Overview

Dataset statistics

Number of variables3
Number of observations792
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.5 KiB
Average record size in memory25.2 B

Variable types

DateTime1
Categorical1
Numeric1

Dataset

Description서울시에서 운영중인 공공자전거(따릉이) 판매권(일일,정기)의 일별 판매건수 자료입니다. 일별 판매권별 판매건수를 확인 하실 수 있습니다.
URLhttps://www.data.go.kr/data/15098949/fileData.do

Alerts

건수 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 건수High correlation

Reproduction

Analysis started2023-12-12 17:57:37.148844
Analysis finished2023-12-12 17:57:37.569725
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

Distinct396
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Minimum2022-01-01 00:00:00
Maximum2023-01-31 00:00:00
2023-12-13T02:57:37.657496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:57:37.832647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
일일
396 
정기
396 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일일
2nd row정기
3rd row일일
4th row정기
5th row일일

Common Values

ValueCountFrequency (%)
일일 396
50.0%
정기 396
50.0%

Length

2023-12-13T02:57:38.024780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:57:38.151391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일일 396
50.0%
정기 396
50.0%

건수
Real number (ℝ)

HIGH CORRELATION 

Distinct772
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7790.5101
Minimum156
Maximum44284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.1 KiB
2023-12-13T02:57:38.307561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum156
5-th percentile592.35
Q12092.25
median3443.5
Q313198.25
95-th percentile25873.1
Maximum44284
Range44128
Interquartile range (IQR)11106

Descriptive statistics

Standard deviation8612.7289
Coefficient of variation (CV)1.1055411
Kurtosis1.6649176
Mean7790.5101
Median Absolute Deviation (MAD)2296.5
Skewness1.5058018
Sum6170084
Variance74179099
MonotonicityNot monotonic
2023-12-13T02:57:38.876736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3929 3
 
0.4%
1057 3
 
0.4%
701 3
 
0.4%
3149 2
 
0.3%
2568 2
 
0.3%
2917 2
 
0.3%
13298 2
 
0.3%
877 2
 
0.3%
1401 2
 
0.3%
914 2
 
0.3%
Other values (762) 769
97.1%
ValueCountFrequency (%)
156 1
0.1%
163 1
0.1%
250 1
0.1%
270 1
0.1%
290 1
0.1%
309 1
0.1%
322 1
0.1%
328 1
0.1%
337 1
0.1%
338 1
0.1%
ValueCountFrequency (%)
44284 1
0.1%
41782 1
0.1%
41512 1
0.1%
38000 1
0.1%
36624 1
0.1%
35606 1
0.1%
35327 1
0.1%
34942 1
0.1%
34643 1
0.1%
34585 1
0.1%

Interactions

2023-12-13T02:57:37.252192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:57:38.973429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분건수
구분1.0000.933
건수0.9331.000
2023-12-13T02:57:39.074897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건수구분
건수1.0000.779
구분0.7791.000

Missing values

2023-12-13T02:57:37.417054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:57:37.526405image/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

일자구분건수
02022-01-01일일4295
12022-01-01정기525
22022-01-02일일3747
32022-01-02정기645
42022-01-03일일3995
52022-01-03정기1425
62022-01-04일일3650
72022-01-04정기1040
82022-01-05일일3961
92022-01-05정기1111
일자구분건수
7822023-01-27일일2116
7832023-01-27정기539
7842023-01-28일일3292
7852023-01-28정기583
7862023-01-29일일4590
7872023-01-29정기719
7882023-01-30일일4552
7892023-01-30정기1378
7902023-01-31일일5433
7912023-01-31정기1401