Overview

Dataset statistics

Number of variables11
Number of observations6057
Missing cells6057
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory550.2 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 6057 (100.0%) missing valuesMissing
성별 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-18 04:47:23.319630
Analysis finished2024-05-18 04:47:32.248190
Duration8.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대여일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.4 KiB
Minimum2023-11-01 00:00:00
Maximum2023-11-01 00:00:00
2024-05-18T13:47:32.378646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:32.714025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

대여소번호
Real number (ℝ)

Distinct2502
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2386.61
Minimum102
Maximum6055
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.4 KiB
2024-05-18T13:47:33.393659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum102
5-th percentile267.8
Q11010
median2084
Q33812
95-th percentile4915.4
Maximum6055
Range5953
Interquartile range (IQR)2802

Descriptive statistics

Standard deviation1596.3541
Coefficient of variation (CV)0.66887933
Kurtosis-1.151845
Mean2386.61
Median Absolute Deviation (MAD)1403
Skewness0.3419677
Sum14455697
Variance2548346.5
MonotonicityNot monotonic
2024-05-18T13:47:33.949049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
114 6
 
0.1%
3664 6
 
0.1%
2620 5
 
0.1%
765 5
 
0.1%
770 5
 
0.1%
383 5
 
0.1%
4217 5
 
0.1%
3202 5
 
0.1%
296 5
 
0.1%
2824 5
 
0.1%
Other values (2492) 6005
99.1%
ValueCountFrequency (%)
102 2
< 0.1%
103 1
 
< 0.1%
104 2
< 0.1%
105 1
 
< 0.1%
106 2
< 0.1%
107 2
< 0.1%
108 3
< 0.1%
109 2
< 0.1%
111 2
< 0.1%
112 2
< 0.1%
ValueCountFrequency (%)
6055 2
< 0.1%
6054 2
< 0.1%
6053 1
 
< 0.1%
5871 2
< 0.1%
5870 3
< 0.1%
5869 2
< 0.1%
5868 4
0.1%
5867 3
< 0.1%
5866 3
< 0.1%
5865 4
0.1%

대여소
Text

Distinct2502
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Memory size47.4 KiB
2024-05-18T13:47:34.874649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length32
Mean length15.584118
Min length7

Characters and Unicode

Total characters94393
Distinct characters575
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

Unique557 ?
Unique (%)9.2%

Sample

1st row733. 신정이펜하우스314동
2nd row746. 목동2단지 상가
3rd row948. 디지털미디어 시티역 4번출구(DMC역)
4th row1023. 한국종합기술사옥 앞
5th row1024. 강동구청 앞
ValueCountFrequency (%)
앞 1638
 
9.3%
출구 280
 
1.6%
옆 198
 
1.1%
1번출구 165
 
0.9%
교차로 154
 
0.9%
사거리 146
 
0.8%
입구 130
 
0.7%
3번출구 125
 
0.7%
뒤 112
 
0.6%
2번출구 111
 
0.6%
Other values (4998) 14598
82.7%
2024-05-18T13:47:36.351577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11713
 
12.4%
. 6068
 
6.4%
1 4438
 
4.7%
2 3451
 
3.7%
3 3068
 
3.3%
4 3036
 
3.2%
5 2439
 
2.6%
6 2099
 
2.2%
0 2082
 
2.2%
7 2017
 
2.1%
Other values (565) 53982
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48586
51.5%
Decimal Number 25996
27.5%
Space Separator 11713
 
12.4%
Other Punctuation 6147
 
6.5%
Uppercase Letter 846
 
0.9%
Open Punctuation 467
 
0.5%
Close Punctuation 467
 
0.5%
Lowercase Letter 122
 
0.1%
Dash Punctuation 37
 
< 0.1%
Math Symbol 6
 
< 0.1%
Other values (2) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1928
 
4.0%
앞 1886
 
3.9%
역 1496
 
3.1%
번 1306
 
2.7%
동 1291
 
2.7%
출 1284
 
2.6%
교 987
 
2.0%
파 937
 
1.9%
아 909
 
1.9%
트 851
 
1.8%
Other values (505) 35711
73.5%
Uppercase Letter
ValueCountFrequency (%)
A 83
9.8%
T 81
9.6%
K 80
9.5%
S 79
9.3%
C 68
 
8.0%
G 66
 
7.8%
B 65
 
7.7%
D 49
 
5.8%
L 45
 
5.3%
P 43
 
5.1%
Other values (14) 187
22.1%
Lowercase Letter
ValueCountFrequency (%)
e 43
35.2%
k 17
 
13.9%
s 17
 
13.9%
n 8
 
6.6%
t 7
 
5.7%
h 4
 
3.3%
f 4
 
3.3%
r 4
 
3.3%
v 4
 
3.3%
l 4
 
3.3%
Other values (3) 10
 
8.2%
Decimal Number
ValueCountFrequency (%)
1 4438
17.1%
2 3451
13.3%
3 3068
11.8%
4 3036
11.7%
5 2439
9.4%
6 2099
8.1%
0 2082
8.0%
7 2017
7.8%
8 1804
6.9%
9 1562
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 6068
98.7%
, 46
 
0.7%
& 22
 
0.4%
? 6
 
0.1%
· 5
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 4
66.7%
+ 2
33.3%
Space Separator
ValueCountFrequency (%)
11713
100.0%
Open Punctuation
ValueCountFrequency (%)
( 467
100.0%
Close Punctuation
ValueCountFrequency (%)
) 467
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Other Number
ValueCountFrequency (%)
② 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48586
51.5%
Common 44839
47.5%
Latin 968
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1928
 
4.0%
앞 1886
 
3.9%
역 1496
 
3.1%
번 1306
 
2.7%
동 1291
 
2.7%
출 1284
 
2.6%
교 987
 
2.0%
파 937
 
1.9%
아 909
 
1.9%
트 851
 
1.8%
Other values (505) 35711
73.5%
Latin
ValueCountFrequency (%)
A 83
 
8.6%
T 81
 
8.4%
K 80
 
8.3%
S 79
 
8.2%
C 68
 
7.0%
G 66
 
6.8%
B 65
 
6.7%
D 49
 
5.1%
L 45
 
4.6%
e 43
 
4.4%
Other values (27) 309
31.9%
Common
ValueCountFrequency (%)
11713
26.1%
. 6068
13.5%
1 4438
 
9.9%
2 3451
 
7.7%
3 3068
 
6.8%
4 3036
 
6.8%
5 2439
 
5.4%
6 2099
 
4.7%
0 2082
 
4.6%
7 2017
 
4.5%
Other values (13) 4428
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48586
51.5%
ASCII 45801
48.5%
None 5
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11713
25.6%
. 6068
13.2%
1 4438
 
9.7%
2 3451
 
7.5%
3 3068
 
6.7%
4 3036
 
6.6%
5 2439
 
5.3%
6 2099
 
4.6%
0 2082
 
4.5%
7 2017
 
4.4%
Other values (48) 5390
11.8%
Hangul
ValueCountFrequency (%)
구 1928
 
4.0%
앞 1886
 
3.9%
역 1496
 
3.1%
번 1306
 
2.7%
동 1291
 
2.7%
출 1284
 
2.6%
교 987
 
2.0%
파 937
 
1.9%
아 909
 
1.9%
트 851
 
1.8%
Other values (505) 35711
73.5%
None
ValueCountFrequency (%)
· 5
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
② 1
100.0%

대여구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.4 KiB
정기권
6057 

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 6057
100.0%

Length

2024-05-18T13:47:37.007638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:47:37.465537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기권 6057
100.0%

성별
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6057
Missing (%)100.0%
Memory size53.4 KiB

연령대
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.4 KiB
20대
3496 
30대
2208 
~10대
353 

Length

Max length4
Median length3
Mean length3.0582797
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 3496
57.7%
30대 2208
36.5%
~10대 353
 
5.8%

Length

2024-05-18T13:47:37.848480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:47:38.247725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20대 3496
57.7%
30대 2208
36.5%
10대 353
 
5.8%

이용건수
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6813604
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.4 KiB
2024-05-18T13:47:38.761143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile12
Maximum66
Range65
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.3129522
Coefficient of variation (CV)1.1715648
Kurtosis23.140002
Mean3.6813604
Median Absolute Deviation (MAD)1
Skewness3.6453207
Sum22298
Variance18.601556
MonotonicityNot monotonic
2024-05-18T13:47:39.282336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 2248
37.1%
2 1185
19.6%
3 676
 
11.2%
4 453
 
7.5%
5 325
 
5.4%
6 248
 
4.1%
7 188
 
3.1%
8 148
 
2.4%
9 101
 
1.7%
10 82
 
1.4%
Other values (30) 403
 
6.7%
ValueCountFrequency (%)
1 2248
37.1%
2 1185
19.6%
3 676
 
11.2%
4 453
 
7.5%
5 325
 
5.4%
6 248
 
4.1%
7 188
 
3.1%
8 148
 
2.4%
9 101
 
1.7%
10 82
 
1.4%
ValueCountFrequency (%)
66 1
 
< 0.1%
57 1
 
< 0.1%
40 3
< 0.1%
38 1
 
< 0.1%
37 2
< 0.1%
36 3
< 0.1%
34 1
 
< 0.1%
33 2
< 0.1%
32 2
< 0.1%
31 1
 
< 0.1%

운동량
Text

Distinct5337
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size47.4 KiB
2024-05-18T13:47:40.427472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.4576523
Min length2

Characters and Unicode

Total characters33057
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

Unique4783 ?
Unique (%)79.0%

Sample

1st row5.74
2nd row113.41
3rd row9.31
4th row8.45
5th row28.04
ValueCountFrequency (%)
0.00 54
 
0.9%
n 19
 
0.3%
16.99 5
 
0.1%
87.26 5
 
0.1%
18.79 5
 
0.1%
26.00 4
 
0.1%
29.86 4
 
0.1%
39.00 4
 
0.1%
32.67 4
 
0.1%
35.68 4
 
0.1%
Other values (5327) 5949
98.2%
2024-05-18T13:47:41.821132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 6038
18.3%
1 3913
11.8%
2 3333
10.1%
3 2840
8.6%
4 2646
8.0%
5 2555
7.7%
6 2426
7.3%
0 2392
 
7.2%
7 2315
 
7.0%
9 2304
 
7.0%
Other values (3) 2295
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26981
81.6%
Other Punctuation 6057
 
18.3%
Uppercase Letter 19
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3913
14.5%
2 3333
12.4%
3 2840
10.5%
4 2646
9.8%
5 2555
9.5%
6 2426
9.0%
0 2392
8.9%
7 2315
8.6%
9 2304
8.5%
8 2257
8.4%
Other Punctuation
ValueCountFrequency (%)
. 6038
99.7%
\ 19
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
N 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33038
99.9%
Latin 19
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 6038
18.3%
1 3913
11.8%
2 3333
10.1%
3 2840
8.6%
4 2646
8.0%
5 2555
7.7%
6 2426
7.3%
0 2392
 
7.2%
7 2315
 
7.0%
9 2304
 
7.0%
Other values (2) 2276
 
6.9%
Latin
ValueCountFrequency (%)
N 19
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33057
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 6038
18.3%
1 3913
11.8%
2 3333
10.1%
3 2840
8.6%
4 2646
8.0%
5 2555
7.7%
6 2426
7.3%
0 2392
 
7.2%
7 2315
 
7.0%
9 2304
 
7.0%
Other values (3) 2295
 
6.9%

탄소량
Text

Distinct709
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size47.4 KiB
2024-05-18T13:47:42.901911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.9995047
Min length2

Characters and Unicode

Total characters24225
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

Unique222 ?
Unique (%)3.7%

Sample

1st row0.05
2nd row1.23
3rd row0.11
4th row0.09
5th row0.41
ValueCountFrequency (%)
0.00 57
 
0.9%
0.17 57
 
0.9%
0.18 56
 
0.9%
0.23 56
 
0.9%
0.24 56
 
0.9%
0.22 55
 
0.9%
0.42 55
 
0.9%
0.16 53
 
0.9%
0.27 53
 
0.9%
0.15 52
 
0.9%
Other values (699) 5507
90.9%
2024-05-18T13:47:45.151618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 6038
24.9%
0 4475
18.5%
1 2746
11.3%
2 2060
 
8.5%
3 1634
 
6.7%
4 1397
 
5.8%
5 1330
 
5.5%
6 1216
 
5.0%
7 1132
 
4.7%
8 1130
 
4.7%
Other values (3) 1067
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18149
74.9%
Other Punctuation 6057
 
25.0%
Uppercase Letter 19
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4475
24.7%
1 2746
15.1%
2 2060
11.4%
3 1634
 
9.0%
4 1397
 
7.7%
5 1330
 
7.3%
6 1216
 
6.7%
7 1132
 
6.2%
8 1130
 
6.2%
9 1029
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 6038
99.7%
\ 19
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
N 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24206
99.9%
Latin 19
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 6038
24.9%
0 4475
18.5%
1 2746
11.3%
2 2060
 
8.5%
3 1634
 
6.8%
4 1397
 
5.8%
5 1330
 
5.5%
6 1216
 
5.0%
7 1132
 
4.7%
8 1130
 
4.7%
Other values (2) 1048
 
4.3%
Latin
ValueCountFrequency (%)
N 19
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24225
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 6038
24.9%
0 4475
18.5%
1 2746
11.3%
2 2060
 
8.5%
3 1634
 
6.7%
4 1397
 
5.8%
5 1330
 
5.5%
6 1216
 
5.0%
7 1132
 
4.7%
8 1130
 
4.7%
Other values (3) 1067
 
4.4%

이동거리(M)
Real number (ℝ)

HIGH CORRELATION 

Distinct5316
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6527.5052
Minimum0
Maximum80925.33
Zeros56
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size53.4 KiB
2024-05-18T13:47:46.007946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile530
Q11640
median3814.52
Q38454.42
95-th percentile21609.06
Maximum80925.33
Range80925.33
Interquartile range (IQR)6814.42

Descriptive statistics

Standard deviation7760.7667
Coefficient of variation (CV)1.1889331
Kurtosis13.200857
Mean6527.5052
Median Absolute Deviation (MAD)2684.4
Skewness2.9303903
Sum39537099
Variance60229500
MonotonicityNot monotonic
2024-05-18T13:47:46.805230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 56
 
0.9%
1330.0 9
 
0.1%
1120.0 8
 
0.1%
830.0 8
 
0.1%
790.0 8
 
0.1%
730.0 8
 
0.1%
1040.0 8
 
0.1%
1780.0 8
 
0.1%
980.0 7
 
0.1%
1150.0 7
 
0.1%
Other values (5306) 5930
97.9%
ValueCountFrequency (%)
0.0 56
0.9%
0.1 1
 
< 0.1%
0.49 1
 
< 0.1%
3.0 1
 
< 0.1%
6.25 1
 
< 0.1%
10.0 1
 
< 0.1%
20.0 1
 
< 0.1%
25.27 1
 
< 0.1%
26.78 1
 
< 0.1%
30.0 1
 
< 0.1%
ValueCountFrequency (%)
80925.33 1
< 0.1%
75636.47 1
< 0.1%
73682.6 1
< 0.1%
71652.07 1
< 0.1%
71341.74 1
< 0.1%
66882.99 1
< 0.1%
64332.6 1
< 0.1%
63800.82 1
< 0.1%
59010.48 1
< 0.1%
58893.81 1
< 0.1%

이용시간(분)
Real number (ℝ)

HIGH CORRELATION 

Distinct312
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.272412
Minimum0
Maximum851
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size53.4 KiB
2024-05-18T13:47:47.474142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median28
Q363
95-th percentile167
Maximum851
Range851
Interquartile range (IQR)52

Descriptive statistics

Standard deviation61.193848
Coefficient of variation (CV)1.2419495
Kurtosis17.647892
Mean49.272412
Median Absolute Deviation (MAD)20
Skewness3.2293286
Sum298443
Variance3744.687
MonotonicityNot monotonic
2024-05-18T13:47:48.172429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 188
 
3.1%
8 167
 
2.8%
3 163
 
2.7%
7 162
 
2.7%
6 154
 
2.5%
5 154
 
2.5%
11 138
 
2.3%
10 135
 
2.2%
12 127
 
2.1%
13 122
 
2.0%
Other values (302) 4547
75.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 29
 
0.5%
2 104
1.7%
3 163
2.7%
4 188
3.1%
5 154
2.5%
6 154
2.5%
7 162
2.7%
8 167
2.8%
9 121
2.0%
ValueCountFrequency (%)
851 1
< 0.1%
636 1
< 0.1%
607 1
< 0.1%
587 1
< 0.1%
585 1
< 0.1%
553 1
< 0.1%
528 1
< 0.1%
496 1
< 0.1%
463 1
< 0.1%
455 1
< 0.1%

Interactions

2024-05-18T13:47:30.139210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:25.930836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:27.439324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:28.655272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:30.370105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:26.327748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:27.742913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:28.947782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:30.647638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:26.714024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:28.041667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:29.251432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:31.016852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:27.031908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:28.323684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:47:29.687113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T13:47:48.463105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여소번호연령대이용건수이동거리(M)이용시간(분)
대여소번호1.0000.1560.0810.1010.058
연령대0.1561.0000.1820.2200.272
이용건수0.0810.1821.0000.7910.778
이동거리(M)0.1010.2200.7911.0000.785
이용시간(분)0.0580.2720.7780.7851.000
2024-05-18T13:47:48.799690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여소번호이용건수이동거리(M)이용시간(분)연령대
대여소번호1.000-0.043-0.055-0.0620.093
이용건수-0.0431.0000.8190.8150.116
이동거리(M)-0.0550.8191.0000.9320.134
이용시간(분)-0.0620.8150.9321.0000.124
연령대0.0930.1160.1340.1241.000

Missing values

2024-05-18T13:47:31.417600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T13:47:32.026678image/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)
02023-11-01733733. 신정이펜하우스314동정기권<NA>~10대25.740.05230.1310
12023-11-01746746. 목동2단지 상가정기권<NA>~10대2113.411.235280.9738
22023-11-01948948. 디지털미디어 시티역 4번출구(DMC역)정기권<NA>~10대19.310.11470.04
32023-11-0110231023. 한국종합기술사옥 앞정기권<NA>~10대18.450.09395.03
42023-11-0110241024. 강동구청 앞정기권<NA>~10대128.040.411770.013
52023-11-0110251025. 상일초등학교정기권<NA>~10대19.410.10440.06
62023-11-0111501150. 송정역 1번출구정기권<NA>~10대165.380.592540.019
72023-11-0111531153. 발산역 1번, 9번 인근 대여소정기권<NA>~10대282.980.632750.021
82023-11-0112711271. 송파도서관정기권<NA>~10대149.730.562414.9414
92023-11-0114441444. 면목4치안센터정기권<NA>~10대16.490.381639.3411
대여일자대여소번호대여소대여구분코드성별연령대이용건수운동량탄소량이동거리(M)이용시간(분)
60472023-11-0157785778. 북위례3정기권<NA>30대287.860.793413.4519
60482023-11-01807807. 서울역 12번 출구 앞정기권<NA>30대260.500.441910.09
60492023-11-01807807. 서울역 12번 출구 앞정기권<NA>30대192.460.984245.2826
60502023-11-01808808. 서빙고동 금호맨션 앞정기권<NA>30대163.940.542340.013
60512023-11-01131131. 증산2교정기권<NA>30대4268.212.3510121.0154
60522023-11-01131131. 증산2교정기권<NA>30대292.160.723102.7318
60532023-11-01809809. 한남 유수지 복개주차장정기권<NA>30대2279.362.5210853.1353
60542023-11-01809809. 한남 유수지 복개주차장정기권<NA>30대1131.821.355840.027
60552023-11-01810810. 이태원지하보도정기권<NA>30대3193.341.857981.7358
60562023-11-01811811. 녹사평역1번출구정기권<NA>30대280.390.612650.5316