Overview

Dataset statistics

Number of variables4
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory36.1 B

Variable types

Numeric2
DateTime1
Categorical1

Dataset

Description경상북도 포항시청 홈페이지에 게시되어있는 자투리시간거래소의 홈페이지의 접속자 통계정보(일자, 접속자수)입니다.
Author경상북도 포항시
URLhttps://www.data.go.kr/data/15039371/fileData.do

Alerts

데이터기준일 has constant value ""Constant
번호 has unique valuesUnique
구분 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:07:45.728055
Analysis finished2024-04-21 01:07:47.145575
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-21T10:07:47.209812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.1
Q116.5
median32
Q347.5
95-th percentile59.9
Maximum63
Range62
Interquartile range (IQR)31

Descriptive statistics

Standard deviation18.330303
Coefficient of variation (CV)0.57282196
Kurtosis-1.2
Mean32
Median Absolute Deviation (MAD)16
Skewness0
Sum2016
Variance336
MonotonicityStrictly increasing
2024-04-21T10:07:47.321008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
2 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%

구분
Date

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum2024-01-29 00:00:00
Maximum2024-03-31 00:00:00
2024-04-21T10:07:47.432258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:07:47.546598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접속자수
Real number (ℝ)

Distinct57
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean405.61905
Minimum148
Maximum667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-04-21T10:07:47.663680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum148
5-th percentile179.3
Q1231.5
median471
Q3507
95-th percentile576.5
Maximum667
Range519
Interquartile range (IQR)275.5

Descriptive statistics

Standard deviation148.90692
Coefficient of variation (CV)0.36711028
Kurtosis-1.2878924
Mean405.61905
Median Absolute Deviation (MAD)60
Skewness-0.45914601
Sum25554
Variance22173.272
MonotonicityNot monotonic
2024-04-21T10:07:47.775816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
477 2
 
3.2%
487 2
 
3.2%
197 2
 
3.2%
506 2
 
3.2%
498 2
 
3.2%
508 2
 
3.2%
524 1
 
1.6%
453 1
 
1.6%
228 1
 
1.6%
179 1
 
1.6%
Other values (47) 47
74.6%
ValueCountFrequency (%)
148 1
1.6%
174 1
1.6%
175 1
1.6%
179 1
1.6%
182 1
1.6%
189 1
1.6%
193 1
1.6%
195 1
1.6%
197 2
3.2%
202 1
1.6%
ValueCountFrequency (%)
667 1
1.6%
654 1
1.6%
585 1
1.6%
577 1
1.6%
572 1
1.6%
556 1
1.6%
553 1
1.6%
543 1
1.6%
542 1
1.6%
531 1
1.6%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
2024-04-03
63 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-03
2nd row2024-04-03
3rd row2024-04-03
4th row2024-04-03
5th row2024-04-03

Common Values

ValueCountFrequency (%)
2024-04-03 63
100.0%

Length

2024-04-21T10:07:47.877031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:07:47.953011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-03 63
100.0%

Interactions

2024-04-21T10:07:46.893816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:07:46.582367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:07:46.962185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:07:46.699889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:07:47.998248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분접속자수
번호1.0001.0000.000
구분1.0001.0001.000
접속자수0.0001.0001.000
2024-04-21T10:07:48.074251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호접속자수
번호1.000-0.109
접속자수-0.1091.000

Missing values

2024-04-21T10:07:47.042786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:07:47.112699image/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

번호구분접속자수데이터기준일
012024-01-295532024-04-03
122024-01-306672024-04-03
232024-01-315852024-04-03
342024-02-015432024-04-03
452024-02-024872024-04-03
562024-02-032692024-04-03
672024-02-042342024-04-03
782024-02-054902024-04-03
892024-02-064772024-04-03
9102024-02-074592024-04-03
번호구분접속자수데이터기준일
53542024-03-224172024-04-03
54552024-03-232072024-04-03
55562024-03-241742024-04-03
56572024-03-255012024-04-03
57582024-03-265252024-04-03
58592024-03-275202024-04-03
59602024-03-285422024-04-03
60612024-03-294782024-04-03
61622024-03-302432024-04-03
62632024-03-311822024-04-03