Overview

Dataset statistics

Number of variables4
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory410.2 KiB
Average record size in memory42.0 B

Variable types

Numeric2
DateTime2

Dataset

Description지방세,세외수입,주정차위반,교통유발부담금, 환경개선부담금 등 민원상담을 위해 오산시 ARS카드납부 및 전화민원관리시스템을 통하여 연결된 전화 이력 통계 제공
Author경기도 오산시
URLhttps://www.data.go.kr/data/15060650/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:59:11.074300
Analysis finished2023-12-12 20:59:12.066906
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34527.171
Minimum5
Maximum69138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:59:12.150106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile3499.95
Q116742.5
median34634
Q352202.75
95-th percentile65781.2
Maximum69138
Range69133
Interquartile range (IQR)35460.25

Descriptive statistics

Standard deviation20130.855
Coefficient of variation (CV)0.58304387
Kurtosis-1.2260613
Mean34527.171
Median Absolute Deviation (MAD)17692.5
Skewness0.0010510022
Sum3.4527171 × 108
Variance4.0525133 × 108
MonotonicityNot monotonic
2023-12-13T05:59:12.326355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17006 1
 
< 0.1%
51452 1
 
< 0.1%
14549 1
 
< 0.1%
36290 1
 
< 0.1%
47478 1
 
< 0.1%
48468 1
 
< 0.1%
42346 1
 
< 0.1%
2239 1
 
< 0.1%
10640 1
 
< 0.1%
35719 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
5 1
< 0.1%
19 1
< 0.1%
37 1
< 0.1%
54 1
< 0.1%
61 1
< 0.1%
62 1
< 0.1%
70 1
< 0.1%
73 1
< 0.1%
76 1
< 0.1%
87 1
< 0.1%
ValueCountFrequency (%)
69138 1
< 0.1%
69125 1
< 0.1%
69123 1
< 0.1%
69113 1
< 0.1%
69102 1
< 0.1%
69101 1
< 0.1%
69092 1
< 0.1%
69090 1
< 0.1%
69085 1
< 0.1%
69076 1
< 0.1%

전화시작시간
Date

Distinct9289
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-03 08:44:00
Maximum2022-12-31 13:58:00
2023-12-13T05:59:12.482621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:59:12.664917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화종료시간
Date

Distinct9404
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-03 08:44:00
Maximum2022-12-31 13:58:00
2023-12-13T05:59:12.859134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:59:13.038641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

내선번호
Real number (ℝ)

Distinct84
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7010.9182
Minimum9
Maximum8548
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:59:13.204065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile6014
Q16807
median7184
Q37213
95-th percentile7724
Maximum8548
Range8539
Interquartile range (IQR)406

Descriptive statistics

Standard deviation548.96202
Coefficient of variation (CV)0.078301017
Kurtosis9.0902357
Mean7010.9182
Median Absolute Deviation (MAD)50
Skewness-0.46471451
Sum70109182
Variance301359.3
MonotonicityNot monotonic
2023-12-13T05:59:13.341520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6807 477
 
4.8%
6811 328
 
3.3%
6809 276
 
2.8%
6808 264
 
2.6%
6806 260
 
2.6%
6015 256
 
2.6%
6810 251
 
2.5%
6009 244
 
2.4%
7215 240
 
2.4%
7198 233
 
2.3%
Other values (74) 7171
71.7%
ValueCountFrequency (%)
9 3
 
< 0.1%
6009 244
2.4%
6011 183
1.8%
6014 139
1.4%
6015 256
2.6%
6016 184
1.8%
6018 162
1.6%
6019 198
2.0%
6415 151
1.5%
6801 21
 
0.2%
ValueCountFrequency (%)
8548 1
 
< 0.1%
8547 5
 
0.1%
8546 8
 
0.1%
8545 55
0.5%
8544 67
0.7%
8543 61
0.6%
8542 18
 
0.2%
8541 68
0.7%
8540 62
0.6%
8538 27
 
0.3%

Interactions

2023-12-13T05:59:11.642868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:59:11.384510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:59:11.758887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:59:11.523168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:59:13.435016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번내선번호
연번1.0000.198
내선번호0.1981.000
2023-12-13T05:59:13.818828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번내선번호
연번1.0000.076
내선번호0.0761.000

Missing values

2023-12-13T05:59:11.919389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:59:12.021724image/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

연번전화시작시간전화종료시간내선번호
17005170062022-03-29 10:262022-03-29 10:286804
45236452372022-08-31 11:082022-08-31 11:256009
40116401172022-08-01 10:242022-08-01 10:246808
405340542022-01-17 17:552022-01-17 17:556809
48484484852022-09-19 10:152022-09-19 10:157193
24932249332022-05-12 15:132022-05-12 15:136811
35204352052022-07-04 09:252022-07-04 09:277185
761076112022-02-03 08:512022-02-03 08:516810
22357223582022-04-28 10:392022-04-28 10:397186
59988599892022-11-15 09:192022-11-15 09:197175
연번전화시작시간전화종료시간내선번호
32387323882022-06-22 13:152022-06-22 13:158543
12516125172022-03-02 13:572022-03-02 14:066807
10609106102022-02-17 14:132022-02-17 14:137222
63943639442022-12-06 14:012022-12-06 14:026804
63535635362022-12-02 15:482022-12-02 15:487173
68521685222022-12-29 08:552022-12-29 08:556810
63696636972022-12-05 11:272022-12-05 11:296807
20008200092022-04-14 17:412022-04-14 17:426807
1531542022-01-03 14:182022-01-03 14:186015
41571415722022-08-11 09:362022-08-11 09:367223