Overview

Dataset statistics

Number of variables11
Number of observations5525
Missing cells5525
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory501.9 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 5525 (100.0%) missing valuesMissing
성별 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-13 16:29:06.906769
Analysis finished2024-03-13 16:29:09.268880
Duration2.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대여일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
Minimum2023-07-01 00:00:00
Maximum2023-07-01 00:00:00
2024-03-14T01:29:09.304620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:29:09.375508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

대여소번호
Real number (ℝ)

Distinct2383
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2197.5111
Minimum102
Maximum6054
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-03-14T01:29:09.463010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum102
5-th percentile262
Q1941
median1762
Q33586
95-th percentile4861.6
Maximum6054
Range5952
Interquartile range (IQR)2645

Descriptive statistics

Standard deviation1528.8232
Coefficient of variation (CV)0.69570669
Kurtosis-0.93344891
Mean2197.5111
Median Absolute Deviation (MAD)1051
Skewness0.53088138
Sum12141249
Variance2337300.4
MonotonicityNot monotonic
2024-03-14T01:29:09.574021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1153 7
 
0.1%
731 6
 
0.1%
734 6
 
0.1%
1169 6
 
0.1%
1173 6
 
0.1%
1160 6
 
0.1%
956 6
 
0.1%
2622 6
 
0.1%
4218 6
 
0.1%
1029 6
 
0.1%
Other values (2373) 5464
98.9%
ValueCountFrequency (%)
102 3
0.1%
103 4
0.1%
104 3
0.1%
105 2
< 0.1%
106 3
0.1%
107 2
< 0.1%
108 4
0.1%
109 2
< 0.1%
111 1
 
< 0.1%
112 2
< 0.1%
ValueCountFrequency (%)
6054 3
0.1%
5867 2
< 0.1%
5866 3
0.1%
5865 2
< 0.1%
5864 2
< 0.1%
5862 4
0.1%
5861 2
< 0.1%
5860 1
 
< 0.1%
5859 3
0.1%
5858 4
0.1%

대여소
Text

Distinct2383
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
2024-03-14T01:29:09.781066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length15.604706
Min length7

Characters and Unicode

Total characters86216
Distinct characters567
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

Unique590 ?
Unique (%)10.7%

Sample

1st row731. 서울시 도로환경관리센터
2nd row734. 신트리공원 입구
3rd row735. 영도초등학교
4th row736. 오솔길공원
5th row743. 현대6차아파트 101동 옆
ValueCountFrequency (%)
앞 1447
 
8.9%
출구 242
 
1.5%
옆 190
 
1.2%
1번출구 172
 
1.1%
사거리 139
 
0.9%
교차로 138
 
0.8%
입구 123
 
0.8%
3번출구 120
 
0.7%
2번출구 112
 
0.7%
뒤 107
 
0.7%
Other values (4780) 13495
82.9%
2024-03-14T01:29:10.155401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10867
 
12.6%
. 5535
 
6.4%
1 4377
 
5.1%
2 3177
 
3.7%
3 2704
 
3.1%
4 2637
 
3.1%
5 2130
 
2.5%
0 1980
 
2.3%
6 1939
 
2.2%
구 1812
 
2.1%
Other values (557) 49058
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44418
51.5%
Decimal Number 23705
27.5%
Space Separator 10867
 
12.6%
Other Punctuation 5608
 
6.5%
Uppercase Letter 642
 
0.7%
Close Punctuation 423
 
0.5%
Open Punctuation 423
 
0.5%
Lowercase Letter 78
 
0.1%
Dash Punctuation 34
 
< 0.1%
Math Symbol 8
 
< 0.1%
Other values (3) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1812
 
4.1%
앞 1657
 
3.7%
역 1396
 
3.1%
번 1248
 
2.8%
출 1204
 
2.7%
동 1195
 
2.7%
교 931
 
2.1%
파 854
 
1.9%
아 826
 
1.9%
트 796
 
1.8%
Other values (496) 32499
73.2%
Uppercase Letter
ValueCountFrequency (%)
S 77
12.0%
A 68
10.6%
C 57
8.9%
T 56
8.7%
K 55
8.6%
B 51
 
7.9%
G 44
 
6.9%
D 39
 
6.1%
I 33
 
5.1%
M 32
 
5.0%
Other values (13) 130
20.2%
Lowercase Letter
ValueCountFrequency (%)
e 28
35.9%
s 13
16.7%
k 12
15.4%
n 4
 
5.1%
v 3
 
3.8%
t 3
 
3.8%
f 3
 
3.8%
r 3
 
3.8%
h 3
 
3.8%
l 2
 
2.6%
Other values (3) 4
 
5.1%
Decimal Number
ValueCountFrequency (%)
1 4377
18.5%
2 3177
13.4%
3 2704
11.4%
4 2637
11.1%
5 2130
9.0%
0 1980
8.4%
6 1939
8.2%
7 1784
7.5%
8 1600
 
6.7%
9 1377
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 5535
98.7%
, 52
 
0.9%
& 11
 
0.2%
? 7
 
0.1%
· 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 5
62.5%
+ 3
37.5%
Other Number
ValueCountFrequency (%)
② 2
50.0%
① 2
50.0%
Space Separator
ValueCountFrequency (%)
10867
100.0%
Close Punctuation
ValueCountFrequency (%)
) 423
100.0%
Open Punctuation
ValueCountFrequency (%)
( 423
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44419
51.5%
Common 41077
47.6%
Latin 720
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1812
 
4.1%
앞 1657
 
3.7%
역 1396
 
3.1%
번 1248
 
2.8%
출 1204
 
2.7%
동 1195
 
2.7%
교 931
 
2.1%
파 854
 
1.9%
아 826
 
1.9%
트 796
 
1.8%
Other values (497) 32500
73.2%
Latin
ValueCountFrequency (%)
S 77
 
10.7%
A 68
 
9.4%
C 57
 
7.9%
T 56
 
7.8%
K 55
 
7.6%
B 51
 
7.1%
G 44
 
6.1%
D 39
 
5.4%
I 33
 
4.6%
M 32
 
4.4%
Other values (26) 208
28.9%
Common
ValueCountFrequency (%)
10867
26.5%
. 5535
13.5%
1 4377
10.7%
2 3177
 
7.7%
3 2704
 
6.6%
4 2637
 
6.4%
5 2130
 
5.2%
0 1980
 
4.8%
6 1939
 
4.7%
7 1784
 
4.3%
Other values (14) 3947
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44418
51.5%
ASCII 41790
48.5%
None 4
 
< 0.1%
Enclosed Alphanum 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10867
26.0%
. 5535
13.2%
1 4377
10.5%
2 3177
 
7.6%
3 2704
 
6.5%
4 2637
 
6.3%
5 2130
 
5.1%
0 1980
 
4.7%
6 1939
 
4.6%
7 1784
 
4.3%
Other values (47) 4660
11.2%
Hangul
ValueCountFrequency (%)
구 1812
 
4.1%
앞 1657
 
3.7%
역 1396
 
3.1%
번 1248
 
2.8%
출 1204
 
2.7%
동 1195
 
2.7%
교 931
 
2.1%
파 854
 
1.9%
아 826
 
1.9%
트 796
 
1.8%
Other values (496) 32499
73.2%
None
ValueCountFrequency (%)
· 3
75.0%
㈜ 1
 
25.0%
Enclosed Alphanum
ValueCountFrequency (%)
② 2
50.0%
① 2
50.0%

대여구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
정기권
5525 

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 5525
100.0%

Length

2024-03-14T01:29:10.261285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:29:10.328483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기권 5525
100.0%

성별
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5525
Missing (%)100.0%
Memory size48.7 KiB

연령대
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
20대
2760 
30대
2153 
~10대
325 
40대
287 

Length

Max length4
Median length3
Mean length3.0588235
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 2760
50.0%
30대 2153
39.0%
~10대 325
 
5.9%
40대 287
 
5.2%

Length

2024-03-14T01:29:10.402866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:29:10.480103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20대 2760
50.0%
30대 2153
39.0%
10대 325
 
5.9%
40대 287
 
5.2%

이용건수
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0076018
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-03-14T01:29:10.596579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile9
Maximum42
Range41
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.2671782
Coefficient of variation (CV)1.0863068
Kurtosis16.574684
Mean3.0076018
Median Absolute Deviation (MAD)1
Skewness3.2297431
Sum16617
Variance10.674453
MonotonicityNot monotonic
2024-03-14T01:29:10.713374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 2430
44.0%
2 1060
19.2%
3 590
 
10.7%
4 381
 
6.9%
5 288
 
5.2%
6 189
 
3.4%
7 139
 
2.5%
8 106
 
1.9%
9 73
 
1.3%
10 61
 
1.1%
Other values (22) 208
 
3.8%
ValueCountFrequency (%)
1 2430
44.0%
2 1060
19.2%
3 590
 
10.7%
4 381
 
6.9%
5 288
 
5.2%
6 189
 
3.4%
7 139
 
2.5%
8 106
 
1.9%
9 73
 
1.3%
10 61
 
1.1%
ValueCountFrequency (%)
42 1
 
< 0.1%
37 1
 
< 0.1%
34 1
 
< 0.1%
30 1
 
< 0.1%
29 1
 
< 0.1%
27 1
 
< 0.1%
26 3
0.1%
25 1
 
< 0.1%
24 3
0.1%
23 1
 
< 0.1%

운동량
Text

Distinct4796
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
2024-03-14T01:29:11.009308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3942081
Min length2

Characters and Unicode

Total characters29803
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

Unique4247 ?
Unique (%)76.9%

Sample

1st row19.85
2nd row74.72
3rd row23.05
4th row17.76
5th row21.06
ValueCountFrequency (%)
0.00 56
 
1.0%
31.15 7
 
0.1%
n 6
 
0.1%
54.05 5
 
0.1%
22.91 4
 
0.1%
17.25 4
 
0.1%
27.28 4
 
0.1%
66.42 4
 
0.1%
19.93 4
 
0.1%
21.36 4
 
0.1%
Other values (4786) 5427
98.2%
2024-03-14T01:29:11.404067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 5519
18.5%
1 3497
11.7%
2 2930
9.8%
3 2649
8.9%
4 2439
8.2%
5 2298
7.7%
7 2236
7.5%
0 2191
 
7.4%
6 2123
 
7.1%
9 1963
 
6.6%
Other values (3) 1958
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24272
81.4%
Other Punctuation 5525
 
18.5%
Uppercase Letter 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3497
14.4%
2 2930
12.1%
3 2649
10.9%
4 2439
10.0%
5 2298
9.5%
7 2236
9.2%
0 2191
9.0%
6 2123
8.7%
9 1963
8.1%
8 1946
8.0%
Other Punctuation
ValueCountFrequency (%)
. 5519
99.9%
\ 6
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29797
> 99.9%
Latin 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 5519
18.5%
1 3497
11.7%
2 2930
9.8%
3 2649
8.9%
4 2439
8.2%
5 2298
7.7%
7 2236
7.5%
0 2191
 
7.4%
6 2123
 
7.1%
9 1963
 
6.6%
Other values (2) 1952
 
6.6%
Latin
ValueCountFrequency (%)
N 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29803
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 5519
18.5%
1 3497
11.7%
2 2930
9.8%
3 2649
8.9%
4 2439
8.2%
5 2298
7.7%
7 2236
7.5%
0 2191
 
7.4%
6 2123
 
7.1%
9 1963
 
6.6%
Other values (3) 1958
 
6.6%

탄소량
Text

Distinct614
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
2024-03-14T01:29:11.766472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.001448
Min length2

Characters and Unicode

Total characters22108
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

Unique173 ?
Unique (%)3.1%

Sample

1st row0.26
2nd row0.71
3rd row0.23
4th row0.19
5th row0.19
ValueCountFrequency (%)
0.22 67
 
1.2%
0.26 64
 
1.2%
0.19 62
 
1.1%
0.24 62
 
1.1%
0.23 62
 
1.1%
0.16 59
 
1.1%
0.00 58
 
1.0%
0.12 58
 
1.0%
0.21 56
 
1.0%
0.28 56
 
1.0%
Other values (604) 4921
89.1%
2024-03-14T01:29:12.228010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 5519
25.0%
0 4458
20.2%
1 2412
10.9%
2 1902
 
8.6%
3 1554
 
7.0%
4 1281
 
5.8%
5 1122
 
5.1%
6 1077
 
4.9%
8 958
 
4.3%
7 950
 
4.3%
Other values (3) 875
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16577
75.0%
Other Punctuation 5525
 
25.0%
Uppercase Letter 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4458
26.9%
1 2412
14.6%
2 1902
11.5%
3 1554
 
9.4%
4 1281
 
7.7%
5 1122
 
6.8%
6 1077
 
6.5%
8 958
 
5.8%
7 950
 
5.7%
9 863
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 5519
99.9%
\ 6
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22102
> 99.9%
Latin 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 5519
25.0%
0 4458
20.2%
1 2412
10.9%
2 1902
 
8.6%
3 1554
 
7.0%
4 1281
 
5.8%
5 1122
 
5.1%
6 1077
 
4.9%
8 958
 
4.3%
7 950
 
4.3%
Other values (2) 869
 
3.9%
Latin
ValueCountFrequency (%)
N 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22108
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 5519
25.0%
0 4458
20.2%
1 2412
10.9%
2 1902
 
8.6%
3 1554
 
7.0%
4 1281
 
5.8%
5 1122
 
5.1%
6 1077
 
4.9%
8 958
 
4.3%
7 950
 
4.3%
Other values (3) 875
 
4.0%

이동거리(M)
Real number (ℝ)

HIGH CORRELATION 

Distinct4556
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5526.7214
Minimum0
Maximum195235.59
Zeros54
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-03-14T01:29:12.372938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile492.916
Q11373.32
median3079.14
Q37029.8
95-th percentile18086.188
Maximum195235.59
Range195235.59
Interquartile range (IQR)5656.48

Descriptive statistics

Standard deviation7097.9222
Coefficient of variation (CV)1.2842916
Kurtosis101.08072
Mean5526.7214
Median Absolute Deviation (MAD)2115.99
Skewness5.7832643
Sum30535136
Variance50380499
MonotonicityNot monotonic
2024-03-14T01:29:12.484577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 54
 
1.0%
1750.0 10
 
0.2%
950.0 10
 
0.2%
1210.0 10
 
0.2%
520.0 9
 
0.2%
510.0 9
 
0.2%
980.0 9
 
0.2%
650.0 9
 
0.2%
1060.0 9
 
0.2%
870.0 8
 
0.1%
Other values (4546) 5388
97.5%
ValueCountFrequency (%)
0.0 54
1.0%
0.1 1
 
< 0.1%
2.08 1
 
< 0.1%
10.0 1
 
< 0.1%
16.87 1
 
< 0.1%
18.59 1
 
< 0.1%
20.39 1
 
< 0.1%
24.52 1
 
< 0.1%
38.03 1
 
< 0.1%
66.47 1
 
< 0.1%
ValueCountFrequency (%)
195235.59 1
< 0.1%
62093.49 1
< 0.1%
60953.81 1
< 0.1%
59134.87 1
< 0.1%
58829.77 1
< 0.1%
56311.84 1
< 0.1%
55402.61 1
< 0.1%
54006.89 1
< 0.1%
52091.31 1
< 0.1%
51251.93 1
< 0.1%

이용시간(분)
Real number (ℝ)

HIGH CORRELATION 

Distinct282
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.544615
Minimum0
Maximum1355
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-03-14T01:29:12.596922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median24
Q355
95-th percentile140.8
Maximum1355
Range1355
Interquartile range (IQR)45

Descriptive statistics

Standard deviation56.285205
Coefficient of variation (CV)1.3229689
Kurtosis69.469187
Mean42.544615
Median Absolute Deviation (MAD)17
Skewness5.2529585
Sum235059
Variance3168.0243
MonotonicityNot monotonic
2024-03-14T01:29:12.725238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 189
 
3.4%
5 179
 
3.2%
6 171
 
3.1%
11 161
 
2.9%
7 157
 
2.8%
3 157
 
2.8%
10 153
 
2.8%
9 153
 
2.8%
8 151
 
2.7%
2 117
 
2.1%
Other values (272) 3937
71.3%
ValueCountFrequency (%)
0 5
 
0.1%
1 43
 
0.8%
2 117
2.1%
3 157
2.8%
4 189
3.4%
5 179
3.2%
6 171
3.1%
7 157
2.8%
8 151
2.7%
9 153
2.8%
ValueCountFrequency (%)
1355 1
< 0.1%
699 1
< 0.1%
625 1
< 0.1%
583 1
< 0.1%
560 1
< 0.1%
527 1
< 0.1%
524 1
< 0.1%
459 1
< 0.1%
410 1
< 0.1%
400 1
< 0.1%

Interactions

2024-03-14T01:29:08.756898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:29:07.509945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:29:07.922848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:29:08.203405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:29:08.832659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:29:07.579603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:29:07.994354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:29:08.282479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:29:08.905375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:29:07.663224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:29:08.057293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:29:08.583369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:29:08.987848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:29:07.834863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:29:08.132246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:29:08.675183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T01:29:12.801670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여소번호연령대이용건수이동거리(M)이용시간(분)
대여소번호1.0000.1790.1350.0600.044
연령대0.1791.0000.1960.0820.094
이용건수0.1350.1961.0000.8960.756
이동거리(M)0.0600.0820.8961.0000.829
이용시간(분)0.0440.0940.7560.8291.000
2024-03-14T01:29:12.882742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여소번호이용건수이동거리(M)이용시간(분)연령대
대여소번호1.000-0.048-0.048-0.0590.108
이용건수-0.0481.0000.7750.7660.118
이동거리(M)-0.0480.7751.0000.9220.067
이용시간(분)-0.0590.7660.9221.0000.065
연령대0.1080.1180.0670.0651.000

Missing values

2024-03-14T01:29:09.094664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T01:29:09.216126image/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)
02023-07-01731731. 서울시 도로환경관리센터정기권<NA>~10대119.850.261113.648
12023-07-01734734. 신트리공원 입구정기권<NA>~10대174.720.713043.3124
22023-07-01735735. 영도초등학교정기권<NA>~10대123.050.23970.028
32023-07-01736736. 오솔길공원정기권<NA>~10대117.760.19830.395
42023-07-01743743. 현대6차아파트 101동 옆정기권<NA>~10대121.060.19818.266
52023-07-01747747. 목동3단지 상가정기권<NA>~10대132.970.301280.736
62023-07-01505505. 자양사거리 광진아크로텔 앞정기권<NA>~10대114.730.22930.07
72023-07-0110411041. 묘곡초등학교정기권<NA>~10대10.000.000.02
82023-07-0110441044. 굽은다리역정기권<NA>~10대244.450.441895.779
92023-07-0111511151. 마곡역1번출구정기권<NA>~10대157.100.381620.010
대여일자대여소번호대여소대여구분코드성별연령대이용건수운동량탄소량이동거리(M)이용시간(분)
55152023-07-0112951295. 잠실역 8번출구정기권<NA>40대126.090.251080.08
55162023-07-0112961296. 석촌호수교차로 (송파나루근린공원 앞)정기권<NA>40대122.800.23975.829
55172023-07-0113001300. 오륜사거리정기권<NA>40대277.400.773330.018
55182023-07-01343343. 힐스테이트창경궁 아파트 앞정기권<NA>40대124.970.18788.049
55192023-07-0126012601. 석촌호수 아뜰리에정기권<NA>40대3151.751.355850.2840
55202023-07-0126032603. 송파 글마루 도서관정기권<NA>40대10.000.000.02
55212023-07-0110561056. 강일리버파크 7~11단지정기권<NA>40대113.640.15650.05
55222023-07-0135253525. 금호스포츠센터앞정기권<NA>40대2165.551.496431.6533
55232023-07-01452452. 동대문 종합시장 버스정류장정기권<NA>40대1153.571.295540.044
55242023-07-01453453. 종로오가 지하쇼핑센터 14번출구정기권<NA>40대2134.601.144900.2832