.1%
Other Punctuation 5377
 
24.9%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3789
23.4%
1 2419
14.9%
2 1761
10.9%
3 1493
 
9.2%
4 1352
 
8.3%
5 1224
 
7.6%
6 1115
 
6.9%
7 1061
 
6.6%
8 1027
 
6.3%
9 957
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 5373
99.9%
\ 4
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21575
> 99.9%
Latin 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 5373
24.9%
0 3789
17.6%
1 2419
11.2%
2 1761
 
8.2%
3 1493
 
6.9%
4 1352
 
6.3%
5 1224
 
5.7%
6 1115
 
5.2%
7 1061
 
4.9%
8 1027
 
4.8%
Other values (2) 961
 
4.5%
Latin
ValueCountFrequency (%)
N 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21579
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 5373
24.9%
0 3789
17.6%
1 2419
11.2%
2 1761
 
8.2%
3 1493
 
6.9%
4 1352
 
6.3%
5 1224
 
5.7%
6 1115
 
5.2%
7 1061
 
4.9%
8 1027
 
4.8%
Other values (3) 965
 
4.5%

이동거리(M)
Real number (ℝ)

HIGH CORRELATION 

Distinct4765
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7542.0297
Minimum0
Maximum171529.15
Zeros38
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size47.4 KiB
2024-03-14T01:26:59.347715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile580
Q11780.87
median4098.17
Q39695.13
95-th percentile24905.486
Maximum171529.15
Range171529.15
Interquartile range (IQR)7914.26

Descriptive statistics

Standard deviation9866.8702
Coefficient of variation (CV)1.3082513
Kurtosis35.860403
Mean7542.0297
Median Absolute Deviation (MAD)2878.17
Skewness4.1921278
Sum40553494
Variance97355128
MonotonicityNot monotonic
2024-03-14T01:26:59.476823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 38
 
0.7%
1020.0 9
 
0.2%
830.0 8
 
0.1%
720.0 8
 
0.1%
690.0 8
 
0.1%
1200.0 7
 
0.1%
980.0 7
 
0.1%
1080.0 7
 
0.1%
570.0 7
 
0.1%
870.0 7
 
0.1%
Other values (4755) 5271
98.0%
ValueCountFrequency (%)
0.0 38
0.7%
0.1 1
 
< 0.1%
2.09 1
 
< 0.1%
40.0 1
 
< 0.1%
50.0 1
 
< 0.1%
50.22 1
 
< 0.1%
52.43 1
 
< 0.1%
70.0 1
 
< 0.1%
84.57 1
 
< 0.1%
88.16 1
 
< 0.1%
ValueCountFrequency (%)
171529.15 1
< 0.1%
145929.42 1
< 0.1%
137512.13 1
< 0.1%
93993.97 1
< 0.1%
92177.86 1
< 0.1%
83577.88 1
< 0.1%
75714.09 1
< 0.1%
74370.12 1
< 0.1%
72300.65 1
< 0.1%
71355.43 1
< 0.1%

이용시간(분)
Real number (ℝ)

HIGH CORRELATION 

Distinct377
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.594755
Minimum0
Maximum1142
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size47.4 KiB
2024-03-14T01:26:59.646676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q114
median33
Q377
95-th percentile205
Maximum1142
Range1142
Interquartile range (IQR)63

Descriptive statistics

Standard deviation80.582173
Coefficient of variation (CV)1.3298539
Kurtosis27.559028
Mean60.594755
Median Absolute Deviation (MAD)24
Skewness3.9395018
Sum325818
Variance6493.4866
MonotonicityNot monotonic
2024-03-14T01:26:59.849296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 139
 
2.6%
11 120
 
2.2%
6 119
 
2.2%
8 117
 
2.2%
16 114
 
2.1%
4 110
 
2.0%
7 110
 
2.0%
9 108
 
2.0%
3 106
 
2.0%
14 103
 
1.9%
Other values (367) 4231
78.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 31
 
0.6%
2 71
1.3%
3 106
2.0%
4 110
2.0%
5 139
2.6%
6 119
2.2%
7 110
2.0%
8 117
2.2%
9 108
2.0%
ValueCountFrequency (%)
1142 1
< 0.1%
1081 1
< 0.1%
1060 1
< 0.1%
838 1
< 0.1%
834 1
< 0.1%
784 1
< 0.1%
672 1
< 0.1%
663 1
< 0.1%
650 1
< 0.1%
648 1
< 0.1%

Interactions

2024-03-14T01:26:55.660360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:54.661161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:54.946309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:55.311781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:55.731417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:54.730135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:55.030558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:55.389662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:55.804603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:54.801954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:55.135046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:55.482294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:55.886533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:54.878055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:55.240026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:55.574742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T01:26:59.939777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여소번호연령대이용건수이동거리(M)이용시간(분)
대여소번호1.0000.1450.0600.0310.043
연령대0.1451.0000.2350.2920.215
이용건수0.0600.2351.0000.8150.884
이동거리(M)0.0310.2920.8151.0000.845
이용시간(분)0.0430.2150.8840.8451.000
2024-03-14T01:27:00.037748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여소번호이용건수이동거리(M)이용시간(분)연령대
대여소번호1.000-0.062-0.068-0.0900.087
이용건수-0.0621.0000.8210.8170.152
이동거리(M)-0.0680.8211.0000.9250.134
이용시간(분)-0.0900.8170.9251.0000.139
연령대0.0870.1520.1340.1391.000

Missing values

2024-03-14T01:26:55.986802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T01:26:56.114929image/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)
02022-10-01108108. 서교동 사거리정기권<NA>~10대158.210.492100.022
12022-10-01729729. 서부식자재마트 건너편정기권<NA>~10대156.280.522256.0216
22022-10-01729729. 서부식자재마트 건너편정기권<NA>~10대150.290.351530.014
32022-10-01731731. 서울시 도로환경관리센터정기권<NA>~10대236.840.401733.1113
42022-10-01733733. 신정이펜하우스314동정기권<NA>~10대2140.221.195131.732
52022-10-01735735. 영도초등학교정기권<NA>~10대6240.262.3910267.77116
62022-10-01736736. 오솔길공원정기권<NA>~10대3187.861.506472.5877
72022-10-01739739. 신월사거리정기권<NA>~10대150.680.552369.9418
82022-10-01740740. 으뜸공원정기권<NA>~10대189.970.662840.018
92022-10-01746746. 목동2단지 상가정기권<NA>~10대6172.831.847906.6456
대여일자대여소번호대여소대여구분코드성별연령대이용건수운동량탄소량이동거리(M)이용시간(분)
53672022-10-0121652165. JK장평타워정기권<NA>40대2114.301.195118.8138
53682022-10-0121672167. 낙성대역 1번출구정기권<NA>40대128.470.261106.194
53692022-10-0135183518. 군자역 7번출구뒤정기권<NA>40대398.021.014363.0945
53702022-10-0121702170. 조원동 강남힐병원정기권<NA>40대2239.411.556695.7340
53712022-10-0121742174. 삼성디지털프라자관악점정기권<NA>40대147.520.281200.062
53722022-10-0121752175. 신림동걷고싶은문화의거리입구정기권<NA>40대2102.630.692971.9919
53732022-10-0135163516. 구의아리수정수센터앞정기권<NA>40대127.440.291260.035
53742022-10-0119831983. 구로동롯데아파트정기권<NA>40대122.010.231010.498
53752022-10-0119841984. 구로구청정기권<NA>40대179.080.642773.5213
53762022-10-0116611661. 당현천근린공원정기권<NA>40대3290.692.189393.8674