Overview

Dataset statistics

Number of variables10
Number of observations931
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory73.8 KiB
Average record size in memory81.1 B

Variable types

Numeric1
Text5
Categorical2
DateTime2

Dataset

Description연구개발특구의 특구별 유관기관(업)의 행사 및 교육일정에 관한 데이터입니다.(2024년 2월 기준 )데이터는 매 분기별 등록 완료된 행사 일정을 기준으로 제공하고 있으며, 행사 정보는 연구개발특구진흥재단의 대표 홈페이지의 캘린더 서비스를 통해 제공되고 있습니다.서비스 URL : https://www.innopolis.or.kr/innoSchedule?menuId=MENU01058&viewType=1
Author(재)연구개발특구진흥재단
URLhttps://www.data.go.kr/data/15113885/fileData.do

Alerts

기술 분류 is highly imbalanced (51.2%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 11:38:00.339722
Analysis finished2024-03-14 11:38:02.892652
Duration2.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct931
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean466
Minimum1
Maximum931
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2024-03-14T20:38:03.025773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile47.5
Q1233.5
median466
Q3698.5
95-th percentile884.5
Maximum931
Range930
Interquartile range (IQR)465

Descriptive statistics

Standard deviation268.90085
Coefficient of variation (CV)0.57704045
Kurtosis-1.2
Mean466
Median Absolute Deviation (MAD)233
Skewness0
Sum433846
Variance72307.667
MonotonicityStrictly increasing
2024-03-14T20:38:03.276690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
627 1
 
0.1%
615 1
 
0.1%
616 1
 
0.1%
617 1
 
0.1%
618 1
 
0.1%
619 1
 
0.1%
620 1
 
0.1%
621 1
 
0.1%
622 1
 
0.1%
Other values (921) 921
98.9%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
931 1
0.1%
930 1
0.1%
929 1
0.1%
928 1
0.1%
927 1
0.1%
926 1
0.1%
925 1
0.1%
924 1
0.1%
923 1
0.1%
922 1
0.1%

기관명
Text

Distinct69
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-03-14T20:38:03.896576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length10
Mean length10.974221
Min length4

Characters and Unicode

Total characters10217
Distinct characters137
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 (%)4.9%

Sample

1st row홍보협력팀
2nd row연구개발특구진흥재단
3rd row연구개발특구진흥재단
4th row연구개발특구진흥재단
5th row특구재단 전북특구본부
ValueCountFrequency (%)
연구개발특구진흥재단 735
67.2%
기획경영실 59
 
5.4%
광주연구개발특구 59
 
5.4%
대구연구개발특구본부 37
 
3.4%
기술사업화팀 27
 
2.5%
강소특구육성2팀 20
 
1.8%
전북연구개발특구본부 20
 
1.8%
재)연구개발특구진흥재단 16
 
1.5%
강소특구육성1팀 11
 
1.0%
특구재단 8
 
0.7%
Other values (66) 101
 
9.2%
2024-03-14T20:38:05.000160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 1879
18.4%
특 939
9.2%
연 885
8.7%
개 877
8.6%
발 877
8.6%
재 775
7.6%
단 763
7.5%
진 755
7.4%
흥 755
7.4%
164
 
1.6%
Other values (127) 1548
15.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9967
97.6%
Space Separator 164
 
1.6%
Decimal Number 36
 
0.4%
Close Punctuation 18
 
0.2%
Open Punctuation 18
 
0.2%
Uppercase Letter 13
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1879
18.9%
특 939
9.4%
연 885
8.9%
개 877
8.8%
발 877
8.8%
재 775
7.8%
단 763
7.7%
진 755
7.6%
흥 755
7.6%
기 101
 
1.0%
Other values (112) 1361
13.7%
Uppercase Letter
ValueCountFrequency (%)
T 3
23.1%
K 2
15.4%
A 2
15.4%
I 2
15.4%
S 2
15.4%
L 1
 
7.7%
O 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 22
61.1%
1 12
33.3%
0 1
 
2.8%
3 1
 
2.8%
Space Separator
ValueCountFrequency (%)
164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9967
97.6%
Common 237
 
2.3%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1879
18.9%
특 939
9.4%
연 885
8.9%
개 877
8.8%
발 877
8.8%
재 775
7.8%
단 763
7.7%
진 755
7.6%
흥 755
7.6%
기 101
 
1.0%
Other values (112) 1361
13.7%
Common
ValueCountFrequency (%)
164
69.2%
2 22
 
9.3%
) 18
 
7.6%
( 18
 
7.6%
1 12
 
5.1%
& 1
 
0.4%
0 1
 
0.4%
3 1
 
0.4%
Latin
ValueCountFrequency (%)
T 3
23.1%
K 2
15.4%
A 2
15.4%
I 2
15.4%
S 2
15.4%
L 1
 
7.7%
O 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9967
97.6%
ASCII 250
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 1879
18.9%
특 939
9.4%
연 885
8.9%
개 877
8.8%
발 877
8.8%
재 775
7.8%
단 763
7.7%
진 755
7.6%
흥 755
7.6%
기 101
 
1.0%
Other values (112) 1361
13.7%
ASCII
ValueCountFrequency (%)
164
65.6%
2 22
 
8.8%
) 18
 
7.2%
( 18
 
7.2%
1 12
 
4.8%
T 3
 
1.2%
K 2
 
0.8%
A 2
 
0.8%
I 2
 
0.8%
S 2
 
0.8%
Other values (5) 5
 
2.0%

행사명
Text

Distinct878
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-03-14T20:38:06.058483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length51
Mean length24.025779
Min length5

Characters and Unicode

Total characters22368
Distinct characters622
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique840 ?
Unique (%)90.2%

Sample

1st row2023 연구개발특구 신년인사회
2nd row환경기후분야 국내외 R&BD 활성화를 위한 심포지움 개최
3rd row대구디지털혁신진흥원 2023년 지원사업 설명회
4th row제6차 지방과학기술진흥종합계획 및 지역별 과학기술계획 공유회
5th row전북대학교 2023 LINC 산학연협력페스티벌
ValueCountFrequency (%)
2023 266
 
5.9%
2023년 117
 
2.6%
53
 
1.2%
포럼 52
 
1.2%
및 44
 
1.0%
개최 43
 
1.0%
세미나 43
 
1.0%
대덕특구 40
 
0.9%
사이언스 24
 
0.5%
안내 22
 
0.5%
Other values (2137) 3795
84.4%
2024-03-14T20:38:07.781148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3653
 
16.3%
2 972
 
4.3%
0 502
 
2.2%
3 468
 
2.1%
회 395
 
1.8%
기 355
 
1.6%
대 325
 
1.5%
구 316
 
1.4%
학 305
 
1.4%
이 282
 
1.3%
Other values (612) 14795
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13529
60.5%
Space Separator 3653
 
16.3%
Decimal Number 2237
 
10.0%
Uppercase Letter 1289
 
5.8%
Lowercase Letter 959
 
4.3%
Other Punctuation 269
 
1.2%
Open Punctuation 164
 
0.7%
Close Punctuation 161
 
0.7%
Dash Punctuation 58
 
0.3%
Math Symbol 24
 
0.1%
Other values (4) 25
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 395
 
2.9%
기 355
 
2.6%
대 325
 
2.4%
구 316
 
2.3%
학 305
 
2.3%
이 282
 
2.1%
스 277
 
2.0%
제 272
 
2.0%
전 244
 
1.8%
과 237
 
1.8%
Other values (523) 10521
77.8%
Lowercase Letter
ValueCountFrequency (%)
e 127
13.2%
n 110
11.5%
a 91
9.5%
t 80
 
8.3%
i 77
 
8.0%
o 74
 
7.7%
r 73
 
7.6%
h 40
 
4.2%
s 36
 
3.8%
l 36
 
3.8%
Other values (15) 215
22.4%
Uppercase Letter
ValueCountFrequency (%)
I 170
13.2%
S 117
 
9.1%
T 105
 
8.1%
A 89
 
6.9%
C 87
 
6.7%
E 83
 
6.4%
O 64
 
5.0%
B 62
 
4.8%
R 61
 
4.7%
K 58
 
4.5%
Other values (14) 393
30.5%
Decimal Number
ValueCountFrequency (%)
2 972
43.5%
0 502
22.4%
3 468
20.9%
1 110
 
4.9%
4 71
 
3.2%
5 47
 
2.1%
9 24
 
1.1%
7 18
 
0.8%
6 13
 
0.6%
8 12
 
0.5%
Other Punctuation
ValueCountFrequency (%)
& 47
17.5%
, 39
14.5%
: 38
14.1%
· 37
13.8%
' 33
12.3%
. 23
8.6%
/ 20
7.4%
" 17
 
6.3%
! 12
 
4.5%
# 3
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 112
68.3%
[ 30
 
18.3%
「 17
 
10.4%
『 5
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 109
67.7%
] 30
 
18.6%
」 17
 
10.6%
』 5
 
3.1%
Math Symbol
ValueCountFrequency (%)
> 10
41.7%
< 10
41.7%
+ 3
 
12.5%
~ 1
 
4.2%
Initial Punctuation
ValueCountFrequency (%)
“ 7
70.0%
‘ 3
30.0%
Final Punctuation
ValueCountFrequency (%)
” 6
60.0%
’ 4
40.0%
Space Separator
ValueCountFrequency (%)
3653
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13522
60.5%
Common 6591
29.5%
Latin 2248
 
10.1%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 395
 
2.9%
기 355
 
2.6%
대 325
 
2.4%
구 316
 
2.3%
학 305
 
2.3%
이 282
 
2.1%
스 277
 
2.0%
제 272
 
2.0%
전 244
 
1.8%
과 237
 
1.8%
Other values (519) 10514
77.8%
Latin
ValueCountFrequency (%)
I 170
 
7.6%
e 127
 
5.6%
S 117
 
5.2%
n 110
 
4.9%
T 105
 
4.7%
a 91
 
4.0%
A 89
 
4.0%
C 87
 
3.9%
E 83
 
3.7%
t 80
 
3.6%
Other values (39) 1189
52.9%
Common
ValueCountFrequency (%)
3653
55.4%
2 972
 
14.7%
0 502
 
7.6%
3 468
 
7.1%
( 112
 
1.7%
1 110
 
1.7%
) 109
 
1.7%
4 71
 
1.1%
- 58
 
0.9%
& 47
 
0.7%
Other values (30) 489
 
7.4%
Han
ValueCountFrequency (%)
溫 3
42.9%
魚 2
28.6%
龍 1
 
14.3%
靑 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13522
60.5%
ASCII 8738
39.1%
None 81
 
0.4%
Punctuation 20
 
0.1%
CJK 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3653
41.8%
2 972
 
11.1%
0 502
 
5.7%
3 468
 
5.4%
I 170
 
1.9%
e 127
 
1.5%
S 117
 
1.3%
( 112
 
1.3%
n 110
 
1.3%
1 110
 
1.3%
Other values (70) 2397
27.4%
Hangul
ValueCountFrequency (%)
회 395
 
2.9%
기 355
 
2.6%
대 325
 
2.4%
구 316
 
2.3%
학 305
 
2.3%
이 282
 
2.1%
스 277
 
2.0%
제 272
 
2.0%
전 244
 
1.8%
과 237
 
1.8%
Other values (519) 10514
77.8%
None
ValueCountFrequency (%)
· 37
45.7%
「 17
21.0%
」 17
21.0%
『 5
 
6.2%
』 5
 
6.2%
Punctuation
ValueCountFrequency (%)
“ 7
35.0%
” 6
30.0%
’ 4
20.0%
‘ 3
15.0%
CJK
ValueCountFrequency (%)
溫 3
42.9%
魚 2
28.6%
龍 1
 
14.3%
靑 1
 
14.3%

주관기관명
Text

Distinct523
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-03-14T20:38:08.969387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length44
Mean length12.407089
Min length2

Characters and Unicode

Total characters11551
Distinct characters409
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique424 ?
Unique (%)45.5%

Sample

1st row연구개발특구진흥재단
2nd row인천대학교 환경공학과
3rd row(재)대구디지털혁신진흥원
4th row한국과학기술기획평가원(KISTEP)
5th row전북대학교
ValueCountFrequency (%)
연구개발특구진흥재단 132
 
9.3%
국립중앙과학관 55
 
3.9%
대구디지털혁신진흥원 22
 
1.5%
전남대학교 21
 
1.5%
대덕넷 20
 
1.4%
대전광역시 17
 
1.2%
국립대구과학관 15
 
1.1%
유성구 15
 
1.1%
한국생명공학연구원 15
 
1.1%
국가과학기술연구회 14
 
1.0%
Other values (669) 1101
77.2%
2024-03-14T20:38:10.573516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 699
 
6.1%
536
 
4.6%
국 390
 
3.4%
연 382
 
3.3%
학 369
 
3.2%
, 318
 
2.8%
대 318
 
2.8%
원 311
 
2.7%
한 276
 
2.4%
단 257
 
2.2%
Other values (399) 7695
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10003
86.6%
Space Separator 536
 
4.6%
Uppercase Letter 384
 
3.3%
Other Punctuation 348
 
3.0%
Close Punctuation 82
 
0.7%
Open Punctuation 82
 
0.7%
Lowercase Letter 78
 
0.7%
Decimal Number 25
 
0.2%
Math Symbol 5
 
< 0.1%
Other Symbol 4
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 699
 
7.0%
국 390
 
3.9%
연 382
 
3.8%
학 369
 
3.7%
대 318
 
3.2%
원 311
 
3.1%
한 276
 
2.8%
단 257
 
2.6%
진 253
 
2.5%
흥 247
 
2.5%
Other values (336) 6501
65.0%
Uppercase Letter
ValueCountFrequency (%)
T 50
13.0%
S 44
11.5%
I 44
11.5%
A 32
 
8.3%
K 31
 
8.1%
O 24
 
6.2%
C 19
 
4.9%
E 18
 
4.7%
R 14
 
3.6%
G 13
 
3.4%
Other values (15) 95
24.7%
Lowercase Letter
ValueCountFrequency (%)
a 11
14.1%
e 8
10.3%
l 7
9.0%
s 7
9.0%
r 6
 
7.7%
h 6
 
7.7%
o 5
 
6.4%
i 5
 
6.4%
c 4
 
5.1%
p 4
 
5.1%
Other values (7) 15
19.2%
Decimal Number
ValueCountFrequency (%)
2 10
40.0%
0 4
 
16.0%
3 3
 
12.0%
1 3
 
12.0%
8 2
 
8.0%
5 2
 
8.0%
4 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 318
91.4%
/ 15
 
4.3%
· 7
 
2.0%
. 6
 
1.7%
& 2
 
0.6%
Math Symbol
ValueCountFrequency (%)
+ 3
60.0%
< 1
 
20.0%
> 1
 
20.0%
Space Separator
ValueCountFrequency (%)
536
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10007
86.6%
Common 1082
 
9.4%
Latin 462
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 699
 
7.0%
국 390
 
3.9%
연 382
 
3.8%
학 369
 
3.7%
대 318
 
3.2%
원 311
 
3.1%
한 276
 
2.8%
단 257
 
2.6%
진 253
 
2.5%
흥 247
 
2.5%
Other values (337) 6505
65.0%
Latin
ValueCountFrequency (%)
T 50
 
10.8%
S 44
 
9.5%
I 44
 
9.5%
A 32
 
6.9%
K 31
 
6.7%
O 24
 
5.2%
C 19
 
4.1%
E 18
 
3.9%
R 14
 
3.0%
G 13
 
2.8%
Other values (32) 173
37.4%
Common
ValueCountFrequency (%)
536
49.5%
, 318
29.4%
) 82
 
7.6%
( 82
 
7.6%
/ 15
 
1.4%
2 10
 
0.9%
· 7
 
0.6%
. 6
 
0.6%
0 4
 
0.4%
+ 3
 
0.3%
Other values (10) 19
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10003
86.6%
ASCII 1537
 
13.3%
None 11
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 699
 
7.0%
국 390
 
3.9%
연 382
 
3.8%
학 369
 
3.7%
대 318
 
3.2%
원 311
 
3.1%
한 276
 
2.8%
단 257
 
2.6%
진 253
 
2.5%
흥 247
 
2.5%
Other values (336) 6501
65.0%
ASCII
ValueCountFrequency (%)
536
34.9%
, 318
20.7%
) 82
 
5.3%
( 82
 
5.3%
T 50
 
3.3%
S 44
 
2.9%
I 44
 
2.9%
A 32
 
2.1%
K 31
 
2.0%
O 24
 
1.6%
Other values (51) 294
19.1%
None
ValueCountFrequency (%)
· 7
63.6%
㈜ 4
36.4%

행사지역
Categorical

Distinct7
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
대덕특구
569 
대구특구
113 
광주특구
92 
과학벨트
68 
부산특구
 
33
Other values (2)
 
56

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대덕특구
2nd row과학벨트
3rd row대구특구
4th row부산특구
5th row전북특구

Common Values

ValueCountFrequency (%)
대덕특구 569
61.1%
대구특구 113
 
12.1%
광주특구 92
 
9.9%
과학벨트 68
 
7.3%
부산특구 33
 
3.5%
전북특구 32
 
3.4%
강소특구 24
 
2.6%

Length

2024-03-14T20:38:10.974182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:38:11.293820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대덕특구 569
61.1%
대구특구 113
 
12.1%
광주특구 92
 
9.9%
과학벨트 68
 
7.3%
부산특구 33
 
3.5%
전북특구 32
 
3.4%
강소특구 24
 
2.6%

행사장소
Text

Distinct656
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-03-14T20:38:12.209145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length37
Mean length13.599356
Min length2

Characters and Unicode

Total characters12661
Distinct characters479
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique560 ?
Unique (%)60.2%

Sample

1st row대전 DCC
2nd row경원재 엠배서더(인천 송도)
3rd row온라인
4th row부산 아스티호텔
5th row전북대학교 중앙도서관 LINC 라운지
ValueCountFrequency (%)
1층 84
 
3.5%
국립중앙과학관 54
 
2.3%
온라인 49
 
2.1%
2층 48
 
2.0%
코엑스 42
 
1.8%
대전 32
 
1.3%
서울 28
 
1.2%
일원 20
 
0.8%
전남대학교 20
 
0.8%
및 19
 
0.8%
Other values (1023) 1976
83.3%
2024-03-14T20:38:13.643947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1499
 
11.8%
대 389
 
3.1%
학 292
 
2.3%
스 254
 
2.0%
구 241
 
1.9%
관 223
 
1.8%
층 208
 
1.6%
국 200
 
1.6%
터 199
 
1.6%
1 193
 
1.5%
Other values (469) 8963
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9378
74.1%
Space Separator 1499
 
11.8%
Uppercase Letter 715
 
5.6%
Decimal Number 562
 
4.4%
Close Punctuation 158
 
1.2%
Open Punctuation 158
 
1.2%
Other Punctuation 82
 
0.6%
Lowercase Letter 78
 
0.6%
Dash Punctuation 24
 
0.2%
Math Symbol 3
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 389
 
4.1%
학 292
 
3.1%
스 254
 
2.7%
구 241
 
2.6%
관 223
 
2.4%
층 208
 
2.2%
국 200
 
2.1%
터 199
 
2.1%
과 193
 
2.1%
원 189
 
2.0%
Other values (396) 6990
74.5%
Uppercase Letter
ValueCountFrequency (%)
C 85
11.9%
S 68
 
9.5%
T 62
 
8.7%
I 61
 
8.5%
B 60
 
8.4%
E 53
 
7.4%
A 44
 
6.2%
D 37
 
5.2%
O 37
 
5.2%
K 35
 
4.9%
Other values (16) 173
24.2%
Lowercase Letter
ValueCountFrequency (%)
a 12
15.4%
e 10
12.8%
i 8
 
10.3%
o 5
 
6.4%
u 4
 
5.1%
z 4
 
5.1%
f 4
 
5.1%
t 4
 
5.1%
l 3
 
3.8%
b 3
 
3.8%
Other values (10) 21
26.9%
Decimal Number
ValueCountFrequency (%)
1 193
34.3%
2 116
20.6%
3 68
 
12.1%
0 58
 
10.3%
4 32
 
5.7%
5 22
 
3.9%
9 21
 
3.7%
7 18
 
3.2%
8 17
 
3.0%
6 17
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 54
65.9%
/ 10
 
12.2%
& 8
 
9.8%
· 6
 
7.3%
. 2
 
2.4%
* 1
 
1.2%
: 1
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 156
98.7%
] 2
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 156
98.7%
[ 2
 
1.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
1499
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9376
74.1%
Common 2488
 
19.7%
Latin 795
 
6.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 389
 
4.1%
학 292
 
3.1%
스 254
 
2.7%
구 241
 
2.6%
관 223
 
2.4%
층 208
 
2.2%
국 200
 
2.1%
터 199
 
2.1%
과 193
 
2.1%
원 189
 
2.0%
Other values (395) 6988
74.5%
Latin
ValueCountFrequency (%)
C 85
 
10.7%
S 68
 
8.6%
T 62
 
7.8%
I 61
 
7.7%
B 60
 
7.5%
E 53
 
6.7%
A 44
 
5.5%
D 37
 
4.7%
O 37
 
4.7%
K 35
 
4.4%
Other values (38) 253
31.8%
Common
ValueCountFrequency (%)
1499
60.2%
1 193
 
7.8%
) 156
 
6.3%
( 156
 
6.3%
2 116
 
4.7%
3 68
 
2.7%
0 58
 
2.3%
, 54
 
2.2%
4 32
 
1.3%
- 24
 
1.0%
Other values (15) 132
 
5.3%
Han
ValueCountFrequency (%)
內 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9376
74.1%
ASCII 3275
 
25.9%
None 6
 
< 0.1%
CJK 2
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1499
45.8%
1 193
 
5.9%
) 156
 
4.8%
( 156
 
4.8%
2 116
 
3.5%
C 85
 
2.6%
3 68
 
2.1%
S 68
 
2.1%
T 62
 
1.9%
I 61
 
1.9%
Other values (60) 811
24.8%
Hangul
ValueCountFrequency (%)
대 389
 
4.1%
학 292
 
3.1%
스 254
 
2.7%
구 241
 
2.6%
관 223
 
2.4%
층 208
 
2.2%
국 200
 
2.1%
터 199
 
2.1%
과 193
 
2.1%
원 189
 
2.0%
Other values (395) 6988
74.5%
None
ValueCountFrequency (%)
· 6
100.0%
CJK
ValueCountFrequency (%)
內 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%

기술 분류
Categorical

IMBALANCE 

Distinct39
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
기타
530 
IT,기타
92 
BT,기타
59 
IT
54 
BT
 
47
Other values (34)
149 

Length

Max length20
Median length2
Mean length3.8077336
Min length2

Unique

Unique16 ?
Unique (%)1.7%

Sample

1st row기타
2nd rowET,기타
3rd row기타
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
기타 530
56.9%
IT,기타 92
 
9.9%
BT,기타 59
 
6.3%
IT 54
 
5.8%
BT 47
 
5.0%
IT,BT,CT,ET,NT,ST 29
 
3.1%
IT,BT,CT,ET,NT,ST,기타 25
 
2.7%
CT 13
 
1.4%
ET 11
 
1.2%
IT,ET,기타 8
 
0.9%
Other values (29) 63
 
6.8%

Length

2024-03-14T20:38:14.053837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 530
56.9%
it,기타 92
 
9.9%
bt,기타 59
 
6.3%
it 54
 
5.8%
bt 47
 
5.0%
it,bt,ct,et,nt,st 29
 
3.1%
it,bt,ct,et,nt,st,기타 25
 
2.7%
ct 13
 
1.4%
et 11
 
1.2%
it,et,기타 8
 
0.9%
Other values (29) 63
 
6.8%

해시태그
Text

Distinct836
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-03-14T20:38:15.119952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length119
Median length56
Mean length15.124597
Min length3

Characters and Unicode

Total characters14081
Distinct characters487
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

Unique779 ?
Unique (%)83.7%

Sample

1st row#신년인사회 #신년회 #대덕특구 #50주년
2nd row#환경 #기후변화
3rd row#유관기관 #설명회 #지원사업
4th row#과학기술
5th row#전북대학교 #JBNU #산학연 #기술사업화
ValueCountFrequency (%)
연구개발특구 93
 
3.9%
기술사업화 66
 
2.8%
전문성 65
 
2.7%
과학기술 59
 
2.5%
교육 36
 
1.5%
대덕특구 24
 
1.0%
창업 22
 
0.9%
바이오 21
 
0.9%
ai 19
 
0.8%
스파크클럽 18
 
0.8%
Other values (1206) 1965
82.3%
2024-03-14T20:38:16.787224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
# 2307
 
16.4%
1477
 
10.5%
구 409
 
2.9%
기 373
 
2.6%
술 274
 
1.9%
학 260
 
1.8%
업 260
 
1.8%
특 226
 
1.6%
연 221
 
1.6%
전 220
 
1.6%
Other values (477) 8054
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9335
66.3%
Other Punctuation 2325
 
16.5%
Space Separator 1477
 
10.5%
Uppercase Letter 633
 
4.5%
Lowercase Letter 221
 
1.6%
Decimal Number 84
 
0.6%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 409
 
4.4%
기 373
 
4.0%
술 274
 
2.9%
학 260
 
2.8%
업 260
 
2.8%
특 226
 
2.4%
연 221
 
2.4%
전 220
 
2.4%
과 214
 
2.3%
스 209
 
2.2%
Other values (419) 6669
71.4%
Uppercase Letter
ValueCountFrequency (%)
I 99
15.6%
S 65
10.3%
A 56
 
8.8%
T 44
 
7.0%
C 43
 
6.8%
E 42
 
6.6%
B 39
 
6.2%
R 36
 
5.7%
K 31
 
4.9%
G 26
 
4.1%
Other values (14) 152
24.0%
Lowercase Letter
ValueCountFrequency (%)
e 31
14.0%
o 22
10.0%
t 22
10.0%
n 20
9.0%
i 18
 
8.1%
a 17
 
7.7%
r 13
 
5.9%
s 12
 
5.4%
l 9
 
4.1%
h 9
 
4.1%
Other values (11) 48
21.7%
Decimal Number
ValueCountFrequency (%)
0 30
35.7%
2 23
27.4%
5 18
21.4%
3 8
 
9.5%
4 4
 
4.8%
1 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
# 2307
99.2%
& 12
 
0.5%
· 4
 
0.2%
/ 1
 
< 0.1%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
1477
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9335
66.3%
Common 3892
27.6%
Latin 854
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 409
 
4.4%
기 373
 
4.0%
술 274
 
2.9%
학 260
 
2.8%
업 260
 
2.8%
특 226
 
2.4%
연 221
 
2.4%
전 220
 
2.4%
과 214
 
2.3%
스 209
 
2.2%
Other values (419) 6669
71.4%
Latin
ValueCountFrequency (%)
I 99
 
11.6%
S 65
 
7.6%
A 56
 
6.6%
T 44
 
5.2%
C 43
 
5.0%
E 42
 
4.9%
B 39
 
4.6%
R 36
 
4.2%
e 31
 
3.6%
K 31
 
3.6%
Other values (35) 368
43.1%
Common
ValueCountFrequency (%)
# 2307
59.3%
1477
37.9%
0 30
 
0.8%
2 23
 
0.6%
5 18
 
0.5%
& 12
 
0.3%
3 8
 
0.2%
- 6
 
0.2%
· 4
 
0.1%
4 4
 
0.1%
Other values (3) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9335
66.3%
ASCII 4742
33.7%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
# 2307
48.7%
1477
31.1%
I 99
 
2.1%
S 65
 
1.4%
A 56
 
1.2%
T 44
 
0.9%
C 43
 
0.9%
E 42
 
0.9%
B 39
 
0.8%
R 36
 
0.8%
Other values (47) 534
 
11.3%
Hangul
ValueCountFrequency (%)
구 409
 
4.4%
기 373
 
4.0%
술 274
 
2.9%
학 260
 
2.8%
업 260
 
2.8%
특 226
 
2.4%
연 221
 
2.4%
전 220
 
2.4%
과 214
 
2.3%
스 209
 
2.2%
Other values (419) 6669
71.4%
None
ValueCountFrequency (%)
· 4
100.0%

행사기간-시작일
Date

Distinct284
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
Minimum2023-01-11 00:00:00
Maximum2024-12-11 00:00:00
2024-03-14T20:38:17.017269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:38:17.339665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

행사기간-종료일
Date

Distinct297
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
Minimum2023-01-11 00:00:00
Maximum2024-12-11 00:00:00
2024-03-14T20:38:17.570627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:38:17.819659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-03-14T20:38:02.208665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:38:17.976588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번기관명행사지역기술 분류
순번1.0000.5830.2860.421
기관명0.5831.0000.9030.560
행사지역0.2860.9031.0000.547
기술 분류0.4210.5600.5471.000
2024-03-14T20:38:18.132723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행사지역기술 분류
행사지역1.0000.253
기술 분류0.2531.000
2024-03-14T20:38:18.274918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번행사지역기술 분류
순번1.0000.1480.156
행사지역0.1481.0000.253
기술 분류0.1560.2531.000

Missing values

2024-03-14T20:38:02.521013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:38:02.792326image/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

순번기관명행사명주관기관명행사지역행사장소기술 분류해시태그행사기간-시작일행사기간-종료일
01홍보협력팀2023 연구개발특구 신년인사회연구개발특구진흥재단대덕특구대전 DCC기타#신년인사회 #신년회 #대덕특구 #50주년2023-01-302023-01-30
12연구개발특구진흥재단환경기후분야 국내외 R&BD 활성화를 위한 심포지움 개최인천대학교 환경공학과과학벨트경원재 엠배서더(인천 송도)ET,기타#환경 #기후변화2023-01-122023-01-12
23연구개발특구진흥재단대구디지털혁신진흥원 2023년 지원사업 설명회(재)대구디지털혁신진흥원대구특구온라인기타#유관기관 #설명회 #지원사업2023-01-192023-01-19
34연구개발특구진흥재단제6차 지방과학기술진흥종합계획 및 지역별 과학기술계획 공유회한국과학기술기획평가원(KISTEP)부산특구부산 아스티호텔기타#과학기술2023-01-112023-01-11
45특구재단 전북특구본부전북대학교 2023 LINC 산학연협력페스티벌전북대학교전북특구전북대학교 중앙도서관 LINC 라운지기타#전북대학교 #JBNU #산학연 #기술사업화2023-01-122023-01-13
56연구개발특구진흥재단제14회 INNOPOLIS AI 세미나연구개발특구진흥재단대덕특구온라인IT#연구개발특구 #인공지능 #AI #역량강화 #세미나 #SPACE-S #NVIDIA2023-01-252023-01-25
67전북특구본부 기술사업화팀우수 기술개발제품 인증 지원제도 교육전북특구본부, 전북대링크사업단 등전북특구전북대학교 국제컨벤션센터 세미나실4기타#연구개발특구 #기술사업화 #신기술인증 #교육 #NEP #NET #조달2023-01-172023-01-17
78연구개발특구진흥재단제 1차 연구행정혁신연구회 운영위 개최연구개발특구진흥재단대덕특구한국화학연구원 디딤돌플라자 2층 회의실기타#전문성 #연구행정2023-01-172023-01-17
89연구개발특구진흥재단기술이전우수사례연구회연구개발특구진흥재단대덕특구대전테크비즈센터 1층 콜라보홀ST#비행역학 #인공위성 #우주경제 #과학기술 #엑셀러레이팅2023-01-182023-01-18
910연구개발특구진흥재단부산연구개발특구 지정변경 개발계획(안) 공청회부산광역시부산특구부산역 유라시아플랫폼 회의실기타#지정변경 #공청회2023-01-272023-01-27
순번기관명행사명주관기관명행사지역행사장소기술 분류해시태그행사기간-시작일행사기간-종료일
921922연구개발특구진흥재단전문가를 통해 배우는 실전 SNS 마케팅 역량강화 주니어 교육대구신용보증재단대구특구대구신용보증재단 기업성공지원센터CT#전문성 #SNS #교육 #신용관리방법2024-02-282024-02-28
922923연구개발특구진흥재단연구개발특구 특.별.한. 현장 릴레이 세미나연구개발특구진흥재단대덕특구한국기초과학지원연구원기타#연구개발특구 #특별한세미나 #현장중심 #수요중심 #패키지세미나2024-03-062024-03-06
923924(재)연구개발특구진흥재단제3회 IEU-기업가정신 프로그램(재)연구개발특구진흥재단대덕특구대덕TBC(콜라보홀)기타#기업가정신 #과학기술인 #창업 #창업교육2024-03-072024-04-18
924925연구개발특구진흥재단2024년 국립대구과학관 제11기 주니어 과학해설사 자원봉사단 모집 안내국립대구과학관대구특구국립대구과학관기타#전문성#과학기술 #주니어해설사 #자원봉사 #국립대구과학관2024-03-092024-03-09
925926연구개발특구진흥재단2024 「인문학과 함께하는 브런치콘서트」 - 영화평론가 이동진대구광역시동구문화재단대구특구아양아트센터CT#전문성 #인문학 #교육 #아양아트센터2024-03-202024-03-20
926927연구개발특구진흥재단2024 스마트공장자동화산업전코엑스, 한국산업지능화협회, 한국머신비전산업협회, 첨단대덕특구코엑스IT#스마트공장2024-03-272024-03-29
927928연구개발특구진흥재단2024 「인문학과 함께하는 브런치콘서트」 - 영화평론가 도슨트 정우철대구광역시동구문화재단대구특구아양아트센터CT#인문학콘서트 #콘텐츠 #도슨트 #교육 #특강2024-06-052024-06-05
928929연구개발특구진흥재단2024 글로벌 공급망 혁신대전중소벤처기업부, 중소기업기술정보진흥원, 기술보증기금, 엑스포럼대덕특구COEXIT#글로벌 공급망2024-06-192024-06-21
929930연구개발특구진흥재단2024 「인문학과 함께하는 브런치콘서트」 - 음악평론가 임진모대구광역시동구문화재단대구특구아양아트센터CT#인문학콘서트 #음악 #교육 #특강#임진모2024-09-112024-09-11
930931연구개발특구진흥재단2024 「인문학과 함께하는 브런치콘서트」 - 과학유튜버 궤도대구광역시동구문화재단대구특구아양아트센터CT#과학기술 #인문학콘서트 #과학유튜버 #교육 #특강2024-12-112024-12-11