Overview

Dataset statistics

Number of variables6
Number of observations581
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.6 KiB
Average record size in memory52.2 B

Variable types

Categorical2
Numeric3
Text1

Dataset

Description한국문화예술교육진흥원 대표 홈페이지 관련 소셜 네트워킹 서비스 공유 현황 2017.12 ~ 2021.08 까지의 외부 공유 현황 데이터입니다.
Author한국문화예술교육진흥원
URLhttps://www.data.go.kr/data/15088806/fileData.do

Reproduction

Analysis started2023-12-12 08:17:44.895009
Analysis finished2023-12-12 08:17:46.788374
Duration1.89 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공유연도
Categorical

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2019
191 
2020
189 
2018
99 
2021
96 
2017
 
6

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 (%)
2019 191
32.9%
2020 189
32.5%
2018 99
17.0%
2021 96
16.5%
2017 6
 
1.0%

Length

2023-12-12T17:17:46.862424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:17:46.989085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 191
32.9%
2020 189
32.5%
2018 99
17.0%
2021 96
16.5%
2017 6
 
1.0%

공유월
Real number (ℝ)

Distinct12
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7228916
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-12T17:17:47.108091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q38
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.5175387
Coefficient of variation (CV)0.6146436
Kurtosis-1.1434498
Mean5.7228916
Median Absolute Deviation (MAD)3
Skewness0.33237272
Sum3325
Variance12.373079
MonotonicityNot monotonic
2023-12-12T17:17:47.262356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 87
15.0%
5 63
10.8%
1 62
10.7%
3 55
9.5%
7 48
8.3%
8 48
8.3%
11 43
7.4%
12 42
7.2%
4 42
7.2%
6 36
6.2%
Other values (2) 55
9.5%
ValueCountFrequency (%)
1 62
10.7%
2 87
15.0%
3 55
9.5%
4 42
7.2%
5 63
10.8%
6 36
6.2%
7 48
8.3%
8 48
8.3%
9 22
 
3.8%
10 33
 
5.7%
ValueCountFrequency (%)
12 42
7.2%
11 43
7.4%
10 33
5.7%
9 22
 
3.8%
8 48
8.3%
7 48
8.3%
6 36
6.2%
5 63
10.8%
4 42
7.2%
3 55
9.5%

공유일
Real number (ℝ)

Distinct31
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.888124
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-12T17:17:47.439566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q324
95-th percentile30
Maximum31
Range30
Interquartile range (IQR)16

Descriptive statistics

Standard deviation8.9427034
Coefficient of variation (CV)0.56285459
Kurtosis-1.2774705
Mean15.888124
Median Absolute Deviation (MAD)8
Skewness0.026343356
Sum9231
Variance79.971945
MonotonicityNot monotonic
2023-12-12T17:17:47.621061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
8 33
 
5.7%
27 32
 
5.5%
21 31
 
5.3%
10 27
 
4.6%
2 25
 
4.3%
14 23
 
4.0%
4 23
 
4.0%
28 21
 
3.6%
25 20
 
3.4%
20 20
 
3.4%
Other values (21) 326
56.1%
ValueCountFrequency (%)
1 13
 
2.2%
2 25
4.3%
3 13
 
2.2%
4 23
4.0%
5 15
2.6%
6 17
2.9%
7 20
3.4%
8 33
5.7%
9 20
3.4%
10 27
4.6%
ValueCountFrequency (%)
31 14
2.4%
30 17
2.9%
29 15
2.6%
28 21
3.6%
27 32
5.5%
26 19
3.3%
25 20
3.4%
24 14
2.4%
23 17
2.9%
22 14
2.4%

공유채널
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
FACEBOOK
283 
TWITTER
142 
facebook
102 
twitter
54 

Length

Max length8
Median length8
Mean length7.6626506
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTWITTER
2nd rowTWITTER
3rd rowFACEBOOK
4th rowFACEBOOK
5th rowFACEBOOK

Common Values

ValueCountFrequency (%)
FACEBOOK 283
48.7%
TWITTER 142
24.4%
facebook 102
 
17.6%
twitter 54
 
9.3%

Length

2023-12-12T17:17:47.819574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:17:47.952979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
facebook 385
66.3%
twitter 196
33.7%

공유게시물번호
Text

Distinct70
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-12-12T17:17:48.185465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters8715
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)4.6%

Sample

1st rowMENU_ID00000228
2nd rowMENU_ID00000257
3rd rowMENU_ID00000047
4th rowMENU_ID00000257
5th rowMENU_ID00000073
ValueCountFrequency (%)
menu_id00000070 156
26.9%
menu_id00000230 73
 
12.6%
menu_id00000257 24
 
4.1%
menu_id00000730 22
 
3.8%
menu_id00000729 21
 
3.6%
menu_id00000732 20
 
3.4%
menu_id00000725 20
 
3.4%
menu_id00000228 18
 
3.1%
menu_id00000392 16
 
2.8%
menu_id00000724 15
 
2.6%
Other values (60) 196
33.7%
2023-12-12T17:17:48.547132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3387
38.9%
M 581
 
6.7%
E 581
 
6.7%
N 581
 
6.7%
U 581
 
6.7%
_ 581
 
6.7%
I 581
 
6.7%
D 581
 
6.7%
7 375
 
4.3%
2 281
 
3.2%
Other values (7) 605
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4648
53.3%
Uppercase Letter 3486
40.0%
Connector Punctuation 581
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3387
72.9%
7 375
 
8.1%
2 281
 
6.0%
3 238
 
5.1%
9 85
 
1.8%
5 84
 
1.8%
4 77
 
1.7%
1 60
 
1.3%
8 41
 
0.9%
6 20
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
M 581
16.7%
E 581
16.7%
N 581
16.7%
U 581
16.7%
I 581
16.7%
D 581
16.7%
Connector Punctuation
ValueCountFrequency (%)
_ 581
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5229
60.0%
Latin 3486
40.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3387
64.8%
_ 581
 
11.1%
7 375
 
7.2%
2 281
 
5.4%
3 238
 
4.6%
9 85
 
1.6%
5 84
 
1.6%
4 77
 
1.5%
1 60
 
1.1%
8 41
 
0.8%
Latin
ValueCountFrequency (%)
M 581
16.7%
E 581
16.7%
N 581
16.7%
U 581
16.7%
I 581
16.7%
D 581
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8715
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3387
38.9%
M 581
 
6.7%
E 581
 
6.7%
N 581
 
6.7%
U 581
 
6.7%
_ 581
 
6.7%
I 581
 
6.7%
D 581
 
6.7%
7 375
 
4.3%
2 281
 
3.2%
Other values (7) 605
 
6.9%

공유횟수
Real number (ℝ)

Distinct9
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2237522
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.2 KiB
2023-12-12T17:17:48.670393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum19
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0313301
Coefficient of variation (CV)0.8427606
Kurtosis164.03033
Mean1.2237522
Median Absolute Deviation (MAD)0
Skewness10.954003
Sum711
Variance1.0636418
MonotonicityNot monotonic
2023-12-12T17:17:48.796058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 514
88.5%
2 46
 
7.9%
3 8
 
1.4%
4 6
 
1.0%
5 3
 
0.5%
7 1
 
0.2%
6 1
 
0.2%
10 1
 
0.2%
19 1
 
0.2%
ValueCountFrequency (%)
1 514
88.5%
2 46
 
7.9%
3 8
 
1.4%
4 6
 
1.0%
5 3
 
0.5%
6 1
 
0.2%
7 1
 
0.2%
10 1
 
0.2%
19 1
 
0.2%
ValueCountFrequency (%)
19 1
 
0.2%
10 1
 
0.2%
7 1
 
0.2%
6 1
 
0.2%
5 3
 
0.5%
4 6
 
1.0%
3 8
 
1.4%
2 46
 
7.9%
1 514
88.5%

Interactions

2023-12-12T17:17:46.214361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:17:45.176996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:17:45.549286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:17:46.324906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:17:45.298055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:17:45.977658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:17:46.439677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:17:45.442119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:17:46.090606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:17:48.892820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공유연도공유월공유일공유채널공유게시물번호공유횟수
공유연도1.0000.4480.4030.1780.7140.000
공유월0.4481.0000.3360.1370.6090.000
공유일0.4030.3361.0000.0920.5580.104
공유채널0.1780.1370.0921.0000.8190.000
공유게시물번호0.7140.6090.5580.8191.0000.000
공유횟수0.0000.0000.1040.0000.0001.000
2023-12-12T17:17:49.040255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공유연도공유채널
공유연도1.0000.146
공유채널0.1461.000
2023-12-12T17:17:49.146198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공유월공유일공유횟수공유연도공유채널
공유월1.0000.0700.0150.2010.082
공유일0.0701.0000.0500.1820.093
공유횟수0.0150.0501.0000.0000.000
공유연도0.2010.1820.0001.0000.146
공유채널0.0820.0930.0000.1461.000

Missing values

2023-12-12T17:17:46.600520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:17:46.731210image/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

공유연도공유월공유일공유채널공유게시물번호공유횟수
020171228TWITTERMENU_ID000002282
120171229TWITTERMENU_ID000002571
220171229FACEBOOKMENU_ID000000471
320171229FACEBOOKMENU_ID000002571
420171230FACEBOOKMENU_ID000000731
520171230TWITTERMENU_ID000000821
6201812FACEBOOKMENU_ID000002441
7201812TWITTERMENU_ID000002361
8201812TWITTERMENU_ID000000991
9201812FACEBOOKMENU_ID000000991
공유연도공유월공유일공유채널공유게시물번호공유횟수
571202185twitterMENU_ID000008301
572202186FACEBOOKMENU_ID000002302
5732021811TWITTERMENU_ID000002281
5742021811FACEBOOKMENU_ID000000701
5752021812FACEBOOKMENU_ID000000701
5762021812facebookMENU_ID000007301
5772021813facebookMENU_ID000007301
5782021825FACEBOOKMENU_ID000000701
5792021825TWITTERMENU_ID000002301
5802021826FACEBOOKMENU_ID000002281