Overview

Dataset statistics

Number of variables27
Number of observations9331
Missing cells49603
Missing cells (%)19.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 MiB
Average record size in memory219.0 B

Variable types

Text18
DateTime4
Categorical2
Numeric3

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author지방자치단체
URLhttps://www.data.go.kr/data/15013106/standard.do

Alerts

요금정보 is highly imbalanced (61.8%)Imbalance
행사종료시각 has 1186 (12.7%) missing valuesMissing
전화번호 has 1645 (17.6%) missing valuesMissing
후원기관명 has 7814 (83.7%) missing valuesMissing
객석수 has 3778 (40.5%) missing valuesMissing
관람요금 has 5263 (56.4%) missing valuesMissing
입장연령 has 2103 (22.5%) missing valuesMissing
할인정보 has 8105 (86.9%) missing valuesMissing
유의사항 has 7813 (83.7%) missing valuesMissing
홈페이지주소 has 2085 (22.3%) missing valuesMissing
예매정보 has 5289 (56.7%) missing valuesMissing
소재지도로명주소 has 146 (1.6%) missing valuesMissing
소재지지번주소 has 1674 (17.9%) missing valuesMissing
위도 has 1351 (14.5%) missing valuesMissing
경도 has 1351 (14.5%) missing valuesMissing

Reproduction

Analysis started2024-05-04 07:36:10.465301
Analysis finished2024-05-04 07:36:20.140369
Duration9.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행사명
Text

Distinct7643
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Memory size73.0 KiB
2024-05-04T07:36:20.783333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length58
Mean length17.895295
Min length1

Characters and Unicode

Total characters166981
Distinct characters1297
Distinct categories17 ?
Distinct scripts5 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6543 ?
Unique (%)70.1%

Sample

1st row초록미술 전시회
2nd row하유전
3rd row이정희 개인전
4th row손유하 개인전
5th row진은정 작가 외 그룹전시회
ValueCountFrequency (%)
정기연주회 557
 
1.6%
552
 
1.6%
콘서트 528
 
1.5%
공연 367
 
1.1%
2023 340
 
1.0%
뮤지컬 308
 
0.9%
있는 245
 
0.7%
날 229
 
0.7%
문화가 228
 
0.7%
함께하는 180
 
0.5%
Other values (12445) 30622
89.7%
2024-05-04T07:36:22.463951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25057
 
15.0%
2 3160
 
1.9%
회 3109
 
1.9%
연 2658
 
1.6%
트 2070
 
1.2%
기 2036
 
1.2%
제 1895
 
1.1%
이 1855
 
1.1%
스 1811
 
1.1%
주 1804
 
1.1%
Other values (1287) 121526
72.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114546
68.6%
Space Separator 25057
 
15.0%
Decimal Number 9264
 
5.5%
Lowercase Letter 5148
 
3.1%
Uppercase Letter 4282
 
2.6%
Math Symbol 2727
 
1.6%
Close Punctuation 1635
 
1.0%
Open Punctuation 1622
 
1.0%
Other Punctuation 1364
 
0.8%
Dash Punctuation 655
 
0.4%
Other values (7) 681
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 3109
 
2.7%
연 2658
 
2.3%
트 2070
 
1.8%
기 2036
 
1.8%
제 1895
 
1.7%
이 1855
 
1.6%
스 1811
 
1.6%
주 1804
 
1.6%
시 1626
 
1.4%
서 1596
 
1.4%
Other values (1160) 94086
82.1%
Lowercase Letter
ValueCountFrequency (%)
e 577
11.2%
i 500
 
9.7%
n 470
 
9.1%
a 426
 
8.3%
o 414
 
8.0%
t 365
 
7.1%
s 343
 
6.7%
r 338
 
6.6%
l 237
 
4.6%
h 223
 
4.3%
Other values (21) 1255
24.4%
Uppercase Letter
ValueCountFrequency (%)
C 586
13.7%
A 490
 
11.4%
S 300
 
7.0%
T 282
 
6.6%
E 282
 
6.6%
I 237
 
5.5%
N 229
 
5.3%
O 204
 
4.8%
R 184
 
4.3%
M 156
 
3.6%
Other values (16) 1332
31.1%
Other Punctuation
ValueCountFrequency (%)
, 362
26.5%
' 324
23.8%
& 174
12.8%
: 165
12.1%
. 155
11.4%
? 92
 
6.7%
· 31
 
2.3%
＂ 17
 
1.2%
/ 15
 
1.1%
; 12
 
0.9%
Other values (5) 17
 
1.2%
Decimal Number
ValueCountFrequency (%)
2 3160
34.1%
0 1785
19.3%
1 1527
16.5%
3 939
 
10.1%
4 427
 
4.6%
8 329
 
3.6%
9 298
 
3.2%
5 275
 
3.0%
7 268
 
2.9%
6 256
 
2.8%
Letter Number
ValueCountFrequency (%)
Ⅱ 43
39.4%
Ⅰ 24
22.0%
Ⅲ 17
 
15.6%
Ⅳ 9
 
8.3%
Ⅴ 7
 
6.4%
Ⅷ 3
 
2.8%
Ⅵ 3
 
2.8%
Ⅶ 2
 
1.8%
Ⅸ 1
 
0.9%
Math Symbol
ValueCountFrequency (%)
> 1300
47.7%
< 1299
47.6%
+ 68
 
2.5%
＜ 20
 
0.7%
＞ 20
 
0.7%
~ 13
 
0.5%
× 7
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 933
57.1%
』 262
 
16.0%
] 238
 
14.6%
」 190
 
11.6%
〉 7
 
0.4%
》 4
 
0.2%
】 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 919
56.7%
『 262
 
16.2%
[ 238
 
14.7%
「 190
 
11.7%
〈 8
 
0.5%
《 4
 
0.2%
【 1
 
0.1%
Other Number
ValueCountFrequency (%)
① 8
40.0%
② 7
35.0%
③ 3
 
15.0%
④ 2
 
10.0%
Final Punctuation
ValueCountFrequency (%)
’ 220
90.5%
” 23
 
9.5%
Initial Punctuation
ValueCountFrequency (%)
‘ 52
66.7%
“ 26
33.3%
Modifier Symbol
ValueCountFrequency (%)
˝ 4
80.0%
` 1
 
20.0%
Other Symbol
ValueCountFrequency (%)
° 1
50.0%
│ 1
50.0%
Space Separator
ValueCountFrequency (%)
25057
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 655
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 224
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114215
68.4%
Common 42896
 
25.7%
Latin 9533
 
5.7%
Han 331
 
0.2%
Cyrillic 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 3109
 
2.7%
연 2658
 
2.3%
트 2070
 
1.8%
기 2036
 
1.8%
제 1895
 
1.7%
이 1855
 
1.6%
스 1811
 
1.6%
주 1804
 
1.6%
시 1626
 
1.4%
서 1596
 
1.4%
Other values (1018) 93755
82.1%
Han
ValueCountFrequency (%)
展 40
 
12.1%
多 23
 
6.9%
夜 15
 
4.5%
人 12
 
3.6%
愛 12
 
3.6%
歌 9
 
2.7%
詩 7
 
2.1%
取 7
 
2.1%
路 6
 
1.8%
色 6
 
1.8%
Other values (132) 194
58.6%
Common
ValueCountFrequency (%)
25057
58.4%
2 3160
 
7.4%
0 1785
 
4.2%
1 1527
 
3.6%
> 1300
 
3.0%
< 1299
 
3.0%
3 939
 
2.2%
) 933
 
2.2%
( 919
 
2.1%
- 655
 
1.5%
Other values (51) 5322
 
12.4%
Latin
ValueCountFrequency (%)
C 586
 
6.1%
e 577
 
6.1%
i 500
 
5.2%
A 490
 
5.1%
n 470
 
4.9%
a 426
 
4.5%
o 414
 
4.3%
t 365
 
3.8%
s 343
 
3.6%
r 338
 
3.5%
Other values (51) 5024
52.7%
Cyrillic
ValueCountFrequency (%)
е 2
33.3%
ц 1
16.7%
р 1
16.7%
о 1
16.7%
к 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114214
68.4%
ASCII 50934
30.5%
None 1031
 
0.6%
Punctuation 330
 
0.2%
CJK 321
 
0.2%
Number Forms 109
 
0.1%
Enclosed Alphanum 20
 
< 0.1%
CJK Compat Ideographs 10
 
< 0.1%
Cyrillic 6
 
< 0.1%
Modifier Letters 4
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25057
49.2%
2 3160
 
6.2%
0 1785
 
3.5%
1 1527
 
3.0%
> 1300
 
2.6%
< 1299
 
2.6%
3 939
 
1.8%
) 933
 
1.8%
( 919
 
1.8%
- 655
 
1.3%
Other values (73) 13360
26.2%
Hangul
ValueCountFrequency (%)
회 3109
 
2.7%
연 2658
 
2.3%
트 2070
 
1.8%
기 2036
 
1.8%
제 1895
 
1.7%
이 1855
 
1.6%
스 1811
 
1.6%
주 1804
 
1.6%
시 1626
 
1.4%
서 1596
 
1.4%
Other values (1017) 93754
82.1%
None
ValueCountFrequency (%)
『 262
25.4%
』 262
25.4%
「 190
18.4%
」 190
18.4%
· 31
 
3.0%
＜ 20
 
1.9%
＞ 20
 
1.9%
＂ 17
 
1.6%
〈 8
 
0.8%
〉 7
 
0.7%
Other values (8) 24
 
2.3%
Punctuation
ValueCountFrequency (%)
’ 220
66.7%
‘ 52
 
15.8%
“ 26
 
7.9%
” 23
 
7.0%
′ 8
 
2.4%
… 1
 
0.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 43
39.4%
Ⅰ 24
22.0%
Ⅲ 17
 
15.6%
Ⅳ 9
 
8.3%
Ⅴ 7
 
6.4%
Ⅷ 3
 
2.8%
Ⅵ 3
 
2.8%
Ⅶ 2
 
1.8%
Ⅸ 1
 
0.9%
CJK
ValueCountFrequency (%)
展 40
 
12.5%
多 23
 
7.2%
夜 15
 
4.7%
人 12
 
3.7%
愛 12
 
3.7%
歌 9
 
2.8%
詩 7
 
2.2%
取 7
 
2.2%
路 6
 
1.9%
色 6
 
1.9%
Other values (125) 184
57.3%
Enclosed Alphanum
ValueCountFrequency (%)
① 8
40.0%
② 7
35.0%
③ 3
 
15.0%
④ 2
 
10.0%
Modifier Letters
ValueCountFrequency (%)
˝ 4
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 3
30.0%
不 2
20.0%
辰 1
 
10.0%
魯 1
 
10.0%
禮 1
 
10.0%
茶 1
 
10.0%
流 1
 
10.0%
Cyrillic
ValueCountFrequency (%)
е 2
33.3%
ц 1
16.7%
р 1
16.7%
о 1
16.7%
к 1
16.7%
Box Drawing
ValueCountFrequency (%)
│ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

장소
Text

Distinct1092
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size73.0 KiB
2024-05-04T07:36:23.292663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length9.0539063
Min length2

Characters and Unicode

Total characters84482
Distinct characters491
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

Unique576 ?
Unique (%)6.2%

Sample

1st row제2전시실
2nd row제2전시실
3rd row제2전시실
4th row제2전시실
5th row제2전시실
ValueCountFrequency (%)
대공연장 1495
 
10.1%
소공연장 473
 
3.2%
삼척문화예술회관 372
 
2.5%
군산예술의전당 346
 
2.3%
공연장 323
 
2.2%
대극장 305
 
2.1%
춘천문화예술회관 244
 
1.7%
창녕문화예술회관 211
 
1.4%
제주문예회관 195
 
1.3%
소극장 190
 
1.3%
Other values (1269) 10599
71.8%
2024-05-04T07:36:24.479756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5422
 
6.4%
장 4440
 
5.3%
문 3456
 
4.1%
화 3229
 
3.8%
예 3139
 
3.7%
관 3131
 
3.7%
술 2906
 
3.4%
공 2775
 
3.3%
연 2667
 
3.2%
대 2544
 
3.0%
Other values (481) 50773
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76214
90.2%
Space Separator 5422
 
6.4%
Decimal Number 1406
 
1.7%
Uppercase Letter 552
 
0.7%
Close Punctuation 346
 
0.4%
Open Punctuation 345
 
0.4%
Other Punctuation 134
 
0.2%
Math Symbol 49
 
0.1%
Lowercase Letter 11
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 4440
 
5.8%
문 3456
 
4.5%
화 3229
 
4.2%
예 3139
 
4.1%
관 3131
 
4.1%
술 2906
 
3.8%
공 2775
 
3.6%
연 2667
 
3.5%
대 2544
 
3.3%
회 2509
 
3.3%
Other values (434) 45418
59.6%
Uppercase Letter
ValueCountFrequency (%)
B 193
35.0%
C 79
14.3%
S 76
 
13.8%
K 73
 
13.2%
A 68
 
12.3%
T 16
 
2.9%
G 15
 
2.7%
D 10
 
1.8%
F 5
 
0.9%
M 4
 
0.7%
Other values (8) 13
 
2.4%
Decimal Number
ValueCountFrequency (%)
2 396
28.2%
1 387
27.5%
3 352
25.0%
4 82
 
5.8%
5 64
 
4.6%
9 57
 
4.1%
8 25
 
1.8%
0 23
 
1.6%
6 13
 
0.9%
7 7
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
l 2
18.2%
a 2
18.2%
e 2
18.2%
c 2
18.2%
m 1
9.1%
v 1
9.1%
t 1
9.1%
Other Punctuation
ValueCountFrequency (%)
, 114
85.1%
& 9
 
6.7%
. 8
 
6.0%
· 1
 
0.7%
; 1
 
0.7%
: 1
 
0.7%
Math Symbol
ValueCountFrequency (%)
+ 46
93.9%
~ 3
 
6.1%
Space Separator
ValueCountFrequency (%)
5422
100.0%
Close Punctuation
ValueCountFrequency (%)
) 346
100.0%
Open Punctuation
ValueCountFrequency (%)
( 345
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76214
90.2%
Common 7705
 
9.1%
Latin 563
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 4440
 
5.8%
문 3456
 
4.5%
화 3229
 
4.2%
예 3139
 
4.1%
관 3131
 
4.1%
술 2906
 
3.8%
공 2775
 
3.6%
연 2667
 
3.5%
대 2544
 
3.3%
회 2509
 
3.3%
Other values (434) 45418
59.6%
Latin
ValueCountFrequency (%)
B 193
34.3%
C 79
14.0%
S 76
 
13.5%
K 73
 
13.0%
A 68
 
12.1%
T 16
 
2.8%
G 15
 
2.7%
D 10
 
1.8%
F 5
 
0.9%
M 4
 
0.7%
Other values (15) 24
 
4.3%
Common
ValueCountFrequency (%)
5422
70.4%
2 396
 
5.1%
1 387
 
5.0%
3 352
 
4.6%
) 346
 
4.5%
( 345
 
4.5%
, 114
 
1.5%
4 82
 
1.1%
5 64
 
0.8%
9 57
 
0.7%
Other values (12) 140
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76212
90.2%
ASCII 8267
 
9.8%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5422
65.6%
2 396
 
4.8%
1 387
 
4.7%
3 352
 
4.3%
) 346
 
4.2%
( 345
 
4.2%
B 193
 
2.3%
, 114
 
1.4%
4 82
 
1.0%
C 79
 
1.0%
Other values (36) 551
 
6.7%
Hangul
ValueCountFrequency (%)
장 4440
 
5.8%
문 3456
 
4.5%
화 3229
 
4.2%
예 3139
 
4.1%
관 3131
 
4.1%
술 2906
 
3.8%
공 2775
 
3.6%
연 2667
 
3.5%
대 2544
 
3.3%
회 2509
 
3.3%
Other values (433) 45416
59.6%
Compat Jamo
ValueCountFrequency (%)
ㅂ 2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

행사내용
Text

Distinct3486
Distinct (%)37.4%
Missing0
Missing (%)0.0%
Memory size73.0 KiB
2024-05-04T07:36:25.343691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length228
Median length217
Mean length17.723288
Min length1

Characters and Unicode

Total characters165376
Distinct characters1223
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

Unique2867 ?
Unique (%)30.7%

Sample

1st row전시
2nd row전시
3rd row전시
4th row전시
5th row전시
ValueCountFrequency (%)
공연 1083
 
2.8%
클래식 720
 
1.8%
뮤지컬 497
 
1.3%
콘서트 457
 
1.2%
전시 382
 
1.0%
연극 328
 
0.8%
있는 320
 
0.8%
연주회 279
 
0.7%
및 257
 
0.7%
프로그램 254
 
0.6%
Other values (13810) 34617
88.3%
2024-05-04T07:36:27.107286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30030
 
18.2%
연 3967
 
2.4%
공 2766
 
1.7%
의 2502
 
1.5%
이 2321
 
1.4%
는 2142
 
1.3%
시 2028
 
1.2%
을 1823
 
1.1%
로 1810
 
1.1%
기 1651
 
1.0%
Other values (1213) 114336
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 124878
75.5%
Space Separator 30033
 
18.2%
Other Punctuation 3155
 
1.9%
Decimal Number 2466
 
1.5%
Lowercase Letter 1476
 
0.9%
Uppercase Letter 1240
 
0.7%
Math Symbol 786
 
0.5%
Close Punctuation 377
 
0.2%
Open Punctuation 375
 
0.2%
Initial Punctuation 239
 
0.1%
Other values (6) 351
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 3967
 
3.2%
공 2766
 
2.2%
의 2502
 
2.0%
이 2321
 
1.9%
는 2142
 
1.7%
시 2028
 
1.6%
을 1823
 
1.5%
로 1810
 
1.4%
기 1651
 
1.3%
아 1600
 
1.3%
Other values (1102) 102268
81.9%
Lowercase Letter
ValueCountFrequency (%)
e 172
11.7%
a 153
10.4%
r 141
9.6%
i 124
 
8.4%
n 123
 
8.3%
o 115
 
7.8%
t 109
 
7.4%
s 74
 
5.0%
l 61
 
4.1%
u 58
 
3.9%
Other values (16) 346
23.4%
Uppercase Letter
ValueCountFrequency (%)
C 336
27.1%
A 198
16.0%
S 70
 
5.6%
T 66
 
5.3%
E 60
 
4.8%
O 57
 
4.6%
M 47
 
3.8%
D 44
 
3.5%
B 41
 
3.3%
N 30
 
2.4%
Other values (15) 291
23.5%
Other Punctuation
ValueCountFrequency (%)
, 1239
39.3%
' 754
23.9%
. 651
20.6%
· 172
 
5.5%
? 122
 
3.9%
/ 107
 
3.4%
: 27
 
0.9%
& 27
 
0.9%
* 27
 
0.9%
＇ 12
 
0.4%
Other values (6) 17
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 610
24.7%
1 513
20.8%
0 487
19.7%
3 205
 
8.3%
5 142
 
5.8%
8 135
 
5.5%
9 98
 
4.0%
4 96
 
3.9%
7 93
 
3.8%
6 87
 
3.5%
Math Symbol
ValueCountFrequency (%)
+ 308
39.2%
> 226
28.8%
< 223
28.4%
→ 16
 
2.0%
~ 11
 
1.4%
× 1
 
0.1%
∼ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 307
81.4%
] 33
 
8.8%
」 16
 
4.2%
』 11
 
2.9%
》 9
 
2.4%
〉 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 306
81.6%
[ 33
 
8.8%
「 15
 
4.0%
『 11
 
2.9%
《 9
 
2.4%
〈 1
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅰ 1
 
14.3%
Ⅷ 1
 
14.3%
Ⅴ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
30030
> 99.9%
　 3
 
< 0.1%
Initial Punctuation
ValueCountFrequency (%)
‘ 210
87.9%
“ 29
 
12.1%
Final Punctuation
ValueCountFrequency (%)
’ 191
89.3%
” 23
 
10.7%
Other Symbol
ValueCountFrequency (%)
♬ 1
50.0%
㈜ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 23
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 124772
75.4%
Common 37774
 
22.8%
Latin 2724
 
1.6%
Han 106
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 3967
 
3.2%
공 2766
 
2.2%
의 2502
 
2.0%
이 2321
 
1.9%
는 2142
 
1.7%
시 2028
 
1.6%
을 1823
 
1.5%
로 1810
 
1.5%
기 1651
 
1.3%
아 1600
 
1.3%
Other values (1036) 102162
81.9%
Han
ValueCountFrequency (%)
夜 11
 
10.4%
愛 7
 
6.6%
展 4
 
3.8%
人 4
 
3.8%
歌 3
 
2.8%
故 3
 
2.8%
茶 3
 
2.8%
休 3
 
2.8%
樂 2
 
1.9%
工 2
 
1.9%
Other values (56) 64
60.4%
Latin
ValueCountFrequency (%)
C 336
 
12.3%
A 198
 
7.3%
e 172
 
6.3%
a 153
 
5.6%
r 141
 
5.2%
i 124
 
4.6%
n 123
 
4.5%
o 115
 
4.2%
t 109
 
4.0%
s 74
 
2.7%
Other values (46) 1179
43.3%
Common
ValueCountFrequency (%)
30030
79.5%
, 1239
 
3.3%
' 754
 
2.0%
. 651
 
1.7%
2 610
 
1.6%
1 513
 
1.4%
0 487
 
1.3%
+ 308
 
0.8%
) 307
 
0.8%
( 306
 
0.8%
Other values (45) 2569
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 124768
75.4%
ASCII 39742
 
24.0%
Punctuation 467
 
0.3%
None 265
 
0.2%
CJK 103
 
0.1%
Arrows 16
 
< 0.1%
Number Forms 7
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30030
75.6%
, 1239
 
3.1%
' 754
 
1.9%
. 651
 
1.6%
2 610
 
1.5%
1 513
 
1.3%
0 487
 
1.2%
C 336
 
0.8%
+ 308
 
0.8%
) 307
 
0.8%
Other values (72) 4507
 
11.3%
Hangul
ValueCountFrequency (%)
연 3967
 
3.2%
공 2766
 
2.2%
의 2502
 
2.0%
이 2321
 
1.9%
는 2142
 
1.7%
시 2028
 
1.6%
을 1823
 
1.5%
로 1810
 
1.5%
기 1651
 
1.3%
아 1600
 
1.3%
Other values (1033) 102158
81.9%
Punctuation
ValueCountFrequency (%)
‘ 210
45.0%
’ 191
40.9%
“ 29
 
6.2%
” 23
 
4.9%
※ 9
 
1.9%
… 3
 
0.6%
′ 2
 
0.4%
None
ValueCountFrequency (%)
· 172
64.9%
」 16
 
6.0%
「 15
 
5.7%
＇ 12
 
4.5%
』 11
 
4.2%
『 11
 
4.2%
》 9
 
3.4%
《 9
 
3.4%
　 3
 
1.1%
〉 1
 
0.4%
Other values (6) 6
 
2.3%
Arrows
ValueCountFrequency (%)
→ 16
100.0%
CJK
ValueCountFrequency (%)
夜 11
 
10.7%
愛 7
 
6.8%
展 4
 
3.9%
人 4
 
3.9%
歌 3
 
2.9%
故 3
 
2.9%
茶 3
 
2.9%
休 3
 
2.9%
工 2
 
1.9%
作 2
 
1.9%
Other values (54) 61
59.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅰ 1
 
14.3%
Ⅷ 1
 
14.3%
Ⅴ 1
 
14.3%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 2
66.7%
論 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
66.7%
ㅅ 1
33.3%
Misc Symbols
ValueCountFrequency (%)
♬ 1
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

행사시작일자
Date

Distinct2195
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Memory size73.0 KiB
Minimum2014-03-07 00:00:00
Maximum2024-12-14 00:00:00
2024-05-04T07:36:27.627913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:36:28.117529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

행사종료일자
Date

Distinct2169
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Memory size73.0 KiB
Minimum2014-03-07 00:00:00
Maximum2030-06-30 00:00:00
2024-05-04T07:36:28.762396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:36:29.394537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

행사시작시각
Text

Distinct533
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size73.0 KiB
2024-05-04T07:36:30.131176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length5
Mean length6.5857893
Min length1

Characters and Unicode

Total characters61452
Distinct characters231
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique372 ?
Unique (%)4.0%

Sample

1st row09:00
2nd row09:00
3rd row09:00
4th row09:00
5th row09:00
ValueCountFrequency (%)
19:30 2234
18.3%
19:00 1202
 
9.8%
10:00 922
 
7.5%
14:00 890
 
7.3%
883
 
7.2%
17:00 757
 
6.2%
15:00 753
 
6.2%
11:00 630
 
5.2%
16:00 404
 
3.3%
18:00 395
 
3.2%
Other values (491) 3156
25.8%
2024-05-04T07:36:31.245632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20506
33.4%
: 10806
17.6%
1 10782
17.5%
9 3916
 
6.4%
3 3301
 
5.4%
2948
 
4.8%
4 1136
 
1.8%
5 1013
 
1.6%
7 885
 
1.4%
- 656
 
1.1%
Other values (221) 5503
 
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43351
70.5%
Other Punctuation 11132
 
18.1%
Space Separator 2948
 
4.8%
Other Letter 1926
 
3.1%
Dash Punctuation 656
 
1.1%
Math Symbol 496
 
0.8%
Close Punctuation 467
 
0.8%
Open Punctuation 467
 
0.8%
Uppercase Letter 8
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 209
 
10.9%
토 158
 
8.2%
회 109
 
5.7%
수 95
 
4.9%
화 94
 
4.9%
상 75
 
3.9%
참 70
 
3.6%
세 69
 
3.6%
조 68
 
3.5%
정 61
 
3.2%
Other values (187) 918
47.7%
Decimal Number
ValueCountFrequency (%)
0 20506
47.3%
1 10782
24.9%
9 3916
 
9.0%
3 3301
 
7.6%
4 1136
 
2.6%
5 1013
 
2.3%
7 885
 
2.0%
2 654
 
1.5%
8 592
 
1.4%
6 566
 
1.3%
Other Punctuation
ValueCountFrequency (%)
: 10806
97.1%
, 178
 
1.6%
/ 62
 
0.6%
. 49
 
0.4%
※ 25
 
0.2%
* 4
 
< 0.1%
? 4
 
< 0.1%
＊ 3
 
< 0.1%
& 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 490
98.8%
< 2
 
0.4%
> 2
 
0.4%
∼ 1
 
0.2%
～ 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
37.5%
A 2
25.0%
B 1
 
12.5%
F 1
 
12.5%
E 1
 
12.5%
Space Separator
ValueCountFrequency (%)
2948
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 656
100.0%
Close Punctuation
ValueCountFrequency (%)
) 467
100.0%
Open Punctuation
ValueCountFrequency (%)
( 467
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 59518
96.9%
Hangul 1924
 
3.1%
Latin 8
 
< 0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 209
 
10.9%
토 158
 
8.2%
회 109
 
5.7%
수 95
 
4.9%
화 94
 
4.9%
상 75
 
3.9%
참 70
 
3.6%
세 69
 
3.6%
조 68
 
3.5%
정 61
 
3.2%
Other values (186) 916
47.6%
Common
ValueCountFrequency (%)
0 20506
34.5%
: 10806
18.2%
1 10782
18.1%
9 3916
 
6.6%
3 3301
 
5.5%
2948
 
5.0%
4 1136
 
1.9%
5 1013
 
1.7%
7 885
 
1.5%
- 656
 
1.1%
Other values (19) 3569
 
6.0%
Latin
ValueCountFrequency (%)
C 3
37.5%
A 2
25.0%
B 1
 
12.5%
F 1
 
12.5%
E 1
 
12.5%
Han
ValueCountFrequency (%)
展 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59496
96.8%
Hangul 1923
 
3.1%
Punctuation 25
 
< 0.1%
None 4
 
< 0.1%
CJK 2
 
< 0.1%
Math Operators 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20506
34.5%
: 10806
18.2%
1 10782
18.1%
9 3916
 
6.6%
3 3301
 
5.5%
2948
 
5.0%
4 1136
 
1.9%
5 1013
 
1.7%
7 885
 
1.5%
- 656
 
1.1%
Other values (20) 3547
 
6.0%
Hangul
ValueCountFrequency (%)
일 209
 
10.9%
토 158
 
8.2%
회 109
 
5.7%
수 95
 
4.9%
화 94
 
4.9%
상 75
 
3.9%
참 70
 
3.6%
세 69
 
3.6%
조 68
 
3.5%
정 61
 
3.2%
Other values (185) 915
47.6%
Punctuation
ValueCountFrequency (%)
※ 25
100.0%
None
ValueCountFrequency (%)
＊ 3
75.0%
～ 1
 
25.0%
CJK
ValueCountFrequency (%)
展 2
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

행사종료시각
Date

MISSING 

Distinct165
Distinct (%)2.0%
Missing1186
Missing (%)12.7%
Memory size73.0 KiB
Minimum2024-05-04 00:00:00
Maximum2024-05-04 23:59:00
2024-05-04T07:36:31.670168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:36:32.064496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

요금정보
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size73.0 KiB
무료
5586 
유료
3733 
혼합
 
7
일반 7000+장애인 등 5000
 
2
일반 15000+장애인 등 7500
 
2

Length

Max length19
Median length2
Mean length2.0073947
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
무료 5586
59.9%
유료 3733
40.0%
혼합 7
 
0.1%
일반 7000+장애인 등 5000 2
 
< 0.1%
일반 15000+장애인 등 7500 2
 
< 0.1%
무료+유료 1
 
< 0.1%

Length

2024-05-04T07:36:32.581310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:36:32.886934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 5586
59.8%
유료 3733
40.0%
혼합 7
 
0.1%
일반 4
 
< 0.1%
등 4
 
< 0.1%
7000+장애인 2
 
< 0.1%
5000 2
 
< 0.1%
15000+장애인 2
 
< 0.1%
7500 2
 
< 0.1%
무료+유료 1
 
< 0.1%

주관기관명
Text

Distinct2301
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Memory size73.0 KiB
2024-05-04T07:36:33.528101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length39
Mean length9.1803665
Min length2

Characters and Unicode

Total characters85662
Distinct characters656
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1475 ?
Unique (%)15.8%

Sample

1st row최학보
2nd row조준백
3rd row남명은
4th row손정인
5th row진은정
ValueCountFrequency (%)
아시아문화원 1133
 
9.1%
경기도 391
 
3.1%
군산예술의전당 378
 
3.0%
안동문화예술의전당 258
 
2.1%
경기도청+경기도 246
 
2.0%
재)경주문화재단 185
 
1.5%
전라남도 160
 
1.3%
경상남도 156
 
1.3%
춘천문화재단 152
 
1.2%
충청남도 147
 
1.2%
Other values (2552) 9212
74.2%
2024-05-04T07:36:34.599538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
문 4203
 
4.9%
화 4164
 
4.9%
시 3492
 
4.1%
3089
 
3.6%
아 2720
 
3.2%
도 2509
 
2.9%
단 2482
 
2.9%
원 2024
 
2.4%
예 1925
 
2.2%
청 1886
 
2.2%
Other values (646) 57168
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78703
91.9%
Space Separator 3089
 
3.6%
Math Symbol 1331
 
1.6%
Close Punctuation 720
 
0.8%
Uppercase Letter 699
 
0.8%
Open Punctuation 666
 
0.8%
Lowercase Letter 214
 
0.2%
Other Symbol 117
 
0.1%
Decimal Number 59
 
0.1%
Other Punctuation 58
 
0.1%
Other values (2) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
문 4203
 
5.3%
화 4164
 
5.3%
시 3492
 
4.4%
아 2720
 
3.5%
도 2509
 
3.2%
단 2482
 
3.2%
원 2024
 
2.6%
예 1925
 
2.4%
청 1886
 
2.4%
술 1870
 
2.4%
Other values (575) 51428
65.3%
Uppercase Letter
ValueCountFrequency (%)
G 119
17.0%
C 109
15.6%
S 101
14.4%
J 52
 
7.4%
V 42
 
6.0%
B 27
 
3.9%
E 27
 
3.9%
N 24
 
3.4%
T 23
 
3.3%
M 23
 
3.3%
Other values (15) 152
21.7%
Lowercase Letter
ValueCountFrequency (%)
o 24
11.2%
a 22
 
10.3%
n 19
 
8.9%
e 18
 
8.4%
i 15
 
7.0%
t 13
 
6.1%
r 13
 
6.1%
m 11
 
5.1%
u 11
 
5.1%
l 11
 
5.1%
Other values (12) 57
26.6%
Decimal Number
ValueCountFrequency (%)
2 12
20.3%
1 12
20.3%
0 8
13.6%
8 7
11.9%
3 6
10.2%
4 6
10.2%
9 3
 
5.1%
7 2
 
3.4%
5 2
 
3.4%
6 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
/ 21
36.2%
, 14
24.1%
. 9
15.5%
& 8
 
13.8%
· 3
 
5.2%
? 2
 
3.4%
: 1
 
1.7%
Space Separator
ValueCountFrequency (%)
3089
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1331
100.0%
Close Punctuation
ValueCountFrequency (%)
) 720
100.0%
Open Punctuation
ValueCountFrequency (%)
( 666
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 117
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78819
92.0%
Common 5929
 
6.9%
Latin 913
 
1.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
문 4203
 
5.3%
화 4164
 
5.3%
시 3492
 
4.4%
아 2720
 
3.5%
도 2509
 
3.2%
단 2482
 
3.1%
원 2024
 
2.6%
예 1925
 
2.4%
청 1886
 
2.4%
술 1870
 
2.4%
Other values (575) 51544
65.4%
Latin
ValueCountFrequency (%)
G 119
 
13.0%
C 109
 
11.9%
S 101
 
11.1%
J 52
 
5.7%
V 42
 
4.6%
B 27
 
3.0%
E 27
 
3.0%
N 24
 
2.6%
o 24
 
2.6%
T 23
 
2.5%
Other values (37) 365
40.0%
Common
ValueCountFrequency (%)
3089
52.1%
+ 1331
22.4%
) 720
 
12.1%
( 666
 
11.2%
/ 21
 
0.4%
, 14
 
0.2%
2 12
 
0.2%
1 12
 
0.2%
. 9
 
0.2%
0 8
 
0.1%
Other values (13) 47
 
0.8%
Han
ValueCountFrequency (%)
音 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78702
91.9%
ASCII 6839
 
8.0%
None 120
 
0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
문 4203
 
5.3%
화 4164
 
5.3%
시 3492
 
4.4%
아 2720
 
3.5%
도 2509
 
3.2%
단 2482
 
3.2%
원 2024
 
2.6%
예 1925
 
2.4%
청 1886
 
2.4%
술 1870
 
2.4%
Other values (574) 51427
65.3%
ASCII
ValueCountFrequency (%)
3089
45.2%
+ 1331
19.5%
) 720
 
10.5%
( 666
 
9.7%
G 119
 
1.7%
C 109
 
1.6%
S 101
 
1.5%
J 52
 
0.8%
V 42
 
0.6%
B 27
 
0.4%
Other values (59) 583
 
8.5%
None
ValueCountFrequency (%)
㈜ 117
97.5%
· 3
 
2.5%
CJK
ValueCountFrequency (%)
音 1
100.0%

주최기관명
Text

Distinct1907
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Memory size73.0 KiB
2024-05-04T07:36:35.327960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length9.4483978
Min length2

Characters and Unicode

Total characters88163
Distinct characters605
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1204 ?
Unique (%)12.9%

Sample

1st row최학보
2nd row조준백
3rd row남명은
4th row손정인
5th row진은정
ValueCountFrequency (%)
국립아시아문화전당 1133
 
8.4%
경기도 759
 
5.7%
군산시청 378
 
2.8%
경상북도 311
 
2.3%
경상남도 292
 
2.2%
강원도 247
 
1.8%
경기도청+경기도 246
 
1.8%
한국문화예술회관연합회 240
 
1.8%
전북특별자치도 229
 
1.7%
전라북도 221
 
1.6%
Other values (2089) 9358
69.8%
2024-05-04T07:36:36.509086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 4411
 
5.0%
4083
 
4.6%
문 3792
 
4.3%
도 3773
 
4.3%
화 3750
 
4.3%
청 2945
 
3.3%
아 2562
 
2.9%
경 2435
 
2.8%
전 2256
 
2.6%
국 2044
 
2.3%
Other values (595) 56112
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81296
92.2%
Space Separator 4083
 
4.6%
Math Symbol 1160
 
1.3%
Close Punctuation 482
 
0.5%
Open Punctuation 423
 
0.5%
Uppercase Letter 418
 
0.5%
Lowercase Letter 130
 
0.1%
Other Symbol 110
 
0.1%
Other Punctuation 28
 
< 0.1%
Decimal Number 28
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 4411
 
5.4%
문 3792
 
4.7%
도 3773
 
4.6%
화 3750
 
4.6%
청 2945
 
3.6%
아 2562
 
3.2%
경 2435
 
3.0%
전 2256
 
2.8%
국 2044
 
2.5%
회 1747
 
2.1%
Other values (530) 51581
63.4%
Uppercase Letter
ValueCountFrequency (%)
S 99
23.7%
G 73
17.5%
B 36
 
8.6%
C 32
 
7.7%
E 19
 
4.5%
M 18
 
4.3%
K 18
 
4.3%
T 16
 
3.8%
J 13
 
3.1%
P 12
 
2.9%
Other values (14) 82
19.6%
Lowercase Letter
ValueCountFrequency (%)
o 15
11.5%
a 14
10.8%
e 14
10.8%
n 12
 
9.2%
i 9
 
6.9%
l 8
 
6.2%
r 7
 
5.4%
t 7
 
5.4%
y 6
 
4.6%
u 5
 
3.8%
Other values (10) 33
25.4%
Decimal Number
ValueCountFrequency (%)
3 5
17.9%
2 4
14.3%
0 4
14.3%
9 3
10.7%
4 3
10.7%
8 3
10.7%
5 2
 
7.1%
1 2
 
7.1%
6 1
 
3.6%
7 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
& 10
35.7%
, 6
21.4%
/ 6
21.4%
· 3
 
10.7%
. 3
 
10.7%
Space Separator
ValueCountFrequency (%)
4083
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1160
100.0%
Close Punctuation
ValueCountFrequency (%)
) 482
100.0%
Open Punctuation
ValueCountFrequency (%)
( 423
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 110
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81404
92.3%
Common 6209
 
7.0%
Latin 548
 
0.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 4411
 
5.4%
문 3792
 
4.7%
도 3773
 
4.6%
화 3750
 
4.6%
청 2945
 
3.6%
아 2562
 
3.1%
경 2435
 
3.0%
전 2256
 
2.8%
국 2044
 
2.5%
회 1747
 
2.1%
Other values (529) 51689
63.5%
Latin
ValueCountFrequency (%)
S 99
18.1%
G 73
 
13.3%
B 36
 
6.6%
C 32
 
5.8%
E 19
 
3.5%
M 18
 
3.3%
K 18
 
3.3%
T 16
 
2.9%
o 15
 
2.7%
a 14
 
2.6%
Other values (34) 208
38.0%
Common
ValueCountFrequency (%)
4083
65.8%
+ 1160
 
18.7%
) 482
 
7.8%
( 423
 
6.8%
& 10
 
0.2%
, 6
 
0.1%
/ 6
 
0.1%
3 5
 
0.1%
_ 5
 
0.1%
2 4
 
0.1%
Other values (10) 25
 
0.4%
Han
ValueCountFrequency (%)
唱 1
50.0%
竝 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81294
92.2%
ASCII 6754
 
7.7%
None 113
 
0.1%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 4411
 
5.4%
문 3792
 
4.7%
도 3773
 
4.6%
화 3750
 
4.6%
청 2945
 
3.6%
아 2562
 
3.2%
경 2435
 
3.0%
전 2256
 
2.8%
국 2044
 
2.5%
회 1747
 
2.1%
Other values (528) 51579
63.4%
ASCII
ValueCountFrequency (%)
4083
60.5%
+ 1160
 
17.2%
) 482
 
7.1%
( 423
 
6.3%
S 99
 
1.5%
G 73
 
1.1%
B 36
 
0.5%
C 32
 
0.5%
E 19
 
0.3%
M 18
 
0.3%
Other values (53) 329
 
4.9%
None
ValueCountFrequency (%)
㈜ 110
97.3%
· 3
 
2.7%
CJK
ValueCountFrequency (%)
唱 1
50.0%
竝 1
50.0%

전화번호
Text

MISSING 

Distinct848
Distinct (%)11.0%
Missing1645
Missing (%)17.6%
Memory size73.0 KiB
2024-05-04T07:36:37.279949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.471246
Min length9

Characters and Unicode

Total characters88168
Distinct characters13
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

Unique424 ?
Unique (%)5.5%

Sample

1st row051-749-7661
2nd row051-749-7661
3rd row051-749-7661
4th row051-749-7661
5th row051-749-7661
ValueCountFrequency (%)
1899-5566 1133
 
14.7%
054-840-3600 311
 
4.0%
063-454-5535 264
 
3.4%
055-530-1911 209
 
2.7%
053-231-1333 146
 
1.9%
031-660-0666 143
 
1.9%
055-379-8550 107
 
1.4%
054-840-3605 103
 
1.3%
063-454-5528 102
 
1.3%
032-460-0560 101
 
1.3%
Other values (836) 5067
65.9%
2024-05-04T07:36:38.766824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 14039
15.9%
0 13715
15.6%
5 10719
12.2%
3 8683
9.8%
6 8628
9.8%
1 6480
7.3%
4 6230
7.1%
8 5986
6.8%
9 5263
 
6.0%
2 4781
 
5.4%
Other values (3) 3644
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 74126
84.1%
Dash Punctuation 14039
 
15.9%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13715
18.5%
5 10719
14.5%
3 8683
11.7%
6 8628
11.6%
1 6480
8.7%
4 6230
8.4%
8 5986
8.1%
9 5263
 
7.1%
2 4781
 
6.4%
7 3641
 
4.9%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
+ 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 14039
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 88168
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 14039
15.9%
0 13715
15.6%
5 10719
12.2%
3 8683
9.8%
6 8628
9.8%
1 6480
7.3%
4 6230
7.1%
8 5986
6.8%
9 5263
 
6.0%
2 4781
 
5.4%
Other values (3) 3644
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 88168
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 14039
15.9%
0 13715
15.6%
5 10719
12.2%
3 8683
9.8%
6 8628
9.8%
1 6480
7.3%
4 6230
7.1%
8 5986
6.8%
9 5263
 
6.0%
2 4781
 
5.4%
Other values (3) 3644
 
4.1%

후원기관명
Text

MISSING 

Distinct260
Distinct (%)17.1%
Missing7814
Missing (%)83.7%
Memory size73.0 KiB
2024-05-04T07:36:39.650561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length115
Median length79
Mean length11.342123
Min length1

Characters and Unicode

Total characters17206
Distinct characters331
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)9.9%

Sample

1st row문화체육관광부+한국문화예술위원회
2nd row문화체육관광부
3rd row문화체육관광부+한국문화예술위원회
4th row문화체육관광부
5th row문화체육관광부
ValueCountFrequency (%)
경기도 414
 
17.2%
문화체육관광부+한국문화예술위원회 167
 
6.9%
안성시청 127
 
5.3%
강원도 89
 
3.7%
동두천시의회 80
 
3.3%
광명시의회 71
 
2.9%
경상남도 61
 
2.5%
안양시 56
 
2.3%
거창군청 47
 
2.0%
춘천문화재단 45
 
1.9%
Other values (331) 1253
52.0%
2024-05-04T07:36:40.979269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 929
 
5.4%
893
 
5.2%
시 790
 
4.6%
문 781
 
4.5%
화 744
 
4.3%
청 639
 
3.7%
+ 634
 
3.7%
경 591
 
3.4%
원 516
 
3.0%
광 503
 
2.9%
Other values (321) 10186
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15480
90.0%
Space Separator 893
 
5.2%
Math Symbol 634
 
3.7%
Uppercase Letter 105
 
0.6%
Close Punctuation 19
 
0.1%
Other Punctuation 19
 
0.1%
Other Symbol 18
 
0.1%
Open Punctuation 17
 
0.1%
Decimal Number 9
 
0.1%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 929
 
6.0%
시 790
 
5.1%
문 781
 
5.0%
화 744
 
4.8%
청 639
 
4.1%
경 591
 
3.8%
원 516
 
3.3%
광 503
 
3.2%
기 495
 
3.2%
회 481
 
3.1%
Other values (285) 9011
58.2%
Uppercase Letter
ValueCountFrequency (%)
N 20
19.0%
B 16
15.2%
S 14
13.3%
M 11
10.5%
C 8
 
7.6%
U 6
 
5.7%
D 5
 
4.8%
A 4
 
3.8%
K 4
 
3.8%
Z 3
 
2.9%
Other values (8) 14
13.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
16.7%
h 1
16.7%
e 1
16.7%
t 1
16.7%
s 1
16.7%
j 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 8
42.1%
/ 6
31.6%
. 5
26.3%
Decimal Number
ValueCountFrequency (%)
4 4
44.4%
3 4
44.4%
1 1
 
11.1%
Space Separator
ValueCountFrequency (%)
893
100.0%
Math Symbol
ValueCountFrequency (%)
+ 634
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15484
90.0%
Common 1597
 
9.3%
Latin 111
 
0.6%
Han 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 929
 
6.0%
시 790
 
5.1%
문 781
 
5.0%
화 744
 
4.8%
청 639
 
4.1%
경 591
 
3.8%
원 516
 
3.3%
광 503
 
3.2%
기 495
 
3.2%
회 481
 
3.1%
Other values (285) 9015
58.2%
Latin
ValueCountFrequency (%)
N 20
18.0%
B 16
14.4%
S 14
12.6%
M 11
9.9%
C 8
 
7.2%
U 6
 
5.4%
D 5
 
4.5%
A 4
 
3.6%
K 4
 
3.6%
Z 3
 
2.7%
Other values (14) 20
18.0%
Common
ValueCountFrequency (%)
893
55.9%
+ 634
39.7%
) 19
 
1.2%
( 17
 
1.1%
, 8
 
0.5%
/ 6
 
0.4%
- 6
 
0.4%
. 5
 
0.3%
4 4
 
0.3%
3 4
 
0.3%
Han
ValueCountFrequency (%)
無 14
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15466
89.9%
ASCII 1708
 
9.9%
None 18
 
0.1%
CJK 14
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 929
 
6.0%
시 790
 
5.1%
문 781
 
5.0%
화 744
 
4.8%
청 639
 
4.1%
경 591
 
3.8%
원 516
 
3.3%
광 503
 
3.3%
기 495
 
3.2%
회 481
 
3.1%
Other values (284) 8997
58.2%
ASCII
ValueCountFrequency (%)
893
52.3%
+ 634
37.1%
N 20
 
1.2%
) 19
 
1.1%
( 17
 
1.0%
B 16
 
0.9%
S 14
 
0.8%
M 11
 
0.6%
, 8
 
0.5%
C 8
 
0.5%
Other values (25) 68
 
4.0%
None
ValueCountFrequency (%)
㈜ 18
100.0%
CJK
ValueCountFrequency (%)
無 14
100.0%

객석수
Real number (ℝ)

MISSING 

Distinct446
Distinct (%)8.0%
Missing3778
Missing (%)40.5%
Infinite0
Infinite (%)0.0%
Mean1533.924
Minimum0
Maximum66704
Zeros55
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size82.1 KiB
2024-05-04T07:36:41.576642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q1229
median500
Q3834
95-th percentile1411
Maximum66704
Range66704
Interquartile range (IQR)605

Descriptive statistics

Standard deviation7945.4124
Coefficient of variation (CV)5.1797953
Kurtosis63.104995
Mean1533.924
Median Absolute Deviation (MAD)318
Skewness8.0521691
Sum8517880
Variance63129579
MonotonicityNot monotonic
2024-05-04T07:36:42.168944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
940 169
 
1.8%
932 164
 
1.8%
100 164
 
1.8%
496 162
 
1.7%
500 147
 
1.6%
248 125
 
1.3%
200 119
 
1.3%
828 118
 
1.3%
1441 110
 
1.2%
1071 105
 
1.1%
Other values (436) 4170
44.7%
(Missing) 3778
40.5%
ValueCountFrequency (%)
0 55
0.6%
1 7
 
0.1%
5 1
 
< 0.1%
6 2
 
< 0.1%
7 6
 
0.1%
8 6
 
0.1%
9 2
 
< 0.1%
10 64
0.7%
11 2
 
< 0.1%
12 7
 
0.1%
ValueCountFrequency (%)
66704 81
0.9%
12500 1
 
< 0.1%
12000 1
 
< 0.1%
10000 1
 
< 0.1%
8000 1
 
< 0.1%
6000 1
 
< 0.1%
5000 1
 
< 0.1%
3924 1
 
< 0.1%
3500 1
 
< 0.1%
3423 1
 
< 0.1%

관람요금
Text

MISSING 

Distinct699
Distinct (%)17.2%
Missing5263
Missing (%)56.4%
Memory size73.0 KiB
2024-05-04T07:36:42.828684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length125
Median length86
Mean length10.475172
Min length1

Characters and Unicode

Total characters42613
Distinct characters275
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique388 ?
Unique (%)9.5%

Sample

1st row20000
2nd row20000
3rd row10000
4th rowR석 35000원+S석 25000원
5th rowR석 30000원+S석 20000원+A석 10000원
ValueCountFrequency (%)
무료 815
 
11.4%
전석 350
 
4.9%
10000원 321
 
4.5%
r석 213
 
3.0%
20000원 183
 
2.6%
5000원 143
 
2.0%
10000 138
 
1.9%
1층 100
 
1.4%
99
 
1.4%
20000 98
 
1.4%
Other values (847) 4667
65.5%
2024-05-04T07:36:44.359291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15851
37.2%
원 3542
 
8.3%
3119
 
7.3%
석 2078
 
4.9%
1 1756
 
4.1%
+ 1358
 
3.2%
2 1195
 
2.8%
5 1099
 
2.6%
료 987
 
2.3%
무 869
 
2.0%
Other values (265) 10759
25.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21769
51.1%
Other Letter 12505
29.3%
Space Separator 3119
 
7.3%
Uppercase Letter 1913
 
4.5%
Math Symbol 1394
 
3.3%
Other Punctuation 1144
 
2.7%
Open Punctuation 377
 
0.9%
Close Punctuation 377
 
0.9%
Lowercase Letter 12
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 3542
28.3%
석 2078
16.6%
료 987
 
7.9%
무 869
 
6.9%
전 587
 
4.7%
층 325
 
2.6%
만 251
 
2.0%
이 220
 
1.8%
인 154
 
1.2%
일 136
 
1.1%
Other values (218) 3356
26.8%
Uppercase Letter
ValueCountFrequency (%)
R 633
33.1%
S 631
33.0%
A 382
20.0%
B 69
 
3.6%
P 59
 
3.1%
V 57
 
3.0%
I 57
 
3.0%
F 15
 
0.8%
C 4
 
0.2%
Y 2
 
0.1%
Other values (2) 4
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 15851
72.8%
1 1756
 
8.1%
2 1195
 
5.5%
5 1099
 
5.0%
3 753
 
3.5%
4 349
 
1.6%
6 267
 
1.2%
7 222
 
1.0%
8 177
 
0.8%
9 100
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 838
73.3%
: 182
 
15.9%
/ 45
 
3.9%
* 30
 
2.6%
※ 23
 
2.0%
· 12
 
1.0%
. 9
 
0.8%
? 5
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
e 3
25.0%
r 2
16.7%
f 2
16.7%
g 1
 
8.3%
a 1
 
8.3%
h 1
 
8.3%
c 1
 
8.3%
o 1
 
8.3%
Math Symbol
ValueCountFrequency (%)
+ 1358
97.4%
~ 19
 
1.4%
< 8
 
0.6%
> 8
 
0.6%
→ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3119
100.0%
Open Punctuation
ValueCountFrequency (%)
( 377
100.0%
Close Punctuation
ValueCountFrequency (%)
) 377
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28183
66.1%
Hangul 12505
29.3%
Latin 1925
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 3542
28.3%
석 2078
16.6%
료 987
 
7.9%
무 869
 
6.9%
전 587
 
4.7%
층 325
 
2.6%
만 251
 
2.0%
이 220
 
1.8%
인 154
 
1.2%
일 136
 
1.1%
Other values (218) 3356
26.8%
Common
ValueCountFrequency (%)
0 15851
56.2%
3119
 
11.1%
1 1756
 
6.2%
+ 1358
 
4.8%
2 1195
 
4.2%
5 1099
 
3.9%
, 838
 
3.0%
3 753
 
2.7%
( 377
 
1.3%
) 377
 
1.3%
Other values (17) 1460
 
5.2%
Latin
ValueCountFrequency (%)
R 633
32.9%
S 631
32.8%
A 382
19.8%
B 69
 
3.6%
P 59
 
3.1%
V 57
 
3.0%
I 57
 
3.0%
F 15
 
0.8%
C 4
 
0.2%
e 3
 
0.2%
Other values (10) 15
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30072
70.6%
Hangul 12505
29.3%
Punctuation 23
 
0.1%
None 12
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15851
52.7%
3119
 
10.4%
1 1756
 
5.8%
+ 1358
 
4.5%
2 1195
 
4.0%
5 1099
 
3.7%
, 838
 
2.8%
3 753
 
2.5%
R 633
 
2.1%
S 631
 
2.1%
Other values (34) 2839
 
9.4%
Hangul
ValueCountFrequency (%)
원 3542
28.3%
석 2078
16.6%
료 987
 
7.9%
무 869
 
6.9%
전 587
 
4.7%
층 325
 
2.6%
만 251
 
2.0%
이 220
 
1.8%
인 154
 
1.2%
일 136
 
1.1%
Other values (218) 3356
26.8%
Punctuation
ValueCountFrequency (%)
※ 23
100.0%
None
ValueCountFrequency (%)
· 12
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

입장연령
Text

MISSING 

Distinct536
Distinct (%)7.4%
Missing2103
Missing (%)22.5%
Memory size73.0 KiB
2024-05-04T07:36:45.123104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length54
Mean length6.7677089
Min length1

Characters and Unicode

Total characters48917
Distinct characters264
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique270 ?
Unique (%)3.7%

Sample

1st row전연령
2nd row전연령
3rd row전연령
4th row전연령
5th row전연령
ValueCountFrequency (%)
이상 2495
 
17.8%
전연령 677
 
4.8%
8세 645
 
4.6%
만 637
 
4.5%
가능 629
 
4.5%
초등학생 488
 
3.5%
7세 471
 
3.4%
전체관람가 469
 
3.3%
관람 453
 
3.2%
연령 412
 
2.9%
Other values (511) 6644
47.4%
2024-05-04T07:36:46.635998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6831
 
14.0%
이 4295
 
8.8%
상 4188
 
8.6%
세 2907
 
5.9%
가 2474
 
5.1%
관 2139
 
4.4%
람 2095
 
4.3%
전 1785
 
3.6%
생 1255
 
2.6%
등 1238
 
2.5%
Other values (254) 19710
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36021
73.6%
Space Separator 6831
 
14.0%
Decimal Number 5326
 
10.9%
Other Punctuation 182
 
0.4%
Math Symbol 160
 
0.3%
Dash Punctuation 133
 
0.3%
Close Punctuation 128
 
0.3%
Open Punctuation 128
 
0.3%
Uppercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 4295
 
11.9%
상 4188
 
11.6%
세 2907
 
8.1%
가 2474
 
6.9%
관 2139
 
5.9%
람 2095
 
5.8%
전 1785
 
5.0%
생 1255
 
3.5%
등 1238
 
3.4%
초 1237
 
3.4%
Other values (224) 12408
34.4%
Decimal Number
ValueCountFrequency (%)
8 1163
21.8%
1 945
17.7%
7 791
14.9%
2 573
10.8%
5 537
10.1%
6 378
 
7.1%
3 351
 
6.6%
4 347
 
6.5%
0 230
 
4.3%
9 11
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 121
66.5%
, 25
 
13.7%
: 11
 
6.0%
※ 9
 
4.9%
/ 8
 
4.4%
· 7
 
3.8%
* 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 2
25.0%
A 2
25.0%
E 1
12.5%
S 1
12.5%
I 1
12.5%
D 1
12.5%
Math Symbol
ValueCountFrequency (%)
~ 152
95.0%
+ 5
 
3.1%
∼ 3
 
1.9%
Space Separator
ValueCountFrequency (%)
6831
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 133
100.0%
Close Punctuation
ValueCountFrequency (%)
) 128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36021
73.6%
Common 12888
 
26.3%
Latin 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 4295
 
11.9%
상 4188
 
11.6%
세 2907
 
8.1%
가 2474
 
6.9%
관 2139
 
5.9%
람 2095
 
5.8%
전 1785
 
5.0%
생 1255
 
3.5%
등 1238
 
3.4%
초 1237
 
3.4%
Other values (224) 12408
34.4%
Common
ValueCountFrequency (%)
6831
53.0%
8 1163
 
9.0%
1 945
 
7.3%
7 791
 
6.1%
2 573
 
4.4%
5 537
 
4.2%
6 378
 
2.9%
3 351
 
2.7%
4 347
 
2.7%
0 230
 
1.8%
Other values (14) 742
 
5.8%
Latin
ValueCountFrequency (%)
C 2
25.0%
A 2
25.0%
E 1
12.5%
S 1
12.5%
I 1
12.5%
D 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36021
73.6%
ASCII 12877
 
26.3%
Punctuation 9
 
< 0.1%
None 7
 
< 0.1%
Math Operators 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6831
53.0%
8 1163
 
9.0%
1 945
 
7.3%
7 791
 
6.1%
2 573
 
4.4%
5 537
 
4.2%
6 378
 
2.9%
3 351
 
2.7%
4 347
 
2.7%
0 230
 
1.8%
Other values (17) 731
 
5.7%
Hangul
ValueCountFrequency (%)
이 4295
 
11.9%
상 4188
 
11.6%
세 2907
 
8.1%
가 2474
 
6.9%
관 2139
 
5.9%
람 2095
 
5.8%
전 1785
 
5.0%
생 1255
 
3.5%
등 1238
 
3.4%
초 1237
 
3.4%
Other values (224) 12408
34.4%
Punctuation
ValueCountFrequency (%)
※ 9
100.0%
None
ValueCountFrequency (%)
· 7
100.0%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%

할인정보
Text

MISSING 

Distinct232
Distinct (%)18.9%
Missing8105
Missing (%)86.9%
Memory size73.0 KiB
2024-05-04T07:36:47.145853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length984
Median length203
Mean length43.632137
Min length1

Characters and Unicode

Total characters53493
Distinct characters334
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)10.9%

Sample

1st row패키지 예매 40 할인+단체 10인 이상 20 할인+청소년(초/중/고등학생) 및 경로우대(만65세 이상) 20 할인+장애인(4-6급, 경증) 본인 50 할인+장애인(1-3급, 중증) 본인 및 동반 1인 50 할인+국가유공자 및 유족 본인 한정 무료국가유공자증, 국가유공자 유족증 제시
2nd row패키지 예매 40 할인+단체 10인 이상 20 할인+청소년(초/중/고등학생) 및 경로우대(만65세 이상) 20 할인+장애인(4-6급, 경증) 본인 50 할인+장애인(1-3급, 중증) 본인 및 동반 1인 50 할인+국가유공자 및 유족 본인 한정 무료국가유공자증, 국가유공자 유족증 제시
3rd row패키지 예매 40 할인+단체 10인 이상 20 할인+청소년(초/중/고등학생) 및 경로우대(만65세 이상) 20 할인+장애인(4-6급, 경증) 본인 50 할인+장애인(1-3급, 중증) 본인 및 동반 1인 50 할인+국가유공자 및 유족 본인 한정 무료국가유공자증, 국가유공자 유족증 제시
4th row패키지 예매 40 할인+단체 10인 이상 20 할인+청소년(초/중/고등학생) 및 경로우대(만65세 이상) 20 할인+장애인(4-6급, 경증) 본인 50 할인+장애인(1-3급, 중증) 본인 및 동반 1인 50 할인+국가유공자 및 유족 본인 한정 무료국가유공자증, 국가유공자 유족증 제시
5th row예술단원전용 30+예술인 패스 할인 30+유료회원할인 100+일단 단체 10인 이상 50+춘천 거주지역 할인 30+학생 단체 10인 이상 70+봉사활동(1천시간) 50+학생 및 청소년 할인 50+경로할인 50+국가유공자 50+장애인 할인 50
ValueCountFrequency (%)
및 442
 
4.9%
50 250
 
2.8%
할인 245
 
2.7%
장애인 208
 
2.3%
이상 203
 
2.3%
국가유공자 199
 
2.2%
50퍼센트 177
 
2.0%
등 168
 
1.9%
본인 158
 
1.8%
홈페이지 132
 
1.5%
Other values (781) 6824
75.8%
2024-05-04T07:36:48.253722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7782
 
14.5%
인 2996
 
5.6%
+ 2466
 
4.6%
0 2188
 
4.1%
자 1622
 
3.0%
할 1277
 
2.4%
5 1200
 
2.2%
) 1045
 
2.0%
( 1044
 
2.0%
유 951
 
1.8%
Other values (324) 30922
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33974
63.5%
Space Separator 7782
 
14.5%
Decimal Number 5849
 
10.9%
Math Symbol 2574
 
4.8%
Close Punctuation 1071
 
2.0%
Open Punctuation 1070
 
2.0%
Other Punctuation 849
 
1.6%
Dash Punctuation 171
 
0.3%
Uppercase Letter 104
 
0.2%
Control 23
 
< 0.1%
Other values (2) 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 2996
 
8.8%
자 1622
 
4.8%
할 1277
 
3.8%
유 951
 
2.8%
가 834
 
2.5%
장 831
 
2.4%
이 788
 
2.3%
공 764
 
2.2%
국 747
 
2.2%
애 745
 
2.2%
Other values (271) 22419
66.0%
Lowercase Letter
ValueCountFrequency (%)
w 3
20.0%
t 2
13.3%
r 2
13.3%
k 1
 
6.7%
o 1
 
6.7%
f 1
 
6.7%
c 1
 
6.7%
a 1
 
6.7%
j 1
 
6.7%
p 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
0 2188
37.4%
5 1200
20.5%
1 718
 
12.3%
3 552
 
9.4%
2 458
 
7.8%
4 316
 
5.4%
6 305
 
5.2%
8 48
 
0.8%
7 33
 
0.6%
9 31
 
0.5%
Math Symbol
ValueCountFrequency (%)
+ 2466
95.8%
~ 92
 
3.6%
< 5
 
0.2%
> 5
 
0.2%
＜ 2
 
0.1%
＞ 2
 
0.1%
→ 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 392
46.2%
/ 169
19.9%
※ 129
 
15.2%
: 74
 
8.7%
· 51
 
6.0%
. 33
 
3.9%
& 1
 
0.1%
Other Number
ValueCountFrequency (%)
④ 2
18.2%
① 2
18.2%
② 2
18.2%
③ 2
18.2%
⑤ 2
18.2%
⑥ 1
9.1%
Uppercase Letter
ValueCountFrequency (%)
V 26
25.0%
I 26
25.0%
P 26
25.0%
S 18
17.3%
N 8
 
7.7%
Close Punctuation
ValueCountFrequency (%)
) 1045
97.6%
] 26
 
2.4%
Open Punctuation
ValueCountFrequency (%)
( 1044
97.6%
[ 26
 
2.4%
Space Separator
ValueCountFrequency (%)
7782
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 171
100.0%
Control
ValueCountFrequency (%)
23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33974
63.5%
Common 19400
36.3%
Latin 119
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 2996
 
8.8%
자 1622
 
4.8%
할 1277
 
3.8%
유 951
 
2.8%
가 834
 
2.5%
장 831
 
2.4%
이 788
 
2.3%
공 764
 
2.2%
국 747
 
2.2%
애 745
 
2.2%
Other values (271) 22419
66.0%
Common
ValueCountFrequency (%)
7782
40.1%
+ 2466
 
12.7%
0 2188
 
11.3%
5 1200
 
6.2%
) 1045
 
5.4%
( 1044
 
5.4%
1 718
 
3.7%
3 552
 
2.8%
2 458
 
2.4%
, 392
 
2.0%
Other values (27) 1555
 
8.0%
Latin
ValueCountFrequency (%)
V 26
21.8%
I 26
21.8%
P 26
21.8%
S 18
15.1%
N 8
 
6.7%
w 3
 
2.5%
t 2
 
1.7%
r 2
 
1.7%
k 1
 
0.8%
o 1
 
0.8%
Other values (6) 6
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33833
63.2%
ASCII 19322
36.1%
Compat Jamo 141
 
0.3%
Punctuation 129
 
0.2%
None 55
 
0.1%
Enclosed Alphanum 11
 
< 0.1%
Arrows 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7782
40.3%
+ 2466
 
12.8%
0 2188
 
11.3%
5 1200
 
6.2%
) 1045
 
5.4%
( 1044
 
5.4%
1 718
 
3.7%
3 552
 
2.9%
2 458
 
2.4%
, 392
 
2.0%
Other values (32) 1477
 
7.6%
Hangul
ValueCountFrequency (%)
인 2996
 
8.9%
자 1622
 
4.8%
할 1277
 
3.8%
유 951
 
2.8%
가 834
 
2.5%
장 831
 
2.5%
이 788
 
2.3%
공 764
 
2.3%
국 747
 
2.2%
애 745
 
2.2%
Other values (270) 22278
65.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 141
100.0%
Punctuation
ValueCountFrequency (%)
※ 129
100.0%
None
ValueCountFrequency (%)
· 51
92.7%
＜ 2
 
3.6%
＞ 2
 
3.6%
Enclosed Alphanum
ValueCountFrequency (%)
④ 2
18.2%
① 2
18.2%
② 2
18.2%
③ 2
18.2%
⑤ 2
18.2%
⑥ 1
9.1%
Arrows
ValueCountFrequency (%)
→ 2
100.0%

유의사항
Text

MISSING 

Distinct154
Distinct (%)10.1%
Missing7813
Missing (%)83.7%
Memory size73.0 KiB
2024-05-04T07:36:48.916051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length250
Median length117
Mean length20.279315
Min length1

Characters and Unicode

Total characters30784
Distinct characters293
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)4.7%

Sample

1st row연주회 시작 후 객석입장 제한(중간입장이 가능한 공연은 안내원에 지시에 따라 착석 가능한 좌석에서 관람가능)
2nd row연주회 시작 후 객석입장 제한(중간입장이 가능한 공연은 안내원에 지시에 따라 착석 가능한 좌석에서 관람가능)
3rd row연주회 시작 후 객석입장 제한(중간입장이 가능한 공연은 안내원에 지시에 따라 착석 가능한 좌석에서 관람가능)
4th row연주회 시작 후 객석입장 제한(중간입장이 가능한 공연은 안내원에 지시에 따라 착석 가능한 좌석에서 관람가능)
5th row주류반입 금지+촬영 금지
ValueCountFrequency (%)
금지 617
 
7.7%
음식물 587
 
7.3%
반입 486
 
6.0%
및 376
 
4.7%
촬영 327
 
4.1%
사진 310
 
3.9%
주류 161
 
2.0%
20분전 146
 
1.8%
공연시간 146
 
1.8%
안으로 146
 
1.8%
Other values (413) 4743
59.0%
2024-05-04T07:36:50.273536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6527
21.2%
지 1657
 
5.4%
금 1281
 
4.2%
입 1098
 
3.6%
반 848
 
2.8%
연 815
 
2.6%
음 810
 
2.6%
공 798
 
2.6%
식 677
 
2.2%
+ 677
 
2.2%
Other values (283) 15596
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21970
71.4%
Space Separator 6527
 
21.2%
Decimal Number 823
 
2.7%
Math Symbol 681
 
2.2%
Other Punctuation 307
 
1.0%
Close Punctuation 183
 
0.6%
Open Punctuation 183
 
0.6%
Other Number 51
 
0.2%
Lowercase Letter 28
 
0.1%
Dash Punctuation 27
 
0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1657
 
7.5%
금 1281
 
5.8%
입 1098
 
5.0%
반 848
 
3.9%
연 815
 
3.7%
음 810
 
3.7%
공 798
 
3.6%
식 677
 
3.1%
물 666
 
3.0%
영 565
 
2.6%
Other values (247) 12755
58.1%
Decimal Number
ValueCountFrequency (%)
1 251
30.5%
0 194
23.6%
2 169
20.5%
4 130
15.8%
9 39
 
4.7%
8 19
 
2.3%
3 9
 
1.1%
5 7
 
0.9%
6 4
 
0.5%
7 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
14.3%
t 4
14.3%
r 4
14.3%
a 4
14.3%
l 4
14.3%
o 4
14.3%
s 2
7.1%
u 2
7.1%
Other Punctuation
ValueCountFrequency (%)
, 230
74.9%
. 64
 
20.8%
※ 6
 
2.0%
: 3
 
1.0%
/ 3
 
1.0%
& 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 677
99.4%
→ 2
 
0.3%
~ 2
 
0.3%
Other Number
ValueCountFrequency (%)
③ 17
33.3%
① 17
33.3%
② 17
33.3%
Space Separator
ValueCountFrequency (%)
6527
100.0%
Close Punctuation
ValueCountFrequency (%)
) 183
100.0%
Open Punctuation
ValueCountFrequency (%)
( 183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Uppercase Letter
ValueCountFrequency (%)
V 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21970
71.4%
Common 8784
 
28.5%
Latin 30
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1657
 
7.5%
금 1281
 
5.8%
입 1098
 
5.0%
반 848
 
3.9%
연 815
 
3.7%
음 810
 
3.7%
공 798
 
3.6%
식 677
 
3.1%
물 666
 
3.0%
영 565
 
2.6%
Other values (247) 12755
58.1%
Common
ValueCountFrequency (%)
6527
74.3%
+ 677
 
7.7%
1 251
 
2.9%
, 230
 
2.6%
0 194
 
2.2%
) 183
 
2.1%
( 183
 
2.1%
2 169
 
1.9%
4 130
 
1.5%
. 64
 
0.7%
Other values (17) 176
 
2.0%
Latin
ValueCountFrequency (%)
e 4
13.3%
t 4
13.3%
r 4
13.3%
a 4
13.3%
l 4
13.3%
o 4
13.3%
V 2
6.7%
s 2
6.7%
u 2
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21969
71.4%
ASCII 8753
 
28.4%
Enclosed Alphanum 51
 
0.2%
Punctuation 8
 
< 0.1%
Arrows 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6527
74.6%
+ 677
 
7.7%
1 251
 
2.9%
, 230
 
2.6%
0 194
 
2.2%
) 183
 
2.1%
( 183
 
2.1%
2 169
 
1.9%
4 130
 
1.5%
. 64
 
0.7%
Other values (20) 145
 
1.7%
Hangul
ValueCountFrequency (%)
지 1657
 
7.5%
금 1281
 
5.8%
입 1098
 
5.0%
반 848
 
3.9%
연 815
 
3.7%
음 810
 
3.7%
공 798
 
3.6%
식 677
 
3.1%
물 666
 
3.0%
영 565
 
2.6%
Other values (246) 12754
58.1%
Enclosed Alphanum
ValueCountFrequency (%)
③ 17
33.3%
① 17
33.3%
② 17
33.3%
Punctuation
ValueCountFrequency (%)
※ 6
75.0%
’ 2
 
25.0%
Arrows
ValueCountFrequency (%)
→ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

홈페이지주소
Text

MISSING 

Distinct1477
Distinct (%)20.4%
Missing2085
Missing (%)22.3%
Memory size73.0 KiB
2024-05-04T07:36:50.872239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length177
Median length92
Mean length32.916368
Min length1

Characters and Unicode

Total characters238512
Distinct characters91
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1315 ?
Unique (%)18.1%

Sample

1st rowhttp://hcc.haeundae.go.kr
2nd rowhttp://hcc.haeundae.go.kr
3rd rowhttp://hcc.haeundae.go.kr
4th rowhttp://hcc.haeundae.go.kr
5th rowhttp://hcc.haeundae.go.kr
ValueCountFrequency (%)
https://www.andong.go.kr/arts/main.do 428
 
5.9%
https://www.gunsan.go.kr/arts 378
 
5.2%
http://www.cccf.or.kr 315
 
4.3%
https://www.cng.go.kr/art.web 210
 
2.9%
http://hcc.haeundae.go.kr 202
 
2.8%
http://www.jeju.go.kr/jejuculture/index.htm 195
 
2.7%
https://www.cheongju.go.kr/ac/index.do 184
 
2.5%
https://artic.or.kr 173
 
2.4%
www.sjac.or.kr 146
 
2.0%
www.dge.go.kr/dccs 146
 
2.0%
Other values (1468) 4893
67.3%
2024-05-04T07:36:51.986360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 22977
 
9.6%
. 22218
 
9.3%
w 19500
 
8.2%
t 17553
 
7.4%
r 14690
 
6.2%
o 12714
 
5.3%
a 11061
 
4.6%
c 10133
 
4.2%
e 9781
 
4.1%
h 9343
 
3.9%
Other values (81) 88542
37.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 176182
73.9%
Other Punctuation 51792
 
21.7%
Decimal Number 8300
 
3.5%
Uppercase Letter 830
 
0.3%
Connector Punctuation 615
 
0.3%
Math Symbol 501
 
0.2%
Other Letter 262
 
0.1%
Space Separator 24
 
< 0.1%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 19500
 
11.1%
t 17553
 
10.0%
r 14690
 
8.3%
o 12714
 
7.2%
a 11061
 
6.3%
c 10133
 
5.8%
e 9781
 
5.6%
h 9343
 
5.3%
g 9105
 
5.2%
s 9076
 
5.2%
Other values (16) 53226
30.2%
Uppercase Letter
ValueCountFrequency (%)
H 237
28.6%
D 91
 
11.0%
T 73
 
8.8%
E 65
 
7.8%
U 64
 
7.7%
C 50
 
6.0%
S 39
 
4.7%
I 36
 
4.3%
L 34
 
4.1%
R 34
 
4.1%
Other values (13) 107
12.9%
Other Letter
ValueCountFrequency (%)
단 24
9.2%
재 24
9.2%
충 24
9.2%
남 24
9.2%
문 24
9.2%
화 24
9.2%
지 24
9.2%
이 24
9.2%
페 24
9.2%
홈 24
9.2%
Other values (12) 22
8.4%
Decimal Number
ValueCountFrequency (%)
0 1835
22.1%
1 1731
20.9%
2 1324
16.0%
3 619
 
7.5%
5 570
 
6.9%
4 568
 
6.8%
6 463
 
5.6%
8 411
 
5.0%
7 409
 
4.9%
9 370
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/ 22977
44.4%
. 22218
42.9%
: 6099
 
11.8%
& 309
 
0.6%
? 189
 
0.4%
Math Symbol
ValueCountFrequency (%)
= 499
99.6%
| 2
 
0.4%
Connector Punctuation
ValueCountFrequency (%)
_ 615
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 177012
74.2%
Common 61238
 
25.7%
Hangul 262
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 19500
 
11.0%
t 17553
 
9.9%
r 14690
 
8.3%
o 12714
 
7.2%
a 11061
 
6.2%
c 10133
 
5.7%
e 9781
 
5.5%
h 9343
 
5.3%
g 9105
 
5.1%
s 9076
 
5.1%
Other values (39) 54056
30.5%
Hangul
ValueCountFrequency (%)
단 24
9.2%
재 24
9.2%
충 24
9.2%
남 24
9.2%
문 24
9.2%
화 24
9.2%
지 24
9.2%
이 24
9.2%
페 24
9.2%
홈 24
9.2%
Other values (12) 22
8.4%
Common
ValueCountFrequency (%)
/ 22977
37.5%
. 22218
36.3%
: 6099
 
10.0%
0 1835
 
3.0%
1 1731
 
2.8%
2 1324
 
2.2%
3 619
 
1.0%
_ 615
 
1.0%
5 570
 
0.9%
4 568
 
0.9%
Other values (10) 2682
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 238250
99.9%
Hangul 262
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 22977
 
9.6%
. 22218
 
9.3%
w 19500
 
8.2%
t 17553
 
7.4%
r 14690
 
6.2%
o 12714
 
5.3%
a 11061
 
4.6%
c 10133
 
4.3%
e 9781
 
4.1%
h 9343
 
3.9%
Other values (59) 88280
37.1%
Hangul
ValueCountFrequency (%)
단 24
9.2%
재 24
9.2%
충 24
9.2%
남 24
9.2%
문 24
9.2%
화 24
9.2%
지 24
9.2%
이 24
9.2%
페 24
9.2%
홈 24
9.2%
Other values (12) 22
8.4%

예매정보
Text

MISSING 

Distinct324
Distinct (%)8.0%
Missing5289
Missing (%)56.7%
Memory size73.0 KiB
2024-05-04T07:36:52.618897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length193
Median length137
Mean length24.568036
Min length1

Characters and Unicode

Total characters99304
Distinct characters315
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique197 ?
Unique (%)4.9%

Sample

1st rowhttp://hcc.haeundae.go.kr
2nd rowhttp://hcc.haeundae.go.kr
3rd rowhttp://hcc.haeundae.go.kr
4th rowhttp://hcc.haeundae.go.kr
5th rowhttp://hcc.haeundae.go.kr
ValueCountFrequency (%)
홈페이지 739
 
13.0%
https://www.andong.go.kr/arts/main.do 428
 
7.5%
http://www.ticketlink.co.kr 334
 
5.9%
300
 
5.3%
http://hcc.haeundae.go.kr 202
 
3.6%
https://artic.or.kr 173
 
3.0%
www.dge.go.kr/dccs 146
 
2.6%
콜센터 142
 
2.5%
http://www.sori21.co.kr/index.sko 138
 
2.4%
http://www.yangsanart.net 134
 
2.4%
Other values (419) 2954
51.9%
2024-05-04T07:36:54.239733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 8896
 
9.0%
/ 8444
 
8.5%
t 8072
 
8.1%
w 6886
 
6.9%
o 5254
 
5.3%
r 5071
 
5.1%
n 4182
 
4.2%
k 3928
 
4.0%
a 3701
 
3.7%
g 3445
 
3.5%
Other values (305) 41425
41.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 65688
66.1%
Other Punctuation 20679
 
20.8%
Other Letter 7826
 
7.9%
Decimal Number 2111
 
2.1%
Space Separator 1691
 
1.7%
Math Symbol 399
 
0.4%
Connector Punctuation 357
 
0.4%
Uppercase Letter 292
 
0.3%
Dash Punctuation 96
 
0.1%
Open Punctuation 82
 
0.1%
Other values (2) 83
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 806
 
10.3%
지 783
 
10.0%
페 764
 
9.8%
홈 762
 
9.7%
자 225
 
2.9%
매 217
 
2.8%
터 207
 
2.6%
신 195
 
2.5%
청 193
 
2.5%
장 177
 
2.3%
Other values (219) 3497
44.7%
Lowercase Letter
ValueCountFrequency (%)
t 8072
12.3%
w 6886
 
10.5%
o 5254
 
8.0%
r 5071
 
7.7%
n 4182
 
6.4%
k 3928
 
6.0%
a 3701
 
5.6%
g 3445
 
5.2%
i 3344
 
5.1%
h 3252
 
5.0%
Other values (16) 18553
28.2%
Uppercase Letter
ValueCountFrequency (%)
C 67
22.9%
P 41
14.0%
U 32
11.0%
N 29
9.9%
B 19
 
6.5%
L 16
 
5.5%
G 13
 
4.5%
O 9
 
3.1%
I 9
 
3.1%
S 8
 
2.7%
Other values (16) 49
16.8%
Other Punctuation
ValueCountFrequency (%)
. 8896
43.0%
/ 8444
40.8%
: 2555
 
12.4%
' 480
 
2.3%
? 119
 
0.6%
, 80
 
0.4%
& 78
 
0.4%
※ 12
 
0.1%
* 9
 
< 0.1%
@ 3
 
< 0.1%
Other values (3) 3
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 543
25.7%
0 388
18.4%
5 304
14.4%
2 301
14.3%
3 175
 
8.3%
6 169
 
8.0%
4 108
 
5.1%
9 56
 
2.7%
8 35
 
1.7%
7 32
 
1.5%
Math Symbol
ValueCountFrequency (%)
= 253
63.4%
> 53
 
13.3%
< 53
 
13.3%
+ 33
 
8.3%
~ 7
 
1.8%
Space Separator
ValueCountFrequency (%)
1691
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 357
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 65980
66.4%
Common 25498
 
25.7%
Hangul 7826
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 806
 
10.3%
지 783
 
10.0%
페 764
 
9.8%
홈 762
 
9.7%
자 225
 
2.9%
매 217
 
2.8%
터 207
 
2.6%
신 195
 
2.5%
청 193
 
2.5%
장 177
 
2.3%
Other values (219) 3497
44.7%
Latin
ValueCountFrequency (%)
t 8072
12.2%
w 6886
 
10.4%
o 5254
 
8.0%
r 5071
 
7.7%
n 4182
 
6.3%
k 3928
 
6.0%
a 3701
 
5.6%
g 3445
 
5.2%
i 3344
 
5.1%
h 3252
 
4.9%
Other values (42) 18845
28.6%
Common
ValueCountFrequency (%)
. 8896
34.9%
/ 8444
33.1%
: 2555
 
10.0%
1691
 
6.6%
1 543
 
2.1%
' 480
 
1.9%
0 388
 
1.5%
_ 357
 
1.4%
5 304
 
1.2%
2 301
 
1.2%
Other values (24) 1539
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91463
92.1%
Hangul 7826
 
7.9%
Punctuation 13
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 8896
 
9.7%
/ 8444
 
9.2%
t 8072
 
8.8%
w 6886
 
7.5%
o 5254
 
5.7%
r 5071
 
5.5%
n 4182
 
4.6%
k 3928
 
4.3%
a 3701
 
4.0%
g 3445
 
3.8%
Other values (72) 33584
36.7%
Hangul
ValueCountFrequency (%)
이 806
 
10.3%
지 783
 
10.0%
페 764
 
9.8%
홈 762
 
9.7%
자 225
 
2.9%
매 217
 
2.8%
터 207
 
2.6%
신 195
 
2.5%
청 193
 
2.5%
장 177
 
2.3%
Other values (219) 3497
44.7%
Punctuation
ValueCountFrequency (%)
※ 12
92.3%
‘ 1
 
7.7%
None
ValueCountFrequency (%)
＇ 1
50.0%
＊ 1
50.0%

주차장보유여부
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size73.0 KiB
Y
7515 
1568 
N
 
248

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Y 7515
80.5%
1568
 
16.8%
N 248
 
2.7%

Length

2024-05-04T07:36:54.765628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:36:55.143172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 7515
96.8%
n 248
 
3.2%

소재지도로명주소
Text

MISSING 

Distinct737
Distinct (%)8.0%
Missing146
Missing (%)1.6%
Memory size73.0 KiB
2024-05-04T07:36:56.238486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length37
Mean length19.503974
Min length2

Characters and Unicode

Total characters179144
Distinct characters376
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique423 ?
Unique (%)4.6%

Sample

1st row부산광역시 해운대구 양운로 97
2nd row부산광역시 해운대구 양운로 97
3rd row부산광역시 해운대구 양운로 97
4th row부산광역시 해운대구 양운로 97
5th row부산광역시 해운대구 양운로 97
ValueCountFrequency (%)
경기도 1573
 
3.9%
광주광역시 1391
 
3.5%
동구 1211
 
3.0%
38 1134
 
2.8%
광산동 1133
 
2.8%
문화전당로 1133
 
2.8%
경상북도 905
 
2.2%
강원도 717
 
1.8%
제주특별자치도 547
 
1.4%
경상남도 493
 
1.2%
Other values (1480) 30043
74.6%
2024-05-04T07:36:57.774358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31095
 
17.4%
시 8324
 
4.6%
로 7857
 
4.4%
도 6245
 
3.5%
광 5909
 
3.3%
동 4933
 
2.8%
1 4857
 
2.7%
구 4224
 
2.4%
3 3810
 
2.1%
산 3755
 
2.1%
Other values (366) 98135
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118574
66.2%
Space Separator 31095
 
17.4%
Decimal Number 26055
 
14.5%
Close Punctuation 1214
 
0.7%
Open Punctuation 1214
 
0.7%
Dash Punctuation 767
 
0.4%
Uppercase Letter 136
 
0.1%
Other Punctuation 88
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 8324
 
7.0%
로 7857
 
6.6%
도 6245
 
5.3%
광 5909
 
5.0%
동 4933
 
4.2%
구 4224
 
3.6%
산 3755
 
3.2%
경 3292
 
2.8%
주 3116
 
2.6%
역 2588
 
2.2%
Other values (342) 68331
57.6%
Decimal Number
ValueCountFrequency (%)
1 4857
18.6%
3 3810
14.6%
2 3601
13.8%
8 2516
9.7%
6 2196
8.4%
4 2162
8.3%
5 2029
7.8%
0 1882
 
7.2%
9 1699
 
6.5%
7 1303
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
S 63
46.3%
K 63
46.3%
C 3
 
2.2%
B 2
 
1.5%
F 2
 
1.5%
E 1
 
0.7%
P 1
 
0.7%
A 1
 
0.7%
Space Separator
ValueCountFrequency (%)
31095
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1214
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1214
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 767
100.0%
Other Punctuation
ValueCountFrequency (%)
, 88
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 118574
66.2%
Common 60434
33.7%
Latin 136
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 8324
 
7.0%
로 7857
 
6.6%
도 6245
 
5.3%
광 5909
 
5.0%
동 4933
 
4.2%
구 4224
 
3.6%
산 3755
 
3.2%
경 3292
 
2.8%
주 3116
 
2.6%
역 2588
 
2.2%
Other values (342) 68331
57.6%
Common
ValueCountFrequency (%)
31095
51.5%
1 4857
 
8.0%
3 3810
 
6.3%
2 3601
 
6.0%
8 2516
 
4.2%
6 2196
 
3.6%
4 2162
 
3.6%
5 2029
 
3.4%
0 1882
 
3.1%
9 1699
 
2.8%
Other values (6) 4587
 
7.6%
Latin
ValueCountFrequency (%)
S 63
46.3%
K 63
46.3%
C 3
 
2.2%
B 2
 
1.5%
F 2
 
1.5%
E 1
 
0.7%
P 1
 
0.7%
A 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 118574
66.2%
ASCII 60570
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31095
51.3%
1 4857
 
8.0%
3 3810
 
6.3%
2 3601
 
5.9%
8 2516
 
4.2%
6 2196
 
3.6%
4 2162
 
3.6%
5 2029
 
3.3%
0 1882
 
3.1%
9 1699
 
2.8%
Other values (14) 4723
 
7.8%
Hangul
ValueCountFrequency (%)
시 8324
 
7.0%
로 7857
 
6.6%
도 6245
 
5.3%
광 5909
 
5.0%
동 4933
 
4.2%
구 4224
 
3.6%
산 3755
 
3.2%
경 3292
 
2.8%
주 3116
 
2.6%
역 2588
 
2.2%
Other values (342) 68331
57.6%

소재지지번주소
Text

MISSING 

Distinct655
Distinct (%)8.6%
Missing1674
Missing (%)17.9%
Memory size73.0 KiB
2024-05-04T07:36:58.669761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length17.988638
Min length2

Characters and Unicode

Total characters137739
Distinct characters287
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

Unique399 ?
Unique (%)5.2%

Sample

1st row부산광역시 해운대구 좌동 1458-1
2nd row부산광역시 해운대구 좌동 1458-1
3rd row부산광역시 해운대구 좌동 1458-1
4th row부산광역시 해운대구 좌동 1458-1
5th row부산광역시 해운대구 좌동 1458-1
ValueCountFrequency (%)
광주광역시 1397
 
4.4%
경기도 1264
 
4.0%
동구 1219
 
3.9%
광산동 1133
 
3.6%
13 1133
 
3.6%
경상북도 877
 
2.8%
강원도 696
 
2.2%
대구광역시 436
 
1.4%
안동시 428
 
1.4%
안흥동 428
 
1.4%
Other values (1350) 22629
71.5%
2024-05-04T07:37:00.422453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23983
 
17.4%
동 8908
 
6.5%
시 7098
 
5.2%
1 5869
 
4.3%
광 5464
 
4.0%
도 4976
 
3.6%
- 3823
 
2.8%
산 3805
 
2.8%
구 3593
 
2.6%
3 3449
 
2.5%
Other values (277) 66771
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 84465
61.3%
Decimal Number 25303
 
18.4%
Space Separator 23983
 
17.4%
Dash Punctuation 3823
 
2.8%
Close Punctuation 78
 
0.1%
Open Punctuation 78
 
0.1%
Uppercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 8908
 
10.5%
시 7098
 
8.4%
광 5464
 
6.5%
도 4976
 
5.9%
산 3805
 
4.5%
구 3593
 
4.3%
경 2717
 
3.2%
역 2476
 
2.9%
주 2323
 
2.8%
북 1730
 
2.0%
Other values (260) 41375
49.0%
Decimal Number
ValueCountFrequency (%)
1 5869
23.2%
3 3449
13.6%
2 2803
11.1%
8 2512
9.9%
5 2430
9.6%
4 2226
 
8.8%
7 2057
 
8.1%
0 1561
 
6.2%
6 1536
 
6.1%
9 860
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
K 3
33.3%
G 3
33.3%
T 3
33.3%
Space Separator
ValueCountFrequency (%)
23983
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3823
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 84465
61.3%
Common 53265
38.7%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 8908
 
10.5%
시 7098
 
8.4%
광 5464
 
6.5%
도 4976
 
5.9%
산 3805
 
4.5%
구 3593
 
4.3%
경 2717
 
3.2%
역 2476
 
2.9%
주 2323
 
2.8%
북 1730
 
2.0%
Other values (260) 41375
49.0%
Common
ValueCountFrequency (%)
23983
45.0%
1 5869
 
11.0%
- 3823
 
7.2%
3 3449
 
6.5%
2 2803
 
5.3%
8 2512
 
4.7%
5 2430
 
4.6%
4 2226
 
4.2%
7 2057
 
3.9%
0 1561
 
2.9%
Other values (4) 2552
 
4.8%
Latin
ValueCountFrequency (%)
K 3
33.3%
G 3
33.3%
T 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 84465
61.3%
ASCII 53274
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23983
45.0%
1 5869
 
11.0%
- 3823
 
7.2%
3 3449
 
6.5%
2 2803
 
5.3%
8 2512
 
4.7%
5 2430
 
4.6%
4 2226
 
4.2%
7 2057
 
3.9%
0 1561
 
2.9%
Other values (7) 2561
 
4.8%
Hangul
ValueCountFrequency (%)
동 8908
 
10.5%
시 7098
 
8.4%
광 5464
 
6.5%
도 4976
 
5.9%
산 3805
 
4.5%
구 3593
 
4.3%
경 2717
 
3.2%
역 2476
 
2.9%
주 2323
 
2.8%
북 1730
 
2.0%
Other values (260) 41375
49.0%

위도
Real number (ℝ)

MISSING 

Distinct651
Distinct (%)8.2%
Missing1351
Missing (%)14.5%
Infinite0
Infinite (%)0.0%
Mean36.118147
Minimum33.246333
Maximum41.077811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size82.1 KiB
2024-05-04T07:37:01.038693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.246333
5-th percentile33.504444
Q135.146719
median35.960782
Q337.384556
95-th percentile37.872616
Maximum41.077811
Range7.831478
Interquartile range (IQR)2.2378369

Descriptive statistics

Standard deviation1.2357684
Coefficient of variation (CV)0.034214612
Kurtosis-0.52398909
Mean36.118147
Median Absolute Deviation (MAD)0.81406314
Skewness-0.28965222
Sum288222.81
Variance1.5271235
MonotonicityNot monotonic
2024-05-04T07:37:01.718039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.1467193 1133
 
12.1%
36.559409 428
 
4.6%
35.96078244 378
 
4.1%
37.43896231 374
 
4.0%
37.87261579 211
 
2.3%
35.544717 211
 
2.3%
35.1711677 202
 
2.2%
33.50444397 195
 
2.1%
35.14050104 175
 
1.9%
37.27212363 173
 
1.9%
Other values (641) 4500
48.2%
(Missing) 1351
 
14.5%
ValueCountFrequency (%)
33.246333 143
1.5%
33.251069 29
 
0.3%
33.4751044 105
1.1%
33.48439696 74
 
0.8%
33.50444397 195
2.1%
34.32078168 1
 
< 0.1%
34.47970566 1
 
< 0.1%
34.57347896 6
 
0.1%
34.60495023 1
 
< 0.1%
34.638136 87
0.9%
ValueCountFrequency (%)
41.077811 1
< 0.1%
40.077811 1
< 0.1%
39.077811 1
< 0.1%
38.57624688 1
< 0.1%
38.56864736 1
< 0.1%
38.2552017551 1
< 0.1%
38.2450630839 1
< 0.1%
38.2110747687 2
< 0.1%
38.1997738788 1
< 0.1%
38.1854214075 1
< 0.1%

경도
Real number (ℝ)

MISSING 

Distinct646
Distinct (%)8.1%
Missing1351
Missing (%)14.5%
Infinite0
Infinite (%)0.0%
Mean127.59254
Minimum126.26858
Maximum130.90498
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size82.1 KiB
2024-05-04T07:37:02.319196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.26858
5-th percentile126.53517
Q1126.86331
median127.07975
Q3128.54554
95-th percentile129.17397
Maximum130.90498
Range4.6364064
Interquartile range (IQR)1.6822277

Descriptive statistics

Standard deviation0.93498504
Coefficient of variation (CV)0.0073278974
Kurtosis-1.1623022
Mean127.59254
Median Absolute Deviation (MAD)0.411891
Skewness0.61734784
Sum1018188.5
Variance0.87419703
MonotonicityNot monotonic
2024-05-04T07:37:03.090437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9202542 1133
 
12.1%
128.725076 428
 
4.6%
126.7070385 378
 
4.1%
129.160162 374
 
4.0%
127.7293405 229
 
2.5%
128.490241 211
 
2.3%
129.1739716 202
 
2.2%
126.5351724 195
 
2.1%
126.7992316 175
 
1.9%
127.4350343 173
 
1.9%
Other values (636) 4482
48.0%
(Missing) 1351
 
14.5%
ValueCountFrequency (%)
126.2685771 1
 
< 0.1%
126.4473057 1
 
< 0.1%
126.448616 13
 
0.1%
126.4629297 3
 
< 0.1%
126.4720313 14
 
0.2%
126.4738692 1
 
< 0.1%
126.5003713 74
0.8%
126.508556 10
 
0.1%
126.508668 29
 
0.3%
126.5155186 105
1.1%
ValueCountFrequency (%)
130.9049835 5
0.1%
129.5262562 1
 
< 0.1%
129.5015869 1
 
< 0.1%
129.5015858 1
 
< 0.1%
129.5013972 1
 
< 0.1%
129.498972 1
 
< 0.1%
129.486758 1
 
< 0.1%
129.4744445 1
 
< 0.1%
129.4734225 1
 
< 0.1%
129.4699776 1
 
< 0.1%

데이터기준일자
Date

Distinct150
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size73.0 KiB
Minimum2017-04-24 00:00:00
Maximum2024-04-03 00:00:00
2024-05-04T07:37:03.640670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:37:04.349881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Text

Distinct261
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size73.0 KiB
2024-05-04T07:37:05.276139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters65317
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)0.6%

Sample

1st row3330000
2nd row3330000
3rd row3330000
4th row3330000
5th row3330000
ValueCountFrequency (%)
b553558 1133
 
12.1%
5070000 428
 
4.6%
4180000 400
 
4.3%
6500000 269
 
2.9%
3820000 261
 
2.8%
5410000 211
 
2.3%
3330000 202
 
2.2%
3630000 197
 
2.1%
4241000 196
 
2.1%
5050000 192
 
2.1%
Other values (251) 5842
62.6%
2024-05-04T07:37:06.588243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 32523
49.8%
5 8896
 
13.6%
3 5266
 
8.1%
4 4611
 
7.1%
8 2972
 
4.6%
1 2494
 
3.8%
6 2038
 
3.1%
7 1991
 
3.0%
2 1883
 
2.9%
9 1337
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 64011
98.0%
Uppercase Letter 1306
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32523
50.8%
5 8896
 
13.9%
3 5266
 
8.2%
4 4611
 
7.2%
8 2972
 
4.6%
1 2494
 
3.9%
6 2038
 
3.2%
7 1991
 
3.1%
2 1883
 
2.9%
9 1337
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
B 1306
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 64011
98.0%
Latin 1306
 
2.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 32523
50.8%
5 8896
 
13.9%
3 5266
 
8.2%
4 4611
 
7.2%
8 2972
 
4.6%
1 2494
 
3.9%
6 2038
 
3.2%
7 1991
 
3.1%
2 1883
 
2.9%
9 1337
 
2.1%
Latin
ValueCountFrequency (%)
B 1306
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 65317
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 32523
49.8%
5 8896
 
13.6%
3 5266
 
8.1%
4 4611
 
7.1%
8 2972
 
4.6%
1 2494
 
3.8%
6 2038
 
3.1%
7 1991
 
3.0%
2 1883
 
2.9%
9 1337
 
2.0%

제공기관명
Text

Distinct261
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size73.0 KiB
2024-05-04T07:37:07.369331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length8.0540135
Min length4

Characters and Unicode

Total characters75152
Distinct characters150
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)0.6%

Sample

1st row부산광역시 해운대구
2nd row부산광역시 해운대구
3rd row부산광역시 해운대구
4th row부산광역시 해운대구
5th row부산광역시 해운대구
ValueCountFrequency (%)
경기도 1605
 
9.6%
아시아문화원 1133
 
6.8%
경상북도 944
 
5.7%
강원도 693
 
4.2%
제주특별자치도 546
 
3.3%
경상남도 499
 
3.0%
안동시 428
 
2.6%
춘천시 408
 
2.5%
전라북도 400
 
2.4%
군산시 378
 
2.3%
Other values (217) 9599
57.7%
2024-05-04T07:37:08.686238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 7734
 
10.3%
7302
 
9.7%
도 6358
 
8.5%
경 3332
 
4.4%
원 2406
 
3.2%
아 2277
 
3.0%
광 2229
 
3.0%
북 1944
 
2.6%
구 1871
 
2.5%
기 1605
 
2.1%
Other values (140) 38094
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67850
90.3%
Space Separator 7302
 
9.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 7734
 
11.4%
도 6358
 
9.4%
경 3332
 
4.9%
원 2406
 
3.5%
아 2277
 
3.4%
광 2229
 
3.3%
북 1944
 
2.9%
구 1871
 
2.8%
기 1605
 
2.4%
산 1585
 
2.3%
Other values (139) 36509
53.8%
Space Separator
ValueCountFrequency (%)
7302
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67850
90.3%
Common 7302
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 7734
 
11.4%
도 6358
 
9.4%
경 3332
 
4.9%
원 2406
 
3.5%
아 2277
 
3.4%
광 2229
 
3.3%
북 1944
 
2.9%
구 1871
 
2.8%
기 1605
 
2.4%
산 1585
 
2.3%
Other values (139) 36509
53.8%
Common
ValueCountFrequency (%)
7302
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67850
90.3%
ASCII 7302
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 7734
 
11.4%
도 6358
 
9.4%
경 3332
 
4.9%
원 2406
 
3.5%
아 2277
 
3.4%
광 2229
 
3.3%
북 1944
 
2.9%
구 1871
 
2.8%
기 1605
 
2.4%
산 1585
 
2.3%
Other values (139) 36509
53.8%
ASCII
ValueCountFrequency (%)
7302
100.0%

Sample

행사명장소행사내용행사시작일자행사종료일자행사시작시각행사종료시각요금정보주관기관명주최기관명전화번호후원기관명객석수관람요금입장연령할인정보유의사항홈페이지주소예매정보주차장보유여부소재지도로명주소소재지지번주소위도경도데이터기준일자제공기관코드제공기관명
0초록미술 전시회제2전시실전시2023-04-142023-04-1509:0020:00무료최학보최학보051-749-7661<NA><NA><NA><NA><NA><NA>http://hcc.haeundae.go.krhttp://hcc.haeundae.go.krY부산광역시 해운대구 양운로 97부산광역시 해운대구 좌동 1458-135.171168129.1739722024-02-263330000부산광역시 해운대구
1하유전제2전시실전시2023-04-172023-04-2309:0020:00무료조준백조준백051-749-7661<NA><NA><NA><NA><NA><NA>http://hcc.haeundae.go.krhttp://hcc.haeundae.go.krY부산광역시 해운대구 양운로 97부산광역시 해운대구 좌동 1458-135.171168129.1739722024-02-263330000부산광역시 해운대구
2이정희 개인전제2전시실전시2023-04-292023-05-0309:0020:00무료남명은남명은051-749-7661<NA><NA><NA><NA><NA><NA>http://hcc.haeundae.go.krhttp://hcc.haeundae.go.krY부산광역시 해운대구 양운로 97부산광역시 해운대구 좌동 1458-135.171168129.1739722024-02-263330000부산광역시 해운대구
3손유하 개인전제2전시실전시2023-05-042023-05-1209:0020:00무료손정인손정인051-749-7661<NA><NA><NA><NA><NA><NA>http://hcc.haeundae.go.krhttp://hcc.haeundae.go.krY부산광역시 해운대구 양운로 97부산광역시 해운대구 좌동 1458-135.171168129.1739722024-02-263330000부산광역시 해운대구
4진은정 작가 외 그룹전시회제2전시실전시2023-05-132023-05-2009:0020:00무료진은정진은정051-749-7661<NA><NA><NA><NA><NA><NA>http://hcc.haeundae.go.krhttp://hcc.haeundae.go.krY부산광역시 해운대구 양운로 97부산광역시 해운대구 좌동 1458-135.171168129.1739722024-02-263330000부산광역시 해운대구
5양시온 개인전제2전시실전시2023-05-212023-05-2509:0020:00무료양시온양시온051-749-7661<NA><NA><NA><NA><NA><NA>http://hcc.haeundae.go.krhttp://hcc.haeundae.go.krY부산광역시 해운대구 양운로 97부산광역시 해운대구 좌동 1458-135.171168129.1739722024-02-263330000부산광역시 해운대구
62023 박일철 개인전 나비의 꿈제2전시실전시2023-05-262023-06-0109:0020:00무료박일철박일철051-749-7661<NA><NA><NA><NA><NA><NA>http://hcc.haeundae.go.krhttp://hcc.haeundae.go.krY부산광역시 해운대구 양운로 97부산광역시 해운대구 좌동 1458-135.171168129.1739722024-02-263330000부산광역시 해운대구
7제 5회 스토리아트 아이들의 ART STORY제2전시실전시2023-06-022023-06-0609:0020:00무료정성희정성희051-749-7661<NA><NA><NA><NA><NA><NA>http://hcc.haeundae.go.krhttp://hcc.haeundae.go.krY부산광역시 해운대구 양운로 97부산광역시 해운대구 좌동 1458-135.171168129.1739722024-02-263330000부산광역시 해운대구
8캘리(Calligraphy)와 젠탱글(Zentangle)의 만남제2전시실전시2023-06-072023-06-1009:0020:00무료정진상정진상051-749-7661<NA><NA><NA><NA><NA><NA>http://hcc.haeundae.go.krhttp://hcc.haeundae.go.krY부산광역시 해운대구 양운로 97부산광역시 해운대구 좌동 1458-135.171168129.1739722024-02-263330000부산광역시 해운대구
9이상하게 끌리는 paperflower artcraft제2전시실전시2023-06-122023-06-1809:0020:00무료김하나김하나051-749-7661<NA><NA><NA><NA><NA><NA>http://hcc.haeundae.go.krhttp://hcc.haeundae.go.krY부산광역시 해운대구 양운로 97부산광역시 해운대구 좌동 1458-135.171168129.1739722024-02-263330000부산광역시 해운대구
행사명장소행사내용행사시작일자행사종료일자행사시작시각행사종료시각요금정보주관기관명주최기관명전화번호후원기관명객석수관람요금입장연령할인정보유의사항홈페이지주소예매정보주차장보유여부소재지도로명주소소재지지번주소위도경도데이터기준일자제공기관코드제공기관명
9321마토콘서트Ⅰ) <천막극장>야외광장(야외공연)콘서트+연극2021-02-262021-02-2719:3018:00무료대구광역시 서구문화회관대구광역시 서구문화회관053-663-3081<NA>100<NA>8세이상<NA><NA>https://www.dgs.go.kr/culture/index.php<NA>Y대구광역시 서구 당산로 403대구광역시 서구 이현동 48-14435.872792128.5455362024-02-013430000대구광역시 서구
9322로코연극 <보잉보잉>서구문화회관 공연장연극2021-03-122021-03-1319:3018:30무료세종공연예술센터대구광역시 서구문화회관053-663-3081<NA>442<NA>15세이상<NA><NA>https://www.dgs.go.kr/culture/index.php<NA>Y대구광역시 서구 당산로 403대구광역시 서구 이현동 48-14435.872792128.5455362024-02-013430000대구광역시 서구
9323어린이뮤지컬 <신데렐라>서구문화회관 공연장뮤지컬2021-03-202021-03-2011:0017:00무료극단 온누리대구광역시 서구문화회관053-663-3081<NA>442<NA>36개월이상<NA><NA>https://www.dgs.go.kr/culture/index.php<NA>Y대구광역시 서구 당산로 403대구광역시 서구 이현동 48-14435.872792128.5455362024-02-013430000대구광역시 서구
9324마토콘서트Ⅱ) <박미경과 함께하는 팝스콘서트>서구문화회관 공연장클래식2021-03-272021-03-2717:0018:30무료로얄팝스오케스트라대구광역시 서구문화회관053-663-3081<NA>442<NA>10세이상<NA><NA>https://www.dgs.go.kr/culture/index.php<NA>Y대구광역시 서구 당산로 403대구광역시 서구 이현동 48-14435.872792128.5455362024-02-013430000대구광역시 서구
9325피아노 음악회 <헬로 88>서구문화회관 공연장클래식2021-04-052021-04-0919:3021:00무료대구광역시 서구문화회관대구광역시 서구문화회관053-663-3081<NA>442<NA>10세이상<NA><NA>https://www.dgs.go.kr/culture/index.php<NA>Y대구광역시 서구 당산로 403대구광역시 서구 이현동 48-14435.872792128.5455362024-02-013430000대구광역시 서구
9326마토콘서트Ⅲ) 오케스트라 콘서트 <헬로 아리아>서구문화회관 공연장클래식2021-04-242021-04-2417:0018:30무료CM심포니오케스트라대구광역시 서구문화회관053-663-3081<NA>442<NA>10세이상<NA><NA>https://www.dgs.go.kr/culture/index.php<NA>Y대구광역시 서구 당산로 403대구광역시 서구 이현동 48-14435.872792128.5455362024-02-013430000대구광역시 서구
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