Overview

Dataset statistics

Number of variables10
Number of observations112
Missing cells14
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory82.2 B

Variable types

Numeric1
Text5
Categorical3
DateTime1

Dataset

Description사이언스올에서 제공하는 온라인 과학문화 프로그램에 대한 정보입니다.
Author한국과학창의재단
URLhttps://www.data.go.kr/data/15093549/fileData.do

Alerts

구분 has constant value ""Constant
대상 is highly imbalanced (57.0%)Imbalance
장소 has 11 (9.8%) missing valuesMissing
주최 has 2 (1.8%) missing valuesMissing
번호 has unique valuesUnique
URL has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:05:27.221045
Analysis finished2023-12-12 02:05:28.741451
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.5
Minimum1
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T11:05:28.855638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.55
Q128.75
median56.5
Q384.25
95-th percentile106.45
Maximum112
Range111
Interquartile range (IQR)55.5

Descriptive statistics

Standard deviation32.475632
Coefficient of variation (CV)0.57478994
Kurtosis-1.2
Mean56.5
Median Absolute Deviation (MAD)28
Skewness0
Sum6328
Variance1054.6667
MonotonicityStrictly increasing
2023-12-12T11:05:29.045837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
58 1
 
0.9%
84 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
Other values (102) 102
91.1%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
112 1
0.9%
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%

프로그램명
Text

Distinct111
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T11:05:29.403929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length28
Mean length17.348214
Min length6

Characters and Unicode

Total characters1943
Distinct characters348
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)98.2%

Sample

1st row한의학과함께하는미래사회시나리오영상공모전
2nd row제6회원자력창의력대회개최
3rd row4차산업분야비대면무료체험프로그램
4th row2020SW교육페스티벌
5th row인공지능AI을쉽게이해하는법강연참가자모집
ValueCountFrequency (%)
2021기후변화온라인백일장날씨와더불어살아가는우리 2
 
1.8%
한의학과함께하는미래사회시나리오영상공모전 1
 
0.9%
인공지능ai데이터딥러닝체험참가자모집 1
 
0.9%
아웃브레이크박테리아vs바이러스2기참가자모집 1
 
0.9%
경남과학기술아이디어경진대회 1
 
0.9%
flytothespace누리호온라인과학콘서트날자날자하늘을날아보자 1
 
0.9%
1기과학문화자원봉사서포터즈모집 1
 
0.9%
생오션홀지구의보물해양생물참가자모집 1
 
0.9%
제6회과학문화혁신포럼 1
 
0.9%
2021온라인코딩파티시즌1 1
 
0.9%
Other values (101) 101
90.2%
2023-12-12T11:05:29.930460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 60
 
3.1%
이 58
 
3.0%
학 56
 
2.9%
2 44
 
2.3%
기 36
 
1.9%
인 30
 
1.5%
라 24
 
1.2%
0 24
 
1.2%
S 24
 
1.2%
1 21
 
1.1%
Other values (338) 1566
80.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1586
81.6%
Lowercase Letter 139
 
7.2%
Uppercase Letter 112
 
5.8%
Decimal Number 106
 
5.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 60
 
3.8%
이 58
 
3.7%
학 56
 
3.5%
기 36
 
2.3%
인 30
 
1.9%
라 24
 
1.5%
회 21
 
1.3%
자 21
 
1.3%
리 21
 
1.3%
지 21
 
1.3%
Other values (288) 1238
78.1%
Uppercase Letter
ValueCountFrequency (%)
S 24
21.4%
I 17
15.2%
T 9
 
8.0%
K 8
 
7.1%
A 7
 
6.2%
M 7
 
6.2%
C 5
 
4.5%
F 4
 
3.6%
L 4
 
3.6%
D 4
 
3.6%
Other values (11) 23
20.5%
Lowercase Letter
ValueCountFrequency (%)
e 20
14.4%
o 19
13.7%
a 10
 
7.2%
n 10
 
7.2%
t 9
 
6.5%
r 9
 
6.5%
s 9
 
6.5%
i 8
 
5.8%
l 7
 
5.0%
c 7
 
5.0%
Other values (11) 31
22.3%
Decimal Number
ValueCountFrequency (%)
2 44
41.5%
0 24
22.6%
1 21
19.8%
4 7
 
6.6%
3 4
 
3.8%
5 3
 
2.8%
6 2
 
1.9%
9 1
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1586
81.6%
Latin 251
 
12.9%
Common 106
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 60
 
3.8%
이 58
 
3.7%
학 56
 
3.5%
기 36
 
2.3%
인 30
 
1.9%
라 24
 
1.5%
회 21
 
1.3%
자 21
 
1.3%
리 21
 
1.3%
지 21
 
1.3%
Other values (288) 1238
78.1%
Latin
ValueCountFrequency (%)
S 24
 
9.6%
e 20
 
8.0%
o 19
 
7.6%
I 17
 
6.8%
a 10
 
4.0%
n 10
 
4.0%
t 9
 
3.6%
r 9
 
3.6%
s 9
 
3.6%
T 9
 
3.6%
Other values (32) 115
45.8%
Common
ValueCountFrequency (%)
2 44
41.5%
0 24
22.6%
1 21
19.8%
4 7
 
6.6%
3 4
 
3.8%
5 3
 
2.8%
6 2
 
1.9%
9 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1586
81.6%
ASCII 357
 
18.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 60
 
3.8%
이 58
 
3.7%
학 56
 
3.5%
기 36
 
2.3%
인 30
 
1.9%
라 24
 
1.5%
회 21
 
1.3%
자 21
 
1.3%
리 21
 
1.3%
지 21
 
1.3%
Other values (288) 1238
78.1%
ASCII
ValueCountFrequency (%)
2 44
 
12.3%
0 24
 
6.7%
S 24
 
6.7%
1 21
 
5.9%
e 20
 
5.6%
o 19
 
5.3%
I 17
 
4.8%
a 10
 
2.8%
n 10
 
2.8%
t 9
 
2.5%
Other values (40) 159
44.5%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
온라인
112 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
온라인 112
100.0%

Length

2023-12-12T11:05:30.117489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:05:30.221972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
온라인 112
100.0%

분류
Categorical

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
교육,캠프
78 
축제,행사
13 
공연,전시
12 
기타
 
7
과학문화시설
 
2

Length

Max length6
Median length5
Mean length4.8303571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
3rd row교육,캠프
4th row축제,행사
5th row교육,캠프

Common Values

ValueCountFrequency (%)
교육,캠프 78
69.6%
축제,행사 13
 
11.6%
공연,전시 12
 
10.7%
기타 7
 
6.2%
과학문화시설 2
 
1.8%

Length

2023-12-12T11:05:30.339541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:05:30.458326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교육,캠프 78
69.6%
축제,행사 13
 
11.6%
공연,전시 12
 
10.7%
기타 7
 
6.2%
과학문화시설 2
 
1.8%

대상
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
-
94 
일반
 
8
초중고
 
8
기타
 
2

Length

Max length3
Median length1
Mean length1.2321429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 94
83.9%
일반 8
 
7.1%
초중고 8
 
7.1%
기타 2
 
1.8%

Length

2023-12-12T11:05:30.590376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:05:30.725492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
94
83.9%
일반 8
 
7.1%
초중고 8
 
7.1%
기타 2
 
1.8%

장소
Text

MISSING 

Distinct59
Distinct (%)58.4%
Missing11
Missing (%)9.8%
Memory size1.0 KiB
2023-12-12T11:05:30.967066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length34
Mean length12.029703
Min length3

Characters and Unicode

Total characters1215
Distinct characters193
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)49.5%

Sample

1st row2020 SW 교육 페스티벌 홈페이지
2nd row온라인 Zoom 회의실
3rd row온라인 생중계 (사이언스프렌즈)
4th row온라인 Zoom 회의실
5th row온라인 Zoom 회의실
ValueCountFrequency (%)
온라인 34
 
14.9%
youtube 24
 
10.5%
zoom 18
 
7.9%
홈페이지 10
 
4.4%
채널 7
 
3.1%
강의실 6
 
2.6%
뉴스룸(youtube 5
 
2.2%
삼성전자 5
 
2.2%
유튜브 5
 
2.2%
실시간 4
 
1.8%
Other values (81) 110
48.2%
2023-12-12T11:05:31.382591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
 
10.5%
o 71
 
5.8%
u 62
 
5.1%
라 37
 
3.0%
인 36
 
3.0%
e 36
 
3.0%
온 36
 
3.0%
이 31
 
2.6%
Y 31
 
2.6%
b 31
 
2.6%
Other values (183) 716
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 647
53.3%
Lowercase Letter 267
22.0%
Space Separator 128
 
10.5%
Uppercase Letter 113
 
9.3%
Other Punctuation 21
 
1.7%
Close Punctuation 15
 
1.2%
Open Punctuation 15
 
1.2%
Decimal Number 9
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
라 37
 
5.7%
인 36
 
5.6%
온 36
 
5.6%
이 31
 
4.8%
스 15
 
2.3%
지 15
 
2.3%
학 14
 
2.2%
페 14
 
2.2%
과 14
 
2.2%
실 14
 
2.2%
Other values (137) 421
65.1%
Lowercase Letter
ValueCountFrequency (%)
o 71
26.6%
u 62
23.2%
e 36
13.5%
b 31
11.6%
m 21
 
7.9%
t 10
 
3.7%
r 8
 
3.0%
w 5
 
1.9%
a 5
 
1.9%
v 3
 
1.1%
Other values (10) 15
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
Y 31
27.4%
T 31
27.4%
Z 18
15.9%
S 5
 
4.4%
L 5
 
4.4%
V 4
 
3.5%
R 4
 
3.5%
U 4
 
3.5%
W 3
 
2.7%
I 2
 
1.8%
Other values (4) 6
 
5.3%
Decimal Number
ValueCountFrequency (%)
8 3
33.3%
0 2
22.2%
2 2
22.2%
7 1
 
11.1%
6 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
/ 9
42.9%
. 6
28.6%
, 5
23.8%
: 1
 
4.8%
Space Separator
ValueCountFrequency (%)
128
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 647
53.3%
Latin 380
31.3%
Common 188
 
15.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
라 37
 
5.7%
인 36
 
5.6%
온 36
 
5.6%
이 31
 
4.8%
스 15
 
2.3%
지 15
 
2.3%
학 14
 
2.2%
페 14
 
2.2%
과 14
 
2.2%
실 14
 
2.2%
Other values (137) 421
65.1%
Latin
ValueCountFrequency (%)
o 71
18.7%
u 62
16.3%
e 36
9.5%
Y 31
8.2%
b 31
8.2%
T 31
8.2%
m 21
 
5.5%
Z 18
 
4.7%
t 10
 
2.6%
r 8
 
2.1%
Other values (24) 61
16.1%
Common
ValueCountFrequency (%)
128
68.1%
) 15
 
8.0%
( 15
 
8.0%
/ 9
 
4.8%
. 6
 
3.2%
, 5
 
2.7%
8 3
 
1.6%
0 2
 
1.1%
2 2
 
1.1%
7 1
 
0.5%
Other values (2) 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 647
53.3%
ASCII 568
46.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
22.5%
o 71
12.5%
u 62
10.9%
e 36
 
6.3%
Y 31
 
5.5%
b 31
 
5.5%
T 31
 
5.5%
m 21
 
3.7%
Z 18
 
3.2%
) 15
 
2.6%
Other values (36) 124
21.8%
Hangul
ValueCountFrequency (%)
라 37
 
5.7%
인 36
 
5.6%
온 36
 
5.6%
이 31
 
4.8%
스 15
 
2.3%
지 15
 
2.3%
학 14
 
2.2%
페 14
 
2.2%
과 14
 
2.2%
실 14
 
2.2%
Other values (137) 421
65.1%

운영기관
Text

Distinct61
Distinct (%)55.0%
Missing1
Missing (%)0.9%
Memory size1.0 KiB
2023-12-12T11:05:31.697336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length10.63964
Min length3

Characters and Unicode

Total characters1181
Distinct characters163
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)39.6%

Sample

1st row한국한의학연구원
2nd row한국원자력연구원
3rd row교육부
4th row한국과학창의재단
5th row(사)과학관과문화
ValueCountFrequency (%)
한국과학창의재단 19
 
13.4%
사)과학관과문화 9
 
6.3%
삼성이노베이션뮤지엄(s/i/m 6
 
4.2%
대전시민천문대 4
 
2.8%
충주고구려천문과학관 4
 
2.8%
과학기술정보통신부 4
 
2.8%
우주과학관 3
 
2.1%
나로우주센터 3
 
2.1%
한국항공우주연구원 3
 
2.1%
국립대구기상과학관 3
 
2.1%
Other values (69) 84
59.2%
2023-12-12T11:05:32.136814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 74
 
6.3%
과 73
 
6.2%
국 54
 
4.6%
한 42
 
3.6%
관 37
 
3.1%
32
 
2.7%
원 29
 
2.5%
재 27
 
2.3%
의 26
 
2.2%
) 24
 
2.0%
Other values (153) 763
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1018
86.2%
Uppercase Letter 39
 
3.3%
Space Separator 32
 
2.7%
Close Punctuation 24
 
2.0%
Open Punctuation 24
 
2.0%
Other Punctuation 24
 
2.0%
Lowercase Letter 20
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 74
 
7.3%
과 73
 
7.2%
국 54
 
5.3%
한 42
 
4.1%
관 37
 
3.6%
원 29
 
2.8%
재 27
 
2.7%
의 26
 
2.6%
구 24
 
2.4%
단 24
 
2.4%
Other values (123) 608
59.7%
Lowercase Letter
ValueCountFrequency (%)
n 3
15.0%
a 3
15.0%
m 2
10.0%
e 2
10.0%
t 2
10.0%
u 1
 
5.0%
r 1
 
5.0%
i 1
 
5.0%
o 1
 
5.0%
l 1
 
5.0%
Other values (3) 3
15.0%
Uppercase Letter
ValueCountFrequency (%)
S 12
30.8%
I 10
25.6%
M 6
15.4%
K 4
 
10.3%
T 3
 
7.7%
A 1
 
2.6%
C 1
 
2.6%
U 1
 
2.6%
B 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/ 13
54.2%
, 7
29.2%
· 2
 
8.3%
. 1
 
4.2%
: 1
 
4.2%
Space Separator
ValueCountFrequency (%)
32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1018
86.2%
Common 104
 
8.8%
Latin 59
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 74
 
7.3%
과 73
 
7.2%
국 54
 
5.3%
한 42
 
4.1%
관 37
 
3.6%
원 29
 
2.8%
재 27
 
2.7%
의 26
 
2.6%
구 24
 
2.4%
단 24
 
2.4%
Other values (123) 608
59.7%
Latin
ValueCountFrequency (%)
S 12
20.3%
I 10
16.9%
M 6
10.2%
K 4
 
6.8%
T 3
 
5.1%
n 3
 
5.1%
a 3
 
5.1%
m 2
 
3.4%
e 2
 
3.4%
t 2
 
3.4%
Other values (12) 12
20.3%
Common
ValueCountFrequency (%)
32
30.8%
) 24
23.1%
( 24
23.1%
/ 13
12.5%
, 7
 
6.7%
· 2
 
1.9%
. 1
 
1.0%
: 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1018
86.2%
ASCII 161
 
13.6%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 74
 
7.3%
과 73
 
7.2%
국 54
 
5.3%
한 42
 
4.1%
관 37
 
3.6%
원 29
 
2.8%
재 27
 
2.7%
의 26
 
2.6%
구 24
 
2.4%
단 24
 
2.4%
Other values (123) 608
59.7%
ASCII
ValueCountFrequency (%)
32
19.9%
) 24
14.9%
( 24
14.9%
/ 13
8.1%
S 12
 
7.5%
I 10
 
6.2%
, 7
 
4.3%
M 6
 
3.7%
K 4
 
2.5%
T 3
 
1.9%
Other values (19) 26
16.1%
None
ValueCountFrequency (%)
· 2
100.0%

주최
Text

MISSING 

Distinct61
Distinct (%)55.5%
Missing2
Missing (%)1.8%
Memory size1.0 KiB
2023-12-12T11:05:32.436554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length25
Mean length9.0727273
Min length2

Characters and Unicode

Total characters998
Distinct characters141
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)41.8%

Sample

1st row한국한의학연구원
2nd row한국원자력연구원
3rd row교육부
4th row과학기술정보통신부, 교육부
5th row(사)과학관과문화
ValueCountFrequency (%)
한국과학창의재단 14
 
10.2%
사)과학관과문화 11
 
8.0%
삼성전자 9
 
6.6%
과학기술정보통신부 8
 
5.8%
대전시민천문대 4
 
2.9%
충주고구려천문과학관 4
 
2.9%
한국항공우주연구원 3
 
2.2%
국립대구기상과학관 3
 
2.2%
국립부산과학관 3
 
2.2%
교육부 3
 
2.2%
Other values (65) 75
54.7%
2023-12-12T11:05:32.867058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 71
 
7.1%
학 67
 
6.7%
국 50
 
5.0%
한 38
 
3.8%
관 34
 
3.4%
28
 
2.8%
구 26
 
2.6%
기 24
 
2.4%
문 23
 
2.3%
원 23
 
2.3%
Other values (131) 614
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 886
88.8%
Space Separator 28
 
2.8%
Uppercase Letter 20
 
2.0%
Lowercase Letter 18
 
1.8%
Close Punctuation 16
 
1.6%
Open Punctuation 16
 
1.6%
Other Punctuation 14
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 71
 
8.0%
학 67
 
7.6%
국 50
 
5.6%
한 38
 
4.3%
관 34
 
3.8%
구 26
 
2.9%
기 24
 
2.7%
문 23
 
2.6%
원 23
 
2.6%
부 22
 
2.5%
Other values (106) 508
57.3%
Lowercase Letter
ValueCountFrequency (%)
a 3
16.7%
n 3
16.7%
e 2
11.1%
t 2
11.1%
o 1
 
5.6%
r 1
 
5.6%
i 1
 
5.6%
l 1
 
5.6%
c 1
 
5.6%
d 1
 
5.6%
Other values (2) 2
11.1%
Uppercase Letter
ValueCountFrequency (%)
S 6
30.0%
I 4
20.0%
K 4
20.0%
T 2
 
10.0%
B 1
 
5.0%
U 1
 
5.0%
C 1
 
5.0%
A 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 12
85.7%
/ 2
 
14.3%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 886
88.8%
Common 74
 
7.4%
Latin 38
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 71
 
8.0%
학 67
 
7.6%
국 50
 
5.6%
한 38
 
4.3%
관 34
 
3.8%
구 26
 
2.9%
기 24
 
2.7%
문 23
 
2.6%
원 23
 
2.6%
부 22
 
2.5%
Other values (106) 508
57.3%
Latin
ValueCountFrequency (%)
S 6
15.8%
I 4
 
10.5%
K 4
 
10.5%
a 3
 
7.9%
n 3
 
7.9%
e 2
 
5.3%
t 2
 
5.3%
T 2
 
5.3%
B 1
 
2.6%
o 1
 
2.6%
Other values (10) 10
26.3%
Common
ValueCountFrequency (%)
28
37.8%
) 16
21.6%
( 16
21.6%
, 12
16.2%
/ 2
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 886
88.8%
ASCII 112
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 71
 
8.0%
학 67
 
7.6%
국 50
 
5.6%
한 38
 
4.3%
관 34
 
3.8%
구 26
 
2.9%
기 24
 
2.7%
문 23
 
2.6%
원 23
 
2.6%
부 22
 
2.5%
Other values (106) 508
57.3%
ASCII
ValueCountFrequency (%)
28
25.0%
) 16
14.3%
( 16
14.3%
, 12
10.7%
S 6
 
5.4%
I 4
 
3.6%
K 4
 
3.6%
a 3
 
2.7%
n 3
 
2.7%
e 2
 
1.8%
Other values (15) 18
16.1%

등록일자
Date

Distinct57
Distinct (%)50.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2020-10-29 00:00:00
Maximum2021-10-20 00:00:00
2023-12-12T11:05:33.000874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:05:33.162927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

URL
Text

UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T11:05:33.370846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length224
Median length223
Mean length87.607143
Min length30

Characters and Unicode

Total characters9812
Distinct characters38
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

Unique112 ?
Unique (%)100.0%

Sample

1st rowhttps://www.scienceall.com/?p=312986
2nd rowhttps://www.scienceall.com/?p=312994
3rd rowhttps://www.scienceall.com/?p=313130
4th rowhttps://www.scienceall.com/?p=313201
5th rowhttps://www.scienceall.com/?p=313268
ValueCountFrequency (%)
https://www.scienceall.com/?p=312986 1
 
0.9%
https://www.scienceall.com/?p=312994 1
 
0.9%
https://www.scienceall.com/?p=346750 1
 
0.9%
https://www.scienceall.com/on-2 1
 
0.9%
https://www.scienceall.com/on 1
 
0.9%
https://www.scienceall.com/fly-to-the-space-%eb%88%84%eb%a6%ac%ed%98%b8-%ec%98%a8%eb%9d%bc%ec%9d%b8-%ea%b3%bc%ed%95%99%ec%bd%98%ec%84%9c%ed%8a%b8-%eb%82%a0%ec%9e%90-%eb%82%a0%ec%9e%90-%ed%95%98%eb%8a%98%ec%9d%84-%eb%82%a0 1
 
0.9%
https://www.scienceall.com/?p=345966 1
 
0.9%
https://www.scienceall.com/?p=345963 1
 
0.9%
https://www.scienceall.com/?p=345958 1
 
0.9%
https://www.scienceall.com/?p=345589 1
 
0.9%
Other values (102) 102
91.1%
2023-12-12T11:05:33.783693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
% 2025
20.6%
e 931
 
9.5%
c 805
 
8.2%
b 595
 
6.1%
9 553
 
5.6%
8 515
 
5.2%
a 477
 
4.9%
/ 393
 
4.0%
s 233
 
2.4%
t 231
 
2.4%
Other values (28) 3054
31.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4731
48.2%
Other Punctuation 2771
28.2%
Decimal Number 2080
21.2%
Dash Punctuation 175
 
1.8%
Math Symbol 55
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 931
19.7%
c 805
17.0%
b 595
12.6%
a 477
10.1%
s 233
 
4.9%
t 231
 
4.9%
l 227
 
4.8%
w 222
 
4.7%
d 216
 
4.6%
p 170
 
3.6%
Other values (11) 624
13.2%
Decimal Number
ValueCountFrequency (%)
9 553
26.6%
8 515
24.8%
4 222
10.7%
0 197
 
9.5%
3 157
 
7.5%
5 141
 
6.8%
2 101
 
4.9%
1 79
 
3.8%
6 59
 
2.8%
7 56
 
2.7%
Other Punctuation
ValueCountFrequency (%)
% 2025
73.1%
/ 393
 
14.2%
. 186
 
6.7%
: 112
 
4.0%
? 55
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 175
100.0%
Math Symbol
ValueCountFrequency (%)
= 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5081
51.8%
Latin 4731
48.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 931
19.7%
c 805
17.0%
b 595
12.6%
a 477
10.1%
s 233
 
4.9%
t 231
 
4.9%
l 227
 
4.8%
w 222
 
4.7%
d 216
 
4.6%
p 170
 
3.6%
Other values (11) 624
13.2%
Common
ValueCountFrequency (%)
% 2025
39.9%
9 553
 
10.9%
8 515
 
10.1%
/ 393
 
7.7%
4 222
 
4.4%
0 197
 
3.9%
. 186
 
3.7%
- 175
 
3.4%
3 157
 
3.1%
5 141
 
2.8%
Other values (7) 517
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9812
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
% 2025
20.6%
e 931
 
9.5%
c 805
 
8.2%
b 595
 
6.1%
9 553
 
5.6%
8 515
 
5.2%
a 477
 
4.9%
/ 393
 
4.0%
s 233
 
2.4%
t 231
 
2.4%
Other values (28) 3054
31.1%

Interactions

2023-12-12T11:05:28.198821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:05:33.912049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호분류대상장소운영기관주최등록일자
번호1.0000.4410.6640.8580.8660.8530.962
분류0.4411.0000.0000.9730.0000.5670.897
대상0.6640.0001.0000.0000.7620.7960.000
장소0.8580.9730.0001.0000.8950.7910.987
운영기관0.8660.0000.7620.8951.0001.0000.000
주최0.8530.5670.7960.7911.0001.0000.000
등록일자0.9620.8970.0000.9870.0000.0001.000
2023-12-12T11:05:34.026653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류대상
분류1.0000.000
대상0.0001.000
2023-12-12T11:05:34.122238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호분류대상
번호1.0000.1920.451
분류0.1921.0000.000
대상0.4510.0001.000

Missing values

2023-12-12T11:05:28.347003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:05:28.519145image/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.
2023-12-12T11:05:28.684301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호프로그램명구분분류대상장소운영기관주최등록일자URL
01한의학과함께하는미래사회시나리오영상공모전온라인기타-<NA>한국한의학연구원한국한의학연구원2020-10-29https://www.scienceall.com/?p=312986
12제6회원자력창의력대회개최온라인기타-<NA>한국원자력연구원한국원자력연구원2020-10-29https://www.scienceall.com/?p=312994
234차산업분야비대면무료체험프로그램온라인교육,캠프-<NA>교육부교육부2020-10-30https://www.scienceall.com/?p=313130
342020SW교육페스티벌온라인축제,행사-2020 SW 교육 페스티벌 홈페이지한국과학창의재단과학기술정보통신부, 교육부2020-10-30https://www.scienceall.com/?p=313201
45인공지능AI을쉽게이해하는법강연참가자모집온라인교육,캠프-온라인 Zoom 회의실(사)과학관과문화(사)과학관과문화2020-11-02https://www.scienceall.com/?p=313268
562020제1차기업과학기술CSR컨퍼런스온라인축제,행사-온라인 생중계 (사이언스프렌즈)한국과학창의재단한국과학창의재단2020-11-02https://www.scienceall.com/?p=313272
67인공지능AI해봤니온라인교육,캠프-온라인 Zoom 회의실(사)화학관과문화(사)화학관과문화2020-11-04https://www.scienceall.com/?p=313500
78전문해설과함께하는미국스미소니언자연사박물관Virtual투어온라인교육,캠프-온라인 Zoom 회의실한국과학창의재단(사)과학관과문화2020-11-04https://www.scienceall.com/?p=313528
89하나고르기와함께하는온라인방콕하나콕과학관탐방온라인교육,캠프-온라인 Zoom 회의실(사)과학관과문화(사)과학관과문화2020-11-04https://www.scienceall.com/?p=313531
910IBSArtinScience공모전온라인축제,행사-<NA>기초과학연구원(IBS)기초과학연구원(IBS)2020-11-04https://www.scienceall.com/?p=313542
번호프로그램명구분분류대상장소운영기관주최등록일자URL
102103존베어드와TV삼성이노베이션뮤지엄이들려주는세상을바꾼전자산업사이야기2편온라인교육,캠프-삼성전자 뉴스룸(Youtube)삼성이노베이션뮤지엄(S/I/M)삼성전자2021-09-16https://www.scienceall.com/?p=349207
103104제3회과총청소년멘토링콘서트온라인교육,캠프-실시간 온라인 참여(당일 접수)미래세대위원회한국과학기술단체총연합회2021-09-17https://www.scienceall.com/%ec%a0%9c-3%ed%9a%8c-%ea%b3%bc%ec%b4%9d-%ec%b2%ad%ec%86%8c%eb%85%84-%eb%a9%98%ed%86%a0%eb%a7%81-%ec%bd%98%ec%84%9c%ed%8a%b8/
104105알렉산더벨과전화기삼성이노베이션뮤지엄이들려주는세상을바꾼전자산업사이야기3편온라인교육,캠프-삼성전자 뉴스룸(Youtube)삼성이노베이션뮤지엄(S/I/M)삼성전자2021-09-30https://www.scienceall.com/?p=349745
1051062021년충북청소년페임랩온라인축제,행사-온라인충청북도교육청, 한국교통대학교, 충북과학문화거점센터과학기술정보통신부, 충청북도, 한국과학창의재단2021-09-28https://www.scienceall.com/2021%eb%85%84-%ec%b6%a9%eb%b6%81%ec%b2%ad%ec%86%8c%eb%85%84-%ed%8e%98%ec%9e%84%eb%9e%a9/
106107홍교수의방콕하나콕사이언스요리과학이되다치즈버터만들기온라인교육,캠프-온라인 Zoom 강의(사)과학관과문화한국과학창의재단2021-10-01https://www.scienceall.com/%ed%99%8d%ea%b5%90%ec%88%98%ec%9d%98-%eb%b0%a9%ec%bd%95%ed%95%98%eb%82%98%ec%bd%95-%ec%82%ac%ec%9d%b4%ec%96%b8%ec%8a%a4-%ec%9a%94%eb%a6%ac-%ea%b3%bc%ed%95%99%ec%9d%b4-%eb%90%98%eb%8b%a4-%ec%b9%98/
107108제임스해리슨과냉장고삼성이노베이션뮤지엄이들려주는세상을바꾼전자산업사이야기4편온라인교육,캠프-삼성전자 뉴스룸(Youtube)삼성이노베이션뮤지엄(S/I/M)삼성전자2021-10-07https://www.scienceall.com/?p=349942
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109110해외과학관에서찾아보는4차산업혁명팬데믹하나로연결된세계온라인교육,캠프-온라인 Zoom 강의실한국과학창의재단(사)과학관과문화2021-10-13https://www.scienceall.com/%e3%80%8c%ed%95%b4%ec%99%b8%ea%b3%bc%ed%95%99%ea%b4%80%ec%97%90%ec%84%9c-%ec%b0%be%ec%95%84%eb%b3%b4%eb%8a%94-4-%ec%b0%a8-%ec%82%b0%ec%97%85%ed%98%81%eb%aa%85%e3%80%8d-%ed%8c%ac%eb%8d%b0%eb%af%b9/
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