Overview

Dataset statistics

Number of variables8
Number of observations111
Missing cells174
Missing cells (%)19.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory65.2 B

Variable types

Text8

Alerts

행사장소 has 2 (1.8%) missing valuesMissing
주최기관 has 6 (5.4%) missing valuesMissing
주관기관 has 65 (58.6%) missing valuesMissing
전화번호 has 11 (9.9%) missing valuesMissing
팩스번호 has 67 (60.4%) missing valuesMissing
홈페이지 has 23 (20.7%) missing valuesMissing

Reproduction

Analysis started2023-12-10 21:49:52.752989
Analysis finished2023-12-10 21:49:54.040025
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행사명
Text

Distinct108
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-11T06:49:54.233808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length143
Median length36
Mean length22.099099
Min length5

Characters and Unicode

Total characters2453
Distinct characters327
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)94.6%

Sample

1st row(주)동양건설산업/(주)라인건설/(주)라인산업 안전보건관리자(건축-신규&팀원 / 토목) 직무교육
2nd row2021 DMZ 포럼
3rd row2021 ICT멘토링 엑스포
4th row2021 IDEA KOREA CONVENTION
5th row2021 IDEA KOREA CONVENTION
ValueCountFrequency (%)
2021 71
 
16.9%
엑스포 13
 
3.1%
대한민국 11
 
2.6%
및 10
 
2.4%
korea 8
 
1.9%
8
 
1.9%
국제 5
 
1.2%
행사 4
 
1.0%
박람회 4
 
1.0%
페스티벌 3
 
0.7%
Other values (245) 283
67.4%
2023-12-11T06:49:54.652708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
309
 
12.6%
2 172
 
7.0%
1 102
 
4.2%
0 83
 
3.4%
회 73
 
3.0%
국 60
 
2.4%
제 59
 
2.4%
전 40
 
1.6%
스 38
 
1.5%
포 34
 
1.4%
Other values (317) 1483
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1395
56.9%
Decimal Number 389
 
15.9%
Space Separator 309
 
12.6%
Uppercase Letter 151
 
6.2%
Lowercase Letter 91
 
3.7%
Other Punctuation 66
 
2.7%
Close Punctuation 21
 
0.9%
Open Punctuation 21
 
0.9%
Dash Punctuation 9
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 73
 
5.2%
국 60
 
4.3%
제 59
 
4.2%
전 40
 
2.9%
스 38
 
2.7%
포 34
 
2.4%
한 33
 
2.4%
대 32
 
2.3%
박 32
 
2.3%
람 31
 
2.2%
Other values (256) 963
69.0%
Uppercase Letter
ValueCountFrequency (%)
K 19
12.6%
O 19
12.6%
A 17
11.3%
E 14
9.3%
R 14
9.3%
N 13
8.6%
I 8
 
5.3%
C 8
 
5.3%
T 7
 
4.6%
D 5
 
3.3%
Other values (12) 27
17.9%
Lowercase Letter
ValueCountFrequency (%)
d 19
20.9%
t 12
13.2%
o 12
13.2%
i 11
12.1%
m 9
9.9%
r 5
 
5.5%
e 4
 
4.4%
a 4
 
4.4%
n 3
 
3.3%
l 3
 
3.3%
Other values (7) 9
9.9%
Decimal Number
ValueCountFrequency (%)
2 172
44.2%
1 102
26.2%
0 83
21.3%
3 9
 
2.3%
6 5
 
1.3%
4 5
 
1.3%
5 4
 
1.0%
9 4
 
1.0%
8 3
 
0.8%
7 2
 
0.5%
Other Punctuation
ValueCountFrequency (%)
& 22
33.3%
/ 16
24.2%
. 11
16.7%
; 9
13.6%
· 5
 
7.6%
? 2
 
3.0%
! 1
 
1.5%
Space Separator
ValueCountFrequency (%)
309
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1395
56.9%
Common 816
33.3%
Latin 242
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 73
 
5.2%
국 60
 
4.3%
제 59
 
4.2%
전 40
 
2.9%
스 38
 
2.7%
포 34
 
2.4%
한 33
 
2.4%
대 32
 
2.3%
박 32
 
2.3%
람 31
 
2.2%
Other values (256) 963
69.0%
Latin
ValueCountFrequency (%)
d 19
 
7.9%
K 19
 
7.9%
O 19
 
7.9%
A 17
 
7.0%
E 14
 
5.8%
R 14
 
5.8%
N 13
 
5.4%
t 12
 
5.0%
o 12
 
5.0%
i 11
 
4.5%
Other values (29) 92
38.0%
Common
ValueCountFrequency (%)
309
37.9%
2 172
21.1%
1 102
 
12.5%
0 83
 
10.2%
& 22
 
2.7%
) 21
 
2.6%
( 21
 
2.6%
/ 16
 
2.0%
. 11
 
1.3%
- 9
 
1.1%
Other values (12) 50
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1395
56.9%
ASCII 1053
42.9%
None 5
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
309
29.3%
2 172
16.3%
1 102
 
9.7%
0 83
 
7.9%
& 22
 
2.1%
) 21
 
2.0%
( 21
 
2.0%
d 19
 
1.8%
K 19
 
1.8%
O 19
 
1.8%
Other values (50) 266
25.3%
Hangul
ValueCountFrequency (%)
회 73
 
5.2%
국 60
 
4.3%
제 59
 
4.2%
전 40
 
2.9%
스 38
 
2.7%
포 34
 
2.4%
한 33
 
2.4%
대 32
 
2.3%
박 32
 
2.3%
람 31
 
2.2%
Other values (256) 963
69.0%
None
ValueCountFrequency (%)
· 5
100.0%

행사기간
Text

Distinct87
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-11T06:49:54.858649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters2331
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)62.2%

Sample

1st row2021-07-08~2021-07-08
2nd row2021-05-21~2021-05-22
3rd row2021-12-03~2021-12-03
4th row2021-11-26~2021-11-28
5th row2021-11-27~2021-11-28
ValueCountFrequency (%)
2021-10-13~2021-10-15 5
 
4.5%
2021-07-08~2021-07-08 4
 
3.6%
2021-09-30~2021-10-03 3
 
2.7%
2021-09-14~2021-09-16 2
 
1.8%
2021-10-19~2021-10-22 2
 
1.8%
2021-07-06~2021-07-09 2
 
1.8%
2021-11-18~2021-11-21 2
 
1.8%
2021-07-02~2021-07-02 2
 
1.8%
2021-10-06~2021-10-08 2
 
1.8%
2021-10-14~2021-10-17 2
 
1.8%
Other values (77) 85
76.6%
2023-12-11T06:49:55.162712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 536
23.0%
0 492
21.1%
1 454
19.5%
- 444
19.0%
~ 111
 
4.8%
7 57
 
2.4%
8 48
 
2.1%
3 46
 
2.0%
9 44
 
1.9%
6 36
 
1.5%
Other values (2) 63
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1776
76.2%
Dash Punctuation 444
 
19.0%
Math Symbol 111
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 536
30.2%
0 492
27.7%
1 454
25.6%
7 57
 
3.2%
8 48
 
2.7%
3 46
 
2.6%
9 44
 
2.5%
6 36
 
2.0%
5 34
 
1.9%
4 29
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 444
100.0%
Math Symbol
ValueCountFrequency (%)
~ 111
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2331
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 536
23.0%
0 492
21.1%
1 454
19.5%
- 444
19.0%
~ 111
 
4.8%
7 57
 
2.4%
8 48
 
2.1%
3 46
 
2.0%
9 44
 
1.9%
6 36
 
1.5%
Other values (2) 63
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2331
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 536
23.0%
0 492
21.1%
1 454
19.5%
- 444
19.0%
~ 111
 
4.8%
7 57
 
2.4%
8 48
 
2.1%
3 46
 
2.0%
9 44
 
1.9%
6 36
 
1.5%
Other values (2) 63
 
2.7%

행사장소
Text

MISSING 

Distinct63
Distinct (%)57.8%
Missing2
Missing (%)1.8%
Memory size1020.0 B
2023-12-11T06:49:55.363134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length39
Mean length10.146789
Min length5

Characters and Unicode

Total characters1106
Distinct characters40
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 (%)37.6%

Sample

1st row회의실 303
2nd row전시홀 6
3rd row전시홀 2A
4th row회의실 301~308.403~406B
5th row전시홀 6C
ValueCountFrequency (%)
전시홀 91
33.2%
회의실 16
 
5.8%
5 10
 
3.6%
7.전시홀 8
 
2.9%
7 8
 
2.9%
2.전시홀 8
 
2.9%
3.전시홀 8
 
2.9%
8 7
 
2.6%
4.전시홀 7
 
2.6%
6c 6
 
2.2%
Other values (59) 105
38.3%
2023-12-11T06:49:55.707850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
14.9%
전 138
12.5%
시 138
12.5%
홀 138
12.5%
. 67
 
6.1%
3 44
 
4.0%
A 39
 
3.5%
0 36
 
3.3%
2 34
 
3.1%
4 30
 
2.7%
Other values (30) 277
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 511
46.2%
Decimal Number 253
22.9%
Space Separator 165
 
14.9%
Uppercase Letter 74
 
6.7%
Other Punctuation 67
 
6.1%
Lowercase Letter 28
 
2.5%
Math Symbol 8
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 138
27.0%
시 138
27.0%
홀 138
27.0%
회 24
 
4.7%
의 24
 
4.7%
실 24
 
4.7%
그 5
 
1.0%
랜 5
 
1.0%
룸 5
 
1.0%
볼 5
 
1.0%
Decimal Number
ValueCountFrequency (%)
3 44
17.4%
0 36
14.2%
2 34
13.4%
4 30
11.9%
7 26
10.3%
1 24
9.5%
5 19
7.5%
6 16
 
6.3%
8 16
 
6.3%
9 8
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
A 39
52.7%
B 17
23.0%
C 9
 
12.2%
L 5
 
6.8%
H 1
 
1.4%
V 1
 
1.4%
I 1
 
1.4%
P 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
e 5
17.9%
g 5
17.9%
n 5
17.9%
u 5
17.9%
o 5
17.9%
l 2
 
7.1%
a 1
 
3.6%
Math Symbol
ValueCountFrequency (%)
~ 7
87.5%
+ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
165
100.0%
Other Punctuation
ValueCountFrequency (%)
. 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 511
46.2%
Common 493
44.6%
Latin 102
 
9.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 39
38.2%
B 17
16.7%
C 9
 
8.8%
L 5
 
4.9%
e 5
 
4.9%
g 5
 
4.9%
n 5
 
4.9%
u 5
 
4.9%
o 5
 
4.9%
l 2
 
2.0%
Other values (5) 5
 
4.9%
Common
ValueCountFrequency (%)
165
33.5%
. 67
13.6%
3 44
 
8.9%
0 36
 
7.3%
2 34
 
6.9%
4 30
 
6.1%
7 26
 
5.3%
1 24
 
4.9%
5 19
 
3.9%
6 16
 
3.2%
Other values (4) 32
 
6.5%
Hangul
ValueCountFrequency (%)
전 138
27.0%
시 138
27.0%
홀 138
27.0%
회 24
 
4.7%
의 24
 
4.7%
실 24
 
4.7%
그 5
 
1.0%
랜 5
 
1.0%
룸 5
 
1.0%
볼 5
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 595
53.8%
Hangul 511
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
27.7%
. 67
11.3%
3 44
 
7.4%
A 39
 
6.6%
0 36
 
6.1%
2 34
 
5.7%
4 30
 
5.0%
7 26
 
4.4%
1 24
 
4.0%
5 19
 
3.2%
Other values (19) 111
18.7%
Hangul
ValueCountFrequency (%)
전 138
27.0%
시 138
27.0%
홀 138
27.0%
회 24
 
4.7%
의 24
 
4.7%
실 24
 
4.7%
그 5
 
1.0%
랜 5
 
1.0%
룸 5
 
1.0%
볼 5
 
1.0%

주최기관
Text

MISSING 

Distinct82
Distinct (%)78.1%
Missing6
Missing (%)5.4%
Memory size1020.0 B
2023-12-11T06:49:55.943151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length26
Mean length11.314286
Min length2

Characters and Unicode

Total characters1188
Distinct characters203
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)63.8%

Sample

1st row라인건설
2nd row경기도. (사)동북아평화경제협회
3rd row주식회사 아이디어코리아(IDEA KOREA)
4th row(주)아이디어코리아
5th row경기도
ValueCountFrequency (%)
경기도 7
 
4.3%
산업통상자원부 6
 
3.7%
킨텍스 6
 
3.7%
조직위원회 5
 
3.0%
고양시 5
 
3.0%
주)메쎄이상 4
 
2.4%
주식회사 4
 
2.4%
문화체육관광부 3
 
1.8%
3
 
1.8%
과학기술정보통신부 3
 
1.8%
Other values (100) 118
72.0%
2023-12-11T06:49:56.334254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
 
5.0%
회 36
 
3.0%
국 34
 
2.9%
한 34
 
2.9%
( 34
 
2.9%
) 34
 
2.9%
. 33
 
2.8%
기 27
 
2.3%
주 26
 
2.2%
원 23
 
1.9%
Other values (193) 848
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 944
79.5%
Space Separator 59
 
5.0%
Uppercase Letter 52
 
4.4%
Other Punctuation 36
 
3.0%
Open Punctuation 34
 
2.9%
Close Punctuation 34
 
2.9%
Lowercase Letter 21
 
1.8%
Other Symbol 4
 
0.3%
Decimal Number 3
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 36
 
3.8%
국 34
 
3.6%
한 34
 
3.6%
기 27
 
2.9%
주 26
 
2.8%
원 23
 
2.4%
부 22
 
2.3%
협 22
 
2.3%
업 21
 
2.2%
경 20
 
2.1%
Other values (154) 679
71.9%
Uppercase Letter
ValueCountFrequency (%)
E 8
15.4%
T 6
11.5%
K 6
11.5%
A 5
9.6%
R 5
9.6%
O 4
7.7%
D 3
 
5.8%
I 3
 
5.8%
C 3
 
5.8%
N 2
 
3.8%
Other values (5) 7
13.5%
Lowercase Letter
ValueCountFrequency (%)
m 2
9.5%
r 2
9.5%
i 2
9.5%
e 2
9.5%
n 2
9.5%
o 2
9.5%
a 2
9.5%
g 1
 
4.8%
d 1
 
4.8%
l 1
 
4.8%
Other values (4) 4
19.0%
Other Punctuation
ValueCountFrequency (%)
. 33
91.7%
/ 2
 
5.6%
& 1
 
2.8%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 948
79.8%
Common 167
 
14.1%
Latin 73
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 36
 
3.8%
국 34
 
3.6%
한 34
 
3.6%
기 27
 
2.8%
주 26
 
2.7%
원 23
 
2.4%
부 22
 
2.3%
협 22
 
2.3%
업 21
 
2.2%
경 20
 
2.1%
Other values (155) 683
72.0%
Latin
ValueCountFrequency (%)
E 8
 
11.0%
T 6
 
8.2%
K 6
 
8.2%
A 5
 
6.8%
R 5
 
6.8%
O 4
 
5.5%
D 3
 
4.1%
I 3
 
4.1%
C 3
 
4.1%
m 2
 
2.7%
Other values (19) 28
38.4%
Common
ValueCountFrequency (%)
59
35.3%
( 34
20.4%
) 34
20.4%
. 33
19.8%
1 2
 
1.2%
/ 2
 
1.2%
& 1
 
0.6%
3 1
 
0.6%
+ 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 944
79.5%
ASCII 240
 
20.2%
None 4
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59
24.6%
( 34
14.2%
) 34
14.2%
. 33
13.8%
E 8
 
3.3%
T 6
 
2.5%
K 6
 
2.5%
A 5
 
2.1%
R 5
 
2.1%
O 4
 
1.7%
Other values (28) 46
19.2%
Hangul
ValueCountFrequency (%)
회 36
 
3.8%
국 34
 
3.6%
한 34
 
3.6%
기 27
 
2.9%
주 26
 
2.8%
원 23
 
2.4%
부 22
 
2.3%
협 22
 
2.3%
업 21
 
2.2%
경 20
 
2.1%
Other values (154) 679
71.9%
None
ValueCountFrequency (%)
㈜ 4
100.0%

주관기관
Text

MISSING 

Distinct45
Distinct (%)97.8%
Missing65
Missing (%)58.6%
Memory size1020.0 B
2023-12-11T06:49:56.600224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length134
Median length43
Mean length20.956522
Min length3

Characters and Unicode

Total characters964
Distinct characters220
Distinct categories11 ?
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 (%)95.7%

Sample

1st row킨텍스. 경기연구원. 한반도종전평화캠페인. 6.15공동선언실천 남측위원회
2nd row경기콘텐츠진흥원. 한국만화영상진흥원. 킨텍스
3rd row주식회사 비스컨애드
4th row대한태권도협회(KTA)
5th row동반성장위원회. ㈜엑스포앤유
ValueCountFrequency (%)
킨텍스 9
 
8.2%
3
 
2.7%
kintex 3
 
2.7%
주)경연전람 2
 
1.8%
경기연구원 2
 
1.8%
kotra 2
 
1.8%
한국에너지공단 2
 
1.8%
주)메쎄이상 2
 
1.8%
한국생산기술연구원 2
 
1.8%
주식회사 2
 
1.8%
Other values (81) 81
73.6%
2023-12-11T06:49:57.039676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
64
 
6.6%
. 50
 
5.2%
한 40
 
4.1%
국 36
 
3.7%
회 29
 
3.0%
기 26
 
2.7%
원 22
 
2.3%
경 19
 
2.0%
스 19
 
2.0%
협 17
 
1.8%
Other values (210) 642
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 727
75.4%
Other Punctuation 66
 
6.8%
Space Separator 64
 
6.6%
Uppercase Letter 50
 
5.2%
Lowercase Letter 18
 
1.9%
Open Punctuation 12
 
1.2%
Close Punctuation 12
 
1.2%
Other Symbol 9
 
0.9%
Decimal Number 4
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 40
 
5.5%
국 36
 
5.0%
회 29
 
4.0%
기 26
 
3.6%
원 22
 
3.0%
경 19
 
2.6%
스 19
 
2.6%
협 17
 
2.3%
업 16
 
2.2%
산 15
 
2.1%
Other values (173) 488
67.1%
Uppercase Letter
ValueCountFrequency (%)
T 7
14.0%
E 6
12.0%
K 6
12.0%
S 4
8.0%
N 4
8.0%
A 4
8.0%
X 3
6.0%
O 3
6.0%
I 3
6.0%
R 3
6.0%
Other values (6) 7
14.0%
Lowercase Letter
ValueCountFrequency (%)
d 4
22.2%
m 4
22.2%
t 2
11.1%
o 2
11.1%
i 2
11.1%
p 2
11.1%
a 2
11.1%
Other Punctuation
ValueCountFrequency (%)
. 50
75.8%
/ 9
 
13.6%
; 4
 
6.1%
& 2
 
3.0%
· 1
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
5 1
25.0%
6 1
25.0%
Space Separator
ValueCountFrequency (%)
64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 736
76.3%
Common 160
 
16.6%
Latin 68
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 40
 
5.4%
국 36
 
4.9%
회 29
 
3.9%
기 26
 
3.5%
원 22
 
3.0%
경 19
 
2.6%
스 19
 
2.6%
협 17
 
2.3%
업 16
 
2.2%
산 15
 
2.0%
Other values (174) 497
67.5%
Latin
ValueCountFrequency (%)
T 7
 
10.3%
E 6
 
8.8%
K 6
 
8.8%
S 4
 
5.9%
N 4
 
5.9%
A 4
 
5.9%
d 4
 
5.9%
m 4
 
5.9%
X 3
 
4.4%
O 3
 
4.4%
Other values (13) 23
33.8%
Common
ValueCountFrequency (%)
64
40.0%
. 50
31.2%
( 12
 
7.5%
) 12
 
7.5%
/ 9
 
5.6%
; 4
 
2.5%
1 2
 
1.2%
& 2
 
1.2%
- 1
 
0.6%
+ 1
 
0.6%
Other values (3) 3
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 727
75.4%
ASCII 227
 
23.5%
None 10
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
64
28.2%
. 50
22.0%
( 12
 
5.3%
) 12
 
5.3%
/ 9
 
4.0%
T 7
 
3.1%
E 6
 
2.6%
K 6
 
2.6%
S 4
 
1.8%
N 4
 
1.8%
Other values (25) 53
23.3%
Hangul
ValueCountFrequency (%)
한 40
 
5.5%
국 36
 
5.0%
회 29
 
4.0%
기 26
 
3.6%
원 22
 
3.0%
경 19
 
2.6%
스 19
 
2.6%
협 17
 
2.3%
업 16
 
2.2%
산 15
 
2.1%
Other values (173) 488
67.1%
None
ValueCountFrequency (%)
㈜ 9
90.0%
· 1
 
10.0%

전화번호
Text

MISSING 

Distinct82
Distinct (%)82.0%
Missing11
Missing (%)9.9%
Memory size1020.0 B
2023-12-11T06:49:57.335160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.85
Min length11

Characters and Unicode

Total characters1185
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)68.0%

Sample

1st row031-995-8764
2nd row031-492-7833
3rd row031-492-7833
4th row031-995-8766
5th row031-976-9956
ValueCountFrequency (%)
02-6677-3477 3
 
3.0%
02-785-4771 3
 
3.0%
02-551-0102 3
 
3.0%
02-356-4309 3
 
3.0%
02-6121-6458 2
 
2.0%
02-360-4521 2
 
2.0%
02-719-6933 2
 
2.0%
02-599-1582 2
 
2.0%
02-2236-2172 2
 
2.0%
02-2238-0345 2
 
2.0%
Other values (72) 76
76.0%
2023-12-11T06:49:57.778831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 200
16.9%
0 177
14.9%
2 144
12.2%
3 109
9.2%
1 95
8.0%
7 93
7.8%
5 85
7.2%
9 81
6.8%
8 78
 
6.6%
6 75
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 985
83.1%
Dash Punctuation 200
 
16.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 177
18.0%
2 144
14.6%
3 109
11.1%
1 95
9.6%
7 93
9.4%
5 85
8.6%
9 81
8.2%
8 78
7.9%
6 75
7.6%
4 48
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1185
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 200
16.9%
0 177
14.9%
2 144
12.2%
3 109
9.2%
1 95
8.0%
7 93
7.8%
5 85
7.2%
9 81
6.8%
8 78
 
6.6%
6 75
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1185
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 200
16.9%
0 177
14.9%
2 144
12.2%
3 109
9.2%
1 95
8.0%
7 93
7.8%
5 85
7.2%
9 81
6.8%
8 78
 
6.6%
6 75
 
6.3%

팩스번호
Text

MISSING 

Distinct31
Distinct (%)70.5%
Missing67
Missing (%)60.4%
Memory size1020.0 B
2023-12-11T06:49:57.998345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.772727
Min length11

Characters and Unicode

Total characters518
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)47.7%

Sample

1st row02-6455-0941
2nd row02-783-7292
3rd row02-6455-0941
4th row02-3785-3908
5th row031-995-8786
ValueCountFrequency (%)
0505-356-4309 3
 
6.8%
02-6677-0477 3
 
6.8%
02-2238-0348 3
 
6.8%
02-599-1498 2
 
4.5%
02-6455-0941 2
 
4.5%
02-780-0368 2
 
4.5%
031-258-8509 2
 
4.5%
02-715-8245 2
 
4.5%
031-995-8049 2
 
4.5%
02-6121-6459 2
 
4.5%
Other values (21) 21
47.7%
2023-12-11T06:49:58.350487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 88
17.0%
0 84
16.2%
2 53
10.2%
9 49
9.5%
5 44
8.5%
3 41
7.9%
8 39
7.5%
1 39
7.5%
7 29
 
5.6%
6 27
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 430
83.0%
Dash Punctuation 88
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 84
19.5%
2 53
12.3%
9 49
11.4%
5 44
10.2%
3 41
9.5%
8 39
9.1%
1 39
9.1%
7 29
 
6.7%
6 27
 
6.3%
4 25
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 518
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 88
17.0%
0 84
16.2%
2 53
10.2%
9 49
9.5%
5 44
8.5%
3 41
7.9%
8 39
7.5%
1 39
7.5%
7 29
 
5.6%
6 27
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 518
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 88
17.0%
0 84
16.2%
2 53
10.2%
9 49
9.5%
5 44
8.5%
3 41
7.9%
8 39
7.5%
1 39
7.5%
7 29
 
5.6%
6 27
 
5.2%

홈페이지
Text

MISSING 

Distinct76
Distinct (%)86.4%
Missing23
Missing (%)20.7%
Memory size1020.0 B
2023-12-11T06:49:58.576478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length20.806818
Min length10

Characters and Unicode

Total characters1831
Distinct characters50
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)72.7%

Sample

1st rowwww.dmzforum.or.kr/2021/
2nd rowhttp://www.ideafitkorea.com/
3rd rowhttp://www.ideafitkorea.com/
4th rowwww.webtoonfair.com
5th rowhttp://goyanggagufair.com/
ValueCountFrequency (%)
www.thegolfshow.co.kr 3
 
3.4%
www.koplas.com 2
 
2.3%
www.koreapack.org 2
 
2.3%
http://www.kontrs.or.kr 2
 
2.3%
www.megashow.co.kr 2
 
2.3%
www.gojobcon.kr 2
 
2.3%
www.momnbabyexpo.co.kr 2
 
2.3%
www.cobe.co.kr 2
 
2.3%
http://kculturefestival.kr 2
 
2.3%
www.dong-afairs.co.kr 2
 
2.3%
Other values (65) 67
76.1%
2023-12-11T06:49:59.004034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 235
12.8%
. 214
 
11.7%
o 178
 
9.7%
r 128
 
7.0%
k 96
 
5.2%
c 91
 
5.0%
e 87
 
4.8%
t 86
 
4.7%
a 80
 
4.4%
/ 60
 
3.3%
Other values (40) 576
31.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1481
80.9%
Other Punctuation 291
 
15.9%
Decimal Number 28
 
1.5%
Uppercase Letter 17
 
0.9%
Dash Punctuation 13
 
0.7%
Math Symbol 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 235
15.9%
o 178
12.0%
r 128
 
8.6%
k 96
 
6.5%
c 91
 
6.1%
e 87
 
5.9%
t 86
 
5.8%
a 80
 
5.4%
p 54
 
3.6%
m 53
 
3.6%
Other values (15) 393
26.5%
Uppercase Letter
ValueCountFrequency (%)
O 3
17.6%
A 2
11.8%
E 2
11.8%
K 2
11.8%
D 1
 
5.9%
R 1
 
5.9%
T 1
 
5.9%
W 1
 
5.9%
N 1
 
5.9%
L 1
 
5.9%
Other values (2) 2
11.8%
Decimal Number
ValueCountFrequency (%)
2 9
32.1%
0 9
32.1%
1 5
17.9%
3 2
 
7.1%
9 1
 
3.6%
6 1
 
3.6%
7 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 214
73.5%
/ 60
 
20.6%
: 16
 
5.5%
? 1
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1498
81.8%
Common 333
 
18.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 235
15.7%
o 178
11.9%
r 128
 
8.5%
k 96
 
6.4%
c 91
 
6.1%
e 87
 
5.8%
t 86
 
5.7%
a 80
 
5.3%
p 54
 
3.6%
m 53
 
3.5%
Other values (27) 410
27.4%
Common
ValueCountFrequency (%)
. 214
64.3%
/ 60
 
18.0%
: 16
 
4.8%
- 13
 
3.9%
2 9
 
2.7%
0 9
 
2.7%
1 5
 
1.5%
3 2
 
0.6%
9 1
 
0.3%
6 1
 
0.3%
Other values (3) 3
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1831
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 235
12.8%
. 214
 
11.7%
o 178
 
9.7%
r 128
 
7.0%
k 96
 
5.2%
c 91
 
5.0%
e 87
 
4.8%
t 86
 
4.7%
a 80
 
4.4%
/ 60
 
3.3%
Other values (40) 576
31.5%

Correlations

2023-12-11T06:49:59.146290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행사기간행사장소주최기관주관기관전화번호팩스번호홈페이지
행사기간1.0000.0000.9760.9790.8880.9700.977
행사장소0.0001.0000.9811.0000.9570.9080.924
주최기관0.9760.9811.0001.0000.9920.9930.996
주관기관0.9791.0001.0001.0001.0001.0001.000
전화번호0.8880.9570.9921.0001.0000.9970.999
팩스번호0.9700.9080.9931.0000.9971.0000.995
홈페이지0.9770.9240.9961.0000.9990.9951.000

Missing values

2023-12-11T06:49:53.766090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:49:53.876305image/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.
2023-12-11T06:49:53.976810image/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

행사명행사기간행사장소주최기관주관기관전화번호팩스번호홈페이지
0(주)동양건설산업/(주)라인건설/(주)라인산업 안전보건관리자(건축-신규&팀원 / 토목) 직무교육2021-07-08~2021-07-08회의실 303라인건설<NA><NA><NA><NA>
12021 DMZ 포럼2021-05-21~2021-05-22전시홀 6경기도. (사)동북아평화경제협회킨텍스. 경기연구원. 한반도종전평화캠페인. 6.15공동선언실천 남측위원회031-995-8764<NA>www.dmzforum.or.kr/2021/
22021 ICT멘토링 엑스포2021-12-03~2021-12-03전시홀 2A<NA><NA><NA><NA><NA>
32021 IDEA KOREA CONVENTION2021-11-26~2021-11-28회의실 301~308.403~406B주식회사 아이디어코리아(IDEA KOREA)<NA>031-492-7833<NA>http://www.ideafitkorea.com/
42021 IDEA KOREA CONVENTION2021-11-27~2021-11-28전시홀 6C(주)아이디어코리아<NA>031-492-7833<NA>http://www.ideafitkorea.com/
52021 경기국제웹툰페어2021-10-07~2021-10-10전시홀 3A경기도경기콘텐츠진흥원. 한국만화영상진흥원. 킨텍스031-995-8766<NA>www.webtoonfair.com
62021 고양가구박람회2021-06-10~2021-06-13전시홀 1경기고양시 일산가구협동조합 / 고양시가구협동조합주식회사 비스컨애드031-976-9956<NA>http://goyanggagufair.com/
72021 고양시&middot;KTA 태권도장교육산업박람회2021-10-02~2021-10-03전시홀 6B.전시홀 6C고양시. 대한태권도협회(KTA)대한태권도협회(KTA)031-8075-2801<NA><NA>
82021 국제 아웃도어 캠핑&레포츠 페스티벌2021-06-04~2021-06-06전시홀 7.전시홀 8A(주)메쎄이상<NA>02-6121-638802-6455-0941www.caf.co.kr
92021 국제광융합엑스포2021-10-13~2021-10-15전시홀 3A산업통상자원부. (사)LED산업포럼. 대한무역투자진흥공사(KOTRA)동반성장위원회. ㈜엑스포앤유02-783-797902-783-7292www.ledexpo.com
행사명행사기간행사장소주최기관주관기관전화번호팩스번호홈페이지
101태양광발전 창업교육 (필수과정)2021-07-02~2021-07-02회의실 208경기테크노파크<NA>031-500-3156<NA><NA>
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