Overview

Dataset statistics

Number of variables11
Number of observations4383
Missing cells4383
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory398.2 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/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 4383 (100.0%) missing valuesMissing
성별 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-18 04:47:52.930437
Analysis finished2024-05-18 04:48:00.335397
Duration7.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대여일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.4 KiB
Minimum2023-10-01 00:00:00
Maximum2023-10-01 00:00:00
2024-05-18T13:48:00.521113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:48:00.854035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

대여소번호
Real number (ℝ)

Distinct2279
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2196.3461
Minimum102
Maximum6054
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.7 KiB
2024-05-18T13:48:01.280877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum102
5-th percentile267.1
Q1942.5
median1814
Q33569.5
95-th percentile4808.9
Maximum6054
Range5952
Interquartile range (IQR)2627

Descriptive statistics

Standard deviation1501.6003
Coefficient of variation (CV)0.68368109
Kurtosis-0.96343402
Mean2196.3461
Median Absolute Deviation (MAD)1080
Skewness0.48889443
Sum9626585
Variance2254803.4
MonotonicityNot monotonic
2024-05-18T13:48:01.855923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1076 5
 
0.1%
2066 5
 
0.1%
2728 5
 
0.1%
1988 5
 
0.1%
2715 5
 
0.1%
792 5
 
0.1%
3760 5
 
0.1%
787 5
 
0.1%
1668 5
 
0.1%
1669 5
 
0.1%
Other values (2269) 4333
98.9%
ValueCountFrequency (%)
102 2
< 0.1%
103 2
< 0.1%
104 1
 
< 0.1%
105 2
< 0.1%
106 2
< 0.1%
107 1
 
< 0.1%
108 3
0.1%
109 2
< 0.1%
111 3
0.1%
112 1
 
< 0.1%
ValueCountFrequency (%)
6054 2
< 0.1%
5870 1
 
< 0.1%
5868 1
 
< 0.1%
5867 1
 
< 0.1%
5866 2
< 0.1%
5865 1
 
< 0.1%
5864 1
 
< 0.1%
5862 3
0.1%
5860 1
 
< 0.1%
5859 1
 
< 0.1%

대여소
Text

Distinct2279
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size34.4 KiB
2024-05-18T13:48:02.625931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length15.557381
Min length7

Characters and Unicode

Total characters68188
Distinct characters557
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

Unique957 ?
Unique (%)21.8%

Sample

1st row731. 서울시 도로환경관리센터
2nd row743. 현대6차아파트 101동 옆
3rd row746. 목동2단지 상가
4th row748. 목동운동장
5th row934. 신사동 성당
ValueCountFrequency (%)
앞 1132
 
8.9%
출구 203
 
1.6%
옆 156
 
1.2%
1번출구 133
 
1.0%
교차로 116
 
0.9%
입구 99
 
0.8%
사거리 93
 
0.7%
3번출구 90
 
0.7%
2번출구 85
 
0.7%
뒤 85
 
0.7%
Other values (4560) 10543
82.8%
2024-05-18T13:48:04.056191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8432
 
12.4%
. 4389
 
6.4%
1 3455
 
5.1%
2 2483
 
3.6%
4 2135
 
3.1%
3 2056
 
3.0%
5 1702
 
2.5%
6 1594
 
2.3%
0 1528
 
2.2%
7 1519
 
2.2%
Other values (547) 38895
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35156
51.6%
Decimal Number 18835
27.6%
Space Separator 8432
 
12.4%
Other Punctuation 4442
 
6.5%
Uppercase Letter 541
 
0.8%
Open Punctuation 335
 
0.5%
Close Punctuation 335
 
0.5%
Lowercase Letter 76
 
0.1%
Dash Punctuation 27
 
< 0.1%
Connector Punctuation 4
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1460
 
4.2%
앞 1303
 
3.7%
역 1124
 
3.2%
번 979
 
2.8%
동 964
 
2.7%
출 961
 
2.7%
교 726
 
2.1%
파 695
 
2.0%
아 674
 
1.9%
트 642
 
1.8%
Other values (489) 25628
72.9%
Uppercase Letter
ValueCountFrequency (%)
S 62
11.5%
A 60
11.1%
T 49
9.1%
B 48
8.9%
C 45
8.3%
K 42
 
7.8%
G 36
 
6.7%
D 34
 
6.3%
L 27
 
5.0%
I 26
 
4.8%
Other values (12) 112
20.7%
Lowercase Letter
ValueCountFrequency (%)
e 28
36.8%
k 11
 
14.5%
s 10
 
13.2%
n 8
 
10.5%
y 4
 
5.3%
l 4
 
5.3%
v 3
 
3.9%
t 3
 
3.9%
g 1
 
1.3%
a 1
 
1.3%
Other values (3) 3
 
3.9%
Decimal Number
ValueCountFrequency (%)
1 3455
18.3%
2 2483
13.2%
4 2135
11.3%
3 2056
10.9%
5 1702
9.0%
6 1594
8.5%
0 1528
8.1%
7 1519
8.1%
8 1245
 
6.6%
9 1118
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 4389
98.8%
, 33
 
0.7%
& 11
 
0.2%
? 6
 
0.1%
· 3
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 2
50.0%
+ 2
50.0%
Space Separator
ValueCountFrequency (%)
8432
100.0%
Open Punctuation
ValueCountFrequency (%)
( 335
100.0%
Close Punctuation
ValueCountFrequency (%)
) 335
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Other Number
ValueCountFrequency (%)
② 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35156
51.6%
Common 32415
47.5%
Latin 617
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1460
 
4.2%
앞 1303
 
3.7%
역 1124
 
3.2%
번 979
 
2.8%
동 964
 
2.7%
출 961
 
2.7%
교 726
 
2.1%
파 695
 
2.0%
아 674
 
1.9%
트 642
 
1.8%
Other values (489) 25628
72.9%
Latin
ValueCountFrequency (%)
S 62
 
10.0%
A 60
 
9.7%
T 49
 
7.9%
B 48
 
7.8%
C 45
 
7.3%
K 42
 
6.8%
G 36
 
5.8%
D 34
 
5.5%
e 28
 
4.5%
L 27
 
4.4%
Other values (25) 186
30.1%
Common
ValueCountFrequency (%)
8432
26.0%
. 4389
13.5%
1 3455
10.7%
2 2483
 
7.7%
4 2135
 
6.6%
3 2056
 
6.3%
5 1702
 
5.3%
6 1594
 
4.9%
0 1528
 
4.7%
7 1519
 
4.7%
Other values (13) 3122
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35156
51.6%
ASCII 33028
48.4%
None 3
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8432
25.5%
. 4389
13.3%
1 3455
10.5%
2 2483
 
7.5%
4 2135
 
6.5%
3 2056
 
6.2%
5 1702
 
5.2%
6 1594
 
4.8%
0 1528
 
4.6%
7 1519
 
4.6%
Other values (46) 3735
11.3%
Hangul
ValueCountFrequency (%)
구 1460
 
4.2%
앞 1303
 
3.7%
역 1124
 
3.2%
번 979
 
2.8%
동 964
 
2.7%
출 961
 
2.7%
교 726
 
2.1%
파 695
 
2.0%
아 674
 
1.9%
트 642
 
1.8%
Other values (489) 25628
72.9%
None
ValueCountFrequency (%)
· 3
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
② 1
100.0%

대여구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.4 KiB
정기권
4383 

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 4383
100.0%

Length

2024-05-18T13:48:04.550761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:48:04.862696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기권 4383
100.0%

성별
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4383
Missing (%)100.0%
Memory size38.7 KiB

연령대
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.4 KiB
20대
2848 
30대
1220 
~10대
315 

Length

Max length4
Median length3
Mean length3.0718686
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 2848
65.0%
30대 1220
27.8%
~10대 315
 
7.2%

Length

2024-05-18T13:48:05.350154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:48:05.691498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20대 2848
65.0%
30대 1220
27.8%
10대 315
 
7.2%

이용건수
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9399954
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.7 KiB
2024-05-18T13:48:06.168856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile9
Maximum39
Range38
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.1654953
Coefficient of variation (CV)1.0767007
Kurtosis22.382915
Mean2.9399954
Median Absolute Deviation (MAD)1
Skewness3.6515695
Sum12886
Variance10.02036
MonotonicityNot monotonic
2024-05-18T13:48:06.646982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1860
42.4%
2 932
21.3%
3 486
 
11.1%
4 305
 
7.0%
5 225
 
5.1%
6 136
 
3.1%
7 113
 
2.6%
8 88
 
2.0%
9 54
 
1.2%
10 47
 
1.1%
Other values (22) 137
 
3.1%
ValueCountFrequency (%)
1 1860
42.4%
2 932
21.3%
3 486
 
11.1%
4 305
 
7.0%
5 225
 
5.1%
6 136
 
3.1%
7 113
 
2.6%
8 88
 
2.0%
9 54
 
1.2%
10 47
 
1.1%
ValueCountFrequency (%)
39 1
 
< 0.1%
38 1
 
< 0.1%
36 1
 
< 0.1%
35 1
 
< 0.1%
32 1
 
< 0.1%
28 1
 
< 0.1%
27 1
 
< 0.1%
26 3
0.1%
24 3
0.1%
23 1
 
< 0.1%

운동량
Text

Distinct3940
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size34.4 KiB
2024-05-18T13:48:07.813091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4389687
Min length2

Characters and Unicode

Total characters23839
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

Unique3589 ?
Unique (%)81.9%

Sample

1st row66.36
2nd row49.43
3rd row77.30
4th row47.54
5th row36.66
ValueCountFrequency (%)
0.00 39
 
0.9%
20.07 5
 
0.1%
n 5
 
0.1%
24.12 4
 
0.1%
10.87 4
 
0.1%
19.56 4
 
0.1%
46.19 4
 
0.1%
19.01 4
 
0.1%
16.47 4
 
0.1%
30.49 4
 
0.1%
Other values (3930) 4306
98.2%
2024-05-18T13:48:09.614073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 4378
18.4%
1 2904
12.2%
2 2367
9.9%
3 2116
8.9%
4 1921
8.1%
6 1816
7.6%
5 1726
 
7.2%
7 1674
 
7.0%
0 1647
 
6.9%
9 1646
 
6.9%
Other values (3) 1644
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19451
81.6%
Other Punctuation 4383
 
18.4%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2904
14.9%
2 2367
12.2%
3 2116
10.9%
4 1921
9.9%
6 1816
9.3%
5 1726
8.9%
7 1674
8.6%
0 1647
8.5%
9 1646
8.5%
8 1634
8.4%
Other Punctuation
ValueCountFrequency (%)
. 4378
99.9%
\ 5
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23834
> 99.9%
Latin 5
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 4378
18.4%
1 2904
12.2%
2 2367
9.9%
3 2116
8.9%
4 1921
8.1%
6 1816
7.6%
5 1726
 
7.2%
7 1674
 
7.0%
0 1647
 
6.9%
9 1646
 
6.9%
Other values (2) 1639
 
6.9%
Latin
ValueCountFrequency (%)
N 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23839
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 4378
18.4%
1 2904
12.2%
2 2367
9.9%
3 2116
8.9%
4 1921
8.1%
6 1816
7.6%
5 1726
 
7.2%
7 1674
 
7.0%
0 1647
 
6.9%
9 1646
 
6.9%
Other values (3) 1644
 
6.9%

탄소량
Text

Distinct649
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size34.4 KiB
2024-05-18T13:48:10.838837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.0057039
Min length2

Characters and Unicode

Total characters17557
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

Unique220 ?
Unique (%)5.0%

Sample

1st row0.66
2nd row0.44
3rd row0.69
4th row0.61
5th row0.30
ValueCountFrequency (%)
0.17 51
 
1.2%
0.33 51
 
1.2%
0.22 46
 
1.0%
0.21 46
 
1.0%
0.18 45
 
1.0%
0.16 45
 
1.0%
0.28 44
 
1.0%
0.19 43
 
1.0%
0.29 41
 
0.9%
0.23 40
 
0.9%
Other values (639) 3931
89.7%
2024-05-18T13:48:12.763429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 4378
24.9%
0 3347
19.1%
1 2014
11.5%
2 1465
 
8.3%
3 1190
 
6.8%
4 1045
 
6.0%
5 932
 
5.3%
6 870
 
5.0%
7 801
 
4.6%
8 778
 
4.4%
Other values (3) 737
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13169
75.0%
Other Punctuation 4383
 
25.0%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3347
25.4%
1 2014
15.3%
2 1465
11.1%
3 1190
 
9.0%
4 1045
 
7.9%
5 932
 
7.1%
6 870
 
6.6%
7 801
 
6.1%
8 778
 
5.9%
9 727
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 4378
99.9%
\ 5
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17552
> 99.9%
Latin 5
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 4378
24.9%
0 3347
19.1%
1 2014
11.5%
2 1465
 
8.3%
3 1190
 
6.8%
4 1045
 
6.0%
5 932
 
5.3%
6 870
 
5.0%
7 801
 
4.6%
8 778
 
4.4%
Other values (2) 732
 
4.2%
Latin
ValueCountFrequency (%)
N 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17557
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 4378
24.9%
0 3347
19.1%
1 2014
11.5%
2 1465
 
8.3%
3 1190
 
6.8%
4 1045
 
6.0%
5 932
 
5.3%
6 870
 
5.0%
7 801
 
4.6%
8 778
 
4.4%
Other values (3) 737
 
4.2%

이동거리(M)
Real number (ℝ)

HIGH CORRELATION 

Distinct3822
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6353.2735
Minimum0
Maximum155177.27
Zeros39
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size38.7 KiB
2024-05-18T13:48:13.265768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile526.4
Q11500
median3471.17
Q37864.635
95-th percentile21740.18
Maximum155177.27
Range155177.27
Interquartile range (IQR)6364.635

Descriptive statistics

Standard deviation8650.7131
Coefficient of variation (CV)1.3616151
Kurtosis48.181
Mean6353.2735
Median Absolute Deviation (MAD)2421.42
Skewness4.9491695
Sum27846398
Variance74834837
MonotonicityNot monotonic
2024-05-18T13:48:13.900797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
 
0.9%
730.0 8
 
0.2%
680.0 8
 
0.2%
1420.0 8
 
0.2%
670.0 7
 
0.2%
720.0 7
 
0.2%
1000.0 7
 
0.2%
1290.0 6
 
0.1%
750.0 6
 
0.1%
1450.0 6
 
0.1%
Other values (3812) 4281
97.7%
ValueCountFrequency (%)
0.0 39
0.9%
11.35 1
 
< 0.1%
69.24 1
 
< 0.1%
80.0 1
 
< 0.1%
88.13 1
 
< 0.1%
88.15 1
 
< 0.1%
88.16 1
 
< 0.1%
88.18 1
 
< 0.1%
88.29 1
 
< 0.1%
110.0 2
 
< 0.1%
ValueCountFrequency (%)
155177.27 1
< 0.1%
136470.86 1
< 0.1%
97825.25 1
< 0.1%
88040.19 1
< 0.1%
86669.9 1
< 0.1%
83205.51 1
< 0.1%
81761.72 1
< 0.1%
79508.06 1
< 0.1%
77178.99 1
< 0.1%
76130.36 1
< 0.1%

이용시간(분)
Real number (ℝ)

HIGH CORRELATION 

Distinct291
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.232717
Minimum0
Maximum1099
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size38.7 KiB
2024-05-18T13:48:14.428743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median26
Q360
95-th percentile163
Maximum1099
Range1099
Interquartile range (IQR)49

Descriptive statistics

Standard deviation64.976334
Coefficient of variation (CV)1.3471423
Kurtosis39.079204
Mean48.232717
Median Absolute Deviation (MAD)19
Skewness4.5141471
Sum211404
Variance4221.9239
MonotonicityNot monotonic
2024-05-18T13:48:14.924681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 140
 
3.2%
7 134
 
3.1%
4 120
 
2.7%
10 118
 
2.7%
8 114
 
2.6%
5 112
 
2.6%
11 105
 
2.4%
3 101
 
2.3%
9 100
 
2.3%
14 96
 
2.2%
Other values (281) 3243
74.0%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 27
 
0.6%
2 81
1.8%
3 101
2.3%
4 120
2.7%
5 112
2.6%
6 140
3.2%
7 134
3.1%
8 114
2.6%
9 100
2.3%
ValueCountFrequency (%)
1099 1
< 0.1%
970 1
< 0.1%
695 1
< 0.1%
606 1
< 0.1%
582 1
< 0.1%
567 1
< 0.1%
566 1
< 0.1%
564 1
< 0.1%
532 1
< 0.1%
529 1
< 0.1%

Interactions

2024-05-18T13:47:57.609513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:54.290132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:55.262558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:56.389818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:58.147527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:54.516885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:55.540478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:56.683218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:58.498235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:54.708491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:55.832825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:56.998919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:58.888653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:55.005511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:56.139103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:57.325716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T13:48:15.297531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여소번호연령대이용건수이동거리(M)이용시간(분)
대여소번호1.0000.1770.1280.0520.059
연령대0.1771.0000.2470.2110.225
이용건수0.1280.2471.0000.8210.801
이동거리(M)0.0520.2110.8211.0000.965
이용시간(분)0.0590.2250.8010.9651.000
2024-05-18T13:48:15.626491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여소번호이용건수이동거리(M)이용시간(분)연령대
대여소번호1.000-0.022-0.024-0.0330.106
이용건수-0.0221.0000.7640.7620.152
이동거리(M)-0.0240.7641.0000.9240.094
이용시간(분)-0.0330.7620.9241.0000.101
연령대0.1060.1520.0940.1011.000

Missing values

2024-05-18T13:47:59.548702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T13:48:00.107258image/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)
02023-10-01731731. 서울시 도로환경관리센터정기권<NA>~10대366.360.662818.3322
12023-10-01743743. 현대6차아파트 101동 옆정기권<NA>~10대149.430.441891.4111
22023-10-01746746. 목동2단지 상가정기권<NA>~10대277.300.693003.3329
32023-10-01748748. 목동운동장정기권<NA>~10대147.540.612610.015
42023-10-01934934. 신사동 성당정기권<NA>~10대136.660.301303.916
52023-10-01937937. 상림마을 롯데캐슬2단지 옆정기권<NA>~10대120.510.18796.924
62023-10-01948948. 디지털미디어 시티역 4번출구(DMC역)정기권<NA>~10대128.350.21917.956
72023-10-0110241024. 강동구청 앞정기권<NA>~10대199.110.974171.2123
82023-10-0110441044. 굽은다리역정기권<NA>~10대140.150.361560.012
92023-10-0111501150. 송정역 1번출구정기권<NA>~10대117.270.21890.07
대여일자대여소번호대여소대여구분코드성별연령대이용건수운동량탄소량이동거리(M)이용시간(분)
43732023-10-0140364036. 하계역 6번출구정기권<NA>30대267.450.692955.8522
43742023-10-0144084408. 돌곶이역 앞정기권<NA>30대120.280.18788.046
43752023-10-0148644864. 송파사거리정기권<NA>30대6434.463.2213830.37121
43762023-10-0148654865. 한성백제역 1번출구 뒤정기권<NA>30대6351.052.9912885.08135
43772023-10-0148654865. 한성백제역 1번출구 뒤정기권<NA>30대267.650.532274.5412
43782023-10-0148674867. 가락대림아파트 앞정기권<NA>30대3176.991.777654.0761
43792023-10-0140774077. 도봉제1교정기권<NA>30대7632.026.1826612.45138
43802023-10-0140774077. 도봉제1교정기권<NA>30대1253.772.018660.035
43812023-10-01231231. 남부고용노동지청 남측정기권<NA>30대4154.201.315622.8347
43822023-10-0145764576.보라매sk뷰 108동 앞정기권<NA>30대2126.871.375908.5456