Overview

Dataset statistics

Number of variables5
Number of observations2615
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory109.9 KiB
Average record size in memory43.1 B

Variable types

Categorical2
Numeric2
Text1

Dataset

Description한국문화예술교육진흥원 대표기관 홈페이지 비회원 대국민서비스 방문자 현황입니다. 2017.11~2021.8 일자별 비회원 방문자 현황입니다.
Author한국문화예술교육진흥원
URLhttps://www.data.go.kr/data/15088810/fileData.do

Reproduction

Analysis started2023-12-12 16:59:03.110321
Analysis finished2023-12-12 16:59:03.861689
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

방문년도
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
2020
732 
2019
728 
2018
633 
2021
478 
2017
 
44

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2020 732
28.0%
2019 728
27.8%
2018 633
24.2%
2021 478
18.3%
2017 44
 
1.7%

Length

2023-12-13T01:59:03.936717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:59:04.047170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 732
28.0%
2019 728
27.8%
2018 633
24.2%
2021 478
18.3%
2017 44
 
1.7%

방문월
Real number (ℝ)

Distinct12
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.374761
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2023-12-13T01:59:04.159889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.3868605
Coefficient of variation (CV)0.53129216
Kurtosis-1.1362793
Mean6.374761
Median Absolute Deviation (MAD)3
Skewness0.076323495
Sum16670
Variance11.470824
MonotonicityNot monotonic
2023-12-13T01:59:04.272843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
7 247
9.4%
3 241
9.2%
8 240
9.2%
5 238
9.1%
4 232
8.9%
6 227
8.7%
12 217
8.3%
1 217
8.3%
2 197
7.5%
11 193
7.4%
Other values (2) 366
14.0%
ValueCountFrequency (%)
1 217
8.3%
2 197
7.5%
3 241
9.2%
4 232
8.9%
5 238
9.1%
6 227
8.7%
7 247
9.4%
8 240
9.2%
9 180
6.9%
10 186
7.1%
ValueCountFrequency (%)
12 217
8.3%
11 193
7.4%
10 186
7.1%
9 180
6.9%
8 240
9.2%
7 247
9.4%
6 227
8.7%
5 238
9.1%
4 232
8.9%
3 241
9.2%

방문일자
Real number (ℝ)

Distinct31
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.723518
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.1 KiB
2023-12-13T01:59:04.384572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q323
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.7779961
Coefficient of variation (CV)0.55827175
Kurtosis-1.1895239
Mean15.723518
Median Absolute Deviation (MAD)8
Skewness0.0048015198
Sum41117
Variance77.053215
MonotonicityNot monotonic
2023-12-13T01:59:04.790902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
15 88
 
3.4%
13 87
 
3.3%
27 87
 
3.3%
26 87
 
3.3%
11 87
 
3.3%
14 87
 
3.3%
4 87
 
3.3%
17 87
 
3.3%
22 87
 
3.3%
23 86
 
3.3%
Other values (21) 1745
66.7%
ValueCountFrequency (%)
1 85
3.3%
2 86
3.3%
3 85
3.3%
4 87
3.3%
5 86
3.3%
6 85
3.3%
7 85
3.3%
8 86
3.3%
9 85
3.3%
10 85
3.3%
ValueCountFrequency (%)
31 49
1.9%
30 77
2.9%
29 78
3.0%
28 86
3.3%
27 87
3.3%
26 87
3.3%
25 86
3.3%
24 86
3.3%
23 86
3.3%
22 87
3.3%

방문자수
Text

Distinct1578
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
2023-12-13T01:59:05.125304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length3.8550669
Min length1

Characters and Unicode

Total characters10081
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1045 ?
Unique (%)40.0%

Sample

1st row5
2nd row3
3rd row3
4th row7
5th row2
ValueCountFrequency (%)
1 38
 
1.5%
2 31
 
1.2%
3 20
 
0.8%
20 12
 
0.5%
31 12
 
0.5%
5 10
 
0.4%
24 10
 
0.4%
13 9
 
0.3%
28 9
 
0.3%
36 9
 
0.3%
Other values (1568) 2455
93.9%
2023-12-13T01:59:05.662754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 1364
13.5%
1 1311
13.0%
2 1260
12.5%
3 997
9.9%
4 880
8.7%
7 749
7.4%
6 727
7.2%
0 723
7.2%
5 721
7.2%
8 687
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8717
86.5%
Other Punctuation 1364
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1311
15.0%
2 1260
14.5%
3 997
11.4%
4 880
10.1%
7 749
8.6%
6 727
8.3%
0 723
8.3%
5 721
8.3%
8 687
7.9%
9 662
7.6%
Other Punctuation
ValueCountFrequency (%)
, 1364
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10081
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 1364
13.5%
1 1311
13.0%
2 1260
12.5%
3 997
9.9%
4 880
8.7%
7 749
7.4%
6 727
7.2%
0 723
7.2%
5 721
7.2%
8 687
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10081
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 1364
13.5%
1 1311
13.0%
2 1260
12.5%
3 997
9.9%
4 880
8.7%
7 749
7.4%
6 727
7.2%
0 723
7.2%
5 721
7.2%
8 687
6.8%

방문자대상 사이트
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
HOME
1379 
BANK
1236 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowHOME
2nd rowHOME
3rd rowHOME
4th rowHOME
5th rowHOME

Common Values

ValueCountFrequency (%)
HOME 1379
52.7%
BANK 1236
47.3%

Length

2023-12-13T01:59:05.865840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:59:05.951312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
home 1379
52.7%
bank 1236
47.3%

Interactions

2023-12-13T01:59:03.517462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:59:03.314671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:59:03.619431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:59:03.416692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:59:06.013138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방문년도방문월방문일자방문자대상 사이트
방문년도1.0000.4610.0000.110
방문월0.4611.0000.0000.000
방문일자0.0000.0001.0000.000
방문자대상 사이트0.1100.0000.0001.000
2023-12-13T01:59:06.099465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방문년도방문자대상 사이트
방문년도1.0000.134
방문자대상 사이트0.1341.000
2023-12-13T01:59:06.185924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방문월방문일자방문년도방문자대상 사이트
방문월1.0000.0130.2090.000
방문일자0.0131.0000.0000.000
방문년도0.2090.0001.0000.134
방문자대상 사이트0.0000.0000.1341.000

Missing values

2023-12-13T01:59:03.734345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:59:03.824491image/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

방문년도방문월방문일자방문자수방문자대상 사이트
0201711135HOME
1201711143HOME
2201711153HOME
3201711167HOME
4201711172HOME
5201711201HOME
6201711221HOME
7201711231HOME
82017112420HOME
9201711277HOME
방문년도방문월방문일자방문자수방문자대상 사이트
26052021823652BANK
260620218231,992HOME
260720218241,970HOME
26082021824619BANK
26092021825483BANK
261020218251,919HOME
261120218262,031HOME
26122021826452BANK
261320218271,251HOME
26142021827288BANK