Overview

Dataset statistics

Number of variables12
Number of observations88
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.5 KiB
Average record size in memory98.5 B

Variable types

Numeric1
Text5
Categorical4
DateTime2

Dataset

Description코로나19의 영향으로 기존 대비 온라인 과학문화 프로그램이 늘어남. 공간과 시간의 제약을 받지 않고 온 국민이 향유할 수 있는 2020년~2021년에 진행한 온라인 과학문화 프로그램 정보를 제공함. 한국과학창의재단에서 운영하는 과학문화 대표 포털 사이언스올에서 매년 온라인 과학문화 프로그램을 업데이트하여 제공하고 있음
Author한국과학창의재단
URLhttps://www.data.go.kr/data/15091337/fileData.do

Alerts

프로그램 구분 has constant value ""Constant
지역구분 is highly imbalanced (75.4%)Imbalance
구분(NO) has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:47:23.779311
Analysis finished2023-12-12 21:47:25.466047
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분(NO)
Real number (ℝ)

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.5
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2023-12-13T06:47:25.539915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.35
Q122.75
median44.5
Q366.25
95-th percentile83.65
Maximum88
Range87
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation25.547342
Coefficient of variation (CV)0.57409757
Kurtosis-1.2
Mean44.5
Median Absolute Deviation (MAD)22
Skewness0
Sum3916
Variance652.66667
MonotonicityStrictly increasing
2023-12-13T06:47:25.682899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
46 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
Other values (78) 78
88.6%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%
79 1
1.1%

제목
Text

Distinct87
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-13T06:47:26.041666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length30
Mean length19.022727
Min length6

Characters and Unicode

Total characters1674
Distinct characters311
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)97.7%

Sample

1st row온라인 과학동아리활동발표대회
2nd row2021 기술 입은 문화예술교육 빛으로 만드는 나만의 무대
3rd rowFly to the space 누리호 온라인 과학콘서트 인공위성 어디까지 아니
4th rowSK하이닉스 하인슈타인 과학인재 양성교육
5th row교수님 미래과학기술이 궁금합니다만
ValueCountFrequency (%)
온라인 14
 
3.7%
2021 9
 
2.4%
모집 6
 
1.6%
우리 5
 
1.3%
2020 4
 
1.1%
과학기술 4
 
1.1%
참가자 4
 
1.1%
과학문화 4
 
1.1%
강연 4
 
1.1%
4월 3
 
0.8%
Other values (267) 321
84.9%
2023-12-13T06:47:26.547405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
290
 
17.3%
47
 
2.8%
45
 
2.7%
2 37
 
2.2%
24
 
1.4%
24
 
1.4%
22
 
1.3%
0 21
 
1.3%
19
 
1.1%
S 19
 
1.1%
Other values (301) 1126
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1073
64.1%
Space Separator 290
 
17.3%
Lowercase Letter 109
 
6.5%
Decimal Number 85
 
5.1%
Uppercase Letter 84
 
5.0%
Close Punctuation 11
 
0.7%
Open Punctuation 11
 
0.7%
Other Punctuation 8
 
0.5%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
47
 
4.4%
45
 
4.2%
24
 
2.2%
24
 
2.2%
22
 
2.1%
19
 
1.8%
18
 
1.7%
15
 
1.4%
15
 
1.4%
14
 
1.3%
Other values (246) 830
77.4%
Lowercase Letter
ValueCountFrequency (%)
o 17
15.6%
e 15
13.8%
r 8
 
7.3%
a 8
 
7.3%
t 7
 
6.4%
c 6
 
5.5%
n 6
 
5.5%
i 6
 
5.5%
l 6
 
5.5%
s 5
 
4.6%
Other values (11) 25
22.9%
Uppercase Letter
ValueCountFrequency (%)
S 19
22.6%
I 11
13.1%
K 8
9.5%
A 7
 
8.3%
T 7
 
8.3%
C 5
 
6.0%
D 4
 
4.8%
M 3
 
3.6%
L 3
 
3.6%
P 3
 
3.6%
Other values (10) 14
16.7%
Decimal Number
ValueCountFrequency (%)
2 37
43.5%
0 21
24.7%
1 16
18.8%
4 5
 
5.9%
6 2
 
2.4%
5 2
 
2.4%
9 1
 
1.2%
3 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
. 1
 
12.5%
Space Separator
ValueCountFrequency (%)
290
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1072
64.0%
Common 408
 
24.4%
Latin 193
 
11.5%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
47
 
4.4%
45
 
4.2%
24
 
2.2%
24
 
2.2%
22
 
2.1%
19
 
1.8%
18
 
1.7%
15
 
1.4%
15
 
1.4%
14
 
1.3%
Other values (245) 829
77.3%
Latin
ValueCountFrequency (%)
S 19
 
9.8%
o 17
 
8.8%
e 15
 
7.8%
I 11
 
5.7%
K 8
 
4.1%
r 8
 
4.1%
a 8
 
4.1%
t 7
 
3.6%
A 7
 
3.6%
T 7
 
3.6%
Other values (31) 86
44.6%
Common
ValueCountFrequency (%)
290
71.1%
2 37
 
9.1%
0 21
 
5.1%
1 16
 
3.9%
) 11
 
2.7%
( 11
 
2.7%
, 7
 
1.7%
4 5
 
1.2%
- 3
 
0.7%
6 2
 
0.5%
Other values (4) 5
 
1.2%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1072
64.0%
ASCII 601
35.9%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
290
48.3%
2 37
 
6.2%
0 21
 
3.5%
S 19
 
3.2%
o 17
 
2.8%
1 16
 
2.7%
e 15
 
2.5%
I 11
 
1.8%
) 11
 
1.8%
( 11
 
1.8%
Other values (45) 153
25.5%
Hangul
ValueCountFrequency (%)
47
 
4.4%
45
 
4.2%
24
 
2.2%
24
 
2.2%
22
 
2.1%
19
 
1.8%
18
 
1.7%
15
 
1.4%
15
 
1.4%
14
 
1.3%
Other values (245) 829
77.3%
CJK
ValueCountFrequency (%)
1
100.0%

프로그램 구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
온라인
88 

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 88
100.0%

Length

2023-12-13T06:47:26.673433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:47:26.772424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
온라인 88
100.0%
Distinct5
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size836.0 B
교육,캠프
59 
축제,행사
12 
공연,전시
10 
기타
 
5
과학문화시설
 
2

Length

Max length6
Median length5
Mean length4.8522727
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교육,캠프 59
67.0%
축제,행사 12
 
13.6%
공연,전시 10
 
11.4%
기타 5
 
5.7%
과학문화시설 2
 
2.3%

Length

2023-12-13T06:47:26.892426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:47:27.006992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교육,캠프 59
67.0%
축제,행사 12
 
13.6%
공연,전시 10
 
11.4%
기타 5
 
5.7%
과학문화시설 2
 
2.3%

대상
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
기타
72 
초중고
일반

Length

Max length3
Median length2
Mean length2.0909091
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row초중고
2nd row기타
3rd row기타
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
기타 72
81.8%
초중고 8
 
9.1%
일반 8
 
9.1%

Length

2023-12-13T06:47:27.114644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:47:27.202810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 72
81.8%
초중고 8
 
9.1%
일반 8
 
9.1%

지역구분
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size836.0 B
전체
80 
서울
 
3
강원/부산/경남
 
2
대구/울산/경북
 
1
기타
 
1

Length

Max length8
Median length2
Mean length2.2727273
Min length2

Unique

Unique3 ?
Unique (%)3.4%

Sample

1st row전체
2nd row서울
3rd row전체
4th row전체
5th row전체

Common Values

ValueCountFrequency (%)
전체 80
90.9%
서울 3
 
3.4%
강원/부산/경남 2
 
2.3%
대구/울산/경북 1
 
1.1%
기타 1
 
1.1%
대전/세종/충정 1
 
1.1%

Length

2023-12-13T06:47:27.300635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:47:27.401168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체 80
90.9%
서울 3
 
3.4%
강원/부산/경남 2
 
2.3%
대구/울산/경북 1
 
1.1%
기타 1
 
1.1%
대전/세종/충정 1
 
1.1%
Distinct48
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-13T06:47:27.631127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length30
Mean length10.375
Min length2

Characters and Unicode

Total characters913
Distinct characters181
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

Unique42 ?
Unique (%)47.7%

Sample

1st row기타
2nd row구글 클래스룸, 줌, 패들랫
3rd row나로우주센터 우주과학관
4th row온라인 교육
5th rowYouTube 과학관과문화 TV 채널
ValueCountFrequency (%)
온라인 27
 
15.0%
youtube 23
 
12.8%
zoom 14
 
7.8%
기타 10
 
5.6%
홈페이지 9
 
5.0%
채널 6
 
3.3%
사이언스프렌즈 4
 
2.2%
회의실 4
 
2.2%
유튜브 4
 
2.2%
강의실 3
 
1.7%
Other values (68) 76
42.2%
2023-12-13T06:47:27.987921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93
 
10.2%
o 57
 
6.2%
u 50
 
5.5%
e 30
 
3.3%
29
 
3.2%
29
 
3.2%
29
 
3.2%
T 27
 
3.0%
b 25
 
2.7%
Y 24
 
2.6%
Other values (171) 520
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 481
52.7%
Lowercase Letter 220
24.1%
Space Separator 93
 
10.2%
Uppercase Letter 80
 
8.8%
Other Punctuation 16
 
1.8%
Decimal Number 9
 
1.0%
Close Punctuation 7
 
0.8%
Open Punctuation 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
 
6.0%
29
 
6.0%
29
 
6.0%
21
 
4.4%
12
 
2.5%
12
 
2.5%
11
 
2.3%
11
 
2.3%
10
 
2.1%
10
 
2.1%
Other values (128) 307
63.8%
Lowercase Letter
ValueCountFrequency (%)
o 57
25.9%
u 50
22.7%
e 30
13.6%
b 25
11.4%
m 17
 
7.7%
r 8
 
3.6%
w 5
 
2.3%
t 5
 
2.3%
a 5
 
2.3%
v 3
 
1.4%
Other values (10) 15
 
6.8%
Uppercase Letter
ValueCountFrequency (%)
T 27
33.8%
Y 24
30.0%
Z 14
17.5%
W 3
 
3.8%
S 3
 
3.8%
B 2
 
2.5%
L 2
 
2.5%
V 2
 
2.5%
K 1
 
1.2%
R 1
 
1.2%
Decimal Number
ValueCountFrequency (%)
8 3
33.3%
2 2
22.2%
0 2
22.2%
6 1
 
11.1%
7 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 6
37.5%
/ 5
31.2%
, 4
25.0%
: 1
 
6.2%
Space Separator
ValueCountFrequency (%)
93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 481
52.7%
Latin 300
32.9%
Common 132
 
14.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
 
6.0%
29
 
6.0%
29
 
6.0%
21
 
4.4%
12
 
2.5%
12
 
2.5%
11
 
2.3%
11
 
2.3%
10
 
2.1%
10
 
2.1%
Other values (128) 307
63.8%
Latin
ValueCountFrequency (%)
o 57
19.0%
u 50
16.7%
e 30
10.0%
T 27
9.0%
b 25
8.3%
Y 24
8.0%
m 17
 
5.7%
Z 14
 
4.7%
r 8
 
2.7%
w 5
 
1.7%
Other values (21) 43
14.3%
Common
ValueCountFrequency (%)
93
70.5%
) 7
 
5.3%
( 7
 
5.3%
. 6
 
4.5%
/ 5
 
3.8%
, 4
 
3.0%
8 3
 
2.3%
2 2
 
1.5%
0 2
 
1.5%
: 1
 
0.8%
Other values (2) 2
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 481
52.7%
ASCII 432
47.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
93
21.5%
o 57
13.2%
u 50
11.6%
e 30
 
6.9%
T 27
 
6.2%
b 25
 
5.8%
Y 24
 
5.6%
m 17
 
3.9%
Z 14
 
3.2%
r 8
 
1.9%
Other values (33) 87
20.1%
Hangul
ValueCountFrequency (%)
29
 
6.0%
29
 
6.0%
29
 
6.0%
21
 
4.4%
12
 
2.5%
12
 
2.5%
11
 
2.3%
11
 
2.3%
10
 
2.1%
10
 
2.1%
Other values (128) 307
63.8%
Distinct61
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum2020-09-04 00:00:00
Maximum2021-12-31 00:00:00
2023-12-13T06:47:28.122848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:47:28.241277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct54
Distinct (%)61.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum2020-10-30 00:00:00
Maximum2021-12-31 00:00:00
2023-12-13T06:47:28.366969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:47:28.509974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct55
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-13T06:47:28.760731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length10.045455
Min length2

Characters and Unicode

Total characters884
Distinct characters148
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

Unique40 ?
Unique (%)45.5%

Sample

1st row부산광역시창의융합교육원
2nd row(재)은평문화재단, 사비나미술관
3rd row한국항공우주연구원 나로우주센터 우주과학관
4th rowSK하이닉스 하인슈타인 운영사무국
5th row한국과학창의재단
ValueCountFrequency (%)
한국과학창의재단 15
 
12.9%
사)과학관과문화 5
 
4.3%
대전시민천문대 4
 
3.4%
충주고구려천문과학관 4
 
3.4%
과학기술정보통신부 4
 
3.4%
국립중앙과학관 2
 
1.7%
한국지질자원연구원 2
 
1.7%
부산광역시창의융합교육원 2
 
1.7%
우주과학관 2
 
1.7%
한국항공우주연구원 2
 
1.7%
Other values (63) 74
63.8%
2023-12-13T06:47:29.153008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57
 
6.4%
56
 
6.3%
46
 
5.2%
35
 
4.0%
31
 
3.5%
29
 
3.3%
25
 
2.8%
22
 
2.5%
22
 
2.5%
22
 
2.5%
Other values (138) 539
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 781
88.3%
Space Separator 29
 
3.3%
Uppercase Letter 21
 
2.4%
Lowercase Letter 20
 
2.3%
Close Punctuation 13
 
1.5%
Open Punctuation 13
 
1.5%
Other Punctuation 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
57
 
7.3%
56
 
7.2%
46
 
5.9%
35
 
4.5%
31
 
4.0%
25
 
3.2%
22
 
2.8%
22
 
2.8%
22
 
2.8%
21
 
2.7%
Other values (111) 444
56.9%
Lowercase Letter
ValueCountFrequency (%)
a 3
15.0%
n 3
15.0%
t 2
10.0%
e 2
10.0%
m 2
10.0%
r 1
 
5.0%
i 1
 
5.0%
o 1
 
5.0%
l 1
 
5.0%
c 1
 
5.0%
Other values (3) 3
15.0%
Uppercase Letter
ValueCountFrequency (%)
S 6
28.6%
I 4
19.0%
K 4
19.0%
T 3
14.3%
U 1
 
4.8%
C 1
 
4.8%
A 1
 
4.8%
B 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
/ 1
 
14.3%
. 1
 
14.3%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 781
88.3%
Common 62
 
7.0%
Latin 41
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
57
 
7.3%
56
 
7.2%
46
 
5.9%
35
 
4.5%
31
 
4.0%
25
 
3.2%
22
 
2.8%
22
 
2.8%
22
 
2.8%
21
 
2.7%
Other values (111) 444
56.9%
Latin
ValueCountFrequency (%)
S 6
14.6%
I 4
 
9.8%
K 4
 
9.8%
a 3
 
7.3%
T 3
 
7.3%
n 3
 
7.3%
t 2
 
4.9%
e 2
 
4.9%
m 2
 
4.9%
U 1
 
2.4%
Other values (11) 11
26.8%
Common
ValueCountFrequency (%)
29
46.8%
) 13
21.0%
( 13
21.0%
, 5
 
8.1%
/ 1
 
1.6%
. 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 781
88.3%
ASCII 103
 
11.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
57
 
7.3%
56
 
7.2%
46
 
5.9%
35
 
4.5%
31
 
4.0%
25
 
3.2%
22
 
2.8%
22
 
2.8%
22
 
2.8%
21
 
2.7%
Other values (111) 444
56.9%
ASCII
ValueCountFrequency (%)
29
28.2%
) 13
12.6%
( 13
12.6%
S 6
 
5.8%
, 5
 
4.9%
I 4
 
3.9%
K 4
 
3.9%
a 3
 
2.9%
T 3
 
2.9%
n 3
 
2.9%
Other values (17) 20
19.4%

주최
Text

Distinct56
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-13T06:47:29.408277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length25
Mean length9.2272727
Min length2

Characters and Unicode

Total characters812
Distinct characters134
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

Unique41 ?
Unique (%)46.6%

Sample

1st row부산광역시교육청
2nd row문화체육관광부
3rd row한국항공우주연구원
4th rowSK하이닉스, 초록우산어린이재단, 사랑의열매
5th row(사)과학관과문화
ValueCountFrequency (%)
사)과학관과문화 9
 
8.3%
한국과학창의재단 8
 
7.3%
과학기술정보통신부 6
 
5.5%
충주고구려천문과학관 4
 
3.7%
대전시민천문대 4
 
3.7%
교육부 3
 
2.8%
두산 2
 
1.8%
한국지질자원연구원 2
 
1.8%
유성구청 2
 
1.8%
부산광역시교육청 2
 
1.8%
Other values (59) 67
61.5%
2023-12-13T06:47:30.239284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
 
6.9%
51
 
6.3%
40
 
4.9%
31
 
3.8%
29
 
3.6%
24
 
3.0%
22
 
2.7%
21
 
2.6%
21
 
2.6%
20
 
2.5%
Other values (124) 497
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 710
87.4%
Space Separator 22
 
2.7%
Uppercase Letter 20
 
2.5%
Lowercase Letter 18
 
2.2%
Close Punctuation 14
 
1.7%
Open Punctuation 14
 
1.7%
Other Punctuation 14
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
56
 
7.9%
51
 
7.2%
40
 
5.6%
31
 
4.4%
29
 
4.1%
24
 
3.4%
21
 
3.0%
21
 
3.0%
20
 
2.8%
20
 
2.8%
Other values (99) 397
55.9%
Lowercase Letter
ValueCountFrequency (%)
n 3
16.7%
a 3
16.7%
t 2
11.1%
e 2
11.1%
l 1
 
5.6%
o 1
 
5.6%
c 1
 
5.6%
d 1
 
5.6%
m 1
 
5.6%
y 1
 
5.6%
Other values (2) 2
11.1%
Uppercase Letter
ValueCountFrequency (%)
S 6
30.0%
K 4
20.0%
I 4
20.0%
T 2
 
10.0%
A 1
 
5.0%
C 1
 
5.0%
U 1
 
5.0%
B 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 12
85.7%
/ 2
 
14.3%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 710
87.4%
Common 64
 
7.9%
Latin 38
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
56
 
7.9%
51
 
7.2%
40
 
5.6%
31
 
4.4%
29
 
4.1%
24
 
3.4%
21
 
3.0%
21
 
3.0%
20
 
2.8%
20
 
2.8%
Other values (99) 397
55.9%
Latin
ValueCountFrequency (%)
S 6
15.8%
K 4
 
10.5%
I 4
 
10.5%
n 3
 
7.9%
a 3
 
7.9%
T 2
 
5.3%
t 2
 
5.3%
e 2
 
5.3%
l 1
 
2.6%
o 1
 
2.6%
Other values (10) 10
26.3%
Common
ValueCountFrequency (%)
22
34.4%
) 14
21.9%
( 14
21.9%
, 12
18.8%
/ 2
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 710
87.4%
ASCII 102
 
12.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
56
 
7.9%
51
 
7.2%
40
 
5.6%
31
 
4.4%
29
 
4.1%
24
 
3.4%
21
 
3.0%
21
 
3.0%
20
 
2.8%
20
 
2.8%
Other values (99) 397
55.9%
ASCII
ValueCountFrequency (%)
22
21.6%
) 14
13.7%
( 14
13.7%
, 12
11.8%
S 6
 
5.9%
K 4
 
3.9%
I 4
 
3.9%
n 3
 
2.9%
a 3
 
2.9%
T 2
 
2.0%
Other values (15) 18
17.6%
Distinct69
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-13T06:47:30.505783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length198
Median length81
Mean length51.738636
Min length14

Characters and Unicode

Total characters4553
Distinct characters90
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

Unique61 ?
Unique (%)69.3%

Sample

1st rowhttps://home.pen.go.kr/bicce/
2nd rowhttps://efac.or.kr/sub06/sub01.php?type=view&uid=2088
3rd rowhttps://www.kari.re.kr/narospacecenter/030101/view/id/168
4th rowhttps://docs.google.com/forms/d/e/1FAIpQLSe-VoXgyaAmHcNNR4pb1BBt0cRn2OnLyLzrdTLFs4081-jXAg/viewform
5th rowhttps://www.sciencecc.com/
ValueCountFrequency (%)
https://www.youtube.com/channel/ucppbqkyuegmdmmwweknbkpg 8
 
9.1%
https://www.sciencecc.com 6
 
6.8%
https://www.youtube.com/channel/ucj5xybtshtbpd9pxk4o3ykg 4
 
4.5%
https://www.youtube.com/channel/ucn3w9zzlnx2eeo04vm0628q 2
 
2.3%
https://www.doosantomorrowlab.com/doosan/intro 2
 
2.3%
https://efac.or.kr/sub06/sub01.php?type=view&uid=2088 2
 
2.3%
https://www.sciport.or.kr 2
 
2.3%
https://www.dnsm.or.kr 2
 
2.3%
https://www.sciencecc.com/sub_read.html?uid=1024&section=sc1&section2=과학관과문화소식 1
 
1.1%
http://www.gogung.go.kr/main.do 1
 
1.1%
Other values (58) 58
65.9%
2023-12-13T06:47:30.979544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 306
 
6.7%
t 267
 
5.9%
e 232
 
5.1%
. 216
 
4.7%
s 208
 
4.6%
w 202
 
4.4%
o 193
 
4.2%
c 192
 
4.2%
r 167
 
3.7%
p 138
 
3.0%
Other values (80) 2432
53.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2760
60.6%
Other Punctuation 809
 
17.8%
Uppercase Letter 444
 
9.8%
Decimal Number 402
 
8.8%
Math Symbol 80
 
1.8%
Other Letter 24
 
0.5%
Connector Punctuation 20
 
0.4%
Dash Punctuation 14
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 267
 
9.7%
e 232
 
8.4%
s 208
 
7.5%
w 202
 
7.3%
o 193
 
7.0%
c 192
 
7.0%
r 167
 
6.1%
p 138
 
5.0%
n 134
 
4.9%
h 129
 
4.7%
Other values (16) 898
32.5%
Uppercase Letter
ValueCountFrequency (%)
E 55
12.4%
C 50
11.3%
B 50
11.3%
D 30
 
6.8%
N 25
 
5.6%
U 25
 
5.6%
T 24
 
5.4%
A 24
 
5.4%
M 23
 
5.2%
P 22
 
5.0%
Other values (15) 116
26.1%
Other Letter
ValueCountFrequency (%)
3
 
12.5%
2
 
8.3%
2
 
8.3%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
Other values (10) 10
41.7%
Decimal Number
ValueCountFrequency (%)
0 76
18.9%
1 62
15.4%
9 59
14.7%
8 52
12.9%
2 45
11.2%
3 33
8.2%
4 27
 
6.7%
5 18
 
4.5%
6 17
 
4.2%
7 13
 
3.2%
Other Punctuation
ValueCountFrequency (%)
/ 306
37.8%
. 216
26.7%
% 123
15.2%
: 84
 
10.4%
& 60
 
7.4%
? 20
 
2.5%
Math Symbol
ValueCountFrequency (%)
= 80
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3204
70.4%
Common 1325
29.1%
Hangul 24
 
0.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 267
 
8.3%
e 232
 
7.2%
s 208
 
6.5%
w 202
 
6.3%
o 193
 
6.0%
c 192
 
6.0%
r 167
 
5.2%
p 138
 
4.3%
n 134
 
4.2%
h 129
 
4.0%
Other values (41) 1342
41.9%
Hangul
ValueCountFrequency (%)
3
 
12.5%
2
 
8.3%
2
 
8.3%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
Other values (10) 10
41.7%
Common
ValueCountFrequency (%)
/ 306
23.1%
. 216
16.3%
% 123
9.3%
: 84
 
6.3%
= 80
 
6.0%
0 76
 
5.7%
1 62
 
4.7%
& 60
 
4.5%
9 59
 
4.5%
8 52
 
3.9%
Other values (9) 207
15.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4529
99.5%
Hangul 24
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 306
 
6.8%
t 267
 
5.9%
e 232
 
5.1%
. 216
 
4.8%
s 208
 
4.6%
w 202
 
4.5%
o 193
 
4.3%
c 192
 
4.2%
r 167
 
3.7%
p 138
 
3.0%
Other values (60) 2408
53.2%
Hangul
ValueCountFrequency (%)
3
 
12.5%
2
 
8.3%
2
 
8.3%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
Other values (10) 10
41.7%

Interactions

2023-12-13T06:47:25.054014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:47:31.115645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분(NO)제목프로그램 분류대상지역구분장소명행사 시작일자행사 종료일자운영기관주최공식홈페이지
구분(NO)1.0001.0000.3250.5910.0000.7050.9840.8660.7420.8320.880
제목1.0001.0001.0001.0001.0000.9931.0001.0000.9630.9680.991
프로그램 분류0.3251.0001.0000.0000.0000.9230.9060.9110.0000.2000.983
대상0.5911.0000.0001.0000.5990.0000.0000.0000.9120.9380.950
지역구분0.0001.0000.0000.5991.0000.9670.7680.4970.5930.8820.897
장소명0.7050.9930.9230.0000.9671.0000.9640.9560.0000.0000.995
행사 시작일자0.9841.0000.9060.0000.7680.9641.0000.9900.0000.0000.972
행사 종료일자0.8661.0000.9110.0000.4970.9560.9901.0000.0000.0000.976
운영기관0.7420.9630.0000.9120.5930.0000.0000.0001.0000.9990.991
주최0.8320.9680.2000.9380.8820.0000.0000.0000.9991.0000.990
공식홈페이지0.8800.9910.9830.9500.8970.9950.9720.9760.9910.9901.000
2023-12-13T06:47:31.257459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
프로그램 분류대상지역구분
프로그램 분류1.0000.0000.000
대상0.0001.0000.297
지역구분0.0000.2971.000
2023-12-13T06:47:31.369017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분(NO)프로그램 분류대상지역구분
구분(NO)1.0000.1320.4150.000
프로그램 분류0.1321.0000.0000.000
대상0.4150.0001.0000.297
지역구분0.0000.0000.2971.000

Missing values

2023-12-13T06:47:25.207101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:47:25.398316image/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

구분(NO)제목프로그램 구분프로그램 분류대상지역구분장소명행사 시작일자행사 종료일자운영기관주최공식홈페이지
01온라인 과학동아리활동발표대회온라인교육,캠프초중고전체기타2021-12-312021-12-31부산광역시창의융합교육원부산광역시교육청https://home.pen.go.kr/bicce/
122021 기술 입은 문화예술교육 빛으로 만드는 나만의 무대온라인교육,캠프기타서울구글 클래스룸, 줌, 패들랫2021-09-112021-11-13(재)은평문화재단, 사비나미술관문화체육관광부https://efac.or.kr/sub06/sub01.php?type=view&uid=2088
23Fly to the space 누리호 온라인 과학콘서트 인공위성 어디까지 아니온라인교육,캠프기타전체나로우주센터 우주과학관2021-08-142021-08-14한국항공우주연구원 나로우주센터 우주과학관한국항공우주연구원https://www.kari.re.kr/narospacecenter/030101/view/id/168
34SK하이닉스 하인슈타인 과학인재 양성교육온라인기타기타전체온라인 교육2021-08-012021-09-30SK하이닉스 하인슈타인 운영사무국SK하이닉스, 초록우산어린이재단, 사랑의열매https://docs.google.com/forms/d/e/1FAIpQLSe-VoXgyaAmHcNNR4pb1BBt0cRn2OnLyLzrdTLFs4081-jXAg/viewform
45교수님 미래과학기술이 궁금합니다만온라인교육,캠프기타전체YouTube 과학관과문화 TV 채널2021-07-282021-07-28한국과학창의재단(사)과학관과문화https://www.sciencecc.com/
56Fly to the space 누리호 온라인 과학콘서트 날자 날자 하늘을 날아보자온라인교육,캠프기타전체나로우주센터 우주과학관 홈페이지2021-07-172021-07-17한국항공우주연구원 나로우주센터 우주과학관한국항공우주연구원https://www.kari.re.kr/narospacecenter/
67인공지능(AI) 데이터 딥러닝 체험 참가자 모집온라인교육,캠프기타전체온라인 Zoom 강의실2021-07-132021-07-30한국과학창의재단(사)과학관과문화https://www.sciencecc.com/
78아웃브레이크 박테리아 vs 바이러스 (2기) 참가자 모집온라인교육,캠프기타전체온라인 Zoom 강의실2021-07-082021-07-29한국과학창의재단(사)과학관과문화https://www.sciencecc.com/
89경남 과학기술 아이디어 경진대회온라인축제,행사기타전체경남테크노파트 홈페이지2021-07-052021-08-20경남테크노파크경상남도https://www.gntp.or.kr/biz/applyInfo/2364
910제 6회 과학문화 혁신포럼온라인과학문화시설기타전체사이언스프렌즈(YouTube)2021-06-282021-06-28한국과학창의재단한국과학창의재단https://youtu.be/QyH2otP8DLM
구분(NO)제목프로그램 구분프로그램 분류대상지역구분장소명행사 시작일자행사 종료일자운영기관주최공식홈페이지
78792020 온라인 과학여행 여과(科)생활온라인교육,캠프기타전체YouTube 사이언스프렌즈 채널2020-11-052020-12-03한국과학창의재단과학기술정보통신부https://www.scienceall.com/2020-%EC%98%A8%EB%9D%BC%EC%9D%B8-%EA%B3%BC%ED%95%99%EC%97%AC%ED%96%89-%EC%97%AC%EA%B3%BC%E7%A7%91%EC%83%9D%ED%99%9C-%EC%83%9D%EB%B0%A9%EC%86%A1-%EC%95%88%EB%82%B4/
7980과학기술 미래인재 컨퍼런스온라인축제,행사기타전체온라인2020-11-052020-11-07과학기술정보통신부 / 국가과학기술인력개발원과학기술정보통신부 / 국가과학기술인력개발원https://hrst-conference.kr/
80812020 제 1차 기업 과학기술 CSR 컨퍼런스온라인축제,행사기타전체온라인 생중계 (사이언스프렌즈)2020-11-052020-11-05한국과학창의재단한국과학창의재단https://sciencecsr.kr/conference1/registration/
81824차산업분야 비대면 무료 체험프로그램온라인교육,캠프기타대전/세종/충정기타2020-11-042020-11-23교육부교육부http://모두행복.kr
82832020 SW 교육 페스티벌온라인축제,행사기타전체2020 SW 교육 페스티벌 홈페이지2020-11-032020-11-23한국과학창의재단과학기술정보통신부, 교육부festival.software.kr
8384전문해설과 함께하는 미국스미소니언자연사박물관 Virtual 투어온라인교육,캠프기타전체온라인 Zoom 회의실2020-10-242020-12-12한국과학창의재단(사)과학관과문화https://www.sciencecc.com/sub_read.html?uid=1009&section=sc1&section2=%EA%B3%BC%ED%95%99%EA%B4%80%EA%B3%BC%EB%AC%B8%ED%99%94%EC%86%8C%EC%8B%9D
8485하나 고르기와 함께하는 온라인 방콕하나콕 과학관 탐방온라인교육,캠프기타전체온라인 Zoom 회의실2020-10-192020-12-08(사)과학관과문화(사)과학관과문화https://www.sciencecc.com/sub_read.html?uid=1005&section=sc1&section2=%EA%B3%BC%ED%95%99%EA%B4%80%EA%B3%BC%EB%AC%B8%ED%99%94%EC%86%8C%EC%8B%9D
8586제6회 원자력 창의력 대회개최온라인기타기타전체기타2020-10-072020-11-04한국원자력연구원한국원자력연구원https://www.kaeri.re.kr/board/view?pageNum=1&rowCnt=10&no1=116&linkId=8598&menuId=MENU00332&schType=0&schText=&boardStyle=&categoryId=&continent=&country=&schYear=
8687IBS Art in Science 공모전온라인축제,행사기타전체기타2020-09-232020-11-06기초과학연구원(IBS)기초과학연구원(IBS)https://www.ibs.re.kr/cop/bbs/BBSMSTR_000000000736/selectBoardArticle.do?nttId=19103
8788한의학과 함께하는 미래사회 시나리오 영상 공모전온라인기타기타전체기타2020-09-042020-10-30한국한의학연구원한국한의학연구원www.kiompr.re.kr