Overview

Dataset statistics

Number of variables11
Number of observations5900
Missing cells5900
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory536.0 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 5900 (100.0%) missing valuesMissing
성별 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-13 16:26:46.602421
Analysis finished2024-03-13 16:26:49.010412
Duration2.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대여일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size46.2 KiB
Minimum2022-11-01 00:00:00
Maximum2022-11-01 00:00:00
2024-03-14T01:26:49.044931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:49.113373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

대여소번호
Real number (ℝ)

Distinct2480
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2166.1166
Minimum102
Maximum6053
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size52.0 KiB
2024-03-14T01:26:49.204234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum102
5-th percentile245
Q1922
median1772
Q33548
95-th percentile4813
Maximum6053
Range5951
Interquartile range (IQR)2626

Descriptive statistics

Standard deviation1500.9466
Coefficient of variation (CV)0.69292048
Kurtosis-0.95827461
Mean2166.1166
Median Absolute Deviation (MAD)1041
Skewness0.51688191
Sum12780088
Variance2252840.6
MonotonicityNot monotonic
2024-03-14T01:26:49.318454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
739 6
 
0.1%
3541 6
 
0.1%
731 5
 
0.1%
1684 5
 
0.1%
3534 5
 
0.1%
456 5
 
0.1%
2505 5
 
0.1%
2177 5
 
0.1%
243 5
 
0.1%
1182 5
 
0.1%
Other values (2470) 5848
99.1%
ValueCountFrequency (%)
102 4
0.1%
103 3
0.1%
104 2
< 0.1%
105 2
< 0.1%
106 2
< 0.1%
107 2
< 0.1%
108 3
0.1%
109 1
 
< 0.1%
111 3
0.1%
112 1
 
< 0.1%
ValueCountFrequency (%)
6053 2
< 0.1%
5859 2
< 0.1%
5858 3
0.1%
5857 2
< 0.1%
5855 3
0.1%
5854 2
< 0.1%
5853 3
0.1%
5852 2
< 0.1%
5851 2
< 0.1%
5765 3
0.1%

대여소
Text

Distinct2480
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Memory size46.2 KiB
2024-03-14T01:26:49.544525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length32
Mean length15.594746
Min length7

Characters and Unicode

Total characters92009
Distinct characters575
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

Unique467 ?
Unique (%)7.9%

Sample

1st row731. 서울시 도로환경관리센터
2nd row732. 신월중학교
3rd row733. 신정이펜하우스314동
4th row735. 영도초등학교
5th row736. 오솔길공원
ValueCountFrequency (%)
앞 1535
 
8.9%
출구 249
 
1.4%
옆 215
 
1.2%
1번출구 172
 
1.0%
교차로 159
 
0.9%
입구 130
 
0.8%
사거리 121
 
0.7%
뒤 116
 
0.7%
3번출구 113
 
0.7%
2번출구 112
 
0.7%
Other values (4979) 14308
83.0%
2024-03-14T01:26:49.892262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11445
 
12.4%
. 5910
 
6.4%
1 4633
 
5.0%
2 3492
 
3.8%
3 2818
 
3.1%
4 2812
 
3.1%
5 2303
 
2.5%
0 2155
 
2.3%
6 2045
 
2.2%
7 1952
 
2.1%
Other values (565) 52444
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47438
51.6%
Decimal Number 25335
27.5%
Space Separator 11445
 
12.4%
Other Punctuation 5984
 
6.5%
Uppercase Letter 694
 
0.8%
Open Punctuation 484
 
0.5%
Close Punctuation 484
 
0.5%
Lowercase Letter 80
 
0.1%
Dash Punctuation 46
 
< 0.1%
Connector Punctuation 6
 
< 0.1%
Other values (3) 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1881
 
4.0%
앞 1800
 
3.8%
역 1469
 
3.1%
동 1348
 
2.8%
번 1282
 
2.7%
출 1258
 
2.7%
교 1005
 
2.1%
파 876
 
1.8%
아 858
 
1.8%
트 795
 
1.7%
Other values (503) 34866
73.5%
Uppercase Letter
ValueCountFrequency (%)
S 80
11.5%
K 75
10.8%
T 68
9.8%
C 66
9.5%
A 51
 
7.3%
D 46
 
6.6%
G 44
 
6.3%
B 42
 
6.1%
I 35
 
5.0%
M 31
 
4.5%
Other values (14) 156
22.5%
Lowercase Letter
ValueCountFrequency (%)
e 26
32.5%
s 12
15.0%
k 11
13.8%
n 6
 
7.5%
t 4
 
5.0%
y 3
 
3.8%
l 3
 
3.8%
h 3
 
3.8%
r 3
 
3.8%
f 3
 
3.8%
Other values (3) 6
 
7.5%
Decimal Number
ValueCountFrequency (%)
1 4633
18.3%
2 3492
13.8%
3 2818
11.1%
4 2812
11.1%
5 2303
9.1%
0 2155
8.5%
6 2045
8.1%
7 1952
7.7%
8 1668
 
6.6%
9 1457
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 5910
98.8%
, 48
 
0.8%
& 16
 
0.3%
? 6
 
0.1%
· 4
 
0.1%
Other Number
ValueCountFrequency (%)
① 4
80.0%
② 1
 
20.0%
Math Symbol
ValueCountFrequency (%)
~ 3
60.0%
+ 2
40.0%
Space Separator
ValueCountFrequency (%)
11445
100.0%
Open Punctuation
ValueCountFrequency (%)
( 484
100.0%
Close Punctuation
ValueCountFrequency (%)
) 484
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47441
51.6%
Common 43794
47.6%
Latin 774
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1881
 
4.0%
앞 1800
 
3.8%
역 1469
 
3.1%
동 1348
 
2.8%
번 1282
 
2.7%
출 1258
 
2.7%
교 1005
 
2.1%
파 876
 
1.8%
아 858
 
1.8%
트 795
 
1.7%
Other values (504) 34869
73.5%
Latin
ValueCountFrequency (%)
S 80
 
10.3%
K 75
 
9.7%
T 68
 
8.8%
C 66
 
8.5%
A 51
 
6.6%
D 46
 
5.9%
G 44
 
5.7%
B 42
 
5.4%
I 35
 
4.5%
M 31
 
4.0%
Other values (27) 236
30.5%
Common
ValueCountFrequency (%)
11445
26.1%
. 5910
13.5%
1 4633
10.6%
2 3492
 
8.0%
3 2818
 
6.4%
4 2812
 
6.4%
5 2303
 
5.3%
0 2155
 
4.9%
6 2045
 
4.7%
7 1952
 
4.5%
Other values (14) 4229
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47438
51.6%
ASCII 44559
48.4%
None 7
 
< 0.1%
Enclosed Alphanum 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11445
25.7%
. 5910
13.3%
1 4633
10.4%
2 3492
 
7.8%
3 2818
 
6.3%
4 2812
 
6.3%
5 2303
 
5.2%
0 2155
 
4.8%
6 2045
 
4.6%
7 1952
 
4.4%
Other values (48) 4994
11.2%
Hangul
ValueCountFrequency (%)
구 1881
 
4.0%
앞 1800
 
3.8%
역 1469
 
3.1%
동 1348
 
2.8%
번 1282
 
2.7%
출 1258
 
2.7%
교 1005
 
2.1%
파 876
 
1.8%
아 858
 
1.8%
트 795
 
1.7%
Other values (503) 34866
73.5%
None
ValueCountFrequency (%)
· 4
57.1%
㈜ 3
42.9%
Enclosed Alphanum
ValueCountFrequency (%)
① 4
80.0%
② 1
 
20.0%

대여구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size46.2 KiB
정기권
5900 

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 5900
100.0%

Length

2024-03-14T01:26:50.000932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:26:50.070670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기권 5900
100.0%

성별
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5900
Missing (%)100.0%
Memory size52.0 KiB

연령대
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size46.2 KiB
20대
2844 
30대
2345 
~10대
664 
40대
 
47

Length

Max length4
Median length3
Mean length3.1125424
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 2844
48.2%
30대 2345
39.7%
~10대 664
 
11.3%
40대 47
 
0.8%

Length

2024-03-14T01:26:50.145230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:26:50.228526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20대 2844
48.2%
30대 2345
39.7%
10대 664
 
11.3%
40대 47
 
0.8%

이용건수
Real number (ℝ)

HIGH CORRELATION 

Distinct43
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0591525
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size52.0 KiB
2024-03-14T01:26:50.316656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile13
Maximum76
Range75
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.8145179
Coefficient of variation (CV)1.1860894
Kurtosis21.291652
Mean4.0591525
Median Absolute Deviation (MAD)1
Skewness3.4749022
Sum23949
Variance23.179582
MonotonicityNot monotonic
2024-03-14T01:26:50.421564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 2150
36.4%
2 1006
17.1%
3 596
 
10.1%
4 473
 
8.0%
5 348
 
5.9%
6 258
 
4.4%
7 209
 
3.5%
8 166
 
2.8%
9 120
 
2.0%
10 100
 
1.7%
Other values (33) 474
 
8.0%
ValueCountFrequency (%)
1 2150
36.4%
2 1006
17.1%
3 596
 
10.1%
4 473
 
8.0%
5 348
 
5.9%
6 258
 
4.4%
7 209
 
3.5%
8 166
 
2.8%
9 120
 
2.0%
10 100
 
1.7%
ValueCountFrequency (%)
76 1
 
< 0.1%
49 1
 
< 0.1%
48 1
 
< 0.1%
47 1
 
< 0.1%
44 1
 
< 0.1%
43 1
 
< 0.1%
41 1
 
< 0.1%
38 3
0.1%
35 4
0.1%
34 2
< 0.1%

운동량
Text

Distinct5266
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size46.2 KiB
2024-03-14T01:26:50.744589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5047458
Min length2

Characters and Unicode

Total characters32478
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

Unique4760 ?
Unique (%)80.7%

Sample

1st row22.66
2nd row32.65
3rd row77.39
4th row76.55
5th row80.80
ValueCountFrequency (%)
0.00 44
 
0.7%
21.69 5
 
0.1%
20.47 5
 
0.1%
12.36 5
 
0.1%
22.18 5
 
0.1%
23.17 5
 
0.1%
18.53 4
 
0.1%
58.69 4
 
0.1%
33.98 4
 
0.1%
60.43 4
 
0.1%
Other values (5256) 5815
98.6%
2024-03-14T01:26:51.158741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 5897
18.2%
1 3946
12.1%
2 3172
9.8%
3 2885
8.9%
4 2605
8.0%
5 2422
7.5%
6 2409
7.4%
7 2363
7.3%
0 2362
7.3%
8 2245
 
6.9%
Other values (3) 2172
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26575
81.8%
Other Punctuation 5900
 
18.2%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3946
14.8%
2 3172
11.9%
3 2885
10.9%
4 2605
9.8%
5 2422
9.1%
6 2409
9.1%
7 2363
8.9%
0 2362
8.9%
8 2245
8.4%
9 2166
8.2%
Other Punctuation
ValueCountFrequency (%)
. 5897
99.9%
\ 3
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32475
> 99.9%
Latin 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 5897
18.2%
1 3946
12.2%
2 3172
9.8%
3 2885
8.9%
4 2605
8.0%
5 2422
7.5%
6 2409
7.4%
7 2363
7.3%
0 2362
7.3%
8 2245
 
6.9%
Other values (2) 2169
 
6.7%
Latin
ValueCountFrequency (%)
N 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32478
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 5897
18.2%
1 3946
12.1%
2 3172
9.8%
3 2885
8.9%
4 2605
8.0%
5 2422
7.5%
6 2409
7.4%
7 2363
7.3%
0 2362
7.3%
8 2245
 
6.9%
Other values (3) 2172
 
6.7%

탄소량
Text

Distinct763
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size46.2 KiB
2024-03-14T01:26:51.499957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.0079661
Min length2

Characters and Unicode

Total characters23647
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

Unique217 ?
Unique (%)3.7%

Sample

1st row0.18
2nd row0.29
3rd row0.68
4th row0.93
5th row0.63
ValueCountFrequency (%)
0.19 70
 
1.2%
0.31 62
 
1.1%
0.22 56
 
0.9%
0.28 54
 
0.9%
0.29 54
 
0.9%
0.20 54
 
0.9%
0.26 52
 
0.9%
0.16 52
 
0.9%
0.24 51
 
0.9%
0.32 50
 
0.8%
Other values (753) 5345
90.6%
2024-03-14T01:26:51.973601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 5897
24.9%
0 4194
17.7%
1 2681
11.3%
2 2088
 
8.8%
3 1679
 
7.1%
4 1411
 
6.0%
5 1285
 
5.4%
6 1201
 
5.1%
8 1093
 
4.6%
9 1056
 
4.5%
Other values (3) 1062
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17744
75.0%
Other Punctuation 5900
 
25.0%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4194
23.6%
1 2681
15.1%
2 2088
11.8%
3 1679
9.5%
4 1411
 
8.0%
5 1285
 
7.2%
6 1201
 
6.8%
8 1093
 
6.2%
9 1056
 
6.0%
7 1056
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 5897
99.9%
\ 3
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23644
> 99.9%
Latin 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 5897
24.9%
0 4194
17.7%
1 2681
11.3%
2 2088
 
8.8%
3 1679
 
7.1%
4 1411
 
6.0%
5 1285
 
5.4%
6 1201
 
5.1%
8 1093
 
4.6%
9 1056
 
4.5%
Other values (2) 1059
 
4.5%
Latin
ValueCountFrequency (%)
N 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23647
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 5897
24.9%
0 4194
17.7%
1 2681
11.3%
2 2088
 
8.8%
3 1679
 
7.1%
4 1411
 
6.0%
5 1285
 
5.4%
6 1201
 
5.1%
8 1093
 
4.6%
9 1056
 
4.5%
Other values (3) 1062
 
4.5%

이동거리(M)
Real number (ℝ)

HIGH CORRELATION 

Distinct5061
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7292.1087
Minimum0
Maximum110354.78
Zeros46
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size52.0 KiB
2024-03-14T01:26:52.092381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile582.466
Q11638.0575
median4101.47
Q39444.385
95-th percentile24496.815
Maximum110354.78
Range110354.78
Interquartile range (IQR)7806.3275

Descriptive statistics

Standard deviation8918.4806
Coefficient of variation (CV)1.2230318
Kurtosis15.431854
Mean7292.1087
Median Absolute Deviation (MAD)2949.865
Skewness3.0364795
Sum43023441
Variance79539296
MonotonicityNot monotonic
2024-03-14T01:26:52.192468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 46
 
0.8%
1320.0 11
 
0.2%
800.0 11
 
0.2%
630.0 11
 
0.2%
880.0 11
 
0.2%
1330.0 10
 
0.2%
1800.0 10
 
0.2%
600.0 9
 
0.2%
1030.0 8
 
0.1%
900.0 8
 
0.1%
Other values (5051) 5765
97.7%
ValueCountFrequency (%)
0.0 46
0.8%
0.1 1
 
< 0.1%
4.45 1
 
< 0.1%
27.68 1
 
< 0.1%
64.18 1
 
< 0.1%
70.0 1
 
< 0.1%
71.0 1
 
< 0.1%
75.55 1
 
< 0.1%
88.16 1
 
< 0.1%
88.27 1
 
< 0.1%
ValueCountFrequency (%)
110354.78 1
< 0.1%
108216.88 1
< 0.1%
82970.19 1
< 0.1%
82632.12 1
< 0.1%
81032.12 1
< 0.1%
78012.71 1
< 0.1%
74418.72 1
< 0.1%
69857.54 1
< 0.1%
65815.64 1
< 0.1%
63203.0 1
< 0.1%

이용시간(분)
Real number (ℝ)

HIGH CORRELATION 

Distinct353
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.054237
Minimum0
Maximum809
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size52.0 KiB
2024-03-14T01:26:52.311936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q112
median32
Q371
95-th percentile184
Maximum809
Range809
Interquartile range (IQR)59

Descriptive statistics

Standard deviation68.737804
Coefficient of variation (CV)1.248547
Kurtosis15.343825
Mean55.054237
Median Absolute Deviation (MAD)24
Skewness3.0953959
Sum324820
Variance4724.8857
MonotonicityNot monotonic
2024-03-14T01:26:52.423113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 178
 
3.0%
6 170
 
2.9%
4 165
 
2.8%
8 155
 
2.6%
5 152
 
2.6%
9 145
 
2.5%
3 138
 
2.3%
10 135
 
2.3%
13 117
 
2.0%
11 117
 
2.0%
Other values (343) 4428
75.1%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 29
 
0.5%
2 78
1.3%
3 138
2.3%
4 165
2.8%
5 152
2.6%
6 170
2.9%
7 178
3.0%
8 155
2.6%
9 145
2.5%
ValueCountFrequency (%)
809 1
< 0.1%
778 1
< 0.1%
702 1
< 0.1%
654 1
< 0.1%
633 1
< 0.1%
534 2
< 0.1%
526 1
< 0.1%
519 1
< 0.1%
516 1
< 0.1%
514 1
< 0.1%

Interactions

2024-03-14T01:26:48.438410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:47.242356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:47.794672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:48.103834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:48.544978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:47.314993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:47.866624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:48.175902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:48.642628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:47.397503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:47.948526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:48.270252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:48.721644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:47.715683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:48.021610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T01:26:48.350621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T01:26:52.499711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여소번호연령대이용건수이동거리(M)이용시간(분)
대여소번호1.0000.1710.1040.0800.112
연령대0.1711.0000.2760.2140.236
이용건수0.1040.2761.0000.7920.822
이동거리(M)0.0800.2140.7921.0000.831
이용시간(분)0.1120.2360.8220.8311.000
2024-03-14T01:26:52.585440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여소번호이용건수이동거리(M)이용시간(분)연령대
대여소번호1.000-0.051-0.038-0.0460.103
이용건수-0.0511.0000.8370.8350.128
이동거리(M)-0.0380.8371.0000.9330.138
이용시간(분)-0.0460.8350.9331.0000.143
연령대0.1030.1280.1380.1431.000

Missing values

2024-03-14T01:26:48.830583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T01:26:48.955473image/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)
02022-11-01731731. 서울시 도로환경관리센터정기권<NA>~10대122.660.18773.3427
12022-11-01732732. 신월중학교정기권<NA>~10대132.650.291268.476
22022-11-01733733. 신정이펜하우스314동정기권<NA>~10대277.390.682923.013
32022-11-01735735. 영도초등학교정기권<NA>~10대376.550.934010.8826
42022-11-01736736. 오솔길공원정기권<NA>~10대280.800.632711.1513
52022-11-01739739. 신월사거리정기권<NA>~10대281.590.733170.016
62022-11-01746746. 목동2단지 상가정기권<NA>~10대349.820.582500.6115
72022-11-01746746. 목동2단지 상가정기권<NA>~10대173.630.863718.6922
82022-11-01747747. 목동3단지 상가정기권<NA>~10대112.360.14600.03
92022-11-01748748. 목동운동장정기권<NA>~10대123.710.19820.047
대여일자대여소번호대여소대여구분코드성별연령대이용건수운동량탄소량이동거리(M)이용시간(분)
58902022-11-0110311031. 올림픽로 836(아리수로)정기권<NA>40대1178.631.667160.025
58912022-11-0110321032. 선사고등학교정기권<NA>40대144.070.451918.6316
58922022-11-01508508. 성수아카데미타워 앞정기권<NA>40대381.460.823504.9320
58932022-11-01508508. 성수아카데미타워 앞정기권<NA>40대118.060.13570.015
58942022-11-0110331033. 고덕동 아남아파트정기권<NA>40대4241.092.179335.766
58952022-11-0110351035. 고덕역 4번출구정기권<NA>40대3235.031.988562.3241
58962022-11-0110361036. 고덕동 주양쇼핑정기권<NA>40대124.970.291261.217
58972022-11-0110381038. 강일 다솜 어린이 공원정기권<NA>40대1120.760.743210.06
58982022-11-0110411041. 묘곡초등학교정기권<NA>40대1194.541.526550.024
58992022-11-01509509. 이마트 버스정류소 옆정기권<NA>40대111048.048.4636469.5228