Overview

Dataset statistics

Number of variables11
Number of observations6338
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory569.6 KiB
Average record size in memory92.0 B

Variable types

DateTime1
Numeric4
Text3
Categorical3

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15246/A/1/datasetView.do

Alerts

대여일자 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

Reproduction

Analysis started2024-05-18 04:57:46.976011
Analysis finished2024-05-18 04:57:55.031236
Duration8.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대여일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.6 KiB
Minimum2022-05-01 00:00:00
Maximum2022-05-01 00:00:00
2024-05-18T13:57:55.219390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:57:55.537383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

대여소번호
Real number (ℝ)

Distinct283
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262.36115
Minimum3
Maximum440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.8 KiB
2024-05-18T13:57:55.925971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile114
Q1183
median255
Q3344
95-th percentile421
Maximum440
Range437
Interquartile range (IQR)161

Descriptive statistics

Standard deviation97.443378
Coefficient of variation (CV)0.37140932
Kurtosis-1.0881191
Mean262.36115
Median Absolute Deviation (MAD)80
Skewness0.13430979
Sum1662845
Variance9495.212
MonotonicityIncreasing
2024-05-18T13:57:56.481546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207 60
 
0.9%
186 48
 
0.8%
210 47
 
0.7%
202 45
 
0.7%
418 44
 
0.7%
117 44
 
0.7%
420 43
 
0.7%
272 41
 
0.6%
147 41
 
0.6%
274 41
 
0.6%
Other values (273) 5884
92.8%
ValueCountFrequency (%)
3 1
 
< 0.1%
102 32
0.5%
103 33
0.5%
104 24
0.4%
105 23
0.4%
106 35
0.6%
107 20
0.3%
108 30
0.5%
109 28
0.4%
111 22
0.3%
ValueCountFrequency (%)
440 20
0.3%
438 23
0.4%
437 27
0.4%
436 11
 
0.2%
435 14
0.2%
434 24
0.4%
433 20
0.3%
432 14
0.2%
431 34
0.5%
430 15
0.2%

대여소
Text

Distinct283
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size49.6 KiB
2024-05-18T13:57:57.133867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length14.337015
Min length4

Characters and Unicode

Total characters90868
Distinct characters306
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row중랑센터
2nd row102. 망원역 1번출구 앞
3rd row102. 망원역 1번출구 앞
4th row102. 망원역 1번출구 앞
5th row102. 망원역 1번출구 앞
ValueCountFrequency (%)
앞 2561
 
12.5%
옆 545
 
2.7%
사거리 370
 
1.8%
1번출구 348
 
1.7%
뒤 314
 
1.5%
2번출구 272
 
1.3%
4번출구 188
 
0.9%
3번출구 164
 
0.8%
5번출구 150
 
0.7%
입구 131
 
0.6%
Other values (624) 15494
75.4%
2024-05-18T13:57:58.346797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14305
 
15.7%
. 6337
 
7.0%
2 4392
 
4.8%
1 3939
 
4.3%
3 3206
 
3.5%
앞 2638
 
2.9%
4 2414
 
2.7%
구 2294
 
2.5%
역 1835
 
2.0%
번 1743
 
1.9%
Other values (296) 47765
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46655
51.3%
Decimal Number 21871
24.1%
Space Separator 14305
 
15.7%
Other Punctuation 6337
 
7.0%
Uppercase Letter 1271
 
1.4%
Open Punctuation 193
 
0.2%
Close Punctuation 193
 
0.2%
Dash Punctuation 43
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 2638
 
5.7%
구 2294
 
4.9%
역 1835
 
3.9%
번 1743
 
3.7%
출 1712
 
3.7%
동 822
 
1.8%
원 810
 
1.7%
리 809
 
1.7%
사 804
 
1.7%
교 785
 
1.7%
Other values (262) 32403
69.5%
Uppercase Letter
ValueCountFrequency (%)
K 215
16.9%
C 194
15.3%
S 133
10.5%
D 115
9.0%
M 115
9.0%
B 96
7.6%
T 69
 
5.4%
E 57
 
4.5%
I 47
 
3.7%
F 47
 
3.7%
Other values (9) 183
14.4%
Decimal Number
ValueCountFrequency (%)
2 4392
20.1%
1 3939
18.0%
3 3206
14.7%
4 2414
11.0%
0 1525
 
7.0%
7 1337
 
6.1%
8 1336
 
6.1%
6 1276
 
5.8%
5 1233
 
5.6%
9 1213
 
5.5%
Space Separator
ValueCountFrequency (%)
14305
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6337
100.0%
Open Punctuation
ValueCountFrequency (%)
( 193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 193
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46655
51.3%
Common 42942
47.3%
Latin 1271
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 2638
 
5.7%
구 2294
 
4.9%
역 1835
 
3.9%
번 1743
 
3.7%
출 1712
 
3.7%
동 822
 
1.8%
원 810
 
1.7%
리 809
 
1.7%
사 804
 
1.7%
교 785
 
1.7%
Other values (262) 32403
69.5%
Latin
ValueCountFrequency (%)
K 215
16.9%
C 194
15.3%
S 133
10.5%
D 115
9.0%
M 115
9.0%
B 96
7.6%
T 69
 
5.4%
E 57
 
4.5%
I 47
 
3.7%
F 47
 
3.7%
Other values (9) 183
14.4%
Common
ValueCountFrequency (%)
14305
33.3%
. 6337
14.8%
2 4392
 
10.2%
1 3939
 
9.2%
3 3206
 
7.5%
4 2414
 
5.6%
0 1525
 
3.6%
7 1337
 
3.1%
8 1336
 
3.1%
6 1276
 
3.0%
Other values (5) 2875
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46655
51.3%
ASCII 44213
48.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14305
32.4%
. 6337
14.3%
2 4392
 
9.9%
1 3939
 
8.9%
3 3206
 
7.3%
4 2414
 
5.5%
0 1525
 
3.4%
7 1337
 
3.0%
8 1336
 
3.0%
6 1276
 
2.9%
Other values (24) 4146
 
9.4%
Hangul
ValueCountFrequency (%)
앞 2638
 
5.7%
구 2294
 
4.9%
역 1835
 
3.9%
번 1743
 
3.7%
출 1712
 
3.7%
동 822
 
1.8%
원 810
 
1.7%
리 809
 
1.7%
사 804
 
1.7%
교 785
 
1.7%
Other values (262) 32403
69.5%

대여구분코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size49.6 KiB
정기권
3631 
일일권
2290 
단체권
 
227
일일권(비회원)
 
190

Length

Max length8
Median length3
Mean length3.1498896
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정기권
2nd row단체권
3rd row단체권
4th row단체권
5th row일일권(비회원)

Common Values

ValueCountFrequency (%)
정기권 3631
57.3%
일일권 2290
36.1%
단체권 227
 
3.6%
일일권(비회원) 190
 
3.0%

Length

2024-05-18T13:57:58.817551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:57:59.135783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기권 3631
57.3%
일일권 2290
36.1%
단체권 227
 
3.6%
일일권(비회원 190
 
3.0%

성별
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size49.6 KiB
M
2280 
\N
1873 
F
1743 
<NA>
441 
m
 
1

Length

Max length4
Median length1
Mean length1.50426
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowM
2nd row\N
3rd row\N
4th rowF
5th row\N

Common Values

ValueCountFrequency (%)
M 2280
36.0%
\N 1873
29.6%
F 1743
27.5%
<NA> 441
 
7.0%
m 1
 
< 0.1%

Length

2024-05-18T13:57:59.593524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:57:59.918568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 2281
36.0%
n 1873
29.6%
f 1743
27.5%
na 441
 
7.0%

연령대코드
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size49.6 KiB
20대
1732 
30대
1340 
기타
934 
40대
931 
50대
643 
Other values (3)
758 

Length

Max length5
Median length3
Mean length2.8633638
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row40대
2nd row20대
3rd row40대
4th row20대
5th row기타

Common Values

ValueCountFrequency (%)
20대 1732
27.3%
30대 1340
21.1%
기타 934
14.7%
40대 931
14.7%
50대 643
 
10.1%
10대 476
 
7.5%
60대 248
 
3.9%
70대이상 34
 
0.5%

Length

2024-05-18T13:58:00.440512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:58:00.928525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20대 1732
27.3%
30대 1340
21.1%
기타 934
14.7%
40대 931
14.7%
50대 643
 
10.1%
10대 476
 
7.5%
60대 248
 
3.9%
70대이상 34
 
0.5%

이용건수
Real number (ℝ)

HIGH CORRELATION 

Distinct38
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8865573
Minimum1
Maximum118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.8 KiB
2024-05-18T13:58:01.376899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile8
Maximum118
Range117
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.8404637
Coefficient of variation (CV)1.3304651
Kurtosis216.77198
Mean2.8865573
Median Absolute Deviation (MAD)1
Skewness10.291391
Sum18295
Variance14.749161
MonotonicityNot monotonic
2024-05-18T13:58:01.959010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1 2699
42.6%
2 1427
22.5%
3 751
 
11.8%
4 439
 
6.9%
5 309
 
4.9%
6 185
 
2.9%
7 127
 
2.0%
8 91
 
1.4%
9 66
 
1.0%
10 51
 
0.8%
Other values (28) 193
 
3.0%
ValueCountFrequency (%)
1 2699
42.6%
2 1427
22.5%
3 751
 
11.8%
4 439
 
6.9%
5 309
 
4.9%
6 185
 
2.9%
7 127
 
2.0%
8 91
 
1.4%
9 66
 
1.0%
10 51
 
0.8%
ValueCountFrequency (%)
118 1
 
< 0.1%
94 1
 
< 0.1%
69 1
 
< 0.1%
66 1
 
< 0.1%
55 1
 
< 0.1%
45 1
 
< 0.1%
35 1
 
< 0.1%
34 1
 
< 0.1%
33 1
 
< 0.1%
29 3
< 0.1%

운동량
Text

Distinct5680
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size49.6 KiB
2024-05-18T13:58:03.072973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.6050805
Min length2

Characters and Unicode

Total characters35525
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

Unique5169 ?
Unique (%)81.6%

Sample

1st row151.98
2nd row91.76
3rd row77.87
4th row162.88
5th row193.78
ValueCountFrequency (%)
0.00 37
 
0.6%
n 12
 
0.2%
35.01 5
 
0.1%
19.31 5
 
0.1%
34.64 4
 
0.1%
39.64 4
 
0.1%
26.51 4
 
0.1%
17.50 4
 
0.1%
24.45 4
 
0.1%
32.69 4
 
0.1%
Other values (5670) 6255
98.7%
2024-05-18T13:58:04.967687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 6326
17.8%
1 4189
11.8%
2 3451
9.7%
3 3199
9.0%
4 2954
8.3%
5 2755
7.8%
6 2650
7.5%
8 2576
7.3%
7 2524
 
7.1%
9 2452
 
6.9%
Other values (3) 2449
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29175
82.1%
Other Punctuation 6338
 
17.8%
Uppercase Letter 12
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4189
14.4%
2 3451
11.8%
3 3199
11.0%
4 2954
10.1%
5 2755
9.4%
6 2650
9.1%
8 2576
8.8%
7 2524
8.7%
9 2452
8.4%
0 2425
8.3%
Other Punctuation
ValueCountFrequency (%)
. 6326
99.8%
\ 12
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
N 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35513
> 99.9%
Latin 12
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 6326
17.8%
1 4189
11.8%
2 3451
9.7%
3 3199
9.0%
4 2954
8.3%
5 2755
7.8%
6 2650
7.5%
8 2576
7.3%
7 2524
 
7.1%
9 2452
 
6.9%
Other values (2) 2437
 
6.9%
Latin
ValueCountFrequency (%)
N 12
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35525
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 6326
17.8%
1 4189
11.8%
2 3451
9.7%
3 3199
9.0%
4 2954
8.3%
5 2755
7.8%
6 2650
7.5%
8 2576
7.3%
7 2524
 
7.1%
9 2452
 
6.9%
Other values (3) 2449
 
6.9%

탄소량
Text

Distinct974
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size49.6 KiB
2024-05-18T13:58:06.121828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.029189
Min length2

Characters and Unicode

Total characters25537
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

Unique352 ?
Unique (%)5.6%

Sample

1st row1.17
2nd row0.94
3rd row0.86
4th row1.94
5th row1.75
ValueCountFrequency (%)
0.29 58
 
0.9%
0.26 55
 
0.9%
0.24 53
 
0.8%
0.31 48
 
0.8%
0.39 44
 
0.7%
0.21 43
 
0.7%
0.33 42
 
0.7%
0.34 42
 
0.7%
0.25 42
 
0.7%
0.28 41
 
0.6%
Other values (964) 5870
92.6%
2024-05-18T13:58:07.926233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 6326
24.8%
0 4048
15.9%
1 2893
11.3%
2 2243
 
8.8%
3 1879
 
7.4%
4 1625
 
6.4%
5 1486
 
5.8%
6 1395
 
5.5%
7 1297
 
5.1%
8 1171
 
4.6%
Other values (3) 1174
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19187
75.1%
Other Punctuation 6338
 
24.8%
Uppercase Letter 12
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4048
21.1%
1 2893
15.1%
2 2243
11.7%
3 1879
9.8%
4 1625
8.5%
5 1486
 
7.7%
6 1395
 
7.3%
7 1297
 
6.8%
8 1171
 
6.1%
9 1150
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 6326
99.8%
\ 12
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
N 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25525
> 99.9%
Latin 12
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 6326
24.8%
0 4048
15.9%
1 2893
11.3%
2 2243
 
8.8%
3 1879
 
7.4%
4 1625
 
6.4%
5 1486
 
5.8%
6 1395
 
5.5%
7 1297
 
5.1%
8 1171
 
4.6%
Other values (2) 1162
 
4.6%
Latin
ValueCountFrequency (%)
N 12
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25537
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 6326
24.8%
0 4048
15.9%
1 2893
11.3%
2 2243
 
8.8%
3 1879
 
7.4%
4 1625
 
6.4%
5 1486
 
5.8%
6 1395
 
5.5%
7 1297
 
5.1%
8 1171
 
4.6%
Other values (3) 1174
 
4.6%

이동거리(M)
Real number (ℝ)

HIGH CORRELATION 

Distinct5367
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10489.682
Minimum0
Maximum689112.87
Zeros38
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size55.8 KiB
2024-05-18T13:58:08.662054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile677.745
Q12148.8675
median5265.01
Q312098.542
95-th percentile34867.562
Maximum689112.87
Range689112.87
Interquartile range (IQR)9949.675

Descriptive statistics

Standard deviation20809.145
Coefficient of variation (CV)1.9837728
Kurtosis315.11851
Mean10489.682
Median Absolute Deviation (MAD)3802.02
Skewness13.420297
Sum66483603
Variance4.3302052 × 108
MonotonicityNot monotonic
2024-05-18T13:58:09.464989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 38
 
0.6%
1080.0 9
 
0.1%
950.0 9
 
0.1%
1430.0 8
 
0.1%
1770.0 8
 
0.1%
900.0 8
 
0.1%
1220.0 8
 
0.1%
1120.0 7
 
0.1%
570.0 7
 
0.1%
1270.0 7
 
0.1%
Other values (5357) 6229
98.3%
ValueCountFrequency (%)
0.0 38
0.6%
0.1 2
 
< 0.1%
0.13 2
 
< 0.1%
11.35 1
 
< 0.1%
30.0 1
 
< 0.1%
47.47 1
 
< 0.1%
60.0 1
 
< 0.1%
68.7 1
 
< 0.1%
69.28 1
 
< 0.1%
76.13 1
 
< 0.1%
ValueCountFrequency (%)
689112.87 1
< 0.1%
539719.59 1
< 0.1%
442441.27 1
< 0.1%
380231.32 1
< 0.1%
315893.69 1
< 0.1%
315770.95 1
< 0.1%
250229.68 1
< 0.1%
223530.62 1
< 0.1%
185918.72 1
< 0.1%
174966.27 1
< 0.1%

이용시간(분)
Real number (ℝ)

HIGH CORRELATION 

Distinct536
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.487062
Minimum0
Maximum6983
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size55.8 KiB
2024-05-18T13:58:10.003628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q119
median50
Q3107
95-th percentile305
Maximum6983
Range6983
Interquartile range (IQR)88

Descriptive statistics

Standard deviation193.46019
Coefficient of variation (CV)2.0474781
Kurtosis399.57251
Mean94.487062
Median Absolute Deviation (MAD)36
Skewness15.117861
Sum598859
Variance37426.844
MonotonicityNot monotonic
2024-05-18T13:58:10.464885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 118
 
1.9%
10 112
 
1.8%
7 110
 
1.7%
5 105
 
1.7%
13 103
 
1.6%
9 102
 
1.6%
8 92
 
1.5%
4 90
 
1.4%
11 89
 
1.4%
12 87
 
1.4%
Other values (526) 5330
84.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 13
 
0.2%
2 49
0.8%
3 76
1.2%
4 90
1.4%
5 105
1.7%
6 118
1.9%
7 110
1.7%
8 92
1.5%
9 102
1.6%
ValueCountFrequency (%)
6983 1
< 0.1%
5261 1
< 0.1%
3864 1
< 0.1%
3546 1
< 0.1%
3514 1
< 0.1%
2586 1
< 0.1%
2002 1
< 0.1%
1628 1
< 0.1%
1605 1
< 0.1%
1521 1
< 0.1%

Interactions

2024-05-18T13:57:52.459748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:57:48.719328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:57:49.920328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:57:51.085806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:57:52.762276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:57:49.057606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:57:50.175172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:57:51.380523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:57:53.104475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:57:49.353015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:57:50.464297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:57:51.708040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:57:53.479129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:57:49.636016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:57:50.760153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:57:52.126207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T13:58:10.769848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여소번호대여구분코드성별연령대코드이용건수이동거리(M)이용시간(분)
대여소번호1.0000.0710.0000.0290.0770.1310.079
대여구분코드0.0711.0000.3600.5450.0800.0840.099
성별0.0000.3601.0000.1460.0000.0000.000
연령대코드0.0290.5450.1461.0000.1270.0410.037
이용건수0.0770.0800.0000.1271.0000.9320.951
이동거리(M)0.1310.0840.0000.0410.9321.0000.928
이용시간(분)0.0790.0990.0000.0370.9510.9281.000
2024-05-18T13:58:11.068951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연령대코드성별대여구분코드
연령대코드1.0000.0660.268
성별0.0661.0000.147
대여구분코드0.2680.1471.000
2024-05-18T13:58:11.362655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여소번호이용건수이동거리(M)이용시간(분)대여구분코드성별연령대코드
대여소번호1.000-0.101-0.151-0.1420.0450.0000.014
이용건수-0.1011.0000.7130.7040.0360.0000.043
이동거리(M)-0.1510.7131.0000.8980.0540.0000.020
이용시간(분)-0.1420.7040.8981.0000.0680.0000.020
대여구분코드0.0450.0360.0540.0681.0000.1470.268
성별0.0000.0000.0000.0000.1471.0000.066
연령대코드0.0140.0430.0200.0200.2680.0661.000

Missing values

2024-05-18T13:57:54.212106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T13:57:54.790153image/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

대여일자대여소번호대여소대여구분코드성별연령대코드이용건수운동량탄소량이동거리(M)이용시간(분)
02022-05-013중랑센터정기권M40대1151.981.175050.027
12022-05-01102102. 망원역 1번출구 앞단체권\N20대391.760.944064.9443
22022-05-01102102. 망원역 1번출구 앞단체권\N40대177.870.863710.038
32022-05-01102102. 망원역 1번출구 앞단체권F20대2162.881.948394.1258
42022-05-01102102. 망원역 1번출구 앞일일권(비회원)\N기타2193.781.757528.3952
52022-05-01102102. 망원역 1번출구 앞일일권\N20대161058.219.3040064.36533
62022-05-01102102. 망원역 1번출구 앞일일권\N30대91009.909.8442420.17384
72022-05-01102102. 망원역 1번출구 앞일일권\N40대2131.071.335732.7968
82022-05-01102102. 망원역 1번출구 앞일일권F20대6779.417.0330280.16268
92022-05-01102102. 망원역 1번출구 앞일일권F30대6195.872.038767.45135
대여일자대여소번호대여소대여구분코드성별연령대코드이용건수운동량탄소량이동거리(M)이용시간(분)
63282022-05-01440440. 하늘공원 입구일일권M30대3483.253.6315617.34247
63292022-05-01440440. 하늘공원 입구일일권M40대2224.081.677205.12109
63302022-05-01440440. 하늘공원 입구일일권M50대159.850.532290.017
63312022-05-01440440. 하늘공원 입구정기권\N20대1184.341.546650.042
63322022-05-01440440. 하늘공원 입구정기권\N40대2408.233.0112945.4983
63332022-05-01440440. 하늘공원 입구정기권\N50대1229.221.586810.090
63342022-05-01440440. 하늘공원 입구정기권<NA>30대2136.561.144910.026
63352022-05-01440440. 하늘공원 입구정기권F20대6650.746.3327240.88218
63362022-05-01440440. 하늘공원 입구정기권F30대3346.892.8812407.4396
63372022-05-01440440. 하늘공원 입구정기권F40대1106.260.944065.5940