Overview

Dataset statistics

Number of variables10
Number of observations2581
Missing cells23
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory204.3 KiB
Average record size in memory81.1 B

Variable types

Numeric1
Categorical3
Text4
DateTime2

Dataset

Description한국문화예술위원회 국가문화예술지원시스템에 등록되어 있는 국고보조금 지원사업 공연행사정보
Author한국문화예술위원회
URLhttps://www.data.go.kr/data/15033540/fileData.do

Alerts

사업유형 is highly overall correlated with 장르High correlation
장르 is highly overall correlated with 사업유형High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:15:10.389568
Analysis finished2023-12-12 00:15:12.196108
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct2581
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1291
Minimum1
Maximum2581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2023-12-12T09:15:12.265549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile130
Q1646
median1291
Q31936
95-th percentile2452
Maximum2581
Range2580
Interquartile range (IQR)1290

Descriptive statistics

Standard deviation745.21485
Coefficient of variation (CV)0.57723846
Kurtosis-1.2
Mean1291
Median Absolute Deviation (MAD)645
Skewness0
Sum3332071
Variance555345.17
MonotonicityStrictly increasing
2023-12-12T09:15:12.399869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1696 1
 
< 0.1%
1718 1
 
< 0.1%
1719 1
 
< 0.1%
1720 1
 
< 0.1%
1721 1
 
< 0.1%
1722 1
 
< 0.1%
1723 1
 
< 0.1%
1724 1
 
< 0.1%
1725 1
 
< 0.1%
Other values (2571) 2571
99.6%
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 (%)
2581 1
< 0.1%
2580 1
< 0.1%
2579 1
< 0.1%
2578 1
< 0.1%
2577 1
< 0.1%
2576 1
< 0.1%
2575 1
< 0.1%
2574 1
< 0.1%
2573 1
< 0.1%
2572 1
< 0.1%

사업유형
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
(발굴형)지리적문화소외지역순회사업_농산어촌마을순회
431 
(매칭형)아동시설순회
340 
(매칭형)일반시설순회
334 
(매칭형)노인시설순회
276 
(매칭형)청소년시설순회
192 
Other values (8)
1008 

Length

Max length27
Median length25
Mean length16.346765
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row(발굴형)문학순회사업
2nd row(발굴형)지역협력특화사업_사회적네트워크형
3rd row(매칭형)특수계층시설순회
4th row(매칭형)아동시설순회
5th row(발굴형)문학순회사업

Common Values

ValueCountFrequency (%)
(발굴형)지리적문화소외지역순회사업_농산어촌마을순회 431
16.7%
(매칭형)아동시설순회 340
13.2%
(매칭형)일반시설순회 334
12.9%
(매칭형)노인시설순회 276
10.7%
(매칭형)청소년시설순회 192
7.4%
(발굴형)지역협력특화사업_공공주도형 189
7.3%
(발굴형)지리적문화소외지역순회사업_도서지역순회 176
6.8%
(매칭형)특수계층시설순회 159
 
6.2%
(발굴형)지역협력특화사업_민간주도형 150
 
5.8%
(매칭형)장애인시설순회 138
 
5.3%
Other values (3) 196
7.6%

Length

2023-12-12T09:15:12.529835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
발굴형)지리적문화소외지역순회사업_농산어촌마을순회 431
16.7%
매칭형)아동시설순회 340
13.2%
매칭형)일반시설순회 334
12.9%
매칭형)노인시설순회 276
10.7%
매칭형)청소년시설순회 192
7.4%
발굴형)지역협력특화사업_공공주도형 189
7.3%
발굴형)지리적문화소외지역순회사업_도서지역순회 176
6.8%
매칭형)특수계층시설순회 159
 
6.2%
발굴형)지역협력특화사업_민간주도형 150
 
5.8%
매칭형)장애인시설순회 138
 
5.3%
Other values (3) 196
7.6%

장르
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
예술일반
1255 
전통예술
379 
연극
325 
음악
256 
다원예술
 
119
Other values (3)
247 

Length

Max length4
Median length4
Mean length3.3955831
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row문학
2nd row예술일반
3rd row다원예술
4th row연극
5th row문학

Common Values

ValueCountFrequency (%)
예술일반 1255
48.6%
전통예술 379
 
14.7%
연극 325
 
12.6%
음악 256
 
9.9%
다원예술 119
 
4.6%
문학 101
 
3.9%
무용 98
 
3.8%
시각예술 48
 
1.9%

Length

2023-12-12T09:15:12.662745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:15:12.793493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예술일반 1255
48.6%
전통예술 379
 
14.7%
연극 325
 
12.6%
음악 256
 
9.9%
다원예술 119
 
4.6%
문학 101
 
3.9%
무용 98
 
3.8%
시각예술 48
 
1.9%

예술단체
Text

Distinct304
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
2023-12-12T09:15:13.014168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length7.7880666
Min length1

Characters and Unicode

Total characters20101
Distinct characters416
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.3%

Sample

1st row검은 책방 / 흰 책방
2nd row작은극장 다함 협동조합
3rd row카이다스
4th row극단모시는사람들
5th row창원시김달진문학관
ValueCountFrequency (%)
극단 143
 
4.0%
사단법인 101
 
2.9%
원주문화재단 60
 
1.7%
백수광부 60
 
1.7%
한국문화예술협동조합 58
 
1.6%
두레 56
 
1.6%
화원문화학당 54
 
1.5%
우리문화전문연희단체꾼 44
 
1.2%
자작나무숲 43
 
1.2%
전통예술원 43
 
1.2%
Other values (389) 2877
81.3%
2023-12-12T09:15:13.408731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
979
 
4.9%
단 976
 
4.9%
문 614
 
3.1%
화 551
 
2.7%
사 433
 
2.2%
극 417
 
2.1%
재 372
 
1.9%
) 361
 
1.8%
( 352
 
1.8%
예 335
 
1.7%
Other values (406) 14711
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17865
88.9%
Space Separator 979
 
4.9%
Close Punctuation 361
 
1.8%
Open Punctuation 352
 
1.8%
Lowercase Letter 254
 
1.3%
Uppercase Letter 188
 
0.9%
Other Punctuation 53
 
0.3%
Other Symbol 23
 
0.1%
Decimal Number 16
 
0.1%
Dash Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
단 976
 
5.5%
문 614
 
3.4%
화 551
 
3.1%
사 433
 
2.4%
극 417
 
2.3%
재 372
 
2.1%
예 335
 
1.9%
리 333
 
1.9%
술 306
 
1.7%
인 266
 
1.5%
Other values (361) 13262
74.2%
Uppercase Letter
ValueCountFrequency (%)
T 30
16.0%
S 21
11.2%
A 20
10.6%
I 19
10.1%
C 15
8.0%
E 14
7.4%
D 14
7.4%
G 12
 
6.4%
U 10
 
5.3%
N 7
 
3.7%
Other values (7) 26
13.8%
Lowercase Letter
ValueCountFrequency (%)
n 35
13.8%
o 35
13.8%
d 29
11.4%
a 23
9.1%
m 22
8.7%
e 20
7.9%
t 20
7.9%
r 16
6.3%
i 12
 
4.7%
g 10
 
3.9%
Other values (6) 32
12.6%
Other Punctuation
ValueCountFrequency (%)
, 19
35.8%
. 13
24.5%
' 8
15.1%
/ 7
 
13.2%
& 6
 
11.3%
Decimal Number
ValueCountFrequency (%)
1 12
75.0%
2 4
 
25.0%
Space Separator
ValueCountFrequency (%)
979
100.0%
Close Punctuation
ValueCountFrequency (%)
) 361
100.0%
Open Punctuation
ValueCountFrequency (%)
( 352
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17869
88.9%
Common 1771
 
8.8%
Latin 442
 
2.2%
Han 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
단 976
 
5.5%
문 614
 
3.4%
화 551
 
3.1%
사 433
 
2.4%
극 417
 
2.3%
재 372
 
2.1%
예 335
 
1.9%
리 333
 
1.9%
술 306
 
1.7%
인 266
 
1.5%
Other values (359) 13266
74.2%
Latin
ValueCountFrequency (%)
n 35
 
7.9%
o 35
 
7.9%
T 30
 
6.8%
d 29
 
6.6%
a 23
 
5.2%
m 22
 
5.0%
S 21
 
4.8%
A 20
 
4.5%
e 20
 
4.5%
t 20
 
4.5%
Other values (23) 187
42.3%
Common
ValueCountFrequency (%)
979
55.3%
) 361
 
20.4%
( 352
 
19.9%
, 19
 
1.1%
. 13
 
0.7%
1 12
 
0.7%
- 10
 
0.6%
' 8
 
0.5%
/ 7
 
0.4%
& 6
 
0.3%
Han
ValueCountFrequency (%)
施 7
36.8%
波 7
36.8%
家 5
26.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17846
88.8%
ASCII 2213
 
11.0%
None 23
 
0.1%
CJK 19
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
979
44.2%
) 361
 
16.3%
( 352
 
15.9%
n 35
 
1.6%
o 35
 
1.6%
T 30
 
1.4%
d 29
 
1.3%
a 23
 
1.0%
m 22
 
1.0%
S 21
 
0.9%
Other values (34) 326
 
14.7%
Hangul
ValueCountFrequency (%)
단 976
 
5.5%
문 614
 
3.4%
화 551
 
3.1%
사 433
 
2.4%
극 417
 
2.3%
재 372
 
2.1%
예 335
 
1.9%
리 333
 
1.9%
술 306
 
1.7%
인 266
 
1.5%
Other values (358) 13243
74.2%
None
ValueCountFrequency (%)
㈜ 23
100.0%
CJK
ValueCountFrequency (%)
施 7
36.8%
波 7
36.8%
家 5
26.3%

프로그램명
Text

Distinct616
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
2023-12-12T09:15:13.719952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length38
Mean length17.005037
Min length3

Characters and Unicode

Total characters43890
Distinct characters710
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique234 ?
Unique (%)9.1%

Sample

1st row2019 찾아가는 책방 낭독회
2nd row우리동네 예술아지트_가오festa 달달한 공연
3rd row나를 찾는 '힐링 멜로디'
4th row어린이환경연극 <쓰레기꽃>
5th row찾아가고 찾아오는 시낭송시노래 음악콘서트
ValueCountFrequency (%)
170
 
2.1%
찾아가는 154
 
1.9%
공연 73
 
0.9%
함께하는 63
 
0.8%
프로그램 61
 
0.7%
클래식 51
 
0.6%
체험프로그램 48
 
0.6%
예술가 48
 
0.6%
음악회 47
 
0.6%
인형극 46
 
0.6%
Other values (1234) 7453
90.7%
2023-12-12T09:15:14.187215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7037
 
16.0%
는 840
 
1.9%
. 681
 
1.6%
이 654
 
1.5%
가 576
 
1.3%
리 559
 
1.3%
아 511
 
1.2%
의 502
 
1.1%
트 484
 
1.1%
로 452
 
1.0%
Other values (700) 31594
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29998
68.3%
Space Separator 7066
 
16.1%
Other Punctuation 1961
 
4.5%
Decimal Number 1171
 
2.7%
Lowercase Letter 1164
 
2.7%
Math Symbol 672
 
1.5%
Uppercase Letter 655
 
1.5%
Close Punctuation 378
 
0.9%
Open Punctuation 378
 
0.9%
Initial Punctuation 130
 
0.3%
Other values (5) 317
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
는 840
 
2.8%
이 654
 
2.2%
가 576
 
1.9%
리 559
 
1.9%
아 511
 
1.7%
의 502
 
1.7%
트 484
 
1.6%
로 452
 
1.5%
연 386
 
1.3%
기 384
 
1.3%
Other values (613) 24650
82.2%
Lowercase Letter
ValueCountFrequency (%)
a 147
12.6%
e 121
 
10.4%
o 97
 
8.3%
i 90
 
7.7%
t 78
 
6.7%
n 71
 
6.1%
r 69
 
5.9%
h 60
 
5.2%
c 57
 
4.9%
s 49
 
4.2%
Other values (13) 325
27.9%
Uppercase Letter
ValueCountFrequency (%)
A 83
12.7%
T 63
 
9.6%
G 54
 
8.2%
S 51
 
7.8%
R 50
 
7.6%
E 40
 
6.1%
O 36
 
5.5%
I 30
 
4.6%
N 28
 
4.3%
C 28
 
4.3%
Other values (13) 192
29.3%
Other Punctuation
ValueCountFrequency (%)
. 681
34.7%
' 339
17.3%
" 291
14.8%
! 237
 
12.1%
, 175
 
8.9%
: 86
 
4.4%
& 55
 
2.8%
/ 47
 
2.4%
? 41
 
2.1%
# 6
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 333
28.4%
2 288
24.6%
3 170
14.5%
0 115
 
9.8%
4 102
 
8.7%
9 59
 
5.0%
5 32
 
2.7%
8 29
 
2.5%
6 25
 
2.1%
7 18
 
1.5%
Math Symbol
ValueCountFrequency (%)
< 305
45.4%
> 305
45.4%
~ 43
 
6.4%
+ 19
 
2.8%
Close Punctuation
ValueCountFrequency (%)
) 348
92.1%
] 24
 
6.3%
〉 6
 
1.6%
Open Punctuation
ValueCountFrequency (%)
( 348
92.1%
[ 24
 
6.3%
〈 6
 
1.6%
Space Separator
ValueCountFrequency (%)
7037
99.6%
　 29
 
0.4%
Initial Punctuation
ValueCountFrequency (%)
‘ 74
56.9%
“ 56
43.1%
Final Punctuation
ValueCountFrequency (%)
’ 70
55.6%
” 56
44.4%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 67
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29680
67.6%
Common 12069
27.5%
Latin 1823
 
4.2%
Han 318
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
는 840
 
2.8%
이 654
 
2.2%
가 576
 
1.9%
리 559
 
1.9%
아 511
 
1.7%
의 502
 
1.7%
트 484
 
1.6%
로 452
 
1.5%
연 386
 
1.3%
기 384
 
1.3%
Other values (573) 24332
82.0%
Latin
ValueCountFrequency (%)
a 147
 
8.1%
e 121
 
6.6%
o 97
 
5.3%
i 90
 
4.9%
A 83
 
4.6%
t 78
 
4.3%
n 71
 
3.9%
r 69
 
3.8%
T 63
 
3.5%
h 60
 
3.3%
Other values (37) 944
51.8%
Common
ValueCountFrequency (%)
7037
58.3%
. 681
 
5.6%
) 348
 
2.9%
( 348
 
2.9%
' 339
 
2.8%
1 333
 
2.8%
< 305
 
2.5%
> 305
 
2.5%
" 291
 
2.4%
2 288
 
2.4%
Other values (30) 1794
 
14.9%
Han
ValueCountFrequency (%)
風 23
 
7.2%
圖 20
 
6.3%
島 20
 
6.3%
新 14
 
4.4%
樂 13
 
4.1%
樂 12
 
3.8%
雷 11
 
3.5%
雲 11
 
3.5%
雨 11
 
3.5%
愛 10
 
3.1%
Other values (30) 173
54.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29680
67.6%
ASCII 13591
31.0%
CJK 305
 
0.7%
Punctuation 256
 
0.6%
None 41
 
0.1%
CJK Compat Ideographs 13
 
< 0.1%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7037
51.8%
. 681
 
5.0%
) 348
 
2.6%
( 348
 
2.6%
' 339
 
2.5%
1 333
 
2.5%
< 305
 
2.2%
> 305
 
2.2%
" 291
 
2.1%
2 288
 
2.1%
Other values (69) 3316
24.4%
Hangul
ValueCountFrequency (%)
는 840
 
2.8%
이 654
 
2.2%
가 576
 
1.9%
리 559
 
1.9%
아 511
 
1.7%
의 502
 
1.7%
트 484
 
1.6%
로 452
 
1.5%
연 386
 
1.3%
기 384
 
1.3%
Other values (573) 24332
82.0%
Punctuation
ValueCountFrequency (%)
‘ 74
28.9%
’ 70
27.3%
” 56
21.9%
“ 56
21.9%
None
ValueCountFrequency (%)
　 29
70.7%
〈 6
 
14.6%
〉 6
 
14.6%
CJK
ValueCountFrequency (%)
風 23
 
7.5%
圖 20
 
6.6%
島 20
 
6.6%
新 14
 
4.6%
樂 12
 
3.9%
雷 11
 
3.6%
雲 11
 
3.6%
雨 11
 
3.6%
愛 10
 
3.3%
香 8
 
2.6%
Other values (29) 165
54.1%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 13
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
100.0%

순회대상처
Text

Distinct1889
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
2023-12-12T09:15:14.437018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27
Mean length9.5470748
Min length2

Characters and Unicode

Total characters24641
Distinct characters523
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1631 ?
Unique (%)63.2%

Sample

1st row검은책방/흰책방
2nd row대전 동구
3rd row3697부대 기동대대
4th row광명남초등학교
5th row창원남산중학교
ValueCountFrequency (%)
주택관리공단 94
 
2.3%
강진군 54
 
1.3%
대전 54
 
1.3%
아파트 49
 
1.2%
lh 47
 
1.1%
통영시 41
 
1.0%
경상남도 40
 
1.0%
단지 36
 
0.9%
둔산동 34
 
0.8%
나루아트센터 32
 
0.8%
Other values (2236) 3675
88.4%
2023-12-12T09:15:14.809516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1688
 
6.9%
교 641
 
2.6%
지 636
 
2.6%
학 594
 
2.4%
대 499
 
2.0%
관 490
 
2.0%
아 418
 
1.7%
원 414
 
1.7%
동 388
 
1.6%
도 388
 
1.6%
Other values (513) 18485
75.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21334
86.6%
Space Separator 1688
 
6.9%
Decimal Number 941
 
3.8%
Uppercase Letter 269
 
1.1%
Close Punctuation 157
 
0.6%
Open Punctuation 157
 
0.6%
Other Punctuation 51
 
0.2%
Dash Punctuation 30
 
0.1%
Lowercase Letter 8
 
< 0.1%
Connector Punctuation 3
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 641
 
3.0%
지 636
 
3.0%
학 594
 
2.8%
대 499
 
2.3%
관 490
 
2.3%
아 418
 
2.0%
원 414
 
1.9%
동 388
 
1.8%
도 388
 
1.8%
초 380
 
1.8%
Other values (472) 16486
77.3%
Uppercase Letter
ValueCountFrequency (%)
H 126
46.8%
L 122
45.4%
S 4
 
1.5%
N 3
 
1.1%
A 3
 
1.1%
F 2
 
0.7%
T 2
 
0.7%
P 1
 
0.4%
M 1
 
0.4%
V 1
 
0.4%
Other values (4) 4
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 190
20.2%
2 175
18.6%
3 126
13.4%
5 86
9.1%
6 78
8.3%
8 73
 
7.8%
7 71
 
7.5%
0 58
 
6.2%
9 46
 
4.9%
4 38
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 23
45.1%
/ 12
23.5%
: 7
 
13.7%
. 5
 
9.8%
' 2
 
3.9%
" 2
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
h 4
50.0%
l 3
37.5%
s 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1688
100.0%
Close Punctuation
ValueCountFrequency (%)
) 157
100.0%
Open Punctuation
ValueCountFrequency (%)
( 157
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21335
86.6%
Common 3028
 
12.3%
Latin 278
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 641
 
3.0%
지 636
 
3.0%
학 594
 
2.8%
대 499
 
2.3%
관 490
 
2.3%
아 418
 
2.0%
원 414
 
1.9%
동 388
 
1.8%
도 388
 
1.8%
초 380
 
1.8%
Other values (473) 16487
77.3%
Common
ValueCountFrequency (%)
1688
55.7%
1 190
 
6.3%
2 175
 
5.8%
) 157
 
5.2%
( 157
 
5.2%
3 126
 
4.2%
5 86
 
2.8%
6 78
 
2.6%
8 73
 
2.4%
7 71
 
2.3%
Other values (12) 227
 
7.5%
Latin
ValueCountFrequency (%)
H 126
45.3%
L 122
43.9%
h 4
 
1.4%
S 4
 
1.4%
l 3
 
1.1%
N 3
 
1.1%
A 3
 
1.1%
F 2
 
0.7%
T 2
 
0.7%
s 1
 
0.4%
Other values (8) 8
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21334
86.6%
ASCII 3305
 
13.4%
None 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1688
51.1%
1 190
 
5.7%
2 175
 
5.3%
) 157
 
4.8%
( 157
 
4.8%
3 126
 
3.8%
H 126
 
3.8%
L 122
 
3.7%
5 86
 
2.6%
6 78
 
2.4%
Other values (29) 400
 
12.1%
Hangul
ValueCountFrequency (%)
교 641
 
3.0%
지 636
 
3.0%
학 594
 
2.8%
대 499
 
2.3%
관 490
 
2.3%
아 418
 
2.0%
원 414
 
1.9%
동 388
 
1.8%
도 388
 
1.8%
초 380
 
1.8%
Other values (472) 16486
77.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

공연일
Date

Distinct123
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
Minimum2019-03-22 00:00:00
Maximum2019-07-31 00:00:00
2023-12-12T09:15:14.938549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:15:15.110638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공연시간
Date

Distinct60
Distinct (%)2.3%
Missing23
Missing (%)0.9%
Memory size20.3 KiB
Minimum2023-12-12 08:00:00
Maximum2023-12-12 20:30:00
2023-12-12T09:15:15.269773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:15:15.411929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

지역
Categorical

Distinct19
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
경기
431 
경남
260 
강원
254 
전남
247 
충남
204 
Other values (14)
1185 

Length

Max length4
Median length2
Mean length2.0309957
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row광주
2nd row대전
3rd row경기
4th row경기
5th row경남

Common Values

ValueCountFrequency (%)
경기 431
16.7%
경남 260
10.1%
강원 254
9.8%
전남 247
9.6%
충남 204
7.9%
서울 195
7.6%
충북 153
 
5.9%
전북 153
 
5.9%
인천 121
 
4.7%
대전 114
 
4.4%
Other values (9) 449
17.4%

Length

2023-12-12T09:15:15.540043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 431
16.7%
경남 260
10.1%
강원 254
9.8%
전남 247
9.6%
충남 206
8.0%
서울 195
7.6%
충북 153
 
5.9%
전북 153
 
5.9%
인천 121
 
4.7%
대전 114
 
4.4%
Other values (8) 447
17.3%

주소
Text

Distinct1810
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
2023-12-12T09:15:15.879515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length48
Mean length23.319256
Min length3

Characters and Unicode

Total characters60187
Distinct characters468
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1530 ?
Unique (%)59.3%

Sample

1st row광주광역시 동구 서석동 백서로 179 2층
2nd row대전광역시 동구 가오동 대전로 448번길 70, 지하 101호
3rd row경기도 고양시 덕양구 지축동
4th row경기도 광명시 광명동 광명로 광명남초등학교
5th row경상남도 창원시 성산구 가음동 가음정로 157
ValueCountFrequency (%)
경기도 435
 
3.3%
경상남도 293
 
2.2%
강원도 255
 
1.9%
전라남도 248
 
1.9%
서울특별시 196
 
1.5%
충청남도 180
 
1.4%
전라북도 153
 
1.1%
충청북도 153
 
1.1%
인천광역시 121
 
0.9%
경상북도 107
 
0.8%
Other values (4188) 11188
83.9%
2023-12-12T09:15:16.419575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11620
 
19.3%
도 2125
 
3.5%
시 2020
 
3.4%
동 1816
 
3.0%
1 1767
 
2.9%
2 1174
 
2.0%
구 1100
 
1.8%
남 1075
 
1.8%
로 1050
 
1.7%
3 1014
 
1.7%
Other values (458) 35426
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38853
64.6%
Space Separator 11620
 
19.3%
Decimal Number 8497
 
14.1%
Dash Punctuation 853
 
1.4%
Close Punctuation 114
 
0.2%
Open Punctuation 114
 
0.2%
Other Punctuation 108
 
0.2%
Uppercase Letter 23
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 2125
 
5.5%
시 2020
 
5.2%
동 1816
 
4.7%
구 1100
 
2.8%
남 1075
 
2.8%
로 1050
 
2.7%
면 946
 
2.4%
경 923
 
2.4%
군 811
 
2.1%
산 785
 
2.0%
Other values (426) 26202
67.4%
Decimal Number
ValueCountFrequency (%)
1 1767
20.8%
2 1174
13.8%
3 1014
11.9%
5 766
9.0%
4 765
9.0%
0 631
 
7.4%
7 625
 
7.4%
6 620
 
7.3%
9 568
 
6.7%
8 567
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
H 8
34.8%
L 8
34.8%
B 1
 
4.3%
A 1
 
4.3%
Z 1
 
4.3%
U 1
 
4.3%
M 1
 
4.3%
T 1
 
4.3%
V 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 53
49.1%
/ 41
38.0%
. 7
 
6.5%
* 4
 
3.7%
: 3
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
s 2
50.0%
c 1
25.0%
y 1
25.0%
Space Separator
ValueCountFrequency (%)
11620
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 853
100.0%
Close Punctuation
ValueCountFrequency (%)
) 114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 114
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38854
64.6%
Common 21306
35.4%
Latin 27
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 2125
 
5.5%
시 2020
 
5.2%
동 1816
 
4.7%
구 1100
 
2.8%
남 1075
 
2.8%
로 1050
 
2.7%
면 946
 
2.4%
경 923
 
2.4%
군 811
 
2.1%
산 785
 
2.0%
Other values (427) 26203
67.4%
Common
ValueCountFrequency (%)
11620
54.5%
1 1767
 
8.3%
2 1174
 
5.5%
3 1014
 
4.8%
- 853
 
4.0%
5 766
 
3.6%
4 765
 
3.6%
0 631
 
3.0%
7 625
 
2.9%
6 620
 
2.9%
Other values (9) 1471
 
6.9%
Latin
ValueCountFrequency (%)
H 8
29.6%
L 8
29.6%
s 2
 
7.4%
B 1
 
3.7%
A 1
 
3.7%
c 1
 
3.7%
y 1
 
3.7%
Z 1
 
3.7%
U 1
 
3.7%
M 1
 
3.7%
Other values (2) 2
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38852
64.6%
ASCII 21333
35.4%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11620
54.5%
1 1767
 
8.3%
2 1174
 
5.5%
3 1014
 
4.8%
- 853
 
4.0%
5 766
 
3.6%
4 765
 
3.6%
0 631
 
3.0%
7 625
 
2.9%
6 620
 
2.9%
Other values (21) 1498
 
7.0%
Hangul
ValueCountFrequency (%)
도 2125
 
5.5%
시 2020
 
5.2%
동 1816
 
4.7%
구 1100
 
2.8%
남 1075
 
2.8%
로 1050
 
2.7%
면 946
 
2.4%
경 923
 
2.4%
군 811
 
2.1%
산 785
 
2.0%
Other values (425) 26201
67.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%

Interactions

2023-12-12T09:15:11.830871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:15:16.531993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업유형장르공연시간지역
순번1.0000.3960.2000.3470.224
사업유형0.3961.0000.7820.7140.663
장르0.2000.7821.0000.4350.340
공연시간0.3470.7140.4351.0000.610
지역0.2240.6630.3400.6101.000
2023-12-12T09:15:16.628505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역사업유형장르
지역1.0000.2970.150
사업유형0.2971.0000.504
장르0.1500.5041.000
2023-12-12T09:15:16.726439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업유형장르지역
순번1.0000.1760.0960.087
사업유형0.1761.0000.5040.297
장르0.0960.5041.0000.150
지역0.0870.2970.1501.000

Missing values

2023-12-12T09:15:11.933614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:15:12.112988image/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

순번사업유형장르예술단체프로그램명순회대상처공연일공연시간지역주소
01(발굴형)문학순회사업문학검은 책방 / 흰 책방2019 찾아가는 책방 낭독회검은책방/흰책방2019-03-2219:00광주광주광역시 동구 서석동 백서로 179 2층
12(발굴형)지역협력특화사업_사회적네트워크형예술일반작은극장 다함 협동조합우리동네 예술아지트_가오festa 달달한 공연대전 동구2019-03-2219:30대전대전광역시 동구 가오동 대전로 448번길 70, 지하 101호
23(매칭형)특수계층시설순회다원예술카이다스나를 찾는 '힐링 멜로디'3697부대 기동대대2019-03-2715:00경기경기도 고양시 덕양구 지축동
34(매칭형)아동시설순회연극극단모시는사람들어린이환경연극 <쓰레기꽃>광명남초등학교2019-03-2811:00경기경기도 광명시 광명동 광명로 광명남초등학교
45(발굴형)문학순회사업문학창원시김달진문학관찾아가고 찾아오는 시낭송시노래 음악콘서트창원남산중학교2019-03-2815:00경남경상남도 창원시 성산구 가음동 가음정로 157
56(매칭형)일반시설순회음악림스타악기앙상블재활용품과타악기의만남동삼희망마을2019-03-3016:00부산부산광역시 영도구 동삼1동 중리로 46-12
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