Overview

Dataset statistics

Number of variables2
Number of observations912
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.3 KiB
Average record size in memory17.1 B

Variable types

DateTime1
Numeric1

Dataset

Description경상남도 창원시 누비자 2020년1월부터 2022년 6월까지 누비자의 일일이용현황입니다. 항목은 연월일, 이용건수입니다.
Author경상남도 창원시
URLhttps://www.data.go.kr/data/15102075/fileData.do

Alerts

년월일 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:42:44.287761
Analysis finished2023-12-12 17:42:44.582912
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월일
Date

UNIQUE 

Distinct912
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
Minimum2020-01-01 00:00:00
Maximum2022-06-30 00:00:00
2023-12-13T02:42:44.664672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:42:44.888203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

이용건수
Real number (ℝ)

Distinct874
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11443.682
Minimum601
Maximum18806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2023-12-13T02:42:45.106954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum601
5-th percentile4280.6
Q18976.75
median11705
Q314463
95-th percentile17032.85
Maximum18806
Range18205
Interquartile range (IQR)5486.25

Descriptive statistics

Standard deviation3846.8607
Coefficient of variation (CV)0.33615586
Kurtosis-0.4017373
Mean11443.682
Median Absolute Deviation (MAD)2745
Skewness-0.41546621
Sum10436638
Variance14798337
MonotonicityNot monotonic
2023-12-13T02:42:45.276045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10371 2
 
0.2%
15063 2
 
0.2%
12768 2
 
0.2%
12242 2
 
0.2%
15350 2
 
0.2%
14189 2
 
0.2%
9789 2
 
0.2%
12068 2
 
0.2%
10164 2
 
0.2%
9096 2
 
0.2%
Other values (864) 892
97.8%
ValueCountFrequency (%)
601 1
0.1%
770 1
0.1%
1417 1
0.1%
1523 1
0.1%
1683 1
0.1%
1715 1
0.1%
1749 1
0.1%
1752 1
0.1%
1838 1
0.1%
2007 1
0.1%
ValueCountFrequency (%)
18806 1
0.1%
18251 1
0.1%
18217 1
0.1%
18208 1
0.1%
18111 1
0.1%
18108 1
0.1%
18084 1
0.1%
18056 1
0.1%
18023 1
0.1%
17984 1
0.1%

Interactions

2023-12-13T02:42:44.333898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T02:42:44.479786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:42:44.556971image/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

년월일이용건수
02020-01-016062
12020-01-0211636
22020-01-0312464
32020-01-049596
42020-01-058037
52020-01-062007
62020-01-072137
72020-01-0812075
82020-01-0912407
92020-01-1012701
년월일이용건수
9022022-06-2116540
9032022-06-2216448
9042022-06-2312917
9052022-06-2412074
9062022-06-2512097
9072022-06-269197
9082022-06-274295
9092022-06-287388
9102022-06-293723
9112022-06-3014424