Overview

Dataset statistics

Number of variables11
Number of observations3869
Missing cells7
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory336.4 KiB
Average record size in memory89.0 B

Variable types

Numeric1
Text3
Categorical2
DateTime5

Dataset

Description문화체육관광부_정책브리핑_이벤트는 정책브리핑에서 이벤트, 퀴즈를 수행하기 위한 기본 정보를 나타내는 데이터셋 입니다
Author문화체육관광부
URLhttps://www.data.go.kr/data/15042143/fileData.do

Alerts

타겟구분 is highly imbalanced (97.6%)Imbalance
사용여부 is highly imbalanced (87.2%)Imbalance
이벤트아이디 has unique valuesUnique
등록일 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:57:58.247191
Analysis finished2023-12-12 22:58:00.041617
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

이벤트아이디
Real number (ℝ)

UNIQUE 

Distinct3869
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1952.3781
Minimum2
Maximum3891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.1 KiB
2023-12-13T07:58:00.122830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile195.4
Q1983
median1957
Q32924
95-th percentile3697.6
Maximum3891
Range3889
Interquartile range (IQR)1941

Descriptive statistics

Standard deviation1122.8294
Coefficient of variation (CV)0.57510857
Kurtosis-1.1971631
Mean1952.3781
Median Absolute Deviation (MAD)971
Skewness-0.0086798192
Sum7553751
Variance1260745.9
MonotonicityStrictly increasing
2023-12-13T07:58:00.283343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1
 
< 0.1%
2563 1
 
< 0.1%
2595 1
 
< 0.1%
2596 1
 
< 0.1%
2597 1
 
< 0.1%
2598 1
 
< 0.1%
2599 1
 
< 0.1%
2600 1
 
< 0.1%
2601 1
 
< 0.1%
2602 1
 
< 0.1%
Other values (3859) 3859
99.7%
ValueCountFrequency (%)
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%
11 1
< 0.1%
ValueCountFrequency (%)
3891 1
< 0.1%
3890 1
< 0.1%
3889 1
< 0.1%
3888 1
< 0.1%
3887 1
< 0.1%
3886 1
< 0.1%
3885 1
< 0.1%
3884 1
< 0.1%
3883 1
< 0.1%
3882 1
< 0.1%

이벤트제목
Text

Distinct3835
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
2023-12-13T07:58:00.640249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length57
Mean length30.179633
Min length3

Characters and Unicode

Total characters116765
Distinct characters902
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3805 ?
Unique (%)98.3%

Sample

1st row[문화체육관광부] 스토리 공모전
2nd row[문화체육관광부] 난장 회원가입 이벤트
3rd rowipin 전환 캠페인
4th row[문화체육관광부] 검색이벤트
5th row진도 홍주 이벤트
ValueCountFrequency (%)
공모전 1596
 
7.1%
이벤트 497
 
2.2%
아이디어 370
 
1.7%
문화체육관광부 303
 
1.4%
모집 299
 
1.3%
공모 182
 
0.8%
대한민국 164
 
0.7%
2021 159
 
0.7%
환경부 149
 
0.7%
콘텐츠 140
 
0.6%
Other values (6450) 18490
82.7%
2023-12-13T07:58:01.164832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18685
 
16.0%
] 3799
 
3.3%
[ 3798
 
3.3%
공 2544
 
2.2%
2 2531
 
2.2%
전 2521
 
2.2%
부 2507
 
2.1%
모 2438
 
2.1%
0 1789
 
1.5%
이 1716
 
1.5%
Other values (892) 74437
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78125
66.9%
Space Separator 18685
 
16.0%
Decimal Number 7326
 
6.3%
Close Punctuation 4049
 
3.5%
Open Punctuation 4047
 
3.5%
Uppercase Letter 2026
 
1.7%
Other Punctuation 1241
 
1.1%
Lowercase Letter 912
 
0.8%
Dash Punctuation 125
 
0.1%
Math Symbol 73
 
0.1%
Other values (6) 156
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 2544
 
3.3%
전 2521
 
3.2%
부 2507
 
3.2%
모 2438
 
3.1%
이 1716
 
2.2%
국 1702
 
2.2%
기 1690
 
2.2%
회 1533
 
2.0%
제 1261
 
1.6%
청 1156
 
1.5%
Other values (793) 59057
75.6%
Uppercase Letter
ValueCountFrequency (%)
C 419
20.7%
U 196
 
9.7%
S 164
 
8.1%
T 152
 
7.5%
I 134
 
6.6%
A 112
 
5.5%
N 103
 
5.1%
E 93
 
4.6%
O 83
 
4.1%
K 79
 
3.9%
Other values (16) 491
24.2%
Lowercase Letter
ValueCountFrequency (%)
e 127
13.9%
o 96
10.5%
a 73
 
8.0%
t 73
 
8.0%
n 73
 
8.0%
s 64
 
7.0%
r 59
 
6.5%
i 53
 
5.8%
l 51
 
5.6%
u 41
 
4.5%
Other values (15) 202
22.1%
Other Punctuation
ValueCountFrequency (%)
! 478
38.5%
· 302
24.3%
/ 219
17.6%
. 57
 
4.6%
' 55
 
4.4%
? 53
 
4.3%
" 41
 
3.3%
; 13
 
1.0%
: 10
 
0.8%
＇ 4
 
0.3%
Other values (3) 9
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 2531
34.5%
0 1789
24.4%
1 1441
19.7%
5 262
 
3.6%
3 253
 
3.5%
7 245
 
3.3%
9 244
 
3.3%
6 206
 
2.8%
8 180
 
2.5%
4 175
 
2.4%
Other Symbol
ValueCountFrequency (%)
○ 8
53.3%
□ 4
26.7%
♪ 1
 
6.7%
☎ 1
 
6.7%
★ 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
] 3799
93.8%
) 215
 
5.3%
」 33
 
0.8%
』 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
[ 3798
93.8%
( 215
 
5.3%
「 32
 
0.8%
『 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 67
91.8%
+ 6
 
8.2%
Final Punctuation
ValueCountFrequency (%)
’ 39
59.1%
” 27
40.9%
Initial Punctuation
ValueCountFrequency (%)
‘ 37
56.9%
“ 28
43.1%
Modifier Symbol
ValueCountFrequency (%)
^ 2
50.0%
` 2
50.0%
Space Separator
ValueCountFrequency (%)
18685
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 125
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Modifier Letter
ValueCountFrequency (%)
ː 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78063
66.9%
Common 35702
30.6%
Latin 2939
 
2.5%
Han 61
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 2544
 
3.3%
전 2521
 
3.2%
부 2507
 
3.2%
모 2438
 
3.1%
이 1716
 
2.2%
국 1702
 
2.2%
기 1690
 
2.2%
회 1533
 
2.0%
제 1261
 
1.6%
청 1156
 
1.5%
Other values (755) 58995
75.6%
Latin
ValueCountFrequency (%)
C 419
 
14.3%
U 196
 
6.7%
S 164
 
5.6%
T 152
 
5.2%
I 134
 
4.6%
e 127
 
4.3%
A 112
 
3.8%
N 103
 
3.5%
o 96
 
3.3%
E 93
 
3.2%
Other values (42) 1343
45.7%
Common
ValueCountFrequency (%)
18685
52.3%
] 3799
 
10.6%
[ 3798
 
10.6%
2 2531
 
7.1%
0 1789
 
5.0%
1 1441
 
4.0%
! 478
 
1.3%
· 302
 
0.8%
5 262
 
0.7%
3 253
 
0.7%
Other values (38) 2364
 
6.6%
Han
ValueCountFrequency (%)
愛 7
 
11.5%
海 7
 
11.5%
通 4
 
6.6%
書 2
 
3.3%
食 2
 
3.3%
人 2
 
3.3%
家 2
 
3.3%
林 2
 
3.3%
韓 2
 
3.3%
軍 2
 
3.3%
Other values (27) 29
47.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78055
66.8%
ASCII 38116
32.6%
None 378
 
0.3%
Punctuation 131
 
0.1%
CJK 58
 
< 0.1%
Geometric Shapes 12
 
< 0.1%
Compat Jamo 8
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%
Misc Symbols 3
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18685
49.0%
] 3799
 
10.0%
[ 3798
 
10.0%
2 2531
 
6.6%
0 1789
 
4.7%
1 1441
 
3.8%
! 478
 
1.3%
C 419
 
1.1%
5 262
 
0.7%
3 253
 
0.7%
Other values (72) 4661
 
12.2%
Hangul
ValueCountFrequency (%)
공 2544
 
3.3%
전 2521
 
3.2%
부 2507
 
3.2%
모 2438
 
3.1%
이 1716
 
2.2%
국 1702
 
2.2%
기 1690
 
2.2%
회 1533
 
2.0%
제 1261
 
1.6%
청 1156
 
1.5%
Other values (751) 58987
75.6%
None
ValueCountFrequency (%)
· 302
79.9%
」 33
 
8.7%
「 32
 
8.5%
＇ 4
 
1.1%
』 2
 
0.5%
？ 2
 
0.5%
『 2
 
0.5%
º 1
 
0.3%
Punctuation
ValueCountFrequency (%)
’ 39
29.8%
‘ 37
28.2%
“ 28
21.4%
” 27
20.6%
Geometric Shapes
ValueCountFrequency (%)
○ 8
66.7%
□ 4
33.3%
CJK
ValueCountFrequency (%)
愛 7
 
12.1%
海 7
 
12.1%
通 4
 
6.9%
書 2
 
3.4%
食 2
 
3.4%
人 2
 
3.4%
家 2
 
3.4%
林 2
 
3.4%
韓 2
 
3.4%
軍 2
 
3.4%
Other values (24) 26
44.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
50.0%
ㄱ 2
25.0%
ㅁ 1
 
12.5%
ㅇ 1
 
12.5%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
33.3%
茶 1
33.3%
樂 1
33.3%
Modifier Letters
ValueCountFrequency (%)
ː 1
100.0%
Misc Symbols
ValueCountFrequency (%)
♪ 1
33.3%
☎ 1
33.3%
★ 1
33.3%

이벤트주소
Text

Distinct3650
Distinct (%)94.4%
Missing1
Missing (%)< 0.1%
Memory size30.4 KiB
2023-12-13T07:58:01.452628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length436
Median length198
Mean length62.377715
Min length12

Characters and Unicode

Total characters241277
Distinct characters241
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

Unique3500 ?
Unique (%)90.5%

Sample

1st rowhttp://www.storybank.or.kr/
2nd rowhttp://www.nanjang.go.kr/
3rd rowhttp://blog.daum.net/kcc1335/1509
4th rowhttp://www.culture.go.kr/culture_portal/mypage/quiz/EventQuizMain.jsp
5th rowhttp://hongju.jindo.go.kr/sub.php?pid=TT06020000&wr_id=154
ValueCountFrequency (%)
http://www.korea.kr/policyplus/byulbyullist.do 9
 
0.2%
http://www.keadcontest.co.kr 8
 
0.2%
http://paas-ta.co.kr 6
 
0.2%
http://contest.kenca.or.kr 5
 
0.1%
http://design.kesco.or.kr 5
 
0.1%
http://www.datacontest.kr 5
 
0.1%
http://www.mof.go.kr/contest/index.do 5
 
0.1%
http://sidea.or.kr 4
 
0.1%
http://blog.naver.com/bizinfo1357 4
 
0.1%
http://www.kmaphoto.co.kr 4
 
0.1%
Other values (3636) 3816
98.6%
2023-12-13T07:58:01.882932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 16371
 
6.8%
t 15508
 
6.4%
o 12447
 
5.2%
e 11922
 
4.9%
p 11646
 
4.8%
. 11507
 
4.8%
a 11319
 
4.7%
w 8632
 
3.6%
r 8629
 
3.6%
m 8375
 
3.5%
Other values (231) 124921
51.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 152144
63.1%
Other Punctuation 40256
 
16.7%
Decimal Number 32848
 
13.6%
Uppercase Letter 8049
 
3.3%
Math Symbol 4768
 
2.0%
Connector Punctuation 2209
 
0.9%
Dash Punctuation 519
 
0.2%
Other Letter 466
 
0.2%
Space Separator 13
 
< 0.1%
Other Symbol 2
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 28
 
6.0%
전 28
 
6.0%
모 25
 
5.4%
해 12
 
2.6%
회 10
 
2.1%
기 9
 
1.9%
안 8
 
1.7%
한 7
 
1.5%
훈 7
 
1.5%
자 6
 
1.3%
Other values (147) 326
70.0%
Lowercase Letter
ValueCountFrequency (%)
t 15508
 
10.2%
o 12447
 
8.2%
e 11922
 
7.8%
p 11646
 
7.7%
a 11319
 
7.4%
w 8632
 
5.7%
r 8629
 
5.7%
m 8375
 
5.5%
s 7104
 
4.7%
n 7042
 
4.6%
Other values (16) 49520
32.5%
Uppercase Letter
ValueCountFrequency (%)
I 955
 
11.9%
N 659
 
8.2%
B 645
 
8.0%
S 626
 
7.8%
C 525
 
6.5%
D 456
 
5.7%
A 426
 
5.3%
T 418
 
5.2%
E 411
 
5.1%
M 405
 
5.0%
Other values (16) 2523
31.3%
Other Punctuation
ValueCountFrequency (%)
/ 16371
40.7%
. 11507
28.6%
: 3894
 
9.7%
; 3348
 
8.3%
& 3336
 
8.3%
? 1547
 
3.8%
% 179
 
0.4%
# 53
 
0.1%
! 19
 
< 0.1%
？ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 7013
21.3%
1 5197
15.8%
2 4149
12.6%
3 2740
 
8.3%
4 2595
 
7.9%
9 2310
 
7.0%
5 2280
 
6.9%
7 2219
 
6.8%
6 2197
 
6.7%
8 2148
 
6.5%
Math Symbol
ValueCountFrequency (%)
= 4755
99.7%
+ 8
 
0.2%
~ 3
 
0.1%
| 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
」 1
50.0%
] 1
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2209
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 519
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Symbol
ValueCountFrequency (%)
® 2
100.0%
Open Punctuation
ValueCountFrequency (%)
「 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 160193
66.4%
Common 80618
33.4%
Hangul 466
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 28
 
6.0%
전 28
 
6.0%
모 25
 
5.4%
해 12
 
2.6%
회 10
 
2.1%
기 9
 
1.9%
안 8
 
1.7%
한 7
 
1.5%
훈 7
 
1.5%
자 6
 
1.3%
Other values (147) 326
70.0%
Latin
ValueCountFrequency (%)
t 15508
 
9.7%
o 12447
 
7.8%
e 11922
 
7.4%
p 11646
 
7.3%
a 11319
 
7.1%
w 8632
 
5.4%
r 8629
 
5.4%
m 8375
 
5.2%
s 7104
 
4.4%
n 7042
 
4.4%
Other values (42) 57569
35.9%
Common
ValueCountFrequency (%)
/ 16371
20.3%
. 11507
14.3%
0 7013
 
8.7%
1 5197
 
6.4%
= 4755
 
5.9%
2 4149
 
5.1%
: 3894
 
4.8%
; 3348
 
4.2%
& 3336
 
4.1%
3 2740
 
3.4%
Other values (22) 18308
22.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 240806
99.8%
Hangul 466
 
0.2%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 16371
 
6.8%
t 15508
 
6.4%
o 12447
 
5.2%
e 11922
 
5.0%
p 11646
 
4.8%
. 11507
 
4.8%
a 11319
 
4.7%
w 8632
 
3.6%
r 8629
 
3.6%
m 8375
 
3.5%
Other values (70) 124450
51.7%
Hangul
ValueCountFrequency (%)
공 28
 
6.0%
전 28
 
6.0%
모 25
 
5.4%
해 12
 
2.6%
회 10
 
2.1%
기 9
 
1.9%
안 8
 
1.7%
한 7
 
1.5%
훈 7
 
1.5%
자 6
 
1.3%
Other values (147) 326
70.0%
None
ValueCountFrequency (%)
® 2
40.0%
？ 1
20.0%
」 1
20.0%
「 1
20.0%

타겟구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
새창
3860 
링크
 
9

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
새창 3860
99.8%
링크 9
 
0.2%

Length

2023-12-13T07:58:02.001944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:58:02.109782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
새창 3860
99.8%
링크 9
 
0.2%

내용
Text

Distinct1777
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
2023-12-13T07:58:02.434716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length416
Median length1
Mean length38.28612
Min length1

Characters and Unicode

Total characters148129
Distinct characters1084
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1763 ?
Unique (%)45.6%

Sample

1st row대한 민국 창조 프로젝트 스토리 공모 대전당신의 이야기가 세계의 볼거리로....
2nd row문화 메타 블로그 난장
3rd row인터넷 상에서 내 개인정보가 마구 떠돌아 다니진 않을까? 웹사이트 가입 시 제공한 내 주민번호는 안전하게 보관될까? 이 모든 불안감을 「 i-PIN 전환 캠페인 」 으로 해소하세요!
4th row문화포털 검색이벤트퀴즈 참여 지각생을 결석생을 위한 문제 풀이방이 오픈됩니다.
5th row제 2회 산타와 함께하는 진도 흥주 이벤트 행사
ValueCountFrequency (%)
많은 482
 
1.5%
참여 387
 
1.2%
바랍니다 296
 
0.9%
여러분의 251
 
0.8%
수 232
 
0.7%
있는 225
 
0.7%
통해 215
 
0.7%
드립니다 210
 
0.7%
및 186
 
0.6%
위해 170
 
0.5%
Other values (12416) 28548
91.5%
2023-12-13T07:58:02.927528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31876
 
21.5%
을 2654
 
1.8%
이 2407
 
1.6%
다 2352
 
1.6%
. 2157
 
1.5%
니 2054
 
1.4%
의 1914
 
1.3%
하 1775
 
1.2%
한 1598
 
1.1%
는 1577
 
1.1%
Other values (1074) 97765
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104939
70.8%
Space Separator 31877
 
21.5%
Other Punctuation 4449
 
3.0%
Decimal Number 3226
 
2.2%
Lowercase Letter 1116
 
0.8%
Uppercase Letter 1072
 
0.7%
Close Punctuation 350
 
0.2%
Open Punctuation 344
 
0.2%
Math Symbol 291
 
0.2%
Initial Punctuation 124
 
0.1%
Other values (6) 341
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
을 2654
 
2.5%
이 2407
 
2.3%
다 2352
 
2.2%
니 2054
 
2.0%
의 1914
 
1.8%
하 1775
 
1.7%
한 1598
 
1.5%
는 1577
 
1.5%
여 1560
 
1.5%
를 1556
 
1.5%
Other values (963) 85492
81.5%
Uppercase Letter
ValueCountFrequency (%)
C 190
17.7%
S 118
11.0%
U 102
 
9.5%
T 82
 
7.6%
O 61
 
5.7%
N 56
 
5.2%
I 55
 
5.1%
K 48
 
4.5%
A 48
 
4.5%
E 39
 
3.6%
Other values (16) 273
25.5%
Lowercase Letter
ValueCountFrequency (%)
o 122
 
10.9%
t 103
 
9.2%
e 99
 
8.9%
a 78
 
7.0%
n 68
 
6.1%
r 65
 
5.8%
w 57
 
5.1%
i 57
 
5.1%
s 50
 
4.5%
h 50
 
4.5%
Other values (15) 367
32.9%
Other Punctuation
ValueCountFrequency (%)
. 2157
48.5%
! 1004
22.6%
' 604
 
13.6%
· 182
 
4.1%
" 179
 
4.0%
? 152
 
3.4%
/ 73
 
1.6%
: 50
 
1.1%
& 19
 
0.4%
？ 13
 
0.3%
Other values (5) 16
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 800
24.8%
1 777
24.1%
2 605
18.8%
5 269
 
8.3%
3 246
 
7.6%
6 156
 
4.8%
4 152
 
4.7%
7 104
 
3.2%
9 62
 
1.9%
8 55
 
1.7%
Other Symbol
ValueCountFrequency (%)
□ 13
46.4%
○ 6
21.4%
♪ 2
 
7.1%
♬ 1
 
3.6%
☎ 1
 
3.6%
♥ 1
 
3.6%
♡ 1
 
3.6%
◇ 1
 
3.6%
★ 1
 
3.6%
℃ 1
 
3.6%
Close Punctuation
ValueCountFrequency (%)
) 246
70.3%
」 73
 
20.9%
] 18
 
5.1%
』 12
 
3.4%
】 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 243
70.6%
「 70
 
20.3%
[ 18
 
5.2%
『 12
 
3.5%
【 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 281
96.6%
+ 6
 
2.1%
↔ 2
 
0.7%
↑ 2
 
0.7%
Space Separator
ValueCountFrequency (%)
31876
> 99.9%
　 1
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
^ 104
98.1%
` 2
 
1.9%
Initial Punctuation
ValueCountFrequency (%)
‘ 95
76.6%
“ 29
 
23.4%
Final Punctuation
ValueCountFrequency (%)
’ 95
76.6%
” 29
 
23.4%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104902
70.8%
Common 41002
 
27.7%
Latin 2189
 
1.5%
Han 36
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
을 2654
 
2.5%
이 2407
 
2.3%
다 2352
 
2.2%
니 2054
 
2.0%
의 1914
 
1.8%
하 1775
 
1.7%
한 1598
 
1.5%
는 1577
 
1.5%
여 1560
 
1.5%
를 1556
 
1.5%
Other values (936) 85455
81.5%
Common
ValueCountFrequency (%)
31876
77.7%
. 2157
 
5.3%
! 1004
 
2.4%
0 800
 
2.0%
1 777
 
1.9%
2 605
 
1.5%
' 604
 
1.5%
~ 281
 
0.7%
5 269
 
0.7%
) 246
 
0.6%
Other values (50) 2383
 
5.8%
Latin
ValueCountFrequency (%)
C 190
 
8.7%
o 122
 
5.6%
S 118
 
5.4%
t 103
 
4.7%
U 102
 
4.7%
e 99
 
4.5%
T 82
 
3.7%
a 78
 
3.6%
n 68
 
3.1%
r 65
 
3.0%
Other values (42) 1162
53.1%
Han
ValueCountFrequency (%)
通 4
 
11.1%
林 3
 
8.3%
家 2
 
5.6%
來 2
 
5.6%
新 2
 
5.6%
愛 2
 
5.6%
海 2
 
5.6%
故 1
 
2.8%
賞 1
 
2.8%
對 1
 
2.8%
Other values (16) 16
44.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104834
70.8%
ASCII 42540
28.7%
None 367
 
0.2%
Punctuation 252
 
0.2%
Compat Jamo 68
 
< 0.1%
CJK 35
 
< 0.1%
Geometric Shapes 20
 
< 0.1%
Misc Symbols 7
 
< 0.1%
Arrows 4
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31876
74.9%
. 2157
 
5.1%
! 1004
 
2.4%
0 800
 
1.9%
1 777
 
1.8%
2 605
 
1.4%
' 604
 
1.4%
~ 281
 
0.7%
5 269
 
0.6%
) 246
 
0.6%
Other values (73) 3921
 
9.2%
Hangul
ValueCountFrequency (%)
을 2654
 
2.5%
이 2407
 
2.3%
다 2352
 
2.2%
니 2054
 
2.0%
의 1914
 
1.8%
하 1775
 
1.7%
한 1598
 
1.5%
는 1577
 
1.5%
여 1560
 
1.5%
를 1556
 
1.5%
Other values (921) 85387
81.4%
None
ValueCountFrequency (%)
· 182
49.6%
」 73
19.9%
「 70
 
19.1%
？ 13
 
3.5%
』 12
 
3.3%
『 12
 
3.3%
₂ 1
 
0.3%
º 1
 
0.3%
　 1
 
0.3%
【 1
 
0.3%
Punctuation
ValueCountFrequency (%)
‘ 95
37.7%
’ 95
37.7%
” 29
 
11.5%
“ 29
 
11.5%
… 3
 
1.2%
※ 1
 
0.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 46
67.6%
ㅇ 5
 
7.4%
ㄱ 3
 
4.4%
ㅠ 2
 
2.9%
ㅁ 2
 
2.9%
ㅏ 1
 
1.5%
ㅡ 1
 
1.5%
ㅜ 1
 
1.5%
ㅔ 1
 
1.5%
ㅅ 1
 
1.5%
Other values (5) 5
 
7.4%
Geometric Shapes
ValueCountFrequency (%)
□ 13
65.0%
○ 6
30.0%
◇ 1
 
5.0%
CJK
ValueCountFrequency (%)
通 4
 
11.4%
林 3
 
8.6%
家 2
 
5.7%
來 2
 
5.7%
新 2
 
5.7%
愛 2
 
5.7%
海 2
 
5.7%
故 1
 
2.9%
賞 1
 
2.9%
對 1
 
2.9%
Other values (15) 15
42.9%
Misc Symbols
ValueCountFrequency (%)
♪ 2
28.6%
♬ 1
14.3%
☎ 1
14.3%
♥ 1
14.3%
♡ 1
14.3%
★ 1
14.3%
Arrows
ValueCountFrequency (%)
↔ 2
50.0%
↑ 2
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

사용여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
사용
3801 
미사용
 
68

Length

Max length3
Median length2
Mean length2.0175756
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용 3801
98.2%
미사용 68
 
1.8%

Length

2023-12-13T07:58:03.072891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:58:03.168075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용 3801
98.2%
미사용 68
 
1.8%

등록일
Date

UNIQUE 

Distinct3869
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size30.4 KiB
Minimum2009-12-12 16:21:21
Maximum2022-10-25 13:26:23
2023-12-13T07:58:03.263538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:58:03.408175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시작일
Date

Distinct1842
Distinct (%)47.6%
Missing1
Missing (%)< 0.1%
Memory size30.4 KiB
Minimum2009-03-01 00:00:00
Maximum2022-11-01 00:00:00
2023-12-13T07:58:03.536059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:58:03.651484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종료일
Date

Distinct1980
Distinct (%)51.2%
Missing1
Missing (%)< 0.1%
Memory size30.4 KiB
Minimum2009-12-16 00:00:00
Maximum2022-11-20 00:00:00
2023-12-13T07:58:04.113673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:58:04.281107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

적용시작일
Date

Distinct1846
Distinct (%)47.7%
Missing2
Missing (%)0.1%
Memory size30.4 KiB
Minimum2009-03-01 00:00:00
Maximum2022-11-01 00:00:00
2023-12-13T07:58:04.437445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:58:04.555646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

적용종료일
Date

Distinct1980
Distinct (%)51.2%
Missing2
Missing (%)0.1%
Memory size30.4 KiB
Minimum2009-12-16 00:00:00
Maximum2022-11-20 00:00:00
2023-12-13T07:58:04.703711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:58:04.852164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T07:57:59.507841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:58:04.950404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이벤트아이디타겟구분사용여부
이벤트아이디1.0000.1780.176
타겟구분0.1781.0000.509
사용여부0.1760.5091.000
2023-12-13T07:58:05.037867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
타겟구분사용여부
타겟구분1.0000.340
사용여부0.3401.000
2023-12-13T07:58:05.111727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이벤트아이디타겟구분사용여부
이벤트아이디1.0000.1360.135
타겟구분0.1361.0000.340
사용여부0.1350.3401.000

Missing values

2023-12-13T07:57:59.670877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:57:59.819413image/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.
2023-12-13T07:57:59.947243image/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

이벤트아이디이벤트제목이벤트주소타겟구분내용사용여부등록일시작일종료일적용시작일적용종료일
02[문화체육관광부] 스토리 공모전http://www.storybank.or.kr/링크대한 민국 창조 프로젝트 스토리 공모 대전당신의 이야기가 세계의 볼거리로....미사용2009-12-12 16:21:212010-01-27 00:00:002010-02-05 00:00:002010-01-27 00:00:002010-02-05 00:00:00
13[문화체육관광부] 난장 회원가입 이벤트http://www.nanjang.go.kr/링크문화 메타 블로그 난장미사용2009-12-12 16:23:582009-11-13 00:00:002009-12-16 00:00:002009-11-13 00:00:002009-12-16 00:00:00
24ipin 전환 캠페인http://blog.daum.net/kcc1335/1509링크인터넷 상에서 내 개인정보가 마구 떠돌아 다니진 않을까? 웹사이트 가입 시 제공한 내 주민번호는 안전하게 보관될까? 이 모든 불안감을 「 i-PIN 전환 캠페인 」 으로 해소하세요!미사용2009-12-12 16:25:302009-12-20 00:00:002009-12-22 00:00:002009-12-20 00:00:002009-12-22 00:00:00
35[문화체육관광부] 검색이벤트http://www.culture.go.kr/culture_portal/mypage/quiz/EventQuizMain.jsp링크문화포털 검색이벤트퀴즈 참여 지각생을 결석생을 위한 문제 풀이방이 오픈됩니다.미사용2009-12-12 16:26:532009-11-22 00:00:002009-12-22 00:00:002009-11-22 00:00:002009-12-22 00:00:00
46진도 홍주 이벤트http://hongju.jindo.go.kr/sub.php?pid=TT06020000&wr_id=154링크제 2회 산타와 함께하는 진도 흥주 이벤트 행사미사용2009-12-12 16:30:272009-12-01 00:00:002009-12-20 00:00:002009-12-01 00:00:002009-12-20 00:00:00
57[평창동계올림픽 유치위원회] 평창 동계올림픽 유치 기원 이벤트http://pyeongchang2018.org/home/page/index.asp링크2018평창동계올림픽 유치위원회는 1일부터 오는 20일까지 2018평창동계올림픽 유치붐 조성과 2010밴쿠버동계올림픽에 참가하는 우리나라 선수단의 선전을 기원하는 이벤트 를 홈페이지(http://pyeongchang2018.org)에서 실시한다.미사용2009-12-12 16:33:102009-12-01 00:00:002009-12-20 00:00:002009-12-01 00:00:002009-12-20 00:00:00
68[농수산식품부] 징검다리 편지 공모전http://blog.daum.net/maf2006/13429398링크농어촌과 도시를 이어주는 메타블로그 징검다리에서 농어업인과 도시 소비자의 가슴을 따뜻하게 해줄 편지를 공모합니다.미사용2009-12-14 14:00:122009-12-04 00:00:002009-12-20 00:00:002009-12-04 00:00:002009-12-20 00:00:00
79[검찰청] 검토리 2010년 새해맞이 이벤트http://blog.daum.net/spogood/522링크2009년 검찰블로그에 포스팅 된 기사 중 가장 유익했거나 인상 깊었던 기사를 선정하여 선정이유 및 소감문을 100~150자 내외의 댓글로 응모해주세요.미사용2009-12-14 14:03:472009-12-01 00:00:002009-12-23 00:00:002009-12-01 00:00:002009-12-23 00:00:00
810「국민권익」블로그 대문 디자인 공모 이벤트http://blog.daum.net/loveacrc/1578링크국민권익」블로그 생일은 5우러20일입니다.5월 20일 이후 쭈욱 같은 대문 이미지를 사용했었는데요.연말연시 즈음하여 대문 이미지를 바꿔볼까 해요.톡톡 튀는 아이디어와 디자인을 겸비한 여러분들의 많은 참여 바랍니다.미사용2009-12-17 13:39:492009-12-15 00:00:002010-01-14 00:00:002009-12-15 00:00:002010-01-14 00:00:00
911[한국저작권위원회] Fun Fun 저작권 UCC 공모전http://www.copyrightucc.kr/새창주최: 문화체육관광부 한국저작권위원회참여대상: 대한민국 국민 누구나주제: 저작권과 관련한 자유주제사용2009-12-21 09:44:152009-12-21 00:00:002010-01-10 00:00:002009-12-21 00:00:002010-01-10 00:00:00
이벤트아이디이벤트제목이벤트주소타겟구분내용사용여부등록일시작일종료일적용시작일적용종료일
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