Overview

Dataset statistics

Number of variables8
Number of observations230
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.0 KiB
Average record size in memory66.6 B

Variable types

Numeric2
Text4
Categorical1
DateTime1

Dataset

Description2023년 12월 기준 한국지능정보사회진흥원(NIA)에서 운영하는 아름다운 인터넷 세상 포털 콘텐츠 정보(교육자료명, 대상, 제작년도 등)입니다.해당 데이터가 보유한 컬럼은 다음과 같습니다.컬럼명 : 번호, 교육자료명, 대상, 제작년도, 분량, 내용, 주소(URL), 등록일
Author한국지능정보사회진흥원
URLhttps://www.data.go.kr/data/15038413/fileData.do

Alerts

번호 is highly overall correlated with 제작년도High correlation
제작년도 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique
주소(URL) has unique valuesUnique

Reproduction

Analysis started2023-12-16 15:19:31.062578
Analysis finished2023-12-16 15:19:37.045125
Duration5.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct230
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.5
Minimum1
Maximum230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-16T15:19:37.467113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.45
Q158.25
median115.5
Q3172.75
95-th percentile218.55
Maximum230
Range229
Interquartile range (IQR)114.5

Descriptive statistics

Standard deviation66.539462
Coefficient of variation (CV)0.57609924
Kurtosis-1.2
Mean115.5
Median Absolute Deviation (MAD)57.5
Skewness0
Sum26565
Variance4427.5
MonotonicityStrictly increasing
2023-12-16T15:19:38.143219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
146 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
Other values (220) 220
95.7%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%
Distinct228
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-16T15:19:39.549505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length31.5
Mean length20.308696
Min length7

Characters and Unicode

Total characters4671
Distinct characters441
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique226 ?
Unique (%)98.3%

Sample

1st row[키크니 웹툰] 생성형 AI 활용 윤리
2nd row[키크니 웹툰] 함께 실천하는 디지털윤리 대응 가이드
3rd row직장인 디지털윤리 교육자료(교수자용)
4th row우리가 슈퍼람쥐(동요)
5th row고령층 디지털 안전(액션카드) 교구 설명서
ValueCountFrequency (%)
36
 
3.4%
디지털윤리 20
 
1.9%
초등 18
 
1.7%
지도서 18
 
1.7%
디지털 16
 
1.5%
인터넷윤리 14
 
1.3%
유아 13
 
1.2%
교육 13
 
1.2%
교사용 12
 
1.1%
중고등 11
 
1.0%
Other values (526) 900
84.0%
2023-12-16T15:19:41.755919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
842
 
18.0%
115
 
2.5%
[ 97
 
2.1%
] 96
 
2.1%
83
 
1.8%
80
 
1.7%
78
 
1.7%
69
 
1.5%
67
 
1.4%
63
 
1.3%
Other values (431) 3081
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3307
70.8%
Space Separator 842
 
18.0%
Open Punctuation 127
 
2.7%
Close Punctuation 127
 
2.7%
Decimal Number 99
 
2.1%
Lowercase Letter 58
 
1.2%
Other Punctuation 39
 
0.8%
Dash Punctuation 37
 
0.8%
Uppercase Letter 35
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
115
 
3.5%
83
 
2.5%
80
 
2.4%
78
 
2.4%
69
 
2.1%
67
 
2.0%
63
 
1.9%
63
 
1.9%
60
 
1.8%
56
 
1.7%
Other values (383) 2573
77.8%
Lowercase Letter
ValueCountFrequency (%)
t 7
12.1%
i 7
12.1%
g 6
10.3%
a 6
10.3%
n 6
10.3%
e 6
10.3%
r 5
8.6%
o 3
5.2%
s 3
5.2%
l 2
 
3.4%
Other values (6) 7
12.1%
Uppercase Letter
ValueCountFrequency (%)
X 13
37.1%
S 3
 
8.6%
N 3
 
8.6%
I 3
 
8.6%
A 3
 
8.6%
O 2
 
5.7%
L 2
 
5.7%
D 2
 
5.7%
P 2
 
5.7%
M 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
2 30
30.3%
1 26
26.3%
0 17
17.2%
3 8
 
8.1%
6 6
 
6.1%
7 5
 
5.1%
4 3
 
3.0%
8 2
 
2.0%
5 2
 
2.0%
Other Punctuation
ValueCountFrequency (%)
! 15
38.5%
' 9
23.1%
. 6
 
15.4%
· 4
 
10.3%
, 4
 
10.3%
& 1
 
2.6%
Open Punctuation
ValueCountFrequency (%)
[ 97
76.4%
( 30
 
23.6%
Close Punctuation
ValueCountFrequency (%)
] 96
75.6%
) 31
 
24.4%
Space Separator
ValueCountFrequency (%)
842
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3307
70.8%
Common 1271
 
27.2%
Latin 93
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
115
 
3.5%
83
 
2.5%
80
 
2.4%
78
 
2.4%
69
 
2.1%
67
 
2.0%
63
 
1.9%
63
 
1.9%
60
 
1.8%
56
 
1.7%
Other values (383) 2573
77.8%
Latin
ValueCountFrequency (%)
X 13
14.0%
t 7
 
7.5%
i 7
 
7.5%
g 6
 
6.5%
a 6
 
6.5%
n 6
 
6.5%
e 6
 
6.5%
r 5
 
5.4%
S 3
 
3.2%
o 3
 
3.2%
Other values (17) 31
33.3%
Common
ValueCountFrequency (%)
842
66.2%
[ 97
 
7.6%
] 96
 
7.6%
- 37
 
2.9%
) 31
 
2.4%
2 30
 
2.4%
( 30
 
2.4%
1 26
 
2.0%
0 17
 
1.3%
! 15
 
1.2%
Other values (11) 50
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3307
70.8%
ASCII 1360
29.1%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
842
61.9%
[ 97
 
7.1%
] 96
 
7.1%
- 37
 
2.7%
) 31
 
2.3%
2 30
 
2.2%
( 30
 
2.2%
1 26
 
1.9%
0 17
 
1.2%
! 15
 
1.1%
Other values (37) 139
 
10.2%
Hangul
ValueCountFrequency (%)
115
 
3.5%
83
 
2.5%
80
 
2.4%
78
 
2.4%
69
 
2.1%
67
 
2.0%
63
 
1.9%
63
 
1.9%
60
 
1.8%
56
 
1.7%
Other values (383) 2573
77.8%
None
ValueCountFrequency (%)
· 4
100.0%

대상
Categorical

Distinct20
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
초등
39 
유아
36 
전체
32 
성인
31 
중등
28 
Other values (15)
64 

Length

Max length19
Median length2
Mean length2.9173913
Min length2

Unique

Unique5 ?
Unique (%)2.2%

Sample

1st row전체
2nd row전체
3rd row성인
4th row유아
5th row고령층

Common Values

ValueCountFrequency (%)
초등 39
17.0%
유아 36
15.7%
전체 32
13.9%
성인 31
13.5%
중등 28
12.2%
유아, 초등 10
 
4.3%
군인 8
 
3.5%
학부모 8
 
3.5%
장애학생 7
 
3.0%
초등, 중등 7
 
3.0%
Other values (10) 24
10.4%

Length

2023-12-16T15:19:42.438208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
초등 57
22.5%
유아 46
18.2%
중등 40
15.8%
전체 32
12.6%
성인 31
12.3%
고등 11
 
4.3%
군인 8
 
3.2%
학부모 8
 
3.2%
장애학생 7
 
2.8%
유아,초등학생,중등학생,성인,학부모 4
 
1.6%
Other values (6) 9
 
3.6%

제작년도
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.3304
Minimum2011
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-16T15:19:42.969831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2012
Q12016
median2019
Q32021
95-th percentile2023
Maximum2023
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.2701421
Coefficient of variation (CV)0.0016202214
Kurtosis-0.41393333
Mean2018.3304
Median Absolute Deviation (MAD)2
Skewness-0.60941573
Sum464216
Variance10.69383
MonotonicityNot monotonic
2023-12-16T15:19:43.591725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2019 41
17.8%
2022 28
12.2%
2018 28
12.2%
2016 24
10.4%
2012 23
10.0%
2020 22
9.6%
2023 18
7.8%
2021 18
7.8%
2017 16
 
7.0%
2013 6
 
2.6%
Other values (2) 6
 
2.6%
ValueCountFrequency (%)
2011 3
 
1.3%
2012 23
10.0%
2013 6
 
2.6%
2014 3
 
1.3%
2016 24
10.4%
2017 16
 
7.0%
2018 28
12.2%
2019 41
17.8%
2020 22
9.6%
2021 18
7.8%
ValueCountFrequency (%)
2023 18
7.8%
2022 28
12.2%
2021 18
7.8%
2020 22
9.6%
2019 41
17.8%
2018 28
12.2%
2017 16
 
7.0%
2016 24
10.4%
2014 3
 
1.3%
2013 6
 
2.6%

분량
Text

Distinct158
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-16T15:19:44.703635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length4.5608696
Min length2

Characters and Unicode

Total characters1049
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)56.1%

Sample

1st row10페이지
2nd row10페이지
3rd row7분 38초
4th row1분 40초
5th row45페이지
ValueCountFrequency (%)
2분 35
 
11.9%
1분 18
 
6.1%
1차시 12
 
4.1%
3분 11
 
3.8%
4분 9
 
3.1%
12분 6
 
2.0%
5초 5
 
1.7%
100페이지 5
 
1.7%
7분 5
 
1.7%
5분 5
 
1.7%
Other values (130) 182
62.1%
2023-12-16T15:19:46.698214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
12.0%
1 108
10.3%
2 92
8.8%
85
 
8.1%
85
 
8.1%
85
 
8.1%
72
 
6.9%
64
 
6.1%
3 63
 
6.0%
0 49
 
4.7%
Other values (13) 220
21.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 498
47.5%
Other Letter 486
46.3%
Space Separator 64
 
6.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
126
25.9%
85
17.5%
85
17.5%
85
17.5%
72
14.8%
13
 
2.7%
12
 
2.5%
4
 
0.8%
2
 
0.4%
1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 108
21.7%
2 92
18.5%
3 63
12.7%
0 49
9.8%
4 45
9.0%
5 44
8.8%
8 28
 
5.6%
6 26
 
5.2%
7 24
 
4.8%
9 19
 
3.8%
Space Separator
ValueCountFrequency (%)
64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 563
53.7%
Hangul 486
46.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 108
19.2%
2 92
16.3%
64
11.4%
3 63
11.2%
0 49
8.7%
4 45
8.0%
5 44
7.8%
8 28
 
5.0%
6 26
 
4.6%
7 24
 
4.3%
Other values (2) 20
 
3.6%
Hangul
ValueCountFrequency (%)
126
25.9%
85
17.5%
85
17.5%
85
17.5%
72
14.8%
13
 
2.7%
12
 
2.5%
4
 
0.8%
2
 
0.4%
1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 563
53.7%
Hangul 486
46.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
126
25.9%
85
17.5%
85
17.5%
85
17.5%
72
14.8%
13
 
2.7%
12
 
2.5%
4
 
0.8%
2
 
0.4%
1
 
0.2%
ASCII
ValueCountFrequency (%)
1 108
19.2%
2 92
16.3%
64
11.4%
3 63
11.2%
0 49
8.7%
4 45
8.0%
5 44
7.8%
8 28
 
5.0%
6 26
 
4.6%
7 24
 
4.3%
Other values (2) 20
 
3.6%

내용
Text

Distinct228
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-16T15:19:48.109861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length31.5
Mean length20.308696
Min length7

Characters and Unicode

Total characters4671
Distinct characters441
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique226 ?
Unique (%)98.3%

Sample

1st row[키크니 웹툰] 생성형 AI 활용 윤리
2nd row[키크니 웹툰] 함께 실천하는 디지털윤리 대응 가이드
3rd row직장인 디지털윤리 교육자료(교수자용)
4th row우리가 슈퍼람쥐(동요)
5th row고령층 디지털 안전(액션카드) 교구 설명서
ValueCountFrequency (%)
36
 
3.4%
디지털윤리 20
 
1.9%
초등 18
 
1.7%
지도서 18
 
1.7%
디지털 16
 
1.5%
인터넷윤리 14
 
1.3%
유아 13
 
1.2%
교육 13
 
1.2%
교사용 12
 
1.1%
중고등 11
 
1.0%
Other values (526) 900
84.0%
2023-12-16T15:19:50.554322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
842
 
18.0%
115
 
2.5%
[ 97
 
2.1%
] 96
 
2.1%
83
 
1.8%
80
 
1.7%
78
 
1.7%
69
 
1.5%
67
 
1.4%
63
 
1.3%
Other values (431) 3081
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3307
70.8%
Space Separator 842
 
18.0%
Open Punctuation 127
 
2.7%
Close Punctuation 127
 
2.7%
Decimal Number 99
 
2.1%
Lowercase Letter 58
 
1.2%
Other Punctuation 39
 
0.8%
Dash Punctuation 37
 
0.8%
Uppercase Letter 35
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
115
 
3.5%
83
 
2.5%
80
 
2.4%
78
 
2.4%
69
 
2.1%
67
 
2.0%
63
 
1.9%
63
 
1.9%
60
 
1.8%
56
 
1.7%
Other values (383) 2573
77.8%
Lowercase Letter
ValueCountFrequency (%)
t 7
12.1%
i 7
12.1%
g 6
10.3%
a 6
10.3%
n 6
10.3%
e 6
10.3%
r 5
8.6%
o 3
5.2%
s 3
5.2%
l 2
 
3.4%
Other values (6) 7
12.1%
Uppercase Letter
ValueCountFrequency (%)
X 13
37.1%
S 3
 
8.6%
N 3
 
8.6%
I 3
 
8.6%
A 3
 
8.6%
O 2
 
5.7%
L 2
 
5.7%
D 2
 
5.7%
P 2
 
5.7%
M 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
2 30
30.3%
1 26
26.3%
0 17
17.2%
3 8
 
8.1%
6 6
 
6.1%
7 5
 
5.1%
4 3
 
3.0%
8 2
 
2.0%
5 2
 
2.0%
Other Punctuation
ValueCountFrequency (%)
! 15
38.5%
' 9
23.1%
. 6
 
15.4%
· 4
 
10.3%
, 4
 
10.3%
& 1
 
2.6%
Open Punctuation
ValueCountFrequency (%)
[ 97
76.4%
( 30
 
23.6%
Close Punctuation
ValueCountFrequency (%)
] 96
75.6%
) 31
 
24.4%
Space Separator
ValueCountFrequency (%)
842
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3307
70.8%
Common 1271
 
27.2%
Latin 93
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
115
 
3.5%
83
 
2.5%
80
 
2.4%
78
 
2.4%
69
 
2.1%
67
 
2.0%
63
 
1.9%
63
 
1.9%
60
 
1.8%
56
 
1.7%
Other values (383) 2573
77.8%
Latin
ValueCountFrequency (%)
X 13
14.0%
t 7
 
7.5%
i 7
 
7.5%
g 6
 
6.5%
a 6
 
6.5%
n 6
 
6.5%
e 6
 
6.5%
r 5
 
5.4%
S 3
 
3.2%
o 3
 
3.2%
Other values (17) 31
33.3%
Common
ValueCountFrequency (%)
842
66.2%
[ 97
 
7.6%
] 96
 
7.6%
- 37
 
2.9%
) 31
 
2.4%
2 30
 
2.4%
( 30
 
2.4%
1 26
 
2.0%
0 17
 
1.3%
! 15
 
1.2%
Other values (11) 50
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3307
70.8%
ASCII 1360
29.1%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
842
61.9%
[ 97
 
7.1%
] 96
 
7.1%
- 37
 
2.7%
) 31
 
2.3%
2 30
 
2.2%
( 30
 
2.2%
1 26
 
1.9%
0 17
 
1.2%
! 15
 
1.1%
Other values (37) 139
 
10.2%
Hangul
ValueCountFrequency (%)
115
 
3.5%
83
 
2.5%
80
 
2.4%
78
 
2.4%
69
 
2.1%
67
 
2.0%
63
 
1.9%
63
 
1.9%
60
 
1.8%
56
 
1.7%
Other values (383) 2573
77.8%
None
ValueCountFrequency (%)
· 4
100.0%

주소(URL)
Text

UNIQUE 

Distinct230
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-16T15:19:53.513932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length77
Mean length77
Min length77

Characters and Unicode

Total characters17710
Distinct characters35
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique230 ?
Unique (%)100.0%

Sample

1st rowhttp://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC000000000771
2nd rowhttp://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC000000000770
3rd rowhttp://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC000000000769
4th rowhttp://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC000000000768
5th rowhttp://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC000000000767
ValueCountFrequency (%)
http://ainse.kr/front/archive/archivedetail.dosearcharchiveid=arc000000000771 1
 
0.4%
http://ainse.kr/front/archive/archivedetail.dosearcharchiveid=arc000000000550 1
 
0.4%
http://ainse.kr/front/archive/archivedetail.dosearcharchiveid=arc000000000548 1
 
0.4%
http://ainse.kr/front/archive/archivedetail.dosearcharchiveid=arc000000000547 1
 
0.4%
http://ainse.kr/front/archive/archivedetail.dosearcharchiveid=arc000000000539 1
 
0.4%
http://ainse.kr/front/archive/archivedetail.dosearcharchiveid=arc000000000538 1
 
0.4%
http://ainse.kr/front/archive/archivedetail.dosearcharchiveid=arc000000000533 1
 
0.4%
http://ainse.kr/front/archive/archivedetail.dosearcharchiveid=arc000000000532 1
 
0.4%
http://ainse.kr/front/archive/archivedetail.dosearcharchiveid=arc000000000531 1
 
0.4%
http://ainse.kr/front/archive/archivedetail.dosearcharchiveid=arc000000000530 1
 
0.4%
Other values (220) 220
95.7%
2023-12-16T15:19:55.520642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2146
 
12.1%
r 1380
 
7.8%
e 1380
 
7.8%
h 1150
 
6.5%
/ 1150
 
6.5%
a 1150
 
6.5%
i 1150
 
6.5%
t 920
 
5.2%
c 920
 
5.2%
v 690
 
3.9%
Other values (25) 5674
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11500
64.9%
Decimal Number 2760
 
15.6%
Other Punctuation 1840
 
10.4%
Uppercase Letter 1380
 
7.8%
Math Symbol 230
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 1380
12.0%
e 1380
12.0%
h 1150
10.0%
a 1150
10.0%
i 1150
10.0%
t 920
8.0%
c 920
8.0%
v 690
 
6.0%
o 460
 
4.0%
s 460
 
4.0%
Other values (6) 1840
16.0%
Decimal Number
ValueCountFrequency (%)
0 2146
77.8%
5 107
 
3.9%
7 105
 
3.8%
6 92
 
3.3%
1 87
 
3.2%
3 52
 
1.9%
4 46
 
1.7%
9 44
 
1.6%
2 41
 
1.5%
8 40
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
A 460
33.3%
R 230
16.7%
C 230
16.7%
I 230
16.7%
D 230
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 1150
62.5%
. 460
 
25.0%
: 230
 
12.5%
Math Symbol
ValueCountFrequency (%)
= 230
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12880
72.7%
Common 4830
 
27.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 1380
10.7%
e 1380
10.7%
h 1150
 
8.9%
a 1150
 
8.9%
i 1150
 
8.9%
t 920
 
7.1%
c 920
 
7.1%
v 690
 
5.4%
o 460
 
3.6%
A 460
 
3.6%
Other values (11) 3220
25.0%
Common
ValueCountFrequency (%)
0 2146
44.4%
/ 1150
23.8%
. 460
 
9.5%
= 230
 
4.8%
: 230
 
4.8%
5 107
 
2.2%
7 105
 
2.2%
6 92
 
1.9%
1 87
 
1.8%
3 52
 
1.1%
Other values (4) 171
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17710
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2146
 
12.1%
r 1380
 
7.8%
e 1380
 
7.8%
h 1150
 
6.5%
/ 1150
 
6.5%
a 1150
 
6.5%
i 1150
 
6.5%
t 920
 
5.2%
c 920
 
5.2%
v 690
 
3.9%
Other values (25) 5674
32.0%
Distinct82
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2013-12-30 00:00:00
Maximum2023-12-01 00:00:00
2023-12-16T15:19:56.384678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:19:57.287085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-16T15:19:35.120272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:19:34.240863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:19:35.593204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:19:34.729569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T15:19:58.004720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호대상제작년도등록일
번호1.0000.6630.8840.994
대상0.6631.0000.6110.874
제작년도0.8840.6111.0000.989
등록일0.9940.8740.9891.000
2023-12-16T15:19:58.414541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호제작년도대상
번호1.000-0.9400.264
제작년도-0.9401.0000.276
대상0.2640.2761.000

Missing values

2023-12-16T15:19:36.137244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:19:36.880303image/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

번호교육자료명대상제작년도분량내용주소(URL)등록일
01[키크니 웹툰] 생성형 AI 활용 윤리전체202310페이지[키크니 웹툰] 생성형 AI 활용 윤리http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000007712023-12-01
12[키크니 웹툰] 함께 실천하는 디지털윤리 대응 가이드전체202310페이지[키크니 웹툰] 함께 실천하는 디지털윤리 대응 가이드http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000007702023-12-01
23직장인 디지털윤리 교육자료(교수자용)성인20237분 38초직장인 디지털윤리 교육자료(교수자용)http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000007692023-12-01
34우리가 슈퍼람쥐(동요)유아20231분 40초우리가 슈퍼람쥐(동요)http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000007682023-12-01
45고령층 디지털 안전(액션카드) 교구 설명서고령층202345페이지고령층 디지털 안전(액션카드) 교구 설명서http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000007672023-12-01
56발달장애 청소년 디지털윤리 활동북장애학생202315페이지발달장애 청소년 디지털윤리 활동북http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000007662023-12-01
67사이버폭력 관련 법위반자 교육자료(교수자용)교사20237분 8초사이버폭력 관련 법위반자 교육자료(교수자용)http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000007652023-12-01
78군인 디지털윤리 교육자료(교수자용)군인20237분 5초군인 디지털윤리 교육자료(교수자용)http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000007642023-12-01
89군인이 지켜야 할 디지털윤리군인20234페이지군인이 지켜야 할 디지털윤리http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000007632023-12-01
910디지털윤리 10가지 수칙전체20231페이지디지털윤리 10가지 수칙http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000007622023-12-01
번호교육자료명대상제작년도분량내용주소(URL)등록일
220221[중등] 사이버 성폭력중등20121분 18초[중등] 사이버 성폭력http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000000092013-12-30
221222[중등] 사이버 강요중등20122분 40초[중등] 사이버 강요http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000000102013-12-30
222223[중등] 사이버 괴담중등20122분 13초[중등] 사이버 괴담http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000000112013-12-30
223224[중등] 폭력인식중등20122분 56초[중등] 폭력인식http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000000122013-12-30
224225[초등] 사이버 왕따초등20122분 32초[초등] 사이버 왕따http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000000142013-12-30
225226[초등] 사이버 명예훼손초등20122분 18초[초등] 사이버 명예훼손http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000000152013-12-30
226227[초등] 폭력인식초등20122분 33초[초등] 폭력인식http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000000172013-12-30
227228[동화] 인터넷을 사랑한 공주님유아20138분[동화] 인터넷을 사랑한 공주님http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000000922013-12-30
228229유아인터넷미디어체험교실(단기)유아201125페이지유아인터넷미디어체험교실(단기)http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000000932013-12-30
229230유아인터넷미디어체험교실(장기)유아201161페이지유아인터넷미디어체험교실(장기)http://ainse.kr/front/archive/archiveDetail.dosearchArchiveId=ARC0000000000942013-12-30